From d9cdcf17215db0d61cd86fc9724bcb2740377cae Mon Sep 17 00:00:00 2001 From: Laura Glendenning Date: Wed, 4 Aug 2021 11:38:21 -0400 Subject: [PATCH] Updates from internal development branch. This includes two main features: 1. Add/fix status/train/predict endpoints for pipelines. 2. Add OpenAPI specification for backend API. --- .gitignore | 1 + README.md | 14 + backend/pine/backend/admin/bp.py | 14 +- backend/pine/backend/admin/openapi.yaml | 361 ++ backend/pine/backend/annotations/bp.py | 47 +- backend/pine/backend/annotations/openapi.yaml | 211 + backend/pine/backend/api/.gitignore | 3 + backend/pine/backend/api/__init__.py | 4 + backend/pine/backend/api/base.yaml | 34 + backend/pine/backend/api/bp.py | 34 + backend/pine/backend/api/components.yaml | 611 +++ .../pine/backend/api/download_swagger_ui.sh | 22 + backend/pine/backend/api/openapi.yaml | 4325 +++++++++++++++++ backend/pine/backend/api/swagger-ui/VERSION | 1 + .../backend/api/swagger-ui/favicon-16x16.png | Bin 0 -> 665 bytes .../backend/api/swagger-ui/favicon-32x32.png | Bin 0 -> 628 bytes .../pine/backend/api/swagger-ui/index.html | 60 + .../api/swagger-ui/oauth2-redirect.html | 75 + .../api/swagger-ui/swagger-ui-bundle.js | 3 + .../api/swagger-ui/swagger-ui-bundle.js.map | 1 + .../swagger-ui/swagger-ui-es-bundle-core.js | 3 + .../swagger-ui-es-bundle-core.js.map | 1 + .../api/swagger-ui/swagger-ui-es-bundle.js | 3 + .../swagger-ui/swagger-ui-es-bundle.js.map | 1 + .../swagger-ui-standalone-preset.js | 3 + .../swagger-ui-standalone-preset.js.map | 1 + .../backend/api/swagger-ui/swagger-ui.css | 4 + .../backend/api/swagger-ui/swagger-ui.css.map | 1 + .../pine/backend/api/swagger-ui/swagger-ui.js | 3 + .../backend/api/swagger-ui/swagger-ui.js.map | 1 + backend/pine/backend/app.py | 3 + backend/pine/backend/auth/bp.py | 4 +- backend/pine/backend/auth/openapi.yaml | 410 ++ backend/pine/backend/collections/__init__.py | 2 +- backend/pine/backend/collections/bp.py | 21 +- backend/pine/backend/collections/openapi.yaml | 715 +++ backend/pine/backend/documents/openapi.yaml | 329 ++ backend/pine/backend/job_manager/service.py | 124 +- backend/pine/backend/pineiaa/bp.py | 9 +- backend/pine/backend/pineiaa/openapi.yaml | 72 + backend/pine/backend/pipelines/bp.py | 384 +- backend/pine/backend/pipelines/openapi.yaml | 541 +++ backend/pine/backend/shared/config.py | 6 +- client/pine/client/client.py | 185 + .../autoapi/pine/backend/api/bp/index.doctree | Bin 0 -> 13532 bytes .../autoapi/pine/backend/api/index.doctree | Bin 0 -> 3751 bytes .../pine/backend/collections/bp/index.doctree | Bin 93197 -> 93590 bytes .../pine/backend/collections/index.doctree | Bin 17934 -> 21206 bytes .../autoapi/pine/backend/index.doctree | Bin 9592 -> 9633 bytes .../backend/job_manager/service/index.doctree | Bin 51041 -> 77830 bytes .../pine/backend/pipelines/bp/index.doctree | Bin 37455 -> 79257 bytes .../autoapi/pine/client/client/index.doctree | Bin 365463 -> 430412 bytes .../autoapi/pine/client/index.doctree | Bin 318435 -> 383476 bytes .../pine/pipelines/EveClient/index.doctree | Bin 20167 -> 35195 bytes .../pine/pipelines/NER_API/index.doctree | Bin 18413 -> 30610 bytes .../pipelines/RankingFunctions/index.doctree | Bin 23656 -> 53467 bytes .../listener/service_listener/index.doctree | Bin 39750 -> 49617 bytes .../corenlp_NER_pipeline/index.doctree | Bin 33322 -> 40938 bytes .../opennlp_NER_pipeline/index.doctree | Bin 33939 -> 42589 bytes .../pine/pipelines/pipeline/index.doctree | Bin 14849 -> 51601 bytes .../pine/pipelines/pmap_ner/index.doctree | Bin 21577 -> 26600 bytes .../pipelines/shared/config/index.doctree | Bin 68210 -> 69066 bytes .../spacy_NER_pipeline/index.doctree | Bin 22910 -> 30645 bytes docs/build/doctrees/environment.pickle | Bin 3318562 -> 3490464 bytes .../autoapi/pine/backend/api/bp/index.rst.txt | 43 + .../autoapi/pine/backend/api/index.rst.txt | 21 + .../pine/backend/collections/bp/index.rst.txt | 2 +- .../pine/backend/collections/index.rst.txt | 8 + .../autoapi/pine/backend/index.rst.txt | 1 + .../backend/job_manager/service/index.rst.txt | 63 +- .../pine/backend/pipelines/bp/index.rst.txt | 80 +- .../autoapi/pine/client/client/index.rst.txt | 154 + .../autoapi/pine/client/index.rst.txt | 154 + .../pine/pipelines/EveClient/index.rst.txt | 29 +- .../pine/pipelines/NER_API/index.rst.txt | 23 +- .../pipelines/RankingFunctions/index.rst.txt | 21 +- .../listener/service_listener/index.rst.txt | 46 +- .../corenlp_NER_pipeline/index.rst.txt | 23 +- .../opennlp_NER_pipeline/index.rst.txt | 22 +- .../pine/pipelines/pipeline/index.rst.txt | 56 +- .../pine/pipelines/pmap_ner/index.rst.txt | 15 +- .../pipelines/shared/config/index.rst.txt | 5 + .../spacy_NER_pipeline/index.rst.txt | 31 +- docs/build/html/autoapi/index.html | 4 + .../pine/backend/annotations/bp/index.html | 10 +- .../autoapi/pine/backend/api/bp/index.html | 198 + .../html/autoapi/pine/backend/api/index.html | 139 + .../html/autoapi/pine/backend/auth/index.html | 10 +- .../pine/backend/collections/bp/index.html | 4 +- .../pine/backend/collections/index.html | 12 + .../pine/backend/data/service/index.html | 22 +- .../html/autoapi/pine/backend/index.html | 4 + .../backend/job_manager/service/index.html | 82 +- .../pine/backend/pipelines/bp/index.html | 190 +- .../autoapi/pine/client/client/index.html | 336 +- .../autoapi/pine/client/exceptions/index.html | 8 +- .../build/html/autoapi/pine/client/index.html | 266 + docs/build/html/autoapi/pine/index.html | 4 + .../pine/pipelines/EveClient/index.html | 49 +- .../autoapi/pine/pipelines/NER_API/index.html | 34 +- .../pipelines/RankingFunctions/index.html | 38 +- .../app/listener/service_listener/index.html | 61 +- .../pipelines/corenlp_NER_pipeline/index.html | 30 +- .../pipelines/opennlp_NER_pipeline/index.html | 32 +- .../pine/pipelines/pipeline/index.html | 96 +- .../pine/pipelines/pmap_ner/index.html | 20 +- .../pine/pipelines/shared/config/index.html | 6 + .../pipelines/spacy_NER_pipeline/index.html | 40 +- docs/build/html/genindex.html | 288 +- docs/build/html/objects.inv | Bin 7982 -> 8626 bytes docs/build/html/py-modindex.html | 10 + docs/build/html/searchindex.js | 2 +- docs/build/latex/pine.pdf | Bin 433319 -> 472516 bytes docs/build/latex/pine.tex | 1646 ++++++- docs/build/singlehtml/index.html | 1285 ++++- docs/build/singlehtml/objects.inv | Bin 8072 -> 8728 bytes .../nginx/nlp-web-app.http.mustache | 1 + .../nginx/nlp-web-app.https.mustache | 2 + .../app/service/metrics/metrics.service.ts | 7 +- pipelines/Pipfile | 2 + pipelines/Pipfile.lock | 203 +- pipelines/pine/pipelines/EveClient.py | 22 +- pipelines/pine/pipelines/NERWrapper.py | 2 + pipelines/pine/pipelines/NER_API.py | 94 +- pipelines/pine/pipelines/RankingFunctions.py | 371 +- .../app/listener/service_listener.py | 192 +- .../pine/pipelines/corenlp_NER_pipeline.py | 197 +- .../pine/pipelines/opennlp_NER_pipeline.py | 265 +- pipelines/pine/pipelines/pipeline.py | 71 +- pipelines/pine/pipelines/pmap_ner.py | 49 +- pipelines/pine/pipelines/shared/config.py | 7 +- .../pine/pipelines/spacy_NER_pipeline.py | 161 +- run_docker_compose.sh | 2 +- test/Pipfile | 1 + test/Pipfile.lock | 577 ++- test/data/collections.json | 60 + test/docker/pytest/docker_run.sh | 2 +- test/tests/pytest/02_collections_test.py | 44 + test/tests/pytest/04_pipelines_test.py | 226 + test/tests/pytest/common.py | 28 +- update_openapi.sh | 32 + 141 files changed, 15439 insertions(+), 1549 deletions(-) create mode 100644 backend/pine/backend/admin/openapi.yaml create mode 100644 backend/pine/backend/annotations/openapi.yaml create mode 100644 backend/pine/backend/api/.gitignore create mode 100644 backend/pine/backend/api/__init__.py create mode 100644 backend/pine/backend/api/base.yaml create mode 100644 backend/pine/backend/api/bp.py create mode 100644 backend/pine/backend/api/components.yaml create mode 100755 backend/pine/backend/api/download_swagger_ui.sh create mode 100644 backend/pine/backend/api/openapi.yaml create mode 100644 backend/pine/backend/api/swagger-ui/VERSION create mode 100644 backend/pine/backend/api/swagger-ui/favicon-16x16.png create mode 100644 backend/pine/backend/api/swagger-ui/favicon-32x32.png create mode 100644 backend/pine/backend/api/swagger-ui/index.html create mode 100644 backend/pine/backend/api/swagger-ui/oauth2-redirect.html create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui-bundle.js create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui-bundle.js.map create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui-es-bundle-core.js create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui-es-bundle-core.js.map create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui-es-bundle.js create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui-es-bundle.js.map create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui-standalone-preset.js create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui-standalone-preset.js.map create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui.css create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui.css.map create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui.js create mode 100644 backend/pine/backend/api/swagger-ui/swagger-ui.js.map create mode 100644 backend/pine/backend/auth/openapi.yaml create mode 100644 backend/pine/backend/collections/openapi.yaml create mode 100644 backend/pine/backend/documents/openapi.yaml create mode 100644 backend/pine/backend/pineiaa/openapi.yaml create mode 100644 backend/pine/backend/pipelines/openapi.yaml create mode 100644 docs/build/doctrees/autoapi/pine/backend/api/bp/index.doctree create mode 100644 docs/build/doctrees/autoapi/pine/backend/api/index.doctree create mode 100644 docs/build/html/_sources/autoapi/pine/backend/api/bp/index.rst.txt create mode 100644 docs/build/html/_sources/autoapi/pine/backend/api/index.rst.txt create mode 100644 docs/build/html/autoapi/pine/backend/api/bp/index.html create mode 100644 docs/build/html/autoapi/pine/backend/api/index.html create mode 100644 test/tests/pytest/04_pipelines_test.py create mode 100755 update_openapi.sh diff --git a/.gitignore b/.gitignore index 02c0b30..e94cbe7 100644 --- a/.gitignore +++ b/.gitignore @@ -11,6 +11,7 @@ # Python **/__pycache__ +**/.pytest_cache # Logs backend/pine/backend/logs diff --git a/README.md b/README.md index f5be26d..84e3e0f 100644 --- a/README.md +++ b/README.md @@ -150,6 +150,20 @@ Once the dev stack is up and running, the following ports are accessible: 2. `./generate_documentation.sh` 3. Generated documentation can then be found in `./docs/build`. +### Backend OpenAPI Specification + +The backend API is documented using an [OpenAPI specification](https://swagger.io/specification/). +This specification covers the main REST API used by PINE. A copy of the +[Swagger UI](https://swagger.io/tools/swagger-ui/) is hosted at `http[s]:///api/ui` and +the specification itself is hosted at `http[s]:///api/openapi.yaml`. + +This specification is found in the source code at `backend/pine/backend/api/openapi.yaml`. +*NOTE* however that this file is autogenerated by the `./update_openapi.sh` script. The "base" +file is located at `backend/pine/backend/api/base.yaml` which then pulls in information from other +files. ALL changes to the backend API should result in updates to the specification, as it is *NOT* +automatically updated or generated based on code changes. The `./update_openapi.sh` script requires +Docker to run and standard Linux tools (find, grep, awk, sort) but no other dependencies. + ### Testing Data To import testing data, run the dev stack and then run: diff --git a/backend/pine/backend/admin/bp.py b/backend/pine/backend/admin/bp.py index 662ecd7..cc0d596 100644 --- a/backend/pine/backend/admin/bp.py +++ b/backend/pine/backend/admin/bp.py @@ -1,6 +1,6 @@ # (C) 2019 The Johns Hopkins University Applied Physics Laboratory LLC. -from flask import Blueprint, jsonify, request, Response +from flask import Blueprint, jsonify, request import requests from werkzeug import exceptions @@ -29,7 +29,7 @@ def get_user(user_id): """ return jsonify(users.get_user(user_id)) -@bp.route("/users//password", methods = ["POST", "PUT", "PATCH"]) +@bp.route("/users//password", methods = ["PUT"]) @auth.admin_required def update_user_password(user_id): """ @@ -48,7 +48,7 @@ def update_user_password(user_id): resp = service.put("users/" + user_id, json = user, headers = {"If-Match": etag}) return service.convert_response(resp) -@bp.route("/users/", methods = ["PUT", "PATCH"]) +@bp.route("/users/", methods = ["PUT"]) @auth.admin_required def update_user(user_id): """ @@ -98,7 +98,13 @@ def add_user(): body["_id"] = body["id"] del body["id"] - if body["description"] == None: + + # check other fields as required by eve schema + if not "firstname" in body or not body["firstname"] or "lastname" not in body or not body["lastname"]: + raise exceptions.BadRequest(description = "Missing firstname or lastname in body JSON data.") + if not "roles" in body or not body["roles"]: + raise exceptions.BadRequest(description = "Missing/empty roles in body JSON data.") + if "description" in body and body["description"] == None: del body["description"] # post to data server diff --git a/backend/pine/backend/admin/openapi.yaml b/backend/pine/backend/admin/openapi.yaml new file mode 100644 index 0000000..ef986c5 --- /dev/null +++ b/backend/pine/backend/admin/openapi.yaml @@ -0,0 +1,361 @@ +# (C) 2021 The Johns Hopkins University Applied Physics Laboratory LLC. + +openapi: "3.0.2" + +security: + - cookieAuth: [] + +tags: + - name: admin + description: > + Operations in the "admin" blueprint. These operations are generally only available when the + "eve" auth module is running and are only accessible to logged-in users that are + administrators. + +components: + + schemas: + + UserRoles: + description: The role (for permissions) of the user. + type: array + items: + type: string + enum: [administrator, user] + + NewUserData: + type: object + properties: + id: + type: string + email: + type: string + passwd: + type: string + description: + type: string + firstname: + type: string + lastname: + type: string + role: + $ref: "#/components/schemas/UserRoles" + required: + - id + - email + - passwd + - firstname + - lastname + - roles + + UpdateUserData: + type: object + properties: + _id: + type: string + _etag: + type: string + description: + type: string + firstname: + type: string + lastname: + type: string + email: + type: string + description: If this is not included, you wont be able to log in. + passwdhash: + type: string + description: Setting this manually might break the password. + role: + $ref: "#/components/schemas/UserRoles" + required: + - _id + - _etag + - firstname + - lastname + - passwdhash + - role + +paths: + + /admin/users: + get: + summary: Get All User Information + description: | + Get a list of all users (and details: id, email, password hash). + + Example: `curl -X GET http://localhost:5000/admin/users --cookie admin.cookie` + + _Note_: this endpoint requires the logged in user to be an admin and is only relevant if + the auth module supports it. + operationId: admin_get_users + tags: [admin] + responses: + "200": + description: Returned list of user details. + content: + application/json: + schema: + type: array + items: + $ref: "../api/components.yaml#/schemas/UserInfo" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorizedOrNotAdmin" + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + post: + summary: Create New User + description: | + Create a new user. + + Example: `curl -X Post http://localhost:5000/admin/users -d '{"id":"joe", "passwd":"mypass", "email":"joe@pine.jhuapl.edu", "description": "", "firstname":"joe", "lastname":"jones"}' -H "Content-type:application/json" --cookie admin.cookie` + + _Note_: this endpoint requires the logged in user to be an admin and is only relevant if + the auth module supports it. + operationId: admin_add_user + tags: [admin] + requestBody: + content: + application/json: + schema: + $ref: "#/components/schemas/NewUserData" + responses: + "200": + description: Return id info of newly created user. + content: + application/json: + schema: + type: array + items: + $ref: "../api/components.yaml#/schemas/IDInfo" + "400": + $ref: "../api/components.yaml#/responses/InvalidInputParameters" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorizedOrNotAdmin" + "409": + description: User with that ID/email already exists. + content: {application/json: {schema: {$ref: "../api/components.yaml#/schemas/ErrorResponse"}}} + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + /admin/users/{user_id}: + get: + summary: Get User Details + description: | + Get details (id, email, password hash...) of a certain user. + + Example: `curl -X GET http://localhost:5000/admin/users/ada --cookie admin.cookie` + + _Note_: this endpoint requires the logged in user to be an admin and is only relevant if + the auth module supports it. + operationId: admin_get_user + tags: [admin] + parameters: + - $ref: "../api/components.yaml#/parameters/userIdParam" + responses: + "200": + description: Successfully found the user and returned their details. + content: + application/json: + schema: + $ref: "../api/components.yaml#/schemas/UserInfo" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorizedOrNotAdmin" + "404": + description: No user found with that ID. + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + put: + summary: Update user details. + description: | + Update user details. + + Example: `curl -X PUT http://localhost:5000/admin/users/ada -d '{"_id":"ada","description":"newdesc", "firstname":"newada", "lastname":"adalast", "_etag":"1c12354ee74f5d5732231ac5034f7915fb167244", "email":"ada@pine.jhuapl.edu"}' -H "Content-type:application/json" --cookie admin.cookie` + + _Note_: this endpoint requires the logged in user to be an admin and is only relevant if + the auth module supports it. + operationId: admin_update_user + tags: [admin] + parameters: + - $ref: "../api/components.yaml#/parameters/userIdParam" + requestBody: + content: + application/json: + schema: + $ref: "#/components/schemas/UpdateUserData" + responses: + "200": + description: Successfully changed user information + content: + application/json: + schema: + $ref: "../api/components.yaml#/schemas/IDInfo" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorizedOrNotAdmin" + "404": + description: No user found with that ID. + "412": + $ref: "../api/components.yaml#/responses/MismatchedEtag" + "422": + $ref: "../api/components.yaml#/responses/InvalidInputParameters" + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + delete: + summary: Delete User + description: | + Delete a user. + + _Note_: this endpoint requires the logged in user to be an admin and is only relevant if + the auth module supports it. + operationId: admin_delete_user + tags: [admin] + parameters: + - $ref: "../api/components.yaml#/parameters/userIdParam" + responses: + "204": + description: Successfully deleted user. + "401": + $ref: "../api/components.yaml#/responses/NotAuthorizedOrNotAdmin" + "404": + description: No user found with that ID. + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + /admin/users/{user_id}/password: + put: + summary: Update User Password + description: | + Update the password of a user. + + Example: `curl -X post http://localhost:5000/admin/users/ada/password -d '{"passwd":"newpass"}' -H "Content-type:application/json" --cookie admin.cookie` + + _Note_: this endpoint requires the logged in user to be an admin and is only relevant if + the auth module supports it. + operationId: admin_update_user_password + tags: [admin] + parameters: + - $ref: "../api/components.yaml#/parameters/userIdParam" + requestBody: + content: + application/json: + schema: + type: object + properties: + passwd: + type: string + required: + - passwd + responses: + "200": + description: "Successfully changed user password" + content: + application/json: + schema: + $ref: "../api/components.yaml#/schemas/IDInfo" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorizedOrNotAdmin" + "404": + description: No user found with that ID. + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + /admin/system/export: + get: + summary: Export Database + description: | + Export the database to a zip file. + + Example: `curl -X GET http://localhost:5000/admin/system/export --cookie admin.cookie -v --output out.zip` + + _Note_: this endpoint requires the logged in user to be an admin and is only relevant if + the auth module supports it. + operationId: admin_system_export + tags: [admin] + responses: + "200": + description: "Successfully exported database" + content: + application/gzip: {} + "401": + $ref: "../api/components.yaml#/responses/NotAuthorizedOrNotAdmin" + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + /admin/system/import: + put: + summary: Import Database (Update) + description: | + Import the database given in request body. This will _update_ and not _replace_ the + database. + + Example: `curl -X PUT http://localhost:5000/admin/system/import --cookie admin.cookie -F "file=@/home/pine/out.zip"` + + _Note_: this endpoint requires the logged in user to be an admin and is only relevant if + the auth module supports it. + operationId: admin_system_import_put + tags: [admin] + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + file: + type: string + format: binary + required: + - file + responses: + "200": + $ref: "../api/components.yaml#/responses/Success" + "400": + description: The loading of data was wrong. Should be a gz, like what is exported. + content: {application/json: {schema: {$ref: "../api/components.yaml#/schemas/ErrorResponse"}}} + "401": + $ref: "../api/components.yaml#/responses/NotAuthorizedOrNotAdmin" + "422": + description: The file argument was not present. + content: {application/json: {schema: {$ref: "../api/components.yaml#/schemas/ErrorResponse"}}} + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + post: + summary: Import Database (Replace) + description: | + Import the database given in request body. This will _replace_ and not _update_ the + database. + + Example: `curl -X POST http://localhost:5000/admin/system/import --cookie admin.cookie -F "file=@/home/pine/out.zip"` + + _Note_: this endpoint requires the logged in user to be an admin and is only relevant if + the auth module supports it. + operationId: admin_system_import_post + tags: [admin] + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + file: + type: string + format: binary + required: + - file + responses: + "200": + $ref: "../api/components.yaml#/responses/Success" + "400": + description: The loading of data was wrong. Should be a gz, like what is exported. + content: {application/json: {schema: {$ref: "../api/components.yaml#/schemas/ErrorResponse"}}} + "401": + $ref: "../api/components.yaml#/responses/NotAuthorizedOrNotAdmin" + "422": + description: The file argument was not present. + content: {application/json: {schema: {$ref: "../api/components.yaml#/schemas/ErrorResponse"}}} + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" diff --git a/backend/pine/backend/annotations/bp.py b/backend/pine/backend/annotations/bp.py index c9cf820..950bff6 100644 --- a/backend/pine/backend/annotations/bp.py +++ b/backend/pine/backend/annotations/bp.py @@ -204,7 +204,7 @@ def _add_or_update_annotation(new_annotation): return new_annotation["_id"] -@bp.route("/mine/by_document_id/", methods = ["POST", "PUT"]) +@bp.route("/mine/by_document_id/", methods = ["POST"]) def save_annotations(doc_id): """ Save new NER annotations and labels to the database as an entry for the logged in user, for the document. If there @@ -254,7 +254,7 @@ def save_annotations(doc_id): return jsonify(resp) -@bp.route("/mine/by_collection_id/", methods = ["POST", "PUT"]) +@bp.route("/mine/by_collection_id/", methods = ["POST"]) def save_collection_annotations(collection_id: str): # If you change input or output, update client modules pine.client.models and pine.client.client collection = service.get_item_by_id("collections", collection_id, params=service.params({ @@ -277,6 +277,9 @@ def save_collection_annotations(collection_id: str): skip_document_updates = json.loads(request.args.get("skip_document_updates", "false")) update_iaa = json.loads(request.args.get("update_iaa", "true")) + # Batch mode should only be used when all documents being annotated haven't been + # annotated before, otherwise eve's versioning will be messed up. + batch_mode = json.loads(request.args.get("batch_mode", "true")) # make sure all the documents actually belong to that collection collection_ids = list(documents.get_collection_ids_for(doc_annotations.keys())) @@ -284,7 +287,6 @@ def save_collection_annotations(collection_id: str): raise exceptions.Unauthorized() user_id = auth.get_logged_in_user()["id"] - # first try batch mode new_annotations = [] for (doc_id, body) in doc_annotations.items(): (doc_labels, ner_annotations) = _make_annotations(body) @@ -295,24 +297,35 @@ def save_collection_annotations(collection_id: str): "document_id": doc_id, "annotation": doc_labels + ner_annotations }) - resp = service.post("annotations", json=new_annotations) - if resp.ok: - for (i, created_annotation) in enumerate(resp.json()["_items"]): - new_annotations[i]["_id"] = created_annotation["_id"] - if not skip_document_updates: - set_document_to_annotated_by_user(new_annotations[i]["document_id"], - new_annotations[i]["creator_id"]) - log.access_flask_annotate_documents(new_annotations) - if update_iaa: - success = pineiaa.update_iaa_report_by_collection_id(collection_id) - if not success: - logger.error("Unable to update IAA report but will not return an error") - return jsonify([annotation["_id"] for annotation in new_annotations]) + + if batch_mode: + # first try batch mode (should only be done if the document doesn't have annotations already) + resp = service.post("annotations", json=new_annotations) + if resp.ok: + resp_json = resp.json() + # Changing a single document will not have _items + if "_items" in resp_json: + for (i, created_annotation) in enumerate(resp_json["_items"]): + new_annotations[i]["_id"] = created_annotation["_id"] + if not skip_document_updates: + set_document_to_annotated_by_user(new_annotations[i]["document_id"], + new_annotations[i]["creator_id"]) + else: + new_annotations[0]["_id"] = resp_json["_id"] + if not skip_document_updates: + set_document_to_annotated_by_user(new_annotations[0]["document_id"], + new_annotations[0]["creator_id"]) + log.access_flask_annotate_documents(new_annotations) + if update_iaa: + success = pineiaa.update_iaa_report_by_collection_id(collection_id) + if not success: + logger.error("Unable to update IAA report but will not return an error") + return jsonify([annotation["_id"] for annotation in new_annotations]) # fall back on individual mode added_ids = [] for annotation in new_annotations: - added_id = _add_or_update_annotation(annotation["document_id"], user_id, annotation) + added_id = _add_or_update_annotation(annotation) if added_id: added_ids.append(added_id) if update_iaa: diff --git a/backend/pine/backend/annotations/openapi.yaml b/backend/pine/backend/annotations/openapi.yaml new file mode 100644 index 0000000..f2eb309 --- /dev/null +++ b/backend/pine/backend/annotations/openapi.yaml @@ -0,0 +1,211 @@ +# (C) 2021 The Johns Hopkins University Applied Physics Laboratory LLC. + +openapi: "3.0.2" + +security: + - cookieAuth: [] + +tags: + - name: annotations + description: Operations in the "annotations" blueprint. + +components: + + schemas: + + WrappedAnnotations: + type: object + properties: + _items: + type: array + items: + $ref: "../api/components.yaml#/schemas/UserDocumentAnnotation" + _links: + $ref: "../api/components.yaml#/schemas/EveLinks" + +paths: + + /annotations/mine/by_document_id/{doc_id}: + get: + summary: Get My Document Annotations + description: | + Get a list of annotations done by the logged in user on a document. + + Example: `curl -X GET http://localhost:5000/annotations/mine/by_document_id/60d08052f2cb44c51e0af0f1 --cookie session.cookie` + operationId: annotations_get_mine + tags: [annotations] + parameters: + - $ref: "../api/components.yaml#/parameters/docIdParam" + responses: + "200": + description: Successfully found document and got annotations. + content: + application/json: + schema: + $ref: "#/components/schemas/WrappedAnnotations" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorized" + "404": + $ref: "../api/components.yaml#/responses/DocumentNotFound" + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + post: + summary: Save My Annotations + description: | + Change annotations of a document. + + Example: `curl -X PUT http://localhost:5000/annotations/mine/by_document_id/60d08052f2cb44c51e0af0f1 --cookie session.cookie -H "Content-type: application/json" -d '{"doc":["sci.crypt", "talk.politics.misc"],"ner":[{"end":365,"start":346, "label":"sci.med"}, {"start":475, "end":530, "label":"alt.atheism"}]}'` + + _Note_: start or end indices in the middle of words might make the UI not show the label. + Also, invalid labels are not checked and might cause the UI to freeze. + operationId: annotations_save_mine + tags: [annotations] + parameters: + - $ref: "../api/components.yaml#/parameters/docIdParam" + - name: update_iaa + in: query + required: false + description: Whether to also update IAA reports. + schema: + type: boolean + default: true + requestBody: + description: The labels to add to the document. + required: true + content: + application/json: + schema: + $ref: "../api/components.yaml#/schemas/DocumentAnnotations" + responses: + "200": + description: Successfully found document and changed annotations (returns doc_id). + content: + application/json: + schema: + type: string + "400": + $ref: "../api/components.yaml#/responses/InvalidInputParameters" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorized" + "404": + $ref: "../api/components.yaml#/responses/DocumentNotFound" + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + /annotations/mine/by_collection_id/{collection_id}: + post: + summary: Set Collection Annotations + description: | + Modify annotations of certain documents in a given collection. + + Example: `curl -X POST http://localhost:5000/annotations/mine/by_collection_id/60d32ba28d34cf656fed503f --cookie session.cookie -H "Content-type: application/json" -d '{"60d32ba48d34cf656fed504b": {"doc":["sci.crypt", "talk.politics.misc"],"ner":[[0,4,"sci.med"], [0,4,"alt.atheism"]]}, "60d32ba48d34cf656fed504c": {"doc":[], "ner":[[0,4,"sci.med"]]}}'` + operationId: annotations_collection + tags: [annotations] + parameters: + - $ref: "../api/components.yaml#/parameters/collectionIdParam" + - name: batch_mode + required: true + description: | + Whether or not to send all annotations to the database as one batch or individually. + + _Note_: Batch mode should ONLY be used if all of the documents have not already been annotated. + + The versioning of eve will be messed up if batch mode annotates a document with pre-existing annotations (even if old). + + To be clear, even if a document had annotations that were deleted, using batch mode on that document will cause problems. + + Conversely, using individual mode (batch_mode = False) can always be done, but will be slower. + + Another issue with individual mode is with many documents, there will be many backend queries, possibly getting rate limited. + schema: + type: boolean + default: true + in: query + - name: update_iaa + in: query + required: false + description: Whether to also update IAA reports. + schema: + type: boolean + default: true + requestBody: + description: The labels to add to the document. + required: true + content: + application/json: + schema: + description: Mapping from document ID to annotations object. + type: object + additionalProperties: + $ref: "../api/components.yaml#/schemas/DocumentAnnotations" + example: + {"60d47b4bdbfddb3ca87c7971": {"doc": ["label1", "label2"], + "ner": [[0, 10, "label1"], [15, 18, "label2"]]}} + responses: + "200": + description: Successfully found document and changed annotations (returns annotation ids). + content: + application/json: + schema: + type: array + items: + type: string + "400": + $ref: "../api/components.yaml#/responses/InvalidInputParameters" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorized" + "404": + $ref: "../api/components.yaml#/responses/CollectionNotFound" + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + /annotations/others/by_document_id/{doc_id}: + get: + summary: Get Others' Document Annotations + description: | + Get a list of annotations done by everyone but me on a document. + + Example: `curl -X GET http://localhost:5000/annotations/others/by_document_id/60d08052f2cb44c51e0af0f1 --cookie session.cookie` + operationId: annotations_others + tags: [annotations] + parameters: + - $ref: "../api/components.yaml#/parameters/docIdParam" + responses: + "200": + description: Successfully found document and got annotations. + content: + application/json: + schema: + $ref: "#/components/schemas/WrappedAnnotations" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorized" + "404": + $ref: "../api/components.yaml#/responses/DocumentNotFound" + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" + + /annotations/by_document_id/{doc_id}: + get: + summary: Get All Document Annotations + description: | + Get a list of annotations done by everyone on a document. + + Example: `curl -X GET http://localhost:5000/annotations/by_document_id/60d08052f2cb44c51e0af0f1 --cookie session.cookie` + operationId: annotations_all + tags: [annotations] + parameters: + - $ref: "../api/components.yaml#/parameters/docIdParam" + responses: + "200": + description: Successfully found document and got annotations. + content: + application/json: + schema: + $ref: "#/components/schemas/WrappedAnnotations" + "401": + $ref: "../api/components.yaml#/responses/NotAuthorized" + "404": + $ref: "../api/components.yaml#/responses/DocumentNotFound" + default: + $ref: "../api/components.yaml#/responses/UnexpectedServerError" diff --git a/backend/pine/backend/api/.gitignore b/backend/pine/backend/api/.gitignore new file mode 100644 index 0000000..08677c1 --- /dev/null +++ b/backend/pine/backend/api/.gitignore @@ -0,0 +1,3 @@ +# (C) 2019 The Johns Hopkins University Applied Physics Laboratory LLC. + +*.tar.gz diff --git a/backend/pine/backend/api/__init__.py b/backend/pine/backend/api/__init__.py new file mode 100644 index 0000000..79dbc53 --- /dev/null +++ b/backend/pine/backend/api/__init__.py @@ -0,0 +1,4 @@ +# (C) 2019 The Johns Hopkins University Applied Physics Laboratory LLC. + +"""This module implements all methods required for SwaggerUI to run on the +backend of PINE.""" diff --git a/backend/pine/backend/api/base.yaml b/backend/pine/backend/api/base.yaml new file mode 100644 index 0000000..223187e --- /dev/null +++ b/backend/pine/backend/api/base.yaml @@ -0,0 +1,34 @@ +# (C) 2021 The Johns Hopkins University Applied Physics Laboratory LLC. + +openapi: "3.0.2" + +info: + title: "PINE" + description: | + PINE: Pmap Interface for Nlp Experimentation + + PINE is a Natural Language Processing (NLP) tool designed for integration with the + Precision Medicine Analytics Platform (PMAP), developed at the Johns Hopkins University Applied + Physics Laboratory (JHU/APL). + + PINE consists of a web UI along with backing services. + version: "1.0.1" + contact: + name: "Michael Harrity" + email: "Michael.Harrity@jhuapl.edu" + license: + name: "AGPL-3.0" + url: https://github.com/JHUAPL/PINE/blob/master/LICENSE + +servers: + - url: http://localhost:5000 + - url: https://localhost:8888/api + - url: https://dev-nlpannotator.pm.jh.edu/api + +paths: {} + +components: + securitySchemes: + cookieAuth: + $ref: "./components.yaml#/securitySchemes/cookieAuth" + schemas: {} diff --git a/backend/pine/backend/api/bp.py b/backend/pine/backend/api/bp.py new file mode 100644 index 0000000..a622c0d --- /dev/null +++ b/backend/pine/backend/api/bp.py @@ -0,0 +1,34 @@ +# (C) 2019 The Johns Hopkins University Applied Physics Laboratory LLC. + +import logging + +from flask import redirect, render_template, request, send_file, url_for, Blueprint + +bp = Blueprint("api", __name__, url_prefix = "/api", template_folder="swagger-ui") +LOGGER = logging.getLogger(__name__) + +# Return the openapi specification for SwaggerUI +@bp.route("/openapi.yaml", methods=["GET"]) +def openapi_spec(): + # Specify statically where the openapi file is, relative path + return send_file("api/openapi.yaml", mimetype='text/yaml', as_attachment=False) + +@bp.route("/ui", methods=["GET"], strict_slashes=False) +def swagger_ui_index(): + # forward to /api/ui/index.html, taking proxy prefix into account if set + url = request.headers.get("X-Forwarded-Prefix", "") + url_for("api.swagger_ui", file="index.html") + LOGGER.info("Redirecting to {}".format(url)) + return redirect(url) + +@bp.route("/ui/", methods=["GET"]) +def swagger_ui(file: str): + if file == "index.html": + # get url for /api/openapi.yaml, taking proxy prefix into account if set + url = request.headers.get("X-Forwarded-Prefix", "") + url_for("api.openapi_spec") + LOGGER.info("Grabbing spec from {}".format(url)) + return render_template("index.html", spec_url=url) + else: + return send_file("api/swagger-ui/{}".format(file)) + +def init_app(app): + app.register_blueprint(bp) diff --git a/backend/pine/backend/api/components.yaml b/backend/pine/backend/api/components.yaml new file mode 100644 index 0000000..f691da4 --- /dev/null +++ b/backend/pine/backend/api/components.yaml @@ -0,0 +1,611 @@ +# (C) 2021 The Johns Hopkins University Applied Physics Laboratory LLC. + +securitySchemes: + + cookieAuth: + description: | + This an example command to provision and print the session key using eve: + + `curl -X POST -H "Content-Type:application/json" -d '{"username":"ada@pine.jhuapl.edu","password":"ada@pine.jhuapl.edu"}' http://localhost:5000/auth/login --cookie-jar - --output /dev/null --silent | grep -o -P "session\s.+" | sed -e 's/session\s/session=/' -` + type: apiKey + in: cookie + name: session + +parameters: + + userIdParam: + name: user_id + in: path + required: true + description: ID of the user on which to operate. + schema: + type: string + + docIdParam: + name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: + type: string + + collectionIdParam: + name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: + type: string + + pipelineIdParam: + name: pipeline_id + in: path + required: true + description: The id of the pipeline on which to operate. + schema: + type: string + + classifierIdParam: + name: classifier_id + in: path + required: true + description: The id of the classifier on which to operate. + schema: + type: string + +schemas: + + DocumentAnnotations: + type: object + properties: + doc: + description: Document-level annotations. + type: array + items: + description: Annotation label. + type: string + ner: + description: NER annotations. + type: array + items: + type: object + properties: + start: + description: Start index, inclusive. + type: integer + end: + description: End index, exclusive. + type: integer + label: + description: Annotation label. + type: string + example: + doc: ["label1", "label2"] + ner: [{"start":0, "end":10, "label":"in-text-label"}] + + AuthUser: + type: object + properties: + display_name: + type: string + id: + type: string + is_admin: + type: boolean + username: + type: string + example: + display_name: Ada Lovelace + id: ada + is_admin: false + username: ada@pine.jhuapl.edu + + AuthUserDetails: + type: object + properties: + description: + type: string + first_name: + type: string + last_name: + type: string + example: + first_name: Ada + last_name: Lovelace + description: The first computer programmer. + + EveLinks: + type: object + properties: + parent: + type: object + properties: + title: + type: string + href: + type: string + self: + type: object + properties: + title: + type: string + href: + type: string + + EveBase: + type: object + properties: + _etag: + type: string + + EveBaseWithVersion: + allOf: + - $ref: "#/schemas/EveBase" + - type: object + properties: + _version: + type: integer + _latest_version: + type: integer + + Document: + type: object + properties: + _id: + type: string + creator_id: + type: string + collection_id: + type: string + overlap: + type: integer + format: int64 + metadata: + type: object + # This means accept any type for key/val + additionalProperties: {} + text: + type: string + has_annotated: + type: object + additionalProperties: + type: boolean + + DocumentDeletionResponse: + type: object + properties: + success: + type: boolean + description: Whether the operation was successful. + changed_objs: + type: object + description: What database objects were changed during operation. + properties: + next_instances: + type: object + properties: + updated: + description: IDs of next_instance objects that were updated. + type: array + items: + type: string + annotations: + type: object + properties: + deleted: + description: IDs of annotation objects that were deleted. + type: array + items: + type: string + documents: + type: object + properties: + deleted: + description: IDs of document objects that were deleted. + type: array + items: + type: string + + UserDocumentAnnotation: + description: > + This is the log of annotations by a specific user. A document might have 0, 1, or multiple of + these based on how many users annotated. + allOf: + - $ref: "#/schemas/EveBaseWithVersion" + - type: object + properties: + _id: + type: string + creator_id: + type: string + collection_id: + type: string + document_id: + type: string + annotation: + type: array + items: + anyOf: + - type: string + example: documentlabel + description: String for labels on the entire document. + - type: array + items: + anyOf: + - type: string + - type: integer + example: + [1, 2, "textlabel"] + description: Array for individual annotations [start_index, end_index, label] + + Collection: + type: object + properties: + _id: + type: string + creator_id: + type: string + metadata: + type: object + additionalProperties: {} + configuration: + type: object + additionalProperties: {} + labels: + type: array + items: + type: string + viewers: + type: array + items: + type: string + annotators: + type: array + items: + type: string + archived: + type: boolean + + CollectionDownload: + description: Collection download is Collection with a list of all docs inside (and no eve info) + type: object + properties: + _id: + type: string + creator_id: + type: string + metadata: + type: object + additionalProperties: {} + configuration: + type: object + additionalProperties: {} + labels: + type: array + items: + type: string + viewers: + type: array + items: + type: string + annotators: + type: array + items: + type: string + archived: + type: boolean + documents: + type: array + items: + $ref: '#/components/schemas/Document' + + UserPermissions: + type: object + properties: + add_documents: + type: boolean + add_images: + type: boolean + annotate: + type: boolean + archive: + type: boolean + download_data: + type: boolean + modify_document_metadata: + type: boolean + modify_labels: + type: boolean + modify_users: + type: boolean + view: + type: boolean + + UserInfo: + type: object + properties: + _id: + type: string + _created: + type: string + description: + type: string + email: + type: string + firstname: + type: string + lastname: + type: string + passwdhash: + type: string + role: + type: array + items: + type: string + + IDInfo: + description: > + This object is returned when doing actions like modifying a document or collection. It + contains the ID of the object and some other information from the database. + allOf: + - $ref: "#/schemas/EveBase" + - type: object + properties: + _status: + type: string + _id: + type: string + _updated: + type: string + format: date-time + _created: + type: string + format: date-time + _links: + $ref: "#/schemas/EveLinks" + + ErrorResponse: + description: Error message from the server. + type: string + example: Error message from the server. + + Pipeline: + allOf: + - $ref: "#/schemas/EveBase" + - type: object + properties: + _id: + type: string + title: + type: string + description: + type: string + name: + type: string + parameters: + type: object + additionalProperties: {} + example: + cutoff: "integer" + iterations: " integer" + n_iter: "integer" + dropout: "float" + max_left: "integer" + use_class_feature: [true, false] + use_word: [true, false] + use_ngrams: [true, false] + no_mid_ngrams: [true, false] + max_ngram_length: "integer" + use_prev: [true, false] + use_next: [true, false] + use_disjunctive: [true, false] + use_sequences: [true, false] + use_prev_sequences: [true, false] + use_type_seqs: [true, false] + use_type_seqs2: [true, false] + use_type_y_sequences: [true, false] + _updated: + type: string + format: date-time + _created: + type: string + format: date-time + + CollectionMetric: + type: object + properties: + _id: + type: string + collection_id: + type: string + classifier_id: + type: string + # Not positive what elements can be in these array so leaving blank + documents: + type: array + items: {} + annotations: + type: array + items: {} + folds: + type: array + items: {} + metrics: + type: array + items: {} + _updated: + type: string + _created: + type: string + _version: + type: integer + _etag: + type: string + _links: + type: object + properties: + self: + type: object + properties: + title: + type: string + href: + type: string + + InterAnnotatorAgreement: + allOf: + - $ref: "#/schemas/EveBaseWithVersion" + - type: object + properties: + _id: + type: string + collection_id: + type: string + num_of_annotators: + type: integer + num_of_agreement_docs: + type: integer + num_of_labels: + type: integer + per_doc_agreement: + type: object + properties: + doc_id: + type: string + avg: + type: number + format: double + stddev: + type: integer + per_label_agreement: + type: array + items: + type: object + properties: + label: + type: string + avg: + type: number + format: double + stddev: + type: integer + overall_agreement: + type: object + properties: + mean: + type: number + format: double + sd: + type: integer + heatmap_data: + type: object + properties: + matrix: + type: array + items: + type: array + items: + type: number + format: float + minItems: 2 + maxItems: 2 + example: + [1, .666666] + annotators: + type: array + items: + type: string + example: + ["ada", "margaret"] + labels_per_annotator: + # Dictionary of dictionaries per annotator + type: object + additionalProperties: + # Dictionary of number of each label + type: object + additionalProperties: + type: integer + example: + {"ada": {"label1": 1, "label2": 4}, "margaret": {"label1": 3, "label2": 2}} + _updated: + type: string + format: date-time + _created: + type: string + format: date-time + +responses: + + Success: + description: Whether the operation succeeded or failed. + content: + application/json: + schema: + type: object + properties: + success: + type: boolean + + NotAuthorized: + description: > + Authentication failed: not logged in or user doesn't have the permissions for this operation. + content: + application/json: + schema: + $ref: "#/schemas/ErrorResponse" + + NotAuthorizedOrNotAdmin: + description: Authentication failed, not logged in or not an admin. + content: + application/json: + schema: + $ref: "#/schemas/ErrorResponse" + + InvalidInputParameters: + description: Input parameters are missing/invalid. + content: + application/json: + schema: + $ref: "#/schemas/ErrorResponse" + + DocumentNotFound: + description: Document with given ID was not found. + content: + application/json: + schema: + $ref: "#/schemas/ErrorResponse" + + CollectionNotFound: + description: Collection with given ID was not found. + content: + application/json: + schema: + $ref: "#/schemas/ErrorResponse" + + PipelineNotFound: + description: Pipeline with given ID was not found. + content: + application/json: + schema: + $ref: "#/schemas/ErrorResponse" + + ClassifierNotFound: + description: Classifier with given ID was not found. + content: + application/json: + schema: + $ref: "#/schemas/ErrorResponse" + + MismatchedEtag: + description: Given etag did not match the most updated stored one. + content: + application/json: + schema: + $ref: "#/schemas/ErrorResponse" + + UnexpectedServerError: + description: Unexpected error, check server logs. + content: + application/json: + schema: + $ref: "#/schemas/ErrorResponse" diff --git a/backend/pine/backend/api/download_swagger_ui.sh b/backend/pine/backend/api/download_swagger_ui.sh new file mode 100755 index 0000000..4258aec --- /dev/null +++ b/backend/pine/backend/api/download_swagger_ui.sh @@ -0,0 +1,22 @@ +#!/bin/bash +# (C) 2019 The Johns Hopkins University Applied Physics Laboratory LLC. + +set -ex + +if [[ $# -eq 0 ]]; then + VERSION=$(curl --silent "https://api.github.com/repos/swagger-api/swagger-ui/releases/latest" | grep '"tag_name":' | sed -E 's/.*"([^"]+)".*/\1/') + if [[ ${VERSION} = v* ]]; then + VERSION=${VERSION:1} + fi +else + VERSION="$1" +fi + +if [[ ! -f swagger-ui-${VERSION}.tar.gz ]]; then + wget "https://github.com/swagger-api/swagger-ui/archive/refs/tags/v${VERSION}.tar.gz" -O swagger-ui-${VERSION}.tar.gz +fi + +rm -rf swagger-ui/ +tar xzf swagger-ui-${VERSION}.tar.gz swagger-ui-${VERSION}/dist/ --transform "s|swagger-ui-${VERSION}/dist|swagger-ui|" +sed -i 's|https://petstore.swagger.io/v2/swagger.json|{{spec_url}}|' swagger-ui/index.html +echo ${VERSION} > swagger-ui/VERSION diff --git a/backend/pine/backend/api/openapi.yaml b/backend/pine/backend/api/openapi.yaml new file mode 100644 index 0000000..eb15cdc --- /dev/null +++ b/backend/pine/backend/api/openapi.yaml @@ -0,0 +1,4325 @@ +# (C) 2021 The Johns Hopkins University Applied Physics Laboratory LLC. + +openapi: 3.0.2 +info: + title: PINE + description: > + PINE: Pmap Interface for Nlp Experimentation + + + PINE is a Natural Language Processing (NLP) tool designed for integration + with the + + Precision Medicine Analytics Platform (PMAP), developed at the Johns Hopkins + University Applied + + Physics Laboratory (JHU/APL). + + + PINE consists of a web UI along with backing services. + version: 1.0.1 + contact: + name: Michael Harrity + email: Michael.Harrity@jhuapl.edu + license: + name: AGPL-3.0 + url: 'https://github.com/JHUAPL/PINE/blob/master/LICENSE' +servers: + - url: 'http://localhost:5000' + - url: 'https://localhost:8888/api' + - url: 'https://dev-nlpannotator.pm.jh.edu/api' +paths: + /admin/users: + get: + summary: Get All User Information + description: > + Get a list of all users (and details: id, email, password hash). + + + Example: `curl -X GET http://localhost:5000/admin/users --cookie + admin.cookie` + + + _Note_: this endpoint requires the logged in user to be an admin and is + only relevant if + + the auth module supports it. + operationId: admin_get_users + tags: + - admin + responses: + '200': + description: Returned list of user details. + content: + application/json: + schema: + type: array + items: + type: object + properties: &ref_2 + _id: + type: string + _created: + type: string + description: + type: string + email: + type: string + firstname: + type: string + lastname: + type: string + passwdhash: + type: string + role: + type: array + items: + type: string + '401': + description: 'Authentication failed, not logged in or not an admin.' + content: &ref_0 + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + default: + description: 'Unexpected error, check server logs.' + content: &ref_1 + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + security: + - cookieAuth: [] + post: + summary: Create New User + description: > + Create a new user. + + + Example: `curl -X Post http://localhost:5000/admin/users -d + '{"id":"joe", "passwd":"mypass", "email":"joe@pine.jhuapl.edu", + "description": "", "firstname":"joe", "lastname":"jones"}' -H + "Content-type:application/json" --cookie admin.cookie` + + + _Note_: this endpoint requires the logged in user to be an admin and is + only relevant if + + the auth module supports it. + operationId: admin_add_user + tags: + - admin + requestBody: + content: + application/json: + schema: + type: object + properties: &ref_40 + id: + type: string + email: + type: string + passwd: + type: string + description: + type: string + firstname: + type: string + lastname: + type: string + role: + description: The role (for permissions) of the user. + type: array + items: &ref_4 + type: string + enum: + - administrator + - user + required: &ref_41 + - id + - email + - passwd + - firstname + - lastname + - roles + responses: + '200': + description: Return id info of newly created user. + content: + application/json: + schema: + type: array + items: + description: > + This object is returned when doing actions like modifying a + document or collection. It contains the ID of the object + and some other information from the database. + allOf: &ref_5 + - type: object + properties: &ref_8 + _etag: + type: string + - type: object + properties: + _status: + type: string + _id: + type: string + _updated: + type: string + format: date-time + _created: + type: string + format: date-time + _links: + type: object + properties: &ref_9 + parent: + type: object + properties: + title: + type: string + href: + type: string + self: + type: object + properties: + title: + type: string + href: + type: string + '400': + description: Input parameters are missing/invalid. + content: &ref_6 + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '401': + description: 'Authentication failed, not logged in or not an admin.' + content: *ref_0 + '409': + description: User with that ID/email already exists. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/admin/users/{user_id}': + get: + summary: Get User Details + description: > + Get details (id, email, password hash...) of a certain user. + + + Example: `curl -X GET http://localhost:5000/admin/users/ada --cookie + admin.cookie` + + + _Note_: this endpoint requires the logged in user to be an admin and is + only relevant if + + the auth module supports it. + operationId: admin_get_user + tags: + - admin + parameters: + - name: user_id + in: path + required: true + description: ID of the user on which to operate. + schema: &ref_3 + type: string + responses: + '200': + description: Successfully found the user and returned their details. + content: + application/json: + schema: + type: object + properties: *ref_2 + '401': + description: 'Authentication failed, not logged in or not an admin.' + content: *ref_0 + '404': + description: No user found with that ID. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + put: + summary: Update user details. + description: > + Update user details. + + + Example: `curl -X PUT http://localhost:5000/admin/users/ada -d + '{"_id":"ada","description":"newdesc", "firstname":"newada", + "lastname":"adalast", + "_etag":"1c12354ee74f5d5732231ac5034f7915fb167244", + "email":"ada@pine.jhuapl.edu"}' -H "Content-type:application/json" + --cookie admin.cookie` + + + _Note_: this endpoint requires the logged in user to be an admin and is + only relevant if + + the auth module supports it. + operationId: admin_update_user + tags: + - admin + parameters: + - name: user_id + in: path + required: true + description: ID of the user on which to operate. + schema: *ref_3 + requestBody: + content: + application/json: + schema: + type: object + properties: &ref_42 + _id: + type: string + _etag: + type: string + description: + type: string + firstname: + type: string + lastname: + type: string + email: + type: string + description: 'If this is not included, you wont be able to log in.' + passwdhash: + type: string + description: Setting this manually might break the password. + role: + description: The role (for permissions) of the user. + type: array + items: *ref_4 + required: &ref_43 + - _id + - _etag + - firstname + - lastname + - passwdhash + - role + responses: + '200': + description: Successfully changed user information + content: + application/json: + schema: + description: > + This object is returned when doing actions like modifying a + document or collection. It contains the ID of the object and + some other information from the database. + allOf: *ref_5 + '401': + description: 'Authentication failed, not logged in or not an admin.' + content: *ref_0 + '404': + description: No user found with that ID. + '412': + description: Given etag did not match the most updated stored one. + content: &ref_57 + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '422': + description: Input parameters are missing/invalid. + content: *ref_6 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + delete: + summary: Delete User + description: > + Delete a user. + + + _Note_: this endpoint requires the logged in user to be an admin and is + only relevant if + + the auth module supports it. + operationId: admin_delete_user + tags: + - admin + parameters: + - name: user_id + in: path + required: true + description: ID of the user on which to operate. + schema: *ref_3 + responses: + '204': + description: Successfully deleted user. + '401': + description: 'Authentication failed, not logged in or not an admin.' + content: *ref_0 + '404': + description: No user found with that ID. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/admin/users/{user_id}/password': + put: + summary: Update User Password + description: > + Update the password of a user. + + + Example: `curl -X post http://localhost:5000/admin/users/ada/password -d + '{"passwd":"newpass"}' -H "Content-type:application/json" --cookie + admin.cookie` + + + _Note_: this endpoint requires the logged in user to be an admin and is + only relevant if + + the auth module supports it. + operationId: admin_update_user_password + tags: + - admin + parameters: + - name: user_id + in: path + required: true + description: ID of the user on which to operate. + schema: *ref_3 + requestBody: + content: + application/json: + schema: + type: object + properties: + passwd: + type: string + required: + - passwd + responses: + '200': + description: Successfully changed user password + content: + application/json: + schema: + description: > + This object is returned when doing actions like modifying a + document or collection. It contains the ID of the object and + some other information from the database. + allOf: *ref_5 + '401': + description: 'Authentication failed, not logged in or not an admin.' + content: *ref_0 + '404': + description: No user found with that ID. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + /admin/system/export: + get: + summary: Export Database + description: > + Export the database to a zip file. + + + Example: `curl -X GET http://localhost:5000/admin/system/export --cookie + admin.cookie -v --output out.zip` + + + _Note_: this endpoint requires the logged in user to be an admin and is + only relevant if + + the auth module supports it. + operationId: admin_system_export + tags: + - admin + responses: + '200': + description: Successfully exported database + content: + application/gzip: {} + '401': + description: 'Authentication failed, not logged in or not an admin.' + content: *ref_0 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + /admin/system/import: + put: + summary: Import Database (Update) + description: > + Import the database given in request body. This will _update_ and not + _replace_ the + + database. + + + Example: `curl -X PUT http://localhost:5000/admin/system/import --cookie + admin.cookie -F "file=@/home/pine/out.zip"` + + + _Note_: this endpoint requires the logged in user to be an admin and is + only relevant if + + the auth module supports it. + operationId: admin_system_import_put + tags: + - admin + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + file: + type: string + format: binary + required: + - file + responses: + '200': + description: Whether the operation succeeded or failed. + content: &ref_7 + application/json: + schema: + type: object + properties: + success: + type: boolean + '400': + description: >- + The loading of data was wrong. Should be a gz, like what is + exported. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '401': + description: 'Authentication failed, not logged in or not an admin.' + content: *ref_0 + '422': + description: The file argument was not present. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + post: + summary: Import Database (Replace) + description: > + Import the database given in request body. This will _replace_ and not + _update_ the + + database. + + + Example: `curl -X POST http://localhost:5000/admin/system/import + --cookie admin.cookie -F "file=@/home/pine/out.zip"` + + + _Note_: this endpoint requires the logged in user to be an admin and is + only relevant if + + the auth module supports it. + operationId: admin_system_import_post + tags: + - admin + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + file: + type: string + format: binary + required: + - file + responses: + '200': + description: Whether the operation succeeded or failed. + content: *ref_7 + '400': + description: >- + The loading of data was wrong. Should be a gz, like what is + exported. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '401': + description: 'Authentication failed, not logged in or not an admin.' + content: *ref_0 + '422': + description: The file argument was not present. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/annotations/mine/by_document_id/{doc_id}': + get: + summary: Get My Document Annotations + description: > + Get a list of annotations done by the logged in user on a document. + + + Example: `curl -X GET + http://localhost:5000/annotations/mine/by_document_id/60d08052f2cb44c51e0af0f1 + --cookie session.cookie` + operationId: annotations_get_mine + tags: + - annotations + parameters: + - name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: &ref_10 + type: string + responses: + '200': + description: Successfully found document and got annotations. + content: + application/json: + schema: + type: object + properties: &ref_15 + _items: + type: array + items: + description: > + This is the log of annotations by a specific user. A + document might have 0, 1, or multiple of these based on + how many users annotated. + allOf: &ref_55 + - allOf: &ref_30 + - type: object + properties: *ref_8 + - type: object + properties: + _version: + type: integer + _latest_version: + type: integer + - type: object + properties: + _id: + type: string + creator_id: + type: string + collection_id: + type: string + document_id: + type: string + annotation: + type: array + items: + anyOf: + - type: string + example: documentlabel + description: String for labels on the entire document. + - type: array + items: + anyOf: + - type: string + - type: integer + example: + - 1 + - 2 + - textlabel + description: >- + Array for individual annotations + [start_index, end_index, label] + _links: + type: object + properties: *ref_9 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: &ref_11 + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '404': + description: Document with given ID was not found. + content: &ref_12 + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + post: + summary: Save My Annotations + description: > + Change annotations of a document. + + + Example: `curl -X PUT + http://localhost:5000/annotations/mine/by_document_id/60d08052f2cb44c51e0af0f1 + --cookie session.cookie -H "Content-type: application/json" -d + '{"doc":["sci.crypt", + "talk.politics.misc"],"ner":[{"end":365,"start":346, "label":"sci.med"}, + {"start":475, "end":530, "label":"alt.atheism"}]}'` + + + _Note_: start or end indices in the middle of words might make the UI + not show the label. + + Also, invalid labels are not checked and might cause the UI to freeze. + operationId: annotations_save_mine + tags: + - annotations + parameters: + - name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: *ref_10 + - name: update_iaa + in: query + required: false + description: Whether to also update IAA reports. + schema: + type: boolean + default: true + requestBody: + description: The labels to add to the document. + required: true + content: + application/json: + schema: + type: object + properties: &ref_13 + doc: + description: Document-level annotations. + type: array + items: + description: Annotation label. + type: string + ner: + description: NER annotations. + type: array + items: + type: object + properties: + start: + description: 'Start index, inclusive.' + type: integer + end: + description: 'End index, exclusive.' + type: integer + label: + description: Annotation label. + type: string + example: &ref_14 + doc: + - label1 + - label2 + ner: + - start: 0 + end: 10 + label: in-text-label + responses: + '200': + description: >- + Successfully found document and changed annotations (returns + doc_id). + content: + application/json: + schema: + type: string + '400': + description: Input parameters are missing/invalid. + content: *ref_6 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Document with given ID was not found. + content: *ref_12 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/annotations/mine/by_collection_id/{collection_id}': + post: + summary: Set Collection Annotations + description: > + Modify annotations of certain documents in a given collection. + + + Example: `curl -X POST + http://localhost:5000/annotations/mine/by_collection_id/60d32ba28d34cf656fed503f + --cookie session.cookie -H "Content-type: application/json" -d + '{"60d32ba48d34cf656fed504b": {"doc":["sci.crypt", + "talk.politics.misc"],"ner":[[0,4,"sci.med"], [0,4,"alt.atheism"]]}, + "60d32ba48d34cf656fed504c": {"doc":[], "ner":[[0,4,"sci.med"]]}}'` + operationId: annotations_collection + tags: + - annotations + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: &ref_21 + type: string + - name: batch_mode + required: true + description: > + Whether or not to send all annotations to the database as one batch + or individually. + + + _Note_: Batch mode should ONLY be used if all of the documents have + not already been annotated. + + + The versioning of eve will be messed up if batch mode annotates a + document with pre-existing annotations (even if old). + + + To be clear, even if a document had annotations that were deleted, + using batch mode on that document will cause problems. + + + Conversely, using individual mode (batch_mode = False) can always be + done, but will be slower. + + + Another issue with individual mode is with many documents, there + will be many backend queries, possibly getting rate limited. + schema: + type: boolean + default: true + in: query + - name: update_iaa + in: query + required: false + description: Whether to also update IAA reports. + schema: + type: boolean + default: true + requestBody: + description: The labels to add to the document. + required: true + content: + application/json: + schema: + description: Mapping from document ID to annotations object. + type: object + additionalProperties: + type: object + properties: *ref_13 + example: *ref_14 + example: + 60d47b4bdbfddb3ca87c7971: + doc: + - label1 + - label2 + ner: + - - 0 + - 10 + - label1 + - - 15 + - 18 + - label2 + responses: + '200': + description: >- + Successfully found document and changed annotations (returns + annotation ids). + content: + application/json: + schema: + type: array + items: + type: string + '400': + description: Input parameters are missing/invalid. + content: *ref_6 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: &ref_23 + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/annotations/others/by_document_id/{doc_id}': + get: + summary: Get Others' Document Annotations + description: > + Get a list of annotations done by everyone but me on a document. + + + Example: `curl -X GET + http://localhost:5000/annotations/others/by_document_id/60d08052f2cb44c51e0af0f1 + --cookie session.cookie` + operationId: annotations_others + tags: + - annotations + parameters: + - name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: *ref_10 + responses: + '200': + description: Successfully found document and got annotations. + content: + application/json: + schema: + type: object + properties: *ref_15 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Document with given ID was not found. + content: *ref_12 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/annotations/by_document_id/{doc_id}': + get: + summary: Get All Document Annotations + description: > + Get a list of annotations done by everyone on a document. + + + Example: `curl -X GET + http://localhost:5000/annotations/by_document_id/60d08052f2cb44c51e0af0f1 + --cookie session.cookie` + operationId: annotations_all + tags: + - annotations + parameters: + - name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: *ref_10 + responses: + '200': + description: Successfully found document and got annotations. + content: + application/json: + schema: + type: object + properties: *ref_15 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Document with given ID was not found. + content: *ref_12 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + /auth/module: + get: + summary: Get Auth Module + description: | + Get the current auth module being used (vegas or eve). + + Example: `curl -X GET http://localhost:5000/auth/module` + operationId: auth_get_module + tags: + - auth + responses: + '200': + description: Successfully got the auth module. + content: + application/json: + schema: + type: string + enum: + - eve + - vegas + /auth/flat: + get: + summary: Get Auth Is Flat + description: > + Return true if the current auth module is flat. + + + "Flat" auth means, generally, there are no administrators and + permissions are generally on + + the same "level". Collection-level permissions for viewing/annotating + still apply, however. + + + Example: `curl -X GET http://localhost:5000/auth/flat` + operationId: auth_get_flat + tags: + - auth + responses: + '200': + description: Successfully return a boolean if the auth module was flat. + content: + application/json: + schema: + type: boolean + /auth/can_manage_users: + get: + summary: Get Auth Can Manage Users + description: > + Return true if the current auth module supports managing users. + + + If `true`, the auth module can change, add, and delete users. If + `false`, users are managed + + by an external system. + + + Example: `curl -X GET http://localhost:5000/auth/flat` + operationId: auth_get_manage + tags: + - auth + responses: + '200': + description: >- + Successfully return a boolean if the auth module supports managing + users. + content: + application/json: + schema: + type: boolean + /auth/logged_in_user: + get: + summary: Get Logged In User + description: > + Get the currently logged in user (checks based on the session - need the + session cookie sent). + + If there is no user logged, in `null` is returned. + + + Example: `curl -X GET http://localhost:5000/auth/logged_in_user --cookie + session.cookie` + operationId: auth_logged_in_user + tags: + - auth + responses: + '200': + description: >- + Successfully returned the logged in user (or null if no session + cookie). + content: + application/json: + schema: + oneOf: + - type: string + nullable: true + default: null + - type: object + properties: &ref_18 + display_name: + type: string + id: + type: string + is_admin: + type: boolean + username: + type: string + example: &ref_19 + display_name: Ada Lovelace + id: ada + is_admin: false + username: ada@pine.jhuapl.edu + /auth/logged_in_user_details: + get: + summary: Get Logged In User Details + description: > + Get the currently logged in user's details. + + + Example: `curl -X GET http://localhost:5000/auth/logged_in_user_details + --cookie session.cookie` + operationId: auth_user_details + security: + - cookieAuth: [] + tags: + - auth + responses: + '200': + description: Successfully returned the logged in user details. + content: + application/json: + schema: + type: object + properties: &ref_16 + description: + type: string + first_name: + type: string + last_name: + type: string + example: &ref_17 + first_name: Ada + last_name: Lovelace + description: The first computer programmer. + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + post: + summary: Update Logged In User Details with Eve + description: | + Updates the user details for the logged in user. + + _Note_: this endpoint is only exposed if using "eve" auth module. + operationId: auth_eve_update_user_details + security: + - cookieAuth: [] + tags: + - auth_eve + requestBody: + content: + application/json: + schema: + type: object + properties: *ref_16 + example: *ref_17 + responses: + '200': + description: Successfully updated user details. + content: + application/json: + schema: + type: boolean + '400': + description: Input parameters are missing/invalid. + content: *ref_6 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + /auth/login_form: + get: + summary: Get the login form. + description: > + For auth modules that use a form to login, this endpoint will return the + information needed + + to present that form to the user and send back the necessary info in a + subsequent login + + call. + + + Example: `curl -X GET http://localhost:5000/auth/login_form` + operationId: auth_login_form + tags: + - auth + responses: + '200': + description: Successfully returned the login form. + content: + application/json: + schema: + description: Information needed to display a login form. + type: object + properties: &ref_44 + button_text: + description: Text to set in the login button. + type: string + fields: + description: Form fields to use. + type: array + items: + type: object + properties: + display: + description: Display name. + type: string + name: + description: Form name. + type: string + type: + description: Form type. + type: string + example: &ref_45 + button_text: Login + fields: + - display: Username or email + name: username + type: text + - display: Password + name: password + type: password + /auth/logout: + post: + summary: Logout + description: > + Logout of the current session. + + + Example: `curl -X POST http://localhost:5000/auth/logout --cookie + session.cookie` + operationId: auth_logout + tags: + - auth + security: + - cookieAuth: [] + responses: + '200': + description: Successfully logged out. + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + /auth/login: + post: + summary: Login User + description: > + Logs in user. How this works depends on the auth module used. + + + For eve: this takes a request body consisting of the login form data. + + + For vegas: this takes in no parameters and returns the URL the caller + should redirect to. + operationId: auth_login + tags: + - auth_eve + - auth_vegas + parameters: + - name: return_to + in: query + required: false + description: 'For vegas auth only, a URL to return to after auth flow.' + schema: + type: string + format: url + requestBody: + required: false + content: + application/json: + schema: + description: Only for eve login. + type: object + properties: &ref_46 + username: + type: string + password: + type: string + responses: + '200': + description: > + For eve: successfully logged in, returns user information. + + + For vegas: starts auth flow and returns the URL that the caller + should redirect to. + content: + application/json: + schema: + oneOf: + - type: object + properties: *ref_18 + example: *ref_19 + - type: string + format: url + '400': + description: Input parameters are missing/invalid. + content: *ref_6 + '401': + description: >- + Given user doesn't exist, password isn't set, or password doesn't + match. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + /auth/users: + get: + summary: Get Eve Users + description: | + Gets all users that are registered with eve. + + _Note_: this endpoint is only exposed if using "eve" auth module. + operationId: auth_eve_users + tags: + - auth_eve + security: + - cookieAuth: [] + responses: + '200': + description: Returns all users. + content: + application/json: + schema: + type: array + items: + type: object + properties: *ref_18 + example: *ref_19 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + /auth/logged_in_user_password: + post: + summary: Update Eve User Password + description: | + Updates the password of the currently logged in eve user. + + _Note_: this endpoint is only exposed if using "eve" auth module. + operationId: auth_eve_update_password + tags: + - auth_eve + security: + - cookieAuth: [] + requestBody: + content: + application/json: + schema: + type: object + properties: &ref_47 + current_password: + type: string + new_password: + type: string + responses: + '200': + description: Successfully changed password. + content: + application/json: + schema: + type: boolean + '400': + description: Input parameters are missing/invalid. + content: *ref_6 + '401': + description: 'Not logged in, or current password doesn''t match.' + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + /auth/authorize: + get: + summary: Authorize From Fragment + description: > + Part of the OAuth flow, this will authorize based on passed-in query + parameters. + + + _Note_: this endpoint is only exposed if using "vegas" auth module. + operationId: auth_vegas_authorize_get + tags: + - auth_vegas + parameters: + - name: fragment + in: query + required: true + description: OAuth flow fragment. + schema: + type: string + responses: + '200': + description: 'Successfully logged in, returns user information.' + content: + application/json: + schema: + type: object + properties: *ref_18 + example: *ref_19 + '400': + description: 'Fragment is not valid, or parsed token is not valid.' + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + post: + summary: Authorize From Token + description: > + Authorize diretly based on an obtained vegas token, outside the normal + OAuth flow. + + This is meant to make it easy to authenticate using vegas and then use + this API outside of + + the web UI. + + + _Note_: this endpoint is only exposed if using "vegas" auth module. + operationId: auth_vegas_authorize_post + tags: + - auth_vegas + requestBody: + description: Token obtained from Vegas. + required: true + content: + application/json: + schema: + description: An auth token obtained by Vegas out-of-band from PINE. + type: object + properties: &ref_48 + auth_token: + type: string + token_type: + type: string + additionalProperties: &ref_49 {} + responses: + '200': + description: 'Successfully logged in, returns user information.' + content: + application/json: + schema: + type: object + properties: *ref_18 + example: *ref_19 + '400': + description: Token is not valid. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + /collections/unarchived: + get: + summary: Get Unarchived Collections + description: > + Get all unarchived collections for logged in user. + + + Example: `curl http://localhost:5000/collections/unarchived --cookie + session.cookie` + operationId: collections_get_unarchived_all + tags: + - collections + responses: + '200': + description: Successfully retrieved relevant collections. + content: + application/json: + schema: + type: object + properties: &ref_20 + _items: + type: array + items: + type: object + properties: &ref_22 + _id: + type: string + creator_id: + type: string + metadata: + type: object + additionalProperties: {} + configuration: + type: object + additionalProperties: {} + labels: + type: array + items: + type: string + viewers: + type: array + items: + type: string + annotators: + type: array + items: + type: string + archived: + type: boolean + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/unarchived/{page}': + get: + summary: Get Paginated Unarchived Collections + description: > + Get unarchived user collections (either all or a certain page). + + + Example: `curl http://localhost:5000/collections/unarchived --cookie + session.cookie` + operationId: collections_get_unarchived_paginated + tags: + - collections + parameters: + - name: page + in: path + required: true + description: > + Optional page number for specifying which collections. "all" for + all pages or a page number. + schema: + oneOf: + - type: string + default: all + - type: integer + responses: + '200': + description: Successfully retrieved relevant collections. + content: + application/json: + schema: + type: object + properties: *ref_20 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + /collections/archived: + get: + summary: Get Archived Collections + description: > + Get all archived user collections. + + + Example: `curl http://localhost:5000/collections/archived --cookie + session.cookie` + operationId: collections_get_archived_all + tags: + - collections + responses: + '200': + description: Successfully retrieved relevant collections. + content: + application/json: + schema: + type: object + properties: *ref_20 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/archived/{page}': + get: + summary: Get Paginated Archived Collections + description: > + Get archived user collections (either all or a certain page). + + + Example: `curl http://localhost:5000/collections/archived --cookie + session.cookie` + operationId: collections_get_archived_paginated + tags: + - collections + parameters: + - name: page + in: path + required: true + description: > + Optional page number for specifying which collections. "all" for + all pages or a page number. + schema: + oneOf: + - type: string + default: all + - type: integer + responses: + '200': + description: Successfully retrieved relevant collections. + content: + application/json: + schema: + type: object + properties: *ref_20 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/archive/{collection_id}': + put: + summary: Archive Collection + description: > + Archive a collection with a certain ID. + + + Example: `curl -X PUT + http://localhost:5000/collections/archive/60c7b7375b72bf4ed6523bf0 + --cookie session.cookie` + operationId: collections_archive + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: Successfully archived the chosen collection. + content: + application/json: + schema: + type: object + properties: *ref_22 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/unarchive/{collection_id}': + put: + summary: Unarchive Collection + description: > + Unarchive a collection with a certain ID. + + + Example: `curl -X PUT + http://localhost:5000/collections/unarchive/60c7b7375b72bf4ed6523bf0 + --cookie session.cookie` + operationId: collections_unarchive + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: Successfully unarchived the chosen collection. + content: + application/json: + schema: + type: object + properties: *ref_22 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/by_id/{collection_id}': + get: + summary: Get Collection + description: > + Retrieve a collection by its ID. + + + Example: `curl -X GET + http://localhost:5000/collections/by_id/60c7b7375b72bf4ed6523bf0 + --cookie session.cookie` + operationId: collections_get + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: Successfully found and rerieved the chosen collection. + content: + application/json: + schema: + type: object + properties: *ref_22 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/by_id/{collection_id}/download': + get: + summary: Download Collection Data + description: > + Download a collection's data by its ID. + + + Example: `curl -X GET + http://localhost:5000/collections/by_id/60c7b7375b72bf4ed6523bf0/download + --cookie session.cookie` + operationId: collections_download + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: Successfully found and downloaded the chosen collection. + content: + application/json: + schema: + type: object + properties: *ref_22 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/add_annotator/{collection_id}': + post: + summary: Add Collection Annotator + description: > + Add an annotator by user_id to a specific collection. + + + Example: `curl --cookie session.cookie -X POST + "http://localhost:5000/collections/add_annotator/60c7453d5b72bf4ed65239e9" + -F 'user_id="\"bob\""'` + + + Notice the quotes around the user_id value, NEEDS to be like that to + include the "" in the + + request session.cookie is a file containing: "Set-cookie: + session=.eJy...(rest of cookie)". + operationId: collections_add_annotator + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + user_id: + type: string + description: > + Note: You must put double quotation marks (`""`) around the + user_id for the backend to parse it correctly as it is a + JSON string. For example, enter `"ada"` instead of just + `ada`. + required: + - user_id + responses: + '200': + description: Successfully added the user as an annotator to the collection. + content: + application/json: + schema: + description: > + This object is returned when doing actions like modifying a + document or collection. It contains the ID of the object and + some other information from the database. + allOf: *ref_5 + '400': + description: 'Request malformed, probably missisng user_id arg.' + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + '409': + description: Specified user is already an annotator. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '500': + description: Internal server error - the form data was probably malformed. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + security: + - cookieAuth: [] + '/collections/add_viewer/{collection_id}': + post: + summary: Add Collection Viewer + description: > + Add a viewer by user_id to a specific collection. + + + Example: `curl --cookie session.cookie -X POST + "http://localhost:5000/collections/add_viewer/60c7453d5b72bf4ed65239e9" + -F 'user_id="\"bob\""'` + + + Notice the quotes around the user_id value, NEEDS to be like that to + include the "" in the + + request. session.cookie is a file containing: "Set-cookie: + session=.eJy...(rest of cookie)" + operationId: addViewerToCollection + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + user_id: + type: string + description: >- + Note: You must put double quotation marks ("") around the + user_id for the backend to parse it correctly. + + + Ex: enter "ada" instead of just ada + required: + - user_id + responses: + '200': + description: Successfully added the user as a viewer to the collection. + content: + application/json: + schema: + description: > + This object is returned when doing actions like modifying a + document or collection. It contains the ID of the object and + some other information from the database. + allOf: *ref_5 + '400': + description: 'Request malformed, probably missisng user_id arg.' + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + '409': + description: Specified user is already an viewer. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '500': + description: Internal server error - the form data was probably malformed. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + security: + - cookieAuth: [] + '/collections/add_label/{collection_id}': + post: + summary: Add Collection Label + description: > + Add a label to a specific collection. + + + Example: `curl --cookie session.cookie -X POST + "http://localhost:5000/collections/add_label/60c7453d5b72bf4ed65239e9" + -F 'new_label="\"testlabel\""'` + + + Notice the quotes around the new_label value, NEEDS to be like that to + include the "" in the + + request. session.cookie is a file containing: "Set-cookie: + session=.eJy...(rest of cookie)" + operationId: collections_add_label + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + new_label: + type: string + description: > + Note: You must put double quotation marks (`""`) around the + new_label for the backend to parse it correctly. Ex: enter + `"MyLabel"` instead of just `MyLabel` + required: + - new_label + responses: + '200': + description: Successfully added the label to the collection. + content: + application/json: + schema: + description: > + This object is returned when doing actions like modifying a + document or collection. It contains the ID of the object and + some other information from the database. + allOf: *ref_5 + '400': + description: 'Request malformed, probably missisng new_label arg.' + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + '409': + description: Specified label is already in collection. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '500': + description: Internal server error - the form data was probably malformed. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + security: + - cookieAuth: [] + /collections: + post: + summary: Create Collection + description: > + Create a new collection. + + + Example: `curl --cookie session.cookie -X POST + "http://localhost:5000/collections" -F 'collection={"creator_id":"ada", + "annotators":["ada"], "labels":["label1", + "labellll"],"metadata":{"title":"newcoll11","subject":null,"description":"describe + blahblah"}}' -F 'overlap="\".9\""' -F 'train_every="\"100\""' -F + 'pipelineId="\"5babb6ee4eb7dd2c39b9671d\""'` + + + Notice the quotes around some value, NEEDS to be like that to include + the "" in the request + + to be parsed as a JSON string. session.cookie is a file containing: + + "Set-cookie: session=.eJy...(rest of cookie)" + operationId: collections_create + tags: + - collections + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: &ref_50 + collection: + description: >- + At minimum, this must include creator_id, annotators, + viewers and labels. All other args or sub-args should be + deleted or set to null value. + + + creator_id MUST be a valid user, otherwise 500 Error will + occur. + type: object + properties: + creator_id: + type: string + annotators: + type: array + items: + type: string + viewers: + type: array + items: + type: string + labels: + type: array + items: + type: string + archived: + type: boolean + default: false + metadata: + type: object + properties: + title: + type: string + subject: + type: string + description: + type: string + publisher: + type: string + contributor: + type: string + date: + type: string + type: + type: string + format: + type: string + identifier: + type: string + source: + type: string + language: + type: string + relation: + type: string + coverage: + type: string + rights: + type: string + configuration: + type: object + properties: + allow_overlapping_ner_annotations: + type: boolean + default: true + example: + creator_id: ada + annotators: + - ada + viewers: + - ada + - margaret + labels: + - label1 + - label2 + archived: false + metadata: + title: Test + subject: testcoll + description: test collection + publisher: ada + contributor: ada + date: 1/1/21 + type: sometype + format: HTML + identifier: ABCD + source: apl + language: english + relation: family + coverage: some + rights: all of them + configuration: + allow_overlapping_ner_annotations: true + train_every: + description: Should be an integer >= 5. + type: integer + minimum: 5 + overlap: + description: > + Should be a float between 0 and 1. + + + WARNING: You MUST put double quotation marks (`""`) around + the number for the backend to + + parse it correctly. + + + Ex: enter `".5"` instead of just `.5` + type: number + format: float + minimum: 0 + maximum: 1 + pipelineId: + type: string + description: > + WARNING: You MUST put double quotation marks (`""`) around + the id for the backend to + + parse it correctly. + + + Ex: enter `"123abc..."` instead of just `123abc...` + classifierParameters: + type: string + format: object + default: null + required: &ref_51 + - collection + - train_every + - overlap + - pipelineId + responses: + '201': + description: Successfully created the collection. + content: + application/json: + schema: + description: > + This object is returned when doing actions like modifying a + document or collection. It contains the ID of the object and + some other information from the database. + allOf: *ref_5 + '400': + description: Request malformed. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '401': + description: 'Authentication failed, not logged in.' + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '500': + description: Error in syntax of the request - OR Wekzeug Authentication Failure. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + security: + - cookieAuth: [] + '/collections/static_images/{collection_id}': + get: + summary: Get Collection Static Images + description: > + Retrieve all static images used in a collection. + + + Example: `curl --cookie session.cookie -X GET + "http://localhost:5000/collections/static_images/60c745395b72bf4ed6523821"` + operationId: collections_get_static_images + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: >- + Successfully found the collection and got any relevant static + images. + content: + application/json: + schema: + type: array + description: An array of static image paths. + items: + type: string + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/images/{collection_id}': + get: + summary: Get Collection Images + description: > + Retrieve all (non-static) images used in a collection. + + + Example: `curl --cookie session.cookie -X GET + "http://localhost:5000/collections/images/60c745395b72bf4ed6523821"` + operationId: collections_get_images + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: Successfully found the collection and got any relevant images. + content: + application/json: + schema: + type: array + description: An array of image paths. + items: + type: string + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/image_exists/{collection_id}/{path}': + get: + summary: Check Collection Image + description: > + Checks whether the given image exists in the given collection. + + + Example: `curl -X GET + "http://localhost:5000/collections/image_exists/60c745395b72bf4ed6523821/static%2Fapl.png" + -H "accept: application/json" --cookie session.cookie` + operationId: collections_image_exists + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + - name: path + in: path + required: true + description: >- + Path of the image to check (same as returned from + images/static_images). + schema: + type: string + example: static/apl.jpg + responses: + '200': + description: Returns whether the collection holds the image. + content: + application/json: + schema: + type: boolean + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/image/{collection_id}/{path}': + get: + summary: Get Collection Image + description: > + Download an image from a collection. + + + Example: `curl --cookie session.cookie -X GET + "http://localhost:5000/collections/image/60c745395b72bf4ed6523821/static/apl.png" + -v --output - > apl.png` + operationId: collections_image + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + - name: path + in: path + required: true + description: >- + Path of the image to download (same as returned from + images/static_images). + schema: + type: string + example: static/apl.jpg + responses: + '200': + description: Successfully found the collection and returns image data. + content: + image/*: + schema: + type: string + format: binary + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + post: + summary: Upload Collection Image + description: > + Upload an image to a collection. + + + Example: `curl --cookie session.cookie -X POST + "http://localhost:5000/collections/image/60c745395b72bf4ed6523821/static/dog.jpeg" + -F 'file=@/home/pine/Downloads/dog.jpeg'` + operationId: collections_image_upload + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + - name: path + in: path + required: true + description: > + Path to place the image at. + + + Note: This path piece should NOT start with / (Ex: static/dog.jpg, + not /static/dog.jpg). + schema: + type: string + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + file: + type: string + format: binary + required: + - file + responses: + '100': + description: 'Couldn''t read the image, probably bad permissions or bad path.' + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '200': + description: Successfully uploaded image (Will return the path). + content: + application/json: + schema: + type: string + '400': + description: Did not include the image in the request form. + content: + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/collections/user_permissions/{collection_id}': + get: + summary: Get Collection User Permissions + description: > + Get the current user permissions of a collection. + + + Example: `curl --cookie session.cookie -X GET + "http://localhost:5000/collections/user_permissions/60c745395b72bf4ed6523821" + -v` + operationId: collections_permissions + tags: + - collections + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: Returns collection permissions for logged in user. + content: + application/json: + schema: + type: object + properties: &ref_27 + add_documents: + type: boolean + add_images: + type: boolean + annotate: + type: boolean + archive: + type: boolean + download_data: + type: boolean + modify_document_metadata: + type: boolean + modify_labels: + type: boolean + modify_users: + type: boolean + view: + type: boolean + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/documents/by_id/{doc_id}': + get: + summary: Get Document + description: > + Retrieve a document based on its ID. + + + Example: `curl + http://localhost:5000/documents/by_id/60c7453f5b72bf4ed65239ee --cookie + session.cookie` + operationId: documents_get + tags: + - documents + parameters: + - name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: *ref_10 + responses: + '200': + description: Successfully found the document based on the ID. + content: + application/json: + schema: + type: object + properties: &ref_25 + _id: + type: string + creator_id: + type: string + collection_id: + type: string + overlap: + type: integer + format: int64 + metadata: + type: object + additionalProperties: {} + text: + type: string + has_annotated: + type: object + additionalProperties: + type: boolean + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Document with given ID was not found. + content: *ref_12 + '500': + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + delete: + summary: Delete Document + description: > + Delete a document based on its ID. + + + This endpoint deletes a document and any annotations. It also updates + any next_instances so + + that the document will not be returned for annotation in any "get next + instance" calls in + + the future. It does NOT delete document data from any pipeline models + or update any IAA + + reports or pipeline metrics. These will be updated next time they are + requested. + + + Example: `curl -X DELETE + http://localhost:5000/documents/by_id/60c7453f5b72bf4ed65239ee --cookie + session.cookie` + operationId: documents_delete + tags: + - documents + parameters: + - name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: *ref_10 + responses: + '200': + description: 'Deletion successful, response has IDs of changed objects.' + content: + application/json: + schema: + type: object + properties: &ref_24 + success: + type: boolean + description: Whether the operation was successful. + changed_objs: + type: object + description: What database objects were changed during operation. + properties: + next_instances: + type: object + properties: + updated: + description: IDs of next_instance objects that were updated. + type: array + items: + type: string + annotations: + type: object + properties: + deleted: + description: IDs of annotation objects that were deleted. + type: array + items: + type: string + documents: + type: object + properties: + deleted: + description: IDs of document objects that were deleted. + type: array + items: + type: string + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Document with given ID was not found. + content: *ref_12 + '500': + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + /documents/by_ids: + delete: + summary: Delete Documents + description: > + Delete documents based on their IDs. + + + This endpoint deletes documents and any associated annotations. It also + updates any next_instances so + + that the documents will not be returned for annotation in any "get next + instance" calls in + + the future. It does NOT delete document data from any pipeline models + or update any IAA + + reports or pipeline metrics. These will be updated next time they are + requested. + + + Example: `curl -X DELETE + http://localhost:5000/documents/by_ids?ids=60c7453f5b72bf4ed65239ee,60c7453f5b72bf4ed65239ef + --cookie session.cookie` + operationId: documents_delete_multiple + tags: + - documents + parameters: + - name: ids + in: query + required: true + description: 'The IDs of the document to delete, comma-separated.' + schema: + type: string + example: '60c7453f5b72bf4ed65239ee,60c7453f5b72bf4ed65239ef' + responses: + '200': + description: 'Deletion successful, response has IDs of changed objects.' + content: + application/json: + schema: + type: object + properties: *ref_24 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Document with given ID was not found. + content: *ref_12 + '500': + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/documents/count_by_collection_id/{collection_id}': + get: + summary: Get Collection Document Count + description: > + Count the number of documents in a collection. + + + Example: `curl + http://localhost:5000/documents/count_by_collection_id/60c7453d5b72bf4ed65239e9 + --cookie session.cookie` + operationId: documents_count_by_collection + tags: + - documents + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: >- + Successfully found collection and counted number of documents + inside. + content: + application/json: + schema: + type: integer + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/documents/by_collection_id_all/{collection_id}': + get: + summary: Get All Collection Documents + description: > + Get all documents that are in a collection with a given collection id. + + + Example: `curl + http://localhost:5000/documents/by_collection_id_all/60c7453d5b72bf4ed65239e9 + --cookie session.cookie` + operationId: documents_get_by_collection + tags: + - documents + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: Successfully found collection and retrieved all related documents. + content: + application/json: + schema: + type: object + properties: &ref_26 + _items: + type: array + items: + type: object + properties: *ref_25 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/documents/by_collection_id_paginated/{collection_id}': + get: + summary: Get Paginated Collection Documents + description: > + Get a variable page of variable size of documents. + + + Example: `curl + "http://localhost:5000/documents/by_collection_id_paginated/60c7453d5b72bf4ed65239e9?page=1&pageSize=5" + --cookie session.cookie` + operationId: documents_get_by_collection_paginated + tags: + - documents + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + - name: page + in: query + required: true + description: > + The page number to get by 0 indexing (Will have documents + page_num*pageSize -> page_num*pageSize+pageSize-1 in the collection + if there are any.) + schema: + type: integer + - name: pageSize + in: query + required: true + description: The number of documents to put in each page. + schema: + type: integer + responses: + '200': + description: > + Successfully found collection and retrieved any (if any) associated + documents (Could return no documents if page number too high). + content: + application/json: + schema: + type: object + properties: *ref_26 + '400': + description: Input parameters are missing/invalid. + content: *ref_6 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/documents/user_permissions/{doc_id}': + get: + summary: Get User Document Permissions + description: > + Get the permission that the logged in user has for this document. + + + Example: `curl + http://localhost:5000/documents/user_permissions/60c7453f5b72bf4ed65239ee + --cookie session.cookie` + operationId: documents_permissions + tags: + - documents + parameters: + - name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: *ref_10 + responses: + '200': + description: Successfully found document and retrieved user permissions. + content: + application/json: + schema: + type: object + properties: *ref_27 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Document with given ID was not found. + content: *ref_12 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/documents/metadata/{doc_id}': + put: + summary: Update Document Metadata + description: > + Change/Replace the metadata of a certain document (does not add). + + + Example: `curl -X PUT + http://localhost:5000/documents/metadata/60c7453f5b72bf4ed65239ee -d + '{"test":"this"}' --cookie session.cookie -H + Content-Type:application/json` + + + Note: you need the content type header to specify json. + operationId: documents_update_metadata + tags: + - documents + parameters: + - name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: *ref_10 + requestBody: + description: The metadata in json form in the body. + required: true + content: + application/json: + schema: + type: object + additionalProperties: {} + responses: + '200': + description: Successfully found document and changed the metadata. + content: + application/json: + schema: + description: > + This object is returned when doing actions like modifying a + document or collection. It contains the ID of the object and + some other information from the database. + allOf: *ref_5 + '400': + description: Input parameters are missing/invalid. + content: *ref_6 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Document with given ID was not found. + content: *ref_12 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + /documents: + post: + summary: Create Document + description: > + Create a new document in a collection. + + + Example: `curl -X POST http://localhost:5000/documents/ -d + '{"collection_id":"6ada", "text":"blah"}' --cookie session.cookie -H + Content-Type:application/json` + operationId: documents_create + tags: + - documents + requestBody: + required: true + content: + application/json: + schema: + oneOf: + - description: >- + Arguments for the new document (at least collection_id, + creator_id, text). + type: object + properties: &ref_28 + collection_id: + type: string + creator_id: + type: string + text: + type: string + overlap: + type: number + format: double + metadata: + type: object + additionalProperties: {} + has_annotated: + type: object + additionalProperties: + type: boolean + required: &ref_29 + - collection_id + - creator_id + - text + - type: array + items: + description: >- + Arguments for the new document (at least collection_id, + creator_id, text). + type: object + properties: *ref_28 + required: *ref_29 + responses: + '200': + description: Successfully created the new document in the collection. + content: + application/json: + schema: + description: > + This object is returned when doing actions like modifying a + document or collection. It contains the ID of the object and + some other information from the database. + allOf: *ref_5 + '400': + description: Input parameters are missing/invalid. + content: *ref_6 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/iaa_reports/by_collection_id/{collection_id}': + get: + summary: Get IAA Report for Collection + description: > + Get the Inter-Annotator Agreement for a specified collection. + + + Note: This will not error with an invalid collection ID, it will give no + items. + + + Example: `curl -X GET + http://localhost:5000/iaa_reports/by_collection_id/60df138b3f8fa7b2e1445bd7 + --cookie ~/session.cookie -v` + operationId: iaa_get + tags: + - iaa_reports + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: Successfully got collection's IAA. + content: + application/json: + schema: + type: object + properties: + _items: + type: array + items: + allOf: &ref_56 + - allOf: *ref_30 + - type: object + properties: + _id: + type: string + collection_id: + type: string + num_of_annotators: + type: integer + num_of_agreement_docs: + type: integer + num_of_labels: + type: integer + per_doc_agreement: + type: object + properties: + doc_id: + type: string + avg: + type: number + format: double + stddev: + type: integer + per_label_agreement: + type: array + items: + type: object + properties: + label: + type: string + avg: + type: number + format: double + stddev: + type: integer + overall_agreement: + type: object + properties: + mean: + type: number + format: double + sd: + type: integer + heatmap_data: + type: object + properties: + matrix: + type: array + items: + type: array + items: + type: number + format: float + minItems: 2 + maxItems: 2 + example: + - 1 + - 0.666666 + annotators: + type: array + items: + type: string + example: + - ada + - margaret + labels_per_annotator: + type: object + additionalProperties: + type: object + additionalProperties: + type: integer + example: + ada: + label1: 1 + label2: 4 + margaret: + label1: 3 + label2: 2 + _updated: + type: string + format: date-time + _created: + type: string + format: date-time + _links: + type: object + properties: *ref_9 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + post: + summary: Create IAA Report for Collection + description: > + Create an Inter-Annotator-Agreement for a collection. + + + Note: This will not error with an invalid collection ID (or not enough + annotators), it will + + return false. + + + Example: `curl -X POST + http://localhost:5000/iaa_reports/by_collection_id/60df138b3f8fa7b2e1445bd7 + --cookie ~/session.cookie -v` + operationId: iaa_create + tags: + - iaa_reports + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: | + Tried to create the IAA (success or fail). + + False means invalid collection ID or not enough annotators. + content: + application/json: + schema: + type: boolean + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + /pipelines: + get: + summary: Get Pipelines + description: > + Get all pipelines. + + + Example: `curl -X GET http://localhost:5000/pipelines/ --cookie + ~/session.cookie` + operationId: pipelines_get_all + tags: + - pipelines + responses: + '200': + description: Successfully got pipelines. + content: + application/json: + schema: + type: object + properties: + _items: + type: array + items: + allOf: &ref_31 + - type: object + properties: *ref_8 + - type: object + properties: + _id: + type: string + title: + type: string + description: + type: string + name: + type: string + parameters: + type: object + additionalProperties: {} + example: + cutoff: integer + iterations: ' integer' + n_iter: integer + dropout: float + max_left: integer + use_class_feature: + - true + - false + use_word: + - true + - false + use_ngrams: + - true + - false + no_mid_ngrams: + - true + - false + max_ngram_length: integer + use_prev: + - true + - false + use_next: + - true + - false + use_disjunctive: + - true + - false + use_sequences: + - true + - false + use_prev_sequences: + - true + - false + use_type_seqs: + - true + - false + use_type_seqs2: + - true + - false + use_type_y_sequences: + - true + - false + _updated: + type: string + format: date-time + _created: + type: string + format: date-time + _links: + type: object + properties: *ref_9 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/by_id/{pipeline_id}': + get: + summary: Get Pipeline + description: > + Get the pipeline with the given ID. + + + Example: `curl -X GET + http://localhost:5000/pipelines/by_id/5babb6ee4eb7dd2c39b9671f --cookie + ~/session.cookie -v` + operationId: pipelines_get + tags: + - pipelines + parameters: + - name: pipeline_id + in: path + required: true + description: The id of the pipeline on which to operate. + schema: &ref_35 + type: string + responses: + '200': + description: Successfully got specified pipeline. + content: + application/json: + schema: + allOf: *ref_31 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Pipeline with given ID was not found. + content: &ref_36 + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/classifiers/by_collection_id/{collection_id}': + get: + summary: Get Collection Classifier + description: > + Get the classifier information for a collection. + + + Example: `curl -X GET + http://localhost:5000/pipelines/classifiers/by_collection_id/60db2cacdbfddb3ca87c845d + --cookie ~/session.cookie` + operationId: pipelines_get_collection_classifier + tags: + - pipelines + parameters: + - name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + responses: + '200': + description: Successfully found collection and got information. + content: + application/json: + schema: + allOf: &ref_52 + - allOf: *ref_30 + - type: object + properties: + _id: + type: string + _created: + type: string + format: date-time + _updated: + type: string + format: date-time + annotated_document_count: + type: integer + collection_id: + type: string + labels: + type: array + items: + type: string + overlap: + type: number + format: double + parameters: + type: object + additionalProperties: {} + pipeline_id: + type: string + train_every: + type: integer + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Collection with given ID was not found. + content: *ref_23 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + /pipelines/metrics: + get: + summary: Get Collection Metrics + description: > + Get metrics for all available collections. + + + Example: `curl -X GET http://localhost:5000/pipelines/metrics --cookie + ~/session.cookie` + operationId: pipelines_get_metrics + tags: + - pipelines + responses: + '200': + description: Successfully got metrics. + content: + application/json: + schema: + type: object + properties: + _items: + type: array + items: + type: object + properties: &ref_32 + _id: + type: string + collection_id: + type: string + classifier_id: + type: string + documents: + type: array + items: {} + annotations: + type: array + items: {} + folds: + type: array + items: {} + metrics: + type: array + items: {} + _updated: + type: string + _created: + type: string + _version: + type: integer + _etag: + type: string + _links: + type: object + properties: + self: + type: object + properties: + title: + type: string + href: + type: string + _links: + type: object + properties: *ref_9 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/metrics/by_classifier_id/{classifier_id}': + get: + summary: Get Classifier Metrics + description: > + Get metric by classifier id. + + + Example: `curl -X GET + http://localhost:5000/pipelines/metrics/by_classifier_id/60df138b3f8fa7b2e1445bd8 + --cookie ~/session.cookie` + operationId: pipelines_get_classifier_metrics + tags: + - pipelines + parameters: + - name: classifier_id + in: path + required: true + description: The id of the classifier on which to operate. + schema: &ref_33 + type: string + responses: + '200': + description: Successfully got metric(s). + content: + application/json: + schema: + type: object + properties: + _items: + type: array + items: + type: object + properties: *ref_32 + _links: + type: object + properties: *ref_9 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Classifier with given ID was not found. + content: &ref_34 + application/json: + schema: + description: Error message from the server. + type: string + example: Error message from the server. + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/next_document/by_classifier_id/{classifier_id}': + get: + summary: Get Next Document to Annotate + description: > + Get the next document id to annotate based on classifier id (or null if + no un-annotated + + documents). + + + Example: `curl -X GET + http://localhost:5000/pipelines/next_document/by_classifier_id/60df138b3f8fa7b2e1445bd8 + --cookie ~/session.cookie` + operationId: pipelines_get_next_document + tags: + - pipelines + parameters: + - name: classifier_id + in: path + required: true + description: The id of the classifier on which to operate. + schema: *ref_33 + responses: + '200': + description: 'Got ID of next document to annotate, or null if all are complete.' + content: + application/json: + schema: + type: string + nullable: true + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Classifier with given ID was not found. + content: *ref_34 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/next_document/by_classifier_id/{classifier_id}/{doc_id}': + post: + summary: Advance Next Document + description: > + Advance to next document by marking the given one as annotated. + + + Example: `curl -X POST + http://localhost:5000/pipelines/next_document/by_classifier_id/60df138b3f8fa7b2e1445bd8/60df13d73f8fa7b2e1445bdd + --cookie ~/session.cookie` + + + This will still give you a valid response with an invalid document ID. + operationId: pipelines_advance_next_document + tags: + - pipelines + parameters: + - name: classifier_id + in: path + required: true + description: The id of the classifier on which to operate. + schema: *ref_33 + - name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: *ref_10 + responses: + '200': + description: Complete annotations on document. + content: + application/json: + schema: + type: object + properties: + body: + type: object + nullable: true + success: + type: boolean + trained: + type: boolean + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Classifier with given ID was not found. + content: *ref_34 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/status/{pipeline_id}': + get: + summary: Get Pipeline Status + description: > + Get the status of the pipeline with the given ID. + + + Example: `curl -X GET + http://localhost:5000/pipelines/status/60df138b3f8fa7b2e1445bd8 --cookie + ~/session.cookie` + operationId: pipelines_get_status + tags: + - pipelines + parameters: + - name: pipeline_id + in: path + required: true + description: The id of the pipeline on which to operate. + schema: *ref_35 + responses: + '200': + description: Returns the status for the given pipeline. + content: + application/json: + schema: + type: object + properties: &ref_37 + service_details: + description: Information about the pipeline service. + type: object + properties: + channel: + type: string + framework: + type: string + framework_types: + type: array + items: + type: string + name: + type: string + version: + type: string + format: version + job_id: + description: The ID of this pipeline job. + type: string + format: uuid + job_request: + description: The job request data submitted to pipelines. + type: object + properties: &ref_38 + job_id: + description: The ID of this pipeline job. + type: string + format: uuid + job_queue: + type: string + job_type: + type: string + job_data: + type: object + properties: + framework: + type: string + type: + description: The type of job. + type: string + classifier_id: + type: string + nullable: true + additionalProperties: + description: Any additional job parameters. + job_response: + description: The job request data received from pipelines. + type: object + properties: + pipeline_name: + type: string + eve_entry_point: + type: string + model_dir: + type: string + format: path + classifier: + description: Status of the classifier. + type: object + has_trained: + description: Whether the classifier has trained. + type: boolean + classifier_id: + description: Will not be present for pipeline status. + type: string + nullable: true + classifier_class: + description: Python class for this classifier. + type: string + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Pipeline with given ID was not found. + content: *ref_36 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/classifiers/status/{classifier_id}': + get: + summary: Get Classifier Status + description: > + Get the status of the classifier with the given ID. + + + Example: `curl -X GET + http://localhost:5000/pipelines/classifiers/status/60df138b3f8fa7b2e1445bd8 + --cookie ~/session.cookie` + operationId: pipelines_get_classifier_status + tags: + - pipelines + parameters: + - name: classifier_id + in: path + required: true + description: The id of the classifier on which to operate. + schema: *ref_33 + responses: + '200': + description: Returns the status for the given classifier. + content: + application/json: + schema: + type: object + properties: *ref_37 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Classifier with given ID was not found. + content: *ref_34 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/running_jobs/{classifier_id}': + get: + summary: Get Classifier Running Jobs + description: > + Get any currently running jobs of the classifier with the given ID. + + + Example: `curl -X GET + http://localhost:5000/pipelines/running_jobs/60df138b3f8fa7b2e1445bd8 + --cookie ~/session.cookie` + operationId: pipelines_get_running_jobs + tags: + - pipelines + parameters: + - name: classifier_id + in: path + required: true + description: The id of the classifier on which to operate. + schema: *ref_33 + responses: + '200': + description: Returns the all currently running jobs for the classifier. + content: + application/json: + schema: + type: array + items: + type: string + format: uuid + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Classifier with given ID was not found. + content: *ref_34 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/train/{classifier_id}': + post: + summary: Train Classifier + description: > + Trains the classifier based on currently annotated documents in the + collection. + + + This endpoint is _ASYNCHRONOUS_ in that it will return information about + the submitted job + + rather than any results from the job. + + + Example: `curl -X POST + http://localhost:5000/pipelines/train/60df138b3f8fa7b2e1445bd8 --cookie + session.cookie` + operationId: pipelines_train + tags: + - pipelines + parameters: + - name: classifier_id + in: path + required: true + description: The id of the classifier on which to operate. + schema: *ref_33 + requestBody: + content: + application/json: + schema: + type: object + properties: + model_name: + description: Optional name to save the model for future reference. + type: string + responses: + '200': + description: Returns the all currently running jobs for the classifier. + content: + application/json: + schema: + type: object + properties: + request: + description: The job request data submitted to pipelines. + type: object + properties: *ref_38 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Classifier with given ID was not found. + content: *ref_34 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] + '/pipelines/predict/{classifier_id}': + post: + summary: Predict Using Classifier + description: > + Uses the given classifier to predict annotations for the given + document(s). + + + Example: `curl -X POST + http://localhost:5000/pipelines/predict/60df138b3f8fa7b2e1445bd8 + --cookie session.cookie` + operationId: pipelines_predict + tags: + - pipelines + parameters: + - name: classifier_id + in: path + required: true + description: The id of the classifier on which to operate. + schema: *ref_33 + requestBody: + content: + application/json: + schema: + description: Either document_ids or texts must be given and non-empty. + type: object + properties: &ref_53 + document_ids: + description: IDs of documents to predict annotations for. + type: array + items: + type: string + default: [] + texts: + description: Text of documents to predict annotations for. + type: array + items: + type: string + default: [] + timeout_in_s: + description: >- + If provided, will wait this long before timing out on the + job. + type: integer + default: 36000 + responses: + '200': + description: Returns the predictions and other job information. + content: + application/json: + schema: + description: Pipeline predictions and other job information. + type: object + properties: &ref_54 + job_id: + type: string + format: uuid + job_request: + description: The job request data submitted to pipelines. + type: object + properties: *ref_38 + job_response: + type: object + properties: + documents_by_id: + description: >- + Predictions in a mapping from document ID to + annotations. + type: object + additionalProperties: + type: object + properties: &ref_39 + doc: + description: Document-level annotations. + type: array + items: + description: Annotation label. + type: string + example: + - label1 + - label2 + ner: + description: 'NER annotations. [startIndex, endIndex, label].' + type: array + items: + type: array + items: + oneOf: + - type: string + - type: integer + example: + - 5 + - 10 + - label1 + texts: + description: >- + Predictions for manual texts in the same order as they + were in the input. + type: array + items: + type: object + properties: *ref_39 + '400': + description: Input parameters are missing/invalid. + content: *ref_6 + '401': + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + '404': + description: Classifier with given ID was not found. + content: *ref_34 + default: + description: 'Unexpected error, check server logs.' + content: *ref_1 + security: + - cookieAuth: [] +components: + securitySchemes: + cookieAuth: + description: > + This an example command to provision and print the session key using + eve: + + + `curl -X POST -H "Content-Type:application/json" -d + '{"username":"ada@pine.jhuapl.edu","password":"ada@pine.jhuapl.edu"}' + http://localhost:5000/auth/login --cookie-jar - --output /dev/null + --silent | grep -o -P "session\s.+" | sed -e 's/session\s/session=/' -` + type: apiKey + in: cookie + name: session + schemas: + UserRoles: + description: The role (for permissions) of the user. + type: array + items: *ref_4 + NewUserData: + type: object + properties: *ref_40 + required: *ref_41 + UpdateUserData: + type: object + properties: *ref_42 + required: *ref_43 + WrappedAnnotations: + type: object + properties: *ref_15 + LoginForm: + description: Information needed to display a login form. + type: object + properties: *ref_44 + example: *ref_45 + EveLogin: + description: Only for eve login. + type: object + properties: *ref_46 + EvePasswordChange: + type: object + properties: *ref_47 + VegasAuthToken: + description: An auth token obtained by Vegas out-of-band from PINE. + type: object + properties: *ref_48 + additionalProperties: *ref_49 + WrappedCollections: + type: object + properties: *ref_20 + NewCollection: + type: object + properties: *ref_50 + required: *ref_51 + WrappedDocuments: + type: object + properties: *ref_26 + NewDocument: + description: >- + Arguments for the new document (at least collection_id, creator_id, + text). + type: object + properties: *ref_28 + required: *ref_29 + Classifier: + allOf: *ref_52 + PipelineJobRequest: + description: The job request data submitted to pipelines. + type: object + properties: *ref_38 + PipelineOrClassifierStatus: + type: object + properties: *ref_37 + PipelinePredictParameters: + description: Either document_ids or texts must be given and non-empty. + type: object + properties: *ref_53 + PipelineDocumentPredictions: + type: object + properties: *ref_39 + PipelinePredictions: + description: Pipeline predictions and other job information. + type: object + properties: *ref_54 + ErrorResponse: + description: Error message from the server. + type: string + example: Error message from the server. + UserInfo: + type: object + properties: *ref_2 + EveBase: + type: object + properties: *ref_8 + EveLinks: + type: object + properties: *ref_9 + IDInfo: + description: > + This object is returned when doing actions like modifying a document or + collection. It contains the ID of the object and some other information + from the database. + allOf: *ref_5 + EveBaseWithVersion: + allOf: *ref_30 + UserDocumentAnnotation: + description: > + This is the log of annotations by a specific user. A document might + have 0, 1, or multiple of these based on how many users annotated. + allOf: *ref_55 + DocumentAnnotations: + type: object + properties: *ref_13 + example: *ref_14 + AuthUser: + type: object + properties: *ref_18 + example: *ref_19 + AuthUserDetails: + type: object + properties: *ref_16 + example: *ref_17 + Collection: + type: object + properties: *ref_22 + UserPermissions: + type: object + properties: *ref_27 + Document: + type: object + properties: *ref_25 + DocumentDeletionResponse: + type: object + properties: *ref_24 + InterAnnotatorAgreement: + allOf: *ref_56 + Pipeline: + allOf: *ref_31 + CollectionMetric: + type: object + properties: *ref_32 + responses: + UnexpectedServerError: + description: 'Unexpected error, check server logs.' + content: *ref_1 + NotAuthorizedOrNotAdmin: + description: 'Authentication failed, not logged in or not an admin.' + content: *ref_0 + InvalidInputParameters: + description: Input parameters are missing/invalid. + content: *ref_6 + MismatchedEtag: + description: Given etag did not match the most updated stored one. + content: *ref_57 + Success: + description: Whether the operation succeeded or failed. + content: *ref_7 + NotAuthorized: + description: > + Authentication failed: not logged in or user doesn't have the + permissions for this operation. + content: *ref_11 + DocumentNotFound: + description: Document with given ID was not found. + content: *ref_12 + CollectionNotFound: + description: Collection with given ID was not found. + content: *ref_23 + PipelineNotFound: + description: Pipeline with given ID was not found. + content: *ref_36 + ClassifierNotFound: + description: Classifier with given ID was not found. + content: *ref_34 + parameters: + userIdParam: + name: user_id + in: path + required: true + description: ID of the user on which to operate. + schema: *ref_3 + docIdParam: + name: doc_id + in: path + required: true + description: The id of the document on which to operate. + schema: *ref_10 + collectionIdParam: + name: collection_id + in: path + required: true + description: The id of the collection on which to operate. + schema: *ref_21 + pipelineIdParam: + name: pipeline_id + in: path + required: true + description: The id of the pipeline on which to operate. + schema: *ref_35 + classifierIdParam: + name: classifier_id + in: path + required: true + description: The id of the classifier on which to operate. + schema: *ref_33 +tags: + - name: admin + description: > + Operations in the "admin" blueprint. 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+
+
+
+ +
+

pine.backend.api.bp

+
+

Module Contents

+
+

Functions

+ ++++ + + + + + + + + + + + + + + +

openapi_spec()

swagger_ui_index()

swagger_ui(file: str)

init_app(app)

+
+
+pine.backend.api.bp.bp
+
+ +
+
+pine.backend.api.bp.LOGGER
+
+ +
+
+pine.backend.api.bp.openapi_spec()
+
+ +
+
+pine.backend.api.bp.swagger_ui_index()
+
+ +
+
+pine.backend.api.bp.swagger_ui(file: str)
+
+ +
+
+pine.backend.api.bp.init_app(app)
+
+ +
+
+
+ + +
+
+
+
+ +
+
+ + + + \ No newline at end of file diff --git a/docs/build/html/autoapi/pine/backend/api/index.html b/docs/build/html/autoapi/pine/backend/api/index.html new file mode 100644 index 0000000..341babc --- /dev/null +++ b/docs/build/html/autoapi/pine/backend/api/index.html @@ -0,0 +1,139 @@ + + + + + + + + + pine.backend.api — pine documentation + + + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

pine.backend.api

+

This module implements all methods required for SwaggerUI to run on the +backend of PINE.

+
+

Submodules

+
+ +
+
+
+ + +
+
+
+
+ +
+
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+ + + + + + +
+pine.backend.api +

This module implements all methods required for SwaggerUI to run on the +backend of PINE.

+
+Submodules +
+
+pine.backend.api.bp +
+Module Contents +
+Functions + ++++ + + + + + + + + + + + + + + +

openapi_spec()

swagger_ui_index()

swagger_ui(file: str)

init_app(app)

+
+
+pine.backend.api.bp.bp
+
+ +
+
+pine.backend.api.bp.LOGGER
+
+ +
+
+pine.backend.api.bp.openapi_spec()
+
+ +
+
+pine.backend.api.bp.swagger_ui_index()
+
+ +
+
+pine.backend.api.bp.swagger_ui(file: str)
+
+ +
+
+pine.backend.api.bp.init_app(app)
+
+
@@ -960,7 +1029,7 @@ front-end and store the collections in the backend

add_label_to_collection(collection_id)

-

get_overlap_ids(collection_id)

+

get_overlap_ids(collection_id: str)

Return the list of ids for overlapping documents for the collection matching the provided collection id.

_upload_documents(collection, docs)

@@ -1139,7 +1208,7 @@ pages.
-pine.backend.collections.bp.get_overlap_ids(collection_id)
+pine.backend.collections.bp.get_overlap_ids(collection_id: str)

Return the list of ids for overlapping documents for the collection matching the provided collection id. :param collection_id: str :return: tuple

@@ -1257,6 +1326,9 @@ csvHasHeader - boolean for whether or not the csv file has a header row (default

get_user_permissions_by_ids(collection_ids: Iterable[str]) → List[models.CollectionUserPermissions]

+

get_overlap_ids(collection_id: str)

+

Return the list of ids for overlapping documents for the collection matching the provided collection id.

+
@@ -1279,6 +1351,14 @@ csvHasHeader - boolean for whether or not the csv file has a header row (default pine.backend.collections.get_user_permissions_by_ids(collection_ids: Iterable[str]) → List[models.CollectionUserPermissions]
+
+
+pine.backend.collections.get_overlap_ids(collection_id: str)
+

Return the list of ids for overlapping documents for the collection matching the provided collection id. +:param collection_id: str +:return: tuple

+
+
@@ -1489,7 +1569,7 @@ type of strings that is combined with a ‘/’.

-pine.backend.data.service.get(path: PATH_TYPE, **kwargs: dict) → requests.Response
+pine.backend.data.service.get(path: PATH_TYPE, **kwargs: dict) → requests.Response

Wraps requests.get for the given eve-relative path.

Parameters
@@ -1503,14 +1583,14 @@ type of strings that is combined with a ‘/’.

server response

Return type
-

requests.Response

+

requests.Response

-pine.backend.data.service.post(path: PATH_TYPE, **kwargs: dict) → requests.Response
+pine.backend.data.service.post(path: PATH_TYPE, **kwargs: dict) → requests.Response

Wraps requests.post for the given eve-relative path.

Parameters
@@ -1524,14 +1604,14 @@ type of strings that is combined with a ‘/’.

server response

Return type
-

requests.Response

+

requests.Response

-pine.backend.data.service.put(path: PATH_TYPE, **kwargs: dict) → requests.Response
+pine.backend.data.service.put(path: PATH_TYPE, **kwargs: dict) → requests.Response

Wraps requests.put for the given eve-relative path.

Parameters
@@ -1545,14 +1625,14 @@ type of strings that is combined with a ‘/’.

server response

Return type
-

requests.Response

+

requests.Response

-pine.backend.data.service.delete(path: PATH_TYPE, **kwargs: dict) → requests.Response
+pine.backend.data.service.delete(path: PATH_TYPE, **kwargs: dict) → requests.Response

Wraps requests.delete for the given eve-relative path.

Parameters
@@ -1566,14 +1646,14 @@ type of strings that is combined with a ‘/’.

server response

Return type
-

requests.Response

+

requests.Response

-pine.backend.data.service.patch(path: PATH_TYPE, **kwargs: dict) → requests.Response
+pine.backend.data.service.patch(path: PATH_TYPE, **kwargs: dict) → requests.Response

Wraps requests.patch for the given eve-relative path.

Parameters
@@ -1587,7 +1667,7 @@ type of strings that is combined with a ‘/’.

server response

Return type
-

requests.Response

+

requests.Response

@@ -1677,7 +1757,7 @@ JSON with “_items”, “_meta”, etc.

-pine.backend.data.service.convert_response(requests_response: requests.Response) → flask.Response
+pine.backend.data.service.convert_response(requests_response: requests.Response) → flask.Response

Converts a requests response to a flask response.

Parameters
@@ -2079,7 +2159,10 @@ calling … with all the default options.

-

ServiceManager

+

ServiceJob

+

Data class for a service job.

+ +

ServiceManager

type default_handler

callable

@@ -2099,6 +2182,23 @@ calling … with all the default options.

pine.backend.job_manager.service.logger
+
+
+class pine.backend.job_manager.service.ServiceJob(job_id: str, request_body: dict, request_response: dict)
+

Bases: object

+

Data class for a service job.

+

“Constructor.

+
+
Parameters
+
    +

  • job_id – str: job ID

    • +

  • request_body – dict: job request body

    • +

  • request_response – dict: job request response

    • +
+
+
+
+
class pine.backend.job_manager.service.ServiceManager(default_handler=None)
@@ -2210,6 +2310,16 @@ calling … with all the default options.

reserved_channels
+
+
+classmethod get_results_key(cls, service_name: str, job_id: str) → str
+
+ +
+
+classmethod get_running_jobs_key(cls, service_name: str) → str
+
+
classmethod get_registered_channels(cls, include_ttl=False)
@@ -2234,9 +2344,19 @@ calling … with all the default options.

:rtype: list[str] | list[dict]

+
+
+classmethod _get_service_details(cls, service_name: str, retry_count=10) → dict
+
+ +
+
+classmethod _get_service_channel(cls, service_name: str) → str
+
+
-classmethod send_service_request(cls, service_name, data, job_id=None, encoder=None)
+classmethod send_service_request(cls, service_name: str, data, job_id=None, encoder=None)

Queue’s a job for the requested service. :type service_name: str :type data: dict @@ -2245,6 +2365,36 @@ calling … with all the default options.

:rtype: None | dict

+
+
+classmethod get_job_response(cls, service_name: str, job_id: str, timeout_in_s: int)
+

Waits for a response for the given job and returns it. +:param service_name: str: service name +:param job_id: str: job ID +:param timeout_in_s: int: wait timeout in seconds +:rtype None | dict

+
+ +
+
+classmethod send_service_request_and_get_response(cls, service_name: str, data, timeout_in_s: int, job_id=None, encoder=None) → pine.backend.job_manager.service.ServiceJob
+

Sends a service requests, waits for a response, and returns job data. +:param service_name: str: service name +:param data: job data +:param timeout_in_s: int: wait timeout in seconds +:param job_id: str: optional job ID (or None to auto-generate one) +:param encoder: optional JSON encoder for job data +:rtype None | ServiceJob

+
+ +
+
+classmethod get_running_jobs(cls, service_name: str) → List[str]
+

Returns running jobs. +:param service_name: str: service name +:rtype list[str]

+
+
start_listeners(self)
@@ -3058,43 +3208,73 @@ annotations. Boundary errors for adjacent annotations with the same label are ig +

_get_classifier(classifier_id: str) → dict

+

+ +

_clear_classifier(classifier_id: str)

+

+ +

_get_classifier_pipeline(classifier_id: str) → dict

+

+ +

_check_permissions(classifier: dict)

+

+ +

_get_pipeline_status(pipeline: str, classifier_id: str) → dict

+

+ +

_get_pipeline_running_jobs(pipeline: str, classifier_id: str) → List[str]

+

+ +

_train_pipeline(pipeline: str, classifier_id: str, model_name: str) → dict

+

+ +

_predict_pipeline(pipeline: str, classifier_id: str, document_ids: List[str], texts: List[str], timeout_in_s: int) → dict

+

+

get_pipelines()

-

get_pipeline_by_id(pipeline_id)

+

get_pipeline_by_id(pipeline_id: str)

-

_get_collection_classifier(collection_id)

+

get_pipeline_status(pipeline_id: str) → flask.Response

-

get_collection_classifier(collection_id)

+

_get_classifier_metrics(classifier_id: str)

-

_get_classifier_metrics(classifier_id)

+

get_classifier_metrics(classifier_id: str)

-

get_metrics()

+

_get_collection_classifier(collection_id: str) → dict

-

get_classifier_metrics(classifier_id)

+

get_collection_classifier(collection_id: str)

-

_get_classifier(classifier_id)

+

get_classifier_status(classifier_id: str)

-

_get_next_instance(classifier_id)

+

get_running_jobs(classifier_id: str)

-

get_next_by_classifier(classifier_id)

+

train(classifier_id: str)

-

advance_to_next_document_by_classifier(classifier_id, document_id)

+

predict(classifier_id: str)

-

predict()

+

_get_next_instance(classifier_id: str)

-

test_redis()

+

_check_instance_overlap(classifier: dict, instance: dict, user_id: str)

+

+ +

get_next_by_classifier(classifier_id: str)

+

+ +

advance_to_next_document_by_classifier(classifier_id: str, document_id: str)

init_app(app)

@@ -3118,13 +3298,53 @@ annotations. Boundary errors for adjacent annotations with the same label are ig
-
-pine.backend.pipelines.bp.classifier_dict
+
+pine.backend.pipelines.bp._cached_classifiers
-
-pine.backend.pipelines.bp.classifier_pipelines
+
+pine.backend.pipelines.bp._cached_classifier_pipelines
+
+ +
+
+pine.backend.pipelines.bp._get_classifier(classifier_id: str) → dict
+
+ +
+
+pine.backend.pipelines.bp._clear_classifier(classifier_id: str)
+
+ +
+
+pine.backend.pipelines.bp._get_classifier_pipeline(classifier_id: str) → dict
+
+ +
+
+pine.backend.pipelines.bp._check_permissions(classifier: dict)
+
+ +
+
+pine.backend.pipelines.bp._get_pipeline_status(pipeline: str, classifier_id: str) → dict
+
+ +
+
+pine.backend.pipelines.bp._get_pipeline_running_jobs(pipeline: str, classifier_id: str) → List[str]
+
+ +
+
+pine.backend.pipelines.bp._train_pipeline(pipeline: str, classifier_id: str, model_name: str) → dict
+
+ +
+
+pine.backend.pipelines.bp._predict_pipeline(pipeline: str, classifier_id: str, document_ids: List[str], texts: List[str], timeout_in_s: int) → dict
@@ -3134,62 +3354,72 @@ annotations. Boundary errors for adjacent annotations with the same label are ig
-pine.backend.pipelines.bp.get_pipeline_by_id(pipeline_id)
+pine.backend.pipelines.bp.get_pipeline_by_id(pipeline_id: str)
-
-pine.backend.pipelines.bp._get_collection_classifier(collection_id)
-
- -
-
-pine.backend.pipelines.bp.get_collection_classifier(collection_id)
+
+pine.backend.pipelines.bp.get_pipeline_status(pipeline_id: str) → flask.Response
-pine.backend.pipelines.bp._get_classifier_metrics(classifier_id)
-
- -
-
-pine.backend.pipelines.bp.get_metrics()
+pine.backend.pipelines.bp._get_classifier_metrics(classifier_id: str)
-pine.backend.pipelines.bp.get_classifier_metrics(classifier_id)
+pine.backend.pipelines.bp.get_classifier_metrics(classifier_id: str)
-
-pine.backend.pipelines.bp._get_classifier(classifier_id)
+
+pine.backend.pipelines.bp._get_collection_classifier(collection_id: str) → dict
-
-pine.backend.pipelines.bp._get_next_instance(classifier_id)
+
+pine.backend.pipelines.bp.get_collection_classifier(collection_id: str)
-
-pine.backend.pipelines.bp.get_next_by_classifier(classifier_id)
+
+pine.backend.pipelines.bp.get_classifier_status(classifier_id: str)
-
-pine.backend.pipelines.bp.advance_to_next_document_by_classifier(classifier_id, document_id)
+
+pine.backend.pipelines.bp.get_running_jobs(classifier_id: str)
+
+ +
+
+pine.backend.pipelines.bp.train(classifier_id: str)
-pine.backend.pipelines.bp.predict()
+pine.backend.pipelines.bp.predict(classifier_id: str)
-
-pine.backend.pipelines.bp.test_redis()
+
+pine.backend.pipelines.bp._get_next_instance(classifier_id: str)
+
+ +
+
+pine.backend.pipelines.bp._check_instance_overlap(classifier: dict, instance: dict, user_id: str)
+
+ +
+
+pine.backend.pipelines.bp.get_next_by_classifier(classifier_id: str)
+
+ +
+
+pine.backend.pipelines.bp.advance_to_next_document_by_classifier(classifier_id: str, document_id: str)
@@ -4258,7 +4488,7 @@ are fully aware of the security consequences

The currently open session, or None.

Type
-

requests.Session

+

requests.Session

@@ -4311,145 +4541,145 @@ security consequences of such.

-_req(self, method: str, path: str, *additional_paths: List[str], **kwargs) → requests.Response
-

Makes a requests call, checks for errors, and returns the response.

+_req(self, method: str, path: str, *additional_paths: List[str], **kwargs) → requests.Response +

Makes a requests call, checks for errors, and returns the response.

Parameters

  • method (str) – REST method ("get", "post", etc.)

  • path (str) – relative path, e.g. "users"

  • *additional_paths (list(str), optional) – any additional path components

    • -

  • **kwargs (dict) – any additional kwargs to send to requests

    • +

  • **kwargs (dict) – any additional kwargs to send to requests

Raises

exceptions.PineClientHttpException – if the HTTP request returns an error

Returns
-

the requests requests.Response object

+

the requests requests.Response object

Return type
-

requests.Response

+

requests.Response

-get(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response
-

Makes a requests GET call, checks for errors, and returns the response.

+get(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response +

Makes a requests GET call, checks for errors, and returns the response.

Parameters

  • path (str) – relative path, e.g. "users"

  • *additional_paths (list(str), optional) – any additional path components

    • -

  • **kwargs (dict) – any additional kwargs to send to requests

    • +

  • **kwargs (dict) – any additional kwargs to send to requests

Raises

exceptions.PineClientHttpException – if the HTTP request returns an error

Returns
-

the requests Response object

+

the requests Response object

Return type
-

requests.Response

+

requests.Response

-put(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response
-

Makes a requests PUT call, checks for errors, and returns the response.

+put(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response +

Makes a requests PUT call, checks for errors, and returns the response.

Parameters

  • path (str) – relative path, e.g. "users"

  • *additional_paths (list(str), optional) – any additional path components

    • -

  • **kwargs (dict) – any additional kwargs to send to requests

    • +

  • **kwargs (dict) – any additional kwargs to send to requests

Raises

exceptions.PineClientHttpException – if the HTTP request returns an error

Returns
-

the requests Response object

+

the requests Response object

Return type
-

requests.Response

+

requests.Response

-patch(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response
-

Makes a requests PATCH call, checks for errors, and returns the response.

+patch(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response +

Makes a requests PATCH call, checks for errors, and returns the response.

Parameters

  • path (str) – relative path, e.g. "users"

  • *additional_paths (list(str), optional) – any additional path components

    • -

  • **kwargs (dict) – any additional kwargs to send to requests

    • +

  • **kwargs (dict) – any additional kwargs to send to requests

Raises

exceptions.PineClientHttpException – if the HTTP request returns an error

Returns
-

the requests Response object

+

the requests Response object

Return type
-

requests.Response

+

requests.Response

-post(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response
-

Makes a requests POST call, checks for errors, and returns the response.

+post(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response +

Makes a requests POST call, checks for errors, and returns the response.

Parameters

  • path (str) – relative path, e.g. "users"

  • *additional_paths (list(str), optional) – any additional path components

    • -

  • **kwargs (dict) – any additional kwargs to send to requests

    • +

  • **kwargs (dict) – any additional kwargs to send to requests

Raises

exceptions.PineClientHttpException – if the HTTP request returns an error

Returns
-

the requests Response object

+

the requests Response object

Return type
-

requests.Response

+

requests.Response

-delete(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response
-

Makes a requests DELETE call, checks for errors, and returns the response.

+delete(self, path: str, *additional_paths: List[str], **kwargs) → requests.Response +

Makes a requests DELETE call, checks for errors, and returns the response.

Parameters

  • path (str) – relative path, e.g. "users"

  • *additional_paths (list(str), optional) – any additional path components

    • -

  • **kwargs (dict) – any additional kwargs to send to requests

    • +

  • **kwargs (dict) – any additional kwargs to send to requests

Raises

exceptions.PineClientHttpException – if the HTTP request returns an error

Returns
-

the requests Response object

+

the requests Response object

Return type
-

requests.Response

+

requests.Response

@@ -4498,10 +4728,10 @@ are fully aware of the security consequences

mongo :pymongo.MongoClient
-

The pymongo.mongo_client.MongoClient instance.

+

The pymongo.mongo_client.MongoClient instance.

Type
-

pymongo.mongo_client.MongoClient

+

pymongo.mongo_client.MongoClient

@@ -4509,10 +4739,10 @@ are fully aware of the security consequences

mongo_db :pymongo.database.Database
-

The pymongo.database.Database instance.

+

The pymongo.database.Database instance.

Type
-

pymongo.database.Database

+

pymongo.database.Database

@@ -4929,6 +5159,23 @@ endpoint, e.g. containing fields “access_token”, “token_type”, “expire
+
+
+get_pipeline_status(self, pipeline_id: str) → dict
+

Returns status for the given pipeline.

+
+
Parameters
+

pipeline_id – str: pipeline ID

+
+
Returns
+

pipeline status

+
+
Return type
+

dict

+
+
+
+
collection_builder(self, **kwargs: dict) → pine.client.models.CollectionBuilder
@@ -4970,6 +5217,26 @@ endpoint, e.g. containing fields “access_token”, “token_type”, “expire
+
+
+archive_collection(self, collection_id: str, archive: bool = True) → dict
+

Archives or unarchives the given collection.

+
+
Parameters
+
    +

  • collection_id – str: the ID of the collection

    • +

  • archive – bool: whether to archive (True) or unarchive (False) the collection

    • +
+
+
Returns
+

updated collection information

+
+
Return type
+

dict

+
+
+
+
get_collection_permissions(self, collection_id: str) → pine.client.models.CollectionUserPermissions
@@ -5008,6 +5275,65 @@ endpoint, e.g. containing fields “access_token”, “token_type”, “expire
+
+
+get_collection_classifier(self, collection_id: str) → dict
+

Returns the classifier associated with the given collection.

+
+
Parameters
+

collection_id (str) – the ID of the collection

+
+
Returns
+

the classifier associated with the given collection

+
+
Return type
+

dict

+
+
+
+ +
+
+get_next_document(self, classifier_id: str) → str
+

Returns the ‘next’ document associated with the given classifier.

+

The next document is the one that the model suggests should be annotated by the logged-in +user next.

+
+
Parameters
+

classifier_id – str: ID of the classifier

+
+
Returns
+

the next document ID, or None if there are none left to annotate

+
+
Return type
+

str

+
+
+
+ +
+
+advance_next_document(self, classifier_id: str, document_id: str) → dict
+

Advances the ‘next’ document associated with the given classifier by marking the +given document as annotated.

+

The next document is the one that the model suggests should be annotated by the logged-in +user next.

+
+
Parameters
+
    +

  • classifier_id – str: ID of the classifier

    • +

  • document_id – str: the ID of the document that was annotated

    • +
+
+
Returns
+

information on the advanced instance

+
+
Return type
+

dict

+
+
+
+
add_document(self, document: dict = {}, creator_id: str = None, collection_id: str = None, overlap: int = None, text: str = None, metadata: dict = None) → str
@@ -5168,6 +5494,54 @@ This should only be
+
+
+get_my_document_annotations(self, document_id: str) → List[List[dict]]
+

Returns annotations for the given document for the logged in user.

+
+
Parameters
+

document_id – the ID of the document to get annotations for

+
+
Raises
+
+
+
Returns
+

the annotations for the given document for the logged in user

+
+
Return type
+

list(list(dict))

+
+
+
+ +
+
+get_others_document_annotations(self, document_id: str) → List[List]
+

Returns annotations for the given document for users other than the logged in user.

+
+
Parameters
+

document_id – the ID of the document to get annotations for

+
+
Raises
+
+
+
Returns
+

the annotations for the given document for users other than the logged in user

+
+
Return type
+

list(list(dict))

+
+
+
+
list_collections(self, include_archived: bool = False) → List[dict]
@@ -5191,6 +5565,23 @@ This should only be
+
+
+get_collection(self, collection_id: str) → dict
+

Returns the collection with the given ID.

+
+
Parameters
+

collection_id – str: the ID of the collection

+
+
Returns
+

the collection data

+
+
Return type
+

dict

+
+
+
+
get_collection_iaa_report(self, collection_id: str) → dict
@@ -5244,6 +5635,98 @@ collection doesn’t exist

+
+
+get_classifier_status(self, classifier_id: str) → dict
+

Returns the status for the given classifier.

+
+
Param
+

classifier_id: str: classifier ID

+
+
Returns
+

status for the given classifier

+
+
Return type
+

dict

+
+
+
+ +
+
+classifier_train(self, classifier_id: str, model_name: str = 'auto-trained') → dict
+

Trains the given classifier (using collection documents).

+

Note that training is done asynchronously, so this method should return very quickly. One +of the things returned in the dict will be a job ID. If you want to know when the training +has finished, you can periodically poll get_classifier_running_jobs() and check +for that job ID.

+
+
Parameters
+
    +

  • classifier_id – str: classifier ID

    • +

  • model_name – str: name of model corresponding to filename on disk, defaults to +"auto-trained" which is the same as the annotation-based +model training

    • +
+
+
Return type
+

dict

+
+
+
+ +
+
+classifier_has_trained(self, classifier_id: str) → bool
+

Returns whether the given classifier has been trained or not.

+

If False, future calls to predict will fail.

+
+
Param
+

classifier_id: str: classifier ID

+
+
Return type
+

bool

+
+
+
+ +
+
+classifier_predict(self, classifier_id, document_ids: List[str], texts: List[str], timeout_in_s: int = 36000) → dict
+

Runs classifier prediction on the given documents. At least one of document_ids and +texts must be non-empty.

+

This prediction uses the last-trained model name for that classifier. This method will +block until the prediction has finished and then return the results.

+
+
Parameters
+
    +

  • classifier_id – str: classifier ID

    • +

  • document_ids – list[str]: a list of document IDs to run prediction on

    • +

  • texts – list[str]: a list of direct document texts to run prediction on

    • +

  • timeout_in_s – int: max timeout in seconds before erroring out and returning, defaults +to 36000

    • +
+
+
Return type
+

dict

+
+
+
+ +
+
+get_classifier_running_jobs(self, classifier_id: str) → List[str]
+

Gets the list of running job IDs for the given classifier.

+
+
Parameters
+

classifier_id – str: classifier ID

+
+
Return type
+

list[str]

+
+
+
+
@@ -5328,7 +5811,7 @@ are fully aware of the security consequences

-exception pine.client.exceptions.PineClientHttpException(method: str, path: str, resp: requests.Response)
+exception pine.client.exceptions.PineClientHttpException(method: str, path: str, resp: requests.Response)

Bases: pine.client.exceptions.PineClientException

A PINE client exception caused by an underlying HTTP exception.

Constructor.

@@ -5337,17 +5820,17 @@ are fully aware of the security consequences

resp :requests.Response
-

The Response with the error info

+

The Response with the error info

Type
-

requests.Response

+

requests.Response

@@ -6795,6 +7278,23 @@ endpoint, e.g. containing fields “access_token”, “token_type”, “expire
+
+
+get_pipeline_status(self, pipeline_id: str) → dict
+

Returns status for the given pipeline.

+
+
Parameters
+

pipeline_id – str: pipeline ID

+
+
Returns
+

pipeline status

+
+
Return type
+

dict

+
+
+
+
collection_builder(self, **kwargs: dict) → pine.client.models.CollectionBuilder
@@ -6836,6 +7336,26 @@ endpoint, e.g. containing fields “access_token”, “token_type”, “expire
+
+
+archive_collection(self, collection_id: str, archive: bool = True) → dict
+

Archives or unarchives the given collection.

+
+
Parameters
+
    +

  • collection_id – str: the ID of the collection

    • +

  • archive – bool: whether to archive (True) or unarchive (False) the collection

    • +
+
+
Returns
+

updated collection information

+
+
Return type
+

dict

+
+
+
+
get_collection_permissions(self, collection_id: str) → pine.client.models.CollectionUserPermissions
@@ -6874,6 +7394,65 @@ endpoint, e.g. containing fields “access_token”, “token_type”, “expire
+
+
+get_collection_classifier(self, collection_id: str) → dict
+

Returns the classifier associated with the given collection.

+
+
Parameters
+

collection_id (str) – the ID of the collection

+
+
Returns
+

the classifier associated with the given collection

+
+
Return type
+

dict

+
+
+
+ +
+
+get_next_document(self, classifier_id: str) → str
+

Returns the ‘next’ document associated with the given classifier.

+

The next document is the one that the model suggests should be annotated by the logged-in +user next.

+
+
Parameters
+

classifier_id – str: ID of the classifier

+
+
Returns
+

the next document ID, or None if there are none left to annotate

+
+
Return type
+

str

+
+
+
+ +
+
+advance_next_document(self, classifier_id: str, document_id: str) → dict
+

Advances the ‘next’ document associated with the given classifier by marking the +given document as annotated.

+

The next document is the one that the model suggests should be annotated by the logged-in +user next.

+
+
Parameters
+
    +

  • classifier_id – str: ID of the classifier

    • +

  • document_id – str: the ID of the document that was annotated

    • +
+
+
Returns
+

information on the advanced instance

+
+
Return type
+

dict

+
+
+
+
add_document(self, document: dict = {}, creator_id: str = None, collection_id: str = None, overlap: int = None, text: str = None, metadata: dict = None) → str
@@ -7034,6 +7613,54 @@ This should only be
+
+
+get_my_document_annotations(self, document_id: str) → List[List[dict]]
+

Returns annotations for the given document for the logged in user.

+
+
Parameters
+

document_id – the ID of the document to get annotations for

+
+
Raises
+
+
+
Returns
+

the annotations for the given document for the logged in user

+
+
Return type
+

list(list(dict))

+
+
+
+ +
+
+get_others_document_annotations(self, document_id: str) → List[List]
+

Returns annotations for the given document for users other than the logged in user.

+
+
Parameters
+

document_id – the ID of the document to get annotations for

+
+
Raises
+
+
+
Returns
+

the annotations for the given document for users other than the logged in user

+
+
Return type
+

list(list(dict))

+
+
+
+
list_collections(self, include_archived: bool = False) → List[dict]
@@ -7057,6 +7684,23 @@ This should only be
+
+
+get_collection(self, collection_id: str) → dict
+

Returns the collection with the given ID.

+
+
Parameters
+

collection_id – str: the ID of the collection

+
+
Returns
+

the collection data

+
+
Return type
+

dict

+
+
+
+
get_collection_iaa_report(self, collection_id: str) → dict
@@ -7110,6 +7754,98 @@ collection doesn’t exist

+
+
+get_classifier_status(self, classifier_id: str) → dict
+

Returns the status for the given classifier.

+
+
Param
+

classifier_id: str: classifier ID

+
+
Returns
+

status for the given classifier

+
+
Return type
+

dict

+
+
+
+ +
+
+classifier_train(self, classifier_id: str, model_name: str = 'auto-trained') → dict
+

Trains the given classifier (using collection documents).

+

Note that training is done asynchronously, so this method should return very quickly. One +of the things returned in the dict will be a job ID. If you want to know when the training +has finished, you can periodically poll get_classifier_running_jobs() and check +for that job ID.

+
+
Parameters
+
    +

  • classifier_id – str: classifier ID

    • +

  • model_name – str: name of model corresponding to filename on disk, defaults to +"auto-trained" which is the same as the annotation-based +model training

    • +
+
+
Return type
+

dict

+
+
+
+ +
+
+classifier_has_trained(self, classifier_id: str) → bool
+

Returns whether the given classifier has been trained or not.

+

If False, future calls to predict will fail.

+
+
Param
+

classifier_id: str: classifier ID

+
+
Return type
+

bool

+
+
+
+ +
+
+classifier_predict(self, classifier_id, document_ids: List[str], texts: List[str], timeout_in_s: int = 36000) → dict
+

Runs classifier prediction on the given documents. At least one of document_ids and +texts must be non-empty.

+

This prediction uses the last-trained model name for that classifier. This method will +block until the prediction has finished and then return the results.

+
+
Parameters
+
    +

  • classifier_id – str: classifier ID

    • +

  • document_ids – list[str]: a list of document IDs to run prediction on

    • +

  • texts – list[str]: a list of direct document texts to run prediction on

    • +

  • timeout_in_s – int: max timeout in seconds before erroring out and returning, defaults +to 36000

    • +
+
+
Return type
+

dict

+
+
+
+ +
+
+get_classifier_running_jobs(self, classifier_id: str) → List[str]
+

Gets the list of running job IDs for the given classifier.

+
+
Parameters
+

classifier_id – str: classifier ID

+
+
Return type
+

list[str]

+
+
+
+
@@ -7652,6 +8388,26 @@ defaults to Noneprocessing_queue_key_timeout
+
+
+results_queue_key
+
+ +
+
+results_queue_key_timeout
+
+ +
+
+running_jobs_key
+
+ +
+
+classifiers_training_key
+
+
processing_lock_key
@@ -7687,16 +8443,6 @@ defaults to Noneregistration_channel
-
-
-classmethod publish_response(cls, channel, data)
-
-
Return type
-

bool

-
-
-
-
start_workers(self)
@@ -7717,9 +8463,29 @@ defaults to None
+
+
+static do_with_redis(callback: Callable[[redis.StrictRedis], typing.Any])
+
+ +
+
+static push_results(job_id: str, response)
+
+ +
+
+static wait_until_classifier_isnt_training(classifier_id: str, job_id: str)
+
+ +
+
+static classifier_is_done_training(classifier_id: str)
+
+
-static process_message(job_details)
+static process_message(job_id: str, job_details)
@@ -7890,6 +8656,11 @@ defaults to NoneREDIS_EXPIRE = 3600
+
+
+REDIS_MAX_PROCESSES = 10
+
+
SCHEDULER_REGISTRATION_TIMEOUT
@@ -8183,18 +8954,57 @@ The prefix can be used to avoid blindy changing values and target a subset of ma
-get_items(self, resource)
+get_items(self, resource, params={}) +
+ +
+
+_get_documents_map(self, params: dict = {})
-get_documents(self, collection_id)
+get_documents(self, collection_id: str) → Dict[str, str] +

Returns a document map where the document overlap is 0.

+
+
Parameters
+

collection_id – str: the ID of the collection

+
+
Returns
+

a mapping from document ID to document text for non-overlap documents

+
+
Return type
+

dict

+
+
+
+ +
+
+get_documents_by_id(self, document_ids: List[str])
-get_docs_with_annotations(self, collection_id, doc_map)
-
+get_docs_with_annotations(self, collection_id: str, doc_map: Dict[str, str]) → Tuple[typing.List[str], typing.List[str], typing.List[str], typing.List[str]] +

Gets document and annotation data. Only non-overlapping documents are returned.

+
+
Parameters
+
    +

  • collection_id – str: the ID of the collection

    • +

  • doc_map – dict[str, str]: map of document IDs to document text

    • +
+
+
Returns
+

(documents, labels, doc_ids, ann_ids) where documents is a list of the texts, +labels is a list of the annotations, doc_ids is a list of the document IDs, and +ann_ids is a list of the annotation IDs

+
+
Return type
+

tuple

+
+
+
@@ -8312,20 +9122,43 @@ The prefix can be used to avoid blindy changing values and target a subset of ma
class pine.pipelines.NER_API.ner_api

Bases: object

+
+
+status(self, classifier_id: str, pipeline_name: str) → dict
+
+
-perform_fold(self, model, train_data, test_data, pipeline_parameters)
+perform_fold(self, model: pine.pipelines.pmap_ner.NER, train_data, test_data, **pipeline_parameters)
-perform_five_fold(self, model, documents, annotations, doc_ids, pipeline_parameters)
+perform_five_fold(self, model: pine.pipelines.pmap_ner.NER, documents, annotations, doc_ids, **pipeline_parameters)
-get_document_ranking(self, model, doc_map, doc_ids)
-
+get_document_ranking(self, model: pine.pipelines.pmap_ner.NER, doc_map: Dict[str, str], doc_ids: List[str]) → List[str] +

Calculates document rankings and returns document IDs sorted by ranking.

+

The ranking should be which documents should be evaluated first. This probably +corresponds in some ways to the documents which the model is least confident about.

+
+
Parameters
+
    +

  • model – NER model

    • +

  • doc_map – dict: mapping of document IDs to document text where overlap is 0

    • +

  • doc_ids – list: IDs of documents where ???

    • +
+
+
Returns
+

sorted document IDs

+
+
Return type
+

list

+
+
+
@@ -8339,7 +9172,7 @@ The prefix can be used to avoid blindy changing values and target a subset of ma
-predict(self, classifier_id, pipeline_name, documents, document_ids)
+predict(self, classifier_id: str, pipeline_name: str, document_ids: List[str], texts: List[str])
@@ -8359,35 +9192,40 @@ The prefix can be used to avoid blindy changing values and target a subset of ma -

rank(results, metric)

+

rank(document_ids: List[str], results: List[DocumentPredictionProbabilities], metric: str) → List[Tuple[str, float]]

if metric == ‘lc’: return least_confidence(results)

-

least_confidence(results)

+

least_confidence(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]

-

least_confidence_squared(results)

+

least_confidence_squared(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]

-

least_confidence_squared_by_entity(results)

+

least_confidence_squared_by_entity(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]

-

largest_margin(results)

+

largest_margin(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]

-

entropy_rank(results, N=None)

+

entropy_rank(document_ids: List[str], results: List[DocumentPredictionProbabilities], N=None) → List[Tuple[str, float]]

-

random_rank(results)

+

random_rank(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]

-

most_of_least_popular(results)

+

most_of_least_popular(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]

+
+
+pine.pipelines.RankingFunctions.logger
+
+
-pine.pipelines.RankingFunctions.rank(results, metric)
+pine.pipelines.RankingFunctions.rank(document_ids: List[str], results: List[DocumentPredictionProbabilities], metric: str) → List[Tuple[str, float]]

if metric == ‘lc’: return least_confidence(results) if metric == ‘ma’: return largest_margin(results) if metric == ‘en’: return entropy_rank(results) @@ -8401,37 +9239,37 @@ return -1

-pine.pipelines.RankingFunctions.least_confidence(results)
+pine.pipelines.RankingFunctions.least_confidence(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]
-pine.pipelines.RankingFunctions.least_confidence_squared(results)
+pine.pipelines.RankingFunctions.least_confidence_squared(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]
-pine.pipelines.RankingFunctions.least_confidence_squared_by_entity(results)
+pine.pipelines.RankingFunctions.least_confidence_squared_by_entity(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]
-pine.pipelines.RankingFunctions.largest_margin(results)
+pine.pipelines.RankingFunctions.largest_margin(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]
-pine.pipelines.RankingFunctions.entropy_rank(results, N=None)
+pine.pipelines.RankingFunctions.entropy_rank(document_ids: List[str], results: List[DocumentPredictionProbabilities], N=None) → List[Tuple[str, float]]
-pine.pipelines.RankingFunctions.random_rank(results)
+pine.pipelines.RankingFunctions.random_rank(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]
+pine.pipelines.RankingFunctions.most_of_least_popular(document_ids: List[str], results: List[DocumentPredictionProbabilities]) → List[Tuple[str, float]]
@@ -8508,24 +9346,44 @@ return -1

__props
+
+
+__is_setup = False
+
+
__id
+
+
+__default_fit_params
+
+ +
+
+classmethod setup(cls, java_dir=None, ner_path=None)
+
+ +
+
+status(self) → dict
+
+
-fit(self, X, y, params=None)
+fit(self, X, y, **params)
-predict(self, X, Xid)
+predict(self, X: Iterable[str]) → List[DocumentPredictions]
-predict_proba(self, X, Xid, get_all_labels=False, include_other=False)
+predict_proba(self, X: Iterable[str], get_all_labels=False, include_other=False, **kwargs) → List[DocumentPredictionProbabilities]
@@ -8605,8 +9463,8 @@ return -1

class pine.pipelines.opennlp_NER_pipeline.opennlp_NER(java_dir=None, ner_path=None, tmp_dir=None)

Bases: pine.pipelines.pipeline.Pipeline

-
-__jar =
+
+__ner_path =
@@ -8644,19 +9502,34 @@ return -1

__id
+
+
+__is_setup = False
+
+ +
+
+classmethod setup(cls, java_dir=None, ner_path=None)
+
+ +
+
+status(self) → dict
+
+
-fit(self, X, y, params)
+fit(self, X, y, **params)
-predict(self, X, Xid)
+predict(self, X: Iterable[str]) → List[DocumentPredictions]
-predict_proba(self, X, Xid, get_all_labels=False, include_other=False)
+predict_proba(self, X: Iterable[str], **kwargs) → List[DocumentPredictionProbabilities]
@@ -8696,7 +9569,7 @@ return -1

-convert_ann_collection_to_per_token(self, annotations, tokens)
+convert_ann_collection_to_per_token(self, annotations: List[Union[NerPrediction, typing.Tuple[int, int, str]]], tokens)
@@ -8726,28 +9599,99 @@ return -1

+

NerPrediction

+

+ +

DocumentPredictions

+

+ +

NerPredictionProbabilities

+

+ +

DocumentPredictionProbabilities

+

+

Pipeline

+
+
+class pine.pipelines.pipeline.NerPrediction(offset_start: int, offset_end: int, label: str)
+

Bases: object

+
+
+serialize(self) → Tuple[int, int, str]
+
+ +
+ +
+
+class pine.pipelines.pipeline.DocumentPredictions(ner: List[NerPrediction], doc: List[str], extra_data: Any = None)
+

Bases: object

+
+
+serialize(self) → dict
+
+ +
+ +
+
+class pine.pipelines.pipeline.NerPredictionProbabilities(offset_start: int, offset_end: int, predictions: List[Tuple[str, float]])
+

Bases: object

+
+
+get_highest_prediction(self) → Tuple[str, float]
+
+ +
+
+get_predictions_from_highest_to_lowest(self) → List[Tuple[str, float]]
+
+ +
+
+serialize(self) → Tuple[int, int, typing.List[typing.Tuple[str, float]]]
+
+ +
+ +
+
+class pine.pipelines.pipeline.DocumentPredictionProbabilities(ner: List[NerPredictionProbabilities], doc: List[Tuple[str, float]])
+

Bases: object

+
+
+serialize(self) → dict
+
+ +
+
class pine.pipelines.pipeline.Pipeline

Bases: object

+
+
+abstract status(self) → dict
+
+
-abstract fit(self, X, y)
+abstract fit(self, X, y, **params)
-abstract predict(self, X, Xid)
+abstract predict(self, X: Iterable[str]) → List[DocumentPredictions]
-abstract predict_proba(self, X, Xid)
+abstract predict_proba(self, X: Iterable[str], **kwargs) → List[DocumentPredictionProbabilities]
@@ -8816,19 +9760,29 @@ return -1

pipe_init(self, x, **kwargs)
+
+
+property pipeline_class(self)
+
+ +
+
+status(self) → dict
+
+
-fit(self, X, y, kwargs)
+fit(self, X, y, **kwargs)
-predict(self, X, Xid)
+predict(self, X: Iterable[str]) → List[DocumentPredictions]
-predict_proba(self, X, Xid, **kwargs)
+predict_proba(self, X: Iterable[str], **kwargs) → List[DocumentPredictionProbabilities]
@@ -8843,7 +9797,7 @@ return -1

-save_model(self, model_path)
+save_model(self, model_name)
@@ -8880,10 +9834,20 @@ return -1

+
+
+pine.pipelines.spacy_NER_pipeline.logger
+
+
class pine.pipelines.spacy_NER_pipeline.spacy_NER(model_path=None)

Bases: pine.pipelines.pipeline.Pipeline

+
+
+__model
+
+
__nlp = []
@@ -8899,9 +9863,24 @@ return -1

__optimizer = []
+
+
+__default_fit_params
+
+ +
+
+_load_model(self, model_path=None)
+
+ +
+
+status(self) → dict
+
+
-fit(self, X, y, params=None)
+fit(self, X, y, **params)
@@ -8911,12 +9890,12 @@ return -1

-predict(self, X, Xid)
+predict(self, X: Iterable[str]) → List[DocumentPredictions]
-predict_proba(self, X, Xid)
+predict_proba(self, X: Iterable[str], **kwargs) → List[DocumentPredictionProbabilities]
@@ -8936,12 +9915,12 @@ return -1

-save_model(self, model_path)
+save_model(self, model_name)
-load_model(self, model_path)
+load_model(self, model_name)
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b/frontend/annotation/nginx/nlp-web-app.https.mustache @@ -20,8 +20,10 @@ server { location /api { include proxy_params; + proxy_set_header X-Forwarded-Prefix /api; rewrite ^/api(.*) $1 break; proxy_pass ${BACKEND_SERVER}; + proxy_redirect http://$http_host/ https://$http_host/; } } diff --git a/frontend/annotation/src/app/service/metrics/metrics.service.ts b/frontend/annotation/src/app/service/metrics/metrics.service.ts index 38a7642..c2ce121 100644 --- a/frontend/annotation/src/app/service/metrics/metrics.service.ts +++ b/frontend/annotation/src/app/service/metrics/metrics.service.ts @@ -5,7 +5,6 @@ import { map } from "rxjs/operators"; import { AuthService } from "../auth/auth.service"; import { BackendService } from "../backend/backend.service"; -import { DBClassifier, Classifier } from "../../model/classifier"; import { DBMetric, DBMetrics, Metric } from "../../model/metrics"; @Injectable({ @@ -15,9 +14,9 @@ export class MetricsService { constructor(private backend: BackendService, private auth: AuthService) { } - public getAllMetrics(): Observable { - return this.backend.get("/pipelines/metrics").pipe(map(Metric.fromDBItems)); - } +// public getAllMetrics(): Observable { +// return this.backend.get("/pipelines/metrics").pipe(map(Metric.fromDBItems)); +// } public getMetric(metric_id: string): Observable { return this.backend.get(`/pipelines/metrics/by_id/${metric_id}`).pipe(map(Metric.fromDB)); diff --git a/pipelines/Pipfile b/pipelines/Pipfile index ed86ca9..b91c947 100644 --- a/pipelines/Pipfile +++ b/pipelines/Pipfile @@ -1,4 +1,5 @@ # (C) 2019 The Johns Hopkins University Applied Physics Laboratory LLC. + [[source]] name = "pypi" url = "https://pypi.org/simple" @@ -19,6 +20,7 @@ spacy = "*" sklearn = "*" scikit-multilearn = "*" python-json-logger = "*" +overrides = "*" [requires] python_version = "3.6" diff --git a/pipelines/Pipfile.lock b/pipelines/Pipfile.lock index 1556d34..a18d1de 100644 --- a/pipelines/Pipfile.lock +++ b/pipelines/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "25ab5d00c7db50cedd4e5ffa1b72e5f3b604a1eac8cd6e69a1d0a35adbd826a1" + "sha256": "8daf42e30ea1629ba29f0aaec5d98bab899969be992a9168272abf3d5e57b080" }, "pipfile-spec": 6, "requires": { @@ -66,6 +66,21 @@ ], "version": "==3.0.4" }, + "click": { + "hashes": [ + "sha256:d2b5255c7c6349bc1bd1e59e08cd12acbbd63ce649f2588755783aa94dfb6b1a", + "sha256:dacca89f4bfadd5de3d7489b7c8a566eee0d3676333fbb50030263894c38c0dc" + ], + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'", + "version": "==7.1.2" + }, + "contextvars": { + "hashes": [ + "sha256:f38c908aaa59c14335eeea12abea5f443646216c4e29380d7bf34d2018e2c39e" + ], + "markers": "python_version < '3.7'", + "version": "==2.4" + }, "cymem": { "hashes": [ "sha256:5083b2ab5fe13ced094a82e0df465e2dbbd9b1c013288888035e24fd6eb4ed01", @@ -121,6 +136,14 @@ "index": "pypi", "version": "==0.29.16" }, + "dataclasses": { + "hashes": [ + "sha256:0201d89fa866f68c8ebd9d08ee6ff50c0b255f8ec63a71c16fda7af82bb887bf", + "sha256:8479067f342acf957dc82ec415d355ab5edb7e7646b90dc6e2fd1d96ad084c97" + ], + "markers": "python_version < '3.7'", + "version": "==0.8" + }, "idna": { "hashes": [ "sha256:7588d1c14ae4c77d74036e8c22ff447b26d0fde8f007354fd48a7814db15b7cb", @@ -128,6 +151,27 @@ ], "version": "==2.9" }, + "immutables": { + "hashes": [ + "sha256:141c2e9ea515a3a815007a429f0b47a578ebeb42c831edaec882a245a35fffca", + "sha256:2283a93c151566e6830aee0e5bee55fc273455503b43aa004356b50f9182092b", + "sha256:3035849accee4f4e510ed7c94366a40e0f5fef9069fbe04a35f4787b13610a4a", + "sha256:3713ab1ebbb6946b7ce1387bb9d1d7f5e09c45add58c2a2ee65f963c171e746b", + "sha256:3b15c08c71c59e5b7c2470ef949d49ff9f4263bb77f488422eaa157da84d6999", + "sha256:6728f4392e3e8e64b593a5a0cd910a1278f07f879795517e09f308daed138631", + "sha256:6f117d9206165b9dab8fd81c5129db757d1a044953f438654236ed9a7a4224ae", + "sha256:8703d8abfd8687932f2a05f38e7de270c3a6ca3bd1c1efb3c938656b3f2f985a", + "sha256:a0a4e4417d5ef4812d7f99470cd39347b58cb927365dd2b8da9161040d260db0", + "sha256:b04fa69174e0c8f815f9c55f2a43fc9e5a68452fab459a08e904a74e8471639f", + "sha256:b75ade826920c4e490b1bb14cf967ac14e61eb7c5562161c5d7337d61962c226", + "sha256:b7e13c061785e34f73c4f659861f1b3e4a5fd918e4395c84b21c4e3d449ebe27", + "sha256:b8ad986f9b532c026f19585289384b0769188fcb68b37c7f0bd0df9092a6ca54", + "sha256:cbe8c64640637faa5535d539421b293327f119c31507c33ca880bd4f16035eb6", + "sha256:f0836cd3bdc37c8a77b192bbe5f41dbcc3ce654db048ebbba89bdfe6db7a1c7a" + ], + "markers": "python_version >= '3.5'", + "version": "==0.15" + }, "importlib-metadata": { "hashes": [ "sha256:2a688cbaa90e0cc587f1df48bdc97a6eadccdcd9c35fb3f976a09e3b5016d90f", @@ -136,6 +180,14 @@ "markers": "python_version < '3.8'", "version": "==1.6.0" }, + "jinja2": { + "hashes": [ + "sha256:1f06f2da51e7b56b8f238affdd6b4e2c61e39598a378cc49345bc1bd42a978a4", + "sha256:703f484b47a6af502e743c9122595cc812b0271f661722403114f71a79d0f5a4" + ], + "markers": "python_version >= '3.6'", + "version": "==3.0.1" + }, "joblib": { "hashes": [ "sha256:0630eea4f5664c463f23fbf5dcfc54a2bc6168902719fa8e19daf033022786c8", @@ -143,6 +195,46 @@ ], "version": "==0.14.1" }, + "markupsafe": { + "hashes": [ + "sha256:01a9b8ea66f1658938f65b93a85ebe8bc016e6769611be228d797c9d998dd298", + "sha256:023cb26ec21ece8dc3907c0e8320058b2e0cb3c55cf9564da612bc325bed5e64", + "sha256:0446679737af14f45767963a1a9ef7620189912317d095f2d9ffa183a4d25d2b", + "sha256:0717a7390a68be14b8c793ba258e075c6f4ca819f15edfc2a3a027c823718567", + "sha256:0955295dd5eec6cb6cc2fe1698f4c6d84af2e92de33fbcac4111913cd100a6ff", + "sha256:10f82115e21dc0dfec9ab5c0223652f7197feb168c940f3ef61563fc2d6beb74", + "sha256:1d609f577dc6e1aa17d746f8bd3c31aa4d258f4070d61b2aa5c4166c1539de35", + "sha256:2ef54abee730b502252bcdf31b10dacb0a416229b72c18b19e24a4509f273d26", + 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], + "markers": "python_version >= '3.6'", + "version": "==2.0.1" + }, "multiprocessing-logging": { "hashes": [ "sha256:9d3eb0f1f859b7ba6250a029726f77a7701999deda939595122d8748751de2e3" @@ -205,6 +297,30 @@ ], "version": "==1.18.2" }, + "overrides": { + "hashes": [ + "sha256:33926e018a952b06309517b3febede982112b86430e588bdd00560b80a4a800b", + "sha256:5ba636b73bf72d3d80550f4a5dfe3c7d04ec6e8fd246c4074bfc7ad82bd0ea3d" + ], + "index": "pypi", + "version": "==6.1.0" + }, + "packaging": { + "hashes": [ + "sha256:5b327ac1320dc863dca72f4514ecc086f31186744b84a230374cc1fd776feae5", + "sha256:67714da7f7bc052e064859c05c595155bd1ee9f69f76557e21f051443c20947a" + ], + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", + "version": "==20.9" + }, + "pathy": { + "hashes": [ + "sha256:bffa0bd74c66575cf51c96d3ab312f34d08d6bff54aabb8c7a2b9f8b701fe6ef", + "sha256:f83f1eddf77dd86e824143eef8d9adbe0785c3cdd5ec0ed6c0edea3227385048" + ], + "markers": "python_version >= '3.6'", + "version": "==0.6.0" + }, "pebble": { "hashes": [ "sha256:077b51bcb8726ad9003214fb268fe8c51778503f4c37ffcea9a905ab97e23473", @@ -241,6 +357,34 @@ ], "version": "==3.0.2" }, + "pydantic": { + "hashes": [ + "sha256:00250e5123dd0b123ff72be0e1b69140e0b0b9e404d15be3846b77c6f1b1e387", + "sha256:0a1abcbd525fbb52da58c813d54c2ec706c31a91afdb75411a73dd1dec036595", + "sha256:115d8aa6f257a1d469c66b6bfc7aaf04cd87c25095f24542065c68ebcb42fe63", + "sha256:1f86d4da363badb39426a0ff494bf1d8510cd2f7274f460eee37bdbf2fd495ec", + "sha256:2c44a9afd4c4c850885436a4209376857989aaf0853c7b118bb2e628d4b78c4e", + "sha256:3b8154babf30a5e0fa3aa91f188356763749d9b30f7f211fafb247d4256d7877", + "sha256:3c60039e84552442defbcb5d56711ef0e057028ca7bfc559374917408a88d84e", + "sha256:3ea1256a9e782149381e8200119f3e2edea7cd6b123f1c79ab4bbefe4d9ba2c9", + "sha256:47c5b1d44934375a3311891cabd450c150a31cf5c22e84aa172967bf186718be", + "sha256:4c1979d5cc3e14b35f0825caddea5a243dd6085e2a7539c006bc46997ef7a61a", + "sha256:4c92863263e4bd89e4f9cf1ab70d918170c51bd96305fe7b00853d80660acb26", + "sha256:66757d4e1eab69a3cfd3114480cc1d72b6dd847c4d30e676ae838c6740fdd146", + "sha256:6e7e314acb170e143c6f3912f93f2ec80a96aa2009ee681356b7ce20d57e5c62", + "sha256:80cc46378505f7ff202879dcffe4bfbf776c15675028f6e08d1d10bdfbb168ac", + "sha256:8857576600c32aa488f18d30833aa833b54a48e3bab3adb6de97e463af71f8f8", + "sha256:8ef77cd17b73b5ba46788d040c0e820e49a2d80cfcd66fda3ba8be31094fd146", + "sha256:a3026ee105b5360855e500b4abf1a1d0b034d88e75a2d0d66a4c35e60858e15b", + "sha256:a82385c6d5a77e3387e94612e3e34b77e13c39ff1295c26e3ba664e7b98073e2", + "sha256:d24aa3f7f791a023888976b600f2f389d3713e4f23b7a4c88217d3fce61cdffc", + "sha256:dda60d7878a5af2d8560c55c7c47a8908344aa78d32ec1c02d742ede09c534df", + "sha256:e28455b42a0465a7bf2cde5eab530389226ce7dc779de28d17b8377245982b1e", + "sha256:e87edd753da0ca1d44e308a1b1034859ffeab1f4a4492276bff9e1c3230db4fe" + ], + "markers": "python_version >= '3.6'", + "version": "==1.7.4" + }, "pydash": { "hashes": [ "sha256:a7733886ab811e36510b44ff1de7ccc980327d701fb444a4b2ce395e6f4a4a87", @@ -277,6 +421,14 @@ "index": "pypi", "version": "==1.2.1" }, + "pyparsing": { + "hashes": [ + "sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1", + "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b" + ], + "markers": "python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2, 3.3'", + "version": "==2.4.7" + }, "python-json-logger": { "hashes": [ "sha256:b7a31162f2a01965a5efb94453ce69230ed208468b0bbc7fdfc56e6d8df2e281" @@ -373,6 +525,14 @@ "index": "pypi", "version": "==0.0" }, + "smart-open": { + "hashes": [ + "sha256:2059b07f530c8c9e2158e4e1575309aacb74bd813da2325c1f348015d04f3bd6", + "sha256:e4dc1350b240ef0759e343e4e2f361bfd4e5477bb2619866e97f80240652e92e" + ], + "markers": "python_version >= '3.6'", + "version": "==5.1.0" + }, "spacy": { "hashes": [ "sha256:01202066f75c7f2cfeb9c167c3184b5b0a9d465604b0ca553bd9e788353c5905", @@ -389,6 +549,14 @@ "index": "pypi", "version": "==2.2.4" }, + "spacy-legacy": { + "hashes": [ + "sha256:3029826f8cdd0da11331917a389d53d586f274837f35ed24b9263297a4574f50", + "sha256:76d102a840cae96dbcc2637e5baca0c0c001e6c43b5879112c6b4431eb0efbdb" + ], + "markers": "python_version >= '3.6'", + "version": "==3.0.6" + }, "srsly": { "hashes": [ "sha256:18bad26c34cf5a8853fbf018fd168a7bf2ea7ce661e66476c25dac711cb79c9b", @@ -423,6 +591,14 @@ ], "version": "==7.4.0" }, + "threadpoolctl": { + "hashes": [ + "sha256:38b74ca20ff3bb42caca8b00055111d74159ee95c4370882bbff2b93d24da725", + "sha256:ddc57c96a38beb63db45d6c159b5ab07b6bced12c45a1f07b2b92f272aebfa6b" + ], + "markers": "python_version >= '3.5'", + "version": "==2.1.0" + }, "tqdm": { "hashes": [ "sha256:00339634a22c10a7a22476ee946bbde2dbe48d042ded784e4d88e0236eca5d81", @@ -430,6 +606,31 @@ ], "version": "==4.45.0" }, + "typer": { + "hashes": [ + "sha256:5455d750122cff96745b0dec87368f56d023725a7ebc9d2e54dd23dc86816303", + "sha256:ba58b920ce851b12a2d790143009fa00ac1d05b3ff3257061ff69dbdfc3d161b" + ], + "markers": "python_version >= '3.6'", + "version": "==0.3.2" + }, + "typing-extensions": { + "hashes": [ + "sha256:0ac0f89795dd19de6b97debb0c6af1c70987fd80a2d62d1958f7e56fcc31b497", + "sha256:50b6f157849174217d0656f99dc82fe932884fb250826c18350e159ec6cdf342", + "sha256:779383f6086d90c99ae41cf0ff39aac8a7937a9283ce0a414e5dd782f4c94a84" + ], + "markers": "python_version < '3.8'", + "version": "==3.10.0.0" + }, + "typing-utils": { + "hashes": [ + "sha256:6bd26f3d38a5dd526ca3a59f0a451ccb59bcee9dc829c872dd6c0aae4ec8bbef", + "sha256:8ff6b6705414b82575ad5ae0925ac414a9650fb8c5718289b1327dec61252f65" + ], + "markers": "python_full_version >= '3.6.1'", + "version": "==0.1.0" + }, "urllib3": { "hashes": [ "sha256:2f3db8b19923a873b3e5256dc9c2dedfa883e33d87c690d9c7913e1f40673cdc", diff --git a/pipelines/pine/pipelines/EveClient.py b/pipelines/pine/pipelines/EveClient.py index 1300cb7..ef21412 100644 --- a/pipelines/pine/pipelines/EveClient.py +++ b/pipelines/pine/pipelines/EveClient.py @@ -79,8 +79,14 @@ class EveClient(object): break return doc_map - def get_documents(self, collection_id: str) -> dict: - # get documents + def get_documents(self, collection_id: str) -> typing.Dict[str, str]: + """Returns a document map where the document overlap is 0. + + :param collection_id: str: the ID of the collection + + :returns: a mapping from document ID to document text for non-overlap documents + :rtype: dict + """ params = { "where": json.dumps({ "overlap": 0, @@ -99,7 +105,17 @@ class EveClient(object): } return self._get_documents_map(params) - def get_docs_with_annotations(self, collection_id, doc_map): + def get_docs_with_annotations(self, collection_id: str, doc_map: typing.Dict[str, str]) -> typing.Tuple[typing.List[str], typing.List[str], typing.List[str], typing.List[str]]: + """Gets document and annotation data. Only non-overlapping documents are returned. + + :param collection_id: str: the ID of the collection + :param doc_map: dict[str, str]: map of document IDs to document text + + :returns: (documents, labels, doc_ids, ann_ids) where documents is a list of the texts, + labels is a list of the annotations, doc_ids is a list of the document IDs, and + ann_ids is a list of the annotation IDs + :rtype: tuple + """ doc_ids = list() documents = [] ann_ids = list() diff --git a/pipelines/pine/pipelines/NERWrapper.py b/pipelines/pine/pipelines/NERWrapper.py index 711f0f8..39c7d5b 100644 --- a/pipelines/pine/pipelines/NERWrapper.py +++ b/pipelines/pine/pipelines/NERWrapper.py @@ -11,6 +11,8 @@ import uuid from .pmap_ner import NER from . import RankingFunctions as rank +# IMPORTANT: This class probably no longer works, but it doesn't seem to be used anywhere. + class NERWrapper: eve_headers = {'Content-Type': 'application/json'} diff --git a/pipelines/pine/pipelines/NER_API.py b/pipelines/pine/pipelines/NER_API.py index 695c1be..9596579 100644 --- a/pipelines/pine/pipelines/NER_API.py +++ b/pipelines/pine/pipelines/NER_API.py @@ -2,9 +2,12 @@ import logging import os +import typing import uuid + import numpy as np import pydash + from skmultilearn.model_selection import IterativeStratification from sklearn.preprocessing import MultiLabelBinarizer from itertools import chain @@ -25,13 +28,28 @@ class ner_api(object): logger.info("Saving models to {}".format(self.model_dir)) self.eve_client = EveClient() - def perform_fold(self, model, train_data, test_data, pipeline_parameters): - model.fit(train_data[0], train_data[1], pipeline_parameters) + def status(self, classifier_id: str, pipeline_name: str) -> dict: + classifier = NER(pipeline_name) + status = { + "pipeline_name": pipeline_name, + "classifier_id": classifier_id, + "model_dir": self.model_dir, + "eve_entry_point": self.eve_client.entry_point, + "classifier_class": classifier.pipeline_class, + "classifier": classifier.status() + } + if classifier_id: + classifier_obj, pipeline_obj, metrics_obj = self.get_classifier_pipeline_metrics_objs(classifier_id) + status["has_trained"] = "filename" in classifier_obj + return status + + def perform_fold(self, model: NER, train_data, test_data, **pipeline_parameters): + model.fit(train_data[0], train_data[1], **pipeline_parameters) results = model.evaluate(test_data[0], test_data[1], range(0, len(test_data[0]))) return results - def perform_five_fold(self, model, documents, annotations, doc_ids, pipeline_parameters): + def perform_five_fold(self, model: NER, documents, annotations, doc_ids, **pipeline_parameters): metrics = list() # store list of documents ids per fold folds = list() @@ -67,7 +85,7 @@ class ner_api(object): test_documents = documents_np_array[test_index] fold_metrics = self.perform_fold(model, [train_documents.tolist(), train_annotations.tolist()], - [test_documents.tolist(), test_annotations.tolist()], pipeline_parameters) + [test_documents.tolist(), test_annotations.tolist()], **pipeline_parameters) # saving docs used to train fold fold_doc_ids = doc_ids_np_array[train_index] @@ -112,18 +130,30 @@ class ner_api(object): return metrics, folds, average_metrics - def get_document_ranking(self, model, doc_map, doc_ids): + def get_document_ranking(self, model: NER, doc_map: typing.Dict[str, str], doc_ids: typing.List[str]) -> typing.List[str]: + """Calculates document rankings and returns document IDs sorted by ranking. + + The ranking should be which documents should be evaluated first. This probably + corresponds in some ways to the documents which the model is least confident about. + + :param model: NER model + :param doc_map: dict: mapping of document IDs to document text where overlap is 0 + :param doc_ids: list: IDs of documents where ??? + + :returns: sorted document IDs + :rtype: list + """ # re rank documents documents_no_anns = [] ids_no_anns = list(set(doc_map.keys()).difference(set(doc_ids))) - for id in ids_no_anns: - documents_no_anns.append(doc_map[id]) + for doc_id in ids_no_anns: + documents_no_anns.append(doc_map[doc_id]) # classifier.load_model(os.path.join(self.model_dir, filename)) # ranks = classifier.next_example(documents_no_anns, ids_no_anns) - results = model.predict_proba(documents_no_anns, ids_no_anns) - ranks = rank.least_confidence_squared(results) - return ranks + results = model.predict_proba(documents_no_anns) + ranks = rank.least_confidence_squared(ids_no_anns, results) + return [r[0] for r in ranks] def get_classifier_pipeline_metrics_objs(self, classifier_id): classifier_obj = self.eve_client.get_obj('classifiers', classifier_id) @@ -143,28 +173,32 @@ class ner_api(object): return classifier_obj, pipeline_obj, metrics_obj def train_model(self, custom_filename, classifier_id, pipeline_name): + logger.info("train_model called with custom_filename='{}' classifier_id='{}' pipeline_name='{}'".format( + custom_filename, classifier_id, pipeline_name)) # get classifier object classifier_obj, pipeline_obj, metrics_obj = self.get_classifier_pipeline_metrics_objs(classifier_id) collection_id = pydash.get(classifier_obj, 'collection_id', None) pipeline_parameters = pydash.get(classifier_obj, 'parameters', None) + logger.info("train_model collection_id='{}' pipeline_parameters='{}'".format( + collection_id, pipeline_parameters)) #get pipeline name # pipeline_name = pipeline_obj["name"] - # get documents + # get documents where overlap is 0 doc_map = self.eve_client.get_documents(collection_id) - # get documents with its annotations + # get documents with its annotations where overlap is 0 documents, labels, doc_ids, ann_ids = self.eve_client.get_docs_with_annotations(collection_id, doc_map) # instantiate model classifier = NER(pipeline_name) # get folds information - metrics, folds, averages = self.perform_five_fold(classifier, documents, labels, doc_ids, pipeline_parameters) + metrics, folds, averages = self.perform_five_fold(classifier, documents, labels, doc_ids, **pipeline_parameters) logger.info("Starting to train classifier for {} pipeline".format(pipeline_name)) - classifier.fit(documents, labels, pipeline_parameters) + classifier.fit(documents, labels, **pipeline_parameters) logger.info("Trained classifier for {} pipeline".format(pipeline_name)) @@ -203,8 +237,7 @@ class ner_api(object): logger.info("Updating next instances entry for current classifier") return self.eve_client.update('next_instances', id, etag, {'document_ids': ranks}) - def predict(self, classifier_id, pipeline_name, documents, document_ids): - + def predict(self, classifier_id: str, pipeline_name: str, document_ids: typing.List[str], texts: typing.List[str]): classifier_obj, pipeline_obj, metrics_obj = self.get_classifier_pipeline_metrics_objs(classifier_id) if classifier_obj is None: @@ -212,17 +245,36 @@ class ner_api(object): if 'filename' not in classifier_obj: raise Exception('No filename in classifier obj') + if document_ids == None: + document_ids = [] + if texts == None: + texts = [] + # pipeline_name=pipeline_obj["name"] + + # load documents + doc_map = self.eve_client.get_documents_by_id(document_ids) + documents = [] + for document_id in document_ids: + if document_id not in doc_map: + raise Exception("Unable to find document with ID {}".format(document_id)) + documents.append(doc_map[document_id]) filename = os.path.join(self.model_dir, pipeline_name, classifier_obj['filename']) if not os.path.exists(filename): - raise FileNotFoundError("No model with {} filename has been created".format(filename)) + raise FileNotFoundError("No model with {} filename has been created".format(filename)) classifier = NER(pipeline_name) classifier.load_model(filename) logger.info("Loaded classifier {}".format(classifier)) - if len(documents) == len(document_ids): - return classifier.predict(documents, document_ids) - else: - return None + predicted_documents = classifier.predict(documents) + predicted_documents_by_id = {} + for i, doc_id in enumerate(document_ids): + predicted_documents_by_id[doc_id] = predicted_documents[i].serialize() + predicted_texts = [p.serialize() for p in classifier.predict(texts)] + return { + "documents_by_id": predicted_documents_by_id, + "texts": predicted_texts + } + return classifier.predict(documents, document_ids) diff --git a/pipelines/pine/pipelines/RankingFunctions.py b/pipelines/pine/pipelines/RankingFunctions.py index cb12c43..769e6c7 100644 --- a/pipelines/pine/pipelines/RankingFunctions.py +++ b/pipelines/pine/pipelines/RankingFunctions.py @@ -1,207 +1,198 @@ # (C) 2019 The Johns Hopkins University Applied Physics Laboratory LLC. -import math, random +import logging +import math +import random +import typing -def rank(results, metric): - ''' - if metric == 'lc': return least_confidence(results) - if metric == 'ma': return largest_margin(results) - if metric == 'en': return entropy_rank(results) - if metric == 'lcs': return least_confidence_squared(results) - if metric == 'lce': return least_confidence_squared_by_entity(results) - if metric == 'ra': return random_rank(results) - if metric == 'mlp': return most_of_least_popular(results) - return -1 +from .pipeline import DocumentPredictionProbabilities - #Dictionary method is inefficient as it runs every method before returning one - ''' - return { - 'lc':least_confidence(results), - 'ma':largest_margin(results), - 'en':entropy_rank(results), - 'lcs':least_confidence_squared(results), - 'lce':least_confidence_squared_by_entity(results), - 'ra':random_rank(results), - 'mlp':most_of_least_popular(results) - }[metric] - +logger = logging.getLogger(__name__) -def least_confidence(results): - print('least confidence') - #returns average confidence in each document, ranked from lowest to highest - ranking = [] - for key in results: - confidence = 0 - numel = 0 - for ent in results[key]: - if type(ent[2]) is list: - ent[2].sort(key=lambda tup: tup[1], reverse=True) #sort from most to least confident - confidence += ent[2][0][1] - else: - confidence += ent[3] - numel += 1 - if numel > 0: - confidence /= numel - #print(confidence) - ranking.append((key, confidence)) - ranking.sort(key=lambda tup: tup[1]) - return ranking +def rank(document_ids: typing.List[str], results: typing.List[DocumentPredictionProbabilities], metric: str) -> typing.List[typing.Tuple[str, float]]: + ''' + if metric == 'lc': return least_confidence(results) + if metric == 'ma': return largest_margin(results) + if metric == 'en': return entropy_rank(results) + if metric == 'lcs': return least_confidence_squared(results) + if metric == 'lce': return least_confidence_squared_by_entity(results) + if metric == 'ra': return random_rank(results) + if metric == 'mlp': return most_of_least_popular(results) + return -1 -def least_confidence_squared(results): - print('least confidence squared') - #returns average squared confidence in each document, ranked from lowest to highest (hopefully prioritizes consistently low confidence over spotty) - ranking = [] - for key in results: - confidence = 0 - numel = 0 - for ent in results[key]: - if type(ent[2]) is list: - ent[2].sort(key=lambda tup: tup[1], reverse=True) #sort from most to least confident prediction - confidence += math.pow(ent[2][0][1], 2) - else: - confidence += math.pow(ent[3], 2) - numel += 1 - if numel > 0: - confidence /= numel - #print(confidence) - ranking.append((key, confidence)) - ranking.sort(key=lambda tup: tup[1]) - rank_res = [ranks[0] for ranks in ranking] - return rank_res + #Dictionary method is inefficient as it runs every method before returning one + ''' + return { + 'lc':least_confidence(results), + 'ma':largest_margin(results), + 'en':entropy_rank(results), + 'lcs':least_confidence_squared(results), + 'lce':least_confidence_squared_by_entity(results), + 'ra':random_rank(results), + 'mlp':most_of_least_popular(results) + }[metric] + -def least_confidence_squared_by_entity(results): - print('least confidence square by entity') - #returns average squared entity-confidence in each document (average confidence squared per entity), same idea as lcs but for individual entities - ranking = [] - for key in results: - confidences = {} - numels = {} - for ent in results[key]: - if type(ent[2]) is list: - ent[2].sort(key=lambda tup: tup[1], reverse=True) #sort from most to least confident prediction - pred_label = ent[2][0][0] - pred_prob = ent[2][0][1] - else: - pred_label = ent[2] - pred_prob = ent[3] - if pred_label not in confidences: - confidences[pred_label] = 0 - numels[pred_label] = 0 - confidences[pred_label] += pred_prob - numels[pred_label] += 1 - confidence = 0 - for label in confidences: - confidence += math.pow((confidences[label]/numels[label]), 2) - if len(confidences) > 0: - confidence /= len(confidences) - #print(confidence) - ranking.append((key, confidence)) - ranking.sort(key=lambda tup: tup[1]) - return ranking +def least_confidence(document_ids: typing.List[str], results: typing.List[DocumentPredictionProbabilities]) -> typing.List[typing.Tuple[str, float]]: + logger.info('least confidence') + #returns average confidence in each document, ranked from lowest to highest + ranking = [] + for (doc_id, result) in zip(document_ids, results): + confidence = 0 + numel = 0 + for ner in result.ner: + (_, pred) = ner.get_highest_prediction() #sort from most to least confident + confidence += pred + numel += 1 + if numel > 0: + confidence /= numel + #print(confidence) + ranking.append((doc_id, confidence)) + ranking.sort(key=lambda tup: tup[1]) + return ranking + +def least_confidence_squared(document_ids: typing.List[str], results: typing.List[DocumentPredictionProbabilities]) -> typing.List[typing.Tuple[str, float]]: + logger.info('least confidence squared') + #returns average squared confidence in each document, ranked from lowest to highest (hopefully prioritizes consistently low confidence over spotty) + ranking = [] + for (doc_id, result) in zip(document_ids, results): + confidence = 0 + numel = 0 + for ner in result.ner: + (_, pred) = ner.get_highest_prediction() #sort from most to least confident prediction + confidence += math.pow(pred, 2) + numel += 1 + if numel > 0: + confidence /= numel + #print(confidence) + ranking.append((doc_id, confidence)) + ranking.sort(key=lambda tup: tup[1]) + return ranking + +def least_confidence_squared_by_entity(document_ids: typing.List[str], results: typing.List[DocumentPredictionProbabilities]) -> typing.List[typing.Tuple[str, float]]: + logger.info('least confidence square by entity') + #returns average squared entity-confidence in each document (average confidence squared per entity), same idea as lcs but for individual entities + ranking = [] + for (doc_id, result) in zip(document_ids, results): + confidences = {} + numels = {} + for ner in result.ner: + (pred_label, pred_prob) = ner.get_highest_prediction() #sort from most to least confident prediction + if pred_label not in confidences: + confidences[pred_label] = 0 + numels[pred_label] = 0 + confidences[pred_label] += pred_prob + numels[pred_label] += 1 + confidence = 0 + for label in confidences: + confidence += math.pow((confidences[label]/numels[label]), 2) + if len(confidences) > 0: + confidence /= len(confidences) + #print(confidence) + ranking.append((doc_id, confidence)) + ranking.sort(key=lambda tup: tup[1]) + return ranking #WARNING: REQUIRES PROBABLITIES FOR ALL POSSIBLE LABELS PER TOKEN INSTEAD OF JUST MOST LIKELY -def largest_margin(results): - print('largest margin') - #returns average margin in each document, ranked from lowest to highest - ranking = [] - for key in results: - margin = 0 - numel = 0 - for ent in results[key]: - #if only most confident prediction is provided, cannot calculate margin - if type(ent[2]) is list: - ent[2].sort(key=lambda tup: tup[1], reverse=True) #sort from most to least confident prediction - margin += (ent[2][0][1] - ent[2][1][1]) - numel += 1 - - if numel > 0: - margin /= numel - #print(margin) - ranking.append((key, margin)) - ranking.sort(key=lambda tup: tup[1]) - return ranking +def largest_margin(document_ids: typing.List[str], results: typing.List[DocumentPredictionProbabilities]) -> typing.List[typing.Tuple[str, float]]: + logger.info('largest margin') + #returns average margin in each document, ranked from lowest to highest + ranking = [] + for (doc_id, result) in zip(document_ids, results): + margin = 0 + numel = 0 + for ner in result.ner: + #if only most confident prediction is provided, cannot calculate margin + if len(ner.predictions) > 1: + sorted_predictions = ner.get_predictions_from_highest_to_lowest() #sort from most to least confident prediction + margin += (sorted_predictions[0][1] - sorted_predictions[1][1]) + numel += 1 + + if numel > 0: + margin /= numel + #print(margin) + ranking.append((doc_id, margin)) + ranking.sort(key=lambda tup: tup[1]) + return ranking #WARNING: REQUIRES PROBABLITIES FOR ALL POSSIBLE LABELS PER TOKEN INSTEAD OF JUST MOST LIKELY -def entropy_rank(results, N=None): - print('entropy rank') - ranking = [] - for key in results: - entropy = 0 - numel = 0 - #TODO: check to ensure N is not larger than number of possible labels - for ent in results[key]: - #print(ent[2]) - #if only most confident prediction is provided, cannot calculate entropy - if type(ent[2]) is list: - ent[2].sort(key=lambda tup: tup[1], reverse=True) #sort from most to least confident prediction - for i in range(0, N if N is not None else len(ent[2])): - #print(str(i)) - prob = ent[2][i][1] - entropy += (prob*math.log(prob)) - entropy *= -1 - numel += 1 - if numel > 0: - entropy = entropy/numel - #print(margin) - ranking.append((key, entropy)) - ranking.sort(key=lambda tup: tup[1], reverse=True) - return ranking +def entropy_rank(document_ids: typing.List[str], results: typing.List[DocumentPredictionProbabilities], N=None) -> typing.List[typing.Tuple[str, float]]: + logger.info('entropy rank') + ranking = [] + for (doc_id, result) in zip(document_ids, results): + entropy = 0 + numel = 0 + #TODO: check to ensure N is not larger than number of possible labels + for ner in result.ner: + #print(ent[2]) + #if only most confident prediction is provided, cannot calculate entropy + if len(ner.predictions) > 1: + sorted_predictions = ner.get_predictions_from_highest_to_lowest() #sort from most to least confident prediction + for i in range(0, min(N, len(sorted_predictions)) if N is not None else len(sorted_predictions)): + #print(str(i)) + prob = sorted_predictions[i][1] + entropy += (prob*math.log(prob)) + entropy *= -1 + numel += 1 + if numel > 0: + entropy = entropy/numel + #print(margin) + ranking.append((doc_id, entropy)) + ranking.sort(key=lambda tup: tup[1], reverse=True) + return ranking -def random_rank(results): - print('random rank') - ranks = list(range(0, len(results))) - random.shuffle(ranks) - ranking = [] - for i,key in enumerate(results): - ranking.append((key, ranks[i])) +def random_rank(document_ids: typing.List[str], results: typing.List[DocumentPredictionProbabilities]) -> typing.List[typing.Tuple[str, float]]: + logger.info('random rank') + ranks = list(range(0, len(results))) + random.shuffle(ranks) + ranking = [] + for (i, doc_id) in enumerate(document_ids): + ner = results[ranks[i]].ner + ranking.append((doc_id, ner.get_highest_prediction()[1])) - ranking.sort(key=lambda tup: tup[1]) - return ranking + return ranking -def most_of_least_popular(results): - print('most of least popular') - doc_stats = [] - ranking = [] - popularity = {} - for key in results: - stats = {} - for ent in results[key]: - if type(ent[2]) is list: - ent[2].sort(key=lambda tup: tup[1], reverse=True) #sort from most to least confident prediction - predicted_label = ent[2][0][0] - else: - predicted_label = ent[2] - if predicted_label not in stats: - stats[predicted_label] = 0 - stats[predicted_label] += 1 +def most_of_least_popular(document_ids: typing.List[str], results: typing.List[DocumentPredictionProbabilities]) -> typing.List[typing.Tuple[str, float]]: + logger.info('most of least popular') + doc_stats = [] + ranking = [] + popularity = {} + for (doc_id, result) in zip(document_ids, results): + stats = {} + for ner in result.ner: + (predicted_label, _) = ner.get_highest_prediction() + if predicted_label not in stats: + stats[predicted_label] = 0 + stats[predicted_label] += 1 - doc_stats.append((key, stats)) - for label in stats: - if label not in popularity: - popularity[label] = 0 - popularity[label] += stats[label] - if 'O' in popularity: - del popularity['O'] - #ignores labels with 0 predicted instances... - #for every label, starting with least popular - for l in sorted(popularity, key=popularity.__getitem__): - label_rank = [] - for doc in doc_stats: - if l not in doc[1]: - doc[1][l] = 0 - label_rank.append((doc[0], doc[1][l])) - #sort all documents by predicted instances of that label - label_rank.sort(key=lambda tup: tup[1], reverse=True) + doc_stats.append((doc_id, stats)) + for label in stats: + if label not in popularity: + popularity[label] = 0 + popularity[label] += stats[label] + if 'O' in popularity: + del popularity['O'] + #ignores labels with 0 predicted instances... + #for every label, starting with least popular + for l in sorted(popularity, key=popularity.__getitem__): + label_rank = [] + for doc in doc_stats: + if l not in doc[1]: + doc[1][l] = 0 + label_rank.append((doc[0], doc[1][l])) + #sort all documents by predicted instances of that label + label_rank.sort(key=lambda tup: tup[1], reverse=True) - #go through the ranking for individual label in order from most to least instances - for lp in range(0, len(label_rank)): - doc_label_stats = label_rank[lp] #(doc_id, label_instances) - #append any documents with nonzero predicted instances in their respective order - if doc_label_stats[1] > 0: - ranking.append((doc_label_stats[0], [l, doc_label_stats[1]])) - #remove ranked document from pool - doc_stats = [d for d in doc_stats if d[0] != doc_label_stats[0]] - else: - break + #go through the ranking for individual label in order from most to least instances + for lp in range(0, len(label_rank)): + doc_label_stats = label_rank[lp] #(doc_id, label_instances) + #append any documents with nonzero predicted instances in their respective order + if doc_label_stats[1] > 0: + # TODO check what this is actually doing if we ever use this method + ranking.append((doc_label_stats[0], [l, doc_label_stats[1]])) + #remove ranked document from pool + doc_stats = [d for d in doc_stats if d[0] != doc_label_stats[0]] + else: + break - return ranking \ No newline at end of file + return ranking diff --git a/pipelines/pine/pipelines/app/listener/service_listener.py b/pipelines/pine/pipelines/app/listener/service_listener.py index 2b5704e..c11fb5e 100644 --- a/pipelines/pine/pipelines/app/listener/service_listener.py +++ b/pipelines/pine/pipelines/app/listener/service_listener.py @@ -1,5 +1,6 @@ #!/usr/bin/env python3 # -*- coding: utf-8 -*- + # ********************************************************************** # Copyright (C) 2018 Johns Hopkins University Applied Physics Laboratory # @@ -9,17 +10,21 @@ # clause 52.227-14 or DFARS clauses 252.227-7013/7014. # For any other permission, please contact the Legal Office at JHU/APL. # ********************************************************************** + import atexit import json import logging import threading +import traceback +import typing +import uuid from datetime import timedelta import pebble import pydash import redis import time -from pebble import concurrent +from pebble import concurrent, ProcessPool from ...shared.config import ConfigBuilder from ...NER_API import ner_api @@ -73,6 +78,10 @@ class ServiceListener(object): # Scheduled Keys processing_queue_key = config.REDIS_PREFIX + config.PIPELINE + "work-queue" processing_queue_key_timeout = timedelta(seconds=config.SERVICE_HANDLER_TIMEOUT * 2) # Timeout for queueing processing a job... + results_queue_key = config.REDIS_PREFIX + config.PIPELINE + ":work-results" + results_queue_key_timeout = timedelta(seconds=config.SERVICE_HANDLER_TIMEOUT * 2) + running_jobs_key = config.REDIS_PREFIX + config.PIPELINE + ":running-jobs" + classifiers_training_key = config.REDIS_PREFIX + config.PIPELINE + ":classifiers-training" # Mutexes Keys processing_lock_key = config.REDIS_PREFIX + "locks:processing" @@ -103,15 +112,6 @@ class ServiceListener(object): # make sure things are stopped properly atexit.register(self.stop_workers) - @classmethod - def publish_response(cls, channel, data): - """ - :type channel: str - :type data: dict - :rtype: bool - """ - pass - def start_workers(self): is_registration_thread_alive = isinstance(self.registration_thread, threading.Thread) and self.registration_thread.is_alive() is_channel_thread_alive = isinstance(self.channel_thread, threading.Thread) and self.channel_thread.is_alive() @@ -230,47 +230,106 @@ class ServiceListener(object): return job_data @staticmethod - @concurrent.process(timeout=processing_limit.seconds) - def process_message(job_details): + def do_with_redis(callback: typing.Callable[[redis.StrictRedis], typing.Any]): local_redis = redis.StrictRedis(host=config.REDIS_HOST, port=config.REDIS_PORT, charset="utf-8", decode_responses=True) time_to_spend_trying_to_acquire_lock = max(1, ServiceListener.processing_lock_key_timeout.total_seconds() // 2) + max_retries = 10 + retry = 0 + last_exception = None + while retry < max_retries: + try: + with local_redis.lock(ServiceListener.processing_lock_key, + timeout=ServiceListener.processing_lock_key_timeout.total_seconds(), + blocking_timeout=time_to_spend_trying_to_acquire_lock): + return callback(local_redis) + except redis.exceptions.LockError as e: + logger.exception("Unable to acquire lock in time") + retry += 1 + last_exception = e + # if we're here, we maxed out the retries + logger.error("Maxed out %s retries trying to connect to redis", max_retries) + raise last_exception + + @staticmethod + def push_results(job_id: str, response): + def callback(local_redis: redis.StrictRedis) -> None: + response_key = ServiceListener.results_queue_key + ":" + job_id + logger.info("Writing status to %s", response_key) + local_redis.rpush(response_key, json.dumps(response, separators=(",", ":"))) + local_redis.expire(response_key, ServiceListener.results_queue_key_timeout) + ServiceListener.do_with_redis(callback) + + @staticmethod + def wait_until_classifier_isnt_training(classifier_id: str, job_id: str): + def callback(local_redis: redis.StrictRedis) -> bool: + return local_redis.hexists(ServiceListener.classifiers_training_key, classifier_id) + while ServiceListener.do_with_redis(callback): + logger.info("classifier %s is already running a training job, sleeping 10 seconds", classifier_id) + time.sleep(10) + def callback_set(local_redis: redis.StrictRedis) -> None: + local_redis.hset(ServiceListener.classifiers_training_key, classifier_id, job_id) + ServiceListener.do_with_redis(callback_set) + + @staticmethod + def classifier_is_done_training(classifier_id: str): + def callback(local_redis: redis.StrictRedis): + return local_redis.hdel(ServiceListener.classifiers_training_key, classifier_id) + return ServiceListener.do_with_redis(callback) + + @staticmethod + def process_message(job_id: str, job_details): + logger.info("process_message starting for job %s", job_id) + + job_type = pydash.get(job_details, "type", None) + job_framework = pydash.get(job_details, "framework", None) + classifier_id = pydash.get(job_details, "classifier_id", None) + model_name = pydash.get(job_details, "model_name", None) + try: - with local_redis.lock(ServiceListener.processing_lock_key, - timeout=ServiceListener.processing_lock_key_timeout.total_seconds(), - blocking_timeout=time_to_spend_trying_to_acquire_lock): - job_type = pydash.get(job_details, "type", None) - job_framework = pydash.get(job_details, "framework", None) - classifier_id = pydash.get(job_details, "classifier_id", None) - - if job_type == "fit": - model_name = pydash.get(job_details, "model_name", None) + if job_type == "fit": + if not classifier_id: + raise ValueError("Need classifier_id to train") + ServiceListener.wait_until_classifier_isnt_training(classifier_id, job_id) + try: + logger.info("fit %s running", job_id) pipeline = ner_api() - try: - pipeline.train_model(model_name, classifier_id, job_framework) - except Exception as e: - logger.error("ERROR: Could not train classifier, error: {}".format(e)) - # TODO: return status to the front end, either by adding a redis listener or setting job status - # as failed in the database - logger.info('fit completed') - - elif job_type == "predict": - pipeline = ner_api() - documents = pydash.get(job_details, "documents", []) - doc_ids = pydash.get(job_details, "doc_ids", []) - try: - results = pipeline.predict(classifier_id, job_framework, documents, doc_ids) - except Exception as e: - logger.error("ERROR: Could not predict document annotations, error: {}".format(e)) - # TODO: return status, stating that were unable to execute a predict from the given parameters - - # TODO: return results through redis - - else: - logger.error("Service type, {}, unavailable".format(job_type)) - return - except redis.exceptions.LockError as e: - logger.info("Unable to acquire lock in time, re-scheduling job...") - local_redis.rpush(ServiceListener.processing_queue_key, json.dumps(job_details, separators=(",", ":"))) + pipeline.train_model(model_name, classifier_id, job_framework) + logger.info("fit %s finished", job_id) + finally: + ServiceListener.classifier_is_done_training(classifier_id) + + elif job_type == "predict": + logger.info("predict %s running", job_id) + document_ids = pydash.get(job_details, "document_ids", []) + texts = pydash.get(job_details, "texts", []) + pipeline = ner_api() + try: + results = pipeline.predict(classifier_id, job_framework, document_ids, texts) + ServiceListener.push_results(job_id, results) + except Exception as e: + results = { + "error": str(e) + } + ServiceListener.push_results(job_id, results) + raise e + finally: + logger.info("predict %s finished", job_id) + + elif job_type == "status": + logger.info("status %s running", job_id) + pipeline = ner_api() + status = pipeline.status(classifier_id, job_framework) + logger.info("Received status from job_framework=%s classifier_id=%s: %s", + job_framework, classifier_id, status) + ServiceListener.push_results(job_id, status) + logger.info("status %s finished", job_id) + + else: + logger.error("Service type, %s, unavailable", job_type) + + except Exception as e: + logger.exception("Exception processing %s job", job_type) + raise e def _start_registration_task(self): while not self.registration_exit_event.is_set(): @@ -307,16 +366,31 @@ class ServiceListener(object): self.listener_exit_event.wait(self.listener_poll.seconds) def _start_queue_processor_task(self): - while not self.queue_processor_exit_event.is_set(): - msg_in_queue = self.r_conn.lpop(self.processing_queue_key) - if not msg_in_queue: + with ProcessPool(max_workers=config.REDIS_MAX_PROCESSES) as pool: + self.r_conn.delete(self.running_jobs_key) # clear out running jobs since this is a new startup + while not self.queue_processor_exit_event.is_set(): + msg_in_queue = self.r_conn.lpop(self.processing_queue_key) + if not msg_in_queue: + self.queue_processor_exit_event.wait(self.processor_poll.seconds) + continue + try: + job_details = json.loads(msg_in_queue) + except (json.JSONDecodeError, TypeError): + logger.warning("Invalid Job Details Message") + continue + if "job_id" not in job_details: + job_details["job_id"] = str(uuid.uuid4()) + job_id = pydash.get(job_details, "job_id") + try: + logger.info("Received job id/details: %s/%s", job_id, job_details) + self.r_conn.sadd(self.running_jobs_key, job_id) + future = pool.schedule(ServiceListener.process_message, args=(job_id, job_details)) + logger.debug("Got future for %s: %s", job_id, future) + def finished(f): + logger.info("Job %s has finished; removing from running jobs list", job_id) + self.r_conn.srem(self.running_jobs_key, job_id) + future.add_done_callback(finished) + except Exception: + logger.exception("Exception processing message") + self.queue_processor_exit_event.wait(self.processor_poll.seconds) - continue - try: - job_details = json.loads(msg_in_queue) - except (json.JSONDecodeError, TypeError): - logger.warning("Invalid Job Details Message") - continue - # will allow one processor at a time (due to internal locking) - self.process_message(job_details) # type: pebble.ProcessFuture - self.queue_processor_exit_event.wait(self.processor_poll.seconds) diff --git a/pipelines/pine/pipelines/corenlp_NER_pipeline.py b/pipelines/pine/pipelines/corenlp_NER_pipeline.py index 23a2755..5a7eeba 100644 --- a/pipelines/pine/pipelines/corenlp_NER_pipeline.py +++ b/pipelines/pine/pipelines/corenlp_NER_pipeline.py @@ -4,11 +4,14 @@ import logging import os -from os.path import isfile, isdir, join +from os.path import abspath, isfile, isdir, join import textwrap +import typing import uuid -from .pipeline import Pipeline +from overrides import overrides + +from .pipeline import Pipeline, NerPrediction, DocumentPredictions, NerPredictionProbabilities, DocumentPredictionProbabilities from .shared.config import ConfigBuilder config = ConfigBuilder.get_config() @@ -36,61 +39,46 @@ class corenlp_NER(Pipeline): __props = None #class variables + __is_setup = False __id = None + __default_fit_params = None - #init() - #set tunable parameters - #TODO: Should probably make this more robust by inserting try/catch - def __init__(self, java_dir=None, ner_path=None, load_model=None, tmp_dir=None): - - self.__id = uuid.uuid4() - - if tmp_dir != None: - self.__temp_dir = tmp_dir - #can choose to dictate where the model will store files so that it doesn't overwrite any, - #otherwise it will write to a new directory within the resources folder - else: - self.__temp_dir = config.ROOT_DIR + '/tmp/' + str(self.__id) - - if not isdir(self.__temp_dir): - os.makedirs(self.__temp_dir) - logger.info("Using temp dir {}".format(self.__temp_dir)) - - self.__train_file = join(self.__temp_dir, 'corenlp_training.tsv') - self.__test_file = join(self.__temp_dir, 'corenlp_test_gold.tsv') - self.__model = join(self.__temp_dir, 'corenlp-ner-model.ser.gz') - - + @classmethod + def setup(cls, java_dir=None, ner_path=None): + if cls.__is_setup: + logger.info("Java is already set up.") + return + + logger.info("Setting up Java.") #TODO: set defaults for the following. #Point to location of JAVA installation if java_dir != None: - self.__jdk_dir = java_dir + cls.__jdk_dir = java_dir else: - self.__jdk_dir = '/usr/lib/jvm/java-1.8.0-openjdk-amd64' # self.__jdk_dir = '/usr/lib/jvm/java-8-oracle' - if isdir(self.__jdk_dir): - os.environ['JAVA_HOME'] = self.__jdk_dir + cls.__jdk_dir = '/usr/lib/jvm/java-1.8.0-openjdk-amd64' # self.__jdk_dir = '/usr/lib/jvm/java-8-oracle' + if isdir(cls.__jdk_dir): + os.environ['JAVA_HOME'] = cls.__jdk_dir else: raise ImportError("ERROR: JAVA installation not found") - - + #Point to Location of Stanford NER Library if ner_path != None: - self.__jar = ner_path + cls.__jar = ner_path else: - self.__jar = './resources/stanford-corenlp-full-2018-02-27/stanford-corenlp-3.9.1.jar' - if isfile(self.__jar): - os.environ['CLASSPATH'] = self.__jar + cls.__jar = './resources/stanford-corenlp-full-2018-02-27/stanford-corenlp-3.9.1.jar' + if isfile(cls.__jar): + os.environ['CLASSPATH'] = cls.__jar else: - self.__jar = 'pine/pipelines/resources/stanford-corenlp-full-2018-02-27/stanford-corenlp-3.9.1.jar' - if isfile(self.__jar): - os.environ['CLASSPATH'] = self.__jar + cls.__jar = 'pine/pipelines/resources/stanford-corenlp-full-2018-02-27/stanford-corenlp-3.9.1.jar' + if isfile(cls.__jar): + os.environ['CLASSPATH'] = cls.__jar else: raise ImportError("ERROR: Stanford NER Library not found") - + #if you get to this point, java and stanford ner library should be located import jnius_config if not jnius_config.vm_running: - print('Configured JVM') + logger.info('Configured JVM') jnius_config.add_options('-Xmx32g') #allocate enough memory to the JVM heap to run the classifier else: raise RuntimeWarning('WARNING: JVM already running. Cannot run core nlp') @@ -99,32 +87,22 @@ class corenlp_NER(Pipeline): from jnius import autoclass #General - self.__java_String = autoclass("java.lang.String") + cls.__java_String = autoclass("java.lang.String") #TOKENIZING - self.__java_StringReader = autoclass("java.io.StringReader") - self.__java_Tokenizer = autoclass("edu.stanford.nlp.process.PTBTokenizer") + cls.__java_StringReader = autoclass("java.io.StringReader") + cls.__java_Tokenizer = autoclass("edu.stanford.nlp.process.PTBTokenizer") #TRAINING AND TESTING CRFCLASSIFIER - self.__java_CRFClassifier = autoclass("edu.stanford.nlp.ie.crf.CRFClassifier") - self.__java_Properties = autoclass("java.util.Properties") - self.__java_AA = autoclass("edu.stanford.nlp.ling.CoreAnnotations$AnswerAnnotation") + cls.__java_CRFClassifier = autoclass("edu.stanford.nlp.ie.crf.CRFClassifier") + cls.__java_Properties = autoclass("java.util.Properties") + cls.__java_AA = autoclass("edu.stanford.nlp.ling.CoreAnnotations$AnswerAnnotation") #GETTING CONFIDENCES - self.__java_CRFCliqueTree = autoclass("edu.stanford.nlp.ie.crf.CRFCliqueTree") - - if load_model != None: - self.__crf = self.__java_CRFClassifier.getClassifier(self.__java_String(load_model)) - self.__model = load_model - - self.__SCNLP = autoclass("edu.stanford.nlp.pipeline.StanfordCoreNLP") - - - #fit(X, y) - #internal state is changed - def fit(self, X, y, params=None): - - default_params = { + cls.__java_CRFCliqueTree = autoclass("edu.stanford.nlp.ie.crf.CRFCliqueTree") + + cls.__SCNLP = autoclass("edu.stanford.nlp.pipeline.StanfordCoreNLP") + cls.__default_fit_params = { 'import_prop_file': None, 'export_prop_file': None, 'max_left': 1, @@ -143,6 +121,48 @@ class corenlp_NER(Pipeline): 'use_type_y_sequences': True, 'word_shape': "chris2useLC" } + + cls.__is_setup = True + + #init() + #set tunable parameters + #TODO: Should probably make this more robust by inserting try/catch + def __init__(self, java_dir=None, ner_path=None, load_model=None, tmp_dir=None): + corenlp_NER.setup(java_dir=java_dir, ner_path=ner_path) + + self.__id = uuid.uuid4() + + if tmp_dir != None: + self.__temp_dir = tmp_dir + #can choose to dictate where the model will store files so that it doesn't overwrite any, + #otherwise it will write to a new directory within the resources folder + else: + self.__temp_dir = config.ROOT_DIR + '/tmp/' + str(self.__id) + + if not isdir(self.__temp_dir): + os.makedirs(self.__temp_dir) + logger.info("Using temp dir {}".format(self.__temp_dir)) + + self.__train_file = join(self.__temp_dir, 'corenlp_training.tsv') + self.__test_file = join(self.__temp_dir, 'corenlp_test_gold.tsv') + self.__model = join(self.__temp_dir, 'corenlp-ner-model.ser.gz') + + if load_model != None: + self.__crf = self.__java_CRFClassifier.getClassifier(self.__java_String(load_model)) + self.__model = load_model + + @overrides + def status(self) -> dict: + return { + "temp_dir": abspath(self.__temp_dir), + "jdk_dir": abspath(self.__jdk_dir), + "jar": abspath(self.__jar), + "default_fit_params": self.__default_fit_params + } + + @overrides + def fit(self, X, y, **params): + default_params = self.__default_fit_params.copy() #format input data into tsv file for ner to train on try: train_data = self.format_data(X, y) @@ -223,13 +243,11 @@ wordShape=""" + default_params["word_shape"] + """ os.remove(self.__train_file) - - #predict(X, Xid) - #returns {text_id: [[offset_start, offset_end, label], ... []], ...} - def predict(self, X, Xid): - out = {} - for doc, doc_id in zip(X, Xid): - doc_ents = [] + @overrides + def predict(self, X: typing.Iterable[str]) -> typing.List[DocumentPredictions]: + out = [] + for doc in X: + ner_preds = [] test_text = self.__java_String(doc) results = self.__crf.classify(test_text) @@ -241,18 +259,16 @@ wordShape=""" + default_params["word_shape"] + """ label = word.get(self.__java_AA) #print(str(start_char) + '-' + str(end_char) + ': ' + word.word() + '/' + label) if label != 'O': - doc_ents.append((start_char, end_char, label)) - out[doc_id] = doc_ents + ner_preds.append(NerPrediction(start_char, end_char, label)) + out.append(DocumentPredictions(ner_preds, [])) return out - #predict_proba(X, Xid) - #returns {text_id: [(offset_start, offset_end, label, score), ... []], ...} - #can also return scores for all labels if get_all is True - def predict_proba(self, X, Xid, get_all_labels=False, include_other=False): - out = {} + @overrides + def predict_proba(self, X: typing.Iterable[str], get_all_labels=False, include_other=False, **kwargs) -> typing.List[DocumentPredictionProbabilities]: + out = [] # Score is confidence of classifier for this prediction - for doc, doc_id in zip(X, Xid): - doc_ents = [] + for doc in X: + ner_probs = [] test_text = self.__java_String(doc) results = self.__crf.classify(test_text) @@ -269,7 +285,7 @@ wordShape=""" + default_params["word_shape"] + """ index = self.__crf.classIndex.indexOf(self.__java_String(label)) prob = cliqueTree.prob(w, index) #print(str(start_char) + '-' + str(end_char) + ': ' + word.word() + '/' + label) - doc_ents.append((start_char, end_char, label, prob)) + ner_probs.append(NerPredictionProbabilities(start_char, end_char, [(label, prob)])) else: itr = self.__crf.classIndex.iterator() all_probs = [] @@ -278,15 +294,14 @@ wordShape=""" + default_params["word_shape"] + """ index = self.__crf.classIndex.indexOf(self.__java_String(label)) prob = cliqueTree.prob(w, index) all_probs.append((label, prob)) - doc_ents.append((start_char, end_char, all_probs)) + ner_probs.append(NerPredictionProbabilities(start_char, end_char, all_probs)) - out[doc_id] = doc_ents + out.append(DocumentPredictions(ner_probs, [])) return out - #TODO: next_example(X, Xid) - #Given model's current state evaluate the input (id, String) pairs and return a rank ordering of lowest->highest scores for instances (will need to discuss specifics of ranking) - #Discussing rank is now a major project - see notes + @overrides + #TODO def next_example(self, X, Xid): return @@ -334,23 +349,23 @@ wordShape=""" + default_params["word_shape"] + """ out.append(ent_extract) return out - #saves model so that it can be loaded again later + @overrides #models must be saved with extension ".ser.gz" def save_model(self, model_name): if not model_name.endswith(".ser.gz"): - print('WARNING: model_name must end in .ser.gz, adding...') + logger.warn('WARNING: model_name must end in .ser.gz, adding...') model_name = model_name + ".ser.gz" self.__crf.serializeClassifier(self.__java_String(model_name)) - print('Saved model to ' + model_name) + logger.info('Saved model to ' + model_name) return model_name - #loads a previously saved model + @overrides #properties can be exported/imported during train def load_model(self, model_name): #TODO: what to do if model doesn't exist? if not model_name.endswith(".ser.gz"): - print('WARNING: model_name must end in .ser.gz, adding...') + logger.warn('WARNING: model_name must end in .ser.gz, adding...') model_name = model_name + ".ser.gz" self.__crf = self.__java_CRFClassifier.getClassifier(self.__java_String(model_name)) self.__model = model_name @@ -411,10 +426,10 @@ wordShape=""" + default_params["word_shape"] + """ #Find corresponding token in gold and predicted word = answer[0] gold = answer[1] - if verbose: print('GOLD: ' + word + ',' + gold) + if verbose: logger.trace('GOLD: ' + word + ',' + gold) if word == '': - if verbose: print('SKIP') + if verbose: logger.trace('SKIP') continue if next_guess != None: @@ -452,7 +467,7 @@ wordShape=""" + default_params["word_shape"] + """ next_guess = None a = 1 votes = {guess[1]: 1} #reset votes when concatenation is discarded - if verbose: print(guess) + if verbose: logger.trace(guess) #check what the next gold token is, if it matches with the current guess then just move on #(likely the current answer token doesn't exactly match the guess token, see `` vs '') @@ -466,7 +481,7 @@ wordShape=""" + default_params["word_shape"] + """ if word != guess[0]: continue #if the code gets to here we are pretty confident the tokens match - if verbose: print('GUESS: ' + str(guess)) + if verbose: logger.trace('GUESS: ' + str(guess)) pred = guess[1] diff --git a/pipelines/pine/pipelines/opennlp_NER_pipeline.py b/pipelines/pine/pipelines/opennlp_NER_pipeline.py index 51842a2..24b45ce 100644 --- a/pipelines/pine/pipelines/opennlp_NER_pipeline.py +++ b/pipelines/pine/pipelines/opennlp_NER_pipeline.py @@ -4,13 +4,16 @@ import logging import os -from os.path import isfile, isdir, exists, join -import pydash +from os.path import abspath, isfile, isdir, exists, join import uuid import sys import traceback +import typing -from .pipeline import Pipeline +import pydash +from overrides import overrides + +from .pipeline import Pipeline, NerPrediction, DocumentPredictions, NerPredictionProbabilities, DocumentPredictionProbabilities from .shared.config import ConfigBuilder config = ConfigBuilder.get_config() @@ -20,7 +23,7 @@ logger = logging.getLogger(__name__) class opennlp_NER(Pipeline): #Path variables - __jar = '' + __ner_path = '' __jdk_dir = '' __temp_dir = None __train_file = '' @@ -32,13 +35,94 @@ class opennlp_NER(Pipeline): #Class variables __id = None + __is_setup = False + + @classmethod + def setup(cls, java_dir=None, ner_path=None): + if cls.__is_setup: + logger.info("Java is already set up.") + return + + logger.info("Setting up Java.") + #TODO: set defaults for the following + #TODO: Point to location of JAVA installation + if java_dir != None: + cls.__jdk_dir = java_dir + else: + cls.__jdk_dir = '/usr/lib/jvm/java-1.8.0-openjdk-amd64' + if isdir(cls.__jdk_dir): + os.environ['JAVA_HOME'] = cls.__jdk_dir + else: + raise ImportError("ERROR: JAVA installation not found") + #Point to Location of OpenNLP Library Directory + if ner_path != None: + cls.__ner_path = ner_path + else: + #self.__jar = 'resources/apache-opennlp-1.9.0/lib/' + cls.__ner_path= 'resources/apache-opennlp-1.9.0' + if exists(cls.__ner_path): + os.environ['CLASSPATH'] = os.path.join(cls.__ner_path, 'lib', '*') + else: + cls.__ner_path = 'pine/pipelines/resources/apache-opennlp-1.9.0' + if exists(cls.__ner_path): + os.environ['CLASSPATH'] = os.path.join(cls.__ner_path, 'lib', '*') + else: + raise ImportError("ERROR: OpenNLP Library not found") + + #if you get to this point, java and opennlp library should be located + import jnius_config + if not jnius_config.vm_running: + logger.info('Configured JVM') + jnius_config.add_options('-Xmx8g') #allocate enough memory to the JVM heap to run the classifier + else: + raise RuntimeWarning('WARNING: JVM already running. Cannot run open nlp') + + #import pyjnius to import required classes from JAVA/opennlp + from jnius import autoclass + + #General + cls.__java_String = autoclass("java.lang.String") + cls.__java_File = autoclass("java.io.File") + + #TOKENIZING + cls.__java_SentenceModel = autoclass("opennlp.tools.sentdetect.SentenceModel") + cls.__java_SentenceDetectorME = autoclass("opennlp.tools.sentdetect.SentenceDetectorME") + cls.__java_TokenizerModel = autoclass("opennlp.tools.tokenize.TokenizerModel") + cls.__java_TokenizerME = autoclass("opennlp.tools.tokenize.TokenizerME") + + #self.__sentenceDetector = self.__java_SentenceDetectorME(self.__java_SentenceModel(self.__java_File(self.__java_String("pipelines/resources/apache-opennlp-1.9.0/en-sent.bin")))) + #self.__tokenizer = self.__java_TokenizerME(self.__java_TokenizerModel(self.__java_File(self.__java_String("pipelines/resources/apache-opennlp-1.9.0/en-token.bin")))) + cls.__sentenceDetector = cls.__java_SentenceDetectorME(cls.__java_SentenceModel(cls.__java_File(cls.__java_String(os.path.join(cls.__ner_path, 'en-sent.bin'))))) + cls.__tokenizer = cls.__java_TokenizerME(cls.__java_TokenizerModel(cls.__java_File(cls.__java_String(os.path.join(cls.__ner_path, 'en-token.bin'))))) + + #TRAINING + cls.__java_PlainTextByLineStream = autoclass("opennlp.tools.util.PlainTextByLineStream") + cls.__java_NameSampleDataStream = autoclass("opennlp.tools.namefind.NameSampleDataStream") + cls.__java_NameFinderME = autoclass("opennlp.tools.namefind.NameFinderME") + cls.__java_TrainingParameters = autoclass("opennlp.tools.util.TrainingParameters") + cls.__java_TokenNameFinderFactory = autoclass("opennlp.tools.namefind.TokenNameFinderFactory") + cls.__java_MarkableFileInputStreamFactory = autoclass("opennlp.tools.util.MarkableFileInputStreamFactory") + + #SAVING/LOADING MODEL + cls.__java_TokenNameFinderModel = autoclass("opennlp.tools.namefind.TokenNameFinderModel") + + #EVALUATION + cls.__java_TokenNameFinderEvaluator = autoclass("opennlp.tools.namefind.TokenNameFinderEvaluator") + + #MISC + cls.__java_WindowFeatureGenerator = autoclass("opennlp.tools.util.featuregen.WindowFeatureGenerator") + cls.__java_AdditionalContextFeatureGenerator = autoclass("opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator") + cls.__java_Array = autoclass("java.lang.reflect.Array") + + cls.__is_setup = True #init() #set tunable parameters #TODO: Should probably make this more robust by inserting try/catch def __init__(self, java_dir=None, ner_path=None, tmp_dir=None): - + opennlp_NER.setup(java_dir=java_dir, ner_path=ner_path) + self.__id = uuid.uuid4() if tmp_dir != None: @@ -55,81 +139,16 @@ class opennlp_NER(Pipeline): self.__train_file = join(self.__temp_dir, 'opennlp_ner.train') self.__test_file = join(self.__temp_dir, 'opennlp_ner.test') - #TODO: set defaults for the following - #TODO: Point to location of JAVA installation - if java_dir != None: - self.__jdk_dir = java_dir - else: - self.__jdk_dir = '/usr/lib/jvm/java-1.8.0-openjdk-amd64' - if isdir(self.__jdk_dir): - os.environ['JAVA_HOME'] = self.__jdk_dir - else: - raise ImportError("ERROR: JAVA installation not found") + @overrides + def status(self) -> dict: + return { + "temp_dir": abspath(self.__temp_dir), + "jdk_dir": abspath(self.__jdk_dir), + "ner_path": abspath(self.__ner_path) + } - #Point to Location of OpenNLP Library Directory - if ner_path != None: - self.__ner_path = ner_path - else: - #self.__jar = 'resources/apache-opennlp-1.9.0/lib/' - self.__ner_path= 'resources/apache-opennlp-1.9.0' - if exists(self.__ner_path): - os.environ['CLASSPATH'] = os.path.join(self.__ner_path, 'lib', '*') - else: - self.__ner_path = 'pine/pipelines/resources/apache-opennlp-1.9.0' - if exists(self.__ner_path): - os.environ['CLASSPATH'] = os.path.join(self.__ner_path, 'lib', '*') - else: - raise ImportError("ERROR: OpenNLP Library not found") - - - #if you get to this point, java and opennlp library should be located - import jnius_config - if not jnius_config.vm_running: - logger.info('Configured JVM') - jnius_config.add_options('-Xmx8g') #allocate enough memory to the JVM heap to run the classifier - else: - raise RuntimeWarning('WARNING: JVM already running. Cannot run open nlp') - - #import pyjnius to import required classes from JAVA/opennlp - from jnius import autoclass - - #General - self.__java_String = autoclass("java.lang.String") - self.__java_File = autoclass("java.io.File") - - #TOKENIZING - self.__java_SentenceModel = autoclass("opennlp.tools.sentdetect.SentenceModel") - self.__java_SentenceDetectorME = autoclass("opennlp.tools.sentdetect.SentenceDetectorME") - self.__java_TokenizerModel = autoclass("opennlp.tools.tokenize.TokenizerModel") - self.__java_TokenizerME = autoclass("opennlp.tools.tokenize.TokenizerME") - - #self.__sentenceDetector = self.__java_SentenceDetectorME(self.__java_SentenceModel(self.__java_File(self.__java_String("pipelines/resources/apache-opennlp-1.9.0/en-sent.bin")))) - #self.__tokenizer = self.__java_TokenizerME(self.__java_TokenizerModel(self.__java_File(self.__java_String("pipelines/resources/apache-opennlp-1.9.0/en-token.bin")))) - self.__sentenceDetector = self.__java_SentenceDetectorME(self.__java_SentenceModel(self.__java_File(self.__java_String(os.path.join(self.__ner_path, 'en-sent.bin'))))) - self.__tokenizer = self.__java_TokenizerME(self.__java_TokenizerModel(self.__java_File(self.__java_String(os.path.join(self.__ner_path, 'en-token.bin'))))) - - #TRAINING - self.__java_PlainTextByLineStream = autoclass("opennlp.tools.util.PlainTextByLineStream") - self.__java_NameSampleDataStream = autoclass("opennlp.tools.namefind.NameSampleDataStream") - self.__java_NameFinderME = autoclass("opennlp.tools.namefind.NameFinderME") - self.__java_TrainingParameters = autoclass("opennlp.tools.util.TrainingParameters") - self.__java_TokenNameFinderFactory = autoclass("opennlp.tools.namefind.TokenNameFinderFactory") - self.__java_MarkableFileInputStreamFactory = autoclass("opennlp.tools.util.MarkableFileInputStreamFactory") - - #SAVING/LOADING MODEL - self.__java_TokenNameFinderModel = autoclass("opennlp.tools.namefind.TokenNameFinderModel") - - #EVALUATION - self.__java_TokenNameFinderEvaluator = autoclass("opennlp.tools.namefind.TokenNameFinderEvaluator") - - #MISC - self.__java_WindowFeatureGenerator = autoclass("opennlp.tools.util.featuregen.WindowFeatureGenerator") - self.__java_AdditionalContextFeatureGenerator = autoclass("opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator") - self.__java_Array = autoclass("java.lang.reflect.Array") - - #fit(X, y) - #internal state is changed - def fit(self, X, y, params): + @overrides + def fit(self, X, y, **params): try: data = self.format_data(X, y) if len(data)==0 or data is None: @@ -168,13 +187,13 @@ class opennlp_NER(Pipeline): self.__nameFinder = self.__java_NameFinderME(self.__model) os.remove(self.__train_file) - #predict(X, Xid) - #returns {text_id: [[offset_start, offset_end, label], ... []], ...} - def predict(self, X, Xid): - out = {} + @overrides + def predict(self, X: typing.Iterable[str]) -> typing.List[DocumentPredictions]: + out = [] #self.find_all_init() - for doc, doc_id in zip(X, Xid): - doc_ents = [] + for doc in X: + ner_preds = [] + doc_tokens = [] sentences = self.__sentenceDetector.sentPosDetect(self.__java_String(str(doc).encode('utf-8'))) for s in sentences: s_start = s.getStart() @@ -182,36 +201,30 @@ class opennlp_NER(Pipeline): sent = self.__java_String(str(doc[s_start:s_end]).encode('utf-8')) tokens = self.__tokenizer.tokenizePos(sent) tok_string = [] - doc_tokens = [] for t in tokens: - t_start = t.getStart() + s_start t_end = t.getEnd() + s_start - doc_tokens.append((t_start, t_end)) + doc_tokens.append([t_start, t_end]) tok_string.append(self.__java_String(str(doc[t_start:t_end]).encode('utf-8'))) ents = self.__nameFinder.find(tok_string) # ents = self.find_all(tok_string) for e in ents: start_token = tokens[e.getStart()] end_token = tokens[e.getEnd() - 1] - doc_ents.append((start_token.getStart() + s_start, end_token.getEnd() + s_start, e.getType())) + ner_preds.append(NerPrediction(start_token.getStart() + s_start, end_token.getEnd() + s_start, e.getType())) # sequenceFinder = self.__model.getNameFinderSequenceModel() # print(str(len(ents)) + ',' + str(len(tok_string)) + str(sequenceFinder.getOutcomes())) - #print(doc_id) - #print(doc_ents) - out[doc_id] = (doc_ents, doc_tokens) + out.append(DocumentPredictions(ner_preds, [], extra_data=doc_tokens)) self.__nameFinder.clearAdaptiveData() return out - # predict_proba(X, Xid) - # returns {text_id: [(offset_start, offset_end, label, score), ... (), ...} + @overrides # TODO: figure out how to retrieve confidences for all labels instead of just most confident - # Right now get_all_labels and include_other do nothing - def predict_proba(self, X, Xid, get_all_labels=False, include_other=False): - out = {} - for doc, doc_id in zip(X, Xid): - doc_ents = [] + def predict_proba(self, X: typing.Iterable[str], **kwargs) -> typing.List[DocumentPredictionProbabilities]: + out = [] + for doc in X: + ner_probs = [] sentences = self.__sentenceDetector.sentPosDetect(self.__java_String(str(doc).encode('utf-8'))) for s in sentences: s_start = s.getStart() @@ -227,20 +240,19 @@ class opennlp_NER(Pipeline): for e in ents: start_token = tokens[e.getStart()] end_token = tokens[e.getEnd() - 1] - doc_ents.append((start_token.getStart() + s_start, end_token.getEnd() + s_start, e.getType(), e.getProb())) - out[doc_id] = doc_ents + ner_probs.append(NerPredictionProbabilities(start_token.getStart() + s_start, end_token.getEnd() + s_start, [(e.getType(), e.getProb())])) + out.append(DocumentPredictionProbabilities(ner_probs, [])) self.__nameFinder.clearAdaptiveData() return out - # TODO: next_example(X, Xid) - # Given model's current state evaluate the input (id, String) pairs and return a rank ordering of lowest->highest scores for instances (will need to discuss specifics of ranking) - # Discussing rank is now a major project - see notes + @overrides + # TODO def next_example(self, X, Xid): return # EXTRA METHODS TO HELP WITH THE opennlp PIPELINE ## - # Save a model to be used again later + @overrides # models must be saved and loaded with extension ".bin" def save_model(self, model_name): if not model_name.endswith(".bin"): @@ -251,8 +263,7 @@ class opennlp_NER(Pipeline): return model_name - - #loads a model from file + @overrides def load_model(self, model_name): if not model_name.endswith(".bin"): logger.warning('WARNING: model_name must end with .bin, adding...') @@ -328,12 +339,7 @@ class opennlp_NER(Pipeline): in_ann = True out += doc[start:end] + ' ' - except: - exec_type, value, tb = sys.exc_info() - print(traceback.format_tb(tb)) - print(value) - try: if cur_ann[1] <= end and not doc_done: if in_ann: out += ' ' @@ -343,9 +349,7 @@ class opennlp_NER(Pipeline): else: doc_done = True except: - exec_type, value, tb = sys.exc_info() - print(traceback.format_tb(tb)) - print(value) + logger.exception("Error getting annotations") if not in_ann: out += '\n' #fixes times where sentence detector would cut off in the middle of a label out += '\n' @@ -353,38 +357,39 @@ class opennlp_NER(Pipeline): logger.warning(e) return out - def convert_ann_collection_to_per_token(self, annotations, tokens): + def convert_ann_collection_to_per_token(self, annotations: typing.List[typing.Union[NerPrediction, typing.Tuple[int, int, str]]], tokens): labels_per_token = [] for tok in tokens: labels = [] for ann in annotations: - if ann[0] <= tok[0] and ann[1] >= tok[1]: - labels.append(ann[2]) + if isinstance(ann, NerPrediction): + if ann.offset_start <= tok[0] and ann.offset_end >= tok[1]: + labels.append(ann.label) + else: + if ann[0] <= tok[0] and ann[1] >= tok[1]: + labels.append(ann[2]) labels_per_token.append(labels) return labels_per_token def evaluate(self, X, y, Xid): - predictions = self.predict(X, Xid) + predictions = self.predict(X) stats = {'Totals': [0, 0, 0, 0]} - - for doc_id in predictions: - guess = predictions[doc_id][0] + for (doc_id, prediction) in zip(Xid, predictions): + guesses: typing.List[NerPrediction] = prediction.ner gold = y[Xid.index(doc_id)] - all_tokens = predictions[doc_id][1] + all_tokens = prediction.extra_data - - reformat_gold = [tuple(pydash.flatten(go)) for go in gold] - gold = reformat_gold + gold = [tuple(pydash.flatten(go)) for go in gold] labels_in_gold = self.convert_ann_collection_to_per_token(gold, all_tokens) - labels_in_guess = self.convert_ann_collection_to_per_token(guess, all_tokens) + labels_in_guess = self.convert_ann_collection_to_per_token(guesses, all_tokens) all_known_labels = set() - for ann in guess: - all_known_labels.add(ann[2]) + for ann in guesses: + all_known_labels.add(ann.label) for ann in gold: all_known_labels.add(ann[2]) @@ -465,6 +470,6 @@ class opennlp_NER(Pipeline): evaluator.evaluate(sampleStream) result = evaluator.getFMeasure() - print(result.toString()) + logger.info(result.toString()) return (result.getPrecisionScore(), result.getRecallScore(), result.getFMeasure()) diff --git a/pipelines/pine/pipelines/pipeline.py b/pipelines/pine/pipelines/pipeline.py index 912c065..902499a 100644 --- a/pipelines/pine/pipelines/pipeline.py +++ b/pipelines/pine/pipelines/pipeline.py @@ -1,6 +1,54 @@ # (C) 2019 The Johns Hopkins University Applied Physics Laboratory LLC. import abc +import typing + +class NerPrediction(object): + def __init__(self, offset_start: int, offset_end: int, label: str): + self.offset_start: int = offset_start + self.offset_end: int = offset_end + self.label: str = label + + def serialize(self) -> typing.Tuple[int, int, str]: + return (self.offset_start, self.offset_end, self.label) + +class DocumentPredictions(object): + def __init__(self, ner: typing.List[NerPrediction], doc: typing.List[str], extra_data: typing.Any = None): + self.ner = ner + self.doc = doc + self.extra_data = extra_data + + def serialize(self) -> dict: + return { + "ner": [n.serialize() for n in self.ner], + "doc": self.doc + } + +class NerPredictionProbabilities(object): + def __init__(self, offset_start: int, offset_end: int, predictions: typing.List[typing.Tuple[str, float]]): + self.offset_start = offset_start + self.offset_end = offset_end + self.predictions = predictions + + def get_highest_prediction(self) -> typing.Tuple[str, float]: + return max(self.predictions, key=lambda t: t[1]) + + def get_predictions_from_highest_to_lowest(self) -> typing.List[typing.Tuple[str, float]]: + return sorted(self.predictions, key=lambda t: t[1], reverse=True) + + def serialize(self) -> typing.Tuple[int, int, typing.List[typing.Tuple[str, float]]]: + return (self.offset_start, self.offset_end, self.predictions) + +class DocumentPredictionProbabilities(object): + def __init__(self, ner: typing.List[NerPredictionProbabilities], doc: typing.List[typing.Tuple[str, float]]): + self.ner = ner + self.doc = doc + + def serialize(self) -> dict: + return { + "ner": [n.serialize() for n in self.ner], + "doc": self.doc + } class Pipeline(object, metaclass=abc.ABCMeta): @@ -8,26 +56,43 @@ class Pipeline(object, metaclass=abc.ABCMeta): def __init__(self): raise NotImplementedError('Must define __init__ to use Pipeline Base Class') + # status() @abc.abstractmethod - def fit(self, X, y): + def status(self) -> dict: + raise NotImplementedError('Must define status to use Pipeline Base Class') + + # fit(X, y) + # internal state is changed + @abc.abstractmethod + def fit(self, X, y, **params): raise NotImplementedError('Must define fit to use Pipeline Base Class') + # predict(X) + # returns [[[offset_start, offset_end, label], ..., ...] @abc.abstractmethod - def predict(self, X, Xid): + def predict(self, X: typing.Iterable[str]) -> typing.List[DocumentPredictions]: raise NotImplementedError('Must define predict to use Pipeline Base Class') + # predict_proba(X) + # returns [[[offset_start, offset_end, label, score], ...], ...] + # can also return scores for all labels if get_all is True @abc.abstractmethod - def predict_proba(self, X, Xid): + def predict_proba(self, X: typing.Iterable[str], **kwargs) -> typing.List[DocumentPredictionProbabilities]: raise NotImplementedError('Must define predict_proba to use Pipeline Base Class') + # next_example(X, Xid) + # Given model's current state evaluate the input (id, String) pairs and return a rank ordering of lowest->highest scores for instances (will need to discuss specifics of ranking) + # Discussing rank is now a major project - see notes @abc.abstractmethod def next_example(self, X, Xid): raise NotImplementedError('Must define next_example to use Pipeline Base Class') + # saves model so that it can be loaded again later @abc.abstractmethod def save_model(self, model_name): raise NotImplementedError('Must define save_model to use Pipeline Base Class') + # loads a previously saved model @abc.abstractmethod def load_model(self, model_name): raise NotImplementedError('Must define load_model to use Pipeline Base Class') diff --git a/pipelines/pine/pipelines/pmap_ner.py b/pipelines/pine/pipelines/pmap_ner.py index fa9941f..99a9937 100644 --- a/pipelines/pine/pipelines/pmap_ner.py +++ b/pipelines/pine/pipelines/pmap_ner.py @@ -3,8 +3,11 @@ import importlib import logging import os +import typing -from .pipeline import Pipeline +from .pipeline import Pipeline, DocumentPredictions, DocumentPredictionProbabilities + +from overrides import overrides logger = logging.getLogger(__name__) @@ -42,24 +45,28 @@ class NER(Pipeline): self.pipeline = self.pipe_init('spacy', **kwargs) self.__lib = 'spacy' - - #fit(X, y) - #returns nothing + @property + def pipeline_class(self): + return self.pipeline.__class__.__module__ + "." + self.pipeline.__class__.__name__ + + @overrides + def status(self) -> dict: + return self.pipeline.status() + #internal state is changed #kwargs varies between pipelines, see individual pipeline for extra arguments - def fit(self, X, y, kwargs): - return self.pipeline.fit(X, y, kwargs) + @overrides + def fit(self, X, y, **kwargs): + return self.pipeline.fit(X, y, **kwargs) - #predict(X) - #returns {doc_id:[(offset_start, offset_end, label), ... ()]} - def predict(self, X, Xid): - return self.pipeline.predict(X, Xid) + @overrides + def predict(self, X: typing.Iterable[str]) -> typing.List[DocumentPredictions]: + return self.pipeline.predict(X) - #predict_proba(X) - #returns {doc_id:[(offset_start, offset_end, label, confidence), ... ()]} #kwargs varies between pipelines, see individual pipeline for extra arguments - def predict_proba(self, X, Xid, **kwargs): - return self.pipeline.predict_proba(X, Xid, **kwargs) + @overrides + def predict_proba(self, X: typing.Iterable[str], **kwargs) -> typing.List[DocumentPredictionProbabilities]: + return self.pipeline.predict_proba(X, **kwargs) # evaluate(X, y, Xid) # returns stats @@ -68,22 +75,20 @@ class NER(Pipeline): #next_example(Xid) #Given model's current state evaluate the input (id, String) pairs and return a rank ordering of lowest->highest scores for instances (will need to discuss specifics of ranking) + @overrides def next_example(self, X, Xid): #may want to program it here instead of one level down, as the ranking function might not change with the pipeline used return self.pipeline.next_example(X, Xid) - #saves model so that it can be loaded again later - #models must be saved with extension ".ser.gz" - # save_model(path) - def save_model(self, model_path): - directory = os.path.dirname(model_path) + @overrides + def save_model(self, model_name): + directory = os.path.dirname(model_name) # if directories in path dont exists create them if not os.path.exists(directory): os.makedirs(directory) - return self.pipeline.save_model(model_path) + return self.pipeline.save_model(model_name) - #loads a previously saved model - #properties can be exported/imported during train + @overrides def load_model(self, model_name): self.pipeline.load_model(model_name) diff --git a/pipelines/pine/pipelines/shared/config.py b/pipelines/pine/pipelines/shared/config.py index 24a0683..2e2cbab 100644 --- a/pipelines/pine/pipelines/shared/config.py +++ b/pipelines/pine/pipelines/shared/config.py @@ -56,6 +56,7 @@ class BaseConfig(object): REDIS_DBNUM = 0 # Redis DB Number (0-5) REDIS_PREFIX = "AL:" # Note: Must be used manually REDIS_EXPIRE = 3600 + REDIS_MAX_PROCESSES = 10 # Scheduler SCHEDULER_REGISTRATION_TIMEOUT = int(timedelta(minutes=10).total_seconds()) # how long something will be registered as a service @@ -74,7 +75,7 @@ class BaseConfig(object): channel="service_corenlp", service=dict( framework="corenlp", - types=["fit", "predict"] + types=["fit", "predict", "status"] ) ), dict( @@ -83,7 +84,7 @@ class BaseConfig(object): channel="service_opennlp", service=dict( framework="opennlp", - types=["fit", "predict"] + types=["fit", "predict", "status"] ) ), dict( @@ -92,7 +93,7 @@ class BaseConfig(object): channel="service_spacy", service=dict( framework="spacy", - types=["fit", "predict"] + types=["fit", "predict", "status"] ) ) ] diff --git a/pipelines/pine/pipelines/spacy_NER_pipeline.py b/pipelines/pine/pipelines/spacy_NER_pipeline.py index 6b11472..e64012e 100644 --- a/pipelines/pine/pipelines/spacy_NER_pipeline.py +++ b/pipelines/pine/pipelines/spacy_NER_pipeline.py @@ -9,60 +9,82 @@ For more details, see the documentation: Compatible with: spaCy v2.0.0+ """ +from collections import defaultdict +import logging import random +import typing + import spacy from spacy.scorer import Scorer from spacy.gold import GoldParse -from collections import defaultdict +from overrides import overrides -from .pipeline import Pipeline +from .pipeline import Pipeline, NerPrediction, DocumentPredictions, NerPredictionProbabilities, DocumentPredictionProbabilities +logger = logging.getLogger(__name__) class spacy_NER(Pipeline): + __model = None __nlp = [] __ner = [] __optimizer = [] + __default_fit_params = None # init() # set tunable parameters def __init__(self, model_path=None): + self._load_model(model_path) + self.__optimizer = self.__nlp.begin_training() + self.__default_fit_params = { + "iterations": 100, + "dropout": 0.5 + } + + def _load_model(self, model_path=None): # Allows user to load their own model if desired if model_path != None: + self.__model = model_path self.__nlp = spacy.load(model_path) - print('Loaded model from ' + model_path) + logger.info('Loaded model from ' + model_path) # checks to see if ner pipeline exists if 'ner' not in self.__nlp.pipe_names: self.__ner = self.__nlp.create_pipe('ner') - print('Created spaCy NER pipe and added to model') + logger.info('Created spaCy NER pipe and added to model') else: self.__ner = self.__nlp.get_pipe('ner') else: + self.__model = "en" # if user does not specify a model to load, creates a blank one instead self.__nlp = spacy.blank('en') - print('Created blank EN spaCy model') + logger.info('Created blank EN spaCy model') # create the built-in pipeline components and add them to the pipeline # nlp.create_pipe works for built-ins that are registered with spaCy self.__ner = self.__nlp.create_pipe('ner') self.__nlp.add_pipe(self.__ner, last=True) - print('Created spaCy NER pipe') - self.__optimizer = self.__nlp.begin_training() + logger.info('Created spaCy NER pipe') - # fit(X, y) - # internal state is changed - def fit(self, X, y, params=None): - #setting up params - default_params = { - "n_iter":100, - "dropout":0.5 + @overrides + def status(self) -> dict: + # TODO more status + return { + "model": self.__model, + "default_fit_params": self.__default_fit_params } + + @overrides + def fit(self, X, y, **params): + #setting up params + default_params = self.__default_fit_params.copy() if params is not None: for key in default_params.keys(): if key in params: default_params[key]= params[key] + logger.info("Training with parameters: {}".format(default_params)) train_data = self.format_data(X, y) + logger.info("Training data of length {} has been prepared".format(len(train_data))) # add labels for _, annotations in train_data: @@ -71,21 +93,30 @@ class spacy_NER(Pipeline): # get names of other pipes to disable them during training (only needed if user loads own model as we aren't sure what's in it) other_pipes = [pipe for pipe in self.__nlp.pipe_names if pipe != 'ner'] + all_losses = [] with self.__nlp.disable_pipes(*other_pipes): # only train NER self.__optimizer = self.__nlp.entity.create_optimizer() # begin_training() zeros out existing entity types so we just create another optimizer instead to account for training new entity types # NOTE: be sure to include examples of both existing and new entity types when fitting otherwise spacy will overfit to the new data - for itn in range(default_params["n_iter"]): + for itn in range(default_params["iterations"]): random.shuffle(train_data) losses = {} for text, annotations in train_data: + if not text: + continue + logger.debug("text len={} annotations len={}".format(len(text), len(annotations["entities"]))) self.__nlp.update( [text], # batch of texts [annotations], # batch of annotations drop=default_params["dropout"], # dropout - make it harder to memorise data sgd=self.__optimizer, # callable to update weights losses=losses) - print(losses) + logger.info("[{}/{}] completed: losses={}".format((itn + 1), default_params["iterations"], losses)) + all_losses.append(losses) + return { + "iterations": default_params["iterations"], + "losses": all_losses + } def evaluate(self, X, y, Xid): train_data = self.format_data(X, y) @@ -193,25 +224,25 @@ class spacy_NER(Pipeline): # if label in ent: # text_entities.append(ent) # doc_gold_text = self.__nlp.make_doc(text) - # print(str(doc_gold_text.is_nered)) + # logger.info(str(doc_gold_text.is_nered)) # # gold = GoldParse(doc_gold_text, entities=text_entities) # # pred_value = self.__nlp(text) # for token in pred_value: - # print(token) - # print(token.ent_type) - # print(token.ent_type_) - # print(str(pred_value.is_nered)) - # print(pred_value) + # logger.info(token) + # logger.info(token.ent_type) + # logger.info(token.ent_type_) + # logger.info(str(pred_value.is_nered)) + # logger.info(pred_value) # scorer.score(pred_value, gold) # except Exception as e: # raise e # scores = scorer.scores - # print(scores) + # logger.info(scores) # # metrics[label] = {'precision': scores["ents_p"], 'recall': scores["ents_r"], 'f1': scores["ents_f"], 'TP': scorer.ner.tp, 'FP': scorer.ner.fp, 'FN': scorer.ner.fn} - # print(metrics[label]) + # logger.info(metrics[label]) #Calculate totals # TP = 0 @@ -238,18 +269,19 @@ class spacy_NER(Pipeline): # # return metrics - def predict(self, X, Xid): - out = {} - for text, text_id in zip(X, Xid): + @overrides + def predict(self, X: typing.Iterable[str]) -> typing.List[DocumentPredictions]: + out = [] + for text in X: pred = self.__nlp(text) - print('Entities', [(ent.start_char, ent.end_char, ent.label_, ent.text) for ent in pred.ents]) - out[text_id] = [(ent.start_char, ent.end_char, ent.label_) for ent in pred.ents] + if logger.isEnabledFor(logging.DEBUG): + logger.debug('Entities', [(ent.start_char, ent.end_char, ent.label_, ent.text) for ent in pred.ents]) + out.append(DocumentPredictions([NerPrediction(ent.start_char, ent.end_char, ent.label_) for ent in pred.ents], [])) return out - # predict_proba(X, Xid) - # returns {text_id: [[offset_start, offset_end, label, score], ... []], ...} - def predict_proba(self, X, Xid): - out = {} + @overrides + def predict_proba(self, X: typing.Iterable[str], **kwargs) -> typing.List[DocumentPredictionProbabilities]: + out = [] # Score is confidence of classifier for this prediction, though this implementation is weird/potentially unreliable # since spacy does not directly supply the NER confidence data @@ -259,9 +291,9 @@ class spacy_NER(Pipeline): # This clips solutions at each step. We multiply the score of the top-ranked action by this value, and use the result as a threshold. This prevents the parser from exploring options that look very unlikely, saving a bit of efficiency. Accuracy may also improve, because we've trained on greedy objective. beam_density = 0.0001 - for text, text_id in zip(X, Xid): + for text in X: doc = self.__nlp(text) - # print('TEXT: ' + text) + # logger.info('TEXT: ' + text) """ print ('--- Tokens ---') #DEBUGGING: Print all tokens present in text @@ -270,14 +302,14 @@ class spacy_NER(Pipeline): print ('') """ # DEBUGGING: Print entities detected with NER (denoted by start/end char) - print('--- Entities (detected with standard NER) ---') + logger.info('--- Entities (detected with standard NER) ---') # Store detected entities in dict ner_selected_entity_scores = defaultdict(float) for ent in doc.ents: - print('%d to %d: %s (%s)' % (ent.start_char, ent.end_char, ent.label_, ent.text)) + logger.debug('%d to %d: %s (%s)' % (ent.start_char, ent.end_char, ent.label_, ent.text)) ner_selected_entity_scores[(ent.start_char, ent.end_char, ent.label_)] = 0.0 - print('') + logger.debug('') # Begin beam search for confidences # notice these 2 lines - if they're not here, standard NER # will be used and all scores will be 1.0 @@ -301,30 +333,29 @@ class spacy_NER(Pipeline): ner_selected_entity_scores[(start_char, end_char, label)] += score # DEBUGGING: print scores for entities whose keys match those found from the original NER # WARNING: this is due to the scores requiring beam search, if beam search doesn't find the same ones some scores could be 0 - print('--- Relevant Entities and scores (detected with beam search) ---') - for key in ner_selected_entity_scores: - start, end, label = key - print('%d to %d: %s (%f)' % (start, end, label, ner_selected_entity_scores[key])) - - print('') - """ - #DEBUGGING: print all scores for all possible entities found by beam search - print ('--- All Entities and scores ---') - for key in all_entity_scores: - start, end, label = key - print ('%d to %d: %s (%f)' % (start, end, label, all_entity_scores[key])) - print('') - """ + if logger.isEnabledFor(logging.DEBUG): + logger.debug('--- Relevant Entities and scores (detected with beam search) ---') + for key in ner_selected_entity_scores: + start, end, label = key + logger.debug('%d to %d: %s (%f)' % (start, end, label, ner_selected_entity_scores[key])) + logger.debug('') + """ + #DEBUGGING: print all scores for all possible entities found by beam search + print ('--- All Entities and scores ---') + for key in all_entity_scores: + start, end, label = key + print ('%d to %d: %s (%f)' % (start, end, label, all_entity_scores[key])) + print('') + """ # output directly from NER pipe # out[(text_id, text)] = [(ent.start_char, ent.end_char, ent.label_) for ent in doc.ents] # output from NER score dictionary - out[text_id] = [(key[0], key[1], key[2], ner_selected_entity_scores[key]) for key in - ner_selected_entity_scores] + out.append(DocumentPredictions([NerPrediction(key[0], key[1], [(key[2], ner_selected_entity_scores[key])]) for key in + ner_selected_entity_scores], [])) return out - # TODO: next_example(X, Xid) - # Given model's current state evaluate the input (id, String) pairs and return a rank ordering of lowest->highest scores for instances (will need to discuss specifics of ranking) - # Discussing rank is now a major project - see notes + @overrides + # TODO def next_example(self, X, Xid): return @@ -342,12 +373,12 @@ class spacy_NER(Pipeline): def add_label(self, entity): self.__ner.add_label(entity) - # saves model so that it can be loaded again later - def save_model(self, model_path): - self.__nlp.to_disk(model_path) - print('Saved model to ' + model_path) - return model_path + @overrides + def save_model(self, model_name): + self.__nlp.to_disk(model_name) + logger.info('Saved model to ' + model_name) + return model_name - # load model - def load_model(self, model_path): - self.__init__(model_path=model_path) + @overrides + def load_model(self, model_name): + self._load_model(model_path=model_name) diff --git a/run_docker_compose.sh b/run_docker_compose.sh index cabe7ab..d8b188d 100755 --- a/run_docker_compose.sh +++ b/run_docker_compose.sh @@ -5,7 +5,7 @@ usage() { set +x echo "Usage: $0 [--build|--build-with-cert |--up|--up-test]" echo " --build will build the docker stack" - echo " --build-with-certs will build the docker stack using the given SSL certificate file" + echo " --build-with-cert will build the docker stack using the given SSL certificate file" echo " --up will bring up the docker stack" echo " --up-test will bring up the docker stack with the testing ports exposed" echo " --down will bring down the docker stack" diff --git a/test/Pipfile b/test/Pipfile index 77b4654..13e7b84 100644 --- a/test/Pipfile +++ b/test/Pipfile @@ -13,6 +13,7 @@ overrides = "*" python-json-logger = "*" bcrypt = "*" pytest = "*" +pytest-rerunfailures = "*" [requires] python_version = "3.6" diff --git a/test/Pipfile.lock b/test/Pipfile.lock index add6665..c02da96 100644 --- a/test/Pipfile.lock +++ b/test/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": 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"sha256:aa36550ff0c0b7ef7fa639055d797116ee891440eac1a56f378e2d3179e0320b", - "sha256:c599e4d75c98f6798c509911d08a22e6c021d074469042177c8c86fb92eefd96" + "sha256:957cfda87797e389580cb8b9e3870841ca991e2125350677b2ca83a0e99390a3", + "sha256:f5812b1e007e48cff63449a5e9f4e7ebea716b4111f9c4f9a645f91d579bf0c4" ], - "version": "==3.1.0" + "markers": "python_version >= '3.6'", + "version": "==3.5.0" } }, "develop": {} diff --git a/test/data/collections.json b/test/data/collections.json index 11ca40e..a67b8ff 100644 --- a/test/data/collections.json +++ b/test/data/collections.json @@ -31,6 +31,66 @@ "num_annotations": 375 } }, + { + "collection": { + "creator_id": "ada", + "annotators": ["ada"], + "viewers": ["ada"], + "labels": ["geo", "gpe", "per", "org", "tim", "art"], + "metadata": { + "title": "Small Collection", + "description": "This is a small collection" + }, + "archived": false, + "configuration": { + "allow_overlapping_ner_annotations": true + } + }, "classifier": { + "pipelineId": "5babb6ee4eb7dd2c39b9671d", + "overlap": 0, + "train_every": 5, + "classifierParameters": { + "cutoff": 1, + "iterations": 5 + } + }, "documents": { + "ner_annotations": { + "csv_file": "./ner_dataset.csv", + "sentences_per_doc": 10 + }, + "num_docs": 10 + } + }, + { + "collection": { + "creator_id": "ada", + "annotators": ["ada"], + "viewers": ["ada"], + "labels": ["geo", "gpe", "per", "org", "tim", "art"], + "metadata": { + "title": "Small Collection OpenNLP", + "description": "This is a small collection using OpenNLP pipeline" + }, + "archived": false, + "configuration": { + "allow_overlapping_ner_annotations": true + } + }, "classifier": { + "pipelineId": "5babb6ee4eb7dd2c39b9671c", + "overlap": 0, + "train_every": 5, + "classifierParameters": { + "cutoff": 1, + "iterations": 5 + } + }, "documents": { + "ner_annotations": { + "csv_file": "./ner_dataset.csv", + "sentences_per_doc": 10 + }, + "num_docs": 10 + } + }, { "collection": { "creator_id": "margaret", diff --git a/test/docker/pytest/docker_run.sh b/test/docker/pytest/docker_run.sh index a8fc2af..68827d5 100755 --- a/test/docker/pytest/docker_run.sh +++ b/test/docker/pytest/docker_run.sh @@ -19,4 +19,4 @@ done sleep 5 cd tests/ -pytest pytest/ $@ +pytest pytest/ --verbose $@ diff --git a/test/tests/pytest/02_collections_test.py b/test/tests/pytest/02_collections_test.py index c0b76ee..df070a9 100644 --- a/test/tests/pytest/02_collections_test.py +++ b/test/tests/pytest/02_collections_test.py @@ -163,3 +163,47 @@ def test_collection_user_permissions(): "archive": True, "delete_documents": True } + +def test_collection_creation_and_get_and_archive(): + client = common.login_with_test_user(common.client()) + pipeline_id = [p for p in client.get_pipelines() if p["name"].lower() == "spacy"][0]["_id"] + assert pipeline_id is not None + my_id = client.get_my_user_id() + assert my_id is not None + + collection_builder = client.collection_builder() \ + .viewer(my_id) \ + .annotator(my_id) \ + .label("label") \ + .title("Collection to Test Creation") \ + .description("This is a collection for pytest to test creation.") \ + .classifier(pipeline_id, train_every=100) + collection_id = client.create_collection(collection_builder) + assert type(collection_id) is str + + try: + collection = client.get_collection(collection_id) + assert type(collection) is dict + + assert collection["_id"] == collection_id + assert collection["creator_id"] == my_id + assert collection["annotators"] == [my_id] + assert collection["viewers"] == [my_id] + assert collection["archived"] == False + assert collection["labels"] == ["label"] + assert collection["metadata"] == { + "title": "Collection to Test Creation", + "description": "This is a collection for pytest to test creation." + } + + updated_collection = client.archive_collection(collection_id, True) + assert type(updated_collection) is dict + assert updated_collection["_id"] == collection_id + assert updated_collection["archived"] == True + + updated_collection = client.archive_collection(collection_id, False) + assert type(updated_collection) is dict + assert updated_collection["_id"] == collection_id + assert updated_collection["archived"] == False + finally: + client.archive_collection(collection_id, True) diff --git a/test/tests/pytest/04_pipelines_test.py b/test/tests/pytest/04_pipelines_test.py new file mode 100644 index 0000000..16f5951 --- /dev/null +++ b/test/tests/pytest/04_pipelines_test.py @@ -0,0 +1,226 @@ +# (C) 2019 The Johns Hopkins University Applied Physics Laboratory LLC. + +import csv + +import pytest + +import common +import pine.client.exceptions + +def test_get_and_advance_next_documents(tmp_path): + client = common.login_with_test_user(common.client()) + pipeline_id = [p for p in client.get_pipelines() if p["name"].lower() == "spacy"][0]["_id"] + assert pipeline_id is not None + my_id = client.get_my_user_id() + assert my_id is not None + + # write documents CSV + documents_file = tmp_path / "documents.csv" + with open(documents_file, "w", newline="") as csvfile: + writer = csv.writer(csvfile) + for i in range(5): + writer.writerow(["This is document number {}.".format(i)]) + + collection = client.collection_builder() \ + .viewer(my_id) \ + .annotator(my_id) \ + .label("label") \ + .title("Collection to Test Next Document") \ + .description("This is a collection for pytest to test the next/advance documents feature.") \ + .classifier(pipeline_id, train_every=100, overlap=1) \ + .document_csv_file(documents_file, has_header=False, text_column=0) + collection_id = client.create_collection(collection) + assert collection_id is not None + + document_ids = [d["_id"] for d in client.get_collection_documents(collection_id, True, 1)] + assert len(document_ids) == 5 + + try: + classifier = client.get_collection_classifier(collection_id) + assert classifier is not None + classifier_id = classifier["_id"] + assert classifier_id is not None + + # add more documents + document_ids += [ + client.add_document( + collection_id=collection_id, + overlap=1, + text="This is document number {}.".format(i)) + for i in range(5, 10)] + assert len(document_ids) == 10 + for document_id in document_ids: + assert type(document_id) is str + + next_ids = [] + next_id = client.get_next_document(classifier_id) + while next_id is not None: + assert type(next_id) is str + assert next_id not in next_ids # no duplicates + next_ids.append(next_id) + assert len(next_ids) <= len(document_ids) # sanity check to prevent an infinite loop + updated_document = client.advance_next_document(classifier_id, next_id) + assert type(updated_document) is dict + next_id = client.get_next_document(classifier_id) + assert set(document_ids) == set(next_ids) + finally: + client.archive_collection(collection_id) + +def _check_pipeline_status(status, classifier_id): + assert type(status) is dict + assert "service_details" in status and type(status["service_details"]) is dict + assert "job_id" in status + assert type(status["job_id"]) is str and len(status["job_id"]) != 0 + assert "job_request" in status and type(status["job_request"]) is dict + assert "job_response" in status and type(status["job_response"]) is dict + + request = status["job_request"] + assert "job_data" in request and type(request["job_data"]) is dict + + response = status["job_response"] + assert "classifier_id" in response and classifier_id == response["classifier_id"] + assert "model_dir" in response + assert "pipeline_name" in response + assert "classifier_class" in response + assert "classifier" in response and type(response["classifier"]) is dict + assert (classifier_id != None) == ("has_trained" in response) + +def test_get_pipelines(): + client = common.login_with_test_user(common.client()) + + imported_pipelines = common.test_pipeline_data() + expected_pipeline_ids = [pipeline["_id"] for pipeline in imported_pipelines] + + pipelines = client.get_pipelines() + actual_pipeline_ids = [pipeline["_id"] for pipeline in pipelines] + assert set(expected_pipeline_ids) == set(actual_pipeline_ids) + + for pipeline in pipelines: + expected = [p for p in imported_pipelines if p["_id"] == pipeline["_id"]][0] + for key in expected: + assert expected[key] == pipeline[key] + +def test_get_pipeline_status(): + client = common.login_with_test_user(common.client()) + + for pipeline in common.test_pipeline_data(): + status = client.get_pipeline_status(pipeline["_id"]) + _check_pipeline_status(status, None) + +def test_get_collection_classifier(): + client = common.login_with_test_user(common.client()) + + # make sure that a correct classifier is returned for each collection + for collection in client.list_collections(): + classifier = client.get_collection_classifier(collection["_id"]) + assert type(classifier) is dict + assert classifier["collection_id"] == collection["_id"] + assert classifier["pipeline_id"] is not None + +def test_get_classifier_status(): + client = common.login_with_test_user(common.client()) + + for collection in client.list_collections(): + classifier = client.get_collection_classifier(collection["_id"]) + status = client.get_classifier_status(classifier["_id"]) + _check_pipeline_status(status, classifier["_id"]) + +def _test_train_and_predict(collection_title): + client = common.login_with_test_user(common.client()) + + collection = common.get_collection(client, collection_title) + assert collection is not None + collection_id = collection["_id"] + assert collection_id is not None + labels = collection["labels"] + assert labels is not None and len(labels) > 0 + classifier_id = client.get_collection_classifier(collection_id)["_id"] + assert classifier_id is not None + first_document = client.get_collection_documents(collection_id, truncate=False)[0] + document_id = first_document["_id"] + document_text = first_document["text"] + assert document_text.startswith("Thousands of demonstrators have ") + + # train + train_job_data = client.classifier_train(classifier_id) + assert train_job_data is not None + assert "request" in train_job_data + assert isinstance(train_job_data["request"], dict) + assert "job_id" in train_job_data["request"] + train_job_id = train_job_data["request"]["job_id"] + assert train_job_id is not None + common.wait_for_job_to_finish(client, classifier_id, train_job_id, max_wait_seconds=120) + status = client.get_classifier_status(classifier_id) + _check_pipeline_status(status, classifier_id) + assert status["job_response"]["has_trained"] + + # predict from ID + prediction_job_data = client.classifier_predict(classifier_id, [document_id], []) + assert "job_response" in prediction_job_data and prediction_job_data["job_response"] is not None + docs_by_id = prediction_job_data["job_response"]["documents_by_id"] + texts = prediction_job_data["job_response"]["texts"] + assert docs_by_id.keys() == {document_id} + prediction_from_id = docs_by_id[document_id] + assert len(texts) == 0 + + # predict from text + prediction_job_data = client.classifier_predict(classifier_id, [], [document_text]) + assert "job_response" in prediction_job_data and prediction_job_data["job_response"] is not None + docs_by_id = prediction_job_data["job_response"]["documents_by_id"] + texts = prediction_job_data["job_response"]["texts"] + assert len(docs_by_id) == 0 + assert len(texts) == 1 + prediction_from_text = texts[0] + + # should be the same + assert prediction_from_id == prediction_from_text + + # make sure they're in the right format + assert isinstance(prediction_from_id, dict) + assert "doc" in prediction_from_id and "ner" in prediction_from_id + assert isinstance(prediction_from_id["doc"], list) + for pred in prediction_from_id["doc"]: + assert isinstance(pred, str) + assert pred in labels + assert isinstance(prediction_from_id["ner"], list) + for pred in prediction_from_id["ner"]: + assert isinstance(pred, list) and isinstance(pred[0], int) and isinstance(pred[1], int) and isinstance(pred[2], str) + assert pred[0] >= 0 and pred[1] > pred[0] + assert pred[2] in labels + + return prediction_from_id + +@pytest.mark.flaky(reruns=3) +def test_train_and_predict_spacy(): + prediction = _test_train_and_predict("Small Collection") + assert len(prediction["doc"]) == 0 + preds = prediction["ner"] + # unfortunately the spacy predictions are not the same across runs + # but there are some that seem to consistently be there + common_labels = {'gpe', 'org', 'geo', 'tim'} + common_tokens = [[48, 54], [111, 118], [633, 640], [717, 724], [754, 760], [833, 837], + [852, 858], [972, 976], [1025, 1029], [1200, 1209], [1221, 1225]] + for [s, e] in common_tokens: + found = False + for pred in preds: + if pred[0] == s and pred[1] == e: + if pred[2] not in common_labels: + print(common_labels, pred) + assert pred[2] in common_labels + found = True + break + if not found: + print([s, e], preds) + assert found + +def test_train_and_predict_opennlp(): + prediction = _test_train_and_predict("Small Collection OpenNLP") + assert len(prediction["doc"]) == 0 + preds = prediction["ner"] + assert preds == [[48, 54, 'geo'], [77, 81, 'geo'], [111, 118, 'gpe'], [255, 259, 'per'], + [343, 353, 'geo'], [368, 377, 'geo'], [524, 531, 'geo'], [542, 553, 'org'], + [570, 577, 'gpe'], [596, 604, 'geo'], [633, 640, 'gpe'], [665, 669, 'geo'], + [717, 724, 'gpe'], [754, 760, 'geo'], [833, 837, 'geo'], [840, 845, 'geo'], + [852, 858, 'geo'], [865, 899, 'org'], [934, 940, 'geo'], [941, 950, 'tim'], + [972, 976, 'gpe'], [1025, 1029, 'gpe'], [1089, 1096, 'geo'], [1113, 1120, 'gpe'], + [1200, 1209, 'tim'], [1221, 1225, 'org']] diff --git a/test/tests/pytest/common.py b/test/tests/pytest/common.py index 30bb4cf..e47edf7 100644 --- a/test/tests/pytest/common.py +++ b/test/tests/pytest/common.py @@ -3,6 +3,7 @@ import json import os import sys +import time import typing DIR = os.path.dirname(os.path.realpath(__file__)) @@ -47,6 +48,16 @@ def test_collection_data(title: str = None) -> typing.Union[dict, typing.List[di else: return collections +def test_pipeline_data(id_or_name: str = None) -> typing.Union[dict, typing.List[dict]]: + with open(os.path.join(TEST_DATA_DIR, "pipelines.json"), "r") as f: + pipelines = json.load(f) + if id_or_name: + for pipeline in pipelines: + if pipeline["_id"] == id_or_name or pipeline["name"].lower() == id_or_name.lower(): + return pipeline + else: + return pipelines + def login_with_user(user_id_or_email: str, client: pine.client.LocalPineClient) -> pine.client.LocalPineClient: user = test_user_data(user_id_or_email) assert client.is_logged_in() == False @@ -58,8 +69,21 @@ def login_with_user(user_id_or_email: str, client: pine.client.LocalPineClient) def login_with_test_user(client: pine.client.LocalPineClient) -> pine.client.LocalPineClient: return login_with_user(TEST_USER, client) -def get_collection_id(client, collection_title: str) -> str: +def get_collection(client, collection_title: str) -> dict: for col in client.list_collections(): if col["metadata"]["title"] == collection_title: - return col["_id"] + return col raise AssertionError("Couldn't find collection with title " + collection_title) + +def get_collection_id(client, collection_title: str) -> str: + return get_collection(client, collection_title)["_id"] + +def wait_for_job_to_finish(client: pine.client.LocalPineClient, classifier_id: str, job_id: str, max_wait_seconds = 60): + retry_sleep_s = 5 + slept_seconds = 0 + running_jobs = client.get_classifier_running_jobs(classifier_id) + while job_id in running_jobs and slept_seconds < max_wait_seconds: + time.sleep(retry_sleep_s) + slept_seconds += retry_sleep_s + running_jobs = client.get_classifier_running_jobs(classifier_id) + assert job_id not in running_jobs # timeout diff --git a/update_openapi.sh b/update_openapi.sh new file mode 100755 index 0000000..e33cb87 --- /dev/null +++ b/update_openapi.sh @@ -0,0 +1,32 @@ +#!/bin/bash +# (C) 2021 The Johns Hopkins University Applied Physics Laboratory LLC. + +DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" + +# Find all blueprint-specs. +BP_SPECS=$(cd backend/pine/backend && find . -name 'openapi.yaml' | grep -v './api/openapi.yaml' | sort | awk '{print "/local/" $0}') + +set -ex + +# Join them into one. +docker run --rm \ + -v "${DIR}/backend/pine/backend:/local:rw" \ + -w /local/api \ + redocly/openapi-cli join \ + /local/api/base.yaml \ + ${BP_SPECS} + +# Dereference and lint. +docker run --rm -v "${DIR}/backend/pine/backend:/local:rw" redocly/openapi-cli bundle \ + --lint \ + --dereferenced \ + --output /local/api/openapi.yaml \ + /local/api/openapi.yaml + +# docker run --rm -v "${DIR}/backend/pine/backend:/local:rw" openapitools/openapi-generator-cli generate \ +# -g openapi-yaml \ +# -i /local/api/openapi.yaml -o /local/api \ +# --additional-properties outputFile=openapi.yaml \ +# $@ + +sed -i '1i # (C) 2021 The Johns Hopkins University Applied Physics Laboratory LLC.\n' ${DIR}/backend/pine/backend/api/openapi.yaml \ No newline at end of file

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+\label{\detokenize{autoapi/pine/backend/api/index:module-pine.backend.api}}\label{\detokenize{autoapi/pine/backend/api/index:pine-backend-api}}\label{\detokenize{autoapi/pine/backend/api/index::doc}}\index{module@\spxentry{module}!pine.backend.api@\spxentry{pine.backend.api}}\index{pine.backend.api@\spxentry{pine.backend.api}!module@\spxentry{module}} +\sphinxAtStartPar +This module implements all methods required for SwaggerUI to run on the +backend of PINE. + + +\subparagraph{Submodules} +\label{\detokenize{autoapi/pine/backend/api/index:submodules}} + +\subparagraph{\sphinxstyleliteralintitle{\sphinxupquote{pine.backend.api.bp}}} +\label{\detokenize{autoapi/pine/backend/api/bp/index:module-pine.backend.api.bp}}\label{\detokenize{autoapi/pine/backend/api/bp/index:pine-backend-api-bp}}\label{\detokenize{autoapi/pine/backend/api/bp/index::doc}}\index{module@\spxentry{module}!pine.backend.api.bp@\spxentry{pine.backend.api.bp}}\index{pine.backend.api.bp@\spxentry{pine.backend.api.bp}!module@\spxentry{module}} + +\subparagraph{Module Contents} +\label{\detokenize{autoapi/pine/backend/api/bp/index:module-contents}} + +\subparagraph{Functions} +\label{\detokenize{autoapi/pine/backend/api/bp/index:functions}} + +\begin{savenotes}\sphinxatlongtablestart\begin{longtable}[c]{\X{1}{2}\X{1}{2}} +\hline + +\endfirsthead + +\multicolumn{2}{c}% +{\makebox[0pt]{\sphinxtablecontinued{\tablename\ \thetable{} \textendash{} continued from previous page}}}\\ +\hline + +\endhead + +\hline +\multicolumn{2}{r}{\makebox[0pt][r]{\sphinxtablecontinued{continues on next page}}}\\ +\endfoot + +\endlastfoot + +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.openapi_spec}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{openapi\_spec}}}}}() +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.swagger_ui_index}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{swagger\_ui\_index}}}}}() +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.swagger_ui}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{swagger\_ui}}}}}(file: str) +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.init_app}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{init\_app}}}}}(app) +& +\sphinxAtStartPar + +\\ +\hline +\end{longtable}\sphinxatlongtableend\end{savenotes} +\index{bp (in module pine.backend.api.bp)@\spxentry{bp}\spxextra{in module pine.backend.api.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.bp}}\pysigline{\sphinxcode{\sphinxupquote{pine.backend.api.bp.}}\sphinxbfcode{\sphinxupquote{bp}}} +\end{fulllineitems} + +\index{LOGGER (in module pine.backend.api.bp)@\spxentry{LOGGER}\spxextra{in module pine.backend.api.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.LOGGER}}\pysigline{\sphinxcode{\sphinxupquote{pine.backend.api.bp.}}\sphinxbfcode{\sphinxupquote{LOGGER}}} +\end{fulllineitems} + +\index{openapi\_spec() (in module pine.backend.api.bp)@\spxentry{openapi\_spec()}\spxextra{in module pine.backend.api.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.openapi_spec}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.api.bp.}}\sphinxbfcode{\sphinxupquote{openapi\_spec}}}{}{} +\end{fulllineitems} + +\index{swagger\_ui\_index() (in module pine.backend.api.bp)@\spxentry{swagger\_ui\_index()}\spxextra{in module pine.backend.api.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.swagger_ui_index}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.api.bp.}}\sphinxbfcode{\sphinxupquote{swagger\_ui\_index}}}{}{} +\end{fulllineitems} + +\index{swagger\_ui() (in module pine.backend.api.bp)@\spxentry{swagger\_ui()}\spxextra{in module pine.backend.api.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.swagger_ui}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.api.bp.}}\sphinxbfcode{\sphinxupquote{swagger\_ui}}}{\emph{\DUrole{n}{file}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\end{fulllineitems} + +\index{init\_app() (in module pine.backend.api.bp)@\spxentry{init\_app()}\spxextra{in module pine.backend.api.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/api/bp/index:pine.backend.api.bp.init_app}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.api.bp.}}\sphinxbfcode{\sphinxupquote{init\_app}}}{\emph{\DUrole{n}{app}}}{} +\end{fulllineitems} + + + \subparagraph{\sphinxstyleliteralintitle{\sphinxupquote{pine.backend.auth}}} \label{\detokenize{autoapi/pine/backend/auth/index:module-pine.backend.auth}}\label{\detokenize{autoapi/pine/backend/auth/index:pine-backend-auth}}\label{\detokenize{autoapi/pine/backend/auth/index::doc}}\index{module@\spxentry{module}!pine.backend.auth@\spxentry{pine.backend.auth}}\index{pine.backend.auth@\spxentry{pine.backend.auth}!module@\spxentry{module}} @@ -1535,7 +1638,7 @@ Return the collection object for the collection matching the provided collection \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/collections/bp/index:pine.backend.collections.bp.get_overlap_ids}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_overlap\_ids}}}}}(collection\_id) +{\hyperref[\detokenize{autoapi/pine/backend/collections/bp/index:pine.backend.collections.bp.get_overlap_ids}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_overlap\_ids}}}}}(collection\_id: str) & \sphinxAtStartPar Return the list of ids for overlapping documents for the collection matching the provided collection id. @@ -1804,7 +1907,7 @@ Return the collection object for the collection matching the provided collection \index{get\_overlap\_ids() (in module pine.backend.collections.bp)@\spxentry{get\_overlap\_ids()}\spxextra{in module pine.backend.collections.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/collections/bp/index:pine.backend.collections.bp.get_overlap_ids}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.collections.bp.}}\sphinxbfcode{\sphinxupquote{get\_overlap\_ids}}}{\emph{\DUrole{n}{collection\_id}}}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/collections/bp/index:pine.backend.collections.bp.get_overlap_ids}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.collections.bp.}}\sphinxbfcode{\sphinxupquote{get\_overlap\_ids}}}{\emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} \sphinxAtStartPar Return the list of ids for overlapping documents for the collection matching the provided collection id. :param collection\_id: str @@ -1971,6 +2074,13 @@ A collection can also be created with a number of images through FILES fields & \sphinxAtStartPar +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/collections/index:pine.backend.collections.get_overlap_ids}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_overlap\_ids}}}}}(collection\_id: str) +& +\sphinxAtStartPar +Return the list of ids for overlapping documents for the collection matching the provided collection id. \\ \hline \end{longtable}\sphinxatlongtableend\end{savenotes} @@ -1998,6 +2108,17 @@ A collection can also be created with a number of images through FILES fields \phantomsection\label{\detokenize{autoapi/pine/backend/collections/index:pine.backend.collections.get_user_permissions_by_ids}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.collections.}}\sphinxbfcode{\sphinxupquote{get\_user\_permissions\_by\_ids}}}{\emph{\DUrole{n}{collection\_ids}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}models.CollectionUserPermissions\DUrole{p}{{]}}}} \end{fulllineitems} +\index{get\_overlap\_ids() (in module pine.backend.collections)@\spxentry{get\_overlap\_ids()}\spxextra{in module pine.backend.collections}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/collections/index:pine.backend.collections.get_overlap_ids}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.collections.}}\sphinxbfcode{\sphinxupquote{get\_overlap\_ids}}}{\emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\sphinxAtStartPar +Return the list of ids for overlapping documents for the collection matching the provided collection id. +:param collection\_id: str +:return: tuple + +\end{fulllineitems} + \subparagraph{\sphinxstyleliteralintitle{\sphinxupquote{pine.backend.data}}} @@ -3291,6 +3412,13 @@ calling … with all the default options. \endlastfoot +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceJob}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{ServiceJob}}}}} +& +\sphinxAtStartPar +Data class for a service job. +\\ +\hline \sphinxAtStartPar {\hyperref[\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{ServiceManager}}}}} & @@ -3317,6 +3445,38 @@ callable \phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.logger}}\pysigline{\sphinxcode{\sphinxupquote{pine.backend.job\_manager.service.}}\sphinxbfcode{\sphinxupquote{logger}}} \end{fulllineitems} +\index{ServiceJob (class in pine.backend.job\_manager.service)@\spxentry{ServiceJob}\spxextra{class in pine.backend.job\_manager.service}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceJob}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{class }}\sphinxcode{\sphinxupquote{pine.backend.job\_manager.service.}}\sphinxbfcode{\sphinxupquote{ServiceJob}}}{\emph{\DUrole{n}{job\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{request\_body}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}}, \emph{\DUrole{n}{request\_response}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}}}{} +\sphinxAtStartPar +Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sphinxcode{\sphinxupquote{object}}} + +\sphinxAtStartPar +Data class for a service job. + +\sphinxAtStartPar +“Constructor. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{job\_id}} \textendash{} str: job ID + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{request\_body}} \textendash{} dict: job request body + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{request\_response}} \textendash{} dict: job request response + +\end{itemize} + +\end{description}\end{quote} + +\end{fulllineitems} + \index{ServiceManager (class in pine.backend.job\_manager.service)@\spxentry{ServiceManager}\spxextra{class in pine.backend.job\_manager.service}} \begin{fulllineitems} @@ -3451,6 +3611,18 @@ Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sp \phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager.reserved_channels}}\pysigline{\sphinxbfcode{\sphinxupquote{reserved\_channels}}} \end{fulllineitems} +\index{get\_results\_key() (pine.backend.job\_manager.service.ServiceManager class method)@\spxentry{get\_results\_key()}\spxextra{pine.backend.job\_manager.service.ServiceManager class method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager.get_results_key}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{get\_results\_key}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{service\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{job\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}} +\end{fulllineitems} + +\index{get\_running\_jobs\_key() (pine.backend.job\_manager.service.ServiceManager class method)@\spxentry{get\_running\_jobs\_key()}\spxextra{pine.backend.job\_manager.service.ServiceManager class method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager.get_running_jobs_key}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{get\_running\_jobs\_key}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{service\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}} +\end{fulllineitems} + \index{get\_registered\_channels() (pine.backend.job\_manager.service.ServiceManager class method)@\spxentry{get\_registered\_channels()}\spxextra{pine.backend.job\_manager.service.ServiceManager class method}} \begin{fulllineitems} @@ -3484,10 +3656,22 @@ Get list of registered services and registration body if requested. \end{fulllineitems} +\index{\_get\_service\_details() (pine.backend.job\_manager.service.ServiceManager class method)@\spxentry{\_get\_service\_details()}\spxextra{pine.backend.job\_manager.service.ServiceManager class method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager._get_service_details}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{\_get\_service\_details}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{service\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{retry\_count}\DUrole{o}{=}\DUrole{default_value}{10}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + +\index{\_get\_service\_channel() (pine.backend.job\_manager.service.ServiceManager class method)@\spxentry{\_get\_service\_channel()}\spxextra{pine.backend.job\_manager.service.ServiceManager class method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager._get_service_channel}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{\_get\_service\_channel}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{service\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}} +\end{fulllineitems} + \index{send\_service\_request() (pine.backend.job\_manager.service.ServiceManager class method)@\spxentry{send\_service\_request()}\spxextra{pine.backend.job\_manager.service.ServiceManager class method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager.send_service_request}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{send\_service\_request}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{service\_name}}, \emph{\DUrole{n}{data}}, \emph{\DUrole{n}{job\_id}\DUrole{o}{=}\DUrole{default_value}{None}}, \emph{\DUrole{n}{encoder}\DUrole{o}{=}\DUrole{default_value}{None}}}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager.send_service_request}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{send\_service\_request}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{service\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{data}}, \emph{\DUrole{n}{job\_id}\DUrole{o}{=}\DUrole{default_value}{None}}, \emph{\DUrole{n}{encoder}\DUrole{o}{=}\DUrole{default_value}{None}}}{} \sphinxAtStartPar Queue’s a job for the requested service. :type service\_name: str @@ -3498,6 +3682,45 @@ Queue’s a job for the requested service. \end{fulllineitems} +\index{get\_job\_response() (pine.backend.job\_manager.service.ServiceManager class method)@\spxentry{get\_job\_response()}\spxextra{pine.backend.job\_manager.service.ServiceManager class method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager.get_job_response}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{get\_job\_response}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{service\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{job\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{timeout\_in\_s}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}}}}{} +\sphinxAtStartPar +Waits for a response for the given job and returns it. +:param service\_name: str: service name +:param job\_id: str: job ID +:param timeout\_in\_s: int: wait timeout in seconds +:rtype None | dict + +\end{fulllineitems} + +\index{send\_service\_request\_and\_get\_response() (pine.backend.job\_manager.service.ServiceManager class method)@\spxentry{send\_service\_request\_and\_get\_response()}\spxextra{pine.backend.job\_manager.service.ServiceManager class method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager.send_service_request_and_get_response}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{send\_service\_request\_and\_get\_response}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{service\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{data}}, \emph{\DUrole{n}{timeout\_in\_s}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}}}, \emph{\DUrole{n}{job\_id}\DUrole{o}{=}\DUrole{default_value}{None}}, \emph{\DUrole{n}{encoder}\DUrole{o}{=}\DUrole{default_value}{None}}}{{ $\rightarrow$ {\hyperref[\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceJob}]{\sphinxcrossref{pine.backend.job\_manager.service.ServiceJob}}}}} +\sphinxAtStartPar +Sends a service requests, waits for a response, and returns job data. +:param service\_name: str: service name +:param data: job data +:param timeout\_in\_s: int: wait timeout in seconds +:param job\_id: str: optional job ID (or None to auto\sphinxhyphen{}generate one) +:param encoder: optional JSON encoder for job data +:rtype None | ServiceJob + +\end{fulllineitems} + +\index{get\_running\_jobs() (pine.backend.job\_manager.service.ServiceManager class method)@\spxentry{get\_running\_jobs()}\spxextra{pine.backend.job\_manager.service.ServiceManager class method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/job_manager/service/index:pine.backend.job_manager.service.ServiceManager.get_running_jobs}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{get\_running\_jobs}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{service\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}} +\sphinxAtStartPar +Returns running jobs. +:param service\_name: str: service name +:rtype list{[}str{]} + +\end{fulllineitems} + \index{start\_listeners() (pine.backend.job\_manager.service.ServiceManager method)@\spxentry{start\_listeners()}\spxextra{pine.backend.job\_manager.service.ServiceManager method}} \begin{fulllineitems} @@ -4744,6 +4967,62 @@ annotations. Boundary errors for adjacent annotations with the same label are ig \endlastfoot +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_classifier}}}}}(classifier\_id: str) \(\rightarrow\) dict +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._clear_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_clear\_classifier}}}}}(classifier\_id: str) +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier_pipeline}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_classifier\_pipeline}}}}}(classifier\_id: str) \(\rightarrow\) dict +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._check_permissions}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_check\_permissions}}}}}(classifier: dict) +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_pipeline_status}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_pipeline\_status}}}}}(pipeline: str, classifier\_id: str) \(\rightarrow\) dict +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_pipeline_running_jobs}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_pipeline\_running\_jobs}}}}}(pipeline: str, classifier\_id: str) \(\rightarrow\) List{[}str{]} +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._train_pipeline}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_train\_pipeline}}}}}(pipeline: str, classifier\_id: str, model\_name: str) \(\rightarrow\) dict +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._predict_pipeline}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_predict\_pipeline}}}}}(pipeline: str, classifier\_id: str, document\_ids: List{[}str{]}, texts: List{[}str{]}, timeout\_in\_s: int) \(\rightarrow\) dict +& +\sphinxAtStartPar + +\\ +\hline \sphinxAtStartPar {\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_pipelines}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_pipelines}}}}}() & @@ -4752,84 +5031,98 @@ annotations. Boundary errors for adjacent annotations with the same label are ig \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_pipeline_by_id}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_pipeline\_by\_id}}}}}(pipeline\_id) +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_pipeline_by_id}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_pipeline\_by\_id}}}}}(pipeline\_id: str) & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_collection_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_collection\_classifier}}}}}(collection\_id) +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_pipeline_status}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_pipeline\_status}}}}}(pipeline\_id: str) \(\rightarrow\) flask.Response & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_collection_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_collection\_classifier}}}}}(collection\_id) +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier_metrics}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_classifier\_metrics}}}}}(classifier\_id: str) & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier_metrics}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_classifier\_metrics}}}}}(classifier\_id) +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_classifier_metrics}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_classifier\_metrics}}}}}(classifier\_id: str) & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_metrics}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_metrics}}}}}() +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_collection_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_collection\_classifier}}}}}(collection\_id: str) \(\rightarrow\) dict & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_classifier_metrics}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_classifier\_metrics}}}}}(classifier\_id) +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_collection_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_collection\_classifier}}}}}(collection\_id: str) & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_classifier}}}}}(classifier\_id) +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_classifier_status}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_classifier\_status}}}}}(classifier\_id: str) & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_next_instance}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_next\_instance}}}}}(classifier\_id) +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_running_jobs}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_running\_jobs}}}}}(classifier\_id: str) & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_next_by_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_next\_by\_classifier}}}}}(classifier\_id) +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.train}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{train}}}}}(classifier\_id: str) & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.advance_to_next_document_by_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{advance\_to\_next\_document\_by\_classifier}}}}}(classifier\_id, document\_id) +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.predict}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{predict}}}}}(classifier\_id: str) & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.predict}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{predict}}}}}() +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_next_instance}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_get\_next\_instance}}}}}(classifier\_id: str) & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.test_redis}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{test\_redis}}}}}() +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._check_instance_overlap}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{\_check\_instance\_overlap}}}}}(classifier: dict, instance: dict, user\_id: str) +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_next_by_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_next\_by\_classifier}}}}}(classifier\_id: str) +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.advance_to_next_document_by_classifier}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{advance\_to\_next\_document\_by\_classifier}}}}}(classifier\_id: str, document\_id: str) & \sphinxAtStartPar @@ -4861,16 +5154,64 @@ annotations. Boundary errors for adjacent annotations with the same label are ig \phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.bp}}\pysigline{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{bp}}} \end{fulllineitems} -\index{classifier\_dict (in module pine.backend.pipelines.bp)@\spxentry{classifier\_dict}\spxextra{in module pine.backend.pipelines.bp}} +\index{\_cached\_classifiers (in module pine.backend.pipelines.bp)@\spxentry{\_cached\_classifiers}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.classifier_dict}}\pysigline{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{classifier\_dict}}} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._cached_classifiers}}\pysigline{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_cached\_classifiers}}} \end{fulllineitems} -\index{classifier\_pipelines (in module pine.backend.pipelines.bp)@\spxentry{classifier\_pipelines}\spxextra{in module pine.backend.pipelines.bp}} +\index{\_cached\_classifier\_pipelines (in module pine.backend.pipelines.bp)@\spxentry{\_cached\_classifier\_pipelines}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.classifier_pipelines}}\pysigline{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{classifier\_pipelines}}} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._cached_classifier_pipelines}}\pysigline{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_cached\_classifier\_pipelines}}} +\end{fulllineitems} + +\index{\_get\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_classifier}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + +\index{\_clear\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{\_clear\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._clear_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_clear\_classifier}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\end{fulllineitems} + +\index{\_get\_classifier\_pipeline() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_classifier\_pipeline()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier_pipeline}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_classifier\_pipeline}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + +\index{\_check\_permissions() (in module pine.backend.pipelines.bp)@\spxentry{\_check\_permissions()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._check_permissions}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_check\_permissions}}}{\emph{\DUrole{n}{classifier}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}}}{} +\end{fulllineitems} + +\index{\_get\_pipeline\_status() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_pipeline\_status()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_pipeline_status}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_pipeline\_status}}}{\emph{\DUrole{n}{pipeline}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + +\index{\_get\_pipeline\_running\_jobs() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_pipeline\_running\_jobs()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_pipeline_running_jobs}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_pipeline\_running\_jobs}}}{\emph{\DUrole{n}{pipeline}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}} +\end{fulllineitems} + +\index{\_train\_pipeline() (in module pine.backend.pipelines.bp)@\spxentry{\_train\_pipeline()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._train_pipeline}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_train\_pipeline}}}{\emph{\DUrole{n}{pipeline}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{model\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + +\index{\_predict\_pipeline() (in module pine.backend.pipelines.bp)@\spxentry{\_predict\_pipeline()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._predict_pipeline}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_predict\_pipeline}}}{\emph{\DUrole{n}{pipeline}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{texts}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{timeout\_in\_s}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} \end{fulllineitems} \index{get\_pipelines() (in module pine.backend.pipelines.bp)@\spxentry{get\_pipelines()}\spxextra{in module pine.backend.pipelines.bp}} @@ -4882,73 +5223,85 @@ annotations. Boundary errors for adjacent annotations with the same label are ig \index{get\_pipeline\_by\_id() (in module pine.backend.pipelines.bp)@\spxentry{get\_pipeline\_by\_id()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_pipeline_by_id}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_pipeline\_by\_id}}}{\emph{\DUrole{n}{pipeline\_id}}}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_pipeline_by_id}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_pipeline\_by\_id}}}{\emph{\DUrole{n}{pipeline\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} \end{fulllineitems} -\index{\_get\_collection\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_collection\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} +\index{get\_pipeline\_status() (in module pine.backend.pipelines.bp)@\spxentry{get\_pipeline\_status()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_collection_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_collection\_classifier}}}{\emph{\DUrole{n}{collection\_id}}}{} -\end{fulllineitems} - -\index{get\_collection\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{get\_collection\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} - -\begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_collection_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_collection\_classifier}}}{\emph{\DUrole{n}{collection\_id}}}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_pipeline_status}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_pipeline\_status}}}{\emph{\DUrole{n}{pipeline\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://flask.palletsprojects.com/en/1.1.x/api/\#flask.Response}{flask.Response}}} \end{fulllineitems} \index{\_get\_classifier\_metrics() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_classifier\_metrics()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier_metrics}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_classifier\_metrics}}}{\emph{\DUrole{n}{classifier\_id}}}{} -\end{fulllineitems} - -\index{get\_metrics() (in module pine.backend.pipelines.bp)@\spxentry{get\_metrics()}\spxextra{in module pine.backend.pipelines.bp}} - -\begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_metrics}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_metrics}}}{}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier_metrics}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_classifier\_metrics}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} \end{fulllineitems} \index{get\_classifier\_metrics() (in module pine.backend.pipelines.bp)@\spxentry{get\_classifier\_metrics()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_classifier_metrics}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_classifier\_metrics}}}{\emph{\DUrole{n}{classifier\_id}}}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_classifier_metrics}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_classifier\_metrics}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} \end{fulllineitems} -\index{\_get\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} +\index{\_get\_collection\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_collection\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_classifier}}}{\emph{\DUrole{n}{classifier\_id}}}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_collection_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_collection\_classifier}}}{\emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} \end{fulllineitems} -\index{\_get\_next\_instance() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_next\_instance()}\spxextra{in module pine.backend.pipelines.bp}} +\index{get\_collection\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{get\_collection\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_next_instance}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_next\_instance}}}{\emph{\DUrole{n}{classifier\_id}}}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_collection_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_collection\_classifier}}}{\emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} \end{fulllineitems} -\index{get\_next\_by\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{get\_next\_by\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} +\index{get\_classifier\_status() (in module pine.backend.pipelines.bp)@\spxentry{get\_classifier\_status()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_next_by_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_next\_by\_classifier}}}{\emph{\DUrole{n}{classifier\_id}}}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_classifier_status}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_classifier\_status}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} \end{fulllineitems} -\index{advance\_to\_next\_document\_by\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{advance\_to\_next\_document\_by\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} +\index{get\_running\_jobs() (in module pine.backend.pipelines.bp)@\spxentry{get\_running\_jobs()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.advance_to_next_document_by_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{advance\_to\_next\_document\_by\_classifier}}}{\emph{\DUrole{n}{classifier\_id}}, \emph{\DUrole{n}{document\_id}}}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_running_jobs}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_running\_jobs}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\end{fulllineitems} + +\index{train() (in module pine.backend.pipelines.bp)@\spxentry{train()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.train}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{train}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} \end{fulllineitems} \index{predict() (in module pine.backend.pipelines.bp)@\spxentry{predict()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.predict}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{predict}}}{}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.predict}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} \end{fulllineitems} -\index{test\_redis() (in module pine.backend.pipelines.bp)@\spxentry{test\_redis()}\spxextra{in module pine.backend.pipelines.bp}} +\index{\_get\_next\_instance() (in module pine.backend.pipelines.bp)@\spxentry{\_get\_next\_instance()}\spxextra{in module pine.backend.pipelines.bp}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.test_redis}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{test\_redis}}}{}{} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._get_next_instance}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_get\_next\_instance}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\end{fulllineitems} + +\index{\_check\_instance\_overlap() (in module pine.backend.pipelines.bp)@\spxentry{\_check\_instance\_overlap()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp._check_instance_overlap}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{\_check\_instance\_overlap}}}{\emph{\DUrole{n}{classifier}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}}, \emph{\DUrole{n}{instance}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}}, \emph{\DUrole{n}{user\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\end{fulllineitems} + +\index{get\_next\_by\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{get\_next\_by\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.get_next_by_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{get\_next\_by\_classifier}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\end{fulllineitems} + +\index{advance\_to\_next\_document\_by\_classifier() (in module pine.backend.pipelines.bp)@\spxentry{advance\_to\_next\_document\_by\_classifier()}\spxextra{in module pine.backend.pipelines.bp}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/backend/pipelines/bp/index:pine.backend.pipelines.bp.advance_to_next_document_by_classifier}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.backend.pipelines.bp.}}\sphinxbfcode{\sphinxupquote{advance\_to\_next\_document\_by\_classifier}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{document\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} \end{fulllineitems} \index{init\_app() (in module pine.backend.pipelines.bp)@\spxentry{init\_app()}\spxextra{in module pine.backend.pipelines.bp}} @@ -7502,6 +7855,29 @@ all pipelines accessible to logged in user \end{fulllineitems} +\index{get\_pipeline\_status() (pine.client.client.PineClient method)@\spxentry{get\_pipeline\_status()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.get_pipeline_status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_pipeline\_status}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{pipeline\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Returns status for the given pipeline. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{pipeline\_id}} \textendash{} str: pipeline ID + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +pipeline status + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + \index{collection\_builder() (pine.client.client.PineClient method)@\spxentry{collection\_builder()}\spxextra{pine.client.client.PineClient method}} \begin{fulllineitems} @@ -7563,6 +7939,36 @@ the created collection’s ID \end{fulllineitems} +\index{archive\_collection() (pine.client.client.PineClient method)@\spxentry{archive\_collection()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.archive_collection}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{archive\_collection}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{archive}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#bool}{bool}} \DUrole{o}{=} \DUrole{default_value}{True}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Archives or unarchives the given collection. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{collection\_id}} \textendash{} str: the ID of the collection + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{archive}} \textendash{} bool: whether to archive (True) or unarchive (False) the collection + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +updated collection information + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + \index{get\_collection\_permissions() (pine.client.client.PineClient method)@\spxentry{get\_collection\_permissions()}\spxextra{pine.client.client.PineClient method}} \begin{fulllineitems} @@ -7620,6 +8026,91 @@ all the documents in the given collection \end{fulllineitems} +\index{get\_collection\_classifier() (pine.client.client.PineClient method)@\spxentry{get\_collection\_classifier()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.get_collection_classifier}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_collection\_classifier}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Returns the classifier associated with the given collection. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{collection\_id}} (\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{\sphinxstyleliteralemphasis{\sphinxupquote{str}}}) \textendash{} the ID of the collection + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the classifier associated with the given collection + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{get\_next\_document() (pine.client.client.PineClient method)@\spxentry{get\_next\_document()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.get_next_document}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_next\_document}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}} +\sphinxAtStartPar +Returns the ‘next’ document associated with the given classifier. + +\sphinxAtStartPar +The next document is the one that the model suggests should be annotated by the logged\sphinxhyphen{}in +user next. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: ID of the classifier + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the next document ID, or None if there are none left to annotate + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{advance\_next\_document() (pine.client.client.PineClient method)@\spxentry{advance\_next\_document()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.advance_next_document}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{advance\_next\_document}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{document\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Advances the ‘next’ document associated with the given classifier by marking the +given document as annotated. + +\sphinxAtStartPar +The next document is the one that the model suggests should be annotated by the logged\sphinxhyphen{}in +user next. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: ID of the classifier + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{document\_id}} \textendash{} str: the ID of the document that was annotated + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +information on the advanced instance + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + \index{add\_document() (pine.client.client.PineClient method)@\spxentry{add\_document()}\spxextra{pine.client.client.PineClient method}} \begin{fulllineitems} @@ -7896,6 +8387,82 @@ the annotation IDs \end{fulllineitems} +\index{get\_my\_document\_annotations() (pine.client.client.PineClient method)@\spxentry{get\_my\_document\_annotations()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.get_my_document_annotations}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_my\_document\_annotations}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{document\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}\DUrole{p}{{]}}\DUrole{p}{{]}}}} +\sphinxAtStartPar +Returns annotations for the given document for the logged in user. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{document\_id}} \textendash{} the ID of the document to get annotations for + +\item[{Raises}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientValueException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientValueException}}}}} \textendash{} if the document ID is not a valid string + +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientAuthException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientAuthException}}}}} \textendash{} if not logged in + +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientHttpException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientHttpException}}}}} \textendash{} if the HTTP request returns an error + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the annotations for the given document for the logged in user + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}(\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}(\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict})) + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{get\_others\_document\_annotations() (pine.client.client.PineClient method)@\spxentry{get\_others\_document\_annotations()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.get_others_document_annotations}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_others\_document\_annotations}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{document\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}List\DUrole{p}{{]}}}} +\sphinxAtStartPar +Returns annotations for the given document for users other than the logged in user. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{document\_id}} \textendash{} the ID of the document to get annotations for + +\item[{Raises}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientValueException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientValueException}}}}} \textendash{} if the document ID is not a valid string + +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientAuthException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientAuthException}}}}} \textendash{} if not logged in + +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientHttpException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientHttpException}}}}} \textendash{} if the HTTP request returns an error + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the annotations for the given document for users other than the logged in user + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}(\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}(\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict})) + +\end{description}\end{quote} + +\end{fulllineitems} + \index{list\_collections() (pine.client.client.PineClient method)@\spxentry{list\_collections()}\spxextra{pine.client.client.PineClient method}} \begin{fulllineitems} @@ -7930,6 +8497,29 @@ user’s collections \end{fulllineitems} +\index{get\_collection() (pine.client.client.PineClient method)@\spxentry{get\_collection()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.get_collection}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_collection}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Returns the collection with the given ID. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{collection\_id}} \textendash{} str: the ID of the collection + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the collection data + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + \index{get\_collection\_iaa\_report() (pine.client.client.PineClient method)@\spxentry{get\_collection\_iaa\_report()}\spxextra{pine.client.client.PineClient method}} \begin{fulllineitems} @@ -8020,6 +8610,144 @@ collection data \end{fulllineitems} +\index{get\_classifier\_status() (pine.client.client.PineClient method)@\spxentry{get\_classifier\_status()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.get_classifier_status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_classifier\_status}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Returns the status for the given classifier. +\begin{quote}\begin{description} +\item[{Param}] \leavevmode +\sphinxAtStartPar +classifier\_id: str: classifier ID + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +status for the given classifier + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{classifier\_train() (pine.client.client.PineClient method)@\spxentry{classifier\_train()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.classifier_train}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classifier\_train}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{model\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}} \DUrole{o}{=} \DUrole{default_value}{\textquotesingle{}auto\sphinxhyphen{}trained\textquotesingle{}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Trains the given classifier (using collection documents). + +\sphinxAtStartPar +Note that training is done asynchronously, so this method should return very quickly. One +of the things returned in the dict will be a job ID. If you want to know when the training +has finished, you can periodically poll {\hyperref[\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.get_classifier_running_jobs}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_classifier\_running\_jobs()}}}}} and check +for that job ID. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: classifier ID + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{model\_name}} \textendash{} str: name of model corresponding to filename on disk, defaults to +\sphinxcode{\sphinxupquote{"auto\sphinxhyphen{}trained"}} which is the same as the annotation\sphinxhyphen{}based +model training + +\end{itemize} + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{classifier\_has\_trained() (pine.client.client.PineClient method)@\spxentry{classifier\_has\_trained()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.classifier_has_trained}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classifier\_has\_trained}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/functions.html\#bool}{bool}}} +\sphinxAtStartPar +Returns whether the given classifier has been trained or not. + +\sphinxAtStartPar +If False, future calls to predict will fail. +\begin{quote}\begin{description} +\item[{Param}] \leavevmode +\sphinxAtStartPar +classifier\_id: str: classifier ID + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/functions.html\#bool}{bool} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{classifier\_predict() (pine.client.client.PineClient method)@\spxentry{classifier\_predict()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.classifier_predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classifier\_predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}}, \emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{texts}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{timeout\_in\_s}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}} \DUrole{o}{=} \DUrole{default_value}{36000}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Runs classifier prediction on the given documents. At least one of document\_ids and +texts must be non\sphinxhyphen{}empty. + +\sphinxAtStartPar +This prediction uses the last\sphinxhyphen{}trained model name for that classifier. This method will +block until the prediction has finished and then return the results. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: classifier ID + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{document\_ids}} \textendash{} list{[}str{]}: a list of document IDs to run prediction on + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{texts}} \textendash{} list{[}str{]}: a list of direct document texts to run prediction on + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{timeout\_in\_s}} \textendash{} int: max timeout in seconds before erroring out and returning, defaults +to \sphinxcode{\sphinxupquote{36000}} + +\end{itemize} + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{get\_classifier\_running\_jobs() (pine.client.client.PineClient method)@\spxentry{get\_classifier\_running\_jobs()}\spxextra{pine.client.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/client/index:pine.client.client.PineClient.get_classifier_running_jobs}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_classifier\_running\_jobs}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}} +\sphinxAtStartPar +Gets the list of running job IDs for the given classifier. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: classifier ID + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}{[}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}{]} + +\end{description}\end{quote} + +\end{fulllineitems} + \end{fulllineitems} @@ -10502,6 +11230,29 @@ all pipelines accessible to logged in user \end{fulllineitems} +\index{get\_pipeline\_status() (pine.client.PineClient method)@\spxentry{get\_pipeline\_status()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.get_pipeline_status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_pipeline\_status}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{pipeline\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Returns status for the given pipeline. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{pipeline\_id}} \textendash{} str: pipeline ID + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +pipeline status + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + \index{collection\_builder() (pine.client.PineClient method)@\spxentry{collection\_builder()}\spxextra{pine.client.PineClient method}} \begin{fulllineitems} @@ -10563,6 +11314,36 @@ the created collection’s ID \end{fulllineitems} +\index{archive\_collection() (pine.client.PineClient method)@\spxentry{archive\_collection()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.archive_collection}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{archive\_collection}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{archive}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#bool}{bool}} \DUrole{o}{=} \DUrole{default_value}{True}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Archives or unarchives the given collection. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{collection\_id}} \textendash{} str: the ID of the collection + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{archive}} \textendash{} bool: whether to archive (True) or unarchive (False) the collection + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +updated collection information + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + \index{get\_collection\_permissions() (pine.client.PineClient method)@\spxentry{get\_collection\_permissions()}\spxextra{pine.client.PineClient method}} \begin{fulllineitems} @@ -10620,6 +11401,91 @@ all the documents in the given collection \end{fulllineitems} +\index{get\_collection\_classifier() (pine.client.PineClient method)@\spxentry{get\_collection\_classifier()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.get_collection_classifier}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_collection\_classifier}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Returns the classifier associated with the given collection. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{collection\_id}} (\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{\sphinxstyleliteralemphasis{\sphinxupquote{str}}}) \textendash{} the ID of the collection + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the classifier associated with the given collection + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{get\_next\_document() (pine.client.PineClient method)@\spxentry{get\_next\_document()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.get_next_document}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_next\_document}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}} +\sphinxAtStartPar +Returns the ‘next’ document associated with the given classifier. + +\sphinxAtStartPar +The next document is the one that the model suggests should be annotated by the logged\sphinxhyphen{}in +user next. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: ID of the classifier + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the next document ID, or None if there are none left to annotate + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{advance\_next\_document() (pine.client.PineClient method)@\spxentry{advance\_next\_document()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.advance_next_document}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{advance\_next\_document}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{document\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Advances the ‘next’ document associated with the given classifier by marking the +given document as annotated. + +\sphinxAtStartPar +The next document is the one that the model suggests should be annotated by the logged\sphinxhyphen{}in +user next. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: ID of the classifier + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{document\_id}} \textendash{} str: the ID of the document that was annotated + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +information on the advanced instance + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + \index{add\_document() (pine.client.PineClient method)@\spxentry{add\_document()}\spxextra{pine.client.PineClient method}} \begin{fulllineitems} @@ -10896,6 +11762,82 @@ the annotation IDs \end{fulllineitems} +\index{get\_my\_document\_annotations() (pine.client.PineClient method)@\spxentry{get\_my\_document\_annotations()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.get_my_document_annotations}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_my\_document\_annotations}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{document\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}\DUrole{p}{{]}}\DUrole{p}{{]}}}} +\sphinxAtStartPar +Returns annotations for the given document for the logged in user. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{document\_id}} \textendash{} the ID of the document to get annotations for + +\item[{Raises}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientValueException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientValueException}}}}} \textendash{} if the document ID is not a valid string + +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientAuthException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientAuthException}}}}} \textendash{} if not logged in + +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientHttpException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientHttpException}}}}} \textendash{} if the HTTP request returns an error + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the annotations for the given document for the logged in user + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}(\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}(\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict})) + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{get\_others\_document\_annotations() (pine.client.PineClient method)@\spxentry{get\_others\_document\_annotations()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.get_others_document_annotations}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_others\_document\_annotations}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{document\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}List\DUrole{p}{{]}}}} +\sphinxAtStartPar +Returns annotations for the given document for users other than the logged in user. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{document\_id}} \textendash{} the ID of the document to get annotations for + +\item[{Raises}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientValueException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientValueException}}}}} \textendash{} if the document ID is not a valid string + +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientAuthException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientAuthException}}}}} \textendash{} if not logged in + +\item {} +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/client/exceptions/index:pine.client.exceptions.PineClientHttpException}]{\sphinxcrossref{\sphinxstyleliteralstrong{\sphinxupquote{exceptions.PineClientHttpException}}}}} \textendash{} if the HTTP request returns an error + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the annotations for the given document for users other than the logged in user + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}(\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}(\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict})) + +\end{description}\end{quote} + +\end{fulllineitems} + \index{list\_collections() (pine.client.PineClient method)@\spxentry{list\_collections()}\spxextra{pine.client.PineClient method}} \begin{fulllineitems} @@ -10930,6 +11872,29 @@ user’s collections \end{fulllineitems} +\index{get\_collection() (pine.client.PineClient method)@\spxentry{get\_collection()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.get_collection}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_collection}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Returns the collection with the given ID. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{collection\_id}} \textendash{} str: the ID of the collection + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +the collection data + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + \index{get\_collection\_iaa\_report() (pine.client.PineClient method)@\spxentry{get\_collection\_iaa\_report()}\spxextra{pine.client.PineClient method}} \begin{fulllineitems} @@ -11020,6 +11985,144 @@ collection data \end{fulllineitems} +\index{get\_classifier\_status() (pine.client.PineClient method)@\spxentry{get\_classifier\_status()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.get_classifier_status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_classifier\_status}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Returns the status for the given classifier. +\begin{quote}\begin{description} +\item[{Param}] \leavevmode +\sphinxAtStartPar +classifier\_id: str: classifier ID + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +status for the given classifier + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{classifier\_train() (pine.client.PineClient method)@\spxentry{classifier\_train()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.classifier_train}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classifier\_train}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{model\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}} \DUrole{o}{=} \DUrole{default_value}{\textquotesingle{}auto\sphinxhyphen{}trained\textquotesingle{}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Trains the given classifier (using collection documents). + +\sphinxAtStartPar +Note that training is done asynchronously, so this method should return very quickly. One +of the things returned in the dict will be a job ID. If you want to know when the training +has finished, you can periodically poll {\hyperref[\detokenize{autoapi/pine/client/index:pine.client.PineClient.get_classifier_running_jobs}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{get\_classifier\_running\_jobs()}}}}} and check +for that job ID. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: classifier ID + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{model\_name}} \textendash{} str: name of model corresponding to filename on disk, defaults to +\sphinxcode{\sphinxupquote{"auto\sphinxhyphen{}trained"}} which is the same as the annotation\sphinxhyphen{}based +model training + +\end{itemize} + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{classifier\_has\_trained() (pine.client.PineClient method)@\spxentry{classifier\_has\_trained()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.classifier_has_trained}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classifier\_has\_trained}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/functions.html\#bool}{bool}}} +\sphinxAtStartPar +Returns whether the given classifier has been trained or not. + +\sphinxAtStartPar +If False, future calls to predict will fail. +\begin{quote}\begin{description} +\item[{Param}] \leavevmode +\sphinxAtStartPar +classifier\_id: str: classifier ID + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/functions.html\#bool}{bool} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{classifier\_predict() (pine.client.PineClient method)@\spxentry{classifier\_predict()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.classifier_predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classifier\_predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}}, \emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{texts}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{timeout\_in\_s}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}} \DUrole{o}{=} \DUrole{default_value}{36000}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\sphinxAtStartPar +Runs classifier prediction on the given documents. At least one of document\_ids and +texts must be non\sphinxhyphen{}empty. + +\sphinxAtStartPar +This prediction uses the last\sphinxhyphen{}trained model name for that classifier. This method will +block until the prediction has finished and then return the results. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: classifier ID + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{document\_ids}} \textendash{} list{[}str{]}: a list of document IDs to run prediction on + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{texts}} \textendash{} list{[}str{]}: a list of direct document texts to run prediction on + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{timeout\_in\_s}} \textendash{} int: max timeout in seconds before erroring out and returning, defaults +to \sphinxcode{\sphinxupquote{36000}} + +\end{itemize} + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{get\_classifier\_running\_jobs() (pine.client.PineClient method)@\spxentry{get\_classifier\_running\_jobs()}\spxextra{pine.client.PineClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/client/index:pine.client.PineClient.get_classifier_running_jobs}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_classifier\_running\_jobs}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}} +\sphinxAtStartPar +Gets the list of running job IDs for the given classifier. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{classifier\_id}} \textendash{} str: classifier ID + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list}{[}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}{]} + +\end{description}\end{quote} + +\end{fulllineitems} + \end{fulllineitems} @@ -11847,6 +12950,30 @@ Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sp \phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.processing_queue_key_timeout}}\pysigline{\sphinxbfcode{\sphinxupquote{processing\_queue\_key\_timeout}}} \end{fulllineitems} +\index{results\_queue\_key (pine.pipelines.app.listener.service\_listener.ServiceListener attribute)@\spxentry{results\_queue\_key}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.results_queue_key}}\pysigline{\sphinxbfcode{\sphinxupquote{results\_queue\_key}}} +\end{fulllineitems} + +\index{results\_queue\_key\_timeout (pine.pipelines.app.listener.service\_listener.ServiceListener attribute)@\spxentry{results\_queue\_key\_timeout}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.results_queue_key_timeout}}\pysigline{\sphinxbfcode{\sphinxupquote{results\_queue\_key\_timeout}}} +\end{fulllineitems} + +\index{running\_jobs\_key (pine.pipelines.app.listener.service\_listener.ServiceListener attribute)@\spxentry{running\_jobs\_key}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.running_jobs_key}}\pysigline{\sphinxbfcode{\sphinxupquote{running\_jobs\_key}}} +\end{fulllineitems} + +\index{classifiers\_training\_key (pine.pipelines.app.listener.service\_listener.ServiceListener attribute)@\spxentry{classifiers\_training\_key}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.classifiers_training_key}}\pysigline{\sphinxbfcode{\sphinxupquote{classifiers\_training\_key}}} +\end{fulllineitems} + \index{processing\_lock\_key (pine.pipelines.app.listener.service\_listener.ServiceListener attribute)@\spxentry{processing\_lock\_key}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener attribute}} \begin{fulllineitems} @@ -11889,18 +13016,6 @@ Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sp \phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.registration_channel}}\pysigline{\sphinxbfcode{\sphinxupquote{registration\_channel}}} \end{fulllineitems} -\index{publish\_response() (pine.pipelines.app.listener.service\_listener.ServiceListener class method)@\spxentry{publish\_response()}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener class method}} - -\begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.publish_response}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{publish\_response}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{channel}}, \emph{\DUrole{n}{data}}}{}~\begin{quote}\begin{description} -\item[{Return type}] \leavevmode -\sphinxAtStartPar -\sphinxhref{https://docs.python.org/3/library/functions.html\#bool}{bool} - -\end{description}\end{quote} - -\end{fulllineitems} - \index{start\_workers() (pine.pipelines.app.listener.service\_listener.ServiceListener method)@\spxentry{start\_workers()}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener method}} \begin{fulllineitems} @@ -11925,10 +13040,34 @@ bool | dict \end{fulllineitems} +\index{do\_with\_redis() (pine.pipelines.app.listener.service\_listener.ServiceListener static method)@\spxentry{do\_with\_redis()}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener static method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.do_with_redis}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{static }}\sphinxbfcode{\sphinxupquote{do\_with\_redis}}}{\emph{\DUrole{n}{callback}\DUrole{p}{:} \DUrole{n}{Callable\DUrole{p}{{[}}\DUrole{p}{{[}}redis.StrictRedis\DUrole{p}{{]}}\DUrole{p}{, }typing.Any\DUrole{p}{{]}}}}}{} +\end{fulllineitems} + +\index{push\_results() (pine.pipelines.app.listener.service\_listener.ServiceListener static method)@\spxentry{push\_results()}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener static method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.push_results}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{static }}\sphinxbfcode{\sphinxupquote{push\_results}}}{\emph{\DUrole{n}{job\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{response}}}{} +\end{fulllineitems} + +\index{wait\_until\_classifier\_isnt\_training() (pine.pipelines.app.listener.service\_listener.ServiceListener static method)@\spxentry{wait\_until\_classifier\_isnt\_training()}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener static method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.wait_until_classifier_isnt_training}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{static }}\sphinxbfcode{\sphinxupquote{wait\_until\_classifier\_isnt\_training}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{job\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\end{fulllineitems} + +\index{classifier\_is\_done\_training() (pine.pipelines.app.listener.service\_listener.ServiceListener static method)@\spxentry{classifier\_is\_done\_training()}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener static method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.classifier_is_done_training}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{static }}\sphinxbfcode{\sphinxupquote{classifier\_is\_done\_training}}}{\emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\end{fulllineitems} + \index{process\_message() (pine.pipelines.app.listener.service\_listener.ServiceListener static method)@\spxentry{process\_message()}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener static method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.process_message}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{static }}\sphinxbfcode{\sphinxupquote{process\_message}}}{\emph{\DUrole{n}{job\_details}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/app/listener/service_listener/index:pine.pipelines.app.listener.service_listener.ServiceListener.process_message}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{static }}\sphinxbfcode{\sphinxupquote{process\_message}}}{\emph{\DUrole{n}{job\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{job\_details}}}{} \end{fulllineitems} \index{\_start\_registration\_task() (pine.pipelines.app.listener.service\_listener.ServiceListener method)@\spxentry{\_start\_registration\_task()}\spxextra{pine.pipelines.app.listener.service\_listener.ServiceListener method}} @@ -12146,6 +13285,12 @@ Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sp \phantomsection\label{\detokenize{autoapi/pine/pipelines/shared/config/index:pine.pipelines.shared.config.BaseConfig.REDIS_EXPIRE}}\pysigline{\sphinxbfcode{\sphinxupquote{REDIS\_EXPIRE}}\sphinxbfcode{\sphinxupquote{ = 3600}}} \end{fulllineitems} +\index{REDIS\_MAX\_PROCESSES (pine.pipelines.shared.config.BaseConfig attribute)@\spxentry{REDIS\_MAX\_PROCESSES}\spxextra{pine.pipelines.shared.config.BaseConfig attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/shared/config/index:pine.pipelines.shared.config.BaseConfig.REDIS_MAX_PROCESSES}}\pysigline{\sphinxbfcode{\sphinxupquote{REDIS\_MAX\_PROCESSES}}\sphinxbfcode{\sphinxupquote{ = 10}}} +\end{fulllineitems} + \index{SCHEDULER\_REGISTRATION\_TIMEOUT (pine.pipelines.shared.config.BaseConfig attribute)@\spxentry{SCHEDULER\_REGISTRATION\_TIMEOUT}\spxextra{pine.pipelines.shared.config.BaseConfig attribute}} \begin{fulllineitems} @@ -12523,19 +13668,74 @@ Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sp \index{get\_items() (pine.pipelines.EveClient.EveClient method)@\spxentry{get\_items()}\spxextra{pine.pipelines.EveClient.EveClient method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/EveClient/index:pine.pipelines.EveClient.EveClient.get_items}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_items}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{resource}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/EveClient/index:pine.pipelines.EveClient.EveClient.get_items}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_items}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{resource}}, \emph{\DUrole{n}{params}\DUrole{o}{=}\DUrole{default_value}{\{\}}}}{} +\end{fulllineitems} + +\index{\_get\_documents\_map() (pine.pipelines.EveClient.EveClient method)@\spxentry{\_get\_documents\_map()}\spxextra{pine.pipelines.EveClient.EveClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/EveClient/index:pine.pipelines.EveClient.EveClient._get_documents_map}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{\_get\_documents\_map}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{params}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}} \DUrole{o}{=} \DUrole{default_value}{\{\}}}}{} \end{fulllineitems} \index{get\_documents() (pine.pipelines.EveClient.EveClient method)@\spxentry{get\_documents()}\spxextra{pine.pipelines.EveClient.EveClient method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/EveClient/index:pine.pipelines.EveClient.EveClient.get_documents}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_documents}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/EveClient/index:pine.pipelines.EveClient.EveClient.get_documents}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_documents}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ Dict\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}} +\sphinxAtStartPar +Returns a document map where the document overlap is 0. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{collection\_id}} \textendash{} str: the ID of the collection + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +a mapping from document ID to document text for non\sphinxhyphen{}overlap documents + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict} + +\end{description}\end{quote} + +\end{fulllineitems} + +\index{get\_documents\_by\_id() (pine.pipelines.EveClient.EveClient method)@\spxentry{get\_documents\_by\_id()}\spxextra{pine.pipelines.EveClient.EveClient method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/EveClient/index:pine.pipelines.EveClient.EveClient.get_documents_by_id}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_documents\_by\_id}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{} \end{fulllineitems} \index{get\_docs\_with\_annotations() (pine.pipelines.EveClient.EveClient method)@\spxentry{get\_docs\_with\_annotations()}\spxextra{pine.pipelines.EveClient.EveClient method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/EveClient/index:pine.pipelines.EveClient.EveClient.get_docs_with_annotations}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_docs\_with\_annotations}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}}, \emph{\DUrole{n}{doc\_map}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/EveClient/index:pine.pipelines.EveClient.EveClient.get_docs_with_annotations}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_docs\_with\_annotations}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{collection\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{doc\_map}\DUrole{p}{:} \DUrole{n}{Dict\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{{ $\rightarrow$ Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/typing.html\#typing.List}{typing.List}\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/typing.html\#typing.List}{typing.List}\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/typing.html\#typing.List}{typing.List}\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/typing.html\#typing.List}{typing.List}\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}\DUrole{p}{{]}}}} +\sphinxAtStartPar +Gets document and annotation data. Only non\sphinxhyphen{}overlapping documents are returned. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{collection\_id}} \textendash{} str: the ID of the collection + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{doc\_map}} \textendash{} dict{[}str, str{]}: map of document IDs to document text + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +(documents, labels, doc\_ids, ann\_ids) where documents is a list of the texts, +labels is a list of the annotations, doc\_ids is a list of the document IDs, and +ann\_ids is a list of the annotation IDs + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#tuple}{tuple} + +\end{description}\end{quote} + \end{fulllineitems} \index{update() (pine.pipelines.EveClient.EveClient method)@\spxentry{update()}\spxextra{pine.pipelines.EveClient.EveClient method}} @@ -12703,22 +13903,60 @@ Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sp \phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api}}\pysigline{\sphinxbfcode{\sphinxupquote{class }}\sphinxcode{\sphinxupquote{pine.pipelines.NER\_API.}}\sphinxbfcode{\sphinxupquote{ner\_api}}} \sphinxAtStartPar Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sphinxcode{\sphinxupquote{object}}} +\index{status() (pine.pipelines.NER\_API.ner\_api method)@\spxentry{status()}\spxextra{pine.pipelines.NER\_API.ner\_api method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api.status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{status}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{pipeline\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + \index{perform\_fold() (pine.pipelines.NER\_API.ner\_api method)@\spxentry{perform\_fold()}\spxextra{pine.pipelines.NER\_API.ner\_api method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api.perform_fold}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{perform\_fold}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model}}, \emph{\DUrole{n}{train\_data}}, \emph{\DUrole{n}{test\_data}}, \emph{\DUrole{n}{pipeline\_parameters}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api.perform_fold}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{perform\_fold}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model}\DUrole{p}{:} \DUrole{n}{{\hyperref[\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER}]{\sphinxcrossref{pine.pipelines.pmap\_ner.NER}}}}}, \emph{\DUrole{n}{train\_data}}, \emph{\DUrole{n}{test\_data}}, \emph{\DUrole{o}{**}\DUrole{n}{pipeline\_parameters}}}{} \end{fulllineitems} \index{perform\_five\_fold() (pine.pipelines.NER\_API.ner\_api method)@\spxentry{perform\_five\_fold()}\spxextra{pine.pipelines.NER\_API.ner\_api method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api.perform_five_fold}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{perform\_five\_fold}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model}}, \emph{\DUrole{n}{documents}}, \emph{\DUrole{n}{annotations}}, \emph{\DUrole{n}{doc\_ids}}, \emph{\DUrole{n}{pipeline\_parameters}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api.perform_five_fold}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{perform\_five\_fold}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model}\DUrole{p}{:} \DUrole{n}{{\hyperref[\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER}]{\sphinxcrossref{pine.pipelines.pmap\_ner.NER}}}}}, \emph{\DUrole{n}{documents}}, \emph{\DUrole{n}{annotations}}, \emph{\DUrole{n}{doc\_ids}}, \emph{\DUrole{o}{**}\DUrole{n}{pipeline\_parameters}}}{} \end{fulllineitems} \index{get\_document\_ranking() (pine.pipelines.NER\_API.ner\_api method)@\spxentry{get\_document\_ranking()}\spxextra{pine.pipelines.NER\_API.ner\_api method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api.get_document_ranking}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_document\_ranking}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model}}, \emph{\DUrole{n}{doc\_map}}, \emph{\DUrole{n}{doc\_ids}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api.get_document_ranking}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_document\_ranking}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model}\DUrole{p}{:} \DUrole{n}{{\hyperref[\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER}]{\sphinxcrossref{pine.pipelines.pmap\_ner.NER}}}}}, \emph{\DUrole{n}{doc\_map}\DUrole{p}{:} \DUrole{n}{Dict\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{doc\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}} +\sphinxAtStartPar +Calculates document rankings and returns document IDs sorted by ranking. + +\sphinxAtStartPar +The ranking should be which documents should be evaluated first. This probably +corresponds in some ways to the documents which the model is least confident about. +\begin{quote}\begin{description} +\item[{Parameters}] \leavevmode\begin{itemize} +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{model}} \textendash{} NER model + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{doc\_map}} \textendash{} dict: mapping of document IDs to document text where overlap is 0 + +\item {} +\sphinxAtStartPar +\sphinxstyleliteralstrong{\sphinxupquote{doc\_ids}} \textendash{} list: IDs of documents where ??? + +\end{itemize} + +\item[{Returns}] \leavevmode +\sphinxAtStartPar +sorted document IDs + +\item[{Return type}] \leavevmode +\sphinxAtStartPar +\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#list}{list} + +\end{description}\end{quote} + \end{fulllineitems} \index{get\_classifier\_pipeline\_metrics\_objs() (pine.pipelines.NER\_API.ner\_api method)@\spxentry{get\_classifier\_pipeline\_metrics\_objs()}\spxextra{pine.pipelines.NER\_API.ner\_api method}} @@ -12736,7 +13974,7 @@ Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sp \index{predict() (pine.pipelines.NER\_API.ner\_api method)@\spxentry{predict()}\spxextra{pine.pipelines.NER\_API.ner\_api method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}}, \emph{\DUrole{n}{pipeline\_name}}, \emph{\DUrole{n}{documents}}, \emph{\DUrole{n}{document\_ids}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/NER_API/index:pine.pipelines.NER_API.ner_api.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{classifier\_id}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{pipeline\_name}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}, \emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{texts}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{} \end{fulllineitems} @@ -12771,66 +14009,72 @@ Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sp \endlastfoot \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.rank}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{rank}}}}}(results, metric) +{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.rank}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{rank}}}}}(document\_ids: List{[}str{]}, results: List{[}DocumentPredictionProbabilities{]}, metric: str) \(\rightarrow\) List{[}Tuple{[}str, float{]}{]} & \sphinxAtStartPar if metric == ‘lc’: return least\_confidence(results) \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{least\_confidence}}}}}(results) +{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{least\_confidence}}}}}(document\_ids: List{[}str{]}, results: List{[}DocumentPredictionProbabilities{]}) \(\rightarrow\) List{[}Tuple{[}str, float{]}{]} & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence_squared}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{least\_confidence\_squared}}}}}(results) +{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence_squared}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{least\_confidence\_squared}}}}}(document\_ids: List{[}str{]}, results: List{[}DocumentPredictionProbabilities{]}) \(\rightarrow\) List{[}Tuple{[}str, float{]}{]} & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence_squared_by_entity}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{least\_confidence\_squared\_by\_entity}}}}}(results) +{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence_squared_by_entity}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{least\_confidence\_squared\_by\_entity}}}}}(document\_ids: List{[}str{]}, results: List{[}DocumentPredictionProbabilities{]}) \(\rightarrow\) List{[}Tuple{[}str, float{]}{]} & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.largest_margin}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{largest\_margin}}}}}(results) +{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.largest_margin}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{largest\_margin}}}}}(document\_ids: List{[}str{]}, results: List{[}DocumentPredictionProbabilities{]}) \(\rightarrow\) List{[}Tuple{[}str, float{]}{]} & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.entropy_rank}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{entropy\_rank}}}}}(results, N=None) +{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.entropy_rank}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{entropy\_rank}}}}}(document\_ids: List{[}str{]}, results: List{[}DocumentPredictionProbabilities{]}, N=None) \(\rightarrow\) List{[}Tuple{[}str, float{]}{]} & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.random_rank}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{random\_rank}}}}}(results) +{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.random_rank}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{random\_rank}}}}}(document\_ids: List{[}str{]}, results: List{[}DocumentPredictionProbabilities{]}) \(\rightarrow\) List{[}Tuple{[}str, float{]}{]} & \sphinxAtStartPar \\ \hline \sphinxAtStartPar -{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.most_of_least_popular}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{most\_of\_least\_popular}}}}}(results) +{\hyperref[\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.most_of_least_popular}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{most\_of\_least\_popular}}}}}(document\_ids: List{[}str{]}, results: List{[}DocumentPredictionProbabilities{]}) \(\rightarrow\) List{[}Tuple{[}str, float{]}{]} & \sphinxAtStartPar \\ \hline \end{longtable}\sphinxatlongtableend\end{savenotes} +\index{logger (in module pine.pipelines.RankingFunctions)@\spxentry{logger}\spxextra{in module pine.pipelines.RankingFunctions}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.logger}}\pysigline{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{logger}}} +\end{fulllineitems} + \index{rank() (in module pine.pipelines.RankingFunctions)@\spxentry{rank()}\spxextra{in module pine.pipelines.RankingFunctions}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.rank}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{rank}}}{\emph{\DUrole{n}{results}}, \emph{\DUrole{n}{metric}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.rank}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{rank}}}{\emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{results}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}}, \emph{\DUrole{n}{metric}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}} \sphinxAtStartPar if metric == ‘lc’: return least\_confidence(results) if metric == ‘ma’: return largest\_margin(results) @@ -12849,43 +14093,43 @@ return \sphinxhyphen{}1 \index{least\_confidence() (in module pine.pipelines.RankingFunctions)@\spxentry{least\_confidence()}\spxextra{in module pine.pipelines.RankingFunctions}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{least\_confidence}}}{\emph{\DUrole{n}{results}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{least\_confidence}}}{\emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{results}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}} \end{fulllineitems} \index{least\_confidence\_squared() (in module pine.pipelines.RankingFunctions)@\spxentry{least\_confidence\_squared()}\spxextra{in module pine.pipelines.RankingFunctions}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence_squared}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{least\_confidence\_squared}}}{\emph{\DUrole{n}{results}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence_squared}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{least\_confidence\_squared}}}{\emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{results}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}} \end{fulllineitems} \index{least\_confidence\_squared\_by\_entity() (in module pine.pipelines.RankingFunctions)@\spxentry{least\_confidence\_squared\_by\_entity()}\spxextra{in module pine.pipelines.RankingFunctions}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence_squared_by_entity}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{least\_confidence\_squared\_by\_entity}}}{\emph{\DUrole{n}{results}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.least_confidence_squared_by_entity}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{least\_confidence\_squared\_by\_entity}}}{\emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{results}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}} \end{fulllineitems} \index{largest\_margin() (in module pine.pipelines.RankingFunctions)@\spxentry{largest\_margin()}\spxextra{in module pine.pipelines.RankingFunctions}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.largest_margin}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{largest\_margin}}}{\emph{\DUrole{n}{results}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.largest_margin}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{largest\_margin}}}{\emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{results}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}} \end{fulllineitems} \index{entropy\_rank() (in module pine.pipelines.RankingFunctions)@\spxentry{entropy\_rank()}\spxextra{in module pine.pipelines.RankingFunctions}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.entropy_rank}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{entropy\_rank}}}{\emph{\DUrole{n}{results}}, \emph{\DUrole{n}{N}\DUrole{o}{=}\DUrole{default_value}{None}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.entropy_rank}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{entropy\_rank}}}{\emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{results}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}}, \emph{\DUrole{n}{N}\DUrole{o}{=}\DUrole{default_value}{None}}}{{ $\rightarrow$ List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}} \end{fulllineitems} \index{random\_rank() (in module pine.pipelines.RankingFunctions)@\spxentry{random\_rank()}\spxextra{in module pine.pipelines.RankingFunctions}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.random_rank}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{random\_rank}}}{\emph{\DUrole{n}{results}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.random_rank}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{random\_rank}}}{\emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{results}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}} \end{fulllineitems} \index{most\_of\_least\_popular() (in module pine.pipelines.RankingFunctions)@\spxentry{most\_of\_least\_popular()}\spxextra{in module pine.pipelines.RankingFunctions}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.most_of_least_popular}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{most\_of\_least\_popular}}}{\emph{\DUrole{n}{results}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/RankingFunctions/index:pine.pipelines.RankingFunctions.most_of_least_popular}}\pysiglinewithargsret{\sphinxcode{\sphinxupquote{pine.pipelines.RankingFunctions.}}\sphinxbfcode{\sphinxupquote{most\_of\_least\_popular}}}{\emph{\DUrole{n}{document\_ids}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{results}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}} \end{fulllineitems} @@ -12990,28 +14234,52 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.__props}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_props}}} \end{fulllineitems} +\index{\_\_is\_setup (pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER attribute)@\spxentry{\_\_is\_setup}\spxextra{pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.__is_setup}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_is\_setup}}\sphinxbfcode{\sphinxupquote{ = False}}} +\end{fulllineitems} + \index{\_\_id (pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER attribute)@\spxentry{\_\_id}\spxextra{pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER attribute}} \begin{fulllineitems} \phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.__id}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_id}}} \end{fulllineitems} +\index{\_\_default\_fit\_params (pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER attribute)@\spxentry{\_\_default\_fit\_params}\spxextra{pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.__default_fit_params}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_default\_fit\_params}}} +\end{fulllineitems} + +\index{setup() (pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER class method)@\spxentry{setup()}\spxextra{pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER class method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.setup}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{setup}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{java\_dir}\DUrole{o}{=}\DUrole{default_value}{None}}, \emph{\DUrole{n}{ner\_path}\DUrole{o}{=}\DUrole{default_value}{None}}}{} +\end{fulllineitems} + +\index{status() (pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method)@\spxentry{status()}\spxextra{pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{status}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + \index{fit() (pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method)@\spxentry{fit()}\spxextra{pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}, \emph{\DUrole{n}{params}\DUrole{o}{=}\DUrole{default_value}{None}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}, \emph{\DUrole{o}{**}\DUrole{n}{params}}}{} \end{fulllineitems} \index{predict() (pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method)@\spxentry{predict()}\spxextra{pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}DocumentPredictions\DUrole{p}{{]}}}} \end{fulllineitems} \index{predict\_proba() (pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method)@\spxentry{predict\_proba()}\spxextra{pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}, \emph{\DUrole{n}{get\_all\_labels}\DUrole{o}{=}\DUrole{default_value}{False}}, \emph{\DUrole{n}{include\_other}\DUrole{o}{=}\DUrole{default_value}{False}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/corenlp_NER_pipeline/index:pine.pipelines.corenlp_NER_pipeline.corenlp_NER.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{get\_all\_labels}\DUrole{o}{=}\DUrole{default_value}{False}}, \emph{\DUrole{n}{include\_other}\DUrole{o}{=}\DUrole{default_value}{False}}, \emph{\DUrole{o}{**}\DUrole{n}{kwargs}}}{{ $\rightarrow$ List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}} \end{fulllineitems} \index{next\_example() (pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method)@\spxentry{next\_example()}\spxextra{pine.pipelines.corenlp\_NER\_pipeline.corenlp\_NER method}} @@ -13119,10 +14387,10 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{class }}\sphinxcode{\sphinxupquote{pine.pipelines.opennlp\_NER\_pipeline.}}\sphinxbfcode{\sphinxupquote{opennlp\_NER}}}{\emph{\DUrole{n}{java\_dir}\DUrole{o}{=}\DUrole{default_value}{None}}, \emph{\DUrole{n}{ner\_path}\DUrole{o}{=}\DUrole{default_value}{None}}, \emph{\DUrole{n}{tmp\_dir}\DUrole{o}{=}\DUrole{default_value}{None}}}{} \sphinxAtStartPar Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{pine.pipelines.pipeline.Pipeline}}}}} -\index{\_\_jar (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER attribute)@\spxentry{\_\_jar}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER attribute}} +\index{\_\_ner\_path (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER attribute)@\spxentry{\_\_ner\_path}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER attribute}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.__jar}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_jar}}\sphinxbfcode{\sphinxupquote{ =}}} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.__ner_path}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_ner\_path}}\sphinxbfcode{\sphinxupquote{ =}}} \end{fulllineitems} \index{\_\_jdk\_dir (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER attribute)@\spxentry{\_\_jdk\_dir}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER attribute}} @@ -13167,22 +14435,40 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.__id}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_id}}} \end{fulllineitems} +\index{\_\_is\_setup (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER attribute)@\spxentry{\_\_is\_setup}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.__is_setup}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_is\_setup}}\sphinxbfcode{\sphinxupquote{ = False}}} +\end{fulllineitems} + +\index{setup() (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER class method)@\spxentry{setup()}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER class method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.setup}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{classmethod }}\sphinxbfcode{\sphinxupquote{setup}}}{\emph{\DUrole{n}{cls}}, \emph{\DUrole{n}{java\_dir}\DUrole{o}{=}\DUrole{default_value}{None}}, \emph{\DUrole{n}{ner\_path}\DUrole{o}{=}\DUrole{default_value}{None}}}{} +\end{fulllineitems} + +\index{status() (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method)@\spxentry{status()}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{status}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + \index{fit() (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method)@\spxentry{fit()}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}, \emph{\DUrole{n}{params}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}, \emph{\DUrole{o}{**}\DUrole{n}{params}}}{} \end{fulllineitems} \index{predict() (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method)@\spxentry{predict()}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}DocumentPredictions\DUrole{p}{{]}}}} \end{fulllineitems} \index{predict\_proba() (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method)@\spxentry{predict\_proba()}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}, \emph{\DUrole{n}{get\_all\_labels}\DUrole{o}{=}\DUrole{default_value}{False}}, \emph{\DUrole{n}{include\_other}\DUrole{o}{=}\DUrole{default_value}{False}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{o}{**}\DUrole{n}{kwargs}}}{{ $\rightarrow$ List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}} \end{fulllineitems} \index{next\_example() (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method)@\spxentry{next\_example()}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method}} @@ -13230,7 +14516,7 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \index{convert\_ann\_collection\_to\_per\_token() (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method)@\spxentry{convert\_ann\_collection\_to\_per\_token()}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.convert_ann_collection_to_per_token}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{convert\_ann\_collection\_to\_per\_token}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{annotations}}, \emph{\DUrole{n}{tokens}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/opennlp_NER_pipeline/index:pine.pipelines.opennlp_NER_pipeline.opennlp_NER.convert_ann_collection_to_per_token}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{convert\_ann\_collection\_to\_per\_token}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{annotations}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}Union\DUrole{p}{{[}}NerPrediction\DUrole{p}{, }typing.Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}\DUrole{p}{{]}}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{tokens}}}{} \end{fulllineitems} \index{evaluate() (pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method)@\spxentry{evaluate()}\spxextra{pine.pipelines.opennlp\_NER\_pipeline.opennlp\_NER method}} @@ -13276,6 +14562,34 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \endlastfoot +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPrediction}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{NerPrediction}}}}} +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.DocumentPredictions}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{DocumentPredictions}}}}} +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPredictionProbabilities}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{NerPredictionProbabilities}}}}} +& +\sphinxAtStartPar + +\\ +\hline +\sphinxAtStartPar +{\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.DocumentPredictionProbabilities}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{DocumentPredictionProbabilities}}}}} +& +\sphinxAtStartPar + +\\ +\hline \sphinxAtStartPar {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{Pipeline}}}}} & @@ -13284,28 +14598,106 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \\ \hline \end{longtable}\sphinxatlongtableend\end{savenotes} +\index{NerPrediction (class in pine.pipelines.pipeline)@\spxentry{NerPrediction}\spxextra{class in pine.pipelines.pipeline}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPrediction}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{class }}\sphinxcode{\sphinxupquote{pine.pipelines.pipeline.}}\sphinxbfcode{\sphinxupquote{NerPrediction}}}{\emph{\DUrole{n}{offset\_start}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}}}, \emph{\DUrole{n}{offset\_end}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}}}, \emph{\DUrole{n}{label}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}}}}{} +\sphinxAtStartPar +Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sphinxcode{\sphinxupquote{object}}} +\index{serialize() (pine.pipelines.pipeline.NerPrediction method)@\spxentry{serialize()}\spxextra{pine.pipelines.pipeline.NerPrediction method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPrediction.serialize}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{serialize}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}} +\end{fulllineitems} + + +\end{fulllineitems} + +\index{DocumentPredictions (class in pine.pipelines.pipeline)@\spxentry{DocumentPredictions}\spxextra{class in pine.pipelines.pipeline}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.DocumentPredictions}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{class }}\sphinxcode{\sphinxupquote{pine.pipelines.pipeline.}}\sphinxbfcode{\sphinxupquote{DocumentPredictions}}}{\emph{\DUrole{n}{ner}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}{\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPrediction}]{\sphinxcrossref{NerPrediction}}}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{doc}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{extra\_data}\DUrole{p}{:} \DUrole{n}{Any} \DUrole{o}{=} \DUrole{default_value}{None}}}{} +\sphinxAtStartPar +Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sphinxcode{\sphinxupquote{object}}} +\index{serialize() (pine.pipelines.pipeline.DocumentPredictions method)@\spxentry{serialize()}\spxextra{pine.pipelines.pipeline.DocumentPredictions method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.DocumentPredictions.serialize}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{serialize}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + + +\end{fulllineitems} + +\index{NerPredictionProbabilities (class in pine.pipelines.pipeline)@\spxentry{NerPredictionProbabilities}\spxextra{class in pine.pipelines.pipeline}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPredictionProbabilities}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{class }}\sphinxcode{\sphinxupquote{pine.pipelines.pipeline.}}\sphinxbfcode{\sphinxupquote{NerPredictionProbabilities}}}{\emph{\DUrole{n}{offset\_start}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}}}, \emph{\DUrole{n}{offset\_end}\DUrole{p}{:} \DUrole{n}{\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}}}, \emph{\DUrole{n}{predictions}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}}}{} +\sphinxAtStartPar +Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sphinxcode{\sphinxupquote{object}}} +\index{get\_highest\_prediction() (pine.pipelines.pipeline.NerPredictionProbabilities method)@\spxentry{get\_highest\_prediction()}\spxextra{pine.pipelines.pipeline.NerPredictionProbabilities method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPredictionProbabilities.get_highest_prediction}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_highest\_prediction}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}}} +\end{fulllineitems} + +\index{get\_predictions\_from\_highest\_to\_lowest() (pine.pipelines.pipeline.NerPredictionProbabilities method)@\spxentry{get\_predictions\_from\_highest\_to\_lowest()}\spxextra{pine.pipelines.pipeline.NerPredictionProbabilities method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPredictionProbabilities.get_predictions_from_highest_to_lowest}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{get\_predictions\_from\_highest\_to\_lowest}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}} +\end{fulllineitems} + +\index{serialize() (pine.pipelines.pipeline.NerPredictionProbabilities method)@\spxentry{serialize()}\spxextra{pine.pipelines.pipeline.NerPredictionProbabilities method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPredictionProbabilities.serialize}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{serialize}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#int}{int}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/typing.html\#typing.List}{typing.List}\DUrole{p}{{[}}typing.Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}\DUrole{p}{{]}}}} +\end{fulllineitems} + + +\end{fulllineitems} + +\index{DocumentPredictionProbabilities (class in pine.pipelines.pipeline)@\spxentry{DocumentPredictionProbabilities}\spxextra{class in pine.pipelines.pipeline}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.DocumentPredictionProbabilities}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{class }}\sphinxcode{\sphinxupquote{pine.pipelines.pipeline.}}\sphinxbfcode{\sphinxupquote{DocumentPredictionProbabilities}}}{\emph{\DUrole{n}{ner}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}{\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.NerPredictionProbabilities}]{\sphinxcrossref{NerPredictionProbabilities}}}\DUrole{p}{{]}}}}, \emph{\DUrole{n}{doc}\DUrole{p}{:} \DUrole{n}{List\DUrole{p}{{[}}Tuple\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{, }\sphinxhref{https://docs.python.org/3/library/functions.html\#float}{float}\DUrole{p}{{]}}\DUrole{p}{{]}}}}}{} +\sphinxAtStartPar +Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sphinxcode{\sphinxupquote{object}}} +\index{serialize() (pine.pipelines.pipeline.DocumentPredictionProbabilities method)@\spxentry{serialize()}\spxextra{pine.pipelines.pipeline.DocumentPredictionProbabilities method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.DocumentPredictionProbabilities.serialize}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{serialize}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + + +\end{fulllineitems} + \index{Pipeline (class in pine.pipelines.pipeline)@\spxentry{Pipeline}\spxextra{class in pine.pipelines.pipeline}} \begin{fulllineitems} \phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline}}\pysigline{\sphinxbfcode{\sphinxupquote{class }}\sphinxcode{\sphinxupquote{pine.pipelines.pipeline.}}\sphinxbfcode{\sphinxupquote{Pipeline}}} \sphinxAtStartPar Bases: \sphinxhref{https://docs.python.org/3/library/functions.html\#object}{\sphinxcode{\sphinxupquote{object}}} +\index{status() (pine.pipelines.pipeline.Pipeline method)@\spxentry{status()}\spxextra{pine.pipelines.pipeline.Pipeline method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline.status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{abstract }}\sphinxbfcode{\sphinxupquote{status}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + \index{fit() (pine.pipelines.pipeline.Pipeline method)@\spxentry{fit()}\spxextra{pine.pipelines.pipeline.Pipeline method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{abstract }}\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{abstract }}\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}, \emph{\DUrole{o}{**}\DUrole{n}{params}}}{} \end{fulllineitems} \index{predict() (pine.pipelines.pipeline.Pipeline method)@\spxentry{predict()}\spxextra{pine.pipelines.pipeline.Pipeline method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{abstract }}\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{abstract }}\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}{\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.DocumentPredictions}]{\sphinxcrossref{DocumentPredictions}}}\DUrole{p}{{]}}}} \end{fulllineitems} \index{predict\_proba() (pine.pipelines.pipeline.Pipeline method)@\spxentry{predict\_proba()}\spxextra{pine.pipelines.pipeline.Pipeline method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{abstract }}\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{abstract }}\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{o}{**}\DUrole{n}{kwargs}}}{{ $\rightarrow$ List\DUrole{p}{{[}}{\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.DocumentPredictionProbabilities}]{\sphinxcrossref{DocumentPredictionProbabilities}}}\DUrole{p}{{]}}}} \end{fulllineitems} \index{next\_example() (pine.pipelines.pipeline.Pipeline method)@\spxentry{next\_example()}\spxextra{pine.pipelines.pipeline.Pipeline method}} @@ -13401,22 +14793,34 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.pipe_init}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{pipe\_init}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{x}}, \emph{\DUrole{o}{**}\DUrole{n}{kwargs}}}{} \end{fulllineitems} +\index{pipeline\_class() (pine.pipelines.pmap\_ner.NER property)@\spxentry{pipeline\_class()}\spxextra{pine.pipelines.pmap\_ner.NER property}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.pipeline_class}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{property }}\sphinxbfcode{\sphinxupquote{pipeline\_class}}}{\emph{\DUrole{n}{self}}}{} +\end{fulllineitems} + +\index{status() (pine.pipelines.pmap\_ner.NER method)@\spxentry{status()}\spxextra{pine.pipelines.pmap\_ner.NER method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{status}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + \index{fit() (pine.pipelines.pmap\_ner.NER method)@\spxentry{fit()}\spxextra{pine.pipelines.pmap\_ner.NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}, \emph{\DUrole{n}{kwargs}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}, \emph{\DUrole{o}{**}\DUrole{n}{kwargs}}}{} \end{fulllineitems} \index{predict() (pine.pipelines.pmap\_ner.NER method)@\spxentry{predict()}\spxextra{pine.pipelines.pmap\_ner.NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}DocumentPredictions\DUrole{p}{{]}}}} \end{fulllineitems} \index{predict\_proba() (pine.pipelines.pmap\_ner.NER method)@\spxentry{predict\_proba()}\spxextra{pine.pipelines.pmap\_ner.NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}, \emph{\DUrole{o}{**}\DUrole{n}{kwargs}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{o}{**}\DUrole{n}{kwargs}}}{{ $\rightarrow$ List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}} \end{fulllineitems} \index{evaluate() (pine.pipelines.pmap\_ner.NER method)@\spxentry{evaluate()}\spxextra{pine.pipelines.pmap\_ner.NER method}} @@ -13434,7 +14838,7 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \index{save\_model() (pine.pipelines.pmap\_ner.NER method)@\spxentry{save\_model()}\spxextra{pine.pipelines.pmap\_ner.NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.save_model}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{save\_model}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model\_path}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/pmap_ner/index:pine.pipelines.pmap_ner.NER.save_model}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{save\_model}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model\_name}}}{} \end{fulllineitems} \index{load\_model() (pine.pipelines.pmap\_ner.NER method)@\spxentry{load\_model()}\spxextra{pine.pipelines.pmap\_ner.NER method}} @@ -13493,12 +14897,24 @@ Compatible with: spaCy v2.0.0+ \\ \hline \end{longtable}\sphinxatlongtableend\end{savenotes} +\index{logger (in module pine.pipelines.spacy\_NER\_pipeline)@\spxentry{logger}\spxextra{in module pine.pipelines.spacy\_NER\_pipeline}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.logger}}\pysigline{\sphinxcode{\sphinxupquote{pine.pipelines.spacy\_NER\_pipeline.}}\sphinxbfcode{\sphinxupquote{logger}}} +\end{fulllineitems} + \index{spacy\_NER (class in pine.pipelines.spacy\_NER\_pipeline)@\spxentry{spacy\_NER}\spxextra{class in pine.pipelines.spacy\_NER\_pipeline}} \begin{fulllineitems} \phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{class }}\sphinxcode{\sphinxupquote{pine.pipelines.spacy\_NER\_pipeline.}}\sphinxbfcode{\sphinxupquote{spacy\_NER}}}{\emph{\DUrole{n}{model\_path}\DUrole{o}{=}\DUrole{default_value}{None}}}{} \sphinxAtStartPar Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelines.pipeline.Pipeline}]{\sphinxcrossref{\sphinxcode{\sphinxupquote{pine.pipelines.pipeline.Pipeline}}}}} +\index{\_\_model (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER attribute)@\spxentry{\_\_model}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.__model}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_model}}} +\end{fulllineitems} + \index{\_\_nlp (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER attribute)@\spxentry{\_\_nlp}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER attribute}} \begin{fulllineitems} @@ -13517,10 +14933,28 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.__optimizer}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_optimizer}}\sphinxbfcode{\sphinxupquote{ = {[}{]}}}} \end{fulllineitems} +\index{\_\_default\_fit\_params (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER attribute)@\spxentry{\_\_default\_fit\_params}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER attribute}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.__default_fit_params}}\pysigline{\sphinxbfcode{\sphinxupquote{\_\_default\_fit\_params}}} +\end{fulllineitems} + +\index{\_load\_model() (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method)@\spxentry{\_load\_model()}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER._load_model}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{\_load\_model}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model\_path}\DUrole{o}{=}\DUrole{default_value}{None}}}{} +\end{fulllineitems} + +\index{status() (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method)@\spxentry{status()}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method}} + +\begin{fulllineitems} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.status}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{status}}}{\emph{\DUrole{n}{self}}}{{ $\rightarrow$ \sphinxhref{https://docs.python.org/3/library/stdtypes.html\#dict}{dict}}} +\end{fulllineitems} + \index{fit() (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method)@\spxentry{fit()}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}, \emph{\DUrole{n}{params}\DUrole{o}{=}\DUrole{default_value}{None}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.fit}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{fit}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{y}}, \emph{\DUrole{o}{**}\DUrole{n}{params}}}{} \end{fulllineitems} \index{evaluate() (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method)@\spxentry{evaluate()}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method}} @@ -13532,13 +14966,13 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \index{predict() (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method)@\spxentry{predict()}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.predict}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}}{{ $\rightarrow$ List\DUrole{p}{{[}}DocumentPredictions\DUrole{p}{{]}}}} \end{fulllineitems} \index{predict\_proba() (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method)@\spxentry{predict\_proba()}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}}, \emph{\DUrole{n}{Xid}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.predict_proba}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{predict\_proba}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{X}\DUrole{p}{:} \DUrole{n}{Iterable\DUrole{p}{{[}}\sphinxhref{https://docs.python.org/3/library/stdtypes.html\#str}{str}\DUrole{p}{{]}}}}, \emph{\DUrole{o}{**}\DUrole{n}{kwargs}}}{{ $\rightarrow$ List\DUrole{p}{{[}}DocumentPredictionProbabilities\DUrole{p}{{]}}}} \end{fulllineitems} \index{next\_example() (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method)@\spxentry{next\_example()}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method}} @@ -13562,13 +14996,13 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \index{save\_model() (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method)@\spxentry{save\_model()}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.save_model}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{save\_model}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model\_path}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.save_model}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{save\_model}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model\_name}}}{} \end{fulllineitems} \index{load\_model() (pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method)@\spxentry{load\_model()}\spxextra{pine.pipelines.spacy\_NER\_pipeline.spacy\_NER method}} \begin{fulllineitems} -\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.load_model}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{load\_model}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model\_path}}}{} +\phantomsection\label{\detokenize{autoapi/pine/pipelines/spacy_NER_pipeline/index:pine.pipelines.spacy_NER_pipeline.spacy_NER.load_model}}\pysiglinewithargsret{\sphinxbfcode{\sphinxupquote{load\_model}}}{\emph{\DUrole{n}{self}}, \emph{\DUrole{n}{model\_name}}}{} \end{fulllineitems} @@ -13603,6 +15037,8 @@ Bases: {\hyperref[\detokenize{autoapi/pine/pipelines/pipeline/index:pine.pipelin \item\relax\sphinxstyleindexentry{pine.backend.admin.bp}\sphinxstyleindexpageref{autoapi/pine/backend/admin/bp/index:\detokenize{module-pine.backend.admin.bp}} \item\relax\sphinxstyleindexentry{pine.backend.annotations}\sphinxstyleindexpageref{autoapi/pine/backend/annotations/index:\detokenize{module-pine.backend.annotations}} \item\relax\sphinxstyleindexentry{pine.backend.annotations.bp}\sphinxstyleindexpageref{autoapi/pine/backend/annotations/bp/index:\detokenize{module-pine.backend.annotations.bp}} +\item\relax\sphinxstyleindexentry{pine.backend.api}\sphinxstyleindexpageref{autoapi/pine/backend/api/index:\detokenize{module-pine.backend.api}} +\item\relax\sphinxstyleindexentry{pine.backend.api.bp}\sphinxstyleindexpageref{autoapi/pine/backend/api/bp/index:\detokenize{module-pine.backend.api.bp}} \item\relax\sphinxstyleindexentry{pine.backend.app}\sphinxstyleindexpageref{autoapi/pine/backend/app/index:\detokenize{module-pine.backend.app}} \item\relax\sphinxstyleindexentry{pine.backend.auth}\sphinxstyleindexpageref{autoapi/pine/backend/auth/index:\detokenize{module-pine.backend.auth}} \item\relax\sphinxstyleindexentry{pine.backend.auth.bp}\sphinxstyleindexpageref{autoapi/pine/backend/auth/bp/index:\detokenize{module-pine.backend.auth.bp}} diff --git a/docs/build/singlehtml/index.html b/docs/build/singlehtml/index.html index b63c34a..ddd4312 100644 --- a/docs/build/singlehtml/index.html +++ b/docs/build/singlehtml/index.html @@ -358,6 +358,75 @@ request to create a new entry. pine.backend.annotations.bp.init_app(app)