mirror of
https://github.com/Significant-Gravitas/AutoGPT.git
synced 2026-04-08 03:00:28 -04:00
Merge branch 'dev' into abhi-9708/add-better-skeleton-on-agent-run-page
This commit is contained in:
Abhimanyu Yadav
21
.github/workflows/platform-backend-ci.yml
vendored
21
.github/workflows/platform-backend-ci.yml
vendored
@@ -80,18 +80,35 @@ jobs:
|
||||
|
||||
- name: Install Poetry (Unix)
|
||||
run: |
|
||||
curl -sSL https://install.python-poetry.org | python3 -
|
||||
# Extract Poetry version from backend/poetry.lock
|
||||
HEAD_POETRY_VERSION=$(head -n 1 poetry.lock | grep -oP '(?<=Poetry )[0-9]+\.[0-9]+\.[0-9]+')
|
||||
echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
|
||||
|
||||
if [ -n "$BASE_REF" ]; then
|
||||
BASE_BRANCH=${BASE_REF/refs\/heads\//}
|
||||
BASE_POETRY_VERSION=$((git show "origin/$BASE_BRANCH":./poetry.lock; true) | head -n 1 | grep -oP '(?<=Poetry )[0-9]+\.[0-9]+\.[0-9]+')
|
||||
echo "Found Poetry version ${BASE_POETRY_VERSION} in backend/poetry.lock on ${BASE_REF}"
|
||||
POETRY_VERSION=$(printf '%s\n' "$HEAD_POETRY_VERSION" "$BASE_POETRY_VERSION" | sort -V | tail -n1)
|
||||
else
|
||||
POETRY_VERSION=$HEAD_POETRY_VERSION
|
||||
fi
|
||||
echo "Using Poetry version ${POETRY_VERSION}"
|
||||
|
||||
# Install Poetry
|
||||
curl -sSL https://install.python-poetry.org | POETRY_VERSION=$POETRY_VERSION python3 -
|
||||
|
||||
if [ "${{ runner.os }}" = "macOS" ]; then
|
||||
PATH="$HOME/.local/bin:$PATH"
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
fi
|
||||
env:
|
||||
BASE_REF: ${{ github.base_ref || github.event.merge_group.base_ref }}
|
||||
|
||||
- name: Check poetry.lock
|
||||
run: |
|
||||
poetry lock
|
||||
|
||||
if ! git diff --quiet poetry.lock; then
|
||||
if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
|
||||
echo "Error: poetry.lock not up to date."
|
||||
echo
|
||||
git diff poetry.lock
|
||||
|
||||
@@ -15,7 +15,11 @@
|
||||
> Setting up and hosting the AutoGPT Platform yourself is a technical process.
|
||||
> If you'd rather something that just works, we recommend [joining the waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta.
|
||||
|
||||
https://github.com/user-attachments/assets/d04273a5-b36a-4a37-818e-f631ce72d603
|
||||
### Updated Setup Instructions:
|
||||
We’ve moved to a fully maintained and regularly updated documentation site.
|
||||
|
||||
👉 [Follow the official self-hosting guide here](https://docs.agpt.co/platform/getting-started/)
|
||||
|
||||
|
||||
This tutorial assumes you have Docker, VSCode, git and npm installed.
|
||||
|
||||
|
||||
@@ -8,7 +8,7 @@ from pydantic import Field, field_validator
|
||||
from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
|
||||
from .filters import BelowLevelFilter
|
||||
from .formatters import AGPTFormatter, StructuredLoggingFormatter
|
||||
from .formatters import AGPTFormatter
|
||||
|
||||
LOG_DIR = Path(__file__).parent.parent.parent.parent / "logs"
|
||||
LOG_FILE = "activity.log"
|
||||
@@ -81,9 +81,26 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
|
||||
"""
|
||||
|
||||
config = LoggingConfig()
|
||||
|
||||
log_handlers: list[logging.Handler] = []
|
||||
|
||||
# Console output handlers
|
||||
stdout = logging.StreamHandler(stream=sys.stdout)
|
||||
stdout.setLevel(config.level)
|
||||
stdout.addFilter(BelowLevelFilter(logging.WARNING))
|
||||
if config.level == logging.DEBUG:
|
||||
stdout.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
|
||||
else:
|
||||
stdout.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
|
||||
|
||||
stderr = logging.StreamHandler()
|
||||
stderr.setLevel(logging.WARNING)
|
||||
if config.level == logging.DEBUG:
|
||||
stderr.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
|
||||
else:
|
||||
stderr.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
|
||||
|
||||
log_handlers += [stdout, stderr]
|
||||
|
||||
# Cloud logging setup
|
||||
if config.enable_cloud_logging or force_cloud_logging:
|
||||
import google.cloud.logging
|
||||
@@ -97,28 +114,7 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
|
||||
transport=SyncTransport,
|
||||
)
|
||||
cloud_handler.setLevel(config.level)
|
||||
cloud_handler.setFormatter(StructuredLoggingFormatter())
|
||||
log_handlers.append(cloud_handler)
|
||||
print("Cloud logging enabled")
|
||||
else:
|
||||
# Console output handlers
|
||||
stdout = logging.StreamHandler(stream=sys.stdout)
|
||||
stdout.setLevel(config.level)
|
||||
stdout.addFilter(BelowLevelFilter(logging.WARNING))
|
||||
if config.level == logging.DEBUG:
|
||||
stdout.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
|
||||
else:
|
||||
stdout.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
|
||||
|
||||
stderr = logging.StreamHandler()
|
||||
stderr.setLevel(logging.WARNING)
|
||||
if config.level == logging.DEBUG:
|
||||
stderr.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
|
||||
else:
|
||||
stderr.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
|
||||
|
||||
log_handlers += [stdout, stderr]
|
||||
print("Console logging enabled")
|
||||
|
||||
# File logging setup
|
||||
if config.enable_file_logging:
|
||||
@@ -156,7 +152,6 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
|
||||
error_log_handler.setLevel(logging.ERROR)
|
||||
error_log_handler.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT, no_color=True))
|
||||
log_handlers.append(error_log_handler)
|
||||
print("File logging enabled")
|
||||
|
||||
# Configure the root logger
|
||||
logging.basicConfig(
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import logging
|
||||
|
||||
from colorama import Fore, Style
|
||||
from google.cloud.logging_v2.handlers import CloudLoggingFilter, StructuredLogHandler
|
||||
|
||||
from .utils import remove_color_codes
|
||||
|
||||
@@ -80,16 +79,3 @@ class AGPTFormatter(FancyConsoleFormatter):
|
||||
return remove_color_codes(super().format(record))
|
||||
else:
|
||||
return super().format(record)
|
||||
|
||||
|
||||
class StructuredLoggingFormatter(StructuredLogHandler, logging.Formatter):
|
||||
def __init__(self):
|
||||
# Set up CloudLoggingFilter to add diagnostic info to the log records
|
||||
self.cloud_logging_filter = CloudLoggingFilter()
|
||||
|
||||
# Init StructuredLogHandler
|
||||
super().__init__()
|
||||
|
||||
def format(self, record: logging.LogRecord) -> str:
|
||||
self.cloud_logging_filter.filter(record)
|
||||
return super().format(record)
|
||||
|
||||
@@ -2,6 +2,7 @@ import logging
|
||||
import re
|
||||
from typing import Any
|
||||
|
||||
import uvicorn.config
|
||||
from colorama import Fore
|
||||
|
||||
|
||||
@@ -25,3 +26,14 @@ def print_attribute(
|
||||
"color": value_color,
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
def generate_uvicorn_config():
|
||||
"""
|
||||
Generates a uvicorn logging config that silences uvicorn's default logging and tells it to use the native logging module.
|
||||
"""
|
||||
log_config = dict(uvicorn.config.LOGGING_CONFIG)
|
||||
log_config["loggers"]["uvicorn"] = {"handlers": []}
|
||||
log_config["loggers"]["uvicorn.error"] = {"handlers": []}
|
||||
log_config["loggers"]["uvicorn.access"] = {"handlers": []}
|
||||
return log_config
|
||||
|
||||
777
autogpt_platform/autogpt_libs/poetry.lock
generated
777
autogpt_platform/autogpt_libs/poetry.lock
generated
@@ -1,4 +1,4 @@
|
||||
# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
|
||||
# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "aiohappyeyeballs"
|
||||
@@ -14,113 +14,104 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "aiohttp"
|
||||
version = "3.10.5"
|
||||
version = "3.11.15"
|
||||
description = "Async http client/server framework (asyncio)"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:18a01eba2574fb9edd5f6e5fb25f66e6ce061da5dab5db75e13fe1558142e0a3"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:94fac7c6e77ccb1ca91e9eb4cb0ac0270b9fb9b289738654120ba8cebb1189c6"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2f1f1c75c395991ce9c94d3e4aa96e5c59c8356a15b1c9231e783865e2772699"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4f7acae3cf1a2a2361ec4c8e787eaaa86a94171d2417aae53c0cca6ca3118ff6"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:94c4381ffba9cc508b37d2e536b418d5ea9cfdc2848b9a7fea6aebad4ec6aac1"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c31ad0c0c507894e3eaa843415841995bf8de4d6b2d24c6e33099f4bc9fc0d4f"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0912b8a8fadeb32ff67a3ed44249448c20148397c1ed905d5dac185b4ca547bb"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0d93400c18596b7dc4794d48a63fb361b01a0d8eb39f28800dc900c8fbdaca91"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d00f3c5e0d764a5c9aa5a62d99728c56d455310bcc288a79cab10157b3af426f"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:d742c36ed44f2798c8d3f4bc511f479b9ceef2b93f348671184139e7d708042c"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:814375093edae5f1cb31e3407997cf3eacefb9010f96df10d64829362ae2df69"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:8224f98be68a84b19f48e0bdc14224b5a71339aff3a27df69989fa47d01296f3"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:d9a487ef090aea982d748b1b0d74fe7c3950b109df967630a20584f9a99c0683"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-win32.whl", hash = "sha256:d9ef084e3dc690ad50137cc05831c52b6ca428096e6deb3c43e95827f531d5ef"},
|
||||
{file = "aiohttp-3.10.5-cp310-cp310-win_amd64.whl", hash = "sha256:66bf9234e08fe561dccd62083bf67400bdbf1c67ba9efdc3dac03650e97c6088"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:8c6a4e5e40156d72a40241a25cc226051c0a8d816610097a8e8f517aeacd59a2"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2c634a3207a5445be65536d38c13791904fda0748b9eabf908d3fe86a52941cf"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4aff049b5e629ef9b3e9e617fa6e2dfeda1bf87e01bcfecaf3949af9e210105e"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1942244f00baaacaa8155eca94dbd9e8cc7017deb69b75ef67c78e89fdad3c77"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e04a1f2a65ad2f93aa20f9ff9f1b672bf912413e5547f60749fa2ef8a644e061"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7f2bfc0032a00405d4af2ba27f3c429e851d04fad1e5ceee4080a1c570476697"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:424ae21498790e12eb759040bbb504e5e280cab64693d14775c54269fd1d2bb7"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:975218eee0e6d24eb336d0328c768ebc5d617609affaca5dbbd6dd1984f16ed0"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:4120d7fefa1e2d8fb6f650b11489710091788de554e2b6f8347c7a20ceb003f5"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:b90078989ef3fc45cf9221d3859acd1108af7560c52397ff4ace8ad7052a132e"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:ba5a8b74c2a8af7d862399cdedce1533642fa727def0b8c3e3e02fcb52dca1b1"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:02594361128f780eecc2a29939d9dfc870e17b45178a867bf61a11b2a4367277"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:8fb4fc029e135859f533025bc82047334e24b0d489e75513144f25408ecaf058"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-win32.whl", hash = "sha256:e1ca1ef5ba129718a8fc827b0867f6aa4e893c56eb00003b7367f8a733a9b072"},
|
||||
{file = "aiohttp-3.10.5-cp311-cp311-win_amd64.whl", hash = "sha256:349ef8a73a7c5665cca65c88ab24abe75447e28aa3bc4c93ea5093474dfdf0ff"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:305be5ff2081fa1d283a76113b8df7a14c10d75602a38d9f012935df20731487"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3a1c32a19ee6bbde02f1cb189e13a71b321256cc1d431196a9f824050b160d5a"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:61645818edd40cc6f455b851277a21bf420ce347baa0b86eaa41d51ef58ba23d"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c225286f2b13bab5987425558baa5cbdb2bc925b2998038fa028245ef421e75"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ba01ebc6175e1e6b7275c907a3a36be48a2d487549b656aa90c8a910d9f3178"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8eaf44ccbc4e35762683078b72bf293f476561d8b68ec8a64f98cf32811c323e"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1c43eb1ab7cbf411b8e387dc169acb31f0ca0d8c09ba63f9eac67829585b44f"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de7a5299827253023c55ea549444e058c0eb496931fa05d693b95140a947cb73"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4790f0e15f00058f7599dab2b206d3049d7ac464dc2e5eae0e93fa18aee9e7bf"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:44b324a6b8376a23e6ba25d368726ee3bc281e6ab306db80b5819999c737d820"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:0d277cfb304118079e7044aad0b76685d30ecb86f83a0711fc5fb257ffe832ca"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:54d9ddea424cd19d3ff6128601a4a4d23d54a421f9b4c0fff740505813739a91"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4f1c9866ccf48a6df2b06823e6ae80573529f2af3a0992ec4fe75b1a510df8a6"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-win32.whl", hash = "sha256:dc4826823121783dccc0871e3f405417ac116055bf184ac04c36f98b75aacd12"},
|
||||
{file = "aiohttp-3.10.5-cp312-cp312-win_amd64.whl", hash = "sha256:22c0a23a3b3138a6bf76fc553789cb1a703836da86b0f306b6f0dc1617398abc"},
|
||||
{file = "aiohttp-3.10.5-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:7f6b639c36734eaa80a6c152a238242bedcee9b953f23bb887e9102976343092"},
|
||||
{file = "aiohttp-3.10.5-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f29930bc2921cef955ba39a3ff87d2c4398a0394ae217f41cb02d5c26c8b1b77"},
|
||||
{file = "aiohttp-3.10.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f489a2c9e6455d87eabf907ac0b7d230a9786be43fbe884ad184ddf9e9c1e385"},
|
||||
{file = "aiohttp-3.10.5-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:123dd5b16b75b2962d0fff566effb7a065e33cd4538c1692fb31c3bda2bfb972"},
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{file = "aiohttp-3.11.15-cp312-cp312-win32.whl", hash = "sha256:18733fa6bbe44698ff96138c1f1d682bbdf0846250a42c25c108eed328fef0d4"},
|
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|
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|
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|
||||
{file = "aiohttp-3.11.15-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:45d8c22c91bdb7417bd4f5119242dbd2e2140c0e9de47342c765f127f897eb57"},
|
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{file = "aiohttp-3.11.15-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b03093d4140d926965d23497a059ec59c8c07e602d2489ce5fb990f3a897db4"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05eea49d598c4ece6f285e00464de206f838b48ff21938d5aa9c394e115945b9"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:63f8d6106566f98fcfde7a643c9da52d90679b8592dea76c4adfc3cd5d06d22c"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36a490f1ebe0b982366314c77f02258f87bd5d9bd362839dc6a24188447f37eb"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:73a7f6283634dd30f93b9a67c414c00517869478b50361c503535e075fa07eaf"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0e97c1e55f6931f07ecaf53aef8352def8386adfd0cd3caa6429cc40e886d6a9"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:d8370d31e6d8ecccd97cd791c466d0acb56527df51b0c105d7ea54c7fcc0f75b"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:c2de66177e087999568638c02639cf0248011b5c7fca69b006947153c534fcab"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:edcddb97574402ff7481bc6f70819ba863e77b0be58a840ed5f59d52d2f20a71"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:29cce2a7e009494e675018c0b1819a133befbab8629c797276c5d793bbdf1138"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:825ec92391e3e4ddda74de79ed0f8b443e9b412a0c9c82618ca2163abd875df5"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-win32.whl", hash = "sha256:430f9707f0c1239a92bff7769b0db185ef400278dc63c89f88ed1bd5153aab7a"},
|
||||
{file = "aiohttp-3.11.15-cp313-cp313-win_amd64.whl", hash = "sha256:f30e6980ec5d6ad815a233e19e39fe27ea94b1081c31c8aa1df1b629da3737b8"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:03ce9d2f01aef26cd6aaba2f330273c2364237db2f499b93c3e9f2e249f83cd2"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1bee0f9e2d4088b57243d63afcb06256bd2d9ff683080f51e74fa790c8cfedfd"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7e20bd6aa51a5209c9131395e20ce126e8e317c0cf78a8180f026b4d73f018f6"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23397670f3739b6f3c4019da8226190f6cce5ab2008b664ed96a6d1f0fe7f069"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fc270fe480e7e425c45054543f58510fe649f70b77f514171909bbfe585105c0"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:84370ff70c1677ee0c4db40fe2baee6ffc72e9d32def3ff18739c1390c62329f"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:379882ab6a40e6e0879ad8e84dca74ddbadff94af4f314b59b7da89c8463a669"},
|
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{file = "aiohttp-3.11.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74afb637cd06760afe0aa55a3ce82178ef4c950be65935add8f3809f701f36ca"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:558de86eef9a886e43c6ae5b75cecdce81203da5832d19d11da8de417967d478"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:41f82df6f0f895f0f843bc86762bea45b4d0fe876de49239ffc89d2365426399"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:38368a32530dcdeccfa47544cf66724118d9cc8a889c057e116723ab62994380"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:204f6695b47a7d130ddf6680158920825d0d32202a870e0bc56a2ec637935b1a"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:4b85486e8914d4e778343f5322834aada678eaf4c5315e50d41d9b74817ff97b"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:79a08d675167c50f41d106d67bbcbc9e86e1b43d305c4b9f982d5c656a94a9ba"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-win32.whl", hash = "sha256:20dda85988a4f506bf5a457b416b238e32ab944a2deb878ddf0af92df9254a9b"},
|
||||
{file = "aiohttp-3.11.15-cp39-cp39-win_amd64.whl", hash = "sha256:3cfd9f4aeaec4a75a0b4986a9977ac0a09b3d87ae83415e4b461e86715c80897"},
|
||||
{file = "aiohttp-3.11.15.tar.gz", hash = "sha256:b9b9a1e592ac8fcc4584baea240e41f77415e0de98932fdf19565aa3b6a02d0b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
aiohappyeyeballs = ">=2.3.0"
|
||||
aiosignal = ">=1.1.2"
|
||||
async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
|
||||
async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
|
||||
attrs = ">=17.3.0"
|
||||
frozenlist = ">=1.1.1"
|
||||
multidict = ">=4.5,<7.0"
|
||||
yarl = ">=1.0,<2.0"
|
||||
propcache = ">=0.2.0"
|
||||
yarl = ">=1.17.0,<2.0"
|
||||
|
||||
[package.extras]
|
||||
speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
|
||||
@@ -186,7 +177,7 @@ files = [
|
||||
{file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
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{file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
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||||
]
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||||
markers = {main = "python_version < \"3.11\"", dev = "python_full_version < \"3.11.3\""}
|
||||
markers = {main = "python_version == \"3.10\"", dev = "python_full_version < \"3.11.3\""}
|
||||
|
||||
[[package]]
|
||||
name = "attrs"
|
||||
@@ -384,7 +375,7 @@ description = "Backport of PEP 654 (exception groups)"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
groups = ["main"]
|
||||
markers = "python_version < \"3.11\""
|
||||
markers = "python_version == \"3.10\""
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files = [
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{file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
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{file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
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||||
@@ -1071,6 +1062,114 @@ httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
|
||||
pydantic = ">=1.9,<3.0"
|
||||
strenum = {version = ">=0.4.9,<0.5.0", markers = "python_version < \"3.11\""}
|
||||
|
||||
[[package]]
|
||||
name = "propcache"
|
||||
version = "0.3.1"
|
||||
description = "Accelerated property cache"
|
||||
optional = false
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||||
python-versions = ">=3.9"
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||||
groups = ["main"]
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||||
files = [
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{file = "propcache-0.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f27785888d2fdd918bc36de8b8739f2d6c791399552333721b58193f68ea3e98"},
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]
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[[package]]
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||||
name = "proto-plus"
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||||
version = "1.26.0"
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@@ -1139,20 +1238,21 @@ pyasn1 = ">=0.4.6,<0.7.0"
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[[package]]
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||||
name = "pydantic"
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version = "2.11.1"
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description = "Data validation using Python type hints"
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optional = false
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python-versions = ">=3.8"
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python-versions = ">=3.9"
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[package.dependencies]
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||||
pydantic-core = "2.27.2"
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pydantic-core = "2.33.0"
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typing-extensions = ">=4.12.2"
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typing-inspection = ">=0.4.0"
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||||
[package.extras]
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||||
email = ["email-validator (>=2.0.0)"]
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@@ -1160,112 +1260,111 @@ timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows
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[[package]]
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|
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|
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[package.dependencies]
|
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@@ -1273,14 +1372,14 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
|
||||
|
||||
[[package]]
|
||||
name = "pydantic-settings"
|
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version = "2.7.1"
|
||||
version = "2.8.1"
|
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description = "Settings management using Pydantic"
|
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optional = false
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python-versions = ">=3.8"
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groups = ["main"]
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|
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|
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[package.dependencies]
|
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@@ -1335,14 +1434,14 @@ dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments
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||||
|
||||
[[package]]
|
||||
name = "pytest-asyncio"
|
||||
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|
||||
version = "0.26.0"
|
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description = "Pytest support for asyncio"
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optional = false
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python-versions = ">=3.9"
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[package.dependencies]
|
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@@ -1402,21 +1501,21 @@ cli = ["click (>=5.0)"]
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[[package]]
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name = "realtime"
|
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version = "2.0.2"
|
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version = "2.4.2"
|
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description = ""
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optional = false
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python-versions = "<4.0,>=3.9"
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[package.dependencies]
|
||||
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|
||||
aiohttp = ">=3.11.14,<4.0.0"
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||||
python-dateutil = ">=2.8.1,<3.0.0"
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typing-extensions = ">=4.12.2,<5.0.0"
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websockets = ">=11,<13"
|
||||
websockets = ">=11,<15"
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||||
|
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[[package]]
|
||||
name = "redis"
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@@ -1476,30 +1575,30 @@ pyasn1 = ">=0.1.3"
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||||
|
||||
[[package]]
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version = "0.9.10"
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version = "0.11.2"
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description = "An extremely fast Python linter and code formatter, written in Rust."
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[[package]]
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@@ -1561,21 +1660,21 @@ test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
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||||
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||||
[[package]]
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||||
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||||
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||||
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||||
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[package.dependencies]
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gotrue = ">=2.11.0,<3.0.0"
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||||
httpx = ">=0.26,<0.29"
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||||
postgrest = ">=0.19,<0.20"
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||||
realtime = ">=2.0.0,<3.0.0"
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||||
postgrest = ">0.19,<1.1"
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||||
realtime = ">=2.4.0,<2.5.0"
|
||||
storage3 = ">=0.10,<0.12"
|
||||
supafunc = ">=0.9,<0.10"
|
||||
|
||||
@@ -1602,7 +1701,7 @@ description = "A lil' TOML parser"
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||||
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||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
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markers = "python_version < \"3.11\""
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markers = "python_version == \"3.10\""
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@@ -1620,6 +1719,21 @@ files = [
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{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
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[[package]]
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name = "typing-inspection"
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||||
version = "0.4.0"
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||||
description = "Runtime typing introspection tools"
|
||||
optional = false
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||||
python-versions = ">=3.9"
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|
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[package.dependencies]
|
||||
typing-extensions = ">=4.12.0"
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||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.2.2"
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@@ -1802,109 +1916,100 @@ files = [
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[[package]]
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||||
name = "yarl"
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||||
version = "1.11.1"
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version = "1.18.3"
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description = "Yet another URL library"
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{file = "yarl-1.18.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285"},
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{file = "yarl-1.18.3-cp312-cp312-win_amd64.whl", hash = "sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477"},
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{file = "yarl-1.18.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0"},
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{file = "yarl-1.18.3-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482"},
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{file = "yarl-1.18.3-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53"},
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{file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2"},
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{file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8"},
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{file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1"},
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{file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8"},
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||||
{file = "yarl-1.18.3-cp313-cp313-win32.whl", hash = "sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d"},
|
||||
{file = "yarl-1.18.3-cp313-cp313-win_amd64.whl", hash = "sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04"},
|
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{file = "yarl-1.18.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719"},
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{file = "yarl-1.18.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e"},
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{file = "yarl-1.18.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee"},
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{file = "yarl-1.18.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c"},
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||||
{file = "yarl-1.18.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1"},
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{file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-win32.whl", hash = "sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5"},
|
||||
{file = "yarl-1.18.3-cp39-cp39-win_amd64.whl", hash = "sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9"},
|
||||
{file = "yarl-1.18.3-py3-none-any.whl", hash = "sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b"},
|
||||
{file = "yarl-1.18.3.tar.gz", hash = "sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
idna = ">=2.0"
|
||||
multidict = ">=4.0"
|
||||
propcache = ">=0.2.0"
|
||||
|
||||
[[package]]
|
||||
name = "zipp"
|
||||
@@ -1929,4 +2034,4 @@ type = ["pytest-mypy"]
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.10,<4.0"
|
||||
content-hash = "02023e8698c80648fec23a112ec2ec90d617bba83081d194fab90f682908f0f3"
|
||||
content-hash = "c8e23c0609cae0717447f575849b658bee9203b784ec7270b62629cddbbbd9ca"
|
||||
|
||||
@@ -10,17 +10,17 @@ packages = [{ include = "autogpt_libs" }]
|
||||
colorama = "^0.4.6"
|
||||
expiringdict = "^1.2.2"
|
||||
google-cloud-logging = "^3.11.4"
|
||||
pydantic = "^2.10.6"
|
||||
pydantic-settings = "^2.7.1"
|
||||
pydantic = "^2.11.1"
|
||||
pydantic-settings = "^2.8.1"
|
||||
pyjwt = "^2.10.1"
|
||||
pytest-asyncio = "^0.25.3"
|
||||
pytest-asyncio = "^0.26.0"
|
||||
pytest-mock = "^3.14.0"
|
||||
python = ">=3.10,<4.0"
|
||||
supabase = "^2.13.0"
|
||||
supabase = "^2.15.0"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
redis = "^5.2.1"
|
||||
ruff = "^0.9.10"
|
||||
ruff = "^0.11.0"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
|
||||
@@ -188,6 +188,8 @@ SMARTLEAD_API_KEY=
|
||||
# ZeroBounce
|
||||
ZEROBOUNCE_API_KEY=
|
||||
|
||||
## ===== OPTIONAL API KEYS END ===== ##
|
||||
|
||||
# Logging Configuration
|
||||
LOG_LEVEL=INFO
|
||||
ENABLE_CLOUD_LOGGING=false
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from enum import Enum
|
||||
from typing import Any, Optional
|
||||
|
||||
from pydantic import BaseModel
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
|
||||
from backend.data.model import SchemaField
|
||||
|
||||
@@ -143,11 +143,12 @@ class ContactEmail(BaseModel):
|
||||
class EmploymentHistory(BaseModel):
|
||||
"""An employment history in Apollo"""
|
||||
|
||||
class Config:
|
||||
extra = "allow"
|
||||
arbitrary_types_allowed = True
|
||||
from_attributes = True
|
||||
populate_by_name = True
|
||||
model_config = ConfigDict(
|
||||
extra="allow",
|
||||
arbitrary_types_allowed=True,
|
||||
from_attributes=True,
|
||||
populate_by_name=True,
|
||||
)
|
||||
|
||||
_id: Optional[str] = None
|
||||
created_at: Optional[str] = None
|
||||
@@ -188,11 +189,12 @@ class TypedCustomField(BaseModel):
|
||||
class Pagination(BaseModel):
|
||||
"""Pagination in Apollo"""
|
||||
|
||||
class Config:
|
||||
extra = "allow" # Allow extra fields
|
||||
arbitrary_types_allowed = True # Allow any type
|
||||
from_attributes = True # Allow from_orm
|
||||
populate_by_name = True # Allow field aliases to work both ways
|
||||
model_config = ConfigDict(
|
||||
extra="allow",
|
||||
arbitrary_types_allowed=True,
|
||||
from_attributes=True,
|
||||
populate_by_name=True,
|
||||
)
|
||||
|
||||
page: int = 0
|
||||
per_page: int = 0
|
||||
@@ -230,11 +232,12 @@ class PhoneNumber(BaseModel):
|
||||
class Organization(BaseModel):
|
||||
"""An organization in Apollo"""
|
||||
|
||||
class Config:
|
||||
extra = "allow"
|
||||
arbitrary_types_allowed = True
|
||||
from_attributes = True
|
||||
populate_by_name = True
|
||||
model_config = ConfigDict(
|
||||
extra="allow",
|
||||
arbitrary_types_allowed=True,
|
||||
from_attributes=True,
|
||||
populate_by_name=True,
|
||||
)
|
||||
|
||||
id: Optional[str] = "N/A"
|
||||
name: Optional[str] = "N/A"
|
||||
@@ -268,11 +271,12 @@ class Organization(BaseModel):
|
||||
class Contact(BaseModel):
|
||||
"""A contact in Apollo"""
|
||||
|
||||
class Config:
|
||||
extra = "allow"
|
||||
arbitrary_types_allowed = True
|
||||
from_attributes = True
|
||||
populate_by_name = True
|
||||
model_config = ConfigDict(
|
||||
extra="allow",
|
||||
arbitrary_types_allowed=True,
|
||||
from_attributes=True,
|
||||
populate_by_name=True,
|
||||
)
|
||||
|
||||
contact_roles: list[Any] = []
|
||||
id: Optional[str] = None
|
||||
@@ -522,11 +526,12 @@ Use the page parameter to search the different pages of data.""",
|
||||
class SearchPeopleResponse(BaseModel):
|
||||
"""Response from Apollo's search people API"""
|
||||
|
||||
class Config:
|
||||
extra = "allow" # Allow extra fields
|
||||
arbitrary_types_allowed = True # Allow any type
|
||||
from_attributes = True # Allow from_orm
|
||||
populate_by_name = True # Allow field aliases to work both ways
|
||||
model_config = ConfigDict(
|
||||
extra="allow",
|
||||
arbitrary_types_allowed=True,
|
||||
from_attributes=True,
|
||||
populate_by_name=True,
|
||||
)
|
||||
|
||||
breadcrumbs: list[Breadcrumb] = []
|
||||
partial_results_only: bool = True
|
||||
|
||||
@@ -4,19 +4,19 @@ from typing import Any, List
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema, BlockType
|
||||
from backend.data.model import SchemaField
|
||||
from backend.util import json
|
||||
from backend.util.file import MediaFile, store_media_file
|
||||
from backend.util.file import store_media_file
|
||||
from backend.util.mock import MockObject
|
||||
from backend.util.type import convert
|
||||
from backend.util.type import MediaFileType, convert
|
||||
|
||||
|
||||
class FileStoreBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
file_in: MediaFile = SchemaField(
|
||||
file_in: MediaFileType = SchemaField(
|
||||
description="The file to store in the temporary directory, it can be a URL, data URI, or local path."
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
file_out: MediaFile = SchemaField(
|
||||
file_out: MediaFileType = SchemaField(
|
||||
description="The relative path to the stored file in the temporary directory."
|
||||
)
|
||||
|
||||
|
||||
@@ -42,7 +42,7 @@ class AIVideoGeneratorBlock(Block):
|
||||
description="Error message if video generation failed."
|
||||
)
|
||||
logs: list[str] = SchemaField(
|
||||
description="Generation progress logs.", optional=True
|
||||
description="Generation progress logs.",
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
|
||||
@@ -0,0 +1,51 @@
|
||||
from backend.data.block import (
|
||||
Block,
|
||||
BlockCategory,
|
||||
BlockManualWebhookConfig,
|
||||
BlockOutput,
|
||||
BlockSchema,
|
||||
)
|
||||
from backend.data.model import SchemaField
|
||||
from backend.integrations.providers import ProviderName
|
||||
from backend.integrations.webhooks.generic import GenericWebhookType
|
||||
|
||||
|
||||
class GenericWebhookTriggerBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
payload: dict = SchemaField(hidden=True, default={})
|
||||
constants: dict = SchemaField(
|
||||
description="The constants to be set when the block is put on the graph",
|
||||
default={},
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
payload: dict = SchemaField(
|
||||
description="The complete webhook payload that was received from the generic webhook."
|
||||
)
|
||||
constants: dict = SchemaField(
|
||||
description="The constants to be set when the block is put on the graph"
|
||||
)
|
||||
|
||||
example_payload = {"message": "Hello, World!"}
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="8fa8c167-2002-47ce-aba8-97572fc5d387",
|
||||
description="This block will output the contents of the generic input for the webhook.",
|
||||
categories={BlockCategory.INPUT},
|
||||
input_schema=GenericWebhookTriggerBlock.Input,
|
||||
output_schema=GenericWebhookTriggerBlock.Output,
|
||||
webhook_config=BlockManualWebhookConfig(
|
||||
provider=ProviderName.GENERIC_WEBHOOK,
|
||||
webhook_type=GenericWebhookType.PLAIN,
|
||||
),
|
||||
test_input={"constants": {"key": "value"}, "payload": self.example_payload},
|
||||
test_output=[
|
||||
("constants", {"key": "value"}),
|
||||
("payload", self.example_payload),
|
||||
],
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
yield "constants", input_data.constants
|
||||
yield "payload", input_data.payload
|
||||
@@ -27,7 +27,6 @@ class HubSpotEngagementBlock(Block):
|
||||
timeframe_days: int = SchemaField(
|
||||
description="Number of days to look back for engagement",
|
||||
default=30,
|
||||
optional=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
|
||||
@@ -3,10 +3,11 @@ from typing import Any, Optional
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema, BlockType
|
||||
from backend.data.model import SchemaField
|
||||
from backend.util.file import MediaFile, store_media_file
|
||||
from backend.util.file import store_media_file
|
||||
from backend.util.mock import MockObject
|
||||
from backend.util.settings import Config
|
||||
from backend.util.text import TextFormatter
|
||||
from backend.util.type import LongTextType, MediaFileType, ShortTextType
|
||||
|
||||
formatter = TextFormatter()
|
||||
config = Config()
|
||||
@@ -39,11 +40,7 @@ class AgentInputBlock(Block):
|
||||
description="The placeholder values to be passed as input.",
|
||||
default=[],
|
||||
advanced=True,
|
||||
)
|
||||
limit_to_placeholder_values: bool = SchemaField(
|
||||
description="Whether to limit the selection to placeholder values.",
|
||||
default=False,
|
||||
advanced=True,
|
||||
hidden=True,
|
||||
)
|
||||
advanced: bool = SchemaField(
|
||||
description="Whether to show the input in the advanced section, if the field is not required.",
|
||||
@@ -56,6 +53,12 @@ class AgentInputBlock(Block):
|
||||
advanced=True,
|
||||
)
|
||||
|
||||
def generate_schema(self):
|
||||
schema = self.get_field_schema("value")
|
||||
if possible_values := self.placeholder_values:
|
||||
schema["enum"] = possible_values
|
||||
return schema
|
||||
|
||||
class Output(BlockSchema):
|
||||
result: Any = SchemaField(description="The value passed as input.")
|
||||
|
||||
@@ -72,14 +75,12 @@ class AgentInputBlock(Block):
|
||||
"name": "input_1",
|
||||
"description": "Example test input.",
|
||||
"placeholder_values": [],
|
||||
"limit_to_placeholder_values": False,
|
||||
},
|
||||
{
|
||||
"value": "Hello, World!",
|
||||
"name": "input_2",
|
||||
"description": "Example test input with placeholders.",
|
||||
"placeholder_values": ["Hello, World!"],
|
||||
"limit_to_placeholder_values": True,
|
||||
},
|
||||
],
|
||||
"test_output": [
|
||||
@@ -141,6 +142,9 @@ class AgentOutputBlock(Block):
|
||||
advanced=True,
|
||||
)
|
||||
|
||||
def generate_schema(self):
|
||||
return self.get_field_schema("value")
|
||||
|
||||
class Output(BlockSchema):
|
||||
output: Any = SchemaField(description="The value recorded as output.")
|
||||
name: Any = SchemaField(description="The name of the value recorded as output.")
|
||||
@@ -200,12 +204,11 @@ class AgentOutputBlock(Block):
|
||||
|
||||
class AgentShortTextInputBlock(AgentInputBlock):
|
||||
class Input(AgentInputBlock.Input):
|
||||
value: Optional[str] = SchemaField(
|
||||
value: Optional[ShortTextType] = SchemaField(
|
||||
description="Short text input.",
|
||||
default=None,
|
||||
advanced=False,
|
||||
title="Default Value",
|
||||
json_schema_extra={"format": "short-text"},
|
||||
)
|
||||
|
||||
class Output(AgentInputBlock.Output):
|
||||
@@ -224,14 +227,12 @@ class AgentShortTextInputBlock(AgentInputBlock):
|
||||
"name": "short_text_1",
|
||||
"description": "Short text example 1",
|
||||
"placeholder_values": [],
|
||||
"limit_to_placeholder_values": False,
|
||||
},
|
||||
{
|
||||
"value": "Quick test",
|
||||
"name": "short_text_2",
|
||||
"description": "Short text example 2",
|
||||
"placeholder_values": ["Quick test", "Another option"],
|
||||
"limit_to_placeholder_values": True,
|
||||
},
|
||||
],
|
||||
test_output=[
|
||||
@@ -243,12 +244,11 @@ class AgentShortTextInputBlock(AgentInputBlock):
|
||||
|
||||
class AgentLongTextInputBlock(AgentInputBlock):
|
||||
class Input(AgentInputBlock.Input):
|
||||
value: Optional[str] = SchemaField(
|
||||
value: Optional[LongTextType] = SchemaField(
|
||||
description="Long text input (potentially multi-line).",
|
||||
default=None,
|
||||
advanced=False,
|
||||
title="Default Value",
|
||||
json_schema_extra={"format": "long-text"},
|
||||
)
|
||||
|
||||
class Output(AgentInputBlock.Output):
|
||||
@@ -267,14 +267,12 @@ class AgentLongTextInputBlock(AgentInputBlock):
|
||||
"name": "long_text_1",
|
||||
"description": "Long text example 1",
|
||||
"placeholder_values": [],
|
||||
"limit_to_placeholder_values": False,
|
||||
},
|
||||
{
|
||||
"value": "Another multiline text input.",
|
||||
"name": "long_text_2",
|
||||
"description": "Long text example 2",
|
||||
"placeholder_values": ["Another multiline text input."],
|
||||
"limit_to_placeholder_values": True,
|
||||
},
|
||||
],
|
||||
test_output=[
|
||||
@@ -309,14 +307,12 @@ class AgentNumberInputBlock(AgentInputBlock):
|
||||
"name": "number_input_1",
|
||||
"description": "Number example 1",
|
||||
"placeholder_values": [],
|
||||
"limit_to_placeholder_values": False,
|
||||
},
|
||||
{
|
||||
"value": 314,
|
||||
"name": "number_input_2",
|
||||
"description": "Number example 2",
|
||||
"placeholder_values": [314, 2718],
|
||||
"limit_to_placeholder_values": True,
|
||||
},
|
||||
],
|
||||
test_output=[
|
||||
@@ -410,7 +406,7 @@ class AgentFileInputBlock(AgentInputBlock):
|
||||
"""
|
||||
|
||||
class Input(AgentInputBlock.Input):
|
||||
value: Optional[MediaFile] = SchemaField(
|
||||
value: Optional[MediaFileType] = SchemaField(
|
||||
description="Path or reference to an uploaded file.",
|
||||
default=None,
|
||||
advanced=False,
|
||||
@@ -459,8 +455,7 @@ class AgentFileInputBlock(AgentInputBlock):
|
||||
|
||||
class AgentDropdownInputBlock(AgentInputBlock):
|
||||
"""
|
||||
A specialized text input block that relies on placeholder_values +
|
||||
limit_to_placeholder_values to present a dropdown.
|
||||
A specialized text input block that relies on placeholder_values to present a dropdown.
|
||||
"""
|
||||
|
||||
class Input(AgentInputBlock.Input):
|
||||
@@ -476,10 +471,6 @@ class AgentDropdownInputBlock(AgentInputBlock):
|
||||
advanced=False,
|
||||
title="Dropdown Options",
|
||||
)
|
||||
limit_to_placeholder_values: bool = SchemaField(
|
||||
description="Whether the selection is limited to placeholder values.",
|
||||
default=True,
|
||||
)
|
||||
|
||||
class Output(AgentInputBlock.Output):
|
||||
result: str = SchemaField(description="Selected dropdown value.")
|
||||
@@ -496,14 +487,12 @@ class AgentDropdownInputBlock(AgentInputBlock):
|
||||
"value": "Option A",
|
||||
"name": "dropdown_1",
|
||||
"placeholder_values": ["Option A", "Option B", "Option C"],
|
||||
"limit_to_placeholder_values": True,
|
||||
"description": "Dropdown example 1",
|
||||
},
|
||||
{
|
||||
"value": "Option C",
|
||||
"name": "dropdown_2",
|
||||
"placeholder_values": ["Option A", "Option B", "Option C"],
|
||||
"limit_to_placeholder_values": True,
|
||||
"description": "Dropdown example 2",
|
||||
},
|
||||
],
|
||||
@@ -550,3 +539,17 @@ class AgentToggleInputBlock(AgentInputBlock):
|
||||
("result", False),
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
IO_BLOCK_IDs = [
|
||||
AgentInputBlock().id,
|
||||
AgentOutputBlock().id,
|
||||
AgentShortTextInputBlock().id,
|
||||
AgentLongTextInputBlock().id,
|
||||
AgentNumberInputBlock().id,
|
||||
AgentDateInputBlock().id,
|
||||
AgentTimeInputBlock().id,
|
||||
AgentFileInputBlock().id,
|
||||
AgentDropdownInputBlock().id,
|
||||
AgentToggleInputBlock().id,
|
||||
]
|
||||
|
||||
@@ -23,7 +23,7 @@ class JinaChunkingBlock(Block):
|
||||
class Output(BlockSchema):
|
||||
chunks: list = SchemaField(description="List of chunked texts")
|
||||
tokens: list = SchemaField(
|
||||
description="List of token information for each chunk", optional=True
|
||||
description="List of token information for each chunk",
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from groq._utils._utils import quote
|
||||
from urllib.parse import quote
|
||||
|
||||
from backend.blocks.jina._auth import (
|
||||
TEST_CREDENTIALS,
|
||||
|
||||
@@ -28,8 +28,8 @@ class LinearCreateIssueBlock(Block):
|
||||
priority: int | None = SchemaField(
|
||||
description="Priority of the issue",
|
||||
default=None,
|
||||
minimum=0,
|
||||
maximum=4,
|
||||
ge=0,
|
||||
le=4,
|
||||
)
|
||||
project_name: str | None = SchemaField(
|
||||
description="Name of the project to create the issue on",
|
||||
|
||||
@@ -4,30 +4,25 @@ from abc import ABC
|
||||
from enum import Enum, EnumMeta
|
||||
from json import JSONDecodeError
|
||||
from types import MappingProxyType
|
||||
from typing import TYPE_CHECKING, Any, Iterable, List, Literal, NamedTuple, Optional
|
||||
|
||||
from pydantic import BaseModel, SecretStr
|
||||
|
||||
from backend.data.model import NodeExecutionStats
|
||||
from backend.integrations.providers import ProviderName
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from enum import _EnumMemberT
|
||||
from typing import Any, Iterable, List, Literal, NamedTuple, Optional
|
||||
|
||||
import anthropic
|
||||
import ollama
|
||||
import openai
|
||||
from anthropic._types import NotGiven
|
||||
from anthropic import NotGiven
|
||||
from anthropic.types import ToolParam
|
||||
from groq import Groq
|
||||
from pydantic import BaseModel, SecretStr
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
|
||||
from backend.data.model import (
|
||||
APIKeyCredentials,
|
||||
CredentialsField,
|
||||
CredentialsMetaInput,
|
||||
NodeExecutionStats,
|
||||
SchemaField,
|
||||
)
|
||||
from backend.integrations.providers import ProviderName
|
||||
from backend.util import json
|
||||
from backend.util.settings import BehaveAs, Settings
|
||||
from backend.util.text import TextFormatter
|
||||
@@ -77,12 +72,10 @@ class ModelMetadata(NamedTuple):
|
||||
|
||||
class LlmModelMeta(EnumMeta):
|
||||
@property
|
||||
def __members__(
|
||||
self: type["_EnumMemberT"],
|
||||
) -> MappingProxyType[str, "_EnumMemberT"]:
|
||||
def __members__(self) -> MappingProxyType:
|
||||
if Settings().config.behave_as == BehaveAs.LOCAL:
|
||||
members = super().__members__
|
||||
return members
|
||||
return MappingProxyType(members)
|
||||
else:
|
||||
removed_providers = ["ollama"]
|
||||
existing_members = super().__members__
|
||||
@@ -424,7 +417,7 @@ def llm_call(
|
||||
response=(
|
||||
resp.content[0].name
|
||||
if isinstance(resp.content[0], anthropic.types.ToolUseBlock)
|
||||
else resp.content[0].text
|
||||
else getattr(resp.content[0], "text", "")
|
||||
),
|
||||
tool_calls=tool_calls,
|
||||
prompt_tokens=resp.usage.input_tokens,
|
||||
@@ -528,7 +521,7 @@ def llm_call(
|
||||
class AIBlockBase(Block, ABC):
|
||||
def __init__(self, *args, **kwargs):
|
||||
super().__init__(*args, **kwargs)
|
||||
self.prompt = ""
|
||||
self.prompt = []
|
||||
|
||||
def merge_llm_stats(self, block: "AIBlockBase"):
|
||||
self.merge_stats(block.execution_stats)
|
||||
@@ -587,7 +580,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
|
||||
response: dict[str, Any] = SchemaField(
|
||||
description="The response object generated by the language model."
|
||||
)
|
||||
prompt: str = SchemaField(description="The prompt sent to the language model.")
|
||||
prompt: list = SchemaField(description="The prompt sent to the language model.")
|
||||
error: str = SchemaField(description="Error message if the API call failed.")
|
||||
|
||||
def __init__(self):
|
||||
@@ -609,7 +602,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
|
||||
test_credentials=TEST_CREDENTIALS,
|
||||
test_output=[
|
||||
("response", {"key1": "key1Value", "key2": "key2Value"}),
|
||||
("prompt", str),
|
||||
("prompt", list),
|
||||
],
|
||||
test_mock={
|
||||
"llm_call": lambda *args, **kwargs: LLMResponse(
|
||||
@@ -642,6 +635,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
|
||||
Test mocks work only on class functions, this wraps the llm_call function
|
||||
so that it can be mocked withing the block testing framework.
|
||||
"""
|
||||
self.prompt = prompt
|
||||
return llm_call(
|
||||
credentials=credentials,
|
||||
llm_model=llm_model,
|
||||
@@ -814,7 +808,7 @@ class AITextGeneratorBlock(AIBlockBase):
|
||||
response: str = SchemaField(
|
||||
description="The response generated by the language model."
|
||||
)
|
||||
prompt: str = SchemaField(description="The prompt sent to the language model.")
|
||||
prompt: list = SchemaField(description="The prompt sent to the language model.")
|
||||
error: str = SchemaField(description="Error message if the API call failed.")
|
||||
|
||||
def __init__(self):
|
||||
@@ -831,7 +825,7 @@ class AITextGeneratorBlock(AIBlockBase):
|
||||
test_credentials=TEST_CREDENTIALS,
|
||||
test_output=[
|
||||
("response", "Response text"),
|
||||
("prompt", str),
|
||||
("prompt", list),
|
||||
],
|
||||
test_mock={"llm_call": lambda *args, **kwargs: "Response text"},
|
||||
)
|
||||
@@ -850,7 +844,10 @@ class AITextGeneratorBlock(AIBlockBase):
|
||||
self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
|
||||
) -> BlockOutput:
|
||||
object_input_data = AIStructuredResponseGeneratorBlock.Input(
|
||||
**{attr: getattr(input_data, attr) for attr in input_data.model_fields},
|
||||
**{
|
||||
attr: getattr(input_data, attr)
|
||||
for attr in AITextGeneratorBlock.Input.model_fields
|
||||
},
|
||||
expected_format={},
|
||||
)
|
||||
yield "response", self.llm_call(object_input_data, credentials)
|
||||
@@ -907,7 +904,7 @@ class AITextSummarizerBlock(AIBlockBase):
|
||||
|
||||
class Output(BlockSchema):
|
||||
summary: str = SchemaField(description="The final summary of the text.")
|
||||
prompt: str = SchemaField(description="The prompt sent to the language model.")
|
||||
prompt: list = SchemaField(description="The prompt sent to the language model.")
|
||||
error: str = SchemaField(description="Error message if the API call failed.")
|
||||
|
||||
def __init__(self):
|
||||
@@ -924,7 +921,7 @@ class AITextSummarizerBlock(AIBlockBase):
|
||||
test_credentials=TEST_CREDENTIALS,
|
||||
test_output=[
|
||||
("summary", "Final summary of a long text"),
|
||||
("prompt", str),
|
||||
("prompt", list),
|
||||
],
|
||||
test_mock={
|
||||
"llm_call": lambda input_data, credentials: (
|
||||
@@ -1033,8 +1030,14 @@ class AITextSummarizerBlock(AIBlockBase):
|
||||
|
||||
class AIConversationBlock(AIBlockBase):
|
||||
class Input(BlockSchema):
|
||||
prompt: str = SchemaField(
|
||||
description="The prompt to send to the language model.",
|
||||
placeholder="Enter your prompt here...",
|
||||
default="",
|
||||
advanced=False,
|
||||
)
|
||||
messages: List[Any] = SchemaField(
|
||||
description="List of messages in the conversation.", min_length=1
|
||||
description="List of messages in the conversation.",
|
||||
)
|
||||
model: LlmModel = SchemaField(
|
||||
title="LLM Model",
|
||||
@@ -1057,7 +1060,7 @@ class AIConversationBlock(AIBlockBase):
|
||||
response: str = SchemaField(
|
||||
description="The model's response to the conversation."
|
||||
)
|
||||
prompt: str = SchemaField(description="The prompt sent to the language model.")
|
||||
prompt: list = SchemaField(description="The prompt sent to the language model.")
|
||||
error: str = SchemaField(description="Error message if the API call failed.")
|
||||
|
||||
def __init__(self):
|
||||
@@ -1086,7 +1089,7 @@ class AIConversationBlock(AIBlockBase):
|
||||
"response",
|
||||
"The 2020 World Series was played at Globe Life Field in Arlington, Texas.",
|
||||
),
|
||||
("prompt", str),
|
||||
("prompt", list),
|
||||
],
|
||||
test_mock={
|
||||
"llm_call": lambda *args, **kwargs: "The 2020 World Series was played at Globe Life Field in Arlington, Texas."
|
||||
@@ -1108,7 +1111,7 @@ class AIConversationBlock(AIBlockBase):
|
||||
) -> BlockOutput:
|
||||
response = self.llm_call(
|
||||
AIStructuredResponseGeneratorBlock.Input(
|
||||
prompt="",
|
||||
prompt=input_data.prompt,
|
||||
credentials=input_data.credentials,
|
||||
model=input_data.model,
|
||||
conversation_history=input_data.messages,
|
||||
@@ -1166,7 +1169,7 @@ class AIListGeneratorBlock(AIBlockBase):
|
||||
list_item: str = SchemaField(
|
||||
description="Each individual item in the list.",
|
||||
)
|
||||
prompt: str = SchemaField(description="The prompt sent to the language model.")
|
||||
prompt: list = SchemaField(description="The prompt sent to the language model.")
|
||||
error: str = SchemaField(
|
||||
description="Error message if the list generation failed."
|
||||
)
|
||||
@@ -1198,7 +1201,7 @@ class AIListGeneratorBlock(AIBlockBase):
|
||||
"generated_list",
|
||||
["Zylora Prime", "Kharon-9", "Vortexia", "Oceara", "Draknos"],
|
||||
),
|
||||
("prompt", str),
|
||||
("prompt", list),
|
||||
("list_item", "Zylora Prime"),
|
||||
("list_item", "Kharon-9"),
|
||||
("list_item", "Vortexia"),
|
||||
|
||||
@@ -8,13 +8,13 @@ from moviepy.video.io.VideoFileClip import VideoFileClip
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
|
||||
from backend.data.model import SchemaField
|
||||
from backend.util.file import MediaFile, get_exec_file_path, store_media_file
|
||||
from backend.util.file import MediaFileType, get_exec_file_path, store_media_file
|
||||
|
||||
|
||||
class MediaDurationBlock(Block):
|
||||
|
||||
class Input(BlockSchema):
|
||||
media_in: MediaFile = SchemaField(
|
||||
media_in: MediaFileType = SchemaField(
|
||||
description="Media input (URL, data URI, or local path)."
|
||||
)
|
||||
is_video: bool = SchemaField(
|
||||
@@ -69,7 +69,7 @@ class LoopVideoBlock(Block):
|
||||
"""
|
||||
|
||||
class Input(BlockSchema):
|
||||
video_in: MediaFile = SchemaField(
|
||||
video_in: MediaFileType = SchemaField(
|
||||
description="The input video (can be a URL, data URI, or local path)."
|
||||
)
|
||||
# Provide EITHER a `duration` or `n_loops` or both. We'll demonstrate `duration`.
|
||||
@@ -137,7 +137,7 @@ class LoopVideoBlock(Block):
|
||||
assert isinstance(looped_clip, VideoFileClip)
|
||||
|
||||
# 4) Save the looped output
|
||||
output_filename = MediaFile(
|
||||
output_filename = MediaFileType(
|
||||
f"{node_exec_id}_looped_{os.path.basename(local_video_path)}"
|
||||
)
|
||||
output_abspath = get_exec_file_path(graph_exec_id, output_filename)
|
||||
@@ -162,10 +162,10 @@ class AddAudioToVideoBlock(Block):
|
||||
"""
|
||||
|
||||
class Input(BlockSchema):
|
||||
video_in: MediaFile = SchemaField(
|
||||
video_in: MediaFileType = SchemaField(
|
||||
description="Video input (URL, data URI, or local path)."
|
||||
)
|
||||
audio_in: MediaFile = SchemaField(
|
||||
audio_in: MediaFileType = SchemaField(
|
||||
description="Audio input (URL, data URI, or local path)."
|
||||
)
|
||||
volume: float = SchemaField(
|
||||
@@ -178,7 +178,7 @@ class AddAudioToVideoBlock(Block):
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
video_out: MediaFile = SchemaField(
|
||||
video_out: MediaFileType = SchemaField(
|
||||
description="Final video (with attached audio), as a path or data URI."
|
||||
)
|
||||
error: str = SchemaField(
|
||||
@@ -229,7 +229,7 @@ class AddAudioToVideoBlock(Block):
|
||||
final_clip = video_clip.with_audio(audio_clip)
|
||||
|
||||
# 4) Write to output file
|
||||
output_filename = MediaFile(
|
||||
output_filename = MediaFileType(
|
||||
f"{node_exec_id}_audio_attached_{os.path.basename(local_video_path)}"
|
||||
)
|
||||
output_abspath = os.path.join(abs_temp_dir, output_filename)
|
||||
|
||||
@@ -6,13 +6,14 @@ from backend.blocks.nvidia._auth import (
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
|
||||
from backend.data.model import SchemaField
|
||||
from backend.util.request import requests
|
||||
from backend.util.type import MediaFileType
|
||||
|
||||
|
||||
class NvidiaDeepfakeDetectBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
credentials: NvidiaCredentialsInput = NvidiaCredentialsField()
|
||||
image_base64: str = SchemaField(
|
||||
description="Image to analyze for deepfakes", image_upload=True
|
||||
image_base64: MediaFileType = SchemaField(
|
||||
description="Image to analyze for deepfakes",
|
||||
)
|
||||
return_image: bool = SchemaField(
|
||||
description="Whether to return the processed image with markings",
|
||||
@@ -22,16 +23,12 @@ class NvidiaDeepfakeDetectBlock(Block):
|
||||
class Output(BlockSchema):
|
||||
status: str = SchemaField(
|
||||
description="Detection status (SUCCESS, ERROR, CONTENT_FILTERED)",
|
||||
default="",
|
||||
)
|
||||
image: str = SchemaField(
|
||||
image: MediaFileType = SchemaField(
|
||||
description="Processed image with detection markings (if return_image=True)",
|
||||
default="",
|
||||
image_output=True,
|
||||
)
|
||||
is_deepfake: float = SchemaField(
|
||||
description="Probability that the image is a deepfake (0-1)",
|
||||
default=0.0,
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
|
||||
@@ -12,7 +12,7 @@ from backend.data.model import (
|
||||
SchemaField,
|
||||
)
|
||||
from backend.integrations.providers import ProviderName
|
||||
from backend.util.file import MediaFile, store_media_file
|
||||
from backend.util.file import MediaFileType, store_media_file
|
||||
from backend.util.request import Requests
|
||||
|
||||
|
||||
@@ -57,7 +57,7 @@ class ScreenshotWebPageBlock(Block):
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
image: MediaFile = SchemaField(description="The screenshot image data")
|
||||
image: MediaFileType = SchemaField(description="The screenshot image data")
|
||||
error: str = SchemaField(description="Error message if the screenshot failed")
|
||||
|
||||
def __init__(self):
|
||||
@@ -142,7 +142,7 @@ class ScreenshotWebPageBlock(Block):
|
||||
return {
|
||||
"image": store_media_file(
|
||||
graph_exec_id=graph_exec_id,
|
||||
file=MediaFile(
|
||||
file=MediaFileType(
|
||||
f"data:image/{format.value};base64,{b64encode(response.content).decode('utf-8')}"
|
||||
),
|
||||
return_content=True,
|
||||
|
||||
@@ -14,7 +14,6 @@ from backend.data.block import (
|
||||
BlockOutput,
|
||||
BlockSchema,
|
||||
BlockType,
|
||||
get_block,
|
||||
)
|
||||
from backend.data.model import SchemaField
|
||||
from backend.util import json
|
||||
@@ -264,9 +263,7 @@ class SmartDecisionMakerBlock(Block):
|
||||
Raises:
|
||||
ValueError: If the block specified by sink_node.block_id is not found.
|
||||
"""
|
||||
block = get_block(sink_node.block_id)
|
||||
if not block:
|
||||
raise ValueError(f"Block not found: {sink_node.block_id}")
|
||||
block = sink_node.block
|
||||
|
||||
tool_function: dict[str, Any] = {
|
||||
"name": re.sub(r"[^a-zA-Z0-9_-]", "_", block.name).lower(),
|
||||
|
||||
@@ -39,7 +39,6 @@ class TwitterGetListBlock(Block):
|
||||
list_id: str = SchemaField(
|
||||
description="The ID of the List to lookup",
|
||||
placeholder="Enter list ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
@@ -184,7 +183,6 @@ class TwitterGetOwnedListsBlock(Block):
|
||||
user_id: str = SchemaField(
|
||||
description="The user ID whose owned Lists to retrieve",
|
||||
placeholder="Enter user ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
max_results: int | None = SchemaField(
|
||||
|
||||
@@ -45,13 +45,11 @@ class TwitterRemoveListMemberBlock(Block):
|
||||
list_id: str = SchemaField(
|
||||
description="The ID of the List to remove the member from",
|
||||
placeholder="Enter list ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
user_id: str = SchemaField(
|
||||
description="The ID of the user to remove from the List",
|
||||
placeholder="Enter user ID to remove",
|
||||
required=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
@@ -120,13 +118,11 @@ class TwitterAddListMemberBlock(Block):
|
||||
list_id: str = SchemaField(
|
||||
description="The ID of the List to add the member to",
|
||||
placeholder="Enter list ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
user_id: str = SchemaField(
|
||||
description="The ID of the user to add to the List",
|
||||
placeholder="Enter user ID to add",
|
||||
required=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
@@ -195,7 +191,6 @@ class TwitterGetListMembersBlock(Block):
|
||||
list_id: str = SchemaField(
|
||||
description="The ID of the List to get members from",
|
||||
placeholder="Enter list ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
max_results: int | None = SchemaField(
|
||||
@@ -376,7 +371,6 @@ class TwitterGetListMembershipsBlock(Block):
|
||||
user_id: str = SchemaField(
|
||||
description="The ID of the user whose List memberships to retrieve",
|
||||
placeholder="Enter user ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
max_results: int | None = SchemaField(
|
||||
|
||||
@@ -42,7 +42,6 @@ class TwitterGetListTweetsBlock(Block):
|
||||
list_id: str = SchemaField(
|
||||
description="The ID of the List whose Tweets you would like to retrieve",
|
||||
placeholder="Enter list ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
max_results: int | None = SchemaField(
|
||||
|
||||
@@ -28,7 +28,6 @@ class TwitterDeleteListBlock(Block):
|
||||
list_id: str = SchemaField(
|
||||
description="The ID of the List to be deleted",
|
||||
placeholder="Enter list ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
|
||||
@@ -39,7 +39,6 @@ class TwitterUnpinListBlock(Block):
|
||||
list_id: str = SchemaField(
|
||||
description="The ID of the List to unpin",
|
||||
placeholder="Enter list ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
@@ -103,7 +102,6 @@ class TwitterPinListBlock(Block):
|
||||
list_id: str = SchemaField(
|
||||
description="The ID of the List to pin",
|
||||
placeholder="Enter list ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
|
||||
@@ -227,7 +227,6 @@ class TwitterGetSpaceByIdBlock(Block):
|
||||
space_id: str = SchemaField(
|
||||
description="Space ID to lookup",
|
||||
placeholder="Enter Space ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
@@ -389,7 +388,6 @@ class TwitterGetSpaceBuyersBlock(Block):
|
||||
space_id: str = SchemaField(
|
||||
description="Space ID to lookup buyers for",
|
||||
placeholder="Enter Space ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
@@ -517,7 +515,6 @@ class TwitterGetSpaceTweetsBlock(Block):
|
||||
space_id: str = SchemaField(
|
||||
description="Space ID to lookup tweets for",
|
||||
placeholder="Enter Space ID",
|
||||
required=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
|
||||
@@ -12,12 +12,12 @@ async def log_raw_analytics(
|
||||
data_index: str,
|
||||
):
|
||||
details = await prisma.models.AnalyticsDetails.prisma().create(
|
||||
data={
|
||||
"userId": user_id,
|
||||
"type": type,
|
||||
"data": prisma.Json(data),
|
||||
"dataIndex": data_index,
|
||||
}
|
||||
data=prisma.types.AnalyticsDetailsCreateInput(
|
||||
userId=user_id,
|
||||
type=type,
|
||||
data=prisma.Json(data),
|
||||
dataIndex=data_index,
|
||||
)
|
||||
)
|
||||
return details
|
||||
|
||||
@@ -32,12 +32,12 @@ async def log_raw_metric(
|
||||
raise ValueError("metric_value must be non-negative")
|
||||
|
||||
result = await prisma.models.AnalyticsMetrics.prisma().create(
|
||||
data={
|
||||
"value": metric_value,
|
||||
"analyticMetric": metric_name,
|
||||
"userId": user_id,
|
||||
"dataString": data_string,
|
||||
},
|
||||
data=prisma.types.AnalyticsMetricsCreateInput(
|
||||
value=metric_value,
|
||||
analyticMetric=metric_name,
|
||||
userId=user_id,
|
||||
dataString=data_string,
|
||||
)
|
||||
)
|
||||
|
||||
return result
|
||||
|
||||
@@ -17,6 +17,7 @@ from typing import (
|
||||
import jsonref
|
||||
import jsonschema
|
||||
from prisma.models import AgentBlock
|
||||
from prisma.types import AgentBlockCreateInput
|
||||
from pydantic import BaseModel
|
||||
|
||||
from backend.data.model import NodeExecutionStats
|
||||
@@ -120,21 +121,26 @@ class BlockSchema(BaseModel):
|
||||
def get_mismatch_error(cls, data: BlockInput) -> str | None:
|
||||
return cls.validate_data(data)
|
||||
|
||||
@classmethod
|
||||
def get_field_schema(cls, field_name: str) -> dict[str, Any]:
|
||||
model_schema = cls.jsonschema().get("properties", {})
|
||||
if not model_schema:
|
||||
raise ValueError(f"Invalid model schema {cls}")
|
||||
|
||||
property_schema = model_schema.get(field_name)
|
||||
if not property_schema:
|
||||
raise ValueError(f"Invalid property name {field_name}")
|
||||
|
||||
return property_schema
|
||||
|
||||
@classmethod
|
||||
def validate_field(cls, field_name: str, data: BlockInput) -> str | None:
|
||||
"""
|
||||
Validate the data against a specific property (one of the input/output name).
|
||||
Returns the validation error message if the data does not match the schema.
|
||||
"""
|
||||
model_schema = cls.jsonschema().get("properties", {})
|
||||
if not model_schema:
|
||||
return f"Invalid model schema {cls}"
|
||||
|
||||
property_schema = model_schema.get(field_name)
|
||||
if not property_schema:
|
||||
return f"Invalid property name {field_name}"
|
||||
|
||||
try:
|
||||
property_schema = cls.get_field_schema(field_name)
|
||||
jsonschema.validate(json.to_dict(data), property_schema)
|
||||
return None
|
||||
except jsonschema.ValidationError as e:
|
||||
@@ -475,12 +481,12 @@ async def initialize_blocks() -> None:
|
||||
)
|
||||
if not existing_block:
|
||||
await AgentBlock.prisma().create(
|
||||
data={
|
||||
"id": block.id,
|
||||
"name": block.name,
|
||||
"inputSchema": json.dumps(block.input_schema.jsonschema()),
|
||||
"outputSchema": json.dumps(block.output_schema.jsonschema()),
|
||||
}
|
||||
data=AgentBlockCreateInput(
|
||||
id=block.id,
|
||||
name=block.name,
|
||||
inputSchema=json.dumps(block.input_schema.jsonschema()),
|
||||
outputSchema=json.dumps(block.output_schema.jsonschema()),
|
||||
)
|
||||
)
|
||||
continue
|
||||
|
||||
|
||||
@@ -14,7 +14,11 @@ from prisma.enums import (
|
||||
)
|
||||
from prisma.errors import UniqueViolationError
|
||||
from prisma.models import CreditRefundRequest, CreditTransaction, User
|
||||
from prisma.types import CreditTransactionCreateInput, CreditTransactionWhereInput
|
||||
from prisma.types import (
|
||||
CreditRefundRequestCreateInput,
|
||||
CreditTransactionCreateInput,
|
||||
CreditTransactionWhereInput,
|
||||
)
|
||||
from tenacity import retry, stop_after_attempt, wait_exponential
|
||||
|
||||
from backend.data import db
|
||||
@@ -331,15 +335,15 @@ class UserCreditBase(ABC):
|
||||
amount = min(-user_balance, 0)
|
||||
|
||||
# Create the transaction
|
||||
transaction_data: CreditTransactionCreateInput = {
|
||||
"userId": user_id,
|
||||
"amount": amount,
|
||||
"runningBalance": user_balance + amount,
|
||||
"type": transaction_type,
|
||||
"metadata": metadata,
|
||||
"isActive": is_active,
|
||||
"createdAt": self.time_now(),
|
||||
}
|
||||
transaction_data = CreditTransactionCreateInput(
|
||||
userId=user_id,
|
||||
amount=amount,
|
||||
runningBalance=user_balance + amount,
|
||||
type=transaction_type,
|
||||
metadata=metadata,
|
||||
isActive=is_active,
|
||||
createdAt=self.time_now(),
|
||||
)
|
||||
if transaction_key:
|
||||
transaction_data["transactionKey"] = transaction_key
|
||||
tx = await CreditTransaction.prisma().create(data=transaction_data)
|
||||
@@ -422,15 +426,15 @@ class UserCredit(UserCreditBase):
|
||||
|
||||
try:
|
||||
refund_request = await CreditRefundRequest.prisma().create(
|
||||
data={
|
||||
"id": refund_key,
|
||||
"transactionKey": transaction_key,
|
||||
"userId": user_id,
|
||||
"amount": amount,
|
||||
"reason": metadata.get("reason", ""),
|
||||
"status": CreditRefundRequestStatus.PENDING,
|
||||
"result": "The refund request is under review.",
|
||||
}
|
||||
data=CreditRefundRequestCreateInput(
|
||||
id=refund_key,
|
||||
transactionKey=transaction_key,
|
||||
userId=user_id,
|
||||
amount=amount,
|
||||
reason=metadata.get("reason", ""),
|
||||
status=CreditRefundRequestStatus.PENDING,
|
||||
result="The refund request is under review.",
|
||||
)
|
||||
)
|
||||
except UniqueViolationError:
|
||||
raise ValueError(
|
||||
|
||||
@@ -12,6 +12,7 @@ from typing import (
|
||||
Literal,
|
||||
Optional,
|
||||
TypeVar,
|
||||
overload,
|
||||
)
|
||||
|
||||
from prisma import Json
|
||||
@@ -23,6 +24,8 @@ from prisma.models import (
|
||||
)
|
||||
from prisma.types import (
|
||||
AgentGraphExecutionWhereInput,
|
||||
AgentNodeExecutionCreateInput,
|
||||
AgentNodeExecutionInputOutputCreateInput,
|
||||
AgentNodeExecutionUpdateInput,
|
||||
AgentNodeExecutionWhereInput,
|
||||
)
|
||||
@@ -36,7 +39,11 @@ from backend.util.settings import Config
|
||||
|
||||
from .block import BlockData, BlockInput, BlockType, CompletedBlockOutput, get_block
|
||||
from .db import BaseDbModel
|
||||
from .includes import EXECUTION_RESULT_INCLUDE, GRAPH_EXECUTION_INCLUDE
|
||||
from .includes import (
|
||||
EXECUTION_RESULT_INCLUDE,
|
||||
GRAPH_EXECUTION_INCLUDE,
|
||||
GRAPH_EXECUTION_INCLUDE_WITH_NODES,
|
||||
)
|
||||
from .model import GraphExecutionStats, NodeExecutionStats
|
||||
from .queue import AsyncRedisEventBus, RedisEventBus
|
||||
|
||||
@@ -54,23 +61,27 @@ ExecutionStatus = AgentExecutionStatus
|
||||
|
||||
class GraphExecutionMeta(BaseDbModel):
|
||||
user_id: str
|
||||
started_at: datetime
|
||||
ended_at: datetime
|
||||
cost: Optional[int] = Field(..., description="Execution cost in credits")
|
||||
duration: float = Field(..., description="Seconds from start to end of run")
|
||||
total_run_time: float = Field(..., description="Seconds of node runtime")
|
||||
status: ExecutionStatus
|
||||
graph_id: str
|
||||
graph_version: int
|
||||
preset_id: Optional[str] = None
|
||||
status: ExecutionStatus
|
||||
started_at: datetime
|
||||
ended_at: datetime
|
||||
|
||||
class Stats(BaseModel):
|
||||
cost: int = Field(..., description="Execution cost (cents)")
|
||||
duration: float = Field(..., description="Seconds from start to end of run")
|
||||
node_exec_time: float = Field(..., description="Seconds of total node runtime")
|
||||
node_exec_count: int = Field(..., description="Number of node executions")
|
||||
|
||||
stats: Stats | None
|
||||
|
||||
@staticmethod
|
||||
def from_db(_graph_exec: AgentGraphExecution):
|
||||
now = datetime.now(timezone.utc)
|
||||
# TODO: make started_at and ended_at optional
|
||||
start_time = _graph_exec.startedAt or _graph_exec.createdAt
|
||||
end_time = _graph_exec.updatedAt or now
|
||||
duration = (end_time - start_time).total_seconds()
|
||||
total_run_time = duration
|
||||
|
||||
try:
|
||||
stats = GraphExecutionStats.model_validate(_graph_exec.stats)
|
||||
@@ -82,28 +93,31 @@ class GraphExecutionMeta(BaseDbModel):
|
||||
)
|
||||
stats = None
|
||||
|
||||
duration = stats.walltime if stats else duration
|
||||
total_run_time = stats.nodes_walltime if stats else total_run_time
|
||||
|
||||
return GraphExecutionMeta(
|
||||
id=_graph_exec.id,
|
||||
user_id=_graph_exec.userId,
|
||||
started_at=start_time,
|
||||
ended_at=end_time,
|
||||
cost=stats.cost if stats else None,
|
||||
duration=duration,
|
||||
total_run_time=total_run_time,
|
||||
status=ExecutionStatus(_graph_exec.executionStatus),
|
||||
graph_id=_graph_exec.agentGraphId,
|
||||
graph_version=_graph_exec.agentGraphVersion,
|
||||
preset_id=_graph_exec.agentPresetId,
|
||||
status=ExecutionStatus(_graph_exec.executionStatus),
|
||||
started_at=start_time,
|
||||
ended_at=end_time,
|
||||
stats=(
|
||||
GraphExecutionMeta.Stats(
|
||||
cost=stats.cost,
|
||||
duration=stats.walltime,
|
||||
node_exec_time=stats.nodes_walltime,
|
||||
node_exec_count=stats.node_count,
|
||||
)
|
||||
if stats
|
||||
else None
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
class GraphExecution(GraphExecutionMeta):
|
||||
inputs: BlockInput
|
||||
outputs: CompletedBlockOutput
|
||||
node_executions: list["NodeExecutionResult"]
|
||||
|
||||
@staticmethod
|
||||
def from_db(_graph_exec: AgentGraphExecution):
|
||||
@@ -112,10 +126,11 @@ class GraphExecution(GraphExecutionMeta):
|
||||
|
||||
graph_exec = GraphExecutionMeta.from_db(_graph_exec)
|
||||
|
||||
node_executions = sorted(
|
||||
complete_node_executions = sorted(
|
||||
[
|
||||
NodeExecutionResult.from_db(ne, _graph_exec.userId)
|
||||
for ne in _graph_exec.AgentNodeExecutions
|
||||
if ne.executionStatus != ExecutionStatus.INCOMPLETE
|
||||
],
|
||||
key=lambda ne: (ne.queue_time is None, ne.queue_time or ne.add_time),
|
||||
)
|
||||
@@ -124,7 +139,7 @@ class GraphExecution(GraphExecutionMeta):
|
||||
**{
|
||||
# inputs from Agent Input Blocks
|
||||
exec.input_data["name"]: exec.input_data.get("value")
|
||||
for exec in node_executions
|
||||
for exec in complete_node_executions
|
||||
if (
|
||||
(block := get_block(exec.block_id))
|
||||
and block.block_type == BlockType.INPUT
|
||||
@@ -133,7 +148,7 @@ class GraphExecution(GraphExecutionMeta):
|
||||
**{
|
||||
# input from webhook-triggered block
|
||||
"payload": exec.input_data["payload"]
|
||||
for exec in node_executions
|
||||
for exec in complete_node_executions
|
||||
if (
|
||||
(block := get_block(exec.block_id))
|
||||
and block.block_type
|
||||
@@ -143,7 +158,7 @@ class GraphExecution(GraphExecutionMeta):
|
||||
}
|
||||
|
||||
outputs: CompletedBlockOutput = defaultdict(list)
|
||||
for exec in node_executions:
|
||||
for exec in complete_node_executions:
|
||||
if (
|
||||
block := get_block(exec.block_id)
|
||||
) and block.block_type == BlockType.OUTPUT:
|
||||
@@ -154,10 +169,36 @@ class GraphExecution(GraphExecutionMeta):
|
||||
return GraphExecution(
|
||||
**{
|
||||
field_name: getattr(graph_exec, field_name)
|
||||
for field_name in graph_exec.model_fields
|
||||
for field_name in GraphExecutionMeta.model_fields
|
||||
},
|
||||
inputs=inputs,
|
||||
outputs=outputs,
|
||||
)
|
||||
|
||||
|
||||
class GraphExecutionWithNodes(GraphExecution):
|
||||
node_executions: list["NodeExecutionResult"]
|
||||
|
||||
@staticmethod
|
||||
def from_db(_graph_exec: AgentGraphExecution):
|
||||
if _graph_exec.AgentNodeExecutions is None:
|
||||
raise ValueError("Node executions must be included in query")
|
||||
|
||||
graph_exec_with_io = GraphExecution.from_db(_graph_exec)
|
||||
|
||||
node_executions = sorted(
|
||||
[
|
||||
NodeExecutionResult.from_db(ne, _graph_exec.userId)
|
||||
for ne in _graph_exec.AgentNodeExecutions
|
||||
],
|
||||
key=lambda ne: (ne.queue_time is None, ne.queue_time or ne.add_time),
|
||||
)
|
||||
|
||||
return GraphExecutionWithNodes(
|
||||
**{
|
||||
field_name: getattr(graph_exec_with_io, field_name)
|
||||
for field_name in GraphExecution.model_fields
|
||||
},
|
||||
node_executions=node_executions,
|
||||
)
|
||||
|
||||
@@ -250,12 +291,51 @@ async def get_graph_execution_meta(
|
||||
return GraphExecutionMeta.from_db(execution) if execution else None
|
||||
|
||||
|
||||
async def get_graph_execution(user_id: str, execution_id: str) -> GraphExecution | None:
|
||||
@overload
|
||||
async def get_graph_execution(
|
||||
user_id: str,
|
||||
execution_id: str,
|
||||
include_node_executions: Literal[True],
|
||||
) -> GraphExecutionWithNodes | None: ...
|
||||
|
||||
|
||||
@overload
|
||||
async def get_graph_execution(
|
||||
user_id: str,
|
||||
execution_id: str,
|
||||
include_node_executions: Literal[False] = False,
|
||||
) -> GraphExecution | None: ...
|
||||
|
||||
|
||||
@overload
|
||||
async def get_graph_execution(
|
||||
user_id: str,
|
||||
execution_id: str,
|
||||
include_node_executions: bool = False,
|
||||
) -> GraphExecution | GraphExecutionWithNodes | None: ...
|
||||
|
||||
|
||||
async def get_graph_execution(
|
||||
user_id: str,
|
||||
execution_id: str,
|
||||
include_node_executions: bool = False,
|
||||
) -> GraphExecution | GraphExecutionWithNodes | None:
|
||||
execution = await AgentGraphExecution.prisma().find_first(
|
||||
where={"id": execution_id, "isDeleted": False, "userId": user_id},
|
||||
include=GRAPH_EXECUTION_INCLUDE,
|
||||
include=(
|
||||
GRAPH_EXECUTION_INCLUDE_WITH_NODES
|
||||
if include_node_executions
|
||||
else GRAPH_EXECUTION_INCLUDE
|
||||
),
|
||||
)
|
||||
if not execution:
|
||||
return None
|
||||
|
||||
return (
|
||||
GraphExecutionWithNodes.from_db(execution)
|
||||
if include_node_executions
|
||||
else GraphExecution.from_db(execution)
|
||||
)
|
||||
return GraphExecution.from_db(execution) if execution else None
|
||||
|
||||
|
||||
async def create_graph_execution(
|
||||
@@ -264,7 +344,7 @@ async def create_graph_execution(
|
||||
nodes_input: list[tuple[str, BlockInput]],
|
||||
user_id: str,
|
||||
preset_id: str | None = None,
|
||||
) -> tuple[str, list[NodeExecutionResult]]:
|
||||
) -> GraphExecutionWithNodes:
|
||||
"""
|
||||
Create a new AgentGraphExecution record.
|
||||
Returns:
|
||||
@@ -294,13 +374,10 @@ async def create_graph_execution(
|
||||
"userId": user_id,
|
||||
"agentPresetId": preset_id,
|
||||
},
|
||||
include=GRAPH_EXECUTION_INCLUDE,
|
||||
include=GRAPH_EXECUTION_INCLUDE_WITH_NODES,
|
||||
)
|
||||
|
||||
return result.id, [
|
||||
NodeExecutionResult.from_db(execution, result.userId)
|
||||
for execution in result.AgentNodeExecutions or []
|
||||
]
|
||||
return GraphExecutionWithNodes.from_db(result)
|
||||
|
||||
|
||||
async def upsert_execution_input(
|
||||
@@ -322,17 +399,20 @@ async def upsert_execution_input(
|
||||
node_exec_id: [Optional] The id of the AgentNodeExecution that has no `input_name` as input. If not provided, it will find the eligible incomplete AgentNodeExecution or create a new one.
|
||||
|
||||
Returns:
|
||||
* The id of the created or existing AgentNodeExecution.
|
||||
* Dict of node input data, key is the input name, value is the input data.
|
||||
str: The id of the created or existing AgentNodeExecution.
|
||||
dict[str, Any]: Node input data; key is the input name, value is the input data.
|
||||
"""
|
||||
existing_exec_query_filter: AgentNodeExecutionWhereInput = {
|
||||
"agentNodeId": node_id,
|
||||
"agentGraphExecutionId": graph_exec_id,
|
||||
"executionStatus": ExecutionStatus.INCOMPLETE,
|
||||
"Input": {"every": {"name": {"not": input_name}}},
|
||||
}
|
||||
if node_exec_id:
|
||||
existing_exec_query_filter["id"] = node_exec_id
|
||||
|
||||
existing_execution = await AgentNodeExecution.prisma().find_first(
|
||||
where={ # type: ignore
|
||||
**({"id": node_exec_id} if node_exec_id else {}),
|
||||
"agentNodeId": node_id,
|
||||
"agentGraphExecutionId": graph_exec_id,
|
||||
"executionStatus": ExecutionStatus.INCOMPLETE,
|
||||
"Input": {"every": {"name": {"not": input_name}}},
|
||||
},
|
||||
where=existing_exec_query_filter,
|
||||
order={"addedTime": "asc"},
|
||||
include={"Input": True},
|
||||
)
|
||||
@@ -340,11 +420,11 @@ async def upsert_execution_input(
|
||||
|
||||
if existing_execution:
|
||||
await AgentNodeExecutionInputOutput.prisma().create(
|
||||
data={
|
||||
"name": input_name,
|
||||
"data": json_input_data,
|
||||
"referencedByInputExecId": existing_execution.id,
|
||||
}
|
||||
data=AgentNodeExecutionInputOutputCreateInput(
|
||||
name=input_name,
|
||||
data=json_input_data,
|
||||
referencedByInputExecId=existing_execution.id,
|
||||
)
|
||||
)
|
||||
return existing_execution.id, {
|
||||
**{
|
||||
@@ -356,12 +436,12 @@ async def upsert_execution_input(
|
||||
|
||||
elif not node_exec_id:
|
||||
result = await AgentNodeExecution.prisma().create(
|
||||
data={
|
||||
"agentNodeId": node_id,
|
||||
"agentGraphExecutionId": graph_exec_id,
|
||||
"executionStatus": ExecutionStatus.INCOMPLETE,
|
||||
"Input": {"create": {"name": input_name, "data": json_input_data}},
|
||||
}
|
||||
data=AgentNodeExecutionCreateInput(
|
||||
agentNodeId=node_id,
|
||||
agentGraphExecutionId=graph_exec_id,
|
||||
executionStatus=ExecutionStatus.INCOMPLETE,
|
||||
Input={"create": {"name": input_name, "data": json_input_data}},
|
||||
)
|
||||
)
|
||||
return result.id, {input_name: input_data}
|
||||
|
||||
@@ -380,33 +460,34 @@ async def upsert_execution_output(
|
||||
Insert AgentNodeExecutionInputOutput record for as one of AgentNodeExecution.Output.
|
||||
"""
|
||||
await AgentNodeExecutionInputOutput.prisma().create(
|
||||
data={
|
||||
"name": output_name,
|
||||
"data": Json(output_data),
|
||||
"referencedByOutputExecId": node_exec_id,
|
||||
}
|
||||
data=AgentNodeExecutionInputOutputCreateInput(
|
||||
name=output_name,
|
||||
data=Json(output_data),
|
||||
referencedByOutputExecId=node_exec_id,
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
async def update_graph_execution_start_time(graph_exec_id: str) -> GraphExecutionMeta:
|
||||
async def update_graph_execution_start_time(graph_exec_id: str) -> GraphExecution:
|
||||
res = await AgentGraphExecution.prisma().update(
|
||||
where={"id": graph_exec_id},
|
||||
data={
|
||||
"executionStatus": ExecutionStatus.RUNNING,
|
||||
"startedAt": datetime.now(tz=timezone.utc),
|
||||
},
|
||||
include=GRAPH_EXECUTION_INCLUDE,
|
||||
)
|
||||
if not res:
|
||||
raise ValueError(f"Graph execution #{graph_exec_id} not found")
|
||||
|
||||
return GraphExecutionMeta.from_db(res)
|
||||
return GraphExecution.from_db(res)
|
||||
|
||||
|
||||
async def update_graph_execution_stats(
|
||||
graph_exec_id: str,
|
||||
status: ExecutionStatus,
|
||||
stats: GraphExecutionStats | None = None,
|
||||
) -> GraphExecutionMeta | None:
|
||||
) -> GraphExecution | None:
|
||||
data = stats.model_dump() if stats else {}
|
||||
if isinstance(data.get("error"), Exception):
|
||||
data["error"] = str(data["error"])
|
||||
@@ -422,9 +503,10 @@ async def update_graph_execution_stats(
|
||||
"executionStatus": status,
|
||||
"stats": Json(data),
|
||||
},
|
||||
include=GRAPH_EXECUTION_INCLUDE,
|
||||
)
|
||||
|
||||
return GraphExecutionMeta.from_db(res) if res else None
|
||||
return GraphExecution.from_db(res) if res else None
|
||||
|
||||
|
||||
async def update_node_execution_stats(node_exec_id: str, stats: NodeExecutionStats):
|
||||
@@ -774,7 +856,7 @@ class ExecutionEventType(str, Enum):
|
||||
NODE_EXEC_UPDATE = "node_execution_update"
|
||||
|
||||
|
||||
class GraphExecutionEvent(GraphExecutionMeta):
|
||||
class GraphExecutionEvent(GraphExecution):
|
||||
event_type: Literal[ExecutionEventType.GRAPH_EXEC_UPDATE] = (
|
||||
ExecutionEventType.GRAPH_EXEC_UPDATE
|
||||
)
|
||||
@@ -798,8 +880,8 @@ class RedisExecutionEventBus(RedisEventBus[ExecutionEvent]):
|
||||
def event_bus_name(self) -> str:
|
||||
return config.execution_event_bus_name
|
||||
|
||||
def publish(self, res: GraphExecutionMeta | NodeExecutionResult):
|
||||
if isinstance(res, GraphExecutionMeta):
|
||||
def publish(self, res: GraphExecution | NodeExecutionResult):
|
||||
if isinstance(res, GraphExecution):
|
||||
self.publish_graph_exec_update(res)
|
||||
else:
|
||||
self.publish_node_exec_update(res)
|
||||
@@ -808,7 +890,7 @@ class RedisExecutionEventBus(RedisEventBus[ExecutionEvent]):
|
||||
event = NodeExecutionEvent.model_validate(res.model_dump())
|
||||
self.publish_event(event, f"{res.user_id}/{res.graph_id}/{res.graph_exec_id}")
|
||||
|
||||
def publish_graph_exec_update(self, res: GraphExecutionMeta):
|
||||
def publish_graph_exec_update(self, res: GraphExecution):
|
||||
event = GraphExecutionEvent.model_validate(res.model_dump())
|
||||
self.publish_event(event, f"{res.user_id}/{res.graph_id}/{res.id}")
|
||||
|
||||
|
||||
@@ -7,7 +7,12 @@ import prisma
|
||||
from prisma import Json
|
||||
from prisma.enums import SubmissionStatus
|
||||
from prisma.models import AgentGraph, AgentNode, AgentNodeLink, StoreListingVersion
|
||||
from prisma.types import AgentGraphWhereInput
|
||||
from prisma.types import (
|
||||
AgentGraphCreateInput,
|
||||
AgentGraphWhereInput,
|
||||
AgentNodeCreateInput,
|
||||
AgentNodeLinkCreateInput,
|
||||
)
|
||||
from pydantic.fields import computed_field
|
||||
|
||||
from backend.blocks.agent import AgentExecutorBlock
|
||||
@@ -53,22 +58,23 @@ class Node(BaseDbModel):
|
||||
input_links: list[Link] = []
|
||||
output_links: list[Link] = []
|
||||
|
||||
webhook_id: Optional[str] = None
|
||||
@property
|
||||
def block(self) -> Block[BlockSchema, BlockSchema]:
|
||||
block = get_block(self.block_id)
|
||||
if not block:
|
||||
raise ValueError(
|
||||
f"Block #{self.block_id} does not exist -> Node #{self.id} is invalid"
|
||||
)
|
||||
return block
|
||||
|
||||
|
||||
class NodeModel(Node):
|
||||
graph_id: str
|
||||
graph_version: int
|
||||
|
||||
webhook_id: Optional[str] = None
|
||||
webhook: Optional[Webhook] = None
|
||||
|
||||
@property
|
||||
def block(self) -> Block[BlockSchema, BlockSchema]:
|
||||
block = get_block(self.block_id)
|
||||
if not block:
|
||||
raise ValueError(f"Block #{self.block_id} does not exist")
|
||||
return block
|
||||
|
||||
@staticmethod
|
||||
def from_db(node: AgentNode, for_export: bool = False) -> "NodeModel":
|
||||
obj = NodeModel(
|
||||
@@ -88,8 +94,7 @@ class NodeModel(Node):
|
||||
return obj
|
||||
|
||||
def is_triggered_by_event_type(self, event_type: str) -> bool:
|
||||
if not (block := get_block(self.block_id)):
|
||||
raise ValueError(f"Block #{self.block_id} not found for node #{self.id}")
|
||||
block = self.block
|
||||
if not block.webhook_config:
|
||||
raise TypeError("This method can't be used on non-webhook blocks")
|
||||
if not block.webhook_config.event_filter_input:
|
||||
@@ -165,46 +170,46 @@ class BaseGraph(BaseDbModel):
|
||||
@property
|
||||
def input_schema(self) -> dict[str, Any]:
|
||||
return self._generate_schema(
|
||||
AgentInputBlock.Input,
|
||||
[
|
||||
node.input_default
|
||||
*(
|
||||
(block.input_schema, node.input_default)
|
||||
for node in self.nodes
|
||||
if (b := get_block(node.block_id))
|
||||
and b.block_type == BlockType.INPUT
|
||||
and "name" in node.input_default
|
||||
],
|
||||
if (block := node.block).block_type == BlockType.INPUT
|
||||
and issubclass(block.input_schema, AgentInputBlock.Input)
|
||||
)
|
||||
)
|
||||
|
||||
@computed_field
|
||||
@property
|
||||
def output_schema(self) -> dict[str, Any]:
|
||||
return self._generate_schema(
|
||||
AgentOutputBlock.Input,
|
||||
[
|
||||
node.input_default
|
||||
*(
|
||||
(block.input_schema, node.input_default)
|
||||
for node in self.nodes
|
||||
if (b := get_block(node.block_id))
|
||||
and b.block_type == BlockType.OUTPUT
|
||||
and "name" in node.input_default
|
||||
],
|
||||
if (block := node.block).block_type == BlockType.OUTPUT
|
||||
and issubclass(block.input_schema, AgentOutputBlock.Input)
|
||||
)
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def _generate_schema(
|
||||
type_class: Type[AgentInputBlock.Input] | Type[AgentOutputBlock.Input],
|
||||
data: list[dict],
|
||||
*props: tuple[Type[AgentInputBlock.Input] | Type[AgentOutputBlock.Input], dict],
|
||||
) -> dict[str, Any]:
|
||||
props = []
|
||||
for p in data:
|
||||
schema = []
|
||||
for type_class, input_default in props:
|
||||
try:
|
||||
props.append(type_class(**p))
|
||||
schema.append(type_class(**input_default))
|
||||
except Exception as e:
|
||||
logger.warning(f"Invalid {type_class}: {p}, {e}")
|
||||
logger.warning(f"Invalid {type_class}: {input_default}, {e}")
|
||||
|
||||
return {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
p.name: {
|
||||
**{
|
||||
k: v
|
||||
for k, v in p.generate_schema().items()
|
||||
if k not in ["description", "default"]
|
||||
},
|
||||
"secret": p.secret,
|
||||
# Default value has to be set for advanced fields.
|
||||
"advanced": p.advanced and p.value is not None,
|
||||
@@ -212,9 +217,9 @@ class BaseGraph(BaseDbModel):
|
||||
**({"description": p.description} if p.description else {}),
|
||||
**({"default": p.value} if p.value is not None else {}),
|
||||
}
|
||||
for p in props
|
||||
for p in schema
|
||||
},
|
||||
"required": [p.name for p in props if p.value is None],
|
||||
"required": [p.name for p in schema if p.value is None],
|
||||
}
|
||||
|
||||
|
||||
@@ -226,13 +231,16 @@ class GraphModel(Graph):
|
||||
user_id: str
|
||||
nodes: list[NodeModel] = [] # type: ignore
|
||||
|
||||
@computed_field
|
||||
@property
|
||||
def starting_nodes(self) -> list[Node]:
|
||||
def has_webhook_trigger(self) -> bool:
|
||||
return self.webhook_input_node is not None
|
||||
|
||||
@property
|
||||
def starting_nodes(self) -> list[NodeModel]:
|
||||
outbound_nodes = {link.sink_id for link in self.links}
|
||||
input_nodes = {
|
||||
v.id
|
||||
for v in self.nodes
|
||||
if (b := get_block(v.block_id)) and b.block_type == BlockType.INPUT
|
||||
node.id for node in self.nodes if node.block.block_type == BlockType.INPUT
|
||||
}
|
||||
return [
|
||||
node
|
||||
@@ -240,6 +248,18 @@ class GraphModel(Graph):
|
||||
if node.id not in outbound_nodes or node.id in input_nodes
|
||||
]
|
||||
|
||||
@property
|
||||
def webhook_input_node(self) -> NodeModel | None:
|
||||
return next(
|
||||
(
|
||||
node
|
||||
for node in self.nodes
|
||||
if node.block.block_type
|
||||
in (BlockType.WEBHOOK, BlockType.WEBHOOK_MANUAL)
|
||||
),
|
||||
None,
|
||||
)
|
||||
|
||||
def reassign_ids(self, user_id: str, reassign_graph_id: bool = False):
|
||||
"""
|
||||
Reassigns all IDs in the graph to new UUIDs.
|
||||
@@ -389,9 +409,7 @@ class GraphModel(Graph):
|
||||
node_map = {v.id: v for v in graph.nodes}
|
||||
|
||||
def is_static_output_block(nid: str) -> bool:
|
||||
bid = node_map[nid].block_id
|
||||
b = get_block(bid)
|
||||
return b.static_output if b else False
|
||||
return node_map[nid].block.static_output
|
||||
|
||||
# Links: links are connected and the connected pin data type are compatible.
|
||||
for link in graph.links:
|
||||
@@ -538,7 +556,6 @@ async def get_graph_metadata(graph_id: str, version: int | None = None) -> Graph
|
||||
|
||||
graph = await AgentGraph.prisma().find_first(
|
||||
where=where_clause,
|
||||
include=AGENT_GRAPH_INCLUDE,
|
||||
order={"version": "desc"},
|
||||
)
|
||||
|
||||
@@ -725,29 +742,28 @@ async def __create_graph(tx, graph: Graph, user_id: str):
|
||||
|
||||
await AgentGraph.prisma(tx).create_many(
|
||||
data=[
|
||||
{
|
||||
"id": graph.id,
|
||||
"version": graph.version,
|
||||
"name": graph.name,
|
||||
"description": graph.description,
|
||||
"isActive": graph.is_active,
|
||||
"userId": user_id,
|
||||
}
|
||||
AgentGraphCreateInput(
|
||||
id=graph.id,
|
||||
version=graph.version,
|
||||
name=graph.name,
|
||||
description=graph.description,
|
||||
isActive=graph.is_active,
|
||||
userId=user_id,
|
||||
)
|
||||
for graph in graphs
|
||||
]
|
||||
)
|
||||
|
||||
await AgentNode.prisma(tx).create_many(
|
||||
data=[
|
||||
{
|
||||
"id": node.id,
|
||||
"agentGraphId": graph.id,
|
||||
"agentGraphVersion": graph.version,
|
||||
"agentBlockId": node.block_id,
|
||||
"constantInput": Json(node.input_default),
|
||||
"metadata": Json(node.metadata),
|
||||
"webhookId": node.webhook_id,
|
||||
}
|
||||
AgentNodeCreateInput(
|
||||
id=node.id,
|
||||
agentGraphId=graph.id,
|
||||
agentGraphVersion=graph.version,
|
||||
agentBlockId=node.block_id,
|
||||
constantInput=Json(node.input_default),
|
||||
metadata=Json(node.metadata),
|
||||
)
|
||||
for graph in graphs
|
||||
for node in graph.nodes
|
||||
]
|
||||
@@ -755,14 +771,14 @@ async def __create_graph(tx, graph: Graph, user_id: str):
|
||||
|
||||
await AgentNodeLink.prisma(tx).create_many(
|
||||
data=[
|
||||
{
|
||||
"id": str(uuid.uuid4()),
|
||||
"sourceName": link.source_name,
|
||||
"sinkName": link.sink_name,
|
||||
"agentNodeSourceId": link.source_id,
|
||||
"agentNodeSinkId": link.sink_id,
|
||||
"isStatic": link.is_static,
|
||||
}
|
||||
AgentNodeLinkCreateInput(
|
||||
id=str(uuid.uuid4()),
|
||||
sourceName=link.source_name,
|
||||
sinkName=link.sink_name,
|
||||
agentNodeSourceId=link.source_id,
|
||||
agentNodeSinkId=link.sink_id,
|
||||
isStatic=link.is_static,
|
||||
)
|
||||
for graph in graphs
|
||||
for link in graph.links
|
||||
]
|
||||
|
||||
@@ -1,4 +1,7 @@
|
||||
import prisma
|
||||
import prisma.enums
|
||||
import prisma.types
|
||||
|
||||
from backend.blocks.io import IO_BLOCK_IDs
|
||||
|
||||
AGENT_NODE_INCLUDE: prisma.types.AgentNodeInclude = {
|
||||
"Input": True,
|
||||
@@ -20,7 +23,7 @@ EXECUTION_RESULT_INCLUDE: prisma.types.AgentNodeExecutionInclude = {
|
||||
|
||||
MAX_NODE_EXECUTIONS_FETCH = 1000
|
||||
|
||||
GRAPH_EXECUTION_INCLUDE: prisma.types.AgentGraphExecutionInclude = {
|
||||
GRAPH_EXECUTION_INCLUDE_WITH_NODES: prisma.types.AgentGraphExecutionInclude = {
|
||||
"AgentNodeExecutions": {
|
||||
"include": {
|
||||
"Input": True,
|
||||
@@ -37,6 +40,20 @@ GRAPH_EXECUTION_INCLUDE: prisma.types.AgentGraphExecutionInclude = {
|
||||
}
|
||||
}
|
||||
|
||||
GRAPH_EXECUTION_INCLUDE: prisma.types.AgentGraphExecutionInclude = {
|
||||
"AgentNodeExecutions": {
|
||||
**GRAPH_EXECUTION_INCLUDE_WITH_NODES["AgentNodeExecutions"], # type: ignore
|
||||
"where": {
|
||||
"AgentNode": {
|
||||
"AgentBlock": {"id": {"in": IO_BLOCK_IDs}}, # type: ignore
|
||||
},
|
||||
"NOT": {
|
||||
"executionStatus": prisma.enums.AgentExecutionStatus.INCOMPLETE,
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
INTEGRATION_WEBHOOK_INCLUDE: prisma.types.IntegrationWebhookInclude = {
|
||||
"AgentNodes": {"include": AGENT_NODE_INCLUDE} # type: ignore
|
||||
|
||||
@@ -3,6 +3,7 @@ from typing import TYPE_CHECKING, AsyncGenerator, Optional
|
||||
|
||||
from prisma import Json
|
||||
from prisma.models import IntegrationWebhook
|
||||
from prisma.types import IntegrationWebhookCreateInput
|
||||
from pydantic import Field, computed_field
|
||||
|
||||
from backend.data.includes import INTEGRATION_WEBHOOK_INCLUDE
|
||||
@@ -66,18 +67,18 @@ class Webhook(BaseDbModel):
|
||||
|
||||
async def create_webhook(webhook: Webhook) -> Webhook:
|
||||
created_webhook = await IntegrationWebhook.prisma().create(
|
||||
data={
|
||||
"id": webhook.id,
|
||||
"userId": webhook.user_id,
|
||||
"provider": webhook.provider.value,
|
||||
"credentialsId": webhook.credentials_id,
|
||||
"webhookType": webhook.webhook_type,
|
||||
"resource": webhook.resource,
|
||||
"events": webhook.events,
|
||||
"config": Json(webhook.config),
|
||||
"secret": webhook.secret,
|
||||
"providerWebhookId": webhook.provider_webhook_id,
|
||||
}
|
||||
data=IntegrationWebhookCreateInput(
|
||||
id=webhook.id,
|
||||
userId=webhook.user_id,
|
||||
provider=webhook.provider.value,
|
||||
credentialsId=webhook.credentials_id,
|
||||
webhookType=webhook.webhook_type,
|
||||
resource=webhook.resource,
|
||||
events=webhook.events,
|
||||
config=Json(webhook.config),
|
||||
secret=webhook.secret,
|
||||
providerWebhookId=webhook.provider_webhook_id,
|
||||
)
|
||||
)
|
||||
return Webhook.from_db(created_webhook)
|
||||
|
||||
|
||||
@@ -141,11 +141,13 @@ def SchemaField(
|
||||
secret: bool = False,
|
||||
exclude: bool = False,
|
||||
hidden: Optional[bool] = None,
|
||||
depends_on: list[str] | None = None,
|
||||
image_upload: Optional[bool] = None,
|
||||
image_output: Optional[bool] = None,
|
||||
json_schema_extra: dict[str, Any] | None = None,
|
||||
**kwargs,
|
||||
depends_on: Optional[list[str]] = None,
|
||||
ge: Optional[float] = None,
|
||||
le: Optional[float] = None,
|
||||
min_length: Optional[int] = None,
|
||||
max_length: Optional[int] = None,
|
||||
discriminator: Optional[str] = None,
|
||||
json_schema_extra: Optional[dict[str, Any]] = None,
|
||||
) -> T:
|
||||
if default is PydanticUndefined and default_factory is None:
|
||||
advanced = False
|
||||
@@ -160,8 +162,6 @@ def SchemaField(
|
||||
"advanced": advanced,
|
||||
"hidden": hidden,
|
||||
"depends_on": depends_on,
|
||||
"image_upload": image_upload,
|
||||
"image_output": image_output,
|
||||
**(json_schema_extra or {}),
|
||||
}.items()
|
||||
if v is not None
|
||||
@@ -174,8 +174,12 @@ def SchemaField(
|
||||
title=title,
|
||||
description=description,
|
||||
exclude=exclude,
|
||||
ge=ge,
|
||||
le=le,
|
||||
min_length=min_length,
|
||||
max_length=max_length,
|
||||
discriminator=discriminator,
|
||||
json_schema_extra=json_schema_extra,
|
||||
**kwargs,
|
||||
) # type: ignore
|
||||
|
||||
|
||||
@@ -409,9 +413,10 @@ class RefundRequest(BaseModel):
|
||||
class NodeExecutionStats(BaseModel):
|
||||
"""Execution statistics for a node execution."""
|
||||
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
extra = "allow"
|
||||
model_config = ConfigDict(
|
||||
extra="allow",
|
||||
arbitrary_types_allowed=True,
|
||||
)
|
||||
|
||||
error: Optional[Exception | str] = None
|
||||
walltime: float = 0
|
||||
@@ -427,9 +432,10 @@ class NodeExecutionStats(BaseModel):
|
||||
class GraphExecutionStats(BaseModel):
|
||||
"""Execution statistics for a graph execution."""
|
||||
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
extra = "allow"
|
||||
model_config = ConfigDict(
|
||||
extra="allow",
|
||||
arbitrary_types_allowed=True,
|
||||
)
|
||||
|
||||
error: Optional[Exception | str] = None
|
||||
walltime: float = Field(
|
||||
|
||||
@@ -6,10 +6,14 @@ from typing import Annotated, Any, Generic, Optional, TypeVar, Union
|
||||
from prisma import Json
|
||||
from prisma.enums import NotificationType
|
||||
from prisma.models import NotificationEvent, UserNotificationBatch
|
||||
from prisma.types import UserNotificationBatchWhereInput
|
||||
from prisma.types import (
|
||||
NotificationEventCreateInput,
|
||||
UserNotificationBatchCreateInput,
|
||||
UserNotificationBatchWhereInput,
|
||||
)
|
||||
|
||||
# from backend.notifications.models import NotificationEvent
|
||||
from pydantic import BaseModel, EmailStr, Field, field_validator
|
||||
from pydantic import BaseModel, ConfigDict, EmailStr, Field, field_validator
|
||||
|
||||
from backend.server.v2.store.exceptions import DatabaseError
|
||||
|
||||
@@ -35,8 +39,7 @@ class QueueType(Enum):
|
||||
|
||||
|
||||
class BaseNotificationData(BaseModel):
|
||||
class Config:
|
||||
extra = "allow"
|
||||
model_config = ConfigDict(extra="allow")
|
||||
|
||||
|
||||
class AgentRunData(BaseNotificationData):
|
||||
@@ -398,6 +401,8 @@ async def create_or_add_to_user_notification_batch(
|
||||
logger.info(
|
||||
f"Creating or adding to notification batch for {user_id} with type {notification_type} and data {notification_data}"
|
||||
)
|
||||
if not notification_data.data:
|
||||
raise ValueError("Notification data must be provided")
|
||||
|
||||
# Serialize the data
|
||||
json_data: Json = Json(notification_data.data.model_dump())
|
||||
@@ -416,30 +421,30 @@ async def create_or_add_to_user_notification_batch(
|
||||
if not existing_batch:
|
||||
async with transaction() as tx:
|
||||
notification_event = await tx.notificationevent.create(
|
||||
data={
|
||||
"type": notification_type,
|
||||
"data": json_data,
|
||||
}
|
||||
data=NotificationEventCreateInput(
|
||||
type=notification_type,
|
||||
data=json_data,
|
||||
)
|
||||
)
|
||||
|
||||
# Create new batch
|
||||
resp = await tx.usernotificationbatch.create(
|
||||
data={
|
||||
"userId": user_id,
|
||||
"type": notification_type,
|
||||
"Notifications": {"connect": [{"id": notification_event.id}]},
|
||||
},
|
||||
data=UserNotificationBatchCreateInput(
|
||||
userId=user_id,
|
||||
type=notification_type,
|
||||
Notifications={"connect": [{"id": notification_event.id}]},
|
||||
),
|
||||
include={"Notifications": True},
|
||||
)
|
||||
return UserNotificationBatchDTO.from_db(resp)
|
||||
else:
|
||||
async with transaction() as tx:
|
||||
notification_event = await tx.notificationevent.create(
|
||||
data={
|
||||
"type": notification_type,
|
||||
"data": json_data,
|
||||
"UserNotificationBatch": {"connect": {"id": existing_batch.id}},
|
||||
}
|
||||
data=NotificationEventCreateInput(
|
||||
type=notification_type,
|
||||
data=json_data,
|
||||
UserNotificationBatch={"connect": {"id": existing_batch.id}},
|
||||
)
|
||||
)
|
||||
# Add to existing batch
|
||||
resp = await tx.usernotificationbatch.update(
|
||||
|
||||
@@ -11,7 +11,7 @@ from fastapi import HTTPException
|
||||
from prisma import Json
|
||||
from prisma.enums import NotificationType
|
||||
from prisma.models import User
|
||||
from prisma.types import UserUpdateInput
|
||||
from prisma.types import UserCreateInput, UserUpdateInput
|
||||
|
||||
from backend.data.db import prisma
|
||||
from backend.data.model import UserIntegrations, UserMetadata, UserMetadataRaw
|
||||
@@ -36,11 +36,11 @@ async def get_or_create_user(user_data: dict) -> User:
|
||||
user = await prisma.user.find_unique(where={"id": user_id})
|
||||
if not user:
|
||||
user = await prisma.user.create(
|
||||
data={
|
||||
"id": user_id,
|
||||
"email": user_email,
|
||||
"name": user_data.get("user_metadata", {}).get("name"),
|
||||
}
|
||||
data=UserCreateInput(
|
||||
id=user_id,
|
||||
email=user_email,
|
||||
name=user_data.get("user_metadata", {}).get("name"),
|
||||
)
|
||||
)
|
||||
|
||||
return User.model_validate(user)
|
||||
@@ -84,11 +84,11 @@ async def create_default_user() -> Optional[User]:
|
||||
user = await prisma.user.find_unique(where={"id": DEFAULT_USER_ID})
|
||||
if not user:
|
||||
user = await prisma.user.create(
|
||||
data={
|
||||
"id": DEFAULT_USER_ID,
|
||||
"email": "default@example.com",
|
||||
"name": "Default User",
|
||||
}
|
||||
data=UserCreateInput(
|
||||
id=DEFAULT_USER_ID,
|
||||
email="default@example.com",
|
||||
name="Default User",
|
||||
)
|
||||
)
|
||||
return User.model_validate(user)
|
||||
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
from backend.data.credit import UsageTransactionMetadata, get_user_credit_model
|
||||
from backend.data.execution import (
|
||||
GraphExecutionMeta,
|
||||
GraphExecution,
|
||||
NodeExecutionResult,
|
||||
RedisExecutionEventBus,
|
||||
create_graph_execution,
|
||||
get_graph_execution,
|
||||
get_incomplete_node_executions,
|
||||
get_latest_node_execution,
|
||||
get_node_execution_results,
|
||||
@@ -64,11 +65,12 @@ class DatabaseManager(AppService):
|
||||
|
||||
@expose
|
||||
def send_execution_update(
|
||||
self, execution_result: GraphExecutionMeta | NodeExecutionResult
|
||||
self, execution_result: GraphExecution | NodeExecutionResult
|
||||
):
|
||||
self.execution_event_bus.publish(execution_result)
|
||||
|
||||
# Executions
|
||||
get_graph_execution = exposed_run_and_wait(get_graph_execution)
|
||||
create_graph_execution = exposed_run_and_wait(create_graph_execution)
|
||||
get_node_execution_results = exposed_run_and_wait(get_node_execution_results)
|
||||
get_incomplete_node_executions = exposed_run_and_wait(
|
||||
|
||||
@@ -149,7 +149,7 @@ def execute_node(
|
||||
node_exec_id = data.node_exec_id
|
||||
node_id = data.node_id
|
||||
|
||||
def update_execution(status: ExecutionStatus) -> NodeExecutionResult:
|
||||
def update_execution_status(status: ExecutionStatus) -> NodeExecutionResult:
|
||||
"""Sets status and fetches+broadcasts the latest state of the node execution"""
|
||||
exec_update = db_client.update_node_execution_status(node_exec_id, status)
|
||||
db_client.send_execution_update(exec_update)
|
||||
@@ -157,10 +157,14 @@ def execute_node(
|
||||
|
||||
node = db_client.get_node(node_id)
|
||||
|
||||
node_block = get_block(node.block_id)
|
||||
if not node_block:
|
||||
logger.error(f"Block {node.block_id} not found.")
|
||||
return
|
||||
node_block = node.block
|
||||
|
||||
def push_output(output_name: str, output_data: Any) -> None:
|
||||
db_client.upsert_execution_output(
|
||||
node_exec_id=node_exec_id,
|
||||
output_name=output_name,
|
||||
output_data=output_data,
|
||||
)
|
||||
|
||||
log_metadata = LogMetadata(
|
||||
user_id=user_id,
|
||||
@@ -175,8 +179,8 @@ def execute_node(
|
||||
input_data, error = validate_exec(node, data.data, resolve_input=False)
|
||||
if input_data is None:
|
||||
log_metadata.error(f"Skip execution, input validation error: {error}")
|
||||
db_client.upsert_execution_output(node_exec_id, "error", error)
|
||||
update_execution(ExecutionStatus.FAILED)
|
||||
push_output("error", error)
|
||||
update_execution_status(ExecutionStatus.FAILED)
|
||||
return
|
||||
|
||||
# Re-shape the input data for agent block.
|
||||
@@ -189,7 +193,7 @@ def execute_node(
|
||||
input_data_str = json.dumps(input_data)
|
||||
input_size = len(input_data_str)
|
||||
log_metadata.info("Executed node with input", input=input_data_str)
|
||||
update_execution(ExecutionStatus.RUNNING)
|
||||
update_execution_status(ExecutionStatus.RUNNING)
|
||||
|
||||
# Inject extra execution arguments for the blocks via kwargs
|
||||
extra_exec_kwargs: dict = {
|
||||
@@ -220,7 +224,7 @@ def execute_node(
|
||||
output_data = json.convert_pydantic_to_json(output_data)
|
||||
output_size += len(json.dumps(output_data))
|
||||
log_metadata.info("Node produced output", **{output_name: output_data})
|
||||
db_client.upsert_execution_output(node_exec_id, output_name, output_data)
|
||||
push_output(output_name, output_data)
|
||||
outputs[output_name] = output_data
|
||||
for execution in _enqueue_next_nodes(
|
||||
db_client=db_client,
|
||||
@@ -233,13 +237,12 @@ def execute_node(
|
||||
):
|
||||
yield execution
|
||||
|
||||
# Update execution status and spend credits
|
||||
update_execution(ExecutionStatus.COMPLETED)
|
||||
update_execution_status(ExecutionStatus.COMPLETED)
|
||||
|
||||
except Exception as e:
|
||||
error_msg = str(e)
|
||||
db_client.upsert_execution_output(node_exec_id, "error", error_msg)
|
||||
update_execution(ExecutionStatus.FAILED)
|
||||
push_output("error", error_msg)
|
||||
update_execution_status(ExecutionStatus.FAILED)
|
||||
|
||||
for execution in _enqueue_next_nodes(
|
||||
db_client=db_client,
|
||||
@@ -627,7 +630,10 @@ class Executor:
|
||||
node_eid="*",
|
||||
block_name="-",
|
||||
)
|
||||
cls.db_client.update_graph_execution_start_time(graph_exec.graph_exec_id)
|
||||
exec_meta = cls.db_client.update_graph_execution_start_time(
|
||||
graph_exec.graph_exec_id
|
||||
)
|
||||
cls.db_client.send_execution_update(exec_meta)
|
||||
timing_info, (exec_stats, status, error) = cls._on_graph_execution(
|
||||
graph_exec, cancel, log_metadata
|
||||
)
|
||||
@@ -635,12 +641,12 @@ class Executor:
|
||||
exec_stats.cputime = timing_info.cpu_time
|
||||
exec_stats.error = str(error)
|
||||
|
||||
if result := cls.db_client.update_graph_execution_stats(
|
||||
if graph_exec_result := cls.db_client.update_graph_execution_stats(
|
||||
graph_exec_id=graph_exec.graph_exec_id,
|
||||
status=status,
|
||||
stats=exec_stats,
|
||||
):
|
||||
cls.db_client.send_execution_update(result)
|
||||
cls.db_client.send_execution_update(graph_exec_result)
|
||||
|
||||
cls._handle_agent_run_notif(graph_exec, exec_stats)
|
||||
|
||||
@@ -706,15 +712,19 @@ class Executor:
|
||||
Exception | None: The error that occurred during the execution, if any.
|
||||
"""
|
||||
log_metadata.info(f"Start graph execution {graph_exec.graph_exec_id}")
|
||||
exec_stats = GraphExecutionStats()
|
||||
execution_stats = GraphExecutionStats()
|
||||
execution_status = ExecutionStatus.RUNNING
|
||||
error = None
|
||||
finished = False
|
||||
|
||||
def cancel_handler():
|
||||
nonlocal execution_status
|
||||
|
||||
while not cancel.is_set():
|
||||
cancel.wait(1)
|
||||
if finished:
|
||||
return
|
||||
execution_status = ExecutionStatus.TERMINATED
|
||||
cls.executor.terminate()
|
||||
log_metadata.info(f"Terminated graph execution {graph_exec.graph_exec_id}")
|
||||
cls._init_node_executor_pool()
|
||||
@@ -737,18 +747,34 @@ class Executor:
|
||||
if not isinstance(result, NodeExecutionStats):
|
||||
return
|
||||
|
||||
nonlocal exec_stats
|
||||
exec_stats.node_count += 1
|
||||
exec_stats.nodes_cputime += result.cputime
|
||||
exec_stats.nodes_walltime += result.walltime
|
||||
nonlocal execution_stats
|
||||
execution_stats.node_count += 1
|
||||
execution_stats.nodes_cputime += result.cputime
|
||||
execution_stats.nodes_walltime += result.walltime
|
||||
if (err := result.error) and isinstance(err, Exception):
|
||||
exec_stats.node_error_count += 1
|
||||
execution_stats.node_error_count += 1
|
||||
|
||||
if _graph_exec := cls.db_client.update_graph_execution_stats(
|
||||
graph_exec_id=exec_data.graph_exec_id,
|
||||
status=execution_status,
|
||||
stats=execution_stats,
|
||||
):
|
||||
cls.db_client.send_execution_update(_graph_exec)
|
||||
else:
|
||||
logger.error(
|
||||
"Callback for "
|
||||
f"finished node execution #{exec_data.node_exec_id} "
|
||||
"could not update execution stats "
|
||||
f"for graph execution #{exec_data.graph_exec_id}; "
|
||||
f"triggered while graph exec status = {execution_status}"
|
||||
)
|
||||
|
||||
return callback
|
||||
|
||||
while not queue.empty():
|
||||
if cancel.is_set():
|
||||
return exec_stats, ExecutionStatus.TERMINATED, error
|
||||
execution_status = ExecutionStatus.TERMINATED
|
||||
return execution_stats, execution_status, error
|
||||
|
||||
exec_data = queue.get()
|
||||
|
||||
@@ -770,21 +796,26 @@ class Executor:
|
||||
exec_cost_counter = cls._charge_usage(
|
||||
node_exec=exec_data,
|
||||
execution_count=exec_cost_counter + 1,
|
||||
execution_stats=exec_stats,
|
||||
execution_stats=execution_stats,
|
||||
)
|
||||
except InsufficientBalanceError as error:
|
||||
exec_id = exec_data.node_exec_id
|
||||
cls.db_client.upsert_execution_output(exec_id, "error", str(error))
|
||||
node_exec_id = exec_data.node_exec_id
|
||||
cls.db_client.upsert_execution_output(
|
||||
node_exec_id=node_exec_id,
|
||||
output_name="error",
|
||||
output_data=str(error),
|
||||
)
|
||||
|
||||
execution_status = ExecutionStatus.FAILED
|
||||
exec_update = cls.db_client.update_node_execution_status(
|
||||
exec_id, ExecutionStatus.FAILED
|
||||
node_exec_id, execution_status
|
||||
)
|
||||
cls.db_client.send_execution_update(exec_update)
|
||||
|
||||
cls._handle_low_balance_notif(
|
||||
graph_exec.user_id,
|
||||
graph_exec.graph_id,
|
||||
exec_stats,
|
||||
execution_stats,
|
||||
error,
|
||||
)
|
||||
raise
|
||||
@@ -802,7 +833,8 @@ class Executor:
|
||||
)
|
||||
for node_id, execution in list(running_executions.items()):
|
||||
if cancel.is_set():
|
||||
return exec_stats, ExecutionStatus.TERMINATED, error
|
||||
execution_status = ExecutionStatus.TERMINATED
|
||||
return execution_stats, execution_status, error
|
||||
|
||||
if not queue.empty():
|
||||
break # yield to parent loop to execute new queue items
|
||||
@@ -829,7 +861,7 @@ class Executor:
|
||||
cancel_thread.join()
|
||||
clean_exec_files(graph_exec.graph_exec_id)
|
||||
|
||||
return exec_stats, execution_status, error
|
||||
return execution_stats, execution_status, error
|
||||
|
||||
@classmethod
|
||||
def _handle_agent_run_notif(
|
||||
@@ -966,10 +998,10 @@ class ExecutionManager(AppService):
|
||||
nodes_input = []
|
||||
for node in graph.starting_nodes:
|
||||
input_data = {}
|
||||
block = get_block(node.block_id)
|
||||
block = node.block
|
||||
|
||||
# Invalid block & Note block should never be executed.
|
||||
if not block or block.block_type == BlockType.NOTE:
|
||||
# Note block should never be executed.
|
||||
if block.block_type == BlockType.NOTE:
|
||||
continue
|
||||
|
||||
# Extract request input data, and assign it to the input pin.
|
||||
@@ -1001,17 +1033,21 @@ class ExecutionManager(AppService):
|
||||
"No starting nodes found for the graph, make sure an AgentInput or blocks with no inbound links are present as starting nodes."
|
||||
)
|
||||
|
||||
graph_exec_id, node_execs = self.db_client.create_graph_execution(
|
||||
graph_exec = self.db_client.create_graph_execution(
|
||||
graph_id=graph_id,
|
||||
graph_version=graph.version,
|
||||
nodes_input=nodes_input,
|
||||
user_id=user_id,
|
||||
preset_id=preset_id,
|
||||
)
|
||||
self.db_client.send_execution_update(graph_exec)
|
||||
|
||||
starting_node_execs = []
|
||||
for node_exec in node_execs:
|
||||
starting_node_execs.append(
|
||||
graph_exec_entry = GraphExecutionEntry(
|
||||
user_id=user_id,
|
||||
graph_id=graph_id,
|
||||
graph_version=graph_version or 0,
|
||||
graph_exec_id=graph_exec.id,
|
||||
start_node_execs=[
|
||||
NodeExecutionEntry(
|
||||
user_id=user_id,
|
||||
graph_exec_id=node_exec.graph_exec_id,
|
||||
@@ -1021,18 +1057,12 @@ class ExecutionManager(AppService):
|
||||
block_id=node_exec.block_id,
|
||||
data=node_exec.input_data,
|
||||
)
|
||||
)
|
||||
|
||||
graph_exec = GraphExecutionEntry(
|
||||
user_id=user_id,
|
||||
graph_id=graph_id,
|
||||
graph_version=graph_version or 0,
|
||||
graph_exec_id=graph_exec_id,
|
||||
start_node_execs=starting_node_execs,
|
||||
for node_exec in graph_exec.node_executions
|
||||
],
|
||||
)
|
||||
self.queue.add(graph_exec)
|
||||
self.queue.add(graph_exec_entry)
|
||||
|
||||
return graph_exec
|
||||
return graph_exec_entry
|
||||
|
||||
@expose
|
||||
def cancel_execution(self, graph_exec_id: str) -> None:
|
||||
@@ -1079,9 +1109,7 @@ class ExecutionManager(AppService):
|
||||
"""Checks all credentials for all nodes of the graph"""
|
||||
|
||||
for node in graph.nodes:
|
||||
block = get_block(node.block_id)
|
||||
if not block:
|
||||
raise ValueError(f"Unknown block {node.block_id} for node #{node.id}")
|
||||
block = node.block
|
||||
|
||||
# Find any fields of type CredentialsMetaInput
|
||||
credentials_fields = cast(
|
||||
|
||||
@@ -10,6 +10,7 @@ from backend.data import redis
|
||||
from backend.data.model import Credentials
|
||||
from backend.integrations.credentials_store import IntegrationCredentialsStore
|
||||
from backend.integrations.oauth import HANDLERS_BY_NAME
|
||||
from backend.integrations.providers import ProviderName
|
||||
from backend.util.exceptions import MissingConfigError
|
||||
from backend.util.settings import Settings
|
||||
|
||||
@@ -153,12 +154,13 @@ class IntegrationCredentialsManager:
|
||||
self.store.locks.release_all_locks()
|
||||
|
||||
|
||||
def _get_provider_oauth_handler(provider_name: str) -> "BaseOAuthHandler":
|
||||
def _get_provider_oauth_handler(provider_name_str: str) -> "BaseOAuthHandler":
|
||||
provider_name = ProviderName(provider_name_str)
|
||||
if provider_name not in HANDLERS_BY_NAME:
|
||||
raise KeyError(f"Unknown provider '{provider_name}'")
|
||||
|
||||
client_id = getattr(settings.secrets, f"{provider_name}_client_id")
|
||||
client_secret = getattr(settings.secrets, f"{provider_name}_client_secret")
|
||||
client_id = getattr(settings.secrets, f"{provider_name.value}_client_id")
|
||||
client_secret = getattr(settings.secrets, f"{provider_name.value}_client_secret")
|
||||
if not (client_id and client_secret):
|
||||
raise MissingConfigError(
|
||||
f"Integration with provider '{provider_name}' is not configured",
|
||||
|
||||
@@ -11,6 +11,7 @@ class ProviderName(str, Enum):
|
||||
E2B = "e2b"
|
||||
EXA = "exa"
|
||||
FAL = "fal"
|
||||
GENERIC_WEBHOOK = "generic_webhook"
|
||||
GITHUB = "github"
|
||||
GOOGLE = "google"
|
||||
GOOGLE_MAPS = "google_maps"
|
||||
|
||||
@@ -13,6 +13,7 @@ def load_webhook_managers() -> dict["ProviderName", type["BaseWebhooksManager"]]
|
||||
return _WEBHOOK_MANAGERS
|
||||
|
||||
from .compass import CompassWebhookManager
|
||||
from .generic import GenericWebhooksManager
|
||||
from .github import GithubWebhooksManager
|
||||
from .slant3d import Slant3DWebhooksManager
|
||||
|
||||
@@ -23,6 +24,7 @@ def load_webhook_managers() -> dict["ProviderName", type["BaseWebhooksManager"]]
|
||||
CompassWebhookManager,
|
||||
GithubWebhooksManager,
|
||||
Slant3DWebhooksManager,
|
||||
GenericWebhooksManager,
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
@@ -0,0 +1,29 @@
|
||||
import logging
|
||||
|
||||
from fastapi import Request
|
||||
from strenum import StrEnum
|
||||
|
||||
from backend.data import integrations
|
||||
from backend.integrations.providers import ProviderName
|
||||
|
||||
from ._manual_base import ManualWebhookManagerBase
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class GenericWebhookType(StrEnum):
|
||||
PLAIN = "plain"
|
||||
|
||||
|
||||
class GenericWebhooksManager(ManualWebhookManagerBase):
|
||||
PROVIDER_NAME = ProviderName.GENERIC_WEBHOOK
|
||||
WebhookType = GenericWebhookType
|
||||
|
||||
@classmethod
|
||||
async def validate_payload(
|
||||
cls, webhook: integrations.Webhook, request: Request
|
||||
) -> tuple[dict, str]:
|
||||
payload = await request.json()
|
||||
event_type = GenericWebhookType.PLAIN
|
||||
|
||||
return payload, event_type
|
||||
@@ -1,7 +1,7 @@
|
||||
import logging
|
||||
from typing import TYPE_CHECKING, Callable, Optional, cast
|
||||
|
||||
from backend.data.block import BlockSchema, BlockWebhookConfig, get_block
|
||||
from backend.data.block import BlockSchema, BlockWebhookConfig
|
||||
from backend.data.graph import set_node_webhook
|
||||
from backend.integrations.webhooks import get_webhook_manager, supports_webhooks
|
||||
|
||||
@@ -29,12 +29,7 @@ async def on_graph_activate(
|
||||
# Compare nodes in new_graph_version with previous_graph_version
|
||||
updated_nodes = []
|
||||
for new_node in graph.nodes:
|
||||
block = get_block(new_node.block_id)
|
||||
if not block:
|
||||
raise ValueError(
|
||||
f"Node #{new_node.id} is instance of unknown block #{new_node.block_id}"
|
||||
)
|
||||
block_input_schema = cast(BlockSchema, block.input_schema)
|
||||
block_input_schema = cast(BlockSchema, new_node.block.input_schema)
|
||||
|
||||
node_credentials = None
|
||||
if (
|
||||
@@ -75,12 +70,7 @@ async def on_graph_deactivate(
|
||||
"""
|
||||
updated_nodes = []
|
||||
for node in graph.nodes:
|
||||
block = get_block(node.block_id)
|
||||
if not block:
|
||||
raise ValueError(
|
||||
f"Node #{node.id} is instance of unknown block #{node.block_id}"
|
||||
)
|
||||
block_input_schema = cast(BlockSchema, block.input_schema)
|
||||
block_input_schema = cast(BlockSchema, node.block.input_schema)
|
||||
|
||||
node_credentials = None
|
||||
if (
|
||||
@@ -113,11 +103,7 @@ async def on_node_activate(
|
||||
) -> "NodeModel":
|
||||
"""Hook to be called when the node is activated/created"""
|
||||
|
||||
block = get_block(node.block_id)
|
||||
if not block:
|
||||
raise ValueError(
|
||||
f"Node #{node.id} is instance of unknown block #{node.block_id}"
|
||||
)
|
||||
block = node.block
|
||||
|
||||
if not block.webhook_config:
|
||||
return node
|
||||
@@ -224,11 +210,7 @@ async def on_node_deactivate(
|
||||
"""Hook to be called when node is deactivated/deleted"""
|
||||
|
||||
logger.debug(f"Deactivating node #{node.id}")
|
||||
block = get_block(node.block_id)
|
||||
if not block:
|
||||
raise ValueError(
|
||||
f"Node #{node.id} is instance of unknown block #{node.block_id}"
|
||||
)
|
||||
block = node.block
|
||||
|
||||
if not block.webhook_config:
|
||||
return node
|
||||
|
||||
@@ -245,20 +245,26 @@ class NotificationManager(AppService):
|
||||
continue
|
||||
|
||||
unsub_link = generate_unsubscribe_link(batch.user_id)
|
||||
|
||||
events = [
|
||||
NotificationEventModel[
|
||||
get_notif_data_type(db_event.type)
|
||||
].model_validate(
|
||||
{
|
||||
"user_id": batch.user_id,
|
||||
"type": db_event.type,
|
||||
"data": db_event.data,
|
||||
"created_at": db_event.created_at,
|
||||
}
|
||||
)
|
||||
for db_event in batch_data.notifications
|
||||
]
|
||||
events = []
|
||||
for db_event in batch_data.notifications:
|
||||
try:
|
||||
events.append(
|
||||
NotificationEventModel[
|
||||
get_notif_data_type(db_event.type)
|
||||
].model_validate(
|
||||
{
|
||||
"user_id": batch.user_id,
|
||||
"type": db_event.type,
|
||||
"data": db_event.data,
|
||||
"created_at": db_event.created_at,
|
||||
}
|
||||
)
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(
|
||||
f"Error parsing notification event: {e=}, {db_event=}"
|
||||
)
|
||||
continue
|
||||
logger.info(f"{events=}")
|
||||
|
||||
self.email_sender.send_templated(
|
||||
@@ -668,6 +674,8 @@ class NotificationManager(AppService):
|
||||
|
||||
except QueueEmpty:
|
||||
logger.debug(f"Queue {error_queue_name} empty")
|
||||
except TimeoutError:
|
||||
logger.debug(f"Queue {error_queue_name} timed out")
|
||||
except Exception as e:
|
||||
if message:
|
||||
logger.error(
|
||||
@@ -675,8 +683,8 @@ class NotificationManager(AppService):
|
||||
)
|
||||
self.run_and_wait(message.reject(requeue=False))
|
||||
else:
|
||||
logger.error(
|
||||
f"Error in notification service loop, message unable to be rejected, and will have to be manually removed to free space in the queue: {e}"
|
||||
logger.exception(
|
||||
f"Error in notification service loop, message unable to be rejected, and will have to be manually removed to free space in the queue: {e=}"
|
||||
)
|
||||
|
||||
def run_service(self):
|
||||
|
||||
@@ -32,22 +32,30 @@ class ConnectionManager:
|
||||
async def subscribe_graph_exec(
|
||||
self, *, user_id: str, graph_exec_id: str, websocket: WebSocket
|
||||
) -> str:
|
||||
key = _graph_exec_channel_key(user_id, graph_exec_id)
|
||||
if key not in self.subscriptions:
|
||||
self.subscriptions[key] = set()
|
||||
self.subscriptions[key].add(websocket)
|
||||
return key
|
||||
return await self._subscribe(
|
||||
_graph_exec_channel_key(user_id, graph_exec_id=graph_exec_id), websocket
|
||||
)
|
||||
|
||||
async def unsubscribe(
|
||||
async def subscribe_graph_execs(
|
||||
self, *, user_id: str, graph_id: str, websocket: WebSocket
|
||||
) -> str:
|
||||
return await self._subscribe(
|
||||
_graph_execs_channel_key(user_id, graph_id=graph_id), websocket
|
||||
)
|
||||
|
||||
async def unsubscribe_graph_exec(
|
||||
self, *, user_id: str, graph_exec_id: str, websocket: WebSocket
|
||||
) -> str | None:
|
||||
key = _graph_exec_channel_key(user_id, graph_exec_id)
|
||||
if key in self.subscriptions:
|
||||
self.subscriptions[key].discard(websocket)
|
||||
if not self.subscriptions[key]:
|
||||
del self.subscriptions[key]
|
||||
return key
|
||||
return None
|
||||
return await self._unsubscribe(
|
||||
_graph_exec_channel_key(user_id, graph_exec_id=graph_exec_id), websocket
|
||||
)
|
||||
|
||||
async def unsubscribe_graph_execs(
|
||||
self, *, user_id: str, graph_id: str, websocket: WebSocket
|
||||
) -> str | None:
|
||||
return await self._unsubscribe(
|
||||
_graph_execs_channel_key(user_id, graph_id=graph_id), websocket
|
||||
)
|
||||
|
||||
async def send_execution_update(
|
||||
self, exec_event: GraphExecutionEvent | NodeExecutionEvent
|
||||
@@ -57,21 +65,51 @@ class ConnectionManager:
|
||||
if isinstance(exec_event, GraphExecutionEvent)
|
||||
else exec_event.graph_exec_id
|
||||
)
|
||||
key = _graph_exec_channel_key(exec_event.user_id, graph_exec_id)
|
||||
|
||||
n_sent = 0
|
||||
if key in self.subscriptions:
|
||||
|
||||
channels: set[str] = {
|
||||
# Send update to listeners for this graph execution
|
||||
_graph_exec_channel_key(exec_event.user_id, graph_exec_id=graph_exec_id)
|
||||
}
|
||||
if isinstance(exec_event, GraphExecutionEvent):
|
||||
# Send update to listeners for all executions of this graph
|
||||
channels.add(
|
||||
_graph_execs_channel_key(
|
||||
exec_event.user_id, graph_id=exec_event.graph_id
|
||||
)
|
||||
)
|
||||
|
||||
for channel in channels.intersection(self.subscriptions.keys()):
|
||||
message = WSMessage(
|
||||
method=_EVENT_TYPE_TO_METHOD_MAP[exec_event.event_type],
|
||||
channel=key,
|
||||
channel=channel,
|
||||
data=exec_event.model_dump(),
|
||||
).model_dump_json()
|
||||
for connection in self.subscriptions[key]:
|
||||
for connection in self.subscriptions[channel]:
|
||||
await connection.send_text(message)
|
||||
n_sent += 1
|
||||
|
||||
return n_sent
|
||||
|
||||
async def _subscribe(self, channel_key: str, websocket: WebSocket) -> str:
|
||||
if channel_key not in self.subscriptions:
|
||||
self.subscriptions[channel_key] = set()
|
||||
self.subscriptions[channel_key].add(websocket)
|
||||
return channel_key
|
||||
|
||||
def _graph_exec_channel_key(user_id: str, graph_exec_id: str) -> str:
|
||||
async def _unsubscribe(self, channel_key: str, websocket: WebSocket) -> str | None:
|
||||
if channel_key in self.subscriptions:
|
||||
self.subscriptions[channel_key].discard(websocket)
|
||||
if not self.subscriptions[channel_key]:
|
||||
del self.subscriptions[channel_key]
|
||||
return channel_key
|
||||
return None
|
||||
|
||||
|
||||
def _graph_exec_channel_key(user_id: str, *, graph_exec_id: str) -> str:
|
||||
return f"{user_id}|graph_exec#{graph_exec_id}"
|
||||
|
||||
|
||||
def _graph_execs_channel_key(user_id: str, *, graph_id: str) -> str:
|
||||
return f"{user_id}|graph#{graph_id}|executions"
|
||||
|
||||
@@ -9,6 +9,7 @@ from backend.data.graph import Graph
|
||||
|
||||
class WSMethod(enum.Enum):
|
||||
SUBSCRIBE_GRAPH_EXEC = "subscribe_graph_execution"
|
||||
SUBSCRIBE_GRAPH_EXECS = "subscribe_graph_executions"
|
||||
UNSUBSCRIBE = "unsubscribe"
|
||||
GRAPH_EXECUTION_EVENT = "graph_execution_event"
|
||||
NODE_EXECUTION_EVENT = "node_execution_event"
|
||||
@@ -28,6 +29,10 @@ class WSSubscribeGraphExecutionRequest(pydantic.BaseModel):
|
||||
graph_exec_id: str
|
||||
|
||||
|
||||
class WSSubscribeGraphExecutionsRequest(pydantic.BaseModel):
|
||||
graph_id: str
|
||||
|
||||
|
||||
class ExecuteGraphResponse(pydantic.BaseModel):
|
||||
graph_exec_id: str
|
||||
|
||||
|
||||
@@ -11,19 +11,20 @@ from autogpt_libs.feature_flag.client import (
|
||||
initialize_launchdarkly,
|
||||
shutdown_launchdarkly,
|
||||
)
|
||||
from autogpt_libs.logging.utils import generate_uvicorn_config
|
||||
|
||||
import backend.data.block
|
||||
import backend.data.db
|
||||
import backend.data.graph
|
||||
import backend.data.user
|
||||
import backend.server.integrations.router
|
||||
import backend.server.routers.postmark.postmark
|
||||
import backend.server.routers.v1
|
||||
import backend.server.v2.admin.store_admin_routes
|
||||
import backend.server.v2.library.db
|
||||
import backend.server.v2.library.model
|
||||
import backend.server.v2.library.routes
|
||||
import backend.server.v2.otto.routes
|
||||
import backend.server.v2.postmark.postmark
|
||||
import backend.server.v2.store.model
|
||||
import backend.server.v2.store.routes
|
||||
import backend.util.service
|
||||
@@ -115,8 +116,8 @@ app.include_router(
|
||||
)
|
||||
|
||||
app.include_router(
|
||||
backend.server.v2.postmark.postmark.router,
|
||||
tags=["v2", "email"],
|
||||
backend.server.routers.postmark.postmark.router,
|
||||
tags=["v1", "email"],
|
||||
prefix="/api/email",
|
||||
)
|
||||
|
||||
@@ -141,6 +142,7 @@ class AgentServer(backend.util.service.AppProcess):
|
||||
server_app,
|
||||
host=backend.util.settings.Config().agent_api_host,
|
||||
port=backend.util.settings.Config().agent_api_port,
|
||||
log_config=generate_uvicorn_config(),
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
@@ -186,14 +188,6 @@ class AgentServer(backend.util.service.AppProcess):
|
||||
raise ValueError(f"Execution {graph_exec_id} not found")
|
||||
return execution.status
|
||||
|
||||
@staticmethod
|
||||
async def test_get_graph_run_results(
|
||||
graph_id: str, graph_exec_id: str, user_id: str
|
||||
):
|
||||
return await backend.server.routers.v1.get_graph_execution(
|
||||
graph_id, graph_exec_id, user_id
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
async def test_delete_graph(graph_id: str, user_id: str):
|
||||
await backend.server.v2.library.db.delete_library_agent_by_graph_id(
|
||||
|
||||
@@ -10,7 +10,7 @@ from backend.data.user import (
|
||||
set_user_email_verification,
|
||||
unsubscribe_user_by_token,
|
||||
)
|
||||
from backend.server.v2.postmark.models import (
|
||||
from backend.server.routers.postmark.models import (
|
||||
PostmarkBounceEnum,
|
||||
PostmarkBounceWebhook,
|
||||
PostmarkClickWebhook,
|
||||
@@ -10,7 +10,7 @@ from autogpt_libs.auth.middleware import auth_middleware
|
||||
from autogpt_libs.feature_flag.client import feature_flag
|
||||
from autogpt_libs.utils.cache import thread_cached
|
||||
from fastapi import APIRouter, Body, Depends, HTTPException, Request, Response
|
||||
from starlette.status import HTTP_204_NO_CONTENT
|
||||
from starlette.status import HTTP_204_NO_CONTENT, HTTP_404_NOT_FOUND
|
||||
from typing_extensions import Optional, TypedDict
|
||||
|
||||
import backend.data.block
|
||||
@@ -653,9 +653,17 @@ async def get_graph_execution(
|
||||
graph_id: str,
|
||||
graph_exec_id: str,
|
||||
user_id: Annotated[str, Depends(get_user_id)],
|
||||
) -> execution_db.GraphExecution:
|
||||
) -> execution_db.GraphExecution | execution_db.GraphExecutionWithNodes:
|
||||
graph = await graph_db.get_graph(graph_id=graph_id, user_id=user_id)
|
||||
if not graph:
|
||||
raise HTTPException(
|
||||
status_code=HTTP_404_NOT_FOUND, detail=f"Graph #{graph_id} not found"
|
||||
)
|
||||
|
||||
result = await execution_db.get_graph_execution(
|
||||
execution_id=graph_exec_id, user_id=user_id
|
||||
user_id=user_id,
|
||||
execution_id=graph_exec_id,
|
||||
include_node_executions=graph.user_id == user_id,
|
||||
)
|
||||
if not result or result.graph_id != graph_id:
|
||||
raise HTTPException(
|
||||
|
||||
@@ -6,6 +6,7 @@ import prisma.errors
|
||||
import prisma.fields
|
||||
import prisma.models
|
||||
import prisma.types
|
||||
from prisma.types import AgentPresetCreateInput
|
||||
|
||||
import backend.data.graph
|
||||
import backend.server.model
|
||||
@@ -228,16 +229,16 @@ async def create_library_agent(
|
||||
|
||||
try:
|
||||
return await prisma.models.LibraryAgent.prisma().create(
|
||||
data={
|
||||
"isCreatedByUser": (user_id == graph.user_id),
|
||||
"useGraphIsActiveVersion": True,
|
||||
"User": {"connect": {"id": user_id}},
|
||||
"Agent": {
|
||||
data=prisma.types.LibraryAgentCreateInput(
|
||||
isCreatedByUser=(user_id == graph.user_id),
|
||||
useGraphIsActiveVersion=True,
|
||||
User={"connect": {"id": user_id}},
|
||||
Agent={
|
||||
"connect": {
|
||||
"graphVersionId": {"id": graph.id, "version": graph.version}
|
||||
}
|
||||
},
|
||||
}
|
||||
)
|
||||
)
|
||||
except prisma.errors.PrismaError as e:
|
||||
logger.error(f"Database error creating agent in library: {e}")
|
||||
@@ -418,12 +419,12 @@ async def add_store_agent_to_library(
|
||||
|
||||
# Create LibraryAgent entry
|
||||
added_agent = await prisma.models.LibraryAgent.prisma().create(
|
||||
data={
|
||||
"userId": user_id,
|
||||
"agentId": graph.id,
|
||||
"agentVersion": graph.version,
|
||||
"isCreatedByUser": False,
|
||||
},
|
||||
data=prisma.types.LibraryAgentCreateInput(
|
||||
userId=user_id,
|
||||
agentId=graph.id,
|
||||
agentVersion=graph.version,
|
||||
isCreatedByUser=False,
|
||||
),
|
||||
include=library_agent_include(user_id),
|
||||
)
|
||||
logger.debug(
|
||||
@@ -601,17 +602,17 @@ async def upsert_preset(
|
||||
# Update existing preset
|
||||
updated = await prisma.models.AgentPreset.prisma().update(
|
||||
where={"id": preset_id},
|
||||
data={
|
||||
"name": preset.name,
|
||||
"description": preset.description,
|
||||
"isActive": preset.is_active,
|
||||
"InputPresets": {
|
||||
data=AgentPresetCreateInput(
|
||||
name=preset.name,
|
||||
description=preset.description,
|
||||
isActive=preset.is_active,
|
||||
InputPresets={
|
||||
"create": [
|
||||
{"name": name, "data": prisma.fields.Json(data)}
|
||||
for name, data in preset.inputs.items()
|
||||
]
|
||||
},
|
||||
},
|
||||
),
|
||||
include={"InputPresets": True},
|
||||
)
|
||||
if not updated:
|
||||
@@ -620,20 +621,20 @@ async def upsert_preset(
|
||||
else:
|
||||
# Create new preset
|
||||
new_preset = await prisma.models.AgentPreset.prisma().create(
|
||||
data={
|
||||
"userId": user_id,
|
||||
"name": preset.name,
|
||||
"description": preset.description,
|
||||
"agentId": preset.agent_id,
|
||||
"agentVersion": preset.agent_version,
|
||||
"isActive": preset.is_active,
|
||||
"InputPresets": {
|
||||
data=prisma.types.AgentPresetCreateInput(
|
||||
userId=user_id,
|
||||
name=preset.name,
|
||||
description=preset.description,
|
||||
agentId=preset.agent_id,
|
||||
agentVersion=preset.agent_version,
|
||||
isActive=preset.is_active,
|
||||
InputPresets={
|
||||
"create": [
|
||||
{"name": name, "data": prisma.fields.Json(data)}
|
||||
for name, data in preset.inputs.items()
|
||||
]
|
||||
},
|
||||
},
|
||||
),
|
||||
include={"InputPresets": True},
|
||||
)
|
||||
return library_model.LibraryAgentPreset.from_db(new_preset)
|
||||
|
||||
@@ -81,7 +81,7 @@ async def test_get_library_agents(mocker):
|
||||
assert result.pagination.page_size == 50
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_add_agent_to_library(mocker):
|
||||
await connect()
|
||||
# Mock data
|
||||
@@ -165,7 +165,7 @@ async def test_add_agent_to_library(mocker):
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_add_agent_to_library_not_found(mocker):
|
||||
await connect()
|
||||
# Mock prisma calls
|
||||
|
||||
@@ -1005,7 +1005,7 @@ async def get_my_agents(
|
||||
|
||||
|
||||
async def get_agent(
|
||||
user_id: str,
|
||||
user_id: str | None,
|
||||
store_listing_version_id: str,
|
||||
) -> GraphModel:
|
||||
"""Get agent using the version ID and store listing version ID."""
|
||||
|
||||
@@ -7,6 +7,7 @@ import autogpt_libs.auth.depends
|
||||
import autogpt_libs.auth.middleware
|
||||
import fastapi
|
||||
import fastapi.responses
|
||||
from autogpt_libs.auth.depends import auth_middleware, get_user_id
|
||||
|
||||
import backend.data.block
|
||||
import backend.data.graph
|
||||
@@ -639,9 +640,7 @@ async def generate_image(
|
||||
tags=["store", "public"],
|
||||
)
|
||||
async def download_agent_file(
|
||||
user_id: typing.Annotated[
|
||||
str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
|
||||
],
|
||||
request: fastapi.Request,
|
||||
store_listing_version_id: str = fastapi.Path(
|
||||
..., description="The ID of the agent to download"
|
||||
),
|
||||
@@ -658,6 +657,10 @@ async def download_agent_file(
|
||||
Raises:
|
||||
HTTPException: If the agent is not found or an unexpected error occurs.
|
||||
"""
|
||||
try:
|
||||
user_id = get_user_id(await auth_middleware(request))
|
||||
except fastapi.HTTPException:
|
||||
user_id = None
|
||||
|
||||
graph_data = await backend.server.v2.store.db.get_agent(
|
||||
user_id=user_id,
|
||||
|
||||
@@ -1,9 +1,11 @@
|
||||
import asyncio
|
||||
import logging
|
||||
from contextlib import asynccontextmanager
|
||||
from typing import Protocol
|
||||
|
||||
import uvicorn
|
||||
from autogpt_libs.auth import parse_jwt_token
|
||||
from autogpt_libs.logging.utils import generate_uvicorn_config
|
||||
from autogpt_libs.utils.cache import thread_cached
|
||||
from fastapi import Depends, FastAPI, WebSocket, WebSocketDisconnect
|
||||
from starlette.middleware.cors import CORSMiddleware
|
||||
@@ -12,7 +14,12 @@ from backend.data import redis
|
||||
from backend.data.execution import AsyncRedisExecutionEventBus
|
||||
from backend.data.user import DEFAULT_USER_ID
|
||||
from backend.server.conn_manager import ConnectionManager
|
||||
from backend.server.model import WSMessage, WSMethod, WSSubscribeGraphExecutionRequest
|
||||
from backend.server.model import (
|
||||
WSMessage,
|
||||
WSMethod,
|
||||
WSSubscribeGraphExecutionRequest,
|
||||
WSSubscribeGraphExecutionsRequest,
|
||||
)
|
||||
from backend.util.service import AppProcess, get_service_client
|
||||
from backend.util.settings import AppEnvironment, Config, Settings
|
||||
|
||||
@@ -81,6 +88,19 @@ async def authenticate_websocket(websocket: WebSocket) -> str:
|
||||
return ""
|
||||
|
||||
|
||||
# ===================== Message Handlers ===================== #
|
||||
|
||||
|
||||
class WSMessageHandler(Protocol):
|
||||
async def __call__(
|
||||
self,
|
||||
connection_manager: ConnectionManager,
|
||||
websocket: WebSocket,
|
||||
user_id: str,
|
||||
message: WSMessage,
|
||||
): ...
|
||||
|
||||
|
||||
async def handle_subscribe(
|
||||
connection_manager: ConnectionManager,
|
||||
websocket: WebSocket,
|
||||
@@ -95,41 +115,53 @@ async def handle_subscribe(
|
||||
error="Subscription data missing",
|
||||
).model_dump_json()
|
||||
)
|
||||
else:
|
||||
return
|
||||
|
||||
# Verify that user has read access to graph
|
||||
# if not get_db_client().get_graph(
|
||||
# graph_id=sub_req.graph_id,
|
||||
# version=sub_req.graph_version,
|
||||
# user_id=user_id,
|
||||
# ):
|
||||
# await websocket.send_text(
|
||||
# WsMessage(
|
||||
# method=Methods.ERROR,
|
||||
# success=False,
|
||||
# error="Access denied",
|
||||
# ).model_dump_json()
|
||||
# )
|
||||
# return
|
||||
|
||||
if message.method == WSMethod.SUBSCRIBE_GRAPH_EXEC:
|
||||
sub_req = WSSubscribeGraphExecutionRequest.model_validate(message.data)
|
||||
|
||||
# Verify that user has read access to graph
|
||||
# if not get_db_client().get_graph(
|
||||
# graph_id=sub_req.graph_id,
|
||||
# version=sub_req.graph_version,
|
||||
# user_id=user_id,
|
||||
# ):
|
||||
# await websocket.send_text(
|
||||
# WsMessage(
|
||||
# method=Methods.ERROR,
|
||||
# success=False,
|
||||
# error="Access denied",
|
||||
# ).model_dump_json()
|
||||
# )
|
||||
# return
|
||||
|
||||
channel_key = await connection_manager.subscribe_graph_exec(
|
||||
user_id=user_id,
|
||||
graph_exec_id=sub_req.graph_exec_id,
|
||||
websocket=websocket,
|
||||
)
|
||||
logger.debug(
|
||||
f"New subscription for user #{user_id}, "
|
||||
f"graph execution #{sub_req.graph_exec_id}"
|
||||
|
||||
elif message.method == WSMethod.SUBSCRIBE_GRAPH_EXECS:
|
||||
sub_req = WSSubscribeGraphExecutionsRequest.model_validate(message.data)
|
||||
channel_key = await connection_manager.subscribe_graph_execs(
|
||||
user_id=user_id,
|
||||
graph_id=sub_req.graph_id,
|
||||
websocket=websocket,
|
||||
)
|
||||
await websocket.send_text(
|
||||
WSMessage(
|
||||
method=WSMethod.SUBSCRIBE_GRAPH_EXEC,
|
||||
success=True,
|
||||
channel=channel_key,
|
||||
).model_dump_json()
|
||||
|
||||
else:
|
||||
raise ValueError(
|
||||
f"{handle_subscribe.__name__} can't handle '{message.method}' messages"
|
||||
)
|
||||
|
||||
logger.debug(f"New subscription on channel {channel_key} for user #{user_id}")
|
||||
await websocket.send_text(
|
||||
WSMessage(
|
||||
method=message.method,
|
||||
success=True,
|
||||
channel=channel_key,
|
||||
).model_dump_json()
|
||||
)
|
||||
|
||||
|
||||
async def handle_unsubscribe(
|
||||
connection_manager: ConnectionManager,
|
||||
@@ -145,29 +177,49 @@ async def handle_unsubscribe(
|
||||
error="Subscription data missing",
|
||||
).model_dump_json()
|
||||
)
|
||||
else:
|
||||
unsub_req = WSSubscribeGraphExecutionRequest.model_validate(message.data)
|
||||
channel_key = await connection_manager.unsubscribe(
|
||||
user_id=user_id,
|
||||
graph_exec_id=unsub_req.graph_exec_id,
|
||||
websocket=websocket,
|
||||
)
|
||||
logger.debug(
|
||||
f"Removed subscription for user #{user_id}, "
|
||||
f"graph execution #{unsub_req.graph_exec_id}"
|
||||
)
|
||||
await websocket.send_text(
|
||||
WSMessage(
|
||||
method=WSMethod.UNSUBSCRIBE,
|
||||
success=True,
|
||||
channel=channel_key,
|
||||
).model_dump_json()
|
||||
)
|
||||
return
|
||||
|
||||
unsub_req = WSSubscribeGraphExecutionRequest.model_validate(message.data)
|
||||
channel_key = await connection_manager.unsubscribe_graph_exec(
|
||||
user_id=user_id,
|
||||
graph_exec_id=unsub_req.graph_exec_id,
|
||||
websocket=websocket,
|
||||
)
|
||||
|
||||
logger.debug(f"Removed subscription on channel {channel_key} for user #{user_id}")
|
||||
await websocket.send_text(
|
||||
WSMessage(
|
||||
method=WSMethod.UNSUBSCRIBE,
|
||||
success=True,
|
||||
channel=channel_key,
|
||||
).model_dump_json()
|
||||
)
|
||||
|
||||
|
||||
@app.get("/")
|
||||
async def health():
|
||||
return {"status": "healthy"}
|
||||
async def handle_heartbeat(
|
||||
connection_manager: ConnectionManager,
|
||||
websocket: WebSocket,
|
||||
user_id: str,
|
||||
message: WSMessage,
|
||||
):
|
||||
await websocket.send_json(
|
||||
{
|
||||
"method": WSMethod.HEARTBEAT.value,
|
||||
"data": "pong",
|
||||
"success": True,
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
_MSG_HANDLERS: dict[WSMethod, WSMessageHandler] = {
|
||||
WSMethod.HEARTBEAT: handle_heartbeat,
|
||||
WSMethod.SUBSCRIBE_GRAPH_EXEC: handle_subscribe,
|
||||
WSMethod.SUBSCRIBE_GRAPH_EXECS: handle_subscribe,
|
||||
WSMethod.UNSUBSCRIBE: handle_unsubscribe,
|
||||
}
|
||||
|
||||
|
||||
# ===================== WebSocket Server ===================== #
|
||||
|
||||
|
||||
@app.websocket("/ws")
|
||||
@@ -183,28 +235,9 @@ async def websocket_router(
|
||||
data = await websocket.receive_text()
|
||||
message = WSMessage.model_validate_json(data)
|
||||
|
||||
if message.method == WSMethod.HEARTBEAT:
|
||||
await websocket.send_json(
|
||||
{
|
||||
"method": WSMethod.HEARTBEAT.value,
|
||||
"data": "pong",
|
||||
"success": True,
|
||||
}
|
||||
)
|
||||
continue
|
||||
|
||||
try:
|
||||
if message.method == WSMethod.SUBSCRIBE_GRAPH_EXEC:
|
||||
await handle_subscribe(
|
||||
connection_manager=manager,
|
||||
websocket=websocket,
|
||||
user_id=user_id,
|
||||
message=message,
|
||||
)
|
||||
continue
|
||||
|
||||
elif message.method == WSMethod.UNSUBSCRIBE:
|
||||
await handle_unsubscribe(
|
||||
if message.method in _MSG_HANDLERS:
|
||||
await _MSG_HANDLERS[message.method](
|
||||
connection_manager=manager,
|
||||
websocket=websocket,
|
||||
user_id=user_id,
|
||||
@@ -213,7 +246,7 @@ async def websocket_router(
|
||||
continue
|
||||
except Exception as e:
|
||||
logger.error(
|
||||
f"Error while handling '{message.method}' message "
|
||||
f"Error while handling '{message.method.value}' message "
|
||||
f"for user #{user_id}: {e}"
|
||||
)
|
||||
continue
|
||||
@@ -239,6 +272,11 @@ async def websocket_router(
|
||||
logger.debug("WebSocket client disconnected")
|
||||
|
||||
|
||||
@app.get("/")
|
||||
async def health():
|
||||
return {"status": "healthy"}
|
||||
|
||||
|
||||
class WebsocketServer(AppProcess):
|
||||
def run(self):
|
||||
logger.info(f"CORS allow origins: {settings.config.backend_cors_allow_origins}")
|
||||
@@ -249,8 +287,10 @@ class WebsocketServer(AppProcess):
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
uvicorn.run(
|
||||
server_app,
|
||||
host=Config().websocket_server_host,
|
||||
port=Config().websocket_server_port,
|
||||
log_config=generate_uvicorn_config(),
|
||||
)
|
||||
|
||||
@@ -259,7 +259,6 @@ async def block_autogen_agent():
|
||||
)
|
||||
print(response)
|
||||
result = await wait_execution(
|
||||
graph_id=test_graph.id,
|
||||
graph_exec_id=response.graph_exec_id,
|
||||
timeout=1200,
|
||||
user_id=test_user.id,
|
||||
|
||||
@@ -162,9 +162,7 @@ async def reddit_marketing_agent():
|
||||
node_input=input_data,
|
||||
)
|
||||
print(response)
|
||||
result = await wait_execution(
|
||||
test_user.id, test_graph.id, response.graph_exec_id, 120
|
||||
)
|
||||
result = await wait_execution(test_user.id, response.graph_exec_id, 120)
|
||||
print(result)
|
||||
|
||||
|
||||
|
||||
@@ -94,7 +94,7 @@ async def sample_agent():
|
||||
user_id=test_user.id,
|
||||
node_input=input_data,
|
||||
)
|
||||
await wait_execution(test_user.id, test_graph.id, response.graph_exec_id, 10)
|
||||
await wait_execution(test_user.id, response.graph_exec_id, 10)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -7,8 +7,8 @@ import uuid
|
||||
from pathlib import Path
|
||||
from urllib.parse import urlparse
|
||||
|
||||
# This "requests" presumably has additional checks against internal networks for SSRF.
|
||||
from backend.util.request import requests
|
||||
from backend.util.type import MediaFileType
|
||||
|
||||
TEMP_DIR = Path(tempfile.gettempdir()).resolve()
|
||||
|
||||
@@ -29,30 +29,9 @@ def clean_exec_files(graph_exec_id: str, file: str = "") -> None:
|
||||
shutil.rmtree(exec_path)
|
||||
|
||||
|
||||
class MediaFile(str):
|
||||
"""
|
||||
MediaFile is a string that represents a file. It can be one of the following:
|
||||
- Data URI: base64 encoded media file. See https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data/
|
||||
- URL: Media file hosted on the internet, it starts with http:// or https://.
|
||||
- Local path (anything else): A temporary file path living within graph execution time.
|
||||
|
||||
Note: Replace this type alias into a proper class, when more information is needed.
|
||||
"""
|
||||
|
||||
@classmethod
|
||||
def __get_pydantic_core_schema__(cls, source_type, handler):
|
||||
return handler(str)
|
||||
|
||||
@classmethod
|
||||
def __get_pydantic_json_schema__(cls, core_schema, handler):
|
||||
json_schema = handler(core_schema)
|
||||
json_schema["format"] = "file"
|
||||
return json_schema
|
||||
|
||||
|
||||
def store_media_file(
|
||||
graph_exec_id: str, file: MediaFile, return_content: bool = False
|
||||
) -> MediaFile:
|
||||
graph_exec_id: str, file: MediaFileType, return_content: bool = False
|
||||
) -> MediaFileType:
|
||||
"""
|
||||
Safely handle 'file' (a data URI, a URL, or a local path relative to {temp}/exec_file/{exec_id}),
|
||||
placing or verifying it under:
|
||||
@@ -61,7 +40,7 @@ def store_media_file(
|
||||
If 'return_content=True', return a data URI (data:<mime>;base64,<content>).
|
||||
Otherwise, returns the file media path relative to the exec_id folder.
|
||||
|
||||
For each MediaFile type:
|
||||
For each MediaFileType type:
|
||||
- Data URI:
|
||||
-> decode and store in a new random file in that folder
|
||||
- URL:
|
||||
@@ -148,6 +127,6 @@ def store_media_file(
|
||||
|
||||
# Return result
|
||||
if return_content:
|
||||
return MediaFile(_file_to_data_uri(target_path))
|
||||
return MediaFileType(_file_to_data_uri(target_path))
|
||||
else:
|
||||
return MediaFile(_strip_base_prefix(target_path, base_path))
|
||||
return MediaFileType(_strip_base_prefix(target_path, base_path))
|
||||
|
||||
@@ -1,8 +1,26 @@
|
||||
import logging
|
||||
import sentry_sdk
|
||||
|
||||
from backend.util.settings import Settings
|
||||
from sentry_sdk.integrations.anthropic import AnthropicIntegration
|
||||
from sentry_sdk.integrations.launchdarkly import LaunchDarklyIntegration
|
||||
from sentry_sdk.integrations.logging import LoggingIntegration
|
||||
|
||||
|
||||
def sentry_init():
|
||||
sentry_dsn = Settings().secrets.sentry_dsn
|
||||
sentry_sdk.init(dsn=sentry_dsn, traces_sample_rate=1.0, profiles_sample_rate=1.0)
|
||||
sentry_sdk.init(
|
||||
dsn=sentry_dsn,
|
||||
traces_sample_rate=1.0,
|
||||
profiles_sample_rate=1.0,
|
||||
environment=f"app:{Settings().config.app_env.value}-behave:{Settings().config.behave_as.value}",
|
||||
_experiments={
|
||||
"enable_logs": True,
|
||||
},
|
||||
integrations=[
|
||||
LoggingIntegration(sentry_logs_level=logging.INFO),
|
||||
AnthropicIntegration(
|
||||
include_prompts=False,
|
||||
),
|
||||
],
|
||||
)
|
||||
|
||||
@@ -28,6 +28,7 @@ class AppProcess(ABC):
|
||||
"""
|
||||
|
||||
process: Optional[Process] = None
|
||||
cleaned_up = False
|
||||
|
||||
set_start_method("spawn", force=True)
|
||||
configure_logging()
|
||||
@@ -62,6 +63,7 @@ class AppProcess(ABC):
|
||||
|
||||
def execute_run_command(self, silent):
|
||||
signal.signal(signal.SIGTERM, self._self_terminate)
|
||||
signal.signal(signal.SIGINT, self._self_terminate)
|
||||
|
||||
try:
|
||||
if silent:
|
||||
@@ -73,9 +75,16 @@ class AppProcess(ABC):
|
||||
self.run()
|
||||
except (KeyboardInterrupt, SystemExit) as e:
|
||||
logger.warning(f"[{self.service_name}] Terminated: {e}; quitting...")
|
||||
finally:
|
||||
if not self.cleaned_up:
|
||||
self.cleanup()
|
||||
self.cleaned_up = True
|
||||
logger.info(f"[{self.service_name}] Terminated.")
|
||||
|
||||
def _self_terminate(self, signum: int, frame):
|
||||
self.cleanup()
|
||||
if not self.cleaned_up:
|
||||
self.cleanup()
|
||||
self.cleaned_up = True
|
||||
sys.exit(0)
|
||||
|
||||
# Methods that are executed OUTSIDE the process #
|
||||
|
||||
@@ -142,7 +142,7 @@ def validate_url(
|
||||
|
||||
# Resolve all IP addresses for the hostname
|
||||
try:
|
||||
ip_list = [res[4][0] for res in socket.getaddrinfo(ascii_hostname, None)]
|
||||
ip_list = [str(res[4][0]) for res in socket.getaddrinfo(ascii_hostname, None)]
|
||||
ipv4 = [ip for ip in ip_list if ":" not in ip]
|
||||
ipv6 = [ip for ip in ip_list if ":" in ip]
|
||||
ip_addresses = ipv4 + ipv6 # Prefer IPv4 over IPv6
|
||||
|
||||
@@ -34,7 +34,7 @@ def conn_retry(
|
||||
def on_retry(retry_state):
|
||||
prefix = _log_prefix(resource_name, conn_id)
|
||||
exception = retry_state.outcome.exception()
|
||||
logger.error(f"{prefix} {action_name} failed: {exception}. Retrying now...")
|
||||
logger.warning(f"{prefix} {action_name} failed: {exception}. Retrying now...")
|
||||
|
||||
def decorator(func):
|
||||
is_coroutine = asyncio.iscoroutinefunction(func)
|
||||
|
||||
@@ -324,14 +324,16 @@ class FastApiAppService(BaseAppService, ABC):
|
||||
|
||||
async def async_endpoint(body: RequestBodyModel): # type: ignore #RequestBodyModel being variable
|
||||
return await f(
|
||||
**{name: getattr(body, name) for name in body.model_fields}
|
||||
**{name: getattr(body, name) for name in type(body).model_fields}
|
||||
)
|
||||
|
||||
return async_endpoint
|
||||
else:
|
||||
|
||||
def sync_endpoint(body: RequestBodyModel): # type: ignore #RequestBodyModel being variable
|
||||
return f(**{name: getattr(body, name) for name in body.model_fields})
|
||||
return f(
|
||||
**{name: getattr(body, name) for name in type(body).model_fields}
|
||||
)
|
||||
|
||||
return sync_endpoint
|
||||
|
||||
|
||||
@@ -31,12 +31,12 @@ class UpdateTrackingModel(BaseModel, Generic[T]):
|
||||
_updated_fields: Set[str] = PrivateAttr(default_factory=set)
|
||||
|
||||
def __setattr__(self, name: str, value) -> None:
|
||||
if name in self.model_fields:
|
||||
if name in UpdateTrackingModel.model_fields:
|
||||
self._updated_fields.add(name)
|
||||
super().__setattr__(name, value)
|
||||
|
||||
def mark_updated(self, field_name: str) -> None:
|
||||
if field_name in self.model_fields:
|
||||
if field_name in UpdateTrackingModel.model_fields:
|
||||
self._updated_fields.add(field_name)
|
||||
|
||||
def clear_updates(self) -> None:
|
||||
@@ -228,7 +228,7 @@ class Config(UpdateTrackingModel["Config"], BaseSettings):
|
||||
description="Whether to use the new agent image generation service",
|
||||
)
|
||||
enable_agent_input_subtype_blocks: bool = Field(
|
||||
default=False,
|
||||
default=True,
|
||||
description="Whether to enable the agent input subtype blocks",
|
||||
)
|
||||
|
||||
|
||||
@@ -5,7 +5,11 @@ from typing import Sequence, cast
|
||||
|
||||
from backend.data import db
|
||||
from backend.data.block import Block, BlockSchema, initialize_blocks
|
||||
from backend.data.execution import ExecutionStatus, NodeExecutionResult
|
||||
from backend.data.execution import (
|
||||
ExecutionStatus,
|
||||
NodeExecutionResult,
|
||||
get_graph_execution,
|
||||
)
|
||||
from backend.data.model import _BaseCredentials
|
||||
from backend.data.user import create_default_user
|
||||
from backend.executor import DatabaseManager, ExecutionManager, Scheduler
|
||||
@@ -60,7 +64,6 @@ class SpinTestServer:
|
||||
|
||||
async def wait_execution(
|
||||
user_id: str,
|
||||
graph_id: str,
|
||||
graph_exec_id: str,
|
||||
timeout: int = 30,
|
||||
) -> Sequence[NodeExecutionResult]:
|
||||
@@ -78,9 +81,12 @@ async def wait_execution(
|
||||
# Wait for the executions to complete
|
||||
for i in range(timeout):
|
||||
if await is_execution_completed():
|
||||
graph_exec = await AgentServer().test_get_graph_run_results(
|
||||
graph_id, graph_exec_id, user_id
|
||||
graph_exec = await get_graph_execution(
|
||||
user_id=user_id,
|
||||
execution_id=graph_exec_id,
|
||||
include_node_executions=True,
|
||||
)
|
||||
assert graph_exec, f"Graph execution #{graph_exec_id} not found"
|
||||
return graph_exec.node_executions
|
||||
time.sleep(1)
|
||||
|
||||
|
||||
@@ -195,3 +195,38 @@ def convert(value: Any, target_type: Type[T]) -> T:
|
||||
return cast(T, _try_convert(value, target_type, raise_on_mismatch=False))
|
||||
except Exception as e:
|
||||
raise ConversionError(f"Failed to convert {value} to {target_type}") from e
|
||||
|
||||
|
||||
class FormattedStringType(str):
|
||||
string_format: str
|
||||
|
||||
@classmethod
|
||||
def __get_pydantic_core_schema__(cls, source_type, handler):
|
||||
return handler(str)
|
||||
|
||||
@classmethod
|
||||
def __get_pydantic_json_schema__(cls, core_schema, handler):
|
||||
json_schema = handler(core_schema)
|
||||
json_schema["format"] = cls.string_format
|
||||
return json_schema
|
||||
|
||||
|
||||
class MediaFileType(FormattedStringType):
|
||||
"""
|
||||
MediaFile is a string that represents a file. It can be one of the following:
|
||||
- Data URI: base64 encoded media file. See https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data/
|
||||
- URL: Media file hosted on the internet, it starts with http:// or https://.
|
||||
- Local path (anything else): A temporary file path living within graph execution time.
|
||||
|
||||
Note: Replace this type alias into a proper class, when more information is needed.
|
||||
"""
|
||||
|
||||
string_format = "file"
|
||||
|
||||
|
||||
class LongTextType(FormattedStringType):
|
||||
string_format = "long-text"
|
||||
|
||||
|
||||
class ShortTextType(FormattedStringType):
|
||||
string_format = "short-text"
|
||||
|
||||
@@ -26,6 +26,21 @@ services:
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 5
|
||||
rabbitmq-test:
|
||||
image: rabbitmq:management
|
||||
container_name: rabbitmq-test
|
||||
healthcheck:
|
||||
test: rabbitmq-diagnostics -q ping
|
||||
interval: 30s
|
||||
timeout: 10s
|
||||
retries: 5
|
||||
start_period: 10s
|
||||
environment:
|
||||
- RABBITMQ_DEFAULT_USER=rabbitmq_user_default
|
||||
- RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7 # CHANGE THIS TO A RANDOM PASSWORD IN PRODUCTION -- everywhere lol
|
||||
ports:
|
||||
- "5672:5672"
|
||||
- "15672:15672"
|
||||
|
||||
networks:
|
||||
app-network-test:
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import os
|
||||
import subprocess
|
||||
import sys
|
||||
|
||||
directory = os.path.dirname(os.path.realpath(__file__))
|
||||
|
||||
@@ -10,7 +11,16 @@ TARGET_DIRS = [BACKEND_DIR, LIBS_DIR]
|
||||
|
||||
def run(*command: str) -> None:
|
||||
print(f">>>>> Running poetry run {' '.join(command)}")
|
||||
subprocess.run(["poetry", "run"] + list(command), cwd=directory, check=True)
|
||||
try:
|
||||
subprocess.run(
|
||||
["poetry", "run"] + list(command),
|
||||
cwd=directory,
|
||||
check=True,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.STDOUT,
|
||||
)
|
||||
except subprocess.CalledProcessError as e:
|
||||
print(e.output.decode("utf-8"), file=sys.stderr)
|
||||
|
||||
|
||||
def lint():
|
||||
|
||||
1378
autogpt_platform/backend/poetry.lock
generated
1378
autogpt_platform/backend/poetry.lock
generated
File diff suppressed because it is too large
Load Diff
@@ -9,54 +9,54 @@ packages = [{ include = "backend", format = "sdist" }]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.10,<3.13"
|
||||
aio-pika = "^9.5.4"
|
||||
anthropic = "^0.45.2"
|
||||
aio-pika = "^9.5.5"
|
||||
anthropic = "^0.49.0"
|
||||
apscheduler = "^3.11.0"
|
||||
autogpt-libs = { path = "../autogpt_libs", develop = true }
|
||||
bleach = {extras = ["css"], version = "^6.2.0"}
|
||||
bleach = { extras = ["css"], version = "^6.2.0" }
|
||||
click = "^8.1.7"
|
||||
cryptography = "^43.0"
|
||||
discord-py = "^2.4.0"
|
||||
e2b-code-interpreter = "^1.0.5"
|
||||
fastapi = "^0.115.8"
|
||||
discord-py = "^2.5.2"
|
||||
e2b-code-interpreter = "^1.1.1"
|
||||
fastapi = "^0.115.12"
|
||||
feedparser = "^6.0.11"
|
||||
flake8 = "^7.0.0"
|
||||
google-api-python-client = "^2.160.0"
|
||||
flake8 = "^7.2.0"
|
||||
google-api-python-client = "^2.166.0"
|
||||
google-auth-oauthlib = "^1.2.1"
|
||||
google-cloud-storage = "^3.0.0"
|
||||
google-cloud-storage = "^3.1.0"
|
||||
googlemaps = "^4.10.0"
|
||||
gravitasml = "^0.1.3"
|
||||
groq = "^0.18.0"
|
||||
jinja2 = "^3.1.4"
|
||||
groq = "^0.20.0"
|
||||
jinja2 = "^3.1.6"
|
||||
jsonref = "^1.1.0"
|
||||
jsonschema = "^4.22.0"
|
||||
launchdarkly-server-sdk = "^9.8.0"
|
||||
mem0ai = "^0.1.48"
|
||||
launchdarkly-server-sdk = "^9.10.0"
|
||||
mem0ai = "^0.1.80"
|
||||
moviepy = "^2.1.2"
|
||||
ollama = "^0.4.1"
|
||||
openai = "^1.61.1"
|
||||
openai = "^1.70.0"
|
||||
pika = "^1.3.2"
|
||||
pinecone = "^5.3.1"
|
||||
poetry = "^2.1.1"
|
||||
poetry = "^2.1.2"
|
||||
postmarker = "^1.0"
|
||||
praw = "~7.8.1"
|
||||
prisma = "^0.15.0"
|
||||
psutil = "^6.1.0"
|
||||
psutil = "^7.0.0"
|
||||
psycopg2-binary = "^2.9.10"
|
||||
pydantic = {extras = ["email"], version = "^2.10.6"}
|
||||
pydantic-settings = "^2.3.4"
|
||||
pydantic = { extras = ["email"], version = "^2.11.1" }
|
||||
pydantic-settings = "^2.8.1"
|
||||
pyro5 = "^5.15"
|
||||
pytest = "^8.2.1"
|
||||
pytest-asyncio = "^0.25.3"
|
||||
python-dotenv = "^1.0.1"
|
||||
pytest = "^8.3.5"
|
||||
pytest-asyncio = "^0.26.0"
|
||||
python-dotenv = "^1.1.0"
|
||||
python-multipart = "^0.0.20"
|
||||
redis = "^5.2.0"
|
||||
replicate = "^1.0.4"
|
||||
sentry-sdk = "2.20.0"
|
||||
sqlalchemy = "^2.0.36"
|
||||
sentry-sdk = {extras = ["anthropic", "fastapi", "launchdarkly", "openai", "sqlalchemy"], version = "^2.25.1"}
|
||||
sqlalchemy = "^2.0.40"
|
||||
strenum = "^0.4.9"
|
||||
stripe = "^11.5.0"
|
||||
supabase = "2.13.0"
|
||||
supabase = "2.15.0"
|
||||
tenacity = "^9.0.0"
|
||||
todoist-api-python = "^2.1.7"
|
||||
tweepy = "^4.14.0"
|
||||
@@ -67,17 +67,17 @@ zerobouncesdk = "^1.1.1"
|
||||
# NOTE: please insert new dependencies in their alphabetical location
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
aiohappyeyeballs = "^2.4.4"
|
||||
aiohappyeyeballs = "^2.6.1"
|
||||
black = "^24.10.0"
|
||||
faker = "^33.3.1"
|
||||
httpx = "^0.27.0"
|
||||
httpx = "^0.28.1"
|
||||
isort = "^5.13.2"
|
||||
poethepoet = "^0.32.1"
|
||||
pyright = "^1.1.392"
|
||||
poethepoet = "^0.33.1"
|
||||
pyright = "^1.1.398"
|
||||
pytest-mock = "^3.14.0"
|
||||
pytest-watcher = "^0.4.2"
|
||||
requests = "^2.32.3"
|
||||
ruff = "^0.9.2"
|
||||
ruff = "^0.11.2"
|
||||
# NOTE: please insert new dependencies in their alphabetical location
|
||||
|
||||
[build-system]
|
||||
|
||||
@@ -52,7 +52,6 @@ def test():
|
||||
"docker-compose.test.yaml",
|
||||
"up",
|
||||
"-d",
|
||||
"postgres-test",
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
@@ -52,7 +52,7 @@ async def spend_credits(entry: NodeExecutionEntry) -> int:
|
||||
return cost
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_block_credit_usage(server: SpinTestServer):
|
||||
await disable_test_user_transactions()
|
||||
await top_up(100)
|
||||
@@ -95,7 +95,7 @@ async def test_block_credit_usage(server: SpinTestServer):
|
||||
assert new_credit == current_credit - spending_amount_1 - spending_amount_2
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_block_credit_top_up(server: SpinTestServer):
|
||||
await disable_test_user_transactions()
|
||||
current_credit = await user_credit.get_credits(DEFAULT_USER_ID)
|
||||
@@ -106,7 +106,7 @@ async def test_block_credit_top_up(server: SpinTestServer):
|
||||
assert new_credit == current_credit + 100
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_block_credit_reset(server: SpinTestServer):
|
||||
await disable_test_user_transactions()
|
||||
month1 = 1
|
||||
@@ -133,7 +133,7 @@ async def test_block_credit_reset(server: SpinTestServer):
|
||||
assert await user_credit.get_credits(DEFAULT_USER_ID) == month2credit
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_credit_refill(server: SpinTestServer):
|
||||
await disable_test_user_transactions()
|
||||
balance = await user_credit.get_credits(DEFAULT_USER_ID)
|
||||
|
||||
@@ -17,7 +17,7 @@ from backend.usecases.sample import create_test_user
|
||||
from backend.util.test import SpinTestServer
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_graph_creation(server: SpinTestServer):
|
||||
"""
|
||||
Test the creation of a graph with nodes and links.
|
||||
@@ -71,7 +71,7 @@ async def test_graph_creation(server: SpinTestServer):
|
||||
assert links[0].sink_id in {nodes[0].id, nodes[1].id, nodes[2].id}
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_get_input_schema(server: SpinTestServer):
|
||||
"""
|
||||
Test the get_input_schema method of a created graph.
|
||||
@@ -167,7 +167,7 @@ async def test_get_input_schema(server: SpinTestServer):
|
||||
assert output_schema == ExpectedOutputSchema.jsonschema()
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_clean_graph(server: SpinTestServer):
|
||||
"""
|
||||
Test the clean_graph function that:
|
||||
@@ -211,7 +211,7 @@ async def test_clean_graph(server: SpinTestServer):
|
||||
assert input_node.input_default["value"] == ""
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_access_store_listing_graph(server: SpinTestServer):
|
||||
"""
|
||||
Test the access of a store listing graph.
|
||||
|
||||
@@ -46,24 +46,22 @@ async def execute_graph(
|
||||
|
||||
# Execution queue should be empty
|
||||
logger.info("Waiting for execution to complete...")
|
||||
result = await wait_execution(test_user.id, test_graph.id, graph_exec_id, 30)
|
||||
result = await wait_execution(test_user.id, graph_exec_id, 30)
|
||||
logger.info(f"Execution completed with {len(result)} results")
|
||||
assert len(result) == num_execs
|
||||
return graph_exec_id
|
||||
|
||||
|
||||
async def assert_sample_graph_executions(
|
||||
agent_server: AgentServer,
|
||||
test_graph: graph.Graph,
|
||||
test_user: User,
|
||||
graph_exec_id: str,
|
||||
):
|
||||
logger.info(f"Checking execution results for graph {test_graph.id}")
|
||||
graph_run = await agent_server.test_get_graph_run_results(
|
||||
test_graph.id,
|
||||
graph_exec_id,
|
||||
test_user.id,
|
||||
graph_run = await execution.get_graph_execution(
|
||||
test_user.id, graph_exec_id, include_node_executions=True
|
||||
)
|
||||
assert isinstance(graph_run, execution.GraphExecutionWithNodes)
|
||||
|
||||
output_list = [{"result": ["Hello"]}, {"result": ["World"]}]
|
||||
input_list = [
|
||||
@@ -129,7 +127,7 @@ async def assert_sample_graph_executions(
|
||||
assert exec.node_id == test_graph.nodes[3].id
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_agent_execution(server: SpinTestServer):
|
||||
logger.info("Starting test_agent_execution")
|
||||
test_user = await create_test_user()
|
||||
@@ -142,13 +140,11 @@ async def test_agent_execution(server: SpinTestServer):
|
||||
data,
|
||||
4,
|
||||
)
|
||||
await assert_sample_graph_executions(
|
||||
server.agent_server, test_graph, test_user, graph_exec_id
|
||||
)
|
||||
await assert_sample_graph_executions(test_graph, test_user, graph_exec_id)
|
||||
logger.info("Completed test_agent_execution")
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_input_pin_always_waited(server: SpinTestServer):
|
||||
"""
|
||||
This test is asserting that the input pin should always be waited for the execution,
|
||||
@@ -203,9 +199,10 @@ async def test_input_pin_always_waited(server: SpinTestServer):
|
||||
)
|
||||
|
||||
logger.info("Checking execution results")
|
||||
graph_exec = await server.agent_server.test_get_graph_run_results(
|
||||
test_graph.id, graph_exec_id, test_user.id
|
||||
graph_exec = await execution.get_graph_execution(
|
||||
test_user.id, graph_exec_id, include_node_executions=True
|
||||
)
|
||||
assert isinstance(graph_exec, execution.GraphExecutionWithNodes)
|
||||
assert len(graph_exec.node_executions) == 3
|
||||
# FindInDictionaryBlock should wait for the input pin to be provided,
|
||||
# Hence executing extraction of "key" from {"key1": "value1", "key2": "value2"}
|
||||
@@ -214,7 +211,7 @@ async def test_input_pin_always_waited(server: SpinTestServer):
|
||||
logger.info("Completed test_input_pin_always_waited")
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_static_input_link_on_graph(server: SpinTestServer):
|
||||
"""
|
||||
This test is asserting the behaviour of static input link, e.g: reusable input link.
|
||||
@@ -286,9 +283,10 @@ async def test_static_input_link_on_graph(server: SpinTestServer):
|
||||
server.agent_server, test_graph, test_user, {}, 8
|
||||
)
|
||||
logger.info("Checking execution results")
|
||||
graph_exec = await server.agent_server.test_get_graph_run_results(
|
||||
test_graph.id, graph_exec_id, test_user.id
|
||||
graph_exec = await execution.get_graph_execution(
|
||||
test_user.id, graph_exec_id, include_node_executions=True
|
||||
)
|
||||
assert isinstance(graph_exec, execution.GraphExecutionWithNodes)
|
||||
assert len(graph_exec.node_executions) == 8
|
||||
# The last 3 executions will be a+b=4+5=9
|
||||
for i, exec_data in enumerate(graph_exec.node_executions[-3:]):
|
||||
@@ -298,7 +296,7 @@ async def test_static_input_link_on_graph(server: SpinTestServer):
|
||||
logger.info("Completed test_static_input_link_on_graph")
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_execute_preset(server: SpinTestServer):
|
||||
"""
|
||||
Test executing a preset.
|
||||
@@ -385,7 +383,7 @@ async def test_execute_preset(server: SpinTestServer):
|
||||
graph_exec_id = result["id"]
|
||||
|
||||
# Wait for execution to complete
|
||||
executions = await wait_execution(test_user.id, test_graph.id, graph_exec_id)
|
||||
executions = await wait_execution(test_user.id, graph_exec_id)
|
||||
assert len(executions) == 4
|
||||
|
||||
# FindInDictionaryBlock should wait for the input pin to be provided,
|
||||
@@ -394,7 +392,7 @@ async def test_execute_preset(server: SpinTestServer):
|
||||
assert executions[3].output_data == {"output": ["World"]}
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_execute_preset_with_clash(server: SpinTestServer):
|
||||
"""
|
||||
Test executing a preset with clashing input data.
|
||||
@@ -475,7 +473,7 @@ async def test_execute_preset_with_clash(server: SpinTestServer):
|
||||
graph_exec_id = result["id"]
|
||||
|
||||
# Wait for execution to complete
|
||||
executions = await wait_execution(test_user.id, test_graph.id, graph_exec_id)
|
||||
executions = await wait_execution(test_user.id, graph_exec_id)
|
||||
assert len(executions) == 4
|
||||
|
||||
# FindInDictionaryBlock should wait for the input pin to be provided,
|
||||
@@ -484,7 +482,7 @@ async def test_execute_preset_with_clash(server: SpinTestServer):
|
||||
assert executions[3].output_data == {"output": ["Hello"]}
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_store_listing_graph(server: SpinTestServer):
|
||||
logger.info("Starting test_agent_execution")
|
||||
test_user = await create_test_user()
|
||||
@@ -542,7 +540,5 @@ async def test_store_listing_graph(server: SpinTestServer):
|
||||
4,
|
||||
)
|
||||
|
||||
await assert_sample_graph_executions(
|
||||
server.agent_server, test_graph, alt_test_user, graph_exec_id
|
||||
)
|
||||
await assert_sample_graph_executions(test_graph, alt_test_user, graph_exec_id)
|
||||
logger.info("Completed test_agent_execution")
|
||||
|
||||
@@ -8,7 +8,7 @@ from backend.util.service import get_service_client
|
||||
from backend.util.test import SpinTestServer
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_agent_schedule(server: SpinTestServer):
|
||||
await db.connect()
|
||||
test_user = await create_test_user()
|
||||
|
||||
@@ -55,13 +55,13 @@ async def execute_graph(
|
||||
|
||||
# Execution queue should be empty
|
||||
logger.info("Waiting for execution to complete...")
|
||||
result = await wait_execution(test_user.id, test_graph.id, graph_exec_id, 30)
|
||||
result = await wait_execution(test_user.id, graph_exec_id, 30)
|
||||
logger.info("Execution completed with %d results", len(result))
|
||||
return graph_exec_id
|
||||
|
||||
|
||||
@pytest.mark.skip()
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_graph_validation_with_tool_nodes_correct(server: SpinTestServer):
|
||||
test_user = await create_test_user()
|
||||
test_tool_graph = await create_graph(server, create_test_graph(), test_user)
|
||||
@@ -111,7 +111,7 @@ async def test_graph_validation_with_tool_nodes_correct(server: SpinTestServer):
|
||||
|
||||
|
||||
@pytest.mark.skip()
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_graph_validation_with_tool_nodes_raises_error(server: SpinTestServer):
|
||||
|
||||
test_user = await create_test_user()
|
||||
@@ -172,7 +172,7 @@ async def test_graph_validation_with_tool_nodes_raises_error(server: SpinTestSer
|
||||
|
||||
|
||||
@pytest.mark.skip()
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_smart_decision_maker_function_signature(server: SpinTestServer):
|
||||
test_user = await create_test_user()
|
||||
test_tool_graph = await create_graph(server, create_test_graph(), test_user)
|
||||
|
||||
@@ -68,7 +68,7 @@ async def test_unsubscribe(
|
||||
channel_key = "user-1|graph_exec#graph-exec-1"
|
||||
connection_manager.subscriptions[channel_key] = {mock_websocket}
|
||||
|
||||
await connection_manager.unsubscribe(
|
||||
await connection_manager.unsubscribe_graph_exec(
|
||||
user_id="user-1",
|
||||
graph_exec_id="graph-exec-1",
|
||||
websocket=mock_websocket,
|
||||
@@ -89,11 +89,22 @@ async def test_send_graph_execution_result(
|
||||
graph_id="test_graph",
|
||||
graph_version=1,
|
||||
status=ExecutionStatus.COMPLETED,
|
||||
cost=0,
|
||||
duration=1.2,
|
||||
total_run_time=0.5,
|
||||
started_at=datetime.now(tz=timezone.utc),
|
||||
ended_at=datetime.now(tz=timezone.utc),
|
||||
stats=GraphExecutionEvent.Stats(
|
||||
cost=0,
|
||||
duration=1.2,
|
||||
node_exec_time=0.5,
|
||||
node_exec_count=2,
|
||||
),
|
||||
inputs={
|
||||
"input_1": "some input value :)",
|
||||
"input_2": "some *other* input value",
|
||||
},
|
||||
outputs={
|
||||
"the_output": ["some output value"],
|
||||
"other_output": ["sike there was another output"],
|
||||
},
|
||||
)
|
||||
|
||||
await connection_manager.send_execution_update(result)
|
||||
|
||||
@@ -70,7 +70,7 @@ async def test_websocket_router_unsubscribe(
|
||||
).model_dump_json(),
|
||||
WebSocketDisconnect(),
|
||||
]
|
||||
mock_manager.unsubscribe.return_value = (
|
||||
mock_manager.unsubscribe_graph_exec.return_value = (
|
||||
f"{DEFAULT_USER_ID}|graph_exec#test-graph-exec-1"
|
||||
)
|
||||
|
||||
@@ -79,7 +79,7 @@ async def test_websocket_router_unsubscribe(
|
||||
)
|
||||
|
||||
mock_manager.connect_socket.assert_called_once_with(mock_websocket)
|
||||
mock_manager.unsubscribe.assert_called_once_with(
|
||||
mock_manager.unsubscribe_graph_exec.assert_called_once_with(
|
||||
user_id=DEFAULT_USER_ID,
|
||||
graph_exec_id="test-graph-exec-1",
|
||||
websocket=mock_websocket,
|
||||
@@ -168,7 +168,9 @@ async def test_handle_unsubscribe_success(
|
||||
message = WSMessage(
|
||||
method=WSMethod.UNSUBSCRIBE, data={"graph_exec_id": "test-graph-exec-id"}
|
||||
)
|
||||
mock_manager.unsubscribe.return_value = "user-1|graph_exec#test-graph-exec-id"
|
||||
mock_manager.unsubscribe_graph_exec.return_value = (
|
||||
"user-1|graph_exec#test-graph-exec-id"
|
||||
)
|
||||
|
||||
await handle_unsubscribe(
|
||||
connection_manager=cast(ConnectionManager, mock_manager),
|
||||
@@ -177,7 +179,7 @@ async def test_handle_unsubscribe_success(
|
||||
message=message,
|
||||
)
|
||||
|
||||
mock_manager.unsubscribe.assert_called_once_with(
|
||||
mock_manager.unsubscribe_graph_exec.assert_called_once_with(
|
||||
user_id="user-1",
|
||||
graph_exec_id="test-graph-exec-id",
|
||||
websocket=mock_websocket,
|
||||
@@ -200,7 +202,7 @@ async def test_handle_unsubscribe_missing_data(
|
||||
message=message,
|
||||
)
|
||||
|
||||
mock_manager.unsubscribe.assert_not_called()
|
||||
mock_manager._unsubscribe.assert_not_called()
|
||||
mock_websocket.send_text.assert_called_once()
|
||||
assert '"method":"error"' in mock_websocket.send_text.call_args[0][0]
|
||||
assert '"success":false' in mock_websocket.send_text.call_args[0][0]
|
||||
|
||||
@@ -5,6 +5,23 @@ from datetime import datetime
|
||||
import prisma.enums
|
||||
from faker import Faker
|
||||
from prisma import Json, Prisma
|
||||
from prisma.types import (
|
||||
AgentBlockCreateInput,
|
||||
AgentGraphCreateInput,
|
||||
AgentNodeCreateInput,
|
||||
AgentNodeLinkCreateInput,
|
||||
AgentPresetCreateInput,
|
||||
AnalyticsDetailsCreateInput,
|
||||
AnalyticsMetricsCreateInput,
|
||||
APIKeyCreateInput,
|
||||
CreditTransactionCreateInput,
|
||||
LibraryAgentCreateInput,
|
||||
ProfileCreateInput,
|
||||
StoreListingCreateInput,
|
||||
StoreListingReviewCreateInput,
|
||||
StoreListingVersionCreateInput,
|
||||
UserCreateInput,
|
||||
)
|
||||
|
||||
faker = Faker()
|
||||
|
||||
@@ -55,13 +72,13 @@ async def main():
|
||||
users = []
|
||||
for _ in range(NUM_USERS):
|
||||
user = await db.user.create(
|
||||
data={
|
||||
"id": str(faker.uuid4()),
|
||||
"email": faker.unique.email(),
|
||||
"name": faker.name(),
|
||||
"metadata": prisma.Json({}),
|
||||
"integrations": "",
|
||||
}
|
||||
data=UserCreateInput(
|
||||
id=str(faker.uuid4()),
|
||||
email=faker.unique.email(),
|
||||
name=faker.name(),
|
||||
metadata=prisma.Json({}),
|
||||
integrations="",
|
||||
)
|
||||
)
|
||||
users.append(user)
|
||||
|
||||
@@ -70,11 +87,11 @@ async def main():
|
||||
print(f"Inserting {NUM_AGENT_BLOCKS} agent blocks")
|
||||
for _ in range(NUM_AGENT_BLOCKS):
|
||||
block = await db.agentblock.create(
|
||||
data={
|
||||
"name": f"{faker.word()}_{str(faker.uuid4())[:8]}",
|
||||
"inputSchema": "{}",
|
||||
"outputSchema": "{}",
|
||||
}
|
||||
data=AgentBlockCreateInput(
|
||||
name=f"{faker.word()}_{str(faker.uuid4())[:8]}",
|
||||
inputSchema="{}",
|
||||
outputSchema="{}",
|
||||
)
|
||||
)
|
||||
agent_blocks.append(block)
|
||||
|
||||
@@ -86,12 +103,12 @@ async def main():
|
||||
random.randint(MIN_GRAPHS_PER_USER, MAX_GRAPHS_PER_USER)
|
||||
): # Adjust the range to create more graphs per user if desired
|
||||
graph = await db.agentgraph.create(
|
||||
data={
|
||||
"name": faker.sentence(nb_words=3),
|
||||
"description": faker.text(max_nb_chars=200),
|
||||
"userId": user.id,
|
||||
"isActive": True,
|
||||
}
|
||||
data=AgentGraphCreateInput(
|
||||
name=faker.sentence(nb_words=3),
|
||||
description=faker.text(max_nb_chars=200),
|
||||
userId=user.id,
|
||||
isActive=True,
|
||||
)
|
||||
)
|
||||
agent_graphs.append(graph)
|
||||
|
||||
@@ -105,13 +122,13 @@ async def main():
|
||||
for _ in range(num_nodes): # Create 5 AgentNodes per graph
|
||||
block = random.choice(agent_blocks)
|
||||
node = await db.agentnode.create(
|
||||
data={
|
||||
"agentBlockId": block.id,
|
||||
"agentGraphId": graph.id,
|
||||
"agentGraphVersion": graph.version,
|
||||
"constantInput": Json({}),
|
||||
"metadata": Json({}),
|
||||
}
|
||||
data=AgentNodeCreateInput(
|
||||
agentBlockId=block.id,
|
||||
agentGraphId=graph.id,
|
||||
agentGraphVersion=graph.version,
|
||||
constantInput=Json({}),
|
||||
metadata=Json({}),
|
||||
)
|
||||
)
|
||||
agent_nodes.append(node)
|
||||
|
||||
@@ -123,14 +140,14 @@ async def main():
|
||||
for _ in range(num_presets): # Create 1 AgentPreset per user
|
||||
graph = random.choice(agent_graphs)
|
||||
preset = await db.agentpreset.create(
|
||||
data={
|
||||
"name": faker.sentence(nb_words=3),
|
||||
"description": faker.text(max_nb_chars=200),
|
||||
"userId": user.id,
|
||||
"agentId": graph.id,
|
||||
"agentVersion": graph.version,
|
||||
"isActive": True,
|
||||
}
|
||||
data=AgentPresetCreateInput(
|
||||
name=faker.sentence(nb_words=3),
|
||||
description=faker.text(max_nb_chars=200),
|
||||
userId=user.id,
|
||||
agentId=graph.id,
|
||||
agentVersion=graph.version,
|
||||
isActive=True,
|
||||
)
|
||||
)
|
||||
agent_presets.append(preset)
|
||||
|
||||
@@ -143,20 +160,19 @@ async def main():
|
||||
graph = random.choice(agent_graphs)
|
||||
preset = random.choice(agent_presets)
|
||||
user_agent = await db.libraryagent.create(
|
||||
data={
|
||||
"userId": user.id,
|
||||
"agentId": graph.id,
|
||||
"agentVersion": graph.version,
|
||||
"agentPresetId": preset.id,
|
||||
"isFavorite": random.choice([True, False]),
|
||||
"isCreatedByUser": random.choice([True, False]),
|
||||
"isArchived": random.choice([True, False]),
|
||||
"isDeleted": random.choice([True, False]),
|
||||
}
|
||||
data=LibraryAgentCreateInput(
|
||||
userId=user.id,
|
||||
agentId=graph.id,
|
||||
agentVersion=graph.version,
|
||||
agentPresetId=preset.id,
|
||||
isFavorite=random.choice([True, False]),
|
||||
isCreatedByUser=random.choice([True, False]),
|
||||
isArchived=random.choice([True, False]),
|
||||
isDeleted=random.choice([True, False]),
|
||||
)
|
||||
)
|
||||
user_agents.append(user_agent)
|
||||
|
||||
# Insert AgentGraphExecutions
|
||||
# Insert AgentGraphExecutions
|
||||
agent_graph_executions = []
|
||||
print(
|
||||
@@ -253,13 +269,13 @@ async def main():
|
||||
source_node = nodes[0]
|
||||
sink_node = nodes[1]
|
||||
await db.agentnodelink.create(
|
||||
data={
|
||||
"agentNodeSourceId": source_node.id,
|
||||
"sourceName": "output1",
|
||||
"agentNodeSinkId": sink_node.id,
|
||||
"sinkName": "input1",
|
||||
"isStatic": False,
|
||||
}
|
||||
data=AgentNodeLinkCreateInput(
|
||||
agentNodeSourceId=source_node.id,
|
||||
sourceName="output1",
|
||||
agentNodeSinkId=sink_node.id,
|
||||
sinkName="input1",
|
||||
isStatic=False,
|
||||
)
|
||||
)
|
||||
|
||||
# Insert AnalyticsDetails
|
||||
@@ -267,12 +283,12 @@ async def main():
|
||||
for user in users:
|
||||
for _ in range(1):
|
||||
await db.analyticsdetails.create(
|
||||
data={
|
||||
"userId": user.id,
|
||||
"type": faker.word(),
|
||||
"data": prisma.Json({}),
|
||||
"dataIndex": faker.word(),
|
||||
}
|
||||
data=AnalyticsDetailsCreateInput(
|
||||
userId=user.id,
|
||||
type=faker.word(),
|
||||
data=prisma.Json({}),
|
||||
dataIndex=faker.word(),
|
||||
)
|
||||
)
|
||||
|
||||
# Insert AnalyticsMetrics
|
||||
@@ -280,12 +296,12 @@ async def main():
|
||||
for user in users:
|
||||
for _ in range(1):
|
||||
await db.analyticsmetrics.create(
|
||||
data={
|
||||
"userId": user.id,
|
||||
"analyticMetric": faker.word(),
|
||||
"value": random.uniform(0, 100),
|
||||
"dataString": faker.word(),
|
||||
}
|
||||
data=AnalyticsMetricsCreateInput(
|
||||
userId=user.id,
|
||||
analyticMetric=faker.word(),
|
||||
value=random.uniform(0, 100),
|
||||
dataString=faker.word(),
|
||||
)
|
||||
)
|
||||
|
||||
# Insert CreditTransaction (formerly UserBlockCredit)
|
||||
@@ -294,17 +310,17 @@ async def main():
|
||||
for _ in range(1):
|
||||
block = random.choice(agent_blocks)
|
||||
await db.credittransaction.create(
|
||||
data={
|
||||
"transactionKey": str(faker.uuid4()),
|
||||
"userId": user.id,
|
||||
"amount": random.randint(1, 100),
|
||||
"type": (
|
||||
data=CreditTransactionCreateInput(
|
||||
transactionKey=str(faker.uuid4()),
|
||||
userId=user.id,
|
||||
amount=random.randint(1, 100),
|
||||
type=(
|
||||
prisma.enums.CreditTransactionType.TOP_UP
|
||||
if random.random() < 0.5
|
||||
else prisma.enums.CreditTransactionType.USAGE
|
||||
),
|
||||
"metadata": prisma.Json({}),
|
||||
}
|
||||
metadata=prisma.Json({}),
|
||||
)
|
||||
)
|
||||
|
||||
# Insert Profiles
|
||||
@@ -312,14 +328,14 @@ async def main():
|
||||
print(f"Inserting {NUM_USERS} profiles")
|
||||
for user in users:
|
||||
profile = await db.profile.create(
|
||||
data={
|
||||
"userId": user.id,
|
||||
"name": user.name or faker.name(),
|
||||
"username": faker.unique.user_name(),
|
||||
"description": faker.text(),
|
||||
"links": [faker.url() for _ in range(3)],
|
||||
"avatarUrl": get_image(),
|
||||
}
|
||||
data=ProfileCreateInput(
|
||||
userId=user.id,
|
||||
name=user.name or faker.name(),
|
||||
username=faker.unique.user_name(),
|
||||
description=faker.text(),
|
||||
links=[faker.url() for _ in range(3)],
|
||||
avatarUrl=get_image(),
|
||||
)
|
||||
)
|
||||
profiles.append(profile)
|
||||
|
||||
@@ -330,13 +346,13 @@ async def main():
|
||||
user = random.choice(users)
|
||||
slug = faker.slug()
|
||||
listing = await db.storelisting.create(
|
||||
data={
|
||||
"agentId": graph.id,
|
||||
"agentVersion": graph.version,
|
||||
"owningUserId": user.id,
|
||||
"hasApprovedVersion": random.choice([True, False]),
|
||||
"slug": slug,
|
||||
}
|
||||
data=StoreListingCreateInput(
|
||||
agentId=graph.id,
|
||||
agentVersion=graph.version,
|
||||
owningUserId=user.id,
|
||||
hasApprovedVersion=random.choice([True, False]),
|
||||
slug=slug,
|
||||
)
|
||||
)
|
||||
store_listings.append(listing)
|
||||
|
||||
@@ -346,26 +362,26 @@ async def main():
|
||||
for listing in store_listings:
|
||||
graph = [g for g in agent_graphs if g.id == listing.agentId][0]
|
||||
version = await db.storelistingversion.create(
|
||||
data={
|
||||
"agentId": graph.id,
|
||||
"agentVersion": graph.version,
|
||||
"name": graph.name or faker.sentence(nb_words=3),
|
||||
"subHeading": faker.sentence(),
|
||||
"videoUrl": faker.url(),
|
||||
"imageUrls": [get_image() for _ in range(3)],
|
||||
"description": faker.text(),
|
||||
"categories": [faker.word() for _ in range(3)],
|
||||
"isFeatured": random.choice([True, False]),
|
||||
"isAvailable": True,
|
||||
"storeListingId": listing.id,
|
||||
"submissionStatus": random.choice(
|
||||
data=StoreListingVersionCreateInput(
|
||||
agentId=graph.id,
|
||||
agentVersion=graph.version,
|
||||
name=graph.name or faker.sentence(nb_words=3),
|
||||
subHeading=faker.sentence(),
|
||||
videoUrl=faker.url(),
|
||||
imageUrls=[get_image() for _ in range(3)],
|
||||
description=faker.text(),
|
||||
categories=[faker.word() for _ in range(3)],
|
||||
isFeatured=random.choice([True, False]),
|
||||
isAvailable=True,
|
||||
storeListingId=listing.id,
|
||||
submissionStatus=random.choice(
|
||||
[
|
||||
prisma.enums.SubmissionStatus.PENDING,
|
||||
prisma.enums.SubmissionStatus.APPROVED,
|
||||
prisma.enums.SubmissionStatus.REJECTED,
|
||||
]
|
||||
),
|
||||
}
|
||||
)
|
||||
)
|
||||
store_listing_versions.append(version)
|
||||
|
||||
@@ -385,12 +401,12 @@ async def main():
|
||||
# Take only the first num_reviews reviewers
|
||||
for reviewer in available_reviewers[:num_reviews]:
|
||||
await db.storelistingreview.create(
|
||||
data={
|
||||
"storeListingVersionId": version.id,
|
||||
"reviewByUserId": reviewer.id,
|
||||
"score": random.randint(1, 5),
|
||||
"comments": faker.text(),
|
||||
}
|
||||
data=StoreListingReviewCreateInput(
|
||||
storeListingVersionId=version.id,
|
||||
reviewByUserId=reviewer.id,
|
||||
score=random.randint(1, 5),
|
||||
comments=faker.text(),
|
||||
)
|
||||
)
|
||||
|
||||
# Update StoreListingVersions with submission status (StoreListingSubmissions table no longer exists)
|
||||
@@ -406,31 +422,42 @@ async def main():
|
||||
)
|
||||
await db.storelistingversion.update(
|
||||
where={"id": version.id},
|
||||
data={
|
||||
"submissionStatus": status,
|
||||
"Reviewer": {"connect": {"id": reviewer.id}},
|
||||
"reviewComments": faker.text(),
|
||||
"reviewedAt": datetime.now(),
|
||||
},
|
||||
data=StoreListingVersionCreateInput(
|
||||
submissionStatus=status,
|
||||
Reviewer={"connect": {"id": reviewer.id}},
|
||||
reviewComments=faker.text(),
|
||||
reviewedAt=datetime.now(),
|
||||
agentId=version.agentId, # preserving existing fields
|
||||
agentVersion=version.agentVersion,
|
||||
name=version.name,
|
||||
subHeading=version.subHeading,
|
||||
videoUrl=version.videoUrl,
|
||||
imageUrls=version.imageUrls,
|
||||
description=version.description,
|
||||
categories=version.categories,
|
||||
isFeatured=version.isFeatured,
|
||||
isAvailable=version.isAvailable,
|
||||
storeListingId=version.storeListingId,
|
||||
),
|
||||
)
|
||||
|
||||
# Insert APIKeys
|
||||
print(f"Inserting {NUM_USERS} api keys")
|
||||
for user in users:
|
||||
await db.apikey.create(
|
||||
data={
|
||||
"name": faker.word(),
|
||||
"prefix": str(faker.uuid4())[:8],
|
||||
"postfix": str(faker.uuid4())[-8:],
|
||||
"key": str(faker.sha256()),
|
||||
"status": prisma.enums.APIKeyStatus.ACTIVE,
|
||||
"permissions": [
|
||||
data=APIKeyCreateInput(
|
||||
name=faker.word(),
|
||||
prefix=str(faker.uuid4())[:8],
|
||||
postfix=str(faker.uuid4())[-8:],
|
||||
key=str(faker.sha256()),
|
||||
status=prisma.enums.APIKeyStatus.ACTIVE,
|
||||
permissions=[
|
||||
prisma.enums.APIKeyPermission.EXECUTE_GRAPH,
|
||||
prisma.enums.APIKeyPermission.READ_GRAPH,
|
||||
],
|
||||
"description": faker.text(),
|
||||
"userId": user.id,
|
||||
}
|
||||
description=faker.text(),
|
||||
userId=user.id,
|
||||
)
|
||||
)
|
||||
|
||||
await db.disconnect()
|
||||
|
||||
@@ -29,7 +29,7 @@ class ServiceTest(AppService):
|
||||
return self.run_and_wait(add_async(a, b))
|
||||
|
||||
|
||||
@pytest.mark.asyncio(scope="session")
|
||||
@pytest.mark.asyncio(loop_scope="session")
|
||||
async def test_service_creation(server):
|
||||
with ServiceTest():
|
||||
client = get_service_client(ServiceTest)
|
||||
|
||||
@@ -44,10 +44,11 @@
|
||||
"@radix-ui/react-switch": "^1.1.1",
|
||||
"@radix-ui/react-toast": "^1.2.5",
|
||||
"@radix-ui/react-tooltip": "^1.1.7",
|
||||
"@sentry/nextjs": "^8",
|
||||
"@sentry/nextjs": "^9",
|
||||
"@supabase/ssr": "^0.5.2",
|
||||
"@supabase/supabase-js": "^2.49.1",
|
||||
"@tanstack/react-table": "^8.21.2",
|
||||
"@types/jaro-winkler": "^0.2.4",
|
||||
"@xyflow/react": "12.4.2",
|
||||
"ajv": "^8.17.1",
|
||||
"boring-avatars": "^1.11.2",
|
||||
@@ -62,11 +63,12 @@
|
||||
"embla-carousel-react": "^8.5.2",
|
||||
"framer-motion": "^12.4.11",
|
||||
"geist": "^1.3.1",
|
||||
"jaro-winkler": "^0.2.8",
|
||||
"launchdarkly-react-client-sdk": "^3.6.1",
|
||||
"lodash.debounce": "^4.0.8",
|
||||
"lucide-react": "^0.479.0",
|
||||
"moment": "^2.30.1",
|
||||
"next": "^14.2.25",
|
||||
"next": "^14.2.26",
|
||||
"next-themes": "^0.4.5",
|
||||
"react": "^18",
|
||||
"react-day-picker": "^9.6.1",
|
||||
|
||||
@@ -74,7 +74,7 @@
|
||||
|
||||
@layer components {
|
||||
.agpt-border-input {
|
||||
@apply border border-input focus-visible:border-gray-400 focus-visible:outline-none;
|
||||
@apply m-0.5 border border-input focus:border-gray-400 focus:outline-none focus:ring-1 focus:ring-gray-400 data-[state=open]:border-gray-400 data-[state=open]:ring-1 data-[state=open]:ring-gray-400;
|
||||
}
|
||||
|
||||
.agpt-shadow-input {
|
||||
|
||||
@@ -8,8 +8,8 @@ import {
|
||||
GraphExecution,
|
||||
GraphExecutionID,
|
||||
GraphExecutionMeta,
|
||||
Graph,
|
||||
GraphID,
|
||||
GraphMeta,
|
||||
LibraryAgent,
|
||||
LibraryAgentID,
|
||||
Schedule,
|
||||
@@ -31,7 +31,7 @@ export default function AgentRunsPage(): React.ReactElement {
|
||||
|
||||
// ============================ STATE =============================
|
||||
|
||||
const [graph, setGraph] = useState<GraphMeta | null>(null);
|
||||
const [graph, setGraph] = useState<Graph | null>(null);
|
||||
const [agent, setAgent] = useState<LibraryAgent | null>(null);
|
||||
const [agentRuns, setAgentRuns] = useState<GraphExecutionMeta[]>([]);
|
||||
const [schedules, setSchedules] = useState<Schedule[]>([]);
|
||||
@@ -64,9 +64,7 @@ export default function AgentRunsPage(): React.ReactElement {
|
||||
setSelectedSchedule(schedule);
|
||||
}, []);
|
||||
|
||||
const [graphVersions, setGraphVersions] = useState<Record<number, GraphMeta>>(
|
||||
{},
|
||||
);
|
||||
const [graphVersions, setGraphVersions] = useState<Record<number, Graph>>({});
|
||||
const getGraphVersion = useCallback(
|
||||
async (graphID: GraphID, version: number) => {
|
||||
if (graphVersions[version]) return graphVersions[version];
|
||||
@@ -90,20 +88,23 @@ export default function AgentRunsPage(): React.ReactElement {
|
||||
(graph && graph.version == _graph.version) || setGraph(_graph),
|
||||
);
|
||||
api.getGraphExecutions(agent.agent_id).then((agentRuns) => {
|
||||
const sortedRuns = agentRuns.toSorted(
|
||||
(a, b) => Number(b.started_at) - Number(a.started_at),
|
||||
);
|
||||
setAgentRuns(sortedRuns);
|
||||
setAgentRuns(agentRuns);
|
||||
|
||||
// Preload the corresponding graph versions
|
||||
new Set(sortedRuns.map((run) => run.graph_version)).forEach((version) =>
|
||||
new Set(agentRuns.map((run) => run.graph_version)).forEach((version) =>
|
||||
getGraphVersion(agent.agent_id, version),
|
||||
);
|
||||
|
||||
if (!selectedView.id && isFirstLoad && sortedRuns.length > 0) {
|
||||
if (!selectedView.id && isFirstLoad && agentRuns.length > 0) {
|
||||
// only for first load or first execution
|
||||
setIsFirstLoad(false);
|
||||
selectView({ type: "run", id: sortedRuns[0].id });
|
||||
|
||||
const latestRun = agentRuns.reduce((latest, current) => {
|
||||
if (latest.started_at && !current.started_at) return current;
|
||||
else if (!latest.started_at) return latest;
|
||||
return latest.started_at > current.started_at ? latest : current;
|
||||
}, agentRuns[0]);
|
||||
selectView({ type: "run", id: latestRun.id });
|
||||
}
|
||||
});
|
||||
});
|
||||
@@ -118,6 +119,39 @@ export default function AgentRunsPage(): React.ReactElement {
|
||||
fetchAgents();
|
||||
}, []);
|
||||
|
||||
// Subscribe to websocket updates for agent runs
|
||||
useEffect(() => {
|
||||
if (!agent) return;
|
||||
|
||||
// Subscribe to all executions for this agent
|
||||
api.subscribeToGraphExecutions(agent.agent_id);
|
||||
}, [api, agent]);
|
||||
|
||||
// Handle execution updates
|
||||
useEffect(() => {
|
||||
const detachExecUpdateHandler = api.onWebSocketMessage(
|
||||
"graph_execution_event",
|
||||
(data) => {
|
||||
setAgentRuns((prev) => {
|
||||
const index = prev.findIndex((run) => run.id === data.id);
|
||||
if (index === -1) {
|
||||
return [...prev, data];
|
||||
}
|
||||
const newRuns = [...prev];
|
||||
newRuns[index] = { ...newRuns[index], ...data };
|
||||
return newRuns;
|
||||
});
|
||||
if (data.id === selectedView.id) {
|
||||
setSelectedRun((prev) => ({ ...prev, ...data }));
|
||||
}
|
||||
},
|
||||
);
|
||||
|
||||
return () => {
|
||||
detachExecUpdateHandler();
|
||||
};
|
||||
}, [api, selectedView.id]);
|
||||
|
||||
// load selectedRun based on selectedView
|
||||
useEffect(() => {
|
||||
if (selectedView.type != "run" || !selectedView.id || !agent) return;
|
||||
@@ -150,12 +184,6 @@ export default function AgentRunsPage(): React.ReactElement {
|
||||
fetchSchedules();
|
||||
}, [fetchSchedules]);
|
||||
|
||||
/* TODO: use websockets instead of polling - https://github.com/Significant-Gravitas/AutoGPT/issues/8782 */
|
||||
useEffect(() => {
|
||||
const intervalId = setInterval(() => fetchAgents(), 5000);
|
||||
return () => clearInterval(intervalId);
|
||||
}, [fetchAgents]);
|
||||
|
||||
// =========================== ACTIONS ============================
|
||||
|
||||
const deleteRun = useCallback(
|
||||
@@ -199,12 +227,8 @@ export default function AgentRunsPage(): React.ReactElement {
|
||||
...(agent?.can_access_graph
|
||||
? [
|
||||
{
|
||||
label: "Open in builder",
|
||||
callback: () =>
|
||||
agent &&
|
||||
router.push(
|
||||
`/build?flowID=${agent.agent_id}&flowVersion=${agent.agent_version}`,
|
||||
),
|
||||
label: "Open graph in builder",
|
||||
href: `/build?flowID=${agent.agent_id}&flowVersion=${agent.agent_version}`,
|
||||
},
|
||||
{ label: "Export agent to file", callback: downloadGraph },
|
||||
]
|
||||
@@ -215,7 +239,7 @@ export default function AgentRunsPage(): React.ReactElement {
|
||||
callback: () => setAgentDeleteDialogOpen(true),
|
||||
},
|
||||
],
|
||||
[agent, router, downloadGraph],
|
||||
[agent, downloadGraph],
|
||||
);
|
||||
|
||||
if (!agent || !graph) {
|
||||
@@ -233,6 +257,7 @@ export default function AgentRunsPage(): React.ReactElement {
|
||||
agentRuns={agentRuns}
|
||||
schedules={schedules}
|
||||
selectedView={selectedView}
|
||||
allowDraftNewRun={!graph.has_webhook_trigger}
|
||||
onSelectRun={selectRun}
|
||||
onSelectSchedule={selectSchedule}
|
||||
onSelectDraftNewRun={openRunDraftView}
|
||||
@@ -254,9 +279,11 @@ export default function AgentRunsPage(): React.ReactElement {
|
||||
{(selectedView.type == "run" && selectedView.id ? (
|
||||
selectedRun && (
|
||||
<AgentRunDetailsView
|
||||
agent={agent}
|
||||
graph={graphVersions[selectedRun.graph_version] ?? graph}
|
||||
run={selectedRun}
|
||||
agentActions={agentActions}
|
||||
onRun={(runID) => selectRun(runID)}
|
||||
deleteRun={() => setConfirmingDeleteAgentRun(selectedRun)}
|
||||
/>
|
||||
)
|
||||
|
||||
@@ -18,7 +18,7 @@ import LibraryAgentList from "@/components/library/library-agent-list";
|
||||
|
||||
export default function LibraryPage() {
|
||||
return (
|
||||
<main className="container min-h-screen space-y-4 sm:px-8 md:px-12">
|
||||
<main className="container min-h-screen space-y-4 pb-20 sm:px-8 md:px-12">
|
||||
<LibraryPageStateProvider>
|
||||
{/* Header section containing notifications, search functionality and upload mechanism */}
|
||||
<LibraryActionHeader />
|
||||
|
||||
@@ -26,6 +26,7 @@ import {
|
||||
PasswordInput,
|
||||
} from "@/components/auth";
|
||||
import { loginFormSchema } from "@/types/auth";
|
||||
import { getBehaveAs } from "@/lib/utils";
|
||||
|
||||
export default function LoginPage() {
|
||||
const { supabase, user, isUserLoading } = useSupabase();
|
||||
@@ -147,7 +148,11 @@ export default function LoginPage() {
|
||||
Login
|
||||
</AuthButton>
|
||||
</form>
|
||||
<AuthFeedback message={feedback} isError={true} />
|
||||
<AuthFeedback
|
||||
message={feedback}
|
||||
isError={!!feedback}
|
||||
behaveAs={getBehaveAs()}
|
||||
/>
|
||||
</Form>
|
||||
<AuthBottomText
|
||||
text="Don't have an account?"
|
||||
|
||||
@@ -77,7 +77,7 @@ export default async function Page({
|
||||
<CreatorLinks links={creator.links} />
|
||||
</div>
|
||||
</div>
|
||||
<div className="mt-8 sm:mt-12 md:mt-16">
|
||||
<div className="mt-8 sm:mt-12 md:mt-16 lg:pb-[58px]">
|
||||
<hr className="w-full bg-neutral-700" />
|
||||
<AgentsSection
|
||||
agents={creatorAgents.agents}
|
||||
|
||||
@@ -100,13 +100,13 @@ const Monitor = () => {
|
||||
...(selectedFlow
|
||||
? executions.filter((v) => v.graph_id == selectedFlow.agent_id)
|
||||
: executions),
|
||||
].sort((a, b) => Number(b.started_at) - Number(a.started_at))}
|
||||
].sort((a, b) => b.started_at.getTime() - a.started_at.getTime())}
|
||||
selectedRun={selectedRun}
|
||||
onSelectRun={(r) => setSelectedRun(r.id == selectedRun?.id ? null : r)}
|
||||
/>
|
||||
{(selectedRun && (
|
||||
<FlowRunInfo
|
||||
flow={
|
||||
agent={
|
||||
selectedFlow ||
|
||||
flows.find((f) => f.agent_id == selectedRun.graph_id)!
|
||||
}
|
||||
|
||||
@@ -9,12 +9,14 @@ import StarRating from "@/components/onboarding/StarRating";
|
||||
import { Play } from "lucide-react";
|
||||
import { cn } from "@/lib/utils";
|
||||
import { useCallback, useEffect, useState } from "react";
|
||||
import OnboardingAgentInput from "@/components/onboarding/OnboardingAgentInput";
|
||||
import Image from "next/image";
|
||||
import { GraphMeta, StoreAgentDetails } from "@/lib/autogpt-server-api";
|
||||
import { useBackendAPI } from "@/lib/autogpt-server-api/context";
|
||||
import { useRouter } from "next/navigation";
|
||||
import { useOnboarding } from "@/components/onboarding/onboarding-provider";
|
||||
import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
|
||||
import SchemaTooltip from "@/components/SchemaTooltip";
|
||||
import { TypeBasedInput } from "@/components/type-based-input";
|
||||
|
||||
export default function Page() {
|
||||
const { state, updateState, setStep } = useOnboarding(
|
||||
@@ -59,7 +61,6 @@ export default function Page() {
|
||||
updateState({
|
||||
agentInput: update,
|
||||
});
|
||||
console.log("setting default input", update);
|
||||
});
|
||||
}, [api, setAgent, updateState, state?.selectedStoreListingVersionId]);
|
||||
|
||||
@@ -79,7 +80,6 @@ export default function Page() {
|
||||
if (!agent) {
|
||||
return;
|
||||
}
|
||||
console.log("running with", state?.agentInput);
|
||||
api.addMarketplaceAgentToLibrary(
|
||||
storeAgent?.store_listing_version_id || "",
|
||||
);
|
||||
@@ -196,28 +196,37 @@ export default function Page() {
|
||||
<span className="mt-4 text-base font-normal leading-normal text-zinc-600">
|
||||
When you're done, click <b>Run Agent</b>.
|
||||
</span>
|
||||
<div className="mt-12 inline-flex w-[492px] flex-col items-start justify-start gap-2 rounded-[20px] border border-zinc-300 bg-white p-6">
|
||||
<OnboardingText className="mb-3 font-semibold" variant="header">
|
||||
Input
|
||||
</OnboardingText>
|
||||
{Object.entries(agent?.input_schema?.properties || {}).map(
|
||||
([key, value]) => (
|
||||
<OnboardingAgentInput
|
||||
key={key}
|
||||
name={value.title!}
|
||||
description={value.description || ""}
|
||||
value={state?.agentInput?.[key] || ""}
|
||||
onChange={(v) => setAgentInput(key, v)}
|
||||
/>
|
||||
),
|
||||
)}
|
||||
</div>
|
||||
<Card className="agpt-box mt-4">
|
||||
<CardHeader>
|
||||
<CardTitle className="font-poppins text-lg">Input</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent className="flex flex-col gap-4">
|
||||
{Object.entries(agent?.input_schema.properties || {}).map(
|
||||
([key, inputSubSchema]) => (
|
||||
<div key={key} className="flex flex-col space-y-2">
|
||||
<label className="flex items-center gap-1 text-sm font-medium">
|
||||
{inputSubSchema.title || key}
|
||||
<SchemaTooltip
|
||||
description={inputSubSchema.description}
|
||||
/>
|
||||
</label>
|
||||
<TypeBasedInput
|
||||
schema={inputSubSchema}
|
||||
value={state?.agentInput?.[key]}
|
||||
placeholder={inputSubSchema.description}
|
||||
onChange={(value) => setAgentInput(key, value)}
|
||||
/>
|
||||
</div>
|
||||
),
|
||||
)}
|
||||
</CardContent>
|
||||
</Card>
|
||||
<OnboardingButton
|
||||
variant="violet"
|
||||
className="mt-8 w-[136px]"
|
||||
disabled={
|
||||
Object.values(state?.agentInput || {}).some(
|
||||
(value) => value.trim() === "",
|
||||
(value) => String(value).trim() === "",
|
||||
) || !agent
|
||||
}
|
||||
onClick={runAgent}
|
||||
|
||||
@@ -24,6 +24,7 @@ import { useForm } from "react-hook-form";
|
||||
import { z } from "zod";
|
||||
import { changePassword, sendResetEmail } from "./actions";
|
||||
import Spinner from "@/components/Spinner";
|
||||
import { getBehaveAs } from "@/lib/utils";
|
||||
|
||||
export default function ResetPasswordPage() {
|
||||
const { supabase, user, isUserLoading } = useSupabase();
|
||||
@@ -151,7 +152,11 @@ export default function ResetPasswordPage() {
|
||||
>
|
||||
Update password
|
||||
</AuthButton>
|
||||
<AuthFeedback message={feedback} isError={isError} />
|
||||
<AuthFeedback
|
||||
message={feedback}
|
||||
isError={isError}
|
||||
behaveAs={getBehaveAs()}
|
||||
/>
|
||||
</Form>
|
||||
</form>
|
||||
) : (
|
||||
@@ -178,7 +183,11 @@ export default function ResetPasswordPage() {
|
||||
>
|
||||
Send reset email
|
||||
</AuthButton>
|
||||
<AuthFeedback message={feedback} isError={isError} />
|
||||
<AuthFeedback
|
||||
message={feedback}
|
||||
isError={isError}
|
||||
behaveAs={getBehaveAs()}
|
||||
/>
|
||||
</Form>
|
||||
</form>
|
||||
)}
|
||||
|
||||
@@ -11,7 +11,7 @@ import {
|
||||
} from "@/components/ui/form";
|
||||
import { useForm } from "react-hook-form";
|
||||
import { Input } from "@/components/ui/input";
|
||||
import { z } from "zod";
|
||||
import type { z } from "zod";
|
||||
import { zodResolver } from "@hookform/resolvers/zod";
|
||||
import { useCallback, useState } from "react";
|
||||
import { useRouter } from "next/navigation";
|
||||
@@ -23,11 +23,12 @@ import {
|
||||
AuthCard,
|
||||
AuthHeader,
|
||||
AuthButton,
|
||||
AuthFeedback,
|
||||
AuthBottomText,
|
||||
PasswordInput,
|
||||
} from "@/components/auth";
|
||||
import AuthFeedback from "@/components/auth/AuthFeedback";
|
||||
import { signupFormSchema } from "@/types/auth";
|
||||
import { getBehaveAs } from "@/lib/utils";
|
||||
|
||||
export default function SignupPage() {
|
||||
const { supabase, user, isUserLoading } = useSupabase();
|
||||
@@ -35,7 +36,6 @@ export default function SignupPage() {
|
||||
const router = useRouter();
|
||||
const [isLoading, setIsLoading] = useState(false);
|
||||
//TODO: Remove after closed beta
|
||||
const [showWaitlistPrompt, setShowWaitlistPrompt] = useState(false);
|
||||
|
||||
const form = useForm<z.infer<typeof signupFormSchema>>({
|
||||
resolver: zodResolver(signupFormSchema),
|
||||
@@ -63,12 +63,11 @@ export default function SignupPage() {
|
||||
setFeedback("User with this email already exists");
|
||||
return;
|
||||
} else {
|
||||
setShowWaitlistPrompt(true);
|
||||
setFeedback(error);
|
||||
}
|
||||
return;
|
||||
}
|
||||
setFeedback(null);
|
||||
setShowWaitlistPrompt(false);
|
||||
},
|
||||
[form],
|
||||
);
|
||||
@@ -187,40 +186,13 @@ export default function SignupPage() {
|
||||
)}
|
||||
/>
|
||||
</form>
|
||||
<AuthFeedback message={feedback} isError={true} />
|
||||
</Form>
|
||||
{showWaitlistPrompt && (
|
||||
<div>
|
||||
<span className="mr-1 text-sm font-normal leading-normal text-red-500">
|
||||
The provided email may not be allowed to sign up.
|
||||
</span>
|
||||
<br />
|
||||
<span className="mx-1 text-sm font-normal leading-normal text-slate-950">
|
||||
- AutoGPT Platform is currently in closed beta. You can join
|
||||
</span>
|
||||
<Link
|
||||
href="https://agpt.co/waitlist"
|
||||
className="text-sm font-normal leading-normal text-slate-950 underline"
|
||||
>
|
||||
the waitlist here.
|
||||
</Link>
|
||||
<br />
|
||||
<span className="mx-1 text-sm font-normal leading-normal text-slate-950">
|
||||
- Make sure you use the same email address you used to sign up for
|
||||
the waitlist.
|
||||
</span>
|
||||
<br />
|
||||
<span className="mx-1 text-sm font-normal leading-normal text-slate-950">
|
||||
- You can self host the platform, visit our
|
||||
</span>
|
||||
<Link
|
||||
href="https://agpt.co/waitlist"
|
||||
className="text-sm font-normal leading-normal text-slate-950 underline"
|
||||
>
|
||||
GitHub repository.
|
||||
</Link>
|
||||
</div>
|
||||
)}
|
||||
<AuthFeedback
|
||||
message={feedback}
|
||||
isError={!!feedback}
|
||||
behaveAs={getBehaveAs()}
|
||||
/>
|
||||
|
||||
<AuthBottomText
|
||||
text="Already a member?"
|
||||
linkText="Log in"
|
||||
|
||||
@@ -147,14 +147,46 @@ export const CustomNode = React.memo(
|
||||
setIsAnyModalOpen?.(isModalOpen || isOutputModalOpen);
|
||||
}, [isModalOpen, isOutputModalOpen, data, setIsAnyModalOpen]);
|
||||
|
||||
useEffect(() => {
|
||||
isInitialSetup.current = false;
|
||||
const fillDefaults = useCallback((obj: any, schema: any) => {
|
||||
// Iterate over the schema properties
|
||||
for (const key in schema.properties) {
|
||||
if (schema.properties.hasOwnProperty(key)) {
|
||||
const propertySchema = schema.properties[key];
|
||||
|
||||
// If the property is not in the object, initialize it with the default value
|
||||
if (!obj.hasOwnProperty(key)) {
|
||||
if (propertySchema.default !== undefined) {
|
||||
obj[key] = propertySchema.default;
|
||||
} else if (propertySchema.type === "object") {
|
||||
// Recursively fill defaults for nested objects
|
||||
obj[key] = fillDefaults({}, propertySchema);
|
||||
} else if (propertySchema.type === "array") {
|
||||
// Recursively fill defaults for arrays
|
||||
obj[key] = fillDefaults([], propertySchema);
|
||||
}
|
||||
} else {
|
||||
// If the property exists, recursively fill defaults for nested objects/arrays
|
||||
if (propertySchema.type === "object") {
|
||||
obj[key] = fillDefaults(obj[key], propertySchema);
|
||||
} else if (propertySchema.type === "array") {
|
||||
obj[key] = fillDefaults(obj[key], propertySchema);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return obj;
|
||||
}, []);
|
||||
|
||||
const setHardcodedValues = (values: any) => {
|
||||
updateNodeData(id, { hardcodedValues: values });
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
isInitialSetup.current = false;
|
||||
setHardcodedValues(fillDefaults(data.hardcodedValues, data.inputSchema));
|
||||
}, []);
|
||||
|
||||
const setErrors = (errors: { [key: string]: string }) => {
|
||||
updateNodeData(id, { errors });
|
||||
};
|
||||
|
||||
@@ -461,37 +461,6 @@ const FlowEditor: React.FC<{
|
||||
});
|
||||
}, [nodes, setViewport, x, y]);
|
||||
|
||||
const fillDefaults = useCallback((obj: any, schema: any) => {
|
||||
// Iterate over the schema properties
|
||||
for (const key in schema.properties) {
|
||||
if (schema.properties.hasOwnProperty(key)) {
|
||||
const propertySchema = schema.properties[key];
|
||||
|
||||
// If the property is not in the object, initialize it with the default value
|
||||
if (!obj.hasOwnProperty(key)) {
|
||||
if (propertySchema.default !== undefined) {
|
||||
obj[key] = propertySchema.default;
|
||||
} else if (propertySchema.type === "object") {
|
||||
// Recursively fill defaults for nested objects
|
||||
obj[key] = fillDefaults({}, propertySchema);
|
||||
} else if (propertySchema.type === "array") {
|
||||
// Recursively fill defaults for arrays
|
||||
obj[key] = fillDefaults([], propertySchema);
|
||||
}
|
||||
} else {
|
||||
// If the property exists, recursively fill defaults for nested objects/arrays
|
||||
if (propertySchema.type === "object") {
|
||||
obj[key] = fillDefaults(obj[key], propertySchema);
|
||||
} else if (propertySchema.type === "array") {
|
||||
obj[key] = fillDefaults(obj[key], propertySchema);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return obj;
|
||||
}, []);
|
||||
|
||||
const addNode = useCallback(
|
||||
(blockId: string, nodeType: string, hardcodedValues: any = {}) => {
|
||||
const nodeSchema = availableNodes.find((node) => node.id === blockId);
|
||||
@@ -538,10 +507,7 @@ const FlowEditor: React.FC<{
|
||||
categories: nodeSchema.categories,
|
||||
inputSchema: nodeSchema.inputSchema,
|
||||
outputSchema: nodeSchema.outputSchema,
|
||||
hardcodedValues: {
|
||||
...fillDefaults({}, nodeSchema.inputSchema),
|
||||
...hardcodedValues,
|
||||
},
|
||||
hardcodedValues: hardcodedValues,
|
||||
connections: [],
|
||||
isOutputOpen: false,
|
||||
block_id: blockId,
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
import { BlockIOSubSchema } from "@/lib/autogpt-server-api/types";
|
||||
import { cn } from "@/lib/utils";
|
||||
import { beautifyString, getTypeBgColor, getTypeTextColor } from "@/lib/utils";
|
||||
import { FC, memo, useCallback } from "react";
|
||||
import { Handle, Position } from "@xyflow/react";
|
||||
@@ -11,6 +12,7 @@ type HandleProps = {
|
||||
isRequired?: boolean;
|
||||
side: "left" | "right";
|
||||
title?: string;
|
||||
className?: string;
|
||||
};
|
||||
|
||||
// Move the constant out of the component to avoid re-creation on every render.
|
||||
@@ -46,6 +48,7 @@ const NodeHandle: FC<HandleProps> = ({
|
||||
isRequired,
|
||||
side,
|
||||
title,
|
||||
className,
|
||||
}) => {
|
||||
const typeClass = `text-sm ${getTypeTextColor(schema.type || "any")} ${
|
||||
side === "left" ? "text-left" : "text-right"
|
||||
@@ -53,7 +56,12 @@ const NodeHandle: FC<HandleProps> = ({
|
||||
|
||||
const label = (
|
||||
<div className="flex flex-grow flex-row">
|
||||
<span className="text-m green flex items-end pr-2 text-gray-900 dark:text-gray-100">
|
||||
<span
|
||||
className={cn(
|
||||
"text-m green flex items-end pr-2 text-gray-900 dark:text-gray-100",
|
||||
className,
|
||||
)}
|
||||
>
|
||||
{title || schema.title || beautifyString(keyName.toLowerCase())}
|
||||
{isRequired ? "*" : ""}
|
||||
</span>
|
||||
|
||||
@@ -4,11 +4,15 @@ import React, {
|
||||
forwardRef,
|
||||
useImperativeHandle,
|
||||
} from "react";
|
||||
import RunnerOutputUI, { BlockOutput } from "./runner-ui/RunnerOutputUI";
|
||||
import RunnerInputUI from "./runner-ui/RunnerInputUI";
|
||||
import RunnerOutputUI from "./runner-ui/RunnerOutputUI";
|
||||
import { Node } from "@xyflow/react";
|
||||
import { filterBlocksByType } from "@/lib/utils";
|
||||
import { BlockIORootSchema, BlockUIType } from "@/lib/autogpt-server-api/types";
|
||||
import {
|
||||
BlockIOObjectSubSchema,
|
||||
BlockIORootSchema,
|
||||
BlockUIType,
|
||||
} from "@/lib/autogpt-server-api/types";
|
||||
import { CustomNode } from "./CustomNode";
|
||||
|
||||
interface HardcodedValues {
|
||||
@@ -16,7 +20,6 @@ interface HardcodedValues {
|
||||
description: any;
|
||||
value: any;
|
||||
placeholder_values: any;
|
||||
limit_to_placeholder_values: any;
|
||||
}
|
||||
|
||||
export interface InputItem {
|
||||
@@ -60,7 +63,11 @@ const RunnerUIWrapper = forwardRef<RunnerUIWrapperRef, RunnerUIWrapperProps>(
|
||||
const [isRunnerOutputOpen, setIsRunnerOutputOpen] = useState(false);
|
||||
const [scheduledInput, setScheduledInput] = useState(false);
|
||||
const [cronExpression, setCronExpression] = useState("");
|
||||
const getBlockInputsAndOutputs = useCallback(() => {
|
||||
|
||||
const getBlockInputsAndOutputs = useCallback((): {
|
||||
inputs: InputItem[];
|
||||
outputs: BlockOutput[];
|
||||
} => {
|
||||
const inputBlocks = filterBlocksByType(
|
||||
nodes,
|
||||
(node) => node.data.uiType === BlockUIType.INPUT,
|
||||
@@ -71,40 +78,41 @@ const RunnerUIWrapper = forwardRef<RunnerUIWrapperRef, RunnerUIWrapperProps>(
|
||||
(node) => node.data.uiType === BlockUIType.OUTPUT,
|
||||
);
|
||||
|
||||
const inputs = inputBlocks.map((node) => ({
|
||||
id: node.id,
|
||||
type: "input" as const,
|
||||
inputSchema: node.data.inputSchema as BlockIORootSchema,
|
||||
hardcodedValues: {
|
||||
name: (node.data.hardcodedValues as any).name || "",
|
||||
description: (node.data.hardcodedValues as any).description || "",
|
||||
value: (node.data.hardcodedValues as any).value,
|
||||
placeholder_values:
|
||||
(node.data.hardcodedValues as any).placeholder_values || [],
|
||||
limit_to_placeholder_values:
|
||||
(node.data.hardcodedValues as any).limit_to_placeholder_values ||
|
||||
false,
|
||||
},
|
||||
}));
|
||||
const inputs = inputBlocks.map(
|
||||
(node) =>
|
||||
({
|
||||
id: node.id,
|
||||
type: "input" as const,
|
||||
inputSchema: (node.data.inputSchema as BlockIOObjectSubSchema)
|
||||
.properties.value as BlockIORootSchema,
|
||||
hardcodedValues: {
|
||||
name: (node.data.hardcodedValues as any).name || "",
|
||||
description: (node.data.hardcodedValues as any).description || "",
|
||||
value: (node.data.hardcodedValues as any).value,
|
||||
placeholder_values:
|
||||
(node.data.hardcodedValues as any).placeholder_values || [],
|
||||
},
|
||||
}) satisfies InputItem,
|
||||
);
|
||||
|
||||
const outputs = outputBlocks.map((node) => ({
|
||||
id: node.id,
|
||||
type: "output" as const,
|
||||
hardcodedValues: {
|
||||
name: (node.data.hardcodedValues as any).name || "Output",
|
||||
description:
|
||||
(node.data.hardcodedValues as any).description ||
|
||||
"Output from the agent",
|
||||
value: (node.data.hardcodedValues as any).value,
|
||||
},
|
||||
result: (node.data.executionResults as any)?.at(-1)?.data?.output,
|
||||
}));
|
||||
const outputs = outputBlocks.map(
|
||||
(node) =>
|
||||
({
|
||||
metadata: {
|
||||
name: (node.data.hardcodedValues as any).name || "Output",
|
||||
description:
|
||||
(node.data.hardcodedValues as any).description ||
|
||||
"Output from the agent",
|
||||
},
|
||||
result: (node.data.executionResults as any)?.at(-1)?.data?.output,
|
||||
}) satisfies BlockOutput,
|
||||
);
|
||||
|
||||
return { inputs, outputs };
|
||||
}, [nodes]);
|
||||
|
||||
const handleInputChange = useCallback(
|
||||
(nodeId: string, field: string, value: string) => {
|
||||
(nodeId: string, field: string, value: any) => {
|
||||
setNodes((nds) =>
|
||||
nds.map((node) => {
|
||||
if (node.id === nodeId) {
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
import { z } from "zod";
|
||||
import { cn } from "@/lib/utils";
|
||||
import { useForm } from "react-hook-form";
|
||||
import { zodResolver } from "@hookform/resolvers/zod";
|
||||
import React, { useState } from "react";
|
||||
@@ -12,12 +13,14 @@ import {
|
||||
} from "@/components/ui/form";
|
||||
import { Input } from "@/components/ui/input";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Switch } from "@/components/ui/switch";
|
||||
import { Textarea } from "@/components/ui/textarea";
|
||||
import { Graph, GraphCreatable } from "@/lib/autogpt-server-api";
|
||||
import { cn, removeCredentials } from "@/lib/utils";
|
||||
import { EnterIcon } from "@radix-ui/react-icons";
|
||||
import { useBackendAPI } from "@/lib/autogpt-server-api/context";
|
||||
import {
|
||||
Graph,
|
||||
GraphCreatable,
|
||||
sanitizeImportedGraph,
|
||||
} from "@/lib/autogpt-server-api";
|
||||
|
||||
// Add this custom schema for File type
|
||||
const fileSchema = z.custom<File>((val) => val instanceof File, {
|
||||
@@ -31,45 +34,6 @@ const formSchema = z.object({
|
||||
importAsTemplate: z.boolean(),
|
||||
});
|
||||
|
||||
export const updatedBlockIDMap: Record<string, string> = {
|
||||
// https://github.com/Significant-Gravitas/AutoGPT/issues/8223
|
||||
"a1b2c3d4-5e6f-7g8h-9i0j-k1l2m3n4o5p6":
|
||||
"436c3984-57fd-4b85-8e9a-459b356883bd",
|
||||
"b2g2c3d4-5e6f-7g8h-9i0j-k1l2m3n4o5p6":
|
||||
"0e50422c-6dee-4145-83d6-3a5a392f65de",
|
||||
"c3d4e5f6-7g8h-9i0j-1k2l-m3n4o5p6q7r8":
|
||||
"a0a69be1-4528-491c-a85a-a4ab6873e3f0",
|
||||
"c3d4e5f6-g7h8-i9j0-k1l2-m3n4o5p6q7r8":
|
||||
"32a87eab-381e-4dd4-bdb8-4c47151be35a",
|
||||
"b2c3d4e5-6f7g-8h9i-0j1k-l2m3n4o5p6q7":
|
||||
"87840993-2053-44b7-8da4-187ad4ee518c",
|
||||
"h1i2j3k4-5l6m-7n8o-9p0q-r1s2t3u4v5w6":
|
||||
"d0822ab5-9f8a-44a3-8971-531dd0178b6b",
|
||||
"d3f4g5h6-1i2j-3k4l-5m6n-7o8p9q0r1s2t":
|
||||
"df06086a-d5ac-4abb-9996-2ad0acb2eff7",
|
||||
"h5e7f8g9-1b2c-3d4e-5f6g-7h8i9j0k1l2m":
|
||||
"f5b0f5d0-1862-4d61-94be-3ad0fa772760",
|
||||
"a1234567-89ab-cdef-0123-456789abcdef":
|
||||
"4335878a-394e-4e67-adf2-919877ff49ae",
|
||||
"f8e7d6c5-b4a3-2c1d-0e9f-8g7h6i5j4k3l":
|
||||
"f66a3543-28d3-4ab5-8945-9b336371e2ce",
|
||||
"b29c1b50-5d0e-4d9f-8f9d-1b0e6fcbf0h2":
|
||||
"716a67b3-6760-42e7-86dc-18645c6e00fc",
|
||||
"31d1064e-7446-4693-o7d4-65e5ca9110d1":
|
||||
"cc10ff7b-7753-4ff2-9af6-9399b1a7eddc",
|
||||
"c6731acb-4105-4zp1-bc9b-03d0036h370g":
|
||||
"5ebe6768-8e5d-41e3-9134-1c7bd89a8d52",
|
||||
};
|
||||
|
||||
function updateBlockIDs(graph: Graph) {
|
||||
graph.nodes
|
||||
.filter((node) => node.block_id in updatedBlockIDMap)
|
||||
.forEach((node) => {
|
||||
node.block_id = updatedBlockIDMap[node.block_id];
|
||||
});
|
||||
return graph;
|
||||
}
|
||||
|
||||
export const AgentImportForm: React.FC<
|
||||
React.FormHTMLAttributes<HTMLFormElement>
|
||||
> = ({ className, ...props }) => {
|
||||
@@ -150,12 +114,11 @@ export const AgentImportForm: React.FC<
|
||||
JSON.stringify(obj, null, 2),
|
||||
);
|
||||
}
|
||||
const agent = obj as Graph;
|
||||
removeCredentials(agent);
|
||||
updateBlockIDs(agent);
|
||||
setAgentObject(agent);
|
||||
form.setValue("agentName", agent.name);
|
||||
form.setValue("agentDescription", agent.description);
|
||||
const graph = obj as Graph;
|
||||
sanitizeImportedGraph(graph);
|
||||
setAgentObject(graph);
|
||||
form.setValue("agentName", graph.name);
|
||||
form.setValue("agentDescription", graph.description);
|
||||
} catch (error) {
|
||||
console.error("Error loading agent file:", error);
|
||||
}
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user