Playing with eventservice tests

When a batch creates a session, we need to alert the client of this. Because the sessions are created by the batch manager (not directly in response to a client action), we need to emit an event with the session id.

To accomodate this, a secondary set of sio sub/unsub/event handlers are created. These are specifically for batch events. The room is the `batch_id`.

When creating a batch, the client subscribes to this batch room.

When the batch manager creates a batch session, a `batch_session_created` event is emitted in the appropriate room.  It includes the session id. The client then may subscribe to the session room, and all socket stuff proceeds as it did before.

.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml

@@ -1,5 +1,5 @@
 name: Feature Request
-description: Contribute a idea or request a new feature
+description: Commit a idea or Request a new feature
 title: '[enhancement]: '
 labels: ['enhancement']
 # assignees:
@@ -9,14 +9,14 @@ body:
   - type: markdown
     attributes:
       value: |
-        Thanks for taking the time to fill out this feature request!
+        Thanks for taking the time to fill out this Feature request!
 
   - type: checkboxes
     attributes:
       label: Is there an existing issue for this?
       description: |
         Please make use of the [search function](https://github.com/invoke-ai/InvokeAI/labels/enhancement)
-        to see if a similar issue already exists for the feature you want to request
+        to see if a simmilar issue already exists for the feature you want to request
       options:
         - label: I have searched the existing issues
           required: true
@@ -36,7 +36,7 @@ body:
       label: What should this feature add?
       description: Please try to explain the functionality this feature should add
       placeholder: |
-        Instead of one huge text field, it would be nice to have forms for bug-reports, feature-requests, ...
+        Instead of one huge textfield, it would be nice to have forms for bug-reports, feature-requests, ...
         Great benefits with automatic labeling, assigning and other functionalitys not available in that form
         via old-fashioned markdown-templates. I would also love to see the use of a moderator bot 🤖 like
         https://github.com/marketplace/actions/issue-moderator-with-commands to auto close old issues and other things
@@ -51,6 +51,6 @@ body:
 
   - type: textarea
     attributes:
-      label: Additional Content
+      label: Aditional Content
       description: Add any other context or screenshots about the feature request here.
-      placeholder: This is a mockup of the design how I imagine it <screenshot>
+      placeholder: This is a Mockup of the design how I imagine it <screenshot>

docs/installation/030_INSTALL_CUDA_AND_ROCM.md

@@ -57,30 +57,6 @@ familiar with containerization technologies such as Docker.
 For downloads and instructions, visit the [NVIDIA CUDA Container
 Runtime Site](https://developer.nvidia.com/nvidia-container-runtime)
 
-### cuDNN Installation for 40/30 Series Optimization* (Optional)
-
-1. Find the InvokeAI folder
-2. Click on .venv folder - e.g., YourInvokeFolderHere\\.venv
-3. Click on Lib folder - e.g., YourInvokeFolderHere\\.venv\Lib
-4. Click on site-packages folder - e.g., YourInvokeFolderHere\\.venv\Lib\site-packages
-5. Click on Torch directory - e.g., YourInvokeFolderHere\InvokeAI\\.venv\Lib\site-packages\torch
-6. Click on the lib folder - e.g., YourInvokeFolderHere\\.venv\Lib\site-packages\torch\lib
-7. Copy everything inside the folder and save it elsewhere as a backup.
-8. Go to __https://developer.nvidia.com/cudnn__
-9. Login or create an Account. 
-10. Choose the newer version of cuDNN. **Note:** 
-There are two versions, 11.x or 12.x for the differents architectures(Turing,Maxwell Etc...) of GPUs.
-You can find which version you should download from [this link](https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html).
-13. Download the latest version and extract it from the download location
-14. Find the bin folder E\cudnn-windows-x86_64-__Whatever Version__\bin
-15. Copy and paste the .dll files into YourInvokeFolderHere\\.venv\Lib\site-packages\torch\lib **Make sure to copy, and not move the files**
-16. If prompted, replace any existing files 
-
-**Notes:** 
-* If no change is seen or any issues are encountered, follow the same steps as above and paste the torch/lib backup folder you made earlier and replace it. If you didn't make a backup, you can also uninstall and reinstall torch through the command line to repair this folder. 
-* This optimization is  intended for the newer version of graphics card (40/30 series) but results have been seen with older graphics card.
-
-
 ### Torch Installation
 
 When installing torch and torchvision manually with `pip`, remember to provide

installer/create_installer.sh

@@ -14,7 +14,7 @@ fi
 VERSION=$(cd ..; python -c "from invokeai.version import __version__ as version; print(version)")
 PATCH=""
 VERSION="v${VERSION}${PATCH}"
-LATEST_TAG="v3-latest"
+LATEST_TAG="v3.0-latest"
 
 echo Building installer for version $VERSION
 echo "Be certain that you're in the 'installer' directory before continuing."

invokeai/app/api/dependencies.py

@@ -1,6 +1,7 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
 from logging import Logger
+import sqlite3
 from invokeai.app.services.board_image_record_storage import (
     SqliteBoardImageRecordStorage,
 )
@@ -28,6 +29,8 @@ from ..services.invoker import Invoker
 from ..services.processor import DefaultInvocationProcessor
 from ..services.sqlite import SqliteItemStorage
 from ..services.model_manager_service import ModelManagerService
+from ..services.batch_manager import BatchManager
+from ..services.batch_manager_storage import SqliteBatchProcessStorage
 from ..services.invocation_stats import InvocationStatsService
 from .events import FastAPIEventService
 
@@ -71,18 +74,18 @@ class ApiDependencies:
         db_path.parent.mkdir(parents=True, exist_ok=True)
         db_location = str(db_path)
 
-        graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-            filename=db_location, table_name="graph_executions"
-        )
+        db_conn = sqlite3.connect(db_location, check_same_thread=False)  # TODO: figure out a better threading solution
+
+        graph_execution_manager = SqliteItemStorage[GraphExecutionState](conn=db_conn, table_name="graph_executions")
 
         urls = LocalUrlService()
-        image_record_storage = SqliteImageRecordStorage(db_location)
+        image_record_storage = SqliteImageRecordStorage(conn=db_conn)
         image_file_storage = DiskImageFileStorage(f"{output_folder}/images")
         names = SimpleNameService()
         latents = ForwardCacheLatentsStorage(DiskLatentsStorage(f"{output_folder}/latents"))
 
-        board_record_storage = SqliteBoardRecordStorage(db_location)
-        board_image_record_storage = SqliteBoardImageRecordStorage(db_location)
+        board_record_storage = SqliteBoardRecordStorage(conn=db_conn)
+        board_image_record_storage = SqliteBoardImageRecordStorage(conn=db_conn)
 
         boards = BoardService(
             services=BoardServiceDependencies(
@@ -116,15 +119,19 @@ class ApiDependencies:
             )
         )
 
+        batch_manager_storage = SqliteBatchProcessStorage(conn=db_conn)
+        batch_manager = BatchManager(batch_manager_storage)
+
         services = InvocationServices(
             model_manager=ModelManagerService(config, logger),
             events=events,
             latents=latents,
             images=images,
+            batch_manager=batch_manager,
             boards=boards,
             board_images=board_images,
             queue=MemoryInvocationQueue(),
-            graph_library=SqliteItemStorage[LibraryGraph](filename=db_location, table_name="graphs"),
+            graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs"),
             graph_execution_manager=graph_execution_manager,
             processor=DefaultInvocationProcessor(),
             configuration=config,

invokeai/app/api/routers/batches.py

@@ -0,0 +1,106 @@
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+
+from fastapi import Body, HTTPException, Path, Response
+from fastapi.routing import APIRouter
+
+from invokeai.app.services.batch_manager_storage import BatchSession, BatchSessionNotFoundException
+
+# Importing * is bad karma but needed here for node detection
+from ...invocations import *  # noqa: F401 F403
+from ...services.batch_manager import Batch, BatchProcessResponse
+from ...services.graph import Graph
+from ..dependencies import ApiDependencies
+
+batches_router = APIRouter(prefix="/v1/batches", tags=["sessions"])
+
+
+@batches_router.post(
+    "/",
+    operation_id="create_batch",
+    responses={
+        200: {"model": BatchProcessResponse},
+        400: {"description": "Invalid json"},
+    },
+)
+async def create_batch(
+    graph: Graph = Body(description="The graph to initialize the session with"),
+    batch: Batch = Body(description="Batch config to apply to the given graph"),
+) -> BatchProcessResponse:
+    """Creates a batch process"""
+    return ApiDependencies.invoker.services.batch_manager.create_batch_process(batch, graph)
+
+
+@batches_router.put(
+    "/b/{batch_process_id}/invoke",
+    operation_id="start_batch",
+    responses={
+        202: {"description": "Batch process started"},
+        404: {"description": "Batch session not found"},
+    },
+)
+async def start_batch(
+    batch_process_id: str = Path(description="ID of Batch to start"),
+) -> Response:
+    """Executes a batch process"""
+    try:
+        ApiDependencies.invoker.services.batch_manager.run_batch_process(batch_process_id)
+        return Response(status_code=202)
+    except BatchSessionNotFoundException:
+        raise HTTPException(status_code=404, detail="Batch session not found")
+
+
+@batches_router.delete(
+    "/b/{batch_process_id}",
+    operation_id="cancel_batch",
+    responses={202: {"description": "The batch is canceled"}},
+)
+async def cancel_batch(
+    batch_process_id: str = Path(description="The id of the batch process to cancel"),
+) -> Response:
+    """Cancels a batch process"""
+    ApiDependencies.invoker.services.batch_manager.cancel_batch_process(batch_process_id)
+    return Response(status_code=202)
+
+
+@batches_router.get(
+    "/incomplete",
+    operation_id="list_incomplete_batches",
+    responses={200: {"model": list[BatchProcessResponse]}},
+)
+async def list_incomplete_batches() -> list[BatchProcessResponse]:
+    """Lists incomplete batch processes"""
+    return ApiDependencies.invoker.services.batch_manager.get_incomplete_batch_processes()
+
+
+@batches_router.get(
+    "/",
+    operation_id="list_batches",
+    responses={200: {"model": list[BatchProcessResponse]}},
+)
+async def list_batches() -> list[BatchProcessResponse]:
+    """Lists all batch processes"""
+    return ApiDependencies.invoker.services.batch_manager.get_batch_processes()
+
+
+@batches_router.get(
+    "/b/{batch_process_id}",
+    operation_id="get_batch",
+    responses={200: {"model": BatchProcessResponse}},
+)
+async def get_batch(
+    batch_process_id: str = Path(description="The id of the batch process to get"),
+) -> BatchProcessResponse:
+    """Gets a Batch Process"""
+    return ApiDependencies.invoker.services.batch_manager.get_batch(batch_process_id)
+
+
+@batches_router.get(
+    "/b/{batch_process_id}/sessions",
+    operation_id="get_batch_sessions",
+    responses={200: {"model": list[BatchSession]}},
+)
+async def get_batch_sessions(
+    batch_process_id: str = Path(description="The id of the batch process to get"),
+) -> list[BatchSession]:
+    """Gets a list of batch sessions for a given batch process"""
+    return ApiDependencies.invoker.services.batch_manager.get_sessions(batch_process_id)

invokeai/app/api/routers/sessions.py

@@ -9,13 +9,7 @@ from pydantic.fields import Field
 # Importing * is bad karma but needed here for node detection
 from ...invocations import *  # noqa: F401 F403
 from ...invocations.baseinvocation import BaseInvocation
-from ...services.graph import (
-    Edge,
-    EdgeConnection,
-    Graph,
-    GraphExecutionState,
-    NodeAlreadyExecutedError,
-)
+from ...services.graph import Edge, EdgeConnection, Graph, GraphExecutionState, NodeAlreadyExecutedError
 from ...services.item_storage import PaginatedResults
 from ..dependencies import ApiDependencies
 

invokeai/app/api/sockets.py

@@ -13,11 +13,15 @@ class SocketIO:
 
     def __init__(self, app: FastAPI):
         self.__sio = SocketManager(app=app)
-        self.__sio.on("subscribe", handler=self._handle_sub)
-        self.__sio.on("unsubscribe", handler=self._handle_unsub)
 
+        self.__sio.on("subscribe_session", handler=self._handle_sub_session)
+        self.__sio.on("unsubscribe_session", handler=self._handle_unsub_session)
         local_handler.register(event_name=EventServiceBase.session_event, _func=self._handle_session_event)
 
+        self.__sio.on("subscribe_batch", handler=self._handle_sub_batch)
+        self.__sio.on("unsubscribe_batch", handler=self._handle_unsub_batch)
+        local_handler.register(event_name=EventServiceBase.batch_event, _func=self._handle_batch_event)
+
     async def _handle_session_event(self, event: Event):
         await self.__sio.emit(
             event=event[1]["event"],
@@ -25,12 +29,25 @@ class SocketIO:
             room=event[1]["data"]["graph_execution_state_id"],
         )
 
-    async def _handle_sub(self, sid, data, *args, **kwargs):
+    async def _handle_sub_session(self, sid, data, *args, **kwargs):
         if "session" in data:
             self.__sio.enter_room(sid, data["session"])
 
-        # @app.sio.on('unsubscribe')
-
-    async def _handle_unsub(self, sid, data, *args, **kwargs):
+    async def _handle_unsub_session(self, sid, data, *args, **kwargs):
         if "session" in data:
             self.__sio.leave_room(sid, data["session"])
+
+    async def _handle_batch_event(self, event: Event):
+        await self.__sio.emit(
+            event=event[1]["event"],
+            data=event[1]["data"],
+            room=event[1]["data"]["batch_id"],
+        )
+
+    async def _handle_sub_batch(self, sid, data, *args, **kwargs):
+        if "batch_id" in data:
+            self.__sio.enter_room(sid, data["batch_id"])
+
+    async def _handle_unsub_batch(self, sid, data, *args, **kwargs):
+        if "batch_id" in data:
+            self.__sio.enter_room(sid, data["batch_id"])

invokeai/app/api_app.py

@@ -24,7 +24,7 @@ import invokeai.frontend.web as web_dir
 import mimetypes
 
 from .api.dependencies import ApiDependencies
-from .api.routers import sessions, models, images, boards, board_images, app_info
+from .api.routers import sessions, batches, models, images, boards, board_images, app_info
 from .api.sockets import SocketIO
 from .invocations.baseinvocation import BaseInvocation, _InputField, _OutputField, UIConfigBase
 
@@ -90,6 +90,8 @@ async def shutdown_event():
 
 app.include_router(sessions.session_router, prefix="/api")
 
+app.include_router(batches.batches_router, prefix="/api")
+
 app.include_router(models.models_router, prefix="/api")
 
 app.include_router(images.images_router, prefix="/api")

invokeai/app/cli_app.py

@@ -5,6 +5,7 @@ import re
 import shlex
 import sys
 import time
+import sqlite3
 from typing import Union, get_type_hints, Optional
 
 from pydantic import BaseModel, ValidationError
@@ -29,6 +30,8 @@ from invokeai.app.services.image_record_storage import SqliteImageRecordStorage
 from invokeai.app.services.images import ImageService, ImageServiceDependencies
 from invokeai.app.services.resource_name import SimpleNameService
 from invokeai.app.services.urls import LocalUrlService
+from invokeai.app.services.batch_manager import BatchManager
+from invokeai.app.services.batch_manager_storage import SqliteBatchProcessStorage
 from invokeai.app.services.invocation_stats import InvocationStatsService
 from .services.default_graphs import default_text_to_image_graph_id, create_system_graphs
 from .services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsStorage
@@ -252,19 +255,18 @@ def invoke_cli():
         db_location = config.db_path
         db_location.parent.mkdir(parents=True, exist_ok=True)
 
+    db_conn = sqlite3.connect(db_location, check_same_thread=False)  # TODO: figure out a better threading solution
     logger.info(f'InvokeAI database location is "{db_location}"')
 
-    graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-        filename=db_location, table_name="graph_executions"
-    )
+    graph_execution_manager = SqliteItemStorage[GraphExecutionState](conn=db_conn, table_name="graph_executions")
 
     urls = LocalUrlService()
-    image_record_storage = SqliteImageRecordStorage(db_location)
+    image_record_storage = SqliteImageRecordStorage(conn=db_conn)
     image_file_storage = DiskImageFileStorage(f"{output_folder}/images")
     names = SimpleNameService()
 
-    board_record_storage = SqliteBoardRecordStorage(db_location)
-    board_image_record_storage = SqliteBoardImageRecordStorage(db_location)
+    board_record_storage = SqliteBoardRecordStorage(conn=db_conn)
+    board_image_record_storage = SqliteBoardImageRecordStorage(conn=db_conn)
 
     boards = BoardService(
         services=BoardServiceDependencies(
@@ -298,15 +300,19 @@ def invoke_cli():
         )
     )
 
+    batch_manager_storage = SqliteBatchProcessStorage(conn=db_conn)
+    batch_manager = BatchManager(batch_manager_storage)
+
     services = InvocationServices(
         model_manager=model_manager,
         events=events,
         latents=ForwardCacheLatentsStorage(DiskLatentsStorage(f"{output_folder}/latents")),
         images=images,
         boards=boards,
+        batch_manager=batch_manager,
         board_images=board_images,
         queue=MemoryInvocationQueue(),
-        graph_library=SqliteItemStorage[LibraryGraph](filename=db_location, table_name="graphs"),
+        graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs"),
         graph_execution_manager=graph_execution_manager,
         processor=DefaultInvocationProcessor(),
         performance_statistics=InvocationStatsService(graph_execution_manager),

invokeai/app/services/batch_manager.py

@@ -0,0 +1,215 @@
+from abc import ABC, abstractmethod
+from itertools import product
+from typing import Optional
+from uuid import uuid4
+
+from fastapi_events.handlers.local import local_handler
+from fastapi_events.typing import Event
+from pydantic import BaseModel, Field
+
+from invokeai.app.services.batch_manager_storage import (
+    Batch,
+    BatchProcess,
+    BatchProcessStorageBase,
+    BatchSession,
+    BatchSessionChanges,
+    BatchSessionNotFoundException,
+)
+from invokeai.app.services.events import EventServiceBase
+from invokeai.app.services.graph import Graph, GraphExecutionState
+from invokeai.app.services.invoker import Invoker
+
+
+class BatchProcessResponse(BaseModel):
+    batch_id: str = Field(description="ID for the batch")
+    session_ids: list[str] = Field(description="List of session IDs created for this batch")
+
+
+class BatchManagerBase(ABC):
+    @abstractmethod
+    def start(self, invoker: Invoker) -> None:
+        """Starts the BatchManager service"""
+        pass
+
+    @abstractmethod
+    def create_batch_process(self, batch: Batch, graph: Graph) -> BatchProcessResponse:
+        """Creates a batch process"""
+        pass
+
+    @abstractmethod
+    def run_batch_process(self, batch_id: str) -> None:
+        """Runs a batch process"""
+        pass
+
+    @abstractmethod
+    def cancel_batch_process(self, batch_process_id: str) -> None:
+        """Cancels a batch process"""
+        pass
+
+    @abstractmethod
+    def get_batch(self, batch_id: str) -> BatchProcessResponse:
+        """Gets a batch process"""
+        pass
+
+    @abstractmethod
+    def get_batch_processes(self) -> list[BatchProcessResponse]:
+        """Gets all batch processes"""
+        pass
+
+    @abstractmethod
+    def get_incomplete_batch_processes(self) -> list[BatchProcessResponse]:
+        """Gets all incomplete batch processes"""
+        pass
+
+    @abstractmethod
+    def get_sessions(self, batch_id: str) -> list[BatchSession]:
+        """Gets the sessions associated with a batch"""
+        pass
+
+
+class BatchManager(BatchManagerBase):
+    """Responsible for managing currently running and scheduled batch jobs"""
+
+    __invoker: Invoker
+    __batch_process_storage: BatchProcessStorageBase
+
+    def __init__(self, batch_process_storage: BatchProcessStorageBase) -> None:
+        super().__init__()
+        self.__batch_process_storage = batch_process_storage
+
+    def start(self, invoker: Invoker) -> None:
+        self.__invoker = invoker
+        local_handler.register(event_name=EventServiceBase.session_event, _func=self.on_event)
+
+    async def on_event(self, event: Event):
+        event_name = event[1]["event"]
+
+        match event_name:
+            case "graph_execution_state_complete":
+                await self._process(event, False)
+            case "invocation_error":
+                await self._process(event, True)
+
+        return event
+
+    async def _process(self, event: Event, err: bool) -> None:
+        data = event[1]["data"]
+        try:
+            batch_session = self.__batch_process_storage.get_session_by_session_id(data["graph_execution_state_id"])
+        except BatchSessionNotFoundException:
+            return None
+        changes = BatchSessionChanges(state="error" if err else "completed")
+        batch_session = self.__batch_process_storage.update_session_state(
+            batch_session.batch_id,
+            batch_session.session_id,
+            changes,
+        )
+        sessions = self.get_sessions(batch_session.batch_id)
+        batch_process = self.__batch_process_storage.get(batch_session.batch_id)
+        if not batch_process.canceled:
+            self.run_batch_process(batch_process.batch_id)
+
+    def _create_graph_execution_state(
+        self, batch_process: BatchProcess, batch_indices: tuple[int, ...]
+    ) -> GraphExecutionState:
+        graph = batch_process.graph.copy(deep=True)
+        batch = batch_process.batch
+        for index, bdl in enumerate(batch.data):
+            for bd in bdl:
+                node = graph.get_node(bd.node_path)
+                if node is None:
+                    continue
+                batch_index = batch_indices[index]
+                datum = bd.items[batch_index]
+                key = bd.field_name
+                node.__dict__[key] = datum
+                graph.update_node(bd.node_path, node)
+
+        return GraphExecutionState(graph=graph)
+
+    def run_batch_process(self, batch_id: str) -> None:
+        self.__batch_process_storage.start(batch_id)
+        batch_process = self.__batch_process_storage.get(batch_id)
+        next_batch_index = self._get_batch_index_tuple(batch_process)
+        if next_batch_index is None:
+            # finished with current run
+            if batch_process.current_run >= (batch_process.batch.runs - 1):
+                # finished with all runs
+                return
+            batch_process.current_batch_index = 0
+            batch_process.current_run += 1
+            next_batch_index = self._get_batch_index_tuple(batch_process)
+            if next_batch_index is None:
+                # shouldn't happen; satisfy types
+                return
+        # remember to increment the batch index
+        batch_process.current_batch_index += 1
+        self.__batch_process_storage.save(batch_process)
+        ges = self._create_graph_execution_state(batch_process=batch_process, batch_indices=next_batch_index)
+        next_session = self.__batch_process_storage.create_session(
+            BatchSession(
+                batch_id=batch_id,
+                session_id=str(uuid4()),
+                state="uninitialized",
+                batch_index=batch_process.current_batch_index,
+            )
+        )
+        ges.id = next_session.session_id
+        self.__invoker.services.graph_execution_manager.set(ges)
+        self.__batch_process_storage.update_session_state(
+            batch_id=next_session.batch_id,
+            session_id=next_session.session_id,
+            changes=BatchSessionChanges(state="in_progress"),
+        )
+        self.__invoker.services.events.emit_batch_session_created(next_session.batch_id, next_session.session_id)
+        self.__invoker.invoke(ges, invoke_all=True)
+
+    def create_batch_process(self, batch: Batch, graph: Graph) -> BatchProcessResponse:
+        batch_process = BatchProcess(
+            batch=batch,
+            graph=graph,
+        )
+        batch_process = self.__batch_process_storage.save(batch_process)
+        return BatchProcessResponse(
+            batch_id=batch_process.batch_id,
+            session_ids=[],
+        )
+
+    def get_sessions(self, batch_id: str) -> list[BatchSession]:
+        return self.__batch_process_storage.get_sessions_by_batch_id(batch_id)
+
+    def get_batch(self, batch_id: str) -> BatchProcess:
+        return self.__batch_process_storage.get(batch_id)
+
+    def get_batch_processes(self) -> list[BatchProcessResponse]:
+        bps = self.__batch_process_storage.get_all()
+        return self._get_batch_process_responses(bps)
+
+    def get_incomplete_batch_processes(self) -> list[BatchProcessResponse]:
+        bps = self.__batch_process_storage.get_incomplete()
+        return self._get_batch_process_responses(bps)
+
+    def cancel_batch_process(self, batch_process_id: str) -> None:
+        self.__batch_process_storage.cancel(batch_process_id)
+
+    def _get_batch_process_responses(self, batch_processes: list[BatchProcess]) -> list[BatchProcessResponse]:
+        sessions = list()
+        res: list[BatchProcessResponse] = list()
+        for bp in batch_processes:
+            sessions = self.__batch_process_storage.get_sessions_by_batch_id(bp.batch_id)
+            res.append(
+                BatchProcessResponse(
+                    batch_id=bp.batch_id,
+                    session_ids=[session.session_id for session in sessions],
+                )
+            )
+        return res
+
+    def _get_batch_index_tuple(self, batch_process: BatchProcess) -> Optional[tuple[int, ...]]:
+        batch_indices = list()
+        for batchdata in batch_process.batch.data:
+            batch_indices.append(list(range(len(batchdata[0].items))))
+        try:
+            return list(product(*batch_indices))[batch_process.current_batch_index]
+        except IndexError:
+            return None

invokeai/app/services/batch_manager_storage.py

@@ -0,0 +1,707 @@
+import sqlite3
+import threading
+import uuid
+from abc import ABC, abstractmethod
+from typing import List, Literal, Optional, Union, cast
+
+from pydantic import BaseModel, Extra, Field, StrictFloat, StrictInt, StrictStr, parse_raw_as, validator
+
+from invokeai.app.invocations.primitives import ImageField
+from invokeai.app.services.graph import Graph
+
+BatchDataType = Union[StrictStr, StrictInt, StrictFloat, ImageField]
+
+
+class BatchData(BaseModel):
+    """
+    A batch data collection.
+    """
+
+    node_path: str = Field(description="The node into which this batch data collection will be substituted.")
+    field_name: str = Field(description="The field into which this batch data collection will be substituted.")
+    items: list[BatchDataType] = Field(
+        default_factory=list, description="The list of items to substitute into the node/field."
+    )
+
+
+class Batch(BaseModel):
+    """
+    A batch, consisting of a list of a list of batch data collections.
+
+    First, each inner list[BatchData] is zipped into a single batch data collection.
+
+    Then, the final batch collection is created by taking the Cartesian product of all batch data collections.
+    """
+
+    data: list[list[BatchData]] = Field(default_factory=list, description="The list of batch data collections.")
+    runs: int = Field(default=1, description="Int stating how many times to iterate through all possible batch indices")
+
+    @validator("runs")
+    def validate_positive_runs(cls, r: int):
+        if r < 1:
+            raise ValueError("runs must be a positive integer")
+        return r
+
+    @validator("data")
+    def validate_len(cls, v: list[list[BatchData]]):
+        for batch_data in v:
+            if any(len(batch_data[0].items) != len(i.items) for i in batch_data):
+                raise ValueError("Zipped batch items must have all have same length")
+        return v
+
+    @validator("data")
+    def validate_types(cls, v: list[list[BatchData]]):
+        for batch_data in v:
+            for datum in batch_data:
+                for item in datum.items:
+                    if not all(isinstance(item, type(i)) for i in datum.items):
+                        raise TypeError("All items in a batch must have have same type")
+        return v
+
+    @validator("data")
+    def validate_unique_field_mappings(cls, v: list[list[BatchData]]):
+        paths: set[tuple[str, str]] = set()
+        count: int = 0
+        for batch_data in v:
+            for datum in batch_data:
+                paths.add((datum.node_path, datum.field_name))
+                count += 1
+        if len(paths) != count:
+            raise ValueError("Each batch data must have unique node_id and field_name")
+        return v
+
+
+def uuid_string():
+    res = uuid.uuid4()
+    return str(res)
+
+
+BATCH_SESSION_STATE = Literal["uninitialized", "in_progress", "completed", "error"]
+
+
+class BatchSession(BaseModel):
+    batch_id: str = Field(defaultdescription="The Batch to which this BatchSession is attached.")
+    session_id: str = Field(
+        default_factory=uuid_string, description="The Session to which this BatchSession is attached."
+    )
+    batch_index: int = Field(description="The index of this batch session in its parent batch process")
+    state: BATCH_SESSION_STATE = Field(default="uninitialized", description="The state of this BatchSession")
+
+
+class BatchProcess(BaseModel):
+    batch_id: str = Field(default_factory=uuid_string, description="Identifier for this batch.")
+    batch: Batch = Field(description="The Batch to apply to this session.")
+    current_batch_index: int = Field(default=0, description="The last executed batch index")
+    current_run: int = Field(default=0, description="The current run of the batch")
+    canceled: bool = Field(description="Whether or not to run sessions from this batch.", default=False)
+    graph: Graph = Field(description="The graph into which batch data will be inserted before being executed.")
+
+
+class BatchSessionChanges(BaseModel, extra=Extra.forbid):
+    state: BATCH_SESSION_STATE = Field(description="The state of this BatchSession")
+
+
+class BatchProcessNotFoundException(Exception):
+    """Raised when an Batch Process record is not found."""
+
+    def __init__(self, message="BatchProcess record not found"):
+        super().__init__(message)
+
+
+class BatchProcessSaveException(Exception):
+    """Raised when an Batch Process record cannot be saved."""
+
+    def __init__(self, message="BatchProcess record not saved"):
+        super().__init__(message)
+
+
+class BatchProcessDeleteException(Exception):
+    """Raised when an Batch Process record cannot be deleted."""
+
+    def __init__(self, message="BatchProcess record not deleted"):
+        super().__init__(message)
+
+
+class BatchSessionNotFoundException(Exception):
+    """Raised when an Batch Session record is not found."""
+
+    def __init__(self, message="BatchSession record not found"):
+        super().__init__(message)
+
+
+class BatchSessionSaveException(Exception):
+    """Raised when an Batch Session record cannot be saved."""
+
+    def __init__(self, message="BatchSession record not saved"):
+        super().__init__(message)
+
+
+class BatchSessionDeleteException(Exception):
+    """Raised when an Batch Session record cannot be deleted."""
+
+    def __init__(self, message="BatchSession record not deleted"):
+        super().__init__(message)
+
+
+class BatchProcessStorageBase(ABC):
+    """Low-level service responsible for interfacing with the Batch Process record store."""
+
+    @abstractmethod
+    def delete(self, batch_id: str) -> None:
+        """Deletes a BatchProcess record."""
+        pass
+
+    @abstractmethod
+    def save(
+        self,
+        batch_process: BatchProcess,
+    ) -> BatchProcess:
+        """Saves a BatchProcess record."""
+        pass
+
+    @abstractmethod
+    def get(
+        self,
+        batch_id: str,
+    ) -> BatchProcess:
+        """Gets a BatchProcess record."""
+        pass
+
+    @abstractmethod
+    def get_all(
+        self,
+    ) -> list[BatchProcess]:
+        """Gets a BatchProcess record."""
+        pass
+
+    @abstractmethod
+    def get_incomplete(
+        self,
+    ) -> list[BatchProcess]:
+        """Gets a BatchProcess record."""
+        pass
+
+    @abstractmethod
+    def start(
+        self,
+        batch_id: str,
+    ) -> None:
+        """'Starts' a BatchProcess record by marking its `canceled` attribute to False."""
+        pass
+
+    @abstractmethod
+    def cancel(
+        self,
+        batch_id: str,
+    ) -> None:
+        """'Cancels' a BatchProcess record by setting its `canceled` attribute to True."""
+        pass
+
+    @abstractmethod
+    def create_session(
+        self,
+        session: BatchSession,
+    ) -> BatchSession:
+        """Creates a BatchSession attached to a BatchProcess."""
+        pass
+
+    @abstractmethod
+    def create_sessions(
+        self,
+        sessions: list[BatchSession],
+    ) -> list[BatchSession]:
+        """Creates many BatchSessions attached to a BatchProcess."""
+        pass
+
+    @abstractmethod
+    def get_session_by_session_id(self, session_id: str) -> BatchSession:
+        """Gets a BatchSession by session_id"""
+        pass
+
+    @abstractmethod
+    def get_sessions_by_batch_id(self, batch_id: str) -> List[BatchSession]:
+        """Gets all BatchSession's for a given BatchProcess id."""
+        pass
+
+    @abstractmethod
+    def get_sessions_by_session_ids(self, session_ids: list[str]) -> List[BatchSession]:
+        """Gets all BatchSession's for a given list of session ids."""
+        pass
+
+    @abstractmethod
+    def get_next_session(self, batch_id: str) -> BatchSession:
+        """Gets the next BatchSession with state `uninitialized`, for a given BatchProcess id."""
+        pass
+
+    @abstractmethod
+    def update_session_state(
+        self,
+        batch_id: str,
+        session_id: str,
+        changes: BatchSessionChanges,
+    ) -> BatchSession:
+        """Updates the state of a BatchSession record."""
+        pass
+
+
+class SqliteBatchProcessStorage(BatchProcessStorageBase):
+    _conn: sqlite3.Connection
+    _cursor: sqlite3.Cursor
+    _lock: threading.Lock
+
+    def __init__(self, conn: sqlite3.Connection) -> None:
+        super().__init__()
+        self._conn = conn
+        # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
+        self._conn.row_factory = sqlite3.Row
+        self._cursor = self._conn.cursor()
+        self._lock = threading.Lock()
+
+        try:
+            self._lock.acquire()
+            # Enable foreign keys
+            self._conn.execute("PRAGMA foreign_keys = ON;")
+            self._create_tables()
+            self._conn.commit()
+        finally:
+            self._lock.release()
+
+    def _create_tables(self) -> None:
+        """Creates the `batch_process` table and `batch_session` junction table."""
+
+        # Create the `batch_process` table.
+        self._cursor.execute(
+            """--sql
+            CREATE TABLE IF NOT EXISTS batch_process (
+                batch_id TEXT NOT NULL PRIMARY KEY,
+                batch TEXT NOT NULL,
+                graph TEXT NOT NULL,
+                current_batch_index NUMBER NOT NULL,
+                current_run NUMBER NOT NULL,
+                canceled BOOLEAN NOT NULL DEFAULT(0),
+                created_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')),
+                -- Updated via trigger
+                updated_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')),
+                -- Soft delete, currently unused
+                deleted_at DATETIME
+            );
+            """
+        )
+
+        self._cursor.execute(
+            """--sql
+            CREATE INDEX IF NOT EXISTS idx_batch_process_created_at ON batch_process (created_at);
+            """
+        )
+
+        # Add trigger for `updated_at`.
+        self._cursor.execute(
+            """--sql
+            CREATE TRIGGER IF NOT EXISTS tg_batch_process_updated_at
+            AFTER UPDATE
+            ON batch_process FOR EACH ROW
+            BEGIN
+                UPDATE batch_process SET updated_at = current_timestamp
+                    WHERE batch_id = old.batch_id;
+            END;
+            """
+        )
+
+        # Create the `batch_session` junction table.
+        self._cursor.execute(
+            """--sql
+            CREATE TABLE IF NOT EXISTS batch_session (
+                batch_id TEXT NOT NULL,
+                session_id TEXT NOT NULL,
+                state TEXT NOT NULL,
+                batch_index NUMBER NOT NULL,
+                created_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')),
+                -- updated via trigger
+                updated_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')),
+                -- Soft delete, currently unused
+                deleted_at DATETIME,
+                -- enforce one-to-many relationship between batch_process and batch_session using PK
+                -- (we can extend this to many-to-many later)
+                PRIMARY KEY (batch_id,session_id),
+                FOREIGN KEY (batch_id) REFERENCES batch_process (batch_id) ON DELETE CASCADE
+            );
+            """
+        )
+
+        # Add index for batch id
+        self._cursor.execute(
+            """--sql
+            CREATE INDEX IF NOT EXISTS idx_batch_session_batch_id ON batch_session (batch_id);
+            """
+        )
+
+        # Add index for batch id, sorted by created_at
+        self._cursor.execute(
+            """--sql
+            CREATE INDEX IF NOT EXISTS idx_batch_session_batch_id_created_at ON batch_session (batch_id,created_at);
+            """
+        )
+
+        # Add trigger for `updated_at`.
+        self._cursor.execute(
+            """--sql
+            CREATE TRIGGER IF NOT EXISTS tg_batch_session_updated_at
+            AFTER UPDATE
+            ON batch_session FOR EACH ROW
+            BEGIN
+                UPDATE batch_session SET updated_at = STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')
+                    WHERE batch_id = old.batch_id AND session_id = old.session_id;
+            END;
+            """
+        )
+
+    def delete(self, batch_id: str) -> None:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                DELETE FROM batch_process
+                WHERE batch_id = ?;
+                """,
+                (batch_id,),
+            )
+            self._conn.commit()
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchProcessDeleteException from e
+        except Exception as e:
+            self._conn.rollback()
+            raise BatchProcessDeleteException from e
+        finally:
+            self._lock.release()
+
+    def save(
+        self,
+        batch_process: BatchProcess,
+    ) -> BatchProcess:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                INSERT OR REPLACE INTO batch_process (batch_id, batch, graph, current_batch_index, current_run)
+                VALUES (?, ?, ?, ?, ?);
+                """,
+                (
+                    batch_process.batch_id,
+                    batch_process.batch.json(),
+                    batch_process.graph.json(),
+                    batch_process.current_batch_index,
+                    batch_process.current_run,
+                ),
+            )
+            self._conn.commit()
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchProcessSaveException from e
+        finally:
+            self._lock.release()
+        return self.get(batch_process.batch_id)
+
+    def _deserialize_batch_process(self, session_dict: dict) -> BatchProcess:
+        """Deserializes a batch session."""
+
+        # Retrieve all the values, setting "reasonable" defaults if they are not present.
+
+        batch_id = session_dict.get("batch_id", "unknown")
+        batch_raw = session_dict.get("batch", "unknown")
+        graph_raw = session_dict.get("graph", "unknown")
+        current_batch_index = session_dict.get("current_batch_index", 0)
+        current_run = session_dict.get("current_run", 0)
+        canceled = session_dict.get("canceled", 0)
+        return BatchProcess(
+            batch_id=batch_id,
+            batch=parse_raw_as(Batch, batch_raw),
+            graph=parse_raw_as(Graph, graph_raw),
+            current_batch_index=current_batch_index,
+            current_run=current_run,
+            canceled=canceled == 1,
+        )
+
+    def get(
+        self,
+        batch_id: str,
+    ) -> BatchProcess:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                SELECT *
+                FROM batch_process
+                WHERE batch_id = ?;
+                """,
+                (batch_id,),
+            )
+
+            result = cast(Union[sqlite3.Row, None], self._cursor.fetchone())
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchProcessNotFoundException from e
+        finally:
+            self._lock.release()
+        if result is None:
+            raise BatchProcessNotFoundException
+        return self._deserialize_batch_process(dict(result))
+
+    def get_all(
+        self,
+    ) -> list[BatchProcess]:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                SELECT *
+                FROM batch_process
+                """
+            )
+
+            result = cast(list[sqlite3.Row], self._cursor.fetchall())
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchProcessNotFoundException from e
+        finally:
+            self._lock.release()
+        if result is None:
+            return list()
+        return list(map(lambda r: self._deserialize_batch_process(dict(r)), result))
+
+    def get_incomplete(
+        self,
+    ) -> list[BatchProcess]:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                SELECT bp.*
+                FROM batch_process bp
+                WHERE bp.batch_id IN
+                (
+                SELECT batch_id
+                FROM batch_session bs
+                WHERE state IN ('uninitialized', 'in_progress')
+                );
+                """
+            )
+
+            result = cast(list[sqlite3.Row], self._cursor.fetchall())
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchProcessNotFoundException from e
+        finally:
+            self._lock.release()
+        if result is None:
+            return list()
+        return list(map(lambda r: self._deserialize_batch_process(dict(r)), result))
+
+    def start(
+        self,
+        batch_id: str,
+    ) -> None:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                UPDATE batch_process
+                SET canceled = 0
+                WHERE batch_id = ?;
+                """,
+                (batch_id,),
+            )
+            self._conn.commit()
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchSessionSaveException from e
+        finally:
+            self._lock.release()
+
+    def cancel(
+        self,
+        batch_id: str,
+    ) -> None:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                UPDATE batch_process
+                SET canceled = 1
+                WHERE batch_id = ?;
+                """,
+                (batch_id,),
+            )
+            self._conn.commit()
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchSessionSaveException from e
+        finally:
+            self._lock.release()
+
+    def create_session(
+        self,
+        session: BatchSession,
+    ) -> BatchSession:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                INSERT OR IGNORE INTO batch_session (batch_id, session_id, state, batch_index)
+                VALUES (?, ?, ?, ?);
+                """,
+                (session.batch_id, session.session_id, session.state, session.batch_index),
+            )
+            self._conn.commit()
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchSessionSaveException from e
+        finally:
+            self._lock.release()
+        return self.get_session_by_session_id(session.session_id)
+
+    def create_sessions(
+        self,
+        sessions: list[BatchSession],
+    ) -> list[BatchSession]:
+        try:
+            self._lock.acquire()
+            session_data = [(session.batch_id, session.session_id, session.state) for session in sessions]
+            self._cursor.executemany(
+                """--sql
+                INSERT OR IGNORE INTO batch_session (batch_id, session_id, state, batch_index)
+                VALUES (?, ?, ?, ?);
+                """,
+                session_data,
+            )
+            self._conn.commit()
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchSessionSaveException from e
+        finally:
+            self._lock.release()
+        return self.get_sessions_by_session_ids([session.session_id for session in sessions])
+
+    def get_session_by_session_id(self, session_id: str) -> BatchSession:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                SELECT *
+                FROM batch_session
+                WHERE session_id= ?;
+                """,
+                (session_id,),
+            )
+
+            result = cast(Union[sqlite3.Row, None], self._cursor.fetchone())
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchSessionNotFoundException from e
+        finally:
+            self._lock.release()
+        if result is None:
+            raise BatchSessionNotFoundException
+        return self._deserialize_batch_session(dict(result))
+
+    def _deserialize_batch_session(self, session_dict: dict) -> BatchSession:
+        """Deserializes a batch session."""
+
+        return BatchSession.parse_obj(session_dict)
+
+    def get_next_session(self, batch_id: str) -> BatchSession:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                SELECT *
+                FROM batch_session
+                WHERE batch_id = ? AND state = 'uninitialized';
+                """,
+                (batch_id,),
+            )
+
+            result = cast(Optional[sqlite3.Row], self._cursor.fetchone())
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchSessionNotFoundException from e
+        finally:
+            self._lock.release()
+        if result is None:
+            raise BatchSessionNotFoundException
+        session = self._deserialize_batch_session(dict(result))
+        return session
+
+    def get_sessions_by_batch_id(self, batch_id: str) -> List[BatchSession]:
+        try:
+            self._lock.acquire()
+            self._cursor.execute(
+                """--sql
+                SELECT *
+                FROM batch_session
+                WHERE batch_id = ?;
+                """,
+                (batch_id,),
+            )
+
+            result = cast(list[sqlite3.Row], self._cursor.fetchall())
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchSessionNotFoundException from e
+        finally:
+            self._lock.release()
+        if result is None:
+            raise BatchSessionNotFoundException
+        sessions = list(map(lambda r: self._deserialize_batch_session(dict(r)), result))
+        return sessions
+
+    def get_sessions_by_session_ids(self, session_ids: list[str]) -> List[BatchSession]:
+        try:
+            self._lock.acquire()
+            placeholders = ",".join("?" * len(session_ids))
+            self._cursor.execute(
+                f"""--sql
+                SELECT * FROM batch_session
+                WHERE session_id
+                IN ({placeholders})
+                """,
+                tuple(session_ids),
+            )
+
+            result = cast(list[sqlite3.Row], self._cursor.fetchall())
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchSessionNotFoundException from e
+        finally:
+            self._lock.release()
+        if result is None:
+            raise BatchSessionNotFoundException
+        sessions = list(map(lambda r: self._deserialize_batch_session(dict(r)), result))
+        return sessions
+
+    def update_session_state(
+        self,
+        batch_id: str,
+        session_id: str,
+        changes: BatchSessionChanges,
+    ) -> BatchSession:
+        try:
+            self._lock.acquire()
+
+            # Change the state of a batch session
+            if changes.state is not None:
+                self._cursor.execute(
+                    """--sql
+                    UPDATE batch_session
+                    SET state = ?
+                    WHERE batch_id = ? AND session_id = ?;
+                    """,
+                    (changes.state, batch_id, session_id),
+                )
+                self._conn.commit()
+        except sqlite3.Error as e:
+            self._conn.rollback()
+            raise BatchSessionSaveException from e
+        finally:
+            self._lock.release()
+        return self.get_session_by_session_id(session_id)

invokeai/app/services/board_image_record_storage.py

@@ -56,15 +56,13 @@ class BoardImageRecordStorageBase(ABC):
 
 
 class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
-    _filename: str
     _conn: sqlite3.Connection
     _cursor: sqlite3.Cursor
     _lock: threading.Lock
 
-    def __init__(self, filename: str) -> None:
+    def __init__(self, conn: sqlite3.Connection) -> None:
         super().__init__()
-        self._filename = filename
-        self._conn = sqlite3.connect(filename, check_same_thread=False)
+        self._conn = conn
         # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
         self._conn.row_factory = sqlite3.Row
         self._cursor = self._conn.cursor()

invokeai/app/services/board_record_storage.py

@@ -89,15 +89,13 @@ class BoardRecordStorageBase(ABC):
 
 
 class SqliteBoardRecordStorage(BoardRecordStorageBase):
-    _filename: str
     _conn: sqlite3.Connection
     _cursor: sqlite3.Cursor
     _lock: threading.Lock
 
-    def __init__(self, filename: str) -> None:
+    def __init__(self, conn: sqlite3.Connection) -> None:
         super().__init__()
-        self._filename = filename
-        self._conn = sqlite3.connect(filename, check_same_thread=False)
+        self._conn = conn
         # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
         self._conn.row_factory = sqlite3.Row
         self._cursor = self._conn.cursor()

invokeai/app/services/events.py

@@ -13,6 +13,7 @@ from invokeai.app.services.model_manager_service import (
 
 class EventServiceBase:
     session_event: str = "session_event"
+    batch_event: str = "batch_event"
 
     """Basic event bus, to have an empty stand-in when not needed"""
 
@@ -20,12 +21,21 @@ class EventServiceBase:
         pass
 
     def __emit_session_event(self, event_name: str, payload: dict) -> None:
+        """Session events are emitted to a room with the session_id as the room name"""
         payload["timestamp"] = get_timestamp()
         self.dispatch(
             event_name=EventServiceBase.session_event,
             payload=dict(event=event_name, data=payload),
         )
 
+    def __emit_batch_event(self, event_name: str, payload: dict) -> None:
+        """Batch events are emitted to a room with the batch_id as the room name"""
+        payload["timestamp"] = get_timestamp()
+        self.dispatch(
+            event_name=EventServiceBase.batch_event,
+            payload=dict(event=event_name, data=payload),
+        )
+
     # Define events here for every event in the system.
     # This will make them easier to integrate until we find a schema generator.
     def emit_generator_progress(
@@ -187,3 +197,14 @@ class EventServiceBase:
                 error=error,
             ),
         )
+
+    def emit_batch_session_created(
+        self,
+        batch_id: str,
+        graph_execution_state_id: str,
+    ) -> None:
+        """Emitted when a batch session is created"""
+        self.__emit_batch_event(
+            event_name="batch_session_created",
+            payload=dict(batch_id=batch_id, graph_execution_state_id=graph_execution_state_id),
+        )

invokeai/app/services/image_record_storage.py

@@ -152,15 +152,13 @@ class ImageRecordStorageBase(ABC):
 
 
 class SqliteImageRecordStorage(ImageRecordStorageBase):
-    _filename: str
     _conn: sqlite3.Connection
     _cursor: sqlite3.Cursor
     _lock: threading.Lock
 
-    def __init__(self, filename: str) -> None:
+    def __init__(self, conn: sqlite3.Connection) -> None:
         super().__init__()
-        self._filename = filename
-        self._conn = sqlite3.connect(filename, check_same_thread=False)
+        self._conn = conn
         # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
         self._conn.row_factory = sqlite3.Row
         self._cursor = self._conn.cursor()

invokeai/app/services/invocation_services.py

@@ -4,6 +4,7 @@ from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
     from logging import Logger
+    from invokeai.app.services.batch_manager import BatchManagerBase
     from invokeai.app.services.board_images import BoardImagesServiceABC
     from invokeai.app.services.boards import BoardServiceABC
     from invokeai.app.services.images import ImageServiceABC
@@ -22,6 +23,7 @@ class InvocationServices:
     """Services that can be used by invocations"""
 
     # TODO: Just forward-declared everything due to circular dependencies. Fix structure.
+    batch_manager: "BatchManagerBase"
     board_images: "BoardImagesServiceABC"
     boards: "BoardServiceABC"
     configuration: "InvokeAIAppConfig"
@@ -38,6 +40,7 @@ class InvocationServices:
 
     def __init__(
         self,
+        batch_manager: "BatchManagerBase",
         board_images: "BoardImagesServiceABC",
         boards: "BoardServiceABC",
         configuration: "InvokeAIAppConfig",
@@ -52,6 +55,7 @@ class InvocationServices:
         performance_statistics: "InvocationStatsServiceBase",
         queue: "InvocationQueueABC",
     ):
+        self.batch_manager = batch_manager
         self.board_images = board_images
         self.boards = boards
         self.boards = boards

invokeai/app/services/sqlite.py

@@ -12,23 +12,19 @@ sqlite_memory = ":memory:"
 
 
 class SqliteItemStorage(ItemStorageABC, Generic[T]):
-    _filename: str
     _table_name: str
     _conn: sqlite3.Connection
     _cursor: sqlite3.Cursor
     _id_field: str
     _lock: Lock
 
-    def __init__(self, filename: str, table_name: str, id_field: str = "id"):
+    def __init__(self, conn: sqlite3.Connection, table_name: str, id_field: str = "id"):
         super().__init__()
 
-        self._filename = filename
         self._table_name = table_name
         self._id_field = id_field  # TODO: validate that T has this field
         self._lock = Lock()
-        self._conn = sqlite3.connect(
-            self._filename, check_same_thread=False
-        )  # TODO: figure out a better threading solution
+        self._conn = conn
         self._cursor = self._conn.cursor()
 
         self._create_table()
@@ -49,8 +45,7 @@ class SqliteItemStorage(ItemStorageABC, Generic[T]):
 
     def _parse_item(self, item: str) -> T:
         item_type = get_args(self.__orig_class__)[0]
-        parsed = parse_raw_as(item_type, item)
-        return parsed
+        return parse_raw_as(item_type, item)
 
     def set(self, item: T):
         try:

invokeai/frontend/web/dist/index.html

@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-f83c2c5c.js"></script>
+    <script type="module" crossorigin src="./assets/index-08cda350.js"></script>
   </head>
 
   <body dir="ltr">

invokeai/frontend/web/dist/locales/en.json

@@ -511,7 +511,6 @@
         "maskBlur": "Blur",
         "maskBlurMethod": "Blur Method",
         "coherencePassHeader": "Coherence Pass",
-        "coherenceMode": "Mode",
         "coherenceSteps": "Steps",
         "coherenceStrength": "Strength",
         "seamLowThreshold": "Low",
@@ -521,7 +520,6 @@
         "scaledHeight": "Scaled H",
         "infillMethod": "Infill Method",
         "tileSize": "Tile Size",
-        "patchmatchDownScaleSize": "Downscale",
         "boundingBoxHeader": "Bounding Box",
         "seamCorrectionHeader": "Seam Correction",
         "infillScalingHeader": "Infill and Scaling",

invokeai/frontend/web/src/app/types/invokeai.ts

@@ -45,7 +45,6 @@ export type AppConfig = {
    * Whether or not we should update image urls when image loading errors
    */
   shouldUpdateImagesOnConnect: boolean;
-  shouldFetchMetadataFromApi: boolean;
   disabledTabs: InvokeTabName[];
   disabledFeatures: AppFeature[];
   disabledSDFeatures: SDFeature[];

invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx

@@ -27,7 +27,7 @@ import {
   setShouldShowImageDetails,
   setShouldShowProgressInViewer,
 } from 'features/ui/store/uiSlice';
-import { memo, useCallback, useMemo } from 'react';
+import { memo, useCallback } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import {
@@ -49,7 +49,7 @@ import SingleSelectionMenuItems from '../ImageContextMenu/SingleSelectionMenuIte
 
 const currentImageButtonsSelector = createSelector(
   [stateSelector, activeTabNameSelector],
-  ({ gallery, system, ui, config }, activeTabName) => {
+  ({ gallery, system, ui }, activeTabName) => {
     const { isProcessing, isConnected, shouldConfirmOnDelete, progressImage } =
       system;
 
@@ -59,8 +59,6 @@ const currentImageButtonsSelector = createSelector(
       shouldShowProgressInViewer,
     } = ui;
 
-    const { shouldFetchMetadataFromApi } = config;
-
     const lastSelectedImage = gallery.selection[gallery.selection.length - 1];
 
     return {
@@ -74,7 +72,6 @@ const currentImageButtonsSelector = createSelector(
       shouldHidePreview,
       shouldShowProgressInViewer,
       lastSelectedImage,
-      shouldFetchMetadataFromApi,
     };
   },
   {
@@ -95,7 +92,6 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
     shouldShowImageDetails,
     lastSelectedImage,
     shouldShowProgressInViewer,
-    shouldFetchMetadataFromApi,
   } = useAppSelector(currentImageButtonsSelector);
 
   const isUpscalingEnabled = useFeatureStatus('upscaling').isFeatureEnabled;
@@ -110,16 +106,8 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
     lastSelectedImage?.image_name ?? skipToken
   );
 
-  const getMetadataArg = useMemo(() => {
-    if (lastSelectedImage) {
-      return { image: lastSelectedImage, shouldFetchMetadataFromApi };
-    } else {
-      return skipToken;
-    }
-  }, [lastSelectedImage, shouldFetchMetadataFromApi]);
-
   const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery(
-    getMetadataArg,
+    lastSelectedImage ?? skipToken,
     {
       selectFromResult: (res) => ({
         isLoading: res.isFetching,

invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx

@@ -1,6 +1,6 @@
 import { Flex, MenuItem, Spinner } from '@chakra-ui/react';
 import { useAppToaster } from 'app/components/Toaster';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch } from 'app/store/storeHooks';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import {
   imagesToChangeSelected,
@@ -34,7 +34,6 @@ import {
 import { ImageDTO } from 'services/api/types';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
 import { workflowLoadRequested } from 'features/nodes/store/actions';
-import { configSelector } from '../../../system/store/configSelectors';
 
 type SingleSelectionMenuItemsProps = {
   imageDTO: ImageDTO;
@@ -49,10 +48,9 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
   const toaster = useAppToaster();
 
   const isCanvasEnabled = useFeatureStatus('unifiedCanvas').isFeatureEnabled;
-  const { shouldFetchMetadataFromApi } = useAppSelector(configSelector);
 
   const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery(
-    { image: imageDTO, shouldFetchMetadataFromApi },
+    imageDTO,
     {
       selectFromResult: (res) => ({
         isLoading: res.isFetching,

invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx

@@ -15,8 +15,6 @@ import { useGetImageMetadataFromFileQuery } from 'services/api/endpoints/images'
 import { ImageDTO } from 'services/api/types';
 import DataViewer from './DataViewer';
 import ImageMetadataActions from './ImageMetadataActions';
-import { useAppSelector } from '../../../../app/store/storeHooks';
-import { configSelector } from '../../../system/store/configSelectors';
 
 type ImageMetadataViewerProps = {
   image: ImageDTO;
@@ -29,17 +27,12 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => {
   //   dispatch(setShouldShowImageDetails(false));
   // });
 
-  const { shouldFetchMetadataFromApi } = useAppSelector(configSelector);
-
-  const { metadata, workflow } = useGetImageMetadataFromFileQuery(
-    { image, shouldFetchMetadataFromApi },
-    {
-      selectFromResult: (res) => ({
-        metadata: res?.currentData?.metadata,
-        workflow: res?.currentData?.workflow,
-      }),
-    }
-  );
+  const { metadata, workflow } = useGetImageMetadataFromFileQuery(image, {
+    selectFromResult: (res) => ({
+      metadata: res?.currentData?.metadata,
+      workflow: res?.currentData?.workflow,
+    }),
+  });
 
   return (
     <Flex

invokeai/frontend/web/src/features/system/store/configSlice.ts

@@ -5,7 +5,6 @@ import { merge } from 'lodash-es';
 
 export const initialConfigState: AppConfig = {
   shouldUpdateImagesOnConnect: false,
-  shouldFetchMetadataFromApi: false,
   disabledTabs: [],
   disabledFeatures: ['lightbox', 'faceRestore', 'batches'],
   disabledSDFeatures: [

invokeai/frontend/web/src/services/api/endpoints/images.ts

@@ -1,5 +1,4 @@
 import { EntityState, Update } from '@reduxjs/toolkit';
-import { fetchBaseQuery } from '@reduxjs/toolkit/dist/query';
 import { PatchCollection } from '@reduxjs/toolkit/dist/query/core/buildThunks';
 import {
   ASSETS_CATEGORIES,
@@ -7,14 +6,9 @@ import {
   IMAGE_CATEGORIES,
   IMAGE_LIMIT,
 } from 'features/gallery/store/types';
-import {
-  ImageMetadataAndWorkflow,
-  zCoreMetadata,
-} from 'features/nodes/types/types';
 import { getMetadataAndWorkflowFromImageBlob } from 'features/nodes/util/getMetadataAndWorkflowFromImageBlob';
 import { keyBy } from 'lodash-es';
 import { ApiFullTagDescription, LIST_TAG, api } from '..';
-import { $authToken, $projectId } from '../client';
 import { components, paths } from '../schema';
 import {
   DeleteBoardResult,
@@ -33,6 +27,9 @@ import {
   imagesSelectors,
 } from '../util';
 import { boardsApi } from './boards';
+import { ImageMetadataAndWorkflow } from 'features/nodes/types/types';
+import { fetchBaseQuery } from '@reduxjs/toolkit/dist/query';
+import { $authToken, $projectId } from '../client';
 
 export const imagesApi = api.injectEndpoints({
   endpoints: (build) => ({
@@ -120,16 +117,8 @@ export const imagesApi = api.injectEndpoints({
       ],
       keepUnusedDataFor: 86400, // 24 hours
     }),
-    getImageMetadataFromFile: build.query<
-      ImageMetadataAndWorkflow,
-      { image: ImageDTO; shouldFetchMetadataFromApi: boolean }
-    >({
-      queryFn: async (
-        args: { image: ImageDTO; shouldFetchMetadataFromApi: boolean },
-        api,
-        extraOptions,
-        fetchWithBaseQuery
-      ) => {
+    getImageMetadataFromFile: build.query<ImageMetadataAndWorkflow, ImageDTO>({
+      queryFn: async (args: ImageDTO, api, extraOptions) => {
         const authToken = $authToken.get();
         const projectId = $projectId.get();
         const customBaseQuery = fetchBaseQuery({
@@ -150,35 +139,17 @@ export const imagesApi = api.injectEndpoints({
         });
 
         const response = await customBaseQuery(
-          args.image.image_url,
+          args.image_url,
           api,
           extraOptions
         );
-        const blobData = await getMetadataAndWorkflowFromImageBlob(
+        const data = await getMetadataAndWorkflowFromImageBlob(
           response.data as Blob
         );
-
-        let metadata = blobData.metadata;
-
-        if (args.shouldFetchMetadataFromApi) {
-          const metadataResponse = await fetchWithBaseQuery(
-            `images/i/${args.image.image_name}/metadata`
-          );
-          if (metadataResponse.data) {
-            const metadataResult = zCoreMetadata.safeParse(
-              // eslint-disable-next-line @typescript-eslint/no-explicit-any
-              (metadataResponse.data as any)?.metadata
-            );
-            if (metadataResult.success) {
-              metadata = metadataResult.data;
-            }
-          }
-        }
-
-        return { data: { ...blobData, metadata } };
+        return { data };
       },
-      providesTags: (result, error, { image }) => [
-        { type: 'ImageMetadataFromFile', id: image.image_name },
+      providesTags: (result, error, image_dto) => [
+        { type: 'ImageMetadataFromFile', id: image_dto.image_name },
       ],
       keepUnusedDataFor: 86400, // 24 hours
     }),

invokeai/version/invokeai_version.py

@@ -1 +1 @@
-__version__ = "3.1.1"
+__version__ = "3.1.0"

pyproject.toml

@@ -102,6 +102,7 @@ dependencies = [
   "flake8",
   "Flake8-pyproject",
   "pytest>6.0.0",
+  "pytest-asyncio",
   "pytest-cov",
   "pytest-datadir",
 ]
@@ -176,6 +177,7 @@ version = { attr = "invokeai.version.__version__" }
 #=== Begin: PyTest and Coverage
 [tool.pytest.ini_options]
 addopts = "--cov-report term --cov-report html --cov-report xml"
+asyncio_mode = "auto"
 [tool.coverage.run]
 branch = true
 source = ["invokeai"]

tests/nodes/test_graph_execution_state.py

@@ -25,6 +25,7 @@ from invokeai.app.services.graph import (
     LibraryGraph,
 )
 import pytest
+import sqlite3
 
 
 @pytest.fixture
@@ -42,9 +43,8 @@ def simple_graph():
 @pytest.fixture
 def mock_services() -> InvocationServices:
     # NOTE: none of these are actually called by the test invocations
-    graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-        filename=sqlite_memory, table_name="graph_executions"
-    )
+    db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False)
+    graph_execution_manager = SqliteItemStorage[GraphExecutionState](conn=db_conn, table_name="graph_executions")
     return InvocationServices(
         model_manager=None,  # type: ignore
         events=TestEventService(),
@@ -52,9 +52,10 @@ def mock_services() -> InvocationServices:
         images=None,  # type: ignore
         latents=None,  # type: ignore
         boards=None,  # type: ignore
+        batch_manager=None,  # type: ignore
         board_images=None,  # type: ignore
         queue=MemoryInvocationQueue(),
-        graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"),
+        graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs"),
         graph_execution_manager=graph_execution_manager,
         performance_statistics=InvocationStatsService(graph_execution_manager),
         processor=DefaultInvocationProcessor(),

tests/nodes/test_invoker.py

@@ -6,18 +6,34 @@ from .test_nodes import (
     create_edge,
     wait_until,
 )
+# from fastapi_events.handlers.local import 
 from invokeai.app.services.invocation_queue import MemoryInvocationQueue
 from invokeai.app.services.processor import DefaultInvocationProcessor
 from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
 from invokeai.app.services.invoker import Invoker
 from invokeai.app.services.invocation_services import InvocationServices
 from invokeai.app.services.invocation_stats import InvocationStatsService
+from invokeai.app.api.events import FastAPIEventService
+from invokeai.app.services.batch_manager_storage import BatchData, SqliteBatchProcessStorage
+from invokeai.app.services.batch_manager import (
+    Batch,
+    BatchManager,
+)
 from invokeai.app.services.graph import (
     Graph,
     GraphExecutionState,
+    GraphInvocation,
     LibraryGraph,
 )
 import pytest
+import pytest_asyncio
+import sqlite3
+import time
+
+from httpx import AsyncClient
+from fastapi import FastAPI
+from fastapi_events.handlers.local import local_handler
+from fastapi_events.middleware import EventHandlerASGIMiddleware
 
 
 @pytest.fixture
@@ -29,25 +45,128 @@ def simple_graph():
     return g
 
 
+@pytest.fixture
+def simple_batch():
+    return Batch(
+        data=[
+            [
+                BatchData(
+                    node_path="1",
+                    field_name="prompt",
+                    items=[
+                        "Tomato sushi",
+                        "Strawberry sushi",
+                        "Broccoli sushi",
+                        "Asparagus sushi",
+                        "Tea sushi",
+                    ],
+                )
+            ],
+            [
+                BatchData(
+                    node_path="2",
+                    field_name="prompt",
+                    items=[
+                        "Ume sushi",
+                        "Ichigo sushi",
+                        "Momo sushi",
+                        "Mikan sushi",
+                        "Cha sushi",
+                    ],
+                )
+            ],
+        ]
+    )
+
+
+@pytest.fixture
+def graph_with_subgraph():
+    sub_g = Graph()
+    sub_g.add_node(PromptTestInvocation(id="1", prompt="Banana sushi"))
+    sub_g.add_node(TextToImageTestInvocation(id="2"))
+    sub_g.add_edge(create_edge("1", "prompt", "2", "prompt"))
+    g = Graph()
+    g.add_node(GraphInvocation(id="1", graph=sub_g))
+    return g
+
+
+@pytest.fixture
+def batch_with_subgraph():
+    return Batch(
+        data=[
+            [
+                BatchData(
+                    node_path="1.1",
+                    field_name="prompt",
+                    items=[
+                        "Tomato sushi",
+                        "Strawberry sushi",
+                        "Broccoli sushi",
+                        "Asparagus sushi",
+                        "Tea sushi",
+                    ],
+                )
+            ],
+            [
+                BatchData(
+                    node_path="1.2",
+                    field_name="prompt",
+                    items=[
+                        "Ume sushi",
+                        "Ichigo sushi",
+                        "Momo sushi",
+                        "Mikan sushi",
+                        "Cha sushi",
+                    ],
+                )
+            ],
+        ]
+    )
+
+# @pytest_asyncio.fixture(scope="module")
+# def event_loop():
+#     import asyncio
+#     try:
+#         loop = asyncio.get_running_loop()
+#     except RuntimeError as e:
+#         loop = asyncio.new_event_loop()
+#         asyncio.set_event_loop(loop)
+#     # fastapi_events.event_store
+#     yield loop
+#     loop.close()
+
+@pytest.fixture(scope="session")
+def db_conn():
+    return sqlite3.connect(sqlite_memory, check_same_thread=False)
+
 # This must be defined here to avoid issues with the dynamic creation of the union of all invocation types
 # Defining it in a separate module will cause the union to be incomplete, and pydantic will not validate
 # the test invocations.
-@pytest.fixture
-def mock_services() -> InvocationServices:
-    # NOTE: none of these are actually called by the test invocations
-    graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-        filename=sqlite_memory, table_name="graph_executions"
+@pytest.fixture(autouse=True)
+async def mock_services(db_conn : sqlite3.Connection) -> InvocationServices:
+    app = FastAPI()
+    event_handler_id: int = id(app)
+    app.add_middleware(
+        EventHandlerASGIMiddleware,
+        handlers=[local_handler],  # TODO: consider doing this in services to support different configurations
+        middleware_id=event_handler_id,
     )
+    client = AsyncClient(app=app)
+    # NOTE: none of these are actually called by the test invocations
+    graph_execution_manager = SqliteItemStorage[GraphExecutionState](conn=db_conn, table_name="graph_executions")
+    batch_manager_storage = SqliteBatchProcessStorage(conn=db_conn)
+    events = FastAPIEventService(event_handler_id)
     return InvocationServices(
         model_manager=None,  # type: ignore
-        events=TestEventService(),
+        events=events,
         logger=None,  # type: ignore
         images=None,  # type: ignore
         latents=None,  # type: ignore
+        batch_manager=BatchManager(batch_manager_storage),
         boards=None,  # type: ignore
         board_images=None,  # type: ignore
         queue=MemoryInvocationQueue(),
-        graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"),
+        graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs"),
         graph_execution_manager=graph_execution_manager,
         processor=DefaultInvocationProcessor(),
         performance_statistics=InvocationStatsService(graph_execution_manager),
@@ -130,3 +249,135 @@ def test_handles_errors(mock_invoker: Invoker):
     assert g.is_complete()
 
     assert all((i in g.errors for i in g.source_prepared_mapping["1"]))
+
+
+def test_can_create_batch_with_subgraph(mock_invoker: Invoker, graph_with_subgraph, batch_with_subgraph):
+    batch_process_res = mock_invoker.services.batch_manager.create_batch_process(
+        batch=batch_with_subgraph,
+        graph=graph_with_subgraph,
+    )
+    assert batch_process_res.batch_id
+    # TODO: without the mock events service emitting the `graph_execution_state` events,
+    # the batch sessions do not know when they have finished, so this logic will fail
+
+    # assert len(batch_process_res.session_ids) == 25
+    # mock_invoker.services.batch_manager.run_batch_process(batch_process_res.batch_id)
+
+    # def has_executed_all_batches(batch_id: str):
+    #     batch_sessions = mock_invoker.services.batch_manager.get_sessions(batch_id)
+    #     print(batch_sessions)
+    #     return all((s.state == "completed" for s in batch_sessions))
+
+    # wait_until(lambda: has_executed_all_batches(batch_process_res.batch_id), timeout=10, interval=1)
+
+async def test_can_run_batch_with_subgraph(mock_invoker: Invoker, graph_with_subgraph, batch_with_subgraph):
+    batch_process_res = mock_invoker.services.batch_manager.create_batch_process(
+        batch=batch_with_subgraph,
+        graph=graph_with_subgraph,
+    )
+    mock_invoker.services.batch_manager.run_batch_process(batch_process_res.batch_id)
+    sessions = []
+    attempts = 0
+    import asyncio
+    while len(sessions) != 25 and attempts < 20:
+        batch = mock_invoker.services.batch_manager.get_batch(batch_process_res.batch_id)
+        sessions = mock_invoker.services.batch_manager.get_sessions(batch_process_res.batch_id)
+        await asyncio.sleep(1)
+        attempts += 1
+    assert len(sessions) == 25
+
+def test_can_create_batch(mock_invoker: Invoker, simple_graph, simple_batch):
+    batch_process_res = mock_invoker.services.batch_manager.create_batch_process(
+        batch=simple_batch,
+        graph=simple_graph,
+    )
+    assert batch_process_res.batch_id
+    # TODO: without the mock events service emitting the `graph_execution_state` events,
+    # the batch sessions do not know when they have finished, so this logic will fail
+
+    # assert len(batch_process_res.session_ids) == 25
+    # mock_invoker.services.batch_manager.run_batch_process(batch_process_res.batch_id)
+
+    # def has_executed_all_batches(batch_id: str):
+    #     batch_sessions = mock_invoker.services.batch_manager.get_sessions(batch_id)
+    #     print(batch_sessions)
+    #     return all((s.state == "completed" for s in batch_sessions))
+
+    # wait_until(lambda: has_executed_all_batches(batch_process_res.batch_id), timeout=10, interval=1)
+
+
+def test_cannot_create_bad_batches():
+    batch = None
+    try:
+        batch = Batch(  # This batch has a duplicate node_path|fieldname combo
+            data=[
+                [
+                    BatchData(
+                        node_path="1",
+                        field_name="prompt",
+                        items=[
+                            "Tomato sushi",
+                        ],
+                    )
+                ],
+                [
+                    BatchData(
+                        node_path="1",
+                        field_name="prompt",
+                        items=[
+                            "Ume sushi",
+                        ],
+                    )
+                ],
+            ]
+        )
+    except Exception as e:
+        assert e
+    try:
+        batch = Batch(  # This batch has different item list lengths in the same group
+            data=[
+                [
+                    BatchData(
+                        node_path="1",
+                        field_name="prompt",
+                        items=[
+                            "Tomato sushi",
+                        ],
+                    ),
+                    BatchData(
+                        node_path="1",
+                        field_name="prompt",
+                        items=[
+                            "Tomato sushi",
+                            "Courgette sushi",
+                        ],
+                    ),
+                ],
+                [
+                    BatchData(
+                        node_path="1",
+                        field_name="prompt",
+                        items=[
+                            "Ume sushi",
+                        ],
+                    )
+                ],
+            ]
+        )
+    except Exception as e:
+        assert e
+    try:
+        batch = Batch(  # This batch has a type mismatch in single items list
+            data=[
+                [
+                    BatchData(
+                        node_path="1",
+                        field_name="prompt",
+                        items=["Tomato sushi", 5],
+                    ),
+                ],
+            ]
+        )
+    except Exception as e:
+        assert e
+    assert not batch

tests/nodes/test_nodes.py

@@ -51,6 +51,7 @@ class ImageTestInvocationOutput(BaseInvocationOutput):
 @invocation("test_text_to_image")
 class TextToImageTestInvocation(BaseInvocation):
     prompt: str = Field(default="")
+    prompt2: str = Field(default="")
 
     def invoke(self, context: InvocationContext) -> ImageTestInvocationOutput:
         return ImageTestInvocationOutput(image=ImageField(image_name=self.id))

tests/nodes/test_sqlite.py

@@ -1,20 +1,27 @@
 from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
 from pydantic import BaseModel, Field
 
+import pytest
+import sqlite3
+
 
 class TestModel(BaseModel):
     id: str = Field(description="ID")
     name: str = Field(description="Name")
 
 
-def test_sqlite_service_can_create_and_get():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+@pytest.fixture
+def db() -> SqliteItemStorage[TestModel]:
+    db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False)
+    return SqliteItemStorage[TestModel](db_conn, "test", "id")
+
+
+def test_sqlite_service_can_create_and_get(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     assert db.get("1") == TestModel(id="1", name="Test")
 
 
-def test_sqlite_service_can_list():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_list(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -30,15 +37,13 @@ def test_sqlite_service_can_list():
     ]
 
 
-def test_sqlite_service_can_delete():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_delete(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.delete("1")
     assert db.get("1") is None
 
 
-def test_sqlite_service_calls_set_callback():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_calls_set_callback(db: SqliteItemStorage[TestModel]):
     called = False
 
     def on_changed(item: TestModel):
@@ -50,8 +55,7 @@ def test_sqlite_service_calls_set_callback():
     assert called
 
 
-def test_sqlite_service_calls_delete_callback():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_calls_delete_callback(db: SqliteItemStorage[TestModel]):
     called = False
 
     def on_deleted(item_id: str):
@@ -64,8 +68,7 @@ def test_sqlite_service_calls_delete_callback():
     assert called
 
 
-def test_sqlite_service_can_list_with_pagination():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_list_with_pagination(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -77,8 +80,7 @@ def test_sqlite_service_can_list_with_pagination():
     assert results.items == [TestModel(id="1", name="Test"), TestModel(id="2", name="Test")]
 
 
-def test_sqlite_service_can_list_with_pagination_and_offset():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_list_with_pagination_and_offset(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -90,8 +92,7 @@ def test_sqlite_service_can_list_with_pagination_and_offset():
     assert results.items == [TestModel(id="3", name="Test")]
 
 
-def test_sqlite_service_can_search():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_search(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -107,8 +108,7 @@ def test_sqlite_service_can_search():
     ]
 
 
-def test_sqlite_service_can_search_with_pagination():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_search_with_pagination(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -120,8 +120,7 @@ def test_sqlite_service_can_search_with_pagination():
     assert results.items == [TestModel(id="1", name="Test"), TestModel(id="2", name="Test")]
 
 
-def test_sqlite_service_can_search_with_pagination_and_offset():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_search_with_pagination_and_offset(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))