InvokeAI/invokeai/app/api_app.py

# Copyright (c) 2022-2023 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
import asyncio
import logging
import socket
from inspect import signature
from pathlib import Path

import uvicorn
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.openapi.docs import get_redoc_html, get_swagger_ui_html
from fastapi.openapi.utils import get_openapi
from fastapi.staticfiles import StaticFiles
from fastapi_events.handlers.local import local_handler
from fastapi_events.middleware import EventHandlerASGIMiddleware
from pydantic.schema import schema

from .services.config import InvokeAIAppConfig
from ..backend.util.logging import InvokeAILogger

from invokeai.version.invokeai_version import __version__

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.sockets import SocketIO
from .invocations.baseinvocation import BaseInvocation, _InputField, _OutputField, UIConfigBase

import torch

# noinspection PyUnresolvedReferences
import invokeai.backend.util.hotfixes  # noqa: F401 (monkeypatching on import)

if torch.backends.mps.is_available():
    # noinspection PyUnresolvedReferences
    import invokeai.backend.util.mps_fixes  # noqa: F401 (monkeypatching on import)


app_config = InvokeAIAppConfig.get_config()
app_config.parse_args()
logger = InvokeAILogger.getLogger(config=app_config)

# fix for windows mimetypes registry entries being borked
# see https://github.com/invoke-ai/InvokeAI/discussions/3684#discussioncomment-6391352
mimetypes.add_type("application/javascript", ".js")
mimetypes.add_type("text/css", ".css")

# Create the app
# TODO: create this all in a method so configuration/etc. can be passed in?
app = FastAPI(title="Invoke AI", docs_url=None, redoc_url=None)

# Add event handler
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,
)

socket_io = SocketIO(app)


# Add startup event to load dependencies
@app.on_event("startup")
async def startup_event():
    app.add_middleware(
        CORSMiddleware,
        allow_origins=app_config.allow_origins,
        allow_credentials=app_config.allow_credentials,
        allow_methods=app_config.allow_methods,
        allow_headers=app_config.allow_headers,
    )

    ApiDependencies.initialize(config=app_config, event_handler_id=event_handler_id, logger=logger)


# Shut down threads
@app.on_event("shutdown")
async def shutdown_event():
    ApiDependencies.shutdown()


# Include all routers
# TODO: REMOVE
# app.include_router(
#     invocation.invocation_router,
#     prefix = '/api')

app.include_router(sessions.session_router, prefix="/api")

app.include_router(models.models_router, prefix="/api")

app.include_router(images.images_router, prefix="/api")

app.include_router(boards.boards_router, prefix="/api")

app.include_router(board_images.board_images_router, prefix="/api")

app.include_router(app_info.app_router, prefix="/api")


# Build a custom OpenAPI to include all outputs
# TODO: can outputs be included on metadata of invocation schemas somehow?
def custom_openapi():
    if app.openapi_schema:
        return app.openapi_schema
    openapi_schema = get_openapi(
        title=app.title,
        description="An API for invoking AI image operations",
        version="1.0.0",
        routes=app.routes,
    )

    # Add all outputs
    all_invocations = BaseInvocation.get_invocations()
    output_types = set()
    output_type_titles = dict()
    for invoker in all_invocations:
        output_type = signature(invoker.invoke).return_annotation
        output_types.add(output_type)

    output_schemas = schema(output_types, ref_prefix="#/components/schemas/")
    for schema_key, output_schema in output_schemas["definitions"].items():
        output_schema["class"] = "output"
        openapi_schema["components"]["schemas"][schema_key] = output_schema

        # TODO: note that we assume the schema_key here is the TYPE.__name__
        # This could break in some cases, figure out a better way to do it
        output_type_titles[schema_key] = output_schema["title"]

    # Add Node Editor UI helper schemas
    ui_config_schemas = schema([UIConfigBase, _InputField, _OutputField], ref_prefix="#/components/schemas/")
    for schema_key, ui_config_schema in ui_config_schemas["definitions"].items():
        openapi_schema["components"]["schemas"][schema_key] = ui_config_schema

    # Add a reference to the output type to additionalProperties of the invoker schema
    for invoker in all_invocations:
        invoker_name = invoker.__name__
        output_type = signature(invoker.invoke).return_annotation
        output_type_title = output_type_titles[output_type.__name__]
        invoker_schema = openapi_schema["components"]["schemas"][invoker_name]
        outputs_ref = {"$ref": f"#/components/schemas/{output_type_title}"}
        invoker_schema["output"] = outputs_ref
        invoker_schema["class"] = "invocation"

    from invokeai.backend.model_management.models import get_model_config_enums

    for model_config_format_enum in set(get_model_config_enums()):
        name = model_config_format_enum.__qualname__

        if name in openapi_schema["components"]["schemas"]:
            # print(f"Config with name {name} already defined")
            continue

        # "BaseModelType":{"title":"BaseModelType","description":"An enumeration.","enum":["sd-1","sd-2"],"type":"string"}
        openapi_schema["components"]["schemas"][name] = dict(
            title=name,
            description="An enumeration.",
            type="string",
            enum=list(v.value for v in model_config_format_enum),
        )

    app.openapi_schema = openapi_schema
    return app.openapi_schema


app.openapi = custom_openapi

# Override API doc favicons
app.mount("/static", StaticFiles(directory=Path(web_dir.__path__[0], "static/dream_web")), name="static")


@app.get("/docs", include_in_schema=False)
def overridden_swagger():
    return get_swagger_ui_html(
        openapi_url=app.openapi_url,
        title=app.title,
        swagger_favicon_url="/static/favicon.ico",
    )


@app.get("/redoc", include_in_schema=False)
def overridden_redoc():
    return get_redoc_html(
        openapi_url=app.openapi_url,
        title=app.title,
        redoc_favicon_url="/static/favicon.ico",
    )


# Must mount *after* the other routes else it borks em
app.mount("/", StaticFiles(directory=Path(web_dir.__path__[0], "dist"), html=True), name="ui")


def invoke_api():
    def find_port(port: int):
        """Find a port not in use starting at given port"""
        # Taken from https://waylonwalker.com/python-find-available-port/, thanks Waylon!
        # https://github.com/WaylonWalker
        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
            if s.connect_ex(("localhost", port)) == 0:
                return find_port(port=port + 1)
            else:
                return port

    from invokeai.backend.install.check_root import check_invokeai_root

    check_invokeai_root(app_config)  # note, may exit with an exception if root not set up

    if app_config.dev_reload:
        try:
            import jurigged
        except ImportError as e:
            logger.error(
                'Can\'t start `--dev_reload` because jurigged is not found; `pip install -e ".[dev]"` to include development dependencies.',
                exc_info=e,
            )
        else:
            jurigged.watch(logger=InvokeAILogger.getLogger(name="jurigged").info)

    port = find_port(app_config.port)
    if port != app_config.port:
        logger.warn(f"Port {app_config.port} in use, using port {port}")

    # Start our own event loop for eventing usage
    loop = asyncio.new_event_loop()
    config = uvicorn.Config(
        app=app,
        host=app_config.host,
        port=port,
        loop=loop,
        log_level=app_config.log_level,
    )
    server = uvicorn.Server(config)

    # replace uvicorn's loggers with InvokeAI's for consistent appearance
    for logname in ["uvicorn.access", "uvicorn"]:
        log = logging.getLogger(logname)
        log.handlers.clear()
        for ch in logger.handlers:
            log.addHandler(ch)

    loop.run_until_complete(server.serve())


if __name__ == "__main__":
    if app_config.version:
        print(f"InvokeAI version {__version__}")
    else:
        invoke_api()