mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
b79ae3a101
The change to `Graph.nodes` and `GraphExecutionState.results` validation requires some fanagling to get the OpenAPI schema generation to work. See new comments for a details.
288 lines
10 KiB
Python
288 lines
10 KiB
Python
# parse_args() must be called before any other imports. if it is not called first, consumers of the config
|
|
# which are imported/used before parse_args() is called will get the default config values instead of the
|
|
# values from the command line or config file.
|
|
import sys
|
|
|
|
from invokeai.app.api.no_cache_staticfiles import NoCacheStaticFiles
|
|
from invokeai.version.invokeai_version import __version__
|
|
|
|
from .invocations.fields import InputFieldJSONSchemaExtra, OutputFieldJSONSchemaExtra
|
|
from .services.config import InvokeAIAppConfig
|
|
|
|
app_config = InvokeAIAppConfig.get_config()
|
|
app_config.parse_args()
|
|
if app_config.version:
|
|
print(f"InvokeAI version {__version__}")
|
|
sys.exit(0)
|
|
|
|
if True: # hack to make flake8 happy with imports coming after setting up the config
|
|
import asyncio
|
|
import mimetypes
|
|
import socket
|
|
from inspect import signature
|
|
from pathlib import Path
|
|
from typing import Any
|
|
|
|
import uvicorn
|
|
from fastapi import FastAPI
|
|
from fastapi.middleware.cors import CORSMiddleware
|
|
from fastapi.middleware.gzip import GZipMiddleware
|
|
from fastapi.openapi.docs import get_redoc_html, get_swagger_ui_html
|
|
from fastapi.openapi.utils import get_openapi
|
|
from fastapi.responses import HTMLResponse
|
|
from fastapi_events.handlers.local import local_handler
|
|
from fastapi_events.middleware import EventHandlerASGIMiddleware
|
|
from pydantic.json_schema import models_json_schema
|
|
from torch.backends.mps import is_available as is_mps_available
|
|
|
|
# for PyCharm:
|
|
# noinspection PyUnresolvedReferences
|
|
import invokeai.backend.util.hotfixes # noqa: F401 (monkeypatching on import)
|
|
import invokeai.frontend.web as web_dir
|
|
|
|
from ..backend.util.logging import InvokeAILogger
|
|
from .api.dependencies import ApiDependencies
|
|
from .api.routers import (
|
|
app_info,
|
|
board_images,
|
|
boards,
|
|
download_queue,
|
|
images,
|
|
model_manager,
|
|
session_queue,
|
|
sessions,
|
|
utilities,
|
|
workflows,
|
|
)
|
|
from .api.sockets import SocketIO
|
|
from .invocations.baseinvocation import (
|
|
BaseInvocation,
|
|
UIConfigBase,
|
|
)
|
|
|
|
if is_mps_available():
|
|
import invokeai.backend.util.mps_fixes # noqa: F401 (monkeypatching on import)
|
|
|
|
|
|
app_config = InvokeAIAppConfig.get_config()
|
|
app_config.parse_args()
|
|
logger = InvokeAILogger.get_logger(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 - Community Edition", docs_url=None, redoc_url=None, separate_input_output_schemas=False)
|
|
|
|
# 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)
|
|
|
|
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,
|
|
)
|
|
|
|
app.add_middleware(GZipMiddleware, minimum_size=1000)
|
|
|
|
|
|
# Add startup event to load dependencies
|
|
@app.on_event("startup")
|
|
async def startup_event() -> None:
|
|
ApiDependencies.initialize(config=app_config, event_handler_id=event_handler_id, logger=logger)
|
|
|
|
|
|
# Shut down threads
|
|
@app.on_event("shutdown")
|
|
async def shutdown_event() -> None:
|
|
ApiDependencies.shutdown()
|
|
|
|
|
|
# Include all routers
|
|
app.include_router(sessions.session_router, prefix="/api")
|
|
|
|
app.include_router(utilities.utilities_router, prefix="/api")
|
|
app.include_router(model_manager.model_manager_router, prefix="/api")
|
|
app.include_router(download_queue.download_queue_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")
|
|
app.include_router(session_queue.session_queue_router, prefix="/api")
|
|
app.include_router(workflows.workflows_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() -> dict[str, Any]:
|
|
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,
|
|
separate_input_output_schemas=False, # https://fastapi.tiangolo.com/how-to/separate-openapi-schemas/
|
|
)
|
|
|
|
# Add all outputs
|
|
all_invocations = BaseInvocation.get_invocations()
|
|
output_types = set()
|
|
output_type_titles = {}
|
|
for invoker in all_invocations:
|
|
output_type = signature(invoker.invoke).return_annotation
|
|
output_types.add(output_type)
|
|
|
|
output_schemas = models_json_schema(
|
|
models=[(o, "serialization") for o in output_types], ref_template="#/components/schemas/{model}"
|
|
)
|
|
for schema_key, output_schema in output_schemas[1]["$defs"].items():
|
|
# TODO: note that we assume the schema_key here is the TYPE.__name__
|
|
# This could break in some cases, figure out a better way to do it
|
|
output_type_titles[schema_key] = output_schema["title"]
|
|
openapi_schema["components"]["schemas"][schema_key] = output_schema
|
|
openapi_schema["components"]["schemas"][schema_key]["class"] = "output"
|
|
|
|
# Add Node Editor UI helper schemas
|
|
ui_config_schemas = models_json_schema(
|
|
[
|
|
(UIConfigBase, "serialization"),
|
|
(InputFieldJSONSchemaExtra, "serialization"),
|
|
(OutputFieldJSONSchemaExtra, "serialization"),
|
|
],
|
|
ref_template="#/components/schemas/{model}",
|
|
)
|
|
for schema_key, ui_config_schema in ui_config_schemas[1]["$defs"].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__ # type: ignore [attr-defined] # this is a valid attribute
|
|
output_type = signature(obj=invoker.invoke).return_annotation
|
|
output_type_title = output_type_titles[output_type.__name__]
|
|
invoker_schema = openapi_schema["components"]["schemas"][f"{invoker_name}"]
|
|
outputs_ref = {"$ref": f"#/components/schemas/{output_type_title}"}
|
|
invoker_schema["output"] = outputs_ref
|
|
invoker_schema["class"] = "invocation"
|
|
|
|
# This code no longer seems to be necessary?
|
|
# Leave it here just in case
|
|
#
|
|
# from invokeai.backend.model_manager import get_model_config_formats
|
|
# formats = get_model_config_formats()
|
|
# for model_config_name, enum_set in formats.items():
|
|
|
|
# if model_config_name in openapi_schema["components"]["schemas"]:
|
|
# # print(f"Config with name {name} already defined")
|
|
# continue
|
|
|
|
# openapi_schema["components"]["schemas"][model_config_name] = {
|
|
# "title": model_config_name,
|
|
# "description": "An enumeration.",
|
|
# "type": "string",
|
|
# "enum": [v.value for v in enum_set],
|
|
# }
|
|
|
|
app.openapi_schema = openapi_schema
|
|
return app.openapi_schema
|
|
|
|
|
|
app.openapi = custom_openapi # type: ignore [method-assign] # this is a valid assignment
|
|
|
|
|
|
@app.get("/docs", include_in_schema=False)
|
|
def overridden_swagger() -> HTMLResponse:
|
|
return get_swagger_ui_html(
|
|
openapi_url=app.openapi_url, # type: ignore [arg-type] # this is always a string
|
|
title=f"{app.title} - Swagger UI",
|
|
swagger_favicon_url="static/docs/invoke-favicon-docs.svg",
|
|
)
|
|
|
|
|
|
@app.get("/redoc", include_in_schema=False)
|
|
def overridden_redoc() -> HTMLResponse:
|
|
return get_redoc_html(
|
|
openapi_url=app.openapi_url, # type: ignore [arg-type] # this is always a string
|
|
title=f"{app.title} - Redoc",
|
|
redoc_favicon_url="static/docs/invoke-favicon-docs.svg",
|
|
)
|
|
|
|
|
|
web_root_path = Path(list(web_dir.__path__)[0])
|
|
|
|
try:
|
|
app.mount("/", NoCacheStaticFiles(directory=Path(web_root_path, "dist"), html=True), name="ui")
|
|
except RuntimeError:
|
|
logger.warn(f"No UI found at {web_root_path}/dist, skipping UI mount")
|
|
app.mount(
|
|
"/static", NoCacheStaticFiles(directory=Path(web_root_path, "static/")), name="static"
|
|
) # docs favicon is in here
|
|
|
|
|
|
def invoke_api() -> None:
|
|
def find_port(port: int) -> 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.get_logger(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="asyncio",
|
|
log_level=app_config.log_level,
|
|
ssl_certfile=app_config.ssl_certfile,
|
|
ssl_keyfile=app_config.ssl_keyfile,
|
|
)
|
|
server = uvicorn.Server(config)
|
|
|
|
# replace uvicorn's loggers with InvokeAI's for consistent appearance
|
|
for logname in ["uvicorn.access", "uvicorn"]:
|
|
log = InvokeAILogger.get_logger(logname)
|
|
log.handlers.clear()
|
|
for ch in logger.handlers:
|
|
log.addHandler(ch)
|
|
|
|
loop.run_until_complete(server.serve())
|
|
|
|
|
|
if __name__ == "__main__":
|
|
invoke_api()
|