fix: Remove global state (#1216)

* Remove all global settings state

* chore: remove autogenerated class

* chore: cleanup

* chore: merge conflicts

private_gpt/main.py

@@ -1,124 +1,11 @@
 """FastAPI app creation, logger configuration and main API routes."""
-import logging
-from typing import Any
 
 import llama_index
-from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.openapi.utils import get_openapi
 
-from private_gpt.paths import docs_path
-from private_gpt.server.chat.chat_router import chat_router
-from private_gpt.server.chunks.chunks_router import chunks_router
-from private_gpt.server.completions.completions_router import completions_router
-from private_gpt.server.embeddings.embeddings_router import embeddings_router
-from private_gpt.server.health.health_router import health_router
-from private_gpt.server.ingest.ingest_router import ingest_router
-from private_gpt.settings.settings import settings
-
-logger = logging.getLogger(__name__)
+from private_gpt.di import global_injector
+from private_gpt.launcher import create_app
 
 # Add LlamaIndex simple observability
 llama_index.set_global_handler("simple")
 
-# Start the API
-with open(docs_path / "description.md") as description_file:
-    description = description_file.read()
-
-tags_metadata = [
-    {
-        "name": "Ingestion",
-        "description": "High-level APIs covering document ingestion -internally "
-        "managing document parsing, splitting,"
-        "metadata extraction, embedding generation and storage- and ingested "
-        "documents CRUD."
-        "Each ingested document is identified by an ID that can be used to filter the "
-        "context"
-        "used in *Contextual Completions* and *Context Chunks* APIs.",
-    },
-    {
-        "name": "Contextual Completions",
-        "description": "High-level APIs covering contextual Chat and Completions. They "
-        "follow OpenAI's format, extending it to "
-        "allow using the context coming from ingested documents to create the "
-        "response. Internally"
-        "manage context retrieval, prompt engineering and the response generation.",
-    },
-    {
-        "name": "Context Chunks",
-        "description": "Low-level API that given a query return relevant chunks of "
-        "text coming from the ingested"
-        "documents.",
-    },
-    {
-        "name": "Embeddings",
-        "description": "Low-level API to obtain the vector representation of a given "
-        "text, using an Embeddings model."
-        "Follows OpenAI's embeddings API format.",
-    },
-    {
-        "name": "Health",
-        "description": "Simple health API to make sure the server is up and running.",
-    },
-]
-
-app = FastAPI()
-
-
-def custom_openapi() -> dict[str, Any]:
-    if app.openapi_schema:
-        return app.openapi_schema
-    openapi_schema = get_openapi(
-        title="PrivateGPT",
-        description=description,
-        version="0.1.0",
-        summary="PrivateGPT is a production-ready AI project that allows you to "
-        "ask questions to your documents using the power of Large Language "
-        "Models (LLMs), even in scenarios without Internet connection. "
-        "100% private, no data leaves your execution environment at any point.",
-        contact={
-            "url": "https://github.com/imartinez/privateGPT",
-        },
-        license_info={
-            "name": "Apache 2.0",
-            "url": "https://www.apache.org/licenses/LICENSE-2.0.html",
-        },
-        routes=app.routes,
-        tags=tags_metadata,
-    )
-    openapi_schema["info"]["x-logo"] = {
-        "url": "https://lh3.googleusercontent.com/drive-viewer"
-        "/AK7aPaD_iNlMoTquOBsw4boh4tIYxyEuhz6EtEs8nzq3yNkNAK00xGj"
-        "E1KUCmPJSk3TYOjcs6tReG6w_cLu1S7L_gPgT9z52iw=s2560"
-    }
-
-    app.openapi_schema = openapi_schema
-    return app.openapi_schema
-
-
-app.openapi = custom_openapi  # type: ignore[method-assign]
-
-app.include_router(completions_router)
-app.include_router(chat_router)
-app.include_router(chunks_router)
-app.include_router(ingest_router)
-app.include_router(embeddings_router)
-app.include_router(health_router)
-
-if settings.server.cors.enabled:
-    logger.debug("Setting up CORS middleware")
-    app.add_middleware(
-        CORSMiddleware,
-        allow_credentials=settings.server.cors.allow_credentials,
-        allow_origins=settings.server.cors.allow_origins,
-        allow_origin_regex=settings.server.cors.allow_origin_regex,
-        allow_methods=settings.server.cors.allow_methods,
-        allow_headers=settings.server.cors.allow_headers,
-    )
-
-
-if settings.ui.enabled:
-    logger.debug("Importing the UI module")
-    from private_gpt.ui.ui import PrivateGptUi
-
-    PrivateGptUi().mount_in_app(app)
+app = create_app(global_injector)