# app.py
import os
import sys
from fastapi import FastAPI

# --- Crucial for finding your modules ---
# Assuming app.py is at the project root level.
# This ensures Python can find 'components' and 'routes' as packages.
sys.path.insert(0, os.path.abspath(os.path.dirname(__file__)))
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "components")))
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "routes"))) # Add the routes directory
# Add routes/api to path if you are doing 'from routes.api import module' directly
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "routes", "api")))

# Import your routers
# These imports expect routes/api/ingest.py, routes/api/query.py, routes/api/headlines.py to exist
from routes.api import ingest as ingest_router_module
from routes.api import query as query_router_module # Assuming this exists
from routes.api import headlines as headlines_router_module


# NOTE: Settings.llm = None
# This line is problematic if LlamaIndex components in your pipeline (like query engine)
# rely on a global LLM setting. If you intend to use an LLM with LlamaIndex features,
# you would set it here, e.g., `Settings.llm = OpenAI()`
# For this current pipeline, the OpenAI client is initialized explicitly within
# daily_feed.py and detailed_explainer.py, so setting Settings.llm here is not strictly needed
# but also not harmful if it's just meant as a placeholder for a different use case.
# I will leave it commented out as per your original request, but be aware of its implications.
# Settings.llm = None


app = FastAPI()

@app.get("/")
def greet():
    return {"welcome": "nuse ai"}

# Include your routers
# Use .router to access the APIRouter instance from the imported modules
app.include_router(ingest_router_module.router, prefix="/api/ingest")
app.include_router(query_router_module.router, prefix="/api/query") # Assuming query.py exists
app.include_router(headlines_router_module.router, prefix="/api/headlines")