from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from database import post_github_access_token, post_github_repo, get_github_access_token
from cura import github_ingestion, vector_store

app = FastAPI(
    title="Mindify Chat API",
    description="API for Mindify Chat",
    version="0.1"
)

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"]
)

@app.get("/")
def read_root():
    return {"Hello": "World"}

@app.post("/github/access_token")
def post_github_access_token_route(token: str, user_email: str):
    post_github_access_token(token, user_email)
    return {"status": "success"}

@app.post("/github/repo")
def post_github_repo_route(repo_name: str, user_email: str):
    post_github_repo(repo_name, user_email)
    return {"status": "success"}


@app.post("/github/index")
def index_github_repo_route(repo_name: str, user_email: str):
    access_token = get_github_access_token(user_email)
    collection_name = repo_name.replace("/", "_")
    if access_token is not None:
        files = github_ingestion.ingest_github_repo(repo_name, access_token)
        results = vector_store.index_vector_store(files=files, collection_name = collection_name)
        if results:
            return {"status": "success", "message": "GitHub data stored in ChromaDB"}
        else:
            return {"status": "error", "message": "Failed to set up ChromaDB collection"}
        
    else:
        return {"status": "error", "message": "Failed to get GitHub access token"}
    
@app.post("/github/query")
def query_github_repo_route(repo_name: str, query: str):
    collection_name = repo_name.replace("/", "_")
    if collection_name is not None:
        response = vector_store.query_vector_store(collection_name=collection_name, query=query)
        return {"status": "success", "response": response}
    else:
        return {"status": "error", "message": "Failed to set up ChromaDB collection"}
    
if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app)