import os
from fastapi import FastAPI, Header, HTTPException, Depends
from pydantic import BaseModel
from text_humanizer import TextHumanizer, download_nltk_resources
import spacy

API_KEY = os.environ.get("API_KEY", "dev-key")
PORT = int(os.environ.get("PORT", 7860))

app = FastAPI()
humanizer = None

class HumanizeReq(BaseModel):
    text: str
    use_passive: bool = False
    use_synonyms: bool = False

def verify_key(x_api_key: str = Header(None)):
    if x_api_key != API_KEY:
        raise HTTPException(status_code=403, detail="Forbidden")
    return True

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

@app.on_event("startup")
def startup():
    # ensure NLTK resources and spacy model are available at runtime
    download_nltk_resources()
    try:
        spacy.load("en_core_web_sm")
    except OSError:
        import spacy.cli
        spacy.cli.download("en_core_web_sm")
    global humanizer
    humanizer = TextHumanizer()

@app.post("/humanize")
def humanize(req: HumanizeReq, _=Depends(verify_key)):
    return {"humanized": humanizer.humanize_text(req.text, req.use_passive, req.use_synonyms)}

# if __name__ == "__main__":
#     import uvicorn
#     uvicorn.run(app, host="0.0.0.0", port=PORT)