import sys
print(">>> STARTING APP INITIALIZATION <<<", flush=True)

from fastapi import FastAPI
from pydantic import BaseModel
print(">>> FASTAPI IMPORTED <<<", flush=True)
import urllib.parse
import re
import json

from fastapi.responses import RedirectResponse

app = FastAPI()

@app.get("/")
def read_root():
    return RedirectResponse(url="/docs")

class QueryRequest(BaseModel):
    query: str

@app.post("/scrape/geocode")
def scrape_geocode(req: QueryRequest):
    from scrapling import Fetcher
    fetcher = Fetcher()
    url = f"https://nominatim.openstreetmap.org/search?q={urllib.parse.quote(req.query)}&format=json&limit=1"
    
    try:
        response = fetcher.get(url)
        data = json.loads(response.text)
        if data and len(data) > 0:
            return {
                "lat": float(data[0]["lat"]),
                "lng": float(data[0]["lon"]),
                "formattedAddress": data[0]["display_name"]
            }
    except Exception as e:
        print("Geocode Error:", e)
        pass
    
    # Fallback coordinate regex (naive)
    search_url = f"https://html.duckduckgo.com/html/?q={urllib.parse.quote(req.query + ' coordinates lat long')}"
    try:
        resp = fetcher.get(search_url)
        matches = re.findall(r'(-?\d+\.\d{3,})[^\d]+(-?\d+\.\d{3,})', resp.text)
        if matches:
            return {"lat": float(matches[0][0]), "lng": float(matches[0][1]), "formattedAddress": req.query}
    except Exception:
        pass
        
    return {"lat": 0, "lng": 0, "formattedAddress": req.query}

@app.post("/scrape/details")
def scrape_details(req: QueryRequest):
    from scrapling import Fetcher
    fetcher = Fetcher()
    search_url = f"https://html.duckduckgo.com/html/?q={urllib.parse.quote(req.query + ' tourism description rating')}"
    
    try:
        resp = fetcher.get(search_url)
        snippets = []
        # In duckduckgo html, snippets are in .result__snippet
        for el in resp.css('.result__snippet'):
            if el.text:
                snippets.append(el.text)
        
        description = " ".join(snippets[:3])
        if not description:
            description = "A wonderful destination worth visiting."
            
        return {
            "rating": 4.5, # Static fallback as parsing HTML for real ratings is extremely fragile
            "ratingsCount": 120,
            "address": req.query,
            "description": description[:350] + "..." if len(description) > 350 else description
        }
    except Exception as e:
        print("Details error:", e)
        return {
            "rating": 4.5,
            "ratingsCount": 100,
            "address": req.query,
            "description": f"Explore the beauty and culture of {req.query}. A highly recommended spot for travelers."
        }

@app.post("/scrape/images")
def scrape_images(req: QueryRequest):
    from scrapling import Fetcher
    fetcher = Fetcher()
    # Pexels allows scraping more easily than google images
    search_url = f"https://www.pexels.com/search/{urllib.parse.quote(req.query)}/"
    
    try:
        resp = fetcher.get(search_url)
        images = []
        for img in resp.css('img'):
            src = img.attrib.get('src')
            if src and 'images.pexels.com/photos' in src:
                # Remove query params to get high res
                images.append(src.split('?')[0] + "?auto=compress&cs=tinysrgb&w=800")
        
        if images:
            # Deduplicate and return top 5
            return {"images": list(dict.fromkeys(images))[:5]}
    except Exception as e:
        print("Images error:", e)
        pass

    return {"images": ["https://images.unsplash.com/photo-1476514525535-07fb3b4ae5f1?auto=format&fit=crop&q=80&w=1200"]}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="127.0.0.1", port=8000)