import os
import time
import praw
import logging
from dotenv import load_dotenv

# Load environment variables
load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), '..', '.env'))

# Initialize logging (optional: configure this in your app entrypoint)
logging.basicConfig(level=logging.INFO)

# Load multiple Reddit clients
clients = []
for i in range(1, 4):
    cid = os.getenv(f"REDDIT_CLIENT_ID_{i}")
    csecret = os.getenv(f"REDDIT_CLIENT_SECRET_{i}")
    agent = os.getenv(f"REDDIT_USER_AGENT_{i}")
    
    if cid and csecret and agent:
        try:
            reddit = praw.Reddit(
                client_id=cid,
                client_secret=csecret,
                user_agent=agent
            )
            reddit.read_only = True
            clients.append(reddit)
        except Exception as e:
            logging.error(f"Failed to initialize Reddit client #{i}: {e}")

if not clients:
    raise ValueError("❌ No valid Reddit clients loaded from environment variables.")

# Rotate between clients to avoid rate limits
def get_reddit_client():
    return clients[int(time.time()) % len(clients)]

# Main function to search Reddit
def search_reddit(brand, limit=10, retries=3):
    """
    Search Reddit for a given brand keyword.

    Args:
        brand (str): Keyword to search.
        limit (int): Number of posts to fetch. Default is 10.
        retries (int): Retry attempts in case of failure.

    Returns:
        list: List of PRAW submission objects.
    """
    for attempt in range(retries):
        try:
            reddit = get_reddit_client()
            posts = list(
                reddit.subreddit("all").search(
                    brand, sort="new", limit=limit
                )
            )
            logging.info(f"✅ Fetched {len(posts)} Reddit posts for brand: {brand}")
            return posts
        except Exception as e:
            logging.warning(f"[Retry {attempt + 1}/{retries}] Reddit search failed: {e}")
            time.sleep(2)
    logging.error(f"❌ All retries failed for brand '{brand}'")
    return []