# apis/Bubble_API_Calls.py
"""
This module provides functions to read data from the Bubble.io API.
It is used to fetch the LinkedIn token and all pre-processed application data.
All data writing/updating functions have been removed.
"""
import os
import json
import requests
import pandas as pd
import logging
from typing import Dict, Any, Optional, List, Tuple

from config import BUBBLE_API_KEY_PRIVATE_ENV_VAR, BUBBLE_API_ENDPOINT_ENV_VAR, BUBBLE_APP_NAME_ENV_VAR

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

def fetch_linkedin_token_from_bubble(url_user_token_str: str) -> Optional[dict]:
    """
    Fetches LinkedIn access token from Bubble.io using a state value.
    The token is expected in a 'Raw_text' field as a JSON string.
    """
    bubble_api_key = os.environ.get(BUBBLE_API_KEY_PRIVATE_ENV_VAR)

    if not bubble_api_key:
        logger.error("Bubble API environment variables key not set.")
        return None

    if not url_user_token_str or "not found" in url_user_token_str or "Could not access" in url_user_token_str:
        logger.info(f"No valid user token provided to query Bubble: {url_user_token_str}")
        return None

    base_url = "https://app.ingaze.ai/version-test/api/1.1/obj/Linkedin_access"
    constraints = [{"key": "state", "constraint_type": "equals", "value": url_user_token_str}]
    params = {'constraints': json.dumps(constraints)}
    headers = {"Authorization": f"Bearer {bubble_api_key}"}

    logger.info(f"Attempting to fetch LinkedIn token from Bubble for state: {url_user_token_str}")
    try:
        response = requests.get(base_url, params=params, headers=headers, timeout=15)
        response.raise_for_status()
        data = response.json()
        results = data.get("response", {}).get("results", [])

        if not results:
            logger.warning(f"No token results found in Bubble for state: {url_user_token_str}")
            return None

        raw_text = results[0].get("Raw_text")
        if not raw_text or not isinstance(raw_text, str):
            logger.warning(f"Token 'Raw_text' field is missing or not a string. Value: {raw_text}")
            return None

        parsed_token = json.loads(raw_text)
        if isinstance(parsed_token, dict) and "access_token" in parsed_token:
            logger.info("Successfully fetched and parsed LinkedIn token from Bubble.")
            return parsed_token
        else:
            logger.error(f"Parsed token from Bubble is not a valid dictionary with an access_token. Parsed value: {parsed_token}")
            return None

    except requests.exceptions.RequestException as e:
        logger.error(f"Bubble API request error while fetching token: {e}", exc_info=True)
    except json.JSONDecodeError as e:
        logger.error(f"Error decoding JSON from Bubble token response: {e}", exc_info=True)
    except Exception as e:
        logger.error(f"An unexpected error occurred while fetching the token from Bubble: {e}", exc_info=True)

    return None


def fetch_linkedin_posts_data_from_bubble(
    data_type: str,
    constraint_key: str,
    constraint_type: str,
    constraint_value: any,
    additional_constraints: list = None
) -> Tuple[Optional[pd.DataFrame], Optional[str]]:
    """
    Fetches data from the Bubble.io Data API, handling pagination to retrieve all results.
    """
    bubble_api_key = os.environ.get(BUBBLE_API_KEY_PRIVATE_ENV_VAR)
    
    
    if not bubble_api_key:
        error_msg = "Bubble API not set."
        logger.error(error_msg)
        return None, error_msg

    base_url = f"{BUBBLE_API_ENDPOINT_ENV_VAR}/{data_type}"
    headers = {"Authorization": f"Bearer {bubble_api_key}"}

    constraints = [{"key": constraint_key, "constraint_type": constraint_type, "value": constraint_value}]
    if additional_constraints:
        constraints.extend(additional_constraints)

    all_results = []
    cursor = 0
    logger.info(f"Fetching data from Bubble type '{data_type}' where '{constraint_key}' is '{constraint_value}'...")

    while True:
        params = {'constraints': json.dumps(constraints), 'cursor': cursor, 'limit': 100}
        try:
            response = requests.get(base_url, params=params, headers=headers, timeout=30)
            response.raise_for_status()

            data = response.json().get("response", {})
            results_on_page = data.get("results", [])
            if results_on_page:
                all_results.extend(results_on_page)

            remaining = data.get("remaining", 0)
            if remaining == 0:
                break
            cursor += len(results_on_page)

        except requests.exceptions.RequestException as e:
            error_msg = f"Bubble API Error fetching '{data_type}': {e}"
            logger.error(error_msg, exc_info=True)
            return None, error_msg
        except json.JSONDecodeError as e:
            error_msg = f"JSON Decode Error fetching '{data_type}': {e}. Response text: {response.text}"
            logger.error(error_msg, exc_info=True)
            return None, error_msg

    if not all_results:
        logger.info(f"No data found in Bubble for the given constraints in data type '{data_type}'.")
        return pd.DataFrame(), None

    logger.info(f"Successfully retrieved a total of {len(all_results)} records from '{data_type}'.")
    return pd.DataFrame(all_results), None