from flask import Blueprint, jsonify
import requests
import json
import os
import pandas as pd

# Assuming you have these functions and configurations in your app.py
from app import get_driver, neo4j_logger

bp = Blueprint('get_sponsored', __name__)
CACHE_FILE = 'cache.json'
CSV_FILE = 'legislation.csv'

def load_cache():
    if os.path.exists(CACHE_FILE):
        with open(CACHE_FILE, 'r') as f:
            return json.load(f)
    else:
        neo4j_logger.info(f"Cache file {CACHE_FILE} does not exist. Initializing empty cache.")
        return {}

def save_cache(cache_data):
    with open(CACHE_FILE, 'w') as f:
        json.dump(cache_data, f)
    neo4j_logger.info(f"Saved data to cache file: {CACHE_FILE}")

def write_to_csv(legislation_data, csv_file):
    # Flatten the nested dictionaries
    flattened_legislation = []
    for item in legislation_data:
        flattened_item = {}
        flatten_dict(item, "", flattened_item)
        flattened_legislation.append(flattened_item)

    df = pd.DataFrame(flattened_legislation)

    # Debugging: Print the first few entries of the DataFrame to inspect its structure
    print("Debugging DataFrame:")
    if not df.empty:
        print(df.head())
    else:
        print("DataFrame is empty.")

    if df.empty:
        neo4j_logger.warning(f"No data to write to CSV file: {csv_file}")
        print("DataFrame is empty. Debugging information:")
        for item in flattened_legislation[:5]:  # Print first 5 items
            print(json.dumps(item, indent=4))
        return

    df.to_csv(csv_file, index=False)
    neo4j_logger.info(f"Data written to CSV file: {csv_file}")

def flatten_dict(d, parent_key='', sep='_'):
    items = []
    for k, v in d.items():
        new_key = f"{parent_key}{sep}{k}" if parent_key else k
        if isinstance(v, dict):
            # Debugging: Print the key and value when entering a nested dictionary
            print(f"Entering nested dictionary with key: {new_key}")
            items.extend(flatten_dict(v, new_key, sep=sep).items())
        elif isinstance(v, list):
            # Handle lists by converting them to strings or other appropriate representation
            if v:
                items.append((new_key, ', '.join(map(str, v))))
            else:
                # If the list is empty, add an empty string or a placeholder
                items.append((new_key, ''))
        elif v is not None:
            # Debugging: Print the key and value when adding a non-dict, non-list item
            print(f"Adding {new_key}: {v}")
            items.append((new_key, v))
        else:
            # Handle None values appropriately (e.g., add an empty string or a placeholder)
            items.append((new_key, ''))
    return dict(items)

@bp.route('/get_sponsored')
def get_sponsored():
    # Load bioguideIds and legislation from the same cache
    cache = load_cache()
    if 'bioguideIds' not in cache or len(cache['bioguideIds']) == 0:
        return jsonify({"message": "No bioguideIds found in cache"}), 404

    # Print the number of items found in the cache initially
    initial_bioguideIds_count = len(cache['bioguideIds'])
    print(f"Initial bioguideIds count: {initial_bioguideIds_count}")

    processed_legislation_count = 0
    all_legislation_data = []

    while 'bioguideIds' in cache and len(cache['bioguideIds']) > 0:
        # Step 1: Retrieve a sponsor from the cache
        current_bioguideId = cache['bioguideIds'].pop(0)
        if current_bioguideId is None:
            continue

        print(f"Processing bioguideId: {current_bioguideId}")

        congress_api_url = f"https://api.congress.gov/v3/member/{current_bioguideId}/sponsored-legislation"

        # Include API key in headers (if required)
        api_key = os.getenv('CONGRESS_API_KEY')
        if not api_key:
            neo4j_logger.error("Congress API key not found in environment variables")
            continue

        headers = {
            'X-API-KEY': api_key
        }

        # Step 2: Fetch sponsored legislation for the member
        response = requests.get(congress_api_url, headers=headers)
        print(f"Response Status Code: {response.status_code}")
        print(f"Response Text: {response.text}")

        if response.status_code != 200:
            neo4j_logger.error(f"Failed to fetch sponsored legislation for bioguideId {current_bioguideId}: Status Code {response.status_code}, Response: {response.text}")
            continue

        response_data = response.json()

        # Debugging statement to check the raw API response
        print("Raw API Response:")
        print(json.dumps(response_data, indent=4))

        # Extract legislation data from the response
        if 'sponsoredLegislation' in response_data and len(response_data['sponsoredLegislation']) > 0:
            for result in response_data['sponsoredLegislation']:
                all_legislation_data.append(result)

    # Debugging statement to check the number of legislation items collected
    print(f"Number of legislation items collected: {len(all_legislation_data)}")

    if len(all_legislation_data) > 0:
        # Print first few items to ensure data is structured correctly
        for i, item in enumerate(all_legislation_data[:5]):
            print(f"\nLegislation Item {i+1}:")
            print(json.dumps(item, indent=4))

    # Write the extracted legislation data to a CSV file
    write_to_csv(all_legislation_data, CSV_FILE)

    return jsonify({"message": "Legislation data written to CSV successfully"}), 200