add sponsored and cosponsored endpoints
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084ddc26d3
commit
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99
api/endpoints/get_cosponsored.py
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99
api/endpoints/get_cosponsored.py
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from flask import Blueprint, jsonify, request
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import requests
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import csv
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import os
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import logging
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import json
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bp = Blueprint('get_cosponsored', __name__)
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# Function to retrieve bioguideIds from cache.json file
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def get_bioguideIds_from_cache():
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CACHE_PATH = os.getenv("CACHE_PATH")
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if not CACHE_PATH:
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logging.error("CACHE_PATH not found in .env file")
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return None
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if not os.path.exists(CACHE_PATH):
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logging.error("Cache file not found at specified path")
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return None
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try:
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with open(CACHE_PATH, 'r') as file:
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cache_data = json.load(file)
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bioguideIds = cache_data.get("bioguideIds", [])
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if not bioguideIds:
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logging.error("bioguideIds not found in cache.json")
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return None
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return bioguideIds
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except Exception as e:
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logging.error(f"Failed to read cache file: {str(e)}")
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return None
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# Function to flatten nested dictionaries and lists
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def flatten_dict(d, parent_key='', sep='_'):
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items = []
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for k, v in d.items():
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new_key = f"{parent_key}{sep}{k}" if parent_key else k
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if isinstance(v, dict):
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items.extend(flatten_dict(v, new_key, sep=sep).items())
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elif isinstance(v, list):
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for i, item in enumerate(v):
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items.append((f"{new_key}_{i}", flatten_dict(item, '', sep=sep)))
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else:
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items.append((new_key, v if v is not None and v != "" else "NONE"))
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return dict(items)
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# Function to write data to CSV
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def write_to_csv(data, filename):
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keys = set()
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for item in data:
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keys.update(item.keys())
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with open(filename, 'w', newline='') as output_file:
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dict_writer = csv.DictWriter(output_file, fieldnames=keys)
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dict_writer.writeheader()
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dict_writer.writerows(data)
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@bp.route('/get_cosponsored', methods=['GET'])
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def get_cosponsored_legislation():
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try:
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# Retrieve bioguideIds from cache.json
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bioguideIds = get_bioguideIds_from_cache()
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if not bioguideIds:
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return jsonify({"error": "bioguideIds not found"}), 404
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all_data = []
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for bioguideId in bioguideIds:
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# Make request to Congress API
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api_key = os.getenv("CONGRESS_API_KEY")
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url = f"https://api.congress.gov/v3/member/{bioguideId}/cosponsored-legislation?api_key={api_key}"
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response = requests.get(url)
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if response.status_code != 200:
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logging.error(f"Failed to retrieve cosponsored legislation for bioguideId {bioguideId}: {response.text}")
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return jsonify({"error": f"Failed to retrieve data from Congress API for bioguideId {bioguideId}"}), 500
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data = response.json().get("cosponsoredLegislation", [])
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# Add cosponsored_by column and handle nested items
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for item in data:
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flattened_item = flatten_dict(item)
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flattened_item["cosponsored_by"] = bioguideId
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if not any(flattened_item.values()):
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continue # Skip empty rows
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all_data.append(flattened_item)
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if not all_data:
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return jsonify({"error": "No cosponsored legislation found for the given bioguideIds"}), 404
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# Write data to CSV
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csv_filename = f"cosponsored_legislation.csv"
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write_to_csv(all_data, csv_filename)
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return jsonify({"message": "Data written to CSV successfully", "filename": csv_filename})
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except Exception as e:
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logging.error(f"An error occurred: {str(e)}")
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return jsonify({"error": str(e)}), 500
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from flask import Blueprint, jsonify
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from flask import Blueprint, jsonify, request
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import requests
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import requests
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import json
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import csv
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import os
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import os
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import pandas as pd
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import logging
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import json
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# Assuming you have these functions and configurations in your app.py
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from app import get_driver, neo4j_logger
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bp = Blueprint('get_sponsored', __name__)
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bp = Blueprint('get_sponsored', __name__)
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CACHE_FILE = 'cache.json'
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CSV_FILE = 'legislation.csv'
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def load_cache():
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# Function to retrieve bioguideIds from cache.json file
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if os.path.exists(CACHE_FILE):
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def get_bioguideIds_from_cache():
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with open(CACHE_FILE, 'r') as f:
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CACHE_PATH = os.getenv("CACHE_PATH")
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return json.load(f)
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if not CACHE_PATH:
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else:
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logging.error("CACHE_PATH not found in .env file")
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neo4j_logger.info(f"Cache file {CACHE_FILE} does not exist. Initializing empty cache.")
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return None
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return {}
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def save_cache(cache_data):
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if not os.path.exists(CACHE_PATH):
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with open(CACHE_FILE, 'w') as f:
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logging.error("Cache file not found at specified path")
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json.dump(cache_data, f)
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return None
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neo4j_logger.info(f"Saved data to cache file: {CACHE_FILE}")
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def write_to_csv(legislation_data, csv_file):
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try:
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# Flatten the nested dictionaries
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with open(CACHE_PATH, 'r') as file:
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flattened_legislation = []
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cache_data = json.load(file)
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for item in legislation_data:
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bioguideIds = cache_data.get("bioguideIds", [])
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flattened_item = {}
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if not bioguideIds:
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flatten_dict(item, "", flattened_item)
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logging.error("bioguideIds not found in cache.json")
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flattened_legislation.append(flattened_item)
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return None
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return bioguideIds
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df = pd.DataFrame(flattened_legislation)
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except Exception as e:
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logging.error(f"Failed to read cache file: {str(e)}")
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# Debugging: Print the first few entries of the DataFrame to inspect its structure
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return None
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print("Debugging DataFrame:")
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if not df.empty:
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print(df.head())
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else:
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print("DataFrame is empty.")
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if df.empty:
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neo4j_logger.warning(f"No data to write to CSV file: {csv_file}")
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print("DataFrame is empty. Debugging information:")
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for item in flattened_legislation[:5]: # Print first 5 items
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print(json.dumps(item, indent=4))
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return
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df.to_csv(csv_file, index=False)
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neo4j_logger.info(f"Data written to CSV file: {csv_file}")
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# Function to flatten nested dictionaries and lists
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def flatten_dict(d, parent_key='', sep='_'):
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def flatten_dict(d, parent_key='', sep='_'):
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items = []
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items = []
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for k, v in d.items():
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for k, v in d.items():
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new_key = f"{parent_key}{sep}{k}" if parent_key else k
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new_key = f"{parent_key}{sep}{k}" if parent_key else k
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if isinstance(v, dict):
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if isinstance(v, dict):
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# Debugging: Print the key and value when entering a nested dictionary
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print(f"Entering nested dictionary with key: {new_key}")
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items.extend(flatten_dict(v, new_key, sep=sep).items())
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items.extend(flatten_dict(v, new_key, sep=sep).items())
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elif isinstance(v, list):
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elif isinstance(v, list):
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# Handle lists by converting them to strings or other appropriate representation
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for i, item in enumerate(v):
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if v:
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items.append((f"{new_key}_{i}", flatten_dict(item, '', sep=sep)))
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items.append((new_key, ', '.join(map(str, v))))
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else:
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else:
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# If the list is empty, add an empty string or a placeholder
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items.append((new_key, v if v is not None and v != "" else "NONE"))
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items.append((new_key, ''))
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elif v is not None:
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# Debugging: Print the key and value when adding a non-dict, non-list item
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print(f"Adding {new_key}: {v}")
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items.append((new_key, v))
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else:
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# Handle None values appropriately (e.g., add an empty string or a placeholder)
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items.append((new_key, ''))
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return dict(items)
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return dict(items)
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@bp.route('/get_sponsored')
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# Function to write data to CSV
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def get_sponsored():
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def write_to_csv(data, filename):
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# Load bioguideIds and legislation from the same cache
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keys = set()
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cache = load_cache()
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for item in data:
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if 'bioguideIds' not in cache or len(cache['bioguideIds']) == 0:
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keys.update(item.keys())
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return jsonify({"message": "No bioguideIds found in cache"}), 404
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# Print the number of items found in the cache initially
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with open(filename, 'w', newline='') as output_file:
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initial_bioguideIds_count = len(cache['bioguideIds'])
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dict_writer = csv.DictWriter(output_file, fieldnames=keys)
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print(f"Initial bioguideIds count: {initial_bioguideIds_count}")
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dict_writer.writeheader()
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dict_writer.writerows(data)
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processed_legislation_count = 0
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@bp.route('/get_sponsored', methods=['GET'])
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all_legislation_data = []
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def get_sponsored_legislation():
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try:
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# Retrieve bioguideIds from cache.json
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bioguideIds = get_bioguideIds_from_cache()
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if not bioguideIds:
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return jsonify({"error": "bioguideIds not found"}), 404
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while 'bioguideIds' in cache and len(cache['bioguideIds']) > 0:
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all_data = []
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# Step 1: Retrieve a sponsor from the cache
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current_bioguideId = cache['bioguideIds'].pop(0)
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if current_bioguideId is None:
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continue
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print(f"Processing bioguideId: {current_bioguideId}")
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for bioguideId in bioguideIds:
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# Make request to Congress API
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congress_api_url = f"https://api.congress.gov/v3/member/{current_bioguideId}/sponsored-legislation"
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api_key = os.getenv("CONGRESS_API_KEY")
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url = f"https://api.congress.gov/v3/member/{bioguideId}/sponsored-legislation?api_key={api_key}"
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# Include API key in headers (if required)
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response = requests.get(url)
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api_key = os.getenv('CONGRESS_API_KEY')
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if not api_key:
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neo4j_logger.error("Congress API key not found in environment variables")
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continue
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headers = {
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'X-API-KEY': api_key
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}
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# Step 2: Fetch sponsored legislation for the member
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response = requests.get(congress_api_url, headers=headers)
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print(f"Response Status Code: {response.status_code}")
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print(f"Response Text: {response.text}")
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if response.status_code != 200:
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if response.status_code != 200:
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neo4j_logger.error(f"Failed to fetch sponsored legislation for bioguideId {current_bioguideId}: Status Code {response.status_code}, Response: {response.text}")
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logging.error(f"Failed to retrieve sponsored legislation for bioguideId {bioguideId}: {response.text}")
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continue
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return jsonify({"error": f"Failed to retrieve data from Congress API for bioguideId {bioguideId}"}), 500
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response_data = response.json()
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data = response.json().get("sponsoredLegislation", [])
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# Debugging statement to check the raw API response
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# Add sponsored_by column and handle nested items
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print("Raw API Response:")
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for item in data:
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print(json.dumps(response_data, indent=4))
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flattened_item = flatten_dict(item)
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flattened_item["sponsored_by"] = bioguideId
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if not any(flattened_item.values()):
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continue # Skip empty rows
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all_data.append(flattened_item)
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# Extract legislation data from the response
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if not all_data:
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if 'sponsoredLegislation' in response_data and len(response_data['sponsoredLegislation']) > 0:
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return jsonify({"error": "No sponsored legislation found for the given bioguideIds"}), 404
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for result in response_data['sponsoredLegislation']:
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all_legislation_data.append(result)
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# Debugging statement to check the number of legislation items collected
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# Write data to CSV
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print(f"Number of legislation items collected: {len(all_legislation_data)}")
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csv_filename = f"sponsored_legislation.csv"
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write_to_csv(all_data, csv_filename)
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if len(all_legislation_data) > 0:
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return jsonify({"message": "Data written to CSV successfully", "filename": csv_filename})
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# Print first few items to ensure data is structured correctly
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for i, item in enumerate(all_legislation_data[:5]):
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print(f"\nLegislation Item {i+1}:")
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print(json.dumps(item, indent=4))
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# Write the extracted legislation data to a CSV file
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except Exception as e:
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write_to_csv(all_legislation_data, CSV_FILE)
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logging.error(f"An error occurred: {str(e)}")
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return jsonify({"error": str(e)}), 500
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return jsonify({"message": "Legislation data written to CSV successfully"}), 200
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