add sponsored and cosponsored endpoints
This commit is contained in:
parent
084ddc26d3
commit
33dd47226b
99
api/endpoints/get_cosponsored.py
Normal file
99
api/endpoints/get_cosponsored.py
Normal file
@ -0,0 +1,99 @@
|
||||
from flask import Blueprint, jsonify, request
|
||||
import requests
|
||||
import csv
|
||||
import os
|
||||
import logging
|
||||
import json
|
||||
|
||||
bp = Blueprint('get_cosponsored', __name__)
|
||||
|
||||
# Function to retrieve bioguideIds from cache.json file
|
||||
def get_bioguideIds_from_cache():
|
||||
CACHE_PATH = os.getenv("CACHE_PATH")
|
||||
if not CACHE_PATH:
|
||||
logging.error("CACHE_PATH not found in .env file")
|
||||
return None
|
||||
|
||||
if not os.path.exists(CACHE_PATH):
|
||||
logging.error("Cache file not found at specified path")
|
||||
return None
|
||||
|
||||
try:
|
||||
with open(CACHE_PATH, 'r') as file:
|
||||
cache_data = json.load(file)
|
||||
bioguideIds = cache_data.get("bioguideIds", [])
|
||||
if not bioguideIds:
|
||||
logging.error("bioguideIds not found in cache.json")
|
||||
return None
|
||||
return bioguideIds
|
||||
except Exception as e:
|
||||
logging.error(f"Failed to read cache file: {str(e)}")
|
||||
return None
|
||||
|
||||
# Function to flatten nested dictionaries and lists
|
||||
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):
|
||||
items.extend(flatten_dict(v, new_key, sep=sep).items())
|
||||
elif isinstance(v, list):
|
||||
for i, item in enumerate(v):
|
||||
items.append((f"{new_key}_{i}", flatten_dict(item, '', sep=sep)))
|
||||
else:
|
||||
items.append((new_key, v if v is not None and v != "" else "NONE"))
|
||||
return dict(items)
|
||||
|
||||
# Function to write data to CSV
|
||||
def write_to_csv(data, filename):
|
||||
keys = set()
|
||||
for item in data:
|
||||
keys.update(item.keys())
|
||||
|
||||
with open(filename, 'w', newline='') as output_file:
|
||||
dict_writer = csv.DictWriter(output_file, fieldnames=keys)
|
||||
dict_writer.writeheader()
|
||||
dict_writer.writerows(data)
|
||||
|
||||
@bp.route('/get_cosponsored', methods=['GET'])
|
||||
def get_cosponsored_legislation():
|
||||
try:
|
||||
# Retrieve bioguideIds from cache.json
|
||||
bioguideIds = get_bioguideIds_from_cache()
|
||||
if not bioguideIds:
|
||||
return jsonify({"error": "bioguideIds not found"}), 404
|
||||
|
||||
all_data = []
|
||||
|
||||
for bioguideId in bioguideIds:
|
||||
# Make request to Congress API
|
||||
api_key = os.getenv("CONGRESS_API_KEY")
|
||||
url = f"https://api.congress.gov/v3/member/{bioguideId}/cosponsored-legislation?api_key={api_key}"
|
||||
response = requests.get(url)
|
||||
|
||||
if response.status_code != 200:
|
||||
logging.error(f"Failed to retrieve cosponsored legislation for bioguideId {bioguideId}: {response.text}")
|
||||
return jsonify({"error": f"Failed to retrieve data from Congress API for bioguideId {bioguideId}"}), 500
|
||||
|
||||
data = response.json().get("cosponsoredLegislation", [])
|
||||
|
||||
# Add cosponsored_by column and handle nested items
|
||||
for item in data:
|
||||
flattened_item = flatten_dict(item)
|
||||
flattened_item["cosponsored_by"] = bioguideId
|
||||
if not any(flattened_item.values()):
|
||||
continue # Skip empty rows
|
||||
all_data.append(flattened_item)
|
||||
|
||||
if not all_data:
|
||||
return jsonify({"error": "No cosponsored legislation found for the given bioguideIds"}), 404
|
||||
|
||||
# Write data to CSV
|
||||
csv_filename = f"cosponsored_legislation.csv"
|
||||
write_to_csv(all_data, csv_filename)
|
||||
|
||||
return jsonify({"message": "Data written to CSV successfully", "filename": csv_filename})
|
||||
|
||||
except Exception as e:
|
||||
logging.error(f"An error occurred: {str(e)}")
|
||||
return jsonify({"error": str(e)}), 500
|
||||
@ -1,144 +1,99 @@
|
||||
from flask import Blueprint, jsonify
|
||||
from flask import Blueprint, jsonify, request
|
||||
import requests
|
||||
import json
|
||||
import csv
|
||||
import os
|
||||
import pandas as pd
|
||||
|
||||
# Assuming you have these functions and configurations in your app.py
|
||||
from app import get_driver, neo4j_logger
|
||||
import logging
|
||||
import json
|
||||
|
||||
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 {}
|
||||
# Function to retrieve bioguideIds from cache.json file
|
||||
def get_bioguideIds_from_cache():
|
||||
CACHE_PATH = os.getenv("CACHE_PATH")
|
||||
if not CACHE_PATH:
|
||||
logging.error("CACHE_PATH not found in .env file")
|
||||
return None
|
||||
|
||||
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}")
|
||||
if not os.path.exists(CACHE_PATH):
|
||||
logging.error("Cache file not found at specified path")
|
||||
return None
|
||||
|
||||
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}")
|
||||
try:
|
||||
with open(CACHE_PATH, 'r') as file:
|
||||
cache_data = json.load(file)
|
||||
bioguideIds = cache_data.get("bioguideIds", [])
|
||||
if not bioguideIds:
|
||||
logging.error("bioguideIds not found in cache.json")
|
||||
return None
|
||||
return bioguideIds
|
||||
except Exception as e:
|
||||
logging.error(f"Failed to read cache file: {str(e)}")
|
||||
return None
|
||||
|
||||
# Function to flatten nested dictionaries and lists
|
||||
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))))
|
||||
for i, item in enumerate(v):
|
||||
items.append((f"{new_key}_{i}", flatten_dict(item, '', sep=sep)))
|
||||
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, ''))
|
||||
items.append((new_key, v if v is not None and v != "" else "NONE"))
|
||||
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
|
||||
# Function to write data to CSV
|
||||
def write_to_csv(data, filename):
|
||||
keys = set()
|
||||
for item in data:
|
||||
keys.update(item.keys())
|
||||
|
||||
# Print the number of items found in the cache initially
|
||||
initial_bioguideIds_count = len(cache['bioguideIds'])
|
||||
print(f"Initial bioguideIds count: {initial_bioguideIds_count}")
|
||||
with open(filename, 'w', newline='') as output_file:
|
||||
dict_writer = csv.DictWriter(output_file, fieldnames=keys)
|
||||
dict_writer.writeheader()
|
||||
dict_writer.writerows(data)
|
||||
|
||||
processed_legislation_count = 0
|
||||
all_legislation_data = []
|
||||
@bp.route('/get_sponsored', methods=['GET'])
|
||||
def get_sponsored_legislation():
|
||||
try:
|
||||
# Retrieve bioguideIds from cache.json
|
||||
bioguideIds = get_bioguideIds_from_cache()
|
||||
if not bioguideIds:
|
||||
return jsonify({"error": "bioguideIds not found"}), 404
|
||||
|
||||
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
|
||||
all_data = []
|
||||
|
||||
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}")
|
||||
for bioguideId in bioguideIds:
|
||||
# Make request to Congress API
|
||||
api_key = os.getenv("CONGRESS_API_KEY")
|
||||
url = f"https://api.congress.gov/v3/member/{bioguideId}/sponsored-legislation?api_key={api_key}"
|
||||
response = requests.get(url)
|
||||
|
||||
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
|
||||
logging.error(f"Failed to retrieve sponsored legislation for bioguideId {bioguideId}: {response.text}")
|
||||
return jsonify({"error": f"Failed to retrieve data from Congress API for bioguideId {bioguideId}"}), 500
|
||||
|
||||
response_data = response.json()
|
||||
data = response.json().get("sponsoredLegislation", [])
|
||||
|
||||
# Debugging statement to check the raw API response
|
||||
print("Raw API Response:")
|
||||
print(json.dumps(response_data, indent=4))
|
||||
# Add sponsored_by column and handle nested items
|
||||
for item in data:
|
||||
flattened_item = flatten_dict(item)
|
||||
flattened_item["sponsored_by"] = bioguideId
|
||||
if not any(flattened_item.values()):
|
||||
continue # Skip empty rows
|
||||
all_data.append(flattened_item)
|
||||
|
||||
# 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)
|
||||
if not all_data:
|
||||
return jsonify({"error": "No sponsored legislation found for the given bioguideIds"}), 404
|
||||
|
||||
# Debugging statement to check the number of legislation items collected
|
||||
print(f"Number of legislation items collected: {len(all_legislation_data)}")
|
||||
# Write data to CSV
|
||||
csv_filename = f"sponsored_legislation.csv"
|
||||
write_to_csv(all_data, csv_filename)
|
||||
|
||||
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))
|
||||
return jsonify({"message": "Data written to CSV successfully", "filename": csv_filename})
|
||||
|
||||
# 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
|
||||
except Exception as e:
|
||||
logging.error(f"An error occurred: {str(e)}")
|
||||
return jsonify({"error": str(e)}), 500
|
||||
|
||||
Loading…
Reference in New Issue
Block a user