Delete api_call.py
Browse files- api_call.py +0 -152
api_call.py
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import requests
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import json
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def get_docket_ids(search_term):
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url = f"https://api.regulations.gov/v4/dockets"
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params = {
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'filter[searchTerm]': search_term,
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'api_key': "your_api_key"
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}
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response = requests.get(url, params=params)
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if response.status_code == 200:
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data = response.json()
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dockets = data['data']
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docket_ids = [docket['id'] for docket in dockets]
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return docket_ids
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else:
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return f"Error: {response.status_code}"
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class RegulationsDataFetcher:
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API_KEY = "your_api_key"
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BASE_COMMENT_URL = 'https://api.regulations.gov/v4/comments'
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BASE_DOCKET_URL = 'https://api.regulations.gov/v4/dockets/'
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HEADERS = {
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'X-Api-Key': API_KEY,
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'Content-Type': 'application/json'
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}
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def __init__(self, docket_id):
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self.docket_id = docket_id
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self.docket_url = self.BASE_DOCKET_URL + docket_id
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self.dataset = []
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def fetch_comments(self):
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"""Fetch a single page of 25 comments."""
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url = f'{self.BASE_COMMENT_URL}?filter[docketId]={self.docket_id}&page[number]=1&page[size]=25'
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response = requests.get(url, headers=self.HEADERS)
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if response.status_code == 200:
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return response.json()
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else:
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print(f'Failed to retrieve comments: {response.status_code}')
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return None
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def get_docket_info(self):
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"""Get docket information."""
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response = requests.get(self.docket_url, headers=self.HEADERS)
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if response.status_code == 200:
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docket_data = response.json()
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return (docket_data['data']['attributes']['agencyId'],
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docket_data['data']['attributes']['title'],
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docket_data['data']['attributes']['modifyDate'],
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docket_data['data']['attributes']['docketType'],
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docket_data['data']['attributes']['keywords'])
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else:
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print(f'Failed to retrieve docket info: {response.status_code}')
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return None
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def fetch_comment_details(self, comment_url):
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"""Fetch detailed information of a comment."""
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response = requests.get(comment_url, headers=self.HEADERS)
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if response.status_code == 200:
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return response.json()
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else:
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print(f'Failed to retrieve comment details: {response.status_code}')
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return None
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def collect_data(self):
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"""Collect data and reshape into nested dictionary format."""
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data = self.fetch_comments()
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docket_info = self.get_docket_info()
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# Initialize the nested dictionary structure
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nested_data = {
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"id": self.docket_id,
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"title": docket_info[1] if docket_info else "Unknown Title",
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"context": docket_info[2] if docket_info else "Unknown Context",
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"purpose": docket_info[3],
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"keywords": docket_info[4],
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"comments": []
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}
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if data and 'data' in data:
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for comment in data['data']:
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comment_details = self.fetch_comment_details(comment['links']['self'])
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if comment_details and 'data' in comment_details and 'attributes' in comment_details['data']:
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comment_data = comment_details['data']['attributes']
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nested_comment = {
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"text": comment_data.get('comment', ''),
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"comment_id": comment['id'],
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"comment_url": comment['links']['self'],
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"comment_date": comment['attributes']['postedDate'],
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"comment_title": comment['attributes']['title'],
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"commenter_fname": comment_data.get('firstName', ''),
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"commenter_lname": comment_data.get('lastName', ''),
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"comment_length": len(comment_data.get('comment', '')) if comment_data.get('comment') is not None else 0
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}
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nested_data["comments"].append(nested_comment)
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if len(nested_data["comments"]) >= 10:
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break
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return nested_data
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# CREATING DATASET
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opioid_related_terms = [
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# Types of Opioids
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"opioids",
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"heroin",
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"morphine",
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"fentanyl",
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"methadone",
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"oxycodone",
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"hydrocodone",
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"codeine",
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"tramadol",
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"prescription opioids",
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# Withdrawal Support
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"lofexidine",
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"buprenorphine",
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"naloxone",
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# Related Phrases
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"opioid epidemic",
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"opioid abuse",
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"opioid crisis",
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"opioid overdose"
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"opioid tolerance",
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"opioid treatment program",
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"medication assisted treatment",
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]
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docket_ids = set()
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all_data = []
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for term in opioid_related_terms:
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docket_ids.update(get_docket_ids(term))
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for docket_id in docket_ids:
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fetcher = RegulationsDataFetcher(docket_id)
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docket_data = fetcher.collect_data()
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if len(docket_data["comments"])!=0:
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print(f'{docket_id} has comments')
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all_data.append(docket_data)
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json_file_path = 'docket_comments.json'
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with open(json_file_path, 'w') as f:
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json.dump(all_data, f)
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