Delete api_call.py

api_call.py

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