Commit
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083b21d
1
Parent(s):
624710d
clean some code
Browse files- regulatory_comments_api.py +72 -11
regulatory_comments_api.py
CHANGED
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@@ -14,6 +14,7 @@
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import requests
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import datasets
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from datasets import BuilderConfig
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@@ -90,16 +91,69 @@ class RegulationsDataFetcher:
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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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if data
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return None
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docket_info = self.get_docket_info()
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if docket_info
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return None
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nested_data = {
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"id": self.docket_id,
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"agency": self.docket_id.split('-')[0],
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@@ -111,32 +165,39 @@ class RegulationsDataFetcher:
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"comments": []
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}
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if '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 'data' in comment_details and 'attributes' in comment_details['data']:
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comment_data = comment_details['data']['attributes']
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comment_text = (comment_data.get('comment', '') or '').strip()
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if
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# Replace empty commenter_fname with "Anonymous"
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nested_comment = {
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"text": comment_text,
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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'].split('T')[0],
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"comment_time": comment['attributes']['postedDate'].split('T')[1].strip('Z'),
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"commenter_fname": (
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"commenter_lname": (
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"comment_length": len(comment_text)
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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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class RegCommentsAPIConfig(BuilderConfig):
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def __init__(self, api_key=None, docket_ids = None, **kwargs):
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import requests
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import re
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import datasets
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from datasets import BuilderConfig
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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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# if data is None:
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# return None
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# docket_info = self.get_docket_info()
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# if docket_info is None:
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# return None
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# nested_data = {
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# "id": self.docket_id,
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# "agency": self.docket_id.split('-')[0],
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# "title": docket_info[1] if docket_info else "Unknown Title",
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# "update_date": docket_info[2].split('T')[0] if docket_info and docket_info[2] else "Unknown Update Date",
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# "update_time": docket_info[2].split('T')[1].strip('Z') if docket_info and docket_info[2] and 'T' in docket_info[2] else "Unknown Update Time",
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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' 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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# # Here, we extra information and perform cleaning.
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# if 'data' in comment_details and 'attributes' in comment_details['data']:
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# comment_data = comment_details['data']['attributes']
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# comment_text = (comment_data.get('comment', '') or '').strip()
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# comment_text = (comment_text # Doing some extra cleaning
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# .replace("<br/>", "")
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# .replace("<span style='padding-left: 30px'></span>", "")
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# .replace(re.sub(r'&[^;]+;', '', comment_text)))
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# if (comment_text and "attached" not in comment_text.lower() and "attachment" not in comment_text.lower() and comment_text.lower() != "n/a"):
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# nested_comment = {
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# "text": comment_text,
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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'].split('T')[0],
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# "comment_time": comment['attributes']['postedDate'].split('T')[1].strip('Z'),
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# "commenter_fname": ((comment_data.get('firstName') or 'Anonymous').split(',')[0]).capitalize(),
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# "commenter_lname": ((comment_data.get('lastName') or 'Anonymous').split(',')[0]).capitalize(),
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# "comment_length": len(comment_text) if comment_text 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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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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if not data:
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return None
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docket_info = self.get_docket_info()
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if not docket_info:
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return None
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# Starting out with docket information
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nested_data = {
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"id": self.docket_id,
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"agency": self.docket_id.split('-')[0],
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"comments": []
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}
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# Adding in comment information
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if 'data' in data:
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for comment in data['data']:
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if len(nested_data["comments"]) >= 10:
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break
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comment_details = self.fetch_comment_details(comment['links']['self'])
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if 'data' in comment_details and 'attributes' in comment_details['data']:
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comment_data = comment_details['data']['attributes']
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# Basic comment text cleaning
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comment_text = (comment_data.get('comment', '') or '').strip()
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comment_text = comment_text.replace("<br/>", "").replace("<span style='padding-left: 30px'></span>", "")
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comment_text = re.sub(r'&[^;]+;', '', comment_text)
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if comment_text and "attached" not in comment_text.lower() and "attachment" not in comment_text.lower() and comment_text.lower() != "n/a":
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nested_comment = {
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"text": comment_text,
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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'].split('T')[0],
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"comment_time": comment['attributes']['postedDate'].split('T')[1].strip('Z'),
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"commenter_fname": (comment_data.get('firstName', 'Anonymous').split(',')[0]).capitalize(),
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"commenter_lname": (comment_data.get('lastName', 'Anonymous').split(',')[0]).capitalize(),
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"comment_length": len(comment_text)
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}
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nested_data["comments"].append(nested_comment)
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return nested_data
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class RegCommentsAPIConfig(BuilderConfig):
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def __init__(self, api_key=None, docket_ids = None, **kwargs):
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