mirror of
https://github.com/logos-storage/logos-storage-pm.git
synced 2026-01-03 05:53:11 +00:00
73 lines
2.8 KiB
Python
73 lines
2.8 KiB
Python
import os
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import requests
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import json
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from datetime import datetime, timedelta
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# Replace with your GitHub username, organization, and personal access token
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username = "JessieBroke"
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organization = "TheBasedmint"
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token = os.getenv("GH_PAT")
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# GitHub API endpoint for listing repositories in the organization
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repositories_url = f"https://api.github.com/orgs/{organization}/repos"
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# Fetch repositories
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response = requests.get(repositories_url, headers={"Authorization": f"Bearer {token}"})
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repositories_data = response.json()
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# Extract repository names from the response
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repositories = [repo["name"] for repo in repositories_data]
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# Calculate the datetime 48 hours ago from now
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time_threshold = datetime.utcnow() - timedelta(hours=48)
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# Create a dictionary to store unique issues based on the combination of issue URL and label name
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unique_issues = {}
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# Iterate through each repository
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for repository in repositories:
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# GitHub API endpoint for listing issue events
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api_url = f"https://api.github.com/repos/{organization}/{repository}/issues/events"
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# Fetch issue events
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response = requests.get(api_url, headers={"Authorization": f"Bearer {token}"})
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events = response.json()
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# Iterate through each event in the list
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for event in events:
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# Extracting information for each event
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event_type = event.get('event')
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created_at_str = event.get('created_at')
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# Convert created_at string to datetime object
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created_at = datetime.strptime(created_at_str, "%Y-%m-%dT%H:%M:%SZ")
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# Check if the event is 'unlabeled' and updated in the past 48 hours
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if event_type == 'unlabeled' and created_at > time_threshold:
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actor_login = event.get('actor', {}).get('login')
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label_name = event.get('label', {}).get('name')
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label_color = event.get('label', {}).get('color')
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issue_url = event.get('issue', {}).get('html_url')
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if actor_login and label_name and label_color and issue_url:
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# Use a unique identifier for each issue-label combination
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unique_identifier = f"{issue_url}_{label_name}"
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# Check if the unique identifier is not already in the dictionary
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if unique_identifier not in unique_issues:
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unique_issues[unique_identifier] = {
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'login': actor_login,
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'label_name': label_name,
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'label_color': label_color,
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'issue_url': issue_url
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}
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# Convert the dictionary values to a list
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filtered_data = list(unique_issues.values())
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# Write the filtered data to a new JSON file
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output_path = os.path.join("output", "vacuum_data.json")
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os.makedirs(os.path.dirname(output_path), exist_ok=True)
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with open(output_path, 'w') as output_file:
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json.dump(filtered_data, output_file, indent=2)
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