GitHub_Get_comments_from_issue.ipynb

Kernel: Python 3

GitHub - Get comments from issue

Give Feedback | Bug report

Tags: #github #comments #issue #automation #snippet

Author: Varsha Kumar

Last update: 2024-06-05 (Created: 2024-06-04)

Description: This notebook allows users to retrieve the comments from an issue.

Input

Import libraries

import requests
import re
import pandas as pd
import naas_python

Setup variables

• github_token: personal token creates

• issue_url: link to the chosen issue

github_token = naas_python.secret.get("GITHUB_TOKEN").value
issue_url = "https://github.com/pola-rs/polars/issues/16661"

Model

Get issues comments

def extract_repo_details(issue_url):
    # Extract owner, repo name, and issue number from the issue URL
    match = re.match(r'https://github\.com/(?P<owner>[^/]+)/(?P<repo>[^/]+)/issues/(?P<number>\d+)', issue_url)
    if not match:
        raise ValueError("Invalid issue URL")
    return match.group('owner'), match.group('repo'), match.group('number')

def get_issue_comments(issue_url):
    # Extract repo details
    repo_owner, repo_name, issue_number = extract_repo_details(issue_url)
    
    # GitHub API URL to get issue comments
    api_url = f"https://api.github.com/repos/{repo_owner}/{repo_name}/issues/{issue_number}/comments"
    headers = {
        'Authorization': f'token {github_token}',
        'Accept': 'application/vnd.github.v3+json'
    }

    response = requests.get(api_url, headers=headers)
    
    if response.status_code == 200:
        return response.json()
    else:
        print(f"Failed to fetch comments: {response.status_code}")
        return []
    
comments = get_issue_comments(issue_url)

Output

Display result

data = []
if len(comments) > 0:
    for comment in comments:
        comment_id = comment['id']
        comment_body = comment['body']
        comment_created_at = comment['created_at']
        user_id = comment['user']['id']
        comment_user_login = comment['user']['login']
        reaction_count = comment['reactions']['total_count']

        data.append({
            "COMMENT_ID": comment_id,
            "CONTENT": comment_body,
            "DATE_TIME": comment_created_at,
            "CREATOR_LOGIN": comment_user_login,
            "USER_ID": user_id,
            "REACTIONS_COUNT": reaction_count
        }) 
df = pd.DataFrame(data)
df