To get a list of all issues for https://github.com/LemmyNet/lemmy from the GitHub API, you can use the following steps:
-
First, you need to obtain a personal access token from GitHub. You can follow the instructions given in this link to create a personal access token: https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token
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Once you have obtained the personal access token, you can use it to authenticate your requests to the GitHub API. You can use any HTTP client library to make requests to the GitHub API. In this example, we will use the
requestslibrary in Python. -
To get a list of all issues for https://github.com/LemmyNet/lemmy, you can make a GET request to the following URL:
https://api.github.com/repos/LemmyNet/lemmy/issues
- You need to pass the personal access token as a header in the request. The header should be of the form:
Authorization: Bearer <personal-access-token>
Here’s an example Python code snippet that demonstrates how to get a list of all issues for https://github.com/LemmyNet/lemmy using the GitHub API:
import requests
# Replace <personal-access-token> with your personal access token
headers = {
'Authorization': 'Bearer <personal-access-token>',
}
url = 'https://api.github.com/repos/LemmyNet/lemmy/issues'
response = requests.get(url, headers=headers)
# Print the response content
print(response.content)
This code snippet makes a GET request to the GitHub API to get a list of all issues for https://github.com/LemmyNet/lemmy. The personal access token is passed as a header in the request. The response content is printed to the console. You can modify this code snippet to suit your needs.
Citations: [1] https://github.com/LemmyNet/lemmy [2] https://github.com/LemmyNet/lemmy/issues [3] https://github.com/LemmyNet/lemmy/issues/2937 [4] https://github.com/LemmyNet/lemmy-docs/issues [5] https://github.com/LemmyNet/lemmy/issues/3366 [6] https://github.com/LemmyNet/lemmy/issues/1368
To get only issues instead of issues and pull requests in Python using the GitHub API, you can add a query parameter to the issues URL. The query parameter is
type=issue. Here’s an example:issues_url = f"{GITHUB_API_BASE}/repos/{github_repo}/issues?type=issue" issues: list[dict[str, Any]] = fetch_github_data(issues_url)In this example,
GITHUB_API_BASEis the base URL for the GitHub API, andgithub_repois the name of the repository you want to fetch issues from. Thetype=issuequery parameter tells the GitHub API to only return issues, not pull requests.Note that
fetch_github_data()is a custom function that you need to define yourself. It should take a URL as input and return the data from that URL in the form of a list of dictionaries, where each dictionary represents an issue or pull request. You can use therequestslibrary to make HTTP requests to the GitHub API and get the data. Here’s an example implementation offetch_github_data():import requests from typing import Any, Dict, List def fetch_github_data(url: str) -> List[Dict[str, Any]]: response = requests.get(url) if response.status_code == 200: return response.json() else: raise Exception(f"Failed to fetch data from {url}. Status code: {response.status_code}")This function sends an HTTP GET request to the specified URL and returns the response data as a list of dictionaries. If the request fails, it raises an exception with an error message.
Citations: [1] https://gist.github.com/91e8fafbfbabf7af8b00 [2] https://stackoverflow.com/questions/57661158/how-to-list-all-issues-on-an-enterprise-github-using-pygithub [3] https://martinheinz.dev/blog/25 [4] https://pygithub.readthedocs.io/en/latest/examples/Repository.html [5] https://melaniesoek0120.medium.com/how-to-use-github-api-to-extract-data-with-python-bdc61106a501 [6] https://towardsdatascience.com/introduction-to-git-data-extraction-and-analysis-in-python-e7e2bf9b4606