GitHub
This notebooks shows how you can load issues and pull requests (PRs) for a given repository on GitHub. Also shows how you can load github files for a given repository on GitHub. We will use the LangChain Python repository as an example.
Setup access tokenโ
To access the GitHub API, you need a personal access token - you can set up yours here: https://github.com/settings/tokens?type=beta. You can either set this token as the environment variable GITHUB_PERSONAL_ACCESS_TOKEN
and it will be automatically pulled in, or you can pass it in directly at initialization as the access_token
named parameter.
# If you haven't set your access token as an environment variable, pass it in here.
from getpass import getpass
ACCESS_TOKEN = getpass()
Load Issues and PRsโ
from langchain_community.document_loaders import GitHubIssuesLoader
loader = GitHubIssuesLoader(
repo="langchain-ai/langchain",
access_token=ACCESS_TOKEN, # delete/comment out this argument if you've set the access token as an env var.
creator="UmerHA",
)
Let's load all issues and PRs created by "UmerHA".
Here's a list of all filters you can use:
- include_prs
- milestone
- state
- assignee
- creator
- mentioned
- labels
- sort
- direction
- since
For more info, see https://docs.github.com/en/rest/issues/issues?apiVersion=2022-11-28#list-repository-issues.
docs = loader.load()
print(docs[0].page_content)
print(docs[0].metadata)
Only load issuesโ
By default, the GitHub API returns considers pull requests to also be issues. To only get 'pure' issues (i.e., no pull requests), use include_prs=False
loader = GitHubIssuesLoader(
repo="langchain-ai/langchain",
access_token=ACCESS_TOKEN, # delete/comment out this argument if you've set the access token as an env var.
creator="UmerHA",
include_prs=False,
)
docs = loader.load()
print(docs[0].page_content)
print(docs[0].metadata)
Load Github File Contentโ
For below code, loads all markdown file in rpeo langchain-ai/langchain
from langchain_community.document_loaders import GithubFileLoader
loader = GithubFileLoader(
repo="langchain-ai/langchain", # the repo name
branch="master", # the branch name
access_token=ACCESS_TOKEN,
github_api_url="https://api.github.com",
file_filter=lambda file_path: file_path.endswith(
".md"
), # load all markdowns files.
)
documents = loader.load()
example output of one of document:
document.metadata:
{
"path": "README.md",
"sha": "82f1c4ea88ecf8d2dfsfx06a700e84be4",
"source": "https://github.com/langchain-ai/langchain/blob/master/README.md"
}
document.content:
mock content
Relatedโ
- Document loader conceptual guide
- Document loader how-to guides