pjdev-gitlab 5.1.9

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pjdev-gitlab

Async GitLab automation SDK. Wraps both the GitLab REST API v4 and GraphQL API directly with httpx.AsyncClient and Pydantic models. Covers issues, workItems (the GraphQL replacement for issues — status, comments, labels), merge requests, repository files, and the generic package registry.

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Installation

pip install pjdev-gitlab

Configuration

pjdev-gitlab reads GL_* environment variables (or accepts the same values via init()):

variable	required	purpose
GL_TOKEN	yes	access token (api scope) — a PAT, or an OAuth token with GL_AUTH_SCHEME=bearer
GL_GITLAB_URL	yes	base URL, e.g. https://gitlab.com
GL_AUTH_SCHEME	no	private-token (default, PAT header) or bearer (OAuth access token)
GL_DEFAULT_PROJECT_ID	no	default project for service helpers
GL_OUTPUT_PATH	no	directory for downloaded files

OAuth 2.0 (per-user attribution)

To attribute API writes to a real person instead of a shared bot token, mint a short-lived OAuth access token with the interactive Authorization Code + PKCE flow and initialize with auth_scheme="bearer":

from pjdev_gitlab import config_service, oauth_service

# Opens a browser for sign-in/consent on first run; caches + refreshes the token
# per host under ~/.config/pjdev-gitlab/tokens/ (0600) on subsequent runs.
token = oauth_service.get_access_token(
    gitlab_url="https://gitlab.example.com",
    client_id="<registered PKCE app client id>",
)
config_service.init(
    token=token, gitlab_url="https://gitlab.example.com", auth_scheme="bearer"
)

The OAuth application must be registered as a non-confidential (PKCE) app with scope api and Redirect URI exactly http://localhost:7331/callback (override the port via get_access_token(redirect_port=...)). A bearer token is sent as Authorization: Bearer <token>; the default private-token scheme sends PRIVATE-TOKEN for personal/project/group access tokens.

Recommended: 1Password + op run

On a developer laptop, keep the token in 1Password and inject it into the host process with op run — the secret never sits in your shell environment or on disk in plaintext.

1. Install the 1Password CLI (brew install --cask 1password-cli) and turn on Settings → Developer → Integrate with 1Password CLI in the desktop app.

2. Store the token in 1Password (e.g. an API Credential titled GitLab — purplejay with a credential field).

3. Drop a committable .env.op next to your project — references only, no real secrets:

   # .env.op
   GL_TOKEN="op://Private/GitLab — purplejay/credential"
   GL_GITLAB_URL="https://gitlab.purplejay.io"
   

4. Launch your script — or the entire Claude Code session that will use this library — under op run:

   op run --env-file=.env.op -- python my_script.py
   op run --env-file=.env.op -- claude
   

op run resolves the references, exports them to the subprocess, and tears them down on exit. Inside Python, just call config_service.init() with no arguments and the values flow in from the environment.

In CI, skip 1Password and set GL_TOKEN/GL_GITLAB_URL from the job's existing variables (e.g. CI_JOB_TOKEN for project-scoped operations).

Usage

import asyncio
from pjdev_gitlab import config_service, issues_service
from pjdev_gitlab.models import StateEvent

async def main() -> None:
    # Token & URL come from GL_TOKEN / GL_GITLAB_URL (e.g. via `op run`).
    config_service.init(default_project_id="my-group/my-project")

    issue = await issues_service.create_issue(
        project_id="my-group/my-project",
        title="Bug: timeout on /widgets",
        description="The endpoint times out under load.\n\n/label ~bug ~priority::high",
        labels=["bug"],
    )
    await issues_service.comment_on_issue(
        project_id="my-group/my-project",
        issue_iid=issue.iid,
        body="Investigating now.",
    )
    await issues_service.set_issue_state(
        project_id="my-group/my-project",
        issue_iid=issue.iid,
        state_event=StateEvent.close,
    )

asyncio.run(main())

Run it: op run --env-file=.env.op -- python my_script.py.

WorkItems (GraphQL)

workItem is GitLab's unified replacement for the legacy Issue type — use work_items_service for status/comments/labels on modern GitLab instances:

import asyncio
from pjdev_gitlab import config_service, work_items_service
from pjdev_gitlab.models import WorkItemState, WorkItemStateEvent

async def main() -> None:
    config_service.init()

    open_bugs = await work_items_service.search_work_items(
        project_path="my-group/my-project",
        state=WorkItemState.OPEN,
        labels=["bug"],
        search="timeout",
    )

    label = await work_items_service.create_label(
        "needs-review", project_path="my-group/my-project", color="#FFAA00"
    )
    await work_items_service.set_work_item_labels(
        open_bugs[0].iid,
        [label.id],
        mode="add",
        project_path="my-group/my-project",
    )
    await work_items_service.comment_on_work_item(
        open_bugs[0].iid,
        "Triaged — assigning a reviewer.",
        project_path="my-group/my-project",
    )
    await work_items_service.set_work_item_state(
        open_bugs[0].iid, WorkItemStateEvent.CLOSE,
        project_path="my-group/my-project",
    )

asyncio.run(main())

Bundled agent skills

Skill files for AI agents ship under .agents/skills/ inside the installed package, following the library-skills.io convention. Topics: issues, workItems, merge requests, repository files, generic packages.

License

pjdev-gitlab is distributed under the terms of the MIT license.