Python Modules

A Python module is named code that is injected into every Python execution in your organization. Define a function once and call it everywhere, with no import.

Use it for anything you would otherwise paste into several places: an API wrapper, shared formatting, a lookup table, the constants your team keeps re-typing.

Modules live under Settings → Python Modules.

Writing one

Define plain top-level functions:

TEAM_QUEUES = {
    "web": "Web Team",
    "warehouse": "Warehouse",
}


def team_label(team_key):
    """Human name for a team key."""
    return TEAM_QUEUES.get(team_key, team_key)


def monday_request(query):
    """Call Monday's GraphQL API with the org's stored credentials."""
    response = requests.post(
        "https://api.monday.com/v2",
        headers={"Authorization": get_secret("MONDAY_API_KEY")},
        json={"query": query},
        timeout=30,
    )
    response.raise_for_status()
    return response.json()

Then call them from anywhere:

def execute_action(context):
    boards = monday_request("{ boards(limit: 5) { id name } }")
    return {"team": team_label("web"), "boards": boards}

Rules

• Module contents are injected, not imported. The name identifies the module in the dashboard; it does not namespace the functions.
• Modules load after the built-in helpers, so a function you define with the same name as a built-in wins.
• Inactive modules are not injected. Toggle a module off to take it out of circulation without deleting it.

Where they apply