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Questra Automation Python Package

Project description

seven2one-questra-automation

Type-safe Python client for the Questra Automation GraphQL API.

Features

  • Type-safe: All GraphQL types, queries, and mutations are fully typed with Python dataclasses
  • Authentication: Integrates with questra-authentication for seamless authentication
  • Comprehensive: Supports all Automation API operations (workspaces, repositories, schedules, executions)
  • Modern: Uses latest Python 3.10+ features (native type hints, dataclasses)
  • Well-documented: Extensive docstrings

Installation

Using uv (recommended):

uv add seven2one-questra-automation

Using pip:

pip install seven2one-questra-automation

Requirements

  • Python >= 3.10
  • seven2one-questra-authentication >= 0.2.1
  • gql[all] >= 3.5.0
  • loguru

Setup

Basic Client Initialization

from questra_authentication import QuestraAuthentication
from questra_automation import QuestraAutomation

# Create authentication client
auth_client = QuestraAuthentication(
    url="https://authentik.dev.example.com",
    username="ServiceUser",
    password="secret_password",
    oidc_discovery_paths=["/application/o/automation"],
)

# Initialize Automation client
client = QuestraAutomation(
    graphql_url="https://automation.dev.example.com/graphql",
    auth_client=auth_client,
)

Available API Groups

The client provides access to API operations through namespaces:

  • client.queries: GraphQL queries (get_workspaces, get_executions, get_service_info, etc.)
  • client.mutations: GraphQL mutations (create_workspace, execute_automation, create_schedule, etc.)
  • client.execute_raw(query): Execute custom GraphQL queries

Available Models

Enums

  • ExecutionInitiator: MANUAL, SCRIPT, SCHEDULE
  • RepositoryAuthenticationMethod: USERNAME_PASSWORD, SSH_KEY
  • AutomationBuildStatus: PENDING, RUNNING, FAILED, SUCCEEDED
  • AutomationExecutionStatus: PENDING, RUNNING, SUCCEEDED, FAILED
  • AutomationExecutionDomainStatus: SUCCEEDED, FAILED
  • SortEnumType: ASC, DESC

Types

  • WorkspaceView: Workspace details
  • AutomationView: Automation details
  • AutomationExecutionView: Execution details
  • RepositoryView: Repository details
  • ScheduleView: Schedule details
  • ScheduledExecutionView: Scheduled execution details
  • ServiceInfo: Service information
  • ErrorCodeView: Error code details

Connection Types

All list queries return Connection types with pagination support:

  • AutomationsConnection
  • ExecutionsConnection
  • WorkspacesConnection
  • RepositoriesConnection
  • SchedulesConnection
  • ScheduledExecutionsConnection
  • ErrorCodesConnection

Each Connection provides:

  • page_info: Pagination information
  • edges: List of edges with cursor
  • nodes: Flat list of items
  • total_count: Total count of items

Logging

The client uses loguru for logging. Configure logging via environment variables:

# Set log level (default: WARNING)
export QUESTRA_AUTOMATION_LOG_LEVEL=DEBUG

# Optional: log to file
export QUESTRA_AUTOMATION_LOG_FILE=/path/to/logfile.log

Development

Install development dependencies:

uv sync --all-groups

Run tests:

uv run pytest

Run linting:

uv run ruff check .

Format code:

uv run ruff format .

Schema

The client is based on the GraphQL schema in schema/automation.sdl.

License

Proprietary - Seven2one GmbH

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