Skip to main content

noqa runner

Project description

noqa-runner

AI-powered mobile test execution runner for iOS applications.

Installation

pip install noqa-runner

Quick Start

CLI

# Run from command line
python -m noqa_runner run \
  --device-id "00008110-001234567890001E" \
  --build-path /path/to/app.ipa \
  --noqa-api-token $NOQA_API_TOKEN \
  --case-input-json '[
    {
      "case_instructions": "Open app and login with valid credentials"
    }
  ]'

Options:

--device-id TEXT              Device UDID for testing [required]
--build-path TEXT             Path to IPA build file [required]
--noqa-api-token TEXT         noqa API authentication token [required]
--case-input-json TEXT        JSON with test cases: [{case_instructions, test_id, case_name?}]
--app-context TEXT            Application context information [optional]
--agent-api-url TEXT          Agent API base URL [optional, default: https://agent.noqa.ai]
--log-level TEXT              Logging level [optional, default: INFO]
--appium-url TEXT             Appium server URL [optional, default: http://localhost:4723]

Note: Either --case-input-json or --case-ids must be provided. bundle_id is extracted automatically from the IPA file.

Python API

from uuid import uuid4
from noqa_runner import RunnerSession, RunnerTestInfo

# Create session
session = RunnerSession()

# Run tests
results = session.run(
    device_id="00008110-001234567890001E",
    build_path="/path/to/app.ipa",
    noqa_api_token="your-token",
    tests=[
        RunnerTestInfo(
            case_instructions="Open app and verify home screen",
        )
    ],
    # Optional parameters with defaults:
    # appium_url="http://localhost:4723",  # default: http://localhost:4723
)

for result in results:
    print(f"Test {result.case_name}: {result.status}")

Logging

All logs are output in JSON format with the following fields:

{
  "event": "test_started",
  "event_type": "progress",
  "test_id": "550e8400-e29b-41d4-a716-446655440000",
  "case_name": "Login Test",
  "timestamp": "2025-10-16T10:30:00Z"
}

Event types:

  • progress - Test execution progress
  • result - Final test result

License

Proprietary - noqa.ai

Support

For issues and questions, please contact sergey@noqa.ai

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

noqa_runner-0.1.8.tar.gz (25.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

noqa_runner-0.1.8-py3-none-any.whl (42.1 kB view details)

Uploaded Python 3

File details

Details for the file noqa_runner-0.1.8.tar.gz.

File metadata

  • Download URL: noqa_runner-0.1.8.tar.gz
  • Upload date:
  • Size: 25.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for noqa_runner-0.1.8.tar.gz
Algorithm Hash digest
SHA256 133589f910e5dc20322516e0796d008adc0f6704745665c6b7c3314e8d036cc6
MD5 171585a9ef86c1537c99a263848be982
BLAKE2b-256 d42ca18b626b45383a636b44edde2c05f45b6542bd507d79526c5f270d9e183f

See more details on using hashes here.

File details

Details for the file noqa_runner-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: noqa_runner-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 42.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for noqa_runner-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 72f9ef88036d495f0e603064e38a40e20fb78a64f7b566b8d8e82fa2bba1163e
MD5 158589c7c93f296c294f2aca7805a966
BLAKE2b-256 2799637d8db60726c5514c07f588a6cbaef305a430b66f4b5e87b48b681a18bb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page