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-0.1.8rc3.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-0.1.8rc3-py3-none-any.whl (42.2 kB view details)

Uploaded Python 3

File details

Details for the file noqa_runner-0.1.8rc3.tar.gz.

File metadata

  • Download URL: noqa_runner-0.1.8rc3.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-0.1.8rc3.tar.gz
Algorithm Hash digest
SHA256 578d7646796ad40d164e7e48a6ecd3dc64be2f6dfabb6d6ac2a18ee5f6eaeeda
MD5 5cd93f909ad4907a48224c7f79530ba4
BLAKE2b-256 87d58c2ed122c08ebec8bc38aaa1226faa86ab7fca27bd0be6d45160c1cbdad0

See more details on using hashes here.

File details

Details for the file noqa_runner-0.1.8rc3-py3-none-any.whl.

File metadata

  • Download URL: noqa_runner-0.1.8rc3-py3-none-any.whl
  • Upload date:
  • Size: 42.2 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-0.1.8rc3-py3-none-any.whl
Algorithm Hash digest
SHA256 1b519e0db59cf9b997c7835a4b7d5939419b14688ef03beac09194afa9cab02e
MD5 b91762e8893a3d5d9ac2a34e0809df55
BLAKE2b-256 57bcdc1118e7dfa53e52cf489945163064ace9515e97811d4a6bd0fcee9ac128

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