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 on physical device with local IPA build
python -m noqa_runner run \
  --noqa-api-token $NOQA_API_TOKEN \
  --case-input-json '[
    {
      "case_instructions": "Open app and login with valid credentials"
    }
  ]' \
  --device-id "00008110-001234567890001E" \
  --apple-developer-team-id TEAM123456 \
  --app-bundle-id com.example.app \
  --build-path /path/to/app.ipa

# Run on iOS Simulator with .app build
python -m noqa_runner run \
  --noqa-api-token $NOQA_API_TOKEN \
  --case-input-json '[
    {
      "case_instructions": "Open app and login with valid credentials"
    }
  ]' \
  --simulator-id "SIMULATOR-UDID" \
  --app-bundle-id com.example.app \
  --build-path /path/to/MyApp.app

# Run on device with TestFlight installation
python -m noqa_runner run \
  --noqa-api-token $NOQA_API_TOKEN \
  --case-input-json '[
    {
      "case_instructions": "Open app and verify features"
    }
  ]' \
  --device-id "00008110-001234567890001E" \
  --apple-developer-team-id TEAM123456 \
  --app-bundle-id com.example.app \
  --app-store-id 123456789

Required Options:

--noqa-api-token TEXT         noqa API authentication token [required]
--case-input-json TEXT        JSON with test cases: [{case_instructions, test_id?, case_name?}] [required]
--app-bundle-id TEXT          App bundle ID (auto-extracted from build if not provided) [recommended]

Target Options (choose one):

--device-id TEXT              Device UDID for physical device testing
--simulator-id TEXT           Simulator UDID for simulator testing

**Device-Only Options:**

--apple-developer-team-id TEXT Apple Developer Team ID for code signing [required for devices] --app-store-id TEXT App Store ID for TestFlight installation (device only)


**Installation Options (choose one):**

--build-path TEXT Path to local IPA build file --app-store-id TEXT App Store ID for TestFlight installation


**Other Options:**

--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]


### Python API

```python
from noqa_runner import RunnerSession, RunnerTestInfo

# Create session
session = RunnerSession()

# Run on physical device with local IPA build
results = await session.run(
    noqa_api_token="your-token",
    tests=[
        RunnerTestInfo(
            case_instructions="Open app and verify home screen",
        )
    ],
    device_id="00008110-001234567890001E",
    apple_developer_team_id="TEAM123456",
    app_bundle_id="com.example.app",
    app_build_path="/path/to/app.ipa",
)

# Run on iOS Simulator with .app build
results = await session.run(
    noqa_api_token="your-token",
    tests=[
        RunnerTestInfo(
            case_instructions="Open app and verify home screen",
        )
    ],
    simulator_id="SIMULATOR-UDID",
    app_bundle_id="com.example.app",
    app_build_path="/path/to/MyApp.app",
)

# Run with TestFlight installation
results = session.run(
    noqa_api_token="your-token",
    tests=[
        RunnerTestInfo(
            case_instructions="Open app and verify features",
        )
    ],
    device_id="00008110-001234567890001E",
    apple_developer_team_id="TEAM123456",
    app_bundle_id="com.example.app",
    app_store_id="123456789",
)

Test Results

The CLI returns test results as JSON with detailed information about each test execution:

[
  {
    "case_instructions": "Complete onboarding, check that paywall has products",
    "status": "passed",
    "message": "Test completed",
    "test_conditions": [
      {
        "condition": "Onboarding process was completed successfully",
        "is_verified": true,
        "evidence": "User progressed through multiple onboarding screens, ending with 'Get started' button",
        "step_number": 4,
        "confidence": 100
      },
      ...
    ],
    "steps": [...]
  }
]

Support

For issues and questions https://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-1.0.3.tar.gz (37.7 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-1.0.3-py3-none-any.whl (55.8 kB view details)

Uploaded Python 3

File details

Details for the file noqa_runner-1.0.3.tar.gz.

File metadata

  • Download URL: noqa_runner-1.0.3.tar.gz
  • Upload date:
  • Size: 37.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for noqa_runner-1.0.3.tar.gz
Algorithm Hash digest
SHA256 31f6e1def1afe9c67ec5cc81ef321c738e79670f730d55c83841cbfe2b150376
MD5 c90c40fa3aa94b4e07aa3065dc9d8f1d
BLAKE2b-256 48f6b878e78657890a06e4b9cc39c29b4ba3998d2b5fe6d23c7d283195190b00

See more details on using hashes here.

File details

Details for the file noqa_runner-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: noqa_runner-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 55.8 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-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 ed6a67df6b4d014ad3f0335f3deaeec0d82ade2139e8a12f8a2bf3540ae936f3
MD5 856ba2310f12752d9a3f1aa38106d591
BLAKE2b-256 fff07f1e9905c586161250672a05215700f1ebfa15f59e1b01d44578243c7761

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