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Testing sMAP

This document describes how to run the test suites for sMAP.

1. Running with Docker (Recommended)

The easiest way to run the tests is using the provided Docker environment, which includes all necessary dependencies (Python 2.7, Twisted, NumPy, SciPy, etc.).

Build the Test Image

docker build -t smap:ci .

Run All Python Tests

docker run --rm smap:ci trial smap

Run Specific Test Suites

  • Core Logic: docker run --rm smap:ci trial smap.test
  • Data Operators: docker run --rm smap:ci trial smap.ops.test
  • Archiver Cache: docker run --rm smap:ci trial smap.archiver.test

Run Schema Validation

docker run --rm smap:ci bash -c "cd schema/test && python test.py"

2. Running Locally

To run tests locally, you need Python 2.7 and the dependencies listed in python/requirements.txt and Dockerfile.

Setup

cd python
export PYTHONPATH=$PYTHONPATH:.

Run Tests

trial smap

3. Continuous Integration

The project is configured with GitLab CI. Every push triggers the .gitlab-ci.yml pipeline, which:

  1. Builds the Docker image.
  2. Runs unit tests for core logic and operators.
  3. Runs archiver cache tests.
  4. Validates Avro schemas.

Refer to .gitlab-ci.yml for the detailed pipeline configuration.