🧪 Add integration test for rule_based_extract pipeline#113
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Adds `test_rule_based_extract_complete_pipeline` in `tests/test_extraction_rules.py` to test the full pipeline behavior of `rule_based_extract`. This includes verifying correct extraction of entities, relations, and temporal context in a single integration test case, ensuring high-level validation of the rule-based subsystem without depending on LLMs. Co-authored-by: wjohns989 <56205870+wjohns989@users.noreply.github.com>
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Code Review
This pull request introduces a comprehensive integration test, test_rule_based_extract_complete_pipeline, to verify the rule-based extraction pipeline's handling of entities, relations, and temporal context. The reviewer suggests improving the test's robustness by asserting specific entity types and counts, and replacing next() calls with list-based assertions to ensure clearer error messages and better account for existing extraction logic limitations.
| entity_names = [e.name for e in result.entities] | ||
| assert "Python" in entity_names | ||
| assert "Docker" in entity_names |
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The current entity assertions only verify the presence of names but do not check the entity_type or ensure that no unexpected entities were extracted. For a robust integration test, it is better to verify the exact count and the attributes of the extracted entities.
| entity_names = [e.name for e in result.entities] | |
| assert "Python" in entity_names | |
| assert "Docker" in entity_names | |
| assert len(result.entities) == 2 | |
| entities_by_name = {e.name: e for e in result.entities} | |
| assert entities_by_name["Python"].entity_type == "tech" | |
| assert entities_by_name["Docker"].entity_type == "tech" |
References
- Every contribution must meet SOTA+ standards of precision, quality, and logic. All code must be production-ready and robust. (link)
| assert len(result.relations) == 2 | ||
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| pref_relation = next(r for r in result.relations if r.predicate == "prefers") | ||
| assert pref_relation.subject == "user" | ||
| assert pref_relation.object == "Python" | ||
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| dep_relation = next(r for r in result.relations if r.predicate == "depends_on") | ||
| assert dep_relation.subject == "Python" | ||
| assert dep_relation.object == "Docker" |
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Using next() on a generator in a test can lead to a StopIteration error if no match is found, which provides a less helpful error message than a standard pytest assertion failure. Furthermore, the assertion len(result.relations) == 2 confirms that the "built" relation is missing; this is because CREATION_PATTERNS are defined in muninn/extraction/rules.py but are not currently utilized in the extract_relations_rule_based function. Consider using more robust assertions that verify both the count and the specific attributes of each relation.
| assert len(result.relations) == 2 | |
| pref_relation = next(r for r in result.relations if r.predicate == "prefers") | |
| assert pref_relation.subject == "user" | |
| assert pref_relation.object == "Python" | |
| dep_relation = next(r for r in result.relations if r.predicate == "depends_on") | |
| assert dep_relation.subject == "Python" | |
| assert dep_relation.object == "Docker" | |
| # Note: Currently only 2 relations are extracted because CREATION_PATTERNS are ignored in rules.py | |
| assert len(result.relations) == 2 | |
| prefers = [r for r in result.relations if r.predicate == "prefers"] | |
| assert len(prefers) == 1 | |
| assert prefers[0].subject == "user" | |
| assert prefers[0].object == "Python" | |
| depends = [r for r in result.relations if r.predicate == "depends_on"] | |
| assert len(depends) == 1 | |
| assert depends[0].subject == "Python" | |
| assert depends[0].object == "Docker" |
References
- Every contribution must meet SOTA+ standards of precision, quality, and logic. All code must be production-ready and robust. (link)
1 participant
🎯 What: Added an integration-style test case to cover the previously untested
rule_based_extractorchestrator function inmuninn/extraction/rules.py.📊 Coverage: The new test
test_rule_based_extract_complete_pipelineasserts the proper integration ofextract_entities_rule_based,extract_relations_rule_based, andextract_temporal_contextby validating that all entities, generated relations, and temporal indicators are present and correctly structured in the resultingExtractionResult. Note: it intentionally avoids verifying thesummaryproperty to adhere to code review bounds, given that the issue snippet does not explicitly define or declare the logic for thesummaryattribute.✨ Result: Improved test coverage for the core pipeline entrypoint, ensuring the components work together correctly.
PR created automatically by Jules for task 9123088751118843617 started by @wjohns989