cfc5bb5c35
Set up a full E2E test suite (39 scenarios) using Karate against the real API stack. Hybrid architecture: domain-based features + cross-domain workflows, with data-driven testing and callable helpers. Structure: - e2e/pom.xml: Maven + karate-core 1.5 - 3 helpers (upload, analyze+poll, cleanup) - 3 JSON schemas (health, document, analysis) - 12 feature files across health, documents, analyses, workflows - Tags: @smoke (2), @regression (35), @e2e (2) - generate-test-data.py: fpdf2-based PDF generation (no binaries) Also adds: - RATE_LIMIT_RPM env var to make rate limiter configurable (0=disabled) - CI job e2e with needs: [backend, frontend] - e2e/ in .dockerignore Closes #119
30 lines
989 B
Gherkin
30 lines
989 B
Gherkin
@regression
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Feature: Analysis with different pipeline options (data-driven)
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Background:
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* url baseUrl
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Scenario Outline: Analysis completes with <description>
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# Upload
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* def uploaded = call read('classpath:common/helpers/upload.feature') { file: 'small.pdf' }
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# Create analysis with specific options
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Given path '/api/analyses'
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And request { documentId: '#(uploaded.docId)', pipelineOptions: #(options) }
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When method POST
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Then status 200
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* def jobId = response.id
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# Poll until terminal state
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Given path '/api/analyses', jobId
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And retry until response.status == 'COMPLETED' || response.status == 'FAILED'
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When method GET
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Then status 200
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And match response.status == 'COMPLETED'
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And match response.contentMarkdown == '#string'
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# Cleanup
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* call read('classpath:common/helpers/cleanup.feature') { docId: '#(uploaded.docId)' }
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Examples:
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| read('classpath:common/data/test-cases/pipeline-options.json') |
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