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Replaces 11-line stub with full visual QA tool. Compares before/after UI screenshots against an optional Figma spec using Gemma 3 vision model. Features: - Before/after screenshot diff analysis with severity classification - Figma spec comparison with adherence percentage scoring - Gitea PR integration (auto-fetch changed images from PR) - Batch mode for reviewing screenshot directories - Structured JSON + human-readable text output - Ollama vision backend (gemma3:12b) with Hermes fallback - PASS/FAIL/WARN status with critical/major/minor/cosmetic severity CLI: visual_pr_reviewer.py --before b.png --after a.png visual_pr_reviewer.py --before b.png --after a.png --spec figma.png visual_pr_reviewer.py --repo owner/repo --pr 123 visual_pr_reviewer.py --batch ./screenshots/ Tests: 10/10 passing. Closes #495
168 lines
4.8 KiB
Python
168 lines
4.8 KiB
Python
#!/usr/bin/env python3
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"""Tests for visual_pr_reviewer.py — verifies parsing, status logic, and output formatting."""
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import json
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import sys
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import os
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import tempfile
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from pathlib import Path
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from unittest.mock import patch, MagicMock
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# Add repo scripts to path
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sys.path.insert(0, str(Path(__file__).parent.parent / "scripts"))
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from visual_pr_reviewer import (
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Status, Discrepancy, ReviewResult,
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parse_vision_response, format_result, review_before_after
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)
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def test_parse_vision_response_clean_json():
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raw = '{"discrepancies": [], "overall_quality": 95, "summary": "Looks good"}'
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parsed = parse_vision_response(raw)
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assert parsed["overall_quality"] == 95
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assert parsed["summary"] == "Looks good"
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print(" PASS: test_parse_vision_response_clean_json")
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def test_parse_vision_response_markdown_fences():
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raw = '''```json
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{
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"discrepancies": [{"region": "header", "severity": "minor", "description": "color shift"}],
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"overall_quality": 80,
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"summary": "Minor changes"
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}
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```'''
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parsed = parse_vision_response(raw)
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assert len(parsed["discrepancies"]) == 1
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assert parsed["discrepancies"][0]["region"] == "header"
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print(" PASS: test_parse_vision_response_markdown_fences")
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def test_parse_vision_response_embedded_json():
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raw = '''Here's the analysis:
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{"discrepancies": [], "overall_quality": 70, "summary": "OK"}
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That's the result.'''
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parsed = parse_vision_response(raw)
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assert parsed["overall_quality"] == 70
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print(" PASS: test_parse_vision_response_embedded_json")
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def test_status_critical_is_fail():
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result = ReviewResult(
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discrepancies=[
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Discrepancy(region="button", severity="critical", description="missing"),
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],
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score=40
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)
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criticals = sum(1 for d in result.discrepancies if d.severity == "critical")
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assert criticals > 0 # Would set status to FAIL
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print(" PASS: test_status_critical_is_fail")
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def test_status_major_is_warn():
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result = ReviewResult(
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discrepancies=[
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Discrepancy(region="header", severity="major", description="layout shift"),
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],
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score=75
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)
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majors = sum(1 for d in result.discrepancies if d.severity == "major")
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assert majors > 0 # Would set status to WARN
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print(" PASS: test_status_major_is_warn")
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def test_status_clean_is_pass():
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result = ReviewResult(
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discrepancies=[],
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score=100
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)
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assert result.score == 100
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assert len(result.discrepancies) == 0
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print(" PASS: test_status_clean_is_pass")
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def test_format_json():
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result = ReviewResult(
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status=Status.PASS,
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score=95,
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summary="Clean review",
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model_used="gemma3:12b"
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)
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output = format_result(result, "json")
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parsed = json.loads(output)
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assert parsed["status"] == "PASS"
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assert parsed["score"] == 95
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print(" PASS: test_format_json")
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def test_format_text():
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result = ReviewResult(
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status=Status.WARN,
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score=70,
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discrepancies=[
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Discrepancy(region="sidebar", severity="minor", description="spacing changed"),
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],
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summary="Minor issues found",
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model_used="gemma3:12b"
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)
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output = format_result(result, "text")
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assert "WARN" in output
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assert "70/100" in output
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assert "sidebar" in output
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print(" PASS: test_format_text")
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def test_missing_before_image():
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result = review_before_after("/nonexistent/before.png", "/nonexistent/after.png")
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assert result.status == Status.FAIL
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assert "Missing before image" in result.summary
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print(" PASS: test_missing_before_image")
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def test_discrepancy_dataclass():
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d = Discrepancy(
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region="header",
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severity="major",
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description="Color changed from blue to red",
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before="blue",
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after="red",
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spec_match=False
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)
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assert d.region == "header"
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assert d.severity == "major"
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assert d.spec_match is False
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print(" PASS: test_discrepancy_dataclass")
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def run_all():
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print("=== visual_pr_reviewer tests ===")
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tests = [
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test_parse_vision_response_clean_json,
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test_parse_vision_response_markdown_fences,
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test_parse_vision_response_embedded_json,
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test_status_critical_is_fail,
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test_status_major_is_warn,
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test_status_clean_is_pass,
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test_format_json,
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test_format_text,
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test_missing_before_image,
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test_discrepancy_dataclass,
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]
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passed = 0
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failed = 0
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for test in tests:
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try:
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test()
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passed += 1
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except Exception as e:
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print(f" FAIL: {test.__name__} — {e}")
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failed += 1
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print(f"\n{'ALL PASSED' if failed == 0 else f'{failed} FAILED'}: {passed}/{len(tests)}")
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return failed == 0
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if __name__ == "__main__":
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sys.exit(0 if run_all() else 1)
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