c2b9074ef9
- NEVO dataset (2328 voedingsmiddelen) met zoekfunctie - Dagboek met eetmomenten, koolhydratenlimiet en progress bar - Maaltijden opslaan + nesten in dagboek + eenmalig/permanent bewerken - Portie-systeem met steppers per NEVO-categorie - Vorteq amber/goud branding met Karby logo - Voedingscentrum links per product - 8 Playwright e2e tests (100% groen) - PWA met offline support Kanban board: koolhydraat-app
70 lines
2 KiB
Python
70 lines
2 KiB
Python
#!/usr/bin/env python3
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"""Ad-hoc verification: contrast audit fix checker for koolhydraat-app."""
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import re, sys
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FILES = [
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"/Users/cas/projects/koolhydraat-app/index.html",
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"/Users/cas/projects/koolhydraat-app/docker/index.html",
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]
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REQUIRED_SELECTORS = [
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".food-item-kh",
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".eetmoment-kh",
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".eetmoment-item-kh",
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".total-carb-value",
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".detail-kh-number",
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".portion-preview-value",
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".detail-info-link",
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]
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errors = []
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files_checked = 0
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fixes_found = 0
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for fp in FILES:
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try:
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text = open(fp, "r", encoding="utf-8").read()
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except FileNotFoundError:
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errors.append(f"MISSING: {fp}")
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continue
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files_checked += 1
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lines = text.split("\n")
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for i, line in enumerate(lines, 1):
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stripped = line.strip()
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if re.search(r"(?<!border-)color:\s*var\(--accent\)", stripped):
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errors.append(f"BANNED in {fp}:{i}: {stripped}")
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if re.search(r"color:\s*var\(--primary\)$", stripped):
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errors.append(f"BANNED in {fp}:{i}: {stripped}")
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for sel in REQUIRED_SELECTORS:
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idx = text.find(sel)
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if idx >= 0:
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chunk = text[idx:idx+300]
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if "color: var(--primary-dark)" in chunk:
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fixes_found += 1
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else:
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errors.append(f"MISSING FIX: {sel} in {fp}")
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if errors:
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print("VERIFICATION FAILED")
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for e in errors:
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print(f" \u2717 {e}")
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sys.exit(1)
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else:
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print("VERIFICATION PASSED")
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print(f" Files checked: {files_checked}")
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print(f" Fixes confirmed: {fixes_found}")
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expected = len(REQUIRED_SELECTORS) * files_checked
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print(f" Expected fixes: {expected}")
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print(f" All contrast fixes applied to both files \u2713")
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print()
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print("--- CSS Variables ---")
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for fp in FILES:
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text = open(fp, "r", encoding="utf-8").read()
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for var in ["--primary-dark", "--primary", "--accent"]:
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m = re.search(rf"{var}:\s*(#[0-9A-Fa-f]+)", text)
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if m:
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label = fp.split("/")[-1]
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print(f" {label}: {var} = {m.group(1)}")
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