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feat: Add PWA support and consolidate CSS design system

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- Add PWA manifest, icons (192x192, 512x512), and service worker
- Register service worker in index.html with Apple mobile web app support
- Consolidate CSS variables and design tokens documentation
- Update PrimeVue overrides for consistent theming
- Refactor data-entry components to use shared CSS patterns
- Add frontend-style-auditor agent for style consistency checks
- Minor OCR validation and job worker improvements
- Update start-prod.sh configuration

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Claude Agent
2026-01-06 14:00:21 +00:00
parent b2fe26da3a
commit 1bb3a382de
33 changed files with 1846 additions and 513 deletions
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16
backend/modules/data_entry/services/ocr/validation.py
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@@ -238,7 +238,7 @@ class PaymentSumRule(ValidationRule):
return ValidationResult(
is_valid=False,
confidence_penalty=0.4,
message=f"Payment sum {payment_sum:.2f} RON ≠ Total {total:.2f} RON (diff: {diff:.2f} RON). Consider auto-correction.",
message=f"Payment sum {payment_sum:.2f} RON != Total {total:.2f} RON (diff: {diff:.2f} RON). Consider auto-correction.",
severity="error"
)
@@ -299,7 +299,7 @@ class TVAEntriesSumRule(ValidationRule):
return ValidationResult(
is_valid=False,
confidence_penalty=0.2,
message=f"TVA entries sum {entries_sum:.2f} RON ≠ TVA total {tva_total:.2f} RON (diff: {diff:.2f} RON)",
message=f"TVA entries sum {entries_sum:.2f} RON != TVA total {tva_total:.2f} RON (diff: {diff:.2f} RON)",
severity="warning"
)
@@ -783,7 +783,7 @@ class OCRValidationEngine:
else:
warnings.append(msg)
print(f" ❌ {msg}", flush=True)
print(f" [X] {msg}", flush=True)
# Track confidence penalty for the relevant field based on rule
if result.confidence_penalty > 0:
@@ -797,7 +797,7 @@ class OCRValidationEngine:
if f in extraction_result:
confidence_adjustments[f] = result.confidence_penalty
else:
print(f" ✅ {rule.rule_name}: {result.message}", flush=True)
print(f" [OK] {rule.rule_name}: {result.message}", flush=True)
# Step 2: Cross-field validation
print("\n[Validation] Step 2: Cross-field validation...", flush=True)
@@ -812,7 +812,7 @@ class OCRValidationEngine:
else:
warnings.append(msg)
print(f" ❌ {msg}", flush=True)
print(f" [X] {msg}", flush=True)
# Track confidence penalty for the relevant field based on rule
if result.confidence_penalty > 0:
@@ -826,7 +826,7 @@ class OCRValidationEngine:
if f in extraction_result:
confidence_adjustments[f] = result.confidence_penalty
else:
print(f" ✅ {rule.rule_name}: {result.message}", flush=True)
print(f" [OK] {rule.rule_name}: {result.message}", flush=True)
# Step 3: Inter-OCR consistency checks
if light_result and medium_result:
@@ -845,7 +845,7 @@ class OCRValidationEngine:
if not result.is_valid:
msg = f"[Inter-OCR] {result.message}"
warnings.append(msg)
print(f" ❌ {msg}", flush=True)
print(f" [X] {msg}", flush=True)
# Store ratio for metadata
ratio = max(
@@ -854,7 +854,7 @@ class OCRValidationEngine:
) / min(light_result["amount"], medium_result["amount"])
inter_ocr_ratios["amount"] = ratio
else:
print(f" ✅ {result.message}", flush=True)
print(f" [OK] {result.message}", flush=True)
# Determine if manual review is needed
# Only flag for review if there are errors OR high-severity warnings