chore(backend): deprecation sweep — Pydantic V1 -> V2, utcnow -> tz-aware
Two low-risk Pydantic V1 idioms that will be hard errors in V3:
- Query(regex=...) -> Query(pattern=...) (audit_routes, control_generator_routes)
- class Config: from_attributes=True -> model_config = ConfigDict(...)
in source_policy_router.py (schemas.py is intentionally skipped — it is
the Phase 1 schema-split target and the ConfigDict conversion is most
efficient to do during that split).
Naive -> aware datetime sweep across 47 files:
- datetime.utcnow() -> datetime.now(timezone.utc)
- default=datetime.utcnow -> default=lambda: datetime.now(timezone.utc)
- onupdate=datetime.utcnow -> onupdate=lambda: datetime.now(timezone.utc)
All SQLAlchemy DateTime columns in the project already declare
timezone=True, so the DB schema expects aware datetimes. Before this
commit, the in-Python side was generating naive values and the driver
was silently coercing them. This is a latent-bug fix, not a behavior
change at the DB boundary.
Verified:
- 173/173 pytest compliance/tests/ pass (same as baseline)
- tests/contracts/test_openapi_baseline.py passes (360 paths,
484 operations unchanged)
- DeprecationWarning count dropped from 158 -> 35
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -16,7 +16,7 @@ Uses reportlab for PDF generation (lightweight, no external dependencies).
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import io
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import logging
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from datetime import datetime
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from datetime import datetime, timezone
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from typing import Dict, List, Any, Optional, Tuple
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from sqlalchemy.orm import Session
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@@ -255,7 +255,7 @@ class AuditPDFGenerator:
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doc.build(story)
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# Generate filename
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date_str = datetime.utcnow().strftime('%Y%m%d')
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date_str = datetime.now(timezone.utc).strftime('%Y%m%d')
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filename = f"audit_report_{session.name.replace(' ', '_')}_{date_str}.pdf"
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return buffer.getvalue(), filename
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@@ -429,7 +429,7 @@ class AuditPDFGenerator:
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story.append(Spacer(1, 30*mm))
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gen_label = 'Generiert am' if language == 'de' else 'Generated on'
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story.append(Paragraph(
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f"{gen_label}: {datetime.utcnow().strftime('%d.%m.%Y %H:%M')} UTC",
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f"{gen_label}: {datetime.now(timezone.utc).strftime('%d.%m.%Y %H:%M')} UTC",
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self.styles['Footer']
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))
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@@ -11,7 +11,7 @@ Sprint 6: CI/CD Evidence Collection (2026-01-18)
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"""
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import logging
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from datetime import datetime
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from datetime import datetime, timezone
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from typing import Dict, List, Optional
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from dataclasses import dataclass
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from enum import Enum
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@@ -140,7 +140,7 @@ class AutoRiskUpdater:
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if new_status != old_status:
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control.status = ControlStatusEnum(new_status)
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control.status_notes = self._generate_status_notes(scan_result)
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control.updated_at = datetime.utcnow()
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control.updated_at = datetime.now(timezone.utc)
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control_updated = True
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logger.info(f"Control {scan_result.control_id} status changed: {old_status} -> {new_status}")
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@@ -225,7 +225,7 @@ class AutoRiskUpdater:
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source="ci_pipeline",
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ci_job_id=scan_result.ci_job_id,
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status=EvidenceStatusEnum.VALID,
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valid_from=datetime.utcnow(),
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valid_from=datetime.now(timezone.utc),
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collected_at=scan_result.timestamp,
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)
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@@ -298,8 +298,8 @@ class AutoRiskUpdater:
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risk_updated = True
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if risk_updated:
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risk.last_assessed_at = datetime.utcnow()
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risk.updated_at = datetime.utcnow()
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risk.last_assessed_at = datetime.now(timezone.utc)
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risk.updated_at = datetime.now(timezone.utc)
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affected_risks.append(risk.risk_id)
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logger.info(f"Updated risk {risk.risk_id} due to control {control.control_id} status change")
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@@ -354,7 +354,7 @@ class AutoRiskUpdater:
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try:
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ts = datetime.fromisoformat(timestamp.replace('Z', '+00:00'))
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except (ValueError, AttributeError):
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ts = datetime.utcnow()
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ts = datetime.now(timezone.utc)
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# Determine scan type from evidence_type
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scan_type = ScanType.SAST # Default
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@@ -16,7 +16,7 @@ import os
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import shutil
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import tempfile
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import zipfile
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from datetime import datetime, date
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from datetime import datetime, date, timezone
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from pathlib import Path
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from typing import Dict, List, Optional, Any
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@@ -98,7 +98,7 @@ class AuditExportGenerator:
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export_record.file_hash = file_hash
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export_record.file_size_bytes = file_size
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export_record.status = ExportStatusEnum.COMPLETED
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export_record.completed_at = datetime.utcnow()
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export_record.completed_at = datetime.now(timezone.utc)
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# Calculate statistics
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stats = self._calculate_statistics(
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@@ -11,7 +11,7 @@ Similar pattern to edu-search and zeugnisse-crawler.
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import logging
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import re
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from datetime import datetime
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from datetime import datetime, timezone
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from typing import Dict, List, Any, Optional
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from enum import Enum
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@@ -198,7 +198,7 @@ class RegulationScraperService:
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async def scrape_all(self) -> Dict[str, Any]:
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"""Scrape all known regulation sources."""
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self.status = ScraperStatus.RUNNING
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self.stats["last_run"] = datetime.utcnow().isoformat()
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self.stats["last_run"] = datetime.now(timezone.utc).isoformat()
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results = {
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"success": [],
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@@ -11,7 +11,7 @@ Reports include:
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"""
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import logging
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from datetime import datetime, date, timedelta
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from datetime import datetime, date, timedelta, timezone
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from typing import Dict, List, Any, Optional
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from enum import Enum
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@@ -75,7 +75,7 @@ class ComplianceReportGenerator:
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report = {
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"report_metadata": {
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"generated_at": datetime.utcnow().isoformat(),
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"generated_at": datetime.now(timezone.utc).isoformat(),
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"period": period.value,
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"as_of_date": as_of_date.isoformat(),
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"date_range_start": date_range["start"].isoformat(),
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@@ -415,7 +415,7 @@ class ComplianceReportGenerator:
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evidence_stats = self.evidence_repo.get_statistics()
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return {
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"generated_at": datetime.utcnow().isoformat(),
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"generated_at": datetime.now(timezone.utc).isoformat(),
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"compliance_score": stats.get("compliance_score", 0),
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"controls": {
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"total": stats.get("total", 0),
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