Squash of branch refactor/phase0-guardrails-and-models-split — 4 commits,
81 files, 173/173 pytest green, OpenAPI contract preserved (360 paths /
484 operations).
## Phase 0 — Architecture guardrails
Three defense-in-depth layers to keep the architecture rules enforced
regardless of who opens Claude Code in this repo:
1. .claude/settings.json PreToolUse hook on Write/Edit blocks any file
that would exceed the 500-line hard cap. Auto-loads in every Claude
session in this repo.
2. scripts/githooks/pre-commit (install via scripts/install-hooks.sh)
enforces the LOC cap locally, freezes migrations/ without
[migration-approved], and protects guardrail files without
[guardrail-change].
3. .gitea/workflows/ci.yaml gains loc-budget + guardrail-integrity +
sbom-scan (syft+grype) jobs, adds mypy --strict for the new Python
packages (compliance/{services,repositories,domain,schemas}), and
tsc --noEmit for admin-compliance + developer-portal.
Per-language conventions documented in AGENTS.python.md, AGENTS.go.md,
AGENTS.typescript.md at the repo root — layering, tooling, and explicit
"what you may NOT do" lists. Root CLAUDE.md is prepended with the six
non-negotiable rules. Each of the 10 services gets a README.md.
scripts/check-loc.sh enforces soft 300 / hard 500 and surfaces the
current baseline of 205 hard + 161 soft violations so Phases 1-4 can
drain it incrementally. CI gates only CHANGED files in PRs so the
legacy baseline does not block unrelated work.
## Deprecation sweep
47 files. Pydantic V1 regex= -> pattern= (2 sites), class Config ->
ConfigDict in source_policy_router.py (schemas.py intentionally skipped;
it is the Phase 1 Step 3 split target). datetime.utcnow() ->
datetime.now(timezone.utc) everywhere including SQLAlchemy default=
callables. All DB columns already declare timezone=True, so this is a
latent-bug fix at the Python side, not a schema change.
DeprecationWarning count dropped from 158 to 35.
## Phase 1 Step 1 — Contract test harness
tests/contracts/test_openapi_baseline.py diffs the live FastAPI /openapi.json
against tests/contracts/openapi.baseline.json on every test run. Fails on
removed paths, removed status codes, or new required request body fields.
Regenerate only via tests/contracts/regenerate_baseline.py after a
consumer-updated contract change. This is the safety harness for all
subsequent refactor commits.
## Phase 1 Step 2 — models.py split (1466 -> 85 LOC shim)
compliance/db/models.py is decomposed into seven sibling aggregate modules
following the existing repo pattern (dsr_models.py, vvt_models.py, ...):
regulation_models.py (134) — Regulation, Requirement
control_models.py (279) — Control, Mapping, Evidence, Risk
ai_system_models.py (141) — AISystem, AuditExport
service_module_models.py (176) — ServiceModule, ModuleRegulation, ModuleRisk
audit_session_models.py (177) — AuditSession, AuditSignOff
isms_governance_models.py (323) — ISMSScope, Context, Policy, Objective, SoA
isms_audit_models.py (468) — Finding, CAPA, MgmtReview, InternalAudit,
AuditTrail, Readiness
models.py becomes an 85-line re-export shim in dependency order so
existing imports continue to work unchanged. Schema is byte-identical:
__tablename__, column definitions, relationship strings, back_populates,
cascade directives all preserved.
All new sibling files are under the 500-line hard cap; largest is
isms_audit_models.py at 468. No file in compliance/db/ now exceeds
the hard cap.
## Phase 1 Step 3 — infrastructure only
backend-compliance/compliance/{schemas,domain,repositories}/ packages
are created as landing zones with docstrings. compliance/domain/
exports DomainError / NotFoundError / ConflictError / ValidationError /
PermissionError — the base classes services will use to raise
domain-level errors instead of HTTPException.
PHASE1_RUNBOOK.md at backend-compliance/PHASE1_RUNBOOK.md documents
the nine-step execution plan for Phase 1: snapshot baseline,
characterization tests, split models.py (this commit), split schemas.py
(next), extract services, extract repositories, mypy --strict, coverage.
## Verification
backend-compliance/.venv-phase1: uv python install 3.12 + pip -r requirements.txt
PYTHONPATH=. pytest compliance/tests/ tests/contracts/
-> 173 passed, 0 failed, 35 warnings, OpenAPI 360/484 unchanged
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
142 lines
4.8 KiB
Python
142 lines
4.8 KiB
Python
"""
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AI System & Audit Export models — extracted from compliance/db/models.py.
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Covers AI Act system registration/classification and the audit export package
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tracker. Re-exported from ``compliance.db.models`` for backwards compatibility.
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DO NOT change __tablename__, column names, or relationship strings.
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"""
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import uuid
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import enum
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from datetime import datetime, timezone
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from sqlalchemy import (
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Column, String, Text, Integer, DateTime, Date,
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Enum, JSON, Index, Float,
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)
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from classroom_engine.database import Base
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# ============================================================================
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# ENUMS
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# ============================================================================
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class AIClassificationEnum(str, enum.Enum):
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"""AI Act risk classification."""
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PROHIBITED = "prohibited"
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HIGH_RISK = "high-risk"
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LIMITED_RISK = "limited-risk"
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MINIMAL_RISK = "minimal-risk"
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UNCLASSIFIED = "unclassified"
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class AISystemStatusEnum(str, enum.Enum):
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"""Status of an AI system in compliance tracking."""
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DRAFT = "draft"
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CLASSIFIED = "classified"
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COMPLIANT = "compliant"
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NON_COMPLIANT = "non-compliant"
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class ExportStatusEnum(str, enum.Enum):
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"""Status of audit export."""
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PENDING = "pending"
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GENERATING = "generating"
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COMPLETED = "completed"
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FAILED = "failed"
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# ============================================================================
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# MODELS
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# ============================================================================
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class AISystemDB(Base):
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"""
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AI System registry for AI Act compliance.
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Tracks AI systems, their risk classification, and compliance status.
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"""
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__tablename__ = 'compliance_ai_systems'
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id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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name = Column(String(300), nullable=False)
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description = Column(Text)
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purpose = Column(String(500))
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sector = Column(String(100))
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# AI Act classification
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classification = Column(Enum(AIClassificationEnum), default=AIClassificationEnum.UNCLASSIFIED)
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status = Column(Enum(AISystemStatusEnum), default=AISystemStatusEnum.DRAFT)
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# Assessment
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assessment_date = Column(DateTime)
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assessment_result = Column(JSON) # Full assessment result
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obligations = Column(JSON) # List of AI Act obligations
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risk_factors = Column(JSON) # Risk factors from assessment
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recommendations = Column(JSON) # Recommendations from assessment
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# Timestamps
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created_at = Column(DateTime, default=lambda: datetime.now(timezone.utc))
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updated_at = Column(DateTime, default=lambda: datetime.now(timezone.utc), onupdate=lambda: datetime.now(timezone.utc))
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__table_args__ = (
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Index('ix_ai_system_classification', 'classification'),
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Index('ix_ai_system_status', 'status'),
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)
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def __repr__(self):
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return f"<AISystem {self.name} ({self.classification.value})>"
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class AuditExportDB(Base):
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"""
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Tracks audit export packages generated for external auditors.
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"""
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__tablename__ = 'compliance_audit_exports'
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id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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export_type = Column(String(50), nullable=False) # "full", "controls_only", "evidence_only"
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export_name = Column(String(200)) # User-friendly name
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# Scope
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included_regulations = Column(JSON) # List of regulation codes
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included_domains = Column(JSON) # List of control domains
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date_range_start = Column(Date)
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date_range_end = Column(Date)
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# Generation
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requested_by = Column(String(100), nullable=False)
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requested_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
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completed_at = Column(DateTime)
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# Output
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file_path = Column(String(500))
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file_hash = Column(String(64)) # SHA-256 of ZIP
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file_size_bytes = Column(Integer)
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status = Column(Enum(ExportStatusEnum), default=ExportStatusEnum.PENDING)
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error_message = Column(Text)
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# Statistics
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total_controls = Column(Integer)
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total_evidence = Column(Integer)
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compliance_score = Column(Float)
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# Timestamps
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created_at = Column(DateTime, default=lambda: datetime.now(timezone.utc))
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updated_at = Column(DateTime, default=lambda: datetime.now(timezone.utc), onupdate=lambda: datetime.now(timezone.utc))
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def __repr__(self):
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return f"<AuditExport {self.export_type} by {self.requested_by}>"
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__all__ = [
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"AIClassificationEnum",
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"AISystemStatusEnum",
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"ExportStatusEnum",
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"AISystemDB",
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"AuditExportDB",
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]
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