refactor: remove dead code, hollow stubs, and orphaned modules (#2)
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This commit was merged in pull request #2.
This commit is contained in:
2026-04-20 05:50:59 +00:00
parent f96536ebbe
commit 5231490ccc
13 changed files with 11 additions and 4063 deletions

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@@ -1,52 +0,0 @@
/**
* Demo Data Clear API Endpoint
*
* Clears demo data from the storage (same mechanism as real customer data).
*/
import { NextRequest, NextResponse } from 'next/server'
// Shared store reference (same as seed endpoint)
declare global {
// eslint-disable-next-line no-var
var demoStateStore: Map<string, { state: unknown; version: number; updatedAt: Date }> | undefined
}
if (!global.demoStateStore) {
global.demoStateStore = new Map()
}
const stateStore = global.demoStateStore
export async function DELETE(request: NextRequest) {
try {
const body = await request.json()
const { tenantId = 'demo-tenant' } = body
const existed = stateStore.has(tenantId)
stateStore.delete(tenantId)
return NextResponse.json({
success: true,
message: existed
? `Demo data cleared for tenant ${tenantId}`
: `No data found for tenant ${tenantId}`,
tenantId,
existed,
})
} catch (error) {
console.error('Failed to clear demo data:', error)
return NextResponse.json(
{
success: false,
error: error instanceof Error ? error.message : 'Unknown error',
},
{ status: 500 }
)
}
}
export async function POST(request: NextRequest) {
// Also support POST for clearing (for clients that don't support DELETE)
return DELETE(request)
}

View File

@@ -1,77 +0,0 @@
/**
* Demo Data Seed API Endpoint
*
* This endpoint seeds demo data via the same storage mechanism as real customer data.
* Demo data is NOT hardcoded - it goes through the normal API/database path.
*/
import { NextRequest, NextResponse } from 'next/server'
import { generateDemoState } from '@/lib/sdk/demo-data'
// In-memory store (same as state endpoint - will be replaced with PostgreSQL)
declare global {
// eslint-disable-next-line no-var
var demoStateStore: Map<string, { state: unknown; version: number; updatedAt: Date }> | undefined
}
if (!global.demoStateStore) {
global.demoStateStore = new Map()
}
const stateStore = global.demoStateStore
export async function POST(request: NextRequest) {
try {
const body = await request.json()
const { tenantId = 'demo-tenant', userId = 'demo-user' } = body
// Generate demo state using the seed data templates
const demoState = generateDemoState(tenantId, userId)
// Store via the same mechanism as real data
const storedState = {
state: demoState,
version: 1,
updatedAt: new Date(),
}
stateStore.set(tenantId, storedState)
return NextResponse.json({
success: true,
message: `Demo data seeded for tenant ${tenantId}`,
tenantId,
version: 1,
})
} catch (error) {
console.error('Failed to seed demo data:', error)
return NextResponse.json(
{
success: false,
error: error instanceof Error ? error.message : 'Unknown error',
},
{ status: 500 }
)
}
}
export async function GET(request: NextRequest) {
const { searchParams } = new URL(request.url)
const tenantId = searchParams.get('tenantId') || 'demo-tenant'
const stored = stateStore.get(tenantId)
if (!stored) {
return NextResponse.json({
hasData: false,
tenantId,
})
}
return NextResponse.json({
hasData: true,
tenantId,
version: stored.version,
updatedAt: stored.updatedAt,
})
}

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@@ -1,34 +0,0 @@
'use client'
import React from 'react'
import Link from 'next/link'
export default function AgentSessionsPage() {
return (
<div className="p-8 max-w-5xl">
<div className="flex items-center gap-4 mb-8">
<Link href="/sdk/agents" className="text-gray-400 hover:text-gray-600 transition-colors">
<svg className="w-6 h-6" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M15 19l-7-7 7-7" />
</svg>
</Link>
<div>
<h1 className="text-2xl font-bold text-gray-900">Agent-Sessions</h1>
<p className="text-gray-500 mt-1">Chat-Verlaeufe und Session-Management</p>
</div>
</div>
<div className="bg-white border border-gray-200 rounded-xl p-12 text-center">
<svg className="w-20 h-20 text-gray-300 mx-auto mb-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={1.5}
d="M8 12h.01M12 12h.01M16 12h.01M21 12c0 4.418-4.03 8-9 8a9.863 9.863 0 01-4.255-.949L3 20l1.395-3.72C3.512 15.042 3 13.574 3 12c0-4.418 4.03-8 9-8s9 3.582 9 8z" />
</svg>
<h2 className="text-xl font-medium text-gray-900 mb-2">Sessions-Tracking</h2>
<p className="text-gray-500 max-w-md mx-auto">
Das Session-Tracking fuer Compliance-Agenten wird in einer zukuenftigen Version implementiert.
Hier werden Chat-Verlaeufe, Antwortqualitaet und Nutzer-Feedback angezeigt.
</p>
</div>
</div>
)
}

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@@ -1,34 +0,0 @@
'use client'
import React from 'react'
import Link from 'next/link'
export default function AgentStatisticsPage() {
return (
<div className="p-8 max-w-5xl">
<div className="flex items-center gap-4 mb-8">
<Link href="/sdk/agents" className="text-gray-400 hover:text-gray-600 transition-colors">
<svg className="w-6 h-6" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M15 19l-7-7 7-7" />
</svg>
</Link>
<div>
<h1 className="text-2xl font-bold text-gray-900">Agent-Statistiken</h1>
<p className="text-gray-500 mt-1">Performance-Metriken und Nutzungsanalysen</p>
</div>
</div>
<div className="bg-white border border-gray-200 rounded-xl p-12 text-center">
<svg className="w-20 h-20 text-gray-300 mx-auto mb-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={1.5}
d="M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z" />
</svg>
<h2 className="text-xl font-medium text-gray-900 mb-2">Agent-Statistiken</h2>
<p className="text-gray-500 max-w-md mx-auto">
Detaillierte Statistiken wie Antwortzeiten, Erfolgsraten, haeufigste Themen und
RAG-Trefferquoten werden in einer zukuenftigen Version implementiert.
</p>
</div>
</div>
)
}

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@@ -274,7 +274,7 @@ function RetentionTimeline({ dataPoints, language }: RetentionTimelineProps) {
// ============================================================================= // =============================================================================
interface ExportOptionsProps { interface ExportOptionsProps {
onExport: (format: 'csv' | 'json' | 'pdf') => void onExport: (format: 'csv' | 'json') => void
} }
function ExportOptions({ onExport }: ExportOptionsProps) { function ExportOptions({ onExport }: ExportOptionsProps) {
@@ -294,13 +294,6 @@ function ExportOptions({ onExport }: ExportOptionsProps) {
<Download className="w-4 h-4" /> <Download className="w-4 h-4" />
JSON JSON
</button> </button>
<button
onClick={() => onExport('pdf')}
className="flex items-center gap-2 px-3 py-2 bg-indigo-600 text-white rounded-lg text-sm hover:bg-indigo-700"
>
<Download className="w-4 h-4" />
PDF
</button>
</div> </div>
) )
} }
@@ -332,7 +325,7 @@ function RetentionContent() {
}, [allDataPoints, filterCategory]) }, [allDataPoints, filterCategory])
// Handle export // Handle export
const handleExport = (format: 'csv' | 'json' | 'pdf') => { const handleExport = (format: 'csv' | 'json') => {
if (format === 'csv') { if (format === 'csv') {
const headers = ['Code', 'Name', 'Kategorie', 'Loeschfrist', 'Rechtsgrundlage'] const headers = ['Code', 'Name', 'Kategorie', 'Loeschfrist', 'Rechtsgrundlage']
const rows = allDataPoints.map((dp) => [ const rows = allDataPoints.map((dp) => [
@@ -354,8 +347,6 @@ function RetentionContent() {
legalBasis: dp.legalBasis, legalBasis: dp.legalBasis,
})) }))
downloadFile(JSON.stringify(data, null, 2), 'loeschfristen.json', 'application/json') downloadFile(JSON.stringify(data, null, 2), 'loeschfristen.json', 'application/json')
} else {
alert('PDF-Export wird noch implementiert.')
} }
} }

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@@ -1,63 +0,0 @@
"""
AI System (AI Act) Pydantic schemas — extracted from compliance/api/schemas.py.
Phase 1 Step 3: the monolithic ``compliance.api.schemas`` module is being
split per domain under ``compliance.schemas``. This module is re-exported
from ``compliance.api.schemas`` for backwards compatibility.
"""
from datetime import datetime, date
from typing import Optional, List, Any, Dict
from pydantic import BaseModel, ConfigDict, Field
from compliance.schemas.common import (
PaginationMeta, RegulationType, ControlType, ControlDomain,
ControlStatus, RiskLevel, EvidenceStatus,
)
# ============================================================================
# AI System Schemas (AI Act Compliance)
# ============================================================================
class AISystemBase(BaseModel):
name: str
description: Optional[str] = None
purpose: Optional[str] = None
sector: Optional[str] = None
classification: str = "unclassified"
status: str = "draft"
obligations: Optional[List[str]] = None
class AISystemCreate(AISystemBase):
pass
class AISystemUpdate(BaseModel):
name: Optional[str] = None
description: Optional[str] = None
purpose: Optional[str] = None
sector: Optional[str] = None
classification: Optional[str] = None
status: Optional[str] = None
obligations: Optional[List[str]] = None
class AISystemResponse(AISystemBase):
id: str
assessment_date: Optional[datetime] = None
assessment_result: Optional[Dict[str, Any]] = None
risk_factors: Optional[List[Dict[str, Any]]] = None
recommendations: Optional[List[str]] = None
created_at: datetime
updated_at: datetime
model_config = ConfigDict(from_attributes=True)
class AISystemListResponse(BaseModel):
systems: List[AISystemResponse]
total: int

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@@ -1,58 +0,0 @@
"""
BSI / PDF Extraction Pydantic schemas — extracted from compliance/api/schemas.py.
Phase 1 Step 3: the monolithic ``compliance.api.schemas`` module is being
split per domain under ``compliance.schemas``. This module is re-exported
from ``compliance.api.schemas`` for backwards compatibility.
"""
from datetime import datetime, date
from typing import Optional, List, Any, Dict
from pydantic import BaseModel, ConfigDict, Field
from compliance.schemas.common import (
PaginationMeta, RegulationType, ControlType, ControlDomain,
ControlStatus, RiskLevel, EvidenceStatus,
)
# ============================================================================
# PDF Extraction Schemas
# ============================================================================
class BSIAspectResponse(BaseModel):
"""A single extracted BSI-TR Pruefaspekt (test aspect)."""
aspect_id: str
title: str
full_text: str
category: str
page_number: int
section: str
requirement_level: str
source_document: str
keywords: Optional[List[str]] = None
related_aspects: Optional[List[str]] = None
class PDFExtractionRequest(BaseModel):
"""Request for PDF extraction."""
document_code: str = Field(..., description="BSI-TR document code, e.g. BSI-TR-03161-2")
save_to_db: bool = Field(True, description="Whether to save extracted requirements to database")
force: bool = Field(False, description="Force re-extraction even if requirements exist")
class PDFExtractionResponse(BaseModel):
"""Response from PDF extraction endpoint."""
# Simple endpoint format (new /pdf/extract/{doc_code})
doc_code: Optional[str] = None
total_extracted: Optional[int] = None
saved_to_db: Optional[int] = None
aspects: Optional[List[BSIAspectResponse]] = None
# Legacy scraper endpoint format (/scraper/extract-pdf)
success: Optional[bool] = None
source_document: Optional[str] = None
total_aspects: Optional[int] = None
statistics: Optional[Dict[str, Any]] = None
requirements_created: Optional[int] = None

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@@ -1,195 +0,0 @@
"""
Dashboard, Export, Executive Dashboard Pydantic schemas — extracted from compliance/api/schemas.py.
Phase 1 Step 3: the monolithic ``compliance.api.schemas`` module is being
split per domain under ``compliance.schemas``. This module is re-exported
from ``compliance.api.schemas`` for backwards compatibility.
"""
from datetime import datetime, date
from typing import Optional, List, Any, Dict
from pydantic import BaseModel, ConfigDict, Field
from compliance.schemas.common import (
PaginationMeta, RegulationType, ControlType, ControlDomain,
ControlStatus, RiskLevel, EvidenceStatus,
)
from compliance.schemas.evidence import EvidenceResponse
from compliance.schemas.risk import RiskResponse
# ============================================================================
# Dashboard & Export Schemas
# ============================================================================
class DashboardResponse(BaseModel):
compliance_score: float
total_regulations: int
total_requirements: int
total_controls: int
controls_by_status: Dict[str, int]
controls_by_domain: Dict[str, Dict[str, int]]
total_evidence: int
evidence_by_status: Dict[str, int]
total_risks: int
risks_by_level: Dict[str, int]
recent_activity: List[Dict[str, Any]]
class ExportRequest(BaseModel):
export_type: str = "full" # "full", "controls_only", "evidence_only"
included_regulations: Optional[List[str]] = None
included_domains: Optional[List[str]] = None
date_range_start: Optional[date] = None
date_range_end: Optional[date] = None
class ExportResponse(BaseModel):
id: str
export_type: str
export_name: Optional[str] = None
status: str
requested_by: str
requested_at: datetime
completed_at: Optional[datetime] = None
file_path: Optional[str] = None
file_hash: Optional[str] = None
file_size_bytes: Optional[int] = None
total_controls: Optional[int] = None
total_evidence: Optional[int] = None
compliance_score: Optional[float] = None
error_message: Optional[str] = None
model_config = ConfigDict(from_attributes=True)
class ExportListResponse(BaseModel):
exports: List[ExportResponse]
total: int
# ============================================================================
# Seeding Schemas
# ============================================================================
class SeedRequest(BaseModel):
force: bool = False
class SeedResponse(BaseModel):
success: bool
message: str
counts: Dict[str, int]
class PaginatedEvidenceResponse(BaseModel):
"""Paginated response for evidence."""
data: List[EvidenceResponse]
pagination: PaginationMeta
class PaginatedRiskResponse(BaseModel):
"""Paginated response for risks."""
data: List[RiskResponse]
pagination: PaginationMeta
# ============================================================================
# Executive Dashboard Schemas (Phase 3 - Sprint 1)
# ============================================================================
class TrendDataPoint(BaseModel):
"""A single data point for trend charts."""
date: str # ISO date string
score: float
label: Optional[str] = None # Formatted date for display (e.g., "Jan 26")
class RiskSummary(BaseModel):
"""Summary of a risk for executive display."""
id: str
risk_id: str
title: str
risk_level: str # "low", "medium", "high", "critical"
owner: Optional[str] = None
status: str
category: str
impact: int
likelihood: int
class DeadlineItem(BaseModel):
"""An upcoming deadline for executive display."""
id: str
title: str
deadline: str # ISO date string
days_remaining: int
type: str # "control_review", "evidence_expiry", "audit"
status: str # "on_track", "at_risk", "overdue"
owner: Optional[str] = None
class TeamWorkloadItem(BaseModel):
"""Workload distribution for a team or person."""
name: str
pending_tasks: int
in_progress_tasks: int
completed_tasks: int
total_tasks: int
completion_rate: float
class ExecutiveDashboardResponse(BaseModel):
"""
Executive Dashboard Response
Provides a high-level overview for managers and executives:
- Traffic light status (green/yellow/red)
- Overall compliance score
- 12-month trend data
- Top 5 risks
- Upcoming deadlines
- Team workload distribution
"""
traffic_light_status: str # "green", "yellow", "red"
overall_score: float
score_trend: List[TrendDataPoint]
previous_score: Optional[float] = None
score_change: Optional[float] = None # Positive = improvement
# Counts
total_regulations: int
total_requirements: int
total_controls: int
open_risks: int
# Top items
top_risks: List[RiskSummary]
upcoming_deadlines: List[DeadlineItem]
# Workload
team_workload: List[TeamWorkloadItem]
# Last updated
last_updated: str
class ComplianceSnapshotCreate(BaseModel):
"""Request to create a compliance snapshot."""
notes: Optional[str] = None
class ComplianceSnapshotResponse(BaseModel):
"""Response for a compliance snapshot."""
id: str
snapshot_date: str
overall_score: float
scores_by_regulation: Dict[str, float]
scores_by_domain: Dict[str, float]
total_controls: int
passed_controls: int
failed_controls: int
notes: Optional[str] = None
created_at: str

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@@ -1,343 +0,0 @@
"""
ISMS Governance (Scope, Context, Policy, Objective, SoA) Pydantic schemas — extracted from compliance/api/schemas.py.
Phase 1 Step 3: the monolithic ``compliance.api.schemas`` module is being
split per domain under ``compliance.schemas``. This module is re-exported
from ``compliance.api.schemas`` for backwards compatibility.
"""
from datetime import datetime, date
from typing import Optional, List, Any, Dict
from pydantic import BaseModel, ConfigDict, Field
from compliance.schemas.common import (
PaginationMeta, RegulationType, ControlType, ControlDomain,
ControlStatus, RiskLevel, EvidenceStatus,
)
# ============================================================================
# ISO 27001 ISMS Schemas (Kapitel 4-10)
# ============================================================================
# --- Enums ---
class ApprovalStatus(str):
DRAFT = "draft"
UNDER_REVIEW = "under_review"
APPROVED = "approved"
SUPERSEDED = "superseded"
class FindingType(str):
MAJOR = "major"
MINOR = "minor"
OFI = "ofi"
POSITIVE = "positive"
class FindingStatus(str):
OPEN = "open"
IN_PROGRESS = "in_progress"
CAPA_PENDING = "capa_pending"
VERIFICATION_PENDING = "verification_pending"
VERIFIED = "verified"
CLOSED = "closed"
class CAPAType(str):
CORRECTIVE = "corrective"
PREVENTIVE = "preventive"
BOTH = "both"
# --- ISMS Scope (ISO 27001 4.3) ---
class ISMSScopeBase(BaseModel):
"""Base schema for ISMS Scope."""
scope_statement: str
included_locations: Optional[List[str]] = None
included_processes: Optional[List[str]] = None
included_services: Optional[List[str]] = None
excluded_items: Optional[List[str]] = None
exclusion_justification: Optional[str] = None
organizational_boundary: Optional[str] = None
physical_boundary: Optional[str] = None
technical_boundary: Optional[str] = None
class ISMSScopeCreate(ISMSScopeBase):
"""Schema for creating ISMS Scope."""
pass
class ISMSScopeUpdate(BaseModel):
"""Schema for updating ISMS Scope."""
scope_statement: Optional[str] = None
included_locations: Optional[List[str]] = None
included_processes: Optional[List[str]] = None
included_services: Optional[List[str]] = None
excluded_items: Optional[List[str]] = None
exclusion_justification: Optional[str] = None
organizational_boundary: Optional[str] = None
physical_boundary: Optional[str] = None
technical_boundary: Optional[str] = None
class ISMSScopeResponse(ISMSScopeBase):
"""Response schema for ISMS Scope."""
id: str
version: str
status: str
approved_by: Optional[str] = None
approved_at: Optional[datetime] = None
effective_date: Optional[date] = None
review_date: Optional[date] = None
created_at: datetime
updated_at: datetime
model_config = ConfigDict(from_attributes=True)
class ISMSScopeApproveRequest(BaseModel):
"""Request to approve ISMS Scope."""
approved_by: str
effective_date: date
review_date: date
# --- ISMS Context (ISO 27001 4.1, 4.2) ---
class ContextIssue(BaseModel):
"""Single context issue."""
issue: str
impact: str
treatment: Optional[str] = None
class InterestedParty(BaseModel):
"""Single interested party."""
party: str
requirements: List[str]
relevance: str
class ISMSContextBase(BaseModel):
"""Base schema for ISMS Context."""
internal_issues: Optional[List[ContextIssue]] = None
external_issues: Optional[List[ContextIssue]] = None
interested_parties: Optional[List[InterestedParty]] = None
regulatory_requirements: Optional[List[str]] = None
contractual_requirements: Optional[List[str]] = None
swot_strengths: Optional[List[str]] = None
swot_weaknesses: Optional[List[str]] = None
swot_opportunities: Optional[List[str]] = None
swot_threats: Optional[List[str]] = None
class ISMSContextCreate(ISMSContextBase):
"""Schema for creating ISMS Context."""
pass
class ISMSContextResponse(ISMSContextBase):
"""Response schema for ISMS Context."""
id: str
version: str
status: str
approved_by: Optional[str] = None
approved_at: Optional[datetime] = None
last_reviewed_at: Optional[datetime] = None
next_review_date: Optional[date] = None
created_at: datetime
updated_at: datetime
model_config = ConfigDict(from_attributes=True)
# --- ISMS Policies (ISO 27001 5.2) ---
class ISMSPolicyBase(BaseModel):
"""Base schema for ISMS Policy."""
policy_id: str
title: str
policy_type: str # "master", "operational", "technical"
description: Optional[str] = None
policy_text: str
applies_to: Optional[List[str]] = None
review_frequency_months: int = 12
related_controls: Optional[List[str]] = None
class ISMSPolicyCreate(ISMSPolicyBase):
"""Schema for creating ISMS Policy."""
authored_by: str
class ISMSPolicyUpdate(BaseModel):
"""Schema for updating ISMS Policy."""
title: Optional[str] = None
description: Optional[str] = None
policy_text: Optional[str] = None
applies_to: Optional[List[str]] = None
review_frequency_months: Optional[int] = None
related_controls: Optional[List[str]] = None
class ISMSPolicyResponse(ISMSPolicyBase):
"""Response schema for ISMS Policy."""
id: str
version: str
status: str
authored_by: Optional[str] = None
reviewed_by: Optional[str] = None
approved_by: Optional[str] = None
approved_at: Optional[datetime] = None
effective_date: Optional[date] = None
next_review_date: Optional[date] = None
document_path: Optional[str] = None
created_at: datetime
updated_at: datetime
model_config = ConfigDict(from_attributes=True)
class ISMSPolicyListResponse(BaseModel):
"""List response for ISMS Policies."""
policies: List[ISMSPolicyResponse]
total: int
class ISMSPolicyApproveRequest(BaseModel):
"""Request to approve ISMS Policy."""
reviewed_by: str
approved_by: str
effective_date: date
# --- Security Objectives (ISO 27001 6.2) ---
class SecurityObjectiveBase(BaseModel):
"""Base schema for Security Objective."""
objective_id: str
title: str
description: Optional[str] = None
category: str # "availability", "confidentiality", "integrity", "compliance"
specific: Optional[str] = None
measurable: Optional[str] = None
achievable: Optional[str] = None
relevant: Optional[str] = None
time_bound: Optional[str] = None
kpi_name: Optional[str] = None
kpi_target: Optional[str] = None
kpi_unit: Optional[str] = None
measurement_frequency: Optional[str] = None
owner: Optional[str] = None
target_date: Optional[date] = None
related_controls: Optional[List[str]] = None
related_risks: Optional[List[str]] = None
class SecurityObjectiveCreate(SecurityObjectiveBase):
"""Schema for creating Security Objective."""
pass
class SecurityObjectiveUpdate(BaseModel):
"""Schema for updating Security Objective."""
title: Optional[str] = None
description: Optional[str] = None
kpi_current: Optional[str] = None
progress_percentage: Optional[int] = None
status: Optional[str] = None
class SecurityObjectiveResponse(SecurityObjectiveBase):
"""Response schema for Security Objective."""
id: str
kpi_current: Optional[str] = None
status: str
progress_percentage: int
achieved_date: Optional[date] = None
approved_by: Optional[str] = None
approved_at: Optional[datetime] = None
created_at: datetime
updated_at: datetime
model_config = ConfigDict(from_attributes=True)
class SecurityObjectiveListResponse(BaseModel):
"""List response for Security Objectives."""
objectives: List[SecurityObjectiveResponse]
total: int
# --- Statement of Applicability (SoA) ---
class SoAEntryBase(BaseModel):
"""Base schema for SoA Entry."""
annex_a_control: str # e.g., "A.5.1"
annex_a_title: str
annex_a_category: Optional[str] = None
is_applicable: bool
applicability_justification: str
implementation_status: str = "planned"
implementation_notes: Optional[str] = None
breakpilot_control_ids: Optional[List[str]] = None
coverage_level: str = "full"
evidence_description: Optional[str] = None
risk_assessment_notes: Optional[str] = None
compensating_controls: Optional[str] = None
class SoAEntryCreate(SoAEntryBase):
"""Schema for creating SoA Entry."""
pass
class SoAEntryUpdate(BaseModel):
"""Schema for updating SoA Entry."""
is_applicable: Optional[bool] = None
applicability_justification: Optional[str] = None
implementation_status: Optional[str] = None
implementation_notes: Optional[str] = None
breakpilot_control_ids: Optional[List[str]] = None
coverage_level: Optional[str] = None
evidence_description: Optional[str] = None
class SoAEntryResponse(SoAEntryBase):
"""Response schema for SoA Entry."""
id: str
evidence_ids: Optional[List[str]] = None
reviewed_by: Optional[str] = None
reviewed_at: Optional[datetime] = None
approved_by: Optional[str] = None
approved_at: Optional[datetime] = None
version: str
created_at: datetime
updated_at: datetime
model_config = ConfigDict(from_attributes=True)
class SoAListResponse(BaseModel):
"""List response for SoA."""
entries: List[SoAEntryResponse]
total: int
applicable_count: int
not_applicable_count: int
implemented_count: int
planned_count: int
class SoAApproveRequest(BaseModel):
"""Request to approve SoA entry."""
reviewed_by: str
approved_by: str
# --- Audit Findings (Major/Minor/OFI) ---

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@@ -1,53 +0,0 @@
"""
Report generation Pydantic schemas — extracted from compliance/api/schemas.py.
Phase 1 Step 3: the monolithic ``compliance.api.schemas`` module is being
split per domain under ``compliance.schemas``. This module is re-exported
from ``compliance.api.schemas`` for backwards compatibility.
"""
from datetime import datetime, date
from typing import Optional, List, Any, Dict
from pydantic import BaseModel, ConfigDict, Field
from compliance.schemas.common import (
PaginationMeta, RegulationType, ControlType, ControlDomain,
ControlStatus, RiskLevel, EvidenceStatus,
)
# ============================================================================
# Report Generation Schemas (Phase 3 - Sprint 3)
# ============================================================================
class GenerateReportRequest(BaseModel):
"""Request to generate an audit report."""
session_id: str
report_type: str = "full" # "full", "summary", "non_compliant_only"
include_evidence: bool = True
include_signatures: bool = True
language: str = "de" # "de" or "en"
class ReportGenerationResponse(BaseModel):
"""Response for report generation."""
report_id: str
session_id: str
status: str # "pending", "generating", "completed", "failed"
report_type: str
file_path: Optional[str] = None
file_size_bytes: Optional[int] = None
created_at: datetime
completed_at: Optional[datetime] = None
error_message: Optional[str] = None
class ReportDownloadResponse(BaseModel):
"""Response for report download."""
report_id: str
filename: str
mime_type: str
file_size_bytes: int
download_url: str

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@@ -1,121 +0,0 @@
"""
Service Module Pydantic schemas — extracted from compliance/api/schemas.py.
Phase 1 Step 3: the monolithic ``compliance.api.schemas`` module is being
split per domain under ``compliance.schemas``. This module is re-exported
from ``compliance.api.schemas`` for backwards compatibility.
"""
from datetime import datetime, date
from typing import Optional, List, Any, Dict
from pydantic import BaseModel, ConfigDict, Field
from compliance.schemas.common import (
PaginationMeta, RegulationType, ControlType, ControlDomain,
ControlStatus, RiskLevel, EvidenceStatus,
)
# ============================================================================
# Service Module Schemas (Sprint 3)
# ============================================================================
class ServiceModuleBase(BaseModel):
"""Base schema for service modules."""
name: str
display_name: str
description: Optional[str] = None
service_type: str
port: Optional[int] = None
technology_stack: Optional[List[str]] = None
repository_path: Optional[str] = None
docker_image: Optional[str] = None
data_categories: Optional[List[str]] = None
processes_pii: bool = False
processes_health_data: bool = False
ai_components: bool = False
criticality: str = "medium"
owner_team: Optional[str] = None
owner_contact: Optional[str] = None
class ServiceModuleCreate(ServiceModuleBase):
"""Schema for creating a service module."""
pass
class ServiceModuleResponse(ServiceModuleBase):
"""Response schema for service module."""
id: str
is_active: bool
compliance_score: Optional[float] = None
last_compliance_check: Optional[datetime] = None
created_at: datetime
updated_at: datetime
regulation_count: Optional[int] = None
risk_count: Optional[int] = None
model_config = ConfigDict(from_attributes=True)
class ServiceModuleListResponse(BaseModel):
"""List response for service modules."""
modules: List[ServiceModuleResponse]
total: int
class ServiceModuleDetailResponse(ServiceModuleResponse):
"""Detailed response including regulations and risks."""
regulations: Optional[List[Dict[str, Any]]] = None
risks: Optional[List[Dict[str, Any]]] = None
class ModuleRegulationMappingBase(BaseModel):
"""Base schema for module-regulation mapping."""
module_id: str
regulation_id: str
relevance_level: str = "medium"
notes: Optional[str] = None
applicable_articles: Optional[List[str]] = None
class ModuleRegulationMappingCreate(ModuleRegulationMappingBase):
"""Schema for creating a module-regulation mapping."""
pass
class ModuleRegulationMappingResponse(ModuleRegulationMappingBase):
"""Response schema for module-regulation mapping."""
id: str
module_name: Optional[str] = None
regulation_code: Optional[str] = None
regulation_name: Optional[str] = None
created_at: datetime
model_config = ConfigDict(from_attributes=True)
class ModuleSeedRequest(BaseModel):
"""Request to seed service modules."""
force: bool = False
class ModuleSeedResponse(BaseModel):
"""Response from seeding service modules."""
success: bool
message: str
modules_created: int
mappings_created: int
class ModuleComplianceOverview(BaseModel):
"""Overview of compliance status for all modules."""
total_modules: int
modules_by_type: Dict[str, int]
modules_by_criticality: Dict[str, int]
modules_processing_pii: int
modules_with_ai: int
average_compliance_score: Optional[float] = None
regulations_coverage: Dict[str, int] # regulation_code -> module_count