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breakpilot-pwa/backend/api/tests/db_models.py
Benjamin Admin 21a844cb8a fix: Restore all files lost during destructive rebase
A previous `git pull --rebase origin main` dropped 177 local commits,
losing 3400+ files across admin-v2, backend, studio-v2, website,
klausur-service, and many other services. The partial restore attempt
(660295e2) only recovered some files.

This commit restores all missing files from pre-rebase ref 98933f5e
while preserving post-rebase additions (night-scheduler, night-mode UI,
NightModeWidget dashboard integration).

Restored features include:
- AI Module Sidebar (FAB), OCR Labeling, OCR Compare
- GPU Dashboard, RAG Pipeline, Magic Help
- Klausur-Korrektur (8 files), Abitur-Archiv (5+ files)
- Companion, Zeugnisse-Crawler, Screen Flow
- Full backend, studio-v2, website, klausur-service
- All compliance SDKs, agent-core, voice-service
- CI/CD configs, documentation, scripts

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 09:51:32 +01:00

228 lines
9.3 KiB
Python

"""
SQLAlchemy Models fuer Test Registry.
Definiert die Datenbank-Tabellen fuer persistente Test-Speicherung:
- TestRunDB: Jeder Test-Durchlauf
- TestResultDB: Einzelne Test-Ergebnisse
- FailedTestBacklogDB: Persistenter Backlog fuer zu fixende Tests
- TestFixHistoryDB: Historie aller Fix-Versuche
- TestServiceStatsDB: Aggregierte Statistiken pro Service
"""
from datetime import datetime
from sqlalchemy import (
Column, Integer, String, Float, Text, DateTime, Boolean,
ForeignKey, UniqueConstraint, Index
)
from sqlalchemy.orm import relationship
# Nutze die gleiche Base wie Classroom Engine fuer konsistente Migrations
from classroom_engine.database import Base
class TestRunDB(Base):
"""
Speichert jeden Test-Durchlauf.
Enthaelt Metadaten und Aggregat-Statistiken.
"""
__tablename__ = 'test_runs'
id = Column(Integer, primary_key=True, autoincrement=True)
run_id = Column(String(50), unique=True, nullable=False, index=True)
service = Column(String(100), nullable=False, index=True)
framework = Column(String(50), nullable=False)
started_at = Column(DateTime, nullable=False, index=True)
completed_at = Column(DateTime, nullable=True)
status = Column(String(20), nullable=False) # queued, running, completed, failed
total_tests = Column(Integer, default=0)
passed_tests = Column(Integer, default=0)
failed_tests = Column(Integer, default=0)
skipped_tests = Column(Integer, default=0)
duration_seconds = Column(Float, default=0)
git_commit = Column(String(40), nullable=True)
git_branch = Column(String(100), nullable=True)
triggered_by = Column(String(50), nullable=True) # manual, ci, schedule
output = Column(Text, nullable=True)
created_at = Column(DateTime, default=datetime.utcnow)
# Relationship zu einzelnen Test-Ergebnissen
results = relationship("TestResultDB", back_populates="run", cascade="all, delete-orphan")
def to_dict(self):
return {
"id": self.run_id,
"run_id": self.run_id,
"service": self.service,
"framework": self.framework,
"started_at": self.started_at.isoformat() if self.started_at else None,
"completed_at": self.completed_at.isoformat() if self.completed_at else None,
"status": self.status,
"total_tests": self.total_tests,
"passed_tests": self.passed_tests,
"failed_tests": self.failed_tests,
"skipped_tests": self.skipped_tests,
"duration_seconds": self.duration_seconds,
"git_commit": self.git_commit,
"git_branch": self.git_branch,
"triggered_by": self.triggered_by,
}
class TestResultDB(Base):
"""
Speichert einzelne Test-Ergebnisse pro Run.
Ermoeglicht detaillierte Analyse fehlgeschlagener Tests.
"""
__tablename__ = 'test_results'
id = Column(Integer, primary_key=True, autoincrement=True)
run_id = Column(String(50), ForeignKey('test_runs.run_id', ondelete='CASCADE'), nullable=False, index=True)
test_name = Column(String(500), nullable=False, index=True)
test_file = Column(String(500), nullable=True)
line_number = Column(Integer, nullable=True)
status = Column(String(20), nullable=False, index=True) # passed, failed, skipped, error
duration_ms = Column(Float, nullable=True)
error_message = Column(Text, nullable=True)
error_type = Column(String(100), nullable=True)
output = Column(Text, nullable=True)
created_at = Column(DateTime, default=datetime.utcnow)
# Relationship zum Run
run = relationship("TestRunDB", back_populates="results")
def to_dict(self):
return {
"id": self.id,
"run_id": self.run_id,
"test_name": self.test_name,
"test_file": self.test_file,
"line_number": self.line_number,
"status": self.status,
"duration_ms": self.duration_ms,
"error_message": self.error_message,
"error_type": self.error_type,
}
class FailedTestBacklogDB(Base):
"""
Persistenter Backlog fuer fehlgeschlagene Tests.
Aggregiert Fehler ueber mehrere Runs hinweg.
"""
__tablename__ = 'failed_tests_backlog'
__table_args__ = (
UniqueConstraint('test_name', 'service', name='uq_backlog_test_service'),
)
id = Column(Integer, primary_key=True, autoincrement=True)
test_name = Column(String(500), nullable=False)
test_file = Column(String(500), nullable=True)
service = Column(String(100), nullable=False, index=True)
framework = Column(String(50), nullable=True)
error_message = Column(Text, nullable=True)
error_type = Column(String(100), nullable=True)
first_failed_at = Column(DateTime, nullable=False)
last_failed_at = Column(DateTime, nullable=False)
failure_count = Column(Integer, default=1)
status = Column(String(30), default='open', index=True) # open, in_progress, fixed, wont_fix, flaky
priority = Column(String(20), default='medium', index=True) # critical, high, medium, low
assigned_to = Column(String(100), nullable=True)
fix_suggestion = Column(Text, nullable=True)
notes = Column(Text, nullable=True)
# Resolution-Felder (auto-close wenn Tests bestehen)
resolved_at = Column(DateTime, nullable=True)
resolution_commit = Column(String(50), nullable=True)
resolution_notes = Column(Text, nullable=True)
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
# Relationship zu Fix-Historie
fixes = relationship("TestFixHistoryDB", back_populates="backlog_item", cascade="all, delete-orphan")
def to_dict(self):
return {
"id": self.id,
"test_name": self.test_name,
"test_file": self.test_file,
"service": self.service,
"framework": self.framework,
"error_message": self.error_message,
"error_type": self.error_type,
"first_failed_at": self.first_failed_at.isoformat() if self.first_failed_at else None,
"last_failed_at": self.last_failed_at.isoformat() if self.last_failed_at else None,
"failure_count": self.failure_count,
"status": self.status,
"priority": self.priority,
"assigned_to": self.assigned_to,
"fix_suggestion": self.fix_suggestion,
"notes": self.notes,
"resolved_at": self.resolved_at.isoformat() if self.resolved_at else None,
"resolution_commit": self.resolution_commit,
"resolution_notes": self.resolution_notes,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None,
}
class TestFixHistoryDB(Base):
"""
Historie aller Fix-Versuche fuer einen Backlog-Eintrag.
Ermoeglicht Tracking von Auto-Fix und manuellen Fixes.
"""
__tablename__ = 'test_fixes_history'
id = Column(Integer, primary_key=True, autoincrement=True)
backlog_id = Column(Integer, ForeignKey('failed_tests_backlog.id', ondelete='CASCADE'), nullable=False, index=True)
fix_type = Column(String(50), nullable=True) # manual, auto_claude, auto_script
fix_description = Column(Text, nullable=True)
commit_hash = Column(String(40), nullable=True)
success = Column(Boolean, nullable=True)
created_at = Column(DateTime, default=datetime.utcnow)
# Relationship zum Backlog-Item
backlog_item = relationship("FailedTestBacklogDB", back_populates="fixes")
def to_dict(self):
return {
"id": self.id,
"backlog_id": self.backlog_id,
"fix_type": self.fix_type,
"fix_description": self.fix_description,
"commit_hash": self.commit_hash,
"success": self.success,
"created_at": self.created_at.isoformat() if self.created_at else None,
}
class TestServiceStatsDB(Base):
"""
Aggregierte Statistiken pro Service.
Wird nach jedem Test-Run aktualisiert fuer schnelle Abfragen.
"""
__tablename__ = 'test_service_stats'
id = Column(Integer, primary_key=True, autoincrement=True)
service = Column(String(100), unique=True, nullable=False)
total_tests = Column(Integer, default=0)
passed_tests = Column(Integer, default=0)
failed_tests = Column(Integer, default=0)
skipped_tests = Column(Integer, default=0)
pass_rate = Column(Float, default=0.0)
last_run_id = Column(String(50), nullable=True)
last_run_at = Column(DateTime, nullable=True)
last_status = Column(String(20), nullable=True)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
def to_dict(self):
return {
"service": self.service,
"total_tests": self.total_tests,
"passed_tests": self.passed_tests,
"failed_tests": self.failed_tests,
"skipped_tests": self.skipped_tests,
"pass_rate": round(self.pass_rate, 1) if self.pass_rate else 0.0,
"last_run_id": self.last_run_id,
"last_run_at": self.last_run_at.isoformat() if self.last_run_at else None,
"last_status": self.last_status,
"updated_at": self.updated_at.isoformat() if self.updated_at else None,
}