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>
This commit is contained in:
Benjamin Admin
2026-02-09 09:51:32 +01:00
parent f7487ee240
commit bfdaf63ba9
2009 changed files with 749983 additions and 1731 deletions

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"""
Database Module für Alerts Agent.
Stellt PostgreSQL-Anbindung für Alert-Persistenz bereit.
Nutzt die gleiche Base wie classroom_engine für konsistente Migrationen.
"""
from .database import Base, SessionLocal, get_db, engine
from .models import (
AlertTopicDB,
AlertItemDB,
AlertRuleDB,
AlertProfileDB,
AlertSourceEnum,
AlertStatusEnum,
RelevanceDecisionEnum,
FeedTypeEnum,
RuleActionEnum,
)
__all__ = [
"Base",
"SessionLocal",
"get_db",
"engine",
"AlertTopicDB",
"AlertItemDB",
"AlertRuleDB",
"AlertProfileDB",
"AlertSourceEnum",
"AlertStatusEnum",
"RelevanceDecisionEnum",
"FeedTypeEnum",
"RuleActionEnum",
]

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"""
Database Configuration für Alerts Agent.
Nutzt die gleiche PostgreSQL-Instanz und Base wie Classroom Engine.
"""
# Re-export from classroom_engine for consistency
from classroom_engine.database import (
Base,
SessionLocal,
get_db,
engine,
DATABASE_URL,
)
def init_db():
"""Erstellt alle Tabellen (für Entwicklung)."""
from . import models # Import models to register them
Base.metadata.create_all(bind=engine)

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"""
SQLAlchemy Database Models für Alerts Agent.
Persistiert Topics, Alerts, Rules und Profile in PostgreSQL.
Nutzt die gleiche Base wie classroom_engine für konsistente Migrationen.
"""
from datetime import datetime
from sqlalchemy import (
Column, String, Integer, Float, DateTime, JSON,
Boolean, Text, Enum as SQLEnum, ForeignKey, Index
)
from sqlalchemy.orm import relationship
import enum
import uuid
# Import Base from classroom_engine for shared metadata
from classroom_engine.database import Base
class AlertSourceEnum(str, enum.Enum):
"""Quelle des Alerts."""
GOOGLE_ALERTS_RSS = "google_alerts_rss"
GOOGLE_ALERTS_EMAIL = "google_alerts_email"
RSS_FEED = "rss_feed"
WEBHOOK = "webhook"
MANUAL = "manual"
class AlertStatusEnum(str, enum.Enum):
"""Verarbeitungsstatus des Alerts."""
NEW = "new"
PROCESSED = "processed"
DUPLICATE = "duplicate"
SCORED = "scored"
REVIEWED = "reviewed"
ARCHIVED = "archived"
class RelevanceDecisionEnum(str, enum.Enum):
"""Relevanz-Entscheidung."""
KEEP = "KEEP"
DROP = "DROP"
REVIEW = "REVIEW"
class FeedTypeEnum(str, enum.Enum):
"""Typ der Feed-Quelle."""
RSS = "rss"
EMAIL = "email"
WEBHOOK = "webhook"
class RuleActionEnum(str, enum.Enum):
"""Aktionen für Regeln."""
KEEP = "keep"
DROP = "drop"
TAG = "tag"
EMAIL = "email"
WEBHOOK = "webhook"
SLACK = "slack"
class ImportanceLevelEnum(str, enum.Enum):
"""5-stufige Wichtigkeitsskala für Guided Mode."""
INFO = "info" # 0.0-0.4 - Informativ
PRUEFEN = "pruefen" # 0.4-0.6 - Zu prüfen
WICHTIG = "wichtig" # 0.6-0.75 - Wichtig
DRINGEND = "dringend" # 0.75-0.9 - Dringend
KRITISCH = "kritisch" # 0.9-1.0 - Kritisch
class AlertModeEnum(str, enum.Enum):
"""Modus für Alert-Nutzung."""
GUIDED = "guided" # Geführter Modus für Lehrer/Schulleitungen
EXPERT = "expert" # Experten-Modus für IT-affine Nutzer
class MigrationModeEnum(str, enum.Enum):
"""Wie wurden die Alerts migriert."""
FORWARD = "forward" # E-Mail-Weiterleitung
IMPORT = "import" # RSS-Import
RECONSTRUCTED = "reconstructed" # Automatisch rekonstruiert
class DigestStatusEnum(str, enum.Enum):
"""Status der Digest-Generierung."""
PENDING = "pending"
GENERATING = "generating"
SENT = "sent"
FAILED = "failed"
class UserRoleEnum(str, enum.Enum):
"""Rolle des Nutzers für Template-Empfehlungen."""
LEHRKRAFT = "lehrkraft"
SCHULLEITUNG = "schulleitung"
IT_BEAUFTRAGTE = "it_beauftragte"
class AlertTopicDB(Base):
"""
Alert Topic / Feed-Quelle.
Repräsentiert eine Google Alert-Konfiguration oder einen RSS-Feed.
"""
__tablename__ = 'alert_topics'
id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
user_id = Column(String(36), nullable=True, index=True) # Optional: Multi-User
# Topic-Details
name = Column(String(255), nullable=False)
description = Column(Text, default="")
# Feed-Konfiguration
feed_url = Column(String(2000), nullable=True)
feed_type = Column(
SQLEnum(FeedTypeEnum),
default=FeedTypeEnum.RSS,
nullable=False
)
# Scheduling
is_active = Column(Boolean, default=True, index=True)
fetch_interval_minutes = Column(Integer, default=60)
last_fetched_at = Column(DateTime, nullable=True)
last_fetch_error = Column(Text, nullable=True)
# Statistiken
total_items_fetched = Column(Integer, default=0)
items_kept = Column(Integer, default=0)
items_dropped = Column(Integer, default=0)
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
# Relationships
alerts = relationship("AlertItemDB", back_populates="topic", cascade="all, delete-orphan")
rules = relationship("AlertRuleDB", back_populates="topic", cascade="all, delete-orphan")
def __repr__(self):
return f"<AlertTopic {self.name} ({self.feed_type.value})>"
class AlertItemDB(Base):
"""
Einzelner Alert-Eintrag.
Entspricht einem Artikel/Link aus Google Alerts oder RSS.
"""
__tablename__ = 'alert_items'
id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
topic_id = Column(String(36), ForeignKey('alert_topics.id', ondelete='CASCADE'), nullable=False, index=True)
# Content
title = Column(Text, nullable=False)
url = Column(String(2000), nullable=False)
snippet = Column(Text, default="")
article_text = Column(Text, nullable=True) # Volltext (optional)
# Metadaten
lang = Column(String(10), default="de")
published_at = Column(DateTime, nullable=True, index=True)
fetched_at = Column(DateTime, default=datetime.utcnow, index=True)
processed_at = Column(DateTime, nullable=True)
# Source
source = Column(
SQLEnum(AlertSourceEnum),
default=AlertSourceEnum.GOOGLE_ALERTS_RSS,
nullable=False
)
# Deduplication
url_hash = Column(String(64), unique=True, nullable=False, index=True)
content_hash = Column(String(64), nullable=True) # SimHash für Fuzzy-Matching
canonical_url = Column(String(2000), nullable=True)
# Status
status = Column(
SQLEnum(AlertStatusEnum),
default=AlertStatusEnum.NEW,
nullable=False,
index=True
)
cluster_id = Column(String(36), nullable=True) # Gruppierung ähnlicher Alerts
# Relevanz-Scoring
relevance_score = Column(Float, nullable=True)
relevance_decision = Column(
SQLEnum(RelevanceDecisionEnum),
nullable=True,
index=True
)
relevance_reasons = Column(JSON, default=list) # ["matches_priority", ...]
relevance_summary = Column(Text, nullable=True)
scored_by_model = Column(String(100), nullable=True) # "llama3.1:8b"
scored_at = Column(DateTime, nullable=True)
# User Actions
user_marked_relevant = Column(Boolean, nullable=True) # Explizites Feedback
user_tags = Column(JSON, default=list) # ["wichtig", "später lesen"]
user_notes = Column(Text, nullable=True)
# Guided Mode Fields (NEU)
importance_level = Column(
SQLEnum(ImportanceLevelEnum),
nullable=True,
index=True
)
why_relevant = Column(Text, nullable=True) # "Warum relevant?" Erklärung
next_steps = Column(JSON, default=list) # ["Schulleitung informieren", "Frist beachten"]
action_deadline = Column(DateTime, nullable=True) # Falls es eine Frist gibt
source_name = Column(String(255), nullable=True) # "Kultusministerium NRW"
source_credibility = Column(String(50), default="official") # official, news, blog
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
# Relationship
topic = relationship("AlertTopicDB", back_populates="alerts")
# Composite Index für häufige Queries
__table_args__ = (
Index('ix_alert_items_topic_status', 'topic_id', 'status'),
Index('ix_alert_items_topic_decision', 'topic_id', 'relevance_decision'),
)
def __repr__(self):
return f"<AlertItem {self.id[:8]}: {self.title[:50]}... ({self.status.value})>"
class AlertRuleDB(Base):
"""
Filterregel für Alerts.
Definiert Bedingungen und Aktionen für automatische Verarbeitung.
"""
__tablename__ = 'alert_rules'
id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
topic_id = Column(String(36), ForeignKey('alert_topics.id', ondelete='CASCADE'), nullable=True, index=True)
user_id = Column(String(36), nullable=True, index=True)
# Rule-Details
name = Column(String(255), nullable=False)
description = Column(Text, default="")
# Bedingungen (als JSON)
# Format: [{"field": "title", "op": "contains", "value": "..."}]
conditions = Column(JSON, nullable=False, default=list)
# Aktion
action_type = Column(
SQLEnum(RuleActionEnum),
default=RuleActionEnum.KEEP,
nullable=False
)
action_config = Column(JSON, default=dict) # {"email": "x@y.z", "tags": [...]}
# Priorisierung (höher = wird zuerst ausgeführt)
priority = Column(Integer, default=0, index=True)
is_active = Column(Boolean, default=True, index=True)
# Statistiken
match_count = Column(Integer, default=0)
last_matched_at = Column(DateTime, nullable=True)
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
# Relationship
topic = relationship("AlertTopicDB", back_populates="rules")
def __repr__(self):
return f"<AlertRule {self.name} ({self.action_type.value})>"
class AlertProfileDB(Base):
"""
Nutzer-Profil für Relevanz-Scoring.
Speichert Prioritäten, Ausschlüsse und Lern-Beispiele.
"""
__tablename__ = 'alert_profiles'
id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
user_id = Column(String(36), unique=True, nullable=True, index=True)
# Name für Anzeige (falls mehrere Profile pro User)
name = Column(String(255), default="Default")
# Relevanz-Kriterien
# Format: [{"label": "Inklusion", "weight": 0.9, "keywords": [...], "description": "..."}]
priorities = Column(JSON, default=list)
# Ausschluss-Keywords
exclusions = Column(JSON, default=list) # ["Stellenanzeige", "Werbung"]
# Few-Shot Beispiele für LLM
# Format: [{"title": "...", "url": "...", "reason": "...", "added_at": "..."}]
positive_examples = Column(JSON, default=list)
negative_examples = Column(JSON, default=list)
# Policies
# Format: {"prefer_german_sources": true, "max_age_days": 30}
policies = Column(JSON, default=dict)
# Statistiken
total_scored = Column(Integer, default=0)
total_kept = Column(Integer, default=0)
total_dropped = Column(Integer, default=0)
accuracy_estimate = Column(Float, nullable=True)
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
def __repr__(self):
return f"<AlertProfile {self.name} (user={self.user_id})>"
def get_prompt_context(self) -> str:
"""
Generiere Kontext für LLM-Prompt.
Dieser Text wird in den System-Prompt des Relevanz-Scorers eingefügt.
"""
lines = ["## Relevanzprofil des Nutzers\n"]
# Prioritäten
if self.priorities:
lines.append("### Prioritäten (Themen von Interesse):")
for p in self.priorities:
weight = p.get("weight", 0.5)
weight_label = "Sehr wichtig" if weight > 0.7 else "Wichtig" if weight > 0.4 else "Interessant"
lines.append(f"- **{p.get('label', 'Unbenannt')}** ({weight_label})")
if p.get("description"):
lines.append(f" {p['description']}")
if p.get("keywords"):
lines.append(f" Keywords: {', '.join(p['keywords'])}")
lines.append("")
# Ausschlüsse
if self.exclusions:
lines.append("### Ausschlüsse (ignorieren):")
lines.append(f"Themen mit diesen Keywords: {', '.join(self.exclusions)}")
lines.append("")
# Positive Beispiele (letzte 5)
if self.positive_examples:
lines.append("### Beispiele für relevante Alerts:")
for ex in self.positive_examples[-5:]:
lines.append(f"- \"{ex.get('title', '')}\"")
if ex.get("reason"):
lines.append(f" Grund: {ex['reason']}")
lines.append("")
# Negative Beispiele (letzte 5)
if self.negative_examples:
lines.append("### Beispiele für irrelevante Alerts:")
for ex in self.negative_examples[-5:]:
lines.append(f"- \"{ex.get('title', '')}\"")
if ex.get("reason"):
lines.append(f" Grund: {ex['reason']}")
lines.append("")
# Policies
if self.policies:
lines.append("### Zusätzliche Regeln:")
for key, value in self.policies.items():
lines.append(f"- {key}: {value}")
return "\n".join(lines)
@classmethod
def create_default_education_profile(cls) -> "AlertProfileDB":
"""
Erstelle ein Standard-Profil für Bildungsthemen.
"""
return cls(
name="Bildung Default",
priorities=[
{
"label": "Inklusion",
"weight": 0.9,
"keywords": ["inklusiv", "Förderbedarf", "Behinderung", "Barrierefreiheit"],
"description": "Inklusive Bildung, Förderschulen, Nachteilsausgleich"
},
{
"label": "Datenschutz Schule",
"weight": 0.85,
"keywords": ["DSGVO", "Schülerfotos", "Einwilligung", "personenbezogene Daten"],
"description": "DSGVO in Schulen, Datenschutz bei Klassenfotos"
},
{
"label": "Schulrecht Bayern",
"weight": 0.8,
"keywords": ["BayEUG", "Schulordnung", "Kultusministerium", "Bayern"],
"description": "Bayerisches Schulrecht, Verordnungen"
},
{
"label": "Digitalisierung Schule",
"weight": 0.7,
"keywords": ["DigitalPakt", "Tablet-Klasse", "Lernplattform"],
"description": "Digitale Medien im Unterricht"
},
],
exclusions=["Stellenanzeige", "Praktikum gesucht", "Werbung", "Pressemitteilung"],
policies={
"prefer_german_sources": True,
"max_age_days": 30,
"min_content_length": 100,
}
)
# ============================================================================
# DUAL-MODE SYSTEM: Templates, Subscriptions, Sources, Digests
# ============================================================================
class AlertTemplateDB(Base):
"""
Vorkonfigurierte Alert-Templates (Playbooks).
Für Guided Mode: Lehrer wählen 1-3 Templates statt RSS-Feeds zu konfigurieren.
"""
__tablename__ = 'alert_templates'
id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
# Template-Identität
slug = Column(String(100), unique=True, nullable=False) # "foerderprogramme", "abitur-updates"
name = Column(String(255), nullable=False) # "Förderprogramme & Fristen"
description = Column(Text, default="") # B1/B2 Deutsch, 1-2 Sätze
icon = Column(String(50), default="") # Emoji: "💰", "📝", "⚖️"
category = Column(String(100), default="") # "administration", "teaching", "it"
# Zielgruppen (welche Rollen profitieren)
target_roles = Column(JSON, default=list) # ["schulleitung", "lehrkraft"]
# Template-Konfiguration
topics_config = Column(JSON, default=list) # Vorkonfigurierte RSS-Feeds
rules_config = Column(JSON, default=list) # Vorkonfigurierte Regeln
profile_config = Column(JSON, default=dict) # Prioritäten/Ausschlüsse
# Importance-Mapping (Score → 5 Stufen)
importance_config = Column(JSON, default=dict) # {"critical": 0.90, "urgent": 0.75, ...}
# Ausgabe-Einstellungen
max_cards_per_day = Column(Integer, default=10)
digest_enabled = Column(Boolean, default=True)
digest_day = Column(String(20), default="monday") # Tag für wöchentlichen Digest
# Lokalisierung
language = Column(String(10), default="de")
# Metadata
is_active = Column(Boolean, default=True)
is_premium = Column(Boolean, default=False) # Für kostenpflichtige Templates
sort_order = Column(Integer, default=0)
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
# Relationships
subscriptions = relationship("UserAlertSubscriptionDB", back_populates="template")
def __repr__(self):
return f"<AlertTemplate {self.slug}: {self.name}>"
class AlertSourceDB(Base):
"""
Alert-Quelle für Migration bestehender Alerts.
Unterstützt: E-Mail-Weiterleitung, RSS-Import, Rekonstruktion.
"""
__tablename__ = 'alert_sources'
id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
tenant_id = Column(String(36), nullable=True, index=True) # Für Multi-Tenant
user_id = Column(String(36), nullable=True, index=True)
# Quellen-Typ
source_type = Column(
SQLEnum(FeedTypeEnum),
default=FeedTypeEnum.RSS,
nullable=False
)
# Original-Bezeichnung (vom Kunden)
original_label = Column(String(255), nullable=True) # "EU IT Ausschreibungen"
# E-Mail-Weiterleitung
inbound_address = Column(String(255), nullable=True, unique=True) # alerts+tenant123@breakpilot.app
# RSS-Import
rss_url = Column(String(2000), nullable=True)
# Migration-Modus
migration_mode = Column(
SQLEnum(MigrationModeEnum),
default=MigrationModeEnum.IMPORT,
nullable=False
)
# Verknüpfung zu erstelltem Topic
topic_id = Column(String(36), ForeignKey('alert_topics.id', ondelete='SET NULL'), nullable=True)
# Status
is_active = Column(Boolean, default=True)
items_received = Column(Integer, default=0)
last_item_at = Column(DateTime, nullable=True)
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
def __repr__(self):
return f"<AlertSource {self.source_type.value}: {self.original_label}>"
class UserAlertSubscriptionDB(Base):
"""
User-Subscription für Alert-Templates oder Expert-Profile.
Speichert Modus-Wahl, Template-Verknüpfung und Wizard-Zustand.
"""
__tablename__ = 'user_alert_subscriptions'
id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
user_id = Column(String(36), nullable=False, index=True)
school_id = Column(String(36), nullable=True, index=True) # Optional: Schulkontext
# Modus-Auswahl
mode = Column(
SQLEnum(AlertModeEnum),
default=AlertModeEnum.GUIDED,
nullable=False
)
# Nutzer-Rolle (für Guided Mode)
user_role = Column(
SQLEnum(UserRoleEnum),
nullable=True
)
# Template-Verknüpfung (Guided Mode) - kann mehrere sein
template_id = Column(String(36), ForeignKey('alert_templates.id', ondelete='SET NULL'), nullable=True)
selected_template_ids = Column(JSON, default=list) # Bis zu 3 Templates
# Profil-Verknüpfung (Expert Mode)
profile_id = Column(String(36), ForeignKey('alert_profiles.id', ondelete='SET NULL'), nullable=True)
# Subscription-Einstellungen
is_active = Column(Boolean, default=True)
notification_email = Column(String(255), nullable=True)
# Digest-Präferenzen
digest_enabled = Column(Boolean, default=True)
digest_frequency = Column(String(20), default="weekly") # weekly, daily
digest_day = Column(String(20), default="monday")
last_digest_sent_at = Column(DateTime, nullable=True)
# Wizard-Zustand (für unvollständige Setups)
wizard_step = Column(Integer, default=0)
wizard_completed = Column(Boolean, default=False)
wizard_state = Column(JSON, default=dict) # Zwischenspeicher für Wizard-Daten
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
# Relationships
template = relationship("AlertTemplateDB", back_populates="subscriptions")
profile = relationship("AlertProfileDB")
digests = relationship("AlertDigestDB", back_populates="subscription", cascade="all, delete-orphan")
def __repr__(self):
return f"<UserAlertSubscription {self.user_id} ({self.mode.value})>"
class AlertDigestDB(Base):
"""
Wöchentliche Digest-Zusammenfassung.
Enthält gerenderte Zusammenfassung + Statistiken.
"""
__tablename__ = 'alert_digests'
id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
subscription_id = Column(String(36), ForeignKey('user_alert_subscriptions.id', ondelete='CASCADE'), nullable=False, index=True)
user_id = Column(String(36), nullable=False, index=True)
# Zeitraum
period_start = Column(DateTime, nullable=False)
period_end = Column(DateTime, nullable=False)
# Content
title = Column(String(255), default="") # "KW 3/2026 - Ihre Bildungs-Alerts"
summary_html = Column(Text, default="") # Gerenderte HTML-Zusammenfassung
summary_pdf_url = Column(String(500), nullable=True) # Link zum PDF-Export
# Statistiken
total_alerts = Column(Integer, default=0)
kritisch_count = Column(Integer, default=0)
dringend_count = Column(Integer, default=0)
wichtig_count = Column(Integer, default=0)
pruefen_count = Column(Integer, default=0)
info_count = Column(Integer, default=0)
# Enthaltene Alert-IDs
alert_ids = Column(JSON, default=list)
# Status
status = Column(
SQLEnum(DigestStatusEnum),
default=DigestStatusEnum.PENDING,
nullable=False
)
sent_at = Column(DateTime, nullable=True)
error_message = Column(Text, nullable=True)
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow)
# Relationships
subscription = relationship("UserAlertSubscriptionDB", back_populates="digests")
def __repr__(self):
return f"<AlertDigest {self.title} ({self.status.value})>"

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"""
Repository für Alerts Agent - CRUD Operationen für Topics, Items, Rules und Profile.
Abstraktion der Datenbank-Operationen.
"""
import hashlib
from datetime import datetime
from typing import Optional, List, Dict, Any
from sqlalchemy.orm import Session as DBSession
from sqlalchemy.orm.attributes import flag_modified
from sqlalchemy import or_, and_, func
from .models import (
AlertTopicDB, AlertItemDB, AlertRuleDB, AlertProfileDB,
AlertSourceEnum, AlertStatusEnum, RelevanceDecisionEnum,
FeedTypeEnum, RuleActionEnum
)
# =============================================================================
# TOPIC REPOSITORY
# =============================================================================
class TopicRepository:
"""Repository für Alert Topics (Feed-Quellen)."""
def __init__(self, db: DBSession):
self.db = db
# ==================== CREATE ====================
def create(
self,
name: str,
feed_url: str = None,
feed_type: str = "rss",
user_id: str = None,
description: str = "",
fetch_interval_minutes: int = 60,
is_active: bool = True,
) -> AlertTopicDB:
"""Erstellt ein neues Topic."""
import uuid
topic = AlertTopicDB(
id=str(uuid.uuid4()),
user_id=user_id,
name=name,
description=description,
feed_url=feed_url,
feed_type=FeedTypeEnum(feed_type),
fetch_interval_minutes=fetch_interval_minutes,
is_active=is_active,
)
self.db.add(topic)
self.db.commit()
self.db.refresh(topic)
return topic
# ==================== READ ====================
def get_by_id(self, topic_id: str) -> Optional[AlertTopicDB]:
"""Holt ein Topic nach ID."""
return self.db.query(AlertTopicDB).filter(
AlertTopicDB.id == topic_id
).first()
def get_all(
self,
user_id: str = None,
is_active: bool = None,
limit: int = 100,
offset: int = 0,
) -> List[AlertTopicDB]:
"""Holt alle Topics mit optionalen Filtern."""
query = self.db.query(AlertTopicDB)
if user_id:
query = query.filter(AlertTopicDB.user_id == user_id)
if is_active is not None:
query = query.filter(AlertTopicDB.is_active == is_active)
return query.order_by(
AlertTopicDB.created_at.desc()
).offset(offset).limit(limit).all()
def get_active_for_fetch(self) -> List[AlertTopicDB]:
"""Holt alle aktiven Topics die gefetcht werden sollten."""
# Topics wo fetch_interval_minutes vergangen ist
return self.db.query(AlertTopicDB).filter(
AlertTopicDB.is_active == True,
AlertTopicDB.feed_url.isnot(None),
).all()
# ==================== UPDATE ====================
def update(
self,
topic_id: str,
name: str = None,
description: str = None,
feed_url: str = None,
feed_type: str = None,
is_active: bool = None,
fetch_interval_minutes: int = None,
) -> Optional[AlertTopicDB]:
"""Aktualisiert ein Topic."""
topic = self.get_by_id(topic_id)
if not topic:
return None
if name is not None:
topic.name = name
if description is not None:
topic.description = description
if feed_url is not None:
topic.feed_url = feed_url
if feed_type is not None:
topic.feed_type = FeedTypeEnum(feed_type)
if is_active is not None:
topic.is_active = is_active
if fetch_interval_minutes is not None:
topic.fetch_interval_minutes = fetch_interval_minutes
self.db.commit()
self.db.refresh(topic)
return topic
def update_fetch_status(
self,
topic_id: str,
last_fetch_error: str = None,
items_fetched: int = 0,
) -> Optional[AlertTopicDB]:
"""Aktualisiert den Fetch-Status eines Topics."""
topic = self.get_by_id(topic_id)
if not topic:
return None
topic.last_fetched_at = datetime.utcnow()
topic.last_fetch_error = last_fetch_error
topic.total_items_fetched += items_fetched
self.db.commit()
self.db.refresh(topic)
return topic
def increment_stats(
self,
topic_id: str,
kept: int = 0,
dropped: int = 0,
) -> Optional[AlertTopicDB]:
"""Erhöht die Statistiken eines Topics."""
topic = self.get_by_id(topic_id)
if not topic:
return None
topic.items_kept += kept
topic.items_dropped += dropped
self.db.commit()
self.db.refresh(topic)
return topic
# ==================== DELETE ====================
def delete(self, topic_id: str) -> bool:
"""Löscht ein Topic (und alle zugehörigen Items via CASCADE)."""
topic = self.get_by_id(topic_id)
if not topic:
return False
self.db.delete(topic)
self.db.commit()
return True
# ==================== CONVERSION ====================
def to_dict(self, topic: AlertTopicDB) -> Dict[str, Any]:
"""Konvertiert DB-Model zu Dictionary."""
return {
"id": topic.id,
"user_id": topic.user_id,
"name": topic.name,
"description": topic.description,
"feed_url": topic.feed_url,
"feed_type": topic.feed_type.value,
"is_active": topic.is_active,
"fetch_interval_minutes": topic.fetch_interval_minutes,
"last_fetched_at": topic.last_fetched_at.isoformat() if topic.last_fetched_at else None,
"last_fetch_error": topic.last_fetch_error,
"stats": {
"total_items_fetched": topic.total_items_fetched,
"items_kept": topic.items_kept,
"items_dropped": topic.items_dropped,
},
"created_at": topic.created_at.isoformat() if topic.created_at else None,
"updated_at": topic.updated_at.isoformat() if topic.updated_at else None,
}
# =============================================================================
# ALERT ITEM REPOSITORY
# =============================================================================
class AlertItemRepository:
"""Repository für Alert Items (einzelne Alerts/Artikel)."""
def __init__(self, db: DBSession):
self.db = db
# ==================== CREATE ====================
def create(
self,
topic_id: str,
title: str,
url: str,
snippet: str = "",
source: str = "google_alerts_rss",
published_at: datetime = None,
lang: str = "de",
) -> AlertItemDB:
"""Erstellt einen neuen Alert."""
import uuid
# URL-Hash berechnen
url_hash = self._compute_url_hash(url)
alert = AlertItemDB(
id=str(uuid.uuid4()),
topic_id=topic_id,
title=title,
url=url,
snippet=snippet,
source=AlertSourceEnum(source),
published_at=published_at,
lang=lang,
url_hash=url_hash,
canonical_url=self._normalize_url(url),
)
self.db.add(alert)
self.db.commit()
self.db.refresh(alert)
return alert
def create_if_not_exists(
self,
topic_id: str,
title: str,
url: str,
snippet: str = "",
source: str = "google_alerts_rss",
published_at: datetime = None,
) -> Optional[AlertItemDB]:
"""Erstellt einen Alert nur wenn URL noch nicht existiert."""
url_hash = self._compute_url_hash(url)
existing = self.db.query(AlertItemDB).filter(
AlertItemDB.url_hash == url_hash
).first()
if existing:
return None # Duplikat
return self.create(
topic_id=topic_id,
title=title,
url=url,
snippet=snippet,
source=source,
published_at=published_at,
)
# ==================== READ ====================
def get_by_id(self, alert_id: str) -> Optional[AlertItemDB]:
"""Holt einen Alert nach ID."""
return self.db.query(AlertItemDB).filter(
AlertItemDB.id == alert_id
).first()
def get_by_url_hash(self, url_hash: str) -> Optional[AlertItemDB]:
"""Holt einen Alert nach URL-Hash."""
return self.db.query(AlertItemDB).filter(
AlertItemDB.url_hash == url_hash
).first()
def get_inbox(
self,
user_id: str = None,
topic_id: str = None,
decision: str = None,
status: str = None,
limit: int = 50,
offset: int = 0,
) -> List[AlertItemDB]:
"""
Holt Inbox-Items mit Filtern.
Ohne decision werden KEEP und REVIEW angezeigt.
"""
query = self.db.query(AlertItemDB)
if topic_id:
query = query.filter(AlertItemDB.topic_id == topic_id)
if decision:
query = query.filter(
AlertItemDB.relevance_decision == RelevanceDecisionEnum(decision)
)
else:
# Default: KEEP und REVIEW
query = query.filter(
or_(
AlertItemDB.relevance_decision == RelevanceDecisionEnum.KEEP,
AlertItemDB.relevance_decision == RelevanceDecisionEnum.REVIEW,
AlertItemDB.relevance_decision.is_(None)
)
)
if status:
query = query.filter(AlertItemDB.status == AlertStatusEnum(status))
return query.order_by(
AlertItemDB.relevance_score.desc().nullslast(),
AlertItemDB.fetched_at.desc()
).offset(offset).limit(limit).all()
def get_unscored(
self,
topic_id: str = None,
limit: int = 100,
) -> List[AlertItemDB]:
"""Holt alle unbewerteten Alerts."""
query = self.db.query(AlertItemDB).filter(
AlertItemDB.status == AlertStatusEnum.NEW
)
if topic_id:
query = query.filter(AlertItemDB.topic_id == topic_id)
return query.order_by(AlertItemDB.fetched_at.desc()).limit(limit).all()
def get_by_topic(
self,
topic_id: str,
limit: int = 100,
offset: int = 0,
) -> List[AlertItemDB]:
"""Holt alle Alerts eines Topics."""
return self.db.query(AlertItemDB).filter(
AlertItemDB.topic_id == topic_id
).order_by(
AlertItemDB.fetched_at.desc()
).offset(offset).limit(limit).all()
def count_by_status(self, topic_id: str = None) -> Dict[str, int]:
"""Zählt Alerts nach Status."""
query = self.db.query(
AlertItemDB.status,
func.count(AlertItemDB.id).label('count')
)
if topic_id:
query = query.filter(AlertItemDB.topic_id == topic_id)
results = query.group_by(AlertItemDB.status).all()
return {r[0].value: r[1] for r in results}
def count_by_decision(self, topic_id: str = None) -> Dict[str, int]:
"""Zählt Alerts nach Relevanz-Entscheidung."""
query = self.db.query(
AlertItemDB.relevance_decision,
func.count(AlertItemDB.id).label('count')
)
if topic_id:
query = query.filter(AlertItemDB.topic_id == topic_id)
results = query.group_by(AlertItemDB.relevance_decision).all()
return {
(r[0].value if r[0] else "unscored"): r[1]
for r in results
}
# ==================== UPDATE ====================
def update_scoring(
self,
alert_id: str,
score: float,
decision: str,
reasons: List[str] = None,
summary: str = None,
model: str = None,
) -> Optional[AlertItemDB]:
"""Aktualisiert das Scoring eines Alerts."""
alert = self.get_by_id(alert_id)
if not alert:
return None
alert.relevance_score = score
alert.relevance_decision = RelevanceDecisionEnum(decision)
alert.relevance_reasons = reasons or []
alert.relevance_summary = summary
alert.scored_by_model = model
alert.scored_at = datetime.utcnow()
alert.status = AlertStatusEnum.SCORED
alert.processed_at = datetime.utcnow()
self.db.commit()
self.db.refresh(alert)
return alert
def update_status(
self,
alert_id: str,
status: str,
) -> Optional[AlertItemDB]:
"""Aktualisiert den Status eines Alerts."""
alert = self.get_by_id(alert_id)
if not alert:
return None
alert.status = AlertStatusEnum(status)
self.db.commit()
self.db.refresh(alert)
return alert
def mark_reviewed(
self,
alert_id: str,
is_relevant: bool,
notes: str = None,
tags: List[str] = None,
) -> Optional[AlertItemDB]:
"""Markiert einen Alert als reviewed mit Feedback."""
alert = self.get_by_id(alert_id)
if not alert:
return None
alert.status = AlertStatusEnum.REVIEWED
alert.user_marked_relevant = is_relevant
if notes:
alert.user_notes = notes
if tags:
alert.user_tags = tags
self.db.commit()
self.db.refresh(alert)
return alert
def archive(self, alert_id: str) -> Optional[AlertItemDB]:
"""Archiviert einen Alert."""
return self.update_status(alert_id, "archived")
# ==================== DELETE ====================
def delete(self, alert_id: str) -> bool:
"""Löscht einen Alert."""
alert = self.get_by_id(alert_id)
if not alert:
return False
self.db.delete(alert)
self.db.commit()
return True
def delete_old(self, days: int = 90, topic_id: str = None) -> int:
"""Löscht alte archivierte Alerts."""
from datetime import timedelta
cutoff = datetime.utcnow() - timedelta(days=days)
query = self.db.query(AlertItemDB).filter(
AlertItemDB.status == AlertStatusEnum.ARCHIVED,
AlertItemDB.fetched_at < cutoff,
)
if topic_id:
query = query.filter(AlertItemDB.topic_id == topic_id)
count = query.delete()
self.db.commit()
return count
# ==================== FOR RSS FETCHER ====================
def get_existing_urls(self, topic_id: str) -> set:
"""
Holt alle bekannten URL-Hashes für ein Topic.
Wird vom RSS-Fetcher verwendet um Duplikate zu vermeiden.
"""
results = self.db.query(AlertItemDB.url_hash).filter(
AlertItemDB.topic_id == topic_id
).all()
return {r[0] for r in results if r[0]}
def create_from_alert_item(self, alert_item, topic_id: str) -> AlertItemDB:
"""
Erstellt einen Alert aus einem AlertItem-Objekt vom RSS-Fetcher.
Args:
alert_item: AlertItem from rss_fetcher
topic_id: Topic ID to associate with
Returns:
Created AlertItemDB instance
"""
return self.create(
topic_id=topic_id,
title=alert_item.title,
url=alert_item.url,
snippet=alert_item.snippet or "",
source=alert_item.source.value if hasattr(alert_item.source, 'value') else str(alert_item.source),
published_at=alert_item.published_at,
)
# ==================== HELPER ====================
def _compute_url_hash(self, url: str) -> str:
"""Berechnet SHA256 Hash der normalisierten URL."""
normalized = self._normalize_url(url)
return hashlib.sha256(normalized.encode()).hexdigest()[:16]
def _normalize_url(self, url: str) -> str:
"""Normalisiert URL für Deduplizierung."""
import urllib.parse
parsed = urllib.parse.urlparse(url)
# Tracking-Parameter entfernen
tracking_params = {
"utm_source", "utm_medium", "utm_campaign", "utm_content", "utm_term",
"fbclid", "gclid", "ref", "source"
}
query_params = urllib.parse.parse_qs(parsed.query)
cleaned_params = {k: v for k, v in query_params.items()
if k.lower() not in tracking_params}
cleaned_query = urllib.parse.urlencode(cleaned_params, doseq=True)
# Rekonstruiere URL ohne Fragment
normalized = urllib.parse.urlunparse((
parsed.scheme,
parsed.netloc.lower(),
parsed.path.rstrip("/"),
parsed.params,
cleaned_query,
"" # No fragment
))
return normalized
# ==================== CONVERSION ====================
def to_dict(self, alert: AlertItemDB) -> Dict[str, Any]:
"""Konvertiert DB-Model zu Dictionary."""
return {
"id": alert.id,
"topic_id": alert.topic_id,
"title": alert.title,
"url": alert.url,
"snippet": alert.snippet,
"source": alert.source.value,
"lang": alert.lang,
"published_at": alert.published_at.isoformat() if alert.published_at else None,
"fetched_at": alert.fetched_at.isoformat() if alert.fetched_at else None,
"status": alert.status.value,
"relevance": {
"score": alert.relevance_score,
"decision": alert.relevance_decision.value if alert.relevance_decision else None,
"reasons": alert.relevance_reasons,
"summary": alert.relevance_summary,
"model": alert.scored_by_model,
"scored_at": alert.scored_at.isoformat() if alert.scored_at else None,
},
"user_feedback": {
"marked_relevant": alert.user_marked_relevant,
"tags": alert.user_tags,
"notes": alert.user_notes,
},
}
# =============================================================================
# ALERT RULE REPOSITORY
# =============================================================================
class RuleRepository:
"""Repository für Alert Rules (Filterregeln)."""
def __init__(self, db: DBSession):
self.db = db
# ==================== CREATE ====================
def create(
self,
name: str,
conditions: List[Dict],
action_type: str = "keep",
action_config: Dict = None,
topic_id: str = None,
user_id: str = None,
description: str = "",
priority: int = 0,
) -> AlertRuleDB:
"""Erstellt eine neue Regel."""
import uuid
rule = AlertRuleDB(
id=str(uuid.uuid4()),
topic_id=topic_id,
user_id=user_id,
name=name,
description=description,
conditions=conditions,
action_type=RuleActionEnum(action_type),
action_config=action_config or {},
priority=priority,
)
self.db.add(rule)
self.db.commit()
self.db.refresh(rule)
return rule
# ==================== READ ====================
def get_by_id(self, rule_id: str) -> Optional[AlertRuleDB]:
"""Holt eine Regel nach ID."""
return self.db.query(AlertRuleDB).filter(
AlertRuleDB.id == rule_id
).first()
def get_active(
self,
topic_id: str = None,
user_id: str = None,
) -> List[AlertRuleDB]:
"""Holt alle aktiven Regeln, sortiert nach Priorität."""
query = self.db.query(AlertRuleDB).filter(
AlertRuleDB.is_active == True
)
if topic_id:
# Topic-spezifische und globale Regeln
query = query.filter(
or_(
AlertRuleDB.topic_id == topic_id,
AlertRuleDB.topic_id.is_(None)
)
)
if user_id:
query = query.filter(
or_(
AlertRuleDB.user_id == user_id,
AlertRuleDB.user_id.is_(None)
)
)
return query.order_by(AlertRuleDB.priority.desc()).all()
def get_all(
self,
user_id: str = None,
topic_id: str = None,
is_active: bool = None,
) -> List[AlertRuleDB]:
"""Holt alle Regeln mit optionalen Filtern."""
query = self.db.query(AlertRuleDB)
if user_id:
query = query.filter(AlertRuleDB.user_id == user_id)
if topic_id:
query = query.filter(AlertRuleDB.topic_id == topic_id)
if is_active is not None:
query = query.filter(AlertRuleDB.is_active == is_active)
return query.order_by(AlertRuleDB.priority.desc()).all()
# ==================== UPDATE ====================
def update(
self,
rule_id: str,
name: str = None,
description: str = None,
conditions: List[Dict] = None,
action_type: str = None,
action_config: Dict = None,
priority: int = None,
is_active: bool = None,
) -> Optional[AlertRuleDB]:
"""Aktualisiert eine Regel."""
rule = self.get_by_id(rule_id)
if not rule:
return None
if name is not None:
rule.name = name
if description is not None:
rule.description = description
if conditions is not None:
rule.conditions = conditions
if action_type is not None:
rule.action_type = RuleActionEnum(action_type)
if action_config is not None:
rule.action_config = action_config
if priority is not None:
rule.priority = priority
if is_active is not None:
rule.is_active = is_active
self.db.commit()
self.db.refresh(rule)
return rule
def increment_match_count(self, rule_id: str) -> Optional[AlertRuleDB]:
"""Erhöht den Match-Counter einer Regel."""
rule = self.get_by_id(rule_id)
if not rule:
return None
rule.match_count += 1
rule.last_matched_at = datetime.utcnow()
self.db.commit()
self.db.refresh(rule)
return rule
# ==================== DELETE ====================
def delete(self, rule_id: str) -> bool:
"""Löscht eine Regel."""
rule = self.get_by_id(rule_id)
if not rule:
return False
self.db.delete(rule)
self.db.commit()
return True
# ==================== CONVERSION ====================
def to_dict(self, rule: AlertRuleDB) -> Dict[str, Any]:
"""Konvertiert DB-Model zu Dictionary."""
return {
"id": rule.id,
"topic_id": rule.topic_id,
"user_id": rule.user_id,
"name": rule.name,
"description": rule.description,
"conditions": rule.conditions,
"action_type": rule.action_type.value,
"action_config": rule.action_config,
"priority": rule.priority,
"is_active": rule.is_active,
"stats": {
"match_count": rule.match_count,
"last_matched_at": rule.last_matched_at.isoformat() if rule.last_matched_at else None,
},
"created_at": rule.created_at.isoformat() if rule.created_at else None,
"updated_at": rule.updated_at.isoformat() if rule.updated_at else None,
}
# =============================================================================
# ALERT PROFILE REPOSITORY
# =============================================================================
class ProfileRepository:
"""Repository für Alert Profiles (Nutzer-Profile für Relevanz-Scoring)."""
def __init__(self, db: DBSession):
self.db = db
# ==================== CREATE / GET-OR-CREATE ====================
def get_or_create(self, user_id: str = None) -> AlertProfileDB:
"""Holt oder erstellt ein Profil."""
profile = self.get_by_user_id(user_id)
if profile:
return profile
# Neues Profil erstellen
import uuid
profile = AlertProfileDB(
id=str(uuid.uuid4()),
user_id=user_id,
name="Default" if not user_id else f"Profile {user_id[:8]}",
)
self.db.add(profile)
self.db.commit()
self.db.refresh(profile)
return profile
def create_default_education_profile(self, user_id: str = None) -> AlertProfileDB:
"""Erstellt ein Standard-Profil für Bildungsthemen."""
import uuid
profile = AlertProfileDB(
id=str(uuid.uuid4()),
user_id=user_id,
name="Bildung Default",
priorities=[
{
"label": "Inklusion",
"weight": 0.9,
"keywords": ["inklusiv", "Förderbedarf", "Behinderung", "Barrierefreiheit"],
"description": "Inklusive Bildung, Förderschulen, Nachteilsausgleich"
},
{
"label": "Datenschutz Schule",
"weight": 0.85,
"keywords": ["DSGVO", "Schülerfotos", "Einwilligung", "personenbezogene Daten"],
"description": "DSGVO in Schulen, Datenschutz bei Klassenfotos"
},
{
"label": "Schulrecht Bayern",
"weight": 0.8,
"keywords": ["BayEUG", "Schulordnung", "Kultusministerium", "Bayern"],
"description": "Bayerisches Schulrecht, Verordnungen"
},
{
"label": "Digitalisierung Schule",
"weight": 0.7,
"keywords": ["DigitalPakt", "Tablet-Klasse", "Lernplattform"],
"description": "Digitale Medien im Unterricht"
},
],
exclusions=["Stellenanzeige", "Praktikum gesucht", "Werbung", "Pressemitteilung"],
policies={
"prefer_german_sources": True,
"max_age_days": 30,
"min_content_length": 100,
}
)
self.db.add(profile)
self.db.commit()
self.db.refresh(profile)
return profile
# ==================== READ ====================
def get_by_id(self, profile_id: str) -> Optional[AlertProfileDB]:
"""Holt ein Profil nach ID."""
return self.db.query(AlertProfileDB).filter(
AlertProfileDB.id == profile_id
).first()
def get_by_user_id(self, user_id: str) -> Optional[AlertProfileDB]:
"""Holt ein Profil nach User-ID."""
if not user_id:
# Default-Profil ohne User
return self.db.query(AlertProfileDB).filter(
AlertProfileDB.user_id.is_(None)
).first()
return self.db.query(AlertProfileDB).filter(
AlertProfileDB.user_id == user_id
).first()
# ==================== UPDATE ====================
def update_priorities(
self,
profile_id: str,
priorities: List[Dict],
) -> Optional[AlertProfileDB]:
"""Aktualisiert die Prioritäten eines Profils."""
profile = self.get_by_id(profile_id)
if not profile:
return None
profile.priorities = priorities
self.db.commit()
self.db.refresh(profile)
return profile
def update_exclusions(
self,
profile_id: str,
exclusions: List[str],
) -> Optional[AlertProfileDB]:
"""Aktualisiert die Ausschlüsse eines Profils."""
profile = self.get_by_id(profile_id)
if not profile:
return None
profile.exclusions = exclusions
self.db.commit()
self.db.refresh(profile)
return profile
def add_feedback(
self,
profile_id: str,
title: str,
url: str,
is_relevant: bool,
reason: str = "",
) -> Optional[AlertProfileDB]:
"""Fügt Feedback als Beispiel hinzu."""
profile = self.get_by_id(profile_id)
if not profile:
return None
example = {
"title": title,
"url": url,
"reason": reason,
"added_at": datetime.utcnow().isoformat(),
}
if is_relevant:
examples = list(profile.positive_examples or [])
examples.append(example)
profile.positive_examples = examples[-20:] # Max 20
profile.total_kept += 1
flag_modified(profile, "positive_examples")
else:
examples = list(profile.negative_examples or [])
examples.append(example)
profile.negative_examples = examples[-20:] # Max 20
profile.total_dropped += 1
flag_modified(profile, "negative_examples")
profile.total_scored += 1
self.db.commit()
self.db.refresh(profile)
return profile
def update_stats(
self,
profile_id: str,
kept: int = 0,
dropped: int = 0,
) -> Optional[AlertProfileDB]:
"""Aktualisiert die Statistiken eines Profils."""
profile = self.get_by_id(profile_id)
if not profile:
return None
profile.total_scored += kept + dropped
profile.total_kept += kept
profile.total_dropped += dropped
self.db.commit()
self.db.refresh(profile)
return profile
# ==================== DELETE ====================
def delete(self, profile_id: str) -> bool:
"""Löscht ein Profil."""
profile = self.get_by_id(profile_id)
if not profile:
return False
self.db.delete(profile)
self.db.commit()
return True
# ==================== CONVERSION ====================
def to_dict(self, profile: AlertProfileDB) -> Dict[str, Any]:
"""Konvertiert DB-Model zu Dictionary."""
return {
"id": profile.id,
"user_id": profile.user_id,
"name": profile.name,
"priorities": profile.priorities,
"exclusions": profile.exclusions,
"policies": profile.policies,
"examples": {
"positive": len(profile.positive_examples or []),
"negative": len(profile.negative_examples or []),
},
"stats": {
"total_scored": profile.total_scored,
"total_kept": profile.total_kept,
"total_dropped": profile.total_dropped,
"accuracy_estimate": profile.accuracy_estimate,
},
"created_at": profile.created_at.isoformat() if profile.created_at else None,
"updated_at": profile.updated_at.isoformat() if profile.updated_at else None,
}