"""
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})>"