# Copyright (c) 2025 Patrick Motsch
# All rights reserved.
"""FeatureDataSource model for exposing feature instance data to the AI workspace.

A FeatureDataSource links a FeatureInstance table (DATA_OBJECT) to a workspace
so the agent can query structured feature data (e.g. TrusteePosition rows).
"""

from typing import Dict, List, Optional
from pydantic import BaseModel, Field
from modules.datamodels.datamodelBase import PowerOnModel
from modules.shared.i18nRegistry import i18nModel
import uuid


@i18nModel("Feature-Datenquelle")
class FeatureDataSource(PowerOnModel):
    """Feature-Instanz-Tabelle als Datenquelle im AI-Workspace."""
    id: str = Field(
        default_factory=lambda: str(uuid.uuid4()),
        description="Primary key",
        json_schema_extra={"label": "ID"},
    )
    featureInstanceId: str = Field(
        description="FK to FeatureInstance",
        json_schema_extra={"label": "Feature-Instanz", "fk_target": {"db": "poweron_app", "table": "FeatureInstance", "labelField": "label"}},
    )
    featureCode: str = Field(
        description="Feature code (e.g. trustee, commcoach)",
        json_schema_extra={"label": "Feature", "fk_target": {"db": "poweron_app", "table": "Feature", "column": "code", "labelField": "code"}},
    )
    tableName: str = Field(
        description="Table name from DATA_OBJECTS meta (e.g. TrusteePosition)",
        json_schema_extra={"label": "Tabelle"},
    )
    objectKey: str = Field(
        description="RBAC object key (e.g. data.feature.trustee.TrusteePosition)",
        json_schema_extra={"label": "Objekt-Schluessel"},
    )
    label: str = Field(
        description="User-visible label",
        json_schema_extra={"label": "Bezeichnung"},
    )
    mandateId: str = Field(
        default="",
        description="Mandate scope",
        json_schema_extra={"label": "Mandant", "fk_target": {"db": "poweron_app", "table": "Mandate", "labelField": "label"}},
    )
    userId: str = Field(
        default="",
        description="Owner user ID",
        json_schema_extra={"label": "Benutzer", "fk_target": {"db": "poweron_app", "table": "UserInDB", "labelField": "username"}},
    )
    workspaceInstanceId: str = Field(
        description="Workspace feature instance where this source is used",
        json_schema_extra={"label": "Workspace", "fk_target": {"db": "poweron_app", "table": "FeatureInstance", "labelField": "label"}},
    )
    scope: str = Field(
        default="personal",
        description="Data visibility scope: personal, featureInstance, mandate, global",
        json_schema_extra={"label": "Sichtbarkeit", "frontend_type": "select", "frontend_readonly": False, "frontend_required": False, "frontend_options": [
            {"value": "personal", "label": "Persönlich"},
            {"value": "featureInstance", "label": "Feature-Instanz"},
            {"value": "mandate", "label": "Mandant"},
            {"value": "global", "label": "Global"},
        ]},
    )
    neutralize: bool = Field(
        default=False,
        description="Whether this data source should be neutralized before AI processing",
        json_schema_extra={"label": "Neutralisieren", "frontend_type": "checkbox", "frontend_readonly": False, "frontend_required": False},
    )
    neutralizeFields: Optional[List[str]] = Field(
        default=None,
        description="Column names whose values are replaced with placeholders before AI processing",
        json_schema_extra={"label": "Zu neutralisierende Felder", "frontend_type": "multiselect", "frontend_readonly": False, "frontend_required": False},
    )
    recordFilter: Optional[Dict[str, str]] = Field(
        default=None,
        description="Record-level filter applied when querying this table, e.g. {'sessionId': 'abc-123'}",
        json_schema_extra={"label": "Datensatzfilter"},
    )