83 lines
3.8 KiB
Python
83 lines
3.8 KiB
Python
# Copyright (c) 2025 Patrick Motsch
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# All rights reserved.
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"""FeatureDataSource model for exposing feature instance data to the AI workspace.
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A FeatureDataSource links a FeatureInstance table (DATA_OBJECT) to a workspace
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so the agent can query structured feature data (e.g. TrusteePosition rows).
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"""
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from typing import Any, Dict, List, Optional
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from pydantic import BaseModel, Field
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from modules.datamodels.datamodelBase import PowerOnModel
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from modules.shared.i18nRegistry import i18nModel
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import uuid
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@i18nModel("Feature-Datenquelle")
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class FeatureDataSource(PowerOnModel):
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"""Feature-Instanz-Tabelle als Datenquelle im AI-Workspace."""
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id: str = Field(
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default_factory=lambda: str(uuid.uuid4()),
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description="Primary key",
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json_schema_extra={"label": "ID"},
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)
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featureInstanceId: str = Field(
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description="FK to FeatureInstance",
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json_schema_extra={"label": "Feature-Instanz", "fk_target": {"db": "poweron_app", "table": "FeatureInstance", "labelField": "label"}},
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)
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featureCode: str = Field(
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description="Feature code (e.g. trustee, commcoach)",
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json_schema_extra={"label": "Feature", "fk_target": {"db": "poweron_app", "table": "Feature", "column": "code", "labelField": "code"}},
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)
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tableName: str = Field(
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description="Table name from DATA_OBJECTS meta (e.g. TrusteePosition)",
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json_schema_extra={"label": "Tabelle"},
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)
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objectKey: str = Field(
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description="RBAC object key (e.g. data.feature.trustee.TrusteePosition)",
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json_schema_extra={"label": "Objekt-Schluessel"},
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)
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label: str = Field(
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description="User-visible label",
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json_schema_extra={"label": "Bezeichnung"},
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)
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mandateId: str = Field(
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default="",
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description="Mandate scope (set automatically from featureInstance.mandateId on create).",
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json_schema_extra={"label": "Mandant", "fk_target": {"db": "poweron_app", "table": "Mandate", "labelField": "label"}},
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)
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neutralize: Optional[bool] = Field(
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default=None,
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description=(
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"Three-state neutralization flag with cascade-inherit semantics. "
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"None = inherit; True/False = explicit. Cascade-reset on parent toggle."
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),
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json_schema_extra={"label": "Neutralisieren", "frontend_type": "checkbox", "frontend_readonly": False, "frontend_required": False},
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)
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ragIndexEnabled: Optional[bool] = Field(
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default=None,
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description=(
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"Three-state RAG-indexing flag with cascade-inherit semantics. "
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"None = inherit; True/False = explicit. Cascade-reset on parent toggle."
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),
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json_schema_extra={"label": "RAG-Indexierung", "frontend_type": "checkbox", "frontend_readonly": False, "frontend_required": False},
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)
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neutralizeFields: Optional[List[str]] = Field(
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default=None,
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description="Column names whose values are replaced with placeholders before AI processing",
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json_schema_extra={"label": "Zu neutralisierende Felder", "frontend_type": "multiselect", "frontend_readonly": False, "frontend_required": False},
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)
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recordFilter: Optional[Dict[str, str]] = Field(
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default=None,
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description="Record-level filter applied when querying this table, e.g. {'sessionId': 'abc-123'}",
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json_schema_extra={"label": "Datensatzfilter"},
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)
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settings: Optional[Dict[str, Any]] = Field(
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default=None,
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description=(
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"FeatureDataSource-scoped settings (JSON). Currently used keys: "
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"ragLimits.{maxBytes,maxFileSize,maxItems,maxDepth}. "
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"Mirror of DataSource.settings so the UDB settings modal can target both."
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),
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json_schema_extra={"label": "Einstellungen", "frontend_type": "json", "frontend_readonly": True, "frontend_required": False},
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)
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