69 lines
2.8 KiB
Python
69 lines
2.8 KiB
Python
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"""
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Registry: Persönliche Referenzwerte (Profil) — Layer 1 reference_values, JSON-Platzhalter 2a.
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"""
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from placeholder_registry import (
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PlaceholderMetadata,
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MissingValuePolicy,
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OutputType,
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PlaceholderType,
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register_placeholder,
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)
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from ._evidence import tag_standard_evidence
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CAT = "Referenzwerte"
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MVP = lambda reason, disp: MissingValuePolicy(
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available=False, value_raw=None, missing_reason=reason, legacy_display=disp
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)
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def register_profile_reference_values():
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for key, dl_fn, desc, sem in [
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(
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"reference_values_current_json",
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"get_profile_reference_values_current_snapshot",
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"JSON: aktuelle Referenzwerte (jüngster Eintrag pro Typ, Katalog-Reihenfolge)",
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"reference_values.get_profile_reference_values_current_snapshot(profile_id)",
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),
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(
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"reference_values_recent_json",
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"get_profile_reference_values_recent_snapshot",
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"JSON: Verlauf — bis zu 5 Einträge pro Referenztyp (neueste zuerst), optional Datumsfilter in Layer-1-API",
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"reference_values.get_profile_reference_values_recent_snapshot(profile_id, limit_per_type=5)",
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),
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]:
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m = PlaceholderMetadata(
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key=key,
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category=CAT,
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description=desc,
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resolver_module="backend/placeholder_resolver.py",
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resolver_function="_safe_json",
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data_layer_module="backend/data_layer/reference_values.py",
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data_layer_function=dl_fn,
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source_tables=["profile_reference_values", "reference_value_types"],
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semantic_contract=sem,
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business_meaning="Persönliche Referenzkennwerte für KI-Kontext (Messmethode, Vertrauen, Historie)",
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unit="JSON",
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time_window="aktuell bzw. letzte N Einträge pro Typ",
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output_type=OutputType.JSON,
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placeholder_type=PlaceholderType.RAW_DATA,
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format_hint="JSON-String (schema *_v1)",
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example_output='{"count":0,"items":[]}',
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minimum_data_requirements="Keine Pflicht — leere Listen möglich",
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quality_filter_policy=None,
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confidence_logic="Rohdaten aus Erfassung (confidence-Feld pro Eintrag)",
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missing_value_policy=MVP("optional_module", "{}"),
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known_limitations="recent_json: fest 5 pro Typ im Platzhalter; Datumsfilter nur über API/Layer-1-Parameter",
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layer_1_decision="data_layer.reference_values",
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layer_2a_decision="_safe_json + compact_json_payload_for_prompts",
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layer_2b_reuse_possible=True,
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architecture_alignment="Issue 53 / Phase 0c Layer 1",
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issue_53_alignment="Strukturierte L1-Daten für Prompts",
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evidence={},
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)
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tag_standard_evidence(m)
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register_placeholder(m)
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register_profile_reference_values()
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