페르소나 소스팩 동기화 정리
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Yun Chan
parent
6a81ec596c
commit
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10 changed files with 1126 additions and 283 deletions
222
apps/api/app/persona_read_model.py
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apps/api/app/persona_read_model.py
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"""Browser-facing persona DTOs and deterministic mappers."""
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from __future__ import annotations
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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from .persona_repository import CatalogPersona, PersonaDraftRecord, PersonaReviewAction, PersonaReviewItem
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from .services.persona import PersonaCard
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JSON_OBJECT_FIELD = {"additionalProperties": True}
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PersonaSourceKind = Literal["client_record", "textbook_guide", "mixed_notes"]
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class PersonaSummary(BaseModel):
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persona_id: str | None = None
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code: str
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version: int | None = None
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status: Literal["approved"] = "approved"
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display_name: str
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difficulty: str
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theory_target: list[str]
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demographics: dict[str, Any]
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presenting_summary: str
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voice_preset: str | None = None
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source: str = "database"
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degraded: bool = False
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class PersonaReviewSummary(BaseModel):
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persona_id: str
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code: str
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version: int
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status: Literal["draft", "review", "approved", "archived"]
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display_name: str
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difficulty: str
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theory_target: list[str]
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source_provenance: str
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is_synthetic: bool
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created_at: str | None = None
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approved_at: str | None = None
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class PersonaReviewDecisionRequest(BaseModel):
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action: PersonaReviewAction
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class PersonaRevisionRequest(BaseModel):
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submit_for_review: bool = False
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class PersonaDraftPayload(BaseModel):
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code: str = Field(min_length=1, max_length=24)
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display_name: str = Field(min_length=1, max_length=80)
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difficulty: Literal["easy", "moderate", "hard"]
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theory_target: list[str] = Field(default_factory=list)
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demographics: dict[str, Any] = Field(default_factory=dict, json_schema_extra=JSON_OBJECT_FIELD)
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presenting: dict[str, Any] = Field(default_factory=dict, json_schema_extra=JSON_OBJECT_FIELD)
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history: dict[str, Any] = Field(default_factory=dict, json_schema_extra=JSON_OBJECT_FIELD)
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big5: dict[str, float] = Field(default_factory=dict)
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resistance: dict[str, float] = Field(default_factory=dict)
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speech_style: dict[str, Any] = Field(default_factory=dict, json_schema_extra=JSON_OBJECT_FIELD)
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affect_baseline: dict[str, float] = Field(default_factory=dict)
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ccd: dict[str, Any] = Field(default_factory=dict, json_schema_extra=JSON_OBJECT_FIELD)
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dsm5_dimensional: dict[str, Any] = Field(default_factory=dict, json_schema_extra=JSON_OBJECT_FIELD)
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triggers: dict[str, Any] = Field(default_factory=dict, json_schema_extra=JSON_OBJECT_FIELD)
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source_provenance: str = Field(default="", max_length=240)
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is_synthetic: bool = True
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submit_for_review: bool = False
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class PersonaSourceDocumentRequest(BaseModel):
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filename: str = Field(min_length=1, max_length=240)
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source_kind: PersonaSourceKind = "mixed_notes"
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text: str = Field(min_length=20, max_length=120000)
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title: str | None = Field(default=None, max_length=160)
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source_note: str = Field(default="", max_length=800)
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class PersonaSourceDocumentResponse(BaseModel):
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source_id: str
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doc_id: int | None
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doc_uri: str
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title: str
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source_kind: PersonaSourceKind
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kb_kind: str
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license_class: Literal["A", "B", "C", "D"] = "B"
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external_llm_ok: bool = True
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content_hash: str
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chunk_count: int
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chunks_indexed: int
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embedded: bool
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degraded: bool = False
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pii_entities_masked: list[str] = Field(default_factory=list)
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class PersonaGenerationEvidence(BaseModel):
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chunk_id: int
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source_id: str
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score: float
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kb_kind: str
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heading_path: str | None = None
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excerpt: str
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class PersonaDraftGenerateRequest(BaseModel):
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source_text: str | None = Field(default=None, min_length=20, max_length=30000)
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source_ids: list[str] = Field(default_factory=list, max_length=12)
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source_kind: PersonaSourceKind = "mixed_notes"
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code_hint: str | None = Field(default=None, max_length=24)
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display_name_hint: str | None = Field(default=None, max_length=80)
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difficulty: Literal["easy", "moderate", "hard"] = "moderate"
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theory_target: list[str] = Field(default_factory=lambda: ["humanistic"])
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generation_goal: str = Field(default="", max_length=800)
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class PersonaDraftGenerateResponse(BaseModel):
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draft: PersonaDraftPayload
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source_summary: str = ""
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warnings: list[str] = Field(default_factory=list)
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pii_entities_masked: list[str] = Field(default_factory=list)
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source_references: list[PersonaSourceDocumentResponse] = Field(default_factory=list)
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evidence_chunks: list[PersonaGenerationEvidence] = Field(default_factory=list)
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class PersonaDraftDetail(PersonaReviewSummary):
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demographics: dict[str, Any] = Field(json_schema_extra=JSON_OBJECT_FIELD)
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presenting: dict[str, Any] = Field(json_schema_extra=JSON_OBJECT_FIELD)
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history: dict[str, Any] = Field(json_schema_extra=JSON_OBJECT_FIELD)
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big5: dict[str, float]
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resistance: dict[str, float]
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speech_style: dict[str, Any] = Field(json_schema_extra=JSON_OBJECT_FIELD)
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affect_baseline: dict[str, float]
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ccd: dict[str, Any] = Field(json_schema_extra=JSON_OBJECT_FIELD)
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dsm5_dimensional: dict[str, Any] = Field(json_schema_extra=JSON_OBJECT_FIELD)
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triggers: dict[str, Any] = Field(json_schema_extra=JSON_OBJECT_FIELD)
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def _first_text_value(data: dict[str, Any]) -> str:
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for value in data.values():
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if isinstance(value, str) and value.strip():
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return value.strip()
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return ""
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def persona_summary(entry: CatalogPersona) -> PersonaSummary:
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card = entry.card
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return PersonaSummary(
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persona_id=entry.persona_id,
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code=card.code,
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version=entry.version,
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status="approved",
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display_name=card.display_name,
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difficulty=card.difficulty,
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theory_target=card.theory_target,
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demographics=card.demographics,
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presenting_summary=_first_text_value(card.presenting),
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source=entry.source,
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degraded=entry.degraded,
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)
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def persona_review_summary(entry: PersonaReviewItem) -> PersonaReviewSummary:
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return PersonaReviewSummary(
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persona_id=entry.persona_id,
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code=entry.code,
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version=entry.version,
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status=entry.status,
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display_name=entry.display_name,
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difficulty=entry.difficulty,
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theory_target=entry.theory_target,
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source_provenance=entry.source_provenance,
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is_synthetic=entry.is_synthetic,
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created_at=entry.created_at,
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approved_at=entry.approved_at,
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)
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def persona_draft_detail(entry: PersonaDraftRecord) -> PersonaDraftDetail:
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card = entry.card
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return PersonaDraftDetail(
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**persona_review_summary(entry.review).model_dump(),
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demographics=card.demographics,
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presenting=card.presenting,
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history=card.history,
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big5=card.big5,
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resistance=card.resistance,
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speech_style=card.speech_style,
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affect_baseline=card.affect_baseline,
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ccd=card.ccd,
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dsm5_dimensional=card.dsm5_dimensional,
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triggers=card.triggers,
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)
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def persona_card_from_draft_payload(request: PersonaDraftPayload) -> PersonaCard:
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code = request.code.strip().upper()
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display_name = request.display_name.strip()
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if not code:
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raise ValueError("persona code is required")
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if not display_name:
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raise ValueError("display_name is required")
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theory_target = [value.strip().lower() for value in request.theory_target if value.strip()]
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return PersonaCard(
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code=code,
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display_name=display_name,
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difficulty=request.difficulty,
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theory_target=theory_target,
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demographics=request.demographics,
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presenting=request.presenting,
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history=request.history,
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big5=request.big5,
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resistance=request.resistance,
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speech_style=request.speech_style,
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affect_baseline=request.affect_baseline,
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ccd=request.ccd,
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dsm5_dimensional=request.dsm5_dimensional,
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triggers=request.triggers,
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source_provenance=request.source_provenance.strip(),
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is_synthetic=request.is_synthetic,
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)
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