feat(tarot-lab): config + Pydantic 모델 5개 추출

tarot-lab/app/config.py

@@ -0,0 +1,16 @@
+"""tarot-lab 환경변수."""
+import os
+
+ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY", "")
+TAROT_MODEL = os.getenv("TAROT_MODEL", "claude-sonnet-4-6")
+TAROT_COST_INPUT_PER_M = float(os.getenv("TAROT_COST_INPUT_PER_M", "3.0"))
+TAROT_COST_OUTPUT_PER_M = float(os.getenv("TAROT_COST_OUTPUT_PER_M", "15.0"))
+TAROT_TIMEOUT_SEC = int(os.getenv("TAROT_TIMEOUT_SEC", "180"))
+
+TAROT_DATA_PATH = os.getenv("TAROT_DATA_PATH", "/app/data")
+DB_PATH = os.path.join(TAROT_DATA_PATH, "tarot.db")
+
+CORS_ALLOW_ORIGINS = os.getenv(
+    "CORS_ALLOW_ORIGINS",
+    "http://localhost:3007,http://localhost:8080",
+)

tarot-lab/app/models.py

@@ -0,0 +1,47 @@
+"""Tarot Pydantic 모델 — agent-office models.py에서 추출."""
+from typing import List, Literal, Optional
+
+from pydantic import BaseModel, Field
+
+
+class TarotCardDraw(BaseModel):
+    position: str
+    card_id: str
+    reversed: bool = False
+
+
+class TarotInterpretRequest(BaseModel):
+    spread_type: Literal["one_card", "three_card"]
+    category: Optional[str] = None
+    question: Optional[str] = None
+    cards: List[TarotCardDraw]
+    cards_reference: str = Field(..., min_length=1)
+    context_meta: dict = Field(default_factory=dict)
+
+
+class TarotInterpretResponse(BaseModel):
+    interpretation_json: dict
+    model: str
+    tokens_in: int
+    tokens_out: int
+    cost_usd: float
+    latency_ms: int
+    reroll_count: int = 0
+
+
+class TarotSaveRequest(BaseModel):
+    spread_type: Literal["one_card", "three_card"]
+    category: Optional[str] = None
+    question: Optional[str] = None
+    cards: List[TarotCardDraw]
+    interpretation_json: dict
+    model: str
+    tokens_in: int
+    tokens_out: int
+    cost_usd: float
+    confidence: Optional[str] = None
+
+
+class TarotPatchRequest(BaseModel):
+    favorite: Optional[bool] = None
+    note: Optional[str] = None