feat(agent-office): 큐레이터 응답 검증 스키마 + 테스트

agent-office/app/curator/schema.py

@@ -0,0 +1,41 @@
+from typing import List, Literal
+from pydantic import BaseModel, Field, field_validator
+
+
+class Pick(BaseModel):
+    numbers: List[int] = Field(min_length=6, max_length=6)
+    risk_tag: Literal["안정", "균형", "공격"]
+    reason: str = Field(max_length=80)
+
+    @field_validator("numbers")
+    @classmethod
+    def _check_numbers(cls, v):
+        if len(set(v)) != 6:
+            raise ValueError("numbers must be 6 unique integers")
+        if any(n < 1 or n > 45 for n in v):
+            raise ValueError("numbers must be within 1..45")
+        return sorted(v)
+
+
+class Narrative(BaseModel):
+    headline: str
+    summary_3lines: List[str] = Field(min_length=3, max_length=3)
+    hot_cold_comment: str = ""
+    warnings: str = ""
+
+
+class CuratorOutput(BaseModel):
+    picks: List[Pick]
+    narrative: Narrative
+    confidence: int = Field(ge=0, le=100)
+
+
+def validate_response(data: dict, candidate_numbers: List[List[int]]) -> CuratorOutput:
+    out = CuratorOutput.model_validate(data)
+    if len(out.picks) != 5:
+        raise ValueError("picks must have exactly 5 sets")
+    candidate_set = {tuple(sorted(c)) for c in candidate_numbers}
+    for p in out.picks:
+        if tuple(p.numbers) not in candidate_set:
+            raise ValueError(f"pick {p.numbers} not in candidates")
+    return out

agent-office/tests/test_curator_schema.py

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+import pytest
+from app.curator.schema import validate_response, CuratorOutput
+
+
+CANDIDATE_NUMBERS = [
+    [1, 2, 3, 4, 5, 6],
+    [7, 8, 9, 10, 11, 12],
+    [13, 14, 15, 16, 17, 18],
+    [19, 20, 21, 22, 23, 24],
+    [25, 26, 27, 28, 29, 30],
+    [31, 32, 33, 34, 35, 36],
+]
+
+
+def _valid_payload():
+    return {
+        "picks": [
+            {"numbers": s, "risk_tag": "안정", "reason": "test"}
+            for s in CANDIDATE_NUMBERS[:5]
+        ],
+        "narrative": {
+            "headline": "h", "summary_3lines": ["a", "b", "c"],
+            "hot_cold_comment": "hc", "warnings": "",
+        },
+        "confidence": 80,
+    }
+
+
+def test_valid_payload_passes():
+    result = validate_response(_valid_payload(), CANDIDATE_NUMBERS)
+    assert isinstance(result, CuratorOutput)
+    assert len(result.picks) == 5
+
+
+def test_rejects_number_out_of_candidates():
+    bad = _valid_payload()
+    bad["picks"][0]["numbers"] = [40, 41, 42, 43, 44, 45]  # valid numbers but not in candidates
+    with pytest.raises(ValueError, match="not in candidates"):
+        validate_response(bad, CANDIDATE_NUMBERS)
+
+
+def test_rejects_wrong_pick_count():
+    bad = _valid_payload()
+    bad["picks"] = bad["picks"][:3]
+    with pytest.raises(ValueError, match="exactly 5"):
+        validate_response(bad, CANDIDATE_NUMBERS)
+
+
+def test_rejects_duplicate_numbers_within_set():
+    bad = _valid_payload()
+    bad["picks"][0]["numbers"] = [1, 1, 2, 3, 4, 5]
+    with pytest.raises(ValueError):
+        validate_response(bad, CANDIDATE_NUMBERS)
+
+
+def test_rejects_invalid_risk_tag():
+    bad = _valid_payload()
+    bad["picks"][0]["risk_tag"] = "미친"
+    with pytest.raises(ValueError):
+        validate_response(bad, CANDIDATE_NUMBERS)