G0~G8 성과·동맹 측정 OS 작업 일괄 고정

8월 7일까지 워킹트리에만 남아 있던 미커밋 작업을 커밋한다. 여러 사본 폴더(worktree·clone)에 흩어져 있던 중간 스냅샷을 정리하기 전에 원본을 git 이력으로 고정하는 것이 목적이다. - contracts/routes/services: measurement, outcome_trajectory, rupture_repair, deliberate_practice, calibration_transfer, supervision_research, multimodal_alliance, continuous_improvement 계열 신규 모듈과 테스트 - infra/db/init: 07~16 마이그레이션(측정 기반~calibration transfer 실행) - apps/web: 세션 리뷰 카드·관리 화면·E2E 스펙 추가 - docs/ops: G0~G8 라이브 통합·배포·롤백 증거 문서와 evidence JSON/PNG - scripts: smoke·ledger·릴리스 에이전트·NAS 프리뷰 운영 스크립트 engine.public 로그 .bak과 apps/web/test-results 산출물은 커밋에서 제외했다.
2026-08-08 01:30:53 +09:00 · 2026-08-08 01:30:53 +09:00 · 16e791e044
commit 16e791e044
parent 93dd8f82d7
390 changed files with 243188 additions and 499 deletions
--- a/apps/api/app/test_claude_usage_backfill.py
+++ b/apps/api/app/test_claude_usage_backfill.py
@ -0,0 +1,131 @@
+from __future__ import annotations
+
+import json
+import tempfile
+import unittest
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+
+from .services.claude_usage_backfill import (
+    load_claude_usage_candidates,
+    match_claude_usage,
+)
+
+
+class ClaudeUsageBackfillTest(unittest.TestCase):
+    def test_loads_cache_inclusive_usage_without_exposing_text(self) -> None:
+        with tempfile.TemporaryDirectory() as temp_dir:
+            path = Path(temp_dir) / "session.jsonl"
+            path.write_text(
+                json.dumps(
+                    {
+                        "type": "assistant",
+                        "uuid": "assistant-1",
+                        "timestamp": "2026-07-01T00:00:00Z",
+                        "message": {
+                            "model": "claude-opus-4-8",
+                            "content": [{"type": "text", "text": "응답"}],
+                            "usage": {
+                                "input_tokens": 11,
+                                "cache_read_input_tokens": 101,
+                                "cache_creation_input_tokens": 23,
+                                "output_tokens": 7,
+                            },
+                        },
+                    },
+                    ensure_ascii=False,
+                )
+                + "\n",
+                encoding="utf-8",
+            )
+
+            candidates = load_claude_usage_candidates(Path(temp_dir))
+
+        self.assertEqual(len(candidates), 1)
+        self.assertEqual(candidates[0].tokens_in, 135)
+        self.assertEqual(candidates[0].tokens_out, 7)
+        self.assertNotIn("응답", candidates[0].source_key)
+
+    def test_matches_only_one_exact_text_and_time_candidate(self) -> None:
+        with tempfile.TemporaryDirectory() as temp_dir:
+            root = Path(temp_dir)
+            for index, seconds in enumerate((0, 400)):
+                (root / f"{index}.jsonl").write_text(
+                    json.dumps(
+                        {
+                            "type": "assistant",
+                            "uuid": f"assistant-{index}",
+                            "timestamp": (
+                                datetime(2026, 7, 1, tzinfo=timezone.utc)
+                                + timedelta(seconds=seconds)
+                            ).isoformat(),
+                            "message": {
+                                "model": "claude-opus-4-8",
+                                "content": [{"type": "text", "text": "같은 응답\r\n"}],
+                                "usage": {
+                                    "input_tokens": 10 + index,
+                                    "output_tokens": 2,
+                                },
+                            },
+                        },
+                        ensure_ascii=False,
+                    )
+                    + "\n",
+                    encoding="utf-8",
+                )
+            candidates = load_claude_usage_candidates(root)
+
+        report = match_claude_usage(
+            [
+                {
+                    "id": "turn-1",
+                    "created_at": datetime(2026, 7, 1, tzinfo=timezone.utc)
+                    + timedelta(seconds=20),
+                    "text_masked": "같은 응답",
+                }
+            ],
+            candidates,
+        )
+        self.assertEqual(len(report.matches), 1)
+        self.assertEqual(report.matches[0].tokens_in, 10)
+        self.assertEqual(report.ambiguous_turns, 0)
+
+    def test_rejects_multiple_candidates_in_the_same_time_window(self) -> None:
+        with tempfile.TemporaryDirectory() as temp_dir:
+            root = Path(temp_dir)
+            path = root / "session.jsonl"
+            lines = []
+            for index in range(2):
+                lines.append(
+                    json.dumps(
+                        {
+                            "type": "assistant",
+                            "uuid": f"assistant-{index}",
+                            "timestamp": f"2026-07-01T00:00:0{index}Z",
+                            "message": {
+                                "content": [{"type": "text", "text": "반복"}],
+                                "usage": {"input_tokens": 10, "output_tokens": 1},
+                            },
+                        },
+                        ensure_ascii=False,
+                    )
+                )
+            path.write_text("\n".join(lines) + "\n", encoding="utf-8")
+            candidates = load_claude_usage_candidates(root)
+
+        report = match_claude_usage(
+            [
+                {
+                    "id": "turn-1",
+                    "created_at": datetime(2026, 7, 1, 0, 0, 20, tzinfo=timezone.utc),
+                    "text_masked": "반복",
+                }
+            ],
+            candidates,
+        )
+        self.assertEqual(report.matches, ())
+        self.assertEqual(report.ambiguous_turns, 1)
+
+
+if __name__ == "__main__":
+    unittest.main()