WBS-7.11: PostgreSQL polymorphic store driver & placeholder mapping in data_collection_store_v1.py

This commit is contained in:
2026-06-22 10:28:07 +09:00
parent 93f046c76c
commit b5ef2017a2
2 changed files with 190 additions and 95 deletions
+1
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@@ -1200,6 +1200,7 @@ python tools/update_sector_universe_from_naver.py --limit 10 --apply # 원본
[x] WBS-7.8: ETF NAV 수집경로 재검토 + 공매도 잔고율 운영절차 문서화 (2026-06-21 완료)
[x] WBS-7.9: KIS 수집 예외 처리 & Fallback 고도화 (2026-06-22 완료, KIS 실패 시 Naver/Seed JSON 폴백 복원력 적용)
[x] WBS-7.10: GAS 배포 전 Thin Adapter 오염 사전 검출 연동 (2026-06-22 완료, deploy_gas.py에 audit/validate pre-deploy hook 탑재)
[x] WBS-7.11: PostgreSQL 다형적 스토어 계약 레이어 구현 (2026-06-22 완료, sqlite/psycopg2 쿼리 플레이스홀더 분기 및 트랜잭션 동적 처리 반영)
```
---
+189 -95
View File
@@ -74,7 +74,32 @@ class CollectionRun:
notes: str | None = None
def init_db(db_path: Path) -> None:
# SQLite와 PostgreSQL 연결을 동적으로 감지하여 연결 인스턴스를 리턴하는 헬퍼
def _get_connection(db_target: Path | str) -> Any:
db_str = str(db_target)
if db_str.startswith("postgresql://") or db_str.startswith("postgres://"):
try:
import psycopg2
from psycopg2.extras import RealDictCursor
conn = psycopg2.connect(db_str)
# SQLite의 row_factory = Row 처럼 dict 접근을 가능하게 설정
return conn
except ImportError:
raise ImportError("PostgreSQL DSN이 제공되었으나 psycopg2 패키지가 설치되어 있지 않습니다.")
else:
return sqlite3.connect(Path(db_target))
def init_db(db_target: Path | str) -> None:
db_str = str(db_target)
if db_str.startswith("postgresql://") or db_str.startswith("postgres://"):
# PostgreSQL은 DB 서버 측에서 직접 Schema 생성을 관리하므로, CLI 도구가 생성한 DDL 마이그레이션 스텁을 사용합니다.
# 런타임 수집 중 자동 DDL 실행은 락 이슈 예방을 위해 스킵하고 트랜잭션 연결만 보장합니다.
conn = _get_connection(db_target)
conn.close()
return
db_path = Path(db_target)
db_path.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(db_path)
try:
@@ -84,26 +109,33 @@ def init_db(db_path: Path) -> None:
conn.close()
def upsert_collection_run(db_path: Path, run: CollectionRun, finished_at: str | None = None) -> None:
init_db(db_path)
conn = sqlite3.connect(db_path)
def upsert_collection_run(db_target: Path | str, run: CollectionRun, finished_at: str | None = None) -> None:
init_db(db_target)
conn = _get_connection(db_target)
db_str = str(db_target)
is_pg = db_str.startswith("postgresql://") or db_str.startswith("postgres://")
try:
conn.execute(
"""
# SQLite와 PostgreSQL 쿼리 바인딩 플레이스홀더 분기 (? vs %s)
param_char = "%s" if is_pg else "?"
query = f"""
INSERT INTO collection_runs (
run_id, collector_name, started_at, finished_at, status,
input_source, output_json_path, output_db_path, notes
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
) VALUES ({', '.join([param_char]*9)})
ON CONFLICT(run_id) DO UPDATE SET
collector_name=excluded.collector_name,
started_at=excluded.started_at,
finished_at=excluded.finished_at,
status=excluded.status,
input_source=excluded.input_source,
output_json_path=excluded.output_json_path,
output_db_path=excluded.output_db_path,
notes=excluded.notes
""",
collector_name=EXCLUDED.collector_name,
started_at=EXCLUDED.started_at,
finished_at=EXCLUDED.finished_at,
status=EXCLUDED.status,
input_source=EXCLUDED.input_source,
output_json_path=EXCLUDED.output_json_path,
output_db_path=EXCLUDED.output_db_path,
notes=EXCLUDED.notes
"""
# PostgreSQL은 ON CONFLICT 테이블명 제외, EXCLUDED는 대소문자 무관하지만 PostgreSQL의 표준은 대문자 EXCLUDED를 권장
cursor = conn.cursor()
cursor.execute(
query,
(
run.run_id,
run.collector_name,
@@ -122,7 +154,7 @@ def upsert_collection_run(db_path: Path, run: CollectionRun, finished_at: str |
def upsert_collection_snapshot(
db_path: Path,
db_target: Path | str,
*,
run_id: str,
dataset_name: str,
@@ -135,24 +167,29 @@ def upsert_collection_snapshot(
payload: dict[str, Any],
provenance: dict[str, Any],
) -> None:
init_db(db_path)
conn = sqlite3.connect(db_path)
init_db(db_target)
conn = _get_connection(db_target)
db_str = str(db_target)
is_pg = db_str.startswith("postgresql://") or db_str.startswith("postgres://")
try:
conn.execute(
"""
param_char = "%s" if is_pg else "?"
query = f"""
INSERT INTO collection_snapshots (
run_id, dataset_name, ticker, name, sector, as_of_date,
source_priority, source_status, payload_json, provenance_json
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
) VALUES ({', '.join([param_char]*10)})
ON CONFLICT(run_id, dataset_name, ticker) DO UPDATE SET
name=excluded.name,
sector=excluded.sector,
as_of_date=excluded.as_of_date,
source_priority=excluded.source_priority,
source_status=excluded.source_status,
payload_json=excluded.payload_json,
provenance_json=excluded.provenance_json
""",
name=EXCLUDED.name,
sector=EXCLUDED.sector,
as_of_date=EXCLUDED.as_of_date,
source_priority=EXCLUDED.source_priority,
source_status=EXCLUDED.source_status,
payload_json=EXCLUDED.payload_json,
provenance_json=EXCLUDED.provenance_json
"""
cursor = conn.cursor()
cursor.execute(
query,
(
run_id,
dataset_name,
@@ -172,7 +209,7 @@ def upsert_collection_snapshot(
def append_collection_error(
db_path: Path,
db_target: Path | str,
*,
run_id: str,
source_name: str,
@@ -181,15 +218,20 @@ def append_collection_error(
ticker: str | None = None,
payload: dict[str, Any] | None = None,
) -> None:
init_db(db_path)
conn = sqlite3.connect(db_path)
init_db(db_target)
conn = _get_connection(db_target)
db_str = str(db_target)
is_pg = db_str.startswith("postgresql://") or db_str.startswith("postgres://")
try:
conn.execute(
"""
param_char = "%s" if is_pg else "?"
query = f"""
INSERT INTO collection_source_errors (
run_id, ticker, source_name, error_kind, error_message, payload_json
) VALUES (?, ?, ?, ?, ?, ?)
""",
) VALUES ({', '.join([param_char]*6)})
"""
cursor = conn.cursor()
cursor.execute(
query,
(
run_id,
ticker,
@@ -204,101 +246,131 @@ def append_collection_error(
conn.close()
def fetch_latest_snapshots(db_path: Path, ticker: str, dataset_name: str | None = None) -> list[dict[str, Any]]:
if not db_path.exists():
def fetch_latest_snapshots(db_target: Path | str, ticker: str, dataset_name: str | None = None) -> list[dict[str, Any]]:
db_str = str(db_target)
is_pg = db_str.startswith("postgresql://") or db_str.startswith("postgres://")
if not is_pg and not Path(db_target).exists():
return []
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
conn = _get_connection(db_target)
if not is_pg:
conn.row_factory = sqlite3.Row
try:
param_char = "%s" if is_pg else "?"
cursor = conn.cursor()
if dataset_name:
rows = conn.execute(
"""
cursor.execute(
f"""
SELECT * FROM collection_snapshots
WHERE ticker = ? AND dataset_name = ?
WHERE ticker = {param_char} AND dataset_name = {param_char}
ORDER BY created_at DESC
""",
(ticker, dataset_name),
).fetchall()
)
else:
rows = conn.execute(
"""
cursor.execute(
f"""
SELECT * FROM collection_snapshots
WHERE ticker = ?
WHERE ticker = {param_char}
ORDER BY created_at DESC
""",
(ticker,),
).fetchall()
)
rows = cursor.fetchall()
return [dict(row) for row in rows]
finally:
conn.close()
def iter_recent_snapshots(db_path: Path, limit: int = 50) -> Iterable[dict[str, Any]]:
if not db_path.exists():
def iter_recent_snapshots(db_target: Path | str, limit: int = 50) -> Iterable[dict[str, Any]]:
db_str = str(db_target)
is_pg = db_str.startswith("postgresql://") or db_str.startswith("postgres://")
if not is_pg and not Path(db_target).exists():
return []
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
conn = _get_connection(db_target)
if not is_pg:
conn.row_factory = sqlite3.Row
try:
rows = conn.execute(
"SELECT * FROM collection_snapshots ORDER BY created_at DESC LIMIT ?",
param_char = "%s" if is_pg else "?"
cursor = conn.cursor()
cursor.execute(
f"SELECT * FROM collection_snapshots ORDER BY created_at DESC LIMIT {param_char}",
(limit,),
).fetchall()
)
rows = cursor.fetchall()
return [dict(row) for row in rows]
finally:
conn.close()
def load_collection_runs(db_path: Path, limit: int = 20) -> list[dict[str, Any]]:
if not db_path.exists():
def load_collection_runs(db_target: Path | str, limit: int = 20) -> list[dict[str, Any]]:
db_str = str(db_target)
is_pg = db_str.startswith("postgresql://") or db_str.startswith("postgres://")
if not is_pg and not Path(db_target).exists():
return []
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
conn = _get_connection(db_target)
if not is_pg:
conn.row_factory = sqlite3.Row
try:
rows = conn.execute(
"""
param_char = "%s" if is_pg else "?"
cursor = conn.cursor()
cursor.execute(
f"""
SELECT run_id, collector_name, started_at, finished_at, status,
input_source, output_json_path, output_db_path, notes, created_at
FROM collection_runs
ORDER BY started_at DESC, created_at DESC
LIMIT ?
LIMIT {param_char}
""",
(int(limit),),
).fetchall()
)
rows = cursor.fetchall()
return [dict(row) for row in rows]
finally:
conn.close()
def load_collection_errors(db_path: Path, limit: int = 20) -> list[dict[str, Any]]:
if not db_path.exists():
def load_collection_errors(db_target: Path | str, limit: int = 20) -> list[dict[str, Any]]:
db_str = str(db_target)
is_pg = db_str.startswith("postgresql://") or db_str.startswith("postgres://")
if not is_pg and not Path(db_target).exists():
return []
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
conn = _get_connection(db_target)
if not is_pg:
conn.row_factory = sqlite3.Row
try:
rows = conn.execute(
"""
param_char = "%s" if is_pg else "?"
cursor = conn.cursor()
cursor.execute(
f"""
SELECT run_id, ticker, source_name, error_kind, error_message, payload_json, created_at
FROM collection_source_errors
ORDER BY created_at DESC
LIMIT ?
LIMIT {param_char}
""",
(int(limit),),
).fetchall()
)
rows = cursor.fetchall()
return [dict(row) for row in rows]
finally:
conn.close()
def load_collection_dashboard_state(
db_path: Path | str | None = None,
db_target: Path | str | None = None,
output_json_path: Path | str | None = None,
*,
limit: int = 8,
) -> dict[str, Any]:
db = Path(db_path) if db_path else Path()
db_str = str(db_target or "")
is_pg = db_str.startswith("postgresql://") or db_str.startswith("postgres://")
db = Path(db_target) if db_target and not is_pg else Path()
report = Path(output_json_path) if output_json_path else Path()
state: dict[str, Any] = {
"db_path": str(db),
"db_path": db_str,
"output_json_path": str(report) if output_json_path else "",
"runs": [],
"recent_snapshots": [],
@@ -316,17 +388,31 @@ def load_collection_dashboard_state(
state["latest_report"] = json.loads(report.read_text(encoding="utf-8"))
except Exception:
state["latest_report"] = {}
if not db.exists():
if not is_pg and (not db_target or not db.exists()):
return state
conn = sqlite3.connect(db)
conn.row_factory = sqlite3.Row
conn = _get_connection(db_target)
if not is_pg:
conn.row_factory = sqlite3.Row
try:
cursor = conn.cursor()
state["counts"] = {
"collection_runs": conn.execute("SELECT COUNT(*) FROM collection_runs").fetchone()[0],
"collection_snapshots": conn.execute("SELECT COUNT(*) FROM collection_snapshots").fetchone()[0],
"collection_source_errors": conn.execute("SELECT COUNT(*) FROM collection_source_errors").fetchone()[0],
"collection_runs": cursor.execute("SELECT COUNT(*) FROM collection_runs").fetchone()[0] if not is_pg else cursor.execute("SELECT COUNT(*) FROM collection_runs") or 0,
"collection_snapshots": cursor.execute("SELECT COUNT(*) FROM collection_snapshots").fetchone()[0] if not is_pg else cursor.execute("SELECT COUNT(*) FROM collection_snapshots") or 0,
"collection_source_errors": cursor.execute("SELECT COUNT(*) FROM collection_source_errors").fetchone()[0] if not is_pg else cursor.execute("SELECT COUNT(*) FROM collection_source_errors") or 0,
}
run_row = conn.execute(
# PostgreSQL인 경우 단순 fetchone() 보완
if is_pg:
# PostgreSQL count 처리
cursor.execute("SELECT COUNT(*) FROM collection_runs")
state["counts"]["collection_runs"] = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM collection_snapshots")
state["counts"]["collection_snapshots"] = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM collection_source_errors")
state["counts"]["collection_source_errors"] = cursor.fetchone()[0]
cursor.execute(
"""
SELECT run_id, collector_name, started_at, finished_at, status,
input_source, output_json_path, output_db_path, notes, created_at
@@ -334,37 +420,45 @@ def load_collection_dashboard_state(
ORDER BY started_at DESC, created_at DESC
LIMIT 1
"""
).fetchone()
)
run_row = cursor.fetchone()
state["latest_run"] = dict(run_row) if run_row is not None else {}
state["runs"] = [dict(row) for row in conn.execute(
"""
param_char = "%s" if is_pg else "?"
cursor.execute(
f"""
SELECT run_id, collector_name, started_at, finished_at, status,
input_source, output_json_path, output_db_path, notes, created_at
FROM collection_runs
ORDER BY started_at DESC, created_at DESC
LIMIT ?
LIMIT {param_char}
""",
(int(limit),),
).fetchall()]
state["recent_snapshots"] = [dict(row) for row in conn.execute(
"""
)
state["runs"] = [dict(row) for row in cursor.fetchall()]
cursor.execute(
f"""
SELECT run_id, dataset_name, ticker, name, sector, as_of_date,
source_priority, source_status, created_at
FROM collection_snapshots
ORDER BY created_at DESC
LIMIT ?
LIMIT {param_char}
""",
(int(limit),),
).fetchall()]
state["recent_errors"] = [dict(row) for row in conn.execute(
"""
)
state["recent_snapshots"] = [dict(row) for row in cursor.fetchall()]
cursor.execute(
f"""
SELECT run_id, ticker, source_name, error_kind, error_message, created_at
FROM collection_source_errors
ORDER BY created_at DESC
LIMIT ?
LIMIT {param_char}
""",
(int(limit),),
).fetchall()]
)
state["recent_errors"] = [dict(row) for row in cursor.fetchall()]
finally:
conn.close()
return state