Files
TJWaterServerBinary/app/services/scheme_management.py
T
jiang 9b095c7439 refactor(db)!: clean up business SQL access
- make realtime replacement and analysis result writes transactional\n- consolidate SCADA repositories and remove process-global project state\n- validate SCADA batches and use indexed GIS-backed business queries\n\nBREAKING CHANGE: remove the public analysis result writer and the pipeline-health network_name query parameter.
2026-08-28 11:37:36 +08:00

117 lines
3.1 KiB
Python

from datetime import datetime
from typing import Any
from uuid import UUID, uuid4
from app.infra.db.postgresql.analysis import AnalysisRepository
from app.native.wndb.core.connection import project_connection, project_transaction
from app.services.time_api import parse_utc_time
def store_scheme_info(
name: str,
scheme_name: str,
scheme_type: str,
username: str,
scheme_start_time: datetime | str,
scheme_detail: dict[str, Any],
) -> UUID:
"""Create one completed analysis run; its name remains a display label."""
return create_analysis_run(
name=name,
scheme_name=scheme_name,
scheme_type=scheme_type,
username=username,
scheme_start_time=scheme_start_time,
scheme_detail=scheme_detail,
status="completed",
)
def create_analysis_run(
name: str,
scheme_name: str,
scheme_type: str,
username: str,
scheme_start_time: datetime | str,
scheme_detail: dict[str, Any],
*,
status: str = "running",
) -> UUID:
started_at = parse_utc_time(scheme_start_time, field_name="scheme_start_time")
run_id = uuid4()
with project_connection(name) as conn:
AnalysisRepository.create_run_sync(
conn,
run_id=run_id,
name=scheme_name,
run_type=scheme_type,
created_by=username,
started_at=started_at,
status=status,
parameters=scheme_detail,
)
return run_id
def store_analysis_run_with_result(
*,
name: str,
scheme_name: str,
scheme_type: str,
username: str,
scheme_start_time: datetime | str,
scheme_detail: dict[str, Any],
result_type: str,
result_payload: dict[str, Any],
) -> UUID:
"""Atomically persist one BizDB run and its non-timeseries result."""
started_at = parse_utc_time(scheme_start_time, field_name="scheme_start_time")
run_id = uuid4()
with project_transaction(name) as conn:
AnalysisRepository.create_run_sync(
conn,
run_id=run_id,
name=scheme_name,
run_type=scheme_type,
created_by=username,
started_at=started_at,
status="completed",
parameters=scheme_detail,
)
AnalysisRepository.insert_result_sync(
conn,
run_id,
result_type=result_type,
payload=result_payload,
)
return run_id
def update_analysis_run(
name: str,
run_id: UUID,
*,
status: str,
username: str,
scheme_detail: dict[str, Any],
) -> None:
with project_connection(name) as conn:
AnalysisRepository.update_run_sync(
conn,
run_id,
status=status,
created_by=username,
parameters=scheme_detail,
)
def get_analysis_run(name: str, run_id: UUID) -> dict[str, Any]:
with project_connection(name) as conn:
row = AnalysisRepository.get_run_sync(conn, run_id)
if row is None:
return {}
parameters = row.get("parameters")
return dict(row) | {
"parameters": parameters if isinstance(parameters, dict) else {}
}