This commit is contained in:
Neo
2026-01-27 22:47:05 +08:00
parent a6ad343092
commit f5f9a7eb66
476 changed files with 381543 additions and 5819 deletions

View File

@@ -1,7 +1,17 @@
# -*- coding: utf-8 -*-
"""ETL 调度:支持在线抓取、离线清洗入库、全流程三种模式。"""
"""ETL 调度:支持在线抓取、离线清洗入库、全流程三种模式。
说明:
为了便于排障与审计,调度器默认会在每次运行时将日志写入文件:
`io.log_root/<run_uuid>.log`。
- 该文件路径会同步写入 `etl_admin.etl_run.log_path` 字段(由 RunTracker 记录)。
- 文件日志通过给 root logger 动态挂载 FileHandler 实现,保证即便子模块使用
`logging.getLogger(__name__)` 也能写入同一份日志文件。
"""
from __future__ import annotations
import logging
import uuid
from datetime import datetime
from pathlib import Path
@@ -50,6 +60,40 @@ class ETLScheduler:
self.run_tracker = RunTracker(self.db_conn)
self.task_registry = default_registry
def _attach_run_file_logger(self, run_uuid: str) -> logging.Handler | None:
"""
为本次 run_uuid 动态挂载文件日志处理器。
返回值:
- 成功:返回 FileHandler调用方负责 removeHandler/close
- 失败:返回 None不中断主流程
"""
log_root = Path(self.config["io"]["log_root"])
try:
log_root.mkdir(parents=True, exist_ok=True)
except Exception as exc: # noqa: BLE001
self.logger.warning("创建日志目录失败:%s%s", log_root, exc)
return None
log_path = log_root / f"{run_uuid}.log"
try:
handler: logging.Handler = logging.FileHandler(log_path, encoding="utf-8")
except Exception as exc: # noqa: BLE001
self.logger.warning("创建文件日志失败:%s%s", log_path, exc)
return None
fmt = logging.Formatter(
fmt="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
)
handler.setFormatter(fmt)
handler.setLevel(logging.INFO)
# 挂到 root logger保证各模块 logger 都能写入同一文件。
root_logger = logging.getLogger()
root_logger.addHandler(handler)
return handler
# ------------------------------------------------------------------ public
def run_tasks(self, task_codes: list | None = None):
"""按配置或传入列表执行任务。"""
@@ -59,20 +103,39 @@ class ETLScheduler:
if not task_codes:
task_codes = self.config.get("run.tasks", [])
self.logger.info("开始运行任务: %s, run_uuid=%s", task_codes, run_uuid)
file_handler = self._attach_run_file_logger(run_uuid)
try:
self.logger.info("开始运行任务: %s, run_uuid=%s", task_codes, run_uuid)
for task_code in task_codes:
try:
self._run_single_task(task_code, run_uuid, store_id)
except Exception as exc: # noqa: BLE001
self.logger.error("任务 %s 失败: %s", task_code, exc, exc_info=True)
continue
for task_code in task_codes:
try:
self._run_single_task(task_code, run_uuid, store_id)
except Exception as exc: # noqa: BLE001
self.logger.error("任务 %s 失败: %s", task_code, exc, exc_info=True)
continue
self.logger.info("所有任务执行完成")
self.logger.info("所有任务执行完成")
finally:
if file_handler is not None:
try:
logging.getLogger().removeHandler(file_handler)
except Exception:
pass
try:
file_handler.close()
except Exception:
pass
# ------------------------------------------------------------------ internals
def _run_single_task(self, task_code: str, run_uuid: str, store_id: int):
"""单个任务的抓取/清洗编排。"""
task_code_upper = task_code.upper()
# 工具类任务:直接执行,不记录 cursor/run
if task_code_upper in self.NO_DB_CONFIG_TASKS:
self._run_utility_task(task_code_upper, store_id)
return
task_cfg = self._load_task_config(task_code, store_id)
if not task_cfg:
self.logger.warning("任务 %s 未启用或不存在", task_code)
@@ -98,6 +161,38 @@ class ETLScheduler:
fetch_stats = None
try:
# ODS_* tasks (except ODS_JSON_ARCHIVE) don't implement extract/transform/load stages in this repo
# version, so we execute them as a single step with the appropriate API client.
if self._is_ods_task(task_code):
if self.pipeline_flow in {"FULL", "FETCH_ONLY"}:
result, _ = self._execute_ods_record_and_load(task_code, cursor_data, fetch_dir, run_id)
else:
source_dir = self._resolve_ingest_source(fetch_dir, None)
result = self._execute_ingest(task_code, cursor_data, source_dir)
self.run_tracker.update_run(
run_id=run_id,
counts=result.get("counts") or {},
status=self._map_run_status(result.get("status")),
ended_at=datetime.now(self.tz),
window=result.get("window"),
request_params=result.get("request_params"),
overlap_seconds=self.config.get("run.overlap_seconds"),
)
if (result.get("status") or "").upper() == "SUCCESS":
window = result.get("window")
if isinstance(window, dict):
self.cursor_mgr.advance(
task_id=task_id,
store_id=store_id,
window_start=window.get("start"),
window_end=window.get("end"),
run_id=run_id,
)
self._maybe_run_integrity_check(task_code, window)
return
if self._flow_includes_fetch():
fetch_stats = self._execute_fetch(task_code, cursor_data, fetch_dir, run_id)
if self.pipeline_flow == "FETCH_ONLY":
@@ -119,6 +214,9 @@ class ETLScheduler:
counts=result["counts"],
status=self._map_run_status(result["status"]),
ended_at=datetime.now(self.tz),
window=result.get("window"),
request_params=result.get("request_params"),
overlap_seconds=self.config.get("run.overlap_seconds"),
)
if (result.get("status") or "").upper() == "SUCCESS":
@@ -131,6 +229,7 @@ class ETLScheduler:
window_end=window.get("end"),
run_id=run_id,
)
self._maybe_run_integrity_check(task_code, window)
except Exception as exc: # noqa: BLE001
self.run_tracker.update_run(
@@ -158,7 +257,10 @@ class ETLScheduler:
extracted = task.extract(context)
# 抓取结束,不执行 transform/load
stats = recording_client.last_dump or {}
fetched_count = stats.get("records") or len(extracted.get("records", [])) if isinstance(extracted, dict) else 0
extracted_count = 0
if isinstance(extracted, dict):
extracted_count = int(extracted.get("fetched") or 0) or len(extracted.get("records", []))
fetched_count = stats.get("records") or extracted_count or 0
self.logger.info(
"%s: 抓取完成,文件=%s,记录数=%s",
task_code,
@@ -167,6 +269,34 @@ class ETLScheduler:
)
return {"file": stats.get("file"), "records": fetched_count, "pages": stats.get("pages")}
@staticmethod
def _is_ods_task(task_code: str) -> bool:
tc = str(task_code or "").upper()
return tc.startswith("ODS_") and tc != "ODS_JSON_ARCHIVE"
def _execute_ods_record_and_load(
self,
task_code: str,
cursor_data: dict | None,
fetch_dir: Path,
run_id: int,
) -> tuple[dict, dict]:
"""
Execute an ODS task with RecordingAPIClient so it fetches online and writes JSON dumps.
(ODS tasks in this repo perform DB upsert inside execute(); there is no staged extract/load.)
"""
recording_client = RecordingAPIClient(
base_client=self.api_client,
output_dir=fetch_dir,
task_code=task_code,
run_id=run_id,
write_pretty=self.write_pretty_json,
)
task = self.task_registry.create_task(task_code, self.config, self.db_ops, recording_client, self.logger)
self.logger.info("%s: ODS fetch+load start, dir=%s", task_code, fetch_dir)
result = task.execute(cursor_data)
return result, (recording_client.last_dump or {})
def _execute_ingest(self, task_code: str, cursor_data: dict | None, source_dir: Path):
"""本地清洗入库:使用 LocalJsonClient 回放 JSON走原有任务 ETL。"""
local_client = LocalJsonClient(source_dir)
@@ -201,6 +331,53 @@ class ETLScheduler:
def _flow_includes_ingest(self) -> bool:
return self.pipeline_flow in {"INGEST_ONLY", "FULL"}
# 不需要数据库配置即可运行的任务(工具类/初始化类)
NO_DB_CONFIG_TASKS = {
# Schema 初始化任务
"INIT_ODS_SCHEMA",
"INIT_DWD_SCHEMA",
"INIT_DWS_SCHEMA",
# 质量检查任务
"DATA_INTEGRITY_CHECK",
"DWD_QUALITY_CHECK",
# 工具任务
"CHECK_CUTOFF",
"MANUAL_INGEST",
"ODS_JSON_ARCHIVE",
# DWS 汇总任务
"DWS_BUILD_ORDER_SUMMARY",
}
def _run_utility_task(self, task_code: str, store_id: int):
"""
执行工具类任务(不记录 cursor/run直接执行
这些任务不需要游标管理和运行跟踪。
"""
self.logger.info("%s: 开始执行工具类任务", task_code)
try:
# 创建任务实例(不需要 API client使用 None
task = self.task_registry.create_task(
task_code, self.config, self.db_ops, None, self.logger
)
# 执行任务(工具类任务通常不需要 cursor_data
result = task.execute(None)
status = (result.get("status") or "").upper() if isinstance(result, dict) else "SUCCESS"
if status == "SUCCESS":
self.logger.info("%s: 工具类任务执行成功", task_code)
if isinstance(result, dict):
counts = result.get("counts", {})
if counts:
self.logger.info("%s: 结果统计: %s", task_code, counts)
else:
self.logger.warning("%s: 工具类任务执行结果: %s", task_code, status)
except Exception as exc:
self.logger.error("%s: 工具类任务执行失败: %s", task_code, exc, exc_info=True)
raise
def _load_task_config(self, task_code: str, store_id: int) -> dict | None:
"""从数据库加载任务配置。"""
sql = """
@@ -213,6 +390,45 @@ class ETLScheduler:
rows = self.db_conn.query(sql, (store_id, task_code))
return rows[0] if rows else None
def _maybe_run_integrity_check(self, task_code: str, window: dict | None) -> None:
if not self.config.get("integrity.auto_check", False):
return
if str(task_code or "").upper() != "DWD_LOAD_FROM_ODS":
return
if not isinstance(window, dict):
return
window_start = window.get("start")
window_end = window.get("end")
if not window_start or not window_end:
return
try:
from quality.integrity_checker import IntegrityWindow, run_integrity_window
include_dimensions = bool(self.config.get("integrity.include_dimensions", False))
task_codes = str(self.config.get("integrity.ods_task_codes", "") or "").strip()
report = run_integrity_window(
cfg=self.config,
window=IntegrityWindow(
start=window_start,
end=window_end,
label="etl_window",
granularity="window",
),
include_dimensions=include_dimensions,
task_codes=task_codes,
logger=self.logger,
write_report=True,
)
self.logger.info(
"Integrity check done: report=%s missing=%s errors=%s",
report.get("report_path"),
report.get("api_to_ods", {}).get("total_missing"),
report.get("api_to_ods", {}).get("total_errors"),
)
except Exception as exc: # noqa: BLE001
self.logger.warning("Integrity check failed: %s", exc, exc_info=True)
def close(self):
"""关闭连接。"""
self.db_conn.close()