nixevol
dab672621c
- 源/仓库各自可在直连(FTP/SFTP、MySQL)与 Metrix 存储/数据库平台间独立选择，两侧互不依赖 - Metrix 模式下源走平台储存 API、仓库走平台导入 + run-script(single_session)、查看导出代理到平台 - 去掉对外 API 文档与 API Token（前后端 + auth/config 解耦），业务接口仅登录态可访问 - 授权默认到期日改为 2026-12-30 - 设置页卡片改横向自适应（宽屏并排、窄屏换行），处理历史保留卡片收窄
115 lines
4.3 KiB
Python
115 lines
4.3 KiB
Python
"""Metrix 仓库模式的处理流水线：CSV 处理 → 平台导入暂存表 → run-script(single_session) 跑报表 SQL。
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仅当 warehouse_type == "metrix" 时使用；直连 MySQL 模式走原版 DataProcessor。
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"""
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from __future__ import annotations
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from pathlib import Path
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from app.config import SQL_SCRIPT, AppConfig, MetrixConfig
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from app.processor import ProcessLogger
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from app.services.csv_processor import CsvProcessor
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from app.services.platform import make_client
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RJ_DIR_TO_TABLE = {
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"2.6RJGD": "2_6GRJGD",
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"2.6RJYD": "2_6GRJYD",
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"700RJGD": "700MRJGD",
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"700RJYD": "700MRJYD",
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}
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RESULT_TABLES = ["4G_结果表", "5G_结果表"]
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def validate_metrix(metrix: MetrixConfig) -> None:
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missing = []
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if not metrix.base_url:
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missing.append("平台地址")
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if not metrix.token:
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missing.append("API Token")
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if not metrix.database_conn_id:
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missing.append("数据库连接 ID")
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if missing:
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raise RuntimeError("Metrix 连接配置不完整: " + ", ".join(missing))
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def build_processor_config(app_config: AppConfig) -> dict:
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metrix = app_config.metrix.normalized()
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rj = app_config.rj_data.normalized()
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return {
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"recent_days": metrix.recent_days,
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"sheet_filter": list(app_config.sheet_filter),
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"data_dir_to_table": dict(metrix.data_dir_to_table),
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"extract_fields": app_config.extract_fields,
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"rj": {
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"enabled": rj.enabled,
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"weekly_directories": rj.weekly_directories,
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"dir_to_table": RJ_DIR_TO_TABLE,
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"table_field_mappings": rj.table_field_mappings,
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},
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}
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def read_report_sql() -> str:
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if not SQL_SCRIPT.exists():
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return ""
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return SQL_SCRIPT.read_text(encoding="utf-8").strip()
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def run_report_sql(app_config: AppConfig, logger: ProcessLogger) -> list[dict]:
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metrix = app_config.metrix.normalized()
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validate_metrix(metrix)
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report_sql = read_report_sql()
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if not report_sql:
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raise RuntimeError("报表 SQL（ReportScript.sql）为空或不存在")
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client = make_client(metrix)
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logger.info("执行报表 SQL（single_session）...")
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result = client.run_script(
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metrix.database_conn_id,
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content=report_sql,
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database=metrix.target_database,
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single_session=True,
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run_timeout=7200,
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)
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statements = result.get("results", [])
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failed = [item for item in statements if not item.get("ok")]
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if result.get("stopped") or failed:
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for item in failed[:5]:
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logger.error(f"[SQL] 第 {item.get('index')} 条失败: {item.get('message')}")
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raise RuntimeError("报表 SQL 执行失败")
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logger.success(f"报表 SQL 执行完成，共 {len(statements)} 条语句")
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return statements
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def run_import_and_report(work_dir: Path, app_config: AppConfig, logger: ProcessLogger) -> dict:
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"""处理工作目录数据 → 平台导入暂存表 → 跑报表 SQL。失败抛 RuntimeError。"""
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metrix = app_config.metrix.normalized()
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validate_metrix(metrix)
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logger.set_stage("converting")
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tables = CsvProcessor(work_dir, build_processor_config(app_config), logger.info).process()
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if not tables:
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raise RuntimeError("处理后没有产出任何暂存表数据")
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client = make_client(metrix)
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conn_id = metrix.database_conn_id
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target_db = metrix.target_database
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# 导入前 DROP 旧暂存表，让自动建表按当周实际列重建。
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logger.set_stage("importing")
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drop_sql = "".join(f"DROP TABLE IF EXISTS `{table}`;\n" for table in tables)
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drop_result = client.run_script(conn_id, content=drop_sql, database=target_db, run_timeout=600)
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if drop_result.get("stopped"):
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raise RuntimeError("清理旧暂存表失败")
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for table, csv_path in tables.items():
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logger.info(f"导入暂存表 {table} ...")
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job_id = client.import_csv(conn_id, table, csv_path, mode="overwrite", database=target_db, create_table=True)
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job = client.wait_job(job_id)
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if job.get("status") != "success":
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raise RuntimeError(f"暂存表 {table} 导入失败: {job.get('error_code') or job.get('status')}")
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logger.success(f"暂存表 {table} 导入完成")
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logger.set_stage("scripting")
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statements = run_report_sql(app_config, logger)
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return {"tables": list(tables.keys()), "statements": len(statements)}
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