在准备环境前提交次全部更改。
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283
apps/etl/connectors/feiqiu/tasks/verification/models.py
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283
apps/etl/connectors/feiqiu/tasks/verification/models.py
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# -*- coding: utf-8 -*-
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"""校验结果数据模型"""
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from dataclasses import dataclass, field
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from datetime import datetime
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from enum import Enum
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from typing import List, Optional, Dict, Any
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class VerificationStatus(Enum):
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"""校验状态"""
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OK = "OK" # 数据一致
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MISSING = "MISSING" # 有缺失数据
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MISMATCH = "MISMATCH" # 有不一致数据
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BACKFILLED = "BACKFILLED" # 已补齐
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ERROR = "ERROR" # 校验出错
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@dataclass
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class VerificationResult:
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"""单表校验结果"""
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layer: str # 数据层: "ODS" / "DWD" / "DWS" / "INDEX"
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table: str # 表名
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window_start: datetime # 校验窗口开始
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window_end: datetime # 校验窗口结束
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source_count: int = 0 # 源数据量
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target_count: int = 0 # 目标数据量
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missing_count: int = 0 # 缺失记录数
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mismatch_count: int = 0 # 不一致记录数
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backfilled_count: int = 0 # 已补齐记录数（缺失 + 不一致）
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backfilled_missing_count: int = 0 # 缺失补齐数
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backfilled_mismatch_count: int = 0 # 不一致补齐数
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status: VerificationStatus = VerificationStatus.OK
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elapsed_seconds: float = 0.0 # 耗时（秒）
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error_message: Optional[str] = None # 错误信息
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details: Dict[str, Any] = field(default_factory=dict) # 额外详情
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@property
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def is_consistent(self) -> bool:
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"""数据是否一致"""
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return self.status == VerificationStatus.OK
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@property
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def needs_backfill(self) -> bool:
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"""是否需要补齐"""
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return self.missing_count > 0 or self.mismatch_count > 0
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def to_dict(self) -> dict:
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"""转换为字典"""
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return {
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"layer": self.layer,
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"table": self.table,
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"window_start": self.window_start.isoformat() if self.window_start else None,
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"window_end": self.window_end.isoformat() if self.window_end else None,
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"source_count": self.source_count,
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"target_count": self.target_count,
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"missing_count": self.missing_count,
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"mismatch_count": self.mismatch_count,
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"backfilled_count": self.backfilled_count,
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"backfilled_missing_count": self.backfilled_missing_count,
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"backfilled_mismatch_count": self.backfilled_mismatch_count,
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"status": self.status.value,
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"elapsed_seconds": self.elapsed_seconds,
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"error_message": self.error_message,
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"details": self.details,
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}
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def format_summary(self) -> str:
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"""格式化摘要"""
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lines = [
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f"表: {self.table}",
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f"层: {self.layer}",
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f"窗口: {self.window_start.strftime('%Y-%m-%d %H:%M')} ~ {self.window_end.strftime('%Y-%m-%d %H:%M')}",
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f"源数据量: {self.source_count:,}",
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f"目标数据量: {self.target_count:,}",
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f"缺失: {self.missing_count:,}",
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f"不一致: {self.mismatch_count:,}",
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f"缺失补齐: {self.backfilled_missing_count:,}",
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f"不一致补齐: {self.backfilled_mismatch_count:,}",
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f"已补齐: {self.backfilled_count:,}",
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f"状态: {self.status.value}",
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f"耗时: {self.elapsed_seconds:.2f}s",
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]
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if self.error_message:
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lines.append(f"错误: {self.error_message}")
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return "\n".join(lines)
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@dataclass
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class VerificationSummary:
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"""校验汇总结果"""
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layer: str # 数据层
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window_start: datetime # 校验窗口开始
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window_end: datetime # 校验窗口结束
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total_tables: int = 0 # 总表数
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consistent_tables: int = 0 # 一致的表数
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inconsistent_tables: int = 0 # 不一致的表数
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total_source_count: int = 0 # 总源数据量
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total_target_count: int = 0 # 总目标数据量
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total_missing: int = 0 # 总缺失数
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total_mismatch: int = 0 # 总不一致数
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total_backfilled: int = 0 # 总补齐数
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total_backfilled_missing: int = 0 # 总缺失补齐数
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total_backfilled_mismatch: int = 0 # 总不一致补齐数
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error_tables: int = 0 # 发生错误的表数
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elapsed_seconds: float = 0.0 # 总耗时
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results: List[VerificationResult] = field(default_factory=list) # 各表结果
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status: VerificationStatus = VerificationStatus.OK
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def add_result(self, result: VerificationResult):
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"""添加单表结果"""
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self.results.append(result)
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self.total_tables += 1
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self.total_source_count += result.source_count
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self.total_target_count += result.target_count
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self.total_missing += result.missing_count
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self.total_mismatch += result.mismatch_count
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self.total_backfilled += result.backfilled_count
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self.total_backfilled_missing += result.backfilled_missing_count
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self.total_backfilled_mismatch += result.backfilled_mismatch_count
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self.elapsed_seconds += result.elapsed_seconds
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if result.status == VerificationStatus.ERROR:
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self.error_tables += 1
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self.inconsistent_tables += 1
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# 错误优先级最高，直接覆盖汇总状态
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self.status = VerificationStatus.ERROR
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elif result.is_consistent:
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self.consistent_tables += 1
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else:
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self.inconsistent_tables += 1
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if self.status == VerificationStatus.OK:
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self.status = result.status
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@property
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def is_all_consistent(self) -> bool:
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"""是否全部一致"""
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return self.inconsistent_tables == 0
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def to_dict(self) -> dict:
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"""转换为字典"""
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return {
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"layer": self.layer,
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"window_start": self.window_start.isoformat() if self.window_start else None,
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"window_end": self.window_end.isoformat() if self.window_end else None,
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"total_tables": self.total_tables,
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"consistent_tables": self.consistent_tables,
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"inconsistent_tables": self.inconsistent_tables,
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"total_source_count": self.total_source_count,
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"total_target_count": self.total_target_count,
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"total_missing": self.total_missing,
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"total_mismatch": self.total_mismatch,
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"total_backfilled": self.total_backfilled,
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"total_backfilled_missing": self.total_backfilled_missing,
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"total_backfilled_mismatch": self.total_backfilled_mismatch,
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"error_tables": self.error_tables,
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"elapsed_seconds": self.elapsed_seconds,
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"status": self.status.value,
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"results": [r.to_dict() for r in self.results],
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}
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def format_summary(self) -> str:
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"""格式化汇总摘要"""
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lines = [
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f"{'=' * 60}",
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f"校验汇总 - {self.layer}",
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f"{'=' * 60}",
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f"窗口: {self.window_start.strftime('%Y-%m-%d %H:%M')} ~ {self.window_end.strftime('%Y-%m-%d %H:%M')}",
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f"表数: {self.total_tables} (一致: {self.consistent_tables}, 不一致: {self.inconsistent_tables})",
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f"源数据量: {self.total_source_count:,}",
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f"目标数据量: {self.total_target_count:,}",
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f"总缺失: {self.total_missing:,}",
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f"总不一致: {self.total_mismatch:,}",
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f"总补齐: {self.total_backfilled:,} (缺失: {self.total_backfilled_missing:,}, 不一致: {self.total_backfilled_mismatch:,})",
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f"错误表数: {self.error_tables}",
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f"总耗时: {self.elapsed_seconds:.2f}s",
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f"状态: {self.status.value}",
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f"{'=' * 60}",
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]
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return "\n".join(lines)
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@dataclass
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class WindowSegment:
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"""时间窗口片段"""
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start: datetime
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end: datetime
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index: int = 0
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total: int = 1
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@property
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def label(self) -> str:
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"""片段标签"""
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return f"{self.start.strftime('%Y-%m-%d')} ~ {self.end.strftime('%Y-%m-%d')}"
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def build_window_segments(
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window_start: datetime,
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window_end: datetime,
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split_unit: str = "month",
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) -> List[WindowSegment]:
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"""
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按指定单位切分时间窗口
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Args:
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window_start: 开始时间
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window_end: 结束时间
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split_unit: 切分单位 ("none", "day", "week", "month")
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Returns:
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时间窗口片段列表
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"""
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if split_unit == "none" or not split_unit:
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return [WindowSegment(start=window_start, end=window_end, index=0, total=1)]
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segments = []
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current = window_start
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while current < window_end:
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if split_unit == "day":
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# 按天切分
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next_boundary = current.replace(hour=0, minute=0, second=0, microsecond=0)
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next_boundary = next_boundary + timedelta(days=1)
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elif split_unit == "week":
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# 按周切分（周一为起点）
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days_until_monday = (7 - current.weekday()) % 7
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if days_until_monday == 0:
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days_until_monday = 7
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next_boundary = current.replace(hour=0, minute=0, second=0, microsecond=0)
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next_boundary = next_boundary + timedelta(days=days_until_monday)
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elif split_unit == "month":
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# 按月切分
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if current.month == 12:
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next_boundary = current.replace(year=current.year + 1, month=1, day=1,
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hour=0, minute=0, second=0, microsecond=0)
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else:
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next_boundary = current.replace(month=current.month + 1, day=1,
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hour=0, minute=0, second=0, microsecond=0)
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else:
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# 默认不切分
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next_boundary = window_end
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segment_end = min(next_boundary, window_end)
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segments.append(WindowSegment(start=current, end=segment_end))
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current = segment_end
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# 更新索引
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total = len(segments)
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for i, seg in enumerate(segments):
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seg.index = i
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seg.total = total
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return segments
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def filter_verify_tables(layer: str, tables: list[str] | None) -> list[str] | None:
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"""按层过滤校验表名，避免非目标层全量校验。
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Args:
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layer: 数据层名称（"ODS" / "DWD" / "DWS" / "INDEX"）
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tables: 待过滤的表名列表，为 None 或空时直接返回 None
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Returns:
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过滤后的表名列表，或 None
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"""
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if not tables:
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return None
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layer_upper = layer.upper()
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normalized = [t.strip().lower() for t in tables if t and t.strip()]
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if layer_upper == "DWD":
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return [t for t in normalized if t.startswith(("dwd_", "dim_", "fact_"))]
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if layer_upper == "DWS":
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return [t for t in normalized if t.startswith("dws_")]
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if layer_upper == "INDEX":
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return [t for t in normalized if t.startswith("v_") or t.endswith("_index")]
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if layer_upper == "ODS":
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return [t for t in normalized if t.startswith("ods_")]
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return normalized
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# 需要导入 timedelta
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from datetime import timedelta
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