755 lines
27 KiB
Python
755 lines
27 KiB
Python
from flask import Flask, render_template, request, jsonify
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from cassandra.cluster import Cluster
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from cassandra.auth import PlainTextAuthProvider
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import json
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import os
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import logging
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import sqlite3
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from datetime import datetime
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app = Flask(__name__)
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# 配置日志
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# 数据库配置
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DATABASE_PATH = 'config_groups.db'
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def init_database():
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"""初始化数据库"""
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try:
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conn = sqlite3.connect(DATABASE_PATH)
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cursor = conn.cursor()
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# 创建配置组表
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cursor.execute('''
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CREATE TABLE IF NOT EXISTS config_groups (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT NOT NULL UNIQUE,
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description TEXT,
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pro_config TEXT NOT NULL,
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test_config TEXT NOT NULL,
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query_config TEXT NOT NULL,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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)
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''')
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conn.commit()
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conn.close()
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logger.info("数据库初始化完成")
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return True
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except Exception as e:
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logger.error(f"数据库初始化失败: {e}")
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return False
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def ensure_database():
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"""确保数据库和表存在"""
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if not os.path.exists(DATABASE_PATH):
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logger.info("数据库文件不存在，正在创建...")
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return init_database()
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# 检查表是否存在
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try:
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conn = sqlite3.connect(DATABASE_PATH)
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cursor = conn.cursor()
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cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='config_groups'")
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result = cursor.fetchone()
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conn.close()
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if not result:
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logger.info("config_groups表不存在，正在创建...")
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return init_database()
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return True
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except Exception as e:
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logger.error(f"检查数据库表失败: {e}")
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return init_database()
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def get_db_connection():
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"""获取数据库连接"""
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conn = sqlite3.connect(DATABASE_PATH)
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conn.row_factory = sqlite3.Row
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return conn
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def normalize_json_string(value):
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"""标准化JSON字符串，用于比较"""
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if not isinstance(value, str):
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return value
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try:
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# 尝试解析JSON
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json_obj = json.loads(value)
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# 如果是数组，需要进行特殊处理
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if isinstance(json_obj, list):
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# 尝试对数组元素进行标准化排序
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normalized_array = normalize_json_array(json_obj)
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return json.dumps(normalized_array, sort_keys=True, separators=(',', ':'))
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else:
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# 普通对象，直接序列化
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return json.dumps(json_obj, sort_keys=True, separators=(',', ':'))
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except (json.JSONDecodeError, TypeError):
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# 如果不是JSON，返回原值
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return value
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def normalize_json_array(json_array):
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"""标准化JSON数组，处理元素顺序问题"""
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try:
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normalized_elements = []
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for element in json_array:
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if isinstance(element, dict):
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# 对字典元素进行标准化
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normalized_elements.append(json.dumps(element, sort_keys=True, separators=(',', ':')))
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elif isinstance(element, str):
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# 如果是字符串，尝试解析为JSON
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try:
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parsed_element = json.loads(element)
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normalized_elements.append(json.dumps(parsed_element, sort_keys=True, separators=(',', ':')))
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except:
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normalized_elements.append(element)
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else:
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normalized_elements.append(element)
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# 对标准化后的元素进行排序，确保顺序一致
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normalized_elements.sort()
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# 重新解析为对象数组
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result_array = []
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for element in normalized_elements:
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if isinstance(element, str):
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try:
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result_array.append(json.loads(element))
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except:
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result_array.append(element)
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else:
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result_array.append(element)
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return result_array
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except Exception as e:
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logger.warning(f"数组标准化失败: {e}")
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return json_array
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def is_json_array_field(value):
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"""检查字段是否为JSON数组格式"""
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if not isinstance(value, (str, list)):
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return False
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try:
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if isinstance(value, str):
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parsed = json.loads(value)
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return isinstance(parsed, list)
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elif isinstance(value, list):
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# 检查是否为JSON字符串数组
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if len(value) > 0 and isinstance(value[0], str):
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try:
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json.loads(value[0])
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return True
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except:
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return False
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return True
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except:
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return False
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def compare_array_values(value1, value2):
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"""专门用于比较数组类型的值"""
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try:
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# 处理字符串表示的数组
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if isinstance(value1, str) and isinstance(value2, str):
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try:
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array1 = json.loads(value1)
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array2 = json.loads(value2)
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if isinstance(array1, list) and isinstance(array2, list):
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return compare_json_arrays(array1, array2)
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except:
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pass
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# 处理Python列表类型
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elif isinstance(value1, list) and isinstance(value2, list):
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return compare_json_arrays(value1, value2)
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# 处理混合情况：一个是字符串数组，一个是列表
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elif isinstance(value1, list) and isinstance(value2, str):
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try:
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array2 = json.loads(value2)
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if isinstance(array2, list):
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return compare_json_arrays(value1, array2)
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except:
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pass
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elif isinstance(value1, str) and isinstance(value2, list):
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try:
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array1 = json.loads(value1)
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if isinstance(array1, list):
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return compare_json_arrays(array1, value2)
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except:
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pass
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return False
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except Exception as e:
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logger.warning(f"数组比较失败: {e}")
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return False
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def compare_json_arrays(array1, array2):
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"""比较两个JSON数组，忽略元素顺序"""
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try:
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if len(array1) != len(array2):
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return False
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# 标准化两个数组
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normalized_array1 = normalize_json_array(array1.copy())
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normalized_array2 = normalize_json_array(array2.copy())
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# 将标准化后的数组转换为可比较的格式
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comparable1 = json.dumps(normalized_array1, sort_keys=True)
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comparable2 = json.dumps(normalized_array2, sort_keys=True)
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return comparable1 == comparable2
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except Exception as e:
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logger.warning(f"JSON数组比较失败: {e}")
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return False
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def format_json_for_display(value):
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"""格式化JSON用于显示"""
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if not isinstance(value, str):
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return str(value)
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try:
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# 尝试解析JSON
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json_obj = json.loads(value)
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# 格式化显示（带缩进）
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return json.dumps(json_obj, sort_keys=True, indent=2, ensure_ascii=False)
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except (json.JSONDecodeError, TypeError):
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# 如果不是JSON，返回原值
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return str(value)
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def is_json_field(value):
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"""检查字段是否为JSON格式"""
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if not isinstance(value, str):
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return False
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try:
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json.loads(value)
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return True
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except (json.JSONDecodeError, TypeError):
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return False
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def compare_values(value1, value2):
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"""智能比较两个值，支持JSON标准化和数组比较"""
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# 首先检查是否为数组类型
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if is_json_array_field(value1) or is_json_array_field(value2):
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return compare_array_values(value1, value2)
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# 如果两个值都是字符串，尝试JSON标准化比较
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if isinstance(value1, str) and isinstance(value2, str):
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normalized_value1 = normalize_json_string(value1)
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normalized_value2 = normalize_json_string(value2)
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return normalized_value1 == normalized_value2
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# 其他情况直接比较
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return value1 == value2
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# 默认配置（不显示敏感信息）
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DEFAULT_CONFIG = {
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'pro_config': {
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'cluster_name': '',
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'hosts': [],
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'port': 9042,
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'datacenter': '',
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'username': '',
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'password': '',
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'keyspace': '',
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'table': ''
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},
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'test_config': {
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'cluster_name': '',
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'hosts': [],
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'port': 9042,
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'datacenter': '',
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'username': '',
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'password': '',
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'keyspace': '',
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'table': ''
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},
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'keys': ['docid'],
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'fields_to_compare': [],
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'exclude_fields': []
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}
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def save_config_group(name, description, pro_config, test_config, query_config):
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"""保存配置组"""
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if not ensure_database():
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logger.error("数据库初始化失败")
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return False
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conn = get_db_connection()
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cursor = conn.cursor()
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try:
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cursor.execute('''
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INSERT OR REPLACE INTO config_groups
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(name, description, pro_config, test_config, query_config, updated_at)
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VALUES (?, ?, ?, ?, ?, ?)
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''', (
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name, description,
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json.dumps(pro_config),
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json.dumps(test_config),
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json.dumps(query_config),
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datetime.now().isoformat()
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))
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conn.commit()
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logger.info(f"配置组 '{name}' 保存成功")
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return True
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except Exception as e:
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logger.error(f"保存配置组失败: {e}")
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return False
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finally:
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conn.close()
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def get_config_groups():
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"""获取所有配置组"""
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if not ensure_database():
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logger.error("数据库初始化失败")
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return []
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conn = get_db_connection()
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cursor = conn.cursor()
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try:
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cursor.execute('''
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SELECT id, name, description, created_at, updated_at
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FROM config_groups
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ORDER BY updated_at DESC
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''')
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rows = cursor.fetchall()
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config_groups = []
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for row in rows:
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config_groups.append({
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'id': row['id'],
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'name': row['name'],
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'description': row['description'],
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'created_at': row['created_at'],
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'updated_at': row['updated_at']
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})
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return config_groups
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except Exception as e:
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logger.error(f"获取配置组失败: {e}")
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return []
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finally:
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conn.close()
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def get_config_group_by_id(group_id):
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"""根据ID获取配置组详情"""
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if not ensure_database():
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logger.error("数据库初始化失败")
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return None
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conn = get_db_connection()
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cursor = conn.cursor()
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try:
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cursor.execute('''
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SELECT * FROM config_groups WHERE id = ?
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''', (group_id,))
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row = cursor.fetchone()
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if row:
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return {
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'id': row['id'],
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'name': row['name'],
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'description': row['description'],
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'pro_config': json.loads(row['pro_config']),
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'test_config': json.loads(row['test_config']),
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'query_config': json.loads(row['query_config']),
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'created_at': row['created_at'],
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'updated_at': row['updated_at']
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}
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return None
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except Exception as e:
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logger.error(f"获取配置组详情失败: {e}")
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return None
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finally:
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conn.close()
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def delete_config_group(group_id):
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"""删除配置组"""
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if not ensure_database():
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logger.error("数据库初始化失败")
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return False
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conn = get_db_connection()
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cursor = conn.cursor()
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try:
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cursor.execute('DELETE FROM config_groups WHERE id = ?', (group_id,))
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conn.commit()
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success = cursor.rowcount > 0
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if success:
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logger.info(f"配置组ID {group_id} 删除成功")
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return success
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except Exception as e:
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logger.error(f"删除配置组失败: {e}")
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return False
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finally:
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conn.close()
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def create_connection(config):
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"""创建Cassandra连接"""
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try:
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auth_provider = PlainTextAuthProvider(username=config['username'], password=config['password'])
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cluster = Cluster(config['hosts'], port=config['port'], auth_provider=auth_provider)
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session = cluster.connect(config['keyspace'])
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return cluster, session
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except Exception as e:
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return None, None
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def execute_query(session, table, keys, fields, values, exclude_fields=None):
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"""执行查询"""
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try:
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# 构建查询条件
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quoted_values = [f"'{value}'" for value in values]
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query_conditions = f"{keys[0]} IN ({', '.join(quoted_values)})"
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# 确定要查询的字段
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if fields:
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fields_str = ", ".join(fields)
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else:
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fields_str = "*"
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query_sql = f"SELECT {fields_str} FROM {table} WHERE {query_conditions};"
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result = session.execute(query_sql)
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return list(result) if result else []
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except Exception as e:
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return []
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def compare_results(pro_data, test_data, keys, fields_to_compare, exclude_fields, values):
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"""比较查询结果"""
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differences = []
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field_diff_count = {}
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identical_results = [] # 存储相同的结果
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for value in values:
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# 查找原表和测试表中该ID的相关数据
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rows_pro = [row for row in pro_data if getattr(row, keys[0]) == value]
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rows_test = [row for row in test_data if getattr(row, keys[0]) == value]
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for row_pro in rows_pro:
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# 在测试表中查找相同主键的行
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row_test = next(
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(row for row in rows_test if all(getattr(row, key) == getattr(row_pro, key) for key in keys)),
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None
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)
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if row_test:
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# 确定要比较的列
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columns = fields_to_compare if fields_to_compare else row_pro._fields
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columns = [col for col in columns if col not in exclude_fields]
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has_difference = False
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row_differences = []
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identical_fields = {}
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for column in columns:
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value_pro = getattr(row_pro, column)
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value_test = getattr(row_test, column)
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# 使用智能比较函数
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if not compare_values(value_pro, value_test):
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has_difference = True
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# 格式化显示值
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formatted_pro_value = format_json_for_display(value_pro)
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formatted_test_value = format_json_for_display(value_test)
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row_differences.append({
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'key': {key: getattr(row_pro, key) for key in keys},
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'field': column,
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'pro_value': formatted_pro_value,
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'test_value': formatted_test_value,
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'is_json': is_json_field(value_pro) or is_json_field(value_test),
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'is_array': is_json_array_field(value_pro) or is_json_array_field(value_test)
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})
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# 统计字段差异次数
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field_diff_count[column] = field_diff_count.get(column, 0) + 1
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else:
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# 存储相同的字段值
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identical_fields[column] = format_json_for_display(value_pro)
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if has_difference:
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differences.extend(row_differences)
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else:
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# 如果没有差异，存储到相同结果中
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identical_results.append({
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'key': {key: getattr(row_pro, key) for key in keys},
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'pro_fields': identical_fields,
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'test_fields': {col: format_json_for_display(getattr(row_test, col)) for col in columns}
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})
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else:
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# 在测试表中未找到对应行
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differences.append({
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'key': {key: getattr(row_pro, key) for key in keys},
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'message': '在测试表中未找到该行'
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})
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# 检查测试表中是否有生产表中不存在的行
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for row_test in rows_test:
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row_pro = next(
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(row for row in rows_pro if all(getattr(row, key) == getattr(row_test, key) for key in keys)),
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None
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)
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if not row_pro:
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differences.append({
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'key': {key: getattr(row_test, key) for key in keys},
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'message': '在生产表中未找到该行'
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})
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return differences, field_diff_count, identical_results
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def generate_comparison_summary(total_keys, pro_count, test_count, differences, identical_results, field_diff_count):
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"""生成比较总结报告"""
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# 计算基本统计
|
||
different_records = len(set([list(diff['key'].values())[0] for diff in differences if 'field' in diff]))
|
||
identical_records = len(identical_results)
|
||
missing_in_test = len([diff for diff in differences if diff.get('message') == '在测试表中未找到该行'])
|
||
missing_in_pro = len([diff for diff in differences if diff.get('message') == '在生产表中未找到该行'])
|
||
|
||
# 计算百分比
|
||
def safe_percentage(part, total):
|
||
return round((part / total * 100), 2) if total > 0 else 0
|
||
|
||
identical_percentage = safe_percentage(identical_records, total_keys)
|
||
different_percentage = safe_percentage(different_records, total_keys)
|
||
|
||
# 生成总结
|
||
summary = {
|
||
'overview': {
|
||
'total_keys_queried': total_keys,
|
||
'pro_records_found': pro_count,
|
||
'test_records_found': test_count,
|
||
'identical_records': identical_records,
|
||
'different_records': different_records,
|
||
'missing_in_test': missing_in_test,
|
||
'missing_in_pro': missing_in_pro
|
||
},
|
||
'percentages': {
|
||
'data_consistency': identical_percentage,
|
||
'data_differences': different_percentage,
|
||
'missing_rate': safe_percentage(missing_in_test + missing_in_pro, total_keys)
|
||
},
|
||
'field_analysis': {
|
||
'total_fields_compared': len(field_diff_count) if field_diff_count else 0,
|
||
'most_different_fields': sorted(field_diff_count.items(), key=lambda x: x[1], reverse=True)[:5] if field_diff_count else []
|
||
},
|
||
'data_quality': {
|
||
'completeness': safe_percentage(pro_count + test_count, total_keys * 2),
|
||
'consistency_score': identical_percentage,
|
||
'quality_level': get_quality_level(identical_percentage)
|
||
},
|
||
'recommendations': generate_recommendations(identical_percentage, missing_in_test, missing_in_pro, field_diff_count)
|
||
}
|
||
|
||
return summary
|
||
|
||
def get_quality_level(consistency_percentage):
|
||
"""根据一致性百分比获取数据质量等级"""
|
||
if consistency_percentage >= 95:
|
||
return {'level': '优秀', 'color': 'success', 'description': '数据一致性非常高'}
|
||
elif consistency_percentage >= 90:
|
||
return {'level': '良好', 'color': 'info', 'description': '数据一致性较高'}
|
||
elif consistency_percentage >= 80:
|
||
return {'level': '一般', 'color': 'warning', 'description': '数据一致性中等，需要关注'}
|
||
else:
|
||
return {'level': '较差', 'color': 'danger', 'description': '数据一致性较低，需要重点处理'}
|
||
|
||
def generate_recommendations(consistency_percentage, missing_in_test, missing_in_pro, field_diff_count):
|
||
"""生成改进建议"""
|
||
recommendations = []
|
||
|
||
if consistency_percentage < 90:
|
||
recommendations.append('建议重点关注数据一致性问题，检查数据同步机制')
|
||
|
||
if missing_in_test > 0:
|
||
recommendations.append(f'测试环境缺失 {missing_in_test} 条记录，建议检查数据迁移过程')
|
||
|
||
if missing_in_pro > 0:
|
||
recommendations.append(f'生产环境缺失 {missing_in_pro} 条记录，建议检查数据完整性')
|
||
|
||
if field_diff_count:
|
||
top_diff_field = max(field_diff_count.items(), key=lambda x: x[1])
|
||
recommendations.append(f'字段 "{top_diff_field[0]}" 差异最多({top_diff_field[1]}次)，建议优先处理')
|
||
|
||
if not recommendations:
|
||
recommendations.append('数据质量良好，建议继续保持当前的数据管理流程')
|
||
|
||
return recommendations
|
||
|
||
@app.route('/')
|
||
def index():
|
||
return render_template('index.html')
|
||
|
||
@app.route('/db-compare')
|
||
def db_compare():
|
||
return render_template('db_compare.html')
|
||
|
||
@app.route('/api/query', methods=['POST'])
|
||
def query_compare():
|
||
try:
|
||
data = request.json
|
||
logger.info("开始执行数据库比对查询")
|
||
|
||
# 解析配置
|
||
pro_config = data.get('pro_config', DEFAULT_CONFIG['pro_config'])
|
||
test_config = data.get('test_config', DEFAULT_CONFIG['test_config'])
|
||
keys = data.get('keys', DEFAULT_CONFIG['keys'])
|
||
fields_to_compare = data.get('fields_to_compare', DEFAULT_CONFIG['fields_to_compare'])
|
||
exclude_fields = data.get('exclude_fields', DEFAULT_CONFIG['exclude_fields'])
|
||
values = data.get('values', [])
|
||
|
||
if not values:
|
||
logger.warning("查询失败：未提供查询key值")
|
||
return jsonify({'error': '请提供查询key值'}), 400
|
||
|
||
logger.info(f"查询配置：{len(values)}个key值，生产表：{pro_config['table']}，测试表：{test_config['table']}")
|
||
|
||
# 创建数据库连接
|
||
pro_cluster, pro_session = create_connection(pro_config)
|
||
test_cluster, test_session = create_connection(test_config)
|
||
|
||
if not pro_session or not test_session:
|
||
logger.error("数据库连接失败")
|
||
return jsonify({'error': '数据库连接失败，请检查配置信息'}), 500
|
||
|
||
try:
|
||
# 执行查询
|
||
logger.info("执行生产环境查询")
|
||
pro_data = execute_query(pro_session, pro_config['table'], keys, fields_to_compare, values, exclude_fields)
|
||
logger.info("执行测试环境查询")
|
||
test_data = execute_query(test_session, test_config['table'], keys, fields_to_compare, values, exclude_fields)
|
||
|
||
logger.info(f"查询结果：生产表 {len(pro_data)} 条记录，测试表 {len(test_data)} 条记录")
|
||
|
||
# 比较结果
|
||
differences, field_diff_count, identical_results = compare_results(pro_data, test_data, keys, fields_to_compare, exclude_fields, values)
|
||
|
||
# 统计信息
|
||
different_ids = set()
|
||
for diff in differences:
|
||
if 'field' in diff:
|
||
different_ids.add(list(diff['key'].values())[0])
|
||
|
||
non_different_ids = set(values) - different_ids
|
||
|
||
# 生成比较总结
|
||
summary = generate_comparison_summary(
|
||
len(values), len(pro_data), len(test_data),
|
||
differences, identical_results, field_diff_count
|
||
)
|
||
|
||
result = {
|
||
'total_keys': len(values),
|
||
'pro_count': len(pro_data),
|
||
'test_count': len(test_data),
|
||
'differences': differences,
|
||
'identical_results': identical_results,
|
||
'field_diff_count': field_diff_count,
|
||
'different_ids': list(different_ids),
|
||
'non_different_ids': list(non_different_ids),
|
||
'summary': summary,
|
||
'raw_pro_data': [dict(row._asdict()) for row in pro_data] if pro_data else [],
|
||
'raw_test_data': [dict(row._asdict()) for row in test_data] if test_data else []
|
||
}
|
||
|
||
logger.info(f"比对完成：发现 {len(differences)} 处差异")
|
||
return jsonify(result)
|
||
|
||
except Exception as e:
|
||
logger.error(f"查询执行失败：{str(e)}")
|
||
return jsonify({'error': f'查询执行失败：{str(e)}'}), 500
|
||
finally:
|
||
# 关闭连接
|
||
if pro_cluster:
|
||
pro_cluster.shutdown()
|
||
if test_cluster:
|
||
test_cluster.shutdown()
|
||
|
||
except Exception as e:
|
||
logger.error(f"请求处理失败：{str(e)}")
|
||
return jsonify({'error': f'请求处理失败：{str(e)}'}), 500
|
||
|
||
@app.route('/api/default-config')
|
||
def get_default_config():
|
||
return jsonify(DEFAULT_CONFIG)
|
||
|
||
# 配置组管理API
|
||
@app.route('/api/config-groups', methods=['GET'])
|
||
def api_get_config_groups():
|
||
"""获取所有配置组"""
|
||
config_groups = get_config_groups()
|
||
return jsonify({'success': True, 'data': config_groups})
|
||
|
||
@app.route('/api/config-groups', methods=['POST'])
|
||
def api_save_config_group():
|
||
"""保存配置组"""
|
||
try:
|
||
data = request.json
|
||
name = data.get('name', '').strip()
|
||
description = data.get('description', '').strip()
|
||
pro_config = data.get('pro_config', {})
|
||
test_config = data.get('test_config', {})
|
||
query_config = {
|
||
'keys': data.get('keys', []),
|
||
'fields_to_compare': data.get('fields_to_compare', []),
|
||
'exclude_fields': data.get('exclude_fields', [])
|
||
}
|
||
|
||
if not name:
|
||
return jsonify({'success': False, 'error': '配置组名称不能为空'}), 400
|
||
|
||
success = save_config_group(name, description, pro_config, test_config, query_config)
|
||
|
||
if success:
|
||
return jsonify({'success': True, 'message': '配置组保存成功'})
|
||
else:
|
||
return jsonify({'success': False, 'error': '配置组保存失败'}), 500
|
||
|
||
except Exception as e:
|
||
logger.error(f"保存配置组API失败: {e}")
|
||
return jsonify({'success': False, 'error': str(e)}), 500
|
||
|
||
@app.route('/api/config-groups/<int:group_id>', methods=['GET'])
|
||
def api_get_config_group(group_id):
|
||
"""获取指定配置组详情"""
|
||
config_group = get_config_group_by_id(group_id)
|
||
|
||
if config_group:
|
||
return jsonify({'success': True, 'data': config_group})
|
||
else:
|
||
return jsonify({'success': False, 'error': '配置组不存在'}), 404
|
||
|
||
@app.route('/api/config-groups/<int:group_id>', methods=['DELETE'])
|
||
def api_delete_config_group(group_id):
|
||
"""删除配置组"""
|
||
success = delete_config_group(group_id)
|
||
|
||
if success:
|
||
return jsonify({'success': True, 'message': '配置组删除成功'})
|
||
else:
|
||
return jsonify({'success': False, 'error': '配置组删除失败'}), 500
|
||
|
||
@app.route('/api/init-db', methods=['POST'])
|
||
def api_init_database():
|
||
"""手动初始化数据库（用于测试）"""
|
||
success = init_database()
|
||
if success:
|
||
return jsonify({'success': True, 'message': '数据库初始化成功'})
|
||
else:
|
||
return jsonify({'success': False, 'error': '数据库初始化失败'}), 500
|
||
|
||
if __name__ == '__main__':
|
||
app.run(debug=True)
|