298 lines
11 KiB
Python
298 lines
11 KiB
Python
from flask import Flask, render_template, request, redirect, url_for
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import uuid
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import logging
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import json
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from elasticsearch import Elasticsearch, helpers
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from elasticsearch.exceptions import ApiError, TransportError
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from dataclasses import dataclass, asdict, field
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from typing import List, Dict, Any, Optional
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import json
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# 配置日志级别、格式和输出位置
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logging.basicConfig(
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level=logging.INFO, # 设置日志级别为 INFO
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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handlers=[
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logging.FileHandler("app.log"), # 将日志记录到文件
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logging.StreamHandler() # 同时输出到控制台
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]
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)
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app = Flask(__name__)
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# 全局变量，存储传递进来的嵌套字典数据
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customer_data = []
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buf = {}
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key = "ZbIF9jKqzDyChwiB"
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es = Elasticsearch(
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["https://es.jellydropsllc.com"],
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verify_certs=True,
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ca_certs='/etc/ssl/certs/ISRG_Root_X1.pem' # 使用 ISRG Root X1 验证
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)
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def store_to_es(key, data: Dict[str, Any], index: str) -> bool:
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aiemployee_id = data[key].get('aiemployee')
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if not aiemployee_id:
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logging.info(f".....................保存时 Data must contain an 'aiemployee' key.")
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return False
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try:
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# index方法将数据存储到指定的索引中，使用aiemployee作为文档ID
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response = es.index(index=index, id=aiemployee_id, body=data[key], refresh=True)
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logging.info(f"..........................The document was successfully stored/updated in ES with ID:{response}")
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return True
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except Exception as e:
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logging.info(f".............保存到ES出错！...............{e}..")
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#print(e)
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return False
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def search_es(key: str, index: str) -> Optional[Dict]:
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# 使用term查询来根据文档的_id搜索
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query = {
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"query": {
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"term": { "_id": key }
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}
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}
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try:
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response = es.search(index=index, body=query)
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except Exception as e:
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logging.error(f"Error searching ES: {e}")
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return None
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hits = response.get('hits', {}).get('hits', [])
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if hits:
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return hits[0]['_source'] # 返回找到的第一个文档的内容
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return None
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def load_indices_from_es(key: str, index: str, buf: Dict[str, Any]) -> Any:
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# 在Elasticsearch的指定索引中搜索
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result = search_es(key, index)
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if result:
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# 更新 buf 字典
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buf[key] = result
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return result
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else:
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return None
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def extract_index_structure(es_client, index_name):
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"""
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扫描 Elasticsearch 索引中的一个文档，递归提取字段结构（包括嵌套字段），生成包含所有字段的层级关系和类型信息。
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:param es_client: Elasticsearch 客户端实例
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:param index_name: 要提取的索引名称
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:return: 包含字段结构的字典
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"""
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try:
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# 获取索引中的一个文档
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response = es_client.search(index=index_name, size=1)
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field_structure = {}
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# 递归解析字段结构
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def parse_document(doc, parent_key="", existing_fields=None):
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if existing_fields is None:
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existing_fields = {}
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if isinstance(doc, dict):
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for key, value in doc.items():
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full_key = f"{parent_key}.{key}" if parent_key else key
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if isinstance(value, dict):
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existing_fields[full_key] = "dict"
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parse_document(value, full_key, existing_fields)
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elif isinstance(value, list):
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# 遍历列表中的所有元素，确保全面检查类型
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list_types = set()
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for item in value:
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list_types.add(type(item).__name__)
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if isinstance(item, dict):
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parse_document(item, full_key, existing_fields)
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if len(list_types) == 0:
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existing_fields[full_key] = "list[empty]"
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elif len(list_types) == 1:
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existing_fields[full_key] = f"list[{list_types.pop()}]"
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else:
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existing_fields[full_key] = "list[mixed]"
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else:
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existing_fields[full_key] = type(value).__name__
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elif isinstance(doc, list):
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# 如果是根级别的列表，遍历元素并记录类型
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list_types = set()
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for item in doc:
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list_types.add(type(item).__name__)
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if isinstance(item, dict):
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parse_document(item, parent_key, existing_fields)
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if len(list_types) == 0:
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existing_fields[parent_key] = "list[empty]"
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elif len(list_types) == 1:
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existing_fields[parent_key] = f"list[{list_types.pop()}]"
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else:
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existing_fields[parent_key] = "list[mixed]"
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else:
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existing_fields[parent_key] = type(doc).__name__
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return existing_fields
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# 解析获取到的第一个文档的字段结构
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if 'hits' in response and 'hits' in response['hits'] and len(response['hits']['hits']) > 0:
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source = response['hits']['hits'][0].get('_source', {})
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field_structure = parse_document(source)
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return field_structure
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except Exception as e:
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print(f"Error extracting structure for index {index_name}: {e}")
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return {}
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@app.route('/')
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def index():
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# 默认展示第一个客户
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return redirect(url_for('view_customer', index=0))
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def calculate_statistics():
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total_emails = 0
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cold_lead_count = 0
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no_promotion_count = 0
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# 遍历所有客户数据以计算统计信息
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for customer in customer_data:
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for domain, info in customer.items():
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if 'email addresses' in info and isinstance(info['email addresses'], list):
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for email in info['email addresses']:
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total_emails += 1
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# 判断 "cold lead" 类型
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if email.get('category', '').lower() == "cold lead":
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cold_lead_count += 1
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# 判断是否有推广历史
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promotion_history = email.get('promotion history', [])
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if not promotion_history: # 如果推广历史为空或不存在
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no_promotion_count += 1
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return total_emails, cold_lead_count, no_promotion_count
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@app.route('/customer/<int:index>')
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def view_customer(index):
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# 判断是否有数据
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if not customer_data:
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return "No customer data provided.", 400
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# 确保 index 在合法范围内
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if index < 0 or index >= len(customer_data):
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return "Index out of range.", 400
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customer = customer_data[index]
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# 为每个 email addresses 列表中的项添加唯一的索引
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for domain, info in customer.items():
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print(f"..........domain={domain}")
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print(f"..........info={info}")
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if 'email addresses' in info and isinstance(info['email addresses'], list):
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for email_idx, email in enumerate(info['email addresses']):
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email['idx'] = email_idx # 给每个 email 项添加唯一的索引
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is_first = index == 0
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is_last = index == len(customer_data) - 1
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# 调用统计函数，获取统计数据
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total_emails, cold_lead_count, no_promotion_count = calculate_statistics()
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return render_template('edit_customers.html',
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customer=customer,
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index=index,
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is_first=is_first,
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is_last=is_last,
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total_emails=total_emails,
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cold_lead_count=cold_lead_count,
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no_promotion_count=no_promotion_count)
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@app.route('/update/<int:index>', methods=['POST'])
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def update_customers(index):
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updated_data = request.form.to_dict(flat=False)
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# 更新嵌套字典数据
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if 0 <= index < len(customer_data):
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customer = customer_data[index]
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for domain, info in customer.items():
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if 'customer industry' in info:
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info['customer industry'] = updated_data.get(f'{domain}_industry', [info['customer industry']])[0]
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if 'email addresses' in info and isinstance(info['email addresses'], list):
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for j, email in enumerate(info['email addresses']):
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email["owner's name"] = updated_data.get(f'{domain}_owner_name_{j}', [email["owner's name"]])[0]
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email['email address'] = updated_data.get(f'{domain}_email_address_{j}', [email['email address']])[0]
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email['category'] = updated_data.get(f'{domain}_category_{j}', [email['category']])[0]
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#email['promotion history'] = updated_data.get(f'{domain}_promotion_history_{j}', [', '.join(email['promotion history'])])[0].split(', ')
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if 'promotion history' in email:
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email['promotion history'] = updated_data.get(f'{domain}_promotion_history_{j}', [', '.join(email['promotion history'])])[0].split(', ')
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# 如果 'promotion history' 不存在，什么都不做，直接跳过
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# 将更新后的数据保存到 ES 数据库
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store_to_es(key, buf, 'customer')
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return redirect(url_for('view_customer', index=index))
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def set_customer_data(data):
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global customer_data
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# 确保数据为嵌套字典格式
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if isinstance(data, list) and all(isinstance(customer, dict) for customer in data):
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customer_data = data
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else:
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raise ValueError("Data must be a list of dictionaries.")
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@app.route('/customer/top')
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def view_top_customer():
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# 跳转到数据库的第一条记录
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return redirect(url_for('view_customer', index=0))
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@app.route('/customer/bottom')
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def view_bottom_customer():
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# 跳转到数据库的最后一条记录
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if not customer_data:
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return "No customer data available.", 400
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last_index = len(customer_data) - 1 # 计算最后一条记录的索引
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return redirect(url_for('view_customer', index=last_index))
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@app.route('/search')
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def search_by_email():
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email = request.args.get('email')
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if not email:
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return "Email address is required.", 400
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# 遍历 customer_data 查找匹配的邮件地址
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for index, customer in enumerate(customer_data):
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for domain, info in customer.items():
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if 'email addresses' in info and isinstance(info['email addresses'], list):
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for email_record in info['email addresses']:
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if email_record.get('email address') == email:
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# 找到匹配的记录，跳转到对应的 index
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return redirect(url_for('view_customer', index=index))
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# 如果没有找到匹配的邮件地址
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return "Email address not found.", 404
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# 提取字段结构
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field_structure = extract_index_structure(es, 'customer')
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# 打印字段结构
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print(json.dumps(field_structure, indent=2, ensure_ascii=False)) |