hello-dd-code
19cf9ce901
- 统一五个站点采集逻辑与启动脚本\n- 新增 dls_fresh 采集流程与日志优化\n- 新增 export_lawyers_excel 按时间条件导出\n- 默认导出近7天并支持扩展字段解析\n- 整理 .gitignore，忽略 data/logs 本地产物
697 lines
24 KiB
Python
697 lines
24 KiB
Python
import argparse
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import hashlib
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import json
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import os
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import random
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import re
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import sys
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import time
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from dataclasses import dataclass
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from typing import Dict, Iterable, List, Optional, Set, Tuple
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from urllib.parse import urljoin
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import urllib3
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from bs4 import BeautifulSoup
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current_dir = os.path.dirname(os.path.abspath(__file__))
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project_root = os.path.dirname(current_dir)
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request_dir = os.path.join(project_root, "request")
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if request_dir not in sys.path:
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sys.path.insert(0, request_dir)
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if project_root not in sys.path:
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sys.path.append(project_root)
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from Db import Db
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from request.requests_client import RequestClientError, RequestsClient
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from utils.rate_limiter import wait_for_request
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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SITE_NAME = "64365"
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LEGACY_DOMAIN = "律图"
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SITE_BASE = "https://m.64365.com"
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AREA_DATA_URL = "https://image.64365.com/ui_v3/m/js/public/area-cate-data.js"
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LIST_API_URL = "https://m.64365.com/findLawyer/rpc/FindLawyer/LawyerRecommend/"
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PHONE_RE = re.compile(r"1[3-9]\d{9}")
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YEAR_RE = re.compile(r"(\d+)\s*年")
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@dataclass
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class CityTarget:
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area_id: str
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province_id: str
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province_name: str
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province_py: str
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city_name: str
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city_py: str
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@dataclass
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class ListCard:
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detail_url: str
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name: str
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specialties: List[str]
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score_text: str
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service_text: str
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def normalize_phone(text: str) -> str:
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compact = re.sub(r"\D", "", text or "")
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match = PHONE_RE.search(compact)
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return match.group(0) if match else ""
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class Six4365Crawler:
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def __init__(
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self,
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max_pages: int = 9999,
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sleep_seconds: float = 0.1,
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use_proxy: bool = True,
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db_connection=None,
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):
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self.max_pages = max_pages
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self.sleep_seconds = max(0.0, sleep_seconds)
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self.db = db_connection
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self.client = RequestsClient(
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headers={
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"User-Agent": (
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"Mozilla/5.0 (iPhone; CPU iPhone OS 13_2_3 like Mac OS X) "
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"AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.0.3 "
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"Mobile/15E148 Safari/604.1"
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),
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"Accept": "text/html, */*; q=0.01",
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"Connection": "close",
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},
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use_proxy=use_proxy,
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retry_total=2,
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retry_backoff_factor=1,
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retry_status_forcelist=(429, 500, 502, 503, 504),
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retry_allowed_methods=("GET", "POST"),
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)
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def _request_text(
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self,
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method: str,
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url: str,
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*,
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timeout: int = 20,
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max_retries: int = 3,
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referer: str = SITE_BASE,
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data: Optional[Dict] = None,
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) -> str:
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headers = {"Referer": referer}
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last_error: Optional[Exception] = None
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for attempt in range(max_retries):
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wait_for_request()
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try:
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if method.upper() == "POST":
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resp = self.client.post_text(
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url,
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timeout=timeout,
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verify=False,
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headers=headers,
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data=data,
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)
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else:
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resp = self.client.get_text(
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url,
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timeout=timeout,
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verify=False,
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headers=headers,
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)
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code = resp.status_code
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if code == 403:
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if attempt < max_retries - 1:
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self.client.refresh()
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time.sleep((2 ** attempt) + random.uniform(0.2, 0.8))
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continue
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raise RequestClientError(f"{code} Error: {url}")
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if code >= 500 and attempt < max_retries - 1:
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time.sleep((2 ** attempt) + random.uniform(0.2, 0.8))
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continue
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if code >= 400:
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raise RequestClientError(f"{code} Error: {url}")
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return resp.text
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except Exception as exc:
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last_error = exc
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if attempt < max_retries - 1:
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time.sleep((2 ** attempt) + random.uniform(0.2, 0.8))
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continue
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raise
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if last_error is not None:
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raise last_error
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raise RequestClientError(f"Unknown request error: {url}")
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def _get_text(self, url: str, *, timeout: int = 20, max_retries: int = 3, referer: str = SITE_BASE) -> str:
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return self._request_text(
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"GET",
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url,
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timeout=timeout,
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max_retries=max_retries,
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referer=referer,
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)
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def _post_text(
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self,
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url: str,
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*,
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data: Dict,
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timeout: int = 20,
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max_retries: int = 3,
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referer: str = SITE_BASE,
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) -> str:
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return self._request_text(
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"POST",
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url,
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timeout=timeout,
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max_retries=max_retries,
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referer=referer,
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data=data,
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)
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def _extract_area_data(self, text: str) -> List[Dict]:
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match = re.search(
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r"lvtuData\.areaData\s*=\s*(\[[\s\S]*?\])\s*;\s*lvtuData\.categroyData",
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text,
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re.S,
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)
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if not match:
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return []
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raw = match.group(1)
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try:
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data = json.loads(raw)
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except Exception:
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return []
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return data if isinstance(data, list) else []
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def discover_cities(self) -> List[CityTarget]:
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text = self._get_text(AREA_DATA_URL, referer=SITE_BASE + "/findlawyer/")
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provinces = self._extract_area_data(text)
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targets: List[CityTarget] = []
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seen_area: Set[str] = set()
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for province in provinces:
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province_id = str(province.get("id") or "").strip()
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province_name = str(province.get("name") or "").strip()
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province_py = str(province.get("py") or "").strip()
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child_rows = province.get("child") or []
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# 常规省份 child 是地级市；直辖市 child 是区县，此时使用省级 id 抓取
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if child_rows and any((row.get("child") or []) for row in child_rows):
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for city in child_rows:
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area_id = str(city.get("id") or "").strip()
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city_name = str(city.get("name") or "").strip()
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city_py = str(city.get("py") or "").strip()
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if not area_id or not city_name:
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continue
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if area_id in seen_area:
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continue
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seen_area.add(area_id)
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targets.append(
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CityTarget(
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area_id=area_id,
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province_id=province_id,
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province_name=province_name,
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province_py=province_py,
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city_name=city_name,
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city_py=city_py,
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)
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)
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else:
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if not province_id or not province_name:
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continue
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if province_id in seen_area:
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continue
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seen_area.add(province_id)
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targets.append(
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CityTarget(
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area_id=province_id,
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province_id=province_id,
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province_name=province_name,
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province_py=province_py,
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city_name=province_name,
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city_py=province_py,
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)
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)
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return targets
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def _build_payload(self, area_id: str, page: int) -> Dict[str, str]:
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ua = self.client.headers.get("User-Agent", "")
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return {
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"AdCode": "",
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"RegionId": str(area_id),
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"CategoryId": "",
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"MaxNumber": "",
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"OnlyData": "true",
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"IgnoreButton": "",
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"LawyerRecommendRequest[AreaId]": str(area_id),
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"LawyerRecommendRequest[LawCategoryIds]": "",
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"LawyerRecommendRequest[LawFirmPersonCount]": "",
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"LawyerRecommendRequest[LawFirmScale]": "",
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"LawyerRecommendRequest[OrderType]": "0",
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"LawyerRecommendRequest[PageIndex]": str(page),
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"LawyerRecommendRequest[PageSize]": "10",
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"LawyerRecommendRequest[TagId]": "",
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"LawyerRecommendRequest[Type]": "1",
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"LawyerRecommendRequest[AccountType]": "",
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"LawyerRecommendRequest[AddLawyer]": "true",
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"LawyerRecommendRequest[Content]": "",
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"LawyerRecommendRequest[Duty]": "",
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"LawyerRecommendRequest[ExcludeLawyerIds][]": "",
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"LawyerRecommendRequest[RefferUrl]": "",
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"LawyerRecommendRequest[RequestUrl]": "https://m.64365.com/findlawyer/",
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"LawyerRecommendRequest[resource_type_name]": "",
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"LawyerRecommendRequest[UserAgent]": ua,
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"LawyerRecommendRequest[AddLawyerWithNoData]": "false",
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"ShowCaseButton": "true",
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}
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def fetch_list_html(self, target: CityTarget, page: int) -> str:
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payload = self._build_payload(target.area_id, page)
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return self._post_text(
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LIST_API_URL,
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data=payload,
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referer=SITE_BASE + "/findlawyer/",
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)
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def parse_list_cards(self, html: str) -> List[ListCard]:
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soup = BeautifulSoup(html, "html.parser")
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cards: List[ListCard] = []
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seen: Set[str] = set()
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for anchor in soup.select("a.lawyer[href]"):
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href = (anchor.get("href") or "").strip()
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if not href:
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continue
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detail_url = urljoin(SITE_BASE, href)
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if detail_url in seen:
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continue
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seen.add(detail_url)
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name = ""
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name_tag = anchor.select_one("b.name")
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if name_tag:
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name = name_tag.get_text(strip=True)
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specialties: List[str] = []
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skill_tag = anchor.select_one("div.skill")
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if skill_tag:
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raw = skill_tag.get_text(" ", strip=True).replace("擅长：", "")
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specialties = [x.strip() for x in re.split(r"[、,，]", raw) if x.strip()]
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score_text = ""
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score_tag = anchor.select_one("div.info span[title='评分'] em")
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if score_tag:
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score_text = score_tag.get_text(strip=True)
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service_text = ""
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service_tag = anchor.select_one("div.info")
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if service_tag:
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service_text = service_tag.get_text(" ", strip=True)
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cards.append(
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ListCard(
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detail_url=detail_url,
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name=name,
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specialties=specialties,
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score_text=score_text,
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service_text=service_text,
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)
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)
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return cards
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def parse_detail(self, detail_url: str) -> Dict:
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info_url = detail_url.rstrip("/") + "/info/"
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html = self._get_text(info_url, referer=detail_url)
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soup = BeautifulSoup(html, "html.parser")
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name = ""
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law_firm = ""
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phone = ""
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practice_years: Optional[int] = None
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office_area = ""
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address = ""
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specialties: List[str] = []
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for li in soup.select("ul.intro-basic-bar li"):
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label_tag = li.select_one("span.label")
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value_tag = li.select_one("div.txt")
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if not label_tag or not value_tag:
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continue
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label = label_tag.get_text(" ", strip=True).replace("：", "")
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value = value_tag.get_text(" ", strip=True)
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if "姓名" in label and not name:
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name = value
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elif "执业律所" in label and not law_firm:
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law_firm = value
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elif "联系电话" in label and not phone:
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phone = normalize_phone(value)
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elif "执业年限" in label and practice_years is None:
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year_match = YEAR_RE.search(value)
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if year_match:
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try:
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practice_years = int(year_match.group(1))
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except Exception:
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practice_years = None
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elif "办公地区" in label and not office_area:
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office_area = value
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elif "办公地址" in label and not address:
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address = value
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text = soup.get_text(" ", strip=True)
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if not phone:
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phone = normalize_phone(text)
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if not name and soup.title:
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title = soup.title.get_text(" ", strip=True)
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match = re.search(r"([^\s_，,。]+?)律师", title)
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if match:
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name = match.group(1).strip()
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skill_match = re.search(r"擅长：([^\n]+)", text)
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if skill_match:
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specialties = [x.strip() for x in re.split(r"[、,，]", skill_match.group(1)) if x.strip()]
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return {
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"name": name,
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"law_firm": law_firm,
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"phone": phone,
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"practice_years": practice_years,
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"office_area": office_area,
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"address": address,
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"specialties": specialties,
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"detail_url": detail_url,
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"info_url": info_url,
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}
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def crawl_city(self, target: CityTarget) -> Iterable[Dict]:
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seen_detail_urls: Set[str] = set()
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page_first_seen: Set[str] = set()
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for page in range(1, self.max_pages + 1):
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try:
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html = self.fetch_list_html(target, page)
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except Exception as exc:
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print(f"[list] 失败 area={target.area_id} p{page}: {exc}")
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break
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cards = self.parse_list_cards(html)
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if not cards:
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break
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first_url = cards[0].detail_url
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if first_url in page_first_seen:
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break
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page_first_seen.add(first_url)
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for card in cards:
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if card.detail_url in seen_detail_urls:
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continue
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seen_detail_urls.add(card.detail_url)
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try:
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detail = self.parse_detail(card.detail_url)
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except Exception as exc:
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print(f"[detail] 失败 {card.detail_url}: {exc}")
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continue
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now = int(time.time())
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uid_match = re.search(r"/lawyer/(\d+)/", card.detail_url)
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uid = uid_match.group(1) if uid_match else card.detail_url
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record_id = hashlib.md5(uid.encode("utf-8")).hexdigest()
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yield {
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"record_id": record_id,
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"collected_at": now,
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"source": {
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"site": SITE_NAME,
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"province_id": target.province_id,
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"province": target.province_name,
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"province_py": target.province_py,
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"area_id": target.area_id,
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"city": target.city_name,
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"city_py": target.city_py,
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"page": page,
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"detail_url": card.detail_url,
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"info_url": detail.get("info_url", ""),
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},
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"list_snapshot": {
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"name": card.name,
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"specialties": card.specialties,
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"score_text": card.score_text,
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"service_text": card.service_text,
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},
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"profile": {
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"name": detail.get("name") or card.name,
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"law_firm": detail.get("law_firm") or "",
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"phone": detail.get("phone") or "",
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"practice_years": detail.get("practice_years"),
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"office_area": detail.get("office_area") or "",
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"address": detail.get("address") or "",
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"specialties": detail.get("specialties") or card.specialties,
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},
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}
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if self.sleep_seconds:
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time.sleep(self.sleep_seconds)
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def _to_legacy_lawyer_row(self, record: Dict) -> Optional[Dict[str, str]]:
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source = record.get("source", {}) or {}
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profile = record.get("profile", {}) or {}
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phone = normalize_phone(profile.get("phone", ""))
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if not phone:
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return None
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province = (source.get("province") or "").strip()
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city = (source.get("city") or province).strip()
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return {
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"name": (profile.get("name") or "").strip(),
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"law_firm": (profile.get("law_firm") or "").strip(),
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"province": province,
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"city": city,
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"phone": phone,
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"url": (source.get("info_url") or source.get("detail_url") or "").strip(),
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"domain": LEGACY_DOMAIN,
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"create_time": int(record.get("collected_at") or time.time()),
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"params": json.dumps(record, ensure_ascii=False),
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}
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def _existing_phones_in_db(self, phones: List[str]) -> Set[str]:
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if not self.db or not phones:
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return set()
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deduped = sorted({p for p in phones if p})
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if not deduped:
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return set()
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existing: Set[str] = set()
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cur = self.db.db.cursor()
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try:
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chunk_size = 500
|
||
for i in range(0, len(deduped), chunk_size):
|
||
chunk = deduped[i:i + chunk_size]
|
||
placeholders = ",".join(["%s"] * len(chunk))
|
||
sql = f"SELECT phone FROM lawyer WHERE domain=%s AND phone IN ({placeholders})"
|
||
cur.execute(sql, [LEGACY_DOMAIN, *chunk])
|
||
for row in cur.fetchall():
|
||
existing.add(row[0])
|
||
finally:
|
||
cur.close()
|
||
|
||
return existing
|
||
|
||
def _write_records_to_db(self, records: List[Dict]) -> Tuple[int, int]:
|
||
if not self.db:
|
||
return 0, 0
|
||
|
||
rows: List[Dict[str, str]] = []
|
||
for record in records:
|
||
row = self._to_legacy_lawyer_row(record)
|
||
if row:
|
||
rows.append(row)
|
||
if not rows:
|
||
return 0, 0
|
||
|
||
existing = self._existing_phones_in_db([row["phone"] for row in rows])
|
||
inserted = 0
|
||
skipped = 0
|
||
|
||
for row in rows:
|
||
phone = row.get("phone", "")
|
||
if not phone or phone in existing:
|
||
skipped += 1
|
||
continue
|
||
try:
|
||
self.db.insert_data("lawyer", row)
|
||
existing.add(phone)
|
||
inserted += 1
|
||
except Exception as exc:
|
||
skipped += 1
|
||
print(f"[db] 插入失败 phone={phone} url={row.get('url', '')}: {exc}")
|
||
|
||
return inserted, skipped
|
||
|
||
def crawl(
|
||
self,
|
||
output_path: str,
|
||
max_cities: int = 0,
|
||
city_filter: Optional[str] = None,
|
||
) -> None:
|
||
cities = self.discover_cities()
|
||
print(f"[discover] 共发现地区 {len(cities)} 个")
|
||
|
||
if city_filter:
|
||
key = city_filter.strip().lower()
|
||
cities = [
|
||
c for c in cities
|
||
if key in c.city_name.lower() or key in c.city_py.lower() or key in c.area_id
|
||
]
|
||
print(f"[discover] 过滤后地区 {len(cities)} 个, filter={city_filter}")
|
||
|
||
if max_cities > 0:
|
||
cities = cities[:max_cities]
|
||
print(f"[discover] 截断地区数 {len(cities)}")
|
||
|
||
os.makedirs(os.path.dirname(output_path) or ".", exist_ok=True)
|
||
|
||
seen_ids: Set[str] = set()
|
||
if os.path.exists(output_path):
|
||
with open(output_path, "r", encoding="utf-8") as old_file:
|
||
for line in old_file:
|
||
line = line.strip()
|
||
if not line:
|
||
continue
|
||
try:
|
||
item = json.loads(line)
|
||
except Exception:
|
||
continue
|
||
rid = item.get("record_id")
|
||
if rid:
|
||
seen_ids.add(rid)
|
||
print(f"[resume] 已有记录 {len(seen_ids)} 条")
|
||
|
||
total_new_json = 0
|
||
total_new_db = 0
|
||
total_skip_db = 0
|
||
|
||
with open(output_path, "a", encoding="utf-8") as out:
|
||
for idx, target in enumerate(cities, start=1):
|
||
print(
|
||
f"[city {idx}/{len(cities)}] {target.province_name}-{target.city_name} "
|
||
f"(area={target.area_id})"
|
||
)
|
||
city_records = list(self.crawl_city(target))
|
||
|
||
city_new_json = 0
|
||
for record in city_records:
|
||
rid = record["record_id"]
|
||
if rid in seen_ids:
|
||
continue
|
||
out.write(json.dumps(record, ensure_ascii=False) + "\n")
|
||
seen_ids.add(rid)
|
||
city_new_json += 1
|
||
total_new_json += 1
|
||
|
||
city_new_db, city_skip_db = self._write_records_to_db(city_records)
|
||
total_new_db += city_new_db
|
||
total_skip_db += city_skip_db
|
||
|
||
print(
|
||
f"[city] 采集{len(city_records)}条, JSON新增{city_new_json}条, "
|
||
f"DB新增{city_new_db}条, DB跳过{city_skip_db}条"
|
||
)
|
||
|
||
print(
|
||
f"[done] JSON新增{total_new_json}条, DB新增{total_new_db}条, "
|
||
f"DB跳过{total_skip_db}条, 输出: {output_path}"
|
||
)
|
||
|
||
|
||
def parse_args() -> argparse.Namespace:
|
||
parser = argparse.ArgumentParser(description="律图全新采集脚本（站点数据直采）")
|
||
parser.add_argument(
|
||
"--output",
|
||
default="/www/wwwroot/lawyers/data/six4365_records_all.jsonl",
|
||
help="输出 jsonl 文件路径",
|
||
)
|
||
parser.add_argument(
|
||
"--max-cities",
|
||
type=int,
|
||
default=0,
|
||
help="最多采集多少个地区，0 表示不限",
|
||
)
|
||
parser.add_argument(
|
||
"--max-pages",
|
||
type=int,
|
||
default=9999,
|
||
help="每个地区最多采集多少页",
|
||
)
|
||
parser.add_argument(
|
||
"--city-filter",
|
||
default="",
|
||
help="按城市名称/拼音/编码过滤",
|
||
)
|
||
parser.add_argument(
|
||
"--sleep",
|
||
type=float,
|
||
default=0.1,
|
||
help="详情页请求间隔秒数",
|
||
)
|
||
parser.add_argument(
|
||
"--direct",
|
||
action="store_true",
|
||
help="直连模式，不使用 proxy_settings.json 代理",
|
||
)
|
||
parser.add_argument(
|
||
"--no-db",
|
||
action="store_true",
|
||
help="只输出 JSONL，不写入数据库",
|
||
)
|
||
return parser.parse_args()
|
||
|
||
|
||
def main():
|
||
args = parse_args()
|
||
|
||
if args.no_db:
|
||
crawler = Six4365Crawler(
|
||
max_pages=args.max_pages,
|
||
sleep_seconds=args.sleep,
|
||
use_proxy=not args.direct,
|
||
db_connection=None,
|
||
)
|
||
crawler.crawl(
|
||
output_path=args.output,
|
||
max_cities=args.max_cities,
|
||
city_filter=args.city_filter or None,
|
||
)
|
||
return
|
||
|
||
with Db() as db:
|
||
crawler = Six4365Crawler(
|
||
max_pages=args.max_pages,
|
||
sleep_seconds=args.sleep,
|
||
use_proxy=not args.direct,
|
||
db_connection=db,
|
||
)
|
||
crawler.crawl(
|
||
output_path=args.output,
|
||
max_cities=args.max_cities,
|
||
city_filter=args.city_filter or None,
|
||
)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|