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hello-dd-code
2026-04-28 17:33:51 +08:00
parent ba04fe42fc
commit f67cb30f0d
15 changed files with 1139 additions and 97 deletions
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README.md
+43
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@@ -20,6 +20,49 @@ pip install -r requirements.txt
bash common_sites/start.sh
```
## 拆分运行（直连/代理）
本仓库支持用环境变量 `PROXY_ENABLED` 在一次运行内强制开/关代理：
- **直连**：`PROXY_ENABLED=0`（不使用代理 IP）
- **代理**：`PROXY_ENABLED=1`（强制使用 `request/proxy_settings.json` 的代理配置）
- **默认**：不设置（跟随 `request/proxy_settings.json` 的 `enabled` 字段）
对应提供两套入口脚本：
```bash
# 直连（默认包含：大律师/大律师PC/找法网/法律快车）
bash common_sites/start_direct_twice_weekly.sh
# 代理（默认包含：华律/律图）
bash common_sites/start_proxy_weekly.sh
```
## cron 示例（每周两次直连 + 每周一次代理）
> 下面仅给示例，你可以按机器负载调整时间；日志会输出到 `common_sites/*.log`。
```bash
# 编辑定时任务
crontab -e
# 每周二、周五 02:10 直连跑一次
10 2 * * 2,5 cd /www/wwwroot/lawyers && bash common_sites/start_direct_twice_weekly.sh
# 每周日 03:20 走代理跑一次（你手动续费代理 IP）
20 3 * * 0 cd /www/wwwroot/lawyers && bash common_sites/start_proxy_weekly.sh
```
### 常用参数（可选）
```bash
# 限流（跨进程共享），直连可适当调高，代理建议保守
export PROXY_MAX_REQUESTS_PER_SECOND=8
# 代理连通性输出（部分脚本会打印测试信息）
export PROXY_TEST=1
```
## 说明
- 当前项目直接复用原项目数据库配置和代理配置。
common_sites/dls.py
+6 -5
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@@ -86,11 +86,12 @@ class DlsSpider:
test_url = os.getenv("PROXY_TEST_URL", "https://dev.kdlapi.com/testproxy")
timeout = float(os.getenv("PROXY_TEST_TIMEOUT", "10"))
try:
resp = session.get(
test_url,
timeout=timeout,
headers={"Connection": "close"},
)
with request_slot():
resp = session.get(
test_url,
timeout=timeout,
headers={"Connection": "close"},
)
print(f"[proxy] test {resp.status_code}: {resp.text.strip()[:200]}")
except Exception as exc:
print(f"[proxy] test failed: {exc}")
common_sites/smoke_test_sites.py
+220
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@@ -0,0 +1,220 @@
import json
import os
import sys
import time
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Tuple
current_dir = os.path.dirname(os.path.abspath(__file__))
project_root = os.path.dirname(current_dir)
request_dir = os.path.join(project_root, "request")
if request_dir not in sys.path:
sys.path.insert(0, request_dir)
if project_root not in sys.path:
sys.path.append(project_root)
import requests
from request.proxy_config import get_proxies, report_proxy_status
@dataclass
class CheckResult:
site: str
url: str
method: str
ok: bool
status_code: Optional[int]
error: str
hint: str
elapsed_ms: int
def _now_ms() -> int:
return int(time.time() * 1000)
def _short_hint(text: str) -> str:
s = (text or "").strip().lower()
flags = []
for key, label in [
("403", "403"),
("429", "429"),
("captcha", "captcha"),
("验证码", "captcha_cn"),
("人机", "bot_check_cn"),
("access denied", "access_denied"),
("forbidden", "forbidden"),
("too many requests", "rate_limited"),
("cloudflare", "cloudflare"),
("challenge", "challenge"),
]:
if key in s:
flags.append(label)
return ",".join(flags)[:120]
def _build_session() -> requests.Session:
report_proxy_status()
s = requests.Session()
s.trust_env = False
proxies = get_proxies()
if proxies:
s.proxies.update(proxies)
else:
s.proxies.clear()
s.headers.update(
{
"User-Agent": (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/136.0.0.0 Safari/537.36"
),
"Accept": "*/*",
"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
"Connection": "close",
}
)
return s
def _check(
session: requests.Session,
*,
site: str,
method: str,
url: str,
timeout: Tuple[float, float] = (10.0, 15.0),
headers: Optional[Dict[str, str]] = None,
data: Optional[Dict[str, Any]] = None,
) -> CheckResult:
start = _now_ms()
try:
resp = session.request(
method=method,
url=url,
timeout=timeout,
verify=False,
headers=headers,
data=data,
)
text = resp.text or ""
status = resp.status_code
hint = _short_hint(text[:1200])
ok = 200 <= status < 400
return CheckResult(
site=site,
url=url,
method=method,
ok=ok,
status_code=status,
error="",
hint=hint,
elapsed_ms=_now_ms() - start,
)
except Exception as exc:
return CheckResult(
site=site,
url=url,
method=method,
ok=False,
status_code=None,
error=str(exc)[:200],
hint="",
elapsed_ms=_now_ms() - start,
)
finally:
try:
resp.close() # type: ignore[name-defined]
except Exception:
pass
def _tests() -> List[Dict[str, Any]]:
# 每个站点选一个“代表性列表/API”作为冒烟：能快速暴露 403/验证码/限频。
return [
{
"site": "大律师(m站)",
"method": "GET",
"url": "https://m.maxlaw.cn/",
},
{
"site": "大律师(PC站)",
"method": "GET",
"url": "https://www.maxlaw.cn/law/beijing?page=1",
"headers": {"Referer": "https://www.maxlaw.cn/"},
},
{
"site": "找法网(m站)",
"method": "GET",
"url": "https://m.findlaw.cn/beijing/q_lawyer/p1?ajax=1&order=0&sex=-1",
"headers": {
"Referer": "https://m.findlaw.cn/beijing/q_lawyer/",
"X-Requested-With": "XMLHttpRequest",
"Accept": "application/json, text/javascript, */*; q=0.01",
},
},
{
"site": "法律快车(m站)",
"method": "GET",
"url": "https://m.lawtime.cn/beijing/lawyer/?page=1",
},
{
"site": "律图(m站)",
"method": "POST",
"url": "https://m.64365.com/findLawyer/rpc/FindLawyer/LawyerRecommend/",
"data": {
"RegionId": "110100", # 北京市
"OnlyData": "true",
"LawyerRecommendRequest[AreaId]": "110100",
"LawyerRecommendRequest[PageIndex]": "1",
"LawyerRecommendRequest[PageSize]": "10",
"LawyerRecommendRequest[OrderType]": "0",
"LawyerRecommendRequest[Type]": "1",
},
},
{
"site": "华律(m站)",
"method": "POST",
"url": "https://m.66law.cn/findlawyer/rpc/loadlawyerlist/",
"data": {
"pid": "110000", # 北京
"cid": "110100", # 北京市
"page": "1",
},
},
]
def main() -> int:
mode = os.getenv("PROXY_ENABLED")
print(f"[smoke] PROXY_ENABLED={mode!r}")
s = _build_session()
results: List[CheckResult] = []
for item in _tests():
res = _check(
s,
site=item["site"],
method=item["method"],
url=item["url"],
headers=item.get("headers"),
data=item.get("data"),
)
results.append(res)
print(
f"[smoke] {res.site} {res.method} {res.status_code} ok={res.ok} "
f"{res.elapsed_ms}ms hint={res.hint or '-'} err={res.error or '-'}"
)
time.sleep(0.3)
summary = {
"proxy_enabled": mode,
"results": [res.__dict__ for res in results],
}
print("[smoke] summary_json=" + json.dumps(summary, ensure_ascii=False))
return 0
if __name__ == "__main__":
raise SystemExit(main())
common_sites/start.sh
+16
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@@ -6,11 +6,27 @@ cd "$(dirname "$0")"
echo "使用 request/proxy_settings.json 读取代理配置"
export PROXY_MAX_REQUESTS_PER_SECOND="${PROXY_MAX_REQUESTS_PER_SECOND:-5}"
export PROXY_MAX_CONCURRENT_REQUESTS="${PROXY_MAX_CONCURRENT_REQUESTS:-5}"
is_job_running() {
local script="$1"
local script_regex="${script//./\\.}"
pgrep -af "(^|[[:space:]/])${script_regex}([[:space:]]|$)" || true
}
start_job() {
local script="$1"
local log_file="$2"
local label="$3"
local existing
existing="$(is_job_running "${script}")"
if [[ -n "${existing}" ]]; then
echo "跳过 ${label}: ${script} 已在运行"
echo "${existing}" | head -n 1
return 0
fi
nohup python "../common_sites/${script}" > "${log_file}" 2>&1 &
echo "启动 ${label}: ${script} -> ${log_file}"
sleep 1
common_sites/start_direct_twice_weekly.sh
Executable
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@@ -0,0 +1,48 @@
#!/usr/bin/env bash
set -euo pipefail
# 切换到脚本所在目录，确保相对路径正确
cd "$(dirname "$0")"
# 强制直连：不使用代理 IP
export PROXY_ENABLED=0
# 直连模式建议更保守一些，降低被临时风控的概率
export PROXY_MAX_REQUESTS_PER_SECOND="${PROXY_MAX_REQUESTS_PER_SECOND:-5}"
export PROXY_MAX_CONCURRENT_REQUESTS="${PROXY_MAX_CONCURRENT_REQUESTS:-5}"
is_job_running() {
local script="$1"
local script_regex="${script//./\\.}"
pgrep -af "(^|[[:space:]/])${script_regex}([[:space:]]|$)" || true
}
start_job() {
local script="$1"
local log_file="$2"
local label="$3"
local existing
existing="$(is_job_running "${script}")"
if [[ -n "${existing}" ]]; then
echo "跳过 ${label}: ${script} 已在运行"
echo "${existing}" | head -n 1
return 0
fi
nohup python "../common_sites/${script}" > "${log_file}" 2>&1 &
echo "启动 ${label}: ${script} -> ${log_file}"
sleep 1
}
echo "直连模式（PROXY_ENABLED=0），每周两次建议用 cron 调度"
echo "当前归入直连组：大律师(m/PC)、华律、律图"
# 直连优先站点：
# - 大律师(m站/PC站)：当前可直接访问，未见明显强风控
# - 华律：当前网页可直接访问，未见明显强风控
# - 律图：当前网页可直接访问，未见明显强风控
start_job "dls.py" "direct_dls.log" "大律师(直连)"
start_job "dls_pc.py" "direct_dls_pc.log" "大律师PC站(直连)"
start_job "hualv.py" "direct_hualv.log" "华律(直连)"
start_job "six4365.py" "direct_six4365.log" "律图(直连)"
common_sites/start_proxy_weekly.sh
Executable
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@@ -0,0 +1,53 @@
#!/usr/bin/env bash
set -euo pipefail
# 切换到脚本所在目录，确保相对路径正确
cd "$(dirname "$0")"
# 强制开启代理：用于容易被限频/拦截的站点
export PROXY_ENABLED=1
# 代理模式下默认更保守一点，避免冲爆代理与触发风控
export PROXY_MAX_REQUESTS_PER_SECOND="${PROXY_MAX_REQUESTS_PER_SECOND:-5}"
export PROXY_MAX_CONCURRENT_REQUESTS="${PROXY_MAX_CONCURRENT_REQUESTS:-5}"
# 可选：开启代理连通性测试输出（部分脚本会打印测试信息/代理状态）
export PROXY_TEST="${PROXY_TEST:-0}"
is_job_running() {
local script="$1"
local script_regex="${script//./\\.}"
pgrep -af "(^|[[:space:]/])${script_regex}([[:space:]]|$)" || true
}
start_job() {
local script="$1"
local log_file="$2"
local label="$3"
local existing
existing="$(is_job_running "${script}")"
if [[ -n "${existing}" ]]; then
echo "跳过 ${label}: ${script} 已在运行"
echo "${existing}" | head -n 1
return 0
fi
nohup python "../common_sites/${script}" > "${log_file}" 2>&1 &
echo "启动 ${label}: ${script} -> ${log_file}"
sleep 1
}
echo "代理模式（PROXY_ENABLED=1），每周一次建议用 cron 调度"
echo "代理配置读取自 request/proxy_settings.json"
echo "每周一次代理任务 = 全量采集所有站点"
# 每周一次代理任务做全量采集：
# - 强风控/更敏感站点：找法网、法律快车
# - 其余站点也一并跑，保证每周至少有一次“全量最新数据”刷新
start_job "dls.py" "proxy_dls.log" "大律师(代理全量)"
start_job "dls_pc.py" "proxy_dls_pc.log" "大律师PC站(代理全量)"
start_job "findlaw.py" "proxy_findlaw.log" "找法网(代理)"
start_job "lawtime.py" "proxy_lawtime.log" "法律快车(代理)"
start_job "hualv.py" "proxy_hualv.log" "华律(代理全量)"
start_job "six4365.py" "proxy_six4365.log" "律图(代理全量)"
compare_firm_phones.py
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@@ -0,0 +1,565 @@
#!/usr/bin/env python3
import argparse
import re
from collections import defaultdict
from dataclasses import dataclass
from typing import Dict, Iterable, List, Optional, Sequence, Tuple
import pymysql
from openpyxl import Workbook, load_workbook
from openpyxl.styles import Font
from config import DB_CONFIG
@dataclass(frozen=True)
class LawyerRecord:
id: int
name: str
phone: str
law_firm: str
province: str
city: str
domain: str
create_time: int
@dataclass(frozen=True)
class PhoneBackfill:
matched_phones: List[str]
records: List[LawyerRecord]
best_name: str
best_law_firm: str
best_domain: str
candidate_names: List[str]
candidate_firms: List[str]
candidate_domains: List[str]
DOMAIN_PRIORITY = {
"华律": 90,
"大律师": 85,
"找法网": 82,
"法律快车": 80,
"律图": 72,
"众法利单页": 68,
"众法利": 66,
"六四三六五": 64,
"智飞律师在线": 40,
"高德地图": 10,
}
GENERIC_FIRMS = {"高德搜索"}
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="按律所名从数据库补手机号并导出对比表")
parser.add_argument("--input", default="man.xlsx", help="原始 xlsx 文件路径")
parser.add_argument(
"--output",
default="man_firm_phone_compare.xlsx",
help="输出 xlsx 文件路径",
)
return parser.parse_args()
def normalize_text(value: object) -> str:
text = str(value or "").strip()
text = text.replace("（", "(").replace("）", ")")
text = re.sub(r"\s+", "", text)
return text
def normalize_firm(value: object) -> str:
text = normalize_text(value)
text = text.replace("本地大所", "").replace("特色律所", "")
return text
def normalize_name(value: object) -> str:
text = normalize_text(value)
return text.replace("律师", "")
def normalize_province(value: object) -> str:
text = str(value or "").strip()
mapping = {
"北京市": "北京",
"天津市": "天津",
"上海市": "上海",
"重庆市": "重庆",
"内蒙古自治区": "内蒙古",
"广西壮族自治区": "广西",
"宁夏回族自治区": "宁夏",
"新疆维吾尔自治区": "新疆",
"西藏自治区": "西藏",
"香港特别行政区": "香港",
"澳门特别行政区": "澳门",
"新疆生产建设兵团": "新疆",
}
if text in mapping:
return mapping[text]
if text.endswith("省") and len(text) > 1:
return text[:-1]
return text
def normalize_city(value: object) -> str:
text = str(value or "").strip()
for suffix in ("市", "地区", "盟"):
if text.endswith(suffix) and len(text) > len(suffix):
return text[: -len(suffix)]
return text
def split_phones(value: object) -> List[str]:
return re.findall(r"1\d{10}", str(value or ""))
def unique_phones(records: Sequence[LawyerRecord]) -> List[str]:
output: List[str] = []
seen = set()
for record in sorted(records, key=lambda item: (item.create_time, item.id), reverse=True):
if record.phone and record.phone not in seen:
seen.add(record.phone)
output.append(record.phone)
return output
def unique_values(records: Sequence[LawyerRecord], attr: str) -> List[str]:
output: List[str] = []
seen = set()
for record in sorted(records, key=lambda item: (item.create_time, item.id), reverse=True):
value = getattr(record, attr, "")
if value and value not in seen:
seen.add(value)
output.append(value)
return output
def phone_record_sort_key(
record: LawyerRecord,
target_name: object,
target_province: object,
target_city: object,
) -> Tuple[int, int, int]:
score = 0
normalized_target_name = normalize_name(target_name)
normalized_target_province = normalize_province(target_province)
normalized_target_city = normalize_city(target_city)
if normalized_target_name:
if normalize_name(record.name) == normalized_target_name:
score += 400
elif record.name:
score -= 40
if record.law_firm and record.law_firm not in GENERIC_FIRMS:
score += 220
elif record.law_firm:
score += 40
if record.name:
score += 100
if normalized_target_city:
if normalize_city(record.city) == normalized_target_city:
score += 45
elif record.city:
score -= 10
if normalized_target_province:
if normalize_province(record.province) == normalized_target_province:
score += 25
elif record.province:
score -= 5
score += DOMAIN_PRIORITY.get(record.domain, 50)
return score, record.create_time, record.id
def compare_result(original_phones: Sequence[str], candidate_phones: Sequence[str]) -> str:
if not candidate_phones:
return "未匹配"
if not original_phones:
return "原手机号为空"
original_set = set(original_phones)
candidate_set = set(candidate_phones)
if original_set == candidate_set:
return "完全一致"
if original_set & candidate_set:
return "候选包含原手机号"
return "不包含原手机号"
def infer_firm_from_address(address: object, ordered_firms: Sequence[str]) -> str:
normalized_address = normalize_text(address)
if not normalized_address:
return ""
for firm in ordered_firms:
if len(firm) < 4:
continue
if firm in normalized_address:
return firm
return ""
def load_db_indexes() -> Tuple[Dict[str, List[LawyerRecord]], List[str], Dict[str, List[LawyerRecord]]]:
conn = pymysql.connect(**DB_CONFIG)
firm_index: Dict[str, List[LawyerRecord]] = defaultdict(list)
phone_index: Dict[str, List[LawyerRecord]] = defaultdict(list)
try:
with conn.cursor() as cur:
cur.execute(
"""
SELECT id, name, phone, law_firm, province, city, domain, create_time
FROM lawyer
WHERE phone IS NOT NULL
AND phone <> ''
"""
)
for row in cur.fetchall():
record = LawyerRecord(
id=int(row[0]),
name=str(row[1] or "").strip(),
phone=str(row[2] or "").strip(),
law_firm=str(row[3] or "").strip(),
province=str(row[4] or "").strip(),
city=str(row[5] or "").strip(),
domain=str(row[6] or "").strip(),
create_time=int(row[7] or 0),
)
phone_index[record.phone].append(record)
normalized_firm = normalize_firm(record.law_firm)
if normalized_firm:
firm_index[normalized_firm].append(record)
finally:
conn.close()
ordered_firms = sorted(firm_index.keys(), key=len, reverse=True)
return firm_index, ordered_firms, phone_index
def build_phone_backfill(
original_phone: object,
name: object,
province: object,
city: object,
phone_index: Dict[str, List[LawyerRecord]],
) -> PhoneBackfill:
def pick_best_name(records: Sequence[LawyerRecord], target_name: object) -> str:
normalized_target_name = normalize_name(target_name)
if normalized_target_name:
for item in records:
if item.name and normalize_name(item.name) == normalized_target_name:
return item.name
for item in records:
if item.name:
return item.name
return ""
records: List[LawyerRecord] = []
seen_ids = set()
for phone in split_phones(original_phone):
for record in phone_index.get(phone, []):
if record.id in seen_ids:
continue
seen_ids.add(record.id)
records.append(record)
sorted_records = sorted(
records,
key=lambda item: phone_record_sort_key(item, name, province, city),
reverse=True,
)
candidate_names = unique_values(sorted_records, "name")
candidate_firms = unique_values(
[item for item in sorted_records if item.law_firm and item.law_firm not in GENERIC_FIRMS],
"law_firm",
)
if not candidate_firms:
candidate_firms = unique_values(
[item for item in sorted_records if item.law_firm],
"law_firm",
)
candidate_domains = unique_values(sorted_records, "domain")
matched_phones = unique_values(sorted_records, "phone")
best_name = pick_best_name(sorted_records, name)
best_law_firm = ""
best_domain = ""
preferred_name = normalize_name(name) or normalize_name(best_name)
for record in sorted_records:
if not record.law_firm or record.law_firm in GENERIC_FIRMS:
continue
if preferred_name and normalize_name(record.name) != preferred_name:
continue
best_law_firm = record.law_firm
best_domain = record.domain
break
if not best_law_firm:
for record in sorted_records:
if record.law_firm and record.law_firm not in GENERIC_FIRMS:
best_law_firm = record.law_firm
best_domain = record.domain
break
if not best_domain and sorted_records:
best_domain = sorted_records[0].domain
return PhoneBackfill(
matched_phones=matched_phones,
records=sorted_records,
best_name=best_name,
best_law_firm=best_law_firm,
best_domain=best_domain,
candidate_names=candidate_names,
candidate_firms=candidate_firms,
candidate_domains=candidate_domains,
)
def match_row(
name: object,
original_phone: object,
law_firm: object,
province: object,
city: object,
address: object,
phone_backfill: PhoneBackfill,
firm_index: Dict[str, List[LawyerRecord]],
ordered_firms: Sequence[str],
) -> Tuple[str, str, List[LawyerRecord]]:
def add_method(part: str, method_parts: List[str]) -> None:
if part and part not in method_parts:
method_parts.append(part)
matched_firm = normalize_firm(law_firm)
used_phone_backfill_firm = False
inferred_from_address = False
if not matched_firm:
matched_firm = normalize_firm(phone_backfill.best_law_firm)
used_phone_backfill_firm = bool(matched_firm)
if not matched_firm:
matched_firm = infer_firm_from_address(address, ordered_firms)
inferred_from_address = bool(matched_firm)
if not matched_firm:
return "", "无可用律所名", []
candidates = firm_index.get(matched_firm, [])
if not candidates:
return matched_firm, "数据库无此律所", []
method_parts = ["律所"]
chosen = list(candidates)
normalized_name = normalize_name(name)
if not normalized_name:
normalized_name = normalize_name(phone_backfill.best_name)
if normalized_name:
name_filtered = [item for item in chosen if normalize_name(item.name) == normalized_name]
if name_filtered:
chosen = name_filtered
add_method("姓名", method_parts)
if len(unique_phones(chosen)) != 1:
normalized_province = normalize_province(province)
normalized_city = normalize_city(city)
if normalized_province and normalized_city:
province_city_filtered = [
item
for item in chosen
if normalize_province(item.province) == normalized_province
and normalize_city(item.city) == normalized_city
]
if province_city_filtered:
chosen = province_city_filtered
add_method("省份", method_parts)
add_method("城市", method_parts)
if len(unique_phones(chosen)) != 1 and normalized_city:
city_filtered = [
item for item in chosen if normalize_city(item.city) == normalized_city
]
if city_filtered:
chosen = city_filtered
add_method("城市", method_parts)
if len(unique_phones(chosen)) != 1 and normalized_province:
province_filtered = [
item
for item in chosen
if normalize_province(item.province) == normalized_province
]
if province_filtered:
chosen = province_filtered
add_method("省份", method_parts)
method = "+".join(method_parts)
if used_phone_backfill_firm:
method = "手机号回填律所|" + method
elif inferred_from_address:
method = "地址推断律所|" + method
return matched_firm, method, chosen
def autosize_columns(ws) -> None:
for column_cells in ws.columns:
values = [str(cell.value or "") for cell in column_cells]
max_length = min(max((len(value) for value in values), default=0), 60)
column_letter = column_cells[0].column_letter
ws.column_dimensions[column_letter].width = max_length + 2
def iter_input_rows(ws) -> Iterable[Tuple[int, List[object]]]:
for row_idx in range(1, ws.max_row + 1):
yield row_idx, [ws.cell(row_idx, col_idx).value for col_idx in range(1, 8)]
def build_output(input_path: str, output_path: str) -> Dict[str, int]:
workbook = load_workbook(input_path)
source_ws = workbook.active
firm_index, ordered_firms, phone_index = load_db_indexes()
out_wb = Workbook()
out_ws = out_wb.active
out_ws.title = "firm_phone_compare"
headers = [
"原始行号",
"原姓名",
"原手机号",
"原律所",
"原省份",
"原城市",
"原地址",
"原备注",
"手机号命中记录数",
"手机号命中手机号",
"手机号补全姓名",
"手机号补全律所",
"手机号补全来源",
"手机号候选姓名",
"手机号候选律所",
"用于匹配的律所",
"匹配方式",
"数据库候选手机号",
"候选数量",
"原手机号对比",
"数据库候选姓名",
"数据库候选省市",
"数据库来源",
]
out_ws.append(headers)
for cell in out_ws[1]:
cell.font = Font(bold=True)
stats = defaultdict(int)
for row_idx, row in iter_input_rows(source_ws):
name, original_phone, law_firm, province, city, address, remark = row
needs_phone_completion = not normalize_firm(law_firm)
phone_backfill = build_phone_backfill(
original_phone=original_phone,
name=name,
province=province,
city=city,
phone_index=phone_index,
)
matched_firm, method, matched_records = match_row(
name=name,
original_phone=original_phone,
law_firm=law_firm,
province=province,
city=city,
address=address,
phone_backfill=phone_backfill,
firm_index=firm_index,
ordered_firms=ordered_firms,
)
candidate_phones = unique_phones(matched_records)
compare = compare_result(split_phones(original_phone), candidate_phones)
candidate_names = unique_values(matched_records, "name")
candidate_domains = unique_values(matched_records, "domain")
city_province_pairs = []
seen_pairs = set()
for record in matched_records:
pair = f"{record.province}-{record.city}".strip("-")
if pair and pair not in seen_pairs:
seen_pairs.add(pair)
city_province_pairs.append(pair)
out_ws.append(
[
row_idx,
name or "",
original_phone or "",
law_firm or "",
province or "",
city or "",
address or "",
remark or "",
len(phone_backfill.records) if needs_phone_completion else "",
" / ".join(phone_backfill.matched_phones) if needs_phone_completion else "",
phone_backfill.best_name if needs_phone_completion else "",
phone_backfill.best_law_firm if needs_phone_completion else "",
phone_backfill.best_domain if needs_phone_completion else "",
" / ".join(phone_backfill.candidate_names) if needs_phone_completion else "",
" / ".join(phone_backfill.candidate_firms) if needs_phone_completion else "",
matched_firm or "",
method or "",
" / ".join(candidate_phones) or "",
len(candidate_phones),
compare,
" / ".join(candidate_names) or "",
" / ".join(city_province_pairs) or "",
" / ".join(candidate_domains) or "",
]
)
if needs_phone_completion and phone_backfill.records:
stats["phone_backfill_hit_rows"] += 1
if needs_phone_completion and phone_backfill.best_name:
stats["phone_backfill_name_rows"] += 1
if needs_phone_completion and phone_backfill.best_law_firm:
stats["phone_backfill_firm_rows"] += 1
if needs_phone_completion and method.startswith("手机号回填律所|"):
stats["phone_backfill_used_for_match_rows"] += 1
if candidate_phones:
stats["matched_rows"] += 1
if len(candidate_phones) == 1:
stats["unique_rows"] += 1
else:
stats["multi_rows"] += 1
else:
stats["unmatched_rows"] += 1
if compare == "完全一致":
stats["same_rows"] += 1
elif compare == "候选包含原手机号":
stats["contains_rows"] += 1
elif compare == "不包含原手机号":
stats["diff_rows"] += 1
elif compare == "原手机号为空":
stats["blank_phone_rows"] += 1
out_ws.freeze_panes = "A2"
autosize_columns(out_ws)
out_wb.save(output_path)
return dict(stats)
def main() -> None:
args = parse_args()
stats = build_output(args.input, args.output)
print(f"已生成: {args.output}")
for key in sorted(stats):
print(f"{key}={stats[key]}")
if __name__ == "__main__":
main()
config.py
+28 -33
View File
@@ -7,48 +7,43 @@ DB_CONFIG = {
"charset": "utf8mb4",
}
# 高德地图 API 配置
GAODE_CONFIG = {
"API_KEY": "f261575fb28003761c433f6c9379e89d",
}
# 微信爬虫特定的配置
WEIXIN_CONFIG = {
"TOKEN": "756858506", # 您的Token
"FINGERPRINT": "1caa5fc52ac489e20a175e153dd3ef21",
"TOKEN": "553117235", # 您的Token
"FINGERPRINT": "3c02c35093184e9a9a668ac3c81e53f9",
"COOKIE": {
"appmsglist_action_3258147150": "card",
"_qimei_uuid42": "1a302160d051008226aec905b63f99ff3989f30009",
"_qimei_i_3": "63b22b84c15204dfc595ac6452d722b1f0bdf0f6145b568ae68a7c0e70947438686637943989e2a1d792",
"_qimei_h38": "215986ce26aec905b63f99ff0200000e81a302",
"ua_id": "S7gglu0eZh9NkAzLAAAAADH8dynpnFZVN29lxm7BQo0=",
"wxuin": "73074968761097",
"mm_lang": "zh_CN",
"ts_uid": "8295434560",
"markHashId_L": "417c7f0e-5d9f-4048-b844-28f78ed2a838",
"_qimei_uuid42": "19b0d0b0c2d100de3df57d2afbc5018a9b4ae103e1",
"_qimei_i_3": "59c5508a935b04dac7c1ab340fd172b5a5eba4f7160d5683e2867a5a7094713e616364943989e2a29e9f",
"_qimei_h38": "b885c955f8e9995f103aac140200000421811e",
"_qimei_i_1": "4ddd76d09d525588c892fb6653d17ae9feebf2f0125852d3e78e2c582493206c616333973981e3dd83abc2e0",
"_qpsvr_localtk": "0.2780749298744084",
"RK": "ZGEMOpzbOS",
"ptcz": "90084a2b43c84a92d1b9082da98fd0e92369fcde4f2edbbc85661539c7917055",
"pac_uid": "0_HXj3iphPm0Y4a",
"_qimei_fingerprint": "bd1870aaecd7a9bb84aa53b9ad9a2c55",
"rewardsn": "",
"wxtokenkey": "777",
"omgid": "0_HXj3iphPm0Y4a",
"sig_login": "h01218fdccf5b63c15a6c5edb19ce20d0481c52723ee44ab56b9fc1415ff39c9ff0dd2000e12f1de8ae",
"ua_id": "QXSOTQUjDFjoH63yAAAAAPILc15EwzRTwdqntEiCGSE=",
"mp_token": "1331492699",
"appletToken": "2105598806",
"__wx_phantom_mark__": "breQbE92JS",
"mmad_session": "2bd2e1824d701b521c16fa35de0378e55273ce93a68ac0cc9ca30e8ad5b2e9f6fc419dd5fed1cd17f0a57fc3c327e03ccf325c1e1e97dde41374a9d8067d9aa700c8b87a29b0d3caf7f949761d8f4eeb56a1e3ddbc5a5d3a573e5b83971cd92e11de1c56c245721266e7088080fefde3",
"pgv_info": "ssid=s5739471549",
"pgv_pvid": "2616937300",
"_gcl_au": "1.1.954868153.1769494261",
"wxuin": "69676812527831",
"_clck": "3258147150|1|g35|0",
"uuid": "e07aa2889db56b1901e1fb6b1286d9a7",
"rand_info": "CAESIBnfIxLJoUVe5wP4SI/ADWnrnPUBlJDb4yyA7Et1+ZfF",
"eas_sid": "91X7I7K4K5k364U2z3k2I980F5",
"_qimei_q36": "",
"_qimei_fingerprint": "d895c46d5fda98cab67d9daec00068ed",
"_qimei_i_1": "4dc76680945f59d3c7c4ab325dd526b3feeea1a31458558bbdd97e582493206c6163629d39d8e1dcd4b2c28f",
"pgv_pvid": "6923507145",
"ts_uid": "9585717820",
"_t_qbtool_uid": "aaaa2vn5byd280l00iglw701zci788cb",
"_ga": "GA1.1.1323926288.1775838938",
"_ga_TPFW0KPXC1": "GS2.1.s1775841484$o2$g1$t1775841485$j59$l0$h0",
"uuid": "20d1cfb540221c6e7b6d665ab1d4a8f7",
"rand_info": "CAESIA8LYV6dvWh5dYrgQLPhZb8TXwUJoWdcdDzN0TTdztSj",
"slave_bizuin": "3258147150",
"data_bizuin": "3258147150",
"bizuin": "3258147150",
"data_ticket": "kv+SnLJADgPlcKQPIbYnfbEAxogpIMfAo/n0/HjtChnfDmQSogWvkO82/mUtzpcc",
"slave_sid": "eFNMcEZ3bnhvRkppZVNkTDE4dFFnM0ZzdFM1REhpemZORHRnVnlnRHhKU29vY1ZBY0dJZkFHcXB5Nko4aV9pbVlnRTBRVDE0NzdIUDF4T3NTSDVzdXBJS2d3WFFuR3hiMWVVbG5ZTURfYmh3YTFTallIb2JXOWpyTWxXS25jbVFRVmtXWHVaWGdCN2lqZzVm",
"data_ticket": "dgLFmSrI8f1q6JnYOd2Y/sKJIWjh6YlLSau1n1+Mv5iOTR5hgsm1qjNLypWflGd6",
"slave_sid": "VGVnNmM5NmFpV19ESElmVlZOTGZfVVJfWE5HanlHNjN0WEswZVkxVk9vc2FTenQzVGRsWUxDT0xGQVBJRVZzU0JNVV9RckRJVE9jSVUwbjl4Z2VHaEZKSzE5WVc3THRCRW96T0Z1V1VwbnBLSnkxSWdKaHdaN1dYdzI1SmdpZ0IyOFJtUE45OTR2Q2NvM1FB",
"slave_user": "gh_fe76760560d0",
"xid": "34f577adf2c28e5b9f04de93c614c5c4",
"_clsk": "639w4k|1769742296130|3|1|mp.weixin.qq.com/weheat-agent/payload/record"
"xid": "4893c62dc8518b6a1628fd34bc9aa276",
"_clck": "3258147150|1|g5g|0",
"_clsk": "1p4oo3h|1776957001796|5|1|mp.weixin.qq.com/weheat-agent/payload/record"
},
"COUNT": 20, # 单页条数
"REQUESTS_PER_SECOND": 8, # 每秒最大请求数（调高更快，但有风控风险）
docker-compose.yml
+14
View File
@@ -0,0 +1,14 @@
services:
mongodb:
image: mongo:7
container_name: lawyers_mongodb
restart: always
ports:
- "27017:27017"
volumes:
- mongodb_data:/data/db
environment:
MONGO_INITDB_DATABASE: lawyer
volumes:
mongodb_data:
gaode.py
+9 -3
View File
@@ -23,6 +23,7 @@ if project_root not in sys.path:
sys.path.append(project_root)
from Db import Db # 你的 DB 封装
import config as project_config
# logging 配置
logging.basicConfig(
@@ -45,9 +46,14 @@ class GaodeSpider:
sleep_between_cities: float = 3.0,
):
self.db = db_connection
self.api_key = (api_key or os.environ.get("AMAP_API_KEY", "")).strip()
config_api_key = ""
gaode_config = getattr(project_config, "GAODE_CONFIG", None)
if isinstance(gaode_config, dict):
config_api_key = str(gaode_config.get("API_KEY", "")).strip()
self.api_key = (api_key or os.environ.get("AMAP_API_KEY", "") or config_api_key).strip()
if not self.api_key:
raise ValueError("AMAP_API_KEY environment variable is required")
raise ValueError("高德 API Key 未配置，请在 config.py 的 GAODE_CONFIG.API_KEY 或环境变量 AMAP_API_KEY 中填写")
self.api_base = "https://restapi.amap.com/v3/place/text"
self.offset = offset
self.session = self._build_session()
@@ -369,7 +375,7 @@ class GaodeSpider:
return
total_stored = 0
keywords_suffix = "律所"
keywords_suffix = "律师"
for city_id, city_info in self.cities.items():
try:
man.xlsx
BIN
View File
Binary file not shown.
man_firm_phone_compare.xlsx
BIN
View File
Binary file not shown.
request/proxy_config.py
+42 -2
View File
@@ -24,6 +24,19 @@ def _normalize_bool(value, default: bool = True) -> bool:
return text not in ("0", "false", "no", "off", "")
def _env_proxy_override() -> Optional[bool]:
"""
环境变量覆盖代理开关：
- PROXY_ENABLED 未设置：返回 None（不覆盖，仍读取 proxy_settings.json）
- PROXY_ENABLED=0/false/off：强制关闭代理
- PROXY_ENABLED=1/true/on：强制开启代理（前提是配置字段齐全）
"""
raw = os.getenv("PROXY_ENABLED")
if raw is None:
return None
return _normalize_bool(raw, True)
def _load_config() -> Dict[str, str]:
if not os.path.exists(CONFIG_PATH):
return dict(DEFAULT_CONFIG)
@@ -48,7 +61,12 @@ def report_proxy_status() -> None:
_PROXY_STATUS_REPORTED = True
config = _load_config()
enabled = _normalize_bool(config.get("enabled"), True)
override = _env_proxy_override()
if override is False:
print("[proxy] disabled by env (PROXY_ENABLED=0)")
return
enabled = _normalize_bool(config.get("enabled"), True) if override is None else True
if not enabled:
print("[proxy] disabled by config")
return
@@ -66,7 +84,10 @@ def get_proxies() -> Optional[Dict[str, str]]:
代理配置从 proxy_settings.json 读取，不依赖环境变量。
"""
config = _load_config()
if not _normalize_bool(config.get("enabled"), True):
override = _env_proxy_override()
if override is False:
return None
if override is None and not _normalize_bool(config.get("enabled"), True):
return None
tunnel = str(config.get("tunnel") or "").strip()
@@ -95,3 +116,22 @@ def apply_proxy(session) -> Optional[Dict[str, str]]:
__all__ = ["get_proxies", "apply_proxy", "report_proxy_status"]
def is_proxy_enabled() -> bool:
"""
判断当前进程是否启用了代理。
优先遵循环境变量 PROXY_ENABLED；
未设置时回退到 proxy_settings.json 的 enabled 配置。
"""
config = _load_config()
override = _env_proxy_override()
if override is False:
return False
if override is True:
return True
return _normalize_bool(config.get("enabled"), True)
__all__ = ["get_proxies", "apply_proxy", "report_proxy_status", "is_proxy_enabled"]
utils/rate_limiter.py
+19
View File
@@ -14,6 +14,7 @@ from pathlib import Path
from uuid import uuid4
import fcntl
from request.proxy_config import is_proxy_enabled
class RateLimiter:
@@ -167,13 +168,27 @@ global_rate_limiter = RateLimiter(
)
def _should_limit_proxy_requests() -> bool:
"""
仅在当前进程实际启用代理时启用全局代理限流。
"""
try:
return is_proxy_enabled()
except Exception:
return True
def wait_for_request():
"""等待直到可以发起请求。"""
if not _should_limit_proxy_requests():
return
global_rate_limiter.acquire()
def can_request_now() -> bool:
"""检查是否可以立即发起请求。"""
if not _should_limit_proxy_requests():
return True
return global_rate_limiter.can_make_request()
@@ -184,6 +199,10 @@ def request_slot():
这样既能限制“每秒启动多少请求”，也能限制“同时在飞多少请求”。
"""
if not _should_limit_proxy_requests():
yield
return
token = global_rate_limiter.try_acquire_slot()
try:
yield
weixin.py
+76 -54
View File
@@ -1,3 +1,4 @@
import copy
import json
import os
import re
@@ -26,64 +27,73 @@ DEFAULT_HEADERS = {
"User-Agent": (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/138.0.0.0 Safari/537.36"
"Chrome/146.0.0.0 Safari/537.36"
),
"Accept": "*/*",
"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8,zh-TW;q=0.7",
"DNT": "1",
"Priority": "u=1, i",
"Sec-CH-UA": '"Chromium";v="146", "Not-A.Brand";v="24", "Google Chrome";v="146"',
"Sec-CH-UA-Mobile": "?0",
"Sec-CH-UA-Platform": '"Windows"',
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"X-Requested-With": "XMLHttpRequest",
}
DEFAULT_WEIXIN_CONFIG = {
"TOKEN": "32299576",
"FINGERPRINT": "64a1c659b8b944d6e7fe596b0794ab35",
"TOKEN": "609153506",
"FINGERPRINT": "46a7e6ac6ccf205986adc0aa99127860",
"COOKIE": {
"appmsglist_action_3876849679": "card",
"appmsglist_action_3258147150": "card",
"_qimei_uuid42": "1a302160d051008226aec905b63f99ff3989f30009",
"_qimei_i_3": "63b22b84c15204dfc595ac6452d722b1f0bdf0f6145b568ae68a7c0e70947438686637943989e2a1d792",
"_qimei_h38": "215986ce26aec905b63f99ff0200000e81a302",
"ua_id": "S7gglu0eZh9NkAzLAAAAADH8dynpnFZVN29lxm7BQo0=",
"wxuin": "73074968761097",
"mm_lang": "zh_CN",
"ts_uid": "8295434560",
"markHashId_L": "417c7f0e-5d9f-4048-b844-28f78ed2a838",
"_qimei_uuid42": "19b0d0b0c2d100de3df57d2afbc5018a9b4ae103e1",
"_qimei_i_3": "59c5508a935b04dac7c1ab340fd172b5a5eba4f7160d5683e2867a5a7094713e616364943989e2a29e9f",
"_qimei_h38": "b885c955f8e9995f103aac140200000421811e",
"RK": "ZGEMOpzbOS",
"ptcz": "90084a2b43c84a92d1b9082da98fd0e92369fcde4f2edbbc85661539c7917055",
"pac_uid": "0_HXj3iphPm0Y4a",
"_qimei_fingerprint": "bd1870aaecd7a9bb84aa53b9ad9a2c55",
"wxuin": "70085167371972",
"omgid": "0_HXj3iphPm0Y4a",
"rewardsn": "",
"wxtokenkey": "777",
"sig_login": "h017c22e8921e6bf5a1f8659d9f34ee0db2be31cdcf03786b9ab4b787a9821ad84d3046473d9076181a",
"_qpsvr_localtk": "0.9079082151544442",
"appletToken": "880792228",
"mmad_session": "ae5215dd3c930e6256d8f0656bd8497e719817e0df77a677766e128e2135218486f674b88b349db0d47039f54cb99c8753beb8d4b921ae452b66773db51ad3006ab1f0d19253ae83e2cb9ba53ff5b5b4f45f2fe160db66fd300a1fb4e04a92bd11de1c56c245721266e7088080fefde3",
"qq_domain_video_guid_verify": "6cce52525a146907",
"eas_sid": "91X7I7K4K5k364U2z3k2I980F5",
"_qimei_q36": "",
"pgv_info": "ssid=s4741843528",
"pgv_pvid": "9337874960",
"_qimei_i_2": "47e96bdff700",
"_qimei_i_1": "40bb51d09d525588c892fb6653d17ae9feebf2f0125852d3e78e2c582493206c616333973981e3dd838fd0da",
"_qimei_q32": "",
"mp_token": "1555009133",
"ua_id": "390pNywJFJA6BsgOAAAAADO0TqlmW7NBB1GD0Y7OVwk=",
"__wx_phantom_mark__": "UTRZE71JZ7",
"_clck": "3841887471|1|g4a|0",
"uuid": "6ae7cb97104627c5d3b9d1d9ab2eef60",
"rand_info": "CAESIGjvJyiJ58Ii0enQVKBwl6d4IyCrWeN7kzhIAVTgM2lc",
"slave_bizuin": "3876849679",
"data_bizuin": "3876849679",
"bizuin": "3876849679",
"data_ticket": "8wg11/LIrTLHAbJdbAH2HWdqlW/K2jijwP27oPSrH2myYNpuSR1NedfmSbzeq5go",
"slave_sid": "TjBzVV83WThEaThRdUhlcFpqRFhQejFSUzRfOWdGa0l3S0dPSW41QWdkSk9qSkQ2ZTljbWRHa0poQ1lNTXlub25WMUJORVluVU5HaFBGRXVJS19yeG53SUNWWU14YjNQeWpxTUczalBHV1dTY0V3TDZ6aE14bFNaS2ExeGNhb3J0WlRWMlM4NnNmNGFST0ZD",
"slave_user": "gh_6c1283858808",
"xid": "116378d10877a35558158970698ca0c3",
"_clsk": "3okzsf|1773282377657|6|1|mp.weixin.qq.com/weheat-agent/payload/record"
},
"COUNT": 20,
"_qimei_fingerprint": "d895c46d5fda98cab67d9daec00068ed",
"_clck": "501quy|1|g4t|0",
"uuid": "210d1c199a63afd4c774eccd9a06a27f",
"rand_info": "CAESIE4WqrFFVVjqrrNflbCUM7wPD5NXjuGbjfHolAEsMmEm",
"slave_bizuin": "3258147150",
"data_bizuin": "3258147150",
"bizuin": "3258147150",
"data_ticket": "tpcLjRB7B7AlUY3rFe/ILEjtCKs7dEEGsn8kXnHVzdTb9dgIpSPN1aP8FlE6FDhj",
"slave_sid": "U3hfU1Z0UV91N0U5d0lkRDhyTzh3d3hmbnBHMjBnbmFNdzVJeGlJeTJ6OTVxRjJQVVE2VkNhejYzTkxETVVSZkF3eWRORmtRS01XWFBjdnFZZWFLNjR2ZGtwdUJ2MzByclg0NjF4SHlDeVJneEhsczdSYUJVNE45VEhNRWVTQXg1dlpGdWQ0bU5VM3pnRzJN",
"slave_user": "gh_fe76760560d0",
"xid": "ef503a6864cceaef225c615a45606e4a",
"_clsk": "12arnf1|1774975723874|4|1|mp.weixin.qq.com/weheat-agent/payload/record",
"_qimei_i_1": "2ddc6a80945f59d3c7c4ab325dd526b3feeea1a31458558bbdd97e582493206c6163629d39d8e1dcd49fddc7"
},
"COUNT": 21,
"REFERER": "https://mp.weixin.qq.com/",
"HEADERS": {},
"REQUEST_PARAMS": {
"action": "search",
"scene": "1",
"lang": "zh_CN",
"f": "json",
"ajax": "1",
},
"REQUESTS_PER_SECOND": 5,
"PAGE_DELAY": 5,
"CITY_DELAY": 2,
}
def _deep_merge_dict(base: Dict, incoming: Dict) -> Dict:
merged = copy.deepcopy(base)
for key, value in incoming.items():
if isinstance(value, dict) and isinstance(merged.get(key), dict):
merged[key] = _deep_merge_dict(merged[key], value)
else:
merged[key] = value
return merged
def _parse_cookie_value(cookie_value) -> Dict[str, str]:
if isinstance(cookie_value, dict):
return {str(key): str(value) for key, value in cookie_value.items()}
@@ -110,15 +120,16 @@ def _parse_cookie_value(cookie_value) -> Dict[str, str]:
def _load_weixin_config() -> Dict:
config = DEFAULT_WEIXIN_CONFIG.copy()
config = copy.deepcopy(DEFAULT_WEIXIN_CONFIG)
module_config = getattr(project_config, "WEIXIN_CONFIG", None)
if isinstance(module_config, dict):
config.update(module_config)
config = _deep_merge_dict(config, module_config)
env_mapping = {
"TOKEN": os.getenv("WEIXIN_TOKEN"),
"FINGERPRINT": os.getenv("WEIXIN_FINGERPRINT"),
"COOKIE": os.getenv("WEIXIN_COOKIE"),
"REFERER": os.getenv("WEIXIN_REFERER"),
"COUNT": os.getenv("WEIXIN_COUNT"),
"REQUESTS_PER_SECOND": os.getenv("WEIXIN_REQUESTS_PER_SECOND"),
"PAGE_DELAY": os.getenv("WEIXIN_PAGE_DELAY"),
@@ -161,17 +172,32 @@ class WeixinSpider:
self.fingerprint = str(self.config.get("FINGERPRINT", "")).strip()
self.cookies = self.config.get("COOKIE", {})
self.count = str(self.config.get("COUNT", DEFAULT_WEIXIN_CONFIG["COUNT"]))
self.referer = str(self.config.get("REFERER", DEFAULT_WEIXIN_CONFIG["REFERER"])).strip()
self.request_params = {
str(key): str(value)
for key, value in (self.config.get("REQUEST_PARAMS", {}) or {}).items()
if value is not None
}
self.page_delay = max(0.0, float(self.config.get("PAGE_DELAY", DEFAULT_WEIXIN_CONFIG["PAGE_DELAY"])))
self.city_delay = max(0.0, float(self.config.get("CITY_DELAY", DEFAULT_WEIXIN_CONFIG["CITY_DELAY"])))
max_rps = self.config.get("REQUESTS_PER_SECOND")
if max_rps:
global_rate_limiter.max_requests = int(max_rps)
headers = getattr(project_config, "HEADERS", DEFAULT_HEADERS).copy()
headers["Referer"] = "https://mp.weixin.qq.com/"
headers = DEFAULT_HEADERS.copy()
project_headers = getattr(project_config, "HEADERS", None)
if isinstance(project_headers, dict):
headers.update(project_headers)
config_headers = self.config.get("HEADERS", {})
if isinstance(config_headers, dict):
headers.update({str(key): str(value) for key, value in config_headers.items()})
if self.referer:
headers["Referer"] = self.referer
self.session = requests.Session()
self.session.trust_env = False
self.session.headers.update(headers)
if self.cookies:
self.session.cookies.update(self.cookies)
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
def _validate_runtime_config(self) -> bool:
@@ -214,18 +240,14 @@ class WeixinSpider:
return []
def _build_query_url(self, query: str, buffer: str) -> str:
params = {
"action": "search",
"scene": "1",
params = self.request_params.copy()
params.update({
"query": query,
"count": self.count,
"buffer": buffer,
"fingerprint": self.fingerprint,
"token": self.token,
"lang": "zh_CN",
"f": "json",
"ajax": "1",
}
})
return f"{API_ENDPOINT}?{urlencode(params)}"
def _extract_phone(self, text: str) -> Optional[str]: