Python bindings for observer-ward
Project description
observer-ward-py
Python绑定库，用于web技术指纹识别。这是ObserverWard项目中observer-ward库的Python接口。
安装
- 请看 BUILDING.md文件
用法
基本用法
import os
from observer_ward import ObserverWard
with open('examples/test_fingerprints.json', 'r') as f:
content = f.read()
# 初始化ObserverWard对象
# 不提供参数时，会尝试从默认位置加载指纹库
observer_ward = ObserverWard(content)
# 从HTML内容识别web技术
html_content = """
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="generator" content="WordPress 5.8.2">
<title>示例网页</title>
</head>
<body>
<div class="container">
<h1>Hello World</h1>
</div>
</body>
</html>
"""
# 提供HTTP头 (可选)
headers = [
("Server", "nginx/1.18.0"),
("X-Powered-By", "PHP/7.4.0")
]
# 执行指纹识别
results = observer_ward.execute(html_content, headers)
# 打印匹配结果
for result in results:
print(f"名称: {result['name']}")
print(f"模板: {result['template']}")
print(f"标签: {', '.join(result['tags'])}")
print(f"匹配关键词: {', '.join(result['matcher_names'])}")
if result['extractor']:
print("提取数据:")
for key, values in result['extractor'].items():
print(f" {key}: {values}")
print("-" * 40)
使用自定义指纹库
from observer_ward import ObserverWard
import json
# 读取自定义指纹库
with open("my_fingerprints.json", "r") as f:
json_content = f.read()
# 使用自定义指纹库初始化ObserverWard
observer_ward = ObserverWard(json_content)
# 执行指纹识别
results = observer_ward.execute(html_content, headers)
# 打印结果
print(f"找到 {len(results)} 个匹配结果")
for result in results:
print(f"名称: {result['name']}")
# ...其他处理代码
构建开发版本
cd python
maturin develop
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
observer_ward-0.1.0.tar.gz
(86.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file observer_ward-0.1.0.tar.gz.
File metadata
- Download URL: observer_ward-0.1.0.tar.gz
- Upload date:
- Size: 86.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.10.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cf0f917d40f6ecef2ad26524a75d010b60ee62358bea8696c6ce755b3da8cb61
|
|
| MD5 |
2783f41812c85659a2e9659d0febf854
|
|
| BLAKE2b-256 |
d7979adf02e0613214d4127e790ab22f8c66e52118dee0ad8094d20c9d7ce1b2
|
File details
Details for the file observer_ward-0.1.0-cp313-cp313-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: observer_ward-0.1.0-cp313-cp313-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 1.0 MB
- Tags: CPython 3.13, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.10.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a231bc50d7d8579f34cf81beb85daa11d5db404e5d1438f838e2afdaba16761a
|
|
| MD5 |
80dae76bc5cb34fbc365f5d1f8a27d40
|
|
| BLAKE2b-256 |
0d125d5a9d605fa1bfbdd9bbdc6c5743d8eba5de16cdd58a4ad47d4ea694aef6
|
