上传问题改写、意图识别模块代码

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2025-05-27 09:48:03 +08:00
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import os
import random
import time
from typing import List, Optional, Dict
from threading import Lock
API_KEY_LIST=[
"sk-xxaiabmfhzwwpijuledllkmkzhzwsqeicjxmjwnvriqpwmpk",
"sk-lldcprpqjhgdimiwewgbthngfbrazhkiuioubmaatrcpjjum",
"sk-bppugibbtvujomvoysnbcdzpcwndxtwrkfvmgbkbzcmobdon",
"sk-hnqitgdlfrrnpimcfxigqibstqquintnzpiidsshpajjyxqd",
"sk-hrojkkkrrkmsajtnizokbcgexsfggdiqavbtvbayuwqbnmom",
"sk-kkdklmnyompoiotzkfqahpayzlkgogfudjkyaebehtsowvid",
"sk-sfxzvllifafbyfduupcdtcrjwhdyiyojnksyopnfslurnhsp",
"sk-faqirxiszukfswqvzqawxnemqfacrkyurbxxkzwbbujqacdp",
"sk-vonaanuueqiczppkntjuphateshrcpqpnvxmwxorkyihjmrb",
"sk-qfpeoodgupcukcdstjcxgegwxnuhtxkkrupkogkcvhavxgny",
"sk-fsvjnbpfgoadixympaabaukupuhjvbturcbxaqfdzjznemtr",
"sk-fltvnbiqntfawjwkfnnhmyfiimzgzxkweqmefcfqkbucwrhi",
"sk-oosswdriwyqkglwdigvcxgmcpyplcyowicbaugpizoscevdl",
"sk-jswtxhkiralnyiukqimtyuurcaepulxdrfijadtxzrgsajyc",
"sk-dcjuhoukdyrbneadtxtnyxzmigkpiqgtqqnreiprxpioftsv",
"sk-yrhezyuxjblpaxzzudbowqmvcoxcammupcubghbodolikbdk",
"sk-dsgvwpfagmarilmnewwbzhfzlqehburoupjaopucdvybpbdo",
"sk-oljjlspuaurtoczyekztiidwtoerugadgepiufclpmrbdfqc",
"sk-crgrimubjesthvxuqwedqqdoetljyrgeahxxpctfefgnkpyo",
"sk-tubqhwgycxrdhwsqzjopxgeaqpsjdfppckckayvzornaluwq",
"sk-amcxlmsdnadptpnehqnkvseolacipztmvovnmxojzohbjjil",
"sk-pdyymhshpzmdduwxsezthnrgarnnhgzvmiflbpisfzxkiayt",
"sk-qhwoorywmejumyudfxbrkegxtqifsbgcdkmpjckezepgyqnz",
"sk-cpoctrgcnstaybeyuieuwjdgeakudhqdnnwdjavjudcbvvem",
]
class APIKeyManager:
"""
API密钥管理器,用于解析环境变量中的多个API密钥并提供获取接口
支持密钥轮转使用
"""
# 类变量,用于保存单例实例
_instance = None
_lock = Lock()
# 密钥使用计数和上次使用时间
_key_usage: Dict[str, Dict] = {}
# 当前正在使用的密钥索引
_current_index = 0
@classmethod
def get_instance(cls, env_var_name: str = "OPENAI_API_KEY", separator: str = ";"):
"""
获取单例实例
Args:
env_var_name: 环境变量名称,默认为'OPENAI_API_KEY'
separator: 密钥分隔符,默认为分号
Returns:
APIKeyManager实例
"""
if cls._instance is None:
with cls._lock:
if cls._instance is None:
cls._instance = cls(env_var_name, separator)
return cls._instance
@classmethod
def get_api_key(cls) -> Optional[str]:
"""
静态方法:获取一个API密钥,使用轮转策略
Returns:
API密钥,如果没有可用的密钥则返回None
"""
instance = cls.get_instance()
return instance._get_next_api_key()
@classmethod
def get_random_api_key(cls) -> Optional[str]:
"""
静态方法:随机获取一个API密钥
Returns:
API密钥,如果没有可用的密钥则返回None
"""
instance = cls.get_instance()
return instance._get_random_api_key()
@classmethod
def get_valid_api_keys(cls) -> List[str]:
"""
静态方法:获取有效的API密钥列表
Returns:
"""
# 验证每一个apikey是否有效,无效则删除并打印日志。地址https://api.siliconflow.cn/v1/
import requests
import logging
valid_api_keys = []
url = "https://api.siliconflow.cn/v1/chat/completions"
headers_template = {
"Content-Type": "application/json"
}
data = {
"model": "deepseek-ai/DeepSeek-V3",
"messages": [
{"role": "user", "content": "ping"}
],
"max_tokens": 1
}
for key in API_KEY_LIST:
headers = headers_template.copy()
headers["Authorization"] = f"Bearer {key}"
try:
resp = requests.post(url, headers=headers, json=data, timeout=8)
if resp.status_code == 200:
valid_api_keys.append(key)
else:
logging.warning(f"API密钥无效(被移除): {key}, 状态码: {resp.status_code}, 响应: {resp.text}")
except Exception as e:
logging.warning(f"API密钥验证异常(被移除): {key}, 错误: {e}")
return valid_api_keys
@classmethod
def count(cls) -> int:
"""
静态方法:获取API密钥数量
Returns:
API密钥数量
"""
instance = cls.get_instance()
return len(instance.api_keys)
def __init__(self, env_var_name: str = "OPENAI_API_KEY", separator: str = ";"):
"""
初始化API密钥管理器
Args:
env_var_name: 环境变量名称,默认为'OPENAI_API_KEY'
separator: 密钥分隔符,默认为分号
"""
self.env_var_name = env_var_name
self.separator = separator
self.api_keys = self._load_api_keys()
# 初始化密钥使用统计
for key in self.api_keys:
if key not in self._key_usage:
self._key_usage[key] = {
"count": 0,
"last_used": 0
}
def _load_api_keys(self) -> List[str]:
"""
从环境变量加载API密钥
Returns:
API密钥列表
"""
# api_keys = []
# env_value = os.environ.get(self.env_var_name)
# if env_value:
# # 分割环境变量并移除空白字符
# keys = [key.strip() for key in env_value.split(self.separator)]
# # 过滤掉空字符串
# api_keys = [key for key in keys if key]
# return api_keys
return API_KEY_LIST
def _get_next_api_key(self) -> Optional[str]:
"""
获取下一个API密钥,使用轮转策略
Returns:
API密钥,如果没有可用的密钥则返回None
"""
if not self.api_keys:
return None
with self._lock:
# 轮转到下一个密钥
self._current_index = (self._current_index + 1) % len(self.api_keys)
selected_key = self.api_keys[self._current_index]
# 更新使用统计
self._key_usage[selected_key]["count"] += 1
self._key_usage[selected_key]["last_used"] = time.time()
return selected_key
def _get_random_api_key(self) -> Optional[str]:
"""
随机获取一个API密钥
Returns:
API密钥,如果没有可用的密钥则返回None
"""
if not self.api_keys:
return None
with self._lock:
selected_key = random.choice(self.api_keys)
# 更新使用统计
self._key_usage[selected_key]["count"] += 1
self._key_usage[selected_key]["last_used"] = time.time()
return selected_key
def get_all_api_keys(self) -> List[str]:
"""
获取所有API密钥
Returns:
API密钥列表
"""
return self.api_keys.copy()
def is_valid(self) -> bool:
"""
检查是否有可用的API密钥
Returns:
如果有可用的API密钥则返回True,否则返回False
"""
return len(self.api_keys) > 0
def get_usage_stats(self) -> Dict:
"""
获取密钥使用统计信息
Returns:
密钥使用统计信息
"""
return self._key_usage.copy()
# 使用示例
if __name__ == "__main__":
# 获取有效的API密钥列表
valid_keys = APIKeyManager.get_valid_api_keys()
print(f"有效的API密钥列表:\n" + "\n".join(valid_keys))
# 查看总密钥数
print(f"总共有 {APIKeyManager.count()} 个API密钥")
# 获取实例并查看使用统计
instance = APIKeyManager.get_instance()
stats = instance.get_usage_stats()
for key, data in stats.items():
print(f"密钥 {key[:5]}... 使用次数: {data['count']}")
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
File: ModelTool.py
Date: 2025-05-15
Author: oyyz
Description: 模型工具类
"""
from openai import OpenAI
import httpx
import time
import logging # 导入 logging 模块
from langchain.embeddings.base import Embeddings
from typing import List, Any
import requests
import os
import logging
from .APIKeyManager import APIKeyManager
class SiliconFlowEmbeddings(Embeddings):
"""SiliconFlow嵌入模型封装"""
def __init__(self, api_key: str, model: str = "bge-m3"):
self.api_key = api_key
self.model = model
self.url = "http://10.1.16.39:9995/v1/embeddings"
self.headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json"
}
def _embed(self, input: List[str]) -> List[List[float]]:
payload = {
"model": self.model,
"input": input,
"encoding_format": "float"
}
response = requests.post(self.url, json=payload, headers=self.headers)
response.raise_for_status()
data = response.json()
return [item["embedding"] for item in data["data"]]
def embed_documents(self, texts: List[str]) -> List[List[float]]:
return self._embed(texts)
def embed_query(self, text: str) -> List[float]:
return self._embed([text])[0]
class XinferenceReRankerModel:
"""重排模型封装"""
@staticmethod
def rerank(query: str, documents: List[str], top_k: int = 10) -> List[str]:
"""
使用重排序模型对文档进行重新排序
Args:
query: 用户查询文本
documents: 需要重新排序的文档列表
top_k: 返回排序后的前k个文档
Returns:
List[dict]: 重排序后的文档列表,每个元素包含document内容、相关性分数和原始索引
"""
url = "http://10.1.16.39:9995/v1/rerank"
params = {"documents": documents, "query": query, "top_n": top_k, "return_documents": True, "model": os.getenv("RERANKER_MODEL_NAME")}
headers = {
"Authorization": "Bearer <token>", # 这里需要替换为实际的token
"Content-Type": "application/json"
}
try:
response = requests.post(url, json=params, headers=headers)
response.raise_for_status() # 检查响应状态
results = response.json()
# 返回重排序后的文档列表
return [{"document": item["document"]["text"], "score": item["relevance_score"], "index": item["index"]} for item in results["results"]]
except requests.exceptions.RequestException as e:
logging.error(f"重排序请求失败: {str(e)}")
return []
class OpenAiLLM:
def __init__(self, **kwargs):
if kwargs.get("api_key") == None or kwargs.get("base_url") == None or kwargs.get("model") == None:
raise ValueError("api_key, base_url, model 不能为空")
self._api_key = kwargs.get("api_key")
self._url = kwargs.get("base_url")
self._model = kwargs.get("model")
kwargs.pop("api_key")
kwargs.pop("base_url")
kwargs.pop("model")
self._kwargs = kwargs
def invoke(self, user_prompt="你是谁?", need_retry=True):
# 初始化 OpenAI 客户端
api_key = APIKeyManager.get_api_key()
client = OpenAI(api_key=api_key, base_url=self._url)
max_retries = 3
retry_count = 0
if need_retry:
while retry_count < max_retries:
try:
# 创建 Completion 请求. 超时120s
completion = client.chat.completions.create(
model=self._model,
messages=[{'role': 'user', 'content': user_prompt}],
timeout=httpx.Timeout(300.0),
**self._kwargs
)
return completion.choices[0].message
except Exception as e:
retry_count += 1
if retry_count == max_retries:
logging.error(f"LLM 重试{max_retries}次后仍然失败: {e}")
return ""
else:
time.sleep(5*retry_count) # 重试前等待1秒
else:
# 创建 Completion 请求. 超时120s
completion = client.chat.completions.create(
model=self._model,
messages=[{'role': 'user', 'content': user_prompt}],
timeout=httpx.Timeout(300.0),
**self._kwargs
)
return completion.choices[0].message
if __name__ == "__main__":
reranker = XinferenceReRankerModel()
query = "什么是AI"
documents = ["AI是人工智能", "AI是机器学习", "AI是深度学习"]
results = reranker.rerank(query, documents)
print(results)
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import os.path
import requests
import json
import time
from pathlib import Path
class WikijsTool:
BASE_URL = "http://10.1.16.39:8090/graphql"
HEADERS = {
"Authorization": "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJhcGkiOjcsImdycCI6MSwiaWF"
"0IjoxNzIzMDIwNzg4LCJleHAiOjE4MTc2OTM1ODgsImF1ZCI6InVybjp3aWtpLmpzIiwiaX"
"NzIjoidXJuOndpa2kuanMifQ.NSfE4tB7tkN8yapAs0CgkR-Yll6wc3gO3QGKMAv-TlGxx6A-9fJRmkwhRDTVMj_yPVG6"
"NXVy_AZpJtLapRXFGn0cvscsRJxq3fY1KgEyt8wO99jvd8DpNHpHhAIgrtyDelmHsBD2Wb5Ib3WJFsWC6d8Yhm9dkpx6tZ"
"vMAlFIKOg6UodMoMIry3YWiPGLaqJPQ0gcKmcnB2tC7sPXIIZnvfb5912GVM0n-4wvWobQnb_tXQuYZf99wH_leXjC_7BK8"
"8JSaAmB980i3rBxfejmaJ8E6D48zRxwwPFa0veVjjzRkVqHPwAjl1CXb2HE29pGtNmSEE1kLQVqOZD_ibOwKQ"
}
def __init__(self):
pass
@staticmethod
def init_url():
# 获取当前文件的路径
file_path = Path(__file__).resolve()
file_path = os.path.join(file_path.parent, 'wikiconfig.json')
if not os.path.exists(file_path):
return False
with open(file_path, 'r', encoding='utf-8') as file:
data = json.load(file)
if 'url' in data:
WikijsTool.BASE_URL = data['url']
if 'Authorization' in data:
WikijsTool.HEADERS['Authorization'] = data['Authorization']
return True
@staticmethod
def get_all_documents() -> list[dict]:
query = """
query Pages {
pages {
list {
path
locale
title
contentType
id
isPublished
}
}
}
"""
# 构建请求数据
data = {
'query': query,
}
# 发送 POST 请求
response = requests.post(WikijsTool.BASE_URL, headers=WikijsTool.HEADERS, json=data)
if response.status_code == 200:
# 解析数据
list_info = json.loads(response.content)['data']['pages']['list']
return [item for item in list_info]
else:
raise ValueError(f"获取文档列表失败,原因:“{response.text}")
@staticmethod
def get_all_doc_by_path(path: str, path_is_dir: bool = True) -> list[dict]:
list_document = WikijsTool.get_all_documents()
all_document_list = []
if path_is_dir:
temp_path = path + '/'
else:
temp_path = path
for document_info in list_document:
document_path = str(document_info["path"])
# 根据路径过滤出对应的所有文档
if not document_path.startswith(temp_path):
continue
all_document_list.append(document_info)
return all_document_list
@staticmethod
def search_document(query_str: str) -> list[dict]:
graphql_query = f"""
query Pages {{
pages {{
search(query: "{query_str}") {{
results {{
id
path
locale
title
}}
}}
}}
}}
"""
# 构建请求数据
data = {
'query': graphql_query,
}
# 发送 POST 请求
response = requests.post(WikijsTool.BASE_URL, headers=WikijsTool.HEADERS, json=data)
if response.status_code == 200:
# 解析数据
search_results = json.loads(response.content)['data']['pages']['search']['results']
return search_results
else:
raise ValueError(f"查询文档失败,原因:“{response.text}")
@staticmethod
def query_doc_info(doc_id: int) -> dict:
query = """
query singlePages($doc_id: Int!) {
pages {
single(id: $doc_id) {
id
path
title
isPublished
content
contentType
isPrivate
updatedAt
createdAt
}
}
}
"""
# 构建请求数据
variables = {
'doc_id': doc_id,
}
data = {
'query': query,
'variables': variables
}
# 发送 POST 请求
response = requests.post(WikijsTool.BASE_URL, headers=WikijsTool.HEADERS, json=data)
if "errors" in response.text:
result = json.loads(response.content)['errors'][0]['message']
return {}
else:
return json.loads(response.content)['data']['pages']['single']
WikijsTool.init_url()
if __name__ == "__main__":
WikijsTool.query_doc_info(6448)
print(WikijsTool.rename_directory("配网知识库/配网造价软件", "配网知识库/配网造价软件1"))
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from . import custom_markdownify
convert_html_to_md = custom_markdownify.md
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import re
from textwrap import fill
import requests
from bs4 import NavigableString
from bs4 import BeautifulSoup
from markdownify import MarkdownConverter, chomp, UNDERLINED, ATX_CLOSED
import copy
from . import picture_process
# <br>是否是单元格内部的换行符
def judge_br_in_table(el):
if el.name in ['td', 'tr']:
return True
if el.parent is None:
return False
# 递归父级元素
return judge_br_in_table(el.parent)
# 获取div标签中是否为标题,如果是标题则markdown中的返回标题等级
def get_markdown_title_level(el):
if el.name != 'div' or 'class' not in el.attrs:
return ''
title_level = ''
if 'hdwiki_tmml' in el.attrs['class']:
title_level = '## '
elif 'hdwiki_tmmll' in el.attrs['class']:
title_level = '### '
return title_level
def str_is_title(text) -> bool:
text = text.strip()
pattern = r'^#+'
# 使用re.search匹配字符串开头的 # 符号
match = re.search(pattern, text)
if match:
return True
else:
return False
# 判断el 是否是图片的DIV标签
def is_img_div_tag(el) -> bool:
if el is None:
return False
if el.name != "div":
return False
class_attr = el.get('class')
if class_attr is None:
return False
if "img" in class_attr or "img_l" in class_attr:
return True
else:
return False
# 判断div内部是否是纯文本内容,并且display是否为block
def is_only_text_div(el) -> bool:
if el is None or el.name != "div" or el.text == "":
return False
if el.get("display", "block") != "block":
return False
# div标签下只包含文本
if isinstance(el.string, NavigableString):
return True
# 兼容<div><b>1.&nbsp;版本概述</b>&nbsp;</div> 判断错误问题
# 递归获取所有子标签
child_tags = el.find_all(recursive=True)
for tag in child_tags:
if tag.text == "":
continue
if tag.name in ["table", "td", "img"]:
return False
if isinstance(tag.string, NavigableString):
continue
else:
return False
return True
# a标签是否在图片的div标签内部
def a_tag_is_in_img(el) -> bool:
if el.parent is None:
return False
if el.name != "a" or el.parent.name != "div":
return False
return is_img_div_tag(el.parent)
class CustomMarkDownConverter(MarkdownConverter):
"""
创建自定义的换行装换函数
"""
def __init__(self, img_download_path, **options):
super().__init__(**options)
self.img_download_path = img_download_path
# 单元格内的换行依旧保持<br>格式
def convert_br(self, el, text, convert_as_inline):
if judge_br_in_table(el):
return "<br/>"
# 容错处理(文章4696),因bs4解析html错误 导致将 分类图标签 解析到了br标签下导致图片丢失
if text.strip():
return text + "\n"
return super().convert_br(el, text, convert_as_inline)
# 图片div标签 在图片与图片描述之间添加换行
@staticmethod
def convert_img_div(text):
pattern = r'\*\*(.*?)\*\*'
match = re.search(pattern, text)
if match:
start_index = match.start()
text = text[:start_index] + "\n" + text[start_index:]
return text
# 装换标题格式
def convert_div(self, el, text, convert_as_inline):
title_level = get_markdown_title_level(el)
if title_level != '':
return "\n\n" + title_level + text + '\n\n'
if is_img_div_tag(el):
# 图片与图片描述文字之间掺入换行符
return self.convert_img_div(text)
if is_only_text_div(el):
text = "\n\n" + text + "\n\n"
return text
# 检查 URL 是否有效的函数
@staticmethod
def is_valid_url(url):
try:
response = requests.head(url, allow_redirects=True)
return response.status_code == 200
except requests.RequestException:
return False
@staticmethod
def try_complete_img_description(img_el):
if img_el is None or img_el.name != "img":
return
# 找到父级的div标签
img_el_parent_div = None
cur_el = img_el
while cur_el.parent is not None:
if is_img_div_tag(cur_el.parent):
img_el_parent_div = cur_el.parent
break
cur_el = cur_el.parent
if img_el_parent_div is not None and len(img_el_parent_div.text) != 0:
img_el.attrs["alt"] = img_el_parent_div.text
return
# 找到父级的figure标签
img_el_parent_div = None
cur_el = img_el
while cur_el.parent is not None:
if cur_el.parent is not None and cur_el.parent.name == 'figure':
img_el_parent_div = cur_el.parent
break
cur_el = cur_el.parent
if img_el_parent_div is not None and len(img_el_parent_div.text) != 0:
img_el.attrs["alt"] = img_el_parent_div.text
return
def convert_figcaption(self, el, text, convert_as_inline):
return ""
# 图片后添加空行,图片应该单独在一行后面不接文字(示例文章:6925)
def convert_img(self, el, text, convert_as_inline):
self.try_complete_img_description(el)
img_text = super().convert_img(el, text, convert_as_inline)
# 5195 出现img标签内出现换行导致 markdown图片显示出现问题
img_text = img_text.replace("\r\n", "")
img_text = img_text.replace("\n", "")
# 空的img标签直接返回空行
if img_text == "![]()":
return '\n\n'
# img 标签使用父级超链接标签中的中大图
src = el.attrs.get('src', None) or ''
if el.parent is not None and el.parent.name == "a":
href = el.parent.attrs.get('href', None) or ''
href_path = href.rsplit(".", 1)[0]
src_path = src.rsplit(".", 1)[0]
if href_path + "_s" == src_path:
img_text = img_text.replace(src, href)
if '_s' in img_text:
src_path = src.rsplit(".", 1)[0]
if src_path.endswith('_s'):
original_src_path = src_path[:-2] # 去掉末尾的 '_s'
# 构建原始 URL
original_url = original_src_path + "." + src.split(".")[-1]
if self.is_valid_url(original_url):
img_text = img_text.replace(src, original_url)
# 转换并下载图片
return picture_process.process_img_tag(img_text, self.img_download_path)
@staticmethod
def is_img_describe_strong(el) -> bool:
if el is None or el.parent is None:
return False
if len(el.contents) == 0:
return False
# if not isinstance(el.contents[0], NavigableString):
# return False
img_list = el.parent.findAll("img")
if len(img_list) == 0:
return False
for img_tag in img_list:
alt = img_tag.get("alt", None)
title = img_tag.get("title", None)
if alt is None and title is None:
continue
if alt == el.text or title == el.text:
return True
return False
def convert_b(self, el, text, convert_as_inline):
# 如果b 标签下只存在一个标题,则该b不做任何处理,避免对标题进行加粗(示例文章:6925)
if len(el.contents) == 1:
title_level = get_markdown_title_level(el.contents[0])
if title_level != '':
return text
# <b> 标签中存在标题时,不在对内容进行加粗
if str_is_title(text):
return text
if self.is_img_describe_strong(el):
return ""
text = text.strip(" \t")
suffix = ""
if text.endswith("\n"):
suffix = " \n"
b_text = super().convert_b(el, text, convert_as_inline)
# 解析完<b> 标签后添加空格。避免出现markdown文档中出现《**1.****版本概述**》(文章2377 4292等)
return " " + b_text + suffix + " "
convert_strong = convert_b
# 有可能出现<p>之后紧接一个标题hdwiki_tmml 故前后添加换行
def convert_p(self, el, text, convert_as_inline):
if convert_as_inline:
return text
if self.options['wrap']:
text = fill(text,
width=self.options['wrap_width'],
break_long_words=False,
break_on_hyphens=False)
# <p>标签前后换行
return '\n\n%s\n\n' % text if text else ''
def convert_a(self, el, text, convert_as_inline):
prefix, suffix, text = chomp(text)
if not text:
return ''
href = el.get('href')
if self.is_href_img(href):
return text
title = el.get('title')
# 5195 出现img标签内出现换行导致 markdown图片显示出现问题
if title is not None:
title = title.replace("\n", "")
# For the replacement see #29: text nodes underscores are escaped
if (self.options['autolinks']
and text.replace(r'\_', '_') == href
and not title
and not self.options['default_title']):
# Shortcut syntax
return '<%s>' % href
if self.options['default_title'] and not title:
title = href
title_part = ' "%s"' % title.replace('"', r'\"') if title else ''
a_tag = '%s[%s](%s%s)%s' % (prefix, text, href, title_part, suffix) if href else text
return a_tag
@staticmethod
def is_href_img(href_url) -> bool:
if href_url is None:
return False
file_extension = href_url.split(".")[-1]
# 不是图片不处理
file_extension = file_extension.lower()
if file_extension not in ["jpg", "jpeg", "png", "gif"]:
return False
return True
def convert_li(self, el, text, convert_as_inline):
# 为空的li标签返回空(文章 4347)
if not text.strip():
return ""
li_text = super().convert_li(el, text, convert_as_inline)
return li_text
def convert_td(self, el, text, convert_as_inline):
if "\r\n" in text:
text = text.replace("\r\n", "<br>")
if "\n" in text:
text = text.replace("\n", "<br>")
return ' ' + text + ' |'
def convert_hn(self, n, el, text, convert_as_inline):
if convert_as_inline:
return text
style = self.options['heading_style'].lower()
text = text.rstrip()
if style == UNDERLINED and n <= 2:
line = '=' if n == 1 else '-'
return self.underline(text, line)
hashes = '#' * n
hashes = hashes + " "
if style == ATX_CLOSED:
return '\n\n %s %s %s\n\n' % (hashes, text, hashes)
return '\n\n%s %s\n\n' % (hashes, text)
@staticmethod
def convert_thead_table(el, text, cell_name, convert_as_inline):
cells = el.find_all(['td', 'th'])
is_headrow = all([cell.name == cell_name for cell in cells])
overline = ''
underline = ''
if is_headrow and not el.previous_sibling:
# first row and is headline: print headline underline
underline += '| ' + ' | '.join(['---'] * len(cells)) + ' |' + '\n'
elif (not el.previous_sibling
and (el.parent.name == 'table'
or (el.parent.name == 'tbody'
and not el.parent.previous_sibling))):
# first row, not headline, and:
# - the parent is table or
# - the parent is tbody at the beginning of a table.
# print empty headline above this row
overline += '| ' + ' | '.join([''] * len(cells)) + ' |' + '\n'
overline += '| ' + ' | '.join(['---'] * len(cells)) + ' |' + '\n'
return overline + '|' + text + '\n' + underline
def convert_tr(self, el, text, convert_as_inline):
# 解决table标签下存在thead的问题 (文章4061 1976)
if el and el.parent and el.parent.name == "thead":
return CustomMarkDownConverter.convert_thead_table(el, text, 'td', convert_as_inline)
# 兼容 table->colgroup、tbody->tr 文章4364
if (el and el.parent and el.parent.previousSibling
and el.parent.name == "tbody"
and el.parent.previousSibling.name == "colgroup"):
return CustomMarkDownConverter.convert_thead_table(el, text, 'td', convert_as_inline)
return super().convert_tr(el, text, convert_as_inline)
def convert_pre(self, el, text, convert_as_inline):
# 文章5192出现pre标签,但内容不是代码。故不额外处理pre标签
return text
def escape(self, text):
if not text:
return ''
if self.options['escape_misc']:
# text = re.sub(r'([\\&<`[>~#=+|-])', r'\\\1', text)
text = re.sub(r'([\\&<`[>~#%=+|-])', r'\\\1', text)
# 以下的转义是不必要的
# text = re.sub(r'([0-9])([.)])', r'\1\\\2', text)
if self.options['escape_asterisks']:
text = text.replace('*', r'\*')
if self.options['escape_underscores']:
text = text.replace('_', r'\_')
return text
@staticmethod
def convert_span(el, text, convert_as_inline):
# 文章3526出现图片后面紧接图片文本的问题。图片文本在span标签内
if "style" not in el.attrs:
return text
style_attr = el.attrs['style']
if style_attr is None:
return text
style_content = style_attr.split(';')
# 遍历style属性内容,找到display的值
for item in style_content:
if 'display' in item:
display_value = item.split(': ')[1] # 获取冒号后的值
if display_value == "block" and text != "":
return f"\n\n{text}\n\n"
return text
def expand_html_table(html) -> tuple[str, bool]:
soup = BeautifulSoup(html, 'html.parser')
tables = soup.find_all('table')
if len(tables) == 0:
return html, False
for table in tables:
# 创建一个二维列表来表示表格
table_rows = table.find_all('tr')
max_cols = 0
for row in table_rows:
cols = row.find_all(['td', 'th'])
col_count = sum([int(col.get('colspan', 1)) for col in cols])
if col_count > max_cols:
max_cols = col_count
# 初始化一个二维列表来存储最终的表格
result_table = []
for _ in range(len(table_rows)):
result_table.append([None] * max_cols)
# 填充二维列表
for r, row in enumerate(table_rows):
cols = row.find_all(['td', 'th'])
c = 0
for col in cols:
while result_table[r][c] is not None:
c += 1
colspan = int(col.get('colspan', 1))
rowspan = int(col.get('rowspan', 1))
for i in range(rowspan):
for j in range(colspan):
# 拆分合并单元格时,重复内容
result_table[r + i][c + j] = copy.copy(col)
# if j == 0 and i == 0:
# result_table[r + i][c + j] = copy.copy(col)
# else:
# result_table[r + i][c + j] = soup.new_tag('td')
c += colspan
# 生成新的表格 HTML
new_table = soup.new_tag('table', border="1", cellspacing="0")
tbody = soup.new_tag('tbody')
new_table.append(tbody)
for row in result_table:
tr = soup.new_tag('tr')
for col in row:
if col is not None:
td = soup.new_tag(col.name)
td.string = col.get_text()
tr.append(td)
tbody.append(tr)
# 替换原始HTML中的旧表格
table.replace_with(new_table)
return str(soup), True
# Create shorthand method for conversion
def md(html, img_download_path, **options):
new_html, result = expand_html_table(html)
markdown_content = CustomMarkDownConverter(img_download_path, **options).convert(new_html)
# 删除换行符中间的空格
temp_txt = re.sub(r'\n\s*\n', '\n\n', markdown_content)
# 连续超过3个以上的换行符替换为3个
temp_txt = re.sub(r'\n{3,}', '\n\n\n', temp_txt)
return temp_txt
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import base64
import hashlib
import logging
import os
import re
import uuid
from urllib.parse import urljoin
import requests
def get_img_tag_url(img_tag):
# 提取图片url的正则表达式模式
pattern = r'\!\[.*?\]\((.*?)\)'
# 找到第一个匹配的链接
match = re.search(pattern, img_tag)
if not match:
return ""
# 获取匹配到的链接
link = match.group(1)
# 第0个为链接
link = link.split(" ")[0]
return link
# 填充img标签中的图片链接
# img_tag '![1](http://wiki.jxbw.com/hdwiki/uploads/202303/1679471232U4iPCjtm_s.jpg "1")'
# img_tag '![1](uploads/202303/1679471232U4iPCj6tm_s.jpg "1")'
def fill_img_url(img_tag):
"""
填充img标签中的图片链接。
参数:
img_tag (str): 原始的img标签
返回:
tuple: 修改后的img标签和图片的完整链接
"""
# 一个完整的img标签内删除换行符
img_tag = img_tag.replace("\n", "")
link = get_img_tag_url(img_tag)
if len(link) == 0:
return img_tag, ''
base_url = os.getenv("IMG_URL_PREFIX")
if "http:" in link:
# 图片为全链接,不替换
return img_tag, link
elif base_url:
# 补全图片链接
full_link = urljoin(base_url, link)
img_tag = img_tag.replace(link, full_link)
return img_tag, full_link
else:
return img_tag, ''
def download_picture(img_tag, download_path):
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/94.0.4606.71 Safari/537.36 '
}
img_tag, img_url = fill_img_url(img_tag)
if img_url == '':
return img_tag
# if "_s" in img_tag:
# breakpoint()
file_name = img_url.split("/")[-1]
file_path = os.path.normpath(download_path + "\\" + file_name)
file_path = file_path.replace("\\", "/")
# 文件已经存在时不下载
if not os.path.exists(file_path):
img_date = requests.get(url=img_url, headers=headers).content
logging.info(f"图片下载成功:{img_url}")
with open(file_path, 'wb') as fp:
fp.write(img_date)
# img_tag中的url替换为下载的图片路径
return img_tag.replace(img_url, file_path)
def download_picture_from_other_url(img_tag, download_path):
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/94.0.4606.71 Safari/537.36 '
}
img_tag, img_url = fill_img_url(img_tag)
# if "_s" in img_tag:
# breakpoint()
file_name = uuid.uuid4()
file_path = os.path.join(download_path, f"{file_name}.png")
file_path = os.path.normpath(file_path)
# 文件已经存在时不下载
if not os.path.exists(file_path):
try:
img_date = requests.get(url=img_url, headers=headers).content
with open(file_path, 'wb') as fp:
fp.write(img_date)
logging.info(f"图片下载成功:{img_url}")
except Exception as e:
logging.warning(f"img download error url:{img_url}")
return img_tag
# img_tag中的url替换为下载的图片路径
return img_tag.replace(img_url, file_path)
def extract_base64_from_data_uri(data_uri):
# 分割字符串以找到 base64 部分
parts = data_uri.split(',')
if len(parts) == 2 and parts[0].endswith('base64'):
# 移除后缀并返回 base64 值
return parts[1][:-1]
else:
return None
def picture_base64(img_tag, picture_save_path):
# 解码Base64字符串
# ![](data:image/png;base64,1679471232U4iPCj6tm_s)
base64_str = extract_base64_from_data_uri(img_tag)
if picture_save_path is None or picture_save_path == "":
return "![picture](空)"
# 将图片内容做MD5 用作文件名
hash_object = hashlib.md5()
hash_object.update(base64_str.encode())
img_md5 = hash_object.hexdigest()
picture_save_path = picture_save_path + "\\%s.png" % img_md5
picture_save_path = os.path.normpath(picture_save_path)
picture_save_path = picture_save_path.replace("\\", "/")
# 文件已经存在时不重新保存
if not os.path.exists(picture_save_path):
decoded_string = base64.b64decode(base64_str)
with open(picture_save_path, 'wb') as fp:
fp.write(decoded_string)
# 修改img_tab的图片路径
match = re.search("\[(.*?)\]", img_tag)
result = ""
if match:
result = match.group(1)
if result == "":
return "![picture](%s)" % picture_save_path
else:
return "![%s](%s \"%s\")" % (result, picture_save_path, result)
def process_img_tag(str_img_tag, img_path):
# 如果img标签指向的是本地磁盘路径 则忽略该标签返回空
if "file:///" in str_img_tag:
logging.warning(f"存在非法的链接地址:{str_img_tag}")
return ""
if img_path is None or img_path == "":
return "![picture](空)"
img_url = get_img_tag_url(str_img_tag)
if "data:image/png;base64" in str_img_tag:
return picture_base64(str_img_tag, img_path)
# (4696等存在指向外部链接的 img标签。 暂时保留不删除)
elif "http://" in str_img_tag or "https://" in str_img_tag:
return download_picture_from_other_url(str_img_tag, img_path)
elif not img_url.startswith("http"):
return download_picture(str_img_tag, img_path)
else:
logging.warning(f"未处理的图片标签:{str_img_tag}")
return str_img_tag
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{
"url":"http://10.1.0.145:8090/graphql",
"Authorization":"Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJhcGkiOjEsImdycCI6MSwiaWF0IjoxNzIzNjMxMjcwLCJleHAiOjE4MTgzMDQwNzAsImF1ZCI6InVybjp3aWtpLmpzIiwiaXNzIjoidXJuOndpa2kuanMifQ.g5H1xVMtk7Q3uvrRdtD3aTm49dQkS11cYdDKIwXo7DthOOTGj9DmFO7yILNDU7XFACTZc1Ej6ryguYV_8vGqoc-Rc7LciwvqS_RHDYUKZNKENbv8df9UGDMB-F9DT_airGc1lGJXgVqypxejDL3fY8aRMGXm7GBIlZKY4JTeI2uJZxffgfqKGrOvc3EOtsGgJzKZo4OyQ8UInGtCTiuq6-mLj_Syix_1z52K1tgfnF4E4-rZH_zCD05hUlUMYUV-KWhPkeOEGR5xbRTrulfCvzDD4T0CX4pI-keSKmgVn1HYSSN4o1Tj_l9zsyhUoLRzhzPK29Q3uekIc9obrvCHrg"
}