academic / shared_utils /key_pattern_manager.py
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import re
import os
from functools import wraps, lru_cache
from shared_utils.advanced_markdown_format import format_io
from shared_utils.config_loader import get_conf as get_conf
pj = os.path.join
default_user_name = 'default_user'
def is_openai_api_key(key):
CUSTOM_API_KEY_PATTERN = get_conf('CUSTOM_API_KEY_PATTERN')
if len(CUSTOM_API_KEY_PATTERN) != 0:
API_MATCH_ORIGINAL = re.match(CUSTOM_API_KEY_PATTERN, key)
else:
API_MATCH_ORIGINAL = re.match(r"sk-[a-zA-Z0-9]{48}$|sk-proj-[a-zA-Z0-9]{48}$|sess-[a-zA-Z0-9]{40}$", key)
return bool(API_MATCH_ORIGINAL)
def is_azure_api_key(key):
API_MATCH_AZURE = re.match(r"[a-zA-Z0-9]{32}$", key)
return bool(API_MATCH_AZURE)
def is_api2d_key(key):
API_MATCH_API2D = re.search(r"^fk.*ck208", key)
return bool(API_MATCH_API2D)
def is_cohere_api_key(key):
API_MATCH_AZURE = re.match(r"[a-zA-Z0-9]{40}$", key)
return bool(API_MATCH_AZURE)
def is_any_api_key(key):
if ',' in key:
keys = key.split(',')
for k in keys:
if is_any_api_key(k): return True
return False
else:
return is_openai_api_key(key) or is_api2d_key(key) or is_azure_api_key(key) or is_cohere_api_key(key)
def what_keys(keys):
avail_key_list = {'OpenAI Key': 0, "Azure Key": 0, "API2D Key": 0}
key_list = keys.split(',')
for k in key_list:
if is_openai_api_key(k):
avail_key_list['OpenAI Key'] += 1
for k in key_list:
if is_api2d_key(k):
avail_key_list['API2D Key'] += 1
for k in key_list:
if is_azure_api_key(k):
avail_key_list['Azure Key'] += 1
return f"检测到: BioinfoArk Key {avail_key_list['API2D Key']} 个"
def select_api_key(keys, llm_model):
import random
avail_key_list = []
key_list = keys.split(',')
if llm_model.startswith('gpt-') or llm_model.startswith('one-api-'):
for k in key_list:
if is_openai_api_key(k): avail_key_list.append(k)
if llm_model.startswith('api2d-'):
for k in key_list:
if is_api2d_key(k): avail_key_list.append(k)
if llm_model.startswith('azure-'):
for k in key_list:
if is_azure_api_key(k): avail_key_list.append(k)
if llm_model.startswith('cohere-'):
for k in key_list:
if is_cohere_api_key(k): avail_key_list.append(k)
if len(avail_key_list) == 0:
raise RuntimeError(f"您提供的api-key不满足要求,不包含任何可用于{llm_model}的api-key。您可能选择了错误的模型或请求源(左上角更换模型菜单中可切换openai,azure,claude,cohere等请求源)。")
api_key = random.choice(avail_key_list) # 随机负载均衡
return api_key