Kalospacer/WulaFallenEmpireRW
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

zc

Browse Source
This commit is contained in:
ProjectKoi-Kalo\Kalo
2025-12-08 12:43:33 +08:00
parent dab94bbbb7
commit cce940751d
3 changed files with 344 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

108
MCP/gemini_image_test.py Normal file
View File

@@ -0,0 +1,108 @@
import json
import requests
import re
# ================= 配置区域 =================
# 1. 认证令牌 (Authorization Token)
# 每次运行前，请确保从浏览器开发者工具中获取一个新的令牌
AUTH_TOKEN = "Bearer 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.eyJpc3MiOiJodHRwczovL2J1c2luZXNzLmdlbWluaS5nb29nbGUiLCJhdWQiOiJodHRwczovL2Jpei1kaXNjb3ZlcnllbmdpbmUuZ29vZ2xlYXBpcy5jb20iLCJzdWIiOiJjc2VzaWR4LzMyNjAzOTY4OCIsImlhdCI6MTc2NTE2NzM4NiwiZXhwIjoxNzY1MTY3Njg2LCJuYmYiOjE3NjUxNjczODZ9.urQLDoUDAEjQhX8c42hJfKU28WoKn8-0tGjgX5RqhtY"
# 2. 接口地址
TARGET_URL = "https://biz-discoveryengine.googleapis.com/v1alpha/locations/global/widgetStreamAssist"
# 3. 会话 ID 和 Config ID (使用图片生成时的固定值)
SESSION_ID = "collections/default_collection/engines/agentspace-engine/sessions/16190456916940072265"
CONFIG_ID = "36cc1840-8078-4a90-ad0a-6f995a52af32"
# ===============================================================
def parse_gemini_response(text):
"""
根据真实的流式响应，精确解析并拼接 Gemini 的文本和图片文件回复。
"""
print("------ 原始响应 ------")
print(text)
print("--------------------")
try:
full_response_parts = []
# 响应体是由换行符分隔的一系列JSON对象
lines = text.strip().split('\n')
for line in lines:
try:
data = json.loads(line)
replies = data.get("streamAssistResponse", {}).get("answer", {}).get("replies", [])
for reply in replies:
content = reply.get("groundedContent", {}).get("content", {})
# 检查并提取文本内容
if "text" in content:
full_response_parts.append(content["text"])
# 检查并提取文件（图片）内容
if "file" in content and "fileId" in content["file"]:
file_id = content["file"]["fileId"]
# 将 fileId 构造成一个 Markdown 图片链接。
image_markdown = f"\n![Generated Image](https://business.gemini.google.com/file/{file_id})\n"
full_response_parts.append(image_markdown)
except (json.JSONDecodeError):
# 忽略无法解析为JSON的行
continue
if full_response_parts:
return "".join(full_response_parts)
return "未能从响应流中提取有效内容。"
except Exception as e:
return f"解析响应时发生未知错误: {e}"
def send_test_request(prompt: str):
"""
发送一次测试请求并返回结果。
"""
if "在此处粘贴" in AUTH_TOKEN:
return "错误: 请在脚本中填入真实的 AUTH_TOKEN"
payload = {
"configId": CONFIG_ID,
"additionalParams": {"token": "-"},
"streamAssistRequest": {
"session": SESSION_ID,
"query": {"parts": [{"text": "\n" + prompt}]},
"answerGenerationMode": "NORMAL",
"assistGenerationConfig": {"modelId": "gemini-3-pro-preview"},
"assistSkippingMode": "REQUEST_ASSIST",
"languageCode": "zh-CN",
"userMetadata": {"timeZone": "Asia/Shanghai"}
}
}
headers = {
"accept": "*/*",
"authorization": AUTH_TOKEN,
"content-type": "application/json",
"origin": "https://business.gemini.google",
"referer": "https://business.gemini.google/",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0",
}
try:
print(f"正在发送图片生成测试请求: {prompt[:100]}...")
resp = requests.post(TARGET_URL, headers=headers, json=payload)
if resp.status_code != 200:
return f"请求失败! 状态码: {resp.status_code}\n响应内容:\n{resp.text}"
return parse_gemini_response(resp.text)
except Exception as e:
return f"发生异常: {e}"
if __name__ == '__main__':
test_prompt = "画一只戴着宇航员头盔的猫"
result = send_test_request(test_prompt)
print("\n====== 图片生成测试结果 ======")
print(result)
print("==============================")

123
MCP/gemini_proxy.py Normal file
View File

@@ -0,0 +1,123 @@
import json
import requests
from flask import Flask, request, Response
import re
# ================= 配置区域 =================
AUTH_TOKEN = "Bearer 在此处粘贴您的最新Authorization令牌"
TARGET_URL = "https://biz-discoveryengine.googleapis.com/v1alpha/locations/global/widgetStreamAssist"
SESSION_ID = "collections/default_collection/engines/agentspace-engine/sessions/16190456916940072265"
CONFIG_ID = "36cc1840-8078-4a90-ad0a-6f995a52af32"
# ===============================================================
app = Flask(__name__)
def parse_gemini_response(text):
"""
最终版精确解析器。
"""
try:
full_response_parts = []
lines = text.strip().split('\n')
for line in lines:
try:
if line.strip().startswith('{') and line.strip().endswith('}'):
data = json.loads(line)
replies = data.get("streamAssistResponse", {}).get("answer", {}).get("replies", [])
for reply in replies:
content = reply.get("groundedContent", {}).get("content", {})
if isinstance(content, dict) and "text" in content:
full_response_parts.append(content["text"])
if isinstance(content, dict) and "file" in content and "fileId" in content.get("file", {}):
file_id = content["file"]["fileId"]
image_markdown = f"\n![Generated Image](https://business.gemini.google.com/file/{file_id})\n"
full_response_parts.append(image_markdown)
except (json.JSONDecodeError):
continue
if full_response_parts:
return "".join(full_response_parts)
return "未能从响应流中提取有效内容。"
except Exception as e:
return f"解析响应时发生未知错误: {e}"
@app.route('/v1/chat/completions', methods=['POST'])
def proxy():
if "在此处粘贴" in AUTH_TOKEN:
return Response('{"error": "请在 gemini_proxy.py 脚本中配置 AUTH_TOKEN"}', status=500, mimetype='application/json')
openai_request = request.json
messages = openai_request.get('messages', [])
# 恢复到原始状态：简单拼接所有消息内容
prompt = ""
for msg in messages:
role = msg.get('role', 'user')
content = msg.get('content', '')
prompt += f"{role}: {str(content)}\n"
print(f"收到请求: {prompt[:100]}...")
payload = {
"configId": CONFIG_ID,
"additionalParams": {"token": "-"},
"streamAssistRequest": {
"session": SESSION_ID,
"query": {"parts": [{"text": "\n" + prompt}]},
"answerGenerationMode": "NORMAL",
"assistGenerationConfig": {"modelId": "gemini-3-pro-preview"},
"assistSkippingMode": "REQUEST_ASSIST",
"languageCode": "zh-CN",
"userMetadata": {"timeZone": "Asia/Shanghai"}
}
}
headers = {
"accept": "*/*",
"authorization": AUTH_TOKEN,
"content-type": "application/json",
"origin": "https://business.gemini.google",
"referer": "https://business.gemini.google/",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0",
}
try:
resp = requests.post(TARGET_URL, headers=headers, json=payload)
if resp.status_code != 200:
return Response(f'{{"error": "Gemini 请求失败", "status_code": {resp.status_code}, "details": "{resp.text}"}}', status=500, mimetype='application/json')
gemini_text = parse_gemini_response(resp.text)
openai_resp = {
"id": "chatcmpl-gemini-enterprise-proxy",
"object": "chat.completion",
"created": 0,
"choices": [{
"index": 0,
"message": {
"role": "assistant",
"content": gemini_text
},
"finish_reason": "stop"
}],
"usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}
}
return Response(json.dumps(openai_resp), mimetype='application/json')
except Exception as e:
return Response(f'{{"error": "代理服务器内部错误", "details": "{str(e)}"}}', status=500, mimetype='application/json')
if __name__ == '__main__':
print("Gemini Enterprise to OpenAI Proxy")
print("服务已启动: http://localhost:5000/v1/chat/completions")
print("请注意：每次启动前，您可能都需要更新脚本中的 AUTH_TOKEN。")
app.run(port=5000, debug=False)

113
MCP/gemini_proxy_test.py Normal file
View File

@@ -0,0 +1,113 @@
import json
import requests
# ================= 配置区域 =================
# 1. 认证令牌 (Authorization Token)
# 从 widgetStreamAssist 请求的 "Request Headers" -> "Authorization" 复制
AUTH_TOKEN = "Bearer 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.eyJpc3MiOiJodHRwczovL2J1c2luZXNzLmdlbWluaS5nb29nbGUiLCJhdWQiOiJodHRwczovL2Jpei1kaXNjb3ZlcnllbmdpbmUuZ29vZ2xlYXBpcy5jb20iLCJzdWIiOiJjc2VzaWR4LzMyNjAzOTY4OCIsImlhdCI6MTc2NTE2NjUwMSwiZXhwIjoxNzY1MTY2ODAxLCJuYmYiOjE3NjUxNjY1MDF9.g_pzR-3_OaL8eXHh_5alAuJeMKL56O5rS1JcX63Twmw"
# 2. 接口地址
TARGET_URL = "https://biz-discoveryengine.googleapis.com/v1alpha/locations/global/widgetStreamAssist"
# 3. 会话 ID 和 Config ID (从真实 Payload 复制)
SESSION_ID = "collections/default_collection/engines/agentspace-engine/sessions/16611680310063068731"
CONFIG_ID = "36cc1840-8078-4a90-ad0a-6f995a52af32"
# ===============================================================
def parse_gemini_response(text):
"""
根据您提供的真实响应体，更新解析器。
"""
print("------ 原始响应 ------")
print(text)
print("--------------------")
try:
full_response = ""
# 响应体可能是一系列由换行符分隔的JSON对象
# 我们需要找到包含有效文本块的部分
# 注意：真实的流式响应可能更复杂，这里是一个简化版解析
lines = text.strip().split('\n')
for line in lines:
try:
data = json.loads(line)
# 根据您提供的响应体，路径是 streamAssistResponse -> answer -> replies -> [0] -> groundedContent -> content -> text
text_chunk = data["streamAssistResponse"]["answer"]["replies"][0]["groundedContent"]["content"]["text"]
full_response += text_chunk
except (KeyError, IndexError, TypeError, json.JSONDecodeError):
continue
if full_response:
return full_response
return "未能从响应流中提取有效文本。"
except Exception as e:
return f"解析响应失败: {e}"
def send_test_request(prompt: str):
"""
发送一次测试请求并返回结果。
"""
if "在此处粘贴" in AUTH_TOKEN:
return "错误: 请在脚本中填入真实的 AUTH_TOKEN"
# 使用您提供的真实Payload结构，并动态插入prompt
# 关键修正：在prompt前添加 '\n' 以完全模拟浏览器行为
payload = {
"configId": CONFIG_ID,
"additionalParams": {"token": "-"},
"streamAssistRequest": {
"session": SESSION_ID,
"query": {"parts": [{"text": "\n" + prompt}]}, # <--- 关键修正
"filter": "",
"fileIds": [],
"answerGenerationMode": "NORMAL",
"toolsSpec": {
"webGroundingSpec": {},
"toolRegistry": "default_tool_registry",
"imageGenerationSpec": {},
"videoGenerationSpec": {}
},
"languageCode": "zh-CN",
"userMetadata": {"timeZone": "Asia/Shanghai"},
"assistSkippingMode": "REQUEST_ASSIST",
"assistGenerationConfig": {"modelId": "gemini-3-pro-preview"}
}
}
# 使用您提供的完整请求头
headers = {
"accept": "*/*",
"accept-language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6",
"authorization": AUTH_TOKEN,
"content-type": "application/json",
"origin": "https://business.gemini.google",
"priority": "u=1, i",
"referer": "https://business.gemini.google/",
"sec-ch-ua": '"Microsoft Edge";v="143", "Chromium";v="143", "Not A(Brand";v="24"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Windows"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "cross-site",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0",
"x-server-timeout": "1800",
}
try:
print(f"正在发送测试请求: {prompt[:100]}...")
resp = requests.post(TARGET_URL, headers=headers, json=payload)
if resp.status_code != 200:
return f"请求失败! 状态码: {resp.status_code}\n响应内容:\n{resp.text}"
return parse_gemini_response(resp.text)
except Exception as e:
return f"发生异常: {e}"
if __name__ == '__main__':
test_prompt = "你好世界"
result = send_test_request(test_prompt)
print("\n====== 测试结果 ======")
print(result)
print("======================")