MCP - 应用
Cline 与 mcpServer 交互过程
使用 mcp_logger 捕获 Cline 与 mcpServers之间的交互过程:
问答内容:
详情
#!/usr/bin/env python3
import sys
import subprocess
import threading
import argparse
import os
# --- Configuration ---
LOG_FILE = os.path.join(os.path.dirname(os.path.realpath(__file__)), "mcp_io.log")
# --- End Configuration ---
# --- Argument Parsing ---
parser = argparse.ArgumentParser(
description="Wrap a command, passing STDIN/STDOUT verbatim while logging them.",
usage="%(prog)s <command> [args...]"
)
# Capture the command and all subsequent arguments
parser.add_argument('command', nargs=argparse.REMAINDER,
help='The command and its arguments to execute.')
open(LOG_FILE, 'w', encoding='utf-8')
if len(sys.argv) == 1:
parser.print_help(sys.stderr)
sys.exit(1)
args = parser.parse_args()
if not args.command:
print("Error: No command provided.", file=sys.stderr)
parser.print_help(sys.stderr)
sys.exit(1)
target_command = args.command
# --- End Argument Parsing ---
# --- I/O Forwarding Functions ---
# These will run in separate threads
def forward_and_log_stdin(proxy_stdin, target_stdin, log_file):
"""Reads from proxy's stdin, logs it, writes to target's stdin."""
try:
while True:
# Read line by line from the script's actual stdin
line_bytes = proxy_stdin.readline()
if not line_bytes: # EOF reached
break
# Decode for logging (assuming UTF-8, adjust if needed)
try:
line_str = line_bytes.decode('utf-8')
except UnicodeDecodeError:
line_str = f"[Non-UTF8 data, {len(line_bytes)} bytes]\n" # Log representation
# Log with prefix
log_file.write(f"输入: {line_str}")
log_file.flush() # Ensure log is written promptly
# Write the original bytes to the target process's stdin
target_stdin.write(line_bytes)
target_stdin.flush() # Ensure target receives it promptly
except Exception as e:
# Log errors happening during forwarding
try:
log_file.write(f"!!! STDIN Forwarding Error: {e}\n")
log_file.flush()
except: pass # Avoid errors trying to log errors if log file is broken
finally:
# Important: Close the target's stdin when proxy's stdin closes
# This signals EOF to the target process (like test.sh's read loop)
try:
target_stdin.close()
log_file.write("--- STDIN stream closed to target ---\n")
log_file.flush()
except Exception as e:
try:
log_file.write(f"!!! Error closing target STDIN: {e}\n")
log_file.flush()
except: pass
def forward_and_log_stdout(target_stdout, proxy_stdout, log_file):
"""Reads from target's stdout, logs it, writes to proxy's stdout."""
try:
while True:
# Read line by line from the target process's stdout
line_bytes = target_stdout.readline()
if not line_bytes: # EOF reached (process exited or closed stdout)
break
# Decode for logging
try:
line_str = line_bytes.decode('utf-8')
except UnicodeDecodeError:
line_str = f"[Non-UTF8 data, {len(line_bytes)} bytes]\n"
# Log with prefix
log_file.write(f"输出: {line_str}")
log_file.flush()
# Write the original bytes to the script's actual stdout
proxy_stdout.write(line_bytes)
proxy_stdout.flush() # Ensure output is seen promptly
except Exception as e:
try:
log_file.write(f"!!! STDOUT Forwarding Error: {e}\n")
log_file.flush()
except: pass
finally:
try:
log_file.flush()
except: pass
# Don't close proxy_stdout (sys.stdout) here
# --- Main Execution ---
process = None
log_f = None
exit_code = 1 # Default exit code in case of early failure
try:
# Open log file in append mode ('a') for the threads
log_f = open(LOG_FILE, 'a', encoding='utf-8')
# Start the target process
# We use pipes for stdin/stdout
# We work with bytes (bufsize=0 for unbuffered binary, readline() still works)
# stderr=subprocess.PIPE could be added to capture stderr too if needed.
process = subprocess.Popen(
target_command,
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE, # Capture stderr too, good practice
bufsize=0 # Use 0 for unbuffered binary I/O
)
# Pass binary streams to threads
stdin_thread = threading.Thread(
target=forward_and_log_stdin,
args=(sys.stdin.buffer, process.stdin, log_f),
daemon=True # Allows main thread to exit even if this is stuck (e.g., waiting on stdin) - reconsider if explicit join is needed
)
stdout_thread = threading.Thread(
target=forward_and_log_stdout,
args=(process.stdout, sys.stdout.buffer, log_f),
daemon=True
)
# Optional: Handle stderr similarly (log and pass through)
stderr_thread = threading.Thread(
target=forward_and_log_stdout, # Can reuse the function
args=(process.stderr, sys.stderr.buffer, log_f), # Pass stderr streams
# Add a different prefix in the function if needed, or modify function
# For now, it will log with "STDOUT:" prefix - might want to change function
# Let's modify the function slightly for this
daemon=True
)
# A slightly modified version for stderr logging
def forward_and_log_stderr(target_stderr, proxy_stderr, log_file):
"""Reads from target's stderr, logs it, writes to proxy's stderr."""
try:
while True:
line_bytes = target_stderr.readline()
if not line_bytes: break
try: line_str = line_bytes.decode('utf-8')
except UnicodeDecodeError: line_str = f"[Non-UTF8 data, {len(line_bytes)} bytes]\n"
log_file.write(f"STDERR: {line_str}") # Use STDERR prefix
log_file.flush()
proxy_stderr.write(line_bytes)
proxy_stderr.flush()
except Exception as e:
try:
log_file.write(f"!!! STDERR Forwarding Error: {e}\n")
log_file.flush()
except: pass
finally:
try:
log_file.flush()
except: pass
stderr_thread = threading.Thread(
target=forward_and_log_stderr,
args=(process.stderr, sys.stderr.buffer, log_f),
daemon=True
)
# Start the forwarding threads
stdin_thread.start()
stdout_thread.start()
stderr_thread.start() # Start stderr thread too
# Wait for the target process to complete
process.wait()
exit_code = process.returncode
# Wait briefly for I/O threads to finish flushing last messages
# Since they are daemons, they might exit abruptly with the main thread.
# Joining them ensures cleaner shutdown and logging.
# We need to make sure the pipes are closed so the reads terminate.
# process.wait() ensures target process is dead, pipes should close naturally.
stdin_thread.join(timeout=1.0) # Add timeout in case thread hangs
stdout_thread.join(timeout=1.0)
stderr_thread.join(timeout=1.0)
except Exception as e:
print(f"MCP Logger Error: {e}", file=sys.stderr)
# Try to log the error too
if log_f and not log_f.closed:
try:
log_f.write(f"!!! MCP Logger Main Error: {e}\n")
log_f.flush()
except: pass # Ignore errors during final logging attempt
exit_code = 1 # Indicate logger failure
finally:
# Ensure the process is terminated if it's still running (e.g., if logger crashed)
if process and process.poll() is None:
try:
process.terminate()
process.wait(timeout=1.0) # Give it a moment to terminate
except: pass # Ignore errors during cleanup
if process.poll() is None: # Still running?
try: process.kill() # Force kill
except: pass # Ignore kill errors
# Final log message
if log_f and not log_f.closed:
try:
log_f.close()
except: pass # Ignore errors during final logging attempt
# Exit with the target process's exit code
sys.exit(exit_code)
Cline 与 模型 交互过程
Cline上配置API Provider为 OpenAI Compatible
大模型log代码
详情
import httpx
from fastapi import FastAPI, Request
from starlette.responses import StreamingResponse
class AppLogger:
def __init__(self, log_file="llm.log"):
"""Initialize the logger with a file that will be cleared on startup."""
self.log_file = log_file
# Clear the log file on startup
with open(self.log_file, 'w', encoding='utf-8') as f:
f.write("")
def log(self, message):
"""Log a message to both file and console."""
# Log to file
with open(self.log_file, 'a', encoding='utf-8') as f:
f.write(message + "\n")
# Log to console
print(message)
app = FastAPI(title="LLM API Logger")
logger = AppLogger("llm.log")
@app.post("/chat/completions")
async def proxy_request(request: Request):
body_bytes = await request.body()
body_str = body_bytes.decode('utf-8')
logger.log(f"模型请求:{body_str}")
body = await request.json()
logger.log("模型返回:\n")
async def event_stream():
async with httpx.AsyncClient(timeout=None) as client:
async with client.stream(
"POST",
"https://api.deepseek.com/chat/completions",
json=body,
headers={
"Content-Type": "application/json",
"Accept": "text/event-stream",
"Authorization": request.headers.get("Authorization"),
},
) as response:
async for line in response.aiter_lines():
logger.log(line)
yield f"{line}\n"
return StreamingResponse(event_stream(), media_type="text/event-stream")
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8000)
cline请求大模型全过程
问答内容:
