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"""
Memory MCP Client - Store and retrieve analysis results using Memory MCP server.
"""
import json
import logging
from typing import Dict, Optional, Any
from mcp import ClientSession
from mcp.client.stdio import stdio_client
logger = logging.getLogger(__name__)
class MemoryMCPClient:
"""
Client for Memory MCP server to cache analysis results and transformation examples.
"""
def __init__(self, mcp_manager):
"""
Initialize Memory MCP client.
Args:
mcp_manager: MCPManager instance
"""
self.mcp_manager = mcp_manager
self.server_name = "memory"
logger.info("MemoryMCPClient initialized")
async def store_pattern_analysis(self, pattern_id: str, analysis: Dict) -> bool:
"""
Store pattern analysis in MCP memory.
Args:
pattern_id: Unique identifier for the pattern
analysis: Analysis data to store
Returns:
True if successful, False otherwise
"""
try:
server_params = self.mcp_manager.get_server_params(self.server_name)
if not server_params:
logger.error(f"{self.server_name} MCP server not registered")
return False
async with stdio_client(server_params) as (read, write):
async with ClientSession(read, write) as session:
await session.initialize()
# Store entity in memory
result = await session.call_tool(
"store_entity",
arguments={
"name": f"pattern_{pattern_id}",
"content": json.dumps(analysis)
}
)
logger.info(f"Stored pattern analysis: {pattern_id}")
return True
except Exception as e:
logger.error(f"Error storing pattern analysis: {e}")
return False
async def retrieve_pattern_analysis(self, pattern_id: str) -> Optional[Dict]:
"""
Retrieve cached pattern analysis.
Args:
pattern_id: Unique identifier for the pattern
Returns:
Analysis data or None if not found
"""
try:
server_params = self.mcp_manager.get_server_params(self.server_name)
if not server_params:
logger.error(f"{self.server_name} MCP server not registered")
return None
async with stdio_client(server_params) as (read, write):
async with ClientSession(read, write) as session:
await session.initialize()
# Retrieve entity from memory
result = await session.call_tool(
"retrieve_entity",
arguments={"name": f"pattern_{pattern_id}"}
)
if result and hasattr(result, 'content'):
data = json.loads(result.content[0].text)
logger.info(f"Retrieved pattern analysis: {pattern_id}")
return data
return None
except Exception as e:
logger.error(f"Error retrieving pattern analysis: {e}")
return None
async def store_transformation_example(self, example_id: str, example: Dict) -> bool:
"""
Store a successful transformation example.
Args:
example_id: Unique identifier for the example
example: Example data containing before/after code
Returns:
True if successful, False otherwise
"""
try:
server_params = self.mcp_manager.get_server_params(self.server_name)
if not server_params:
logger.error(f"{self.server_name} MCP server not registered")
return False
async with stdio_client(server_params) as (read, write):
async with ClientSession(read, write) as session:
await session.initialize()
result = await session.call_tool(
"store_entity",
arguments={
"name": f"example_{example_id}",
"content": json.dumps(example)
}
)
logger.info(f"Stored transformation example: {example_id}")
return True
except Exception as e:
logger.error(f"Error storing transformation example: {e}")
return False
async def get_transformation_examples(self, pattern_type: str, limit: int = 5) -> list:
"""
Retrieve transformation examples for a pattern type.
Args:
pattern_type: Type of pattern to get examples for
limit: Maximum number of examples to return
Returns:
List of transformation examples
"""
try:
server_params = self.mcp_manager.get_server_params(self.server_name)
if not server_params:
logger.error(f"{self.server_name} MCP server not registered")
return []
async with stdio_client(server_params) as (read, write):
async with ClientSession(read, write) as session:
await session.initialize()
# Search for examples matching pattern type
# Note: This is a simplified implementation
# In production, you'd want more sophisticated querying
examples = []
for i in range(limit):
try:
result = await session.call_tool(
"retrieve_entity",
arguments={"name": f"example_{pattern_type}_{i}"}
)
if result and hasattr(result, 'content'):
example = json.loads(result.content[0].text)
examples.append(example)
except:
break
logger.info(f"Retrieved {len(examples)} transformation examples")
return examples
except Exception as e:
logger.error(f"Error retrieving transformation examples: {e}")
return []
async def clear_cache(self) -> bool:
"""
Clear all cached data.
Returns:
True if successful, False otherwise
"""
try:
# Note: Memory MCP may not have a clear_all method
# This is a placeholder for future implementation
logger.info("Cache cleared (placeholder)")
return True
except Exception as e:
logger.error(f"Error clearing cache: {e}")
return False
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