diff --git a/Makefile b/Makefile index ae20cd09..af302a2d 100644 --- a/Makefile +++ b/Makefile @@ -28,6 +28,6 @@ clean: find . -type f -name '*.pyc' -delete find . -type d -name '__pycache__' -exec rm -r {} + - +# run inspector tool run-dev: - uv run fastmcp dev src/basic_memory/mcp/main.py \ No newline at end of file + uv run mcp dev src/basic_memory/mcp/main.py \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index b484a21d..731142c1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,7 +20,6 @@ dependencies = [ "basic-foundation", "markdown-it-py>=3.0.0", "python-frontmatter>=1.1.0", - "fastmcp>=0.4.1", "rich>=13.9.4", "unidecode>=1.3.8", ] diff --git a/src/basic_memory/api/routers/knowledge_router.py b/src/basic_memory/api/routers/knowledge_router.py index a48265e1..b5c89006 100644 --- a/src/basic_memory/api/routers/knowledge_router.py +++ b/src/basic_memory/api/routers/knowledge_router.py @@ -1,6 +1,8 @@ """Router for knowledge graph operations.""" -from fastapi import APIRouter, HTTPException, BackgroundTasks, Depends +from typing import Annotated + +from fastapi import APIRouter, HTTPException, BackgroundTasks, Depends, Query from loguru import logger from basic_memory.deps import ( @@ -8,7 +10,6 @@ from basic_memory.deps import ( get_search_service, RelationServiceDep, ObservationServiceDep, - FileServiceDep, ) from basic_memory.schemas import ( CreateEntityRequest, @@ -16,7 +17,6 @@ from basic_memory.schemas import ( CreateRelationsRequest, EntityResponse, AddObservationsRequest, - OpenNodesRequest, DeleteEntitiesResponse, DeleteObservationsRequest, DeleteRelationsRequest, @@ -119,9 +119,7 @@ async def add_observations( @router.get("/entities/{permalink:path}", response_model=EntityResponse) async def get_entity( entity_service: EntityServiceDep, - file_service: FileServiceDep, permalink: PathId, - content: bool = False, # New parameter ) -> EntityResponse: """Get a specific entity by ID. @@ -133,22 +131,19 @@ async def get_entity( try: entity = await entity_service.get_by_permalink(permalink) entity_response = EntityResponse.model_validate(entity) - - if content: # Load content if requested - content = await file_service.read_entity_content(entity) - entity_response.content = content - return entity_response except EntityNotFoundError: raise HTTPException(status_code=404, detail=f"Entity with {permalink} not found") -@router.post("/nodes", response_model=EntityListResponse) -async def open_nodes( - data: OpenNodesRequest, entity_service: EntityServiceDep +@router.get("/entities", response_model=EntityListResponse) +async def get_entities( + entity_service: EntityServiceDep, + permalink: Annotated[list[str] | None, Query()] = None, ) -> EntityListResponse: - """Open specific nodes""" - entities = await entity_service.open_nodes(data.permalinks) + """Open specific entities""" + # permalink is a list of parameters on the request ?permalink=foo + entities = await entity_service.get_entities_by_permalinks(permalink) return EntityListResponse( entities=[EntityResponse.model_validate(entity) for entity in entities] ) diff --git a/src/basic_memory/mcp/async_client.py b/src/basic_memory/mcp/async_client.py index 42c98248..2aa3a33a 100644 --- a/src/basic_memory/mcp/async_client.py +++ b/src/basic_memory/mcp/async_client.py @@ -6,3 +6,5 @@ BASE_URL = "http://test" # Create shared async client client = AsyncClient(transport=ASGITransport(app=fastapi_app), base_url=BASE_URL) + + diff --git a/src/basic_memory/mcp/main.py b/src/basic_memory/mcp/main.py index 2a27cf26..96138a85 100644 --- a/src/basic_memory/mcp/main.py +++ b/src/basic_memory/mcp/main.py @@ -3,46 +3,21 @@ Creates and configures the shared MCP instance and handles server startup. """ -import sys from loguru import logger from basic_memory.config import config + # Import shared mcp instance from basic_memory.mcp.server import mcp # Import tools to register them -from basic_memory.mcp.tools import knowledge, search, discovery, help -__all__ = ["mcp", "knowledge", "search", "discovery", "help"] +from basic_memory.mcp.tools import knowledge, search, discussion, activity - -def setup_logging(home_dir: str = config.home, log_file: str = "basic-memory.log"): - """Configure logging for the application.""" - # Remove default handler - logger.remove() - log = f"{home_dir}/{log_file}" - - # Add file handler with rotation - logger.add( - log, - rotation="100 MB", - retention="10 days", - backtrace=True, - diagnose=True, - enqueue=True, - colorize=False, - ) - - # Add stderr handler - logger.add( - sys.stderr, - colorize=True, - ) +__all__ = ["knowledge", "search", "discussion", "activity"] if __name__ == "__main__": - home_dir = config.home - setup_logging(home_dir) logger.info("Starting Basic Memory MCP server") - logger.info(f"Home directory: {home_dir}" ) - mcp.run() \ No newline at end of file + logger.info(f"Home directory: {home_dir}") + mcp.run() diff --git a/src/basic_memory/mcp/server.py b/src/basic_memory/mcp/server.py index b6d57bc7..c9b818bc 100644 --- a/src/basic_memory/mcp/server.py +++ b/src/basic_memory/mcp/server.py @@ -1,188 +1,9 @@ """Enhanced FastMCP server instance for Basic Memory.""" -from typing import Any, Callable, Dict, List, Optional, Type, Union - -from fastmcp import FastMCP -import inspect -from pydantic import BaseModel, Field, TypeAdapter -from loguru import logger - -from fastmcp.tools import Tool as FastMCPTool -from fastmcp.tools.tool_manager import ToolManager as FastMCPToolManager - - -class BasicMemoryServer(FastMCP): - """Enhanced FastMCP server with schema support.""" - - def __init__(self, name: str | None = None, **settings: Any): - super().__init__(name=name, **settings) - # Replace default tool manager with our enhanced version - self._tool_manager = EnhancedToolManager( - warn_on_duplicate_tools=self.settings.warn_on_duplicate_tools - ) - - def tool( - self, - name: Optional[str] = None, - description: Optional[str] = None, - examples: Optional[List[Dict]] = None, - category: Optional[str] = None, - output_model: Any = None, - ): - """Decorator to register an enhanced tool.""" - def decorator(fn: Callable) -> Callable: - tool = self._tool_manager.add_tool( - fn, - name=name, - description=description, - examples=examples, - category=category, - output_model=output_model - ) - return fn - - return decorator - - -class ToolExample(BaseModel): - """Example usage of a tool.""" - name: str = Field(description="Name of the example") - description: str = Field(description="Description of what the example demonstrates") - code: str = Field(description="Example code showing how to use the tool") - - -class EnhancedTool(FastMCPTool): - """Extended tool registration with rich metadata.""" - examples: List[ToolExample] = Field(default_factory=list) - category: Optional[str] = Field(None) - input_schema: Optional[Dict] = Field(None) - output_schema: Optional[Dict] = Field(None) - output_model: Any = Field(None) - - @staticmethod - def _get_schema(type_: Any) -> Optional[Dict[str, Any]]: - """Get JSON schema for a type using TypeAdapter.""" - try: - # If it's already a dict schema, return it - if isinstance(type_, dict): - return type_ - - # Handle simple types directly - if type_ in (str, int, float, bool): - return {"type": { - str: "string", - int: "integer", - float: "number", - bool: "boolean" - }[type_]} - - # Try using TypeAdapter for complex types - adapter = TypeAdapter(type_) - return adapter.json_schema() - except Exception as e: - logger.debug(f"Error getting schema for {type_}: {e}") - return None - - @classmethod - def from_function( - cls, - fn: Callable, - name: Optional[str] = None, - description: Optional[str] = None, - examples: Optional[List[Dict]] = None, - category: Optional[str] = None, - output_model: Any = None, - ) -> "EnhancedTool": - """Create an enhanced tool from a function.""" - # First create the base tool - base_tool = super().from_function(fn, name=name, description=description) - - # Get output schema - output_schema = None - if output_model: - logger.debug(f"Getting schema for output_model {output_model}") - output_schema = cls._get_schema(output_model) - else: - # Try return type annotation - sig = inspect.signature(fn) - return_type = sig.return_annotation - if return_type != inspect.Signature.empty: - logger.debug(f"Getting schema from return type {return_type}") - output_schema = cls._get_schema(return_type) - - # Provide basic schema if we couldn't get a proper one - if output_schema is None: - output_schema = {"type": "object"} - - # Convert examples to ToolExample models - tool_examples = [ToolExample(**ex) for ex in (examples or [])] - - return cls( - fn=fn, - name=base_tool.name, - description=base_tool.description, - parameters=base_tool.parameters, - fn_metadata=base_tool.fn_metadata, - is_async=base_tool.is_async, - context_kwarg=base_tool.context_kwarg, - examples=tool_examples, - category=category, - input_schema=base_tool.parameters, - output_schema=output_schema, - output_model=output_model, - ) - - def get_schema(self) -> Dict: - """Get complete tool schema including examples and metadata.""" - return { - "name": self.name, - "description": self.description, - "category": self.category, - "input_schema": self.input_schema, - "output_schema": self.output_schema, - "examples": [ex.model_dump() for ex in self.examples], - } - - -class EnhancedToolManager(FastMCPToolManager): - """Tool manager with enhanced metadata support.""" - - def add_tool( - self, - fn: Callable, - name: Optional[str] = None, - description: Optional[str] = None, - examples: Optional[List[Dict]] = None, - category: Optional[str] = None, - output_model: Any = None, - ) -> EnhancedTool: - """Add a tool with enhanced metadata.""" - tool = EnhancedTool.from_function( - fn, - name=name, - description=description, - examples=examples, - category=category, - output_model=output_model - ) - self._tools[tool.name] = tool - return tool - - def get_schema_catalog(self) -> Dict: - """Get complete schema catalog for all tools.""" - catalog = {"tools": {}, "categories": {}} - - for tool in self._tools.values(): - if isinstance(tool, EnhancedTool): - catalog["tools"][tool.name] = tool.get_schema() - - if tool.category: - if tool.category not in catalog["categories"]: - catalog["categories"][tool.category] = {"name": tool.category, "tools": []} - catalog["categories"][tool.category]["tools"].append(tool.name) - - return catalog +from mcp.server.fastmcp import FastMCP +from mcp.server.fastmcp.utilities.logging import configure_logging +configure_logging(level="INFO") # Create the shared server instance -mcp = BasicMemoryServer("Basic Memory") \ No newline at end of file +mcp = FastMCP("Basic Memory") diff --git a/src/basic_memory/mcp/tools/__init__.py b/src/basic_memory/mcp/tools/__init__.py index 3dfb3b7f..b821d46d 100644 --- a/src/basic_memory/mcp/tools/__init__.py +++ b/src/basic_memory/mcp/tools/__init__.py @@ -8,9 +8,8 @@ all tools with the MCP server. # Import tools to register them with MCP from basic_memory.mcp.tools import knowledge # noqa: F401 from basic_memory.mcp.tools import search # noqa: F401 -from basic_memory.mcp.tools import discovery # noqa: F401 from basic_memory.mcp.tools import activity # noqa: F401 -from basic_memory.mcp.tools.discussion import get_discussion_context +from basic_memory.mcp.tools.discussion import build_context # Export the tools from basic_memory.mcp.tools.knowledge import ( @@ -20,17 +19,10 @@ from basic_memory.mcp.tools.knowledge import ( delete_entities, delete_observations, delete_relations, - get_entity, + get_entity, + get_entities, ) -from basic_memory.mcp.tools.search import ( - search, - open_nodes, -) - -from basic_memory.mcp.tools.discovery import ( - get_observation_categories, -) from basic_memory.mcp.tools.activity import ( get_recent_activity, @@ -45,18 +37,15 @@ __all__ = [ "delete_entities", "delete_observations", "delete_relations", + "get_entity", + "get_entities", # Search tools "search", - "get_entity", - "open_nodes", - - # Discovery tools - "get_observation_categories", # Activity tools "get_recent_activity", # memory tools - "get_discussion_context" + "build_context" ] \ No newline at end of file diff --git a/src/basic_memory/mcp/tools/activity.py b/src/basic_memory/mcp/tools/activity.py index 0a30732d..699f39ac 100644 --- a/src/basic_memory/mcp/tools/activity.py +++ b/src/basic_memory/mcp/tools/activity.py @@ -3,6 +3,7 @@ from typing import List, Optional from loguru import logger +from mcp.server.fastmcp import Context from basic_memory.mcp.async_client import client from basic_memory.mcp.server import mcp @@ -10,114 +11,10 @@ from basic_memory.schemas.activity import ActivityType, RecentActivity @mcp.tool( - category="activity", description="Track recent changes to documents, entities, and relations", - examples=[ - { - "name": "Activity Summary", - "description": "Get a high-level overview of changes", - "code": """ -# Get last 24 hours of activity -activity = await get_recent_activity() - -# Print summary statistics -print(f"Total changes: {len(activity.changes)}") -print(f"Documents modified: {activity.summary.document_changes}") -print(f"Entities modified: {activity.summary.entity_changes}") -print(f"Relations changed: {activity.summary.relation_changes}") - -# Show most active areas -print("\\nMost active paths:") -for path in activity.summary.most_active_paths: - print(f"- {path}") -""", - }, - { - "name": "Document Changes", - "description": "Track document evolution over time", - "code": """ -# Get hourly document changes with context -docs = await get_recent_activity( - timeframe="1h", - activity_types=[ActivityType.DOCUMENT] -) - -# Show document evolution chronologically -for change in sorted(docs.changes, key=lambda x: x.timestamp): - print(f"{change.timestamp}: {change.permalink}") - print(f" {change.change_type}: {change.summary}") -""", - }, - { - "name": "Knowledge Evolution", - "description": "Analyze how knowledge structure changes over time", - "code": """ -# Get weekly activity for change pattern analysis -weekly = await get_recent_activity(timeframe="1w") - -# Group changes by type for pattern analysis -from collections import defaultdict -changes_by_type = defaultdict(list) -for change in weekly.changes: - changes_by_type[change.activity_type].append(change) - -# Analyze change distribution -for type_, changes in changes_by_type.items(): - print(f"{type_}: {len(changes)} changes") - -# Find most modified entities -entity_changes = defaultdict(int) -for change in weekly.changes: - if change.activity_type == "entity": - entity_changes[change.permalink] += 1 - -print("\\nMost active entities:") -for permalink, count in sorted( - entity_changes.items(), - key=lambda x: x[1], - reverse=True -)[:5]: - print(f"- {permalink}: {count} changes") -""", - }, - { - "name": "Context Building", - "description": "Use activity history to build rich context", - "code": """ -# Get recent activity across all types -activity = await get_recent_activity(timeframe="1d") - -# Extract changed entities for deeper analysis -entity_ids = [ - change.permalink for change in activity.changes - if change.activity_type == "entity" -] - -# Load full entity details -if entity_ids: - entities = await open_nodes( - request=OpenNodesRequest(permalinks=entity_ids) - ) - - # Analyze recent development focus - tech_changes = defaultdict(list) - for entity in entities.entities: - tech_obs = [o for o in entity.observations - if o.category == "tech"] - if tech_obs: - tech_changes[entity.name] = tech_obs - - print("Recent technical changes:") - for name, observations in tech_changes.items(): - print(f"\\n{name}:") - for obs in observations: - print(f"- {obs.content}") -""", - }, - ], - output_model=RecentActivity, ) async def get_recent_activity( + context: Context, timeframe: str = "1d", activity_types: Optional[List[ActivityType]] = None, ) -> RecentActivity: @@ -126,11 +23,12 @@ async def get_recent_activity( Args: timeframe: Time window to analyze ("1h", "1d", "1w") activity_types: Optional list of types to filter by + context: MCP context Returns: RecentActivity object with changes and summary statistics """ - logger.debug(f"Getting recent activity (timeframe={timeframe}, types={activity_types})") + context.info(f"Getting recent activity (timeframe={timeframe}, types={activity_types})") # Build params params = { diff --git a/src/basic_memory/mcp/tools/discovery.py b/src/basic_memory/mcp/tools/discovery.py deleted file mode 100644 index 1b69625f..00000000 --- a/src/basic_memory/mcp/tools/discovery.py +++ /dev/null @@ -1,93 +0,0 @@ -"""Tools for discovering and analyzing knowledge graph structure.""" - -from typing import List, Optional - -from loguru import logger - -from basic_memory.mcp.server import mcp -from basic_memory.schemas import EntityTypeList, ObservationCategoryList, TypedEntityList -from basic_memory.mcp.async_client import client - - - -@mcp.tool( - category="discovery", - description="List all unique observation categories used in the knowledge base", - examples=[ - { - "name": "Category Usage", - "description": "Analyze how categories are used across entity types", - "code": """ -# Get all categories -categories = await get_observation_categories() - -# Get usage patterns by entity type -types = await get_entity_types() - -usage_patterns = defaultdict(lambda: defaultdict(int)) -for entity_type in types["types"]: - # Get entities of this type - entities = await list_by_type(entity_type) - - # Count category usage - for entity in entities.entities: - for obs in entity.observations: - usage_patterns[entity_type][obs.category] += 1 - -# Show category usage patterns -print("Category Usage Patterns:") -for entity_type, patterns in usage_patterns.items(): - if patterns: - print(f"\\n{entity_type}:") - for category, count in patterns.items(): - print(f"- {category}: {count} observations")""" - }, - { - "name": "Knowledge Organization", - "description": "Analyze knowledge organization patterns", - "code": """ -# Get all categories and entities -categories = await get_observation_categories() -results = await search_nodes( - request=SearchNodesRequest( - query="implementation architecture", - category=None # Search all categories - ) -) - -# Analyze knowledge structure -category_content = defaultdict(list) -for entity in results.matches: - for obs in entity.observations: - category_content[obs.category].append({ - "entity": entity.name, - "content": obs.content, - "context": obs.context - }) - -# Show how knowledge is organized -print("Knowledge Organization Analysis:") -for category in categories: - content = category_content.get(category, []) - if content: - print(f"\\n{category.upper()} ({len(content)} items):") - # Show example content - examples = content[:3] - for ex in examples: - context = f" ({ex['context']})" if ex['context'] else "" - print(f"- {ex['entity']}: {ex['content']}{context}")""" - } - ], - output_model=List[str] -) -async def get_observation_categories() -> List[str]: - """List all unique observation categories in use. - - Returns: - List of unique category names used for observations - """ - logger.debug("Getting all observation categories") - url = "/discovery/observation-categories" - response = await client.get(url) - return ObservationCategoryList.model_validate(response.json()) - diff --git a/src/basic_memory/mcp/tools/discussion.py b/src/basic_memory/mcp/tools/discussion.py index dfada2b4..d47a7e31 100644 --- a/src/basic_memory/mcp/tools/discussion.py +++ b/src/basic_memory/mcp/tools/discussion.py @@ -2,80 +2,18 @@ from typing import Optional +from loguru import logger + from basic_memory.mcp.async_client import client from basic_memory.mcp.server import mcp from basic_memory.schemas.memory import GraphContext, MemoryUrl @mcp.tool( - category="discussion", - description="Get discussion context from a memory:// URI to continue conversations naturally.", - examples=[ - { - "name": "Continue Previous Discussion", - "description": "Load context to continue a technical discussion", - "code": """ -# Get context for previous discussion about search -context = await get_discussion_context( - url="memory://specs/search-refactor", - depth=2, - timeframe="7d" + name="Build Context", + description="Build context from a memory:// URI to continue conversations naturally.", ) - -# Access the context components -primary = context.primary_entities # Main discussion topic -related = context.related_entities # Related concepts -meta = context.metadata # Discussion metadata - -# Analyze primary discussion topics -print("\\nPrimary Discussion Topic:") -for entity in primary: - print(f"- {entity.title}") - print(f" Type: {entity.type}") - if "status" in entity.metadata: - print(f" Status: {entity.metadata['status']}") - -# Analyze related content -print("\\nRelated Topics:") -for item in related: - print(f"- {item.title}") - if item.relation_type: - print(f" Relation: {item.relation_type}") -""" - }, - { - "name": "Pattern Matching and Time Filtering", - "description": "Search for matching discussions within a timeframe", - "code": """ -# Find recent discussions matching a pattern -context = await get_discussion_context( - url="memory://design/*", # Match all design documents - depth=1, # Direct relations only - timeframe="3d" # Last 3 days only -) - -print(f"Found {context.metadata['matched_entities']} matching discussions") -print(f"Total related items: {context.metadata['total_entities']}") - -# Group by document type -by_type = {} -for entity in context.primary_entities: - doc_type = entity.type - if doc_type not in by_type: - by_type[doc_type] = [] - by_type[doc_type].append(entity) - -# Show summary by type -for doc_type, entities in by_type.items(): - print(f"\\n{doc_type.title()}:") - for entity in entities: - print(f"- {entity.title}") - print(f" Added: {entity.metadata.get('created_at', 'Unknown')}") -""" - } - ], -) -async def get_discussion_context( +async def build_context( url: MemoryUrl, depth: Optional[int] = 2, timeframe: Optional[str] = "7d", @@ -87,6 +25,7 @@ async def get_discussion_context( a rich context graph of related information. Args: + ctx: MCP context url: memory:// URI pointing to discussion content (e.g. memory://specs/search) depth: How many relation hops to traverse (default: 2) timeframe: How far back to look, e.g. "7d", "24h" (default: "7d") @@ -97,6 +36,7 @@ async def get_discussion_context( - related_entities: Connected content via relations - metadata: Context building info """ + logger.info(f"Building context from {url}") # Map directly to the memory endpoint memory_url = MemoryUrl.validate(url) response = await client.get( diff --git a/src/basic_memory/mcp/tools/help.py b/src/basic_memory/mcp/tools/help.py deleted file mode 100644 index b1752631..00000000 --- a/src/basic_memory/mcp/tools/help.py +++ /dev/null @@ -1,151 +0,0 @@ -"""Help and schema introspection tools.""" - -from typing import Dict, List, Optional - -from pydantic import BaseModel, Field - -from basic_memory.mcp.server import mcp - - -class ToolExample(BaseModel): - """Example usage of a tool.""" - name: str = Field(description="Name of the example") - description: str = Field(description="Description of what the example demonstrates") - code: str = Field(description="Example code showing how to use the tool") - - -class ToolSchema(BaseModel): - """Schema information for a single tool.""" - name: str = Field(description="Name of the tool") - description: str = Field(description="Description of what the tool does") - category: Optional[str] = Field(None, description="Optional category for organization") - input_schema: Dict = Field(description="Schema for tool inputs") - output_schema: Dict = Field(description="Schema for tool outputs") - examples: List[ToolExample] = Field( - default_factory=list, - description="Example usages of the tool" - ) - - -class CategoryInfo(BaseModel): - """Information about a tool category.""" - name: str = Field(description="Category name") - tools: List[str] = Field(description="Tools in this category") - - -class SchemaCatalog(BaseModel): - """Complete schema catalog for all tools.""" - tools: Dict[str, ToolSchema] = Field( - description="Map of tool names to their schemas" - ) - categories: Dict[str, CategoryInfo] = Field( - default_factory=dict, - description="Tool categories and their tools" - ) - referenced_models: Dict[str, Dict] = Field( - default_factory=dict, - description="Shared type definitions used by tools", - alias="referencedModels" - ) - - class Config: - """Pydantic config.""" - json_schema_extra = { - "description": "Tool schema catalog showing available tools and their capabilities" - } - - -@mcp.tool( - category="system", - description="Get schema information about available tools and their capabilities", - examples=[ - { - "name": "View All Tools", - "description": "Get complete schema catalog", - "code": """ -# Get full tool catalog -catalog = await get_schema() - -# Show available tools by category -for category, info in catalog['categories'].items(): - print(f"\\n{category.title()}:") - for tool in info['tools']: - print(f"- {tool}") -""" - }, - { - "name": "Tool Details", - "description": "Examine specific tool schema", - "code": """ -# Get schema for create_entities -tool = await get_schema( - tool_name="create_entities", - include_referenced=True # Include type definitions -) - -# Show input/output types -print("Inputs:") -for param, info in tool['tools']['create_entities']['inputSchema']['properties'].items(): - print(f"- {param}: {info.get('description', '')}") - -print("\\nOutput:") -print(tool['tools']['create_entities']['outputSchema']['description']) -""" - }, - { - "name": "Simple Schema", - "description": "Get minimal schema without examples", - "code": """ -# Get core schema without examples -schema = await get_schema( - include_examples=False, - include_referenced=False -) - -# List available tools -tools = list(schema['tools'].keys()) -print("Available tools:") -for tool in sorted(tools): - print(f"- {tool}") -""" - } - ], - output_model=SchemaCatalog -) -async def get_schema( - tool_name: Optional[str] = None, - include_examples: bool = True, - include_referenced: bool = True -) -> Dict: - """Get schema information about available tools.""" - # Our tool manager has the enhanced schema support - catalog = mcp._tool_manager.get_schema_catalog() - - # Filter if specific tool requested - if tool_name: - if tool_name not in catalog["tools"]: - raise ValueError(f"Unknown tool: {tool_name}") - - tool_schema = catalog["tools"][tool_name] - - if not include_examples: - tool_schema.pop("examples", None) - - if include_referenced: - response = { - "tools": {tool_name: tool_schema}, - "referencedModels": tool_schema.get("referencedModels", {}) - } - else: - response = {"tools": {tool_name: tool_schema}} - - return SchemaCatalog.model_validate(response).model_dump() - - # Return full catalog with requested inclusions - result = catalog - - if not include_examples: - for tool in result["tools"].values(): - tool.pop("examples", None) - - return SchemaCatalog.model_validate(result).model_dump() \ No newline at end of file diff --git a/src/basic_memory/mcp/tools/knowledge.py b/src/basic_memory/mcp/tools/knowledge.py index ee50d518..50d17ca2 100644 --- a/src/basic_memory/mcp/tools/knowledge.py +++ b/src/basic_memory/mcp/tools/knowledge.py @@ -1,15 +1,16 @@ """Knowledge graph management tools for Basic Memory MCP server.""" -from typing import Dict - import httpx +from loguru import logger from basic_memory.mcp.server import mcp +from basic_memory.mcp.tools.utils import call_get from basic_memory.schemas.base import PathId from basic_memory.schemas.request import ( CreateEntityRequest, CreateRelationsRequest, AddObservationsRequest, + GetEntitiesRequest, ) from basic_memory.schemas.delete import ( DeleteEntitiesRequest, @@ -22,141 +23,39 @@ from basic_memory.services.exceptions import EntityNotFoundError @mcp.tool( - category="knowledge", description="Create new entities in the knowledge graph with names, types, and observations", - examples=[ - { - "name": "Create Component", - "description": "Create a new technical component", - "code": """ -# Create search service component -await create_entities({ - "entities": [{ - "name": "SearchService", - "entity_type": "component", - "description": "Full-text search capability", - "observations": [ - "Implements FTS5 for better performance", - "Supports fuzzy matching", - "Handles multiple indexes" - ] - }] -}) -""", - }, - { - "name": "Create Feature", - "description": "Document a user-facing feature", - "code": """ -# Create feature with implementation notes -await create_entities({ - "entities": [{ - "name": "SemanticSearch", - "entity_type": "feature", - "description": "Natural language search across knowledge base", - "observations": [ - "Uses embeddings for matching", - "Supports fuzzy queries", - "Ranks results by relevance" - ] - }] -}) -""", - }, - ], - output_model=EntityListResponse, ) async def create_entities(request: CreateEntityRequest) -> EntityListResponse: """Create new entities in the knowledge graph.""" + logger.info(f"Creating {len(request.entities)} entities") url = "/knowledge/entities" response = await client.post(url, json=request.model_dump()) return EntityListResponse.model_validate(response.json()) @mcp.tool( - category="knowledge", description="Create typed relationships between existing entities", - examples=[ - { - "name": "Add Dependency", - "description": "Create dependency relationship between components", - "code": """ -# Document component dependency -await create_relations({ - "relations": [{ - "from_id": "component/search_service", - "to_id": "component/storage_service", - "relation_type": "depends_on", - "context": "Needs storage for search indexes" - }] -}) -""", - }, - { - "name": "Link Implementation", - "description": "Connect implementation to feature", - "code": """ -# Link component to feature -await create_relations({ - "relations": [{ - "from_id": "component/search_service", - "to_id": "feature/semantic_search", - "relation_type": "implements", - "context": "Primary search implementation" - }] -}) -""", - }, - ], - output_model=EntityListResponse, ) async def create_relations(request: CreateRelationsRequest) -> EntityListResponse: """Create relations between existing entities.""" + logger.info(f"Creating {len(request.relations)} relations") url = "/knowledge/relations" response = await client.post(url, json=request.model_dump()) return EntityListResponse.model_validate(response.json()) @mcp.tool( - category="knowledge", description="Get complete information about a specific entity including observations and relations", - examples=[ - { - "name": "View Component Details", - "description": "Get complete component information", - "code": """ -# Get component implementation details -component = await get_entity("component/search_service") - -# Show technical details -tech_notes = [obs for obs in component.observations - if obs.category == "tech"] -print(f"{component.name} Implementation:") -for note in tech_notes: - print(f"- {note.content}") - -# Show dependencies -deps = [rel for rel in component.relations - if rel.relation_type == "depends_on"] -print("\\nDependencies:") -for dep in deps: - print(f"- {dep.to_id}") -""", - } - ], - output_model=EntityResponse, ) -async def get_entity(permalink: PathId, content: bool = False) -> EntityResponse: - """Get a specific entity by its permalink. +async def get_entity(permalink: PathId) -> EntityResponse: + """Get a specific entity info by its permalink. Args: permalink: Path identifier for the entity - content: If True, includes the full markdown content of the entity """ try: url = f"/knowledge/entities/{permalink}" - params = {"content": "true"} if content else {} - response = await client.get(url, params=params) + response = await client.get(url) if response.status_code == 404: raise EntityNotFoundError(f"Entity not found: {permalink}") response.raise_for_status() @@ -168,40 +67,30 @@ async def get_entity(permalink: PathId, content: bool = False) -> EntityResponse @mcp.tool( - description="Add categorized observations to an existing entity", - examples=[ - { - "name": "Add Implementation Notes", - "description": "Document technical implementation details", - "code": """ -# Add technical observations -await add_observations( - request=AddObservationsRequest( - permalink="component/search_service", - context="Performance optimization", - observations=[ - ObservationCreate( - category="tech", - content="Implemented FTS5 for better search" - ), - ObservationCreate( - category="tech", - content="Added result caching" - ), - ObservationCreate( - category="design", - content="Chose FTS5 for better ranking" - ) - ] - ) + description="Load multiple entities by their permalinks in a single request", ) -""", - } - ], - output_model=EntityResponse, +async def get_entities(request: GetEntitiesRequest) -> EntityListResponse: + """Load multiple entities by their permalinks. + + Args: + request: OpenNodesRequest containing list of permalinks to load + + Returns: + EntityListResponse containing complete details for each requested entity + """ + url = "/knowledge/entities" + response = await call_get( + client, url, params=[("permalink", permalink) for permalink in request.permalinks] + ) + return EntityListResponse.model_validate(response.json()) + + +@mcp.tool( + description="Add categorized observations to an existing entity", ) async def add_observations(request: AddObservationsRequest) -> EntityResponse: """Add observations to an existing entity.""" + logger.info(f"Adding {len(request.observations)} observations to {request.permalink}") url = "/knowledge/observations" response = await client.post(url, json=request.model_dump()) return EntityResponse.model_validate(response.json()) @@ -209,25 +98,6 @@ async def add_observations(request: AddObservationsRequest) -> EntityResponse: @mcp.tool( description="Delete specific observations from an entity while preserving other content", - examples=[ - { - "name": "Remove Obsolete Notes", - "description": "Delete outdated observations", - "code": """ -# Remove old implementation notes -await delete_observations( - request=DeleteObservationsRequest( - permalink="component/indexer", - observations=[ - "Using old indexing algorithm", - "Temporary workaround for issue #123" - ] - ) -) -""", - } - ], - output_model=EntityResponse, ) async def delete_observations(request: DeleteObservationsRequest) -> EntityResponse: """Delete specific observations from an entity.""" @@ -238,25 +108,6 @@ async def delete_observations(request: DeleteObservationsRequest) -> EntityRespo @mcp.tool( description="Delete relationships between entities while preserving the entities themselves", - examples=[ - { - "name": "Remove Dependency", - "description": "Delete an obsolete dependency", - "code": """ -# Remove old dependency -await delete_relations( - request=DeleteRelationsRequest( - relations=[{ - "from_id": "component/search", - "to_id": "component/old_index", - "relation_type": "depends_on" - }] - ) -) -""", - } - ], - output_model=EntityListResponse, ) async def delete_relations(request: DeleteRelationsRequest) -> EntityListResponse: """Delete relations between entities.""" @@ -267,24 +118,6 @@ async def delete_relations(request: DeleteRelationsRequest) -> EntityListRespons @mcp.tool( description="Permanently delete entities and all related content (observations and relations)", - examples=[ - { - "name": "Remove Old Components", - "description": "Delete obsolete components", - "code": """ -# Remove deprecated components -await delete_entities( - request=DeleteEntitiesRequest( - permalinks=[ - "component/old_service", - "test/obsolete_test" - ] - ) -) -""", - } - ], - output_model=Dict[str, bool], ) async def delete_entities(request: DeleteEntitiesRequest) -> DeleteEntitiesResponse: """Delete entities from the knowledge graph.""" diff --git a/src/basic_memory/mcp/tools/search.py b/src/basic_memory/mcp/tools/search.py index 7215803a..683adb7f 100644 --- a/src/basic_memory/mcp/tools/search.py +++ b/src/basic_memory/mcp/tools/search.py @@ -1,161 +1,17 @@ """Search tools for Basic Memory MCP server.""" +from mcp.server.fastmcp import Context from basic_memory.mcp.server import mcp from basic_memory.schemas.search import SearchQuery, SearchResponse -from basic_memory.schemas.request import OpenNodesRequest +from basic_memory.schemas.request import GetEntitiesRequest from basic_memory.schemas.response import EntityListResponse from basic_memory.mcp.async_client import client @mcp.tool( - category="search", description="Search across all content in basic-memory, including documents and entities", - examples=[ - { - "name": "Basic Full-text Search with Analysis", - "description": "Search and analyze results by metadata categories", - "code": """ -# Full text search -results = await search( - query=SearchQuery( - text="implementation" # Full text query - ) ) - -# Group by status and type -by_status = defaultdict(list) -by_type = defaultdict(list) - -for result in results.results: - meta = result.metadata - path = result.permalink - - # Group by status if available - if "status" in meta: - by_status[meta["status"]].append(path) - - # Always group by type - by_type[result.type].append(path) - -print("\\nBy Status:") -for status, paths in by_status.items(): - print(f"\\n{status.title()}:") - for path in paths: - print(f"- {path}") - -print("\\nBy Type:") -for type_, paths in by_type.items(): - print(f"\\n{type_.title()}:") - for path in paths: - print(f"- {path}") -""", - }, - { - "name": "Recent Changes in Entity Types", - "description": "Find recent changes in specific entity types", - "code": """ -from datetime import datetime, timezone, timedelta - -# Set search parameters -cutoff = datetime.now(timezone.utc) - timedelta(days=7) -entity_types = ["component", "specification"] - -# Search for recent changes -results = await search( - query=SearchQuery( - text="*", # Match all - entity_types=entity_types, - after_date=cutoff.isoformat() - ) -) - -# Sort by update time -sorted_results = sorted( - results.results, - key=lambda x: x.metadata.get("updated_at", ""), - reverse=True -) - -print("Recent Changes:") -for result in sorted_results: - print(f"\\n{result.permalink}") - print(f"Type: {result.type}") - print(f"Score: {result.score:.2f}") - if "updated_at" in result.metadata: - print(f"Updated: {result.metadata['updated_at']}") -""", - }, - { - "name": "Technical Documentation Search", - "description": "Search technical documentation with smart filtering", - "code": """ -# Search technical documentation -results = await search( - query=SearchQuery( - text="database implementation", - types=["document"] # Only documents - ) -) - -# Filter and process results -docs = [] -for result in results.results: - meta = result.metadata - - # Include if it's a technical document - if (meta.get("category") in ["specification", "technical"] or - any(tag in meta.get("tags", []) for tag in ["technical", "spec", "documentation"])): - docs.append(result) - -# Sort by relevance score -docs.sort(key=lambda x: x.score) - -print("Technical Documentation:") -for doc in docs: - print(f"\\n{doc.permalink}") - if "title" in doc.metadata: - print(f"Title: {doc.metadata['title']}") - print(f"Score: {doc.score:.2f}") - if "tags" in doc.metadata: - print(f"Tags: {', '.join(doc.metadata['tags'])}") -""", - }, - { - "name": "Related Content Search", - "description": "Find content related to a specific entity", - "code": """ -# First get the entity to extract key terms -entity = await get_entity(permalink="component/memory_service") - -if entity: - # Build search terms from entity info - search_terms = [ - entity.get("name", ""), - *entity.get("tags", []), - entity.get("entity_type", "") - ] - - # Search using combined terms - results = await search( - query=SearchQuery( - text=" ".join(filter(None, search_terms)) - ) - ) - - # Filter out the original entity and sort by relevance - related = [r for r in results.results if r.permalink != entity["permalink"]] - related.sort(key=lambda x: x.score) - - print(f"Content Related to {entity['name']}:") - for result in related[:5]: # Top 5 most relevant - print(f"\\n{result.permalink}") - print(f"Type: {result.type}") - print(f"Score: {result.score:.2f}") -""", - }, - ], -) -async def search(query: SearchQuery) -> SearchResponse: +async def search(ctx: Context, query: SearchQuery) -> SearchResponse: """Search across all content in basic-memory. Args: @@ -168,64 +24,6 @@ async def search(query: SearchQuery) -> SearchResponse: Returns: SearchResponse with search results and metadata """ + ctx.info(f"Searching for {query.text}") response = await client.post("/search/", json=query.model_dump()) return SearchResponse.model_validate(response.json()) - - -@mcp.tool( - category="search", - description="Load multiple entities by their permalinks in a single request", - examples=[ - { - "name": "Load and Analyze Entity Context", - "description": "Load full entity details and analyze relationships", - "code": """ -# First search for related entities -results = await search( - query=SearchQuery( - text="knowledge graph", - types=["entity"], - entity_types=["component", "concept"] - ) -) - -if results.results: - # Load full context for found entities - permalinks = [r.permalink for r in results.results] - context = await open_nodes( - request=OpenNodesRequest(permalinks=permalinks) - ) - - # Analyze relationships - relationship_map = defaultdict(list) - for entity in context.entities: - print(f"\\n{entity.name} ({entity.entity_type})") - - # Group by relationship type - for relation in entity.relations: - relationship_map[relation.relation_type].append( - (entity.name, relation.to_id) - ) - - # Show relationship summary - print("\\nRelationship Summary:") - for rel_type, connections in relationship_map.items(): - print(f"\\n{rel_type}:") - for source, target in connections: - print(f"- {source} -> {target}") -""", - } - ], -) -async def open_nodes(request: OpenNodesRequest) -> EntityListResponse: - """Load multiple entities by their permalinks. - - Args: - request: OpenNodesRequest containing list of permalinks to load - - Returns: - EntityListResponse containing complete details for each requested entity - """ - url = "/knowledge/nodes" - response = await client.post(url, json=request.model_dump()) - return EntityListResponse.model_validate(response.json()) diff --git a/src/basic_memory/mcp/tools/utils.py b/src/basic_memory/mcp/tools/utils.py new file mode 100644 index 00000000..2b39ac7f --- /dev/null +++ b/src/basic_memory/mcp/tools/utils.py @@ -0,0 +1,123 @@ +import typing + +from httpx import Response, URL, AsyncClient, HTTPStatusError +from httpx._client import UseClientDefault, USE_CLIENT_DEFAULT +from httpx._types import ( + RequestContent, + RequestData, + RequestFiles, + QueryParamTypes, + HeaderTypes, + CookieTypes, + AuthTypes, + TimeoutTypes, + RequestExtensions, +) +from loguru import logger +from mcp.server.fastmcp.exceptions import ToolError + + +async def call_get( + client: AsyncClient, + url: URL | str, + *, + params: QueryParamTypes | None = None, + headers: HeaderTypes | None = None, + cookies: CookieTypes | None = None, + auth: AuthTypes | UseClientDefault | None = USE_CLIENT_DEFAULT, + follow_redirects: bool | UseClientDefault = USE_CLIENT_DEFAULT, + timeout: TimeoutTypes | UseClientDefault = USE_CLIENT_DEFAULT, + extensions: RequestExtensions | None = None, +) -> Response: + try: + response = await client.get( + url, + params=params, + headers=headers, + cookies=cookies, + auth=auth, + follow_redirects=follow_redirects, + timeout=timeout, + extensions=extensions, + ) + response.raise_for_status() + return response + except HTTPStatusError as e: + logger.error(f"Error calling GET {url}: {e}") + raise ToolError(f"Error calling tool: {e}") from e + + +async def call_put( + client: AsyncClient, + url: URL | str, + *, + content: RequestContent | None = None, + data: RequestData | None = None, + files: RequestFiles | None = None, + json: typing.Any | None = None, + params: QueryParamTypes | None = None, + headers: HeaderTypes | None = None, + cookies: CookieTypes | None = None, + auth: AuthTypes | UseClientDefault = USE_CLIENT_DEFAULT, + follow_redirects: bool | UseClientDefault = USE_CLIENT_DEFAULT, + timeout: TimeoutTypes | UseClientDefault = USE_CLIENT_DEFAULT, + extensions: RequestExtensions | None = None, +) -> Response: + try: + response = await client.put( + url, + content=content, + data=data, + files=files, + json=json, + params=params, + headers=headers, + cookies=cookies, + auth=auth, + follow_redirects=follow_redirects, + timeout=timeout, + extensions=extensions, + ) + response.raise_for_status() + return response + except HTTPStatusError as e: + logger.error(f"Error calling PUT {url}: {e}") + raise ToolError(f"Error calling tool: {e}") from e + + +async def call_post( + client: AsyncClient, + url: URL | str, + *, + content: RequestContent | None = None, + data: RequestData | None = None, + files: RequestFiles | None = None, + json: typing.Any | None = None, + params: QueryParamTypes | None = None, + headers: HeaderTypes | None = None, + cookies: CookieTypes | None = None, + auth: AuthTypes | UseClientDefault = USE_CLIENT_DEFAULT, + follow_redirects: bool | UseClientDefault = USE_CLIENT_DEFAULT, + timeout: TimeoutTypes | UseClientDefault = USE_CLIENT_DEFAULT, + extensions: RequestExtensions | None = None, +) -> Response: + try: + response = await client.post( + url=url, + content=content, + data=data, + files=files, + json=json, + params=params, + headers=headers, + cookies=cookies, + auth=auth, + follow_redirects=follow_redirects, + timeout=timeout, + extensions=extensions, + ) + response.raise_for_status() + return response + except HTTPStatusError as e: + logger.error(f"Error calling POST {url}: {e}") + raise ToolError(f"Error calling tool: {e}") from e diff --git a/src/basic_memory/schemas/__init__.py b/src/basic_memory/schemas/__init__.py index 9936cd71..2499a1ce 100644 --- a/src/basic_memory/schemas/__init__.py +++ b/src/basic_memory/schemas/__init__.py @@ -26,7 +26,7 @@ from basic_memory.schemas.request import ( AddObservationsRequest, CreateEntityRequest, SearchNodesRequest, - OpenNodesRequest, + GetEntitiesRequest, CreateRelationsRequest, UpdateEntityRequest, ) @@ -59,7 +59,7 @@ __all__ = [ "AddObservationsRequest", "CreateEntityRequest", "SearchNodesRequest", - "OpenNodesRequest", + "GetEntitiesRequest", "CreateRelationsRequest", "UpdateEntityRequest", # Responses diff --git a/src/basic_memory/schemas/request.py b/src/basic_memory/schemas/request.py index 1f175097..14370bfc 100644 --- a/src/basic_memory/schemas/request.py +++ b/src/basic_memory/schemas/request.py @@ -80,7 +80,7 @@ class SearchNodesRequest(BaseModel): category: Optional[ObservationCategory] = None -class OpenNodesRequest(BaseModel): +class GetEntitiesRequest(BaseModel): """Retrieve specific entities by their IDs. Used to load complete entity details including all observations diff --git a/src/basic_memory/services/entity_service.py b/src/basic_memory/services/entity_service.py index 8fe6bae5..21bc6ede 100644 --- a/src/basic_memory/services/entity_service.py +++ b/src/basic_memory/services/entity_service.py @@ -188,9 +188,9 @@ class EntityService(BaseService[EntityModel]): logger.debug(f"Listing entities: type={entity_type} sort={sort_by}") return await self.repository.list_entities(entity_type=entity_type, sort_by=sort_by) - async def open_nodes(self, permalinks: List[str]) -> Sequence[EntityModel]: + async def get_entities_by_permalinks(self, permalinks: List[str]) -> Sequence[EntityModel]: """Get specific nodes and their relationships.""" - logger.debug(f"Opening nodes permalinks: {permalinks}") + logger.debug(f"Getting entities permalinks: {permalinks}") return await self.repository.find_by_permalinks(permalinks) async def delete_entity_by_file_path(self, file_path): diff --git a/tests/api/test_knowledge_router.py b/tests/api/test_knowledge_router.py index 1b6465a7..0244827f 100644 --- a/tests/api/test_knowledge_router.py +++ b/tests/api/test_knowledge_router.py @@ -160,8 +160,8 @@ async def test_add_observations(client: AsyncClient): @pytest.mark.asyncio -async def test_open_nodes(client: AsyncClient): - """Should open multiple nodes by path IDs.""" +async def test_get_entities(client: AsyncClient): + """Should open multiple entities by path IDs.""" # Create a few entities with different names entities = [ {"title": "AlphaTest", "entity_type": "test"}, @@ -170,19 +170,24 @@ async def test_open_nodes(client: AsyncClient): await client.post("/knowledge/entities", json={"entities": entities}) # Open nodes by path IDs - response = await client.post( - "/knowledge/nodes", - json={"permalinks": ["alpha_test"]}, + response = await client.get( + "/knowledge/entities?permalink=alpha_test&permalink=beta_test", ) # Verify results assert response.status_code == 200 data = response.json() - assert len(data["entities"]) == 1 - entity = data["entities"][0] - assert entity["title"] == "AlphaTest" - assert entity["entity_type"] == "test" - assert entity["permalink"] == "alpha_test" + assert len(data["entities"]) == 2 + + entity_0 = data["entities"][0] + assert entity_0["title"] == "AlphaTest" + assert entity_0["entity_type"] == "test" + assert entity_0["permalink"] == "alpha_test" + + entity_1 = data["entities"][1] + assert entity_1["title"] == "BetaTest" + assert entity_1["entity_type"] == "test" + assert entity_1["permalink"] == "beta_test" @pytest.mark.asyncio @@ -574,33 +579,8 @@ async def test_update_entity_basic(client: AsyncClient): assert updated["entity_metadata"]["status"] == "draft" # Preserved -@pytest.mark.asyncio -async def test_get_entity_content_parameter(client: AsyncClient): - """Test content parameter controls content loading.""" - # Create test entity - data = { - "title": "TestContent", - "entity_type": "test", - "content": "# Test Content\n\nSome test content.", - } - response = await client.post("/knowledge/entities", json={"entities": [data]}) - assert response.status_code == 200 - permalink = response.json()["entities"][0]["permalink"] - - # Get without content - response = await client.get(f"/knowledge/entities/{permalink}") - assert response.status_code == 200 - entity = response.json() - assert entity["content"] is None - - # Get with content - response = await client.get(f"/knowledge/entities/{permalink}?content=true") - assert response.status_code == 200 - entity = response.json() - assert "# Test Content" in entity["content"] - assert "Some test content" in entity["content"] - +@pytest.mark.skip("Skip until we can request content") @pytest.mark.asyncio async def test_update_entity_content(client: AsyncClient): """Test updating content for different entity types.""" diff --git a/tests/mcp/conftest.py b/tests/mcp/conftest.py index 4abc78b7..2c0ee392 100644 --- a/tests/mcp/conftest.py +++ b/tests/mcp/conftest.py @@ -1,12 +1,20 @@ """Tests for the MCP server implementation using FastAPI TestClient.""" +from typing import AsyncGenerator +import pytest import pytest_asyncio from fastapi import FastAPI from httpx import AsyncClient, ASGITransport +from mcp.server import FastMCP from basic_memory.api.app import app as fastapi_app from basic_memory.deps import get_project_config, get_engine_factory from basic_memory.services.search_service import SearchService +from basic_memory.mcp.server import mcp as mcp_server + +@pytest.fixture +def mcp() -> FastMCP: + return mcp_server @pytest_asyncio.fixture @@ -19,7 +27,7 @@ def app(test_config, engine_factory) -> FastAPI: @pytest_asyncio.fixture -async def client(app: FastAPI): +async def client(app: FastAPI) -> AsyncGenerator[AsyncClient, None]: """Create test client that both MCP and tests will use.""" async with AsyncClient(transport=ASGITransport(app=app), base_url="http://test") as client: yield client diff --git a/tests/mcp/test_schema.py b/tests/mcp/test_schema.py deleted file mode 100644 index 981f07dd..00000000 --- a/tests/mcp/test_schema.py +++ /dev/null @@ -1,146 +0,0 @@ -"""Tests for MCP schema and tool discovery.""" - -import pytest -from pydantic import BaseModel -from typing import List, Optional - -from basic_memory.mcp.server import mcp -from basic_memory.mcp.tools.help import get_schema - - -class TestInput(BaseModel): - """Test input model.""" - name: str - value: int - - -class TestOutput(BaseModel): - """Test output model.""" - result: str - values: List[int] - - -@pytest.mark.asyncio -async def test_get_schema_all(): - """Test getting complete tool catalog.""" - # Create test tools - @mcp.tool( - name="test_tool", - description="A test tool with enhanced metadata", - category="test", - examples=[{ - "name": "Basic Usage", - "description": "Simple example", - "code": "await test_tool({\"name\": \"test\", \"value\": 42})" - }] - ) - async def test_tool(request: TestInput) -> TestOutput: - """Test tool.""" - return TestOutput( - result=f"Processed {request.name}", - values=[request.value] - ) - - @mcp.tool(name="basic_tool") - async def basic_tool(value: str) -> str: - """A basic tool without enhanced metadata""" - return f"Echo: {value}" - - # Test schema retrieval - catalog = await get_schema() - - assert "tools" in catalog - assert "test_tool" in catalog["tools"] - assert "basic_tool" in catalog["tools"] - - # Test category organization - assert "categories" in catalog - assert "test" in catalog["categories"] - assert "test_tool" in catalog["categories"]["test"]["tools"] - - -@pytest.mark.asyncio -async def test_get_schema_enhanced_tool(): - """Test getting schema for enhanced tool.""" - @mcp.tool( - name="test_tool", - description="A test tool with enhanced metadata", - category="test", - examples=[{ - "name": "Basic Usage", - "description": "Simple example", - "code": "await test_tool({\"name\": \"test\", \"value\": 42})" - }] - ) - async def test_tool(request: TestInput) -> TestOutput: - """Test tool.""" - return TestOutput( - result=f"Processed {request.name}", - values=[request.value] - ) - - schema = await get_schema("test_tool") - - assert "tools" in schema - assert "test_tool" in schema["tools"] - - tool_info = schema["tools"]["test_tool"] - assert tool_info["category"] == "test" - assert len(tool_info["examples"]) == 1 - assert tool_info["input_schema"] is not None # Updated from inputSchema - - # Check example format - example = tool_info["examples"][0] - assert example["name"] == "Basic Usage" - assert example["description"] == "Simple example" - assert "code" in example - - -@pytest.mark.asyncio -async def test_get_schema_basic_tool(): - """Test getting schema for basic tool.""" - @mcp.tool(name="basic_tool") - async def basic_tool(value: str) -> str: - """A basic tool without enhanced metadata""" - return f"Echo: {value}" - - schema = await get_schema("basic_tool") - - assert "tools" in schema - assert "basic_tool" in schema["tools"] - - tool_info = schema["tools"]["basic_tool"] - assert tool_info["name"] == "basic_tool" - assert tool_info["description"] == "A basic tool without enhanced metadata" - assert "input_schema" in tool_info # Updated from inputSchema - - -@pytest.mark.asyncio -async def test_get_schema_filter_examples(): - """Test filtering out examples from schema.""" - @mcp.tool( - name="test_tool", - description="A test tool with enhanced metadata", - category="test", - examples=[{ - "name": "Basic Usage", - "description": "Simple example", - "code": "await test_tool({\"name\": \"test\", \"value\": 42})" - }] - ) - async def test_tool(request: TestInput) -> TestOutput: - """Test tool.""" - return TestOutput( - result=f"Processed {request.name}", - values=[request.value] - ) - - schema = await get_schema("test_tool", include_examples=False) - assert len(schema["tools"]["test_tool"]["examples"]) == 0 # Updated to check length instead - - -@pytest.mark.asyncio -async def test_get_schema_unknown_tool(): - """Test getting schema for unknown tool.""" - with pytest.raises(ValueError, match="Unknown tool: unknown_tool"): - await get_schema("unknown_tool") \ No newline at end of file diff --git a/tests/mcp/test_tool_discovery.py b/tests/mcp/test_tool_discovery.py deleted file mode 100644 index 5d5c3ee6..00000000 --- a/tests/mcp/test_tool_discovery.py +++ /dev/null @@ -1,59 +0,0 @@ -"""Tests for knowledge discovery MCP tools.""" - -import pytest - -from basic_memory.mcp.tools.discovery import ( - get_observation_categories, -) -from basic_memory.mcp.tools.knowledge import create_entities, add_observations -from basic_memory.schemas import Entity, CreateEntityRequest, ObservationCategoryList -from basic_memory.schemas.request import ObservationCreate, AddObservationsRequest - - -@pytest.mark.asyncio -async def test_get_observation_categories(client): - """Test getting list of observation categories.""" - # First create an entity with categorized observations - request = CreateEntityRequest( - entities=[ - Entity( - title="Test Entity", - entity_type="test", - summary="Test entity", - observations=[], - ) - ] - ) - entity = (await create_entities(request)).entities[0] - - # Add observations with different categories - observations = [ - ObservationCreate(content="Technical detail", category="tech"), - ObservationCreate(content="Design decision", category="design"), - ObservationCreate(content="Feature spec", category="feature"), - ObservationCreate(content="General note", category="note"), - ] - - await add_observations( - AddObservationsRequest(permalink=entity.permalink, observations=observations) - ) - - # Get categories - result = await get_observation_categories() - observation_categories = ObservationCategoryList.model_validate(result) - - # Verify results - assert "tech" in observation_categories.categories - assert "design" in observation_categories.categories - assert "feature" in observation_categories.categories - assert "note" in observation_categories.categories - - -@pytest.mark.asyncio -async def test_get_observation_categories_empty(client): - """Test getting observation categories when no observations exist.""" - result = await get_observation_categories() - observation_categories = ObservationCategoryList.model_validate(result) - - # Should return empty list, not error - observation_categories.categories == [] diff --git a/tests/mcp/test_tool_discussion.py b/tests/mcp/test_tool_discussion.py index b89de8de..8099c2d6 100644 --- a/tests/mcp/test_tool_discussion.py +++ b/tests/mcp/test_tool_discussion.py @@ -1,13 +1,13 @@ """Tests for discussion context MCP tool.""" import pytest -from basic_memory.mcp.tools.discussion import get_discussion_context +from basic_memory.mcp.tools.discussion import build_context from basic_memory.schemas.memory import GraphContext @pytest.mark.asyncio async def test_get_basic_discussion_context(client, test_graph): """Test getting basic discussion context.""" - context = await get_discussion_context( + context = await build_context( url="memory://test/root" ) @@ -26,7 +26,7 @@ async def test_get_basic_discussion_context(client, test_graph): @pytest.mark.asyncio async def test_get_discussion_context_pattern(client, test_graph): """Test getting context with pattern matching.""" - context = await get_discussion_context( + context = await build_context( url="memory://test/*", depth=1 ) @@ -40,13 +40,13 @@ async def test_get_discussion_context_pattern(client, test_graph): async def test_get_discussion_context_timeframe(client, test_graph): """Test timeframe parameter filtering.""" # Get recent context - recent_context = await get_discussion_context( + recent_context = await build_context( url="memory://test/root", timeframe="1d" # Last 24 hours ) # Get older context - older_context = await get_discussion_context( + older_context = await build_context( url="memory://test/root", timeframe="30d" # Last 30 days ) @@ -56,7 +56,7 @@ async def test_get_discussion_context_timeframe(client, test_graph): @pytest.mark.asyncio async def test_get_discussion_context_not_found(client): """Test handling of non-existent URIs.""" - context = await get_discussion_context( + context = await build_context( url="memory://test/does-not-exist" ) diff --git a/tests/mcp/test_tool_open_nodes.py b/tests/mcp/test_tool_get_entities.py similarity index 78% rename from tests/mcp/test_tool_open_nodes.py rename to tests/mcp/test_tool_get_entities.py index 952d3d0b..5c733bdf 100644 --- a/tests/mcp/test_tool_open_nodes.py +++ b/tests/mcp/test_tool_get_entities.py @@ -1,16 +1,20 @@ """Tests for open_nodes MCP tool.""" import pytest +from httpx import AsyncClient +from mcp.server import FastMCP +from mcp.server.fastmcp import Context +from mcp.types import TextContent +from basic_memory.mcp.tools import get_entities from basic_memory.mcp.tools.knowledge import create_entities -from basic_memory.mcp.tools.search import open_nodes from basic_memory.schemas import EntityListResponse from basic_memory.schemas.base import Entity -from basic_memory.schemas.request import CreateEntityRequest, OpenNodesRequest +from basic_memory.schemas.request import CreateEntityRequest, GetEntitiesRequest @pytest.mark.asyncio -async def test_open_multiple_entities(client): +async def test_open_multiple_entities(mcp: FastMCP, client: AsyncClient): """Test opening multiple entities.""" # Create some test entities entity_request = CreateEntityRequest( @@ -19,12 +23,17 @@ async def test_open_multiple_entities(client): Entity(title="Entity2", entity_type="test", summary="Second test entity"), ] ) - create_result = await create_entities(entity_request) + result = await mcp.call_tool("create_entities",{ "request": entity_request}) + + assert len(result) == 1 + assert isinstance(result[0], TextContent) + text_result = TextContent.model_validate(result[0]).text + create_result = EntityListResponse.model_validate_json(text_result) permalinks = [e.permalink for e in create_result.entities] # Open the nodes - request = OpenNodesRequest(permalinks=permalinks) - result = await open_nodes(request) + request = GetEntitiesRequest(permalinks=permalinks) + result = await get_entities(request) assert isinstance(result, EntityListResponse) response = EntityListResponse.model_validate(result) @@ -54,8 +63,8 @@ async def test_open_nodes_with_details(client): permalink = create_result.entities[0].permalink # Open the node - request = OpenNodesRequest(permalinks=[permalink]) - result = await open_nodes(request) + request = GetEntitiesRequest(permalinks=[permalink]) + result = await get_entities(request) response = EntityListResponse.model_validate(result) # Verify all details are present @@ -90,8 +99,8 @@ async def test_open_nodes_with_relations(client): await create_relations(relation_request) # Open both nodes - request = OpenNodesRequest(permalinks=permalinks) - result = await open_nodes(request) + request = GetEntitiesRequest(permalinks=permalinks) + result = await get_entities(request) response = EntityListResponse.model_validate(result) # Verify relations are present @@ -108,8 +117,8 @@ async def test_open_nonexistent_nodes(client): real_permalink = create_result.entities[0].permalink # Try to open both real and non-existent - request = OpenNodesRequest(permalinks=[real_permalink, "nonexistent"]) - result = await open_nodes(request) + request = GetEntitiesRequest(permalinks=[real_permalink, "nonexistent"]) + result = await get_entities(request) response = EntityListResponse.model_validate(result) # Should only get the real entity back @@ -118,7 +127,7 @@ async def test_open_nonexistent_nodes(client): @pytest.mark.asyncio -async def test_open_single_node(client): +async def test_open_single_entity(client): """Test behavior with single permalink.""" # Create an entity entity_request = CreateEntityRequest( @@ -128,8 +137,8 @@ async def test_open_single_node(client): permalink = create_result.entities[0].permalink # Open just one node - request = OpenNodesRequest(permalinks=[permalink]) - result = await open_nodes(request) + request = GetEntitiesRequest(permalinks=[permalink]) + result = await get_entities(request) response = EntityListResponse.model_validate(result) # Should get just that entity diff --git a/tests/mcp/test_tool_get_entity.py b/tests/mcp/test_tool_get_entity.py index 1042925e..20a28b5b 100644 --- a/tests/mcp/test_tool_get_entity.py +++ b/tests/mcp/test_tool_get_entity.py @@ -41,36 +41,6 @@ async def test_get_basic_entity(client): assert obs.category == ObservationCategory.NOTE -@pytest.mark.asyncio -async def test_get_entity_with_content(client): - """Test retrieving a basic entity.""" - # First create an entity - entity_request = CreateEntityRequest( - entities=[ - Entity( - title="TestEntity", - entity_type="test", - content="A test entity", - observations=["First observation"], - ) - ] - ) - create_result = await create_entities(entity_request) - permalink = create_result.entities[0].permalink - - # Get entity with content - entity = await get_entity(permalink, content=True) - assert entity.content is not None - - # if we passed in content, it should just be the - assert "A test entity" in entity.content - - # Check observations - assert len(entity.observations) == 1 - obs = entity.observations[0] - assert obs.content == "First observation" - assert obs.category == ObservationCategory.NOTE - @pytest.mark.asyncio async def test_get_entity_with_relations(client): diff --git a/tests/schemas/test_schemas.py b/tests/schemas/test_schemas.py index 61f68704..4d1b859a 100644 --- a/tests/schemas/test_schemas.py +++ b/tests/schemas/test_schemas.py @@ -9,7 +9,7 @@ from basic_memory.schemas import ( Relation, CreateEntityRequest, SearchNodesRequest, - OpenNodesRequest, + GetEntitiesRequest, RelationResponse, ) from basic_memory.schemas.base import to_snake_case @@ -170,12 +170,12 @@ def test_search_nodes_input(): def test_open_nodes_input(): """Test OpenNodesInput validation.""" - open_input = OpenNodesRequest.model_validate({"permalinks": ["test/test", "test/test2"]}) + open_input = GetEntitiesRequest.model_validate({"permalinks": ["test/test", "test/test2"]}) assert len(open_input.permalinks) == 2 # Empty names list should fail with pytest.raises(ValidationError): - OpenNodesRequest.model_validate({"permalinks": []}) + GetEntitiesRequest.model_validate({"permalinks": []}) def test_path_sanitization(): diff --git a/tests/services/test_entity_service.py b/tests/services/test_entity_service.py index 246d77cf..9dfa8274 100644 --- a/tests/services/test_entity_service.py +++ b/tests/services/test_entity_service.py @@ -267,7 +267,7 @@ async def test_open_nodes_by_permalinks(entity_service: EntityService): # Open nodes by path IDs permalinks = [entity1_data.permalink, entity2_data.permalink] - found = await entity_service.open_nodes(permalinks) + found = await entity_service.get_entities_by_permalinks(permalinks) assert len(found) == 2 names = {e.title for e in found} @@ -276,7 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