diff --git a/pyproject.toml b/pyproject.toml index 27f0a73..8638f61 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,7 +9,7 @@ dependencies = [ "fastembed>=0.6.0", "qdrant-client>=1.12.0", "pydantic>=2.10.6", - "fastmcp>=2.5.1", + "fastmcp>=2.5.1,<2.7.0", ] [build-system] @@ -18,6 +18,7 @@ build-backend = "hatchling.build" [tool.uv] dev-dependencies = [ + "ipdb>=0.13.13", "isort>=6.0.1", "mypy>=1.9.0", "pre-commit>=4.1.0", diff --git a/src/mcp_server_qdrant/common/filters.py b/src/mcp_server_qdrant/common/filters.py new file mode 100644 index 0000000..ccb7fb7 --- /dev/null +++ b/src/mcp_server_qdrant/common/filters.py @@ -0,0 +1,194 @@ +from typing import Any + +from qdrant_client import models + +from mcp_server_qdrant.qdrant import ArbitraryFilter +from mcp_server_qdrant.settings import METADATA_PATH, FilterableField + + +def make_filter( + filterable_fields: dict[str, FilterableField], values: dict[str, Any] +) -> ArbitraryFilter: + must_conditions = [] + must_not_conditions = [] + + for raw_field_name, field_value in values.items(): + if raw_field_name not in filterable_fields: + raise ValueError(f"Field {raw_field_name} is not a filterable field") + + field = filterable_fields[raw_field_name] + + if field_value is None: + if field.required: + raise ValueError(f"Field {raw_field_name} is required") + else: + continue + + field_name = f"{METADATA_PATH}.{raw_field_name}" + + if field.field_type == "keyword": + if field.condition == "==": + must_conditions.append( + models.FieldCondition( + key=field_name, match=models.MatchValue(value=field_value) + ) + ) + elif field.condition == "!=": + must_not_conditions.append( + models.FieldCondition( + key=field_name, match=models.MatchValue(value=field_value) + ) + ) + elif field.condition == "any": + must_conditions.append( + models.FieldCondition( + key=field_name, match=models.MatchAny(any=field_value) + ) + ) + elif field.condition == "except": + must_conditions.append( + models.FieldCondition( + key=field_name, + match=models.MatchExcept(**{"except": field_value}), + ) + ) + elif field.condition is not None: + raise ValueError( + f"Invalid condition {field.condition} for keyword field {field_name}" + ) + + elif field.field_type == "integer": + if field.condition == "==": + must_conditions.append( + models.FieldCondition( + key=field_name, match=models.MatchValue(value=field_value) + ) + ) + elif field.condition == "!=": + must_not_conditions.append( + models.FieldCondition( + key=field_name, match=models.MatchValue(value=field_value) + ) + ) + elif field.condition == ">": + must_conditions.append( + models.FieldCondition( + key=field_name, range=models.Range(gt=field_value) + ) + ) + elif field.condition == ">=": + must_conditions.append( + models.FieldCondition( + key=field_name, range=models.Range(gte=field_value) + ) + ) + elif field.condition == "<": + must_conditions.append( + models.FieldCondition( + key=field_name, range=models.Range(lt=field_value) + ) + ) + elif field.condition == "<=": + must_conditions.append( + models.FieldCondition( + key=field_name, range=models.Range(lte=field_value) + ) + ) + elif field.condition == "any": + must_conditions.append( + models.FieldCondition( + key=field_name, match=models.MatchAny(any=field_value) + ) + ) + elif field.condition == "except": + must_conditions.append( + models.FieldCondition( + key=field_name, + match=models.MatchExcept(**{"except": field_value}), + ) + ) + elif field.condition is not None: + raise ValueError( + f"Invalid condition {field.condition} for integer field {field_name}" + ) + + elif field.field_type == "float": + # For float values, we only support range comparisons + if field.condition == ">": + must_conditions.append( + models.FieldCondition( + key=field_name, range=models.Range(gt=field_value) + ) + ) + elif field.condition == ">=": + must_conditions.append( + models.FieldCondition( + key=field_name, range=models.Range(gte=field_value) + ) + ) + elif field.condition == "<": + must_conditions.append( + models.FieldCondition( + key=field_name, range=models.Range(lt=field_value) + ) + ) + elif field.condition == "<=": + must_conditions.append( + models.FieldCondition( + key=field_name, range=models.Range(lte=field_value) + ) + ) + elif field.condition is not None: + raise ValueError( + f"Invalid condition {field.condition} for float field {field_name}. " + "Only range comparisons (>, >=, <, <=) are supported for float values." + ) + + elif field.field_type == "boolean": + if field.condition == "==": + must_conditions.append( + models.FieldCondition( + key=field_name, match=models.MatchValue(value=field_value) + ) + ) + elif field.condition == "!=": + must_not_conditions.append( + models.FieldCondition( + key=field_name, match=models.MatchValue(value=field_value) + ) + ) + elif field.condition is not None: + raise ValueError( + f"Invalid condition {field.condition} for boolean field {field_name}" + ) + + else: + raise ValueError( + f"Unsupported field type {field.field_type} for field {field_name}" + ) + + return models.Filter( + must=must_conditions, must_not=must_not_conditions + ).model_dump() + + +def make_indexes( + filterable_fields: dict[str, FilterableField], +) -> dict[str, models.PayloadSchemaType]: + indexes = {} + + for field_name, field in filterable_fields.items(): + if field.field_type == "keyword": + indexes[f"{METADATA_PATH}.{field_name}"] = models.PayloadSchemaType.KEYWORD + elif field.field_type == "integer": + indexes[f"{METADATA_PATH}.{field_name}"] = models.PayloadSchemaType.INTEGER + elif field.field_type == "float": + indexes[f"{METADATA_PATH}.{field_name}"] = models.PayloadSchemaType.FLOAT + elif field.field_type == "boolean": + indexes[f"{METADATA_PATH}.{field_name}"] = models.PayloadSchemaType.BOOL + else: + raise ValueError( + f"Unsupported field type {field.field_type} for field {field_name}" + ) + + return indexes diff --git a/src/mcp_server_qdrant/common/wrap_filters.py b/src/mcp_server_qdrant/common/wrap_filters.py new file mode 100644 index 0000000..11ae9e3 --- /dev/null +++ b/src/mcp_server_qdrant/common/wrap_filters.py @@ -0,0 +1,150 @@ +import inspect +from functools import wraps +from typing import Annotated, Callable, Optional + +from pydantic import Field + +from mcp_server_qdrant.common.filters import make_filter +from mcp_server_qdrant.settings import FilterableField + + +def wrap_filters( + original_func: Callable, filterable_fields: dict[str, FilterableField] +) -> Callable: + """ + Wraps the original_func function: replaces `filter` parameter with multiple parameters defined by `filterable_fields`. + """ + + sig = inspect.signature(original_func) + + @wraps(original_func) + def wrapper(*args, **kwargs): + # Start with fixed values + filter_values = {} + + for field_name in filterable_fields: + if field_name in kwargs: + filter_values[field_name] = kwargs.pop(field_name) + + query_filter = make_filter(filterable_fields, filter_values) + + return original_func(**kwargs, query_filter=query_filter) + + # Replace `query_filter` signature with parameters from `filterable_fields` + + param_names = [] + + for param_name in sig.parameters: + if param_name == "query_filter": + continue + param_names.append(param_name) + + new_params = [sig.parameters[param_name] for param_name in param_names] + required_new_params = [] + optional_new_params = [] + + # Create a new signature parameters from `filterable_fields` + for field in filterable_fields.values(): + field_name = field.name + field_type: type + if field.field_type == "keyword": + field_type = str + elif field.field_type == "integer": + field_type = int + elif field.field_type == "float": + field_type = float + elif field.field_type == "boolean": + field_type = bool + else: + raise ValueError(f"Unsupported field type: {field.field_type}") + + if field.condition in {"any", "except"}: + if field_type not in {str, int}: + raise ValueError( + f'Only "keyword" and "integer" types are supported for "{field.condition}" condition' + ) + field_type = list[field_type] # type: ignore + + if field.required: + annotation = Annotated[field_type, Field(description=field.description)] # type: ignore + parameter = inspect.Parameter( + name=field_name, + kind=inspect.Parameter.POSITIONAL_OR_KEYWORD, + annotation=annotation, + ) + required_new_params.append(parameter) + else: + annotation = Annotated[ # type: ignore + Optional[field_type], Field(description=field.description) + ] + parameter = inspect.Parameter( + name=field_name, + kind=inspect.Parameter.POSITIONAL_OR_KEYWORD, + default=None, + annotation=annotation, + ) + optional_new_params.append(parameter) + + new_params.extend(required_new_params) + new_params.extend(optional_new_params) + + # Set the new __signature__ for introspection + new_signature = sig.replace(parameters=new_params) + wrapper.__signature__ = new_signature # type: ignore + + # Set the new __annotations__ for introspection + new_annotations = {} + for param in new_signature.parameters.values(): + if param.annotation != inspect.Parameter.empty: + new_annotations[param.name] = param.annotation + + # Add return type annotation if it exists + if new_signature.return_annotation != inspect.Parameter.empty: + new_annotations["return"] = new_signature.return_annotation + + wrapper.__annotations__ = new_annotations + + return wrapper + + +if __name__ == "__main__": + from pydantic._internal._typing_extra import get_function_type_hints + from qdrant_client import models + + def find( + query: Annotated[str, Field(description="What to search for")], + collection_name: Annotated[ + str, Field(description="The collection to search in") + ], + query_filter: Optional[models.Filter] = None, + ) -> list[str]: + print("query", query) + print("collection_name", collection_name) + print("query_filter", query_filter) + return ["mypy rules"] + + wrapped_find = wrap_filters( + find, + { + "color": FilterableField( + name="color", + description="The color of the object", + field_type="keyword", + condition="==", + ), + "size": FilterableField( + name="size", + description="The size of the object", + field_type="keyword", + condition="==", + required=True, + ), + }, + ) + + wrapped_find(query="dress", collection_name="test", color="red") + + print("get_function_type_hints(find)", get_function_type_hints(find)) + print( + "get_function_type_hints(wrapped_find)", get_function_type_hints(wrapped_find) + ) diff --git a/src/mcp_server_qdrant/mcp_server.py b/src/mcp_server_qdrant/mcp_server.py index 0c685b1..5985f7a 100644 --- a/src/mcp_server_qdrant/mcp_server.py +++ b/src/mcp_server_qdrant/mcp_server.py @@ -1,12 +1,16 @@ import json import logging -from typing import Any, List, Optional +from typing import Annotated, Any, List, Optional from fastmcp import Context, FastMCP +from pydantic import Field +from qdrant_client import models +from mcp_server_qdrant.common.filters import make_indexes from mcp_server_qdrant.common.func_tools import make_partial_function +from mcp_server_qdrant.common.wrap_filters import wrap_filters from mcp_server_qdrant.embeddings.factory import create_embedding_provider -from mcp_server_qdrant.qdrant import Entry, Metadata, QdrantConnector +from mcp_server_qdrant.qdrant import ArbitraryFilter, Entry, Metadata, QdrantConnector from mcp_server_qdrant.settings import ( EmbeddingProviderSettings, QdrantSettings, @@ -43,6 +47,7 @@ class QdrantMCPServer(FastMCP): qdrant_settings.collection_name, self.embedding_provider, qdrant_settings.local_path, + make_indexes(qdrant_settings.filterable_fields_dict()), ) super().__init__(name=name, instructions=instructions, **settings) @@ -63,12 +68,19 @@ class QdrantMCPServer(FastMCP): async def store( ctx: Context, - information: str, - collection_name: str, + information: Annotated[str, Field(description="Text to store")], + collection_name: Annotated[ + str, Field(description="The collection to store the information in") + ], # The `metadata` parameter is defined as non-optional, but it can be None. # If we set it to be optional, some of the MCP clients, like Cursor, cannot # handle the optional parameter correctly. - metadata: Optional[Metadata] = None, # type: ignore + metadata: Annotated[ + Optional[Metadata], + Field( + description="Extra metadata stored along with memorised information. Any json is accepted." + ), + ] = None, ) -> str: """ Store some information in Qdrant. @@ -90,8 +102,11 @@ class QdrantMCPServer(FastMCP): async def find( ctx: Context, - query: str, - collection_name: str, + query: Annotated[str, Field(description="What to search for")], + collection_name: Annotated[ + str, Field(description="The collection to search in") + ], + query_filter: Optional[ArbitraryFilter] = None, ) -> List[str]: """ Find memories in Qdrant. @@ -101,6 +116,12 @@ class QdrantMCPServer(FastMCP): the default collection is used. :return: A list of entries found. """ + + # Log query_filter + await ctx.debug(f"Query filter: {query_filter}") + + query_filter = models.Filter(**query_filter) if query_filter else None + await ctx.debug(f"Finding results for query {query}") if collection_name: await ctx.debug( @@ -111,6 +132,7 @@ class QdrantMCPServer(FastMCP): query, collection_name=collection_name, limit=self.qdrant_settings.search_limit, + query_filter=query_filter, ) if not entries: return [f"No information found for the query '{query}'"] @@ -124,6 +146,15 @@ class QdrantMCPServer(FastMCP): find_foo = find store_foo = store + filterable_conditions = ( + self.qdrant_settings.filterable_fields_dict_with_conditions() + ) + + if len(filterable_conditions) > 0: + find_foo = wrap_filters(find_foo, filterable_conditions) + elif not self.qdrant_settings.allow_arbitrary_filter: + find_foo = make_partial_function(find_foo, {"query_filter": None}) + if self.qdrant_settings.collection_name: find_foo = make_partial_function( find_foo, {"collection_name": self.qdrant_settings.collection_name} diff --git a/src/mcp_server_qdrant/qdrant.py b/src/mcp_server_qdrant/qdrant.py index b323c3a..a7656f8 100644 --- a/src/mcp_server_qdrant/qdrant.py +++ b/src/mcp_server_qdrant/qdrant.py @@ -6,11 +6,14 @@ from pydantic import BaseModel from qdrant_client import AsyncQdrantClient, models from mcp_server_qdrant.embeddings.base import EmbeddingProvider +from mcp_server_qdrant.settings import METADATA_PATH logger = logging.getLogger(__name__) Metadata = Dict[str, Any] +ArbitraryFilter = Dict[str, Any] + class Entry(BaseModel): """ @@ -39,6 +42,7 @@ class QdrantConnector: collection_name: Optional[str], embedding_provider: EmbeddingProvider, qdrant_local_path: Optional[str] = None, + field_indexes: Optional[dict[str, models.PayloadSchemaType]] = None, ): self._qdrant_url = qdrant_url.rstrip("/") if qdrant_url else None self._qdrant_api_key = qdrant_api_key @@ -47,6 +51,7 @@ class QdrantConnector: self._client = AsyncQdrantClient( location=qdrant_url, api_key=qdrant_api_key, path=qdrant_local_path ) + self._field_indexes = field_indexes async def get_collection_names(self) -> list[str]: """ @@ -74,7 +79,7 @@ class QdrantConnector: # Add to Qdrant vector_name = self._embedding_provider.get_vector_name() - payload = {"document": entry.content, "metadata": entry.metadata} + payload = {"document": entry.content, METADATA_PATH: entry.metadata} await self._client.upsert( collection_name=collection_name, points=[ @@ -87,7 +92,12 @@ class QdrantConnector: ) async def search( - self, query: str, *, collection_name: Optional[str] = None, limit: int = 10 + self, + query: str, + *, + collection_name: Optional[str] = None, + limit: int = 10, + query_filter: Optional[models.Filter] = None, ) -> list[Entry]: """ Find points in the Qdrant collection. If there are no entries found, an empty list is returned. @@ -115,6 +125,7 @@ class QdrantConnector: query=query_vector, using=vector_name, limit=limit, + query_filter=query_filter, ) return [ @@ -146,3 +157,13 @@ class QdrantConnector: ) }, ) + + # Create payload indexes if configured + + if self._field_indexes: + for field_name, field_type in self._field_indexes.items(): + await self._client.create_payload_index( + collection_name=collection_name, + field_name=field_name, + field_schema=field_type, + ) diff --git a/src/mcp_server_qdrant/settings.py b/src/mcp_server_qdrant/settings.py index 512e933..f41e400 100644 --- a/src/mcp_server_qdrant/settings.py +++ b/src/mcp_server_qdrant/settings.py @@ -1,6 +1,6 @@ -from typing import Optional +from typing import Literal, Optional -from pydantic import Field +from pydantic import BaseModel, Field from pydantic_settings import BaseSettings from mcp_server_qdrant.embeddings.types import EmbeddingProviderType @@ -15,6 +15,8 @@ DEFAULT_TOOL_FIND_DESCRIPTION = ( " - Get some personal information about the user" ) +METADATA_PATH = "metadata" + class ToolSettings(BaseSettings): """ @@ -46,6 +48,29 @@ class EmbeddingProviderSettings(BaseSettings): ) +class FilterableField(BaseModel): + name: str = Field(description="The name of the field payload field to filter on") + description: str = Field( + description="A description for the field used in the tool description" + ) + field_type: Literal["keyword", "integer", "float", "boolean"] = Field( + description="The type of the field" + ) + condition: Optional[Literal["==", "!=", ">", ">=", "<", "<=", "any", "except"]] = ( + Field( + default=None, + description=( + "The condition to use for the filter. If not provided, the field will be indexed, but no " + "filter argument will be exposed to MCP tool." + ), + ) + ) + required: bool = Field( + default=False, + description="Whether the field is required for the filter.", + ) + + class QdrantSettings(BaseSettings): """ Configuration for the Qdrant connector. @@ -61,3 +86,23 @@ class QdrantSettings(BaseSettings): ) search_limit: int = Field(default=10, validation_alias="QDRANT_SEARCH_LIMIT") read_only: bool = Field(default=False, validation_alias="QDRANT_READ_ONLY") + + filterable_fields: Optional[list[FilterableField]] = Field(default=None) + + allow_arbitrary_filter: bool = Field( + default=False, validation_alias="QDRANT_ALLOW_ARBITRARY_FILTER" + ) + + def filterable_fields_dict(self) -> dict[str, FilterableField]: + if self.filterable_fields is None: + return {} + return {field.name: field for field in self.filterable_fields} + + def filterable_fields_dict_with_conditions(self) -> dict[str, FilterableField]: + if self.filterable_fields is None: + return {} + return { + field.name: field + for field in self.filterable_fields + if field.condition is not None + } diff --git a/uv.lock b/uv.lock index 5225cc5..6fbd751 100644 --- a/uv.lock +++ b/uv.lock @@ -2,9 +2,10 @@ version = 1 revision = 1 requires-python = ">=3.10" resolution-markers = [ - "python_full_version < '3.12'", - "python_full_version == '3.12.*'", "python_full_version >= '3.13'", + "python_full_version == '3.12.*'", + "python_full_version == '3.11.*'", + "python_full_version < '3.11'", ] [[package]] @@ -18,7 +19,7 @@ wheels = [ [[package]] name = "anyio" -version = "4.8.0" +version = "4.9.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, @@ -26,18 +27,96 @@ dependencies = [ { name = "sniffio" }, { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] -sdist = { url = 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