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https://github.com/meta-llama/llama-stack.git
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fix: Pydantic v2 discriminated union default handling
Remove invalid default parameters from KVStoreConfig and SqlStoreConfig Annotated types which were causing UnsupportedFieldAttributeWarning and producing incorrect string values instead of proper config objects. Add proper default_factory to all KVStoreConfig and SqlStoreConfig fields across core datatypes and provider configs, ensuring they instantiate SqliteKVStoreConfig or SqliteSqlStoreConfig objects with correct defaults. This improves usability by allowing configs to be instantiated without explicitly providing storage configuration while maintaining type safety and discriminated union functionality. Signed-off-by: Charlie Doern <cdoern@redhat.com>
This commit is contained in:
parent
359df3a37c
commit
7605631df7
37 changed files with 56 additions and 52 deletions
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@ -28,7 +28,7 @@ from llama_stack.apis.vector_io import VectorIO
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from llama_stack.core.access_control.datatypes import AccessRule
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from llama_stack.providers.datatypes import Api, ProviderSpec
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from llama_stack.providers.utils.kvstore.config import KVStoreConfig, SqliteKVStoreConfig
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from llama_stack.providers.utils.sqlstore.sqlstore import SqlStoreConfig
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from llama_stack.providers.utils.sqlstore.sqlstore import SqliteSqlStoreConfig, SqlStoreConfig
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LLAMA_STACK_BUILD_CONFIG_VERSION = 2
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LLAMA_STACK_RUN_CONFIG_VERSION = 2
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@ -439,13 +439,13 @@ class ServerConfig(BaseModel):
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class InferenceStoreConfig(BaseModel):
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sql_store_config: SqlStoreConfig
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sql_store_config: SqlStoreConfig = Field(default_factory=SqliteSqlStoreConfig)
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max_write_queue_size: int = Field(default=10000, description="Max queued writes for inference store")
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num_writers: int = Field(default=4, description="Number of concurrent background writers")
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class ResponsesStoreConfig(BaseModel):
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sql_store_config: SqlStoreConfig
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sql_store_config: SqlStoreConfig = Field(default_factory=SqliteSqlStoreConfig)
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max_write_queue_size: int = Field(default=10000, description="Max queued writes for responses store")
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num_writers: int = Field(default=4, description="Number of concurrent background writers")
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@ -6,7 +6,7 @@
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from typing import Any
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from pydantic import BaseModel
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from pydantic import BaseModel, Field
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from llama_stack.providers.utils.kvstore import KVStoreConfig
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from llama_stack.providers.utils.kvstore.config import SqliteKVStoreConfig
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@ -14,8 +14,8 @@ from llama_stack.providers.utils.sqlstore.sqlstore import SqliteSqlStoreConfig,
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class MetaReferenceAgentsImplConfig(BaseModel):
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persistence_store: KVStoreConfig
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responses_store: SqlStoreConfig
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persistence_store: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig)
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responses_store: SqlStoreConfig = Field(default_factory=SqliteSqlStoreConfig)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str) -> dict[str, Any]:
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@ -13,6 +13,7 @@ class ReferenceBatchesImplConfig(BaseModel):
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"""Configuration for the Reference Batches implementation."""
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kvstore: KVStoreConfig = Field(
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default_factory=SqliteKVStoreConfig,
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description="Configuration for the key-value store backend.",
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)
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@ -5,7 +5,7 @@
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# the root directory of this source tree.
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from typing import Any
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from pydantic import BaseModel
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from pydantic import BaseModel, Field
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from llama_stack.providers.utils.kvstore.config import (
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KVStoreConfig,
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@ -14,7 +14,7 @@ from llama_stack.providers.utils.kvstore.config import (
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class LocalFSDatasetIOConfig(BaseModel):
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kvstore: KVStoreConfig
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kvstore: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
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@ -5,7 +5,7 @@
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# the root directory of this source tree.
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from typing import Any
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from pydantic import BaseModel
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from pydantic import BaseModel, Field
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from llama_stack.providers.utils.kvstore.config import (
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KVStoreConfig,
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@ -14,7 +14,7 @@ from llama_stack.providers.utils.kvstore.config import (
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class MetaReferenceEvalConfig(BaseModel):
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kvstore: KVStoreConfig
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kvstore: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
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@ -16,6 +16,7 @@ class LocalfsFilesImplConfig(BaseModel):
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description="Directory to store uploaded files",
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)
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metadata_store: SqlStoreConfig = Field(
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default_factory=SqliteSqlStoreConfig,
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description="SQL store configuration for file metadata",
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)
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ttl_secs: int = 365 * 24 * 60 * 60 # 1 year
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@ -15,7 +15,7 @@ from llama_stack.schema_utils import json_schema_type
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@json_schema_type
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class ChromaVectorIOConfig(BaseModel):
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db_path: str
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kvstore: KVStoreConfig = Field(description="Config for KV store backend")
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kvstore: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig, description="Config for KV store backend")
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@classmethod
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def sample_run_config(
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@ -6,7 +6,7 @@
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from typing import Any
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from pydantic import BaseModel
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from pydantic import BaseModel, Field
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from llama_stack.providers.utils.kvstore.config import (
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KVStoreConfig,
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@ -17,7 +17,7 @@ from llama_stack.schema_utils import json_schema_type
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@json_schema_type
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class FaissVectorIOConfig(BaseModel):
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kvstore: KVStoreConfig
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kvstore: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
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@ -18,7 +18,9 @@ from llama_stack.schema_utils import json_schema_type
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@json_schema_type
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class MilvusVectorIOConfig(BaseModel):
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db_path: str
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kvstore: KVStoreConfig = Field(description="Config for KV store backend (SQLite only for now)")
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kvstore: KVStoreConfig = Field(
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default_factory=SqliteKVStoreConfig, description="Config for KV store backend (SQLite only for now)"
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)
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consistency_level: str = Field(description="The consistency level of the Milvus server", default="Strong")
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@classmethod
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@ -7,7 +7,7 @@
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from typing import Any
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from pydantic import BaseModel
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from pydantic import BaseModel, Field
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from llama_stack.providers.utils.kvstore.config import (
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KVStoreConfig,
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@ -19,7 +19,7 @@ from llama_stack.schema_utils import json_schema_type
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@json_schema_type
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class QdrantVectorIOConfig(BaseModel):
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path: str
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kvstore: KVStoreConfig
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kvstore: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str) -> dict[str, Any]:
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@ -16,7 +16,9 @@ from llama_stack.providers.utils.kvstore.config import (
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class SQLiteVectorIOConfig(BaseModel):
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db_path: str = Field(description="Path to the SQLite database file")
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kvstore: KVStoreConfig = Field(description="Config for KV store backend (SQLite only for now)")
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kvstore: KVStoreConfig = Field(
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default_factory=SqliteKVStoreConfig, description="Config for KV store backend (SQLite only for now)"
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)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str) -> dict[str, Any]:
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@ -5,7 +5,7 @@
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# the root directory of this source tree.
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from typing import Any
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from pydantic import BaseModel
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from pydantic import BaseModel, Field
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from llama_stack.providers.utils.kvstore.config import (
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KVStoreConfig,
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@ -14,7 +14,7 @@ from llama_stack.providers.utils.kvstore.config import (
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class HuggingfaceDatasetIOConfig(BaseModel):
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kvstore: KVStoreConfig
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kvstore: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
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@ -24,7 +24,9 @@ class S3FilesImplConfig(BaseModel):
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auto_create_bucket: bool = Field(
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default=False, description="Automatically create the S3 bucket if it doesn't exist"
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)
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metadata_store: SqlStoreConfig = Field(description="SQL store configuration for file metadata")
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metadata_store: SqlStoreConfig = Field(
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default_factory=SqliteSqlStoreConfig, description="SQL store configuration for file metadata"
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)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str) -> dict[str, Any]:
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@ -15,7 +15,7 @@ from llama_stack.schema_utils import json_schema_type
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@json_schema_type
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class ChromaVectorIOConfig(BaseModel):
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url: str | None
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kvstore: KVStoreConfig = Field(description="Config for KV store backend")
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kvstore: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig, description="Config for KV store backend")
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@classmethod
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def sample_run_config(cls, __distro_dir__: str, url: str = "${env.CHROMADB_URL}", **kwargs: Any) -> dict[str, Any]:
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@ -17,7 +17,7 @@ class MilvusVectorIOConfig(BaseModel):
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uri: str = Field(description="The URI of the Milvus server")
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token: str | None = Field(description="The token of the Milvus server")
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consistency_level: str = Field(description="The consistency level of the Milvus server", default="Strong")
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kvstore: KVStoreConfig = Field(description="Config for KV store backend")
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kvstore: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig, description="Config for KV store backend")
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# This configuration allows additional fields to be passed through to the underlying Milvus client.
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# See the [Milvus](https://milvus.io/docs/install-overview.md) documentation for more details about Milvus in general.
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@ -6,7 +6,7 @@
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from typing import Any
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from pydantic import BaseModel
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from pydantic import BaseModel, Field
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from llama_stack.providers.utils.kvstore.config import (
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KVStoreConfig,
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@ -27,7 +27,7 @@ class QdrantVectorIOConfig(BaseModel):
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prefix: str | None = None
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timeout: int | None = None
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host: str | None = None
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kvstore: KVStoreConfig
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kvstore: KVStoreConfig = Field(default_factory=SqliteKVStoreConfig)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
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@ -10,8 +10,6 @@ from typing import Annotated, Literal
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from pydantic import BaseModel, Field, field_validator
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from llama_stack.core.utils.config_dirs import RUNTIME_BASE_DIR
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class KVStoreType(Enum):
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redis = "redis"
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@ -52,7 +50,7 @@ class RedisKVStoreConfig(CommonConfig):
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class SqliteKVStoreConfig(CommonConfig):
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type: Literal["sqlite"] = KVStoreType.sqlite.value
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db_path: str = Field(
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default=(RUNTIME_BASE_DIR / "kvstore.db").as_posix(),
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default="~/.llama/runtime/kvstore.db",
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description="File path for the sqlite database",
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)
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@ -140,7 +138,7 @@ class MongoDBKVStoreConfig(CommonConfig):
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KVStoreConfig = Annotated[
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RedisKVStoreConfig | SqliteKVStoreConfig | PostgresKVStoreConfig | MongoDBKVStoreConfig,
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Field(discriminator="type", default=KVStoreType.sqlite.value),
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Field(discriminator="type"),
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]
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@ -11,8 +11,6 @@ from typing import Annotated, Literal
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from pydantic import BaseModel, Field
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from llama_stack.core.utils.config_dirs import RUNTIME_BASE_DIR
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from .api import SqlStore
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sql_store_pip_packages = ["sqlalchemy[asyncio]", "aiosqlite", "asyncpg"]
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@ -37,7 +35,7 @@ class SqlAlchemySqlStoreConfig(BaseModel):
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class SqliteSqlStoreConfig(SqlAlchemySqlStoreConfig):
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type: Literal[SqlStoreType.sqlite] = SqlStoreType.sqlite
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db_path: str = Field(
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default=(RUNTIME_BASE_DIR / "sqlstore.db").as_posix(),
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default="~/.llama/runtime/sqlstore.db",
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description="Database path, e.g. ~/.llama/distributions/ollama/sqlstore.db",
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)
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@ -87,7 +85,7 @@ class PostgresSqlStoreConfig(SqlAlchemySqlStoreConfig):
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SqlStoreConfig = Annotated[
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SqliteSqlStoreConfig | PostgresSqlStoreConfig,
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Field(discriminator="type", default=SqlStoreType.sqlite.value),
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Field(discriminator="type"),
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]
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