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# What does this PR do? * Provide sqlite implementation of the APIs introduced in https://github.com/meta-llama/llama-stack/pull/2145. * Introduced a SqlStore API: llama_stack/providers/utils/sqlstore/api.py and the first Sqlite implementation * Pagination support will be added in a future PR. ## Test Plan Unit test on sql store: <img width="1005" alt="image" src="https://github.com/user-attachments/assets/9b8b7ec8-632b-4667-8127-5583426b2e29" /> Integration test: ``` INFERENCE_MODEL="llama3.2:3b-instruct-fp16" llama stack build --template ollama --image-type conda --run ``` ``` LLAMA_STACK_CONFIG=http://localhost:5001 INFERENCE_MODEL="llama3.2:3b-instruct-fp16" python -m pytest -v tests/integration/inference/test_openai_completion.py --text-model "llama3.2:3b-instruct-fp16" -k 'inference_store and openai' ```
90 lines
2 KiB
Python
90 lines
2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from collections.abc import Mapping
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from enum import Enum
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from typing import Any, Literal, Protocol
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from pydantic import BaseModel
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class ColumnType(Enum):
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INTEGER = "INTEGER"
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STRING = "STRING"
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TEXT = "TEXT"
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FLOAT = "FLOAT"
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BOOLEAN = "BOOLEAN"
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JSON = "JSON"
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DATETIME = "DATETIME"
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class ColumnDefinition(BaseModel):
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type: ColumnType
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primary_key: bool = False
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nullable: bool = True
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default: Any = None
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class SqlStore(Protocol):
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"""
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A protocol for a SQL store.
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"""
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async def create_table(self, table: str, schema: Mapping[str, ColumnType | ColumnDefinition]) -> None:
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"""
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Create a table.
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"""
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pass
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async def insert(self, table: str, data: Mapping[str, Any]) -> None:
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"""
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Insert a row into a table.
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"""
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pass
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async def fetch_all(
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self,
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table: str,
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where: Mapping[str, Any] | None = None,
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limit: int | None = None,
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order_by: list[tuple[str, Literal["asc", "desc"]]] | None = None,
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) -> list[dict[str, Any]]:
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"""
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Fetch all rows from a table.
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"""
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pass
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async def fetch_one(
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self,
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table: str,
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where: Mapping[str, Any] | None = None,
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order_by: list[tuple[str, Literal["asc", "desc"]]] | None = None,
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) -> dict[str, Any] | None:
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"""
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Fetch one row from a table.
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"""
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pass
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async def update(
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self,
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table: str,
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data: Mapping[str, Any],
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where: Mapping[str, Any],
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) -> None:
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"""
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Update a row in a table.
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"""
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pass
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async def delete(
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self,
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table: str,
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where: Mapping[str, Any],
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) -> None:
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"""
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Delete a row from a table.
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"""
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pass
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