diff --git a/.github/actions/spelling/expect.txt b/.github/actions/spelling/expect.txt index ade6eb7b..4a1919af 100644 --- a/.github/actions/spelling/expect.txt +++ b/.github/actions/spelling/expect.txt @@ -1,5 +1,15 @@ AUser excinfo +fetchrow +fetchval GVsb +initdb +isready notif otherurl +POSTGRES +postgres +postgresql +drivername +aiomysql +DSNs diff --git a/.github/workflows/spelling.yaml b/.github/workflows/spelling.yaml index 2c47dc1c..50c806ed 100644 --- a/.github/workflows/spelling.yaml +++ b/.github/workflows/spelling.yaml @@ -80,6 +80,7 @@ jobs: cspell:sql/src/tsql.txt cspell:terraform/dict/terraform.txt cspell:typescript/dict/typescript.txt + check_extra_dictionaries: "" only_check_changed_files: true longest_word: "10" diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index 28c6d776..7bb73d1d 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -15,6 +15,15 @@ jobs: runs-on: ubuntu-latest if: github.repository == 'google-a2a/a2a-python' + services: + postgres: + image: postgres:15-alpine + env: + POSTGRES_USER: postgres + POSTGRES_PASSWORD: postgres + POSTGRES_DB: a2a_test + ports: + - 5432:5432 strategy: matrix: @@ -28,6 +37,11 @@ jobs: uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} + - name: Set postgres for tests + run: | + sudo apt-get update && sudo apt-get install -y postgresql-client + PGPASSWORD=postgres psql -h localhost -p 5432 -U postgres -d a2a_test -f ${{ github.workspace }}/docker/postgres/init.sql + export POSTGRES_TEST_DSN="postgresql://postgres:postgres@localhost:5432/a2a_test" - name: Install uv run: | @@ -38,7 +52,7 @@ jobs: echo "$HOME/.cargo/bin" >> $GITHUB_PATH - name: Install dependencies - run: uv sync --dev + run: uv sync --dev --extra sql - name: Run tests run: uv run pytest diff --git a/README.md b/README.md index 8b73dd37..2b4670d0 100644 --- a/README.md +++ b/README.md @@ -32,6 +32,21 @@ When you're working within a uv project or a virtual environment managed by uv, uv add a2a-sdk ``` +To install with database support: +```bash +# PostgreSQL support +uv add "a2a-sdk[postgresql]" + +# MySQL support +uv add "a2a-sdk[mysql]" + +# SQLite support +uv add "a2a-sdk[sqlite]" + +# All database drivers +uv add "a2a-sdk[sql]" +``` + ### Using `pip` If you prefer to use pip, the standard Python package installer, you can install `a2a-sdk` as follows @@ -40,6 +55,21 @@ If you prefer to use pip, the standard Python package installer, you can install pip install a2a-sdk ``` +To install with database support: +```bash +# PostgreSQL support +pip install "a2a-sdk[postgresql]" + +# MySQL support +pip install "a2a-sdk[mysql]" + +# SQLite support +pip install "a2a-sdk[sqlite]" + +# All database drivers +pip install "a2a-sdk[sql]" +``` + ## Examples ### [Helloworld Example](https://github.com/google-a2a/a2a-samples/tree/main/samples/python/agents/helloworld) diff --git a/docker/postgres/docker-compose.yml b/docker/postgres/docker-compose.yml new file mode 100644 index 00000000..1041027e --- /dev/null +++ b/docker/postgres/docker-compose.yml @@ -0,0 +1,28 @@ +version: "3.8" + +services: + postgres: + image: postgres:15-alpine + ports: + - "5432:5432" + environment: + - POSTGRES_USER=postgres + - POSTGRES_PASSWORD=postgres + - POSTGRES_DB=a2a_test + volumes: + - postgres_data:/var/lib/postgresql/data + - ./docker/postgres/init.sql:/docker-entrypoint-initdb.d/init.sql + networks: + - a2a-network + healthcheck: + test: ["CMD-SHELL", "pg_isready -U postgres"] + interval: 5s + timeout: 5s + retries: 5 + +volumes: + postgres_data: + +networks: + a2a-network: + driver: bridge diff --git a/docker/postgres/init.sql b/docker/postgres/init.sql new file mode 100644 index 00000000..86b1dd02 --- /dev/null +++ b/docker/postgres/init.sql @@ -0,0 +1,8 @@ +-- Create a dedicated user for the application +CREATE USER a2a WITH PASSWORD 'a2a_password'; + +-- Create the tasks database +CREATE DATABASE a2a_tasks; + +GRANT ALL PRIVILEGES ON DATABASE a2a_test TO a2a; + diff --git a/pyproject.toml b/pyproject.toml index 812429a0..e925ee42 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,6 +30,26 @@ classifiers = [ "License :: OSI Approved :: Apache Software License", ] +[project.optional-dependencies] +postgresql = [ + "sqlalchemy>=2.0.0", + "asyncpg>=0.30.0", +] +mysql = [ + "sqlalchemy>=2.0.0", + "aiomysql>=0.2.0", +] +sqlite = [ + "sqlalchemy>=2.0.0", + "aiosqlite>=0.19.0", +] +sql = [ + "sqlalchemy>=2.0.0", + "asyncpg>=0.30.0", + "aiomysql>=0.2.0", + "aiosqlite>=0.19.0", +] + [project.urls] homepage = "https://google.github.io/A2A/" repository = "https://github.com/google-a2a/a2a-python" @@ -64,8 +84,11 @@ style = "pep440" [dependency-groups] dev = [ + "asyncpg-stubs>=0.30.1", "datamodel-code-generator>=0.30.0", + "greenlet>=3.2.2", "mypy>=1.15.0", + "nox>=2025.5.1", "pytest>=8.3.5", "pytest-asyncio>=0.26.0", "pytest-cov>=6.1.1", diff --git a/src/a2a/server/models.py b/src/a2a/server/models.py new file mode 100644 index 00000000..08ff86e6 --- /dev/null +++ b/src/a2a/server/models.py @@ -0,0 +1,194 @@ +from typing import TYPE_CHECKING, Any, Generic, TypeVar + + +if TYPE_CHECKING: + from typing_extensions import override +else: + + def override(func): # noqa: D103 + return func + + +from pydantic import BaseModel + +from a2a.types import Artifact, Message, TaskStatus + + +try: + from sqlalchemy import JSON, Dialect, String + from sqlalchemy.orm import ( + DeclarativeBase, + Mapped, + declared_attr, + mapped_column, + ) + from sqlalchemy.types import TypeDecorator +except ImportError as e: + raise ImportError( + 'Database models require SQLAlchemy. ' + 'Install with one of: ' + "'pip install a2a-sdk[postgresql]', " + "'pip install a2a-sdk[mysql]', " + "'pip install a2a-sdk[sqlite]', " + "or 'pip install a2a-sdk[sql]'" + ) from e + + +T = TypeVar('T', bound=BaseModel) + + +class PydanticType(TypeDecorator[T], Generic[T]): + """SQLAlchemy type that handles Pydantic model serialization.""" + + impl = JSON + cache_ok = True + + def __init__(self, pydantic_type: type[T], **kwargs: dict[str, Any]): + self.pydantic_type = pydantic_type + super().__init__(**kwargs) + + @override + def process_bind_param( + self, value: T | None, dialect: Dialect + ) -> dict[str, Any] | None: + if value is None: + return None + return ( + value.model_dump(mode='json') + if isinstance(value, BaseModel) + else value + ) + + @override + def process_result_value( + self, value: dict[str, Any] | None, dialect: Dialect + ) -> T | None: + if value is None: + return None + return self.pydantic_type.model_validate(value) + + +class PydanticListType(TypeDecorator[list[T]], Generic[T]): + """SQLAlchemy type that handles lists of Pydantic models.""" + + impl = JSON + cache_ok = True + + def __init__(self, pydantic_type: type[T], **kwargs: dict[str, Any]): + self.pydantic_type = pydantic_type + super().__init__(**kwargs) + + @override + def process_bind_param( + self, value: list[T] | None, dialect: Dialect + ) -> list[dict[str, Any]] | None: + if value is None: + return None + return [ + item.model_dump(mode='json') + if isinstance(item, BaseModel) + else item + for item in value + ] + + @override + def process_result_value( + self, value: list[dict[str, Any]] | None, dialect: Dialect + ) -> list[T] | None: + if value is None: + return None + return [self.pydantic_type.model_validate(item) for item in value] + + +# Base class for all database models +class Base(DeclarativeBase): + """Base class for declarative models in A2A SDK.""" + + +# TaskMixin that can be used with any table name +class TaskMixin: + """Mixin providing standard task columns with proper type handling.""" + + id: Mapped[str] = mapped_column(String, primary_key=True, index=True) + contextId: Mapped[str] = mapped_column(String, nullable=False) # noqa: N815 + kind: Mapped[str] = mapped_column(String, nullable=False, default='task') + + # Properly typed Pydantic fields with automatic serialization + status: Mapped[TaskStatus] = mapped_column(PydanticType(TaskStatus)) + artifacts: Mapped[list[Artifact] | None] = mapped_column( + PydanticListType(Artifact), nullable=True + ) + history: Mapped[list[Message] | None] = mapped_column( + PydanticListType(Message), nullable=True + ) + + # Using declared_attr to avoid conflict with Pydantic's metadata + @declared_attr + @classmethod + def task_metadata(cls) -> Mapped[dict[str, Any] | None]: + return mapped_column(JSON, nullable=True, name='metadata') + + @override + def __repr__(self) -> str: + """Return a string representation of the task.""" + repr_template = ( + '<{CLS}(id="{ID}", contextId="{CTX_ID}", status="{STATUS}")>' + ) + return repr_template.format( + CLS=self.__class__.__name__, + ID=self.id, + CTX_ID=self.contextId, + STATUS=self.status, + ) + + +def create_task_model( + table_name: str = 'tasks', base: type[DeclarativeBase] = Base +) -> type: + """Create a TaskModel class with a configurable table name. + + Args: + table_name: Name of the database table. Defaults to 'tasks'. + base: Base declarative class to use. Defaults to the SDK's Base class. + + Returns: + TaskModel class with the specified table name. + + Example: + # Create a task model with default table name + TaskModel = create_task_model() + + # Create a task model with custom table name + CustomTaskModel = create_task_model('my_tasks') + + # Use with a custom base + from myapp.database import Base as MyBase + TaskModel = create_task_model('tasks', MyBase) + """ + + class TaskModel(TaskMixin, base): + __tablename__ = table_name + + @override + def __repr__(self) -> str: + """Return a string representation of the task.""" + repr_template = '' + return repr_template.format( + TABLE=table_name, + ID=self.id, + CTX_ID=self.contextId, + STATUS=self.status, + ) + + # Set a dynamic name for better debugging + TaskModel.__name__ = f'TaskModel_{table_name}' + TaskModel.__qualname__ = f'TaskModel_{table_name}' + + return TaskModel + + +# Default TaskModel for backward compatibility +class TaskModel(TaskMixin, Base): + """Default task model with standard table name.""" + + __tablename__ = 'tasks' diff --git a/src/a2a/server/tasks/__init__.py b/src/a2a/server/tasks/__init__.py index ab8f52f0..f7262524 100644 --- a/src/a2a/server/tasks/__init__.py +++ b/src/a2a/server/tasks/__init__.py @@ -1,5 +1,6 @@ """Components for managing tasks within the A2A server.""" +from a2a.server.tasks.database_task_store import DatabaseTaskStore from a2a.server.tasks.inmemory_push_notifier import InMemoryPushNotifier from a2a.server.tasks.inmemory_task_store import InMemoryTaskStore from a2a.server.tasks.push_notifier import PushNotifier @@ -10,6 +11,7 @@ __all__ = [ + 'DatabaseTaskStore', 'InMemoryPushNotifier', 'InMemoryTaskStore', 'PushNotifier', diff --git a/src/a2a/server/tasks/database_task_store.py b/src/a2a/server/tasks/database_task_store.py new file mode 100644 index 00000000..df87c3c7 --- /dev/null +++ b/src/a2a/server/tasks/database_task_store.py @@ -0,0 +1,197 @@ +import logging + + +try: + from sqlalchemy import delete, select, update + from sqlalchemy.ext.asyncio import ( + AsyncEngine, + AsyncSession, + async_sessionmaker, + create_async_engine, + ) +except ImportError as e: + raise ImportError( + 'DatabaseTaskStore requires SQLAlchemy and a database driver. ' + 'Install with one of: ' + "'pip install a2a-sdk[postgresql]', " + "'pip install a2a-sdk[mysql]', " + "'pip install a2a-sdk[sqlite]', " + "or 'pip install a2a-sdk[sql]'" + ) from e + +from a2a.server.models import Base, TaskModel, create_task_model +from a2a.server.tasks.task_store import TaskStore +from a2a.types import Task # Task is the Pydantic model + + +logger = logging.getLogger(__name__) + + +class DatabaseTaskStore(TaskStore): + """SQLAlchemy-based implementation of TaskStore. + + Stores task objects in a database supported by SQLAlchemy. + """ + + engine: AsyncEngine + async_session_maker: async_sessionmaker[AsyncSession] + create_table: bool + _initialized: bool + task_model: type[TaskModel] + + def __init__( + self, + db_url: str, + create_table: bool = True, + table_name: str = 'tasks', + ) -> None: + """Initializes the DatabaseTaskStore. + + Args: + db_url: Database connection string. + create_table: If true, create tasks table on initialization. + table_name: Name of the database table. Defaults to 'tasks'. + """ + logger.debug( + f'Initializing DatabaseTaskStore with DB URL: {db_url}, table: {table_name}' + ) + self.engine = create_async_engine( + db_url, echo=False + ) # Set echo=True for SQL logging + self.async_session_maker = async_sessionmaker( + self.engine, expire_on_commit=False + ) + self.create_table = create_table + self._initialized = False + + self.task_model = ( + TaskModel + if table_name == 'tasks' + else create_task_model(table_name) + ) + + async def initialize(self) -> None: + """Initialize the database and create the table if needed.""" + if self._initialized: + return + + logger.debug('Initializing database schema...') + if self.create_table: + async with self.engine.begin() as conn: + # This will create the 'tasks' table based on TaskModel's definition + await conn.run_sync(Base.metadata.create_all) + self._initialized = True + logger.debug('Database schema initialized.') + + async def close(self) -> None: + """Close the database connection engine.""" + if self.engine: + logger.debug('Closing database engine.') + await self.engine.dispose() + self._initialized = False # Reset initialization status + + async def _ensure_initialized(self) -> None: + """Ensure the database connection is initialized.""" + if not self._initialized: + await self.initialize() + + async def save(self, task: Task) -> None: + """Saves or updates a task in the database.""" + await self._ensure_initialized() + + task_data = task.model_dump( + mode='json' + ) # Converts Pydantic Task to dict with JSON-serializable values + + async with self.async_session_maker.begin() as session: + stmt_select = select(self.task_model).where( + self.task_model.id == task.id + ) + result = await session.execute(stmt_select) + existing_task_model = result.scalar_one_or_none() + + if existing_task_model: + logger.debug(f'Updating task {task.id} in the database.') + update_data = { + 'contextId': task_data['contextId'], + 'kind': task_data['kind'], + 'status': task_data[ + 'status' + ], # Already a dict from model_dump + 'artifacts': task_data.get( + 'artifacts' + ), # Already a list of dicts + 'history': task_data.get( + 'history' + ), # Already a list of dicts + 'task_metadata': task_data.get( + 'metadata' + ), # Already a dict + } + stmt_update = ( + update(self.task_model) + .where(self.task_model.id == task.id) + .values(**update_data) + ) + await session.execute(stmt_update) + else: + logger.debug(f'Saving new task {task.id} to the database.') + # Map Pydantic fields to database columns + new_task_model = self.task_model( + id=task_data['id'], + contextId=task_data['contextId'], + kind=task_data['kind'], + status=task_data['status'], + artifacts=task_data.get('artifacts'), + history=task_data.get('history'), + task_metadata=task_data.get( + 'metadata' + ), # Map metadata field to task_metadata column + ) + session.add(new_task_model) + # Commit is automatic when using session.begin() + logger.info(f'Task {task.id} saved successfully.') + + async def get(self, task_id: str) -> Task | None: + """Retrieves a task from the database by ID.""" + await self._ensure_initialized() + + async with self.async_session_maker() as session: + stmt = select(self.task_model).where(self.task_model.id == task_id) + result = await session.execute(stmt) + task_model = result.scalar_one_or_none() + + if task_model: + # Map database columns to Pydantic model fields + task_data_from_db = { + 'id': task_model.id, + 'contextId': task_model.contextId, + 'kind': task_model.kind, + 'status': task_model.status, + 'artifacts': task_model.artifacts, + 'history': task_model.history, + 'metadata': task_model.task_metadata, # Map task_metadata column to metadata field + } + # Pydantic's model_validate will parse the nested dicts/lists from JSON + task = Task.model_validate(task_data_from_db) + logger.debug(f'Task {task_id} retrieved successfully.') + return task + + logger.debug(f'Task {task_id} not found in store.') + return None + + async def delete(self, task_id: str) -> None: + """Deletes a task from the database by ID.""" + await self._ensure_initialized() + + async with self.async_session_maker.begin() as session: + stmt = delete(self.task_model).where(self.task_model.id == task_id) + result = await session.execute(stmt) + # Commit is automatic when using session.begin() + + if result.rowcount > 0: + logger.info(f'Task {task_id} deleted successfully.') + else: + logger.warning( + f'Attempted to delete nonexistent task with id: {task_id}' + ) diff --git a/tests/server/tasks/test_database_task_store.py b/tests/server/tasks/test_database_task_store.py new file mode 100644 index 00000000..588fc703 --- /dev/null +++ b/tests/server/tasks/test_database_task_store.py @@ -0,0 +1,430 @@ +import os + +from collections.abc import AsyncGenerator +from pathlib import Path + +import pytest +import pytest_asyncio + +from _pytest.mark.structures import ParameterSet + + +# Skip entire test module if SQLAlchemy is not installed +pytest.importorskip('sqlalchemy', reason='Database tests require SQLAlchemy') + +# Now safe to import SQLAlchemy-dependent modules +from sqlalchemy.ext.asyncio import create_async_engine +from sqlalchemy.inspection import inspect + +from a2a.server.models import Base, TaskModel # Important: To get Base.metadata +from a2a.server.tasks.database_task_store import DatabaseTaskStore +from a2a.types import ( + Artifact, + Message, + Part, + Role, + Task, + TaskState, + TaskStatus, + TextPart, +) + + +# DSNs for different databases +SQLITE_TEST_DSN = 'sqlite+aiosqlite:///file::memory:?cache=shared' +# SQLITE_TEST_DSN_FILE = "sqlite+aiosqlite:///./test_param.db" # For file-based SQLite inspection +POSTGRES_TEST_DSN = os.environ.get( + 'POSTGRES_TEST_DSN' +) # e.g., "postgresql+asyncpg://user:pass@host:port/dbname" +MYSQL_TEST_DSN = os.environ.get( + 'MYSQL_TEST_DSN' +) # e.g., "mysql+aiomysql://user:pass@host:port/dbname" + +# Parameterization for the db_store fixture +DB_CONFIGS: list[ParameterSet | tuple[str | None, str]] = [ + pytest.param((SQLITE_TEST_DSN, 'sqlite'), id='sqlite') +] + +if POSTGRES_TEST_DSN: + DB_CONFIGS.append( + pytest.param((POSTGRES_TEST_DSN, 'postgresql'), id='postgresql') + ) +else: + DB_CONFIGS.append( + pytest.param( + (None, 'postgresql'), + marks=pytest.mark.skip(reason='POSTGRES_TEST_DSN not set'), + id='postgresql_skipped', + ) + ) + +if MYSQL_TEST_DSN: + DB_CONFIGS.append(pytest.param((MYSQL_TEST_DSN, 'mysql'), id='mysql')) +else: + DB_CONFIGS.append( + pytest.param( + (None, 'mysql'), + marks=pytest.mark.skip(reason='MYSQL_TEST_DSN not set'), + id='mysql_skipped', + ) + ) + + +# Minimal Task object for testing - remains the same +task_status_submitted = TaskStatus( + state=TaskState.submitted, timestamp='2023-01-01T00:00:00Z' +) +MINIMAL_TASK_OBJ = Task( + id='task-abc', + contextId='session-xyz', + status=task_status_submitted, + kind='task', + metadata={'test_key': 'test_value'}, + artifacts=[], + history=[], +) + + +@pytest.fixture(scope='session', autouse=True) +def cleanup_sqlite_files(): + """Clean up SQLite file::memory: files created during tests.""" + yield + + sqlite_memory_file = Path('file::memory:') + if sqlite_memory_file.exists(): + try: + sqlite_memory_file.unlink() + except Exception: + pass + + +@pytest_asyncio.fixture(params=DB_CONFIGS) +async def db_store_parameterized( + request, +) -> AsyncGenerator[DatabaseTaskStore, None]: + """ + Fixture that provides a DatabaseTaskStore connected to different databases + based on parameterization (SQLite, PostgreSQL, MySQL). + """ + db_url, dialect_name = request.param + + if db_url is None: + pytest.skip(f'DSN for {dialect_name} not set in environment variables.') + + # Ensure the path for file-based SQLite exists if that DSN is used + # if "sqlite" in db_url and "memory" not in db_url: + # db_file_path = db_url.split("///")[-1] + # os.makedirs(os.path.dirname(db_file_path), exist_ok=True) + + engine = create_async_engine(db_url) + store = None # Initialize store to None for the finally block + + try: + # Create tables + async with engine.begin() as conn: + await conn.run_sync(Base.metadata.create_all) + + # create_table=False as we've explicitly created tables above. + store = DatabaseTaskStore(db_url, create_table=False) + # Initialize the store (connects, etc.). Safe to call even if tables exist. + await store.initialize() + + yield store + + finally: + # Teardown + if store: # If store was successfully created + await store.close() # Closes the store's own engine + + if engine: # If engine was created for setup/teardown + # Drop tables using the fixture's engine + async with engine.begin() as conn: + await conn.run_sync(Base.metadata.drop_all) + await engine.dispose() # Dispose the engine created in the fixture + + if dialect_name == 'sqlite': + sqlite_memory_file = Path('file::memory:') + if sqlite_memory_file.exists(): + try: + sqlite_memory_file.unlink() + except Exception: + pass + + +@pytest.mark.asyncio +async def test_initialize_creates_table( + db_store_parameterized: DatabaseTaskStore, +) -> None: + """Test that tables are created (implicitly by fixture setup).""" + # Ensure store is initialized (already done by fixture, but good for clarity) + await db_store_parameterized._ensure_initialized() + + # Use the store's engine for inspection + async with db_store_parameterized.engine.connect() as conn: + + def has_table_sync(sync_conn): + inspector = inspect(sync_conn) + return inspector.has_table(TaskModel.__tablename__) + + assert await conn.run_sync(has_table_sync) + + +@pytest.mark.asyncio +async def test_save_task(db_store_parameterized: DatabaseTaskStore) -> None: + """Test saving a task to the DatabaseTaskStore.""" + task_to_save = MINIMAL_TASK_OBJ.model_copy(deep=True) + # Ensure unique ID for parameterized tests if needed, or rely on table isolation + task_to_save.id = ( + f'save-task-{db_store_parameterized.engine.url.drivername}' + ) + await db_store_parameterized.save(task_to_save) + + retrieved_task = await db_store_parameterized.get(task_to_save.id) + assert retrieved_task is not None + assert retrieved_task.id == task_to_save.id + assert retrieved_task.model_dump() == task_to_save.model_dump() + await db_store_parameterized.delete(task_to_save.id) # Cleanup + + +@pytest.mark.asyncio +async def test_get_task(db_store_parameterized: DatabaseTaskStore) -> None: + """Test retrieving a task from the DatabaseTaskStore.""" + task_id = f'get-test-task-{db_store_parameterized.engine.url.drivername}' + task_to_save = MINIMAL_TASK_OBJ.model_copy(update={'id': task_id}) + await db_store_parameterized.save(task_to_save) + + retrieved_task = await db_store_parameterized.get(task_to_save.id) + assert retrieved_task is not None + assert retrieved_task.id == task_to_save.id + assert retrieved_task.contextId == task_to_save.contextId + assert retrieved_task.status.state == TaskState.submitted + await db_store_parameterized.delete(task_to_save.id) # Cleanup + + +@pytest.mark.asyncio +async def test_get_nonexistent_task( + db_store_parameterized: DatabaseTaskStore, +) -> None: + """Test retrieving a nonexistent task.""" + retrieved_task = await db_store_parameterized.get('nonexistent-task-id') + assert retrieved_task is None + + +@pytest.mark.asyncio +async def test_delete_task(db_store_parameterized: DatabaseTaskStore) -> None: + """Test deleting a task from the DatabaseTaskStore.""" + task_id = f'delete-test-task-{db_store_parameterized.engine.url.drivername}' + task_to_save_and_delete = MINIMAL_TASK_OBJ.model_copy( + update={'id': task_id} + ) + await db_store_parameterized.save(task_to_save_and_delete) + + assert ( + await db_store_parameterized.get(task_to_save_and_delete.id) is not None + ) + await db_store_parameterized.delete(task_to_save_and_delete.id) + assert await db_store_parameterized.get(task_to_save_and_delete.id) is None + + +@pytest.mark.asyncio +async def test_delete_nonexistent_task( + db_store_parameterized: DatabaseTaskStore, +) -> None: + """Test deleting a nonexistent task. Should not error.""" + await db_store_parameterized.delete('nonexistent-delete-task-id') + + +@pytest.mark.asyncio +async def test_save_and_get_detailed_task( + db_store_parameterized: DatabaseTaskStore, +) -> None: + """Test saving and retrieving a task with more fields populated.""" + task_id = f'detailed-task-{db_store_parameterized.engine.url.drivername}' + test_task = Task( + id=task_id, + contextId='test-session-1', + status=TaskStatus( + state=TaskState.working, timestamp='2023-01-01T12:00:00Z' + ), + kind='task', + metadata={'key1': 'value1', 'key2': 123}, + artifacts=[ + Artifact( + artifactId='artifact-1', + parts=[Part(root=TextPart(text='hello'))], + ) + ], + history=[ + Message( + messageId='msg-1', + role=Role.user, + parts=[Part(root=TextPart(text='user input'))], + ) + ], + ) + + await db_store_parameterized.save(test_task) + retrieved_task = await db_store_parameterized.get(test_task.id) + + assert retrieved_task is not None + assert retrieved_task.id == test_task.id + assert retrieved_task.contextId == test_task.contextId + assert retrieved_task.status.state == TaskState.working + assert retrieved_task.status.timestamp == '2023-01-01T12:00:00Z' + assert retrieved_task.metadata == {'key1': 'value1', 'key2': 123} + + # Pydantic models handle their own serialization for comparison if model_dump is used + assert ( + retrieved_task.model_dump()['artifacts'] + == test_task.model_dump()['artifacts'] + ) + assert ( + retrieved_task.model_dump()['history'] + == test_task.model_dump()['history'] + ) + + await db_store_parameterized.delete(test_task.id) + assert await db_store_parameterized.get(test_task.id) is None + + +@pytest.mark.asyncio +async def test_update_task(db_store_parameterized: DatabaseTaskStore) -> None: + """Test updating an existing task.""" + task_id = f'update-test-task-{db_store_parameterized.engine.url.drivername}' + original_task = Task( + id=task_id, + contextId='session-update', + status=TaskStatus( + state=TaskState.submitted, timestamp='2023-01-02T10:00:00Z' + ), + kind='task', + metadata=None, # Explicitly None + artifacts=[], + history=[], + ) + await db_store_parameterized.save(original_task) + + retrieved_before_update = await db_store_parameterized.get(task_id) + assert retrieved_before_update is not None + assert retrieved_before_update.status.state == TaskState.submitted + assert retrieved_before_update.metadata is None + + updated_task = original_task.model_copy(deep=True) + updated_task.status.state = TaskState.completed + updated_task.status.timestamp = '2023-01-02T11:00:00Z' + updated_task.metadata = {'update_key': 'update_value'} + + await db_store_parameterized.save(updated_task) + + retrieved_after_update = await db_store_parameterized.get(task_id) + assert retrieved_after_update is not None + assert retrieved_after_update.status.state == TaskState.completed + assert retrieved_after_update.metadata == {'update_key': 'update_value'} + + await db_store_parameterized.delete(task_id) + + +@pytest.mark.asyncio +async def test_metadata_field_mapping( + db_store_parameterized: DatabaseTaskStore, +) -> None: + """Test that metadata field is correctly mapped between Pydantic and SQLAlchemy. + + This test verifies: + 1. Metadata can be None + 2. Metadata can be a simple dict + 3. Metadata can contain nested structures + 4. Metadata is correctly saved and retrieved + 5. The mapping between task.metadata and task_metadata column works + """ + # Test 1: Task with no metadata (None) + task_no_metadata = Task( + id='task-metadata-test-1', + contextId='session-meta-1', + status=TaskStatus(state=TaskState.submitted), + kind='task', + metadata=None, + ) + await db_store_parameterized.save(task_no_metadata) + retrieved_no_metadata = await db_store_parameterized.get( + 'task-metadata-test-1' + ) + assert retrieved_no_metadata is not None + assert retrieved_no_metadata.metadata is None + + # Test 2: Task with simple metadata + simple_metadata = {'key': 'value', 'number': 42, 'boolean': True} + task_simple_metadata = Task( + id='task-metadata-test-2', + contextId='session-meta-2', + status=TaskStatus(state=TaskState.working), + kind='task', + metadata=simple_metadata, + ) + await db_store_parameterized.save(task_simple_metadata) + retrieved_simple = await db_store_parameterized.get('task-metadata-test-2') + assert retrieved_simple is not None + assert retrieved_simple.metadata == simple_metadata + + # Test 3: Task with complex nested metadata + complex_metadata = { + 'level1': { + 'level2': { + 'level3': ['a', 'b', 'c'], + 'numeric': 3.14159, + }, + 'array': [1, 2, {'nested': 'value'}], + }, + 'special_chars': 'Hello\nWorld\t!', + 'unicode': '🚀 Unicode test 你好', + 'null_value': None, + } + task_complex_metadata = Task( + id='task-metadata-test-3', + contextId='session-meta-3', + status=TaskStatus(state=TaskState.completed), + kind='task', + metadata=complex_metadata, + ) + await db_store_parameterized.save(task_complex_metadata) + retrieved_complex = await db_store_parameterized.get('task-metadata-test-3') + assert retrieved_complex is not None + assert retrieved_complex.metadata == complex_metadata + + # Test 4: Update metadata from None to dict + task_update_metadata = Task( + id='task-metadata-test-4', + contextId='session-meta-4', + status=TaskStatus(state=TaskState.submitted), + kind='task', + metadata=None, + ) + await db_store_parameterized.save(task_update_metadata) + + # Update metadata + task_update_metadata.metadata = {'updated': True, 'timestamp': '2024-01-01'} + await db_store_parameterized.save(task_update_metadata) + + retrieved_updated = await db_store_parameterized.get('task-metadata-test-4') + assert retrieved_updated is not None + assert retrieved_updated.metadata == { + 'updated': True, + 'timestamp': '2024-01-01', + } + + # Test 5: Update metadata from dict to None + task_update_metadata.metadata = None + await db_store_parameterized.save(task_update_metadata) + + retrieved_none = await db_store_parameterized.get('task-metadata-test-4') + assert retrieved_none is not None + assert retrieved_none.metadata is None + + # Cleanup + await db_store_parameterized.delete('task-metadata-test-1') + await db_store_parameterized.delete('task-metadata-test-2') + await db_store_parameterized.delete('task-metadata-test-3') + await db_store_parameterized.delete('task-metadata-test-4') + + +# Ensure aiosqlite, asyncpg, and aiomysql are installed in the test environment (added to pyproject.toml). diff --git a/tests/test_types.py b/tests/test_types.py index d57ddda0..e581b65c 100644 --- a/tests/test_types.py +++ b/tests/test_types.py @@ -192,9 +192,10 @@ def test_security_scheme_invalid(): name='my_api_key', ) # Missing "in" # type: ignore + with pytest.raises(ValidationError): OAuth2SecurityScheme( description='OAuth2 scheme missing flows', - ) # Missing "flows" + ) # Missing "flows" # type: ignore def test_agent_capabilities(): @@ -917,7 +918,7 @@ def test_a2a_request_root_model() -> None: 'jsonrpc': '2.0', 'method': 'tasks/pushNotificationConfig/set', 'params': task_push_config.model_dump(), - 'taskId': 2, + 'id': 2, } a2a_req_set_push_req = A2ARequest.model_validate(set_push_notif_req_data) assert isinstance( @@ -937,7 +938,7 @@ def test_a2a_request_root_model() -> None: 'jsonrpc': '2.0', 'method': 'tasks/pushNotificationConfig/get', 'params': id_params.model_dump(), - 'taskId': 2, + 'id': 2, } a2a_req_get_push_req = A2ARequest.model_validate(get_push_notif_req_data) assert isinstance( diff --git a/uv.lock b/uv.lock index 4bf862d3..a57d2385 100644 --- a/uv.lock +++ b/uv.lock @@ -1,12 +1,6 @@ version = 1 -revision = 1 +revision = 2 requires-python = ">=3.10" -resolution-markers = [ - "python_full_version >= '3.13'", - "python_full_version >= '3.12.4' and python_full_version < '3.13'", - "python_full_version >= '3.11' and python_full_version < '3.12.4'", - "python_full_version < '3.11'", -] [[package]] name = "a2a-sdk" @@ -21,10 +15,33 @@ dependencies = [ { name = "starlette" }, ] +[package.optional-dependencies] +mysql = [ + { name = "aiomysql" }, + { name = "sqlalchemy" }, +] +postgresql = [ + { name = "asyncpg" }, + { name = "sqlalchemy" }, +] +sql = [ + { name = "aiomysql" }, + { name = "aiosqlite" }, + { name = "asyncpg" }, + { name = "sqlalchemy" }, +] +sqlite = [ + { name = "aiosqlite" }, + { name = "sqlalchemy" }, +] + [package.dev-dependencies] dev = [ 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