From 84a044b45ae3b1ce273117b355036599e1428644 Mon Sep 17 00:00:00 2001 From: Rafik Nurmuhametov <113212617+raf-nr@users.noreply.github.com> Date: Tue, 8 Oct 2024 00:21:14 +0300 Subject: [PATCH] Architecture refactoring (#61) * chore(ci): remove the limitation on branches for automatic testing * chore(domain): replace optional model to new domain module * feat(tests): add tests for optional model * feat(domain): add file entity * feat(tests): add tests for file entity * chore(domain): replace and restructure task entities to new domain module * chore: change imports to absolute ones * chore(domain): add empty user submodule to domain module * fix(domain): add handling of incorrect case in optional model * chore(domain): add code documentation for tasks and file * chore(domain): add README files for domain modules * chore(use case): init use case module, exception and dto submodules * chore(use case): init file, task and user use case modules * chore: add pytest mock, pytest asyncio and cfgv to dependencies * fix: replace dto module to internal * feat(dto): add base schema for dto * feat(dto): add dto schemas for file * feat(dto): add dto schemas for file metadata * feat(dto): add dto schemas for dataset * feat(dto): add dto schemas for task * chore: init repository exceptions file * feat(dto): add dto schemas for task worker * chore: add readme file for dto module * feat: add file and dataset exceptions * fix: delete old use case exception module * feat(use case): add use case for file's content type checking * feat(tests): add tests for file's content type checking use case * feat: add Unit Of Work pattern implementation * feat(tests): add tests for unit of work * feat(use case): add use case for saving datasets * feat(tests): add tests for save dataset use case * feat(use case): add use case for file saving * feat(tests): add tests for save file use case * feat: add task use cases' exceptions * feat(use case): add use case for retrieving task * feat(tests): add tests for retrieve task use case * chore: add missing imports * feat(use case): add use case for setting task * feat(tests): add tests for set task use case * chore: add file for user's use case exceptions * chore: add readme file for usecase module * chore: init infrastructure, repository and worker modules * chore(infra): init data storage module * feat(infra): add settings for data storages * feat(infra): add context implementation for postgres * feat(infra): add base orm model for relational data bases * feat(infra): add base orm model for relational data bases * feat(infra): add file metadata model for relational data bases * feat(infra): add dataset model for relational data bases * feat(infra): add task model for relational data bases * chore(infra): add empty module for user relational models * chore: set new directories for test command in the makefile * chore: set new alembic.ini file's path for postgres migrations command in the makefile * feat(infra): add first empty postgres migration * feat(infra): add postgres db migration that creates file and dataset table * feat(infra): add postgres db migration that creates task table * feat(repo): add file repository implementation * chore(infra): rename and replace relational storage context * chore(repo): format code * fix(infra): remove typo in dataset relational model's fields * fix(uow): change the way to return a context from uow * feat(use case): add file metadata not found exception * feat(use case): add use case for retrieving datasets * feat(tests): add tests for retrieve dataset use case * fix(use case): remove unnecessery fields in profiling task worker interface * chore(use case): make usecase arguments callable only by key-value * feat(use case): add use case for updating task info * chore(dto): update task update schema * feat(tests): add tests for updating task info use case * feat(dto): add dataset and file metadata repositories' exceptions * feat(dto): add find and response schemas for csv files * feat(domain): add a function to get a primitive by its name * feat(use case): add use case for task profiling * feat(tests): add tests for profilie task use case * chore(infra): change name of relational context type * feat(infra): add postgres context and context maker * feat(repo): add find(read) csv file method to the file repository * feat(repo): add class with crud operations for relational repositories * feat(repo): add file metadata repository implementation * fix(tests): update conftest file, delete alembic tests * feat(infra): add necessary imports for migrations * feat(repo): add dataset repository implementation * feat(tests): update conftest file with database preparing fixture * feat(repo): add find with join for dataset repository * feat(repo): add task repository implementation * feat(infra): init background task and celery modules * feat(infra): add settings for background tasks * feat(infra): add celery config * feat(infra): add resource intensive celery task class * feat(infra): add dependencies for injection in celery tasks * feat(infra): add data profiling celery task * feat(infra): add the main celery worker * feat(worker): add data profiling worker implementation (for celery) * feat(rest): init rest module and its submodules * feat(test): add ping endpoint, common router * feat(rest): add dependencies for injection in endpoints * feat(rest): add dependencies for injection in file/dataset endpoints * feat(rest): add endpoint for upload csv datasets * feat(rest): add endpoint for retrieve datasets * feat(rest): add dependencies for injection in task endpoints * feat(rest): add endpoint for task setting * feat(rest): add endpoint for task retrieving * feat(rest): add di module for user * feat(rest): add main api router * feat: add main application (fastapi) object * feat: change path to app object and celery worker in makefile * fix(repo): typo in imports * fix(tests): remove typo in fixture name * chore: change name for celery worker in makefile * fix(infra): make the correct traceback processing * feat(rest): add use case's exceptions handling * chore(domain): add code documentation for math function * chore: add failed file read exception and its handler * chore: delete old app module * chore: format code * chore: change old module path in all makefile commands * fix(tests): remove typo in exception name and expande uow mocks * feat(infra): add flat file storage context and update use cases * feat(rest): update di after add new flat context * fix: typo in file metadata repository name * feat(tests): add tests for file repository * feat(tests): add tests for file metadata repository * feat(tests): add tests for dataset repository * feat(tests): add tests for task repository * fix(tests): add converter from UUID to string for file name * chore(domain): move task status and task failure reason classes in separate module * fix(dto): remove unnecessery generic in update schemas * chore: add and fix documentation for repo and use case exceptions * chore(infra): add readme file for data storage module * chore(infra): correct typing * chore: update new directories path in Dockerfile * chore(infra): add missed imports to postgres env.py file * chore: fix format errors * chore: delete sqlalchemy mixins from project dependencies * fix: type errors * chore: add command for type checking in makefile and rename old target names * chore: add type checking to ci * chore(infra): add relational/postgres context maker types * chore(infra): add helper functions for getting postgres context * feat(infra): implement an analogue of a transaction for local storage * feat(tests): add tests for new flat context * feat(infra): add relational add/delete models * chore(tests): divide the test directory into subdirectories for unit and integration testing * feat(infra): implement sync flush method for flat context * feat(infra): add universal context for storages * feat(tests): add tests for universal context * chore(usecase): add missed task usecases imports * feat(usecase): make a single unit of work in each use case and its usage in app * feat(repo): add processing for case when value is not found when updating in the database * feat(tests): add tests that check dependencies between modules * feat(tests): set up the correct system of fixtures with access to storage systems * feat(tests): add integration tests for all api usage scenarios * chore: format code, and some documentation and readme files --- .github/workflows/run-linter-and-tests.yaml | 7 +- Dockerfile | 4 +- Makefile | 35 +- README.md | 2 +- app/api/__init__.py | 9 - app/api/dataset.py | 49 - app/api/task.py | 44 - app/db/__init__.py | 2 - app/db/session.py | 70 - app/domain/common/README.md | 1 - app/domain/common/optional_model.py | 18 - app/domain/file/README.md | 1 - app/domain/file/dataset.py | 36 - app/domain/task/README.md | 1 - app/domain/task/__init__.py | 32 - app/domain/task/abstract_task.py | 51 - app/domain/task/afd/__init__.py | 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+ .../infrastructure/data_storage/README.md | 21 + .../infrastructure/data_storage/__init__.py | 12 + .../infrastructure/data_storage/context.py | 122 + .../data_storage/flat/__init__.py | 8 + .../data_storage/flat/context.py | 105 + .../data_storage/relational/README.md | 9 + .../data_storage/relational/__init__.py | 6 + .../data_storage/relational/context.py | 7 + .../data_storage/relational/model/__init__.py | 3 + .../relational/model/file/__init__.py | 6 + .../relational/model/file/dataset.py | 32 + .../relational/model/file/file_metadata.py | 20 +- .../relational/model/orm_base_model.py | 18 + .../relational/model/task/__init__.py | 3 + .../relational/model/task/task.py | 36 + .../relational/model/user/__init__.py | 0 .../relational/postgres/__init__.py | 6 + .../relational/postgres/context.py | 31 + .../relational/postgres/migrations/README | 1 + .../postgres/migrations}/alembic.ini | 12 +- .../relational/postgres}/migrations/env.py | 29 +- .../postgres}/migrations/script.py.mako 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tests/unit/domain/file/test_file_entity.py | 17 + tests/{ => unit}/domain/task/test_fd.py | 6 +- tests/unit/repository/flat/test_file.py | 74 + .../unit/repository/postgres/test_dataset.py | 96 + .../repository/postgres/test_file_metadata.py | 82 + tests/unit/repository/postgres/test_task.py | 130 + tests/unit/uow/test_unit_of_work.py | 40 + tests/unit/usecase/test_check_content_type.py | 37 + tests/unit/usecase/test_profile_task.py | 189 + tests/unit/usecase/test_retrieve_dataset.py | 99 + tests/unit/usecase/test_retrieve_task.py | 114 + tests/unit/usecase/test_save_dataset.py | 61 + tests/unit/usecase/test_save_file.py | 176 + tests/unit/usecase/test_set_task.py | 180 + tests/unit/usecase/test_update_task_info.py | 99 + 192 files changed, 8645 insertions(+), 3849 deletions(-) delete mode 100644 app/api/__init__.py delete mode 100644 app/api/dataset.py delete mode 100644 app/api/task.py delete mode 100644 app/db/__init__.py delete mode 100644 app/db/session.py delete mode 100644 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100644 internal/rest/http/user/__init__.py create mode 100644 internal/rest/http/user/di.py create mode 100644 internal/uow/README.md create mode 100644 internal/uow/__init__.py create mode 100644 internal/uow/uow.py create mode 100644 internal/usecase/README.md create mode 100644 internal/usecase/__init__.py create mode 100644 internal/usecase/file/__init__.py create mode 100644 internal/usecase/file/check_content_type.py create mode 100644 internal/usecase/file/exception.py create mode 100644 internal/usecase/file/retrieve_dataset.py create mode 100644 internal/usecase/file/save_dataset.py create mode 100644 internal/usecase/file/save_file.py create mode 100644 internal/usecase/task/__init__.py create mode 100644 internal/usecase/task/exception.py create mode 100644 internal/usecase/task/profile_task.py create mode 100644 internal/usecase/task/retrieve_task.py create mode 100644 internal/usecase/task/set_task.py create mode 100644 internal/usecase/task/update_task_info.py create mode 100644 internal/usecase/user/__init__.py create mode 100644 internal/usecase/user/exception.py create mode 100644 internal/worker/__init__.py create mode 100644 internal/worker/celery/__init__.py create mode 100644 internal/worker/celery/profiling_task_worker.py create mode 100644 tests/architecture/test_dependencies.py create mode 100644 tests/datasets/university.txt create mode 100644 tests/integration/common_requests.py create mode 100644 tests/integration/test_ping.py create mode 100644 tests/integration/test_retrieve_dataset_info.py create mode 100644 tests/integration/test_retrieve_task_info.py create mode 100644 tests/integration/test_set_profiling_task.py create mode 100644 tests/integration/test_upload_dataset.py create mode 100644 tests/unit/context/test_context.py create mode 100644 tests/unit/context/test_flat.py create mode 100644 tests/unit/domain/common/test_optional_model.py create mode 100644 tests/unit/domain/file/test_file_entity.py rename tests/{ => unit}/domain/task/test_fd.py (84%) create mode 100644 tests/unit/repository/flat/test_file.py create mode 100644 tests/unit/repository/postgres/test_dataset.py create mode 100644 tests/unit/repository/postgres/test_file_metadata.py create mode 100644 tests/unit/repository/postgres/test_task.py create mode 100644 tests/unit/uow/test_unit_of_work.py create mode 100644 tests/unit/usecase/test_check_content_type.py create mode 100644 tests/unit/usecase/test_profile_task.py create mode 100644 tests/unit/usecase/test_retrieve_dataset.py create mode 100644 tests/unit/usecase/test_retrieve_task.py create mode 100644 tests/unit/usecase/test_save_dataset.py create mode 100644 tests/unit/usecase/test_save_file.py create mode 100644 tests/unit/usecase/test_set_task.py create mode 100644 tests/unit/usecase/test_update_task_info.py diff --git a/.github/workflows/run-linter-and-tests.yaml b/.github/workflows/run-linter-and-tests.yaml index 8fec05e5..d3a48bed 100644 --- a/.github/workflows/run-linter-and-tests.yaml +++ b/.github/workflows/run-linter-and-tests.yaml @@ -1,11 +1,7 @@ name: Lint on: pull_request: - branches: - - main push: - branches: - - main jobs: run-linters-and-tests: runs-on: ubuntu-latest @@ -24,6 +20,9 @@ jobs: - name: Run all linters and formatters run: make lint + - name: Run type check + run: make check-types + - name: Up all containers run: docker compose -f dev-docker-compose.yaml up --build --force-recreate --remove-orphans -d diff --git a/Dockerfile b/Dockerfile index 9fd4bab2..97ef2f30 100644 --- a/Dockerfile +++ b/Dockerfile @@ -78,7 +78,7 @@ EXPOSE ${APPLICATION_SERVER_PORT} USER 1001 # Run the uvicorn application server. -CMD exec uvicorn --workers 1 --host 0.0.0.0 --port $APPLICATION_SERVER_PORT app.main:app +CMD exec uvicorn --workers 1 --host 0.0.0.0 --port $APPLICATION_SERVER_PORT internal:app FROM server-setup-build-stage as install-dependencies-build-stage # install [tool.poetry.dependencies] @@ -93,4 +93,4 @@ FROM server-setup-build-stage as production-image COPY --chown=python_application:python_application --from=install-dependencies-build-stage /application_root/.venv /application_root/.venv # Copy application files -COPY --chown=python_application:python_application /app /application_root/app/ +COPY --chown=python_application:python_application /internal /application_root/internal/ diff --git a/Makefile b/Makefile index 9b39e3b2..7d066d7d 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: env install-deps up open-db revision migrate downgrade worker app init lint test +.PHONY: env install-deps up open-db pg-revision pg-migrate pg-downgrade celery-worker app init lint test check-types ifeq ($(shell test -e '.env' && echo -n yes), yes) include .env @@ -27,24 +27,24 @@ open-db: docker exec -it desbordante-postgres psql -d $(POSTGRES_DB) -U $(POSTGRES_USER) ## Create new revision file automatically -revision: - poetry run alembic -c app/settings/alembic.ini revision --autogenerate $(args) +pg-revision: + poetry run alembic -c internal/infrastructure/data_storage/relational/postgres/migrations/alembic.ini revision --autogenerate $(args) ## Make migrations in database -migrate: - poetry run alembic -c app/settings/alembic.ini upgrade $(args) +pg-migrate: + poetry run alembic -c internal/infrastructure/data_storage/relational/postgres/migrations/alembic.ini upgrade $(args) ## Downgrade database -downgrade: - poetry run alembic -c app/settings/alembic.ini downgrade $(args) +pg-downgrade: + poetry run alembic -c internal/infrastructure/data_storage/relational/postgres/migrations/alembic.ini downgrade $(args) ## Run celery worker in watch mode -worker: - watchmedo auto-restart --directory=./ --pattern='*.py' --recursive -- celery -A app.worker worker --loglevel=info --concurrency=1 +celery-worker: + watchmedo auto-restart --directory=./ --pattern='*.py' --recursive -- celery -A internal.infrastructure.background_task.celery worker --loglevel=info --concurrency=1 ## Run application server in watch mode app: - poetry run uvicorn --port 8000 app.main:app --reload + poetry run uvicorn --port 8000 internal:app --reload ## Initiate repository init: @@ -52,18 +52,21 @@ init: ## Run all formatters and linters in project lint: - poetry run ruff check tests app \ - & poetry run ruff format --check tests app \ - & poetry run black --check tests app + poetry run ruff check tests internal \ + & poetry run ruff format --check tests internal \ + & poetry run black --check tests internal ## Reformat code format: - poetry run ruff format tests app & poetry run ruff check --fix & poetry run black tests app - + poetry run ruff format tests internal & poetry run ruff check --fix & poetry run black tests internal ## Run all tests in project test: - poetry run pytest -o log_cli=true --verbosity=2 --showlocals --log-cli-level=INFO --test-alembic --cov=app --cov-report term + poetry run pytest -o log_cli=true --verbosity=2 --showlocals --log-cli-level=INFO --cov=internal --cov-report term + +## Check all types +check-types: + poetry run pyright . .DEFAULT_GOAL := help # See for explanation. diff --git a/README.md b/README.md index fab93e8d..6c4e1790 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ Execute `make` to see all available rules with documentation 1. Activate virtual environment: `source .venv/bin/activate` 2. Don't forget to change values in .env 3. Run **development-only** containers: `make up` -4. Run celery worker in watch mode: `make worker` +4. Run celery worker in watch mode: `make celery-worker` 5. Run application in watch mode: `make app` ## Docs diff --git a/app/api/__init__.py b/app/api/__init__.py deleted file mode 100644 index fffb2610..00000000 --- a/app/api/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -from fastapi import APIRouter -from .ping import router as ping_router -from .task import router as task_router -from .dataset import router as dataset_router - -router = APIRouter(prefix="/api") -router.include_router(ping_router) -router.include_router(task_router) -router.include_router(dataset_router) diff --git a/app/api/dataset.py b/app/api/dataset.py deleted file mode 100644 index 389be883..00000000 --- a/app/api/dataset.py +++ /dev/null @@ -1,49 +0,0 @@ -from pathlib import Path -from typing import Annotated -from uuid import UUID, uuid4 -import aiofiles -from fastapi import APIRouter, Form, HTTPException, UploadFile - -from app.domain.file.dataset import DatasetORM -from app.domain.file.file import FileORM -from app.settings import settings - -router = APIRouter(prefix="/dataset") - - -async def save_file(in_file: UploadFile, out_file_path: Path): - CHUNK_SIZE = 1024 - try: - async with aiofiles.open(out_file_path, "wb") as out_file: - while content := await in_file.read(CHUNK_SIZE): - await out_file.write(content) - except Exception: - raise HTTPException(status_code=400, detail="Failed to save file") - - -@router.post("/csv") -async def upload_csv_dataset( - file: UploadFile, - separator: Annotated[str, Form()], # ?separator="," - header: Annotated[list[int], Form()], # ?header=0?header=1?header=2 -) -> UUID: - if file.content_type != "text/csv": # TODO: replace with actual validation - raise HTTPException(status_code=400, detail="File is not CSV") - - file_name = uuid4() - path_to_file = Path.joinpath(settings.uploaded_files_dir_path, str(file_name)) - await save_file(file, path_to_file) - - file_orm = FileORM.create( - mime_type=file.content_type, - file_name=file_name, - original_file_name=file.filename, - ) - - dataset_orm = DatasetORM.create( - separator=separator, - header=header, - file=file_orm, - ) - - return dataset_orm.id # type: ignore diff --git a/app/api/task.py b/app/api/task.py deleted file mode 100644 index c1bc5845..00000000 --- a/app/api/task.py +++ /dev/null @@ -1,44 +0,0 @@ -from uuid import UUID -from fastapi import APIRouter, HTTPException -from app.domain.file.dataset import DatasetORM -from app.domain.task.task import TaskModel, TaskORM, TaskStatus -from app.domain.worker.task.data_profiling_task import data_profiling_task -from app.domain.task import OneOfTaskConfig -from sqlalchemy_mixins.activerecord import ModelNotFoundError - -router = APIRouter(prefix="/task") - - -@router.post("") -def set_task( - dataset_id: UUID, - config: OneOfTaskConfig, -) -> UUID: - try: - DatasetORM.find_or_fail(dataset_id) - except ModelNotFoundError: - raise HTTPException(404, "Dataset not found") - - task_orm = TaskORM.create( - status=TaskStatus.CREATED, - config=config.model_dump(exclude_unset=True), - dataset_id=dataset_id, - ) - task_id = task_orm.id # type: ignore - - data_profiling_task.delay( - task_id=task_id, - dataset_id=dataset_id, - config=config, - ) - - return task_id - - -@router.get("/{task_id}", response_model_exclude_unset=True) -def retrieve_task(task_id: UUID) -> TaskModel: - try: - task_orm = TaskORM.find_or_fail(task_id) - return TaskModel.model_validate(task_orm) - except ModelNotFoundError: - raise HTTPException(404, "Task not found") diff --git a/app/db/__init__.py b/app/db/__init__.py deleted file mode 100644 index bf234495..00000000 --- a/app/db/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -from .session import ORMBase as ORMBase -from .session import ORMBaseModel as ORMBaseModel diff --git a/app/db/session.py b/app/db/session.py deleted file mode 100644 index a7389d8c..00000000 --- a/app/db/session.py +++ /dev/null @@ -1,70 +0,0 @@ -from contextlib import contextmanager -import datetime -from typing import Generator -from pydantic import BaseModel, ConfigDict -from sqlalchemy.orm import Session, sessionmaker -from sqlalchemy import create_engine -from app.settings import settings -from sqlalchemy.pool import NullPool -from sqlalchemy_mixins import AllFeaturesMixin -from sqlalchemy_mixins.timestamp import TimestampsMixin -from sqlalchemy_mixins.eagerload import EagerLoadMixin -from sqlalchemy.orm import DeclarativeBase - - -class ORMBase(AllFeaturesMixin, TimestampsMixin, EagerLoadMixin, DeclarativeBase): - __abstract__ = True - - -class ORMBaseModel(BaseModel): - model_config = ConfigDict(from_attributes=True) - - created_at: datetime.datetime - updated_at: datetime.datetime - - -default_engine = create_engine(url=settings.postgres_dsn.unicode_string()) -engine_without_pool = create_engine( - url=settings.postgres_dsn.unicode_string(), - poolclass=NullPool, -) - -SessionLocal = sessionmaker(bind=default_engine) -SessionLocalWithoutPool = sessionmaker(bind=engine_without_pool) - - -@contextmanager -def get_session(with_pool=True) -> Generator[Session, None, None]: - """ - Returns a generator that yields a session object for database operations. - - Parameters: - with_pool (bool): A flag to determine if the session uses a connection pool. - Set to False when used in a Celery task. Defaults to True. - """ - maker = SessionLocal if with_pool else SessionLocalWithoutPool - with maker() as session: - yield session - - -# Default session with pooling -with get_session() as session: - ORMBase.set_session(session) - - -@contextmanager -def no_pooling() -> Generator[None, None, None]: - """ - Operations without pooling in contextmanager scoupe - Example: - - # operations with pooling - with no_pooling(): - # operations WITHOUT pooling - # operations with pooling - """ - old_session = ORMBase.session - with get_session(with_pool=False) as session: - ORMBase.set_session(session) - yield - ORMBase.set_session(old_session) diff --git a/app/domain/common/README.md b/app/domain/common/README.md deleted file mode 100644 index 02d09dbc..00000000 --- a/app/domain/common/README.md +++ /dev/null @@ -1 +0,0 @@ -Тут просто общие для всего проекта вещи. Например, макисмально базовые классы, которые не отнятся напрямую к бизнес-логике и другим доменам. diff --git a/app/domain/common/optional_model.py b/app/domain/common/optional_model.py deleted file mode 100644 index 39965fe3..00000000 --- a/app/domain/common/optional_model.py +++ /dev/null @@ -1,18 +0,0 @@ -from __future__ import annotations -from pydantic import BaseModel -from typing import Any - - -class OptionalModel(BaseModel): - __non_optional_fields__ = set() - - @classmethod - def __pydantic_init_subclass__(cls, **kwargs: Any) -> None: - super().__pydantic_init_subclass__(**kwargs) - - for field in cls.model_fields.values(): - if field in cls.__non_optional_fields__: - continue - field.default = None - - cls.model_rebuild(force=True) diff --git a/app/domain/file/README.md b/app/domain/file/README.md deleted file mode 100644 index de7d6991..00000000 --- a/app/domain/file/README.md +++ /dev/null @@ -1 +0,0 @@ -Это доменная область отвечет за обработку (загрузку, удаление, хранение и т.п) файлов, включая датасеты для задач домена task. diff --git a/app/domain/file/dataset.py b/app/domain/file/dataset.py deleted file mode 100644 index 42e7bb27..00000000 --- a/app/domain/file/dataset.py +++ /dev/null @@ -1,36 +0,0 @@ -from uuid import UUID, uuid4 -from sqlalchemy import ForeignKey, Integer -from sqlalchemy.orm import relationship, Mapped, mapped_column -from sqlalchemy.dialects.postgresql import ARRAY -from app.db import ORMBase -from app.db.session import ORMBaseModel -from app.domain.file.file import FileModel, FileORM -import typing - -if typing.TYPE_CHECKING: - from app.domain.task.task import TaskORM - - -class DatasetORM(ORMBase): - __tablename__ = "dataset" - id: Mapped[UUID] = mapped_column(primary_key=True, default=uuid4) - - is_built_in: Mapped[bool] = mapped_column(default=False) - header: Mapped[list[int]] = mapped_column(ARRAY(Integer), default=[]) - separator: Mapped[str] - file_id: Mapped[UUID] = mapped_column(ForeignKey("file.id"), nullable=False) - file: Mapped[FileORM] = relationship("FileORM") - - related_tasks: Mapped[list["TaskORM"]] = relationship( - "TaskORM", back_populates="dataset" - ) - - # owner = relationship("UserORM") - - -class DatasetModel(ORMBaseModel): - id: UUID - is_built_in: bool - separator: str - header: list[int] - file: FileModel diff --git a/app/domain/task/README.md b/app/domain/task/README.md deleted file mode 100644 index 75e1967d..00000000 --- a/app/domain/task/README.md +++ /dev/null @@ -1 +0,0 @@ -Это доменная область, отвечающая за создание задач в терминах desbordante. То есть задач поиска и проверки функциональных или иных зависимостей по данным. diff --git a/app/domain/task/__init__.py b/app/domain/task/__init__.py deleted file mode 100644 index d0f4aa6b..00000000 --- a/app/domain/task/__init__.py +++ /dev/null @@ -1,32 +0,0 @@ -from app.domain.task.afd import AfdTask, AfdTaskConfig, AfdTaskResult -from app.domain.task.fd import FdTaskConfig, FdTaskResult -from typing import Annotated, Union, assert_never -from pydantic import Field -from app.domain.task.fd import FdTask -from app.domain.task.primitive_name import PrimitiveName - - -OneOfTaskConfig = Annotated[ - Union[ - FdTaskConfig, - AfdTaskConfig, - ], - Field(discriminator="primitive_name"), -] - -OneOfTaskResult = Annotated[ - Union[ - FdTaskResult, - AfdTaskResult, - ], - Field(discriminator="primitive_name"), -] - - -def match_task_by_primitive_name(primitive_name: PrimitiveName): - match primitive_name: - case PrimitiveName.fd: - return FdTask() - case PrimitiveName.afd: - return AfdTask() - assert_never(primitive_name) diff --git a/app/domain/task/abstract_task.py b/app/domain/task/abstract_task.py deleted file mode 100644 index df523df3..00000000 --- a/app/domain/task/abstract_task.py +++ /dev/null @@ -1,51 +0,0 @@ -from abc import ABC, abstractmethod -from enum import StrEnum -from typing import Any, Protocol -import desbordante -import pandas -from pydantic import BaseModel - - -class AlgoConfig(Protocol): - @property - def algo_name(self) -> StrEnum: ... - - # forces to use pydantic classes there - model_dump = BaseModel.model_dump - - -class TaskConfig(Protocol): - @property - def primitive_name(self) -> StrEnum: ... - - @property - def config(self) -> AlgoConfig: ... - - # forces to use pydantic classes there - model_dump = BaseModel.model_dump - - -class TaskResult(Protocol): - @property - def primitive_name(self) -> StrEnum: ... - - result: Any - - # forces to use pydantic classes there - model_dump = BaseModel.model_dump - - -class Task[C: TaskConfig, R: TaskResult](ABC): - @abstractmethod - def match_algo_by_name(self, algo_name) -> desbordante.Algorithm: ... - - @abstractmethod - def collect_result(self, algo) -> R: ... - - def execute(self, table: pandas.DataFrame, task_config: C) -> R: - algo_config = task_config.config - options = algo_config.model_dump(exclude_unset=True, exclude={"algo_name"}) - algo = self.match_algo_by_name(algo_config.algo_name) - algo.load_data(table=table) - algo.execute(**options) - return self.collect_result(algo) diff --git a/app/domain/task/afd/__init__.py b/app/domain/task/afd/__init__.py deleted file mode 100644 index 394ce317..00000000 --- a/app/domain/task/afd/__init__.py +++ /dev/null @@ -1,36 +0,0 @@ -from typing import Literal, assert_never -from pydantic import BaseModel -from desbordante.fd import FdAlgorithm # This is not a typo -from app.domain.task.abstract_task import Task -from app.domain.task.primitive_name import PrimitiveName -from .config import OneOfAfdConfig -from .result import AfdAlgoResult, FdModel -from .algo_name import AfdAlgoName -from desbordante.afd.algorithms import Pyro, Tane - - -class BaseAfdTaskModel(BaseModel): - primitive_name: Literal[PrimitiveName.afd] - - -class AfdTaskConfig(BaseAfdTaskModel): - config: OneOfAfdConfig - - -class AfdTaskResult(BaseAfdTaskModel): - result: AfdAlgoResult - - -class AfdTask(Task[AfdTaskConfig, AfdTaskResult]): - def collect_result(self, algo: FdAlgorithm) -> AfdTaskResult: - fds = algo.get_fds() - algo_result = AfdAlgoResult(fds=list(map(FdModel.from_fd, fds))) - return AfdTaskResult(primitive_name=PrimitiveName.afd, result=algo_result) - - def match_algo_by_name(self, algo_name: AfdAlgoName) -> FdAlgorithm: - match algo_name: - case AfdAlgoName.Pyro: - return Pyro() - case AfdAlgoName.Tane: - return Tane() - assert_never(algo_name) diff --git a/app/domain/task/afd/result.py b/app/domain/task/afd/result.py deleted file mode 100644 index ce59ecf9..00000000 --- a/app/domain/task/afd/result.py +++ /dev/null @@ -1,4 +0,0 @@ -from app.domain.task.fd.result import FdAlgoResult, FdModel - -AfdAlgoResult = FdAlgoResult -FdModel = FdModel diff --git a/app/domain/task/fd/__init__.py b/app/domain/task/fd/__init__.py deleted file mode 100644 index efe776bb..00000000 --- a/app/domain/task/fd/__init__.py +++ /dev/null @@ -1,64 +0,0 @@ -from typing import Literal -from pydantic import BaseModel -from app.domain.task.abstract_task import Task -from typing import assert_never -from desbordante.fd import FdAlgorithm -from desbordante.fd.algorithms import ( - Aid, - DFD, - Depminer, - FDep, - FUN, - FastFDs, - FdMine, - HyFD, - Pyro, - Tane, -) -from app.domain.task.fd.algo_name import FdAlgoName -from app.domain.task.primitive_name import PrimitiveName -from .config import OneOfFdAlgoConfig -from .result import FdAlgoResult, FdModel - - -class BaseFdTaskModel(BaseModel): - primitive_name: Literal[PrimitiveName.fd] - - -class FdTaskConfig(BaseFdTaskModel): - config: OneOfFdAlgoConfig - - -class FdTaskResult(BaseFdTaskModel): - result: FdAlgoResult - - -class FdTask(Task[FdTaskConfig, FdTaskResult]): - def collect_result(self, algo: FdAlgorithm) -> FdTaskResult: - fds = algo.get_fds() - algo_result = FdAlgoResult(fds=list(map(FdModel.from_fd, fds))) - return FdTaskResult(primitive_name=PrimitiveName.fd, result=algo_result) - - def match_algo_by_name(self, algo_name: FdAlgoName) -> FdAlgorithm: - match algo_name: - case FdAlgoName.Aid: - return Aid() - case FdAlgoName.DFD: - return DFD() - case FdAlgoName.Depminer: - return Depminer() - case FdAlgoName.FDep: - return FDep() - case FdAlgoName.FUN: - return FUN() - case FdAlgoName.FastFDs: - return FastFDs() - case FdAlgoName.FdMine: - return FdMine() - case FdAlgoName.HyFD: - return HyFD() - case FdAlgoName.Pyro: - return Pyro() - case FdAlgoName.Tane: - return Tane() - assert_never(algo_name) diff --git a/app/domain/task/task.py b/app/domain/task/task.py deleted file mode 100644 index 09010069..00000000 --- a/app/domain/task/task.py +++ /dev/null @@ -1,60 +0,0 @@ -from enum import StrEnum, auto -import typing -from uuid import UUID, uuid4 -from sqlalchemy.orm import Mapped, mapped_column -from app.db import ORMBase -from app.db.session import ORMBaseModel -from sqlalchemy import ForeignKey -from sqlalchemy.orm import relationship -from app.domain.file.dataset import DatasetModel -from app.domain.task import OneOfTaskConfig, OneOfTaskResult - -from sqlalchemy.dialects.postgresql import JSONB - -if typing.TYPE_CHECKING: - from app.domain.file.dataset import DatasetORM - - -class TaskStatus(StrEnum): - FAILED = auto() - CREATED = auto() - RUNNING = auto() - COMPLETED = auto() - - -class TaskFailureReason(StrEnum): - MEMORY_LIMIT_EXCEEDED = auto() - TIME_LIMIT_EXCEEDED = auto() - WORKER_KILLED_BY_SIGNAL = auto() - OTHER = auto() - - -class TaskORM(ORMBase): - __tablename__ = "task" - id: Mapped[UUID] = mapped_column(primary_key=True, default=uuid4) - - status: Mapped[TaskStatus] - config: Mapped[OneOfTaskConfig] = mapped_column(JSONB) - result: Mapped[OneOfTaskResult | None] = mapped_column(JSONB, default=None) - - dataset_id: Mapped[UUID] = mapped_column(ForeignKey("dataset.id"), nullable=False) - dataset: Mapped["DatasetORM"] = relationship( - "DatasetORM", back_populates="related_tasks" - ) - - # Only if task failed - raised_exception_name: Mapped[str | None] = mapped_column(default=None) - failure_reason: Mapped[TaskFailureReason | None] = mapped_column(default=None) - traceback: Mapped[str | None] = mapped_column(default=None) - - -class TaskModel(ORMBaseModel): - id: UUID - status: TaskStatus - config: OneOfTaskConfig - result: OneOfTaskResult | None - dataset: DatasetModel - - raised_exception_name: str | None - failure_reason: TaskFailureReason | None - traceback: str | None diff --git a/app/domain/user/README.md b/app/domain/user/README.md deleted file mode 100644 index 69c39aa2..00000000 --- a/app/domain/user/README.md +++ /dev/null @@ -1 +0,0 @@ -Это доменная область отвечает за распределение прав, авторизацию, аутентификацию и иные действия связанные с пользовательм веб-сервиса. diff --git a/app/domain/worker/README.md b/app/domain/worker/README.md deleted file mode 100644 index 8e56d1e2..00000000 --- a/app/domain/worker/README.md +++ /dev/null @@ -1 +0,0 @@ -Это доменная область отвечает за создание задач в терминах Celery. Это могут быть как задачи в терминах домена task, так и задачи по отложенной отправке или любые другие требующие отложенного выполнения или высоконагруженных вычислений. diff --git a/app/domain/worker/task/__init__.py b/app/domain/worker/task/__init__.py deleted file mode 100644 index 0d2af877..00000000 --- a/app/domain/worker/task/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .data_profiling_task import data_profiling_task as data_profiling_task diff --git a/app/domain/worker/task/data_profiling_task.py b/app/domain/worker/task/data_profiling_task.py deleted file mode 100644 index 00c218d6..00000000 --- a/app/domain/worker/task/data_profiling_task.py +++ /dev/null @@ -1,90 +0,0 @@ -from typing import Any -from uuid import UUID - -from app.db.session import no_pooling -from app.domain.file.dataset import DatasetORM -from app.domain.task import OneOfTaskConfig, OneOfTaskResult -from app.domain.task import match_task_by_primitive_name -from app.domain.task.task import TaskFailureReason, TaskORM, TaskStatus -from app.worker import worker -from app.domain.worker.task.resource_intensive_task import ResourceIntensiveTask -import pandas as pd -from celery.signals import task_failure, task_prerun, task_postrun -from celery.exceptions import SoftTimeLimitExceeded, TimeLimitExceeded, WorkerLostError - - -@worker.task(base=ResourceIntensiveTask, ignore_result=True, max_retries=0) -def data_profiling_task( - task_id: UUID, - dataset_id: UUID, - config: OneOfTaskConfig, -) -> Any: - with no_pooling(): - dataset_orm: DatasetORM = ( - DatasetORM.with_joined(DatasetORM.file) # type: ignore - .where(DatasetORM.id == dataset_id) - .first() - ) - - df = pd.read_csv( - dataset_orm.file.path_to_file, - sep=dataset_orm.separator, - header=dataset_orm.header, - ) - - task = match_task_by_primitive_name(config.primitive_name) - result = task.execute(df, config) # type: ignore - return result - - -@task_prerun.connect(sender=data_profiling_task) -def task_prerun_notifier( - kwargs, - **_, -): - db_task_id: UUID = kwargs["task_id"] - with no_pooling(): - task_orm = TaskORM.find_or_fail(db_task_id) - task_orm.update(status=TaskStatus.RUNNING) # type: ignore - - -@task_postrun.connect(sender=data_profiling_task) -def task_postrun_notifier( - kwargs, - retval: OneOfTaskResult, - **_, -): - db_task_id: UUID = kwargs["task_id"] - with no_pooling(): - task_orm = TaskORM.find_or_fail(db_task_id) # type: ignore - task_orm.update( - status=TaskStatus.COMPLETED, # type: ignore - result=retval.model_dump(), - ) - - -@task_failure.connect(sender=data_profiling_task) -def task_failure_notifier( - kwargs, - exception: Exception, - traceback, - **_, -): - # TODO: test all possible exceptions - task_failure_reason = TaskFailureReason.OTHER - if isinstance(exception, (TimeLimitExceeded, SoftTimeLimitExceeded)): - task_failure_reason = TaskFailureReason.TIME_LIMIT_EXCEEDED - if isinstance(exception, MemoryError): - task_failure_reason = TaskFailureReason.MEMORY_LIMIT_EXCEEDED - if isinstance(exception, WorkerLostError): - task_failure_reason = TaskFailureReason.WORKER_KILLED_BY_SIGNAL - - db_task_id: UUID = kwargs["task_id"] - with no_pooling(): - task_orm = TaskORM.find_or_fail(db_task_id) # type: ignore - task_orm.update( - status=TaskStatus.FAILED, # type: ignore - raised_exception_name=exception.__class__.__name__, # type: ignore - failure_reason=task_failure_reason, # type: ignore - traceback=traceback, - ) diff --git a/app/settings/__init__.py b/app/settings/__init__.py deleted file mode 100644 index 40a4d46c..00000000 --- a/app/settings/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .settings import get_settings - -settings = get_settings() diff --git a/app/worker.py b/app/worker.py deleted file mode 100644 index 0a7fa4f7..00000000 --- a/app/worker.py +++ /dev/null @@ -1,10 +0,0 @@ -from celery import Celery - -from app.settings import settings - -worker = Celery( - __name__, - broker=settings.rabbitmq_dsn.unicode_string(), - include=["app.domain.worker.task"], -) -worker.config_from_object("app.settings.celery_config") diff --git a/internal/README.md b/internal/README.md new file mode 100644 index 00000000..d18aaa3b --- /dev/null +++ b/internal/README.md @@ -0,0 +1,22 @@ +# Internal Module + +## Description + +This application is built upon the principles of Clean Architecture. Clean Architecture emphasizes separation of concerns, making the codebase easier to maintain, test, and scale. The architecture is structured to allow flexibility and independence from frameworks, which enhances the portability of the code. + +For more information about Clean Architecture, you may refer to the following resources: +- [Clean Architecture: A Craftsman's Guide to Software Structure and Design by Robert C. Martin](https://www.oreilly.com/library/view/clean-architecture-a/9780134494272/) +- [Clean Architecture](https://github.com/preslavmihaylov/booknotes/tree/master/architecture/clean-architecture) + +## Structure + +The internal module is organized into the following components: + +- **Domain**: Contains the core business logic and entities. This is where the application's fundamental rules are defined. +- **Use Case**: Represents application-specific business rules and orchestrates the flow of data between the domain and external layers. +- **Unit of Work (UoW)**: Manages transactional boundaries and ensures that a series of operations can be committed or rolled back as a single unit. +- **Repository**: Abstracts the data access layer, providing methods for retrieving and storing entities. +- **Worker**: Provides abstractions for running background tasks and managing asynchronous operations. +- **DTO (Data Transfer Object)**: Handles the data transfer between use cases and the external world, ensuring that only the necessary data is exposed and passed around. + +This structure facilitates maintainability and scalability by enforcing clear boundaries and responsibilities within the application. diff --git a/app/main.py b/internal/__init__.py similarity index 61% rename from app/main.py rename to internal/__init__.py index 1f4349a2..84a018cd 100644 --- a/app/main.py +++ b/internal/__init__.py @@ -1,10 +1,11 @@ from fastapi import FastAPI from starlette.middleware.cors import CORSMiddleware -from app import api +from internal.rest import http +from internal.rest.http.exception import add_exception_handlers app = FastAPI() -app.include_router(api.router) +app.include_router(http.router) app.add_middleware( CORSMiddleware, allow_origins=["*"], @@ -12,3 +13,4 @@ allow_methods=["*"], allow_headers=["*"], ) +add_exception_handlers(app) diff --git a/internal/domain/README.md b/internal/domain/README.md new file mode 100644 index 00000000..56ba0df1 --- /dev/null +++ b/internal/domain/README.md @@ -0,0 +1,22 @@ +# domain module +The `domain` module serves as the core component of the application, encapsulating the fundamental domain logic and entities. + +## Purpose +The `domain` module is designed to encapsulate the core business logic and domain entities of the application. By organizing the module into submodules, the architecture maintains a clear separation of concerns, promoting scalability and ease of maintenance. + +To extend or modify the domain logic, developers can add new submodules or enhance existing ones while adhering to the principles of clean architecture. + + +## Submodules + +### Common +The `common` submodule contains shared components and utilities used across other submodules. This includes base models and common logic that can be leveraged by user, task, and file entities. + +### User +The `user` submodule manages user-related entities and functionalities. It includes classes and configurations for handling user settings, authentication, and authorization, centralizing user management within the domain. + +### Task +The `task` submodule provides the foundation for data profiling tasks. It includes abstract base classes and concrete implementations for different profiling algorithms. + +### File +The `file` submodule handles file and dataset-related entities and operations. diff --git a/app/__init__.py b/internal/domain/__init__.py similarity index 100% rename from app/__init__.py rename to internal/domain/__init__.py diff --git a/internal/domain/common/README.md b/internal/domain/common/README.md new file mode 100644 index 00000000..60efd9c0 --- /dev/null +++ b/internal/domain/common/README.md @@ -0,0 +1,2 @@ +## domain.common module +This module contains shared components, utilities, and base classes that are used across multiple domain entities in the project. The goal of these components is to promote code reusability and maintain consistency within the domain layer of the application. diff --git a/internal/domain/common/__init__.py b/internal/domain/common/__init__.py new file mode 100644 index 00000000..3e6148bf --- /dev/null +++ b/internal/domain/common/__init__.py @@ -0,0 +1 @@ +from internal.domain.common.optional_model import OptionalModel # noqa: F401 diff --git a/internal/domain/common/optional_model.py b/internal/domain/common/optional_model.py new file mode 100644 index 00000000..904b0e23 --- /dev/null +++ b/internal/domain/common/optional_model.py @@ -0,0 +1,42 @@ +from __future__ import annotations +from pydantic import BaseModel +from typing import Any + + +class OptionalModel(BaseModel): + """ + A base model class that automatically sets all fields, except those defined in + `__non_optional_fields__`, to `None` by default. This allows for the creation + of model where fields are optional unless explicitly marked as required. + + Attributes: + __non_optional_fields__ (set): A set of field names that should remain + non-optional. Fields listed here will not have `None` as their default value. + """ + + __non_optional_fields__ = set() + + @classmethod + def __pydantic_init_subclass__(cls, **kwargs: Any) -> None: + """ + Class-level initializer that ensures all fields except those specified + in `__non_optional_fields__` are set to `None` by default. This method + is called during the subclass initialization process. + + Args: + **kwargs: Arbitrary keyword arguments passed to the superclass initializer. + Exceptions: + ValueError: If a field listed in `__non_optional_fields__` has a default value of `None`. + """ + super().__pydantic_init_subclass__(**kwargs) + + for field_name, value in cls.model_fields.items(): + if field_name in cls.__non_optional_fields__: + if value.default is None: + raise ValueError( + f"Field '{field_name}' is in __non_optional_fields__ but has a default value of None." + ) + continue + value.default = None + + cls.model_rebuild(force=True) diff --git a/internal/domain/file/README.md b/internal/domain/file/README.md new file mode 100644 index 00000000..6ed54b23 --- /dev/null +++ b/internal/domain/file/README.md @@ -0,0 +1,19 @@ +## domain.file module +This module contains core entities for managing and handling files and datasets. It includes abstractions and utilities for working with files and offers ways to represent datasets. + +## Usage +### File entity +The `File` class represents a file entity and generates a UUID for each file instance, ensuring that every file is uniquely identifiable. +Example: +```python +from domain.file import File + +# Creating a new file instance +file = File() + +# Access the file's UUID as a string +print(file.name) + +# Access the file's UUID in UUID format +print(file.name_as_uuid) +``` diff --git a/internal/domain/file/__init__.py b/internal/domain/file/__init__.py new file mode 100644 index 00000000..094eafcd --- /dev/null +++ b/internal/domain/file/__init__.py @@ -0,0 +1 @@ +from internal.domain.file.file import File # noqa: F401 diff --git a/internal/domain/file/file.py b/internal/domain/file/file.py new file mode 100644 index 00000000..9e70a7fb --- /dev/null +++ b/internal/domain/file/file.py @@ -0,0 +1,29 @@ +from uuid import uuid4, UUID + + +class File: + """ + A class that represents a file with a unique identifier. + """ + + def __init__(self): + """ + This constructor generates a new UUID and assigns it as the file's name. + """ + self._name = uuid4() + + @property + def name(self) -> str: + """ + Returns: + str: The UUID of the file in string format. + """ + return str(self._name) + + @property + def name_as_uuid(self) -> UUID: + """ + Returns: + UUID: The file's name as a UUID object. + """ + return self._name diff --git a/internal/domain/task/README.md b/internal/domain/task/README.md new file mode 100644 index 00000000..a8a0f6b8 --- /dev/null +++ b/internal/domain/task/README.md @@ -0,0 +1,59 @@ +# domain.task module + +This module provides the foundational components for defining and executing data profiling tasks. It includes abstract base classes for tasks and specific implementations for different types of algorithms. + +## Usage + +### Task Entity + +The `Task` class is an abstract base class that serves as the foundation for specific data profiling tasks. It defines the essential methods for executing algorithms and handling their results. + +#### Methods: +- **`_match_algo_by_name(algo_name)`**: This method is responsible for matching and returning the appropriate algorithm instance based on the given algorithm name. This method must be implemented by subclasses to handle specific algorithms. + +- **`_collect_result(algo)`**: This method processes the result obtained from the executed algorithm and returns it in a standardized format. It must be implemented by subclasses to handle the result processing specific to each task type. + +- **`execute(table: pandas.DataFrame, task_config: C) -> R`**: This method runs the algorithm on the provided data table using the given configuration and returns the result. It orchestrates the workflow of loading data, executing the algorithm, and collecting results. + +The `Task` class is designed to be extended by specific task implementations. +To add a new primitive to an application, implement a schema for the configuration and result of task execution, and then inherit from Task class, implementing methods **`_match_algo_by_name(algo_name)`** and **`_collect_result(algo)`**. + +### FD Task Entity + +The `FdTask` class is a specific implementation of the `Task` class designed for Functional Dependency (FD) profiling. + +The `FdTask` class enables the execution of different FD algorithms and processes their results into the appropriate format for further use. + +#### Example: +```python +from internal.domain.task import FdTask +from internal.domain.task.value_objects import FdTaskConfig, PrimitiveName +from internal.domain.task.value_objects.fd import FdAlgoName +from some_storage import table # read dataset + +task = FdTask() +config = FdTaskConfig( + primitive_name=PrimitiveName.fd, + config={"algo_name": FdAlgoName.FdMine}, +) +result = task.execute(table, config) +``` + +### AFD Task Entity +The `AfdTask` class is a specific implementation of the `Task` class designed for Approximate Functional Dependency (AFD) profiling. +All capabilities are similar to the previous one, just for AFD. +#### Example: +```python +from internal.domain.task import AfdTask +from internal.domain.task.value_objects import AfdTaskConfig, PrimitiveName +from internal.domain.task.value_objects.afd import AfdAlgoName +from some_storage import table # read dataset + +task = AfdTask() +config = AfdTaskConfig( + primitive_name=PrimitiveName.afd, + config={"algo_name": AfdAlgoName.Pyro}, +) +result = task.execute(table, config) + +``` diff --git a/internal/domain/task/__init__.py b/internal/domain/task/__init__.py new file mode 100644 index 00000000..8a37c343 --- /dev/null +++ b/internal/domain/task/__init__.py @@ -0,0 +1,2 @@ +from internal.domain.task.entities import FdTask # noqa: F401 +from internal.domain.task.entities import AfdTask # noqa: F401 diff --git a/internal/domain/task/entities/__init__.py b/internal/domain/task/entities/__init__.py new file mode 100644 index 00000000..975311fa --- /dev/null +++ b/internal/domain/task/entities/__init__.py @@ -0,0 +1,26 @@ +from typing import assert_never + +from internal.domain.task.entities.fd import FdTask +from internal.domain.task.entities.afd import AfdTask +from internal.domain.task.value_objects import PrimitiveName + + +def match_task_by_primitive_name(primitive_name: PrimitiveName): + """ + Returns an instance of a task based on the given primitive name. + + Args: + primitive_name (PrimitiveName): The name of the task primitive. + + Returns: + object: An instance of the corresponding task (e.g., `FdTask`, `AfdTask`). + + Raises: + AssertionError: If `primitive_name` does not match known task types. + """ + match primitive_name: + case PrimitiveName.fd: + return FdTask() + case PrimitiveName.afd: + return AfdTask() + assert_never(primitive_name) diff --git a/internal/domain/task/entities/afd/__init__.py b/internal/domain/task/entities/afd/__init__.py new file mode 100644 index 00000000..238d1719 --- /dev/null +++ b/internal/domain/task/entities/afd/__init__.py @@ -0,0 +1 @@ +from internal.domain.task.entities.afd.afd_task import AfdTask # noqa: F401 diff --git a/internal/domain/task/entities/afd/afd_task.py b/internal/domain/task/entities/afd/afd_task.py new file mode 100644 index 00000000..70f27aa8 --- /dev/null +++ b/internal/domain/task/entities/afd/afd_task.py @@ -0,0 +1,59 @@ +from desbordante.fd import FdAlgorithm # This is not a typo +from desbordante.afd.algorithms import Pyro, Tane + +from internal.domain.task.entities.task import Task +from internal.domain.task.value_objects import PrimitiveName + +from internal.domain.task.value_objects.afd import AfdTaskResult, AfdTaskConfig +from internal.domain.task.value_objects.afd import ( + AfdAlgoName, + AfdAlgoResult, + FdModel, + IncorrectAFDAlgorithmName, +) + + +class AfdTask(Task[FdAlgorithm, AfdTaskConfig, AfdTaskResult]): + """ + Task class for Approximate Functional Dependency (AFD) profiling. + + This class manages the execution of AFD algorithms and processes + the results into the appropriate format. It implements the abstract methods + defined in the Task base class. + + Methods: + - _match_algo_by_name(algo_name: AfdAlgoName) -> FdAlgorithm: + Match AFD algorithm by its name. + - _collect_result(algo: FdAlgorithm) -> AfdTaskResult: + Process the output of the AFD algorithm and return the result. + """ + + def _collect_result(self, algo: FdAlgorithm) -> AfdTaskResult: + """ + Collect and process the AFD result. + + Args: + algo (FdAlgorithm): The executed AFD algorithm. + Returns: + AfdTaskResult: The processed result containing approximate functional dependencies. + """ + fds = algo.get_fds() + algo_result = AfdAlgoResult(fds=list(map(FdModel.from_fd, fds))) + return AfdTaskResult(primitive_name=PrimitiveName.afd, result=algo_result) + + def _match_algo_by_name(self, algo_name: str) -> FdAlgorithm: + """ + Match the approximate functional dependency algorithm by name. + + Args: + algo_name (AfdAlgoName): The name of the AFD algorithm. + Returns: + FdAlgorithm: The corresponding algorithm instance. + """ + match algo_name: + case AfdAlgoName.Pyro: + return Pyro() + case AfdAlgoName.Tane: + return Tane() + case _: + raise IncorrectAFDAlgorithmName(algo_name) diff --git a/internal/domain/task/entities/fd/__init__.py b/internal/domain/task/entities/fd/__init__.py new file mode 100644 index 00000000..b0341b9d --- /dev/null +++ b/internal/domain/task/entities/fd/__init__.py @@ -0,0 +1 @@ +from internal.domain.task.entities.fd.fd_task import FdTask # noqa: F401 diff --git a/internal/domain/task/entities/fd/fd_task.py b/internal/domain/task/entities/fd/fd_task.py new file mode 100644 index 00000000..8b140c6f --- /dev/null +++ b/internal/domain/task/entities/fd/fd_task.py @@ -0,0 +1,85 @@ +from desbordante.fd import FdAlgorithm +from desbordante.fd.algorithms import ( + Aid, + DFD, + Depminer, + FDep, + FUN, + FastFDs, + FdMine, + HyFD, + Pyro, + Tane, +) + +from internal.domain.task.entities.task import Task +from internal.domain.task.value_objects import PrimitiveName +from internal.domain.task.value_objects.fd import FdTaskConfig, FdTaskResult +from internal.domain.task.value_objects.fd import ( + FdAlgoName, + FdModel, + FdAlgoResult, + IncorrectFDAlgorithmName, +) + + +class FdTask(Task[FdAlgorithm, FdTaskConfig, FdTaskResult]): + """ + Task class for Functional Dependency (FD) profiling. + + This class handles the execution of different FD algorithms and processes + the results into the appropriate format. It implements the abstract methods + defined in the Task base class. + + Methods: + - _match_algo_by_name(algo_name: FdAlgoName) -> FdAlgorithm: + Match FD algorithm by its name. + - _collect_result(algo: FdAlgorithm) -> FdTaskResult: + Process the output of the FD algorithm and return the result. + """ + + def _collect_result(self, algo: FdAlgorithm) -> FdTaskResult: + """ + Collect and process the FD result. + + Args: + algo (FdAlgorithm): FD algorithm to process. + Returns: + FdTaskResult: The processed result containing functional dependencies. + """ + fds = algo.get_fds() + algo_result = FdAlgoResult(fds=list(map(FdModel.from_fd, fds))) + return FdTaskResult(primitive_name=PrimitiveName.fd, result=algo_result) + + def _match_algo_by_name(self, algo_name: str) -> FdAlgorithm: + """ + Match the functional dependency algorithm by name. + + Args: + algo_name (FdAlgoName): The name of the FD algorithm. + Returns: + FdAlgorithm: The corresponding algorithm instance. + """ + match algo_name: + case FdAlgoName.Aid: + return Aid() + case FdAlgoName.DFD: + return DFD() + case FdAlgoName.Depminer: + return Depminer() + case FdAlgoName.FDep: + return FDep() + case FdAlgoName.FUN: + return FUN() + case FdAlgoName.FastFDs: + return FastFDs() + case FdAlgoName.FdMine: + return FdMine() + case FdAlgoName.HyFD: + return HyFD() + case FdAlgoName.Pyro: + return Pyro() + case FdAlgoName.Tane: + return Tane() + case _: + raise IncorrectFDAlgorithmName(algo_name) diff --git a/internal/domain/task/entities/task.py b/internal/domain/task/entities/task.py new file mode 100644 index 00000000..cd8b00e1 --- /dev/null +++ b/internal/domain/task/entities/task.py @@ -0,0 +1,65 @@ +from abc import ABC, abstractmethod +import desbordante +import pandas +from internal.domain.task.value_objects import TaskConfig, TaskResult + + +class Task[A: desbordante.Algorithm, C: TaskConfig, R: TaskResult](ABC): + """ + Abstract base class for data profiling tasks. + + This class defines the structure for executing algorithms and processing + their results. Specific task types, such as functional dependency tasks, + should inherit from this class and implement the necessary methods. + + Type Parameters: + - C: TaskConfig - Configuration object that defines the algorithm settings. + - R: TaskResult - Result object that will store the output of the algorithm. + + Methods: + - _match_algo_by_name(algo_name): Match the algorithm by its name. + - _collect_result(algo): Collect and process the result of the algorithm. + - execute(table: pandas.DataFrame, task_config: C): Execute the task + on a given table with the provided configuration. + """ + + @abstractmethod + def _match_algo_by_name(self, algo_name: str) -> A: + """ + Match and return the algorithm instance based on its name. + + Args: + algo_name (str): Name of the algorithm to match. + Returns: + desbordante.Algorithm: Algorithm instance. + """ + pass + + @abstractmethod + def _collect_result(self, algo: A) -> R: + """ + Collect and process the result from the executed algorithm. + + Args: + algo (desbordante.Algorithm): Algorithm instance. + Returns: + TaskResult: The task result containing the processed output. + """ + pass + + def execute(self, table: pandas.DataFrame, task_config: C) -> R: + """ + Execute the algorithm on the provided data table. + + Args: + table (pandas.DataFrame): Data to be processed. + task_config (TaskConfig): Configuration object that defines the algorithm settings. + Returns: + TaskResult: The task result containing the processed output. + """ + algo_config = task_config.config + options = algo_config.model_dump(exclude_unset=True, exclude={"algo_name"}) + algo = self._match_algo_by_name(algo_config.algo_name) + algo.load_data(table=table) + algo.execute(**options) + return self._collect_result(algo) diff --git a/internal/domain/task/value_objects/__init__.py b/internal/domain/task/value_objects/__init__.py new file mode 100644 index 00000000..eb1decfb --- /dev/null +++ b/internal/domain/task/value_objects/__init__.py @@ -0,0 +1,33 @@ +from typing import Annotated, Union +from pydantic import Field + +from internal.domain.task.value_objects.afd import AfdTaskConfig, AfdTaskResult +from internal.domain.task.value_objects.fd import FdTaskConfig, FdTaskResult + +from internal.domain.task.value_objects.config import TaskConfig # noqa: F401 +from internal.domain.task.value_objects.result import TaskResult # noqa: F401 + +from internal.domain.task.value_objects.primitive_name import ( # noqa: F401 + PrimitiveName, +) + +from internal.domain.task.value_objects.task_status import TaskStatus # noqa: F401 +from internal.domain.task.value_objects.task_failure_reason import ( # noqa: F401 + TaskFailureReason, +) + +OneOfTaskConfig = Annotated[ + Union[ + FdTaskConfig, + AfdTaskConfig, + ], + Field(discriminator="primitive_name"), +] + +OneOfTaskResult = Annotated[ + Union[ + FdTaskResult, + AfdTaskResult, + ], + Field(discriminator="primitive_name"), +] diff --git a/internal/domain/task/value_objects/afd/__init__.py b/internal/domain/task/value_objects/afd/__init__.py new file mode 100644 index 00000000..a6cc1a36 --- /dev/null +++ b/internal/domain/task/value_objects/afd/__init__.py @@ -0,0 +1,26 @@ +from typing import Literal + +from pydantic import BaseModel + +from internal.domain.task.value_objects.afd.algo_config import OneOfAfdConfig +from internal.domain.task.value_objects.afd.algo_result import ( # noqa: F401 + AfdAlgoResult, + FdModel, +) +from internal.domain.task.value_objects.afd.algo_name import AfdAlgoName # noqa: F401 +from internal.domain.task.value_objects.primitive_name import PrimitiveName +from internal.domain.task.value_objects.afd.exception import ( # noqa: F401 + IncorrectAFDAlgorithmName, +) + + +class BaseAfdTaskModel(BaseModel): + primitive_name: Literal[PrimitiveName.afd] + + +class AfdTaskConfig(BaseAfdTaskModel): + config: OneOfAfdConfig + + +class AfdTaskResult(BaseAfdTaskModel): + result: AfdAlgoResult diff --git a/app/domain/task/afd/config.py b/internal/domain/task/value_objects/afd/algo_config.py similarity index 81% rename from app/domain/task/afd/config.py rename to internal/domain/task/value_objects/afd/algo_config.py index 5ced5662..beb04c21 100644 --- a/app/domain/task/afd/config.py +++ b/internal/domain/task/value_objects/afd/algo_config.py @@ -1,8 +1,8 @@ -from typing import Annotated, Literal, Union +from typing import Literal, Annotated, Union from pydantic import Field -from app.domain.common.optional_model import OptionalModel -from app.domain.task.afd.algo_name import AfdAlgoName +from internal.domain.common import OptionalModel +from internal.domain.task.value_objects.afd.algo_name import AfdAlgoName class BaseAfdConfig(OptionalModel): diff --git a/app/domain/task/afd/algo_name.py b/internal/domain/task/value_objects/afd/algo_name.py similarity index 100% rename from app/domain/task/afd/algo_name.py rename to internal/domain/task/value_objects/afd/algo_name.py diff --git a/internal/domain/task/value_objects/afd/algo_result.py b/internal/domain/task/value_objects/afd/algo_result.py new file mode 100644 index 00000000..afc32ce0 --- /dev/null +++ b/internal/domain/task/value_objects/afd/algo_result.py @@ -0,0 +1,4 @@ +from internal.domain.task.value_objects.fd.algo_result import FdAlgoResult, FdModel + +AfdAlgoResult = FdAlgoResult +FdModel = FdModel diff --git a/internal/domain/task/value_objects/afd/exception.py b/internal/domain/task/value_objects/afd/exception.py new file mode 100644 index 00000000..4624a448 --- /dev/null +++ b/internal/domain/task/value_objects/afd/exception.py @@ -0,0 +1,3 @@ +class IncorrectAFDAlgorithmName(Exception): + def __init__(self, message: str): + super().__init__(f"{message} is incorrect afd algorithm name") diff --git a/internal/domain/task/value_objects/config.py b/internal/domain/task/value_objects/config.py new file mode 100644 index 00000000..642f3523 --- /dev/null +++ b/internal/domain/task/value_objects/config.py @@ -0,0 +1,55 @@ +from enum import StrEnum +from typing import Protocol + +from pydantic import BaseModel + + +class AlgoConfig(Protocol): + """ + Protocol for algorithm configuration. + + This protocol enforces that any implementing class must: + - Have a property `algo_name` that returns a `StrEnum`. + - Use Pydantic's `model_dump` method for serializing the model. + """ + + @property + def algo_name(self) -> StrEnum: + """ + Returns: + str: The name of the algorithm. + """ + ... + + # forces to use pydantic classes there + model_dump = BaseModel.model_dump + + +class TaskConfig(Protocol): + """ + Protocol for task configuration. + + This protocol enforces that any implementing class must: + - Have a property `primitive_name` that returns a `StrEnum` representing the task type. + - Have a property `config` that returns an `AlgoConfig`. + - Use Pydantic's `model_dump` method for serializing the model. + """ + + @property + def primitive_name(self) -> StrEnum: + """ + Returns: + str: The name of the primitive associated with the task. + """ + ... + + @property + def config(self) -> AlgoConfig: + """ + Returns: + AlgoConfig: the algorithm configuration associated with the task. + """ + ... + + # forces to use pydantic classes there + model_dump = BaseModel.model_dump diff --git a/internal/domain/task/value_objects/fd/__init__.py b/internal/domain/task/value_objects/fd/__init__.py new file mode 100644 index 00000000..8333c13a --- /dev/null +++ b/internal/domain/task/value_objects/fd/__init__.py @@ -0,0 +1,26 @@ +from typing import Literal + +from pydantic import BaseModel + +from internal.domain.task.value_objects.primitive_name import PrimitiveName +from internal.domain.task.value_objects.fd.algo_config import OneOfFdAlgoConfig +from internal.domain.task.value_objects.fd.algo_result import ( # noqa: F401 + FdAlgoResult, + FdModel, +) +from internal.domain.task.value_objects.fd.algo_name import FdAlgoName # noqa: F401 +from internal.domain.task.value_objects.fd.exception import ( # noqa: F401 + IncorrectFDAlgorithmName, +) + + +class BaseFdTaskModel(BaseModel): + primitive_name: Literal[PrimitiveName.fd] + + +class FdTaskConfig(BaseFdTaskModel): + config: OneOfFdAlgoConfig + + +class FdTaskResult(BaseFdTaskModel): + result: FdAlgoResult diff --git a/app/domain/task/fd/config.py b/internal/domain/task/value_objects/fd/algo_config.py similarity index 91% rename from app/domain/task/fd/config.py rename to internal/domain/task/value_objects/fd/algo_config.py index ab3f305d..da396473 100644 --- a/app/domain/task/fd/config.py +++ b/internal/domain/task/value_objects/fd/algo_config.py @@ -1,8 +1,9 @@ +from typing import Literal, Annotated, Union + from pydantic import Field -from typing import Annotated, Literal, Union -from app.domain.common.optional_model import OptionalModel -from app.domain.task.fd.algo_name import FdAlgoName +from internal.domain.common import OptionalModel +from internal.domain.task.value_objects.fd.algo_name import FdAlgoName class BaseFdConfig(OptionalModel): diff --git a/app/domain/task/fd/algo_name.py b/internal/domain/task/value_objects/fd/algo_name.py similarity index 100% rename from app/domain/task/fd/algo_name.py rename to internal/domain/task/value_objects/fd/algo_name.py diff --git a/app/domain/task/fd/result.py b/internal/domain/task/value_objects/fd/algo_result.py similarity index 100% rename from app/domain/task/fd/result.py rename to internal/domain/task/value_objects/fd/algo_result.py diff --git a/internal/domain/task/value_objects/fd/exception.py b/internal/domain/task/value_objects/fd/exception.py new file mode 100644 index 00000000..d7f47dc9 --- /dev/null +++ b/internal/domain/task/value_objects/fd/exception.py @@ -0,0 +1,3 @@ +class IncorrectFDAlgorithmName(Exception): + def __init__(self, message: str): + super().__init__(f"{message} is incorrect fd algorithm name") diff --git a/app/domain/task/primitive_name.py b/internal/domain/task/value_objects/primitive_name.py similarity index 100% rename from app/domain/task/primitive_name.py rename to internal/domain/task/value_objects/primitive_name.py diff --git a/internal/domain/task/value_objects/result.py b/internal/domain/task/value_objects/result.py new file mode 100644 index 00000000..abc73a54 --- /dev/null +++ b/internal/domain/task/value_objects/result.py @@ -0,0 +1,27 @@ +from enum import StrEnum +from typing import Protocol, Any +from pydantic import BaseModel + + +class TaskResult(Protocol): + """ + Protocol for task result. + + This protocol enforces that any implementing class must: + - Have a property `primitive_name` that returns a `StrEnum` representing the task type. + - Include a `result` field which can be any data type. + - Use Pydantic's `model_dump` method for serializing the result. + """ + + @property + def primitive_name(self) -> StrEnum: + """ + Returns: + str: The name of the primitive associated with the task result. + """ + ... + + result: Any + + # forces to use pydantic classes there + model_dump = BaseModel.model_dump diff --git a/internal/domain/task/value_objects/task_failure_reason.py b/internal/domain/task/value_objects/task_failure_reason.py new file mode 100644 index 00000000..a106aeb9 --- /dev/null +++ b/internal/domain/task/value_objects/task_failure_reason.py @@ -0,0 +1,8 @@ +from enum import StrEnum, auto + + +class TaskFailureReason(StrEnum): + MEMORY_LIMIT_EXCEEDED = auto() + TIME_LIMIT_EXCEEDED = auto() + WORKER_KILLED_BY_SIGNAL = auto() + OTHER = auto() diff --git a/internal/domain/task/value_objects/task_status.py b/internal/domain/task/value_objects/task_status.py new file mode 100644 index 00000000..b1f3a884 --- /dev/null +++ b/internal/domain/task/value_objects/task_status.py @@ -0,0 +1,8 @@ +from enum import StrEnum, auto + + +class TaskStatus(StrEnum): + FAILED = auto() + CREATED = auto() + RUNNING = auto() + COMPLETED = auto() diff --git a/internal/domain/user/README.md b/internal/domain/user/README.md new file mode 100644 index 00000000..15f8cbb6 --- /dev/null +++ b/internal/domain/user/README.md @@ -0,0 +1,2 @@ +## domain.user module +This module provides the foundational components for managing user entities and related functionalities within an application. It includes classes and configurations for user settings, authorization, and other user-specific features. diff --git a/internal/domain/user/__init__.py b/internal/domain/user/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/dto/README.md b/internal/dto/README.md new file mode 100644 index 00000000..27afeda8 --- /dev/null +++ b/internal/dto/README.md @@ -0,0 +1,12 @@ +## Data transfer objects +This module contains the schemas and exceptions used to transfer data from usecase application layer to another. + +### repository +The `repostory` submodule contains schemas for passing data between usecases and repositories - objects that provide an abstraction for working with data stores. + +In order to comply with some regularity, when creating new schemes in this submodule, we recommend starting the name of the scheme with a noun - describing the entity to which the scheme relates. For example: **FileCreateSchema**. + +### worker +The `worker` submodule contains circuits for passing data between usecases and the worker, an object that provides an abstraction for working with background tasks. + +In order to follow a certain pattern, when creating new schemes in this submodule, we recommend starting the name of the scheme with a verb - describing the action of the background task to which the scheme relates. For example: **ProfilingTaskCreateSchema**. diff --git a/internal/dto/__init__.py b/internal/dto/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/dto/repository/__init__.py b/internal/dto/repository/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/dto/repository/base_schema.py b/internal/dto/repository/base_schema.py new file mode 100644 index 00000000..23f803b8 --- /dev/null +++ b/internal/dto/repository/base_schema.py @@ -0,0 +1,29 @@ +import datetime + +from pydantic import BaseModel, ConfigDict + +from internal.domain.common import OptionalModel + + +class BaseSchema(BaseModel): + model_config = ConfigDict(from_attributes=True) + + +class BaseCreateSchema(BaseSchema): ... + + +class BaseFindSchema[T](BaseSchema): + id: T + + +class BaseUpdateSchema(BaseSchema, OptionalModel): + __non_optional_fields__ = { + "id", + } + + +class BaseResponseSchema[T](BaseSchema): + id: T + + created_at: datetime.datetime | None = None + updated_at: datetime.datetime | None = None diff --git a/internal/dto/repository/exception.py b/internal/dto/repository/exception.py new file mode 100644 index 00000000..53277077 --- /dev/null +++ b/internal/dto/repository/exception.py @@ -0,0 +1,12 @@ +class ModelNotFoundException(Exception): + """ + Exception raised when a storage model is not found in some data storage. + + This exception may be thrown only by the repository. + """ + + def __init__(self, message: str): + """ + Initializes an instance of ModelNotFoundException with a default message. + """ + super().__init__(message) diff --git a/internal/dto/repository/file/__init__.py b/internal/dto/repository/file/__init__.py new file mode 100644 index 00000000..749878b9 --- /dev/null +++ b/internal/dto/repository/file/__init__.py @@ -0,0 +1,25 @@ +from internal.dto.repository.file.file import ( # noqa: F401 + File, + FileFindSchema, + FileCreateSchema, + FileUpdateSchema, + FailedFileReadingException, +) +from internal.dto.repository.file.file_metadata import ( # noqa: F401 + FileMetadataResponseSchema, + FileMetadataCreateSchema, + FileMetadataFindSchema, + FileMetadataUpdateSchema, + FileMetadataNotFoundException, +) +from internal.dto.repository.file.dataset import ( # noqa: F401 + DatasetResponseSchema, + DatasetCreateSchema, + DatasetUpdateSchema, + DatasetFindSchema, + DatasetNotFoundException, +) +from internal.dto.repository.file.file import ( # noqa: F401 + CSVFileFindSchema, + CSVFileResponseSchema, +) diff --git a/internal/dto/repository/file/dataset.py b/internal/dto/repository/file/dataset.py new file mode 100644 index 00000000..a3bcab1a --- /dev/null +++ b/internal/dto/repository/file/dataset.py @@ -0,0 +1,42 @@ +from uuid import UUID + +from internal.dto.repository.base_schema import ( + BaseSchema, + BaseCreateSchema, + BaseUpdateSchema, + BaseResponseSchema, + BaseFindSchema, +) + + +class DatasetBaseSchema(BaseSchema): + file_id: UUID + separator: str + header: list[int] + is_built_in: bool = False + + +class DatasetCreateSchema(DatasetBaseSchema, BaseCreateSchema): ... + + +class DatasetUpdateSchema(DatasetBaseSchema, BaseUpdateSchema): ... + + +class DatasetFindSchema(BaseFindSchema[UUID]): ... + + +class DatasetResponseSchema(DatasetBaseSchema, BaseResponseSchema[UUID]): ... + + +class DatasetNotFoundException(Exception): + """ + Exception raised when a dataset is not found in some data storage. + + This exception may be thrown only by the repository. + """ + + def __init__(self): + """ + Initializes an instance of DatasetNotFoundException with a default message. + """ + super().__init__("Dataset not found") diff --git a/internal/dto/repository/file/file.py b/internal/dto/repository/file/file.py new file mode 100644 index 00000000..e8cfebcb --- /dev/null +++ b/internal/dto/repository/file/file.py @@ -0,0 +1,56 @@ +from typing import Protocol +from uuid import UUID + +import pandas as pd + +from internal.dto.repository.base_schema import ( + BaseCreateSchema, + BaseUpdateSchema, + BaseSchema, +) + + +class File(Protocol): + filename: str + content_type: str + + async def read(self, chunk_size: int) -> bytes: ... + + +class FileBaseSchema(BaseSchema): + file_name: UUID + + +class FileCreateSchema(FileBaseSchema, BaseCreateSchema): ... + + +class FileUpdateSchema(FileBaseSchema, BaseUpdateSchema): ... + + +class FileFindSchema(FileBaseSchema, BaseSchema): ... # it's not a typo + + +class CSVFileFindSchema(FileFindSchema): + separator: str + header: list[int] + + +CSVFileResponseSchema = pd.DataFrame + + +class FailedFileReadingException(Exception): + """ + Exception raised when file reading fails. + + This exception can be used to provide specific error messages + related to file reading operations in repository. + """ + + def __init__(self, message: str): + """ + Initializes an instance of FailedFileReadingException with a specific error message. + + Args: + message(str): The error message to be reported. + """ + super().__init__(message) diff --git a/internal/dto/repository/file/file_metadata.py b/internal/dto/repository/file/file_metadata.py new file mode 100644 index 00000000..3017d02d --- /dev/null +++ b/internal/dto/repository/file/file_metadata.py @@ -0,0 +1,41 @@ +from uuid import UUID + +from internal.dto.repository.base_schema import ( + BaseSchema, + BaseCreateSchema, + BaseUpdateSchema, + BaseResponseSchema, + BaseFindSchema, +) + + +class FileMetadataBaseSchema(BaseSchema): + file_name: UUID + original_file_name: str + mime_type: str + + +class FileMetadataCreateSchema(FileMetadataBaseSchema, BaseCreateSchema): ... + + +class FileMetadataUpdateSchema(FileMetadataBaseSchema, BaseUpdateSchema): ... + + +class FileMetadataFindSchema(BaseFindSchema[UUID]): ... + + +class FileMetadataResponseSchema(FileMetadataBaseSchema, BaseResponseSchema[UUID]): ... + + +class FileMetadataNotFoundException(Exception): + """ + Exception raised when a file metadata is not found in some data storage. + + This exception may be thrown only by the repository. + """ + + def __init__(self): + """ + Initializes an instance of FileMetadataNotFoundException with a default message. + """ + super().__init__("File metadata not found") diff --git a/internal/dto/repository/task/__init__.py b/internal/dto/repository/task/__init__.py new file mode 100644 index 00000000..4b68e30b --- /dev/null +++ b/internal/dto/repository/task/__init__.py @@ -0,0 +1,6 @@ +from internal.dto.repository.task.task import ( # noqa: F401 + TaskCreateSchema, + TaskUpdateSchema, + TaskFindSchema, + TaskResponseSchema, +) diff --git a/internal/dto/repository/task/task.py b/internal/dto/repository/task/task.py new file mode 100644 index 00000000..56cf79c9 --- /dev/null +++ b/internal/dto/repository/task/task.py @@ -0,0 +1,57 @@ +from uuid import UUID + +from internal.domain.task.value_objects import ( + TaskStatus, + OneOfTaskConfig, + OneOfTaskResult, + TaskFailureReason, +) +from internal.dto.repository.base_schema import ( + BaseSchema, + BaseCreateSchema, + BaseUpdateSchema, + BaseResponseSchema, + BaseFindSchema, +) + + +class TaskBaseSchema(BaseSchema): + config: OneOfTaskConfig + dataset_id: UUID + + +class TaskCreateSchema(TaskBaseSchema, BaseCreateSchema): + status: TaskStatus + + +class TaskUpdateSchema(TaskBaseSchema, BaseUpdateSchema): + status: TaskStatus | None + result: OneOfTaskResult | None + raised_exception_name: str | None + failure_reason: TaskFailureReason | None + traceback: str | None + + +class TaskFindSchema(BaseFindSchema[UUID]): ... + + +class TaskResponseSchema(TaskBaseSchema, BaseResponseSchema[UUID]): + status: TaskStatus + result: OneOfTaskResult | None = None + raised_exception_name: str | None = None + failure_reason: TaskFailureReason | None = None + traceback: str | None = None + + +class TaskNotFoundException(Exception): + """ + Exception raised when a task is not found in some data storage. + + This exception may be thrown only by the repository. + """ + + def __init__(self): + """ + Initializes an instance of TaskNotFoundException with a default message. + """ + super().__init__("Task not found") diff --git a/internal/dto/worker/__init__.py b/internal/dto/worker/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/dto/worker/task/__init__.py b/internal/dto/worker/task/__init__.py new file mode 100644 index 00000000..d6ad75d9 --- /dev/null +++ b/internal/dto/worker/task/__init__.py @@ -0,0 +1,3 @@ +from internal.dto.worker.task.profiling_task import ( # noqa: F401 + ProfilingTaskCreateSchema, +) diff --git a/internal/dto/worker/task/profiling_task.py b/internal/dto/worker/task/profiling_task.py new file mode 100644 index 00000000..ced8a77d --- /dev/null +++ b/internal/dto/worker/task/profiling_task.py @@ -0,0 +1,13 @@ +from uuid import UUID +from pydantic import BaseModel + +from internal.domain.task.value_objects import OneOfTaskConfig + + +class ProfilingTaskBaseSchema(BaseModel): + task_id: UUID + dataset_id: UUID + config: OneOfTaskConfig + + +class ProfilingTaskCreateSchema(ProfilingTaskBaseSchema): ... diff --git a/internal/infrastructure/README.md b/internal/infrastructure/README.md new file mode 100644 index 00000000..b9e610f8 --- /dev/null +++ b/internal/infrastructure/README.md @@ -0,0 +1,7 @@ +# infrastructure module +This module implements an infrastructure layer from a pure architecture. + +## submodules +`background_task` - implementation of tasks execution in the background. Provides functionality for specific worker implementations. + +`data_storage` - provides various tools and functions for managing data stores and transactions in them - settings, connections, contexts, migrations, etc. diff --git a/internal/infrastructure/__init__.py b/internal/infrastructure/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/infrastructure/background_task/__init__.py b/internal/infrastructure/background_task/__init__.py new file mode 100644 index 00000000..7245d6a0 --- /dev/null +++ b/internal/infrastructure/background_task/__init__.py @@ -0,0 +1,3 @@ +from internal.infrastructure.background_task.settings import get_settings + +settings = get_settings() diff --git a/internal/infrastructure/background_task/celery/__init__.py b/internal/infrastructure/background_task/celery/__init__.py new file mode 100644 index 00000000..a8a9e0f1 --- /dev/null +++ b/internal/infrastructure/background_task/celery/__init__.py @@ -0,0 +1,11 @@ +from celery import Celery + +from internal.infrastructure.data_storage import settings + +worker = Celery( + __name__, + broker=settings.rabbitmq_dsn.unicode_string(), + include=["internal.infrastructure.background_task.celery.task"], +) + +worker.config_from_object("internal.infrastructure.background_task.celery.config") diff --git a/app/settings/celery_config.py b/internal/infrastructure/background_task/celery/config.py similarity index 100% rename from app/settings/celery_config.py rename to internal/infrastructure/background_task/celery/config.py diff --git a/internal/infrastructure/background_task/celery/task/__init__.py b/internal/infrastructure/background_task/celery/task/__init__.py new file mode 100644 index 00000000..55ba9e76 --- /dev/null +++ b/internal/infrastructure/background_task/celery/task/__init__.py @@ -0,0 +1,3 @@ +from internal.infrastructure.background_task.celery.task.profiling_task import ( # noqa: F401 + profiling_task, +) diff --git a/internal/infrastructure/background_task/celery/task/di.py b/internal/infrastructure/background_task/celery/task/di.py new file mode 100644 index 00000000..10f17769 --- /dev/null +++ b/internal/infrastructure/background_task/celery/task/di.py @@ -0,0 +1,46 @@ +from internal.infrastructure.data_storage.context import get_context_maker_without_pool +from internal.repository.flat import FileRepository +from internal.repository.relational.file import DatasetRepository +from internal.repository.relational.task import TaskRepository +from internal.uow import UnitOfWork +from internal.usecase.task.profile_task import ProfileTask +from internal.usecase.task.update_task_info import UpdateTaskInfo + + +def get_file_repo() -> FileRepository: + return FileRepository() + + +def get_dataset_repo() -> DatasetRepository: + return DatasetRepository() + + +def get_task_repo() -> TaskRepository: + return TaskRepository() + + +def get_unit_of_work_without_pool() -> UnitOfWork: + context_maker_without_pool = get_context_maker_without_pool() + return UnitOfWork(context_maker_without_pool) + + +def get_update_task_info_use_case(): + unit_of_work = get_unit_of_work_without_pool() + task_repo = get_task_repo() + + return UpdateTaskInfo( + unit_of_work=unit_of_work, + task_repo=task_repo, # type: ignore + ) + + +def get_profile_task_use_case(): + unit_of_work = get_unit_of_work_without_pool() + file_repo = get_file_repo() + dataset_repo = get_dataset_repo() + + return ProfileTask( + unit_of_work=unit_of_work, + file_repo=file_repo, # type: ignore + dataset_repo=dataset_repo, # type: ignore + ) diff --git a/internal/infrastructure/background_task/celery/task/profiling_task.py b/internal/infrastructure/background_task/celery/task/profiling_task.py new file mode 100644 index 00000000..adf5adf3 --- /dev/null +++ b/internal/infrastructure/background_task/celery/task/profiling_task.py @@ -0,0 +1,93 @@ +from typing import Any +from uuid import UUID + +import traceback as tb + +from celery.signals import task_failure, task_prerun, task_postrun +from celery.exceptions import SoftTimeLimitExceeded, TimeLimitExceeded, WorkerLostError + +from internal.domain.task.value_objects import ( + OneOfTaskConfig, + TaskStatus, + OneOfTaskResult, + TaskFailureReason, +) +from internal.infrastructure.background_task.celery import worker +from internal.infrastructure.background_task.celery.task.di import ( + get_profile_task_use_case, + get_update_task_info_use_case, +) +from internal.infrastructure.background_task.celery.task.resource_intensive_task import ( + ResourceIntensiveTask, +) + + +@worker.task(base=ResourceIntensiveTask, ignore_result=True, max_retries=0) +def profiling_task( + task_id: UUID, + dataset_id: UUID, + config: OneOfTaskConfig, +) -> Any: + profile_task = get_profile_task_use_case() + + result = profile_task(dataset_id=dataset_id, config=config) + return result + + +@task_prerun.connect(sender=profiling_task) +def task_prerun_notifier( + kwargs, + **_, +) -> None: + update_task_info = get_update_task_info_use_case() + db_task_id: UUID = kwargs["task_id"] + + update_task_info(task_id=db_task_id, task_status=TaskStatus.RUNNING) + + +@task_postrun.connect(sender=profiling_task) +def task_postrun_notifier( + kwargs, + retval: OneOfTaskResult, + **_, +): + update_task_info = get_update_task_info_use_case() + db_task_id: UUID = kwargs["task_id"] + + update_task_info( + task_id=db_task_id, + task_status=TaskStatus.COMPLETED, + result=retval, + ) + + +@task_failure.connect(sender=profiling_task) +def task_failure_notifier( + kwargs, + exception: Exception, + traceback, + **_, +): + # TODO: test all possible exceptions + task_failure_reason = TaskFailureReason.OTHER + if isinstance(exception, (TimeLimitExceeded, SoftTimeLimitExceeded)): + task_failure_reason = TaskFailureReason.TIME_LIMIT_EXCEEDED + if isinstance(exception, MemoryError): + task_failure_reason = TaskFailureReason.MEMORY_LIMIT_EXCEEDED + if isinstance(exception, WorkerLostError): + task_failure_reason = TaskFailureReason.WORKER_KILLED_BY_SIGNAL + + formatted_traceback = "".join( + tb.format_exception(type(exception), exception, exception.__traceback__) + ) + + update_task_info = get_update_task_info_use_case() + db_task_id: UUID = kwargs["task_id"] + + update_task_info( + task_id=db_task_id, + task_status=TaskStatus.FAILED, + raised_exception_name=exception.__class__.__name__, + failure_reason=task_failure_reason, + traceback=formatted_traceback, + ) diff --git a/app/domain/worker/task/resource_intensive_task.py b/internal/infrastructure/background_task/celery/task/resource_intensive_task.py similarity index 91% rename from app/domain/worker/task/resource_intensive_task.py rename to internal/infrastructure/background_task/celery/task/resource_intensive_task.py index fe938175..d1d22a30 100644 --- a/app/domain/worker/task/resource_intensive_task.py +++ b/internal/infrastructure/background_task/celery/task/resource_intensive_task.py @@ -1,6 +1,7 @@ from celery import Task import resource -from app.settings import settings + +from internal.infrastructure.background_task import settings class ResourceIntensiveTask(Task): diff --git a/internal/infrastructure/background_task/settings.py b/internal/infrastructure/background_task/settings.py new file mode 100644 index 00000000..3aab5e73 --- /dev/null +++ b/internal/infrastructure/background_task/settings.py @@ -0,0 +1,18 @@ +from dotenv import load_dotenv, find_dotenv +from pydantic import Field, ByteSize +from pydantic_settings import BaseSettings + +load_dotenv(find_dotenv(".env")) + + +class Settings(BaseSettings): + # Celery worker limits + worker_soft_time_limit_in_seconds: int = Field(default=60, gt=0) + worker_hard_time_limit_in_seconds: int = Field(default=120, gt=0) + worker_soft_memory_limit: ByteSize = Field(default=2 * 1024 * 1024 * 1024) # 2GB + worker_hard_memory_limit: ByteSize = Field(default=4 * 1024 * 1024 * 1024) # 4GB + + +def get_settings(): + # TODO: create different settings based on environment (production, testing, etc.) + return Settings() diff --git a/internal/infrastructure/data_storage/README.md b/internal/infrastructure/data_storage/README.md new file mode 100644 index 00000000..8f502773 --- /dev/null +++ b/internal/infrastructure/data_storage/README.md @@ -0,0 +1,21 @@ +# data_storage module +This module is responsible for managing the configuration and settings related to data storage in the application. It serves as a central place for handling all database-related configurations and ensures that the rest of the application can access these configurations seamlessly. + +## Structure +### settings +`settings.py` contains all the settings for working with the data store. Through them you can get the URL to connect to the database, file paths, and so on. + +### context +This module(`data_storage`) and all its submodules that represent some kind of storage must contain an implementation of the context - a “bridge” between the repositories and the data storage system. The context accumulates data within itself and provides transactions + +`context.py` contains a unique context that encapsulates the logic of all other contexts. + +### relational +The `flat` module contains the logic for interacting with local file storages. [Read more.](flat/README.md) + +### relational +The `relational` module contains the logic for interacting with relational databases using SQLAlchemy. [Read more.](relational/README.md) + +## Extensibility +If you need to add a new database or other data storage, simply create the appropriate module with the implementation in this module, and also write all the necessary settings in `settings.py`. +You should also implement a context for your repository and extend a unique context for it. diff --git a/internal/infrastructure/data_storage/__init__.py b/internal/infrastructure/data_storage/__init__.py new file mode 100644 index 00000000..999cb494 --- /dev/null +++ b/internal/infrastructure/data_storage/__init__.py @@ -0,0 +1,12 @@ +from internal.infrastructure.data_storage.settings import get_settings + +settings = get_settings() + +from internal.infrastructure.data_storage.context import ( # noqa: F401, E402 + Context, + ContextMaker, + get_context, + get_context_without_pool, + get_context_maker, + get_context_maker_without_pool, +) diff --git a/internal/infrastructure/data_storage/context.py b/internal/infrastructure/data_storage/context.py new file mode 100644 index 00000000..83b5878f --- /dev/null +++ b/internal/infrastructure/data_storage/context.py @@ -0,0 +1,122 @@ +from typing import Any + +from sqlalchemy.orm import sessionmaker, Session + +from internal.infrastructure.data_storage.flat import ( + FlatContext, + get_flat_context_maker, + FlatContextMaker, +) +from internal.infrastructure.data_storage.relational.postgres import ( + get_postgres_context_maker, + get_postgres_context_maker_without_pool, +) +from internal.infrastructure.data_storage.flat import ( + FlatAddModel, + FlatDeleteModel, +) +from internal.infrastructure.data_storage.relational import ( + RelationalAddModel, + RelationalDeleteModel, + RelationalContextType, +) + + +class Context: + def __init__( + self, postgres_context: RelationalContextType, flat_context: FlatContext + ): + self._postgres_context = postgres_context + self._flat_context = flat_context + + @property + def flat_context(self): + return self._flat_context + + @property + def postgres_context(self): + return self._postgres_context + + def commit(self): + self._postgres_context.commit() + self._flat_context.commit() + + def rollback(self): + self._postgres_context.rollback() + self._flat_context.rollback() + + def close(self): + self._postgres_context.close() + self._flat_context.close() + + def flush(self): + self._postgres_context.flush() + self._flat_context.flush() + + async def async_flush(self): + self._postgres_context.flush() # async calling not supported + await self._flat_context.async_flush() + + def add(self, model: RelationalAddModel | FlatAddModel): + if isinstance(model, RelationalAddModel): + self._postgres_context.add(model) + if isinstance(model, FlatAddModel): + self._flat_context.add(model) + + def delete(self, model: RelationalDeleteModel | FlatDeleteModel): + if isinstance(model, RelationalDeleteModel): + self._postgres_context.delete(model) + if isinstance(model, FlatDeleteModel): + self._flat_context.delete(model) + + def execute(self, *args) -> Any: + # Only for relational storages. + return self._postgres_context.execute(*args) + + +class ContextMaker: + def __init__( + self, + *, + use_pool: bool = True, + postgres_context_maker: sessionmaker[Session] | None = None, + flat_context_maker: FlatContextMaker | None = None, + ): + if use_pool: + self._postgres_context_maker = ( + postgres_context_maker + if postgres_context_maker + else get_postgres_context_maker() + ) + else: + self._postgres_context_maker = ( + postgres_context_maker + if postgres_context_maker + else get_postgres_context_maker_without_pool() + ) + self._flat_context_maker = ( + flat_context_maker if flat_context_maker else get_flat_context_maker() + ) + + def __call__(self) -> Context: + postgres_context = self._postgres_context_maker() + flat_context = self._flat_context_maker() + return Context(postgres_context, flat_context) + + +def get_context_maker(): + return ContextMaker() + + +def get_context_maker_without_pool(): + return ContextMaker(use_pool=False) + + +def get_context(): + maker = get_context_maker() + return maker() + + +def get_context_without_pool(): + maker = get_context_maker_without_pool() + return maker() diff --git a/internal/infrastructure/data_storage/flat/__init__.py b/internal/infrastructure/data_storage/flat/__init__.py new file mode 100644 index 00000000..e8a8da3a --- /dev/null +++ b/internal/infrastructure/data_storage/flat/__init__.py @@ -0,0 +1,8 @@ +from internal.infrastructure.data_storage.flat.context import ( # noqa: F401 + FlatContextMaker, + FlatContext, + get_flat_context, + get_flat_context_maker, + FlatAddModel, + FlatDeleteModel, +) diff --git a/internal/infrastructure/data_storage/flat/context.py b/internal/infrastructure/data_storage/flat/context.py new file mode 100644 index 00000000..f2b484fb --- /dev/null +++ b/internal/infrastructure/data_storage/flat/context.py @@ -0,0 +1,105 @@ +import os +from pathlib import Path + +import aiofiles + +from pydantic import BaseModel + +from internal.dto.repository.file import File +from internal.infrastructure.data_storage import settings + + +CHUNK_SIZE = 1024 + + +class FlatAddModel: + def __init__(self, file: File, file_name: str): + self.file_name = file_name + self.file = file + + +class FlatDeleteModel(BaseModel): + file_name: str + + +class FlatContext: + def __init__(self, upload_directory_path: Path): + self._upload_directory_path = upload_directory_path + self._is_closed = True + self._to_add: list[FlatAddModel] = [] + self._added: list[Path] = [] + + @property + def upload_directory_path(self) -> Path: + return self._upload_directory_path + + async def async_flush(self) -> None: + for file_model in self._to_add: + path_to_file = Path.joinpath( + self.upload_directory_path, str(file_model.file_name) + ) + async with aiofiles.open(path_to_file, "wb") as out_file: + while content := await file_model.file.read(CHUNK_SIZE): + await out_file.write(content) + self._added.append(path_to_file) + self._to_add.remove(file_model) + + def flush(self) -> None: + for file_model in self._to_add: + path_to_file = Path.joinpath( + self.upload_directory_path, str(file_model.file_name) + ) + with open(path_to_file, "wb") as out_file: + while content := file_model.file.read(CHUNK_SIZE): + out_file.write(content) # type: ignore + self._added.append(path_to_file) + self._to_add.remove(file_model) + + def rollback(self) -> None: + for file_path in self._added: + if file_path.exists(): + os.remove(file_path) + self._added.clear() + self._to_add.clear() + + def commit(self) -> None: + if self._to_add: + self.flush() + self._added.clear() + + def close(self) -> None: + if self._added: + self.rollback() + self._is_closed = True + + def add(self, file_model: FlatAddModel) -> None: + self._to_add.append(file_model) + + def delete( + self, file_model: FlatDeleteModel + ) -> None: ... # TODO: implement, when needed + + +class FlatContextMaker: + def __init__( + self, *, uploaded_files_dir_path: Path = settings.uploaded_files_dir_path + ): + self.uploaded_files_dir_path = uploaded_files_dir_path + + def __call__(self): + return FlatContext(self.uploaded_files_dir_path) + + +def get_flat_context_maker( + *, uploaded_files_dir_path: Path | None = None +) -> FlatContextMaker: + flat_context_maker = ( + FlatContextMaker(uploaded_files_dir_path=uploaded_files_dir_path) + if uploaded_files_dir_path + else FlatContextMaker() + ) + return flat_context_maker + + +def get_flat_context() -> FlatContext: + return get_flat_context_maker()() diff --git a/internal/infrastructure/data_storage/relational/README.md b/internal/infrastructure/data_storage/relational/README.md new file mode 100644 index 00000000..28c41adb --- /dev/null +++ b/internal/infrastructure/data_storage/relational/README.md @@ -0,0 +1,9 @@ +# relational module +The relational module contains the tools for interacting with relational databases using SQLAlchemy. It is designed to be modular, allowing for easy extension to different database systems. Currently, the focus is on the PostgreSQL database, but this can be extended to other systems if needed. +## Structure +`model` - this submodule defines the database models used by the application. These models are mapped to relational database tables using SQLAlchemy ORM. + +`postgres` - this submodule contains tools for working with postgres, such as session provided by SQLAlchemy, migrations provided by alembic, and so on. + +## Extensibility +The `relational` module is designed to support different **relational** databases(supported by SQLAlchemy). If you need to integrate with a different database system, you can create a new submodule within relational (e.g., `MySQL` or `SQLite`) and implement the necessary logic for that database while maintaining the same structure as the Postgres submodule. diff --git a/internal/infrastructure/data_storage/relational/__init__.py b/internal/infrastructure/data_storage/relational/__init__.py new file mode 100644 index 00000000..529c2820 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/__init__.py @@ -0,0 +1,6 @@ +from internal.infrastructure.data_storage.relational.context import ( # noqa: F401 + RelationalContextType, + RelationalContextMakerType, + RelationalAddModel, + RelationalDeleteModel, +) diff --git a/internal/infrastructure/data_storage/relational/context.py b/internal/infrastructure/data_storage/relational/context.py new file mode 100644 index 00000000..fecb70a3 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/context.py @@ -0,0 +1,7 @@ +from sqlalchemy.orm import Session, sessionmaker, DeclarativeBase + +type RelationalContextType = Session +type RelationalContextMakerType = sessionmaker + +RelationalAddModel = DeclarativeBase +RelationalDeleteModel = DeclarativeBase diff --git a/internal/infrastructure/data_storage/relational/model/__init__.py b/internal/infrastructure/data_storage/relational/model/__init__.py new file mode 100644 index 00000000..9cdbc4e1 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/model/__init__.py @@ -0,0 +1,3 @@ +from internal.infrastructure.data_storage.relational.model.orm_base_model import ( # noqa: F401 + ORMBaseModel, +) diff --git a/internal/infrastructure/data_storage/relational/model/file/__init__.py b/internal/infrastructure/data_storage/relational/model/file/__init__.py new file mode 100644 index 00000000..549f4598 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/model/file/__init__.py @@ -0,0 +1,6 @@ +from internal.infrastructure.data_storage.relational.model.file.file_metadata import ( # noqa: F401 + FileMetadataORM, +) +from internal.infrastructure.data_storage.relational.model.file.dataset import ( # noqa: F401 + DatasetORM, +) diff --git a/internal/infrastructure/data_storage/relational/model/file/dataset.py b/internal/infrastructure/data_storage/relational/model/file/dataset.py new file mode 100644 index 00000000..88451565 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/model/file/dataset.py @@ -0,0 +1,32 @@ +import typing +from uuid import uuid4, UUID + +from sqlalchemy import ForeignKey, Integer, ARRAY +from sqlalchemy.orm import mapped_column, Mapped, relationship + +from internal.infrastructure.data_storage.relational.model import ORMBaseModel +from internal.infrastructure.data_storage.relational.model.file.file_metadata import ( + FileMetadataORM, +) + +if typing.TYPE_CHECKING: + from internal.infrastructure.data_storage.relational.model.task import TaskORM + + +class DatasetORM(ORMBaseModel): + __tablename__ = "dataset" + id: Mapped[UUID] = mapped_column(primary_key=True, default=uuid4) + + is_built_in: Mapped[bool] = mapped_column(default=False) + header: Mapped[list[int]] = mapped_column(ARRAY(Integer), default=[]) + separator: Mapped[str] + file_id: Mapped[UUID] = mapped_column( + ForeignKey("file_metadata.id"), nullable=False + ) + file_metadata: Mapped[FileMetadataORM] = relationship("FileMetadataORM") + + related_tasks: Mapped[list["TaskORM"]] = relationship( + "TaskORM", back_populates="dataset" + ) + + # owner = relationship("UserORM") diff --git a/app/domain/file/file.py b/internal/infrastructure/data_storage/relational/model/file/file_metadata.py similarity index 56% rename from app/domain/file/file.py rename to internal/infrastructure/data_storage/relational/model/file/file_metadata.py index 60b946d1..37a0e2c4 100644 --- a/app/domain/file/file.py +++ b/internal/infrastructure/data_storage/relational/model/file/file_metadata.py @@ -1,15 +1,15 @@ from pathlib import Path from uuid import UUID, uuid4 -from sqlalchemy.orm import Mapped, mapped_column -from app.db import ORMBase -from app.db.session import ORMBaseModel + from sqlalchemy.ext.hybrid import hybrid_property +from sqlalchemy.orm import mapped_column, Mapped -from app.settings import settings +from internal.infrastructure.data_storage import settings +from internal.infrastructure.data_storage.relational.model import ORMBaseModel -class FileORM(ORMBase): - __tablename__ = "file" +class FileMetadataORM(ORMBaseModel): + __tablename__ = "file_metadata" id: Mapped[UUID] = mapped_column(primary_key=True, default=uuid4) mime_type: Mapped[str] @@ -19,11 +19,3 @@ class FileORM(ORMBase): @hybrid_property def path_to_file(self) -> Path: return Path(settings.uploaded_files_dir_path, str(self.file_name)) - - -class FileModel(ORMBaseModel): - id: UUID - - mime_type: str - file_name: UUID - original_file_name: str diff --git a/internal/infrastructure/data_storage/relational/model/orm_base_model.py b/internal/infrastructure/data_storage/relational/model/orm_base_model.py new file mode 100644 index 00000000..03c771b9 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/model/orm_base_model.py @@ -0,0 +1,18 @@ +from datetime import datetime + +from sqlalchemy import TIMESTAMP, text +from sqlalchemy.orm import DeclarativeBase, mapped_column, Mapped + + +class ORMBaseModel(DeclarativeBase): + __abstract__ = True + + created_at: Mapped[datetime] = mapped_column( + TIMESTAMP(timezone=True), nullable=False, server_default=text("now()") + ) + updated_at: Mapped[datetime] = mapped_column( + TIMESTAMP(timezone=True), + nullable=False, + server_default=text("now()"), + onupdate=text("now()"), + ) diff --git a/internal/infrastructure/data_storage/relational/model/task/__init__.py b/internal/infrastructure/data_storage/relational/model/task/__init__.py new file mode 100644 index 00000000..85377667 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/model/task/__init__.py @@ -0,0 +1,3 @@ +from internal.infrastructure.data_storage.relational.model.task.task import ( # noqa: F401 + TaskORM, +) diff --git a/internal/infrastructure/data_storage/relational/model/task/task.py b/internal/infrastructure/data_storage/relational/model/task/task.py new file mode 100644 index 00000000..652e8469 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/model/task/task.py @@ -0,0 +1,36 @@ +import typing +from uuid import UUID, uuid4 + +from sqlalchemy import ForeignKey +from sqlalchemy.orm import mapped_column, Mapped, relationship +from sqlalchemy.dialects.postgresql import JSONB + +from internal.domain.task.value_objects import ( + TaskStatus, + OneOfTaskConfig, + OneOfTaskResult, + TaskFailureReason, +) +from internal.infrastructure.data_storage.relational.model import ORMBaseModel + +if typing.TYPE_CHECKING: + from internal.infrastructure.data_storage.relational.model.file import DatasetORM + + +class TaskORM(ORMBaseModel): + __tablename__ = "task" + id: Mapped[UUID] = mapped_column(primary_key=True, default=uuid4) + + status: Mapped[TaskStatus] + config: Mapped[OneOfTaskConfig] = mapped_column(JSONB) + result: Mapped[OneOfTaskResult | None] = mapped_column(JSONB, default=None) + + dataset_id: Mapped[UUID] = mapped_column(ForeignKey("dataset.id"), nullable=False) + dataset: Mapped["DatasetORM"] = relationship( + "DatasetORM", back_populates="related_tasks" + ) + + # Only if task failed + raised_exception_name: Mapped[str | None] = mapped_column(default=None) + failure_reason: Mapped[TaskFailureReason | None] = mapped_column(default=None) + traceback: Mapped[str | None] = mapped_column(default=None) diff --git a/internal/infrastructure/data_storage/relational/model/user/__init__.py b/internal/infrastructure/data_storage/relational/model/user/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/infrastructure/data_storage/relational/postgres/__init__.py b/internal/infrastructure/data_storage/relational/postgres/__init__.py new file mode 100644 index 00000000..b12ed1a5 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/postgres/__init__.py @@ -0,0 +1,6 @@ +from internal.infrastructure.data_storage.relational.postgres.context import ( # noqa: F401 + get_postgres_context_maker, + get_postgres_context_maker_without_pool, + get_postgres_context, + get_postgres_context_without_pool, +) diff --git a/internal/infrastructure/data_storage/relational/postgres/context.py b/internal/infrastructure/data_storage/relational/postgres/context.py new file mode 100644 index 00000000..142d8351 --- /dev/null +++ b/internal/infrastructure/data_storage/relational/postgres/context.py @@ -0,0 +1,31 @@ +from sqlalchemy import create_engine, NullPool +from sqlalchemy.orm import sessionmaker, Session + +from internal.infrastructure.data_storage import settings + +default_engine = create_engine(url=settings.postgres_dsn.unicode_string()) +engine_without_pool = create_engine( + url=settings.postgres_dsn.unicode_string(), + poolclass=NullPool, +) + +type PostgresContextType = Session +type PostgresContextMakerType = sessionmaker[Session] +PostgresContextMaker = sessionmaker(bind=default_engine) +PostgresContextMakerWithoutPool = sessionmaker(bind=engine_without_pool) + + +def get_postgres_context() -> PostgresContextType: + return PostgresContextMaker() + + +def get_postgres_context_without_pool() -> PostgresContextType: + return PostgresContextMakerWithoutPool() + + +def get_postgres_context_maker() -> PostgresContextMakerType: + return PostgresContextMaker + + +def get_postgres_context_maker_without_pool() -> PostgresContextMakerType: + return PostgresContextMakerWithoutPool diff --git a/internal/infrastructure/data_storage/relational/postgres/migrations/README b/internal/infrastructure/data_storage/relational/postgres/migrations/README new file mode 100644 index 00000000..2500aa1b --- /dev/null +++ b/internal/infrastructure/data_storage/relational/postgres/migrations/README @@ -0,0 +1 @@ +Generic single-database configuration. diff --git a/app/settings/alembic.ini b/internal/infrastructure/data_storage/relational/postgres/migrations/alembic.ini similarity index 86% rename from app/settings/alembic.ini rename to internal/infrastructure/data_storage/relational/postgres/migrations/alembic.ini index 53d097fd..e7dd38ba 100644 --- a/app/settings/alembic.ini +++ b/internal/infrastructure/data_storage/relational/postgres/migrations/alembic.ini @@ -2,7 +2,7 @@ [alembic] # path to migration scripts -script_location = app/db/migrations +script_location = internal/infrastructure/data_storage/relational/postgres/migrations # template used to generate migration file names; The default value is %%(rev)s_%%(slug)s # Uncomment the line below if you want the files to be prepended with date and time @@ -16,9 +16,9 @@ prepend_sys_path = . # timezone to use when rendering the date within the migration file # as well as the filename. -# If specified, requires the python-dateutil library that can be -# installed by adding `alembic[tz]` to the pip requirements -# string value is passed to dateutil.tz.gettz() +# If specified, requires the python>=3.9 or backports.zoneinfo library. +# Any required deps can installed by adding `alembic[tz]` to the pip requirements +# string value is passed to ZoneInfo() # leave blank for localtime # timezone = @@ -36,10 +36,10 @@ prepend_sys_path = . # sourceless = false # version location specification; This defaults -# to migrations/versions. When using multiple version +# to internal/infrastructure_/data_storage/relational/postgres/migration/versions. When using multiple version # directories, initial revisions must be specified with --version-path. # The path separator used here should be the separator specified by "version_path_separator" below. -# version_locations = %(here)s/bar:%(here)s/bat:migrations/versions +# version_locations = %(here)s/bar:%(here)s/bat:internal/infrastructure_/data_storage/relational/postgres/migration/versions # version path separator; As mentioned above, this is the character used to split # version_locations. The default within new alembic.ini files is "os", which uses os.pathsep. diff --git a/app/db/migrations/env.py b/internal/infrastructure/data_storage/relational/postgres/migrations/env.py similarity index 75% rename from app/db/migrations/env.py rename to internal/infrastructure/data_storage/relational/postgres/migrations/env.py index 6ad7bb57..7f723154 100644 --- a/app/db/migrations/env.py +++ b/internal/infrastructure/data_storage/relational/postgres/migrations/env.py @@ -1,11 +1,22 @@ from logging.config import fileConfig -from sqlalchemy import engine_from_config, pool + +from sqlalchemy import engine_from_config +from sqlalchemy import pool + from alembic import context -from app.settings import settings -from app.db import ORMBase -from app.domain.file.file import FileORM # noqa: F401 -from app.domain.file.dataset import DatasetORM # noqa: F401 -from app.domain.task.task import TaskORM # noqa: F401 + +from internal.infrastructure.data_storage import settings +from internal.infrastructure.data_storage.relational.model import ORMBaseModel +from internal.infrastructure.data_storage.relational.model.file.file_metadata import ( # noqa: F401 + FileMetadataORM, +) +from internal.infrastructure.data_storage.relational.model.file.dataset import ( # noqa: F401 + DatasetORM, +) +from internal.infrastructure.data_storage.relational.model.task.task import ( # noqa: F401 + TaskORM, +) + # this is the Alembic Config object, which provides # access to the values within the .ini file in use. @@ -20,7 +31,7 @@ # for 'autogenerate' support # from myapp import mymodel # target_metadata = mymodel.Base.metadata -target_metadata = ORMBase.metadata +target_metadata = ORMBaseModel.metadata section = config.config_ini_section config.set_section_option(section, "db_url", settings.postgres_dsn.unicode_string()) @@ -31,7 +42,7 @@ def run_migrations_offline() -> None: - """Run migrations in 'offline' mode. + """Run migration in 'offline' mode. This configures the context with just a URL and not an Engine, though an Engine is acceptable @@ -55,7 +66,7 @@ def run_migrations_offline() -> None: def run_migrations_online() -> None: - """Run migrations in 'online' mode. + """Run migration in 'online' mode. In this scenario we need to create an Engine and associate a connection with the context. diff --git a/app/db/migrations/script.py.mako b/internal/infrastructure/data_storage/relational/postgres/migrations/script.py.mako similarity index 100% rename from app/db/migrations/script.py.mako rename to internal/infrastructure/data_storage/relational/postgres/migrations/script.py.mako diff --git a/app/db/migrations/versions/6a59d47fe978_create_file_and_dataset_tables.py b/internal/infrastructure/data_storage/relational/postgres/migrations/versions/925f30493c24_create_file_metadata_and_dataset_tadble.py similarity index 53% rename from app/db/migrations/versions/6a59d47fe978_create_file_and_dataset_tables.py rename to internal/infrastructure/data_storage/relational/postgres/migrations/versions/925f30493c24_create_file_metadata_and_dataset_tadble.py index 9521119f..c59b4cc6 100644 --- a/app/db/migrations/versions/6a59d47fe978_create_file_and_dataset_tables.py +++ b/internal/infrastructure/data_storage/relational/postgres/migrations/versions/925f30493c24_create_file_metadata_and_dataset_tadble.py @@ -1,8 +1,8 @@ -"""create file and dataset tables +"""create_file_metadata_and_dataset_tadble -Revision ID: 6a59d47fe978 -Revises: 03c0f0f4b98e -Create Date: 2024-04-02 01:54:21.955372 +Revision ID: 925f30493c24 +Revises: a6df7c9124be +Create Date: 2024-09-18 22:50:48.547252 """ @@ -10,11 +10,11 @@ from alembic import op import sqlalchemy as sa -from sqlalchemy.dialects import postgresql + # revision identifiers, used by Alembic. -revision: str = "6a59d47fe978" -down_revision: Union[str, None] = "03c0f0f4b98e" +revision: str = "925f30493c24" +down_revision: Union[str, None] = "a6df7c9124be" branch_labels: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None @@ -22,27 +22,47 @@ def upgrade() -> None: # ### commands auto generated by Alembic - please adjust! ### op.create_table( - "file", + "file_metadata", sa.Column("id", sa.Uuid(), nullable=False), sa.Column("mime_type", sa.String(), nullable=False), sa.Column("file_name", sa.Uuid(), nullable=False), sa.Column("original_file_name", sa.String(), nullable=False), - sa.Column("created_at", sa.TIMESTAMP(), nullable=False), - sa.Column("updated_at", sa.TIMESTAMP(), nullable=False), + sa.Column( + "created_at", + sa.TIMESTAMP(timezone=True), + server_default=sa.text("now()"), + nullable=False, + ), + sa.Column( + "updated_at", + sa.TIMESTAMP(timezone=True), + server_default=sa.text("now()"), + nullable=False, + ), sa.PrimaryKeyConstraint("id"), ) op.create_table( "dataset", sa.Column("id", sa.Uuid(), nullable=False), sa.Column("is_built_in", sa.Boolean(), nullable=False), - sa.Column("header", postgresql.ARRAY(sa.Integer()), nullable=False), + sa.Column("header", sa.ARRAY(sa.Integer()), nullable=False), sa.Column("separator", sa.String(), nullable=False), sa.Column("file_id", sa.Uuid(), nullable=False), - sa.Column("created_at", sa.TIMESTAMP(), nullable=False), - sa.Column("updated_at", sa.TIMESTAMP(), nullable=False), + sa.Column( + "created_at", + sa.TIMESTAMP(timezone=True), + server_default=sa.text("now()"), + nullable=False, + ), + sa.Column( + "updated_at", + sa.TIMESTAMP(timezone=True), + server_default=sa.text("now()"), + nullable=False, + ), sa.ForeignKeyConstraint( ["file_id"], - ["file.id"], + ["file_metadata.id"], ), sa.PrimaryKeyConstraint("id"), ) @@ -52,5 +72,5 @@ def upgrade() -> None: def downgrade() -> None: # ### commands auto generated by Alembic - please adjust! ### op.drop_table("dataset") - op.drop_table("file") + op.drop_table("file_metadata") # ### end Alembic commands ### diff --git a/app/db/migrations/versions/03c0f0f4b98e_first_empty_migration.py b/internal/infrastructure/data_storage/relational/postgres/migrations/versions/a6df7c9124be_first_empty_migration.py similarity index 80% rename from app/db/migrations/versions/03c0f0f4b98e_first_empty_migration.py rename to internal/infrastructure/data_storage/relational/postgres/migrations/versions/a6df7c9124be_first_empty_migration.py index 214b9690..69670c9b 100644 --- a/app/db/migrations/versions/03c0f0f4b98e_first_empty_migration.py +++ b/internal/infrastructure/data_storage/relational/postgres/migrations/versions/a6df7c9124be_first_empty_migration.py @@ -1,8 +1,8 @@ -"""First empty migration +"""first_empty_migration -Revision ID: 03c0f0f4b98e +Revision ID: a6df7c9124be Revises: -Create Date: 2023-12-22 15:55:23.335330 +Create Date: 2024-09-18 22:40:07.892034 """ @@ -10,7 +10,7 @@ # revision identifiers, used by Alembic. -revision: str = "03c0f0f4b98e" +revision: str = "a6df7c9124be" down_revision: Union[str, None] = None branch_labels: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None diff --git a/app/db/migrations/versions/7dc9a3441d07_add_task.py b/internal/infrastructure/data_storage/relational/postgres/migrations/versions/b13295f9fac2_create_task_tadble.py similarity index 70% rename from app/db/migrations/versions/7dc9a3441d07_add_task.py rename to internal/infrastructure/data_storage/relational/postgres/migrations/versions/b13295f9fac2_create_task_tadble.py index 8ff511e7..9d519b81 100644 --- a/app/db/migrations/versions/7dc9a3441d07_add_task.py +++ b/internal/infrastructure/data_storage/relational/postgres/migrations/versions/b13295f9fac2_create_task_tadble.py @@ -1,8 +1,8 @@ -"""add task +"""create_task_tadble -Revision ID: 7dc9a3441d07 -Revises: 6a59d47fe978 -Create Date: 2024-04-02 04:04:09.759025 +Revision ID: b13295f9fac2 +Revises: 925f30493c24 +Create Date: 2024-09-18 22:54:19.185777 """ @@ -13,8 +13,8 @@ from sqlalchemy.dialects import postgresql # revision identifiers, used by Alembic. -revision: str = "7dc9a3441d07" -down_revision: Union[str, None] = "6a59d47fe978" +revision: str = "b13295f9fac2" +down_revision: Union[str, None] = "925f30493c24" branch_labels: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None @@ -45,8 +45,18 @@ def upgrade() -> None: nullable=True, ), sa.Column("traceback", sa.String(), nullable=True), - sa.Column("created_at", sa.TIMESTAMP(), nullable=False), - sa.Column("updated_at", sa.TIMESTAMP(), nullable=False), + sa.Column( + "created_at", + sa.TIMESTAMP(timezone=True), + server_default=sa.text("now()"), + nullable=False, + ), + sa.Column( + "updated_at", + sa.TIMESTAMP(timezone=True), + server_default=sa.text("now()"), + nullable=False, + ), sa.ForeignKeyConstraint( ["dataset_id"], ["dataset.id"], @@ -56,12 +66,7 @@ def upgrade() -> None: # ### end Alembic commands ### -# ADJUSTED! See: https://github.com/sqlalchemy/alembic/issues/278#issuecomment-907283386 def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### op.drop_table("task") - - taskfailurereason = sa.Enum(name="taskfailurereason") - taskfailurereason.drop(op.get_bind(), checkfirst=True) - - taskstatus = sa.Enum(name="taskstatus") - taskstatus.drop(op.get_bind(), checkfirst=True) + # ### end Alembic commands ### diff --git a/app/settings/settings.py b/internal/infrastructure/data_storage/settings.py similarity index 76% rename from app/settings/settings.py rename to internal/infrastructure/data_storage/settings.py index 15519213..cf1f28b9 100644 --- a/app/settings/settings.py +++ b/internal/infrastructure/data_storage/settings.py @@ -1,8 +1,14 @@ +# type: ignore + +# Values ​​in the settings are added dynamically, so the static analyzer, +# without knowing this, produces an error. + from functools import cached_property from dotenv import load_dotenv, find_dotenv -from pydantic import AmqpDsn, DirectoryPath, PostgresDsn, Field, ByteSize +from pydantic import AmqpDsn, DirectoryPath, PostgresDsn from pydantic_settings import BaseSettings +from pathlib import Path load_dotenv(find_dotenv(".env")) @@ -20,13 +26,8 @@ class Settings(BaseSettings): rabbitmq_default_password: str rabbitmq_host: str rabbitmq_port: int = 5672 - # Worker limits - worker_soft_time_limit_in_seconds: int = Field(default=60, gt=0) - worker_hard_time_limit_in_seconds: int = Field(default=120, gt=0) - worker_soft_memory_limit: ByteSize = "2GB" - worker_hard_memory_limit: ByteSize = "4GB" - # Files settings and limits - uploaded_files_dir_path: DirectoryPath = "uploads/" + # Flat files settings + uploaded_files_dir_path: DirectoryPath = Path("uploads/") @cached_property def rabbitmq_dsn(self) -> AmqpDsn: diff --git a/internal/repository/README.md b/internal/repository/README.md new file mode 100644 index 00000000..6d4fac5d --- /dev/null +++ b/internal/repository/README.md @@ -0,0 +1,3 @@ +# repository module +This module contains implementations of all repositories. +To implement your repository, create a module here for the repository that the repository works with (or use an existing one), and then implement the repository WITHOUT inheriting from interfaces. It is important that in the repository implementation all operations occur through the universal context from the `internal.infrastructure.data_storage` directory. diff --git a/internal/repository/__init__.py b/internal/repository/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/repository/flat/__init__.py b/internal/repository/flat/__init__.py new file mode 100644 index 00000000..a6b33771 --- /dev/null +++ b/internal/repository/flat/__init__.py @@ -0,0 +1 @@ +from internal.repository.flat.file import FileRepository # noqa: F401 diff --git a/internal/repository/flat/file.py b/internal/repository/flat/file.py new file mode 100644 index 00000000..6d1a6c6b --- /dev/null +++ b/internal/repository/flat/file.py @@ -0,0 +1,43 @@ +from pathlib import Path + +import pandas as pd + +from internal.dto.repository.file.file import ( + FailedFileReadingException, + CSVFileFindSchema, + CSVFileResponseSchema, +) +from internal.dto.repository.file import File, FileCreateSchema +from internal.infrastructure.data_storage.flat import FlatAddModel +from internal.infrastructure.data_storage import Context + + +class FileRepository: + async def create( + self, + file: File, + file_info: FileCreateSchema, + context: Context, + ) -> None: + model = FlatAddModel(file=file, file_name=str(file_info.file_name)) + + try: + context.add(model) + await context.async_flush() + except Exception: + raise FailedFileReadingException("The sent file could not be read.") + + def find( + self, + file_info: CSVFileFindSchema, + context: Context, + ) -> CSVFileResponseSchema: + path_to_file = Path( + context.flat_context.upload_directory_path, str(file_info.file_name) + ) + + return pd.read_csv( + path_to_file, + sep=file_info.separator, + header=file_info.header, + ) diff --git a/internal/repository/relational/__init__.py b/internal/repository/relational/__init__.py new file mode 100644 index 00000000..3352cffe --- /dev/null +++ b/internal/repository/relational/__init__.py @@ -0,0 +1 @@ +from internal.repository.relational.crud import CRUD # noqa: F401 diff --git a/internal/repository/relational/crud.py b/internal/repository/relational/crud.py new file mode 100644 index 00000000..44020e8d --- /dev/null +++ b/internal/repository/relational/crud.py @@ -0,0 +1,97 @@ +from typing import Type + +from sqlalchemy import select + +from internal.infrastructure.data_storage.relational.model import ORMBaseModel +from internal.dto.repository.base_schema import ( + BaseCreateSchema, + BaseUpdateSchema, + BaseFindSchema, + BaseResponseSchema, +) +from internal.infrastructure.data_storage import Context +from internal.dto.repository.exception import ModelNotFoundException + + +class CRUD[ + ORMModel: ORMBaseModel, + CreateSchema: BaseCreateSchema, + UpdateSchema: BaseUpdateSchema, + FindSchema: BaseFindSchema, + ResponseSchema: BaseResponseSchema, +]: + def __init__( + self, orm_model: Type[ORMModel], response_schema: Type[ResponseSchema] + ) -> None: + self._orm_model: Type[ORMModel] = orm_model + self._response_schema: Type[ResponseSchema] = response_schema + + def create(self, create_schema: CreateSchema, context: Context) -> ResponseSchema: + create_schema_dict = create_schema.model_dump() + db_model_instance = self._orm_model(**create_schema_dict) + context.add(db_model_instance) + context.flush() + return self._response_schema.model_validate(db_model_instance) + + def _find(self, find_schema: FindSchema, context: Context) -> ORMModel | None: + find_schema_dict = find_schema.model_dump() + stmt = select(self._orm_model).filter_by(**find_schema_dict) + db_model_instance = context.execute(stmt).scalars().one_or_none() + return db_model_instance + + def find(self, find_schema: FindSchema, context: Context) -> ResponseSchema | None: + db_model_instance = self._find(find_schema, context) + response = ( + self._response_schema.model_validate(db_model_instance) + if db_model_instance + else None + ) + return response + + def find_or_create( + self, + find_schema: FindSchema, + create_schema: CreateSchema, + context: Context, + ) -> ResponseSchema: + db_model_instance = self._find(find_schema, context) + if not db_model_instance: + db_model_instance = self.create(create_schema, context) + return self._response_schema.model_validate(db_model_instance) + + def update( + self, + find_schema: FindSchema, + update_schema: UpdateSchema, + fields_to_update_if_none: set[str] | None, + context: Context, + ) -> ResponseSchema: + db_model_instance = self._find(find_schema, context) + if not db_model_instance: + raise ModelNotFoundException( + "When updating data, the required row was not found in the database." + ) + + update_schema_dict = update_schema.model_dump() + fields_to_update_if_none = ( + fields_to_update_if_none if fields_to_update_if_none else set() + ) + + for key, value in update_schema_dict.items(): + if value is not None or key in fields_to_update_if_none: + setattr(db_model_instance, key, value) + + context.add(db_model_instance) + context.flush() + + return self._response_schema.model_validate(db_model_instance) + + def delete( + self, find_schema: FindSchema, context: Context + ) -> ResponseSchema | None: + db_model_instance = self._find(find_schema, context) + if not db_model_instance: + return None + context.delete(db_model_instance) + context.flush() + return self._response_schema.model_validate(db_model_instance) diff --git a/internal/repository/relational/file/__init__.py b/internal/repository/relational/file/__init__.py new file mode 100644 index 00000000..76523981 --- /dev/null +++ b/internal/repository/relational/file/__init__.py @@ -0,0 +1,4 @@ +from internal.repository.relational.file.file_metadata import ( # noqa: F401 + FileMetadataRepository, +) +from internal.repository.relational.file.dataset import DatasetRepository # noqa: F401 diff --git a/internal/repository/relational/file/dataset.py b/internal/repository/relational/file/dataset.py new file mode 100644 index 00000000..0dda7527 --- /dev/null +++ b/internal/repository/relational/file/dataset.py @@ -0,0 +1,50 @@ +from sqlalchemy import select +from sqlalchemy.orm import joinedload + +from internal.infrastructure.data_storage import Context +from internal.infrastructure.data_storage.relational.model.file import DatasetORM +from internal.repository.relational import CRUD +from internal.dto.repository.file import ( + DatasetCreateSchema, + DatasetUpdateSchema, + DatasetFindSchema, + DatasetResponseSchema, + FileMetadataResponseSchema, + DatasetNotFoundException, +) + + +class DatasetRepository( + CRUD[ + DatasetORM, + DatasetCreateSchema, + DatasetUpdateSchema, + DatasetFindSchema, + DatasetResponseSchema, + ] +): + def __init__(self): + super().__init__(orm_model=DatasetORM, response_schema=DatasetResponseSchema) + + def find_with_file_metadata( + self, + dataset_info: DatasetFindSchema, + context: Context, + ) -> tuple[DatasetResponseSchema, FileMetadataResponseSchema]: + dataset_find_dict = dataset_info.model_dump() + stmt = ( + select(DatasetORM) + .options(joinedload(DatasetORM.file_metadata)) + .filter_by(**dataset_find_dict) + ) + dataset_orm_instance = context.execute(stmt).scalars().one_or_none() + + if not dataset_orm_instance: + raise DatasetNotFoundException() + + dataset_response = DatasetResponseSchema.model_validate(dataset_orm_instance) + file_metadata_response = FileMetadataResponseSchema.model_validate( + dataset_orm_instance.file_metadata + ) + + return dataset_response, file_metadata_response diff --git a/internal/repository/relational/file/file_metadata.py b/internal/repository/relational/file/file_metadata.py new file mode 100644 index 00000000..a16b6d0c --- /dev/null +++ b/internal/repository/relational/file/file_metadata.py @@ -0,0 +1,23 @@ +from internal.dto.repository.file import ( + FileMetadataCreateSchema, + FileMetadataUpdateSchema, + FileMetadataFindSchema, + FileMetadataResponseSchema, +) +from internal.infrastructure.data_storage.relational.model.file import FileMetadataORM +from internal.repository.relational import CRUD + + +class FileMetadataRepository( + CRUD[ + FileMetadataORM, + FileMetadataCreateSchema, + FileMetadataUpdateSchema, + FileMetadataFindSchema, + FileMetadataResponseSchema, + ] +): + def __init__(self): + super().__init__( + orm_model=FileMetadataORM, response_schema=FileMetadataResponseSchema + ) diff --git a/internal/repository/relational/task/__init__.py b/internal/repository/relational/task/__init__.py new file mode 100644 index 00000000..233ca550 --- /dev/null +++ b/internal/repository/relational/task/__init__.py @@ -0,0 +1 @@ +from internal.repository.relational.task.task import TaskRepository # noqa: F401 diff --git a/internal/repository/relational/task/task.py b/internal/repository/relational/task/task.py new file mode 100644 index 00000000..f0d9dd23 --- /dev/null +++ b/internal/repository/relational/task/task.py @@ -0,0 +1,17 @@ +from internal.infrastructure.data_storage.relational.model.task import TaskORM +from internal.repository.relational import CRUD +from internal.dto.repository.task import ( + TaskCreateSchema, + TaskUpdateSchema, + TaskFindSchema, + TaskResponseSchema, +) + + +class TaskRepository( + CRUD[ + TaskORM, TaskCreateSchema, TaskUpdateSchema, TaskFindSchema, TaskResponseSchema + ] +): + def __init__(self): + super().__init__(orm_model=TaskORM, response_schema=TaskResponseSchema) diff --git a/internal/repository/relational/user/__init__.py b/internal/repository/relational/user/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/rest/__init__.py b/internal/rest/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/rest/http/__init__.py b/internal/rest/http/__init__.py new file mode 100644 index 00000000..600abe99 --- /dev/null +++ b/internal/rest/http/__init__.py @@ -0,0 +1,13 @@ +from fastapi import APIRouter + +from internal.rest.http.common import router as common_router +from internal.rest.http.file import router as file_router +from internal.rest.http.user import router as user_router +from internal.rest.http.task import router as task_router + +router = APIRouter(prefix="/api") + +router.include_router(common_router) +router.include_router(file_router) +router.include_router(user_router) +router.include_router(task_router) diff --git a/internal/rest/http/common/__init__.py b/internal/rest/http/common/__init__.py new file mode 100644 index 00000000..c1a9991e --- /dev/null +++ b/internal/rest/http/common/__init__.py @@ -0,0 +1,7 @@ +from fastapi import APIRouter + +from internal.rest.http.common.ping import router as ping_router + +router = APIRouter(prefix="/common", tags=["common"]) + +router.include_router(ping_router) diff --git a/internal/rest/http/common/di.py b/internal/rest/http/common/di.py new file mode 100644 index 00000000..e69de29b diff --git a/app/api/ping.py b/internal/rest/http/common/ping.py similarity index 99% rename from app/api/ping.py rename to internal/rest/http/common/ping.py index 53be9b57..e708e6ba 100644 --- a/app/api/ping.py +++ b/internal/rest/http/common/ping.py @@ -1,4 +1,5 @@ from typing import Literal + from fastapi import APIRouter router = APIRouter() diff --git a/internal/rest/http/di.py b/internal/rest/http/di.py new file mode 100644 index 00000000..b7a5a6d4 --- /dev/null +++ b/internal/rest/http/di.py @@ -0,0 +1,39 @@ +from fastapi import Depends + +from internal.infrastructure.data_storage import ( + get_context_maker, + get_context_maker_without_pool, +) +from internal.repository.flat import FileRepository +from internal.repository.relational.file import ( + FileMetadataRepository, + DatasetRepository, +) +from internal.repository.relational.task import TaskRepository +from internal.uow import UnitOfWork + + +def get_unit_of_work(context_maker=Depends(get_context_maker)) -> UnitOfWork: + return UnitOfWork(context_maker) + + +def get_unit_of_work_without_pool( + context_maker=Depends(get_context_maker_without_pool), +) -> UnitOfWork: + return UnitOfWork(context_maker) + + +def get_file_repo() -> FileRepository: + return FileRepository() + + +def get_file_metadata_repo() -> FileMetadataRepository: + return FileMetadataRepository() + + +def get_dataset_repo() -> DatasetRepository: + return DatasetRepository() + + +def get_task_repo() -> TaskRepository: + return TaskRepository() diff --git a/internal/rest/http/exception.py b/internal/rest/http/exception.py new file mode 100644 index 00000000..4e1622f8 --- /dev/null +++ b/internal/rest/http/exception.py @@ -0,0 +1,48 @@ +from fastapi import FastAPI, Request, HTTPException + +from internal.usecase.file.exception import ( + IncorrectFileFormatException, + DatasetNotFoundException, + FileMetadataNotFoundException, + FailedReadFileException, +) +from internal.usecase.task.exception import TaskNotFoundException + + +def add_exception_handlers(app: FastAPI): + @app.exception_handler(IncorrectFileFormatException) + def incorrect_file_format_exception( + request: Request, exc: IncorrectFileFormatException + ): + raise HTTPException( + status_code=400, + detail=str(exc), + ) + + @app.exception_handler(DatasetNotFoundException) + def dataset_not_found_exception(_, exc: DatasetNotFoundException): + raise HTTPException( + status_code=404, + detail=str(exc), + ) + + @app.exception_handler(FileMetadataNotFoundException) + def file_metadata_not_found_exception(_, exc: FileMetadataNotFoundException): + raise HTTPException( + status_code=404, + detail=str(exc), + ) + + @app.exception_handler(TaskNotFoundException) + def task_not_found_exception(_, exc: TaskNotFoundException): + raise HTTPException( + status_code=404, + detail=str(exc), + ) + + @app.exception_handler(FailedReadFileException) + def failed_read_file_exception(_, exc: FailedReadFileException): + raise HTTPException( + status_code=404, + detail=str(exc), + ) diff --git a/internal/rest/http/file/__init__.py b/internal/rest/http/file/__init__.py new file mode 100644 index 00000000..71a72998 --- /dev/null +++ b/internal/rest/http/file/__init__.py @@ -0,0 +1,9 @@ +from fastapi import APIRouter + +from internal.rest.http.file.upload_csv_dataset import router as upload_csv_file_router +from internal.rest.http.file.retrieve_dataset import router as retrieve_dataset_router + +router = APIRouter(prefix="/file", tags=["file"]) + +router.include_router(upload_csv_file_router) +router.include_router(retrieve_dataset_router) diff --git a/internal/rest/http/file/di.py b/internal/rest/http/file/di.py new file mode 100644 index 00000000..53126195 --- /dev/null +++ b/internal/rest/http/file/di.py @@ -0,0 +1,54 @@ +from fastapi import Depends + +from internal.rest.http.di import ( + get_unit_of_work, + get_file_repo, + get_file_metadata_repo, + get_dataset_repo, +) +from internal.uow import UnitOfWork +from internal.usecase.file import ( + SaveFile, + SaveDataset, + CheckContentType, + RetrieveDataset, +) +from internal.usecase.file.save_dataset import DatasetRepo as SaveDatasetRepo +from internal.usecase.file.retrieve_dataset import DatasetRepo as RetrieveDatasetRepo +from internal.usecase.file.save_file import FileRepo, FileMetadataRepo + + +def get_save_file_use_case( + unit_of_work: UnitOfWork = Depends(get_unit_of_work), + file_repo: FileRepo = Depends(get_file_repo), + file_metadata_repo: FileMetadataRepo = Depends(get_file_metadata_repo), +) -> SaveFile: + return SaveFile( + unit_of_work=unit_of_work, + file_repo=file_repo, + file_metadata_repo=file_metadata_repo, + ) + + +def get_save_dataset_use_case( + unit_of_work: UnitOfWork = Depends(get_unit_of_work), + dataset_repo: SaveDatasetRepo = Depends(get_dataset_repo), +) -> SaveDataset: + return SaveDataset( + unit_of_work=unit_of_work, + dataset_repo=dataset_repo, + ) + + +def get_check_content_type_use_case() -> CheckContentType: + return CheckContentType() + + +def get_retrieve_dataset_use_case( + unit_of_work: UnitOfWork = Depends(get_unit_of_work), + dataset_repo: RetrieveDatasetRepo = Depends(get_dataset_repo), +) -> RetrieveDataset: + return RetrieveDataset( + unit_of_work=unit_of_work, + dataset_repo=dataset_repo, + ) diff --git a/internal/rest/http/file/retrieve_dataset.py b/internal/rest/http/file/retrieve_dataset.py new file mode 100644 index 00000000..25ef0b5f --- /dev/null +++ b/internal/rest/http/file/retrieve_dataset.py @@ -0,0 +1,31 @@ +from uuid import UUID + +from fastapi import APIRouter, Depends +from pydantic import BaseModel + +from internal.rest.http.file.di import get_retrieve_dataset_use_case +from internal.usecase.file import RetrieveDataset + +router = APIRouter() + + +class ResponseSchema(BaseModel): + id: UUID + file_id: UUID + separator: str + header: list[int] + + +@router.post("/dataset/{dataset_id}", response_model=ResponseSchema) +def retrieve_dataset( + dataset_id: UUID, + retrieve_dataset_use_case: RetrieveDataset = Depends(get_retrieve_dataset_use_case), +) -> ResponseSchema: + dataset = retrieve_dataset_use_case(dataset_id=dataset_id) + + return ResponseSchema( + id=dataset.id, + file_id=dataset.file_id, + separator=dataset.separator, + header=dataset.header, + ) diff --git a/internal/rest/http/file/upload_csv_dataset.py b/internal/rest/http/file/upload_csv_dataset.py new file mode 100644 index 00000000..bf64333e --- /dev/null +++ b/internal/rest/http/file/upload_csv_dataset.py @@ -0,0 +1,44 @@ +from typing import Annotated +from uuid import UUID + +from fastapi import Form, UploadFile, Depends, APIRouter + +from internal.rest.http.file.di import ( + get_save_file_use_case, + get_save_dataset_use_case, + get_check_content_type_use_case, +) +from internal.usecase.file import SaveFile, SaveDataset, CheckContentType + +router = APIRouter() + + +class UploadFileAdapter: + def __init__(self, upload_file: UploadFile): + self.filename = upload_file.filename or "" + self.content_type = upload_file.content_type or "" + self._upload_file = upload_file + + async def read(self, chunk_size: int) -> bytes: + return await self._upload_file.read(chunk_size) + + +@router.post("/csv") +async def upload_csv_dataset( + file: UploadFile, + separator: Annotated[str, Form()], # ?separator="," + header: Annotated[list[int], Form()], # ?header=0?header=1?header=2, + check_content_type: CheckContentType = Depends(get_check_content_type_use_case), + save_file: SaveFile = Depends(get_save_file_use_case), + save_dataset: SaveDataset = Depends(get_save_dataset_use_case), +) -> UUID: + adapted_file = UploadFileAdapter(file) + + check_content_type(upload_file=adapted_file) + save_file_result = await save_file(upload_file=adapted_file) + save_dataset_result = save_dataset( + file_id=save_file_result.id, + separator=separator, + header=header, + ) + return save_dataset_result diff --git a/internal/rest/http/task/__init__.py b/internal/rest/http/task/__init__.py new file mode 100644 index 00000000..f81e0f5c --- /dev/null +++ b/internal/rest/http/task/__init__.py @@ -0,0 +1,9 @@ +from fastapi import APIRouter + +from internal.rest.http.task.set_task import router as set_task_router +from internal.rest.http.task.retrieve_task import router as retrieve_task_router + +router = APIRouter(prefix="/task", tags=["task"]) + +router.include_router(set_task_router) +router.include_router(retrieve_task_router) diff --git a/internal/rest/http/task/di.py b/internal/rest/http/task/di.py new file mode 100644 index 00000000..d458ddb6 --- /dev/null +++ b/internal/rest/http/task/di.py @@ -0,0 +1,39 @@ +from fastapi import Depends + +from internal.uow import UnitOfWork +from internal.rest.http.di import get_unit_of_work, get_task_repo, get_dataset_repo +from internal.usecase.task import RetrieveTask, SetTask +from internal.usecase.task.retrieve_task import TaskRepo as RetrieveTaskRepo +from internal.usecase.task.set_task import ( + TaskRepo as SetTaskRepo, + DatasetRepo as SetDatasetRepo, +) +from internal.worker.celery import ProfilingTaskWorker + + +def get_profiling_task_worker() -> ProfilingTaskWorker: + return ProfilingTaskWorker() + + +def get_retrieve_task_use_case( + unit_of_work: UnitOfWork = Depends(get_unit_of_work), + task_repo: RetrieveTaskRepo = Depends(get_task_repo), +) -> RetrieveTask: + return RetrieveTask( + unit_of_work=unit_of_work, + task_repo=task_repo, + ) + + +def get_set_task_use_case( + unit_of_work: UnitOfWork = Depends(get_unit_of_work), + task_repo: SetTaskRepo = Depends(get_task_repo), + dataset_repo: SetDatasetRepo = Depends(get_dataset_repo), + profiling_task_worker: ProfilingTaskWorker = Depends(get_profiling_task_worker), +) -> SetTask: + return SetTask( + unit_of_work=unit_of_work, + task_repo=task_repo, + dataset_repo=dataset_repo, + profiling_task_worker=profiling_task_worker, + ) diff --git a/internal/rest/http/task/retrieve_task.py b/internal/rest/http/task/retrieve_task.py new file mode 100644 index 00000000..85808844 --- /dev/null +++ b/internal/rest/http/task/retrieve_task.py @@ -0,0 +1,43 @@ +from uuid import UUID + +from fastapi import APIRouter, Depends +from pydantic import BaseModel + +from internal.domain.task.value_objects import ( + TaskStatus, + OneOfTaskConfig, + OneOfTaskResult, + TaskFailureReason, +) +from internal.rest.http.task.di import get_retrieve_task_use_case +from internal.usecase.task import RetrieveTask + +router = APIRouter() + + +class ResponseSchema(BaseModel): + status: TaskStatus + config: OneOfTaskConfig + dataset_id: UUID + result: OneOfTaskResult | None + raised_exception_name: str | None + failure_reason: TaskFailureReason | None + traceback: str | None + + +@router.get("/{task_id}") +def retrieve_task( + task_id: UUID, + retrieve_task_use_case: RetrieveTask = Depends(get_retrieve_task_use_case), +) -> ResponseSchema: + task = retrieve_task_use_case(task_id=task_id) + + return ResponseSchema( + status=task.status, + dataset_id=task.dataset_id, + config=task.config, + result=task.result, + raised_exception_name=task.raised_exception_name, + failure_reason=task.failure_reason, + traceback=task.traceback, + ) diff --git a/internal/rest/http/task/set_task.py b/internal/rest/http/task/set_task.py new file mode 100644 index 00000000..e0b98369 --- /dev/null +++ b/internal/rest/http/task/set_task.py @@ -0,0 +1,23 @@ +from uuid import UUID + +from fastapi import APIRouter, Depends + +from internal.domain.task.value_objects import OneOfTaskConfig +from internal.rest.http.task.di import get_set_task_use_case +from internal.usecase.task import SetTask + +router = APIRouter() + + +@router.post("/set") +def set_task( + dataset_id: UUID, + config: OneOfTaskConfig, + set_task_use_case: SetTask = Depends(get_set_task_use_case), +) -> UUID: + task_id = set_task_use_case( + dataset_id=dataset_id, + config=config, + ) + + return task_id diff --git a/internal/rest/http/user/__init__.py b/internal/rest/http/user/__init__.py new file mode 100644 index 00000000..b7940686 --- /dev/null +++ b/internal/rest/http/user/__init__.py @@ -0,0 +1,3 @@ +from fastapi import APIRouter + +router = APIRouter(prefix="/user", tags=["user"]) diff --git a/internal/rest/http/user/di.py b/internal/rest/http/user/di.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/uow/README.md b/internal/uow/README.md new file mode 100644 index 00000000..44ad732a --- /dev/null +++ b/internal/uow/README.md @@ -0,0 +1,34 @@ +# Unit of Work (UoW) +This module implements the Unit of Work (UoW) pattern, which is designed to manage transactions across multiple operations. It ensures that all changes within a transaction are either successfully committed or completely rolled back in case of an error. + +## What is UoW? +The Unit of Work pattern manages transactional operations within a business process. It groups multiple changes to a data store into a single logical transaction, ensuring that either all operations succeed or none do. This is particularly useful for preventing partial updates, ensuring data integrity, and managing rollbacks in case of errors. + +## Implementation +The Unit Of Work class works with a DataStorageContext interface (it is assumed that the generic context from `internal.infrastructure.data_storage` will be used), which defines essential methods like commit, flush, rollback, and close. This allows different types of data storage (e.g., relational databases, file systems) to be plugged in while adhering to a unified transaction control mechanism. + +To use UoW in your use case, you need to implement the DataStorageContext interface for your data store (if not already done), and then inject your context into the universal context from the infrastructure module. + +### Example +```python + +from typing import Protocol, Type +from uuid import UUID, uuid4 +from internal.infrastructure.data_storage import get_context_maker +from sqlalchemy.orm import Session +from internal.uow import UnitOfWork, DataStorageContext + +class DatasetRepo(Protocol): + def create(self, file_id: UUID, context: DataStorageContext) -> None: ... + +def create_uow() -> UnitOfWork: + return UnitOfWork(context_maker=get_context_maker()) + +def create_two_datasets( + uow: UnitOfWork, + dataset_repo: DatasetRepo +) -> None: + with uow as context: + dataset_repo.create(uuid4(), context=context) + dataset_repo.create(uuid4(), context=context) +``` diff --git a/internal/uow/__init__.py b/internal/uow/__init__.py new file mode 100644 index 00000000..0ea6a6a2 --- /dev/null +++ b/internal/uow/__init__.py @@ -0,0 +1 @@ +from internal.uow.uow import DataStorageContext, UnitOfWork # noqa: F401 diff --git a/internal/uow/uow.py b/internal/uow/uow.py new file mode 100644 index 00000000..b611f524 --- /dev/null +++ b/internal/uow/uow.py @@ -0,0 +1,35 @@ +from typing import Protocol, runtime_checkable + + +@runtime_checkable +class DataStorageContext(Protocol): + def commit(self) -> None: ... + + def flush(self) -> None: ... + + def rollback(self) -> None: ... + + def close(self) -> None: ... + + +class DataStorageContextMaker(Protocol): + def __call__(self) -> DataStorageContext: ... + + +class UnitOfWork: + def __init__(self, context_maker: DataStorageContextMaker): + self._context_maker: DataStorageContextMaker = context_maker + self._context: DataStorageContext | None = None + + def __enter__(self) -> DataStorageContext: + self._context = self._context_maker() + return self._context + + def __exit__(self, exc_type, exc_val, exc_tb) -> None: + if self._context is not None: + if exc_type: + self._context.rollback() + else: + self._context.commit() + self._context.close() + self._context = None diff --git a/internal/usecase/README.md b/internal/usecase/README.md new file mode 100644 index 00000000..21676beb --- /dev/null +++ b/internal/usecase/README.md @@ -0,0 +1,26 @@ +# usecase module +This module implements the core business logic, acting as a bridge between domain entities and or infrastructure. This module defines the key use cases, which handle interactions between different components of the system, ensuring that the business logic remains independent of implementation details. + +## submodules + +`file` - contains usecases and usecases' exceptions related to files and datasets, their creation, management, search, and more. + +`task` - contains usecases and usecases' exceptions related to tasks, their creation, launch, verification, and more. + +`user` - contains usecases and usecases' exceptions related to the user, authorization and other user actions. + +## How to create new usecase +### 1. Create DTO schemas +Create Data Transfer Object (DTO) schemas in `usecase.dto` to standardize the data flow between your use case and the repository. + +### 2. Define the Repository Interface Using `Protocol` +All repository interfaces must be created using Python’s `Protocol` to ensure type safety and flexibility in implementation. + +### 3. Implement the usecase +Implement the use case. The use case should manage domain entities directly but interact with repositories, services, and external components strictly through interfaces. + +### 4. Implement data storage context +Implement interface `DataStorageContext` for your data storage and then add it into the universal context from `internal.infrastructure.data_storage` module. + +### 4. Implement the repository +If the repository isn't implemented, you will need to provide a concrete implementation for the repository interface. Place this in the `internal.repository` module. diff --git a/internal/usecase/__init__.py b/internal/usecase/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/usecase/file/__init__.py b/internal/usecase/file/__init__.py new file mode 100644 index 00000000..e4020f93 --- /dev/null +++ b/internal/usecase/file/__init__.py @@ -0,0 +1,10 @@ +from internal.usecase.file.check_content_type import CheckContentType # noqa: F401 +from internal.usecase.file.save_dataset import SaveDataset # noqa: F401 +from internal.usecase.file.save_file import ( # noqa: F401 + SaveFile, + SaveFileUseCaseResult, +) +from internal.usecase.file.retrieve_dataset import ( # noqa: F401 + RetrieveDataset, + RetrieveDatasetUseCaseResult, +) diff --git a/internal/usecase/file/check_content_type.py b/internal/usecase/file/check_content_type.py new file mode 100644 index 00000000..4a6d2a6a --- /dev/null +++ b/internal/usecase/file/check_content_type.py @@ -0,0 +1,15 @@ +from typing import Protocol + +from internal.usecase.file.exception import IncorrectFileFormatException + + +class File(Protocol): + content_type: str + + +class CheckContentType: + def __call__(self, *, upload_file: File) -> None: + if ( + upload_file.content_type != "text/csv" + ): # TODO: replace with actual validation + raise IncorrectFileFormatException("File is not CSV") diff --git a/internal/usecase/file/exception.py b/internal/usecase/file/exception.py new file mode 100644 index 00000000..805201e9 --- /dev/null +++ b/internal/usecase/file/exception.py @@ -0,0 +1,57 @@ +class IncorrectFileFormatException(Exception): + """ + Exception raised when a file format is incorrect or not supported. + """ + + def __init__(self, message: str): + """ + Initializes an instance of IncorrectFileFormatException with a specific error message. + + Args: + message(str): The error message to be reported. + """ + super().__init__(message) + + +class DatasetNotFoundException(Exception): + """ + Exception raised when a dataset is not found. + + This exception does not require any additional attributes beyond the default message. + """ + + def __init__(self): + """ + Initializes an instance of DatasetNotFoundException without any specific message. + """ + super().__init__("Dataset not found") + + +class FileMetadataNotFoundException(Exception): + """ + Exception raised when file metadata is not found. + + This exception is used to indicate that the metadata for a specific file is missing + or could not be retrieved, which may impact operations that depend on that metadata. + """ + + def __init__(self): + """ + Initializes an instance of FileMetadataNotFoundException with a default message. + """ + super().__init__("File metadata not found") + + +class FailedReadFileException(Exception): + """ + Exception raised when a file reading operation fails. + """ + + def __init__(self, message: str): + """ + Initializes an instance of FailedReadFileException with a specific error message. + + Args: + message(str): The error message to be reported. + """ + super().__init__(message) diff --git a/internal/usecase/file/retrieve_dataset.py b/internal/usecase/file/retrieve_dataset.py new file mode 100644 index 00000000..fd89299d --- /dev/null +++ b/internal/usecase/file/retrieve_dataset.py @@ -0,0 +1,48 @@ +from typing import Protocol +from uuid import UUID +from pydantic import BaseModel + +from internal.dto.repository.file import DatasetFindSchema, DatasetResponseSchema +from internal.uow import DataStorageContext, UnitOfWork +from internal.usecase.file.exception import DatasetNotFoundException + + +class DatasetRepo(Protocol): + def find( + self, dataset_info: DatasetFindSchema, context: DataStorageContext + ) -> DatasetResponseSchema | None: ... + + +class RetrieveDatasetUseCaseResult(BaseModel): + id: UUID + file_id: UUID + separator: str + header: list[int] + + +class RetrieveDataset: + def __init__( + self, + unit_of_work: UnitOfWork, + dataset_repo: DatasetRepo, + ): + self.unit_of_work = unit_of_work + self.dataset_repo = dataset_repo + + def __call__(self, *, dataset_id: UUID) -> RetrieveDatasetUseCaseResult: + dataset_find_schema = DatasetFindSchema( + id=dataset_id, + ) + + with self.unit_of_work as context: + dataset = self.dataset_repo.find(dataset_find_schema, context) + + if not dataset: + raise DatasetNotFoundException() + + return RetrieveDatasetUseCaseResult( + id=dataset.id, + file_id=dataset.file_id, + separator=dataset.separator, + header=dataset.header, + ) diff --git a/internal/usecase/file/save_dataset.py b/internal/usecase/file/save_dataset.py new file mode 100644 index 00000000..ce214ee3 --- /dev/null +++ b/internal/usecase/file/save_dataset.py @@ -0,0 +1,33 @@ +from typing import Protocol +from uuid import UUID + +from internal.dto.repository.file import DatasetCreateSchema, DatasetResponseSchema +from internal.uow import DataStorageContext, UnitOfWork + + +class DatasetRepo(Protocol): + def create( + self, dataset_info: DatasetCreateSchema, context: DataStorageContext + ) -> DatasetResponseSchema: ... + + +class SaveDataset: + def __init__(self, unit_of_work: UnitOfWork, dataset_repo: DatasetRepo): + self.unit_of_work = unit_of_work + self.dataset_repo = dataset_repo + + def __call__( + self, + *, + file_id: UUID, + separator: str, + header: list[int], + ) -> UUID: + dataset_create_schema = DatasetCreateSchema( + file_id=file_id, separator=separator, header=header + ) + + with self.unit_of_work as context: + result = self.dataset_repo.create(dataset_create_schema, context) + + return result.id diff --git a/internal/usecase/file/save_file.py b/internal/usecase/file/save_file.py new file mode 100644 index 00000000..a12f2263 --- /dev/null +++ b/internal/usecase/file/save_file.py @@ -0,0 +1,78 @@ +import datetime +from typing import Protocol +from uuid import UUID +from pydantic import BaseModel + +from internal.domain.file import File as FileEntity +from internal.dto.repository.file import ( + FileCreateSchema, + File, + FailedFileReadingException, +) +from internal.dto.repository.file import ( + FileMetadataCreateSchema, + FileMetadataResponseSchema, +) +from internal.uow import DataStorageContext, UnitOfWork +from internal.usecase.file.exception import FailedReadFileException + + +class FileRepo(Protocol): + async def create( + self, file: File, file_info: FileCreateSchema, context: DataStorageContext + ) -> None: ... + + +class FileMetadataRepo(Protocol): + def create( + self, file_metadata: FileMetadataCreateSchema, context: DataStorageContext + ) -> FileMetadataResponseSchema: ... + + +class SaveFileUseCaseResult(BaseModel): + id: UUID + file_name: UUID + original_file_name: str + mime_type: str + created_at: datetime.datetime | None + updated_at: datetime.datetime | None + + +class SaveFile: + def __init__( + self, + unit_of_work: UnitOfWork, + file_repo: FileRepo, + file_metadata_repo: FileMetadataRepo, + ): + self.unit_of_work = unit_of_work + self.file_repo = file_repo + self.file_metadata_repo = file_metadata_repo + + async def __call__(self, *, upload_file: File) -> SaveFileUseCaseResult: + file = FileEntity() + + create_file_schema = FileCreateSchema(file_name=file.name_as_uuid) + file_metadata_create_schema = FileMetadataCreateSchema( + file_name=file.name_as_uuid, + original_file_name=upload_file.filename, + mime_type=upload_file.content_type, + ) + + with self.unit_of_work as context: + try: + response = self.file_metadata_repo.create( + file_metadata_create_schema, context + ) + await self.file_repo.create(upload_file, create_file_schema, context) + except FailedFileReadingException as e: + raise FailedReadFileException(str(e)) + + return SaveFileUseCaseResult( + id=response.id, + file_name=response.file_name, + original_file_name=response.original_file_name, + mime_type=response.mime_type, + created_at=response.created_at, + updated_at=response.updated_at, + ) diff --git a/internal/usecase/task/__init__.py b/internal/usecase/task/__init__.py new file mode 100644 index 00000000..a954e33c --- /dev/null +++ b/internal/usecase/task/__init__.py @@ -0,0 +1,4 @@ +from internal.usecase.task.retrieve_task import RetrieveTask # noqa: F401 +from internal.usecase.task.set_task import SetTask # noqa: F401 +from internal.usecase.task.profile_task import ProfileTask # noqa: F401 +from internal.usecase.task.update_task_info import UpdateTaskInfo # noqa: F401 diff --git a/internal/usecase/task/exception.py b/internal/usecase/task/exception.py new file mode 100644 index 00000000..c55f9846 --- /dev/null +++ b/internal/usecase/task/exception.py @@ -0,0 +1,14 @@ +class TaskNotFoundException(Exception): + """ + Exception raised when a task is not found in data storage. + + This exception does not require any additional attributes beyond the default message. + """ + + def __init__(self): + """ + Initializes an instance of TaskNotFoundException without any specific message. + + The default message "Task not found" is used. + """ + super().__init__("Task not found") diff --git a/internal/usecase/task/profile_task.py b/internal/usecase/task/profile_task.py new file mode 100644 index 00000000..f820e616 --- /dev/null +++ b/internal/usecase/task/profile_task.py @@ -0,0 +1,70 @@ +from typing import Protocol +from uuid import UUID + +from internal.domain.task.entities import match_task_by_primitive_name +from internal.domain.task.value_objects import OneOfTaskResult, OneOfTaskConfig +from internal.dto.repository.file import ( + DatasetFindSchema, + DatasetResponseSchema, + FileMetadataResponseSchema, +) +from internal.dto.repository.file import CSVFileFindSchema, CSVFileResponseSchema +from internal.dto.repository.file import ( + DatasetNotFoundException, + FileMetadataNotFoundException, +) +from internal.usecase.file.exception import ( + DatasetNotFoundException as DatasetNotFoundUseCaseException, +) +from internal.usecase.file.exception import ( + FileMetadataNotFoundException as FileMetadataNotFoundUseCaseException, +) +from internal.uow import UnitOfWork, DataStorageContext + + +class DatasetRepo(Protocol): + def find_with_file_metadata( + self, dataset_info: DatasetFindSchema, context: DataStorageContext + ) -> tuple[DatasetResponseSchema, FileMetadataResponseSchema]: ... + + +class FileRepo(Protocol): + def find( + self, file_info: CSVFileFindSchema, context: DataStorageContext + ) -> CSVFileResponseSchema: ... + + +class ProfileTask: + def __init__( + self, + unit_of_work: UnitOfWork, + file_repo: FileRepo, + dataset_repo: DatasetRepo, + ): + self.unit_of_work = unit_of_work + self.file_repo = file_repo + self.dataset_repo = dataset_repo + + def __call__(self, *, dataset_id: UUID, config: OneOfTaskConfig) -> OneOfTaskResult: + with self.unit_of_work as context: + try: + dataset, file_metadata = self.dataset_repo.find_with_file_metadata( + DatasetFindSchema(id=dataset_id), context + ) + + df = self.file_repo.find( + CSVFileFindSchema( + file_name=file_metadata.file_name, + separator=dataset.separator, + header=dataset.header, + ), + context, + ) + except DatasetNotFoundException: + raise DatasetNotFoundUseCaseException() + except FileMetadataNotFoundException: + raise FileMetadataNotFoundUseCaseException() + + task = match_task_by_primitive_name(primitive_name=config.primitive_name) + result = task.execute(table=df, task_config=config) # type: ignore + return result diff --git a/internal/usecase/task/retrieve_task.py b/internal/usecase/task/retrieve_task.py new file mode 100644 index 00000000..501ac39f --- /dev/null +++ b/internal/usecase/task/retrieve_task.py @@ -0,0 +1,64 @@ +import datetime +from typing import Protocol +from uuid import UUID + +from pydantic import BaseModel + +from internal.domain.task.value_objects import ( + TaskStatus, + OneOfTaskConfig, + OneOfTaskResult, + TaskFailureReason, +) +from internal.dto.repository.task import TaskResponseSchema, TaskFindSchema +from internal.uow import DataStorageContext, UnitOfWork +from internal.usecase.task.exception import TaskNotFoundException + + +class TaskRepo(Protocol): + def find( + self, task_info: TaskFindSchema, context: DataStorageContext + ) -> TaskResponseSchema | None: ... + + +class RetrieveTaskUseCaseResult(BaseModel): + task_id: UUID + status: TaskStatus + config: OneOfTaskConfig + result: OneOfTaskResult | None + dataset_id: UUID + + raised_exception_name: str | None + failure_reason: TaskFailureReason | None + traceback: str | None + + created_at: datetime.datetime | None + updated_at: datetime.datetime | None + + +class RetrieveTask: + def __init__(self, unit_of_work: UnitOfWork, task_repo: TaskRepo): + self.unit_of_work = unit_of_work + self.task_repo = task_repo + + def __call__(self, *, task_id: UUID) -> RetrieveTaskUseCaseResult: + task_find_schema = TaskFindSchema(id=task_id) + + with self.unit_of_work as context: + task = self.task_repo.find(task_find_schema, context) + + if not task: + raise TaskNotFoundException() + + return RetrieveTaskUseCaseResult( + task_id=task.id, + status=task.status, + config=task.config, + result=task.result, + dataset_id=task.dataset_id, + raised_exception_name=task.raised_exception_name, + failure_reason=task.failure_reason, + traceback=task.traceback, + created_at=task.created_at, + updated_at=task.updated_at, + ) diff --git a/internal/usecase/task/set_task.py b/internal/usecase/task/set_task.py new file mode 100644 index 00000000..47138b65 --- /dev/null +++ b/internal/usecase/task/set_task.py @@ -0,0 +1,65 @@ +from typing import Protocol +from uuid import UUID + +from internal.domain.task.value_objects import OneOfTaskConfig, TaskStatus +from internal.dto.repository.file import DatasetResponseSchema, DatasetFindSchema +from internal.dto.repository.task import TaskCreateSchema, TaskResponseSchema +from internal.dto.worker.task import ProfilingTaskCreateSchema +from internal.uow import DataStorageContext, UnitOfWork +from internal.usecase.file.exception import DatasetNotFoundException + + +class DatasetRepo(Protocol): + def find( + self, dataset_info: DatasetFindSchema, context: DataStorageContext + ) -> DatasetResponseSchema | None: ... + + +class TaskRepo(Protocol): + def create( + self, task_info: TaskCreateSchema, context: DataStorageContext + ) -> TaskResponseSchema: ... + + +class ProfilingTaskWorker(Protocol): + def set(self, task_info: ProfilingTaskCreateSchema) -> None: ... + + +class SetTask: + def __init__( + self, + unit_of_work: UnitOfWork, + dataset_repo: DatasetRepo, + task_repo: TaskRepo, + profiling_task_worker: ProfilingTaskWorker, + ): + self.unit_of_work = unit_of_work + self.dataset_repo = dataset_repo + self.task_repo = task_repo + self.profiling_task_worker = profiling_task_worker + + def __call__( + self, + *, + dataset_id: UUID, + config: OneOfTaskConfig, + ) -> UUID: + dataset_find_schema = DatasetFindSchema(id=dataset_id) + task_create_schema = TaskCreateSchema( + status=TaskStatus.CREATED, + config=config, + dataset_id=dataset_id, + ) + + with self.unit_of_work as context: + dataset = self.dataset_repo.find(dataset_find_schema, context) + if not dataset: + raise DatasetNotFoundException() + task = self.task_repo.create(task_create_schema, context) + + profiling_task_create_schema = ProfilingTaskCreateSchema( + task_id=task.id, dataset_id=dataset_id, config=config + ) + self.profiling_task_worker.set(profiling_task_create_schema) + + return task.id diff --git a/internal/usecase/task/update_task_info.py b/internal/usecase/task/update_task_info.py new file mode 100644 index 00000000..24d752fd --- /dev/null +++ b/internal/usecase/task/update_task_info.py @@ -0,0 +1,63 @@ +from typing import Protocol +from uuid import UUID + + +from internal.uow import DataStorageContext, UnitOfWork +from internal.domain.task.value_objects import TaskStatus, OneOfTaskResult +from internal.dto.repository.task import ( + TaskUpdateSchema, + TaskResponseSchema, + TaskFindSchema, +) +from internal.dto.repository.task.task import TaskNotFoundException +from internal.usecase.task.exception import ( + TaskNotFoundException as TaskNotFoundUseCaseException, +) + + +class TaskRepo(Protocol): + def update( + self, + find_schema: TaskFindSchema, + update_schema: TaskUpdateSchema, + fields_to_update_if_none: set[str] | None, + context: DataStorageContext, + ) -> TaskResponseSchema: ... + + +class UpdateTaskInfo: + def __init__( + self, + unit_of_work: UnitOfWork, + task_repo: TaskRepo, + ): + self.unit_of_work = unit_of_work + self.task_repo = task_repo + + def __call__( + self, + *, + task_id: UUID, + fields_to_update_if_none: set[str] | None = None, + task_status: TaskStatus | None = None, + result: OneOfTaskResult | None = None, + raised_exception_name: str | None = None, + failure_reason: str | None = None, + traceback: str | None = None, + ) -> None: + task_find_schema = TaskFindSchema(id=task_id) + data_to_update = TaskUpdateSchema( + status=task_status, + result=result, + raised_exception_name=raised_exception_name, + failure_reason=failure_reason, + traceback=traceback, + ) # type: ignore + + with self.unit_of_work as context: + try: + self.task_repo.update( + task_find_schema, data_to_update, fields_to_update_if_none, context + ) + except TaskNotFoundException: + raise TaskNotFoundUseCaseException() diff --git a/internal/usecase/user/__init__.py b/internal/usecase/user/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/usecase/user/exception.py b/internal/usecase/user/exception.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/worker/__init__.py b/internal/worker/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/internal/worker/celery/__init__.py b/internal/worker/celery/__init__.py new file mode 100644 index 00000000..3602016f --- /dev/null +++ b/internal/worker/celery/__init__.py @@ -0,0 +1,3 @@ +from internal.worker.celery.profiling_task_worker import ( # noqa: F401 + ProfilingTaskWorker, +) diff --git a/internal/worker/celery/profiling_task_worker.py b/internal/worker/celery/profiling_task_worker.py new file mode 100644 index 00000000..3107d22c --- /dev/null +++ b/internal/worker/celery/profiling_task_worker.py @@ -0,0 +1,11 @@ +from internal.dto.worker.task import ProfilingTaskCreateSchema +from internal.infrastructure.background_task.celery.task import profiling_task + + +class ProfilingTaskWorker: + def set(self, task_info: ProfilingTaskCreateSchema) -> None: + profiling_task.delay( + task_id=task_info.task_id, + dataset_id=task_info.dataset_id, + config=task_info.config, + ) diff --git a/poetry.lock b/poetry.lock index 13dcc6bd..2d4f5a75 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,3143 +1,3393 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. - -[[package]] -name = "aiofiles" -version = "23.2.1" -description = "File support for 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+[metadata] +lock-version = "2.0" +python-versions = "^3.12" +content-hash = "8bc60ad0e9e823656aae7fc151606f23962c48d27d3bd05dfa974785c2ff5fed" diff --git a/pyproject.toml b/pyproject.toml index b964ced1..1058923a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,8 +23,8 @@ desbordante-stubs = "^0.1.0" pandas = "^2.2.1" pandas-stubs = "^2.2.0.240218" python-multipart = "^0.0.9" -sqlalchemy-mixins = "^2.0.5" aiofiles = "^23.2.1" +cfgv = "^3.4.0" [tool.poetry.group.dev.dependencies] @@ -39,6 +39,8 @@ ipykernel = "^6.29.3" polyfactory = "^2.15.0" pyright = "^1.1.355" pytest-alembic = "^0.11.0" +pytest-mock = "^3.14.0" +pytest-asyncio = "^0.24.0" [build-system] requires = ["poetry-core"] diff --git a/tests/architecture/test_dependencies.py b/tests/architecture/test_dependencies.py new file mode 100644 index 00000000..ca845628 --- /dev/null +++ b/tests/architecture/test_dependencies.py @@ -0,0 +1,142 @@ +import os + + +def has_import_from(file_path, module_name): + """Checks whether the specified module is imported in the file.""" + with open(file_path, "r") as f: + for line in f: + if f"import {module_name}" in line or f"from {module_name}" in line: + return True + return False + + +def check_dependencies(module_path): + depends_on_domain = False + depends_on_usecase = False + depends_on_dto = False + depends_on_infrastructure = False + depends_on_repository = False + depends_on_worker = False + depends_on_rest = False + depends_on_uow = False + + for root, _, files in os.walk(module_path): + for file in files: + if file.endswith(".py"): + file_path = os.path.join(root, file) + + if has_import_from(file_path, "internal.domain"): + depends_on_domain = True + + if has_import_from(file_path, "internal.usecase"): + depends_on_usecase = True + + if has_import_from(file_path, "internal.dto"): + depends_on_dto = True + + if has_import_from(file_path, "internal.infrastructure"): + depends_on_infrastructure = True + + if has_import_from(file_path, "internal.repository"): + depends_on_repository = True + + if has_import_from(file_path, "internal.worker"): + depends_on_worker = True + + if has_import_from(file_path, "internal.rest"): + depends_on_rest = True + + if has_import_from(file_path, "internal.uow"): + depends_on_uow = True + + return { + "depends_on_domain": depends_on_domain, + "depends_on_usecase": depends_on_usecase, + "depends_on_dto": depends_on_dto, + "depends_on_infrastructure": depends_on_infrastructure, + "depends_on_repository": depends_on_repository, + "depends_on_worker": depends_on_worker, + "depends_on_rest": depends_on_rest, + "depends_on_uow": depends_on_uow, + } + + +def test_domain_is_independent(): + domain_path = "internal/domain" + domain = check_dependencies(domain_path) + + assert not domain["depends_on_usecase"] + assert not domain["depends_on_dto"] + assert not domain["depends_on_infrastructure"] + assert not domain["depends_on_repository"] + assert not domain["depends_on_worker"] + assert not domain["depends_on_rest"] + assert not domain["depends_on_uow"] + + +def test_usecase_dependencies(): + usecase_path = "internal/usecase" + usecase = check_dependencies(usecase_path) + + assert usecase["depends_on_domain"] + assert usecase["depends_on_dto"] + assert usecase["depends_on_uow"] + assert not usecase["depends_on_infrastructure"] + assert not usecase["depends_on_repository"] + assert not usecase["depends_on_worker"] + assert not usecase["depends_on_rest"] + + +def test_infrastructure_dependencies(): + infrastructure_path = "internal/infrastructure" + infrastructure = check_dependencies(infrastructure_path) + + assert infrastructure["depends_on_domain"] + assert infrastructure["depends_on_usecase"] + assert infrastructure["depends_on_dto"] + assert not infrastructure["depends_on_rest"] + + +def test_data_storage_dependencies(): + data_storage_path = "internal/infrastructure/data_storage" + data_storage = check_dependencies(data_storage_path) + + assert data_storage["depends_on_dto"] + assert not data_storage["depends_on_repository"] + assert not data_storage["depends_on_uow"] + assert not data_storage["depends_on_rest"] + + +def test_repository_dependencies(): + repository_path = "internal/repository" + repository = check_dependencies(repository_path) + + assert repository["depends_on_dto"] + assert repository["depends_on_infrastructure"] + assert not repository["depends_on_uow"] + assert not repository["depends_on_worker"] + assert not repository["depends_on_rest"] + + +def test_worker_dependencies(): + worker_path = "internal/worker" + worker = check_dependencies(worker_path) + + assert worker["depends_on_dto"] + assert worker["depends_on_infrastructure"] + assert not worker["depends_on_uow"] + assert not worker["depends_on_repository"] + assert not worker["depends_on_rest"] + + +def test_dto_dependencies(): + dto_path = "internal/dto" + dto = check_dependencies(dto_path) + + assert dto["depends_on_domain"] + assert not dto["depends_on_usecase"] + assert not dto["depends_on_infrastructure"] + assert not dto["depends_on_worker"] + assert not dto["depends_on_uow"] + assert not dto["depends_on_repository"] + assert not dto["depends_on_rest"] diff --git a/tests/conftest.py b/tests/conftest.py index 26bace98..bf2dcca4 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,36 +1,270 @@ import pytest -from pytest_alembic import Config -from sqlalchemy import create_engine +import shutil +from sqlalchemy import create_engine, NullPool from sqlalchemy.orm import sessionmaker from sqlalchemy_utils import database_exists, create_database import logging -from app.db import ORMBase -from app.settings import settings +from internal.infrastructure.data_storage.relational.model import ORMBaseModel +from internal.infrastructure.data_storage import settings, ContextMaker +from internal.infrastructure.data_storage.flat import get_flat_context_maker +from internal.repository.flat import FileRepository +from internal.repository.relational.file import ( + FileMetadataRepository, + DatasetRepository, +) +from internal.repository.relational.task import TaskRepository +from internal.worker.celery import ProfilingTaskWorker +from internal.usecase.file import ( + SaveFile, + SaveDataset, + CheckContentType, + RetrieveDataset, +) +from internal.usecase.task import RetrieveTask, SetTask, ProfileTask, UpdateTaskInfo +from internal.uow import UnitOfWork + +from internal.rest.http.file.di import ( + get_save_file_use_case, + get_save_dataset_use_case, + get_check_content_type_use_case, + get_retrieve_dataset_use_case, +) +from internal.rest.http.task.di import get_set_task_use_case, get_retrieve_task_use_case # https://stackoverflow.com/questions/61582142/test-pydantic-settings-in-fastapi # Maybe should be overriden by env vars for testing only settings.postgres_db = "desbordante-test" test_engine = create_engine(settings.postgres_dsn.unicode_string()) +test_engine_without_pool = create_engine( + settings.postgres_dsn.unicode_string(), poolclass=NullPool +) @pytest.fixture(scope="session", autouse=True) -def prepare_db(): +def prepare_postgres(): logging.info("Setup database: %s", settings.postgres_dsn.unicode_string()) if not database_exists(settings.postgres_dsn.unicode_string()): create_database(settings.postgres_dsn.unicode_string()) - ORMBase.metadata.drop_all(bind=test_engine) - ORMBase.metadata.create_all(bind=test_engine) + ORMBaseModel.metadata.drop_all(bind=test_engine) + ORMBaseModel.metadata.create_all(bind=test_engine) -@pytest.fixture(scope="session", autouse=True) -def session(): - session = sessionmaker(test_engine, expire_on_commit=False) - yield session +@pytest.fixture(scope="session") +def tmp_upload_dir(tmp_path_factory): + temp_dir = tmp_path_factory.mktemp("uploads") + + yield temp_dir + + shutil.rmtree(temp_dir) + + +@pytest.fixture(scope="session") +def postgres_context_maker(): + return sessionmaker(bind=test_engine) + + +@pytest.fixture(scope="function") +def postgres_context(postgres_context_maker): + return postgres_context_maker() + + +@pytest.fixture(scope="session") +def postgres_context_maker_without_pool(): + return sessionmaker(bind=test_engine_without_pool) + + +@pytest.fixture(scope="function") +def postgres_context_without_pool(postgres_context_maker_without_pool): + return postgres_context_maker_without_pool() + + +@pytest.fixture(scope="session") +def flat_context_maker(tmp_upload_dir): + return get_flat_context_maker(uploaded_files_dir_path=tmp_upload_dir) + + +@pytest.fixture(scope="function") +def flat_context(flat_context_maker): + return flat_context_maker() + + +@pytest.fixture( + scope="session", +) +def context_maker(postgres_context_maker, flat_context_maker): + context_maker = ContextMaker( + postgres_context_maker=postgres_context_maker, + flat_context_maker=flat_context_maker, + ) + return context_maker + + +@pytest.fixture(scope="function") +def context(context_maker): + context = context_maker() + + yield context + + context.close() + + +@pytest.fixture(scope="session") +def context_maker_without_pool(postgres_context_maker_without_pool, flat_context_maker): + context_maker = ContextMaker( + postgres_context_maker=postgres_context_maker_without_pool, + flat_context_maker=flat_context_maker, + ) + return context_maker + + +@pytest.fixture(scope="function") +def context_without_pool(context_maker_without_pool): + context = context_maker_without_pool() + + yield context + + context.close() + + +@pytest.fixture(autouse=True) +def clean_tables(postgres_context): + for table in reversed(ORMBaseModel.metadata.sorted_tables): + postgres_context.execute(table.delete()) + postgres_context.commit() + + +@pytest.fixture(autouse=True) +def clear_tmp_upload_dir(tmp_upload_dir): + yield + for item in tmp_upload_dir.iterdir(): + if item.is_file(): + item.unlink() + else: + shutil.rmtree(item) + + +@pytest.fixture(scope="session") +def unit_of_work(context_maker): + return UnitOfWork(context_maker) + + +@pytest.fixture(scope="session") +def unit_of_work_without_pool(context_maker_without_pool): + return UnitOfWork(context_maker_without_pool) + + +@pytest.fixture(scope="session") +def file_repo(): + return FileRepository() + + +@pytest.fixture(scope="session") +def file_metadata_repo(): + return FileMetadataRepository() + + +@pytest.fixture(scope="session") +def dataset_repo(): + return DatasetRepository() + + +@pytest.fixture(scope="session") +def task_repo(): + return TaskRepository() + + +@pytest.fixture(scope="session") +def check_content_type_use_case(): + return CheckContentType() + + +@pytest.fixture(scope="session") +def save_file_use_case(unit_of_work, file_repo, file_metadata_repo): + return SaveFile( + unit_of_work=unit_of_work, + file_repo=file_repo, + file_metadata_repo=file_metadata_repo, + ) + + +@pytest.fixture(scope="session") +def save_dataset_use_case(unit_of_work, dataset_repo): + return SaveDataset( + unit_of_work=unit_of_work, + dataset_repo=dataset_repo, + ) + + +@pytest.fixture(scope="session") +def retrieve_dataset_use_case(unit_of_work, dataset_repo): + return RetrieveDataset( + unit_of_work=unit_of_work, + dataset_repo=dataset_repo, + ) + + +@pytest.fixture(scope="session") +def profiling_task_worker(): + return ProfilingTaskWorker() + + +@pytest.fixture(scope="session") +def retrieve_task_use_case(unit_of_work, task_repo): + return RetrieveTask(unit_of_work=unit_of_work, task_repo=task_repo) + + +@pytest.fixture(scope="session") +def set_task_use_case(unit_of_work, task_repo, dataset_repo, profiling_task_worker): + return SetTask( + unit_of_work=unit_of_work, + task_repo=task_repo, + dataset_repo=dataset_repo, + profiling_task_worker=profiling_task_worker, + ) + + +@pytest.fixture(scope="session") +def profile_task_use_case(unit_of_work_without_pool, dataset_repo, file_repo): + return ProfileTask( + unit_of_work=unit_of_work_without_pool, + dataset_repo=dataset_repo, + file_repo=file_repo, + ) + + +@pytest.fixture(scope="session") +def update_task_info_use_case(unit_of_work_without_pool, task_repo): + return UpdateTaskInfo( + unit_of_work=unit_of_work_without_pool, + task_repo=task_repo, + ) + + +@pytest.fixture(scope="session") +def client( + save_file_use_case, + save_dataset_use_case, + check_content_type_use_case, + set_task_use_case, + retrieve_dataset_use_case, + retrieve_task_use_case, +): + from fastapi.testclient import TestClient + from internal import app + app.dependency_overrides[get_save_file_use_case] = lambda: save_file_use_case + app.dependency_overrides[get_save_dataset_use_case] = lambda: save_dataset_use_case + app.dependency_overrides[get_check_content_type_use_case] = ( + lambda: check_content_type_use_case + ) + app.dependency_overrides[get_retrieve_dataset_use_case] = ( + lambda: retrieve_dataset_use_case + ) + app.dependency_overrides[get_set_task_use_case] = lambda: set_task_use_case + app.dependency_overrides[get_retrieve_task_use_case] = ( + lambda: retrieve_task_use_case + ) -@pytest.fixture -def alembic_config(): - options = {"file": "app/settings/alembic.ini"} - return Config(config_options=options) + return TestClient(app) diff --git a/tests/datasets/university.txt b/tests/datasets/university.txt new file mode 100644 index 00000000..c3afc981 --- /dev/null +++ b/tests/datasets/university.txt @@ -0,0 +1,9 @@ +Course,Classroom,Professor,Semester +Math,512,Dr. Smith,Fall +Physics,406,Dr. Green,Fall +English,208,Prof. Turner,Fall +History,209,Prof. Davis,Fall +Math,512,Dr. Smith,Spring +Physics,503,Dr. Gray,Spring +English,116,Prof. Turner,Spring +Biology,209,Prof. Light,Spring diff --git a/tests/integration/common_requests.py b/tests/integration/common_requests.py new file mode 100644 index 00000000..50128fe5 --- /dev/null +++ b/tests/integration/common_requests.py @@ -0,0 +1,36 @@ +from fastapi.testclient import TestClient + + +def upload_csv_dataset( + client: TestClient, + file_name, + mime_type, + separator, + header, +): + file_path = f"tests/datasets/{file_name}" + + with open(file_path, "rb") as file: + form_data = { + "separator": separator, + "header": header, + "file": (file_name, file, mime_type), + } + + response = client.post( + "api/file/csv", + files={"file": form_data["file"]}, + data={ + "separator": form_data["separator"], + "header": form_data["header"], + }, + ) + + return response + + +def set_task(client: TestClient, dataset_id, config): + response = client.post( + "api/task/set", params={"dataset_id": dataset_id}, json=config.model_dump() + ) + return response diff --git a/tests/integration/test_ping.py b/tests/integration/test_ping.py new file mode 100644 index 00000000..6adbd88f --- /dev/null +++ b/tests/integration/test_ping.py @@ -0,0 +1,8 @@ +from fastapi.testclient import TestClient + + +def test_retrieve_task(client: TestClient): + response = client.get("api/common/ping") + + assert response.status_code == 200 + assert response.json() == "Pong!" diff --git a/tests/integration/test_retrieve_dataset_info.py b/tests/integration/test_retrieve_dataset_info.py new file mode 100644 index 00000000..27ce05c7 --- /dev/null +++ b/tests/integration/test_retrieve_dataset_info.py @@ -0,0 +1,39 @@ +from fastapi.testclient import TestClient +from uuid import UUID, uuid4 + +from internal.infrastructure.data_storage.relational.model.file import DatasetORM +from tests.integration.common_requests import upload_csv_dataset + + +def test_retrieve_dataset(client: TestClient, context): + file_name = "university_fd.csv" + mime_type = "text/csv" + separator = "," + header = [0] + + response = upload_csv_dataset(client, file_name, mime_type, separator, header) + assert response.status_code == 200 + + dataset_id = UUID(response.json()) + + response = client.post(f"api/file/dataset/{dataset_id}") + + assert response.status_code == 200 + + response_data = response.json() + assert response_data["id"] == str(dataset_id) + + dataset = context.postgres_context.get(DatasetORM, dataset_id) + assert dataset is not None + assert response_data["file_id"] == str(dataset.file_id) + assert response_data["separator"] == dataset.separator + assert response_data["header"] == dataset.header + + +def test_retrieve_non_existent_dataset(client: TestClient): + dataset_id = uuid4() # non existen dataset + + response = client.post(f"api/file/dataset/{dataset_id}") + + assert response.status_code == 404 + assert response.json()["detail"] == "Dataset not found" diff --git a/tests/integration/test_retrieve_task_info.py b/tests/integration/test_retrieve_task_info.py new file mode 100644 index 00000000..0b0be869 --- /dev/null +++ b/tests/integration/test_retrieve_task_info.py @@ -0,0 +1,58 @@ +import time +from fastapi.testclient import TestClient +from uuid import UUID, uuid4 + +from internal.domain.task.value_objects import FdTaskConfig, PrimitiveName +from internal.domain.task.value_objects.fd.algo_name import FdAlgoName +from internal.domain.task.value_objects.fd.algo_config import AidConfig +from internal.infrastructure.data_storage.relational.model.task import TaskORM +from tests.integration.common_requests import upload_csv_dataset, set_task + + +def test_retrieve_task(client: TestClient, context): + dataset_response = upload_csv_dataset( + client, "university_fd.csv", "text/csv", ".", [0] + ) + assert dataset_response.status_code == 200 + dataset_id = UUID(dataset_response.json()) + + algo_config = AidConfig(algo_name=FdAlgoName.Aid, is_null_equal_null=True) + task_config = FdTaskConfig(primitive_name=PrimitiveName.fd, config=algo_config) + + task_response = set_task(client, dataset_id, task_config) + assert task_response.status_code == 200 + task_id = UUID(task_response.json()) + + time.sleep(1) + + response = client.get(f"api/task/{task_id}") + assert response.status_code == 200 + + response_data = response.json() + assert response_data["dataset_id"] == str(dataset_id) + + task = context.postgres_context.get(TaskORM, task_id) + assert task is not None + assert response_data["dataset_id"] == str(task.dataset_id) + assert response_data["status"] == task.status + assert response_data["config"] == task.config + assert response_data["result"] == task.result + assert response_data["raised_exception_name"] == task.raised_exception_name + assert response_data["failure_reason"] == task.failure_reason + assert response_data["traceback"] == task.traceback + + if response_data["status"] == "completed": + assert response_data["result"] is not None + if response_data["status"] == "failure": + assert response_data["raised_exception_name"] is not None + assert response_data["failure_reason"] is not None + assert response_data["traceback"] is not None + + +def test_retrieve_non_existent_task(client: TestClient): + task_id = uuid4() # non existen task + + response = client.get(f"api/task/{task_id}") + + assert response.status_code == 404 + assert response.json()["detail"] == "Task not found" diff --git a/tests/integration/test_set_profiling_task.py b/tests/integration/test_set_profiling_task.py new file mode 100644 index 00000000..568121a8 --- /dev/null +++ b/tests/integration/test_set_profiling_task.py @@ -0,0 +1,42 @@ +from fastapi.testclient import TestClient +from uuid import UUID, uuid4 + +from internal.domain.task.value_objects import FdTaskConfig, PrimitiveName +from internal.domain.task.value_objects.fd.algo_name import FdAlgoName +from internal.domain.task.value_objects.fd.algo_config import AidConfig +from internal.infrastructure.data_storage.relational.model.task import TaskORM +from tests.integration.common_requests import upload_csv_dataset, set_task + + +def test_set_profiling_task(client: TestClient, context): + dataset_response = upload_csv_dataset( + client, "university_fd.csv", "text/csv", ".", [0] + ) + assert dataset_response.status_code == 200 + dataset_id = UUID(dataset_response.json()) + + algo_config = AidConfig(algo_name=FdAlgoName.Aid, is_null_equal_null=True) + task_config = FdTaskConfig(primitive_name=PrimitiveName.fd, config=algo_config) + + response = set_task(client, dataset_id, task_config) + + assert response.status_code == 200 + + task_id = UUID(response.json()) + + task_data = context.postgres_context.get(TaskORM, task_id) + + assert task_data is not None + assert task_data.config == task_config.model_dump() + assert task_data.dataset_id == dataset_id + + +def test_set_profiling_task_with_non_existent_dataset(client: TestClient): + dataset_id = uuid4() + algo_config = AidConfig(algo_name=FdAlgoName.Aid, is_null_equal_null=True) + task_config = FdTaskConfig(primitive_name=PrimitiveName.fd, config=algo_config) + + response = set_task(client, dataset_id, task_config) + + assert response.status_code == 404 + assert response.json()["detail"] == "Dataset not found" diff --git a/tests/integration/test_upload_dataset.py b/tests/integration/test_upload_dataset.py new file mode 100644 index 00000000..3f7aab22 --- /dev/null +++ b/tests/integration/test_upload_dataset.py @@ -0,0 +1,57 @@ +import os +import pytest +from fastapi.testclient import TestClient + +from uuid import UUID + +from internal.infrastructure.data_storage.relational.model.file import DatasetORM +from tests.integration.common_requests import upload_csv_dataset + + +@pytest.mark.asyncio +async def test_upload_csv_dataset(client: TestClient, context, tmp_upload_dir): + file_name = "university_fd.csv" + file_path = f"tests/datasets/{file_name}" + mime_type = "text/csv" + separator = "," + header = [0] + + response = upload_csv_dataset(client, file_name, mime_type, separator, header) + + assert response.status_code == 200 + + dataset_id = UUID(response.json()) + + data = context.postgres_context.get(DatasetORM, dataset_id) + assert data is not None + assert data.id == dataset_id + assert data.separator == separator + assert data.header == header + assert data.related_tasks == [] + + file = data.file_metadata + assert file.original_file_name == "university_fd.csv" + assert file.mime_type == mime_type + + saved_file_path = os.path.join(tmp_upload_dir, str(file.file_name)) + assert os.path.exists(saved_file_path) + + with open(saved_file_path, "rb") as saved_file, open( + file_path, "rb" + ) as original_file: + saved_file_content = saved_file.read() + original_file_content = original_file.read() + assert saved_file_content == original_file_content + + +@pytest.mark.asyncio +async def test_upload_csv_dataset_with_incorrect_mime_type(client: TestClient): + file_name = "university.txt" + mime_type = "text/plain" + separator = "," + header = [0] + + response = upload_csv_dataset(client, file_name, mime_type, separator, header) + + assert response.status_code == 400 + assert response.json()["detail"] == "File is not CSV" diff --git a/tests/unit/context/test_context.py b/tests/unit/context/test_context.py new file mode 100644 index 00000000..e6651dc2 --- /dev/null +++ b/tests/unit/context/test_context.py @@ -0,0 +1,122 @@ +import pytest +from pytest_mock import MockerFixture +from internal.infrastructure.data_storage.flat import ( + FlatAddModel, + FlatDeleteModel, + FlatContext, +) +from internal.infrastructure.data_storage.relational import ( + RelationalAddModel, + RelationalDeleteModel, + RelationalContextType, +) +from internal.infrastructure.data_storage import ( + Context, +) + + +@pytest.fixture +def mock_postgres_context(mocker: MockerFixture): + mock_context = mocker.Mock(spec=RelationalContextType) + mock_context.commit = mocker.Mock() + mock_context.rollback = mocker.Mock() + mock_context.close = mocker.Mock() + mock_context.flush = mocker.Mock() + mock_context.add = mocker.Mock() + mock_context.delete = mocker.Mock() + mock_context.execute = mocker.Mock() + return mock_context + + +@pytest.fixture +def mock_flat_context(mocker: MockerFixture): + mock_context = mocker.Mock(spec=FlatContext) + mock_context.commit = mocker.Mock() + mock_context.rollback = mocker.Mock() + mock_context.close = mocker.Mock() + mock_context.flush = mocker.Mock() + mock_context.add = mocker.Mock() + mock_context.delete = mocker.Mock() + mock_context.async_flush = mocker.AsyncMock() + return mock_context + + +@pytest.fixture +def context(mock_postgres_context, mock_flat_context): + return Context(mock_postgres_context, mock_flat_context) + + +def test_context_commit(context, mock_postgres_context, mock_flat_context): + context.commit() + mock_postgres_context.commit.assert_called_once() + mock_flat_context.commit.assert_called_once() + + +def test_context_rollback(context, mock_postgres_context, mock_flat_context): + context.rollback() + mock_postgres_context.rollback.assert_called_once() + mock_flat_context.rollback.assert_called_once() + + +def test_context_close(context, mock_postgres_context, mock_flat_context): + context.close() + mock_postgres_context.close.assert_called_once() + mock_flat_context.close.assert_called_once() + + +def test_context_flush(context, mock_postgres_context, mock_flat_context): + context.flush() + mock_postgres_context.flush.assert_called_once() + mock_flat_context.flush.assert_called_once() + + +@pytest.mark.asyncio +async def test_context_async_flush( + mocker: MockerFixture, context, mock_postgres_context, mock_flat_context +): + mock_flat_context.async_flush = mocker.AsyncMock() + await context.async_flush() + mock_postgres_context.flush.assert_called_once() + mock_flat_context.async_flush.assert_called_once() + mock_flat_context.flush.assert_not_called() + + +def test_context_add_relational_model( + context, mock_postgres_context, mock_flat_context +): + relational_model = RelationalAddModel() + context.add(relational_model) + mock_postgres_context.add.assert_called_once_with(relational_model) + mock_flat_context.add.assert_not_called() + + +def test_context_add_flat_model( + mocker: MockerFixture, context, mock_postgres_context, mock_flat_context +): + flat_model = FlatAddModel(file=mocker.Mock(), file_name="test_file.txt") + context.add(flat_model) + mock_flat_context.add.assert_called_once_with(flat_model) + mock_postgres_context.add.assert_not_called() + + +def test_context_delete_relational_model( + context, mock_postgres_context, mock_flat_context +): + relational_model = RelationalDeleteModel() + context.delete(relational_model) + mock_postgres_context.delete.assert_called_once_with(relational_model) + mock_flat_context.delete.assert_not_called() + + +def test_context_delete_flat_model(context, mock_postgres_context, mock_flat_context): + flat_model = FlatDeleteModel(file_name="test_file.txt") + context.delete(flat_model) + mock_flat_context.delete.assert_called_once_with(flat_model) + mock_postgres_context.add.assert_not_called() + + +def test_context_execute(context, mock_postgres_context, mock_flat_context): + query = "SELECT * FROM users" + context.execute(query) + mock_postgres_context.execute.assert_called_once_with(query) + mock_postgres_context.add.assert_not_called() diff --git a/tests/unit/context/test_flat.py b/tests/unit/context/test_flat.py new file mode 100644 index 00000000..1142d32d --- /dev/null +++ b/tests/unit/context/test_flat.py @@ -0,0 +1,114 @@ +import pytest +from pytest_mock import MockerFixture +import aiofiles +from pathlib import Path +from internal.infrastructure.data_storage.flat import FlatContext, FlatAddModel +from internal.dto.repository.file import File + + +@pytest.fixture +def tmp_upload_dir(tmp_path): + return tmp_path + + +@pytest.fixture +def flat_context(tmp_upload_dir): + return FlatContext(upload_directory_path=tmp_upload_dir) + + +@pytest.fixture +def mock_file(mocker: MockerFixture): + mock = mocker.AsyncMock(spec=File) + mock.read = mocker.AsyncMock(side_effect=[b"Hello", b" ", b"World", b""]) + return mock + + +@pytest.fixture +def mock_sync_file(mocker: MockerFixture): + mock = mocker.Mock() + mock.read.side_effect = [b"Hello World", b""] + return mock + + +@pytest.fixture +def file_name(): + return "test_file.txt" + + +@pytest.mark.asyncio +async def test_add_and_flush_file(flat_context, mock_file, file_name): + file_model = FlatAddModel(file=mock_file, file_name=file_name) + flat_context.add(file_model) + await flat_context.async_flush() + added_file_path = Path(flat_context.upload_directory_path) / file_name + assert added_file_path.exists() + async with aiofiles.open(added_file_path, "rb") as f: + content = await f.read() + assert content == b"Hello World" + + +def test_add_and_sync_flush_file(flat_context, mock_sync_file, file_name): + file_model = FlatAddModel(file=mock_sync_file, file_name=file_name) + flat_context.add(file_model) + flat_context.flush() + added_file_path = Path(flat_context.upload_directory_path) / file_name + assert added_file_path.exists() + with open(added_file_path, "rb") as f: + content = f.read() + assert content == b"Hello World" + + +@pytest.mark.asyncio +async def test_rollback_on_flush_failure( + flat_context, mock_file, file_name, mocker: MockerFixture +): + file_model = FlatAddModel(file=mock_file, file_name=file_name) + flat_context.add(file_model) + mocker.patch("aiofiles.open", side_effect=Exception("Failed to write file")) + with pytest.raises(Exception, match="Failed to write file"): + await flat_context.async_flush() + assert not Path(flat_context.upload_directory_path / file_name).exists() + + +@pytest.mark.asyncio +async def test_commit_clears_added_list(flat_context, mock_file, file_name): + file_model = FlatAddModel(file=mock_file, file_name=file_name) + flat_context.add(file_model) + await flat_context.async_flush() + flat_context.commit() + added_file_path = Path(flat_context.upload_directory_path) / file_name + assert added_file_path.exists() + assert not flat_context._added + + +@pytest.mark.asyncio +async def test_rollback_clears_files(flat_context, mock_file, file_name): + file_model = FlatAddModel(file=mock_file, file_name=file_name) + flat_context.add(file_model) + await flat_context.async_flush() + added_file_path = Path(flat_context.upload_directory_path) / file_name + assert added_file_path.exists() + flat_context.rollback() + assert not added_file_path.exists() + + +@pytest.mark.asyncio +async def test_close_without_files(flat_context): + flat_context.close() + assert flat_context._is_closed + assert flat_context._to_add == [] + assert flat_context._added == [] + + +@pytest.mark.asyncio +async def test_close_with_rollback(flat_context, mock_file, file_name): + file_model = FlatAddModel(file=mock_file, file_name=file_name) + flat_context.add(file_model) + await flat_context.async_flush() + added_file_path = Path(flat_context.upload_directory_path) / file_name + assert added_file_path.exists() + flat_context.close() + assert not added_file_path.exists() + assert flat_context._is_closed + assert flat_context._to_add == [] + assert flat_context._added == [] diff --git a/tests/unit/domain/common/test_optional_model.py b/tests/unit/domain/common/test_optional_model.py new file mode 100644 index 00000000..e67ed442 --- /dev/null +++ b/tests/unit/domain/common/test_optional_model.py @@ -0,0 +1,70 @@ +import pytest +from pydantic import ValidationError + +from internal.domain.common import OptionalModel + + +class OptionalModelWithoutRequiredFields(OptionalModel): + implicitly_optional_field: str + clearly_optional_field: str | None = None + + +@pytest.mark.parametrize( + "kwargs, expected_implicitly, expected_clearly", + [ + ({}, None, None), + ({"implicitly_optional_field": "value"}, "value", None), + ({"clearly_optional_field": "value"}, None, "value"), + ( + {"implicitly_optional_field": "value", "clearly_optional_field": "value"}, + "value", + "value", + ), + ( + {"implicitly_optional_field": "value", "clearly_optional_field": None}, + "value", + None, + ), + ], +) +def test_model_initialization(kwargs, expected_implicitly, expected_clearly): + model = OptionalModelWithoutRequiredFields(**kwargs) + + assert model.implicitly_optional_field == expected_implicitly + assert model.clearly_optional_field == expected_clearly + + +class OptionalModelWithRequiredFields(OptionalModel): + __non_optional_fields__ = { + "non_optional_field", + } + + non_optional_field: str + optional_field: str + + +@pytest.mark.parametrize( + "kwargs, expected_non_optional_field, expected_optional_field, should_fail", + [ + ({}, None, None, True), + ({"non_optional_field": "value"}, "value", None, False), + ({"optional_field": "value"}, None, "value", True), + ( + {"non_optional_field": "value", "optional_field": "value"}, + "value", + "value", + False, + ), + ({"non_optional_field": None, "optional_field": None}, None, None, True), + ], +) +def test_model_with_non_optional_fields_initialization( + kwargs, expected_non_optional_field, expected_optional_field, should_fail +): + if should_fail: + with pytest.raises(ValidationError): + OptionalModelWithRequiredFields(**kwargs) + else: + model = OptionalModelWithRequiredFields(**kwargs) + assert model.non_optional_field == expected_non_optional_field + assert model.optional_field == expected_optional_field diff --git a/tests/unit/domain/file/test_file_entity.py b/tests/unit/domain/file/test_file_entity.py new file mode 100644 index 00000000..393a3eee --- /dev/null +++ b/tests/unit/domain/file/test_file_entity.py @@ -0,0 +1,17 @@ +from uuid import UUID + +from internal.domain.file import File + + +def test_file_initialization(): + file = File() + assert isinstance(file._name, UUID) + assert isinstance(file.name, str) + assert isinstance(file.name_as_uuid, UUID) + + +def test_file_name_properties(): + file = File() + + assert file.name == str(file._name) + assert file.name_as_uuid == file._name diff --git a/tests/domain/task/test_fd.py b/tests/unit/domain/task/test_fd.py similarity index 84% rename from tests/domain/task/test_fd.py rename to tests/unit/domain/task/test_fd.py index 9e6e5c7e..0919cc3e 100644 --- a/tests/domain/task/test_fd.py +++ b/tests/unit/domain/task/test_fd.py @@ -1,11 +1,11 @@ -from app.domain.task.fd import FdTask, FdTaskConfig import pytest import pandas as pd import logging from polyfactory.factories.pydantic_factory import ModelFactory -from app.domain.task.fd.algo_name import FdAlgoName -from app.domain.task.primitive_name import PrimitiveName +from internal.domain.task import FdTask +from internal.domain.task.value_objects import FdTaskConfig, PrimitiveName +from internal.domain.task.value_objects.fd import FdAlgoName @pytest.mark.parametrize("algo_name", [algo_name.value for algo_name in FdAlgoName]) diff --git a/tests/unit/repository/flat/test_file.py b/tests/unit/repository/flat/test_file.py new file mode 100644 index 00000000..4948a17c --- /dev/null +++ b/tests/unit/repository/flat/test_file.py @@ -0,0 +1,74 @@ +from uuid import uuid4 + +import pytest +import pandas as pd +from pytest_mock import MockFixture + +from internal.dto.repository.file import ( + FileCreateSchema, + File, + FailedFileReadingException, + CSVFileFindSchema, +) +from internal.repository.flat import FileRepository + + +@pytest.fixture +def file_repository(): + return FileRepository() + + +@pytest.mark.asyncio +async def test_create_file_success(mocker: MockFixture, file_repository): + file_name = uuid4() + file_info = FileCreateSchema(file_name=file_name) + + mock_file = mocker.AsyncMock(spec=File) + mock_file.read = mocker.AsyncMock() + + mock_context = mocker.MagicMock() + mock_context.async_flush = mocker.AsyncMock() + + await file_repository.create(mock_file, file_info, mock_context) + + mock_context.add.assert_called_once() + mock_context.async_flush.assert_called_once() + + +def test_find_file_success(file_repository, context): + file_name = uuid4() + file_content = "col1,col2\n1,2\n3,4" + file_path = context.flat_context.upload_directory_path / str(file_name) + + with open(file_path, "w") as f: + f.write(file_content) + + file_info = CSVFileFindSchema(file_name=file_name, separator=",", header=[0]) + + result = file_repository.find(file_info, context) + + expected_df = pd.DataFrame({"col1": [1, 3], "col2": [2, 4]}) + pd.testing.assert_frame_equal(result, expected_df) + + +@pytest.mark.asyncio +async def test_create_file_failure(mocker: MockFixture, file_repository): + file_name = uuid4() + file_info = FileCreateSchema(file_name=file_name) + + mock_file = mocker.AsyncMock(spec=File) + + mock_context = mocker.MagicMock() + mock_context.async_flush = mocker.AsyncMock(side_effect=Exception("Read error")) + + with pytest.raises( + FailedFileReadingException, match="The sent file could not be read." + ): + await file_repository.create(mock_file, file_info, mock_context) + + +def test_find_file_failure(file_repository, context): + file_info = CSVFileFindSchema(file_name=uuid4(), separator=",", header=[0]) + + with pytest.raises(FileNotFoundError): + file_repository.find(file_info, context) diff --git a/tests/unit/repository/postgres/test_dataset.py b/tests/unit/repository/postgres/test_dataset.py new file mode 100644 index 00000000..c9abd4a6 --- /dev/null +++ b/tests/unit/repository/postgres/test_dataset.py @@ -0,0 +1,96 @@ +import pytest +from uuid import uuid4 + +from internal.repository.relational.file import ( + DatasetRepository, + FileMetadataRepository, +) +from internal.dto.repository.file import ( + DatasetCreateSchema, + DatasetFindSchema, + DatasetUpdateSchema, + FileMetadataCreateSchema, +) + + +@pytest.fixture +def file_create_schema(): + return FileMetadataCreateSchema( + file_name=uuid4(), + original_file_name="text.csv", + mime_type="text/plain", + ) + + +@pytest.fixture +def file_id(file_create_schema, postgres_context): + file_metadata_repo = FileMetadataRepository() + response = file_metadata_repo.create(file_create_schema, postgres_context) + return response.id + + +@pytest.fixture +def repo(): + return DatasetRepository() + + +@pytest.fixture +def create_schema(file_id): + return DatasetCreateSchema(file_id=file_id, separator=",", header=[0]) + + +@pytest.fixture +def update_schema(): + return DatasetUpdateSchema(separator=",", header=[1]) # type: ignore + + +class TestDatasetRepository: + def test_create(self, repo, create_schema, postgres_context): + response = repo.create(create_schema, postgres_context) + + assert response is not None + assert response.file_id == create_schema.file_id + assert response.separator == create_schema.separator + assert response.header == create_schema.header + + def test_create_and_find( + self, + repo, + create_schema, + postgres_context, + ): + empty_response = repo.find(DatasetFindSchema(id=uuid4()), postgres_context) + assert empty_response is None + + created_response = repo.create(create_schema, postgres_context) + response = repo.find( + DatasetFindSchema(id=created_response.id), postgres_context + ) + assert response is not None + assert response.file_id == create_schema.file_id + assert response.separator == create_schema.separator + assert response.header == create_schema.header + + def test_update(self, repo, create_schema, update_schema, postgres_context): + created_response = repo.create(create_schema, postgres_context) + find_schema = DatasetFindSchema(id=created_response.id) + + repo.update(find_schema, update_schema, None, postgres_context) + + response = repo.find(find_schema, postgres_context) + assert response is not None + assert response.file_id == create_schema.file_id + assert response.separator == update_schema.separator + assert response.header == update_schema.header + + def test_delete(self, repo, create_schema, postgres_context): + created_response = repo.create(create_schema, postgres_context) + find_schema = DatasetFindSchema(id=created_response.id) + + response = repo.find(find_schema, postgres_context) + assert response is not None + + repo.delete(find_schema, postgres_context) + + response = repo.find(find_schema, postgres_context) + assert response is None diff --git a/tests/unit/repository/postgres/test_file_metadata.py b/tests/unit/repository/postgres/test_file_metadata.py new file mode 100644 index 00000000..91dfd13d --- /dev/null +++ b/tests/unit/repository/postgres/test_file_metadata.py @@ -0,0 +1,82 @@ +import pytest +from uuid import uuid4 + +from internal.repository.relational.file import FileMetadataRepository +from internal.dto.repository.file import ( + FileMetadataCreateSchema, + FileMetadataFindSchema, + FileMetadataUpdateSchema, +) + + +@pytest.fixture +def repo(): + return FileMetadataRepository() + + +@pytest.fixture +def create_schema(): + return FileMetadataCreateSchema( + file_name=uuid4(), + original_file_name="text.csv", + mime_type="text/plain", + ) + + +@pytest.fixture +def update_schema(): + return FileMetadataUpdateSchema( + original_file_name="new_test.csv", + ) # type: ignore + + +class TestFileMetadataRepository: + def test_create(self, repo, create_schema, postgres_context): + response = repo.create(create_schema, postgres_context) + + assert response is not None + assert response.file_name == create_schema.file_name + assert response.original_file_name == create_schema.original_file_name + assert response.mime_type == create_schema.mime_type + + def test_create_and_find( + self, + repo, + create_schema, + postgres_context, + ): + empty_response = repo.find(FileMetadataFindSchema(id=uuid4()), postgres_context) + assert empty_response is None + + created_response = repo.create(create_schema, postgres_context) + response = repo.find( + FileMetadataFindSchema(id=created_response.id), postgres_context + ) + assert response is not None + assert response.file_name == create_schema.file_name + assert response.original_file_name == create_schema.original_file_name + assert response.mime_type == create_schema.mime_type + + def test_update(self, repo, create_schema, update_schema, postgres_context): + created_response = repo.create(create_schema, postgres_context) + find_schema = FileMetadataFindSchema(id=created_response.id) + + repo.update(find_schema, update_schema, None, postgres_context) + + response = repo.find(find_schema, postgres_context) + assert response is not None + assert response.file_name == create_schema.file_name + assert response.original_file_name == update_schema.original_file_name + assert response.mime_type == create_schema.mime_type + + def test_delete(self, repo, create_schema, postgres_context): + created_response = repo.create(create_schema, postgres_context) + find_schema = FileMetadataFindSchema(id=created_response.id) + + response = repo.find(find_schema, postgres_context) + assert response is not None + + repo.delete(find_schema, postgres_context) + + response = repo.find(find_schema, postgres_context) + assert response is None diff --git a/tests/unit/repository/postgres/test_task.py b/tests/unit/repository/postgres/test_task.py new file mode 100644 index 00000000..0ac36a21 --- /dev/null +++ b/tests/unit/repository/postgres/test_task.py @@ -0,0 +1,130 @@ +import pytest +from uuid import uuid4 + +from internal.domain.task.value_objects import TaskStatus, FdTaskConfig, PrimitiveName +from internal.domain.task.value_objects.fd import FdAlgoName +from internal.domain.task.value_objects.fd.algo_config import AidConfig +from internal.dto.repository.task import ( + TaskCreateSchema, + TaskFindSchema, + TaskUpdateSchema, +) +from internal.dto.repository.file import ( + DatasetCreateSchema, + FileMetadataCreateSchema, +) +from internal.repository.relational.file import ( + DatasetRepository, + FileMetadataRepository, +) +from internal.repository.relational.task import TaskRepository + + +@pytest.fixture +def file_create_schema(): + return FileMetadataCreateSchema( + file_name=uuid4(), + original_file_name="text.csv", + mime_type="text/plain", + ) + + +@pytest.fixture +def file_id(file_create_schema, postgres_context): + file_metadata_repo = FileMetadataRepository() + response = file_metadata_repo.create(file_create_schema, postgres_context) + return response.id + + +@pytest.fixture +def dataset_create_schema(file_id): + return DatasetCreateSchema(file_id=file_id, separator=",", header=[0]) + + +@pytest.fixture +def dataset_id(dataset_create_schema, postgres_context): + dataset_repo = DatasetRepository() + response = dataset_repo.create(dataset_create_schema, postgres_context) + return response.id + + +@pytest.fixture +def get_config(): + return FdTaskConfig( + primitive_name=PrimitiveName.fd, + config=AidConfig(algo_name=FdAlgoName.Aid, is_null_equal_null=True), + ) + + +@pytest.fixture +def repo(): + return TaskRepository() + + +@pytest.fixture +def create_schema(dataset_id, get_config): + return TaskCreateSchema( + dataset_id=dataset_id, status=TaskStatus.CREATED, config=get_config + ) + + +@pytest.fixture +def update_schema(): + return TaskUpdateSchema( + failure_reason="memory_limit_exceeded", status=TaskStatus.COMPLETED + ) # type: ignore + + +class TestDatasetRepository: + def test_create(self, repo, create_schema, postgres_context): + response = repo.create(create_schema, postgres_context) + + assert response is not None + assert response.dataset_id == create_schema.dataset_id + assert response.status == create_schema.status + assert response.config == create_schema.config + assert response.result is None + assert response.failure_reason is None + assert response.raised_exception_name is None + assert response.traceback is None + + def test_create_and_find( + self, + repo, + create_schema, + postgres_context, + ): + empty_response = repo.find(TaskFindSchema(id=uuid4()), postgres_context) + assert empty_response is None + + created_response = repo.create(create_schema, postgres_context) + response = repo.find(TaskFindSchema(id=created_response.id), postgres_context) + assert response is not None + assert response.dataset_id == create_schema.dataset_id + assert response.status == create_schema.status + assert response.config == create_schema.config + + def test_update(self, repo, create_schema, update_schema, postgres_context): + created_response = repo.create(create_schema, postgres_context) + find_schema = TaskFindSchema(id=created_response.id) + + repo.update(find_schema, update_schema, None, postgres_context) + + response = repo.find(find_schema, postgres_context) + assert response is not None + assert response.dataset_id == create_schema.dataset_id + assert response.status == update_schema.status + assert response.config == create_schema.config + assert response.failure_reason == update_schema.failure_reason + + def test_delete(self, repo, create_schema, postgres_context): + created_response = repo.create(create_schema, postgres_context) + find_schema = TaskFindSchema(id=created_response.id) + + response = repo.find(find_schema, postgres_context) + assert response is not None + + repo.delete(find_schema, postgres_context) + + response = repo.find(find_schema, postgres_context) + assert response is None diff --git a/tests/unit/uow/test_unit_of_work.py b/tests/unit/uow/test_unit_of_work.py new file mode 100644 index 00000000..542172af --- /dev/null +++ b/tests/unit/uow/test_unit_of_work.py @@ -0,0 +1,40 @@ +import pytest +from pytest_mock import MockerFixture + +from internal.uow import DataStorageContext, UnitOfWork +from internal.uow.uow import DataStorageContextMaker + + +@pytest.fixture +def context_mock(mocker: MockerFixture): + return mocker.Mock(spec=DataStorageContext) + + +@pytest.fixture +def context_maker_mock(mocker: MockerFixture, context_mock): + return mocker.Mock(spec=DataStorageContextMaker, return_value=context_mock) + + +def test_unit_of_work_commit_on_success(context_maker_mock, context_mock) -> None: + uow = UnitOfWork(context_maker_mock) + + with uow as context: + assert isinstance(context, DataStorageContext) + pass + + context_mock.commit.assert_called_once() + context_mock.rollback.assert_not_called() + context_mock.close.assert_called_once() + + +def test_unit_of_work_rollback_on_failure(context_maker_mock, context_mock) -> None: + uow = UnitOfWork(context_maker_mock) + + with pytest.raises(ValueError): + with uow as context: + assert isinstance(context, DataStorageContext) + raise ValueError("Test error") + + context_mock.commit.assert_not_called() + context_mock.rollback.assert_called_once() + context_mock.close.assert_called_once() diff --git a/tests/unit/usecase/test_check_content_type.py b/tests/unit/usecase/test_check_content_type.py new file mode 100644 index 00000000..1d8eb0ce --- /dev/null +++ b/tests/unit/usecase/test_check_content_type.py @@ -0,0 +1,37 @@ +from typing import Type + +import pytest +from pytest_mock import MockerFixture + +from internal.dto.repository.file import File +from internal.usecase.file import CheckContentType +from internal.usecase.file.exception import IncorrectFileFormatException + + +@pytest.fixture +def check_content_type() -> CheckContentType: + return CheckContentType() + + +@pytest.mark.parametrize( + "content_type, expected_exception", + [ + ("text/csv", None), + ("application/json", IncorrectFileFormatException), + ("", IncorrectFileFormatException), + ], +) +def test_check_content_type( + check_content_type: CheckContentType, + mocker: MockerFixture, + content_type: str, + expected_exception: Type[IncorrectFileFormatException] | None, +): + upload_file = mocker.Mock(spec=File) + upload_file.content_type = content_type + + if expected_exception: + with pytest.raises(expected_exception): + check_content_type(upload_file=upload_file) + else: + check_content_type(upload_file=upload_file) diff --git a/tests/unit/usecase/test_profile_task.py b/tests/unit/usecase/test_profile_task.py new file mode 100644 index 00000000..2a332c46 --- /dev/null +++ b/tests/unit/usecase/test_profile_task.py @@ -0,0 +1,189 @@ +from uuid import uuid4 + +import pandas as pd +import pytest +from pytest_mock import MockerFixture + +from internal.uow import DataStorageContext +from internal.domain.task.value_objects import FdTaskConfig, PrimitiveName, FdTaskResult +from internal.domain.task.value_objects.fd import FdAlgoResult +from internal.domain.task.value_objects.fd.algo_config import AidConfig +from internal.usecase.task.profile_task import DatasetRepo, FileRepo, ProfileTask +from internal.usecase.file.exception import ( + DatasetNotFoundException as DatasetNotFoundUseCaseException, +) +from internal.usecase.file.exception import ( + FileMetadataNotFoundException as FileMetadataNotFoundUseCaseException, +) +from internal.dto.repository.file import ( + FileMetadataResponseSchema, + DatasetResponseSchema, + DatasetFindSchema, + CSVFileFindSchema, + DatasetNotFoundException, + FileMetadataNotFoundException, +) + + +@pytest.fixture +def unit_of_work_mock(mocker: MockerFixture): + mock = mocker.MagicMock() + mock.__enter__.return_value = mocker.Mock( + return_value=mocker.Mock(), spec=DataStorageContext + ) + mock.__exit__.return_value = None + + def exit_side_effect(exc_type, exc_value, traceback) -> bool: + if exc_type: + raise exc_value + return False + + mock.__exit__.side_effect = exit_side_effect + return mock + + +@pytest.fixture +def dataset_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=DatasetRepo) + return mock + + +@pytest.fixture +def file_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=FileRepo) + return mock + + +@pytest.fixture +def profile_task_use_case( + unit_of_work_mock, + dataset_repo_mock, + file_repo_mock, +) -> ProfileTask: + return ProfileTask( + unit_of_work=unit_of_work_mock, + dataset_repo=dataset_repo_mock, + file_repo=file_repo_mock, + ) + + +def test_profile_task_use_case_success( + mocker: MockerFixture, + profile_task_use_case, + unit_of_work_mock, + dataset_repo_mock, + file_repo_mock, +) -> None: + # Prepare data + dataset_id = uuid4() + file_id = uuid4() + + file_metadata_response = FileMetadataResponseSchema( + id=file_id, + file_name=uuid4(), + original_file_name="name", + mime_type="application/octet-stream", + ) + + dataset_response = DatasetResponseSchema( + id=dataset_id, + file_id=file_id, + separator=",", + header=[0], + ) + + cvs_file_read_response = pd.DataFrame( + {"column1": [1, 2, 3], "column2": ["a", "b", "c"]} + ) + + aid_config = AidConfig(algo_name="aid") # type: ignore + task_config = FdTaskConfig(primitive_name=PrimitiveName.fd, config=aid_config) + + task_result = FdTaskResult( + primitive_name=PrimitiveName.fd, result=FdAlgoResult(fds=[]) + ) + + # Mocks + dataset_repo_mock.find_with_file_metadata.return_value = ( + dataset_response, + file_metadata_response, + ) + file_repo_mock.find.return_value = cvs_file_read_response + + # Mock the execution of the task + task_mock = mocker.Mock() + task_mock.execute.return_value = task_result + mocker.patch( + "internal.usecase.task.profile_task.match_task_by_primitive_name", + return_value=task_mock, + ) + + # Act + result = profile_task_use_case(dataset_id=dataset_id, config=task_config) + + # Check result + assert task_result == result + + # Check that all methods were called correctly + dataset_repo_mock.find_with_file_metadata.assert_called_once_with( + DatasetFindSchema(id=dataset_id), + unit_of_work_mock.__enter__.return_value, + ) + + file_repo_mock.find.assert_called_once_with( + CSVFileFindSchema( + file_name=file_metadata_response.file_name, + separator=dataset_response.separator, + header=dataset_response.header, + ), + unit_of_work_mock.__enter__.return_value, + ) + + task_mock.execute.assert_called_once_with( + table=cvs_file_read_response, task_config=task_config + ) + + # Verify that UnitOfWork was used correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() + + +@pytest.mark.parametrize( + "repo_exception, use_case_exception", + [ + (DatasetNotFoundException, DatasetNotFoundUseCaseException), + (FileMetadataNotFoundException, FileMetadataNotFoundUseCaseException), + ], +) +def test_profile_task_use_case_dataset_not_found( + profile_task_use_case, + unit_of_work_mock, + dataset_repo_mock, + file_repo_mock, + repo_exception, + use_case_exception, +) -> None: + # Prepare data + dataset_id = uuid4() + + aid_config = AidConfig(algo_name="aid") # type: ignore + task_config = FdTaskConfig(primitive_name=PrimitiveName.fd, config=aid_config) + + # Mocks + dataset_repo_mock.find_with_file_metadata.side_effect = repo_exception + + # Act and except error + with pytest.raises(use_case_exception): + profile_task_use_case(dataset_id=dataset_id, config=task_config) + + # Check that all methods were called correctly + dataset_repo_mock.find_with_file_metadata.assert_called_once_with( + DatasetFindSchema(id=dataset_id), + unit_of_work_mock.__enter__.return_value, + ) + + assert not file_repo_mock.find.called + + # Verify that UnitOfWork was used correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() diff --git a/tests/unit/usecase/test_retrieve_dataset.py b/tests/unit/usecase/test_retrieve_dataset.py new file mode 100644 index 00000000..42edb472 --- /dev/null +++ b/tests/unit/usecase/test_retrieve_dataset.py @@ -0,0 +1,99 @@ +from uuid import uuid4 + +import pytest +from pytest_mock import MockerFixture + +from internal.dto.repository.file import DatasetResponseSchema, DatasetFindSchema +from internal.uow import DataStorageContext +from internal.usecase.file.exception import DatasetNotFoundException +from internal.usecase.file.retrieve_dataset import ( + DatasetRepo, + RetrieveDataset, + RetrieveDatasetUseCaseResult, +) + + +@pytest.fixture +def unit_of_work_mock(mocker: MockerFixture): + mock = mocker.MagicMock() + mock.__enter__.return_value = mocker.Mock( + return_value=mocker.Mock(), spec=DataStorageContext + ) + mock.__exit__.return_value = None + + def exit_side_effect(exc_type, exc_value, traceback) -> bool: + if exc_type: + raise exc_value + return False + + mock.__exit__.side_effect = exit_side_effect + return mock + + +@pytest.fixture +def dataset_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=DatasetRepo) + return mock + + +@pytest.fixture +def retrieve_dataset_use_case(unit_of_work_mock, dataset_repo_mock): + return RetrieveDataset( + unit_of_work=unit_of_work_mock, dataset_repo=dataset_repo_mock + ) + + +def test_retrieve_dataset_use_case_success( + unit_of_work_mock, + dataset_repo_mock, + retrieve_dataset_use_case, +): + # Prepare data + dataset_id = uuid4() + file_id = uuid4() + + dataset_repo_mock.find.return_value = DatasetResponseSchema( + id=dataset_id, file_id=file_id, separator="?", header=[1, 2, 3, 4, 5] + ) + + # Act + result = retrieve_dataset_use_case(dataset_id=dataset_id) + + # Check result + assert result == RetrieveDatasetUseCaseResult( + id=dataset_id, file_id=file_id, separator="?", header=[1, 2, 3, 4, 5] + ) + + # Check that repositories' find method work correctly + dataset_repo_mock.find.assert_called_once_with( + DatasetFindSchema(id=dataset_id), unit_of_work_mock.__enter__.return_value + ) + + # Check that UnitOfWork was entered and exited correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() + + +def test_retrieve_dataset_use_case_not_found( + unit_of_work_mock, + retrieve_dataset_use_case, + dataset_repo_mock, +): + # Prepare data + dataset_id = uuid4() + + # Mocks repository operations + dataset_repo_mock.find.return_value = None + + # Act and except error + with pytest.raises(DatasetNotFoundException): + retrieve_dataset_use_case(dataset_id=dataset_id) + + # Check that repositories' find method work correctly + dataset_repo_mock.find.assert_called_once_with( + DatasetFindSchema(id=dataset_id), unit_of_work_mock.__enter__.return_value + ) + + # Check that UnitOfWork was entered and exited correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() diff --git a/tests/unit/usecase/test_retrieve_task.py b/tests/unit/usecase/test_retrieve_task.py new file mode 100644 index 00000000..a2cb3fe9 --- /dev/null +++ b/tests/unit/usecase/test_retrieve_task.py @@ -0,0 +1,114 @@ +from uuid import uuid4 + +import pytest +from pytest_mock import MockerFixture + +from internal.domain.task.value_objects import PrimitiveName, TaskStatus, FdTaskResult +from internal.domain.task.value_objects.fd import FdAlgoResult, FdTaskConfig +from internal.domain.task.value_objects.fd.algo_config import AidConfig +from internal.dto.repository.task import ( + TaskResponseSchema, + TaskFindSchema, +) +from internal.uow import DataStorageContext +from internal.usecase.task.exception import TaskNotFoundException +from internal.usecase.task.retrieve_task import ( + RetrieveTask, + TaskRepo, + RetrieveTaskUseCaseResult, +) + + +@pytest.fixture +def unit_of_work_mock(mocker: MockerFixture): + mock = mocker.MagicMock() + mock.__enter__.return_value = mocker.Mock( + return_value=mocker.Mock(), spec=DataStorageContext + ) + mock.__exit__.return_value = mocker.Mock(return_value=None) + return mock + + +@pytest.fixture +def task_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=TaskRepo) + return mock + + +@pytest.fixture +def retrieve_task_use_case(unit_of_work_mock, task_repo_mock): + return RetrieveTask(unit_of_work=unit_of_work_mock, task_repo=task_repo_mock) + + +def test_retrieve_task_use_case_success( + unit_of_work_mock, + task_repo_mock, + retrieve_task_use_case, +): + # Prepare data + task_id = uuid4() + dataset_id = uuid4() + + aid_config = AidConfig(algo_name="aid") # type: ignore + task_config = FdTaskConfig(primitive_name=PrimitiveName.fd, config=aid_config) + task_result = FdTaskResult( + primitive_name=PrimitiveName.fd, result=FdAlgoResult(fds=[]) + ) + + task_repo_mock.find.return_value = TaskResponseSchema( + id=task_id, + status=TaskStatus.COMPLETED, + config=task_config, + result=task_result, + dataset_id=dataset_id, + created_at=None, + updated_at=None, + ) + + # Act + result = retrieve_task_use_case(task_id=task_id) + + # Check result + assert result == RetrieveTaskUseCaseResult( + task_id=task_id, + status=TaskStatus.COMPLETED, + config=task_config, + result=task_result, + dataset_id=dataset_id, + raised_exception_name=None, + failure_reason=None, + traceback=None, + created_at=None, + updated_at=None, + ) + + # Check that repositories' find method work correctly + task_repo_mock.find.assert_called_once_with( + TaskFindSchema(id=task_id), unit_of_work_mock.__enter__.return_value + ) + + # Check that UnitOfWork was entered and exited correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() + + +def test_retrieve_task_use_case_not_found( + unit_of_work_mock, + retrieve_task_use_case, + task_repo_mock, +): + task_id = uuid4() + + task_repo_mock.find.return_value = None + + with pytest.raises(TaskNotFoundException): + retrieve_task_use_case(task_id=task_id) + + # Check that repositories' find method work correctly + task_repo_mock.find.assert_called_once_with( + TaskFindSchema(id=task_id), unit_of_work_mock.__enter__.return_value + ) + + # Check that UnitOfWork was entered and exited correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() diff --git a/tests/unit/usecase/test_save_dataset.py b/tests/unit/usecase/test_save_dataset.py new file mode 100644 index 00000000..46a66684 --- /dev/null +++ b/tests/unit/usecase/test_save_dataset.py @@ -0,0 +1,61 @@ +from uuid import uuid4 + +import pytest +from pytest_mock import MockerFixture + +from internal.dto.repository.file import DatasetResponseSchema, DatasetCreateSchema +from internal.uow import DataStorageContext +from internal.usecase.file.save_dataset import DatasetRepo, SaveDataset + + +@pytest.fixture +def unit_of_work_mock(mocker: MockerFixture): + mock = mocker.MagicMock() + mock.__enter__.return_value = mocker.Mock( + return_value=mocker.Mock(), spec=DataStorageContext + ) + mock.__exit__.return_value = mocker.Mock(return_value=None) + return mock + + +@pytest.fixture +def dataset_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=DatasetRepo) + return mock + + +@pytest.fixture +def save_dataset(unit_of_work_mock, dataset_repo_mock): + return SaveDataset(unit_of_work=unit_of_work_mock, dataset_repo=dataset_repo_mock) + + +def test_save_dataset( + save_dataset, + unit_of_work_mock, + dataset_repo_mock, +) -> None: + # Prepare data + file_id = uuid4() + dataset_id = uuid4() + separator = "?" + header = [1, 2, 3] + + dataset_repo_mock.create.return_value = DatasetResponseSchema( + id=dataset_id, file_id=file_id, separator=separator, header=header + ) + + # Act + result_id = save_dataset(file_id=file_id, separator=separator, header=header) + + # Check that the create method was called with the correct arguments + dataset_repo_mock.create.assert_called_once_with( + DatasetCreateSchema(file_id=file_id, separator=separator, header=header), + unit_of_work_mock.__enter__.return_value, + ) + + # Check that UnitOfWork was entered and exited correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() + + # Verify that the result of the use case matches the expected dataset_id + assert result_id == dataset_id diff --git a/tests/unit/usecase/test_save_file.py b/tests/unit/usecase/test_save_file.py new file mode 100644 index 00000000..7b6eb97c --- /dev/null +++ b/tests/unit/usecase/test_save_file.py @@ -0,0 +1,176 @@ +from datetime import datetime +from uuid import uuid4 + +import pytest +from pytest_mock import MockerFixture + +from internal.domain.file import File as FileEntity +from internal.dto.repository.file import ( + FileMetadataResponseSchema, + File, + FileMetadataCreateSchema, + FileCreateSchema, + FailedFileReadingException, +) +from internal.uow import DataStorageContext +from internal.usecase.file.exception import FailedReadFileException +from internal.usecase.file.save_file import ( + FileMetadataRepo, + FileRepo, + SaveFile, + SaveFileUseCaseResult, +) + + +@pytest.fixture +def unit_of_work_mock(mocker: MockerFixture): + mock = mocker.MagicMock() + mock.__enter__.return_value = mocker.Mock( + return_value=mocker.Mock(), spec=DataStorageContext + ) + mock.__exit__.return_value = None + + def exit_side_effect(exc_type, exc_value, traceback) -> bool: + if exc_type: + raise exc_value + return False + + mock.__exit__.side_effect = exit_side_effect + return mock + + +@pytest.fixture +def file_entity_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=FileEntity) + mock.name_as_uuid = uuid4() + mock.name = str(mock.name_as_uuid) + return mock + + +@pytest.fixture +def file_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=FileRepo) + return mock + + +@pytest.fixture +def file_metadata_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=FileMetadataRepo) + return mock + + +@pytest.fixture +def save_file( + mocker: MockerFixture, + unit_of_work_mock, + file_repo_mock, + file_metadata_repo_mock, + file_entity_mock, +) -> SaveFile: + mocker.patch( + "internal.usecase.file.save_file.FileEntity", return_value=file_entity_mock + ) + return SaveFile( + unit_of_work=unit_of_work_mock, + file_repo=file_repo_mock, + file_metadata_repo=file_metadata_repo_mock, + ) + + +@pytest.mark.asyncio +async def test_save_file( + mocker: MockerFixture, + save_file, + unit_of_work_mock, + file_repo_mock, + file_metadata_repo_mock, + file_entity_mock, +) -> None: + # Prepare data + file_id = uuid4() + file_name = file_entity_mock.name_as_uuid + original_file_name = "example.txt" + mime_type = "text/plain" + created_at = datetime.now() + updated_at = datetime.now() + + # Make mocks for entities and repositories responses + file_metadata_response = FileMetadataResponseSchema( + id=file_id, + file_name=file_name, + original_file_name=original_file_name, + mime_type=mime_type, + created_at=created_at, + updated_at=updated_at, + ) + + file_repo_mock.create.return_value = None + file_metadata_repo_mock.create.return_value = file_metadata_response + + upload_file_mock = mocker.Mock(spec=File) + upload_file_mock.filename = original_file_name + upload_file_mock.content_type = mime_type + + # Act + result = await save_file(upload_file=upload_file_mock) + + # Check that the repositories' create methods were called with the correct arguments + file_metadata_repo_mock.create.assert_called_once_with( + FileMetadataCreateSchema( + file_name=file_name, + original_file_name=original_file_name, + mime_type=mime_type, + ), + unit_of_work_mock.__enter__.return_value, + ) + + file_repo_mock.create.assert_called_once_with( + upload_file_mock, + FileCreateSchema(file_name=file_name), + unit_of_work_mock.__enter__.return_value, + ) + + # Verify that UnitOfWork was used correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() + + # Verify that the result matches the expected SaveFileUseCaseResult + assert result == SaveFileUseCaseResult( + id=file_id, + file_name=file_name, + original_file_name=original_file_name, + mime_type=mime_type, + created_at=created_at, + updated_at=updated_at, + ) + + +@pytest.mark.asyncio +async def test_save_file_failed_read_file_exception( + mocker: MockerFixture, + save_file, + unit_of_work_mock, + file_repo_mock, + file_metadata_repo_mock, + file_entity_mock, +) -> None: + # Prepare the mock to raise the exception + file_repo_mock.create.side_effect = FailedFileReadingException( + "File reading failed" + ) + + upload_file_mock = mocker.Mock(spec=File) + upload_file_mock.filename = "example.txt" + upload_file_mock.content_type = "text/plain" + + # Act & Assert + with pytest.raises(FailedReadFileException, match="File reading failed"): + await save_file(upload_file=upload_file_mock) + + # Check that the repositories' create methods were called + file_metadata_repo_mock.create.assert_called_once() + file_repo_mock.create.assert_called_once() + + # Verify that UnitOfWork was used correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() diff --git a/tests/unit/usecase/test_set_task.py b/tests/unit/usecase/test_set_task.py new file mode 100644 index 00000000..dbf761b3 --- /dev/null +++ b/tests/unit/usecase/test_set_task.py @@ -0,0 +1,180 @@ +from datetime import datetime, timezone +from uuid import uuid4 + +import pytest +from pytest_mock import MockerFixture + +from internal.domain.task.value_objects import PrimitiveName, TaskStatus, FdTaskConfig +from internal.domain.task.value_objects.fd.algo_config import AidConfig +from internal.dto.repository.file import ( + DatasetResponseSchema, + DatasetFindSchema, +) +from internal.dto.repository.task import ( + TaskResponseSchema, + TaskCreateSchema, +) +from internal.dto.worker.task import ProfilingTaskCreateSchema +from internal.uow import DataStorageContext +from internal.usecase.file.exception import DatasetNotFoundException +from internal.usecase.task.set_task import ( + SetTask, + DatasetRepo, + TaskRepo, + ProfilingTaskWorker, +) + + +@pytest.fixture +def unit_of_work_mock(mocker: MockerFixture): + mock = mocker.MagicMock() + mock.__enter__.return_value = mocker.Mock( + return_value=mocker.Mock(), spec=DataStorageContext + ) + mock.__exit__.return_value = None + + def exit_side_effect(exc_type, exc_value, traceback) -> bool: + if exc_type: + raise exc_value + return False + + mock.__exit__.side_effect = exit_side_effect + return mock + + +@pytest.fixture +def dataset_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=DatasetRepo) + return mock + + +@pytest.fixture +def task_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=TaskRepo) + return mock + + +@pytest.fixture +def profiling_task_worker(mocker: MockerFixture): + mock = mocker.Mock(spec=ProfilingTaskWorker) + return mock + + +@pytest.fixture +def set_task_use_case( + unit_of_work_mock, + dataset_repo_mock, + task_repo_mock, + profiling_task_worker, +): + return SetTask( + unit_of_work=unit_of_work_mock, + dataset_repo=dataset_repo_mock, + task_repo=task_repo_mock, + profiling_task_worker=profiling_task_worker, + ) + + +def test_set_task_use_case_success( + set_task_use_case, + unit_of_work_mock, + dataset_repo_mock, + task_repo_mock, + profiling_task_worker, +) -> None: + # Prepare data + dataset_id = uuid4() + task_id = uuid4() + aid_config = AidConfig(algo_name="aid") # type: ignore + task_config = FdTaskConfig(primitive_name=PrimitiveName.fd, config=aid_config) + + # Mocks repo methods + dataset_repo_mock.find.return_value = DatasetResponseSchema( + id=dataset_id, + file_id=uuid4(), + separator="", + header=[], + created_at=datetime.now(timezone.utc), + updated_at=datetime.now(timezone.utc), + ) + task_repo_mock.create.return_value = TaskResponseSchema( + id=task_id, + status=TaskStatus.CREATED, + config=task_config, + dataset_id=dataset_id, + created_at=datetime.now(timezone.utc), + updated_at=datetime.now(timezone.utc), + ) + + # Act + result = set_task_use_case(dataset_id=dataset_id, config=task_config) + + # Check that result is correct task identifier + assert result == task_id + + # Check that all methods inside the use case were called correctly + dataset_repo_mock.find.assert_called_once_with( + DatasetFindSchema( + id=dataset_id, + ), + unit_of_work_mock.__enter__.return_value, + ) + + task_repo_mock.create.assert_called_once_with( + TaskCreateSchema( + status=TaskStatus.CREATED, + config=task_config, + dataset_id=dataset_id, + ), + unit_of_work_mock.__enter__.return_value, + ) + + profiling_task_worker.set.assert_called_once_with( + ProfilingTaskCreateSchema( + task_id=task_id, + dataset_id=dataset_id, + config=task_config, + ) + ) + + # Check that UnitOfWork was entered and exited correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() + + +def test_set_task_use_case_dataset_not_found( + set_task_use_case, + unit_of_work_mock, + dataset_repo_mock, + task_repo_mock, + profiling_task_worker, +): + # Prepare data + dataset_id = uuid4() + aid_config = AidConfig(algo_name="aid") # type: ignore + task_config = FdTaskConfig(primitive_name=PrimitiveName.fd, config=aid_config) + + # Mocks repo methods + dataset_repo_mock.find.return_value = None + + # Act and except error + with pytest.raises(DatasetNotFoundException): + set_task_use_case( + dataset_id=dataset_id, + config=task_config, + ) + + # Check that all methods inside the use case were called correctly + dataset_repo_mock.find.assert_called_once_with( + DatasetFindSchema( + id=dataset_id, + ), + unit_of_work_mock.__enter__.return_value, + ) + + assert not task_repo_mock.create.called + assert not profiling_task_worker.set.called + + # Check that UnitOfWork was entered and exited correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() diff --git a/tests/unit/usecase/test_update_task_info.py b/tests/unit/usecase/test_update_task_info.py new file mode 100644 index 00000000..fe7a0e1c --- /dev/null +++ b/tests/unit/usecase/test_update_task_info.py @@ -0,0 +1,99 @@ +import pytest +from uuid import uuid4 +from pytest_mock import MockerFixture +from internal.domain.task.value_objects import TaskStatus +from internal.dto.repository.task import TaskUpdateSchema, TaskFindSchema +from internal.dto.repository.task.task import TaskNotFoundException +from internal.uow import DataStorageContext +from internal.usecase.task.update_task_info import TaskRepo, UpdateTaskInfo +from internal.usecase.task.exception import ( + TaskNotFoundException as TaskNotFoundUseCaseException, +) + + +@pytest.fixture +def unit_of_work_mock(mocker: MockerFixture): + mock = mocker.MagicMock() + mock.__enter__.return_value = mocker.Mock(spec=DataStorageContext) + mock.__exit__.return_value = mocker.Mock() + + def exit_side_effect(exc_type, exc_value, traceback) -> bool: + if exc_type: + raise exc_value + return False + + mock.__exit__.side_effect = exit_side_effect + return mock + + +@pytest.fixture +def task_repo_mock(mocker: MockerFixture): + mock = mocker.Mock(spec=TaskRepo) + mock.update = mocker.Mock() + return mock + + +@pytest.fixture +def update_task_info_use_case(unit_of_work_mock, task_repo_mock) -> UpdateTaskInfo: + return UpdateTaskInfo( + unit_of_work=unit_of_work_mock, + task_repo=task_repo_mock, + ) + + +def test_update_task_info_success( + update_task_info_use_case, + unit_of_work_mock, + task_repo_mock, +) -> None: + # Prepare data + task_id = uuid4() + task_status = TaskStatus.RUNNING + + find_schema = TaskFindSchema(id=task_id) + update_schema = TaskUpdateSchema(status=task_status) # type: ignore + + # Act + update_task_info_use_case( + task_id=task_id, task_status=task_status, fields_to_update_if_none=None + ) + + # Check that all repository methods were called correctly + task_repo_mock.update.assert_called_once_with( + find_schema, update_schema, None, unit_of_work_mock.__enter__.return_value + ) + + # Check that UnitOfWork was entered and exited correctly + unit_of_work_mock.__enter__.assert_called_once() + unit_of_work_mock.__exit__.assert_called_once() + + +@pytest.mark.parametrize( + "repo_exception, use_case_exception", + [ + (TaskNotFoundException, TaskNotFoundUseCaseException), + ], +) +def test_update_task_info_unsuccess( + update_task_info_use_case, + unit_of_work_mock, + task_repo_mock, + repo_exception, + use_case_exception, +) -> None: + # Prepare data + task_id = uuid4() + + # Mocks + task_repo_mock.update.side_effect = repo_exception + + # Act and except error + with pytest.raises(use_case_exception): + update_task_info_use_case(task_id=task_id) + + task_repo_mock.update.assert_called_once_with( + TaskFindSchema(id=task_id), + TaskUpdateSchema(), # type: ignore + None, + unit_of_work_mock.__enter__.return_value, + )