コード例 #1
0
ファイル: service.py プロジェクト: umihui/BentoML
 def get_bento_service_metadata_pb(self):
     return SavedBundleConfig(self).get_bento_service_metadata_pb()
コード例 #2
0
ファイル: bundler.py プロジェクト: jloehel/BentoML
def _write_bento_content_to_dir(bento_service, path):
    if not os.path.exists(path):
        raise BentoMLException("Directory '{}' not found".format(path))

    for artifact in bento_service.artifacts.get_artifact_list():
        if not artifact.packed:
            logger.warning(
                "Missing declared artifact '%s' for BentoService '%s'",
                artifact.name,
                bento_service.name,
            )
    module_base_path = os.path.join(path, bento_service.name)
    try:
        os.mkdir(module_base_path)
    except FileExistsError:
        raise BentoMLException(
            f"Existing module file found for BentoService {bento_service.name}"
        )

    # write README.md with custom BentoService's docstring if presented
    saved_bundle_readme = DEFAULT_SAVED_BUNDLE_README.format(
        bento_service.name, bento_service.version
    )
    if bento_service.__class__.__doc__:
        saved_bundle_readme += "\n"
        saved_bundle_readme += bento_service.__class__.__doc__.strip()

    with open(os.path.join(path, "README.md"), "w") as f:
        f.write(saved_bundle_readme)

    # save all model artifacts to 'base_path/name/artifacts/' directory
    bento_service.artifacts.save(module_base_path)

    # write conda environment, requirement.txt
    bento_service.env.infer_pip_packages(bento_service)
    bento_service.env.save(path)

    # Copy all local python modules used by the module containing the `bento_service`'s
    # class definition to saved bundle directory
    module_name, module_file = copy_local_py_modules(
        bento_service.__class__.__module__, os.path.join(path, bento_service.name)
    )

    # create __init__.py
    with open(os.path.join(path, bento_service.name, "__init__.py"), "w") as f:
        f.write(
            INIT_PY_TEMPLATE.format(
                service_name=bento_service.name,
                module_name=module_name,
                pypi_package_version=bento_service.version,
            )
        )

    # write setup.py, this make saved BentoService bundle pip installable
    setup_py_content = BENTO_SERVICE_BUNDLE_SETUP_PY_TEMPLATE.format(
        name=bento_service.name,
        pypi_package_version=bento_service.version,
        long_description=saved_bundle_readme,
    )
    with open(os.path.join(path, "setup.py"), "w") as f:
        f.write(setup_py_content)

    with open(os.path.join(path, "MANIFEST.in"), "w") as f:
        f.write(MANIFEST_IN_TEMPLATE.format(service_name=bento_service.name))

    # write Dockerfile
    logger.debug("Using Docker Base Image %s", bento_service._env._docker_base_image)
    with open(os.path.join(path, "Dockerfile"), "w") as f:
        f.write(
            MODEL_SERVER_DOCKERFILE_CPU.format(
                docker_base_image=bento_service._env._docker_base_image
            )
        )

    # copy custom web_static_content if enabled
    if bento_service.web_static_content:
        src_web_static_content_dir = os.path.join(
            os.getcwd(), bento_service.web_static_content
        )
        if not os.path.isdir(src_web_static_content_dir):
            raise BentoMLException(
                f'web_static_content directory {src_web_static_content_dir} not found'
            )
        dest_web_static_content_dir = os.path.join(
            module_base_path, 'web_static_content'
        )
        shutil.copytree(src_web_static_content_dir, dest_web_static_content_dir)

    # Copy docker-entrypoint.sh
    docker_entrypoint_sh_file_src = os.path.join(
        os.path.dirname(__file__), "docker-entrypoint.sh"
    )
    docker_entrypoint_sh_file_dst = os.path.join(path, "docker-entrypoint.sh")
    shutil.copyfile(docker_entrypoint_sh_file_src, docker_entrypoint_sh_file_dst)
    # chmod +x docker-entrypoint.sh
    st = os.stat(docker_entrypoint_sh_file_dst)
    os.chmod(docker_entrypoint_sh_file_dst, st.st_mode | stat.S_IEXEC)

    # copy bentoml-init.sh for install targz bundles
    bentoml_init_sh_file_src = os.path.join(
        os.path.dirname(__file__), "bentoml-init.sh"
    )
    bentoml_init_sh_file_dst = os.path.join(path, "bentoml-init.sh")
    shutil.copyfile(bentoml_init_sh_file_src, bentoml_init_sh_file_dst)
    # chmod +x bentoml_init_script file
    st = os.stat(bentoml_init_sh_file_dst)
    os.chmod(bentoml_init_sh_file_dst, st.st_mode | stat.S_IEXEC)

    # write bentoml.yml
    config = SavedBundleConfig(bento_service)
    config["metadata"].update({"module_name": module_name, "module_file": module_file})

    config.write_to_path(path)
    # Also write bentoml.yml to module base path to make it accessible
    # as package data after pip installed as a python package
    config.write_to_path(module_base_path)

    bundled_pip_dependencies_path = os.path.join(path, 'bundled_pip_dependencies')
    _bundle_local_bentoml_if_installed_from_source(bundled_pip_dependencies_path)
コード例 #3
0
def save_to_dir(bento_service, path, version=None, silent=False):
    """Save given BentoService along with all its artifacts, source code and
    dependencies to target file path, assuming path exist and empty. If target path
    is not empty, this call may override existing files in the given path.

    :param bento_service (bentoml.service.BentoService): a Bento Service instance
    :param path (str): Destination of where the bento service will be saved
    :param version (str): Override the service version with given version string
    :param silent (boolean): whether to hide the log message showing target save path
    """
    track_save(bento_service)

    from bentoml.service import BentoService

    if not isinstance(bento_service, BentoService):
        raise BentoMLException(
            "save_to_dir only work with instance of custom BentoService class"
        )

    if version is not None:
        # If parameter version provided, set bento_service version
        # Otherwise it will bet set the first time the `version` property get accessed
        bento_service.set_version(version)

    if not os.path.exists(path):
        raise BentoMLException("Directory '{}' not found".format(path))

    for artifact in bento_service.artifacts.get_artifact_list():
        if not artifact.packed:
            logger.warning(
                "Missing declared artifact '%s' for BentoService '%s'",
                artifact.name,
                bento_service.name,
            )

    module_base_path = os.path.join(path, bento_service.name)
    try:
        os.mkdir(module_base_path)
    except FileExistsError:
        raise BentoMLException(
            f"Existing module file found for BentoService {bento_service.name}"
        )

    # write README.md with custom BentoService's docstring if presented
    saved_bundle_readme = DEFAULT_SAVED_BUNDLE_README.format(
        bento_service.name, bento_service.version
    )
    if bento_service.__class__.__doc__:
        saved_bundle_readme += "\n"
        saved_bundle_readme += bento_service.__class__.__doc__.strip()

    with open(os.path.join(path, "README.md"), "w") as f:
        f.write(saved_bundle_readme)

    # save all model artifacts to 'base_path/name/artifacts/' directory
    bento_service.artifacts.save(module_base_path)

    # write conda environment, requirement.txt
    bento_service.env.save(path, bento_service)

    # Copy all local python modules used by the module containing the `bento_service`'s
    # class definition to saved bundle directory
    module_name, module_file = copy_local_py_modules(
        bento_service.__class__.__module__, os.path.join(path, bento_service.name)
    )

    # create __init__.py
    with open(os.path.join(path, bento_service.name, "__init__.py"), "w") as f:
        f.write(
            INIT_PY_TEMPLATE.format(
                service_name=bento_service.name,
                module_name=module_name,
                pypi_package_version=bento_service.version,
            )
        )

    # write setup.py, this make saved BentoService bundle pip installable
    setup_py_content = BENTO_SERVICE_BUNDLE_SETUP_PY_TEMPLATE.format(
        name=bento_service.name,
        pypi_package_version=bento_service.version,
        long_description=saved_bundle_readme,
    )
    with open(os.path.join(path, "setup.py"), "w") as f:
        f.write(setup_py_content)

    with open(os.path.join(path, "MANIFEST.in"), "w") as f:
        f.write(MANIFEST_IN_TEMPLATE.format(service_name=bento_service.name))

    # write Dockerfile
    logger.debug("Using Docker Base Image %s", bento_service._env._docker_base_image)
    with open(os.path.join(path, "Dockerfile"), "w") as f:
        f.write(
            MODEL_SERVER_DOCKERFILE_CPU.format(
                docker_base_image=bento_service._env._docker_base_image
            )
        )

    # copy custom web_static_content if enabled
    if bento_service.web_static_content:
        src_web_static_content_dir = os.path.join(
            os.getcwd(), bento_service.web_static_content
        )
        if not os.path.isdir(src_web_static_content_dir):
            raise BentoMLException(
                f'web_static_content directory {src_web_static_content_dir} not found'
            )
        dest_web_static_content_dir = os.path.join(
            module_base_path, 'web_static_content'
        )
        shutil.copytree(src_web_static_content_dir, dest_web_static_content_dir)

    # Copy docker-entrypoint.sh
    docker_entrypoint_sh_file_src = os.path.join(
        os.path.dirname(__file__), "docker-entrypoint.sh"
    )
    docker_entrypoint_sh_file_dst = os.path.join(path, "docker-entrypoint.sh")
    shutil.copyfile(docker_entrypoint_sh_file_src, docker_entrypoint_sh_file_dst)
    # chmod +x docker-entrypoint.sh
    st = os.stat(docker_entrypoint_sh_file_dst)
    os.chmod(docker_entrypoint_sh_file_dst, st.st_mode | stat.S_IEXEC)

    # copy bentoml-init.sh for install targz bundles
    bentoml_init_sh_file_src = os.path.join(
        os.path.dirname(__file__), "bentoml-init.sh"
    )
    bentoml_init_sh_file_dst = os.path.join(path, "bentoml-init.sh")
    shutil.copyfile(bentoml_init_sh_file_src, bentoml_init_sh_file_dst)
    # chmod +x bentoml_init_script file
    st = os.stat(bentoml_init_sh_file_dst)
    os.chmod(bentoml_init_sh_file_dst, st.st_mode | stat.S_IEXEC)

    # write bentoml.yml
    config = SavedBundleConfig(bento_service)
    config["metadata"].update({"module_name": module_name, "module_file": module_file})

    config.write_to_path(path)
    # Also write bentoml.yml to module base path to make it accessible
    # as package data after pip installed as a python package
    config.write_to_path(module_base_path)

    bundled_pip_dependencies_path = os.path.join(path, 'bundled_pip_dependencies')
    _bundle_local_bentoml_if_installed_from_source(bundled_pip_dependencies_path)

    if not silent:
        logger.info(
            "BentoService bundle '%s:%s' created at: %s",
            bento_service.name,
            bento_service.version,
            path,
        )
コード例 #4
0
ファイル: bundler.py プロジェクト: innoavator/BentoML
def _write_bento_content_to_dir(bento_service, path):
    if not os.path.exists(path):
        raise BentoMLException("Directory '{}' not found".format(path))

    for artifact in bento_service.artifacts.get_artifact_list():
        if not artifact.packed:
            logger.warning(
                "Missing declared artifact '%s' for BentoService '%s'",
                artifact.name,
                bento_service.name,
            )
    frontend_path = os.path.join(path, "frontend")
    backend_path = os.path.join(path, "backend")

    try:
        os.mkdir(backend_path)
    except FileExistsError:
        raise BentoMLException(
            f"Existing module file found for BentoService {bento_service.name}"
        )
    try:
        os.mkdir(frontend_path)
    except FileExistsError:
        raise BentoMLException(
            f"Existing module file found for BentoService {bento_service.name}"
        )
    module_base_path = os.path.join(backend_path, bento_service.name)
    try:
        os.mkdir(module_base_path)
    except FileExistsError:
        raise BentoMLException(
            f"Existing module file found for BentoService {bento_service.name}"
        )

    # write README.md with custom BentoService's docstring if presented
    saved_bundle_readme = DEFAULT_SAVED_BUNDLE_README.format(
        bento_service.name, bento_service.version
    )
    if bento_service.__class__.__doc__:
        saved_bundle_readme += "\n"
        saved_bundle_readme += bento_service.__class__.__doc__.strip()

    with open(os.path.join(backend_path, "README.md"), "w") as f:
        f.write(saved_bundle_readme)

    # save all model artifacts to 'base_path/name/artifacts/' directory
    bento_service.artifacts.save(module_base_path)

    # write conda environment, requirement.txt
    bento_service.env.infer_pip_packages(bento_service)
    bento_service.env.save(backend_path)

    # Copy all local python modules used by the module containing the `bento_service`'s
    # class definition to saved bundle directory
    module_name, module_file = copy_local_py_modules(
        bento_service.__class__.__module__, os.path.join(backend_path, bento_service.name)
    )

    # create __init__.py
    with open(os.path.join(backend_path, bento_service.name, "__init__.py"), "w") as f:
        f.write(
            INIT_PY_TEMPLATE.format(
                service_name=bento_service.name,
                module_name=module_name,
                pypi_package_version=bento_service.version,
            )
        )

    # write Dockerfile
    logger.debug("Using Docker Base Image %s", bento_service._env._python_version)
    with open(os.path.join(backend_path, "Dockerfile"), "w") as f:
        f.write(
            MODEL_SERVER_DOCKERFILE_CPU.format(
                python_version=bento_service._env._python_version
            ))

    # copy custom web_static_content if enabled
    if bento_service.web_static_content:
        src_web_static_content_dir = os.path.join(
            os.getcwd(), bento_service.web_static_content
        )
        if not os.path.isdir(src_web_static_content_dir):
            raise BentoMLException(
                f'web_static_content directory {src_web_static_content_dir} not found'
            )
        dest_web_static_content_dir = os.path.join(
            module_base_path, 'web_static_content'
        )
        shutil.copytree(src_web_static_content_dir, dest_web_static_content_dir)

    # write bentoml.yml
    config = SavedBundleConfig(bento_service)
    config["metadata"].update({"module_name": module_name, "module_file": module_file})

    config.write_to_path(backend_path)
    config.write_to_path(module_base_path)
    # Also write bentoml.yml to module base backend_path to make it accessible
    # as package data after pip installed as a python package
    config.write_to_path(path)
    # config.write_to_path(os.path.join(path,bento_service.name))
    create_fastapi_file(
        class_name=bento_service.name,
        module_name=module_name,
        apis_list=bento_service.inference_apis,
        store_path=os.path.join(backend_path, FASTAPI_FILE))

    bundled_pip_dependencies_path = os.path.join(backend_path, 'bundled_pip_dependencies')
    _bundle_local_bentoml_if_installed_from_source(bundled_pip_dependencies_path)
    # delete mtime and sort file in tarballs to normalize the checksums
    for tarball_file_path in glob.glob(
            os.path.join(bundled_pip_dependencies_path, '*.tar.gz')
    ):
        normalize_gztarball(tarball_file_path)

    # ------FRONTEND------
    # create __init__.py file
    try:
        open(os.path.join(frontend_path, "__init__.py"), "x")
    except FileExistsError:
        raise BentoMLException(f"__init__.py already exists")

    # create Dockerfile
    with open(os.path.join(frontend_path, "Dockerfile"), "w") as f:
        f.write(ENTHIRE_FRONTEND_DOCKERFILE_TEMPLATE)

    # create requirements.txt
    with open(os.path.join(frontend_path, "requirements.txt"), "w") as f:
        f.write("requests==2.25.1\n")
        f.write("streamlit==0.82.0")

    # Create docker-compose:
    with open(os.path.join(path, "docker-compose.yml"), "w") as f:
        f.write(ENTHIRE_DOCKER_COMPOSE)

    # Create Streamlit file
    create_streamlit_main(fastapi_file=FASTAPI_FILE, fastapi_path=backend_path, store_path=frontend_path)