Пример #1
0
def run_with_conda_env(bundle_path, command):
    config = load_saved_bundle_config(bundle_path)
    metadata = config['metadata']
    env_name = metadata['service_name'] + '_' + metadata['service_version']

    yaml = YAML()
    yaml.default_flow_style = False
    tmpf = tempfile.NamedTemporaryFile(delete=False)
    env_path = tmpf.name + '.yaml'
    yaml.dump(config['env']['conda_env'], Path(env_path))

    pip_req = os.path.join(bundle_path, 'requirements.txt')

    subprocess.call(
        'command -v conda >/dev/null 2>&1 || {{ echo >&2 "--with-conda '
        'parameter requires conda but it\'s not installed."; exit 1; }} && '
        'conda env update -n {env_name} -f {env_file} && '
        'conda init bash && '
        'eval "$(conda shell.bash hook)" && '
        'conda activate {env_name} && '
        '{{ [ -f {pip_req} ] && pip install -r {pip_req} || echo "no pip '
        'dependencies."; }} && {cmd}'.format(
            env_name=env_name,
            env_file=env_path,
            pip_req=pip_req,
            cmd=command,
        ),
        shell=True,
    )
    return
Пример #2
0
    def serve(port, bundle_path=bundle_path, with_conda=False):
        if with_conda:
            config = load_saved_bundle_config(bundle_path)
            metadata = config['metadata']
            env_name = metadata['service_name'] + '_' + metadata[
                'service_version']
            pip_req = os.path.join(bundle_path, 'requirements.txt')

            subprocess.call(
                'command -v conda >/dev/null 2>&1 || {{ echo >&2 "--with-conda '
                'parameter requires conda but it\'s not installed."; exit 1; }} && '
                'conda env update -n {env_name} -f {env_file} && '
                'conda init bash && '
                'eval "$(conda shell.bash hook)" && '
                'conda activate {env_name} && '
                '{{ [ -f {pip_req} ] && pip install -r {pip_req} || echo "no pip '
                'dependencies."; }} &&'
                'bentoml serve {bundle_path} --port {port}'.format(
                    env_name=env_name,
                    env_file=os.path.join(bundle_path, 'environment.yml'),
                    bundle_path=bundle_path,
                    port=port,
                    pip_req=pip_req,
                ),
                shell=True,
            )
            return

        track_cli('serve')

        bento_service = load(bundle_path)
        server = BentoAPIServer(bento_service, port=port)
        server.start()
Пример #3
0
    def serve_gunicorn(port,
                       workers,
                       timeout,
                       bundle_path=bundle_path,
                       with_conda=False):
        if with_conda:
            config = load_saved_bundle_config(bundle_path)
            metadata = config['metadata']
            env_name = metadata['service_name'] + '_' + metadata[
                'service_version']
            pip_req = os.path.join(bundle_path, 'requirements.txt')

            subprocess.call(
                'command -v conda >/dev/null 2>&1 || {{ echo >&2 "--with-conda '
                'parameter requires conda but it\'s not installed."; exit 1; }} && '
                'conda env update -n {env_name} -f {env_file} && '
                'conda init bash && '
                'eval "$(conda shell.bash hook)" && '
                'conda activate {env_name} && '
                '{{ [ -f {pip_req} ] && pip install -r {pip_req} || echo "no pip '
                'dependencies."; }} &&'
                'bentoml serve_gunicorn {bundle_path} -p {port} -w {workers} '
                '--timeout {timeout}'.format(
                    env_name=env_name,
                    env_file=os.path.join(bundle_path, 'environment.yml'),
                    bundle_path=bundle_path,
                    port=port,
                    workers=workers,
                    timeout=timeout,
                    pip_req=pip_req,
                ),
                shell=True,
            )
            return

        track_cli('serve_gunicorn')

        from bentoml.server.gunicorn_server import GunicornBentoServer

        gunicorn_app = GunicornBentoServer(bundle_path, port, workers, timeout)
        gunicorn_app.run()
Пример #4
0
    def run(ctx, api_name, bundle_path=bundle_path, with_conda=False):
        if with_conda:
            config = load_saved_bundle_config(bundle_path)
            metadata = config['metadata']
            env_name = metadata['service_name'] + '_' + metadata[
                'service_version']

            yaml = YAML()
            yaml.default_flow_style = False
            tmpf = tempfile.NamedTemporaryFile(delete=False)
            env_path = tmpf.name
            yaml.dump(config['env']['conda_env'], Path(env_path))

            pip_req = os.path.join(bundle_path, 'requirements.txt')

            subprocess.call(
                'command -v conda >/dev/null 2>&1 || {{ echo >&2 "--with-conda '
                'parameter requires conda but it\'s not installed."; exit 1; }} && '
                'conda env update -n {env_name} -f {env_file} && '
                'conda init bash && '
                'eval "$(conda shell.bash hook)" && '
                'conda activate {env_name} && '
                '{{ [ -f {pip_req} ] && pip install -r {pip_req} || echo "no pip '
                'dependencies."; }} &&'
                'bentoml {api_name} {bundle_path} {args}'.format(
                    env_name=env_name,
                    env_file=env_path,
                    bundle_path=bundle_path,
                    api_name=api_name,
                    args=' '.join(map(escape_shell_params, ctx.args)),
                    pip_req=pip_req,
                ),
                shell=True,
            )
            return

        track_cli('run')

        api = load_bento_service_api(bundle_path, api_name)
        api.handle_cli(ctx.args)