airflow s3_to_gcs 源码

airflow s3_to_gcs 代码

文件路径：/airflow/providers/google/cloud/transfers/s3_to_gcs.py

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations

from tempfile import NamedTemporaryFile
from typing import TYPE_CHECKING, Sequence

from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.s3 import S3Hook
from airflow.providers.google.cloud.hooks.gcs import GCSHook, _parse_gcs_url, gcs_object_is_directory

try:
    from airflow.providers.amazon.aws.operators.s3 import S3ListOperator
except ImportError:
    from airflow.providers.amazon.aws.operators.s3_list import S3ListOperator  # type: ignore[no-redef]

if TYPE_CHECKING:
    from airflow.utils.context import Context


class S3ToGCSOperator(S3ListOperator):
    """
    Synchronizes an S3 key, possibly a prefix, with a Google Cloud Storage
    destination path.

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:S3ToGCSOperator`

    :param bucket: The S3 bucket where to find the objects. (templated)
    :param prefix: Prefix string which filters objects whose name begin with
        such prefix. (templated)
    :param delimiter: the delimiter marks key hierarchy. (templated)
    :param aws_conn_id: The source S3 connection
    :param verify: Whether or not to verify SSL certificates for S3 connection.
        By default SSL certificates are verified.
        You can provide the following values:

        - ``False``: do not validate SSL certificates. SSL will still be used
                 (unless use_ssl is False), but SSL certificates will not be
                 verified.
        - ``path/to/cert/bundle.pem``: A filename of the CA cert bundle to uses.
                 You can specify this argument if you want to use a different
                 CA cert bundle than the one used by botocore.
    :param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud.
    :param dest_gcs: The destination Google Cloud Storage bucket and prefix
        where you want to store the files. (templated)
    :param delegate_to: Google account to impersonate using domain-wide delegation of authority,
        if any. For this to work, the service account making the request must have
        domain-wide delegation enabled.
    :param replace: Whether you want to replace existing destination files
        or not.
    :param gzip: Option to compress file for upload
    :param google_impersonation_chain: Optional Google service account to impersonate using
        short-term credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).


    **Example**:

    .. code-block:: python

       s3_to_gcs_op = S3ToGCSOperator(
           task_id="s3_to_gcs_example",
           bucket="my-s3-bucket",
           prefix="data/customers-201804",
           gcp_conn_id="google_cloud_default",
           dest_gcs="gs://my.gcs.bucket/some/customers/",
           replace=False,
           gzip=True,
           dag=my_dag,
       )

    Note that ``bucket``, ``prefix``, ``delimiter`` and ``dest_gcs`` are
    templated, so you can use variables in them if you wish.
    """

    template_fields: Sequence[str] = (
        'bucket',
        'prefix',
        'delimiter',
        'dest_gcs',
        'google_impersonation_chain',
    )
    ui_color = '#e09411'

    def __init__(
        self,
        *,
        bucket,
        prefix='',
        delimiter='',
        aws_conn_id='aws_default',
        verify=None,
        gcp_conn_id='google_cloud_default',
        dest_gcs=None,
        delegate_to=None,
        replace=False,
        gzip=False,
        google_impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ):

        super().__init__(bucket=bucket, prefix=prefix, delimiter=delimiter, aws_conn_id=aws_conn_id, **kwargs)
        self.gcp_conn_id = gcp_conn_id
        self.dest_gcs = dest_gcs
        self.delegate_to = delegate_to
        self.replace = replace
        self.verify = verify
        self.gzip = gzip
        self.google_impersonation_chain = google_impersonation_chain

    def _check_inputs(self) -> None:
        if self.dest_gcs and not gcs_object_is_directory(self.dest_gcs):
            self.log.info(
                'Destination Google Cloud Storage path is not a valid '
                '"directory", define a path that ends with a slash "/" or '
                'leave it empty for the root of the bucket.'
            )
            raise AirflowException(
                'The destination Google Cloud Storage path must end with a slash "/" or be empty.'
            )

    def execute(self, context: Context):
        self._check_inputs()
        # use the super method to list all the files in an S3 bucket/key
        files = super().execute(context)

        gcs_hook = GCSHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            impersonation_chain=self.google_impersonation_chain,
        )

        if not self.replace:
            # if we are not replacing -> list all files in the GCS bucket
            # and only keep those files which are present in
            # S3 and not in Google Cloud Storage
            bucket_name, object_prefix = _parse_gcs_url(self.dest_gcs)
            existing_files_prefixed = gcs_hook.list(bucket_name, prefix=object_prefix)

            existing_files = []

            if existing_files_prefixed:
                # Remove the object prefix itself, an empty directory was found
                if object_prefix in existing_files_prefixed:
                    existing_files_prefixed.remove(object_prefix)

                # Remove the object prefix from all object string paths
                for f in existing_files_prefixed:
                    if f.startswith(object_prefix):
                        existing_files.append(f[len(object_prefix) :])
                    else:
                        existing_files.append(f)

            files = list(set(files) - set(existing_files))
            if len(files) > 0:
                self.log.info('%s files are going to be synced: %s.', len(files), files)
            else:
                self.log.info('There are no new files to sync. Have a nice day!')

        if files:
            hook = S3Hook(aws_conn_id=self.aws_conn_id, verify=self.verify)

            for file in files:
                # GCS hook builds its own in-memory file so we have to create
                # and pass the path
                file_object = hook.get_key(file, self.bucket)
                with NamedTemporaryFile(mode='wb', delete=True) as f:
                    file_object.download_fileobj(f)
                    f.flush()

                    dest_gcs_bucket, dest_gcs_object_prefix = _parse_gcs_url(self.dest_gcs)
                    # There will always be a '/' before file because it is
                    # enforced at instantiation time
                    dest_gcs_object = dest_gcs_object_prefix + file

                    # Sync is sequential and the hook already logs too much
                    # so skip this for now
                    # self.log.info(
                    #     'Saving file {0} from S3 bucket {1} in GCS bucket {2}'
                    #     ' as object {3}'.format(file, self.bucket,
                    #                             dest_gcs_bucket,
                    #                             dest_gcs_object))

                    gcs_hook.upload(dest_gcs_bucket, dest_gcs_object, f.name, gzip=self.gzip)

            self.log.info("All done, uploaded %d files to Google Cloud Storage", len(files))
        else:
            self.log.info('In sync, no files needed to be uploaded to Google Cloud Storage')

        return files

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