def poke(self, context):
self.log.info('Sensor checks existence of objects: %s, %s',
self.bucket, self.prefix)
hook = GCSHook(google_cloud_storage_conn_id=self.google_cloud_conn_id,
delegate_to=self.delegate_to)
self._matches = hook.list(self.bucket, prefix=self.prefix)
return bool(self._matches)
def _copy_single_object(
self,
gcs_hook: GCSHook,
sftp_hook: SFTPHook,
source_object: str,
destination_path: str,
) -> None:
"""
Helper function to copy single object.
"""
self.log.info(
"Executing copy of gs://%s/%s to %s",
self.source_bucket,
source_object,
destination_path,
)
dir_path = os.path.dirname(destination_path)
sftp_hook.create_directory(dir_path)
with NamedTemporaryFile("w") as tmp:
gcs_hook.download(
bucket_name=self.source_bucket,
object_name=source_object,
filename=tmp.name,
)
sftp_hook.store_file(destination_path, tmp.name)
if self.move_object:
self.log.info("Executing delete of gs://%s/%s", self.source_bucket,
source_object)
gcs_hook.delete(self.source_bucket, source_object)
def execute(self, context):
self.gcs_hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
self.gdrive_hook = GoogleDriveHook(gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
if WILDCARD in self.source_object:
total_wildcards = self.source_object.count(WILDCARD)
if total_wildcards > 1:
error_msg = (
"Only one wildcard '*' is allowed in source_object parameter. "
"Found {} in {}.".format(total_wildcards,
self.source_object))
raise AirflowException(error_msg)
prefix, delimiter = self.source_object.split(WILDCARD, 1)
objects = self.gcs_hook.list(self.source_bucket,
prefix=prefix,
delimiter=delimiter)
for source_object in objects:
if self.destination_object is None:
destination_object = source_object
else:
destination_object = source_object.replace(
prefix, self.destination_object, 1)
self._copy_single_object(source_object=source_object,
destination_object=destination_object)
else:
self._copy_single_object(
source_object=self.source_object,
destination_object=self.destination_object)
def poke(self, context):
self.log.info('Sensor checks existence of : %s, %s', self.bucket,
self.object)
hook = GCSHook(google_cloud_storage_conn_id=self.google_cloud_conn_id,
delegate_to=self.delegate_to)
return hook.is_updated_after(self.bucket, self.object,
self.ts_func(context))
def execute(self, context):
gcs_hook = GCSHook(gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
sftp_hook = SFTPHook(self.sftp_conn_id)
if WILDCARD in self.source_object:
total_wildcards = self.source_object.count(WILDCARD)
if total_wildcards > 1:
raise AirflowException(
"Only one wildcard '*' is allowed in source_object parameter. "
"Found {} in {}.".format(total_wildcards,
self.source_object))
prefix, delimiter = self.source_object.split(WILDCARD, 1)
objects = gcs_hook.list(self.source_bucket,
prefix=prefix,
delimiter=delimiter)
for source_object in objects:
destination_path = os.path.join(self.destination_path,
source_object)
self._copy_single_object(gcs_hook, sftp_hook, source_object,
destination_path)
self.log.info("Done. Uploaded '%d' files to %s", len(objects),
self.destination_path)
else:
destination_path = os.path.join(self.destination_path,
self.source_object)
self._copy_single_object(gcs_hook, sftp_hook, self.source_object,
destination_path)
self.log.info("Done. Uploaded '%s' file to %s", self.source_object,
destination_path)
def _copy_single_object(
self,
gcs_hook: GCSHook,
sftp_hook: SFTPHook,
source_path: str,
destination_object: str,
) -> None:
"""
Helper function to copy single object.
"""
self.log.info(
"Executing copy of %s to gs://%s/%s",
source_path,
self.destination_bucket,
destination_object,
)
with NamedTemporaryFile("w") as tmp:
sftp_hook.retrieve_file(source_path, tmp.name)
gcs_hook.upload(
bucket_name=self.destination_bucket,
object_name=destination_object,
filename=tmp.name,
mime_type=self.mime_type,
)
if self.move_object:
self.log.info("Executing delete of %s", source_path)
sftp_hook.delete_file(source_path)
def execute(self, context):
hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id)
hook.insert_object_acl(bucket_name=self.bucket,
object_name=self.object_name,
entity=self.entity,
role=self.role,
generation=self.generation,
user_project=self.user_project)
def _upload_to_gcs(self, files_to_upload: Dict[str, Any]):
hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
for obj, tmp_file_handle in files_to_upload.items():
hook.upload(bucket_name=self.bucket,
object_name=obj,
filename=tmp_file_handle.name,
mime_type='application/json',
gzip=self.gzip)
def apply_validate_fn(*args, **kwargs):
prediction_path = kwargs["templates_dict"]["prediction_path"]
scheme, bucket, obj, _, _ = urlsplit(prediction_path)
if scheme != "gs" or not bucket or not obj:
raise ValueError(
"Wrong format prediction_path: {}".format(prediction_path))
summary = os.path.join(obj.strip("/"), "prediction.summary.json")
gcs_hook = GCSHook()
summary = json.loads(gcs_hook.download(bucket, summary))
return validate_fn(summary)
def execute(self, context):
hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
hook.sync(source_bucket=self.source_bucket,
destination_bucket=self.destination_bucket,
source_object=self.source_object,
destination_object=self.destination_object,
recursive=self.recursive,
delete_extra_files=self.delete_extra_files,
allow_overwrite=self.allow_overwrite)
def execute(self, context):
hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
hook.create_bucket(bucket_name=self.bucket_name,
resource=self.resource,
storage_class=self.storage_class,
location=self.location,
project_id=self.project_id,
labels=self.labels)
def execute(self, context):
hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
self.log.info(
'Getting list of the files. Bucket: %s; Delimiter: %s; Prefix: %s',
self.bucket, self.delimiter, self.prefix)
return hook.list(bucket_name=self.bucket,
prefix=self.prefix,
delimiter=self.delimiter)
def _upload_to_gcs(self, files_to_upload):
"""
Upload all of the file splits (and optionally the schema .json file) to
Google Cloud Storage.
"""
hook = GCSHook(
google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
for tmp_file in files_to_upload:
hook.upload(self.bucket, tmp_file.get('file_name'),
tmp_file.get('file_handle').name,
mime_type=tmp_file.get('file_mime_type'),
gzip=self.gzip if tmp_file.get('file_name') == self.schema_filename else False)
def execute(self, context):
hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
if self.objects:
objects = self.objects
else:
objects = hook.list(bucket_name=self.bucket_name,
prefix=self.prefix)
self.log.info("Deleting %s objects from %s", len(objects),
self.bucket_name)
for object_name in objects:
hook.delete(bucket_name=self.bucket_name, object_name=object_name)
def execute(self, context):
"""
Uploads the file to Google Cloud Storage
"""
hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
hook.upload(
bucket_name=self.bucket,
object_name=self.dst,
mime_type=self.mime_type,
filename=self.src,
gzip=self.gzip,
)
def execute(self, context):
hook = CloudTextToSpeechHook(gcp_conn_id=self.gcp_conn_id)
result = hook.synthesize_speech(
input_data=self.input_data,
voice=self.voice,
audio_config=self.audio_config,
retry=self.retry,
timeout=self.timeout,
)
with NamedTemporaryFile() as temp_file:
temp_file.write(result.audio_content)
cloud_storage_hook = GCSHook(
google_cloud_storage_conn_id=self.gcp_conn_id)
cloud_storage_hook.upload(bucket_name=self.target_bucket_name,
object_name=self.target_filename,
filename=temp_file.name)
def execute(self, context):
gcs_hook = GCSHook(gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
sftp_hook = SFTPHook(self.sftp_conn_id)
if WILDCARD in self.source_path:
total_wildcards = self.source_path.count(WILDCARD)
if total_wildcards > 1:
raise AirflowException(
"Only one wildcard '*' is allowed in source_path parameter. "
"Found {} in {}.".format(total_wildcards,
self.source_path))
prefix, delimiter = self.source_path.split(WILDCARD, 1)
base_path = os.path.dirname(prefix)
files, _, _ = sftp_hook.get_tree_map(base_path,
prefix=prefix,
delimiter=delimiter)
for file in files:
destination_path = file.replace(base_path,
self.destination_path, 1)
self._copy_single_object(gcs_hook, sftp_hook, file,
destination_path)
else:
destination_object = (self.destination_path
if self.destination_path else
self.source_path.rsplit("/", 1)[1])
self._copy_single_object(gcs_hook, sftp_hook, self.source_path,
destination_object)
class GoogleCloudBucketHelper:
"""GoogleCloudStorageHook helper class to download GCS object."""
GCS_PREFIX_LENGTH = 5
def __init__(self,
gcp_conn_id: str = 'google_cloud_default',
delegate_to: Optional[str] = None) -> None:
self._gcs_hook = GCSHook(gcp_conn_id, delegate_to)
def google_cloud_to_local(self, file_name: str) -> str:
"""
Checks whether the file specified by file_name is stored in Google Cloud
Storage (GCS), if so, downloads the file and saves it locally. The full
path of the saved file will be returned. Otherwise the local file_name
will be returned immediately.
:param file_name: The full path of input file.
:type file_name: str
:return: The full path of local file.
:rtype: str
"""
if not file_name.startswith('gs://'):
return file_name
# Extracts bucket_id and object_id by first removing 'gs://' prefix and
# then split the remaining by path delimiter '/'.
path_components = file_name[self.GCS_PREFIX_LENGTH:].split('/')
if len(path_components) < 2:
raise Exception(
'Invalid Google Cloud Storage (GCS) object path: {}'.format(
file_name))
bucket_id = path_components[0]
object_id = '/'.join(path_components[1:])
local_file = os.path.join(
tempfile.gettempdir(),
'dataflow{}-{}'.format(str(uuid.uuid4())[:8], path_components[-1]))
self._gcs_hook.download(bucket_id, object_id, local_file)
if os.stat(local_file).st_size > 0:
return local_file
raise Exception(
'Failed to download Google Cloud Storage (GCS) object: {}'.format(
file_name))
def execute(self, context: Dict):
hook = GoogleDisplayVideo360Hook(
gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to,
api_version=self.api_version,
)
gcs_hook = GCSHook(
google_cloud_storage_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to
)
resource = hook.get_query(query_id=self.report_id)
# Check if report is ready
if resource["metadata"]["running"]:
raise AirflowException('Report {} is still running'.format(self.report_id))
# If no custom report_name provided, use DV360 name
file_url = resource["metadata"]["googleCloudStoragePathForLatestReport"]
report_name = self.report_name or urlparse(file_url).path.split('/')[2]
report_name = self._resolve_file_name(report_name)
# Download the report
self.log.info("Starting downloading report %s", self.report_id)
with tempfile.NamedTemporaryFile(delete=False) as temp_file:
with urllib.request.urlopen(file_url) as response:
shutil.copyfileobj(response, temp_file, length=self.chunk_size)
temp_file.flush()
# Upload the local file to bucket
gcs_hook.upload(
bucket_name=self.bucket_name,
object_name=report_name,
gzip=self.gzip,
filename=temp_file.name,
mime_type="text/csv",
)
self.log.info(
"Report %s was saved in bucket %s as %s.",
self.report_id,
self.bucket_name,
report_name,
)
self.xcom_push(context, key='report_name', value=report_name)
def execute(self, context):
self.log.info('Executing download: %s, %s, %s', self.bucket,
self.object, self.filename)
hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
if self.store_to_xcom_key:
file_bytes = hook.download(bucket_name=self.bucket,
object_name=self.object)
if sys.getsizeof(file_bytes) < MAX_XCOM_SIZE:
context['ti'].xcom_push(key=self.store_to_xcom_key,
value=file_bytes)
else:
raise AirflowException(
'The size of the downloaded file is too large to push to XCom!'
)
else:
hook.download(bucket_name=self.bucket,
object_name=self.object,
filename=self.filename)
def execute(self, context: Dict):
hook = GoogleSearchAdsHook(
gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to,
api_version=self.api_version,
)
gcs_hook = GCSHook(gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
# Resolve file name of the report
report_name = self.report_name or self.report_id
report_name = self._resolve_file_name(report_name)
response = hook.get(report_id=self.report_id)
if not response['isReportReady']:
raise AirflowException('Report {} is not ready yet'.format(
self.report_id))
# Resolve report fragments
fragments_count = len(response["files"])
# Download chunks of report's data
self.log.info("Downloading Search Ads report %s", self.report_id)
with NamedTemporaryFile() as temp_file:
for i in range(fragments_count):
byte_content = hook.get_file(report_fragment=i,
report_id=self.report_id)
fragment = (byte_content if i == 0 else
self._handle_report_fragment(byte_content))
temp_file.write(fragment)
temp_file.flush()
gcs_hook.upload(
bucket_name=self.bucket_name,
object_name=report_name,
gzip=self.gzip,
filename=temp_file.name,
)
self.xcom_push(context, key="file_name", value=report_name)
def execute(self, context):
# use the super to list all files in an Google Cloud Storage bucket
files = super().execute(context)
s3_hook = S3Hook(aws_conn_id=self.dest_aws_conn_id,
verify=self.dest_verify)
if not self.replace:
# if we are not replacing -> list all files in the S3 bucket
# and only keep those files which are present in
# Google Cloud Storage and not in S3
bucket_name, prefix = S3Hook.parse_s3_url(self.dest_s3_key)
# look for the bucket and the prefix to avoid look into
# parent directories/keys
existing_files = s3_hook.list_keys(bucket_name, prefix=prefix)
# in case that no files exists, return an empty array to avoid errors
existing_files = existing_files if existing_files is not None else []
# remove the prefix for the existing files to allow the match
existing_files = [
file.replace(prefix, '', 1) for file in existing_files
]
files = list(set(files) - set(existing_files))
if files:
hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
for file in files:
file_bytes = hook.download(self.bucket, file)
dest_key = self.dest_s3_key + file
self.log.info("Saving file to %s", dest_key)
s3_hook.load_bytes(file_bytes,
key=dest_key,
replace=self.replace)
self.log.info("All done, uploaded %d files to S3", len(files))
else:
self.log.info("In sync, no files needed to be uploaded to S3")
return files
def execute(self, context):
# use the super to list all files in an Azure Data Lake path
files = super().execute(context)
g_hook = GCSHook(
google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
if not self.replace:
# if we are not replacing -> list all files in the ADLS path
# and only keep those files which are present in
# ADLS and not in Google Cloud Storage
bucket_name, prefix = _parse_gcs_url(self.dest_gcs)
existing_files = g_hook.list(bucket_name=bucket_name, prefix=prefix)
files = set(files) - set(existing_files)
if files:
hook = AzureDataLakeHook(
azure_data_lake_conn_id=self.azure_data_lake_conn_id
)
for obj in files:
with NamedTemporaryFile(mode='wb', delete=True) as f:
hook.download_file(local_path=f.name, remote_path=obj)
f.flush()
dest_gcs_bucket, dest_gcs_prefix = _parse_gcs_url(self.dest_gcs)
dest_path = os.path.join(dest_gcs_prefix, obj)
self.log.info("Saving file to %s", dest_path)
g_hook.upload(
bucket_name=dest_gcs_bucket,
object_name=dest_path,
filename=f.name,
gzip=self.gzip
)
self.log.info("All done, uploaded %d files to GCS", len(files))
else:
self.log.info("In sync, no files needed to be uploaded to GCS")
return files
def execute(self, context: Dict):
hook = GoogleCampaignManagerHook(
gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to,
api_version=self.api_version,
)
gcs_hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
# Get name of the report
report = hook.get_report(file_id=self.file_id,
profile_id=self.profile_id,
report_id=self.report_id)
report_name = self.report_name or report.get("fileName",
str(uuid.uuid4()))
report_name = self._resolve_file_name(report_name)
# Download the report
self.log.info("Starting downloading report %s", self.report_id)
request = hook.get_report_file(profile_id=self.profile_id,
report_id=self.report_id,
file_id=self.file_id)
with tempfile.NamedTemporaryFile() as temp_file:
downloader = http.MediaIoBaseDownload(fd=temp_file,
request=request,
chunksize=self.chunk_size)
download_finished = False
while not download_finished:
_, download_finished = downloader.next_chunk()
temp_file.flush()
# Upload the local file to bucket
gcs_hook.upload(
bucket_name=self.bucket_name,
object_name=report_name,
gzip=self.gzip,
filename=temp_file.name,
mime_type="text/csv",
)
self.xcom_push(context, key="report_name", value=report_name)
def hook(self):
"""
Returns GCS hook.
"""
remote_conn_id = conf.get('logging', 'REMOTE_LOG_CONN_ID')
try:
from airflow.gcp.hooks.gcs import GCSHook
return GCSHook(google_cloud_storage_conn_id=remote_conn_id)
except Exception as e: # pylint: disable=broad-except
self.log.error(
'Could not create a GoogleCloudStorageHook with connection id '
'"%s". %s\n\nPlease make sure that airflow[gcp] is installed '
'and the GCS connection exists.', remote_conn_id, str(e))
def execute(self, context: Dict):
hook = GCSHook(gcp_conn_id=self.gcp_conn_id)
with NamedTemporaryFile() as source_file, NamedTemporaryFile(
) as destination_file:
self.log.info("Downloading file from %s", self.source_bucket)
hook.download(bucket_name=self.source_bucket,
object_name=self.source_object,
filename=source_file.name)
self.log.info("Starting the transformation")
cmd = [self.transform_script] if isinstance(
self.transform_script, str) else self.transform_script
cmd += [source_file.name, destination_file.name]
process = subprocess.Popen(args=cmd,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
close_fds=True)
self.log.info("Process output:")
for line in iter(process.stdout.readline, b''):
self.log.info(line.decode(self.output_encoding).rstrip())
process.wait()
if process.returncode > 0:
raise AirflowException("Transform script failed: {0}".format(
process.returncode))
self.log.info(
"Transformation succeeded. Output temporarily located at %s",
destination_file.name)
self.log.info("Uploading file to %s as %s",
self.destination_bucket, self.destination_object)
hook.upload(bucket_name=self.destination_bucket,
object_name=self.destination_object,
filename=destination_file.name)
def execute(self, context):
bq_hook = BigQueryHook(bigquery_conn_id=self.bigquery_conn_id,
delegate_to=self.delegate_to,
location=self.location)
if not self.schema_fields:
if self.schema_object and self.source_format != 'DATASTORE_BACKUP':
gcs_hook = GCSHook(google_cloud_storage_conn_id=self.
google_cloud_storage_conn_id,
delegate_to=self.delegate_to)
schema_fields = json.loads(
gcs_hook.download(self.bucket,
self.schema_object).decode("utf-8"))
elif self.schema_object is None and self.autodetect is False:
raise AirflowException(
'At least one of `schema_fields`, '
'`schema_object`, or `autodetect` must be passed.')
else:
schema_fields = None
else:
schema_fields = self.schema_fields
source_uris = [
'gs://{}/{}'.format(self.bucket, source_object)
for source_object in self.source_objects
]
conn = bq_hook.get_conn()
cursor = conn.cursor()
if self.external_table:
cursor.create_external_table(
external_project_dataset_table=self.
destination_project_dataset_table,
schema_fields=schema_fields,
source_uris=source_uris,
source_format=self.source_format,
compression=self.compression,
skip_leading_rows=self.skip_leading_rows,
field_delimiter=self.field_delimiter,
max_bad_records=self.max_bad_records,
quote_character=self.quote_character,
ignore_unknown_values=self.ignore_unknown_values,
allow_quoted_newlines=self.allow_quoted_newlines,
allow_jagged_rows=self.allow_jagged_rows,
encoding=self.encoding,
src_fmt_configs=self.src_fmt_configs,
encryption_configuration=self.encryption_configuration)
else:
cursor.run_load(
destination_project_dataset_table=self.
destination_project_dataset_table,
schema_fields=schema_fields,
source_uris=source_uris,
source_format=self.source_format,
autodetect=self.autodetect,
create_disposition=self.create_disposition,
skip_leading_rows=self.skip_leading_rows,
write_disposition=self.write_disposition,
field_delimiter=self.field_delimiter,
max_bad_records=self.max_bad_records,
quote_character=self.quote_character,
ignore_unknown_values=self.ignore_unknown_values,
allow_quoted_newlines=self.allow_quoted_newlines,
allow_jagged_rows=self.allow_jagged_rows,
encoding=self.encoding,
schema_update_options=self.schema_update_options,
src_fmt_configs=self.src_fmt_configs,
time_partitioning=self.time_partitioning,
cluster_fields=self.cluster_fields,
encryption_configuration=self.encryption_configuration)
if self.max_id_key:
cursor.execute('SELECT MAX({}) FROM {}'.format(
self.max_id_key, self.destination_project_dataset_table))
row = cursor.fetchone()
max_id = row[0] if row[0] else 0
self.log.info('Loaded BQ data with max %s.%s=%s',
self.destination_project_dataset_table,
self.max_id_key, max_id)
def execute(self, context):
# use the super method to list all the files in an S3 bucket/key
files = super().execute(context)
gcs_hook = GCSHook(google_cloud_storage_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to)
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
def poke(self, context):
hook = GCSHook()
return self.is_bucket_updated(len(hook.list(self.bucket, prefix=self.prefix)))
def __init__(self,
gcp_conn_id: str = 'google_cloud_default',
delegate_to: Optional[str] = None) -> None:
self._gcs_hook = GCSHook(gcp_conn_id, delegate_to)