How to use extract_bucket_name method in localstack

Best Python code snippet using localstack_python

vertex_ai.py

Source:vertex_ai.py Github

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...89 name = "Export Model"90 key = "export_conf"91 format_str = VERTEX_AI_MODEL_EXPORT_LINK92 @staticmethod93 def extract_bucket_name(config):94 """Returns bucket name from output configuration."""95 return config["artifact_destination"]["output_uri_prefix"].rpartition("gs://")[-1]96 @staticmethod97 def persist(98 context: "Context",99 task_instance,100 ):101 task_instance.xcom_push(102 context=context,103 key=VertexAIModelExportLink.key,104 value={105 "project_id": task_instance.project_id,106 "model_id": task_instance.model_id,107 "bucket_name": VertexAIModelExportLink.extract_bucket_name(task_instance.output_config),108 },109 )110class VertexAITrainingLink(BaseGoogleLink):111 """Helper class for constructing Vertex AI Training link"""112 name = "Vertex AI Training"113 key = "training_conf"114 format_str = VERTEX_AI_TRAINING_LINK115 @staticmethod116 def persist(117 context: "Context",118 task_instance,119 training_id: str,120 ):121 task_instance.xcom_push(...

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rds_inserter.py

Source:rds_inserter.py Github

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...9 password=os.environ['password'],10 host=os.environ['endpoint'].split(':')[0],11 database='frbhackathon2018tf')12 return connection13 def extract_bucket_name(event):14 return json.loads(event)['bucket_name']15 def extract_file_names(event):16 return json.loads(event)['list_of_files']17 def download_file_from_s3(s3, bucket_name, key):18 s3.Bucket(bucket_name).download_file(key, '/tmp/test.txt')19 return20 def insert_into_rds(s3, conn, bucket_name, file_names):21 cursor = conn.cursor()22 cursor.execute('SET autocommit=1;')23 for file in file_names:24 if 'obfs' in file:25 table_name = 'T_CUST_LOAN_OBFS'26 else:27 table_name = 'T_CUST_LOAN'28 download_file_from_s3(s3, bucket_name, file)29 with open('/tmp/test.txt') as local_file:30 header = local_file.readline()31 for line in local_file:32 print(QUERY.format(table_name, line.rstrip('\n')))33 cursor.execute(QUERY.format(table_name, line.rstrip('\n')))34 local_file.close()35 conn.close()36 return37 def main():38 s3 = boto3.resource('s3')39 file_names = extract_file_names(event)40 bucket_name = extract_bucket_name(event)41 conn = create_connection()42 insert_into_rds(s3, conn, bucket_name, file_names)43 output_dict = {}44 output_dict["result"] = "success"45 output_dict["key"] = file_names[0]46 return json.dumps(output_dict)47 return_json = main()...

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main.py

Source:main.py Github

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1import os2from datetime import datetime3import boto34def run():5 TODAY = datetime.today().strftime('%Y%m%d')6 LOCAL_FILE_NAME = 'tmp.csv.gz'7 extract_session = create_aws_session()8 download_file(extract_session, LOCAL_FILE_NAME, TODAY)9 load_session = create_aws_session(extract=False)10 upload_file(load_session, LOCAL_FILE_NAME, TODAY)11def create_aws_session(extract=True):12 REGION_NAME = 'us-east-1'13 if extract:14 AWS_ACCESS_KEY_ID = os.environ['EXTRACT_AWS_ACCESS_KEY_ID']15 AWS_ACCESS_KEY_SECRET = os.environ['EXTRACT_AWS_ACCESS_KEY_SECRET']16 else:17 AWS_ACCESS_KEY_ID = os.environ['LOAD_AWS_ACCESS_KEY_ID']18 AWS_ACCESS_KEY_SECRET = os.environ['LOAD_AWS_ACCESS_KEY_SECRET']19 return boto3.session.Session(20 aws_access_key_id=AWS_ACCESS_KEY_ID,21 aws_secret_access_key=AWS_ACCESS_KEY_SECRET,22 region_name=REGION_NAME23 )24def download_file(session, local_file_name, today):25 EXTRACT_BUCKET_NAME = 'sfdv-growp-data'26 s3 = session.resource('s3')27 s3.Object(28 EXTRACT_BUCKET_NAME,29 f'{today}_file_for_gp.csv.gz'30 ).download_file(local_file_name)31def upload_file(session, local_file_name, today):32 LOAD_BUCKET_NAME = 'growprog-schildress-test'33 s3 = session.resource('s3')34 s3.Object(35 LOAD_BUCKET_NAME,36 f'{today}_file_for_gp.csv.gz'37 ).upload_file(local_file_name)38if __name__ == '__main__':...

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