PKJP"NxOnordata/__init__.py'''Convenience wrappers for connecting to AWS S3 and Redshift''' __version__ = '0.2.0' # Boto3 function from ._boto import boto_get_creds from ._boto import boto_create_session # Redshift functions from ._redshift import redshift_get_conn from ._redshift import read_sql from ._redshift import redshift_execute_sql # S3 functions from ._s3 import s3_get_bucket from ._s3 import s3_download from ._s3 import s3_upload from ._s3 import s3_delete __all__ = ['_boto', '_redshift', '_s3']PKJP"N#knordata/_boto.pyimport boto3 def boto_create_session(profile_name='default', region_name='us-west-2'): """ Instantiates and returns a boto3 session object Parameters ---------- profile_name : str profile name under which credentials are stored (default 'default' unless organization specific) region_name : str name of AWS regions (default 'us-west-2') Returns ------- boto3 session object Example use ----------- session = create_session(profile_name='default', region_name='us-west-2') """ return boto3.session.Session(profile_name=profile_name, region_name=region_name) def boto_get_creds( profile_name='default', region_name='us-west-2', session=None): """ Generates and returns an S3 credential string Parameters ---------- profile_name : str profile name under which credentials are stores (default 'default' unless organization specific) region_name : str name of AWS regions (default 'us-west-2') session : boto3 session object or None you can optionally provide a boto3 session object or the function can instantiate a new one if None Returns ------- str credentials for accessing S3 Example use ----------- creds = boto_get_creds( profile_name='default', region_name='us-west-2', session=None) """ if session is None: session = boto_create_session(profile_name=profile_name, region_name=region_name) access_key = session.get_credentials().access_key secret_key = session.get_credentials().secret_key token = session.get_credentials().token return f'''aws_access_key_id={access_key};aws_secret_access_key={secret_key};token={token}''' PK%ZMCnordata/_redshift.pyimport os import psycopg2 def redshift_get_conn(env_var): """ Creates a Redshift connection object Parameters ---------- env_var : str name of the environment variable containing the credentials str creds_str should have the below format where the user has inserted their values: 'host=my_hostname dbname=my_dbname user=my_user password=my_password port=1234' Returns ------- psycopg2 connection object Example use ----------- conn = redshift_get_conn(env_var='REDSHIFT_CREDS') """ _env_var_validator(env_var=env_var) cred_str = os.environ[env_var] creds_dict = _create_creds_dict(cred_str) conn = psycopg2.connect(**creds_dict) return conn def read_sql(sql_filename): """ Ingests a SQL file and returns a str containing the contents of the file Parameters ---------- sql_filename : str path to and name of SQL file to be ingested Returns ------- str contents of the SQL file ingested Example use ----------- sql = read_sql(sql_filename='../sql/my_script.sql') """ if not isinstance(sql_filename, str): raise TypeError('sql_filename must be of str type') with open(sql_filename, 'r') as f: sql_str = ' '.join(f.readlines()) return sql_str def redshift_execute_sql( sql, env_var, return_data=False, return_dict=False): """ Ingests a SQL query as a string and executes it (potentially returning data) Parameters ---------- sql : str SQL query to be executed env_var : str name of the environment variable containing the credentials str creds_str should have the below format where the user has inserted their values: 'host=my_hostname dbname=my_dbname user=my_user password=my_password port=1234' return_data : bool whether or not the query should return data return_dict : bool whether or not to return data as a dict (for easy ingestion into pandas) Returns ------- None or list of str and list of tuples or dict if not return_data then None if return_data and not return_dict then list of str (column names) and list of tuples (data) if return_data and return_dict then dict with keys 'columns' and 'data' with values from above Example use ----------- # Statement that does not return data (creating/dropping tables or copying/unloading data, etc) redshift_execute_sql( sql=sql, env_var='REDSHIFT_CREDS', return_data=False, return_dict=False) # Return data as a list of tuples and the columns as a list of str data, columns = redshift_execute_sql( sql=sql, env_var='REDSHIFT_CREDS', return_data=True, return_dict=False) # Return data for direct ingestion into pandas import pandas as pd df = pd.DataFrame(**redshift_execute_sql( sql=sql, env_var='REDSHIFT_CREDS', return_data=True, return_dict=True)) """ _redshift_execute_sql_arg_validator(sql=sql, env_var=env_var, return_data=return_data, return_dict=return_dict) try: with redshift_get_conn(env_var=env_var) as conn: with conn.cursor() as cursor: cursor.execute(sql) if return_data: columns = [desc[0] for desc in cursor.description] data = [row for row in cursor] conn.commit() if return_dict: return {'data': data, 'columns': columns} else: return data, columns else: conn.commit() return except psycopg2.ProgrammingError as e: # check "Cannot find reference" warning raise RuntimeError('SQL ProgrammingError = {0}'.format(e)) except Exception as e: raise RuntimeError('SQL error = {0}'.format(e)) def _create_creds_dict(creds_str): """ Takes the credentials str and converts it to a dict Parameters ---------- creds_str : str credentials string with the below format where the user has inserted their values: 'host=my_hostname dbname=my_dbname user=my_user password=my_password port=1234' Returns ------- dict credentials in dict form """ creds_dict = {} for param in creds_str.split(' '): split_param = param.split('=') creds_dict[split_param[0]] = split_param[1] return creds_dict def _env_var_validator(env_var): """ Validates that the user is providing the an environment variable name, rather than the credentials string Parameters ---------- env_var : str the name of the environment variable referencing the Redshift credential string Returns ------- None """ creds_str_keys = ['host', 'dbname', 'user', 'password', 'port'] if all(key in env_var for key in creds_str_keys): raise ValueError('This field should contain the name of an env variable, not the credentials string') return def _redshift_execute_sql_arg_validator(sql, env_var, return_data, return_dict): """ Validates the redshift_execute_sql arguments and raises clear errors Parameters ---------- sql : str SQL query to be executed env_var : str name of the environment variable containing the credentials str return_data : bool whether or not the query should return data return_dict : bool whether or not to return data as a dict (for easy ingestion into pandas) Returns ------- None """ for arg in [sql, env_var]: if not isinstance(arg, str): raise TypeError('sql and env_var must be of str type') for arg in [return_data, return_dict]: if not isinstance(arg, bool): raise TypeError('return_data and return_dict must be of bool type') return PKJP"N>3>3nordata/_s3.pyimport os import glob import boto3 from ._boto import boto_create_session from botocore.exceptions import ClientError from boto3.exceptions import S3UploadFailedError from boto3.s3.transfer import TransferConfig def s3_get_bucket( bucket, profile_name='default', region_name='us-west-2'): """ Creates and returns a boto3 bucket object Parameters ---------- bucket : str name of S3 bucket profile_name: str profile name for credentials (default 'default' or organization-specific) region_name : str name of AWS regions (default 'us-west-2') Returns ------- boto3 bucket object Example use ----------- bucket = s3_get_bucket( bucket='my_bucket', profile_name='default', region_name='us-west-2') """ session = boto_create_session(profile_name=profile_name, region_name=region_name) s3 = session.resource('s3') my_bucket = s3.Bucket(bucket) try: s3.meta.client.head_bucket(Bucket=bucket) except ClientError as e: # Check if bucket exists, if not raise error error_code = int(e.response['Error']['Code']) if error_code == 404: raise NameError('404 Bucket does not exist') if error_code == 400: raise NameError('400 The credentials were expired or incorrect.') return my_bucket def s3_download( bucket, s3_filepath, local_filepath, profile_name='default', region_name='us-west-2', multipart_threshold=8388608, multipart_chunksize=8388608): """ Downloads a file or collection of files from S3 Parameters ---------- bucket : str name of S3 bucket s3_filepath : str or list path and filename within bucket to file(s) you would like to download local_filepath : str or list path and filename for file(s) to be saved locally profile_name : str profile name for credentials (default 'default' or organization-specific) region_name : str name of AWS region (default value 'us-west-2') multipart_threshold : int minimum file size to initiate multipart download multipart_chunksize : int chunksize for multipart download Returns ------- None Example use ----------- # Downloading a single file from S3: s3_download( bucket='my_bucket', s3_filepath='tmp/my_file.csv', local_filepath='../data/my_file.csv') # Downloading with a profile name: s3_download( bucket='my_bucket', profile_name='my-profile-name', s3_filepath='tmp/my_file.csv', local_filepath='../data/my_file.csv') # Downloading a list of files from S3 (will not upload contents of subdirectories): s3_download( bucket='my_bucket', s3_filepath=['tmp/my_file1.csv', 'tmp/my_file2.csv', 'img.png'], local_filepath=['../data/my_file1.csv', '../data/my_file2.csv', '../img.png']) # Downloading files matching a pattern from S3 (will not upload contents of subdirectories): s3_upload( bucket='my_bucket', s3_filepath='tmp/', local_filepath='../data/*.csv') # Downloading all files in a directory from S3 (will not upload contents of subdirectories): s3_upload( bucket='my_bucket', s3_filepath='tmp/', local_filepath='../data/*') """ # validate s3_filepath and local_filepath arguments _download_upload_filepath_validator(s3_filepath=s3_filepath, local_filepath=local_filepath) # create bucket object my_bucket = s3_get_bucket( bucket=bucket, profile_name=profile_name, region_name=region_name) # multipart_threshold and multipart_chunksize, defaults = Amazon defaults config = TransferConfig(multipart_threshold=multipart_threshold, multipart_chunksize=multipart_chunksize) if isinstance(s3_filepath, str): # find keys matching wildcard if '*' in s3_filepath: s3_filepath = _s3_glob(s3_filepath=s3_filepath, my_bucket=my_bucket) local_filepath = [os.path.join(local_filepath, key.split('/')[-1]) for key in s3_filepath] # insert into list so same looping structure can be used else: s3_filepath = [s3_filepath] local_filepath = [local_filepath] # download all files from S3 for s3_key, local_file in zip(s3_filepath, local_filepath): try: my_bucket.download_file( s3_key, local_file, Config=config) except ClientError as e: error_code = int(e.response['Error']['Code']) if error_code == 400: raise NameError('The credentials are expired or not valid. ' + str(e)) else: raise e return def s3_upload( bucket, local_filepath, s3_filepath, profile_name='default', region_name='us-west-2', multipart_threshold=8388608, multipart_chunksize=8388608): """ Uploads a file or collection of files to S3 Parameters ---------- bucket : str name of S3 bucket local_filepath : str or list path and filename(s) to be uploaded s3_filepath : str or list path and filename(s) within the bucket for the file to be uploaded region_name : str name of AWS region (default value 'us-west-2') profile_name : str profile name for credentials (default 'default' or organization-specific) multipart_threshold : int minimum file size to initiate multipart upload multipart_chunksize : int chunksize for multipart upload Returns ------- None Example use ----------- # Uploading a single file to S3: s3_upload( bucket='my_bucket', local_filepath='../data/my_file.csv', s3_filepath='tmp/my_file.csv') # Uploading with a profile name: s3_upload( bucket='my_bucket', profile_name='my-profile-name', local_filepath='../data/my_file.csv', s3_filepath='tmp/my_file.csv') Uploading a list of files to S3 (will not upload contents of subdirectories): s3_upload( bucket='my_bucket', local_filepath=['../data/my_file1.csv', '../data/my_file2.csv', '../img.png'], s3_filepath=['tmp/my_file1.csv', 'tmp/my_file2.csv', 'img.png']) Uploading files matching a pattern to S3 (will not upload contents of subdirectories): s3_upload( bucket='my_bucket', local_filepath='../data/*.csv', s3_filepath='tmp/') Uploading all files in a directory to S3 (will not upload contents of subdirectories): s3_upload( bucket='my_bucket', local_filepath='../data/*' s3_filepath='tmp/') """ _download_upload_filepath_validator(s3_filepath=s3_filepath, local_filepath=local_filepath) my_bucket = s3_get_bucket( bucket=bucket, profile_name=profile_name, region_name=region_name) # multipart_threshold and multipart_chunksize, defaults = Amazon defaults config = TransferConfig(multipart_threshold=multipart_threshold, multipart_chunksize=multipart_chunksize) if isinstance(local_filepath, str): if '*' in local_filepath: items = glob.glob(local_filepath) # filter out directories local_filepath = [item for item in items if os.path.isfile(item)] tmp_s3_filepath = [s3_filepath + f.split('/')[-1] for f in local_filepath] s3_filepath = tmp_s3_filepath else: local_filepath = [local_filepath] s3_filepath = [s3_filepath] # upload all files to S3 for local_file, s3_key in zip(local_filepath, s3_filepath): try: my_bucket.upload_file( local_file, s3_key, Config=config) except boto3.exceptions.S3UploadFailedError as e: raise S3UploadFailedError(str(e)) return def s3_delete( bucket, s3_filepath, profile_name='default', region_name='us-west-2'): """ Deletes a file or collection of files from S3 Parameters ---------- bucket : str name of S3 bucket s3_filepath : str or list path and filename of item(s) within the bucket to be deleted profile_name : str profile name for credentials (default 'default' or organization-specific) region_name : str name of AWS region (default value 'us-west-2') Returns ------- List Deleted keys Example use ----------- # Deleting a single file in S3: resp = s3_delete(bucket='my_bucket', s3_filepath='tmp/my_file.csv') # Deleting with a profile name: s3_upload( bucket='my_bucket', profile_name='my-profile-name', s3_filepath='tmp/my_file.csv') # Deleting a list of files in S3: resp = s3_delete( bucket='my_bucket', s3_filepath=['tmp/my_file1.csv', 'tmp/my_file2.csv', 'img.png']) # Deleting files matching a pattern in S3: resp = s3_delete(bucket='my_bucket', s3_filepath='tmp/*.csv') # Deleting all files in a directory in S3: resp = s3_delete(bucket='my_bucket', s3_filepath='tmp/*') """ _delete_filepath_validator(s3_filepath=s3_filepath) my_bucket = s3_get_bucket( bucket=bucket, profile_name=profile_name, region_name=region_name) if isinstance(s3_filepath, str): if '*' in s3_filepath: s3_filepath = _s3_glob(s3_filepath=s3_filepath, my_bucket=my_bucket) if not s3_filepath: # check if this list of S3 filepaths is empty return [] else: s3_filepath = [s3_filepath] del_dict = {} objects = [] for key in s3_filepath: objects.append({'Key': key}) del_dict['Objects'] = objects response = my_bucket.delete_objects(Delete=del_dict) return response['Deleted'] def _download_upload_filepath_validator(s3_filepath, local_filepath): """ Validates the s3_filepath and local_filepath arguments and raises clear errors Parameters ---------- s3_filepath : str or list of str path and filename of item(s) within the S3 bucket local_filepath : str or list of str path and filename for local file(s) Returns ------- None """ for arg in (s3_filepath, local_filepath): if not isinstance(arg, (list, str)): raise TypeError('Both s3_filepath and local_filepath must be of type list or str') if type(s3_filepath) != type(local_filepath): raise TypeError('Both s3_filepath and local_filepath must be of same type') if isinstance(s3_filepath, list): for f in s3_filepath + local_filepath: if not isinstance(f, str): raise TypeError('If s3_filepath and local_filepath are lists, they must contain strings') if '*' in f: raise ValueError('Wildcards (*) are not permitted within a list of filepaths') if len(s3_filepath) != len(local_filepath): raise ValueError('The s3_filepath list must the same number of elements as the local_filepath list') return def _delete_filepath_validator(s3_filepath): """ Validates the s3_filepath argument and raises clear errors Parameters ---------- s3_filepath : str or list of str path and filename of item(s) within the S3 bucket Returns ------- None """ if not isinstance(s3_filepath, (list, str)): raise TypeError('s3_filepath must be of type list or str') if isinstance(s3_filepath, list): for f in s3_filepath: if not isinstance(f, str): raise TypeError('If s3_filepath is a list, it must contain strings') if '*' in f: raise ValueError('Wildcards (*) are not permitted within a list of filepaths') return def _s3_glob(s3_filepath, my_bucket): """ Searches a directory in an S3 bucket and returns keys matching the wildcard Parameters ---------- s3_filepath : str the S3 filepath (with wildcard) to be searched for matches my_bucket : boto3 bucket object the S3 bucket object containing the directories to be searched Returns ------- list of str S3 filepaths matching the wildcard """ # use left and right for pattern matching left, _, right = s3_filepath.partition('*') # construct s3_path without wildcard s3_path = '/'.join(s3_filepath.split('/')[:-1]) + '/' filtered_s3_filepath = [] for item in my_bucket.objects.filter(Prefix=s3_path): # filter out directories if item.key[-1] != '/': p1, p2, p3 = item.key.partition(left) # pattern matching if p1 == '' and p2 == left and right in p3: filtered_s3_filepath.append(item.key) return filtered_s3_filepath PKk~M$##nordata-0.2.0.dist-info/LICENSEApache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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