Steve L. Nyemba
11 months ago
committed by
GitHub
commit
ac5d64242d
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"""
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This file implements databricks handling, This functionality will rely on databricks-sql-connector
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LICENSE (MIT)
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Copyright 2016-2020, The Phi Technology LLC
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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@TODO:
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- Migrate SQLite to SQL hierarchy
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- Include Write in Chunks from pandas
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"""
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import os
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import sqlalchemy
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from transport.common import Reader,Writer
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import pandas as pd
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class Bricks:
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"""
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:host
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:token
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:database
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:cluster_path
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:table
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"""
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def __init__(self,**_args):
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_host = _args['host']
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_token= _args['token']
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_cluster_path = _args['cluster_path']
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self._schema = _args['schema'] if 'schema' in _args else _args['database']
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_catalog = _args['catalog']
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self._table = _args['table'] if 'table' in _args else None
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#
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# @TODO:
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# Sometimes when the cluster isn't up and running it takes a while, the user should be alerted of this
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#
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_uri = f'''databricks://token:{_token}@{_host}?http_path={_cluster_path}&catalog={_catalog}&schema={self._schema}'''
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self._engine = sqlalchemy.create_engine (_uri)
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pass
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def meta(self,**_args):
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table = _args['table'] if 'table' in _args else self._table
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if not table :
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return []
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else:
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if sqlalchemy.__version__.startswith('1.') :
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_m = sqlalchemy.MetaData(bind=self._engine)
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_m.reflect(only=[table])
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else:
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_m = sqlalchemy.MetaData()
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_m.reflect(bind=self._engine)
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#
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# Let's retrieve te information associated with a table
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#
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return [{'name':_attr.name,'type':_attr.type} for _attr in _m.tables[table].columns]
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def has(self,**_args):
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return self.meta(**_args)
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def apply(self,_sql):
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try:
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if _sql.lower().startswith('select') :
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return pd.read_sql(_sql,self._engine)
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except Exception as e:
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pass
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class BricksReader(Bricks,Reader):
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"""
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This class is designed for reads and will execute reads against a table name or a select SQL statement
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"""
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def __init__(self,**_args):
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super().__init__(**_args)
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def read(self,**_args):
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limit = None if 'limit' not in _args else str(_args['limit'])
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if 'sql' in _args :
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sql = _args['sql']
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elif 'table' in _args :
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table = _args['table']
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sql = f'SELECT * FROM {table}'
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if limit :
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sql = sql + f' LIMIT {limit}'
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if 'sql' in _args or 'table' in _args :
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return self.apply(sql)
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else:
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return pd.DataFrame()
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pass
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class BricksWriter(Bricks,Writer):
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def __init__(self,**_args):
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super().__init__(**_args)
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def write(self,_data,**_args):
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"""
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This data will write data to data-bricks against a given table. If the table is not specified upon initiazation, it can be specified here
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_data: data frame to push to databricks
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_args: chunks, table, schema
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"""
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_schema = self._schema if 'schema' not in _args else _args['schema']
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_table = self._table if 'table' not in _args else _args['table']
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_df = _data if type(_data) == pd.DataFrame else _data
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if type(_df) == dict :
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_df = [_df]
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if type(_df) == list :
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_df = pd.DataFrame(_df)
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_df.to_sql(
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name=_table,schema=_schema,
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con=self._engine,if_exists='append',index=False);
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pass
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"""
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We are implementing transport to and from nextcloud (just like s3)
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"""
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import os
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import sys
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from transport.common import Reader,Writer, IEncoder
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import pandas as pd
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from io import StringIO
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import json
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import nextcloud_client as nextcloud
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class Nextcloud :
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def __init__(self,**_args):
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pass
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self._delimiter = None
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self._handler = nextcloud.Client(_args['url'])
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_uid = _args['uid']
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_token = _args['token']
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self._uri = _args['folder'] if 'folder' in _args else './'
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if self._uri.endswith('/') :
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self._uri = self._uri[:-1]
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self._file = None if 'file' not in _args else _args['file']
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self._handler.login(_uid,_token)
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def close(self):
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try:
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self._handler.logout()
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except Exception as e:
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pass
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class NextcloudReader(Nextcloud,Reader):
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def __init__(self,**_args):
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# self._file = [] if 'file' not in _args else _args['file']
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super().__init__(**_args)
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pass
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def read(self,**_args):
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_filename = self._file if 'file' not in _args else _args['file']
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#
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# @TODO: if _filename is none, an exception should be raised
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#
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_uri = '/'.join([self._uri,_filename])
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if self._handler.get_file(_uri) :
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#
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#
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_info = self._handler.file_info(_uri)
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_content = self._handler.get_file_contents(_uri).decode('utf8')
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if _info.get_content_type() == 'text/csv' :
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#
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# @TODO: enable handling of csv, xls, parquet, pickles
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_file = StringIO(_content)
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return pd.read_csv(_file)
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else:
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#
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# if it is neither a structured document like csv, we will return the content as is
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return _content
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return None
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class NextcloudWriter (Nextcloud,Writer):
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"""
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This class will write data to an instance of nextcloud
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"""
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def __init__(self,**_args) :
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super().__init__(**_args)
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self
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def write(self,_data,**_args):
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"""
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This function will upload a file to a given destination
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:file has the uri of the location of the file
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"""
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_filename = self._file if 'file' not in _args else _args['file']
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_uri = '/'.join([self._uri,_filename])
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if type(_data) == pd.DataFrame :
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f = StringIO()
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_data.to_csv(f,index=False)
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_content = f.getvalue()
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elif type(_data) == dict :
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_content = json.dumps(_data,cls=IEncoder)
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else:
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_content = str(_data)
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self._handler.put_file_contents(_uri,_content)
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@ -1,2 +1,2 @@
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__author__ = 'The Phi Technology'
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__author__ = 'The Phi Technology'
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__version__= '1.8.2'
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__version__= '1.9.2'
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