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143 lines
5.2 KiB
Python
143 lines
5.2 KiB
Python
"""
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This file encapsulates common operations associated with SQL databases via SQLAlchemy
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"""
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import sqlalchemy as sqa
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from sqlalchemy import text
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import pandas as pd
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class Base:
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def __init__(self,**_args):
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# print ([' ## ',_args])
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self._host = _args['host'] if 'host' in _args else 'localhost'
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self._port = None if 'port' not in _args else _args['port']
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self._database = _args['database']
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self._table = _args['table'] if 'table' in _args else None
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self._engine= sqa.create_engine(self._get_uri(**_args),future=True)
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self._chunksize = 0 if 'chunksize' not in _args else _args['chunksize']
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def _set_uri(self,**_args) :
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"""
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:provider provider
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:host host and port
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:account account user/pwd
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"""
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_account = _args['account'] if 'account' in _args else None
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_host = _args['host']
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_provider = _args['provider'].replace(':','').replace('/','').strip()
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def _get_uri(self,**_args):
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"""
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This function will return the formatted uri for the sqlAlchemy engine
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"""
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raise Exception ("Function Needs to be implemented ")
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def meta (self,**_args):
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"""
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This function returns the schema (table definition) of a given table
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:table optional name of the table (can be fully qualified)
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"""
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_table = self._table if 'table' not in _args else _args['table']
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_schema = []
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if _table :
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if sqa.__version__.startswith('1.') :
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_handler = sqa.MetaData(bind=self._engine)
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_handler.reflect()
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else:
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#
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# sqlalchemy's version 2.+
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_handler = sqa.MetaData()
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_handler.reflect(bind=self._engine)
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#
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# Let us extract the schema with the native types
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_map = {'BIGINT':'INTEGER','TEXT':'STRING','DOUBLE_PRECISION':'FLOAT','NUMERIC':'FLOAT','DECIMAL':'FLOAT','REAL':'FLOAT'}
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_schema = [{"name":_attr.name,"type":_map.get(str(_attr.type),str(_attr.type))} for _attr in _handler.tables[_table].columns]
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return _schema
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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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"""
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Executing sql statement that returns query results (hence the restriction on sql and/or with)
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:sql SQL query to be exectued
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@TODO: Execution of stored procedures
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"""
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if sql.lower().startswith('select') or sql.lower().startswith('with') :
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if self._chunksize :
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return pd.read_sql(sql,self._engine,chunksize=self._chunksize)
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else:
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return pd.read_sql(sql,self._engine)
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else:
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_handler = self._engine.connect()
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_handler.execute(text(sql))
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_handler.commit ()
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_handler.close()
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return None
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class SQLBase(Base):
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def __init__(self,**_args):
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super().__init__(**_args)
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def get_provider(self):
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raise Exception ("Provider Needs to be set ...")
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def get_default_port(self) :
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raise Exception ("default port needs to be set")
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def _get_uri(self,**_args):
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_host = self._host
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_account = ''
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if self._port :
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_port = self._port
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else:
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_port = self.get_default_port()
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_host = f'{_host}:{_port}'
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if 'username' in _args :
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_account = ''.join([_args['username'],':',_args['password'],'@'])
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_database = self._database
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_provider = self.get_provider().replace(':','').replace('/','')
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# _uri = [f'{_provider}:/',_account,_host,_database]
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# _uri = [_item.strip() for _item in _uri if _item.strip()]
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# return '/'.join(_uri)
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return f'{_provider}://{_host}/{_database}' if _account == '' else f'{_provider}://{_account}{_host}/{_database}'
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class BaseReader(SQLBase):
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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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"""
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This function will read a query or table from the specific database
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"""
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if 'sql' in _args :
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sql = _args['sql']
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else:
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# print (dir (self))
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_table = _args['table'] if 'table' in _args else self._table
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sql = f'SELECT * FROM {_table}'
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return self.apply(sql)
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class BaseWriter (SQLBase):
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"""
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This class implements SQLAlchemy support for Writting to a data-store (RDBMS)
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"""
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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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if type(_data) in [list,dict] :
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_df = pd.DataFrame(_data)
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# elif type(_data) == list :
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# _df = pd.DataFrame(_data)
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else:
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_df = _data.copy()
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#
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# We are assuming we have a data-frame at this point
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#
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_table = _args['table'] if 'table' in _args else self._table
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_mode = {'if_exists':'append','index':False}
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if self._chunksize :
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_mode['chunksize'] = self._chunksize
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for key in ['if_exists','index','chunksize'] :
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if key in _args :
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_mode[key] = _args[key]
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_df.to_sql(_table,self._engine,**_mode) |