|
|
|
@ -3,7 +3,7 @@ This file encapsulates common operations associated with SQL databases via SQLAl
|
|
|
|
|
|
|
|
|
|
"""
|
|
|
|
|
import sqlalchemy as sqa
|
|
|
|
|
from sqlalchemy import text , MetaData, Table
|
|
|
|
|
from sqlalchemy import text , MetaData, inspect
|
|
|
|
|
|
|
|
|
|
import pandas as pd
|
|
|
|
|
|
|
|
|
@ -51,16 +51,9 @@ class Base:
|
|
|
|
|
# _schema = [{"name":_attr.name,"type":_map.get(str(_attr.type),str(_attr.type))} for _attr in _handler.tables[_table].columns]
|
|
|
|
|
#
|
|
|
|
|
|
|
|
|
|
# Step 2: Create a MetaData object
|
|
|
|
|
metadata = MetaData()
|
|
|
|
|
|
|
|
|
|
# Step 3: Reflect the table
|
|
|
|
|
table = Table(_table, metadata, autoload_with=self._engine)
|
|
|
|
|
|
|
|
|
|
# Step 4: Print the column names and their types
|
|
|
|
|
_schema = [{"name":column.name,"type":_map.get(str(column.type),str(column.type))} for column in table.columns]
|
|
|
|
|
# _schema
|
|
|
|
|
# print(f"name: {column.name, Type: {column.type}")
|
|
|
|
|
_inspector = inspect(self._engine)
|
|
|
|
|
_columns = _inspector.get_columns(_table)
|
|
|
|
|
_schema = [{'name':column['name'],'type':str(column['type']) } for column in _columns]
|
|
|
|
|
return _schema
|
|
|
|
|
def has(self,**_args):
|
|
|
|
|
return self.meta(**_args)
|
|
|
|
|