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sql_server_utils.py
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sql_server_utils.py
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import json
import os
class SSDatatypes():
def __init__(self, data_file_name = None):
# load in the json file with the conversions...
if not data_file_name:
data_file_name = 'datatypes.json'
data = {}
if not os.path.exists(data_file_name):
data['meta'] = {}
data['meta']['classifiers'] = {}
data['meta']['classifiers']['Numeric Exact'] = {'fields': ['min', 'max']}
data['meta']['classifiers']['Numeric Aprox'] = {'fields': ['min', 'max', 'presicion']}
data['meta']['classifiers']['Date'] = {'fields': ['precision']}
data['meta']['classifiers']['Character'] = {'fields':['length', 'default', 'max']}
data['meta']['classifiers']['Unicode'] = {'fields':['length', 'default', 'max']}
data['meta']['classifiers']['Binary'] = {'fields':['length', 'max']}
data['meta']['classifiers']['Other'] = {'fields':[]}
types = []
for t in data['meta']['classifiers']:
row = {}
row["classifier"] = t
row["datatype"] = "<<please enter data type name>>"
r = data['meta']['classifiers'][t]
for f in r['fields']:
row[f] = ''
types.append(row)
data['types'] = types
with open(data_file_name, 'w') as outfile:
outfile.write(json.dumps(data, indent = 4))
else:
with open(data_file_name) as infile:
data = json.loads(infile)
print(json.dumps(data, indent=4))
class DB_Columns():
def __init__(self, name = None, data_type = None,
length = None, source = 'SQLServer'
):
"""this will store the relevant column information, the class will
convert to other types, and try to apply naming convention for the
source"""
self.name = name
self.data_type = data_type
self.length = length
self.source = source
class SSTableSize():
def __init__(self, num_rows = 1000,
columns = []
):
""""""
pass
if __name__ == "__main__":
obj = SSDatatypes()