-
Notifications
You must be signed in to change notification settings - Fork 0
/
get_data_org_iesa.py
181 lines (156 loc) · 5.6 KB
/
get_data_org_iesa.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
#!/usr/bin/env python
"""
Wed, Oct 23, 2019
Stacy Bridges
"""
# import library components ---------------------------------------------------
# import shutil
import os, sys
import pyodbc
import pathlib
from pathlib import Path
import pandas as pd
from pandas import ExcelWriter
from pandas import ExcelFile
import numpy as np
# import py files -------------------------------------------------------------
import menu
# global variables ------------------------------------------------------------
menu_nums = []
menu_choices = []
# helper functions ------------------------------------------------------------
def get_connection_object():
# connection info
server = 'sql.wrangle.works'
database = 'IESA'
username = 'stacy'
password = '8d39c!76b8d1'
connection = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER='+server+';DATABASE='+database+';UID='+username+';PWD='+ password)
return connection
def get_menu_choices(connection):
# rem use SQL query to get the categories
sql = 'SELECT DISTINCT ProductCategory FROM ProductsOriginal ORDER BY ProductCategory ASC'
cursor = connection.cursor().execute(sql)
#choices = ['Show Main Menu', 'MechPT', 'Electrical', 'FluidPower', 'PPE', 'Tools']
choices = []
choices.append('Show Main Menu')
row = cursor.fetchone()
row_count = 0
while row:
for i in row:
choices.append(i)
row_count += 1
row = cursor.fetchone()
return choices
def show_menu(connection):
global menu_nums
global menu_choices
# print user menu
print('\nBuilding Menu...')
print('\n------------------------------------------------------')
print(' Get Original Data - Categories Menu')
print('------------------------------------------------------')
spacer =' '
menu_choices = get_menu_choices(connection)
i = 0
num = ''
for mc in menu_choices:
if i == 0:
num = 'm'
else:
num = str(i)
print('{}{}{}'.format(num, spacer, mc))
menu_nums.append(num)
i += 1
def get_user_choice():
global menu_choices
# get user choice
print('\nSelect a category (or \'m\' for Main Menu)')
user_choice = input()
# validate user input
while user_choice not in menu_nums:
print('Invalid choice! Select a category (or \'m\' for Main Menu)')
user_choice = input()
if user_choice == 'm':
menu.main()
# if the user chooses 'm', then program control goes back to menu.main(),
# which means that when menu.main() terminates, the program control will
# return to this program; therefore, it's important to invoke sys.exit()
# upon the callback to terminate all py execution in the terminal
sys.exit()
else:
index = int(user_choice)
return menu_choices[int(user_choice)]
# main ------------------------------------------------------------------------
def main():
print('You called \'get_data_org_iesa.py\'') # temp message
print('Building menu...')
connection = get_connection_object() # get the connection object
show_menu(connection) # show the menu of category choices
category = get_user_choice() # get user choice of category
# connect to db and query for data per user-selected category
print('You selected the category \'' + category + '\'')
print('Connecting to the database...')
# query info
data_query = [
'SELECT '
'ID, ProductCategory, Description, LongText, ',
'Manuf as Brand, mMat as MPN, vMaterial as vMPN ',
'FROM ProductsOriginal ',
'WHERE ProductCategory = \'' + category + '\' ORDER BY ID ASC'
]
sql = ''
for str in data_query:
sql = sql + str + ' '
cursor = connection.cursor().execute(sql)
# create dictionary of results from query
columns = [column[0] for column in cursor.description]
results = []
record_count = 0
for row in cursor.fetchall():
results.append(dict(zip(columns, row)))
record_count += 1
print('record {}'.format(record_count))
# parse the list of data dictionaries that was created in the previous step
# so that you have a pd array for each db column that was returned by sql query
# ... but first, identify your pd arrays
id = []
productCategory = []
description = []
longText = []
brand = []
mpn = []
vmpn = []
# put the pd arrays into a master array so that you can iterate through them
pd_arrays = [id, productCategory, description, longText, brand, mpn, vmpn]
# now, iterate through the master array, and parse your list of dicts
# into the individual pd arrays
print('\nWriting results to dataframe...')
for d in results:
index = 0
for k,v in d.items():
pd_arrays[index].append(v)
index +=1
# print query results to excel file ---------------------------------------
df = pd.DataFrame({
'ID':id,
'ProductCategory':productCategory,
'Description':description,
'LongText':longText,
'Brand':brand,
'MPN':mpn,
'vMPN':vmpn
})
data_file_path = folder_path = os.path.dirname(os.path.abspath(__file__))
data_file_name = 'db_data_org_iesa_' + category + '.xlsx'
outfile = data_file_path + '\\' + data_file_name
writer = pd.ExcelWriter(outfile)
df.to_excel(writer,'Sheet1', index=False)
writer.save()
# end program
print('\n')
print('{} records written'.format(record_count))
print(data_file_name)
print(outfile)
print('Done.')
if __name__ == '__main__' : main()