From 825560dca33741b8763ff73472b680907fc9c689 Mon Sep 17 00:00:00 2001
From: Naga Sai Siva Sankar <om.ss.sankar@gmail.com>
Date: Sat, 6 Mar 2021 12:19:33 +0530
Subject: [PATCH] Create helper.py

This code will help to import data from excel sheets (csv and xlsx).
---
 helper.py | 72 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 72 insertions(+)
 create mode 100644 helper.py

diff --git a/helper.py b/helper.py
new file mode 100644
index 0000000..99739a7
--- /dev/null
+++ b/helper.py
@@ -0,0 +1,72 @@
+Follow these steps:
+
+# FOR XLSX:
+
+pip install xlrd
+
+
+import xlrd
+ 
+# Give the location of the file
+loc = ("Site_part_example.xlsx")
+ 
+wb = xlrd.open_workbook(loc)
+sheet = wb.sheet_by_index(0)
+sheet.cell_value(0, 0)
+ 
+# Extracting number of rows
+number_of_rows = sheet.nrows
+
+rows_list = []
+for i in range(number_of_rows):
+    rows_list.append(sheet.row_values(i+1))
+
+# now rows list contains all rows including heading row, to remove heading row, to take only data you have to do
+
+rows_list = rows_list[1:]
+
+# now rows list contains all the data. You can save the data like below.
+from myapp.models import SitePart
+
+for each_row in rows_list:
+    s = SitePart()
+    s.sys_site_n = each_row[0]
+    s.system_no = each_row[1]
+    s.part_name = each_row[2]
+    s.status = each_row[3]
+    s.save()
+
+# you can run the above code directly in the project root folder or you can do it using python shell with command
+python manage.py shell
+
+# FOR CSV:
+# i strongly recommend removing the spaces in file name. replaces the spaces with underscores
+import csv
+with open('Example Agency SysNumber.csv', 'r') as file:
+    reader = csv.reader(file)
+    rows_list = []
+    for row in reader:
+        rows_list.append(row)
+
+rows_list = rows_list[1:]
+# now you got the data. To save it in the model you need to check which column belongs to which field and fill the data
+from myapp.models import Agency, SystemNumber
+
+for each_row in rows_list:
+    s = SystemNumber()
+    s.system_name = each_row[0]
+    s.system_no = each_row[8]
+    s.save()
+
+    a = Agency()
+    a.system_name = each_row[0]
+    a.county = each_row[1]
+    a.state = each_row[2]
+    a.active = each_row[3]
+    a.system_type = each_row[4]
+    a.address = each_row[5]
+    a.city = each_row[6]
+    a.zipcode = each_row[7]
+    a.save()
+
+# Note that the columns in file start from 0, so you can access first column value using each_row[0] - system name in csv (first column)