hi,
I don´t have this github, so let me try to show you what I do.
Sorry if I´m not applying best practices, but this is working on my side; I
run this manually from cmd in Windows 10 (no django on this).
Content of my requirements.txt:
et-xmlfile==1.0.1
jdcal==1.3
openpyxl==2.5.1
pyodbc==4.0.22
This is something optional I did. I extracted my database connection from
the simple py file:
import pyodbc
class connection:
conn = None
def get_connection(self):
self.conn = pyodbc.connect(
r'DRIVER={ODBC Driver 13 for SQL Server};'
r'SERVER=<database server name>;'
r'DATABASE=<database name>;'
r'UID=<database user>;'
r'PWD=<user password'
)
return self.conn
This is my routine to generate excel file:
from mssqlconnection import connection
import sys
import openpyxl
import os
import calendar
import time
import datetime
import smtplib
import base64
cursor = connection().get_connection().cursor()
query_to_execute = """
the SQL query goes here
"""
def run_query(start_date, end_date):
# executing the query, also I´m passing parameters to my query (dates)
cursor.execute(query_to_execute, (start_date, end_date))
# load columns into a list
columns = [column[0] for column in cursor.description]
#print(columns)
dir_path = os.path.dirname(os.path.realpath(__file__))
print("file to be saved in following directory: %s" % dir_path)
os.chdir(dir_path)
wb = openpyxl.Workbook()
sheet = wb["Sheet"] # default sheet to be renamed
new_sheet_name = "CustomSheetName"
sheet.title = new_sheet_name
rows = cursor.fetchall()
tmpRows = 1
tmpColumns = 0
# save the columns names on first row
for column in columns:
tmpColumns += 1
sheet.cell(row = tmpRows, column = tmpColumns).value = column
# save rows, iterate over each and every row
# this process is fast, for my surprise
for row in rows:
tmpRows += 1
tmpColumns = 0
for column in columns:
tmpColumns += 1
sheet.cell(row = tmpRows, column = tmpColumns).value = str(getattr
(row,column))
excel_file_name = "myfilenamegoeshere.xlsx"
full_path = "%s\\%s" % (dir_path, excel_file_name)
wb.save(excel_file_name)
cursor.close()
write_log("excel file created with the following filename: %s" %
excel_file_name)
After Excel file is generated, I´m sending it by email.
I hopes that helps.
Gerardo.
--
Gerardo Palazuelos Guerrero
On Mon, Apr 16, 2018 at 6:50 PM, sum abiut <suab...@gmail.com> wrote:
> Thanks Larry,
> How to i pass my query parameter to the xlsxwriter.
>
> Cheers
>
>
>
> On Tue, Apr 17, 2018 at 1:42 AM, Larry Martell <larry.mart...@gmail.com>
> wrote:
>
>> I use xlsxwriter and I do it like this:
>>
>> output = io.BytesIO()
>> workbook = xlsxwriter.Workbook(output, {'in_memory': True})
>> # write file
>> output.seek(0)
>> response = HttpResponse(output.read(),
>> content_type='application/ms-excel')
>> response['Content-Disposition'] = "attachment; filename=%s" %
>> xls_name
>> return response
>>
>> On Mon, Apr 16, 2018 at 2:05 AM, sum abiut <suab...@gmail.com> wrote:
>> > my code actually worked. I thought it was going to save the excel file
>> to
>> > 'C:\excel' folder so i was looking for the file in the folder but i
>> couldn't
>> > find the excel file. The excel file was actually exported to my django
>> > project folder instead.
>> >
>> > How to i allow the end user to be able to download the file to their
>> desktop
>> > instead of exporting it to the server itself
>> >
>> >
>> >
>> > On Mon, Apr 16, 2018 at 3:27 PM, sum abiut <suab...@gmail.com> wrote:
>> >>
>> >> I wrote a function to export sql query to an excel file, but some how
>> the
>> >> excel file wasn't created when the function was call. appreciate any
>> >> assistances
>> >>
>> >> here is my view.py
>> >>
>> >> def download_excel(request):
>> >> if "selectdate" in request.POST:
>> >> if "selectaccount" in request.POST:
>> >> selected_date = request.POST["selectdate"]
>> >> selected_acc = request.POST["selectaccount"]
>> >> if selected_date==selected_date:
>> >> if selected_acc==selected_acc:
>> >> convert=datetime.datetime.strptime(selected_date,
>> >> "%Y-%m-%d").toordinal()
>> >>
>> >> engine=create_engine('mssql+pymssql://username:password@servername
>> /db')
>> >> connection = engine.connect()
>> >> metadata=MetaData()
>> >>
>> >> fund=Table('gltrxdet',metadata,autoload=True,autoload_with=engine)
>> >>
>> >> rate=Table('gltrx_all',metadata,autoload=True,autoload_with=engine)
>> >>
>> >> stmt=select([fund.columns.account_code,fund.columns.descript
>> ion,fund.columns.nat_balance,fund.columns.rate_type_home,
>> rate.columns.date_applied,rate.columns.date_entered,
>> fund.columns.journal_ctrl_num,rate.columns.journal_ctrl_num])
>> >>
>> >> stmt=stmt.where(and_(rate.columns.journal_ctrl_num==fund.
>> columns.journal_ctrl_num,fund.columns.account_code==selected
>> _acc,rate.columns.date_entered==convert))
>> >>
>> >> df = pd.read_sql(stmt,connection)
>> >>
>> >> writer = pd.ExcelWriter('C:\excel\export.xls')
>> >> df.to_excel(writer, sheet_name ='bar')
>> >> writer.save()
>> >>
>> >>
>> >
>> >
>> >
>> > --
>> >
>> > --
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