Thanks guys it took me a while and a lot of research, finally get it to
work.
my view.py
import pandas as pd
from django.http import HttpResponse
try:
from io import BytesIO as IO # for modern python
except ImportError:
from StringIO import StringIO as IO # for legacy python
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')
metadata=MetaData(connection)
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.description,fund.columns.nat_balance,rate.columns.date_applied,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_applied==convert))
results=connection.execute(stmt)
sio = StringIO()
df = pd.DataFrame(data=list(results),
columns=results.keys())
####dowload excel file##########
excel_file = IO()
xlwriter = pd.ExcelWriter(excel_file, engine='xlsxwriter')
df.to_excel(xlwriter, 'sheetname')
xlwriter.save()
xlwriter.close()
excel_file.seek(0)
response = HttpResponse(excel_file.read(),
content_type='application/ms-excel
vnd.openxmlformats-officedocument.spreadsheetml.sheet')
# set the file name in the Content-Disposition header
response['Content-Disposition'] = 'attachment;
filename=myfile.xls'
return response
On Tue, Apr 17, 2018 at 1:40 PM, Gerardo Palazuelos Guerrero <
gerardo.palazue...@gmail.com> wrote:
> 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,rat
>>> e.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.col
>>> umns.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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>>
>>
>>
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