Incoviba/intranet
3
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Python

Browse Source
This commit is contained in:
Aldarien
2020-12-01 17:23:40 -03:00
parent 9852a8cbdc
commit 45f1c87e87
4 changed files with 182 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
bin/Pipfile Normal file
View File

@ -0,0 +1,11 @@
[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true
[dev-packages]
[packages]
[requires]
python_version = "3.8"

16
bin/informes/Pipfile Normal file
View File

@ -0,0 +1,16 @@
[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true
[dev-packages]
[packages]
pandas = "*"
xlsxwriter = "*"
httpx = "*"
flask = "*"
numpy = "*"
[requires]
python_version = "3.8"

14
bin/informes/app.py Normal file
View File

@ -0,0 +1,14 @@
import argparse
from flask import Flask
from controllers.ventas import ventas_blueprint
app = Flask(__name__)
app.register_blueprint(ventas_blueprint, url_prefix='/ventas')
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-p', '--port', default=8011)
args = parser.parse_args()
app.run(port=args.port, debug=True)

141
bin/informes/controllers/ventas.py Normal file
View File

@ -0,0 +1,141 @@
from flask import Blueprint, request, Response
import io
import json
import pandas as pd
import numpy as np
import datetime
ventas_blueprint = Blueprint('ventas', __name__,)
def format_data(data):
df = pd.DataFrame(data)
int_columns = ['Departamento', 'Estacionamientos', 'Bodegas']
for col in int_columns:
df[col] = pd.to_numeric(df[col], errors='ignore')
float_columns = ['Valor Promesa', 'Pie', 'Pie Pagado', '% Pie Pagado', 'Bono Pie', 'Valor Operador',
'Premios', 'Subsidio', 'Ahorro', 'Credito', 'Valor Ests & Bods', 'Valor Neto',
'UF/m²*', 'Comision', 'Venta s/Comision']
for col in float_columns:
if col in df.columns:
df[col] = pd.to_numeric(df[col], errors='coerce')
df = df.replace(np.nan, 0, regex=True)
df['Fecha Venta'] = pd.to_datetime(df['Fecha Venta'], format='%Y-%m-%d')
df = df.sort_values(by=['Fecha Venta', 'Departamento'])
df['Fecha Venta'] = df['Fecha Venta'].dt.strftime('%d.%m.%Y')
return df
def format_columns(workbook, columns):
column_settings = [{'header': column} for column in columns]
center_format = workbook.add_format({'align': 'center'})
amount_format = workbook.add_format({'num_format': '#,##0.00'})
percent_format = workbook.add_format({'num_format': '0.00%'})
amount_columns = ['m² Ponderados', 'Valor Promesa', 'Pie', 'Pie Pagado', 'Bono Pie', 'Valor Operador', 'Premios',
'Subsidio', 'Ahorro', 'Credito', 'Valor Ests & Bods', 'Valor Neto', 'UF/m²*', 'Comision',
'Venta s/Comision']
center_columns = ['Departamento', 'Estacionamientos', 'Bodegas']
sum_columns = ['m² Ponderados', 'Valor Promesa', 'Pie', 'Pie Pagado', 'Bono Pie', 'Subsidio', 'Ahorro', 'Credito',
'Valor Operador', 'Premios', 'Valor Ests & Bods', 'Valor Neto', 'Comision']
count_columns = ['Departamento', 'Estacionamientos', 'Bodegas']
for (k, col) in enumerate(column_settings):
if col['header'] in amount_columns:
column_settings[k]['format'] = amount_format
if col['header'] in center_columns:
column_settings[k]['format'] = center_format
if col['header'] in sum_columns:
column_settings[k]['total_function'] = 'sum'
if col['header'] in count_columns:
column_settings[k]['total_function'] = 'count'
if col['header'] == '% Pie Pagado':
column_settings[k]['format'] = percent_format
if col['header'] == 'Propietario':
column_settings[k]['total_string'] = 'TOTAL'
return column_settings
def format_excel(workbook, worksheet, data):
center_format = workbook.add_format({'align': 'center'})
amount_format = workbook.add_format({'num_format': '#,##0.00'})
percent_format = workbook.add_format({'num_format': '0.00%'})
amount_columns = ['m² Ponderados', 'Valor Promesa', 'Pie', 'Pie Pagado', 'Bono Pie', 'Valor Operador', 'Premios',
'Subsidio', 'Ahorro', 'Credito', 'Valor Ests & Bods', 'Valor Neto', 'UF/m²*', 'Comision',
'Venta s/Comision']
center_columns = ['Departamento', 'Estacionamientos', 'Bodegas']
for col in amount_columns:
if col not in data.columns:
continue
k = data.columns.get_loc(col) + 1
worksheet.set_column(k, k, cell_format=amount_format)
for col in center_columns:
if col not in data.columns:
continue
k = data.columns.get_loc(col) + 1
worksheet.set_column(k, k, cell_format=center_format)
col = '% Pie Pagado'
k = data.columns.get_loc(col) + 1
worksheet.set_column(k, k, cell_format=percent_format)
return worksheet
@ventas_blueprint.route('', methods=['POST'])
def ventas():
data = json.loads(request.data)
output = io.BytesIO()
writer = pd.ExcelWriter('tmp.xlsx', engine='xlsxwriter')
df = format_data(data['data'])
start_row = 4
if 'Compañía' in data:
start_row += 1
df.to_excel(writer, startrow=start_row+1, startcol=1, header=False, index=False, sheet_name='Ventas')
wb = writer.book
wb.filename = output
title_format = wb.add_format({'font_size': 16, 'bold': True})
ws = writer.sheets['Ventas']
(max_row, max_col) = df.shape
if 'Compañía' in data:
ws.merge_range(1, 1, 1, max_col, data['Compañía'])
ws.merge_range(start_row-3, 1, start_row-3, max_col, data['Proyecto'], cell_format=title_format)
ws.write_string(start_row-2, 1, 'Ventas')
column_settings = format_columns(wb, df.columns)
ws.add_table(start_row, 1, max_row+start_row+1, max_col, {'name': 'Ventas', 'total_row': 1,
'columns': column_settings,
'style': 'Table Style Medium 1'})
ws = format_excel(wb, ws, df)
column_widths = {
'B': 46,
'C': 16,
'D': 18,
'E': 10,
'F': 13,
'G': 7,
'H': 8,
'I': 16,
'J': 16,
'K': 13,
'L': 14
}
for (col, wd) in column_widths.items():
ws.set_column('{0}:{0}'.format(col), wd)
writer.save()
output.seek(0)
date = datetime.date.today()
filename = "Informe de Ventas - {0} - {1}.xlsx".format(data['Proyecto'], date.strftime('%Y-%m-%d'))
return Response(output, mimetype="application/ms-excel",
headers={"Content-Disposition": "attachment;filename={0}".format(filename),
"Content-Type": 'application/octet-stream; charset=utf-8'})