Old Version

2023-07-24 20:52:13 -04:00
parent be33305cf1
commit b7fc538e78
165 changed files with 0 additions and 10974 deletions
--- a/bin/Pipfile
+++ b/bin/Pipfile
@ -1,12 +0,0 @@
-[[source]]
-name = "pypi"
-url = "https://pypi.org/simple"
-verify_ssl = true
-
-[dev-packages]
-
-[packages]
-gunicorn = "*"
-
-[requires]
-python_version = "3.8"
--- a/bin/console
+++ b/bin/console
@ -1,3 +0,0 @@
-#!/bin/bash
-
-php /code/bin/index.php "$@"
--- a/bin/index.php
+++ b/bin/index.php
@ -1,8 +0,0 @@
-<?php
-//$__environment = 'cli';
-$app = include_once implode(DIRECTORY_SEPARATOR, [
-    dirname(__FILE__, 2),
-    'setup',
-    'cli.app.php'
-]);
-$app->run();
--- a/bin/informes/Pipfile
+++ b/bin/informes/Pipfile
@ -1,16 +0,0 @@
-[[source]]
-name = "pypi"
-url = "https://pypi.org/simple"
-verify_ssl = true
-
-[dev-packages]
-
-[packages]
-pandas = "*"
-xlsxwriter = "*"
-httpx = "*"
-flask = "*"
-numpy = "*"
-
-[requires]
-python_version = "3.8"
--- a/bin/informes/app.py
+++ b/bin/informes/app.py
@ -1,14 +0,0 @@
-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)
--- a/bin/informes/controllers/ventas.py
+++ b/bin/informes/controllers/ventas.py
@ -1,141 +0,0 @@
-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', 'Precio']
-    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', 'Precio']
-    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', 'Precio']
-    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'})