[REFACTOR] Move download_jadwaldonor to donor/services.py

backend/donor/admin.py

-from main.admin import InputFilter
-from donor.models import DaftarDonor, JadwalDonor
-from django.utils.translation import gettext_lazy as _
-from django.http import HttpResponse
 from django.conf import settings
-from django.db.models import Q
 from django.contrib import admin
+from django.db.models import Q
+from django.http import HttpResponse
+from django.utils.translation import gettext_lazy as _
+
+from .models import JadwalDonor, DaftarDonor
+from .services import jadwal_donor_spreadsheet_service
+from main.admin import InputFilter
 
 
 def download_jadwaldonor(modeladmin, request, queryset):
-    import pandas as pd
-    from django_pandas.io import read_frame
-
-    response = HttpResponse(content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
-    response['Content-Disposition'] = f'attachment; filename={modeladmin.model._meta}.xlsx'
-
-    daftar_donor = DaftarDonor.download_query(queryset)
-    fieldnames = [
-        'id',
-        'jadwal_donor__time_start',
-        'user__profile__id_card_no',
-        'user__first_name',
-        'user__profile__address',
-        'user__profile__phone_no',
-        'user__profile__blood_type',
-        'user__profile__sex',
-    ]
-    df = read_frame(daftar_donor, fieldnames=fieldnames)
-    df = df.rename(columns={
-        fieldnames[0]: "NoTrans",
-        fieldnames[1]: "Tanggal",
-        fieldnames[2]: "ID",
-        fieldnames[3]: "Nama Lengkap",
-        fieldnames[4]: "Alamat",
-        fieldnames[5]: "HP",
-        fieldnames[6]: "Gol (RH)",
-        fieldnames[7]: "JK",
-    })
-
-    if len(df):
-        df['Tanggal'] = df['Tanggal'].dt.tz_localize(None)
-
-    writer = pd.ExcelWriter(response, engine='xlsxwriter')
-    df.to_excel(writer, sheet_name='Sheet1')
-
-    workbook = writer.book
-    worksheet = writer.sheets['Sheet1']
-
-    def get_col_widths(dataframe):
-        # First we find the maximum length of the index column
-        idx_max = max([len(str(s)) for s in dataframe.index.values] + [len(str(dataframe.index.name))])
-        # Then, we concatenate this to the max of the lengths of column name
-        # and its values for each column, left to right
-        return [idx_max] + [max([len(str(s)) for s in dataframe[col].values] + [len(col)]) for col in dataframe.columns]
-
-    text_format = workbook.add_format({'text_wrap': True})
-
-    for i, width in enumerate(get_col_widths(df)):
-        worksheet.set_column(i, i, width, text_format)
-
-    workbook.close()
-    return response
+    return jadwal_donor_spreadsheet_service.download_jadwaldonor(modeladmin, queryset)
 
 
 download_jadwaldonor.short_description = 'Download Jadwal Donor as Excel Workbook'

backend/donor/services.py

 import os
 
 from django.conf import settings
+from django.http import HttpResponse
+from django_pandas.io import read_frame
+import pandas as pd
 from PIL import Image, ImageDraw, ImageFont
 
 from main.utils.numbers import last_digit, second_last_digit
 from main.utils.python import default_kwargs_with_override
 
+from .models import DaftarDonor
+
 resource_path = os.path.join(settings.BASE_DIR, "donor", "resources")
 
 
@@ -228,3 +233,61 @@ class FormulirDaftarDonorService:
 
 
 formulir_daftar_donor_service = FormulirDaftarDonorService()
+
+
+class JadwalDonorSpreadsheetService:
+
+    def download_jadwaldonor(self, modeladmin, queryset):
+
+        response = HttpResponse(content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
+        response['Content-Disposition'] = f'attachment; filename={modeladmin.model._meta}.xlsx'
+
+        daftar_donor = DaftarDonor.download_query(queryset)
+        fieldnames = [
+            'id',
+            'jadwal_donor__time_start',
+            'user__profile__id_card_no',
+            'user__first_name',
+            'user__profile__address',
+            'user__profile__phone_no',
+            'user__profile__blood_type',
+            'user__profile__sex',
+        ]
+        df = read_frame(daftar_donor, fieldnames=fieldnames)
+        df = df.rename(columns={
+            fieldnames[0]: "NoTrans",
+            fieldnames[1]: "Tanggal",
+            fieldnames[2]: "ID",
+            fieldnames[3]: "Nama Lengkap",
+            fieldnames[4]: "Alamat",
+            fieldnames[5]: "HP",
+            fieldnames[6]: "Gol (RH)",
+            fieldnames[7]: "JK",
+        })
+
+        if len(df):
+            df['Tanggal'] = df['Tanggal'].dt.tz_localize(None)
+
+        writer = pd.ExcelWriter(response, engine='xlsxwriter')
+        df.to_excel(writer, sheet_name='Sheet1')
+
+        workbook = writer.book
+        worksheet = writer.sheets['Sheet1']
+
+        def get_col_widths(dataframe):
+            # First we find the maximum length of the index column
+            idx_max = max([len(str(s)) for s in dataframe.index.values] + [len(str(dataframe.index.name))])
+            # Then, we concatenate this to the max of the lengths of column name
+            # and its values for each column, left to right
+            return [idx_max] + [max([len(str(s)) for s in dataframe[col].values] + [len(col)]) for col in dataframe.columns]
+
+        text_format = workbook.add_format({'text_wrap': True})
+
+        for i, width in enumerate(get_col_widths(df)):
+            worksheet.set_column(i, i, width, text_format)
+
+        workbook.close()
+        return response
+
+
+jadwal_donor_spreadsheet_service = JadwalDonorSpreadsheetService()