6 changed files with 280 additions and 44 deletions
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105apps/hadis/management/commands/pop_data.py
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23apps/hadis/migrations/0027_transmitterrelative_relation_value_and_more.py
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69apps/hadis/models/transmitter.py
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27apps/hadis/serializers/hadis.py
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5apps/hadis/urls.py
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95apps/hadis/views/transmitter.py
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# backend/apps/hadis/management/commands/populate_remaining_data.py |
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import random |
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from django.core.management.base import BaseCommand |
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from django.db import transaction |
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from django.db.models import Q |
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from apps.hadis.models import Transmitters, TransmitterRelative, TransmitterOpinion |
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from apps.hadis.models.transmitter import RELATION_TYPE_MAP |
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class Command(BaseCommand): |
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help = 'Populates missing companion_type, default Arabic opinions, and generates 10 random relatives.' |
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def handle(self, *args, **options): |
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self.stdout.write(self.style.WARNING("Starting population script...")) |
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# ========================================== |
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# 1. Populate Companion Type |
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# ========================================== |
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comp_updated = Transmitters.objects.filter( |
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Q(companion_type__isnull=True) | Q(companion_type="") |
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).update(companion_type="al-A'la ibn Wasil") |
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self.stdout.write(self.style.SUCCESS(f"✅ Updated {comp_updated} narrators with companion_type.")) |
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# ========================================== |
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# 2. Populate Transmitter Opinions (Arabic Text) |
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# ========================================== |
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opinions = TransmitterOpinion.objects.all() |
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opinions_to_update = [] |
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default_ar_text = {"language_code": "ar", "text": "ثقة، وهو أثبت من عبد الرحمن بن مهدي."} |
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for op in opinions: |
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if not op.opinion_text: |
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op.opinion_text = [default_ar_text] |
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opinions_to_update.append(op) |
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elif isinstance(op.opinion_text, list): |
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# بررسی اینکه آیا رکورد عربی وجود دارد یا خیر |
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has_ar = any(isinstance(item, dict) and item.get('language_code') == 'ar' for item in op.opinion_text) |
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if not has_ar: |
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op.opinion_text.append(default_ar_text) |
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opinions_to_update.append(op) |
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if opinions_to_update: |
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TransmitterOpinion.objects.bulk_update(opinions_to_update, ['opinion_text'], batch_size=500) |
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self.stdout.write(self.style.SUCCESS(f"✅ Updated {len(opinions_to_update)} opinions with default Arabic text.")) |
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else: |
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self.stdout.write(self.style.SUCCESS("✅ All opinions already have Arabic text.")) |
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# ========================================== |
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# 3. Populate Relatives (10 per narrator: 5, 4, 1) |
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# ========================================== |
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# پیدا کردن راویانی که هیچ نسبتی برایشان ثبت نشده است |
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narrators_without_relatives = Transmitters.objects.filter(relatives__isnull=True).distinct() |
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count = narrators_without_relatives.count() |
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if count == 0: |
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self.stdout.write(self.style.SUCCESS("✅ All narrators already have relatives.")) |
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return |
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all_transmitter_ids = list(Transmitters.objects.values_list('id', flat=True)) |
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if not all_transmitter_ids: |
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self.stdout.write(self.style.ERROR("❌ No transmitters found in DB to link.")) |
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return |
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# 10 اسم رندوم پیشفرض |
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NAMES = ["عمر", "علي", "فاطمة", "خديجة", "زينب", "حسن", "حسين", "محمد", "أحمد", "عائشة"] |
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relation_choices = [choice[0] for choice in TransmitterRelative.RelationTypeChoices.choices] |
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new_relatives = [] |
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for narrator in narrators_without_relatives: |
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group_sizes = [5, 4, 1] |
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# انتخاب ۳ نوع رابطه رندوم و متفاوت برای این راوی |
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selected_types = random.sample(relation_choices, 3) |
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# بر هم زدن لیست اسمها |
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shuffled_names = random.sample(NAMES, 10) |
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# انتخاب ۳ ایندکس رندوم (از بین 0 تا 9) که قرار است به راویان دیگر متصل شوند |
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linked_indices = set(random.sample(range(10), 3)) |
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current_idx = 0 |
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for i, size in enumerate(group_sizes): |
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rel_type = selected_types[i] |
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rel_val = RELATION_TYPE_MAP.get(rel_type, []) |
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for _ in range(size): |
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linked_narrator_id = None |
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# اگر ایندکس فعلی جزو ۳ ایندکس خوششانس بود، یک راوی رندوم به آن متصل کن |
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if current_idx in linked_indices: |
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linked_narrator_id = random.choice(all_transmitter_ids) |
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new_relatives.append( |
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TransmitterRelative( |
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related_to=narrator, |
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relation_type=rel_type, |
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relation_value=rel_val, # اعمال دستی به دلیل استفاده از bulk_create |
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name=shuffled_names[current_idx], |
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narrator_id=linked_narrator_id |
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) |
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) |
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current_idx += 1 |
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with transaction.atomic(): |
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TransmitterRelative.objects.bulk_create(new_relatives, batch_size=1000) |
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self.stdout.write(self.style.SUCCESS(f"🎉 Successfully created {len(new_relatives)} relatives for {count} narrators!")) |
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@ -0,0 +1,23 @@ |
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# Generated by Django 5.2.12 on 2026-06-28 14:31 |
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from django.db import migrations, models |
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class Migration(migrations.Migration): |
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dependencies = [ |
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('hadis', '0026_transmitterrelative'), |
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] |
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operations = [ |
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migrations.AddField( |
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model_name='transmitterrelative', |
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name='relation_value', |
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field=models.JSONField(default=list, verbose_name='Relation Value'), |
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), |
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migrations.AlterField( |
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model_name='transmitterrelative', |
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name='relation_type', |
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field=models.CharField(choices=[('stepfather', 'Stepfather'), ('stepmother', 'Stepmother'), ('uncles_and_aunts', 'Uncles and aunts'), ('siblings', 'Siblings'), ('parents', 'Parents'), ('nephews_and_nieces', 'Nephews and nieces'), ('children', 'Children'), ('stepchildren', 'Stepchildren'), ('spouses', 'Spouses'), ('cousins', 'Cousins'), ('granduncles_and_grandaunts', 'Granduncles and grandaunts'), ('grandnephews_and_grandnieces', 'Grandnephews and grandnieces'), ('grandchildren_and_great_grandchildren', 'Grandchildren and great-grandchildren'), ('grandparents', 'Grandparents'), ('foster_mother', 'Foster mother'), ('tribe', 'Tribe'), ('foster_children', 'Foster children'), ('in_laws', 'In-laws'), ('students', 'Students'), ('owners_and_masters', 'Owners and masters'), ('other_relatives', 'Other relatives'), ('friends_and_companions', 'Friends and companions'), ('allies', 'Allies'), ('neighbors', 'Neighbors'), ('wards_and_proteges', 'Wards and proteges'), ('cousins_of_parents', 'Cousins of parents'), ('cousins_of_grandparents', 'Cousins of grandparents'), ('cousins_children', 'Cousins children'), ('cousins_grandchildren_and_great_grandchildren', 'Cousins grandchildren and great-grandchildren')], max_length=50, verbose_name='Relation Type'), |
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), |
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] |
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