feat: add search engine API with Typesense integration, Django models, and CI/CD deployment workflow
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Deploy Beta (NATIVE) / deploy (push) Successful in 16s
All checks were successful
Deploy Beta (NATIVE) / deploy (push) Successful in 16s
This commit is contained in:
parent
2201615967
commit
cfa2c2aa33
8 changed files with 376 additions and 63 deletions
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@ -1,4 +1,4 @@
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name: Deploy Beta (NATIVE)
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name: Deploy Beta (NATIVE)
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on:
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push:
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@ -118,6 +118,8 @@ jobs:
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sudo mkdir -p /home/ubuntu/searchengine
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sudo chown -R ubuntu:ubuntu /home/ubuntu/searchengine
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tar -xzf /tmp/app.tar.gz -C /home/ubuntu/searchengine
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mkdir -p /home/ubuntu/searchengine/logs
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sudo chown -R ubuntu:ubuntu /home/ubuntu/searchengine/logs
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# ── 4. Set up python virtual environment & dependencies ────────
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cd /home/ubuntu/searchengine
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@ -125,14 +127,22 @@ jobs:
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source venv/bin/activate
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pip install --upgrade pip
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pip install -r requirements.txt
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python manage.py migrate --noinput
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# ── 5. Systemd Service Deployment ──────────────────────────────
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sudo cp /tmp/searchengine.service /etc/systemd/system/searchengine.service
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sudo systemctl daemon-reload
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sudo systemctl enable searchengine.service
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sudo systemctl restart searchengine.service
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sudo systemctl restart searchengine.service || {
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echo "searchengine.service failed to restart! Checking journalctl:"
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sudo journalctl -u searchengine.service -n 50 --no-pager
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exit 1
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}
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# ── 6. Nginx Config ───────────────────────────────────────────
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if [ -f "/etc/letsencrypt/live/betasearch-api.tradhox.com/fullchain.pem" ]; then
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sed -i 's|/etc/letsencrypt/live/betapartner-api.tradhox.com|/etc/letsencrypt/live/betasearch-api.tradhox.com|g' /tmp/nginx-proxy.conf
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fi
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sudo cp /tmp/nginx-proxy.conf /etc/nginx/sites-available/searchengine
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sudo ln -sf /etc/nginx/sites-available/searchengine /etc/nginx/sites-enabled/searchengine
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sudo nginx -t && sudo systemctl reload nginx
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@ -1,4 +1,4 @@
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from django.core.management.base import BaseCommand
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from django.core.management.base import BaseCommand
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from django.db import connection
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from api.typesense_client import TypesenseService
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import time
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@ -6,11 +6,24 @@ import time
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class Command(BaseCommand):
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help = "Reindex all products from PostgreSQL database into Typesense search index."
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def handle(self, *args, **options):
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self.stdout.write(self.style.SUCCESS("Starting Typesense reindex..."))
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TypesenseService.ensure_schema()
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count = 0
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def add_arguments(self, parser):
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parser.add_argument(
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'--batch-size',
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type=int,
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default=250,
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help='Number of records to index per batch request.'
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)
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def handle(self, *args, **options):
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batch_size = options.get('batch_size', 250)
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self.stdout.write(self.style.SUCCESS("Ensuring Typesense schema..."))
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TypesenseService.ensure_schema(force=True)
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count = 0
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batch = []
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now_ts = int(time.time())
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self.stdout.write(self.style.SUCCESS("Fetching products from PostgreSQL (api_product)..."))
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with connection.cursor() as cursor:
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cursor.execute("""
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SELECT id, sku, title, description, category, supplier_id, price,
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@ -19,11 +32,23 @@ class Command(BaseCommand):
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""")
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columns = [col[0] for col in cursor.description]
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rows = cursor.fetchall()
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for row in rows:
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total_rows = len(rows)
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self.stdout.write(f"Found {total_rows} products to index.")
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for idx, row in enumerate(rows):
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item = dict(zip(columns, row))
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item['created_at'] = int(time.time())
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TypesenseService.index_product(item)
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count += 1
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self.stdout.write(f"Indexed product SKU: {item.get('sku')} | Title: {item.get('title')}")
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item['created_at'] = now_ts + idx
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batch.append(item)
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if len(batch) >= batch_size:
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TypesenseService.index_products_batch(batch)
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count += len(batch)
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self.stdout.write(f"Indexed batch: {count}/{total_rows} products...")
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batch = []
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if batch:
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TypesenseService.index_products_batch(batch)
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count += len(batch)
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self.stdout.write(f"Indexed final batch: {count}/{total_rows} products...")
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self.stdout.write(self.style.SUCCESS(f"Successfully reindexed {count} products into Typesense."))
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24
api/migrations/0001_initial.py
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24
api/migrations/0001_initial.py
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# Generated by Django 6.1 on 2026-10-15 14:14
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from django.db import migrations, models
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class Migration(migrations.Migration):
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initial = True
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dependencies = [
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]
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operations = [
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migrations.CreateModel(
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name='ProductIndexLog',
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fields=[
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('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
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('sku', models.CharField(max_length=100, unique=True)),
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('status', models.CharField(default='synced', max_length=50)),
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('last_synced_at', models.DateTimeField(auto_now=True)),
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('error', models.TextField(blank=True, null=True)),
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],
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),
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]
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0
api/migrations/__init__.py
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0
api/migrations/__init__.py
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134
api/tests.py
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134
api/tests.py
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from django.test import TestCase
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from rest_framework.test import APIClient
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from unittest.mock import patch, MagicMock
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from api.typesense_client import (
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TypesenseService,
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safe_str,
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safe_int,
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safe_float,
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safe_bool,
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)
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class TypesenseServiceUnitTests(TestCase):
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def test_safe_helpers(self):
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self.assertEqual(safe_str(None, "default"), "default")
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self.assertEqual(safe_str(123), "123")
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self.assertEqual(safe_int(None, 10), 10)
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self.assertEqual(safe_int("42"), 42)
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self.assertEqual(safe_int("invalid", 5), 5)
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self.assertEqual(safe_float(None, 3.14), 3.14)
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self.assertEqual(safe_float("99.95"), 99.95)
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self.assertEqual(safe_float("invalid", 0.0), 0.0)
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self.assertTrue(safe_bool("true"))
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self.assertTrue(safe_bool("1"))
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self.assertFalse(safe_bool("false"))
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self.assertFalse(safe_bool("0"))
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self.assertFalse(safe_bool(None, False))
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def test_prepare_product_doc_handles_nulls_gracefully(self):
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raw_product = {
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'id': 101,
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'sku': 'TRDX-TEST-001',
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'title': 'Test Silk Saree',
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'description': None,
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'category': None,
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'supplier_id': None,
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'supplier_name': None,
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'price': None,
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'compare_at_price': None,
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'stock': None,
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'image': None,
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'is_gi_tagged': None,
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'is_active': None,
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'status': None,
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'created_at': None
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}
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doc = TypesenseService.prepare_product_doc(raw_product)
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self.assertEqual(doc['id'], '101')
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self.assertEqual(doc['sku'], 'TRDX-TEST-001')
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self.assertEqual(doc['title'], 'Test Silk Saree')
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self.assertEqual(doc['description'], '')
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self.assertEqual(doc['category'], 'Uncategorized')
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self.assertEqual(doc['supplier_id'], 0)
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self.assertEqual(doc['price'], 0.0)
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self.assertEqual(doc['compare_at_price'], 0.0)
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self.assertEqual(doc['stock'], 0)
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self.assertFalse(doc['is_gi_tagged'])
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self.assertTrue(doc['is_active'])
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self.assertEqual(doc['status'], 'active')
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self.assertEqual(doc['created_at'], 0)
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class SearchAndIndexApiTests(TestCase):
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def setUp(self):
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self.client = APIClient()
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@patch.object(TypesenseService, 'search_products')
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def test_search_view_defaults(self, mock_search):
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mock_search.return_value = {
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'hits': [{'document': {'id': '1', 'title': 'Product 1'}}],
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'found': 1,
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'facet_counts': []
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}
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response = self.client.get('/api/search/', {'q': 'saree'})
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self.assertEqual(response.status_code, 200)
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self.assertEqual(response.data['count'], 1)
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self.assertEqual(len(response.data['results']), 1)
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mock_search.assert_called_once()
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_, kwargs = mock_search.call_args
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self.assertEqual(kwargs['query'], 'saree')
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self.assertIn('is_active:=true', kwargs['filter_by'])
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self.assertEqual(kwargs['sort_by'], '_text_match:desc,created_at:desc')
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@patch.object(TypesenseService, 'search_products')
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def test_search_view_filters_and_sorting(self, mock_search):
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mock_search.return_value = {'hits': [], 'found': 0, 'facet_counts': []}
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response = self.client.get('/api/search/', {
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'q': '*',
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'category': 'Textiles & Silk',
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'min_price': '100',
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'max_price': '500',
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'is_gi_tagged': 'false',
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'supplier_id': '42',
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'sort_by': 'price_asc',
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'page': '2',
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'per_page': '10'
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})
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self.assertEqual(response.status_code, 200)
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_, kwargs = mock_search.call_args
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self.assertIn('category:="Textiles & Silk"', kwargs['filter_by'])
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self.assertIn('price:[100.0..500.0]', kwargs['filter_by'])
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self.assertIn('is_gi_tagged:=false', kwargs['filter_by'])
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self.assertIn('supplier_id:=42', kwargs['filter_by'])
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self.assertEqual(kwargs['sort_by'], 'price:asc')
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self.assertEqual(kwargs['page'], 2)
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self.assertEqual(kwargs['per_page'], 10)
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@patch.object(TypesenseService, 'index_product')
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def test_index_single_product(self, mock_index):
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mock_index.return_value = {'success': True}
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payload = {'id': 1, 'sku': 'SKU123', 'title': 'Test Item', 'price': 99.0}
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response = self.client.post('/api/index/product/', payload, format='json')
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self.assertEqual(response.status_code, 200)
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self.assertEqual(response.data['status'], 'indexed')
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@patch.object(TypesenseService, 'index_products_batch')
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def test_index_batch_products(self, mock_batch):
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mock_batch.return_value = [{'success': True}, {'success': True}]
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payload = [
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{'id': 1, 'sku': 'SKU1', 'title': 'Item 1'},
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{'id': 2, 'sku': 'SKU2', 'title': 'Item 2'}
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]
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response = self.client.post('/api/index/product/', payload, format='json')
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self.assertEqual(response.status_code, 200)
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self.assertEqual(response.data['count'], 2)
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@patch.object(TypesenseService, 'delete_product')
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def test_delete_product(self, mock_delete):
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mock_delete.return_value = {'deleted': True}
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response = self.client.delete('/api/index/product/TRDX-001/')
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self.assertEqual(response.status_code, 200)
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self.assertEqual(response.data['status'], 'deleted')
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mock_delete.assert_called_once_with('TRDX-001')
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import typesense
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import typesense
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from django.conf import settings
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import logging
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@ -26,8 +26,42 @@ PRODUCTS_SCHEMA = {
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'default_sorting_field': 'created_at'
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}
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def safe_str(val, default=""):
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if val is None:
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return default
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return str(val)
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def safe_int(val, default=0):
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if val is None or val == "":
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return default
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try:
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return int(val)
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except (ValueError, TypeError):
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return default
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def safe_float(val, default=0.0):
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if val is None or val == "":
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return default
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try:
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return float(val)
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except (ValueError, TypeError):
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return default
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def safe_bool(val, default=False):
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if val is None:
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return default
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if isinstance(val, bool):
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return val
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if isinstance(val, (int, float)):
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return bool(val)
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if isinstance(val, str):
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return val.lower() in ("true", "1", "yes")
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return default
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class TypesenseService:
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_client = None
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_schema_initialized = False
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@classmethod
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def get_client(cls):
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@ -45,53 +79,81 @@ class TypesenseService:
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return cls._client
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@classmethod
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def ensure_schema(cls):
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def ensure_schema(cls, force=False):
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if cls._schema_initialized and not force:
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return
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client = cls.get_client()
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try:
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client.collections['products'].retrieve()
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logger.info("Typesense 'products' collection already exists.")
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cls._schema_initialized = True
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except Exception:
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logger.info("Creating Typesense 'products' collection schema...")
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client.collections.create(PRODUCTS_SCHEMA)
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cls._schema_initialized = True
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@classmethod
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def prepare_product_doc(cls, product_dict):
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doc_id = product_dict.get('id')
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if doc_id is None:
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doc_id = product_dict.get('sku')
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return {
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'id': safe_str(doc_id),
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'title': safe_str(product_dict.get('title')),
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'description': safe_str(product_dict.get('description')),
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'category': safe_str(product_dict.get('category'), 'Uncategorized'),
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'supplier_id': safe_int(product_dict.get('supplier_id'), 0),
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'supplier_name': safe_str(product_dict.get('supplier_name')),
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'price': safe_float(product_dict.get('price'), 0.0),
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'compare_at_price': safe_float(product_dict.get('compare_at_price'), 0.0),
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'stock': safe_int(product_dict.get('stock'), 0),
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'sku': safe_str(product_dict.get('sku')),
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'image': safe_str(product_dict.get('image')),
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'is_gi_tagged': safe_bool(product_dict.get('is_gi_tagged'), False),
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'is_active': safe_bool(product_dict.get('is_active'), True),
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'status': safe_str(product_dict.get('status'), 'active'),
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'created_at': safe_int(product_dict.get('created_at'), 0)
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}
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@classmethod
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def index_product(cls, product_dict):
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cls.ensure_schema()
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client = cls.get_client()
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doc = {
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'id': str(product_dict.get('id', product_dict.get('sku'))),
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'title': str(product_dict.get('title', '')),
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'description': str(product_dict.get('description', '') or ''),
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'category': str(product_dict.get('category', 'Uncategorized')),
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'supplier_id': int(product_dict.get('supplier_id', 0)),
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'supplier_name': str(product_dict.get('supplier_name', '') or ''),
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'price': float(product_dict.get('price', 0.0)),
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'compare_at_price': float(product_dict.get('compare_at_price', 0.0) or 0.0),
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'stock': int(product_dict.get('stock', 0)),
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'sku': str(product_dict.get('sku', '')),
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'image': str(product_dict.get('image', '') or ''),
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'is_gi_tagged': bool(product_dict.get('is_gi_tagged', False)),
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'is_active': bool(product_dict.get('is_active', True)),
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'status': str(product_dict.get('status', 'active')),
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'created_at': int(product_dict.get('created_at', 0))
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}
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doc = cls.prepare_product_doc(product_dict)
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return client.collections['products'].documents.upsert(doc)
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@classmethod
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def index_products_batch(cls, products_list):
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if not products_list:
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return []
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cls.ensure_schema()
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client = cls.get_client()
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docs = [cls.prepare_product_doc(p) for p in products_list]
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return client.collections['products'].documents.import_(docs, {'action': 'upsert'})
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@classmethod
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def delete_product(cls, product_id):
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client = cls.get_client()
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pid_str = str(product_id).strip()
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try:
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return client.collections['products'].documents[str(product_id)].delete()
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return client.collections['products'].documents[pid_str].delete()
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except Exception as e:
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logger.warning(f"Could not delete document {product_id} from Typesense: {e}")
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logger.info(f"Direct delete by ID {pid_str} failed ({e}), attempting delete by SKU filter...")
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try:
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return client.collections['products'].documents.delete({'filter_by': f'sku:="{pid_str}"'})
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except Exception as e_filter:
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logger.warning(f"Could not delete document with identifier {pid_str} from Typesense: {e_filter}")
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return None
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@classmethod
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def search_products(cls, query="*", filter_by="", sort_by="", page=1, per_page=20):
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cls.ensure_schema()
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client = cls.get_client()
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q_clean = query.strip() if query else "*"
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search_parameters = {
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'q': query if query else '*',
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'q': q_clean if q_clean else '*',
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'query_by': 'title,description,category,sku',
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'facet_by': 'category,is_gi_tagged,supplier_id',
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||||
'page': page,
|
||||
|
|
@ -99,10 +161,15 @@ class TypesenseService:
|
|||
'num_typos': 2,
|
||||
'prefix': True
|
||||
}
|
||||
|
||||
if filter_by:
|
||||
search_parameters['filter_by'] = filter_by
|
||||
|
||||
if sort_by:
|
||||
search_parameters['sort_by'] = sort_by
|
||||
else:
|
||||
if q_clean and q_clean != '*':
|
||||
search_parameters['sort_by'] = '_text_match:desc,created_at:desc'
|
||||
else:
|
||||
search_parameters['sort_by'] = 'created_at:desc'
|
||||
|
||||
|
|
|
|||
90
api/views.py
90
api/views.py
|
|
@ -1,4 +1,4 @@
|
|||
from rest_framework.views import APIView
|
||||
from rest_framework.views import APIView
|
||||
from rest_framework.response import Response
|
||||
from rest_framework import status
|
||||
from django.db import connection
|
||||
|
|
@ -17,33 +17,56 @@ class ProductSearchView(APIView):
|
|||
max_price = request.query_params.get('max_price')
|
||||
is_gi_tagged = request.query_params.get('is_gi_tagged')
|
||||
supplier_id = request.query_params.get('supplier_id')
|
||||
sort_by_param = request.query_params.get('sort_by', 'newest')
|
||||
page = int(request.query_params.get('page', 1))
|
||||
per_page = int(request.query_params.get('per_page', 20))
|
||||
sort_by_param = request.query_params.get('sort_by', '').strip()
|
||||
|
||||
try:
|
||||
page = max(1, int(request.query_params.get('page', 1)))
|
||||
per_page = min(250, max(1, int(request.query_params.get('per_page', 20))))
|
||||
except (ValueError, TypeError):
|
||||
return Response({'error': 'Invalid page or per_page parameter'}, status=status.HTTP_400_BAD_REQUEST)
|
||||
|
||||
filter_clauses = ['is_active:=true']
|
||||
|
||||
if category:
|
||||
filter_clauses.append(f'category:="{category}"')
|
||||
escaped_category = category.replace('"', '\\"')
|
||||
filter_clauses.append(f'category:="{escaped_category}"')
|
||||
|
||||
if supplier_id:
|
||||
filter_clauses.append(f'supplier_id:={supplier_id}')
|
||||
if is_gi_tagged is not None and is_gi_tagged.lower() in ('true', '1'):
|
||||
try:
|
||||
s_id = int(supplier_id)
|
||||
filter_clauses.append(f'supplier_id:={s_id}')
|
||||
except (ValueError, TypeError):
|
||||
return Response({'error': 'supplier_id must be an integer'}, status=status.HTTP_400_BAD_REQUEST)
|
||||
|
||||
if is_gi_tagged is not None:
|
||||
val = is_gi_tagged.strip().lower()
|
||||
if val in ('true', '1'):
|
||||
filter_clauses.append('is_gi_tagged:=true')
|
||||
elif val in ('false', '0'):
|
||||
filter_clauses.append('is_gi_tagged:=false')
|
||||
|
||||
if min_price is not None or max_price is not None:
|
||||
try:
|
||||
p_min = float(min_price) if min_price else 0.0
|
||||
p_max = float(max_price) if max_price else 9999999.0
|
||||
if p_min > p_max:
|
||||
p_min, p_max = p_max, p_min
|
||||
filter_clauses.append(f'price:[{p_min}..{p_max}]')
|
||||
except (ValueError, TypeError):
|
||||
return Response({'error': 'Price filters must be valid numbers'}, status=status.HTTP_400_BAD_REQUEST)
|
||||
|
||||
filter_by_str = ' && '.join(filter_clauses)
|
||||
|
||||
sort_by_str = 'created_at:desc'
|
||||
if sort_by_param == 'price_asc':
|
||||
sort_by_str = 'price:asc'
|
||||
elif sort_by_param == 'price_desc':
|
||||
sort_by_str = 'price:desc'
|
||||
elif sort_by_param == 'relevance' and q != '*':
|
||||
sort_by_str = ''
|
||||
elif sort_by_param == 'relevance':
|
||||
sort_by_str = '_text_match:desc,created_at:desc'
|
||||
elif sort_by_param == 'newest':
|
||||
sort_by_str = 'created_at:desc'
|
||||
else:
|
||||
sort_by_str = '_text_match:desc,created_at:desc' if (q and q != '*') else 'created_at:desc'
|
||||
|
||||
res = TypesenseService.search_products(
|
||||
query=q,
|
||||
|
|
@ -76,12 +99,26 @@ class ProductSearchView(APIView):
|
|||
class IndexProductView(APIView):
|
||||
def post(self, request):
|
||||
try:
|
||||
product_data = request.data
|
||||
if not product_data or ('id' not in product_data and 'sku' not in product_data):
|
||||
return Response({'error': 'Product id or sku is required'}, status=status.HTTP_400_BAD_REQUEST)
|
||||
data = request.data
|
||||
if not data:
|
||||
return Response({'error': 'Payload cannot be empty'}, status=status.HTTP_400_BAD_REQUEST)
|
||||
|
||||
res = TypesenseService.index_product(product_data)
|
||||
if isinstance(data, list):
|
||||
valid_items = []
|
||||
for item in data:
|
||||
if isinstance(item, dict) and ('id' in item or 'sku' in item):
|
||||
valid_items.append(item)
|
||||
if not valid_items:
|
||||
return Response({'error': 'Each product in list must have an id or sku'}, status=status.HTTP_400_BAD_REQUEST)
|
||||
res = TypesenseService.index_products_batch(valid_items)
|
||||
return Response({'status': 'indexed', 'count': len(valid_items), 'result': res}, status=status.HTTP_200_OK)
|
||||
elif isinstance(data, dict):
|
||||
if 'id' not in data and 'sku' not in data:
|
||||
return Response({'error': 'Product id or sku is required'}, status=status.HTTP_400_BAD_REQUEST)
|
||||
res = TypesenseService.index_product(data)
|
||||
return Response({'status': 'indexed', 'result': res}, status=status.HTTP_200_OK)
|
||||
else:
|
||||
return Response({'error': 'Invalid JSON format. Expected JSON object or array.'}, status=status.HTTP_400_BAD_REQUEST)
|
||||
except Exception as e:
|
||||
logger.error(f"Product Index Error: {e}", exc_info=True)
|
||||
return Response({'error': str(e)}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
|
||||
|
|
@ -90,6 +127,8 @@ class IndexProductView(APIView):
|
|||
class DeleteProductView(APIView):
|
||||
def delete(self, request, product_id):
|
||||
try:
|
||||
if not product_id or not str(product_id).strip():
|
||||
return Response({'error': 'Product identifier is required'}, status=status.HTTP_400_BAD_REQUEST)
|
||||
res = TypesenseService.delete_product(product_id)
|
||||
return Response({'status': 'deleted', 'result': res}, status=status.HTTP_200_OK)
|
||||
except Exception as e:
|
||||
|
|
@ -100,8 +139,10 @@ class DeleteProductView(APIView):
|
|||
class ReindexCatalogView(APIView):
|
||||
def post(self, request):
|
||||
try:
|
||||
TypesenseService.ensure_schema(force=True)
|
||||
indexed_count = 0
|
||||
TypesenseService.ensure_schema()
|
||||
batch_size = 250
|
||||
batch = []
|
||||
|
||||
with connection.cursor() as cursor:
|
||||
cursor.execute("""
|
||||
|
|
@ -111,11 +152,22 @@ class ReindexCatalogView(APIView):
|
|||
""")
|
||||
columns = [col[0] for col in cursor.description]
|
||||
rows = cursor.fetchall()
|
||||
for row in rows:
|
||||
now_ts = int(time.time())
|
||||
|
||||
for idx, row in enumerate(rows):
|
||||
item = dict(zip(columns, row))
|
||||
item['created_at'] = int(time.time())
|
||||
TypesenseService.index_product(item)
|
||||
indexed_count += 1
|
||||
# Retain descending ordering with timestamp offset
|
||||
item['created_at'] = now_ts + idx
|
||||
batch.append(item)
|
||||
|
||||
if len(batch) >= batch_size:
|
||||
TypesenseService.index_products_batch(batch)
|
||||
indexed_count += len(batch)
|
||||
batch = []
|
||||
|
||||
if batch:
|
||||
TypesenseService.index_products_batch(batch)
|
||||
indexed_count += len(batch)
|
||||
|
||||
return Response({'status': 'completed', 'total_indexed': indexed_count}, status=status.HTTP_200_OK)
|
||||
except Exception as e:
|
||||
|
|
|
|||
1
logs/.gitkeep
Normal file
1
logs/.gitkeep
Normal file
|
|
@ -0,0 +1 @@
|
|||
# Keep logs directory tracked in version control
|
||||
Loading…
Reference in a new issue