Upload api/search/opensearch-mapping.json

api/search/opensearch-mapping.json

@@ -0,0 +1,124 @@
+// OpenSearch Index Mapping for Vendor Search
+// Supports faceted search: category, district, price range, rating, and full-text
+
+PUT /vendors
+{
+  "settings": {
+    "number_of_shards": 2,
+    "number_of_replicas": 1,
+    "analysis": {
+      "analyzer": {
+        "wedding_search": {
+          "type": "custom",
+          "tokenizer": "standard",
+          "filter": ["lowercase", "asciifolding", "stop", "snowball"]
+        }
+      }
+    }
+  },
+  "mappings": {
+    "properties": {
+      "id":              { "type": "keyword" },
+      "businessName":    { "type": "text", "analyzer": "wedding_search", "fields": { "keyword": { "type": "keyword" } } },
+      "categoryId":      { "type": "keyword" },
+      "categoryName":    { "type": "keyword" },
+      "district":        { "type": "keyword" },
+      "description":     { "type": "text", "analyzer": "wedding_search" },
+      "priceRange": {
+        "type": "nested",
+        "properties": {
+          "min": { "type": "double" },
+          "max": { "type": "double" }
+        }
+      },
+      "rating":          { "type": "float" },
+      "reviewCount":     { "type": "integer" },
+      "isVerified":      { "type": "boolean" },
+      "isPublished":     { "type": "boolean" },
+      "features":        { "type": "keyword" },
+      "packages": {
+        "type": "nested",
+        "properties": {
+          "id":    { "type": "keyword" },
+          "name":  { "type": "text" },
+          "price": { "type": "double" }
+        }
+      },
+      "availability": {
+        "type": "nested",
+        "properties": {
+          "date": { "type": "date" },
+          "type": { "type": "keyword" }
+        }
+      },
+      "createdAt": { "type": "date" },
+      "updatedAt": { "type": "date" }
+    }
+  }
+}
+
+// Indexer Worker (BullMQ job)
+// On vendor create/update/publish, sync PostgreSQL -> OpenSearch:
+//
+// async function indexVendor(vendorId: string) {
+//   const vendor = await db.vendorProfile.findUnique({
+//     where: { id: vendorId },
+//     include: { category: true, packages: true, availability: true }
+//   })
+//   if (!vendor) return
+//   await esClient.index({
+//     index: 'vendors',
+//     id: vendor.id,
+//     body: {
+//       id: vendor.id,
+//       businessName: vendor.businessName,
+//       categoryId: vendor.categoryId,
+//       categoryName: vendor.category.name,
+//       district: vendor.district,
+//       description: vendor.description,
+//       priceRange: computePriceRange(vendor.packages),
+//       rating: computeRating(vendor.id),
+//       reviewCount: countReviews(vendor.id),
+//       isVerified: vendor.isVerified,
+//       isPublished: vendor.isPublished,
+//       features: extractFeatures(vendor),
+//       packages: vendor.packages.map(p => ({ id: p.id, name: p.name, price: Number(p.price) })),
+//       availability: vendor.availability.map(a => ({ date: a.date, type: a.type })),
+//       updatedAt: vendor.updatedAt,
+//     }
+//   })
+// }
+//
+// // Faceted search example:
+// POST /vendors/_search
+// {
+//   "query": {
+//     "bool": {
+//       "must": [
+//         { "term": { "isPublished": true } }
+//       ],
+//       "filter": [
+//         { "term": { "categoryName": "Photography" } },
+//         { "term": { "district": "Colombo 3" } },
+//         { "range": { "rating": { "gte": 4.5 } } }
+//       ]
+//     }
+//   },
+//   "aggs": {
+//     "by_category":  { "terms": { "field": "categoryName" } },
+//     "by_district":  { "terms": { "field": "district" } },
+//     "price_ranges": {
+//       "range": {
+//         "field": "rating",  // placeholder - actual price range agg uses nested
+//         "ranges": [
+//           { "key": "Under 50K",  "to": 50000 },
+//           { "key": "50K-100K",  "from": 50000, "to": 100000 },
+//           { "key": "100K-250K", "from": 100000, "to": 250000 },
+//           { "key": "250K-500K", "from": 250000, "to": 500000 },
+//           { "key": "Over 500K",  "from": 500000 }
+//         ]
+//       }
+//     }
+//   },
+//   "sort": [{ "rating": "desc" }]
+// }