Add store-server.gbai: barcode scan, image search, NCM, shipping, auto-register

store-server.gbai/store-server.gbdialog/auto-register.bas

@@ -0,0 +1,12 @@
+PARAM query AS STRING
+
+existing = SEARCH PRODUCTS query, 1
+IF LEN(existing) > 0 THEN
+    RETURN existing[0]
+END IF
+
+info = LLM "Extract product info: " + query + ". Return JSON {name, category, brand, description}"
+info.is_active = true
+
+SAVE "products", info
+RETURN info

store-server.gbai/store-server.gbdialog/calculate-shipping.bas

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+PARAM product_id AS STRING
+PARAM quantity AS INTEGER
+
+product = PRODUCT product_id
+IF NOT product THEN
+    RETURN {error: "Product not found"}
+END IF
+
+IF NOT quantity THEN
+    quantity = 1
+END IF
+
+dimensions = {
+    length: product.length,
+    width: product.width,
+    height: product.height,
+    weight: product.gross_weight
+}
+
+IF NOT dimensions.weight THEN
+    dimensions = LLM "Estimate shipping dimensions for: " + product.name + ". Return JSON {length_cm, width_cm, height_cm, weight_kg}"
+END IF
+
+volume = dimensions.length * dimensions.width * dimensions.height * quantity
+volumetric_weight = volume / 5000
+billable = MAX(dimensions.weight * quantity, volumetric_weight)
+
+shipping = {
+    product_id: product_id,
+    quantity: quantity,
+    dimensions: dimensions,
+    volume_cm3: volume,
+    billable_weight_kg: billable,
+    options: [
+        {carrier: "Ground", days: "5-7", cost: 5.99 + billable * 1.5},
+        {carrier: "Express", days: "2-3", cost: 12.99 + billable * 2.5},
+        {carrier: "Overnight", days: "1", cost: 24.99 + billable * 4.0}
+    ]
+}
+
+RETURN shipping

store-server.gbai/store-server.gbdialog/classify-product.bas

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+PARAM query AS STRING
+
+categories = FIND "categories"
+similar = SEARCH PRODUCTS query, 5
+result = LLM "Classify '" + query + "' into: " + categories + ". Similar: " + similar + ". Return JSON {category_id, name, confidence, brand, type}"
+
+cached = FIND "product_cache", "query=" + query
+IF cached THEN
+    RETURN cached.result
+END IF
+
+SAVE "product_cache", {query: query, result: result}
+RETURN result

store-server.gbai/store-server.gbdialog/enrich-product.bas

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+PARAM product_id AS STRING
+
+product = PRODUCT product_id
+IF NOT product THEN
+    RETURN {error: "Product not found"}
+END IF
+
+IF product.description AND product.brand THEN
+    RETURN product
+END IF
+
+query = product.name + " " + product.category
+links = SCRAPE_ALL "https://www.google.com/search?q=" + query, "a"
+links = FIRST links, 10
+
+enriched = []
+FOR i = 0 TO 2
+    IF links[i] THEN
+        content = SCRAPE links[i], "body"
+        PUSH enriched, content
+    END IF
+NEXT
+
+result = LLM "Analyze these product descriptions: " + enriched + ". Create best description for: " + product.name + ". Return JSON {description, brand, material, features}"
+
+UPDATE "products", product_id, {
+    description: result.description,
+    brand: result.brand,
+    material: result.material,
+    external_metadata: result
+}
+
+product.description = result.description
+product.brand = result.brand
+RETURN product

store-server.gbai/store-server.gbdialog/get-ncm.bas

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+PARAM product_id AS STRING
+
+product = PRODUCT product_id
+IF NOT product THEN
+    RETURN {error: "Product not found"}
+END IF
+
+IF product.tax_code THEN
+    RETURN {tax_code: product.tax_code, tax_class: product.tax_class}
+END IF
+
+info = LLM "Get NCM/tax classification for: " + product.name + " " + product.category + ". Return JSON {tax_code, tax_class, description}"
+UPDATE "products", product_id, {tax_code: info.tax_code, tax_class: info.tax_class}
+RETURN info

store-server.gbai/store-server.gbdialog/scan-barcode.bas

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+PARAM image AS STRING
+
+barcode = SCAN BARCODE image
+IF NOT barcode THEN
+    RETURN {error: "No barcode found"}
+END IF
+
+ean = barcode.data
+cached = FIND "products", "global_trade_number=" + ean
+IF cached THEN
+    RETURN cached
+END IF
+
+data = GET "https://world.openfoodfacts.org/api/v0/product/" + ean + ".json"
+IF data.product THEN
+    product = {
+        name: data.product.product_name,
+        brand: data.product.brands,
+        global_trade_number: ean,
+        description: data.product.generic_name,
+        category: data.product.categories,
+        net_weight: data.product.quantity
+    }
+ELSE
+    product = LLM "Search product info for EAN: " + ean + ". Return JSON {name, brand, description, category}"
+    product.global_trade_number = ean
+END IF
+
+SAVE "products", product
+RETURN product

store-server.gbai/store-server.gbdialog/scan-product-image.bas

@@ -0,0 +1,12 @@
+PARAM image AS STRING
+
+description = SEE image
+similar = SEARCH PRODUCTS description, 5
+
+IF LEN(similar) > 0 THEN
+    RETURN similar[0]
+END IF
+
+product = LLM "Extract product info from: " + description + ". Return JSON {name, brand, category, color, material}"
+SAVE "products", product
+RETURN product

store-server.gbai/store-server.gbdialog/search-products.bas

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+PARAM query AS STRING
+
+cached = FIND "search_cache", "query=" + query
+IF cached THEN
+    RETURN cached.result
+END IF
+
+result = SEARCH PRODUCTS query, 10
+IF LEN(result) = 0 THEN
+    web = SCRAPE_ALL "https://www.google.com/search?q=" + query + "+product", ".g"
+    result = LLM "Extract products from: " + web + ". Return JSON [{name, price, description}]"
+END IF
+
+enhanced = LLM "Add descriptions: " + result + ". Return JSON [{id, name, price, description, stock}]"
+SAVE "search_cache", {query: query, result: enhanced}
+RETURN enhanced

store-server.gbai/store-server.gbot/config.csv

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+name,value
+bot-name,store-server
+bot-description,Store Server API - Product search, classification, barcode scanning and enrichment
+botmodels-enabled,true
+llm-provider,openai
+llm-model,gpt-4o

store.gbai/store.gbdialog/calculate-shipping.bas

@@ -1,7 +0,0 @@
-PARAM product_id AS INTEGER
-PARAM quantity AS INTEGER OPTIONAL
-
-product = PRODUCT product_id
-shipping = LLM "Calculate shipping for: " + product + ", qty: " + quantity + ". Return JSON {dimensions: {length_cm, width_cm, height_cm}, weight_kg, volume_cm3, shipping_options: [{carrier, cost, days}]}"
-
-RETURN shipping

store.gbai/store.gbdialog/classify-product.bas

@@ -1,7 +0,0 @@
-PARAM query AS STRING
-
-categories = FIND "Categories.csv"
-result = SEARCH PRODUCTS query, 5
-enhanced = LLM "Classify '" + query + "' into categories: " + categories + ". Similar products: " + result + ". Return JSON {category_id, category_name, confidence, attributes: {brand, type}}"
-
-RETURN enhanced

store.gbai/store.gbdialog/search-products.bas

@@ -1,6 +0,0 @@
-PARAM query AS STRING
-
-result = SEARCH PRODUCTS query, 10
-enhanced = LLM "Enhance these product results with descriptions: " + result + ". Return JSON array with id, name, price, description"
-
-RETURN enhanced