README.md

@@ -0,0 +1,16 @@
+# Vegan Barcode
+
+The goal of this project is to be a crowd sourced resource to find out if a product is vegan
+
+
+## Task list
+- figure out how we want to handle database migrations
+- database object models should be separated out from database migration function
+- create main process that runs database migration and then starts api
+- create search api
+- create upload api
+- create workers
+    - barnivore lookup
+    - alergen ingredient database lookup?
+- create mobile and desktop front ends
+- moderation tooling?

internal/services/userService.go

@@ -1,14 +1,19 @@
 package main
 
+import (
+	"net/http"
+
+	"github.com/gin-gonic/gin"
+	"github.com/labstack/gommon/log"
+)
+
 func testService(c *gin.Context) {
 	log.Debug("Test was successful.")
-	c.JSON(http.StatusOK, gin.H{
-		"message": "Hello World!"
-	})
+	c.JSON(http.StatusOK, gin.H{"message": "Hello World!"})
 }
 
 func claimsByBarcode(c *gin.Context) {
 	system := c.DefaultQuery("system", "upc")
 	barcode := c.Query("barcode")
-}
 
+}

query_draft.sql

@@ -0,0 +1,39 @@
+SELECT
+    cluster,
+    id,
+    worker,
+    evidence_type,
+    evidence,
+    category,
+    polarity,
+    created_at,
+    created_by
+FROM (
+    SELECT
+        cluster,
+        id,
+        worker,
+        evidence_type,
+        evidence,
+        category,
+        polarity,
+        created_at,
+        created_by,
+        ROW_NUMBER() OVER (PARTITION BY category ORDER BY created_at DESC) AS rn
+    FROM (
+        (
+            SELECT "user" as cluster, id, product_id, null as worker, evidence_type, evidence, unnest(claim) as category, true as polarity, created_at, created_by FROM user_claims
+            UNION ALL
+            SELECT "automated" as cluster, id, product_id, worker, null as evidence_type, evidence, unnest(claim) as category, true as polarity, created_at, null as created_by FROM automated_claims
+        )
+        UNION ALL
+        (
+            SELECT "user" as cluster, id, product_id, null as worker, evidence_type, evidence, unnest(counter_claim) as category, false as polarity, created_at, created_by FROM user_claims
+            UNION ALL
+            SELECT "automated" as cluster, id, product_id, worker, null as evidence_type, evidence, unnest(counter_claim) as category, false as polarity, created_at, null as created_by FROM automated_claims
+        )
+    )
+    WHERE product_id = ???
+)
+WHERE rn = 1
+ORDER BY created_at;