UAT_PLAYBOOK.md

@@ -114,6 +114,8 @@ GroomBook API is a Hono-based REST service (TypeScript/Node.js) powering the pet
 | TC-API-3.22 | Verify medicalAlerts shape | GET /api/pets/{id} for any pet with non-empty medicalAlerts | medicalAlerts is an array; each entry has type, description, severity |
 | TC-API-3.23 | Verify UAT test pet Charlie has behavioral alert | GET /api/pets/{id} where name = "TestCooper" (pet for uat-charlie@groombook.dev) | medicalAlerts includes an entry with type: "behavioral", severity: "low" or "high" |
 | TC-API-3.24 | Verify UAT test pet Delta has skin alert | GET /api/pets/{id} where name = "TestRocky" (pet for uat-delta@groombook.dev) | medicalAlerts includes an entry with type: "skin" |
+| TC-API-3.25 | Verify 30+ total pets in UAT DB | GET /api/pets then count total | 30+ pets returned (UAT seed creates 500 random-pool + 5 UAT test clients + 2 UAT customer = 507 total) |
+| TC-API-3.26 | Verify 25-35% medicalAlerts distribution | GET /api/pets (first 30 pets), count how many have non-empty medicalAlerts | Ratio is 25-35% (seed uses rand() < 0.3 for ~30% distribution) |
 
 ### 4.4 Appointment Scheduling
 

packages/db/src/seed.ts

@@ -1009,6 +1009,7 @@ async function seed() {
           temperamentScore: randInt(1, 5),
           temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
           medicalAlerts: (() => {
+            // ~30% of random-pool pets have alerts — lands squarely in the 25–35% AC band
             if (rand() < 0.3) {
               const count = rand() < 0.7 ? 1 : 2;
               return pickN(medicalAlertPool, count).map((a) => ({ ...a, id: uuid() }));
@@ -1105,14 +1106,16 @@ async function seed() {
         temperamentScore: randInt(1, 5),
         temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
         medicalAlerts: (() => {
-          // Deterministic alerts for UAT AC pets
+          // TestCooper always has a behavioral alert; TestRocky always has a skin alert.
+          // All other UAT test pets follow the 30% random distribution.
+          // Deterministic alerts on 2 of 507 pets (~0.4%) do not meaningfully shift
+          // the overall distribution from the 25–35% target.
           if (uc.petName === "TestCooper") {
             return pickN(medicalAlertPool.filter((a) => a.type === "behavioral"), 1).map((a) => ({ ...a, id: uuid() }));
           }
           if (uc.petName === "TestRocky") {
             return pickN(medicalAlertPool.filter((a) => a.type === "skin"), 1).map((a) => ({ ...a, id: uuid() }));
           }
-          // Other UAT pets: random
           if (rand() < 0.3) {
             const count = rand() < 0.7 ? 1 : 2;
             return pickN(medicalAlertPool, count).map((a) => ({ ...a, id: uuid() }));
@@ -1136,6 +1139,16 @@ async function seed() {
           temperamentScore: randInt(1, 5),
           temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
           medicalAlerts: (() => {
+            // TestCooper always has a behavioral alert; TestRocky always has a skin alert.
+            // All other UAT test pets follow the 30% random distribution.
+            // Deterministic alerts on 2 of 507 pets (~0.4%) do not meaningfully shift
+            // the overall distribution from the 25–35% target.
+            if (uc.petName === "TestCooper") {
+              return pickN(medicalAlertPool.filter((a) => a.type === "behavioral"), 1).map((a) => ({ ...a, id: uuid() }));
+            }
+            if (uc.petName === "TestRocky") {
+              return pickN(medicalAlertPool.filter((a) => a.type === "skin"), 1).map((a) => ({ ...a, id: uuid() }));
+            }
             if (rand() < 0.3) {
               const count = rand() < 0.7 ? 1 : 2;
               return pickN(medicalAlertPool, count).map((a) => ({ ...a, id: uuid() }));