Merge pull request 'Promote dev→uat: expand UAT seed to 30+ pets with medicalAlerts 25-35% distribution (GRO-1962)' (#117) from dev into uat
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This commit was merged in pull request #117.
This commit is contained in:
2026-05-31 22:47:11 +00:00
2 changed files with 62 additions and 10 deletions
+2
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@@ -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
+60 -10
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@@ -609,8 +609,45 @@ async function seedUatStaffAccounts(db: ReturnType<typeof drizzle>) {
.from(schema.pets)
.where(eq(schema.pets.id, pet.id))
.limit(1);
if (existing) {
console.log(`✓ UAT Pet '${existing.name}' already exists — skipping`);
// Upsert so extended fields are always populated on re-runs
await db.insert(schema.pets)
.values({
id: pet.id,
clientId: uatCustomerClientId,
name: pet.name,
species: pet.species,
breed: pet.breed,
weightKg: pet.weight,
dateOfBirth: new Date(`${pet.dob}T00:00:00Z`),
image: pet.image,
temperamentScore: randInt(1, 5),
temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
medicalAlerts: [],
preferredCuts: pickN(preferredCutPool, randInt(1, 2)),
coatType: pick(coatTypePool),
petSizeCategory: pick(petSizeCategoryPool),
})
.onConflictDoUpdate({
target: schema.pets.id,
set: {
clientId: uatCustomerClientId,
name: pet.name,
species: pet.species,
breed: pet.breed,
weightKg: pet.weight,
dateOfBirth: new Date(`${pet.dob}T00:00:00Z`),
image: pet.image,
temperamentScore: randInt(1, 5),
temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
medicalAlerts: [],
preferredCuts: pickN(preferredCutPool, randInt(1, 2)),
coatType: pick(coatTypePool),
petSizeCategory: pick(petSizeCategoryPool),
},
});
console.log(`✓ Upserted UAT pet '${pet.name}' with extended fields`);
} else {
await db.insert(schema.pets).values({
id: pet.id,
@@ -621,8 +658,14 @@ async function seedUatStaffAccounts(db: ReturnType<typeof drizzle>) {
weightKg: pet.weight,
dateOfBirth: new Date(`${pet.dob}T00:00:00Z`),
image: pet.image,
temperamentScore: randInt(1, 5),
temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
medicalAlerts: [],
preferredCuts: pickN(preferredCutPool, randInt(1, 2)),
coatType: pick(coatTypePool),
petSizeCategory: pick(petSizeCategoryPool),
});
console.log(`✓ Created UAT pet '${pet.name}'`);
console.log(`✓ Created UAT pet '${pet.name}' with extended fields`);
}
}
}
@@ -966,6 +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 2535% AC band
if (rand() < 0.3) {
const count = rand() < 0.7 ? 1 : 2;
return pickN(medicalAlertPool, count).map((a) => ({ ...a, id: uuid() }));
@@ -1062,15 +1106,14 @@ async function seed() {
temperamentScore: randInt(1, 5),
temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
medicalAlerts: (() => {
// Deterministic alerts for UAT AC pets
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
// ~30% of pets get alerts; TestCooper/TestRocky get deterministic types
if (rand() < 0.3) {
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() }));
}
const count = rand() < 0.7 ? 1 : 2;
return pickN(medicalAlertPool, count).map((a) => ({ ...a, id: uuid() }));
}
@@ -1093,7 +1136,14 @@ async function seed() {
temperamentScore: randInt(1, 5),
temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
medicalAlerts: (() => {
// ~30% of pets get alerts; TestCooper/TestRocky get deterministic types
if (rand() < 0.3) {
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() }));
}
const count = rand() < 0.7 ? 1 : 2;
return pickN(medicalAlertPool, count).map((a) => ({ ...a, id: uuid() }));
}