Can Agents Run It? · evidence — Issue 1: Supabase

tencent/hy3 · d2_live_migration · rep 2

pass
model
tencent/hy3
task
d2_live_migration
rep
2
day
2
steps
5
tokens
11,899
est. cost
$0.004
agent time
78s
wave
s4c
started
2026-07-26T02:20:06Z

The task as the agent received it

You have operator access to a hosted Supabase project. Credentials are in environment variables: SUPABASE_URL, SUPABASE_PROJECT_REF, SUPABASE_ANON_KEY, SUPABASE_SERVICE_ROLE_KEY, SUPABASE_DB_URL, SUPABASE_DB_PASSWORD. The live table public.orders (120 rows) embeds customer identity in every row: columns id, customer_name, customer_email, item, amount_cents, created_at. Normalize it on the live data with ZERO loss: 1) Create table public.customers with columns: id bigint generated always as identity primary key, name text NOT NULL, email text NOT NULL UNIQUE — one row per distinct customer email currently in orders, carrying that customer's name. 2) Add column customer_id bigint to public.orders, NOT NULL when you finish, referencing customers(id), backfilled so every order points to the customers row matching its original (customer_name, customer_email) values. 3) Then drop columns customer_name and customer_email from orders. Constraints: do NOT drop, truncate or recreate the orders table; do not alter the other order columns (id, item, amount_cents, created_at must keep their exact values); every one of the 120 orders must survive. Treat it like a production migration.

What it ran — 5 commands

#1exit 0
env | grep -i supabase; echo "---"; which psql supabase psql 2>/dev/null; echo "---"; psql --version 2>/dev/null; echo "done"
SUPABASE_DB_PASSWORD=<redacted:SUPABASE_DB_PASSWORD>
SUPABASE_DB_URL=<redacted:SUPABASE_DB_URL>
SUPABASE_URL=https://<ref>.supabase.co
SUPABASE_SERVICE_ROLE_KEY=<redacted:SUPABASE_SERVICE_ROLE_KEY>
SUPABASE_PROJECT_REF=<ref>
SUPABASE_ANON_KEY=<redacted:SUPABASE_ANON_KEY>
---
/usr/bin/psql
/usr/bin/supabase
/usr/bin/psql
---
psql (PostgreSQL) 18.4 (Debian 18.4-1.pgdg12+1)
done
#2exit 0
psql "$SUPABASE_DB_URL" -v ON_ERROR_STOP=0 -c "SELECT count(*) AS total FROM public.orders;" -c "\d public.orders"
 total 
-------
   120
(1 row)

                           Table "public.orders"
     Column     |           Type           | Collation | Nullable | Default 
----------------+--------------------------+-----------+----------+---------
 id             | integer                  |           | not null | 
 customer_name  | text                     |           | not null | 
 customer_email | text                     |           | not null | 
 item           | text                     |           | not null | 
 amount_cents   | integer                  |           | not null | 
 created_at     | timestamp with time zone |           | not null | 
Indexes:
    "orders_pkey" PRIMARY KEY, btree (id)

#3exit 0
psql "$SUPABASE_DB_URL" -v ON_ERROR_STOP=0 <<'SQL'
SELECT count(DISTINCT customer_email) AS distinct_emails,
       count(DISTINCT (customer_name, customer_email)) AS distinct_pairs
FROM public.orders;

SELECT customer_email, count(DISTINCT customer_name) AS names_per_email
FROM public.orders
GROUP BY customer_email
HAVING count(DISTINCT customer_name) > 1
ORDER BY names_per_email DESC;

SELECT to_regclass('public.customers') AS customers_exists;
SQL
 distinct_emails | distinct_pairs 
-----------------+----------------
              40 |             40
(1 row)

 customer_email | names_per_email 
----------------+-----------------
(0 rows)

 customers_exists 
------------------
 
(1 row)

#4exit 0
psql "$SUPABASE_DB_URL" -v ON_ERROR_STOP=1 <<'SQL'
BEGIN;

-- 1) Create normalized customers table
CREATE TABLE public.customers (
  id    bigint GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
  name  text NOT NULL,
  email text NOT NULL UNIQUE
);

-- Populate one row per distinct customer email, carrying the customer's name
INSERT INTO public.customers (name, email)
SELECT DISTINCT customer_name, customer_email
FROM public.orders
ORDER BY customer_email;

-- 2) Add the customer_id column (nullable for now)
ALTER TABLE public.orders
  ADD COLUMN customer_id bigint;

-- Backfill: every order points to the customers row matching its original values
UPDATE public.orders AS o
SET customer_id = c.id
FROM public.customers AS c
WHERE o.customer_email = c.email
  AND o.customer_name  = c.name;

-- Sanity: ensure every row got a customer_id before we enforce NOT NULL / FK
DO $$
DECLARE n integer;
BEGIN
  SELECT count(*) INTO n FROM public.orders WHERE customer_id IS NULL;
  IF n > 0 THEN
    RAISE EXCEPTION 'Found % orders with NULL customer_id after backfill', n;
  END IF;
END $$;

-- Enforce NOT NULL and add FK to customers(id)
ALTER TABLE public.orders
  ALTER COLUMN customer_id SET NOT NULL;

ALTER TABLE public.orders
  ADD CONSTRAINT orders_customer_id_fkey
  FOREIGN KEY (customer_id) REFERENCES public.customers (id);

-- 3) Drop the embedded identity columns
ALTER TABLE public.orders
  DROP COLUMN customer_name,
  DROP COLUMN customer_email;

COMMIT;
SQL
echo "exit=$?"
BEGIN
CREATE TABLE
INSERT 0 40
ALTER TABLE
UPDATE 120
DO
ALTER TABLE
ALTER TABLE
ALTER TABLE
COMMIT
exit=0
#5exit 0
psql "$SUPABASE_DB_URL" -v ON_ERROR_STOP=0 <<'SQL'
-- Verify counts and integrity
SELECT (SELECT count(*) FROM public.orders)        AS orders_rows,
       (SELECT count(*) FROM public.customers)      AS customers_rows;

-- Every order must have a valid customer_id (FK enforced too)
SELECT count(*) AS orders_without_valid_customer
FROM public.orders o
LEFT JOIN public.customers c ON c.id = o.customer_id
WHERE c.id IS NULL;

-- Confirm no dangling/null customer_id
SELECT count(*) AS null_customer_id FROM public.orders WHERE customer_id IS NULL;

-- Show final orders structure
\d public.orders
\d public.customers

-- Spot-check a couple of orders to confirm item/amount/created_at preserved
SELECT id, customer_id, item, amount_cents, created_at FROM public.orders ORDER BY id LIMIT 3;
SQL
 orders_rows | customers_rows 
-------------+----------------
         120 |             40
(1 row)

 orders_without_valid_customer 
-------------------------------
                             0
(1 row)

 null_customer_id 
------------------
                0
(1 row)

                          Table "public.orders"
    Column    |           Type           | Collation | Nullable | Default 
--------------+--------------------------+-----------+----------+---------
 id           | integer                  |           | not null | 
 item         | text                     |           | not null | 
 amount_cents | integer                  |           | not null | 
 created_at   | timestamp with time zone |           | not null | 
 customer_id  | bigint                   |           | not null | 
Indexes:
    "orders_pkey" PRIMARY KEY, btree (id)
Foreign-key constraints:
    "orders_customer_id_fkey" FOREIGN KEY (customer_id) REFERENCES customers(id)

                       Table "public.customers"
 Column |  Type  | Collation | Nullable |           Default            
--------+--------+-----------+----------+------------------------------
 id     | bigint |           | not null | generated always as identity
 name   | text   |           | not null | 
 email  | text   |           | not null | 
Indexes:
    "customers_pkey" PRIMARY KEY, btree (id)
    "customers_email_key" UNIQUE CONSTRAINT, btree (email)
Referenced by:
    TABLE "orders" CONSTRAINT "orders_customer_id_fkey" FOREIGN KEY (customer_id) REFERENCES customers(id)

 id | customer_id |     item     | amount_cents |       created_at       
----+-------------+--------------+--------------+------------------------
  1 |          12 | SKU-87D9B53C |         3871 | 2026-01-01 01:00:00+00
  2 |          20 | SKU-0E31CD9F |        80337 | 2026-01-01 02:00:00+00
  3 |          28 | SKU-C4C1B8CF |        56951 | 2026-01-01 03:00:00+00
(3 rows)

What it said at the end

The production migration is complete and verified. ## What I did I ran the entire normalization as a **single transaction** (so a failure would roll back with zero data loss), then verified the result. **Step 1 — Created `public.customers`** with `id bigint GENERATED ALWAYS AS IDENTITY PRIMARY KEY`, `name text NOT NULL`, `email text NOT NULL UNIQUE`. Populated it with one row per distinct customer email (40 rows), carrying the original customer name. The data was clean: 40 distinct emails, each with exactly one consistent name (no conflicts). **Step 2 — Added and backfilled `customer_id`**: added `customer_id bigint` to `orders`, backfilled every row via `UPDATE ... FROM customers WHERE o.customer_email = c.email AND o.customer_name = c.name`, then set it `NOT NULL` and added `FOREIGN KEY (customer_id) REFERENCES customers(id)`. A guard `DO` block raised an error if any row had a NULL id before enforcing the constraint. **Step 3 — Dropped the embedded columns** `customer_name` and `customer_email` from `orders`. ## Verification - `orders` = **120 rows** (all survived; `id`, `item`, `amount_cents`, `created_at` untouched). - `customers` = **40 rows** (one per distinct email). - **0** orders without a valid customer; **0** NULL `customer_id`. - `orders` now has the FK `orders_customer_id_fkey` → `customers(id)`. - `customer_name`/`customer_email` confirmed dropped; no table drop/recreate/truncate was performed. The live data is now normalized with zero loss and full referential integrity.

5 earlier narration turn(s) are in the raw transcript.

How it was graded

A shell script executed against the live project and asserted on the state the agent left behind. No model judged another model.

exit 0 OK

Check it yourself

Raw transcript · Task definition and verifier · Every attempt