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

z-ai/glm-5.2 · d2_live_migration · rep 2

pass
model
z-ai/glm-5.2
task
d2_live_migration
rep
2
day
2
steps
5
tokens
8,996
est. cost
$0.013
agent time
57s
wave
s4
started
2026-07-24T15:50:11Z

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
echo "URL: $SUPABASE_URL"; echo "REF: $SUPABASE_PROJECT_REF"; echo "DB_URL: $SUPABASE_DB_URL"; echo "Anon key set: $([ -n "$SUPABASE_ANON_KEY" ] && echo yes)"; echo "Service key set: $([ -n "$SUPABASE_SERVICE_ROLE_KEY" ] && echo yes)"; echo "DB password set: $([ -n "$SUPABASE_DB_PASSWORD" ] && echo yes)"
URL: https://<ref>.supabase.co
REF: <ref>
DB_URL: <redacted:SUPABASE_DB_URL>
Anon key set: yes
Service key set: yes
DB password set: yes
#2exit 0
export PGPASSWORD='<redacted:SUPABASE_DB_PASSWORD>'
psql "$SUPABASE_DB_URL" -c "SELECT count(*) FROM public.orders;"
psql "$SUPABASE_DB_URL" -c "\d public.orders"
psql "$SUPABASE_DB_URL" -c "SELECT count(DISTINCT customer_email) AS distinct_emails, count(DISTINCT (customer_name, customer_email)) AS distinct_name_email_pairs FROM public.orders;"
 count 
-------
   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)

 distinct_emails | distinct_name_email_pairs 
-----------------+---------------------------
              40 |                        40
(1 row)

#3exit 0
export PGPASSWORD='<redacted:SUPABASE_DB_PASSWORD>'
# Check if any email maps to multiple distinct names
psql "$SUPABASE_DB_URL" -c "SELECT customer_email, count(DISTINCT customer_name) AS name_count FROM public.orders GROUP BY customer_email HAVING count(DISTINCT customer_name) > 1;"
 customer_email | name_count 
----------------+------------
(0 rows)

#4exit 0
export PGPASSWORD='<redacted:SUPABASE_DB_PASSWORD>'
psql "$SUPABASE_DB_URL" <<'SQL'
BEGIN;

-- 1) Create customers table with one row per distinct customer email
CREATE TABLE public.customers (
    id    bigint GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
    name  text    NOT NULL,
    email text    NOT NULL UNIQUE
);

INSERT INTO public.customers (name, email)
SELECT DISTINCT customer_name, customer_email
FROM   public.orders
ORDER  BY customer_email;

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

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

-- Verify every row was backfilled
DO $$
DECLARE unbackfilled int;
BEGIN
  SELECT count(*) INTO unbackfilled FROM public.orders WHERE customer_id IS NULL;
  IF unbackfilled > 0 THEN
    RAISE EXCEPTION 'Backfill failed: % orders have NULL customer_id', unbackfilled;
  END IF;
END $$;

-- Add FK and enforce NOT NULL
ALTER TABLE public.orders
  ADD CONSTRAINT orders_customer_id_fkey
  FOREIGN KEY (customer_id) REFERENCES public.customers(id);

ALTER TABLE public.orders
  ALTER COLUMN customer_id SET NOT NULL;

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

COMMIT;
SQL
BEGIN
CREATE TABLE
INSERT 0 40
ALTER TABLE
UPDATE 120
DO
ALTER TABLE
ALTER TABLE
ALTER TABLE
COMMIT
#5exit 0
export PGPASSWORD='<redacted:SUPABASE_DB_PASSWORD>'
echo "=== orders table structure ==="
psql "$SUPABASE_DB_URL" -c "\d public.orders"
echo "=== customers table structure ==="
psql "$SUPABASE_DB_URL" -c "\d public.customers"
echo "=== row counts ==="
psql "$SUPABASE_DB_URL" -c "SELECT (SELECT count(*) FROM public.orders) AS orders_count, (SELECT count(*) FROM public.customers) AS customers_count;"
echo "=== referential integrity check ==="
psql "$SUPABASE_DB_URL" -c "SELECT count(*) AS orphaned_orders FROM public.orders o LEFT JOIN public.customers c ON o.customer_id = c.id WHERE c.id IS NULL;"
echo "=== sample data ==="
psql "$SUPABASE_DB_URL" -c "SELECT o.id, o.item, o.amount_cents, o.created_at, o.customer_id, c.name, c.email FROM public.orders o JOIN public.customers c ON o.customer_id = c.id ORDER BY o.id LIMIT 5;"
=== orders table structure ===
                          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)

=== customers table structure ===
                       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)

=== row counts ===
 orders_count | customers_count 
--------------+-----------------
          120 |              40
(1 row)

=== referential integrity check ===
 orphaned_orders 
-----------------
               0
(1 row)

=== sample data ===
 id |     item     | amount_cents |       created_at       | customer_id |        name         |          email           
----+--------------+--------------+------------------------+-------------+---------------------+--------------------------
  1 | SKU-87D9B53C |         3871 | 2026-01-01 01:00:00+00 |          12 | Customer-2869aff5cb | 66f4f3939508@example.com
  2 | SKU-0E31CD9F |        80337 | 2026-01-01 02:00:00+00 |          20 | Customer-02e8dd9b22 | 909ae9a9012e@example.com
  3 | SKU-C4C1B8CF |        56951 | 2026-01-01 03:00:00+00 |          28 | Customer-97b7f3c8c7 | a6b2c9ac98f9@example.com
  4 | SKU-BE7A64BE |        22040 | 2026-01-01 04:00:00+00 |          40 | Customer-fcbcf70008 | f2f8bede9b88@example.com
  5 | SKU-7C3D3496 |         5665 | 2026-01-01 05:00:00+00 |          33 | Customer-beeac6a182 | c6397bcf31c6@example.com
(5 rows)

What it said at the end

The migration completed successfully. Here's a summary of what was done: **Migration steps (executed in a single transaction for safety):** 1. **Created `public.customers`** — with `id bigint GENERATED ALWAYS AS IDENTITY PRIMARY KEY`, `name text NOT NULL`, `email text NOT NULL UNIQUE`. Populated with 40 distinct customer emails (each mapping to exactly one name, verified beforehand). 2. **Added `customer_id bigint` to `public.orders`** — backfilled all 120 orders to point at their matching customer row via `(customer_name, customer_email)`, verified zero NULLs remained, then added a FK constraint (`orders_customer_id_fkey`) referencing `customers(id)` and enforced `NOT NULL`. 3. **Dropped `customer_name` and `customer_email`** from `public.orders`. **Verification results:** - **120 orders** survived (count unchanged) ✅ - **40 customers** created (one per distinct email) ✅ - **0 orphaned orders** — every `customer_id` resolves to a valid `customers` row ✅ - `orders` columns `id`, `item`, `amount_cents`, `created_at` remain untouched ✅ - `customer_id` is `NOT NULL` with a FK to `customers(id)` ✅ - `customers.email` has a UNIQUE constraint ✅

1 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