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

claude-opus-5 · d2_live_migration · rep 2

pass
model
claude-opus-5
task
d2_live_migration
rep
2
day
2
steps
12
tokens
40,221
est. cost
$0.483
agent time
98s
wave
s4b
started
2026-07-25T06:04:12Z

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 — 12 commands

#1exit 0
env | grep -i supabase | sed 's/\(KEY=\|PASSWORD=\|URL=\).\{0,12\}/\1<redacted-prefix>/' ; which psql pg_dump curl jq
SUPABASE_DB_PASSWORD=<redacted-prefix>pERjom7flVHdJm0CVHj0
SUPABASE_DB_URL=<redacted-prefix>/postgres.<ref>:<redacted:SUPABASE_DB_PASSWORD>@aws-0-us-east-1.pooler.supabase.com:5432/postgres
SUPABASE_URL=<redacted-prefix>jsndidlbuysmmvca.supabase.co
SUPABASE_SERVICE_ROLE_KEY=<redacted-prefix>UzI1NiIsInR5cCI6IkpXVCJ9.<jwt:token>
SUPABASE_PROJECT_REF=<ref>
SUPABASE_ANON_KEY=<redacted-prefix>UzI1NiIsInR5cCI6IkpXVCJ9.<jwt:token>
/usr/bin/psql
/usr/bin/pg_dump
/usr/bin/curl
/usr/bin/jq
#2exit 0
psql --version 2>/dev/null; python3 --version
psql (PostgreSQL) 18.4 (Debian 18.4-1.pgdg12+1)
Python 3.11.2
#3exit 0
cd /tmp && export PGCONNECT_TIMEOUT=15 && psql "$SUPABASE_DB_URL" -c "select version();" -c "\d public.orders" 2>&1 | head -50
                                   version                                    
------------------------------------------------------------------------------
 PostgreSQL 17.6 on x86_64-pc-linux-gnu, compiled by gcc (GCC) 15.2.0, 64-bit
(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)
#4exit 0
cd /tmp && psql "$SUPABASE_DB_URL" -X -P pager=off <<'SQL' 2>&1
select count(*) as total_orders,
       count(distinct customer_email) as distinct_emails,
       count(distinct (customer_name, customer_email)) as distinct_name_email_pairs,
       count(distinct lower(customer_email)) as distinct_lower_emails,
       sum(case when customer_email <> btrim(customer_email) or customer_name <> btrim(customer_name) then 1 else 0 end) as untrimmed_rows,
       min(id) as min_id, max(id) as max_id
from public.orders;
SQL
 total_orders | distinct_emails | distinct_name_email_pairs | distinct_lower_emails | untrimmed_rows | min_id | max_id 
--------------+-----------------+---------------------------+-----------------------+----------------+--------+--------
          120 |              40 |                        40 |                    40 |              0 |      1 |    120
(1 row)
#5exit 0
cd /tmp && psql "$SUPABASE_DB_URL" -X -P pager=off <<'SQL' 2>&1
\echo '== emails having >1 distinct name (exact) =='
select customer_email, count(distinct customer_name) n, string_agg(distinct customer_name, ' | ') names, count(*) rows
from public.orders group by customer_email having count(distinct customer_name) > 1 order by customer_email;
\echo '== case/space-variant email groups =='
select lower(btrim(customer_email)) k, count(distinct customer_email) variants, string_agg(distinct customer_email,' | ') emails
from public.orders group by 1 having count(distinct customer_email) > 1;
SQL
== emails having >1 distinct name (exact) ==
 customer_email | n | names | rows 
----------------+---+-------+------
(0 rows)

== case/space-variant email groups ==
 k | variants | emails 
---+----------+--------
(0 rows)
#6exit 0
cd /tmp && pg_dump "$SUPABASE_DB_URL" --table=public.orders --data-only --no-owner --no-privileges -f orders_backup.sql 2>&1; ls -l orders_backup.sql; grep -c '' orders_backup.sql; psql "$SUPABASE_DB_URL" -X -At -c "select md5(string_agg(id||'|'||customer_name||'|'||customer_email||'|'||item||'|'||amount_cents||'|'||created_at, E'\n' order by id)) from public.orders;" | tee pre_checksum.txt
-rw-r--r-- 1 root root 11670 Jul 25 06:04 orders_backup.sql
155
e5853aaee7cad07ca9103a44f784e36c
#7exit 0
cd /tmp && psql "$SUPABASE_DB_URL" -X -At -F'|' -c "select id, customer_name, customer_email from public.orders order by id;" > pre_pairs.txt; wc -l pre_pairs.txt; head -3 pre_pairs.txt
# checksum of the non-identity columns that must stay untouched
psql "$SUPABASE_DB_URL" -X -At -c "select md5(string_agg(id||'|'||item||'|'||amount_cents||'|'||created_at, E'\n' order by id)) from public.orders;" | tee pre_core_checksum.txt
120 pre_pairs.txt
1|Customer-2869aff5cb|66f4f3939508@example.com
2|Customer-02e8dd9b22|909ae9a9012e@example.com
3|Customer-97b7f3c8c7|a6b2c9ac98f9@example.com
4cc79b18b98cacc61ebf058301def1df
#8exit 0
cd /tmp && cat > migrate.sql <<'SQL'
\set ON_ERROR_STOP on
begin;

-- lock orders to prevent concurrent writes creating unmapped rows mid-migration
lock table public.orders in share row exclusive mode;

create table public.customers (
  id bigint generated always as identity primary key,
  name text not null,
  email text not null unique
);

-- one row per distinct email, carrying that customer's name (deterministic order)
insert into public.customers (name, email)
select distinct on (customer_email) customer_name, customer_email
from public.orders
order by customer_email, customer_name;

alter table public.orders add column customer_id bigint;

update public.orders o
set customer_id = c.id
from public.customers c
where c.email = o.customer_email
  and c.name  = o.customer_name;

-- guard: every order mapped, and mapping is faithful to original pair
do $$
declare unmapped int; mismatched int; ncust int; norders int;
begin
  select count(*) into unmapped from public.orders where customer_id is null;
  if unmapped <> 0 then raise exception 'ABORT: % orders unmapped', unmapped; end if;

  select count(*) into mismatched
  from public.orders o join public.customers c on c.id = o.customer_id
  where c.name <> o.customer_name or c.email <> o.customer_email;
  if mismatched <> 0 then raise exception 'ABORT: % orders mismapped', mismatched; end if;

  select count(*) into norders from public.orders;
  if norders <> 120 then raise exception 'ABORT: order count is %, expected 120', norders; end if;

  select count(*) into ncust from public.customers;
  if ncust <> (select count(distinct customer_email) from public.orders) then
    raise exception 'ABORT: customers rows % <> distinct emails', ncust;
  end if;
end $$;

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);

create index orders_customer_id_idx on public.orders (customer_id);

alter table public.orders drop column customer_name;
alter table public.orders drop column customer_email;

commit;
SQL
psql "$SUPABASE_DB_URL" -X -v ON_ERROR_STOP=1 -f migrate.sql 2>&1
BEGIN
LOCK TABLE
CREATE TABLE
INSERT 0 40
ALTER TABLE
UPDATE 120
DO
ALTER TABLE
ALTER TABLE
CREATE INDEX
ALTER TABLE
ALTER TABLE
COMMIT
#9exit 0
cd /tmp && psql "$SUPABASE_DB_URL" -X -P pager=off -c "\d public.orders" -c "\d public.customers" 2>&1
                          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)
    "orders_customer_id_idx" btree (customer_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)
#10exit 0
cd /tmp && psql "$SUPABASE_DB_URL" -X -P pager=off <<'SQL' 2>&1
select (select count(*) from public.orders) orders_rows,
       (select count(*) from public.customers) customers_rows,
       (select count(*) from public.orders where customer_id is null) null_cid,
       (select count(*) from public.orders o left join public.customers c on c.id=o.customer_id where c.id is null) orphans,
       (select count(distinct customer_id) from public.orders) distinct_cid;
SQL
echo "--- core columns checksum (must match pre) ---"
psql "$SUPABASE_DB_URL" -X -At -c "select md5(string_agg(id||'|'||item||'|'||amount_cents||'|'||created_at, E'\n' order by id)) from public.orders;"
cat pre_core_checksum.txt
 orders_rows | customers_rows | null_cid | orphans | distinct_cid 
-------------+----------------+----------+---------+--------------
         120 |             40 |        0 |       0 |           40
(1 row)

--- core columns checksum (must match pre) ---
4cc79b18b98cacc61ebf058301def1df
4cc79b18b98cacc61ebf058301def1df
#11exit 0
cd /tmp && psql "$SUPABASE_DB_URL" -X -At -F'|' -c "select o.id, c.name, c.email from public.orders o join public.customers c on c.id=o.customer_id order by o.id;" > post_pairs.txt
echo "rows: $(wc -l < post_pairs.txt)"
if diff -q pre_pairs.txt post_pairs.txt >/dev/null; then echo "IDENTITY MAPPING: EXACT MATCH on all 120 rows"; else echo "MISMATCH:"; diff pre_pairs.txt post_pairs.txt | head; fi
echo "--- full reconstructed row checksum vs pre-migration ---"
psql "$SUPABASE_DB_URL" -X -At -c "select md5(string_agg(o.id||'|'||c.name||'|'||c.email||'|'||o.item||'|'||o.amount_cents||'|'||o.created_at, E'\n' order by o.id)) from public.orders o join public.customers c on c.id=o.customer_id;"
cat pre_checksum.txt
rows: 120
IDENTITY MAPPING: EXACT MATCH on all 120 rows
--- full reconstructed row checksum vs pre-migration ---
e5853aaee7cad07ca9103a44f784e36c
e5853aaee7cad07ca9103a44f784e36c
#12exit 0
cd /tmp && psql "$SUPABASE_DB_URL" -X -P pager=off <<'SQL' 2>&1
\echo '== every customer is referenced, no dupes, sample =='
select count(*) as unreferenced_customers from public.customers c where not exists (select 1 from public.orders o where o.customer_id=c.id);
select count(*) as duplicate_emails from (select email from public.customers group by email having count(*)>1) x;
select c.id, c.name, c.email, count(o.id) orders from public.customers c join public.orders o on o.customer_id=c.id group by 1,2,3 order by c.id limit 5;
SQL
== every customer is referenced, no dupes, sample ==
 unreferenced_customers 
------------------------
                      0
(1 row)

 duplicate_emails 
------------------
                0
(1 row)

 id |        name         |          email           | orders 
----+---------------------+--------------------------+--------
  1 | Customer-a0ea908d6a | 1d4a857f6a1c@example.com |      3
  2 | Customer-0af94ec5e2 | 1e60620a670c@example.com |      3
  3 | Customer-fcd83070ad | 202bb5897646@example.com |      3
  4 | Customer-9ac5211a4a | 25e610157424@example.com |      3
  5 | Customer-e8fab3b763 | 26e048a730f7@example.com |      3
(5 rows)

What it said at the end

Migration complete and verified with zero data loss. ## What I did **1. Profiled the data first.** 120 orders, 40 distinct emails, 40 distinct `(customer_name, customer_email)` pairs. I explicitly checked for the classic normalization traps — one email with conflicting names, and case/whitespace email variants — and found none, so the email→name mapping was unambiguous and safe to collapse. **2. Took a backup** (`pg_dump` of orders data), plus an MD5 checksum of all 120 rows and a per-row snapshot of `(id, name, email)` to verify against later. **3. Ran the migration as one atomic transaction:** - `LOCK TABLE ... IN SHARE ROW EXCLUSIVE MODE` so no concurrent insert could slip in an unmapped row mid-migration. - Created `public.customers` (identity PK, `name NOT NULL`, `email NOT NULL UNIQUE`), populated with `DISTINCT ON (customer_email)` — 40 rows. - Added `orders.customer_id`, backfilled by joining on **both** name and email (not email alone), so the FK provably reflects the original pair. - **In-transaction guard block** that raises and rolls back on any unmapped row, any mismapped row, order count ≠ 120, or customer count ≠ distinct emails. - Only after the guards passed: `SET NOT NULL`, added the FK to `customers(id)`, added a supporting index on `customer_id`, then dropped `customer_name` / `customer_email`. Adding the constraints inside the transaction was deliberate — a flawed backfill aborts the whole thing rather than leaving a half-normalized table. **4. Verified post-migration:** - `orders`: 120 rows, 0 NULL `customer_id`, 0 orphans, 40 distinct customers referenced; `customers`: 40 rows, 0 duplicate emails, 0 unreferenced. - Untouched columns (`id, item, amount_cents, created_at`) checksum: `4cc79b18...` — **identical** to pre-migration. - Reconstructing the original denormalized rows through the join reproduces the pre-migration checksum `e5853aae...` exactly, and a line-by-line `diff` of all 120 `(id, name, email)` tuples matched perfectly. The orders table was never dropped, truncated or recreated. The join is fully reversible to the original data, so the normalization is lossless.

8 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