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idempotency-test-author

Build-an-X for idempotency tests in any async/job/API context - idempotency-key handling (per Stripe / AWS prescriptive guidance pattern), retry-safe semantics (exactly-once vs at-least-once vs at-most-once), side-effect commutativity verification, fingerprint-based dedup, idempotency-window tuning. Use when authoring tests for any system where the same input could be processed twice (SQS Standard at-least-once, RabbitMQ requeue, retry-on-error logic, webhook redelivery, browser double-click, mobile-network retry).

Install with skills.sh (any agent)

npx skills add testland/qa --skill idempotency-test-author
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idempotency-test-author

Overview

Authors idempotency tests for any handler where the same input can be processed twice. Uses the industry-standard idempotency-key pattern (client sends a unique key per logical operation; the server records key -> response and returns the cached response on duplicates) plus commutative-side-effect designs for systems that cannot add keys. Sources in References.

When to use

  • Authoring tests for any handler that mutates state on input.
  • Reviewing PRs that add a new POST/PATCH endpoint or job processor.
  • The system is on at-least-once delivery (SQS Standard, RabbitMQ requeue) - idempotency tests are mandatory, not optional.
  • Webhook receivers that must handle vendor-side redelivery.

Step 1 - Classify delivery semantics

SemanticsExamplesTest requirement
Exactly-onceSQS FIFO, Kafka with EOSIdempotency tests are nice-to-have
At-least-onceSQS Standard, RabbitMQ requeue, BullMQ retry, webhook redeliveryIdempotency tests MANDATORY
At-most-onceUDP, fire-and-forgetIdempotency irrelevant; data-loss tests instead

Most production systems are at-least-once (or are at-least-once in failure modes). Default to mandatory tests.

Step 2 - Idempotency-key pattern

The canonical pattern (per Stripe):

  1. Client generates a unique key per logical operation (UUID).
  2. Client passes the key with every retry of that operation.
  3. Server stores (key, request_hash, response) on first request.
  4. Server returns the cached response on duplicate keys.
from typing import Tuple

class IdempotentEndpoint:
    def __init__(self, store):
        self.store = store

    def post_charge(self, idempotency_key: str, charge_data: dict) -> Tuple[int, dict]:
        cached = self.store.get(idempotency_key)
        if cached:
            # Duplicate request: return cached response
            return cached["status"], cached["body"]

        # First request: process + store
        result = process_charge(charge_data)
        self.store.set(idempotency_key, {"status": 200, "body": result})
        return 200, result

Test pattern:

def test_duplicate_idempotency_key_returns_cached_response(endpoint, store):
    key = "client-uuid-123"
    charge = {"amount": 100, "currency": "USD"}

    status1, body1 = endpoint.post_charge(key, charge)
    status2, body2 = endpoint.post_charge(key, charge)

    assert (status1, body1) == (status2, body2)

    # And only one charge was actually executed:
    assert charge_processor.execute.call_count == 1

Step 3 - Hash mismatch on key reuse

If a client reuses an idempotency key with a DIFFERENT body, the server must reject (per Stripe spec):

def test_idempotency_key_with_different_body_rejected(endpoint):
    key = "client-uuid-456"
    endpoint.post_charge(key, {"amount": 100})

    with pytest.raises(IdempotencyConflictError):
        endpoint.post_charge(key, {"amount": 200})   # same key, different body

This catches client bugs (key not properly scoped to one logical operation).

Step 4 - Side-effect commutativity for non-key designs

Some systems can't add idempotency keys (legacy webhook receivers, existing APIs). For these, design idempotent side effects via a transaction-id / fingerprint with an atomic upsert (ON CONFLICT DO NOTHING), then assert the effect runs once. Full code + test: references/idempotency-patterns.md.

Step 5 - Idempotency-window tuning

Idempotency keys consume storage; choose a TTL based on the maximum expected retry window. Common choices:

SystemRecommended TTL
Stripe API24 hours (per Stripe docs)
Internal HTTP retries1 hour
SQS at-least-once consumersMatch SQS message retention (default 4 days)
Webhook receivers7 days (vendors retry over multi-day windows)

Test pattern:

def test_idempotency_key_expires(endpoint, freezer):
    freezer.move_to("2026-05-06 00:00:00")
    endpoint.post_charge("key-1", charge)

    freezer.move_to("2026-05-07 00:01:00")   # 24h + 1min later
    # Key has expired; same key now treated as new request:
    endpoint.post_charge("key-1", charge)
    assert charge_processor.execute.call_count == 2

Step 6 - Race-condition test (concurrent duplicate)

The hardest case: two requests with the same idempotency key arrive simultaneously. Without atomic store + check, both can pass the "is this duplicate?" check. The implementation must use atomic CAS (DB unique constraint on idempotency_key with ON CONFLICT DO NOTHING, or Redis SETNX). Concurrent-duplicate test: references/idempotency-patterns.md.

Step 7 - End-to-end test recipe per handler

For each at-least-once handler:

  1. ✅ Single-request happy path test (baseline)
  2. ✅ Duplicate-key test (Step 2)
  3. ✅ Different-body-same-key rejection test (Step 3)
  4. ✅ TTL expiry test (Step 5)
  5. ✅ Concurrent-duplicate race test (Step 6)
  6. ✅ For event-driven systems: test that re-delivery from the broker (SQS message redelivery, RabbitMQ requeue) doesn't double-process

Anti-patterns

Anti-patternWhy it failsFix
Test only the first requestMisses every retry/duplicate scenarioAlways include Step 2 + 6
Idempotency check via SELECT-then-INSERTRace between SELECT and INSERT; concurrent duplicates both passAtomic CAS (Step 6)
Forget TTL on idempotency-key storeStorage grows unbounded; eventual outageSet TTL per system (Step 5)
Counter-based side effects without txn_id dedupIdempotency-broken even with idempotency keys aboveRefactor to commutative ops (Step 4)
Skip concurrent testMost race conditions only surface under loadAlways include Step 6

Limitations

  • This is a build-an-X workflow, not a tool wrapper. Tests use the application's existing test framework (pytest, JUnit, RSpec, etc.).
  • Idempotency-key TTL trades storage for safety; tune per business need.
  • Some operations are inherently non-idempotent (e.g., "send a one-time SMS"); document and accept the risk, or design a delivery-receipt protocol.
  • Distributed-transaction idempotency is out of scope; see saga-transaction-tests in qa-saga-cqrs.

References

  • aws-idem (opens in new window) - AWS Prescriptive Guidance on building idempotent applications
  • stripe.com/docs/api/idempotent_requests - Stripe's idempotency-key pattern (the de facto industry standard)
  • sqs-tests - Standard SQS is at-least-once; idempotency tests are mandatory
  • rabbitmq-tests - requeue + redelivery semantics need idempotent consumers
  • cron-job-test-author - cron jobs need idempotency for safe overlap recovery
  • webhook-delivery-tester (in the qa-notifications plugin) - webhook receivers need idempotency

Idempotency patterns: commutative side effects and concurrency

View source (opens in new window)

Idempotency patterns: commutative side effects and concurrency

Deeper patterns referenced from idempotency-test-author's SKILL.md (Step 4 and Step 6). The core idempotency-key pattern stays in the main skill file.

Side-effect commutativity for non-key designs

Some systems can't add idempotency keys (legacy webhook receivers, existing APIs). For these, make the side effect idempotent with a transaction-id / fingerprint and an atomic upsert.

# NON-idempotent (counter increment):
def credit_account(account_id, amount):
    db.execute("UPDATE accounts SET balance = balance + %s WHERE id = %s",
               (amount, account_id))

# IDEMPOTENT (use a transaction-id / fingerprint):
def credit_account(account_id, amount, txn_id):
    cursor = db.execute(
        "INSERT INTO transactions(txn_id, account_id, amount) VALUES (%s, %s, %s) "
        "ON CONFLICT (txn_id) DO NOTHING RETURNING id",
        (txn_id, account_id, amount)
    )
    if cursor.rowcount == 0:
        return  # duplicate; skip
    db.execute("UPDATE accounts SET balance = balance + %s WHERE id = %s",
               (amount, account_id))

Test pattern:

def test_credit_idempotent_via_txn_id():
    credit_account(account_id=1, amount=100, txn_id="t-1")
    credit_account(account_id=1, amount=100, txn_id="t-1")   # duplicate
    assert get_balance(1) == 100   # not 200

Race-condition test (concurrent duplicate)

The hardest case: two requests with the same idempotency key arrive simultaneously. Without an atomic store + check, both can pass the "is this duplicate?" check.

def test_concurrent_duplicate_processed_only_once(endpoint, charge_processor):
    key = "race-key"
    charge = {"amount": 100}

    with ThreadPoolExecutor(max_workers=2) as executor:
        f1 = executor.submit(endpoint.post_charge, key, charge)
        f2 = executor.submit(endpoint.post_charge, key, charge)
        r1, r2 = f1.result(), f2.result()

    assert r1 == r2
    assert charge_processor.execute.call_count == 1   # NOT 2

The implementation must use atomic CAS (e.g., a DB unique constraint on the idempotency_key column with ON CONFLICT DO NOTHING, or Redis SETNX).

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