FA-1011 / Reliability / Open access
Enter a dependency bulkhead: A waiting call starts after its queue deadline · case 01
The bulkhead admission operation is admitted even though a waiting call starts after its queue deadline.
ROOT CAUSE
The admission path omits the queue deadline invariant while validating the other operation preconditions.
VERIFIED REPAIR
Require r['queue_deadline'][0] < r['queue_deadline'][1] together with every other stated precondition before accepting the operation.
Unsuccessful approach: Adding the queue deadline check repairs the reported defect, but replacing the adjacent priority reservation check loses that independent invariant.
Case contract
Return a Boolean admission decision for enter a dependency bulkhead. The record r must satisfy all of: r['active_capacity'][0] < r['active_capacity'][1]; r['queue_capacity'][0] < r['queue_capacity'][1]; r['queue_deadline'][0] < r['queue_deadline'][1]; r['priority_reservation'][0] or r['priority_reservation'][1] < r['priority_reservation'][2]-r['priority_reservation'][3]; r['isolation_key'][0] == r['isolation_key'][1]. Extra tracing fields are ignored; validation does not mutate the record.
Why this case matters
A deterministic local contract for reliability. Each negative fixture violates exactly one invariant. No transport timing, persistence, cryptographic verification, or full protocol implementation is claimed.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(r):
return (r['active_capacity'][0] < r['active_capacity'][1]) and (r['queue_capacity'][0] < r['queue_capacity'][1]) and (r['priority_reservation'][0] or r['priority_reservation'][1] < r['priority_reservation'][2]-r['priority_reservation'][3]) and (r['isolation_key'][0] == r['isolation_key'][1])
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
r = {'active_capacity': [2, 3], 'queue_capacity': [4, 5], 'queue_deadline': [8, 9], 'priority_reservation': [False, 2, 5, 2], 'isolation_key': ['db1', 'db1']}
check('valid operation', solve(r), True)
check('Concurrent calls exceed the dependency execution limit', solve(dict(r, **{'active_capacity': [3, 3]})), False)
check('Waiting callers exceed the bounded waiting queue', solve(dict(r, **{'queue_capacity': [5, 5]})), False)
check('A waiting call starts after its queue deadline', solve(dict(r, **{'queue_deadline': [9, 9]})), False)
check('Normal traffic consumes capacity reserved for recovery', solve(dict(r, **{'priority_reservation': [False, 3, 5, 2]})), False)
check('Unrelated dependencies share a bulkhead accounting key', solve(dict(r, **{'isolation_key': ['db2', 'db1']})), False)
check('unrelated tracing metadata', solve(dict(r, trace='run-'+str(N))), True)
check('repeat validation is pure', solve(r), True)
invalid = {'active_capacity': [3, 3], 'queue_capacity': [5, 5], 'queue_deadline': [9, 9], 'priority_reservation': [False, 3, 5, 2], 'isolation_key': ['db2', 'db1']}
keys = list(invalid)
pair = {keys[N % len(keys)]: invalid[keys[N % len(keys)]], keys[(N+1) % len(keys)]: invalid[keys[(N+1) % len(keys)]]}
check('two independent violations in variant', solve(dict(r, **pair)), False)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| valid operation | True | True | Passed |
| Concurrent calls exceed the dependency execution limit | False | False | Passed |
| Waiting callers exceed the bounded waiting queue | False | False | Passed |
| A waiting call starts after its queue deadline | True | False | Failed |
| Normal traffic consumes capacity reserved for recovery | False | False | Passed |
| Unrelated dependencies share a bulkhead accounting key | False | False | Passed |
| unrelated tracing metadata | True | True | Passed |
| repeat validation is pure | True | True | Passed |
| two independent violations in variant | False | False | Passed |
SHA-256 / 221478af81092540732e805cbf395a64a583343e8d8ae5e4764a50e3b12982ba
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(r):
return (r['active_capacity'][0] < r['active_capacity'][1]) and (r['queue_capacity'][0] < r['queue_capacity'][1]) and (r['queue_deadline'][0] < r['queue_deadline'][1]) and (r['isolation_key'][0] == r['isolation_key'][1])
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
r = {'active_capacity': [2, 3], 'queue_capacity': [4, 5], 'queue_deadline': [8, 9], 'priority_reservation': [False, 2, 5, 2], 'isolation_key': ['db1', 'db1']}
check('valid operation', solve(r), True)
check('Concurrent calls exceed the dependency execution limit', solve(dict(r, **{'active_capacity': [3, 3]})), False)
check('Waiting callers exceed the bounded waiting queue', solve(dict(r, **{'queue_capacity': [5, 5]})), False)
check('A waiting call starts after its queue deadline', solve(dict(r, **{'queue_deadline': [9, 9]})), False)
check('Normal traffic consumes capacity reserved for recovery', solve(dict(r, **{'priority_reservation': [False, 3, 5, 2]})), False)
check('Unrelated dependencies share a bulkhead accounting key', solve(dict(r, **{'isolation_key': ['db2', 'db1']})), False)
check('unrelated tracing metadata', solve(dict(r, trace='run-'+str(N))), True)
check('repeat validation is pure', solve(r), True)
invalid = {'active_capacity': [3, 3], 'queue_capacity': [5, 5], 'queue_deadline': [9, 9], 'priority_reservation': [False, 3, 5, 2], 'isolation_key': ['db2', 'db1']}
keys = list(invalid)
pair = {keys[N % len(keys)]: invalid[keys[N % len(keys)]], keys[(N+1) % len(keys)]: invalid[keys[(N+1) % len(keys)]]}
check('two independent violations in variant', solve(dict(r, **pair)), False)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| valid operation | True | True | Passed |
| Concurrent calls exceed the dependency execution limit | False | False | Passed |
| Waiting callers exceed the bounded waiting queue | False | False | Passed |
| A waiting call starts after its queue deadline | False | False | Passed |
| Normal traffic consumes capacity reserved for recovery | True | False | Failed |
| Unrelated dependencies share a bulkhead accounting key | False | False | Passed |
| unrelated tracing metadata | True | True | Passed |
| repeat validation is pure | True | True | Passed |
| two independent violations in variant | False | False | Passed |
SHA-256 / ded5c83e07785d5f258331f22c70c1ec5067d53ea2667675e091ef992353b420
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(r):
return (r['active_capacity'][0] < r['active_capacity'][1]) and (r['queue_capacity'][0] < r['queue_capacity'][1]) and (r['queue_deadline'][0] < r['queue_deadline'][1]) and (r['priority_reservation'][0] or r['priority_reservation'][1] < r['priority_reservation'][2]-r['priority_reservation'][3]) and (r['isolation_key'][0] == r['isolation_key'][1])
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
r = {'active_capacity': [2, 3], 'queue_capacity': [4, 5], 'queue_deadline': [8, 9], 'priority_reservation': [False, 2, 5, 2], 'isolation_key': ['db1', 'db1']}
check('valid operation', solve(r), True)
check('Concurrent calls exceed the dependency execution limit', solve(dict(r, **{'active_capacity': [3, 3]})), False)
check('Waiting callers exceed the bounded waiting queue', solve(dict(r, **{'queue_capacity': [5, 5]})), False)
check('A waiting call starts after its queue deadline', solve(dict(r, **{'queue_deadline': [9, 9]})), False)
check('Normal traffic consumes capacity reserved for recovery', solve(dict(r, **{'priority_reservation': [False, 3, 5, 2]})), False)
check('Unrelated dependencies share a bulkhead accounting key', solve(dict(r, **{'isolation_key': ['db2', 'db1']})), False)
check('unrelated tracing metadata', solve(dict(r, trace='run-'+str(N))), True)
check('repeat validation is pure', solve(r), True)
invalid = {'active_capacity': [3, 3], 'queue_capacity': [5, 5], 'queue_deadline': [9, 9], 'priority_reservation': [False, 3, 5, 2], 'isolation_key': ['db2', 'db1']}
keys = list(invalid)
pair = {keys[N % len(keys)]: invalid[keys[N % len(keys)]], keys[(N+1) % len(keys)]: invalid[keys[(N+1) % len(keys)]]}
check('two independent violations in variant', solve(dict(r, **pair)), False)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| valid operation | True | True | Passed |
| Concurrent calls exceed the dependency execution limit | False | False | Passed |
| Waiting callers exceed the bounded waiting queue | False | False | Passed |
| A waiting call starts after its queue deadline | False | False | Passed |
| Normal traffic consumes capacity reserved for recovery | False | False | Passed |
| Unrelated dependencies share a bulkhead accounting key | False | False | Passed |
| unrelated tracing metadata | True | True | Passed |
| repeat validation is pure | True | True | Passed |
| two independent violations in variant | False | False | Passed |
SHA-256 / 0cf65c3d6575d37617a023ceddabd36d71d06a67a402f5c55a7c961ee3b82e77
Verification & scope
This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.
Observations recorded using Python 3.12.14 at 2026-09-29T14:36:57.924333+00:00.
Case digest / ba5cc64c81e05803cd915d2394e0074814f84b77bfca4c321623815099f4407a