Files
Jyotisha/tests/test_conversational_rectification_postgres_runtime.py
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2026-07-21 05:57:30 +08:00

1539 lines
53 KiB
Python

import json
import os
import subprocess
import tempfile
from dataclasses import dataclass
from pathlib import Path
import pytest
ROOT = Path(__file__).resolve().parents[1]
MIGRATIONS = ROOT / "frontend" / "supabase" / "migrations"
PG14_BIN_CANDIDATES = (
Path(os.environ.get("PG14_BIN", "/path/that/does/not/exist")),
Path("/opt/homebrew/opt/postgresql@14/bin"),
Path("/usr/local/opt/postgresql@14/bin"),
)
def _postgres_14_bin() -> Path | None:
for candidate in PG14_BIN_CANDIDATES:
initdb = candidate / "initdb"
if not initdb.is_file():
continue
version = subprocess.run(
[str(initdb), "--version"],
check=False,
capture_output=True,
text=True,
)
if version.returncode == 0 and " 14." in version.stdout:
return candidate
return None
PG14_BIN = _postgres_14_bin()
pytestmark = pytest.mark.skipif(PG14_BIN is None, reason="PostgreSQL 14 binaries are unavailable")
@dataclass(frozen=True)
class PgDatabase:
bin_dir: Path
socket_dir: Path
port: int
def command(self, *extra: str) -> list[str]:
return [
str(self.bin_dir / "psql"),
"-X",
"-v",
"ON_ERROR_STOP=1",
"-h",
str(self.socket_dir),
"-p",
str(self.port),
"-U",
"postgres",
"-d",
"postgres",
*extra,
]
def sql(self, statement: str) -> str:
completed = subprocess.run(
self.command("-A", "-t", "-q", "-c", statement),
check=False,
capture_output=True,
text=True,
errors="replace",
)
assert completed.returncode == 0, completed.stderr
return completed.stdout.strip()
def rejects(self, statement: str) -> bool:
completed = subprocess.run(
self.command("-A", "-t", "-q", "-c", statement),
check=False,
capture_output=True,
text=True,
errors="replace",
)
return completed.returncode != 0
@pytest.fixture(scope="module")
def pg14_database() -> PgDatabase:
assert PG14_BIN is not None
with tempfile.TemporaryDirectory(
prefix="rectification-pg14-",
dir="/private/tmp",
) as temporary_root:
root = Path(temporary_root)
data_dir = root / "data"
socket_dir = root / "socket"
socket_dir.mkdir()
port = 55439
init = subprocess.run(
[
str(PG14_BIN / "initdb"),
"-D",
str(data_dir),
"-A",
"trust",
"-U",
"postgres",
"--no-locale",
"-E",
"UTF8",
],
check=False,
capture_output=True,
text=True,
)
assert init.returncode == 0, f"{init.stdout}\n{init.stderr}"
start = subprocess.run(
[
str(PG14_BIN / "pg_ctl"),
"-D",
str(data_dir),
"-l",
str(root / "postgres.log"),
"-o",
f"-F -k {socket_dir} -p {port} -c listen_addresses=''",
"-w",
"start",
],
check=False,
capture_output=True,
text=True,
)
assert start.returncode == 0, f"{start.stdout}\n{start.stderr}"
database = PgDatabase(PG14_BIN, socket_dir, port)
try:
database.sql(
"""
create role anon nologin;
create role authenticated nologin;
create role service_role nologin;
create schema auth;
create table auth.users (
id uuid primary key,
email text
);
create function auth.uid() returns uuid
language sql stable set search_path = ''
as 'select null::uuid';
create function auth.jwt() returns jsonb
language sql stable set search_path = ''
as 'select ''{}''::jsonb';
"""
)
for migration in sorted(MIGRATIONS.glob("*.sql")):
applied = subprocess.run(
database.command("-q", "-f", str(migration)),
check=False,
capture_output=True,
text=True,
)
assert applied.returncode == 0, f"{migration.name}:\n{applied.stderr}"
yield database
finally:
subprocess.run(
[str(PG14_BIN / "pg_ctl"), "-D", str(data_dir), "-m", "fast", "-w", "stop"],
check=False,
capture_output=True,
text=True,
)
def _jsonb(value: object) -> str:
encoded = json.dumps(value, ensure_ascii=False, separators=(",", ":")).replace("'", "''")
return f"'{encoded}'::jsonb"
def _text(value: str) -> str:
return "'" + value.replace("'", "''") + "'"
def _create_user(database: PgDatabase, user_id: str, credits: int = 20) -> None:
database.sql(
f"""
insert into auth.users (id, email)
values ('{user_id}'::uuid, 'synthetic@example.invalid');
update public.profiles
set credits = {credits},
birth_date = '1990-01-01',
active_birth_time = '04:58',
birth_time = '04:58',
country_code = 'TW',
province_code = 'TPE',
city_code = 'TPE-CITY',
district_code = 'DAAN',
latitude = 25.0268,
longitude = 121.5434,
timezone_offset = 8
where id = '{user_id}'::uuid;
"""
)
def _reserve(database: PgDatabase, user_id: str, action_id: str, price: int = 3) -> dict[str, object]:
result = database.sql(
f"""
select row_to_json(reservation)::text
from public.reserve_conversational_rectification_fee(
'{user_id}'::uuid,
'{action_id}'::uuid,
0,
'{action_id}'::uuid,
{price}
) reservation;
"""
)
return json.loads(result)
def _valid_declared_birth_input() -> dict[str, object]:
return {
"birthDate": "1990-01-01",
"reportedTime": "05:20",
"source": "approximate",
"birthTimeClue": "synthetic dawn clue",
"uncertaintyBeforeMinutes": 30,
"uncertaintyAfterMinutes": 30,
"birthplace": {
"countryCode": "TW",
"provinceCode": "TPE",
"cityCode": "TPE-CITY",
"districtCode": "DAAN",
"latitude": 25.0268,
"longitude": 121.5434,
"timezoneOffset": 8,
},
}
def _valid_turn(case_id: str) -> dict[str, object]:
return {
"caseId": case_id,
"journeyProtocol": "conversational-evidence-v3",
"status": "active",
"turnVersion": 0,
"narrative": "Synthetic public narrative.",
"candidate": {
"status": "pending_validation",
"representativeTime": "05:21",
"rangeStart": "05:10",
"rangeEnd": "05:30",
},
"technicalReceipt": {
"calculationVersion": "rectification-v3.1",
"stableLayers": ["D1"],
"sensitiveLayers": ["D9"],
"candidateDifferenceRefs": ["difference-1"],
},
"evidenceRequest": {
"domains": ["career", "relocation"],
"datePrecision": "month_preferred",
"freeTextAllowed": True,
},
"evidenceRecap": [],
"actions": ["answer", "pause", "abandon"],
"pendingConsultationQuestion": None,
}
def _valid_private_candidate() -> dict[str, object]:
return {
"resultId": "00000000-0000-4000-8000-000000000991",
"representativeTime": "05:21",
"rangeStart": "05:10",
"rangeEnd": "05:30",
"calculationVersion": "rectification-v3.1",
"candidateWeights": [0.6, 0.4],
"candidateModelRefs": ["model-1"],
"suggestedDomains": ["career", "relocation"],
}
def _create_case(
database: PgDatabase,
user_id: str,
action_id: str,
declared_birth_input: dict[str, object],
private_candidate: dict[str, object] | None = None,
) -> str:
return database.sql(
f"""
select public.create_conversational_rectification_case(
'{user_id}'::uuid,
'{action_id}'::uuid,
0,
'{action_id}'::uuid,
null,
null,
{_jsonb(declared_birth_input)},
{_jsonb(_valid_turn(action_id))},
{_jsonb({"modelId": "synthetic-model", "schemaValidated": True})},
{_jsonb(private_candidate or _valid_private_candidate())}
)::text;
"""
)
def _complete(database: PgDatabase, user_id: str, action_id: str, version: int = 0) -> dict[str, object]:
result = database.sql(
f"""
select row_to_json(completion)::text
from public.complete_conversational_rectification_fee(
'{user_id}'::uuid,
'{action_id}'::uuid,
{version},
'{action_id}'::uuid
) completion;
"""
)
return json.loads(result)
def _save_statement(
user_id: str,
case_id: str,
expected_version: int,
action_id: str,
evidence: list[dict[str, object]],
*,
turn: dict[str, object] | None = None,
validation_receipt: dict[str, object] | None = None,
private_candidate: dict[str, object] | None = None,
command_fingerprint: str | None = None,
) -> str:
next_turn = turn or {
**_valid_turn(case_id),
"turnVersion": expected_version + 1,
}
return f"""
select public.save_conversational_rectification_turn(
'{user_id}'::uuid,
'{case_id}'::uuid,
{expected_version},
'{action_id}'::uuid,
{_jsonb(next_turn)},
{_jsonb(evidence)},
{_jsonb(validation_receipt or {"modelId": "synthetic-model", "schemaValidated": True})},
{_jsonb(private_candidate or _valid_private_candidate())},
{"null" if command_fingerprint is None else _text(command_fingerprint)}
)::text;
"""
def _create_legacy_case(database: PgDatabase, user_id: str, legacy_case_id: str) -> None:
database.sql(
f"""
insert into public.birth_time_rectification_cases (
id, user_id, status, reported_date, reported_time, source,
uncertainty_before_minutes, uncertainty_after_minutes, journey_protocol
) values (
'{legacy_case_id}'::uuid, '{user_id}'::uuid, 'rectifying',
'1990-01-01', '05:20', 'legacy_import', 0, 0, 'legacy-guided-v1'
);
"""
)
def test_committed_pre_case_reservation_is_recovered_by_a_fresh_account_action(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000000901"
lost_action = "00000000-0000-4000-8000-000000000902"
fresh_action = "00000000-0000-4000-8000-000000000903"
_create_user(pg14_database, user_id, credits=10)
first = _reserve(pg14_database, user_id, lost_action)
assert first == {
"success": True,
"credits": 7,
"billing_state": "reserved",
"error_code": None,
}
assert pg14_database.sql(
f"select public.load_conversational_rectification_case('{user_id}'::uuid, null) is null"
) == "t"
recovered = _reserve(pg14_database, user_id, fresh_action)
assert recovered == first
accounting = json.loads(pg14_database.sql(
f"""
select jsonb_build_object(
'credits', profile.credits,
'oldState', old_billing.state,
'newState', new_billing.state,
'reserveCount', count(*) filter (where tx.transaction_type = 'reserve'),
'refundCount', count(*) filter (where tx.transaction_type = 'refund')
)::text
from public.profiles profile
join public.birth_time_rectification_billing old_billing
on old_billing.case_id = '{lost_action}'::uuid
join public.birth_time_rectification_billing new_billing
on new_billing.case_id = '{fresh_action}'::uuid
left join public.credit_transactions tx on tx.user_id = profile.id
where profile.id = '{user_id}'::uuid
group by profile.credits, old_billing.state, new_billing.state;
"""
))
assert accounting == {
"credits": 7,
"oldState": "released",
"newState": "reserved",
"reserveCount": 2,
"refundCount": 1,
}
assert _reserve(pg14_database, user_id, lost_action) == first
assert pg14_database.sql(
f"select count(*) from public.credit_transactions where user_id = '{user_id}'::uuid"
) == "3"
@pytest.mark.parametrize(
("user_id", "action_id", "declared"),
[
(
"00000000-0000-4000-8000-000000000911",
"00000000-0000-4000-8000-000000000912",
{
"birthDate": "1990-01-01",
"reportedTime": "05:20",
"source": "approximate",
"birthTimeClue": None,
"uncertaintyBeforeMinutes": 30,
"uncertaintyAfterMinutes": 30,
},
),
(
"00000000-0000-4000-8000-000000000921",
"00000000-0000-4000-8000-000000000922",
{**_valid_declared_birth_input(), "unknownField": True},
),
(
"00000000-0000-4000-8000-000000000931",
"00000000-0000-4000-8000-000000000932",
{
**_valid_declared_birth_input(),
"uncertaintyAfterMinutes": 60,
"birthplace": {**_valid_declared_birth_input()["birthplace"], "latitude": 91},
},
),
],
)
def test_invalid_declared_birth_input_is_rejected_before_case_persistence(
pg14_database: PgDatabase,
user_id: str,
action_id: str,
declared: dict[str, object],
) -> None:
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, action_id)
assert pg14_database.rejects(
f"""
select public.create_conversational_rectification_case(
'{user_id}'::uuid, '{action_id}'::uuid, 0, '{action_id}'::uuid,
null, null, {_jsonb(declared)}, {_jsonb(_valid_turn(action_id))},
{_jsonb({"modelId": "synthetic-model", "schemaValidated": True})},
{_jsonb(_valid_private_candidate())}
);
"""
)
assert pg14_database.sql(
f"select count(*) from public.birth_time_rectification_cases where id = '{action_id}'::uuid"
) == "0"
def test_valid_declared_birth_input_round_trips_across_account_load(pg14_database: PgDatabase) -> None:
user_id = "00000000-0000-4000-8000-000000000941"
action_id = "00000000-0000-4000-8000-000000000942"
declared = _valid_declared_birth_input()
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, action_id)
_create_case(pg14_database, user_id, action_id, declared)
loaded = json.loads(pg14_database.sql(
f"select public.load_conversational_rectification_case('{user_id}'::uuid, null)::text"
))
assert loaded["declared_birth_input"] == declared
def test_historical_receipt_replays_exact_public_response_after_later_turns(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000000943"
case_id = "00000000-0000-4000-8000-000000000944"
first_action = "00000000-0000-4000-8000-000000000945"
later_actions = (
"00000000-0000-4000-8000-000000000946",
"00000000-0000-4000-8000-000000000947",
)
first_fingerprint = "a" * 64
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, case_id)
_create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
_complete(pg14_database, user_id, case_id)
original = json.loads(pg14_database.sql(_save_statement(
user_id,
case_id,
0,
first_action,
[],
command_fingerprint=first_fingerprint,
)))
for version, action_id in enumerate(later_actions, start=1):
pg14_database.sql(_save_statement(
user_id,
case_id,
version,
action_id,
[],
command_fingerprint=str(version) * 64,
))
replayed = json.loads(pg14_database.sql(
f"""
select public.replay_conversational_rectification_action(
'{user_id}'::uuid, '{case_id}'::uuid, 0, '{first_action}'::uuid,
'save_turn', '{first_fingerprint}'
)::text;
"""
))
assert replayed == original
assert replayed["turn_version"] == 1
assert replayed["latest_turn"]["turnVersion"] == 1
assert pg14_database.rejects(
f"""
select public.replay_conversational_rectification_action(
'{user_id}'::uuid, '{case_id}'::uuid, 0, '{first_action}'::uuid,
'save_turn', '{'b' * 64}'
);
"""
)
privileges = json.loads(pg14_database.sql(
"""
select pg_catalog.jsonb_build_object(
'anon', pg_catalog.has_function_privilege(
'anon',
'public.replay_conversational_rectification_action(uuid,uuid,bigint,uuid,text,text)',
'EXECUTE'
),
'authenticated', pg_catalog.has_function_privilege(
'authenticated',
'public.replay_conversational_rectification_action(uuid,uuid,bigint,uuid,text,text)',
'EXECUTE'
),
'serviceRole', pg_catalog.has_function_privilege(
'service_role',
'public.replay_conversational_rectification_action(uuid,uuid,bigint,uuid,text,text)',
'EXECUTE'
)
)::text;
"""
))
assert privileges == {"anon": False, "authenticated": False, "serviceRole": True}
def test_overlapping_mutation_uses_command_identity_while_legacy_uses_full_request(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000001041"
case_id = "00000000-0000-4000-8000-000000001042"
action_id = "00000000-0000-4000-8000-000000001043"
fingerprint = "c" * 64
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, case_id)
_create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
_complete(pg14_database, user_id, case_id)
original = json.loads(pg14_database.sql(_save_statement(
user_id,
case_id,
0,
action_id,
[],
command_fingerprint=fingerprint,
)))
alternate_turn = {
**_valid_turn(case_id),
"turnVersion": 1,
"narrative": "A different valid narrative derived by an overlapping request.",
}
replayed = json.loads(pg14_database.sql(_save_statement(
user_id,
case_id,
0,
action_id,
[],
turn=alternate_turn,
validation_receipt={"modelId": "alternate-model", "schemaValidated": True},
command_fingerprint=fingerprint,
)))
assert replayed == original
assert pg14_database.rejects(_save_statement(
user_id,
case_id,
0,
action_id,
[],
turn=alternate_turn,
command_fingerprint="d" * 64,
))
legacy_user_id = "00000000-0000-4000-8000-000000001051"
legacy_case_id = "00000000-0000-4000-8000-000000001052"
legacy_action_id = "00000000-0000-4000-8000-000000001053"
_create_user(pg14_database, legacy_user_id)
_reserve(pg14_database, legacy_user_id, legacy_case_id)
_create_case(
pg14_database,
legacy_user_id,
legacy_case_id,
_valid_declared_birth_input(),
)
_complete(pg14_database, legacy_user_id, legacy_case_id)
legacy_statement = _save_statement(
legacy_user_id,
legacy_case_id,
0,
legacy_action_id,
[],
)
legacy_original = json.loads(pg14_database.sql(legacy_statement))
assert json.loads(pg14_database.sql(legacy_statement)) == legacy_original
assert pg14_database.rejects(_save_statement(
legacy_user_id,
legacy_case_id,
0,
legacy_action_id,
[],
turn={
**_valid_turn(legacy_case_id),
"turnVersion": 1,
"narrative": "A different legacy-derived narrative must remain a conflict.",
},
))
def test_database_rejects_oversize_or_unknown_durable_json(pg14_database: PgDatabase) -> None:
user_id = "00000000-0000-4000-8000-000000000951"
action_id = "00000000-0000-4000-8000-000000000952"
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, action_id)
_create_case(pg14_database, user_id, action_id, _valid_declared_birth_input())
base_turn = _valid_turn(action_id)
boundary_turn = {
**base_turn,
"turnVersion": 1,
"technicalReceipt": {
**base_turn["technicalReceipt"],
"calculationVersion": "v" * 80,
},
"evidenceRecap": [
{
"id": "00000000-0000-4000-8000-000000000953",
"summary": "" * 1_000,
"dateLabel": "d" * 80,
}
],
}
pg14_database.sql(
f"""
begin;
insert into public.birth_time_rectification_turns (
case_id, turn_version, narrative, candidate, technical_receipt,
evidence_request, evidence_recap, actions, output_validation_receipt
) values (
'{action_id}'::uuid, 1, {_text(str(boundary_turn['narrative']))},
{_jsonb(boundary_turn['candidate'])}, {_jsonb(boundary_turn['technicalReceipt'])},
{_jsonb(boundary_turn['evidenceRequest'])}, {_jsonb(boundary_turn['evidenceRecap'])},
{_jsonb(boundary_turn['actions'])},
{_jsonb({'modelId': 'm' * 120, 'schemaValidated': True})}
);
update public.birth_time_rectification_cases
set candidate_result = {_jsonb({
**_valid_private_candidate(),
'candidateWeights': [0.5] * 1_440,
})}
where id = '{action_id}'::uuid;
rollback;
"""
)
invalid_turns = [
{**base_turn, "turnVersion": 1, "candidate": {**base_turn["candidate"], "extra": True}},
{
**base_turn,
"turnVersion": 1,
"technicalReceipt": {
**base_turn["technicalReceipt"],
"calculationVersion": "v" * 81,
},
},
{
**base_turn,
"turnVersion": 1,
"technicalReceipt": {
**base_turn["technicalReceipt"],
"calculationVersion": "v" * 80 + " ",
},
},
{
**base_turn,
"turnVersion": 1,
"evidenceRecap": [{
"id": "00000000-0000-4000-8000-000000000953",
"summary": "" * 1_001,
"dateLabel": "2020-01",
}],
},
]
for turn in invalid_turns:
assert pg14_database.rejects(
f"""
begin;
insert into public.birth_time_rectification_turns (
case_id, turn_version, narrative, candidate, technical_receipt,
evidence_request, evidence_recap, actions, output_validation_receipt
) values (
'{action_id}'::uuid, 1, {_text(str(turn['narrative']))},
{_jsonb(turn['candidate'])}, {_jsonb(turn['technicalReceipt'])},
{_jsonb(turn['evidenceRequest'])}, {_jsonb(turn['evidenceRecap'])},
{_jsonb(turn['actions'])},
{_jsonb({"modelId": "synthetic-model", "schemaValidated": True})}
);
rollback;
"""
)
assert pg14_database.rejects(
f"""
update public.birth_time_rectification_cases
set candidate_result = {_jsonb({
**_valid_private_candidate(),
"candidateWeights": [0.5] * 1_441,
})}
where id = '{action_id}'::uuid;
"""
)
assert pg14_database.rejects(
f"""
begin;
insert into public.birth_time_rectification_turns (
case_id, turn_version, narrative, candidate, technical_receipt,
evidence_request, evidence_recap, actions, output_validation_receipt
) values (
'{action_id}'::uuid, 1, 'Synthetic narrative',
{_jsonb(base_turn['candidate'])}, {_jsonb(base_turn['technicalReceipt'])},
{_jsonb(base_turn['evidenceRequest'])}, '[]'::jsonb,
{_jsonb(base_turn['actions'])},
{_jsonb({"modelId": "m" * 121, "schemaValidated": True})}
);
rollback;
"""
)
assert pg14_database.sql(
f"""
select public.conversational_rectification_valid_action_response(
{_jsonb({
"success": True,
"credits": 7,
"billing_state": "reserved",
"error_code": None,
"extra": "x" * 70_000,
})},
'reserve_fee'
)::text;
"""
) == "false"
assert pg14_database.rejects(
f"""
update public.birth_time_rectification_action_receipts
set request = request - 'caseId'
where user_id = '{user_id}'::uuid and action_kind = 'reserve_fee';
"""
)
assert pg14_database.rejects(
f"""
update public.birth_time_rectification_action_receipts
set response = pg_catalog.jsonb_set(
response, '{{error_code}}', {_jsonb('e' * 81)}, true
)
where user_id = '{user_id}'::uuid and action_kind = 'reserve_fee';
"""
)
def test_postgres_uses_the_shared_stable_numeric_boundary_vectors(
pg14_database: PgDatabase,
) -> None:
stable_vector = {
"zero": 0,
"minFraction": 0.000001,
"ieeeRoundingBoundary": 1.000001,
"decimal": 0.123456,
"maxSafe": 9_007_199_254_740_991,
}
numeric_result = pg14_database.sql(
f"""
select pg_catalog.jsonb_build_object(
'valid', public.conversational_rectification_numbers_are_stable({_jsonb(stable_vector)}),
'bytes', pg_catalog.octet_length(({_jsonb(stable_vector)})::text)
)::text;
"""
)
assert json.loads(numeric_result) == {"valid": True, "bytes": 120}
for invalid in (
{"nested": [{"score": 1e-7}]},
{"nested": [{"score": 1e-100}]},
{"nested": [{"score": 0.0000012}]},
{"nested": [{"score": 0.1234567}]},
{"nested": [{"score": 1_000_000.000001}]},
{"nested": [{"score": 9_007_199_254_740_992}]},
):
assert pg14_database.sql(
"select public.conversational_rectification_numbers_are_stable("
f"{_jsonb(invalid)})::text"
) == "false"
assert pg14_database.sql(
"select public.conversational_rectification_valid_private_candidate("
f"{_jsonb({**_valid_private_candidate(), 'candidateWeights': [1e-100]})})::text"
) == "false"
unstable_declared_input = {
**_valid_declared_birth_input(),
"birthplace": {
**_valid_declared_birth_input()["birthplace"],
"latitude": 1e-100,
},
}
assert pg14_database.sql(
"select public.conversational_rectification_valid_declared_birth_input("
f"{_jsonb(unstable_declared_input)})::text"
) == "false"
def test_json_text_validators_align_types_uuid_unicode_and_utf16(
pg14_database: PgDatabase,
) -> None:
case_id = "00000000-0000-4000-8000-000000000960"
turn = _valid_turn(case_id)
private_candidate = _valid_private_candidate()
unicode_whitespace = "\u00a0\u2007\ufeff"
canonical_uuid = "a9890e09-d535-46f0-9a36-86017515a5a1"
compact_uuid = canonical_uuid.replace("-", "")
uuid_result = json.loads(pg14_database.sql(
f"""
select pg_catalog.jsonb_build_object(
'lower', public.conversational_rectification_valid_uuid_text({_text(canonical_uuid)}),
'upper', public.conversational_rectification_valid_uuid_text({_text(canonical_uuid.upper())}),
'compact', public.conversational_rectification_valid_uuid_text({_text(compact_uuid)}),
'braced', public.conversational_rectification_valid_uuid_text({_text('{' + canonical_uuid + '}')})
)::text;
"""
))
assert uuid_result == {"lower": True, "upper": True, "compact": False, "braced": False}
invalid_turns = (
{**turn, "candidate": {**turn["candidate"], "status": None}},
{
**turn,
"technicalReceipt": {**turn["technicalReceipt"], "stableLayers": [None]},
},
{
**turn,
"technicalReceipt": {**turn["technicalReceipt"], "sensitiveLayers": [42]},
},
{
**turn,
"evidenceRequest": {**turn["evidenceRequest"], "domains": ["career", None]},
},
{
**turn,
"evidenceRequest": {**turn["evidenceRequest"], "datePrecision": None},
},
{**turn, "actions": [None]},
{**turn, "status": None},
{**turn, "narrative": unicode_whitespace},
{
**turn,
"evidenceRecap": [{
"id": compact_uuid,
"summary": "summary",
"dateLabel": "2020-01",
}],
},
)
for invalid in invalid_turns:
assert pg14_database.sql(
"select public.conversational_rectification_valid_public_turn("
f"{_jsonb(invalid)})::text"
) == "false"
invalid_private_candidates = (
{**private_candidate, "resultId": compact_uuid},
{**private_candidate, "suggestedDomains": ["career", None]},
{**private_candidate, "d1Stability": None},
{**private_candidate, "calculationVersion": unicode_whitespace},
{
**private_candidate,
"workingState": {"phase": "initial", "iteration": 0, "notes": [unicode_whitespace]},
},
{
**private_candidate,
"futureWindows": [{
"label": unicode_whitespace,
"startDate": "2020-01-01",
"endDate": "2020-01-02",
"scoreable": False,
}],
},
)
for invalid in invalid_private_candidates:
assert pg14_database.sql(
"select public.conversational_rectification_valid_private_candidate("
f"{_jsonb(invalid)})::text"
) == "false"
invalid_declared = {
**_valid_declared_birth_input(),
"birthTimeClue": unicode_whitespace,
"birthplace": {
**_valid_declared_birth_input()["birthplace"],
"city": unicode_whitespace,
},
}
assert pg14_database.sql(
"select public.conversational_rectification_valid_declared_birth_input("
f"{_jsonb(invalid_declared)})::text"
) == "false"
assert pg14_database.sql(
"select public.conversational_rectification_valid_validation_receipt("
f"{_jsonb({'modelId': unicode_whitespace, 'schemaValidated': True})})::text"
) == "false"
assert pg14_database.sql(
"select public.conversational_rectification_valid_action_response("
f"{_jsonb({'success': False, 'credits': 7, 'billing_state': None, 'error_code': unicode_whitespace})}, "
"'reserve_fee')::text"
) == "false"
assert pg14_database.sql(
"select public.conversational_rectification_text_utf16_length("
f"{_text('😀' * 40)})::text"
) == "80"
for model_id, expected in (("😀" * 60, "true"), ("😀" * 61, "false")):
assert pg14_database.sql(
"select public.conversational_rectification_valid_validation_receipt("
f"{_jsonb({'modelId': model_id, 'schemaValidated': True})})::text"
) == expected
def test_save_rejects_invalid_evidence_without_discarding_or_coercing_fields(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000000961"
case_id = "00000000-0000-4000-8000-000000000962"
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, case_id)
_create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
_complete(pg14_database, user_id, case_id)
evidence = {
"id": "00000000-0000-4000-8000-000000000963",
"rawText": "2019 年 7 月换工作",
"domain": "career",
"eventSummary": "换工作",
"dateValue": "2019-07",
"datePrecision": "month",
"extractionStatus": "clear",
"scoreable": True,
}
invalid_values = (
{**evidence, "unknown": "must not be discarded"},
{**evidence, "id": "not-a-uuid"},
{**evidence, "id": "00000000000040008000000000000001"},
{**evidence, "rawText": 42},
{**evidence, "domain": "finance"},
{**evidence, "eventSummary": " \t "},
{**evidence, "eventSummary": "\u00a0\u2007\ufeff"},
{**evidence, "dateValue": " \t "},
{**evidence, "datePrecision": "quarter"},
{**evidence, "extractionStatus": "guessed"},
{**evidence, "scoreable": None},
{**evidence, "scoreable": "true"},
)
for index, invalid in enumerate(invalid_values):
action_id = f"00000000-0000-4000-8000-{970 + index:012d}"
assert pg14_database.rejects(
_save_statement(user_id, case_id, 0, action_id, [invalid])
)
assert pg14_database.sql(
f"select count(*) from public.birth_time_rectification_event_evidence where case_id = '{case_id}'::uuid"
) == "0"
valid_without_optional_scoreable = {key: value for key, value in evidence.items() if key != "scoreable"}
pg14_database.sql(
_save_statement(
user_id,
case_id,
0,
"00000000-0000-4000-8000-000000000999",
[valid_without_optional_scoreable],
)
)
assert pg14_database.sql(
f"select scoreable::text from public.birth_time_rectification_event_evidence where case_id = '{case_id}'::uuid"
) == "false"
def test_correction_lineage_is_append_only_owner_scoped_and_rejects_retired_targets(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000001201"
case_id = "00000000-0000-4000-8000-000000001202"
first_action = "00000000-0000-4000-8000-000000001203"
second_action = "00000000-0000-4000-8000-000000001204"
third_action = "00000000-0000-4000-8000-000000001205"
rejected_action = "00000000-0000-4000-8000-000000001206"
missing_id = "00000000-0000-4000-8000-000000001207"
first_id = "00000000-0000-4000-8000-000000001211"
second_id = "00000000-0000-4000-8000-000000001212"
third_id = "00000000-0000-4000-8000-000000001213"
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, case_id)
_create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
_complete(pg14_database, user_id, case_id)
first = {
"id": first_id,
"rawText": "2019 年 7 月开始第一份工作",
"domain": "career",
"eventSummary": "开始第一份工作",
"dateValue": "2019-07",
"datePrecision": "month",
"extractionStatus": "clear",
"scoreable": True,
}
pg14_database.sql(_save_statement(
user_id,
case_id,
0,
first_action,
[first],
turn={
**_valid_turn(case_id),
"turnVersion": 1,
"evidenceRecap": [{
"id": first_id,
"summary": "开始第一份工作",
"dateLabel": "2019-07",
"isCorrection": False,
}],
},
))
loaded_first = json.loads(pg14_database.sql(
f"select public.load_conversational_rectification_case('{user_id}'::uuid, '{case_id}'::uuid)::text"
))
assert loaded_first["event_evidence"][0]["correctsEvidenceIds"] == []
second = {
"id": second_id,
"rawText": "更正:2020 年 11 月离职",
"domain": "career",
"eventSummary": "离职",
"dateValue": "2020-11",
"datePrecision": "month",
"extractionStatus": "corrected",
"scoreable": True,
"correctsEvidenceIds": [first_id],
}
pg14_database.sql(_save_statement(
user_id,
case_id,
1,
second_action,
[second],
turn={
**_valid_turn(case_id),
"turnVersion": 2,
"evidenceRecap": [{
"id": second_id,
"summary": "离职",
"dateLabel": "2020-11",
"isCorrection": True,
}],
},
))
for invalid_target in (missing_id, first_id):
rejected = {
**second,
"id": third_id,
"correctsEvidenceIds": [invalid_target],
}
assert pg14_database.rejects(_save_statement(
user_id,
case_id,
2,
rejected_action,
[rejected],
))
assert pg14_database.sql(
f"select turn_version::text from public.birth_time_rectification_cases where id = '{case_id}'::uuid"
) == "2"
assert pg14_database.sql(
f"select count(*)::text from public.birth_time_rectification_event_evidence where case_id = '{case_id}'::uuid"
) == "2"
third = {
**second,
"id": third_id,
"rawText": "更正:2021 年 2 月入职",
"eventSummary": "入职",
"dateValue": "2021-02",
"correctsEvidenceIds": [second_id],
}
pg14_database.sql(_save_statement(
user_id,
case_id,
2,
third_action,
[third],
turn={
**_valid_turn(case_id),
"turnVersion": 3,
"evidenceRecap": [{
"id": third_id,
"summary": "入职",
"dateLabel": "2021-02",
"isCorrection": True,
}],
},
))
loaded = json.loads(pg14_database.sql(
f"select public.load_conversational_rectification_case('{user_id}'::uuid, '{case_id}'::uuid)::text"
))
assert len(loaded["event_evidence"]) == 3
assert loaded["event_evidence"][1]["correctsEvidenceIds"] == [first_id]
assert loaded["event_evidence"][2]["correctsEvidenceIds"] == [second_id]
assert loaded["latest_turn"]["evidenceRecap"] == [{
"id": third_id,
"summary": "入职",
"dateLabel": "2021-02",
"isCorrection": True,
}]
def test_duplicate_correction_target_fails_atomically_without_advancing_any_durable_state(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000001401"
case_id = "00000000-0000-4000-8000-000000001402"
first_action = "00000000-0000-4000-8000-000000001403"
rejected_action = "00000000-0000-4000-8000-000000001404"
first_id = "aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaa1411"
replacement_a = "00000000-0000-4000-8000-000000001412"
replacement_b = "00000000-0000-4000-8000-000000001413"
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, case_id)
_create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
_complete(pg14_database, user_id, case_id)
first = {
"id": first_id,
"rawText": "2019 年 7 月开始第一份工作",
"domain": "career",
"eventSummary": "开始第一份工作",
"dateValue": "2019-07",
"datePrecision": "month",
"extractionStatus": "clear",
"scoreable": True,
}
pg14_database.sql(_save_statement(user_id, case_id, 0, first_action, [first]))
def durable_counts() -> dict[str, int]:
return json.loads(pg14_database.sql(
f"""
select pg_catalog.jsonb_build_object(
'version', rectification.turn_version,
'turns', (select pg_catalog.count(*) from public.birth_time_rectification_turns turn where turn.case_id = rectification.id),
'evidence', (select pg_catalog.count(*) from public.birth_time_rectification_event_evidence evidence where evidence.case_id = rectification.id),
'receipts', (select pg_catalog.count(*) from public.birth_time_rectification_action_receipts receipt where receipt.case_id = rectification.id)
)::text
from public.birth_time_rectification_cases rectification
where rectification.id = '{case_id}'::uuid;
"""
))
before = durable_counts()
duplicate_replacements = [
{
"id": replacement_a,
"rawText": "更正:2020 年 11 月离职",
"domain": "career",
"eventSummary": "离职",
"dateValue": "2020-11",
"datePrecision": "month",
"extractionStatus": "corrected",
"scoreable": True,
"correctsEvidenceIds": [first_id.upper()],
},
{
"id": replacement_b,
"rawText": "更正:2021 年 2 月入职",
"domain": "career",
"eventSummary": "入职",
"dateValue": "2021-02",
"datePrecision": "month",
"extractionStatus": "corrected",
"scoreable": True,
"correctsEvidenceIds": [first_id],
},
]
assert pg14_database.rejects(_save_statement(
user_id,
case_id,
1,
rejected_action,
duplicate_replacements,
))
assert durable_counts() == before
def test_concurrent_corrections_of_one_tip_leave_exactly_one_winner(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000001421"
case_id = "00000000-0000-4000-8000-000000001422"
first_action = "00000000-0000-4000-8000-000000001423"
action_a = "00000000-0000-4000-8000-000000001424"
action_b = "00000000-0000-4000-8000-000000001425"
first_id = "00000000-0000-4000-8000-000000001431"
replacement_a = "00000000-0000-4000-8000-000000001432"
replacement_b = "00000000-0000-4000-8000-000000001433"
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, case_id)
_create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
_complete(pg14_database, user_id, case_id)
first = {
"id": first_id,
"rawText": "2019 年 7 月开始第一份工作",
"domain": "career",
"eventSummary": "开始第一份工作",
"dateValue": "2019-07",
"datePrecision": "month",
"extractionStatus": "clear",
"scoreable": True,
}
pg14_database.sql(_save_statement(user_id, case_id, 0, first_action, [first]))
statements = []
for action_id, evidence_id, date_value, summary in (
(action_a, replacement_a, "2020-11", "离职"),
(action_b, replacement_b, "2021-02", "入职"),
):
replacement = {
"id": evidence_id,
"rawText": f"更正:{date_value} {summary}",
"domain": "career",
"eventSummary": summary,
"dateValue": date_value,
"datePrecision": "month",
"extractionStatus": "corrected",
"scoreable": True,
"correctsEvidenceIds": [first_id],
}
statements.append(_save_statement(
user_id,
case_id,
1,
action_id,
[replacement],
))
processes = [subprocess.Popen(
pg14_database.command("-A", "-t", "-q", "-c", statement),
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
) for statement in statements]
results = [process.communicate(timeout=20) for process in processes]
return_codes = [process.returncode for process in processes]
assert return_codes.count(0) == 1, results
assert sum(code != 0 for code in return_codes) == 1, results
durable = json.loads(pg14_database.sql(
f"""
select pg_catalog.jsonb_build_object(
'version', rectification.turn_version,
'turns', (select pg_catalog.count(*) from public.birth_time_rectification_turns turn where turn.case_id = rectification.id),
'evidence', (select pg_catalog.count(*) from public.birth_time_rectification_event_evidence evidence where evidence.case_id = rectification.id),
'winningReceipts', (select pg_catalog.count(*) from public.birth_time_rectification_action_receipts receipt where receipt.case_id = rectification.id and receipt.action_id in ('{action_a}'::uuid, '{action_b}'::uuid))
)::text
from public.birth_time_rectification_cases rectification
where rectification.id = '{case_id}'::uuid;
"""
))
assert durable == {
"version": 2,
"turns": 3,
"evidence": 2,
"winningReceipts": 1,
}
def test_save_rejects_cumulative_evidence_count_before_inserting(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000000981"
case_id = "00000000-0000-4000-8000-000000000982"
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, case_id)
_create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
_complete(pg14_database, user_id, case_id)
pg14_database.sql(
f"""
insert into public.birth_time_rectification_event_evidence (
id, case_id, source_turn_id, raw_text, domain, event_summary,
date_value, date_precision, extraction_status, scoreable
)
select pg_catalog.md5('evidence-count-' || series)::uuid,
'{case_id}'::uuid, turn.id, 'event', 'career', 'summary',
null, 'unknown', 'clear', false
from pg_catalog.generate_series(1, 2000) series
cross join public.birth_time_rectification_turns turn
where turn.case_id = '{case_id}'::uuid and turn.turn_version = 0;
"""
)
extra = {
"id": "00000000-0000-4000-8000-000000000983",
"rawText": "one more",
"domain": "career",
"eventSummary": "one more",
"dateValue": None,
"datePrecision": "unknown",
"extractionStatus": "clear",
"scoreable": False,
}
assert pg14_database.rejects(
_save_statement(
user_id,
case_id,
0,
"00000000-0000-4000-8000-000000000984",
[extra],
)
)
assert pg14_database.sql(
f"select count(*) from public.birth_time_rectification_event_evidence where case_id = '{case_id}'::uuid"
) == "2000"
assert pg14_database.sql(
f"select count(*) from public.birth_time_rectification_turns where case_id = '{case_id}'::uuid"
) == "1"
def test_save_rejects_cumulative_validation_receipt_count_before_inserting(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000000985"
case_id = "00000000-0000-4000-8000-000000000986"
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, case_id)
_create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
_complete(pg14_database, user_id, case_id)
base_turn = _valid_turn(case_id)
last_turn = {**base_turn, "turnVersion": 1999}
pg14_database.sql(
f"""
insert into public.birth_time_rectification_turns (
case_id, turn_version, narrative, candidate, technical_receipt,
evidence_request, evidence_recap, actions, output_validation_receipt
)
select '{case_id}'::uuid, series, 'seeded turn',
{_jsonb(base_turn['candidate'])}, {_jsonb(base_turn['technicalReceipt'])},
{_jsonb(base_turn['evidenceRequest'])}, '[]'::jsonb,
{_jsonb(base_turn['actions'])},
{_jsonb({'modelId': 'synthetic-model', 'schemaValidated': True})}
from pg_catalog.generate_series(1, 1999) series;
update public.birth_time_rectification_cases
set turn_version = 1999,
turn_state = {_jsonb(last_turn)},
journey_snapshot = {_jsonb(last_turn)}
where id = '{case_id}'::uuid;
"""
)
assert pg14_database.rejects(
_save_statement(
user_id,
case_id,
1999,
"00000000-0000-4000-8000-000000000987",
[],
)
)
assert pg14_database.sql(
f"select count(*) from public.birth_time_rectification_turns where case_id = '{case_id}'::uuid"
) == "2000"
def test_save_rejects_a_projected_load_envelope_over_four_mib(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000000988"
case_id = "00000000-0000-4000-8000-000000000989"
_create_user(pg14_database, user_id)
_reserve(pg14_database, user_id, case_id)
_create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
_complete(pg14_database, user_id, case_id)
pg14_database.sql(
f"""
insert into public.birth_time_rectification_event_evidence (
id, case_id, source_turn_id, raw_text, domain, event_summary,
date_value, date_precision, extraction_status, scoreable
)
select pg_catalog.md5('evidence-bytes-' || series)::uuid,
'{case_id}'::uuid, turn.id, pg_catalog.repeat('', 4000),
'career', pg_catalog.repeat('', 1000), null, 'unknown', 'clear', false
from pg_catalog.generate_series(1, 275) series
cross join public.birth_time_rectification_turns turn
where turn.case_id = '{case_id}'::uuid and turn.turn_version = 0;
"""
)
before_bytes = int(pg14_database.sql(
f"select pg_catalog.octet_length(public.load_conversational_rectification_case('{user_id}'::uuid, '{case_id}'::uuid)::text)"
))
assert 4_194_304 - 16_384 < before_bytes <= 4_194_304
extra = {
"id": "00000000-0000-4000-8000-000000000990",
"rawText": "" * 4_000,
"domain": "career",
"eventSummary": "" * 1_000,
"dateValue": "d" * 80,
"datePrecision": "range",
"extractionStatus": "corrected",
"scoreable": True,
}
assert pg14_database.rejects(
_save_statement(
user_id,
case_id,
0,
"00000000-0000-4000-8000-000000000991",
[extra],
)
)
assert pg14_database.sql(
f"select count(*) from public.birth_time_rectification_event_evidence where case_id = '{case_id}'::uuid"
) == "275"
def test_crash_then_legacy_import_refunds_orphan_without_an_unrelated_paid_start(
pg14_database: PgDatabase,
) -> None:
user_id = "00000000-0000-4000-8000-000000000992"
lost_action = "00000000-0000-4000-8000-000000000993"
legacy_case_id = "00000000-0000-4000-8000-000000000994"
import_action = "00000000-0000-4000-8000-000000000995"
_create_user(pg14_database, user_id, credits=10)
_create_legacy_case(pg14_database, user_id, legacy_case_id)
assert _reserve(pg14_database, user_id, lost_action)["credits"] == 7
statement = f"""
select public.import_legacy_conversational_rectification_case(
'{user_id}'::uuid, '{import_action}'::uuid, '{legacy_case_id}'::uuid,
0, '{import_action}'::uuid, 3, null,
{_jsonb(_valid_turn(import_action))},
{_jsonb({'modelId': 'synthetic-model', 'schemaValidated': True})},
{_jsonb(_valid_private_candidate())}
)::text;
"""
imported = json.loads(pg14_database.sql(statement))
assert imported["billing_state"] == "migration_waived"
assert json.loads(pg14_database.sql(
f"""
select pg_catalog.jsonb_build_object(
'credits', profile.credits,
'orphanState', orphan.state,
'importState', imported.state,
'importBalance', imported.balance_after,
'reserves', pg_catalog.count(*) filter (where tx.transaction_type = 'reserve'),
'refunds', pg_catalog.count(*) filter (where tx.transaction_type = 'refund'),
'recoveryReceipts', (
select pg_catalog.count(*)
from public.birth_time_rectification_action_receipts receipt
where receipt.user_id = profile.id and receipt.action_kind = 'recover_fee'
)
)::text
from public.profiles profile
join public.birth_time_rectification_billing orphan on orphan.case_id = '{lost_action}'::uuid
join public.birth_time_rectification_billing imported on imported.case_id = '{import_action}'::uuid
left join public.credit_transactions tx on tx.user_id = profile.id
where profile.id = '{user_id}'::uuid
group by profile.id, profile.credits, orphan.state, imported.state, imported.balance_after;
"""
)) == {
"credits": 10,
"orphanState": "released",
"importState": "migration_waived",
"importBalance": 10,
"reserves": 1,
"refunds": 1,
"recoveryReceipts": 1,
}
assert json.loads(pg14_database.sql(
f"""
select pg_catalog.jsonb_build_object(
'kind', receipt.request ->> 'kind',
'credits', (receipt.response ->> 'credits')::integer,
'transactionRequest', tx.request_id
)::text
from public.birth_time_rectification_action_receipts receipt
join public.credit_transactions tx
on tx.user_id = receipt.user_id and tx.transaction_type = 'refund'
where receipt.user_id = '{user_id}'::uuid and receipt.action_kind = 'recover_fee';
"""
)) == {
"kind": "recover_fee",
"credits": 10,
"transactionRequest": f"rectification:{lost_action}",
}
assert json.loads(pg14_database.sql(statement)) == imported
assert pg14_database.sql(
f"select count(*) from public.credit_transactions where user_id = '{user_id}'::uuid"
) == "2"