bigquery-etl/tests/validation/hmac_sha256.py

63 строки
1.6 KiB
Python
Исходник Обычный вид История

"""
Validate HMAC-SHA256 implementation against the NIST test vectors.
The vectors are located in tests/validation/data/hmac_sha256_validation.json.
"""
import json
import pytest
from google.cloud import bigquery
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from bigquery_etl.routine.parse_routine import (
RawRoutine,
read_routine_dir,
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routine_tests_sql,
)
validation_data_file = "tests/validation/data/hmac_sha256_validation.json"
def udfs():
"""Get all udfs and assertions."""
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return read_routine_dir("tests/assert", "udf", "udf_js")
def load_data():
"""Load test data."""
with open(validation_data_file, "r") as f:
return json.load(f)["data"]
def generate_raw_routine(test_cases):
"""Generate a SQL test for each instance in hmac_sha256_validation.json."""
test_sql_fixture = (
"SELECT assert_equals("
"'{Mac}',"
"TO_HEX(SUBSTR("
"udf.hmac_sha256("
"FROM_HEX('{Key}'),"
"FROM_HEX('{Msg}')),"
"1,"
"{Tlen})));"
)
test_sql_stmnts = [test_sql_fixture.format(**test_case) for test_case in test_cases]
return RawRoutine.from_file(
from_text="\n".join(test_sql_stmnts),
path="udf" / "hmac_sha256" / "hmac_sha256" / "sql",
)
def generate_sql():
"""Generate SQL statements to test."""
return routine_tests_sql(generate_raw_routine(load_data()), udfs())
@pytest.mark.parametrize("sql", generate_sql())
def test_validate_hmac_sha256(sql):
"""Validate hmac_sha256."""
job_config = bigquery.QueryJobConfig(use_legacy_sql=False)
job = bigquery.Client().query(sql, job_config=job_config)
job.result()