ci: add `log_performance` and `check_performance` as fixtures in pytest

pull/10469/head
Fu Hanxi 2022-12-15 11:41:09 +08:00
rodzic 6ca7a3ab25
commit 6ee874ccad
1 zmienionych plików z 97 dodań i 21 usunięć

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@ -15,6 +15,7 @@
import logging
import os
import re
import sys
import xml.etree.ElementTree as ET
from datetime import datetime
@ -219,27 +220,6 @@ def session_tempdir() -> str:
return _tmpdir
@pytest.fixture()
def log_minimum_free_heap_size(dut: IdfDut, config: str) -> Callable[..., None]:
def real_func() -> None:
res = dut.expect(r'Minimum free heap size: (\d+) bytes')
logging.info(
'\n------ heap size info ------\n'
'[app_name] {}\n'
'[config_name] {}\n'
'[target] {}\n'
'[minimum_free_heap_size] {} Bytes\n'
'------ heap size end ------'.format(
os.path.basename(dut.app.app_path),
config,
dut.target,
res.group(1).decode('utf8'),
)
)
return real_func
@pytest.fixture
def case_tester(dut: IdfDut, **kwargs): # type: ignore
yield CaseTester(dut, **kwargs)
@ -313,6 +293,102 @@ def junit_properties(test_case_name: str, record_xml_attribute: Callable[[str, o
record_xml_attribute('name', test_case_name)
######################
# Log Util Functions #
######################
@pytest.fixture
def log_performance(record_property: Callable[[str, object], None]) -> Callable[[str, str], None]:
"""
log performance item with pre-defined format to the console
and record it under the ``properties`` tag in the junit report if available.
"""
def real_func(item: str, value: str) -> None:
"""
:param item: performance item name
:param value: performance value
"""
logging.info('[Performance][%s]: %s', item, value)
record_property(item, value)
return real_func
@pytest.fixture
def check_performance(idf_path: str) -> Callable[[str, float, str], None]:
"""
check if the given performance item meets the passing standard or not
"""
def real_func(item: str, value: float, target: str) -> None:
"""
:param item: performance item name
:param value: performance item value
:param target: target chip
:raise: AssertionError: if check fails
"""
def _find_perf_item(operator: str, path: str) -> float:
with open(path, 'r') as f:
data = f.read()
match = re.search(r'#define\s+IDF_PERFORMANCE_{}_{}\s+([\d.]+)'.format(operator, item.upper()), data)
return float(match.group(1)) # type: ignore
def _check_perf(operator: str, standard_value: float) -> None:
if operator == 'MAX':
ret = value <= standard_value
else:
ret = value >= standard_value
if not ret:
raise AssertionError(
"[Performance] {} value is {}, doesn't meet pass standard {}".format(item, value, standard_value)
)
path_prefix = os.path.join(idf_path, 'components', 'idf_test', 'include')
performance_files = (
os.path.join(path_prefix, target, 'idf_performance_target.h'),
os.path.join(path_prefix, 'idf_performance.h'),
)
found_item = False
for op in ['MIN', 'MAX']:
for performance_file in performance_files:
try:
standard = _find_perf_item(op, performance_file)
except (IOError, AttributeError):
# performance file doesn't exist or match is not found in it
continue
_check_perf(op, standard)
found_item = True
break
if not found_item:
raise AssertionError('Failed to get performance standard for {}'.format(item))
return real_func
@pytest.fixture
def log_minimum_free_heap_size(dut: IdfDut, config: str) -> Callable[..., None]:
def real_func() -> None:
res = dut.expect(r'Minimum free heap size: (\d+) bytes')
logging.info(
'\n------ heap size info ------\n'
'[app_name] {}\n'
'[config_name] {}\n'
'[target] {}\n'
'[minimum_free_heap_size] {} Bytes\n'
'------ heap size end ------'.format(
os.path.basename(dut.app.app_path),
config,
dut.target,
res.group(1).decode('utf8'),
)
)
return real_func
##################
# Hook functions #
##################