esp-idf/tools/ci/python_packages/ttfw_idf/__init__.py
David Cermak cec408c760 ci: ttfw update to support qemu dut_class
Updated missing example tests per latest ttfw refactoring,
updated pythons requirements.txt for ttfw_idf
2019-12-17 14:06:40 +01:00

133 lines
4.8 KiB
Python

# Copyright 2015-2017 Espressif Systems (Shanghai) PTE LTD
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http:#www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import re
from tiny_test_fw import TinyFW, Utility
from IDFApp import IDFApp, Example, LoadableElfExample, UT # noqa: export all Apps for users
from IDFDUT import IDFDUT, ESP32DUT, ESP32S2DUT, ESP8266DUT, ESP32QEMUDUT # noqa: export DUTs for users
def format_case_id(chip, case_name):
return "{}.{}".format(chip, case_name)
def idf_example_test(app=Example, dut=IDFDUT, chip="ESP32", module="examples", execution_time=1,
level="example", erase_nvs=True, config_name=None, **kwargs):
"""
decorator for testing idf examples (with default values for some keyword args).
:param app: test application class
:param dut: dut class
:param chip: chip supported, string or tuple
:param module: module, string
:param execution_time: execution time in minutes, int
:param level: test level, could be used to filter test cases, string
:param erase_nvs: if need to erase_nvs in DUT.start_app()
:param config_name: if specified, name of the app configuration
:param kwargs: other keyword args
:return: test method
"""
try:
# try to config the default behavior of erase nvs
dut.ERASE_NVS = erase_nvs
except AttributeError:
pass
original_method = TinyFW.test_method(app=app, dut=dut, chip=chip, module=module,
execution_time=execution_time, level=level, **kwargs)
def test(func):
test_func = original_method(func)
test_func.case_info["ID"] = format_case_id(chip, test_func.case_info["name"])
return test_func
return test
def idf_unit_test(app=UT, dut=IDFDUT, chip="ESP32", module="unit-test", execution_time=1,
level="unit", erase_nvs=True, **kwargs):
"""
decorator for testing idf unit tests (with default values for some keyword args).
:param app: test application class
:param dut: dut class
:param chip: chip supported, string or tuple
:param module: module, string
:param execution_time: execution time in minutes, int
:param level: test level, could be used to filter test cases, string
:param erase_nvs: if need to erase_nvs in DUT.start_app()
:param kwargs: other keyword args
:return: test method
"""
try:
# try to config the default behavior of erase nvs
dut.ERASE_NVS = erase_nvs
except AttributeError:
pass
original_method = TinyFW.test_method(app=app, dut=dut, chip=chip, module=module,
execution_time=execution_time, level=level, **kwargs)
def test(func):
test_func = original_method(func)
test_func.case_info["ID"] = format_case_id(chip, test_func.case_info["name"])
return test_func
return test
def log_performance(item, value):
"""
do print performance with pre-defined format to console
:param item: performance item name
:param value: performance value
"""
performance_msg = "[Performance][{}]: {}".format(item, value)
Utility.console_log(performance_msg, "orange")
# update to junit test report
current_junit_case = TinyFW.JunitReport.get_current_test_case()
current_junit_case.stdout += performance_msg + "\r\n"
def check_performance(item, value):
"""
check if idf performance meet pass standard
:param item: performance item name
:param value: performance item value
:raise: AssertionError: if check fails
"""
ret = True
standard_value = 0
idf_path = IDFApp.get_sdk_path()
performance_file = os.path.join(idf_path, "components", "idf_test", "include", "idf_performance.h")
if os.path.exists(performance_file):
with open(performance_file, "r") as f:
data = f.read()
match = re.search(r"#define\s+IDF_PERFORMANCE_(MIN|MAX)_{}\s+([\d.]+)".format(item.upper()), data)
if match:
op = match.group(1)
standard_value = float(match.group(2))
if op == "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))