mirror of
https://github.com/espressif/esp-idf.git
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111 lines
3.9 KiB
Python
111 lines
3.9 KiB
Python
# Copyright 2015-2017 Espressif Systems (Shanghai) PTE LTD
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http:#www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import re
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import TinyFW
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import Utility
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from IDF.IDFApp import IDFApp, Example, UT
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from IDF.IDFDUT import IDFDUT
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def idf_example_test(app=Example, dut=IDFDUT, chip="ESP32", module="examples", execution_time=1,
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level="example", erase_nvs=True, **kwargs):
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"""
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decorator for testing idf examples (with default values for some keyword args).
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:param app: test application class
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:param dut: dut class
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:param chip: chip supported, string or tuple
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:param module: module, string
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:param execution_time: execution time in minutes, int
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:param level: test level, could be used to filter test cases, string
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:param erase_nvs: if need to erase_nvs in DUT.start_app()
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:param kwargs: other keyword args
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:return: test method
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"""
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try:
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# try to config the default behavior of erase nvs
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dut.ERASE_NVS = erase_nvs
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except AttributeError:
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pass
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return TinyFW.test_method(app=app, dut=dut, chip=chip, module=module,
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execution_time=execution_time, level=level, **kwargs)
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def idf_unit_test(app=UT, dut=IDFDUT, chip="ESP32", module="unit-test", execution_time=1,
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level="unit", erase_nvs=True, **kwargs):
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"""
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decorator for testing idf unit tests (with default values for some keyword args).
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:param app: test application class
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:param dut: dut class
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:param chip: chip supported, string or tuple
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:param module: module, string
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:param execution_time: execution time in minutes, int
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:param level: test level, could be used to filter test cases, string
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:param erase_nvs: if need to erase_nvs in DUT.start_app()
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:param kwargs: other keyword args
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:return: test method
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"""
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try:
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# try to config the default behavior of erase nvs
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dut.ERASE_NVS = erase_nvs
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except AttributeError:
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pass
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return TinyFW.test_method(app=app, dut=dut, chip=chip, module=module,
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execution_time=execution_time, level=level, **kwargs)
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def log_performance(item, value):
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"""
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do print performance with pre-defined format to console
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:param item: performance item name
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:param value: performance value
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"""
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Utility.console_log("[Performance][{}]: {}".format(item, value), "orange")
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def check_performance(item, value):
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"""
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check if idf performance meet pass standard
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:param item: performance item name
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:param value: performance item value
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:raise: AssertionError: if check fails
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"""
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ret = True
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standard_value = 0
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idf_path = IDFApp.get_sdk_path()
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performance_file = os.path.join(idf_path, "components", "idf_test", "include", "idf_performance.h")
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if os.path.exists(performance_file):
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with open(performance_file, "r") as f:
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data = f.read()
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match = re.search(r"#define\s+IDF_PERFORMANCE_(MIN|MAX)_{}\s+([\d.]+)".format(item.upper()), data)
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if match:
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op = match.group(1)
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standard_value = float(match.group(2))
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if op == "MAX":
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ret = value <= standard_value
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else:
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ret = value >= standard_value
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if not ret:
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raise AssertionError("[Performance] {} value is {}, doesn't meet pass standard {}"
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.format(item, value, standard_value))
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