223 lines
7.9 KiB
Python
223 lines
7.9 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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"""
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Processing case config files.
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This is mainly designed for CI, we need to auto create and assign test jobs.
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Template Config File::
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TestConfig:
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app:
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path: Users/Test/TinyTestFW/IDF/IDFApp.py
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class: Example
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dut:
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path:
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class:
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config_file: /somewhere/config_file_for_runner
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test_name: CI_test_job_1
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Filter:
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chip: ESP32
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env_tag: default
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CaseConfig:
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- name: test_examples_protocol_https_request
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# optional
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extra_data: some extra data passed to case with kwarg extra_data
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overwrite: # overwrite test configs
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app:
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path: Users/Test/TinyTestFW/IDF/IDFApp.py
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class: Example
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- name: xxx
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"""
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import yaml
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import TestCase
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from Utility import load_source
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def _convert_to_lower_case_bytes(item):
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"""
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bot filter is always lower case string.
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this function will convert to all string to lower case.
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Note: Unicode strings are converted to bytes.
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"""
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if isinstance(item, (tuple, list)):
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output = [_convert_to_lower_case_bytes(v) for v in item]
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elif isinstance(item, type(b'')):
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output = item.lower()
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elif isinstance(item, type(u'')):
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output = item.encode().lower()
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else:
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output = item
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return output
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def _filter_one_case(test_method, case_filter):
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""" Apply filter for one case (the filter logic is the same as described in ``filter_test_cases``) """
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filter_result = True
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# filter keys are lower case. Do map lower case keys with original keys.
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key_mapping = {x.lower(): x for x in test_method.case_info.keys()}
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for orig_key in case_filter:
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key = key_mapping[orig_key]
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if key in test_method.case_info:
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# the filter key is both in case and filter
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# we need to check if they match
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filter_item = _convert_to_lower_case_bytes(case_filter[orig_key])
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accepted_item = _convert_to_lower_case_bytes(test_method.case_info[key])
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if isinstance(filter_item, (tuple, list)) \
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and isinstance(accepted_item, (tuple, list)):
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# both list/tuple, check if they have common item
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filter_result = True if set(filter_item) & set(accepted_item) else False
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elif isinstance(filter_item, (tuple, list)):
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# filter item list/tuple, check if case accepted value in filter item list/tuple
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filter_result = True if accepted_item in filter_item else False
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elif isinstance(accepted_item, (tuple, list)):
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# accepted item list/tuple, check if case filter value is in accept item list/tuple
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filter_result = True if filter_item in accepted_item else False
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else:
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if type(filter_item) != type(accepted_item):
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# This will catch silent ignores of test cases when Unicode and bytes are compared
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raise AssertionError(filter_item, '!=', accepted_item)
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# both string/int, just do string compare
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filter_result = (filter_item == accepted_item)
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else:
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# key in filter only, which means the case supports all values for this filter key, match succeed
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pass
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if not filter_result:
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# match failed
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break
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return filter_result
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def filter_test_cases(test_methods, case_filter):
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"""
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filter test case. filter logic:
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1. if filter key both in case attribute and filter:
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* if both value is string/int, then directly compare
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* if one is list/tuple, the other one is string/int, then check if string/int is in list/tuple
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* if both are list/tuple, then check if they have common item
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2. if only case attribute or filter have the key, filter succeed
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3. will do case insensitive compare for string
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for example, the following are match succeed scenarios
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(the rule is symmetric, result is same if exchange values for user filter and case attribute):
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* user case filter is ``chip: ["esp32", "esp32c"]``, case doesn't have ``chip`` attribute
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* user case filter is ``chip: ["esp32", "esp32c"]``, case attribute is ``chip: "esp32"``
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* user case filter is ``chip: "esp32"``, case attribute is ``chip: "esp32"``
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:param test_methods: a list of test methods functions
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:param case_filter: case filter
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:return: filtered test methods
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"""
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filtered_test_methods = []
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for test_method in test_methods:
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if _filter_one_case(test_method, case_filter):
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filtered_test_methods.append(test_method)
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return filtered_test_methods
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class Parser(object):
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DEFAULT_CONFIG = {
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"TestConfig": dict(),
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"Filter": dict(),
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"CaseConfig": [{"extra_data": None}],
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}
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@classmethod
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def parse_config_file(cls, config_file):
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"""
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parse from config file and then update to default config.
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:param config_file: config file path
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:return: configs
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"""
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configs = cls.DEFAULT_CONFIG.copy()
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if config_file:
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with open(config_file, "r") as f:
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configs.update(yaml.load(f))
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return configs
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@classmethod
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def handle_overwrite_args(cls, overwrite):
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"""
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handle overwrite configs. import module from path and then get the required class.
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:param overwrite: overwrite args
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:return: dict of (original key: class)
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"""
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output = dict()
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for key in overwrite:
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_path = overwrite[key]["path"]
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_module = load_source(str(hash(_path)), overwrite[key]["path"])
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output[key] = _module.__getattribute__(overwrite[key]["class"])
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return output
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@classmethod
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def apply_config(cls, test_methods, config_file):
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"""
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apply config for test methods
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:param test_methods: a list of test methods functions
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:param config_file: case filter file
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:return: filtered cases
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"""
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configs = cls.parse_config_file(config_file)
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test_case_list = []
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for _config in configs["CaseConfig"]:
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_filter = configs["Filter"].copy()
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_filter.update(_config)
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_overwrite = cls.handle_overwrite_args(_filter.pop("overwrite", dict()))
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_extra_data = _filter.pop("extra_data", None)
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for test_method in test_methods:
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if _filter_one_case(test_method, _filter):
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test_case_list.append(TestCase.TestCase(test_method, _extra_data, **_overwrite))
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return test_case_list
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class Generator(object):
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""" Case config file generator """
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def __init__(self):
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self.default_config = {
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"TestConfig": dict(),
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"Filter": dict(),
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}
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def set_default_configs(self, test_config, case_filter):
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"""
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:param test_config: "TestConfig" value
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:param case_filter: "Filter" value
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:return: None
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"""
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self.default_config = {"TestConfig": test_config, "Filter": case_filter}
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def generate_config(self, case_configs, output_file):
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"""
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:param case_configs: "CaseConfig" value
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:param output_file: output file path
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:return: None
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"""
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config = self.default_config.copy()
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config.update({"CaseConfig": case_configs})
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with open(output_file, "w") as f:
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yaml.dump(config, f)
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