| # | |
| # Licensed to the Apache Software Foundation (ASF) under one or more | |
| # contributor license agreements. See the NOTICE file distributed with | |
| # this work for additional information regarding copyright ownership. | |
| # The ASF licenses this file to You 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. | |
| # | |
| """Executes notebook tests in current enviornment. | |
| Example usage: | |
| Run all specs in ./base/: python runner.py base | |
| Run single test spec: python runner.py --single-test base/testing.spec | |
| """ | |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| import argparse | |
| import glob | |
| import itertools | |
| import os | |
| import sys | |
| from collections import OrderedDict | |
| import yaml | |
| import nbformat | |
| from nbconvert.preprocessors import ExecutePreprocessor | |
| # import testlib | |
| class Executor: | |
| """Loads a single test spec, executes and compares target notebook.""" | |
| def __init__(self, spec_path, timeout_secs): | |
| with open(spec_path, "r") as spec_f: | |
| self.spec = yaml.safe_load(spec_f) | |
| # notebook in spec relative to spec's location | |
| self.dir = os.path.dirname(spec_path) | |
| self.notebook_path = os.path.join(self.dir, self.spec["notebook"]) | |
| self.tests = self.spec["tests"] | |
| self.timeout_secs = timeout_secs | |
| def execute_tests(self): | |
| """Executes notebook and compares to test spec. | |
| Returns: | |
| # of tests, # of errors, error_dict | |
| where error_dict maps (cell number, test class, expected output) to string | |
| """ | |
| # load and execute notebook using nbconvert | |
| with open(self.notebook_path, "r") as nb_f: | |
| nb = nbformat.read(nb_f, as_version=4) | |
| ExecutePreprocessor.timeout = self.timeout_secs | |
| ep = ExecutePreprocessor(allow_errors=True) | |
| # Executes full notebook, result is classic JSON representation | |
| exec_nb, _ = ep.preprocess(nb, {"metadata": {"path": self.dir + "/"}}) | |
| test_count = 0 | |
| error_count = 0 | |
| errors = OrderedDict() | |
| code_cells = {} | |
| for cell in exec_nb["cells"]: | |
| if cell["cell_type"] == "code": | |
| code_cells[cell["execution_count"]] = cell | |
| # generate test cases for each line, substituting in the output | |
| for cell_num in sorted(self.tests.keys()): | |
| if cell_num not in code_cells: | |
| test_count += 1 | |
| error_count += 1 | |
| errors[(cell_num, "", "")] = "Given cell does not exist." | |
| else: | |
| cell = code_cells[cell_num] | |
| for test in self.tests[cell_num]: | |
| cls, setup = list(test.items())[0] | |
| test_count += 1 | |
| try: | |
| getattr(sys.modules["testlib"], cls)(setup).check(cell) | |
| except Exception as e: | |
| error_count += 1 | |
| errors[(cell_num, cls, setup)] = str(e) | |
| return test_count, error_count, errors | |
| def main(): | |
| """Executes tests. | |
| Return codes: | |
| 0 if all tests passed, 1 otherwise | |
| 2 if no tests were found | |
| """ | |
| parser = argparse.ArgumentParser("Notebook test runner") | |
| # TODO: for environments with multiple kernels, add kernel name | |
| parser.add_argument("suites", nargs="*") | |
| parser.add_argument("--single-test") | |
| parser.add_argument( | |
| "--timeout-secs", | |
| type=int, | |
| default=30, | |
| help="The time to wait (in seconds) for output from the execution of a " | |
| "cell.") | |
| args = parser.parse_args() | |
| if args.single_test: | |
| specs = [args.single_test] | |
| else: | |
| specs = itertools.chain.from_iterable([ | |
| glob.iglob("{}/**.spec".format(suite), recursive=True) | |
| for suite in args.suites | |
| ]) | |
| total_test_count = 0 | |
| total_error_count = 0 | |
| total_errors = [] | |
| for spec in specs: | |
| test_count, error_count, errors = Executor( | |
| spec, args.timeout_secs).execute_tests() | |
| total_test_count += test_count | |
| total_error_count += error_count | |
| if errors: | |
| total_errors.append((spec, errors)) | |
| if total_test_count == 0: | |
| print("No tests were found.") | |
| sys.exit(2) | |
| print("{} errors in {} tests.\n".format(total_error_count, total_test_count)) | |
| if total_error_count: | |
| for spec, errors in total_errors: | |
| print("In spec {}:".format(spec)) | |
| for info, error in errors.items(): | |
| cell_num, cls, setup = info | |
| print("\tCell {} [{}: {}]: {}".format(cell_num, cls, setup, error)) | |
| print("\n") | |
| ret_code = 0 if total_error_count == 0 else 1 | |
| sys.exit(ret_code) | |
| if __name__ == "__main__": | |
| main() |