mirror of
https://github.com/gryf/coach.git
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524f8436a2
* create per environment Dockerfiles. Adjust CI setup to better parallelize runs. Fix a couple of issues in golden and trace tests. Update a few of the docs. * bugfix in mmc agent. Also install kubectl for CI, update badge branch. * remove integration test parallelism.
261 lines
9.6 KiB
Python
261 lines
9.6 KiB
Python
#
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# Copyright (c) 2017 Intel Corporation
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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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import argparse
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import glob
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import os
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import shutil
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import subprocess
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import multiprocessing
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import sys
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import signal
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from importlib import import_module
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from os import path
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sys.path.append('.')
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import pandas as pd
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import time
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# -*- coding: utf-8 -*-
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from rl_coach.logger import screen
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processes = []
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def sigint_handler(signum, frame):
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for proc in processes:
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os.killpg(os.getpgid(proc[2].pid), signal.SIGTERM)
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for f in os.listdir('experiments/'):
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if '__test_trace' in f:
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shutil.rmtree(os.path.join('experiments', f))
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for f in os.listdir('.'):
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if 'trace_test_log' in f:
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os.remove(f)
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exit()
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signal.signal(signal.SIGINT, sigint_handler)
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def read_csv_paths(test_path, filename_pattern, read_csv_tries=100):
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csv_paths = []
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tries_counter = 0
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while not csv_paths:
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csv_paths = glob.glob(path.join(test_path, '*', filename_pattern))
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if tries_counter > read_csv_tries:
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break
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tries_counter += 1
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time.sleep(1)
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return csv_paths
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def clean_df(df):
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if 'Wall-Clock Time' in df.keys():
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df.drop(['Wall-Clock Time'], 1, inplace=True)
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return df
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def run_trace_based_test(preset_name, num_env_steps, level=None):
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test_name = '__test_trace_{}{}'.format(preset_name, '_' + level if level else '').replace(':', '_')
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test_path = os.path.join('./experiments', test_name)
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if path.exists(test_path):
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shutil.rmtree(test_path)
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# run the experiment in a separate thread
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screen.log_title("Running test {}{}".format(preset_name, ' - ' + level if level else ''))
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log_file_name = 'trace_test_log_{preset_name}.txt'.format(preset_name=test_name[13:])
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cmd = (
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'python3 rl_coach/coach.py '
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'-p {preset_name} '
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'-e {test_name} '
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'--seed 42 '
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'-c '
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'--no_summary '
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'-cp {custom_param} '
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'{level} '
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'&> {log_file_name} '
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).format(
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preset_name=preset_name,
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test_name=test_name,
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log_file_name=log_file_name,
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level='-lvl ' + level if level else '',
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custom_param='\"improve_steps=EnvironmentSteps({n});'
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'steps_between_evaluation_periods=EnvironmentSteps({n});'
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'evaluation_steps=EnvironmentSteps(1);'
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'heatup_steps=EnvironmentSteps(1024)\"'.format(n=num_env_steps)
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)
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p = subprocess.Popen(cmd, shell=True, executable="/bin/bash", preexec_fn=os.setsid)
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return test_path, log_file_name, p
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def wait_and_check(args, processes, force=False):
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if not force and len(processes) < args.max_threads:
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return None
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test_path = processes[0][0]
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test_name = test_path.split('/')[-1]
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log_file_name = processes[0][1]
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p = processes[0][2]
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p.wait()
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filename_pattern = '*.csv'
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# get the csv with the results
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csv_paths = read_csv_paths(test_path, filename_pattern)
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test_passed = False
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screen.log('Results for {}: '.format(test_name[13:]))
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if not csv_paths:
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screen.error("csv file never found", crash=False)
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if args.verbose:
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screen.error("command exitcode: {}".format(p.returncode), crash=False)
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screen.error(open(log_file_name).read(), crash=False)
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else:
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trace_path = os.path.join('./rl_coach', 'traces', test_name[13:])
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if not os.path.exists(trace_path):
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screen.log('No trace found, creating new trace in: {}'.format(trace_path))
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os.makedirs(trace_path)
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df = pd.read_csv(csv_paths[0])
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df = clean_df(df)
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try:
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df.to_csv(os.path.join(trace_path, 'trace.csv'), index=False)
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except:
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pass
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screen.success("Successfully created new trace.")
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test_passed = True
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else:
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test_df = pd.read_csv(csv_paths[0])
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test_df = clean_df(test_df)
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new_trace_csv_path = os.path.join(trace_path, 'trace_new.csv')
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test_df.to_csv(new_trace_csv_path, index=False)
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test_df = pd.read_csv(new_trace_csv_path)
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trace_csv_path = glob.glob(path.join(trace_path, 'trace.csv'))
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trace_csv_path = trace_csv_path[0]
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trace_df = pd.read_csv(trace_csv_path)
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test_passed = test_df.equals(trace_df)
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if test_passed:
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screen.success("Passed successfully.")
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os.remove(new_trace_csv_path)
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test_passed = True
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else:
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screen.error("Trace test failed.", crash=False)
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if args.overwrite:
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os.remove(trace_csv_path)
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os.rename(new_trace_csv_path, trace_csv_path)
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screen.error("Overwriting old trace.", crash=False)
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else:
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screen.error("bcompare {} {}".format(trace_csv_path, new_trace_csv_path), crash=False)
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shutil.rmtree(test_path)
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os.remove(log_file_name)
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processes.pop(0)
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return test_passed
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('-p', '--preset', '--presets',
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help="(string) Name of preset(s) to run (comma separated, as configured in presets.py)",
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default=None,
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type=str)
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parser.add_argument('-ip', '--ignore_presets',
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help="(string) Name of preset(s) to ignore (comma separated, and as configured in presets.py)",
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default=None,
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type=str)
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parser.add_argument('-v', '--verbose',
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help="(flag) display verbose logs in the event of an error",
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action='store_true')
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parser.add_argument('--stop_after_first_failure',
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help="(flag) stop executing tests after the first error",
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action='store_true')
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parser.add_argument('-ow', '--overwrite',
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help="(flag) overwrite old trace with new ones in trace testing mode",
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action='store_true')
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parser.add_argument('-prl', '--parallel',
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help="(flag) run tests in parallel",
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action='store_true')
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parser.add_argument('-mt', '--max_threads',
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help="(int) maximum number of threads to run in parallel",
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default=multiprocessing.cpu_count()-2,
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type=int)
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args = parser.parse_args()
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if not args.parallel:
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args.max_threads = 1
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if args.preset is not None:
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presets_lists = args.preset.split(',')
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else:
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presets_lists = [f[:-3] for f in os.listdir(os.path.join('rl_coach', 'presets')) if
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f[-3:] == '.py' and not f == '__init__.py']
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fail_count = 0
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test_count = 0
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if args.ignore_presets is not None:
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presets_to_ignore = args.ignore_presets.split(',')
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else:
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presets_to_ignore = []
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for idx, preset_name in enumerate(sorted(presets_lists)):
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if args.stop_after_first_failure and fail_count > 0:
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break
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if preset_name not in presets_to_ignore:
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try:
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preset = import_module('rl_coach.presets.{}'.format(preset_name))
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except:
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screen.error("Failed to load preset <{}>".format(preset_name), crash=False)
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fail_count += 1
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test_count += 1
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continue
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preset_validation_params = preset.graph_manager.preset_validation_params
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num_env_steps = preset_validation_params.trace_max_env_steps
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if preset_validation_params.test_using_a_trace_test:
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if preset_validation_params.trace_test_levels:
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for level in preset_validation_params.trace_test_levels:
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test_count += 1
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test_path, log_file, p = run_trace_based_test(preset_name, num_env_steps, level)
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processes.append((test_path, log_file, p))
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test_passed = wait_and_check(args, processes)
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if test_passed is not None and not test_passed:
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fail_count += 1
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else:
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test_count += 1
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test_path, log_file, p = run_trace_based_test(preset_name, num_env_steps)
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processes.append((test_path, log_file, p))
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test_passed = wait_and_check(args, processes)
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if test_passed is not None and not test_passed:
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fail_count += 1
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while len(processes) > 0:
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test_passed = wait_and_check(args, processes, force=True)
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if test_passed is not None and not test_passed:
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fail_count += 1
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screen.separator()
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if fail_count == 0:
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screen.success(" Summary: " + str(test_count) + "/" + str(test_count) + " tests passed successfully")
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else:
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screen.error(" Summary: " + str(test_count - fail_count) + "/" + str(test_count) + " tests passed successfully")
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if __name__ == '__main__':
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os.environ['DISABLE_MUJOCO_RENDERING'] = '1'
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main()
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del os.environ['DISABLE_MUJOCO_RENDERING']
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