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How to use base_context method in autotest

Best Python code snippet using autotest_python

test_base_runner.py

Source:test_base_runner.py

1import os2import re3import pytest4from flexmock import flexmock5from typing import Dict, List, IO6from algorithm_tester.concurrency_runners import Runner, Runners, BaseRunner7import algorithm_tester.concurrency_runners as concurrency_runners8from algorithm_tester_common.tester_dataclasses import Algorithm, AlgTesterContext, Parser, InstancesLogger9from algorithm_tester.helpers import curr_time_millis, create_path10from tests.test_internal.fixtures import create_dummy_context, create_dummy_algorithm, get_base_parsed_data, create_dummy_parser11from algorithm_tester.plugins import Plugins12_runner: BaseRunner = BaseRunner()13def test_notify_communicators_timing():14    base_context = create_dummy_context()15    notification_vars = {16        "last_comm_time": 0,17        "instances_done": 018    }19    res = _runner.notify_communicators(base_context, [], {}, notification_vars)20    new_last_comm_time = notification_vars["last_comm_time"]21    assert notification_vars["last_comm_time"] != 022    assert res == True23    res = _runner.notify_communicators(base_context, [], {}, notification_vars)24    assert res == False25    assert notification_vars["last_comm_time"] == new_last_comm_time26    notification_vars["last_comm_time"] -= base_context.min_time_between_communications + 127    new_last_comm_time = notification_vars["last_comm_time"]28    res = _runner.notify_communicators(base_context, [], {}, notification_vars)29    assert res == True30    assert notification_vars["last_comm_time"] != new_last_comm_time31    print32def _removing_perform(context: AlgTesterContext, parsed_data: Dict[str, object]):33    """34    A function that does not return input data that is further needed in the algorithm.35    36    Arguments:37        context {AlgTesterContext} -- Used context.38        parsed_data {Dict[str, object]} -- Input data.39    40    Returns:41        Dict[str, object] -- Modified input data.42    """43    return {"id": parsed_data["id"], "item_count": parsed_data["item_count"]}44@pytest.mark.parametrize('algorithm', 45    (create_dummy_algorithm(),46    create_dummy_algorithm(name="DummyRemovingAlgorithm", perform_func=_removing_perform))47)48def test_get_solution_for_instance(algorithm: Algorithm):49    base_context = create_dummy_context(algorithms=[algorithm.get_name()])50    base_data = get_base_parsed_data(base_context, algorithm)51    base_data.update({"id": 0, "item_count": 0})52    res: Dict[str, object] = _runner.get_solution_for_instance(base_context, algorithm, base_data)53    assert "algorithm" in res54    assert "algorithm_name" in res55    assert "output_filename" in res56    print57@pytest.mark.parametrize('algorithm', 58    (create_dummy_algorithm(),59    create_dummy_algorithm(name="DummyRemovingAlgorithm", perform_func=_removing_perform))60)61def test_get_parsed_instances_data(algorithm: Algorithm):62    parser = create_dummy_parser()63    base_context = create_dummy_context(algorithms=[algorithm.get_name()], parser=parser.get_name())64    base_data = get_base_parsed_data(base_context, algorithm)65    with open(f'{base_context.input_dir}/4_inst.dat', "r") as input_file:66        res: List[Dict[str, object]] = _runner.get_parsed_instances_data(base_context, input_file, parser, algorithm)67    assert len(res) > 068    assert "algorithm" in res[0]69    assert "algorithm_name" in res[0]70    assert "output_filename" in res[0]71    print72@pytest.mark.parametrize('algorithms', 73    ([create_dummy_algorithm(), create_dummy_algorithm("Alg2")],74    [create_dummy_algorithm(name="DummyRemovingAlgorithm", perform_func=_removing_perform), create_dummy_algorithm("Alg2")])75)76def test_run_tester_for_file(algorithms: Algorithm, tmpdir):77    output_dir = tmpdir78    parser = create_dummy_parser()79    base_context: AlgTesterContext = create_dummy_context(algorithms=[alg.get_name() for alg in algorithms], parser=parser.get_name())80    base_context.num_of_instances = 500*len(algorithms)81    base_context.output_dir = output_dir.strpath82    notification_vars = {83        "last_comm_time": 0,84        "instances_done": 0,85        "instances_failed": 086    }87    instances_logger: InstancesLogger = InstancesLogger(base_context.output_dir, base_context.is_forced)88    create_path(base_context.output_dir)89    90    flexmock(Plugins)91    Plugins.should_receive("get_parser").and_return(parser)92    93    for algorithm in algorithms:94        (Plugins.should_receive("get_algorithm")95            .with_args(algorithm.get_name())96            .and_return(algorithm))97    flexmock(BaseRunner)98    BaseRunner.should_receive("notify_communicators").times(base_context.num_of_instances + 1)99    flexmock(parser).should_receive("write_result_to_file").times(base_context.num_of_instances)100    _runner.init(instances_logger)101    _runner.run_tester_for_file(base_context, f'{base_context.input_dir}/4_inst.dat', notification_vars)102    assert notification_vars["instances_done"] == base_context.num_of_instances103    assert not instances_logger._instance_log.closed104    instances_logger.close_log()105    assert instances_logger._instance_log.closed106    instances_logger.load_instances()107    assert instances_logger.get_num_of_done_instances() == base_context.num_of_instances108    109    print110def _dummy_failing_func(context: AlgTesterContext, parsed_data: Dict[str, object]) -> Dict[str, object]:111    raise Exception("Dummy exception")112def test_run_tester_for_file_exceptions(tmpdir):113    output_dir = tmpdir114    parser = create_dummy_parser()115    algorithms = [create_dummy_algorithm(), create_dummy_algorithm(name="AlgFailure", perform_func=_dummy_failing_func)]116    base_context: AlgTesterContext = create_dummy_context(parser=parser.get_name(), algorithms=[alg.get_name() for alg in algorithms])117    base_context.num_of_instances = 500118    base_context.output_dir = output_dir.strpath119    notification_vars = {120        "last_comm_time": 0,121        "instances_done": 0,122        "instances_failed": 0123    }124    instances_logger: InstancesLogger = InstancesLogger(base_context.output_dir, base_context.is_forced)125    create_path(base_context.output_dir)126    127    flexmock(Plugins)128    Plugins.should_receive("get_parser").and_return(parser)129    130    for algorithm in algorithms:131        (Plugins.should_receive("get_algorithm")132            .with_args(algorithm.get_name())133            .and_return(algorithm))134    flexmock(BaseRunner)135    BaseRunner.should_receive("notify_communicators").times(base_context.num_of_instances + 1)136    flexmock(parser).should_receive("write_result_to_file").times(base_context.num_of_instances)137    _runner.init(instances_logger)138    _runner.run_tester_for_file(base_context, f'{base_context.input_dir}/4_inst.dat', notification_vars)139    assert notification_vars["instances_done"] == base_context.num_of_instances140    assert notification_vars["instances_failed"] == base_context.num_of_instances141    print142@pytest.mark.parametrize('is_change_forced', (True, False))143def test_compute_results(is_change_forced: bool):144    base_context: AlgTesterContext = create_dummy_context()145    base_context.max_files_to_check = None146    base_context.is_forced = is_change_forced147    instances_logger: InstancesLogger = InstancesLogger(base_context.output_dir, base_context.is_forced)148    input_files = list()149    for root, _, files in os.walk(base_context.input_dir):150        for filename in files:151            input_files.append(f'{root}/{filename}')152    flexmock(BaseRunner)153    (BaseRunner.should_receive("run_tester_for_file")154        .with_args(base_context, re.compile(f'{base_context.input_dir}/.*'), object)155        .and_return(None)156        .times(len(input_files)))157    _runner.init(instances_logger)158    _runner.compute_results(base_context, input_files)...

tc-decision.py

Source:tc-decision.py

1# -*- coding: utf-8 -*-2from __future__ import absolute_import, print_function, unicode_literals3from glob import glob4from functools import reduce5import json6import jsone7import os8import sys9import requests10import slugid11import yaml12import subprocess13import networkx as nx14TASKS_ROOT = os.path.join(os.path.dirname(os.path.abspath(sys.argv[0])))15TASKCLUSTER_API_BASEURL = 'http://taskcluster/queue/v1/task/%(task_id)s'16def string_to_dict(sid, value):17    parts = sid.split('.')18    def pack(parts):19        if len(parts) == 1:20            return {parts[0]: value}21        elif len(parts):22            return {parts[0]: pack(parts[1:])}23        return parts24    return pack(parts)25def merge_dicts(*dicts):26    if not reduce(lambda x, y: isinstance(y, dict) and x, dicts, True):27        raise TypeError("Object in *dicts not of type dict")28    if len(dicts) < 2:29        raise ValueError("Requires 2 or more dict objects")30    def merge(a, b):31        for d in set(a.keys()).union(b.keys()):32            if d in a and d in b:33                if type(a[d]) == type(b[d]):34                    if not isinstance(a[d], dict):35                        ret = list({a[d], b[d]})36                        if len(ret) == 1: ret = ret[0]37                        yield (d, sorted(ret))38                    else:39                        yield (d, dict(merge(a[d], b[d])))40                else:41                    raise TypeError("Conflicting key:value type assignment", type(a[d]), a[d], type(b[d]), b[d])42            elif d in a:43                yield (d, a[d])44            elif d in b:45                yield (d, b[d])46            else:47                raise KeyError48    return reduce(lambda x, y: dict(merge(x, y)), dicts[1:], dicts[0])49def taskcluster_event_context():50    das_context = {}51    # Pre-filterting52    for k in os.environ.keys():53        if k == 'GITHUB_HEAD_USER':54            os.environ['GITHUB_HEAD_USER_LOGIN'] = os.environ[k]55            del os.environ['GITHUB_HEAD_USER']56    for k in os.environ.keys():57        if k == 'TASK_ID':58            parts = string_to_dict('taskcluster.taskGroupId', os.environ[k])59            das_context = merge_dicts(das_context, parts)60        if k.startswith('GITHUB_'):61            parts = string_to_dict(k.lower().replace('_', '.').replace('github', 'event'), os.environ[k])62            das_context = merge_dicts(das_context, parts)63    return das_context64def load_specific_contextFile(file):65    specific_context = {}66    try:67        with open(os.path.join(TASKS_ROOT, file)) as src:68            specific_context = yaml.load(src)69        if specific_context is None:70            specific_context = {}71    except FileNotFoundError:72        specific_context = {}73    return specific_context74def defaultValues_build_context():75    return load_specific_contextFile('.build.yml')76def shared_context():77    return load_specific_contextFile('.shared.yml')78def create_task_payload(build, base_context):79    print('build', build)80    build_type = os.path.splitext(os.path.basename(build))[0]81    build_context = defaultValues_build_context()82    with open(build) as src:83        build_context['build'].update(yaml.load(src)['build'])84    # Be able to use what has been defined in base_context85    # e.g., the {${event.head.branch}}86    build_context = jsone.render(build_context, base_context)87    template_context = {88        'taskcluster': {89            'taskId': as_slugid(build_type)90        },91        'build_type': build_type92    }93    with open(os.path.join(TASKS_ROOT, build_context['build']['template_file'])) as src:94        template = yaml.load(src)95    contextes = merge_dicts({}, base_context, template_context, build_context)96    for one_context in glob(os.path.join(TASKS_ROOT, '*.cyml')):97        with open(one_context) as src:98            contextes = merge_dicts(contextes, yaml.load(src))99    return jsone.render(template, contextes)100def send_task(t):101    url = TASKCLUSTER_API_BASEURL % {'task_id': t['taskId']}102    del t['taskId']103    r = requests.put(url, json=t)104    print(url, r.status_code)105    if r.status_code != requests.codes.ok:106        print(json.dumps(t, indent=2))107        print(r.content)108        print(json.loads(r.content.decode())['message'])109    return r.status_code == requests.codes.ok110slugids = {}111def as_slugid(name):112    if name not in slugids:113        slugids[name] = slugid.nice().decode()114        print('cache miss', name, slugids[name])115    else:116        print('cache hit', name, slugids[name])117    return slugids[name]118def to_int(x):119    return int(x)120def functions_context():121    return {122        'as_slugid': as_slugid,123        'to_int': to_int124    }125def is_dry_run():126    return (len(sys.argv) > 1) and (sys.argv[1] == '--dry')127def should_run():128    # Make a quick clone to fetch the last commit129    try:130        subprocess.check_call([131            'git', 'clone', '--quiet', '-b', os.environ.get('GITHUB_HEAD_BRANCH'),132            '--single-branch', os.environ.get('GITHUB_HEAD_REPO_URL'),133            '--depth=1', '/tmp/ds-clone/'134        ], env={'GIT_LFS_SKIP_SMUDGE': '1'})135    except subprocess.CalledProcessError as e:136        print("Error while git cloning:", e, file=sys.stderr)137        return False138    try:139        git_msg = subprocess.check_output([140            'git', '--git-dir=/tmp/ds-clone/.git/',141            'log', '--format=%b', '-n', '1',142            os.environ.get('GITHUB_HEAD_SHA')143        ]).decode('utf-8').strip().upper()144    except subprocess.CalledProcessError as e:145        print("Error while git show:", e, file=sys.stderr)146        return False147    print('Commit message:', git_msg)148    x_deepspeech = filter(lambda x: 'X-DEEPSPEECH:' in x, git_msg.split('\n'))149    if len(list(filter(lambda x: 'NOBUILD' in x, x_deepspeech))) == 1:150        print('Not running anything according to commit message')151        return False152    return True153if __name__ == '__main__':154    if not is_dry_run():155        # We might want to NOT run in some cases156        if not should_run():157            sys.exit(0)158    base_context = taskcluster_event_context()159    base_context = merge_dicts(base_context, functions_context())160    base_context = merge_dicts(base_context, shared_context())161    root_task = base_context['taskcluster']['taskGroupId']162    tasks_graph = nx.DiGraph()163    tasks = {}164    for build in glob(os.path.join(TASKS_ROOT, '*.yml')):165        t = create_task_payload(build, base_context)166        # We allow template to produce completely empty output167        if not t:168            continue169        if 'dependencies' in t and len(t['dependencies']) > 0:170            for dep in t['dependencies']:171                tasks_graph.add_edge(t['taskId'], dep)172        else:173            tasks_graph.add_edge(t['taskId'], root_task)174        tasks[t['taskId']] = t175    for task in nx.dfs_postorder_nodes(tasks_graph):176        # root_task is the task group and also the task id that is already177        # running, so we don't have to schedule that178        if task == root_task:179            continue180        t = tasks[task]181        if is_dry_run():182            print(json.dumps(t, indent=2))183            continue184        p = send_task(t)185        if not p:...

jsons.py

Source:jsons.py

1import decimal2import regex3import ast4import logging5import json6from datetime import datetime7from dotted.collection import DottedDict8def search_json(json_data, key):9    """Search for dot notation in json10    If ALL or ANY are included in the search path, then we will return a list of matching items.11    For example: with the data of:12      {"dogs": [13      {"name": "spot",14      "breed": "dalmatian"},15      {"name": "Daisy",16      "breed": "boomer"},17      {"name": "jack",18      "breed": "jack russel"},19      ]20      }21    Search terms, and their responses:22    dogs.1.breed = "boomer"23    dogs.2 = {"name": "jack", "breed": "jack russel"}24    dogs.ALL.name = ["spot", "Daisy", "jack"]25    dogs.ANY.name = ["spot", "Daisy", "jack"]26    dogs.ANY.name = ["spot", "Daisy", "jack"]27    Parameters:28        json_data (str): The json to be searched in29        key (str): The string to look for30    Returns:31        String: The new string with found values32    """33    if ".ALL." in key or ".ANY." in key:34        key = key.replace(".ANY.", ".ALL.")35        short_list = DottedDict(json_data)[key.split(".ALL.")[0]].to_python()36        collated_values = []37        for item in short_list:38            if type(item[key.split(".ALL.")[1]]) == datetime:39                collated_value = str(item[key.split(".ALL.")[1]])40            else:41                collated_value = item[key.split(".ALL.")[1]]42            collated_values.append(collated_value)43        found_value = json.dumps(collated_values)44    else:45        if type(DottedDict(json_data)[key]) in [str, int, bool, float, decimal.Decimal, datetime]:46            found_value = str(DottedDict(json_data)[key])47        elif callable(DottedDict(json_data)[key]):48            found_value = DottedDict(json_data)[key]()49        elif DottedDict(json_data)[key] == None:50            found_value = "None"51        else:52            found_value = json.dumps(DottedDict(json_data)[key].to_python(), sort_keys=True, default=str)53    return found_value54def merge_context(base_context, addition):55    """Merges one set of json into another56    Parameters:57        base_context (dict): The initial json to merge to58        addition (dict): The json that we want to add59        60    Returns:61        String (dict): The new json that we'll return62    """63    if len(base_context) > 0:64        for u_item in addition:65            if u_item not in base_context:66                base_context[u_item] = addition[u_item]67            else:68                if type(addition[u_item]) == dict:69                    base_context[u_item] = merge_context(base_context[u_item], addition[u_item])70                elif type(addition[u_item]) == list and type(base_context[u_item]) == list:71                    base_context[u_item] += addition[u_item]72                else:73                    base_context[u_item] = addition[u_item]74    else:75        base_context = addition76    return base_context77def merge_json(base_context, addition):78    """Merges one set of json into another79    Parameters:80        base_context (dict): The initial json to merge to81        addition (dict): The json that we want to add82    Returns:83        String (dict): The new json that we'll return84    """85    if len(base_context) > 0:86        for u_item in addition:87            if u_item not in base_context:88                base_context[u_item] = addition[u_item]89            else:90                if type(addition[u_item]) == dict:91                    base_context[u_item] = merge_json(base_context[u_item], addition[u_item])92                else:93                    base_context[u_item] = addition[u_item]94    else:95        base_context = addition96    return base_context97def is_json(myjson):98    try:99        json_object = json.loads(myjson)100    except ValueError as e:101        return False102    return True103def get_dotsearch(context, string_to_search):104    # rx = ast.literal_eval(regex.findall(r"(\[.*\])", string_to_search)[0])    105    rx = json.loads(regex.findall(r"(\[.*\])", string_to_search)[0])106    search_pattern = string_to_search.replace(regex.findall(r"(\[.*\], )", string_to_search)[0], "")107    search_key = search_pattern[:search_pattern.find(".")]108    # search_value = search_pattern[search_pattern.rfind(".") + 1:]109    search_value = search_pattern.lstrip(search_key)110    search_value = search_value.replace(".", "", 1)111    logging.debug(f"search_key: {search_key}")112    logging.debug(f"search_value: {search_value}")113    found_index = "NOTFOUND"114    for array_index, dict_struct in enumerate(rx):115        if search_key in dict_struct:116            found_value = search_json(dict_struct, search_key)117            if (found_value != "NOTFOUND") and (found_value == search_value):118                found_index = str(array_index)119    logging.debug(f"found_index: {found_index}")120            ...

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