Python schema.Regex方法代码示例

# 需要导入模块: import schema [as 别名]
# 或者: from schema import Regex [as 别名]
def validate_ebs_volume_parameters(params: dict):
    from spotty.providers.aws.deployment.project_resources.ebs_volume import EbsVolume

    schema = Schema({
        Optional('volumeName', default=''): And(str, Regex(r'^[\w-]{1,255}$')),
        Optional('mountDir', default=''): str,  # all the checks happened in the base configuration
        Optional('size', default=0): And(int, lambda x: x > 0),
        # TODO: add the "iops" parameter to support the "io1" EBS volume type
        Optional('type', default='gp2'): lambda x: x in ['gp2', 'sc1', 'st1', 'standard'],
        Optional('deletionPolicy', default=EbsVolume.DP_CREATE_SNAPSHOT): And(
            str,
            lambda x: x in [EbsVolume.DP_CREATE_SNAPSHOT,
                            EbsVolume.DP_UPDATE_SNAPSHOT,
                            EbsVolume.DP_RETAIN,
                            EbsVolume.DP_DELETE], error='Incorrect value for "deletionPolicy".'
        ),
    })

    return validate_config(schema, params) 

# 需要导入模块: import schema [as 别名]
# 或者: from schema import Regex [as 别名]
def validate_disk_volume_parameters(params: dict):
    from spotty.providers.gcp.deployment.project_resources.disk_volume import DiskVolume

    schema = Schema({
        Optional('diskName', default=''): And(str, Regex(r'^[\w-]{1,255}$')),
        Optional('mountDir', default=''): str,  # all the checks happened in the base configuration
        Optional('size', default=0): And(int, lambda x: x > 0),
        Optional('deletionPolicy', default=DiskVolume.DP_CREATE_SNAPSHOT): And(
            str,
            lambda x: x in [DiskVolume.DP_CREATE_SNAPSHOT,
                            DiskVolume.DP_UPDATE_SNAPSHOT,
                            DiskVolume.DP_RETAIN,
                            DiskVolume.DP_DELETE], error='Incorrect value for "deletionPolicy".'
        ),
    })

    return validate_config(schema, params) 

# 需要导入模块: import schema [as 别名]
# 或者: from schema import Regex [as 别名]
def validate_instance_parameters(params: dict):
    from spotty.providers.aws.config.instance_config import VOLUME_TYPE_EBS

    instance_parameters = {
        'region': And(str, Regex(r'^[a-z0-9-]+$')),
        Optional('availabilityZone', default=''): And(str, Regex(r'^[a-z0-9-]+$')),
        Optional('subnetId', default=''): And(str, Regex(r'^subnet-[a-z0-9]+$')),
        'instanceType': str,
        Optional('onDemandInstance', default=False): bool,
        Optional('amiName', default=None): And(str, len, Regex(r'^[\w\(\)\[\]\s\.\/\'@-]{3,128}$')),
        Optional('amiId', default=None): And(str, len, Regex(r'^ami-[a-z0-9]+$')),
        Optional('rootVolumeSize', default=0): And(Or(int, str), Use(str),
                                                   Regex(r'^\d+$', error='Incorrect value for "rootVolumeSize".'),
                                                   Use(int),
                                                   And(lambda x: x > 0,
                                                       error='"rootVolumeSize" should be greater than 0 or should '
                                                             'not be specified.'),
                                                   ),
        Optional('maxPrice', default=0): And(Or(float, int, str), Use(str),
                                             Regex(r'^\d+(\.\d{1,6})?$', error='Incorrect value for "maxPrice".'),
                                             Use(float),
                                             And(lambda x: x > 0, error='"maxPrice" should be greater than 0 or '
                                                                        'should  not be specified.'),
                                             ),
        Optional('managedPolicyArns', default=[]): [str],
    }

    volumes_checks = [
        And(lambda x: len(x) < 12, error='Maximum 11 volumes are supported at the moment.'),
    ]

    instance_checks = [
        And(lambda x: not (x['onDemandInstance'] and x['maxPrice']),
            error='"maxPrice" cannot be specified for on-demand instances.'),
        And(lambda x: not (x['amiName'] and x['amiId']),
            error='"amiName" and "amiId" parameters cannot be used together.'),
    ]

    schema = get_instance_parameters_schema(instance_parameters, VOLUME_TYPE_EBS, instance_checks, volumes_checks)

    return validate_config(schema, params) 

# 需要导入模块: import schema [as 别名]
# 或者: from schema import Regex [as 别名]
def validate_instance_parameters(params: dict):
    from spotty.providers.gcp.config.instance_config import VOLUME_TYPE_DISK

    instance_parameters = {
        'zone': And(str, Regex(r'^[a-z0-9-]+$')),
        'machineType': And(str, And(is_valid_machine_type, error='Invalid instance type.')),
        Optional('gpu', default=None): {
            'type': str,
            Optional('count', default=1): int,
        },
        Optional('onDemandInstance', default=False): bool,
        Optional('imageName', default=None): And(str, len, Regex(r'^[\w-]+$')),
        Optional('imageUrl', default=None): And(str, len, Regex(IMAGE_URL_REGEX)),
        Optional('bootDiskSize', default=0): And(Or(int, str), Use(str),
                                                 Regex(r'^\d+$', error='Incorrect value for "bootDiskSize".'),
                                                 Use(int),
                                                 And(lambda x: x > 0,
                                                     error='"rootVolumeSize" should be greater than 0 or should '
                                                           'not be specified.'),
                                                 ),
    }

    instance_checks = [
        And(lambda x: not x['gpu'] or is_gpu_machine_type(x['machineType']),
            error='GPU cannot be attached to shared-core or memory-optimized machine types.'),
        And(lambda x: not (x['imageName'] and x['imageUrl']),
            error='"imageName" and "imageUrl" parameters cannot be used together.'),
    ]

    schema = get_instance_parameters_schema(instance_parameters, VOLUME_TYPE_DISK, instance_checks, [])

    return validate_config(schema, params) 

# 需要导入模块: import schema [as 别名]
# 或者: from schema import Regex [as 别名]
def get_instance_parameters_schema(instance_parameters: dict, default_volume_type: str,
                                   instance_checks: list = None, volumes_checks: list = None):
    if not instance_checks:
        instance_checks = []

    if not volumes_checks:
        volumes_checks = []

    schema = Schema(And(
        {
            **instance_parameters,
            Optional('dockerDataRoot', default=''): And(
                str,
                And(os.path.isabs, error='Use an absolute path when specifying a Docker data root directory'),
                Use(lambda x: x.rstrip('/')),
            ),
            Optional('volumes', default=[]): And(
                [{
                    'name': And(Or(int, str), Use(str), Regex(r'^[\w-]+$')),
                    Optional('type', default=default_volume_type): str,
                    Optional('parameters', default={}): {
                        Optional('mountDir', default=''): And(
                            str,
                            And(os.path.isabs, error='Use absolute paths for mount directories'),
                            Use(lambda x: x.rstrip('/'))
                        ),
                        And(str, Regex(r'^[\w]+$')): object,
                    },
                }],
                And(lambda x: is_unique_value(x, 'name'), error='Each instance volume must have a unique name.'),
                And(lambda x: not has_prefix([(volume['parameters']['mountDir'] + '/') for volume in x
                                              if volume['parameters']['mountDir']]),
                    error='Mount directories cannot be prefixes for each other.'),
                *volumes_checks,
            ),
            Optional('localSshPort', default=None): Or(None, And(int, lambda x: 0 <= x <= 65535)),
            Optional('commands', default=''): str,
        },
        And(lambda x: not x['dockerDataRoot'] or any([True for v in x['volumes'] if v['parameters']['mountDir'] and
                                                      is_subdir(x['dockerDataRoot'], v['parameters']['mountDir'])]),
            error='The "mountDir" of one of the volumes must be a prefix for the "dockerDataRoot" path.'),
        *instance_checks
    ))

    return schema 

# 需要导入模块: import schema [as 别名]
# 或者: from schema import Regex [as 别名]
def validate_check_config(check_config):

    class PrettyReprAnd(schema.And):

        def __repr__(self):
            return self._error

    check_name = PrettyReprAnd(
        str,
        lambda val: len(val) > 0,
        lambda val: not any(w in val for w in string.whitespace),
        error='Check name must be a nonzero length string with no whitespace')

    timeout_units = ['ns', 'us', 'µs', 'ms', 's', 'm', 'h']
    timeout = schema.Regex(
        r'^\d+(\.\d+)?({})$'.format('|'.join(timeout_units)),
        error='Timeout must be a string containing an integer or float followed by a unit: {}'.format(
            ', '.join(timeout_units)))

    check_config_schema = schema.Schema({
        schema.Optional('cluster_checks'): {
            check_name: {
                'description': str,
                'cmd': [str],
                'timeout': timeout,
            },
        },
        schema.Optional('node_checks'): {
            'checks': {
                check_name: {
                    'description': str,
                    'cmd': [str],
                    'timeout': timeout,
                    schema.Optional('roles'): schema.Schema(
                        ['master', 'agent'],
                        error='roles must be a list containing master or agent or both',
                    ),
                },
            },
            schema.Optional('prestart'): [check_name],
            schema.Optional('poststart'): [check_name],
        },
    })

    check_config_obj = validate_json_dictionary(check_config)
    try:
        check_config_schema.validate(check_config_obj)
    except schema.SchemaError as exc:
        raise AssertionError(str(exc).replace('\n', ' ')) from exc

    if 'node_checks' in check_config_obj.keys():
        node_checks = check_config_obj['node_checks']
        assert any(k in node_checks.keys() for k in ['prestart', 'poststart']), (
            'At least one of prestart or poststart must be defined in node_checks')
        assert node_checks['checks'].keys() == set(
            node_checks.get('prestart', []) + node_checks.get('poststart', [])), (
            'All node checks must be referenced in either prestart or poststart, or both')

    return check_config_obj 

# 需要导入模块: import schema [as 别名]
# 或者: from schema import Regex [as 别名]
def query_top_spreaders():
    """Handle API request '/top-user'.

    API Request Parameters
    ----------------------
        upper_day : string formatted datetime
        most_recent : bool

    API Response Keys
    -----------------
        status : string
        num_of_entries : int
        spreaders : dict
            bot_score : float
            number_of_tweets : int
            site_type : {'claim', 'fact_checking'}
            spreading_type : {'active', 'influencial'}
            upper_day : string formatted datetime
            user_id : int
            user_raw_id : string
            user_screen_name : string

    """
    lucene.getVMEnv().attachCurrentThread()
    yesterday = datetime.utcnow().date() - timedelta(days=1)
    yesterday = yesterday.strftime('%Y-%m-%d')

    q_top_spreaders_schema = Schema({
        Optional('upper_day', default=yesterday):
        And(Regex('^\d{4}-\d{2}-\d{2}$'),
            Use(dateutil.parser.parse),
            error='Invalid date, should be yyyy-mm-dd format'),
        Optional('most_recent', default=True):
        And(str,
            Use(lambda s: s.lower()), lambda s: s in ('true', 'false'),
            Use(lambda s: True if s == 'true' else False)),
    })
    q_kwargs = copy_req_args(request.args)
    try:
        q_kwargs = q_top_spreaders_schema.validate(q_kwargs)
        df = db_query_top_spreaders(engine, **q_kwargs)
        if len(df) == 0:
            raise APINoResultError('No top spreader found!')
        response = dict(
            status='OK',
            num_of_entries=len(df),
            spreaders=flask.json.loads(df.to_json(**TO_JSON_KWARGS)))
    except SchemaError as e:
        response = dict(status='ERROR', error=str(e))
    except APINoResultError as e:
        response = dict(status='No result error', error=str(e))
    except Exception as e:
        logger.exception(e)
        response = dict(status='ERROR', error='Server error, query failed')
    return flask.jsonify(response) 

# 需要导入模块: import schema [as 别名]
# 或者: from schema import Regex [as 别名]
def query_top_articles():
    """Handle API request 'top-articles'

    API Request Parameters
    ----------------------
        upper_day : string formatted datetime
        most_recent : bool

    API Response Keys
    -----------------
        status : string
        num_of_entries : int
        articles : dict
            canonical_url : string
            date_captured : string formatted datetime
            number_of_tweets : int
            site_type : {'claim', 'fact_checking'}
            title : string
            upper_day : string formatted datetime
    """
    lucene.getVMEnv().attachCurrentThread()
    yesterday = datetime.utcnow().date() - timedelta(days=1)
    yesterday = yesterday.strftime('%Y-%m-%d')
    q_top_article_schema = Schema({
        Optional('upper_day', default=yesterday):
        And(Regex('^\d{4}-\d{2}-\d{2}$'),
            Use(dateutil.parser.parse),
            error='Invalid date, shoul be yyyy-mm-dd format'),
        Optional('most_recent', default=True):
        And(str,
            Use(lambda s: s.lower()), lambda s: s in ('true', 'false'),
            Use(lambda s: True if s == 'true' else False)),
        Optional('exclude_tags', default=[]):
        And(Use(eval), error='Invalid exclude_tags input format'),
    })
    q_kwargs = copy_req_args(request.args)
    try:
        q_kwargs = q_top_article_schema.validate(q_kwargs)
        df = db_query_top_articles(engine, **q_kwargs)
        if len(df) == 0:
            raise APINoResultError('No top article found!')
        response = dict(
            status='OK',
            num_of_entries=len(df),
            articles=flask.json.loads(df.to_json(**TO_JSON_KWARGS)))
    except SchemaError as e:
        response = dict(status='ERROR', error=str(e))
    except APINoResultError as e:
        response = dict(status='No result error', error=str(e))
    except Exception as e:
        logger.exception(e)
        response = dict(status='ERROR', error='Server error, query failed')
    return flask.jsonify(response)