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How to use _filter method in localstack

Best Python code snippet using localstack_python

managers.py

Source:managers.py

...126        elif _filter.type == 'Datetime':127            _filter.value = datetime.strptime(_filter.value, DATETIME_FORMAT)128        elif _filter.type == 'Boolean':129            _filter.value = cast_bool_from_str(_filter.value)130def add_result_filter(field_name, _filter, filter_expressions, project):131    from django.db.models.expressions import RawSQL132    from tasks.models import Annotation, Prediction133    # new approach with contain instead of icontains134    if flag_set('ff_back_2214_annotation_result_12052022_short', project.organization.created_by):135        _class = Annotation if field_name == 'annotations_results' else Prediction136        subquery = Exists(137            _class.objects138            .annotate(json_str=RawSQL('cast(result as text)', ''))139            .filter(Q(task=OuterRef('pk')) & Q(json_str__contains=_filter.value))140        )141        if _filter.operator in [Operator.EQUAL, Operator.NOT_EQUAL]:142            try:143                value = json.loads(_filter.value)144            except:145                return 'exit'146            q = Exists(_class.objects.filter(Q(task=OuterRef('pk')) & Q(result=value)))147            filter_expressions.append(q if _filter.operator == Operator.EQUAL else ~q)148            return 'continue'149        elif _filter.operator == Operator.CONTAINS:150            filter_expressions.append(Q(subquery))151            return 'continue'152        elif _filter.operator == Operator.NOT_CONTAINS:153            filter_expressions.append(~Q(subquery))154            return 'continue'155    # old approach156    else:157        name = 'annotations__result' if field_name == 'annotations_results' else 'predictions__result'158        if _filter.operator in [Operator.EQUAL, Operator.NOT_EQUAL]:159            try:160                value = json.loads(_filter.value)161            except:162                return 'exit'163            q = Q(**{name: value})164            filter_expressions.append(q if _filter.operator == Operator.EQUAL else ~q)165            return 'continue'166        elif _filter.operator == Operator.CONTAINS:167            filter_expressions.append(Q(**{name + '__icontains': _filter.value}))168            return 'continue'169        elif _filter.operator == Operator.NOT_CONTAINS:170            filter_expressions.append(~Q(**{name + '__icontains': _filter.value}))171            return 'continue'172def add_user_filter(enabled, key, _filter, filter_expressions):173    if enabled and _filter.operator == Operator.CONTAINS:174        filter_expressions.append(Q(**{key: int(_filter.value)}))175        return 'continue'176    elif enabled and _filter.operator == Operator.NOT_CONTAINS:177        filter_expressions.append(~Q(**{key: int(_filter.value)}))178        return 'continue'179    elif enabled and _filter.operator == Operator.EMPTY:180        value = cast_bool_from_str(_filter.value)181        filter_expressions.append(Q(**{key+'__isnull': value}))182        return 'continue'183def apply_filters(queryset, filters, project):184    if not filters:185        return queryset186    # convert conjunction to orm statement187    filter_expressions = []188    custom_filter_expressions = load_func(settings.DATA_MANAGER_CUSTOM_FILTER_EXPRESSIONS)189    for _filter in filters.items:190        # we can also have annotations filters191        if not _filter.filter.startswith("filter:tasks:") or _filter.value is None:192            continue193        # django orm loop expression attached to column name194        preprocess_field_name = load_func(settings.PREPROCESS_FIELD_NAME)195        field_name, _ = preprocess_field_name(_filter.filter, project.only_undefined_field)196        # filter preprocessing, value type conversion, etc..197        preprocess_filter = load_func(settings.DATA_MANAGER_PREPROCESS_FILTER)198        _filter = preprocess_filter(_filter, field_name)199        # custom expressions for enterprise200        filter_expression = custom_filter_expressions(_filter, field_name, project)201        if filter_expression:202            filter_expressions.append(filter_expression)203            continue204        # annotators205        result = add_user_filter(field_name == 'annotators', 'annotations__completed_by', _filter, filter_expressions)206        if result == 'continue':207            continue208        # updated_by209        result = add_user_filter(field_name == 'updated_by', 'updated_by', _filter, filter_expressions)210        if result == 'continue':211            continue212        # annotations results & predictions results213        if field_name in ['annotations_results', 'predictions_results']:214            result = add_result_filter(field_name, _filter, filter_expressions, project)215            if result == 'exit':216                return queryset.none()217            elif result == 'continue':218                continue219        # annotation ids220        if field_name == 'annotations_ids':221            field_name = 'annotations__id'222            if 'contains' in _filter.operator:223                # convert string like "1 2,3" => [1,2,3]224                _filter.value = [int(value)225                                 for value in re.split(',|;| ', _filter.value)226                                 if value and value.isdigit()]227                _filter.operator = 'in_list' if _filter.operator == 'contains' else 'not_in_list'228            elif 'equal' in _filter.operator:...

person.py

Source:person.py

1import json2from datetime import timedelta3from typing import Dict, List, Optional, Tuple4from dateutil.relativedelta import relativedelta5from django.utils import timezone6from posthog.constants import NON_TIME_SERIES_DISPLAY_TYPES, TRENDS_CUMULATIVE, PropertyOperatorType7from posthog.models.cohort import Cohort8from posthog.models.entity import Entity9from posthog.models.filters import Filter10from posthog.models.filters.mixins.utils import cached_property11from posthog.models.person.sql import GET_ACTORS_FROM_EVENT_QUERY12from posthog.models.property import Property13from posthog.models.team import Team14from posthog.queries.actor_base_query import ActorBaseQuery15from posthog.queries.trends.trend_event_query import TrendsEventQuery16def _handle_date_interval(filter: Filter) -> Filter:17    # adhoc date handling. parsed differently with django orm18    date_from = filter.date_from or timezone.now()19    data: Dict = {}20    if filter.interval == "month":21        data.update({"date_to": (date_from + relativedelta(months=1) - timedelta(days=1)).strftime("%Y-%m-%d")})22    elif filter.interval == "week":23        data.update({"date_to": (date_from + relativedelta(weeks=1) - timedelta(days=1)).strftime("%Y-%m-%d")})24    elif filter.interval == "day":25        data.update({"date_to": (date_from).strftime("%Y-%m-%d 23:59:59")})26    elif filter.interval == "hour":27        data.update({"date_to": date_from + timedelta(hours=1)})28    return filter.with_data(data)29class TrendsActors(ActorBaseQuery):30    entity: Entity31    _filter: Filter32    def __init__(self, team: Team, entity: Optional[Entity], filter: Filter, **kwargs):33        if not entity:34            raise ValueError("Entity is required")35        if filter.display != TRENDS_CUMULATIVE and filter.display not in NON_TIME_SERIES_DISPLAY_TYPES:36            filter = _handle_date_interval(filter)37        super().__init__(team, filter, entity, **kwargs)38    @cached_property39    def aggregation_group_type_index(self):40        if self.entity.math == "unique_group":41            return self.entity.math_group_type_index42        return None43    def actor_query(self, limit_actors: Optional[bool] = True) -> Tuple[str, Dict]:44        if self._filter.breakdown_type == "cohort" and self._filter.breakdown_value != "all":45            cohort = Cohort.objects.get(pk=self._filter.breakdown_value, team_id=self._team.pk)46            self._filter = self._filter.with_data(47                {48                    "properties": self._filter.property_groups.combine_properties(49                        PropertyOperatorType.AND, [Property(key="id", value=cohort.pk, type="cohort")]50                    ).to_dict()51                }52            )53        elif (54            self._filter.breakdown_type55            and isinstance(self._filter.breakdown, str)56            and isinstance(self._filter.breakdown_value, str)57        ):58            if self._filter.using_histogram:59                lower_bound, upper_bound = json.loads(self._filter.breakdown_value)60                breakdown_props = [61                    Property(62                        key=self._filter.breakdown,63                        value=lower_bound,64                        operator="gte",65                        type=self._filter.breakdown_type,66                        group_type_index=self._filter.breakdown_group_type_index67                        if self._filter.breakdown_type == "group"68                        else None,69                    ),70                    Property(71                        key=self._filter.breakdown,72                        value=upper_bound,73                        operator="lt",74                        type=self._filter.breakdown_type,75                        group_type_index=self._filter.breakdown_group_type_index76                        if self._filter.breakdown_type == "group"77                        else None,78                    ),79                ]80            else:81                breakdown_props = [82                    Property(83                        key=self._filter.breakdown,84                        value=self._filter.breakdown_value,85                        type=self._filter.breakdown_type,86                        group_type_index=self._filter.breakdown_group_type_index87                        if self._filter.breakdown_type == "group"88                        else None,89                    )90                ]91            self._filter = self._filter.with_data(92                {93                    "properties": self._filter.property_groups.combine_properties(94                        PropertyOperatorType.AND, breakdown_props95                    ).to_dict()96                }97            )98        extra_fields: List[str] = ["distinct_id", "team_id"] if not self.is_aggregating_by_groups else []99        if self._filter.include_recordings:100            extra_fields += ["uuid"]101        events_query, params = TrendsEventQuery(102            filter=self._filter,103            team=self._team,104            entity=self.entity,105            should_join_distinct_ids=not self.is_aggregating_by_groups106            and not self._team.actor_on_events_querying_enabled,107            # TODO: this fails on sessions because `$session_id` also comes from the event query, causing ambiguity :$108            extra_event_properties=["$window_id", "$session_id"] if self._filter.include_recordings else [],109            extra_fields=extra_fields,110            using_person_on_events=self._team.actor_on_events_querying_enabled,111        ).get_query()112        matching_events_select_statement = (113            ", groupUniqArray(10)((timestamp, uuid, $session_id, $window_id)) as matching_events"114            if self._filter.include_recordings115            else ""116        )117        return (118            GET_ACTORS_FROM_EVENT_QUERY.format(119                id_field=self._aggregation_actor_field,120                matching_events_select_statement=matching_events_select_statement,121                events_query=events_query,122                limit="LIMIT %(limit)s" if limit_actors else "",123                offset="OFFSET %(offset)s" if limit_actors else "",124            ),125            {**params, "offset": self._filter.offset, "limit": 200},126        )127    @cached_property128    def _aggregation_actor_field(self) -> str:129        if self.is_aggregating_by_groups:130            group_type_index = self.entity.math_group_type_index131            return f"$group_{group_type_index}"132        else:...

PathNamesDenoised.py

Source:PathNamesDenoised.py

1from util import PROJECT_PATH,SEGMENTED2IMAGE_NUMBER = "1"  # 1, 2, 3, 43FILE_EXTENSION = ".png"4DENOISED_FOLDER = "\\images\\denoised\\denoised_image" + IMAGE_NUMBER + "\\"5CHOSEN_FILTER = "nl_means" # bilateral, gaussian, median, tv, wavelet, fourier_butterworthLP, fourier_idealLP, fourier_gaussianLP6DEFAULT_IMAGE = PROJECT_PATH + "\\images\\default_image" +IMAGE_NUMBER + FILE_EXTENSION7GAUSSIAN_LOW = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\gaussian\\gaussian_low_" + CHOSEN_FILTER + FILE_EXTENSION8GAUSSIAN_MODERATE = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\gaussian\\gaussian_moderate_" + CHOSEN_FILTER + FILE_EXTENSION9GAUSSIAN_HIGH = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\gaussian\\gaussian_high_" + CHOSEN_FILTER + FILE_EXTENSION10LAPLACIAN_LOW = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\laplacian\\laplacian_low_" + CHOSEN_FILTER + FILE_EXTENSION11LAPLACIAN_MODERATE = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\laplacian\\laplacian_moderate_" + CHOSEN_FILTER + FILE_EXTENSION12LAPLACIAN_HIGH = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\laplacian\\laplacian_high_" + CHOSEN_FILTER + FILE_EXTENSION13POISSON_LOW = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\poisson\\poisson_low_" + CHOSEN_FILTER + FILE_EXTENSION14POISSON_MODERATE = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\poisson\\poisson_moderate_" + CHOSEN_FILTER + FILE_EXTENSION15POISSON_HIGH = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\poisson\\poisson_high_" + CHOSEN_FILTER + FILE_EXTENSION16SPECKLE_LOW = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\speckle\\speckle_low_" + CHOSEN_FILTER + FILE_EXTENSION17SPECKLE_MODERATE = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\speckle\\speckle_moderate_" + CHOSEN_FILTER + FILE_EXTENSION18SPECKLE_HIGH = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\speckle\\speckle_high_" + CHOSEN_FILTER + FILE_EXTENSION19UNIFORM_LOW = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\uniform\\uniform_low_" + CHOSEN_FILTER + FILE_EXTENSION20UNIFORM_MODERATE = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\uniform\\uniform_moderate_" + CHOSEN_FILTER + FILE_EXTENSION21UNIFORM_HIGH = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\uniform\\uniform_high_" + CHOSEN_FILTER + FILE_EXTENSION22PEPPER_LOW = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\pepper\\pepper_low_" + CHOSEN_FILTER + FILE_EXTENSION23PEPPER_MODERATE = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\pepper\\pepper_moderate_" + CHOSEN_FILTER + FILE_EXTENSION24PEPPER_HIGH = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\pepper\\pepper_high_" + CHOSEN_FILTER + FILE_EXTENSION25SALT_LOW = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\salt\\salt_low_" + CHOSEN_FILTER + FILE_EXTENSION26SALT_MODERATE = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\salt\\salt_moderate_" + CHOSEN_FILTER + FILE_EXTENSION27SALT_HIGH = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\salt\\salt_high_" + CHOSEN_FILTER + FILE_EXTENSION28SP_LOW = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\salt&pepper\\salt&pepper_low_" + CHOSEN_FILTER + FILE_EXTENSION29SP_MODERATE = PROJECT_PATH + DENOISED_FOLDER + CHOSEN_FILTER + "_filter\\salt&pepper\\salt&pepper_moderate_" + CHOSEN_FILTER + FILE_EXTENSION...

filter_constructor.py

Source:filter_constructor.py

1def get_filter(**kwargs):2    import sys3    from collections import namedtuple4    from .exceptions import FilterKeywordError5    from .filter_api import recognized_kw, incompatible_pairs6    _filter = namedtuple('_filter',7                         ['from_is_re',8                          'from_string',9                          'skip_above',10                          'skip_below',11                          'ignore_sign',12                          'ignore_order',13                          'mask',14                          'num_lines',15                          'to_is_re',...

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