Add support for events.scalar_metrics_iter_raw

apiserver/apimodels/events.py

@@ -2,7 +2,7 @@ from enum import auto
 from typing import Sequence, Optional
 
 from jsonmodels import validators
-from jsonmodels.fields import StringField, BoolField
+from jsonmodels.fields import StringField, BoolField, EmbeddedField
 from jsonmodels.models import Base
 from jsonmodels.validators import Length, Min, Max
 
@@ -81,14 +81,33 @@ class LogOrderEnum(StringEnum):
     desc = auto()
 
 
-class LogEventsRequest(Base):
+class TaskEventsRequestBase(Base):
     task: str = StringField(required=True)
     batch_size: int = IntField(default=500)
+
+
+class TaskEventsRequest(TaskEventsRequestBase):
+    metrics: Sequence[MetricVariants] = ListField(items_types=MetricVariants)
+    event_type: EventType = ActualEnumField(EventType, default=EventType.all)
+    order: Optional[str] = ActualEnumField(LogOrderEnum, default=LogOrderEnum.asc)
+    scroll_id: str = StringField()
+    count_total: bool = BoolField(default=True)
+
+
+class LogEventsRequest(TaskEventsRequestBase):
+    batch_size: int = IntField(default=5000)
     navigate_earlier: bool = BoolField(default=True)
     from_timestamp: Optional[int] = IntField()
     order: Optional[str] = ActualEnumField(LogOrderEnum)
 
 
+class ScalarMetricsIterRawRequest(TaskEventsRequestBase):
+    key: ScalarKeyEnum = ActualEnumField(ScalarKeyEnum, default=ScalarKeyEnum.iter)
+    metric: MetricVariants = EmbeddedField(MetricVariants, required=True)
+    count_total: bool = BoolField(default=False)
+    scroll_id: str = StringField()
+
+
 class IterationEvents(Base):
     iter: int = IntField()
     events: Sequence[dict] = ListField(items_types=dict)

apiserver/bll/event/event_bll.py

@@ -24,13 +24,13 @@ from apiserver.bll.event.event_common import (
     MetricVariants,
     get_metric_variants_condition,
 )
+from apiserver.bll.event.events_iterator import EventsIterator, TaskEventsResult
 from apiserver.bll.util import parallel_chunked_decorator
 from apiserver.database import utils as dbutils
 from apiserver.es_factory import es_factory
 from apiserver.apierrors import errors
 from apiserver.bll.event.debug_images_iterator import DebugImagesIterator
 from apiserver.bll.event.event_metrics import EventMetrics
-from apiserver.bll.event.log_events_iterator import LogEventsIterator, TaskEventsResult
 from apiserver.bll.task import TaskBLL
 from apiserver.config_repo import config
 from apiserver.database.errors import translate_errors_context
@@ -73,7 +73,7 @@ class EventBLL(object):
         self.redis = redis or redman.connection("apiserver")
         self.debug_images_iterator = DebugImagesIterator(es=self.es, redis=self.redis)
         self.debug_sample_history = DebugSampleHistory(es=self.es, redis=self.redis)
-        self.log_events_iterator = LogEventsIterator(es=self.es)
+        self.events_iterator = EventsIterator(es=self.es)
 
     @property
     def metrics(self) -> EventMetrics:

apiserver/bll/event/event_common.py

@@ -69,6 +69,13 @@ def delete_company_events(
     return es.delete_by_query(index=es_index, body=body, **kwargs)
 
 
+def count_company_events(
+    es: Elasticsearch, company_id: str, event_type: EventType, body: dict, **kwargs
+) -> dict:
+    es_index = get_index_name(company_id, event_type.value)
+    return es.count(index=es_index, body=body, **kwargs)
+
+
 def get_metric_variants_condition(
     metric_variants: MetricVariants,
 ) -> Sequence:

apiserver/bll/event/events_iterator.py

@@ -0,0 +1,205 @@
+from typing import Optional, Tuple, Sequence, Any
+
+import attr
+import jsonmodels.models
+import jwt
+from elasticsearch import Elasticsearch
+
+from apiserver.bll.event.event_common import (
+    check_empty_data,
+    search_company_events,
+    EventType,
+    MetricVariants,
+    get_metric_variants_condition,
+    count_company_events,
+)
+from apiserver.bll.event.scalar_key import ScalarKeyEnum, ScalarKey
+from apiserver.config_repo import config
+from apiserver.database.errors import translate_errors_context
+from apiserver.timing_context import TimingContext
+
+
+@attr.s(auto_attribs=True)
+class TaskEventsResult:
+    total_events: int = 0
+    next_scroll_id: str = None
+    events: list = attr.Factory(list)
+
+
+class EventsIterator:
+    def __init__(self, es: Elasticsearch):
+        self.es = es
+
+    def get_task_events(
+        self,
+        event_type: EventType,
+        company_id: str,
+        task_id: str,
+        batch_size: int,
+        navigate_earlier: bool = True,
+        from_key_value: Optional[Any] = None,
+        metric_variants: MetricVariants = None,
+        key: ScalarKeyEnum = ScalarKeyEnum.timestamp,
+        **kwargs,
+    ) -> TaskEventsResult:
+        if check_empty_data(self.es, company_id, event_type):
+            return TaskEventsResult()
+
+        from_key_value = kwargs.pop("from_timestamp", from_key_value)
+
+        res = TaskEventsResult()
+        res.events, res.total_events = self._get_events(
+            event_type=event_type,
+            company_id=company_id,
+            task_id=task_id,
+            batch_size=batch_size,
+            navigate_earlier=navigate_earlier,
+            from_key_value=from_key_value,
+            metric_variants=metric_variants,
+            key=ScalarKey.resolve(key),
+        )
+        return res
+
+    def count_task_events(
+        self,
+        event_type: EventType,
+        company_id: str,
+        task_id: str,
+        metric_variants: MetricVariants = None,
+    ) -> int:
+        query, _ = self._get_initial_query_and_must(task_id, metric_variants)
+        es_req = {
+            "query": query,
+        }
+
+        with translate_errors_context(), TimingContext("es", "count_task_events"):
+            es_result = count_company_events(
+                self.es,
+                company_id=company_id,
+                event_type=event_type,
+                body=es_req,
+                routing=task_id,
+            )
+
+            return es_result["count"]
+
+    def _get_events(
+        self,
+        event_type: EventType,
+        company_id: str,
+        task_id: str,
+        batch_size: int,
+        navigate_earlier: bool,
+        key: ScalarKey,
+        from_key_value: Optional[Any],
+        metric_variants: MetricVariants = None,
+    ) -> Tuple[Sequence[dict], int]:
+        """
+        Return up to 'batch size' events starting from the previous key-field value (timestamp or iter) either in the
+        direction of earlier events (navigate_earlier=True) or in the direction of later events.
+        If from_key_field is not set then start either from latest or earliest.
+        For the last key-field value all the events are brought (even if the resulting size exceeds batch_size)
+        so that events with this value will not be lost between the calls.
+        """
+        query, must = self._get_initial_query_and_must(task_id, metric_variants)
+
+        # retrieve the next batch of events
+        es_req = {
+            "size": batch_size,
+            "query": query,
+            "sort": {key.field: "desc" if navigate_earlier else "asc"},
+        }
+
+        if from_key_value:
+            es_req["search_after"] = [from_key_value]
+
+        with translate_errors_context(), TimingContext("es", "get_task_events"):
+            es_result = search_company_events(
+                self.es,
+                company_id=company_id,
+                event_type=event_type,
+                body=es_req,
+                routing=task_id,
+            )
+            hits = es_result["hits"]["hits"]
+            hits_total = es_result["hits"]["total"]["value"]
+            if not hits:
+                return [], hits_total
+
+            events = [hit["_source"] for hit in hits]
+
+            # retrieve the events that match the last event timestamp
+            # but did not make it into the previous call due to batch_size limitation
+            es_req = {
+                "size": 10000,
+                "query": {
+                    "bool": {
+                        "must": must + [{"term": {key.field: events[-1][key.field]}}]
+                    }
+                },
+            }
+            es_result = search_company_events(
+                self.es,
+                company_id=company_id,
+                event_type=event_type,
+                body=es_req,
+                routing=task_id,
+            )
+            last_second_hits = es_result["hits"]["hits"]
+            if not last_second_hits or len(last_second_hits) < 2:
+                # if only one element is returned for the last timestamp
+                # then it is already present in the events
+                return events, hits_total
+
+            already_present_ids = set(hit["_id"] for hit in hits)
+            last_second_events = [
+                hit["_source"]
+                for hit in last_second_hits
+                if hit["_id"] not in already_present_ids
+            ]
+
+            # return the list merged from original query results +
+            # leftovers from the last timestamp
+            return (
+                [*events, *last_second_events],
+                hits_total,
+            )
+
+    @staticmethod
+    def _get_initial_query_and_must(
+        task_id: str, metric_variants: MetricVariants = None
+    ) -> Tuple[dict, list]:
+        if not metric_variants:
+            must = [{"term": {"task": task_id}}]
+            query = {"term": {"task": task_id}}
+        else:
+            must = [
+                {"term": {"task": task_id}},
+                get_metric_variants_condition(metric_variants),
+            ]
+            query = {"bool": {"must": must}}
+        return query, must
+
+
+class Scroll(jsonmodels.models.Base):
+    def get_scroll_id(self) -> str:
+        return jwt.encode(
+            self.to_struct(),
+            key=config.get(
+                "services.events.events_retrieval.scroll_id_key", "1234567890"
+            ),
+        ).decode()
+
+    @classmethod
+    def from_scroll_id(cls, scroll_id: str):
+        try:
+            return cls(
+                **jwt.decode(
+                    scroll_id,
+                    key=config.get(
+                        "services.events.events_retrieval.scroll_id_key", "1234567890"
+                    ),
+                )
+            )
+        except jwt.PyJWTError:
+            raise ValueError("Invalid Scroll ID")

apiserver/bll/event/log_events_iterator.py

@@ -1,127 +0,0 @@
-from typing import Optional, Tuple, Sequence
-
-import attr
-from elasticsearch import Elasticsearch
-
-from apiserver.bll.event.event_common import (
-    check_empty_data,
-    search_company_events,
-    EventType,
-)
-from apiserver.database.errors import translate_errors_context
-from apiserver.timing_context import TimingContext
-
-
-@attr.s(auto_attribs=True)
-class TaskEventsResult:
-    total_events: int = 0
-    next_scroll_id: str = None
-    events: list = attr.Factory(list)
-
-
-class LogEventsIterator:
-    EVENT_TYPE = EventType.task_log
-
-    def __init__(self, es: Elasticsearch):
-        self.es = es
-
-    def get_task_events(
-        self,
-        company_id: str,
-        task_id: str,
-        batch_size: int,
-        navigate_earlier: bool = True,
-        from_timestamp: Optional[int] = None,
-    ) -> TaskEventsResult:
-        if check_empty_data(self.es, company_id, self.EVENT_TYPE):
-            return TaskEventsResult()
-
-        res = TaskEventsResult()
-        res.events, res.total_events = self._get_events(
-            company_id=company_id,
-            task_id=task_id,
-            batch_size=batch_size,
-            navigate_earlier=navigate_earlier,
-            from_timestamp=from_timestamp,
-        )
-        return res
-
-    def _get_events(
-        self,
-        company_id: str,
-        task_id: str,
-        batch_size: int,
-        navigate_earlier: bool,
-        from_timestamp: Optional[int],
-    ) -> Tuple[Sequence[dict], int]:
-        """
-        Return up to 'batch size' events starting from the previous timestamp either in the
-        direction of earlier events (navigate_earlier=True) or in the direction of later events.
-        If last_min_timestamp and last_max_timestamp are not set then start either from latest or earliest.
-        For the last timestamp all the events are brought (even if the resulting size
-        exceeds batch_size) so that this timestamp events will not be lost between the calls.
-        In case any events were received update 'last_min_timestamp' and 'last_max_timestamp'
-        """
-
-        # retrieve the next batch of events
-        es_req = {
-            "size": batch_size,
-            "query": {"term": {"task": task_id}},
-            "sort": {"timestamp": "desc" if navigate_earlier else "asc"},
-        }
-
-        if from_timestamp:
-            es_req["search_after"] = [from_timestamp]
-
-        with translate_errors_context(), TimingContext("es", "get_task_events"):
-            es_result = search_company_events(
-                self.es,
-                company_id=company_id,
-                event_type=self.EVENT_TYPE,
-                body=es_req,
-            )
-            hits = es_result["hits"]["hits"]
-            hits_total = es_result["hits"]["total"]["value"]
-            if not hits:
-                return [], hits_total
-
-            events = [hit["_source"] for hit in hits]
-
-            # retrieve the events that match the last event timestamp
-            # but did not make it into the previous call due to batch_size limitation
-            es_req = {
-                "size": 10000,
-                "query": {
-                    "bool": {
-                        "must": [
-                            {"term": {"task": task_id}},
-                            {"term": {"timestamp": events[-1]["timestamp"]}},
-                        ]
-                    }
-                },
-            }
-            es_result = search_company_events(
-                self.es,
-                company_id=company_id,
-                event_type=self.EVENT_TYPE,
-                body=es_req,
-            )
-            last_second_hits = es_result["hits"]["hits"]
-            if not last_second_hits or len(last_second_hits) < 2:
-                # if only one element is returned for the last timestamp
-                # then it is already present in the events
-                return events, hits_total
-
-            already_present_ids = set(hit["_id"] for hit in hits)
-            last_second_events = [
-                hit["_source"]
-                for hit in last_second_hits
-                if hit["_id"] not in already_present_ids
-            ]
-
-            # return the list merged from original query results +
-            # leftovers from the last timestamp
-            return (
-                [*events, *last_second_events],
-                hits_total,
-            )

apiserver/bll/event/scalar_key.py

@@ -4,6 +4,8 @@ Module for polymorphism over different types of X axes in scalar aggregations
 from abc import ABC, abstractmethod
 from enum import auto
 
+from typing import Any
+
 from apiserver.utilities import extract_properties_to_lists
 from apiserver.utilities.stringenum import StringEnum
 from apiserver.config_repo import config
@@ -96,6 +98,10 @@ class ScalarKey(ABC):
         """
         return int(iter_data[self.bucket_key_key]), iter_data["avg_val"]["value"]
 
+    def cast_value(self, value: Any) -> Any:
+        """Cast value to appropriate type"""
+        return value
+
 
 class TimestampKey(ScalarKey):
     """
@@ -117,6 +123,9 @@ class TimestampKey(ScalarKey):
             }
         }
 
+    def cast_value(self, value: Any) -> int:
+        return int(value)
+
 
 class IterKey(ScalarKey):
     """
@@ -134,6 +143,9 @@ class IterKey(ScalarKey):
             }
         }
 
+    def cast_value(self, value: Any) -> int:
+        return int(value)
+
 
 class ISOTimeKey(ScalarKey):
     """

apiserver/config/default/services/events.conf

@@ -17,6 +17,10 @@ events_retrieval {
 
     # the max amount of variants to aggregate on
     max_variants_count: 100
+
+    max_raw_scalars_size: 10000
+
+    scroll_id_key: "cTN5VEtWEC6QrHvUl0FTx9kNyO0CcCK1p57akxma"
 }
 
 # if set then plot str will be checked for the valid json on plot add

apiserver/schema/services/events.conf

@@ -1219,3 +1219,67 @@ get_scalar_metric_data {
         }
     }
 }
+scalar_metrics_iter_raw {
+    "999.0" {
+        description: "Get raw data for a specific metric variants in the task"
+        request {
+            type: object
+            required: [
+                task, metric
+            ]
+            properties {
+                task {
+                    type: string
+                    description: "Task ID"
+                }
+                metric {
+                    description: "Metric and variants for which to return data points"
+                    "$ref": "#/definitions/metric_variants"
+                }
+                key {
+                    description: """Array of x axis to return. Supported values:
+                    iter - iteration number
+                    timestamp - event timestamp as milliseconds since epoch
+                    """
+                    "$ref": "#/definitions/scalar_key_enum"
+                }
+                batch_size {
+                    description: "The number of data points to return for this call. Optional, the default value is 5000"
+                    type: integer
+                    default: 5000
+                }
+                count_total {
+                    description: "Count the total number of data points. If false, total number of data points is not counted and null is returned"
+                    type: boolean
+                    default: false
+                }
+                scroll_id {
+                    description: "Optional Scroll ID. Use to get more data points following a previous call"
+                    type: string
+                }
+            }
+        }
+        response {
+            type: object
+            properties {
+                variants {
+                    description: "Raw data points for each variant"
+                    type: object
+                    additionalProperties: true
+                }
+                total {
+                    description: "Total data points count. If count_total is false, null is returned"
+                    type: integer
+                }
+                returned {
+                    description: "Number of data points returned in this call. If 0 results were returned, no more results are avilable"
+                    type: integer
+                }
+                scroll_id {
+                    description: "Scroll ID. Use to get more data points when calling this endpoint again"
+                    type: string
+                }
+            }
+        }
+    }
+}

apiserver/services/events.py

@@ -1,9 +1,11 @@
 import itertools
 from collections import defaultdict
 from operator import itemgetter
+from typing import Sequence, Optional
 
 import attr
-from typing import Sequence, Optional
+import jsonmodels.fields
+from boltons.iterutils import bucketize
 
 from apiserver.apierrors import errors
 from apiserver.apimodels.events import (
@@ -20,12 +22,17 @@ from apiserver.apimodels.events import (
     NextDebugImageSampleRequest,
     MetricVariants as ApiMetrics,
     TaskPlotsRequest,
+    TaskEventsRequest,
+    ScalarMetricsIterRawRequest,
 )
 from apiserver.bll.event import EventBLL
 from apiserver.bll.event.event_common import EventType, MetricVariants
+from apiserver.bll.event.events_iterator import Scroll
+from apiserver.bll.event.scalar_key import ScalarKeyEnum, ScalarKey
 from apiserver.bll.task import TaskBLL
+from apiserver.config_repo import config
 from apiserver.service_repo import APICall, endpoint
-from apiserver.utilities import json
+from apiserver.utilities import json, extract_properties_to_lists
 
 task_bll = TaskBLL()
 event_bll = EventBLL()
@@ -39,7 +46,6 @@ def add(call: APICall, company_id, _):
         company_id, [data], call.worker, allow_locked_tasks=allow_locked
     )
     call.result.data = dict(added=added, errors=err_count, errors_info=err_info)
-    call.kpis["events"] = 1
 
 
 @endpoint("events.add_batch")
@@ -50,7 +56,6 @@ def add_batch(call: APICall, company_id, _):
 
     added, err_count, err_info = event_bll.add_events(company_id, events, call.worker)
     call.result.data = dict(added=added, errors=err_count, errors_info=err_info)
-    call.kpis["events"] = len(events)
 
 
 @endpoint("events.get_task_log", required_fields=["task"])
@@ -113,7 +118,8 @@ def get_task_log(call, company_id, request: LogEventsRequest):
         company_id, task_id, allow_public=True, only=("company", "company_origin")
     )[0]
 
-    res = event_bll.log_events_iterator.get_task_events(
+    res = event_bll.events_iterator.get_task_events(
+        event_type=EventType.task_log,
         company_id=task.get_index_company(),
         task_id=task_id,
         batch_size=request.batch_size,
@@ -258,31 +264,94 @@ def vector_metrics_iter_histogram(call, company_id, _):
     )
 
 
-@endpoint("events.get_task_events", required_fields=["task"])
-def get_task_events(call, company_id, _):
-    task_id = call.data["task"]
-    batch_size = call.data.get("batch_size", 500)
-    event_type = call.data.get("event_type")
-    scroll_id = call.data.get("scroll_id")
-    order = call.data.get("order") or "asc"
+class GetTaskEventsScroll(Scroll):
+    from_key_value = jsonmodels.fields.StringField()
+    total = jsonmodels.fields.IntField()
+    request: TaskEventsRequest = jsonmodels.fields.EmbeddedField(TaskEventsRequest)
+
+
+def make_response(
+    total: int, returned: int = 0, scroll_id: str = None, **kwargs
+) -> dict:
+    return {
+        "returned": returned,
+        "total": total,
+        "scroll_id": scroll_id,
+        **kwargs,
+    }
+
+
+@endpoint("events.get_task_events", request_data_model=TaskEventsRequest)
+def get_task_events(call, company_id, request: TaskEventsRequest):
+    task_id = request.task
 
     task = task_bll.assert_exists(
-        company_id, task_id, allow_public=True, only=("company", "company_origin")
+        company_id, task_id, allow_public=True, only=("company",),
     )[0]
-    result = event_bll.get_task_events(
-        task.get_index_company(),
-        task_id,
-        sort=[{"timestamp": {"order": order}}],
-        event_type=EventType(event_type) if event_type else EventType.all,
-        scroll_id=scroll_id,
-        size=batch_size,
+
+    key = ScalarKeyEnum.iter
+    scalar_key = ScalarKey.resolve(key)
+
+    if not request.scroll_id:
+        from_key_value = None if (request.order == LogOrderEnum.desc) else 0
+        total = None
+    else:
+        try:
+            scroll = GetTaskEventsScroll.from_scroll_id(request.scroll_id)
+        except ValueError:
+            raise errors.bad_request.InvalidScrollId(scroll_id=request.scroll_id)
+
+        if scroll.from_key_value is None:
+            return make_response(
+                scroll_id=request.scroll_id, total=scroll.total, events=[]
+            )
+
+        from_key_value = scalar_key.cast_value(scroll.from_key_value)
+        total = scroll.total
+
+        scroll.request.batch_size = request.batch_size or scroll.request.batch_size
+        request = scroll.request
+
+    navigate_earlier = request.order == LogOrderEnum.desc
+    metric_variants = _get_metric_variants_from_request(request.metrics)
+
+    if request.count_total and total is None:
+        total = event_bll.events_iterator.count_task_events(
+            event_type=request.event_type,
+            company_id=task.company,
+            task_id=task_id,
+            metric_variants=metric_variants,
+        )
+
+    batch_size = min(
+        request.batch_size,
+        int(
+            config.get("services.events.events_retrieval.max_raw_scalars_size", 10_000)
+        ),
     )
 
-    call.result.data = dict(
-        events=result.events,
-        returned=len(result.events),
-        total=result.total_events,
-        scroll_id=result.next_scroll_id,
+    res = event_bll.events_iterator.get_task_events(
+        event_type=request.event_type,
+        company_id=task.company,
+        task_id=task_id,
+        batch_size=batch_size,
+        key=ScalarKeyEnum.iter,
+        navigate_earlier=navigate_earlier,
+        from_key_value=from_key_value,
+        metric_variants=metric_variants,
+    )
+
+    scroll = GetTaskEventsScroll(
+        from_key_value=str(res.events[-1][scalar_key.field]) if res.events else None,
+        total=total,
+        request=request,
+    )
+
+    return make_response(
+        returned=len(res.events),
+        total=total,
+        scroll_id=scroll.get_scroll_id(),
+        events=res.events,
     )
 
 
@@ -759,3 +828,95 @@ def _get_top_iter_unique_events(events, max_iters):
     )
     unique_events.sort(key=lambda e: e["iter"], reverse=True)
     return unique_events
+
+
+class ScalarMetricsIterRawScroll(Scroll):
+    from_key_value = jsonmodels.fields.StringField()
+    total = jsonmodels.fields.IntField()
+    request: ScalarMetricsIterRawRequest = jsonmodels.fields.EmbeddedField(
+        ScalarMetricsIterRawRequest
+    )
+
+
+@endpoint("events.scalar_metrics_iter_raw", min_version="999.0")
+def scalar_metrics_iter_raw(
+    call: APICall, company_id: str, request: ScalarMetricsIterRawRequest
+):
+    key = request.key or ScalarKeyEnum.iter
+    scalar_key = ScalarKey.resolve(key)
+
+    if not request.scroll_id:
+        from_key_value = None
+        total = None
+    else:
+        try:
+            scroll = ScalarMetricsIterRawScroll.from_scroll_id(request.scroll_id)
+        except ValueError:
+            raise errors.bad_request.InvalidScrollId(scroll_id=request.scroll_id)
+
+        if scroll.from_key_value is None:
+            return make_response(
+                scroll_id=request.scroll_id, total=scroll.total, variants={}
+            )
+
+        from_key_value = scalar_key.cast_value(scroll.from_key_value)
+        total = scroll.total
+
+        scroll.request.batch_size = request.batch_size or scroll.request.batch_size
+        request = scroll.request
+
+    task_id = request.task
+
+    task = task_bll.assert_exists(
+        company_id, task_id, allow_public=True, only=("company",),
+    )[0]
+
+    metric_variants = _get_metric_variants_from_request([request.metric])
+
+    if request.count_total and total is None:
+        total = event_bll.events_iterator.count_task_events(
+            event_type=EventType.metrics_scalar,
+            company_id=task.company,
+            task_id=task_id,
+            metric_variants=metric_variants,
+        )
+
+    batch_size = min(
+        request.batch_size,
+        int(
+            config.get("services.events.events_retrieval.max_raw_scalars_size", 10_000)
+        ),
+    )
+
+    res = event_bll.events_iterator.get_task_events(
+        event_type=EventType.metrics_scalar,
+        company_id=task.company,
+        task_id=task_id,
+        batch_size=batch_size,
+        navigate_earlier=False,
+        from_key_value=from_key_value,
+        metric_variants=metric_variants,
+        key=key,
+    )
+
+    key = str(key)
+
+    variants = {
+        variant: extract_properties_to_lists(
+            ["value", scalar_key.field], events, target_keys=["y", key]
+        )
+        for variant, events in bucketize(res.events, key=itemgetter("variant")).items()
+    }
+
+    scroll = ScalarMetricsIterRawScroll(
+        from_key_value=str(res.events[-1][scalar_key.field]) if res.events else None,
+        total=total,
+        request=request,
+    )
+
+    return make_response(
+        returned=len(res.events),
+        total=total,
+        scroll_id=scroll.get_scroll_id(),
+        variants=variants,
+    )