mirror of
https://github.com/clearml/clearml-server
synced 2025-01-31 19:06:55 +00:00
119 lines
3.6 KiB
Python
119 lines
3.6 KiB
Python
from enum import auto
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from typing import Sequence, Optional
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from jsonmodels import validators
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from jsonmodels.fields import StringField, BoolField
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from jsonmodels.models import Base
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from jsonmodels.validators import Length, Min, Max
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from apiserver.apimodels import ListField, IntField, ActualEnumField
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from apiserver.bll.event.event_common import EventType
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from apiserver.bll.event.scalar_key import ScalarKeyEnum
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from apiserver.config_repo import config
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from apiserver.utilities.stringenum import StringEnum
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class HistogramRequestBase(Base):
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samples: int = IntField(default=2000, validators=[Min(1), Max(6000)])
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key: ScalarKeyEnum = ActualEnumField(ScalarKeyEnum, default=ScalarKeyEnum.iter)
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class MetricVariants(Base):
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metric: str = StringField(required=True)
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variants: Sequence[str] = ListField(items_types=str)
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class ScalarMetricsIterHistogramRequest(HistogramRequestBase):
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task: str = StringField(required=True)
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metrics: Sequence[MetricVariants] = ListField(items_types=MetricVariants)
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class MultiTaskScalarMetricsIterHistogramRequest(HistogramRequestBase):
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tasks: Sequence[str] = ListField(
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items_types=str,
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validators=[
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Length(
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minimum_value=1,
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maximum_value=config.get(
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"services.tasks.multi_task_histogram_limit", 10
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),
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)
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],
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)
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class TaskMetric(Base):
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task: str = StringField(required=True)
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metric: str = StringField(default=None)
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variants: Sequence[str] = ListField(items_types=str)
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class DebugImagesRequest(Base):
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metrics: Sequence[TaskMetric] = ListField(
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items_types=TaskMetric, validators=[Length(minimum_value=1)]
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)
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iters: int = IntField(default=1, validators=validators.Min(1))
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navigate_earlier: bool = BoolField(default=True)
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refresh: bool = BoolField(default=False)
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scroll_id: str = StringField()
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class TaskMetricVariant(Base):
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task: str = StringField(required=True)
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metric: str = StringField(required=True)
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variant: str = StringField(required=True)
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class GetDebugImageSampleRequest(TaskMetricVariant):
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iteration: Optional[int] = IntField()
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refresh: bool = BoolField(default=False)
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scroll_id: Optional[str] = StringField()
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class NextDebugImageSampleRequest(Base):
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task: str = StringField(required=True)
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scroll_id: Optional[str] = StringField()
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navigate_earlier: bool = BoolField(default=True)
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class LogOrderEnum(StringEnum):
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asc = auto()
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desc = auto()
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class LogEventsRequest(Base):
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task: str = StringField(required=True)
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batch_size: int = IntField(default=500)
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navigate_earlier: bool = BoolField(default=True)
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from_timestamp: Optional[int] = IntField()
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order: Optional[str] = ActualEnumField(LogOrderEnum)
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class IterationEvents(Base):
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iter: int = IntField()
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events: Sequence[dict] = ListField(items_types=dict)
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class MetricEvents(Base):
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task: str = StringField()
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iterations: Sequence[IterationEvents] = ListField(items_types=IterationEvents)
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class DebugImageResponse(Base):
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metrics: Sequence[MetricEvents] = ListField(items_types=MetricEvents)
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scroll_id: str = StringField()
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class TaskMetricsRequest(Base):
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tasks: Sequence[str] = ListField(
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items_types=str, validators=[Length(minimum_value=1)]
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)
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event_type: EventType = ActualEnumField(EventType, required=True)
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class TaskPlotsRequest(Base):
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task: str = StringField(required=True)
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iters: int = IntField(default=1)
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scroll_id: str = StringField()
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metrics: Sequence[MetricVariants] = ListField(items_types=MetricVariants)
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