mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-08-01 12:40:23 +08:00
289 lines
7.9 KiB
Python
289 lines
7.9 KiB
Python
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from openrouter.types import BaseModel, UNSET_SENTINEL, UnrecognizedStr
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from openrouter.utils import FieldMetadata, HeaderMetadata
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import pydantic
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from pydantic import model_serializer
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from typing import List, Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypedDict
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class GetAnalyticsMetaGlobalsTypedDict(TypedDict):
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http_referer: NotRequired[str]
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r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
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This is used to track API usage per application.
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"""
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x_open_router_title: NotRequired[str]
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r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
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"""
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x_open_router_categories: NotRequired[str]
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r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
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"""
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class GetAnalyticsMetaGlobals(BaseModel):
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http_referer: Annotated[
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Optional[str],
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pydantic.Field(alias="HTTP-Referer"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
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This is used to track API usage per application.
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"""
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x_open_router_title: Annotated[
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Optional[str],
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pydantic.Field(alias="X-OpenRouter-Title"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
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"""
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x_open_router_categories: Annotated[
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Optional[str],
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pydantic.Field(alias="X-OpenRouter-Categories"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
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"""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = set(
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["HTTP-Referer", "X-OpenRouter-Title", "X-OpenRouter-Categories"]
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)
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k, serialized.get(n))
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if val != UNSET_SENTINEL:
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if val is not None or k not in optional_fields:
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m[k] = val
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return m
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class GetAnalyticsMetaRequestTypedDict(TypedDict):
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http_referer: NotRequired[str]
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r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
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This is used to track API usage per application.
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"""
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x_open_router_title: NotRequired[str]
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r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
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"""
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x_open_router_categories: NotRequired[str]
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r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
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"""
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class GetAnalyticsMetaRequest(BaseModel):
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http_referer: Annotated[
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Optional[str],
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pydantic.Field(alias="HTTP-Referer"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
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This is used to track API usage per application.
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"""
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x_open_router_title: Annotated[
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Optional[str],
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pydantic.Field(alias="X-OpenRouter-Title"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.
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"""
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x_open_router_categories: Annotated[
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Optional[str],
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pydantic.Field(alias="X-OpenRouter-Categories"),
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FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
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] = None
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r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
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"""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = set(
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["HTTP-Referer", "X-OpenRouter-Title", "X-OpenRouter-Categories"]
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)
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k, serialized.get(n))
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if val != UNSET_SENTINEL:
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if val is not None or k not in optional_fields:
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m[k] = val
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return m
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class DimensionTypedDict(TypedDict):
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display_label: str
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r"""Human-readable label"""
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name: str
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r"""Dimension identifier used in query requests"""
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class Dimension(BaseModel):
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display_label: str
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r"""Human-readable label"""
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name: str
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r"""Dimension identifier used in query requests"""
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GranularityName = Union[
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Literal[
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"minute",
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"hour",
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"day",
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"week",
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"month",
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],
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UnrecognizedStr,
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]
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r"""Granularity identifier"""
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class GranularityTypedDict(TypedDict):
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display_label: str
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r"""Human-readable label"""
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name: GranularityName
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r"""Granularity identifier"""
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class Granularity(BaseModel):
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display_label: str
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r"""Human-readable label"""
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name: GranularityName
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r"""Granularity identifier"""
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DisplayFormat = Union[
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Literal[
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"number",
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"currency",
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"percent",
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"latency",
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"throughput",
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],
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UnrecognizedStr,
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]
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r"""How this metric value should be formatted for display (e.g. percent → multiply by 100 and append %, currency → prefix with $)"""
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class MetricTypedDict(TypedDict):
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display_format: DisplayFormat
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r"""How this metric value should be formatted for display (e.g. percent → multiply by 100 and append %, currency → prefix with $)"""
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display_label: str
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r"""Human-readable label"""
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is_rate: bool
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r"""Whether this metric is a rate/ratio (averaged, not summed)"""
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name: str
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r"""Metric identifier used in query requests"""
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class Metric(BaseModel):
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display_format: DisplayFormat
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r"""How this metric value should be formatted for display (e.g. percent → multiply by 100 and append %, currency → prefix with $)"""
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display_label: str
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r"""Human-readable label"""
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is_rate: bool
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r"""Whether this metric is a rate/ratio (averaged, not summed)"""
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name: str
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r"""Metric identifier used in query requests"""
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OperatorName = Union[
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Literal[
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"eq",
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"neq",
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"in",
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"not_in",
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"gt",
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"gte",
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"lt",
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"lte",
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],
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UnrecognizedStr,
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]
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r"""Operator identifier used in filter definitions"""
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ValueType = Union[
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Literal[
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"scalar",
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"array",
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],
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UnrecognizedStr,
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]
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r"""Whether the operator expects a single value or an array"""
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class OperatorTypedDict(TypedDict):
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name: OperatorName
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r"""Operator identifier used in filter definitions"""
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value_type: ValueType
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r"""Whether the operator expects a single value or an array"""
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class Operator(BaseModel):
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name: OperatorName
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r"""Operator identifier used in filter definitions"""
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value_type: ValueType
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r"""Whether the operator expects a single value or an array"""
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class GetAnalyticsMetaDataTypedDict(TypedDict):
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dimensions: List[DimensionTypedDict]
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granularities: List[GranularityTypedDict]
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metrics: List[MetricTypedDict]
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operators: List[OperatorTypedDict]
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class GetAnalyticsMetaData(BaseModel):
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dimensions: List[Dimension]
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granularities: List[Granularity]
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metrics: List[Metric]
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operators: List[Operator]
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class GetAnalyticsMetaResponseTypedDict(TypedDict):
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r"""Returns analytics query metadata"""
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data: GetAnalyticsMetaDataTypedDict
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class GetAnalyticsMetaResponse(BaseModel):
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r"""Returns analytics query metadata"""
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data: GetAnalyticsMetaData
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