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266 lines
8.0 KiB
Python
266 lines
8.0 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 datetime import datetime
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from openrouter.types import BaseModel, UnrecognizedStr
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from openrouter.utils import (
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FieldMetadata,
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HeaderMetadata,
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RequestMetadata,
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validate_open_enum,
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)
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import pydantic
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from pydantic.functional_validators import PlainValidator
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from typing import List, Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
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class QueryAnalyticsGlobalsTypedDict(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 QueryAnalyticsGlobals(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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Value2TypedDict = TypeAliasType("Value2TypedDict", Union[str, float])
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Value2 = TypeAliasType("Value2", Union[str, float])
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Value1TypedDict = TypeAliasType(
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"Value1TypedDict", Union[str, float, List[Value2TypedDict]]
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)
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r"""Filter value (scalar or array depending on operator)"""
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Value1 = TypeAliasType("Value1", Union[str, float, List[Value2]])
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r"""Filter value (scalar or array depending on operator)"""
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class FilterTypedDict(TypedDict):
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field: str
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r"""Dimension to filter on"""
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operator: str
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r"""Filter operator"""
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value: Value1TypedDict
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r"""Filter value (scalar or array depending on operator)"""
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class Filter(BaseModel):
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field: str
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r"""Dimension to filter on"""
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operator: str
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r"""Filter operator"""
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value: Value1
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r"""Filter value (scalar or array depending on operator)"""
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Direction = Union[
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Literal[
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"asc",
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"desc",
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],
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UnrecognizedStr,
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]
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class OrderByTypedDict(TypedDict):
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direction: Direction
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field: str
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r"""Field to order by"""
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class OrderBy(BaseModel):
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direction: Annotated[Direction, PlainValidator(validate_open_enum(False))]
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field: str
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r"""Field to order by"""
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class TimeRangeTypedDict(TypedDict):
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end: datetime
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start: datetime
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class TimeRange(BaseModel):
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end: datetime
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start: datetime
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class QueryAnalyticsRequestBodyTypedDict(TypedDict):
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metrics: List[str]
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dimensions: NotRequired[List[str]]
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filters: NotRequired[List[FilterTypedDict]]
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granularity: NotRequired[str]
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r"""Time granularity"""
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group_limit: NotRequired[int]
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r"""Maximum rows per distinct combination of dimensions (ClickHouse LIMIT n BY). When omitted on time-series queries (granularity + dimensions), auto-computed to avoid truncating time windows. Explicit values override the default and may truncate time buckets if set lower than the number of buckets in the range. Ignored when no dimensions are specified."""
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limit: NotRequired[int]
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r"""Maximum total rows returned. Defaults to 1000. On time-series queries with dimensions and no explicit group_limit, the server may raise this to accommodate the expected number of unique time-bucket/dimension combinations."""
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order_by: NotRequired[OrderByTypedDict]
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time_range: NotRequired[TimeRangeTypedDict]
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class QueryAnalyticsRequestBody(BaseModel):
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metrics: List[str]
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dimensions: Optional[List[str]] = None
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filters: Optional[List[Filter]] = None
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granularity: Optional[str] = None
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r"""Time granularity"""
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group_limit: Optional[int] = None
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r"""Maximum rows per distinct combination of dimensions (ClickHouse LIMIT n BY). When omitted on time-series queries (granularity + dimensions), auto-computed to avoid truncating time windows. Explicit values override the default and may truncate time buckets if set lower than the number of buckets in the range. Ignored when no dimensions are specified."""
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limit: Optional[int] = None
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r"""Maximum total rows returned. Defaults to 1000. On time-series queries with dimensions and no explicit group_limit, the server may raise this to accommodate the expected number of unique time-bucket/dimension combinations."""
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order_by: Optional[OrderBy] = None
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time_range: Optional[TimeRange] = None
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class QueryAnalyticsRequestTypedDict(TypedDict):
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request_body: QueryAnalyticsRequestBodyTypedDict
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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 QueryAnalyticsRequest(BaseModel):
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request_body: Annotated[
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QueryAnalyticsRequestBody,
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FieldMetadata(request=RequestMetadata(media_type="application/json")),
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]
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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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class QueryAnalyticsData1TypedDict(TypedDict):
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r"""A row of analytics data with metric/dimension values"""
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class QueryAnalyticsData1(BaseModel):
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r"""A row of analytics data with metric/dimension values"""
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class MetadataTypedDict(TypedDict):
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query_time_ms: float
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row_count: int
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truncated: bool
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class Metadata(BaseModel):
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query_time_ms: float
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row_count: int
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truncated: bool
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class QueryAnalyticsData2TypedDict(TypedDict):
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data: List[QueryAnalyticsData1TypedDict]
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metadata: MetadataTypedDict
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cached_at: NotRequired[float]
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class QueryAnalyticsData2(BaseModel):
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data: List[QueryAnalyticsData1]
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metadata: Metadata
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cached_at: Annotated[Optional[float], pydantic.Field(alias="cachedAt")] = None
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class QueryAnalyticsResponseTypedDict(TypedDict):
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r"""Analytics query results"""
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data: QueryAnalyticsData2TypedDict
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class QueryAnalyticsResponse(BaseModel):
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r"""Analytics query results"""
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data: QueryAnalyticsData2
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