94 lines
2.0 KiB
Python
94 lines
2.0 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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class TradeContextResponse(BaseModel):
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requested_date: str
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actual_date: str | None
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previous_date: str | None
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observed_at: datetime | None
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state: str | None
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carried_forward: bool
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message: str
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class MarketSummaryResponse(BaseModel):
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context: TradeContextResponse
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values: dict[str, Any] | None
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class SearchResultResponse(BaseModel):
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entity_type: Literal["stock", "sector", "theme", "index"]
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identifier: str
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code: str
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name: str
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sector: str | None
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class SearchGroupResponse(BaseModel):
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entity_type: Literal["stock", "sector", "theme", "index"]
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label: str
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items: list[SearchResultResponse]
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class SearchResponse(BaseModel):
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query: str
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groups: list[SearchGroupResponse]
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class ChartPointResponse(BaseModel):
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time: str
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open: float
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high: float
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low: float
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close: float
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volume: float
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amount: float
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average: float | None
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class ChartResponse(BaseModel):
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entity_type: str
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identifier: str
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code: str
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name: str
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interval: Literal["day", "minute"]
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trade_date: str
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observed_at: datetime
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previous_close: float | None
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range_start: str | None
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range_end: str | None
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points: list[ChartPointResponse]
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class ReferenceSyncResponse(BaseModel):
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calendar_days: int = Field(ge=1)
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entities: int = Field(ge=1)
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observed_at: datetime
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class SnapshotSyncResponse(BaseModel):
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trade_date: str
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observed_at: datetime
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coverage: float
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stocks: int
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limit_up: int
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limit_down: int
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broken: int
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temperature: int
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class MarketWorkspaceResponse(BaseModel):
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trade_date: str | None
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observed_at: datetime | None = None
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carried_forward: bool = False
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message: str = ""
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overview: dict[str, Any] = Field(default_factory=dict)
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sentiment: dict[str, Any] | None = None
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history: list[dict[str, Any]] | None = None
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items: list[dict[str, Any]] | None = None
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