Fundamental_Analysis/backend/app/schemas/financial.py

75 lines
1.7 KiB
Python

"""
Pydantic schemas for financial APIs
"""
from typing import Dict, List, Optional
from pydantic import BaseModel
class YearDataPoint(BaseModel):
year: str
value: Optional[float]
month: Optional[int] = None # 月份信息,用于确定季度
class StepRecord(BaseModel):
name: str
start_ts: str # ISO8601
end_ts: Optional[str] = None
duration_ms: Optional[int] = None
status: str # running|done|error
error: Optional[str] = None
class FinancialMeta(BaseModel):
started_at: str # ISO8601
finished_at: Optional[str] = None
elapsed_ms: Optional[int] = None
api_calls_total: int = 0
api_calls_by_group: Dict[str, int] = {}
current_action: Optional[str] = None
steps: List[StepRecord] = []
class BatchFinancialDataResponse(BaseModel):
ts_code: str
name: Optional[str] = None
series: Dict[str, List[YearDataPoint]]
meta: Optional[FinancialMeta] = None
class FinancialConfigResponse(BaseModel):
api_groups: Dict[str, List[dict]]
class TokenUsage(BaseModel):
prompt_tokens: int = 0
completion_tokens: int = 0
total_tokens: int = 0
class CompanyProfileResponse(BaseModel):
ts_code: str
company_name: Optional[str] = None
content: str
model: str
tokens: TokenUsage
elapsed_ms: int
success: bool = True
error: Optional[str] = None
class AnalysisResponse(BaseModel):
ts_code: str
company_name: Optional[str] = None
analysis_type: str
content: str
model: str
tokens: TokenUsage
elapsed_ms: int
success: bool = True
error: Optional[str] = None
class AnalysisConfigResponse(BaseModel):
analysis_modules: Dict[str, Dict]