Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
File size: 2,133 Bytes
b0538ac |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
from pydantic import BaseModel
from typing import List, Optional, Any
from datetime import datetime
# Pydantic models
class DeepAnalysisReportCreate(BaseModel):
report_uuid: str
user_id: Optional[int] = None
goal: str
status: str = "completed"
deep_questions: Optional[str] = None
deep_plan: Optional[str] = None
summaries: Optional[List[Any]] = None
analysis_code: Optional[str] = None
plotly_figures: Optional[List[Any]] = None
synthesis: Optional[List[Any]] = None
final_conclusion: Optional[str] = None
html_report: Optional[str] = None
report_summary: Optional[str] = None
progress_percentage: Optional[int] = 100
duration_seconds: Optional[int] = None
# Credit and error tracking
credits_consumed: Optional[int] = 0
error_message: Optional[str] = None
model_provider: Optional[str] = "anthropic"
model_name: Optional[str] = "claude-sonnet-4-20250514"
total_tokens_used: Optional[int] = 0
estimated_cost: Optional[float] = 0.0
steps_completed: Optional[List[str]] = None # Array of completed step names
class DeepAnalysisReportResponse(BaseModel):
report_id: int
report_uuid: str
user_id: Optional[int]
goal: str
status: str
start_time: datetime
end_time: Optional[datetime]
duration_seconds: Optional[int]
report_summary: Optional[str]
created_at: datetime
updated_at: datetime
class DeepAnalysisReportDetailResponse(DeepAnalysisReportResponse):
deep_questions: Optional[str]
deep_plan: Optional[str]
summaries: Optional[List[Any]]
analysis_code: Optional[str]
plotly_figures: Optional[List[Any]]
synthesis: Optional[List[Any]]
final_conclusion: Optional[str]
html_report: Optional[str]
progress_percentage: Optional[int]
# Credit and error tracking
credits_consumed: Optional[int]
error_message: Optional[str]
model_provider: Optional[str] = "anthropic"
model_name: Optional[str] = "claude-sonnet-4-20250514"
total_tokens_used: Optional[int]
estimated_cost: Optional[float]
steps_completed: Optional[List[str]] = None
|