Files
randebu/src/backend/app/db/schemas.py

230 lines
4.5 KiB
Python

from pydantic import BaseModel, EmailStr, field_validator
from typing import Optional, List, Any, Dict
from datetime import datetime
class UserCreate(BaseModel):
email: EmailStr
password: str
class UserResponse(BaseModel):
id: str
email: str
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class Token(BaseModel):
access_token: str
token_type: str
class UserSettings(BaseModel):
email: EmailStr
class UserSettingsUpdate(BaseModel):
email: Optional[EmailStr] = None
password: Optional[str] = None
class BotCreate(BaseModel):
name: str
description: Optional[str] = None
strategy_config: Optional[dict] = {}
llm_config: Optional[dict] = {}
class BotUpdate(BaseModel):
name: Optional[str] = None
description: Optional[str] = None
strategy_config: Optional[dict] = None
llm_config: Optional[dict] = None
status: Optional[str] = None
class BotResponse(BaseModel):
id: str
user_id: str
name: str
description: Optional[str]
strategy_config: dict
llm_config: dict
status: str
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class BacktestCreate(BaseModel):
token: str
chain: str
timeframe: str
start_date: str
end_date: str
@field_validator("chain")
@classmethod
def chain_must_be_bsc(cls, v: str) -> str:
if v != "bsc":
raise ValueError("Phase 1 only supports BSC (bnb chain)")
return v
class BacktestResponse(BaseModel):
id: str
bot_id: str
started_at: datetime
ended_at: Optional[datetime]
status: str
config: dict
result: Optional[dict]
class Config:
from_attributes = True
class SimulationCreate(BaseModel):
token: str
chain: str
duration_seconds: int = 3600
check_interval: int = 60
auto_execute: bool = False
@field_validator("chain")
@classmethod
def chain_must_be_bsc(cls, v: str) -> str:
if v != "bsc":
raise ValueError("Phase 1 only supports BSC (bnb chain)")
return v
class SimulationResponse(BaseModel):
id: str
bot_id: str
started_at: datetime
status: str
config: dict
signals: Optional[List[dict]]
class Config:
from_attributes = True
class BotConversationCreate(BaseModel):
role: str
content: str
class BotConversationResponse(BaseModel):
id: str
bot_id: str
role: str
content: str
created_at: datetime
class Config:
from_attributes = True
class BotChatRequest(BaseModel):
message: str
strategy_config: Optional[bool] = False
class BotChatResponse(BaseModel):
response: str
strategy_config: Optional[dict] = None
success: bool = False
class SignalResponse(BaseModel):
id: str
bot_id: str
run_id: str
signal_type: str
token: str
price: float
confidence: Optional[float]
reasoning: Optional[str]
executed: bool
created_at: datetime
class Config:
from_attributes = True
class AveTokenSearchResponse(BaseModel):
tokens: List[dict]
upsell_message: Optional[str] = None
class AveBatchPricesRequest(BaseModel):
token_ids: List[str]
class AveBatchPricesResponse(BaseModel):
prices: Dict[str, dict]
upsell_message: Optional[str] = None
class AveTokenDetailsResponse(BaseModel):
token: Optional[dict] = None
upsell_message: Optional[str] = None
class AveKlinesRequest(BaseModel):
token_id: str
interval: str = "1h"
limit: int = 100
start_time: Optional[int] = None
end_time: Optional[int] = None
class AveKlinesResponse(BaseModel):
klines: List[dict]
upsell_message: Optional[str] = None
class AveTrendingTokensResponse(BaseModel):
tokens: List[dict]
upsell_message: Optional[str] = None
class AveTokenRiskResponse(BaseModel):
risk: Optional[dict] = None
upsell_message: Optional[str] = None
class AveChainQuoteRequest(BaseModel):
chain: str
from_token: str
to_token: str
amount: str
slippage: float = 0.5
class AveChainQuoteResponse(BaseModel):
quote: Optional[dict] = None
upsell_message: Optional[str] = None
class AveChainSwapRequest(BaseModel):
chain: str
from_token: str
to_token: str
amount: str
slippage: float = 0.5
wallet_address: Optional[str] = None
class AveChainSwapResponse(BaseModel):
swap: Optional[dict] = None
upsell_message: Optional[str] = None