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from __future__ import annotations
from pydantic import BaseModel, Field
from typing import Literal, Optional
from datetime import datetime
class Summary(BaseModel):
major_concern_nifty50: str = Field(..., description="Single most important risk or watch-out for Nifty50")
trade_reasoning_nifty50: str
trade_strategy_nifty50: str
major_concern_banknifty: str
trade_reasoning_banknifty: str
trade_strategy_banknifty: str
class SummaryBankNifty(BaseModel):
major_concern: str
sentiment: Literal["bullish", "bearish"]
reasoning: str
trade_strategy: str
news_summary: str
class TradePlan(BaseModel):
status: Literal["No trade", "Trade"]
brief_reason: str
type: Literal["long", "short", "none"]
entry_at: float
target: float
stoploss: float
class DecisionOutput(BaseModel):
summary_banknifty: SummaryBankNifty
trade: TradePlan
class PositionState(BaseModel):
entered: bool = False
entry_time: Optional[datetime] = None
entry_price: Optional[float] = None
side: Optional[Literal["long", "short","none"]] = None
exited: bool = False
exit_time: Optional[datetime] = None
exit_price: Optional[float] = None
exit_reason: Optional[Literal["target", "stoploss", "Exited at market price","market close"]] = None
pnl_pct: Optional[float] = None
open_position: bool = False
unrealized_pct: Optional[float] = None
note: Optional[str] = None
def to_compact(self, now: datetime) -> dict:
keys = [
"entered","entry_price","side","exited","exit_price","exit_reason",
"pnl_pct","open_position","unrealized_pct","note"
]
out = {k: getattr(self, k) for k in keys if getattr(self, k) is not None}
if self.open_position and self.entry_time:
out["trade_duration"] = now - self.entry_time
return out
TRADE_SCHEMA = {
"type": "object",
"properties": {
"trade": {
"type": "object",
"properties": {
"status": {"type": "string", "enum": ["No trade", "Trade"]},
"brief_reason": {"type": "string"},
"type": {"type": "string", "enum": ["long", "short", "none"]},
"entry_at": {"type": "number"},
"target": {"type": "number"},
"stoploss": {"type": "number"}
},
# IMPORTANT: OpenAI requires 'required' and it must list every key
"required": ["status","brief_reason", "type", "entry_at", "target", "stoploss"],
"additionalProperties": False
}
},
"required": ["trade"],
"additionalProperties": False
}
RESPONSE_SCHEMA = {
"type": "object",
"properties": {
"summary_banknifty": {
"type": "object",
"properties": {
"major_concern": {"type": "string"},
"sentiment": {"type": "string", "enum": ["bullish", "bearish"]},
"reasoning": {"type": "string"},
"trade_strategy": {"type": "string"},
"news_summary": {"type": "string"}
},
"required": ["major_concern", "sentiment", "reasoning", "trade_strategy","news_summary"],
"additionalProperties": False
},
"trade": {
"type": "object",
"properties": {
"status": {"type": "string", "enum": ["No trade", "Trade"]},
"brief_reason": {"type": "string"},
"type": {"type": "string", "enum": ["long", "short", "none"]},
"entry_at": {"type": "number"},
"target": {"type": "number"},
"stoploss": {"type": "number"}
},
"required": ["status", "brief_reason", "type", "entry_at", "target", "stoploss"],
"additionalProperties": False
}
},
"required": ["summary_banknifty", "trade"],
"additionalProperties": False
} |