| |
|
| | 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"} |
| | }, |
| | |
| | "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 |
| | } |
