dataset / app /config.py
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from __future__ import annotations
import os
from dataclasses import dataclass
from pathlib import Path
from dotenv import load_dotenv
load_dotenv(override=True)
TZ = "Asia/Kolkata"
@dataclass(frozen=True)
class Paths:
data_dir: Path
out_dir: Path
@property
def banknifty_hourly(self) -> Path:
return self.data_dir / "BankNifty_Hourly.xlsx"
@property
def banknifty_1m(self) -> Path:
return self.data_dir / "banknifty-1m.xlsx"
@property
def sentiment_pred(self) -> Path:
return self.data_dir / "sentiment prediction gpt-5-mini rephrased.xlsx"
@property
def zerodha_tx(self) -> Path:
return self.data_dir / "cleaned_tushar_ghone_transcripts.xlsx"
@property
def bank_news(self) -> Path:
return self.data_dir / "bank_news_with_summaries.xlsx"
@property
def nifty_daily(self) -> Path:
return self.data_dir / "nifty50-4month-daily.xlsx"
@dataclass(frozen=True)
class LLMConfig:
model: str = os.environ["OPENAI_MODEL"]
api_key: str = os.environ["OPENAI_API_KEY"]
base_url: str | None = os.environ["OPENAI_BASE_URL"]
temperature: float = 0
top_p: float = 0
@dataclass(frozen=True)
class MarketConfig:
open_time = (9, 15)
close_time = (15, 30)
@dataclass(frozen=True)
class AppConfig:
paths: Paths
llm: LLMConfig = LLMConfig()
market: MarketConfig = MarketConfig()