|
|
| 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() |
|
|