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