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2c527f4 b7dc0ee 2c527f4 03818c5 2c527f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | """Central configuration for paths and environment settings."""
from __future__ import annotations
import os
from pathlib import Path
from dotenv import load_dotenv
load_dotenv()
BASE_DIR = Path(__file__).resolve().parent.parent
DATA_DIR = BASE_DIR / "data"
DATA_RAW_DIR = DATA_DIR / "raw"
DATA_PROCESSED_DIR = DATA_DIR / "processed"
MODEL_DIR = BASE_DIR / "models"
PRICE_MODEL_PATH = MODEL_DIR / "price_model.pkl"
PREPROCESSOR_PATH = MODEL_DIR / "preprocessor.pkl"
MODEL_METADATA_PATH = MODEL_DIR / "model_metadata.json"
LLM_API_KEY = os.getenv("LLM_API_KEY") or os.getenv("OPENAI_API_KEY") or ""
LLM_MODEL = os.getenv("LLM_MODEL") or os.getenv("OPENAI_MODEL") or "gpt-4o-mini"
LLM_PROMPT_VERSION = os.getenv("LLM_PROMPT_VERSION", "structured").strip().lower()
MAX_TRAINING_ROWS = int(os.getenv("MAX_TRAINING_ROWS", "30000"))
# Optional files for local CV model inference.
VISION_MODEL_PATH = MODEL_DIR / "vision_model.pkl"
VISION_LABELS_PATH = MODEL_DIR / "vision_labels.json"
VISION_METADATA_PATH = MODEL_DIR / "vision_metadata.json"
RAW_DATA_CANDIDATES = [
"CarsDatasets2025.csv",
"car_listings.csv",
"autoscout24.csv",
"vehicles.csv",
"cars.csv",
]
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