src/recommendation_engine/config.py

import os
from pathlib import Path
from dotenv import load_dotenv

BASE_DIR = Path(__file__).resolve().parent.parent.parent
ENV_PATH = BASE_DIR / ".env"

if ENV_PATH.exists():
    load_dotenv(ENV_PATH)

ENV = os.getenv("ENV", "development")
DEBUG_MODE = os.getenv("DEBUG_MODE", "true").lower() == "true"

GEMINI_API_KEY = os.getenv("GEMINI_API_KEY", "")

MODEL_CANDIDATES = [
    os.getenv("PRIMARY_MODEL", "gemini-3.1-flash-lite-preview"),
    os.getenv("FAST_MODEL", "gemini-2.5-flash-lite"),
    os.getenv("BALANCED_MODEL", "gemini-2.5-flash"),
    os.getenv("QUALITY_MODEL", "gemini-2.5-pro"),
]

_seen = set()
MODEL_CANDIDATES = [
    m for m in MODEL_CANDIDATES
    if m and not (m in _seen or _seen.add(m))
]

IDEA_TEMPERATURE = float(os.getenv("IDEA_TEMPERATURE", 0.9))
FEATURE_TEMPERATURE = float(os.getenv("FEATURE_TEMPERATURE", 0.6))
CHAT_TEMPERATURE = float(os.getenv("CHAT_TEMPERATURE", 0.7))
INTENT_TEMPERATURE = float(os.getenv("INTENT_TEMPERATURE", 0.0))

IDEA_MAX_TOKENS = int(os.getenv("IDEA_MAX_TOKENS", 800))
FEATURE_MAX_TOKENS = int(os.getenv("FEATURE_MAX_TOKENS", 600))
CHAT_MAX_TOKENS = int(os.getenv("CHAT_MAX_TOKENS", 700))
INTENT_MAX_TOKENS = int(os.getenv("INTENT_MAX_TOKENS", 1500))
FULL_PROJECT_MAX_TOKENS = int(os.getenv("FULL_PROJECT_MAX_TOKENS", 2000))

TOP_P = float(os.getenv("TOP_P", 0.95))
TOP_K = int(os.getenv("TOP_K", 40))

REQUEST_TIMEOUT = int(os.getenv("REQUEST_TIMEOUT", 30))
MAX_RETRIES = int(os.getenv("MAX_RETRIES", 3))
RETRY_DELAY_SECONDS = int(os.getenv("RETRY_DELAY_SECONDS", 2))

DEFAULT_FEATURE_COUNT = int(os.getenv("DEFAULT_FEATURE_COUNT", 5))
DEFAULT_IDEA_COUNT = int(os.getenv("DEFAULT_IDEA_COUNT", 5))
GENERATION_BATCH_SIZE = int(os.getenv("GENERATION_BATCH_SIZE", 10))

IDEA_DUPLICATE_THRESHOLD = float(
    os.getenv("IDEA_DUPLICATE_THRESHOLD", 0.45)
)

FEATURE_DUPLICATE_THRESHOLD = float(
    os.getenv("FEATURE_DUPLICATE_THRESHOLD", 0.75)
)

MAX_IDEA_RETRIES = int(os.getenv("MAX_IDEA_RETRIES", 3))
MAX_IDEA_LIMIT = int(os.getenv("MAX_IDEA_LIMIT", 20))

SIMILARITY_TOP_K = int(os.getenv("SIMILARITY_TOP_K", 5))

MAX_HISTORY = int(os.getenv("MAX_HISTORY", 20))
MAX_FEATURES = int(os.getenv("MAX_FEATURES", 20))
MAX_IDEAS = int(os.getenv("MAX_IDEAS", 10))

ENABLE_SEMANTIC_INTENT = os.getenv(
    "ENABLE_SEMANTIC_INTENT", "true"
).lower() == "true"

ENABLE_LOGGING = os.getenv("ENABLE_LOGGING", "true").lower() == "true"
LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO")

if not GEMINI_API_KEY:
    raise ValueError(
        "❌ GEMINI_API_KEY is missing. Please set it in .env file."
    )

if DEBUG_MODE and ENV == "development":
    print("\n CONFIG LOADED:")
    print(f"ENV: {ENV}")
    print(f"DEBUG_MODE: {DEBUG_MODE}")
    print(f"MODELS: {MODEL_CANDIDATES}")
    print(f"MAX_RETRIES: {MAX_RETRIES}")
    print(f"IDEA_TEMP: {IDEA_TEMPERATURE}")
    print("=================================\n")