Update: config.py

src/recommendation_engine/config.py

@@ -1,88 +1,88 @@
-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", "")
-
-# Primary model — reads GEMINI_MODEL_NAME from .env first, then PRIMARY_MODEL,
-# then falls back to gemini-2.5-pro (smart: advanced reasoning, high quality output).
-MODEL_CANDIDATES = [
-    os.getenv("GEMINI_MODEL_NAME") or os.getenv("PRIMARY_MODEL", "gemini-2.5-pro"),
-    os.getenv("FAST_MODEL",     "gemini-2.5-flash"),   # fast fallback
-    os.getenv("BALANCED_MODEL", "gemini-2.5-flash"),   # same tier fallback
-    os.getenv("QUALITY_MODEL",  "gemini-3.1-flash-lite"), # lightweight last resort
-]
-
-_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", 20))
-
-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", 0.15)
-)
-
-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")
+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", "")
+
+# Primary model — reads GEMINI_MODEL_NAME from .env first, then PRIMARY_MODEL,
+# then falls back to gemini-2.5-pro (smart: advanced reasoning, high quality output).
+MODEL_CANDIDATES = [
+    os.getenv("GEMINI_MODEL_NAME") or os.getenv("PRIMARY_MODEL", "gemini-2.5-pro"),
+    os.getenv("FAST_MODEL",     "gemini-2.5-flash"),   # fast fallback
+    os.getenv("BALANCED_MODEL", "gemini-2.5-flash"),   # same tier fallback
+    os.getenv("QUALITY_MODEL",  "gemini-3.1-flash-lite"), # lightweight last resort
+]
+
+_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", 20))
+
+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", 0.15)
+)
+
+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")