"""
  Embedding module configuration.
  
  This module is intentionally a plain Python file (no env var parsing, no extra deps).
  Edit values here to configure:
  - server host/port
  - local model settings (paths/devices/batch sizes)
  """
  
  from typing import Optional

  import os

  
  
  class EmbeddingConfig(object):
      # Server

      HOST = os.getenv("EMBEDDING_HOST", "0.0.0.0")
      PORT = int(os.getenv("EMBEDDING_PORT", 6005))

      # Text backend defaults

      TEXT_MODEL_ID = os.getenv("TEXT_MODEL_ID", "Qwen/Qwen3-Embedding-0.6B")
      # Backward-compatible alias for old naming in docs/scripts.
      TEXT_MODEL_DIR = TEXT_MODEL_ID
      TEXT_DEVICE = os.getenv("TEXT_DEVICE", "cuda")  # "cuda" or "cpu"
      TEXT_BATCH_SIZE = int(os.getenv("TEXT_BATCH_SIZE", "32"))
      TEXT_NORMALIZE_EMBEDDINGS = os.getenv("TEXT_NORMALIZE_EMBEDDINGS", "true").lower() in ("1", "true", "yes")

      TEI_BASE_URL = os.getenv("TEI_BASE_URL", "http://127.0.0.1:8080")
      TEI_TIMEOUT_SEC = int(os.getenv("TEI_TIMEOUT_SEC", "60"))

      # Image embeddings
      # Option A: clip-as-service (Jina CLIP server, recommended)
      USE_CLIP_AS_SERVICE = os.getenv("USE_CLIP_AS_SERVICE", "true").lower() in ("1", "true", "yes")
      CLIP_AS_SERVICE_SERVER = os.getenv("CLIP_AS_SERVICE_SERVER", "grpc://127.0.0.1:51000")
  
      # Option B: local CN-CLIP (when USE_CLIP_AS_SERVICE=false)

      IMAGE_MODEL_NAME = "ViT-H-14"
      IMAGE_DEVICE = None  # type: Optional[str]  # "cuda" / "cpu" / None(auto)
  
      # Service behavior
      IMAGE_BATCH_SIZE = 8
  
  
  CONFIG = EmbeddingConfig()