"""
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")
    # Keep TEXT_MODEL_DIR as an alias so code can refer to one canonical text model value.
    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")
    CLIP_AS_SERVICE_MODEL_NAME = os.getenv("CLIP_AS_SERVICE_MODEL_NAME", "CN-CLIP/ViT-L-14")

    # Option B: local CN-CLIP (when USE_CLIP_AS_SERVICE=false)
    IMAGE_MODEL_NAME = os.getenv("IMAGE_MODEL_NAME", "ViT-L-14")
    IMAGE_DEVICE = None  # type: Optional[str]  # "cuda" / "cpu" / None(auto)

    # Service behavior
    IMAGE_BATCH_SIZE = 8
    IMAGE_NORMALIZE_EMBEDDINGS = os.getenv("IMAGE_NORMALIZE_EMBEDDINGS", "true").lower() in ("1", "true", "yes")


CONFIG = EmbeddingConfig()