import os

def env(name, default=None, required=False):
    v = os.environ.get(name, default)
    if required and v is None:
        raise RuntimeError(f"env {name} is required")
    return v

def env_int(name, default):
    return int(os.environ.get(name, default))

DATABASE_URL = env("DATABASE_URL", required=True)
BLOB_ROOT = env("BLOB_ROOT", "/var/lib/void/blobs")
WHISPER_MODEL = env("WHISPER_MODEL", "small.en")
WHISPER_CACHE = env("WHISPER_CACHE", "/var/lib/void/whisper-models")
ALLOW_PRIVATE = env("VOID_INGEST_ALLOW_PRIVATE", "false") == "true"

# GPU sharing: Whisper and Ollama (CT 102) share one A2000. Before loading
# Whisper on the GPU, ask Ollama to unload its models to make room (it reloads
# cooperatively on its next request). Best-effort; CPU fallback covers failure.
OLLAMA_URL = env("OLLAMA_URL", "http://192.168.1.185:11434")
OLLAMA_FREE_BEFORE_STT = env("OLLAMA_FREE_BEFORE_STT", "true") == "true"

CONCURRENCY = {
    "extract.pdf":      env_int("VOID_CONCURRENCY_EXTRACT_PDF", 2),
    "extract.image":    env_int("VOID_CONCURRENCY_EXTRACT_IMAGE", 2),
    "ingest.video":     env_int("VOID_CONCURRENCY_INGEST_VIDEO", 1),
    "sync.source_doc":  env_int("VOID_CONCURRENCY_SYNC_SOURCE_DOC", 1),
    "echo":             env_int("VOID_CONCURRENCY_ECHO", 1),
}

POLL_INTERVAL_MS = env_int("VOID_POLL_INTERVAL_MS", 1000)