import sys
import os
from pathlib import Path

sys.path.append(str(Path(__file__).resolve().parent.parent))
# --- Directories ---
PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent
DATA_DIR = (
    PROJECT_ROOT / "journal" / "data"
)  # This will become the temporary decrypted data directory
VAULT_DIR = (
    PROJECT_ROOT / "journal" / "vault"
)  # This will store the encrypted monthly vault files
LOG_DIR = PROJECT_ROOT / "logs"
PID_FILE = LOG_DIR / "nicegui_server.pid"
SERVER_CONTROL_FILE = LOG_DIR / "server_control.action"
DATABASE_FILENAME = "journal_cache.db"

# --- Vault & Encryption ---
SALT_SIZE = 16
KEY_SIZE = 32  # AES-256
AES_NONCE_SIZE = 12
AES_TAG_SIZE = 16
ITERATIONS = 600_000
MONTHLY_VAULT_FORMAT = "%Y-%m.vault"  # e.g., 2025-07.vault

# --- AI Configuration ---
CLOUDAI_API_KEY = ""
CLOUDAI_API_URL = ""
LLAMA_CPP_URL = "http://127.0.0.1:8085/v1/completions"
LLAMA_CPP_MODEL = "qwen/qwen3-4b"
LLAMA_CPP_TIMEOUT = 6000

EMBEDDING_API_URL = "http://127.0.0.1:8086/v1/embeddings"
EMBEDDING_MODEL_NAME = "text-embedding-nomic-embed-text-v2-moe"
MODEL_CONTEXT_TOKENS = 131072
CHUNK_TOKEN_BUDGET = 120000

# --- Hardware Configuration ---
# Set this to a specific index from `journal devices list` to force a microphone.
# Setting this to `None` is recommended as it will use the system's default device.
MICROPHONE_DEVICE_INDEX: int | None = None

# --- Speech Recognition ---
# "whisper" is local, private, and highly accurate (recommended). Downloads a model on first use.
# "google" is online, accurate, but sends data to Google.
# "sphinx" is offline, fast, but much less accurate.
SPEECH_RECOGNITION_ENGINE: str = "whisper"
WHISPER_MODEL_SIZE: str = "base"  # Options: "tiny", "base", "small", "medium", "large"

# NLP backend selection:
# - auto: use spaCy when available, otherwise fallback heuristics.
# - spacy: require spaCy backend and fail clearly if unavailable.
# - fallback: always use lightweight fallback heuristics.
NLP_BACKEND: str = os.getenv("JOURNAL_NLP_BACKEND", "auto").strip().lower() or "auto"
if NLP_BACKEND not in {"auto", "spacy", "fallback"}:
    NLP_BACKEND = "auto"

# --- Ensure directories exist ---
DATA_DIR.mkdir(exist_ok=True)
VAULT_DIR.mkdir(exist_ok=True)
LOG_DIR.mkdir(exist_ok=True)