"""
App-wide configuration. Everything is either an environment variable (set once,
at deploy time) or a row in the `settings` table (editable at runtime via the
setup wizard / settings page) - never a hardcoded path or host.
"""
import os
from pathlib import Path

# Deploy-time config (env vars) - where things live on disk inside the container.
DATA_DIR = Path(os.environ.get("APP_DATA_DIR", "/data"))
UPLOAD_DIR = DATA_DIR / "uploads"
AUDIO_DIR = DATA_DIR / "audio"
TRANSCRIPT_DIR = DATA_DIR / "transcriptions"
NOTES_DIR = DATA_DIR / "notes"
DB_PATH = DATA_DIR / "app.db"

CAMPAIGNS_DIR = DATA_DIR / "campaigns"

def campaign_dir(campaign_id: str) -> Path:
    return CAMPAIGNS_DIR / campaign_id

def campaign_audio_dir(campaign_id: str) -> Path:
    return campaign_dir(campaign_id) / "audio"

def campaign_transcript_dir(campaign_id: str) -> Path:
    return campaign_dir(campaign_id) / "transcriptions"

def campaign_notes_dir(campaign_id: str) -> Path:
    return campaign_dir(campaign_id) / "notes"

for d in (UPLOAD_DIR, AUDIO_DIR, TRANSCRIPT_DIR, NOTES_DIR):
    d.mkdir(parents=True, exist_ok=True)

# Runtime-editable global settings (stored in the `settings` table).
# Only onboarding state lives here; everything else is per-campaign.
GLOBAL_SETTINGS = {
    "onboarding_completed": "false",
}

# Per-campaign settings — seeded into campaign_settings on creation.
# Every layer (frontend, router, pipeline) reads these from the campaign.
CAMPAIGN_SETTINGS = {
    # Transcription
    "whisper_model": "medium",       # tiny|base|small|medium|large-v3 - user picks based on their hardware
    "whisper_compute_type": "int8",
    "hf_token": "",                  # required for diarization (pyannote gated models)

    # Summarization backend: "ollama" (local) or "api" (hosted, OpenAI-compatible)
    "llm_mode": "ollama",
    "ollama_host": "http://localhost:11434",
    "ollama_model": "qwen2.5:7b",
    "api_base_url": "https://api.openai.com/v1",
    "api_key": "",
    "api_model": "gpt-4o-mini",

    # Chunking for long transcripts (map-reduce summarization)
    "chunk_word_target": "2500",

    # Optional world context injected into every summarization prompt
    "world_context": "",
    "world_context_path": "",

    # Player recap style: "story" | "diary" | "bullets" | "custom"
    "player_recap_style": "story",
    "player_recap_custom_prompt": "",
}

# Env var names that can override CAMPAIGN_SETTINGS at read time.
# Set these in docker-compose.yml to prefill the setup wizard.
CAMPAIGN_ENV_OVERRIDES = {
    "hf_token": "NAT20_HF_TOKEN",
    "whisper_model": "NAT20_WHISPER_MODEL",
    "whisper_compute_type": "NAT20_WHISPER_COMPUTE_TYPE",
    "ollama_host": "NAT20_OLLAMA_HOST",
    "ollama_model": "NAT20_OLLAMA_MODEL",
    "api_base_url": "NAT20_API_BASE_URL",
    "api_key": "NAT20_API_KEY",
    "api_model": "NAT20_API_MODEL",
    "chunk_word_target": "NAT20_CHUNK_WORD_TARGET",
    "world_context": "NAT20_WORLD_CONTEXT",
    "world_context_path": "NAT20_WORLD_CONTEXT_PATH",
    "player_recap_style": "NAT20_PLAYER_RECAP_STYLE",
    "player_recap_custom_prompt": "NAT20_PLAYER_RECAP_CUSTOM_PROMPT",
}


def merge_campaign_settings_with_env(raw: dict) -> dict:
    """Priority: DB value > env var > CAMPAIGN_SETTINGS default."""
    merged = {**CAMPAIGN_SETTINGS}
    for key, env_name in CAMPAIGN_ENV_OVERRIDES.items():
        val = os.environ.get(env_name)
        if val is not None:
            merged[key] = val
    for key, val in raw.items():
        if val and val.strip():
            merged[key] = val.strip()
    return merged