import os
from typing import Dict, Any, List

# ===== Residency / Deployment =====
CANADA_RESIDENCY_REQUIRED = True
CLOUD_REGION = os.getenv("CLOUD_REGION", "ca")  # e.g., "ca" or "us"

# ===== Cohere API =====
COHERE_API_KEY = os.getenv("COHERE_API_KEY", "")
# Optional: override Cohere API url/region if your enterprise deployment provides one
COHERE_API_URL = os.getenv("COHERE_API_URL", "")  # leave blank to use default SDK endpoint
COHERE_TIMEOUT_S = float(os.getenv("COHERE_TIMEOUT_S", "45"))

# Cohere models (ask Cohere for larger/custom healthcare models as needed)
COHERE_MODEL_PRIMARY = os.getenv("COHERE_MODEL_PRIMARY", "command-r")
COHERE_EMBED_MODEL = os.getenv("COHERE_EMBED_MODEL", "embed-english-v3.0")

# ===== Fallbacks (OPEN MODELS ONLY) =====
# By request, we default to Cohere-only. Set to "1" to allow open-model fallbacks.
USE_OPEN_FALLBACKS = os.getenv("USE_OPEN_FALLBACKS", "0") in ("1", "true", "True")

# Largest-first open models if fallbacks are enabled
OPEN_LLM_CANDIDATES: List[str] = [
    "Qwen/Qwen2.5-72B-Instruct",
    "meta-llama/Meta-Llama-3.1-70B-Instruct",
    "mistralai/Mixtral-8x22B-Instruct-v0.1",
    "NousResearch/Meta-Llama-3.1-8B-Instruct",
    "mistralai/Mistral-7B-Instruct-v0.3",
]

LOCAL_MAX_NEW_TOKENS = int(os.getenv("LOCAL_MAX_NEW_TOKENS", "1200"))

# ===== App Knobs =====
MODEL_SETTINGS: Dict[str, Any] = {
    "temperature": float(os.getenv("TEMP", "0.3")),
    "top_p": float(os.getenv("TOP_P", "0.9")),
    "repetition_penalty": float(os.getenv("REP_PEN", "1.12")),
    "max_new_tokens": int(os.getenv("MAX_NEW_TOKENS", "1500")),
}

HEALTHCARE_SETTINGS = {
    "supported_file_types": [".csv", ".txt", ".md", ".pdf"],
    "healthcare_keywords": [
        "hospital", "clinic", "surgery", "surgical", "wait time", "consult", "triage",
        "beds", "occupancy", "icu", "ambulatory", "perioperative", "zone", "health authority",
        "province", "nova scotia", "iwk"
    ]
}

GENERAL_CONVERSATION_PROMPT = "You are a helpful, concise assistant."
HEALTHCARE_SYSTEM_PROMPT = (
    "You are a Canadian healthcare operations copilot. "
    "You must follow the scenario tasks exactly; calculations are done deterministically. "
    "Do not invent numbers."
)

USE_SCENARIO_ENGINE = os.getenv("USE_SCENARIO_ENGINE", "1") not in ("0", "false", "False")

DATA_DIR = os.getenv("DATA_DIR", "./data")
RAG_INDEX_DIR = os.getenv("RAG_INDEX_DIR", "./rag_index")
PERSIST_CONTENT = False
SNAPSHOT_PATH = os.getenv("SNAPSHOT_PATH", "./snapshots")