NexusOS/synapse/nexus_config.py

# config.py
from __future__ import annotations

import os
from pathlib import Path
from typing import Dict, Any

# --- ENV ---
try:
    from dotenv import load_dotenv  # optional
    load_dotenv()
except Exception:
    pass

# --- PROJECT ROOT ---
PROJECT_ROOT = Path(__file__).resolve().parent.parent

# --- VERSION (single source of truth: the VERSION file at the repo root) ---
try:
    VERSION = (PROJECT_ROOT / "VERSION").read_text(encoding="utf-8").strip() or "0.0.0"
except Exception:
    VERSION = "0.0.0"

# --- MODEL DEFAULTS ---
# Single source of truth for the three models NexusOS ships with. The installers
# pull and pin these, the runtime falls back to them; keeping them in one place
# is what stops installer and backend from drifting apart.
#
# Chat: llama3.1:8b - a strong non-reasoning instruct model (~4.9 GB; overflows a
# 4 GB GPU into CPU/RAM). Chosen over Qwen3 because Qwen3 is a reasoning model:
# smart only with its slow <think> step, weak without it.
# Memory: mistral - the curator that extracts facts and titles conversations.
# Embed: nomic-embed-text - powers semantic recall of past conversations
# (OllamaManager.embed / store.semantic_search_conversations). Without it,
# recall silently degrades to lexical substring matching.
DEFAULT_CHAT_MODEL = "llama3.1:8b"
DEFAULT_MEMORY_MODEL = "mistral:latest"
DEFAULT_EMBED_MODEL = "nomic-embed-text"

# --- CORE DIRECTORIES ---
DATA_DIR = PROJECT_ROOT / "data"
MODELS_DIR = PROJECT_ROOT / "models"
RUNTIME_DIR = PROJECT_ROOT / "runtime"

MEMORY_DIR = PROJECT_ROOT / "synapse" / "memory"

LOGS_DIR = RUNTIME_DIR / "logs"
CACHE_DIR = RUNTIME_DIR / "cache"
TEMP_DIR = RUNTIME_DIR / "tmp"

# --- APPLICATION SUBSYSTEM DIRECTORIES ---
PLAYBOOK_DIR = DATA_DIR / "playbooks"  # YAML playbook files (PlaybookFileStore)
UPLOADS_DIR = DATA_DIR / "uploads"
EXPORTS_DIR = DATA_DIR / "exports"

# --- DATABASE / STORAGE FILES (match your repo) ---
MEMORY_DB = MEMORY_DIR / "memory.db"

# --- LOG FILES ---
BACKEND_LOG = RUNTIME_DIR / "backend.log"
OLLAMA_LOG = LOGS_DIR / "ollama.log"
CHAT_LOG = LOGS_DIR / "chat.log"

# --- ENSURE REQUIRED DIRECTORIES EXIST ---
for d in (
    DATA_DIR,
    MODELS_DIR,
    RUNTIME_DIR,
    LOGS_DIR,
    MEMORY_DIR,
    CACHE_DIR,
    TEMP_DIR,
    PLAYBOOK_DIR,
    UPLOADS_DIR,
    EXPORTS_DIR,
):
    d.mkdir(parents=True, exist_ok=True)

# --- PATH ACCESSOR (fail-fast) ---
def path(name: str) -> Path:
    """
    Return a Path for a known name. Raises KeyError if name is unknown.
    """
    mapping = {
        "root": PROJECT_ROOT,
        "data": DATA_DIR,
        "models": MODELS_DIR,
        "runtime": RUNTIME_DIR,
        "logs": LOGS_DIR,
        "memory": MEMORY_DIR,
        "cache": CACHE_DIR,
        "tmp": TEMP_DIR,
        "playbooks": PLAYBOOK_DIR,
        "uploads": UPLOADS_DIR,
        "exports": EXPORTS_DIR,
        "memory_db": MEMORY_DB,
        "backend_log": BACKEND_LOG,
        "ollama_log": OLLAMA_LOG,
        "chat_log": CHAT_LOG,
    }
    try:
        return mapping[name]
    except KeyError:
        raise KeyError(f"Unknown config path name: {name}")

# --- Settings class and exported instance ---
class Settings:
    """
    Lightweight settings container. Use `settings` instance for runtime access,
    or `Settings` class for typing/tests.
    """
    def __init__(self) -> None:
        self.version: str = VERSION
        self.project_root: Path = PROJECT_ROOT
        self.data_dir: Path = DATA_DIR
        self.models_dir: Path = MODELS_DIR
        self.runtime_dir: Path = RUNTIME_DIR
        self.memory_dir: Path = MEMORY_DIR
        self.logs_dir: Path = LOGS_DIR

        # DB files
        self.memory_db: Path = MEMORY_DB

        # Logs
        self.backend_log: Path = BACKEND_LOG
        self.ollama_log: Path = OLLAMA_LOG
        self.chat_log: Path = CHAT_LOG

        # Env overrides
        self.ollama_host: str = os.getenv("OLLAMA_HOST", "http://127.0.0.1:11434")
        self.ollama_timeout: int = int(os.getenv("OLLAMA_TIMEOUT", "120"))

    def as_dict(self) -> Dict[str, Any]:
        return {
            "version": self.version,
            "project_root": str(self.project_root),
            "data_dir": str(self.data_dir),
            "models_dir": str(self.models_dir),
            "runtime_dir": str(self.runtime_dir),
            "memory_dir": str(self.memory_dir),
            "memory_db": str(self.memory_db),
            "ollama_host": self.ollama_host,
            "ollama_timeout": self.ollama_timeout,
        }

# --- local-access allowlists (shared by the backend + memory FastAPI apps) ---
# The REST APIs are unauthenticated, so they are meant to be reached only from
# this machine. Two independent browser-side defenses depend on these lists:
#   * ALLOWED_ORIGINS drives CORS — blocks a malicious page from *reading*
#     responses cross-origin (was previously "*", which let any site read them).
#   * ALLOWED_HOSTS drives TrustedHostMiddleware — rejects a foreign Host header,
#     which is what stops DNS-rebinding (same-origin from the browser's view, so
#     CORS can't help there).
# Both accept a comma-separated env override for the intentional-LAN case, to be
# paired with real auth. NEXUS_ALLOWED_HOSTS=* disables the Host check.
def _csv_env(name: str, default: list) -> list:
    raw = os.getenv(name, "").strip()
    return [p.strip() for p in raw.split(",") if p.strip()] if raw else list(default)

_LOCAL_HOSTS = ["localhost", "127.0.0.1", "[::1]", "::1", "testserver"]
_LOCAL_ORIGINS = [
    f"http://{h}:{p}"
    for h in ("localhost", "127.0.0.1")
    for p in (8000, 8001, 5173)
]
ALLOWED_HOSTS = _csv_env("NEXUS_ALLOWED_HOSTS", _LOCAL_HOSTS)
ALLOWED_ORIGINS = _csv_env("NEXUS_ALLOWED_ORIGINS", _LOCAL_ORIGINS)


# --- resource limits (DoS guardrails for the unauthenticated local APIs) ---
# Even local-only, an unbounded base64 upload or a flood of concurrent inference
# requests can exhaust RAM/CPU. These are generous defaults for single-user use,
# all env-overridable.
def _int_env(name: str, default: int) -> int:
    try:
        return int((os.getenv(name) or "").strip() or default)
    except ValueError:
        return default

MAX_REQUEST_BYTES = _int_env("NEXUS_MAX_REQUEST_MB", 32) * 1024 * 1024
MAX_UPLOAD_BYTES = _int_env("NEXUS_MAX_UPLOAD_MB", 20) * 1024 * 1024
MAX_PDF_PAGES = _int_env("NEXUS_MAX_PDF_PAGES", 500)
MAX_CONCURRENT_CHATS = _int_env("NEXUS_MAX_CONCURRENT_CHATS", 4)
MAX_CONCURRENT_UPLOADS = _int_env("NEXUS_MAX_CONCURRENT_UPLOADS", 2)

# Opt-in allowlist for /models/pull. Empty (default) = unrestricted, preserving
# current behaviour. Set NEXUS_MODEL_ALLOWLIST=mistral,llama3 to bound which
# models can be downloaded; a bare repo name (before the ':tag') matches all of
# its tags, so "mistral" permits "mistral:latest", "mistral:7b", etc.
MODEL_ALLOWLIST = _csv_env("NEXUS_MODEL_ALLOWLIST", [])


def model_pull_allowed(name: str) -> bool:
    """True if `name` may be pulled: always when no allowlist is configured,
    otherwise when the full name or its repo part (before the first ':') is
    listed. Case-insensitive."""
    if not MODEL_ALLOWLIST:
        return True
    n = (name or "").strip().lower()
    if not n:
        return False
    allow = {a.lower() for a in MODEL_ALLOWLIST}
    return n in allow or n.split(":", 1)[0] in allow

# exported instance
settings = Settings()

# explicit exports for static checkers and IDEs
__all__ = ["Settings", "settings", "path", "VERSION",
           "DEFAULT_CHAT_MODEL", "DEFAULT_MEMORY_MODEL", "DEFAULT_EMBED_MODEL",
           "PROJECT_ROOT", "DATA_DIR", "MODELS_DIR", "RUNTIME_DIR",
           "MEMORY_DIR", "LOGS_DIR", "PLAYBOOK_DIR", "UPLOADS_DIR",
           "EXPORTS_DIR", "MEMORY_DB",
           "BACKEND_LOG", "OLLAMA_LOG", "CHAT_LOG",
           "ALLOWED_HOSTS", "ALLOWED_ORIGINS",
           "MAX_REQUEST_BYTES", "MAX_UPLOAD_BYTES", "MAX_PDF_PAGES",
           "MAX_CONCURRENT_CHATS", "MAX_CONCURRENT_UPLOADS",
           "MODEL_ALLOWLIST", "model_pull_allowed"]
           
# --- quick runtime sanity check when run directly (no side effects on import) ---
if __name__ == "__main__":
    print("Config paths:")
    for key in ("root", "data", "models", "runtime", "memory", "memory_db"):
        print(f"  {key}: {path(key)}")