* Fix Studio crash on Anaconda Python due to platform._sys_version() parse failure
Anaconda and conda-forge modify sys.version to include distributor
metadata between pipe characters, e.g.:
3.12.4 | packaged by Anaconda, Inc. | (main, ...) [MSC v.1929 ...]
Python's platform._sys_version() has a hardcoded regex that cannot
parse this format, raising ValueError. CPython closed this as "not
planned" (cpython#102396) since Anaconda modified the binary.
This breaks the import chain: run.py -> structlog -> rich -> attrs,
which calls platform.python_implementation() at module scope.
Fix: before any library imports, strip the pipe segments, parse the
cleaned version string via the standard parser, and cache the result
under the original sys.version key so all subsequent platform calls
hit the cache.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Add defensive fallback for unpaired pipe edge cases in version patch
Address Gemini review suggestion: if the paired-pipe regex leaves
residual pipes (hypothetical single-pipe distributor metadata), fall
back to extracting the version number and the parenthesized build
info directly. Wrap the entire patch in try/except so unexpected
version string formats degrade gracefully instead of crashing the
patch itself.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Refactor into shared _platform_compat module, cover colab.py entrypoint
Address reviewer feedback:
1. Extract the Anaconda/conda-forge sys.version fix into a shared
_platform_compat.py module that wraps platform._sys_version() with
a retry-on-ValueError fallback. This is more robust than cache-seeding
because it handles all future platform._sys_version() calls, not just
the first one.
2. Import the fix from both run.py and colab.py entrypoints, so Studio
no longer crashes on Anaconda Python regardless of the launch path.
3. The wrapper is idempotent (guarded by a flag) and handles edge cases:
paired pipes (Anaconda, conda-forge), unpaired pipes (hypothetical),
and standard CPython strings (no-op since ValueError is never raised).
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Replace monkey-patch with cache-prime, fix colab.py duplicate sys.path, cover main.py
- Rewrite _platform_compat.py: replace function-wrapping monkey-patch with
one-shot cache seed (_seed_sys_version_cache). Parses cleaned sys.version
once and seeds platform._sys_version_cache so the stdlib parser never sees
the problematic Anaconda/conda-forge pipe-delimited string. No function
replacement, no idempotency flag, no reload edge cases.
- colab.py: remove duplicate backend_path sys.path insertion after
_bootstrap_studio_venv(). The early insertion (before _platform_compat
import) already covers it. This also fixes backend/ ending up behind
venv site-packages in sys.path ordering.
- run.py: move PYTHONWARNINGS=ignore before _platform_compat import to
preserve original intent of suppressing warnings early.
- main.py: add sys.path + _platform_compat import before route imports,
covering the direct `uvicorn main:app` launch path.
- Add test_platform_compat.py with 7 tests covering Anaconda, conda-forge,
and standard CPython version strings, plus the loggers import chain.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Remove test_platform_compat.py from PR
* Handle Format B conda-forge version strings with duplicate paren groups
Some conda-forge builds produce sys.version with the build info both
before and after the pipe label (e.g. "3.9.7 (default, ...) | packaged
by conda-forge | (default, ...) \n[GCC 7.5.0]"). After stripping the
pipe segment, two consecutive (...) groups remain, which still fails
platform._sys_version(). Add a second regex pass to drop the duplicate
paren group.
* Guard _sys_version call with try/except to avoid making things worse
If the cleaned version string is still unparseable by the stdlib regex
(e.g. nested parens, exotic multi-pipe formats), silently give up
instead of letting ValueError propagate at import time -- which would
be a worse crash than the original deferred one.
---------
Co-authored-by: Daniel Han <danielhanchen@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
360 lines
12 KiB
Python
360 lines
12 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-only
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# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
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"""
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Main FastAPI application for Unsloth UI Backend
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"""
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import os
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import sys
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from pathlib import Path as _Path
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# Suppress annoying C-level dependency warnings globally
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os.environ["PYTHONWARNINGS"] = "ignore"
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# Ensure backend dir is on sys.path so _platform_compat is importable when
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# main.py is launched directly (e.g. `uvicorn main:app`).
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_backend_dir = str(_Path(__file__).parent)
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if _backend_dir not in sys.path:
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sys.path.insert(0, _backend_dir)
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# Fix for Anaconda/conda-forge Python: seed platform._sys_version_cache before
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# any library imports that trigger attrs -> rich -> structlog -> platform crash.
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# See: https://github.com/python/cpython/issues/102396
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import _platform_compat # noqa: F401
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import shutil
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import warnings
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from contextlib import asynccontextmanager
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# Suppress annoying dependency warnings in production
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if os.getenv("ENVIRONMENT_TYPE", "production") == "production":
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warnings.filterwarnings("ignore")
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# Alternatively, you can be more specific:
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# warnings.filterwarnings("ignore", category=DeprecationWarning)
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# warnings.filterwarnings("ignore", module="triton.*")
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse, HTMLResponse, Response
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from pathlib import Path
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from datetime import datetime
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# Import routers
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from routes import (
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auth_router,
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data_recipe_router,
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datasets_router,
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export_router,
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inference_router,
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models_router,
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training_router,
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)
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from auth import storage
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from utils.hardware import detect_hardware, get_device, DeviceType
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import utils.hardware.hardware as _hw_module
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from utils.cache_cleanup import clear_unsloth_compiled_cache
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Startup: detect hardware, seed default admin if needed. Shutdown: clean up compiled cache."""
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# Clean up any stale compiled cache from previous runs
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clear_unsloth_compiled_cache()
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# Remove stale .venv_overlay from previous versions — no longer used.
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# Version switching now uses .venv_t5/ (pre-installed by setup.sh).
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overlay_dir = Path(__file__).resolve().parent.parent.parent / ".venv_overlay"
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if overlay_dir.is_dir():
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shutil.rmtree(overlay_dir, ignore_errors = True)
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# Detect hardware first — sets DEVICE global used everywhere
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detect_hardware()
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# Pre-cache the helper GGUF model for LLM-assisted dataset detection.
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# Runs in a background thread so it doesn't block server startup.
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import threading
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def _precache():
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try:
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from utils.datasets.llm_assist import precache_helper_gguf
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precache_helper_gguf()
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except Exception:
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pass # non-critical
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threading.Thread(target = _precache, daemon = True).start()
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if storage.ensure_default_admin():
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bootstrap_pw = storage.get_bootstrap_password()
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app.state.bootstrap_password = bootstrap_pw
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print("\n" + "=" * 60)
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print("DEFAULT ADMIN ACCOUNT CREATED")
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print(
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"Sign in with the seeded credentials and change the password immediately:\n"
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)
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print(f" username: {storage.DEFAULT_ADMIN_USERNAME}")
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print(f" password: {bootstrap_pw}\n")
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print("=" * 60 + "\n")
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else:
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app.state.bootstrap_password = storage.get_bootstrap_password()
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yield
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# Cleanup
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_hw_module.DEVICE = None
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clear_unsloth_compiled_cache()
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# Create FastAPI app
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app = FastAPI(
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title = "Unsloth UI Backend",
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version = "1.0.0",
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description = "Backend API for Unsloth UI - Training and Model Management",
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lifespan = lifespan,
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)
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# Initialize structured logging
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from loggers.config import LogConfig
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from loggers.handlers import LoggingMiddleware
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logger = LogConfig.setup_logging(
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service_name = "unsloth-studio-backend",
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env = os.getenv("ENVIRONMENT_TYPE", "production"),
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)
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app.add_middleware(LoggingMiddleware)
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# CORS middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins = ["*"], # In production, specify allowed origins
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allow_credentials = True,
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allow_methods = ["*"],
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allow_headers = ["*"],
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)
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# ============ Register API Routes ============
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# Register routers
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app.include_router(auth_router, prefix = "/api/auth", tags = ["auth"])
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app.include_router(training_router, prefix = "/api/train", tags = ["training"])
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app.include_router(models_router, prefix = "/api/models", tags = ["models"])
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app.include_router(inference_router, prefix = "/api/inference", tags = ["inference"])
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# OpenAI-compatible endpoints: mount the same inference router at /v1
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# so external tools (Open WebUI, SillyTavern, etc.) can use the
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# standard /v1/chat/completions path.
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app.include_router(inference_router, prefix = "/v1", tags = ["openai-compat"])
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app.include_router(datasets_router, prefix = "/api/datasets", tags = ["datasets"])
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app.include_router(data_recipe_router, prefix = "/api/data-recipe", tags = ["data-recipe"])
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app.include_router(export_router, prefix = "/api/export", tags = ["export"])
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# ============ Health and System Endpoints ============
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@app.get("/api/health")
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async def health_check():
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"""Health check endpoint"""
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platform_map = {"darwin": "mac", "win32": "windows", "linux": "linux"}
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device_type = platform_map.get(sys.platform, sys.platform)
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return {
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"status": "healthy",
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"timestamp": datetime.now().isoformat(),
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"service": "Unsloth UI Backend",
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"device_type": device_type,
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"chat_only": _hw_module.CHAT_ONLY,
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}
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@app.get("/api/system")
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async def get_system_info():
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"""Get system information"""
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import platform
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import subprocess
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import psutil
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from utils.hardware import get_device, get_gpu_memory_info, DeviceType
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# GPU Info — query nvidia-smi for physical GPUs, filtered by
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# CUDA_VISIBLE_DEVICES when set (the frontend uses this for GGUF
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# fit estimation and llama-server respects CVD too).
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import os
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gpu_info: dict = {"available": False, "devices": []}
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device = get_device()
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if device == DeviceType.CUDA:
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# Parse CUDA_VISIBLE_DEVICES allowlist
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allowed_indices = None
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cvd = os.environ.get("CUDA_VISIBLE_DEVICES")
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if cvd is not None and cvd.strip():
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try:
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allowed_indices = set(int(x.strip()) for x in cvd.split(","))
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except ValueError:
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pass # Non-numeric (e.g. GPU-uuid), show all
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try:
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result = subprocess.run(
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[
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"nvidia-smi",
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"--query-gpu=index,name,memory.total",
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"--format=csv,noheader,nounits",
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],
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capture_output = True,
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text = True,
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timeout = 10,
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)
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if result.returncode == 0:
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for line in result.stdout.strip().splitlines():
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parts = [p.strip() for p in line.split(",")]
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if len(parts) == 3:
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idx = int(parts[0])
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if allowed_indices is not None and idx not in allowed_indices:
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continue
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gpu_info["devices"].append(
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{
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"index": idx,
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"name": parts[1],
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"memory_total_gb": round(int(parts[2]) / 1024, 2),
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}
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)
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gpu_info["available"] = len(gpu_info["devices"]) > 0
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except Exception:
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pass
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# Fallback to torch-based single-GPU detection
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if not gpu_info["available"]:
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mem_info = get_gpu_memory_info()
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if mem_info.get("available"):
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gpu_info["available"] = True
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gpu_info["devices"].append(
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{
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"index": mem_info.get("device", 0),
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"name": mem_info.get("device_name", "Unknown"),
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"memory_total_gb": round(mem_info.get("total_gb", 0), 2),
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}
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)
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# CPU & Memory
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memory = psutil.virtual_memory()
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return {
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"platform": platform.platform(),
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"python_version": platform.python_version(),
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"device_backend": get_device().value,
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"cpu_count": psutil.cpu_count(),
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"memory": {
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"total_gb": round(memory.total / 1e9, 2),
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"available_gb": round(memory.available / 1e9, 2),
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"percent_used": memory.percent,
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},
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"gpu": gpu_info,
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}
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@app.get("/api/system/hardware")
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async def get_hardware_info():
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"""Return GPU name, total VRAM, and key ML package versions."""
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from utils.hardware import get_gpu_summary, get_package_versions
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return {
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"gpu": get_gpu_summary(),
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"versions": get_package_versions(),
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}
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# ============ Serve Frontend (Optional) ============
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def _strip_crossorigin(html_bytes: bytes) -> bytes:
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"""Remove ``crossorigin`` attributes from script/link tags.
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Vite adds ``crossorigin`` by default which forces CORS mode on font
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subresource loads. When Studio is served over plain HTTP, Firefox
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HTTPS-Only Mode does not exempt CORS font requests -- causing all
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@font-face downloads to fail silently. Stripping the attribute
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makes them regular same-origin fetches that work on any protocol.
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"""
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import re as _re
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html = html_bytes.decode("utf-8")
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html = _re.sub(r'\s+crossorigin(?:="[^"]*")?', "", html)
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return html.encode("utf-8")
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def _inject_bootstrap(html_bytes: bytes, app: FastAPI) -> bytes:
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"""Inject bootstrap credentials into HTML when password change is required.
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The script tag is only injected while the default admin account still
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has ``must_change_password=True``. Once the user changes the password
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the HTML is served clean — no credentials leak.
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"""
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import json as _json
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if not storage.requires_password_change(storage.DEFAULT_ADMIN_USERNAME):
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return html_bytes
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bootstrap_pw = getattr(app.state, "bootstrap_password", None)
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if not bootstrap_pw:
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return html_bytes
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payload = _json.dumps(
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{
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"username": storage.DEFAULT_ADMIN_USERNAME,
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"password": bootstrap_pw,
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}
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)
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tag = f"<script>window.__UNSLOTH_BOOTSTRAP__={payload}</script>"
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html = html_bytes.decode("utf-8")
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html = html.replace("</head>", f"{tag}</head>", 1)
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return html.encode("utf-8")
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def setup_frontend(app: FastAPI, build_path: Path):
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"""Mount frontend static files (optional)"""
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if not build_path.exists():
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return False
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# Mount assets
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assets_dir = build_path / "assets"
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if assets_dir.exists():
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app.mount("/assets", StaticFiles(directory = assets_dir), name = "assets")
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@app.get("/")
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async def serve_root():
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content = (build_path / "index.html").read_bytes()
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content = _strip_crossorigin(content)
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content = _inject_bootstrap(content, app)
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return Response(
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content = content,
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media_type = "text/html",
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headers = {"Cache-Control": "no-cache, no-store, must-revalidate"},
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)
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@app.get("/{full_path:path}")
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async def serve_frontend(full_path: str):
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if full_path.startswith("api"):
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return {"error": "API endpoint not found"}
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file_path = (build_path / full_path).resolve()
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# Block path traversal — ensure resolved path stays inside build_path
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if not file_path.is_relative_to(build_path.resolve()):
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return Response(status_code = 403)
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if file_path.is_file():
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return FileResponse(file_path)
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# Serve index.html as bytes — avoids Content-Length mismatch
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content = (build_path / "index.html").read_bytes()
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content = _strip_crossorigin(content)
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content = _inject_bootstrap(content, app)
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return Response(
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content = content,
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media_type = "text/html",
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headers = {"Cache-Control": "no-cache, no-store, must-revalidate"},
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)
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return True
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