541b0b477d
Move required path fields up front, persist custom benchmark suites, enlarge readable typography, show full suite benchmark names, add capability-domain trend charts with local Chart.js, and polish ranking name display.
643 lines
21 KiB
Python
643 lines
21 KiB
Python
#!/usr/bin/env python3
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"""Local EvalScope launch panel — wraps bash/run.py via FastAPI."""
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from __future__ import annotations
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import asyncio
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import json
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import os
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import signal
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import sys
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import uuid
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from fastapi import FastAPI, HTTPException
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from fastapi.responses import FileResponse, StreamingResponse
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel, Field
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WEBUI_DIR = Path(__file__).parent.resolve()
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PROJECT_ROOT = WEBUI_DIR.parent
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BASH_DIR = PROJECT_ROOT / 'bash'
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RUN_SCRIPT = BASH_DIR / 'run.py'
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STATIC_DIR = WEBUI_DIR / 'static'
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DATA_DIR = WEBUI_DIR / 'data'
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JOBS_DIR = DATA_DIR / 'jobs'
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LOGS_DIR = DATA_DIR / 'logs'
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sys.path.insert(0, str(BASH_DIR))
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import run as run_module # noqa: E402
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import results_scan # noqa: E402
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JOBS_DIR.mkdir(parents=True, exist_ok=True)
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LOGS_DIR.mkdir(parents=True, exist_ok=True)
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DEFAULT_OUTPUT_DIR = Path(run_module.DEFAULT_OUTPUT_DIR)
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CUSTOM_SUITES_PATH = DATA_DIR / 'custom_suites.json'
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app = FastAPI(title='EvalStone Launch Panel', version='1.0.0')
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def _load_custom_suites() -> Dict[str, List[str]]:
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if not CUSTOM_SUITES_PATH.exists():
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return {}
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try:
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data = json.loads(CUSTOM_SUITES_PATH.read_text(encoding='utf-8'))
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if not isinstance(data, dict):
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return {}
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out: Dict[str, List[str]] = {}
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for name, items in data.items():
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if not isinstance(name, str) or not name.strip():
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continue
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if not isinstance(items, list):
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continue
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cleaned = [str(x).strip() for x in items if str(x).strip()]
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if cleaned:
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out[name.strip()] = cleaned
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return out
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except Exception:
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return {}
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def _save_custom_suites(suites: Dict[str, List[str]]) -> None:
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DATA_DIR.mkdir(parents=True, exist_ok=True)
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CUSTOM_SUITES_PATH.write_text(
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json.dumps(suites, ensure_ascii=False, indent=2),
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encoding='utf-8',
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)
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class CustomSuiteRequest(BaseModel):
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name: str = Field(..., min_length=1)
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datasets: List[str] = Field(..., min_length=1)
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# ---------------------------------------------------------------------------
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# Job store
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# ---------------------------------------------------------------------------
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class JobRecord:
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def __init__(self, job_id: str, payload: dict, command: List[str]):
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self.id = job_id
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self.payload = payload
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self.command = command
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self.status = 'queued' # queued | running | completed | failed | stopped
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self.created_at = datetime.now(timezone.utc).isoformat()
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self.started_at: Optional[str] = None
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self.finished_at: Optional[str] = None
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self.return_code: Optional[int] = None
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self.pid: Optional[int] = None
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self.log_path = LOGS_DIR / f'{job_id}.log'
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self.error: Optional[str] = None
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self._proc: Optional[asyncio.subprocess.Process] = None
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self._log_fp = None
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def to_dict(self) -> dict:
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return {
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'id': self.id,
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'status': self.status,
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'created_at': self.created_at,
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'started_at': self.started_at,
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'finished_at': self.finished_at,
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'return_code': self.return_code,
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'pid': self.pid,
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'command': self.command,
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'payload': self.payload,
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'log_path': str(self.log_path),
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'error': self.error,
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}
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def save(self) -> None:
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path = JOBS_DIR / f'{self.id}.json'
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path.write_text(json.dumps(self.to_dict(), ensure_ascii=False, indent=2), encoding='utf-8')
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JOBS: Dict[str, JobRecord] = {}
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_ACTIVE_JOB_ID: Optional[str] = None
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_LOCK = asyncio.Lock()
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def _load_existing_jobs() -> None:
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for path in sorted(JOBS_DIR.glob('*.json'), key=lambda p: p.stat().st_mtime, reverse=True):
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try:
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data = json.loads(path.read_text(encoding='utf-8'))
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job = JobRecord(data['id'], data.get('payload', {}), data.get('command', []))
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job.status = data.get('status', 'unknown')
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job.created_at = data.get('created_at', job.created_at)
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job.started_at = data.get('started_at')
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job.finished_at = data.get('finished_at')
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job.return_code = data.get('return_code')
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job.pid = data.get('pid')
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job.error = data.get('error')
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if job.status == 'running':
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# Process cannot be resumed after server restart
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job.status = 'failed'
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job.error = 'Server restarted while job was running'
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job.finished_at = datetime.now(timezone.utc).isoformat()
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job.save()
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JOBS[job.id] = job
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except Exception:
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continue
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_load_existing_jobs()
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# ---------------------------------------------------------------------------
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# Request models
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# ---------------------------------------------------------------------------
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class LaunchRequest(BaseModel):
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model: str = Field(..., min_length=1)
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api_url: str = Field(..., min_length=1)
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api_key: str = 'EMPTY'
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thinking: bool = False
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selection_mode: str = 'suite' # suite | datasets
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suite: str = 'official'
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datasets: List[str] = Field(default_factory=list)
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exclude: List[str] = Field(default_factory=list)
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folder_name: Optional[str] = None
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limit: Optional[str] = None
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seed: int = 42
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batch_size: int = 4
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thinking_max_tokens_scale: float = 1.0
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max_tokens_add: int = 0
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dataset_dir: Optional[str] = None
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output_dir: Optional[str] = None
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config: Optional[str] = None
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tokenizer_path: Optional[str] = None
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judge_model: Optional[str] = None
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judge_api_url: Optional[str] = None
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judge_api_key: Optional[str] = None
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judge_max_tokens: Optional[int] = None
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write_summary: bool = True
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# ---------------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------------
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# Capability-domain categories for the custom benchmark picker.
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# Order here is the display order in the UI.
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BENCHMARK_CATEGORIES = [
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{
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'id': 'math',
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'name': '数学推理',
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'items': [
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'aime24', 'aime25', 'aime26', 'hmmt26',
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'imo_answerbench', 'competition_math', 'gsm8k',
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],
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},
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{
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'id': 'code',
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'name': '代码',
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'items': ['humaneval', 'live_code_bench', 'bigcodebench'],
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},
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{
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'id': 'science',
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'name': '科学 / 高难推理',
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'items': ['gpqa_diamond', 'super_gpqa', 'hle'],
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},
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{
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'id': 'knowledge',
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'name': '知识与通用能力',
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'items': [
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'mmlu', 'mmlu_pro', 'cmmlu', 'bbh', 'arc',
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'drop', 'hellaswag', 'winogrande', 'simple_qa', 'trivia_qa',
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],
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},
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{
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'id': 'long_context',
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'name': '长文本',
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'items': ['longbench_v2', 'openai_mrcr'],
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},
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{
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'id': 'tool_agent',
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'name': '工具调用 / 智能体',
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'items': ['bfcl_v3', 'general_fc', 'tau2_bench'],
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},
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]
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def _meta() -> dict:
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all_benchmarks = sorted(
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set(run_module.ALL_MULTI_RUN)
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| set(run_module.ALL_SINGLE_RUN)
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| set(run_module.ALL_AGENT)
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)
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categorized = {b for cat in BENCHMARK_CATEGORIES for b in cat['items']}
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other = sorted(set(all_benchmarks) - categorized)
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categories = [dict(cat) for cat in BENCHMARK_CATEGORIES]
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if other:
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categories.append({'id': 'other', 'name': '其他', 'items': other})
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suites = {}
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for name, cfg in run_module.SUITES.items():
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suites[name] = {
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'multi': list(cfg['multi']),
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'single': list(cfg['single']),
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'agent': list(cfg['agent']),
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'all': list(cfg['multi']) + list(cfg['single']) + list(cfg['agent']),
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}
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return {
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'suites': suites,
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'custom_suites': _load_custom_suites(),
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'benchmarks': all_benchmarks,
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'categories': categories,
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'multi_run': run_module.MULTI_RUN_CONFIG,
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'defaults': {
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'model': run_module.DEFAULT_MODEL,
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'api_url': run_module.DEFAULT_API_URL,
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'api_key': 'EMPTY',
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'dataset_dir': run_module.DEFAULT_DATASET_DIR,
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'output_dir': run_module.DEFAULT_OUTPUT_DIR,
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'config': run_module.DEFAULT_CONFIG,
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'tokenizer_path': run_module.DEFAULT_TOKENIZER_PATH,
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'seed': run_module.DEFAULT_SEED,
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'batch_size': run_module.DEFAULT_BATCH_SIZE,
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'thinking': run_module.DEFAULT_ENABLE_THINKING,
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'judge_model': run_module.DEFAULT_JUDGE_MODEL,
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'judge_api_url': run_module.DEFAULT_JUDGE_API_URL,
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'judge_max_tokens': run_module.DEFAULT_JUDGE_MAX_TOKENS,
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'suite': 'official',
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},
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'project_root': str(PROJECT_ROOT),
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'run_script': str(RUN_SCRIPT),
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}
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def build_command(req: LaunchRequest) -> List[str]:
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cmd = [
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sys.executable,
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str(RUN_SCRIPT),
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'--model', req.model,
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'--api-url', req.api_url,
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'--seed', str(req.seed),
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'--batch-size', str(req.batch_size),
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]
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# Keep API key in env only; avoid requiring a custom --api-key CLI flag in run.py.
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if req.thinking:
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cmd.append('--thinking')
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else:
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cmd.append('--no-thinking')
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if req.selection_mode == 'datasets':
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if not req.datasets:
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raise HTTPException(status_code=400, detail='请至少选择一个 benchmark')
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cmd.extend(['--datasets', ','.join(req.datasets)])
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else:
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if req.suite not in run_module.SUITES:
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raise HTTPException(status_code=400, detail=f'未知 suite: {req.suite}')
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cmd.extend(['--suite', req.suite])
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if req.exclude:
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cmd.extend(['--exclude', ','.join(req.exclude)])
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if req.folder_name:
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cmd.extend(['--folder-name', req.folder_name])
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if req.limit is not None and str(req.limit).strip() != '':
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cmd.extend(['--limit', str(req.limit)])
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if req.thinking_max_tokens_scale != 1.0:
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cmd.extend(['--thinking-max-tokens-scale', str(req.thinking_max_tokens_scale)])
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if req.max_tokens_add:
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cmd.extend(['--max-tokens-add', str(req.max_tokens_add)])
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if req.dataset_dir:
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cmd.extend(['--dataset-dir', req.dataset_dir])
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if req.output_dir:
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cmd.extend(['--output-dir', req.output_dir])
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if req.config:
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cmd.extend(['--config', req.config])
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if req.tokenizer_path:
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cmd.extend(['--tokenizer-path', req.tokenizer_path])
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if req.judge_model:
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cmd.extend(['--judge-model', req.judge_model])
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if req.judge_api_url:
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cmd.extend(['--judge-api-url', req.judge_api_url])
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if req.judge_api_key:
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cmd.extend(['--judge-api-key', req.judge_api_key])
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if req.judge_max_tokens is not None:
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cmd.extend(['--judge-max-tokens', str(req.judge_max_tokens)])
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if not req.write_summary:
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cmd.append('--no-summary')
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return cmd
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async def _pump_stdout(job: JobRecord) -> None:
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assert job._proc is not None and job._log_fp is not None
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assert job._proc.stdout is not None
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try:
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while True:
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line = await job._proc.stdout.readline()
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if not line:
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break
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text = line.decode('utf-8', errors='replace')
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if job._log_fp and not job._log_fp.closed:
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job._log_fp.write(text)
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job._log_fp.flush()
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return_code = await job._proc.wait()
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job.return_code = return_code
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job.finished_at = datetime.now(timezone.utc).isoformat()
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if job.status in ('stopping', 'stopped'):
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job.status = 'stopped'
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job.error = job.error or 'Stopped by user'
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elif job.status == 'running':
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if return_code == 0:
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job.status = 'completed'
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else:
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job.status = 'failed'
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job.error = f'Process exited with code {return_code}'
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finally:
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job.pid = None
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job._proc = None
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if job._log_fp and not job._log_fp.closed:
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try:
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job._log_fp.close()
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except Exception:
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pass
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job._log_fp = None
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job.save()
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global _ACTIVE_JOB_ID
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if _ACTIVE_JOB_ID == job.id:
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_ACTIVE_JOB_ID = None
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async def start_job(req: LaunchRequest) -> JobRecord:
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global _ACTIVE_JOB_ID
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async with _LOCK:
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if _ACTIVE_JOB_ID and _ACTIVE_JOB_ID in JOBS and JOBS[_ACTIVE_JOB_ID].status == 'running':
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raise HTTPException(status_code=409, detail=f'已有任务在运行: {_ACTIVE_JOB_ID}')
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cmd = build_command(req)
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job_id = datetime.now().strftime('%Y%m%d_%H%M%S') + '_' + uuid.uuid4().hex[:8]
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job = JobRecord(job_id, req.model_dump(), cmd)
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job.log_path.write_text('', encoding='utf-8')
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env = os.environ.copy()
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env['PYTHONUNBUFFERED'] = '1'
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if req.api_key and req.api_key != 'EMPTY':
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env['OPENAI_API_KEY'] = req.api_key
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try:
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proc = await asyncio.create_subprocess_exec(
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*cmd,
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cwd=str(PROJECT_ROOT),
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.STDOUT,
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env=env,
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start_new_session=True,
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)
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except Exception as e:
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job.status = 'failed'
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job.error = str(e)
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job.finished_at = datetime.now(timezone.utc).isoformat()
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job.save()
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JOBS[job.id] = job
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raise HTTPException(status_code=500, detail=f'启动失败: {e}') from e
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job._proc = proc
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job.pid = proc.pid
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job.status = 'running'
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job.started_at = datetime.now(timezone.utc).isoformat()
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job._log_fp = open(job.log_path, 'a', encoding='utf-8')
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header = (
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f'# job {job.id}\n'
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f'# cwd: {PROJECT_ROOT}\n'
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f'# cmd: {" ".join(cmd)}\n'
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f'# started: {job.started_at}\n'
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f'{"=" * 60}\n'
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)
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job._log_fp.write(header)
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job._log_fp.flush()
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job.save()
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JOBS[job.id] = job
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_ACTIVE_JOB_ID = job.id
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asyncio.create_task(_pump_stdout(job))
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return job
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async def stop_job(job_id: str) -> JobRecord:
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job = JOBS.get(job_id)
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if not job:
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raise HTTPException(status_code=404, detail='任务不存在')
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if job.status != 'running' or job._proc is None:
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raise HTTPException(status_code=400, detail='任务未在运行')
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proc = job._proc
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job.status = 'stopping'
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job.error = 'Stopped by user'
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if job._log_fp and not job._log_fp.closed:
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try:
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job._log_fp.write('\n# stop requested by user\n')
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job._log_fp.flush()
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except Exception:
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pass
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job.save()
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try:
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os.killpg(proc.pid, signal.SIGTERM)
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except ProcessLookupError:
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pass
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except Exception:
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proc.terminate()
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try:
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await asyncio.wait_for(proc.wait(), timeout=15)
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except asyncio.TimeoutError:
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try:
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os.killpg(proc.pid, signal.SIGKILL)
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except Exception:
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try:
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proc.kill()
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except Exception:
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pass
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# Final status is finalized by _pump_stdout; wait briefly for it.
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for _ in range(20):
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if job.status in ('stopped', 'failed', 'completed'):
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break
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await asyncio.sleep(0.1)
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if job.status == 'stopping':
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job.status = 'stopped'
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job.finished_at = datetime.now(timezone.utc).isoformat()
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job.save()
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return job
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# ---------------------------------------------------------------------------
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# API routes
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# ---------------------------------------------------------------------------
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@app.get('/api/health')
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async def health():
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return {'ok': True, 'project_root': str(PROJECT_ROOT)}
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@app.get('/api/meta')
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async def meta():
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return _meta()
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@app.get('/api/jobs')
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async def list_jobs(limit: int = 50):
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items = sorted(JOBS.values(), key=lambda j: j.created_at, reverse=True)[:limit]
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return {'jobs': [j.to_dict() for j in items], 'active_job_id': _ACTIVE_JOB_ID}
|
|
|
|
|
|
@app.get('/api/jobs/{job_id}')
|
|
async def get_job(job_id: str):
|
|
job = JOBS.get(job_id)
|
|
if not job:
|
|
raise HTTPException(status_code=404, detail='任务不存在')
|
|
return job.to_dict()
|
|
|
|
|
|
@app.post('/api/jobs')
|
|
async def create_job(req: LaunchRequest):
|
|
job = await start_job(req)
|
|
return job.to_dict()
|
|
|
|
|
|
@app.post('/api/jobs/{job_id}/stop')
|
|
async def api_stop_job(job_id: str):
|
|
job = await stop_job(job_id)
|
|
return job.to_dict()
|
|
|
|
|
|
@app.get('/api/jobs/{job_id}/logs')
|
|
async def get_logs(job_id: str, offset: int = 0):
|
|
job = JOBS.get(job_id)
|
|
if not job:
|
|
raise HTTPException(status_code=404, detail='任务不存在')
|
|
if not job.log_path.exists():
|
|
return {'content': '', 'offset': 0, 'next_offset': 0, 'done': job.status not in ('queued', 'running')}
|
|
data = job.log_path.read_bytes()
|
|
if offset < 0:
|
|
offset = 0
|
|
if offset > len(data):
|
|
offset = len(data)
|
|
chunk = data[offset:].decode('utf-8', errors='replace')
|
|
return {
|
|
'content': chunk,
|
|
'offset': offset,
|
|
'next_offset': len(data),
|
|
'done': job.status not in ('queued', 'running'),
|
|
'status': job.status,
|
|
}
|
|
|
|
|
|
@app.get('/api/jobs/{job_id}/stream')
|
|
async def stream_logs(job_id: str, offset: int = 0):
|
|
job = JOBS.get(job_id)
|
|
if not job:
|
|
raise HTTPException(status_code=404, detail='任务不存在')
|
|
|
|
async def event_gen():
|
|
pos = max(0, offset)
|
|
while True:
|
|
if job.log_path.exists():
|
|
data = job.log_path.read_bytes()
|
|
if pos < len(data):
|
|
chunk = data[pos:].decode('utf-8', errors='replace')
|
|
pos = len(data)
|
|
payload = json.dumps({'type': 'log', 'content': chunk, 'offset': pos}, ensure_ascii=False)
|
|
yield f'data: {payload}\n\n'
|
|
|
|
status_payload = json.dumps({
|
|
'type': 'status',
|
|
'status': job.status,
|
|
'return_code': job.return_code,
|
|
'offset': pos,
|
|
}, ensure_ascii=False)
|
|
yield f'data: {status_payload}\n\n'
|
|
|
|
if job.status not in ('queued', 'running'):
|
|
done_payload = json.dumps({'type': 'done', 'status': job.status, 'offset': pos}, ensure_ascii=False)
|
|
yield f'data: {done_payload}\n\n'
|
|
break
|
|
await asyncio.sleep(0.8)
|
|
|
|
return StreamingResponse(event_gen(), media_type='text/event-stream')
|
|
|
|
|
|
@app.get('/api/custom-suites')
|
|
async def list_custom_suites():
|
|
return {'suites': _load_custom_suites()}
|
|
|
|
|
|
@app.post('/api/custom-suites')
|
|
async def upsert_custom_suite(req: CustomSuiteRequest):
|
|
name = req.name.strip()
|
|
if not name:
|
|
raise HTTPException(status_code=400, detail='组合名称不能为空')
|
|
if name in run_module.SUITES:
|
|
raise HTTPException(status_code=400, detail=f'名称与内置 suite 冲突: {name}')
|
|
datasets = []
|
|
seen = set()
|
|
for item in req.datasets:
|
|
d = str(item).strip()
|
|
if not d or d in seen:
|
|
continue
|
|
seen.add(d)
|
|
datasets.append(d)
|
|
if not datasets:
|
|
raise HTTPException(status_code=400, detail='请至少选择一个 benchmark')
|
|
suites = _load_custom_suites()
|
|
suites[name] = datasets
|
|
_save_custom_suites(suites)
|
|
return {'ok': True, 'name': name, 'datasets': datasets, 'suites': suites}
|
|
|
|
|
|
@app.delete('/api/custom-suites/{name}')
|
|
async def delete_custom_suite(name: str):
|
|
suites = _load_custom_suites()
|
|
if name not in suites:
|
|
raise HTTPException(status_code=404, detail='自定义组合不存在')
|
|
suites.pop(name, None)
|
|
_save_custom_suites(suites)
|
|
return {'ok': True, 'suites': suites}
|
|
|
|
|
|
@app.get('/api/results/overview')
|
|
async def results_overview(output_dir: Optional[str] = None):
|
|
root = Path(output_dir) if output_dir else DEFAULT_OUTPUT_DIR
|
|
return results_scan.scan_output_dir(root)
|
|
|
|
|
|
@app.get('/api/results/compare')
|
|
async def results_compare(
|
|
models: Optional[str] = None,
|
|
benchmarks: Optional[str] = None,
|
|
output_dir: Optional[str] = None,
|
|
):
|
|
root = Path(output_dir) if output_dir else DEFAULT_OUTPUT_DIR
|
|
folder_list = [x.strip() for x in (models or '').split(',') if x.strip()] or None
|
|
bench_list = [x.strip() for x in (benchmarks or '').split(',') if x.strip()] or None
|
|
return results_scan.compare_models(root, folders=folder_list, benchmarks=bench_list)
|
|
|
|
|
|
@app.get('/')
|
|
async def index():
|
|
return FileResponse(STATIC_DIR / 'index.html')
|
|
|
|
|
|
@app.get('/results')
|
|
async def results_page():
|
|
return FileResponse(STATIC_DIR / 'results.html')
|
|
|
|
|
|
app.mount('/static', StaticFiles(directory=str(STATIC_DIR)), name='static')
|
|
|
|
|
|
if __name__ == '__main__':
|
|
import uvicorn
|
|
host = os.environ.get('WEBUI_HOST', '0.0.0.0')
|
|
port = int(os.environ.get('WEBUI_PORT', '7860'))
|
|
uvicorn.run('server:app', host=host, port=port, reload=False)
|