# -*- coding: utf-8 -*- """LLM 速度测试台 - Flask 主应用""" import io import json from flask import Flask, jsonify, request, send_file, send_from_directory import config import database as db from llm_providers import DEFAULT_URLS, ProviderError, call_stream from tester import TestRunner app = Flask(__name__, static_folder="static", static_url_path="") app.json.ensure_ascii = False db.init_db() RUNNERS = {} # test_id -> TestRunner @app.route("/") def index(): return send_from_directory(app.static_folder, "index.html") @app.route("/api/health") def health(): running = [tid for tid, r in RUNNERS.items() if r.is_alive()] return jsonify({"ok": True, "port": config.PORT, "running_tests": running}) def _fill_defaults(cfg): p = cfg.get("provider", "openai") if not cfg.get("base_url"): cfg["base_url"] = DEFAULT_URLS.get(p, "") if cfg.get("temperature") is None: cfg["temperature"] = 0.7 return cfg # ───────────────────────── 提供商配置 ───────────────────────── @app.route("/api/configs", methods=["GET"]) def list_configs(): return jsonify(db.list_configs()) @app.route("/api/configs", methods=["POST"]) def add_config(): cfg = request.get_json(force=True) or {} if not cfg.get("name"): return jsonify({"ok": False, "error": "请填写配置名称"}), 400 cid = db.add_config(cfg) return jsonify({"ok": True, "id": cid}) @app.route("/api/configs/", methods=["GET"]) def get_one_config(cid): c = db.get_config(cid) if not c: return jsonify({"ok": False, "error": "配置不存在"}), 404 return jsonify(c) @app.route("/api/configs/", methods=["PUT"]) def update_config(cid): cfg = request.get_json(force=True) or {} old = db.get_config(cid) if not old: return jsonify({"ok": False, "error": "配置不存在"}), 404 db.update_config(cid, cfg) return jsonify({"ok": True, "id": cid}) @app.route("/api/configs/", methods=["DELETE"]) def del_config(cid): db.delete_config(cid) return jsonify({"ok": True}) @app.route("/api/configs/test", methods=["POST"]) def test_config(): cfg = _fill_defaults(request.get_json(force=True) or {}) if not cfg.get("api_key"): return jsonify({"ok": False, "error": "请填写 API Key"}), 400 try: # 连接测试:只要流式请求成功返回(哪怕正文为空/只有思维链)都算连通 m = call_stream(cfg, "你好,请简要回答:1+1=?", {"max_tokens": 32, "avoid_cache": False}) note = "" if not (m.get("output_tokens") or m.get("output_chars")): note = "(连接正常,但本次未返回正文内容,可能为推理型模型)" return jsonify({"ok": True, "total_ms": m["total_ms"], "metrics": m, "note": note}) except ProviderError as e: return jsonify({"ok": False, "error": str(e)}) except Exception as e: return jsonify({"ok": False, "error": str(e)}) # ───────────────────────── 测试 ───────────────────────── @app.route("/api/tests", methods=["POST"]) def start_test(): body = request.get_json(force=True) or {} cfg = _fill_defaults(body.get("config") or {}) gen = body.get("gen") or {} if not cfg.get("api_key"): return jsonify({"ok": False, "error": "请填写 API Key"}), 400 if not cfg.get("model"): return jsonify({"ok": False, "error": "请填写模型名称"}), 400 tid = db.create_test(cfg, gen) runner = TestRunner(tid, cfg, gen) RUNNERS[tid] = runner runner.start() return jsonify({"ok": True, "id": tid}) @app.route("/api/tests", methods=["GET"]) def list_tests(): try: limit = int(request.args.get("limit", 100)) except ValueError: limit = 100 return jsonify(db.list_tests(max(1, min(limit, 1000)))) @app.route("/api/tests/", methods=["GET"]) def get_test(tid): t = db.get_test(tid) if not t: return jsonify({"ok": False, "error": "测试不存在"}), 404 t["runs"] = db.get_runs(tid) t["logs"] = db.get_logs(tid) _mask_cfg(t.get("config")) return jsonify(t) @app.route("/api/tests//logs", methods=["GET"]) def get_logs(tid): after = int(request.args.get("after", 0)) data = db.get_logs_after(tid, after) if data is None: return jsonify({"ok": False, "error": "测试不存在"}), 404 return jsonify(data) @app.route("/api/tests//cancel", methods=["POST"]) def cancel_test(tid): r = RUNNERS.get(tid) if r and r.is_alive(): r.request_cancel() return jsonify({"ok": True, "msg": "正在停止..."}) return jsonify({"ok": False, "msg": "测试未在运行"}) @app.route("/api/tests/", methods=["DELETE"]) def del_test(tid): db.delete_test(tid) RUNNERS.pop(tid, None) return jsonify({"ok": True}) @app.route("/api/tests//export.json") def export_json(tid): t = db.get_test(tid) if not t: return jsonify({"ok": False, "error": "测试不存在"}), 404 t["runs"] = db.get_runs(tid) t["logs"] = db.get_logs(tid) _mask_cfg(t.get("config")) return jsonify(t) def _mask_cfg(cfg): """对外隐藏 API Key,仅保留前几位便于识别""" if cfg and cfg.get("api_key"): k = cfg["api_key"] cfg["api_key"] = k[:4] + "****" if len(k) > 6 else "****" return cfg # ───────────────────────── Excel 导出 ───────────────────────── @app.route("/api/tests//export.xlsx") def export_xlsx(tid): t = db.get_test(tid) if not t: return jsonify({"ok": False, "error": "测试不存在"}), 404 t["runs"] = db.get_runs(tid) t["logs"] = db.get_logs(tid) try: data = _build_xlsx(t) except Exception as e: return jsonify({"ok": False, "error": "导出失败: %s" % e}), 500 return send_file(data, as_attachment=True, download_name="llm_speed_test_%d.xlsx" % tid, mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet") def _build_xlsx(t): from openpyxl import Workbook from openpyxl.styles import Alignment, Font, PatternFill s = t.get("summary") or {} g = t.get("gen") or {} cfg = t.get("config") or {} by_length = s.get("by_length") or {} runs = t.get("runs") or [] logs = t.get("logs") or [] wb = Workbook() head_fill = PatternFill("solid", fgColor="2A3550") head_font = Font(color="FFFFFF", bold=True) title_font = Font(bold=True, size=12) def style_header(ws, row, ncol): for c in range(1, ncol + 1): cell = ws.cell(row=row, column=c) cell.fill = head_fill cell.font = head_font cell.alignment = Alignment(horizontal="center", vertical="center") # ── Sheet1 汇总 ── ws = wb.active ws.title = "汇总" ws.append(["LLM 速度测试报告"]) ws.cell(1, 1).font = Font(bold=True, size=14) info = [ ["测试编号", "#%d" % t["id"]], ["测试名称", t.get("name") or "(未命名)"], ["创建时间", t.get("created_at", "")], ["状态", t.get("status", "")], ["提供商", t.get("provider", "")], ["模型", t.get("model", "")], ["Base URL", cfg.get("base_url") or "(默认)"], ["上下文长度列表", " / ".join(str(x) for x in (g.get("context_lengths") or []))], ["生成长度(max tokens)", g.get("max_tokens", 128)], ["每个长度采样次数", g.get("samples", 2)], ["预热(空转)", "开" if g.get("warmup", True) else "关"], ["避免缓存", "开" if g.get("avoid_cache") else "关"], ["采样(成功/总数)", "%s / %s" % (s.get("samples_ok"), s.get("samples_total"))], ["校准 字符/token", s.get("calibration_chars_per_token") or "—"], ["错误信息", t.get("error") or ""], ] for row in info: ws.append(row) ws.cell(15, 1).font = title_font r0 = len(info) + 2 overall = [ ["首字延迟(ms)", s.get("avg_ttft_ms"), s.get("max_ttft_ms"), s.get("min_ttft_ms")], ["预填充速度(tok/s)", s.get("avg_prefill_speed"), s.get("max_prefill_speed"), s.get("min_prefill_speed")], ["解码速度(tok/s)", s.get("avg_decode_speed"), s.get("max_decode_speed"), s.get("min_decode_speed")], ["提示词(tok)", s.get("avg_prompt_tokens"), None, None], ["输出(tok)", s.get("avg_output_tokens"), None, None], ["总耗时(ms)", s.get("avg_total_ms"), s.get("max_total_ms"), s.get("min_total_ms")], ] ws.cell(r0, 1, "整体统计指标(平均 / 最大 / 最小)").font = title_font for j, c in enumerate(["指标", "平均", "最大", "最小"], start=1): ws.cell(row=r0 + 1, column=j, value=c) style_header(ws, r0 + 1, 4) for i, row in enumerate(overall, start=r0 + 2): for j, v in enumerate(row, start=1): ws.cell(row=i, column=j, value=v) # 按上下文长度分组 r1 = r0 + len(overall) + 3 ws.cell(r1, 1, "按上下文长度分组").font = title_font cols = ["上下文长度(tok)", "采样(成功/总数)", "首字ms", "预填充tok/s", "解码tok/s", "提示词tok", "输出tok", "总耗时ms"] ws.append([]) for j, c in enumerate(cols, start=1): ws.cell(row=r1 + 1, column=j, value=c) style_header(ws, r1 + 1, len(cols)) if by_length: rr = r1 + 2 for L in sorted(int(k) for k in by_length): bl = by_length[str(L)] if str(L) in by_length else by_length[L] ws.cell(row=rr, column=1, value=L) ws.cell(row=rr, column=2, value="%s / %s" % (bl.get("samples_ok"), bl.get("samples_total"))) ws.cell(row=rr, column=3, value=bl.get("avg_ttft_ms")) ws.cell(row=rr, column=4, value=bl.get("avg_prefill_speed")) ws.cell(row=rr, column=5, value=bl.get("avg_decode_speed")) ws.cell(row=rr, column=6, value=bl.get("avg_prompt_tokens")) ws.cell(row=rr, column=7, value=bl.get("avg_output_tokens")) ws.cell(row=rr, column=8, value=bl.get("avg_total_ms")) rr += 1 else: ws.cell(row=r1 + 2, column=1, value="(无成功采样数据)") for col, w in zip("ABCDEFGH", [22, 20, 12, 14, 14, 12, 12, 14]): ws.column_dimensions[col].width = w # ── Sheet2 采样明细 ── ws2 = wb.create_sheet("采样明细") h2 = ["序号", "上下文长度tok", "提示词tok", "缓存tok", "首字ms", "预填充tok/s", "输出tok", "解码tok/s", "总耗时ms", "备注"] ws2.append(h2) style_header(ws2, 1, len(h2)) for i, r in enumerate(runs, start=1): m = r.get("metrics") or {} ws2.append([ i, r.get("context_length") or m.get("context_length") or "", m.get("prompt_tokens") or "", m.get("cached_tokens") if m.get("cached_tokens") else "", m.get("ttft_ms"), m.get("prefill_speed"), m.get("output_tokens"), m.get("decode_speed"), m.get("total_ms"), r.get("error") or "OK", ]) for col, w in zip("ABCDEFGHIJ", [8, 14, 12, 10, 12, 14, 12, 14, 12, 30]): ws2.column_dimensions[col].width = w # ── Sheet3 日志 ── ws3 = wb.create_sheet("日志") ws3.append(["相对时间(s)", "级别", "内容"]) style_header(ws3, 1, 3) for l in logs: ws3.append([l.get("rel", 0), l.get("level", ""), l.get("msg", "")]) for col, w in zip("ABC", [14, 10, 90]): ws3.column_dimensions[col].width = w bio = io.BytesIO() wb.save(bio) bio.seek(0) return bio if __name__ == "__main__": app.run(host=config.HOST, port=config.PORT, threaded=True, debug=False)