Load full artifact scan in dashboard

backend/app/agents/evaluation_agent.py

@@ -54,7 +54,10 @@ def evaluate_project() -> dict:
         and "resultFamilyFilter" in frontend_text
         and "resultRoleFilter" in frontend_text
         and "familyOptions" in frontend_text
-        and "roleOptions" in frontend_text,
+        and "roleOptions" in frontend_text
+        and "/api/results?limit=1000" in frontend_text
+        and "setResults(resultsNext)" in frontend_text
+        and "slice(0, 240)" not in frontend_text,
         "job_progress_ui": "JobProgressBar" in frontend_text and "progressTrack" in frontend_text,
         "runtime_readiness_ui": "runtimeReadiness" in frontend_text and "环境就绪" in frontend_text,
         "capability_matrix_ui": "capabilities" in frontend_text and "全功能矩阵" in frontend_text,

backend/app/main.py

@@ -4,7 +4,7 @@ import asyncio
 import json
 from pathlib import Path
 
-from fastapi import FastAPI, File, HTTPException, UploadFile
+from fastapi import FastAPI, File, HTTPException, Query, UploadFile
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import FileResponse, StreamingResponse
 
@@ -211,12 +211,12 @@ async def api_job_events(job_id: str):
 
 
 @app.get("/api/results")
-def api_results() -> list[dict]:
-    return scan_results()
+def api_results(limit: int = Query(1000, ge=1, le=5000)) -> list[dict]:
+    return scan_results(limit=limit)
 
 
 @app.get("/api/results/curves")
-def api_result_curves(limit: int = 100) -> list[dict]:
+def api_result_curves(limit: int = Query(100, ge=1, le=500)) -> list[dict]:
     return scan_training_curves(limit=limit)