feat: 分离 Alpha 检查与提交限制，优化检查统计与前端展示

.scratch/submission-limit-classification/issues/01-implementation.md

@@ -0,0 +1,11 @@
+# 分离 Alpha 检查和提交限制
+Type: task
+Status: ready-for-agent
+
+用户已批准实现。保留 REGULAR_SUBMISSION 原始证据，将其从 Alpha 失败统计及待定判定中分离；HTTP/MCP 提供分类摘要，页面单独展示缓存限制；迁移仅重算历史 check_type。未知检查保持保守，不推断实时额度、恢复时间或正式提交资格。
+
+验证：分类边界、模拟平台检查到持久化和 MCP/HTTP 返回、研究筛选、历史迁移、后端检查及前端构建。
+
+## 完成记录
+
+已实现并完成本地验证：后端 471 项全量测试通过；最终调整后 23 项专项测试通过；Ruff 与 git diff --check 通过；前端构建通过；Alpha 管理和工作空间 3 项浏览器回归通过。迁移 0018 在隔离 SQLite 中验证 503 条记录的升级、降级、再升级和原始证据保留。尚未部署或对业务数据库执行迁移；Docker 后端部署启动时按既有流程执行 alembic upgrade head。

backend/app/alphas.py

@@ -7,6 +7,7 @@ from datetime import datetime
 from sqlalchemy import or_, select, update
 
 from .models import Alpha, Research, ResearchTag, SelfCorrelation, now
+from .platform_checks import split_checks, submission_limits
 from .research.provenance import source_alpha_ids
 
 METRIC_FIELDS = (
@@ -16,23 +17,24 @@ METRIC_FIELDS = (
 
 
 def failed_checks(checks):
-    """Return failed platform check names; local correlation never changes this list."""
+    """Return failed Alpha check names, excluding submission limits and local correlation."""
     return [
         check.get("name") if isinstance(check.get("name"), str) else "未命名检查"
-        for check in checks if isinstance(check, dict) and check.get("result") == "FAIL"
+        for check in split_checks(checks)[0] if isinstance(check, dict) and check.get("result") == "FAIL"
     ] if isinstance(checks, list) else []
 
 
 def snapshot_columns(settings, metrics, checks):
     """Derive list fields from a platform snapshot, preserving missing metrics as null.
 
-    Only explicit FAIL results count. Empty, malformed and unfinished checks are
+    Submission limits are excluded. Only explicit Alpha FAIL results count.
+    Empty, malformed and unfinished Alpha checks are
     pending; all known checks passing without PROD_CORRELATION is only a pre-check.
     No submission eligibility or activity eligibility is inferred here.
     """
     settings = settings if isinstance(settings, dict) else {}
     metrics = metrics if isinstance(metrics, dict) else {}
-    checks = checks if isinstance(checks, list) else []
+    checks, _ = split_checks(checks)
     valid = [check for check in checks if isinstance(check, dict)]
     failures = len(failed_checks(checks))
     by_name = {check["name"]: check for check in valid if isinstance(check.get("name"), str)}
@@ -64,6 +66,15 @@ def snapshot_columns(settings, metrics, checks):
     }
 
 
+def check_summary(checks):
+    """Separate cached Alpha findings from submission limits; infer no live eligibility."""
+    return {
+        "check_type": snapshot_columns({}, {}, checks)["check_type"],
+        "failed_checks": failed_checks(checks),
+        "submission_limits": submission_limits(checks),
+    }
+
+
 def submission_condition(submission):
     """Match the platform list contract; a missing status is never assumed submitted."""
     return Alpha.status == "UNSUBMITTED" if submission == "UNSUBMITTED" else Alpha.status != "UNSUBMITTED"

backend/app/mcp_api/server.py

@@ -24,7 +24,7 @@ TOOLS = {
     "search_data_preparations": (c.PreparationSearch, "preparations", "research:read", "分页查询数据准备集合，返回固定范围、字段数及版本。研究可使用多个集合，各集合范围独立。"),
     "get_data_preparation": (c.PreparationRead, "preparation", "research:read", "按集合 ID 与版本分页预览字段、类型、描述和数据集归属。提交回测时携带 preparation_refs，由服务端核对版本并固定独立输入快照；空集合不能用于研究。"),
     "create_research_template": (c.CreateTemplate, "create_template", "research:write", "将调用方大模型研究后自行总结的参数化模板保存到模板工坊，供用户后续批量回测。先用 get_backtest_results 阅读实际指标和检查，选择 1–20 个已完成采集的 source_item_ids，并说明 hypothesis；不要把 completed 当作检查通过。template 使用 {name} 占位符及逐一对应的 variables，字段变量须声明 MATRIX/VECTOR/GROUP，VECTOR 聚合须明确写入表达式。提供唯一名称和 idempotency_key，可附 reference。返回模板 ID、版本和理论组合数；仅核验结构及来源，不验证所有参数组合，不再次调用模型、不执行回测、不覆盖已有模板。"),
-    "get_submission_check": (c.SelfCorrelationReference, "submission_check_context", "research:read", "读取已导入 Alpha 的表达式、Description、snapshot 和缓存检查结果；不发起检查。先核对或生成三段 Description，再调用 check_submission。"),
+    "get_submission_check": (c.SelfCorrelationReference, "submission_check_context", "research:read", "读取已导入 Alpha 的表达式、Description、snapshot 和缓存检查结果；check_summary 分离 Alpha 检查和 REGULAR_SUBMISSION 提交限制，原始 checks 保留；限制不代表当前额度。不发起检查。先核对或生成三段 Description，再调用 check_submission。"),
     "check_submission": (c.SubmissionCheck, "check_submission", "research:refresh", "对单个待提交 Alpha 写回已获用户授权的 Description 并调用平台 GET /check，返回 job_id。须先用 get_submission_check 获取 snapshot；保留本地自相关门槛和冲突保护。通过 get_refresh_job 查进度、get_submission_check 读结果。无论检查结果如何，都不会调用 /submit 或正式提交 Alpha。"),
     "get_worldquant_connection": (c.ConnectionReference, "connection", "research:read", "读取 WorldQuant 连接状态及可选认证 job_id 的进度，不发起认证；人工验证在网页完成。"),
     "authenticate_worldquant": (c.Authentication, "authenticate", "research:refresh", "使用服务端已保存凭据连接或重新认证 WorldQuant，返回 job_id；action=connect（默认）或人工验证后 verify。用 get_worldquant_connection 查询，不接收密码，不修改账户配置。"),
@@ -38,7 +38,7 @@ TOOLS = {
     "search_backtests": (c.History, "history", "research:read", "分页查历史候选与固定设置；candidates 按完整输入精确匹配，不推断数学等价。"),
     "submit_backtests": (c.Submit, "submit", "backtests:execute", "执行用户已授权的固定批次，自动留痕并立即返回运行 ID。可携带 preparation_refs 选择集合，版本变化须重新读取；每项必须完整设置；重复默认拒绝，rerun 明确重跑。不需要研究资产。"),
     "get_backtest": (c.RunReference, "run", "research:read", "读取真实运行进度、提交数量和可选增量事件；受理不等于成功。"),
-    "get_backtest_results": (c.Results, "results", "research:read", "分页读取固定快照指标、全部非通过检查及三层状态；缺失指标不补零。"),
+    "get_backtest_results": (c.Results, "results", "research:read", "分页读取固定快照指标、Alpha 非通过检查及三层状态；REGULAR_SUBMISSION 单列 submission_limits，不计入 Alpha 失败统计。缺失指标不补零。"),
     "get_backtest_artifact": (c.Artifact, "artifact", "research:read", "分页读取候选脱敏快照的顶层键值或独立采集的 PnL；缺缓存不自动刷新。"),
     "control_backtest": (c.Control, "control", "backtests:control", "对已授权运行暂停、继续、停止或恢复采集；不远程取消、不重提未知模拟。需要版本和幂等键。"),
 }

backend/app/platform_checks.py

@@ -0,0 +1,23 @@
+"""Classify platform evidence without discarding unknown checks or inferring eligibility."""
+
+
+def is_submission_limit(check):
+    """Recognize only the confirmed account-limit check; unknown names remain Alpha checks."""
+    return isinstance(check, dict) and check.get("name") == "REGULAR_SUBMISSION"
+
+
+def split_checks(checks):
+    """Return Alpha checks and submission limits, retaining malformed Alpha evidence."""
+    items = checks if isinstance(checks, list) else []
+    return ([c for c in items if not is_submission_limit(c)],
+            [c for c in items if is_submission_limit(c)])
+
+
+def submission_limits(checks):
+    """Summarize the observed limit, never the account's current allowance or reset time."""
+    _, limits = split_checks(checks)
+    status = "blocked" if any(c.get("result") == "FAIL" for c in limits) else (
+        "not_blocked" if limits and all(c.get("result") == "PASS" for c in limits) else "unknown"
+    )
+    return {"status": status, "checks": limits,
+            "meaning": "仅反映缓存观测时的提交限制，不代表当前额度或正式提交资格"}

backend/app/research/evaluations.py

@@ -7,6 +7,7 @@ from sqlalchemy import select
 
 from ..backtests.service import Backtests, uid
 from ..models import Alpha, ResearchEvaluation, ResearchExperiment, SelfCorrelation
+from ..platform_checks import split_checks, submission_limits
 from .experiments import Experiments
 from .serialization import encode_snapshot as jsonable_encoder
 
@@ -30,13 +31,14 @@ def assess(snapshot, rules):
         evidence.append(
             {"metric": key, "value": value, "bound": bound, "direction": direction, "status": status}
         )
-    checks = metrics.get("checks") or []
+    raw_checks = metrics.get("checks") or []
+    checks, _ = split_checks(raw_checks)
     if not checks:
         missing.append("platform_checks")
     for check in checks:
-        if check.get("result") == "FAIL":
+        if isinstance(check, dict) and check.get("result") == "FAIL":
             failed.append(f"platform:{check.get('name', 'unknown')}")
-    unknown_checks = [check for check in checks if check.get("result") not in ("PASS", "FAIL")]
+    unknown_checks = [check for check in checks if not isinstance(check, dict) or check.get("result") not in ("PASS", "FAIL")]
     if unknown_checks:
         missing.append("unresolved_platform_checks")
     return {
@@ -44,7 +46,8 @@ def assess(snapshot, rules):
         "evidence": evidence,
         "failed": failed,
         "missing": missing,
-        "existing_platform_checks": checks,
+        "existing_platform_checks": raw_checks,
+        "submission_limits": submission_limits(raw_checks),
         "meaning": "本地研究筛选结果，不是官方提交资格",
     }
 

backend/app/research_access/queries.py

@@ -7,6 +7,7 @@ from sqlalchemy import func, select
 from ..alphas import number, sanitize
 from ..backtests.contracts import fingerprint
 from ..models import BacktestItem, BacktestResult, BacktestRun, Pnl
+from ..platform_checks import is_submission_limit
 from ..research.serialization import encode_snapshot
 
 
@@ -26,6 +27,8 @@ def checks_summary(snapshot):
     if "checks" in snapshot:
         raw = snapshot["checks"]
         checks.extend({"section": "root", "raw": c} for c in (raw if isinstance(raw, list) else [raw]))
+    submission_checks = [c for c in checks if is_submission_limit(c["raw"])]
+    checks = [c for c in checks if not is_submission_limit(c["raw"])]
     counts = Counter({key: 0 for key in ("PASS", "FAIL", "PENDING", "WARNING", "UNKNOWN")})
     non_pass = []
     for check in checks:
@@ -36,7 +39,9 @@ def checks_summary(snapshot):
         if state != "PASS":
             non_pass.append({**check, "status": state})
     return {"status": "unknown" if not checks else "reported", "counts": dict(counts),
-            "total": len(checks), "non_pass": non_pass}
+            "total": len(checks), "non_pass": non_pass,
+            "submission_limits": submission_checks,
+            "meaning": "Alpha 检查统计不含提交限制；限制为快照观测，不代表实时提交资格"}
 
 
 def item_summary(item, result):

backend/app/research_access/service.py

@@ -9,6 +9,7 @@ from uuid import uuid4
 
 from sqlalchemy import func, select
 
+from ..alphas import check_summary
 from ..backtests.contracts import ControlInput, DraftInput, PreviewInput, Source, StartInput, fingerprint
 from ..backtests.service import Backtests
 from ..business import Business
@@ -221,7 +222,7 @@ class ResearchAccess:
         return {"alpha_id": args.alpha_id, "snapshot": submission_fingerprint(context),
                 **context, "descriptions": {key: item["description"] for key, item in context["sections"].items()},
                 "can_check": alpha.status == "UNSUBMITTED" and await correlation_allows_check(self.db, args.alpha_id),
-                "checks": alpha.checks, "source": "local_cache", "production_submission": False,
+                "checks": alpha.checks, "check_summary": check_summary(alpha.checks), "source": "local_cache", "production_submission": False,
                 "job_id": job.id if job else None, "job_status": job.status if job else None,
                 "checked_at": job.checkpoint.get("checked_at") if job else None}
 

backend/app/submission.py

@@ -15,7 +15,7 @@ from pydantic_ai.usage import UsageLimits
 from sqlalchemy import select
 
 from .ai.provider import public_error
-from .alphas import code, sanitize, snapshot_columns, submission_condition
+from .alphas import check_summary, code, sanitize, snapshot_columns, submission_condition
 from .jobs import ACTIVE
 from .models import Account, AISettings, Alpha, Job, JobItem, SelfCorrelation, now
 from .schemas import Contract, JobOutput, valid_ids
@@ -206,6 +206,8 @@ def router(runner, ai):
             )
             return {
                 "snapshot": fingerprint(context),
+                "checks": alpha.checks,
+                "check_summary": check_summary(alpha.checks),
                 "sections": context["sections"],
                 "descriptions": {key: item["description"] for key, item in context["sections"].items()},
                 "model": config.description_model,

backend/migrations/versions/0018_submission_limit_classification.py

@@ -0,0 +1,55 @@
+"""Reclassify cached Alpha checks without changing upstream evidence."""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0018"
+down_revision = "0017"
+branch_labels = None
+depends_on = None
+
+
+def check_type(checks, separate_limits):
+    """Frozen classification for reversible data migration; never import mutable app code."""
+    checks = checks if isinstance(checks, list) else []
+    if separate_limits:
+        checks = [c for c in checks if not (isinstance(c, dict) and c.get("name") == "REGULAR_SUBMISSION")]
+    valid = [c for c in checks if isinstance(c, dict)]
+    failures = sum(c.get("result") == "FAIL" for c in valid)
+    if failures:
+        return "FAIL_1" if failures == 1 else "FAIL_2"
+    if not checks or len(valid) != len(checks) or any(c.get("result") != "PASS" for c in valid):
+        return "PENDING"
+    return "PASS" if any(c.get("name") == "PROD_CORRELATION" for c in valid) else "PRE_CHECK"
+
+
+def reclassify(separate_limits):
+    """Update only affected derived columns, in bounded batches; raw snapshots stay intact."""
+    table = sa.table("alphas", sa.column("id", sa.String()), sa.column("checks", sa.JSON()),
+                     sa.column("check_type", sa.String()))
+    connection = op.get_bind()
+    last_id = None
+    while True:
+        query = sa.select(table.c.id, table.c.checks).order_by(table.c.id).limit(500)
+        if last_id is not None:
+            query = query.where(table.c.id > last_id)
+        rows = connection.execute(query).mappings().all()
+        if not rows:
+            break
+        updates = [
+            {"snapshot_id": row["id"], "classification": check_type(row["checks"], separate_limits)}
+            for row in rows if isinstance(row["checks"], list) and any(
+                isinstance(c, dict) and c.get("name") == "REGULAR_SUBMISSION" for c in row["checks"])
+        ]
+        if updates:
+            connection.execute(table.update().where(table.c.id == sa.bindparam("snapshot_id"))
+                               .values(check_type=sa.bindparam("classification")), updates)
+        last_id = rows[-1]["id"]
+
+
+def upgrade():
+    reclassify(True)
+
+
+def downgrade():
+    reclassify(False)

backend/tests/test_mcp_submission.py

@@ -12,10 +12,13 @@ from tests.test_submission import FIELDS, Description, setup
 
 @pytest.mark.parametrize("kind", ["REGULAR", "SUPER"])
 @pytest.mark.parametrize("result", ["PASS", "FAIL"])
-async def test_mcp_check_never_submits(mcp_app, kind, result, monkeypatch):
+@pytest.mark.parametrize("limited", [False, True])
+async def test_mcp_check_never_submits(mcp_app, kind, result, limited, monkeypatch):
     from tests import test_submission
 
     checks = [{"name": "PROD_CORRELATION", "result": result}]
+    if limited:
+        checks.append({"name": "REGULAR_SUBMISSION", "result": "FAIL"})
     monkeypatch.setattr(test_submission, "CHECKS", checks)
     sections = ["regular"] if kind == "REGULAR" else ["selection", "combo"]
     platform = await setup(mcp_app, alpha(type=kind, **{s: {"code": "rank(close)"} for s in sections}))
@@ -35,6 +38,8 @@ async def test_mcp_check_never_submits(mcp_app, kind, result, monkeypatch):
     assert job["status"] == "completed", job
     data = await invoke(mcp_app, principal, "get_submission_check", {"alpha_id": "alpha1"})
     assert data["checks"] == checks and data["checked_at"]
+    assert data["check_summary"]["check_type"] == ("PASS" if result == "PASS" else "FAIL_1")
+    assert data["check_summary"]["submission_limits"]["status"] == ("blocked" if limited else "unknown")
     assert data["production_submission"] is False
     assert platform.patches == [{s: {"description": args["descriptions"][s]} for s in sections}]
     assert platform.calls.count(("GET", "/alphas/alpha1/check")) == 2

backend/tests/test_submission_limit_migration.py

@@ -0,0 +1,51 @@
+"""Upgrade cached classifications across batches while preserving platform evidence."""
+
+from pathlib import Path
+
+import sqlalchemy as sa
+from alembic import command
+from alembic.config import Config
+from cryptography.fernet import Fernet
+
+from app.models import now
+
+
+def test_limit_migration_is_reversible_and_preserves_snapshots(tmp_path, monkeypatch):
+    path = tmp_path / "limits.db"
+    monkeypatch.setenv("DATABASE_URL", f"sqlite+aiosqlite:///{path}")
+    monkeypatch.setenv("ADMIN_PASSWORD", "migration-test-only")
+    monkeypatch.setenv("ENCRYPTION_KEY", Fernet.generate_key().decode())
+    monkeypatch.setenv("WQ_EMAIL", "")
+    monkeypatch.setenv("WQ_PASSWORD", "")
+    root = Path(__file__).resolve().parents[1]
+    config = Config(str(root / "alembic.ini"))
+    config.set_main_option("script_location", str(root / "migrations"))
+    command.upgrade(config, "0017")
+    engine = sa.create_engine(f"sqlite:///{path}")
+    table = sa.Table("alphas", sa.MetaData(), autoload_with=engine)
+    limit = {"name": "REGULAR_SUBMISSION", "result": "FAIL"}
+    patterns = [
+        ([{"name": "PROD_CORRELATION", "result": "PASS"}, limit], "FAIL_1", "PASS"),
+        ([{"name": "LOW_SHARPE", "result": "FAIL"}, limit], "FAIL_2", "FAIL_1"),
+        ([limit], "FAIL_1", "PENDING"),
+        ([{"name": "LOW_SHARPE", "result": "PASS"}, limit], "FAIL_1", "PRE_CHECK"),
+        ([{"name": "UNKNOWN", "result": "FAIL"}], "FAIL_1", "FAIL_1"),
+    ]
+    with engine.begin() as db:
+        db.execute(table.insert(), [
+            {"id": f"old{i:04}", "hidden": False, "settings": {}, "os_metrics": {},
+             "is_metrics": {"checks": patterns[i % 5][0]}, "checks": patterns[i % 5][0],
+             "check_type": patterns[i % 5][1], "synced_at": now(),
+             "raw": {"is": {"checks": patterns[i % 5][0]}}}
+            for i in range(503)
+        ])
+    for version, position in [("0018", 2), ("0017", 1), ("0018", 2)]:
+        (command.upgrade if version == "0018" else command.downgrade)(config, version)
+        with engine.connect() as db:
+            rows = db.execute(sa.select(table).order_by(table.c.id)).mappings().all()
+            assert len(rows) == 503
+            for i, row in enumerate(rows):
+                assert row["check_type"] == patterns[i % 5][position]
+                assert row["checks"] == row["is_metrics"]["checks"] == row["raw"]["is"]["checks"] == patterns[i % 5][0]
+    command.check(config)
+    engine.dispose()

backend/tests/test_submission_limits.py

@@ -0,0 +1,76 @@
+"""Submission limits must not disqualify an otherwise passing Alpha."""
+
+import pytest
+
+from app.alphas import failed_checks, snapshot_columns
+
+LIMIT = {"name": "REGULAR_SUBMISSION", "result": "FAIL", "value": 4, "limit": 4}
+
+
+@pytest.mark.parametrize("checks,expected", [
+    ([{"name": "PROD_CORRELATION", "result": "PASS"}], "PASS"),
+    ([{"name": "LOW_SHARPE", "result": "PASS"}], "PRE_CHECK"),
+    ([{"name": "LOW_SHARPE", "result": "FAIL"}], "FAIL_1"),
+    ([], "PENDING"),
+    ([None], "PENDING"),
+    ([{"name": "UNKNOWN_CHECK", "result": "FAIL"}], "FAIL_1"),
+    ([{"name": "PROD_CORRELATION", "result": "PENDING"}], "PENDING"),
+])
+def test_limit_does_not_change_alpha_verdict(checks, expected):
+    original = [*checks, LIMIT]
+    assert snapshot_columns({}, {}, original)["check_type"] == expected
+    assert "REGULAR_SUBMISSION" not in failed_checks(original)
+    assert original[-1] == LIMIT
+
+
+@pytest.mark.parametrize("result", ["PASS", "PENDING", "WARNING", "UNRECOGNIZED"])
+def test_all_limit_states_are_separate(result):
+    from app.alphas import check_summary
+
+    checks = [{"name": "PROD_CORRELATION", "result": "PASS"}, {**LIMIT, "result": result}]
+    summary = check_summary(checks)
+    assert summary["check_type"] == "PASS"
+    assert summary["submission_limits"]["status"] == ("not_blocked" if result == "PASS" else "unknown")
+
+
+def test_research_and_mcp_evidence_keep_limits_separate():
+    from types import SimpleNamespace
+
+    from app.research.evaluations import assess
+    from app.research_access.queries import checks_summary
+
+    snapshot = {"is": {"sharpe": 2, "fitness": 2, "turnover": 0.1,
+                       "checks": [{"name": "PROD_CORRELATION", "result": "PASS"}, LIMIT]}}
+    rules = SimpleNamespace(sharpe_min=1, fitness_min=1, turnover_max=0.5)
+    finding = assess(snapshot, rules)
+    assert finding["verdict"] == "pass" and finding["failed"] == []
+    assert finding["existing_platform_checks"] == snapshot["is"]["checks"]
+    assert finding["submission_limits"]["status"] == "blocked"
+    summary = checks_summary(snapshot)
+    assert summary["counts"]["FAIL"] == 0 and summary["total"] == 1
+    assert summary["non_pass"] == []
+    assert summary["submission_limits"] == [{"section": "is", "raw": LIMIT}]
+    snapshot["is"]["checks"] = [LIMIT]
+    assert assess(snapshot, rules)["verdict"] == "review"
+    assert checks_summary(snapshot)["status"] == "unknown"
+
+
+async def test_http_check_persists_limit_without_failing_alpha(app, logged_in, monkeypatch):
+    from app.models import Alpha
+    from tests import test_submission
+
+    checks = [{"name": "PROD_CORRELATION", "result": "PASS"}, LIMIT]
+    monkeypatch.setattr(test_submission, "CHECKS", checks)
+    await test_submission.setup(app)
+    response = await test_submission.enqueue(logged_in)
+    assert response.status_code == 202
+    await app.state.runner.execute(response.json()["id"])
+    async with app.state.sessions() as db:
+        item = await db.get(Alpha, "alpha1")
+        assert item.check_type == "PASS"
+        assert item.checks == item.is_metrics["checks"] == item.raw["is"]["checks"] == checks
+    state = (await logged_in.get("/api/v1/alphas/alpha1/submission")).json()
+    assert state["job"]["status"] == "completed"
+    assert state["check_summary"]["submission_limits"]["status"] == "blocked"
+    rows = (await logged_in.get("/api/v1/alphas?check_type=PASS")).json()["items"]
+    assert rows[0]["id"] == "alpha1" and rows[0]["failed_checks"] == []

frontend/src/components/AlphaDetail.tsx

@@ -474,16 +474,46 @@ function MetricTable({
 }
 
 /** IS and OS checks are separate observations; missing values never imply a pass. */
-function PlatformChecks({ title, checks }: { title: string; checks: unknown }) {
+function PlatformChecks({
+  title,
+  checks,
+  submissionLimit = false,
+}: {
+  title: string;
+  checks: unknown;
+  submissionLimit?: boolean;
+}) {
   const rows = Array.isArray(checks)
     ? checks.filter(
         (item): item is Record<string, unknown> =>
           item !== null && typeof item === "object" && !Array.isArray(item),
       )
     : [];
+  const limits = rows.filter((check) => check.name === "REGULAR_SUBMISSION");
+  const alphaChecks = rows.filter(
+    (check) => check.name !== "REGULAR_SUBMISSION",
+  );
+  if (!submissionLimit && limits.length) {
+    return (
+      <>
+        <PlatformChecks title={title} checks={alphaChecks} />
+        <PlatformChecks
+          title={`${title} · 提交限制`}
+          checks={limits}
+          submissionLimit
+        />
+      </>
+    );
+  }
   return (
     <section aria-label={title}>
       <h4>{title}</h4>
+      {submissionLimit && (
+        <p className="muted">
+          以下为缓存观测时的提交限制，不计入 Alpha
+          失败项；当前额度需重新检查确认。
+        </p>
+      )}
       {rows.length ? (
         rows.map((check, i) => (
           <div className="check-row" key={i}>
@@ -496,13 +526,19 @@ function PlatformChecks({ title, checks }: { title: string; checks: unknown }) {
                 check.result === "PASS"
                   ? "green"
                   : check.result === "FAIL"
-                    ? "red"
+                    ? submissionLimit
+                      ? "orange"
+                      : "red"
                     : check.result === "WARNING"
                       ? "orange"
                       : "grey"
               }
             >
-              {check.result === "WARNING"
+              {submissionLimit && check.result === "FAIL"
+                ? "提交受限（FAIL）"
+                : submissionLimit && check.result === "PASS"
+                  ? "当时未受限（PASS）"
+                  : check.result === "WARNING"
                     ? "警告（WARNING）"
                     : check.result === "PENDING"
                       ? "待定（PENDING）"