feat: Implement Alpha list and metrics enhancements

- Added new metrics fields: sub_universe_sharpe, robust_universe_sharpe, two_year_sharpe, prod_correlation, pnl, check_type, and neutralization to the Alpha model.
- Updated snapshot_columns function to derive new metrics and check types from platform snapshots.
- Enhanced API to include failed checks and check types in responses.
- Created migration script to backfill existing Alpha records with new metrics and check types.
- Updated frontend components to display new metrics and allow editing of custom tags.
- Improved filtering and sorting capabilities for new metrics in the Alpha list.
- Added tests for new functionality including checks classification and metrics filtering.

.scratch/alpha-list-columns/issues/01-implement.md

@@ -0,0 +1,17 @@
+# 补齐 Alpha 列表和标签入口
+
+Type: task
+Status: ready-for-agent
+Implementation: completed
+
+范围与验收见 ../spec.md。
+
+## Comments
+
+- 已确认失败分档使用 FAIL=1 / FAIL≥2，正在实现。
+- 已完成九个新增表头、指标范围筛选/排序/导出、检查结果分档筛选、单条自定义标签编辑与默认标签列。保留已有列偏好。
+- 验证：后端全量 269 项通过；Ruff、Prettier、前端构建及 diff 检查通过。
+- 浏览器全量首跑 20 项通过、2 项失败：一项 SQLite 锁冲突，单独复跑通过；另一项涉及标签改名和列设置过长，更新断言并修复限高滚动后，workspace 两项通过。
+- Playwright CLI 实测 FAIL≥2 包含失败 2/3 项、PPAC 标签保存与组合筛选、刷新保留、390px 无整页溢出、26 项列设置可滚动并关闭。
+- SQLite 和独立 PostgreSQL 17 数据库均验证 503 条历史快照回填、迁移回退/重新升级、模型一致及原研究标签/备注/版本保留。已删除本轮临时数据库。
+- 已包含 0011 迁移；没有部署、提交代码或操作真实平台。

.scratch/alpha-list-columns/spec.md

@@ -0,0 +1,12 @@
+# Alpha 列表指标、检查筛选与自定义标签
+
+用户已授权本地实现。失败分档已确认：FAIL=1、FAIL≥2。
+
+- 补充检查结果、失败项、子股票池/稳健股票池/近两年 Sharpe、中性化、平台生产相关性、IS PnL、同步时间。
+- 默认显示检查结果、失败项和自定义标签；保留已有列偏好，其余字段可选。
+- 检查结果按平台快照计算，与平台状态、研究状态及本地自相关独立。没有完成的检查不得视为通过。
+- 指标支持范围筛选、排序及导出；检查筛选在数据库分页前执行。
+- 复用本地标签，提供列表单条编辑、批量编辑和筛选，支持 PPAC 等任意标签，平台同步不覆盖。
+- 历史快照通过增量迁移回填，不请求平台、不修改研究记录。
+
+验证：API 失败 0/1/2/3 项及未知状态、组合筛选/分页/导出、零值与缺值、标签保存与同步保留；隔离迁移；前端构建及浏览器交互。

backend/app/alphas.py

@@ -9,6 +9,55 @@ from sqlalchemy import or_, select, update
 from .models import Alpha, Research, ResearchTag, SelfCorrelation, now
 from .research.provenance import source_alpha_ids
 
+METRIC_FIELDS = (
+    "sharpe", "fitness", "returns", "turnover", "margin", "drawdown",
+    "sub_universe_sharpe", "robust_universe_sharpe", "two_year_sharpe", "prod_correlation", "pnl",
+)
+
+
+def failed_checks(checks):
+    """Return failed platform check names; local correlation never changes this list."""
+    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"
+    ] 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
+    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 []
+    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)}
+    if failures:
+        check_type = "FAIL_1" if failures == 1 else "FAIL_2"
+    elif not checks or len(valid) != len(checks) or any(check.get("result") != "PASS" for check in valid):
+        check_type = "PENDING"
+    else:
+        check_type = "PASS" if "PROD_CORRELATION" in by_name else "PRE_CHECK"
+    neutralization = settings.get("neutralization")
+    return {
+        "check_type": check_type,
+        "neutralization": neutralization if isinstance(neutralization, str) else None,
+        "pnl": number(metrics.get("pnl")),
+        **{
+            field: number(by_name.get(name, {}).get("value"))
+            for field, name in (
+                ("sub_universe_sharpe", "LOW_SUB_UNIVERSE_SHARPE"),
+                ("robust_universe_sharpe", "LOW_ROBUST_UNIVERSE_SHARPE"),
+                ("two_year_sharpe", "LOW_2Y_SHARPE"),
+                ("prod_correlation", "PROD_CORRELATION"),
+            )
+        },
+    }
+
 
 def submission_condition(submission):
     """Match the platform list contract; a missing status is never assumed submitted."""
@@ -106,6 +155,8 @@ async def upsert_alpha(db, raw: dict):
     item.settings, item.is_metrics = sanitize(settings), sanitize(metrics)
     item.os_metrics = sanitize(raw.get("os")) if isinstance(raw.get("os"), dict) else {}
     item.checks = sanitize(metrics.get("checks") or raw.get("checks") or [])
+    for key, value in snapshot_columns(item.settings, item.is_metrics, item.checks).items():
+        setattr(item, key, value)
     for key in ("sharpe", "fitness", "returns", "turnover", "margin", "drawdown"):
         setattr(item, key, number(metrics.get(key)))
     item.date_created, item.date_submitted = date(raw.get("dateCreated")), date(raw.get("dateSubmitted"))
@@ -134,7 +185,7 @@ def list_statement(filters):
                 )
             )
         )
-    for name in ("region", "universe", "alpha_type", "language", "status", "stage", "hidden"):
+    for name in ("region", "universe", "alpha_type", "language", "status", "stage", "hidden", "check_type", "neutralization"):
         value = getattr(filters, name)
         if value is not None:
             query = query.where(getattr(Alpha, name) == value)
@@ -148,7 +199,7 @@ def list_statement(filters):
         query = query.where(Alpha.date_created >= filters.created_from)
     if filters.created_to:
         query = query.where(Alpha.date_created <= filters.created_to)
-    for name in ("sharpe", "fitness", "returns", "turnover", "margin", "drawdown"):
+    for name in METRIC_FIELDS:
         for suffix, compare in (("min", "ge"), ("max", "le")):
             value = getattr(filters, f"{name}_{suffix}")
             if value is not None:
@@ -183,8 +234,16 @@ def summary(item: Alpha, research: Research):
         "date_created",
         "date_submitted",
         "synced_at",
+        "check_type",
+        "neutralization",
+        "sub_universe_sharpe",
+        "robust_universe_sharpe",
+        "two_year_sharpe",
+        "prod_correlation",
+        "pnl",
     )
     result = {k: getattr(item, k) for k in keys}
+    result["failed_checks"] = failed_checks(item.checks)
     result["expression_preview"] = (item.expression or item.selection or "")[:240]
     result["research"] = {
         k: getattr(research, k) for k in ("note", "tags", "favorite", "state", "updated_at", "version")

backend/app/main.py

@@ -16,7 +16,7 @@ from sqlalchemy import delete, select, text
 
 from .ai.routes import router as ai_router
 from .ai.runtime import AIRuntime
-from .alphas import list_statement, sorted_statement
+from .alphas import failed_checks, list_statement, sorted_statement
 from .backtests.routes import router as backtest_router
 from .business import Business, notify_job
 from .catalog.research_routes import router as research_catalog_router
@@ -375,11 +375,18 @@ def create_app(settings=None, wq_client=None, ai_model_factory=None):
                 "turnover",
                 "margin",
                 "drawdown",
+                "sub_universe_sharpe",
+                "robust_universe_sharpe",
+                "two_year_sharpe",
+                "prod_correlation",
+                "pnl",
+                "neutralization",
+                "check_type",
                 "date_created",
                 "date_submitted",
                 "synced_at",
             ]
-            writer.writerow(columns + ["research_state", "favorite", "tags", "note"])
+            writer.writerow(columns + ["failed_checks", "research_state", "favorite", "tags", "note"])
             yield buffer.getvalue()
             buffer.seek(0)
             buffer.truncate(0)
@@ -388,7 +395,7 @@ def create_app(settings=None, wq_client=None, ai_model_factory=None):
                 async for a, r in rows:
                     writer.writerow(
                         [csv_cell(getattr(a, key)) for key in columns]
-                        + [r.state, r.favorite, csv_cell(";".join(r.tags)), csv_cell(r.note)]
+                        + [csv_cell(";".join(failed_checks(a.checks))), r.state, r.favorite, csv_cell(";".join(r.tags)), csv_cell(r.note)]
                     )
                     yield buffer.getvalue()
                     buffer.seek(0)

backend/app/models.py

@@ -79,6 +79,13 @@ class Alpha(Base):
     turnover: Mapped[float | None] = mapped_column(Float)
     margin: Mapped[float | None] = mapped_column(Float)
     drawdown: Mapped[float | None] = mapped_column(Float)
+    sub_universe_sharpe: Mapped[float | None] = mapped_column(Float)
+    robust_universe_sharpe: Mapped[float | None] = mapped_column(Float)
+    two_year_sharpe: Mapped[float | None] = mapped_column(Float)
+    prod_correlation: Mapped[float | None] = mapped_column(Float)
+    pnl: Mapped[float | None] = mapped_column(Float)
+    neutralization: Mapped[str | None] = mapped_column(Text)
+    check_type: Mapped[str] = mapped_column(String(20), default="PENDING", server_default="PENDING", index=True)
     date_created: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), index=True)
     date_submitted: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
     synced_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=now)

backend/app/schemas.py

@@ -9,6 +9,7 @@ from pydantic import BaseModel, ConfigDict, Field, field_validator, model_valida
 
 ResearchState = Literal["inbox", "candidate", "optimizing", "archived"]
 Submission = Literal["UNSUBMITTED", "SUBMITTED"]
+CheckType = Literal["PENDING", "PRE_CHECK", "PASS", "FAIL_1", "FAIL_2"]
 SortField = Literal[
     "id",
     "name",
@@ -18,6 +19,11 @@ SortField = Literal[
     "turnover",
     "margin",
     "drawdown",
+    "sub_universe_sharpe",
+    "robust_universe_sharpe",
+    "two_year_sharpe",
+    "prod_correlation",
+    "pnl",
     "date_created",
     "date_submitted",
     "synced_at",
@@ -76,6 +82,8 @@ class AlphaFilters(Contract):
     status: str | None = None
     stage: str | None = None
     hidden: bool | None = None
+    check_type: CheckType | None = None
+    neutralization: str | None = None
     research_state: ResearchState | None = None
     favorite: bool | None = None
     tag: str | None = Field(default=None, max_length=60)
@@ -93,6 +101,16 @@ class AlphaFilters(Contract):
     margin_max: float | None = None
     drawdown_min: float | None = None
     drawdown_max: float | None = None
+    sub_universe_sharpe_min: float | None = None
+    sub_universe_sharpe_max: float | None = None
+    robust_universe_sharpe_min: float | None = None
+    robust_universe_sharpe_max: float | None = None
+    two_year_sharpe_min: float | None = None
+    two_year_sharpe_max: float | None = None
+    prod_correlation_min: float | None = None
+    prod_correlation_max: float | None = None
+    pnl_min: float | None = None
+    pnl_max: float | None = None
     sort: SortField = "date_created"
     direction: Literal["asc", "desc"] = "desc"
     limit: int = Field(default=25, ge=1, le=100)
@@ -105,7 +123,10 @@ class AlphaFilters(Contract):
 
     @model_validator(mode="after")
     def range_order(self):
-        for key in ("sharpe", "fitness", "returns", "turnover", "margin", "drawdown"):
+        for key in (
+            "sharpe", "fitness", "returns", "turnover", "margin", "drawdown",
+            "sub_universe_sharpe", "robust_universe_sharpe", "two_year_sharpe", "prod_correlation", "pnl",
+        ):
             lo, hi = getattr(self, f"{key}_min"), getattr(self, f"{key}_max")
             if lo is not None and hi is not None and lo > hi:
                 raise ValueError(f"{key} 最小值不能大于最大值")
@@ -222,6 +243,14 @@ class AlphaSummary(BaseModel):
     date_created: datetime | None
     date_submitted: datetime | None
     synced_at: datetime
+    check_type: CheckType = "PENDING"
+    failed_checks: list[str] = Field(default_factory=list)
+    neutralization: str | None = None
+    sub_universe_sharpe: float | None = None
+    robust_universe_sharpe: float | None = None
+    two_year_sharpe: float | None = None
+    prod_correlation: float | None = None
+    pnl: float | None = None
     research: ResearchOutput
     local_correlation: dict | None = None
     source_kinds: list[str] = Field(default_factory=list)

backend/migrations/versions/0011_alpha_list_checks_and_metrics.py

@@ -0,0 +1,125 @@
+"""Index Alpha checks and metrics; backfill existing snapshots without upstream calls."""
+
+import math
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0011"
+down_revision = "0010"
+branch_labels = None
+depends_on = None
+
+
+# Frozen normalization for historical snapshots; do not import mutable app code.
+def number(value):
+    if value is None or isinstance(value, bool):
+        return None
+    try:
+        result = float(value)
+        return result if math.isfinite(result) else None
+    except (ValueError, TypeError):
+        return None
+
+
+def failed_checks(checks):
+    """Return failed platform check names; local correlation never changes this list."""
+    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"
+        ]
+        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
+    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 []
+    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)}
+    if failures:
+        check_type = "FAIL_1" if failures == 1 else "FAIL_2"
+    elif not checks or len(valid) != len(checks) or any(check.get("result") != "PASS" for check in valid):
+        check_type = "PENDING"
+    else:
+        check_type = "PASS" if "PROD_CORRELATION" in by_name else "PRE_CHECK"
+    neutralization = settings.get("neutralization")
+    return {
+        "check_type": check_type,
+        "neutralization": neutralization if isinstance(neutralization, str) else None,
+        "pnl": number(metrics.get("pnl")),
+        **{
+            field: number(by_name.get(name, {}).get("value"))
+            for field, name in (
+                ("sub_universe_sharpe", "LOW_SUB_UNIVERSE_SHARPE"),
+                ("robust_universe_sharpe", "LOW_ROBUST_UNIVERSE_SHARPE"),
+                ("two_year_sharpe", "LOW_2Y_SHARPE"),
+                ("prod_correlation", "PROD_CORRELATION"),
+            )
+        },
+    }
+
+
+METRICS = ("sub_universe_sharpe", "robust_universe_sharpe", "two_year_sharpe", "prod_correlation", "pnl")
+
+
+def upgrade():
+    columns = [sa.Column(name, sa.Float(), nullable=True) for name in METRICS]
+    columns += [
+        sa.Column("neutralization", sa.Text(), nullable=True),
+        sa.Column("check_type", sa.String(20), nullable=False, server_default="PENDING"),
+    ]
+    for column in columns:
+        op.add_column("alphas", column)
+    op.create_index("ix_alphas_check_type", "alphas", ["check_type"])
+    table = sa.table(
+        "alphas",
+        sa.column("id", sa.String()),
+        sa.column("settings", sa.JSON()),
+        sa.column("is_metrics", sa.JSON()),
+        sa.column("checks", sa.JSON()),
+        *(sa.column(column.name, column.type) for column in columns),
+    )
+    connection = op.get_bind()
+    last_id = None
+    while True:
+        query = (
+            sa.select(table.c.id, table.c.settings, table.c.is_metrics, 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
+        connection.execute(
+            table.update()
+            .where(table.c.id == sa.bindparam("snapshot_id"))
+            .values({column.name: sa.bindparam(column.name) for column in columns}),
+            [
+                {
+                    "snapshot_id": row["id"],
+                    **snapshot_columns(row["settings"], row["is_metrics"], row["checks"]),
+                }
+                for row in rows
+            ],
+        )
+        last_id = rows[-1]["id"]
+
+
+def downgrade():
+    op.drop_index("ix_alphas_check_type", table_name="alphas")
+    for name in ("check_type", "neutralization", *reversed(METRICS)):
+        op.drop_column("alphas", name)

backend/tests/test_alpha_list_fields.py

@@ -0,0 +1,227 @@
+"""Alpha list filtering, snapshot extraction, local tags and historical migration."""
+
+import csv
+import io
+from pathlib import Path
+
+import pytest
+import sqlalchemy as sa
+from alembic import command
+from alembic.config import Config
+from cryptography.fernet import Fernet
+
+from app.alphas import snapshot_columns, upsert_alpha
+from tests.conftest import alpha
+
+PREFIX = "/api/v1/alphas"
+
+
+def checks(failures):
+    return [
+        {"name": name, "result": "FAIL" if index < failures else "PASS", "value": value}
+        for index, (name, value) in enumerate(
+            [
+                ("LOW_SUB_UNIVERSE_SHARPE", 0),
+                ("LOW_ROBUST_UNIVERSE_SHARPE", 1.2),
+                ("LOW_2Y_SHARPE", 2.3),
+                ("PROD_CORRELATION", 0),
+            ]
+        )
+    ]
+
+
+@pytest.mark.parametrize(
+    "data, expected",
+    [
+        ([], "PENDING"),
+        (None, "PENDING"),
+        ([None], "PENDING"),
+        ([{}], "PENDING"),
+        ([{"name": "LOW_SHARPE", "result": "WARNING"}], "PENDING"),
+        ([{"name": "LOW_SHARPE", "result": "PASS"}], "PRE_CHECK"),
+        ([{"name": "PROD_CORRELATION", "result": "PENDING"}], "PENDING"),
+        (checks(0), "PASS"),
+        (checks(1), "FAIL_1"),
+        (checks(2), "FAIL_2"),
+        (checks(3), "FAIL_2"),
+    ],
+)
+def test_check_classification_never_promotes_unknown_results(data, expected):
+    assert snapshot_columns({}, {}, data)["check_type"] == expected
+
+
+async def test_checks_filter_before_pagination_and_share_export_scope(app, logged_in):
+    async with app.state.sessions.begin() as db:
+        for count in range(4):
+            await upsert_alpha(db, alpha(f"failed{count}", **{"is": {"pnl": 0, "checks": checks(count)}}))
+        await upsert_alpha(db, alpha("unknown", **{"is": {}}))
+    for check_type, expected in [
+        ("FAIL_1", ["failed1"]),
+        ("FAIL_2", ["failed2", "failed3"]),
+        ("PASS", ["failed0"]),
+        ("PENDING", ["unknown"]),
+    ]:
+        response = await logged_in.get(
+            PREFIX, params={"check_type": check_type, "sort": "id", "direction": "asc"}
+        )
+        assert response.status_code == 200
+        assert [row["id"] for row in response.json()["items"]] == expected
+    query = "check_type=FAIL_2&submission=UNSUBMITTED&region=USA&limit=1&offset=1&sort=id&direction=asc"
+    page = (await logged_in.get(f"{PREFIX}?{query}")).json()
+    assert page["total"] == 2 and [a["id"] for a in page["items"]] == ["failed3"]
+    row = page["items"][0]
+    assert row["failed_checks"] == ["LOW_SUB_UNIVERSE_SHARPE", "LOW_ROBUST_UNIVERSE_SHARPE", "LOW_2Y_SHARPE"]
+    assert row["prod_correlation"] == row["sub_universe_sharpe"] == row["pnl"] == 0
+    exported = await logged_in.get(f"{PREFIX}/export?{query}")
+    rows = list(csv.DictReader(io.StringIO(exported.text.lstrip("\ufeff"))))
+    assert [r["id"] for r in rows] == ["failed2", "failed3"]
+    assert rows[0]["check_type"] == "FAIL_2" and rows[0]["pnl"] == "0.0"
+    assert rows[0]["failed_checks"] == "LOW_SUB_UNIVERSE_SHARPE;LOW_ROBUST_UNIVERSE_SHARPE"
+    assert (await logged_in.get(f"{PREFIX}?check_type=FAIL_GT_2")).status_code == 422
+
+
+async def test_extended_metrics_filter_sort_missing_values_and_snapshot_refresh(app, logged_in):
+    fields = ["sub_universe_sharpe", "robust_universe_sharpe", "two_year_sharpe", "prod_correlation", "pnl"]
+    async with app.state.sessions.begin() as db:
+        for name, value in [("zero", 0), ("positive", 2), ("negative", -1)]:
+            sample_checks = [{**c, "value": value} for c in checks(0)]
+            await upsert_alpha(
+                db,
+                alpha(
+                    name,
+                    settings={"neutralization": "INDUSTRY"},
+                    **{"is": {"pnl": value, "checks": sample_checks}},
+                ),
+            )
+        await upsert_alpha(db, alpha("missing", **{"is": {}}))
+    for field in fields:
+        result = (await logged_in.get(PREFIX, params={"sort": field, "direction": "asc"})).json()
+        assert [r["id"] for r in result["items"]] == ["negative", "zero", "positive", "missing"]
+        result = (
+            await logged_in.get(
+                PREFIX, params={f"{field}_min": 0, f"{field}_max": 0, "neutralization": "INDUSTRY"}
+            )
+        ).json()
+        assert [r["id"] for r in result["items"]] == ["zero"]
+        assert (await logged_in.get(PREFIX, params={f"{field}_min": 2, f"{field}_max": 1})).status_code == 422
+    async with app.state.sessions.begin() as db:
+        await upsert_alpha(db, alpha("zero", settings={}, **{"is": {}}))
+    detail = (await logged_in.get(f"{PREFIX}/zero")).json()
+    assert all(detail[field] is None for field in fields)
+    assert detail["neutralization"] is None and detail["check_type"] == "PENDING"
+    malformed = snapshot_columns({}, {"pnl": "nan"}, [{**c, "value": True} for c in checks(0)])
+    assert all(malformed[field] is None for field in fields)
+
+
+async def test_ppac_tags_partial_edit_bulk_filter_and_sync_preservation(app, logged_in):
+    async with app.state.sessions.begin() as db:
+        for name in ("ppac", "other"):
+            await upsert_alpha(db, alpha(name, **{"is": {"checks": checks(1)}}))
+    assert (
+        await logged_in.patch(
+            f"{PREFIX}/ppac/research",
+            json={
+                "version": 1,
+                "note": "等活动轮到再提交",
+                "state": "candidate",
+                "favorite": True,
+            },
+        )
+    ).status_code == 200
+    assert (
+        await logged_in.patch(
+            f"{PREFIX}/ppac/research",
+            json={
+                "version": 2,
+                "tags": [" PPAC ", "PPAC", "待活动提交"],
+            },
+        )
+    ).status_code == 200
+    assert (
+        await logged_in.patch(f"{PREFIX}/ppac/research", json={"version": 2, "tags": []})
+    ).status_code == 409
+    async with app.state.sessions.begin() as db:
+        await upsert_alpha(db, alpha("ppac", **{"is": {"checks": checks(2)}}))
+    result = (await logged_in.get(f"{PREFIX}?tag=PPAC&check_type=FAIL_2")).json()
+    assert result["total"] == 1
+    research = result["items"][0]["research"]
+    assert (
+        research["note"] == "等活动轮到再提交" and research["favorite"] and research["state"] == "candidate"
+    )
+    assert research["tags"] == ["PPAC", "待活动提交"] and research["version"] == 3
+    assert "PPAC" in (await logged_in.get(f"{PREFIX}/facets")).json()["tags"]
+    assert (
+        await logged_in.patch(
+            f"{PREFIX}/research/bulk",
+            json={
+                "alpha_ids": ["ppac", "other"],
+                "versions": {"ppac": 3, "other": 1},
+                "add_tags": ["活动候选"],
+                "remove_tags": ["待活动提交"],
+            },
+        )
+    ).status_code == 200
+    assert (await logged_in.get(f"{PREFIX}?tag=活动候选")).json()["total"] == 2
+    assert (await logged_in.get(f"{PREFIX}?tag=待活动提交")).json()["total"] == 0
+
+
+def test_migration_backfills_multiple_batches_and_preserves_research(tmp_path, monkeypatch):
+    path = tmp_path / "migration.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, "0010")
+    engine = sa.create_engine(f"sqlite:///{path}")
+    metadata = sa.MetaData()
+    alphas = sa.Table("alphas", metadata, autoload_with=engine)
+    research = sa.Table("research", metadata, autoload_with=engine)
+    from app.models import now
+
+    with engine.begin() as db:
+        db.execute(
+            alphas.insert(),
+            [
+                {
+                    "id": f"old{i:04}",
+                    "hidden": False,
+                    "settings": {"neutralization": "INDUSTRY"},
+                    "is_metrics": {"pnl": 0},
+                    "os_metrics": {},
+                    "checks": checks(i % 4),
+                    "synced_at": now(),
+                    "raw": {},
+                }
+                for i in range(503)
+            ],
+        )
+        db.execute(
+            research.insert(),
+            {
+                "alpha_id": "old0000",
+                "note": "keep",
+                "tags": ["PPAC"],
+                "favorite": True,
+                "state": "candidate",
+                "version": 7,
+                "updated_at": now(),
+            },
+        )
+    for _ in range(2):
+        command.upgrade(config, "head")
+        command.check(config)
+        alphas = sa.Table("alphas", sa.MetaData(), autoload_with=engine)
+        with engine.connect() as db:
+            rows = db.execute(sa.select(alphas).order_by(alphas.c.id)).mappings().all()
+            assert len(rows) == 503
+            for i, row in enumerate(rows):
+                expected = snapshot_columns(row["settings"], row["is_metrics"], checks(i % 4))
+                assert {key: row[key] for key in expected} == expected
+            record = db.execute(sa.select(research)).mappings().one()
+            assert record["tags"] == ["PPAC"] and record["note"] == "keep" and record["version"] == 7
+        command.downgrade(config, "0010")
+    engine.dispose()

frontend/src/components/AlphaDetail.tsx

@@ -384,7 +384,7 @@ export function AlphaDetail({
                   />
                 </label>
                 <label>
-                  标签
+                  自定义标签
                   <Input
                     aria-label="研究标签"
                     value={tagText}
@@ -392,7 +392,7 @@ export function AlphaDetail({
                       dirty.current = true;
                       setTagText(value);
                     }}
-                    placeholder="以逗号分隔，例如 低换手, 分析师预期"
+                    placeholder="以逗号分隔，例如 PPAC, 待活动提交"
                   />
                 </label>
                 <label>

frontend/src/pages/AlphaPage.tsx

@@ -49,12 +49,27 @@ const metricLabels = {
   turnover: "Turnover",
   margin: "Margin",
   drawdown: "Drawdown",
+  sub_universe_sharpe: "子股票池 Sharpe",
+  robust_universe_sharpe: "稳健股票池 Sharpe",
+  two_year_sharpe: "近两年 Sharpe",
+  prod_correlation: "平台生产相关性",
+  pnl: "IS PnL",
+};
+const checkLabels = {
+  PENDING: "待检查",
+  PRE_CHECK: "预检通过",
+  PASS: "检查通过",
+  FAIL_1: "FAIL=1",
+  FAIL_2: "FAIL≥2",
 };
 const initialColumns = [
   "name",
   "expression",
   "region",
   "status",
+  "check_type",
+  "failed_checks",
+  "tags",
   "sharpe",
   "fitness",
   "turnover",
@@ -75,7 +90,16 @@ const columnLabels: Record<string, string> = {
   margin: "Margin",
   drawdown: "Drawdown",
   research: "研究状态",
-  tags: "本地标签",
+  tags: "自定义标签",
+  check_type: "检查结果",
+  failed_checks: "失败项",
+  neutralization: "中性化",
+  synced: "同步时间",
+  sub_universe_sharpe: metricLabels.sub_universe_sharpe,
+  robust_universe_sharpe: metricLabels.robust_universe_sharpe,
+  two_year_sharpe: metricLabels.two_year_sharpe,
+  prod_correlation: metricLabels.prod_correlation,
+  pnl: metricLabels.pnl,
   language: "语言",
   created: "创建时间",
   submitted: "提交时间",
@@ -151,6 +175,11 @@ export function AlphaPage({
   const [idText, setIdText] = useState("");
   const [busy, setBusy] = useState("");
   const [bulkOpen, setBulkOpen] = useState(false);
+  const [tagEditor, setTagEditor] = useState<{
+    id: string;
+    version: number;
+    text: string;
+  } | null>(null);
   const [bulkVersions, setBulkVersions] = useState<Record<string, number>>({});
   const actionNonce = useRef(0);
   const [bulk, setBulk] = useState({
@@ -323,6 +352,26 @@ export function AlphaPage({
       setBusy("");
     }
   }
+  async function saveTags() {
+    if (!tagEditor) return;
+    setBusy("tags");
+    try {
+      await patch(`/alphas/${tagEditor.id}/research`, {
+        version: tagEditor.version,
+        tags: tagEditor.text
+          .split(/[,，]/)
+          .map((tag) => tag.trim())
+          .filter(Boolean),
+      });
+      setTagEditor(null);
+      refresh();
+      Toast.success("自定义标签已保存");
+    } catch (e) {
+      Toast.error((e as Error).message);
+    } finally {
+      setBusy("");
+    }
+  }
   const columnDefinitions: ColumnProps<Alpha>[] = [
     {
       key: "name",
@@ -343,6 +392,7 @@ export function AlphaPage({
             {row!.research.favorite && <Tag size="small">收藏</Tag>}
             {row!.name || row!.id}
           </span>
+          {row!.name && <small className="muted">{row!.id}</small>}
         </button>
       ),
     },
@@ -393,7 +443,16 @@ export function AlphaPage({
       ([key, title]): ColumnProps<Alpha> => ({
         key,
         title,
-        width: 112,
+        width:
+          key in
+          {
+            sub_universe_sharpe: 1,
+            robust_universe_sharpe: 1,
+            two_year_sharpe: 1,
+            prod_correlation: 1,
+          }
+            ? 155
+            : 112,
         align: "right",
         render: (_, row) => (
           <span className="numeric">
@@ -402,6 +461,40 @@ export function AlphaPage({
         ),
       }),
     ),
+    {
+      key: "check_type",
+      title: "检查结果",
+      width: 125,
+      render: (_, row) => (
+        <Tag
+          color={
+            row!.check_type?.startsWith("FAIL")
+              ? "red"
+              : row!.check_type === "PASS"
+                ? "green"
+                : "grey"
+          }
+        >
+          {checkLabels[row!.check_type] || "待检查"}
+        </Tag>
+      ),
+    },
+    {
+      key: "failed_checks",
+      title: "失败项",
+      width: 230,
+      render: (_, row) => (
+        <span title={row!.failed_checks?.join("、")}>
+          {row!.failed_checks?.join("、") || "—"}
+        </span>
+      ),
+    },
+    {
+      key: "neutralization",
+      title: "中性化",
+      width: 155,
+      render: (_, row) => row!.neutralization || "—",
+    },
     {
       key: "research",
       fixed: "right",
@@ -423,13 +516,27 @@ export function AlphaPage({
     },
     {
       key: "tags",
-      title: "本地标签",
+      title: "自定义标签",
       width: 180,
       render: (_, row) => (
         <div className="inline-tags">
           {row!.research.tags.map((t) => (
             <Tag key={t}>{t}</Tag>
           ))}
+          <button
+            className="text-link"
+            aria-label={`编辑 ${row!.id} 的标签`}
+            onClick={() => {
+              setTagEditor({
+                id: row!.id,
+                version: row!.research.version,
+                text: row!.research.tags.join(", "),
+              });
+              onOverlay();
+            }}
+          >
+            编辑标签
+          </button>
         </div>
       ),
     },
@@ -453,6 +560,12 @@ export function AlphaPage({
         );
       },
     },
+    {
+      key: "synced",
+      title: "同步时间",
+      width: 165,
+      render: (_, row) => formatTime(row!.synced_at, account?.timezone),
+    },
     {
       key: "submitted",
       title: "提交时间",
@@ -553,6 +666,26 @@ export function AlphaPage({
               optionList={stateOptions}
               onChange={(v) => updateDraft("research_state", v)}
             />
+            <Select
+              aria-label="检查结果筛选"
+              placeholder="全部检查结果"
+              showClear
+              value={draft.check_type || undefined}
+              optionList={Object.entries(checkLabels).map(([value, label]) => ({
+                value,
+                label,
+              }))}
+              onChange={(v) => updateDraft("check_type", v)}
+            />
+            <Select
+              aria-label="自定义标签筛选"
+              showClear
+              filter
+              value={draft.tag || undefined}
+              optionList={options("tags")}
+              placeholder="全部标签"
+              onChange={(v) => updateDraft("tag", v)}
+            />
           </div>
           <details className="advanced-filters">
             <summary>
@@ -614,14 +747,12 @@ export function AlphaPage({
                 />
               </label>
               <label>
-                本地标签
-                <Select
-                  showClear
-                  filter
-                  value={draft.tag || undefined}
-                  optionList={options("tags")}
-                  placeholder="全部标签"
-                  onChange={(v) => updateDraft("tag", v)}
+                中性化
+                <Input
+                  aria-label="中性化筛选"
+                  value={draft.neutralization || ""}
+                  placeholder="例如 INDUSTRY"
+                  onChange={(v) => updateDraft("neutralization", v)}
                 />
               </label>
               <label>
@@ -677,6 +808,7 @@ export function AlphaPage({
             </div>
             <p className="muted">
               数值筛选使用平台原始值，例如 Turnover 0.15 表示 15%。
+              检查结果仅汇总已同步的平台检查；预检通过不代表可以提交，活动资格可用自定义标签记录。
             </p>
           </details>
           <div className="inline-actions filter-actions">
@@ -929,6 +1061,29 @@ export function AlphaPage({
           />
         </footer>
       </section>
+      <Modal
+        title={`编辑自定义标签 · ${tagEditor?.id || ""}`}
+        visible={Boolean(tagEditor) && !overlaySuspended}
+        onCancel={() => setTagEditor(null)}
+        confirmLoading={busy === "tags"}
+        okText="保存标签"
+        onOk={() => void saveTags()}
+      >
+        <p>
+          用逗号分隔多个标签，例如
+          PPAC、待活动提交。标签保存在本地，平台同步不会覆盖。
+        </p>
+        <Input
+          aria-label="自定义标签"
+          value={tagEditor?.text || ""}
+          placeholder="例如 PPAC, 待活动提交"
+          onChange={(text) =>
+            setTagEditor((current) =>
+              current ? { ...current, text } : current,
+            )
+          }
+        />
+      </Modal>
       <Modal
         title="导入 Alpha ID"
         visible={importing && !overlaySuspended}
@@ -967,7 +1122,7 @@ export function AlphaPage({
           添加标签
           <Input
             aria-label="批量添加标签"
-            placeholder="用逗号分隔"
+            placeholder="用逗号分隔，例如 PPAC, 待活动提交"
             value={bulk.add_tags}
             onChange={(add_tags) => setBulk({ ...bulk, add_tags })}
           />

frontend/src/style.css

@@ -301,6 +301,9 @@ label:not(.semi-checkbox):not(.semi-radio) {
 .columns-picker {
   padding: var(--space-3);
   min-width: 192px;
+  max-height: min(420px, 50dvh);
+  overflow-y: auto;
+  overscroll-behavior: contain;
 }
 .columns-picker > strong {
   display: block;

frontend/src/types.ts

@@ -55,6 +55,14 @@ export type Alpha = {
   date_created: string | null;
   date_submitted: string | null;
   synced_at: string;
+  check_type: "PENDING" | "PRE_CHECK" | "PASS" | "FAIL_1" | "FAIL_2";
+  failed_checks: string[];
+  neutralization: string | null;
+  sub_universe_sharpe: number | null;
+  robust_universe_sharpe: number | null;
+  two_year_sharpe: number | null;
+  prod_correlation: number | null;
+  pnl: number | null;
   research: Research;
   local_correlation: CorrelationSummary | null;
   source_kinds: string[];

frontend/tests/workspace.spec.ts

@@ -245,10 +245,17 @@ test("batch tags, column visibility, server pagination and saved preferences", a
   await page.getByRole("button", { name: "显示列设置" }).click();
   await page
     .locator(".columns-picker")
-    .getByText("本地标签", { exact: true })
+    .getByText("自定义标签", { exact: true })
     .click();
   await expect(
-    page.getByRole("columnheader", { name: "本地标签", exact: true }),
+    page.getByRole("columnheader", { name: "自定义标签", exact: true }),
+  ).toHaveCount(0);
+  await page
+    .locator(".columns-picker")
+    .getByText("自定义标签", { exact: true })
+    .click();
+  await expect(
+    page.getByRole("columnheader", { name: "自定义标签", exact: true }),
   ).toBeVisible();
   await page.getByRole("button", { name: "显示列设置" }).click();
   await page.getByRole("button", { name: "重置", exact: true }).click();