feat: add PPAC candidate tab and status

backend/app/alphas.py

@@ -31,16 +31,20 @@ def snapshot_columns(settings, metrics, checks, *, checked=False):
     Sync snapshots with no failures are PRE_CHECK; a completed explicit /check
     with no failures is PASS. WARNING/PENDING do not count as failures, matching
     the legacy workflow. Empty, malformed or unknown results remain PENDING.
-    No submission eligibility or activity eligibility is inferred here.
+    A sole PURE_POWER_POOL_THEME failure is a PPAC candidate, not confirmation
+    of current submission or activity eligibility. Raw failures stay available.
     """
     settings = settings if isinstance(settings, dict) else {}
     metrics = metrics if isinstance(metrics, dict) else {}
     blocked = submission_limits(checks)["status"] == "blocked"
     checks, _ = split_checks(checks)
     valid = [check for check in checks if isinstance(check, dict)]
-    failures = len(failed_checks(checks))
+    failed_names = failed_checks(checks)
+    failures = len(failed_names)
     by_name = {check["name"]: check for check in valid if isinstance(check.get("name"), str)}
-    if failures:
+    if failed_names == ["PURE_POWER_POOL_THEME"]:
+        check_type = "PPAC_CANDIDATE"
+    elif failures:
         check_type = "FAIL_1" if failures == 1 else "FAIL_2"
     elif not checks or len(valid) != len(checks) or any(check_result(check) not in ("PASS", "WARNING", "PENDING") for check in valid):
         check_type = "PENDING"
@@ -75,7 +79,7 @@ def check_summary(checks, *, check_type):
         "check_type": check_type,
         "failed_checks": failed_checks(checks),
         "submission_limits": submission_limits(checks),
-        "meaning": "PRE_CHECK 为同步无失败项；PASS 为主动检查完成且无失败项。PENDING/WARNING 不算失败，不代表全部检查项 PASS 或当前可提交",
+        "meaning": "PRE_CHECK 为同步无失败项；PASS 为主动检查完成且无失败项；PPAC_CANDIDATE 为唯一失败项是 PURE_POWER_POOL_THEME 的候选。PENDING/WARNING 不算失败，不代表全部检查项 PASS 或当前可提交",
     }
 
 
@@ -199,6 +203,11 @@ def list_statement(filters):
         query = query.where(Alpha.submission_blocked == filters.submission_blocked)
         if filters.submission_blocked:
             query = query.where(submission_condition("UNSUBMITTED"))
+    if filters.ppac_candidate is not None:
+        candidate = Alpha.check_type == "PPAC_CANDIDATE"
+        query = query.where(candidate if filters.ppac_candidate else ~candidate)
+        if filters.ppac_candidate:
+            query = query.where(submission_condition("UNSUBMITTED"))
     if (filters.local_correlation_status is not None or filters.local_correlation_min is not None
             or filters.local_correlation_max is not None):
         # One cache row per Alpha keeps totals/export stable; stale overrides the displayed status.

backend/app/schemas.py

@@ -9,7 +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"]
+CheckType = Literal["PENDING", "PRE_CHECK", "PASS", "PPAC_CANDIDATE", "FAIL_1", "FAIL_2"]
 SortField = Literal[
     "id",
     "name",
@@ -74,6 +74,7 @@ class AlphaFilters(Contract):
     local_correlation_min: float | None = Field(default=None, ge=-1, le=1)
     local_correlation_max: float | None = Field(default=None, ge=-1, le=1)
     submission_blocked: bool | None = None
+    ppac_candidate: bool | None = None
     submission: Submission | None = None
     source: str | None = Field(default=None, max_length=100)
     source_reference: str | None = Field(default=None, max_length=200)