"""Classify platform evidence without discarding unknown checks or inferring eligibility."""


def check_result(check):
    """Normalize known upstream result casing without rewriting the raw evidence."""
    value = check.get("result") if isinstance(check, dict) else None
    return value.upper() if isinstance(value, str) else None


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(check_result(c) == "FAIL" for c in limits) else (
        "not_blocked" if limits and all(check_result(c) == "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"}