yuxuanhui
30 lines
1.3 KiB
Python
30 lines
1.3 KiB
Python
"""Classify platform evidence without discarding unknown checks or inferring eligibility."""
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def check_result(check):
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"""Normalize known upstream result casing without rewriting the raw evidence."""
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value = check.get("result") if isinstance(check, dict) else None
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return value.upper() if isinstance(value, str) else None
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def is_submission_limit(check):
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"""Recognize only the confirmed account-limit check; unknown names remain Alpha checks."""
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return isinstance(check, dict) and check.get("name") == "REGULAR_SUBMISSION"
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def split_checks(checks):
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"""Return Alpha checks and submission limits, retaining malformed Alpha evidence."""
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items = checks if isinstance(checks, list) else []
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return ([c for c in items if not is_submission_limit(c)],
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[c for c in items if is_submission_limit(c)])
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def submission_limits(checks):
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"""Summarize the observed limit, never the account's current allowance or reset time."""
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_, limits = split_checks(checks)
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status = "blocked" if any(check_result(c) == "FAIL" for c in limits) else (
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"not_blocked" if limits and all(check_result(c) == "PASS" for c in limits) else "unknown"
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)
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return {"status": status, "checks": limits,
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"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"}
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