71 lines
2.2 KiB
Python
71 lines
2.2 KiB
Python
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"""Pure helpers for classifying and presenting collection skip reasons."""
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from __future__ import annotations
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ALIAS_UNMATCHED = "alias_unmatched"
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LOGIN_REQUIRED = "login_required"
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OTHER = "other"
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SKIP_REASON_ORDER = (ALIAS_UNMATCHED, LOGIN_REQUIRED, OTHER)
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SKIP_REASON_LABELS = {
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ALIAS_UNMATCHED: "别名未匹配",
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LOGIN_REQUIRED: "账号未登录",
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OTHER: "其他原因",
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}
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def empty_skip_reason_counts():
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return {reason: 0 for reason in SKIP_REASON_ORDER}
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def classify_skip_reason(reason="", *, alias_matched=True):
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"""Classify historical skip text without treating uncertain login checks as logout."""
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if not alias_matched:
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return ALIAS_UNMATCHED
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text = str(reason or "").strip().lower()
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if "别名未匹配" in text or "alias_unmatched" in text:
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return ALIAS_UNMATCHED
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if (
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"账号未登录" in text
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or "采集中途掉登录" in text
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or "login_page" in text
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or ("accounts.shopee." in text and "/seller/login" in text)
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):
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return LOGIN_REQUIRED
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return OTHER
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def skipped_stage_text(reason="", *, alias_matched=True):
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reason_code = classify_skip_reason(reason, alias_matched=alias_matched)
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return f"略过 · {SKIP_REASON_LABELS[reason_code]}"
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def normalize_skip_reason_counts(counts=None, *, skipped_total=0):
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normalized = empty_skip_reason_counts()
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source = counts if isinstance(counts, dict) else {}
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for reason in SKIP_REASON_ORDER:
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try:
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normalized[reason] = max(0, int(source.get(reason, 0) or 0))
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except (TypeError, ValueError):
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normalized[reason] = 0
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total = max(0, int(skipped_total or 0))
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accounted = sum(normalized.values())
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if accounted < total:
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normalized[OTHER] += total - accounted
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return normalized
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def format_skip_reason_summary(counts=None, *, skipped_total=0):
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total = max(0, int(skipped_total or 0))
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if total == 0:
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return ""
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normalized = normalize_skip_reason_counts(counts, skipped_total=total)
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parts = [
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f"{SKIP_REASON_LABELS[reason]}{normalized[reason]}"
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for reason in SKIP_REASON_ORDER
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if normalized[reason] > 0
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]
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return f"略过{total}：" + "，".join(parts)
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