ff7b721acb
Port meetups, discussions, gigs, dating/chat, VIP pay (ZPay/XorPay), MiroTalk live, digital academy, and ebook reader. Add persistent community_store, git-first deploy docs, and env template for production secrets. Co-authored-by: Cursor <cursoragent@cursor.com>
126 lines
3.2 KiB
Python
126 lines
3.2 KiB
Python
"""Next-stop recommendation scoring — ported from NomadCNA logic, adapted to nomadro destinations."""
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from __future__ import annotations
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from typing import Any
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def _parse_nomads_count(value: str) -> int:
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digits = "".join(ch for ch in str(value) if ch.isdigit())
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return int(digits) if digits else 0
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def score_destination(
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dest: dict[str, Any],
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*,
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budget: int,
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internet: int,
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climate: str,
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tags: list[str],
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priority: str = "balanced",
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) -> tuple[float, list[str]]:
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"""Return (score, match_reasons) for a destination dict."""
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cost = int(dest.get("cost") or 0)
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speed = int(dest.get("speed") or 0)
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temp = int(dest.get("temperature") or 20)
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rating = float(dest.get("rating") or 0)
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nomads = _parse_nomads_count(dest.get("nomads_count") or "0")
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highlights = dest.get("highlights") or []
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tag = str(dest.get("tag") or "")
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reasons: list[str] = []
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score = rating * 8
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# Budget fit (monthly cost in CNY-ish units)
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if cost <= budget:
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score += 28
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reasons.append("预算内")
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elif cost <= budget * 1.2:
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score += 14
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reasons.append("略超预算")
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else:
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score += max(0, 10 - (cost - budget) / 800)
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# Internet
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if speed >= internet:
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score += 22
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reasons.append("网络达标")
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else:
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score += max(0, 22 - (internet - speed) / 4)
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reasons.append("需确认住处网络")
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# Climate preference
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if climate == "warm":
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score += 18 if temp >= 24 else max(0, 18 - (24 - temp) * 2)
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if temp >= 24:
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reasons.append("气候偏暖")
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elif climate == "cool":
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score += 18 if temp <= 18 else max(0, 18 - (temp - 18) * 2)
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if temp <= 18:
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reasons.append("气候清爽")
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else: # mild
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score += 18 if 18 <= temp <= 26 else max(0, 18 - abs(temp - 22) * 2)
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if 18 <= temp <= 26:
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reasons.append("气候温和")
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# Tag overlap (NomadCNA-style lifestyle tags)
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dest_tags = set(highlights + [tag])
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overlap = [t for t in tags if any(t in dt or dt in t for dt in dest_tags)]
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if overlap:
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score += min(15, len(overlap) * 5)
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reasons.append(f"标签匹配：{overlap[0]}")
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# Community density
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if nomads >= 8000:
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score += 12
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reasons.append("社区活跃")
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elif nomads >= 3000:
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score += 6
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# Priority boost
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if priority == "cost":
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score += (14000 - cost) / 120
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elif priority == "speed":
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score += speed / 5
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elif priority == "community":
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score += nomads / 400
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if not reasons:
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reasons.append("综合评分推荐")
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return round(score, 1), reasons[:3]
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def recommend_destinations(
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destinations: list[dict[str, Any]],
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*,
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budget: int = 8000,
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internet: int = 50,
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climate: str = "mild",
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tags: list[str] | None = None,
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priority: str = "balanced",
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limit: int = 12,
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) -> list[dict[str, Any]]:
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tags = tags or []
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scored: list[tuple[float, dict[str, Any], list[str]]] = []
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for dest in destinations:
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s, reasons = score_destination(
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dest,
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budget=budget,
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internet=internet,
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climate=climate,
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tags=tags,
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priority=priority,
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)
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scored.append((s, dest, reasons))
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scored.sort(key=lambda x: x[0], reverse=True)
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items = []
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for s, dest, reasons in scored[:limit]:
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items.append({
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**dest,
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"match_score": s,
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"match_reasons": reasons,
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})
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return items
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