v1.1.0 管理后台+对话增强：/admin全数据CRUD与站点配置；快捷语句点击自动提交；Markdown回答渲染；参考资讯折叠链接；实体识别标记与快速查看卡片(entity_linker)
This commit is contained in:
@@ -0,0 +1,221 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
实体链接程序（Entity Linker）—— 需求5专用程序
|
||||
==============================================
|
||||
作用：大模型回答生成后，用数据库实体库对回答文本做扫描匹配，
|
||||
找出其中提到的 球队 / 球员 / 人物 / 比赛 实体，供前端：
|
||||
a) 特殊标记（高亮 + 点击查看详情）
|
||||
b) 快速查看入口（回答下方卡片）
|
||||
设计：
|
||||
- 纯规则 + 数据库匹配，不额外调用大模型（快、稳、零成本）
|
||||
- 最长匹配优先（"洛杉矶湖人" 优先于 "湖人"）
|
||||
- 重叠区间去重，只保留最长的命中
|
||||
- 比赛实体优先取对话中工具实际查到的比赛（game_refs），避免误匹配
|
||||
- 别名（字母哥/SGA 等）复用 tools.ALIASES
|
||||
"""
|
||||
import os
|
||||
import re
|
||||
|
||||
from db import query, query_one
|
||||
from tools import ALIASES
|
||||
|
||||
_cache = {"names": None, "games_seen": set()}
|
||||
|
||||
|
||||
def _load_names():
|
||||
"""加载实体名库：[(名字, 实体信息), ...]（按名字长度降序）
|
||||
自动生成简称：球队去掉城市前缀（波士顿凯尔特人→凯尔特人）；
|
||||
球员中文名取最后一段（谢伊·吉尔杰斯-亚历山大→亚历山大），歧义名跳过。"""
|
||||
if _cache["names"] is not None:
|
||||
return _cache["names"]
|
||||
names = []
|
||||
for t in query("SELECT id, name, name_en, code, city FROM teams"):
|
||||
info = {"type": "team", "id": t["id"], "name": t["name"]}
|
||||
for n in {t["name"], t["name_en"], t["code"]}:
|
||||
if n and len(str(n)) >= 2:
|
||||
names.append((str(n), info))
|
||||
# 简称：去掉与城市名的公共前缀（'波士顿凯尔特人'→'凯尔特人'；'俄克拉荷马雷霆'→'雷霆'）
|
||||
short = t["name"]
|
||||
if t["city"]:
|
||||
common = os.path.commonprefix([t["name"], t["city"]])
|
||||
if len(common) >= 2:
|
||||
short = t["name"][len(common):]
|
||||
if len(short) >= 2 and short != t["name"]:
|
||||
names.append((short, info))
|
||||
for p in query("SELECT id, name, name_en FROM players"):
|
||||
info = {"type": "player", "id": p["id"], "name": p["name"]}
|
||||
for n in {p["name"], p["name_en"]}:
|
||||
if n and len(str(n)) >= 2:
|
||||
names.append((str(n), info))
|
||||
# 简称：中文名按 · 分割取最后一段，再按 - 分割取最后一段
|
||||
# （'谢伊·吉尔杰斯-亚历山大' → '亚历山大'；'斯蒂芬·库里' → '库里'）
|
||||
for short in _short_names(p["name"]):
|
||||
if short:
|
||||
names.append((short, info))
|
||||
for p in query("SELECT id, name, name_en FROM persons"):
|
||||
info = {"type": "person", "id": p["id"], "name": p["name"]}
|
||||
for n in {p["name"], p["name_en"]}:
|
||||
if n and len(str(n)) >= 2:
|
||||
names.append((str(n), info))
|
||||
for short in _short_names(p["name"]):
|
||||
if short:
|
||||
names.append((short, info))
|
||||
# 别名 → 指向正式实体（球队/球员名里查找）
|
||||
for nick, real in ALIASES.items():
|
||||
target = None
|
||||
for n, info in names:
|
||||
if info["name"] == real and info["type"] in ("player", "team"):
|
||||
target = info
|
||||
break
|
||||
if target:
|
||||
names.append((nick, target))
|
||||
# 去歧义：同一简称指向多个不同实体时，全部移除（避免错误标记）
|
||||
by_name = {}
|
||||
for n, info in names:
|
||||
by_name.setdefault(n, set()).add((info["type"], info["id"]))
|
||||
names = [(n, info) for n, info in names if len(by_name[n]) == 1]
|
||||
# 按名字长度降序，保证最长匹配优先
|
||||
names.sort(key=lambda x: -len(x[0]))
|
||||
_cache["names"] = names
|
||||
return names
|
||||
|
||||
|
||||
_ASCII_RE = re.compile(r"[A-Za-z0-9 ._'\-]+")
|
||||
|
||||
|
||||
def _short_names(full):
|
||||
"""生成中文名简称候选：按 · 和 - 逐级取最后一段
|
||||
'谢伊·吉尔杰斯-亚历山大' → ['吉尔杰斯-亚历山大', '亚历山大']
|
||||
'格雷格·波波维奇' → ['波波维奇']
|
||||
'斯蒂芬·库里' → ['库里']"""
|
||||
if not full or "·" not in full:
|
||||
return []
|
||||
seg = full.split("·")[-1].strip()
|
||||
out = []
|
||||
if len(seg) >= 2:
|
||||
out.append(seg)
|
||||
if "-" in seg:
|
||||
tail = seg.split("-")[-1].strip()
|
||||
if len(tail) >= 2 and tail != seg:
|
||||
out.append(tail)
|
||||
return out
|
||||
|
||||
|
||||
def _find_spans(text):
|
||||
"""在 text 中找出所有实体命中区间。
|
||||
返回 [{start, end, type, id, name}]，已去重叠（保留最长），按 start 升序。"""
|
||||
if not text:
|
||||
return []
|
||||
spans = []
|
||||
for n, info in _load_names():
|
||||
# 中文/混合名：直接子串查找（两边不接中文字符，避免部分词误匹配）
|
||||
if re.search(r"[\u4e00-\u9fff]", n):
|
||||
for m in re.finditer(re.escape(n), text):
|
||||
spans.append((m.start(), m.end(), info))
|
||||
else:
|
||||
# 英文/缩写：需要词边界
|
||||
for m in re.finditer(r"(?<![A-Za-z0-9])" + re.escape(n) + r"(?![A-Za-z0-9])", text, re.I):
|
||||
spans.append((m.start(), m.end(), info))
|
||||
if not spans:
|
||||
return []
|
||||
# 按 (start, -len) 排序 → 贪心取最长且不重叠
|
||||
spans.sort(key=lambda s: (s[0], -(s[1] - s[0])))
|
||||
out, last_end = [], -1
|
||||
for st, en, info in spans:
|
||||
if st >= last_end:
|
||||
out.append({"start": st, "end": en, "type": info["type"],
|
||||
"id": info["id"], "name": info["name"]})
|
||||
last_end = en
|
||||
return out
|
||||
|
||||
|
||||
def _match_games(text, game_refs):
|
||||
"""从工具实际查到的比赛里，找出文本中提到的比赛（A队 vs B队 相邻出现）。
|
||||
返回卡片数据列表（按球队组合去重，避免系列赛多场重复）。"""
|
||||
cards, seen, seen_pair = [], set(), set()
|
||||
for g in game_refs or []:
|
||||
gid = g.get("id")
|
||||
if not gid or gid in seen:
|
||||
continue
|
||||
away, home = g.get("away_team") or "", g.get("home_team") or ""
|
||||
if not away or not home:
|
||||
continue
|
||||
pair = frozenset((away, home))
|
||||
if pair in seen_pair: # 同一对球队只留一个卡片（优先已结束/最新）
|
||||
continue
|
||||
# 两种顺序都试：'雷霆 4-2 凯尔特人' / '凯尔特人不敌雷霆'
|
||||
hit = None
|
||||
for a, b in ((away, home), (home, away)):
|
||||
pat = re.compile(re.escape(a) + r"[^。\n，,;；]{0,12}?" + re.escape(b))
|
||||
m = pat.search(text)
|
||||
if m:
|
||||
hit = m
|
||||
break
|
||||
if hit:
|
||||
seen.add(gid)
|
||||
seen_pair.add(pair)
|
||||
cards.append({
|
||||
"type": "game", "id": gid,
|
||||
"home_team": g.get("home_team"), "away_team": g.get("away_team"),
|
||||
"home_score": g.get("home_score"), "away_score": g.get("away_score"),
|
||||
"game_time": g.get("game_time"), "status": g.get("status"),
|
||||
"round_name": g.get("round_name"),
|
||||
})
|
||||
return cards
|
||||
|
||||
|
||||
def link_entities(text, game_refs=None):
|
||||
"""主入口：扫描回答文本。
|
||||
返回 (spans, cards)
|
||||
spans: 实体命中区间（前端高亮标记用），按 start 升序、互不重叠
|
||||
cards: 快速查看卡片数据（每类限量，避免刷屏）
|
||||
"""
|
||||
spans = _find_spans(text or "")
|
||||
cards = []
|
||||
seen_cards = set()
|
||||
for sp in spans:
|
||||
key = (sp["type"], sp["id"])
|
||||
if key in seen_cards:
|
||||
continue
|
||||
seen_cards.add(key)
|
||||
info = _card_info(sp["type"], sp["id"])
|
||||
if info:
|
||||
cards.append(info)
|
||||
cards += _match_games(text, game_refs)
|
||||
# 每类最多 4 个卡片
|
||||
by_type = {}
|
||||
for c in cards:
|
||||
by_type.setdefault(c["type"], []).append(c)
|
||||
cards = []
|
||||
for t in ("team", "player", "person", "game"):
|
||||
cards.extend(by_type.get(t, [])[:4])
|
||||
return spans, cards
|
||||
|
||||
|
||||
def _card_info(etype, eid):
|
||||
"""取实体摘要数据（前端卡片直接渲染）"""
|
||||
try:
|
||||
if etype == "team":
|
||||
t = query_one("SELECT * FROM teams WHERE id=?", (eid,))
|
||||
if not t:
|
||||
return None
|
||||
return {"type": "team", "id": t["id"], "name": t["name"], "name_en": t["name_en"],
|
||||
"city": t["city"], "arena": t["arena"], "champion_count": t["champion_count"],
|
||||
"head_coach": t["head_coach"]}
|
||||
if etype == "player":
|
||||
p = query_one("""SELECT p.*, t.name AS team_name FROM players p
|
||||
LEFT JOIN teams t ON p.team_id=t.id WHERE p.id=?""", (eid,))
|
||||
if not p:
|
||||
return None
|
||||
return {"type": "player", "id": p["id"], "name": p["name"], "name_en": p["name_en"],
|
||||
"team": p["team_name"], "position": p["position"], "number": p["number"],
|
||||
"season": {"pts": p["season_pts"], "reb": p["season_reb"], "ast": p["season_ast"]}}
|
||||
if etype == "person":
|
||||
p = query_one("SELECT * FROM persons WHERE id=?", (eid,))
|
||||
if not p:
|
||||
return None
|
||||
return {"type": "person", "id": p["id"], "name": p["name"], "role_cn": p["role_cn"],
|
||||
"title": p["title"]}
|
||||
except Exception:
|
||||
return None
|
||||
return None
|
||||
Reference in New Issue
Block a user