feat: initial commit

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Entity Linker - 实体消歧辅助模块 (v5.4)
为 Data Agent 提供实体消歧的辅助功能:
- 置信度判断
- 别名索引管理 (通过 index.db aliases 表)
- 消歧结果记录
v5.1 变更(v5.4 沿用):
- 别名存储从 state.json 迁移到 index.db aliases 表
- 使用 IndexManager 进行别名读写
- 移除对 state.json 的直接操作
"""
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass, field
from .config import get_config
from .index_manager import IndexManager
from .observability import safe_log_tool_call
@dataclass
class DisambiguationResult:
"""消歧结果"""
mention: str
entity_id: Optional[str]
confidence: float
candidates: List[str] = field(default_factory=list)
adopted: bool = False
warning: Optional[str] = None
class EntityLinker:
"""实体链接器 - 辅助 Data Agent 进行实体消歧 (v5.1 SQLitev5.4 沿用)"""
def __init__(self, config=None):
self.config = config or get_config()
self._index_manager = IndexManager(self.config)
# ==================== 别名管理 (v5.1 SQLitev5.4 沿用) ====================
def register_alias(self, entity_id: str, alias: str, entity_type: str = "角色") -> bool:
"""注册新别名(v5.1 引入:写入 index.db aliases 表)"""
if not alias or not entity_id:
return False
return self._index_manager.register_alias(alias, entity_id, entity_type)
def lookup_alias(self, mention: str, entity_type: str = None) -> Optional[str]:
"""查找别名对应的实体ID(返回第一个匹配,可选按类型过滤)"""
entries = self._index_manager.get_entities_by_alias(mention)
if not entries:
return None
if entity_type:
for entry in entries:
if entry.get("type") == entity_type:
return entry.get("id")
return None
else:
return entries[0].get("id") if entries else None
def lookup_alias_all(self, mention: str) -> List[Dict]:
"""查找别名对应的所有实体(一对多)"""
entries = self._index_manager.get_entities_by_alias(mention)
return [{"type": e.get("type"), "id": e.get("id")} for e in entries]
def get_all_aliases(self, entity_id: str, entity_type: str = None) -> List[str]:
"""获取实体的所有别名"""
return self._index_manager.get_entity_aliases(entity_id)
# ==================== 置信度判断 ====================
def evaluate_confidence(self, confidence: float) -> Tuple[str, bool, Optional[str]]:
"""
评估置信度,返回 (action, adopt, warning)
- action: "auto" | "warn" | "manual"
- adopt: 是否采用
- warning: 警告信息
"""
if confidence >= self.config.extraction_confidence_high:
return ("auto", True, None)
elif confidence >= self.config.extraction_confidence_medium:
return ("warn", True, f"中置信度匹配 (confidence: {confidence:.2f})")
else:
return ("manual", False, f"需人工确认 (confidence: {confidence:.2f})")
def process_uncertain(
self,
mention: str,
candidates: List[str],
suggested: str,
confidence: float,
context: str = ""
) -> DisambiguationResult:
"""
处理不确定的实体匹配
返回消歧结果,包含是否采用、警告信息等
"""
action, adopt, warning = self.evaluate_confidence(confidence)
result = DisambiguationResult(
mention=mention,
entity_id=suggested if adopt else None,
confidence=confidence,
candidates=candidates,
adopted=adopt,
warning=warning
)
return result
# ==================== 批量处理 ====================
def process_extraction_result(
self,
uncertain_items: List[Dict]
) -> Tuple[List[DisambiguationResult], List[str]]:
"""
处理 AI 提取结果中的 uncertain 项
返回 (results, warnings)
"""
results = []
warnings = []
for item in uncertain_items:
result = self.process_uncertain(
mention=item.get("mention", ""),
candidates=item.get("candidates", []),
suggested=item.get("suggested", ""),
confidence=item.get("confidence", 0.0),
context=item.get("context", "")
)
results.append(result)
if result.warning:
warnings.append(f"{result.mention}{result.entity_id}: {result.warning}")
return results, warnings
def register_new_entities(
self,
new_entities: List[Dict]
) -> List[str]:
"""
注册新实体的别名 (v5.1 引入,v5.4 沿用)
返回注册的实体ID列表
"""
registered = []
for entity in new_entities:
entity_id = entity.get("suggested_id") or entity.get("id")
if not entity_id or entity_id == "NEW":
continue
entity_type = entity.get("type", "角色")
# 注册主名称
name = entity.get("name", "")
if name:
self.register_alias(entity_id, name, entity_type)
# 注册提及方式
for mention in entity.get("mentions", []):
if mention and mention != name:
self.register_alias(entity_id, mention, entity_type)
registered.append(entity_id)
return registered
# ==================== CLI 接口 ====================
def main():
import argparse
import sys
from .cli_output import print_success, print_error
from .cli_args import normalize_global_project_root
from .index_manager import IndexManager
parser = argparse.ArgumentParser(description="Entity Linker CLI (v5.4 SQLite)")
parser.add_argument("--project-root", type=str, help="项目根目录")
subparsers = parser.add_subparsers(dest="command")
# 注册别名
register_parser = subparsers.add_parser("register-alias")
register_parser.add_argument("--entity", required=True, help="实体ID")
register_parser.add_argument("--alias", required=True, help="别名")
register_parser.add_argument("--type", default="角色", help="实体类型(默认:角色)")
# 查找别名
lookup_parser = subparsers.add_parser("lookup")
lookup_parser.add_argument("--mention", required=True, help="提及文本")
lookup_parser.add_argument("--type", help="按类型过滤")
# 查找所有匹配(一对多)
lookup_all_parser = subparsers.add_parser("lookup-all")
lookup_all_parser.add_argument("--mention", required=True, help="提及文本")
# 列出别名
list_parser = subparsers.add_parser("list-aliases")
list_parser.add_argument("--entity", required=True, help="实体ID")
list_parser.add_argument("--type", help="实体类型")
argv = normalize_global_project_root(sys.argv[1:])
args = parser.parse_args(argv)
# 初始化
config = None
if args.project_root:
# 允许传入“工作区根目录”,统一解析到真正的 book project_root(必须包含 .noma/state.json
from project_locator import resolve_project_root
from .config import DataModulesConfig
resolved_root = resolve_project_root(args.project_root)
config = DataModulesConfig.from_project_root(resolved_root)
linker = EntityLinker(config)
logger = IndexManager(config)
tool_name = f"entity_linker:{args.command or 'unknown'}"
def emit_success(data=None, message: str = "ok"):
print_success(data, message=message)
safe_log_tool_call(logger, tool_name=tool_name, success=True)
def emit_error(code: str, message: str, suggestion: str | None = None):
print_error(code, message, suggestion=suggestion)
safe_log_tool_call(
logger,
tool_name=tool_name,
success=False,
error_code=code,
error_message=message,
)
if args.command == "register-alias":
entity_type = getattr(args, "type", "角色")
success = linker.register_alias(args.entity, args.alias, entity_type)
if success:
emit_success({"entity": args.entity, "alias": args.alias, "type": entity_type}, message="alias_registered")
else:
emit_error("ALIAS_EXISTS", "注册失败或已存在")
elif args.command == "lookup":
entity_type = getattr(args, "type", None)
entity_id = linker.lookup_alias(args.mention, entity_type)
if entity_id:
emit_success({"mention": args.mention, "entity": entity_id}, message="lookup")
else:
emit_error("NOT_FOUND", f"未找到别名: {args.mention}")
elif args.command == "lookup-all":
matches = linker.lookup_alias_all(args.mention)
emit_success(matches, message="lookup_all")
elif args.command == "list-aliases":
entity_type = getattr(args, "type", None)
aliases = linker.get_all_aliases(args.entity, entity_type)
emit_success(aliases, message="aliases")
else:
emit_error("UNKNOWN_COMMAND", "未指定有效命令", suggestion="请查看 --help")
if __name__ == "__main__":
main()