Files
rag/core/agentic_context.py
lacerate551 100d1a06eb init: RAG 知识库服务初始提交
- 后端 API(Flask + Gunicorn)
- RAG 引擎(混合检索 + 云端 Reranker + 引用溯源)
- 文档解析(MinerU + 多格式支持)
- Docker 生产部署配置
- 排除前端项目、敏感配置、模型文件
2026-06-04 17:35:27 +08:00

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"""
Agentic RAG - 上下文处理 Mixin
包含上下文压缩、去重、Token 控制等方法
"""
import logging
from .agentic_base import logger, MAX_CONTEXT_TOKENS, RERANK_THRESHOLD
logger = logging.getLogger(__name__)
class ContextMixin:
"""上下文处理方法"""
def _compress_contexts(self, query: str, contexts: list) -> list:
"""上下文压缩三步走Rerank 过滤 → 去重 → Token 控制"""
if not contexts:
return contexts
# Step 1: Rerank 过滤
filtered = self._rerank_filter(contexts)
# Step 2: 去重
deduped = self._deduplicate_contexts(filtered)
# Step 3: Token 控制
result = self._truncate_to_tokens(deduped, self.MAX_CONTEXT_TOKENS)
return result
def _rerank_filter(self, contexts: list) -> list:
"""Rerank 过滤 - 保留相关性分数 >= 阈值的上下文"""
scored_contexts = [c for c in contexts if c.get('score') is not None]
if scored_contexts:
filtered = [c for c in contexts if c.get('score', 0) >= self.RERANK_THRESHOLD]
return filtered if filtered else contexts
return contexts
def _deduplicate_contexts(self, contexts: list, threshold: float = 0.9) -> list:
"""去重 - 基于内容相似度去重"""
if len(contexts) <= 1:
return contexts
result = []
seen_keys = set()
for c in contexts:
doc = c.get('doc', '')
key = doc[:100] if doc else ''
meta = c.get('meta', {})
source = meta.get('source', '')
page = meta.get('page', '')
composite_key = f"{source}|{page}|{key}"
if composite_key not in seen_keys:
seen_keys.add(composite_key)
result.append(c)
return result
def _truncate_to_tokens(self, contexts: list, max_tokens: int) -> list:
"""Token 控制 - 截断到最大 Token 数"""
result = []
total_tokens = 0
for c in contexts:
doc = c.get('doc', '')
# 简单估算1 token ≈ 1.5 中文字符
tokens = len(doc) // 1.5
if total_tokens + tokens <= max_tokens:
result.append(c)
total_tokens += tokens
else:
break
return result
def _merge_and_deduplicate(self, old_contexts: list, new_contexts: list) -> list:
"""合并并去重两个上下文列表"""
result = list(old_contexts)
seen_keys = set()
# 记录已有上下文的 key
for c in old_contexts:
doc = c.get('doc', '')
key = doc[:100] if doc else ''
meta = c.get('meta', {})
source = meta.get('source', '')
composite_key = f"{source}|{key}"
seen_keys.add(composite_key)
# 添加新上下文(去重)
for c in new_contexts:
doc = c.get('doc', '')
key = doc[:100] if doc else ''
meta = c.get('meta', {})
source = meta.get('source', '')
composite_key = f"{source}|{key}"
if composite_key not in seen_keys:
seen_keys.add(composite_key)
result.append(c)
return result