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fix：增加忽略文件

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fuzhongyun 2026-01-12 11:06:39 +08:00
parent b57101ca33
commit 08dee51b9f
17 changed files with 191 additions and 4739 deletions
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.dockerignore Normal file
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# Docker ignore
.git
.venv
__pycache__
*.pyc
.env
index_data/
logs/
*.log

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.env → .env.example
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@ -6,12 +6,12 @@ PORT=9600
# LLM Configuration
LLM_BINDING=ollama
LLM_BINDING_HOST=http://192.168.6.109:11434
LLM_BINDING_HOST=http://localhost:11434
LLM_MODEL=deepseek-v3.2:cloud
# Embedding Configuration
EMBEDDING_BINDING=ollama
EMBEDDING_BINDING_HOST=http://192.168.6.109:11434
EMBEDDING_BINDING_HOST=http://localhost:11434
EMBEDDING_MODEL=bge-m3
# Storage

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.gitignore vendored
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.venv/
__pycache__/
*.pyc
.env
index_data/
logs/
*.log

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deploy.sh
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@ -22,11 +22,12 @@ fi
# 3. 启动新容器
echo "启动服务..."
# 注意：如果是 Linux/WSL，访问宿主机网络可能需要 --network host 或者特殊配置
# 这里假设 Ollama 是在宿主机 192.168.6.109 上，容器内可以直接访问该 IP
# 注意：使用 --env-file 挂载环境变量
# 使用 -v 挂载数据卷，确保数据持久化
docker run -d \
--name $CONTAINER_NAME \
-p $PORT:$PORT \
--env-file .env \
-v "$DATA_DIR":/app/index_data \
--restart unless-stopped \
$IMAGE_NAME

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docs/LightRAG_Technical_Guide.md Normal file
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# 深入浅出 LightRAG：下一代知识图谱增强检索技术详解
> 本文档旨在帮助开发者从零理解 RAG 技术演进，掌握 LightRAG 的核心原理与工程实践。
## 1. 基础概念篇：从 RAG 说起
### 1.1 什么是 RAG？
- **核心痛点**：LLM 的幻觉问题与知识滞后性。
- **解决方案**：检索增强生成 (Retrieval-Augmented Generation)。
- **类比**：考试时允许“翻书”，而不是纯靠“死记硬背”。
### 1.2 为什么需要 LightRAG？
- **传统 RAG 的局限**：
- **碎片化**：只见树木不见森林，难以回答宏观总结类问题（如“文章的主旨是什么？”）。
- **关联弱**：无法有效处理跨段落、跨文档的逻辑关联。
- **Graph RAG 的崛起**：引入知识图谱，让 AI 理解实体间的关系。
- **LightRAG 的定位**：
- **快而轻**：相比微软 GraphRAG 动辄几小时的索引时间，LightRAG 更加轻量高效。
- **双流机制**：同时保留“向量检索”（即时性）和“图谱检索”（结构性）。
### 1.3 横向对比：LightRAG vs 其他框架
| 特性 | Naive RAG (LangChain等) | Microsoft GraphRAG | LightRAG |
| :--- | :--- | :--- | :--- |
| **核心机制** | 纯向量相似度 | 社区聚类 + 图谱 | 双层检索 (图+向量) |
| **索引速度** | 极快 (秒级) | 极慢 (小时级) | 较快 (分钟级) |
| **查询成本** | 低 | 极高 (大量Token消耗) | 中等 |
| **适用场景** | 简单事实问答 | 复杂数据集的宏观分析 | 兼顾细节与宏观的通用场景 |
---
## 2. 核心原理篇：LightRAG 如何工作？
### 2.1 架构总览
LightRAG 的核心在于它构建了一个**双层索引结构**，既能看清“细节”，又能把握“大局”：
```mermaid
graph TD
UserQuery[用户查询] --> KW[关键词提取]
KW -->|High-Level Keywords| Global[全局检索: 关系与宏观主题]
KW -->|Low-Level Keywords| Local[局部检索: 实体与具体细节]
UserQuery -->|Vector Search| Naive[向量检索: 文本片段]
Global --> Context[上下文融合]
Local --> Context
Naive --> Context
Context --> LLM[LLM 生成回答]
```
- **Low-Level (低层)**：具体的实体 (Entity) 和 概念 (Concept)。例如：“IPhone 16”、“A18芯片”。
- **High-Level (高层)**：实体间的关系 (Relation) 和 宽泛的主题。例如：“苹果公司的产品线策略”、“高性能芯片对续航的影响”。
### 2.2 数据处理流水线 (Pipeline)
从一篇文档变成知识库，需要经历以下步骤：
1. **切片 (Chunking)**：
- 将长文档切分为固定大小的文本块。
- **默认策略**：LightRAG 默认以 **1200 tokens** 为窗口大小进行切分，重叠 **100 tokens** 以保持上下文连贯性。
2. **提取 (Extraction)**：
- 利用 LLM 并行分析每个 Chunk。
- **提取目标**：
- **实体 (Entities)**：人名、地名、专有名词。
- **关系 (Relations)**：实体A <-> 关系描述 <-> 实体B。
- *Prompt 优化点*：针对中文环境，我们去除了原版 Prompt 中的 `{language}` 变量依赖，强制 LLM 输出与 Query 同语言的关键词，避免了“中文问->英文搜”的错位。
3. **存储 (Storage)**：
- **向量库 (VectorDB)**：存储文本块 (Chunks) 的 Embedding 向量，用于相似度检索。
- **图数据库 (GraphDB)**：存储节点 (实体) 和边 (关系)，构建知识网络。
- **键值库 (KV Store)**：存储原始文本内容，用于最后生成答案时的上下文回填。
### 2.3 检索模式 (Mode) 详解
LightRAG 支持以下 6 种检索模式（参考 `base.py` 定义）：
1. **Local Mode (局部模式)**
- **原理**：基于 `Low-level Keywords` (实体) 在图谱中寻找一跳邻居 (1-hop neighbors)。
- **场景**：侧重实体细节。例如：“张三的职位是什么？”
2. **Global Mode (全局模式)**
- **原理**：基于 `High-level Keywords` (关系) 在图谱中寻找全局关系路径。
- **场景**：侧重宏观关系。例如：“这家公司的管理层结构是怎样的？”
3. **Hybrid Mode (混合模式)**
- **原理**：`Local` + `Global` 的结合。同时关注细节和宏观。
- **场景**：通用场景，效果最均衡。
4. **Naive Mode (朴素模式)**
- **原理**：纯向量检索 (Vector Only)。不提取关键词，直接拿 Query 向量去撞库。
- **场景**：简单事实匹配，或者图谱尚未构建完成时。
5. **Mix Mode (融合模式)** [默认]
- **原理**：**Hybrid (图谱)** + **Naive (向量)** 的大融合。
- **特点**：最全面的上下文覆盖，但也最消耗 Token。
6. **Bypass Mode (直通模式)**
- **原理**：完全跳过 RAG 检索，直接将 Query 发送给 LLM。
- **场景**：闲聊、打招呼，或者不需要知识库的通用问题。
---
## 3. 工程实现篇：代码与细节
### 3.1 核心类解析 (伪代码)
```python
class LightRAG:
def insert(self, text):
# 1. 切分文本 -> chunks (默认 1200 tokens)
chunks = split_text(text, chunk_size=1200)
# 2. 并行调用 LLM 提取 (Entity, Relation)
# 这里使用 LLM (如 DeepSeek) 进行实体抽取
entities, relations = llm_extract(chunks)
# 3. 更新 Graph 和 VectorDB
graph.add_nodes(entities)
graph.add_edges(relations)
vector_db.add(chunks)
pass
def query(self, question, mode="hybrid"):
# 1. 预处理
# - bypass: 直接 return llm(question)
# - naive: 直接 vector_search(question)
# 2. 关键词提取 (Local/Global/Hybrid/Mix)
# 调用 LLM 分析 Query，提取关键词
# extract_keywords(question) -> {high_level, low_level}
# 3. 根据 mode 选择检索策略
# - local: graph.get_neighbors(low_level_keywords)
# - global: graph.traverse(high_level_keywords)
# - hybrid: local + global
# - mix: knowledge_graph + vector_retrieval
# 4. 收集 Context 并生成答案
# 将检索到的所有 Context 拼接到 System Prompt 中
# 调用 LLM 生成最终回答
pass
```
### 3.2 存储文件详解 (index_data)
在 `index_data` 目录下，你会看到以下核心文件，它们共同构成了 LightRAG 的“大脑”：
| 文件名 | 类型 | 用途 |
| :--- | :--- | :--- |
| `kv_store_text_chunks.json` | KV Store | **原始切片**。存储被切分后的文本块原始内容。 |
| `kv_store_full_docs.json` | KV Store | **完整文档**。存储上传的原始文档内容。 |
| `graph_chunk_entity_relation.graphml` | Graph | **知识图谱**。使用 NetworkX 格式存储实体(点)和关系(边)的拓扑结构。 |
| `vdb_entities.json` | Vector | **实体向量**。用于通过向量相似度查找相关实体。 |
| `vdb_chunks.json` | Vector | **切片向量**。用于 Naive 模式下的文本相似度检索。 |
| `vdb_relationships.json` | Vector | **关系向量**。用于查找相关的关系描述。 |
| `lightrag_cache.json` | Cache | **LLM 缓存**。存储 LLM 的历史响应，避免对相同问题重复调用 API (省钱神器)。 |
### 3.3 性能优化策略
- **异步并发**：LightRAG 内部大量使用 `async/await`，特别是在实体提取阶段，会并发请求 LLM，极大缩短索引时间。
- **缓存机制**：`lightrag_cache.json` 实现了请求级缓存。如果你的 Prompt 和输入没变，它会直接返回历史结果，0 延迟，0 成本。
- **增量更新**：RAG 不支持直接“修改”文档。我们的策略是 `Delete-then-Insert`（先删后加），确保图谱结构的原子性更新。
---
## 4. 实战指南：注意事项
- **LLM 选择**：LightRAG 强依赖 LLM 的指令遵循能力（用于提取实体）。推荐使用 **DeepSeek-V3**、**Qwen-2.5** 等强力模型，小模型（<7B）可能会导致提取失败。
- **成本控制**：
- **索引成本**：较高。因为要对全文做精细的实体提取。
- **查询成本**：中等。Hybrid 模式下，Context 长度可能会较长，注意控制 `top_k` 参数。
- **部署建议**：推荐使用 Docker 部署，屏蔽环境差异。API 服务已封装了队列机制，但底层写操作（索引）是单线程锁定的，**请勿多实例挂载同一目录并发写入**。

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"content": "1 / 10\n成都蓝色兄弟网络科技有限公司\n考勤管理制度（2021年版本）\n1.0目的\n为了促进规范化、标准化建设工作，维护正常的办公秩序，提高工作效\n率，规范员工考勤、请休假管理，参照国家有关法律法规，结合企业实际情\n况，特制定本制度。\n2.0适用范围和传达对象\n2.1适用范围\n本制度适用于除总经理以外的全体员工。\n2.2传达对象\n本制度必须传达至各部门及所有员工。\n3.0术语\n出勤：指员工于规定的工作时间，按时到岗位从事本职工作。按照《劳\n动法》和《劳动合同法》及国家有关法律法规规定，结合公司实际情况而规\n定的应出勤天数。\n4.0管理程序与要求\n4.1出勤管理\n公司实行国家标准工作时\n员工日标准工作时间为09：30—18:30（含1小时午休时间）。\n4.1.1迟到\n4.1.1.1时间计算\n自公司规定上班时间起至员工实际到岗时间止，1 分钟（含）以上，2\n小时以内的记为员工迟到时间，并给予处罚。\n4.1.1.2处罚规定\na、迟到/事假/病假，取消当月全勤奖；\n2 / 10\n迟到30分钟以内（9:31-10:00）每次扣款50元；\n10:01-10:30迟到每次扣款100元；\n10:31-11:30迟到每次扣款200元\nb、当月迟到前 2 次按前述条款正常扣款，2 次之后每迟到 1 分钟，按\n50元/分钟计算\nc、当月迟到5 次，或当月事假+迟到=5 次，取消当年年终奖，并扣除当\n月全部绩效工资。\nd、当月迟到10 次，或当月事假+迟到次数=10次，如无特殊原因，属严\n重违纪行为，列入重点考察人员名单，取消当年年终奖，并扣除当月全\n部绩效工资并做深刻反思检讨报告，拒不整改者，公司将给予劝退处理。\n4.1.2早退\n4.1.2.1时间计算\n以员工提前下班的时间开始计算，至规定的下班时间为止，以上时间均\n计为早退时间。\n4.1.2.2处罚规定\na、早退每次罚款50元；\nb、超过30分钟者，罚款100元；\nc、当月累计早退超过5次，公司可单方面解除劳动合同。\n4.1.3旷工\n4.1.3.1时间计算\na、以公司规定的上班时间起，员工未到岗时间超过2 小时以上的计为旷\n工时间；以公司规定的下班时间为准，员工提前离岗时间超过2小时以上的\n计为旷工时间。\nb、员工旷工时间在4小时以内(含4 小时)按旷工半天计算；旷工时间在\n4小时至一个工作日以内的，按旷工1 天计算。\n3 / 10\n4.1.3.2处罚规定\na、旷工期间不发放任何薪资；\nb、旷工半天处罚1.5天工资的标准及岗位津贴、福利补助；\nc、旷工一天处罚3 天工资的标准及岗位津贴、福利补助；\nd、一月内连续旷工3天或累计旷工5 天的，公司将解除员工劳动合同；\ne、全年累计旷工7 天的，公司将解除员工劳动合同；\nf、员工旷工影响公司正常经营的，公司将根据实际工作需要调整其工作\n岗位，如不接受公司岗位调整安排，公司可解除员工劳动合同；\n4.1.3.3员工未经批准休假的，休假期间视为旷工；员工以不正当手段骗取、\n涂改、伪造休假证明的，按旷工处理。\n4.1.4出差\n4.1.4.1时间计算\n以员工接受出差任务离开公司时开始起算，至员工返回所在公司出勤时\n为止，以上均计为出差时间。\n4.1.4.2薪资待遇\n员工出差按正常出勤处理，享受所在岗位的规定薪资待遇。\n4.1.4.3相关规定\na、员工出差期间的出勤证明由员工所在部门负责人或出差期间项目负责\n人提供，经部门负责人钉钉签字确认；\nb、出差须钉钉填写出差申请表\n4.2日常假期管理\n4.2.1事假\n4.2.1.1事假的界定\n事假就是指员工除公司规定的各种假期外因私事不能按时到岗出勤，而\n提出休假申请经批准的，休息期间为事假。\n4 / 10\n4.2.1.2事假的审批程序\n员工有事必须亲自申请事假，并钉<E5B9B6>",
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"content": "4.2日常假期管理\n4.2.1事假\n4.2.1.1事假的界定\n事假就是指员工除公司规定的各种假期外因私事不能按时到岗出勤，而\n提出休假申请经批准的，休息期间为事假。\n4 / 10\n4.2.1.2事假的审批程序\n员工有事必须亲自申请事假，并钉钉填写请假条，经主管人员和领导审\n批后，即可。\n4.2.1.3事假的审批权限\n事假必须由直接主管和总经理审批，抄送人力资源部；\n4.2.1.4事假执行\n请事假期间，不发放任何薪资及与考勤挂钩的补贴，同时须扣事假期间\n工资\n应扣工资=月工资/当月应出勤天数×请假天数。\n4.2.1.5员工必须钉钉办完请假手续后再休假。如遇特殊情况，未能事先请假，\n要于事假当日告知部门负责人，并于返岗之日出具证明，经部门负责人查明\n属实后2个工作内办理补假手续。\n4.2.1.6相关规定\na、员工全年累计事假一般不得超过20天，超过20天取消当年的年终奖。\nb、员工当月的事假达15天以上的，取消当年的年终奖金。\nc、当月事假3 次，或当月事假+迟到=5次，取消当年年终奖，并扣除当\n月全部绩效工资。\ne、当月事假 5 次，或当月事假+迟到次数=10次，如无特殊原因，属严\n重违纪行为，列入重点考察人员名单，取消当年年终奖，并扣除当月全部绩\n效工资并做深刻反思检讨报告，拒不整改者，公司将给予劝退处理。\nf、员工休事假期间遇意外伤害等事故，责任由员工个人负担。\ng、事假连续超过一个月的，由所在公司人力资源部（相关部门）与员工\n确认是否继续办理社保。若继续办理，则由员工垫付事假期间的社保费用全\n额（含公司需支付部分）；若自愿终止办理，则由所在公司人力资源部（相\n关部门）填写社保减少表，按停保手续办理。\n5 / 10\nh、员工病假、婚假、丧假、产假、带薪年休假等假期未按规定办理请假\n手续的，视为事假处理。\nj、未履行请假手续、没有经过批准而擅自离开工作岗位、假期后未归又\n无续假批准手续者，按旷工处理；\nk、如因当事人的擅自离岗而给公司造成直接或间接损失的，将对当事人\n预以经济处罚，情节严重的除承担相应的处罚外，公司将解除员工劳动合同\n关系。\n4.2.2病假\n4.2.2.1病假的界定\n员工因生病而产生的治疗假或直系亲属生病需特殊照顾（照顾直系亲属\n需提供直接证明：如病历及医院图片证明）。\n4.2.2.2病假的请假程序\na、员工因病或因直系亲属需要特殊照顾而无法正常工作，报部门主管及\n行政部后可请病假。员工连续请病假在需提供区县级以上医院的病假证明，\n交行政部审核，否则按事假扣除。离职通知期内请病假，均需提供就医证明。\nb、长期病假：超过3天的病假属于长期病假，长期病假前3 天的工资按\n照50%日工资扣除，超过3天的天数不计算工资。员工长期跨月休假或入院\n治疗期间，每月必须提供区县级以上医院的诊疗记录及病假证明。否则公司\n有权解除劳动合同。由此而解除劳动合同的，公司不予支付任何经济补偿。\nc、员工伪造医院证明骗取假期的，一经查实，将扣回已发薪资，已休病\n假按照旷工处理。通知上班而拒不上班者，公司有权解除劳动合同，由此而\n解除劳动合同的，公司不予支付任何经济补偿。\ne、病假天数以医院出具的病假证明书建议的病假天数为依据，经部门\n负责人和分管领导审核后报公司行政人力资源部审核确定。\nc、病假天数以医院出具的病假证明书建议的病假天数为依据，经部门负\n6 / 10\n责人和分管领导审核后报公司行政人力资源部审核确定。\n4.2.2.3薪资待遇\na、病假每日扣除工资的50%\nb、病假 1个月以内，根据员工病假天数按员工月基本收入标准的80％\n计发，扣发病假期间与考勤挂钩的补贴。但如发放薪资低于所在地最低工资\n标准80%的，按最低工资标准的80%",
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"content": "管领导审核后报公司行政人力资源部审核确定。\n4.2.2.3薪资待遇\na、病假每日扣除工资的50%\nb、病假 1个月以内，根据员工病假天数按员工月基本收入标准的80％\n计发，扣发病假期间与考勤挂钩的补贴。但如发放薪资低于所在地最低工资\n标准80%的，按最低工资标准的80%发放。\nc、员工月内病假达到20天及以上的，取消当年的年终绩效奖。\n4.2.2.4相关规定\na、公司员工非因工致残和经医生或医疗机构认定患有难以治疗的疾病，\n医疗期满，应当由劳动鉴定委员会参照工伤与职业病致残程度鉴定标准进行\n劳动能力的鉴定。被鉴定为一至四级的，退出劳动岗位，解除劳动关系。符\n合办理退休、退职条件的，办理退休、退职手续，享受退休、退职待遇。试\n用期员工非因工致残和经医生或医疗机构认定患有难以治疗的疾病，或医疗\n期超过1个月，依照《劳动法》及国家有关规定，解除劳动关系。\nb、医疗期满尚未痊愈者，依照《劳动法》及国家有关规定解除劳动关系。\n4.2.3婚假\n4.2.3.1婚假办理程序\n公司凡正式的员工，且工龄一年以上的，可以请婚假，婚假为三天。\n凡请婚假的员工，必须凭民政局出示的结婚证书，钉钉申请请假条，报\n公司总经理批准后方可执行。\n4.2.3.2婚假办理要求\na、各部门凡请婚假的员工，必须上报至公司行政人力资源部。\nb、请婚假的员工必须提前七天同部门主管和负责人共同商讨，必须以不\n影响部门正常经营管理活动为准。\nc、凡民政部门开具的结婚证明，从结婚证生效之日起一年内有效。\n7 / 10\nd、员工须凭结婚证原件提前10个工作日向部门负责人和人力资源部（相\n关部门）提出休假申请，并钉钉填写请假条，具体参照事假请假程序办理。\n如有特殊情况，在请假前不能提供结婚证明的，可以事先说明，待休假返回\n公司后一个星期内提供其结婚证明，休假期间方可按婚假处理，如仍不能提\n供结婚证明的，休假期间按事假处理。\ne、员工在公司受雇用期间，达到国家法定婚龄办理登记结婚的，可享受\n婚假，且只可享受一次婚假，并限结婚注册登记一年内有效；婚假应一次性\n连续休完，未经批准，不得分期休假；婚假期间公司要求员工上班的，所占\n用的休假时间，应安排员工在年度内另行补休。无法安排补休的，不予以补\n休。\n4.2.3.3婚假的执行\n员工请婚假期间的工资照发，不作扣除。\n4.2.4丧假\n4.2.4.1丧假的界定\n凡员工的直系亲属（含父母、配偶、子女）逝世者而请的假。\n4.2.4.2丧假的请假程序\n员工需要请丧假的，钉钉填写请假条后，按照请事假的程序执行请假手\n续与审批流程。\n4.2.4.3丧假的规定\n正式员工的直系亲属丧亡者可请假3 天。\n4.2.4.4丧假的执行\na、丧假期间，员工工资正常发放，不予以扣除。\nb、丧假期间，遇休公休假，交叉的时间不再另给付。\n4.2.5产假\n4.2.5.1产假的界定\n8 / 10\n经公司人力资源部门审查，工龄在一年以上持有生育指标的正式女职工\n可享受产假。\n4.2.5.2产假的请假程序\n员工需要请产假的，需在其预产期前至少3 个月通知公司并钉钉填写请\n假条后，按照请事假的程序执行请假手续与审批流程。\n4.2.5.3产假的规定\na、女员工顺产产假为98 天（包括公休日及法定假日）。\nb、女员工破腹产产假为128 天（包括公休日及法定假日）。\nc、陪产假。经公司人力资源部审查，其配偶持有生育指标的正式男职员\n可享受陪产假20天。\n4.2.5.4产假的执行\n员工请产假期间，只发放基本工资。\n4.2.6 年假\n4.2.6.1 年假的规定\na、公司正式员工入职满1年不满 10年，年休假5天；\nb、已满10年不满20年，年休假 10天。\nc、",
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"content": "育指标的正式男职员\n可享受陪产假20天。\n4.2.5.4产假的执行\n员工请产假期间，只发放基本工资。\n4.2.6 年假\n4.2.6.1 年假的规定\na、公司正式员工入职满1年不满 10年，年休假5天；\nb、已满10年不满20年，年休假 10天。\nc、已满20年的，年休假15天。\n国家法定休假日、休息日不计入年休假的假期。\n4.2.6.2 年假的执行\na、年休假在一个自然年度内，可以集中安排，也可以分段安排；年休假\n应在当年休完，不跨年度安排。\nc、员工年休假不得与“十一”等节假日、休息日连休。\nd、凡一年中已享受婚假、产假、丧假、事假、病假累计超过二十天的员\n工，均不再享有年休假。\n4.2.6.3年休假的计算\n9 / 10\n职工新进用人单位且入职满1 年，当年度年休假天数，按照在本单位剩\n余日历天数折算确定，折算后不足1整天的部分不享受年休假。\n前款规定的折算方法为：（当年度在本单位剩余日历天数÷365 天）×职\n工本人全年应当享受的年休假天数。\n4.3 考勤管理\n4.3.1公司作息时间原则上规定为 09：30—18：30。\n4.3.2 公司实行钉钉考勤制度，所有员工（含见习试用期员工）每天上班必\n须钉钉打卡。\n4.3.3特殊工作性质的部门或员工经公司总经理特批核准者，可不打卡。\n4.3.4凡是当月忘记打卡，次月 1 日未申请补卡，罚款 50 元/次，超过3 次，\n罚款100元/次。\n4.3.5考勤周期\n各部门应按月规定考勤周期，其起止时间为自然月，由公司行政人力资\n源部负责管理。\n4.3.6员工外出\n员工外出，均需钉钉填写外出申请表，报总经理审批后，行政人力资源\n部备案方可外出。\n4.3.7 公司安排会议时员工迟到、早退或请假的，按上述迟到、早退、事假\n条款执行。\n4.3.8 除病假/丧假以外，其余所有请假均需钉钉流程全部审核通过方可请\n假，否则一律按旷工处理。\n4.4 全勤奖励\n4.4.1月全勤奖励。对于当月全勤的员工，公司给予 100 元/人的奖励。\n4.4.2 年度全勤奖励。对于全年全勤的员工，公司在年底一次性给予 2000\n10 / 10\n元/人的奖励。\n5.0管理职责\n5.1 行政人力资源部\na、根据公司的实际情况制定、修改并解释《考勤管理制度》；\nb、负责公司考勤数据、资料的收集、整理；\nc、负责对公司员工日常考勤管理的监督、核查、管理。\n6.0\n本制度自下发之日起开始执行\n本制度最终解释权归人力资源部",
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