add README to graph (#1211)

### What problem does this PR solve?


### Type of change

- [x] Documentation Update

graph/README.md

+English | [简体中文](./README_zh.md)
+
+# *Graph*
+
+
+## Introduction
+
+*Graph* is a mathematical concept which is composed of nodes and edges. 
+It is used to compose a complex work flow or agent. 
+And this graph is beyond the DAG that we can use circles to describe our agent or work flow.
+Under this folder, we propose a test tool ./test/client.py which can test the DSLs such as json files in folder ./test/dsl_examples.
+Please use this client at the same folder you start RAGFlow. If it's ran by docker, please go into the container before running the client.
+Otherwise, correct configurations in conf/service_conf.yaml is essential.
+
+```bash
+PYTHONPATH=path/to/ragflow python graph/test/client.py -h
+usage: client.py [-h] -s DSL -t TENANT_ID -m
+
+options:
+  -h, --help            show this help message and exit
+  -s DSL, --dsl DSL     input dsl
+  -t TENANT_ID, --tenant_id TENANT_ID
+                        Tenant ID
+  -m, --stream          Stream output
+```
+<div align="center" style="margin-top:20px;margin-bottom:20px;">
+<img src="https://github.com/infiniflow/ragflow/assets/12318111/79179c5e-d4d6-464a-b6c4-5721cb329899" width="1000"/>
+</div>
+
+
+## How to gain a TENANT_ID in command line?
+<div align="center" style="margin-top:20px;margin-bottom:20px;">
+<img src="https://github.com/infiniflow/ragflow/assets/12318111/419d8588-87b1-4ab8-ac49-2d1f047a4b97" width="600"/>
+</div>
+💡 We plant to display it here in the near future.
+<div align="center" style="margin-top:20px;margin-bottom:20px;">
+<img src="https://github.com/infiniflow/ragflow/assets/12318111/c97915de-0091-46a5-afd9-e278946e5fe3" width="600"/>
+</div>
+
+
+## How to set 'kb_ids' for component 'Retrieval' in DSL?
+<div align="center" style="margin-top:20px;margin-bottom:20px;">
+<img src="https://github.com/infiniflow/ragflow/assets/12318111/0a731534-cac8-49fd-8a92-ca247eeef66d" width="600"/>
+</div>
+

graph/README_zh.md

+[English](./README.md) | 简体中文
+
+# *Graph*
+
+
+## 简介
+
+"Graph"是一个由节点和边组成的数学概念。
+它被用来构建复杂的工作流或代理。
+这个图超越了有向无环图（DAG），我们可以使用循环来描述我们的代理或工作流。
+在这个文件夹下，我们提出了一个测试工具 ./test/client.py，
+它可以测试像文件夹./test/dsl_examples下一样的DSL文件。
+请在启动 RAGFlow 的同一文件夹中使用此客户端。如果它是通过 Docker 运行的，请在运行客户端之前进入容器。
+否则，正确配置 conf/service_conf.yaml 文件是必不可少的。
+
+```bash
+PYTHONPATH=path/to/ragflow python graph/test/client.py -h
+usage: client.py [-h] -s DSL -t TENANT_ID -m
+
+options:
+  -h, --help            show this help message and exit
+  -s DSL, --dsl DSL     input dsl
+  -t TENANT_ID, --tenant_id TENANT_ID
+                        Tenant ID
+  -m, --stream          Stream output
+```
+<div align="center" style="margin-top:20px;margin-bottom:20px;">
+<img src="https://github.com/infiniflow/ragflow/assets/12318111/05924730-c427-495b-8ee4-90b8b2250681" width="1000"/>
+</div>
+
+
+## 命令行中的TENANT_ID如何获得?
+<div align="center" style="margin-top:20px;margin-bottom:20px;">
+<img src="https://github.com/infiniflow/ragflow/assets/12318111/419d8588-87b1-4ab8-ac49-2d1f047a4b97" width="600"/>
+</div>
+💡 后面会展示在这里：
+<div align="center" style="margin-top:20px;margin-bottom:20px;">
+<img src="https://github.com/infiniflow/ragflow/assets/12318111/c97915de-0091-46a5-afd9-e278946e5fe3" width="600"/>
+</div>
+
+
+## DSL里面的Retrieval组件的kb_ids怎么填?
+<div align="center" style="margin-top:20px;margin-bottom:20px;">
+<img src="https://github.com/infiniflow/ragflow/assets/12318111/0a731534-cac8-49fd-8a92-ca247eeef66d" width="600"/>
+</div>
+

graph/canvas.py

 
 from graph.component import component_class
 from graph.component.base import ComponentBase
-from graph.settings import flow_logger
+from graph.settings import flow_logger, DEBUG
 
 
 class Canvas(ABC):
                 if cpn.component_name == "Answer":
                     self.answer.append(c)
                 else:
-                    print("RUN: ", c)
+                    if DEBUG: print("RUN: ", c)
                     ans = cpn.run(self.history, **kwargs)
                     self.path[-1].append(c)
                 ran += 1
 
         prepare2run(self.components[self.path[-2][-1]]["downstream"])
         while ran < len(self.path[-1]):
-            print(ran, self.path)
+            if DEBUG: print(ran, self.path)
             cpn_id = self.path[-1][ran]
             cpn = self.get_component(cpn_id)
             if not cpn["downstream"]: break

graph/component/base.py

 import pandas as pd
 
 from graph import settings
-from graph.settings import flow_logger
+from graph.settings import flow_logger, DEBUG
 
 _FEEDED_DEPRECATED_PARAMS = "_feeded_deprecated_params"
 _DEPRECATED_PARAMS = "_deprecated_params"
             reversed_cpnts.extend(self._canvas.path[-2])
         reversed_cpnts.extend(self._canvas.path[-1])
 
-        print(self.component_name, reversed_cpnts[::-1])
+        if DEBUG: print(self.component_name, reversed_cpnts[::-1])
         for u in reversed_cpnts[::-1]:
             if self.get_component_name(u) in ["switch"]: continue
             if self.component_name.lower().find("switch") < 0 \

graph/component/categorize.py

 from api.db import LLMType
 from api.db.services.llm_service import LLMBundle
 from graph.component import GenerateParam, Generate
+from graph.settings import DEBUG
 
 
 class CategorizeParam(GenerateParam):
 
     def _run(self, history, **kwargs):
         input = self.get_input()
-        print(input, "DDDDDDDDDDDDDDDDDDDDDDDDDDDDD")
         input = "Question: " + ("; ".join(input["content"]) if "content" in input else "") + "Category: "
         chat_mdl = LLMBundle(self._canvas.get_tenant_id(), LLMType.CHAT, self._param.llm_id)
         ans = chat_mdl.chat(self._param.get_prompt(), [{"role": "user", "content": input}],
                             self._param.gen_conf())
-        print(ans, ":::::::::::::::::::::::::::::::::")
+        if DEBUG: print(ans, ":::::::::::::::::::::::::::::::::", input)
         for c in self._param.category_description.keys():
             if ans.lower().find(c.lower()) >= 0:
                 return Categorize.be_output(self._param.category_description[c]["to"])

graph/settings.py

 from api.utils.file_utils import get_project_base_directory
 from api.utils.log_utils import LoggerFactory, getLogger
 
+DEBUG = 0
 LoggerFactory.set_directory(
     os.path.join(
         get_project_base_directory(),
 flow_logger = getLogger("flow")
 database_logger = getLogger("database")
 FLOAT_ZERO = 1e-8
-PARAM_MAXDEPTH = 5
+PARAM_MAXDEPTH = 5

graph/test/client.py

 from functools import partial
 import readline
 from graph.canvas import Canvas
+from graph.settings import DEBUG
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
     )
     parser.add_argument('-s', '--dsl', default=dsl_default_path, help="input dsl", action='store', required=True)
     parser.add_argument('-t', '--tenant_id', default=False, help="Tenant ID", action='store', required=True)
-    parser.add_argument('-m', '--stream', default=False, help="Stream output", action='store_true', required=True)
+    parser.add_argument('-m', '--stream', default=False, help="Stream output", action='store_true', required=False)
     args = parser.parse_args()
 
     canvas = Canvas(open(args.dsl, "r").read(), args.tenant_id)
     while True:
         ans = canvas.run(stream=args.stream)
-        print("==================== Bot =====================\n>    ")
+        print("==================== Bot =====================\n>    ", end='')
         if args.stream and isinstance(ans, partial):
             cont = ""
             for an in ans():
-                print(an["content"][len(cont):], end='')
+                print(an["content"][len(cont):], end='', flush=True)
                 cont = an["content"]
         else:
             print(ans["content"])
 
-        print(canvas.path)
-        question = input("==================== User =====================\n> ")
+        if DEBUG: print(canvas.path)
+        question = input("\n==================== User =====================\n> ")
         canvas.add_user_input(question)

graph/test/dsl_examples/customer_service.json

                 "obj":{
                     "component_name": "Begin",
                     "params": {
-                      "prologue": "Hi there!"
+                      "prologue": "Hi! How can I help you?"
                     }
                 },
                 "downstream": ["answer:0"],