refine templates of graph (#1368)

### What problem does this PR solve?

#918 
### Type of change

- [x] New Feature (non-breaking change which adds functionality)

api/apps/canvas_app.py

@@ -36,7 +36,7 @@ def templates():
 @login_required
 def canvas_list():
     return get_json_result(data=sorted([c.to_dict() for c in \
-                                 UserCanvasService.query(user_id=current_user.id)], key=lambda x: x["update_time"])
+                                 UserCanvasService.query(user_id=current_user.id)], key=lambda x: x["update_time"]*-1)
                            )
 
 
@@ -148,7 +148,7 @@ def reset():
     req = request.json
     try:
         user_canvas = UserCanvasService.get_by_id(req["canvas_id"])
-        canvas = Canvas(req["dsl"], current_user.id)
+        canvas = Canvas(user_canvas.dsl, current_user.id)
         canvas.reset()
         req["dsl"] = json.loads(str(canvas))
         UserCanvasService.update_by_id(req["canvas_id"], dsl=req["dsl"])

graph/test/dsl_examples/customer_service.json

@@ -1,7 +1,7 @@
 {
   "components": {
             "begin": {
-      "obj": {
+                "obj":{
                     "component_name": "Begin",
                     "params": {
                       "prologue": "Hi! How can I help you?"
@@ -16,14 +16,7 @@
                     "params": {}
                 },
                 "downstream": ["categorize:0"],
-      "upstream": [
-        "begin",
-        "generate:casual",
-        "generate:answer",
-        "generate:complain",
-        "generate:ask_contact",
-        "message:get_contact"
-      ]
+                "upstream": ["begin", "generate:0", "generate:casual", "generate:answer", "generate:complain", "generate:ask_contact", "message:get_contact"]
             },
             "categorize:0": {
                 "obj": {
@@ -55,12 +48,7 @@
                       "message_history_window_size": 8
                     }
                 },
-      "downstream": [
-        "retrieval:0",
-        "generate:casual",
-        "generate:complain",
-        "message:get_contact"
-      ],
+                "downstream": ["retrieval:0", "generate:casual", "generate:complain", "message:get_contact"],
                 "upstream": ["answer:0"]
             },
             "generate:casual": {
@@ -146,7 +134,7 @@
                 "upstream": ["relevant:0"]
             },
             "message:get_contact": {
-      "obj": {
+                "obj":{
                     "component_name": "Message",
                     "params": {
                       "messages": [
@@ -164,6 +152,6 @@
   "history": [],
   "messages": [],
   "path": [],
-  "reference": {},
+  "reference": [],
   "answer": []
 }

graph/test/dsl_examples/headhunter_zh.json

@@ -205,6 +205,6 @@
   "history": [],
   "messages": [],
   "path": [],
-  "reference": {},
+  "reference": [],
   "answer": []
 }

graph/test/dsl_examples/intergreper.json

@@ -0,0 +1,39 @@
+{
+  "components": {
+            "begin": {
+                "obj":{
+                    "component_name": "Begin",
+                    "params": {
+                      "prologue": "Hi there! Please enter the text you want to translate in format like: 'text you want to translate' => target language. For an example: 您好！ => English"
+                    }
+                },
+                "downstream": ["answer:0"],
+                "upstream": []
+            },
+            "answer:0": {
+                "obj": {
+                    "component_name": "Answer",
+                    "params": {}
+                },
+                "downstream": ["generate:0"],
+                "upstream": ["begin", "generate:0"]
+            },
+            "generate:0": {
+                "obj": {
+                    "component_name": "Generate",
+                    "params": {
+                      "llm_id": "deepseek-chat",
+                      "prompt": "You are an professional interpreter.\n- Role: an professional interpreter.\n- Input format: content need to be translated => target language. \n- Answer format: => translated content in target language. \n- Examples:\n  - user: 您好！ => English. assistant: => How are you doing!\n  - user: You look good today. => Japanese. assistant: => 今日は調子がいいですね 。\n",
+                      "temperature": 0.5
+                    }
+                },
+                "downstream": ["answer:0"],
+                "upstream": ["answer:0"]
+            }
+  },
+  "history": [],
+  "messages": [],
+  "reference": {},
+  "path": [],
+  "answer": []
+}

rag/llm/cv_model.py

@@ -108,6 +108,7 @@ class AzureGptV4(Base):
         )
         return res.choices[0].message.content.strip(), res.usage.total_tokens
 
+
 class QWenCV(Base):
     def __init__(self, key, model_name="qwen-vl-chat-v1", lang="Chinese", **kwargs):
         import dashscope