add get_poignancy_chat

examples/st_game/prompts/poignancy_action_v1.txt

@@ -0,0 +1,15 @@
+poignancy_event_v1.txt
+
+!<INPUT 1>!: agent name
+!<INPUT 1>!: iss
+!<INPUT 2>!: name 
+!<INPUT 3>!: event description
+
+<commentblockmarker>###</commentblockmarker>
+Here is a brief description of !<INPUT 0>!. 
+!<INPUT 1>!
+
+On the scale of 1 to 10, where 1 is purely mundane (e.g., brushing teeth, making bed) and 10 is extremely poignant (e.g., a break up, college acceptance), rate the likely poignancy of the following event for !<INPUT 2>!.
+
+Event: !<INPUT 3>!
+Rate (return a number between 1 to 10):

examples/st_game/prompts/poignancy_thought_v1.txt

@@ -0,0 +1,15 @@
+poignancy_thought_v1.txt
+
+!<INPUT 1>!: agent name
+!<INPUT 1>!: iss
+!<INPUT 2>!: name 
+!<INPUT 3>!: event description
+
+<commentblockmarker>###</commentblockmarker>
+Here is a brief description of !<INPUT 0>!. 
+!<INPUT 1>!
+
+On the scale of 1 to 10, where 1 is purely mundane (e.g., I need to do the dishes, I need to walk the dog) and 10 is extremely significant (e.g., I wish to become a professor, I love Elie), rate the likely significance of the following thought for !<INPUT 2>!.
+
+Thought: !<INPUT 3>!
+Rate (return a number between 1 to 10):

examples/st_game/prompts/run_gpt_prompts.py

@@ -19,6 +19,30 @@ def get_poignancy_action(scratch: Scratch, content: BasicMemory.content) -> str:
                         content]
         return prompt_input
 
+    # 1. Prompt构建
+    # 2. Instruction给出
+    prompt_template = "poignancy_action_v1.txt"  # 保留原来的注释
+    prompt_input = create_prompt_input(scratch, content)  # 保留原来的注释
+    prompt = prompt_generate(prompt_input, prompt_template)
+    special_instruction = "The output should ONLY contain ONE integer value on the scale of 1 to 10."
+    poignancy = special_response_generate(prompt, special_instruction)
+    try:
+        poi_dict = json.loads(poignancy)
+        return str(poi_dict['poignancy'])  # 将返回值强制转换为字符串
+    except json.JSONDecodeError as e:
+        return poignancy
+    
+def get_poignancy_chat(scratch: Scratch, content: BasicMemory.content) -> str:
+    """
+    衡量会话心酸度
+    """
+    def create_prompt_input(scratch, content):
+        prompt_input = [scratch.name,
+                        scratch.iss,
+                        scratch.name,
+                        content]
+        return prompt_input
+
     # 1. Prompt构建
     # 2. Instruction给出
     prompt_template = "poignancy_chat_v1.txt"  # 保留原来的注释