1. 我給你兩篇文章，請進行比較跟批改，並給出建議，如果文章完全一樣，請給出回饋：「這兩篇文章內容完全一樣，無法進行評分。」，後續評分給予 level X，仍要輸出 JSON

app.py

@@ -948,13 +948,39 @@ def generate_chinese_paragraph_practice_history(
         GCS_SERVICE.upload_json_string("jutor_logs", file_name, json.dumps(content))
 
     if assignment_id_input:
-        # GCS "ai_assignment_submission", "assignments.json") 底下有一個 submission_ids 的 list，將 file_name 加入 list
-        assignments_file_name = "assignments.json"
-        assignments_content = GCS_SERVICE.download_as_string("ai_assignment_submission", assignments_file_name)
-        assignments_json = json.loads(assignments_content)
-        assignments_json[assignment_id_input]["submission_ids"].append(file_name)
-        GCS_SERVICE.upload_json_string("ai_assignment_submission", assignments_file_name, json.dumps(assignments_json))
+        assignment_file_name = f"assignments/{assignment_id_input}.json"
+    try:
+        submission_id = generate_unique_submission_id()        
+        submission_data = {
+            "submission_id": submission_id,
+            "assignment_id": assignment_id_input,
+            "student_id": user_data,
+            "student_name": "",
+            "submission_data": {
+                "file_name": file_name,
+                "bucket_name": "jutor_logs",
+                "content": content
+            },
+            "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        }
+        assignment_content = GCS_SERVICE.download_as_string("ai_assignment_submission", assignment_file_name)
+        assignment_data = json.loads(assignment_content)
+        
+        # 添加新的 submission_id 到 assignment 数据中
+        if "submission_ids" not in assignment_data:
+            assignment_data["submission_ids"] = []
+        assignment_data["submission_ids"].append(submission_id)
+        
+        # 更新 assignment 文件
+        GCS_SERVICE.upload_json_string("ai_assignment_submission", assignment_file_name, json.dumps(assignment_data))
         
+        # 上传新的 submission 数据
+        GCS_SERVICE.upload_json_string("ai_assignment_submission", f"{submission_id}.json", json.dumps(submission_data))
+        
+        print(f"Updated assignment {assignment_id_input} with new submission: {submission_id}")
+    except Exception as e:
+        print(f"Error updating assignment {assignment_id_input}: {str(e)}")
+
     return chinese_full_paragraph_input, \
             chinese_full_paragraph_evaluate_output_text, \
             chinese_full_paragraph_evaluate_output_table, \
@@ -963,13 +989,28 @@ def generate_chinese_paragraph_practice_history(
             chinese_full_paragraph_refine_output_table, \
             chinese_full_paragraph_save_output
 
-def get_assignment_content(assignment_id):
-    assignments_file_name = "assignments.json"
-    assignments_content = GCS_SERVICE.download_as_string("ai_assignment_submission", assignments_file_name)
-    assignments_json = json.loads(assignments_content)
-    assignment_json = assignments_json[assignment_id]
+def generate_unique_submission_id():
+    while True:
+        submission_id = str(uuid.uuid4())
+        if not GCS_SERVICE.check_file_exists("ai_assignment_submission", f"{submission_id}.json"):
+            return submission_id
 
-    return assignment_json
+def update_assignment_submission(assignment_id, submission_id):
+    assignment_data = get_assignment_content(assignment_id)
+    if assignment_data:
+        assignment_data["submission_ids"].append(submission_id)
+        GCS_SERVICE.upload_json_string("ai_assignment_submission", f"assignments/{assignment_id}.json", json.dumps(assignment_data))
+
+def get_assignment_content(assignment_id):
+    try:
+        Bucket_Name = "ai_assignment_submission"
+        file_name = f"assignments/{assignment_id}.json"
+        assignment_json = GCS_SERVICE.download_as_string(Bucket_Name, file_name)
+        assignment_data = json.loads(assignment_json)
+    except Exception as e:
+        print(f"Error: {e}")
+        return None
+    return assignment_data
 
 def get_chinese_paragraph_practice_log_session_content(file_name):
     if file_name:
@@ -1306,27 +1347,32 @@ def init_params(request: gr.Request):
         assignment_json_value = None
         if "assignment" in query_params:
             assignment_id_value = query_params["assignment"]
-            assignments_json_text = GCS_SERVICE.download_as_string("ai_assignment_submission", "assignments.json")
-            assignments_json = json.loads(assignments_json_text)
-            assignment_json_value = assignments_json.get(assignment_id_value, None)
-
-        if assignment_json_value != None and assignment_json_value["assignment_type"] == "中文寫作 AI 批改":
-            chinese_assignment_row = gr.update(visible=True)
-            chinese_assignment_grade = gr.update(value=assignment_json_value["metadata"]["grade"])
-            chinese_assignment_topic = gr.update(value=assignment_json_value["metadata"]["topic"])
-            chinese_assignment_introduction = gr.update(value=assignment_json_value["metadata"]["introduction"])
-            chinese_assignment_description = gr.update(value=assignment_json_value["metadata"]["description"])
+            assignment_json_value = get_assignment_content(assignment_id_value)
+
+            if assignment_json_value and assignment_json_value.get("assignment_type") == "中文寫作 AI 批改":
+                chinese_assignment_row = gr.update(visible=True)
+                chinese_assignment_grade = gr.update(value=assignment_json_value.get("metadata", {}).get("grade", ""))
+                chinese_assignment_topic = gr.update(value=assignment_json_value.get("metadata", {}).get("topic", ""))
+                chinese_assignment_introduction = gr.update(value=assignment_json_value.get("metadata", {}).get("introduction", ""))
+                chinese_assignment_description = gr.update(value=assignment_json_value.get("metadata", {}).get("description", ""))
+            else:
+                chinese_assignment_row = gr.update(visible=False)
+                chinese_assignment_grade = gr.update(value="")
+                chinese_assignment_topic = gr.update(value="")
+                chinese_assignment_introduction = gr.update(value="")
+                chinese_assignment_description = gr.update(value="")
+
+            assignment_id_input = gr.update(value=assignment_id_value)
+            assignment_json = gr.update(value=assignment_json_value)
         else:
+            # 處理沒有 assignment 參數的情況
             chinese_assignment_row = gr.update(visible=False)
             chinese_assignment_grade = gr.update(value="")
             chinese_assignment_topic = gr.update(value="")
             chinese_assignment_introduction = gr.update(value="")
             chinese_assignment_description = gr.update(value="")
-
-
-        assignment_id_input = gr.update(value=assignment_id_value)
-        assignment_json = gr.update(value=assignment_json_value)
-
+            assignment_id_input = gr.update(value=None)
+            assignment_json = gr.update(value=None)
         
     return admin_group, session_timestamp, request_origin, \
             assignment_id_input, assignment_json, \
@@ -2994,7 +3040,7 @@ with gr.Blocks(theme=THEME, css=CSS) as demo:
                     default_user_generate_chinese_full_paragraph_refine_evaluate_prompt =  """
                         # 請嚴格根據 instructions
                         # Rules: 
-                        1. 我給你兩篇文章，請進行比較跟批改，並給出建議，如果文章完全一樣，請給出回饋：「這兩篇文章內容完全一樣，無法進行評分。」，後續不用進行評分。給予 level X
+                        1. 我給你兩篇文章，請進行比較跟批改，並給出建議，如果文章完全一樣，請給出回饋：「這兩篇文章內容完全一樣，無法進行評分。」，後續評分給予 level X，仍要輸出 JSON
                         2. 先檢查是否是合理的作文或是段落，再進行評分
                         2. 請確保作文或段落的內容完整，並且符合中文語法
                         3. 如果是一篇亂打的文章請直接給予回饋：「這篇文章內容不完整，無法進行評分。」