Update app.py

app.py

@@ -36,32 +36,40 @@ def read_docx(file):
     return "\n".join([para.text for para in doc.paragraphs])
 
 def generate_monthly_report(weekly_reports_files, last_month_report_file, llm_gpt4o):
-    """Generates a monthly report based on weekly reports and the last month's report."""
+    """根據本月份週報與上個月月報產生本月月報。"""
     weekly_reports = [read_docx(file) for file in weekly_reports_files]
     last_month_report = read_docx(last_month_report_file) if last_month_report_file else ""
 
-    prompt = f"""請根據以下資訊生成本月月報：
-    上個月月報：
+    # 構建 prompt
+    prompt = f"""
+    上個月月報內容如下：
     {last_month_report}
-    本月各週報：
+    
+    ---
+    本月份週報內容如下：
     """
-    for report in weekly_reports:
-        prompt += f"{report}\n---\n"
+    for i, report in enumerate(weekly_reports, 1):
+        prompt += f"【第 {i} 週週報】\n{report}\n---\n"
 
     prompt += """
-    I will provide the weekly reports for the current month and the monthly report from the previous month. Based on these documents, please:
+    請依據上方提供的「上個月月報」與「本月份週報」進行以下任務：
     
-    1. Describe the overall progress and updates of each project for the current month, organized chronologically like a narrative.
-    2. Summarize the completed work for each project in the same format as the previous month’s report.
-    3. Write the work plan for next month for each project, following the "next month plan" format used in the previous monthly report.
-    4. At the end of the report, compile a separate summary list that clearly states the action items for next month for each project.
+    1. 依照週報的時間順序，整理各專案在本月份的整體進度與內容（像故事一樣描述本月發生的事情）。
+    2. 依照「上個月月報」的格式，針對每個專案整理本月份已完成的工作內容。
+    3. 針對每個專案寫出下個月的預計工作計畫，格式與內容參考「上個月月報」的「下月預計工作」。
+    4. 在報告最後，再統整列出一次每個專案下個月的工作項目（像行動項目）。
     
-    ⚠️ Please write the entire response in **Traditional Chinese**, using a formal and professional tone, and strictly follow the format of the previous month’s monthly report.
+    ⚠️請用**繁體中文**撰寫，語氣正式、專業。
+    ⚠️請完全依照「上個月月報」的段落、標題、格式風格來呈現，包含每個專案的順序與排版方式。
     
-    The source materials are the "current month weekly reports" and the "previous month monthly report" that I provided.
+    資料來源：上方的「上個月月報」與「本月份週報」。
     """
+    
     try:
-        response = llm_gpt4o.invoke([("system", "You are a professional assistant."), ("human", prompt)])
+        response = llm_gpt4o.invoke([
+            ("system", "你是一位專業的助理，負責撰寫正式的工作月報。"),
+            ("human", prompt)
+        ])
         return response.content
     except Exception as e:
         raise ValueError(f"生成月報時發生錯誤：{str(e)}")