add community-use-cae:excel_analyzer

community_usecase/excel_analyzer/README.md

@@ -6,6 +6,12 @@ This project uses **Owl** for data analysis and visualization.
 - Provides both English and Chinese versions of the raw data and prompts
 - Utilizes **CodeExecutionToolkit**, **ExcelToolkit**, and **FileWriteToolkit** to complete related tasks  
 - Implements **ExcelRolePlaying** based on **OwlRolePlaying**, which overrides the `system_prompt` with a cleaner, more focused version tailored for data analysis scenarios  
+- 
+- The analysis and visualization of this Excel file involve:
+    - Complex headers (merged rows)
+    - Nan value handling
+    - Complex group calculations
+    - Visualization
 
 ## How to Use  
 1. Set up the environment according to Owl's official instructions
@@ -13,13 +19,12 @@ This project uses **Owl** for data analysis and visualization.
     ```bash
     cd community_usecase/excel_analyzer
 
-    # Chinese version
-    python data_insights_deepseek_zh.py
+    # Chinese version, using deepseek-v3
+    python excel_analyzer_zh.py
 
-    # English version
-    python data_insights_gpt4o_zh.py
+    # English version, using gpt-4o
+    python excel_analyzer_zh.py
     ```
 3. The analysis results will be saved in the current directory
 
-## Demo Video
 

community_usecase/excel_analyzer/README_zh.md

@@ -3,11 +3,15 @@
 
 
 ## Features
-
 - 提供了英文，中文两个版本的原始数据和prompt，方便理解
 - 使用**CodeExecutionToolkit**，**ExcelToolkit**，**FileWriteToolkit**来完成相关工作
 - 在**OwlRolePlaying**基础之上实现了**ExcelRolePalying**，它重写了system_prompt，更简洁，聚焦在数据分析场景
-
+- 经过测试，在`gpt-4o`和`deepseek-v3`下均可以达到预期效果
+- 对该excel进行分析和可视化时涉及到的内容有：
+    - 复杂表头（合并行）
+    - 缺失值处理
+    - 复杂的分组计算
+    - 可视化
 
 ## How to use 
 1. 按照owl的官方流程搭建好环境
@@ -15,16 +19,12 @@
     ```
     cd community_usecase/excel_analyzer
 
-    # Chinese version
+    # Chinese version, using deepseek-v3
     python excel_analyzer_zh.py
 
-    # English version
+    # English version, using gpt-4o
     python excel_analyzer_zh.py
     ```
 3. 数据集分析的结果将会在出存在当前目录下
 
 
-## Demo
-视频结果：[link]
-
-

community_usecase/excel_analyzer/data_analyzer_en.py

@@ -195,12 +195,6 @@ def construct_society(question: str) -> ExcelRolePalying:
         OwlRolePlaying: A configured society of agents ready to address the question.
     """
 
-    # base_model_config = {
-    #     "model_platform": ModelPlatformType.DEEPSEEK,
-    #     "model_type": 'deepseek-chat',
-    #     "model_config_dict": ChatGPTConfig(temperature=0.1, max_tokens=8192).as_dict(),
-    # }
-
     # Create models for different components using Azure OpenAI
     base_model_config = {
         "model_platform": ModelPlatformType.AZURE,
@@ -245,12 +239,12 @@ def construct_society(question: str) -> ExcelRolePalying:
 
 
 def main():
-    r"""Main function to run the OWL system with Azure OpenAI."""
     # Example question
 
-
-    default_task = "Please help analyze the number of admitted students, as well as the highest and lowest scores for each college in this file. Visualize this information in a single chart and save it in the current directory. The file path is `./data/admission_en.xlsx.`"
-
+    default_task = """Please help analyze the file `./data/admission_en.xlsx` by:
+            - Calculating the number of admitted students, as well as the highest and lowest scores for each college
+            - Plotting this information in a single chart: use a bar chart for the number of admitted students, and line charts for the highest and lowest scores
+            - Saving the generated chart as `vis_en.png` in the current directory"""
 
     set_log_file('log.txt')
 

community_usecase/excel_analyzer/data_analyzer_zh.py

@@ -134,11 +134,10 @@ import pandas as pd
 - 始终验证你的最终答案是否正确！  
 - 请每次都从头开始编写完整代码，编写代码后，务必运行代码并获取结果！  
   如果遇到错误，尝试调试代码。  
-  请注意，代码执行环境不支持交互式输入。  
 - 如果工具运行失败，或者代码无法正确运行，  
   绝对不要假设其返回了正确结果，并在此基础上继续推理！  
   正确的做法是分析错误原因，并尝试修正！  
-- 如果你写的代码涉及到用matplotlib画图，请始终在代码开头下面这段代码：
+- [重要！！！]如果你写的代码涉及到用matplotlib画图，请始终在代码开头下面这段代码：
 ```
 import matplotlib
 matplotlib.rcParams['font.sans-serif'] = ['SimHei']  # 支持中文
@@ -232,18 +231,18 @@ def construct_society(question: str) -> ExcelRolePalying:
         OwlRolePlaying: A configured society of agents ready to address the question.
     """
 
-    # base_model_config = {
-    #     "model_platform": ModelPlatformType.DEEPSEEK,
-    #     "model_type": 'deepseek-chat',
-    #     "model_config_dict": ChatGPTConfig(temperature=0.1, max_tokens=8192).as_dict(),
-    # }
+    base_model_config = {
+        "model_platform": ModelPlatformType.DEEPSEEK,
+        "model_type": 'deepseek-chat',
+        "model_config_dict": ChatGPTConfig(temperature=0.1, max_tokens=8192).as_dict(),
+    }
 
     # Create models for different components using Azure OpenAI
-    base_model_config = {
-        "model_platform": ModelPlatformType.AZURE,
-        "model_type": os.getenv("AZURE_OPENAI_MODEL_TYPE"),
-        "model_config_dict": ChatGPTConfig(temperature=0.4, max_tokens=4096).as_dict(),
-    }
+    # base_model_config = {
+    #     "model_platform": ModelPlatformType.AZURE,
+    #     "model_type": os.getenv("AZURE_OPENAI_MODEL_TYPE"),
+    #     "model_config_dict": ChatGPTConfig(temperature=0.4, max_tokens=4096).as_dict(),
+    # }
 
 
     models = {
@@ -284,7 +283,13 @@ def construct_society(question: str) -> ExcelRolePalying:
 def main():
     r"""Main function to run the OWL system with Azure OpenAI."""
     # Example question
-    default_task = "帮忙分析一下这个文件中各个学院的录取人数以及最高分最低分，把这些信息画到一张图上，并存到当前目录下。文件路径是`./data/admission_zh.xlsx`"
+    # default_task = """帮忙分析一下这个文件中各个学院的录取人数以及最高分最低分，把这些信息画到一张图上，并存到当前路径下。文件路径是`./data/admission_zh.xlsx`"""
+
+    default_task = """帮忙分析一下`./data/admission_zh.xlsx`这个文件，请你：
+    - 统计各个学院的录取人数以及最高分最低分
+    - 把这些信息画到一张图上，录取人数使用柱状图，最高分最低分使用折线图
+    - 把画完的图`vis_zh.png`存到当前目录下"""
+
 
     set_log_file('log.txt')