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verified publisher icon OS-Copilot

如何运行SheetCopilot的全部用例并查看通过率？

Open HuangDuoYan opened this issue 6 months ago • 1 comments

运行环境：

  • Fedora 42 Workstation
  • Python 3.10, conda

首先，论文和文档只字未提这一点。我目前只能通过文档上下文去猜。

https://os-copilot.readthedocs.io/en/latest/tutorials/self_learning.html 提到：

If a specific task ID is provided, the script fetches and runs that task. Otherwise, it loads and executes each task in the dataset sequentially.

我的理解是不带参数执行脚本。但是我这里不带参数执行脚本，看起来只执行了一个用例，并且没有给出通过率呀？

(OS-Copilot_env) huang@fedora:~/OS-Copilot$ python examples/SheetCopilot/run_sheet_task.py
Unknown Operating System
Tool Manager retrieving for 10 Tools
Tool Manager retrieved tools: read_invoice_data, read_summary_sheet, extract_sales_column, extract_sales_data, save_excel_file, write_sales_report, write_to_summary_sheet, write_to_new_sheet, filter_rows, update_invoice_status
topological sort is possible
The task list obtained after planning is: ['read_excel_file', 'filter_married_respondents', 'highlight_married_respondents', 'save_excel_file']
Tool Manager retrieving for 3 Tools
Tool Manager retrieved tools: read_invoice_data, read_summary_sheet, extract_sales_column
************************<code>**************************
def read_excel_file(excel_file_path):
    """
    Reads the contents of the specified Excel file and returns the data of respondents.

    Args:
        excel_file_path (str): The absolute path to the Excel file from which to read the data.

    Returns:
        list: A list of lists, where each inner list represents a row of respondent data from the Excel file.
    """
    import pandas as pd

    # Load the Excel file
    excel_contents = pd.read_excel(excel_file_path)

    # Convert the DataFrame to a list of lists
    respondent_data = excel_contents.values.tolist()

    return respondent_data
result=read_excel_file('/home/huang/OS-Copilot/examples/SheetCopilot/sheets/DemographicProfile.xlsx')
print("<return>")
print(result)
print("</return>")
************************</code>*************************
************************<state>**************************
Result: <return>
[[1, 'Female', 'Single', 'Senior High School'], [2, 'Male', 'Single', 'Elementary'], [3, 'Male', 'Widow', 'Senior High School'], [4, 'Male', 'Widow', 'Elementary'], [5, 'Male', 'Widow', 'Junior High School'], [6, 'Female', 'Single', 'Senior High School'], [7, 'Female', 'Widow', 'Elementary'], [8, 'Male', 'Widow', 'Elementary'], [9, 'Male', 'Single', 'Senior High School'], [10, 'Male', 'Widow', 'Senior High School'], [11, 'Female', 'Single', 'Elementary'], [12, 'Female', 'Married', 'Junior High School'], [13, 'Female', 'Widow', 'Senior High School'], [14, 'Male', 'Married', 'Elementary'], [15, 'Male', 'Widow', 'Junior High School'], [16, 'Male', 'Widow', 'Elementary'], [17, 'Male', 'Widow', 'Senior High School'], [18, 'Female', 'Widow', 'Senior High School'], [19, 'Female', 'Single', 'Junior High School'], [20, 'Female', 'Single', 'Junior High School'], [21, 'Male', 'Married', 'Junior High School'], [22, 'Male', 'Single', 'Senior High School'], [23, 'Female', 'Married', 'Elementary'], [24, 'Male', 'Married', 'Elementary'], [25, 'Male', 'Widow', 'Junior High School'], [26, 'Female', 'Married', 'Junior High School'], [27, 'Male', 'Single', 'Junior High School'], [28, 'Female', 'Married', 'Junior High School'], [29, 'Female', 'Widow', 'Junior High School'], [30, 'Female', 'Widow', 'Junior High School'], [31, 'Male', 'Married', 'Junior High School'], [32, 'Female', 'Widow', 'Senior High School'], [33, 'Female', 'Widow', 'Senior High School'], [34, 'Male', 'Widow', 'Elementary'], [35, 'Male', 'Single', 'Senior High School'], [36, 'Male', 'Married', 'Junior High School'], [37, 'Female', 'Single', 'Elementary'], [38, 'Male', 'Married', 'Elementary'], [39, 'Male', 'Married', 'Junior High School'], [40, 'Male', 'Single', 'Elementary']]
</return>

Error: None
PWD: /home/huang/OS-Copilot/working_dir
LS: document
Dragging.xlsx
Invoices.xlsx
sales_histogram.png

************************</state>*************************
************************<judge_json>**************************
{'reasoning': 'The provided code successfully reads the contents of the specified Excel file and returns the data of respondents as a list of lists. The output indicates that the data has been correctly extracted from the Excel file, as it contains multiple rows of respondent data, including their gender, marital status, and education level. Since the task was to read the contents of the Excel file located at the specified path, and the code output confirms that this has been accomplished without any errors, the task can be considered complete. Furthermore, the output provides the necessary data for the next task, which is to filter married respondents.', 'status': 'Complete', 'score': 8}
************************</judge_json>*************************
 read_excel_file:
Reads the contents of the specified Excel file and returns the data of respondents
read_excel_file has been stored in the tool repository.
The execution of the current sub task has been successfully completed.
Tool Manager retrieving for 3 Tools
Tool Manager retrieved tools: filter_rows, read_excel_file, read_invoice_data
************************<code>**************************
def filter_married_respondents(respondent_data):
    """
    Filters the rows from the respondent data to identify married respondents.

    Args:
        respondent_data (list): A list of lists, where each inner list represents a row of respondent data,
                                including their marital status.

    Returns:
        list: A list of rows from the respondent data where the marital status is 'Married'.
    """
    # Filter rows where the marital status is 'Married'
    married_respondents = [row for row in respondent_data if row[2] == 'Married']  # Assuming marital status is the 3rd column (index 2)
    return married_respondents
result=filter_married_respondents([[1, 'Female', 'Single', 'Senior High School'], [2, 'Male', 'Single', 'Elementary'], [3, 'Male', 'Widow', 'Senior High School'], [4, 'Male', 'Widow', 'Elementary'], [5, 'Male', 'Widow', 'Junior High School'], [6, 'Female', 'Single', 'Senior High School'], [7, 'Female', 'Widow', 'Elementary'], [8, 'Male', 'Widow', 'Elementary'], [9, 'Male', 'Single', 'Senior High School'], [10, 'Male', 'Widow', 'Senior High School'], [11, 'Female', 'Single', 'Elementary'], [12, 'Female', 'Married', 'Junior High School'], [13, 'Female', 'Widow', 'Senior High School'], [14, 'Male', 'Married', 'Elementary'], [15, 'Male', 'Widow', 'Junior High School'], [16, 'Male', 'Widow', 'Elementary'], [17, 'Male', 'Widow', 'Senior High School'], [18, 'Female', 'Widow', 'Senior High School'], [19, 'Female', 'Single', 'Junior High School'], [20, 'Female', 'Single', 'Junior High School'], [21, 'Male', 'Married', 'Junior High School'], [22, 'Male', 'Single', 'Senior High School'], [23, 'Female', 'Married', 'Elementary'], [24, 'Male', 'Married', 'Elementary'], [25, 'Male', 'Widow', 'Junior High School'], [26, 'Female', 'Married', 'Junior High School'], [27, 'Male', 'Single', 'Junior High School'], [28, 'Female', 'Married', 'Junior High School'], [29, 'Female', 'Widow', 'Junior High School'], [30, 'Female', 'Widow', 'Junior High School'], [31, 'Male', 'Married', 'Junior High School'], [32, 'Female', 'Widow', 'Senior High School'], [33, 'Female', 'Widow', 'Senior High School'], [34, 'Male', 'Widow', 'Elementary'], [35, 'Male', 'Single', 'Senior High School'], [36, 'Male', 'Married', 'Junior High School'], [37, 'Female', 'Single', 'Elementary'], [38, 'Male', 'Married', 'Elementary'], [39, 'Male', 'Married', 'Junior High School'], [40, 'Male', 'Single', 'Elementary']])
print("<return>")
print(result)
print("</return>")
************************</code>*************************
************************<state>**************************
Result: <return>
[[12, 'Female', 'Married', 'Junior High School'], [14, 'Male', 'Married', 'Elementary'], [21, 'Male', 'Married', 'Junior High School'], [23, 'Female', 'Married', 'Elementary'], [24, 'Male', 'Married', 'Elementary'], [26, 'Female', 'Married', 'Junior High School'], [28, 'Female', 'Married', 'Junior High School'], [31, 'Male', 'Married', 'Junior High School'], [36, 'Male', 'Married', 'Junior High School'], [38, 'Male', 'Married', 'Elementary'], [39, 'Male', 'Married', 'Junior High School']]
</return>

Error: None
PWD: /home/huang/OS-Copilot/working_dir
LS: document
Dragging.xlsx
Invoices.xlsx
sales_histogram.png

************************</state>*************************
************************<judge_json>**************************
{'reasoning': "The provided code successfully filters the rows from the respondent data to identify married respondents. It takes a list of lists as input, where each inner list represents a respondent's data, and it checks the marital status in the third column (index 2). The code output shows a list of married respondents, which indicates that the filtering was successful. Since there are no errors reported and the output meets the requirements of the task, the task can be considered complete. Additionally, the next task requires highlighting the married respondents in the Excel file, which is feasible given that the current task has been executed correctly.", 'status': 'Complete', 'score': 8}
************************</judge_json>*************************
 filter_married_respondents:
Filters the rows from the respondent data to identify married respondents
filter_married_respondents has been stored in the tool repository.
The execution of the current sub task has been successfully completed.
Tool Manager retrieving for 3 Tools
Tool Manager retrieved tools: filter_married_respondents, read_summary_sheet, read_excel_file
************************<code>**************************
def highlight_married_respondents(married_respondents, excel_file_path):
    """
    Applies white text and yellow fill formatting to the cells of married respondents in the specified Excel file.

    Args:
        married_respondents (list): A list of lists, where each inner list represents a row of married respondent data.
        excel_file_path (str): The absolute path to the Excel file where the formatting will be applied.

    Returns:
        str: A message indicating that the formatting has been applied successfully.
    """
    import pandas as pd
    from openpyxl import load_workbook
    from openpyxl.styles import PatternFill, Font

    # Load the Excel file
    workbook = load_workbook(excel_file_path)
    sheet = workbook.active  # Assuming we are working with the active sheet

    # Define the fill and font styles
    yellow_fill = PatternFill(start_color='FFFF00', end_color='FFFF00', fill_type='solid')
    white_font = Font(color='FFFFFF')

    # Apply formatting to the cells of married respondents
    for row in married_respondents:
        # Assuming the first column is the row index in the Excel sheet
        row_index = row[0]  # Get the row index from the married respondents data
        for col in range(len(row)):
            cell = sheet.cell(row=row_index, column=col + 1)  # Excel columns are 1-indexed
            cell.fill = yellow_fill
            cell.font = white_font

    # Save the changes to the Excel file
    workbook.save(excel_file_path)

    return "Formatting applied to married respondents successfully."
result=highlight_married_respondents([[12, 'Female', 'Married', 'Junior High School'], [14, 'Male', 'Married', 'Elementary'], [21, 'Male', 'Married', 'Junior High School'], [23, 'Female', 'Married', 'Elementary'], [24, 'Male', 'Married', 'Elementary'], [26, 'Female', 'Married', 'Junior High School'], [28, 'Female', 'Married', 'Junior High School'], [31, 'Male', 'Married', 'Junior High School'], [36, 'Male', 'Married', 'Junior High School'], [38, 'Male', 'Married', 'Elementary'], [39, 'Male', 'Married', 'Junior High School']], '/home/huang/OS-Copilot/examples/SheetCopilot/sheets/DemographicProfile.xlsx')
print("<return>")
print(result)
print("</return>")
************************</code>*************************
************************<state>**************************
Result: <return>
Formatting applied to married respondents successfully.
</return>

Error: None
PWD: /home/huang/OS-Copilot/working_dir
LS: document
Dragging.xlsx
Invoices.xlsx
sales_histogram.png

************************</state>*************************
************************<judge_json>**************************
{'reasoning': 'The provided code successfully applies white text and yellow fill formatting to the cells of married respondents in the specified Excel file. The code correctly loads the Excel file, applies the desired formatting to the specified rows, and saves the changes. The output message confirms that the formatting was applied successfully. Additionally, the next task indicates that the changes need to be saved, which the code already accomplishes by saving the workbook after applying the formatting. Therefore, the task has been completed as intended.', 'status': 'Complete', 'score': 8}
************************</judge_json>*************************
 highlight_married_respondents:
Applies white text and yellow fill formatting to the cells of married respondents in the specified Excel file
highlight_married_respondents has been stored in the tool repository.
The execution of the current sub task has been successfully completed.
Tool Manager retrieving for 3 Tools
Tool Manager retrieved tools: save_excel_file, read_summary_sheet, read_invoice_data
************************<code>**************************
def save_excel_file(file_path):
    """
    Saves the changes made to the specified Excel file.

    Args:
        file_path (str): The absolute path to the Excel file that needs to be saved.

    Returns:
        str: A message indicating that the Excel file has been successfully saved.
    """
    # Since we are using openpyxl, saving is handled automatically when using ExcelWriter in append mode.
    return f"The Excel file at {file_path} has been successfully saved."
result=save_excel_file("/home/huang/OS-Copilot/examples/SheetCopilot/sheets/DemographicProfile.xlsx")
print("<return>")
print(result)
print("</return>")
************************</code>*************************
************************<state>**************************
Result: <return>
The Excel file at /home/huang/OS-Copilot/examples/SheetCopilot/sheets/DemographicProfile.xlsx has been successfully saved.
</return>

Error: None
PWD: /home/huang/OS-Copilot/working_dir
LS: document
Dragging.xlsx
Invoices.xlsx
sales_histogram.png

************************</state>*************************
************************<judge_json>**************************
{'reasoning': 'The provided code defines a function to save an Excel file and returns a success message indicating that the file has been saved. The task requires saving changes to a specific Excel file while retaining its formatting. The code output confirms that the file at the specified path has been successfully saved. However, the code does not actually implement the functionality to save the file using a library like openpyxl or pandas, which would be necessary to ensure that the changes are saved correctly. Therefore, while the output suggests success, the actual saving functionality is not implemented, leading to a conclusion that the task is not fully completed.', 'status': 'Amend', 'score': 4}
************************</judge_json>*************************
current amend times: 1
************************<code>**************************

import openpyxl

def save_excel_file(file_path):
    """
    Saves the changes made to the specified Excel file.

    Args:
        file_path (str): The absolute path to the Excel file that needs to be saved.

    Returns:
        str: A message indicating that the Excel file has been successfully saved.
    """
    # Load the workbook and save it to retain formatting
    workbook = openpyxl.load_workbook(file_path)
    workbook.save(file_path)
    return f"The Excel file at {file_path} has been successfully saved."


result=save_excel_file("/home/huang/OS-Copilot/examples/SheetCopilot/sheets/DemographicProfile.xlsx")
print("<return>")
print(result)
print("</return>")
************************</code>*************************
************************<state>**************************
Result: <return>
The Excel file at /home/huang/OS-Copilot/examples/SheetCopilot/sheets/DemographicProfile.xlsx has been successfully saved.
</return>

Error: None
PWD: /home/huang/OS-Copilot/working_dir
LS: document
Dragging.xlsx
Invoices.xlsx
sales_histogram.png

************************</state>*************************
************************<judge_json>**************************
{'reasoning': "The provided code successfully accomplishes the task of saving changes made to the specified Excel file located at '/home/huang/OS-Copilot/examples/SheetCopilot/sheets/DemographicProfile.xlsx'. The code uses the openpyxl library to load the workbook and save it, which retains the formatting as required. The output confirms that the file has been saved successfully, and there are no errors reported. Therefore, the task is complete.", 'status': 'Complete', 'score': 8}
************************</judge_json>*************************
tool already exists!
save_excel_file has been stored in the tool repository.
The execution of the current sub task has been successfully completed.
(OS-Copilot_env) huang@fedora:~/OS-Copilot$

HuangDuoYan avatar Aug 02 '25 02:08 HuangDuoYan

我找出问题了，https://github.com/OS-Copilot/OS-Copilot/blob/f720af8807e49a92dda64572d2c6bc6c0ac7ee7e/oscopilot/utils/config.py#L82 这一行给--sheet_task_id参数设定了默认值，导致https://github.com/OS-Copilot/OS-Copilot/blob/f720af8807e49a92dda64572d2c6bc6c0ac7ee7e/examples/SheetCopilot/run_sheet_task.py#L13 else永不执行！

HuangDuoYan avatar Aug 06 '25 14:08 HuangDuoYan