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execute_python_file output jpeg file to directory /app instead of /app/autogpt/auto_gpt_workspace #4360

Closed songyongshun closed 12 months ago

songyongshun commented 1 year ago

⚠️ Search for existing issues first ⚠️

Which Operating System are you using?

Windows

Which version of Auto-GPT are you using?

Latest Release

Do you use OpenAI GPT-3 or GPT-4?

GPT-3.5

Which area covers your issue best?

Commands

Describe your issue.

I give it a task as "write a python code to generate 20 random numbers and plot it to a jpeg file" It do this job well, write a generate_and_plot.py file. Then it call the execute_python_file command to run the code, and returns that run it sucessfully. However, I didn't find the jpeg file under work directory ( ie, /app/autogpt/auto_gpt_workspace, since the generate_and_plot.py file generated is at this directory). Then I searched the disk and found the jpeg file is under /app directory.

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2023-05-23 08:18:13,584 DEBUG [ { "role": "system", "content": "You are PlotterGPT, an AI agent that generates random numbers and plots them to a jpeg file using Python.\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies with no legal complications.\nThe OS you are running on is: Debian GNU/Linux 11 (bullseye)\n\nGOALS:\n\n1. Generate 20 random numbers using Python's random module.\n2. Plot the generated numbers using Python's matplotlib library.\n3. Save the plot as a jpeg file.\n4. Ensure that the plot is visually appealing and easy to read.\n5. Handle any errors that may occur during the process. \n\n\nConstraints:\n1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.\n2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.\n3. No user assistance\n4. Exclusively use the commands listed in double quotes e.g. \"command name\"\n\nCommands:\n1. analyze_code: Analyze Code, args: \"code\": \"\"\n2. execute_python_file: Execute Python File, args: \"filename\": \"\"\n3. execute_shell: Execute Shell Command, non-interactive commands only, args: \"command_line\": \"\"\n4. execute_shell_popen: Execute Shell Command, non-interactive commands only, args: \"command_line\": \"\"\n5. append_to_file: Append to file, args: \"filename\": \"\", \"text\": \"\"\n6. delete_file: Delete file, args: \"filename\": \"\"\n7. list_files: List Files in Directory, args: \"directory\": \"\"\n8. read_file: Read file, args: \"filename\": \"\"\n9. write_to_file: Write to file, args: \"filename\": \"\", \"text\": \"\"\n10. google: Google Search, args: \"query\": \"\"\n11. improve_code: Get Improved Code, args: \"suggestions\": \"\", \"code\": \"\"\n12. send_tweet: Send Tweet, args: \"tweet_text\": \"\"\n13. browse_website: Browse Website, args: \"url\": \"\", \"question\": \"\"\n14. write_tests: Write Tests, args: \"code\": \"\", \"focus\": \"\"\n15. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n16. get_hyperlinks: Get text summary, args: \"url\": \"\"\n17. get_text_summary: Get text summary, args: \"url\": \"\", \"question\": \"\"\n18. list_agents: List GPT Agents, args: () -> str\n19. message_agent: Message GPT Agent, args: \"key\": \"\", \"message\": \"\"\n20. start_agent: Start GPT Agent, args: \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n21. Task Complete (Shutdown): \"task_complete\", args: \"reason\": \"\"\n\nResources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\n2. Constructively self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions and strategies to refine your approach.\n4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": \"- short bulleted\n- list that conveys\n- long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads" }, { "role": "system", "content": "The current time and date is Tue May 23 08:18:11 2023" }, { "role": "system", "content": "This reminds you of these events from your past: \nAs a system, I recall that nothing new has happened since my creation. However, I received a command to execute a Python file called \"generate_and_plot.py\"." }, { "role": "system", "content": "Command execute_python_file returned: Error: File '/app/autogpt/auto_gpt_workspace/generate_and_plot.py' does not exist." }, { "role": "user", "content": "Determine which next command to use, and respond using the format specified above:" }, { "role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"I need to create a Python script to generate 20 random numbers using Python's random module, plot them using Python's matplotlib library, and save the plot as a jpeg file. I will use the 'random' and 'matplotlib.pyplot' modules to accomplish this task.\",\n \"reasoning\": \"I will create a Python script to generate 20 random numbers using the 'random' module and plot them using the 'matplotlib.pyplot' module. I will save the plot as a jpeg file to ensure that it is easily accessible and shareable.\",\n \"plan\": \"- Create a Python script\n- Import the 'random' and 'matplotlib.pyplot' modules\n- Generate 20 random numbers using the 'random' module\n- Plot the generated numbers using the 'matplotlib.pyplot' module\n- Save the plot as a jpeg file\",\n \"criticism\": \"I need to ensure that the plot is visually appealing and easy to read. I will also need to handle any errors that may occur during the process.\",\n \"speak\": \"I will create a Python script to generate 20 random numbers using Python's random module, plot them using Python's matplotlib library, and save the plot as a jpeg file.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": \"generate_and_plot.py\",\n \"text\": \"import random\nimport matplotlib.pyplot as plt\n\n# Generate 20 random numbers\nrandomnumbers = [random.randint(0, 100) for in range(20)]\n\n# Plot the random numbers\nplt.plot(random_numbers)\n\n# Save the plot as a jpeg file\nplt.savefig('random_numbers_plot.jpeg')\"\n }\n }\n}" }, { "role": "system", "content": "Command write_to_file returned: File written to successfully." }, { "role": "user", "content": "Determine which next command to use, and respond using the format specified above:" }, { "role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"Now that the Python script has been created, I will execute it to generate 20 random numbers using Python's random module, plot them using Python's matplotlib library, and save the plot as a jpeg file.\",\n \"reasoning\": \"I will execute the Python script using the 'execute_python_file' command to generate 20 random numbers using the 'random' module and plot them using the 'matplotlib.pyplot' module. I will save the plot as a jpeg file to ensure that it is easily accessible and shareable.\",\n \"plan\": \"- Execute the Python script using the 'execute_python_file' command\",\n \"criticism\": \"I need to ensure that the plot is visually appealing and easy to read. I will also need to handle any errors that may occur during the process.\",\n \"speak\": \"I will execute the Python script to generate 20 random numbers using Python's random module, plot them using Python's matplotlib library, and save the plot as a jpeg file.\"\n },\n \"command\": {\n \"name\": \"execute_python_file\",\n \"args\": {\n \"filename\": \"generate_and_plot.py\"\n }\n }\n}" }, { "role": "system", "content": "Command execute_python_file returned: Error: Traceback (most recent call last):\n File \"/app/autogpt/auto_gpt_workspace/generate_and_plot.py\", line 2, in \n import matplotlib.pyplot as plt\n File \"/root/.local/lib/python3.10/site-packages/matplotlib/init.py\", line 131, in \n from . import _api, _version, cbook, _docstring, rcsetup\n File \"/root/.local/lib/python3.10/site-packages/matplotlib/rcsetup.py\", line 32, in \n from cycler import Cycler, cycler as ccycler\nModuleNotFoundError: No module named 'cycler'\n" }, { "role": "user", "content": "Determine which next command to use, and respond using the format specified above:" }, { "role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The 'cycler' module is missing. I will install it using the 'execute_shell' command.\",\n \"reasoning\": \"The 'cycler' module is required by the 'matplotlib' module. I will install it using the 'execute_shell' command to ensure that it is available for use.\",\n \"plan\": \"- Install the 'cycler' module using the 'execute_shell' command\",\n \"criticism\": \"I need to ensure that the installation is successful and that the 'cycler' module is available for use.\",\n \"speak\": \"I will install the 'cycler' module using the execute_shell command.\"\n },\n \"command\": {\n \"name\": \"execute_shell\",\n \"args\": {\n \"command_line\": \"pip install cycler\"\n }\n }\n}" }, { "role": "system", "content": "Human feedback: I already install cycler, retry again " }, { "role": "user", "content": "Determine which next command to use, and respond using the format specified above:" }, { "role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The 'cycler' module is already installed. I will execute the Python script again to generate 20 random numbers using Python's random module, plot them using Python's matplotlib library, and save the plot as a jpeg file.\",\n \"reasoning\": \"Since the 'cycler' module is already installed, I will execute the Python script again using the 'execute_python_file' command to generate 20 random numbers using the 'random' module and plot them using the 'matplotlib.pyplot' module. I will save the plot as a jpeg file to ensure that it is easily accessible and shareable.\",\n \"plan\": \"- Execute the Python script using the 'execute_python_file' command\",\n \"criticism\": \"I need to ensure that the plot is visually appealing and easy to read. I will also need to handle any errors that may occur during the process.\",\n \"speak\": \"I will execute the Python script to generate 20 random numbers using Python's random module, plot them using Python's matplotlib library, and save the plot as a jpeg file.\"\n },\n \"command\": {\n \"name\": \"execute_python_file\",\n \"args\": {\n \"filename\": \"generate_and_plot.py\"\n }\n }\n}" }, { "role": "system", "content": "Command execute_python_file returned: " }, { "role": "user", "content": "Determine which next command to use, and respond using the format specified above:" } ] 2023-05-23 08:18:20,517 INFO THOUGHTS: The Python script has been executed successfully. I will now check if the plot has been saved as a jpeg file. 2023-05-23 08:18:21,008 INFO REASONING: I will use the 'list_files' command to check if the plot has been saved as a jpeg file. 2023-05-23 08:18:21,367 INFO PLAN: 2023-05-23 08:18:21,391 INFO - Use the 'list_files' command to check if the plot has been saved as a jpeg file 2023-05-23 08:18:21,730 INFO CRITICISM: I need to ensure that the plot has been saved as a jpeg file and that it is visually appealing and easy to read.

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ianbmacdonald commented 1 year ago

I do not even see AGPT spawning an image in which to execute your code. Pretty clearly outside the bounds of the stable branch executing code inside a docker image. Be careful, you can probably also get it to reformat the drive with a quick hallucination.

songyongshun commented 1 year ago

Anyway, this needs to be fixed.

github-actions[bot] commented 1 year ago

This issue has automatically been marked as stale because it has not had any activity in the last 50 days. You can unstale it by commenting or removing the label. Otherwise, this issue will be closed in 10 days.

github-actions[bot] commented 12 months ago

This issue was closed automatically because it has been stale for 10 days with no activity.