[Bug]: Agent cannot install any pip library

[Volko76]

Is there an existing issue for the same bug?

• I have checked the troubleshooting document at https://opendevin.github.io/OpenDevin/modules/usage/troubleshooting
• I have checked the existing issues.

Describe the bug

The agent just cannot manage to install numpy library. It just repeat that numpy installation is unsuccessfull

Current Version

0.5

Installation and Configuration

Recent fresh install Ubuntu, use docker from snap, got the issue when trying GPT3.5, Groq LLama3 8B and 70B

Model and Agent

CodeActAgent

Reproduction Steps

Ask him to create a python file that require numpy (for exemple a game of life)

Logs, Errors, Screenshots, and Additional Context

for x in range(max(0, i-1), min(rows, i+2)):
for y in range(max(0, j-1), min(cols, j+2)):
if (x, y) != (i, j):
live_neighbors += board[x, y]
if board[i, j] == 1:
new_board[i, j] = 1 if live_neighbors in [2, 3] else 0
else:
new_board[i, j] = 1 if live_neighbors == 3 else 0
return new_board

def visualize(board):
plt.imshow(board, cmap='gray')
plt.show()

def main():
board = np.random.randint(0, 2, size=(20, 20))
for _ in range(100):
board = game_of_life(board)
visualize(board)

if name == 'main':
main()
16:18:23 - OBSERVATION
IPythonRunCellObservation(content="---------------------------------------------------------------------------\r\nModuleNotFoundError Traceback (most recent call last)\r\nCell In[1], line 1\r\n----> 1 import numpy as np\r\n 2 import matplotlib.pyplot as plt\r\n 4 def game_of_life(board):\r\n\r\nModuleNotFoundError: No module named 'numpy'", code="import numpy as np\nimport matplotlib.pyplot as plt\n\ndef game_of_life(board):\n rows, cols = board.shape\n new_board = np.zeros((rows, cols))\n for i in range(rows):\n for j in range(cols):\n live_neighbors = 0\n for x in range(max(0, i-1), min(rows, i+2)):\n for y in range(max(0, j-1), min(cols, j+2)):\n if (x, y) != (i, j):\n live_neighbors += board[x, y]\n if board[i, j] == 1:\n new_board[i, j] = 1 if live_neighbors in [2, 3] else 0\n else:\n new_board[i, j] = 1 if live_neighbors == 3 else 0\n return new_board\n\ndef visualize(board):\n plt.imshow(board, cmap='gray')\n plt.show()\n\ndef main():\n board = np.random.randint(0, 2, size=(20, 20))\n for _ in range(100):\n board = game_of_life(board)\n visualize(board)\n\nif name == 'main':\n main()", observation='run_ipython')

==============
STEP 3

16:18:27 - ACTION
CmdRunAction
THOUGHT:It seems that the NumPy module is still not installed. Let me install it for you again:
COMMAND:
pip install numpy
16:18:28 - OBSERVATION
CmdOutputObservation(content="\x1b[33mWARNING: The directory '/home/opendevin/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you should use sudo's -H flag.\x1b[0m\x1b[33m\r\n\x1b[0mDefaulting to user installation because normal site-packages is not writeable\r\nRequirement already satisfied: numpy in /home/opendevin/.local/lib/python3.10/site-packages (1.26.4)", command_id=-1, command='pip install numpy', exit_code=0, observation='run')

==============
STEP 4

16:18:36 - ACTION
IPythonRunCellAction
THOUGHT:It seems that the installation of NumPy was successful. Now that NumPy is installed, let's go back to the Game of Life code. I'll run the code again:
CODE:
import numpy as np
import matplotlib.pyplot as plt

def game_of_life(board):
rows, cols = board.shape
new_board = np.zeros((rows, cols))
for i in range(rows):
for j in range(cols):
live_neighbors = 0
for x in range(max(0, i-1), min(rows, i+2)):
for y in range(max(0, j-1), min(cols, j+2)):
if (x, y) != (i, j):
live_neighbors += board[x, y]
if board[i, j] == 1:
new_board[i, j] = 1 if live_neighbors in [2, 3] else 0
else:
new_board[i, j] = 1 if live_neighbors == 3 else 0
return new_board

def visualize(board):
plt.imshow(board, cmap='gray')
plt.show()

def main():
board = np.random.randint(0, 2, size=(20, 20))
for _ in range(100):
board = game_of_life(board)
visualize(board)

if name == 'main':
main()
16:18:37 - OBSERVATION
IPythonRunCellObservation(content="---------------------------------------------------------------------------\r\nModuleNotFoundError Traceback (most recent call last)\r\nCell In[1], line 1\r\n----> 1 import numpy as np\r\n 2 import matplotlib.pyplot as plt\r\n 4 def game_of_life(board):\r\n\r\nModuleNotFoundError: No module named 'numpy'", code="import numpy as np\nimport matplotlib.pyplot as plt\n\ndef game_of_life(board):\n rows, cols = board.shape\n new_board = np.zeros((rows, cols))\n for i in range(rows):\n for j in range(cols):\n live_neighbors = 0\n for x in range(max(0, i-1), min(rows, i+2)):\n for y in range(max(0, j-1), min(cols, j+2)):\n if (x, y) != (i, j):\n live_neighbors += board[x, y]\n if board[i, j] == 1:\n new_board[i, j] = 1 if live_neighbors in [2, 3] else 0\n else:\n new_board[i, j] = 1 if live_neighbors == 3 else 0\n return new_board\n\ndef visualize(board):\n plt.imshow(board, cmap='gray')\n plt.show()\n\ndef main():\n board = np.random.randint(0, 2, size=(20, 20))\n for _ in range(100):\n board = game_of_life(board)\n visualize(board)\n\nif name == 'main':\n main()", observation='run_ipython')

==============
STEP 5

16:18:40 - ACTION
IPythonRunCellAction
THOUGHT:It seems that the NumPy module is still not recognized. Let me try to import it again:
CODE:
import numpy as np
16:18:40 - OBSERVATION
IPythonRunCellObservation(content="---------------------------------------------------------------------------\r\nModuleNotFoundError Traceback (most recent call last)\r\nCell In[1], line 1\r\n----> 1 import numpy as np\r\n\r\nModuleNotFoundError: No module named 'numpy'", code='import numpy as np', observation='run_ipython')

==============
STEP 6

16:18:44 - ACTION
CmdRunAction
THOUGHT:It seems that the NumPy module is still not recognized. Let me try to install it again:
COMMAND:
pip install numpy
16:18:45 - OBSERVATION
CmdOutputObservation(content="\x1b[33mWARNING: The directory '/home/opendevin/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you should use sudo's -H flag.\x1b[0m\x1b[33m\r\n\x1b[0mDefaulting to user installation because normal site-packages is not writeable\r\nRequirement already satisfied: numpy in /home/opendevin/.local/lib/python3.10/site-packages (1.26.4)", command_id=-1, command='pip install numpy', exit_code=0, observation='run')

[RACMUP]

I'm having the same problem. My guess is that the the coding agent did not setup a virtual environment.

[jiangleo]

I've noticed that installing packages like pandas and scikit-learn with OpenDevin 0.5.2 is hitting some snags due to path issues. It looks like when we use pip, the packages go into the user’s local site-packages directory, but they might not be in the Python path.

1. Manual Installation in Docker: Works fine, imports are successful.
2. OpenDevin Installation via Terminal: It fails.
3. OpenDevin with Absolute Site-Packages Path in Jupyter: Works fine, imports are successful.

THOUGHT:It seems we're still encountering an issue with importing `pandas`. This could be due to the environment path not including the user site-packages directory where `pandas` is installed. To resolve this, I will try to modify the Python path to include the user site-packages directory and then attempt to import `pandas` again.
CODE:
import sys
sys.path.append('/home/opendevin/.local/lib/python3.10/site-packages')

# Now, let's try importing pandas again
import pandas as pd

[neubig]

Per discussion in #1707, we're having trouble reproducing this. If we can create a test that fails constantly due to this error, it'd be easier to fix and regression test. Any contributions of such a test are welcome!

[steventangbc]

I can reproduce similar results when trying to analyze any csv file with Python libraries like Pandas, NumPy, or Matplotlib. The pip install keeps looping or the agent encounters an error.

[neubig]

OK, thanks @steventangbc , we'll make this high priority.

[SmartManoj]

Duplicate of #1616

[github-actions]

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