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After importing a third-party library into the Python sandbox container, the execution results are inconsistent between the container and the web interface
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Dify version
0.6.8
Cloud or Self Hosted
Self Hosted (Docker)
Steps to reproduce
1.I successfully imported the third-party Python library 'mysql-connector-python' into the sandbox container, and the execution of 'import mysql.connector' was successful.
2.However, when executing the script in the web interface, the prompt states 'in ModuleNotFoundError: No module named 'mysql' error'
'dify-api' and 'sandbox' are network-connected, and the corresponding .py files will be generated within the sandbox container.
✔️ Expected Behavior
No response
❌ Actual Behavior
No response
To address the issue where the 'mysql-connector-python' library works in your Python sandbox container but not through the web interface, ensure the library is installed in the correct environment used by Dify for executing Python scripts. Here's a focused approach:
-
Custom Docker Image: Modify the Docker Compose configuration for the
sandbox
service to use a custom Docker image that includes 'mysql-connector-python'. This ensures the library is available for scripts executed via the web interface. -
Dependency Installation Script: If Dify allows initializing the sandbox with a script, use it to install 'mysql-connector-python' before running your main script.
-
Refresh Python Environment: Use the
post_start_command.sh
script to update the Python environment within Dify, ensuring all dependencies, including 'mysql-connector-python', are correctly installed. -
Consult Dify Documentation or Support: For detailed guidance on managing Python dependencies within the sandbox, refer to the latest Dify documentation or contact their support.
By ensuring 'mysql-connector-python' is accessible in the sandbox environment where Dify executes Python scripts, the ModuleNotFoundError
should be resolved, allowing your scripts to run as expected.
Details
Sources
- After importing a third-party library into the Python sandbox container, the execution results are inconsistent between the container and the web interface
- en/features/workflow/nodes/code.md
- docker/docker-compose.yaml
- sdks/python-client/setup.py
- api/core/helper/code_executor/code_executor.py
- .devcontainer/post_start_command.sh
About Dosu This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.
To continue the conversation, mention @dosu.
@dosubot I would like to inquire about how 'code execution' occurs within the sandbox container. I have noticed that the 'dify-sandbox' container comes with the Python library 'request' pre-installed, yet it still cannot be imported.
To resolve the issue with the 'requests' library not being imported in your Dify sandbox environment, despite it being pre-installed, you should ensure that your project is correctly set up to install external libraries. Here's a concise guide:
-
Create or Update
requirements.txt
: In theapi
directory of your project, ensure there's arequirements.txt
file listingrequests
and any other libraries you need. Format it like so:requests==2.25.1
-
Check Project Structure: The
requirements.txt
should be in anapi
directory at your project's root. -
Restart Dify Sandbox: Deploy your project or restart the sandbox. The
post_start_command.sh
script will runpip install -r requirements.txt
, installing the specified libraries. -
Test Library Installation: After restarting, test the
requests
library with a simple script to confirm it's working as expected.
This approach leverages Dify's mechanism for handling external libraries via a requirements.txt
file, ensuring your scripts can use requests
within the sandbox. If issues persist, ensure your project aligns with Dify's guidelines on allowed operations and library usage, as recent updates restrict certain activities. For more detailed guidance, refer to the Dify documentation and the post_start_command.sh
script.
Details
Sources
- After importing a third-party library into the Python sandbox container, the execution results are inconsistent between the container and the web interface
- en/features/workflow/nodes/code.md
- .devcontainer/post_start_command.sh
- api/core/tools/provider/builtin/code/tools/simple_code.yaml
- .devcontainer/Dockerfile
- docker/docker-compose.yaml
About Dosu This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.
To continue the conversation, mention @dosu.
To resolve the issue with the 'requests' library not being imported in your Dify sandbox environment, despite it being pre-installed, you should ensure that your project is correctly set up to install external libraries. Here's a concise guide:
- Create or Update
requirements.txt
: In theapi
directory of your project, ensure there's arequirements.txt
file listingrequests
and any other libraries you need. Format it like so:requests==2.25.1
- Check Project Structure: The
requirements.txt
should be in anapi
directory at your project's root.- Restart Dify Sandbox: Deploy your project or restart the sandbox. The
post_start_command.sh
script will runpip install -r requirements.txt
, installing the specified libraries.- Test Library Installation: After restarting, test the
requests
library with a simple script to confirm it's working as expected.This approach leverages Dify's mechanism for handling external libraries via a
requirements.txt
file, ensuring your scripts can userequests
within the sandbox. If issues persist, ensure your project aligns with Dify's guidelines on allowed operations and library usage, as recent updates restrict certain activities. For more detailed guidance, refer to the Dify documentation and thepost_start_command.sh
script.Details
To continue the conversation, mention @dosu.
I am also failing to call the Flask dependency from the requirements.txt file during 'code execution'
To address the issue with importing requests
and Flask
from your requirements.txt
in the Dify sandbox environment, follow these targeted steps:
-
Ensure Correct Location: Confirm that your
requirements.txt
is correctly placed in theapi
directory and lists bothrequests
andFlask
. -
Virtual Environments: If Dify uses a Python virtual environment, make sure the
pip install
command executes within this environment to avoid scope issues. -
Review
post_start_command.sh
Output: Check this script's output for errors during the installation process, which could highlight the root cause. -
Manual Installation Check: Attempt to manually run
pip install -r requirements.txt
in the same context as thepost_start_command.sh
script to identify any discrepancies. -
Python Version Compatibility: Verify that the Python version in your sandbox supports the
requests
andFlask
versions you're trying to install. -
Permissions: Ensure the script has the necessary permissions to install packages, possibly requiring adjustments for elevated privileges.
-
Dependencies: Consider any unmet dependencies that
pip
might not resolve automatically, although this is less common.
Remember, the Dify sandbox has specific restrictions, especially regarding Python virtual environments and external package installations, due to its secure execution model. If these steps do not resolve your issue, consulting the Dify documentation or support for sandbox-specific guidance might provide further insights.
Details
Sources
- .devcontainer/post_start_command.sh
- en/getting-started/install-self-hosted/local-source-code.md
- sdks/python-client/setup.py
- en/features/workflow/nodes/code.md
- api/core/tools/provider/builtin/code/tools/simple_code.yaml
- docker/docker-compose.yaml
- api/core/helper/code_executor/code_executor.py
About Dosu This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.
To continue the conversation, mention @dosu.
To address the issue with importing
requests
andFlask
from yourrequirements.txt
in the Dify sandbox environment, follow these targeted steps:
- Ensure Correct Location: Confirm that your
requirements.txt
is correctly placed in theapi
directory and lists bothrequests
andFlask
.- Virtual Environments: If Dify uses a Python virtual environment, make sure the
pip install
command executes within this environment to avoid scope issues.- Review
post_start_command.sh
Output: Check this script's output for errors during the installation process, which could highlight the root cause.- Manual Installation Check: Attempt to manually run
pip install -r requirements.txt
in the same context as thepost_start_command.sh
script to identify any discrepancies.- Python Version Compatibility: Verify that the Python version in your sandbox supports the
requests
andFlask
versions you're trying to install.- Permissions: Ensure the script has the necessary permissions to install packages, possibly requiring adjustments for elevated privileges.
- Dependencies: Consider any unmet dependencies that
pip
might not resolve automatically, although this is less common.Remember, the Dify sandbox has specific restrictions, especially regarding Python virtual environments and external package installations, due to its secure execution model. If these steps do not resolve your issue, consulting the Dify documentation or support for sandbox-specific guidance might provide further insights.
Details
To continue the conversation, mention @dosu.
I want to check the source code of "dify-sandbox", can you provide it?
To address the issue with libraries not being imported in your Dify sandbox environment, first ensure that mysql-connector-python
and requests
are correctly listed in your requirements.txt
file, including specifying the versions if necessary. For example:
mysql-connector-python==8.0.23
requests==2.25.1
After updating requirements.txt
, rebuild the container to install these dependencies. If you're still facing issues, manually install them inside the container for testing:
pip install mysql-connector-python requests
This can help identify any potential errors not related to the requirements.txt
file. Also, check the permissions and ensure the pip
version inside the container is up to date to avoid installation issues.
Regarding accessing the "dify-sandbox" source code, since Dify is open-source, the code should be available on their official GitHub or GitLab repository. If you can't find it, consult the project's documentation or contact the maintainers for guidance.
Keep in mind, Dify's sandbox environment has limitations, such as restricted file system access, network calls, and operating system-level commands, which might lead to ModuleNotFoundError
for some modules.
Details
Sources
- After importing a third-party library into the Python sandbox container, the execution results are inconsistent between the container and the web interface
- .devcontainer/post_start_command.sh
- api/requirements.txt
- .devcontainer/devcontainer.json
- en/features/workflow/nodes/code.md
- en/getting-started/install-self-hosted/install-faq.md
- README.md
- en/community/contributing.md
- web/README.md
- en/getting-started/install-self-hosted/local-source-code.md
About Dosu This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.
To continue the conversation, mention @dosu.
To address the issue with libraries not being imported in your Dify sandbox environment, first ensure that
mysql-connector-python
andrequests
are correctly listed in yourrequirements.txt
file, including specifying the versions if necessary. For example:mysql-connector-python==8.0.23 requests==2.25.1
After updating
requirements.txt
, rebuild the container to install these dependencies. If you're still facing issues, manually install them inside the container for testing:pip install mysql-connector-python requests
This can help identify any potential errors not related to the
requirements.txt
file. Also, check the permissions and ensure thepip
version inside the container is up to date to avoid installation issues.Regarding accessing the "dify-sandbox" source code, since Dify is open-source, the code should be available on their official GitHub or GitLab repository. If you can't find it, consult the project's documentation or contact the maintainers for guidance.
Keep in mind, Dify's sandbox environment has limitations, such as restricted file system access, network calls, and operating system-level commands, which might lead to
ModuleNotFoundError
for some modules.Details
To continue the conversation, mention @dosu.
I tried to successfully install mysql-connector-python in the sandbox container, but when "code_executor" ran the py script, import mysql.connector prompted ModuleNotFoundError, so I wanted to take a look at the source code of "dify-sandbox". I found it on dify's github. I haven't found the sandbox information. Can you help me consult?
The source code for "dify-sandbox" can be found by cloning the Dify repository from GitHub. You can do this using the following command:
git clone https://github.com/langgenius/dify.git
This repository contains the source code for the Dify project, including the "dify-sandbox" service. For more detailed instructions on setting up and deploying the project, you can refer to the documentation provided in the repository.
For specific details about the sandbox service, you can check the docker-compose.yaml
and docker-compose.middleware.yaml
files, which include configurations for the sandbox environment. Here are the relevant links:
These files will give you insights into how the sandbox is set up, including environment variables, volumes, and network configurations. This should help you understand why the ModuleNotFoundError
for mysql.connector
is occurring and how to resolve it.
@takatost, could you help with this?
Details
Sources
- docker/docker-compose.yaml
- en/getting-started/install-self-hosted/local-source-code.md
- api/core/helper/code_executor/code_executor.py
- zh_CN/guides/workflow/node/code.md
- en/features/workflow/nodes/code.md
- docker/docker-compose.middleware.yaml
About Dosu This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.
To continue the conversation, mention @dosu.
May I ask if this problem has been resolved?
May I ask if this problem has been resolved?
Not yet. Do you have similar problems?
请问这个问题解决了吗?
还没有。您也有类似的问题吗?
yes
I couldn't find the source code for "dify sandbox", so I have no way to start
same issue here , please help
up
Same issue here, just installed beautifulsoup4
The /dependencies/python-requirements.txt
:
beautifulsoup4
requests
redis
openai
pydantic
atlassian-python-api
Logs of the dify-sandbox
docker container:
2024/06/14 12:39:27 nodejs.go:32: [INFO]initializing nodejs runner environment...
2024/06/14 12:39:28 setup.go:98: [INFO]Collecting beautifulsoup4
2024/06/14 12:39:28 setup.go:98: [INFO] Downloading https://................../beautifulsoup4-4.12.3-py3-none-any.whl (147 kB)
.................
..............
2024/06/14 12:39:28 setup.go:98: [INFO] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 147.9/147.9 kB 5.9 MB/s eta 0:00:00
2024/06/14 12:39:28 setup.go:98: [INFO]
2024/06/14 12:39:29 setup.go:98: [INFO] Preparing metadata (setup.py): started
2024/06/14 12:39:30 setup.go:98: [INFO] Preparing metadata (setup.py): finished with status 'done'
2024/06/14 12:39:30 setup.go:98: [INFO]Building wheels for collected packages: wrapt
2024/06/14 12:39:30 setup.go:98: [INFO] Building wheel for wrapt (setup.py): started
2024/06/14 12:39:30 setup.go:98: [INFO] Building wheel for wrapt (setup.py): finished with status 'done'
2024/06/14 12:39:30 setup.go:98: [INFO] Created wheel for wrapt: filename=wrapt-1.12.1-py3-none-any.whl size=19554 sha256=6b9f8c401aab3f77dce44fd6014d214b495668bcb1bac7df26f0a8414f0dc581
2024/06/14 12:39:30 setup.go:98: [INFO] Stored in directory: /root/.cache/pip/wheels/e6/69/b0/18c881879b8a9d8d903717d38a570abca52c70f32b26d850da
2024/06/14 12:39:30 setup.go:98: [INFO]Successfully built wrapt
2024/06/14 12:39:30 setup.go:98: [INFO]Installing collected packages: wrapt, tqdm, soupsieve, six, pydantic, oauthlib, jmespath, distro, deprecated, async-timeout, requests-oauthlib, redis, beautifulsoup4, openai, atlassian-python-api
2024/06/14 12:39:32 setup.go:98: [INFO]Successfully installed async-timeout-4.0.3 atlassian-python-api-3.41.14 beautifulsoup4-4.12.3 deprecated-1.2.14 distro-1.9.0 jmespath-1.0.1 oauthlib-3.2.2 openai-1.33.0 pydantic-1.10.15 redis-5.0.3 requests-oauthlib-2.0.0 six-1.16.0 soupsieve-2.5 tqdm-4.66.4 wrapt-1.12.1
......................
......................
2024/06/14 12:39:32 setup.go:119: [INFO]Python dependency installed: beautifulsoup4
The dependencies libraries are indeed available:
and my code imports them:
But i get the error:
First discovery, Dify automatically adds some pre import lines for every executed code that looks like this:
# cat /tmp/code/5c5fc6b0_76f1_49ec_bf35_87bc3723ee81.py
import ctypes
import os
import sys
import json
import time
import traceback
# setup sys.excepthook
def excepthook(type, value, tb):
sys.stderr.write("".join(traceback.format_exception(type, value, tb)))
sys.stderr.flush()
sys.exit(-1)
sys.excepthook = excepthook
lib = ctypes.CDLL("./tmp/sandbox-python/python.so")
lib.DifySeccomp.argtypes = [ctypes.c_uint32, ctypes.c_uint32, ctypes.c_bool]
lib.DifySeccomp.restype = None
import requests
--> import beautifulsoup4 # ADDED FROM THE GUI DROPDOWN MENU
import functools
import binascii
import time
import hmac
import operator
import traceback
import hashlib
import random
import itertools
import datetime
from datetime import datetime
datetime.strptime('2021-01-01', '%Y-%m-%d')
import re
import math
import collections
import json
import string
import uuid
import sys
import os
import base64
lib.DifySeccomp(65537, 1000, 1)
# YOUR CODE FROM HERE
If I specify some libraries in the GUI via "ADVANCED DEPENDENCIES" then it will just add an import line in the precode, as you can see above with ìmport beautifulsoup4
First problem: BeautifulSoup is a great example as the import should be handled with this line from bs4 import BeautifulSoup
and not import beautifulsoup4
so this implementation might cause problem if the name of the dependency is not the name that should be used to import it.
Second problem (main problem of the GitHub Issue): So i decided to not use the GUI ADVANCED DEPENDENCIES dropdown menu and instead write manually my imports in the code.
But even after writing the correct from bs4 import BeautifulSoup
I get:
But running the code directly from the terminal does work:
# python /tmp/code/d284b100_93dc_4832_852c_56e48a0cdc15.py
{'result': {'pages': {'...................................'}}}
So What does the ADVANCED DEPENDENCIES dropdown menu do more that just to add some pre-lines before the code that makes the code run correctly.
What does this litteraly change if requests
is written (see comments below):
# cat /tmp/code/01b318a6_8b12_4374_9ae1_a1011ac41648.py
import ctypes
import os
import sys
import json
import time
import traceback
# setup sys.excepthook
def excepthook(type, value, tb):
sys.stderr.write("".join(traceback.format_exception(type, value, tb)))
sys.stderr.flush()
sys.exit(-1)
sys.excepthook = excepthook
lib = ctypes.CDLL("./tmp/sandbox-python/python.so")
lib.DifySeccomp.argtypes = [ctypes.c_uint32, ctypes.c_uint32, ctypes.c_bool]
lib.DifySeccomp.restype = None
# HERE (IF USING DROPDOWN MENU IN GUI)
------------------> import requests
------------------> etc...
import functools
import binascii
import time
import hmac
import operator
import traceback
import hashlib
import random
import itertools
import datetime
from datetime import datetime
datetime.strptime('2021-01-01', '%Y-%m-%d')
import re
import math
import collections
import json
import string
import uuid
import sys
import os
import base64
lib.DifySeccomp(65537, 1000, 1)
# declare main function
# OR HERE IF WRITING THE IMPORTS IN THE CODE DIRECTLY
------------------> import requests
------------------> import urllib3
------------------> import re
------------------> from bs4 import BeautifulSoup
# the rest of my code
any update?
I agree, the ability to add dependencies in the execution sandbox would be very helpful.
@thibaudbrg which /dependencies/python-requirements.txt did you change? I am not able to find the Dockerfile for the execution sandbox, this makes it hard to reason about how to actually change anything.
@mai-group-labs on the sandbox container. This is the container used for python execution.
docker exec -it sandbox_container_name /bin/sh
And every python code you write are located /temp/code/
.
Also you can access the file /dependencies/python_requirements.txt
from the same container. But it is easier to directly bind the /dependencies/ folder as a volume in the sandbox docker compose:
volumes:
- ./volumes/sandbox/dependencies:/dependencies
I upgraded to sandbox container 0.2.1 but didn't tried if the problem was solved. It'd be nice to have an answer from someone involved at Dify.
Same problem.
Same problem.
Same problem, 0.6.15
The same problem occurs when importing beautifulsoup4. As @thibaudbrg analyzed, the way to import dependent libraries is confusing. To sum up, there are two questions:
- Since selecting a dependent library in the "Advanced Dependencies" drop-down menu only adds a line of "import ..." when generating a .py file, why is it invalid to just add a line of "import ..." in the code block, and you must select the dependent library in the "Advanced Dependencies" drop-down menu?
- If you must select a dependent library in the "Advanced Dependencies" drop-down menu, it only supports the form of "import requests", but cannot support forms such as "from bs4 import BeautifulSoup", which is really not flexible enough.
This problem does not occur at all in normal Python programming. I don't understand why an "advanced dependency" mechanism should be introduced. Instead, it complicates the problem, but I don't see any benefits.
@dosubot I would like to inquire about how 'code execution' occurs within the sandbox container. I have noticed that the 'dify-sandbox' container comes with the Python library 'request' pre-installed, yet it still cannot be imported.
The requests library can be imported. You need to add an item in "Advanced Dependencies" and select "requests" in the drop-down menu. However, the beautifulsoup4 library cannot be imported in the same way, because the correct format is "from bs4 import BeautifulSoup", not "import beautifulsoup4".
any update?
lsoup4 library cannot be importe
change sandbox:0.2.1 to sandbox 0.2.4
Is there any possible to create several environments with conda and manage it there too?
same problem
same problem