Replies: 6 comments
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To add libraries like Matplotlib to your Dify installation and use them in a code node, you would typically manage dependencies using a tool like Poetry, which Dify uses for its API service. Poetry manages dependencies in a However, specific instructions for adding libraries directly to a Dify code node or workflow are not detailed in the available documentation. It's important to note that Dify's execution environments are sandboxed for security reasons, which may impose limitations on the use of certain libraries or functions [3]. To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other |
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i have my instance runing on docker containers, wich one i need to log in to manage my dependencies and also when installed, do a simple "import ... from" needed inmy code node to use the necessary library ? |
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To manage dependencies for your Dify instance running on Docker containers, you should log into the
After installing the library, you can use it in your code node with a simple import statement like this: from <library_name> import <module> Make sure to replace To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other |
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sounds good ! is this code can work inside a Code Node ? import matplotlib.pyplot as plt def main(arg1: str, arg2: str) -> dict:
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The code you've provided will not work as expected within a Dify Code Node due to the sandboxed environment restrictions. Specifically, direct file system access, such as saving a plot to a file with To handle image data as output in a Dify Code Node, you can convert the plot to a binary format (like a PNG image) and return it as a base64-encoded string. Here's an example of how you can modify your code to achieve this: import matplotlib.pyplot as plt
import io
import base64
def main(arg1: str, arg2: str) -> dict:
# Sample data
x = [1, 2, 3, 4, 5]
y = [10, 20, 25, 40, 50]
# Create the plot
plt.plot(x, y, marker='o', linestyle='-', color='b', label='Sample Line')
# Adding labels and title
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Sample Graph')
# Display a legend
plt.legend()
# Save the plot to a bytes buffer
buf = io.BytesIO()
plt.savefig(buf, format='png')
buf.seek(0)
# Encode the image to base64
image_base64 = base64.b64encode(buf.read()).decode('utf-8')
return {
"result": image_base64,
} This code saves the plot to an in-memory buffer and then encodes it as a base64 string, which can be returned as an output variable. You can then handle this base64 string in your application to display or process the image. To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other |
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thank you, when using you code in code Node i got this error : |
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Hello All,
i want to add to my workflow some libraries like Matplotlib, for chart creation
is there any how to, that can make me add libraries to my dify install, and then use them in the code node using the difyUI worflow
best
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