Solutions to environmental dependency conflicts
Python environment dependency conflicts are one of the most common installation issues when deploying JoyAgent-JDGenie locally. Below is a step-by-step solution:
- Creating a standalone virtual environment: It is recommended to use conda or venv to create an isolated environment
conda create -n joyagent_env python=3.8 - Install dependencies in batches: Install the base dependencies first
pip install numpy pandas requestsand install the other packages in requirements.txt. - Version Locking Tips: For packages required by a specific version, the
pip install package==x.x.xPrecise version control - Dependency tree checking: Use
pipdeptreeVisualize dependencies and identify sources of conflict
When encountering stubborn conflicts, try deploying via Docker containerization, where the project provides a Dockerfile that ensures environment consistency.
This answer comes from the articleJoyAgent-JDGenie: an open source multi-intelligence framework to support automated processing of complex tasksThe
May not be reproduced without permission:AI productivity tools " How to resolve environment dependency conflicts when deploying multi-intelligence frameworks locally?
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