I am using a YAML config to install a package from BitBucket into my conda environment, a subset of the file looks like this:
# config.yaml
name: ll4ma_opt
channels:
- defaults
- conda-forge
dependencies:
- pip
- pip:
- git+https://bitbucket.org/robot-learning/ll4ma_util.git
This works great. I do conda env create -f config.yaml
and it creates the environment just fine.
My problem is that when I make a change to the BitBucket package ll4ma_util
, I do not get those changes in my conda environment, even after doing conda env update -f config.yaml
I see this output in the terminal when I try to do the update:
Pip subprocess output:
Collecting git+https://bitbucket.org/robot-learning/ll4ma_util.git (from -r /home/adam/ll4ma-opt-sandbox/conda/condaenv.65mn0x4h.requirements.txt (line 3))
Cloning https://bitbucket.org/robot-learning/ll4ma_util.git to /tmp/pip-req-build-5qdqlgww
Resolved https://bitbucket.org/robot-learning/ll4ma_util.git to commit 9673a4ff2025356a4eff72b0ee44e7f02d76b414
The hash shown is in fact the latest commit, but when I try to use the code after the update it's still using the old code and doesn't reflect the changes I made to the ll4ma_util
package. The only way I've been successful is to completely remove my environment with conda env remove -n ll4ma_opt
and then create it new again.
Is there a way I can force an update of the BitBucket package such that if I installed the package using git
and pip
in the conda environment, it will pull and use any recent changes from the git repo when I run an update of my conda environment?