pip installing environment.yml as if it's a requirements.txt
Question:
I have an environment.yml
file, but don’t want to use Conda:
name: foo
channels:
- defaults
dependencies:
- matplotlib=2.2.2
Is it possible to have pip
install the dependencies inside an environment.yml
file as if it’s a requirements.txt
file?
I tried pip install -r environment.yml
and it doesn’t work with pip==22.1.2
.
Answers:
No, pip
does not support this format. The format it expects for a requirements file is documented here. You’ll have to convert the environment.yml
file to a requirements.txt
format either manually or via a script that automates this process. However, keep in mind that not all packages on Conda will be available on PyPI.
I’ve implemented what Brian suggests in his comment.
This converts the environment.yaml
to requirements.txt
:
import yaml
with open("environment.yaml") as file_handle:
environment_data = yaml.load(file_handle)
with open("requirements.txt", "w") as file_handle:
for dependency in environment_data["dependencies"]:
package_name, package_version = dependency.split("=")
file_handle.write("{} == {}".format(package_name, package_version))
And this installs the dependencies directly with pip
:
import os
import yaml
with open("environment.yaml") as file_handle:
environment_data = yaml.load(file_handle)
for dependency in environment_data["dependencies"]:
package_name, package_version = dependency.split("=")
os.system("pip install {}=={}".format(package_name, package_version))
NOTE: I’ve omitted error handling and any other variations of package definitions (e.g., specification of a package version greater than or equal to a certain version) to keep it simple.
Based on Beni implementation, I just wanted to adjust the code since it has lots of errors;
import os
import yaml
with open("environment.yaml") as file_handle:
environment_data = yaml.safe_load(file_handle)
for dependency in environment_data["dependencies"]:
if isinstance(dependency, dict):
for lib in dependency['pip']:
os.system(f"pip install {lib}")
The first answer makes important points: there is not direct conversion because Conda is a general package manager and so includes additional packages. Furthermore, Conda packages can often go by different names. None of the proposed parsing solutions cover this situation.
Personally, I think the most efficacious complete approach is to recreate the environment with Mamba, then use pip
in the environment to dump out a legitimate requirements.txt
.
# use mamba, not conda
mamba env create -n foo -f environment.yaml
mamba install -yn foo pip
mamba run -n foo pip list --format freeze > requirements.txt
mamba env remove -n foo
That is, don’t overthink it and use the reliable tools at hand.
I have an environment.yml
file, but don’t want to use Conda:
name: foo
channels:
- defaults
dependencies:
- matplotlib=2.2.2
Is it possible to have pip
install the dependencies inside an environment.yml
file as if it’s a requirements.txt
file?
I tried pip install -r environment.yml
and it doesn’t work with pip==22.1.2
.
No, pip
does not support this format. The format it expects for a requirements file is documented here. You’ll have to convert the environment.yml
file to a requirements.txt
format either manually or via a script that automates this process. However, keep in mind that not all packages on Conda will be available on PyPI.
I’ve implemented what Brian suggests in his comment.
This converts the environment.yaml
to requirements.txt
:
import yaml
with open("environment.yaml") as file_handle:
environment_data = yaml.load(file_handle)
with open("requirements.txt", "w") as file_handle:
for dependency in environment_data["dependencies"]:
package_name, package_version = dependency.split("=")
file_handle.write("{} == {}".format(package_name, package_version))
And this installs the dependencies directly with pip
:
import os
import yaml
with open("environment.yaml") as file_handle:
environment_data = yaml.load(file_handle)
for dependency in environment_data["dependencies"]:
package_name, package_version = dependency.split("=")
os.system("pip install {}=={}".format(package_name, package_version))
NOTE: I’ve omitted error handling and any other variations of package definitions (e.g., specification of a package version greater than or equal to a certain version) to keep it simple.
Based on Beni implementation, I just wanted to adjust the code since it has lots of errors;
import os
import yaml
with open("environment.yaml") as file_handle:
environment_data = yaml.safe_load(file_handle)
for dependency in environment_data["dependencies"]:
if isinstance(dependency, dict):
for lib in dependency['pip']:
os.system(f"pip install {lib}")
The first answer makes important points: there is not direct conversion because Conda is a general package manager and so includes additional packages. Furthermore, Conda packages can often go by different names. None of the proposed parsing solutions cover this situation.
Personally, I think the most efficacious complete approach is to recreate the environment with Mamba, then use pip
in the environment to dump out a legitimate requirements.txt
.
# use mamba, not conda
mamba env create -n foo -f environment.yaml
mamba install -yn foo pip
mamba run -n foo pip list --format freeze > requirements.txt
mamba env remove -n foo
That is, don’t overthink it and use the reliable tools at hand.