This is a template repository for a minimal extension which should get you started if you want to contribute to specter via an extension. More information about Specter Extension Programming can be found here.
In oder to use this:
mkdir specterext-myextension && cd specterext-myextension
# Will work with version > 1.8.1
# pip3 install virtualenv
# virtualenv --python=python3 .env
# source .env/bin/activate
# pip3 install cryptoadvance.specter
source ../specter-desktop/.env/bin/activate # assuming you have a specter-desktop checked out there
python3 -m cryptoadvance.specter ext gen
# Follow the instructions ...
The above setup is describing a Development Environment for your extension. If you ommit the --config DevelopmentConfig, it'll no longer work. We don't want in a ProductionConfig, that arbitrary files get imported by python.
So in order to specify explicitely which extensions to load, there is a list in the ProductionConfig. So what you need to do is to first, switch the devstatus in your DummyService-class to production and then create your own relevant configuration and specify the extensions you want to load.
You could do that e.g. by creating a file in ./src/mynym/specterext/dummy/app_config.py with this content:
There is already an example in the folder when you generate the extension.
from cryptoadvance.specter.config import ProductionConfig
class Config(ProductionConfig):
EXTENSION_LIST=[
"dummy.service"
]
Then you'd start specter like this:
python3 -m cryptoadvance.specter server --config dummy.appconfig.Config
It's also possible, that you publish your extension on PyPi and use a fully qualified module-name in the EXTENSION_LIST. Obviously, you would need to install that in your (virtual-) environment in that case.
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