Archives/tubearchivist
2
0
Fork 0
mirror of https://github.com/tubearchivist/tubearchivist synced 2024-11-16 00:12:49 +00:00
Code Issues Projects Releases Wiki Activity

update dev environment details

Browse Source
This commit is contained in:
simon 2022-05-20 20:26:31 +07:00
parent f49e313e2f
commit 3a2a7dac40
No known key found for this signature in database
GPG Key ID: 2C15AA5E89985DD4
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
CONTRIBUTING.md
View File

@ -11,7 +11,7 @@ If the issue doesn't move forward due to a lack of response, I assume it's solve
## Wiki
The wiki is where all user functions are explained in detail. These pages are mirrored into the **docs** folder of the repo. This allows for pull requests and all other features like regular code. Make any changes there, and I'll sync them with the wiki tab.
The wiki is where all user functions are documented in detail. These pages are mirrored into the **docs** folder of the repo. This allows for pull requests and all other features like regular code. Make any changes there, and I'll sync them with the wiki tab.
## Development Environment
@ -19,7 +19,7 @@ I have learned the hard way, that working on a dockerized application outside of
This is my setup I have landed on, YMMV:
- Clone the repo, work on it with your favorite code editor in your local filesystem. *testing* branch is the where all the changes are happening, might be unstable and is WIP.
- Then I have a VM on KVM hypervisor running standard Ubuntu Server LTS with docker installed. The VM keeps my projects separate and offers convenient snapshot functionality. The VM also offers ways to simulate lowend environments by limiting CPU cores and memory. You can use this [Ansible Docker Ubuntu](https://github.com/bbilly1/ansible-playbooks) playbook to get started quickly. But you could also just run docker on your host system.
- Then I have a VM running standard Ubuntu Server LTS with docker installed. The VM keeps my projects separate and offers convenient snapshot functionality. The VM also offers ways to simulate lowend environments by limiting CPU cores and memory. You can use this [Ansible Docker Ubuntu](https://github.com/bbilly1/ansible-playbooks) playbook to get started quickly. But you could also just run docker on your host system.
- The `Dockerfile` is structured in a way that the actual application code is in the last layer so rebuilding the image with only code changes utilizes the build cache for everything else and will just take a few seconds.
- Take a look at the `deploy.sh` file. I have my local DNS resolve `tubearchivist.local` to the IP of the VM for convenience. To deploy the latest changes and rebuild the application to the testing VM run:
```bash
@ -27,7 +27,7 @@ This is my setup I have landed on, YMMV:
```
- The command above will call the docker build command with `--build-arg INSTALL_DEBUG=1` to install additional useful debug tools.
- The `test` argument takes another optional argument to build for a specific architecture valid options are: `amd64`, `arm64` and `multi`, default is `amd64`.
- This `deploy.sh` file is not meant to be universally usable for every possible environment but could serve as an idea on how to automatically rebuild containers to test changes - customize to your liking.
- This `deploy.sh` script is not meant to be universally usable for every possible environment but could serve as an idea on how to automatically rebuild containers to test changes - customize to your liking.
## Working with Elasticsearch
Additionally to the required services as listed in the example docker-compose file, the **Dev Tools** of [Kibana](https://www.elastic.co/guide/en/kibana/current/docker.html) are invaluable for running and testing Elasticsearch queries.