khoj/docs/development.md

115 lines
4 KiB
Markdown
Raw Normal View History

# Development
## Setup
### Using Pip
#### 1. Install
```shell
# Get Khoj Code
git clone https://github.com/khoj-ai/khoj && cd khoj
# Create, Activate Virtual Environment
python3 -m venv .venv && source .venv/bin/activate
# Install Khoj for Development
pip install -e .[dev]
```
#### 2. Run
1. Start Khoj
```shell
khoj -vv
```
2. Configure Khoj
- **Via the Settings UI**: Add files, directories to index the [Khoj settings](http://localhost:42110/config) UI once Khoj has started up. Once you've saved all your settings, click `Configure`.
- **Manually**:
- Copy the `config/khoj_sample.yml` to `~/.khoj/khoj.yml`
- Set `input-files` or `input-filter` in each relevant `content-type` section of `~/.khoj/khoj.yml`
- Set `input-directories` field in `image` `content-type` section
- Delete `content-type` and `processor` sub-section(s) irrelevant for your use-case
- Restart khoj
Note: Wait after configuration for khoj to Load ML model, generate embeddings and expose API to query notes, images, documents etc specified in config YAML
### Using Docker
#### 1. Clone
```shell
git clone https://github.com/khoj-ai/khoj && cd khoj
```
#### 2. Configure
- **Required**: Update [docker-compose.yml](./docker-compose.yml) to mount your images, (org-mode or markdown) notes, PDFs and Github repositories
- **Optional**: Edit application configuration in [khoj_docker.yml](./config/khoj_docker.yml)
#### 3. Run
```shell
docker-compose up -d
```
*Note: The first run will take time. Let it run, it\'s mostly not hung, just generating embeddings*
#### 4. Upgrade
```shell
docker-compose build --pull
```
## Validate
### Before Making Changes
1. Install Git Hooks for Validation
```shell
pre-commit install -t pre-push -t pre-commit
```
- This ensures standard code formatting fixes and other checks run automatically on every commit and push
- Note 1: If [pre-commit](https://pre-commit.com/#intro) didn't already get installed, [install it](https://pre-commit.com/#install) via `pip install pre-commit`
- Note 2: To run the pre-commit changes manually, use `pre-commit run --hook-stage manual --all` before creating PR
### Before Creating PR
1. Run Tests. If you get an error complaining about a missing `fast_tokenizer_file`, follow the solution [in this Github issue](https://github.com/UKPLab/sentence-transformers/issues/1659).
```shell
pytest
```
2. Run MyPy to check types
```shell
mypy --config-file pyproject.toml
```
### After Creating PR
- Automated [validation workflows](.github/workflows) run for every PR.
Ensure any issues seen by them our fixed
- Test the python packge created for a PR
1. Download and extract the zipped `.whl` artifact generated from the pypi workflow run for the PR.
2. Install (in your virtualenv) with `pip install /path/to/download*.whl>`
3. Start and use the application to see if it works fine
## Create Khoj Release
Follow the steps below to [release](https://github.com/debanjum/khoj/releases/) Khoj. This will create a stable release of Khoj on [Pypi](https://pypi.org/project/khoj-assistant/), [Melpa](https://stable.melpa.org/#%252Fkhoj) and [Obsidian](https://obsidian.md/plugins?id%253Dkhoj). It will also create desktop apps of Khoj and attach them to the latest release.
1. Create and tag release commit by running the bump_version script. The release commit sets version number in required metadata files.
```shell
./scripts/bump_version.sh -c "<release_version>"
```
2. Push commit and then the tag to trigger the release workflow to create Release with auto generated release notes.
```shell
git push origin master # push release commit to khoj repository
git push origin <release_version> # push release tag to khoj repository
```
3. [Optional] Update the Release Notes to highlight new features, fixes and updates
## Architecture
![](./assets/khoj_architecture.png)
## Visualize Codebase
*[Interactive Visualization](https://mango-dune-07a8b7110.1.azurestaticapps.net/?repo=debanjum%2Fkhoj)*
![](./assets/khoj_codebase_visualization_0.2.1.png)