mirror of
https://github.com/khoj-ai/khoj.git
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129 lines
4.8 KiB
Markdown
129 lines
4.8 KiB
Markdown
# Development
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## Setup
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### Using Pip
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#### 1. Install
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```shell
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# Get Khoj Code
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git clone https://github.com/khoj-ai/khoj && cd khoj
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# Create, Activate Virtual Environment
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python3 -m venv .venv && source .venv/bin/activate
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# Install Khoj for Development
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pip install -e .[dev]
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```
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#### 2. Run
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1. Start Khoj
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```shell
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khoj -vv
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```
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2. Configure Khoj
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- **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`.
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- **Manually**:
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- Copy the `config/khoj_sample.yml` to `~/.khoj/khoj.yml`
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- Set `input-files` or `input-filter` in each relevant `content-type` section of `~/.khoj/khoj.yml`
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- Set `input-directories` field in `image` `content-type` section
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- Delete `content-type` and `processor` sub-section(s) irrelevant for your use-case
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- Restart khoj
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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
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### Using Docker
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#### 1. Clone
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```shell
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git clone https://github.com/khoj-ai/khoj && cd khoj
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```
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#### 2. Configure
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- **Required**: Update [docker-compose.yml](https://github.com/khoj-ai/khoj/blob/master/docker-compose.yml) to mount your images, (org-mode or markdown) notes, PDFs and Github repositories
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- **Optional**: Edit application configuration in [khoj_docker.yml](https://github.com/khoj-ai/khoj/blob/master/config/khoj_docker.yml)
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#### 3. Run
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```shell
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docker-compose up -d
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```
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*Note: The first run will take time. Let it run, it\'s mostly not hung, just generating embeddings*
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#### 4. Upgrade
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```shell
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docker-compose build --pull
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```
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## Validate
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### Before Making Changes
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1. Install Git Hooks for Validation
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```shell
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pre-commit install -t pre-push -t pre-commit
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```
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- This ensures standard code formatting fixes and other checks run automatically on every commit and push
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- 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`
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- Note 2: To run the pre-commit changes manually, use `pre-commit run --hook-stage manual --all` before creating PR
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### Before Creating PR
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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).
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```shell
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pytest
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```
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2. Run MyPy to check types
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```shell
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mypy --config-file pyproject.toml
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```
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### After Creating PR
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- Automated [validation workflows](.github/workflows) run for every PR.
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Ensure any issues seen by them our fixed
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- Test the python packge created for a PR
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1. Download and extract the zipped `.whl` artifact generated from the pypi workflow run for the PR.
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2. Install (in your virtualenv) with `pip install /path/to/download*.whl>`
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3. Start and use the application to see if it works fine
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## Create Khoj Release
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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.
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1. Create and tag release commit by running the bump_version script. The release commit sets version number in required metadata files.
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```shell
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./scripts/bump_version.sh -c "<release_version>"
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```
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2. Push commit and then the tag to trigger the release workflow to create Release with auto generated release notes.
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```shell
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git push origin master # push release commit to khoj repository
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git push origin <release_version> # push release tag to khoj repository
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```
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3. [Optional] Update the Release Notes to highlight new features, fixes and updates
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## Architecture
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## Visualize Codebase
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*[Interactive Visualization](https://mango-dune-07a8b7110.1.azurestaticapps.net/?repo=debanjum%2Fkhoj)*
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## Visualize Khoj Obsidian Plugin Codebase
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## Khoj Obsidian Plugin Implementation
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The plugin implements the following functionality to search your notes with Khoj:
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- [X] Open the Khoj search modal via left ribbon icon or the *Khoj: Search* command
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- [X] Render results as Markdown preview to improve readability
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- [X] Configure Khoj via the plugin setting tab on the settings page
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- Set Obsidian Vault to Index with Khoj. Defaults to all markdown, PDF files in current Vault
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- Set URL of Khoj backend
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- Set Number of Search Results to show in Search Modal
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- [X] Allow reranking of result to improve search quality
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- [X] Allow Finding notes similar to current note being viewed
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