rendercv/docs/developer_guide/index.md

121 lines
4.0 KiB
Markdown

# Developer Guide
All contributions to RenderCV are welcome!
The source code is thoroughly documented and well-commented, making it an enjoyable read and easy to understand. Also, a flowchart is provided below to help you understand how RenderCV works.
## Getting Started
1. Ensure that you have Python version 3.10 or higher.
2. Install [Hatch](https://hatch.pypa.io/latest/), as it is the project manager for RenderCV. The installation guide for Hatch can be found [here](https://hatch.pypa.io/latest/install/#installation).
3. Clone the repository recursively (because TinyTeX is being used as a submodule) with the following command.
```bash
git clone --recursive https://github.com/sinaatalay/rendercv.git
```
4. Go to the `rendercv` directory.
```bash
cd rendercv
```
5. RenderCV uses three virtual environments:
- `default`: For the development. It contains packages like [Ruff](https://github.com/astral-sh/ruff), [Black](https://github.com/psf/black), etc.
- `docs`: For building the documentation.
- `test`: For testing RenderCV.
Create the virtual environments with the following commands.
```bash
hatch env create default
hatch env create docs
hatch env create test
```
6. To use the virtual environments, either
- Activate one of the virtual environments with the following command.
```bash
hatch shell default
```
- Select one of the virtual environments in your Integrated Development Environment (IDE).
=== "Visual Studio Code"
- Press `Ctrl+Shift+P`.
- Type `Python: Select Interpreter`.
- Select one of the virtual environments created by Hatch.
=== "Other"
To be added.
## How RenderCV works?
The flowchart below illustrates the general operations of RenderCV. A detailed documentation of the source code is available in the [reference](../reference/index.md).
```mermaid
flowchart TD
A[YAML Input File] --parsing with ruamel.yaml package--> B(Python Dictionary)
B --validation with pydantic package--> C((Pydantic Object))
C --> D[LaTeX File]
C --> E[Markdown File]
E --markdown package--> K[HTML FIle]
D --TinyTeX--> L[PDF File]
L --PyMuPDF package--> Z[PNG Files]
AA[(Jinja2 Templates)] --> D
AA[(Jinja2 Templates)] --> E
```
## Available Commands
These commands are defined in the [`pyproject.toml`](https://github.com/sinaatalay/rendercv/blob/main/pyproject.toml) file.
- Format the code with [Black](https://github.com/psf/black):
```bash
hatch run default:format
```
- Lint the code with [Ruff](https://github.com/astral-sh/ruff):
```bash
hatch run default:lint
```
- Sort the imports with [isort](https://github.com/timothycrosley/isort/):
```bash
hatch run default:sort-imports
```
- Run the tests:
```bash
hatch run test:run
```
- Run the tests and generate a coverage report:
```bash
hatch run test:run-and-report
```
- Start the development server for the documentation:
```bash
hatch run docs:serve
```
- Build the documentation:
```bash
hatch run docs:build
```
- Deploy the documentation to GitHub Pages:
```bash
hatch run docs:deploy
```
- Update [schema.json](https://github.com/sinaatalay/rendercv/blob/main/schema.json):
```bash
hatch run docs:update-schema
```
- Update [`examples`](https://github.com/sinaatalay/rendercv/tree/main/examples) folder:
```bash
hatch run docs:update-examples
```
- Update figures of the entry types in the "[Structure of the YAML Input File](https://docs.rendercv.com/user_guide/structure_of_the_yaml_input_file/)":
```bash
hatch run docs:update-entry-figures
```
## About [`pyproject.toml`](https://github.com/sinaatalay/rendercv/blob/main/pyproject.toml)
[`pyproject.toml`](https://github.com/sinaatalay/rendercv/blob/main/pyproject.toml) contains all the metadata, dependencies, and tools required for the project. Please read through the file to understand the project's technical details.