uv-based instructions

Author: shamrin

CONTRIBUTING.md

@@ -8,6 +8,8 @@ You can open pull requests by following the steps:
 
 ## Code Contribution
 
+Prerequisite: install [`uv`](https://docs.astral.sh/uv/).
+
 1. Fork the `datacrunch-python` repo on GitHub.
 
 2. Clone your fork locally:
@@ -17,11 +19,10 @@ You can open pull requests by following the steps:
    cd datacrunch-python
    ```
 
-3. Create virtual environment & install this local copy into the virtual environment:
+3. Set up local environment and install dependencies:
 
    ```bash
-   python3 -m venv datacrunch_env && source ./datacrunch_env/bin/activate
-   python3 setup.py develop
+   uv sync
    ```
 
 4. Create a new branch:
@@ -40,27 +41,20 @@ You can open pull requests by following the steps:
 
 5. Make your local changes
 
-6. Install dependencies for test:
-
-   ```bash
-   pip3 install -e .[test]
-   pip3 install -U pytest
-   ```
-
-7. Run tests:
+6. Run tests:
 
    ```bash
-   pytest
+   uv run pytest
    ```
 
-8. Commit and push:
+7. Commit and push:
 
    ```bash
    git commit .am "Detailed commit message"
    git push origin {branch-name}
    ```
 
-9. Submit a pull request in GitHub.
+8. Submit a pull request in GitHub.
 
 ## Pull Request Guidelines
 

README.md

@@ -16,10 +16,14 @@ DataCrunch's Public API documentation [is available here](https://api.datacrunch
 
 ## Getting Started - Using the SDK:
 
-- Install via pip:
+- Install:
 
   ```bash
+  # via pip
   pip3 install datacrunch
+
+  # via uv
+  uv add datacrunch
   ```
 
 - Generate your client credentials - [instructions in the public API docs](https://api.datacrunch.io/v1/docs#description/quick-start-guide).
@@ -84,29 +88,18 @@ DataCrunch's Public API documentation [is available here](https://api.datacrunch
 
 ### Setting up the local development environment
 
+Prerequisite: install [`uv`](https://docs.astral.sh/uv/).
+
 - Clone the repository:
 
   ```bash
   git clone
   ```
 
-- Create local virtual environment:
+- Create local virtual environment and install dependencies:
 
   ```bash
-  python3 -m venv datacrunch_env && source ./datacrunch_env/bin/activate
-  ```
-
-  or if using [fish shell](https://fishshell.com/):
-
-  ```fish
-  python3 -m venv datacrunch_env && source ./datacrunch_env/bin/activate.fish
-  ```
-
-- Install Dependencies:
-
-  ```bash
-  pip3 install -e .[test]
-  pip3 install -U pytest
+  uv sync
   ```
 
 ### Running Tests
@@ -116,20 +109,21 @@ We use pytest for testing.
 - To execute all tests
 
   ```bash
-  pytest
+  uv run pytest
   ```
 
 - To execute a single test file
 
   ```bash
-  pytest ./tests/unit_tests/test_file.py
+  uv run pytest ./tests/unit_tests/test_file.py
   ```
 
 ### Local Manual Testing
 
-Create this file in the root directory of the project:
+Create a file in the root directory of the project:
 
 ```python
+# example.py
 from datacrunch.datacrunch import DataCrunchClient
 
 CLIENT_SECRET = 'secret'
@@ -139,6 +133,12 @@ CLIENT_ID = 'your-id'
 datacrunch = DataCrunchClient(CLIENT_ID, CLIENT_SECRET, base_url='http://localhost:3001/v1')
 ```
 
+Run it:
+
+```bash
+uv run python example.py
+```
+
 ### Generating the documentation
 
 If added a new service, create a documentation template under api/services for that service.