DSSG2024_transit_equity

Transit equity public code and documentation

Website Link: DSSG2024_transit_equity

Environment Setup

To set up a Conda environment using the environment.yaml file, follow these steps:

1. Open a terminal or command prompt.

2. Navigate to the directory where the environment.yaml file is located. In this repository, it would be the root folder.

   Note: Switch to the main branch.

3. Run the following command to create the Conda environment:

   conda env create -f environment.yaml
   

   This command will read the environment.yaml file and create a new Conda environment with the specified dependencies.

4. Once the environment is created, activate it by running the following command:

   conda activate orca
   

   (If the name in environment.yaml has been changed, update the above environment name accordingly)

5. You can now proceed with running your notebooks or any other tasks within the activated Conda environment.

Remember to deactivate the environment when you're done by running conda deactivate.

Installing Package Locally

(This section assumes that the conda environmet has been set up in the way given in here)

1. Activate the environment set up in here

2. Navigate to the root of this repository.

3. Run the following command to install the transit-equity package in interactive mode without dependencies:

   pip install --no-deps -e .
   

Extra context given in the discussion thread of the Pull Request 4

Using dotenv

To use dotenv for managing environment variables, follow these steps:

1. Create a .env file in the root folder of your project.

2. Add your environment variables to the .env file in the following format: VARIABLE_NAME=VALUE.

   Refer to .env.example to know which environment variables to add to .env

3. In your Python code, import the dotenv module and load the environment variables from the .env file using the following code:

   from dotenv import load_dotenv
   
   load_dotenv()

   Generally, you would want to provide the dotenv path while loading the environment. For example:

   path_to_env = '<path_to_env_file>'
   load_dotenv(dotenv_path=path_to_env)

4. You can now access the environment variables in your code using os.getenv('VARIABLE_NAME').

   Remember to add the .env file to your .gitignore to keep your sensitive information secure.

Example Usage

Once the Python environment has been setup, and the env file is loaded, you can import a method and utilize it:

1. Import the necessary modules/methods in your Python code:

   from transit_equity.utils.db_helpers import get_automap_base_with_views

2. Call the method function with the required arguments:

   from sqlalchemy import create_engine
   engine = create_engine('postgresql://user:password@localhost:5432/dbname')
   Base = get_automap_base_with_views(engine=engine, schema='orca')
   print(type(Base))   # <class 'sqlalchemy.ext.automap.AutomapBase'>