nycdb 0.3.1

Database of NYC housing data

# NYCDB

a tool for building a database of NYC housing data

This is a Python library and cli tool for installing, updating and managing NYCDB, a postgres database of NYC Housing Data.

For more background information on this project and links to download copies of full database dump visit: https://github.com/nycdb/nycdb. We use the term nycdb to refer to both the python software and the running copy of the postgres database.

## Using the cli tool

You will need python 3.6+ and Postgres. The latest version can be installed from pypi with pip: python3 -m pip install nycdb

If the installation is successful, you can view a summary of the tool’s options by running nycdb –help

To print a list of datasets: ` nycdb –list-datasets`

nycdb’s main job is to download datasets and import them into postgres. It does not manage the database for you. You can use the flags -U/–user, -D/–database, -P/–password, and -H/–host to instruct nycdb to connect to the correct database. See nycdb –help for the defaults.

Example: downloading, loading, and verifying the dataset hpd_violations:

` sh nycdb --download hpd_violations nycdb --load hpd_violations nycdb --verify hpd_violations `

You can also verify all datasets: ` nycdb –verify-all `

By default the downloaded data files are is stored in ./data. Use –root-dir to change the location of the data directory.

You can export a .sql file for any dataset by using the –dump command

## Development

There are two development workflows: one using python virtual environments and one using docker.

### Using docker and docker-compose

Clone the nycdb repository to your computer, open the terminal, and set your working directory to the location of the cloned nycdb folder using cd <filepath>

To get started all you have to do is run docker-compose up.

On the first run Docker will take longer to downloads and build the images. It will start a Postgres server on port 5432 of your local machineYou can also press <kbd>CTRL</kbd>-<kbd>C</kbd> at any point to stop the server.

In a separate terminal, you will be able to now use the nycdb cli: docker-compose run nycdb –help.

You will not have any data loaded when you create your local instance of the db. Use functions like –download and –load to add datasets to your local database, for example: docker-compose run nycdb –download <dataset>

You can also open a python3 shell: docker-compose run –entrypoint=python3 nycdb or run the test suit docker-compose run –entrypoint=”pytest tests” nycdb

You may also develop on nycdb itself:

• Any changes you make to the tool’s source code will automatically be reflected in future invocations of nycdb and the test suite.

• The postgres database server is forwarded to localhost:5432 which you can connect to via a desktop client if you like.

• If you don’t have a desktop Postgres client, you can always run nycdb –dbshell to interactively inspect the database with [psql](http://postgresguide.com/utilities/psql.html).

To update the database after adding new packages or dev dependencies, just run docker-compose up –build –force-recreate –no-deps. This command will take a bit longer than the regular docker-compose up command, but will reinstall packages within the docker container without removing any downloaded files or database data from the docker database.

To stop the database run docker-compose down. The downloaded files and database data are stored in docker volumes and are not automatically removed.

However, if you ever want to wipe the database, run docker-compose down -v.

### Python3 virtual environments

If you have postgres installed separately, you can use this alternative method without docker:

Setup and active a virtual environment:

` sh python3 -m venv venv source venv/bin/activate `

Install nycdb: ` pip install -e ./src`

As long as the virtual environment is activated, you can use nycdb directly in your shell.

### Adding New Datasets

See the [guide here](ADDING_NEW_DATASETS.md) for the steps to add a new dataset