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Build a better understanding of your data in PostgreSQL.

Project description

Data Fluent for PostgreSQL

Documentation Status license PyPI - Python Version

Build a better understanding of your data in PostgreSQL.

The following shows an example report generated by this tool. It gives the numbers of rows, columns, bytes as well as human-friendly size counts for each table within a given PostgreSQL database.

The Metrics Report

The following shows the row count for every column that represents a date grouped by year and month.

The Time Distribution Report


On Ubuntu 20:

$ wget -qO- \ \
        | sudo apt-key add -
$ echo "deb xenial-pgdg main" \
    | sudo tee /etc/apt/sources.list.d/pgdg.list

$ sudo apt update
$ sudo apt install \
    git \
    python3-pip \
    python3-virtualenv \
    postgresql-13 \
    postgresql-client-13 \

On macOS:

$ brew install \
    git \
    postgresql \

Then, regardless of platform, setup a virtual environment and install this software package.

$ virtualenv ~/.fluency
$ source ~/.fluency/bin/activate
$ python3 -m pip install datafluent

Example Analysis

Clone fivethirtyeight's data repospitory. It has a large number of CSV-formatted datasets they've used for some of their articles and graphics.

$ git clone ~/538data

Make sure you can access a PostgreSQL database on your machine. Here I'm creating an intel database for the mark user on my Ubuntu 20 machine.

$ sudo -u postgres \
    bash -c "psql -c \"CREATE USER mark
                       WITH PASSWORD 'test'

With PostgreSQL access setup, create a database called intel.

$ createdb intel

I'll import one of the datasets within fivethirtyeight's repo. Note, because the dates within this dataset are not formatted in YYYY-MM-DD format, I needed to override the format so that the MM/DD/YYYY format would be read properly.

$ python3 -m pip install csvkit
$ csvsql --db postgresql:///intel \
         --insert ~/538data/congress-generic-ballot/generic_topline_historical.csv \

I'll run the Excel Report Generator:

$ datafluent_pg

The above will connect to postgresql://localhost:5432/intel by default and will produce a fluency.xlsx file with two worksheets: Metrics and Time Distributions.

Further Help

The database URL is passed through to sqlalchemy. Please see their documentation on Database URLs for more information on their syntax and the drivers supported.

If you need to override any parameters in this applcation, please refer to the help documentation generated by typer:

$ datafluent_pg --help
Usage: datafluent [OPTIONS]

  --url TEXT                      [default: postgresql://localhost:5432/intel]
  --output TEXT                   [default: fluency.xlsx]
  --install-completion [bash|zsh|fish|powershell|pwsh]
                                  Install completion for the specified shell.
  --show-completion [bash|zsh|fish|powershell|pwsh]
                                  Show completion for the specified shell, to
                                  copy it or customize the installation.

  --help                          Show this message and exit.

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