Getting Start

Install and setup environment

Run the following commands:

python -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -r requirements.txt

Start services

To run this application we need to install Postgres, Elasticsearch and Redis. Instead of installing onto our machine we will docker images.

1. Start Services (use docker image)
   • docker-compose up
2. In a separate terminal activate your virtual env and run the build.py script from the root directory to load the database and create the index.

Start pgsync

Run the following command to sync postgres and elasticsearch.

bootstrap --config /sync/schema.json
pgsync --config /sync/schema.json --daemon

The first command will add a trigger to the table defined in the schema.json file. The second script will run a backgroud daemon monitoring changes in your database and making the necessary changes in your Elasticsearch index. If this is the first time runnning it, it will load all the records.

Logstash

You can also run logstash in the background to monitor changes in the database. This is included in the docker-compose.yml file under the logstash section.

Data

The data is sourced from SAM.gov.

Start Application

In a third terminal we will start the flask application.

1. Start application with flask run
2. Navigate to localhost:5000 and test out by entering company names into the search box.