Service to query all item details, like images, ingredients, attributes and additional info.

• Source: Data sources, it can be a retailer, data provider, laboratory, etc...
• Item: Group of items gathered mostly by GTIN coincidence (previously item)
• Product: Item representation on a retailer's catalogue, as attribute they have: product_id, source, item_uuid (previously item_retailer)
• Clss: Class of attributes
• Attr: Attribute, gathers anything related to a specific item (id, retailer)

1. Install and configure nginx, setup a server that listens to a unix socket named ./catalogue.sock
2. Check that you have an open connection to the db
3. Install virtualenv pip install virtualenv
4. Setup the virtual environment virtualenv env
5. Activate the virtuale environment source env/bin/activate
6. Install python dependencies pip install -r requirements.txt

Set the execution mode of the service through the MODE environment variable

export MODE='<SERVICE|CONSUMER>'

App env vars

export FLASK_APP='app/__init__.py'
export APP_DIR='<home dir of the app: $PWD>'
export APP_NAME='<app name>'
export ENV='<DEV|PROD>'

PostgreSQL DB env vars

export SQL_HOST='<postgresql ip or hostname>'
export SQL_PORT='<postgresql port number>'
export SQL_USER='<postgresql username>'
export SQL_PASSWORD='<postgresql passwd>'
export SQL_DB='<postgresql db name: items>'
export SRV_GEOLOCATION='<url to the geolocation service>'

Consumer env vars

export STREAMER='rabbitmq'
export STREAMER_HOST='<ip or hostname>'
export STREAMER_ROUTING_KEY=''
export STREAMER_EXCHANGE='data'
export STREAMER_EXCHANGE_TYPE='direct'
export STREAMER_USER="<user>"
export STREAMER_PASS="<pass>"
export STREAMER_VIRTUAL_HOST="<vhost>"
export QUEUE_CATALOGUE="<queue>"

Logger env vars

export LOG_LEVEL='<DEBUG|INFO|...>'
export LOG_HOST='<remote logging host>'
export LOG_PORT='<remote logging port>'

. envvars && MODE='SERVICE' $APP_DIR/bin/run.sh

1. Activate virtual environments source env/bin/activate
2. Export environment variables source .envvars
3. Initialize database flask initdb
4. Run gunicorn process gunicorn --workers 3 --bind unix:byprice-item.sock -m 000 wsgi:app

. envvars && MODE='CONSUMER' $APP_DIR/bin/run.sh

• Add suffix '_item' to QUEUE_CATALOGUE environment variable

• Build docker image with ./Dockerfile.item template:

docker build --no-cache -t <amazon prefix>/catalogue_item:dev -f Dockerfile.item .

1. Activate virtual environments source env/bin/activate
2. Export environment variables source .envvars
3. Initialize database flask initdb
4. Run gunicorn process flask consumer

Set the environment variable $MODE to the test the consumer or the web service and then run the following:

source bin/tests.sh

docker run -it --env-file ./<docker-env.file> --expose <psql-port> -p 127.0.0.1:<local-ws-port>:80 -m <384m> --memory-swap <384m> --name <app-name> --entrypoint bash catalogue:latest

ByPrice Copyright (c) 2018

• Populate Ingredients from Past DB of ByPrice
• Populate Brands from Past DB of ByPrice