address-parser microservice

A REST endpoint consuming an address string and returning a json with address fields:

curl -X POST "http://127.0.0.1:5000/parse" -H  "accept: application/json" -H  "Content-Type: application/json" -d "{  \"address\": \"5760 Teredo St., Sechelt, BC, Canada, VON 3A0\"}"
    {
        "city": "Sechelt",
        "state": "BC",
        "street_address": "5760, Teredo St.",
        "postcode": "VON 3A0",
        "country": "Canada",
    },

Use Locally

Install libpostal
Instal deps with pipenv install && pipenv shell
Run flask application export FLASK_APP=api.py && flask run
Test at http://127.0.0.1:5000/swagger-ui/

Deploying on AWS Lambda

Libpostal requires 2GB on disk and in memory for the model, so the AWS Lambda deployment consists of 2 steps:

Getting libpostal files on shared EFS
Configuring pypostal from Lambda

Getting libpostal files on shared EFS

Create EFS, Amazon Linux 2 AMI with attached EFS:

Use an instance with 4GB memory.
Make sure VPC has NFS inbound rule and DNS resolution

Install libpostal and copy data files (datadir) and library files (*.so and pkgconfig) from /usr/local/lib to EFS

Configuring library from Lambda and Lambda itself

Build pypostal from master for Lambda

docker build -t pypostal . && docker create -ti --name dummy pypostal bash && docker cp dummy:/postal/postal ./ && docker rm dummy

Deploy Lambda with zappa in the same region:

don't forget to add Lambda's pypostal
Max out memory
point to libpostal files on EFS:

LD_LIBRARY_PATH /mnt/efs/libpostal_lib/lib

LIBPOSTAL_DATA_DIR /mnt/efs/libpostal_model/libpostal

PKG_CONFIG_PATH /mnt/efs/libpostal_lib/lib/pkgconfig

Add EFS to Lambda:

Use the same VPC

configure subnets for public access

curl -X POST "https://fe5k5zd4k4.execute-api.us-west-2.amazonaws.com/dev/parse" -H "accept: application/json" -H "Content-Type: application/json" -d "{ \"address\": \"5760 Teredo St., Sechelt, BC, Canada, VON 3A0\"}"

License

manycoding/address-parser

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