ftm-geocode 0.0.3

Bath parse and geocode addresses from followthemoney entities

ftm-geocoder

Batch parse and geocode addresses from followthemoney entities. Simply geocoding just address strings works as well, of course.

There are as well some parsing / normalization helpers.

Features

• Parse/normalize addresses via libpostal
• Geocoding via geopy
• Cache geocoding results in a sql database (using dataset)
• Optional fallback geocoders when preferred geocoder doesn't match
• Create, update and merge Address entities for ftm data

Usage

command line

The command line interface is designed for piping input / output streams, but for each command a -i <input_file> and -o <output_file> can be used as well.

Geocode an input stream of ftm entities with nominatim and google maps as fallback (geocoders are tried in the given order):

cat entitis.ftm.ijson | ftmgeo geocode -g nominatim -g google > entities_geocoded.ftm.ijson

This looks for the address prop on input entities and creates address entities with reference to the input entities. The output contains all entities from the input stream plus newly created addresses.

If an input entity is itself an Address entity, it will be geocoded as well and their props (country, city, ...) will be merged with the geocoder result.

During the process, addresses are parsed and normalized and looked up in the address cache database before actual geocoding. After geocoding, new addresses are added to the cache database.

Address ids will be rewritten based on normalization (addressEntity refs are updated on other entities), to keep the original ids, add the flag --no-rewrite-ids

Geocoders can be set via GEOCODERS and default to nominatim

geocoding just address strings

csv format (for all csv input streams) first column address, optional second column country (name or code) and third language for postal context

To ftm address entities:

cat addresses.csv | ftmgeo geocode --input-format=csv > addresses.ftm.ijson

To csv:

cat addresses.csv | ftmgeo geocode --input-format=csv --output-format=csv > addresses.csv

formatting / normalization

cat addresses.txt | ftmgeo format-line > clean_addresses.csv

Generate address entities (without geocoding):

cat entities.ftm.ijson | ftmgeo map > entities.ftm.ijson
cat addresses.csv | ftmgeo map --input-format=csv > addresses.ftm.ijson

database cache

During geocoding, addresses are first looked up in the local cache, and new geocoding results are added.

Ignore cache during geocoding (new results are still written to it):

ftmgeo geocode --no-cache ...

Export cache:

ftmgeo cache iterate > geocoded_addresses.ftm.ijsonl
ftmgeo cache iterate --output-format=csv > geocoded_addresses.csv

Populate cache:

csv input: address_id,canonical_id,original_line,result_line,country,lat,lon,geocoder,geocoder_place_id

optional field: geocoder_raw - json of geocoder response

cat geocoded_addresses.csv | ftmgeo cache populate

Configuration

geocoders

Default geocoders: env var GEOCODERS They are used in the given order

Make sure to configure the geocoders as needed for geopy (endpoints, api keys, ...):

export FTMGEO_<GEOCODERNAME>_<SETTING>=...

Persistent cache

The cache database is set via FTM_STORE_URI (so it is the same as the ftm store, if any, otherwise it defaults to sqlite:///cache.db

Installation

Required external is libpostal, see installation instructions there.

Once libpostal is installed on your system, you can install:

pip install ftm-geocoder

Verify that this works without errors:

ftmgeo --help

echo "Cowley Road, Cambridge, UK" | ftmgeo geocode --input-format=csv --no-header

Testing

make install
make test