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Implementing PHDC Scrubber #12
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Attempting to extract common elements that will be used in the COGPN service: * Loading datafiles (create_street_types_list, create_address_reference) * Address munging (get_street_info, generate_match_string) * Matching and scoring matches between string and address (get_matches, score_match) Otherwise, if run directly, this module should replicate the PHDC scrubbing script's functionality. **NB** untested, not even run
Also includes some bug fixes discovered while testing.
And an end-to-end test that makes use of it.
Added test case to exercise it
Hardcoded to a possibly over-confident one
* Handling special character names in the street types list * Only taking street numbers if they're in the first half of the address - deals with scenarios where there is a postal code * More debugging log lines in match scoring * Only pass in the postal code when it's a postal code match
phdcScrubber changes Road name to suburb name if not comma separated Minor bug as it is likely that successful geocoding of the address will still place it in the correct suburb (provided resolution below suburb level is not required) |
PhdcScrubber mis-assigning suburb and road type This bug is more important as it could cause the address to be successfully geocoded to the wrong suburb |
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Overview
As per #10 and #11, this PR readies scrubbing code from PHDC for integration into the COGPN servce.
Guided tour:
Testing
Unit Tests
Tests added in this commit are passing
Ad-hoc Testing
Test Script
Added a test script in this commit. This allows the scrubber to be called directly, e.g.
$ python3 bin/phdc_scrubber_test.py --datadir src/scrubbers/phdc_scrubber/resources \ --address "Civic Centre, Hertzog Blvd, Foreshore, Cape Town, 8001"
Output looks like this:
Tested Values
Civic Centre, Hertzog Blvd, Foreshore, Cape Town, 8001
:1 Solomon Tshuku Ave, Site C, Khayelisthsa, Cape Town
:40 Stamen St, Retreat, Cape Town