karpet

def agent():
    log_level = (
        logging.DEBUG
        if os.environ.get("DEBUG", "false").lower() == "true"
        else logging.INFO
    )
    http_client.HTTPConnection.debuglevel = 1 if log_level == logging.DEBUG else 0
    logging.basicConfig()
    logging.getLogger().setLevel(log_level)
    requests_log = logging.getLogger("requests.packages.urllib3")

karpet

{
  "normalizedInput": {
    "line1": "753 Sunset Drive",
    "city": "Lawrence",
    "state": "KS",
    "zip": "66044"
  },
  "kind": "civicinfo#representativeInfoResponse",
  "divisions": {
    "ocd-division/country:us": {

karpet

KSVotes.org uses the JavaScript library

https://github.com/szimek/signature_pad

to capture signature and save it as a base64-encoded string in the database.
The image string is then inserted into the registration or AB form as necessary.

You can see how ksvotes implements the library here:

https://github.com/BlueprintKansas/ksvotes.org/blob/master/app/templates/_signature.js

karpet

$ HEAD http://www.kssos.org/elections/18elec/2018_Primary_Election_United_States_House_of_Representatives_results_precinct.xlsx
200 OK
Date: Sat, 01 Dec 2018 19:31:09 GMT
Accept-Ranges: bytes
ETag: "fcfbe1a25f57d41:0"
Server:
Content-Length: 1473835
Content-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Last-Modified: Fri, 28 Sep 2018 19:15:36 GMT
Client-Date: Sat, 01 Dec 2018 19:31:10 GMT

karpet

66002
66006
66007
66008
66010
66012
66013
66014
66015
66016

karpet

form = initialize_form(request.params)
if form.is_valid():
  step = initialize_step(form, session_id)
  step.perform() # do whatever is needed, write to the db
  if step.is_complete():
    redirect_to step.next_step()
  else:
    render_form_for_this_step(request.params) # re-render with form pre-populated
else:
  render_form_for_this_step(request.params) # re-render with form pre-populated

karpet

select s.id, count(rs.route_id) as nroutes
from stops as s left join routes_stops as rs on s.id=rs.stop_id
group by s.id 
order by nroutes desc
limit 1;

karpet

#!/usr/bin/env perl
use strict;
use warnings;
use Dezi::Client;
use Dezi::Doc;

my $BATCH_SIZE = 1000;    # number of docs to buffer before committing.

if ( $#ARGV != 0 ) {
    die "$0 inputfile.tsv";

karpet

package MyAggregator;
use Moose;
extends 'Dezi::Aggregator';

use Dezi::Doc;

sub crawl {
    my ( $self, $inputfile ) = @_;

    open( RF1, $inputfile ) or die "Can't open < $inputfile: $!";

karpet

{

    package Jieba;
    use v5.10;

    sub jieba_tokenize {
        jieba_tokenize_python(shift);
    }

    # TODO: