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# my messy notes | |
The steps for fully installing Pelias look like this: | |
Decide which datasets and settings will be used | |
* | |
Download appropriate data | |
Download Pelias code, using the appropriate branches | |
Set up Elasticsearch | |
Install the Elasticsearch schema using pelias-schema |
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// read api doc: | |
// http://developer.factual.com/display/docs/Core+API+-+Read | |
var auth = require('./auth.js'); //or however you wanna auth | |
var Factual = require('factual-api'); | |
var factual = new Factual(auth.key, auth.secret); | |
//factual.startDebug(); | |
radius = 25000; | |
limit = 50; |
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//npm install knackhq-client | |
var knack = require('knackhq-client'); | |
knack.authenticate({ apikey: 'edc09ff0-3cb5-11e6-a5db-e797893261f8', appid: '5771a671b3a24ed73cac0a5a' }, function(error) { | |
if (error) { | |
// failed to log in! | |
} | |
}); |
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import requests | |
import json | |
import csv | |
import pandas as pd | |
address_list = 'sample.csv' | |
output_path = 'output.csv' | |
"""establishes the parameters for the api calls. atm they are decalred individually becuase the api needs them in a certain order. | |
this code can be compressed to sort the dict directly """ |
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address | city | state | |
---|---|---|---|
121 N LASALLE ST | CHICAGO | IL 60602 | |
930 W 37TH PL | CHICAGO | IL 60609 |
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127.0.0.1 - - [30/Jun/2016 13:40:44] "POST /call HTTP/1.1" 200 - | |
127.0.0.1 - - [30/Jun/2016 13:45:17] "GET /static/js/lrm-mapzen-0.1.2/leaflet.routing.icons.png HTTP/1.1" 200 - | |
{'status': 'OK', 'main': 2, 'sub': [], 'user': 'default'} | |
127.0.0.1 - - [30/Jun/2016 13:45:17] "POST /getParams HTTP/1.1" 200 - | |
<type 'dict'> | |
{"status": "OK", "main": 2, "sub": [4], "user": "EASHERMA"} | |
<type 'str'> | |
Using: Factual | |
route [{u'lat': 41.81173, u'lng': -87.666227}, {u'lat': 42.03831, u'lng': -88.290742}] | |
BEGIN: |
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all_results | |
run a call using params, | |
from that call, parse and store only the factual id and the POI name. do the page/offset thing to get 500 max records, in chunks of 50. Store these together | |
make another call with the same params, except filter by POI name NOTIN {our stored list} (the factual api dosen't let you filter this way by factual-id, boo) | |
see if we can get that in chunks of 500 | |
do this until no new results are returned | |
store that in all results | |
this seems like it would have to go in order |
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for each in circleset: | |
var circle = L.circle([41.883842,-87.631655], 25000) | |
var bounds = circle.getBounds(); | |
var rect = L.rectangle([bounds['_southWest'], bounds['_northEast']]); |
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inital bounds | |
http://jsfiddle.net/nathansnider/ts4oyyn0/ <--similar concept | |
Just using turf: | |
array of routepoints | |
* http://turfjs.org/docs/#point <--should be an unessary step, including for refrence | |
* either http://turfjs.org/docs/#buffer or http://turfjs.org/docs/#circle |
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{ | |
"type": "FeatureCollection", | |
"features": [{ | |
"type": "Feature", | |
"geometry": { | |
"type": "Point", | |
"coordinates": [-97.904478, 30.208035] | |
}, | |
"properties": { | |
"id": "85893511", |
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