Merge pull request #458 from tomalrussell/fix/375-attribution

Highlight attribution requirements
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Tom Russell 2019-11-12 11:00:19 +00:00 committed by GitHub
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5 changed files with 157 additions and 10 deletions

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@ -9,14 +9,25 @@ const ContactPage = () => (
</h1>
<p> Colouring London has been designed as a sustainable, low-cost model for knowledge exchange/open data platforms able to be reproduced by other towns and cities using our open platform code.</p>
<p> It is being developed by a small, dedicated team at UCL. We are unable to answer individual queries but welcome constructive comments on how to improve the site, and on other types of data and new features you might like to see.</p>
<p> It is being developed by a small, dedicated team at UCL. We are unable to answer individual queries but welcome constructive comments on how to improve the site, and on other types of data and new features you might like to see.</p>
<p> You can send us comments or ask questions on our discussion threads at <a href="https://discuss.colouring.london/">https://discuss.colouring.london/</a>.</p>
<p> To view our technical site and platform code please visit Github at: <a href="https://github.com/tomalrussell/colouring-london">https://github.com/tomalrussell/colouring-london</a>.</p>
<p>For press enquiries please contact the Bartlett Press and Communications team at architecture@ucl.ac.uk.</p>
<p>For press enquiries please contact the Bartlett Press and Communications team at <a href="mailto:architecture@ucl.ac.uk">architecture@ucl.ac.uk</a></p>
<p>
If you capture images from the maps on Colouring London, please credit our
contributors (who collected the data) and Ordnance Survey
(who provided the basemaps and building geometries) as follows:
</p>
<p>
<pre><code>
Colouring London https://colouring.london Building attribute data is © Colouring London contributors. Maps contain OS data © Crown copyright: OS Maps baselayers and building outlines.
</code></pre>
</p>
<hr />
<p>
<img className="d-block mx-auto" src="images/logo-cl.png"></img>
</p>

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@ -1,7 +1,7 @@
import React, { FunctionComponent } from 'react';
import { dateReviver } from '../../helpers';
import { NavLink } from 'react-router-dom';
import { Link } from 'react-router-dom';
interface ExtractViewModel {
extract_id: number;
@ -44,8 +44,22 @@ export default class DataExtracts extends React.Component<{}, DataExtractsState>
<article>
<section className="main-col">
<h1 className="h2">Open data extracts</h1>
<p>Choose one of the links below to download an archive containing the open data collected on the Colouring London platform</p>
<p>By downloading data extracts from this site, you agree to the <NavLink to="/data-accuracy.html">data accuracy agreement </NavLink> and the <NavLink to="/ordnance-survey-uprn.html">Ordnance Survey terms of UPRN usage</NavLink>.</p>
<p>
Choose one of the links below to download an archive containing the open data collected on the Colouring London platform
</p>
<p>
Colouring London contributions are open data, licensed under the <a href="http://opendatacommons.org/licenses/odbl/">Open Data Commons Open Database License</a> (ODbL) by Colouring London contributors.
</p>
<p>
You are free to copy, distribute, transmit and adapt our data, as long as you credit Colouring London and our contributors. If you alter or build upon our data, you may distribute the result only under the same licence.
</p>
<p>
Choose one of the links below to download an archive containing the open data collected on the Colouring London platform.
</p>
<p>
By downloading data extracts from this site, you agree to the <Link to="/data-accuracy.html">data accuracy agreement</Link> and the <Link to="/ordnance-survey-uprn.html">Ordnance Survey terms of UPRN usage</Link>.
</p>
{
this.state.extracts == undefined ?
<p>Loading extracts...</p> :

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@ -17,11 +17,18 @@ const Welcome = () => (
volunteers of all ages and abilities to test and provide feedback on the site as we
build it.
</p>
<p className="lead">
All of the data we collect is made <Link to="/data-extracts.html">openly available</Link> &ndash;
please read our <a href="https://www.pages.colouring.london/data-ethics">data ethics policy</a> and
credit Colouring London if you use or share our maps or data.
</p>
<Link to="/view/categories"
className="btn btn-outline-dark btn-lg btn-block">
Start Colouring Here!
</Link>
<p>
<img src="images/supporter-logos.png" alt="Colouring London collaborating organisations: The Bartlett UCL, Ordnance Survey, Historic England, Greater London Authority" />
</p>
</div>
);

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@ -107,11 +107,17 @@ class MyAccountPage extends Component<MyAccountPageProps, MyAccountPageState> {
<h1 className="h1">Welcome, {this.props.user.username}!</h1>
<p>
Colouring London is under active development, Please <a href="https://discuss.colouring.london/">discuss
Colouring London is under active development. Please <a href="https://discuss.colouring.london/">discuss
suggestions for improvements</a> and <a
href="https://github.com/tomalrussell/colouring-london/issues">
report issues or problems</a>.
</p>
<p>
For reference, here are the <Link
to="/privacy-policy.html">privacy policy</Link>, <Link
to="/contributor-agreement.html">contributor agreement</Link> and <Link
to="/data-accuracy.html">data accuracy agreement</Link>.
</p>
<ErrorBox msg={this.state.error} />
<form onSubmit={this.handleLogout}>

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@ -0,0 +1,109 @@
"""Join csv data to buildings
Example usage (replace URL with test/staging/localhost as necessary, API key with real key for
the appropriate site):
python load_csv_to_staging.py \
https://clstaging.casa.ucl.ac.uk \
a0a00000-0a00-0aaa-a0a0-0000aaaa0000 \
data.csv
This script uses the HTTP API, and can process CSV files which identify buildings by id, TOID,
UPRN.
The process:
- assume first line of the CSV is a header, where column names are either
- building identifiers - one of:
- building_id
- toid
- uprn
- building data field names
- read through lines of CSV:
- use building id if provided
- else lookup by toid
- else lookup by uprn
- else locate building by representative point
- update building
TODO extend to allow latitude,longitude or easting,northing columns and lookup by location.
"""
import csv
import json
import os
import sys
import requests
session = requests.Session()
session.verify = False
def main(base_url, api_key, source_file):
"""Read from file, update buildings
"""
with open(source_file, 'r') as source:
reader = csv.DictReader(source)
for line in reader:
building_id = find_building(line, base_url)
if building_id is None:
continue
response_code, response_data = update_building(building_id, line, api_key, base_url)
if response_code != 200:
print('ERROR', building_id, response_code, response_data)
def update_building(building_id, data, api_key, base_url):
"""Save data to a building
"""
r = requests.post(
"{}/api/buildings/{}.json".format(base_url, building_id),
params={'api_key': api_key},
json=data,
verify=False
)
print(r)
return r.status_code, r.json()
def find_building(data, base_url):
if 'toid' in data:
building_id = find_by_reference(base_url, 'toid', data['toid'])
if building_id is not None:
print("match_by_toid", data['toid'], building_id)
return building_id
if 'uprn' in data:
building_id = find_by_reference(base_url, 'uprn', data['uprn'])
if building_id is not None:
print("match_by_uprn", data['uprn'], building_id)
return building_id
print("no_match", data)
return None
def find_by_reference(base_url, ref_key, ref_id):
"""Find building_id by TOID or UPRN
"""
r = requests.get("{}/api/buildings/reference".format(base_url), params={
'key': ref_key,
'id': ref_id,
},
verify=False
)
buildings = r.json()
if buildings and 'error' not in buildings and len(buildings) == 1:
building_id = buildings[0]['building_id']
else:
building_id = None
return building_id
if __name__ == '__main__':
try:
url, api_key, filename = sys.argv[1], sys.argv[2], sys.argv[3]
except IndexError:
print(
"Usage: {} <URL> <api_key> ./path/to/data.csv".format(
os.path.basename(__file__)
))
exit()
main(url, api_key, filename)