You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
opensensmapR/inst/doc/osem-serialization.html

425 lines
70 KiB
HTML

<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
<title>Using openSensMapr Caching Feature</title>
<script type="text/javascript">
window.onload = function() {
var imgs = document.getElementsByTagName('img'), i, img;
for (i = 0; i < imgs.length; i++) {
img = imgs[i];
// center an image if it is the only element of its parent
if (img.parentElement.childElementCount === 1)
img.parentElement.style.textAlign = 'center';
}
};
</script>
<!-- Styles for R syntax highlighter -->
<style type="text/css">
pre .operator,
pre .paren {
color: rgb(104, 118, 135)
}
pre .literal {
color: #990073
}
pre .number {
color: #099;
}
pre .comment {
color: #998;
font-style: italic
}
pre .keyword {
color: #900;
font-weight: bold
}
pre .identifier {
color: rgb(0, 0, 0);
}
pre .string {
color: #d14;
}
</style>
<!-- R syntax highlighter -->
<script type="text/javascript">
var hljs=new function(){function m(p){return p.replace(/&/gm,"&amp;").replace(/</gm,"&lt;")}function f(r,q,p){return RegExp(q,"m"+(r.cI?"i":"")+(p?"g":""))}function b(r){for(var p=0;p<r.childNodes.length;p++){var q=r.childNodes[p];if(q.nodeName=="CODE"){return q}if(!(q.nodeType==3&&q.nodeValue.match(/\s+/))){break}}}function h(t,s){var p="";for(var r=0;r<t.childNodes.length;r++){if(t.childNodes[r].nodeType==3){var q=t.childNodes[r].nodeValue;if(s){q=q.replace(/\n/g,"")}p+=q}else{if(t.childNodes[r].nodeName=="BR"){p+="\n"}else{p+=h(t.childNodes[r])}}}if(/MSIE [678]/.test(navigator.userAgent)){p=p.replace(/\r/g,"\n")}return p}function a(s){var r=s.className.split(/\s+/);r=r.concat(s.parentNode.className.split(/\s+/));for(var q=0;q<r.length;q++){var p=r[q].replace(/^language-/,"");if(e[p]){return p}}}function c(q){var p=[];(function(s,t){for(var r=0;r<s.childNodes.length;r++){if(s.childNodes[r].nodeType==3){t+=s.childNodes[r].nodeValue.length}else{if(s.childNodes[r].nodeName=="BR"){t+=1}else{if(s.childNodes[r].nodeType==1){p.push({event:"start",offset:t,node:s.childNodes[r]});t=arguments.callee(s.childNodes[r],t);p.push({event:"stop",offset:t,node:s.childNodes[r]})}}}}return t})(q,0);return p}function k(y,w,x){var q=0;var z="";var s=[];function u(){if(y.length&&w.length){if(y[0].offset!=w[0].offset){return(y[0].offset<w[0].offset)?y:w}else{return w[0].event=="start"?y:w}}else{return y.length?y:w}}function t(D){var A="<"+D.nodeName.toLowerCase();for(var B=0;B<D.attributes.length;B++){var C=D.attributes[B];A+=" "+C.nodeName.toLowerCase();if(C.value!==undefined&&C.value!==false&&C.value!==null){A+='="'+m(C.value)+'"'}}return A+">"}while(y.length||w.length){var v=u().splice(0,1)[0];z+=m(x.substr(q,v.offset-q));q=v.offset;if(v.event=="start"){z+=t(v.node);s.push(v.node)}else{if(v.event=="stop"){var p,r=s.length;do{r--;p=s[r];z+=("</"+p.nodeName.toLowerCase()+">")}while(p!=v.node);s.splice(r,1);while(r<s.length){z+=t(s[r]);r++}}}}return z+m(x.substr(q))}function j(){function q(x,y,v){if(x.compiled){return}var u;var s=[];if(x.k){x.lR=f(y,x.l||hljs.IR,true);for(var w in x.k){if(!x.k.hasOwnProperty(w)){continue}if(x.k[w] instanceof Object){u=x.k[w]}else{u=x.k;w="keyword"}for(var r in u){if(!u.hasOwnProperty(r)){continue}x.k[r]=[w,u[r]];s.push(r)}}}if(!v){if(x.bWK){x.b="\\b("+s.join("|")+")\\s"}x.bR=f(y,x.b?x.b:"\\B|\\b");if(!x.e&&!x.eW){x.e="\\B|\\b"}if(x.e){x.eR=f(y,x.e)}}if(x.i){x.iR=f(y,x.i)}if(x.r===undefined){x.r=1}if(!x.c){x.c=[]}x.compiled=true;for(var t=0;t<x.c.length;t++){if(x.c[t]=="self"){x.c[t]=x}q(x.c[t],y,false)}if(x.starts){q(x.starts,y,false)}}for(var p in e){if(!e.hasOwnProperty(p)){continue}q(e[p].dM,e[p],true)}}function d(B,C){if(!j.called){j();j.called=true}function q(r,M){for(var L=0;L<M.c.length;L++){if((M.c[L].bR.exec(r)||[null])[0]==r){return M.c[L]}}}function v(L,r){if(D[L].e&&D[L].eR.test(r)){return 1}if(D[L].eW){var M=v(L-1,r);return M?M+1:0}return 0}function w(r,L){return L.i&&L.iR.test(r)}function K(N,O){var M=[];for(var L=0;L<N.c.length;L++){M.push(N.c[L].b)}var r=D.length-1;do{if(D[r].e){M.push(D[r].e)}r--}while(D[r+1].eW);if(N.i){M.push(N.i)}return f(O,M.join("|"),true)}function p(M,L){var N=D[D.length-1];if(!N.t){N.t=K(N,E)}N.t.lastIndex=L;var r=N.t.exec(M);return r?[M.substr(L,r.index-L),r[0],false]:[M.substr(L),"",true]}function z(N,r){var L=E.cI?r[0].toLowerCase():r[0];var M=N.k[L];if(M&&M instanceof Array){return M}return false}function F(L,P){L=m(L);if(!P.k){return L}var r="";var O=0;P.lR.lastIndex=0;var M=P.lR.exec(L);while(M){r+=L.substr(O,M.index-O);var N=z(P,M);if(N){x+=N[1];r+='<span class="'+N[0]+'">'+M[0]+"</span>"}else{r+=M[0]}O=P.lR.lastIndex;M=P.lR.exec(L)}return r+L.substr(O,L.length-O)}function J(L,M){if(M.sL&&e[M.sL]){var r=d(M.sL,L);x+=r.keyword_count;return r.value}else{return F(L,M)}}function I(M,r){var L=M.cN?'<span class="'+M.cN+'">':"";if(M.rB){y+=L;M.buffer=""}else{if(M.eB){y+=m(r)+L;M.buffer=""}else{y+=L;M.buffer=r}}D.push(M);A+=M.r}function G(N,M,Q){var R=D[D.length-1];if(Q){y+=J(R.buffer+N,R);return false}var P=q(M,R);if(P){y+=J(R.buffer+N,R);I(P,M);return P.rB}var L=v(D.
hljs.initHighlightingOnLoad();
</script>
<style type="text/css">
body, td {
font-family: sans-serif;
background-color: white;
font-size: 13px;
}
body {
max-width: 800px;
margin: auto;
padding: 1em;
line-height: 20px;
}
tt, code, pre {
font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Monaco, monospace;
}
h1 {
font-size:2.2em;
}
h2 {
font-size:1.8em;
}
h3 {
font-size:1.4em;
}
h4 {
font-size:1.0em;
}
h5 {
font-size:0.9em;
}
h6 {
font-size:0.8em;
}
a:visited {
color: rgb(50%, 0%, 50%);
}
pre, img {
max-width: 100%;
}
pre {
overflow-x: auto;
}
pre code {
display: block; padding: 0.5em;
}
code {
font-size: 92%;
border: 1px solid #ccc;
}
code[class] {
background-color: #F8F8F8;
}
table, td, th {
border: none;
}
blockquote {
color:#666666;
margin:0;
padding-left: 1em;
border-left: 0.5em #EEE solid;
}
hr {
height: 0px;
border-bottom: none;
border-top-width: thin;
border-top-style: dotted;
border-top-color: #999999;
}
@media print {
* {
background: transparent !important;
color: black !important;
filter:none !important;
-ms-filter: none !important;
}
body {
font-size:12pt;
max-width:100%;
}
a, a:visited {
text-decoration: underline;
}
hr {
visibility: hidden;
page-break-before: always;
}
pre, blockquote {
padding-right: 1em;
page-break-inside: avoid;
}
tr, img {
page-break-inside: avoid;
}
img {
max-width: 100% !important;
}
@page :left {
margin: 15mm 20mm 15mm 10mm;
}
@page :right {
margin: 15mm 10mm 15mm 20mm;
}
p, h2, h3 {
orphans: 3; widows: 3;
}
h2, h3 {
page-break-after: avoid;
}
}
</style>
</head>
<body>
<p>It may be useful to download data from openSenseMap only once.
For reproducible results, the data could be saved to disk, and reloaded at a
later point.</p>
<p>This avoids..</p>
<ul>
<li>changed results for queries without date parameters,</li>
<li>unnecessary wait times,</li>
<li>risk of API changes / API unavailability,</li>
<li>stress on the openSenseMap-server.</li>
</ul>
<p>This vignette shows how to use this built in <code>opensensmapr</code> feature, and
how to do it yourself, if you want to store to other data formats.</p>
<h2>Using openSensMapr Caching Feature</h2>
<p>All data retrieval functions of <code>opensensmapr</code> have a built in caching feature,
which serializes an API response to disk.
Subsequent identical requests will then return the serialized data instead of making
another request.
To do so, each request is given a unique ID based on its parameters.</p>
<p>To use this feature, just add a path to a directory to the <code>cache</code> parameter:</p>
<pre><code class="r">b = osem_boxes(cache = tempdir())
list.files(tempdir(), pattern = &#39;osemcache\\..*\\.rds&#39;)
</code></pre>
<pre><code>## [1] &quot;osemcache.c54710f66b662e29dd86b089962b0f598e47eddb.rds&quot;
</code></pre>
<pre><code class="r"># the next identical request will hit the cache only!
b = osem_boxes(cache = tempdir())
# requests without the cache parameter will still be performed normally
b = osem_boxes()
</code></pre>
<p>You can maintain multiple caches simultaneously which allows to store only
serialized data related to a script in its directory:</p>
<pre><code class="r">cacheDir = getwd() # current working directory
b = osem_boxes(cache = cacheDir)
# the next identical request will hit the cache only!
b = osem_boxes(cache = cacheDir)
</code></pre>
<p>To get fresh results again, just call <code>osem_clear_cache()</code> for the respective cache:</p>
<pre><code class="r">osem_clear_cache() # clears default cache
</code></pre>
<pre><code>## [1] TRUE
</code></pre>
<pre><code class="r">osem_clear_cache(getwd()) # clears a custom cache
</code></pre>
<pre><code>## [1] TRUE
</code></pre>
<h2>Custom (De-) Serialization</h2>
<p>If you want to roll your own serialization method to support custom data formats,
here&#39;s how:</p>
<pre><code class="r"># this section requires:
library(opensensmapr)
library(jsonlite)
library(readr)
# first get our example data:
boxes = osem_boxes(grouptag = &#39;ifgi&#39;)
measurements = osem_measurements(boxes, phenomenon = &#39;PM10&#39;)
</code></pre>
<p>If you are paranoid and worry about <code>.rds</code> files not being decodable anymore
in the (distant) future, you could serialize to a plain text format such as JSON.
This of course comes at the cost of storage space and performance.</p>
<pre><code class="r"># serializing senseBoxes to JSON, and loading from file again:
write(jsonlite::serializeJSON(measurements), &#39;boxes.json&#39;)
boxes_from_file = jsonlite::unserializeJSON(readr::read_file(&#39;boxes.json&#39;))
</code></pre>
<p>Both methods also persist the R object metadata (classes, attributes).
If you were to use a serialization method that can&#39;t persist object metadata, you
could re-apply it with the following functions:</p>
<pre><code class="r"># note the toJSON call
write(jsonlite::toJSON(measurements), &#39;boxes_bad.json&#39;)
boxes_without_attrs = jsonlite::fromJSON(&#39;boxes_bad.json&#39;)
boxes_with_attrs = osem_as_sensebox(boxes_without_attrs)
class(boxes_with_attrs)
</code></pre>
<pre><code>## [1] &quot;sensebox&quot; &quot;data.frame&quot;
</code></pre>
<p>The same goes for measurements via <code>osem_as_measurements()</code>.</p>
<h2>Workflow for reproducible code</h2>
<p>For truly reproducible code you want it to work and return the same results &ndash;
no matter if you run it the first time or a consecutive time, and without making
changes to it.</p>
<p>Therefore we need a wrapper around the save-to-file &amp; load-from-file logic.
The following examples show a way to do just that, and where inspired by
<a href="https://github.com/nuest/sensebox-binder">this reproducible analysis by Daniel Nuest</a>.</p>
<pre><code class="r"># offline logic
osem_offline = function (func, file, format=&#39;rds&#39;, ...) {
# deserialize if file exists, otherwise download and serialize
if (file.exists(file)) {
if (format == &#39;json&#39;)
jsonlite::unserializeJSON(readr::read_file(file))
else
readRDS(file)
} else {
data = func(...)
if (format == &#39;json&#39;)
write(jsonlite::serializeJSON(data), file = file)
else
saveRDS(data, file)
data
}
}
# wrappers for each download function
osem_measurements_offline = function (file, ...) {
osem_offline(opensensmapr::osem_measurements, file, ...)
}
osem_boxes_offline = function (file, ...) {
osem_offline(opensensmapr::osem_boxes, file, ...)
}
osem_box_offline = function (file, ...) {
osem_offline(opensensmapr::osem_box, file, ...)
}
osem_counts_offline = function (file, ...) {
osem_offline(opensensmapr::osem_counts, file, ...)
}
</code></pre>
<p>Thats it! Now let&#39;s try it out:</p>
<pre><code class="r"># first run; will download and save to disk
b1 = osem_boxes_offline(&#39;mobileboxes.rds&#39;, exposure=&#39;mobile&#39;)
# consecutive runs; will read from disk
b2 = osem_boxes_offline(&#39;mobileboxes.rds&#39;, exposure=&#39;mobile&#39;)
class(b1) == class(b2)
</code></pre>
<pre><code>## [1] TRUE TRUE
</code></pre>
<pre><code class="r"># we can even omit the arguments now (though thats not really the point here)
b3 = osem_boxes_offline(&#39;mobileboxes.rds&#39;)
nrow(b1) == nrow(b3)
</code></pre>
<pre><code>## [1] TRUE
</code></pre>
<pre><code class="r"># verify that the custom sensebox methods are still working
summary(b2)
</code></pre>
<pre><code>## boxes total: 55
##
## boxes by exposure:
## mobile
## 55
##
## boxes by model:
## custom homeEthernet homeWifi
## 7 2 8
## homeWifiFeinstaub luftdaten_pms5003_bme280 luftdaten_sds011_bme280
## 6 2 9
## luftdaten_sds011_dht11 luftdaten_sds011_dht22
## 1 20
##
## $last_measurement_within
## 1h 1d 30d 365d never
## 16 18 24 43 12
##
## oldest box: 2017-05-24 08:16:36 (Feinstaub Hauptstrasse Steampunk-Design)
## newest box: 2018-05-24 07:08:32 (Josi Test)
##
## sensors per box:
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 4.000 4.000 4.618 5.000 22.000
</code></pre>
<pre><code class="r">plot(b3)
</code></pre>
<p><img src="data:image/png;base64,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
<p>To re-download the data, just clear the files that were created in the process:</p>
<pre><code class="r">file.remove(&#39;mobileboxes.rds&#39;, &#39;boxes_bad.json&#39;, &#39;boxes.json&#39;, &#39;measurements.rds&#39;)
</code></pre>
<pre><code>## Warning in file.remove(&quot;mobileboxes.rds&quot;, &quot;boxes_bad.json&quot;, &quot;boxes.json&quot;, :
## cannot remove file &#39;measurements.rds&#39;, reason &#39;No such file or directory&#39;
</code></pre>
<p>A possible extension to this scheme comes to mind: Omit the specification of a
filename, and assign a unique ID to the request instead.
For example, one could calculate the SHA-1 hash of the parameters, and use it
as filename.</p>
</body>
</html>