Refactor audio feat graph
Fixes #51. Instead of passing in an array of hard coded values as the interval end points, an object specifying the beginning, the end, and the step size is used. Categories can be more easily defined and modified this way.
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@@ -170,7 +170,7 @@ def add_artist_genres(headers, artist_objs):
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params = {'ids': artist_ids}
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artists_response = requests.get('https://api.spotify.com/v1/artists/',
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headers=headers,
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params={'ids': artist_ids},
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params=params,
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).json()['artists']
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for i in range(len(artist_objs)):
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if len(artists_response[i]['genres']) == 0:
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@@ -166,8 +166,9 @@ def get_audio_feature_data(request, audio_feature, user_secret):
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# get_genre_data {{{ #
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def get_genre_data(request, user_secret):
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"""Return genre data needed to create the graph user.
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"""Return genre data needed to create the graph
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TODO
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"""
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user = User.objects.get(secret=user_secret)
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@@ -3,10 +3,10 @@
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* a designated parent element
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*
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* @param audioFeature: the name of the audio feature (string)
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* @param intervalEndPoints: a sorted array of 5 real numbers defining the intervals (categories) of values,
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* @param intervalEndPoints: a object defining the intervals (categories) of values,
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* for example:
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* [0, 0.25, 0.5, 0.75, 1.0] for instrumentalness would define ranges
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* (0-0.25), (0.25-0.5), (0.5-0.75), (0.75-1.0)
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* {begin: 0, end: 1.0, step: 0.25} for instrumentalness would define ranges
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* [0-0.25), [0.25-0.5), [0.5-0.75), [0.75-1.0]
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* @param parentElem: the DOM element to append the graph to (a selector string)
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* @param userSecret: the user secret string for identification
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* @return None
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@@ -18,11 +18,20 @@ function drawAudioFeatGraph(audioFeature, intervalEndPoints, parentElem, userSec
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height = 270 - margin.top - margin.bottom;
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let featureData = {};
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let currentEndPoint = intervalEndPoints.begin; // start at beginning
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// Create the keys first in order
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for (let index = 0; index < intervalEndPoints.length - 1; index++) {
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let key = `${intervalEndPoints[index]} ~ ${intervalEndPoints[index + 1]}`;
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while (currentEndPoint !== intervalEndPoints.end) {
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let startOfRange = currentEndPoint;
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let endOfRange = startOfRange + intervalEndPoints.step;
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let key = `${startOfRange} ~ ${endOfRange}`;
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featureData[key] = 0;
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currentEndPoint = endOfRange;
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}
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// for (let index = 0; index < intervalEndPoints.length - 1; index++) {
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// let key = `${intervalEndPoints[index]} ~ ${intervalEndPoints[index + 1]}`;
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// featureData[key] = 0;
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// }
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// define the vertical scaling function
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let vScale = d3.scaleLinear().range([height, 0]);
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@@ -31,12 +40,14 @@ function drawAudioFeatGraph(audioFeature, intervalEndPoints, parentElem, userSec
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// categorize the data points
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for (let dataPoint of response.data_points) {
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dataPoint = parseFloat(dataPoint);
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let index = intervalEndPoints.length - 2;
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let currLowerBound = intervalEndPoints.end - intervalEndPoints.step;
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let stepSize = intervalEndPoints.step;
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// find the index of the first element greater than dataPoint
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while (dataPoint < intervalEndPoints[index]) {
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index -= 1;
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while (dataPoint < currLowerBound) {
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currLowerBound -= stepSize;
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}
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let key = `${intervalEndPoints[index]} ~ ${intervalEndPoints[index + 1]}`;
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let upperBound = currLowerBound + stepSize;
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let key = `${currLowerBound} ~ ${upperBound}`;
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featureData[key] += 1;
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}
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@@ -24,14 +24,14 @@
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<script src="{% static "graphs/scripts/audio_feat_graph.js" %}"></script>
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<script type="text/javascript">
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let userSecret = "{{ user_secret }}";
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drawAudioFeatGraph("instrumentalness", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
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drawAudioFeatGraph("valence", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
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drawAudioFeatGraph("energy", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
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drawAudioFeatGraph("tempo", [0, 40, 80, 120, 160, 200], 'body', userSecret);
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drawAudioFeatGraph("danceability", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
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drawAudioFeatGraph("acousticness", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
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drawAudioFeatGraph("loudness", [-60, -45, -30, -15, 0], 'body', userSecret);
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drawAudioFeatGraph("speechiness", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
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drawAudioFeatGraph("instrumentalness", {begin: 0, end: 1.0, step: 0.25}, 'body', userSecret);
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drawAudioFeatGraph("valence", {begin: 0, end: 1.0, step: 0.25}, 'body', userSecret);
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drawAudioFeatGraph("energy", {begin: 0, end: 1.0, step: 0.25}, 'body', userSecret);
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drawAudioFeatGraph("tempo", {begin: 0, end: 200, step: 40}, 'body', userSecret);
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drawAudioFeatGraph("danceability", {begin: 0, end: 1.0, step: 0.25}, 'body', userSecret);
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drawAudioFeatGraph("acousticness", {begin: 0, end: 1.0, step: 0.25}, 'body', userSecret);
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drawAudioFeatGraph("loudness", {begin: -60, end: 0, step: 15}, 'body', userSecret);
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drawAudioFeatGraph("speechiness", {begin: 0, end: 1.0, step: 0.25}, 'body', userSecret);
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</script>
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</body>
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</html>
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16
reset_db.sh
16
reset_db.sh
@@ -1,15 +1,15 @@
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# check if in virtual environment
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# https://stackoverflow.com/questions/15454174/how-can-a-shell-function-know-if-it-is-running-within-a-virtualenv/15454916
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# python -c 'import sys; print(sys.real_prefix)' 2>/dev/null && INVENV=1 || INVENV=0
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python -c 'import sys; print(sys.real_prefix)' 2>/dev/null && INVENV=1 || INVENV=0
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# INVENV=$(python -c 'import sys; print ("1" if hasattr(sys, "real_prefix") else "0")')
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# if $INVENV is 1, then in virtualenv
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# echo $INVENV
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# if [ $INVENV -eq 1 ]; then
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rm login/migrations/0* api/migrations/0*
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sudo -u postgres psql -f reset_db.sql
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python manage.py makemigrations
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python manage.py migrate
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python manage.py runserver
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# fi
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if [ $INVENV -eq 1 ]; then
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rm login/migrations/0* api/migrations/0*
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sudo -u postgres psql -f reset_db.sql
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python manage.py makemigrations login api
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python manage.py migrate
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python manage.py runserver
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fi
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