get_data automate token etc
Rob Canning
parent
7e8d65a9ab
commit
3498265544
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@ -1,37 +1,55 @@
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#!/bin/bash
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# ///////////////////////////////////////////////
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# Whistling in the Wind
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# Data Sonification with Supercollider
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# Rob Canning 2023
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# ///////////////////////////////////////////////
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STATION_A='D7:80:BE:2C:63:BD'
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STATION_B='F1:CC:C3:0B:7F:5C'
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# Array of weather station MAC addresses
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STATIONS=($STATION_A $STATION_B)
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STATIONS=( 'D7:80:BE:2C:63:BD' 'F1:CC:C3:0B:7F:5C' )
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# Request API token (JSON) and parse for access_token string with Python3
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TOKEN=$(curl --insecure --data \
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"username=data-api-user&password=jBD0CD1wGOKoTVtC&grant_type=password&client_id=phenode" \
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https://phenode-link.com:8443/realms/grafana/protocol/openid-connect/token \
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| python3 -c "import sys, json; print(json.load(sys.stdin)['access_token'])")
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#rm -r all-data *.zip
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echo $TOKEN;
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# pull down the data and clean it up with sed and awk
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for data in "${STATIONS[@]}"
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do
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if [ -d $data ]
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if [ -d $data ] ## if data dir exists then remove it
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then echo "removing old data directories" ; rm -r $data
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else echo "nothing to remove"
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fi ## if data dir exists then remove it
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fi
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echo "downloading data from device with MAC: $data"
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curl --insecure \
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-X POST https://phenode-link.com:2537/devices/$data/all-data/2023-04-10T16:52:21Z \
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-H "Authorization: Bearer $TOKEN" \
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--output $data.zip
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# curl --insecure \
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# -X POST https://phenode-link.com:2537/devices/$data/all-data/2023-04-10T16:52:21Z \
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# -H \"Authorization: Bearer $TOKEN\" \
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# --output $data.zip
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unzip $data.zip && mv all-data $data && rm $data.zip && cd $data
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# backup unfiltered / raw data
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cp sensor_data.csv sensor_data_ORIG.csv
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# remove the null data and replace with 0
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sed -i 's/^,/0,/; :a;s/,,/,0,/g;ta' sensor_data.csv
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# clear the ugly rows from Growing Degree Days
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awk -F, 'NR==1{print} NR>1 && $2=="0" {gsub(/[)(\]\[]/,"",$0);print}' sensor_data.csv > tmp && mv tmp sensor_data_clean.csv
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awk -F, 'NR==1{print} NR>1 && $2=="0" {gsub(/[)(\]\[]/,"",$0);print}' sensor_data.csv > tmp && mv tmp sensor_data.csv
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cd ../
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# sensor_data.csv is the final file to be used by supercollider
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# sensor_data_ORIG.csv is the backup original data
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done
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176
sc/witw.scd
176
sc/witw.scd
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@ -1,11 +1,10 @@
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/*RUN*/
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(
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s.options.numInputBusChannels = 4;
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s.options.numOutputBusChannels = 4;
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~dataPath = "/home/rizoma/witw/data/D7:80:BE:2C:63:BD/"; // CHANGE THIS TO RELATIVE PATH
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"echo curl -v -X POST http://3.139.191.80:2537/devices/dev:864475040526732/all-data/2023-09-20T16:52:21Z -H 'Authorization: Bearer token' --output dev:864475040526732.zip".unixCmd;
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~dataPath = "/home/rizoma/witw/data/"; // CHANGE THIS TO RELATIVE PATH
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~devices = ["D7:80:BE:2C:63:BD", "F1:CC:C3:0B:7F:5C"];
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s.waitForBoot{
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@ -13,7 +12,7 @@ s.waitForBoot{
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~ctrlBus = 8.collect({arg i; Bus.control(s,1); });
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// define synths
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SynthDef(\sgrain, { | out=0, atk=0.01, dcy=0.01, freq=100, pan=0, amp=0.5|
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SynthDef(\sgrain, { | out=0, atk=0.01, dcy=0.01, freq=100, pan=0, amp=1|
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var sig, env;
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env = EnvGen.ar(Env.perc(atk, dcy), doneAction: 2);
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sig = FSinOsc.ar(freq);
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@ -24,26 +23,28 @@ s.waitForBoot{
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}).add;
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SynthDef(\sslew, {
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| out = 0, freq=100, amp = 0.05, slewrate = 1|
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| out = 0, freq=100, amp = 0.7, slewrate = 1|
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var sig, z;
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// add slew rate on frequency
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z = Slew.kr(freq, slewrate, slewrate);
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sig = Blip.ar(z, 5, amp).dup;
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sig = BPF.ar(PinkNoise.ar(), z, 6 );
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//sig = Blip.ar(z, 5, amp).dup;
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Out.ar(out, sig)
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}).add;
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SynthDef.new(\sine, {
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arg freq=440, panfreq=0.3, panphase=0.5, rel=0.5, gate=0, amp=0.0001;
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var sig;
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sig = SinOsc.ar(freq);
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sig = sig * EnvGen.kr(Env.perc(0.04,rel), doneAction:2);
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sig = Pan2.ar(sig, FSinOsc.kr(panfreq, panphase));
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sig = sig * amp;
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Out.ar(0, sig);
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}).add;
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// load and process the data source /////////////////////////////////
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// need to strip the header and the date // or the : from datetime and the header
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// strip first 6 rows after header to stop gps data spilling
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// todo preprocess file with Sed
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// growing degree days causes nil in other fields - filter these out
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//~csvFile=CSVFileReader.readInterpret(~dataPath ++ "sensor_data-notime-noheader-cutrows1.csv",true,true);
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~csvFile=CSVFileReader.read(~dataPath ++ "sensor_data.csv",true,true);
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~csvFile=CSVFileReader.read(~dataPath ++ ~devices[0] ++ "/" ++ "sensor_data.csv",true,true);
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// flatten ~data from 2D Array to regular array (per column);
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// ~data = ( ~csvFile[0].size-1 ).collect({ arg itt;
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~data = ( ~csvFile[0].size ).collect({ arg itt;
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Array.fill( ~csvFile.size-1,{ arg i;
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~csvFile.at(i+1).asArray.at(itt)}); // +1 to skip the column name
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@ -60,32 +61,145 @@ s.waitForBoot{
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~data[21]; // LAT
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// normalize data ranges //////
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~date=~data[0];
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~freq=~data[2].asFloat.normalize(20, 1000);
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~atk=~data[2].asFloat.normalize(0.02, 0.04);
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~freq=~data[2].asFloat.normalize(0, 400);
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~atk=~data[4].asFloat.normalize(0.02, 0.04);
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~dcy=~data[2].asFloat.normalize(0.05, 0.1);
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~dur=~data[2].asFloat.normalize(0.03, 0.3);
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~level=~data[2].asFloat.normalize(0.01, 0.1);
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~dur=~data[2].asFloat.normalize(0.1, 0.1);
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~level=~data[2].asFloat.normalize(0, 0);
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//start the slewing synth /////////////////////////////
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//~sslew1 = Synth(\sslew,[\out,0,\freq,220,\amp,0.01,\slewrate,1000]);
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//~sslew1 = Synth(\sslew,[\out,0,\freq,220,\amp,0,\slewrate,1000]);
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//~sslew1.map(\freq, ~ctrlBus[0]); // map control bus to freq parameter
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//o = OSCFunc({ |msg| msg.postln }, '/tr', s.addr);
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~ce = Array.new(maxSize: 20);
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// perform the data sonification /////////////////////
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( p = Pbind(\instrument, \sgrain,
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\freq, Pseq(~freq.round(100),1),
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\atk, Pseq(~atk,1),
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/* ( p = Pbind(\instrument, \sgrain,
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\freq, Pseq(~freq.round(30),1),
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\atk, Pseq(~atk,1).poll,
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\dcy, Pseq(~dcy,1),
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\pan, Pseq([0,1], inf),
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\dur, Pseq(~dur,1),
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\amp, Pseq(~level,1),
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//\renoise, Pfunc({|e| e.use { ~date.postln } })
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).play;
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);
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\amp, Pseq(~level, 1),
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\date, Pseq(~date, 1 )
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).collect{ arg i; i.postln; });*/
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~gr = Group.new;
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~pitchset = [20,40,60,80].midicps;
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Pdef(\c,
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Pspawner({ | sp |
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8.do { | i |
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sp.par(
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// Pdefn (~ce[i],
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Pbind( *[
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\instrument, \sine,
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\dur, Pseq(Array.geom(30, rrand(1,1.5), rrand(0.98,0.99)).mirror,1),
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\freq, exprand(~pitchset[0],~pitchset[0]*100).round(~pitchset[0]),
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\panfreq, rrand(0.1, 2.2),
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\amp, 0.05,
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\panphase, rrand(-1.0,1.0),
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\rel, exprand(1.5,3.35),
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//\gate, 0,
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\group, ~gr
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]);
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//)
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);
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sp.wait(1);
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};
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});
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).play;
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//Pdefn (\c, Pbind( \freq, exprand(~pitchset[0],~pitchset[0]*100).round(~pitchset[0])))
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~dur = PatternProxy.new;
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~deg = PatternProxy.new;
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~oct = PatternProxy.new;
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~voc = PatternProxy.new;
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~amp = PatternProxy.new;
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~sca = PatternProxy.new;
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~rel = PatternProxy.new;
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~dur.source = Pseq(Array.geom(30, rrand(1,1.5), rrand(0.98,0.99)).mirror,inf);
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~deg.source = Prand([0,5,7],inf);
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~oct.source = Prand([2,3,4],inf);
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~voc.source = 4;
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~amp.source = Pwhite(0.001, 0.1,inf);
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~sca.source = Scale.harmonicMinor;
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~rel.source = Pexprand(1.5,3.35, inf);
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Pdef(\c, Pspawner({ | sp | 8.do { | i | sp.par(
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Pbind( *[
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\instrument, \sine,
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\dur, ~dur,
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\scale, ~sca,
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\degree, ~deg,
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\octave, ~oct,
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//\freq, exprand(~pitchset[0],~pitchset[0]*80).round(100),
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\panfreq, rrand(0.1, 2.2),
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\amp, ~amp,
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\panphase, rrand(-1.0,1.0),
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\rel, ~rel,
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//\rel, exprand(1.5,3.35),
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\group, ~gr
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]);
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);
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sp.wait(1);
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};
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});
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).play;
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s.plotTreeView;
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}; // closes s.waitForBoot
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//p.stop;
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~dur.source = Pseq(Array.geom(30, rrand(1,1.5), rrand(0.98,0.99)).mirror,inf);
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~dur.source = Pseq([1.5],inf);
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//~voc.source = 1;
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~oct.source = Prand([3,4],inf);
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~deg.source = Prand([0,4,7,9,11],inf);
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~sca.source = Scale.chromatic;
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~rel.source = Pexprand(1.1,10.5, inf);
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~amp.source = Pwhite(0.001, 0.00,inf);
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(
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r = Routine {
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199.yield;
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189.yield;
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Routine { 100.do { |i| i.yield } }.idle(6);
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199.yield;
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189.yield;
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};
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fork {
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loop {
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r.value.postln;
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1.wait;
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}
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}
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);
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/*
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c.set(\amp, 0.2);*/
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//~gr.set(\amp, 0.001);
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//~gr.set(\freq, exprand(~pitchset[0],~pitchset[0]*100).round(~pitchset[0]));
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)
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//~sslew1.stop;
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