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Fix weather predictor demo.
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steve-s committed Jul 12, 2017
2 parents 9e16132 + 0423419 commit b8d7cb6
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Showing 7 changed files with 52 additions and 31 deletions.
5 changes: 3 additions & 2 deletions build.sh
@@ -1,8 +1,9 @@
#!/bin/bash
set -e

./testWeatherPredictor.sh
./stop.sh
# temporarily disabled until graalvm-0.25
# ./testWeatherPredictor.sh
# ./stop.sh

cd fastr_javaui
./build.sh
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30 changes: 30 additions & 0 deletions ci.hocon
@@ -0,0 +1,30 @@
graal-vm-release: {
downloads: {
GRAALVM_DIR: {
name: graalvm-release,
version: "0.25",
platformspecific: true
}
}
environment: {
GRAALVM_BIN: "$GRAALVM_DIR/bin/java"
HOST_VM: server,
HOST_VM_CONFIG: graal-vm,
OPEN_WEATHER_API_KEY: "dd7073d18e3085d0300b6678615d904d"
}
logs : [
"fastr_errors.log"
"*/fastr_errors.log"
]
}

builds = [
${graal-vm-release} {
name: "weather_predictor_gate"
capabilities : [linux, amd64],
targets : [gate],
run : [
["./build.sh"]
],
}
]
3 changes: 1 addition & 2 deletions weather_predictor/demo.sh
@@ -1,4 +1,3 @@
!/bin/bash
export NODE_STACK_SIZE=2000000
$GRAALVM_DIR/bin/node --jvm --jvm.Dtruffle.js.NashornJavaInterop=true --jvm.classpath=./bin --jvm.Dtruffleruby.load_paths=openweather/lib,. --inspect --agent weatherServer.js
$GRAALVM_DIR/bin/node --jvm --jvm.Xss2m --jvm.Dtruffle.js.NashornJavaInterop=true --jvm.classpath=./bin -Dpolyglot.ruby.load_paths=openweather/lib,. --polyglot --inspect --agent weatherServer.js

13 changes: 0 additions & 13 deletions weather_predictor/install.sh
Expand Up @@ -11,19 +11,6 @@ if [ ! -d openweather ]; then
cd ..
fi

# Install the maps and lattice packages if not installed yet
if [ ! -d $GRAALVM_DIR/language/R/library/maps ]; then
echo "Installing maps package..."

$GRAALVM_DIR/bin/Rscript -e "install.packages(c('maps', 'lattice'), repos='$CRAN_MIRROR')"

FASTR_LOG=$GRAALVM_DIR/language/R/fastr_errors.log
if [ -f FASTR_LOG ]; then
echo "Dumping fastr_errors.log:"
cat $GRAALVM_DIR/language/R/fastr_errors.log
fi
fi

# Install expressjs
echo "Running npm install"
$GRAALVM_DIR/bin/npm install
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3 changes: 1 addition & 2 deletions weather_predictor/run.sh
@@ -1,3 +1,2 @@
#!/bin/bash
export NODE_STACK_SIZE=2000000
$GRAALVM_DIR/bin/node --jvm --jvm.Dtruffle.js.NashornJavaInterop=true --jvm.classpath=./bin --jvm.Dtruffleruby.load_paths=openweather/lib,. weatherServer.js
$GRAALVM_DIR/bin/node --jvm --jvm.Xss2m --jvm.Dtruffle.js.NashornJavaInterop=true --jvm.classpath=./bin --ruby.load_paths=openweather/lib,. --polyglot weatherServer.js
16 changes: 6 additions & 10 deletions weather_predictor/weatherModel.r
Expand Up @@ -4,17 +4,13 @@ tempInCity <- import('tempInCity')
# The lattice library is needed for the visualization
library(lattice)

createModel <- function(size, cityService) {
# In the final version we should select only some cities:
# idx <- sample(1:length, size)
# cities <- cities[idx]
# ...but now even using all the cities does not work:
cities <- cityService$getAll()
createModel <- function(size, length, getName, getLat, getLong, getTemp) {
idx <- sample(1:length, size)
data <- as.data.frame(list(
name = sapply(cities, function(x) x$getName()),
lat = sapply(cities, function(x) x$getLat()),
long = sapply(cities, function(x) x$getLong()),
temp = sapply(cities, function(x) x$getTemp())))
name = sapply(idx, function(i) getName(i)),
lat = sapply(idx, function(i) getLat(i)),
long = sapply(idx, function(i) getLong(i)),
temp = sapply(idx, function(i) getTemp(i))))
list(data=data, model=lm(temp~lat, data=data))
}

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13 changes: 11 additions & 2 deletions weather_predictor/weatherServer.js
Expand Up @@ -5,6 +5,9 @@ console.log("Initializing Openweather");
var weatherInitScript = fs.readFileSync("weatherInit.rb", "utf8");
Interop.eval("application/x-ruby", weatherInitScript);

// Ruby overrides Node.js signal handler, we override it back
process.on('SIGINT', function() { process.exit(0); });

Weather = Interop.import('weather')
Interop.export('tempInCity', function(name) {
return Weather.temperature_in_city(name);
Expand All @@ -21,7 +24,8 @@ predictTemp = Interop.import('do_predict');
plotModel = Interop.import('plotModel');
isCity = Interop.import('isCity');

var cityService = new com.oracle.graalvm.demo.weather.CityService();
const cityServiceType = Java.type('com.oracle.graalvm.demo.weather.CityService');
var cityService = new cityServiceType();

var updateTemperatures = function() {
let cities = cityService.getAll();
Expand All @@ -33,7 +37,12 @@ var updateTemperatures = function() {

// Create the linear regression model
var updateModel = function(size) {
return createModel(size, cityService);
var cities = cityService.getAll();
let getName = function(i) { return cities[i-1].getName(); }
let getLatitude = function(i) { return cities[i-1].getLatitude(); }
let getLongitude = function(i) { return cities[i-1].getLongitude(); }
let getTemperature = function(i) { return cities[i-1].getTemperature(); }
return createModel(size, cities.length, getName, getLatitude, getLongitude, getTemperature);
}

var model = updateModel(5);
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