diff --git a/export.py b/export.py
index 0b70866..62b330f 100644
--- a/export.py
+++ b/export.py
@@ -1,115 +1,76 @@
from pymongo import MongoClient
-from pprint import pprint
from datetime import datetime
import csv
+
client = MongoClient()
-db=client.bonitoo
+db = client.bonitoo
fieldnames = [
-'timestamp',
-'client.channel',
-'type',
-'flight.inboundSegments.departure',
-'flight.inboundSegments.arrival',
-'flight.inboundSegments.origin.airportCode',
-'flight.inboundSegments.destination.airportCode',
-'flight.inboundSegments.flightNumber',
-'flight.inboundSegments.travelClass',
-'flight.inboundSegments.bookingCode',
-'flight.inboundSegments.availability',
-'flight.inboundSegments.elapsedFlyingTime',
-'flight.outboundSegments.departure',
-'flight.outboundSegments.arrival',
-'flight.outboundSegments.origin.airportCode',
-'flight.outboundSegments.destination.airportCode',
-'flight.outboundSegments.flightNumber',
-'flight.outboundSegments.travelClass',
-'flight.outboundSegments.bookingCode',
-'flight.outboundSegments.availability',
-'flight.outboundSegments.elapsedFlyingTime',
-'flight.inboundEFT', # elapsed flying time
-'flight.outboundEFT',
-'oneWay',
-'adults', # pocet osob = (adults + children)
-'children',
-'infants',
-'input.price',
-'input.tax',
-'input.currency',
-'success',
-'status',
-'output.price',
-'output.tax',
-'output.currency',
-'duration' # delka volani do nadrazeneho systemu
+ 'timestamp',
+ 'client.channel',
+ 'type',
+ 'flight.inboundSegments.departure',
+ 'flight.inboundSegments.arrival',
+ 'flight.inboundSegments.origin.airportCode',
+ 'flight.inboundSegments.destination.airportCode',
+ 'flight.outboundSegments.departure',
+ 'flight.outboundSegments.arrival',
+ 'flight.outboundSegments.origin.airportCode',
+ 'flight.outboundSegments.destination.airportCode',
+ 'input.price',
+ 'input.tax',
+ 'input.currency',
+ 'success',
+ 'status',
+ 'output.price',
+ 'output.tax',
+ 'output.currency',
+ 'duration'
]
-# 5% nebo 200 kc rozdil nahoru
-# -200 kc dolu
-# abs(+-10kc) ignorovat
-
-# timestamp + ok price - ma byt v cache od cacheat
-# timestamp + notok price - nema byt v cache od cacheat
-
-# delka pobytu prilet-odlet
-# delka letu ?
-# pokud je chyba tak nocache (= chybi priceout)
-
-# brat v uvahu in/out kody aerolinek (mcx ?) - mirek jeste zjisti
-
-# vypocitat uspesnost je/neni v cache v %
-
counter = 0
with open('export.csv', mode='w') as ef:
- writer = csv.DictWriter(ef, fieldnames=fieldnames, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
- # do not write header for s3 files
- # writer.writeheader()
+ writer = csv.DictWriter(ef, fieldnames=fieldnames, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
+ # do not write header for s3 files
+ # writer.writeheader()
+
+ for it in db.pricing_audit.find():
+ counter += 1
+ if counter % 1000 == 0:
+ print('Iterace %d' % counter)
+ d = {
+ 'timestamp': datetime.fromtimestamp(it['timestamp'] / 1000).isoformat(),
+ 'client.channel': it['client']['channel'],
+ 'type': it['type'],
+ 'flight.outboundSegments.departure': '|'.join(
+ [x['departure'].isoformat() for x in it['flight']['outboundSegments']]),
+ 'flight.outboundSegments.arrival': '|'.join(
+ [x['arrival'].isoformat() for x in it['flight']['outboundSegments']]),
+ 'flight.outboundSegments.origin.airportCode': '|'.join(
+ [x['origin']['airportCode'] for x in it['flight']['outboundSegments']]),
+ 'flight.outboundSegments.destination.airportCode': '|'.join(
+ [x['destination']['airportCode'] for x in it['flight']['outboundSegments']]),
+ 'input.price': it['input']['price'],
+ 'input.tax': it['input']['tax'],
+ 'input.currency': it['input']['currency'],
+ 'success': it['success'],
+ 'status': it.get('status', ''),
+ 'output.price': it.get('output', {'price': 0})['price'],
+ 'output.tax': it.get('output', {'tax': 0})['tax'],
+ 'output.currency': it.get('output', {'currency': 0})['currency'],
+ 'duration': it['duration']
+ }
- for it in db.pricing_audit.find():
- counter += 1
- if counter % 1000 == 0:
- print('Iterace %d' % counter)
- d = {
- 'timestamp': datetime.fromtimestamp(it['timestamp']/1000).isoformat(),
- 'client.channel': it['client']['channel'],
- 'type': it['type'],
- 'flight.outboundSegments.departure': '|'.join([x['departure'].isoformat() for x in it['flight']['outboundSegments']]),
- 'flight.outboundSegments.arrival': '|'.join([x['arrival'].isoformat() for x in it['flight']['outboundSegments']]),
- 'flight.outboundSegments.origin.airportCode': '|'.join([x['origin']['airportCode'] for x in it['flight']['outboundSegments']]),
- 'flight.outboundSegments.destination.airportCode': '|'.join([x['destination']['airportCode'] for x in it['flight']['outboundSegments']]),
- 'flight.outboundSegments.flightNumber': '|'.join([x['flightNumber'] for x in it['flight']['outboundSegments']]),
- 'flight.outboundSegments.travelClass': '|'.join([x['travelClass'] for x in it['flight']['outboundSegments']]),
- 'flight.outboundSegments.bookingCode': '|'.join([x.get('bookingCode','') for x in it['flight']['outboundSegments']]),
- 'flight.outboundSegments.availability': '|'.join([str(x.get('availability','')) for x in it['flight']['outboundSegments']]),
- 'flight.outboundSegments.elapsedFlyingTime': '|'.join([str(x.get('elapsedFlyingTime','')) for x in it['flight']['outboundSegments']]),
- 'flight.inboundEFT': it['flight'].get('inboundEFT',''),
- 'flight.outboundEFT': it['flight'].get('outboundEFT',''),
- 'oneWay': it['oneWay'],
- 'adults': it['adults'],
- 'children': it['children'],
- 'infants': it['infants'],
- 'input.price': it['input']['price'],
- 'input.tax': it['input']['tax'],
- 'input.currency': it['input']['currency'],
- 'success': it['success'],
- 'status': it.get('status',''),
- 'output.price': it.get('output', {'price': 0})['price'],
- 'output.tax': it.get('output', {'tax': 0})['tax'],
- 'output.currency': it.get('output', {'currency': 0})['currency'],
- 'duration': it['duration']
- }
-
- if 'inboundSegments' in it['flight']:
- inb = {
- 'flight.inboundSegments.departure': '|'.join([x['departure'].isoformat() for x in it['flight']['inboundSegments']]),
- 'flight.inboundSegments.arrival': '|'.join([x['arrival'].isoformat() for x in it['flight']['inboundSegments']]),
- 'flight.inboundSegments.origin.airportCode': '|'.join([x['origin']['airportCode'] for x in it['flight']['inboundSegments']]),
- 'flight.inboundSegments.destination.airportCode': '|'.join([x['destination']['airportCode'] for x in it['flight']['inboundSegments']]),
- 'flight.inboundSegments.flightNumber': '|'.join([x['flightNumber'] for x in it['flight']['inboundSegments']]),
- 'flight.inboundSegments.travelClass': '|'.join([x['travelClass'] for x in it['flight']['inboundSegments']]),
- 'flight.inboundSegments.bookingCode': '|'.join([x.get('bookingCode', '') for x in it['flight']['inboundSegments']]),
- 'flight.inboundSegments.availability': '|'.join([str(x.get('availability','')) for x in it['flight']['inboundSegments']]),
- 'flight.inboundSegments.elapsedFlyingTime': '|'.join([str(x.get('elapsedFlyingTime','')) for x in it['flight']['inboundSegments']])
- }
- d = {**d, **inb}
- writer.writerow(d)
+ if 'inboundSegments' in it['flight']:
+ inb = {
+ 'flight.inboundSegments.departure': '|'.join(
+ [x['departure'].isoformat() for x in it['flight']['inboundSegments']]),
+ 'flight.inboundSegments.arrival': '|'.join(
+ [x['arrival'].isoformat() for x in it['flight']['inboundSegments']]),
+ 'flight.inboundSegments.origin.airportCode': '|'.join(
+ [x['origin']['airportCode'] for x in it['flight']['inboundSegments']]),
+ 'flight.inboundSegments.destination.airportCode': '|'.join(
+ [x['destination']['airportCode'] for x in it['flight']['inboundSegments']]),
+ }
+ d = {**d, **inb}
+ writer.writerow(d)
diff --git a/inference/pom.xml b/inference/pom.xml
new file mode 100644
index 0000000..56faa9d
--- /dev/null
+++ b/inference/pom.xml
@@ -0,0 +1,58 @@
+
+ 4.0.0
+ cz.aprar.bonitoo
+ inference
+ jar
+ 1.0-SNAPSHOT
+ inference
+
+
+ UTF-8
+
+
+
+
+ ml.dmlc
+ xgboost4j
+ 0.90
+
+
+
+ com.fasterxml.jackson.core
+ jackson-databind
+ 2.9.9
+
+
+
+ org.testng
+ testng
+ 7.0.0
+ test
+
+
+
+
+
+
+ org.apache.maven.plugins
+ maven-compiler-plugin
+ 3.8.1
+
+ 8
+ 8
+
+
+
+
+ org.apache.maven.plugins
+ maven-pmd-plugin
+ 3.12.0
+
+ utf-8
+ 1.8
+
+
+
+
+
diff --git a/inference/src/main/java/cz/aprar/bonitoo/inference/CacheInference.java b/inference/src/main/java/cz/aprar/bonitoo/inference/CacheInference.java
new file mode 100644
index 0000000..d457684
--- /dev/null
+++ b/inference/src/main/java/cz/aprar/bonitoo/inference/CacheInference.java
@@ -0,0 +1,81 @@
+package cz.aprar.bonitoo.inference;
+
+import com.fasterxml.jackson.core.type.TypeReference;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import ml.dmlc.xgboost4j.java.Booster;
+import ml.dmlc.xgboost4j.java.DMatrix;
+import ml.dmlc.xgboost4j.java.XGBoost;
+import ml.dmlc.xgboost4j.java.XGBoostError;
+
+import java.io.BufferedInputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.List;
+import java.util.Map;
+
+public class CacheInference {
+ private static final TTL[] TTL_VALUES = TTL.values();
+
+ private final ObjectMapper mapper = new ObjectMapper();
+ private final Booster booster;
+ private final Map> labels;
+
+ public CacheInference(final Path modelFile, final Path labelFile) throws IOException, XGBoostError {
+ try (BufferedInputStream modelIS = new BufferedInputStream(Files.newInputStream(modelFile));
+ BufferedInputStream labelIS = new BufferedInputStream(Files.newInputStream(labelFile))
+ ) {
+ booster = loadModel(modelIS);
+ labels = loadLabels(labelIS);
+ }
+ }
+
+ public CacheInference(InputStream modelIS, InputStream labelIS) throws IOException, XGBoostError {
+ booster = loadModel(modelIS);
+ labels = loadLabels(labelIS);
+ }
+
+ public TTL cacheTTL(final FlightData data) throws XGBoostError {
+ float[][] predicts = booster.predict(createMatrix(data));
+ return TTL_VALUES[(int) predicts[0][0]];
+ }
+
+ private Booster loadModel(InputStream model) throws XGBoostError, IOException {
+ return XGBoost.loadModel(model);
+ }
+
+ private DMatrix createMatrix(final FlightData data) throws XGBoostError {
+ final float[] arr = new float[18];
+ arr[0] = labels.get("client.channel").getOrDefault(data.getClientChannel(), 0);
+ arr[1] = labels.get("type").getOrDefault(data.getType(), 0);
+ arr[2] = labels.get("flight.inboundSegments.departure").getOrDefault(joinList(data.getInboundDeparture()), 0);
+ arr[3] = labels.get("flight.inboundSegments.arrival").getOrDefault(joinList(data.getInboundArrival()), 0);
+ arr[4] = labels.get("flight.inboundSegments.origin.airportCode").getOrDefault(joinList(data.getInboundOrigin()), 0);
+ arr[5] = labels.get("flight.inboundSegments.destination.airportCode").getOrDefault(joinList(data.getInboundDestination()), 0);
+ arr[6] = labels.get("flight.outboundSegments.departure").getOrDefault(joinList(data.getOutboundDeparture()), 0);
+ arr[7] = labels.get("flight.outboundSegments.arrival").getOrDefault(joinList(data.getOutboundArrival()), 0);
+ arr[8] = labels.get("flight.outboundSegments.origin.airportCode").getOrDefault(joinList(data.getOutboundOrigin()), 0);
+ arr[9] = labels.get("flight.outboundSegments.destination.airportCode").getOrDefault(joinList(data.getOutboundDestination()), 0);
+ arr[10] = data.getInputPrice().floatValue();
+ arr[11] = data.getInputTax().floatValue();
+ arr[12] = labels.get("input.currency").getOrDefault(data.getInputCurrency(), 0);
+ arr[13] = data.getStatus().floatValue();
+ arr[14] = data.getOutputPrice().floatValue();
+ arr[15] = data.getOutputTax().floatValue();
+ arr[16] = labels.get("output.currency").getOrDefault(data.getOutputCurrency(), 0);
+ arr[17] = data.getDuration().floatValue();
+
+ return new DMatrix(arr, 1, arr.length);
+ }
+
+ private Map> loadLabels(InputStream labels) throws IOException {
+ final TypeReference>> typeRef = new TypeReference>>() {
+ };
+ return mapper.readValue(labels, typeRef);
+ }
+
+ private String joinList(final List data) {
+ return String.join("|", data);
+ }
+}
diff --git a/inference/src/main/java/cz/aprar/bonitoo/inference/FlightData.java b/inference/src/main/java/cz/aprar/bonitoo/inference/FlightData.java
new file mode 100644
index 0000000..4a600a1
--- /dev/null
+++ b/inference/src/main/java/cz/aprar/bonitoo/inference/FlightData.java
@@ -0,0 +1,123 @@
+package cz.aprar.bonitoo.inference;
+
+import java.util.Collections;
+import java.util.List;
+
+public class FlightData {
+ private final String clientChannel;
+ private final String type;
+ private final List inboundDeparture;
+ private final List inboundArrival;
+ private final List inboundOrigin;
+ private final List inboundDestination;
+ private final List outboundDeparture;
+ private final List outboundArrival;
+ private final List outboundOrigin;
+ private final List outboundDestination;
+ private final Double inputPrice;
+ private final Double inputTax;
+ private final String inputCurrency;
+ private final Integer status;
+ private final Double outputPrice;
+ private final Double outputTax;
+ private final String outputCurrency;
+ private final Integer duration;
+
+ public FlightData(final String clientChannel, final String type,
+ final List inboundDeparture, final List inboundArrival, final List inboundOrigin,
+ final List inboundDestination, final List outboundDeparture, final List outboundArrival,
+ final List outboundOrigin, final List outboundDestination, final Double inputPrice,
+ final Double inputTax, final String inputCurrency, final Integer status, final Double outputPrice,
+ final Double outputTax, final String outputCurrency, final Integer duration) {
+ this.clientChannel = clientChannel;
+ this.type = type;
+ this.inboundDeparture = inboundDeparture;
+ this.inboundArrival = inboundArrival;
+ this.inboundOrigin = inboundOrigin;
+ this.inboundDestination = inboundDestination;
+ this.outboundDeparture = outboundDeparture;
+ this.outboundArrival = outboundArrival;
+ this.outboundOrigin = outboundOrigin;
+ this.outboundDestination = outboundDestination;
+ this.inputPrice = inputPrice;
+ this.inputTax = inputTax;
+ this.inputCurrency = inputCurrency;
+ this.status = status;
+ this.outputPrice = outputPrice;
+ this.outputTax = outputTax;
+ this.outputCurrency = outputCurrency;
+ this.duration = duration;
+ }
+
+ public String getClientChannel() {
+ return clientChannel;
+ }
+
+ public String getType() {
+ return type;
+ }
+
+ public List getInboundDeparture() {
+ return Collections.unmodifiableList(inboundDeparture);
+ }
+
+ public List getInboundArrival() {
+ return Collections.unmodifiableList(inboundArrival);
+ }
+
+ public List getInboundOrigin() {
+ return Collections.unmodifiableList(inboundOrigin);
+ }
+
+ public List getInboundDestination() {
+ return Collections.unmodifiableList(inboundDestination);
+ }
+
+ public List getOutboundDeparture() {
+ return Collections.unmodifiableList(outboundDeparture);
+ }
+
+ public List getOutboundArrival() {
+ return Collections.unmodifiableList(outboundArrival);
+ }
+
+ public List getOutboundOrigin() {
+ return Collections.unmodifiableList(outboundOrigin);
+ }
+
+ public List getOutboundDestination() {
+ return Collections.unmodifiableList(outboundDestination);
+ }
+
+ public Double getInputPrice() {
+ return inputPrice;
+ }
+
+ public Double getInputTax() {
+ return inputTax;
+ }
+
+ public String getInputCurrency() {
+ return inputCurrency;
+ }
+
+ public Integer getStatus() {
+ return status;
+ }
+
+ public Double getOutputPrice() {
+ return outputPrice;
+ }
+
+ public Double getOutputTax() {
+ return outputTax;
+ }
+
+ public String getOutputCurrency() {
+ return outputCurrency;
+ }
+
+ public Integer getDuration() {
+ return duration;
+ }
+}
diff --git a/inference/src/main/java/cz/aprar/bonitoo/inference/TTL.java b/inference/src/main/java/cz/aprar/bonitoo/inference/TTL.java
new file mode 100644
index 0000000..a7efa02
--- /dev/null
+++ b/inference/src/main/java/cz/aprar/bonitoo/inference/TTL.java
@@ -0,0 +1,36 @@
+package cz.aprar.bonitoo.inference;
+
+public enum TTL {
+ /**
+ * Very volatile or unknown data
+ */
+ NOCACHE,
+ /**
+ * Cache for 12 hours
+ */
+ H12,
+ /**
+ * Cache for 1 day
+ */
+ D1,
+ /**
+ * Cache for 2 days
+ */
+ D2,
+ /**
+ * Cache for 3 days
+ */
+ D3,
+ /**
+ * Cache for 1 week
+ */
+ D7,
+ /**
+ * Cache for 2 weeks
+ */
+ D14,
+ /**
+ * Cache for 30 days
+ */
+ D30;
+}
diff --git a/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java b/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java
new file mode 100644
index 0000000..1d6bcaa
--- /dev/null
+++ b/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java
@@ -0,0 +1,140 @@
+package cz.aprar.bonitoo.inference;
+
+import ml.dmlc.xgboost4j.java.XGBoostError;
+import org.testng.annotations.BeforeClass;
+import org.testng.annotations.DataProvider;
+import org.testng.annotations.Test;
+
+import java.io.IOException;
+import java.util.Arrays;
+import java.util.List;
+
+import static java.util.Collections.emptyList;
+import static org.testng.Assert.assertEquals;
+
+public class CacheInferenceTest {
+ private CacheInference ci;
+
+ @BeforeClass
+ void setUp() throws IOException, XGBoostError {
+ final ClassLoader classLoader = getClass().getClassLoader();
+ ci = new CacheInference(classLoader.getResourceAsStream("model/xgboost-model.bin"),
+ classLoader.getResourceAsStream("model/encoder.json"));
+ }
+
+ @Test(dataProvider = "inferenceData")
+ void testInference(final FlightData input, final TTL expected) throws XGBoostError {
+ final TTL result = ci.cacheTTL(input);
+ assertEquals(result, expected);
+ }
+
+ @DataProvider(name = "inferenceData")
+ public Object[][] inferenceData() {
+ return new Object[][]{
+ {new FlightData(
+ "fly-me-to",
+ "WS",
+ toList("2020-05-09T23:59:00", "2020-05-10T10:30:00"),
+ toList("2020-05-10T08:55:00", "2020-05-10T11:30:00"),
+ toList("MCO", "FRA"),
+ toList("FRA", "PRG"),
+ toList("2020-05-01T09:50:00", "2020-05-01T11:55:00"),
+ toList("2020-05-01T11:00:00", "2020-05-01T21:55:00"),
+ toList("PRG", "FRA"),
+ toList("FRA", "MCO"),
+ 39766.0,
+ 19776.0,
+ "CZK",
+ 0,
+ 39766.0,
+ 19776.0,
+ "CZK",
+ 427
+ ), TTL.D1},
+ {new FlightData(
+ "fly-me-to",
+ "PYTON",
+ emptyList(),
+ emptyList(),
+ emptyList(),
+ emptyList(),
+ toList("2019-12-18T05:45:00"),
+ toList("2019-12-18T08:05:00"),
+ toList("KRK"),
+ toList("BVA"),
+ 336.258,
+ 0.0,
+ "CZK",
+ 0,
+ 336.258,
+ 0.0,
+ "CZK",
+ 2284
+ ), TTL.D7},
+ {new FlightData(
+ "levne",
+ "AVIA",
+ toList("2020-02-07T02:25:00", "2020-02-07T14:50:00"),
+ toList("2020-02-07T13:10:00", "2020-02-07T16:55:00"),
+ toList("LAX", "LHR"),
+ toList("LHR", "PRG"),
+ toList("2020-01-28T10:35:00", "2020-01-28T14:40:00"),
+ toList("2020-01-28T12:45:00", "2020-01-29T01:45:00"),
+ toList("PRG", "HEL"),
+ toList("HEL", "LAX"),
+ 5971.77978,
+ 0.0,
+ "CZK",
+ 0,
+ 15971.77978,
+ 0.0,
+ "CZK",
+ 551
+ ), TTL.D7},
+ {new FlightData(
+ "fly-me-to",
+ "HH",
+ toList("2019-11-01T16:30:00", "2019-11-01T23:35:00"),
+ toList("2019-11-01T21:12:00", "2019-11-02T07:45:00"),
+ toList("YVR", "YUL"),
+ toList("YUL", "VIE"),
+ toList("2019-10-18T08:10:00", "2019-10-18T11:30:00"),
+ toList("2019-10-18T09:40:00", "2019-10-18T21:25:00"),
+ toList("VIE", "FRA"),
+ toList("FRA", "YVR"),
+ 17723.0,
+ 7708.0,
+ "CZK",
+ 0,
+ 17723.0,
+ 7708.0,
+ "CZK",
+ 1786
+ ), TTL.D1},
+ {new FlightData(
+ "unknown",
+ "unknown",
+ toList("unknown"),
+ toList("unknown"),
+ toList("unknown"),
+ toList("unknown"),
+ toList("unknown"),
+ toList("unknown"),
+ toList("unknown"),
+ toList("unknown"),
+ 0.0,
+ 0.0,
+ "unknown",
+ 0,
+ 0.0,
+ 0.0,
+ "unknown",
+ 0
+ ), TTL.NOCACHE}
+ };
+ }
+
+ private List toList(final String... data) {
+ return Arrays.asList(data);
+ }
+}
diff --git a/inference/src/test/resources/model/encoder.json b/inference/src/test/resources/model/encoder.json
new file mode 100644
index 0000000..a708bb6
--- /dev/null
+++ b/inference/src/test/resources/model/encoder.json
@@ -0,0 +1 @@
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267, "DUB|EDI": 281, "BSL": 166, "OSL|CPH|PRG": 666, "LTN|PRG": 535, "LHR|MUC": 506, "MAD|UIO": 563, "CAI|VIE|PRG": 186, "SOF|BRI|LTN|BTS": 793, "MIA|LHR|PRG": 581, "DEL|AMS|PRG": 244, "TXL|VIE": 857, "SFO|LHR|PRG": 755, "CAI|MAD": 184, "BRI": 155, "BOS|LGW|PRG": 150, "LIS|BUD": 517, "SVO|PRG": 821, "WAW|LHR": 894, "VIE|MXP|BUD|FRA": 871, "CGN|VIE": 219, "LJU|PRN": 526, "AMM|FCO": 19, "NTE": 634, "ZRH|VLC": 943, "CPH|PRG|LTN|KTW": 234, "PEK|MUC|VIE": 688, "KUL|TPE|FRA|PRG": 464, "LIM": 511, "OPO|MUC|PRG": 642, "STN|SXF": 806, "BRS|KTW": 158, "KBP|KRK": 432, "ZRH|VIE|KSC": 942, "OTP|VIE": 679, "FRA|BUD": 325, "VIE|KSC": 869, "MIA|LHR|VIE": 582, "KUL|IST|VIE": 458, "BRU|DJE": 163, "TXL": 855, "NTE|PRG": 635, "JFK": 411, "MEX|AMS|PRG": 573, "HKG|LHR|PRG": 372, "MUC|ZRH|PRG": 610, "RIX|VIE": 735, "SHJ|VIE": 764, "DUS|BHX|BTS": 285, "FRA|PTY|SAP": 332, "KUL|PVG|SVO|VIE": 461, "IAD|FRA|PRG": 380, "XOC|PRG": 904, "BOD|PRG": 138, "MIA|MAD|PRG": 584, "CDG|MEX|SAP": 200, "OSL|KRK|CTA": 668, "MXP|PRG": 615, "DFW|LHR|PRG": 247, "EZE|FCO|MAD": 307, "PHL|LHR|MUC": 693, "MAD|TXL": 562, "CDG|MAD": 199, "KIX|CDG|PRG": 441, "LIM|CDG|PRG": 512, "VIE|TLV|BUD|SXF": 876, "DUS|NCL": 288, "AUH|AMS|PRG": 69, "MIA|LIS|PRG": 583, "BHX|VIE": 109, "HKG|CDG|PRG": 368, "PTY|CDG|BCN": 717, "AKL|DOH|PRG": 13, "ORD|LHR|PRG": 650, "IST|PRG": 404, "DME": 250, "CDG|VLC": 206, "LGW|MUC": 492, "BCN|SVQ": 92, "PRG|KSC": 711, "SVO|BUD": 814, "DOH|MUC": 269, "SVO|UFA": 826}}
\ No newline at end of file
diff --git a/inference/src/test/resources/model/xgboost-model.bin b/inference/src/test/resources/model/xgboost-model.bin
new file mode 100644
index 0000000..e72f3ef
Binary files /dev/null and b/inference/src/test/resources/model/xgboost-model.bin differ
diff --git a/runner.py b/runner.py
new file mode 100644
index 0000000..b365f74
--- /dev/null
+++ b/runner.py
@@ -0,0 +1,33 @@
+import sagemaker
+import boto3
+from sagemaker import get_execution_role
+from sagemaker.xgboost.estimator import XGBoost
+
+boto_session = boto3.Session(profile_name='bonitoo', region_name='eu-central-1')
+
+# local: sagemaker_session = sagemaker.LocalSession(boto_session=boto_session)
+sagemaker_session = sagemaker.Session(boto_session=boto_session)
+
+role = 'Bonitoo_SageMaker_Execution'
+train_input = 's3://customers-bonitoo-cachettl/sagemaker/data/export-reduced.csv'
+
+tf = XGBoost(
+ entry_point='train_model.py',
+ source_dir='./src',
+ train_instance_type='ml.c5.xlarge',
+ train_instance_count=1,
+ role=role,
+ sagemaker_session=sagemaker_session,
+ framework_version='0.90-1',
+ py_version='py3',
+ hyperparameters={
+ 'bonitoo_price_limit': 1000,
+ 'num_round': 15,
+ 'max_depth': 15,
+ 'eta': 0.5,
+ 'num_class': 8,
+ 'objective': 'multi:softmax',
+ 'eval_metric': 'mlogloss'
+ })
+
+tf.fit({'training': train_input})
diff --git a/src/train_model.py b/src/train_model.py
index f1ea180..15f3103 100644
--- a/src/train_model.py
+++ b/src/train_model.py
@@ -25,26 +25,10 @@ columns = [
'flight.inboundSegments.arrival',
'flight.inboundSegments.origin.airportCode',
'flight.inboundSegments.destination.airportCode',
- 'flight.inboundSegments.flightNumber',
- 'flight.inboundSegments.travelClass',
- 'flight.inboundSegments.bookingCode',
- 'flight.inboundSegments.availability',
- 'flight.inboundSegments.elapsedFlyingTime',
'flight.outboundSegments.departure',
'flight.outboundSegments.arrival',
'flight.outboundSegments.origin.airportCode',
'flight.outboundSegments.destination.airportCode',
- 'flight.outboundSegments.flightNumber',
- 'flight.outboundSegments.travelClass',
- 'flight.outboundSegments.bookingCode',
- 'flight.outboundSegments.availability',
- 'flight.outboundSegments.elapsedFlyingTime',
- 'flight.inboundEFT',
- 'flight.outboundEFT',
- 'oneWay',
- 'adults',
- 'children',
- 'infants',
'input.price',
'input.tax',
'input.currency',
@@ -63,25 +47,12 @@ catcolumns = [
'flight.inboundSegments.arrival',
'flight.inboundSegments.origin.airportCode',
'flight.inboundSegments.destination.airportCode',
- 'flight.inboundSegments.flightNumber',
- 'flight.inboundSegments.travelClass',
- 'flight.inboundSegments.bookingCode',
- 'flight.inboundSegments.availability',
- 'flight.inboundSegments.elapsedFlyingTime',
'flight.outboundSegments.departure',
'flight.outboundSegments.arrival',
'flight.outboundSegments.origin.airportCode',
'flight.outboundSegments.destination.airportCode',
- 'flight.outboundSegments.flightNumber',
- 'flight.outboundSegments.travelClass',
- 'flight.outboundSegments.bookingCode',
- 'flight.outboundSegments.availability',
- 'flight.outboundSegments.elapsedFlyingTime',
- 'flight.inboundEFT',
- 'flight.outboundEFT',
'input.currency',
- 'output.currency',
- 'oneWay'
+ 'output.currency'
]
floatcolumns = [
@@ -92,9 +63,6 @@ floatcolumns = [
]
intcolumns = [
- 'adults',
- 'children',
- 'infants',
'status',
'duration'
]
@@ -120,7 +88,7 @@ def expected_value(row, cachetime_df, price_limit=1000):
incachetime = tdiff[0]
else:
incachetime = np.timedelta64('NaT')
-
+
modifier = 0
if pricestatus > price_limit:
modifier = -1
@@ -144,7 +112,7 @@ def expected_value(row, cachetime_df, price_limit=1000):
return 5 + modifier
if incachetime <= np.timedelta64(14,'D'):
return 6 + modifier
-
+
return min(7, 7 + modifier)
def compute_cached_time(df):
@@ -157,9 +125,6 @@ def preprocess_data(df):
df.loc[:, 'timestamp'] = df.loc[:, 'timestamp'].apply(lambda x: pd.to_datetime(x))
- booleanDictionary = {True: 'TRUE', False: 'FALSE'}
- df.loc[:, 'oneWay'] = df.loc[:, 'oneWay'].replace(booleanDictionary)
-
for cc in catcolumns:
df.loc[:, cc] = df.loc[:, cc].astype('category')
df.loc[:, '%s_codes' % cc] = df[cc].cat.codes
@@ -218,7 +183,6 @@ def get_pandas_df(data_path):
return df
-
def get_df(train_path, validate_path, content_type='text/csv'):
train_files_size = get_size(train_path) if train_path else 0
val_files_size = get_size(validate_path) if validate_path else 0
@@ -253,7 +217,7 @@ def save_encoders(encoder_location, df):
jsondata = {}
for cc in catcolumns:
jsondata[cc] = {cat: idx for idx, cat in enumerate(df[cc].cat.categories)}
-
+
with open(encoder_location, 'w') as f:
json.dump(jsondata, f)
@@ -261,14 +225,14 @@ def sagemaker_train(train_config, data_config, train_path, val_path, model_dir,
checkpoint_config):
metrics = metrics_mod.initialize()
hyperparameters = hpv.initialize(metrics)
-
+
price_limit = int(train_config.get('bonitoo_price_limit', 1000))
train_config = {k:v.replace('"', '') for k,v in train_config.items() if not k.startswith('sagemaker_') and not k.startswith('bonitoo_')}
train_config = hyperparameters.validate(train_config)
-
+
if train_config.get("updater"):
train_config["updater"] = ",".join(train_config["updater"])
-
+
logging.info("hyperparameters {}".format(train_config))
logging.info("channels {}".format(data_config))
@@ -324,7 +288,6 @@ def sagemaker_train(train_config, data_config, train_path, val_path, model_dir,
else:
raise exc.PlatformError("Number of hosts should be an int greater than or equal to 1")
-
def train_job(train_cfg, train_dmatrix, val_dmatrix, train_df, model_dir, checkpoint_dir, is_master):
# Parse arguments for train() API
early_stopping_rounds = train_cfg.get('early_stopping_rounds')
@@ -361,10 +324,6 @@ def train_job(train_cfg, train_dmatrix, val_dmatrix, train_df, model_dir, checkp
if val_dmatrix:
logging.info("Validation matrix has {} rows".format(val_dmatrix.num_row()))
- # TODO remove
- #logging.info("cols: %s", str(train_dmatrix.feature_names))
- #raise Exception("cols: %s" % str(train_dmatrix.feature_names))
-
try:
bst = xgb.train(train_cfg, train_dmatrix, num_boost_round=num_round, evals=watchlist, feval=configured_feval,
early_stopping_rounds=early_stopping_rounds, callbacks=callbacks, xgb_model=xgb_model,
@@ -389,8 +348,6 @@ def train_job(train_cfg, train_dmatrix, val_dmatrix, train_df, model_dir, checkp
bst.save_model(model_location)
logging.info("Stored trained model at {}".format(model_location))
-
-
if __name__ == '__main__':
with open(os.getenv(sm_env_constants.SM_INPUT_TRAINING_CONFIG_FILE), "r") as f:
train_config = json.load(f)