# docker run --rm -e SONAR_HOST_URL="http://sonarqube:9000/sonarqube" -v "`pwd`:/usr/src" --network docker-gitlab_gitlab sonarsource/sonar-scanner-cli:4.6 -Dsonar.projectKey=nsa9pybot -Dsonar.working.directory=/usr/.scannerwork -Dsonar.login=4b358272f9a75fa6b3e5486b1890067633708e97 -Dsonar.python.version=3.9
INFO: Scanner configuration file: /opt/sonar-scanner/conf/sonar-scanner.properties
INFO: Project root configuration file: NONE
INFO: SonarScanner 4.6.2.2472
INFO: Java 11.0.14 Alpine (64-bit)
INFO: Linux 5.10.61-gentoo-x86_64 amd64
INFO: User cache: /opt/sonar-scanner/.sonar/cache
INFO: Scanner configuration file: /opt/sonar-scanner/conf/sonar-scanner.properties
INFO: Project root configuration file: NONE
INFO: Analyzing on SonarQube server 9.3.0
INFO: Default locale: "en_US", source code encoding: "UTF-8" (analysis is platform dependent)
INFO: Load global settings
INFO: Load global settings (done) | time=60ms
INFO: Server id: B7285AAD-AXRzjAKIfkb01VGLth8x
INFO: User cache: /opt/sonar-scanner/.sonar/cache
INFO: Load/download plugins
INFO: Load plugins index
INFO: Load plugins index (done) | time=41ms
INFO: Load/download plugins (done) | time=1315ms
INFO: Process project properties
INFO: Process project properties (done) | time=0ms
INFO: Execute project builders
INFO: Execute project builders (done) | time=1ms
INFO: Project key: nsa9pybot
INFO: Base dir: /usr/src
INFO: Working dir: /usr/.scannerwork
INFO: Load project settings for component key: 'nsa9pybot'
INFO: Load project settings for component key: 'nsa9pybot' (done) | time=12ms
INFO: Load quality profiles
INFO: Load quality profiles (done) | time=34ms
INFO: Load active rules
INFO: Load active rules (done) | time=877ms
WARN: SCM provider autodetection failed. Please use "sonar.scm.provider" to define SCM of your project, or disable the SCM Sensor in the project settings.
INFO: Indexing files...
INFO: Project configuration:
INFO: 1 file indexed
INFO: Quality profile for py: Sonar way
INFO: ------------- Run sensors on module nsa9pybot
INFO: Load metrics repository
INFO: Load metrics repository (done) | time=20ms
INFO: Sensor Python Sensor [python]
INFO: Starting global symbols computation
INFO: 1 source file to be analyzed
INFO: Load project repositories
INFO: 1/1 source file has been analyzed
INFO: Starting rules execution
INFO: 1 source file to be analyzed
INFO: 1/1 source file has been analyzed
INFO: Sensor Python Sensor [python] (done) | time=518ms
INFO: Sensor Cobertura Sensor for Python coverage [python]
INFO: Sensor Cobertura Sensor for Python coverage [python] (done) | time=8ms
INFO: Sensor PythonXUnitSensor [python]
INFO: Sensor PythonXUnitSensor [python] (done) | time=0ms
INFO: Sensor JaCoCo XML Report Importer [jacoco]
INFO: 'sonar.coverage.jacoco.xmlReportPaths' is not defined. Using default locations: target/site/jacoco/jacoco.xml,target/site/jacoco-it/jacoco.xml,build/reports/jacoco/test/jacocoTestReport.xml
INFO: No report imported, no coverage information will be imported by JaCoCo XML Report Importer
INFO: Sensor JaCoCo XML Report Importer [jacoco] (done) | time=3ms
INFO: Sensor CSS Rules [javascript]
INFO: No CSS, PHP, HTML or VueJS files are found in the project. CSS analysis is skipped.
INFO: Sensor CSS Rules [javascript] (done) | time=1ms
INFO: Sensor C# Project Type Information [csharp]
INFO: Sensor C# Project Type Information [csharp] (done) | time=0ms
INFO: Sensor C# Analysis Log [csharp]
INFO: Sensor C# Analysis Log [csharp] (done) | time=11ms
INFO: Sensor C# Properties [csharp]
INFO: Sensor C# Properties [csharp] (done) | time=0ms
INFO: Sensor HTML [web]
INFO: Sensor HTML [web] (done) | time=2ms
INFO: Sensor Text Sensor [text]
INFO: 1 source file to be analyzed
INFO: 1/1 source file has been analyzed
INFO: Sensor Text Sensor [text] (done) | time=7ms
INFO: Sensor VB.NET Project Type Information [vbnet]
INFO: Sensor VB.NET Project Type Information [vbnet] (done) | time=1ms
INFO: Sensor VB.NET Analysis Log [vbnet]
INFO: Sensor VB.NET Analysis Log [vbnet] (done) | time=14ms
INFO: Sensor VB.NET Properties [vbnet]
INFO: Sensor VB.NET Properties [vbnet] (done) | time=0ms
INFO: ------------- Run sensors on project
INFO: Sensor Zero Coverage Sensor
INFO: Sensor Zero Coverage Sensor (done) | time=7ms
INFO: SCM Publisher No SCM system was detected. You can use the 'sonar.scm.provider' property to explicitly specify it.
INFO: CPD Executor Calculating CPD for 1 file
INFO: CPD Executor CPD calculation finished (done) | time=9ms
INFO: ------------------------------------------------------------------------
INFO: EXECUTION FAILURE
INFO: ------------------------------------------------------------------------
INFO: Total time: 5.531s
INFO: Final Memory: 18M/120M
INFO: ------------------------------------------------------------------------
ERROR: Error during SonarScanner execution
java.lang.NullPointerException
at org.sonar.scanner.report.ComponentsPublisher.convert(ComponentsPublisher.java:103)
at org.sonar.scanner.report.ComponentsPublisher.publish(ComponentsPublisher.java:68)
at org.sonar.scanner.report.ReportPublisher.generateReportFile(ReportPublisher.java:163)
at org.sonar.scanner.report.ReportPublisher.execute(ReportPublisher.java:137)
at org.sonar.scanner.scan.ProjectScanContainer.doAfterStart(ProjectScanContainer.java:357)
at org.sonar.core.platform.ComponentContainer.startComponents(ComponentContainer.java:137)
at org.sonar.core.platform.ComponentContainer.execute(ComponentContainer.java:123)
at org.sonar.scanner.bootstrap.GlobalContainer.doAfterStart(GlobalContainer.java:136)
at org.sonar.core.platform.ComponentContainer.startComponents(ComponentContainer.java:137)
at org.sonar.core.platform.ComponentContainer.execute(ComponentContainer.java:123)
at org.sonar.batch.bootstrapper.Batch.doExecute(Batch.java:72)
at org.sonar.batch.bootstrapper.Batch.execute(Batch.java:66)
at org.sonarsource.scanner.api.internal.batch.BatchIsolatedLauncher.execute(BatchIsolatedLauncher.java:46)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at org.sonarsource.scanner.api.internal.IsolatedLauncherProxy.invoke(IsolatedLauncherProxy.java:60)
at com.sun.proxy.$Proxy0.execute(Unknown Source)
at org.sonarsource.scanner.api.EmbeddedScanner.doExecute(EmbeddedScanner.java:189)
at org.sonarsource.scanner.api.EmbeddedScanner.execute(EmbeddedScanner.java:138)
at org.sonarsource.scanner.cli.Main.execute(Main.java:112)
at org.sonarsource.scanner.cli.Main.execute(Main.java:75)
at org.sonarsource.scanner.cli.Main.main(Main.java:61)
ERROR:
ERROR: Re-run SonarScanner using the -X switch to enable full debug logging.
# cat t.py
import numpy as np
def getpixelinfo(location):
pixels = {
"A": {
"pixelsx": np.array([81, 107, 108, 81, 64, 84, 157, 179, 172], dtype=int),
"pixelsy": np.array([55, 55, 97, 98, 158, 169, 170, 147, 191], dtype=int),
"expected": np.array([255, 255, 255, 255, 255, 0, 255, 0, 0], dtype=int)
},
"B": {
"pixelsx": np.array([28, 210, 1271, 106, 497, 1292, 1689, 1682, 1672, 1413, 1299, 1710, 491, 76, 126,
578, 92, 288, 460, 762, 924, 1479, 1745, 1308, 1528, 1618, 1400, 303, 89,
804], dtype=int),
"pixelsy": np.array([53, 44, 41, 391, 372, 399, 402, 264, 619, 620, 784, 782, 806, 779, 566, 568, 964,
968, 965, 912, 916, 946, 935, 1059, 1059, 1057, 1057, 1055, 1053,
1058], dtype=int),
"expected": np.array([0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 0, 0, 255,
255, 0, 0, 0, 0, 255], dtype=int)
},
"C": {
# just press play
"pixelsx": np.array([23, 20, 104, 361, 1246, 1521, 1804, 1840, 1689, 1423, 593, 91, 115, 572, 1426,
1786, 1798, 1306, 73, 315, 425, 672, 1246, 1499, 1612, 1839, 1850, 1565, 501, 380,
108, 110, 643, 1357, 1701], dtype=int),
"pixelsy": np.array([18, 115, 27, 44, 49, 43, 261, 288, 282, 287, 267, 283, 474, 460, 477, 465, 636,
605, 647, 736, 743, 744, 739, 748, 758, 763, 996, 979, 968, 991, 973, 1058, 1057,
1067, 1057], dtype=int),
"expected": np.array([255, 255, 255, 255, 0, 0, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255,
255, 255, 0, 0, 0, 0, 255, 0, 0, 0, 0, 0, 0], dtype=int)
},
"D": {
"pixelsx": np.array([19, 23, 108, 363, 1487, 1863, 23, 30, 35, 37, 294, 424, 530, 635, 794, 919, 962,
1058, 1214, 1307, 1419, 1528, 1590, 1689, 1755, 1839, 1858, 438, 1046, 1525,
1858], dtype=int),
"pixelsy": np.array([19, 102, 34, 47, 41, 39, 240, 593, 1019, 1050, 1057, 1058, 1054, 1058, 1057, 1046,
1045, 1059, 1059, 1057, 1059, 1057, 1059, 1053, 1057, 1061, 997, 244, 251, 258,
261], dtype=int),
"expected": np.array([255, 255, 255, 255, 0, 255, 0, 0, 0, 0, 0, 255, 0, 255, 0, 255, 255, 0, 0, 255,
0, 255, 0, 0, 255, 0, 0, 0, 0, 0, 0], dtype=int)
},
"E": {
"pixelsx": np.array([24, 111, 30, 361, 1246, 1490, 1866, 139, 280, 418, 426, 279, 130, 754, 732, 736,
176, 403, 605, 440, 453, 486, 429, 352, 552, 622, 480], dtype=int),
"pixelsy": np.array([19, 27, 90, 47, 43, 37, 41, 911, 912, 907, 986, 997, 991, 540, 521, 556, 811, 814,
807, 681, 575, 479, 354, 269, 275, 983, 955], dtype=int),
"expected": np.array([255, 255, 255, 255, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0,
0, 0, 0, 0, 0, 0, 0, 255, 255], dtype=int)
},
"F": {
"pixelsx": np.array([428, 621, 816, 1269, 1637, 1837, 1837, 1796, 1795, 1252, 1148, 1130, 1079, 1074,
1005, 1024, 1043, 1018, 958, 904, 859, 740, 695, 116, 817, 1643, 1461,
144], dtype=int),
"pixelsy": np.array([50, 48, 54, 64, 40, 360, 402, 402, 359, 544, 545, 501, 558, 509, 514, 510, 506,
543, 550, 550, 547, 548, 446, 612, 606, 613, 1015, 1009], dtype=int),
"expected": np.array([0, 0, 0, 0, 0, 255, 255, 255, 255, 0, 0, 255, 255, 0, 255, 0, 255, 0, 255, 0,
255, 0, 0, 0, 0, 0, 0, 0], dtype=int)
},
"G": {
"pixelsx": np.array([336, 438, 944, 908, 392, 596, 1110, 88, 348, 566], dtype=int),
"pixelsy": np.array([80, 78, 84, 148, 144, 110, 154, 160, 192, 184], dtype=int),
"expected": np.array([0, 255, 255, 255, 255, 255, 255, 0, 0, 0], dtype=int)
},
"H": {
"pixelsx": np.array([28, 108, 36, 358, 1864, 662, 974, 1338, 44, 36, 234, 922, 946, 770, 1368, 1398,
1214, 1816, 1844, 1674, 40, 1292, 1878], dtype=int),
"pixelsy": np.array([22, 36, 82, 42, 36, 284, 294, 306, 496, 576, 668, 584, 586, 792, 586, 586, 818,
582, 584, 788, 1016, 1008, 1004], dtype=int),
"expected": np.array([255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 0, 255, 255, 0, 255, 255,
0, 0, 0, 0], dtype=int)
},
"I": {
"pixelsx": np.array([48, 1808, 872, 1472, 858, 180, 1278, 1772, 1206, 836, 146, 46, 316, 670, 1108,
232, 176, 240, 974, 1488, 1722, 1822, 1708, 1076], dtype=int),
"pixelsy": np.array([34, 90, 392, 364, 264, 648, 742, 688, 768, 982, 820, 976, 86, 196, 148, 934, 934,
660, 770, 626, 876, 428, 124, 246], dtype=int),
"expected": np.array([0, 0, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 255, 255, 0, 0, 0, 0, 0, 0,
0], dtype=int,)
}
}
try:
return pixels[location]["pixelsx"], pixels[location]["pixelsy"], pixels[location]["expected"]
except KeyError:
return np.array([], dtype=int), np.array([], dtype=int), np.array([], dtype=int)