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Switch on some SQUISH tests
authorspo <sergey.pokhodenko@opencascade.com>
Tue, 13 Oct 2015 10:07:36 +0000 (13:07 +0300)
committerspo <sergey.pokhodenko@opencascade.com>
Tue, 13 Oct 2015 11:40:58 +0000 (14:40 +0300)
test.squish/suite_ISSUES/tst_532/verificationPoints/VP_EXTRUSION
test.squish/suite_ISSUES/tst_532/verificationPoints/VP_PARTITION
test_squish.sh
vnc.sh [deleted file]

index f39162a51f0fb227442ad838205bdfaa5f23f965..81bf82ac6c7787aaea2f515e7e67f61eb7e2fc9c 100644 (file)
@@ -1,11 +1 @@
-<?xml version='1.0' encoding='UTF-8' standalone='no'?>
-<VerificationPoint version="4" type="Screenshot">
- <Description/>
- <Verification type="PNG" object=":OpenParts*_AppElements_ViewPort">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<Mask>
-   <Rect width="496" x="54" y="146" height="315" type="positive"/>
-   <Rect width="32" x="363" y="235" height="26" type="negative"/>
-   <Rect width="22" x="435" y="279" height="16" type="negative"/>
-  </Mask>
-  <Algorithm description="Strict mode" name="strict"/>
- </Verification>
-</VerificationPoint>
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<Mask><Rect height="315" type="positive" width="496" x="54" y="146"/><Rect height="26" type="negative" width="32" x="363" y="235"/><Rect height="16" type="negative" width="22" x="435" y="279"/></Mask><Algorithm description="Strict mode" name="strict"/></Verification></VerificationPoint>
\ No newline at end of file
index 282f5768400244c881d0c381078b899b175964a1..c6588b3cc1e998450718064f0b8c3b1a75510756 100644 (file)
@@ -1,11 +1 @@
-<?xml version='1.0' encoding='UTF-8' standalone='no'?>
-<VerificationPoint version="4" type="Screenshot">
- <Description/>
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<Mask>
-   <Rect width="439" x="86" y="149" height="274" type="positive"/>
-   <Rect width="30" x="363" y="237" height="25" type="negative"/>
-   <Rect width="23" x="437" y="279" height="14" type="negative"/>
-  </Mask>
-  <Algorithm description="Strict mode" name="strict"/>
- </Verification>
-</VerificationPoint>
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<Mask><Rect height="274" type="positive" width="439" x="86" y="149"/><Rect height="25" type="negative" width="30" x="363" y="237"/><Rect height="14" type="negative" width="23" x="437" y="279"/></Mask><Algorithm description="Strict mode" name="strict"/></Verification></VerificationPoint>
\ No newline at end of file
index b1846e5b2ea93749b2e5dbb5cb57850190506cfa..ac29d492133e346d546e031a0fdcb06f95aa49f4 100755 (executable)
@@ -1,72 +1,96 @@
 #!/bin/bash
 
-a_dir=$(dirname $0)
+# This sctipt uses:
+# SOURCES_DIR - where test.squish is placed
+# AUT_DIR - where linux_run.sh, salome_run.sh are placed
+# SQUISH_PORT - the port for squishserver
+# PATH - should contain squishserver, squishrunner
 
-set -e
-
-if [ "$#" = 1 ]; then
-  SQUISHSERVER_PORT=$1
-elif [ -z ${SQUISHSERVER_PORT} ]; then
-  SQUISHSERVER_PORT=4320
-fi
-
-export TEST_DATA_DIR=$(cd ${a_dir}; pwd)/test.squish/shared/testdata
-
-source ${a_dir}/env_squish.sh
+export TEST_DATA_DIR=${SOURCES_DIR}/test.squish/shared/testdata
+export SQUISH_GRABWINDOW_CLASSES=AppElements_ViewPort,OCCViewer_ViewPort3d
 
+# config squishserver
 for aut in linux_run.sh salome_run.sh; do
-  squishserver --config addAUT ${aut} $(pwd)
+  squishserver --config addAUT ${aut} ${AUT_DIR}
 done
 squishserver --config setAUTTimeout 120
-squishserver --verbose --port=${SQUISHSERVER_PORT} --stop
-squishserver --verbose --port=${SQUISHSERVER_PORT} 1>log_squishserver 2>err_squishserver &
-
-squishrunner --port=${SQUISHSERVER_PORT} --config setCursorAnimation off
+# stop previous version
+squishserver --verbose --port=${SQUISH_PORT} --stop
+# start squishserver
+squishserver --verbose --port=${SQUISH_PORT} 1>log_squishserver 2>err_squishserver &
+
+# config squishrunner
+squishrunner --port=${SQUISH_PORT} --config setCursorAnimation off
+# start squishrunner
+SQUISHRUNNER_ARGS="${SQUISHRUNNER_ARGS} --port=${SQUISH_PORT}"
+#SQUISHRUNNER_ARGS="${SQUISHRUNNER_ARGS} --reportgen stdout"
+#SQUISHRUNNER_ARGS="${SQUISHRUNNER_ARGS} --exitCodeOnFail 1"
 
 RETVAL=0
 
-squishrunner_run() {
-  local suite=$1
-  local cases="$2"
-
-  echo "Running suite ${suite}"
-  if [ "${cases}" != "" ]; then echo "Cases ${cases}"; fi
-
-  set +e
-  squishrunner --port=${SQUISHSERVER_PORT} --testsuite ${suite} ${cases} --reportgen stdout --exitCodeOnFail 1
-  EXIT_CODE=$?
-  set -e
-  if [ ${EXIT_CODE} = '1' ]; then RETVAL=1; fi
-}
-
-squishrunner_batch() {
-  local suite=$1
-  local tests=$2
-
-  set +x
-  local tests_arg=
-  for test in ${tests}; do
-    tests_arg="${tests_arg} --testcase ${test}"
-  done
-  set -x
-
-  echo ${tests_arg}
-  squishrunner_run ${suite} "${tests_arg}"
-}
-
-#squishrunner_batch ./test.squish/suite_ISSUES 'tst_BASE tst_DISTANCE tst_PARALLEL_1 tst_PARALLEL_2 tst_PERPENDICULAR_1 tst_RADIUS tst_c tst_common_1 tst_crash_1 tst_818 tst_532'
-#squishrunner_batch ./test.squish/suite_ISSUES_SALOME 'tst_sketch_001 tst_sketch_002 tst_sketch_003 tst_sketch_004 tst_sketch_005 tst_sketch_006 tst_sketch_007 tst_sketch_008 tst_sketch_009 tst_sketch_010 tst_sketch_011 tst_474 tst_532 tst_576 tst_679'
-
-for suite in ./test.squish/suite_*; do
-  squishrunner_run ${suite}
-done
-
-
-
-
-squishserver --verbose --port=${SQUISHSERVER_PORT} --stop
+TESTCASES=""
+TESTCASES="${TESTCASES} --testcase tst_BASE"
+TESTCASES="${TESTCASES} --testcase tst_PARALLEL_1"
+TESTCASES="${TESTCASES} --testcase tst_PARALLEL_2"
+TESTCASES="${TESTCASES} --testcase tst_PERPENDICULAR_1"
+#TESTCASES="${TESTCASES} --testcase tst_532"
+TESTCASES="${TESTCASES} --testcase tst_818"
+TESTCASES="${TESTCASES} --testcase tst_c"
+TESTCASES="${TESTCASES} --testcase tst_common_1"
+TESTCASES="${TESTCASES} --testcase tst_crash_1"
+TESTCASES="${TESTCASES} --testcase tst_DISTANCE"
+TESTCASES="${TESTCASES} --testcase tst_RADIUS"
+squishrunner ${SQUISHRUNNER_ARGS} --testsuite ${SOURCES_DIR}/test.squish/suite_ISSUES ${TESTCASES}
+EXIT_CODE=$?
+if [ ${EXIT_CODE} = '1' ]; then RETVAL=1; fi
+
+TESTCASES=""
+TESTCASES="${TESTCASES} --testcase tst_474"
+#TESTCASES="${TESTCASES} --testcase tst_532"
+#TESTCASES="${TESTCASES} --testcase tst_576"
+#TESTCASES="${TESTCASES} --testcase tst_679"
+#TESTCASES="${TESTCASES} --testcase tst_903"
+#TESTCASES="${TESTCASES} --testcase tst_boolean_001"
+#TESTCASES="${TESTCASES} --testcase tst_boolean_002"
+#TESTCASES="${TESTCASES} --testcase tst_boolean_003"
+#TESTCASES="${TESTCASES} --testcase tst_construction_001"
+#TESTCASES="${TESTCASES} --testcase tst_extrusion_001"
+#TESTCASES="${TESTCASES} --testcase tst_extrusion_002"
+#TESTCASES="${TESTCASES} --testcase tst_extrusion_003"
+#TESTCASES="${TESTCASES} --testcase tst_extrusion_004"
+#TESTCASES="${TESTCASES} --testcase tst_extrusion_006"
+#TESTCASES="${TESTCASES} --testcase tst_partition_001"
+#TESTCASES="${TESTCASES} --testcase tst_revolution_001"
+#TESTCASES="${TESTCASES} --testcase tst_revolution_003"
+#TESTCASES="${TESTCASES} --testcase tst_revolution_004"
+#TESTCASES="${TESTCASES} --testcase tst_revolution_005"
+#TESTCASES="${TESTCASES} --testcase tst_revolution_006"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_001"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_002"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_003"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_004"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_005"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_006"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_007"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_008"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_009"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_010"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_011"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_012"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_013"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_014"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_015"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_016"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_017"
+#TESTCASES="${TESTCASES} --testcase tst_sketch_018"
+squishrunner ${SQUISHRUNNER_ARGS} --testsuite ${SOURCES_DIR}/test.squish/suite_ISSUES_SALOME ${TESTCASES}
+EXIT_CODE=$?
+if [ ${EXIT_CODE} = '1' ]; then RETVAL=1; fi
+
+# stop squishserver
+squishserver --verbose --port=${SQUISH_PORT} --stop
 for aut in linux_run.sh salome_run.sh; do
-  squishserver --config removeAUT ${aut} $(pwd)
+  squishserver --config removeAUT ${aut} ${AUT_DIR}
 done
 
 exit ${RETVAL}
diff --git a/vnc.sh b/vnc.sh
deleted file mode 100755 (executable)
index f1811b8..0000000
--- a/vnc.sh
+++ /dev/null
@@ -1,10 +0,0 @@
-#!/bin/bash -e
-
-if [ -z ${DISPLAY_PORT} ]; then
-  export DISPLAY_PORT=99
-fi
-
-echo "DISPLAY is :${DISPLAY_PORT}"
-
-export PATH=/dn23/NEWGEOM/NEWGEOM_JENKINS_BUILD_AREA/tools:/opt/TurboVNC/bin:${PATH}
-./vnc-run --server-num ${DISPLAY_PORT} -e err_vnc vglrun "$@"