15b1bdca1e
Add a test that verifies the Tux logo is displayed on the framebuffer. We simply follow the OpenCV "Template Matching with Multiple Objects" tutorial, replacing Lionel Messi by Tux: https://docs.opencv.org/4.2.0/d4/dc6/tutorial_py_template_matching.html When OpenCV and NumPy are installed, this test can be run using: $ AVOCADO_ALLOW_UNTRUSTED_CODE=hmmm \ avocado --show=app,framebuffer run -t device:framebuffer \ tests/acceptance/machine_arm_integratorcp.py JOB ID : 8c46b0f8269242e87d738247883ea2a470df949e JOB LOG : avocado/job-results/job-2020-01-31T21.38-8c46b0f/job.log (1/1) tests/acceptance/machine_arm_integratorcp.py:IntegratorMachine.test_framebuffer_tux_logo: framebuffer: found Tux at position [x, y] = (0, 0) PASS (3.96 s) RESULTS : PASS 1 | ERROR 0 | FAIL 0 | SKIP 0 | WARN 0 | INTERRUPT 0 | CANCEL 0 JOB TIME : 4.23 s Signed-off-by: Philippe Mathieu-Daudé <f4bug@amsat.org> Reviewed-by: Wainer dos Santos Moschetta <wainersm@redhat.com> Message-id: 20200225172501.29609-5-philmd@redhat.com Message-Id: <20200131211102.29612-3-f4bug@amsat.org> Signed-off-by: Philippe Mathieu-Daudé <f4bug@amsat.org> Signed-off-by: Peter Maydell <peter.maydell@linaro.org>
100 lines
3.6 KiB
Python
100 lines
3.6 KiB
Python
# Functional test that boots a Linux kernel and checks the console
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#
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# Copyright (c) 2020 Red Hat, Inc.
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#
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# Author:
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# Thomas Huth <thuth@redhat.com>
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#
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# This work is licensed under the terms of the GNU GPL, version 2 or
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# later. See the COPYING file in the top-level directory.
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import os
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import logging
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from avocado import skipUnless
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from avocado_qemu import Test
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from avocado_qemu import wait_for_console_pattern
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NUMPY_AVAILABLE = True
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try:
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import numpy as np
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except ImportError:
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NUMPY_AVAILABLE = False
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CV2_AVAILABLE = True
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try:
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import cv2
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except ImportError:
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CV2_AVAILABLE = False
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class IntegratorMachine(Test):
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timeout = 90
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def boot_integratorcp(self):
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kernel_url = ('https://github.com/zayac/qemu-arm/raw/master/'
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'arm-test/kernel/zImage.integrator')
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kernel_hash = '0d7adba893c503267c946a3cbdc63b4b54f25468'
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kernel_path = self.fetch_asset(kernel_url, asset_hash=kernel_hash)
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initrd_url = ('https://github.com/zayac/qemu-arm/raw/master/'
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'arm-test/kernel/arm_root.img')
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initrd_hash = 'b51e4154285bf784e017a37586428332d8c7bd8b'
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initrd_path = self.fetch_asset(initrd_url, asset_hash=initrd_hash)
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self.vm.set_console()
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self.vm.add_args('-kernel', kernel_path,
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'-initrd', initrd_path,
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'-append', 'printk.time=0 console=ttyAMA0')
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self.vm.launch()
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@skipUnless(os.getenv('AVOCADO_ALLOW_UNTRUSTED_CODE'), 'untrusted code')
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def test_integratorcp_console(self):
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"""
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Boots the Linux kernel and checks that the console is operational
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:avocado: tags=arch:arm
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:avocado: tags=machine:integratorcp
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:avocado: tags=device:pl011
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"""
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self.boot_integratorcp()
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wait_for_console_pattern(self, 'Log in as root')
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@skipUnless(NUMPY_AVAILABLE, 'Python NumPy not installed')
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@skipUnless(CV2_AVAILABLE, 'Python OpenCV not installed')
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@skipUnless(os.getenv('AVOCADO_ALLOW_UNTRUSTED_CODE'), 'untrusted code')
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def test_framebuffer_tux_logo(self):
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"""
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Boot Linux and verify the Tux logo is displayed on the framebuffer.
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:avocado: tags=arch:arm
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:avocado: tags=machine:integratorcp
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:avocado: tags=device:pl110
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:avocado: tags=device:framebuffer
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"""
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screendump_path = os.path.join(self.workdir, "screendump.pbm")
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tuxlogo_url = ('https://github.com/torvalds/linux/raw/v2.6.12/'
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'drivers/video/logo/logo_linux_vga16.ppm')
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tuxlogo_hash = '3991c2ddbd1ddaecda7601f8aafbcf5b02dc86af'
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tuxlogo_path = self.fetch_asset(tuxlogo_url, asset_hash=tuxlogo_hash)
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self.boot_integratorcp()
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framebuffer_ready = 'Console: switching to colour frame buffer device'
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wait_for_console_pattern(self, framebuffer_ready)
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self.vm.command('human-monitor-command', command_line='stop')
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self.vm.command('human-monitor-command',
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command_line='screendump %s' % screendump_path)
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logger = logging.getLogger('framebuffer')
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cpu_count = 1
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match_threshold = 0.92
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screendump_bgr = cv2.imread(screendump_path)
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screendump_gray = cv2.cvtColor(screendump_bgr, cv2.COLOR_BGR2GRAY)
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result = cv2.matchTemplate(screendump_gray, cv2.imread(tuxlogo_path, 0),
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cv2.TM_CCOEFF_NORMED)
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loc = np.where(result >= match_threshold)
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tux_count = 0
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for tux_count, pt in enumerate(zip(*loc[::-1]), start=1):
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logger.debug('found Tux at position [x, y] = %s', pt)
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self.assertGreaterEqual(tux_count, cpu_count)
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