| """ |
| Copyright (c) 2019, OptoFidelity OY |
| |
| Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: |
| |
| 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. |
| 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. |
| 3. All advertising materials mentioning features or use of this software must display the following acknowledgement: This product includes software developed by the OptoFidelity OY. |
| 4. Neither the name of the OptoFidelity OY nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. |
| |
| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY |
| EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED |
| WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE |
| DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY |
| DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES |
| (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; |
| LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND |
| ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
| (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS |
| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| """ |
| from genshi.template import MarkupTemplate |
| import numpy as np |
| from sqlalchemy import Column, DECIMAL, Integer, TIMESTAMP |
| from sqlalchemy.ext.declarative import declarative_base |
| |
| from ..testbase import TestBase, testclasscreator |
| from ..imagefactory import ImageFactory |
| from ..settings import settings, precision |
| from ..utils import Timer |
| from ..info.version import Version |
| import TPPTAnalysisSW.measurementdb as db |
| import TPPTAnalysisSW.analyzers as analyzers |
| import TPPTAnalysisSW.plot_factory as plot_factory |
| import TPPTAnalysisSW.plotinfo as plotinfo |
| |
| Base = declarative_base() |
| |
| |
| class OneFingerTapTestSQL(Base): |
| __tablename__ = 'tapping' |
| |
| max_input_error = Column(DECIMAL) |
| maxposerror = Column(DECIMAL) |
| max_edge_error = Column(DECIMAL) |
| |
| META_ID = Column(Integer, primary_key=True) |
| CREATED = Column(TIMESTAMP) |
| UPDATED = Column(TIMESTAMP) |
| |
| |
| class OneFingerTapTest(TestBase): |
| """ A dummy test class for use as a template in creating new test classes """ |
| |
| # This is the generator function for the class - it must exist in all derived classes |
| # Just update the id (dummy=99) and class name |
| @staticmethod |
| @testclasscreator(0) |
| def create_testclass(*args, **kwargs): |
| return OneFingerTapTest(*args, **kwargs) |
| |
| # Init function: make necessary initializations. |
| # Parent function initializes: self.test_id, self.test_item (dictionary, contains test_type_name) and self.testsession (dictionary) |
| def __init__(self, ddtest_row, *args, **kwargs): |
| """ Initializes a new OneFingerTapTest class """ |
| return super(OneFingerTapTest, self).__init__(ddtest_row, *args, **kwargs) |
| |
| # Override to make necessary analysis for test session success |
| def runanalysis(self, *args, **kwargs): |
| """ Runs the analysis, return a string containing the test result """ |
| results = self.read_test_results() |
| verdict = "Pass" if (results['max_input_verdict'] and results['missing_inputs_verdict']) else "Fail" |
| if settings['edgelimit'] >= 0: |
| if not results['missing_edge_inputs_verdict']: |
| verdict = "Fail" |
| |
| return verdict |
| |
| # Override to make necessary operations for clearing test results |
| # Clearing the test result from the results table is done elsewhere |
| def clearanalysis(self, *args, **kwargs): |
| """ Clears analysis results """ |
| ImageFactory.delete_images(self.test_id) |
| |
| # Create the test report. Return the created HTML, or raise cherrypy.HTTPError |
| def createreport(self, *args, **kwargs): |
| |
| self.clearanalysis() |
| |
| # Create common template parameters (including test_item dictionary, testsession dictionary, test_id, test_type_name etc) |
| templateParams = super(OneFingerTapTest, self).create_common_templateparams(**kwargs) |
| |
| t = Timer() |
| |
| # data for the report |
| results = self.read_test_results() |
| templateParams['results'] = results |
| |
| t.Time("Results") |
| |
| # set the content to be used |
| templateParams['test_page'] = 'test_one_finger_tap.html' |
| templateParams['version'] = Version |
| |
| template = MarkupTemplate(open("templates/test_common_body.html")) |
| stream = template.generate(**(templateParams)) |
| t.Time("Markup") |
| |
| verdict = "Pass" if (results['max_input_verdict'] and results['missing_inputs_verdict']) else "Fail" |
| if settings['edgelimit'] >= 0: |
| if not results['missing_edge_inputs_verdict']: |
| verdict = "Fail" |
| |
| return stream.render('xhtml'), verdict |
| |
| |
| # Create images for the report. If the function returns a value, it is used as the new image (including full path) |
| def createimage(self, imagepath, image_name, *args, **kwargs): |
| |
| if image_name == 'p2pdiff': |
| t = Timer(1) |
| dbsession = db.get_database().session() |
| dutinfo = plotinfo.TestDUTInfo(testdut_id=self.dut['id'], dbsession=dbsession) |
| results = self.read_test_results(dutinfo=dutinfo, dbsession=dbsession) |
| t.Time("Results") |
| title = 'Preview: One Finger Tap ' + self.dut['program'] |
| plot_factory.plot_taptest_on_target(imagepath, results, dutinfo, *args, title=title, **kwargs) |
| t.Time("Image") |
| elif image_name == 'p2pdxdy': |
| t = Timer(1) |
| results = self.read_test_results(**kwargs) |
| t.Time("Results") |
| plot_factory.plot_dxdy_graph(imagepath, results, 0.0, *args, **kwargs) |
| t.Time("Image") |
| elif image_name == 'p2pdxdyltd': |
| t = Timer(1) |
| results = self.read_test_results(**kwargs) |
| t.Time("Results") |
| plot_factory.plot_dxdy_graph(imagepath, results, 1.0, *args, **kwargs) |
| t.Time("Image") |
| elif image_name == 'p2pdxdyltdc': |
| t = Timer(1) |
| results = self.read_test_results(center_only=True) |
| t.Time("Results") |
| plot_factory.plot_dxdy_graph(imagepath, results, 1.0, *args, center_only=True, **kwargs) |
| t.Time("Image") |
| elif image_name == 'p2pdxdyltde': |
| t = Timer(1) |
| results = self.read_test_results(edge_only=True) |
| t.Time("Results") |
| plot_factory.plot_dxdy_graph(imagepath, results, 1.0, *args, edge_only=True, **kwargs) |
| t.Time("Image") |
| elif image_name == 'p2phistogram': |
| t = Timer(1) |
| results = self.read_test_results() |
| t.Time("Results") |
| plot_factory.plot_p2p_err_histogram(imagepath, results, 1.0, *args, edge_only=False, **kwargs) |
| t.Time("Image") |
| |
| return None |
| |
| def read_test_results(self, dutinfo = None, dbsession = None, **kwargs): |
| if dbsession is None: |
| dbsession = db.get_database().session() |
| if dutinfo is None: |
| dutinfo = plotinfo.TestDUTInfo(testdut_id=self.dut['id'], dbsession=dbsession) |
| |
| query = dbsession.query(db.OneFingerTapTest).filter(db.OneFingerTapTest.test_id==self.test_id).\ |
| order_by(db.OneFingerTapTest.id) |
| |
| passed_points = [] # These are tuple-tuples: ((target_x, target_y), (hit_x, hit_y)) |
| failed_points = [] |
| targets = [] |
| hits = [] # target points: ((target_x, target_y), radius) |
| missing = [] # target points ((target_x, target_y), radius) |
| missing_edge = [] |
| edge_points = 0 |
| max_input_error = analyzers.round_dec(0.0) |
| max_edge_error = analyzers.round_dec(0.0) |
| distances = [] |
| |
| for point in query: |
| target = analyzers.robot_to_target((point.robot_x, point.robot_y), dutinfo) |
| targets.append(target) |
| |
| edge_point = False |
| if analyzers.is_edge_point(target, dutinfo): |
| edge_point = True |
| edge_points += 1 |
| if 'center_only' in kwargs: |
| continue |
| else: |
| if 'edge_only' in kwargs: |
| continue |
| |
| if point.panel_x is None or point.panel_y is None: |
| missing.append((target, analyzers.get_max_error(target, dutinfo))) |
| if edge_point: |
| missing_edge.append((target, analyzers.get_max_error(target, dutinfo))) |
| |
| else: |
| max_error = analyzers.round_dec(analyzers.get_max_error(target, dutinfo)) |
| hits.append((target, max_error)) |
| hit = analyzers.panel_to_target((point.panel_x, point.panel_y), dutinfo) |
| distance = analyzers.round_dec(np.linalg.norm((hit[0]-target[0], hit[1]-target[1]))) |
| distances.append(float(distance)) |
| if distance > max_error: |
| failed_points.append((target, hit)) |
| else: |
| passed_points.append((target, hit)) |
| if edge_point: |
| if distance > max_edge_error: |
| max_edge_error = distance |
| else: |
| if distance > max_input_error: |
| max_input_error = distance |
| |
| max_input_verdict = (max_input_error < settings['maxposerror']) |
| if settings['edgelimit'] >= 0: |
| max_input_verdict = max_input_verdict and max_edge_error < settings['edgepositioningerror'] |
| |
| results = {'max_input_error': max_input_error, |
| 'edge_analysis_done': (settings['edgelimit'] >= 0), |
| 'max_edge_error': max_edge_error, |
| 'max_input_verdict': max_input_verdict, |
| 'total_points': len(targets), |
| 'edge_points': edge_points, |
| 'missing_inputs': len(missing), |
| 'missing_inputs_verdict': (len(missing) - len(missing_edge) <= settings['maxmissing']), |
| 'missing_edge_inputs': len(missing_edge), |
| 'missing_edge_inputs_verdict': (len(missing_edge) <= settings['maxedgemissing']), |
| 'passed_points': passed_points, |
| 'failed_points': failed_points, |
| 'targets': targets, |
| 'maxposerror': settings['maxposerror'], |
| 'hits': hits, |
| 'missing': missing, |
| 'distances': distances, |
| } |
| |
| if settings['edgelimit'] >= 0: |
| # Edge analysis |
| results['edgepositioningerror'] = settings['edgepositioningerror'] |
| results['images'] = [(ImageFactory.create_image_name(self.test_id, 'p2pdiff'), |
| ImageFactory.create_image_name(self.test_id, 'p2pdiff', 'detailed')), |
| (ImageFactory.create_image_name(self.test_id, 'p2pdxdy'), |
| ImageFactory.create_image_name(self.test_id, 'p2pdxdy', 'detailed')), |
| (ImageFactory.create_image_name(self.test_id, 'p2pdxdyltdc'), |
| ImageFactory.create_image_name(self.test_id, 'p2pdxdyltdc', 'detailed')), |
| (ImageFactory.create_image_name(self.test_id, 'p2pdxdyltde'), |
| ImageFactory.create_image_name(self.test_id, 'p2pdxdyltde', 'detailed')), |
| (ImageFactory.create_image_name(self.test_id, 'p2phistogram'), |
| ImageFactory.create_image_name(self.test_id, 'p2phistogram', 'detailed'))] |
| else: |
| results['images'] = [(ImageFactory.create_image_name(self.test_id, 'p2pdiff'), |
| ImageFactory.create_image_name(self.test_id, 'p2pdiff', 'detailed')), |
| (ImageFactory.create_image_name(self.test_id, 'p2pdxdy'), |
| ImageFactory.create_image_name(self.test_id, 'p2pdxdy', 'detailed')), |
| (ImageFactory.create_image_name(self.test_id, 'p2pdxdyltd'), |
| ImageFactory.create_image_name(self.test_id, 'p2pdxdyltd', 'detailed')), |
| (ImageFactory.create_image_name(self.test_id, 'p2phistogram'), |
| ImageFactory.create_image_name(self.test_id, 'p2phistogram', 'detailed'))] |
| |
| return results |
| |
| def create_sql_rows(self): |
| test_results = self.read_test_results() |
| rows = [] |
| rows.append(OneFingerTapTestSQL()) |
| rows[0].max_input_error = test_results['max_input_error'] |
| rows[0].maxposerror = test_results['maxposerror'] |
| rows[0].max_edge_error = test_results['max_edge_error'] |
| |
| return rows |
