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How to use make_report method in Lemoncheesecake
Best Python code snippet using lemoncheesecake
tasks.py
Source:tasks.py 
...125 terminate_status = event_job_status.job_status(job_id, stop_job=True)126 if terminate_status['status']:127 update_workflow_status(spec, status=False, error='', workflow=saga.job.CANCELED)128 msg = f"Workflow Canceled for handover {spec['handover_token']}"129 log_and_publish(make_report('INFO', msg, spec))130 # stop all running beekeeper jobs131 event_job_status.stop_hive_jobs(spec['hive_db_uri'])132 return terminate_status133 return event_status134 except Exception as e:135 raise Exception(str(e))136def restart_workflow(restart_type: str, spec: dict) -> bool:137 """[Restart Stopped/Failed Workflows]138 Args:139 restart_type (str): [Option to restart beekeeper/init/entire workflow ]140 spec (dict): [Workflow payload]141 Raises:142 Exception: [When failed to restart the workflow]143 Returns:144 [bool]: [Restart status]145 """ 146 try:147 update_workflow_status(spec, status=True, error='', workflow=states.STARTED)148 if restart_type == 'BEEKEEPER':149 current_job = spec['current_job']150 # set param init_pipeline to False to run beekeeper alone151 log_and_publish(make_report('INFO', f"RESTART {current_job['PipelineName']} Pipeline", spec))152 workflow_run_pipeline.delay(current_job, spec, init_pipeline=False)153 elif restart_type == 'INIT_PIPELINE':154 current_job = spec['current_job']155 log_and_publish(make_report('INFO', f"RESTART {current_job['PipelineName']} Pipeline", spec))156 workflow_run_pipeline.delay(current_job, spec)157 elif restart_type == 'SKIP_CURRENT_PIPELINE':158 current_job = spec['current_job']159 # set current job status to skipped for reference160 current_job['pipeline_status'] = 'SKIPPED'161 spec['completed_jobs'].append(current_job)162 log_and_publish(make_report('INFO', f"SKIPPED {current_job['PipelineName']} Pipeline", spec))163 monitor_process_pipeline.delay(spec)164 elif restart_type == 'WORKFLOW':165 current_job = [spec['current_job']]166 spec['flow'] = spec['completed_jobs'] + current_job + spec['flow']167 # reset the currentjob and completed job to null168 spec['current_job'] = {}169 spec['completed_jobs'] = []170 log_and_publish(make_report('INFO', 'Restart Entire Workflow', spec))171 workflow_run_pipeline.delay(current_job, spec)172 return True173 except Exception as e:174 raise Exception(str(e))175@app.task(bind=True, queue="event_job_status", default_retry_delay=120, max_retries=None)176def event_job_status(self, spec:dict, job_id, host:str) -> bool:177 """[Get Pipeline Status and update in ES]178 Args:179 spec ([dict]): [Workflow payload]180 job_id ([type]): [radical saga job id]181 host ([type]): [Host name where the job is running]182 Raises:183 self.retry: [When Job is running]184 Returns:185 [bool]: [Job status]186 """ 187 try:188 host_con_details = pycfg.__dict__[host]189 event_job_status = RemoteCmd(190 REMOTE_HOST=host_con_details.get('REMOTE_HOST', None),191 ADDRESS=host_con_details.get('ADDRESS', None),192 USER=host_con_details.get('USER', None),193 PASSWORD=host_con_details.get('PASSWORD', None),194 WORKING_DIR=host_con_details.get('WORKING_DIR', None),195 )196 event_status = event_job_status.job_status(job_id)197 if event_status['status']:198 if event_status['job_status'] in [saga.job.DONE]:199 # check if beekeeper is completed successfully200 beekeeper_status = event_job_status.beekeper_status(spec['hive_db_uri'])201 if beekeeper_status['status'] and beekeeper_status['value'] == 'NO_WORK':202 msg = f"Pipeline {spec['current_job']['PipelineName']} {saga.job.DONE} "203 spec['status'] = True204 spec['completed_jobs'].append(spec['current_job'])205 spec['current_job'] = {}206 log_and_publish(make_report('INFO', msg, spec))207 # start another pipeline208 monitor_process_pipeline.delay(spec)209 else:210 msg = f"Pipeline {spec['current_job']['PipelineName']} beekeeper failed {beekeeper_status['error']}"211 update_workflow_status(spec, status=False, error=beekeeper_status['value'],212 workflow=saga.job.FAILED)213 log_and_publish(make_report('ERROR', msg, spec))214 if event_status['job_status'] in [saga.job.SUSPENDED, saga.job.CANCELED, saga.job.FAILED, saga.job.UNKNOWN]:215 msg = f"Pipeline {spec['current_job']['PipelineName']} {event_status['job_status']}"216 update_workflow_status(spec, status=False, error=event_status['error'],217 workflow=event_status['job_status'])218 log_and_publish(make_report('ERROR', msg, spec))219 return False220 else:221 msg = f"Failed to fetch Pipeline {spec['current_job']['PipelineName']} status "222 update_workflow_status(spec, status=False, error=event_status['error'], workflow=saga.job.FAILED)223 log_and_publish(make_report('ERROR', msg, spec))224 return False225 except Exception as e:226 update_workflow_status(spec, status=False, error=str(e), workflow=saga.job.FAILED)227 log_and_publish(make_report('ERROR', str(e), spec))228 return False229 if event_status['status']:230 if event_status['job_status'] in [saga.job.PENDING, saga.job.RUNNING]:231 msg = f"Pipeline {spec['current_job']['PipelineName']} {saga.job.RUNNING}"232 spec_debug = {key: value for (key, value) in spec.items() if key not in ['flow', 'completed_jobs']}233 log_and_publish(make_report('DEBUG', msg, spec_debug))234 raise self.retry()235 return msg236@app.task(bind=True, queue="workflow", task_track_started=True,237 result_persistent=True)238def workflow_run_pipeline(self, run_job: dict, global_spec: dict, init_pipeline: Optional[bool]=True):239 """[Celery worker to initiate the pipeline and its beekeeper]240 Args:241 run_job (dict): [Current pipeline job to start]242 global_spec (dict): [Workflow information]243 init_pipeline (Optional[bool], optional): [to initiate the hive init_pipeline]. Defaults to True.244 Raises:245 ValueError: [When failed to initialize pipeline]246 Returns:247 [bool]: [pipeline initiation status]248 """ 249 try:250 temp = construct_pipeline(run_job, global_spec)251 # execute remote command over ssh252 # get fram login details based on host253 host = temp['HOST'] if temp['HOST'] else pycfg.DEFAULT_HOST254 host_con_details = pycfg.__dict__[host]255 exece = RemoteCmd(256 REMOTE_HOST=host_con_details.get('REMOTE_HOST', None),257 ADDRESS=host_con_details.get('ADDRESS', None),258 USER=host_con_details.get('USER', None),259 PASSWORD=host_con_details.get('PASSWORD', None),260 WORKING_DIR=host_con_details.get('WORKING_DIR', None),261 mysql_url=temp['mysql_url']262 )263 global_spec['task_id'] = self.request.id264 global_spec['hive_db_uri'] = temp['mysql_url']265 msg = f"Pipeline {run_job['PipelineName']} Intiated"266 log_and_publish(make_report('DEBUG', msg, global_spec))267 job = {'status': True}268 if init_pipeline:269 job = exece.run_job(command=' '.join(temp['init']['command']), args=temp['init']['args'],270 stdout=temp['init']['stdout'], stderr=temp['init']['stderr'], synchronus=True)271 if job['status']:272 job = exece.run_job(command=' '.join(temp['beekeeper']['command']),273 args=temp['beekeeper']['args'], stdout=temp['beekeeper']['stdout'],274 stderr=temp['beekeeper']['stderr'])275 if job['status']:276 global_spec['current_job']['job_id'] = job['job_id']277 global_spec['current_job']['HOST'] = host278 msg = f"Pipeline {run_job['PipelineName']} {job['state']}"279 log_and_publish(make_report('INFO', msg, global_spec))280 event_job_status.delay(global_spec, job['job_id'], host)281 else:282 raise ValueError(f"Pipeline {run_job['PipelineName']} failed : {job['error']}")283 else:284 raise ValueError(f"Pipeline {run_job['PipelineName']} failed: {job['error']}")285 return True286 except Exception as e:287 update_workflow_status(global_spec, status=False, error=str(e), workflow=saga.job.FAILED)288 log_and_publish(make_report('ERROR', str(e), global_spec))289 return f"{run_job['PipelineName']} : Exception error: {str(e)}"290@app.task(bind=True, queue="monitor")291def monitor_process_pipeline(self, spec: dict):292 """[Checks Workflows Status and pending pipelines to run]293 Args:294 spec (dict): [Workflow payload details]295 Returns:296 [bool]: [Workflow status]297 """ 298 try:299 if spec.get('status', False):300 if len(spec.get('flow', [])) > 0:301 job = spec['flow'].pop(0)302 spec['current_job'] = job303 spec['status'] = True304 spec['workflow'] = states.STARTED305 msg = f"Pipeline {job['PipelineName']} Started!"306 log_and_publish(make_report('INFO', msg, spec))307 # run pipeline job308 workflow_run_pipeline.delay(job, spec)309 elif len(spec.get('flow', [])) == 0:310 spec['status'] = True311 spec['current_job'] = {}312 spec['workflow'] = saga.job.DONE313 msg = f"Workflow completed for handover {spec['handover_token']}"314 log_and_publish(make_report('INFO', msg, spec))315 else:316 spec['status'] = False317 spec['workflow'] = saga.job.FAILED318 msg = f"Workflow failed to complete for handover {spec['handover_token']}"319 log_and_publish(make_report('ERROR', msg, spec))320 except Exception as e:321 update_workflow_status(spec, status=False, error=str(e), workflow=saga.job.FAILED)322 msg = f"Workflow failed to complete for handover {spec['handover_token']}: {str(e)}"323 log_and_publish(make_report('ERROR', msg, spec))324 return f"Error: {str(e)}"325 return True326def initiate_pipeline(spec: dict, event: Optional[dict]={}, rerun: Optional[bool]=False) -> dict:327 """[Prepare Workflow payload from handover payload and initialize it]328 Args:329 spec (dict): [Handover Payload specification] 330 event (Optional[dict], optional): [event received]. Defaults to {}.331 rerun (Optional[bool], optional): [rerun type]. Defaults to False.332 Raises:333 Exception: [When failed to prepare workflow payload]334 Returns:335 dict: [Workflow initialize status with payload information]336 """ 337 try:338 # prepare the payload with production pipelines based on dbtype and division339 spec.update(prepare_payload(spec))340 # set username to run the pipeline341 if not spec.get('user', None):342 spec['user'] = pycfg.FARM_USER343 # set hive url to run the pipelines344 if not spec.get('hive_url', None):345 spec['hive_url'] = pycfg.HIVE_URL346 if 'flow' not in spec or len(spec['flow']) == 0:347 raise Exception('Unable to construct workflow to run production pipeline.')348 # remove .....349 # spec['flow'] = [spec['flow'][0]]350 msg = f"Workflow Started for handover token {spec['handover_token']}"351 log_and_publish(make_report('INFO', msg, spec))352 # submit workflow to monitor queue353 monitor_process_pipeline.delay(spec)354 return {'status': True, 'error': '', 'spec': spec}355 except Exception as e:356 update_workflow_status(spec, status=False, error=str(e), workflow=saga.job.FAILED)357 msg = f"Workflow failed for handover token {spec['handover_token']}"358 log_and_publish(make_report('INFO', msg, spec))...
test_models.py
Source:test_models.py
...23 self.bench = Benchmark.objects.get(name='TestBench')24 def test_average_change_bad(self):25 self.make_result(12)26 s2 = self.make_result(15)27 rep = self.make_report(s2)28 self.assertEqual(rep.colorcode, 'red')29 def test_average_change_good(self):30 self.make_result(15)31 s2 = self.make_result(12)32 rep = self.make_report(s2)33 self.assertEqual(rep.colorcode, 'green')34 def test_within_threshold_none(self):35 self.make_result(15)36 s2 = self.make_result(15.2)37 rep = self.make_report(s2)38 self.assertEqual(rep.colorcode, 'none')39 def test_initial_revision_none(self):40 s2 = self.make_result(15)41 rep = self.make_report(s2)42 self.assertEqual(rep.colorcode, 'none')43 def test_bench_change_good(self):44 b1 = self.make_bench('b1')45 s1 = self.make_result(15)46 self.make_result(15, rev=s1, benchmark=b1)47 s2 = self.make_result(14.54)48 self.make_result(15, rev=s2, benchmark=b1)49 rep = self.make_report(s2)50 self.assertEqual(rep.colorcode, 'green')51 self.assertIn(self.bench.name, rep.summary)52 def test_bench_change_bad(self):53 b1 = self.make_bench('b1')54 s1 = self.make_result(15)55 self.make_result(15, rev=s1, benchmark=b1)56 s2 = self.make_result(15.46)57 self.make_result(15, rev=s2, benchmark=b1)58 rep = self.make_report(s2)59 self.assertEqual(rep.colorcode, 'red')60 self.assertIn(self.bench.name, rep.summary)61 # NOTE: Don't need to test with multiple projects since the calculation of62 # urgency doesn't take projects into account63 def test_average_change_beats_bench_change(self):64 b1 = self.make_bench('b1')65 s1 = self.make_result(15)66 self.make_result(15, rev=s1, benchmark=b1)67 s2 = self.make_result(14)68 self.make_result(15, rev=s2, benchmark=b1)69 rep = self.make_report(s2)70 self.assertIn('Average', rep.summary)71 def test_good_benchmark_change_beats_bad_average_trend(self):72 changes = self.make_bad_trend()73 b1 = self.make_bench('b1')74 for x in changes:75 s1 = self.make_result(x)76 if x != changes[-1]:77 self.make_result(x, rev=s1, benchmark=b1)78 self.make_result(changes[-2] * .97, rev=s1, benchmark=b1)79 rep = self.make_report(s1)80 self.assertEquals('green', rep.colorcode)81 self.assertIn('b1', rep.summary)82 def test_good_average_change_beats_bad_average_trend(self):83 changes = self.make_bad_trend()84 b1 = self.make_bench('b1')85 for x in changes:86 s1 = self.make_result(x)87 if x != changes[-1]:88 self.make_result(x, rev=s1, benchmark=b1)89 self.make_result(changes[-2] * .92, rev=s1, benchmark=b1)90 rep = self.make_report(s1)91 self.assertEquals('green', rep.colorcode)92 self.assertIn('Average', rep.summary)93 def test_good_change_beats_good_trend(self):94 changes = self.make_good_trend()95 b1 = self.make_bench('b1')96 for x in changes:97 s1 = self.make_result(x)98 if x != changes[-1]:99 self.make_result(x, rev=s1, benchmark=b1)100 self.make_result(changes[-2] * .95, rev=s1, benchmark=b1)101 rep = self.make_report(s1)102 self.assertIn('b1', rep.summary)103 self.assertNotIn('trend', rep.summary)104 def test_bad_trend_beats_good_trend(self):105 good_changes = self.make_good_trend()106 bad_changes = self.make_bad_trend()107 b1 = self.make_bench('b1')108 for i in range(len(good_changes)):109 s1 = self.make_result(good_changes[i])110 self.make_result(bad_changes[i], rev=s1, benchmark=b1)111 rep = self.make_report(s1)112 self.assertIn('trend', rep.summary)113 self.assertIn('b1', rep.summary)114 self.assertIn('yellow', rep.colorcode)115 def test_bad_change_beats_good_trend(self):116 changes = self.make_good_trend()117 b1 = self.make_bench('b1')118 for x in changes:119 s1 = self.make_result(x)120 if x != changes[-1]:121 self.make_result(x, rev=s1, benchmark=b1)122 self.make_result(changes[-2] * 1.05, rev=s1, benchmark=b1)123 rep = self.make_report(s1)124 self.assertIn('b1', rep.summary)125 self.assertNotIn('trend', rep.summary)126 self.assertEquals('red', rep.colorcode)127 def test_bad_beats_good_change(self):128 b1 = self.make_bench('b1')129 s1 = self.make_result(12)130 self.make_result(12, rev=s1, benchmark=b1)131 s2 = self.make_result(15)132 self.make_result(9, rev=s2, benchmark=b1)133 rep = self.make_report(s2)134 self.assertEqual(rep.colorcode, 'red')135 def test_bigger_bad_beats_smaller_bad(self):136 b1 = self.make_bench('b1')137 b2 = self.make_bench('b2')138 s1 = self.make_result(1.0)139 self.make_result(1.0, rev=s1, benchmark=b1)140 self.make_result(1.0, rev=s1, benchmark=b2)141 s2 = self.make_result(1.0)142 self.make_result(1.04, rev=s2, benchmark=b1)143 self.make_result(1.03, rev=s2, benchmark=b2)144 rep = self.make_report(s2)145 self.assertIn('b1', rep.summary)146 self.assertEquals('red', rep.colorcode)147 def test_multiple_quantities(self):148 b1 = self.make_bench('b1', quantity='Space', units='bytes')149 s1 = self.make_result(1.0)150 self.make_result(1.0, rev=s1, benchmark=b1)151 s2 = self.make_result(1.4)152 self.make_result(1.5, rev=s2, benchmark=b1)153 rep = self.make_report(s2)154 self.assertRegexpMatches(rep.summary, '[sS]pace')155 self.assertEquals('red', rep.colorcode)156 def make_result(self, value, rev=None, benchmark=None):157 from uuid import uuid4158 if not benchmark:159 benchmark = self.bench160 if not rev:161 commitdate = self.starttime + timedelta(days=self.days)162 cid = str(uuid4())163 Revision(commitid=cid, date=commitdate, branch=self.b,164 project=self.pro).save()165 rev = Revision.objects.get(commitid=cid)166 Result(value=value, revision=rev, executable=self.exe,167 environment=self.env, benchmark=benchmark).save()168 self.days += 1169 return rev170 def make_report(self, revision):171 Report(revision=revision, environment=self.env,172 executable=self.exe).save()173 return Report.objects.get(revision=revision)174 def make_bench(self, name, quantity='Time', units='seconds'):175 Benchmark(name=name, units_title=quantity, units=units).save()176 return Benchmark.objects.get(name=name)177 def make_bad_trend(self):178 return self.make_trend(1)179 def make_good_trend(self):180 return self.make_trend(-1)181 def make_trend(self, direction):182 return [1 + direction * x * 1.25 *183 settings.TREND_THRESHOLD / 100 / settings.TREND184 for x in range(settings.TREND)]...
test_record_attribute.py
Source:test_record_attribute.py
1import logging2import unittest3from logging import Formatter4from urllib.parse import quote5from flask import Flask6from logging_utilities.filters import ConstAttribute7from logging_utilities.filters.flask_attribute import FlaskRequestAttribute8app = Flask(__name__)9class RecordAttributesTest(unittest.TestCase):10 def setUp(self):11 super().setUp()12 self.maxDiff = None13 @classmethod14 def _configure_const_attribute(cls, logger):15 logger.setLevel(logging.DEBUG)16 for handler in logger.handlers:17 const_attribute = ConstAttribute(application="test_application")18 handler.addFilter(const_attribute)19 handler.setFormatter(Formatter("%(levelname)s:%(application)s:%(message)s"))20 @classmethod21 def _configure_flask_attribute(cls, logger):22 logger.setLevel(logging.DEBUG)23 for handler in logger.handlers:24 const_attribute = FlaskRequestAttribute(25 attributes=['url', 'method', 'headers', 'json', 'query_string']26 )27 handler.addFilter(const_attribute)28 handler.setFormatter(29 Formatter(30 "%(levelname)s:%(message)s:%(flask_request_url)s:%(flask_request_json)s:%(flask_request_query_string)s"31 )32 )33 def test_const_attribute(self):34 with self.assertLogs('test_formatter', level=logging.DEBUG) as ctx:35 logger = logging.getLogger('test_formatter')36 self._configure_const_attribute(logger)37 logger.info('Simple message')38 logger.info('Composed message: %s', 'this is a composed message')39 logger.info('Composed message %s', 'with extra', extra={'extra1': 23})40 self.assertEqual(41 ctx.output,42 [43 'INFO:test_application:Simple message',44 'INFO:test_application:Composed message: this is a composed message',45 'INFO:test_application:Composed message with extra'46 ]47 )48 def test_empty_flask_attribute(self):49 with self.assertLogs('test_formatter', level=logging.DEBUG) as ctx:50 logger = logging.getLogger('test_formatter')51 self._configure_flask_attribute(logger)52 logger.info('Simple message')53 logger.info('Composed message: %s', 'this is a composed message')54 logger.info('Composed message %s', 'with extra', extra={'extra1': 23})55 self.assertEqual(56 ctx.output,57 [58 'INFO:Simple message:::',59 'INFO:Composed message: this is a composed message:::',60 'INFO:Composed message with extra:::'61 ]62 )63 def test_flask_attribute_json(self):64 with self.assertLogs('test_formatter', level=logging.DEBUG) as ctx:65 logger = logging.getLogger('test_formatter')66 self._configure_flask_attribute(logger)67 with app.test_request_context('/make_report/2017', data={'format': 'short'}):68 logger.info('Simple message')69 logger.info('Composed message: %s', 'this is a composed message')70 logger.info('Composed message %s', 'with extra', extra={'extra1': 23})71 with app.test_request_context('/make_report/2017', data=''):72 logger.info('Simple message')73 with app.test_request_context(74 '/make_report/2017', data='non json data', content_type='application/json'75 ):76 logger.info('Simple message')77 with app.test_request_context(78 '/make_report/2017', data='{}', content_type='application/json'79 ):80 logger.info('Simple message')81 with app.test_request_context(82 '/make_report/2017',83 data='{"jsonData": "this is a json data"}',84 content_type='application/json'85 ):86 logger.info('Simple message')87 self.assertEqual(88 ctx.output,89 [90 # pylint: disable=line-too-long91 'INFO:Simple message:http://localhost/make_report/2017:None:',92 'INFO:Composed message: this is a composed message:http://localhost/make_report/2017:None:',93 'INFO:Composed message with extra:http://localhost/make_report/2017:None:',94 'INFO:Simple message:http://localhost/make_report/2017:None:',95 "INFO:Simple message:http://localhost/make_report/2017:b'non json data':",96 'INFO:Simple message:http://localhost/make_report/2017:{}:',97 "INFO:Simple message:http://localhost/make_report/2017:{'jsonData': 'this is a json data'}:",98 ]99 )100 def test_flask_attribute_query_string(self):101 with self.assertLogs('test_formatter', level=logging.DEBUG) as ctx:102 logger = logging.getLogger('test_formatter')103 self._configure_flask_attribute(logger)104 with app.test_request_context('/make_report/2017?param1=value1'):105 logger.info('Simple message')106 logger.info('Composed message: %s', 'this is a composed message')107 logger.info('Composed message %s', 'with extra', extra={'extra1': 23})108 with app.test_request_context('/make_report/2017?param1=value1¶m2=value2'):109 logger.info('Simple message')110 with app.test_request_context(f'/make_report/2017?param1={quote("This a string ?")}'):111 logger.info('Simple message')112 self.assertEqual(113 ctx.output,114 [115 # pylint: disable=line-too-long116 'INFO:Simple message:http://localhost/make_report/2017?param1=value1:None:param1=value1',117 'INFO:Composed message: this is a composed message:http://localhost/make_report/2017?param1=value1:None:param1=value1',118 'INFO:Composed message with extra:http://localhost/make_report/2017?param1=value1:None:param1=value1',119 'INFO:Simple message:http://localhost/make_report/2017?param1=value1¶m2=value2:None:param1=value1¶m2=value2',120 'INFO:Simple message:http://localhost/make_report/2017?param1=This%20a%20string%20%3F:None:param1=This%20a%20string%20%3F',121 ]...
run_application.py
Source:run_application.py
...23 scenario = killer_bots.KillerBotsScenario()24 core_logic.process_scenario(config, database, scenario) 25 else:26 print('%s is not a valid scenario' %(scenario_chosen))27def make_report(scenario_chosen):28 if scenario_chosen == 'chasing_target':29 config = config_application.ConfigChasingTarget()30 database = config_application.DatabaseConfig(config)31 report_writer.make_report(database, config.success_string)32 elif scenario_chosen == 'destroy_target':33 config = config_application.ConfigDestroyTarget()34 database = config_application.DatabaseConfig(config)35 report_writer.make_report(database, config.success_string)36 elif scenario_chosen == 'killer_bots':37 config = config_application.ConfigKillerBots()38 database = config_application.DatabaseConfig(config)39 report_writer.make_report(database, config.success_string)40 else:41 print('%s is not a valid scenario' %(scenario_chosen))42#def make_video(scenario_chosen):43# print("from the application folder and animation_control module")44def process_inputs(inputs):45 action_chosen = inputs[1]46 scenario_chosen = inputs[2]47 if action_chosen == 'do_scenario':48 do_scenario(scenario_chosen)49 #elif action_chosen == 'make_video':50 # make_video(scenario_chosen)51 elif action_chosen == 'make_report':52 make_report(scenario_chosen)53 else:54 print('%s is not a valid action' %(action_chosen))55def receive_inputs():56 inputs = sys.argv57 input_number_required = 358 if len(inputs) == input_number_required:59 process_inputs(inputs)60 else:61 print('Enter your scenario to process. Eg -'62 ' ```python3 run_application.py do_scenario chasing_target``` '63 'is a valid one')64receive_inputs()...
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