AGL-Fuego display change flow

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1 AGL-Fuego display change flow March 17, 2017 Japan Technical Jamboree 60 Song Cai Fujitsu TEN 1

2 Self Introduction 2 Song Cai (cais.fnst@cn.fujitsu.com) Linux Software Engineer (2014 ~ ) AGL (2016 ~ ) engaging on CIAT for AGL especially AGL-Fuego(also named AGL-JTA)

3 Agenda 3 What is AGL-Fuego How to use AGL-Fuego Introduce about CIAT.display Change display flow Future work

4 What is AGL-Fuego 4 automated test framework for AGL s LTSI based on Fuego formerly called JTA a Jenkins front-end and a host/target script engine official automated test framework for LTSI project features job triggers source code management & image build & image deploy tests executing & results publication advantages highly customizable flexible test configuration & running tests in batches easy & flexible board setup

5 How to use AGL-Fuego 5 add test case view add test case execute test on target board display result

6 How to use AGL-Fuego 6 add test case view dashboard-view-plugin required

7 7 How to use AGL-Fuego add test case test script (backend) job configuration (frontend) configuration of target board [optional] test spec & test plan [optional] reference docs/jta-docs.pdf docs/how-to-add-test-cases-on-jta.pdf docs/how-to-configure-ciat-on-agl-jta.pdf

8 How to use AGL-Fuego 8 execute test on target board Jenkins calls script engine first, then gathers test result/log from script engine script engine will do the work a. cross-compile test suite for target board b. load test suite to target board then execute c. gather test logs d. analyze result execute test script run test on board Jenkins (frontend) script engine (backend) return result return logs

9 How to use AGL-Fuego 9 display result

10 10 Introduce about CIAT.display CIAT.display A company s AGL-Fuego B company's AGL-Fuego C company's AGL-Fuego CIAT.upload public git repo CIAT.display my AGL-Fuego (compare & display) public git repo:

11 Introduce about CIAT.display 11 glance display & compare the result

12 12 Change display flow Html display flow present target parse Jenkins log parse device log create xml generate display create json generate display Present: 1. xml may be not the best choice to generate 2. Jenkins log is always huge 3. some process are redundant Solution: 1. replace xml with json 2. simplify the process

13 13 Change display flow Why JSON ( simplicity JSON has a much smaller grammar and maps more directly onto the data human readable JSON is much easier for human to read than XML better data exchange format JSON is a better data exchange format. XML is a better document exchange format. suited for python JSON is better suited for python data structures, such as dict. Jenkins owns many python scripts in backend. compatible for Jenkins JSON has been applied to Jenkins for benchmark suit, which is easy for reconstruction.

14 Change display flow 14 Functional test case Jenkins log before after Item Jenkins log comment information about case all output in process get_device_log device log output of case final result web page device log device log create xml generate create json generate Modification: 1. get device log directly 2. generate from json Advantage: 1. avoid parsing huge Jenkins log 2. simplify the process 3. expect to shorten execution time

15 Change display flow 15 Functional test case Jenkins log before after Item Jenkins log comment information about case all output in process get_device_log device log output of case final result web page device log device log create xml generate create json generate Modification: 1. get device log directly 2. generate from json Advantage: 1. avoid parsing huge Jenkins log 2. simplify the process 3. expect to shorten execution time

16 16 Change display flow Whole process of benchmark test device Jenkins deploy case device log reference log item device log reference log comment output of case threshold item run case parse res.json result data get log analyze save valuable but unused create res.json

17 17 Change display flow Benchmark test case before after Item Comment config_device config_device res.json information about case result data Jenkins log reference log res.json device.board device.board config_device board configuration file range of threshold final result web page parse parse create xml generate create json generate Modification: 1. avoid extra analysis of Jenkins log file 2. generate from json Advantage: 1. avoid parsing huge Jenkins log 2. simplify the process 3. expect to shorten execution time

18 18 Change display flow Benchmark test case before after Item Comment config_device config_device res.json information about case result data Jenkins log reference log res.json device.board device.board config_device board configuration file range of threshold final result web page parse parse create xml generate create json generate Modification: 1. avoid extra analysis of Jenkins log file 2. generate from json Advantage: 1. avoid parsing huge Jenkins log 2. simplify the process 3. expect to shorten execution time

19 Future work 19 LTP test suit Current solve the FAIL items in LTP cases pass LTP cases on R-car M3 and dragon board share results to AGL community future work feed back the change to the AGL community solve other items on R-car M3 and dragon board cooperate with fuego participate in improving AGL-Fuego and AGL s CIAT

20 Thank you! 20

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