2. Session 1 Introduction  What is RADE  Technology  Palette  Tools  Template  Combined Example  How to get RADE  Questions? RADE Applications EN-ICE-MTA 2

3. Session 2 “Hands On RADE”  Exercises: ◦ JAPC ◦ Logging DB access ◦ Generic DB access ◦ CMW ◦ RBAC ◦ SDDS 3 RADE Applications EN-ICE-MTA

4. LabVIEW programming language  Integration with the control infrastructure our contribution  Fast programming  Rapid learning curve  Drag and drop GUI development  Wide range of analysis libraries  Light/independent environment 4 RADE Applications EN-ICE-MTA

5.  Short development time applications (e.g. specific analysis)  Punctually used applications (e.g. expert diagnostics)  Rapidly evolving applications (e.g. machine development)  Applications for stand-alone systems (e.g. test facilities) 5 RADE Applications EN-ICE-MTA

6. Building blocks 1. Installation  Clear LabVIEW version policy  NFS installation for Linux  Windows TS installation  Application server  RADE installer 2. Control Integration  Maintained interface libraries - CMW- PLC - RBAC- RADAR - SDDS- DIP - DB - JAPC 6 RADE Applications EN-ICE-MTA

7. RADE for expert diagnostics Java GUI JAPC Server app Equip. driver FESA Equipment LV app CMW+RBAC 7 RADE Applications EN-ICE-MTA

8. SPS Power Converter View 8 RADE Applications EN-ICE-MTA

9. RADE for machine development Java GUI JAPC Server app Equip. driver FESA Equipment LV GUI 9 RADE Applications EN-ICE-MTA

10. Bunch Shape Measurement (BE-OP) 10 RADE Applications EN-ICE-MTA

11. RADE for stand-alone systems Java GUI JAPC Server app Equip. driver FESA Equipment SDDSLogging DBLV app 11 RADE Applications EN-ICE-MTA

12. Post Mortem Analysis (BE-OP) 12 RADE Applications EN-ICE-MTA

13. 4. Development help  Defined GUI  Application templates  Configuration files  Documentation (edms)  Training (cta)  RADE Events (indico) Building blocks 3. Support  InfoWebpage (http://cern.ch/rade)  Mailing list (rade-users@cern.ch)  User support 1. Installation  Clear LabVIEW version policy  NFS installation for Linux  Windows TS installation  Application server  RADE installer 2. Control Integration  Maintained interface libraries - CMW- PLC - RBAC- RADAR - SDDS- DIP - SQL - JAPC 13 RADE Applications EN-ICE-MTA

14. The framework Training Support LabVIEW Defined GUI Application templates Configuration files Documentation Data Bases SDDS JAPC libs 14 RADE Applications EN-ICE-MTA

15. 15 RADE Applications EN-ICE-MTA

16. 16

17. RADE Applications EN-ICE-MTA 17

18.  CERN Database connections ◦ SQL plus ◦ Java DB query ◦ Java DB signal extraction  Live data from the front-ends ◦ CMW Wrapper ◦ JAPC  Offline data from the front-ends ◦ SDDS  Authentication and Authorization ◦ RBAC RADE Applications EN-ICE-MTA 18

19. Tools  SQL plus  Java DB Query  Java DB Signal Extraction RADE Applications EN-ICE-MTA 19

20. DB VI Java ServerSQL+ OS? WindowsLinux Sw LabVIEW Oracle 20 RADE Applications EN-ICE-MTA

21. 21 RADE Applications EN-ICE-MTA

22. Query DB access parameters 22 RADE Applications EN-ICE-MTA Table

23. 23 RADE Applications EN-ICE-MTA

24. Query User input 24 RADE Applications EN-ICE-MTA Table DB access parameters

25. 25 RADE Applications EN-ICE-MTA

26. 26  Dedicated DB query tool to extract signals from the database

27. RADE Applications EN-ICE-MTA 27

28. Tools  CMW Wrapper  JAPC RADE Applications EN-ICE-MTA 28

29. CMW Wrapper Provides GET, SET and Subscription possibilities for any RDA supported device; Both Windows and Linux platform supported; Based on standard LabVIEW design: “Open, Use, Close”. 29 RADE Applications EN-ICE-MTA

30. CMW VIs User VIs DLL based on CMW for C++ FESA class instances sync, async subscription CMW Wrapper CMW Wrapper 30 RADE Applications EN-ICE-MTA

31. CMW functions palette 31 RADE Applications EN-ICE-MTA

32. CMW binary palette 32 RADE Applications EN-ICE-MTA

33. Example GET 33 RADE Applications EN-ICE-MTA

34. Example with new VIs 34 RADE Applications EN-ICE-MTA

35. Example SET 35 RADE Applications EN-ICE-MTA

36. Example SET with new VIs 36 RADE Applications EN-ICE-MTA

37. Subscription example 37 RADE Applications EN-ICE-MTA

38. Code 38 RADE Applications EN-ICE-MTA

39. JAPC Provides GET, SET and Subscription possibilities for any JAPC supported device; Both Windows and Linux platform supported; Based on object oriented representation. 39 RADE Applications EN-ICE-MTA

40. Architecture JAPC 40 RADE Applications EN-ICE-MTA

41. JAPC functions palette 41 RADE Applications EN-ICE-MTA

42. JAPC Example GET 42 RADE Applications EN-ICE-MTA

43. JAPC example get 43 RADE Applications EN-ICE-MTA

44. Tool  SDDS RADE Applications EN-ICE-MTA 44

45. Self Describing Data Sets is a way of storing and working with data SDDS is based on two concepts : the use of self describing data files and the use of a set of programs that operate on such files. SDDS files are used to store Post Mortem and similar event data 45RADE Applications EN-ICE-MTA

46. Header Data 46RADE Applications EN-ICE-MTA

47. 47RADE Applications EN-ICE-MTA

48. 48RADE Applications EN-ICE-MTA

49. PM server LOGGING DB LSA DB LHC-LAYOUT DB 49RADE Applications EN-ICE-MTA

50. 50RADE Applications EN-ICE-MTA

51. Tool  RBAC RADE Applications EN-ICE-MTA51

52. RBAC Both Windows and Linux (SLC4) platform supported Returns all fields from “TokenClass” (A1) definition Can be used to authorize and authenticate RDA driven front ends Typical LabVIEW design: “open, use, close” 52 RADE Applications EN-ICE-MTA

53. Inside RBAC RBAC communication principle Authentication: 1.User requests to be authenticated. 2.RBAC authenticates user via NICE user name and password or CERN certificate 3.RBA returns token to Application Authorization (in progress): 4.Application sends token to CMW when connecting. 5. CMW/FEC verifies token signature once, and uses the credentials for every subsequent request 6. CMW checks access map for role, location, application, mode 53 RADE Applications EN-ICE-MTA

54. Toolkit Content “Create Token” – Generates the token ID trough calling: tokenMap[Count++] = new RBAC::TokenClass(appNameIn,userNameIn,passWordIn); – Password is suppressed – Token ID is used to retrieve all token fields 54 RADE Applications EN-ICE-MTA

55. Toolkit Content “Get all token fields” 55 RADE Applications EN-ICE-MTA

56. Toolkit Content “Get Binary token” – A binary representation of all the token fields 56 RADE Applications EN-ICE-MTA

57. Toolkit Content “Destroy Token” – Destroys the token based upon Token ID 57 RADE Applications EN-ICE-MTA

58. Toolkit Content “Clear all tokens” – Clears memory of all tokens created 58 RADE Applications EN-ICE-MTA

59. Typical design Typical LabVIEW design: “open, use, close” 59 RADE Applications EN-ICE-MTA

60. 60 RADE Applications EN-ICE-MTA

61. 61 RADE Applications EN-ICE-MTA

62. Combined example: “RADAR” 62 RADE Applications EN-ICE-MTA

63. RADAR The RADAR toolkit makes use of the JAPC free query database tool and the CMW Wrapper, and creates a connection to the various front ends driving the CERN accelerators 63 RADE Applications EN-ICE-MTA

64. Part 1 database extraction The FESA Class browser connects to the CO public database and retrieves all the requested settings based upon class name or front end name Get settings based on Front end name or FESA class name 64 RADE Applications EN-ICE-MTA

65. Design 65 RADE Applications EN-ICE-MTA

66. Code 66 RADE Applications EN-ICE-MTA

67. Part 2 live data Uses the settings retrieved from the FESA class browser to establish the connection 67 RADE Applications EN-ICE-MTA

68. Main View 68 RADE Applications EN-ICE-MTA

69. Code 69 RADE Applications EN-ICE-MTA

70. 70

71. RADE Applications EN-ICE-MTA 71 http://cern.ch/rade

72. End of Part 1 Questions? 72 RADE Applications EN-ICE-MTA All examples from this presentation is available from: ~/RADE/LV-Intermediate-2/15.05.2009