1. ADE Rapid Application Development Environment based on LabVIEW
For the LabVIEW expert training, I have hidden slide 4-6, 8-9, 14-15, 30.
based on LabVIEW
RADE Applications EN-SMM-MTA

2. RADE Applications EN-SMM-MTA
Outline
MTA
Why RADE?
The challenge
Coping with large applications
RADE today
Hands On session
RADE Applications EN-SMM-MTA

3. EN-SMM-MTA Measurement, Test and Analysis
RADE Applications EN-SMM-MTA

4. RADE Applications EN-SMM-MTA
Why was RADE developed?
RADE Applications EN-SMM-MTA

5. RADE Applications EN-SMM-MTA
The Origin
BE software model
Rapid development
OPERATOR
CONSOLE
GUI app
(Java)
GUI app
(LabVIEW)
Server app (Java)
APPLICATION
SERVER
JAPC (Java)
SM18 -> years of work done in a few months.
Post Mortem -> Same story.
Testing phase:
When testing locally, it was fine. (Local control -> fine)
Problems arose in the commissioning phase:
Now there was an infrastructure between the apps and the devices.
CMW (C++)
FRONT END
FESA (C++)
RADE Applications EN-SMM-MTA

6. RADE Applications EN-SMM-MTA
The Challenge
Linux
Windows
Mac
GPN TN DB
CMW
RBAC
Timing
Files
PLC
DAQ
OBSTACLES
Different protocols, libraries, file types, hardware layers. -> To teach LabVIEW to understand them all?
Different platforms (Windows, Linux, Mac)
Different networks (GPN, TN)
To make your LabVIEW application communicate with the accelerator, you have to go through all these obstacles.
(It would be a maze without RADE :) )
RADE Applications EN-SMM-MTA

7. Rapid Development Requirements
Fast programming
Rapid learning curve
Drag and drop GUI development
Wide range of analysis libraries
Light/independent environment
LabVIEW
Integration with CERN infrastructures
Applications that are developed rapidly, that can be easily maintained even though the implementation time is short.
Two aspects:
RADE based on LabVIEW (LabVIEW covers many of the requirements, but we need some more.)
Light: no database declarations, no external libraries (everything encapsulated in LabVIEW)
LabVIEW: all in one (no editor/compiler separately)
RADE Applications EN-SMM-MTA

8. RADE Applications EN-SMM-MTA
RADE Framework
Training
Support
Templates
Configuration files
Documentation
LabVIEW DB
Files
JAPC
libs
PLC
CMW
Java
Based on LabVIEW (covers many of the requirements already)
1) Communication with different front-ends and protocols
2) To properly use the communication libraries, we have created templates, config files, help documentation
3) RADE offers you a space in nfs where to store your config files (centralized location in nfs)
RADE Applications EN-SMM-MTA

9. RADE Core Technology LabVIEW user application LabVIEW C/C++ shared lib
Server
Server
Server
3 different mechanisms:
1) Natively in LabVIEW
2) Shared libraries
3) Connection to a server
LabVIEW <-(HTTP)-> Tomcat server <-> Java services
Next slide: what this architecture means to the user (it’s simple, just the beautiful LabVIEW palette)
Java
Java
Java
SDDS
PLC
MTA-lib
RBAC
RIO
SQL
TGM
ALARM
eLogBook
RADE Applications EN-SMM-MTA

10. RADE Applications EN-SMM-MTA
RADE Palette
How the programmer sees RADE.
RADE Applications EN-SMM-MTA

11. RADE Applications EN-SMM-MTA
The Challenge
The challenge = communication
(hardware, protocols, …)
RADE Applications EN-SMM-MTA

12. RADE Applications EN-SMM-MTA

13. RADE Applications EN-SMM-MTA
Outline
MTA
Why RADE?
The challenge
Coping with large applications
RADE today
Hands On session
RADE Applications EN-SMM-MTA

14. Coping With Large Applications
“RADE phase one” resulted in complicated applications that had to be maintained.
-> Next step was to take care of the applications.
- Large applications, maintenance, multiple developer communication etc.
Short-life applications (“We’re gonna use it just for a month”) becoming part of the infrastructure (totem, post mortem)
Some times they changed to long-term application. They have to be maintainable.
-> we needed development rules and ways to work
- Programmer can change, protocols might change, etc.
Many different ways to do the same thing
RADE Applications EN-SMM-MTA

15. Large Application Requirements
Fast programming
Rapid learning curve
Drag and drop GUI development
Wide range of analysis libraries
Light/independent environment
LabVIEW
Integration with CERN infrastructures
Source control and distribution
Application templates
Applications that are developed rapidly, that can be easily maintained even though the implementation time is short.
Two aspects:
Animate new req. After existing
RADE Applications EN-SMM-MTA

16. RADE Applications EN-SMM-MTA
Source Control
The main source control system at CERN is Subversion
RADE Applications EN-SMM-MTA

17. RADE Applications EN-SMM-MTA
Distribution
Some explanatory text
RADE Installer
RADE Applications EN-SMM-MTA

18. State Machine Template
Several design patterns and concepts in the form of templates, adapted to RADE and CERN specific requirements
RADE Applications EN-SMM-MTA

19. RADE Applications EN-SMM-MTA
Development help
RADE guides, design patterns and templates
Code review: make LabVIEW code beautiful
Use templates -> create clean code
RADE Applications EN-SMM-MTA

20. RADE Applications EN-SMM-MTA
Outline
MTA
Why RADE?
The challenge
Coping with large applications
RADE today
Hands On session
RADE Applications EN-SMM-MTA

21. RADE Applications EN-SMM-MTA
RADE today
RADE Applications EN-SMM-MTA

22. NO! The RADE framework RADE: a safe harbour for your development!
Tomber en RADE?
NO!
Rapid Application Development Environment
RADE Applications EN-SMM-MTA

23. RADE Applications EN-SMM-MTA
LabVIEW & RADE Support
cern.ch/labview
cern.ch/rade
Thank you for your attention !
RADE Applications EN-SMM-MTA

24. RADE Applications EN-SMM-MTA
Outline
MTA
Why RADE?
The challenge
Coping with large applications
RADE today
Hands On session
RIO: Live data from the front-ends
RBAC: Role based access control
SQL: CERN Database connections
MTAlib and OpenG toolkits
RADE Applications EN-SMM-MTA

25. RADE Input/Output (RIO)
Live data from the front-ends
RADE Applications EN-SMM-MTA

26. What is RIO? Client applications RADE Input/Output (RIO) InCA
JAPC
InCA
CERN front-ends
RADE Applications EN-SMM-MTA

27. RADE Applications EN-SMM-MTA
JAPC or CMW?
Which protocol to use:
in GPN use JAPC
not in GPN, use CMW
DIP (Data Interchange Protocol) to transmit data from accelerator to experiments.
JAPC and InCA could be replaced by DIP.
Only publisher/subscriber. To get and set data CMW was implemented.
Then we could think of JAPC as an extension for Java development.
InCA
JAPC
RADE Applications EN-SMM-MTA

28. RADE Applications EN-SMM-MTA
RIO: Basics 1. 2. 3.
RADE Applications EN-SMM-MTA

29. Get data from front-end
RADE Applications EN-SMM-MTA

30. RADE Applications EN-SMM-MTA
Set data to front-end
RADE Applications EN-SMM-MTA

31. Subscription to front-end data
Put operation.vi in a loop
Check for timeout and error
RADE Applications EN-SMM-MTA

32. RIO data types Field name in LV = field name of device
Field type in LV = field type of device
Japc2Lv_T2-abcopm02/Mixed:
Field name
Field data type D
Double
Bool
Boolean
C2D300
String [ ]
I642D300
I64 [ ] [ ]
C1D300
String
RADE Applications EN-SMM-MTA

33. Exercise Get, Set and Subscribe data on a CERN device
Goal: Implement GET/SET/Subscribe operations for CERN device using RIO Toolkit.
RADE Applications EN-SMM-MTA

34. RADE Applications EN-SMM-MTA
Quiz 1
The device “PR.GSQDN1/CCV” has the following fields:
lambdaX: I32
data: Double
msg: String
Which of the following Data Type is not correct? 1. 2. 3. 4.
RADE Applications EN-SMM-MTA

35. RADE Applications EN-SMM-MTA
Quiz 2
The device “PR.BPM/Setting” has the following fields:
bucketBBB: I32[ ]
bucketSelect: I16
gain: I32
Which of the following Data Type is not correct? 1. 2. 3. 4.
This is a trick. All are correct.
RADE Applications EN-SMM-MTA

36. RADE Applications EN-SMM-MTA
Quiz 3
What is wrong with this VI?
RADE Applications EN-SMM-MTA

37. RADE Applications EN-SMM-MTA
Quiz 3
This VI is correct.
RADE Applications EN-SMM-MTA

38. RADE Applications EN-SMM-MTA
Outline
MTA
Why RADE?
The challenge
Coping with large applications
RADE today
Hands On session
RIO: Live data from the front-ends
RBAC: Role based access control
SQL: CERN Database connections
MTAlib and OpenG toolkits
RADE Applications EN-SMM-MTA

39. RBAC
Role Based Access Control
RADE Applications EN-SMM-MTA

40. RADE Applications EN-SMM-MTA
RBAC
Usage
The token is stored by a numeric reference
Valid until expired or destroyed
Don’t store your password on the block diagram: Enter your password in a GUI at startup of your application
RADE Applications EN-SMM-MTA

41. RADE Applications EN-SMM-MTA
Outline
MTA
Why RADE?
The challenge
Coping with large applications
RADE today
Hands On session
RIO: Live data from the front-ends
RBAC: Role based access control
SQL: CERN Database connections
MTAlib and OpenG toolkits
RADE Applications EN-SMM-MTA

42. SQL
CERN Database Connections
RADE Applications EN-SMM-MTA

43. RADE Applications EN-SMM-MTA
Query to Database
RADE Applications EN-SMM-MTA

44. LHC Logging and Measurement databases
RADE Applications EN-SMM-MTA

45. LHC Logging and Measurement databases
Extracts statistics for a signal data:
RADE Applications EN-SMM-MTA

46. RADE Applications EN-SMM-MTA
Search signal names
RADE Applications EN-SMM-MTA

47. Exercise Extract data from LHC Logging DB
Goal: Extract signal data from LHC Logging DB using the SQL_MA.vi
RADE Applications EN-SMM-MTA

48. RADE Applications EN-SMM-MTA
Quiz 4
Which VI is used to execute SQL queries for CERN databases?
SQL.vi
Where can we find it in the RADE palette?
RADE -> SQL
RADE Applications EN-SMM-MTA

49. RADE Applications EN-SMM-MTA
Quiz 5
How to extract signal data from LHC logging Database?
SQL-MA.vi -> lhclog
RADE Applications EN-SMM-MTA

50. RADE Applications EN-SMM-MTA
Outline
MTA
Why RADE?
The challenge
Coping with large applications
RADE today
Hands On session
RIO: Live data from the front-ends
RBAC: Role based access control
SQL: CERN Database connections
MTAlib and OpenG toolkits
RADE Applications EN-SMM-MTA

51. RADE Applications EN-SMM-MTA
MTA-lib
OpenG:
Community reviewed to a certain extent.
One has to know that the VIs exist to use them.
No performance guarantees.
RADE Applications EN-SMM-MTA

52. RADE Applications EN-SMM-MTA
OpenG community
Non-NI LabVIEW community
Several green “time-saving” VIs
Many polymorphic VIs → build executable to improve performance
Non-NI LabVIEW Communities:
– Forum and wiki
– Forum and file repository
- One of the few non-NI LabVIEW communities.
You’d like to have something more in the MTA palette?
-> Let us know
RADE Applications EN-SMM-MTA

53. RADE Applications EN-SMM-MTA
MTA-lib: Data Palette
Variant: A container that can contain different data types. Great for generic programming, but can add overhead.
RADE Applications EN-SMM-MTA

54. RADE Applications EN-SMM-MTA
OpenG Use case: Variants containing generic data.
RADE Applications EN-SMM-MTA

55. MTA-lib: Array Palette
RADE Applications EN-SMM-MTA

56. RADE Applications EN-SMM-MTA
OpenG Use case: Array manipulation
Remove Duplicates From 1D Array
Filter 1D Array
RADE Applications EN-SMM-MTA

57. RADE Applications EN-SMM-MTA
OpenG Use case: Array manipulation
Search 1D array
Sort array
RADE Applications EN-SMM-MTA

58. MTA-lib: String Palette
RADE Applications EN-SMM-MTA

59. RADE Applications EN-SMM-MTA
MTA-lib: Time Palette
RADE Applications EN-SMM-MTA

60. RADE Applications EN-SMM-MTA
OpenG Use case: Wait/delay
LabVIEW
OpenG
Additional functionalities:
Wait on Error?
Abort (optional)
Also “Wait Until Next ms Multiple”
RADE Applications EN-SMM-MTA

61. MTA-lib: Application Control
Fit front panel to largest decoration
The right size front panel without effort !
RADE Applications EN-SMM-MTA

63. RADE Applications EN-SMM-MTA
Questions
RADE Applications EN-SMM-MTA