I'm looking since several hours for a technic to write a salt state wich requires requirement1 or requirement2.
That's what I would like to do with cmd.run for example:
Run myscript:
cmd.run:
- name: /path/to/myscript
- require:
- pkgs: pkg1|pkg2
- cwd: /
Which means The script my_script will be executed if the state installing the package pkg1 or the state installing the pkg2 is satisfied.
Can this be really be done with salt? If so how?
I know I can make all my checks in my script directly, but I wanted to know if salt requisites could do that cleverly.
Thanks.
Salt states do not support branching if/else/while/ etc. The states file redered into a data which describes static dependency trees. Once rendered, the execution is performed in order.
The only way to do some sort of branching is to use unless/onlyif keywords. But they only work with specific state types and do not accept state ids (AFAIK, they only accept executable shell commands). See: http://docs.saltstack.com/en/latest/ref/states/requisites.html#unless
Related
I couldn't find it online after a little bit of searching, so i'm asking it here. Is there a 'reference' bnf grammar file for yaml file of concourse's pipeline ? As a side project, I'm trying to create an IntelliJ plugin that could do syntax highlight and auto completion for CI/CD Concourse pipelines, and would try to avoid manually retyping all that grammar to minimize error risk and time.
I don't believe there's a "grammar file" - the types are defined in code. For example, the top level pipeline is defined here as:
type Config struct {
Groups GroupConfigs `yaml:"groups" json:"groups" mapstructure:"groups"`
Resources ResourceConfigs `yaml:"resources" json:"resources" mapstructure:"resources"`
ResourceTypes ResourceTypes `yaml:"resource_types" json:"resource_types" mapstructure:"resource_types"`
Jobs JobConfigs `yaml:"jobs" json:"jobs" mapstructure:"jobs"`
}
The atc.Config.Validate() command is also based on code - not an external grammar.
You could probably reason through those source files to determine the structure. It might be possible to generate a jsonschema from the go types and then use that.
In UVM, there are pre-defined verbosity levels:
UVM_DEBUG
UVM_FULL
UVM_HIGH
UVM_MEDIUM
UVM_LOW
UVM_NONE
Actual reporting can be controlled using command line argument, e.g. +UVM_VERBOSITY=UVM_LOW
(1) Is there a way to have user-defined verbosity levels (or at least
aliases)?
Like e.g. "UVM_INFO" with same priority as UVM_NONE
(2) Is it possible to create completely user-defined verbosity level, with different priority ?
Say something between UVM_NONE and UVM_LOW
And, how to control such thing from CLI ??
Reason for this is that even with UVM_LOW some commercial VIP is still rather verbose. If possible, I would like to have a "level of my own" for some testbench elements...
I have an idea for uvm-1.2 version so I can tell in that context. Yes, you can set the custom verbosity. You can create an object of uvm_report_object and call the set_report_verbosity_level to set the verbosity of your choice.
For example a small testcase would look like -
module top;
import uvm_pkg::*;
uvm_report_object rep_obj;
initial begin;
rep_obj = new("");
rep_obj.set_report_verbosity_level(350);
rep_obj.uvm_report_info("", "", 350);
end
endmodule
"set_report_verbosity_level" will set the verbosity_level of uvm_report_handler class to 350 for that particular uvm_report_object. "set_report_info" is now being called with verbosity of 350 which otherwise takes UVM_MEDIUM as the default verbosity. In this example you don't have to add any additional command with the run commandline.
If you want to use the custom verbosity to use to prinout out new error messages, in that case you will have to create a class derived from uvm_report_object and create your own function definition for that custom message (For ex:- uvm_custom_report_info).
If you see the definitions of uvm_report_info/uvm_report_warning in your uvm_report_object class, it will give you the idea.
I hope this answers your question to some extent.
In package development, each example requires <5s. However, the pair of stan_model() and rstan::sampling() take long times more than 5s as follows:
Examples with CPU or elapsed time > 5s
user system elapsed
fit 1.25 0.11 32.47
So I put \donttest{} for each rstan::sampling() in roxygen comments #'#examples
In examples#'#examples, we should not run sampling() or is there any treatment ?
I had tried to create my package based on the code rstan_package_skeleton(path = 'BayesianAAA') when I was taught from you (Thank you !!) but, I do not understand many things about it.
Previously, rstan_package_skeleton(path = 'BayesianAAA') launched the errors in my computer ( but now the error does not occur).
So, I made my package without the rstan_package_skeleton(), say BayesianAAA, and in my original making, I put the Model_A.stan,Model_B.stan,Model_C.stan,.... in the inst/extdata and I refer my stan files as follows;
scr <- system.file("extdata", "Model_A.stan", package="BayesianAAA")
scr <- rstan::stan_model(scr)
I have many questions about the code rstan_package_skeleton(path = 'BayesianAAA').
1) The first question is How to include my existing stan files and how to refer my .stan files for the rstan::stan_model() ?
According to the page following page, it said that
If we had existing .stan files to include with the package we could use the optional stan_files argument to rstan_package_skeleton to include them.
So, I think I should execute, I am not sure but the following like manner is required;
`rstan_package_skeleton(path = 'BayesianAAA', stan_files = "Model_A.stan" )`.
But I do not know how to write the code for several stan files, say Model_A.stan,Model_B.stan,Model_C.stan in my existing package made without the rstan_package_skeleton(). I do not understand , but the following code is correct ? Since I do not where the files described in the variable stan_files is reflected in the new project created by the rstan_package_skeleton().
`rstan_package_skeleton(path = 'BayesianAAA', stan_files = c("Model_A.stan",`Model_B.stan`,`Model_C.stan` )`.
Here, the another question arise, that is,
2) The second question: Where I execute the code rstan_package_skeleton(path = 'BayesianAAA', stan_files = "Model_A.stan" ) ? I execute it form the R studio console in my existing package project. Is it correct ? And then, the new project arise and it is contained the old existing project. What should I do ?
https://cran.r-project.org/web/packages/rstantools/vignettes/minimal-rstan-package.html
3) I do not quite know about the packages "rstanarm" , but I try to imitate it for my package, but I can not fined any .stan file in it, I am wrong ?
I am sorry for my poor English, and Lack of study about these things.
I would be grateful if you could tell me.
You generally should not be writing a package that calls stan_model at runtime, unless like brms or tmbstan you are generating a Stan program at runtime as opposed to writing it statically. There are dozens of packages on CRAN that provide compiled Stan programs basically by following the build process developed for rstanarm, which is facilitated by the rstantools::rstan_package.skeleton function, the step-by-step guide, and the developer guidelines which directly address your question
CRAN policy permits long installation times but imposes restrictions on the time consumed by examples and unit tests that are much shorter than the time that it takes to compile even a simple Stan program. Thus, it is only possible to adequately test your package if it has pre-compiled Stan programs.
Even then, it can be difficult to sample from a posterior distribution (adequately) in five seconds, so you often have to use small datasets, one chain, a small number of iterations, etc.
It is best to pass the names of your Stan programs (which should end in a .stan extension, not use a period otherwise, and only have ASCII letters, numbers, and the underscore in their names) to rstantools::rstan_package_skeleton(). If doing so from RStudio, I would call it while not in an existing project. Then
During installation, all Stan programs will be compiled and saved in the list stanmodels that can then be used by R function in the package. The rule is that the Stan program compiled from the model code in src/stan_files/foo.stan is stored as list element stanmodels$foo.
There are dozens of R packages that have Stan programs in their src/stan_files directory (although the locations of the Stan programs are going to move to inst/stan for the next rstantools release) that for the most part just followed the vignettes and did not have to do any additional steps except write more R functions.
I need to set variables in root scope in one job to be used in a different job. The first job has a Javascript job entry, with the statements:
parent_job.setVariable("customers_full_path", "C:\\customers22.csv", "r");
true;
But the compilation fails with:
Couldn't compile javascript:
org.mozilla.javascript.EvaluatorException: Can't find method
org.pentaho.di.job.Job.setVariable(string,string,string). (#2)
How to set a variable at root level in a Javascript job entry?
Sorry for the passive agressive but:
I don't know if you are new to Pentaho but, the most common mistake for new users, with previous knowledge of programming, is to be sort of 'addicted' to know methods, as such you are using JavaScript for a functionality that is built in the tool. Both Transformations(KTR) and JOBs(KJB) have a similar step, you can better manipulate this in a KTR.
JavaScript steps slow down the flow considerably, so try to stay away from those as much as possible.
EDIT:
Reading This article, seems the only thing you're doing wrong is the actual syntax of the command..
Correct usage :
parent_job.setVariable("Desired Value", [name_of_variable]);
The command you described has 3 parameters, when it should be 2. If you have more than 1 variable you need to set, use 3 times the command. Try it out see if it works.
I am coding a custom module that is executed inside a pillar (to set a pillar variable) but I need it to retrieve an external parameter.
The idea is to retrieve a parameter from the master server. For example, if I execute
salt 'myminion' state.highstate
the custom module will be called and it should retrieve a parameter to generate the pillar.
I was looking into options like:
Using environment variables: It doesn't work as it seems that the execution modules does nothave access to the shell environment of the salt command.
Using command line paramenters: I dont know if it is even possible as I couldn't find any documentation.
Using an additional pillar in the command line: It doesn't work as the execution module is executed during pillar evaluation so it does not have access to __pillar__ or __salt__['pillar.get'] (both empty).
Reading from stdin: Does not workfrom a custom module.
Using a file to read info: I didn't even tryied this because it is not an option for me for security reasons. I dont want the information stored.
Any ideas if or how is this possible to do?
Thanks a lot!
By:
a custom module that is executed inside a pillar (to set a pillar variable)
do you mean an external pillar?
If so, passing it parameters is covered in that document:
You can pass a single argument, a list of arguments or a dictionary of arguments to your pillar:
ext_pillar:
- example_a: some argument
- example_b:
- argumentA
- argumentB
- example_c:
keyA: valueA
keyB: valueB
External pillars merge their data into the pillar dictionary, and are "custom modules", so I think that would fit your case.
If that's not what you're trying to do, can you update the question? Where is this parameter coming from? Is it different depending on the minion (minion_id is always passed to an external pillar)?
(edit) Adding a couple links about safely storing secrets:
using vault
dotgpg
blackbox