I have a JMeter script, where I have some user defined Variables like FILE_SAVE_PATH. This script should be started on a command line with parameter -J. So in the GUI, I changed the value for the variable FILE_SAVE_PATH to ${__P(FILE_SAVE_PATH, "C:\svn\trunk\dir")}, because the test should save there a file, but only on my machine. On the machine, where the script will be started from command line, it should save the file into another path.
My problem is now this: When I test this JMeter script on my machine in the GUI, I get an output of this:
About to replace in property of type: class org.apache.jmeter.testelement.property.StringProperty: ${__P(FILE_SAVE_PATH, "C:\svn\trunk\dir")}
2017/04/04 17:09:38 DEBUG - jmeter.testelement.property.AbstractProperty: Not running version, return raw function string
2017/04/04 17:09:38 DEBUG - jmeter.engine.util.ValueReplacer: Replacement result: ${__P(FILE_SAVE_PATH, "C:\svn\trunk\dir")}
But I think, the last line should be something like this:
2017/04/04 17:09:38 DEBUG - jmeter.engine.util.ValueReplacer: Replacement result: "C:\svn\trunk\dir"
So, how to change the test to get the result I want?
Escape every backslash with another one - C:\\svn\\trunk\\dir, or use unix slash, JVM's gonna handle it right: C:/svn/trunk/dir
And remove the doublequotes, they're not needed.
P.S. I presumed you're not using that notation in the Beanshell/JSR223 context. If you do - stop there and use the legit way to access properties.
TL;DR
How to find where exactly vim or nvim error started (which file?) when I'm interested in fixing the actual issue and not just removing the bad plugin? Anything better than strace and guesswork to find the error origin?
Issue
I often add a plugin to my vim or nvim config and end up getting errors on hooks (buffer open, close, write):
"test.py" [New] 0L, 0C written
Error detected while processing function 343[12]..272:
line 8:
E716: Key not present in Dictionary: _exec
E116: Invalid arguments for function get(a:args, 'exec', a:1['_exec'])
E15: Invalid expression: get(a:args, 'exec', a:1['_exec'])
The problem is, I have no idea where those come from, only get some line number of unknown file and I know it's not my vim/nvim config file.
Somewhere, you have a plugin that has defined a dictionary with anonymous-functions (check the help related to this tag).
For the curious ones, it's done this way:
let d = {}
function! d.whatever() abort
throw "blah"
endfunction
When you execute this function, you'll get the kind of error you're currently observing. That's why I stopped working this way to prefer:
let d = {}
function s:whatever() abort
throw "blah"
endfunction
let d.whatever = function('s:whatever') " a workaround is required for older versions of vim
" At least this way I'll get a `<SNR>42_whatever` in the exception throwpoint, and thus a scriptname.
That's the why. Now, back to your problem, AFAIK, the only things you'll be able to know are the two functions that have been called:
in line 12 of :function {343}, you've called
:function {272} which contains an error at line 8.
Thanks to these two commands (may be prefixed with :verbose, I don't remember exactly), you'll get the source code of the two functions, which you should be able to use in order to grep your plugins to know where it appears.
When my program finds itself outdated, it runs the updater 'data1.bat'.
In this case, i found that cmd was completely ignoring the double quotes in the command
This is the line of code (with variables(Original)):
start "" "%dirofbatch%data1.bat" "%downloc%" "%dirofbatch%" "%lver%" "%lget%"
This is the line of code (with those variables expanded):
start "" "C:\Users\Hello\Desktop\Minecraft Client\Versions\4.7\data1.bat" "\\SERVER\Users\Test User\Minecraft Hunger Games Client v4.8" "C:\Users\Hello\Desktop\Minecraft Client\Versions\4.7" "4.7" "4.8"
Instead of working, it seems to see:
start "" C:\Users\Hello\Desktop\Minecraft User\Minecraft Hunger Games
I found that out when every-time it ran, it started minecraft on my desktop, tried to login with the user name "User\Minecraft", the password "Hunger" and then tried to login to the server "Games"...
Is it possible to pass parameters with spaces to another batch program without this happening?
It's a bug of START or better of cmd, if in the path of the command is a space and at least in one parameter it fails.
A workaround to add a CALL
start "" CALL "C:\Users\Hello\Desktop\Minecraft Client\Versions\4.7\data1.bat" "\\SERVER\Users\Test User\Minecraft Hunger Games Client v4.8" "C:\Users\Hello\Desktop\Minecraft Client\Versions\4.7" "4.7" "4.8"
I have a Ruby file that has a line as such:
abort "ID is less than 1!" if env_id.to_i < 1
I am requiring this Ruby file elsewhere and can't pass a parameter when requiring this file. So I keep getting an error where when I try to require the file it aborts with "ID is less than 1!" The env_id is a variable that will be used for uniquely defining a bunch of AWS instances.
Any ideas as to what to do here?
I figured out how to solve my problem. I am just going to use FILE to see if the file is being run directly or required.
If I am running a long R script from the command line (R --slave script.R), then how can I get it to give line numbers at errors?
I don't want to add debug commands to the script if at all possible; I just want R to behave like most other scripting languages.
This won't give you the line number, but it will tell you where the failure happens in the call stack which is very helpful:
traceback()
[Edit:] When running a script from the command line you will have to skip one or two calls, see traceback() for interactive and non-interactive R sessions
I'm not aware of another way to do this without the usual debugging suspects:
debug()
browser()
options(error=recover) [followed by options(error = NULL) to revert it]
You might want to look at this related post.
[Edit:] Sorry...just saw that you're running this from the command line. In that case I would suggest working with the options(error) functionality. Here's a simple example:
options(error = quote({dump.frames(to.file=TRUE); q()}))
You can create as elaborate a script as you want on an error condition, so you should just decide what information you need for debugging.
Otherwise, if there are specific areas you're concerned about (e.g. connecting to a database), then wrap them in a tryCatch() function.
Doing options(error=traceback) provides a little more information about the content of the lines leading up to the error. It causes a traceback to appear if there is an error, and for some errors it has the line number, prefixed by #. But it's hit or miss, many errors won't get line numbers.
Support for this will be forthcoming in R 2.10 and later. Duncan Murdoch just posted to r-devel on Sep 10 2009 about findLineNum and setBreapoint:
I've just added a couple of functions to R-devel to help with
debugging. findLineNum() finds which line of which function
corresponds to a particular line of source code; setBreakpoint() takes
the output of findLineNum, and calls trace() to set a breakpoint
there.
These rely on having source reference debug information in the code.
This is the default for code read by source(), but not for packages.
To get the source references in package code, set the environment
variable R_KEEP_PKG_SOURCE=yes, or within R, set
options(keep.source.pkgs=TRUE), then install the package from source
code. Read ?findLineNum for details on how to tell it to search
within packages, rather than limiting the search to the global
environment.
For example,
x <- " f <- function(a, b) {
if (a > b) {
a
} else {
b
}
}"
eval(parse(text=x)) # Normally you'd use source() to read a file...
findLineNum("<text>#3") # <text> is a dummy filename used by
parse(text=)
This will print
f step 2,3,2 in <environment: R_GlobalEnv>
and you can use
setBreakpoint("<text>#3")
to set a breakpoint there.
There are still some limitations (and probably bugs) in the code; I'll
be fixing thos
You do it by setting
options(show.error.locations = TRUE)
I just wonder why this setting is not a default in R? It should be, as it is in every other language.
Specifying the global R option for handling non-catastrophic errors worked for me, along with a customized workflow for retaining info about the error and examining this info after the failure. I am currently running R version 3.4.1.
Below, I've included a description of the workflow that worked for me, as well as some code I used to set the global error handling option in R.
As I have it configured, the error handling also creates an RData file containing all objects in working memory at the time of the error. This dump can be read back into R using load() and then the various environments as they existed at the time of the error can be inspected interactively using debugger(errorDump).
I will note that I was able to get line numbers in the traceback() output from any custom functions within the stack, but only if I used the keep.source=TRUE option when calling source() for any custom functions used in my script. Without this option, setting the global error handling option as below sent the full output of the traceback() to an error log named error.log, but line numbers were not available.
Here's the general steps I took in my workflow and how I was able to access the memory dump and error log after a non-interactive R failure.
I put the following at the top of the main script I was calling from the command line. This sets the global error handling option for the R session. My main script was called myMainScript.R. The various lines in the code have comments after them describing what they do. Basically, with this option, when R encounters an error that triggers stop(), it will create an RData (*.rda) dump file of working memory across all active environments in the directory ~/myUsername/directoryForDump and will also write an error log named error.log with some useful information to the same directory. You can modify this snippet to add other handling on error (e.g., add a timestamp to the dump file and error log filenames, etc.).
options(error = quote({
setwd('~/myUsername/directoryForDump'); # Set working directory where you want the dump to go, since dump.frames() doesn't seem to accept absolute file paths.
dump.frames("errorDump", to.file=TRUE, include.GlobalEnv=TRUE); # First dump to file; this dump is not accessible by the R session.
sink(file="error.log"); # Specify sink file to redirect all output.
dump.frames(); # Dump again to be able to retrieve error message and write to error log; this dump is accessible by the R session since not dumped to file.
cat(attr(last.dump,"error.message")); # Print error message to file, along with simplified stack trace.
cat('\nTraceback:');
cat('\n');
traceback(2); # Print full traceback of function calls with all parameters. The 2 passed to traceback omits the outermost two function calls.
sink();
q()}))
Make sure that from the main script and any subsequent function calls, anytime a function is sourced, the option keep.source=TRUE is used. That is, to source a function, you would use source('~/path/to/myFunction.R', keep.source=TRUE). This is required for the traceback() output to contain line numbers. It looks like you may also be able to set this option globally using options( keep.source=TRUE ), but I have not tested this to see if it works. If you don't need line numbers, you can omit this option.
From the terminal (outside R), call the main script in batch mode using Rscript myMainScript.R. This starts a new non-interactive R session and runs the script myMainScript.R. The code snippet given in step 1 that has been placed at the top of myMainScript.R sets the error handling option for the non-interactive R session.
Encounter an error somewhere within the execution of myMainScript.R. This may be in the main script itself, or nested several functions deep. When the error is encountered, handling will be performed as specified in step 1, and the R session will terminate.
An RData dump file named errorDump.rda and and error log named error.log are created in the directory specified by '~/myUsername/directoryForDump' in the global error handling option setting.
At your leisure, inspect error.log to review information about the error, including the error message itself and the full stack trace leading to the error. Here's an example of the log that's generated on error; note the numbers after the # character are the line numbers of the error at various points in the call stack:
Error in callNonExistFunc() : could not find function "callNonExistFunc"
Calls: test_multi_commodity_flow_cmd -> getExtendedConfigDF -> extendConfigDF
Traceback:
3: extendConfigDF(info_df, data_dir = user_dir, dlevel = dlevel) at test_multi_commodity_flow.R#304
2: getExtendedConfigDF(config_file_path, out_dir, dlevel) at test_multi_commodity_flow.R#352
1: test_multi_commodity_flow_cmd(config_file_path = config_file_path,
spot_file_path = spot_file_path, forward_file_path = forward_file_path,
data_dir = "../", user_dir = "Output", sim_type = "spot",
sim_scheme = "shape", sim_gran = "hourly", sim_adjust = "raw",
nsim = 5, start_date = "2017-07-01", end_date = "2017-12-31",
compute_averages = opt$compute_averages, compute_shapes = opt$compute_shapes,
overwrite = opt$overwrite, nmonths = opt$nmonths, forward_regime = opt$fregime,
ltfv_ratio = opt$ltfv_ratio, method = opt$method, dlevel = 0)
At your leisure, you may load errorDump.rda into an interactive R session using load('~/path/to/errorDump.rda'). Once loaded, call debugger(errorDump) to browse all R objects in memory in any of the active environments. See the R help on debugger() for more info.
This workflow is enormously helpful when running R in some type of production environment where you have non-interactive R sessions being initiated at the command line and you want information retained about unexpected errors. The ability to dump memory to a file you can use to inspect working memory at the time of the error, along with having the line numbers of the error in the call stack, facilitate speedy post-mortem debugging of what caused the error.
First, options(show.error.locations = TRUE) and then traceback(). The error line number will be displayed after #