I am trying to use Python to build a 'wrapper' around an external .exe file. The file, when run, will reply back something like the following:
Ignoring profile '\\MachineName\C$\Users\UserName1' (reason: directory inclusion)
Ignoring profile '\\MachineName\C$\Users\UserName2' (reason: directory inclusion)
The following user profiles match the deletion criteria:
\\MachineName\C$\Users\UserName3
There could be any number of ignored profiles and any number of matching profiles or none.
What I would like to know is can I get Python to search the output for this exe and then do something else if there is a matching profile?
The code to run the exe is simply:
subprocess.Popen(c:\delprof2\DelProf2.exe /l, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
Thanks!
# Python 2.7
import subprocess
def extractProfiles(source):
result = []
for line in source:
line = line.strip()
if not line: continue
result.append(line)
profiles = []
proc = subprocess.Popen(....)
for line in proc.stdout:
if line.strip() != 'The following user profiles match the deletion criteria:':
continue
profiles = extractProfiles(proc.stdout)
break
# now do something with the profiles
Some caveats:
The above is somewhat brittle in that it's looking for an exact match of when to start remembering profiles ("The following user profiles...") in the output of the subprocess. If you're not sure it will be exactly that sentence character-for-character, it may be worth using the re module and a regular expression to find it.
The above assumes that the "matching" profiles are the only things that will appear in the subprocess's output after that triggering sentence is seen ("The following user profiles..."). You'd have to do something to detect the delimiter signalling the end of the list of profiles if that is not the case.
Related
I am trying to conditionally load some files from a directory. I would like to have a progress bar from tqdm on the process. I currently running this:
loaddir = r'D:\Folder'
# loop the files in the directory
print('Data load initiated')
for subdir, dirs, files in os.walk(loaddir_res):
for name in tqdm(files):
if name.startswith('Test'):
#do things
which gives
Data load initiated
0%| | 0/6723 [00:00<?, ?it/s]
0%| | 26/6723 [00:00<00:28, 238.51it/s]
1%| | 47/6723 [00:00<00:31, 213.62it/s]
1%| | 72/6723 [00:00<00:30, 220.84it/s]
1%|▏ | 91/6723 [00:00<00:31, 213.59it/s]
2%|▏ | 115/6723 [00:00<00:30, 213.73it/s]
This has two problems:
When progress is updated a new line appears in my IPython console in Spyder
I am actually timing the loop over the files and not over the files that start with 'Test' and therefore progress and remaining time are not accurate.
However, if I try this:
loaddir = r'D:\Folder'
# loop the files in the directory
print('Data load initiated')
for subdir, dirs, files in os.walk(loaddir_res):
for name in files:
if tqdm(name.startswith('Test')):
#do things
I get the following error.
Traceback (most recent call last):
File "<ipython-input-80-b801165d4cdb>", line 21, in <module>
if tqdm(name.startswith('Probe')):
TypeError: 'NoneType' object cannot be interpreted as an integer
I would like to have a progress bar in only one line that updates whenever the startswith loop is activated.
----UPDATE----
I also found out here that it can also be used like this:
files = [f for f in tqdm(files) if f.startswith('Test')]
Which allows to track progress with list comprehension by wrapping the iterable with tqdm. However in spyder this results in a separate line for each progress update.
----UPDATE2----
It actually works fine in spyder. Sometimes if the loop fails, it might go back to printing one line of progress update. But i haven't seen this very often after the latest updates.
firstly the answer:
loaddir = r'D:\surfdrive\COMSOL files\Batch folder\Current batch simulation files'
# loop the files in the directory
print('Data load initiated')
for subdir, dirs, files in os.walk(loaddir_res):
files = [f for f in files if f.startswith('Test')]
for name in tqdm(files):
#do things
This will work in any decent environment (including a bare terminal). The solution is to not give tqdm the unused filenames. You may find https://github.com/tqdm/tqdm/wiki/How-to-make-a-great-Progress-Bar insightful.
Secondly the issue with multiple lines output is well-known and due to some environments being broken (https://github.com/tqdm/tqdm#faq-and-known-issues) by not supporting carriage return (\r).
The correct links for this problem in Spyder are https://github.com/tqdm/tqdm/issues/512 and https://github.com/spyder-ide/spyder/issues/6172
(Spyder maintainer here) This is a known limitation of TQDM progress bars in Spyder. I'd recommend you to open an issue about it in its Github repository.
Specify position=0 and leave=True like this:
for i in tqdm(range(10), position=0, leave=True):
# Some code
Or in a list comprehension:
nums = [i for i in tqdm(range(10), position=0, leave=True)]
It's worth to mention that you can set `position=0` and `leave=True` to be the default settings, so you won't need to specify them each time, like this:
from tqdm import tqdm
from functools import partial
tqdm = partial(tqdm, position=0, leave=True) # this line does the magic
# for loop
for i in tqdm(range(10)):
# Some code
# list comprehension
nums = [for i in tqdm(range(10))]
I am doing a demo command line project in Ruby. The structure is like this:
/ROOT_DIR
init.rb
/SCRIPT_DIR
(other scripts and files)
I want users to only go into the application using init.rb, but as it stands, anyone can go into the sub-folder and call other ruby scripts directly.
Questions:
What ways can above scenario be prevented?
If I was to use directory permissions, would it get reset when running the code from a Windows machine to on Linux machine?
Is there anything that can be included in Ruby files itself to prevent it from being directly called from OS command line?
You can't do this with file permissions, since the user needs to read the files; removing the read permission means you can't include it either. Removing the execute permission is useful to signal that these file aren't intended to be executed, but won't prevent people from typing ruby incl.rb.
The easiest way is probably to set a global variable in the init.rb script:
#!/usr/bin/env ruby
FROM_INIT = true
require './incl.rb'
puts 'This is init!'
And then check if this variable is defined in the included incl.rb file:
unless defined? FROM_INIT
puts 'Must be called from init.rb'
exit 0
end
puts 'This is incl!'
A second method might be checking the value of $PROGRAM_NAME in incl.rb; this stores the current program name (like argv[0] in many other languages):
unless $PROGRAM_NAME.end_with? 'init.rb'
puts 'Must be called from init.rb'
exit 0
end
I don't recommend this though, as it's not very future-proof; what if you want to rename init.rb or make a second script?
I have been trying to run a shell script at boot time of freebsd. I have read all simmilar questions in stackoverflow and tried. But nothing is worked. This is the sample code that i tried is dummy.
#!/bin/sh
. /etc/rc.subr
name="dummy"
start_cmd="${name}_start"
stop_cmd=":"
dummy_start()
{
echo "Nothing started."
}
load_rc_config $name
run_rc_command "$1"
Saved with name of dummy.
Permissions are -r-xr-xr-x.
in rc.conf file made dummy_enable="YES".
The problem is, when i rebooted my system to test, dummy file is not there. So script is not executing. what else need to do run my dummy script.
SRC:http://www.freebsd.org/doc/en/articles/rc-scripting/article.html#rc-flags
You need to add rcvar="dummy_enable" to your script. At least for FreeBSD 9.1.
Call your script with parameter rcvar to get the enabled status:
# /etc/rc.d/dummy rcvar
# dummy
#
dummy_enable="YES"
# (default: "")
And finally start it with parameter start - this won't start the service/script unless dummy_enable is set in /etc/rc.conf (or /etc/rc.conf.local, or /etc/defaults/rc.conf)
# /etc/rc.d/dummy start
Nothing started.
One possible explanation is that rcorder(8) says:
Within each file, a block containing a series of "REQUIRE", "PROVIDE",
"BEFORE" and "KEYWORD" lines must appear.
Though elsewhere I recall that if a file doesn't have "REQUIRE", "PROVIDE" or "BEFORE", then it will be arbitrarily placed in the dependency ordering. And, it could be that the arbitrary placement differs between the first run up to $early_late_divider and in the second run of those after $early_late_divider.
OTOH, is this a stock FreeBSD, or some variant? I recall reading that FreeNAS saves its configuration somewhere else and recreates its system files on every boot. And, quite possibly that /etc is actually on a ramdisk.
Also, /usr/local/etc/rc.d doesn't come into existence until the first port installing an rc file is installed.
I want to write a ruby script that read from a config file that will have filenames, and then when I run the script it will take the tail of each file and output the console.
What's the best way to go about doing this?
Take a look at File::Tail gem.
You can invoke linux tail -number_of_lines file_name command from your ruby script and let it print on console or capture output and print it yourself (if you need to do something with these lines before you print it)
We have a configuration file that contain a list of the log files; for example, like this:
---
- C:\fe\logs\front_end.log
- C:\mt\logs\middle_tier.log
- C:\be\logs\back_end.log
The format of the configuration file is a yaml simple sequence , therefore suppose we named this file 'settings.yaml'
The ruby script that take the tail of each file and output the console could be like this:
require 'yaml'
require 'file-tail'
logs = YAML::load(File.open('settings.yaml'))
threads = []
logs.each do |the_log|
threads << Thread.new(the_log) { |log_filename|
File.open(log_filename) do |log|
log.extend(File::Tail)
log.interval = 10
log.backward(10)
log.tail { |line| p "#{File.basename(the_log,".log")} - #{line}" }
end
}
end
threads.each { |the_thread| the_thread.join }
Note: displaying each line I wanted to prefix it with the name of the file from which it originates, ...this for me is a good option but you can edit the script to change as you like ; is the same for the tails parameters.
if file-tail is missing in your environment, follow the link as #Mark Thomas posts in his answear; i.e you need to:
> gem install file-tail
I found the file-tail gem to be a bit buggy. I would write to a file and it would read the entire file again instead of just thelines appended. This happened even though I had log.backward set to 0. I ended up writing my own and figured that I would share it here in case any one else is looking for a Ruby alternative to the file-tail gem. You can find the repo here. It uses non_blocking io, so it will catch amendments to the file immediately. There is one caveat that can be easily fixed if you can program in the Ruby programming language; log.backward is hard coded to be -1.
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 #