Quickly search your Git log using wildcards and shell function

Imagine you got a Git repository with a long history - equivalent to log - and you want find a changeset with a comment containing a word or some words and you want to get the commit SHA to quickly cherry pick that commit to your target branch. This is easier using Azure Devops or some tool, but how to quickly search the log. First we define a search log shell function inside our git config file .gitconfig :

searchlog = "!f() { git --no-pager log --color-words --all --decorate --graph -i --grep \"$1\";  }; f"

Now we can search the log quickly using a wildcard:

git searchlog "visning.*av.*nåtidslinje.*"

We separate our search words with the .* regex syntax and we can search our git log for multiple keywords quickly and get a nice presentation of commits with commit messages matching our log. And now we have a quick way to find our Git commits through the log and the command line to overcome our needly in the haystack scenario.

Importing datetime columns from Excel into SPSS

I have been working with SPSS and Excel import the latest days. The following Python script written in SPSS will import your Excel datetime columns properly.

* Encoding: UTF-8.
begin program.
import spss
print "Variable count: " + str(spss.GetVariableCount())
previousVar=""
for ind in range(spss.GetVariableCount()): #Loop through variable indices
    if (ind < 0): 
     previousVar = spss.GetVariableName(ind-1) #get variable name of previous column
    varNam = spss.GetVariableName(ind) #Look up each variable name
    
    recognizedDateColumns = ('date', 'lastupdate')
    if any(s in varNam.lower() for s in recognizedDateColumns): 
     print "Variable contains Dato: " + varNam
     adjustedVariable = varNam + "_Justert"
     spss.Submit("COMPUTE " + adjustedVariable + " = DATE.MDY(1,1,1900) +( (" + varNam  + " - 2) * 24 * 60 * 60).")
     spss.Submit("FORMATS " + adjustedVariable + "(DATETIME22).")
     spss.Submit("RENAME VARIABLES (" + varNam + "=" + adjustedVariable + ") (" + adjustedVariable + "= " + varNam + ").")
     spss.Submit("ADD FILES FILE = * /KEEP=PasientGUID to " + previousVar + " " + varNam + " ALL.")
     spss.Submit("EXECUTE.")
     spss.Submit("DELETE VARIABLES " + adjustedVariable + ".")
     spss.Submit("EXECUTE.")   
end program.

Note that in my example I use the convention that a date column in my dataset contains 'date' or 'lastupdate'.

Powershell - starting and stopping multiple app pools

The following powershell script defines some functions in Powershell that can start up or stop all iis app pools on a server. It can be handy when you want to test out concurrency issues and switch off all IIS app pools and start up again.

Function fnStartApplicationPool([string]$appPoolName){
Import-Module WebAdministration 
 if ((Get-WebAppPoolState $appPoolName).Value -ne 'Started') {
  Write-Host 'IIS app pool ' $appPoolName ' is not started. Starting.' 
  Start-WebAppPool -Name $appPoolName 
  Write-Host 'IIS app pool ' $appPoolName 'started' 
 }
}

Function fnStartAllApplicationPools() {
Import-Module WebAdministration  
 Write-Host "Starting all app pools" 
 $appPools = (Get-ChildItem IIS:\AppPools)

foreach ($appPool in $appPools) { 
  & fnStartApplicationPool -appPoolName $appPool.Name
}
}

#fnStartAllApplicationPools #start all applications pools


Function fnStopApplicationPool([string]$poolname) {
Import-Module WebAdministration 
 if ((Get-WebAppPoolState $appPoolName).Value -ne 'Stopped') {
  Stop-WebAppPool -Name $appPoolName 
 }
}

Function fnStopAllApplicationPools(){
Import-Module WebAdministration  
 Write-Host "Starting all app pools" 
 $appPools = (Get-ChildItem IIS:\AppPools)

foreach ($appPool in $appPools) { 
  & fnStopApplicationPool-appPoolName $appPool.Name
}  

}

#fnStopAllApplicationPools #start all applications pools