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@dkattan dkattan commented Oct 19, 2023

PR Summary

One of the difficulties in declaring dynamic parameters is the requirement of the RuntimeDefinedParameterDictionary that requires the duplication of the parameter name both in the RuntimeDefinedParameter and the key of the RuntimeDefinedParameterDictionary.

This PR allows you to declare dynamic parameters by emitting them to the output stream.

This is the approved part of #20069 (comment)

Before

Function Test-DynamicParameter {
    [CmdletBinding()]
    Param(
        [Parameter(Mandatory = $true, ValueFromRemainingArguments = $true)]
        $Remaining
    )
    dynamicparam {
       $RuntimeParameterDictionary = [Management.Automation.RuntimeDefinedParameterDictionary]::new()        
       $RuntimeParameterDictionary.Add("Foo", ([Management.Automation.RuntimeDefinedParameter]::new(
                    "Foo",
                    [string],
                    @([Parameter]::new())
                )))
        $RuntimeParameterDictionary.Add("Bar", ([Management.Automation.RuntimeDefinedParameter]::new(
                    "Bar",
                    [string],
                    @([Parameter]::new())
                )))        
        return $runtimeParameterDictionary
    }
    process {
        $PSBoundParameters | Format-Table
    }
}

After

Function Test-DynamicParameter {
    [CmdletBinding()]
    Param(
        [Parameter(Mandatory = $true, ValueFromRemainingArguments = $true)]
        $Remaining
    )
    dynamicparam {
        [Management.Automation.RuntimeDefinedParameter]::new(
            "Foo",
            [string],
            @([Parameter]::new())
        )
        [Management.Automation.RuntimeDefinedParameter]::new(
            "Bar",
            [string],
            @([Parameter]::new())
        )
    }
    process {
        $PSBoundParameters | Format-Table
    }
}

Access CommentElements from dynamicparam block

Function Test-DynamicParameter {
    [CmdletBinding()]
    Param(
        [Parameter(Mandatory = $true, ValueFromRemainingArguments = $true)]
        $Remaining
    )
    dynamicparam {
        # $Input will contain the command elements of the current invocation.
        # $_ will be the current command.

        # $Input will contain the command elements of the current invocation.
        # $_ will be the current command.
        $pathToBe = @($input)[1]

        # This is a simple and easily testable example, and not anywhere near complete parsing
        # (this check will only work if $Path is assigned positionally)
        if ($pathToBe -is [Management.Automation.Language.StringConstantExpressionAst]) {
            $pathToBe = $pathToBe.Value
        }

        # If the path is not explicitly "badPath"
        if ($pathToBe -ne "BadPath") {
            # create a dynamic parameter
            [Management.Automation.RuntimeDefinedParameter]::new(
                "foo",
                [int],
                @([Parameter]::new())
            )
        }
    }
    process {
        $PSBoundParameters | Format-Table
    }
}

PR Checklist

@dkattan dkattan changed the title Declare dynamic parameters without runtimedefinedparameterdictionary Declare Dynamic Parameters without RuntimeDefinedParameterDictionary Oct 19, 2023
@microsoft-github-policy-service microsoft-github-policy-service bot added the Review - Needed The PR is being reviewed label Oct 27, 2023
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This pull request has been automatically marked as Review Needed because it has been there has not been any activity for 7 days.
Maintainer, please provide feedback and/or mark it as Waiting on Author

@pull-request-quantifier-deprecated

This PR has 378 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Large
Size       : +244 -134
Percentile : 77.8%

Total files changed: 5

Change summary by file extension:
.cs : +119 -89
.ps1 : +125 -45

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
    • Optimal size changes are more likely to be reviewed faster with fewer
      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
    • Code inconsistencies are more likely to be detected.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

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    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
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  • Change your engineering behaviors
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      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


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@dkattan dkattan force-pushed the declare-dynamic-parameters-without-runtimedefinedparameterdictionary branch from b38a202 to bc0a412 Compare February 19, 2024 15:35
@pull-request-quantifier-deprecated

This PR has 9148 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Extra Large
Size       : +2309 -6839
Percentile : 100%

Total files changed: 167

Change summary by file extension:
.yml : +12 -13
.props : +3 -3
.md : +424 -78
.json : +95 -34
.txt : +311 -307
.wxs : +18 -0
.psm1 : +70 -14
.config : +1 -1
.csproj : +41 -40
.cs : +495 -5692
.resx : +15 -375
.ps1 : +784 -236
.psd1 : +40 -46

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
    • Optimal size changes are more likely to be reviewed faster with fewer
      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
    • Code inconsistencies are more likely to be detected.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

  • Use the PullRequestQuantifier to quantify your PR accurately
    • Create a context profile for your repo using the context generator
    • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
    • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
  • Change your engineering behaviors
    • For PRs that fall outside of the desired spectrum, review the details and check if:
      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


Was this comment helpful? 👍  :ok_hand:  :thumbsdown: (Email)
Customize PullRequestQuantifier for this repository.

@dkattan dkattan force-pushed the declare-dynamic-parameters-without-runtimedefinedparameterdictionary branch from bc0a412 to 70ee287 Compare February 19, 2024 15:40
@pull-request-quantifier-deprecated

This PR has 378 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Large
Size       : +244 -134
Percentile : 77.8%

Total files changed: 5

Change summary by file extension:
.cs : +119 -89
.ps1 : +125 -45

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
    • Optimal size changes are more likely to be reviewed faster with fewer
      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
    • Code inconsistencies are more likely to be detected.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

  • Use the PullRequestQuantifier to quantify your PR accurately
    • Create a context profile for your repo using the context generator
    • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
    • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
  • Change your engineering behaviors
    • For PRs that fall outside of the desired spectrum, review the details and check if:
      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


Was this comment helpful? 👍  :ok_hand:  :thumbsdown: (Email)
Customize PullRequestQuantifier for this repository.

@StevenBucher98 StevenBucher98 added the WG-Engine core PowerShell engine, interpreter, and runtime label Jul 18, 2024
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