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Pipeline | design a simple pipeline for daily job , freer than sklearn | BPM library

 by   sunjianzhou Python Version: Current License: No License

 by   sunjianzhou Python Version: Current License: No License

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kandi X-RAY | Pipeline Summary

Pipeline is a Python library typically used in Automation, BPM, Docker applications. Pipeline has no bugs, it has no vulnerabilities and it has low support. However Pipeline build file is not available. You can download it from GitHub.
design a simple pipeline for daily job, more free than Pipeline in sklearn.
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Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • Pipeline has a low active ecosystem.
  • It has 8 star(s) with 4 fork(s). There are 1 watchers for this library.
  • It had no major release in the last 12 months.
  • Pipeline has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Pipeline is current.
Pipeline Support
Best in #BPM
Average in #BPM
Pipeline Support
Best in #BPM
Average in #BPM

quality kandi Quality

  • Pipeline has no bugs reported.
Pipeline Quality
Best in #BPM
Average in #BPM
Pipeline Quality
Best in #BPM
Average in #BPM

securitySecurity

  • Pipeline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Pipeline Security
Best in #BPM
Average in #BPM
Pipeline Security
Best in #BPM
Average in #BPM

license License

  • Pipeline does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
Pipeline License
Best in #BPM
Average in #BPM
Pipeline License
Best in #BPM
Average in #BPM

buildReuse

  • Pipeline releases are not available. You will need to build from source code and install.
  • Pipeline has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
Pipeline Reuse
Best in #BPM
Average in #BPM
Pipeline Reuse
Best in #BPM
Average in #BPM
Top functions reviewed by kandi - BETA

kandi has reviewed Pipeline and discovered the below as its top functions. This is intended to give you an instant insight into Pipeline implemented functionality, and help decide if they suit your requirements.

  • Set the value of the attribute
    • Set the output value

Get all kandi verified functions for this library.

Get all kandi verified functions for this library.

Pipeline Key Features

design a simple pipeline for daily job, freer than sklearn

python-Pipeline

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class StepA:
    def __init__(self, base_value):
        self.base_value = base_value

    def add_value(self, value):
        self.base_value += value
        return self.base_value

class StepB:
    def __init__(self, base_value):
        self.base_value = base_value

    def minus_value(self, value):
        self.base_value = self.base_value - value
        return self.base_value

    def multi_val(self, value):
        self.base_value = self.base_value * value
        return self.base_value

a_ins = StepA(1)
b_ins = StepB(100)
pipeline = Pipeline(
    [('name_a', a_ins, "add_value"), ("name_b", b_ins, "multi_val"), ('name_c', a_ins, "add_value")])
parameters = {
    'name_a__value': 1,  # 1+1 = 2
    'name_b__value': "name_a.output",  # 100 * 2 = 200
    'name_c__value': "name_b.output"  # 200 + 2 = 202
}
pipeline.set_params(parameters)
pipeline.run()
results = pipeline.get_results()
print(results)          # return: [2, 200, 202]

Is There a Way to Cause Powershell to Use a Particular Format for a Function's Output?

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# Assign virtual type name "MyVirtualType" to the objects output
# by Select-Object
Get-ChildItem *.txt | Select-Object Name, Length | ForEach-Object {
  $_.pstypenames.Insert(0, 'MyVirtualType'); $_
}
[pscustomobject] @{
  PSTypeName = 'MyVirtualType'
  foo = 1
  bar = 2
}
function Search-ADUser {
  param (
    $Name,
    [ValidateNotNullOrEmpty()][string[]]$Properties = @('Enabled', 'SamAccountName', 'Name', 'emailAddress', 'proxyAddresses')
  )

  # The self-chosen ETS type name.
  $etsTypeName = 'SearchAdUserResult'

  # Create the formatting data on demand.
  if (-not (Get-FormatData -ErrorAction Ignore $etsTypeName)) {

    # Create a temporary file with formatting definitions to pass to 
    # Update-FormatData below.
    $tempFile = Join-Path ([IO.Path]::GetTempPath()) "$etsTypeName.Format.ps1xml"

    # Define a table view with all 5 properties.
    @"
<Configuration>
<ViewDefinitions>
    <View>
      <Name>$etsTypeName</Name>
      <ViewSelectedBy>
        <TypeName>$etsTypeName</TypeName>
      </ViewSelectedBy>
      <TableControl>
        <TableRowEntries>
          <TableRowEntry>
            <TableColumnItems>
              <TableColumnItem>
                <PropertyName>Enabled</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>SamAccountName</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>Name</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>emailAddress</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>proxyAddresses</PropertyName>
              </TableColumnItem>
            </TableColumnItems>
          </TableRowEntry>
        </TableRowEntries>
      </TableControl>
    </View>
  </ViewDefinitions>
</Configuration>
"@ > $tempFile

    # Load the formatting data into the current session.
    Update-FormatData -AppendPath $tempFile

    # Clean up.
    Remove-Item $tempFile
  }

  # Call Get-ADUser and assign the self-chosen ETS type name to the the output.
  # Note: To test this with a custom-object literal, use the following instead of the Get-ADUser call:
  #      [pscustomobject] @{ Enabled = $true; SamAccountName = 'jdoe'; Name = 'Jane Doe'; emailAddress = 'jdoe@example.org'; proxyAddresses = 'janedoe@example.org' }
  Get-ADUser -Filter ('name -like "*{0}*"' -F $Name) -Properties $Properties | Select-Object $Properties | ForEach-Object {
     $_.pstypenames.Insert(0, $etsTypeName); $_
  }

}
Enabled SamAccountName Name     emailAddress     proxyAddresses
------- -------------- ----     ------------     --------------
True    jdoe           Jane Doe jdoe@example.org janedoe@example.org
# Assign virtual type name "MyVirtualType" to the objects output
# by Select-Object
Get-ChildItem *.txt | Select-Object Name, Length | ForEach-Object {
  $_.pstypenames.Insert(0, 'MyVirtualType'); $_
}
[pscustomobject] @{
  PSTypeName = 'MyVirtualType'
  foo = 1
  bar = 2
}
function Search-ADUser {
  param (
    $Name,
    [ValidateNotNullOrEmpty()][string[]]$Properties = @('Enabled', 'SamAccountName', 'Name', 'emailAddress', 'proxyAddresses')
  )

  # The self-chosen ETS type name.
  $etsTypeName = 'SearchAdUserResult'

  # Create the formatting data on demand.
  if (-not (Get-FormatData -ErrorAction Ignore $etsTypeName)) {

    # Create a temporary file with formatting definitions to pass to 
    # Update-FormatData below.
    $tempFile = Join-Path ([IO.Path]::GetTempPath()) "$etsTypeName.Format.ps1xml"

    # Define a table view with all 5 properties.
    @"
<Configuration>
<ViewDefinitions>
    <View>
      <Name>$etsTypeName</Name>
      <ViewSelectedBy>
        <TypeName>$etsTypeName</TypeName>
      </ViewSelectedBy>
      <TableControl>
        <TableRowEntries>
          <TableRowEntry>
            <TableColumnItems>
              <TableColumnItem>
                <PropertyName>Enabled</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>SamAccountName</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>Name</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>emailAddress</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>proxyAddresses</PropertyName>
              </TableColumnItem>
            </TableColumnItems>
          </TableRowEntry>
        </TableRowEntries>
      </TableControl>
    </View>
  </ViewDefinitions>
</Configuration>
"@ > $tempFile

    # Load the formatting data into the current session.
    Update-FormatData -AppendPath $tempFile

    # Clean up.
    Remove-Item $tempFile
  }

  # Call Get-ADUser and assign the self-chosen ETS type name to the the output.
  # Note: To test this with a custom-object literal, use the following instead of the Get-ADUser call:
  #      [pscustomobject] @{ Enabled = $true; SamAccountName = 'jdoe'; Name = 'Jane Doe'; emailAddress = 'jdoe@example.org'; proxyAddresses = 'janedoe@example.org' }
  Get-ADUser -Filter ('name -like "*{0}*"' -F $Name) -Properties $Properties | Select-Object $Properties | ForEach-Object {
     $_.pstypenames.Insert(0, $etsTypeName); $_
  }

}
Enabled SamAccountName Name     emailAddress     proxyAddresses
------- -------------- ----     ------------     --------------
True    jdoe           Jane Doe jdoe@example.org janedoe@example.org
# Assign virtual type name "MyVirtualType" to the objects output
# by Select-Object
Get-ChildItem *.txt | Select-Object Name, Length | ForEach-Object {
  $_.pstypenames.Insert(0, 'MyVirtualType'); $_
}
[pscustomobject] @{
  PSTypeName = 'MyVirtualType'
  foo = 1
  bar = 2
}
function Search-ADUser {
  param (
    $Name,
    [ValidateNotNullOrEmpty()][string[]]$Properties = @('Enabled', 'SamAccountName', 'Name', 'emailAddress', 'proxyAddresses')
  )

  # The self-chosen ETS type name.
  $etsTypeName = 'SearchAdUserResult'

  # Create the formatting data on demand.
  if (-not (Get-FormatData -ErrorAction Ignore $etsTypeName)) {

    # Create a temporary file with formatting definitions to pass to 
    # Update-FormatData below.
    $tempFile = Join-Path ([IO.Path]::GetTempPath()) "$etsTypeName.Format.ps1xml"

    # Define a table view with all 5 properties.
    @"
<Configuration>
<ViewDefinitions>
    <View>
      <Name>$etsTypeName</Name>
      <ViewSelectedBy>
        <TypeName>$etsTypeName</TypeName>
      </ViewSelectedBy>
      <TableControl>
        <TableRowEntries>
          <TableRowEntry>
            <TableColumnItems>
              <TableColumnItem>
                <PropertyName>Enabled</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>SamAccountName</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>Name</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>emailAddress</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>proxyAddresses</PropertyName>
              </TableColumnItem>
            </TableColumnItems>
          </TableRowEntry>
        </TableRowEntries>
      </TableControl>
    </View>
  </ViewDefinitions>
</Configuration>
"@ > $tempFile

    # Load the formatting data into the current session.
    Update-FormatData -AppendPath $tempFile

    # Clean up.
    Remove-Item $tempFile
  }

  # Call Get-ADUser and assign the self-chosen ETS type name to the the output.
  # Note: To test this with a custom-object literal, use the following instead of the Get-ADUser call:
  #      [pscustomobject] @{ Enabled = $true; SamAccountName = 'jdoe'; Name = 'Jane Doe'; emailAddress = 'jdoe@example.org'; proxyAddresses = 'janedoe@example.org' }
  Get-ADUser -Filter ('name -like "*{0}*"' -F $Name) -Properties $Properties | Select-Object $Properties | ForEach-Object {
     $_.pstypenames.Insert(0, $etsTypeName); $_
  }

}
Enabled SamAccountName Name     emailAddress     proxyAddresses
------- -------------- ----     ------------     --------------
True    jdoe           Jane Doe jdoe@example.org janedoe@example.org
# Assign virtual type name "MyVirtualType" to the objects output
# by Select-Object
Get-ChildItem *.txt | Select-Object Name, Length | ForEach-Object {
  $_.pstypenames.Insert(0, 'MyVirtualType'); $_
}
[pscustomobject] @{
  PSTypeName = 'MyVirtualType'
  foo = 1
  bar = 2
}
function Search-ADUser {
  param (
    $Name,
    [ValidateNotNullOrEmpty()][string[]]$Properties = @('Enabled', 'SamAccountName', 'Name', 'emailAddress', 'proxyAddresses')
  )

  # The self-chosen ETS type name.
  $etsTypeName = 'SearchAdUserResult'

  # Create the formatting data on demand.
  if (-not (Get-FormatData -ErrorAction Ignore $etsTypeName)) {

    # Create a temporary file with formatting definitions to pass to 
    # Update-FormatData below.
    $tempFile = Join-Path ([IO.Path]::GetTempPath()) "$etsTypeName.Format.ps1xml"

    # Define a table view with all 5 properties.
    @"
<Configuration>
<ViewDefinitions>
    <View>
      <Name>$etsTypeName</Name>
      <ViewSelectedBy>
        <TypeName>$etsTypeName</TypeName>
      </ViewSelectedBy>
      <TableControl>
        <TableRowEntries>
          <TableRowEntry>
            <TableColumnItems>
              <TableColumnItem>
                <PropertyName>Enabled</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>SamAccountName</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>Name</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>emailAddress</PropertyName>
              </TableColumnItem>
              <TableColumnItem>
                <PropertyName>proxyAddresses</PropertyName>
              </TableColumnItem>
            </TableColumnItems>
          </TableRowEntry>
        </TableRowEntries>
      </TableControl>
    </View>
  </ViewDefinitions>
</Configuration>
"@ > $tempFile

    # Load the formatting data into the current session.
    Update-FormatData -AppendPath $tempFile

    # Clean up.
    Remove-Item $tempFile
  }

  # Call Get-ADUser and assign the self-chosen ETS type name to the the output.
  # Note: To test this with a custom-object literal, use the following instead of the Get-ADUser call:
  #      [pscustomobject] @{ Enabled = $true; SamAccountName = 'jdoe'; Name = 'Jane Doe'; emailAddress = 'jdoe@example.org'; proxyAddresses = 'janedoe@example.org' }
  Get-ADUser -Filter ('name -like "*{0}*"' -F $Name) -Properties $Properties | Select-Object $Properties | ForEach-Object {
     $_.pstypenames.Insert(0, $etsTypeName); $_
  }

}
Enabled SamAccountName Name     emailAddress     proxyAddresses
------- -------------- ----     ------------     --------------
True    jdoe           Jane Doe jdoe@example.org janedoe@example.org

Installing Quickstart UI for IdentityServer4

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app.UseEndpoints(endpoints =>
{
    endpoints.MapControllerRoute(
        name: "default",
        pattern: "{controller=Home}/{action=Index}/{id?}");
});
public class HomeController : Controller
{
    [HttpGet]
    // Default return when user performs GET HTTP request
    public IActionResult Index()
    {
        return View();
    }
}
 
app.UseEndpoints(endpoints =>
{
    endpoints.MapControllerRoute(
        name: "default",
        pattern: "{controller=Home}/{action=Index}/{id?}");
});
public class HomeController : Controller
{
    [HttpGet]
    // Default return when user performs GET HTTP request
    public IActionResult Index()
    {
        return View();
    }
}
 

How can I plot two column combinations from a df or tibble as a scatterplot in R using purrr (pipes, maps, imaps)

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library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
tbl <- tibble::as_tibble(diabetes)
combn(setdiff(names(tbl),"class"),2, simplify = F) %>% #get combinations as vectors
  map(~ggplot(tbl, aes_string(.x[[1]], .x[[2]], color = "class")) + geom_point())
#> [[1]]
#> 
#> [[2]]
#> 
#> [[3]]
tbl2 <- tbl %>%
  pivot_longer(cols = -class, names_to = "attr", values_to = "value") %>%
  nest_by(attr) %>% {
    d <- tidyr::expand(., V1 = attr, V2 = attr) # expand combinations
    #rename the nested data to avoid naming conflicts
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_x")))), by = c("V1"="attr"))
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_y")))), by = c("V2"="attr"))
    d
  } %>%
  unnest(c(data.x, data.y))

ggplot(tbl2, aes(x = value_x, y = value_y, color = class_x)) +
  geom_point() +
  facet_grid(rows = vars(V1), cols = vars(V2))
library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
tbl <- tibble::as_tibble(diabetes)
combn(setdiff(names(tbl),"class"),2, simplify = F) %>% #get combinations as vectors
  map(~ggplot(tbl, aes_string(.x[[1]], .x[[2]], color = "class")) + geom_point())
#> [[1]]
#> 
#> [[2]]
#> 
#> [[3]]
tbl2 <- tbl %>%
  pivot_longer(cols = -class, names_to = "attr", values_to = "value") %>%
  nest_by(attr) %>% {
    d <- tidyr::expand(., V1 = attr, V2 = attr) # expand combinations
    #rename the nested data to avoid naming conflicts
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_x")))), by = c("V1"="attr"))
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_y")))), by = c("V2"="attr"))
    d
  } %>%
  unnest(c(data.x, data.y))

ggplot(tbl2, aes(x = value_x, y = value_y, color = class_x)) +
  geom_point() +
  facet_grid(rows = vars(V1), cols = vars(V2))
library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
tbl <- tibble::as_tibble(diabetes)
combn(setdiff(names(tbl),"class"),2, simplify = F) %>% #get combinations as vectors
  map(~ggplot(tbl, aes_string(.x[[1]], .x[[2]], color = "class")) + geom_point())
#> [[1]]
#> 
#> [[2]]
#> 
#> [[3]]
tbl2 <- tbl %>%
  pivot_longer(cols = -class, names_to = "attr", values_to = "value") %>%
  nest_by(attr) %>% {
    d <- tidyr::expand(., V1 = attr, V2 = attr) # expand combinations
    #rename the nested data to avoid naming conflicts
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_x")))), by = c("V1"="attr"))
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_y")))), by = c("V2"="attr"))
    d
  } %>%
  unnest(c(data.x, data.y))

ggplot(tbl2, aes(x = value_x, y = value_y, color = class_x)) +
  geom_point() +
  facet_grid(rows = vars(V1), cols = vars(V2))
library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
tbl <- tibble::as_tibble(diabetes)
combn(setdiff(names(tbl),"class"),2, simplify = F) %>% #get combinations as vectors
  map(~ggplot(tbl, aes_string(.x[[1]], .x[[2]], color = "class")) + geom_point())
#> [[1]]
#> 
#> [[2]]
#> 
#> [[3]]
tbl2 <- tbl %>%
  pivot_longer(cols = -class, names_to = "attr", values_to = "value") %>%
  nest_by(attr) %>% {
    d <- tidyr::expand(., V1 = attr, V2 = attr) # expand combinations
    #rename the nested data to avoid naming conflicts
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_x")))), by = c("V1"="attr"))
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_y")))), by = c("V2"="attr"))
    d
  } %>%
  unnest(c(data.x, data.y))

ggplot(tbl2, aes(x = value_x, y = value_y, color = class_x)) +
  geom_point() +
  facet_grid(rows = vars(V1), cols = vars(V2))
library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
tbl <- tibble::as_tibble(diabetes)
combn(setdiff(names(tbl),"class"),2, simplify = F) %>% #get combinations as vectors
  map(~ggplot(tbl, aes_string(.x[[1]], .x[[2]], color = "class")) + geom_point())
#> [[1]]
#> 
#> [[2]]
#> 
#> [[3]]
tbl2 <- tbl %>%
  pivot_longer(cols = -class, names_to = "attr", values_to = "value") %>%
  nest_by(attr) %>% {
    d <- tidyr::expand(., V1 = attr, V2 = attr) # expand combinations
    #rename the nested data to avoid naming conflicts
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_x")))), by = c("V1"="attr"))
    d <- left_join(d, mutate(., data = list(rename_with(data, .fn = ~paste0(.x,"_y")))), by = c("V2"="attr"))
    d
  } %>%
  unnest(c(data.x, data.y))

ggplot(tbl2, aes(x = value_x, y = value_y, color = class_x)) +
  geom_point() +
  facet_grid(rows = vars(V1), cols = vars(V2))
# load data
diabetes <- mclust::diabetes 

# define vector of colors based on class in order of cases in dataset
colors <- c("Red", "Green", "Blue")[diabetes$class]

# make pair-wise scatter plot of desired variables colored based on class
plot(diabetes[,-1], col = colors)

How to read an individual items of an array in bash for loop

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ctr=0
for ptr in "${values[@]}"
do
    az pipelines variable-group variable update --group-id 1543 --name "${ptr}" --value "${az_create_options[$ctr]}" #First element read and value updated
    az pipelines variable-group variable update --group-id 1543 --name "${ptr}" --value "${az_create_options[$ctr]}" #Second element read and value updated
    ctr=$((ctr+1))
done

for ((i = 0; i < ${#values[@]}; i++)); do
  value=${values[i]}
  option=${az_create_options[i]}

  echo "value => $value; option => $option"
done

Dynamically set bigquery table id in dataflow pipeline

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def dataset_type(element) -> bool:
    """ Check if dataset should be RD from registry id """
    dev_registry = element['device_registry_id']
    del element['device_registry_id']
    del element['bq_type']
    table_type = get_element_type(element, 'MessagesType')
    return 'my-project:%s_dataset.table%d' % (dev_registry, table_type)
def batch_pipeline(pipeline):
    console_message = (
            pipeline
            | 'Get console\'s message from pub/sub' >> beam.io.ReadFromPubSub(
        subscription='sub1',
        with_attributes=True)
    )
    common_message = (
            pipeline
            | 'Get common\'s message from pub/sub' >> beam.io.ReadFromPubSub(
        subscription='sub2',
        with_attributes=True)
    )
    jetson_message = (
            pipeline
            | 'Get jetson\'s message from pub/sub' >> beam.io.ReadFromPubSub(
        subscription='sub3',
        with_attributes=True)
    )

 

message = (console_message, common_message, jetson_message) | beam.Flatten()
clear_message = message | beam.ParDo(GetClearMessage())
console_bytes = clear_message | beam.ParDo(SetBytesData())
console_bytes | 'Write to big query back up table' >> beam.io.WriteToBigQuery(
    lambda e: write_to_backup(e)
)
records = clear_message | beam.ParDo(GetProtoData())
gps_records = clear_message | 'Get GPS Data' >> beam.ParDo(GetProtoData())
parsed_gps = gps_records | 'Parse GPS Data' >> beam.ParDo(ParseGps())
if parsed_gps:
    parsed_gps | 'Write to big query gps table' >> beam.io.WriteToBigQuery(
        lambda e: write_gps(e)
    )
records | 'Write to big query table' >> beam.io.WriteToBigQuery(
    lambda e: write_to_bq(e)
)
  obj = {
        'data': data_to_write_on_bq,
        'registry_id': data_needed_to_craft_table_name,
        'gcloud_id': data_to_write_on_bq,
        'proto_type': data_needed_to_craft_table_name
  }
def write_to_bq(e):
    logging.info(e)
    element = copy(e)
    registry = element['registry_id']
    logging.info(registry)
    dataset = set_dataset(registry) # set dataset name, knowing the registry, this is to set the environment (dev/prod/rd/...)
    proto_type = element['proto_type']
    logging.info('Proto Type %s', proto_type)
    table_name = reduce(lambda x, y: x + ('_' if y.isupper() else '') + y, proto_type).lower()
    full_table_name = f'my_project:{dataset}.{table_name}'
    logging.info(full_table_name)
    del e['registry_id']
    del e['proto_type']

    return full_table_name
def batch_pipeline(pipeline):
    console_message = (
            pipeline
            | 'Get console\'s message from pub/sub' >> beam.io.ReadFromPubSub(
        subscription='sub1',
        with_attributes=True)
    )
    common_message = (
            pipeline
            | 'Get common\'s message from pub/sub' >> beam.io.ReadFromPubSub(
        subscription='sub2',
        with_attributes=True)
    )
    jetson_message = (
            pipeline
            | 'Get jetson\'s message from pub/sub' >> beam.io.ReadFromPubSub(
        subscription='sub3',
        with_attributes=True)
    )

 

message = (console_message, common_message, jetson_message) | beam.Flatten()
clear_message = message | beam.ParDo(GetClearMessage())
console_bytes = clear_message | beam.ParDo(SetBytesData())
console_bytes | 'Write to big query back up table' >> beam.io.WriteToBigQuery(
    lambda e: write_to_backup(e)
)
records = clear_message | beam.ParDo(GetProtoData())
gps_records = clear_message | 'Get GPS Data' >> beam.ParDo(GetProtoData())
parsed_gps = gps_records | 'Parse GPS Data' >> beam.ParDo(ParseGps())
if parsed_gps:
    parsed_gps | 'Write to big query gps table' >> beam.io.WriteToBigQuery(
        lambda e: write_gps(e)
    )
records | 'Write to big query table' >> beam.io.WriteToBigQuery(
    lambda e: write_to_bq(e)
)
  obj = {
        'data': data_to_write_on_bq,
        'registry_id': data_needed_to_craft_table_name,
        'gcloud_id': data_to_write_on_bq,
        'proto_type': data_needed_to_craft_table_name
  }
def write_to_bq(e):
    logging.info(e)
    element = copy(e)
    registry = element['registry_id']
    logging.info(registry)
    dataset = set_dataset(registry) # set dataset name, knowing the registry, this is to set the environment (dev/prod/rd/...)
    proto_type = element['proto_type']
    logging.info('Proto Type %s', proto_type)
    table_name = reduce(lambda x, y: x + ('_' if y.isupper() else '') + y, proto_type).lower()
    full_table_name = f'my_project:{dataset}.{table_name}'
    logging.info(full_table_name)
    del e['registry_id']
    del e['proto_type']

    return full_table_name
def batch_pipeline(pipeline):
    console_message = (
            pipeline
            | 'Get console\'s message from pub/sub' >> beam.io.ReadFromPubSub(
        subscription='sub1',
        with_attributes=True)
    )
    common_message = (
            pipeline
            | 'Get common\'s message from pub/sub' >> beam.io.ReadFromPubSub(
        subscription='sub2',
        with_attributes=True)
    )
    jetson_message = (
            pipeline
            | 'Get jetson\'s message from pub/sub' >> beam.io.ReadFromPubSub(
        subscription='sub3',
        with_attributes=True)
    )

 

message = (console_message, common_message, jetson_message) | beam.Flatten()
clear_message = message | beam.ParDo(GetClearMessage())
console_bytes = clear_message | beam.ParDo(SetBytesData())
console_bytes | 'Write to big query back up table' >> beam.io.WriteToBigQuery(
    lambda e: write_to_backup(e)
)
records = clear_message | beam.ParDo(GetProtoData())
gps_records = clear_message | 'Get GPS Data' >> beam.ParDo(GetProtoData())
parsed_gps = gps_records | 'Parse GPS Data' >> beam.ParDo(ParseGps())
if parsed_gps:
    parsed_gps | 'Write to big query gps table' >> beam.io.WriteToBigQuery(
        lambda e: write_gps(e)
    )
records | 'Write to big query table' >> beam.io.WriteToBigQuery(
    lambda e: write_to_bq(e)
)
  obj = {
        'data': data_to_write_on_bq,
        'registry_id': data_needed_to_craft_table_name,
        'gcloud_id': data_to_write_on_bq,
        'proto_type': data_needed_to_craft_table_name
  }
def write_to_bq(e):
    logging.info(e)
    element = copy(e)
    registry = element['registry_id']
    logging.info(registry)
    dataset = set_dataset(registry) # set dataset name, knowing the registry, this is to set the environment (dev/prod/rd/...)
    proto_type = element['proto_type']
    logging.info('Proto Type %s', proto_type)
    table_name = reduce(lambda x, y: x + ('_' if y.isupper() else '') + y, proto_type).lower()
    full_table_name = f'my_project:{dataset}.{table_name}'
    logging.info(full_table_name)
    del e['registry_id']
    del e['proto_type']

    return full_table_name

Verify Artifactory download in Jenkins pipeline

copy iconCopydownload iconDownload
node {
def server = Artifactory.server SERVER_ID
def downloadSpec = readFile 'downloadSpec.json'
def buildInfo = server.download spec: downloadSpec

if (buildInfo.getDependencies().size() > 0) {
    def localPath = buildInfo.getDependencies()[0].getLocalPath()
    def remotePath = buildInfo.getDependencies()[0].getRemotePath()
    def md5 = buildInfo.getDependencies()[0].getMd5()
    def sha1 = buildInfo.getDependencies()[0].getSha1()
    echo localPath
}

server.publishBuildInfo buildInfo
}

Updating multiple values of a Azure DevOps variable group from another variable group

copy iconCopydownload iconDownload
az pipelines variable-group variable update --group-id
                                            --name
                                            [--detect {false, true}]
                                            [--new-name]
                                            [--org]
                                            [--project]
                                            [--prompt-value {false, true}]
                                            [--secret {false, true}]
                                            [--subscription]
                                            [--value]

Can I get counts for different field values in a MongoDB aggregation pipeline?

copy iconCopydownload iconDownload
db.collection.aggregate([
  {
    $group: {
      "_id": {
        "m": "$manufacturer",
        "c": "$sentTo"
      },
      "orders": {
        $sum: 1
      },
      "total": {
        $sum: "$devices"
      }
    }
  },
  {
    $group: {
      "_id": "$_id.m",
      "orders": {
        $sum: "$orders"
      },
      "devices": {
        $sum: "$total"
      },
      "countries": {
        $push: {
          "k": "$_id.c",
          "v": "$total"
        }
      }
    }
  },
  {
    "$project": {
      _id: 0,
      "manufacturer": "$_id",
      "orders": 1,
      "devices": 1,
      "countries": {
        "$arrayToObject": "$countries"
      }
    }
  }
])

how can I pass table or dataframe instead of text with entity recognition using spacy

copy iconCopydownload iconDownload
df = pd.DataFrame({'Text':["cat and artic fox, plant african daisy"]})
def get_entities(x):
    result = {}
    doc = nlp(x)
    for ent in doc.ents:
        result[ent.label_]=ent.text
    return result
df['Matches'] = df['Text'].apply(get_entities)
>>> df['Matches']
0    {'animal': 'artic fox', 'flower': 'african daisy'}
Name: Matches, dtype: object
df = pd.DataFrame({'Text':["cat and artic fox, plant african daisy"]})
def get_entities(x):
    result = {}
    doc = nlp(x)
    for ent in doc.ents:
        result[ent.label_]=ent.text
    return result
df['Matches'] = df['Text'].apply(get_entities)
>>> df['Matches']
0    {'animal': 'artic fox', 'flower': 'african daisy'}
Name: Matches, dtype: object
df = pd.DataFrame({'Text':["cat and artic fox, plant african daisy"]})
def get_entities(x):
    result = {}
    doc = nlp(x)
    for ent in doc.ents:
        result[ent.label_]=ent.text
    return result
df['Matches'] = df['Text'].apply(get_entities)
>>> df['Matches']
0    {'animal': 'artic fox', 'flower': 'african daisy'}
Name: Matches, dtype: object

Angular and ASP.NET Core MVC: &quot;Uncaught SyntaxError: Unexpected token '&lt;'&quot; for index file references when deployed

copy iconCopydownload iconDownload
     app.UseStaticFiles();
        if (!env.IsDevelopment())
        {
            app.UseSpaStaticFiles();
        }
        if (env.IsDevelopment())
        {
            app.UseDeveloperExceptionPage();
        }
        app.UseDefaultFiles()
           .UseStaticFiles()
           .UseDirectoryBrowser();

        app.UseForwardedHeaders(new ForwardedHeadersOptions
        {
            ForwardedHeaders = ForwardedHeaders.XForwardedFor | ForwardedHeaders.XForwardedProto
        });
services.AddSpaStaticFiles(configuration =>
{
 configuration.RootPath = "ClientApp/dist";
});

app.UseSpa(spa =>
{
    // To learn more about options for serving an Angular SPA from ASP.NET Core,
    // see https://go.microsoft.com/fwlink/?linkid=864501

    spa.Options.SourcePath = "ClientApp";

    if (env.IsDevelopment())
    {
        spa.UseAngularCliServer(npmScript: "start");
    }
});
        if (env.IsDevelopment())
        {
            app.UseDeveloperExceptionPage();
        }
        app.UseDefaultFiles()
           .UseStaticFiles()
           .UseDirectoryBrowser();

        app.UseForwardedHeaders(new ForwardedHeadersOptions
        {
            ForwardedHeaders = ForwardedHeaders.XForwardedFor | ForwardedHeaders.XForwardedProto
        });
services.AddSpaStaticFiles(configuration =>
{
 configuration.RootPath = "ClientApp/dist";
});

app.UseSpa(spa =>
{
    // To learn more about options for serving an Angular SPA from ASP.NET Core,
    // see https://go.microsoft.com/fwlink/?linkid=864501

    spa.Options.SourcePath = "ClientApp";

    if (env.IsDevelopment())
    {
        spa.UseAngularCliServer(npmScript: "start");
    }
});

Community Discussions

Trending Discussions on Pipeline
  • Is There a Way to Cause Powershell to Use a Particular Format for a Function's Output?
  • Installing Quickstart UI for IdentityServer4
  • How can I plot two column combinations from a df or tibble as a scatterplot in R using purrr (pipes, maps, imaps)
  • What happens to the CPU pipeline when the memory with the instructions is changed by another core?
  • How to read an individual items of an array in bash for loop
  • Dynamically set bigquery table id in dataflow pipeline
  • How to create a working VHDX in Azure CI Build Pipeline?
  • Apache Beam SIGKILL
  • Verify Artifactory download in Jenkins pipeline
  • Updating multiple values of a Azure DevOps variable group from another variable group
Trending Discussions on Pipeline

QUESTION

Is There a Way to Cause Powershell to Use a Particular Format for a Function's Output?

Asked 2021-Jun-15 at 18:42

I wish to suggest (perhaps enforce, but I am not firm on the semantics yet) a particular format for the output of a PowerShell function.

about_Format.ps1xml (versioned for PowerShell 7.1) says this: 'Beginning in PowerShell 6, the default views are defined in PowerShell source code. The Format.ps1xml files from PowerShell 5.1 and earlier versions don't exist in PowerShell 6 and later versions.'. The article then goes on to explain how Format.ps1xml files can be used to change the display of objects, etc etc. This is not very explicit: 'don't exist' -ne 'cannot exist'...

This begs several questions:

  1. Although they 'don't exist', can Format.ps1xml files be created/used in versions of PowerShell greater than 5.1?
  2. Whether they can or not, is there some better practice for suggesting to PowerShell how a certain function should format returned data? Note that inherent in 'suggest' is that the pipeline nature of PowerShell's output must be preserved: the user must still be able to pipe the output of the function to Format-List or ForEach-Object etc..

For example, the Get-ADUser cmdlet returns objects formatted by Format-List. If I write a function called Search-ADUser that calls Get-ADUser internally and returns some of those objects, the output will also be formatted as a list. Piping the output to Format-Table before returning it does not satisfy my requirements, because the output will then not be treated as separate objects in a pipeline.

Example code:

function Search-ADUser {
  param (
    $Name,
    [ValidateNotNullOrEmpty()][string[]]$Properties = @('Enabled', 'SamAccountName', 'Name', 'emailAddress', 'proxyAddresses')
  )
  return Get-ADUser -Filter ('name -like "*{0}*"' -F $Name) -Properties $Properties | Select-Object $Properties
}

The best answers should address both questions, although the second is more salient.

Unacceptable answers include suggestions that the function should not enforce a format, and/or that the user should pipe the output of the function to their formatter of choice. That is a very subjective stance, and whether it is held by the majority or not is irrelevant to the question.

I searched force function format #powershell-7.0 before posting, but none of the search results appeared to be relevant.

ANSWER

Answered 2021-Jun-15 at 18:36

Although they 'don't exist', can Format.ps1xml files be created/used in versions of PowerShell greater than 5.1?

  • Yes; in fact any third-party code must use them to define custom formatting.

    • That *.ps1xml files are invariably needed for such definitions is unfortunate; GitHub issue #7845 asks for an in-memory, API-based alternative (which for type data already exists, via the Update-TypeData cmdlet).
  • It is only the formatting data that ships with PowerShell that is now hardcoded into the PowerShell (Core) executable, presumably for performance reasons.

is there some better practice for suggesting to PowerShell how a certain function should format returned data?

The lack of an API-based way to define formatting data requires the following approach:

  • Determine the full name of the .NET type(s) to which the formatting should apply.

    • If it is [pscustomobject] instances that the formatting should apply to, you need to (a) choose a unique (virtual) type name and (b) assign it to the [pscustomobject] instances via PowerShell's ETS (Extended Type System); e.g.:

      • For [pscustomobject] instances created by the Select-Object cmdlet:

# Assign virtual type name "MyVirtualType" to the objects output
# by Select-Object
Get-ChildItem *.txt | Select-Object Name, Length | ForEach-Object {
  $_.pstypenames.Insert(0, 'MyVirtualType'); $_
}
  • For [pscustomobject] literals, specify the type name via a PSTypeName entry:

  • [pscustomobject] @{
      PSTypeName = 'MyVirtualType'
      foo = 1
      bar = 2
    }
    
  • Create a *.ps1mxl file for that type and load it into every session.

    • If the commands that rely on this formatting data are defined in a module, you can incorporate the file into your module so that it is automatically automatically when the module is imported.

    • For help on authoring such files, see:

  • GitHub proposal #10463 asks for a greatly simplified experience, along the lines of supporting extended [OutputType()] attributes that specify the desired formatting.


    Applied to your sample function:

    • The following function creates a (temporary) *.ps1xml file for its output type on demand, on the first call in the session, so as to ensure that (implicit) Format-Table formatting is applied, for all 5 properties (by default, 5 or more properties result in (implicit) Format-List formatting).

      • As you can see, creating the XML for the formatting definitions is verbose and cumbersome, even without additional settings, such as column width and alignment.

      • A better, but more elaborate solution would be to package your function in a module into whose folder you can place the *.ps1mxl file (e.g., SearchAdUserResult.Format.ps1xml) and then instruct PowerShell to load the file on module import, via the FormatsToProcess key in the module manifest (*.psd1) - e.g., FormatsToProcess = 'SearchAdUserResult.Format.ps1xml'

    • Note that you could alternatively create the *.ps1mxl file directly for the Microsoft.ActiveDirectory.Management.ADUser instances that Get-ADUser outputs, but doing so would apply the formatting session-wide, to any command that emits such objects.

    function Search-ADUser {
      param (
        $Name,
        [ValidateNotNullOrEmpty()][string[]]$Properties = @('Enabled', 'SamAccountName', 'Name', 'emailAddress', 'proxyAddresses')
      )
    
      # The self-chosen ETS type name.
      $etsTypeName = 'SearchAdUserResult'
    
      # Create the formatting data on demand.
      if (-not (Get-FormatData -ErrorAction Ignore $etsTypeName)) {
    
        # Create a temporary file with formatting definitions to pass to 
        # Update-FormatData below.
        $tempFile = Join-Path ([IO.Path]::GetTempPath()) "$etsTypeName.Format.ps1xml"
    
        # Define a table view with all 5 properties.
        @"
    <Configuration>
    <ViewDefinitions>
        <View>
          <Name>$etsTypeName</Name>
          <ViewSelectedBy>
            <TypeName>$etsTypeName</TypeName>
          </ViewSelectedBy>
          <TableControl>
            <TableRowEntries>
              <TableRowEntry>
                <TableColumnItems>
                  <TableColumnItem>
                    <PropertyName>Enabled</PropertyName>
                  </TableColumnItem>
                  <TableColumnItem>
                    <PropertyName>SamAccountName</PropertyName>
                  </TableColumnItem>
                  <TableColumnItem>
                    <PropertyName>Name</PropertyName>
                  </TableColumnItem>
                  <TableColumnItem>
                    <PropertyName>emailAddress</PropertyName>
                  </TableColumnItem>
                  <TableColumnItem>
                    <PropertyName>proxyAddresses</PropertyName>
                  </TableColumnItem>
                </TableColumnItems>
              </TableRowEntry>
            </TableRowEntries>
          </TableControl>
        </View>
      </ViewDefinitions>
    </Configuration>
    "@ > $tempFile
    
        # Load the formatting data into the current session.
        Update-FormatData -AppendPath $tempFile
    
        # Clean up.
        Remove-Item $tempFile
      }
    
      # Call Get-ADUser and assign the self-chosen ETS type name to the the output.
      # Note: To test this with a custom-object literal, use the following instead of the Get-ADUser call:
      #      [pscustomobject] @{ Enabled = $true; SamAccountName = 'jdoe'; Name = 'Jane Doe'; emailAddress = 'jdoe@example.org'; proxyAddresses = 'janedoe@example.org' }
      Get-ADUser -Filter ('name -like "*{0}*"' -F $Name) -Properties $Properties | Select-Object $Properties | ForEach-Object {
         $_.pstypenames.Insert(0, $etsTypeName); $_
      }
    
    }
    

    You'll then see the desired tabular output based on the format data; e.g.:

    Enabled SamAccountName Name     emailAddress     proxyAddresses
    ------- -------------- ----     ------------     --------------
    True    jdoe           Jane Doe jdoe@example.org janedoe@example.org
    

    Source https://stackoverflow.com/questions/67990004

    Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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    Install Pipeline

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    You can use Pipeline like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

    Support

    For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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