Flow Document Generator

You can use the Flow Document Generator to create documentation associated with a project. It will generate on the fly a Microsoft Word™ .docx file that provides information regarding the following objects of the flow:

  • Datasets

  • Recipes

  • Managed Folders

  • Saved Models

  • Model Evaluation Stores

  • Labeling Tasks

Generate a flow document

Note

To use this feature, the graphical export library must be activated on your DSS instance. Please check with your administrator.

You can generate a document from a project with the following steps:

  • Go to the flow of the project

  • Click the Flow Actions button on the bottom-right corner

  • Select Export documentation

  • On the modal dialog, select the default template or upload your own template, and click Export to generate the document

  • After the document is generated, you will be able to download your generated document using the Download link

Custom templates

If you want the document generator to use your own template, you need to use Microsoft Word™ to create a .docx file.

You can create your base document as you would create a normal Word document

Sample templates

Instead of starting from scratch, you can modify the default template:

Download the default template here

Placeholders

A placeholder is defined by a placeholder name inside two brackets, like {{project.name}}. The generator will read the placeholder and replace it with the value retrieved from the project.

There are multiple types of placeholders, which can produce text, an image or a variable.

Conditional placeholders

You can customize even more your template by using conditional placeholders to display different information depending on the values of some placeholders

A conditional placeholder contains three elements, and each of them needs to be on a separate line:

  • a condition

  • a text to display if the condition is valid

  • a closing element

The condition itself is composed of three parts:

  • a text placeholder

  • an operator (== or !=)

  • a reference value

Example:

{{if my.placeholder == myReferenceValue }}

The placeholder is replaced by its value during document generation and compared to the reference value. If the condition is correct, the text is displayed, otherwise nothing will appear on the final document.

Note

To check if the value in the placeholder is empty, have a condition with no reference value.

Example:

{{if project.short_desc != }}

Project description: {{ project.short_desc }}

{{endif project.short_desc }}

Here is a more advanced example with a conditional boolean placeholders using a variable provided by an iterable placeholder. Boolean placeholders return the values “Yes” or “No” as text.

{{ if $recipe.is_code_recipe == Yes }}

Recipe code: {{ $recipe.payload }}

{{ endif $recipe.is_code_recipe }}

Iterable Placeholders

Iterable placeholders contain one or multiple objects and must be used with a foreach keyword, like this: {{ foreach $variableName in placeholder.name }} (replace variableName with the name you want for your variable, and placeholder.name with the name of the placeholder). Iterable placeholders provide a variable that can be used in other placeholders, depending on its type. The type of the variable depends on the iterable placeholder that provided it. see placeholder list.

Syntax rules:

  • A variable name must start with a $ and must not contain any ..

  • Iterable placeholders need to be closed with a {{ endforeach $variableName }}

For example, the placeholder flow.datasets will iterate over all the datasets of the flow and the variable it provides is of type $dataset so it can use all the placeholders starting with $dataset. Here’s an example of how it can be used:

{{ foreach $d in flow.datasets }}

Dataset name: {{ $d.name }}
Dataset type: {{ $d.type }}

{{ endforeach $d }}

In this example, we iterate over all the datasets contained in the placeholder flow.datasets and for each of these placeholders, we print the name and the type of the dataset.

It is possible to have an iterable placeholder inside another iterable. For example, to print the schema columns of all the datasets, you would do:

{{ foreach $dataset in flow.datasets }}

Dataset name: {{ $dataset.name }}
Dataset type: {{ $dataset.type }}

Schema:
{{ foreach $column in $dataset.schema.columns }}

    Column name: {{ $column.name }}
    Column type: {{ $column.type }}

{{ endforeach $column }}
{{ endforeach $dataset }}

Count placeholders

To know the number of elements in an iterable placeholder, use .count after the name of the iterable. This can be useful when used with a conditional placeholder if you don’t want to display a section if there is no element. For example:

{{ if flow.models.count != 0 }}

Saved model section

There are {{ flow.models.count }} in the flow.

{{ foreach $model in flow.models }}

// Display model info

{{ endforeach $model }}
{{ endif flow.models.count }}

Type placeholders

To know the type of a variable, use .$type after the name of the variable. This can be useful when used with a conditional placeholder if you want to display something different for a specific type in an iterable placeholder that can output multiple types. See union-type iterable placeholders.

Union-types iterables

Some iterable placeholders can iterate over multiple types at the same time. For example, if you want to iterate over the outputs of a recipe, the type of the outputs can be datasets, managed folders, saved models or, model evaluation stores.

A variable created by an iterable placeholder with multiple output types can use all the placeholders common to the types it can be. The main flow objects (datasets, folders, recipes, models, labeling tasks and model evalutation stores) have at least these common placeholders:

  • id

  • name

  • creation.date

  • creation.user

  • last_modification.date

  • last_modification.user

  • short_desc

  • long_desc

  • tags

  • tags.list

If you want to use a placeholder specific to only one of the types, you need to use a conditional placeholder to check the type of the variable.

For example, to iterate over the outputs of a recipe:

{{ foreach $output in $recipe.outputs.all }}

Output name: {{ $output.name }}
Output description: {{ $output.short_desc }}

{{ if $output.$type = $dataset }}
// this placeholder would fail for other types, so it has to be used only for datasets
Dataset connection: {{ $output.connection }}
{{endif $output.$type }}

{{ endforeach $output }}

Note

If there is a problem during the generation of the document, for example if a placeholder contains a typo, if a placeholder is used on a variable with the wrong type or if there is no “end” placeholder after foreach or if placeholders, the placeholders will be removed in the final document and there will be a warning displayed after the generation.

../_images/FDG_warning.png

List of placeholders

Placeholder name

Output type

Description / prerequisite

config.author.email

Text

The email of the user running the Flow Document Generator

config.author.name

Text

The user running the Flow Document Generator

config.dss.version

Text

The version of the instance

config.generation_date

Text

The date when the document is generated

config.output_file.name

Text

The name of the document generated

config.project.link

Text

A link to the project

flow.datasets

$dataset

All datasets contained in this project

flow.folders

$folder

All managed folders contained in this project

flow.labeling_tasks

$labeling_task

All labeling tasks in the project

flow.model_evaluation_stores

$model_evaluation_store

All model evaluation stores contained in the project

flow.models

$model

All models contained in the project

flow.picture.landscape

Image

A screenshot of the flow using landscape orientation. If the flow is too big to fit on one page, several pictures will be produced and inserted into the document. Each picture will be about as big as can fit on a single page.

flow.picture.portrait

Image

A screenshot of the flow using portrait orientation. If the flow is too big to fit on one page, several pictures will be produced and inserted into the document. Each picture will be about as big as can fit on a single page.

flow.recipes

$recipe

All recipes that are contained in the project.

project.creation.date

Text

Creation date of the documented project

project.creation.user

Text

The display name of the user who created the documented project

project.current.git.branch

Text

The name of the currently active git branch of the documented project

project.key

Text

The key of the documented project

project.last_modification.date

Text

Date and time of the last modification of the documented project

project.last_modification.user

Text

The display name of the user who last modified the documented project

project.long_desc

Text

Long description of the documented project

project.name

Text

The name of the documented project

project.short_desc

Text

Short description of the documented project

project.status

Text

The status of the documented project

project.tags

$tag

The list of tags associated with the documented project as an iterable placeholder (see project.tags.list for a simpler version)

project.tags.list

Text

The list of tags associated with the documented project as a single string for simpler usage (all tags are concatenated, separated by commas - see project.tags for the iterable version)

$chart

Placeholder name

Output type

Description / prerequisite

$chart.name

Text

Name of the chart

$condition

Placeholder name

Output type

Description / prerequisite

$condition.description

Text

Returns a small description of the condition.

$condition.left_column.name

Text

Returns the name of the first column in the condition

$condition.right_column.name

Text

Returns the name of the second column in the condition

$data_relationship

Placeholder name

Output type

Description / prerequisite

$data_relationship.conditions

$condition

Returns the list of join conditions linking the two datasets in data relationship.

$data_relationship.left_dataset.name

Text

Returns the name of the left hand dataset in a data relationship.

$data_relationship.left_dataset.participant_index

Text

Returns the index of the left hand dataset in the list of participants in data relationships, or ‘primary’ for the primary dataset (the same enrichment dataset can appear multiple times in the list with different indices, as part of different relationships).

$data_relationship.left_dataset.time_index

Text

Returns the column name of the time index of the left hand dataset in a data relationship.

$data_relationship.left_dataset.time_windows

$time_window

Returns the time windows related to the left hand dataset in a data relationship.

$data_relationship.right_dataset.name

Text

Returns the name of the right hand dataset in a data relationship.

$data_relationship.right_dataset.participant_index

Text

Returns the index of the right hand dataset in the list of participants in data relationships, or ‘primary’ for the primary dataset (the same enrichment dataset can appear multiple times in the list with different indices, as part of different relationships).

$data_relationship.right_dataset.time_index

Text

Returns the column name of the time index of the right hand dataset in a data relationship.

$data_relationship.right_dataset.time_windows

$time_window

Returns the time windows related to the right hand dataset in a data relationship.

$data_relationship.type

Text

Returns the type of data relationship, such as ‘one-to-many’.

$dataset

Placeholder name

Output type

Description / prerequisite

$dataset.charts

$chart

List of the charts associated with this dataset. For datasets shared between multiple projects, only the charts created in the current project are returned.

$dataset.connection

Text

The name of the connection used for this dataset

$dataset.containing.folder

$folder

For ‘Files in Folder’ datasets, the folder that is the source of this dataset. It’s returned as an iterable with 1 element. For datasets that are not ‘Files in Folder’, or if the source folder is not in this project ($dataset is foreign), returns an iterable that contains 0 elements.

$dataset.creation.date

Text

Creation date for the dataset

$dataset.creation.user

Text

The display name of the user who created this dataset

$dataset.data_steward

Text

The display name of the user set as Data Steward for the dataset, or None if no user was set.

$dataset.full_name

Text

The full name of the dataset (includes the project key)

$dataset.id

Text

Id of the documented dataset (without the project qualifier, yields the same result as $dataset.name)

$dataset.is_foreign

Text (Yes/No)

Whether the dataset is foreign, eg if it belongs to another project but is exposed to this one.

$dataset.is_partitioned

Text (Yes/No)

Whether the dataset is partitioned

$dataset.last_modification.date

Text

The date of the last modification

$dataset.last_modification.user

Text

The display name of the last modification author

$dataset.long_desc

Text

The long description of the documented dataset

$dataset.name

Text

The short name of the documented dataset (yields the same result as $dataset.id)

$dataset.parent.all

$recipe, $labeling_task

The parent of the current dataset. It’s returned as an iterable, that can contain 0 or 1 element.

$dataset.parent.labeling_tasks

$labeling_task

The parent labeling task of the current dataset. It’s returned as an iterable, that can contain 0 or 1 element.

$dataset.parent.recipes

$recipe

The parent recipe of the current dataset. It’s returned as an iterable, that can contain 0 or 1 element.

$dataset.project.key

Text

The key of the project containing this dataset (mostly useful for foreign datasets, otherwise yields the same result as project.key)

$dataset.project.name

Text

The name of the project containing this dataset (mostly useful for foreign datasets, otherwise yields the same result as project.name)

$dataset.schema.columns

$schema_column

Schema of the dataset, as a list of the schema columns.

$dataset.short_desc

Text

The short description of the documented dataset

$dataset.status.last_build

Text

Date and time of the last build. If no build is logged in the job database, ‘No build recorded’.

$dataset.status.partition_count

Text

Last known number of partitions of the dataset. Using the placeholder will not trigger a computation as it can be long and expensive, so the value may be outdated if the dataset has changed since. If the size has never been computed, returns ‘Not computed’. If a recent value is required, it should be precomputed using the tools offered by DSS (metrics & scenarios). For non-partitioned datasets, returns 1.

$dataset.status.record_count

Text

Last known number of records contained in the dataset. Using the placeholder will not trigger a computation as it can be long and expensive, so the value may be outdated if the dataset has changed since. If the size has never been computed, returns ‘Not computed’. If a recent value is required, it should be precomputed using the tools offered by DSS (metrics & scenarios).

$dataset.status.total_size

Text

Last known size of the dataset files, if applicable. Using the placeholder will not trigger a computation as it can be long and expensive, so the value may be outdated if the dataset has changed since. If the size has never been computed, returns ‘Not computed’. If a recent value is required, it should be precomputed using the tools offered by DSS (metrics & scenarios).

$dataset.successors.all

$recipe, $labeling_task

The successors of the current dataset. It’s returned as an iterable, that can contain 0 or more elements.

$dataset.successors.labeling_tasks

$labeling_task

The successor labeling tasks of the current dataset. It’s returned as an iterable, that can contain 0 or more elements.

$dataset.successors.recipes

$recipe

The successor recipes of the current dataset. It’s returned as an iterable, that can contain 0 or more elements.

$dataset.tags

$tag

The list of tags associated with this dataset as an iterable placeholder (see $dataset.tags.list for a simpler version)

$dataset.tags.list

Text

The list of tags associated with this dataset as a single string for simpler usage (all tags are concatenated, separated by commas - see $dataset.tags for the iterable version)

$dataset.type

Text

The type of the documented dataset

$dataset.worksheets

$worksheet

List of the worksheets associated with this dataset. For datasets shared between multiple projects, only the worksheets created in the current project are returned.

$file

Placeholder name

Output type

Description / prerequisite

$file.last_modified

Text

The last modification date of a file.

$file.path

Text

The path of a file relative to its containing managed folder.

$file.size

Text

The size of a file

$folder

Placeholder name

Output type

Description / prerequisite

$folder.connection

Text

The name of the connection used for this managed folder

$folder.creation.date

Text

Creation date for the managed folder

$folder.creation.user

Text

The display name of the user who created this managed folder

$folder.files_in_folder.datasets

$dataset

The ‘Files in Folder’ datasets build from this folder. It’s returned as an iterable, that can contain 0 or more elements.

$folder.files.list

$file

List all the files contained in the managed folder. Warning, this placeholder should be used with care because of the possible very high number of files contained in a managed folder, which could make this listing operation very long (and possibly costly depending on the managed folder location)

$folder.full_id

Text

The full id of the documented managed folder (looks like PROJECTKEY.folderid)

$folder.id

Text

Id of the documented managed folder (without the project qualifier)

$folder.is_foreign

Text (Yes/No)

Whether the managed folder is foreign, eg if it belongs to another project but is exposed to this one.

$folder.is_partitioned

Text (Yes/No)

Whether the managed folder is partitioned

$folder.last_modification.date

Text

The date of the last modification

$folder.last_modification.user

Text

The display name ofthe last modification author

$folder.long_desc

Text

The long description of the documented managed folder

$folder.name

Text

The short name of the documented managed folder

$folder.parent.recipes

$recipe

The parent recipe of the current managed folder. It’s returned as an iterable, that can contain 0 or 1 element.

$folder.project.key

Text

The key of the project containing this managed folder (mostly useful for foreign folders, otherwise yields the same result as project.key)

$folder.project.name

Text

The name of the project containing this managed folder (mostly useful for foreign folders, otherwise yields the same result as project.name)

$folder.short_desc

Text

The short description of the documented managed folder

$folder.successors.all

$recipe, $labeling_task

The successor of the current managed folder. It’s returned as an iterable, that can contain 0 or more elements.

$folder.successors.labeling_tasks

$labeling_task

The successor labeling tasks of the current managed folder. It’s returned as an iterable, that can contain 0 or more elements.

$folder.successors.recipes

$recipe

The successor recipes of the current managed folder. It’s returned as an iterable, that can contain 0 or more elements.

$folder.tags

$tag

The list of tags associated with this recipe as an iterable placeholder (see $folder.tags.list for a simpler version)

$folder.tags.list

Text

The list of tags associated with this recipe as a single string for simpler usage (all tags are concatenated, separated by commas - see $folder.tags for the iterable version)

$folder.type

Text

The type of the documented managed folder

$join

Placeholder name

Output type

Description / prerequisite

$join.condition_mode

Text

Returns the condition mode of the join (And, Or, Natural, Custom)

$join.conditions

$condition

Return the list of condition of the join.

$join.left_dataset.name

Text

Returns the name of the first dataset in the join

$join.right_dataset.name

Text

Returns the name of the second dataset in the join

$join.type

Text

Returns the type of join (Inner, Outer, etc.)

$labeling_task

Placeholder name

Output type

Description / prerequisite

$labeling_task.creation.date

Text

Creation date of the labeling task

$labeling_task.creation.user

Text

The display name ofthe user who created the labeling task

$labeling_task.id

Text

Id of the labeling task (without the project qualifier)

$labeling_task.inputs.all

$dataset, $folder

The list of all items that are used as input for this labeling task. The output has a mixed type, so you must be careful how it is used in order not to generate errors when generating a document on a complex flow (see union-type iterable placeholders for more details)

$labeling_task.inputs.datasets

$dataset

The list of dataset that are used as input for this labeling task. The labeling task may have a folder as input, that is not listed here (see $labeling_task.inputs.folders or $labeling_task.inputs.all)

$labeling_task.inputs.folders

$folder

The list of managed folders that are used as input for this labeling task. The labeling task should have a dataset as input, that is not listed here (see $labeling_task.inputs.datasets or $labeling_task.inputs.all)

$labeling_task.last_modification.date

Text

The date of the last modification

$labeling_task.last_modification.user

Text

The display name ofthe last modification author

$labeling_task.long_desc

Text

The long description of the labeling task

$labeling_task.name

Text

Name of the labeling task

$labeling_task.outputs.datasets

$dataset

The list of dataset used as output for this labeling task

$labeling_task.short_desc

Text

The short description of the labeling task

$labeling_task.tags

$tag

The list of tags associated with this labeling task as an iterable placeholder (see $labeling_task.tags.list for a simpler version)

$labeling_task.tags.list

Text

The list of tags associated with this labeling task as a single string for simpler usage (all tags are concatenated, separated by commas - see $labeling_task.tags for the iterable version)

$labeling_task.type

Text

Type of the labeling task

$model

Placeholder name

Output type

Description / prerequisite

$model.active_version.name

Text

Name of the active version of the model

$model.creation.date

Text

Creation date of the model

$model.creation.user

Text

The display name ofthe user who created the model

$model.id

Text

Id of the model (without the project qualifier)

$model.is_foreign

Text (Yes/No)

Whether the model is foreign, e.g. if it belongs to another project but is exposed to this one

$model.last_modification.date

Text

The date of the last modification

$model.last_modification.user

Text

The display name ofthe last modification author

$model.long_desc

Text

The long description of the documented model

$model.name

Text

Name of the model

$model.parent.recipes

$recipe

The parent recipe of the current model. It’s returned as an iterable, that can contain 0 or 1 element.

$model.project.key

Text

The key of the project containing this model (mostly useful for foreign models, otherwise yields the same result as project.key)

$model.project.name

Text

The name of the project containing this model (mostly useful for foreign models, otherwise yields the same result as project.name)

$model.short_desc

Text

The short description of the documented model

$model.successors.recipes

$recipe

The successor recipes of the current model. It’s returned as an iterable, that can contain 0 or more elements.

$model.tags

$tag

The list of tags associated with this model as an iterable placeholder (see $model.tags.list for a simpler version)

$model.tags.list

Text

The list of tags associated with this model as a single string for simpler usage (all tags are concatenated, separated by commas - see $model.tags for the iterable version)

$model_evaluation_store

Placeholder name

Output type

Description / prerequisite

$model_evaluation_store.creation.date

Text

Creation date of the model evaluation store

$model_evaluation_store.creation.user

Text

The display name ofthe user who created the model evaluation store

$model_evaluation_store.id

Text

Id of the model evaluation store (without the project qualifier)

$model_evaluation_store.is_foreign

Text (Yes/No)

Whether the model evaluation store is foreign, e.g. if it belongs to another project but is exposed to this one

$model_evaluation_store.last_modification.date

Text

The date of the last modification

$model_evaluation_store.last_modification.user

Text

The display name ofthe last modification author

$model_evaluation_store.long_desc

Text

The long description of the documented model evaluation store

$model_evaluation_store.name

Text

Name of the model evaluation store

$model_evaluation_store.parent.recipes

$recipe

The parent recipe of the current model evaluation store. It’s returned as an iterable, that can contain 0 or 1 element.

$model_evaluation_store.project.key

Text

The key of the project containing this model evaluation store (mostly useful for foreign model evaluation stores, otherwise yields the same result as project.key)

$model_evaluation_store.project.name

Text

The name of the project containing this model evaluation store (mostly useful for foreign model evaluation stores, otherwise yields the same result as project.name)

$model_evaluation_store.short_desc

Text

The short description of the documented model evaluation store

$model_evaluation_store.successors.recipes

$recipe

The successor recipes of the current model evaluation store. It’s returned as an iterable, that can contain 0 or more elements.

$model_evaluation_store.tags

$tag

The list of tags associated with this model evaluation store as an iterable placeholder (see $model_evaluation_store.tags.list for a simpler version)

$model_evaluation_store.tags.list

Text

The list of tags associated with this model evaluation store as a single string for simpler usage (all tags are concatenated, separated by commas - see $model_evaluation_store.tags for the iterable version)

$recipe

Placeholder name

Output type

Description / prerequisite

$recipe.bottom_rows.count

Text

For Top N recipes, the number of bottom rows to keep

$recipe.code_env

Text

For code recipes that use code env, return the code env used. See $recipe.has_code_env for an easy way to check if a given recipe has a code env.

$recipe.creation.date

Text

Creation date for the recipe

$recipe.creation.user

Text

The display name ofthe user who created this recipe

$recipe.cutoff_time

Text

For a ‘Generate features’ recipe, returns the name of the column in the primary dataset used for the cutoff time (or an empty string if it was not set). Can only be used for a Generate features recipe, otherwise will issue a warning and output nothing.

$recipe.data_relationships

$data_relationship

For a generate Features recipe, returns the list of data relationships. Can only be used for a ‘Generate features’ recipe, otherwise will issue a warning and output nothing.

$recipe.distinct_keys

Text

For a Distinct recipe, returns the list of selected columns, as a string separated by ‘, ‘. Can only be used with a Distinct recipe, otherwise will issue a warning and output nothing.

$recipe.feature_transformations.categorical

Text

For a ‘Generate features’ recipe, returns the active feature transformations of type ‘categorical’ (in the form of a string separated by ‘, ‘). Can only be used for a ‘Generate features’ recipe, otherwise will issue a warning and output nothing.

$recipe.feature_transformations.date

Text

For a ‘Generate features’ recipe, returns the active feature transformations of type ‘date’ (in the form of a string separated by ‘, ‘). Can only be used for a ‘Generate features’ recipe, otherwise will issue a warning and output nothing.

$recipe.feature_transformations.general

Text

For a ‘Generate features’ recipe, returns the active feature transformations of type ‘general’ (in the form of a string separated by ‘, ‘). Can only be used for a ‘Generate features’ recipe, otherwise will issue a warning and output nothing.

$recipe.feature_transformations.numerical

Text

For a ‘Generate features’ recipe, returns the active feature transformations of type ‘numerical’ (in the form of a string separated by ‘, ‘). Can only be used for a ‘Generate features’ recipe, otherwise will issue a warning and output nothing.

$recipe.feature_transformations.text

Text

For a ‘Generate features’ recipe, returns the active feature transformations of type ‘text’ (in the form of a string separated by ‘, ‘). Can only be used for a ‘Generate features’ recipe, otherwise will issue a warning and output nothing.

$recipe.group_keys

Text

For a Grouping recipe, returns the list of group keys, as a string separated by ‘, ‘. Can only be used with a Grouping recipe, otherwise will issue a warning and output nothing.

$recipe.has_code_env

Text

Indicates if the recipe has code env.

$recipe.id

Text

Id of the documented recipe (without the project qualifier, yields the same result as $recipe.name)

$recipe.inputs.all

$dataset, $folder, $model, $model_evaluation_store

The list of all items that are used as input for this recipe. The output has a mixed type, so you must be careful how it is used in order to not generate errors when generating a document on a complex flow (see union-type iterable placeholders for more details)

$recipe.inputs.datasets

$dataset

The list of datasets that are used as input for this recipe. The recipe may have other objects as input, that are not listed here (see $recipe.inputs.xxx)

$recipe.inputs.folders

$folder

The list of managed folders that are used as input for this recipe. The recipe may have other objects as input, that are not listed here (see $recipe.inputs.xxx)

$recipe.inputs.model_evaluation_stores

$model_evaluation_store

The list of model evaluation stores that are used as input for this recipe. The recipe may have other objects as input, that are not listed here (see $recipe.inputs.xxx)

$recipe.inputs.models

$model

The list of saved models that are used as input for this recipe. The recipe may have other objects as input, that are not listed here (see $recipe.inputs.xxx)

$recipe.is_code_recipe

Text (Yes/No)

Indicate if the recipe is a code recipe

$recipe.is_filtered

Text (Yes/No)

For a Sample / filter recipe, indicates whether the filter option is enabled. Can only be used with a Sample / Filter recipe, otherwise will issue a warning and output nothing.

$recipe.is_join

Text (Yes/No)

Indicates if the recipe is a join-like recipe (Join, Fuzzyjoin, Geojoin)

$recipe.is_sampled

Text (Yes/No)

For a Sample / filter recipe, indicates whether the sample option is enabled (ie if the sample mode is not a full dataset). Can only be used with a Sample / Filter recipe, otherwise will issue a warning and output nothing.

$recipe.joins

$join

For join-like recipes, returns the list of joins in the recipe.

$recipe.last_modification.date

Text

The date of the last modification

$recipe.last_modification.user

Text

The display name ofthe last modification author

$recipe.left_unmatched_output.datasets

$dataset

For a join recipe, the left unmatched rows output dataset, if it exists. It’s returned as an iterable, that can contain 0 or 1 element.

$recipe.left_unmatched_output.may_exist

Text (Yes/No)

For a join recipe, whether the join settings allow to save unmatched rows for the left dataset as a separate output

$recipe.left_unmatched_output.name

Text

For a join recipe, the name of the left unmatched rows output dataset, if it exists

$recipe.long_desc

Text

The long description of the documented recipe

$recipe.name

Text

Name of the recipe (yields the same result as $recipe.id)

$recipe.outputs.all

$dataset, $folder, $model, $model_evaluation_store

The list of all items that are used as outputs of this recipe. The output has a mixed type, so you must be careful how it is used in order to not generate errors when generating a document on a complex flow (see union-type iterable placeholders for more details)

$recipe.outputs.datasets

$dataset

The list of datasets that are used as outputs of this recipe. The recipe may have other objects as output, that are not listed here (see $recipe.outputs.xxx)

$recipe.outputs.folders

$folder

The list of managed folders that are used as outputs of this recipe. The recipe may have other objects as output, that are not listed here (see $recipe.outputs.xxx)

$recipe.outputs.model_evaluation_stores

$model_evaluation_store

The list of model evaluation stores that are used as outputs of this recipe. The recipe may have other objects as output, that are not listed here (see $recipe.outputs.xxx)

$recipe.outputs.models

$model

The list of saved models that are used as outputs of this recipe. The recipe may have other objects as output, that are not listed here (see $recipe.outputs.xxx)

$recipe.payload

Text

Returns the raw payload of the recipe.

$recipe.pivots

Text

For Pivot recipe, returns a comma-separated list of the pivot columns

$recipe.populated_columns

Text

For Pivot recipe, returns a comma-separated list of all the populated columns, only the name of the columns and the ‘Count of records’ are shown

$recipe.prepare.steps

$step

For Prepare recipes, returns the list of steps of the recipe.

$recipe.primary_dataset

Text

For a ‘Generate features’ recipe, returns the name of the primary dataset. Can only be used for a ‘Generate features’ recipe, otherwise will issue a warning and output nothing.

$recipe.right_unmatched_output.datasets

$dataset

For a join recipe, the right unmatched rows output dataset, if it exists. It’s returned as an iterable, that can contain 0 or 1 element.

$recipe.right_unmatched_output.may_exist

Text (Yes/No)

For a join recipe, whether the join settings allow to save unmatched rows for the right dataset as a separate output

$recipe.right_unmatched_output.name

Text

For a join recipe, the name of the right unmatched rows output dataset, if it exists

$recipe.row_identifiers

Text

For Pivot recipe, returns a comma-separated list of the row identifiers

$recipe.short_desc

Text

The short description of the documented recipe

$recipe.sorting_columns

$sorted_column

For Sort and Top N recipe, iterates over the sorted columns

$recipe.split_mode

Text

For a Split recipe, returns a text explaining which rule is applied to split the input data. Can only be used with a Split recipe, otherwise will issue a warning and output nothing.

$recipe.stack_mode

Text

For a Stack recipe, returns a text explaining which rule is applied to merge the schema of the input datasets. If the selected mode is to use the schema of one input dataset, its name will be indicated. Can only be used with a Stack recipe, otherwise will issue a warning and output nothing.

$recipe.tags

$tag

The list of tags associated with this recipe as an iterable placeholder (see $recipe.tags.list for a simpler version)

$recipe.tags.list

Text

The list of tags associated with this recipe as a single string for simpler usage (all tags are concatenated, separated by commas - see $recipe.tags for the iterable version)

$recipe.top_rows.count

Text

For Top N recipes, the number of top rows to keep

$recipe.type

Text

Type of the recipe, as displayed by the UI.

$recipe.unique_keys

Text

For a Push to Editable recipe, returns the list of columns used to identify the lines (unique keys in the UI), as a string separated by ‘, ‘. Can only be used with a Push to Editable recipe, otherwise will issue a warning and output nothing.

$recipe.windows

$window

For Window recipes, iterate over the windows of the recipe.

$schema_column

Placeholder name

Output type

Description / prerequisite

$schema_column.description

Text

Description of the column

$schema_column.name

Text

Name of the column

$schema_column.type

Text

Storage type of the column

$sorted_column

Placeholder name

Output type

Description / prerequisite

$sorted_column.direction

Text (Ascending/Descending)

The direction of the sort (Ascending or Descending)

$sorted_column.name

Text

The name of the column

$step

Placeholder name

Output type

Description / prerequisite

$step.comment

Text

Returns the comment of the step, if there is one.

$step.type

Text

Returns the type of the step.

$tag

Placeholder name

Output type

Description / prerequisite

$tag.name

Text

The name of a tag

$time_window

Placeholder name

Output type

Description / prerequisite

$time_window.from

Text

Returns the starting point of the interval in a time window (in the number of multiples of the unit prior to the cutoff time).

$time_window.to

Text

Returns the end point of the interval in a time window (the number of multiples of the unit prior to the cutoff time).

$time_window.units

Text

Returns the units used in the time window, in pluralized form, e.g. ‘days’.

$window

Placeholder name

Output type

Description / prerequisite

$window.name

Text

The name of the window

$window.partitioning_columns

Text

Comma-separated list of the partitioning columns of the window

$worksheet

Placeholder name

Output type

Description / prerequisite

$worksheet.name

Text

Name of the worksheet