Source compatibility methods.

List of methods that allow compatibility of different source types. Most of the methods should be defined in order to make new source layer functioning. See 'Details' section for more information.

Usage

.init_step(source, ...)

# S3 method for default
.init_step(source, ...)

.collect_data(source, data_object)

# S3 method for default
.collect_data(source, data_object)

.get_stats(source, data_object)

# S3 method for default
.get_stats(source, data_object)

.pre_filtering(source, data_object, step_id)

.post_filtering(source, data_object, step_id)

.post_binding(source, data_object, step_id)

.repro_code_tweak(source, code_data)

# S3 method for default
.pre_filtering(source, data_object, step_id)

# S3 method for default
.post_filtering(source, data_object, step_id)

# S3 method for default
.post_binding(source, data_object, step_id)

.get_attrition_label(source, step_id, step_filters, ...)

# S3 method for default
.get_attrition_label(source, step_id, step_filters, ...)

.get_attrition_count(source, data_stats, ...)

# S3 method for default
.get_attrition_count(source, data_stats, ...)

.run_binding(source, ...)

# S3 method for default
.run_binding(source, binding_key, data_object_pre, data_object_post, ...)

# S3 method for tblist
.init_step(source, ...)

# S3 method for tblist
.collect_data(source, data_object)

# S3 method for tblist
.get_stats(source, data_object)

Arguments

source

Source object.

...

Other parameters passed to specific method.

data_object

Object that allows source data access. `data_object` is the result of `.init_step` method (or object of the same structure).

step_id

Name of the step visible in resulting plot.

code_data

Data frame storing `type`, `expr` and filter or step related columns.

step_filters

List of step filters.

data_stats

Data frame presenting statistics for each filtering step.

binding_key

Binding key describing currently processed relation.

data_object_pre

Object storing unfiltered data in the current step (previous step result).

data_object_post

Object storing current data (including active filtering and previously done bindings).

Value

Depends on specific method. See `vignette("custom-extensions")` for more details.

Details

The package is designed to make the functionality work with multiple data sources. Data source can be based for example on list of tables, connection to database schema or API service that allows to access and operate on data. In order to make new source type layer functioning, the following list of methods should be defined:

• .init_source - Defines how to extract data object from source. Each filtering step assumes to be operating on resulting data object (further named data_object) and returns object of the same type and structure.

• .collect_data - Defines how to collect data (into R memory) from `data_object`.

• .get_stats - Defines what `data_object` statistics should be calculated and how. When provided the stats can be extracted using stat.

• .pre_filtering - (optional) Defines what operation on `data_object` should be performed before applying filtering in the step.

• .post_filtering - (optional) Defines what operation on `data_object` should be performed after applying filtering in the step (before running binding).

• .post_binding - (optional) Defines what operation on `data_object` should be performed after applying binding in the step.

• .run_binding - (optional) Defines how to handle post filtering data binding. See more about binding keys at binding-keys.

• .get_attrition_count and .get_attrition_label - Methods defining how to get statistics and labels for attrition plot.

• .repro_code_tweak - (optional) Default method passed as a `modifier` argument of code function. Aims to modify reproducible code into the final format.

Except from the above methods, you may extend the existing or new source with providing custom filtering methods. See creating-filters. In order to see more details about how to implement custom source check `vignette("custom-extensions")`.