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pointblank (version 0.6.0)

yaml_agent_string: Display pointblank YAML using an agent or a YAML file

Description

With pointblank YAML, we can serialize an agent's validation plan (with yaml_write()), read it back later with a new agent (with yaml_read_agent()), or perform an interrogation on the target data table directly with the YAML file (with yaml_agent_interrogate()). The yaml_agent_string() function allows us to inspect the YAML generated by yaml_write() in the console, giving us a look at the YAML without needing to open the file directly. Alternatively, we can provide an agent to the yaml_agent_string() and view the YAML representation of the validation plan without needing to write the YAML to disk beforehand.

Usage

yaml_agent_string(agent = NULL, path = NULL)

Arguments

agent

An agent object of class ptblank_agent.

path

A path to a YAML file that specifies a validation plan for an agent.

Function ID

9-5

See Also

Other pointblank YAML: yaml_agent_interrogate(), yaml_agent_show_exprs(), yaml_informant_incorporate(), yaml_read_agent(), yaml_read_informant(), yaml_write()

Examples

Run this code
# NOT RUN {
# Let's create a validation plan for the
# data quality analysis of the `small_table`
# dataset; we need an agent and its
# table-reading function enables retrieval
# of the target table
agent <- 
  create_agent(
    read_fn = ~small_table,
    label = "A simple example with the `small_table`.",
    actions = action_levels(
      warn_at = 0.10,
      stop_at = 0.25,
      notify_at = 0.35
    )
  ) %>%
  col_exists(vars(date, date_time)) %>%
  col_vals_regex(
    vars(b), "[0-9]-[a-z]{3}-[0-9]{3}"
  ) %>%
  rows_distinct() %>%
  col_vals_gt(vars(d), 100) %>%
  col_vals_lte(vars(c), 5)

# We can view the YAML file in the console
# with the `yaml_agent_string()` function,
# providing the `agent` object as the input
yaml_agent_string(agent = agent)

# The agent can be written to a pointblank
# YAML file with `yaml_write()`
# yaml_write(
#   agent = agent,
#   filename = "agent-small_table.yml"
# )

# The 'agent-small_table.yml' file is
# available in the package through `system.file()`
yml_file <- 
  system.file(
    "agent-small_table.yml",
    package = "pointblank"
  )

# The `yaml_agent_string()` function can
# be used with the YAML file as well
yaml_agent_string(path = yml_file)

# At a later time, the YAML file can
# be read into a new agent with the
# `yaml_read_agent()` function
agent <- yaml_read_agent(path = yml_file)
class(agent)
  
# }

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