tbl_source {pointblank} | R Documentation |
Obtain a table-prep formula from a table store
Description
The tbl_source()
function provides a convenient means to access a
table-prep formula from either a tbl_store
object or a table store YAML
file (which can be created with the yaml_write()
function). A call to
tbl_source()
is most useful as an input to the tbl
argument of
create_agent()
, create_informant()
, or set_tbl()
.
Should you need to obtain the table itself (that is generated via the
table-prep formula), then the tbl_get()
function should be used for that.
Usage
tbl_source(tbl, store = NULL)
Arguments
tbl |
The table name associated with a table-prep formula. This is part
of the table |
store |
Either a table store object created by the |
Value
A table-prep formula.
Examples
Let's create a tbl_store
object by giving two table-prep formulas to
tbl_store()
.
store <- tbl_store( small_table_duck ~ db_tbl( table = small_table, dbname = ":memory:", dbtype = "duckdb" ), sml_table ~ pointblank::small_table )
We can pass a table-prep formula to create_agent()
via tbl_source()
, add
some validation steps, and interrogate the table shortly thereafter.
agent_1 <- create_agent( tbl = ~ tbl_source("sml_table", store), label = "`tbl_source()` example", actions = action_levels(warn_at = 0.10) ) %>% col_exists(columns = c(date, date_time)) %>% interrogate()
The agent_1
object can be printed to see the validation report in the
Viewer.
agent_1
The tbl_store
object can be transformed to YAML with the yaml_write()
function. The following statement writes the tbl_store.yml
file by default
(but a different name could be used with the filename
argument):
yaml_write(store)
Let's modify the agent's target to point to the table labeled as
"sml_table"
in the YAML representation of the tbl_store
.
agent_2 <- agent_1 %>% set_tbl( ~ tbl_source( tbl = "sml_table", store = "tbl_store.yml" ) )
We can likewise write the agent to a YAML file with yaml_write()
(writes to
agent-sml_table.yml
by default but the filename
allows for any filename
you want).
yaml_write(agent_2)
Now that both the agent and the associated table store are present as on-disk
YAML, interrogations can be done by using yaml_agent_interrogate()
.
agent <- yaml_agent_interrogate(filename = "agent-sml_table.yml")
Function ID
1-9
See Also
Other Planning and Prep:
action_levels()
,
create_agent()
,
create_informant()
,
db_tbl()
,
draft_validation()
,
file_tbl()
,
scan_data()
,
tbl_get()
,
tbl_store()
,
validate_rmd()