| 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()