Here is a possible procedure for creating a method to retrieve a SQLite SQLITE_ROW entry based on the column name and datatype:
Define the inputs and outputs of the method. The method should take the following inputs:
Parse the query result to retrieve the index of the column with the specified name. SQLite statement objects have a method called "column_index" that can be used for this purpose. If the column does not exist in the result, return None.
Parse the row at the current position in the query result to retrieve the value of the column at the specified index. SQLite statement objects have a method called "column_value" that can be used for this purpose. If the column value is NULL, return None.
Check the datatype of the column value against the expected datatype. If they do not match, return None.
If the datatype matches, return the column value as a value of the expected datatype.
Here is an example implementation of this procedure in Python:
def get_column_entry(stmt, col_name, expected_type):
col_idx = stmt.column_index(col_name)
if col_idx < 0:
return None
col_value = stmt.column_value(col_idx)
if col_value is None:
return None
if type(col_value) != expected_type:
return None
return col_value
This method can be used like this:
stmt = conn.execute("SELECT * FROM my_table WHERE id = ?", [123])
row = stmt.fetchone()
id_value = get_column_entry(stmt, "id", int)
name_value = get_column_entry(stmt, "name", str)
This would retrieve the row with ID 123 from the "my_table" table, and then retrieve the values of the "id" and "name" columns from the row, making sure that they are integers and strings, respectively. If any of the values are missing or have the wrong datatype, the corresponding variables would be set to None.
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Asked: 2023-03-06 11:00:00 +0000
Seen: 11 times
Last updated: Mar 11 '22
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