My question regards exception best practices. I'll present my question on a specific case with PyMySQL but it regards errors handling in general. I am using PyMySQL and out of the many possible exceptions, there is one I want to deal with in a specific manner. "Duplicate" exception.
pymysql maps mysql errors to python errors according to the following table:
_map_error(ProgrammingError, ER.DB_CREATE_EXISTS, ER.SYNTAX_ERROR,
ER.PARSE_ERROR, ER.NO_SUCH_TABLE, ER.WRONG_DB_NAME,
ER.WRONG_TABLE_NAME, ER.FIELD_SPECIFIED_TWICE,
ER.INVALID_GROUP_FUNC_USE, ER.UNSUPPORTED_EXTENSION,
ER.TABLE_MUST_HAVE_COLUMNS, ER.CANT_DO_THIS_DURING_AN_TRANSACTION)
_map_error(DataError, ER.WARN_DATA_TRUNCATED, ER.WARN_NULL_TO_NOTNULL,
ER.WARN_DATA_OUT_OF_RANGE, ER.NO_DEFAULT, ER.PRIMARY_CANT_HAVE_NULL,
ER.DATA_TOO_LONG, ER.DATETIME_FUNCTION_OVERFLOW)
_map_error(IntegrityError, ER.DUP_ENTRY, ER.NO_REFERENCED_ROW,
ER.NO_REFERENCED_ROW_2, ER.ROW_IS_REFERENCED, ER.ROW_IS_REFERENCED_2,
ER.CANNOT_ADD_FOREIGN, ER.BAD_NULL_ERROR)
_map_error(NotSupportedError, ER.WARNING_NOT_COMPLETE_ROLLBACK,
ER.NOT_SUPPORTED_YET, ER.FEATURE_DISABLED, ER.UNKNOWN_STORAGE_ENGINE)
_map_error(OperationalError, ER.DBACCESS_DENIED_ERROR, ER.ACCESS_DENIED_ERROR,
ER.CON_COUNT_ERROR, ER.TABLEACCESS_DENIED_ERROR,
ER.COLUMNACCESS_DENIED_ERROR)
I want to specifically catch ER.DUP_ENTRY but I only know how to catch IntegrityError and that leads to redundant cases within my exception catch.
cur.execute(query, values)
except IntegrityError as e:
if e and e[0] == PYMYSQL_DUPLICATE_ERROR:
handel_duplicate_pymysql_exception(e, func_a)
else:
handel_unknown_pymysql_exception(e, func_b)
except Exception as e:
handel_unknown_pymysql_exception(e, func_b)
Is there a way to simply catch only ER.DUP_ENTRY some how? looking for something like:
except IntegrityError.DUP_ENTRY as e:
handel_duplicate_pymysql_exception(e, func_a)
Thanks in advance for your guidance,
MySQL provides a handler to handle the exceptions in the stored procedures. You can handle these exceptions by declaring a handler using the MySQL DECLARE ... HANDLER Statement.
PyMySQL is an interface for connecting to a MySQL database server from Python. It implements the Python Database API v2. 0 and contains a pure-Python MySQL client library. The goal of PyMySQL is to be a drop-in replacement for MySQLdb.
In Python, exceptions can be handled using a try statement. The critical operation which can raise an exception is placed inside the try clause. The code that handles the exceptions is written in the except clause.
there is very generic way to use pymysql error handling. I am using this for sqlutil module. This way you can catch all your errors raised by pymysql without thinking about its type.
try:
connection.close()
print("connection closed successfully")
except pymysql.Error as e:
print("could not close connection error pymysql %d: %s" %(e.args[0], e.args[1]))
You cannot specify an expect clause based on an exception instance attribute obviously, and not even on an exception class attribute FWIW - it only works on exception type.
A solution to your problem is to have two nested try/except blocks, the inner one handling duplicate entries and re-raising other IntegrityError
s, the outer one being the generic case:
try:
try:
cur.execute(query, values)
except IntegrityError as e:
if e.args[0] == PYMYSQL_DUPLICATE_ERROR:
handle_duplicate_pymysql_exception(e, func_a)
else:
raise
except Exception as e:
handle_unknown_pymysql_exception(e, func_b)
Whether this is better than having a duplicate call to handle_unknown_pymysql_exception
is up to you...
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With