How to catch exception clickhouse_driver dbapi? - python

I want to catch exception while executing scipts/connecting to base using clickhouse_driver-drive dbapi.
Can I catch errors codes and errors message like
errorcodes.lookup(e.pgcode)
and
e.diag.message_primary
from
psycopg2.import errorcodes?

Assuming you're using the most well known clickhouse-driver from here: https://pypi.org/project/clickhouse-driver (GitHub here: https://github.com/mymarilyn/clickhouse-driver), you must catch standard exceptions/errors. Most errors are defined in the clickhouse_driver.connection module, and they include socket errors, EOF errors, and other lower level errors.
Even though the dbapi for that project defines exception classes, none of them are actually used in the code. The driver does not in any way use the errors or error codes from the PostgreSQL psycopg2 project.

Related

Formatting Python exception?

I'm importing some Python modules and they will raise exception with calls like raise TypeError(xyz). And now I want to change the line number of the reported exceptions if there is any.
I couldn't find the right solution on the site for my case, the one I found all required the raise() to be in a try and except block. With the warnings module I can do warnings.formatwarning to customize its format. Can I do the same with exception?

How to handle syntax Errors

So, we had instance in the past where code were broken in IOT devices because of syntax errors.
While there is exception handling in the code. I wanted to create a script to check and make sure that the codes compiles and run without syntax error, else the script replace the broken code by an earlier version.
I tried this
from delta_script import get_update
def test_function():
try:
get_update()
except SyntaxError as syntaxError:
replace_script("utility.py", syntaxError)
except Exception as ignored:
pass
However the problem it when it hit a SyntaxError, it just throw it on the screen and replace_script
because the exception happens on delta_script.py from which get_update() was imported.
So what's the solution in this case?
I have also another function
def compile():
try:
for file in compile_list:
py_compile.compile(file)
except Exception as exception:
script_heal(file, exception)
however in this one, it never report any exception, because I go and introduce syntaxError and the code still compile without reporting an error
Any one could help me figure out a better way to solve those two problems?
thanks,
SyntaxErrors occur at compile time, not run time, so you generally can't catch them. There are exceptions, involving run time compilation using eval/exec, but in general, except SyntaxError: is nonsensical; something goes wrong compiling the code before it can run the code that sets up the try/except to catch the error.
The solution is to not write syntactically invalid code, or if you must write it (e.g. to allow newer Python syntax only when supported) to evaluate strings of said code dynamically with eval (often wrapping compile if you need something more complicated than a single expression) or exec.

Are Python Exceptions (apart from SyntaxError) runtime errors?

If I understand correctly, when I run a Python program, the Python interpreter generates bytecode (the .pyc file that appears alongside the .py source) unless the source contains a syntax error.
Does the bytecode compiler generate any other exceptions or are all the other exceptions raised at runtime when the .pyc code is being executed?
Well, any exception type can technically be raised during runtime via raise <exception>. But I assume that you understand this and are asking what exceptions might be raised while Python interprets your code (before execution). There are actually quite a few:
SyntaxError: This is raised by the parser as it reads the code. It results from invalid syntax such as unbalanced parenthesis, using a keyword in the wrong place, etc.
IndentationError: This is a subclass of SyntaxError and is raised whenever your code has improper indentation. An example would be:
if condition:
line_indented_4_spaces
line_indented_3_spaces
TabError: This is a subclass of IndentationError and is raised when you inconsistently mix tabs and spaces in a source file.
SystemError: This is raised by the interpreter when an internal operation fails. Encountering one usually means that your Python installation is messed up and might need a reinstall.
MemoryError: This is similar to SystemError and can be raised when an internal operation fails for lack of memory.
All of these exceptions can be raised before your code even begins to execute. The first three are caused by a corrupt source file and can be resolved by simply fixing the syntax or indentation. The latter two however are raised by the interpreter itself for internal operations which fail. This means that they are rare, but also that they are more serious and not so easy to fix.
There is no compilation step typically when you're working with Python code so I would argue that all errors in Python, SyntaxErrors included, are runtime errors.
For example, lets write this file:
in xrange(5):
That's obviously just nonsense (we'll even name it nonsense.py), but lets fire up the interpreter:
$ python
>>> try:
... import nonsense
... except SyntaxError:
... print("A syntax error occurred at runtime!")
...
A syntax error occurred at runtime!
>>>
So there you have it - a SyntaxError was raised and caught at runtime, which, in my mind at least, indicates that it's a runtime error.

Which Python exception should I throw?

I'm writing some code to manipulate the Windows clipboard. The first thing I do is to try and open the clipboard with OpenClipboard() function from the Windows API:
if OpenClipboard(None):
# Access the clipboard here
else:
# Handle failure
This function can fail. So if it does, I would like to raise an exception. My question is, which of the standard Python exceptions should I raise? I'm thinking WindowsError would be the right one, but not sure. Could someone please give me a suggestion?
It is better to avoid raising standard exceptions directly. Create your own exception class, inherit it from the most appropriate one (WindowsError is ok) and raise it. This way you'll avoid confusion between your own errors and system errors.
Raise the windows error and give it some extra infomation, for example
raise WindowsError("Clipboard can't be opened")
Then when its being debugged they can tell what your windows error means rather than just a random windowserror over nothing.
WindowsError seems a reasonable choice, and it will record extra error information for you. From the docs:
exception WindowsError
Raised when a Windows-specific error occurs or when the error number does not correspond to an errno value. The winerror and strerror values are created from the return values of the GetLastError() and FormatMessage() functions from the Windows Platform API. The errno value maps the winerror value to corresponding errno.h values. ...

trapping a MySql warning

In my python script I would like to trap a "Data truncated for column 'xxx'" warning durnig my query using MySql.
I saw some posts suggesting the code below, but it doesn' work.
Do you know if some specific module must be imported or if some option/flag should be called before using this code?
Thanks all
Afeg
import MySQLdb
try:
cursor.execute(some_statement)
# code steps always here: No Warning is trapped
# by the code below
except MySQLdb.Warning, e:
# handle warnings, if the cursor you're using raises them
except Warning, e:
# handle warnings, if the cursor you're using raises them
Warnings are just that: warnings. They get reported to (usually) stderr, but nothing else is done. You can't catch them like exceptions because they aren't being raised.
You can, however, configure what to do with warnings, and turn them off or turn them into exceptions, using the warnings module. For instance, warnings.filterwarnings('error', category=MySQLdb.Warning) to turn MySQLdb.Warning warnings into exceptions (in which case they would be caught using your try/except) or 'ignore' to not show them at all. You can (and probably should) have more fine-grained filters than just the category.
Raise MySQL Warnings as errors:
import warnings, MySQLdb
warnings.filterwarnings('error', category=MySQLdb.Warning)
To ignore instead of raising an error, replace "error" with "ignore".
Handle them in a try-except block like:
try:
# a MySQL DB operation that raises a warning
# for example: a data truncated warning
except Warning as a_warning:
# do something here
I would try first to set the sql_mode. You can do this at the session level. If you execute a:
SET ##sql_mode:=TRADITIONAL;
(you could also set it at the server level, but you need access to the server to do that. and, that setting an still be overridden at the session level, so the bottom line is, always set it at the session level, immediately after establishing the connection)
then many things that are normally warnings become errors. I don't know how those manifest themselves at the python level, but the clear advantage is that the changes are not stored in the database. See: http://dev.mysql.com/doc/refman/5.1/en/server-sql-mode.html#sqlmode_traditional
If you want to trap it to ignore it see "Temporarily suppressing warnings" in Python's documentation:
https://docs.python.org/2/library/warnings.html#temporarily-suppressing-warnings
import warnings
with warnings.catch_warnings():
warnings.simplefilter("ignore")
# Put here your query raising a warning
Else, just read the doc about "warnings" module of Python, you can transform them into exception if you want to catch them later, etc... it's all here: https://docs.python.org/2/library/warnings.html
Just to add to Thomas Wouters reply, there is no need to import the warnings module to turn them into errors. Just run your script with "-W error" (or ignore) as flag for Python.
Have you tried using MySQL's SHOW WARNINGS command?
Stop using MySQLdb. It has such stupid behavior as truncating data and issuing only a warning. Use oursql instead.

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