Python check error code

In this post , we will explore – How to Check Syntax Errors in Python Code.

You can use various options to check for any syntax errors in Python without executing the script .

Try the below options –

Option 1 – Using Compilation Script :

• Using Python basic compilation . Use the code below and save it as any .py file e.g pythonSyntaxChecker.py

import sys
your_python_script_name = sys.argv[1]
source = open(your_python_script_name, 'r').read() + 'n'
compile(source, your_python_script_name, 'exec')

• Next run your Python script(say yourPythonScript.py) against the above script

python3 pythonSyntaxChecker.py yourPythonScript.py
OR
python pythonSyntaxChecker.py yourPythonScript.py

Option 2 – Using Direct Compilation :

• You can directly compile your Python script
• Note the below poinst –
  • python returns a non-zero exit code if the compilation fails.
  • Also type errors are not detected — those are only detected at runtime

python -m py_compile yourPythonScript.py

Option 3 – Using Pychecker :

• You can use PyChecker to syntax check your python code. Use code below from the command line:

  pychecker [options] YOUR_PYTHON_SCRIPT.py

• The [options] provides below features –
  • –only  –> only warn about files passed on the command line
  • -#, –limit –> the maximum number of warnings to be displayed
  • –no-shadowbuiltin –> check if a variable shadows a builtin
  • -q, –stdlib –> ignore warnings from files under standard library
  • -T, –argsused –> unused method/function arguments

• If you want to syntax check multiple Python scripts at one go ,

pychecker <YOUR_DIR>/*.py

Sample how pychecker shows the syntax errors –

script1.py:5: Imported module (string) not used
script1.py:6: Instantiating an object with arguments, but no constructor
script1.py:7: Object (useless) has no attribute (valeu)
script1.py:8: No local variable (var1)
script1.py:9: self is not first method argument

Option 4 – Using Pyflakes :

• Another worthy option to try – https://github.com/PyCQA/pyflakes

pyflakes yourPythonScript.py

Option 5 – Using “ast” module

• The ast module helps to process trees of the Python abstract syntax grammar – basically ast helps to find out the current grammar appearance.
• More here – https://docs.python.org/3/library/ast.html
• Using CLI

python -c "import ast; ast.parse(open('yourPythonScript.py').read())"

• Check syntax of any block of code

import ast
tree = ast.parse("print ('This is Great')")
ast.dump(tree)
"Module(body=[Expr(value=Call(func=Name(id='print', ctx=Load()), args=[Str(s='This is Great')], keywords=[]))])"

• Alternatively use as a python script

import ast, traceback

g = '<YOUR PYTHON SCRIPT NAME>'
with open(g) as f:
  source = f.read()
valid = True

try:
  ast.parse(source)

except SyntaxError:
  valid = False
  traceback.print_exc()

finally:
  print(valid)
  ast.dump(source)

Hope this write up was helpful.

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8. Errors and Exceptions¶

Until now error messages haven’t been more than mentioned, but if you have tried out the examples you have probably seen some. There are (at least) two distinguishable kinds of errors: syntax errors and exceptions.

8.1. Syntax Errors¶

Syntax errors, also known as parsing errors, are perhaps the most common kind of complaint you get while you are still learning Python:

The parser repeats the offending line and displays a little ‘arrow’ pointing at the earliest point in the line where the error was detected. The error is caused by (or at least detected at) the token preceding the arrow: in the example, the error is detected at the function print() , since a colon ( ‘:’ ) is missing before it. File name and line number are printed so you know where to look in case the input came from a script.

8.2. Exceptions¶

Even if a statement or expression is syntactically correct, it may cause an error when an attempt is made to execute it. Errors detected during execution are called exceptions and are not unconditionally fatal: you will soon learn how to handle them in Python programs. Most exceptions are not handled by programs, however, and result in error messages as shown here:

The last line of the error message indicates what happened. Exceptions come in different types, and the type is printed as part of the message: the types in the example are ZeroDivisionError , NameError and TypeError . The string printed as the exception type is the name of the built-in exception that occurred. This is true for all built-in exceptions, but need not be true for user-defined exceptions (although it is a useful convention). Standard exception names are built-in identifiers (not reserved keywords).

The rest of the line provides detail based on the type of exception and what caused it.

The preceding part of the error message shows the context where the exception occurred, in the form of a stack traceback. In general it contains a stack traceback listing source lines; however, it will not display lines read from standard input.

Built-in Exceptions lists the built-in exceptions and their meanings.

8.3. Handling Exceptions¶

It is possible to write programs that handle selected exceptions. Look at the following example, which asks the user for input until a valid integer has been entered, but allows the user to interrupt the program (using Control — C or whatever the operating system supports); note that a user-generated interruption is signalled by raising the KeyboardInterrupt exception.

The try statement works as follows.

First, the try clause (the statement(s) between the try and except keywords) is executed.

If no exception occurs, the except clause is skipped and execution of the try statement is finished.

If an exception occurs during execution of the try clause, the rest of the clause is skipped. Then, if its type matches the exception named after the except keyword, the except clause is executed, and then execution continues after the try/except block.

If an exception occurs which does not match the exception named in the except clause, it is passed on to outer try statements; if no handler is found, it is an unhandled exception and execution stops with a message as shown above.

A try statement may have more than one except clause, to specify handlers for different exceptions. At most one handler will be executed. Handlers only handle exceptions that occur in the corresponding try clause, not in other handlers of the same try statement. An except clause may name multiple exceptions as a parenthesized tuple, for example:

A class in an except clause is compatible with an exception if it is the same class or a base class thereof (but not the other way around — an except clause listing a derived class is not compatible with a base class). For example, the following code will print B, C, D in that order:

Note that if the except clauses were reversed (with except B first), it would have printed B, B, B — the first matching except clause is triggered.

When an exception occurs, it may have associated values, also known as the exception’s arguments. The presence and types of the arguments depend on the exception type.

The except clause may specify a variable after the exception name. The variable is bound to the exception instance which typically has an args attribute that stores the arguments. For convenience, builtin exception types define __str__() to print all the arguments without explicitly accessing .args .

The exception’s __str__() output is printed as the last part (‘detail’) of the message for unhandled exceptions.

BaseException is the common base class of all exceptions. One of its subclasses, Exception , is the base class of all the non-fatal exceptions. Exceptions which are not subclasses of Exception are not typically handled, because they are used to indicate that the program should terminate. They include SystemExit which is raised by sys.exit() and KeyboardInterrupt which is raised when a user wishes to interrupt the program.

Exception can be used as a wildcard that catches (almost) everything. However, it is good practice to be as specific as possible with the types of exceptions that we intend to handle, and to allow any unexpected exceptions to propagate on.

The most common pattern for handling Exception is to print or log the exception and then re-raise it (allowing a caller to handle the exception as well):

The try … except statement has an optional else clause, which, when present, must follow all except clauses. It is useful for code that must be executed if the try clause does not raise an exception. For example:

The use of the else clause is better than adding additional code to the try clause because it avoids accidentally catching an exception that wasn’t raised by the code being protected by the try … except statement.

Exception handlers do not handle only exceptions that occur immediately in the try clause, but also those that occur inside functions that are called (even indirectly) in the try clause. For example:

8.4. Raising Exceptions¶

The raise statement allows the programmer to force a specified exception to occur. For example:

The sole argument to raise indicates the exception to be raised. This must be either an exception instance or an exception class (a class that derives from BaseException , such as Exception or one of its subclasses). If an exception class is passed, it will be implicitly instantiated by calling its constructor with no arguments:

If you need to determine whether an exception was raised but don’t intend to handle it, a simpler form of the raise statement allows you to re-raise the exception:

8.5. Exception Chaining¶

If an unhandled exception occurs inside an except section, it will have the exception being handled attached to it and included in the error message:

To indicate that an exception is a direct consequence of another, the raise statement allows an optional from clause:

This can be useful when you are transforming exceptions. For example:

It also allows disabling automatic exception chaining using the from None idiom:

For more information about chaining mechanics, see Built-in Exceptions .

8.6. User-defined Exceptions¶

Programs may name their own exceptions by creating a new exception class (see Classes for more about Python classes). Exceptions should typically be derived from the Exception class, either directly or indirectly.

Exception classes can be defined which do anything any other class can do, but are usually kept simple, often only offering a number of attributes that allow information about the error to be extracted by handlers for the exception.

Most exceptions are defined with names that end in “Error”, similar to the naming of the standard exceptions.

Many standard modules define their own exceptions to report errors that may occur in functions they define.

8.7. Defining Clean-up Actions¶

The try statement has another optional clause which is intended to define clean-up actions that must be executed under all circumstances. For example:

If a finally clause is present, the finally clause will execute as the last task before the try statement completes. The finally clause runs whether or not the try statement produces an exception. The following points discuss more complex cases when an exception occurs:

If an exception occurs during execution of the try clause, the exception may be handled by an except clause. If the exception is not handled by an except clause, the exception is re-raised after the finally clause has been executed.

An exception could occur during execution of an except or else clause. Again, the exception is re-raised after the finally clause has been executed.

If the finally clause executes a break , continue or return statement, exceptions are not re-raised.

If the try statement reaches a break , continue or return statement, the finally clause will execute just prior to the break , continue or return statement’s execution.

If a finally clause includes a return statement, the returned value will be the one from the finally clause’s return statement, not the value from the try clause’s return statement.

A more complicated example:

As you can see, the finally clause is executed in any event. The TypeError raised by dividing two strings is not handled by the except clause and therefore re-raised after the finally clause has been executed.

In real world applications, the finally clause is useful for releasing external resources (such as files or network connections), regardless of whether the use of the resource was successful.

8.8. Predefined Clean-up Actions¶

Some objects define standard clean-up actions to be undertaken when the object is no longer needed, regardless of whether or not the operation using the object succeeded or failed. Look at the following example, which tries to open a file and print its contents to the screen.

The problem with this code is that it leaves the file open for an indeterminate amount of time after this part of the code has finished executing. This is not an issue in simple scripts, but can be a problem for larger applications. The with statement allows objects like files to be used in a way that ensures they are always cleaned up promptly and correctly.

After the statement is executed, the file f is always closed, even if a problem was encountered while processing the lines. Objects which, like files, provide predefined clean-up actions will indicate this in their documentation.

There are situations where it is necessary to report several exceptions that have occurred. This is often the case in concurrency frameworks, when several tasks may have failed in parallel, but there are also other use cases where it is desirable to continue execution and collect multiple errors rather than raise the first exception.

The builtin ExceptionGroup wraps a list of exception instances so that they can be raised together. It is an exception itself, so it can be caught like any other exception.

By using except* instead of except , we can selectively handle only the exceptions in the group that match a certain type. In the following example, which shows a nested exception group, each except* clause extracts from the group exceptions of a certain type while letting all other exceptions propagate to other clauses and eventually to be reraised.

Note that the exceptions nested in an exception group must be instances, not types. This is because in practice the exceptions would typically be ones that have already been raised and caught by the program, along the following pattern:

8.10. Enriching Exceptions with Notes¶

When an exception is created in order to be raised, it is usually initialized with information that describes the error that has occurred. There are cases where it is useful to add information after the exception was caught. For this purpose, exceptions have a method add_note(note) that accepts a string and adds it to the exception’s notes list. The standard traceback rendering includes all notes, in the order they were added, after the exception.

For example, when collecting exceptions into an exception group, we may want to add context information for the individual errors. In the following each exception in the group has a note indicating when this error has occurred.

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Python syntax checker

Python code

Python checker allows to check your Python code syntax (Python 3), and find Python errors. This Python code checker tool highlights and goes to line with a syntax error.

To check your code, you must copy and paste, drag and drop a Python file or directly type in the Online Python editor below, and click on «Check Python syntax» button.

You can see the user guide to help you to use this python checker tool.

User guide

How to check the syntax of your Python code:

• First, Drag and drop your Python file or copy / paste your Python text directly into the editor above.
• Finally, you must click on «Check Python syntax» button to start code checking.

It is quick and easy to analyze python code!

Python is a server-side scripting language, but can also be used as a general-purpose programming language.

Python error checker tool allows to find syntax errors (lint). You can test your Python code online directly in your browser.

If a syntax error is detected, then the line in error is highlighted, and it jumps to it to save time (no need to search the line).

It can be useful to make online test to save time (deployment . ).

Note: This tool no longer offers sandbox, it was not good enough.

About Python

Python is an interpreted programming language, it features a dynamic type system and automatic memory management (garbage collector). Python is available for many operating systems.It has a large standard library.

Python formatting is visually uncluttered, and often uses English keywords rather than punctuation. Python uses whitespace indentation instead of curly brackets to delimit blocks.

Python is often used as a programming language in high school and higher education, especially in France (I am French).

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