Error Handling

Error handling in the Parallels Python API is done through the use of exceptions that are caught in try blocks and handled in except blocks. All methods in the API throw the prlsdkapi.PrlSDKError exception. The PrlSDKError object itself contains the error message. To obtain the error code, examine the prlsdkapi.PrlSDKError.error_code argument. The error code can be evaluated against standard Parallels API errors, which can be found in the prlsdkapi.prlsdk.errors module. The most common error codes are PRL_ERR_SUCCESS , PRL_ERR_INVALID_ARG , PRL_ERR_OUT_OF_MEMORY . For the complete list of errors, see the prlsdkapi.prlsdk.errors module documentation or the Parallels Python API Reference guide.

The following code sample illustrates the exception handling:

try:

# The call returns a prlsdkapi.Result object on success.

result = server.login(host, user, password, '', 0, 0, security_level).wait()

except prlsdkapi.PrlSDKError, e:

print "Login error: %s" % e

print "Error code: " + str(e.error_code)

raise Halt