RTI Log Parser is a command-line tool that processes and enhances Connext DDS log messages making it easier to debug applications.
- Show sent and received packets with IP addresses.
- Show events like entities creation and discovery information.
- Detect possible issues and report them as warnings and errors.
- Obfuscate sensitive information by using MD5 and custom salts.
- Show network usage statistics.
You will need python 2.7 or 3.x. It works in any OS that supports python including Linux, Mac OS and Windows.
python rtilogparser logFile
The output is generated in Markdown format which is easy to read in raw format but it also allows to convert into HTML using viewers like Atom or dillinger.
Additional features can be enabled or disabled with the following arguments:
logFile
: log file path. '-' to read from the standard input.-v
: verbosity level. You can control the level adding more 'v'.--output FILE, -o FILE
: write the output into the specified file.--show-ip
: show the IP address instead of an assigned name.--obfuscate
: hide sensitive information like IP addresses.--salt SALT, -s SALT
: salt for obfuscation. It will be random if not set.--timestamp, -t
: show timestamp log field.--show-lines
: print the original and parsed log lines.--only regex
: show only log messages that match the regex.--colors, -c
: apply colors to log messages (e.g.: warnings in yellow).--highlight regex
: show in bold regex matched logs, requires -c.--local-host LOCAL_HOST
: set the local address.--no-network
: do not show the network related logs.--no-inline
: do not show warnigns and errors in network logs.--no-stats
: do not show the network and packet statistics.
By default any application built with RTI Connext DDS will print to the standard output errors from the middleware. To take advantage of this tool we recommend to enable the higher log verbosity and redirect the output into a file. There are several ways to increase the log verbosity:
- QoS XML (like USER_QOS_PROFILES.xml):
<participant_factory_qos>
<logging>
<verbosity>ALL</verbosity>
<category>ALL</category>
<print_format>TIMESTAMPED</print_format>
<!-- Optional. Be careful if this QoS XML file is used by
different applications at the same time since more
than one could try to write the logs into the same file. -->
<output_file>ddslog.txt</output_file>
</logging>
</participant_factory_qos>
- Code:
// c
NDDS_Config_Logger_set_verbosity_by_category(
NDDS_Config_Logger_get_instance(),
NDDS_CONFIG_LOG_CATEGORY_ALL,
NDDS_CONFIG_LOG_VERBOSITY_STATUS_ALL);
// c++
NDDSConfigLogger::get_instance()->set_verbosity_by_category(
NDDS_CONFIG_LOG_CATEGORY_ALL,
NDDS_CONFIG_LOG_VERBOSITY_STATUS_ALL);
// c++03 and c++11
#include <rti/config/Logger.hpp>
rti::config::Logger::instance().verbosity_by_category(
rti::config::LogCategory::ALL_CATEGORIES,
rti::config::Verbosity::STATUS_ALL);
// C#
NDDS.ConfigLogger.get_instance().set_verbosity_by_category(
NDDS.LogCategory.NDDS_CONFIG_LOG_CATEGORY_ALL,
NDDS.LogVerbosity.NDDS_CONFIG_LOG_VERBOSITY_STATUS_ALL);
// Java
Logger.get_instance().set_verbosity_by_category(
LogCategory.NDDS_CONFIG_LOG_CATEGORY_ALL,
LogVerbosity.NDDS_CONFIG_LOG_VERBOSITY_STATUS_ALL);
- Environment variable
NDDS_QOS_PROFILES
. It is possible to specify an inline XML QoS profile inside the variable:
export NDDS_QOS_PROFILES="str://\"<dds><qos_library name=\"myLoggingLib\"><qos_profile name=\"myLoggingProfile\" is_default_participant_factory_profile=\"true\"><participant_factory_qos><logging><verbosity>ALL</verbosity><category>ALL</category><print_format>TIMESTAMPED</print_format></logging></participant_factory_qos></qos_profile></qos_library></dds>\""
It is not necessary to compile the tool since it uses python. Optionally, the source code can be zipped into a single file with create_redist.sh
to simplify the distribution.
There are two methods to add customer log messages in the parsed output. This allows to add custom application messages in the output of the tool.
Any log message starting with # Custom:
is parsed and it will appear in the output.
The tool can be extended to implement custom parsers by following these steps:
- Add the regular expression for the log message. Open src/custom/logs.py and append a new tuple with the following format to the
regex
variable:
regex.append([custom.FUNCTION_NAME_TO_CALL_IF_MATCHED, LOG_REGEX])
- Implement the function that will be called if the regular expression is matched. This function should call methods from the logger file like
log_send
for messages related to sending data. For instance:
def on_accept_data(match, state):
# match is an array with the regular expression matched groups.
# state is a dictionary where you can store and retrieve variables.
seqnum = parse_sn(match[0])
log_process("", "", "Reader accepted DATA (%d)" % seqnum, state, 1)