TraceX Parser

This python package parses ThreadX trace buffers into both human and machine-readable formats. Don't know where to begin? Check out the quick-start documentation. More documentation about ThreadX trace buffers can be found here.

Install

Via pip

$ python3 -m pip install tracex-parser

Via snap

[!NOTE] This installation method only allows you to use the command line file parser, not the Python library

$ sudo snap install tracex-parser
$ sudo snap alias tracex-parser.parse-trx parse-trx  # Register the `parse-trx` command, otherwise you will need to use tracex-parser.parse-trx
$ sudo snap connect tracex-parser:removable-media  # Required to allow reading of files outside of /home

[!NOTE] Due to how snap packages work, there are restrictions on which files snaps are allowed to access. Currently only /home, /media, /run/media, /mnt are able to be read. For example attempting to read a file in /tmp will throw a No such file or directory error

Example trace buffers

In the repository source there are a couple example TraceX traces which can be used to verify that things are working correctly.

As a python module

documentation

>>> from tracex_parser.file_parser import parse_tracex_buffer
>>> events, obj_map = parse_tracex_buffer('./demo_threadx.trx')
>>> events
[4265846278:thread 7 threadResume(thread_ptr=thread 6,prev_state=0xd,stack_ptr=0x12980,next_thread=), 4265846441:thread 7 mtxPut(obj_id=mutex 0,owning_thread=0x6adc,own_cnt=0x1,stack_ptr=0x129a0), 4265846566:thread 7 mtxPut(obj_id=mutex 0,owning_thread=0x6adc,own_cnt=0x2,stack_ptr=0x129a0)]
>>> obj_map[0xeea4]
{'obj_reg_entry_obj_available **': '0x0', 'obj_reg_entry_obj_type **': '0x1', 'thread_reg_entry_obj_ptr': '0xeea4', 'obj_reg_entry_obj_parameter_1': '0xef4c', 'obj_reg_entry_obj_parameter_2': '0x3fc', 'thread_reg_entry_obj_name': b'System Timer Thread'}

As a command line utility

documentation The file_parser module can also be run as a script, which will provide simple statistics on the trace as well as dumping all the events in the trace. It can be run by either:

• Running the module manually: python3 -m tracex_parser.file_parser
• Using the newly installed command: parse-trx

Both run methods are identical.

$ parse-trx -vvv ./demo_threadx.trx
Parsing ./demo_threadx.trx
total events: 974
object registry size: 16
delta ticks: 40402
Event Histogram:
queueSend     493
queueReceive  428
threadResume  19
threadSuspend 16
mtxPut        4
isrEnter      3
isrExit       3
semPut        2
semGet        2
mtxGet        2
threadSleep   2
All events:
2100:thread 2 queueReceive(queue_ptr=0x6b84,dst_ptr=0x115a0,timeout=WaitForever,enqueued=0x13)
1939:thread 2 queueReceive(queue_ptr=0x6b84,dst_ptr=0x115a0,timeout=WaitForever,enqueued=0x12)
1778:thread 2 queueReceive(queue_ptr=0x6b84,dst_ptr=0x115a0,timeout=WaitForever,enqueued=0x11)
1617:thread 2 queueReceive(queue_ptr=0x6b84,dst_ptr=0x115a0,timeout=WaitForever,enqueued=0x10)
1456:thread 2 queueReceive(queue_ptr=0x6b84,dst_ptr=0x115a0,timeout=WaitForever,enqueued=0xf)
...