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An object-oriented python debugger for nonlinear tracing

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README.rst

otrace: An object-oriented python debugger for nonlinear tracing

NOTE: This README file describes the development version of otrace on GitHub. For a description of the released version, see the README file included with the distribution, or the project website.

1   Introduction

otrace is an object-oriented debugger for nonlinear tracing of asynchronous or multithreaded interactive python programs. It addresses some of the limitations of sequential debugging techniques which do not work well with server programs, where multiple requests are handled in parallel. For example, instrumenting web servers with print/logging statements can often result in voluminous log output with interleaved streams of messages.

otrace takes a different approach to debugging that relies less on sequential operations. Its features including taking "snapshots" of variables for tracing, "tagging" objects for tracking across different method invocations, and modifying live code ("monkey patching") to insert print statements etc.

otrace maps all the objects in the running program, as well as the "snapshot" objects, to a virtual filesystem mounted under /osh. It provides a shell-like interface, oshell, with commands like cd, ls etc. that can be used to browse classes, methods, and instance variables in the virtual filesystem. Tab completion and simple wildcarding are supported.

otrace may be used as:
  • a tracing tool for debugging web servers and interactive programs
  • a console or dashboard for monitoring production servers
  • a teaching tool for exploring the innards of a program
  • a code patching tool for unit testing

otrace is best suited for use with "long-running" programs like GUI applications or servers that interact with users. Typically, these programs have an event loop that runs until the program is shutdown. otrace runs in its own thread, and enables debugging of the running program.

otrace takes control of the terminal, and would not work very well with programs that read user input directly from the terminal (or standard input). However, otrace has a browser-based graphical front-end, GraphTerm, that can be used with programs that do read from the terminal.

otrace does not consume any resources until some tracing action is initiated. So it can be included in production code without any performance penalty. It also works well with detached server processes (daemons) via the GNU screen terminal emulator, or using the GraphTerm front-tend.

2   Installation

If you wish to install otrace without the sample programs, the easy_install otrace command should be sufficient (provided the setuptools module is installed).

The latest released version of otrace, including sample programs, may be downloaded from the Python Package Index The untarred/unzipped archive should contain the following files (and some more):

hello_trace.py ordereddict.py otrace.py README.rst setup.py ...

All the code for the otrace module is contained in a single file, otrace.py. (For python 2.6 or earlier, you will also need ordereddict.py.) To use otrace without installing it, just ensure that these files are present in the module load path. If you wish to install otrace, use:

python setup.py install

The development version of otrace may be downloaded from Github.

3   Support

4   Using otrace from the command line

If you have a program example.py whose execution you wish to trace, use the otrace command (or the program otrace.py, if you have not installed otrace):

otrace example.py

You will see the otrace console. To execute a function main() in example.py, type the following command:

run main

To execute the function test(arg=[]) that accepts a single argument that is a list of strings, type:

run test arg1 arg2

You can also invoke this function directly from the command line as follows:

otrace -f test example.py arg1 arg2

In this case, the program will exit when the function test returns. (At this time, only functions that accept no arguments, or a single optional argument that is a list of strings, can be invoked directly from the command line or using the run command.)

5   Using otrace from within a program

Although command line use of otrace may be sufficient for simple cases, you may wish to include otrace within your program for more complex situations. In a program with an event loop, otrace would be typically included as follows:

import otrace
# Start otrace (in its own thread)
oshell = otrace.set_trace(globals(), new_thread=True)
try:
    # Run main program event loop ...
except KeyboardInterrupt:
    # Clean shutdown of otrace (to avoid hung threads)
    oshell.shutdown()

Similar to pdb, otrace can also be invoked "as needed" within a program as follows:

import otrace
otrace.set_trace(globals())

In this case, otrace will run in the calling thread, and the calling program will resume only after the quit command is typed in the otrace console.

For interactively running functions in a program, you would include otrace as follows:

import otrace
otrace.set_trace(globals(), wait_to_run=true)

In this case, otrace will run in a separate thread, but will wait for the run command to invoke a function in the main thread. (A new run command can be issued only after the function returns.)

Usage notes:

  • If you run in oshell in its own daemon thread as shown above, use the Control-C sequence to abort the main thread, and call shutdown from the main thread to cleanup.

  • Install the python readline module (easy_install readline) to enable TAB command completion.

  • To start a detached server (daemon) process, use the command:

    screen -d -m -S <screen_name> <executable> <argument1> ...

    To attach a terminal to this process, use:

    screen -r <screen_name>

  • By default, otrace logs to the logging module. Subclass TraceCallback, overriding the methods callback and returnback to implement your own logging (see DefaultCallback for a simple example)

6   Implementation

otrace uses a Virtual Directory Shell Interface which maps all the objects in a a running python program to a virtual filesystem mounted in the directory /osh (sort of like the unix /proc filesystem, if you are familiar with it). Each module, class, method, function, and variable in the global namespace is mapped to a virtual file within this directory. For example, a class TestClass in the globals() dictionary can be accessed as:

/osh/globals/TestClass

and a method test_method can be accessed as:

/osh/globals/TestClass/test_method

and so on.

otrace provides a unix shell-like interface, oshell, with commands such as cd, ls, view, and edit that can be used navigate, view, and edit the virtual files. Editing a function or method "monkey patches" it, allowing the insertion of print statements etc. in the running program.

The trace command allows dynamic tracing of function or method invocations, return values, and exceptions. This is accomplished by dynamically decorating (or wrapping) the function to be traced. When a trace condition is satisfied, the function-wrapper saves context information, such as arguments and return values, in a newly created virtual directory in:

/osh/recent/*

These trace context directories can be navigated just like /osh/globals/*. (If there are too many trace contexts, the oldest ones are deleted, unless they have been explicitly saved.)

oshell allows standard unix shell commands to be interspersed with oshell-specific commands. The path of the "current working directory" determines which of the these two types of commands will be executed. If the current working directory is not in /osh/*, the command is treated as a standard unix shell command (except for cd, which is always handled by oshell.)

7   Commands

oshell supports the following commands ([..] denotes optional parameters; | denotes alternatives):

alias name cmd <arg\*> <arg\1>... # Define alias for command
cd [pathname]             # change directory to "pathname", which may be omitted, "..", or "/" or a path
cdls [pathname]           # cd to "pathname" and list "files" (cd+ls)
del [trace_id1..]         # Delete trace context
dn                        # Command alias to move one level down in stack frames in a trace context (to a newer frame)
edit [-f] (filename|class[.method]) [< readfile]  # Edit/patch file/method/function
exec python_code          # Execute python code (also !<python_code>)
help [command|*]          # Display help information
lock                      # Lock terminal until password is entered
ls [-acflmtv] [-(.|..|.baseclass)] [pathname1|*]   # List pathname values (or all pathnames in current "directory")
pr python_expression      # Print value of expression (DEFAULT COMMAND)
pwd                       # Print current working "directory"
quit                      # Quit shell
run function [arg1 ...]   # Run function in main thread with optional string list argument
repeat command            # Repeat command till new input is received
resume [trace_id1..]      # Resume from breakpoint
rm [-r] [pathname1..]     # Delete entities corresponding to pathnames (if supported)
save [trace_id1..]        # Save current or specified trace context
set [parameter [value]]   # Set (or display) parameter
source filename           # Read input lines from file
tag [(object|.) [tag_str]]    # Tag object for tracing
trace [-a (break|ipdb|pdb|hold|tag)] [-c call|return|all|tag|comma_sep_arg_match_conditions] [-n +/-count] ([class.][method]|db_key|*)   # Enable tracing for class/method/key on matching condition
unpatch class[.method]|* [> savefile]  # Unpatch method (and save patch to file)
unpickle filename [field=value]        # Read pickled trace contexts from file
untag [object|.]          # untag object
untrace ([class.][method]|*|all)  # Disable tracing for class/method
up                        # Command alias to move one level up in stack frames in a trace context (to an older frame)
view [-d] [-i] [class/method/file]  # Display source/doc for objects/traces/files

The default command is pr, which evaluates an expression. So you can simply type a python variable to print out its value. You can also insert otrace.traceassert(<condition>,label=..,action=..) to trace assertions.

8   Python 3

otrace.py and the demo program hello_trace.py work with Python 3, after porting using the 2to3 tool. Further testing remains to be done.

9   Caveats

  • Reliability: This software has not been subject to extensive testing. Use at your own risk.

  • Thread safety: In principle, otrace should thread-safe, but more testing is needed to confirm this in practice.

  • Memory leaks: The trace contexts saved by otrace could potentially lead to increased memory usage. Again, only experience will tell.

  • Platforms: otrace is pure-python, but with some OS-specific calls for file, shell, and terminal-related operations. It has been tested only on Linux and Mac OS X so far, although the demo program works with the Windows console as well.

  • Current limitations:
    • Decorated methods cannot be patched.
    • TAB command completion is a work in progress.
    • Spaces and other special characters in command arguments need to be handled better.

10   Credits

otrace was developed as part of the Mindmeldr project, which is aimed at improving classroom interaction.

otrace was inspired by the following:
  • the tracing module echo.py written by Thomas Guest <tag@wordaligned.org>. This nifty little program uses decorators to trace function calls.
  • the python dir() function, which treats objects as directories. If objects are directories, then shouldn't we be able to inspect them using the familiar cd and ls unix shell commands?
  • the unix proc filesystem, which cleverly maps non-file data to a filesystem interface mounted at /proc
  • the movie Being John Malkovich (think of /osh as the portal to the "mind" of a running program)

11   License

otrace is distributed as open source under the BSD-license.

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