| Name | dfly JSON |
| Version |
0.2.1
JSON |
| download |
| home_page | None |
| Summary | Lightweight CPython Debugger |
| upload_time | 2024-03-31 23:00:22 |
| maintainer | None |
| docs_url | None |
| author | Gabriele N. Tornetta |
| requires_python | >=3.8 |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<p align="center">
<br/>
<img src="art/logo.png"
alt="Dragonfly logo"
height="256px" />
<br/>
</p>
<h3 align="center">Lightweight CPython Debugger</h3>
<p align="center">
<a href="https://github.com/P403n1x87/dragonfly/actions?workflow=Tests">
<img src="https://github.com/P403n1x87/dragonfly/workflows/Tests/badge.svg"
alt="GitHub Actions: Tests">
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alt="GitHub Actions: Checks">
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<img src="https://codecov.io/gh/P403n1x87/dragonfly/branch/main/graph/badge.svg"
alt="Codecov">
</a>
<br/>
<a href="https://pypi.org/project/dfly/">
<img src="https://img.shields.io/pypi/v/dfly.svg"
alt="PyPI">
</a>
<a href="https://pepy.tech/project/dfly">
<img src="https://static.pepy.tech/personalized-badge/dfly?period=total&units=international_system&left_color=grey&right_color=blue&left_text=downloads"
alt="Downloads" />
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<img src="https://img.shields.io/badge/license-GPLv3-ff69b4.svg"
alt="LICENSE">
</a>
</p>
<p align="center">
<a href="#synopsis"><b>Synopsis</b></a> •
<a href="#installation"><b>Installation</b></a> •
<a href="#usage"><b>Usage</b></a> •
<a href="#compatibility"><b>Compatibility</b></a> •
<a href="#documentation"><b>Documentation</b></a> •
<a href="#contribute"><b>Contribute</b></a> •
<a href="#credits"><b>Credits</b></a>
</p>
<p align="center">
<a href="https://www.buymeacoffee.com/Q9C1Hnm28" target="_blank">
<img src="https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png" alt="Buy Me A Coffee" />
</a>
</p>
# Synopsis
Dragonfly is a lightweight CPython debugger designed with speed in mind.
Contrary to more traditional debuggers, like pdb, Dragonfly does not rely
heavily on tracing, allowing the target application to run at full speed in most
cases. Occasionally, tracing might be required, so that the slowdown would be
similar to that of pdb in the worst case.
# Installation
This package can be installed from PyPI with
~~~ bash
pip install --user dfly --upgrade
~~~
# Usage
To debug a Python script or application, simply prefix the command with `dfly`.
The built-in `breakpoint()` is replaced with Dragonfly's own implementation, so
that you can set breakpoints in your code by simply adding `breakpoint()` where
needed. Alternatively, if you are not using the `dfly` command, you can simply
import `dragonfly.bite` before any calls to `breakpoint` to achieve the same
effect.
Dragonfly is still in an early stage of development, so it is not yet feature
complete. However, it is already usable for the most common debugging tasks,
with some initial support for multi-threading.
If you find this tool useful, please consider starring the repository and/or
becoming a [Sponsor][sponsor] to support the development.
# Compatibility
Dragonfly is tested on Linux and macOS with Python 3.8-3.12.
# Why Dragonfly
The typical CPython debugger relies heavily, or even exclusively on tracing in
their implementation. This technique is very powerful, but it has a few
shortcomings:
- high overhead - tracing is slow, and it can slow down the target application
by a factor of 10 or more.
- limited support for multithreading - supporting multithreading in a
tracing-based debugger is difficult, especially in older versions of Python.
Some of these problems have been addressed in [PEP 669][pep-0669]. But whilst
the cost of monitoring has been lowered, some impact still remains. Besides,
PEP 669 is only available in Python 3.12 and later.
Dragonfly poses itself as a lightweight alternative to the traditional, and the
PEP 669-based debuggers. At its core, Dragonfly uses bytecode transformation to
implement traps. These can be injected where breakpoints are requested, and
control is then passed to the prompt. When the targeted bytecode is already
being executed, Dragonfly turns on tracing to ensure that any breakpoints can
still be hit. In this case, the performance impact can be similar to that of
tracing-based debuggers. However, this should normally be a transient situation,
and the ammortised cost of debugging should be essentially negligible.
To make this clearer, let's look at a simple example. Consider the following
code:
```python
def fibonacci(n):
if n < 2:
return n
return fibonacci(n - 1) + fibonacci(n - 2)
from time import monotonic as time
start = time()
fibonacci(30)
end = time()
print(end - start)
```
When we run this without any debuggers, the reported time is of the order of
0.1 seconds.
```console
$ python3.12 -m tests.fib
0.11031840229406953
```
If we run this with pdb, without any breakpoints, the reported time is of the
order of over 3 seconds:
```console
$ python3.12 -m pdb -m tests.fib
> /tmp/fib.py(1)<module>()
-> def fibonacci(n):
(Pdb) r
3.2781156906858087
--Return--
> /tmp/fib.py(12)<module>()->None
-> print(end - start)
(Pdb)
```
However, if we run it through Dragonfly, again without any breakpoints set, the
reported time is essentially the same as without any debugger:
```console
$ dfly -r python -m fib
0.11001458810642362
```
## Bytecode debugging
Dragonfly can also be used to debug CPython at the bytecode level. When setting
`trace-opcodes` with `set trace-opcodes 1`, every stepping operation will be
performed at the bytecode level. The `disassemble` command can be used to
display the bytecode currently running, along with the values in the stack for
the current frame.
# Contribute
If you want to help with the development, then have a look at the open issues
and have a look at the [contributing guidelines](CONTRIBUTING.md) before you
open a pull request.
You can also contribute to the development by either [becoming a
Patron](https://www.patreon.com/bePatron?u=19221563) on Patreon, by [buying me a
coffee](https://www.buymeacoffee.com/Q9C1Hnm28) on BMC or by chipping in a few
pennies on [PayPal.Me](https://www.paypal.me/gtornetta/1).
<p align="center">
<a href="https://www.buymeacoffee.com/Q9C1Hnm28" target="_blank">
<img src="https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png"
alt="Buy Me A Coffee" />
</a>
</p>
## Credits
Artwork by [Antea a.k.a. Aisling][aisling].
[aisling]: https://linktr.ee/ladyofshalott
[pep-0669]: https://peps.python.org/pep-0669/
[sponsor]: https://www.github.com/sponsors/P403n1x87
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"description": "<p align=\"center\">\n <br/>\n <img src=\"art/logo.png\"\n alt=\"Dragonfly logo\"\n height=\"256px\" />\n <br/>\n</p>\n\n<h3 align=\"center\">Lightweight CPython Debugger</h3>\n\n<p align=\"center\">\n <a href=\"https://github.com/P403n1x87/dragonfly/actions?workflow=Tests\">\n <img src=\"https://github.com/P403n1x87/dragonfly/workflows/Tests/badge.svg\"\n alt=\"GitHub Actions: Tests\">\n </a>\n <a href=\"https://github.com/P403n1x87/dragonfly/actions?workflow=Checks\">\n <img src=\"https://github.com/P403n1x87/dragonfly/workflows/Checks/badge.svg\"\n alt=\"GitHub Actions: Checks\">\n </a> <a href=\"https://codecov.io/gh/P403n1x87/dragonfly\">\n <img src=\"https://codecov.io/gh/P403n1x87/dragonfly/branch/main/graph/badge.svg\"\n alt=\"Codecov\">\n </a>\n <br/>\n <a href=\"https://pypi.org/project/dfly/\">\n <img src=\"https://img.shields.io/pypi/v/dfly.svg\"\n alt=\"PyPI\">\n </a>\n <a href=\"https://pepy.tech/project/dfly\">\n <img src=\"https://static.pepy.tech/personalized-badge/dfly?period=total&units=international_system&left_color=grey&right_color=blue&left_text=downloads\"\n alt=\"Downloads\" />\n <a/>\n <br/>\n <a href=\"https://github.com/P403n1x87/dragonfly/blob/main/LICENSE.md\">\n <img src=\"https://img.shields.io/badge/license-GPLv3-ff69b4.svg\"\n alt=\"LICENSE\">\n </a>\n</p>\n\n<p align=\"center\">\n <a href=\"#synopsis\"><b>Synopsis</b></a> •\n <a href=\"#installation\"><b>Installation</b></a> •\n <a href=\"#usage\"><b>Usage</b></a> •\n <a href=\"#compatibility\"><b>Compatibility</b></a> •\n <a href=\"#documentation\"><b>Documentation</b></a> •\n <a href=\"#contribute\"><b>Contribute</b></a> •\n <a href=\"#credits\"><b>Credits</b></a>\n</p>\n\n<p align=\"center\">\n <a href=\"https://www.buymeacoffee.com/Q9C1Hnm28\" target=\"_blank\">\n <img src=\"https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png\" alt=\"Buy Me A Coffee\" />\n </a>\n</p>\n\n\n# Synopsis\n\nDragonfly is a lightweight CPython debugger designed with speed in mind.\nContrary to more traditional debuggers, like pdb, Dragonfly does not rely\nheavily on tracing, allowing the target application to run at full speed in most\ncases. Occasionally, tracing might be required, so that the slowdown would be\nsimilar to that of pdb in the worst case.\n\n\n# Installation\n\nThis package can be installed from PyPI with\n\n~~~ bash\npip install --user dfly --upgrade\n~~~\n\n\n# Usage\n\nTo debug a Python script or application, simply prefix the command with `dfly`.\nThe built-in `breakpoint()` is replaced with Dragonfly's own implementation, so\nthat you can set breakpoints in your code by simply adding `breakpoint()` where\nneeded. Alternatively, if you are not using the `dfly` command, you can simply\nimport `dragonfly.bite` before any calls to `breakpoint` to achieve the same\neffect.\n\nDragonfly is still in an early stage of development, so it is not yet feature\ncomplete. However, it is already usable for the most common debugging tasks,\nwith some initial support for multi-threading.\n\nIf you find this tool useful, please consider starring the repository and/or\nbecoming a [Sponsor][sponsor] to support the development.\n\n\n# Compatibility\n\nDragonfly is tested on Linux and macOS with Python 3.8-3.12.\n\n\n# Why Dragonfly\n\nThe typical CPython debugger relies heavily, or even exclusively on tracing in\ntheir implementation. This technique is very powerful, but it has a few\nshortcomings:\n\n- high overhead - tracing is slow, and it can slow down the target application\n by a factor of 10 or more.\n\n- limited support for multithreading - supporting multithreading in a\n tracing-based debugger is difficult, especially in older versions of Python.\n\nSome of these problems have been addressed in [PEP 669][pep-0669]. But whilst\nthe cost of monitoring has been lowered, some impact still remains. Besides,\nPEP 669 is only available in Python 3.12 and later.\n\nDragonfly poses itself as a lightweight alternative to the traditional, and the\nPEP 669-based debuggers. At its core, Dragonfly uses bytecode transformation to\nimplement traps. These can be injected where breakpoints are requested, and\ncontrol is then passed to the prompt. When the targeted bytecode is already\nbeing executed, Dragonfly turns on tracing to ensure that any breakpoints can\nstill be hit. In this case, the performance impact can be similar to that of\ntracing-based debuggers. However, this should normally be a transient situation,\nand the ammortised cost of debugging should be essentially negligible.\n\nTo make this clearer, let's look at a simple example. Consider the following\ncode:\n\n```python\ndef fibonacci(n):\n if n < 2:\n return n\n return fibonacci(n - 1) + fibonacci(n - 2)\n\n\nfrom time import monotonic as time\n\nstart = time()\nfibonacci(30)\nend = time()\nprint(end - start)\n```\n\nWhen we run this without any debuggers, the reported time is of the order of\n0.1 seconds.\n\n```console\n$ python3.12 -m tests.fib\n0.11031840229406953\n```\n\nIf we run this with pdb, without any breakpoints, the reported time is of the\norder of over 3 seconds:\n\n```console\n$ python3.12 -m pdb -m tests.fib\n> /tmp/fib.py(1)<module>()\n-> def fibonacci(n):\n(Pdb) r\n3.2781156906858087\n--Return--\n> /tmp/fib.py(12)<module>()->None\n-> print(end - start)\n(Pdb) \n```\n\nHowever, if we run it through Dragonfly, again without any breakpoints set, the\nreported time is essentially the same as without any debugger:\n\n```console\n$ dfly -r python -m fib \n0.11001458810642362\n```\n\n## Bytecode debugging\n\nDragonfly can also be used to debug CPython at the bytecode level. 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Aisling][aisling].\n\n\n[aisling]: https://linktr.ee/ladyofshalott\n[pep-0669]: https://peps.python.org/pep-0669/\n[sponsor]: https://www.github.com/sponsors/P403n1x87\n",
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