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A tool to manipulate python code at runtime for logging, profiling, debugging, etc.

Project description

# pyliveupdate PyLiveUpdate is a Python runtime monitoring, profiling, debugging and bugfixing tool under development.

PyLiveUpdate allows developers to profile, troubleshoot and fix production issues for Python applications without restarting the programs.

### Key features (under developing)

  • Profile specific (by name) Python functions call time.

  • Check the function invocation details such as function parameters, return object, local variables and etc.

  • Add logs to specific functions

  • Dynamic patching a function

### Quick start

#### Requirements * [bytecode](https://github.com/vstinner/bytecode)

#### Compatibility * Supports Python 3.6+ on Linux.

#### Install

` pip install pyliveupdate `

### How to use We currently implemented function profiling and are implementing more. Please feel free to let us know if you find other features useful: https://github.com/devopspp/pyliveupdate/issues/2.

#### profile function call time

1. Start pyliveupdate server ` pylu-server --logserver ` 2. In your program (like examples/program1.py) main module add ` from pyliveupdate import * client.UpdateClient().start() ` 3. Run your program (make sure in the correct directory) ` cd examples python program1.py ` 4. Start profile one function on the server side ` instru('__main__.bar') ` or any functions ` instru('**') ` 5. Check output in either your program output or /tmp/instru.log 6. List applied profiling ` listinstru ` 7. Stop a profiling by its id without stop your program ` revert(1) `

### Known Users Welcome to register your company name here: https://github.com/devopspp/pyliveupdate/issues/1

### Credit #### Projects * [pyrasite](https://github.com/lmacken/pyrasite): Inject code into running Python processes.

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