https://github.com/zaneb/heat-convergence-prototype

A Prototype for Heat's new "convergence" architecture
https://github.com/zaneb/heat-convergence-prototype

Last synced: 30 days ago
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A Prototype for Heat's new "convergence" architecture

• Host: GitHub
• URL: https://github.com/zaneb/heat-convergence-prototype
• Owner: zaneb
• License: apache-2.0
• Created: 2014-10-22T13:14:19.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2018-09-05T20:41:19.000Z (about 6 years ago)
• Last Synced: 2024-08-01T20:46:13.770Z (3 months ago)
• Language: Python
• Size: 133 KB
• Stars: 5
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Heat Convergence Prototype

==========================

This is a simple prototype to help prove the concepts behind the proposed new

"Convergence" architecture for OpenStack Heat.

It uses a trivial in-memory datastore and an event loop within a single process

to simulate multiple processes with asynchronous message passing. Note that it

**cannot** simulate race conditions or other concurrency errors, since only one

event is ever processed at a time.

Debugging

---------

Run the code by typing `python -m converge`. Note that when run directly like

this, the test assertions in the scenarios are ignored (a warning is logged).

This mode is useful for debugging and becoming familiar with the code because

it displays all of the log messages that allow you to follow the execution.

```

Usage: /usr/bin/python -m converge [options] SCENARIOS

 An OpenStack Heat convergence algorithm simulator.

Options:

  -h, --help            show this help message and exit

  -d DIR, --scenario-directory=DIR

                        Directory to read scenarios from

  -p, --pdb             Enable debugging with pdb

```

To run a specific subset of the test scenarios, append their names to the

command line (e.g. `python -m converge basic_create`).

To automatically set debugger breakpoints at the beginning of each asynchronous

task, pass the `--pdb` option on the command line.

Verification

------------

The unit tests can also be used to not only run the scenarios but verify the

correctness of the results. To do this, run:

```

python -m unittest test_converge

```

You can also use some other testrunners, including and maybe not even limited

to Nose:

```

nosetests test_converge

```