semvec/pypi-packages huggingface dataset:
lp-show-my-bugs 0.0.4
UNKNOWN
License: BSD

Launchpad show my bugs
======================

Console utility that displays your current bug list from Launchpad.net

How to use
==========

# Installation

Using pip

```shell
$ pip install lp-show-my-bugs
```
Using pip + github
```shell
$ pip install git+https://github.com/niedbalski/lp-show-my-bugs
```

# Usage

## Using the ClI

Basic usage:

```bash
$ lp-show-my-bugs --author="niedbalski" --project="any-project" --sort_by="date_created:asc"
```

Limiting results:
```bash
$ lp-show-my-bugs --author="niedbalski" --project="any-project" --sort_by="date_created:asc --limit=10"
```

The output will looks like:

![Output](https://raw.github.com/niedbalski/lp-show-my-bugs/master/images/output.png)


## Programmatically

```python
from lp_show_my_bugs import LaunchpadShowMyBugs

#specify the author
lp = LaunchpadShowMyBugs('niedbalski')

#add filters, (multiple supported)
lp.add_filter('bug_target_name', 'any-project')

#sort by date_created in descending order
lp.sort_by('date_created', 'desc')

#fetch the assigned bugs
bugs = lp.fetch()

for bug in bugs:
    print bug.date_created, bug.title
```
=======
lp-show-my-bugs
===============

Console client for displaying your Launchpad.net bugs
eadred 0.3
Django app for generating sample data
License: BSD

========
 README
========

eadred is a Django-app for generating sample data.

Why? Here are the use cases we're solving:

**Use Case 1: Contributors**

    Mildred wants to contribute to your Django project, but your
    Django project is non-trivial and out of the box it's not very
    usable because it needs data.

    However, you're using eadred, so in your setup documentation, you
    have a one-liner that generates all the sample data Mildred needs
    to start hacking immediately.

**Use Case 2: Bootstrapping**

    Willhelm wants to set up an instance of your Django project. It
    requires certain non-trivial initial data to be in place before it
    works.

    However, you're using eadred, so in your setup documentation, you
    have a one-liner that generates all the initial data needed.

**Use Case 3: Large amounts of random data**

    Phylida is a hacker on your Django project and trying to fix bugs
    with a section of code that requires large amounts of data---say
    it's one of those things that graphs data sets or something.

    You're using eadred, so it's a one-liner to generate a large set
    of initial data.


"Wait, use cases 1 and 2 are easily solved with Django and fixtures!"

I think fixtures are good for specific use cases where your models
aren't changing and you have some contributor who likes entering in
data to build the initial fixtures. Having said that, I don't use
fixtures.

eadred allows you to programmatically generate the data using model
makers, factories, fixtures, random seeds---whatever your needs are.

Additionally, eadred provides library functions to make generating
data easier.


Project details
===============

Code:
    http://github.com/willkg/django-eadred

Documentation:
    http://django-eadred.rtfd.org/

Issue tracker:
    https://github.com/willkg/django-eadred/issues

License:
    BSD 3-clause; see LICENSE file
django-dbdump 1.1
Database backup management command.
License: BSD

-------------
django-dbdump
-------------

This tiny Django application provides a "dbdump" management command that wraps
mysqldump or pg_dump and allows you to create SQL dumps of your configured
databases.

To use, add 'dbdump' to your INSTALLED_APPS.

Usage:

- `$ manage.py dbdump`
- `$ manage.py dbdump --db-name=mydb --debug --compress=gzip`

You can dump only table schema without data or exclude tables completely
using DB_DUMP_EMPTY_TABLES and DB_DUMP_EXCLUDED_TABLES settings inside
your settings.DATABASES definition. For example::

    DATABASES = {
        'default': {
            'ENGINE': 'mysql',
            ...
            'DB_DUMP_EMPTY_TABLES': ['table1', 'table2'],
        }
    }

will not include contents of table1 and table2 in your output.

See http://github.com/vitaliyf/django-dbdump for more information.