pycaching 3.5.2

Geocaching.com site crawler. Provides tools for searching, fetching caches and geocoding.

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pycaching - Geocaching for Python
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Complete documentation can be found at `Read the Docs <http://pycaching.readthedocs.org/>`_.

.. _features:

Features
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- **login** to Geocaching.com
- **search** caches

- normal search (unlimited number of caches from any point)
- quick search (all caches inside some area)

- **get cache** and its details

- normal loading (can load all details)
- quick loading (can load just basic info but very quickly)
- load logbook for given cache

- **get trackable** details by tracking code
- **post log** for a cache or a trackable
- **geocode** given location

.. _installation:

Installation
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Stable version - using pip:

.. code-block:: bash

pip install pycaching

Dev version - manually from GIT:

.. code-block:: bash

git clone https://github.com/tomasbedrich/pycaching.git
cd pycaching
pip install .

Pycaching has following requirements:

.. code::

Python>=3.4
requests>=2.8
beautifulsoup4>=4.4
geopy>=1.11


Examples
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Login
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Simly call :meth:`.login` method and it will do all things for you.

.. code-block:: python

import pycaching
geocaching = pycaching.login("user", "pass")

If you won't provide an username or password, pycaching will try to load
``.gc_credentials`` file from current directory or home folder. It will try to
parse it as JSON and use the keys ``username`` and ``password`` from that file
as login credentials.

.. code-block:: json

# sample .gc_credentials JSON file
{ "username": "myusername", "password": "mypassword" }


.. code-block:: python

import pycaching
geocaching = pycaching.login() # assume the .gc_credentials file is presented

Load a cache details
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.. code-block:: python

cache = geocaching.get_cache("GC1PAR2")
print(cache.name) # cache.load() is automatically called
print(cache.location) # stored in cache, printed immediately

This uses lazy loading, so the :class:`.Cache` object is created immediately and the
page is loaded when needed (accessing the name).

You can use different method of loading cache details. It will be much faster,
but it will load less details:

.. code-block:: python

cache = geocaching.get_cache("GC1PAR2")
cache.load_quick() # takes a small while
print(cache.name) # stored in cache, printed immediately
print(cache.location) # NOT stored in cache, will trigger full loading

You can also load a logbook for cache:

.. code-block:: python

for log in cache.load_logbook(limit=200):
print(log.visited, log.type, log.author, log.text)

Or its trackables:

.. code-block:: python

for trackable in cache.load_trackables(limit=5):
print(trackable.name)

Post a log to cache
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.. code-block:: python

geocaching.post_log("GC1PAR2", "Found cache in the rain. Nice place, TFTC!")

It is also possible to call post_log on :class:`.Cache` object, but you would have
to create :class:`.Log` object manually and pass it to this method.

Search for all traditional caches around
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.. code-block:: python

from pycaching import Point
from pycaching.cache import Type

point = Point(56.25263, 15.26738)

for cache in geocaching.search(point, limit=50):
if cache.type == Type.traditional:
print(cache.name)

Notice the ``limit`` in search function. It is because :meth:`.Geocaching.search`
returns a generator object, which would fetch the caches forever in case
of simple loop.

Geocode adress and search around
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.. code-block:: python

point = geocaching.geocode("Prague")

for cache in geocaching.search(point, limit=10):
print(cache.name)

Find caches with their approximate locations in some area
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.. code-block:: python

from pycaching import Point, Rectangle

rect = Rectangle(Point(60.15, 24.95), Point(60.17, 25.00))

for cache in geocaching.search_quick(rect, strict=True):
print(cache.name, cache.location.precision)


Load a trackable details
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.. code-block:: python

trackable = geocaching.get_trackable("TB3ZGT2")
print(trackable.name, trackable.goal, trackable.description, trackable.location)


Post a log for trackable
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.. code-block:: python

from pycaching.log import Log, Type as LogType
import datetime

log = Log(type=LogType.discovered_it, text="Nice TB!", visited=datetime.date.today())
tracking_code = "ABCDEF"
trackable.post_log(log, tracking_code)

.. _appendix:

Appendix
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Legal notice
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Be sure to read `Geocaching.com's terms of
use <http://www.geocaching.com/about/termsofuse.aspx>`__. By using this
piece of software you break them and your Geocaching account may be
suspended or *even deleted*. To prevent this, I recommend you to load
the data you really need, nothing more. This software is provided "as
is" and I am not responsible for any damage possibly caused by it.

Inspiration
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Original version was inspired by these packages:

- `Geocache Grabber <http://www.cs.auckland.ac.nz/~fuad/geo.py>`__ (by Fuad Tabba)
- `geocaching-py <https://github.com/abbot/geocaching-py>`__ (by Lev Shamardin)

Although the new version was massively rewritten, I'd like to thank to their authors.

Authors
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Authors of this project are `all contributors <https://github.com/tomasbedrich/pycaching/graphs/contributors>`__.
Maintainer is `Tomáš Bedřich <http://tbedrich.cz>`__.

.. _build_status:

|Build Status| |Coverage Status| |PyPI monthly downloads|

.. |Build Status| image:: http://img.shields.io/travis/tomasbedrich/pycaching/master.svg
:target: https://travis-ci.org/tomasbedrich/pycaching

.. |Coverage Status| image:: https://img.shields.io/coveralls/tomasbedrich/pycaching.svg
:target: https://coveralls.io/r/tomasbedrich/pycaching

.. |PyPI monthly downloads| image:: http://img.shields.io/pypi/dm/pycaching.svg
:target: https://pypi.python.org/pypi/pycaching