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Brett Smith
historical: Beancount can handle commas in amounts.

And having it looks nicer, is more consistent with our historical
books, is less code for me, and is no more trouble for the user.
oxrlib
======

Introduction
------------

oxrlib provides a Python library and CLI tool to query the `Open Exchange Rates API <https://openexchangerates.org/>`_.  It emphasizes support for rich data types throughout, and supports caching API results to the filesystem.

It currently only supports OXR's "historical" API.

Getting started with the CLI tool
---------------------------------

oxrlib includes an ``oxrquery`` tool to access the OXR API directly from the command line.  By default, it reads your OXR credentials and other common configuration from ``~/.config/oxrlib.ini``.  Copy ``oxrlib_example.ini`` from the source to ``~/.config/oxrlib.ini``, then edit that file following the instructions in the comments.

Run ``oxrquery --help`` for instructions to use the tool.

Getting started with the library
--------------------------------

Here's an example of using the Python library, complete with caching results::

  from oxrlib import cache, loaders, rate

  filename_format = '{date}_{base}_rates.json'
  cache_writer = cache.CacheWriter(DIR_PATH, historical=filename_format)
  loader = loaders.LoaderChain()
  loader.add_loader(loaders.FileCache(DIR_PATH, historical=filename_format))
  loader.add_loader(loaders.OXRAPIRequest(APP_ID_STRING))
  with loader.historical(DATE, BASE_CODE_STRING) as json_response:
      hist_rate = rate.Rate.from_json_file(json_response)
  if loader.should_cache():
      cache_writer.save_rate(hist_rate)
  # Rates are available from the hist_rate.rates dict.

Running tests
-------------

Run ``./setup.py test`` from your checkout directory.