For current (py3EWS) and last (py3EWSepi-legacy) version.

The newly imported AdvisoryBuilder can be run separately, see
that project for more details.
Updated conda environment accordingly.

There is a fudge to iterate over diseases, which should be improved.

This configuration works with EWS-EpiModel git commit 631e3520. This can handle multiple diseases but only one region. Output directories are <job-directory>/<region>/<disease>/<output>

which also includes development to handle input from kobotoolbox survey forms.
And also points to the generalised wheat-source-generation directory.

Also, now:
* using python to incorporate the manual survey removals and additions.
* Attempting to grab a copy of the cluster calcs processed surveydata file.

For now, one set for production, called 'live', and a second for development 'ewsdev'. Advise any clone of the repo creates its own set of these config files. This resolves the issue of having local uncommitted modifications to config files.

- dedicated run functions,
- work folder for each run,
- hadling multiple post processes so not just NAME data can be use as an input,
- general tidy up the code.

A basic script that checks the ARRCC media scraper web tool for latest
entries and provides rough formatting for input to NAME source calcs.
The idea is to email this to a list of maintainers (me, @tm689, @rs481)
regularly (once a week). Because the system isn't smart enough to filter
out any irrelevant news reports (e.g. general early season advice
without a specific rust sighting), human intervention is required to
filter and append to the survey data. The media scraper checker is set
as a cron task to run every Monday at midday.

Back run handling. If env.suit. results are available in a _bak folder, copy results from the _bak folder and skip env.suit. calc.