===========================
1.0.5 - the crucible branch
===========================

Fixes two Analyzer memory leaks and improves overview memory footprint a bit.

Changes include:

- Issue #21 Memory leak in Analyzer - self.mirage_metrics.append(metric) and
  plt.savefig memory leaks were fixed. Removed unused but appended mirage list.
  Moved trigger_alert to a multiprocessing process when the alert is smtp. This
  is used by smtp alerters so that matplotlib objects are cleared down and the
  alerter cannot create a memory leak in this manner as plt.savefig keeps the
  object in memory until the process terminates.  Seeing as data is being
  surfaced and processed in the alert_smtp context, multiprocessing the alert
  creation and handling prevents any memory leaks in the parent. This fixes
  Issue #21 Memory leak in Analyzer - https://github.com/earthgecko/skyline/issues/21
  internal ref #1558: Memory leak in Analyzer
- In agent del the algorithm test objects to free the memory
- Applied in both Analyzer and Mirage
- Some pyflakes linting done
- Reintroduced the original alert substring matching AFTER wildcard matching, to
  allow more flexibility
- In Analyzer streamlined the Mirage metrics a bit
- Added some settings vaidation in the agents
- Issue #22 - Analyzer also alerting on Mirage metrics now
  This fixes #22 by introducing a mirage.metrics Redis key namespace for any
  Mirage metric.  This acts as a dynamic SKIP_LIST for Analyzer so to speak and
  allows for wildcard and substring matching and prevents Analyzer alerting on
  Mirage metrics.
- Added determine_array_median - readded the method to determine_median of an
  array which was changed to a timeseries from an array in
  https://github.com/earthgecko/skyline/commit/9dcf8ffbf6da0820ec5d2f93d3d7079abed3f5a7
  errorneously as it was assumed to not be being used however it was being used
  by algorithm timings
- Some pyflakes linting done with unused imports and unused variables
- Added validation of settings with validate_settings.py, although this does not
  cover all settings, it tests the critical ones per app that have no except
  handling - in the agent.py
- Some pyflakes linting done with unused imports and unused variables
- Added del of test objects to reduced memory to all agents that test algorithms
- Added validate_settings to webapp
- Added default recipient which acts as a catchall for alert tuples that do not
  have a matching namespace defined in recipients in SMTP_OPTS and
  BOUNDARY_SMTP_OPTS
- Added analyzer_debug to crucible branch, the analyzer_debug app which has a
  number of memory debugging tools and options that can be turned on and off, etc
- Bumped version to 1.0.5