Happi

Enhancements

* `Client` now has a method `load_device` for searching the database for a `Container` and then loading the corresponding object based on `device_class`, `args` and `kwargs`. This is a shortcut to combine two previously existing features `Client.find_device` and `happi.loader.from_container`

* `Client.from_config` will create a `Client` object from a provided configuration file. You can either pass this file in explicitly, specify it via the the environment variable `$HAPPI_CFG`, or it will be searched for in `~config` or wherever you specify your `$XDG_CONFIG_HOME environment variable

* Additional keywords were added to the base `Device` container; `lightpath`, `documentation` and `embedded_screen`, `detailed_screen` and `engineering_screen`

* There is now a base container for a `Motor` object.

Deprecations
* `screen` is longer a supported key. This was too generic and the three keys detailed above allow the user more specificity.

Fixes
* The `JSONBackend` no longer relies on `fcntl` a Linux only module of the Python standard library.

Maintenance
* In `from_container`, the provided container is compared against the cached version of the device to find discrepancies. This means that modified container objects will always load a new Device. (62)
* The QSBackend uses newer methods available in the psdm_qs_cli to determine the proposal from the experiment name. This is more robust against exotic experiment naming schemas than prior implementations (68)

Enhancements
* The `QSBackend` guesses which a type of motor based on the `prefix`. Currently this supports `Newport`, `IMS`, and `PMC100` motors. While there is not an explicit dependency, this will require `pcdsdevices >= 0.5.0` to load properly (51)

Bug Fixes
* Templating is more robust when dealing with types. This includes a fatal case where the default for an `EntryInfo` is `None` (50)
* A proper error message is returned if an entry in the table does not have the requisite information to load (53 )

Ownership of this repository has been transferred to https://github.com/pcdshub

Enhancements
Happi now has a cache so the repeated requests to load the same device do not spawn multiple objects.

Maintenance
* Cleaner logging messages
* `QSBackend` was expanded to accommodate different keyword arguments associated with different authentication methods.

Enhancements
* `happi` now handles loading devices with the built-in `EntryInfo` -> args, kwargs and device_class. Simply enter the proper information in these fields, either directly inputting information or using `jinja2` templating. The functions `from_container` and `load_devices` will then handle the necessary imports and initialize devices for you
* Select which backend you want to use with the environment variable `$HAPPI_BACKEND`
* Backend to read from the PCDS Questionnaire
* All containers work out of the box with `pcdsdevices >= 0.3.0`
API
* All backends are stored in the `backends` directory.
* The default plugin is now considered to be `JSONBackend`
* The function formerly called `load_device` is now `find_device`.

Build
* `jinja2` is now a dependency
* `psdm_qs_cli` is now an optional dependency if you want to use the Questionnaire backend
* `pymongo` is now an optional dependency if you do not want to use the MongoDB backend
* Only tested against Python `3.5.x` and `3.6.x`
* Sent to the `pcds-tag` and `pcds-dev` Anaconda channels instead of the `skywalker` channels

Enhancements
* `happi` now supports multiple backends. The required database operations are templated in the `happi.backends.Backend` The existing mongoDB support was kept as the default, but the an additional JSON backend was added. The choice of database type can be entered as an argument to the `happi.Client`
* Conda builds of `happi` are now available at `skywalker-tag` and `skywalker-dev`

Bug Fixes
* Devices comparison now works properly. The listed prefix and names are compared.

API Changes
* ``Mirror`` container has been changed to the more specific name `OffsetMirror`

Deprecations
* `happi` will no longer support Python 2.7