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Ran 05 Feb 2019 11:26PM UTC

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Committed 05 Feb 2019 11:23PM UTC coverage: 94.366% (-0.01%) from 94.378%

Job # TOXENV=py35

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push

travis-ci

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web-flow

Commit Message

Metadata summary for study documents (#342)

Currently, we have a lot of metadata for study docs, but no efficient way to search through it.
In order to provide users a menu to select professors, for example, an application would have to download *all* study documents to learn the possible professors.

On the other hand, this information is much needed, as most students will not know from the top of their head how exactly their professors name might be written or if their lecture can be found as 'Analysis' or 'Analysis I'

This defeats the purpose of filtering study documents with metadata.

Thus, this commit adds a server-side summary of metadata.
The response contains a new meta field `_summary`, which lists the available values for all meta-data fields along with how many documents are available for them.

```
_summary:
    professor:
        Prof. Dr. Awesome: 10
        Prof. Okay: 5
        ...
    lecture:
        ...
    ...
```

The summary is efficiently computed using the MongoDB aggregation framework.

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94%
master: 94%

README BADGES
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