exercism / exercism/delphi

Build analyzer

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x:action/create x:knowledge/advanced x:module/analyzer x:size/massive x:type/coding
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説明

In Exercism v3, we are making increased use of our v2 [analyzers](https://github.com/exercism/docs/blob/main/building/tooling/analyzers/README.md). Analyzers automatically assess student's submissions and provide mentor-style commentary. They can be used to catch common mistakes and/or do complex solution analysis that can't easily be done directly in a test suite.

Each analyzer is track-specific. When a new solution is submitted, we run the track's analyzer, which outputs a JSON file that contains the analysis results.

In v2, analyzer comments were given to a mentor to pass to a student. In v3, the analyzers will normally output directly to students, although we have added an extra key to output suggestions to mentors. If your track already has an analyzer, the only requisite change is updating the outputted copy to be student-facing.

The analyzer is an optional tool though, which means that if a track does not have an analyzer, it will still function normally.

## Goal

Build an analyzer for your track according to [the spec](https://github.com/exercism/docs/blob/main/building/tooling/analyzers/interface.md). Check [this page](https://github.com/exercism/docs/blob/main/building/tooling/analyzers/creating-from-scratch.md) to help you get started with building an analyzer.

It can be very useful to check how [other tracks have implemented their analyzer](https://github.com/search?q=org%3Aexercism+analyzer&type=repositories).

_If your track already has a working analyzer, please close this issue and ensure that the `.status.analyzer` key in the track `config.json` file is set to `true`._

## Choosing between representer and analyzer

There is some overlap between the goals of the representer and the analyzer. If you want to build both, we recommend starting by building the representer for the following reasons:

- Representers are usually (far) easier to implement
- Representers can have a far bigger impact on the mentoring load than analyzers by empowering mentors
- Representers apply to _all_ exercises, whereas analyzers usually target specific exercises or a subset

## Tracking

https://github.com/exercism/v3-launch/issues/53

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