algolia / algolia/algoliasearch-client-python

feat(rules): Client side information consequence in rules

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Dominant language
Python
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Description

**Summary**

With the release of the merchandising UI, the need to control UI aspects using the QR is growing and the rules API needs to expose fields to store information to perform specific client side tasks in a structured way.

The new consequence `consequence.renderingContent` contains a json object where each top level attribute is restricted to known use cases. The currently identified use cases are:
- Redirect
- Facet merchandising / ordering
- User defined data

Each top level excepted the `userData` one have a schema which is enforced and strict and customers can add metadata using the `userData` object:

```json
{
"condition": {
"anchoring": "is",
"pattern": "samsung"
},
"consequence": {
"renderingContent": {
"redirect": {
"url": "https://algolia.com/samsung" // required by the API
},
"facetMerchandising": {
"order": [ "brand", "price"] // required by the API
},
"userData": {
"callback": "displayBrand(samsung)" // optional field defined by user
}
}
}
}
```

This information will be returned in a structured way in the path `rules.consequence` of the search response:

```json
{
"hits": [...],
[...],
"query": "samsung",
"rules": {
"consequence": {
"renderingContent": [ // Array containing the content of matching rules
{
"facetMerchandising": {
"order": [
"brand",
"price"
]
},
"redirect": {
"url": "https://algolia.com/samsung"
},
"userData": {
"callback": "displayBrand(samsung)"
}
}
]
}
},
"userData": [ // Legacy userData
{
"myUserData": {}
}
]
}
```

Internal specs issue: [#152](https://github.com/algolia/algoliasearch-client-specs-internal/issues/152)

Contributor guide

Open the contributing guide

Research direction

Start with the internal specs issue #152 and trace how rules.consequence is represented in search responses. Confirm the redirect, facetMerchandising, and userData structures, including strict fields and metadata, are exposed as the renderingContent array described in the issue.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
api, backend
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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