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Add Hyper-Dataset date and time filtering (#1043)
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@@ -163,7 +163,7 @@ described in the example above. "Frame Filter 2" specifies an ROI rule for the f
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To clear all filters click <img src="/docs/latest/icons/ico-filter-reset.svg" alt="Clear filters" className="icon size-md" />.
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#### Filtering Examples
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### Filtering Examples
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<Collapsible type="screenshot" title="ROI Rules">
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@@ -199,7 +199,7 @@ To clear all filters click <img src="/docs/latest/icons/ico-filter-reset.svg" al
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</Collapsible>
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<Collapsible type="screenshot" title="Frame Rules">
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<Collapsible type="screenshot" title="Frame Rules: Metadata">
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Filter by metadata using Lucene queries.
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@@ -215,6 +215,40 @@ Filter by metadata using Lucene queries.
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</Collapsible>
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<Collapsible type="screenshot" title="Frame Rules: Date and Time Fields">
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If your dataset includes a metadata field that stores date and time information, you can filter
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based on date ranges or specific time intervals.
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Filter by date/time metadata fields using Lucene queries.
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* **Data range filter**
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* Add a frame rule to filter by the metadata key `updated` for the value of `[2024-10-20 TO 2024-10-20]`. The query
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will match all frames where the `updated` value matches October 20th 2024. Use the format `meta.<field_name>.[YYYY-MM-DD TO YYYY-MM-DD]`.
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* Open a frame in the frame viewer to see its metadata.
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* **Time interval filter**
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* Add a frame rule to filter by the metadata key `updated` for the value of `[2024-10-20T08:00:00 TO 2024-10-20T09:00:00]`.
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The query will match all frames where the updated value is between 08:00 and 09:00 on October 20th 2024.
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Use the format `meta.<field_name>.[YYYY-MM-DDThh:mm:ss TO YYYY-MM-DDThh:mm:ss]`.
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* Open a frame in the frame viewer to see its metadata.
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</Collapsible>
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<Collapsible type="screenshot" title="Source Rules">
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Filter by sources using Lucene queries.
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