Merge branch 'clearml:main' into main

docs/hyperdatasets/dataviews.md

@@ -139,9 +139,9 @@ You can retrieve the Dataview frames using [`DataView.to_list()`](../references/
 [`DataView.to_dict()`](../references/hyperdataset/dataview.md#to_dict), or [`DataView.get_iterator()`](../references/hyperdataset/dataview.md#get_iterator)
 (see [Accessing Frames](#accessing-frames)).
 
-#### ROI Queries: 
+### ROI Query Examples 
 
-* **ROI query for a single label**
+#### ROI query for a single label
 
 This example uses an ROI query to filter for frames containing at least one ROI with the label `cat`:
 
@@ -163,7 +163,7 @@ myDataView.add_query(
 list_of_frames = myDataView.to_list()
 ```
 
-* **ROI query for one label OR another**
+#### ROI query for one label OR another
 
 This example uses an ROI query to filter for frames containing at least one ROI with either the label `cat` OR the label `dog`:
 
@@ -188,7 +188,7 @@ myDataView.add_query(
 list_of_frames = myDataView.to_list()
 ```
 
-* **ROI query for two specific labels in the same ROI**  
+#### ROI query for two specific labels in the same ROI
 
 This example uses an ROI query to filter for frames containing at least one ROI with both the label `Car` AND the label `partly_occluded`:
 
@@ -207,7 +207,7 @@ myDataView.add_query(
 list_of_frames = myDataView.to_list()
 ```
 
-* **ROI query for one label AND NOT another (Lucene query)**    
+#### ROI query for one label AND NOT another (Lucene query)
 
 This example uses an ROI query to filter for frames containing at least one ROI that has with the label `Car` AND DOES NOT 
 have the label `partly_occluded`:
@@ -230,7 +230,7 @@ myDataView.add_query(
 list_of_frames = myDataView.to_list()
 ```
 
-* **ROI query for one label AND another label in different ROIs**
+#### ROI query for one label AND another label in different ROIs
 
 This example uses an ROI query to filter for frames containing at least one ROI with the label `Car` and at least one 
 ROI with the label `Person`. The example demonstrates using the `roi_queries` parameter of [`DataView.add_multi_query()`](../references/hyperdataset/dataview.md#add_multi_query) 
@@ -250,7 +250,7 @@ myDataview.add_multi_query(
 list_of_frames = myDataView.to_list()
 ```
 
-* **ROI query for one label AND NOT another label in different ROIs**
+#### ROI query for one label AND NOT another label in different ROIs
 
 This example uses an ROI query to filter for frames containing at least one ROI with the label `Car` AND that DO NOT 
 contain ROIs with the label `Person`. To exclude an ROI, pass `must_not=True` in the [`DataView.RoiQuery`](../references/hyperdataset/dataview.md#roiquery) 
@@ -311,7 +311,7 @@ myDataView.add_query(
 list_of_frames = myDataView.to_list()
 ```
 
-#### Frame Queries
+### Frame Queries
 
 Use frame queries to filter frames by ROI labels and/or frame metadata key-value pairs that a frame must include or 
 exclude for the Dataview to return the frame. 
@@ -319,6 +319,8 @@ exclude for the Dataview to return the frame.
 **Frame queries** match frame meta key-value pairs, ROI labels, or both.
 They use the same logical OR, AND, NOT AND matching as ROI queries.
 
+#### Frame Query by Metadata
+
 This example demonstrates a frame query filtering for frames containing the meta key `city` value of `bremen`:
         
 ```python
@@ -336,6 +338,59 @@ myDataView.add_query(
 list_of_frames = myDataView.to_list()
 ```
 
+#### Frame Query by Date and Time
+Provided that a metadata field stores date and time values, you can query frames based on date ranges and specific time 
+intervals
+
+##### Frame Query for Specific Date
+This example demonstrates a frame query filtering for frames containing the meta key `updated` with the value of October 
+20th, 2024: 
+        
+```python
+# Add a frame query for frames with the meta key "updated" value of "2024-10-20"
+myDataView.add_query(
+    dataset_name='myDataset',
+    version_name='version',
+    frame_query='meta.updated:[2024-10-20 TO 2024-10-20]'
+)
+
+# retrieving the actual SingleFrames / FrameGroups 
+# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
+list_of_frames = myDataView.to_list()
+```
+
+##### Frame Query for Date Range
+
+This example demonstrates a frame query filtering for frames containing the meta key `updated` with any value between the
+dates of October 20th and October 30th, 2024: 
+
+```python
+# Add a frame query for frames with the meta key "updated" value between "2024-10-20" and "2024-10-30"
+myDataView.add_query(
+    dataset_name='myDataset',
+    version_name='version',
+    frame_query='meta.updated:[2024-10-20 TO 2024-10-30]'
+)
+
+# retrieving the actual SingleFrames / FrameGroups 
+# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
+list_of_frames = myDataView.to_list()
+```
+
+##### Frame Query for Time Interval
+
+This example demonstrates a frame query filtering for frames containing the meta key `updated` with any value between 
+`08:000` and `09:00` on October 20th, 2024: 
+
+```python
+# Add a frame query for frames with the meta key's value between 08:00:00 and 09:00:00 on 2024-10-20
+
+myDataView.add_query(
+    dataset_name='myDataset',
+    version_name='version',
+    frame_query='meta.<field_name>:[2024-10-20T08:00:00 TO 2024-10-20T09:00:00]'
+)
+```
 
 ### Controlling Query Iteration
 

docs/hyperdatasets/webapp/webapp_datasets_versioning.md

@@ -163,7 +163,7 @@ described in the example above. "Frame Filter 2" specifies an ROI rule for the f
 To clear all filters click <img src="/docs/latest/icons/ico-filter-reset.svg" alt="Clear filters" className="icon size-md" />. 
 
 
-#### Filtering Examples
+### Filtering Examples
 
 <Collapsible type="screenshot" title="ROI Rules"> 
 
@@ -199,7 +199,7 @@ To clear all filters click <img src="/docs/latest/icons/ico-filter-reset.svg" al
 
 </Collapsible>
 
-<Collapsible type="screenshot" title="Frame Rules">
+<Collapsible type="screenshot" title="Frame Rules: Metadata">
 
 Filter by metadata using Lucene queries.
 
@@ -215,6 +215,40 @@ Filter by metadata using Lucene queries.
 
 </Collapsible>
 
+<Collapsible type="screenshot" title="Frame Rules: Date and Time Fields">
+
+If your dataset includes a metadata field that stores date and time information, you can filter 
+based on date ranges or specific time intervals. 
+
+Filter by date/time metadata fields using Lucene queries.
+
+* **Data range filter**
+  * Add a frame rule to filter by the metadata key `updated` for the value of `[2024-10-20 TO 2024-10-20]`. The query 
+  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]`. 
+
+    ![Filter by date](../../img/hyperdatasets/frame_filtering_11.png#light-mode-only)
+    ![Filter by date](../../img/hyperdatasets/frame_filtering_11_dark.png#dark-mode-only)
+
+  * Open a frame in the frame viewer to see its metadata.
+
+    ![Frame date metadata in frame viewer](../../img/hyperdatasets/frame_filtering_12.png#light-mode-only)
+    ![Frame date metadata in frame viewer](../../img/hyperdatasets/frame_filtering_12_dark.png#dark-mode-only)
+
+* **Time interval filter** 
+  * 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]`. 
+  The query will match all frames where the updated value is between 08:00 and 09:00 on October 20th 2024. 
+  Use the format `meta.<field_name>.[YYYY-MM-DDThh:mm:ss TO YYYY-MM-DDThh:mm:ss]`. 
+  
+    ![Filter by datetime](../../img/hyperdatasets/frame_filtering_13.png#light-mode-only)
+    ![Filter by datetime](../../img/hyperdatasets/frame_filtering_13_dark.png#dark-mode-only)
+  
+  * Open a frame in the frame viewer to see its metadata.  
+
+    ![Frame datetimee metadata in frame viewer](../../img/hyperdatasets/frame_filtering_14.png#light-mode-only)
+    ![Frame datetime metadata in frame viewer](../../img/hyperdatasets/frame_filtering_14_dark.png#dark-mode-only)
+  
+</Collapsible>
+
 <Collapsible type="screenshot" title="Source Rules">
 
 Filter by sources using Lucene queries.