Add metric encoding information (#578)

docs/clearml_sdk/task_sdk.md

@@ -261,10 +261,33 @@ task_filter={
     # only training type tasks
     'type': ['training'],
     # match text in task comment or task name
-    'search_text': 'reg_exp_text'
+    'search_text': 'reg_exp_text',
+    # order return task lists by their update time in ascending order
+    'order_by': ['last_update']
 }
 ```
 
+:::tip Order tasks by metrics
+You can order the returned tasks by performance in a specific metric with `'order_by': [last_metrics.<md5-encoded-metric-title>.<md5-encoded-metric-variant>.<value_type>]`.
+* `<md5-encoded-metric-title>` and `<md5-encoded-metric-variant>` - MD5 encoded metric and variant names. In Python, you 
+can encode the strings with `hashlib.md5(str("<metric_name_string>").encode("utf-8")).hexdigest()`
+* `<value_type>` - Specify which metric values to use. The options are: `value` (last value), `min_value`, or `max_value`
+
+Use the `-` prefix to order the results in descending order.
+
+```python
+title = hashlib.md5(str("testing").encode("utf-8")).hexdigest()
+series = hashlib.md5(str("epoch_accuracy").encode("utf-8")).hexdigest()
+
+tasks = Task.get_tasks(
+  project_name='Example Project', 
+  # order tasks by metric performance in descending order
+  task_filter={'order_by': [f'-last_metrics.{title}.{series}.max_value']}
+)
+```
+:::
+
+
 See [`Task.get_tasks`](../references/sdk/task.md#taskget_tasks) for all `task_filter` options.
 
 ### Tag Filters

docs/webapp/webapp_reports.md

@@ -94,7 +94,7 @@ resources will be displayed. See [Dynamic Queries](#dynamic-queries) below.
     * `single` (single-scalar values table)
     * `sample` (debug sample)
     * `parcoords` (hyperparameter comparison plots) - for this option, you need to also specify the following parameters:
-      * `metrics` - Unique metric/variant ID formatted like `metric_id.variant_id` (find with your browser's inspect. See note [below](#event_id)) 
+      * `metrics` - Unique metric/variant ID formatted like `metric_id.variant_id` (see note [below](#event_id)) 
       * `variants` - Parameters to include in the plot (write in following format `<section_name>.<parameter_1>&<section_name>.<parameter_2>`)
       * `value_type` - Specify which metric values to use. The options are:
         * `min_value`
@@ -144,22 +144,18 @@ used.
   ```
   A list of tags that the experiment should contain is specified in the `tags` argument. You can also specify tags that 
   exclude experiments. See tag filter syntax examples [here](../clearml_sdk/task_sdk.md#tag-filters).    
-* Request the `training/accuracy` scalar plot of the 5 experiments with the best accuracy scores
+* Request the `training/accuracy` scalar plot of the 5 experiments with the best accuracy scores (see Metric/Variant IDs note [below](#event_id)):
 
   ```
-  src="<web_server>?objectType=task&type=scalar&metrics=training&variants=accuracy&project=4043a1657f374e9298649c6ba72ad233&page_size=5&page=0&order_by[]=-last_metrics.<metric_event_id>.<variant_event_id>.value"
+  src="<web_server>/widgets/?objectType=task&type=scalar&metrics=training&variants=accuracy&project=4043a1657f374e9298649c6ba72ad233&page_size=5&page=0&order_by[]=-last_metrics.<metric_id>.<variant_id>.value"
   ```
   
 <a id="event_id"></a>
 
-:::tip Event IDs
-The `tasks.get_all` and `models.get_all` API calls' parameters sometimes need event IDs, instead of names. To find event IDs: 
-1. Go to the relevant Experiments/Model table > Open the **Developer Tools** window (inspect) > click **Network**. 
-1. Execute the action you want the embed code to do (e.g. sort by update time, sort by accuracy). 
-1. Click on the API call `tasks.get_all_ex`/`models.get_all_ex` that appears in the **Network** tab. 
-1. Click on the **Payload** panel. 
-1. Click on the relevant parameter to see the relevant event's ID. For example, if you sorted by experiment accuracy, 
-you will see the metric's event ID under the `order_by` parameter.  
+:::tip Metric/Variant IDs
+Metric names need to be MD5 encoded for parallel coordinate plots and for ordering query results by metric
+performance. You can encode the strings in Python with `hashlib.md5(str("<metric_string>").encode("utf-8")).hexdigest()`,
+and use the returned MD5 hash in your query.
 :::