DOCS-3167: Update python doc strings for tabular_data_by_sql

static/include/app/apis/generated/data.md

@@ -56,7 +56,7 @@ Obtain unified tabular data and metadata, queried with SQL.
 
 **Returns:**
 
-- (List[Dict[[str](https://docs.python.org/3/library/stdtypes.html#text-sequence-type-str), viam.utils.ValueTypes | [datetime.datetime](https://docs.python.org/3/library/datetime.html)]]): An array of data objects.
+- (List[Dict[[str](https://docs.python.org/3/library/stdtypes.html#text-sequence-type-str), viam.utils.ValueTypes | [datetime.datetime](https://docs.python.org/3/library/datetime.html)]]): An array of decoded BSON data objects.
 
 **Example:**
 
@@ -82,32 +82,24 @@ Obtain unified tabular data and metadata, queried with MQL.
 **Parameters:**
 
 - `organization_id` ([str](https://docs.python.org/3/library/stdtypes.html#text-sequence-type-str)) (required): The ID of the organization that owns the data. You can obtain your organization ID from the Viam app’s organization settings page.
-- `mql_binary` (List[[bytes](https://docs.python.org/3/library/stdtypes.html#bytes-objects)]) (required): The MQL query to run as a list of BSON queries. You can encode your bson queries using a library like pymongo or bson.
+- `mql_binary` (List[[bytes](https://docs.python.org/3/library/stdtypes.html#bytes-objects)]) (required): The MQL query to run as a list of BSON queries. You can encode your bson queries using a library like pymongo.
 
 **Returns:**
 
-- (List[Dict[[str](https://docs.python.org/3/library/stdtypes.html#text-sequence-type-str), viam.utils.ValueTypes | [datetime.datetime](https://docs.python.org/3/library/datetime.html)]]): An array of data objects.
+- (List[Dict[[str](https://docs.python.org/3/library/stdtypes.html#text-sequence-type-str), viam.utils.ValueTypes | [datetime.datetime](https://docs.python.org/3/library/datetime.html)]]): An array of decoded BSON data objects.
 
 **Example:**
 
 ```python {class="line-numbers linkable-line-numbers"}
 import bson
 
-# using bson package (pip install bson)
-tabular_data = await data_client.tabular_data_by_mql(organization_id="<YOUR-ORG-ID>", mql_binary=[
-    bson.dumps({ '$match': { 'location_id': '<YOUR-LOCATION-ID>' } }),
-    bson.dumps({ '$limit': 5 })
-])
-
-print(f"Tabular Data 1: {tabular_data}")
-
 # using pymongo package (pip install pymongo)
 tabular_data = await data_client.tabular_data_by_mql(organization_id="<YOUR-ORG-ID>", mql_binary=[
     bson.encode({ '$match': { 'location_id': '<YOUR-LOCATION-ID>' } }),
     bson.encode({ "$limit": 5 })
 ])
 
-print(f"Tabular Data 2: {tabular_data}")
+print(f"Tabular Data: {tabular_data}")
 ```
 
 For more information, see the [Python SDK Docs](https://python.viam.dev/autoapi/viam/app/data_client/index.html#viam.app.data_client.DataClient.tabular_data_by_mql).

static/include/components/apis/generated/arm-table.md

@@ -4,6 +4,7 @@
 | [`GetEndPosition`](/appendix/apis/components/arm/#getendposition) | Get the current position of the arm as a pose. |
 | [`MoveToPosition`](/appendix/apis/components/arm/#movetoposition) | Move the end of the arm in a straight line to the desired pose, relative to the base of the arm. |
 | [`MoveToJointPositions`](/appendix/apis/components/arm/#movetojointpositions) | Move each joint on the arm to the position specified in `positions`. |
+| [`MoveThroughJointPositions`](/appendix/apis/components/arm/#movethroughjointpositions) | Move the arm's joints through the given positions in the order they are specified. |
 | [`GetJointPositions`](/appendix/apis/components/arm/#getjointpositions) | Get the current position of each joint on the arm. |
 | [`GetKinematics`](/appendix/apis/components/arm/#getkinematics) | Get the kinematics information associated with the arm as the format and byte contents of the kinematics file. |
 | [`IsMoving`](/appendix/apis/components/arm/#ismoving) | Get if the arm is currently moving. |

static/include/components/apis/generated/arm.md

@@ -254,6 +254,30 @@ For more information, see the [Flutter SDK Docs](https://flutter.viam.dev/viam_s
 {{% /tab %}}
 {{< /tabs >}}
 
+### MoveThroughJointPositions
+
+Move the arm's joints through the given positions in the order they are specified.
+This will block until done or a new operation cancels this one.
+
+{{< tabs >}}
+{{% tab name="Go" %}}
+
+**Parameters:**
+
+- `ctx` [(Context)](https://pkg.go.dev/context#Context): A Context carries a deadline, a cancellation signal, and other values across API boundaries.
+- `positions` [([][]referenceframe.Input)](https://pkg.go.dev/go.viam.com/rdk/referenceframe#Input)
+- `options` [(*MoveOptions)](https://pkg.go.dev/go.viam.com/rdk/components/arm#MoveOptions)
+- `extra` [(map[string]interface{})](https://go.dev/blog/maps): Extra options to pass to the underlying RPC call.
+
+**Returns:**
+
+- [(error)](https://pkg.go.dev/builtin#error): An error, if one occurred.
+
+For more information, see the [Go SDK Docs](https://pkg.go.dev/go.viam.com/rdk/components/arm#Arm).
+
+{{% /tab %}}
+{{< /tabs >}}
+
 ### GetJointPositions
 
 Get the current position of each joint on the arm.

static/include/components/apis/overrides/protos/arm.MoveThroughJointPositions.md

@@ -0,0 +1,2 @@
+Move the arm's joints through the given positions in the order they are specified.
+This will block until done or a new operation cancels this one.

static/include/robot/apis/generated/robot.md

@@ -211,6 +211,26 @@ const componentConfigs = await machine.discoverComponents(queries);
 
 For more information, see the [Typescript SDK Docs](https://ts.viam.dev/classes/RobotClient.html).
 
+{{% /tab %}}
+{{% tab name="Flutter" %}}
+
+**Parameters:**
+
+- `queries` [List](https://api.flutter.dev/flutter/dart-core/List-class.html)\<[DiscoveryQuery](https://flutter.viam.dev/viam_sdk/DiscoveryQuery-class.html)\> (required)
+
+**Returns:**
+
+- [Future](https://api.flutter.dev/flutter/dart-async/Future-class.html)\<[List](https://api.flutter.dev/flutter/dart-core/List-class.html)\<[Discovery](https://flutter.viam.dev/viam_sdk/Discovery-class.html)\>\>
+
+**Example:**
+
+```dart {class="line-numbers linkable-line-numbers"}
+var queries = [DiscoveryQuery(subtype: 'camera', model: 'webcam', extra: {'username': 'admin', 'password': 'admin'})];
+var discoveredComponents = await machine.discoverComponents(queries);
+```
+
+For more information, see the [Flutter SDK Docs](https://flutter.viam.dev/viam_sdk/RobotClient/discoverComponents.html).
+
 {{% /tab %}}
 {{< /tabs >}}
 

static/include/services/apis/generated/mlmodel.md

@@ -22,8 +22,6 @@ import numpy as np
 
 my_mlmodel = MLModelClient.from_robot(robot=machine, name="my_mlmodel_service")
 
-output_tensors = await my_mlmodel.infer(input_tensors)
-
 image_data = np.zeros((1, 384, 384, 3), dtype=np.uint8)
 
 # Create the input tensors dictionary
@@ -52,20 +50,7 @@ For more information, see the [Python SDK Docs](https://python.viam.dev/autoapi/
 **Example:**
 
 ```go {class="line-numbers linkable-line-numbers"}
-import (
-    "go.viam.com/rdk/ml"
-    "gorgonia.org/tensor"
-)
-
-myMLModel, err := mlmodel.FromRobot(machine, "my_mlmodel_service")
-
-input_tensors := ml.Tensors{
-    "image": tensor.New(
-        tensor.Of(tensor.Uint8),
-        tensor.WithShape(1, 384, 384, 3),
-        tensor.WithBacking(make([]uint8, 1*384*384*3)),
-    ),
-}
+input_tensors := ml.Tensors{"0": tensor.New(tensor.WithShape(1, 2, 3), tensor.WithBacking([]int{1, 2, 3, 4, 5, 6}))}
 
 output_tensors, err := myMLModel.Infer(context.Background(), input_tensors)
 ```