Declare that the ongoing coaching session is complete.

Set coaching to a specific assembly's step. Must provide an end-time for the current step and an assembly_record_id to report the endtime to.

Updates the torque configuration settings

Retrieves the current torque configuration settings

Some training actions aren't available until others have been performed. EG. Serial Number Verification isn't available until a Serial Number Capture has been made. This endpoint returns which area currently available for a given assembly.

Some steps depend on other steps, such as a Serial Number Verification depending on a previous Serial Number Capture. This endpoint will return which indices a step may be allowed to move to with these dependencies in mind.

If not already done, this will change the global training context to this assembly.

If not already done, this will change the global training context to this assembly

If not already done, this will change the global training context to this assembly

If not already done, this will change the global training context to this assembly

Between POST /model/start and POST /model/end of a Torque or IO action, declare when an IO event occurred.

Should be paired with POST /model/start/{assembly_id}. If not already done, this will change the global training context to this assembly

If a POST /model/end hasn't been called yet, you may revert the previous POST /model/start call, deleting any data that was generated from said call. This allows you to essentially "undo" the previous operation.

After changing the global training context to a specific assembly, this endpoint allows you to move a step from one position to another position without restriction.

After changing the global training context to a specific assembly, this endpoint allows you to copy a step from one position to another position without restriction.

An overlay is made up of rectangles. These will be displayed to the operator during coaching of a specific step.

Sometimes, a future step may depend on a previous step, such as a Serial Number Verification step depending on a previous Serial Number Capture step. This endpoint checks if other steps depend on this step or not, and responds whether it should be allowed to be deleted.

This endpoint returns multiple structural similarity index measures (SSIM) which represent how similar two images are. Each step is made up of multiple "end positions", or labels. This will return an SSIM comparing the STARTING position and each label. The closer to 0 the values are, the more similar they are.

Sample output:

{
    "step_number": 1,

    "ssim": {
        # Values are populated dynamically based on the amount of labels this step has
        "previous": 586.57,
        "incorrect_1": 874.01,
        "incorrect_2": 756.42,
        ...

    }
}