Add initial job models & endpoints

[mihow]

Data source status placeholder endpoint

To test the storage settings of a deployment, send a POST request to /api/v2/status/storage/ with the data_source path configured for a Deployment (e.g. "s3://ami-trapdata/vermont/luna"). The endpoint will return "CONNECTED" or "ERROR". The frontend should show "CONNECTING" while waiting for a response. The endpoint will also return 10 random image paths from the data source that can be used in the example_captures slideshow in the Deployment details modal.

https://api.dev.insectai.org/api/v2/status/storage/

New jobs modal and placeholder endpoints

The batch ID job names & statuses can be fetched with /api/v2/jobs/ to create the jobs table

The job detail endpoint is a little more involved and could be ignore for now. It needs to be rather flexible since there will be multiple types of jobs with different stages. There are two main properties with nested attributes: config and progress. config is used to populate the Summary and Stages section of the job details modal. Here are several screenshots of the UI with notes about which properties each bit of data comes from. Below is the JSON for an example job. There is a key property for each stage and parameter that can be used.

{
    "id": 2,
    "details": "http://localhost:8000/api/v2/jobs/2/",
    "name": "Quebec images",
    "project": "http://localhost:8000/api/v2/projects/1/",
    "deployment": "http://localhost:8000/api/v2/deployments/1/",
    "status": "PENDING",
    "started_at": null,
    "finished_at": null,
    "config": {
        "input": {
            "name": "Captures",
            "size": 100
        },
        "stages": [
            {
                "name": "Object Detection",
                "key": "object_detection",
                "params": [
                    {
                        "key": "model",
                        "name": "Localization Model",
                        "value": "yolov5s"
                    },
                    {
                        "key": "batch_size",
                        "name": "Batch Size",
                        "value": 8
                    },
                    {
                        "key": "input_size",
                        "name": "Images processed",
                        "read_only": true
                    },
                    {
                        "key": "output_size",
                        "name": "Objects detected",
                        "read_only": true
                    }
                ]
            },
            {
                "name": "Objects of Interest Filter",
                "key": "binary_classification",
                "params": [
                    {
                        "key": "algorithm",
                        "name": "Binary classification model",
                        "value": "resnet18"
                    },
                    {
                        "key": "batch_size",
                        "name": "Batch Size",
                        "value": 8
                    },
                    {
                        "key": "input_size",
                        "name": "Objects processed",
                        "read_only": true
                    },
                    {
                        "key": "output_size",
                        "name": "Objects of interest",
                        "read_only": true
                    }
                ]
            },
            {
                "name": "Species Classification",
                "key": "species_classification",
                "params": [
                    {
                        "key": "algorithm",
                        "name": "Species classification model",
                        "value": "resnet18"
                    },
                    {
                        "key": "batch_size",
                        "name": "Batch Size",
                        "value": 8
                    },
                    {
                        "key": "input_size",
                        "name": "Species processed",
                        "read_only": true
                    },
                    {
                        "key": "output_size",
                        "name": "Species classified",
                        "read_only": true
                    }
                ]
            },
            {
                "name": "Occurrence Tracking",
                "key": "tracking",
                "params": [
                    {
                        "key": "algorithm",
                        "name": "Occurrence tracking algorithm",
                        "value": "adityacombo"
                    },
                    {
                        "key": "input_size",
                        "name": "Detections processed",
                        "read_only": true
                    },
                    {
                        "key": "output_size",
                        "name": "Occurrences identified",
                        "read_only": true
                    }
                ]
            }
        ]
    },
    "progress": {
        "stages": [
            {
                "key": "object_detection",
                "status": "WAITING",
                "progress": 0,
                "time_elapsed": 0,
                "time_remaining": null,
                "input_size": 0,
                "output_size": 0
            },
            {
                "key": "binary_classification",
                "status": "WAITING",
                "progress": 0,
                "time_elapsed": 0,
                "time_remaining": null,
                "input_size": 0,
                "output_size": 0
            },
            {
                "key": "species_classification",
                "status": "WAITING",
                "progress": 0,
                "time_elapsed": 0,
                "time_remaining": null,
                "input_size": 0,
                "output_size": 0
            },
            {
                "key": "tracking",
                "status": "WAITING",
                "progress": 0,
                "time_elapsed": 0,
                "time_remaining": null,
                "input_size": 0,
                "output_size": 0
            }
        ]
    },
    "result": {}
}

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[annavik]

Thanks for the detailed explanation!!