Procedure Composite Process Instance – Django REST framework

Get a list of ProcedureComputation objects. ProcedureComputations have a 1:1 mapping with Observations where used.
These may have a number of 2 or more components made up of combinations of Computation and Acquisition records.
The details of the underlying records have been serialised.

### Available end points:

- `/ProcedureComputations/` - Will list all ProcedureComputations in the database
- `/ProcedureComputations.json` - Will return all ProcedureComputations in json format
- `/ProcedureComputations/<object_id>/` - Returns ProcedureComputations object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

None
### How to use filters:

None

GET /api/v2/composites/31991/?format=api

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 31991,
    "computationComponent": [
        {
            "ob_id": 31990,
            "uuid": "4c9ae86990f24dd5bcfdb2eacc445d0b",
            "title": "Processing chain for the GERB-HR-ED01 rlut 1hrCM Obs4MIPS product",
            "abstract": "The GERB TOA outgoing longwave radiation (OLR) Obs4MIPs product has been generated from GERB level 2 HR OLR fluxes.  There are three main stages. The first ingests the Edition 1 GERB HR OLR data and generates an area weighted flux product at 1° by 1° spatial resolution for every 15 minute time interval. In the second stage these data are averaged over time to produce an hourly averaged product. Each hour interval is defined as the time-centred mean at half-past the hour, e.g. 1030 UTC comprises of the mean of data from 1000 UTC, 1015 UTC, 1030 UTC and 1045 UTC (or from those slots in this window that are available). An hourly average is produced for a 1° by 1° grid cell if there is one or more observation from the four observation times available for that grid cell. The final processing stage averages the hourly mean fluxes over the days in the month to produce a one degree monthly mean product at hourly intervals. The number of data points (days per monthly hourly mean) contributing to each monthly mean are used to estimate the uncertainties associated with the product.",
            "keywords": "",
            "inputDescription": null,
            "outputDescription": null,
            "softwareReference": null,
            "identifier_set": []
        }
    ],
    "acquisitionComponent": [
        {
            "ob_id": 25280,
            "independentInstrument": [],
            "instrumentplatformpair_set": [
                {
                    "ob_id": 11379,
                    "platform": "https://api.catalogue.ceda.ac.uk/api/v2/platforms/2658/?format=api",
                    "instrument": "https://api.catalogue.ceda.ac.uk/api/v2/instruments/3853/?format=api",
                    "relatedTo": {
                        "ob_id": 25280,
                        "uuid": "8b1f29db1c304ce2a849cc727f64ff0a",
                        "short_code": "acq"
                    }
                }
            ]
        }
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141664/?format=api"
    ]
}