Preflight process graph validation raised

Hey Kato,

Some dates indeed have no data. For TERRASCOPE_S2_TOC_V2, clouds are masked away, and sometimes the extent could be right on the edge of an satellite image.

For 2024-07-01 for example, you can see that some parcels have no pixel data:

To debug it, it is possible to put a try-except around the root of the error, and add some extra information to it. For example:

def apply_udf_data(data: UdfData):
    ## DATA ##
    # Load data
    ts_dict = data.get_structured_data_list()[0].data
    try:
        # All udf content..
    except Exception as e:
        raise Exception(f"data: {ts_dict} Error in UDF: {e}")
example output showing date with full data and date without
...
    "2024-07-21T00:00:00Z": [
        [0.8570518051253425],
        [0.6750948457633819],
        [0.448033818602562],
        [0.4843438924413866],
        [0.5221023321151733],
        [0.4247104223874899],
        [0.7748762883061655],
        [0.3261186053522494],
        [0.3745484292507172],
        [0.3898260928180119],
        [0.6785347053879186],
        [0.6013477584719658],
        [0.6835786989591655],
        [0.671942118096025],
        [0.7652009990480211],
        [0.7984053597510236],
        [0.812631408231599],
        [0.7812918780230674],
        [0.7503446271643043],
        [0.6487146471179811],
        [0.4645040519535541],
        [0.4679112182678403],
        [0.5753125915569919],
        [0.7401473565253219],
        [0.5436416496621802],
        [0.7716637833913167],
        [0.6086455756879371],
        [0.4922040828988572],
        [0.632121983456285],
        [0.6265893798321486],
        [0.5093726385079447],
        [0.4625303537949272],
        [0.7344460727332475],
        [0.686734888653398],
        [0.6822119863136955],
        [0.6550523322395962],
        [0.6488686796798501],
        [0.5015533617858229],
        [0.3824223267360472],
        [0.8114082086831331],
        [0.3861597855124742],
        [0.5325922912784985],
        [0.8319205016317502],
        [0.5145040865127857],
        [0.4465995261418646],
        [0.3304970000938671],
        [0.3858031509004437],
        [0.3183579211754183],
        [0.8354987859725952],
        [0.7430333115082585],
        [0.7569319856794257],
        [0.5214956813993362],
        [0.7124942578767476],
        [0.2654576441530364],
        [0.2521615133646431],
        [0.2847584302796692],
        [0.283719279180617],
        [0.5317853645517908],
        [0.4937739551807782],
        [0.4785858993568728],
        [0.5271638310736134],
        [0.5725147386173626],
        [0.2989589810961544],
        [0.3201076213556986],
        [0.3895329804915302],
        [0.3594205772876739],
        [0.5677102953195572],
        [0.5464025835196177],
        [0.3475884056091308],
        [0.3116959840560159],
    ],
    "2024-07-01T00:00:00Z": [
        [0.5823072632153828],
        [0.1699785963664163],
        [0.184436729333053],
        [0.2172549554204519],
        [0.2047472642080204],
        [0.1677890313704582],
        ["NaN"],
        [0.6128483965541377],
        ["NaN"],
        [0.4472256359988696],
        [0.3669533133506775],
        [0.3288891437649727],
        [0.6153470992463307],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        [0.6758419781923294],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        [0.2571837585419416],
        [0.246400433013568],
        [0.4538096615246364],
        ["NaN"],
        ["NaN"],
        [0.636947397674833],
        [0.4769561469554901],
        [0.2432188093662262],
        [0.2592999690199551],
        [0.5305595848709345],
        [0.8136955518192716],
        ["NaN"],
        ["NaN"],
        [0.6019838022631269],
        ["NaN"],
        [0.2100491670587349],
        [0.3082389459815076],
        ["NaN"],
        ["NaN"],
        [0.7018024623394012],
        [0.5673989646377102],
        [0.269725786788123],
        [0.6898954724761802],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        [0.8185631275177002],
        [0.3823173540888481],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        [0.2989414166659117],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        [0.6745566910710828],
        ["NaN"],
        ["NaN"],
        [0.2156848811677524],
        ["NaN"],
        [0.7146707514921824],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        ["NaN"],
        [0.4450587159395218],
        [0.4101725849283843],
    ],
...