embeddings-log.py

import requests

container_url = 'http://localhost:8000/log-embeddings'
password = 'password'

# Send 10 embeddings at once. You can send whatever is convenient for your use case though.
embeddings = [[0.418,0.24968,-0.41242,0.1217,0.34527,-0.044457,-0.49688,-0.17862,-0.00066023,-0.6566,0.27843,-0.14767,-0.55677,0.14658,-0.0095095,0.011658,0.10204,-0.12792,-0.8443,-0.12181,-0.016801,-0.33279,-0.1552,-0.23131,-0.19181,-1.8823,-0.76746,0.099051,-0.42125,-0.19526,4.0071,-0.18594,-0.52287,-0.31681,0.00059213,0.0074449,0.17778,-0.15897,0.012041,-0.054223,-0.29871,-0.15749,-0.34758,-0.045637,-0.44251,0.18785,0.0027849,-0.18411,-0.11514,-0.78581],[0.013441,0.23682,-0.16899,0.40951,0.63812,0.47709,-0.42852,-0.55641,-0.364,-0.23938,0.13001,-0.063734,-0.39575,-0.48162,0.23291,0.090201,-0.13324,0.078639,-0.41634,-0.15428,0.10068,0.48891,0.31226,-0.1252,-0.037512,-1.5179,0.12612,-0.02442,-0.042961,-0.28351,3.5416,-0.11956,-0.014533,-0.1499,0.21864,-0.33412,-0.13872,0.31806,0.70358,0.44858,-0.080262,0.63003,0.32111,-0.46765,0.22786,0.36034,-0.37818,-0.56657,0.044691,0.30392],[0.15164,0.30177,-0.16763,0.17684,0.31719,0.33973,-0.43478,-0.31086,-0.44999,-0.29486,0.16608,0.11963,-0.41328,-0.42353,0.59868,0.28825,-0.11547,-0.041848,-0.67989,-0.25063,0.18472,0.086876,0.46582,0.015035,0.043474,-1.4671,-0.30384,-0.023441,0.30589,-0.21785,3.746,0.0042284,-0.18436,-0.46209,0.098329,-0.11907,0.23919,0.1161,0.41705,0.056763,-6.3681e-05,0.068987,0.087939,-0.10285,-0.13931,0.22314,-0.080803,-0.35652,0.016413,0.10216],[0.70853,0.57088,-0.4716,0.18048,0.54449,0.72603,0.18157,-0.52393,0.10381,-0.17566,0.078852,-0.36216,-0.11829,-0.83336,0.11917,-0.16605,0.061555,-0.012719,-0.56623,0.013616,0.22851,-0.14396,-0.067549,-0.38157,-0.23698,-1.7037,-0.86692,-0.26704,-0.2589,0.1767,3.8676,-0.1613,-0.13273,-0.68881,0.18444,0.0052464,-0.33874,-0.078956,0.24185,0.36576,-0.34727,0.28483,0.075693,-0.062178,-0.38988,0.22902,-0.21617,-0.22562,-0.093918,-0.80375],[0.68047,-0.039263,0.30186,-0.17792,0.42962,0.032246,-0.41376,0.13228,-0.29847,-0.085253,0.17118,0.22419,-0.10046,-0.43653,0.33418,0.67846,0.057204,-0.34448,-0.42785,-0.43275,0.55963,0.10032,0.18677,-0.26854,0.037334,-2.0932,0.22171,-0.39868,0.20912,-0.55725,3.8826,0.47466,-0.95658,-0.37788,0.20869,-0.32752,0.12751,0.088359,0.16351,-0.21634,-0.094375,0.018324,0.21048,-0.03088,-0.19722,0.082279,-0.09434,-0.073297,-0.064699,-0.26044],[0.26818,0.14346,-0.27877,0.016257,0.11384,0.69923,-0.51332,-0.47368,-0.33075,-0.13834,0.2702,0.30938,-0.45012,-0.4127,-0.09932,0.038085,0.029749,0.10076,-0.25058,-0.51818,0.34558,0.44922,0.48791,-0.080866,-0.10121,-1.3777,-0.10866,-0.23201,0.012839,-0.46508,3.8463,0.31362,0.13643,-0.52244,0.3302,0.33707,-0.35601,0.32431,0.12041,0.3512,-0.069043,0.36885,0.25168,-0.24517,0.25381,0.1367,-0.31178,-0.6321,-0.25028,-0.38097],[0.33042,0.24995,-0.60874,0.10923,0.036372,0.151,-0.55083,-0.074239,-0.092307,-0.32821,0.09598,-0.82269,-0.36717,-0.67009,0.42909,0.016496,-0.23573,0.12864,-1.0953,0.43334,0.57067,-0.1036,0.20422,0.078308,-0.42795,-1.7984,-0.27865,0.11954,-0.12689,0.031744,3.8631,-0.17786,-0.082434,-0.62698,0.26497,-0.057185,-0.073521,0.46103,0.30862,0.12498,-0.48609,-0.0080272,0.031184,-0.36576,-0.42699,0.42164,-0.11666,-0.50703,-0.027273,-0.53285],[0.21705,0.46515,-0.46757,0.10082,1.0135,0.74845,-0.53104,-0.26256,0.16812,0.13182,-0.24909,-0.44185,-0.21739,0.51004,0.13448,-0.43141,-0.03123,0.20674,-0.78138,-0.20148,-0.097401,0.16088,-0.61836,-0.18504,-0.12461,-2.2526,-0.22321,0.5043,0.32257,0.15313,3.9636,-0.71365,-0.67012,0.28388,0.21738,0.14433,0.25926,0.23434,0.4274,-0.44451,0.13813,0.36973,-0.64289,0.024142,-0.039315,-0.26037,0.12017,-0.043782,0.41013,0.1796],[0.25769,0.45629,-0.76974,-0.37679,0.59272,-0.063527,0.20545,-0.57385,-0.29009,-0.13662,0.32728,1.4719,-0.73681,-0.12036,0.71354,-0.46098,0.65248,0.48887,-0.51558,0.039951,-0.34307,-0.014087,0.86488,0.3546,0.7999,-1.4995,-1.8153,0.41128,0.23921,-0.43139,3.6623,-0.79834,-0.54538,0.16943,-0.82017,-0.3461,0.69495,-1.2256,-0.17992,-0.057474,0.030498,-0.39543,-0.38515,-1.0002,0.087599,-0.31009,-0.34677,-0.31438,0.75004,0.97065],[0.23727,0.40478,-0.20547,0.58805,0.65533,0.32867,-0.81964,-0.23236,0.27428,0.24265,0.054992,0.16296,-1.2555,-0.086437,0.44536,0.096561,-0.16519,0.058378,-0.38598,0.086977,0.0033869,0.55095,-0.77697,-0.62096,0.092948,-2.5685,-0.67739,0.10151,-0.48643,-0.057805,3.1859,-0.017554,-0.16138,0.055486,-0.25885,-0.33938,-0.19928,0.26049,0.10478,-0.55934,-0.12342,0.65961,-0.51802,-0.82995,-0.082739,0.28155,-0.423,-0.27378,-0.007901,-0.030231]] 

payload = {
    'datasetId': 'model-33',
    # For embeddings to work, you'll have to configure the container first using custom config, just like this sample repo does.
    # The column name `embeddings` should match the name that you set in your embeddings config as well.
    'embeddings': {
        # This 'embeddings' is the name of the logical column in the whylogs profile. You can send more than one at a time if you want.
        'embeddings': embeddings,
        # 'other-embeddings': ..., # Like this for example
    },
    'timestamp': 1678997916000 # Optional. leave out for "now"
}

response = requests.post(container_url, json = payload, headers={'Authorization': f'Bearer {password}'})
print(response)