Mocker DB

This class is a mock handler for simulating a vector database, designed primarily for testing and development scenarios. It offers functionalities such as text embedding, hierarchical navigable small world (HNSW) search, and basic data management within a simulated environment resembling a vector database.

import sys
import numpy as np
sys.path.append('../')
from python_modules.mocker_db import MockerDB, SentenceTransformerEmbedder, MockerSimilaritySearch

Usage examples

The examples contain:

1. Basic data insertion and retrieval
2. Text embedding and searching
3. Advanced filtering and removal
4. Testing the HNSW search algorithm
5. Simulating database connection and persistence

1. Basic Data Insertion and Retrieval

# Initialization
handler = MockerDB(
    # optional
    embedder_params = {'model_name_or_path' : 'paraphrase-multilingual-mpnet-base-v2',
                        'processing_type' : 'batch',
                        'tbatch_size' : 500},
    embedder = SentenceTransformerEmbedder,
    ## optional/ for similarity search
    similarity_search_h = MockerSimilaritySearch,
    return_keys_list = [],
    search_results_n = 3,
    similarity_search_type = 'linear',
    similarity_params = {'space':'cosine'},
    ## optional/ inputs with defaults
    file_path = "./mock_persist",
    persist = True,
    embedder_error_tolerance = 0.0
)
# Initialize empty database
handler.establish_connection()

# Insert Data
values_list = [
    {"text": "Sample text 1"},
    {"text": "Sample text 2"}
]
handler.insert_values(values_list, "text")

# Retrieve Data
handler.filter_keys(subkey="text", subvalue="Sample text 1")
handler.search_database_keys(query='text')
results = handler.get_dict_results(return_keys_list=["text"])
print(results)

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/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
  return self.fget.__get__(instance, owner)()


[{'text': 'Sample text 1'}]

2. Text Embedding and Searching

ste = SentenceTransformerEmbedder(# optional / adaptor parameters
                                  processing_type = '',
                                  tbatch_size = 500,
                                  max_workers = 2,
                                  # sentence transformer parameters 
                                  model_name_or_path = 'paraphrase-multilingual-mpnet-base-v2',)

# Single Text Embedding
query = "Sample query"
embedded_query = ste.embed(query,
                           # optional
                           processing_type='')
print(embedded_query)

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 -8.63622036e-03 -1.43607870e-01 -1.50732100e-01  9.11850706e-02
  8.64870939e-03 -3.25617082e-02  1.34019479e-01 -1.63856685e-01
  1.36033669e-01  1.14904441e-01  4.38025482e-02 -9.39435959e-02
  4.05399455e-03 -1.41965464e-01  5.14710546e-02  3.88757773e-02
 -1.16507076e-01  7.45718107e-02 -7.20862523e-02 -2.47435477e-02
 -2.03980923e-01 -6.08341508e-02  1.35731384e-01  1.32900774e-02
  1.33474901e-01  2.81802993e-02  2.19143331e-01  4.10475396e-02
 -1.59956209e-04 -1.17532112e-01  2.28244010e-02  1.31247878e-01
 -2.95795109e-02  1.05132319e-01 -6.23807013e-02  7.63252452e-02
  9.89628658e-02  1.22716404e-01  3.16371396e-02  3.11459079e-02
  3.84768061e-02  3.47584821e-02 -1.80067658e-01  5.18876612e-02
 -7.53239915e-02  7.16690049e-02  8.82115506e-04 -2.55916622e-02
 -1.02231903e-02 -6.01483183e-03  4.52578701e-02  6.58819526e-02
 -1.42006069e-01 -7.39639252e-02 -1.44660652e-01  5.61182648e-02
 -1.83660090e-01  3.61300185e-02 -6.29912987e-02 -4.94130105e-02
 -4.08506989e-02 -3.60373594e-02  2.58146197e-01  5.95355742e-02
  5.10878162e-03 -3.62038985e-02 -2.17971150e-02  8.97661820e-02
 -2.21195426e-02  9.44938660e-02 -7.69869313e-02 -9.08030346e-02]

# Batch Text Embedding
queries = ["Sample query", "Sample query 2"]
embedded_query = ste.embed(queries,
                           # optional
                           processing_type='batch')
print(embedded_query)

[array([-4.97358441e-02,  9.52027068e-02, -1.21950805e-02,  9.25386846e-02,
       -2.30183024e-02, -2.72101555e-02,  5.68394959e-02,  9.71098542e-02,
        1.06838755e-01,  5.81227355e-02,  1.32275552e-01,  1.14283292e-02,
       -6.95725381e-02,  6.98073953e-02, -5.25936373e-02, -5.75599261e-02,
        8.16180184e-03, -8.36836919e-03, -8.61246511e-03,  1.44206816e-02,
        1.18881762e-02, -9.50366929e-02,  7.12573305e-02, -4.82778996e-02,
        1.47316093e-02,  1.08418018e-02, -1.04824841e-01,  7.01252595e-02,
       -4.72064428e-02,  1.00300491e-01,  4.45593745e-02,  2.13188883e-02,
        6.67917961e-03, -5.25919311e-02,  6.82299435e-02, -9.52047184e-02,
       -5.81364706e-03, -2.45188326e-02, -3.84989637e-03,  2.75073200e-02,
        6.96027353e-02,  2.40137413e-01, -1.22002251e-02,  5.89093864e-02,
       -8.46866742e-02,  1.13796860e-01, -3.59476544e-02, -5.65296151e-02,
       -1.62181072e-02,  9.54673588e-02,  1.51199549e-02,  2.33741239e-01,
       -2.21628591e-01,  1.07304186e-01,  2.16171935e-01, -2.22787857e-02,
       -4.15886194e-02, -4.08979766e-02,  2.01920703e-01, -7.75608409e-04,
        8.41789246e-02, -8.94407704e-02, -1.20869055e-02, -4.17135060e-02,
       -3.01388144e-01, -1.43254548e-02, -2.39239573e-01, -3.19648907e-03,
       -2.52977759e-03, -4.99501526e-02,  3.33306044e-01,  1.46714479e-01,
       -3.30513120e-02,  9.27303210e-02, -4.21730690e-02,  1.84025899e-01,
        1.37977451e-02,  2.67264303e-02, -5.55324368e-02, -2.14524660e-02,
       -4.89850007e-02,  8.25637653e-02,  3.88990752e-02, -4.39954400e-02,
       -1.25228941e-01, -9.49177444e-02,  1.90369338e-02,  9.44906846e-02,
       -4.66672294e-02, -7.81421363e-02,  2.13614985e-01, -3.24374884e-02,
       -3.02455295e-02, -5.69951199e-02, -6.43145815e-02, -5.61831445e-02,
        1.72590185e-02, -1.12081088e-01,  2.46091962e-01,  2.40189090e-01,
        1.59510300e-01,  1.42543146e-03,  3.06476038e-02, -3.47046927e-03,
        2.15647057e-01, -2.40180194e-01,  2.73528341e-02,  7.73130963e-03,
       -5.45029379e-02,  1.43933939e-02, -4.94583510e-02, -5.02761342e-02,
        2.72662882e-02,  1.14807509e-01, -3.03159449e-02,  4.69623990e-02,
        2.52741963e-01,  4.70356643e-02,  9.48429480e-02, -1.14841960e-01,
        7.93368593e-02, -5.58237843e-02, -1.01570658e-01,  1.38212964e-01,
       -7.29667023e-02, -1.94154739e-01, -1.13226354e-01,  2.71175802e-02,
       -6.64618099e-03, -2.80742526e-01,  3.40551208e-03, -6.28485456e-02,
        3.34719308e-02, -3.71668823e-02,  3.41998376e-02, -3.39929424e-02,
        1.77578907e-02, -1.41779825e-01, -2.76762098e-01, -1.06887199e-01,
        3.59078012e-02, -1.18862577e-01, -8.72129425e-02, -7.54909217e-02,
        5.17001376e-03, -4.26943153e-02, -2.61188149e-02,  2.15522006e-01,
       -9.32362303e-02,  8.49703252e-02, -2.69041453e-02,  6.84323087e-02,
       -4.20674719e-02, -2.41822954e-02, -8.00772160e-02, -3.88904288e-02,
        2.54109830e-01,  1.27643868e-01, -3.82195897e-02,  9.26105753e-02,
       -3.70166637e-02, -4.47226949e-02, -5.48709824e-04, -4.70037796e-02,
        3.26676182e-02,  1.24119759e-01, -1.65621728e-01,  3.02985758e-02,
       -1.84210345e-01,  6.48211828e-03, -1.19375639e-01,  6.13870472e-02,
       -9.66084078e-02,  7.84027427e-02,  4.93185408e-02,  2.20424652e-01,
        1.46083102e-01, -3.19794305e-02, -4.01527807e-02,  1.43549144e-02,
       -1.22966282e-01, -3.78688388e-02,  3.63850705e-02,  9.34212748e-03,
       -1.45691363e-02,  3.30574214e-02,  1.16366714e-01, -4.63711098e-03,
       -7.12689087e-02, -8.13282505e-02,  5.52689172e-02, -1.95969976e-02,
       -8.78095627e-02,  1.57193348e-01,  5.01345061e-02,  2.39931103e-02,
        2.21805405e-02, -1.41602591e-01,  1.57573689e-02,  8.29730369e-03,
       -1.08261801e-01, -1.20306693e-01,  2.60895491e-01, -5.42085171e-02,
       -8.48430097e-02, -1.56419650e-01, -9.97648016e-02,  3.21643502e-02,
       -4.85346317e-02,  6.21494390e-02,  2.96495467e-01, -6.32112613e-03,
       -4.60537970e-02,  7.13990405e-02,  3.60348113e-02,  1.25573114e-01,
        2.22527161e-02, -6.95160478e-02,  4.34843870e-03, -5.14570661e-02,
       -7.66470879e-02, -1.78168297e-01,  3.30690364e-03, -4.17593606e-02,
       -1.24827087e-01, -3.52785992e-03, -1.06658116e-02, -3.60358879e-02,
        1.03272252e-01, -7.26250699e-03,  4.65561263e-02, -1.39898108e-02,
        7.04104677e-02,  6.48955330e-02,  9.15322825e-02, -1.50292829e-01,
        4.35251929e-02, -2.07934663e-01, -2.10142434e-02, -1.97210208e-01,
       -6.72525987e-02, -3.78657207e-02, -1.18668951e-01,  8.04460794e-03,
       -6.36367872e-02,  6.08971827e-02,  9.39408168e-02, -6.23681359e-02,
       -2.52390206e-02, -3.87506522e-02,  1.54046447e-03,  3.32388724e-03,
        3.41954120e-02,  9.32556689e-02,  6.98749200e-02,  3.25795822e-02,
       -1.47251472e-01, -1.01586832e-02, -1.86523899e-01,  6.67865798e-02,
       -9.41863582e-02, -1.17796123e-01, -4.01674323e-02,  1.01352474e-02,
        9.93464887e-02, -2.79663932e-02,  5.44255190e-02, -1.94028556e-01,
        6.98598102e-02,  6.99766949e-02, -3.38133685e-02, -2.54950877e-02,
        1.46248311e-01, -3.45759355e-02, -2.31850892e-02, -1.58779193e-02,
       -2.27386966e-01, -3.66001800e-02,  1.50575638e-02,  3.68818082e-02,
        4.74885106e-02, -7.96327647e-03, -4.95873876e-02, -8.57923254e-02,
       -1.38038591e-01,  6.20743521e-02,  1.16452754e-01, -6.64791986e-02,
        1.44527122e-01,  3.50326635e-02, -1.90408099e-02,  7.19369808e-03,
        6.57461062e-02, -7.10462108e-02,  2.84818988e-02, -1.48895487e-01,
       -1.43891990e-01,  1.80630937e-01,  2.69310083e-02, -1.05897516e-01,
        5.14382012e-02,  8.56884196e-02, -1.00111447e-01,  8.25218931e-02,
       -1.59648106e-01,  9.83102322e-02,  1.20347202e-01, -1.48455188e-01,
        1.22901827e-01,  3.23295332e-02,  6.79613203e-02,  2.94522997e-02,
        3.30485962e-02,  3.40636045e-01,  8.27786699e-02, -3.19370665e-02,
        9.42984521e-02,  6.34153336e-02, -3.45948972e-02,  1.61738396e-01,
       -2.94820126e-02, -1.01864643e-01,  1.26090869e-01,  6.86784312e-02,
        1.58735681e-02, -5.67219704e-02, -3.77377011e-02,  4.26916480e-02,
       -5.02400696e-02,  1.36057511e-01,  3.18148732e-02, -4.21285480e-02,
        4.40219641e-02, -3.44228633e-02, -7.82470629e-02, -4.60634474e-03,
       -1.82451438e-02,  6.65471703e-02, -1.62732340e-02,  1.31348088e-01,
       -5.12065403e-02, -1.24659091e-01,  1.88569035e-02, -2.55252302e-01,
        3.17564517e-01, -3.19756866e-02,  5.00651784e-02,  3.52741741e-02,
       -3.04758903e-02, -2.18163617e-03,  3.57029750e-03,  9.86691937e-02,
        5.05469628e-02, -2.73854341e-02, -4.63318033e-03, -1.27322972e-01,
       -3.96550708e-02,  1.36105508e-01,  2.32034121e-02, -1.39382526e-01,
        4.24755029e-02,  2.17226744e-02,  1.73845068e-01,  1.33221477e-01,
       -1.20733775e-01, -8.17043632e-02, -3.89715321e-02, -8.96601155e-02,
       -7.07126558e-02, -1.77479219e-02,  2.69318148e-02, -5.13087213e-02,
       -9.89792868e-02,  3.01608723e-02,  1.46921977e-01,  9.53763798e-02,
        5.36982976e-02,  4.58555156e-03, -2.29335248e-01, -6.94293901e-02,
        4.70677577e-02,  3.51025909e-02,  1.77125335e-01,  3.21073942e-02,
        4.95246649e-02, -5.91244996e-02, -4.84371819e-02, -3.99778970e-02,
       -2.42469892e-01,  1.24699049e-01,  1.02876052e-02, -1.46528944e-01,
       -3.00468523e-02, -6.26166537e-02,  2.28825733e-01, -2.61671096e-02,
        3.95989195e-02,  1.32433787e-01, -1.58041138e-02,  4.83125895e-02,
       -2.84463596e-02,  7.90311769e-02, -1.45256907e-01,  5.07616661e-02,
       -4.18499410e-02, -1.05099440e-01, -1.15420282e-01,  2.92170718e-02,
       -2.29764488e-02,  1.57610238e-01,  7.43361712e-02, -1.34183422e-01,
       -3.49640027e-02, -2.01157536e-02,  1.31260246e-01,  1.00768916e-01,
       -3.86710763e-02, -1.10524513e-01, -2.08062287e-02, -2.34501123e-01,
        1.76549748e-01, -1.26329556e-01, -9.99279204e-04, -4.05623671e-03,
       -5.49046211e-02, -1.12150900e-01, -1.13821484e-01,  9.09698904e-02,
        1.14466488e-01,  4.28187661e-02,  8.42687264e-02, -6.14728294e-02,
       -1.04783028e-02, -6.43578395e-02, -1.36920676e-01,  4.36386168e-02,
        1.43148646e-01, -2.79286336e-02,  6.05454408e-02, -3.23313363e-02,
        4.33195829e-02,  3.65808755e-02,  1.98734209e-01, -6.33498281e-03,
        9.38283559e-03,  5.70900030e-02, -3.43288295e-02, -9.24716368e-02,
       -6.66009635e-02,  5.35399616e-02, -7.39429072e-02, -1.00614645e-01,
       -8.40588883e-02,  1.71793327e-01,  2.47310963e-03,  1.17366659e-02,
       -6.18557148e-02, -1.01849474e-01, -7.52139613e-02,  1.59694508e-01,
        2.77959127e-02,  2.88570613e-01, -1.41033038e-01, -8.57148468e-02,
        9.23371222e-03, -6.23141937e-02,  4.45753336e-02,  1.28435418e-01,
       -3.15352865e-02, -8.11184123e-02, -1.99609876e-01,  7.60621503e-02,
       -6.20332360e-02,  1.13931596e-01,  1.38115942e-01,  3.88050415e-02,
       -1.10099591e-01, -7.43022636e-02, -7.50836805e-02,  5.47286235e-02,
        4.91658859e-02,  1.03694759e-01,  8.64920244e-02, -1.13132156e-01,
        3.64496708e-02, -2.39883289e-02,  8.37043896e-02,  1.80470590e-02,
        7.68335909e-03, -9.52477679e-02, -4.14068736e-02,  6.80344924e-02,
        9.01915655e-02, -4.11057360e-02, -1.32528946e-01,  1.35436177e-01,
        4.03817222e-02,  6.78746551e-02, -2.57796615e-01, -1.02200009e-01,
        5.88118769e-02,  5.37318469e-04,  1.65411569e-02,  1.36166513e-02,
        4.34438996e-02,  1.75657228e-01,  4.95370626e-02, -5.58124343e-03,
        5.48670292e-02,  8.39655474e-02,  9.92386043e-02, -4.64942493e-02,
        1.24701783e-02,  2.48212554e-03,  4.83021401e-02, -1.41320094e-01,
       -2.61716425e-01, -1.44869015e-01, -2.05798261e-02,  1.03334926e-01,
        1.26257250e-02, -4.12221951e-03,  5.11583313e-03,  1.33204877e-01,
        1.29297152e-01,  1.18625849e-01,  7.35986605e-02, -4.07568738e-02,
        2.47837659e-02,  1.14760675e-01, -3.49560264e-03, -2.19482202e-02,
       -4.74742390e-02, -7.37805897e-03, -1.20588534e-01,  1.06648602e-01,
        1.07272036e-01,  6.65291920e-02,  4.59127724e-02, -1.90569878e-01,
        2.65134946e-02,  1.34995937e-01,  7.11865947e-02,  8.79004076e-02,
        4.16003503e-02,  1.47626176e-01, -4.51338897e-03,  4.77312952e-02,
        9.64466855e-02,  8.08939263e-02, -2.42714956e-02,  1.06150597e-01,
       -7.29609951e-02, -1.99412219e-02,  1.50640681e-01, -1.33796006e-01,
       -8.13909322e-02, -8.58616456e-02,  7.56295621e-02, -2.00818464e-01,
        8.25092494e-02, -2.20511138e-01, -4.16590553e-03,  2.62687877e-02,
       -5.67125417e-02, -4.69720960e-02, -2.64254734e-02,  3.99474613e-02,
        9.71583948e-02,  5.97064644e-02,  7.21404776e-02, -1.40752539e-01,
       -2.65643205e-02,  7.75602832e-02,  1.04712071e-02,  1.37477135e-02,
        1.20778628e-01, -1.03996001e-01, -4.82021868e-02, -1.33010566e-01,
       -9.76495668e-02, -1.19808666e-01,  1.73510373e-01, -4.47390936e-02,
       -5.81210619e-03,  4.43830006e-02,  8.25452581e-02,  2.81869844e-02,
        7.86273181e-02,  1.29306927e-01,  3.20608653e-02,  2.80246735e-02,
       -1.18166067e-01, -7.82027319e-02, -9.45421532e-02, -2.74281320e-03,
        4.12526093e-02,  1.36011064e-01,  1.61814347e-01, -8.02561864e-02,
        7.93130025e-02, -1.32286638e-01, -3.03723663e-02,  1.05144419e-02,
        3.84911075e-02, -9.31361690e-02,  5.47769479e-02,  5.45491576e-02,
       -8.08416307e-02,  1.19166195e-01, -8.55887949e-04,  4.46184278e-02,
       -1.90915130e-02,  6.73939139e-02,  3.15404832e-01,  3.03059164e-02,
        1.02371126e-01,  4.30044383e-02, -3.61463241e-02,  7.48894140e-02,
       -1.18094822e-03, -8.38022009e-02, -7.58022293e-02,  6.60630837e-02,
        2.39427492e-01, -1.63898338e-02, -9.40650180e-02, -5.44193275e-02,
       -1.34929761e-01,  3.32876921e-01,  1.42047659e-01, -1.92448292e-02,
        3.88347022e-02,  6.47595003e-02, -5.28134555e-02, -3.71460617e-02,
        2.47822534e-02, -3.86018753e-02, -5.88897653e-02, -2.20054369e-02,
       -1.00480825e-01, -3.56286243e-02, -1.02278054e-01,  1.20344916e-02,
       -4.69305646e-03, -3.72559614e-02, -1.75646499e-01,  1.83819719e-02,
       -4.97726388e-02,  1.39717748e-02, -1.08233631e-01, -5.35118468e-02,
        3.67030613e-02, -8.60925913e-02, -7.71339610e-02, -1.41962498e-01,
        2.51772553e-02,  3.02505344e-02,  1.18197061e-01,  8.06910172e-02,
       -6.91054314e-02,  9.77457166e-02, -2.66012177e-03,  9.27125104e-03,
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       -4.09504212e-02, -7.65807480e-02, -1.65785942e-02, -3.89910750e-02,
       -1.61135569e-01, -1.00767082e-02, -1.79193348e-01, -1.46112274e-04,
       -7.35668605e-03, -1.83115415e-02, -6.07052930e-02, -4.73581813e-02,
       -6.90140501e-02,  4.36306931e-02, -1.83195084e-01, -1.46408724e-02,
        3.29923704e-02, -1.73745662e-01, -7.11844191e-02, -5.27843051e-02,
        1.40604064e-01,  1.40038179e-02,  1.33708015e-01,  1.24224581e-01,
        6.62087416e-03,  1.13560572e-01, -2.03456986e-03, -9.96303838e-03,
       -7.85044581e-02, -1.39722347e-01, -8.93250555e-02, -1.54897962e-02,
       -7.54082873e-02,  6.28692564e-03,  1.81724817e-01,  1.01815224e-01,
        6.43581077e-02,  7.61677027e-02,  3.05516683e-02, -1.13626920e-01,
       -1.46849260e-01,  1.18094943e-01, -4.98404987e-02, -1.46010204e-03,
        1.06530771e-01, -1.66792385e-02, -1.54052740e-02,  1.03180278e-02,
        1.23121776e-01, -1.18163362e-01, -4.58641676e-03,  1.00551844e-01,
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       -1.02242548e-02, -1.27621874e-01,  4.04319027e-03, -7.98599422e-03,
        4.19738181e-02, -4.96280119e-02,  8.35944861e-02, -1.01357706e-01,
        8.26737881e-02,  1.15119748e-01, -7.08450656e-03, -1.05022587e-01,
        5.68579733e-02, -7.43845031e-02,  6.51947409e-02,  7.38768056e-02,
       -1.35037273e-01,  4.60157916e-02,  1.45685431e-02, -1.06070722e-02,
       -2.46264145e-01,  5.40008135e-02,  1.28938109e-01, -3.92496660e-02,
        1.42959610e-01,  8.47052410e-02,  2.33803257e-01,  3.88214625e-02,
        2.95802020e-02, -1.18441351e-01,  1.88815296e-02,  1.30824298e-01,
       -2.42468137e-02,  7.63466731e-02,  1.59934573e-02,  2.47517191e-02,
        4.32863757e-02,  1.80624366e-01, -2.35267244e-02, -2.42192801e-02,
        8.75040367e-02, -3.06164809e-02, -1.45540819e-01,  5.52200200e-03,
       -6.54414073e-02, -4.51959893e-02, -5.68860583e-02, -5.64491265e-02,
        2.39983797e-02,  1.00415098e-02,  9.47509985e-03,  8.77969638e-02,
       -5.90556823e-02, -4.08448465e-02, -1.03261866e-01,  4.95873764e-02,
       -1.09416023e-01,  8.31519887e-02,  3.63145024e-04, -9.88238677e-02,
       -6.81360587e-02, -4.12008539e-02,  2.22369432e-01,  1.27350360e-01,
       -4.02154662e-02, -5.91877624e-02, -1.03995414e-03,  4.94611152e-02,
       -1.12419249e-02,  1.31308153e-01, -4.14726697e-02, -1.21358588e-01],
      dtype=float32)]

# Search Database
handler.search_database(query)
search_results = handler.get_dict_results(return_keys_list=["text"])

# Display Results
print(search_results)

[{'text': 'Sample text 1'}]

3. Advanced Filtering and Removal

# Advanced Filtering
filter_criteria = {"text": "Sample text 1"}
handler.filter_database(filter_criteria)
filtered_data = handler.filtered_data
print(filtered_data)

# Data Removal
handler.remove_from_database(filter_criteria)
print(handler.data)

{'1faad290827464bcc5a2359fd802680c7dca91feb03604af4e929014955a5570': {'text': 'Sample text 1', 'embedding': array([-4.94665317e-02, -2.38676056e-01, -9.62016266e-03,  8.10620487e-02,
        3.10080256e-02, -1.32602334e-04,  2.23857149e-01,  1.36439905e-01,
        1.12343498e-03,  6.58008158e-02,  2.29892924e-01, -5.80044352e-02,
       -6.09661788e-02,  2.03570440e-01,  6.81679696e-04, -1.83527961e-01,
        7.52832070e-02, -7.59223402e-02, -3.35857421e-02,  5.57932705e-02,
        1.99187156e-02, -3.93867865e-03,  3.08720674e-02, -7.18624592e-02,
       -1.88895240e-02,  1.82226468e-02, -6.17383383e-02,  1.34449797e-02,
        5.45747345e-03,  2.80156974e-02,  4.40168791e-02,  1.43856257e-01,
        4.41634543e-02, -2.37560138e-01,  5.63158840e-02, -9.69012380e-02,
       -3.45691182e-02, -1.63727552e-02, -3.26099284e-02, -6.92171976e-02,
        2.26346329e-01,  8.00394863e-02, -6.81642490e-03,  9.40042660e-02,
       -1.26307487e-01,  1.34297863e-01,  1.36889398e-01,  1.18778974e-01,
       -1.94891617e-02,  7.11436346e-02, -3.86661552e-02, -1.10276928e-02,
       -1.05394244e-01,  6.61477149e-02,  1.78890049e-01, -1.03908824e-02,
       -2.38922182e-02, -7.86946490e-02,  9.41836759e-02,  1.86288312e-01,
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       -2.21479669e-01,  1.35984980e-02, -3.16949412e-02, -5.24123125e-02,
       -1.27236098e-02,  1.53432721e-02,  3.91704679e-01,  2.53408756e-02,
        9.58670396e-03, -4.96635772e-02,  2.19034869e-02, -6.48597106e-02,
       -3.44172306e-02,  6.54095635e-02, -1.30382136e-01,  6.86891153e-02,
        7.55874999e-03,  6.00211136e-02, -1.26394138e-01,  8.48691836e-02,
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       -2.14867610e-02,  5.30426987e-02,  1.57802343e-01,  1.25101686e-01,
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        5.03208898e-02,  7.52718523e-02,  3.53984125e-02,  9.70364213e-02,
        2.10308015e-01, -2.64039245e-02,  1.25857219e-01, -1.22891508e-01,
       -3.83290052e-02, -6.96485937e-02,  5.88324806e-03, -1.51908591e-01,
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       -6.31502047e-02, -5.08963056e-02,  2.16908902e-02, -3.85268219e-02,
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        2.32881145e-03,  7.29405209e-02, -9.96787772e-02,  4.03353088e-02,
        1.13354467e-01, -8.06813315e-02,  1.07550181e-01, -3.03504556e-01,
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        3.82120401e-04, -2.83483714e-02,  2.95081791e-02,  9.49682370e-02,
        3.87709513e-02,  2.39711896e-01,  1.89425554e-02,  1.46795092e-02,
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        1.05690874e-01, -6.24455512e-02,  3.36023197e-02,  4.17507142e-02,
        1.25101373e-01, -1.11331314e-01, -8.29360485e-02, -8.86962109e-04,
       -2.04806086e-02,  4.73678410e-02, -8.95536244e-02, -9.90912095e-02,
        2.01467704e-02, -8.05073604e-02,  2.28265867e-01,  6.00711554e-02,
        2.64563411e-01,  1.00560464e-01,  6.46622060e-03, -8.64400566e-02,
       -6.95286617e-02,  7.11172074e-02,  2.80919243e-02,  2.32277453e-01,
        1.02218769e-01, -4.65950221e-02,  1.02967471e-01, -2.78186053e-02,
        2.59664338e-02,  1.99460909e-01,  6.56562597e-02, -1.15973493e-02,
       -3.37200202e-02,  1.82004031e-02,  6.82209730e-02,  1.26261696e-01,
       -5.26433298e-03, -6.96929470e-02, -2.79474556e-02, -6.68801889e-02,
       -2.17522159e-01,  4.95177805e-02, -1.53041184e-01, -7.32073486e-02,
       -1.25799039e-02, -5.64290173e-02, -2.05090232e-02, -4.04116772e-02,
       -5.22250831e-02,  6.40796795e-02, -1.26779035e-01,  5.89979105e-02,
       -6.63260594e-02, -8.34465399e-02, -9.95437428e-02, -4.63724844e-02,
        7.97865465e-02, -1.69844124e-02,  8.31538588e-02,  7.24353194e-02,
        1.80157572e-02,  1.11470930e-01,  4.90640998e-02, -3.94180156e-02,
       -1.05195820e-01, -1.28669143e-01, -2.99694743e-02, -3.93678844e-02,
        4.29173075e-02,  9.24789682e-02,  1.33855805e-01,  3.76396999e-02,
        3.11578382e-02,  1.05092101e-01, -2.84817070e-02, -2.76782304e-01,
       -3.61553431e-02,  1.47403032e-01, -3.49988528e-02,  2.91113984e-02,
       -5.19284606e-03, -9.65779349e-02, -1.53080868e-02,  4.44302373e-02,
        2.50377029e-01, -9.59905311e-02,  2.19147969e-02,  8.13776851e-02,
        2.47061029e-02,  1.60071865e-01,  1.00699611e-01, -1.15632555e-02,
        1.40255585e-01, -8.63878727e-02, -8.59558284e-02, -1.36277108e-02,
        2.84033939e-02, -1.32010445e-01,  7.91793689e-02,  8.51387903e-03,
        2.89710741e-02, -7.41524100e-02,  9.75693837e-02, -7.06967637e-02,
        2.83067450e-02, -2.62210402e-03, -1.09748922e-01, -7.01852515e-02,
        3.51308063e-02,  7.03008473e-02,  6.92721829e-02,  7.80404210e-02,
       -8.49197209e-02, -3.44967358e-02,  3.88601013e-02,  7.72067681e-02,
       -2.74894685e-01,  1.78046361e-01,  2.13886555e-02, -3.35294813e-01,
       -2.25478914e-02,  3.62582244e-02,  1.80885598e-01,  3.56309712e-02,
        6.67760894e-02,  5.87160885e-02,  1.08576275e-01,  1.02850579e-01,
        1.99176714e-01,  7.78839886e-02,  1.20135300e-01, -6.10032417e-02,
        2.42214222e-02,  1.24266066e-01, -9.10037979e-02,  1.86655205e-02,
        1.11449473e-01, -1.70180246e-01,  3.14272456e-02, -9.99176223e-03,
       -1.11330636e-01, -4.57902253e-03,  7.98713882e-03, -7.61397257e-02,
       -5.27238399e-02,  7.70124653e-03, -5.36160804e-02,  2.80973855e-02,
        6.60121441e-02, -4.63050716e-02, -7.36360848e-02, -7.36922696e-02,
        1.58863124e-02,  1.31041825e-01, -3.83151203e-01, -2.21285969e-02,
       -9.97106954e-02,  2.12957878e-02,  4.49315123e-02,  1.35768518e-01,
        6.98914304e-02, -1.63493395e-01, -4.88207527e-02,  1.08675331e-01,
        7.00394958e-02,  9.76195112e-02, -1.18549040e-03, -1.37235463e-01],
      dtype=float32)}}

4. Testing the HNSW Search Algorithm

mss = MockerSimilaritySearch(
    # optional
    search_results_n = 3,
    similarity_params = {'space':'cosine'},
    similarity_search_type ='linear'
)

# Create embeddings
embeddings = [ste.embed("example1"), ste.embed("example2")]


# Assuming embeddings are pre-calculated and stored in 'embeddings'
data_with_embeddings = {"record1": {"embedding": embeddings[0]}, "record2": {"embedding": embeddings[1]}}
handler.data = data_with_embeddings

# HNSW Search
query_embedding = embeddings[0]  # Example query embedding
labels, distances = mss.hnsw_search(query_embedding, np.array(embeddings), k=1)
print(labels, distances)

[0] [3.5762787e-07]

5. Simulating Database Connection and Persistence

# Establish Connection
handler.establish_connection()

# Change and Persist Data
handler.insert_values([{"text": "New sample text"}], "text")
handler.save_data()

# Reload Data
handler.establish_connection()
print(handler.data)

{'1faad290827464bcc5a2359fd802680c7dca91feb03604af4e929014955a5570': {'text': 'Sample text 1', 'embedding': array([-4.94665317e-02, -2.38676056e-01, -9.62016266e-03,  8.10620487e-02,
        3.10080256e-02, -1.32602334e-04,  2.23857149e-01,  1.36439905e-01,
        1.12343498e-03,  6.58008158e-02,  2.29892924e-01, -5.80044352e-02,
       -6.09661788e-02,  2.03570440e-01,  6.81679696e-04, -1.83527961e-01,
        7.52832070e-02, -7.59223402e-02, -3.35857421e-02,  5.57932705e-02,
        1.99187156e-02, -3.93867865e-03,  3.08720674e-02, -7.18624592e-02,
       -1.88895240e-02,  1.82226468e-02, -6.17383383e-02,  1.34449797e-02,
        5.45747345e-03,  2.80156974e-02,  4.40168791e-02,  1.43856257e-01,
        4.41634543e-02, -2.37560138e-01,  5.63158840e-02, -9.69012380e-02,
       -3.45691182e-02, -1.63727552e-02, -3.26099284e-02, -6.92171976e-02,
        2.26346329e-01,  8.00394863e-02, -6.81642490e-03,  9.40042660e-02,
       -1.26307487e-01,  1.34297863e-01,  1.36889398e-01,  1.18778974e-01,
       -1.94891617e-02,  7.11436346e-02, -3.86661552e-02, -1.10276928e-02,
       -1.05394244e-01,  6.61477149e-02,  1.78890049e-01, -1.03908824e-02,
       -2.38922182e-02, -7.86946490e-02,  9.41836759e-02,  1.86288312e-01,
        1.62893757e-02, -2.51514670e-02,  4.87150140e-02, -1.15837157e-02,
       -2.21479669e-01,  1.35984980e-02, -3.16949412e-02, -5.24123125e-02,
       -1.27236098e-02,  1.53432721e-02,  3.91704679e-01,  2.53408756e-02,
        9.58670396e-03, -4.96635772e-02,  2.19034869e-02, -6.48597106e-02,
       -3.44172306e-02,  6.54095635e-02, -1.30382136e-01,  6.86891153e-02,
        7.55874999e-03,  6.00211136e-02, -1.26394138e-01,  8.48691836e-02,
       -8.68465472e-03, -4.34644818e-02, -8.76259580e-02,  5.20812571e-02,
       -2.86964420e-02, -5.93849123e-02,  1.38072342e-01, -1.11532629e-01,
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       -9.33959782e-02, -1.28137484e-01, -1.38629926e-02, -5.87715656e-02,
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       -1.01217650e-01,  8.44614133e-02, -1.27254218e-01,  3.25705819e-02,
       -3.09096668e-02, -1.16814405e-01,  3.56131531e-02, -1.36927202e-01,
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       -1.30750477e-01,  6.08527027e-02,  6.72785118e-02,  1.90145243e-02,
        1.23152852e-01, -6.64752945e-02,  3.07538118e-02, -1.66477293e-01,
        4.74466123e-02,  2.19578203e-02,  5.71466871e-02,  1.09132685e-01,
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       -6.73073018e-03,  2.49187306e-01,  7.11331889e-02,  1.15814269e-01,
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       -7.70294592e-02, -2.17766687e-02, -1.97753329e-02,  3.66190858e-02,
        7.85802603e-02,  5.23452349e-02,  5.10812104e-02, -3.01909000e-02,
        4.65069152e-02,  4.47784699e-02, -7.14755729e-02,  9.04856324e-02,
        6.97366297e-02,  4.85135429e-02, -2.08363887e-02,  1.06120266e-01,
       -9.16756094e-02, -1.32485852e-01,  6.64849207e-02, -3.08695585e-01,
        2.10403576e-01, -1.63786318e-02,  1.17764033e-01,  4.07419801e-02,
       -1.74733043e-01,  3.25491801e-02,  2.37946715e-02,  6.47614077e-02,
        2.70477533e-02, -7.60300681e-02, -8.57555196e-02, -2.17801835e-02,
        6.49151877e-02, -9.76242423e-02, -1.51382759e-04, -2.51025945e-01,
        1.97853208e-01, -3.20089497e-02,  2.85716560e-02,  2.76061505e-01,
       -5.92630617e-02, -1.21250153e-01, -7.38908025e-03, -9.23699215e-02,
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        6.09060889e-03,  7.18310550e-02,  7.33060017e-02,  8.24018419e-02,
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       -9.02175382e-02,  2.98728764e-01,  1.37074053e-01, -1.00492621e-02,
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