fix: Add matching and enum_value_type fields to Datapoint schema model

[stancld]

Add support for matching:

Datapoint with matching after this change:

[Datapoint(id='vendor_match',
           type='enum',
           label='Vendor Match',
           description=None,
           category='datapoint',
           disable_prediction=False,
           hidden=False,
           can_export=True,
           can_collapse=False,
           rir_field_names=[],
           default_value=None,
           constraints={'required': False},
           score_threshold=None,
           options=[],
           ui_configuration={'edit': 'enabled', 'type': 'lookup'},
           width=None,
           stretch=False,
           width_chars=None,
           formula=None,
           prompt=None,
           context=None,
           matching=Matching(type='master_data_hub',
                             configuration=MatchingConfiguration(dataset='imported-0d652b68-fd8b-4fc8-9cee-d39105b1304b',
                                                                 queries=[MatchingQuery(aggregate=[{'$addFields': {'search_vat_norm': {'$toLower': {'$trim': {'input': {'$replaceAll': {'find': ' ',
                                                                                                                                                                                        'input': '$$sender_vat_id'}}}}},
                                                                                                                   'vat_norm': {'$toLower': {'$trim': {'input': {'$replaceAll': {'find': ' ',
                                                                                                                                                                                 'input': '$VAT '
                                                                                                                                                                                          'ID'}}}}}}},
                                                                                                   {'$match': {'$expr': {'$eq': ['$vat_norm',
                                                                                                                                 '$search_vat_norm']}}},
                                                                                                   {'$limit': 5},
                                                                                                   {'$project': {'label': '$Name', 'value': '$ID'}}],
                                                                                        comment='Exact normalized match on VAT ID - primary strategy for '
                                                                                                'structured identifiers'),
                                                                          MatchingQuery(aggregate=[{'$match': {'Name': '$$sender_name'}},
                                                                                                   {'$limit': 5},
                                                                                                   {'$project': {'label': '$Name', 'value': '$ID'}}],
                                                                                        comment='Exact match on vendor name - secondary strategy for exact '
                                                                                                'name matches'),
                                                                          MatchingQuery(aggregate=[{'$search': {'text': {'fuzzy': {'maxEdits': 1},
                                                                                                                         'path': 'Name',
                                                                                                                         'query': '$$sender_name'}}},
                                                                                                   {'$addFields': {'score': {'$meta': 'searchScore'}}},
                                                                                                   {'$match': {'score': {'$gte': 2}}},
                                                                                                   {'$sort': {'score': -1}},
                                                                                                   {'$limit': 10},
                                                                                                   {'$project': {'label': '$Name', 'value': '$ID'}}],
                                                                                        comment='Fuzzy match on vendor name - tertiary strategy for name '
                                                                                                'variations and typos'),
                                                                          MatchingQuery(aggregate=[{'$search': {'text': {'fuzzy': {'maxEdits': 2},
                                                                                                                         'path': ['Name', 'Address'],
                                                                                                                         'query': '$$sender_name'}}},
                                                                                                   {'$addFields': {'score': {'$meta': 'searchScore'}}},
                                                                                                   {'$match': {'score': {'$gte': 1.5}}},
                                                                                                   {'$sort': {'score': -1}},
                                                                                                   {'$limit': 15},
                                                                                                   {'$project': {'label': '$Name', 'value': '$ID'}}],
                                                                                        comment='Broader fuzzy search across name and address fields - '
                                                                                                'fallback for partial matches')],
                                                                 variables={'sender_name': MatchingVariable(formula='default_to(field.sender_name, "UNKNOWN")'),
                                                                            'sender_vat_id': MatchingVariable(formula='default_to(field.sender_vat_id, '
                                                                                                                      '"UNKNOWN")')})),
           enum_value_type='string')]

Datapoint w/o matching after this change

[Datapoint(id='document_id',
           type='string',
           label='Document ID',
           description=None,
           category='datapoint',
           disable_prediction=False,
           hidden=False,
           can_export=True,
           can_collapse=False,
           rir_field_names=[],
           default_value=None,
           constraints={'required': False},
           score_threshold=None,
           options=None,
           ui_configuration={'edit': 'enabled', 'type': 'captured'},
           width=None,
           stretch=False,
           width_chars=None,
           formula=None,
           prompt=None,
           context=None,
           matching=None,
           enum_value_type=None)]