|
1 | 1 | import sys |
2 | 2 | from binascii import unhexlify |
3 | 3 |
|
| 4 | +import numpy as np |
4 | 5 | import pandas |
5 | 6 | from _snowflake import vectorized |
6 | 7 |
|
@@ -59,6 +60,180 @@ def feast_snowflake_varchar_to_string_proto(df): |
59 | 60 | return df |
60 | 61 |
|
61 | 62 |
|
| 63 | +""" |
| 64 | +CREATE OR REPLACE FUNCTION feast_snowflake_array_bytes_to_list_bytes_proto(df ARRAY) |
| 65 | + RETURNS BINARY |
| 66 | + LANGUAGE PYTHON |
| 67 | + RUNTIME_VERSION = '3.8' |
| 68 | + PACKAGES = ('protobuf', 'pandas') |
| 69 | + HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_bytes_to_list_bytes_proto' |
| 70 | + IMPORTS = ('@feast_stage/feast.zip'); |
| 71 | +""" |
| 72 | +# ValueType.STRING_LIST = 12 |
| 73 | +@vectorized(input=pandas.DataFrame) |
| 74 | +def feast_snowflake_array_bytes_to_list_bytes_proto(df): |
| 75 | + sys._xoptions["snowflake_partner_attribution"].append("feast") |
| 76 | + |
| 77 | + # Sometimes bytes come in as strings so we need to convert back to float |
| 78 | + numpy_arrays = np.asarray(df[0].to_list()).astype(bytes) |
| 79 | + |
| 80 | + df = list( |
| 81 | + map( |
| 82 | + ValueProto.SerializeToString, |
| 83 | + python_values_to_proto_values(numpy_arrays, ValueType.BYTES_LIST), |
| 84 | + ) |
| 85 | + ) |
| 86 | + return df |
| 87 | + |
| 88 | + |
| 89 | +""" |
| 90 | +CREATE OR REPLACE FUNCTION feast_snowflake_array_varchar_to_list_string_proto(df ARRAY) |
| 91 | + RETURNS BINARY |
| 92 | + LANGUAGE PYTHON |
| 93 | + RUNTIME_VERSION = '3.8' |
| 94 | + PACKAGES = ('protobuf', 'pandas') |
| 95 | + HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_varchar_to_list_string_proto' |
| 96 | + IMPORTS = ('@feast_stage/feast.zip'); |
| 97 | +""" |
| 98 | + |
| 99 | + |
| 100 | +@vectorized(input=pandas.DataFrame) |
| 101 | +def feast_snowflake_array_varchar_to_list_string_proto(df): |
| 102 | + sys._xoptions["snowflake_partner_attribution"].append("feast") |
| 103 | + |
| 104 | + df = list( |
| 105 | + map( |
| 106 | + ValueProto.SerializeToString, |
| 107 | + python_values_to_proto_values(df[0].to_numpy(), ValueType.STRING_LIST), |
| 108 | + ) |
| 109 | + ) |
| 110 | + return df |
| 111 | + |
| 112 | + |
| 113 | +""" |
| 114 | +CREATE OR REPLACE FUNCTION feast_snowflake_array_number_to_list_int32_proto(df ARRAY) |
| 115 | + RETURNS BINARY |
| 116 | + LANGUAGE PYTHON |
| 117 | + RUNTIME_VERSION = '3.8' |
| 118 | + PACKAGES = ('protobuf', 'pandas') |
| 119 | + HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_number_to_list_int32_proto' |
| 120 | + IMPORTS = ('@feast_stage/feast.zip'); |
| 121 | +""" |
| 122 | + |
| 123 | + |
| 124 | +@vectorized(input=pandas.DataFrame) |
| 125 | +def feast_snowflake_array_number_to_list_int32_proto(df): |
| 126 | + sys._xoptions["snowflake_partner_attribution"].append("feast") |
| 127 | + |
| 128 | + df = list( |
| 129 | + map( |
| 130 | + ValueProto.SerializeToString, |
| 131 | + python_values_to_proto_values(df[0].to_numpy(), ValueType.INT32_LIST), |
| 132 | + ) |
| 133 | + ) |
| 134 | + return df |
| 135 | + |
| 136 | + |
| 137 | +""" |
| 138 | +CREATE OR REPLACE FUNCTION feast_snowflake_array_number_to_list_int64_proto(df ARRAY) |
| 139 | + RETURNS BINARY |
| 140 | + LANGUAGE PYTHON |
| 141 | + RUNTIME_VERSION = '3.8' |
| 142 | + PACKAGES = ('protobuf', 'pandas') |
| 143 | + HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_number_to_list_int64_proto' |
| 144 | + IMPORTS = ('@feast_stage/feast.zip'); |
| 145 | +""" |
| 146 | + |
| 147 | + |
| 148 | +@vectorized(input=pandas.DataFrame) |
| 149 | +def feast_snowflake_array_number_to_list_int64_proto(df): |
| 150 | + sys._xoptions["snowflake_partner_attribution"].append("feast") |
| 151 | + |
| 152 | + df = list( |
| 153 | + map( |
| 154 | + ValueProto.SerializeToString, |
| 155 | + python_values_to_proto_values(df[0].to_numpy(), ValueType.INT64_LIST), |
| 156 | + ) |
| 157 | + ) |
| 158 | + return df |
| 159 | + |
| 160 | + |
| 161 | +""" |
| 162 | +CREATE OR REPLACE FUNCTION feast_snowflake_array_float_to_list_double_proto(df ARRAY) |
| 163 | + RETURNS BINARY |
| 164 | + LANGUAGE PYTHON |
| 165 | + RUNTIME_VERSION = '3.8' |
| 166 | + PACKAGES = ('protobuf', 'pandas') |
| 167 | + HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_float_to_list_double_proto' |
| 168 | + IMPORTS = ('@feast_stage/feast.zip'); |
| 169 | +""" |
| 170 | + |
| 171 | + |
| 172 | +@vectorized(input=pandas.DataFrame) |
| 173 | +def feast_snowflake_array_float_to_list_double_proto(df): |
| 174 | + sys._xoptions["snowflake_partner_attribution"].append("feast") |
| 175 | + |
| 176 | + numpy_arrays = np.asarray(df[0].to_list()).astype(float) |
| 177 | + |
| 178 | + df = list( |
| 179 | + map( |
| 180 | + ValueProto.SerializeToString, |
| 181 | + python_values_to_proto_values(numpy_arrays, ValueType.DOUBLE_LIST), |
| 182 | + ) |
| 183 | + ) |
| 184 | + return df |
| 185 | + |
| 186 | + |
| 187 | +""" |
| 188 | +CREATE OR REPLACE FUNCTION feast_snowflake_array_boolean_to_list_bool_proto(df ARRAY) |
| 189 | + RETURNS BINARY |
| 190 | + LANGUAGE PYTHON |
| 191 | + RUNTIME_VERSION = '3.8' |
| 192 | + PACKAGES = ('protobuf', 'pandas') |
| 193 | + HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_boolean_to_list_bool_proto' |
| 194 | + IMPORTS = ('@feast_stage/feast.zip'); |
| 195 | +""" |
| 196 | + |
| 197 | + |
| 198 | +@vectorized(input=pandas.DataFrame) |
| 199 | +def feast_snowflake_array_boolean_to_list_bool_proto(df): |
| 200 | + sys._xoptions["snowflake_partner_attribution"].append("feast") |
| 201 | + |
| 202 | + df = list( |
| 203 | + map( |
| 204 | + ValueProto.SerializeToString, |
| 205 | + python_values_to_proto_values(df[0].to_numpy(), ValueType.BOOL_LIST), |
| 206 | + ) |
| 207 | + ) |
| 208 | + return df |
| 209 | + |
| 210 | + |
| 211 | +""" |
| 212 | +CREATE OR REPLACE FUNCTION feast_snowflake_array_timestamp_to_list_unix_timestamp_proto(df ARRAY) |
| 213 | + RETURNS BINARY |
| 214 | + LANGUAGE PYTHON |
| 215 | + RUNTIME_VERSION = '3.8' |
| 216 | + PACKAGES = ('protobuf', 'pandas') |
| 217 | + HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_timestamp_to_list_unix_timestamp_proto' |
| 218 | + IMPORTS = ('@feast_stage/feast.zip'); |
| 219 | +""" |
| 220 | + |
| 221 | + |
| 222 | +@vectorized(input=pandas.DataFrame) |
| 223 | +def feast_snowflake_array_timestamp_to_list_unix_timestamp_proto(df): |
| 224 | + sys._xoptions["snowflake_partner_attribution"].append("feast") |
| 225 | + |
| 226 | + numpy_arrays = np.asarray(df[0].to_list()).astype(np.datetime64) |
| 227 | + |
| 228 | + df = list( |
| 229 | + map( |
| 230 | + ValueProto.SerializeToString, |
| 231 | + python_values_to_proto_values(numpy_arrays, ValueType.UNIX_TIMESTAMP_LIST), |
| 232 | + ) |
| 233 | + ) |
| 234 | + return df |
| 235 | + |
| 236 | + |
62 | 237 | """ |
63 | 238 | CREATE OR REPLACE FUNCTION feast_snowflake_number_to_int32_proto(df NUMBER) |
64 | 239 | RETURNS BINARY |
|
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