Spaces:
Sleeping
Sleeping
Commit ·
8e65d73
1
Parent(s): 1fac04f
added fraud check
Browse files
data.json
ADDED
|
@@ -0,0 +1,334 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"merchant": "TESCO SHREWSBURY CATTLE MARKET",
|
| 4 |
+
"date": "17/10/22",
|
| 5 |
+
"total_amount": 55.3,
|
| 6 |
+
"items": [
|
| 7 |
+
{
|
| 8 |
+
"description": "TAPE MEASURE",
|
| 9 |
+
"amount": 2.1
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"description": "PROTEIN COOKIE",
|
| 13 |
+
"amount": 1.0
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"description": "PROTEIN COOKIE",
|
| 17 |
+
"amount": 1.0
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"description": "CONDOMS",
|
| 21 |
+
"amount": 7.0
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"description": "PROCECCO",
|
| 25 |
+
"amount": 8.0
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"description": "PROCECCO",
|
| 29 |
+
"amount": 8.0
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"description": "SAUVIGNON BLNC",
|
| 33 |
+
"amount": 7.0
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"description": "SAUVIGNON BLNC",
|
| 37 |
+
"amount": 7.0
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"description": "TAPE MEASURE",
|
| 41 |
+
"amount": 2.1
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"description": "SAUVIGNON BLNC",
|
| 45 |
+
"amount": 7.0
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"description": "PROTEIN COOKIE",
|
| 49 |
+
"amount": 1.0
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"description": "PROTEIN COOKIE",
|
| 53 |
+
"amount": 1.0
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"description": "PROTEIN COOKIE",
|
| 57 |
+
"amount": 1.0
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"description": "SAUVIGNON BLNC",
|
| 61 |
+
"amount": 7.0
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"description": "KRONENBOURG",
|
| 65 |
+
"amount": 1.1
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"description": "KRONENBOURG",
|
| 69 |
+
"amount": 1.0
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"fraud_check": false
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"merchant": "TESCO",
|
| 76 |
+
"date": "17/10/22",
|
| 77 |
+
"total_amount": 55.3,
|
| 78 |
+
"items": [
|
| 79 |
+
{
|
| 80 |
+
"description": "TAPE MEASURE",
|
| 81 |
+
"amount": 2.1
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"description": "PROTEIN COOKIE",
|
| 85 |
+
"amount": 1.8
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"description": "PROTEIN COOKIE",
|
| 89 |
+
"amount": 1.8
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"description": "CONDOMS",
|
| 93 |
+
"amount": 10.0
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"description": "PROCECCO",
|
| 97 |
+
"amount": 7.0
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"description": "PROCECCO",
|
| 101 |
+
"amount": 7.0
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"description": "SAUVIGNON BLNC",
|
| 105 |
+
"amount": 7.0
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"description": "SAUVIGNON BLNC",
|
| 109 |
+
"amount": 7.0
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"description": "KRONENBOURG",
|
| 113 |
+
"amount": 4.6
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"description": "TAPE MEASURE",
|
| 117 |
+
"amount": 2.1
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"description": "PROTEIN COOKIE",
|
| 121 |
+
"amount": 1.8
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"description": "PROTEIN COOKIE",
|
| 125 |
+
"amount": 1.8
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"description": "CONDOMS",
|
| 129 |
+
"amount": 10.0
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"description": "SAUVIGNON BLNC",
|
| 133 |
+
"amount": 7.0
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"description": "SAUVIGNON BLNC",
|
| 137 |
+
"amount": 7.0
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"description": "KRONENBOURG",
|
| 141 |
+
"amount": 4.6
|
| 142 |
+
}
|
| 143 |
+
],
|
| 144 |
+
"fraud_check": false
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"merchant": "TESCO SHREWSBURY CATTLE MARKET",
|
| 148 |
+
"date": "17/10/22",
|
| 149 |
+
"total_amount": 55.3,
|
| 150 |
+
"items": [
|
| 151 |
+
{
|
| 152 |
+
"description": "TAPE MEASURE",
|
| 153 |
+
"amount": 2.1
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"description": "PROTEIN COOKIE",
|
| 157 |
+
"amount": 1.8
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"description": "PROTEIN COOKIE",
|
| 161 |
+
"amount": 1.8
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"description": "CONDOMS",
|
| 165 |
+
"amount": 10.0
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"description": "PROCECCO",
|
| 169 |
+
"amount": 7.0
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"description": "PROCECCO",
|
| 173 |
+
"amount": 7.0
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"description": "SAUVIGNON BLNC",
|
| 177 |
+
"amount": 7.0
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"description": "SAUVIGNON BLNC",
|
| 181 |
+
"amount": 7.0
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"description": "KRONENBOURG",
|
| 185 |
+
"amount": 4.6
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"description": "TAPE MEASURE",
|
| 189 |
+
"amount": 2.1
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"description": "PROTEIN COOKIE",
|
| 193 |
+
"amount": 1.8
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"description": "PROTEIN COOKIE",
|
| 197 |
+
"amount": 1.8
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"description": "CONDOMS",
|
| 201 |
+
"amount": 10.0
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"description": "SAUVIGNON BLNC",
|
| 205 |
+
"amount": 7.0
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"description": "SAUVIGNON BLNC",
|
| 209 |
+
"amount": 7.0
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"description": "KRONENBOURG",
|
| 213 |
+
"amount": 4.6
|
| 214 |
+
}
|
| 215 |
+
],
|
| 216 |
+
"fraud_check": false
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"fraud_check": false,
|
| 220 |
+
"merchant": "TESCO SHREWSBURY CATTLE MARKET",
|
| 221 |
+
"date": "17/10/22",
|
| 222 |
+
"total_amount": 55.3,
|
| 223 |
+
"items": [
|
| 224 |
+
{
|
| 225 |
+
"description": "TAPE MEASURE",
|
| 226 |
+
"amount": 2.1
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"description": "PROTEIN COOKIE",
|
| 230 |
+
"amount": 1.8
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"description": "PROTEIN COOKIE",
|
| 234 |
+
"amount": 1.8
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"description": "CONDOMS",
|
| 238 |
+
"amount": 10.0
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"description": "PROCECCO",
|
| 242 |
+
"amount": 7.0
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"description": "PROCECCO",
|
| 246 |
+
"amount": 7.0
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"description": "SAUVIGNON BLNC",
|
| 250 |
+
"amount": 7.0
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"description": "SAUVIGNON BLNC",
|
| 254 |
+
"amount": 7.0
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"description": "KRONENBOURG",
|
| 258 |
+
"amount": 4.6
|
| 259 |
+
}
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"fraud_check": false,
|
| 264 |
+
"merchant": "Tesco",
|
| 265 |
+
"date": "17/10/22",
|
| 266 |
+
"total_amount": 55.3,
|
| 267 |
+
"items": [
|
| 268 |
+
{
|
| 269 |
+
"description": "TAPE MEASURE",
|
| 270 |
+
"amount": 2.1
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"description": "PROTEIN COOKIE",
|
| 274 |
+
"amount": 1.8
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"description": "PROTEIN COOKIE",
|
| 278 |
+
"amount": 1.8
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"description": "CONDOMS",
|
| 282 |
+
"amount": 10.0
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"description": "PROCECCO",
|
| 286 |
+
"amount": 7.0
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"description": "PROCECCO",
|
| 290 |
+
"amount": 7.0
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"description": "SAUVIGNON BLNC",
|
| 294 |
+
"amount": 7.0
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"description": "SAUVIGNON BLNC",
|
| 298 |
+
"amount": 7.0
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"description": "KRONENBOURG",
|
| 302 |
+
"amount": 4.6
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"description": "TAPE MEASURE",
|
| 306 |
+
"amount": 2.1
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"description": "PROTEIN COOKIE",
|
| 310 |
+
"amount": 1.8
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"description": "PROTEIN COOKIE",
|
| 314 |
+
"amount": 1.8
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"description": "CONDOMS",
|
| 318 |
+
"amount": 10.0
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"description": "SAUVIGNON BLNC",
|
| 322 |
+
"amount": 7.0
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"description": "SAUVIGNON BLNC",
|
| 326 |
+
"amount": 7.0
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"description": "KRONENBOURG",
|
| 330 |
+
"amount": 4.6
|
| 331 |
+
}
|
| 332 |
+
]
|
| 333 |
+
}
|
| 334 |
+
]
|
fraud.py
ADDED
|
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
import os
|
| 3 |
+
|
| 4 |
+
DATA_FILE = 'data.json'
|
| 5 |
+
|
| 6 |
+
def load_receipts():
|
| 7 |
+
"""Load all stored receipts from data.json."""
|
| 8 |
+
if not os.path.exists(DATA_FILE):
|
| 9 |
+
print("Data file doesn't exist, returning empty list")
|
| 10 |
+
return []
|
| 11 |
+
|
| 12 |
+
try:
|
| 13 |
+
with open(DATA_FILE, 'r') as f:
|
| 14 |
+
data = json.load(f)
|
| 15 |
+
print(f"Loaded data type: {type(data)}")
|
| 16 |
+
|
| 17 |
+
# Handle case where data.json contains a single object instead of array
|
| 18 |
+
if isinstance(data, dict):
|
| 19 |
+
print("Data is a single dict, wrapping in array")
|
| 20 |
+
return [data]
|
| 21 |
+
elif isinstance(data, list):
|
| 22 |
+
print(f"Data is a list with {len(data)} items")
|
| 23 |
+
return data
|
| 24 |
+
else:
|
| 25 |
+
print("Data is neither dict nor list, returning empty list")
|
| 26 |
+
return []
|
| 27 |
+
except Exception as e:
|
| 28 |
+
print(f"Error loading receipts: {e}")
|
| 29 |
+
return []
|
| 30 |
+
|
| 31 |
+
def save_receipts(receipts):
|
| 32 |
+
"""Save receipts back to data.json."""
|
| 33 |
+
with open(DATA_FILE, 'w') as f:
|
| 34 |
+
json.dump(receipts, f, indent=4)
|
| 35 |
+
|
| 36 |
+
def receipts_are_equal(receipt1, receipt2):
|
| 37 |
+
"""Check if two receipts are the same, comparing only basic fields."""
|
| 38 |
+
print(f"\n=== COMPARING RECEIPTS ===")
|
| 39 |
+
print(f"Receipt1 merchant: {receipt1.get('merchant')}")
|
| 40 |
+
print(f"Receipt2 merchant: {receipt2.get('merchant')}")
|
| 41 |
+
|
| 42 |
+
# Check if both receipts exist
|
| 43 |
+
if not receipt1 or not receipt2:
|
| 44 |
+
print("One or both receipts are empty")
|
| 45 |
+
return False
|
| 46 |
+
|
| 47 |
+
# Check basic fields with special handling for merchant
|
| 48 |
+
merchant1 = receipt1.get('merchant', '').lower()
|
| 49 |
+
merchant2 = receipt2.get('merchant', '').lower()
|
| 50 |
+
date1 = receipt1.get('date')
|
| 51 |
+
date2 = receipt2.get('date')
|
| 52 |
+
amount1 = receipt1.get('total_amount')
|
| 53 |
+
amount2 = receipt2.get('total_amount')
|
| 54 |
+
|
| 55 |
+
print(f"Comparing merchant (lowercase): '{merchant1}' vs '{merchant2}'")
|
| 56 |
+
print(f"Comparing date: '{date1}' vs '{date2}'")
|
| 57 |
+
print(f"Comparing total_amount: '{amount1}' vs '{amount2}'")
|
| 58 |
+
|
| 59 |
+
if merchant1 != merchant2:
|
| 60 |
+
print("Merchant field doesn't match")
|
| 61 |
+
return False
|
| 62 |
+
|
| 63 |
+
if date1 != date2:
|
| 64 |
+
print("Date field doesn't match")
|
| 65 |
+
return False
|
| 66 |
+
|
| 67 |
+
if amount1 != amount2:
|
| 68 |
+
print("Total amount field doesn't match")
|
| 69 |
+
return False
|
| 70 |
+
|
| 71 |
+
print("All basic fields match - receipts are equal")
|
| 72 |
+
return True
|
| 73 |
+
|
| 74 |
+
def is_duplicate(new_receipt, receipts):
|
| 75 |
+
"""Return True if new_receipt is already in receipts."""
|
| 76 |
+
print(f"\n=== CHECKING FOR DUPLICATES ===")
|
| 77 |
+
print(f"Checking new receipt against {len(receipts)} existing receipts")
|
| 78 |
+
|
| 79 |
+
for i, old_receipt in enumerate(receipts):
|
| 80 |
+
print(f"\nChecking against receipt {i}:")
|
| 81 |
+
print(f" Stored: {old_receipt.get('merchant')} - {old_receipt.get('date')} - {old_receipt.get('total_amount')}")
|
| 82 |
+
print(f" New: {new_receipt.get('merchant')} - {new_receipt.get('date')} - {new_receipt.get('total_amount')}")
|
| 83 |
+
|
| 84 |
+
if receipts_are_equal(old_receipt, new_receipt):
|
| 85 |
+
print(f"DUPLICATE FOUND at index {i}!")
|
| 86 |
+
return True
|
| 87 |
+
|
| 88 |
+
print("No duplicates found")
|
| 89 |
+
return False
|
| 90 |
+
|
| 91 |
+
def process_receipt(new_receipt):
|
| 92 |
+
print(f"\n=== PROCESSING RECEIPT ===")
|
| 93 |
+
# Ensure we're working with a dict, not a string
|
| 94 |
+
if isinstance(new_receipt, str):
|
| 95 |
+
try:
|
| 96 |
+
new_receipt = json.loads(new_receipt)
|
| 97 |
+
except:
|
| 98 |
+
return {"error": "Invalid receipt format"}
|
| 99 |
+
|
| 100 |
+
receipts = load_receipts()
|
| 101 |
+
print(f"Loaded {len(receipts)} existing receipts")
|
| 102 |
+
|
| 103 |
+
if is_duplicate(new_receipt, receipts):
|
| 104 |
+
print("SETTING FRAUD CHECK TO TRUE")
|
| 105 |
+
new_receipt['fraud_check'] = True
|
| 106 |
+
# Do not save, just return
|
| 107 |
+
else:
|
| 108 |
+
print("SETTING FRAUD CHECK TO FALSE - SAVING RECEIPT")
|
| 109 |
+
new_receipt['fraud_check'] = False
|
| 110 |
+
receipts.append(new_receipt)
|
| 111 |
+
save_receipts(receipts)
|
| 112 |
+
|
| 113 |
+
return new_receipt
|
| 114 |
+
|
| 115 |
+
# ---- Usage ----
|
| 116 |
+
# new_receipt = { ... } # Your receipt JSON here
|
| 117 |
+
# result = process_receipt(new_receipt)
|
| 118 |
+
# print(result)
|
models.py
CHANGED
|
@@ -6,6 +6,7 @@ class ReceiptItem(BaseModel):
|
|
| 6 |
amount: float
|
| 7 |
|
| 8 |
class ReceiptData(BaseModel):
|
|
|
|
| 9 |
merchant: str
|
| 10 |
date: str
|
| 11 |
total_amount: float
|
|
|
|
| 6 |
amount: float
|
| 7 |
|
| 8 |
class ReceiptData(BaseModel):
|
| 9 |
+
fraud_check: Optional[bool] = False # Optional field for fraud detection
|
| 10 |
merchant: str
|
| 11 |
date: str
|
| 12 |
total_amount: float
|
pipeline.py
CHANGED
|
@@ -7,6 +7,7 @@ import base64
|
|
| 7 |
import json
|
| 8 |
from models import ReceiptData, ChildFeeForm
|
| 9 |
from form_fill import fill_child_fee_pdf
|
|
|
|
| 10 |
|
| 11 |
load_dotenv()
|
| 12 |
openai.api_key = os.getenv("OPENAI_API_KEY", "").strip()
|
|
@@ -20,9 +21,10 @@ reciept_system_prompt = (
|
|
| 20 |
" description: str\n"
|
| 21 |
" amount: float\n\n"
|
| 22 |
"class ReceiptData(BaseModel):\n"
|
| 23 |
-
"
|
|
|
|
| 24 |
" date: str\n"
|
| 25 |
-
" total_amount: float\n"
|
| 26 |
" items: Optional[List[ReceiptItem]] = None\n"
|
| 27 |
"- Extract only the above given information.\n"
|
| 28 |
"- If a value is missing, set it to null, \"\", or an empty list as appropriate.\n"
|
|
@@ -54,14 +56,14 @@ fee_bill_system_prompt = (
|
|
| 54 |
|
| 55 |
|
| 56 |
|
| 57 |
-
def pil_to_bytes(pil_img, quality=
|
| 58 |
buf = BytesIO()
|
| 59 |
pil_img.save(buf, format='JPEG', quality=quality)
|
| 60 |
buf.seek(0)
|
| 61 |
return buf
|
| 62 |
|
| 63 |
|
| 64 |
-
def preprocess_image(pil_img, max_size=
|
| 65 |
return pil_img.resize((max_size, max_size), Image.LANCZOS)
|
| 66 |
|
| 67 |
|
|
@@ -95,10 +97,19 @@ def extract_info(pil_img):
|
|
| 95 |
if raw_output.startswith("json"):
|
| 96 |
raw_output = raw_output[4:].strip()
|
| 97 |
data = json.loads(raw_output)
|
| 98 |
-
print(data)
|
| 99 |
validated = ReceiptData(**data)
|
| 100 |
-
json_block = json.dumps(validated.dict(), indent=2, ensure_ascii=False)
|
| 101 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 102 |
except Exception as e:
|
| 103 |
return f"```json\n{json.dumps({'error': str(e), 'raw_output': raw_output}, indent=2)}\n```"
|
| 104 |
|
|
|
|
| 7 |
import json
|
| 8 |
from models import ReceiptData, ChildFeeForm
|
| 9 |
from form_fill import fill_child_fee_pdf
|
| 10 |
+
from fraud import process_receipt
|
| 11 |
|
| 12 |
load_dotenv()
|
| 13 |
openai.api_key = os.getenv("OPENAI_API_KEY", "").strip()
|
|
|
|
| 21 |
" description: str\n"
|
| 22 |
" amount: float\n\n"
|
| 23 |
"class ReceiptData(BaseModel):\n"
|
| 24 |
+
" fraud_check: Optional[bool] = False # Optional field for fraud detection, always set to false"
|
| 25 |
+
" merchant: str #Only extract the brand name, not the branch name - Only the brand\n"
|
| 26 |
" date: str\n"
|
| 27 |
+
" total_amount: float\n #Try your hardest to find the accurate total amount\n"
|
| 28 |
" items: Optional[List[ReceiptItem]] = None\n"
|
| 29 |
"- Extract only the above given information.\n"
|
| 30 |
"- If a value is missing, set it to null, \"\", or an empty list as appropriate.\n"
|
|
|
|
| 56 |
|
| 57 |
|
| 58 |
|
| 59 |
+
def pil_to_bytes(pil_img, quality=70):
|
| 60 |
buf = BytesIO()
|
| 61 |
pil_img.save(buf, format='JPEG', quality=quality)
|
| 62 |
buf.seek(0)
|
| 63 |
return buf
|
| 64 |
|
| 65 |
|
| 66 |
+
def preprocess_image(pil_img, max_size=812):
|
| 67 |
return pil_img.resize((max_size, max_size), Image.LANCZOS)
|
| 68 |
|
| 69 |
|
|
|
|
| 97 |
if raw_output.startswith("json"):
|
| 98 |
raw_output = raw_output[4:].strip()
|
| 99 |
data = json.loads(raw_output)
|
| 100 |
+
# print(data)
|
| 101 |
validated = ReceiptData(**data)
|
| 102 |
+
# json_block = json.dumps(validated.dict(), indent=2, ensure_ascii=False)
|
| 103 |
+
|
| 104 |
+
validated_dict = validated.dict() # This is a Python dict, perfect for fraud check
|
| 105 |
+
print(validated_dict)
|
| 106 |
+
result = process_receipt(validated_dict) # This expects a dict!
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
result_json = json.dumps(result, indent=2, ensure_ascii=True) # For display
|
| 110 |
+
print(result_json)
|
| 111 |
+
return f"```json\n{result_json}\n```"
|
| 112 |
+
|
| 113 |
except Exception as e:
|
| 114 |
return f"```json\n{json.dumps({'error': str(e), 'raw_output': raw_output}, indent=2)}\n```"
|
| 115 |
|