finished

.vs/VSWorkspaceState.json

@@ -0,0 +1,7 @@
+{
+  "ExpandedNodes": [
+    "",
+    "\\data"
+  ],
+  "PreviewInSolutionExplorer": false
+}

.vs/forage-walmart-task-4/v17/DocumentLayout.backup.json

@@ -0,0 +1,12 @@
+{
+  "Version": 1,
+  "WorkspaceRootPath": "C:\\Users\\chuya\\source\\repos\\forage-walmart-task-4\\",
+  "Documents": [],
+  "DocumentGroupContainers": [
+    {
+      "Orientation": 0,
+      "VerticalTabListWidth": 256,
+      "DocumentGroups": []
+    }
+  ]
+}

.vs/forage-walmart-task-4/v17/DocumentLayout.json

@@ -0,0 +1,12 @@
+{
+  "Version": 1,
+  "WorkspaceRootPath": "C:\\Users\\chuya\\source\\repos\\forage-walmart-task-4\\",
+  "Documents": [],
+  "DocumentGroupContainers": [
+    {
+      "Orientation": 0,
+      "VerticalTabListWidth": 256,
+      "DocumentGroups": []
+    }
+  ]
+}

data/product_data.csv

@@ -0,0 +1,46 @@
+id,name
+1,lotion
+2,windows
+3,skis
+4,bikes
+5,candy
+6,capes
+7,carnivorous plants
+8,shoes
+9,snakes
+10,alternators
+11,motor oil
+12,trampolines
+13,paint
+14,hydroponic equipment
+15,lamps
+16,fruit
+17,balloons
+18,pants
+19,apples
+20,water bottles
+21,pencil sharpeners
+22,yarn
+23,journals
+24,socks
+25,toys
+26,coffee
+27,board games
+28,eggs
+29,calculators
+30,guitars
+31,yoga mats
+32,hvac
+33,pencils
+34,keyboards
+35,earplugs
+36,candles
+37,fishing poles
+38,hats
+39,animal masks
+40,furniture
+41,baby food
+42,microwaves
+43,textbooks
+44,keys
+45,incense

data/shipment_data.csv

@@ -0,0 +1,155 @@
+id,product_id,quantity,origin,destination
+1,1,59,d5566b15-b071-4acf-8e8e-c98433083b2d,50d33715-4c77-4dd9-8b9d-ff1ca372a2a2
+2,2,28,c42f0de8-b4f0-4167-abd1-ae79e5e18eea,172eb8f3-1033-4fb6-b66b-d0df09df3161
+3,3,63,b145f396-de9b-42f1-9cc9-f5b52c3a941c,65e4544d-42ae-4751-9580-bdcb90e5fcda
+4,4,47,f4372224-759f-43b3-bc83-ca6106bba1af,745bee4e-710c-4538-8df1-5c146e1092a6
+5,5,73,49d0edae-9091-41bb-a08d-ab1c66bd08d5,425b7a1a-b744-4c6b-898e-d424dd8cf18e
+6,6,35,b26d55e2-eb75-4bce-89cf-5cee095eaeea,0495233b-9470-4e1a-bb30-a1ee3150c092
+7,7,5,6ae04f04-85df-4b89-b057-5cb0459baab7,b0fcee8c-9047-405c-8316-28a38292be9d
+8,8,85,9a6ee454-f8ca-4a5a-b751-402ce8257b5b,5958bf67-e190-4171-91eb-298b69c89282
+9,9,34,84003744-296e-4294-86a3-8a96439d4ee8,d15bcc56-8948-4c3d-98ae-925d64b3f539
+10,10,88,b23deb12-0dc3-40c3-889c-8e8d3206dc4a,a22439e8-7918-4cae-806a-9f6ae0de6828
+11,11,72,7cd8ea7c-cea3-46fa-a913-724d59233a43,5f3d5c26-5d8b-4e48-88b0-b89d6aa5848d
+12,12,15,446119d3-b86d-4648-93e1-7c9104fe6462,7486257f-61aa-4829-bafa-3d46366ce403
+13,8,68,c42e63e2-e613-45df-9321-09c58bcedcf4,a3421fb8-ec22-489a-b8b2-8760a0474175
+14,13,58,742df199-0e51-44d2-93ba-a5e3885d79ed,2aba8b17-dd45-46e7-84df-701e2f319c1b
+15,14,40,c32eed70-314d-4321-b3f3-ea6c673d1cd7,7563cab2-7380-4b36-a04a-624aa1cdb54c
+16,10,71,2ba7bb1e-3a26-4638-850b-af1689dbf1f8,de08b73c-d432-4a4f-bb30-de1cecebb529
+17,15,76,70aee49a-32ac-4b29-9f05-59de1c043a48,80aae915-f2ef-486d-b074-54106ac01532
+18,16,82,fd861308-291c-435e-a11b-92cbba182fb4,c974d7dc-20af-4058-9383-01cdcd9494ad
+19,17,58,6af1f98f-7555-430a-9d7f-d0f70f1b0a54,e7cb4714-32c9-476b-8af4-e994b391badc
+20,18,83,73608d6a-cc61-4043-b95c-175ba478ba7c,0e00dc18-d5b9-4555-be83-cb7af77f2208
+21,19,11,2316da83-4a83-497c-bdf4-55ca9e8cadb9,6d7f8b2b-42ae-4ff8-8183-26a3257a91a0
+22,15,34,71a28ff5-ef5d-4279-b9b7-8afa7174f579,1e6c05e9-a48c-486c-8143-ed93c11c8b09
+23,20,14,3f9c4c5a-b644-40ed-8c3e-4776bdcac303,ea316ba1-76cb-4139-b609-9c5a6d09563d
+24,21,29,7103af48-0693-401e-a8a9-7063ff0d0722,7bd51828-f481-41de-97ac-8712792b2e57
+25,22,31,fb374a17-e2b4-4274-b777-a09cccc8dc7b,f3a36c1d-ff0a-4ee8-b55b-7d43e8e7a73d
+26,23,57,eea522eb-17c1-42e2-8e33-c33710b7d329,681aa23a-70ea-4b69-babb-3d14009779b3
+27,24,38,23924ca0-acae-4a6a-aa64-8d47b169f078,69542d28-1cc7-439e-abfd-de0ea90636fb
+28,15,48,6307c024-1705-4508-b05f-ac96dba72fca,73511170-19d5-4686-96d7-1dedcc3cb5cf
+29,25,93,9b878a0f-d9e2-47be-bfd2-2fc381dba95a,aeda3a81-6cc3-4f26-8d5d-3abc117f4866
+30,26,82,458efede-2515-46b3-87a4-9fd49e2d711b,b551ee49-8095-4c62-9876-409c029fd625
+31,1,46,a8420740-3acf-4f09-8564-b2c1182b2299,dc95916d-7a45-4bb5-859c-3f2d5ad8ab14
+32,4,8,42929165-b971-4546-b882-8f90e59c3e0f,53ff8d36-3cbd-47a4-9fd5-738e3b547fd7
+33,18,77,53cfa054-aabc-41b6-a357-af13f2dc5770,75a59dfe-7946-4f3e-baaa-bcdf8e9a3026
+34,27,70,7b346de1-fe35-4204-93d2-0cb2600b4213,0d9a9d9f-f2ea-43a0-8289-51baed42f345
+35,17,71,eb1d7193-5c90-4fcf-b41b-a6a3d5f925df,3ff2bcdb-6959-44ca-b3f5-d386e1b2144b
+36,23,52,f47e4ef6-e326-433f-884c-a3802095a502,a2079d4b-3e83-46b1-a176-ea43e2b931d7
+37,14,52,a0d5e405-23fc-4c24-8c7f-bd0b40b3b724,a23f6c7b-888e-4fac-ae5a-1cb2a2ffcbc0
+38,28,62,2ea0f049-e73e-4506-805c-4f12b4a7810b,ad4c02d5-62ae-4ddd-8df2-0a4566b4defe
+39,18,23,6820af07-1d42-417d-97a3-176e30884c33,b5863d0e-93b8-41eb-b237-b92ae20513c2
+40,2,75,48a1b6eb-bac0-4fe8-8dc0-dbf56a49a771,394d1002-25e7-48e0-9c3d-0f0b97eddbae
+41,17,17,c7f14ee0-3187-4d74-8849-714c10e168ba,b7878195-8d8a-439e-a3b7-fc766ceb62ba
+42,7,13,c3681bad-d1a9-4cc4-8d26-b00e51c0c7ee,a22b928a-a5d6-4fe8-9f7a-fab531f9543f
+43,29,13,dc883f1f-7e8f-40bf-a4b0-b41328c675b6,889f6174-2256-4747-9156-8d3a3b0f5406
+44,30,97,68dc7343-9c24-4c9b-bd29-acae05bf399c,dd83a1b4-c569-47a6-a705-8d424dc91fa2
+45,31,31,b21bcc31-0451-4f80-963f-3087de248f8a,11d27aee-b7ce-43ba-8ddb-5a10ae151f8e
+46,32,15,8dbbc936-6d70-46c8-8573-c0ca8825329f,f4cc408a-6f4f-4ebe-87f4-1f6b93ec0bee
+47,26,89,1be3c9a2-37b8-4e24-a360-c4c7cc7ff713,1aa40626-9d29-4a29-a815-7788529a3a74
+48,16,89,d808ffd0-d467-4bcc-8449-9e748b4a04ce,a1316db2-ab92-4569-9538-bf63f43e6a0b
+49,2,52,7e79d23c-8877-4200-aeee-35a5934db1df,c9943890-9047-4346-87b2-77ddbb997350
+50,14,9,4ece87fd-d687-4fa1-a217-7822923a1ade,f609d6d9-d7fa-4f5b-9dec-d4f016d1fa48
+51,6,92,98811bfd-37d0-4895-bbeb-e8235602abbd,3c0effcc-e964-4631-975a-921cc9cda9d5
+52,33,49,cebefc0d-2fb9-4e91-94fe-2fb720e8f058,25615e8c-ea06-491e-bcdf-9865bdd7e5ac
+53,26,88,ff32be02-476b-4616-9dbd-78dd6f3d928b,0d770726-de32-4072-b9d1-87da26be6d42
+54,16,71,b7ae2648-bc18-4b26-87cf-8f68b75a7888,f583d462-eb6a-416a-9c1a-98f496525d88
+55,34,95,11382b86-0769-4f6e-afea-c921397a444a,71f7be6f-ae6a-4232-ad7a-78c3cb77c754
+56,26,42,68da2756-09f4-49fa-b3d9-f6b8798da0ac,a8ffbfd5-dc8b-4ec3-b2bf-c99649303da2
+57,18,49,6656251a-ca70-401b-9dc1-5b5d892ea630,d60fa858-eea6-4807-a25d-638bd793a0a1
+58,35,67,5ebd7a1c-2d62-406e-b2b4-c250625e6287,8397177a-86f1-4da9-802c-e3866867ac94
+59,36,80,8d73d024-6813-44e6-93f2-9ee8cb20718f,fbd86280-4d9c-4c94-a886-8c7046f715b7
+60,20,86,0095d8da-3246-4f33-b76d-990b5ac46dc9,c4c7595f-4d8f-4aaf-b7eb-b1437008ff31
+61,2,50,02e5081e-abf3-4e23-a9ef-47b0949f31b9,c84a77f1-94e7-45e4-b187-640aaa465ca0
+62,37,46,44080c04-3ad0-43bb-a40d-d37e35e032f2,eed45163-9a39-4b1c-8b88-45ec4eb9b6ce
+63,21,92,a6174fda-397f-4e9a-9fed-75166bca2c16,0d8f57e2-cd6a-4e9d-8f16-45723b54be73
+64,38,78,52075ab4-f664-416f-b583-a366b168bc5e,0f4d47b0-f097-4966-9f29-78415e2e9e7c
+65,39,60,43e66a58-b6ef-40da-ac74-6516dd0d6830,922e8e10-7ca8-4c94-b1e5-0249db05a8c1
+66,12,99,e2055730-995c-4180-894f-116aec59bbab,4ab87e71-14af-4e71-9929-36a226282246
+67,23,98,8826333b-cf1f-44ee-98db-cc159e5afa5f,d672e1cf-afe7-43ab-8c37-5494c5865529
+68,40,93,80c0f4e4-3001-4983-91a9-44b1742e6f6b,ceb2015f-39cc-405b-b5d5-85689389a990
+69,6,61,4684e7d3-c044-4a98-80e9-5f43e9ff23d3,9db9f884-b940-428b-b57d-f019859cfbce
+70,22,21,dc85afa8-4888-4e1f-8cdd-470879901108,1ceb1c5d-ec87-43b9-9a8c-2731f3fbd1e2
+71,10,9,d7739dfe-596f-4527-a0ae-83a5b2f32b0d,2d1ab995-977f-4f05-a5e0-80f9d2e8fff7
+72,2,99,f933a1d6-0b38-427a-9fd0-297d8eb94918,6d5ea524-75df-4404-b07b-0df1a9cd0121
+73,38,45,c2503d64-0050-4d35-822c-6a540272fe1a,0f8c5154-7f7b-46ab-ad4d-d5c993e2c84e
+74,6,21,89a6aaff-4a87-400f-915f-9e6f2d263a32,9a614d0d-12bc-4de7-84da-5def82a15c74
+75,34,41,5edca4f4-c65a-4936-8c63-0694ba8245cb,fedd55d5-e1cc-42d4-9a14-c36ba242f32d
+76,30,38,125958b0-d8fd-4dcb-826b-a5f8f39a9956,dd93f3be-7e31-4600-bfab-eab48fac2e30
+77,6,88,2581514a-9e27-4d03-9943-478f2e059151,0c64ec45-1b2c-46a6-a3b8-8b1f9987b8c1
+78,16,88,22b17302-3ea2-4bf4-b5a9-50b4efd0bbc7,990c258c-276b-4e97-8ea8-a6eeb127377b
+79,26,41,c47b1521-0d18-410e-908b-780e91a78118,cf4386a1-9272-4141-884a-089164d72923
+80,16,17,f473d983-eb17-4b62-85fd-76b31540e41d,8ee29392-1b02-4940-801e-3d27c5c0e885
+81,5,21,af1a5839-9736-4c7d-b48c-8c3c560bbf02,cdcac61f-a48e-4de5-bdd6-f6e733716395
+82,41,75,39053f90-0c8f-4e5e-b8b2-4b51c82d7014,5ee93361-df63-45cf-84ea-8102ce020bd5
+83,39,8,d45c1fc9-2b06-4a2b-9625-7a8bda5b2be7,f9bc33c3-399c-497c-9587-59194f9c2bcf
+84,36,42,b7392abc-151f-43fe-97d8-aee98f46f246,cf05fc39-3809-47b1-bf2b-3fb743493575
+85,27,90,ff60676a-e25d-4628-84e9-203c98225944,1a8d7f91-898e-4c9b-9ea3-96b57d6c1c3c
+86,41,80,bad8935d-55aa-49aa-81d9-d42c3410b108,1b9491ef-60f8-480e-b063-060029f6532c
+87,40,61,0338aff7-ed92-4128-9957-24e109b1aa5b,bc0dc730-aab8-4fb1-94ef-24350c6cd850
+88,38,87,7d12aa83-b1c4-4c6c-a3e6-b7cd6f26498c,3ebbac00-534f-4c13-bef0-4b495a264851
+89,20,87,72ea2fbd-b7e1-4c61-8292-a8924d6ee8f0,f87b387f-3709-4406-9839-5045631bd4e4
+90,8,14,a3e21e04-b65b-47da-845a-4cdaf559f5f2,4c4721d5-eabb-44c6-83a2-5b8ea7039e69
+91,16,55,e2ee7c06-c34e-42e7-8e35-055953addca3,9f129880-ede4-4c4d-adbe-c0d04e75cf1c
+92,6,41,aa0823cf-e8a7-4500-934a-b18b42036d2e,b971a15c-87ef-4e79-814d-228534ad2c1a
+93,12,44,a7523398-8ffe-49bb-bec2-ba85709bd3d9,97fab43b-c89a-459c-a700-e5bb645fb557
+94,2,70,e9bee4c1-c56a-4e8e-8e91-79d8f6a98b5b,82982f6a-bf45-443f-84f2-47f9f78fdce9
+95,16,43,d7d52dc6-d13e-4a07-aa6a-934642b20473,b4c2d12a-b9fa-4143-b411-69032cdd5927
+96,8,16,d247fff7-d785-4593-aad9-ddb3f6d0a809,640beb45-2e69-4ff4-b01c-37cd9c0c2427
+97,42,25,e92bc306-314e-4853-8728-0107aa27b936,f94fbe6a-3f7a-4141-8405-9748f55ac880
+98,13,26,333bc679-0295-49cd-ad2e-cbb89a65bd99,b6acb8d3-1efd-4496-b0e7-5f2d4be9ff45
+99,24,40,b7f83fe7-6ae2-4e75-81e1-8440d26778c2,d72c004c-6999-4ffb-b291-1bd581c65d95
+100,8,42,d26316d2-19e2-45c0-9ada-b92ba56a4da2,3343a3b9-be11-4276-bca9-d7f4dd0b40aa
+101,5,84,b65da068-cfdf-4247-84db-91232e610217,d74dc441-1948-4ba8-aeef-843bd074e246
+102,34,14,fc629195-daf2-465a-91bd-330719735bb1,60df7002-bc50-4357-8014-02e42f5a5ab6
+103,35,25,ee0f4141-13ad-4289-a414-f1756a5748ef,3264f6eb-ce55-44da-845b-32cbf99da950
+104,43,39,c6d4e9d1-45a7-4948-9ec6-be687c4b8bba,fdc68f90-b2e4-483b-985d-b237467e8d9a
+105,6,16,bad3d1a2-b14d-4efa-8f81-5270ee921ae6,d7a8eb36-e00d-484f-b21e-a2ab742f8a2a
+106,13,95,d2ee1b75-2218-4753-9487-dcca23d667c6,0a994581-341f-43bf-979d-ece1e58de7ec
+107,9,54,6a6d3fce-c5aa-4154-a6a3-b56cb41f709f,403bf915-a897-4918-933b-3996e144e960
+108,10,20,b19cec0d-357e-4c6b-9257-8be52b1c71b5,d3b17672-60fb-443f-a047-2c379132dcb1
+109,21,7,d2a2460e-00d1-41f2-84cc-eba01eb88d75,b9f78d5b-79ae-441e-9dbf-592767af34a5
+110,19,35,75891066-59b4-437b-951f-ec553fb26b94,28fff0d2-38ea-40a7-b2ef-c2a2f7e69370
+111,18,3,bb75bf7d-c008-4267-bf92-6089cff5fe56,5e9405de-a078-4b00-99c6-96564568b63c
+112,34,2,bb75bf7d-c008-4267-bf92-6089cff5fe56,5e9405de-a078-4b00-99c6-96564568b63c
+113,41,1,372fd2b1-b2a7-4553-b6d7-426a1bc88e56,e34973c8-9ca9-4a06-b497-7a8b49625fc2
+114,13,3,469d957f-28ef-4eac-956a-d2a42b06d3ab,fcadc756-61e9-41bb-871b-d3546c5aa981
+115,20,2,469d957f-28ef-4eac-956a-d2a42b06d3ab,fcadc756-61e9-41bb-871b-d3546c5aa981
+116,23,1,cd140190-a53b-4660-a5b4-cc844a6506f0,89ba200c-ca90-443a-b64f-397bce091eae
+117,1,4,cd140190-a53b-4660-a5b4-cc844a6506f0,89ba200c-ca90-443a-b64f-397bce091eae
+118,34,4,cd140190-a53b-4660-a5b4-cc844a6506f0,89ba200c-ca90-443a-b64f-397bce091eae
+119,1,3,c6addf8b-eea6-43b8-9040-b5620b1a0d99,7aebe820-8478-4a29-a606-7c59af677e24
+120,44,3,c6addf8b-eea6-43b8-9040-b5620b1a0d99,7aebe820-8478-4a29-a606-7c59af677e24
+121,15,3,5d64f731-cb01-4992-a27c-a6e1342f4913,d57d76d8-7dca-4ee4-84c0-1745fb4c8779
+122,14,1,5d64f731-cb01-4992-a27c-a6e1342f4913,d57d76d8-7dca-4ee4-84c0-1745fb4c8779
+123,17,2,5d64f731-cb01-4992-a27c-a6e1342f4913,d57d76d8-7dca-4ee4-84c0-1745fb4c8779
+124,45,3,abc09fec-2fa0-48f6-b7c4-913620785520,52479603-9957-4e4b-91eb-337c358d1755
+125,19,1,abc09fec-2fa0-48f6-b7c4-913620785520,52479603-9957-4e4b-91eb-337c358d1755
+126,5,4,abc09fec-2fa0-48f6-b7c4-913620785520,52479603-9957-4e4b-91eb-337c358d1755
+127,28,2,bb53f18b-e3c5-48c1-900e-e8ed623ca467,1add84b7-14f5-4857-903b-578408246946
+128,12,2,bb53f18b-e3c5-48c1-900e-e8ed623ca467,1add84b7-14f5-4857-903b-578408246946
+129,43,4,bb53f18b-e3c5-48c1-900e-e8ed623ca467,1add84b7-14f5-4857-903b-578408246946
+130,6,1,ee67c3b0-aa89-4b3b-8bbc-9d70695c132b,fa0ce0bb-b0d8-469d-8d42-e1153fc48272
+131,18,2,ee67c3b0-aa89-4b3b-8bbc-9d70695c132b,fa0ce0bb-b0d8-469d-8d42-e1153fc48272
+132,20,4,ee67c3b0-aa89-4b3b-8bbc-9d70695c132b,fa0ce0bb-b0d8-469d-8d42-e1153fc48272
+133,35,2,f04f3daf-8ede-4787-a3ad-6ff06274229d,130208de-fef4-46cd-8b9b-1ea5b939895b
+134,41,2,48c4ca28-4db8-420e-af57-241818a81194,dc042557-cbee-4743-9b72-2c0a34a99cc2
+135,24,1,48c4ca28-4db8-420e-af57-241818a81194,dc042557-cbee-4743-9b72-2c0a34a99cc2
+136,15,2,48c4ca28-4db8-420e-af57-241818a81194,dc042557-cbee-4743-9b72-2c0a34a99cc2
+137,7,1,57001f3e-d6be-4031-9295-a6b208c0ad46,49714439-c858-4e61-b7c6-f4d4c848c46b
+138,43,4,c42221be-4851-42df-9184-1b4f96962bb7,134fb73e-fc99-41e4-92c4-6ecbada5574f
+139,22,3,c42221be-4851-42df-9184-1b4f96962bb7,134fb73e-fc99-41e4-92c4-6ecbada5574f
+140,7,1,c42221be-4851-42df-9184-1b4f96962bb7,134fb73e-fc99-41e4-92c4-6ecbada5574f
+141,25,3,20efa3c2-c498-4908-8af4-f81c76781912,0167b0c3-60fd-4fbd-b378-fba0ceac39ff
+142,28,3,20efa3c2-c498-4908-8af4-f81c76781912,0167b0c3-60fd-4fbd-b378-fba0ceac39ff
+143,9,2,f156fb67-e7e7-448c-b9c3-0b5f0425d134,2ba952cd-d5bf-4bb4-96fe-02fd4e166d12
+144,19,3,f156fb67-e7e7-448c-b9c3-0b5f0425d134,2ba952cd-d5bf-4bb4-96fe-02fd4e166d12
+145,22,2,c44107fb-70a4-4ff2-bedb-48b9ecfd3d6d,479bfe4c-7137-44dd-bb42-a4ab7900aa24
+146,18,1,026ffd7c-cff2-4daa-ae76-6768d3283861,d33a7b5d-15e5-4ba6-93ef-136bbcbf4946
+147,33,4,026ffd7c-cff2-4daa-ae76-6768d3283861,d33a7b5d-15e5-4ba6-93ef-136bbcbf4946
+148,18,5,950db98c-fb0f-4b78-bbee-bf9ae97faeca,5b9e2a68-7967-46e0-8e35-bc993a1f07e6
+149,41,3,950db98c-fb0f-4b78-bbee-bf9ae97faeca,5b9e2a68-7967-46e0-8e35-bc993a1f07e6
+150,24,4,b377e5d5-563f-475d-8c6d-b9f85ad861fd,fa60bc82-665e-4fe0-8f1f-b8a7675c2e2a
+151,10,1,b377e5d5-563f-475d-8c6d-b9f85ad861fd,fa60bc82-665e-4fe0-8f1f-b8a7675c2e2a
+152,34,4,b377e5d5-563f-475d-8c6d-b9f85ad861fd,fa60bc82-665e-4fe0-8f1f-b8a7675c2e2a
+153,39,1,5158fc84-71e0-47a1-84e9-b3e446a391ae,76f02f30-28cd-4f15-88be-9c64860d1fce
+154,40,3,5158fc84-71e0-47a1-84e9-b3e446a391ae,76f02f30-28cd-4f15-88be-9c64860d1fce

insert_data_from_csv.py

@@ -0,0 +1,137 @@
+import sqlite3
+import csv
+
+# Connect to SQLite database
+conn = sqlite3.connect("./shipment_database.db")
+cursor = conn.cursor()
+
+# Process shipping_data_0.csv
+with open("./data/shipping_data_0.csv", 'r') as file:
+    reader = csv.reader(file)
+    next(reader)  # Skip the header row
+    for row in reader:
+        origin_warehouse = row[0]
+        destination_store = row[1]
+        product_name = row[2]
+        product_quantity = int(row[4])
+
+        # Insert product if not exists
+        cursor.execute("INSERT OR IGNORE INTO product (name) VALUES (?)", (product_name,))
+        conn.commit()
+        cursor.execute("SELECT id FROM product WHERE name = ?", (product_name,))
+        product_id_row = cursor.fetchone()
+        if product_id_row:
+            product_id = product_id_row[0]
+
+            # Insert shipment
+            cursor.execute("INSERT INTO shipment (product_id, quantity, origin, destination) VALUES (?, ?, ?, ?)",
+                           (product_id, product_quantity, origin_warehouse, destination_store))
+            conn.commit()
+
+shipment_dictionary = {}
+
+# Process shipping_data_1.csv
+with open("./data/shipping_data_1.csv", 'r') as file:
+    reader = csv.reader(file)
+    next(reader)  # Skip the header row
+    for row in reader:
+        shipment_identifier = row[0]
+        product_name = row[1]
+
+        # Insert product if not exists
+        cursor.execute("INSERT OR IGNORE INTO product (name) VALUES (?)", (product_name,))
+        conn.commit()
+        cursor.execute("SELECT id FROM product WHERE name = ?", (product_name,))
+        product_id_row = cursor.fetchone()
+        if product_id_row:
+            product_id = product_id_row[0]
+
+            if shipment_identifier in shipment_dictionary:
+                if product_id in shipment_dictionary[shipment_identifier]:
+                    shipment_dictionary[shipment_identifier][product_id] += 1
+                else:
+                    shipment_dictionary[shipment_identifier][product_id] = 1
+            else:
+                shipment_dictionary[shipment_identifier] = {product_id: 1}
+
+# Process shipping_data_2.csv
+with open("./data/shipping_data_2.csv", 'r') as file:
+    reader = csv.reader(file)
+    next(reader)  # Skip the header row
+    for row in reader:
+        shipment_identifier = row[0]
+        origin_warehouse = row[1]
+        destination_store = row[2]
+
+        # Insert to database
+        if shipment_identifier in shipment_dictionary:
+            # insert one product for each shipment
+            for product_id in shipment_dictionary[shipment_identifier]:        
+                cursor.execute("INSERT INTO shipment (product_id, quantity, origin, destination) VALUES (?, ?, ?, ?)",
+                               (product_id, shipment_dictionary[shipment_identifier][product_id], origin_warehouse, destination_store))
+                conn.commit()
+
+# Close the connection
+conn.close()
+
+
+# connect sqllite database "./shipment_database.db"
+
+# shipping_data_0 = read "./data/shipping_data_0.csv"
+# skip row 0, start from row 1
+# for each row in shipping_data_0
+#     # retrieve excel data
+#     origin_warehouse = column 0
+#     destination_store = column 1
+#     product_name = column 2
+#     product_quantity = column 4
+
+#     # insert product if not exist    
+#     insert(name) value (product_name) if not exist into product
+#     product_id = select id from product where name = product_name
+
+#     # insert shipment
+#     insert(product_id, quantity, origin, destination) 
+#     value (product_id, product_quantity, origin_warehouse, destination_store)
+#     into shipment
+
+# shipment_dictionary = {}
+
+# shipping_data_1 = read "./data/shipping_data_1.csv"
+# skip row 0, start from row 1
+# for each row in shipping_data_1
+#     # retrieve excel data
+#     shipment_identifier = column 0
+#     product_name = column 1
+
+#     # insert product if not exist    
+#     insert(name) value (product_name) if not exist into product
+#     product_id = select id from product where name = product_name
+
+
+#     if shipment_identifier in shipment_dictionary:
+#         # add product to shipment
+#         if product_id in shipment_dictionary[shipment_identifier]:
+#             shipment_dictionary[shipment_identifier][product_id] += 1
+#         else:
+#             shipment_dictionary[shipment_identifier][product_id] = 1
+#     else:
+#         # create shipment
+#         shipment_dictionary[shipment_identifier][product_id] = 1
+
+
+# shipping_data_2 = read "./data/shipping_data_2.csv"
+# skip row 0, start from row 1
+# for each row in shipping_data_2
+#     # retrieve excel data
+#     shipment_identifier = column 0
+#     origin_warehouse = column 1
+#     destination_store = column 2
+
+#     # insert to database
+#     if shipment_identifier in shipment_dictionary:
+#         # insert one product for each shipment
+#         for product_id in shipment_dictionary[shipment_identifier]:
+#             insert(product_id, quantity, origin, destination) 
+#             value (product_id, shipment_dictionary[shipment_identifier][product_id], origin_warehouse, destination_store)
+#             into shipment