{
    "info": {
        "author": "Yuki Sawa",
        "author_email": "yukisawa@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
        ],
        "description": "# \ud83c\udffa AWSJar\n[![PyPI version](https://badge.fury.io/py/awsjar.svg)](https://badge.fury.io/py/awsjar)\n[![Downloads](https://pepy.tech/badge/awsjar/month)](https://pepy.tech/project/awsjar)\n[![Python 3.6](https://img.shields.io/badge/python-3.6+-blue.svg)](https://www.python.org/downloads/release/python-360/)\n[![Travis](https://travis-ci.com/ysawa0/awsjar.svg?branch=master)](https://travis-ci.com/ysawa0/awsjar)\n[![Coverage Status](https://coveralls.io/repos/github/ysawa0/awsjar/badge.svg?branch=master)](https://coveralls.io/github/ysawa0/awsjar?branch=master)\n\n<!--\n<a href=\"https://github.com/ambv/black\"><img alt=\"Code style: black\" src=\"https://img.shields.io/badge/code%20style-black-000000.svg\"></a>\n-->\n\n<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/ysawa0/awsjar/master/docs/logo.png\" alt=\"Jar Logo\" width=\"45%\" height=\"45%\"/>\n</p>\n\n\n\ud83c\udffa [AWSJar](https://github.com/ysawa0/awsjar) makes it easy to save data from AWS Lambda.\n\nThe data (either a dict, list, float, int, or string) can be saved within the Lambda itself as an environment variable or on S3.\n\n## Install\n```\npip install awsjar\n```\n\n## Examples\n### Increment a sum with every invocation\n```\nimport awsjar\n\ndef lambda_handler(event, context):\n    jar = awsjar.Jar(context.function_name)\n    data = jar.get()  # Will return an empty dict if state does not already exist.\n\n    s = data.get(\"sum\", 0)\n    data[\"sum\"] = s + 1\n\n    jar.put(data)\n    \n    return data\n```\n### Make sure your website is up 24/7\n```\nimport awsjar\nimport requests\n\n# Set a CloudWatch Event to run this Lambda every minute.\ndef lambda_handler(event, context):\n    jar = awsjar.Jar(context.function_name)\n    data = jar.get()  # Will return an empty dict if state does not already exist.\n    \n    last_status_code = data.get(\"last_status_code\", 200)\n    \n    result = requests.get('http://example.com')\n    cur_status_code = result.status_code\n    \n    if last_status_code != 200 and cur_status_code != 200:\n        print('Website might be down!')\n\n    jar.put({'last_status_code': cur_status_code})\n```\n### Save data to S3\n\n```\nimport awsjar\n\n# Save your data to an S3 object - s3://my-bucket/state.json \nbkt = awsjar.Bucket('my-bucket', key='state.json')\n\ndata = {'num_acorns': 50, 'acorn_hideouts': ['tree', 'lake', 'backyard']}\nbkt.put(data)\n\nstate = bkt.get()\n>> {'num_acorns': 50, 'acorn_hideouts': ['tree', 'lake', 'backyard']}\n```\n\n## How to\n1. [Jar](#jar)\n    1. [Initialization](#jar-init)\n    2. [Save Data](#jar-save-data)\n    2. [Serialize Data](#jar-serialize)\n    2. [IAM Role for Lambda](#jar-iam)\n2. [Bucket](#bucket)\n    1. [Initialization](#bucket-init)\n    2. [Save data](#bucket-save-data)\n    3. [Specifying Keys](#bucket-specify)\n    3. [S3 Versioning](#bucket-version)\n    4. [Serialize Data](#bucket-serialize)\n\n## Jar <a name=\"jar\"/>\nSave your data within the Lambda itself, as an environment variable.\n\nThis method has **no associated costs** but AWS only allows you to **store up to 4KB of data** in the environment variables.\n\nJar can compress the data before storing it, allowing **up to about 8KB of uncompressed data.**\n\nThis may not seem like much, but it can cover a lot of use cases. It's also nice to not have to provision extra resources and keep everything self contained.\nHere's a 7KB list that will fit with Jar. \n```\nx = list(range(1400))\n>> [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399]\njar.put(x)\n``` \n\n### Initialization <a name=\"jar-init\"/>\n```\nimport awsjar\n\n# Cans specify region if testing locally\njar = awsjar.Jar(lambda_name='sams-lambda', region='us-east-1')\n\n# If running the code in Lambda, it will automatically know the proper region it's running in. \njar = awsjar.Jar(lambda_name='sams-lambda')\n\n# Turn on data compression\njar = awsjar.Jar(lambda_name='sams-lambda', compression=True)\n```\n\n### Save data <a name=\"jar-save-data\"/>\n\n```\ndata = {'num_acorns': 50, 'acorn_hideouts': ['tree', 'lake', 'backyard']}\njar.put(data)\n\nstate = jar.get()\n>> {'num_acorns': 50, 'acorn_hideouts': ['tree', 'lake', 'backyard']}\n```\n\n### Serializing data <a name=\"jar-serialize\"/>\nJar comes with datetime encoders/decoders for you to use.\n\nIt uses the standard library json.dumps and json.loads to serialize data so it's possible to write your own encoder/decoders to serialize your data.\n\n[Here's some instructions](https://www.google.com/search?client=firefox-b-1-ab&ei=FrI2XIe9M-Xk9APIzJbwCw&q=python+json+serialize+data&oq=python+json+serialize+data&gs_l=psy-ab.3..0i22i30l2.51201.51646..51753...0.0..0.183.542.3j2......0....1..gws-wiz.......0i71j0i67j0.5HjqPa8O5YE) \n```\nfrom awsjar import Jar, datetime_decoder, datetime_encoder\nfrom datetime import datetime\n\njar = Jar(\n    lambda_name=lambda_name,\n    region=region,\n    decoder=datetime_decoder,\n    encoder=datetime_encoder,\n)\ntime = datetime.now()\n\ndata = {\"list\": [1, 2, 3], \"dt1\": time}\n\njar.put(data)\nx = jar.get()\n>> {\"list\": [1, 2, 3], 'dt1': datetime.datetime(2019, 1, 9, 18, 49, 44, 847202)}\n```\n\n### IAM Role <a name=\"jar-iam\"/>\nAny Lambda using Jar to save to an env var will need these permissions specified in the Role.\n```\n{\n    \"Version\": \"2012-10-17\",\n    \"Statement\": [\n        {\n            \"Sid\": \"VisualEditor0\",\n            \"Effect\": \"Allow\",\n            \"Action\": [\n                \"lambda:UpdateFunctionConfiguration\",\n                \"lambda:GetFunctionConfiguration\"\n            ],\n            \"Resource\": \"*\"\n        }\n    ]\n}\n```\n\n## Bucket <a name=\"bucket\"/>\nSave your data to S3.\n\n### Initialization <a name=\"bucket-init\"/>\n```\nimport awsjar\n\nbkt = awsjar.Bucket(bucket='my-bucket', key='state.json')\n\n# Can specify region if you'd like.\nbkt = awsjar.Bucket(bucket='my-bucket', key='state.json', region='us-east-1')\n\n# This will pretty print any data saved to S3.\nbkt = awsjar.Bucket(bucket='my-bucket', key='state.json', pretty=True)\n```\n\n### Save data <a name=\"bucket-save-data\"/>\n```\ndata = {'num_acorns': 50, 'acorn_hideouts': ['tree', 'lake', 'backyard']}\nbkt.put(data)\n\nstate = bkt.get()\n>> {'num_acorns': 50, 'acorn_hideouts': ['tree', 'lake', 'backyard']}\n\nbkt.delete()  # Delete the object\nbkt.delete(key=\"key123\")  # Delete the object\n```\n\n### Specifying keys <a name=\"bucket-specify\"/>\nYou can specify the key to override the key that was used in initialization.\n```\nbkt = aj.Bucket(bucket='my-bucket', key='state.json')\nbkt.put(['test'])  # Saved to s3://my-bucket/state.json\n\ndata = ['override']\nbkt.put(data, key=\"override.json\")  # Saved to s3://my-bucket/override.json\n\nstate = bkt.get(key=\"override.json\")\n>> ['override']\n```\n\n### Versioning <a name=\"bucket-version\"/>\nS3 has an [eventual consistency data model](https://docs.aws.amazon.com/AmazonS3/latest/dev/Introduction.html#ConsistencyModel)\n\nFor example, this means that getting an object immediately after overwriting it may not return the data you expect.\n\nTo overcome this, enable [versioning](https://docs.aws.amazon.com/AmazonS3/latest/dev/ObjectVersioning.html)\n\nIf an S3 Bucket has versioning enabled, Bucket will detect it automatically and fetch the latest version of an object on any `get()` calls.\n\n```\n# Check versioning status\nbkt.is_versioning_enabled()\n\n# Enable versioning\nbkt.enable_versioning()\n\n# Disable versioning\nbkt.enable_versioning()\n```\n\n### Serializing data <a name=\"bucket-serialize\"/>\nSame as Jar\n\n## Contributing\n\nPlease see the [contributing guide](CONTRIBUTING.md) for more specifics.\n\n## Contact / Support\n\nPlease use the [Issues](https://github.com/ysawa0/awsjar/issues) page\n\nI greatly appreciate any feedback / suggestions! Email me at: yukisawa@gmail.com\n\n## License\n\nDistributed under the Apache License 2.0. See [`LICENSE`](LICENSE) for more information.",
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