Skip to content

v1.0.3 #7

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
dennis-mind merged 1 commit into from
Sep 8, 2023
Merged

v1.0.3 #7

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -63,6 +63,8 @@ Full doc: [https://mind-network.gitbook.io/mind-lake-sdk](https://mind-network.g
* Initial Release
* v1.0.1
* Add IPFS support
* v1.0.3
* Change connectors to be class

## License

Expand Down
58 changes: 31 additions & 27 deletions examples/use_case_arweave.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -230,12 +230,12 @@
],
"source": [
"dataPack1 = DataPack(env.walletPrivateKey)\n",
"result = dataPack1.loadFromCSVFileByDefineColumn(fn_local_csv, \n",
" [\n",
"localFile1 = DataPack.LocalFileConnector(columns=[\n",
" DataPack.Column('uid', DataPack.DataType.int4, False),\n",
" DataPack.Column('wallet_address', DataPack.DataType.text, True),\n",
" DataPack.Column('register_date', DataPack.DataType.timestamp, True)\n",
" ])\n",
"result = dataPack1.loadFrom(localFile1, fn_local_csv)\n",
"assert result, result.message\n",
"df = pandas.DataFrame(dataPack1.data)\n",
"df"
Expand Down Expand Up @@ -272,7 +272,8 @@
"print(\"dropTable result:\", result.message)\n",
"\n",
"# upload from local csv into mindlake\n",
"result = dataPack1.saveToMindLake('a_new_table', mindlake)\n",
"mindLakeConnector = DataPack.MindLakeConnector(mindlake)\n",
"result = dataPack1.saveTo(mindLakeConnector, 'a_new_table')\n",
"assert result, result.message\n",
"print(\"a_new_table has been saved to MindLake.\")"
]
Expand Down Expand Up @@ -362,8 +363,8 @@
],
"source": [
"dataPack2 = DataPack(env.walletPrivateKey)\n",
"# make sure if you complete Step 1, so \"a_new_table\" exists in mindlake \n",
"result = dataPack2.loadFromMindByQuery('select * from \"a_new_table\"', mindlake)\n",
"# make sure if you complete Step 1, so \"a_new_table\" exists in mindlake\n",
"result = dataPack2.loadFrom(mindLakeConnector, 'select * from \"a_new_table\"')\n",
"assert result, result.message\n",
"df = pandas.DataFrame(dataPack2.data)\n",
"df"
Expand All @@ -388,24 +389,25 @@
"text": [
"test_table_encrypted.csv has been saved to Arweave.\n",
"\n",
"The Arweave ID is: sMboxrf5U9Z-FM_-woSfiVerz0Lzpa1_OCmRX09Jgn0 \n",
"The Arweave ID is: DwyQeo8B7RdoJlqWNGm1WHiKVh-ua5BmclKu9pdX29w \n",
"\n",
"You can check on Arweave: https://viewblock.io/arweave/tx/sMboxrf5U9Z-FM_-woSfiVerz0Lzpa1_OCmRX09Jgn0\n",
"You can check on Arweave: https://viewblock.io/arweave/tx/DwyQeo8B7RdoJlqWNGm1WHiKVh-ua5BmclKu9pdX29w\n",
"\n",
"And the content on Arweave: https://arseed.web3infra.dev/sMboxrf5U9Z-FM_-woSfiVerz0Lzpa1_OCmRX09Jgn0\n",
"And the content on Arweave: https://arseed.web3infra.dev/DwyQeo8B7RdoJlqWNGm1WHiKVh-ua5BmclKu9pdX29w\n",
"\n",
"The content is:\n",
"uid,wallet_address,register_date\n",
"123,\\x9326bce223092712067ca9dd8d6600fd6d0a8e572261927932f0b222092249804635af229e5bfd2e8ed550fb44539c37fa5f4bc77e48499ce01ed9bec037ea7ddd,\\x992afbd2992fcc46071972b3069b44476bc2316cacbe12a5305839d60ab43dc674\n",
"124,\\x7726950c54dfd2470b9ef8929ee3c049af498bf99a56756f1824f0146fcda22df0bb392959e42a2c8639604ec301425e31844b8a7b847ae486abd29d6594c0ff7c,\\xcdf8811927b22d47aa10e2e8f367e986461d43242b9f81ff62564424d64f958235\n",
"125,\\x72ccfbbd92144aed8bd0763e30f63e68ac99f095a5fdcc3772ea4b35ead34ede8fc891e7b8e73ae5d07e25fc3b801e66bbea0a110e9047b3bccfdddeac8f7cbd51,\\xb8138ce9e9feaff5c610f424cc97dfb44d1809ad31ca830fd15039d9d3124679ac\n",
"123,\\x645039a18f2d0ecfda0049619267f6e4f658d3c8dea202cf2953eaee63894b0b3af0c159a58036cd81d29d4f07d63f75236243d1bbdfd447a90a68e901a62f4153,\\xc9bd351c80b4784cdb1e26b10a8064946eb62b1d53b2b1f42da3092bf6e2cd054f\n",
"124,\\x6e6190fd99e05a04ea63768f435b8913a350876a758869804ae6a8ca824091af8b89b821cb2f9f1a7b4bdf51e90e94d77e41dac7637bf1babcfa7f1ba94f103ff5,\\x69239ddf275ef971a8bd7051988b1f92dd784377df7b4989719322aab31eeb3cb6\n",
"125,\\x54c1c6f1bc35bba9a1903e7774ca3ba6646b2aaf0f4a4b92262f8932b92bfb8d3a1699ebbc6b391e3b19983aa7832be12d75d5bdfe128c094e61b7f0a1dbab2e2c,\\x045d590d0ef821fe691ee42e04d066338392adcaf50627e3335250e9886d1a7c02\n",
"\n"
]
}
],
"source": [
"result = dataPack2.saveToArweave('test_table_encrypted.csv', 'ACNH')\n",
"# result = dataPack2.saveToArweave('test_table_encrypted.csv', 'AR', './arweave_wallet.json')\n",
"arweave1 = DataPack.ArweaveConnector('ACNH', ethWalletPrivateKey=env.walletPrivateKey)\n",
"# arweave = DataPack.ArweaveConnector('AR', arweaveWalletFile='./arweave_wallet.json')\n",
"result = dataPack2.saveTo(arweave1, 'test_table_encrypted.csv')\n",
"assert result, result.message\n",
"print(\"test_table_encrypted.csv has been saved to Arweave.\\n\")\n",
"itemID = result.data\n",
Expand Down Expand Up @@ -504,7 +506,8 @@
],
"source": [
"dataPack3 = DataPack(env.walletPrivateKey)\n",
"result = dataPack3.loadFromArweave(itemID)\n",
"arweave2 = DataPack.ArweaveConnector()\n",
"result = dataPack3.loadFrom(arweave2, itemID)\n",
"assert result, result.message\n",
"print(\"You can see file on Arweave are encrypted, but datapack can decrypted it locally\")\n",
"df = pandas.DataFrame(dataPack3.data)\n",
Expand Down Expand Up @@ -561,35 +564,35 @@
" <tr>\n",
" <th>0</th>\n",
" <td>123</td>\n",
" <td>\\x9c851ae97fd6eeb3ae2437c274274b3d773fcdee11f9...</td>\n",
" <td>\\x44e6bdad517e634a985702320c26770a9275c79aa9b3...</td>\n",
" <td>\\x3c364d7aed8d63b68701fd00feac41435ff456eb307d...</td>\n",
" <td>\\x35bafd055143484471c52153385b7ee5eedc58b09021...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>124</td>\n",
" <td>\\xaddba1e7648b04018dabaceb918cebb436dff5e57e61...</td>\n",
" <td>\\xb5dac593d9436309272b5b56c16d4db24bab7d9e130a...</td>\n",
" <td>\\xbe1d0f00778d9e15e08672f9494a22c11ef870758572...</td>\n",
" <td>\\x25ceb7256dd9ab8ef563ae220c62df39cf13bf3a7d08...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>125</td>\n",
" <td>\\x9afc9f24ec67f79105a340e939be6f1808f5a34495f2...</td>\n",
" <td>\\x755479852b673a2183e1168734e78378fcf81413c3f2...</td>\n",
" <td>\\xa5805d615740ead33874d7036246cc2aee7665901d3c...</td>\n",
" <td>\\xb541751a94f6b5128af3a5939867531ed5736b0fd7c4...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" uid wallet_address \\\n",
"0 123 \\x9c851ae97fd6eeb3ae2437c274274b3d773fcdee11f9... \n",
"1 124 \\xaddba1e7648b04018dabaceb918cebb436dff5e57e61... \n",
"2 125 \\x9afc9f24ec67f79105a340e939be6f1808f5a34495f2... \n",
"0 123 \\x3c364d7aed8d63b68701fd00feac41435ff456eb307d... \n",
"1 124 \\xbe1d0f00778d9e15e08672f9494a22c11ef870758572... \n",
"2 125 \\xa5805d615740ead33874d7036246cc2aee7665901d3c... \n",
"\n",
" register_date \n",
"0 \\x44e6bdad517e634a985702320c26770a9275c79aa9b3... \n",
"1 \\xb5dac593d9436309272b5b56c16d4db24bab7d9e130a... \n",
"2 \\x755479852b673a2183e1168734e78378fcf81413c3f2... "
"0 \\x35bafd055143484471c52153385b7ee5eedc58b09021... \n",
"1 \\x25ceb7256dd9ab8ef563ae220c62df39cf13bf3a7d08... \n",
"2 \\xb541751a94f6b5128af3a5939867531ed5736b0fd7c4... "
]
},
"execution_count": 10,
Expand All @@ -598,7 +601,8 @@
}
],
"source": [
"result = dataPack3.saveToLocalFile('test_localtable_encrypted.csv', False)\n",
"localFile2 = DataPack.LocalFileConnector()\n",
"result = dataPack3.saveTo(localFile2, 'test_localtable_encrypted.csv')\n",
"assert result, result.message\n",
"print(\"test_localtable_encrypted.csv has been saved to local file.\")\n",
"df = pandas.read_csv('test_localtable_encrypted.csv')\n",
Expand Down
56 changes: 30 additions & 26 deletions examples/use_case_ipfs.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -228,12 +228,12 @@
],
"source": [
"dataPack1 = DataPack(env.walletPrivateKey)\n",
"result = dataPack1.loadFromCSVFileByDefineColumn(fn_local_csv, \n",
" [\n",
"localFile1 = DataPack.LocalFileConnector(columns=[\n",
" DataPack.Column('uid', DataPack.DataType.int4, False),\n",
" DataPack.Column('wallet_address', DataPack.DataType.text, True),\n",
" DataPack.Column('register_date', DataPack.DataType.timestamp, True)\n",
" ])\n",
"result = dataPack1.loadFrom(localFile1, fn_local_csv)\n",
"assert result, result.message\n",
"df = pandas.DataFrame(dataPack1.data)\n",
"df"
Expand Down Expand Up @@ -270,7 +270,8 @@
"print(\"dropTable result:\", result.message)\n",
"\n",
"# upload from local csv into mindlake\n",
"result = dataPack1.saveToMindLake('a_new_table', mindlake)\n",
"mindLakeConnector = DataPack.MindLakeConnector(mindlake)\n",
"result = dataPack1.saveTo(mindLakeConnector, 'a_new_table')\n",
"assert result, result.message\n",
"print(\"a_new_table has been saved to MindLake.\")"
]
Expand Down Expand Up @@ -360,8 +361,8 @@
],
"source": [
"dataPack2 = DataPack(env.walletPrivateKey)\n",
"# make sure if you complete Step 1, so \"a_new_table\" exists in mindlake \n",
"result = dataPack2.loadFromMindByQuery('select * from \"a_new_table\"', mindlake)\n",
"# make sure if you complete Step 1, so \"a_new_table\" exists in mindlake\n",
"result = dataPack2.loadFrom(mindLakeConnector, 'select * from \"a_new_table\"')\n",
"assert result, result.message\n",
"df = pandas.DataFrame(dataPack2.data)\n",
"df"
Expand All @@ -386,24 +387,25 @@
"text": [
"test_table_encrypted.csv has been saved to IPFS.\n",
"\n",
"The IPFS ID is: QmYxCi1BBhbch496SDVP58VesPuTnraPgu57S84b1XiteM \n",
"The IPFS ID is: QmU1nri3draq7SAHVAjSx91dEVCw1e1LGdv1NaiepGvTBm \n",
"\n",
"You can check on local IPFS http service: http://127.0.0.1:8080/ipfs/QmYxCi1BBhbch496SDVP58VesPuTnraPgu57S84b1XiteM\n",
"You can check on local IPFS http service: http://127.0.0.1:8080/ipfs/QmU1nri3draq7SAHVAjSx91dEVCw1e1LGdv1NaiepGvTBm\n",
"\n",
"And the content on IPFS: http://127.0.0.1:8080/ipfs/QmYxCi1BBhbch496SDVP58VesPuTnraPgu57S84b1XiteM/test_table_encrypted.csv\n",
"And the content on IPFS: http://127.0.0.1:8080/ipfs/QmU1nri3draq7SAHVAjSx91dEVCw1e1LGdv1NaiepGvTBm/test_table_encrypted.csv\n",
"\n",
"The content is:\n",
"uid,wallet_address,register_date\n",
"123,\\x4810c8a24f2f22243d778860d9ee5180d5375d6cbd22561e568c23bce63f7516d1d2887dcb1993de0133e1d1e002c06b38b56b25d23acac51e24e740f1c6c5e163,\\xf9977c69c6a3d716e615b344f4f66953a4b3d764892a5960460aba34a6c7645943\n",
"124,\\xa7fca7f580180de2e92df9ddf9608c2442dcfa947ba23e3be37bf4764f981670016df19ca4fb3e7295479de368c45122f2cca35d619a402ac28d437cfd0188233f,\\xf06543016d08a89717d34fea65b66b4b8878ae8f411598c3ce3cbde0795a58d2c7\n",
"125,\\xd26a30809f578388dfc97a0262190094c086060a380e7b83a5f2e9bd9cd680a6e272c900921ca7c5824391e4f6bc6854e622f59c0d891152e861ff7ba62f542c40,\\xfa94a16e90f53456b9d053537fed04802514b15a3506055acbbd519e67de1d6e1c\n",
"123,\\x82148bcab7b5c8fc8f81ce8cb79b307d81bfde84e51fa87ae99d56b9985b8b9018b26eff1b96a38cf148ffe1b923b99be3908a7e6d27d57e78d769af6be82dc92d,\\x0776d01ca9ffa39ea95916108147db031025ce9e3ce7f6cba619041b9fe9c247ee\n",
"124,\\x43ad786aca3e01879ee6b7753032842658e6c24a302bf2986b70c247a36bf54724ec914002f930b13fa9de88b072502f887a930b655590090a21d0f6253ab9b5f4,\\xcf0cc270db2108338f9440a0fb810706e31a73b20284226d9bddc40649d66e43f7\n",
"125,\\xe49d212633890b86855d663d90ee71ed323b68f67a53fed837c88f037d5fdb4ef5456e596a88a10a6b3d9c347033e4c0c7e1f566017fed5c49d7546fbf76348c8d,\\xb8ec6581139a9c29ce58c85f094ec53e26a23047d6ea3c73edbdcf57500e9d5de7\n",
"\n"
]
}
],
"source": [
"# make sure you have started IPFS service on your local machine\n",
"result = dataPack2.saveToIPFS('test_table_encrypted.csv')\n",
"ipfs1 = DataPack.IPFSConnector()\n",
"result = dataPack2.saveTo(ipfs1, 'test_table_encrypted.csv')\n",
"assert result, result.message\n",
"print(\"test_table_encrypted.csv has been saved to IPFS.\\n\")\n",
"ipfsHash = result.data\n",
Expand Down Expand Up @@ -502,7 +504,8 @@
],
"source": [
"dataPack3 = DataPack(env.walletPrivateKey)\n",
"result = dataPack3.loadFromIPFS(ipfsHash)\n",
"ipfs2 = DataPack.IPFSConnector()\n",
"result = dataPack3.loadFrom(ipfs2, ipfsHash)\n",
"assert result, result.message\n",
"print(\"You can see file on IPFS are encrypted, but datapack can decrypted it locally\")\n",
"df = pandas.DataFrame(dataPack3.data)\n",
Expand Down Expand Up @@ -559,35 +562,35 @@
" <tr>\n",
" <th>0</th>\n",
" <td>123</td>\n",
" <td>\\x1295126db9fb5f12c77ca17a7b2230509f05ee225d15...</td>\n",
" <td>\\x3f7a44eb7cdd6c1ff9433b4b911a0a400af3aafdc6dd...</td>\n",
" <td>\\x14bb21b7b3105cac85bc84383b3b0b84bf9d0503940d...</td>\n",
" <td>\\x6aa4984ca3bd3682679308b2ef22cf6f12d42698fde0...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>124</td>\n",
" <td>\\x3c9791f3a72caf6f8f4ed8d699c9efd63eccb60961b4...</td>\n",
" <td>\\x83cd814f9a8f2a1e1684a62e64d87f488517526441b3...</td>\n",
" <td>\\x3f87e2905e69ee36419ac126dee7eb23b1b7d3b5ba16...</td>\n",
" <td>\\x9b8355a538a4b2f84824f55d75a098d984145de1371f...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>125</td>\n",
" <td>\\xe2137c5d87fbaa2fe39f2fea8731992ea7a194b90641...</td>\n",
" <td>\\x550d9b3fc3d1edd7866990620a91ac5164c9fe9e30e0...</td>\n",
" <td>\\x7901ba445c75ceb0016914f307707c84a26b655fe7fd...</td>\n",
" <td>\\x7e91fca841863ca2ae32b2b1098b5191fdba7e0e0e6a...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" uid wallet_address \\\n",
"0 123 \\x1295126db9fb5f12c77ca17a7b2230509f05ee225d15... \n",
"1 124 \\x3c9791f3a72caf6f8f4ed8d699c9efd63eccb60961b4... \n",
"2 125 \\xe2137c5d87fbaa2fe39f2fea8731992ea7a194b90641... \n",
"0 123 \\x14bb21b7b3105cac85bc84383b3b0b84bf9d0503940d... \n",
"1 124 \\x3f87e2905e69ee36419ac126dee7eb23b1b7d3b5ba16... \n",
"2 125 \\x7901ba445c75ceb0016914f307707c84a26b655fe7fd... \n",
"\n",
" register_date \n",
"0 \\x3f7a44eb7cdd6c1ff9433b4b911a0a400af3aafdc6dd... \n",
"1 \\x83cd814f9a8f2a1e1684a62e64d87f488517526441b3... \n",
"2 \\x550d9b3fc3d1edd7866990620a91ac5164c9fe9e30e0... "
"0 \\x6aa4984ca3bd3682679308b2ef22cf6f12d42698fde0... \n",
"1 \\x9b8355a538a4b2f84824f55d75a098d984145de1371f... \n",
"2 \\x7e91fca841863ca2ae32b2b1098b5191fdba7e0e0e6a... "
]
},
"execution_count": 10,
Expand All @@ -596,7 +599,8 @@
}
],
"source": [
"result = dataPack3.saveToLocalFile('test_localtable_encrypted.csv', False)\n",
"localFile2 = DataPack.LocalFileConnector()\n",
"result = dataPack3.saveTo(localFile2, 'test_localtable_encrypted.csv')\n",
"assert result, result.message\n",
"print(\"test_localtable_encrypted.csv has been saved to local file.\")\n",
"df = pandas.read_csv('test_localtable_encrypted.csv')\n",
Expand Down
Loading