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\"hi\"});\n// push a big file and view progress\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"}, {\n progress(percentage, checkpoint) {\n // you can store checkpoint if you want to resume the upload on failure\n console.log(`Uploading ${percentage * 100}% done`);\n },\n partSize = 128 * 1000, // upload in 128kB chunks of data\n retries: 5, // retry up to 5 times\n});\nconst {data} = await geoTiffStorer.get(\"example-key\");\n// useful for HTTP range requests\nconst downloadUrl = await geoTiffStorer.getUrl(\"example-key\");\n```\n\n## Testing\n\nTests are written in mocha.\n\nMake sure to set the environment variables (you can put then into a `.env` file):\n\n```.env\nS3_ID='AWS IAM ACCOUNT ID WITH PERMISSION TO PUSH TO S3'\nS3_SECRET='AWS IAM ACCOUNT SECRET'\nTDX_ID='TDX ID ON NQM-1.COM'\nTDX_SECRET='TDX SECRET ON NQM-1.COM'\nALIYUN_OSS_ID='ALIYUN RAM ACCOUNT ID WITH PERMISSION TO PUSH TO OSS'\nALIYUN_OSS_SECRET='ALIYUN RAM ACCOUNT SECRET'\n```\n\nTests can 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relies on the cropdoc-schemas package, you should use\nlerna to bootstrap this package.\n\n```sh\nnpx lerna bootstrap --scope @nqminds/aliyun-oss-bridge --include-dependencies\n```\n\n## Usage\n\n### Creating/loading config the appropriate TDX Dataset and OSS Bucket\n\n```js\nconst {GeoTiffStorer} = require(\"@nqminds/aliyun-oss-bridge\");\nconst TDXApi = require(\"nqm-api-tdx\");\n\nconst tdxApi = new TDXApi(tdxConfig);\nconst folderId = nqmUtils.shortHash(nqmUtils.constants.applicationServerDataFolderPrefix + tdxAuthentication.id);\nawait tdxApi.authenticate(tdxAuthentication.id, tdxAuthentication.secret);\nconst tdxResourceParams = {\n // schema is automatically injected\n name: \"my-super-cool-example-geotiff-dataset\",\n parentId: folderId, // optional\n tags: [\"geotiff\", \"example\", \"super-cool\"],\n};\nconst bucketParams = {\n bucketProvider = \"AWS_S3\", // or ALIYUN_OSS\n bucketName = \"my-cool-example-geotiff-bucket\",\n region: \"eu-west-1\", // Aliyun endpoints can be found here https://www.alibabacloud.com/help/doc-detail/31837.htm\n accessKeyId: \"MY_SECRET_AWS_LOGIN_ID\",\n secretAccessKey: \"MY_SECRET_AWS_LOGIN_SECRET\",\n};\n// create a new GeoTiffStorer, bucket, and TDX dataset\nlet geoTiffStorer = await GeoTiffStorer.createNew(\n tdxApi, tdxResourceParams, bucketParams,\n);\n// we can use datasetId with the TDXApi to run queries on the metadata\nconst datasetId = geoTiffStorer.datasetId;\n\nconst allCredentials = {\n \"AWS_S3\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n \"ALIYUN_OSS\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n};\n// automatically load the bucket based on an existing dataset stored on the TDX\ngeoTiffStorer = await GeoTiffStorer.fromExistingDataset(\n tdxApi, datasetId, allCredentials\n);\n```\n\n### Uploading and downloading GeoTiffs\n\n```js\n// load geotiff from file\nconst geotiff = await fsPromises.readFile(\"example.tif\");\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"});\n// push a big file and view progress\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"}, {\n progress(percentage, checkpoint) {\n // you can store checkpoint if you want to resume the upload on failure\n console.log(`Uploading ${percentage * 100}% done`);\n },\n partSize = 128 * 1000, // upload in 128kB chunks of data\n retries: 5, // retry up to 5 times\n});\nconst {data} = await geoTiffStorer.get(\"example-key\");\n// useful for HTTP range requests\nconst downloadUrl = await geoTiffStorer.getUrl(\"example-key\");\n```\n\n## Testing\n\nTests are written in mocha.\n\nMake sure to set the environment variables (you can put then into a `.env` file):\n\n```.env\nS3_ID='AWS IAM ACCOUNT ID WITH PERMISSION TO PUSH TO S3'\nS3_SECRET='AWS IAM ACCOUNT SECRET'\nTDX_ID='TDX ID ON NQM-1.COM'\nTDX_SECRET='TDX SECRET ON NQM-1.COM'\nALIYUN_OSS_ID='ALIYUN RAM ACCOUNT ID WITH PERMISSION TO PUSH TO OSS'\nALIYUN_OSS_SECRET='ALIYUN RAM ACCOUNT SECRET'\n```\n\nTests can 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found here https://www.alibabacloud.com/help/doc-detail/31837.htm\n accessKeyId: \"MY_SECRET_AWS_LOGIN_ID\",\n secretAccessKey: \"MY_SECRET_AWS_LOGIN_SECRET\",\n};\n// create a new GeoTiffStorer, bucket, and TDX dataset\nlet geoTiffStorer = await GeoTiffStorer.createNew(\n tdxApi, tdxResourceParams, bucketParams,\n);\n// we can use datasetId with the TDXApi to run queries on the metadata\nconst datasetId = geoTiffStorer.datasetId;\n\nconst allCredentials = {\n \"AWS_S3\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n \"ALIYUN_OSS\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n};\n// automatically load the bucket based on an existing dataset stored on the TDX\ngeoTiffStorer = await GeoTiffStorer.fromExistingDataset(\n tdxApi, datasetId, allCredentials\n);\n```\n\n### Uploading and downloading GeoTiffs\n\n```js\n// load geotiff from file\nconst geotiff = await fsPromises.readFile(\"example.tif\");\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"});\n// push a big file and view progress\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"}, {\n progress(percentage, checkpoint) {\n // you can store checkpoint if you want to resume the upload on failure\n console.log(`Uploading ${percentage * 100}% done`);\n },\n partSize = 128 * 1000, // upload in 128kB chunks of data\n retries: 5, // retry up to 5 times\n});\nconst {data} = await geoTiffStorer.get(\"example-key\");\n// useful for HTTP range requests\nconst downloadUrl = await geoTiffStorer.getUrl(\"example-key\");\n```\n\n## Testing\n\nTests are written in mocha.\n\nMake sure to set the environment variables (you can put then into a `.env` file):\n\n```.env\nS3_ID='AWS IAM ACCOUNT ID WITH PERMISSION TO PUSH TO S3'\nS3_SECRET='AWS IAM ACCOUNT SECRET'\nTDX_ID='TDX ID ON NQM-1.COM'\nTDX_SECRET='TDX SECRET ON NQM-1.COM'\nALIYUN_OSS_ID='ALIYUN RAM ACCOUNT ID WITH PERMISSION TO PUSH TO OSS'\nALIYUN_OSS_SECRET='ALIYUN RAM ACCOUNT SECRET'\n```\n\nTests can 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relies on the cropdoc-schemas package, you should use\nlerna to bootstrap this package.\n\n```sh\nnpx lerna bootstrap --scope @nqminds/aliyun-oss-bridge --include-dependencies\n```\n\n## Usage\n\n### Creating/loading config the appropriate TDX Dataset and OSS Bucket\n\n```js\nconst {GeoTiffStorer} = require(\"@nqminds/aliyun-oss-bridge\");\nconst TDXApi = require(\"nqm-api-tdx\");\n\nconst tdxApi = new TDXApi(tdxConfig);\nconst folderId = nqmUtils.shortHash(nqmUtils.constants.applicationServerDataFolderPrefix + tdxAuthentication.id);\nawait tdxApi.authenticate(tdxAuthentication.id, tdxAuthentication.secret);\nconst tdxResourceParams = {\n // schema is automatically injected\n name: \"my-super-cool-example-geotiff-dataset\",\n parentId: folderId, // optional\n tags: [\"geotiff\", \"example\", \"super-cool\"],\n};\nconst bucketParams = {\n bucketProvider = \"AWS_S3\", // or ALIYUN_OSS\n bucketName = \"my-cool-example-geotiff-bucket\",\n region: \"eu-west-1\", // Aliyun endpoints can be found here https://www.alibabacloud.com/help/doc-detail/31837.htm\n accessKeyId: \"MY_SECRET_AWS_LOGIN_ID\",\n secretAccessKey: \"MY_SECRET_AWS_LOGIN_SECRET\",\n};\n// create a new GeoTiffStorer, bucket, and TDX dataset\nlet geoTiffStorer = await GeoTiffStorer.createNew(\n tdxApi, tdxResourceParams, bucketParams,\n);\n// we can use datasetId with the TDXApi to run queries on the metadata\nconst datasetId = geoTiffStorer.datasetId;\n\nconst allCredentials = {\n \"AWS_S3\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n \"ALIYUN_OSS\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n};\n// automatically load the bucket based on an existing dataset stored on the TDX\ngeoTiffStorer = await GeoTiffStorer.fromExistingDataset(\n tdxApi, datasetId, allCredentials\n);\n```\n\n### Uploading and downloading GeoTiffs\n\n```js\n// load geotiff from file\nconst geotiff = await fsPromises.readFile(\"example.tif\");\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"});\n// push a big file and view progress\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"}, {\n progress(percentage, checkpoint) {\n // you can store checkpoint if you want to resume the upload on failure\n console.log(`Uploading ${percentage * 100}% done`);\n },\n partSize = 128 * 1000, // upload in 128kB chunks of data\n retries: 5, // retry up to 5 times\n});\nconst {data} = await geoTiffStorer.get(\"example-key\");\n// useful for HTTP range requests\nconst downloadUrl = await geoTiffStorer.getUrl(\"example-key\");\n```\n\n## Testing\n\nTests are written in mocha.\n\nMake sure to set the environment variables (you can put then into a `.env` file):\n\n```.env\nS3_ID='AWS IAM ACCOUNT ID WITH PERMISSION TO PUSH TO S3'\nS3_SECRET='AWS IAM ACCOUNT SECRET'\nTDX_ID='TDX ID ON NQM-1.COM'\nTDX_SECRET='TDX SECRET ON NQM-1.COM'\nALIYUN_OSS_ID='ALIYUN RAM ACCOUNT ID WITH PERMISSION TO PUSH TO OSS'\nALIYUN_OSS_SECRET='ALIYUN RAM ACCOUNT SECRET'\n```\n\nTests can 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relies on the cropdoc-schemas package, you should use\nlerna to bootstrap this package.\n\n```sh\nnpx lerna bootstrap --scope @nqminds/aliyun-oss-bridge --include-dependencies\n```\n\n## Usage\n\n### Creating/loading config the appropriate TDX Dataset and OSS Bucket\n\n```js\nconst {GeoTiffStorer} = require(\"@nqminds/aliyun-oss-bridge\");\nconst TDXApi = require(\"nqm-api-tdx\");\n\nconst tdxApi = new TDXApi(tdxConfig);\nconst folderId = nqmUtils.shortHash(nqmUtils.constants.applicationServerDataFolderPrefix + tdxAuthentication.id);\nawait tdxApi.authenticate(tdxAuthentication.id, tdxAuthentication.secret);\nconst tdxResourceParams = {\n // schema is automatically injected\n name: \"my-super-cool-example-geotiff-dataset\",\n parentId: folderId, // optional\n tags: [\"geotiff\", \"example\", \"super-cool\"],\n};\nconst bucketParams = {\n bucketProvider = \"AWS_S3\", // or ALIYUN_OSS\n bucketName = \"my-cool-example-geotiff-bucket\",\n region: \"eu-west-1\", // Aliyun endpoints can be found here https://www.alibabacloud.com/help/doc-detail/31837.htm\n accessKeyId: \"MY_SECRET_AWS_LOGIN_ID\",\n secretAccessKey: \"MY_SECRET_AWS_LOGIN_SECRET\",\n};\n// create a new GeoTiffStorer, bucket, and TDX dataset\nlet geoTiffStorer = await GeoTiffStorer.createNew(\n tdxApi, tdxResourceParams, bucketParams,\n);\n// we can use datasetId with the TDXApi to run queries on the metadata\nconst datasetId = geoTiffStorer.datasetId;\n\nconst allCredentials = {\n \"AWS_S3\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n \"ALIYUN_OSS\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n};\n// automatically load the bucket based on an existing dataset stored on the TDX\ngeoTiffStorer = await GeoTiffStorer.fromExistingDataset(\n tdxApi, datasetId, allCredentials\n);\n```\n\n### Uploading and downloading GeoTiffs\n\n```js\n// load geotiff from file\nconst geotiff = await fsPromises.readFile(\"example.tif\");\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"});\n// push a big file and view progress\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"}, {\n progress(percentage, checkpoint) {\n // you can store checkpoint if you want to resume the upload on failure\n console.log(`Uploading ${percentage * 100}% done`);\n },\n partSize = 128 * 1000, // upload in 128kB chunks of data\n retries: 5, // retry up to 5 times\n});\nconst {data} = await geoTiffStorer.get(\"example-key\");\n// useful for HTTP range requests\nconst downloadUrl = await geoTiffStorer.getUrl(\"example-key\");\n```\n\n## Testing\n\nTests are written in mocha.\n\nMake sure to set the environment variables (you can put then into a `.env` file):\n\n```.env\nS3_ID='AWS IAM ACCOUNT ID WITH PERMISSION TO PUSH TO S3'\nS3_SECRET='AWS IAM ACCOUNT SECRET'\nTDX_ID='TDX ID ON NQM-1.COM'\nTDX_SECRET='TDX SECRET ON NQM-1.COM'\nALIYUN_OSS_ID='ALIYUN RAM ACCOUNT ID WITH PERMISSION TO PUSH TO OSS'\nALIYUN_OSS_SECRET='ALIYUN RAM ACCOUNT SECRET'\n```\n\nTests can 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relies on the cropdoc-schemas package, you should use\nlerna to bootstrap this package.\n\n```sh\nnpx lerna bootstrap --scope @nqminds/aliyun-oss-bridge --include-dependencies\n```\n\n## Usage\n\n### Creating/loading config the appropriate TDX Dataset and OSS Bucket\n\n```js\nconst {GeoTiffStorer} = require(\"@nqminds/aliyun-oss-bridge\");\nconst TDXApi = require(\"nqm-api-tdx\");\n\nconst tdxApi = new TDXApi(tdxConfig);\nconst folderId = nqmUtils.shortHash(nqmUtils.constants.applicationServerDataFolderPrefix + tdxAuthentication.id);\nawait tdxApi.authenticate(tdxAuthentication.id, tdxAuthentication.secret);\nconst tdxResourceParams = {\n // schema is automatically injected\n name: \"my-super-cool-example-geotiff-dataset\",\n parentId: folderId, // optional\n tags: [\"geotiff\", \"example\", \"super-cool\"],\n};\nconst bucketParams = {\n bucketProvider = \"AWS_S3\", // or ALIYUN_OSS\n bucketName = \"my-cool-example-geotiff-bucket\",\n region: \"eu-west-1\", // Aliyun endpoints can be found here https://www.alibabacloud.com/help/doc-detail/31837.htm\n accessKeyId: \"MY_SECRET_AWS_LOGIN_ID\",\n secretAccessKey: \"MY_SECRET_AWS_LOGIN_SECRET\",\n};\n// create a new GeoTiffStorer, bucket, and TDX dataset\nlet geoTiffStorer = await GeoTiffStorer.createNew(\n tdxApi, tdxResourceParams, bucketParams,\n);\n// we can use datasetId with the TDXApi to run queries on the metadata\nconst datasetId = geoTiffStorer.datasetId;\n\nconst allCredentials = {\n \"AWS_S3\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n \"ALIYUN_OSS\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n};\n// automatically load the bucket based on an existing dataset stored on the TDX\ngeoTiffStorer = await GeoTiffStorer.fromExistingDataset(\n tdxApi, datasetId, allCredentials\n);\n```\n\n### Uploading and downloading GeoTiffs\n\n```js\n// load geotiff from file\nconst geotiff = await fsPromises.readFile(\"example.tif\");\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: 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Klink","email":"alois@nquiringminds.com"},"license":"UNLICENSED","homepage":"https://github.com/nqminds/cropdoc/tree/master/packages/aliyun-oss-bridge-server","keywords":["aliyun","oss","bridge","tdx"],"repository":{"url":"git+https://github.com/nqminds/cropdoc.git","type":"git"},"description":"A databot/application that stores metadata on the TDX, but stores data on Aliyun OSS.","contributors":[{"name":"Alois Klink","email":"alois@nqminds.com"},{"name":"iglautier","email":"ivan@nqminds.com"}],"maintainers":[{"email":"ionut@nquiringminds.com","name":"ionut_nqm"},{"email":"npm-bot@nquiringminds.com","name":"nqminds-bot"},{"email":"nqminds@gmail.com","name":"nqminds-org"},{"email":"mereacre@gmail.com","name":"mereacre"},{"email":"antmcc49@gmail.com","name":"antmcc"},{"email":"toby.ealden@gmail.com","name":"toby.ealden"},{"email":"ash@nquiringminds.com","name":"ashleysetter"}],"readme":"# Aliyun OSS Bridge Server\n\nCode for uploading metadata to TDX and actual data to Aliyun OSS or AWS S3.\n\n## Installation\n\nAs this package relies on the cropdoc-schemas package, you should use\nlerna to bootstrap this package.\n\n```sh\nnpx lerna bootstrap --scope @nqminds/aliyun-oss-bridge --include-dependencies\n```\n\n## Usage\n\n### Creating/loading config the appropriate TDX Dataset and OSS Bucket\n\n```js\nconst {GeoTiffStorer} = require(\"@nqminds/aliyun-oss-bridge\");\nconst TDXApi = require(\"nqm-api-tdx\");\n\nconst tdxApi = new TDXApi(tdxConfig);\nconst folderId = nqmUtils.shortHash(nqmUtils.constants.applicationServerDataFolderPrefix + tdxAuthentication.id);\nawait tdxApi.authenticate(tdxAuthentication.id, tdxAuthentication.secret);\nconst tdxResourceParams = {\n // schema is automatically injected\n name: \"my-super-cool-example-geotiff-dataset\",\n parentId: folderId, // optional\n tags: [\"geotiff\", \"example\", \"super-cool\"],\n};\nconst bucketParams = {\n bucketProvider = \"AWS_S3\", // or ALIYUN_OSS\n bucketName = \"my-cool-example-geotiff-bucket\",\n region: \"eu-west-1\", // Aliyun endpoints can be found here https://www.alibabacloud.com/help/doc-detail/31837.htm\n accessKeyId: \"MY_SECRET_AWS_LOGIN_ID\",\n secretAccessKey: \"MY_SECRET_AWS_LOGIN_SECRET\",\n};\n// create a new GeoTiffStorer, bucket, and TDX dataset\nlet geoTiffStorer = await GeoTiffStorer.createNew(\n tdxApi, tdxResourceParams, bucketParams,\n);\n// we can use datasetId with the TDXApi to run queries on the metadata\nconst datasetId = geoTiffStorer.datasetId;\n\nconst allCredentials = {\n \"AWS_S3\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n \"ALIYUN_OSS\": {accessKeyId: \"LOGIN\", secretAccessKey: \"Secret\"},\n};\n// automatically load the bucket based on an existing dataset stored on the TDX\ngeoTiffStorer = await GeoTiffStorer.fromExistingDataset(\n tdxApi, datasetId, allCredentials\n);\n```\n\n### Uploading and downloading GeoTiffs\n\n```js\n// load geotiff from file\nconst geotiff = await fsPromises.readFile(\"example.tif\");\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"});\n// push a big file and view progress\nawait geoTiffStorer.push(geotiff, \"example-key\", {extraMetadata: \"hi\"}, {\n progress(percentage, checkpoint) {\n // you can store checkpoint if you want to resume the upload on failure\n console.log(`Uploading ${percentage * 100}% done`);\n },\n partSize = 128 * 1000, // upload in 128kB chunks of data\n retries: 5, // retry up to 5 times\n});\nconst {data} = await geoTiffStorer.get(\"example-key\");\n// useful for HTTP range requests\nconst downloadUrl = await geoTiffStorer.getUrl(\"example-key\");\n```\n\n## Testing\n\nTests are written in mocha.\n\nMake sure to set the environment variables (you can put then into a `.env` file):\n\n```.env\nS3_ID='AWS IAM ACCOUNT ID WITH PERMISSION TO PUSH TO S3'\nS3_SECRET='AWS IAM ACCOUNT SECRET'\nTDX_ID='TDX ID ON NQM-1.COM'\nTDX_SECRET='TDX SECRET ON NQM-1.COM'\nALIYUN_OSS_ID='ALIYUN RAM ACCOUNT ID WITH PERMISSION TO PUSH TO OSS'\nALIYUN_OSS_SECRET='ALIYUN RAM ACCOUNT SECRET'\n```\n\nTests can be run with:\n\n```\nnpm test\n```\n","readmeFilename":"README.md"}