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It currently exposes 4 functions:\n\n### [`js:Sdsify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/sdsify.ttl#L10)\n\nThis processor takes as input a stream non SDS entities (members) and wrap them inside SDS records. Optionally, a type can be specified to indicate the correct subject.\n\n### [`js:Bucketize`](https://github.com/ajuvercr/sds-processors/blob/master/configs/bucketizer.ttl#L10)\n\nThis processor takes as input a stream of SDS records and SDS metadata and proceeds to _bucketize_ them according to a predefined strategy ([see example](https://github.com/ajuvercr/sds-processors/blob/master/bucketizeStrategy.ttl)). The SDS metadata will be also transformed to reflect this transformation. Multiple SDS streams can be present on the incoming data channel.\n\nYou can define bucketizers as follows:\n\n```turtle\n<bucketize> a js:Bucketize;\n  js:channels [\n    js:dataInput <...data input>;\n    js:metadataInput <... metadata input>;\n    js:dataOutput <... data output>;\n    js:metadataOutput <... metadata output>;\n  ];\n  js:bucketizeStrategy ( [            # One or more bucketize strategies\n    a tree:SubjectFragmentation;      # Create a bucket based on this path\n    tree:fragmentationPath ( );\n  ] [\n    a tree:PageFragmentation;         # Create a new bucket when the previous bucket has 2 members\n    tree:pageSize 2;\n  ] );\n  js:savePath <./buckets_save.json>;\n  js:outputStreamId <MyEpicStream>.\n```\n\n\n### [`js:Ldesify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/ldesify.ttl#L10)\n\nThis processor takes a stream of raw entities (e.g., out from a RML transformation process) and creates versioned entities appending the current timestamp to the entity IRI to make it unique. It is capable of keeping a state so that unmodified entities are filtered.\n\n### [`js:Generate`](https://github.com/ajuvercr/sds-processors/blob/be7134a295eb63e17034b2e3ceea0eaf6ad01770/configs/generator.ttl#L19)\n\nThis a simple RDF data generator function used for testing. This processor will periodically generate RDF objects with 3 to 4 predicates.\n","gitHead":"88b20371070505ad7bf81c7dd0d687235ba4cd8a","scripts":{"test":"bun test","build":"tsc"},"_npmUser":{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"},"repository":{"url":"git+https://github.com/ajuvercr/sds-processors.git","type":"git"},"_npmVersion":"10.5.2","description":"[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://","directories":{},"_nodeVersion":"21.7.3","dependencies":{"n3":"^1.17.2","jsonld":"^8.3.1","rdf-lens":"^1.2.5","csv-parse":"^5.5.2","rdf-stores":"^1.0.0","@treecg/types":"^0.4.5","extract-cbd-shape":"^0.1.4","@treecg/bucketizers":"^2.1.13"},"_hasShrinkwrap":false,"readmeFilename":"README.md","devDependencies":{"@types/n3":"^1.16.3","typescript":"^5.2.2","@types/node":"^20.8.9","@rdfjs/types":"^1.1.0","@jest/globals":"^29.7.0","@types/jsonld":"^1.5.11","@types/rdf-js":"^4.0.2","@ajuvercr/js-runner":"^0.2.0-alpha.0"},"_npmOperationalInternal":{"tmp":"tmp/sds-processors_0.3.0-alpha.1_1714046257332_0.40057674007854693","host":"s3://npm-registry-packages"},"deprecated":"This package has been renamed. Install using @rdfc/sds-processors-ts instead"},"0.3.0-alpha.2":{"name":"sds-processors","version":"0.3.0-alpha.2","author":{"name":"Arthur Vercruysse"},"license":"MIT","_id":"sds-processors@0.3.0-alpha.2","maintainers":[{"name":"julianrojas87","email":"julian.rojas87@gmail.com"},{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"}],"contributors":[{"name":"Julián Rojas"}],"homepage":"https://github.com/ajuvercr/sds-processors#readme","bugs":{"url":"https://github.com/ajuvercr/sds-processors/issues"},"dist":{"shasum":"6c679c82dd6afaec6f3def82ef9c9b86c2764db5","tarball":"https://registry.npmjs.org/sds-processors/-/sds-processors-0.3.0-alpha.2.tgz","fileCount":37,"integrity":"sha512-HLiDvWqvWvWbQpWGGqHHNVjD+TmARDMU/pL1tlo+6FXmP4D7JzBd/qQGAjhbMDU/C8g8K0pzagPp1QqeyJhcCw==","signatures":[{"sig":"MEQCIHcidI9lYbKmz9TTV8Cel1vJMWfQ3yeiZpSSpPcHlCHxAiBprLx3K8ZH8kQzSaJOXM9Sl9yEMwGemM8+yfT0RJsplg==","keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA"}],"unpackedSize":64193},"main":"./lib/index.js","type":"module","types":"./lib/index.d.ts","readme":"# sds-processors\n\n[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://npmjs.com/package/sds-processors)\n\n[Connector Architecture](https://the-connector-architecture.github.io/site/docs/1_Home) Typescript processors for handling operations over [SDS streams](https://treecg.github.io/SmartDataStreams-Spec/). It currently exposes 4 functions:\n\n### [`js:Sdsify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/sdsify.ttl#L10)\n\nThis processor takes as input a stream non SDS entities (members) and wrap them inside SDS records. Optionally, a type can be specified to indicate the correct subject.\n\n### [`js:Bucketize`](https://github.com/ajuvercr/sds-processors/blob/master/configs/bucketizer.ttl#L10)\n\nThis processor takes as input a stream of SDS records and SDS metadata and proceeds to _bucketize_ them according to a predefined strategy ([see example](https://github.com/ajuvercr/sds-processors/blob/master/bucketizeStrategy.ttl)). The SDS metadata will be also transformed to reflect this transformation. Multiple SDS streams can be present on the incoming data channel.\n\nYou can define bucketizers as follows:\n\n```turtle\n<bucketize> a js:Bucketize;\n  js:channels [\n    js:dataInput <...data input>;\n    js:metadataInput <... metadata input>;\n    js:dataOutput <... data output>;\n    js:metadataOutput <... metadata output>;\n  ];\n  js:bucketizeStrategy ( [            # One or more bucketize strategies\n    a tree:SubjectFragmentation;      # Create a bucket based on this path\n    tree:fragmentationPath ( );\n  ] [\n    a tree:PageFragmentation;         # Create a new bucket when the previous bucket has 2 members\n    tree:pageSize 2;\n  ] );\n  js:savePath <./buckets_save.json>;\n  js:outputStreamId <MyEpicStream>.\n```\n\n\n### [`js:Ldesify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/ldesify.ttl#L10)\n\nThis processor takes a stream of raw entities (e.g., out from a RML transformation process) and creates versioned entities appending the current timestamp to the entity IRI to make it unique. It is capable of keeping a state so that unmodified entities are filtered.\n\n### [`js:Generate`](https://github.com/ajuvercr/sds-processors/blob/be7134a295eb63e17034b2e3ceea0eaf6ad01770/configs/generator.ttl#L19)\n\nThis a simple RDF data generator function used for testing. This processor will periodically generate RDF objects with 3 to 4 predicates.\n","gitHead":"e6a83f5aa54ac78b69c8fa8810a3e0e364315ec8","scripts":{"test":"bun test","build":"tsc"},"_npmUser":{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"},"repository":{"url":"git+https://github.com/ajuvercr/sds-processors.git","type":"git"},"_npmVersion":"10.5.2","description":"[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://","directories":{},"_nodeVersion":"21.7.3","dependencies":{"n3":"^1.17.2","jsonld":"^8.3.1","rdf-lens":"^1.2.6","csv-parse":"^5.5.2","rdf-stores":"^1.0.0","@treecg/types":"^0.4.5","extract-cbd-shape":"^0.1.4","@treecg/bucketizers":"^2.1.13"},"_hasShrinkwrap":false,"readmeFilename":"README.md","devDependencies":{"@types/n3":"^1.16.3","typescript":"^5.2.2","@types/node":"^20.8.9","@rdfjs/types":"^1.1.0","@jest/globals":"^29.7.0","@types/jsonld":"^1.5.11","@types/rdf-js":"^4.0.2","@ajuvercr/js-runner":"^0.2.0-alpha.0"},"_npmOperationalInternal":{"tmp":"tmp/sds-processors_0.3.0-alpha.2_1714046772095_0.9240805339110423","host":"s3://npm-registry-packages"},"deprecated":"This package has been renamed. Install using @rdfc/sds-processors-ts instead"},"0.4.0-alpha.1":{"name":"sds-processors","version":"0.4.0-alpha.1","author":{"name":"Arthur Vercruysse"},"license":"MIT","_id":"sds-processors@0.4.0-alpha.1","maintainers":[{"name":"julianrojas87","email":"julian.rojas87@gmail.com"},{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"}],"contributors":[{"name":"Julián Rojas"}],"homepage":"https://github.com/ajuvercr/sds-processors#readme","bugs":{"url":"https://github.com/ajuvercr/sds-processors/issues"},"dist":{"shasum":"36e6a77b05442f3441b3e98af9f244a64d0f90a5","tarball":"https://registry.npmjs.org/sds-processors/-/sds-processors-0.4.0-alpha.1.tgz","fileCount":37,"integrity":"sha512-RBD9DFrufPQWsOuI7qigsGkCPkwTY8eDP9uZ9bSFO/DnYYN8lLAyDpAFSnztqW/k0aB3dQrasP/1W4wTribA1w==","signatures":[{"sig":"MEUCIAovxO2qU2x3BSshcfiei9BfQcK2us6prrtErCrtkPLcAiEAwKCXkV7dIMzgqwh9c9GOndxLGhrtvnUUlboO0iR1xxM=","keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA"}],"unpackedSize":64193},"main":"./lib/index.js","type":"module","types":"./lib/index.d.ts","readme":"# sds-processors\n\n[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://npmjs.com/package/sds-processors)\n\n[Connector Architecture](https://the-connector-architecture.github.io/site/docs/1_Home) Typescript processors for handling operations over [SDS streams](https://treecg.github.io/SmartDataStreams-Spec/). It currently exposes 4 functions:\n\n### [`js:Sdsify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/sdsify.ttl#L10)\n\nThis processor takes as input a stream non SDS entities (members) and wrap them inside SDS records. Optionally, a type can be specified to indicate the correct subject.\n\n### [`js:Bucketize`](https://github.com/ajuvercr/sds-processors/blob/master/configs/bucketizer.ttl#L10)\n\nThis processor takes as input a stream of SDS records and SDS metadata and proceeds to _bucketize_ them according to a predefined strategy ([see example](https://github.com/ajuvercr/sds-processors/blob/master/bucketizeStrategy.ttl)). The SDS metadata will be also transformed to reflect this transformation. Multiple SDS streams can be present on the incoming data channel.\n\nYou can define bucketizers as follows:\n\n```turtle\n<bucketize> a js:Bucketize;\n  js:channels [\n    js:dataInput <...data input>;\n    js:metadataInput <... metadata input>;\n    js:dataOutput <... data output>;\n    js:metadataOutput <... metadata output>;\n  ];\n  js:bucketizeStrategy ( [            # One or more bucketize strategies\n    a tree:SubjectFragmentation;      # Create a bucket based on this path\n    tree:fragmentationPath ( );\n  ] [\n    a tree:PageFragmentation;         # Create a new bucket when the previous bucket has 2 members\n    tree:pageSize 2;\n  ] );\n  js:savePath <./buckets_save.json>;\n  js:outputStreamId <MyEpicStream>.\n```\n\n\n### [`js:Ldesify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/ldesify.ttl#L10)\n\nThis processor takes a stream of raw entities (e.g., out from a RML transformation process) and creates versioned entities appending the current timestamp to the entity IRI to make it unique. It is capable of keeping a state so that unmodified entities are filtered.\n\n### [`js:Generate`](https://github.com/ajuvercr/sds-processors/blob/be7134a295eb63e17034b2e3ceea0eaf6ad01770/configs/generator.ttl#L19)\n\nThis a simple RDF data generator function used for testing. This processor will periodically generate RDF objects with 3 to 4 predicates.\n","gitHead":"e6a83f5aa54ac78b69c8fa8810a3e0e364315ec8","scripts":{"test":"bun test","build":"tsc"},"_npmUser":{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"},"repository":{"url":"git+https://github.com/ajuvercr/sds-processors.git","type":"git"},"_npmVersion":"10.5.2","description":"[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://","directories":{},"_nodeVersion":"21.7.3","dependencies":{"n3":"^1.17.2","jsonld":"^8.3.1","rdf-lens":"^1.2.6","csv-parse":"^5.5.2","rdf-stores":"^1.0.0","@treecg/types":"^0.4.5","extract-cbd-shape":"^0.1.4","@treecg/bucketizers":"^2.1.13"},"_hasShrinkwrap":false,"readmeFilename":"README.md","devDependencies":{"@types/n3":"^1.16.3","typescript":"^5.2.2","@types/node":"^20.8.9","@rdfjs/types":"^1.1.0","@jest/globals":"^29.7.0","@types/jsonld":"^1.5.11","@types/rdf-js":"^4.0.2","@ajuvercr/js-runner":"^0.2.0-alpha.0"},"_npmOperationalInternal":{"tmp":"tmp/sds-processors_0.4.0-alpha.1_1714048166207_0.8765366149810847","host":"s3://npm-registry-packages"},"deprecated":"This package has been renamed. Install using @rdfc/sds-processors-ts instead"},"0.4.0-alpha.3":{"name":"sds-processors","version":"0.4.0-alpha.3","author":{"name":"Arthur Vercruysse"},"license":"MIT","_id":"sds-processors@0.4.0-alpha.3","maintainers":[{"name":"julianrojas87","email":"julian.rojas87@gmail.com"},{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"}],"contributors":[{"name":"Julián Rojas"}],"homepage":"https://github.com/ajuvercr/sds-processors#readme","bugs":{"url":"https://github.com/ajuvercr/sds-processors/issues"},"dist":{"shasum":"31e02dc81288cd74865597c2152804372e469ed6","tarball":"https://registry.npmjs.org/sds-processors/-/sds-processors-0.4.0-alpha.3.tgz","fileCount":37,"integrity":"sha512-sq76cP5W/mlzC4ih31Bd5gBOI0dzMtY2dMZMQ1lBJsGY6Gfju10gusPbRGfQjmWOy3LbLdMMO+Mca3XN1/XbDQ==","signatures":[{"sig":"MEYCIQC/uzWSkShGN5Bayrt8IRF9R5bNN4/bYtUiG72BETFbwwIhAJQVNyudO9XWpKPOfpYynzblKYDOXni/aPfH63sEoGRw","keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA"}],"unpackedSize":64005},"main":"./lib/index.js","type":"module","types":"./lib/index.d.ts","readme":"# sds-processors\n\n[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://npmjs.com/package/sds-processors)\n\n[Connector Architecture](https://the-connector-architecture.github.io/site/docs/1_Home) Typescript processors for handling operations over [SDS streams](https://treecg.github.io/SmartDataStreams-Spec/). It currently exposes 4 functions:\n\n### [`js:Sdsify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/sdsify.ttl#L10)\n\nThis processor takes as input a stream non SDS entities (members) and wrap them inside SDS records. Optionally, a type can be specified to indicate the correct subject.\n\n### [`js:Bucketize`](https://github.com/ajuvercr/sds-processors/blob/master/configs/bucketizer.ttl#L10)\n\nThis processor takes as input a stream of SDS records and SDS metadata and proceeds to _bucketize_ them according to a predefined strategy ([see example](https://github.com/ajuvercr/sds-processors/blob/master/bucketizeStrategy.ttl)). The SDS metadata will be also transformed to reflect this transformation. Multiple SDS streams can be present on the incoming data channel.\n\nYou can define bucketizers as follows:\n\n```turtle\n<bucketize> a js:Bucketize;\n  js:channels [\n    js:dataInput <...data input>;\n    js:metadataInput <... metadata input>;\n    js:dataOutput <... data output>;\n    js:metadataOutput <... metadata output>;\n  ];\n  js:bucketizeStrategy ( [            # One or more bucketize strategies\n    a tree:SubjectFragmentation;      # Create a bucket based on this path\n    tree:fragmentationPath ( );\n  ] [\n    a tree:PageFragmentation;         # Create a new bucket when the previous bucket has 2 members\n    tree:pageSize 2;\n  ] );\n  js:savePath <./buckets_save.json>;\n  js:outputStreamId <MyEpicStream>.\n```\n\n\n### [`js:Ldesify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/ldesify.ttl#L10)\n\nThis processor takes a stream of raw entities (e.g., out from a RML transformation process) and creates versioned entities appending the current timestamp to the entity IRI to make it unique. It is capable of keeping a state so that unmodified entities are filtered.\n\n### [`js:Generate`](https://github.com/ajuvercr/sds-processors/blob/be7134a295eb63e17034b2e3ceea0eaf6ad01770/configs/generator.ttl#L19)\n\nThis a simple RDF data generator function used for testing. This processor will periodically generate RDF objects with 3 to 4 predicates.\n","gitHead":"e6a83f5aa54ac78b69c8fa8810a3e0e364315ec8","scripts":{"test":"bun test","build":"tsc"},"_npmUser":{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"},"repository":{"url":"git+https://github.com/ajuvercr/sds-processors.git","type":"git"},"_npmVersion":"10.5.2","description":"[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://","directories":{},"_nodeVersion":"21.7.3","dependencies":{"n3":"^1.17.2","jsonld":"^8.3.1","rdf-lens":"^1.2.6","csv-parse":"^5.5.2","rdf-stores":"^1.0.0","@treecg/types":"^0.4.5","extract-cbd-shape":"^0.1.4","@treecg/bucketizers":"^2.1.13"},"_hasShrinkwrap":false,"readmeFilename":"README.md","devDependencies":{"@types/n3":"^1.16.3","typescript":"^5.2.2","@types/node":"^20.8.9","@rdfjs/types":"^1.1.0","@jest/globals":"^29.7.0","@types/jsonld":"^1.5.11","@types/rdf-js":"^4.0.2","@ajuvercr/js-runner":"^0.2.0-alpha.0"},"_npmOperationalInternal":{"tmp":"tmp/sds-processors_0.4.0-alpha.3_1714049331541_0.4846078364263924","host":"s3://npm-registry-packages"},"deprecated":"This package has been renamed. Install using @rdfc/sds-processors-ts instead"},"0.4.0-alpha.4":{"name":"sds-processors","version":"0.4.0-alpha.4","author":{"name":"Arthur Vercruysse"},"license":"MIT","_id":"sds-processors@0.4.0-alpha.4","maintainers":[{"name":"julianrojas87","email":"julian.rojas87@gmail.com"},{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"}],"contributors":[{"name":"Julián Rojas"}],"homepage":"https://github.com/ajuvercr/sds-processors#readme","bugs":{"url":"https://github.com/ajuvercr/sds-processors/issues"},"dist":{"shasum":"122cb6606b1ec6f6e10a3df9eeac5b3d4e1877ec","tarball":"https://registry.npmjs.org/sds-processors/-/sds-processors-0.4.0-alpha.4.tgz","fileCount":36,"integrity":"sha512-1fzSLgd65xjsBtvkPbJGXn9+vceu6tjZfWBiDMmMr7do4eTLGojp9p5b7fUeRaizo4+3SejGqFsV/YRR6Ei1QQ==","signatures":[{"sig":"MEUCIQCUE35fYF+MlIJjsrW1R3cVmDythTcoGfEchrr1Qzjn4AIgVHhKrZVyx3pkNncVPUheRO8rPi42Kz/W/sl2Y2vOr2M=","keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA"}],"unpackedSize":103565},"main":"./lib/index.js","type":"module","types":"./lib/index.d.ts","readme":"# sds-processors\n\n[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://npmjs.com/package/sds-processors)\n\n[Connector Architecture](https://the-connector-architecture.github.io/site/docs/1_Home) Typescript processors for handling operations over [SDS streams](https://treecg.github.io/SmartDataStreams-Spec/). It currently exposes 4 functions:\n\n### [`js:Sdsify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/sdsify.ttl#L10)\n\nThis processor takes as input a stream non SDS entities (members) and wrap them inside SDS records. Optionally, a type can be specified to indicate the correct subject.\n\n### [`js:Bucketize`](https://github.com/ajuvercr/sds-processors/blob/master/configs/bucketizer.ttl#L10)\n\nThis processor takes as input a stream of SDS records and SDS metadata and proceeds to _bucketize_ them according to a predefined strategy ([see example](https://github.com/ajuvercr/sds-processors/blob/master/bucketizeStrategy.ttl)). The SDS metadata will be also transformed to reflect this transformation. Multiple SDS streams can be present on the incoming data channel.\n\nYou can define bucketizers as follows:\n\n```turtle\n<bucketize> a js:Bucketize;\n  js:channels [\n    js:dataInput <...data input>;\n    js:metadataInput <... metadata input>;\n    js:dataOutput <... data output>;\n    js:metadataOutput <... metadata output>;\n  ];\n  js:bucketizeStrategy ( [            # One or more bucketize strategies\n    a tree:SubjectFragmentation;      # Create a bucket based on this path\n    tree:fragmentationPath ( );\n  ] [\n    a tree:PageFragmentation;         # Create a new bucket when the previous bucket has 2 members\n    tree:pageSize 2;\n  ] );\n  js:savePath <./buckets_save.json>;\n  js:outputStreamId <MyEpicStream>.\n```\n\n\n### [`js:Ldesify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/ldesify.ttl#L10)\n\nThis processor takes a stream of raw entities (e.g., out from a RML transformation process) and creates versioned entities appending the current timestamp to the entity IRI to make it unique. It is capable of keeping a state so that unmodified entities are filtered.\n\n### [`js:Generate`](https://github.com/ajuvercr/sds-processors/blob/be7134a295eb63e17034b2e3ceea0eaf6ad01770/configs/generator.ttl#L19)\n\nThis a simple RDF data generator function used for testing. This processor will periodically generate RDF objects with 3 to 4 predicates.\n\n","gitHead":"c65427b2bd53aa33e0c8efaefd00feb3ed524216","scripts":{"test":"vitest run --coverage --coverage.include src","build":"tsc && tsc-alias","prepare":"husky"},"_npmUser":{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"},"repository":{"url":"git+https://github.com/ajuvercr/sds-processors.git","type":"git"},"_npmVersion":"10.7.0","description":"[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://","directories":{},"_nodeVersion":"21.7.3","dependencies":{"n3":"^1.17.2","jsonld":"^8.3.1","rdf-lens":"^1.2.6","csv-parse":"^5.5.2","rdf-stores":"^1.0.0","@treecg/types":"^0.4.5","extract-cbd-shape":"^0.1.4"},"_hasShrinkwrap":false,"readmeFilename":"README.md","devDependencies":{"husky":"^9.0.11","dotenv":"^16.4.5","eslint":"^8.57.0","vitest":"^1.4.0","ts-node":"^10.9.2","prettier":"^3.2.5","@types/n3":"^1.16.3","tsc-alias":"^1.8.8","typescript":"^5.4.3","@types/node":"^20.8.9","lint-staged":"^15.2.2","@rdfjs/types":"^1.1.0","@types/jsonld":"^1.5.11","@types/rdf-js":"^4.0.2","@ajuvercr/js-runner":"^0.2.0-alpha.0","@vitest/coverage-v8":"^1.4.0","vite-tsconfig-paths":"^4.3.2","eslint-config-prettier":"^9.1.0","@typescript-eslint/parser":"^7.4.0","@typescript-eslint/eslint-plugin":"^7.5.0"},"_npmOperationalInternal":{"tmp":"tmp/sds-processors_0.4.0-alpha.4_1715856759147_0.835264129592026","host":"s3://npm-registry-packages"},"deprecated":"This package has been renamed. 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It currently exposes 4 functions:\n\n### [`js:Sdsify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/sdsify.ttl#L10)\n\nThis processor takes as input a stream non SDS entities (members) and wrap them inside SDS records. Optionally, a type can be specified to indicate the correct subject.\n\n### [`js:Bucketize`](https://github.com/ajuvercr/sds-processors/blob/master/configs/bucketizer.ttl#L10)\n\nThis processor takes as input a stream of SDS records and SDS metadata and proceeds to _bucketize_ them according to a predefined strategy ([see example](https://github.com/ajuvercr/sds-processors/blob/master/bucketizeStrategy.ttl)). The SDS metadata will be also transformed to reflect this transformation. Multiple SDS streams can be present on the incoming data channel.\n\nYou can define bucketizers as follows:\n\n```turtle\n<bucketize> a js:Bucketize;\n  js:channels [\n    js:dataInput <...data input>;\n    js:metadataInput <... metadata input>;\n    js:dataOutput <... data output>;\n    js:metadataOutput <... metadata output>;\n  ];\n  js:bucketizeStrategy ( [            # One or more bucketize strategies\n    a tree:SubjectFragmentation;      # Create a bucket based on this path\n    tree:fragmentationPath ( );\n  ] [\n    a tree:PageFragmentation;         # Create a new bucket when the previous bucket has 2 members\n    tree:pageSize 2;\n  ] );\n  js:savePath <./buckets_save.json>;\n  js:outputStreamId <MyEpicStream>.\n```\n\n\n### [`js:Ldesify`](https://github.com/ajuvercr/sds-processors/blob/master/configs/ldesify.ttl#L10)\n\nThis processor takes a stream of raw entities (e.g., out from a RML transformation process) and creates versioned entities appending the current timestamp to the entity IRI to make it unique. It is capable of keeping a state so that unmodified entities are filtered.\n\n### [`js:Generate`](https://github.com/ajuvercr/sds-processors/blob/be7134a295eb63e17034b2e3ceea0eaf6ad01770/configs/generator.ttl#L19)\n\nThis a simple RDF data generator function used for testing. This processor will periodically generate RDF objects with 3 to 4 predicates.\n\n","gitHead":"09ef5c94aec5c820f5d10d27298be8b7ef9e66c3","scripts":{"test":"vitest run --coverage --coverage.include src","build":"tsc && tsc-alias","prepare":"husky"},"_npmUser":{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"},"repository":{"url":"git+https://github.com/ajuvercr/sds-processors.git","type":"git"},"_npmVersion":"10.7.0","description":"[![Bun CI](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml/badge.svg)](https://github.com/ajuvercr/sds-processors/actions/workflows/build-test.yml) [![npm](https://img.shields.io/npm/v/sds-processors.svg?style=popout)](https://","directories":{},"_nodeVersion":"21.7.3","dependencies":{"n3":"^1.17.2","jsonld":"^8.3.1","rdf-lens":"^1.2.6","csv-parse":"^5.5.2","rdf-stores":"^1.0.0","@treecg/types":"^0.4.5","extract-cbd-shape":"^0.1.4"},"_hasShrinkwrap":false,"readmeFilename":"README.md","devDependencies":{"husky":"^9.0.11","dotenv":"^16.4.5","eslint":"^8.57.0","vitest":"^1.4.0","ts-node":"^10.9.2","prettier":"^3.2.5","@types/n3":"^1.16.3","tsc-alias":"^1.8.8","typescript":"^5.4.3","@types/node":"^20.8.9","lint-staged":"^15.2.2","@rdfjs/types":"^1.1.0","@types/jsonld":"^1.5.11","@types/rdf-js":"^4.0.2","@ajuvercr/js-runner":"^0.2.0-alpha.0","@vitest/coverage-v8":"^1.4.0","vite-tsconfig-paths":"^4.3.2","eslint-config-prettier":"^9.1.0","@typescript-eslint/parser":"^7.4.0","@typescript-eslint/eslint-plugin":"^7.5.0"},"_npmOperationalInternal":{"tmp":"tmp/sds-processors_0.4.0-alpha.6_1715857099775_0.8906079819293833","host":"s3://npm-registry-packages"},"deprecated":"This package has been renamed. Install using @rdfc/sds-processors-ts instead"}},"time":{"created":"2023-06-22T12:17:12.048Z","modified":"2024-06-13T15:34:41.009Z","0.0.1":"2023-06-22T12:17:12.278Z","0.0.2":"2023-06-22T12:23:02.735Z","0.0.3":"2023-09-12T13:25:11.568Z","0.1.0":"2023-09-22T15:19:00.790Z","0.1.1":"2023-09-25T13:27:41.709Z","0.1.2":"2023-09-28T09:21:01.813Z","0.1.3":"2023-09-28T09:23:41.826Z","0.1.4":"2023-10-31T09:11:51.218Z","0.2.0":"2023-11-28T15:10:58.773Z","0.2.1":"2023-11-28T21:50:11.269Z","0.3.0":"2023-11-30T23:13:39.452Z","0.3.1":"2024-01-05T23:15:52.869Z","0.3.2":"2024-03-03T18:53:07.617Z","0.1.5":"2024-03-05T12:47:51.975Z","0.2.2":"2024-04-15T13:38:38.601Z","0.3.0-alpha.1":"2024-04-25T11:57:37.515Z","0.3.0-alpha.2":"2024-04-25T12:06:12.297Z","0.4.0-alpha.1":"2024-04-25T12:29:26.363Z","0.4.0-alpha.2":"2024-04-25T12:45:38.991Z","0.4.0-alpha.3":"2024-04-25T12:48:51.687Z","0.4.0-alpha.4":"2024-05-16T10:52:39.349Z","0.4.0-alpha.5":"2024-05-16T10:57:22.526Z","0.4.0-alpha.6":"2024-05-16T10:58:19.907Z"},"maintainers":[{"name":"ajuvercr","email":"arthur.vercruysse@outlook.com"},{"name":"julianrojas87","email":"julian.rojas87@gmail.com"}],"author":{"name":"Arthur Vercruysse"},"repository":{"url":"git+https://github.com/ajuvercr/sds-processors.git","type":"git"},"license":"MIT","homepage":"https://github.com/ajuvercr/sds-processors#readme","bugs":{"url":"https://github.com/ajuvercr/sds-processors/issues"},"readme":"","readmeFilename":"","contributors":[{"name":"Julián Rojas"}]}