App Submitted - spacy-wrapper.v1.2

docs/_apps/spacy-wrapper/v1.2/index.md

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+---
+layout: posts
+classes: wide
+title: "CLAMS wrapper for spaCy NLP (v1.2)"
+date: 2024-06-11T12:30:19+00:00
+---
+## About this version
+
+- Submitter: [marcverhagen](https://github.com/marcverhagen)
+- Submission Time: 2024-06-11T12:30:19+00:00
+- Prebuilt Container Image: [ghcr.io/clamsproject/app-spacy-wrapper:v1.2](https://github.com/clamsproject/app-spacy-wrapper/pkgs/container/app-spacy-wrapper/v1.2)
+- Release Notes
+
+    > Bumping Python SDK version, bug fixes and documentation updates  
+    > - Updated to clams-python 1.2.2  
+    > - Fixed token length (issue #30)  
+    > - Fixed problems with the pretokenized parameter (issue #32)  
+    > - Various documentation fixes.
+
+## About this app (See raw [metadata.json](metadata.json))
+
+**Apply spaCy NLP to all text documents in a MMIF file.**
+
+- App ID: [http://apps.clams.ai/spacy-wrapper/v1.2](http://apps.clams.ai/spacy-wrapper/v1.2)
+- App License: Apache 2.0
+- Source Repository: [https://github.com/clamsproject/app-spacy-wrapper](https://github.com/clamsproject/app-spacy-wrapper) ([source tree of the submitted version](https://github.com/clamsproject/app-spacy-wrapper/tree/v1.2))
+- Analyzer Version: 3.6
+- Analyzer License: MIT
+
+
+#### Inputs
+(**Note**: "*" as a property value means that the property is required but can be any value.)
+
+- [http://mmif.clams.ai/vocabulary/TextDocument/v1](http://mmif.clams.ai/vocabulary/TextDocument/v1) (required)
+(of any properties)
+
+- [http://vocab.lappsgrid.org/Token](http://vocab.lappsgrid.org/Token)
+(of any properties)
+
+
+
+#### Configurable Parameters
+(**Note**: _Multivalued_ means the parameter can have one or more values.)
+
+- `pretokenized`: optional, defaults to `false`
+
+    - Type: boolean
+    - Multivalued: False
+    - Choices: **_`false`_**, `true`
+
+
+    > Boolean parameter to set the app to use existing tokenization, if available, for text documents for NLP processing. Useful to process ASR documents, for example.
+- `pretty`: optional, defaults to `false`
+
+    - Type: boolean
+    - Multivalued: False
+    - Choices: **_`false`_**, `true`
+
+
+    > The JSON body of the HTTP response will be re-formatted with 2-space indentation
+
+
+#### Outputs
+(**Note**: "*" as a property value means that the property is required but can be any value.)
+
+(**Note**: Not all output annotations are always generated.)
+
+- [http://vocab.lappsgrid.org/Token](http://vocab.lappsgrid.org/Token)
+(of any properties)
+
+- [http://vocab.lappsgrid.org/Token#pos](http://vocab.lappsgrid.org/Token#pos)
+(of any properties)
+
+- [http://vocab.lappsgrid.org/Token#lemma](http://vocab.lappsgrid.org/Token#lemma)
+(of any properties)
+
+- [http://vocab.lappsgrid.org/NounChunk](http://vocab.lappsgrid.org/NounChunk)
+(of any properties)
+
+- [http://vocab.lappsgrid.org/Sentence](http://vocab.lappsgrid.org/Sentence)
+(of any properties)
+
+- [http://vocab.lappsgrid.org/NamedEntity](http://vocab.lappsgrid.org/NamedEntity)
+(of any properties)
+

docs/_apps/spacy-wrapper/v1.2/metadata.json

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+{
+  "name": "CLAMS wrapper for spaCy NLP",
+  "description": "Apply spaCy NLP to all text documents in a MMIF file.",
+  "app_version": "v1.2",
+  "mmif_version": "1.0.4",
+  "analyzer_version": "3.6",
+  "app_license": "Apache 2.0",
+  "analyzer_license": "MIT",
+  "identifier": "http://apps.clams.ai/spacy-wrapper/v1.2",
+  "url": "https://github.com/clamsproject/app-spacy-wrapper",
+  "input": [
+    {
+      "@type": "http://mmif.clams.ai/vocabulary/TextDocument/v1",
+      "required": true
+    },
+    {
+      "@type": "http://vocab.lappsgrid.org/Token",
+      "required": false
+    }
+  ],
+  "output": [
+    {
+      "@type": "http://vocab.lappsgrid.org/Token"
+    },
+    {
+      "@type": "http://vocab.lappsgrid.org/Token#pos"
+    },
+    {
+      "@type": "http://vocab.lappsgrid.org/Token#lemma"
+    },
+    {
+      "@type": "http://vocab.lappsgrid.org/NounChunk"
+    },
+    {
+      "@type": "http://vocab.lappsgrid.org/Sentence"
+    },
+    {
+      "@type": "http://vocab.lappsgrid.org/NamedEntity"
+    }
+  ],
+  "parameters": [
+    {
+      "name": "pretokenized",
+      "description": "Boolean parameter to set the app to use existing tokenization, if available, for text documents for NLP processing. Useful to process ASR documents, for example.",
+      "type": "boolean",
+      "default": false,
+      "multivalued": false
+    },
+    {
+      "name": "pretty",
+      "description": "The JSON body of the HTTP response will be re-formatted with 2-space indentation",
+      "type": "boolean",
+      "default": false,
+      "multivalued": false
+    }
+  ]
+}

docs/_apps/spacy-wrapper/v1.2/submission.json

@@ -0,0 +1,6 @@
+{
+  "time": "2024-06-11T12:30:19+00:00",
+  "submitter": "marcverhagen",
+  "image": "ghcr.io/clamsproject/app-spacy-wrapper:v1.2",
+  "releasenotes": "Bumping Python SDK version, bug fixes and documentation updates\n\n- Updated to clams-python 1.2.2\n- Fixed token length (issue #30)\n- Fixed problems with the pretokenized parameter (issue #32)\n- Various documentation fixes.\n\n"
+}

docs/_data/app-index.json

@@ -1,4 +1,22 @@
 {
+  "http://apps.clams.ai/spacy-wrapper": {
+    "description": "Apply spaCy NLP to all text documents in a MMIF file.",
+    "latest_update": "2024-06-11T12:30:19+00:00",
+    "versions": [
+      [
+        "v1.2",
+        "marcverhagen"
+      ],
+      [
+        "v1.1",
+        "keighrim"
+      ],
+      [
+        "v1",
+        "keighrim"
+      ]
+    ]
+  },
   "http://apps.clams.ai/llava-captioner": {
     "description": "Applies llava to video frames.",
     "latest_update": "2024-05-23T19:38:32+00:00",
@@ -315,20 +333,6 @@
       ]
     ]
   },
-  "http://apps.clams.ai/spacy-wrapper": {
-    "description": "Apply spaCy NLP to all text documents in a MMIF file.",
-    "latest_update": "2023-07-24T17:39:56+00:00",
-    "versions": [
-      [
-        "v1.1",
-        "keighrim"
-      ],
-      [
-        "v1",
-        "keighrim"
-      ]
-    ]
-  },
   "http://apps.clams.ai/brandeis-acs-wrapper": {
     "description": "Brandeis Acoustic Classification & Segmentation (ACS) is a audio segmentation tool developed at Brandeis Lab for Linguistics and Computation. The original software can be found at https://github.com/brandeis-llc/acoustic-classification-segmentation .",
     "latest_update": "2023-07-24T05:42:05+00:00",