package.json

{
  "name": "simon",
  "displayName": "S.I.M.O.N.",
  "description": "integrate your own java code prediction models in Vscode",
  "publisher": "Matteo-Omenetti",
  "repository": "https://github.com/Matteo-Omenetti/S.I.M.O.N.",
  "version": "0.1.3",
  "engines": {
    "vscode": "^1.54.0"
  },
  "categories": [
    "Other"
  ],
  "activationEvents": [
    "onLanguage:java",
    "onCommand:simon.autocomplete"
  ],
  "main": "./src/extension.js",
  "contributes": {
    "languages": [
      {
        "id": "java",
        "extensions": [
          ".java"
        ],
        "configuration": "./language-configuration.json"
      }
    ],
    "commands": [
      {
        "command": "simon.autocomplete",
        "title": "Show the Suggestion"
      },
      {
        "command": "simon.delete",
        "title": "Delete the Suggestion"
      },
      {
        "command": "simon.accept",
        "title": "Accept the Suggestion"
      }
    ],
    "configuration": {
      "title": "S.I.M.O.N.",
      "properties": {
        "simon.urlCode": {
          "type": "array",
          "default": [
            {
              "enable": true,
              "url": "http://gym.si.usi.ch:45001/code/"
            }
          ],
          "description": "The server hosting the neural network that makes code recommendations. (If multiple objects are given with enable=true, the first one will be considered)"
        },
        "simon.urlComment": {
          "type": "array",
          "default": [
            {
              "enable": true,
              "url": "http://gym.si.usi.ch:45001/comment/"
            }
          ],
          "description": "The server hosting the neural network that makes comment recommendations. (If multiple objects are given with enable=true, the first one will be considered)"
        },
        "simon.triggerChars": {
          "type": "array",
          "default": [
            " ",
            ".",
            ",",
            "("
          ],
          "items": {
            "type": "string"
          },
          "minItems": 1,
          "uniqueItems": true,
          "markdownDescription": "Specifies the characters for which the autocompletion will be triggered",
          "scope": "window"
        },
        "simon.name": {
          "type": "string",
          "default": null,
          "markdownDescription": "Insert your organization name when requesting a recommendation",
          "scope": "window"
        },
        "simon.urlFeedback": {
          "type": "string",
          "default": "http://gym.si.usi.ch:45002/feedback/",
          "markdownDescription": "The server hosting the feeback database",
          "scope": "window"
        },
        "simon.suggestionColor": {
          "type": "string",
          "default": "#505050",
          "markdownDescription": "Specify the color of the suggestion in hexadecimal. Depending on the color theme you are using the defualt one could not be visible.",
          "scope": "window"
        },
        "simon.confidenceCode": {
          "type": "number",
          "default": 75,
          "minimum": 0,
          "maximum": 100,
          "markdownDescription": "Specify the minimum confidence that the code neural network must have in order for a recommendation to be shown. If the confidence for the current prediction is below the specified number, it will not be shown",
          "scope": "window"
        },
        "simon.confidenceComment": {
          "type": "number",
          "default": 75,
          "minimum": 0,
          "maximum": 100,
          "markdownDescription": "Specify the minimum confidence that the comment neural network must have in order for a recommendation to be shown. If the confidence for the current prediction is below the specified number, it will not be shown",
          "scope": "window"
        },
        "simon.singleLineComment": {
          "type": "boolean",
          "default": true,
          "markdownDescription": "If a single line comment on the same line of some code is decteded, move the comment to a new line, when the code is sent to the neural network.",
          "scope": "window"
        }
      }
    },
    "keybindings": [
      {
        "command": "simon.delete",
        "key": "escape",
        "mac": "escape",
        "when": "myContext == true"
      },
      {
        "command": "simon.accept",
        "key": "tab",
        "mac": "tab",
        "when": "myContext == true"
      },
      {
        "command": "simon.trigger",
        "key": "ctrl+space",
        "mac": "ctrl+space"
      }
    ]
  },
  "scripts": {
    "lint": "eslint .",
    "pretest": "npm run lint",
    "test": "node ./test/runTest.js"
  },
  "devDependencies": {
    "@types/glob": "^7.1.3",
    "@types/mocha": "^8.0.4",
    "@types/node": "^12.11.7",
    "@types/vscode": "^1.54.0",
    "eslint": "^7.19.0",
    "glob": "^7.1.6",
    "mocha": "^8.2.1",
    "typescript": "^4.1.3",
    "vscode-test": "^1.5.0"
  },
  "dependencies": {
    "node-fetch": "^2.6.1"
  }
}