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Richie-Halford","email":"richiehalford@gmail.com"},"license":"ISC","homepage":"https://github.com/yeatmanlab/roar-firekit#readme","keywords":["firebase","roar","authentication","cloud","firestore","reading","literacy","dyslexia"],"repository":{"url":"git+https://github.com/yeatmanlab/roar-firekit.git","type":"git"},"description":"A library to facilitate Firebase authentication and Cloud Firestore interaction for ROAR apps","maintainers":[{"email":"anyawma08@gmail.com","name":"anyawma"},{"email":"kmontvil@stanford.edu","name":"kylemontville"},{"email":"kellyel@stanford.edu","name":"kellyel"},{"email":"emilyag@stanford.edu","name":"emily-ejag"},{"email":"ethanroy@stanford.edu","name":"earoy"},{"email":"ayeung21@stanford.edu","name":"ayeung21"}],"readme":"[![npm version](https://badge.fury.io/js/@bdelab%2Froar-firekit.svg)](https://badge.fury.io/js/@bdelab%2Froar-firekit)\n![NPM License](https://img.shields.io/npm/l/@bdelab/roar-firekit)\n\n# roar-firekit\n\nWelcome to roar-firekit! Roar-firekit helps you store the data from your [ROAR application](https://dyslexia.stanford.edu/roar/) in [Cloud Firestore](https://cloud.google.com/firestore).\n\n## Installation\n\nYou can install [roar-firekit from npm](https://www.npmjs.com/package/@bdelab/roar-firekit) with\n\n```bash\nnpm i @bdelab/roar-firekit\n```\n\n## Usage\n\nRoar-firekit is agnostic about where your data comes from, but I anticipate most users will use roar-firekit with their experiments written in [jsPsych](https://www.jspsych.org/).\n\nThe main entrypoint to roar-firekit's API is the [[`RoarAppkit`]] class. Its\nconstructor expects an object with keys `userInfo`, `taskInfo`, and `config`, where\n`userInfo` is a [[`UserDataInAdminDb`]] object, `taskInfo` is a\n[[`TaskVariantInput`]] object, and `config` is a [[`AssessmentConfigData`]] object.\n\n### Constructor inputs\n\n#### `userInfo`\n\nUser information is encapsulated in a [[`UserDataInAdminDb`]] object. Its only required\nkey is `id`, which should be the current user's ROAR UID, which is also sometimes called the ROAR PID:\n\n```javascript\nconst minimalUserInfo = { id: 'roar-user-id' };\n```\n\nBut you can supply other information about the user if you know it:\n\n```javascript\nconst fullUserInfo = {\n  id: 'roar-user-id',\n  birthMonth: 7,\n  birthYear: 2014,\n  classId: 'roar-class-id',\n  schoolId: 'roar-school-id',\n  districtId: 'roar-district-id',\n  groupId: 'roar-group-id',\n  userCategory: 'student',\n};\n```\n\n#### `taskInfo`\n\nInformation about the current task is encapsulated in a [[`TaskVariantInput`]] object. Here is the task information for a fictitious \"Not Hotdog\" task:\n\n```javascript\nconst taskInfo = {\n  taskId: 'nhd',\n  taskName: 'Not Hotdog',\n  variantName: 'Not Hotdog, one block',\n  taskDescription: 'A demonstration task using the hot dog / not hot dog problem',\n  variantDescription: 'One block, random order',\n  blocks: [\n    {\n      blockNumber: 1,\n      trialMethod: 'random-without-replacement',\n      corpus: 'pointer-to-location-of-stimulus-corpus',\n    },\n  ],\n};\n```\n\n#### `config`\n\nThe config object contains configuration information for your Firebase project. You may want to store your config object in separate javascript file (named \"roarConfig.js\" for this documentation). A template is provided below\n\n<details>\n  <summary>Click to expand!</summary>\n\n```javascript\nexport const roarConfig = {\n  firebaseConfig: {\n    apiKey: 'insert your firebase API key here',\n    authDomain: 'insert your firebase auth domain here',\n    projectId: 'insert your firebase project ID here',\n    storageBucket: 'insert your firebase storage bucket here',\n    messagingSenderId: 'insert your firebase messaging sender ID here',\n    appId: 'insert your firebase app ID here',\n    measurementId: 'insert your firebase measurement ID here',\n  },\n  rootDoc: ['some collection name', 'some document name'],\n};\n```\n\n</details>\n\n##### `firebaseConfig`\n\nTo get the `firebaseConfig` fields, see [this article](https://support.google.com/firebase/answer/7015592#zippy=%2Cin-this-article) on how to retrieve your firebase config. TLDR: go directly to [your project's settings](https://console.firebase.google.com/project/_/settings/general/), scroll down to \"SDK setup and configuration,\" click the \"Config\" radio button, and copy the snippet for your app's Firebase config object.\n\n##### `rootDoc`\n\nThe `rootDoc` is an array of strings representing the document under which all ROAR data will be stored. Note that `rootDoc` does not have to be in the actual root of your Cloud Firestore database.\n\n### Constructing the firekit\n\nWith the above defined input, you would construct a firekit using\n\n```javascript\nimport { RoarAppkit } from '@bdelab/roar-firekit';\nimport { roarConfig } from './roarConfig.js';\n\n// Insert input definition code from above\n\nconst firekit = new RoarAppkit({\n  userInfo: minimalUserInfo,\n  taskInfo,\n  config: roarConfig,\n});\n```\n\n## Starting a run\n\nStarting a run writes the user, task, and run information to Cloud Firestore:\n\n```javascript\nawait firekit.startRun();\n```\n\nIf you are using roar-firekit with jsPsych, you should call this method before\nexperiment starts, either by awaiting it before the `jsPsych.run` method,\n\n```javascript\nawait firekit.startRun();\njsPsych.run(timeline);\n```\n\nor by calling it as part of the `on_timeline_start` callback,\n\n```javascript\nconst procedure = {\n  timeline: [trial1, trial2],\n  on_timeline_start: function() {\n    await firekit.startRun();\n  }\n}\n```\n\n## Writing a trial to Firestore\n\nAfter starting a run, you can write individual trial data to Cloud Firestore using the `writeTrial` method.\nThis method can be added to individual jsPsych trials by calling it from\nthe `on_finish` function, like so:\n\n```javascript\nvar trial = {\n  type: 'image-keyboard-response',\n  stimulus: 'imgA.png',\n  on_finish: function (data) {\n    firekit.writeTrial(data);\n  },\n};\n```\n\nOr you can call it from all trials in a jsPsych\ntimeline by calling it from the `on_data_update` callback. In this\ncase, you can avoid saving extraneous trials by conditionally calling\nthis method based on the data. For example:\n\n```javascript\ninitJsPsych({\n  on_data_update: function (data) {\n    if (data.saveToFirestore) {\n      firekit.addTrialData(data);\n    }\n  },\n});\nconst timeline = [\n  // A fixation trial; don't save to Firestore\n  {\n    type: htmlKeyboardResponse,\n    stimulus: '<div style=\"font-size:60px;\">+</div>',\n    choices: 'NO_KEYS',\n    trial_duration: 500,\n  },\n  // A stimulus and response trial; save to Firestore\n  {\n    type: imageKeyboardResponse,\n    stimulus: 'imgA.png',\n    data: { saveToFirestore: true },\n  },\n];\n```\n\n## Finishing a run\n\nAfter your experiment is over, you can mark it as completed in Firestore using the `finishRun` method. For example, you can call this method in the [`on_finish` (experiment) callback](https://www.jspsych.org/7.1/overview/events/#on_finish-experiment):\n\n```javascript\ninitJsPsych({\n  on_finish: function (data) {\n    firekit.finishRun();\n  },\n});\n```\n\n## Full example\n\nThe following is an example jsPsych experiment that implements the NoHotdog assessment while writing data to Cloud Firestore using roar-firekit.\n\n<details>\n  <summary>Click to expand!</summary>\n\n```javascript\nimport { initJsPsych } from 'jspsych';\nimport preload from '@jspsych/plugin-preload';\nimport htmlKeyboardResponse from '@jspsych/plugin-html-keyboard-response';\nimport imageButtonResponse from '@jspsych/plugin-image-button-response';\nimport { RoarAppkit } from '@bdelab/roar-firekit';\nimport { roarConfig } from './roarConfig.js';\n\nconst taskInfo = {\n  taskId: 'nhd',\n  taskName: 'Not Hotdog',\n  variantName: 'nhd-1block-random',\n  taskDescription: 'A ROAR demonstration using the hot dog / not hot dog task.',\n  variantDescription: 'One block, random order',\n  blocks: [\n    {\n      blockNumber: 1,\n      trialMethod: 'random-without-replacement',\n      corpus: 'assets',\n    },\n  ],\n};\n\nconst minimalUserInfo = { id: 'roar-user-id' };\n\nconst firekit = new RoarAppkit({\n  userInfo: minimalUserInfo,\n  taskInfo,\n  config: roarConfig,\n});\n\nawait firekit.startRun();\n\nconst jsPsych = initJsPsych({\n  on_data_update: function (data) {\n    if (data.saveToFirestore) {\n      firekit.writeTrial(data);\n    }\n  },\n  on_finish: function () {\n    firekit.finishRun();\n  },\n});\n\n// This example assumes that the hot dog / not hot dog images are stored in the\n// assets folder.\nconst numFiles = 30;\nconst hotDogFiles = Array.from(Array(numFiles), (_, i) => i + 1).map(\n  (idx) => new URL(`../assets/hotdog/${idx}.jpg`, import.meta.url),\n);\nconst notHotDogFiles = Array.from(Array(numFiles), (_, i) => i + 1).map(\n  (idx) => new URL(`../assets/nothotdog/${idx}.jpg`, import.meta.url),\n);\nconst allFiles = hotDogFiles.concat(notHotDogFiles);\nconst allTargets = allFiles.map((url) => {\n  return { target: url, isHotDog: !url.pathname.includes('nothotdog') };\n});\n\nlet timeline = [];\n\n/* preload images */\nconst preloadImages = {\n  type: preload,\n  auto_preload: true,\n};\ntimeline.push(preloadImages);\n\n/* define welcome message trial */\nconst welcome = {\n  type: htmlKeyboardResponse,\n  stimulus: 'Welcome to ROAR-HD, a rapid online assessment of hot dog differentiating ability. Press any key to begin.',\n};\ntimeline.push(welcome);\n\nconst hotDogTrials = {\n  timeline: [\n    {\n      type: htmlKeyboardResponse,\n      stimulus: '<div style=\"font-size:60px;\">+</div>',\n      choices: 'NO_KEYS',\n      trial_duration: 500,\n    },\n    {\n      type: imageButtonResponse,\n      stimulus: jsPsych.timelineVariable('target'),\n      choices: ['Hot Dog', 'Not a Hot Dog'],\n      prompt: 'Is this a hot dog?',\n      data: { saveToFirestore: true },\n      on_finish: function (data) {\n        data.correct = jsPsych.timelineVariable('isHotDog') == data.response;\n      },\n    },\n  ],\n  timeline_variables: allTargets,\n  sample: {\n    type: 'without-replacement',\n    size: 20,\n  },\n};\n\ntimeline.push(hotDogTrials);\n\nconst fixation = {\n  type: htmlKeyboardResponse,\n  stimulus: 'You are all done. Thanks!',\n  choices: 'NO_KEYS',\n};\ntimeline.push(fixation);\n\njsPsych.run(timeline);\n```\n\n</details>\n","readmeFilename":"README.md"}