Check precommit in GH workflow

Author: marcusolsson

.github/workflows/ci.yml

@@ -11,11 +11,15 @@ jobs:
 
       - name: Install pnpm
         uses: pnpm/action-setup@v4
-        with:
-          version: 8
 
-      - name: Run precommit
-        run: pnpm run precommit
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Convert specs to JSON
+        run: pnpm run to-json
+
+      - name: Format files
+        run: pnpm run format
 
       - name: Check for uncommitted changes
         run: |

.prettierignore

@@ -1,2 +1,4 @@
 pnpm-lock.yaml
 jupyter-to-mdx.py
+.gitignore
+.prettierignore

.prettierrc

@@ -0,0 +1 @@
+{ "semi": true, "tabWidth": 2, "singleQuote": false, "trailingComma": "es5" }

.spectral.yml

@@ -1,8 +1,8 @@
 extends: ["spectral:oas", "spectral:asyncapi"]
 overrides:
   - files:
-    - "openapi.yml"
-    - "asyncapi.yml"
+      - "openapi.yml"
+      - "asyncapi.yml"
     rules:
       oas3-valid-schema-example: "off"
       asyncapi-payload-examples: "off"

cookbook-master/core-transcription/automatic-language-detection-route-default-language-js.md

@@ -62,11 +62,11 @@ const run = async (params) => {
   if (transcript.status === "error") {
     if (
       transcript.error.includes(
-        "below the requested confidence threshold value",
+        "below the requested confidence threshold value"
       )
     ) {
       console.log(
-        `${transcript.error}. Running transcript again with language set to '${default_language}'.`,
+        `${transcript.error}. Running transcript again with language set to '${default_language}'.`
       );
       params = {
         ...params,

cookbook-master/core-transcription/detecting-low-confidence-words.md

@@ -47,15 +47,15 @@ Next, we will filter the sentences array down to just sentences that contain wor
 const sentencesWithLowConfidenceWords = (sentences, confidenceThreshold) => {
   return sentences.filter((sentence) => {
     const hasLowConfidenceWord = sentence.words.some(
-      (word) => word.confidence < confidenceThreshold,
+      (word) => word.confidence < confidenceThreshold
     );
     return hasLowConfidenceWord;
   });
 };
 
 const filteredSentences = sentencesWithLowConfidenceWords(
   sentences,
-  confidenceThreshold,
+  confidenceThreshold
 );
 ```
 

cookbook-master/core-transcription/do-more-with-sdk-js.md

@@ -78,7 +78,7 @@ const allTranscriptsResponse = await fetch(
     headers: {
       Authorization: "<YOUR_API_KEY>",
     },
-  },
+  }
 );
 const allTranscripts = await allTranscriptsResponse.json();
 console.log(allTranscripts);
@@ -96,7 +96,7 @@ const transcriptResponse = await fetch(
     headers: {
       Authorization: "<YOUR_API_KEY>",
     },
-  },
+  }
 );
 const previousTranscript = await transcriptResponse.json();
 console.log(previousTranscript);

cookbook-master/streaming-stt/file-transcription-nodejs/stream_api.js

@@ -5,7 +5,7 @@ const ASSEMBLY_API_KEY = "YOUR_API_KEY";
 
 if (ASSEMBLY_API_KEY === "YOUR_API_KEY") {
   throw console.error(
-    "Please set your AssemblyAI API key in the ASSEMBLY_API_KEY variable.",
+    "Please set your AssemblyAI API key in the ASSEMBLY_API_KEY variable."
   );
 }
 
@@ -69,7 +69,7 @@ function transcribeFile(filePath) {
     });
 
     console.log(
-      `Got socket close event type=${event.type} code=${event.code} reason="${event.reason}" wasClean=${event.wasClean}`,
+      `Got socket close event type=${event.type} code=${event.code} reason="${event.reason}" wasClean=${event.wasClean}`
     );
   };
 

fern/kapa.js

@@ -71,7 +71,7 @@ window.Kapa(
     rudderanalytics.track("docs_click_search-ask-ai", {
       search_query: question,
     });
-  },
+  }
 );
 
 // track event for kapa modal search result clicking "ask ai" completing
@@ -81,7 +81,7 @@ window.Kapa(
     rudderanalytics.track("docs_completed_search-ask-ai", {
       search_query: question,
     });
-  },
+  }
 );
 
 // track event for kapa modal search result clicked from "ask ai" answer text
@@ -92,7 +92,7 @@ window.Kapa(
       search_query: question,
       clicked_url: href,
     });
-  },
+  }
 );
 
 // track event for kapa modal search result clicked from "ask ai" answer sources
@@ -104,7 +104,7 @@ window.Kapa(
       clicked_url: source.url,
       clicked_title: source.title,
     });
-  },
+  }
 );
 
 function insertKapa() {
@@ -120,21 +120,21 @@ function insertKapa() {
   script.async = true;
   script.setAttribute(
     "data-website-id",
-    "42353092-36d7-42bd-a213-6fd7af0de0cd",
+    "42353092-36d7-42bd-a213-6fd7af0de0cd"
   );
   script.setAttribute("data-project-name", "AssemblyAI");
   script.setAttribute("data-project-color", "#2C4BD4");
   script.setAttribute(
     "data-project-logo",
-    "https://www.assemblyai.com/static/images/logo-blue400x400.jpeg",
+    "https://www.assemblyai.com/static/images/logo-blue400x400.jpeg"
   );
   script.setAttribute(
     "data-modal-override-open-id-search",
-    "fern-search-button",
+    "fern-search-button"
   );
   script.setAttribute(
     "data-search-include-source-names",
-    '["FAQ", "Documentation"]',
+    '["FAQ", "Documentation"]'
   );
   script.setAttribute("data-user-analytics-fingerprint-enabled", true);
   document.head.appendChild(script);

fern/pages/01-getting-started/transcribe-streaming-audio-from-a-microphone/typescript.mdx

@@ -299,7 +299,7 @@ const ws = new WebSocket(
     headers: {
       Authorization: API_KEY,
     },
-  },
+  }
 );
 
 ws.on("open", () => onOpen(ws))

fern/pages/02-speech-to-text/pre-recorded-audio/word-level-timestamps.mdx

@@ -87,7 +87,7 @@ const run = async () => {
   // Print word-level details
   for (const word of transcript.words) {
     console.log(
-      `Word: ${word.text}, Start: ${word.start}, End: ${word.end}, Confidence: ${word.confidence}`,
+      `Word: ${word.text}, Start: ${word.start}, End: ${word.end}, Confidence: ${word.confidence}`
     );
   }
 };
@@ -133,7 +133,7 @@ while (true) {
     // Print word-level details
     for (const word of transcriptionResult.words) {
       console.log(
-        `Word: ${word.text}, Start: ${word.start}, End: ${word.end}, Confidence: ${word.confidence}`,
+        `Word: ${word.text}, Start: ${word.start}, End: ${word.end}, Confidence: ${word.confidence}`
       );
     }
     break;

fern/pages/02-speech-to-text/pre-recorded-audio/word-search.mdx

@@ -163,7 +163,7 @@ const words = ["foo", "bar", "foo bar", "42"];
 
 const response = await axios.get(
   `${baseUrl}/v2/transcript/${transcriptId}/word-search?words=${words.join(",")}`,
-  { headers },
+  { headers }
 );
 
 for (const match of response.data.matches) {

fern/pages/02-speech-to-text/streaming.mdx

@@ -294,7 +294,7 @@ const token = await axios
         Authorization: "<apiKey>",
         "Content-Type": "application/json",
       },
-    },
+    }
   )
   .then((response) => response.data.token);
 ```

fern/pages/03-audio-intelligence/content-moderation.mdx

@@ -162,7 +162,7 @@ const run = async () => {
   for (const result of contentSafetyLabels.results) {
     console.log(result.text);
     console.log(
-      `Timestamp: ${result.timestamp.start} - ${result.timestamp.end}`,
+      `Timestamp: ${result.timestamp.start} - ${result.timestamp.end}`
     );
 
     // Get category, confidence, and severity
@@ -173,25 +173,25 @@ const run = async () => {
 
   // Get the confidence of the most common labels in relation to the entire audio file
   for (const [label, confidence] of Object.entries(
-    contentSafetyLabels.summary,
+    contentSafetyLabels.summary
   )) {
     console.log(
-      `${confidence * 100}% confident that the audio contains ${label}`,
+      `${confidence * 100}% confident that the audio contains ${label}`
     );
   }
 
   // Get the overall severity of the most common labels in relation to the entire audio file
   for (const [label, severity_confidence] of Object.entries(
-    contentSafetyLabels.severity_score_summary,
+    contentSafetyLabels.severity_score_summary
   )) {
     console.log(
-      `${severity_confidence.low * 100}% confident that the audio contains low-severity ${label}`,
+      `${severity_confidence.low * 100}% confident that the audio contains low-severity ${label}`
     );
     console.log(
-      `${severity_confidence.medium * 100}% confident that the audio contains medium-severity ${label}`,
+      `${severity_confidence.medium * 100}% confident that the audio contains medium-severity ${label}`
     );
     console.log(
-      `${severity_confidence.high * 100}% confident that the audio contains high-severity ${label}`,
+      `${severity_confidence.high * 100}% confident that the audio contains high-severity ${label}`
     );
   }
 };
@@ -244,7 +244,7 @@ while (true) {
     for (const result of contentSafetyLabels.results) {
       console.log(result.text);
       console.log(
-        `Timestamp: ${result.timestamp.start} - ${result.timestamp.end}`,
+        `Timestamp: ${result.timestamp.start} - ${result.timestamp.end}`
       );
 
       // Get category, confidence, and severity.
@@ -254,24 +254,24 @@ while (true) {
     }
     // Get the confidence of the most common labels in relation to the entire audio file
     for (const [label, confidence] of Object.entries(
-      contentSafetyLabels.summary,
+      contentSafetyLabels.summary
     )) {
       console.log(
-        `${confidence * 100}% confident that the audio contains ${label}`,
+        `${confidence * 100}% confident that the audio contains ${label}`
       );
     }
     // Get the confidence of the most common labels in relation to the entire audio file.
     for (const [label, severity_confidence] of Object.entries(
-      contentSafetyLabels.severity_score_summary,
+      contentSafetyLabels.severity_score_summary
     )) {
       console.log(
-        `${severity_confidence.low * 100}% confident that the audio contains low-severity ${label}`,
+        `${severity_confidence.low * 100}% confident that the audio contains low-severity ${label}`
       );
       console.log(
-        `${severity_confidence.medium * 100}% confident that the audio contains medium-severity ${label}`,
+        `${severity_confidence.medium * 100}% confident that the audio contains medium-severity ${label}`
       );
       console.log(
-        `${severity_confidence.high * 100}% confident that the audio contains high-severity ${label}`,
+        `${severity_confidence.high * 100}% confident that the audio contains high-severity ${label}`
       );
     }
 

fern/pages/03-audio-intelligence/key-phrases.mdx

@@ -122,7 +122,7 @@ const run = async () => {
       .map(({ start, end }) => `[Timestamp(start=${start}, end=${end})]`)
       .join(", ");
     console.log(
-      `Highlight: ${result.text}, Count: ${result.count}, Rank ${result.rank}, Timestamps: ${timestamps}`,
+      `Highlight: ${result.text}, Count: ${result.count}, Rank ${result.rank}, Timestamps: ${timestamps}`
     );
   }
 };
@@ -177,7 +177,7 @@ while (true) {
         .map(({ start, end }) => `[Timestamp(start=${start}, end=${end})]`)
         .join(", ");
       console.log(
-        `Highlight: ${result.text}, Count: ${result.count}, Rank: ${result.rank}, Timestamps: ${timestamps}`,
+        `Highlight: ${result.text}, Count: ${result.count}, Rank: ${result.rank}, Timestamps: ${timestamps}`
       );
     }
     break;

fern/pages/03-audio-intelligence/pii-redaction.mdx

@@ -654,7 +654,7 @@ const run = async () => {
   const transcript = await client.transcripts.transcribe(params);
 
   const { status, redacted_audio_url } = await client.transcripts.redactedAudio(
-    transcript.id,
+    transcript.id
   );
 
   console.log(`Status: ${status}, Redacted audio URL: ${redacted_audio_url}`);
@@ -700,7 +700,7 @@ while (true) {
     redactedAudioPollingEndpoint,
     {
       headers: headers,
-    },
+    }
   );
   const redactedAudioResult = redactedAudioPollingResponse.data;
 

fern/pages/03-audio-intelligence/sentiment-analysis.mdx

@@ -181,7 +181,7 @@ while (true) {
       console.log(sentimentResult.sentiment); // POSITIVE, NEUTRAL, or NEGATIVE
       console.log(sentimentResult.confidence);
       console.log(
-        `Timestamp: ${sentimentResult.start} - ${sentimentResult.end}`,
+        `Timestamp: ${sentimentResult.start} - ${sentimentResult.end}`
       );
     }
   } else if (transcriptionResult.status === "error") {

fern/pages/03-audio-intelligence/topic-detection.mdx

@@ -144,7 +144,7 @@ const run = async () => {
   for (const result of transcript.iab_categories_result!.results) {
     console.log(result.text);
     console.log(
-      `Timestamp: ${result.timestamp?.start} - ${result.timestamp?.end}`,
+      `Timestamp: ${result.timestamp?.start} - ${result.timestamp?.end}`
     );
     for (const label of result.labels!) {
       console.log(`${label.label} (${label.relevance})`);
@@ -153,7 +153,7 @@ const run = async () => {
 
   // Get a summary of all topics in the transcript
   for (const [topic, relevance] of Object.entries(
-    transcript.iab_categories_result!.summary,
+    transcript.iab_categories_result!.summary
   )) {
     console.log(`Audio is ${relevance * 100} relevant to ${topic}`);
   }
@@ -208,7 +208,7 @@ while (true) {
     for (const result of transcriptionResult.iab_categories_result.results!) {
       console.log(result.text);
       console.log(
-        `Timestamp: ${result.timestamp.start} - ${result.timestamp.end}`,
+        `Timestamp: ${result.timestamp.start} - ${result.timestamp.end}`
       );
 
       for (const label of result.labels) {
@@ -217,7 +217,7 @@ while (true) {
     }
     // Get a summary of all topics in the transcript
     for (const [topic, relevance] of Object.entries(
-      transcriptionResult.iab_categories_result.summary,
+      transcriptionResult.iab_categories_result.summary
     )) {
       console.log(`Audio is ${relevance * 100} relevant to ${topic}`);
     }

fern/pages/04-lemur/apply-llms-to-audio-files.mdx

@@ -909,7 +909,7 @@ const transcript = await client.transcripts.get("YOUR_TRANSCRIPT_ID");
 const transcript = (
   await axios.get(
     "https://api.assemblyai.com/v2/transcript/YOUR_TRANSCRIPT_ID",
-    { headers },
+    { headers }
   )
 ).data;
 ```
@@ -1086,7 +1086,7 @@ const lemur_data = {
 const result = await axios.post(
   base_url + "/lemur/v3/generate/task",
   lemur_data,
-  { headers },
+  { headers }
 );
 ```