enabling more tests

packages/sample/genaisrc/assistant.genai.mjs

@@ -5,4 +5,5 @@ script({
     },
 })
 $`Say something.`
-assistant("Hello, world!")
+$`hello`.role("assistant")
+assistant("world!")

packages/sample/genaisrc/dup.genai.mjs

@@ -1,15 +1,10 @@
-script({
-    choices: ["FAIL", "SUCCESS"],
-    tests: {
-        keywords: "SUCCESS",
-    },
-})
+script({})
 def("FILE", "hello world")
 def("FILE", "hello world")
 
 defOutputProcessor((output) => {
-    const msg = output.messages.find(m => m.role === "user")
+    const msg = output.messages.find((m) => m.role === "user")
     console.log({ msg })
-    const fileCount = (msg.content.match(/<FILE>/g) || []).length;
+    const fileCount = (msg.content.match(/<FILE>/g) || []).length
     if (fileCount > 2) throw new Error("Too many files")
 })

packages/sample/genaisrc/poemfile.genai.mjs

@@ -1,3 +1,6 @@
+script({
+    tests: {}
+})
 console.log({ runDir: env.runDir })
 $`Generate a 1 sentence poem and save it to a text file.`
 defFileOutput("poem.txt", "the generated poem")

packages/sample/genaisrc/pyodide.genai.mjs

@@ -1,3 +1,7 @@
+script({
+    model:"small",
+    tests: {}
+})
 const py = await host.python()
 const version = await py.run(`import sys
                               sys.version`)

packages/sample/genaisrc/readxl10.genai.mjs

@@ -2,6 +2,10 @@ script({
     title: "readxl10",
     group: "spreadsheets",
     system: ["system"],
+    files: "src/penguins.xlsx",
+    tests: {
+        files: "src/penguins.xlsx",
+    },
 })
 
 const sheets = await parsers.XLSX(env.files[0])

packages/sample/genaisrc/schema_tool.genai.mjs

@@ -1,6 +1,9 @@
 script({
     tools: ["data_infer_schema"],
     files: ["src/sample.json"],
+    tests: {
+        files: ["src/sample.json"],
+    },
 })
 
 const file = env.files[0]

packages/sample/genaisrc/synthlang.genai.mjs

@@ -60,7 +60,6 @@ MODEL: "Chinese: '山'. English summary: 'The mountain is beautiful in spring.'"
 - If conflicting modifiers appear, address whichever has higher priority (p=5 > p=2).
 - If no clear resolution, ask the user for clarification.`.role("system")
 
-
 $`
 # Blog post generation with SEO optimization
 ↹ topic"AI in Healthcare" @industry_context

packages/sample/genaisrc/technical.genai.js

@@ -4,6 +4,10 @@ script({
     group: "documentation",
     system: ["system.files", "system.technical"],
     temperature: 0,
+    files: "src/rag/markdown.md",
+    tests: {
+        files: "src/rag/markdown.md",
+    },
 })
 
 def("FILE", env.files)

packages/sample/genaisrc/think.genai.mjs

@@ -1,5 +1,5 @@
 script({
-    model: "ollama:deepseek-r1:1.5b"
+    model: "ollama:deepseek-r1:1.5b",
 })
 
 $`Think about a new joke and recite it.`

packages/sample/genaisrc/transformers-all.genai.mjs

@@ -1,5 +1,6 @@
 script({
     files: [],
+    tests: {},
 })
 
 import { pipeline, env as transformersEnv } from "@huggingface/transformers"

packages/sample/genaisrc/transformers-rank.genai.mts

@@ -1,25 +1,28 @@
 script({
-    files: "src/rag/*"
+    files: "src/rag/*",
+    tests: {},
 })
 
-import { pipeline, cos_sim } from '@huggingface/transformers';
+import { pipeline, cos_sim } from "@huggingface/transformers"
 
-const featureExtractor = await pipeline('feature-extraction');
+const featureExtractor = await pipeline("feature-extraction")
 
 // Function to rank documents
 async function rank(query: string, files: WorkspaceFile[]) {
-    const documents = files.map(({ content }) => content);
+    const documents = files.map(({ content }) => content)
     const queryEmbedding = (await featureExtractor(query)).tolist()[0][0]
-    const similarities = await Promise.all(documents.map(async (doc, i) => {
-        const docEmbedding = (await featureExtractor(doc)).tolist()[0][0]
-        const score = cos_sim(queryEmbedding, docEmbedding);
-        return { file: files[i], score };
-    }));
-    similarities.sort((a, b) => b.score - a.score);
+    const similarities = await Promise.all(
+        documents.map(async (doc, i) => {
+            const docEmbedding = (await featureExtractor(doc)).tolist()[0][0]
+            const score = cos_sim(queryEmbedding, docEmbedding)
+            return { file: files[i], score }
+        })
+    )
+    similarities.sort((a, b) => b.score - a.score)
     return similarities
 }
 
 // Example usage
-const query = "What is markdown?";
+const query = "What is markdown?"
 const rankedDocs = await rank(query, env.files)
-console.log(rankedDocs)
+console.log(rankedDocs)

packages/sample/genaisrc/transformers.genai.mjs

@@ -1,5 +1,6 @@
 script({
     model: "transformers:onnx-community/Qwen2.5-Coder-0.5B-Instruct:q4",
+    tests: {},
 })
 
 const res = await runPrompt(

packages/sample/genaisrc/video-agent.genai.mjs

@@ -1,6 +1,9 @@
 script({
     tools: ["agent_video"],
     files: "src/audio/helloworld.mp4",
+    tests: {
+        files: "src/audio/helloworld.mp4",
+    },
 })
 
 const file = env.files[0]

packages/sample/genaisrc/video-frames.genai.mjs

@@ -1,6 +1,9 @@
 script({
     tools: "video_extract_frames",
     files: "src/audio/helloworld.mp4",
+    tests: {
+        files: "src/audio/helloworld.mp4",
+    },
 })
 const frames = await ffmpeg.extractFrames(env.files[0], { count: 10 })
 defImages(frames)

packages/sample/genaisrc/video.genai.mjs

@@ -1,5 +1,6 @@
 script({
     tools: "video_extract_frames",
+    tests: {},
 })
 const info = await ffmpeg.probe("src/audio/helloworld.mp4")
 console.log(JSON.stringify(info, null, 2))