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| 1 | +import * as traceloop from "@traceloop/node-server-sdk"; |
| 2 | + |
| 3 | +const main = async () => { |
| 4 | + traceloop.initialize({ |
| 5 | + appName: "sample_dataset_files", |
| 6 | + apiKey: process.env.TRACELOOP_API_KEY, |
| 7 | + disableBatch: true, |
| 8 | + traceloopSyncEnabled: true, |
| 9 | + }); |
| 10 | + |
| 11 | + try { |
| 12 | + await traceloop.waitForInitialization(); |
| 13 | + } catch (error) { |
| 14 | + console.error( |
| 15 | + "Failed to initialize Traceloop SDK:", |
| 16 | + error instanceof Error ? error.message : String(error), |
| 17 | + ); |
| 18 | + process.exit(1); |
| 19 | + } |
| 20 | + |
| 21 | + const client = traceloop.getClient(); |
| 22 | + if (!client) { |
| 23 | + console.error("Failed to initialize Traceloop client"); |
| 24 | + return; |
| 25 | + } |
| 26 | + |
| 27 | + console.log("Dataset with Attachments Sample"); |
| 28 | + console.log("================================\n"); |
| 29 | + |
| 30 | + try { |
| 31 | + // 1. Create a new dataset for documents |
| 32 | + console.log("Creating dataset..."); |
| 33 | + const dataset = await client.datasets.create({ |
| 34 | + name: `documents-dataset-${Date.now()}`, |
| 35 | + description: "Dataset with file attachments", |
| 36 | + }); |
| 37 | + console.log(`Created dataset: ${dataset.name} (slug: ${dataset.slug})\n`); |
| 38 | + |
| 39 | + // 2. Add columns including a file column |
| 40 | + console.log("Adding columns..."); |
| 41 | + await dataset.addColumn([ |
| 42 | + { name: "title", type: "string", required: true }, |
| 43 | + { name: "category", type: "string" }, |
| 44 | + { name: "document", type: "file" }, |
| 45 | + { name: "processed", type: "boolean" }, |
| 46 | + ]); |
| 47 | + console.log("Added 4 columns (including file type)\n"); |
| 48 | + |
| 49 | + // 3. Add row with external URL attachment |
| 50 | + console.log("Adding row with external URL attachment..."); |
| 51 | + const externalRows = await dataset.addRows([ |
| 52 | + { |
| 53 | + title: "Sample PDF Document", |
| 54 | + category: "documentation", |
| 55 | + document: traceloop.attachment.url( |
| 56 | + "https://www.w3.org/WAI/WCAG21/Techniques/pdf/img/table-word.jpg", |
| 57 | + { |
| 58 | + fileType: "image", |
| 59 | + metadata: { source: "w3.org" }, |
| 60 | + }, |
| 61 | + ), |
| 62 | + processed: false, |
| 63 | + }, |
| 64 | + ]); |
| 65 | + console.log(`Added row with external attachment\n`); |
| 66 | + |
| 67 | + // Check the attachment reference |
| 68 | + const externalRow = externalRows[0]; |
| 69 | + const externalRef = externalRow.getAttachment("document"); |
| 70 | + if (externalRef) { |
| 71 | + console.log(` Storage type: ${externalRef.storageType}`); |
| 72 | + console.log(` File type: ${externalRef.fileType}`); |
| 73 | + console.log(` URL: ${externalRef.url}\n`); |
| 74 | + } |
| 75 | + |
| 76 | + // 4. Add row with buffer attachment |
| 77 | + console.log("Adding row with buffer attachment..."); |
| 78 | + const textContent = "This is sample text content for the document."; |
| 79 | + const bufferRows = await dataset.addRows([ |
| 80 | + { |
| 81 | + title: "Text Document", |
| 82 | + category: "notes", |
| 83 | + document: traceloop.attachment.buffer( |
| 84 | + Buffer.from(textContent), |
| 85 | + "notes.txt", |
| 86 | + { |
| 87 | + contentType: "text/plain", |
| 88 | + metadata: { author: "sample-app" }, |
| 89 | + }, |
| 90 | + ), |
| 91 | + processed: true, |
| 92 | + }, |
| 93 | + ]); |
| 94 | + console.log(`Added row with buffer attachment\n`); |
| 95 | + |
| 96 | + const bufferRow = bufferRows[0]; |
| 97 | + const bufferRef = bufferRow.getAttachment("document"); |
| 98 | + if (bufferRef) { |
| 99 | + console.log(` Storage type: ${bufferRef.storageType}`); |
| 100 | + console.log(` File type: ${bufferRef.fileType}\n`); |
| 101 | + } |
| 102 | + |
| 103 | + // 5. Add row without attachment, then set it later |
| 104 | + console.log("Adding row and setting attachment later..."); |
| 105 | + const emptyRows = await dataset.addRows([ |
| 106 | + { |
| 107 | + title: "Document to update", |
| 108 | + category: "pending", |
| 109 | + document: null, |
| 110 | + processed: false, |
| 111 | + }, |
| 112 | + ]); |
| 113 | + |
| 114 | + const rowToUpdate = emptyRows[0]; |
| 115 | + const updatedRef = await rowToUpdate.setAttachment( |
| 116 | + "document", |
| 117 | + traceloop.attachment.url("https://example.com/updated-document.pdf", { |
| 118 | + fileType: "file", |
| 119 | + }), |
| 120 | + ); |
| 121 | + console.log(`Set attachment on existing row`); |
| 122 | + console.log(` Storage type: ${updatedRef.storageType}\n`); |
| 123 | + |
| 124 | + // 6. Get all rows and display summary |
| 125 | + console.log("Dataset summary:"); |
| 126 | + const allRows = await dataset.getRows(); |
| 127 | + console.log(` Total rows: ${allRows.length}`); |
| 128 | + |
| 129 | + for (const row of allRows) { |
| 130 | + const att = row.getAttachment("document"); |
| 131 | + console.log( |
| 132 | + ` - ${row.data.title}: ${att ? att.storageType : "no attachment"}`, |
| 133 | + ); |
| 134 | + } |
| 135 | + |
| 136 | + // 7. Clean up |
| 137 | + console.log("\nCleaning up..."); |
| 138 | + await client.datasets.delete(dataset.slug); |
| 139 | + console.log(`Deleted dataset: ${dataset.slug}`); |
| 140 | + |
| 141 | + console.log("\nSample completed successfully!"); |
| 142 | + } catch (error) { |
| 143 | + console.error( |
| 144 | + "Error:", |
| 145 | + error instanceof Error ? error.message : String(error), |
| 146 | + ); |
| 147 | + if (error instanceof Error && error.stack) { |
| 148 | + console.error("Stack:", error.stack); |
| 149 | + } |
| 150 | + } |
| 151 | +}; |
| 152 | + |
| 153 | +main().catch((error) => { |
| 154 | + console.error("Application failed:", error.message); |
| 155 | + process.exit(1); |
| 156 | +}); |
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