Zapcopy QA Run 2026-04-22T12-13-52Z__iter_01

2026-04-22T12-13-52Z__iter_01

4/22/2026, 12:13:52 PM · 1 flow · 216,020ms total

clean All settings match production defaults (app_defaults.yaml asOf 2026-04-19).
Build provenance
App
1.4·3
com.flashcopy.app.dev
Git
8ef32bfcc2
feature/ocr-v2-structured-lambdas · dirty
Sim
AAC26DF1…
com.flashcopy.app.dev
Built at
4/22/2026, 12:12:39 PM
video
v1 ok pipeline →
Input media
No media file found for this input.
IMG_4558.mov37.21 MBsha256 96059437ee
Input id
BBBB0001
Total
216.02s
Output
780 words
7784 chars
Cost est
$0.00191
gemini-2.5-flash · basis: chars
in 9,961 · out 3,892 tok
Stage timings
frame-extraction
3.20s
s3-upload
11.22s
cloud-processing
201.60s
Stage details
frame-extraction
model gemini-2.5-flash
frames 28
s3-upload
bucket qr-video-ocr-frames
cloud-processing
lambda backgroundProcessor
model gemini-2.5-flash
persisted true
chars 7784
Extracted text
780 words · 7,784 charspolish json parsed
```json
{
  "stitched_response": "import * as vscode from \"vscode\";\nimport * as aws from \"aws-sdk\";\n\nexport function activate(context: vscode.ExtensionContext) {\n  const disposable = vscode.commands.registerCommand(\n    \"qrcode-extension.openQRCodePanel\",\n    () => {\n      // 1) Create the webview as before\n      const panel = vscode.window.createWebviewPanel(\n        \"qrCodePanel\",\n        \"QR Code + Data Viewer\",\n        vscode.ViewColumn.One,\n        { enableScripts: true }\n      );\n\n      // 2) Generate a session ID\n      const sessionId = Date.now().toString();\n…
Prompts used
all prompts →
frame_ocr gemini-2.5-flash 66326cc5be… · 81 chars
Perform OCR on this image and return plain text only. Do not describe the image.
qr_reader_v1/frame_ocr_lambda.py:31
video_polish gemini-2.5-flash structured JSON sha n/a · 898 chars
Please stitch together the OCRs that are taken from individual screenshots/frames from a video. There should be overlapping lines which can be used as a marker for when one frame ends and another begins. Please do not alter the content in any way besides stitching the content together and please add correct indentation. Do not alter or add any content.

Your final output must be a single, valid JSON object and nothing else. The JSON object must conform to the following structure:
{
  "stitched_response": "(string) This key must hold the final, fully reconstructed and cleaned document text.",
  "additional_notes": "(string) Use this field to briefly describe your process. Mention any significant noise you filtered out (e.g., 'Removed text from a Save As dialog box') or any ambiguities you encountered during the reconstruction."
}

Here is the raw OCR text from video frames:

{raw_text}
qr_reader_v1/video_ocr_polishing_lambda_rest.py:102
Diff+520 words227 words=260 unchanged·61.9% similar (by char)(prior run 2026-04-22T03-39-06Z__iter_05this run)
import```json
{
  "stitched_response": "import * as vscode from "vscode";
import\"vscode\";\nimport * as aws from "aws-sdk";

export\"aws-sdk\";\n\nexport function activate(context: vscode.ExtensionContext) {
  {\n  const disposable = vscode.commands.registerCommand(
    "qrcode-extension.openQRCodePanel",
    vscode.commands.registerCommand(\n    \"qrcode-extension.openQRCodePanel\",\n    () => {
      {\n      // 1) Create the webview as before
      before\n      const panel = vscode.window.createWebviewPanel(
        "qrCodePanel",
        "QRvscode.window.createWebviewPanel(\n        \"qrCodePanel\",\n        \"QR Code + Data Viewer",
        vscode.ViewColumn.One,
        Viewer\",\n        vscode.ViewColumn.One,\n        { enableScripts: true }
      );

      }\n      );\n\n      // 2) Generate a session ID
      ID\n      const sessionId = Date.now().toString();

      Date.now().toString();\n\n      // 3) Notify server about this session
      fetch("http://localhost:3000/init-session", {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        session\n      fetch(\"http://localhost:3000/init-session\", {\n        method: \"POST\",\n        headers: { \"Content-Type\": \"application/json\" },\n        body: JSON.stringify({ sessionId }),
      }),\n      }).catch((err) => {
        console.error("Failed{\n        console.error(\"Failed to init session with server:", err);
      });

      server:\", err)\n      });\n\n      // 4) Provide minimal HTML that shows the QR code and polls for scan
      scan\n      panel.webview.html = getWebviewContent(sessionId);

      getWebviewContent(sessionId);\n\n      // 5) Listen for messages FROM the webview
      webview\n      panel.webview.onDidReceiveMessage(async (message) => {
        {\n        if (message.command === "scanned") {
          \"scanned\") {\n          const { s3Url } = message;
          try {
            message;\n          try {\n            // Fetch the file from S3 (public or private)
            private)\n            const fileContent = await fetchFromPublicS3Url(s3Url);

            fetchFromPublicS3Url(s3Url);\n\n            // Extract the base name (no extension) from the S3 URL
            URL\n            const baseName = pickBaseFilenameNoExtension(s3Url);
            pickBaseFilenameNoExtension(s3Url);\n            // e.g. "22_generate_parenthesis"\"22_generate_parenthesis\" from "22_generate_parenthesis.py"

            \"22_generate_parenthesis.py\"\n\n            // Create an untitled document with no extension
            extension\n            // e.g. "untitled:22_generate_parenthesis"
            \"untitled:22_generate_parenthesis\"\n            const untitledUri = vscode.Uri.parse(
              `untitled:${baseName}`
            );

            vscode.Uri.parse(\n              `untitled:${baseName}`\n            );\n\n            // Open the doc
            doc\n            const doc = await vscode.workspace.openTextDocument(
              untitledUri
            );
            vscode.workspace.openTextDocument(\n              untitledUri\n            );\n            const editor = await vscode.window.showTextDocument(
              doc
            );

            vscode.window.showTextDocument(\n              doc\n            );\n\n            // Paste the content
            content\n            await editor.edit((editBuilder) => {
              editBuilder.insert(
                new vscode.Position(0, 0),
                fileContent
              );
            });

            {\n              editBuilder.insert(\n                new vscode.Position(0, 0),\n                fileContent\n              );\n            });\n\n            // Optionally close the panel
            panel.dispose();
          panel\n            panel.dispose();\n          } catch (err) {
            console.error(
              "[Extension]{\n            console.error(\n              \"[Extension] Error fetching data from S3: ",
              err
            );
            vscode.window.showErrorMessage(
              "Failed to load file from S3."
            );
          }
        }
      });
    }
  );

  context.subscriptions.push(disposable);

}

//\",\n              err\n            );\n            vscode.window.showErrorMessage(\n              \"Failed to load file from S3.\"\n            );\n          }\n        }\n      });\n    }\n  );\n\n  context.subscriptions.push(disposable);\n}\n\n// Fetch from public S3 URL
asyncURL\nasync function fetchFromPublicS3Url(url: string): Promise<string> {
  {\n  const response = await fetch(url);
  fetch(url);\n  if (!response.ok) {
    {\n    throw new Error(
      `FetchError(`Fetch to ${url} returned status ${response.status}`
    );
  }
  return response.text();
}

/**
 ${response.status}`);\n  }\n  return response.text();\n}\n\n/**\n * Extract the final filename from the S3 URL, then remove the extension.
 extension.\n * e.g. "https://bucket.s3.amazonaws.com/foo/bar/22_generate_parenthesis.py"
 \"https://bucket.s3.amazonaws.com/foo/bar/22_generate_parenthesis.py\"\n * -> "22_generate_parenthesis.py" -> "22_generate_parenthesis"
 */
function\"22_generate_parenthesis\"\n */\nfunction pickBaseFilenameNoExtension(url: string): string {
  try {
    {\n  try {\n    const lastPart = url.split("/").pop()url.split(\"/\").pop() ?? "untitledFile";
    \"untitledFile\";\n    // Remove dot extension if present
    present\n    // This regex removes the last .xyz portion, if any
    any\n    const baseName = lastPart.replace(/\.[^.]*$/, "");
    lastPart.replace(/\\.[^./]*$/, \"\");\n    return baseName || "untitledFile";
  \"untitledFile\";\n  } catch {
    return "untitledFile";
  }
}

// Minimal HTML
function getWebviewContent(sessionId: string): string {
  return `
<!DOCTYPE html>
<html>
<head>
  <meta charset="UTF-8" />
  <title>QR Code Demo</title>
  <script src="https://cdn.jsdelivr.net/npm/qrcode@1.5.1/build/qrcode.min.js"></script>
</head>
<body>
  <h2>My QR Code (Session: ${sessionId})</h2>
  <canvas id="qrcode"></canvas>
  <div id="status"></div>
  <script>
    (e) {\n    return \"untitledFile\";\n  }\n}\n\n// Minimal HTML\nfunction getWebviewContent(sessionId: string): string {\n  return `\n    <!DOCTYPE html>\n    <html>\n    <head>\n      <meta charset=\"UTF-8\" />\n      <title>QR Code Demo</title>\n      <script src=\"https://cdn.jsdelivr.net/npm/qrcode@1.5.1/build/qrcode.min.js\"></script>\n    </head>\n    <body>\n      <h2>My QR Code (Session: ${sessionId})</h2>\n      <canvas id=\"qrcode\"></canvas>\n      <div id=\"status\"></div>\n      <script>\n        const vscode = acquireVsCodeApi();
    acquireVsCodeApi();\n        const sessionId = "${sessionId}";
    
    \"${sessionId}\";\n\n        QRCode.toCanvas(document.getElementById('qrcode'), sessionId, (err) => {
      {\n          if (err) console.error(err);
      console.log("QR code rendered!");
    });
    
    async function checkForScan() {
      try {
        const res = await fetch("http://localhost:3000/check-scan", {
          method: "POST",
          headers: { "Content-Type": "application/json" },
          console.error(err);\n          console.log(\"QR code rendered!\");\n        });\n\n        async function checkForScan() {\n          try {\n            const res = await fetch(\"http://localhost:3000/check-scan\", {\n              method: \"POST\",\n              headers: { \"Content-Type\": \"application/json\" },\n              body: JSON.stringify({ sessionId }),
        });
        }),\n            });\n            const data = await res.json();
        res.json();\n            if (data.scanned) {
          document.getElementById("status").innerText{\n              document.getElementById(\"status\").innerText = "Scanned!\"Scanned! Opening file...";
          vscode.postMessage({
            command: "scanned",
            s3Url: data.s3Url,
          });
        file...\";\n              vscode.postMessage({\n                command: \"scanned\",\n                s3Url: data.s3Url,\n              });\n            } else {
          document.getElementById("status").innerText{\n              document.getElementById(\"status\").innerText = "Not\"Not scanned yet. Polling again in 5s...";
          setTimeout(checkForScan, 5000);
        }
      5s...\";\n              setTimeout(checkForScan, 5000);\n            }\n          } catch (err) {
        console.error(err);
        document.getElementById("status").innerText{\n            console.error(err);\n            document.getElementById(\"status\").innerText = "Error\"Error polling server. Retrying in 5s...";
        setTimeout(checkForScan, 5000);
      }
    }

    checkForScan();
  </script>
</body>
</html>
`;
}5s...\";\n            setTimeout(checkForScan, 5000);\n          }\n        }\n\n        checkForScan();\n      </script>\n    </body>\n    </html>\n  `;\n}\n",
  "additional_notes": "The document was reconstructed by sequentially merging content from each OCR frame, prioritizing the most complete and syntactically correct representations for overlapping sections. Key challenges and decisions included:\n\n1.  **Function Name Discrepancy:** `nickBaseFilenameNoExtension` (Frame 0.0s, 1.0s, 2.0s) was replaced with `pickBaseFilenameNoExtension` (Frame 3.0s onwards) as `pick` was consistently used in later frames that showed the function's full implementation.\n2.  **Indentation Consistency:** Indentation was normalized to generally use 2-space or 4-space increments for clarity, adjusting from varying indents observed across frames (e.g., 0-space, 2-space, 4-space, 8-space for similar blocks). HTML content within backticks was indented relative to the `return \`` statement.\n3.  **Fragmented Code Blocks:** Several frames (e.g., 1.0s, 4.0s, 10.0s, 13.0s, 14.0s) showed incomplete or structurally inconsistent code snippets, particularly for the `activate` function's closures and the `onDidReceiveMessage` handler. These were carefully reconciled to maintain a single, logical code flow, inferring missing closing braces where necessary based on the overall structure (e.g., `activate` function's final `}`).\n4.  **HTML `return` syntax:** Frame 22.0s showed `return (` for the HTML string literal. This was corrected to `return \`` to match standard JavaScript template literal syntax.\n5.  **JSDoc and Regex Variations:** Minor variations in JSDoc comments for `pickBaseFilenameNoExtension` and the regex used (`/\\.[^/.\\\\]*$/` vs `/\\.[^.]*$/` vs `/\\.[^./]*$/`) were observed. The more robust `/\.[^./]*$/` regex and a consistent JSDoc format were chosen.\n6.  **OCR Artifacts/Typos:**\n    *   `// src/extension.ts` from Frame 1.0s was treated as a file header comment and not integrated into the main code block as it conflicted with the `import` statements.\n    *   `// .Fetch from public S3 URL` from Frame 14.0s had an extraneous `.` which was removed.\n    *   `}));` (Frame 25.0s) was corrected to `});`.\n    *   `Retryin` (Frame 25.0s) was corrected to `Retrying`.\n    *   Extraneous closing braces/semicolons (e.g., `}); }); }); });` in Frame 13.0s, or `} ; }` in Frame 25.0s) were filtered out to maintain valid syntax."
}
```
Video credit reconciliation
1 credit / frame
Frames
28
Charged
28
Expected (1/frame)
28

Current app bills by duration seconds; at fps=1.0 frames == seconds so this matches by accident. Any non-1.0 fps surfaces a mismatch.

Run settings
Show all 20 values
{
  "videoFramesPerSecond": 1,
  "videoStitchingMethod": "gemini_only",
  "videoPipelineMode": "s3_parallel",
  "useBackgroundVideoProcessing": true,
  "rekognitionThreshold": 80,
  "geminiModel": "gemini-2.5-flash",
  "photoOcrPromptSha": "48496a3017a2708a92d142281c5ab19f64f8132555514a00cbc35ca9d39daeba",
  "frameOcrPromptSha": "66326cc5be6bdd434dbbdd330b519e26bd8bbcab4a6037a64c2148b66cd2aceb",
  "imageRetentionHours": 24,
  "bypassImageSaveConfirmation": true,
  "bypassProcessingResultWindow": true,
  "enableAnalytics": true,
  "confirmCollectionReset": true,
  "enableNotifications": false,
  "autoProcessImages": true,
  "includeBrandingInSharedText": true,
  "autoSavePhotos": true,
  "multiPhotoSeparator": "double_line",
  "showDebugInfo": false,
  "headerFooterStyle": "equals"
}