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DEVUP Summary Generator

DEVUP Summary Generator

BARATH VISHNU J

| (0) | Free
Generate executive-ready conference summaries & Dashboards from documents ( .txt, .md, .docx, .pptx, .pdf, .csv, .xlsx) using GitHub Copilot.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

DEVUP-Summary-Generator Extension

Generates executive-ready conference summaries from documents and presentations .

For CSV and XLSX files, generates an interactive HTML dashboard with data analysis, key metrics, insights, and visualization recommendations.

For ZIP files, extracts and summarizes contents without storing unzipped files.

Output structure follows the DEVUPSummaryGenerator.agent.md template.

Supported File Types

Type Output Description
.txt, .md Markdown summary Plain text and markdown notes
.docx Markdown summary Word documents
.pptx Markdown summary PowerPoint presentations (highest priority)
.pdf Markdown summary PDF documents
.xlsx, .xls HTML Dashboard Excel spreadsheets with data analysis
.csv HTML Dashboard CSV files with metrics, insights, and chart recommendations
.zip Summary/Dashboard Extracts and processes files inside (prompts for file selection)

Requirements

  • VS Code 1.95+
  • GitHub Copilot Chat extension installed and signed in (this extension calls vscode.lm which is backed by Copilot).
  • An active Copilot subscription (Business / Enterprise / Individual).

Build & run (development)

cd vscode-extension
npm install
npm run compile

Then in VS Code: open the vscode-extension folder, press F5 to launch an Extension Development Host. In the new window, right-click any supported file in the Explorer and choose "Generate Summary".

Output Location

All generated files are saved to a summary_output folder in your workspace:

  • Document summaries: summary_output/<filename>_summary.md
  • Data dashboards: summary_output/<filename>_dashboard.html

If a file with the same name already exists, a numbered suffix is added (e.g., _1, _2).

Dashboard Display: Dashboards open directly in a VS Code webview panel for immediate viewing.

You can also multi-select several files (e.g. slides + audio recording) belonging to one session; they are merged by priority (slides > PDF > Excel > Word > notes) and the first file's name is used for the output.

ZIP File Support

When you right-click a ZIP file and select "Generate Summary":

  1. Single file inside: Processes immediately
  2. Multiple files inside: Shows a picker dialog where you can:
    • Select "All Files" to process each file individually
    • Pick specific files by name
    • Multi-select specific files

Individual Processing: Each selected file generates its own output:

  • Document files (.pptx, .docx, .pdf, .txt, .md) → filename_summary.md
  • Data files (.csv, .xlsx) → filename_dashboard.html

No disk extraction: Files are extracted in memory only — no unzipped folders are created.

CSV/XLSX Dashboard Features

When you select a CSV or XLSX file, Transcripter generates a comprehensive HTML dashboard including:

  • Executive Summary — Key findings at a glance
  • Key Metrics — Important numbers and KPIs extracted from the data
  • Data Insights — Patterns, trends, and anomalies discovered
  • Recommended Visualizations — Chart types that would best represent the data
  • Data Quality Assessment — Completeness score and data quality issues
  • Column Details — Data types and statistics for each column

How it works (high-quality, deterministic output)

To guarantee the exact 9-section template every time, the extension does not let the model free-write markdown. Instead:

  1. Extract text from each file (src/extractors/).
  2. Aggregate sources into one priority-labeled prompt body (pptx > pdf > docx > text).
  3. Structured generation — Copilot is asked to return JSON matching ConferenceSummary (src/summary/schema.ts).
  4. Normalize & repair — the JSON is coerced into a fully-valid object; missing fields become NA / empty arrays (no crashes on partial output).
  5. Deterministic render — src/summary/renderer.ts turns the object into the exact 9-section markdown (a faithful port of the Python renderer.py).
  6. Fallback — if the model can't produce parseable JSON, it is asked to emit the markdown template directly.

This mirrors the Python CLI's structured-output design, so the extension and the CLI produce an identical output structure.

Supported inputs

.txt, .md, .docx, .pptx — optimized for conference slides, Word notes/papers, and plain-text transcripts/notes.

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