Build support for an AI-generated PowerPoint workflow that uses a company/default enterprise PowerPoint template as the required starting point.

Context from user:

• Repository: devendrabogati/python-pptx
• Branch/ref: master
• The user is building AI-generated PPTs.
• Their company has a default enterprise template that must be used by an LLM-generated presentation workflow.

Required outcome:

1. Add or document a practical implementation pattern for generating presentations from structured LLM output while always loading an existing enterprise .pptx template via Presentation(template_path) rather than starting from Presentation().
2. The solution should emphasize using slide layouts and placeholders from the enterprise template, because python-pptx treats a template as a normal PowerPoint file with slides removed/kept as desired; themes, slide masters, layouts, branding, logos, fonts, and placeholder formatting are preserved from the starting deck.
3. Provide code utilities/examples that:
   • Inspect available slide layouts and placeholder idx, name, and type values in the enterprise template.
   • Map LLM JSON slide types such as title, bullets, image, chart, and table to specific template layout indices and placeholder indices.
   • Render text into title/body placeholders.
   • Insert pictures into picture placeholders when available.
   • Insert tables/charts into table/chart placeholders when available, otherwise use slide.shapes.add_table() / slide.shapes.add_chart() as fallback.
   • Add speaker notes from LLM output.
   • Save the generated .pptx output.
4. Include a clear requirements/specification document for the company/enterprise-template LLM workflow, covering:
   • Inputs: topic/prompt, template path, optional data/images, structured LLM JSON.
   • Template requirements: layouts, placeholder names/idx, aspect ratio, theme colors, corporate fonts, logos, notes master.
   • LLM output schema: title, subtitle, slides array, slide type, bullets, table data, chart data, images, notes.
   • Validation rules: max bullets, max words per bullet, required placeholders, allowed chart types, image path validation, fallback behavior.
   • Generation pipeline: prompt -> LLM JSON -> validation -> python-pptx renderer -> enterprise template -> output .pptx.
   • Risks/limitations: python-pptx limited animation/transition/SmartArt support, placeholder references become invalid after rich-content insertion, template layout indices must be discovered rather than assumed.
5. Add tests if appropriate for any new utility code.

Important implementation guidance based on python-pptx docs:

• Load enterprise template with prs = Presentation("enterprise_template.pptx").
• Use prs.slide_layouts[index] but do not assume built-in indices if using a custom template; provide an inspection step.
• Access placeholders using slide.placeholders[idx]; this uses placeholder idx, not list position.
• Picture/table/chart placeholder insertion methods replace the original placeholder reference, so use returned objects after insertion.
• Charts are contained in a graphic frame; slide.shapes.add_chart(...).chart accesses the chart.
• Tables are contained in a graphic frame; slide.shapes.add_table(...).table accesses the table.
• Use theme/template styles wherever possible rather than hard-coded formatting.

The following is the prior conversation context from the user's chat exploration (may be truncated):

User: can u teach complete python-pptx

Assistant: Absolutely — I can teach you python-pptx from beginner to practical advanced usage.

python-pptx is a Python library used to create, edit, and automate PowerPoint .pptx files. It is useful for AI-generated PPTs, reports, dashboards, business presentations, chart decks, and automated slide generation.

1. Install python-pptx

pip install python-pptx

Main dependencies include:

• lxml
• Pillow
• XlsxWriter for charts

2. Basic Idea of python-pptx

Everything starts with a Presentation object.

from pptx import Presentation

prs = Presentation()
prs.save("output.pptx")

This creates a blank PowerPoint file using the default template.

You can also open an existing PowerPoint file:

from pptx import Presentation

prs = Presentation("template.pptx")
prs.save("new_output.pptx")

This is very important for AI-generated PPTs because you can use a branded company template.

3. Slides and Slide Layouts

Every slide is created from a slide layout.

Common default layouts:

Example:

from pptx import Presentation

prs = Pre...

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