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import logging
import pathlib
import re
import tempfile
from typing import List, Tuple
import json5
import pptx
from pptx.enum.shapes import MSO_AUTO_SHAPE_TYPE
from global_config import GlobalConfig
# English Metric Unit (used by PowerPoint) to inches
EMU_TO_INCH_SCALING_FACTOR = 1.0 / 914400
INCHES_1_5 = pptx.util.Inches(1.5)
INCHES_1 = pptx.util.Inches(1)
INCHES_0_5 = pptx.util.Inches(0.5)
INCHES_0_4 = pptx.util.Inches(0.4)
INCHES_0_3 = pptx.util.Inches(0.3)
STEP_BY_STEP_PROCESS_MARKER = '>> '
PATTERN = re.compile(r"^slide[ ]+\d+:", re.IGNORECASE)
SAMPLE_JSON_FOR_PPTX = '''
{
"title": "Understanding AI",
"slides": [
{
"heading": "Introduction",
"bullet_points": [
"Brief overview of AI",
[
"Importance of understanding AI"
]
]
}
]
}
'''
logger = logging.getLogger(__name__)
def remove_slide_number_from_heading(header: str) -> str:
"""
Remove the slide number from a given slide header.
:param header: The header of a slide.
"""
if PATTERN.match(header):
idx = header.find(':')
header = header[idx + 1:]
return header
def generate_powerpoint_presentation(
structured_data: str,
slides_template: str,
output_file_path: pathlib.Path
) -> List:
"""
Create and save a PowerPoint presentation file containing the content in JSON format.
:param structured_data: The presentation contents as "JSON" (may contain trailing commas).
:param slides_template: The PPTX template to use.
:param output_file_path: The path of the PPTX file to save as.
:return A list of presentation title and slides headers.
"""
# The structured "JSON" might contain trailing commas, so using json5
parsed_data = json5.loads(structured_data)
logger.debug(
'*** Using PPTX template: %s',
GlobalConfig.PPTX_TEMPLATE_FILES[slides_template]['file']
)
presentation = pptx.Presentation(GlobalConfig.PPTX_TEMPLATE_FILES[slides_template]['file'])
slide_width_inch = EMU_TO_INCH_SCALING_FACTOR * presentation.slide_width
slide_height_inch = EMU_TO_INCH_SCALING_FACTOR * presentation.slide_height
logger.debug('Slide width: %f, height: %f', slide_width_inch, slide_height_inch)
# The title slide
title_slide_layout = presentation.slide_layouts[0]
slide = presentation.slides.add_slide(title_slide_layout)
title = slide.shapes.title
subtitle = slide.placeholders[1]
title.text = parsed_data['title']
logger.info(
'PPT title: %s | #slides: %d',
title.text, len(parsed_data['slides'])
)
subtitle.text = 'by Myself and SlideDeck AI :)'
all_headers = [title.text, ]
# background = slide.background
# background.fill.solid()
# background.fill.fore_color.rgb = RGBColor.from_string('C0C0C0') # Silver
# title.text_frame.paragraphs[0].font.color.rgb = RGBColor(0, 0, 128) # Navy blue
# Add contents in a loop
for a_slide in parsed_data['slides']:
bullet_slide_layout = presentation.slide_layouts[1]
slide = presentation.slides.add_slide(bullet_slide_layout)
if not _handle_step_by_step_process(
slide=slide,
slide_json=a_slide,
slide_width_inch=slide_width_inch,
slide_height_inch=slide_height_inch,
):
_handle_default_display(slide, a_slide)
_handle_key_message(
slide=slide,
slide_json=a_slide,
slide_width_inch=slide_width_inch,
slide_height_inch=slide_height_inch,
)
# The thank-you slide
last_slide_layout = presentation.slide_layouts[0]
slide = presentation.slides.add_slide(last_slide_layout)
title = slide.shapes.title
title.text = 'Thank you!'
presentation.save(output_file_path)
return all_headers
def get_flat_list_of_contents(items: list, level: int) -> List[Tuple]:
"""
Flatten a (hierarchical) list of bullet points to a single list containing each item and
its level.
:param items: A bullet point (string or list).
:param level: The current level of hierarchy.
:return: A list of (bullet item text, hierarchical level) tuples.
"""
flat_list = []
for item in items:
if isinstance(item, str):
flat_list.append((item, level))
elif isinstance(item, list):
flat_list = flat_list + get_flat_list_of_contents(item, level + 1)
return flat_list
def _handle_default_display(
slide: pptx.slide.Slide,
slide_json: dict,
):
"""
Display a list of text in a slide.
:param slide: The slide to be processed.
:param slide_json: The content of the slide as JSON data.
"""
shapes = slide.shapes
title_shape = shapes.title
body_shape = shapes.placeholders[1]
title_shape.text = remove_slide_number_from_heading(slide_json['heading'])
text_frame = body_shape.text_frame
# The bullet_points may contain a nested hierarchy of JSON arrays
# In some scenarios, it may contain objects (dictionaries) because the LLM generated so
# ^ The second scenario is not covered
flat_items_list = get_flat_list_of_contents(slide_json['bullet_points'], level=0)
for an_item in flat_items_list:
paragraph = text_frame.add_paragraph()
paragraph.text = an_item[0].removeprefix(STEP_BY_STEP_PROCESS_MARKER)
paragraph.level = an_item[1]
def _handle_step_by_step_process(
slide: pptx.slide.Slide,
slide_json: dict,
slide_width_inch: float,
slide_height_inch: float
) -> bool:
"""
Add shapes to display a step-by-step process in the slide, if available.
:param slide: The slide to be processed.
:param slide_json: The content of the slide as JSON data.
:param slide_width_inch: The width of the slide in inches.
:param slide_height_inch: The height of the slide in inches.
:return True is this slide has a step-by-step process depiction; False otherwise.
"""
if 'bullet_points' in slide_json and slide_json['bullet_points']:
steps = slide_json['bullet_points']
# Ensure that it is a single list of strings without any sub-list
for step in steps:
if not isinstance(step, str):
return False
if not step.startswith(STEP_BY_STEP_PROCESS_MARKER):
return False
shapes = slide.shapes
shapes.title.text = remove_slide_number_from_heading(slide_json['heading'])
n_steps = len(steps)
if 3 <= n_steps <= 4:
# Horizontal display
height = INCHES_1_5
width = pptx.util.Inches(slide_width_inch / n_steps - 0.01)
top = pptx.util.Inches(slide_height_inch / 2)
left = pptx.util.Inches((slide_width_inch - width.inches * n_steps) / 2 + 0.05)
for step in steps:
shape = shapes.add_shape(MSO_AUTO_SHAPE_TYPE.CHEVRON, left, top, width, height)
shape.text = step.removeprefix(STEP_BY_STEP_PROCESS_MARKER)
left += width - INCHES_0_4
elif n_steps > 4:
# Vertical display
height = pptx.util.Inches(0.65)
width = pptx.util.Inches(slide_width_inch * 2/ 3)
top = pptx.util.Inches(slide_height_inch / 4)
left = INCHES_1 # slide_width_inch - width.inches)
for step in steps:
shape = shapes.add_shape(MSO_AUTO_SHAPE_TYPE.PENTAGON, left, top, width, height)
shape.text = step.removeprefix(STEP_BY_STEP_PROCESS_MARKER)
top += height + INCHES_0_3
left += INCHES_0_5
else:
# Two steps -- probably not a process
return False
return True
def _handle_key_message(
slide: pptx.slide.Slide,
slide_json: dict,
slide_width_inch: float,
slide_height_inch: float
):
"""
Add a shape to display the key message in the slide, if available.
:param slide: The slide to be processed.
:param slide_json: The content of the slide as JSON data.
:param slide_width_inch: The width of the slide in inches.
:param slide_height_inch: The height of the slide in inches.
"""
if 'key_message' in slide_json and slide_json['key_message']:
height = pptx.util.Inches(1.6)
width = pptx.util.Inches(slide_width_inch / 2.3)
top = pptx.util.Inches(slide_height_inch - height.inches - 0.1)
left = pptx.util.Inches((slide_width_inch - width.inches) / 2)
shape = slide.shapes.add_shape(
MSO_AUTO_SHAPE_TYPE.ROUNDED_RECTANGLE,
left=left,
top=top,
width=width,
height=height
)
shape.text = slide_json['key_message']
if __name__ == '__main__':
_JSON_DATA = '''
{
"title": "Understanding AI",
"slides": [
{
"heading": "Introduction",
"bullet_points": [
"Brief overview of AI",
[
"Importance of understanding AI"
]
],
"key_message": ""
},
{
"heading": "What is AI?",
"bullet_points": [
"Definition of AI",
[
"Types of AI",
[
"Narrow or weak AI",
"General or strong AI"
]
],
"Differences between AI and machine learning"
],
"key_message": ""
},
{
"heading": "How AI Works",
"bullet_points": [
"Overview of AI algorithms",
[
"Types of AI algorithms",
[
"Rule-based systems",
"Decision tree systems",
"Neural networks"
]
],
"How AI processes data"
],
"key_message": ""
},
{
"heading": "Building AI Models",
"bullet_points": [
">> Collect data",
">> Select model or architecture to use",
">> Set appropriate parameters",
">> Train model with data",
">> Run inference",
],
"key_message": ""
},
{
"heading": "Pros of AI",
"bullet_points": [
"Increased efficiency and productivity",
"Improved accuracy and precision",
"Enhanced decision-making capabilities",
"Personalized experiences"
],
"key_message": "AI can be used for many different purposes"
},
{
"heading": "Cons of AI",
"bullet_points": [
"Job displacement and loss of employment",
"Bias and discrimination",
"Privacy and security concerns",
"Dependence on technology"
],
"key_message": ""
},
{
"heading": "Future Prospects of AI",
"bullet_points": [
"Advancements in fields such as healthcare and finance",
"Increased use"
],
"key_message": ""
}
]
}'''
temp = tempfile.NamedTemporaryFile(delete=False, suffix='.pptx')
path = pathlib.Path(temp.name)
generate_powerpoint_presentation(
json5.loads(_JSON_DATA),
output_file_path=path,
slides_template='Basic'
)
print(f'File path: {path}')
temp.close()
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