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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, slide_height_inch = _get_slide_width_height_inches(presentation)
# 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, ]
# Add content in a loop
for a_slide in parsed_data['slides']:
is_processing_done = _handle_double_col_layout(
presentation=presentation,
slide_json=a_slide,
slide_width_inch=slide_width_inch,
slide_height_inch=slide_height_inch
)
if not is_processing_done:
is_processing_done = _handle_step_by_step_process(
presentation=presentation,
slide_json=a_slide,
slide_width_inch=slide_width_inch,
slide_height_inch=slide_height_inch
)
if not is_processing_done:
_handle_default_display(
presentation=presentation,
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(
presentation: pptx.Presentation,
slide_json: dict,
slide_width_inch: float,
slide_height_inch: float
):
"""
Display a list of text in a slide.
:param presentation: The presentation object.
: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.
"""
bullet_slide_layout = presentation.slide_layouts[1]
slide = presentation.slides.add_slide(bullet_slide_layout)
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 idx, an_item in enumerate(flat_items_list):
if idx == 0:
text_frame.text = an_item[0].removeprefix(STEP_BY_STEP_PROCESS_MARKER)
else:
paragraph = text_frame.add_paragraph()
paragraph.text = an_item[0].removeprefix(STEP_BY_STEP_PROCESS_MARKER)
paragraph.level = an_item[1]
_handle_key_message(
the_slide=slide,
slide_json=slide_json,
slide_height_inch=slide_height_inch,
slide_width_inch=slide_width_inch
)
def _handle_double_col_layout(
presentation: pptx.Presentation(),
slide_json: dict,
slide_width_inch: float,
slide_height_inch: float
) -> bool:
"""
Add a slide with a double column layout for comparison.
:param presentation: The presentation object.
: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 if double col layout has been added; False otherwise.
"""
if 'bullet_points' in slide_json and slide_json['bullet_points']:
double_col_content = slide_json['bullet_points']
if double_col_content and (
len(double_col_content) == 2
) and isinstance(double_col_content[0], dict) and isinstance(double_col_content[1], dict):
slide = presentation.slide_layouts[4]
slide = presentation.slides.add_slide(slide)
shapes = slide.shapes
title_placeholder = shapes.title
title_placeholder.text = remove_slide_number_from_heading(slide_json['heading'])
left_heading, right_heading = shapes.placeholders[1], shapes.placeholders[3]
left_col, right_col = shapes.placeholders[2], shapes.placeholders[4]
left_col_frame, right_col_frame = left_col.text_frame, right_col.text_frame
if 'heading' in double_col_content[0]:
left_heading.text = double_col_content[0]['heading']
if 'bullet_points' in double_col_content[0]:
flat_items_list = get_flat_list_of_contents(
double_col_content[0]['bullet_points'], level=0
)
for idx, an_item in enumerate(flat_items_list):
if idx == 0:
left_col_frame.text = an_item[0].removeprefix(STEP_BY_STEP_PROCESS_MARKER)
else:
paragraph = left_col_frame.add_paragraph()
paragraph.text = an_item[0].removeprefix(STEP_BY_STEP_PROCESS_MARKER)
paragraph.level = an_item[1]
if 'heading' in double_col_content[1]:
right_heading.text = double_col_content[1]['heading']
if 'bullet_points' in double_col_content[1]:
flat_items_list = get_flat_list_of_contents(
double_col_content[1]['bullet_points'], level=0
)
for idx, an_item in enumerate(flat_items_list):
if idx == 0:
right_col_frame.text = an_item[0].removeprefix(STEP_BY_STEP_PROCESS_MARKER)
else:
paragraph = right_col_frame.add_paragraph()
paragraph.text = an_item[0].removeprefix(STEP_BY_STEP_PROCESS_MARKER)
paragraph.level = an_item[1]
_handle_key_message(
the_slide=slide,
slide_json=slide_json,
slide_height_inch=slide_height_inch,
slide_width_inch=slide_width_inch
)
return True
return False
def _handle_step_by_step_process(
presentation: pptx.Presentation,
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 presentation: The presentation object.
: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 if this slide has a step-by-step process depiction added; False otherwise.
"""
if 'bullet_points' in slide_json and slide_json['bullet_points']:
steps = slide_json['bullet_points']
no_marker_count = 0.0
n_steps = len(steps)
# Ensure that it is a single list of strings without any sub-list
for step in steps:
if not isinstance(step, str):
return False
# In some cases, one or two steps may not begin with >>, e.g.:
# {
# "heading": "Step-by-Step Process: Creating a Legacy",
# "bullet_points": [
# "Identify your unique talents and passions",
# ">> Develop your skills and knowledge",
# ">> Create meaningful work",
# ">> Share your work with the world",
# ">> Continuously learn and adapt"
# ],
# "key_message": ""
# },
#
# Use a threshold, e.g., at most 20%
if not step.startswith(STEP_BY_STEP_PROCESS_MARKER):
no_marker_count += 1
slide_header = slide_json['heading'].lower()
if (no_marker_count / n_steps > 0.25) and not (
('step-by-step' in slide_header) or ('step by step' in slide_header)
):
return False
bullet_slide_layout = presentation.slide_layouts[1]
slide = presentation.slides.add_slide(bullet_slide_layout)
shapes = slide.shapes
shapes.title.text = remove_slide_number_from_heading(slide_json['heading'])
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 4 < n_steps <= 6:
# Vertical display
height = pptx.util.Inches(0.65)
top = pptx.util.Inches(slide_height_inch / 4)
left = INCHES_1 # slide_width_inch - width.inches)
# Find the close to median width, based on the length of each text, to be set
# for the shapes
width = pptx.util.Inches(slide_width_inch * 2 / 3)
lengths = [len(step) for step in steps]
font_size_20pt = pptx.util.Pt(20)
widths = sorted(
[
min(
pptx.util.Inches(font_size_20pt.inches * a_len),
width
) for a_len in lengths
]
)
width = widths[len(widths) // 2]
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
# More than 5--6 steps -- would likely cause a visual clutter
return False
return True
def _handle_key_message(
the_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 the_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 = the_slide.shapes.add_shape(
MSO_AUTO_SHAPE_TYPE.ROUNDED_RECTANGLE,
left=left,
top=top,
width=width,
height=height
)
shape.text = slide_json['key_message']
def _get_slide_width_height_inches(presentation: pptx.Presentation) -> Tuple[float, float]:
"""
Get the dimensions of a slide in inches.
:param presentation: The presentation object.
:return: The width and the height.
"""
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)
return slide_width_inch, slide_height_inch
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 and Cons: Deep Learning vs. Classical Machine Learning",
"bullet_points": [
{
"heading": "Classical Machine Learning",
"bullet_points": [
"Interpretability: Easy to understand the model",
"Faster Training: Quicker to train models",
"Scalability: Can handle large datasets"
]
},
{
"heading": "Deep Learning",
"bullet_points": [
"Handling Complex Data: Can learn from raw data",
"Feature Extraction: Automatically learns features",
"Improved Accuracy: Achieves higher accuracy"
]
}
],
"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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