slide-deck-ai / helpers /pptx_helper.py
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Reorganize files and set logging format globally
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import logging
import pathlib
import re
import tempfile
from typing import List, Tuple
import json5
import pptx
from global_config import GlobalConfig
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'])
# 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.debug('Presentation title is: %s', title.text)
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)
shapes = slide.shapes
title_shape = shapes.title
body_shape = shapes.placeholders[1]
title_shape.text = remove_slide_number_from_heading(a_slide['heading'])
all_headers.append(title_shape.text)
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(a_slide['bullet_points'], level=0)
for an_item in flat_items_list:
paragraph = text_frame.add_paragraph()
paragraph.text = an_item[0]
paragraph.level = an_item[1]
# 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
if __name__ == '__main__':
# bullets = [
# 'Description',
# 'Types',
# [
# 'Type A',
# 'Type B'
# ],
# 'Grand parent',
# [
# 'Parent',
# [
# 'Grand child'
# ]
# ]
# ]
# output = get_flat_list_of_contents(bullets, level=0)
# for x in output:
# print(x)
json_data = '''
{
"title": "Understanding AI",
"slides": [
{
"heading": "Introduction",
"bullet_points": [
"Brief overview of AI",
[
"Importance of understanding AI"
]
]
},
{
"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"
]
},
{
"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"
]
},
{
"heading": "Pros of AI",
"bullet_points": [
"Increased efficiency and productivity",
"Improved accuracy and precision",
"Enhanced decision-making capabilities",
"Personalized experiences"
]
},
{
"heading": "Cons of AI",
"bullet_points": [
"Job displacement and loss of employment",
"Bias and discrimination",
"Privacy and security concerns",
"Dependence on technology"
]
},
{
"heading": "Future Prospects of AI",
"bullet_points": [
"Advancements in fields such as healthcare and finance",
"Increased use"
]
}
]
}'''
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='Blank'
)