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pptx tool #163

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Feb 11, 2025
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74 changes: 74 additions & 0 deletions tools/pptx-analyzer/metadata.json
Original file line number Diff line number Diff line change
@@ -0,0 +1,74 @@
{
"configurations": {
"properties": {},
"required": [],
"type": "object"
},
"description": "Processes and analyzes PowerPoint files, allowing for reading, retrieving content, analyzing data, and updating slides.",
"homePage": "",
"keywords": [
"pptx",
"presentation",
"analyze",
"file processing"
],
"name": "PPTX File Processor",
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"author": "Shinkai",
"oauth": [],
"operating_system": [
"linux",
"macos",
"windows"
],
"parameters": {
"properties": {
"file_path": {
"description": "The path or URL to the PPTX file. If no file path is provided, it will use the in-memory file.",
"type": "string"
},
"operation": {
"description": "The operation to perform on the PPTX file: READ | RETRIEVE | ANALYZE | UPDATE",
"type": "string"
},
"prompt": {
"description": "Prompt to apply for ANALYZE or UPDATE operations.",
"nullable": true,
"type": "string"
}
},
"required": ["operation"],
"type": "object"
},
"result": {
"properties": {
"analysis": {
"description": "Analysis result of the PPTX content",
"nullable": true,
"type": "string"
},
"content": {
"description": "Extracted content from the PPTX slides",
"items": {
"type": "string"
},
"nullable": true,
"type": "array"
},
"status": {
"description": "Operation status (success/error)",
"nullable": true,
"type": "string"
}
},
"required": [],
"type": "object"
},
"runner": "any",
"sqlQueries": [],
"sqlTables": [],
"tool_set": "",
"tools": [
"local:::__official_shinkai:::shinkai_llm_prompt_processor"
],
"version": "1.0.0"
}
4 changes: 4 additions & 0 deletions tools/pptx-analyzer/store.json
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{
"categoryId": "418f52b3-2eb6-431f-b953-4b5fefcd4b8f",
"name": "PPTX File Processor"
}
149 changes: 149 additions & 0 deletions tools/pptx-analyzer/tool.py
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# /// script
# dependencies = [
# "requests",
# "python-pptx",
# ]
# ///

from typing import Any, Optional, List, Dict
import os
import requests
from pptx import Presentation
from shinkai_local_tools import shinkai_llm_prompt_processor
from shinkai_local_support import get_home_path

class CONFIG:
pass

class INPUTS:
operation: str
file_path: Optional[str] = None
prompt: Optional[str] = None

class OUTPUT:
content: Optional[List[str]] = None
analysis: Optional[str] = None
status: Optional[str] = None

async def _read_presentation(file_path: str, working_file_path: str) -> OUTPUT:
try:
if file_path.startswith('http://') or file_path.startswith('https://'):
response = requests.get(file_path)
with open(working_file_path, 'wb') as f:
f.write(response.content)
else:
with open(file_path, 'rb') as f:
with open(working_file_path, 'wb') as w:
w.write(f.read())
o = OUTPUT()
o.status = "success"
return o
except Exception as e:
o = OUTPUT()
o.status = "error"
o.analysis = f"Failed to read presentation: {str(e)}"
return o

async def _retrieve_presentation(working_file_path: str) -> OUTPUT:
if not os.path.exists(working_file_path):
return _create_error_output("No presentation file loaded. Please use READ operation first.")

try:
# Read the file content
with open(working_file_path, 'rb') as f:
content = f.read()

# Remove the file
os.remove(working_file_path)

# Rewrite the file
with open(working_file_path, 'wb') as f:
f.write(content)

prs = Presentation(working_file_path)
text_content = []
for slide in prs.slides:
for shape in slide.shapes:
if not shape.has_text_frame:
continue
for paragraph in shape.text_frame.paragraphs:
for run in paragraph.runs:
text_content.append(run.text)
o = OUTPUT()
o.content = text_content
o.status = "success"
return o
except Exception as e:
return _create_error_output(f"Failed to read presentation: {str(e)}")

async def _analyze_presentation(working_file_path: str, prompt: Optional[str]) -> OUTPUT:
if not os.path.exists(working_file_path):
return _create_error_output("No presentation file loaded. Please use READ operation first.")

prs = Presentation(working_file_path)
content = []
for slide in prs.slides:
for shape in slide.shapes:
if not shape.has_text_frame:
continue
for paragraph in shape.text_frame.paragraphs:
for run in paragraph.runs:
content.append(run.text)
analysis_prompt = prompt if prompt else "Summarize the contents"
analysis_result = await shinkai_llm_prompt_processor({
"prompt": f"The user has asked a question about the following presentation <content>{' '.join(content)}</content> <question>{analysis_prompt}</question>",
"format": "text"
})
o = OUTPUT()
o.content = content
o.analysis = analysis_result['message']
o.status = "success"
return o

async def _update_presentation(working_file_path: str, update_request: Dict[str, Any]) -> OUTPUT:
if not os.path.exists(working_file_path):
return _create_error_output("No presentation file loaded. Please use READ operation first.")

try:
prs = Presentation(working_file_path)
# Here you would implement the logic to update the presentation based on update_request
# Example: prs.slides[0].shapes.title.text = update_request.get("title", prs.slides[0].shapes.title.text)
prs.save(working_file_path) # Save the updated presentation
o = OUTPUT()
o.status = "success"
return o
except Exception as e:
o = OUTPUT()
o.status = "error"
o.analysis = f"Failed to update presentation: {str(e)}"
return o

def _create_error_output(message: str) -> OUTPUT:
o = OUTPUT()
o.analysis = message
o.status = "error"
return o

async def run(config: CONFIG, inputs: INPUTS) -> OUTPUT:
home_path = await get_home_path()
working_file_path = os.path.join(home_path, 'working.pptx')

# Convert operation to uppercase for case-insensitive comparison
operation = inputs.operation.upper()

# Always read presentation if file_path is provided
if inputs.file_path:
read_result = await _read_presentation(inputs.file_path, working_file_path)
if read_result.status == "error":
return read_result

if operation == "READ":
return read_result if inputs.file_path else _create_error_output("No file path provided for READ operation")
elif operation == "RETRIEVE":
return await _retrieve_presentation(working_file_path)
elif operation == "ANALYZE":
return await _analyze_presentation(working_file_path, inputs.prompt)
elif operation == "UPDATE":
return await _update_presentation(working_file_path, inputs.prompt)

return _create_error_output(f"Invalid operation: {inputs.operation}")
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