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"cells": [
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import json\n",
"from datetime import datetime\n",
"from dotenv import load_dotenv\n",
"from openai import OpenAI\n",
"from pathlib import Path\n",
"from notion_client import Client\n",
"\n",
"load_dotenv(override=True)\n",
"openai = OpenAI()\n",
"notion = Client(auth=os.getenv(\"NOTION_TOKEN\"))\n",
"\n",
"# Get all transcript files in the current directory\n",
"def get_transcript_files():\n",
" current_dir = Path(\".\")\n",
" return list(current_dir.glob(\"*.txt\"))\n",
"\n",
"# Read a transcript file\n",
"def read_transcript(file_path):\n",
" with open(file_path, \"r\", encoding=\"utf-8\") as f:\n",
" return f.read()\n",
"\n",
"# Get list of transcript files\n",
"transcript_files = get_transcript_files()\n",
"print(f\"Found {len(transcript_files)} transcript files:\")"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"system_prompt = f\"\"\"You are a notes processor. You are given a transcript of a meeting and you need to process the notes into a structured JSON format.\n",
"\n",
"Please analyze the transcript and return a JSON object with the following structure:\n",
"\n",
"{{\n",
" \"meeting_title\": \"Brief descriptive title for the meeting\",\n",
" \"participants\": \"Comma-separated list of attendees, first name only, use first name and first letter of surname when duplicate i.e. Dimo S\", \n",
" \"category\": \"One of: Coaching, dsm-firmenich, PakTech, BDB Internal, Other - select the most appropriate category based on the discussion context\",\n",
" \"summary\": \"Brief 1-2 sentence summary of the main discussion points\",\n",
" \"content\": \"Detailed meeting notes organized by topics/categories\",\n",
" \"action_items\": [\n",
" \"List of specific action items mentioned and assigned to a person. If no person is assigned, leave the person field empty. Ensure the action is actionable and has a deadline.\",\n",
" \"Each as a separate string\"\n",
" ],\n",
" \"meeting_url\": \"Meeting URL if mentioned (or null)\",\n",
" \"date\": \"Meeting date in YYYY-MM-DD format (or null for today)\"\n",
"}}\n",
"\n",
"Guidelines:\n",
"- Choose the most appropriate category based on the discussion content\n",
"- Make the summary concise but informative\n",
"- Structure the content with clear headings and bullet points\n",
"- Extract specific, actionable items for the action_items array\n",
"- If no action items are mentioned, return an empty array\n",
"\n",
"The meeting transcript is: \n",
"{transcript}\n",
"\n",
"Return only the JSON object, no additional text.\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"def get_system_prompt(transcript):\n",
" return f\"\"\"You are a notes processor. You are given a transcript of a meeting and you need to process the notes into a structured JSON format.\n",
"\n",
"Please analyze the transcript and return a JSON object with the following structure:\n",
"\n",
"{{\n",
" \"meeting_title\": \"Brief descriptive title for the meeting\",\n",
" \"participants\": \"Comma-separated list of attendees, first name only, use first name and first letter of surname when duplicate i.e. Dimo S\", \n",
" \"category\": \"One of: Coaching, dsm-firmenich, PakTech, BDB Internal, Other - select the most appropriate category based on the discussion context\",\n",
" \"summary\": \"Brief 1-2 sentence summary of the main discussion points\",\n",
" \"content\": \"Detailed meeting notes organized by topics/categories\",\n",
" \"action_items\": [\n",
" \"List of specific action items mentioned and assigned to a person. If no person is assigned, leave the person field empty. Ensure the action is actionable and has a deadline.\",\n",
" \"Each as a separate string\"\n",
" ],\n",
" \"meeting_url\": \"Meeting URL if mentioned (or null)\",\n",
" \"date\": \"Meeting date in YYYY-MM-DD format (or null for today)\"\n",
"}}\n",
"\n",
"Guidelines:\n",
"- Choose the most appropriate category based on the discussion content\n",
"- Make the summary concise but informative\n",
"- Structure the content with clear headings and bullet points\n",
"- Extract specific, actionable items for the action_items array\n",
"- If no action items are mentioned, return an empty array\n",
"\n",
"The meeting transcript is: \n",
"{transcript}\n",
"\n",
"Return only the JSON object, no additional text.\"\"\"\n",
"\n",
"def chat(message, history, transcript):\n",
" system_prompt = get_system_prompt(transcript)\n",
" messages = [{\"role\": \"system\", \"content\": system_prompt}] + history + [{\"role\": \"user\", \"content\": message}]\n",
" response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=messages)\n",
" return response.choices[0].message.content"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"from datetime import datetime\n",
"\n",
"# Process all transcript files\n",
"def process_all_transcripts():\n",
" for transcript_file in transcript_files:\n",
" print(f\"\\nProcessing {transcript_file.name}...\")\n",
" \n",
" # Read the transcript\n",
" transcript = read_transcript(transcript_file)\n",
" \n",
" try:\n",
" # Get AI notes for this transcript\n",
" notes = chat(\"What are the notes?\", [], transcript)\n",
" \n",
" # Process the notes and create Notion page\n",
" meeting_note = process_ai_response_to_notion_formatted(notes)\n",
" \n",
" if meeting_note:\n",
" print(f\"✅ Successfully processed {transcript_file.name}\")\n",
" else:\n",
" print(f\"❌ Failed to process {transcript_file.name}\")\n",
" \n",
" except Exception as e:\n",
" print(f\"❌ Error processing {transcript_file.name}: {e}\")\n",
"\n",
"# Run the processing\n",
"if transcript_files:\n",
" process_all_transcripts()\n",
"else:\n",
" print(\"No transcript files found in the current directory.\")\n"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"✅ Meeting note 'Weekly Project Status Update' created successfully!\n",
"Page URL: https://www.notion.so/Weekly-Project-Status-Update-21acfc87351681569bbfe60bad68a863\n"
]
}
],
"source": [
"def create_meeting_note_with_formatting(name, category, participants, summary, content_dict=None, action_items=None, meeting_url=None, date=None):\n",
" \"\"\"Create a meeting note with properly formatted content blocks\"\"\"\n",
" \n",
" DATABASE_ID = \"214cfc87-3516-801f-9cf5-f6709213c7a0\"\n",
" \n",
" # Set date to today if not provided\n",
" if date is None:\n",
" date = datetime.now().isoformat()\n",
" \n",
" # Build properties based on your database schema\n",
" properties = {\n",
" \"Name\": {\n",
" \"title\": [{\"text\": {\"content\": name}}]\n",
" },\n",
" \"Category\": {\n",
" \"select\": {\"name\": category}\n",
" },\n",
" \"Participants\": {\n",
" \"rich_text\": [{\"text\": {\"content\": participants}}]\n",
" },\n",
" \"Summary\": {\n",
" \"rich_text\": [{\"text\": {\"content\": summary}}]\n",
" },\n",
" \"Date\": {\n",
" \"date\": {\"start\": date}\n",
" }\n",
" }\n",
" \n",
" # Add meeting URL if provided\n",
" if meeting_url:\n",
" properties[\"Meeting URL\"] = {\"url\": meeting_url}\n",
" \n",
" # Build the page content with proper formatting\n",
" children = []\n",
" \n",
" # Add Meeting Notes header\n",
" children.append({\n",
" \"object\": \"block\",\n",
" \"type\": \"heading_2\",\n",
" \"heading_2\": {\n",
" \"rich_text\": [{\"type\": \"text\", \"text\": {\"content\": \"Meeting Notes\"}}]\n",
" }\n",
" })\n",
" \n",
" # Add formatted content sections\n",
" if content_dict and isinstance(content_dict, dict):\n",
" for section, items in content_dict.items():\n",
" # Add section heading\n",
" children.append({\n",
" \"object\": \"block\",\n",
" \"type\": \"heading_3\",\n",
" \"heading_3\": {\n",
" \"rich_text\": [{\"type\": \"text\", \"text\": {\"content\": section}}]\n",
" }\n",
" })\n",
" \n",
" # Add bulleted list items\n",
" if isinstance(items, list):\n",
" for item in items:\n",
" children.append({\n",
" \"object\": \"block\",\n",
" \"type\": \"bulleted_list_item\",\n",
" \"bulleted_list_item\": {\n",
" \"rich_text\": [{\"type\": \"text\", \"text\": {\"content\": item}}]\n",
" }\n",
" })\n",
" else:\n",
" children.append({\n",
" \"object\": \"block\",\n",
" \"type\": \"bulleted_list_item\",\n",
" \"bulleted_list_item\": {\n",
" \"rich_text\": [{\"type\": \"text\", \"text\": {\"content\": str(items)}}]\n",
" }\n",
" })\n",
" \n",
" # Add action items if provided\n",
" if action_items:\n",
" children.append({\n",
" \"object\": \"block\",\n",
" \"type\": \"heading_3\",\n",
" \"heading_3\": {\n",
" \"rich_text\": [{\"type\": \"text\", \"text\": {\"content\": \"Action Items\"}}]\n",
" }\n",
" })\n",
" \n",
" for item in action_items:\n",
" children.append({\n",
" \"object\": \"block\",\n",
" \"type\": \"to_do\",\n",
" \"to_do\": {\n",
" \"rich_text\": [{\"type\": \"text\", \"text\": {\"content\": item}}],\n",
" \"checked\": False\n",
" }\n",
" })\n",
" \n",
" try:\n",
" # Create the page with formatted content\n",
" new_page = notion.pages.create(\n",
" parent={\"database_id\": DATABASE_ID},\n",
" properties=properties,\n",
" children=children\n",
" )\n",
" \n",
" print(f\"✅ Meeting note '{name}' created successfully!\")\n",
" print(f\"Page URL: {new_page['url']}\")\n",
" return new_page\n",
" \n",
" except Exception as e:\n",
" print(f\"❌ Error creating meeting note: {e}\")\n",
" return None\n",
"\n",
"def process_ai_response_to_notion_formatted(ai_response):\n",
" \"\"\"Process AI JSON response and create properly formatted Notion note\"\"\"\n",
" \n",
" try:\n",
" # Parse the JSON response from AI\n",
" if isinstance(ai_response, str):\n",
" meeting_data = json.loads(ai_response)\n",
" else:\n",
" meeting_data = ai_response\n",
" \n",
" # Create the Notion note with formatted content\n",
" meeting_note = create_meeting_note_with_formatting(\n",
" name=meeting_data[\"meeting_title\"],\n",
" category=meeting_data[\"category\"], \n",
" participants=meeting_data[\"participants\"],\n",
" summary=meeting_data[\"summary\"],\n",
" content_dict=meeting_data.get(\"content\"), # Pass the dict directly\n",
" action_items=meeting_data.get(\"action_items\", []),\n",
" meeting_url=meeting_data.get(\"meeting_url\"),\n",
" date=meeting_data.get(\"date\")\n",
" )\n",
" \n",
" return meeting_note\n",
" \n",
" except json.JSONDecodeError as e:\n",
" print(f\"❌ Error parsing AI response as JSON: {e}\")\n",
" return None\n",
" except Exception as e:\n",
" print(f\"❌ Error processing AI response: {e}\")\n",
" return None\n",
"\n",
"# Usage with proper formatting\n",
"ai_response = notes\n",
"meeting_note = process_ai_response_to_notion_formatted(ai_response)"
]
}
],
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