## Preparation of the development environment
	- ```
	  mkdir todoist-insight && cd todoist-insight
	  python3 -m venv venv
	  source venv/bin/activate  # oppure .\venv\Scripts\activate su Windows
	  touch requirements.txt README.md
	  mkdir notebooks data src reports
	  mkdir data/raw data/processed
	  ```
		- The activation of the virtual environment has been done with different attempts. At the end, to make it working in VSCode on Windows, I opened a Powershell terminal and executed the corresponding script
			- `.\venv\Scripts\Activate.ps1`
		- This permitted to install `ipykernel` and make it visibale in vscode. The installation was done automatically via VSCode even though it would have worked also with
			- `python -m ipykernel install --user --name=todoist-env --display-name "Python (todoist-env)`
		- Once crated the virtual environment, you have to install the required dependencies with
			- `pip install -r requirements.txt`
	- `uvicorn simple_service:app --reload`
- ## Structure of the project
	- todoist-insight/
	  ├── notebooks/
	  │   └── 01_analysis_dashboard.ipynb        ← Notebook principale
	  │
	  ├── data/
	  │   ├── raw/
	  │   │   ├── completed_tasks.json           ← Export JSON completati
	  │   │   └── incomplete_tasks.json          ← Export JSON incompleti
	  │   └── processed/
	  │       └── completed_tasks.csv            ← Dataset già trasformato
	  │
	  ├── reports/
	  │   ├── ai_analysis.md                     ← Output analisi GPT su task completati
	  │   └── ai_suggestions.md                  ← Suggerimenti per task aperti
	  │
	  ├── src/
	  │   ├── todoist_api.py                     ← Funzioni per accedere a Todoist
	  │   ├── visualization.py                   ← Grafici (matplotlib/seaborn/plotly)
	  │   ├── gpt_analysis.py                    ← Analisi qualitativa via OpenAI
	  │   └── utils.py                           ← Funzioni ausiliarie (date, parsing, mapping)
	  │
	  ├── .env                                   ← File per chiavi API (non pushare su GitHub)
	  ├── requirements.txt                       ← Dipendenze (todoist-api, openai, pandas, ...)
	  └── README.md                              ← Panoramica e guida all’uso
- ## Improvement of the Palyground project with CrewAI usage
	- {{renderer :mermaid_684d7ac6-4d14-464a-8f71-53a7f313e92e, 3}}
	  collapsed:: true
		- ```mermaid
		  flowchart LR
		      A[Load Task Cache] --> B[AnalyzerAgent]
		      B --> C[ClassifierAgent]
		      C --> D[AdvisorAgent]
		      D --> E[PlannerAgent]
		  
		  ```
- #ReadingNotes of
	- [[@Generative AI with LangChain: build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph]]
	- [From Zero to Your First AI Agent in 25 Minutes (No Coding)](https://www.youtube.com/watch?v=EH5jx5qPabU)
		- ![image.png](../assets/image_1767285537214_0.png)