Hyper-personalised Agent

06 - Journals ingestion

06 - Pattern-Trigger

Installation

macOS

• Setup python environment:

python3 -m venv env
source env/bin/activate
pip3 install --upgrade pip

pip3 install psycopg2-binary
pip3 install -r requirements.txt

• Install Postgresql

echo "POSTGRES_USERNAME=<your_db_username>" >> .env
echo "POSTGRES_PASSWORD=<your_db_password>" >> .env

alembic upgrade head # Apply db migrations

• Generate OpenAI API Key

echo "OPENAI_API_KEY=<your_api_key_here>" >> .env

• Run the server locally at localhost

python3 app/main.py

API

Use Postman Collection to run the API

• Create user /api/v1/auth/register

curl -XPOST 'http://localhost:8000/api/v1/auth/register' \
--header 'Content-Type: application/json' \
--data-raw '{
    "user_name": "John Doe",
    "user_age": 42,
    "user_password": "abcd1234",
    "user_email": "abcd@xyz.com"
}'

• Create journal entrys /api/v1/journal/create

curl -XPOST 'http://localhost:8000/api/v1/journal/create' \
--header 'Content-Type: application/json' \
--data '{
    "user_id": 0,
    "content": "Today was a very good day",
    "date": "2024-12-08"
}'

curl -XPOST 'http://localhost:8000/api/v1/journal/create' \
--header 'Content-Type: application/json' \
--data '{
    "user_id": 0,
    "content": "Today was a bad day",
    "date": "2024-12-07"
}'

• Summarise with LLM /api/v1/summarise

curl -XPOST 'http://localhost:8000/api/v1/llm/summarise' \
--header 'Content-Type: application/json' \
--data '{
    "user_id": 0,
    "days": [
        "2024-12-08",
        "2024-12-06"
    ]
}'