Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/galeone/fitsleepinsights
Custom dashboard for Fitbit users. RAG support (gemini-based) for chatting with your data and getting insights about your fitness activities and sleep data
https://github.com/galeone/fitsleepinsights
gemini go golang rag vertex-ai
Last synced: about 2 months ago
JSON representation
Custom dashboard for Fitbit users. RAG support (gemini-based) for chatting with your data and getting insights about your fitness activities and sleep data
- Host: GitHub
- URL: https://github.com/galeone/fitsleepinsights
- Owner: galeone
- License: mpl-2.0
- Created: 2022-10-30T19:50:25.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-17T18:19:39.000Z (8 months ago)
- Last Synced: 2024-05-02T02:12:43.693Z (8 months ago)
- Topics: gemini, go, golang, rag, vertex-ai
- Language: Go
- Homepage: https://fitsleepinsights.app/
- Size: 828 KB
- Stars: 10
- Watchers: 2
- Forks: 1
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Fit Sleep Insights
Web application that connects with your [Fitbit](https://www.fitbit.com/) account and tries to do explainable predictions of your sleep quality - using all the available data.
- What makes you sleep well?
- What are the activities you should perform and when?
- What you should avoid?
- What increases your deep sleep?
These are some of the question this project tries to answer.
The goal is to understand what behaviors/activities are good/bad for *your* sleep. People are different, and what makes a person sleep well could make some one else sleep a nightmare. For this reason, the prediction are made *per user* - no data is aggregated.
## Technicalities
The application is made of different parts
- A Fitbit API client. Folder `fitbit`
- A storage. The storage requires a dedicated setup (we use TimescaleDB/PostgreSQL). Folder `storage`.
- The predictive models
- The web application
The web application, together with the `client` and the `database` asks the user permission on the Fitbit account.
### Docker-Compose
You can chose to configure the application via the `docker-compose.yaml` file, and executed it trough `docker compose` - or you can configure (without depending on Docker) the various components of the application locally.
Below you can find the steps to setup the application locally.
### Database setup
1. Install PostgreSQL
2. Create the user and the database. Note: on MacoOS skip the `sudo -i -u postgres ` part of the commands.
```bash
sudo -i -u postgres createuser -U postgres fitsleepinsights
sudo -i -u postgres createdb -U postgres fitsleepinsights fitsleepinsights
```
3. Grant the create privilege (required from PostgreSQL 15+), and make it superuser (required for the vector extension):
```
psql -U postgres -d fitsleepinsights -c "GRANT USAGE, CREATE ON SCHEMA public TO fitsleepinsights;"
psql -U postgres -d fitsleepinsights -c "ALTER USER fitsleepinsights WITH SUPERUSER;"
```
4. Install pgvector: https://github.com/pgvector/pgvector
Done. On startup the application creates the schema if not present.
### Configuration
Place a `.env` file in the runtime path. This is the content:
```env
# Register the application
# https://dev.fitbit.com/build/reference/web-api/developer-guide/getting-started/
# for obtainign these values.
FITBIT_CLIENT_ID=""
FITBIT_CLIENT_SECRET=""
FITBIT_REDIRECT_URL=""
# Use the same values used in the Database setup section
DB_HOST=localhost
DB_PORT=5432
DB_USER=fitsleepinsights
DB_PASS=fitsleepinsights
DB_NAME=fitsleepinsights
# Web application settings
DOMAIN=fitsleepinsights.app
PORT=8989
# Vertex AI
VAI_LOCATION="europe-west6"
VAI_PROJECT_ID="project id"
VAI_SERVICE_ACCOUNT_KEY="full path"
```
### Running
Yup, running is important. There are 2 ways of running the application, depending on how you configured it.
If you installed the database and configured the `.env` file you need simply to run it.
```bash
go run main.go
```
If you configured the `docker-compose.yaml` file, than you can:
```bash
./run.sh up
# and to stop it
./run.sh down
```
Or you can install it with `go install` and execute `fitsleepinsights`.