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Copy file name to clipboardExpand all lines: docs/about/how-it-works.md
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tags: ["overview"]
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Reitti depends on a consistent stream of geo location data to process and calculate visits, places, and trips between visits. The data processing pipeline follows these steps:
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Reitti depends on a consistent stream of geolocation data to process and calculate visits, places, and trips between visits. The data processing pipeline follows these steps:
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### Data Processing Pipeline
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Successive visits are merged into ProcessedVisits, combining related location points into meaningful stay periods.
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#### 5. Significant Places Creation
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After visits are merged into ProcessedVisits, SignificantPlaces are created or matched for each ProcessedVisit. SignificantPlaces represent locations on the map where you spend time - such as your home, workplace, or any other location where you stayed more than 5 minutes.
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After visits are merged into ProcessedVisits, SignificantPlaces are created or matched for each ProcessedVisit. SignificantPlaces represent locations on the map where you spend time – such as your home, workplace, or any other location where you stayed more than 5 minutes.
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#### 6. Address Resolution
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SignificantPlaces are processed through reverse geocoding to assign human-readable names and addresses, making them easier to identify and understand.
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SignificantPlaces are processed through reverse geocoding to assign human-readable names and addresses, making them easier to identify and understand. See [Reverse Geocoding](../configurations/reverse-geocoding.md) for more details.
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#### 7. Trip Calculation
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Finally, the system calculates Trips between successive ProcessedVisits, tracking your movement patterns and transportation between significant locations.
Copy file name to clipboardExpand all lines: docs/installation.md
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### Docker Installation (Recommended)
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Docker is the easiest way to get Reitti up and running. The provided Docker Compose configuration handles all the required services including PostgreSQL with PostGIS, RabbitMQ, Redis, and Photon geocoding service.
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Docker is the easiest way to get Reitti up and running. The provided Docker Compose configuration handles all the required services including PostgreSQL with PostGISand Redis.
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Simply download the [docker-compose.yml](https://github.com/dedicatedcode/reitti/blob/main/docker-compose.yml) file and run:
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Download the [docker-compose.yml](https://github.com/dedicatedcode/reitti/blob/main/docker-compose.yml) file and run:
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```bash
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docker-compose up -d
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If you prefer to run Reitti without Docker but don't want to build from source, you can download the pre-built JAR file from the releases page.
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#### Prerequisites
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- Java 24 or higher
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- Java 25 or higher
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- PostgreSQL with PostGIS extensions
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- RabbitMQ
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- Redis
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#### Installation Steps
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spring.data.redis.username=
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spring.data.redis.password=
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# RabbitMQ Configuration
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spring.rabbitmq.host=localhost
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spring.rabbitmq.port=5672
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spring.rabbitmq.username=reitti
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spring.rabbitmq.password=reitti
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# Storage configuration (optional)
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# Default: reitti.storage.path=data/
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# Make sure the user running Reitti has write permissions to this directory
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To build and run Reitti from source code:
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#### Prerequisites
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- Java 24 or higher
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- Java 25 or higher
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- Maven 3.6 or higher
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- PostgreSQL with PostGIS extensions
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- RabbitMQ
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- Redis
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#### Build Steps
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spring.data.redis.username=
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spring.data.redis.password=
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# RabbitMQ Configuration
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spring.rabbitmq.host=localhost
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spring.rabbitmq.port=5672
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spring.rabbitmq.username=reitti
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spring.rabbitmq.password=reitti
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# Storage configuration (optional)
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# Default: reitti.storage.path=data/
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# Make sure the user running Reitti has write permissions to this directory
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