add very simple docker-compose configuration

deploy/.env.example

@@ -0,0 +1,22 @@
+# Copy this file to deploy/.env and fill in the values.
+
+# Path on the host where forecast data files are stored.
+# This is mounted read-only into rawdataforecaster at /data/forecast.
+# Relative paths are resolved from the deploy/ directory.
+FORECAST_DATA_PATH=../data/forecast
+
+# --- correctedforecaster (optional) ---
+# To enable correctedforecaster, set COMPOSE_PROFILES=corrected AND
+# point jsonfrontend at it via JSONFRONTEND_UPSTREAM.
+# Leave COMPOSE_PROFILES empty (or unset) to run without correction.
+
+COMPOSE_PROFILES=
+JSONFRONTEND_UPSTREAM=rawdataforecaster:5052
+
+# When enabling correctedforecaster, change the two lines above to:
+# COMPOSE_PROFILES=corrected
+# JSONFRONTEND_UPSTREAM=correctedforecaster:5051
+
+# Path on the host where topography data files are stored.
+# Only used when correctedforecaster is enabled.
+TOPOGRAPHY_DATA_PATH=../data/topography

deploy/.gitignore

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+.env

deploy/README.md

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+# Deploy
+
+This folder contains configuration for running Forti locally using Docker Compose. It brings up the core services — `rawdataforecaster`, `correctedforecaster`, and `jsonfrontend` — using local forecast data.
+
+## Prerequisites
+
+- [Docker](https://docs.docker.com/get-docker/) with Compose support
+- Local forecast data (see [Preparing data](#preparing-data) below)
+
+## Preparing data
+
+Forecast data can be produced using [forti-prep](https://github.com/metno/forti-prep), a companion tool that downloads and post-processes the input datasets into the format expected by Forti.
+
+By default, the Compose setup expects forecast data to be available at `../data/forecast` (relative to this folder), which corresponds to `data/forecast/` in the repository root. You can override this with the `FORECAST_DATA_PATH` environment variable.
+
+## Services
+
+| Service | Description | Default port |
+|---|---|---|
+| `rawdataforecaster` | Serves forecast data over gRPC from a local directory | `5052` |
+| `correctedforecaster` | Post-processes forecast data and re-exposes it over gRPC | — |
+| `jsonfrontend` | REST API that serves point forecast timeseries as JSON | `8080` |
+
+`correctedforecaster` is optional and must be enabled via a Docker Compose [profile](#profiles).
+
+## Usage
+
+Build and start the base services:
+
+```bash
+docker compose up --build
+```
+
+Test that the API is responding:
+
+```bash
+curl 'http://localhost:8080/?lat=59&lon=11'
+```
+
+### Enabling correctedforecaster
+
+`correctedforecaster` is disabled by default. To enable it, set both variables in your `.env` file:
+
+```bash
+COMPOSE_PROFILES=corrected
+JSONFRONTEND_UPSTREAM=correctedforecaster:5051
+```
+
+Both need to change together: `COMPOSE_PROFILES` starts the container, and `JSONFRONTEND_UPSTREAM` points `jsonfrontend` at it. Leave `COMPOSE_PROFILES` empty (or unset) to run without correction.
+
+## Environment variables
+
+| Variable | Default | Description |
+|---|---|---|
+| `FORECAST_DATA_PATH` | `../data/forecast` | Path to the local forecast data directory |
+| `TOPOGRAPHY_DATA_PATH` | `../data/topography` | Path to the local topography data directory (used by `correctedforecaster`) |
+| `JSONFRONTEND_UPSTREAM` | `rawdataforecaster:5052` | gRPC upstream address for `jsonfrontend` |
+
+These can be set in a `.env` file in this directory (`.env` is gitignored). Copy `.env.example` as a starting point:
+
+```bash
+cp .env.example .env
+```
+
+## Configuration
+
+`rawdataforecaster.config.json` configures how `rawdataforecaster` reads forecast data:
+
+```json
+{
+  "source": {
+    "bucket": "file:///data/forecast"
+  },
+  "areas": ["meps"],
+  "loader": {
+    "type": "blob"
+  }
+}
+```
+
+- **`source.bucket`** — points to the mounted forecast data directory inside the container.
+- **`areas`** — list of forecast areas to load (e.g. `meps`).
+- **`loader.type`** — `"blob"` streams data on demand rather than loading everything into memory. Keep this as `"blob"` unless you have a specific reason to change it.

deploy/docker-compose.yml

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+services:
+  rawdataforecaster:
+    build:
+      context: ..
+      dockerfile: rawdataforecaster/build/package/Dockerfile
+    ports:
+      - "5052:5052"
+    volumes:
+      - ./rawdataforecaster.config.json:/config.json:ro
+      - ${FORECAST_DATA_PATH:-../data/forecast}:/data/forecast:ro
+    command: ["-config", "/config.json"]
+    networks:
+      - internal
+
+  correctedforecaster:
+    build:
+      context: ..
+      dockerfile: correctedforecaster/build/package/Dockerfile
+    profiles: ["corrected"]
+    volumes:
+      - ${TOPOGRAPHY_DATA_PATH:-../data/topography}:/data/topography:ro
+    command:
+      - "-upstream"
+      - "rawdataforecaster:5052"
+      - "-workdir"
+      - "/data/topography"
+    depends_on:
+      - rawdataforecaster
+    networks:
+      - internal
+
+  jsonfrontend:
+    build:
+      context: ..
+      dockerfile: jsonfrontend/build/package/Dockerfile
+    ports:
+      - "8080:8080"
+    command:
+      - "-upstream"
+      - "${JSONFRONTEND_UPSTREAM:-rawdataforecaster:5052}"
+    depends_on:
+      - rawdataforecaster
+    networks:
+      - internal
+
+networks:
+  internal:

deploy/rawdataforecaster.config.json

@@ -0,0 +1,9 @@
+{
+  "source": {
+    "bucket": "file:///data/forecast"
+  },
+  "areas": ["meps"],
+  "loader": {
+    "type": "blob"
+  }
+}

justfile

@@ -2,3 +2,6 @@ build-docker *modules="correctedforecaster healthz jsonfrontend moxfrontend rawd
     set -e; for module in {{ modules }}; do \
         docker build -t forti_$module -f $module/build/package/Dockerfile .; \
     done
+
+run-docker:
+    cd deploy && docker compose up --build