Merge pull request #8 from croyla/main

Update main repo

Author: croyla

.github/workflows/docker-image.yml

@@ -0,0 +1,29 @@
+name: Docker Image CI
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+jobs:
+
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v5.0.0
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v3.5.0
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+      - name: Build Docker Image
+        uses: docker/build-push-action@v6.18.0
+        with:
+          context: .
+          push: true
+          tags: ghcr.io/${{ github.repository }}:latest

.gitignore

@@ -5,5 +5,8 @@ log/
 nohup.out
 /out/
 __pycache__/
-db/live_data.db
-
+db/
+generated_in/
+*.log
+.DS_Store
+/models/

Dockerfile

@@ -17,6 +17,9 @@ RUN apt-get update && apt-get install -y curl build-essential && \
 # Set working directory
 WORKDIR /app
 
+# Container timezone defaults to IST
+RUN echo "Asia/Kolkata" > /etc/timezone
+
 # Copy only Poetry files first to install dependencies
 COPY pyproject.toml poetry.lock* ./
 
@@ -31,6 +34,8 @@ COPY . .
 EXPOSE 59966
 
 VOLUME /app/db
+VOLUME /app/in
+VOLUME /app/out
 
 # Set default command
 CMD ["poetry", "run", "python3", "-m", "src.main"]

README.MD

@@ -6,6 +6,17 @@ This is expected to be functioning on an AWS EC2 Instance, however it can techni
 via the poetry package manager `poetry install` command. Once installed you can simply run it via 
 `poetry run python -m src.main` from the `src` folder. To expose it you can use an nginx reverse proxy, or cloudflared type tunnelling service. It will run on port `59966` to avoid conflicts with other services.
 
+The `generate_in_files.py` generates files to replace in the `in/` directory. Options listed below:
+
+| Option | Note                                                       |
+|--------|------------------------------------------------------------|
+| -r     | Create routeline.json with API data                        |
+| -t     | Create timings.tsv with API data                           |
+| -tdb   | Create times.json with live_data.db predictions            |
+| -s     | Create client_stops.json with API data                     |
+| -c     | Copy all generated files, overwriting existing `in/` files |
+
+
 *The old.py script runs on port 59955*
 - ### Data:
 Data is returned in the GTFS/GTFS-RT standard format.