Description

This is a docker image for publishing Logseq graph inspired by the official solution logseq-publish-spa. You can publish a Single Page Application (SPA) from a Logseq graph on a docker-supported server without configuring development environments.

Usage

Note: The image consume ~7GB disk space during the build (even with the alpine basis). The final image size is at ~700 MB thanks to the multistage build. So it is recommended to use the pre-built images first

With pre-built images

Pre-built images are available in ghcr.io. See https://ghcr.io/l-trump/logseq-publish-spa .

$ docker run -v ./graph:/graph:ro -v ./out:/out \
    -e PUB_THEME=light -it ghcr.io/l-trump/logseq-publish-spa:alpine

Three labels are tagged for latest images:

• latest: The latest version of the debian-based image.
• alpine: The latest version of the alpine-based image.
• watch: The image monitoring graphic changes and publishing them automatically.

Several generic environment variables are provided:

• PUB_THEME: Theme mode for frontend. Can be "dark" or "light". Defaults to "light".
• PUB_ACCENT_COLOR: Accent color for frontend. Can be one of "tomato", "red", "crimson", "pink", "plum", "purple", "violet", "indigo", "blue", "cyan", "teal", "green", "grass", "orange", "brown". Defaults to "blue".
• PUB_GRAPH_DIR: Graph directory in container, defaults to /graph.
• PUB_OUT_DIR: Output directory in container, defaults to /out.

Auto monitor and publish

The watch image provides the ability to monitor graph changes and publish the new graph automatically.

$ docker run -v ./graph:/graph:ro -v ./out:/out \
    -e PUB_THEME=light -e MONITOR_INTERVAL=60 \
    -it ghcr.io/l-trump/logseq-publish-spa:watch

This image uses inotify to monitor the graph changes. When a change is detected, the script waits until MONITOR_INTERVAL seconds after the graph stops changing, and then publishes the graph.

Two environment variables are provided for watch image:

• MONITOR_INTERVAL: The inverval for script to wait for graph stops changing, defaults to 60s.
• MONITOR_DIR: The directory to monitor, defaults to the same as PUB_GRAPH_DIR.

With docker compose

$ git clone https://github.com/L-Trump/logseq-publish-docker
# Modify the docker-compose.yaml file. Then run the container
# For latest/alpine image
$ docker compose up
# For watch image
$ docker compose -f ./docker-compose.watch.yml up -d

Remember to modify the docker-compose.yml file to match your preferred configuration.

With docker build manually

Note that building the image requires ~7GB disk space!

$ git clone https://github.com/L-Trump/logseq-publish-docker
$ cd publish-spa/docker
$ docker build -t logseq-publish-spa -f Dockerfile .
# Or use the Dockerfile.alpine
# Run the image
$ docker run -v ./graph:/graph:ro -v ./out:/out -e PUB_THEME=light -it logseq-publish-spa

Change the version of Logseq

Modify the LOGSEQ_VERSION and LOGSEQ_PUBSPA_VERSION in Dockerfile:

# See https://github.com/logseq/publish-spa/tags
ARG LOGSEQ_PUBSPA_VERSION=0.3.1 
# See https://github.com/logseq/logseq/tags
ARG LOGSEQ_VERSION=0.10.6

LICENSE

See LICENSE.md

Additional Links

• https://github.com/logseq/publish-spa - The main dependency of this repo.
• https://github.com/logseq/logseq - An awesome knowlege management tool.