fix: change all docker-compose refs to docker compose and update python versions for CI

DEVELOP.md

@@ -6,8 +6,8 @@ These instructions are for contributing to this repository. See main README.md f
 
 ```bash
 cd src/docker
-docker-compose build
-docker-compose up
+docker compose build
+docker compose up
 ```
 
 ## Test

README.md

@@ -24,9 +24,9 @@ This open source effort puts together patterns the Graphistry team has reused ac
 
 ## What
 
-* **Minimal core**: The barebones dashboard server. In provides a StreamLit docker-compose container with PyData ecosystem libraries and examples of visualizing data from various systems. Install it, plug in credentials to various web services like cloud databases and a free [Graphistry Hub](https://hub.graphistry.com) visualization account, and launch. It does not have GPU ETL and GPU AI libraries.
+* **Minimal core**: The barebones dashboard server. In provides a StreamLit docker compose container with PyData ecosystem libraries and examples of visualizing data from various systems. Install it, plug in credentials to various web services like cloud databases and a free [Graphistry Hub](https://hub.graphistry.com) visualization account, and launch. It does not have GPU ETL and GPU AI libraries.
 
-* **Full core**: Initially for AWS, the full core bundles adds to the docker-compose system: Accounts, Jupyter notebooks for authoring, serves StreamLit dashboards with both public + private zones, and runs Graphistry/RAPIDS locally on the same server. Launch with on click via the Cloud Formation template.
+* **Full core**: Initially for AWS, the full core bundles adds to the docker compose system: Accounts, Jupyter notebooks for authoring, serves StreamLit dashboards with both public + private zones, and runs Graphistry/RAPIDS locally on the same server. Launch with on click via the Cloud Formation template.
 
 * **Full core + DB**: DB-specific variants are the same as minimal/full, and add simpler DB-specific quick launching/connecting.
 
@@ -36,26 +36,26 @@ This open source effort puts together patterns the Graphistry team has reused ac
 
 **Note**: Base image includes Nvidia RAPIDS and AI dependencies so is quite large, see CPU alternative for a lightweight alternativve
 
-**Note**: Use `sudo` for docker-compose commands if your configuration requires it and is giving permission error
+**Note**: Use `sudo` for docker compose commands if your configuration requires it and is giving permission error
 
 ```bash
 # Minimal core
 git clone https://github.com/graphistry/graph-app-kit.git
 cd graph-app-kit/src/docker
 
 # Enable docker buildkit
-# ... or run docker-compose via provided alias script `./dc`
+# ... or run docker compose via provided alias script `./dc`
 export DOCKER_BUILDKIT=1
 export COMPOSE_DOCKER_CLI_BUILD=1
 
 # Build
-docker-compose build
+docker compose build
 
 # Optional: Edit src/docker/.env (API accounts), docker-compose.yml: Auth, ports, ...
 
 # Launch
-docker-compose up -d
-docker-compose logs -f -t --tail=100
+docker compose up -d
+docker compose logs -f -t --tail=100
 ```
 
 => `http://localhost:8501/`
@@ -65,7 +65,7 @@ To [add views](docs/views.md) and relaunch:
 ```bash
 # Add dashboards @ src/python/views/<your_custom_view>/__init__.py
 
-docker-compose up -d --force-recreate
+docker compose up -d --force-recreate
 ```
 
 ### Quick (Local code) - minimal CPU core + third-party connectors
@@ -102,14 +102,14 @@ sudo docker ps
 sudo docker logs -f -t --tail=1 MY_CONTAINER
 
 # restart a graphistry container
-cd graphistry && sudo docker-compose restart MY_CONTAINER
+cd graphistry && sudo docker compose restart MY_CONTAINER
 
 # restart caddy (Caddy 1 override)
-cd graphistry && sudo docker-compose -f docker-compose.gak.graphistry.yml up -d caddy
+cd graphistry && sudo docker compose -f docker-compose.gak.graphistry.yml up -d caddy
 
 # run streamlit
-cd graph-app-kit/public/graph-app-kit && docker-compose -p pub run -d --name streamlit-pub streamlit
-cd graph-app-kit/private/graph-app-kit && docker-compose -p priv run -d --name streamlit-priv streamlit
+cd graph-app-kit/public/graph-app-kit && docker compose -p pub run -d --name streamlit-pub streamlit
+cd graph-app-kit/private/graph-app-kit && docker compose -p priv run -d --name streamlit-priv streamlit
 ```
 
 **Minimal**: Open Streamlit, ssh to connect/add [free Graphistry Hub username/pass](https://www.graphistry.com/get-started):
@@ -140,7 +140,7 @@ VIEW_PATH="`pwd`/views" streamlit run entrypoint.py
 * [Graphistry](https://www.graphistry.com/get-started) point-and-click GPU-accelerated visual graph analytics
 * Data frames: Data wrangling via [Pandas](https://pandas.pydata.org/)and [Apache Arrow](https://arrow.apache.org/), including handling formats such as CSV, XLS, JSON, Parquet, and more
 
-* Standard Docker and docker-compose cross-platform deployment
+* Standard Docker and docker compose cross-platform deployment
 
 ### GPU acceleration (optional) - Full
 

docs/extend.md

@@ -1,14 +1,14 @@
 # Configure graph-app-kit and add integrations
 
-Most settings can be configured by creating a custom Docker environment file `src/docker/.env` (see `src/envs/*.env` for options). You can also edit `docker-compose.yml` and `/etc/docker/daemon.json`, but we recommend sticking to `.env`.
+Most settings can be configured by creating a custom Docker environment file `src/docker/.env` (see `src/envs/*.env` for options). You can also edit `docker compose.yml` and `/etc/docker/daemon.json`, but we recommend sticking to `.env`.
 
 Integration settings that deal with external systems such as TLS, accounts, and notebooks require having launched them. If you are not integrating into existing ones, see the initial [setup section](setup.md) for how to quicklaunch a Graphistry server.
 
 ## Monitoring
 
 By default, `graph-app-kit` logging uses the Docker json file driver:
 
-* Inspect recent activities: `cd src/docker` and then `sudo docker-compose logs -f -t --tail=100`
+* Inspect recent activities: `cd src/docker` and then `sudo docker compose logs -f -t --tail=100`
 
 * Setup [alternative logging drivers](https://docs.docker.com/config/containers/logging/configure/)
 
@@ -24,7 +24,7 @@ By default, `graph-app-kit` logging uses the Docker json file driver:
 
 ## TLS with Cadddy
 
-* Auth: See [Caddy sample](src/caddy/Caddyfile) reverse proxy example for an authentication check against an account system, including the one shipping with your Graphistry server (requires `sudo docker-compose restart caddy` in your Graphistry server upon editing `/var/graphistry/data/config/Caddyfile`)
+* Auth: See [Caddy sample](src/caddy/Caddyfile) reverse proxy example for an authentication check against an account system, including the one shipping with your Graphistry server (requires `sudo docker compose restart caddy` in your Graphistry server upon editing `/var/graphistry/data/config/Caddyfile`)
 
 ## Public+Private views
 * To simulatenously run 1 public and 1 private instance, create two `graph-app-kit` clones `public_dash` and `private_dash`, and for `src/docker/.env`, set:

docs/neptune-manual.md

@@ -40,11 +40,11 @@ Reset and restart your `graph-app-kit` container:
 
 ```bash
 cd src/docker
-sudo docker-compose down -v
-sudo docker-compose up -d
+sudo docker compose down -v
+sudo docker compose up -d
 ```
 
-Watch logs with `sudo docker-compose logs -f -t --tail=1`
+Watch logs with `sudo docker compose logs -f -t --tail=1`
 
 Access your Streamlit instance at http://the.public.ip.address:8501
 

docs/neptune.md

@@ -112,11 +112,11 @@ Launch using a button at the bottom of the [identity graph sample cloud formatio
 * **Streamlit: Public dashboards**
   * **http://[the.public.ip.address]/public/dash**
   * Installed at `/home/ubuntu/graph-app-kit/public/graph-app-kit`
-  * Run as `src/docker $ docker-compose -p pub run -d --name streamlit-pub streamlit`
+  * Run as `src/docker $ docker compose -p pub run -d --name streamlit-pub streamlit`
 * **Streamlit: Private dashboards**
   * **http://[the.public.ip.address]/private/dash**
   * Installed at `/home/ubuntu/graph-app-kit/private/graph-app-kit`
-  * Run as `src/docker $ docker-compose -p priv run -d --name streamlit-priv streamlit`
+  * Run as `src/docker $ docker compose -p priv run -d --name streamlit-priv streamlit`
 * **Jupyter: Data science notebooks + Streamlit dashboard live-editing**
   * **http://[the.public.ip.address]/notebook**
   * Live-edit `graph-app-kit` view folders `notebook/graph-app-kit/[public,private]/views`
@@ -126,7 +126,7 @@ Launch using a button at the bottom of the [identity graph sample cloud formatio
 * **Streamlit: Public dashboards**
   * **http://[the.public.ip.address]/public/dash**
   * Installed at `/home/ubuntu/graph-app-kit/public/graph-app-kit`
-  * Run as `src/docker $ docker-compose up -d streamlit`
+  * Run as `src/docker $ docker compose up -d streamlit`
 
 ## 4. Next steps
 

docs/setup-manual.md

@@ -10,7 +10,7 @@ For quick launchers, see the [AWS quick launch setup guide](setup.md).
 
 * Ubuntu 18.04 LTS is the most common choice for containerized GPU computing
 
-* Install docker-ce and docker-compose
+* Install docker-ce and docker compose
 
 * Optional:
    * GPU: If you have a [RAPIDS.ai](https://www.rapids.ai)-compatible GPU (see below), install the Nvidia docker runtime and set it as the default for Docker daemons
@@ -57,9 +57,9 @@ GRAPHISTRY_PASSWORD=your_password
 
 `cd src/docker` and then:
 
-* Start: `sudo docker-compose up -d`
+* Start: `sudo docker compose up -d`
 * Use: Go to `http://localhost:8501/dashboard` (or whatever the public IP)
-* Stop: `sudo docker-compose down -v`
+* Stop: `sudo docker compose down -v`
 
 ## Graph!
 

docs/setup.md

@@ -85,11 +85,11 @@ Go to your public Streamlit dashboard and start exploring: http://[the.public.ip
 * **Streamlit: Public dashboards**
   * **http://[the.public.ip.address]/public/dash**
   * Installed at `/home/ubuntu/graph-app-kit/public/graph-app-kit`
-  * Run as `src/docker $ docker-compose -p pub run -d --name streamlit-pub streamlit`
+  * Run as `src/docker $ docker compose -p pub run -d --name streamlit-pub streamlit`
 * **Streamlit: Private dashboards**
   * **http://[the.public.ip.address]/private/dash**
   * Installed at `/home/ubuntu/graph-app-kit/private/graph-app-kit`
-  * Run as `src/docker $ docker-compose -p priv run -d --name streamlit-priv streamlit`
+  * Run as `src/docker $ docker compose -p priv run -d --name streamlit-priv streamlit`
 * **Jupyter: Data science notebooks + Streamlit dashboard live-editing**
   * **http://[the.public.ip.address]/notebook**
   * Live-edit `graph-app-kit` view folders `notebook/graph-app-kit/[public,private]/views`
@@ -99,7 +99,7 @@ Go to your public Streamlit dashboard and start exploring: http://[the.public.ip
 * **Streamlit: Public dashboards**
   * **http://[the.public.ip.address]/public/dash**
   * Installed at `/home/ubuntu/graph-app-kit/public/graph-app-kit`
-  * Run as `src/docker $ docker-compose up -d streamlit`
+  * Run as `src/docker $ docker compose up -d streamlit`
 
 ## 4. Optional - administer
 
@@ -127,19 +127,19 @@ For more advanced Graphistry administration, so the [Graphistry admin docs repo]
 
 ```bash
 # restart a graphistry container
-cd graphistry && sudo docker-compose restart MY_CONTAINER  # do *not* run it's caddy (v2)
+cd graphistry && sudo docker compose restart MY_CONTAINER  # do *not* run it's caddy (v2)
 
 # restart caddy (Caddy 1 override over Graphistry's Caddy 2)
-cd graphistry && sudo docker-compose -f docker-compose.gak.graphistry.yml up -d caddy
+cd graphistry && sudo docker compose -f docker-compose.gak.graphistry.yml up -d caddy
 ```
 
 ### Streamlit
 
-Use `docker-compose` project names (`-p the_name`) to distinguish your public vs private dashboards:
+Use `docker compose` project names (`-p the_name`) to distinguish your public vs private dashboards:
 
 ```bash
-cd graph-app-kit/public/graph-app-kit && docker-compose -p pub run -d --name streamlit-pub streamlit
-cd graph-app-kit/private/graph-app-kit && docker-compose -p priv run -d --name streamlit-priv streamlit
+cd graph-app-kit/public/graph-app-kit && docker compose -p pub run -d --name streamlit-pub streamlit
+cd graph-app-kit/private/graph-app-kit && docker compose -p priv run -d --name streamlit-priv streamlit
 ```
 
 ## 5. Next steps

docs/tigergraph.md

@@ -43,7 +43,7 @@ TIGERGRAPH_GRAPHNAME=AntiFraud
 TIGERGRAPH_SECRET=mysecret
 ```
 
-3. Restart your Streamlit container with the new creds: `cd src/docker && sudo docker-compose up -d --force-recreate`
+3. Restart your Streamlit container with the new creds: `cd src/docker && sudo docker compose up -d --force-recreate`
 
 ## Explore
 

docs/views.md

@@ -10,7 +10,7 @@ Not required but recommended, we recommend setting up Jupyter-based shared web a
 
 * Modify Python files in `src/python/views/[your dashboard]/__init__.py`, and in-tool, hit the `rerun` button that appears
 * Add new views by adding `views/[your dsahboard]/__init__.py` with methods `def info(): return {'name': 'x'}` and `def run(): None`
-* Add new dependencies: modify `src/python/requirements-app.txt` and rerun `docker-compose build` and restart
+* Add new dependencies: modify `src/python/requirements-app.txt` and rerun `docker compose build` and restart
 
 ## Toggle views
 

src/bootstraps/core/graphistry.sh

@@ -58,11 +58,11 @@ echo '----- Finish pub vs. priv .env specialization'
 echo '----- Launching graph-app-kit as streamlit-pub/priv:8501'
 ( \
   cd "${GAK_PUBLIC}/src/docker" \
-  && sudo docker-compose -p pub run -d --name streamlit-pub streamlit \
+  && sudo docker compose -p pub run -d --name streamlit-pub streamlit \
 )
 ( \
   cd "${GAK_PRIVATE}/src/docker" \
-  && sudo docker-compose -p priv run -d --name streamlit-priv streamlit \
+  && sudo docker compose -p priv run -d --name streamlit-priv streamlit \
 )
 
 ./hello-end.sh "$SCRIPT"

src/bootstraps/neptune/graphistry.sh

@@ -58,11 +58,11 @@ echo "BASE_PATH=private/dash/" | sudo tee -a "${GAK_PRIVATE}/src/docker/.env"
 echo '----- Launching graph-app-kit as streamlit-pub/priv:8501'
 ( \
   cd "${GAK_PUBLIC}/src/docker" \
-  && sudo docker-compose -p pub run -d --name streamlit-pub streamlit \
+  && sudo docker compose -p pub run -d --name streamlit-pub streamlit \
 )
 ( \
   cd "${GAK_PRIVATE}/src/docker" \
-  && sudo docker-compose -p priv run -d --name streamlit-priv streamlit \
+  && sudo docker compose -p priv run -d --name streamlit-priv streamlit \
 )
 
 ./hello-end.sh "$SCRIPT"

src/bootstraps/neptune/minimal.sh

@@ -49,7 +49,7 @@ echo '===== Configuring graph-app-kit with Graphistry account and Neptune ====='
 echo '----- Launching graph-app-kit as streamlit-pub:8501'
 ( \
   cd "${GAK_PUBLIC}/src/docker" \
-  && sudo /usr/local/bin/docker-compose up -d streamlit \
+  && sudo /usr/local/bin/docker compose up -d streamlit \
 )
 
 ./hello-end.sh "$SCRIPT"

src/bootstraps/scripts/docker-aws.sh

@@ -9,8 +9,8 @@ sudo service docker start
 sudo usermod -a -G docker ec2-user
 sudo chkconfig docker on
 
-sudo curl -L https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose
-sudo chmod +x /usr/local/bin/docker-compose
-docker-compose version
+sudo curl -L https://github.com/docker/compose/releases/latest/download/docker compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker compose
+sudo chmod +x /usr/local/bin/docker compose
+docker compose version
 
 ./hello-end.sh "$SCRIPT"

src/bootstraps/scripts/docker-container-build.sh

@@ -2,7 +2,7 @@
 set -ex
 
 SCRIPT="Build graph-app-kit docker"
-DC_ALIAS=${DC_ALIAS:-docker-compose}
+DC_ALIAS=${DC_ALIAS:-docker compose}
 ./hello-start.sh "$SCRIPT"
 
 ( cd ../../docker && $DC_ALIAS build )

src/bootstraps/scripts/graphistry-service-account.sh

@@ -10,7 +10,7 @@ SCRIPT="Get AWS Instance ID"
     cd "${GRAPHISTRY_HOME}" \
     && ( \
         until ( curl -fsS http://localhost/streamgl-gpu/secondary/gpu/health > /dev/null ); \
-        do ( docker-compose ps && sleep 1 ); \
+        do ( docker compose ps && sleep 1 ); \
         done \
     )
 )
@@ -24,7 +24,7 @@ POST_SCRIPT="CELERY_BROKER_URL=zz python manage.py shell && echo done || { echo
 
 ( \
     cd "${GRAPHISTRY_HOME}" \
-    && docker-compose exec -T nexus \
+    && docker compose exec -T nexus \
         bash -c \
           "source activate rapids && echo \"${ADD_USER_SCRIPT}; ${VERIFY_USER_SCRIPT}\" | ${POST_SCRIPT}" \
 )

src/bootstraps/scripts/graphistry-wait-healthy.sh

@@ -7,20 +7,20 @@ SCRIPT="Wait Graphistry docker containers healthy"
 
 ( \
   cd "${GRAPHISTRY_HOME}" \
-  && for i in `sudo docker-compose ps --services`; do ( \
+  && for i in `sudo docker compose ps --services`; do ( \
     ( \
         until ( \
           [[ '"healthy"' == $(sudo docker inspect "graphistry_${i}_1" --format "{{json .State.Health.Status}}") ]] \
         ); do ( \
         echo "waiting on $i (5s)" \
-        && sudo docker-compose ps \
+        && sudo docker compose ps \
         && sleep 5 \
         ); done \
     ) && echo "healthy $i" \
   ); done \
 )
 
 echo "--- Graphistry status after healthy waiting ---"
-( cd "${GRAPHISTRY_HOME}" && sudo docker-compose ps )
+( cd "${GRAPHISTRY_HOME}" && sudo docker compose ps )
 
 ./hello-end.sh "$SCRIPT"

src/bootstraps/scripts/swap-caddy.sh

@@ -2,10 +2,10 @@
 set -ex
 
 ## Graphistry now uses Caddy2, and until Caddy 2 supports simple auth, g-a-k still sticks with Caddy1
-## ... So we stop Graphistry's Caddy 2  and put in a docker-compose of its old
+## ... So we stop Graphistry's Caddy 2  and put in a docker compose of its old
 
 CADDY_FILENAME=${CADDY_FILENAME:-full.Caddyfile}
-CADDY_COMPOSE_FILENAME=${CADDY_COMPOSE_FILENAME:-docker-compose.gak.graphistry.yml}
+CADDY_COMPOSE_FILENAME=${CADDY_COMPOSE_FILENAME:-docker compose.gak.graphistry.yml}
 
 SCRIPT="Swap Caddyfile"
 ./hello-start.sh "$SCRIPT"
@@ -16,10 +16,10 @@ sudo cp "../../caddy/${CADDY_COMPOSE_FILENAME}" "${GRAPHISTRY_HOME}/${CADDY_COMP
 sudo cp "../../caddy/${CADDY_FILENAME}" "${GRAPHISTRY_HOME}/data/config/Caddyfile"
 ( \
     cd "${GRAPHISTRY_HOME}" \
-    && sudo docker-compose stop caddy \
-    && sudo docker-compose -f "${CADDY_COMPOSE_FILENAME}" up -d caddy \
-    && sudo docker-compose ps \
-    && sudo docker-compose -f "${CADDY_COMPOSE_FILENAME}" ps \
+    && sudo docker compose stop caddy \
+    && sudo docker compose -f "${CADDY_COMPOSE_FILENAME}" up -d caddy \
+    && sudo docker compose ps \
+    && sudo docker compose -f "${CADDY_COMPOSE_FILENAME}" ps \
 )
 
 ./hello-end.sh "$SCRIPT"

src/caddy/Caddyfile

@@ -8,7 +8,7 @@
 ###                                                                                      #
 ###   -- Relaunch:                                                                       #
 ###                                                                                      #
-###      docker-compose stop caddy && docker-compose up -d                               #
+###      docker compose stop caddy && docker compose up -d                               #
 ###                                                                                      #
 ##########################################################################################
 

src/caddy/docker-compose.gak.graphistry.yml

@@ -1,4 +1,4 @@
-#Reuse graphistry's docker-compose setup.. except downgrade to caddy1 for auth support
+#Reuse graphistry's docker compose setup.. except downgrade to caddy1 for auth support
 #Start _after_ graphistry
 
 version: '3.5'