chatbot-rag-app: updates to latest openai and uses uv to compile deps (elastic#458)

Signed-off-by: Adrian Cole <[email protected]>

Author: codefromthecrypt

docker/docker-compose-elastic.yml

@@ -62,7 +62,7 @@ configs:
 
 services:
   elasticsearch:
-    image: docker.elastic.co/elasticsearch/elasticsearch:9.0.0
+    image: docker.elastic.co/elasticsearch/elasticsearch:9.0.1
     container_name: elasticsearch
     ports:
       - 9200:9200
@@ -98,7 +98,7 @@ services:
     depends_on:
       elasticsearch:
         condition: service_healthy
-    image: docker.elastic.co/elasticsearch/elasticsearch:9.0.0
+    image: docker.elastic.co/elasticsearch/elasticsearch:9.0.1
     container_name: elasticsearch_settings
     restart: 'no'
     # gen-ai assistants in kibana save state in a way that requires system
@@ -113,7 +113,7 @@ services:
       '
 
   kibana:
-    image: docker.elastic.co/kibana/kibana:9.0.0
+    image: docker.elastic.co/kibana/kibana:9.0.1
     container_name: kibana
     depends_on:
       elasticsearch_settings:
@@ -137,7 +137,7 @@ services:
       interval: 1s
 
   otel-collector:
-    image: docker.elastic.co/elastic-agent/elastic-otel-collector:9.0.0
+    image: docker.elastic.co/elastic-agent/elastic-otel-collector:9.0.1
     container_name: otel-collector
     depends_on:
       elasticsearch:

example-apps/chatbot-rag-app/Dockerfile

@@ -1,12 +1,12 @@
-FROM node:22-alpine AS build-step
+FROM node:24-alpine AS build-step
 WORKDIR /app
 ENV PATH=/node_modules/.bin:$PATH
 COPY frontend ./frontend
 RUN cd frontend && yarn install
 RUN cd frontend && REACT_APP_API_HOST=/api yarn build
 
 # Use glibc-based image to get pre-compiled wheels for grpcio and tiktoken
-FROM python:3.12-slim
+FROM python:3.13-slim
 
 WORKDIR /app
 RUN mkdir -p ./frontend/build

example-apps/chatbot-rag-app/README.md

@@ -159,21 +159,18 @@ nvm use --lts
 #### Configure your Python environment
 
 Before we can run the app, we need a working Python environment with the
-correct packages installed:
+correct packages installed. This uses [uv][uv] for efficiency.
 
 ```bash
-python3 -m venv .venv
-source .venv/bin/activate
-# Install dotenv which is a portable way to load environment variables.
-pip install "python-dotenv[cli]"
-pip install -r requirements.txt
+uv venv --python 3.13
+uv pip install -r requirements.txt
 ```
 
 #### Create your Elasticsearch index
 
 First, ingest the data into elasticsearch:
 ```bash
-dotenv run -- flask create-index
+uv run -q --env-file .env flask create-index
 ```
 
 *Note*: This may take several minutes to complete
@@ -182,7 +179,7 @@ dotenv run -- flask create-index
 
 Now, run the app, which listens on http://localhost:4000
 ```bash
-dotenv run -- python api/app.py
+uv run -q --env-file .env python api/app.py
 ```
 
 ## Advanced
@@ -196,7 +193,7 @@ This happens automatically, when using docker. If running with python directly,
 prefix `python` with `opentelemetry-instrument` to enable OpenTelemetry.
 
 ```bash
-dotenv run -- opentelemetry-instrument python api/app.py
+uv run -q --env-file .env opentelemetry-instrument python api/app.py
 ```
 
 [env.example](env.example) defaults to use an OpenTelemetry Collector,
@@ -219,20 +216,7 @@ To update package versions, recreate [requirements.txt](requirements.txt) and
 reinstall like this. Once checked in, any commands above will use updates.
 
 ```bash
-rm -rf .venv requirements.txt
-python3 -m venv .venv
-source .venv/bin/activate
-pip install --upgrade pip
-# Install dev requirements for pip-compile and edot-bootstrap
-pip install pip-tools elastic-opentelemetry
-# Recreate requirements.txt
-pip-compile
-# Install main dependencies
-pip install -r requirements.txt
-# Add opentelemetry instrumentation for these dependencies
-edot-bootstrap >> requirements.txt
-# Install opentelemetry dependencies
-pip install -r requirements.txt
+docker compose run --rm recreate-requirements
 ```
 
 ### Elasticsearch index and chat_history index
@@ -265,3 +249,4 @@ docker compose up --build --force-recreate
 [docker-compose]: ../../docker/docker-compose-elastic.yml
 [edot-python]: https://github.com/elastic/elastic-otel-python
 [k8s-manifest-elastic]: ../../k8s/k8s-manifest-elastic.yml
+[uv]: https://docs.astral.sh/uv/getting-started/installation/

example-apps/chatbot-rag-app/docker-compose.yml

@@ -33,3 +33,26 @@ services:
       - "4000:4000"
     extra_hosts:  # send localhost traffic to the docker host, e.g. your laptop
         - "localhost:host-gateway"
+
+  recreate-requirements:
+    image: python:3.13-slim
+    volumes:
+      - .:/src
+    working_dir: /build
+    profiles:
+      - util  # don't start this as a service
+    command: >
+      bash -c "
+        pip install uv &&
+        uv venv &&
+        cp /src/requirements.in . &&
+        # First, install the application requirements into the venv
+        uv pip compile requirements.in -o requirements.txt &&
+        uv pip sync requirements.txt &&
+        # Next, detect and add instrumentation requirements
+        uv pip install elastic-opentelemetry &&
+        uv run edot-bootstrap >> requirements.in &&
+        # Finally, recreate a new pinned requirements.txt
+        uv pip compile requirements.in -o requirements.txt
+        cp requirements.txt /src/requirements.txt
+      "