From c7338ad03751886a57f8a8df5b7b4cb2033297cc Mon Sep 17 00:00:00 2001 From: david Date: Thu, 1 Oct 2026 16:12:51 +0200 Subject: [PATCH] docs(examples): add dockerized knowledge base example Shows how to package a KB as a Docker image and run it next to a Smart Connector and Knowledge Directory with Docker Compose. KB identity and SC endpoint come from env vars via KnowledgeBaseSettings, so the image carries no configuration. A one-shot asker service demonstrates an end-to-end interaction. Closes #37 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- CONTEXT.md | 1 + README.md | 1 + examples/12-dockerized/.dockerignore | 5 + examples/12-dockerized/Dockerfile | 44 +++ examples/12-dockerized/README.md | 90 +++++++ examples/12-dockerized/app.py | 61 +++++ examples/12-dockerized/asker.py | 70 +++++ examples/12-dockerized/compose.yaml | 45 ++++ examples/12-dockerized/pyproject.toml | 12 + examples/12-dockerized/uv.lock | 369 ++++++++++++++++++++++++++ examples/README.md | 2 + 11 files changed, 700 insertions(+) create mode 100644 examples/12-dockerized/.dockerignore create mode 100644 examples/12-dockerized/Dockerfile create mode 100644 examples/12-dockerized/README.md create mode 100644 examples/12-dockerized/app.py create mode 100644 examples/12-dockerized/asker.py create mode 100644 examples/12-dockerized/compose.yaml create mode 100644 examples/12-dockerized/pyproject.toml create mode 100644 examples/12-dockerized/uv.lock diff --git a/CONTEXT.md b/CONTEXT.md index fc56088..e65c606 100644 --- a/CONTEXT.md +++ b/CONTEXT.md @@ -89,6 +89,7 @@ examples/ ask_interaction.py # ASK KI with a typed BindingModel post_measurement.py # POST KI with argument and result BindingModels 11-custom_datatypes.py # Custom literal datatypes with Datatype and RdfLiteral + 12-dockerized/ # Dockerfile + compose.yaml for running a KB next to an SC/KD custom-settings/ custom_settings.py # KnowledgeBaseSettings subclass + ki_from_settings pattern settings.yaml # Example YAML config for all four KI types diff --git a/README.md b/README.md index 77ccc44..0aca43b 100644 --- a/README.md +++ b/README.md @@ -80,6 +80,7 @@ The [`examples/`](./examples/) directory contains runnable examples covering all | [09-sparql-store/](./examples/09-sparql-store/) | Connecting a SPARQL store as a knowledge base | | [10-cli.py](./examples/10-cli.py) | Start a KB via the `knowledge-mapper run` CLI | | [11-custom_datatypes.py](./examples/11-custom_datatypes.py) | Literals with custom (non-XSD) datatypes in binding models | +| [12-dockerized/](./examples/12-dockerized/) | Package a KB as a Docker image and run it with a Smart Connector via Docker Compose | See the [examples README](./examples/README.md) for prerequisites and setup instructions. diff --git a/examples/12-dockerized/.dockerignore b/examples/12-dockerized/.dockerignore new file mode 100644 index 0000000..d7e26de --- /dev/null +++ b/examples/12-dockerized/.dockerignore @@ -0,0 +1,5 @@ +* +!pyproject.toml +!uv.lock +!app.py +!asker.py diff --git a/examples/12-dockerized/Dockerfile b/examples/12-dockerized/Dockerfile new file mode 100644 index 0000000..f4e162f --- /dev/null +++ b/examples/12-dockerized/Dockerfile @@ -0,0 +1,44 @@ +# syntax=docker/dockerfile:1.7 +# +# Packages the example knowledge base app as a Docker image. Build context is +# this folder: +# +# docker build -t km-dockerized-example . + +# ---------- Builder: install dependencies into /opt/venv with uv + +FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim AS builder + +ENV UV_COMPILE_BYTECODE=1 \ + UV_LINK_MODE=copy \ + UV_PYTHON_DOWNLOADS=never \ + UV_PROJECT_ENVIRONMENT=/opt/venv + +WORKDIR /src + +# Only the dependency manifests, so this layer stays cached until they change. +COPY pyproject.toml uv.lock ./ + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --locked --no-dev + +# ---------- Runtime: slim Python image with the venv, the app and a non-root user + +FROM python:3.13-slim-bookworm AS runtime + +RUN groupadd --system app && useradd --system --gid app --home-dir /app --create-home app + +COPY --from=builder /opt/venv /opt/venv + +ENV PATH="/opt/venv/bin:$PATH" \ + PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 + +WORKDIR /app +COPY app.py asker.py ./ + +USER app + +# The KB is a client of its Smart Connector, so no port is exposed. Exec form +# keeps the CLI as PID 1, so it receives SIGTERM and unregisters cleanly. +CMD ["knowledge-mapper", "run", "app.py:kb"] diff --git a/examples/12-dockerized/README.md b/examples/12-dockerized/README.md new file mode 100644 index 0000000..8b0a1e8 --- /dev/null +++ b/examples/12-dockerized/README.md @@ -0,0 +1,90 @@ +# 12 — Dockerized knowledge base + +Shows how to package a knowledge base (KB) application as a Docker image and run it +next to a Smart Connector (SC) and a Knowledge Directory (KD) using Docker Compose. +The KB logic is kept minimal; the focus is on the Docker workflow. You can apply this +pattern to any of the other examples. + +## Files + +| File | Purpose | +|------|---------| +| `app.py` | ANSWER KB that answers greeting requests. Started with `knowledge-mapper run app.py:kb`. | +| `asker.py` | One-shot ASK KB that queries `app.py` once to show the interaction works, then exits. | +| `pyproject.toml` / `uv.lock` | The app's dependencies (`knowledge-mapper` pinned to a release from PyPI). | +| `Dockerfile` | Multi-stage build: uv installs the locked dependencies into a venv; a slim runtime image runs the app as a non-root user. | +| `.dockerignore` | Keeps the build context limited to the files the image needs. | +| `compose.yaml` | Starts the KD, the SC, the answering KB and the asker. | + +## Run it + +From this folder: + +```bash +docker compose up --build +``` + +After a few seconds, the asker logs the answers it received from the dockerized KB +and exits: + +```text +asker-1 | ... [dockerized-asker] Received answer: {'greeting': '', 'text': '"Hello from a container!"'} +asker-1 | ... [dockerized-asker] Received answer: {'greeting': '', ...} +asker-1 exited with code 0 +``` + +The answering KB keeps running. Press `Ctrl+C`, or run `docker compose down` to stop +everything. On `SIGTERM`, the `knowledge-mapper` CLI unregisters the KB from the SC +before it exits. + +To run the asker again while the rest is up: + +```bash +docker compose run --rm asker +``` + +## How it works + +### Configuration through environment variables + +The image contains no configuration. Both scripts build their KB with +`KnowledgeBase.from_settings(KnowledgeBaseSettings())`. That reads the KB identity and +the SC endpoint from environment variables, with `__` as the separator for nested +fields: + +| Variable | Example | +|----------|---------| +| `KNOWLEDGE_BASE__ID` | `http://example.org/knowledge-mapper/dockerized#answer-kb` | +| `KNOWLEDGE_BASE__NAME` | `dockerized-answer-kb` | +| `KNOWLEDGE_BASE__DESCRIPTION` | `A dockerized KB that answers greeting requests.` | +| `KNOWLEDGE_ENGINE_ENDPOINT` | `http://smart-connector:8280/rest` | + +This lets you deploy the same image to different environments. The knowledge +interactions themselves are defined in code. + +### Networking + +All services share the default compose network and reach each other by service +name: + +- The KBs call the SC's REST API at `http://smart-connector:8280/rest`. +- The SC registers with the KD at `http://knowledge-directory:8282`. It announces + `KE_RUNTIME_EXPOSED_URL` (`http://smart-connector:8081`) as the address where other + SCs can reach it. + +A KB only makes outgoing requests (it long-polls its SC for incoming requests), so the +KB containers expose no ports. The SC's REST API is not published to the host either. +Add `ports: ["8280:8280"]` to the `smart-connector` service if you want to reach it +from the host, for example to run the other examples against it. + +### Startup order + +`depends_on` only waits for a container to start, not for the SC to be ready. If the +SC is not up yet, `knowledge-mapper run` exits with an error, and +`restart: unless-stopped` starts the KB again until registration succeeds. The asker +retries in code instead, both for connecting and until the answering KB responds. + +### Using a different `knowledge-mapper` version + +The version is pinned in `pyproject.toml`. To change it, edit the dependency and run +`uv lock` in this folder, then rebuild with `docker compose up --build`. diff --git a/examples/12-dockerized/app.py b/examples/12-dockerized/app.py new file mode 100644 index 0000000..5072a1d --- /dev/null +++ b/examples/12-dockerized/app.py @@ -0,0 +1,61 @@ +"""Dockerized example: an ANSWER knowledge base that runs inside a container. + +The KB logic is deliberately minimal (it answers with a fixed list of greetings); +the point of this example is the Docker workflow around it. See README.md. + +Nothing environment-specific is hard-coded: the KB identity and the Smart Connector +URL are read from environment variables by ``KnowledgeBaseSettings`` (nested fields +use ``__`` as delimiter), so the same image can be deployed anywhere: + + KNOWLEDGE_BASE__ID, KNOWLEDGE_BASE__NAME, KNOWLEDGE_BASE__DESCRIPTION, + KNOWLEDGE_ENGINE_ENDPOINT + +The container starts it with ``knowledge-mapper run app.py:kb``; the CLI handles +connect, register, the handling loop and unregistering on SIGTERM (``docker stop``). +""" + +import logging + +from knowledge_mapper import ( + BindingSet, + KnowledgeBase, + KnowledgeBaseSettings, + KnowledgeInteraction, +) + +# This file is copied into the image on its own, so it mirrors the logging helper in +# examples/shared.py instead of importing it. +logger = logging.getLogger("dockerized-example") +_handler = logging.StreamHandler() +_handler.setFormatter( + logging.Formatter("%(asctime)s [%(levelname)s] [dockerized-example] %(message)s") +) +logger.addHandler(_handler) +logger.setLevel(logging.INFO) + +settings = KnowledgeBaseSettings() # type: ignore[call-arg] +kb = KnowledgeBase.from_settings(settings).build() + + +@kb.answer_ki( + name="greeting-answer-ki", + graph_pattern=""" + ?greeting a ex:Greeting ; + ex:hasText ?text . + """, + prefixes={"ex": "http://example.org/knowledge-mapper/dockerized#"}, +) +def greeting_answer_ki( + binding_set: BindingSet, info: KnowledgeInteraction +) -> BindingSet: + logger.info(f"Answering a greeting request with bindings: {binding_set}") + return [ + { + "greeting": "", + "text": '"Hello from a container!"', + }, + { + "greeting": "", + "text": '"Goedemorgen vanuit een container!"', + }, + ] diff --git a/examples/12-dockerized/asker.py b/examples/12-dockerized/asker.py new file mode 100644 index 0000000..666409a --- /dev/null +++ b/examples/12-dockerized/asker.py @@ -0,0 +1,70 @@ +"""Dockerized example: a one-shot ASK knowledge base that queries ``app.py``. + +Runs from the same image as the answering KB (see compose.yaml) to show that the +dockerized KB is reachable on the knowledge network. It asks once, logs the +answers, unregisters and exits. + +Configured through the same environment variables as ``app.py``. +""" + +import asyncio +import logging + +from knowledge_mapper import KnowledgeBase, KnowledgeBaseSettings + +logger = logging.getLogger("dockerized-asker") +_handler = logging.StreamHandler() +_handler.setFormatter( + logging.Formatter("%(asctime)s [%(levelname)s] [dockerized-asker] %(message)s") +) +logger.addHandler(_handler) +logger.setLevel(logging.INFO) + +ATTEMPTS = 30 +RETRY_DELAY_SECONDS = 2 + +settings = KnowledgeBaseSettings() # type: ignore[call-arg] +kb = KnowledgeBase.from_settings(settings).build() + +kb.ask_ki( + name="greeting-ask-ki", + graph_pattern=""" + ?greeting a ex:Greeting ; + ex:hasText ?text . + """, + prefixes={"ex": "http://example.org/knowledge-mapper/dockerized#"}, +) + + +async def wait_for_smart_connector() -> None: + for _ in range(ATTEMPTS): + try: + await kb.connect() + return + except Exception as error: + logger.info(f"Smart Connector not ready yet ({error}), retrying...") + await asyncio.sleep(RETRY_DELAY_SECONDS) + raise RuntimeError("Smart Connector did not become available.") + + +async def main() -> None: + await wait_for_smart_connector() + await kb.register() + try: + # The answering KB may still be starting, so retry until it answers. + for _ in range(ATTEMPTS): + result = await kb.ask([], "greeting-ask-ki") + if result: + for binding in result: + logger.info(f"Received answer: {binding}") + return + logger.info("No answers yet, retrying...") + await asyncio.sleep(RETRY_DELAY_SECONDS) + raise RuntimeError("No knowledge base answered the greeting request.") + finally: + await kb.unregister() + await kb.close() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/12-dockerized/compose.yaml b/examples/12-dockerized/compose.yaml new file mode 100644 index 0000000..b9d28ee --- /dev/null +++ b/examples/12-dockerized/compose.yaml @@ -0,0 +1,45 @@ +# Runs the dockerized knowledge base next to a Smart Connector and a Knowledge +# Directory. Start with `docker compose up --build`; see README.md. + +services: + knowledge-directory: + image: ghcr.io/tno/knowledge-engine/knowledge-directory:1.3.2 + + smart-connector: + image: ghcr.io/tno/knowledge-engine/smart-connector:1.3.2 + environment: + # Address other Smart Connectors use to reach this one, via the KD. + KE_RUNTIME_EXPOSED_URL: http://smart-connector:8081 + KE_RUNTIME_PORT: 8081 + KD_URL: http://knowledge-directory:8282 + depends_on: + - knowledge-directory + # The REST API (port 8280) is only used by containers on this network, so it + # is not published. Add `ports: ["8280:8280"]` to reach it from the host. + + answer-kb: + build: . + image: km-dockerized-example:local + environment: + KNOWLEDGE_BASE__ID: http://example.org/knowledge-mapper/dockerized#answer-kb + KNOWLEDGE_BASE__NAME: dockerized-answer-kb + KNOWLEDGE_BASE__DESCRIPTION: A dockerized KB that answers greeting requests. + # Containers reach each other by service name on the compose network. + KNOWLEDGE_ENGINE_ENDPOINT: http://smart-connector:8280/rest + depends_on: + - smart-connector + # The KB exits if the Smart Connector is not up yet; restarting retries. + restart: unless-stopped + + asker: + # Same image as answer-kb, started with a different command. + build: . + image: km-dockerized-example:local + command: ["python", "asker.py"] + environment: + KNOWLEDGE_BASE__ID: http://example.org/knowledge-mapper/dockerized#asker + KNOWLEDGE_BASE__NAME: dockerized-asker + KNOWLEDGE_BASE__DESCRIPTION: A one-shot KB that asks the answer-kb for greetings. + 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Docker image and run it with a Smart Connector via Docker Compose | ## Prerequisites @@ -93,6 +94,7 @@ python -m pytest 07-testing/ 7. Run **08-async_handlers.py** to compare async and sync REACT handler behavior 8. Explore **09-sparql-store/** to see how to connect a SPARQL store 9. See **11-custom_datatypes.py** for literals with custom datatypes +10. Read **12-dockerized/** to package and deploy your KB with Docker ## Tips