create-oda-component

name

create-oda-component

description

Build a complete TM Forum ODA Component implementation from scratch, including Node.js microservice source code, Dockerfiles, and Kubernetes Helm charts. Use this skill whenever the user wants to: - Create, build, scaffold, implement, or generate an ODA Component - Build an implementation for a standard TMForum component (TMFC001 through TMFC062) - Generate source code and/or Helm charts following the ODA Component standard - Ask "how do I build TMFC006?" or "I want to implement Service Catalog Management" Invoke whenever you see: "create ODA component", "build TMForum component", "scaffold TMFC", "implement ODA", "new ODA component", or any mention of TMFCxxx component codes.

Create ODA Component

A standalone skill for building complete TM Forum ODA Component implementations. All reference patterns and reusable template files are bundled within this skill in the templates/ directory, so the skill can be installed in any repository.

What you will build

For each new component you generate:

1. Source code (source/{ComponentName}/) — Node.js microservices for each exposed API, plus initialization jobs and a metrics microservice
2. Helm chart (charts/{ComponentName}/) — Kubernetes manifests including the ODA Component CRD, API deployments, MongoDB, services, jobs, and PVC

Before starting, read these reference files as needed:

• references/component-list.md — Full list of ODA Components and spec URL pattern
• references/source-patterns.md — Source code structure, Node.js patterns, dockerfiles
• references/chart-patterns.md — Helm chart structure and template patterns

Template files bundled in this skill:

• templates/source/utils/ — 14 shared Node.js utility files (copy verbatim into every microservice)
• templates/source/index.html_replacement — Swagger UI customization file
• templates/source/roleInitializationMicroservice/ — Role init job implementation (copy verbatim)
• templates/source/openMetricsMicroservice/ — Metrics microservice implementation (customize counter name)
• templates/source/componentInitializationMicroservice/ — Component init job reference (customize API URL)
• templates/source/MCPServerMicroservice/ — MCP server reference implementation (customize per component)
• templates/charts/templates/deployment-rolemanagement.yaml — Conditional role management deployment template
• templates/charts/README.md — Chart README reference example

---

Step 1 — Component Selection

Ask the user which ODA Component they want to build. Read references/component-list.md and present the full table of ~35 components so the user can choose by code (e.g. TMFC006) or name (e.g. "Service Catalog Management").

Once the user picks a component, fetch the official specification YAML:

https://raw.githubusercontent.com/tmforum-rand/TMForum-ODA-Ready-for-publication/v1.0.0/{CODE}-{ShortName}/Specification/{CODE}-{ShortName}.yaml

Parse the fetched YAML to understand:

• spec.componentMetadata — id, name, description, functionalBlock, publicationDate
• spec.coreFunction.exposedAPIs — APIs the component exposes (check required field)
• spec.coreFunction.dependentAPIs — APIs the component consumes
• spec.securityFunction.exposedAPIs — Security API (typically TMF672 PermissionSpecificationSet)
• spec.managementFunction.exposedAPIs — Management API (typically open metrics)
• spec.eventNotification — Published and subscribed events

---

Step 2 — API Selection

Identify which exposed APIs are mandatory (required: true) and which are optional (required: false).

Always implement:

• All mandatory exposed APIs (required: true in the spec's coreFunction.exposedAPIs)
• The security API — use the existing shared lesterthomas/permissionspecapi:0.20 (TMF672 PermissionSpecificationSet) image. This is the standard for all components.
• The management API (open metrics — use a component-specific tag, e.g. lesterthomas/{componentnamelower}metrics:0.1)

Ask the user about each optional API:

"The specification includes these optional exposed APIs. Which would you like to implement?

• {API name} ({TMFXXX}) — {short description from spec}
• {API name} ({TMFXXX}) — ..."

Also ask:

"Would you also like to generate an MCP server microservice for AI agent access to this component's APIs? (Following the Python/FastMCP pattern from ProductCatalog)"

Note which APIs the user selects — this determines what microservices and Helm templates to generate.

---

Step 3 — Gather Docker Registry Info

Ask the user for their Docker Hub namespace (or container registry) for the new images:

"What Docker Hub username or container registry namespace should I use for the new images? (e.g. myorg)"

This is used in builddockerfile.sh and values.yaml.

---

Step 4 — Generate Source Code

Read references/source-patterns.md for all patterns before generating files.

Create source/{ComponentName}/ with this structure:

4a — For each selected exposed API (including mandatory ones)

Create {apiname}Microservice/implementation/ with:

api/swagger.yaml — Download the OpenAPI spec from the URL in the specification YAML's specification[0].url field. Save it as swagger.yaml. This is the spec the Node.js server loads at startup.

• Always use YAML format. Never use JSON (swagger.json) — swaggerUtils.js reads swagger.yaml exclusively.
• Always remove the host: field from the downloaded spec (delete the line entirely). Leaving host undefined causes swagger-ui to use the current page's host, which is correct behaviour when the API is accessed through the ODA Canvas ingress at localhost. A hardcoded value such as serverRoot or any other placeholder will cause swagger-ui to show a wrong Base URL.
• After downloading, add x-swagger-router-controller to every operation in the spec. Map each operation's first tag to the corresponding PascalCase controller filename (e.g. tag productOrder → controller ProductOrder). This is required because Linux's case-sensitive filesystem cannot match a lowercase tag name to a PascalCase .js file. Without this field, swagger-tools will fail at runtime with Cannot resolve the configured swagger-router handler. The mapping pattern is: take the tag, split on spaces (for multi-word tags), PascalCase each word, join — e.g. events subscription → EventsSubscription, notification listeners (client side) → NotificationListenersClientSide.

index.js — Follow the exact pattern from references/source-patterns.md. Key customizations:

• Set componentName default to r1-{componentnamelower} for local testing
• The swagger basePath comes from the downloaded swagger spec
• Always register the entrypoint after swagger-ui: app.use(swaggerDoc.basePath, entrypointUtils.entrypoint) — this provides a JSON _links document at the API root
• Always use swagger-ui-dist for the swagger UI (pass apiDocs, swaggerUi, and swaggerUiDir to middleware.swaggerUi())
• Always use the TError/sendError error handler pattern (not a simple res.end handler)

controllers/{Resource}.js — One file per resource defined in the swagger spec. Use the thin-passthrough pattern. Inspect the swagger spec's paths to identify which resources exist and which CRUD operations each supports.

service/{Resource}Service.js — One file per resource. Implement all CRUD operations defined in the swagger spec using the MongoDB promise chain pattern from references/source-patterns.md. Use listResource / retrieveResource utilities for GET operations.

Critical: registerListener and unregisterListener must always delegate to notificationUtils.register(req, res, next) and notificationUtils.unregister(req, res, next) respectively — never use the generic CRUD pattern for these. This ensures hub subscriptions are stored in the HUB collection that notificationUtils.publish reads from when dispatching events to registered listeners.

utils/ — Copy all 14 utility files from templates/source/utils/ (bundled in this skill) verbatim into each microservice. These are shared utilities that work across any TMF API.

package.json — Follow the pattern from references/source-patterns.md, updating name and description to match the specific API (e.g. "name": "service-catalog-management", "description": "TMF API Reference: TMF633 - Service Catalog Management").

config.json — {"strict_schema": true}

index.html_replacement — Copy from templates/source/index.html_replacement (bundled in this skill)

4b — Role Initialization Microservice

Create roleInitializationMicroservice/implementation/ using the pattern from references/source-patterns.md. This is identical across all components — copy from templates/source/roleInitializationMicroservice/ (bundled in this skill). The initialization.js supports both TMF669 and TMF672 via the USE_PERMISSION_SPEC env var.

4c — Open Metrics Microservice

Create openMetricsMicroservice/ using the pattern from references/source-patterns.md. This is nearly identical across all components — customize:

• Counter name: {componentnamelower}_api_counter — Important: Prometheus metric names must match [a-zA-Z_:][a-zA-Z0-9_:]* (no hyphens). Always derive the metric name by replacing hyphens with underscores: const metricName = componentName.replace(/-/g, '_'); then use metricName + '_api_counter'. The COMPONENT_NAME env var at runtime is typically {release}-{componentname} (e.g. pi1-productinventory), which contains hyphens.
• Description: reference the specific TMF API being monitored

4d — Dockerfiles

Create one dockerfile per microservice following the FROM node:16 / COPY / WORKDIR / RUN npm install / EXPOSE 8080 / CMD pattern.

Use FROM node:10.19 for roleInitializationMicroservice and openMetricsMicroservice (no port expose for role init).

4e — MCP Server (if user requested)

Follow the Python/FastMCP pattern from templates/source/MCPServerMicroservice/ (bundled in this skill — the product_catalog_mcp_server.py and product_catalog_api.py are ProductCatalog-specific examples to use as reference). Create:

• {componentname}MCPServerMicroservice/{componentname}_mcp_server.py — FastMCP server with tools for each resource CRUD operation
• {componentname}MCPServerMicroservice/{componentname}_api.py — httpx async API client
• {componentname}MCPServerMicroservice/pyproject.toml — Python dependencies (fastmcp, httpx, uvicorn)
• {componentname}-mcp-dockerfile — FROM python:3.13, RUN pip install ., CMD python {componentname}_mcp_server.py

4f — Build Script

Create builddockerfile.sh listing docker buildx build commands for all new images, using multi-platform linux/amd64,linux/arm64 builds. Follow the pattern from references/source-patterns.md.

Important naming rule for metrics image: Use a component-specific tag (e.g. {dockerhub-namespace}/{componentname}metrics:0.1) rather than the shared openmetrics:1.0 tag to avoid overwriting the ProductCatalog image. Update values.yaml metrics.image to match.

Do not include a permissionspecapi or partyroleapi build in builddockerfile.sh — both use pre-built shared images (lesterthomas/permissionspecapi:0.20 and lesterthomas/partyroleapi:1.1) with no source dockerfile in this directory.

---

Step 5 — Generate Helm Chart

Read references/chart-patterns.md for all patterns before generating templates.

Create charts/{ComponentName}/:

Chart.yaml

Fill in name (lowercase component name), description mentioning the component code and name, version: 1.0.0.

values.yaml

Fill in from the parsed specification YAML:

• component.id — from componentMetadata.id
• component.name — lowercase component name
• component.functionalBlock — from componentMetadata.functionalBlock
• component.publicationDate — from componentMetadata.publicationDate
• api.image — {dockerhub-namespace}/{componentname}api:0.1
• permissionspec.image: lesterthomas/permissionspecapi:0.20, permissionspec.enabled: true — always default to permissionspec
• partyrole.image: lesterthomas/partyroleapi:1.1 — kept for reference but permissionspec.enabled: true means it won't be used
• Add sections for each optional API that was selected (e.g. promotionmgmt.image, promotionmgmt.enabled: false)

templates/component-{componentname}.yaml (the ODA Component CRD)

This is the most important template. Build it from the fetched specification YAML:

1. spec.componentMetadata — pull description, functionalBlock, id, name from the spec
2. spec.coreFunction.exposedAPIs — add each selected API with proper gatewayConfiguration block using {{.Values.component.apipolicy.*}} Helm template expressions
3. For optional APIs, wrap in {{- if .Values.{optionalapi}.enabled }} conditional
4. For MCP server, wrap in {{- if .Values.component.MCPServer.enabled }}
5. spec.coreFunction.dependentAPIs — wrap in {{- if .Values.component.dependentAPIs.enabled }} conditional with {{- else }} that outputs []
6. spec.managementFunction — standard open metrics block
7. spec.securityFunction — conditional TMF672 block using {{- if .Values.permissionspec.enabled }}

Critical: Every path must use {{.Release.Name}}-{{.Values.component.name}} as the prefix. The API path should follow the pattern: /{release}-{componentname}/tmf-api/{apiPath}/v{n}.

templates/ (remaining templates)

Generate the following, following references/chart-patterns.md patterns exactly:

• deployment-{primary-api}api.yaml — customize startupProbe path to a real endpoint of that API
• deployment-mongodb.yaml — standard, copy pattern verbatim
• deployment-metricsapi.yaml — standard, copy pattern verbatim
• deployment-rolemanagement.yaml — conditional permissionspec/partyrole
• service-{primary-api}api.yaml — NodePort service for each API
• service-mongodb.yaml — standard MongoDB service
• service-registerallevents.yaml — metrics service (port 4000, selector: metricsapi)
• service-rolemanagement.yaml — conditional service (permissionspecapi or partyroleapi)
• job-roleinitialization.yaml — standard role init job (uses lesterthomas/roleinitialization:0.1)
• job-{componentname}initialization.yaml — component-specific init job
• persistentVolumeClaim-mongodb.yaml — standard 5Gi PVC

For each optional API that the user chose to include, add corresponding deployment-{optionalapi}api.yaml and service-{optionalapi}api.yaml templates (conditional on {{- if .Values.{optionalapi}.enabled }}).

---

Step 6 — Verify

After generation, run:

helm lint charts/{ComponentName}/

Fix any lint errors before finishing. Common issues:

• Missing required values in values.yaml that templates reference
• Port name string too long (Kubernetes limit is 15 characters)
• Indentation errors in generated YAML

---

Step 7 — Build and Push Docker Images

After helm lint passes, build and push all Docker images. Run from the source/{ComponentName}/ directory:

cd source/{ComponentName}/
bash builddockerfile.sh

Or run each command individually to monitor build output per image:

cd source/{ComponentName}/
docker buildx build -t "{dockerhub-namespace}/{componentnamelower}api:0.1" --platform "linux/amd64,linux/arm64" -f {componentnamelower}-dockerfile . --push
docker buildx build -t "{dockerhub-namespace}/{componentnamelower}initialization:0.1" --platform "linux/amd64,linux/arm64" -f {componentnamelower}initialization-dockerfile . --push
docker buildx build -t "{dockerhub-namespace}/{componentnamelower}metrics:0.1" --platform "linux/amd64,linux/arm64" -f openMetricsMicroservice-dockerfile . --push

Wait for each build to complete and confirm the push succeeded (pushing manifest for docker.io/... in the output).

Note: docker buildx requires a multi-platform builder. If not already set up, run docker buildx create --use --name multiarch-builder first.

Multi-Arch Build Reliability

Multi-platform builds can sometimes stall during the registry push phase despite successful local builds. If you encounter --push hanging indefinitely or manifest errors:

1. Add --provenance=false flag to all docker buildx build commands. This reduces manifest complexity and improves registry upload reliability:

   docker buildx build -t "{namespace}/{image}:0.1" --platform "linux/amd64,linux/arm64" -f {dockerfile} . --push --provenance=false
   

2. For persistent push failures, use the per-architecture workaround:

   # Build separate tags for each architecture
   docker buildx build -t "{namespace}/{image}:0.1-amd64" --platform linux/amd64 -f {dockerfile} . --push --provenance=false
   docker buildx build -t "{namespace}/{image}:0.1-arm64" --platform linux/arm64 -f {dockerfile} . --push --provenance=false
   
   # Compose multi-arch manifest from per-arch images
   docker buildx imagetools create -t {namespace}/{image}:0.1 {namespace}/{image}:0.1-amd64 {namespace}/{image}:0.1-arm64
   

   Single-platform pushes are more reliable than multi-platform --push, and imagetools create assembles the final manifest atomically.

3. Verify successful push by inspecting the manifest:

   docker buildx imagetools inspect {namespace}/{image}:0.1
   

   Both linux/amd64 and linux/arm64 manifests should be listed.

---

Step 8 — Generate README Files

Chart README (charts/{ComponentName}/README.md)

Model this on templates/charts/README.md (bundled in this skill). Include:

1. Title and intro — # Example {ComponentName} component with a one-line description linking to the TM Forum component directory page.

2. Functionality section — describe each function area:

   • Core function — list mandatory and optional exposed APIs, and any dependent APIs. For each optional feature, show the --set override to enable it:

     helm install <release name> oda-components/{componentnamelower} --set {feature}.enabled=true -n components
     

   • Management function — describe the open metrics endpoint and what business events are counted, mention Open Telemetry tracing with the OTLP config snippet from values.yaml.
   • Security function — describe the conditional TMF672/TMF669 role management with permissionspec.enabled.

3. Microservices list — bullet list of all microservices deployed, one line each describing what they do.

4. Installation section — step-by-step:

   helm install r1 .\{componentnamelower} -n components
   

   Show the kubectl get components -n components verification command and expected output with DEPLOYMENT_STATUS: Complete.

5. Configuration table — Markdown table of all configurable values.yaml keys with columns Variable Name, Default, Explanation. Cover at minimum:

   • mongodb.port, mongodb.database
   • api.image
   • api.otlp.console.enabled, api.otlp.protobuffCollector.enabled, api.otlp.protobuffCollector.url
   • metrics.image
   • permissionspec.enabled
   • Any component-specific optional API flags (e.g. promotionmgmt.enabled)

---

Source README (source/{ComponentName}/README.md)

Create a new file explaining the source code structure for developers who want to understand or extend it. Include:

1. Title and intro — # {ComponentName} Source Code — explain this is the Node.js reference implementation of the ODA component, and link to the chart folder for deployment.

2. Repository structure — a tree or table listing each top-level directory with a one-line description:

   Directory	Description
   {componentname}Microservice/	Node.js implementation of the TMF{xxx} {API Name} Open API
   roleInitializationMicroservice/	Bootstraps the initial role (PermissionSpecificationSet or PartyRole) on first deploy
   {componentname}InitializationMicroservice/	Registers the metrics microservice as an event listener on first deploy
   openMetricsMicroservice/	Prometheus/OpenMetrics endpoint that counts business events
   *-dockerfile	Dockerfile for each microservice
   builddockerfile.sh	Script to build and push all Docker images

3. Architecture overview — a short paragraph describing how the microservices interact:

   • The main API microservice stores data in MongoDB and publishes events to registered listeners via the hub endpoint.
   • The initialization job registers the metrics microservice as a listener.
   • The metrics microservice receives events and increments Prometheus counters.
   • The role initialization job creates the initial role in the permission/partyrole API on startup.

4. Main API microservice deep-dive ({componentname}Microservice/implementation/) — describe the layout:

   File/Folder	Description
   index.js	Entry point — loads swagger, wires middleware, starts HTTP server
   api/swagger.yaml	OpenAPI spec — defines all routes and schemas
   controllers/	Thin passthrough — maps swagger operationIds to service functions
   service/	Business logic — MongoDB CRUD, event publishing
   utils/	Shared utilities (mongoUtils, notificationUtils, swaggerUtils, etc.)
   config.json	Runtime config (strict_schema: true)
   package.json	npm dependencies

5. Building Docker images — show commands:

   cd source/{ComponentName}/
   bash builddockerfile.sh
   

   Or individually per image. Note the multi-platform build requires docker buildx.

6. Running locally (optional guidance) — briefly describe how a developer could run a single microservice locally for testing with a local MongoDB instance.

---

Step 9 — Summary

Tell the user what was created, what they need to do next:

1. Deploy: helm install r1 charts/{ComponentName}/ -n components
2. Verify: kubectl get components -n components — expect DEPLOYMENT_STATUS: Complete

---

Key Rules

• Never hardcode the Helm release name in templates. Always use {{.Release.Name}}.
• Always put the oda.tmforum.org/componentName: {{.Release.Name}}-{{.Values.component.name}} label on every Kubernetes resource.
• Follow the spec: The mandatory/optional distinction in exposedAPIs[].required must be respected — always implement required: true APIs, always ask about required: false APIs.
• Security API (securityFunction.exposedAPIs) is always implemented — use the existing shared role management implementation images unless the user wants custom ones.
• OpenAPI spec URLs: Get them from exposedAPIs[].specification[0].url in the specification YAML. The swagger spec must be downloaded and saved as api/swagger.yaml in each microservice.
• Naming consistency: The Kubernetes service name for each API becomes the hostname for inter-service communication. It must match the implementation field in the Component CRD and the selector in the Service template.
• Docker Buildx multi-arch: Always use --provenance=false on multi-platform builds. If standard multi-platform --push stalls, use per-arch --push followed by docker buildx imagetools create to compose the final manifest.