ogc-edr-profile 1.0.1

Authoritative tooling for creating OGC API - EDR Part 3 Service Profiles

OGC API - EDR Part 3 Service Profile Generator

Authoritative tooling for creating OGC API - Environmental Data Retrieval (EDR) Part 3 Service Profiles, built on Pydantic and edr-pydantic.

Overview

Profile structure is defined as Pydantic models (src/models.py). Instantiating a ServiceProfile validates the entire profile — enums enforce normative OGC values, cross-model validators catch referential errors — before any files are written.

Collections use edr-pydantic's authoritative Collection model directly, meaning a profile config is simultaneously a valid EDR collection descriptor and a Part 3 profile definition.

Installation

pip install ogc-edr-profile

Usage

Generate profile artifacts

ogc-edr-profile generate --config examples/water_gauge.yaml --output ./my_profile

Validate a config without generating output

ogc-edr-profile validate --config examples/water_gauge.yaml

Export the JSON Schema

ogc-edr-profile schema --output profile.schema.json

The schema can be used for editor autocompletion — point your YAML extension at profile.schema.json to get inline validation and suggestions while authoring configs.

Output

my_profile/
├── openapi.yaml
├── asyncapi.yaml                        # if pubsub is configured
├── profile_config.json                  # round-trip model export
├── requirements/
│   ├── requirements_class_core.adoc
│   └── core/REQ_<id>.adoc
└── abstract_tests/
    ├── ATS_class_core.adoc
    └── core/ATS_<id>.adoc

Getting Started

The fastest way to create a profile is to copy the example and modify it:

cp examples/water_gauge.yaml my_profile.yaml

Then edit my_profile.yaml — at minimum change name, title, and the collection id. Validate as you go:

ogc-edr-profile validate --config my_profile.yaml

Once valid, generate:

ogc-edr-profile generate --config my_profile.yaml --output ./my_profile

If you prefer to build from scratch, the minimal valid config looks like this:

name: my_profile
title: My EDR Profile

collections:
  - id: my_collection
    links:
      - href: https://example.com/collections/my_collection
        rel: self
        type: application/json
    extent:
      spatial:
        bbox:
          - [-180, -90, 180, 90]
        crs: "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
    parameter_names: {}

From there, add data_queries to declare which query types your collection supports, output_formats to declare response formats, requirements to define normative statements, and abstract_tests to define conformance tests. Each section is described in detail below.

---

Authoring a Profile Config

A profile config is a YAML or JSON file that defines a ServiceProfile. The full machine-readable schema is in profile.schema.json. Below is a field-by-field reference.

Top-level fields

Field	Type	Required	Description
name	string	yes	Lowercase identifier using only a-z, 0-9, _. Used in OGC URIs, filenames, and OpenAPI operationIds. e.g. water_gauge
title	string	yes	Human-readable profile title. e.g. Water Gauge Observations Profile
version	string	no	Profile version. Defaults to 1.0
collections	list	yes	One or more EDR collections (see below)
requirements	list	no	Normative requirements (see below)
abstract_tests	list	no	Conformance tests — each must reference a valid requirement id (see below)
pubsub	object	no	OGC API - EDR Part 2 PubSub configuration (see below)

---

collections[]

Each collection uses the edr-pydantic Collection schema — the same model an EDR server returns at /collections/{id}. Key fields:

Field	Type	Required	Description
id	string	yes	Collection identifier. e.g. water_gauge
title	string	no	Human-readable collection name
description	string	no	Collection description
links	list	yes	At minimum a self link
extent	object	yes	Spatial (and optionally temporal/vertical) extent
extent.spatial.bbox	list	yes	Bounding box as [[minLon, minLat, maxLon, maxLat]]
extent.spatial.crs	string	yes	CRS URI, typically http://www.opengis.net/def/crs/OGC/1.3/CRS84
data_queries	object	no	Which EDR query types this collection supports (see below)
output_formats	list	no	Supported output format labels e.g. GeoJSON, CoverageJSON, CSV
parameter_names	object	no	Map of parameter id → Parameter object describing observed properties

data_queries

Each key is an EDR query type. Set it to enable that query type for the collection. Supported keys:

items · position · area · radius · cube · trajectory · corridor · locations · instances

Each value is an EDRQuery object with a link field:

data_queries:
  position:
    link:
      href: https://example.com/collections/water_gauge/position
      rel: data
      variables:
        query_type: position
        output_formats:
          - CoverageJSON
  items:
    link:
      href: https://example.com/collections/water_gauge/items
      rel: data
      variables:
        query_type: items
        output_formats:
          - GeoJSON
          - CSV

parameter_names

Describes the observed properties the collection exposes. Each entry is a Parameter object:

parameter_names:
  gauge_height:
    type: Parameter
    observedProperty:
      label: Gauge Height
    unit:
      label: feet
      symbol: ft
  streamflow:
    type: Parameter
    observedProperty:
      label: Streamflow
    unit:
      label: cubic feet per second
      symbol: cfs

---

requirements[]

Normative requirements that implementations of this profile must satisfy. Each requirement becomes a REQ_<id>.adoc file and an entry in the requirements class.

Field	Type	Required	Description
id	string	yes	Lowercase, hyphen-separated identifier. e.g. data-query-items-water-gauge. Must match pattern ^[a-z0-9][a-z0-9\-]*$
statement	string	yes	One-sentence normative statement of the requirement
parts	list[string]	yes	One or more SHALL/MUST clauses that make up the requirement body

requirements:
  - id: data-query-items-water-gauge
    statement: The water_gauge collection SHALL support the Items query type.
    parts:
      - The service SHALL provide a /collections/water_gauge/items endpoint.
      - The Items query SHALL return a GeoJSON FeatureCollection.

---

abstract_tests[]

Conformance tests corresponding to requirements. Each test becomes an ATS_<id>.adoc file and an entry in the conformance class. Every requirement_id must match an existing requirement id — the model validator will reject the profile if not.

Field	Type	Required	Description
id	string	yes	Must equal requirement_id
requirement_id	string	yes	The id of the requirement this test validates
steps	list[string]	yes	Ordered test steps

abstract_tests:
  - id: data-query-items-water-gauge
    requirement_id: data-query-items-water-gauge
    steps:
      - Send GET request to /collections/water_gauge/items.
      - Verify the response is a valid GeoJSON FeatureCollection.

---

pubsub

Optional. Configures OGC API - EDR Part 2 (PubSub) output. When present, an asyncapi.yaml is generated.

Field	Type	Default	Description
broker_host	string	localhost	Message broker hostname
broker_port	integer	5672	Broker port (1–65535)
protocol	string	amqp	One of amqp, mqtt, kafka
filters	list	[]	Subscription filters (see below)

pubsub.filters[]

Field	Type	Required	Description
name	string	yes	Filter parameter name
description	string	yes	What the filter does
type	string	no	One of string, number, array, boolean. Defaults to string

pubsub:
  broker_host: localhost
  broker_port: 5672
  protocol: amqp
  filters:
    - name: state
      description: Filter by US state abbreviation.
      type: string
    - name: threshold_ft
      description: Only notify when gauge height exceeds this value.
      type: number

---

See examples/water_gauge.yaml for a complete working config.

Programmatic Use

from ogc_edr_profile.models import ServiceProfile
from ogc_edr_profile.generate import generate
from pathlib import Path

profile = ServiceProfile.model_validate(config_dict)
generate(profile, Path("./output"))

Repository Structure

├── src/
│   ├── models.py         # Authoritative Pydantic schema
│   ├── generate.py       # Serialization: validated model → OpenAPI, AsyncAPI, AsciiDoc
│   └── cli.py            # CLI entry point
├── examples/
│   └── water_gauge.yaml  # Complete example profile config
├── profile.schema.json   # Machine-readable JSON Schema for profile configs
└── pyproject.toml

Standards

• OGC API - EDR Part 1: Core
• OGC API - EDR Part 2: PubSub
• OGC API - EDR Part 3: Service Profiles (draft)
• OpenAPI 3.0 / AsyncAPI 3.0
• Metanorma/AsciiDoc documentation format

License

Apache License 2.0 — See LICENSE for details.

Contact

• Author: Shane Mill (NOAA/NWS/MDL)
• Email: [e-mail]
• Issues: https://github.com/ShaneMill1/OGC-Service-Profile-Creation/issues