Skip to main content

iceberg-schema-tools

Create and maintain central iceberg schema. Render and validate FHIR data.

Overview

image

Code that generates the base schema from FHIR goes here. Additional tools are provided to lints, validates and visualize the schema.

Note: The actual schemas are stored in iceberg

Setup

pip install iceberg-tools

Use

$ iceberg schema
Usage: iceberg schema [OPTIONS] COMMAND [ARGS]...

  Manage bmeg or gen3 schemas from FHIR resources.

Options:
  --help  Show this message and exit.

Commands:
  generate  Generate from FHIR resources.
  compile   Create aggregated json file from individual yaml schemas

$ iceberg data

Usage: iceberg data [OPTIONS] COMMAND [ARGS]...

  Project data (ResearchStudy, ResearchSubjects, Patient, etc.).

Options:
  --help  Show this message and exit.

Commands:
  simplify             Renders PFB friendly flattened records.
  validate             Check FHIR data for validity and conventions.
  validate-simplified  Check simplified data for validity and conventions.
  pfb                  Write simplified FHIR files to a PFB.
  migrate              Migrate from FHIR R4B to R5.0.
  report               Aggregate avro pfb files into a cytoscape tsv.

Note: pfb_fhir and iceberg are synonymous in this context.

Examples

The commands:

pfb_fhir schema generate simplified
pfb_fhir data simplify --schema_path  iceberg/schemas/simplified/simplified-fhir.json tests/fixtures/simplify/study/ tmp/simplified
pfb_fhir data pfb tmp/simplified/ tmp/study.pfb
tree tmp

Will generate the following output:

INFO:'Records with relationships': 59413
INFO:'Records': 59460
tmp
├── simplified
│   ├── Condition.ndjson
│   ├── DocumentReference.ndjson
│   ├── Encounter.ndjson
│   ├── MedicationAdministration.ndjson
│   ├── Observation.ndjson
│   ├── Patient.ndjson
│   ├── ResearchStudy.ndjson
│   ├── ResearchSubject.ndjson
│   ├── Specimen.ndjson
│   └── Task.ndjson
└── study.pfb

Contributing

See CONTRIBUTING.md for developer notes.

Metadata

Release files for iceberg-tools 0.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for iceberg-tools 0.0.5
File Size Uploaded Provenance Actions
iceberg_tools-0.0.5.tar.gz 73.5 kB Without provenance Details for iceberg_tools-0.0.5.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for iceberg-tools 0.0.5
File Interpreter ABI Platform Actions
iceberg_tools-0.0.5-py3-none-any.whl Python 3 none any Details for iceberg_tools-0.0.5-py3-none-any.whl

Total release size: 188.5 kB

Release files / iceberg_tools-0.0.5.tar.gz

Download URL iceberg_tools-0.0.5.tar.gz
Size 73.5 kB
Tags Source
SHA-256 checksum
How to use checksums
ef5530054398d025362e9efc154e3c6df4d4f300ab42d632a055dc9ccdda6b96
BLAKE2b-256 checksum
How to use checksums
b47930c082b59ed59226a96a6404abda352dbf4e82a99e1b2921c08bb06c2afd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.18

Release files / iceberg_tools-0.0.5-py3-none-any.whl

Download URL iceberg_tools-0.0.5-py3-none-any.whl
Size 115.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
eddddeb2c85b866f855458a141fd1db969b3e890ea7bfec38d65ad5eb2a83d22
BLAKE2b-256 checksum
How to use checksums
c1921199599536fceeaefe6971a4c2bb5753b53379e9966f891178fc89857971
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.18

Security for iceberg-tools 0.0.5

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page