Build OS address data for uk_address_matcher from either NGD (National Geographic Database) or ABP (AddressBase Premium).
- Python
3.10+ - OS Data Hub package and version IDs
- Network access to OS Downloads API
- Credentials in
.env:OS_PROJECT_API_KEYOS_PROJECT_API_SECRET
pip install ukam-os-builderOr with uv:
uv tool install ukam-os-builderYou can run commands directly from PyPI without a permanent install:
uvx --from ukam-os-builder ukam-os-setup --help
uvx --from ukam-os-builder ukam-os-build --helpExample full run:
uvx --from ukam-os-builder ukam-os-setup --config-out config.yaml
uvx --from ukam-os-builder ukam-os-build --config config.yamlAfter installation, CLI commands are available directly:
ukam-os-setup --help
ukam-os-build --help- Generate config with the setup wizard
ukam-os-setup --config-out config.yamlThis writes config.yaml and, by default, .env placeholders if .env does not already exist. The setup flow asks which source to use (ngd or abp) and stores it in config.yaml.
- Add real credentials
Edit .env:
OS_PROJECT_API_KEY=your_api_key_here
OS_PROJECT_API_SECRET=your_api_secret_here- Run the full pipeline
ukam-os-build --config config.yaml--config is the standard argument for selecting your configuration file.
from ukam_os_builder import create_config_and_env, run_from_config
create_config_and_env(
config_out="config.yaml",
env_out=".env",
source="ngd",
package_id="16331",
version_id="104444",
)
run_from_config(config_path="config.yaml", step="all")Use the reusable inspection function to find high-variant UPRNs in output parquet files:
from ukam_os_builder import inspect_flatfile_variants
result = inspect_flatfile_variants(config_path="config.yaml", top_offset=0, show=True)
print(result["selected_uprn"], result["variant_count"])You can also import directly from the inspection module:
from ukam_os_builder.os_builder.inspect_results import inspect_flatfile_variants
result = inspect_flatfile_variants(config_path="config.yaml", top_offset=0, show=True)Configure manually
If you prefer not to use the setup wizard, edit config.yaml directly.
Set source.type, os_downloads.package_id, and os_downloads.version_id.
Most users only need one path setting:
paths.work_dir(default./data, relative to the config file directory)
The tool derives all other directories automatically under work_dir.
| Command | Purpose | Key options |
|---|---|---|
ukam-os-setup |
Create or update pipeline config interactively | --config-out, --env-out, --overwrite-env, --non-interactive, --source, --package-id, --version-id |
ukam-os-build |
Run pipeline stages (download, extract, split, flatfile, all) |
--config, --source, --env-file, --step, --overwrite, --list-only, --package-id, --version-id, --work-dir, --downloads-dir, --extracted-dir, --output-dir, --num-chunks, --duckdb-memory-limit, --parquet-compression, --parquet-compression-level, --verbose |
steponly supportsdownloadandallto simplify usage. Use--overwriteto re-run a step with the same parameters.- CLI overrides take precedence over values in
config.yaml. - By default,
ukam-os-buildloads.envfrom the same directory as your config, unless--env-fileis supplied.
ukam-os-setup --config-out config.yaml
ukam-os-build --config config.yamlukam-os-setup --source abp --config-out config.yaml --non-interactive --package-id <package_id> --version-id <version_id>
ukam-os-build --config config.yamldownload- fetch package metadata and zip files from OS Data Hub.extract- extract CSVs from downloaded zip files and convert to parquet.split- ABP only: split raw records and write only parquet staging files used by flatfile generation (street_descriptor,blpu,lpi,delivery_point,organisation,classification).flatfile- transform and deduplicate into final output parquet file(s).
All stages are idempotent. Use --overwrite to regenerate outputs (--force is accepted as a backward-compatible alias).
Final outputs are parquet files in paths.output_dir:
- Single chunk:
ngd_for_uk_address_matcher.chunk_001_of_001.parquet - Multi-chunk:
ngd_for_uk_address_matcher.chunk_001_of_00N.parquet,...chunk_00N_of_00N.parquet
Chunking reduces memory use by processing UPRNs in batches. The union of all chunk files equals the single-chunk output. Use a higher num_chunks (for example 10) for laptops with limited RAM.
NGD output schema
Final outputs are parquet files in paths.output_dir:
- Single chunk:
ngd_for_uk_address_matcher.chunk_001_of_001.parquet - Multi-chunk:
ngd_for_uk_address_matcher.chunk_001_of_00N.parquet,...chunk_00N_of_00N.parquet
Chunking reduces memory use by processing UPRNs in batches. The union of all chunk files equals the single-chunk output. Use a higher num_chunks (for example 10) for laptops with limited RAM.
Each file contains:
| Column | Type | Description |
|---|---|---|
uprn |
BIGINT | Unique Property Reference Number |
address_concat |
VARCHAR | Address string without postcode |
postcode |
VARCHAR | UK postcode |
filename |
VARCHAR | Source file name (for example add_gb_builtaddress.parquet) |
classificationcode |
VARCHAR | Property classification code (for example RD06 for residential) |
parentuprn |
BIGINT | Parent UPRN for hierarchical addresses |
lowertierlocalauthoritygsscode |
VARCHAR | Lower-tier local authority GSS code |
floorlevel |
VARCHAR | Floor level identifier |
Metadata used in output (classificationcode, parentuprn, lowertierlocalauthoritygsscode, floorlevel) is enriched via UPRN lookup from core address files. This means Royal Mail addresses and alternate address records receive metadata from their corresponding Built, Historic, or Pre-Build records. lowertierlocalauthoritygsscode is always sourced from Built Address via UPRN lookup.
AddressBase Premium output schema
The final output is written to paths.output_dir as one or more parquet files:
- Single chunk mode (
num_chunks: 1):abp_for_uk_address_matcher.chunk_001_of_001.parquet - Multi-chunk mode (
num_chunks: N):abp_for_uk_address_matcher.chunk_001_of_00N.parquet,chunk_002_of_00N.parquet, and so on
Chunking reduces memory usage by processing UPRNs in batches. The union of all chunk files equals the single-chunk output. Use a higher num_chunks (for example 10) for laptops with limited RAM.
Each file contains:
| Column | Description |
|---|---|
uprn |
Unique Property Reference Number |
postcode |
Postcode |
address_concat |
Concatenated address string (without postcode) |
classification_code |
Property classification |
logical_status |
Address status (1 = Approved, 3 = Alternative, and so on) |
blpu_state |
Building state |
postal_address_code |
Postal address indicator |
udprn |
Royal Mail delivery point reference |
parent_uprn |
Parent UPRN for hierarchical addresses |
hierarchy_level |
C = Child, P = Parent, S = Singleton |
source |
Data source (LPI, ORGANISATION, DELIVERY_POINT, CUSTOM_LEVEL) |
variant_label |
Address variant type |
is_primary |
Whether this is the primary address for the UPRN |
The pipeline processes these NGD address feature types:
- Built Address (
add_gb_builtaddress) - Current physical addresses - Pre-Build Address (
add_gb_prebuildaddress) - Planned or future addresses - Historic Address (
add_gb_historicaddress) - Historical addresses - Non-Addressable Object (
add_gb_nonaddressableobject) - Excluded from output - Royal Mail Address (
add_gb_royalmailaddress) - PAF delivery points - Alternate addresses (
*_altadd) - Alternative address variants
Welsh language variants are extracted where available and appear as separate rows in the output.
When the same UPRN and address combination appears in multiple sources, records are deduplicated using these internal priority rules:
Feature type priority:
- Built Address (highest)
- Pre-Build Address
- Royal Mail Address
- Historic Address
- Non-Addressable Object (excluded)
Address status priority:
- Approved (highest)
- Provisional
- Alternative
- Historical
Build status priority:
- Built Complete (highest)
- Under Construction
- Prebuild
- Historic
- Demolished
To use the OS Downloads API:
- Set up an API key
- Add your key to
.env:OS_PROJECT_API_KEY=your_key_here - Find your datapackage ID and version ID from the OS Data Hub
- Update
config.yamlwith the package and version IDs
Base URL: https://api.os.uk/downloads/v1
Authentication: Header - key: OS_PROJECT_API_KEY
1. List versions for a datapackage:
GET /dataPackages/{package_id}/versions
Pick the version ID from the response (field: id)
2. List files available for download:
GET /dataPackages/{package_id}/versions/{version_id}
Read downloads[] for fileName, size, md5, url
3. Download data:
Use the url from downloads[] with ?key=YOUR_API_KEY appended
source:
type: ngd # or abp
paths:
work_dir: ./data
os_downloads:
package_id: "<your_package_id>"
version_id: "<your_version_id>"
connect_timeout_seconds: 30
read_timeout_seconds: 300
processing:
parquet_compression: zstd
parquet_compression_level: 9
num_chunks: 20
# duckdb_memory_limit: "8GB"By default, the tool creates these directories under paths.work_dir:
- downloads:
<work_dir>/downloads - extracted:
<work_dir>/extracted - parquet:
<work_dir>/parquet - output:
<work_dir>/output
Advanced: override default directories
Most users won’t need this.
If you need to customize locations, use paths.overrides:
paths:
work_dir: ./data
overrides:
downloads_dir: ./somewhere/downloads
extracted_dir: /mnt/fast/extracted
parquet_dir: ./data/parquet
output_dir: ./outputOverride keys replace derived defaults. Relative paths are resolved relative to the directory containing config.yaml.
pytest tests/test_smoke.py- uk_address_matcher
- prepare_addressbase_for_address_matching
- OS Data Hub - package/version management and downloads