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stactools-met-office-deterministic

library0.4.2pypypi✓ verified 22d ago

stactools-met-office-deterministic is a Python package designed for generating SpatioTemporal Asset Catalog (STAC) metadata specifically for data originating from the Met Office Deterministic Numerical Weather Prediction model. It is part of the broader stactools ecosystem, which provides utilities for working with STAC. The current version is 0.4.2, and it typically sees rapid releases within the stactools-packages organization.

data aws

pip install stactools-met-office-deterministic

package ↗

INSTALL

IMPORT

SIG · STACTOOLS-MET-OFFI

stactools-met-office-deterministic

datapythonv0.4.2

Install

5.0s avg

Import

395ms

Disk

105MB

Pass rate

6/ 10

Env Coverage6 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.4.2 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

glibc

py 3.10

✕ build_error

py 3.11

✓ —

✓ 5.3s

py 3.12

✓ —

✓ 4.8s

py 3.13

✓ —

✓ 5s

py 3.9

✕ build_error

105MB installed

● package 105MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

stac

✓ from stactools.met_office_deterministic import stac

The primary module for generating STAC objects.

This quickstart demonstrates how to use `stactools-met-office-deterministic` to create a STAC Item from a Met Office Deterministic Numerical Weather Prediction model data file. It assumes the existence of a `stac.create_item` function, which is a common pattern across `stactools` dataset packages. Users should replace `/path/to/your/met_office_deterministic_data.nc` with the actual path to their NetCDF data file.

import pystac from stactools.met_office_deterministic import stac # Placeholder for your Met Office Deterministic NWP data file path # Replace with an actual path to a NetCDF file from the Met Office UKV 2km deterministic forecast. input_data_path = "/path/to/your/met_office_deterministic_data.nc" # Assuming a 'create_item' function exists to generate a STAC Item from a data file # The exact parameters may vary; this is a common pattern in stactools packages. try: item = stac.create_item(input_data_path) print(f"Successfully created STAC Item: {item.id}") print(f"Item datetime: {item.datetime}") # Optionally, save the item to a file # item.save_object(dest_href='/tmp/met_office_item.json') except AttributeError: print("Error: 'stac.create_item' or similar function not found or failed. " "Please refer to the actual library source or a more detailed example if available.") except FileNotFoundError: print(f"Error: Input data file not found at {input_data_path}. Please provide a valid path.") except Exception as e: print(f"An unexpected error occurred: {e}")

stac --version

Debug

Known issues

gotchaSpecific API documentation, detailed usage examples, and explicit breaking change logs for `stactools-met-office-deterministic` are not readily available in public search results (GitHub README or official docs). Users should consult the source code for precise API usage or refer to general `stactools` patterns.

fix

Review the source code on GitHub (stactools-packages/met-office-deterministic) for function signatures and expected inputs, or refer to other stactools dataset package examples for analogous patterns.

affects: All versions

gotchaThe library relies on raw Met Office NWP data, typically NetCDF files. Incorrect file paths, unsupported data formats, or deviations from the expected Met Office data structure will lead to failures during STAC item generation.

fix

Ensure the `input_data_path` points to a valid and compatible Met Office Deterministic NWP NetCDF file. Verify the internal structure and metadata of your input files if errors persist.

affects: All versions

Upgrade

Version history

0.4.2latest on PyPI · released Jan 28, 2026

Audit

Dependencies

pystacrequiredCore STAC object model and utilities.

shapelyrequiredGeospatial operations, likely for bounding box and geometry handling.

Agent activity

21 hits · last 30 days

node

Amazon

OpenAI (training)

Resources

packagehttps://pypi.org/project/stactools-met-office-deterministic/ ↗