Skip to main content

A Python package for integrating OpenGMS geographic model services.

Project description

PyGeoModel

PyGeoModel is a Python package for integrating OpenGMS geographic model services into Python-based urban data science workflows. It provides programmatic access to model-service discovery, metadata inspection, service invocation, task records, and result management. For exploratory notebook-based analysis, PyGeoModel also provides an optional Jupyter interface built on the same core API.

Installation

pip install PyGeoModel

Use the package in Python with:

from pygeomodel import GeoModeler

Core API

from pygeomodel import GeoModeler

modeler = GeoModeler()

models = modeler.search_models("photovoltaic")
model = modeler.get_model("Roof Photovoltaic Carbon Emission Reduction Potential Assessment Model")

print(model.description)
print(model.inputs)
print(model.outputs)

Model services can be invoked programmatically:

result = modeler.invoke(
    "Roof Photovoltaic Carbon Emission Reduction Potential Assessment Model",
    params={
        "system_efficiency": 0.8,
        "start_time": 201801,
        "end_time": 201812,
        "roof_vector_path": "data/rooftops.zip",
    },
)

result.to_json("execution_record.json")

Notebook Interface

modeler.show_models()
modeler.invoke_model("SWAT_Model")

The notebook interface renders model search, metadata inspection, parameter entry, task execution, and output display. It uses the same search_models(), get_model(), and invoke() functions as the programmatic API so GUI operations can be converted into Python dictionaries and execution records.

Recommendation and Q&A Records

recommendation = modeler.suggest_model(return_result=True)
recommendation.to_json("recommendation_record.json")

answer = modeler.ask_model("SWAT_Model", "What input data are required?")
answer.to_json("qa_record.json")

The recommendation service automatically builds notebook/data context and calls the configured recommendation workflow. Q&A uses OpenGMS model metadata and an OpenAI-compatible web-enabled model. The main notebook workflow is designed to run out of the box for demonstration use.

Relation to OpenGMS

OpenGMS provides the model-service platform and online execution infrastructure. PyGeoModel is a Python client package that exposes OpenGMS model-service discovery, metadata inspection, task invocation, and result records to Python and notebook workflows.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygeomodel-1.0.10.tar.gz (3.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pygeomodel-1.0.10-py3-none-any.whl (4.1 MB view details)

Uploaded Python 3

File details

Details for the file pygeomodel-1.0.10.tar.gz.

File metadata

  • Download URL: pygeomodel-1.0.10.tar.gz
  • Upload date:
  • Size: 3.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for pygeomodel-1.0.10.tar.gz
Algorithm Hash digest
SHA256 d9cb07a3c57d9cbb2789819b7b3247ddd5347b04bb961232dcc23cccfda26d2f
MD5 8bb0efcb6fd5722ce622c04bb593ec38
BLAKE2b-256 58ade208edbb11117153b5ac6b798c6baf04a2c468e93cb4679f57f2a1f6c2b8

See more details on using hashes here.

File details

Details for the file pygeomodel-1.0.10-py3-none-any.whl.

File metadata

  • Download URL: pygeomodel-1.0.10-py3-none-any.whl
  • Upload date:
  • Size: 4.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for pygeomodel-1.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 6be815f78c064fed7938be5ea0ca2e34a79299395f8ee247506ceef2ecf97c69
MD5 ef4dada03fbb36fa2507a4f1919ed72f
BLAKE2b-256 605fac8d3b1f752ff5713e8a5694fa2bba410dd2e1f0f50a1975f9c46af3194b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page