Skip to main content

Python library for using and testing SimStadt workflows.

Project description

simstadt

A Python library for running and testing SimStadt workflows programmatically.

SimStadt is a city simulation tool for energy and urban analysis developed at HFT Stuttgart. This library wraps its CLI to execute workflows against CityGML files and parse the results into pandas DataFrames.

Requirements

  • Python 3.10+
  • SimStadt installed separately

Installation

pip install simstadt

Usage

from simstadt import heatdemand_simulation, photovoltaic_simulation, clean_old_workflows

results = heatdemand_simulation("path/to/city.gml", "Wuerzburg-hour.csv")
print(results.dataframe)
print(results.kpis)

pv = photovoltaic_simulation("path/to/city.gml", "Wuerzburg-hour.csv")
print(pv.dataframe)

# Remove workflow folders older than 1 hour from a project directory
clean_old_workflows(Path("path/to/project.proj"))

For more control, use run_workflow_with_citygml directly:

from simstadt import run_workflow_with_citygml

results = run_workflow_with_citygml(
    template="104_HeatDemandWithShadow",   # name in templates/ or full Path
    citygml_path="path/to/city.gml",
    replaces={"<string>METEONORM_FILE</string>": "<string>Wuerzburg-hour.csv</string>"},
    project_path=Path("path/to/project.proj"),  # optional
)
print(results.kpis)

SimStadt is located automatically via the SIMSTADT_FOLDER environment variable, or by searching ~/Desktop for a SimStadt2_0.*/ directory.

Bundled workflow templates are used by default. Custom templates are resolved via SIMSTADT_TEMPLATE_PATH, or a templates/ directory in the current working directory.

If no project path is specified, workflows are run in a temporary repository under /tmp/simstadt_repo/.

Health check

simstadt

Prints the detected SimStadt installation path and version.

Development

uv sync
uv run pytest               # all tests
uv run pytest -m "not integration"  # skip tests requiring SimStadt

AI agent

SimStadtResults and tests have been written manually during research projects.

Claude Code has been used to refactor and package the scripts into this library.

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

simstadt-0.1.2.tar.gz (21.8 kB view details)

Uploaded Source

Built Distribution

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

simstadt-0.1.2-py3-none-any.whl (73.2 kB view details)

Uploaded Python 3

File details

Details for the file simstadt-0.1.2.tar.gz.

File metadata

  • Download URL: simstadt-0.1.2.tar.gz
  • Upload date:
  • Size: 21.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.21 {"installer":{"name":"uv","version":"0.9.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Linux Mint","version":"22.2","id":"zara","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for simstadt-0.1.2.tar.gz
Algorithm Hash digest
SHA256 11411b4b7462bf946de20bd0641a62653376b6bab118e00e9b582faab73fd5d8
MD5 fce557652ef4809c271a4e0ec11cb732
BLAKE2b-256 38d70c03c8ee5309fb2e5d099cc3d0e73bc217302c0d6e4b6ef6fad29a718fe8

See more details on using hashes here.

File details

Details for the file simstadt-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: simstadt-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 73.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.21 {"installer":{"name":"uv","version":"0.9.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Linux Mint","version":"22.2","id":"zara","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for simstadt-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 79df5556b97bd3583963f62e132c0b5d9f20762b27e30d1fcf05a88d62c6a12f
MD5 3d5afb336a5e3f735de9c7e9bd65c0a3
BLAKE2b-256 72148e2cea52cb3bc33cbdd9bbb22cb157d64201337e79333121d71e81fcb7e4

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