v0.10.0

Added renege functionality to the JSON schema and ciw converter engine.

Changed

• ProcessModel.to_mermaid() refactored. Refactored distribution formatting to function. Added Renege as hexagon with dashed arrow.
• ProcessModel.get_distributions_df() now handles renege distributions
• engine.CiwConverter now handles renege distributions as part of generate_params
• ui modified to handle renege distributions.
• example_app.py new models demonstrating renege have been added.

Added

• schema.Activity now has a optional renege_distribution field.
• Two new examples in datasets: load_mm1_renege_model and load_renege_call_model
• 04_call_centre_renege.ipynb example notebook added.

v0.9.0

Changed

• Mermaid diagram now has include_resources parameter to toggle circles off in complex diagrams.

Added

• ProcessModel.get_resources_df() returns a pandas.DataFrame containing a list of resources, their activities and counts.

v0.8.1

Fixed

• Mermaid diagram code updated to recognise and display normal distributions.

v0.8.0

Added

• six_node_ucc.json - a simple version of the 6 node treat-sim urgent care treatment centre example with stationary arrivals.
• example_app.py: added the example treatment centre model.
• 03_urgent_care_treatment_centre_example.ipynb - example of converting treat-sim json2ciw

Changed

• engine.CiwConverter._normal_moments_from_lognormal updated to static method.

Removed

• 03_three_node_network_example.ipynb notebook not needed and removed.

Fixed

• ui patched so that mean and sd of lognormal is converted to underlying normal before passing to updated_params

v0.7.0

0.7.0

Added

• three_node_network.json: example that modifies the basic jackson network and uses lognormal and normal service distributions in v0.7.0
• example_app.py: added three node example

Changed

• schema.Distribution now supports "normal" with sample mean and std (ciw auto truncates normal at 0)
• engine.CiwConverter updated to handle ciw normal distribution. Handles standard deviation parameter when expressed as "std", "sd" or "var" using _extract_std() method.

Fixed

• engine.CiwConverter updated handling log normal. Fixed incorrect parameter "standard_deviation". Should have been "sd".
• jackson_network.json: updated activity "type" parameter to "activity".

v0.6.0

Changed

• schema.Distribution now supports "lognormal" with sample mean and std along with "gamma" (shape, scale)
• engine.CiwConverter updated to handle ciw lognormal and gamma distributions. Lognormal parameters converted to mu and sigma of underlying normal.

Fixed

• Included missing distribution type in json2ciw app sidebar.
• Service distribution now displays mean parameter for the exponential distribution.

v0.5.0

Added

• datasets.load_jackson_network_model() to load a open jackson network model in JSON format to convert into a ProcessModel
• ProcessModel has new methods get_distributions_df and get_routing_matrix_df to help with face validation of model.

Changed

• app.py updated the app to switch dynamically between models.

v0.4.0

Added

• json2ciw.ui and render_simulation_app function to automatically create a basic streamlit dashboard interface for a json schema and ciw model.
• tidy_to_wide_format function added to results module. This provides quick conversion of the tidy format replications data from multiple_replications to wide format.

Changed

• Added streamlit as package dependency.
• Added plotly as package dependency.

v0.3.0

json2ciw is sotfware to convert a pydantic specified JSON schema to a functioning ciw discrete-event simulation model.

Changed

• engine.CiwConverter can now handle "Exponential" being passed with mean or rate parameters. If mean is passed them rate is calculated as 1/mean.
• schemaa.ProcessModel.to_mermaid() updated to handle mean and rate.
• engine.multiple_replications now runs using parallel replications for ciw (implemented using joblib).
• pyproject.toml and environment.ymlupdated to include joblib dependency.

Fixed

• pyproject.toml updated to include missing pydantic dependency.
• environment.ymlupdated to include missing rich dependency.
• call_centre.json inter-arrival distribution fixed to use mean as parameter rather than rate.

v0.2.0

v0.2.0

Added

• Function to run replications and obtain automatic results from all queues and activites in the ciw model
• schema: module containing the pydantic classes describing a valid json ProcessModel
• Convert a valid ProcessModel to a mermaid diagram.