DataFlow View Diagram🔗

The .data_flow_view attribute is accessable the following class types:

OperationalCapability🔗

DataFlow View Diagram of OperationalCapability

import capellambse

model = capellambse.MelodyModel("tests/data/ContextDiagram.aird")
diag = model.by_uuid("3b83b4ba-671a-4de8-9c07-a5c6b1d3c422").data_flow_view
diag.as_svgdiagram.save(pretty=True)

[OAIB] DataFlow View Diagram of Eat food

Capability🔗

DataFlow View Diagram of Capability

import capellambse

model = capellambse.MelodyModel("tests/data/ContextDiagram.aird")
diag = model.by_uuid("9390b7d5-598a-42db-bef8-23677e45ba06").data_flow_view
diag.as_svgdiagram.save(pretty=True)

CapabilityRealization🔗

DataFlow View Diagram of CapabilityRealization

import capellambse

model = capellambse.MelodyModel("tests/data/ContextDiagram.aird")
diag = model.by_uuid("72147e11-70df-499b-a339-b81722271f1a").data_flow_view
diag.as_svgdiagram.save(pretty=True)

The data flow diagram is similar to the generic context diagram but it collects differently. Here collection is done from the outside to the inside, meaning it starts on the involved functions and collects the edges from there if they exist. This results in revealing missing edges and possible modelling errors. The diagram elements are collected from the .involved_activities or .involved_functions attribute.

Check out the code🔗

To understand the collection have a look into the data_flow_view module.