A detailed flowchart illustrating the automated workflow for dependency injection (DI) code generation, from initial analysis to final compilation.
flowchart TD
start@{ shape: circle, label: Start }
setups[fa:fa-search DI setups analysis]
types["`fa:fa-search Types analysis
constructors/methods/properties/fields`"]
subgraph dep[Dependency graph]
option[fa:fa-search Selecting a next dependency set]
creating[fa:fa-cog Creating a dependency graph variant]
verification{fa:fa-check-circle Verification}
end
codeGeneration[fa:fa-code Code generation]
compilation[fa:fa-cog Compilation]
failed@{ shape: dbl-circ, label: Compilation failed }
success@{ shape: dbl-circ, label: Success }
start ==> setups
setups -.->|Has problems| failed
setups ==> types
types -.-> |Has problems| failed
types ==> option
option ==> creating
option -.-> |There are no other options| failed
creating ==> verification
verification -->|Has problems| option
verification ==>|Correct| codeGeneration
codeGeneration ==> compilation
compilation -.-> |Has problems| failed
compilation ==> success
This diagram illustrates the step-by-step process of a dependency injection code generator. It begins with DI setups and types analysis, proceeds to dependency graph creation, including selecting options, creating variants, and verification. The workflow culminates in code generation and compilation, with various failure points indicated.
Use this diagram to explain the internal workings of a code generation tool, particularly for dependency injection frameworks. It's suitable for onboarding new developers, documenting system architecture, or debugging issues in an automated build process.
This workflow can be adapted for any automated code transformation or build process. Replace 'DI setups analysis' and 'Types analysis' with specific initial steps, and modify the 'Dependency graph' subgraph to reflect the core logic of the system being described, such as AST transformation, linting, or packaging.