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Co-authored-by: Maya Epps <[email protected]>
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Sources/SwiftDocC/SwiftDocC.docc/SwiftDocC/CompilerPipeline.md

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This article describes the discrete and sequential steps of compiling documentation with DocC.
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DocC starts with input discovery by categorizing the documentation sources in your documentation catalog. Next, it loads and parses the those inputs to create in-memory models of the documentation pages. Once the in-memory model is finalized, DocC converts each topic into a persistable render-friendly representation it can store on disk.
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DocC starts with input discovery by categorizing the documentation sources in your documentation catalog. Next, it loads and parses the those inputs to create in-memory models of the documentation pages. Once the in-memory model is finalized, DocC converts each topic into a persistable, render-friendly representation it can store on disk.
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### Discovery
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This phase starts with creating a ``DocumentationContext`` using the discovered inputs from the previous phase.
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This begins loading and registering the inputs with the context.
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The first input that the context register is the symbol information. The symbol information comes from "symbol graph files" which are machine generated and describe all available symbols in a framework (types, functions, variables, etc.) and their relationships (inheritance, conformance, etc.).
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The first input that the context registers is the symbol information. The symbol information comes from "symbol graph files" which are machine generated and describe all available symbols in a framework (types, functions, variables, etc.) and their relationships (inheritance, conformance, etc.).
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Each symbol becomes a documentation node in the topic graph and thus a documentation *topic* (an entity in the documentation model). The symbol's topic could optionally be extended with authored documentation from a markup file.
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