================== Summary Extraction ================== .. WARNING:: The framework is rapidly evolving. The documentation might be out-of-sync of the implementation. The purpose of this documentation to give context for upcoming reviews. The simplest way to think about the lifetime of a summary extraction is by following the handlers of the ``FrontendAction`` implementing it. There are 3 APIs that are important for us, that are invoked in this order: - ``BeginInvocation()``: Checks the command-line arguments related to summary extraction. - ``CreateASTConsumer()``: Creates the ASTConsumers for the different summary extractors. - ``EndSourceFile()``: Serializes and writes the extracted summaries. Implementation details ********************** Global Registries ================= The framework uses `llvm::Registry\<\> `_ as an extension point for adding new summary analyses or serialization formats. Each entry in the *registry* holds a name, a description and a pointer to a constructor. **Pros**: - Decentralizes the registration. There is not a single place in the source code where we spell out all of the analyses/formats. - Plays nicely with downstream extensibility, as downstream users can add their own analyses/formats without touching the source code of the framework; while still benefiting from the upstream-provided analyses/formats. - Works with static and dynamic linking. In other words, plugins as shared objects compose naturally. **Cons**: - Registration slows down all ``clang`` users by a tiny amount, even if they don't invoke the summary extraction framework. - As the registration is now decoupled, it's now a global program property; and potentially more difficult to reason about. - Complicates testing. Example for adding a custom summary extraction ---------------------------------------------- .. code-block:: c++ //--- MyAnalysis.cpp class MyAnalysis : public TUSummaryExtractor { using TUSummaryExtractor::TUSummaryExtractor; // Implementation... }; static TUSummaryExtractorRegistry::Add RegisterExtractor("MyAwesomeAnalysis", "The analysis produces some awesome results"); Details of ``BeginInvocation()`` ================================ #. Processes the different fields populated from the command line. Ensure that mandatory flags are set, etc. #. For each requested analysis, check if we have a matching ``TUSummaryExtractorInfo`` in the static registry, and diagnose if not. #. Parse the format name, and check if we have a matching ``FormatInfo`` in the format registry. #. Lastly, forward the ``BeginInvocation`` call to the wrapped FrontendAction. Details of ``CreateASTConsumer()`` ================================== #. Create the wrapped ``FrontendAction`` consumers by calling ``CreateASTConsumer()`` on it. #. Call ``ssaf::makeTUSummaryExtractor()`` on each requested analysis name. #. Look up in the *summary registry* the relevant *Info* object and call the ``Factory`` function pointer to create the relevant ``ASTConsumer``. #. Remember, we pass a mutable ``TUSummaryBuilder`` reference to the constructor, so the analysis can create ``EntityID`` objects and map them to ``TUSummaryData`` objects in their implementation. Their custom metadata needs to inherit from ``TUSummaryData`` to achieve this. #. Lastly, add all of these ``ASTConsumers`` to the ``MultiplexConsumer`` and return that. Details of ``EndSourceFile()`` ============================== #. Call the virtual ``writeTUSummary()`` on the serialization format, leading to the desired format handler (such as JSON or binary or something custom - provided by a plugin). #. Create the directory structure for the enabled analyses. #. Serialize ``entities``, ``entity_linkage``, etc. Achieve by calling the matching virtual functions, dispatching to the concrete implementation. #. The same goes for each enabled analysis, serialize the ``EntityID`` to ``TUSummaryData`` mapping using the analysis-provided ``Serialize`` function pointer.