Pulumi Analyzer Serve: Master GRPC Integration Tests

by Alex Johnson 53 views

Hey there, Pulumi enthusiasts! Today, we're diving deep into the heart of the Pulumi Analyzer, specifically focusing on its serve command. This command is your key to unlocking zero-click cost estimation right when you run pulumi preview. It’s all about implementing the Pulumi Analyzer gRPC protocol, and while we’ve got some fantastic unit tests in internal/analyzer/ to cover the nitty-gritty, there's a crucial piece missing: CLI-level integration tests. These tests are vital for ensuring the entire command lifecycle works flawlessly and that our implementation strictly adheres to the gRPC protocol. Without them, we're flying a bit blind when it comes to real-world command execution and inter-component communication. We want to make sure that when you spin up the analyzer server, it behaves exactly as expected, responds correctly to commands, and shuts down cleanly. This article outlines what needs to be done to achieve robust CLI-level integration testing for the analyzer serve command, covering everything from basic server startup to complex protocol interactions and error recovery.

Current State: Building the Foundation

Let's take a moment to appreciate what we've already built. The Pulumi Analyzer server is fully implemented and ready to go, living in internal/analyzer/server.go. This is the core engine that does the heavy lifting. Alongside it, we have the resource mapping logic in internal/analyzer/mapper.go, which is essential for translating Pulumi resources into something the analyzer can understand and process. The diagnostics generation component, found in internal/analyzer/diagnostics.go, is also fully implemented, meaning it can create the informative messages about costs and potential issues. And, of course, the CLI command itself, analyzer serve, is implemented in internal/cli/analyzer_serve.go, providing the user-facing interface to start the server. On the testing front, we've achieved an impressive 92.7% coverage for our unit tests within the analyzer package, which is a testament to the thoroughness of our internal checks. We also have integration tests for the analyzer protocol already in place in test/integration/analyzer_test.go. However, the gap we need to fill is in CLI-level integration tests and end-to-end Pulumi integration tests. These are the final frontiers that will give us complete confidence in the analyzer serve command's reliability and performance in a production-like environment. Think of it as building a robust bridge – we have strong foundations and sturdy pillars, but we need to ensure the deck is perfectly laid and can handle all traffic.

Acceptance Criteria: Defining Success

To ensure we're on the right track and that our integration tests are truly comprehensive, we've defined a clear set of acceptance criteria. These criteria act as our checklist, ensuring every critical aspect of the analyzer serve command is rigorously tested. First up are the Server Startup Tests. We need to verify that the server starts normally, prints the correct port number to standard output, and that this output is only the port number – no extra chatter. Equally important is testing graceful shutdowns via SIGINT and SIGTERM signals, ensuring the server exits cleanly without errors. We also need to confirm that the --debug flag works as expected, directing debug output to stderr while still printing the port to stdout.

Moving on, we have the gRPC Protocol Compliance Tests. This is where we ensure our server speaks the Pulumi Analyzer gRPC protocol fluently. We'll be testing key RPCs like Handshake to establish communication, GetAnalyzerInfo and GetPluginInfo to verify identification and versioning, ConfigureStack to ensure stack context is correctly handled, and AnalyzeStack to confirm that resource analysis is performed. The Cancel RPC will also be tested for proper cancellation handling.

Next, we focus on Resource Analysis Tests. This involves simulating the analysis of different resource types, starting with a common one like an AWS EC2 instance, to ensure cost calculations are accurate and diagnostics are generated correctly. We'll also test scenarios with multiple resources to verify stack-level cost summaries, how unsupported resource types are handled (gracefully, with warnings!), and how the analyzer behaves when resource properties are missing or malformed.

Following that are the Diagnostic Output Tests. Here, we'll confirm that all diagnostics are correctly marked as ADVISORY (meaning they never block deployments), that the Unique Resource Name (URN) in a diagnostic matches the analyzed resource, and that cost information is presented in the expected $X.XX/month format.

Error Recovery Tests are critical for robustness. We need to ensure the analyzer can gracefully degrade when plugins fail, that it doesn't crash when given an empty resource list, and that it handles malformed resource properties without issue. We'll also verify clean shutdowns when the context for analysis is cancelled.

Finally, Logging and Output Tests will confirm that all logging output is directed to stderr, that debug logs include trace IDs when enabled, and that stdout is strictly reserved for the port number, preventing any pollution that could break automation. These criteria collectively form a comprehensive plan to guarantee the reliability and correctness of the analyzer serve command.

Implementation Details: Charting the Course

To bring our comprehensive testing strategy to life, we'll need to create a new integration test file, tentatively named test/integration/analyzer/analyzer_cli_test.go. This file will house all the new tests, meticulously organized to cover each aspect of the analyzer serve command's functionality. Within this file, we'll implement specific test functions for each acceptance criterion. For instance, we’ll have tests like TestAnalyzerServe_Startup, TestAnalyzerServe_GracefulShutdownSIGINT, TestAnalyzer_gRPC_Handshake, TestAnalyzer_AnalyzeEC2, and TestAnalyzer_StderrLogging, among others. Each test will be designed to isolate and verify a particular behavior or interaction.

To streamline the testing process and avoid repetitive code, we’ll introduce a set of test helper functions. The startAnalyzerServer function will be crucial; it will execute the pulumicost analyzer serve command, capture its standard output and standard error, and return the allocated port number. It will also set up a cleanup mechanism to ensure the server process is terminated gracefully using SIGTERM when the test finishes. Complementing this, the connectToAnalyzer function will establish a gRPC client connection to the running analyzer server on the provided port, returning a pulumirpc.AnalyzerClient instance. This client will be used to interact with the server and invoke its gRPC methods. We'll also need utility functions to simulate analyzing resources and to parse diagnostic output.

Remember, the gRPC Protocol Requirements are paramount. Our server must correctly implement the AnalyzerServer interface, which includes methods like Handshake, Analyze, AnalyzeStack, GetAnalyzerInfo, GetPluginInfo, Configure, ConfigureStack, and Cancel. Our tests will directly probe these interfaces to ensure they function as specified by the Pulumi Analyzer protocol.

For this endeavor, we'll rely on a few key dependencies: a built pulumicost binary (achieved via make build), standard gRPC client libraries, the Pulumi RPC protobuf definitions, and basic process management utilities available in Go. By carefully crafting these tests and helper functions, we aim to build a robust suite that guarantees the stability and correctness of the analyzer serve command.

Definition of Done: The Finish Line

To ensure we’ve truly conquered the task of integrating and testing the Pulumi Analyzer’s serve command, we've established a clear Definition of Done. This isn't just a checklist; it's our commitment to delivering a high-quality, production-ready feature. First and foremost, the server startup and shutdown must be thoroughly tested, ensuring the command launches correctly and exits gracefully under various conditions. Following that, all gRPC RPCs defined by the Pulumi Analyzer protocol must be tested, verifying every interaction between the client and server. We'll also meticulously test resource analysis for multiple resource types, confirming that the cost estimations are accurate and that the process handles diverse inputs effectively.

Furthermore, the diagnostic generation process needs to be validated, ensuring that all expected diagnostics are produced with the correct severity levels and formatting. Error recovery is another critical pillar; we must be confident that the analyzer can handle unexpected situations, plugin failures, or malformed inputs without crashing and provides appropriate feedback. Crucially, the logging behavior must be verified, confirming that all operational and debug logs are directed to stderr and that stdout remains clean, reserved solely for the essential port number output.

Finally, to confirm our integration into the broader Pulumi ecosystem, all these tests must pass successfully with make test. This ensures they integrate seamlessly with our existing test suite. And, to maintain code quality, we must ensure there are no new linting errors introduced, as checked by make lint. Only when all these conditions are met can we confidently say that the integration testing for the analyzer serve command is complete and that the feature is truly done.

References

For those looking to dive deeper into the implementation and protocol, here are some valuable resources:

  • The gRPC server implementation can be found at internal/analyzer/server.go.
  • The CLI command logic is located in internal/cli/analyzer_serve.go.
  • Existing integration tests, which provide a starting point, are in test/integration/analyzer_test.go.
  • For a comprehensive understanding of the Pulumi Analyzer protocol itself, please refer to the official Pulumi documentation on gRPC protocols. This provides the foundational details for all interactions.