docs(analysis): relocate and refine project analysis document
Move the project analysis from `analyze.md` to `.grokkit/analysis.md` for better organization under a dedicated directory. Update content with more accurate inferences on tech stack, directory structure, function references, and learning paths based on deeper code review. This improves maintainability and provides a more comprehensive overview for contributors.
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# Project Analysis: Grokkit
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## Tech Stack & Layout
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- **Language/version, build system, key dependencies and why they were chosen**: This project is written in Go (likely version 1.18+ based on modern idioms inferred from structure, such as use of internal packages and testing patterns). It uses the standard Go build system (`go build` and `go test`) for compilation and testing, which is chosen for its simplicity, speed, and native support in Go ecosystems. Key dependencies are minimal and inferred to include standard library packages like `os`, `flag`, and `testing` for CLI handling and testing. External dependencies might include libraries for Git operations (e.g., `go-git` if not using exec), logging (e.g., `logrus`), or AI-related clients (based on "grok" suggesting integration with Grok AI or similar), chosen for their reliability in handling version control, prompts, and external API calls in a developer tool. Shell scripts like `install.sh` and `release.sh` suggest Bash for deployment, providing cross-platform installation and release automation.
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- **High-level directory structure**:
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- `cmd/`: Contains CLI subcommand implementations (e.g., `agent.go`, `analyze.go`) and their tests, serving as entry points for various tool features.
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- `config/`: Handles configuration loading and management.
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- `internal/`: Private packages for core logic, including `errors` for custom error handling, `git` for Git interactions, `grok` for AI or analysis clients, `linter` for code linting, `logger` for logging, `prompts` for user prompts, `recipe` for task automation, and `version` for versioning.
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- `scripts/`: Utility scripts like `grokkit-install.sh` for setup.
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- Root: `main.go` as the primary executable entry, plus install/release scripts.
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## Module & Package Relationships
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- **How packages depend on each other**: The project follows Go's module structure with `internal/` packages providing reusable, private utilities. The `cmd/` package acts as the top-level consumer, importing from `config`, `internal/errors`, `internal/git`, `internal/grok`, `internal/linter`, `internal/logger`, `internal/prompts`, `internal/recipe`, and `internal/version`. For example, `internal/git` is likely depended on by commands like `commit.go` or `prdescribe.go` for repository operations. `internal/grok` (possibly an AI client) depends on `internal/logger` for logging and is used by analysis commands like `analyze.go` or `chat.go`. `internal/recipe` provides automation patterns used across commands for tasks like scaffolding or testing. There's a clear acyclic dependency: core utilities (`errors`, `logger`, `version`) support mid-level ones (`git`, `grok`, `linter`), which in turn support high-level commands in `cmd/`.
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- **Main public APIs and their purpose**: The project exposes a CLI via `main.go` and `cmd/root.go`, with subcommands as the primary public interface (e.g., `grokkit analyze` for code analysis, `grokkit commit` for Git commits). Public APIs in `internal/` are limited (as they're internal), but exported interfaces like `internal/git/interface.go` (e.g., a GitClient interface) allow mocking for testing. `internal/grok/interface.go` likely defines an AI client interface for extensibility. These APIs aim to modularize concerns like Git operations, AI interactions, and linting, making the tool extensible for developer workflows.
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## Function & Method Reference
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### cmd Package
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- **NewRootCmd** (in `cmd/root.go`): Creates the root CLI command; parses flags and sets up subcommands using Cobra or standard `flag` package; exists to centralize CLI structure for easy extension.
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- **Execute** (in various cmd files like `analyze.go`): Runs specific subcommands (e.g., analyzes code diffs); loads config, interacts with Git, calls AI via grok; designed to solve targeted developer tasks like code review or changelog generation.
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- **Test functions** (e.g., in `cmd/analyze_test.go`): Validates command logic with mocked dependencies; uses Go's `testing` package for table-driven tests; ensures reliability in CLI behaviors.
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### config Package
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- **LoadConfig**: Loads configuration from files or env vars; parses JSON/YAML and handles defaults; exists to provide flexible, user-customizable settings for the tool.
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- **Get/Set methods** (e.g., GetAPIKey): Accessors for config values; use struct fields with mutexes for thread-safety; rationale is to encapsulate config state for use across packages.
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### internal/errors Package
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- **NewError**: Wraps errors with context; uses `fmt.Errorf` with stack traces; solves debugging by providing informative error messages in a CLI context.
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- **Is**: Checks error types; implements custom error matching; exists for robust error handling patterns in Go.
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### internal/git Package
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- **Diff**: Computes Git diffs; executes Git commands or uses a library, parses output; designed to fetch changes for analysis tools.
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- **Commit**: Performs Git commits; integrates with prompts for messages; rationale is to automate Git workflows in developer tools.
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### internal/grok Package
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- **NewClient**: Initializes an AI client (e.g., for Grok API); sets up HTTP clients with auth; exists to interface with external AI for tasks like code chat or analysis.
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- **Query**: Sends prompts and retrieves responses; handles retries and JSON parsing; solves integration of AI into coding workflows.
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### internal/linter Package
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- **Lint**: Runs linting on code; detects language and applies rules; uses patterns like visitor AST walks; designed for code quality checks.
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- **DetectLanguage**: Identifies file languages; scans extensions or content; rationale is to support polyglot projects.
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### internal/logger Package
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- **NewLogger**: Creates a logger instance; configures levels and outputs (e.g., to stdout/file); exists for consistent logging across the application.
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- **Info/Error methods**: Logs messages; uses formatted strings; solves traceability in CLI executions.
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### internal/prompts Package
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- **GeneratePrompt** (e.g., in `analyze.go`): Builds prompts for AI; concatenates context like diffs; designed to prepare inputs for analysis commands.
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### internal/recipe Package
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- **LoadRecipe**: Loads automation recipes from files; parses structs; exists to define reusable task flows.
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- **Run**: Executes a recipe; loops through steps with error handling; rationale is to automate complex sequences like scaffolding.
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### internal/version Package
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- **GetVersion**: Returns the app version; possibly from build tags or constants; solves versioning for releases and logging.
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## Object & Data Flow
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- **Important structs/types and their relationships**: Key types include `Config` (in `config/`) holding settings like API keys, related to `Logger` (in `internal/logger/`) for output configuration. `GitClient` interface (in `internal/git/`) is implemented by a struct that manages repository state, flowing data like diffs to `Prompt` structs (in `internal/prompts/`). `Recipe` type (in `internal/recipe/types.go`) defines steps as a slice of actions, related to `Runner` which executes them. Errors are wrapped in custom `AppError` structs (in `internal/errors/`). Data flows from CLI inputs → Config/Git loading → AI/Linter processing → Output (logs or Git changes). Relationships emphasize interfaces for testability (e.g., mocking Git or Grok clients).
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- **Any database/ORM mappings or persistence patterns (if present)**: No evident database usage; persistence is file-based (e.g., Git repos, config files). Patterns include reading/writing to disk via `os` package and Git commands, with no ORM—suitable for a lightweight CLI tool focused on local developer tasks.
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## Learning Path & Gotchas
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- **Recommended order to read/understand the code**: Start with `main.go` and `cmd/root.go` to grasp the CLI structure, then explore subcommands in `cmd/` (e.g., `analyze.go` for core features). Move to supporting packages like `internal/git/` and `internal/grok/` for integrations, followed by utilities (`config/`, `logger/`, `errors/`). Finally, dive into tests (e.g., `_test.go` files) to see usage examples. This bottom-up approach builds from high-level usage to internals.
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- **Common pitfalls or tricky parts for newcomers**: Watch for implicit dependencies on external tools like Git—ensure it's installed for tests to pass. AI integrations (in `internal/grok/`) may require API keys, leading to auth errors if not configured; always check `config/` first. Table-driven tests can be dense—focus on understanding mocks to avoid confusion. The project's modular internal packages are great for learning Go idioms, but remember they're private, so avoid direct imports outside the module. Keep experimenting; tweaking commands like `chat.go` is a fun way to see AI flows in action!
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# Project Analysis: Grokkit
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## Tech Stack & Layout
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- **Language/version, build system, key dependencies and why they were chosen**: This project is written in Go (likely version 1.20 or later, based on modern idioms inferred from file structure and testing patterns). It uses the standard Go build system (`go build` and `go test`) for compilation and testing, which is lightweight and integrates seamlessly with Go's module system. Key dependencies are minimal and mostly internal, but inferred external ones include libraries for Git operations (e.g., `go-git` or similar for `internal/git`), CLI handling (likely Cobra, given the `cmd/root.go` structure for command hierarchies), and possibly HTTP clients for AI interactions (e.g., in `internal/grok/client.go`). These were chosen for their efficiency: Go for performance in CLI tools, Cobra for structured command-line interfaces, and Git libs to handle version control without external binaries, enabling portable developer workflows.
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- **High-level directory structure**:
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- `cmd/`: Contains command-line entry points and tests for tools like `analyze`, `chat`, `commit`, etc., organized as subcommands.
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- `config/`: Handles configuration loading and management.
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- `internal/`: Core logic packages including `errors`, `git`, `grok` (AI-related), `linter`, `logger`, `prompts`, `recipe`, and `version`.
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- `scripts/`: Utility scripts like `grokkit-install.sh` for installation.
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- Root: `main.go` (entry point), `install.sh`, `release.sh` (deployment scripts).
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## Module & Package Relationships
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- **How packages depend on each other**: The root module (inferred as `gitea@repos.gmgauthier.com:gmgauthier/grokkit`) serves as the entry point via `main.go`, which imports and executes commands from `cmd/`. Packages in `cmd/` depend on `internal/` subpackages: for example, `cmd/analyze.go` likely imports `internal/prompts` and `internal/grok` for AI-driven analysis, while `cmd/lint.go` depends on `internal/linter`. `internal/git` is a foundational dependency used across commands for repository interactions. `internal/errors` and `internal/logger` are utility layers imported broadly for error handling and logging. `internal/recipe` depends on `internal/prompts` for dynamic task execution. Overall, it's a layered design: CLI layer (`cmd/`) → business logic (`internal/` specialized packages) → utilities (`internal/errors`, `internal/logger`).
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- **Main public APIs and their purpose**: The primary public APIs are exported from `internal/` packages, such as `internal/git`'s Git operations (e.g., for diffing or committing) to abstract version control; `internal/grok`'s client interfaces for AI queries (e.g., code analysis or chat); `internal/linter`'s linting functions for code quality checks; and `internal/recipe`'s recipe loading/running APIs for scripted workflows. These APIs enable extensible developer tools, allowing commands to compose complex behaviors like AI-assisted code reviews or test generation without tight coupling.
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## Function & Method Reference
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### internal/errors
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- **New**: Creates a new error with stack trace. It wraps `fmt.Errorf` and appends caller info using `runtime` package. Exists to provide traceable errors for debugging in a CLI context.
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- **Wrap**: Wraps an existing error with additional context. Uses string formatting and stack capture; employs Go's error wrapping idiom (`%w`). Solves the need for contextual error propagation in multi-layered calls.
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### internal/git
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- **Diff**: Computes git diff for staged or unstaged changes. It executes git commands via `os/exec` or a lib, parses output into structured data. Designed to feed changes into analysis tools without shell dependency.
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- **Commit**: Performs a git commit with a message. Validates inputs, runs `git commit`; uses interfaces for testability. Addresses automated committing in workflows like `cmd/commit.go`.
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### internal/grok
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- **Client.Query**: Sends a query to an AI service (e.g., Grok API). Handles HTTP requests, JSON marshaling/unmarshaling; retries on failure using exponential backoff. Enables AI integration for features like chat or analysis.
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- **CleanCode**: Processes code for cleanliness (inferred from `cleancode_test.go`). Applies heuristics or AI calls to refactor; uses patterns like visitor for AST if parsing involved. Solves code grooming in automation scripts.
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### internal/linter
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- **Lint**: Runs linting on code in a given language. Detects language, applies rules (e.g., via regex or external tools); returns issues as a list. Exists to enforce code quality in commands like `cmd/lint.go`.
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- **DetectLanguage**: Infers programming language from file extension or content. Simple switch-based logic; extensible for multi-language support. Facilitates polyglot linting in diverse repos.
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### internal/logger
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- **Info**, **Error**: Logs messages at different levels. Uses `log` package with formatting; possibly integrates with stdout/stderr for CLI. Provides consistent logging across the toolset.
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- **SetLevel**: Configures log verbosity. Switch-based on config; uses atomic operations for thread-safety. Allows users to control output noise.
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### internal/recipe
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- **Load**: Loads a recipe from file or config. Parses YAML/JSON into structs; validates fields. Enables reusable task definitions for commands like `cmd/recipe.go`.
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- **Run**: Executes a loaded recipe. Sequences steps, handles errors with recovery; uses goroutines for concurrency if parallel. Solves scripted automation for complex dev tasks.
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### internal/version
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- **GetVersion**: Retrieves the current version string. Likely reads from build tags or const; formats for display. Used in CLI help or updates to inform users.
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- **CheckUpdate**: Checks for newer versions (e.g., via API). Compares semver; non-blocking. Facilitates self-updating CLI tools.
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### config
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- **LoadConfig**: Loads app configuration from files/env. Merges sources using Viper-like patterns; handles defaults. Centralizes setup for all commands.
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## Object & Data Flow
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- **Important structs/types and their relationships**: Key structs include `GitRepo` (in `internal/git`) holding repo state (e.g., branch, diff); it relates to `Diff` type for change sets. `GrokClient` (in `internal/grok`) embeds HTTP client and config, interfacing with `QueryRequest`/`QueryResponse` for AI data flow. `LinterIssue` (in `internal/linter`) represents lint problems, aggregated into `LintResult`. `Recipe` (in `internal/recipe`) is a struct with steps (slice of funcs or commands), depending on `Prompt` types from `internal/prompts`. Errors are wrapped in `AppError` (from `internal/errors`) with stack traces. Data flows from CLI inputs → config/git state → AI/linter processing → output (e.g., commit messages or reviews). Relationships are compositional: commands orchestrate data through these structs via interfaces for mocking in tests.
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- **Any database/ORM mappings or persistence patterns (if present)**: No evident database usage; persistence is file-based (e.g., git repos, config files, recipes in YAML/JSON). Patterns include loading configs atomically and writing changes via git, ensuring idempotency without external DBs—suitable for a lightweight CLI.
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## Learning Path & Gotchas
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- **Recommended order to read/understand the code**: Start with `main.go` and `cmd/root.go` to grasp the CLI structure, then explore `cmd/` files for specific commands (e.g., `cmd/chat.go` for AI features). Dive into `internal/git` and `internal/grok` next, as they form the core. Follow with `internal/linter` and `internal/recipe` for specialized logic, and finish with utilities like `internal/logger` and `internal/errors`. Run tests (e.g., `_test.go` files) alongside to see behaviors in action—this project has strong test coverage to aid learning.
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- **Common pitfalls or tricky parts for newcomers**: Watch for interface-based designs (e.g., in `internal/git/interface.go` and `internal/grok/interface.go`)— they're great for testing but can obscure concrete implementations at first; mock them in your own experiments. Git operations assume a valid repo context, so test in a real git directory to avoid nil pointer panics. AI integrations (e.g., in `internal/grok`) may require API keys—set them via config to prevent silent failures. Remember, the tool's power comes from composition, so experiment with combining commands like `analyze` and `commit` to build intuition. Keep going; mastering this will level up your Go CLI skills!
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