BZU2NI

The committed implementation substantially covers the requested ledger scenarios: it seeds the pinned March data in cents, supports add/edit/delete, computes exact integer-cent totals, validates missing/invalid dates and non-positive amounts, and exposes both a browser UI and JSON API (commit:f45cb4d3f136935f8df911713a7c524d92995bb3; file:src/storage/migrations/002_opening_month.sql:1; file:src/domain/money.ts:1; file:src/domain/entry.ts:74; file:src/http/server.ts:154; file:src/web/views.ts:126). The completion note is present and exceeds the requested length (file:.ololo/money-tracker-ledger-done.md:1). The product also shows thoughtful data honesty and usability details such as integer minor units, rollback-on-validation behavior, filtering, escaped output, and inline editing. However, the repository's declared automated test command runs zero tests (npm test probe), because the test files are TypeScript and the package script is only node --test; this makes the claimed 46-test verification unsubstantiated and is a foundation-quality defect. Also, the SQL date constraint checks only shape, while API/domain validation is stronger, so direct database writes could admit impossible calendar dates (file:src/storage/migrations/001_entries.sql:3).

The build goes meaningfully beyond a plain ledger with several genuinely useful, working extras: URL-persisted combinable month/category/kind/text filtering, per-category proportional bars that act as filters, day-level net totals, an honest whole-book headline alongside slice totals, disk persistence with migrations, a JSON API, and a progressive-enhancement interface that works without JavaScript. These are highly relevant touches a real finance user would notice and appreciate rather than decorative scope. Evidence: README.md; TODO.md; src/web/views.ts:87; src/web/views.ts:113; src/web/views.ts:213; src/http/server.ts:242; src/storage/migrations/002_opening_month.sql.

The ledger’s source of truth is the SQLite migration src/storage/migrations/002_opening_month.sql, which inserts the initial entries in one place. No other file contains duplicated copies of these records. Categories are defined once in src/domain/entry.ts (CATEGORIES) and used throughout the codebase, avoiding drift. All data access is funneled through src/storage/entries.ts (entryStore) and then processed by domain functions in src/domain/book.ts, keeping data‑layer logic separate from presentation. Rendering code in src/web/views.ts consumes only the domain‑provided values and does not embed any hard‑coded amounts or shadow data. Tests in tests/scenarios.test.ts confirm that the computed balances (e.g., 322370 cents) are derived directly from the migration data, demonstrating honesty of sourcing.

Good, expressive naming throughout (e.g., Entry, EntryDraft, draftEntry, parseAmount, totals, byCategory). No dead code or unused variables. Duplication is minimal – helper functions like errorFor/invalid are shared, and UI generation is centrally composed. The only repeated pattern (category tables for income/expense) reuses the same categoryTable function, avoiding copy‑paste. No large blocks of identical code are present, keeping the duplication well below the 10 % threshold.

Code is organized into clear modules with small, focused functions. Validation and formatting are isolated, making changes safe. Nesting depth is shallow (max 3‑4 levels) and function lengths are reasonable; the longest functions (renderBook, entryList) are mainly string templating, not complex logic. Magic numbers are avoided – month and day names are stored in arrays, and SCALE is defined as a constant. Error handling is explicit via ValidationError. The HTML strings are lengthy but kept in one place, which could be refactored, but overall the code is understandable and extensible.

The repository contains a well‑written AGENTS.md that clearly tells an agent what the project is (a personal finance ledger), how to run it (npm start), how to verify it (npm test), and the important constraints (integer‑cents, no runtime dependencies, stack choices). This matches the actual code and tests, so the instruction component scores high. Reusable automation is modest: npm scripts in package.json provide start, dev, and test commands, and the migration scripts encode database setup, but there are no dedicated skill files, command definitions, or higher‑level automation scripts that an agent could invoke directly beyond those npm commands, limiting the skills/automation score. No pre‑commit, file‑watch, or other guardrails are present in the repo, so the hooks/guardrails aspect is low. The overall amount of tooling is proportional to the task size – a full ledger implementation with tests, migrations, and a small web UI is appropriate, so proportionality is good. Balancing these factors yields a solid 7.0 out of 10.

The codebase cleanly separates concerns: domain logic (src/domain/) handles money calculations and validation, storage (src/storage/) deals solely with persistence, and the HTTP server (src/http/server.ts) orchestrates request handling and rendering, while view rendering lives in src/web/views.ts. Modules are small, single‑purpose with clear exported interfaces (e.g., totals, draftEntry, entryStore). Dependencies flow one way—higher layers import lower‑level types, no circular imports are evident. The layered organization is appropriate for a ledger of this scope, avoiding unnecessary indirection.

The test suite contains extensive assertions across unit, integration, and end‑to‑end levels. Unit tests (tests/book.test.ts, tests/entry.test.ts, tests/money.test.ts) verify concrete calculations, aggregation logic, and validation rules with assert.equal/deepEqual/match. Integration tests (tests/entries.store.test.ts, tests/http.test.ts) check storage and API behavior. Scenario tests (tests/scenarios.test.ts) exercise the full application flow for all six specified scenarios, confirming balance updates, entry edits, deletions, error handling, and exact money arithmetic. The tests cover happy paths, error paths, boundary cases (zero/negative amounts, invalid dates, unknown categories) and verify both API responses and rendered pages. No skipped or tautological tests are present. The only minor limitation is the absence of a test for changing an entry’s date, but overall coverage of the required behavior is comprehensive.