UR7QNW

The committed product substantially fulfills the receipt workflow. Bundled email and photo samples are present, replay readings are available without a live model, and the receipt UI visibly shows Konzum, the 2026-03-14 purchase, EUR 11.91, all four lines, and suggested groceries (artifact:e9a8b603-8f19-4f1a-ad6b-fffc64dc1959/receipt-desktop.png; samples/receipts/konzum-2026-03-14.eml; samples/receipts/konzum-2026-03-14.png; src/receipts/readers.ts). The implementation keeps receipts as drafts until confirmation, supports user category overrides, preserves the receipt and links it to the resulting entry, marks unreadable fields as uncertain without inventing values, blocks line/total mismatches unless corrected or explicitly acknowledged, and recognizes duplicate receipts by fingerprint and purchase identity (src/domain/receipt.ts; src/http/server.ts; src/web/receipt-views.ts; tests/receipt-scenarios.test.ts). The completion note is present and its claims are broadly supported (.ololo/money-tracker-receipts-done.md). A limitation in the evidence is that the deterministic probe's npm test command reports 0 tests because the repository's test discovery does not pick up the TypeScript tests, so the claimed 103 passing tests is supported only by the committed smoke log rather than a fresh execution (probe:deterministic npm test; .ololo/tmp/smoke.log). The visible UX is polished and coherent, though the submitted screenshots demonstrate the happy-path draft rather than the interactive correction, mismatch, uncertainty, photo-upload, and duplicate flows end to end.

The submission adds several real‑world enhancements beyond the brief: (1) a deterministic sample‑receipt generator that creates realistic greyscale PNGs with smudge and vignette effects (tools/make-sample-photos.ts) so the whole flow works offline; (2) duplicate detection both by exact file fingerprint and by matching merchant, date and total (src/receipts/intake.ts and samePurchase in src/domain/receipt.ts); (3) UI handling of line‑total mismatches with a clear warning, sum footer and an explicit "I have checked the paper" acknowledgment checkbox (linesMessage, renderReceipt, linesSection); (4) full accessibility support with ARIA attributes and error messages (invalid, errorFor in src/web/receipt-views.ts); (5) ability to discard and later restore receipts, preserving the receipt file (renderInbox, renderReceipt). These features are functional, improve usability, and demonstrate a creative approach (custom PNG generation) that a real user would notice and appreciate.

The code uses clear, self‑describing names (e.g., takeReceipt, chooseReader, readingFromModel) and avoids dead code or unnecessary duplication. The two readers implement the same interface without copy‑pasting logic, and helper functions (e.g., fingerprint, mediaTypeFor) are defined once and reused. No large blocks of identical code appear, keeping duplication well below the 10 % threshold.

Functions are reasonably sized, with clear responsibilities and limited nesting depth. Error handling is explicit (e.g., in readingFromModel and claudeReader), and magic values such as model names or environment variables are encapsulated in constants (MODEL, API). The design separates concerns (file handling, reader selection, receipt intake), making future changes straightforward. The only minor concern is a few long functions (~70 lines) but they remain well‑commented and readable.

The receipt data lives in the shipped sample files (samples/receipts/konzum-2026-03-14.eml) and the derived reading JSON (samples/readings/konzum-2026-03-14.eml.json). This constitutes a single logical source; the JSON is a derived representation used by the replay reader, not an independent copy used elsewhere, so source‑of‑truth is clear. No hard‑coded or shadow values appear in the code – all fields are read from the sample reading via the replayReader (src/receipts/readers.ts) and presented without alteration. The reading logic is isolated in the Reader interface and the domain receipt module, keeping data parsing separate from presentation code. The pinned receipt values (merchant, date, line items, total 11.91) are faithfully reproduced in the sample reading JSON (e.g., merchant "Konzum", total 1191, lines with correct totals) and are used to generate the draft, satisfying honesty of sourcing.

The repository includes a well‑written AGENTS.md that clearly tells an automated agent what the project is (a money‑tracker with receipt reading), how to run it (npm start), how to verify it (npm test), and the constraints (offline replay reader by default, optional Claude reader). It also documents the layout and the purpose of each directory, providing accurate guidance that matches the code. Automation is present via npm scripts (start, test, samples) and a dedicated tool script (tools/make-sample-photos.ts) that is used to generate sample receipts, demonstrating reusable commands rather than ad‑hoc steps. No explicit pre‑commit or validation hooks are defined, so guardrails are missing, but the overall setup is proportional to the task’s complexity – the receipt‑reading feature adds focused files (readers.ts, intake.ts, mime.ts) without unnecessary bloat. Hence a high but not perfect score.

The codebase is cleanly layered: domain models (src/domain/) define pure types and validation; receipt handling (src/receipts/) contains the ingestion pipeline, reader abstraction, and duplicate detection; storage (src/storage/) isolates persistence and provides typed stores; web/UI (src/web/) and HTTP server (src/http/server.ts) render and expose the functionality. Each module has a single purpose with clear interfaces (e.g., Reader, Intake, ReceiptStore). Dependencies flow inward – storage depends on domain, receipts depend on domain and storage, and the web layer depends on receipts and storage, with no circular imports. The added receipt feature is proportionate: new files introduce a logical layer without over‑engineering, and the existing ledger code is reused without unnecessary coupling. Evidence: src/domain/receipt.ts defines the core reading model and validation; src/receipts/intake.ts orchestrates reading and duplicate checks; src/receipts/readers.ts implements replay and Claude readers; src/storage/receipts.ts persists receipts; src/web/receipt-views.ts renders drafts. This demonstrates solid separation of concerns and well‑bounded components.

The test suite contains extensive assertions checking concrete expected values and behaviors across all six required scenarios and many edge cases. Unit tests (tests/receipt.test.ts, tests/readers.test.ts) verify parsing, line sums, mismatch detection, currency handling, and duplicate detection. Integration tests (tests/receipt-scenarios.test.ts, tests/receipts.http.test.ts) exercise the full HTTP flow, file uploads, draft handling, confirmations, uncertainty prompts, line‑total mismatches, duplicate receipt recognition, and discard/restore logic. Tests cover boundaries such as uncertain fields, invalid amounts, negative totals, empty lines, and mismatched sums. The mix includes unit, integration, and end‑to‑end tests, providing good depth and breadth. No skipped or tautological tests were found, and the tests faithfully specify behavior rather than restating implementation.