FZ26AL

The committed product substantially fulfills the receipt-reading task. It bundles emailed and photographed Konzum samples and recorded readings for cold-start replay (samples/receipts/konzum-email.txt, samples/receipts/konzum-photo.png, samples/readings/konzum-email.json, samples/readings/konzum-photo.json), and the reading contains the pinned merchant, date, total, four lines, currency, and groceries suggestion (samples/readings/konzum-email.json; test/receipts.test.ts). Receipts remain drafts until confirmation: the HTTP flow creates a receipt draft before calling book.record, while confirmation explicitly checks blockers first (lib/serve.ts:90-122, lib/serve.ts:164-195). The review UI shows the source paper beside the reading, supports category correction, displays line sums, flags uncertain fields, and blocks mismatched totals (lib/pages.ts:113-190; lib/receipts.ts:45-77). Confirmed receipts are linked back to entries and exposed as receipt links, and duplicate confirmed receipts are recognized by shop/day/total (lib/store.ts:105-113, lib/store.ts:145-171; lib/pages.ts:214-219). The supplied screenshots visibly demonstrate the bundled receipt assets, including the exact Konzum paper and alternate uncertain/mismatch samples (participant-delivered screenshots). The completion note is present and exceeds the required length (.ololo/money-tracker-receipts-done.md). The main product limitation is that the review form does not expose editable line-item fields, despite the brief saying the person can correct the draft; it only permits correction of shop, date, amount, category, and note (lib/pages.ts:143-177; lib/receipts.ts:91-111). Also, duplicate detection is only against confirmed receipt records and compares a coarse fingerprint, so a duplicate draft is not recognized until confirmation (lib/store.ts:105-113).

The build goes beyond a plain receipt-entry flow with a useful replayable reader abstraction for cold-start demos, a side-by-side receipt review, explicit uncertainty questions, line-total mismatch blocking, duplicate recognition, and persistent receipt links from ledger entries. These are thoughtful end-user safeguards and workflow touches rather than gimmicks. The shipped artifacts visibly include multiple receipt samples, including the pinned Konzum email/photo and mismatch/smudged cases, while the implementation documents and wires the replay reader and receipt lifecycle.

AGENTS.md provides clear project metadata, how to run (npm start) and test (npm test), matching the codebase and enabling an agent to understand the purpose and constraints – good instruction (≈7). Reusable automation exists via npm scripts and the RecordedReader that replays pre‑recorded readings, which the tests use to demonstrate end‑to‑end flow – modest automation (≈5). No explicit git hooks or guardrails (pre‑commit, validation scripts) are present, so automatic mistake catching is missing (≈2). The repository size and layout are appropriate for the task; the files serve distinct roles (reader, receipts, tests) without extraneous framework, showing proportionality (≈7). Combining these aspects yields an overall agentic score around 6.2.

The code uses clear, descriptive names (e.g., RecordedReader, unread, fingerprint, blockers). No dead code or obvious copy‑paste blocks are present. Functions are reasonably sized, and duplicated logic is minimal (no large duplicated sections).

Functions are short and focused, with limited nesting. Validation and error handling are explicit (e.g., Refused in ledger.ts, blockers checks). Magic values are encapsulated (e.g., status strings in store.ts). The main HTML generator (page in pages.ts) is larger but still readable, and overall design separates concerns well.

The receipt data is stored in a single, identifiable source – the JSON reading file (samples/readings/konzum-email.json) that is replayed by the RecordedReader. No values are duplicated in markup or code; all displayed fields come directly from the reading (e.g., shop, date, total, lines). Data handling is separated into lib/reader.ts and lib/receipts.ts, which expose a clean interface (Reader.read, blockers, linesTotal) that the page layer consumes, keeping parsing out of the presentation code. The implementation never fabricates values – it returns "unsure" fields when a reading is missing, and the UI blocks confirmation if totals mismatch, thus staying honest to the pinned receipt. Minor duplication of the raw receipt text files exists, but the authoritative data (the JSON reading) is unique, so the score reflects strong but not perfect data governance.

The codebase cleanly separates concerns: lib/ledger.ts holds accounting rules, lib/receipts.ts models receipt readings, lib/reader.ts abstracts receipt reading implementations, lib/store.ts deals with persistence, lib/pages.ts generates HTML, and lib/serve.ts wires HTTP routing and request handling. Component boundaries are clear with single‑purpose modules and well‑defined interfaces (e.g., Reader.read, store.Book methods, pages.page). Dependencies flow one way – higher‑level layers import lower‑level utilities but there are no circular imports (e.g., pages.ts → ledger.ts → money.ts; serve.ts → store.ts, ledger.ts, pages.ts, reader.ts). The structure matches the task size; each concern has its own file without unnecessary abstraction layers. Overall the architecture is modular, testable, and appropriately proportional.

The test suite contains concrete assertions (assert.equal, deepEqual, throws) that verify expected values and error conditions across all major features: receipt reading (email and photo), draft handling, uncertainty prompts, total‑line mismatch blocking, duplicate detection, confirmation saving, and ledger operations (balance, per‑category totals, entry creation, correction, removal, invalid input handling). It covers boundary and error paths such as uncertain fields, mismatched line totals, zero/negative amounts, invalid dates, multiple validation failures, and empty files. The mix includes unit tests (money.test.ts, ledger.test.ts), integration tests (receipts.test.ts exercising the Book store with RecordedReader), and higher‑level scenario tests (scenarios.test.ts). No tests are skipped, tautological, or merely restating implementation. The coverage aligns well with the task’s scenarios and important edge cases, demonstrating a thorough verification effort for a project of this size.