UX: owner answers round 2: no suggestion caption, most-often history, 14 default categories, finer import mapping
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
@@ -1,20 +1,28 @@
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keyword,match,default_key,source
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barn,prefix,children,data
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blöjor,token,children,curated
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fritids,token,children,curated
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förskol,prefix,children,data
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leksak,prefix,children,curated
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napp,prefix,children,data
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resevagn,token,children,data
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bio,token,entertainment,data
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bowling,token,entertainment,curated
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entre,token,entertainment,data
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entré,token,entertainment,data
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filmstaden,token,entertainment,curated
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gröna lund,phrase,entertainment,curated
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karaoke,token,entertainment,data
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konsert,prefix,entertainment,data
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liseberg,token,entertainment,curated
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museet,token,entertainment,curated
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museum,token,entertainment,data
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netflix,token,entertainment,curated
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padel,token,entertainment,curated
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spotify,token,entertainment,data
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teater,prefix,entertainment,curated
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viaplay,token,entertainment,curated
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bankavgift,token,fees,curated
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kvarskatt,token,fees,curated
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ränteåterbäring,token,fees,data
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skatt,token,fees,curated
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skatteverket,token,fees,curated
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alkohol,token,groceries,data
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bondens marknad,phrase,groceries,data
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bröd,token,groceries,data
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@@ -47,9 +55,7 @@ sjukhus,token,health,curated
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tandläkare,token,health,curated
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tandvård,token,health,curated
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vårdcentral,token,health,curated
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amortering,prefix,home,curated
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bauhaus,token,home,data
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brf,token,home,data
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byggmax,token,home,curated
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clas ohlson,phrase,home,data
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elgiganten,token,home,curated
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@@ -57,21 +63,26 @@ färg,token,home,data
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garderob,prefix,home,data
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gardin,prefix,home,data
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hylla,token,home,data
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hyra,token,home,data
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ikea,token,home,data
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jula,token,home,curated
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jysk,token,home,curated
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lamp,prefix,home,data
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lgh,token,home,data
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möbler,token,home,curated
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ohlson,token,home,data
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rusta,token,home,data
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ränta,token,home,data
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barnförsäkring,token,other,data
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förskola,token,other,data
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försäkring,prefix,other,data
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hemförsäkring,token,other,data
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ränteåterbäring,token,other,data
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amortering,prefix,housing,curated
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avgift,token,housing,data
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bolån,token,housing,curated
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brf,token,housing,data
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hyra,token,housing,data
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lgh,token,housing,data
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ränta,token,housing,data
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barnförsäkring,token,insurance,curated
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bilförsäkring,token,insurance,curated
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folksam,token,insurance,curated
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försäkring,prefix,insurance,data
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hemförsäkring,token,insurance,data
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länsförsäkringar,token,insurance,curated
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trygg hansa,phrase,insurance,curated
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bagel,prefix,restaurants,data
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bageri,prefix,restaurants,data
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bar,token,restaurants,curated
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@@ -90,38 +101,29 @@ max,token,restaurants,data
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mcdonalds,token,restaurants,curated
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middag,token,restaurants,data
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pizz,prefix,restaurants,data
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pub,token,restaurants,curated
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ramen,token,restaurants,data
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restaurang,prefix,restaurants,curated
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seml,prefix,restaurants,data
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streetfood,token,restaurants,data
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sushi,token,restaurants,data
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takeaway,token,restaurants,curated
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thai,token,restaurants,data
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uber eats,phrase,restaurants,curated
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wolt,token,restaurants,curated
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amazon,token,shopping,curated
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h&m,token,shopping,curated
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intersport,token,shopping,curated
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kappahl,token,shopping,curated
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lindex,token,shopping,curated
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present,prefix,shopping,data
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skor,token,shopping,curated
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stadium,token,shopping,curated
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zalando,token,shopping,curated
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zara,token,shopping,curated
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bensin,token,transport,curated
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bil,token,transport,data
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biltvätt,token,transport,curated
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buss,prefix,transport,curated
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diesel,token,transport,curated
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easypark,token,transport,curated
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flygbuss,token,transport,curated
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färj,prefix,transport,data
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laddning,prefix,transport,data
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okq8,token,transport,curated
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parkering,prefix,transport,data
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pendeltåg,token,transport,curated
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preem,token,transport,curated
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sj,token,transport,curated
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sl,token,transport,curated
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@@ -130,7 +132,6 @@ taxi,token,transport,data
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trängselskatt,token,transport,curated
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tåg,token,transport,data
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uber,token,transport,curated
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västtrafik,token,transport,curated
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airbnb,token,travel,data
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boende,token,travel,data
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booking,token,travel,curated
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@@ -138,8 +139,6 @@ flyg,token,travel,curated
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hotel,token,travel,data
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hotell,token,travel,data
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sas,token,travel,curated
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scandic,token,travel,curated
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vandrarhem,token,travel,curated
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bredband,token,utilities,curated
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elräkning,token,utilities,curated
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internet,token,utilities,data
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@@ -19,12 +19,12 @@ Proposal, 2026-10-18. The owner decided that the expense editor (S-7) fills in t
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Diacritics are kept (å, ä, ö and é stay distinct; the keyword table lists both spellings where it matters). Digits are kept. The **tokens** are the normalised description split on spaces; the **first token** is the first of them. An empty normalised description gives no history or keyword match.
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**CS-5 Order.** The suggested category is the first that applies of:
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1. **History, exact:** among the non-deleted expenses on the phone (every account, either user, including imported and recurring ones) whose normalised description equals the normalised typed description, the most recent one's category.
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2. **History, first token:** among the non-deleted expenses whose first token equals the typed description's first token, the most recent one's category.
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1. **History, exact:** among the non-deleted expenses on the phone (every account, either user, including imported and recurring ones) whose normalised description equals the normalised typed description, the category used most often among them; on a tie, the one used most recently.
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2. **History, first token:** among the non-deleted expenses whose first token equals the typed description's first token, the category used most often among them; on a tie, the one used most recently.
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3. **Keywords:** the category of the winning entry of the built-in keyword table (CS-6).
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4. **Default:** the AC-8.6 default (the category last used in the selected account on this phone if still active, else `other`).
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"Most recent" is the expense-list order of AC-8.10: `expense_date` descending, then `created_at` descending. A history candidate whose category is archived or deleted is skipped and the next most recent candidate of the same step is tried; when none is left, the next step applies.
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"Used most often" counts the matching expenses per category; "most recently" is the expense-list order of AC-8.10 (`expense_date` descending, then `created_at` descending), applied to the latest expense of each tied category (owner, 2026-10-18: most often, not most recent). Categories that are archived or deleted are left out of the count; when no category is left, the next step applies.
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**CS-6 Keyword table.** Each entry has `keyword` (already normalised), `match` and `default_key`. An entry matches when:
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* `token`: some token equals the keyword;
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@@ -33,58 +33,64 @@ Diacritics are kept (å, ä, ö and é stay distinct; the keyword table lists bo
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When several entries match, the longest keyword (in code points, spaces included) wins; on equal length, the entry earlier in the table wins (the table is sorted by `default_key`, then `keyword`). The winning entry gives the category with that `default_key` (renamed defaults included, since the key stays). If that category is archived, the next matching entry in the same order is tried; when none is left, step 4 applies. The table is fixed data shipped with the app; users do not edit it.
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**CS-7 What the user sees.** The suggestion replaces the category shown in the Kategori field and needs no confirmation. While a category comes from step 1, 2 or 3 and the flag of CS-2 is false, a one-line caption under the category field says "Vald utifrån beskrivningen" / "Chosen from the description" (string `expense_editor_category_suggested`); it disappears when the user picks a category by hand or when step 4 applies. Clearing the description returns the field to the step-4 default.
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**CS-7 What the user sees.** The suggestion simply replaces the category shown in the Kategori field: no caption, no marker, no confirmation (owner, 2026-10-18: a wrong guess is corrected with one tap). Clearing the description returns the field to the step-4 default.
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## Evidence
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Source: the household's two Splitwise exports, read-only on the owner's Mac. 1 775 expense rows from 2020-11 to 2026-10 (payment rows, blank lines and the total row excluded), mapped to Kvitt categories with the §10.8 table. True categories: groceries 662, home 315, restaurants 301, other 171, entertainment 111, transport 89, utilities 58, travel 35, health 17, shopping 16. 21 rows (1.2 %) had a Swedish Splitwise category name missing from the §10.8 table and count as `other` (see open points).
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Source: the household's two Splitwise exports, read-only on the owner's Mac. 1 775 expense rows from 2020-11 to 2026-10 (payment rows, blank lines and the total row excluded), mapped to the 14 Kvitt categories with the owner's revised import mapping of 2026-10-18 (§10.8 plus Rent, Mortgage, Hyra, Avbetalning/Amortering → `housing`; Insurance, Försäkringar → `insurance`; Childcare, Barnomsorg → `children`; Taxes, Skatter → `fees`; and the nine Swedish names that were missing). No row is unmapped. True categories: groceries 662, restaurants 301, home 164, housing 154, entertainment 113, transport 90, children 73, utilities 61, other 39, travel 37, insurance 26, shopping 19, fees 19, health 17.
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Method: chronological simulation. Rows are walked in date order; each row's category is predicted from earlier rows only and compared with its true category. The step-4 default is approximated as the previous row's category in the same file (one file is one account), `other` for the first row.
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**History variants alone** (coverage = share of rows with a prediction; accuracy among those):
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**History variants alone** (coverage = share of rows with a prediction; accuracy among those; "most often" breaks ties by most recent):
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| Variant | Coverage | Accuracy (most recent) | Accuracy (most frequent) |
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| Variant | Coverage | Most often | Most recent |
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|---|---|---|---|
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| Exact normalised description | 56.2 % | 94.9 % | 95.9 % |
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| First two tokens | 57.2 % | 94.8 % | 95.8 % |
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| First token | 71.5 % | 92.0 % | 93.0 % |
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| Exact, then first token (chosen) | 71.5 % | 92.3 % | 93.2 % |
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| Any shared token of ≥ 3 letters | 79.0 % | 86.2 % | 89.4 % |
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| Any shared token of ≥ 4 letters | 63.7 % | 85.4 % | 88.3 % |
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| Exact normalised description | 56.2 % | 95.6 % | 94.6 % |
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| First two tokens | 57.2 % | 95.5 % | 94.5 % |
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| First token | 71.5 % | 92.6 % | 91.4 % |
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| **Exact, then first token (chosen)** | 71.5 % | **92.8 %** | 91.9 % |
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| Any shared token of ≥ 3 letters | 79.0 % | 89.0 % | 84.8 % |
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| Any shared token of ≥ 4 letters | 63.7 % | 88.0 % | 83.9 % |
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Exact-then-first-token keeps the owner's "matching description" literally as step 1 and adds the first token for coverage. "Most frequent" is about one point better but harder to explain; the owner chose most recent. Dropping digit-only tokens changed nothing.
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Exact-then-first-token keeps the owner's "matching description" literally as step 1 and adds the first token for coverage. "Most often" is about one point better than "most recent" in every variant. Dropping digit-only tokens changed nothing.
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**Full rule (CS-5, chosen variant, keyword table as committed):**
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| Stage | Share of rows | Accuracy |
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|---|---|---|
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| History (exact 998 rows at 94.9 %, first token 272 rows at 82.7 %) | 71.5 % | 92.3 % |
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| Keywords | 7.8 % | 94.2 % |
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| Default (approximated) | 20.7 % | 30.0 % |
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| **Overall** | 100 % | **79.5 %** |
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| History, exact (998 rows) | 56.2 % | 95.6 % |
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| History, first token (272 rows) | 15.3 % | 82.7 % |
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| Keywords (145 rows) | 8.2 % | 92.4 % |
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| Default, approximated (360 rows) | 20.3 % | 28.3 % |
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| **Overall** | 100 % | **79.7 %** |
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For comparison: the AC-8.6 default alone 31.9 %; history and default without keywords 74.6 %. Putting keywords before history would give 80.7 %, exact history then keywords then first token 79.9 %; the differences are small, so the owner's order stands.
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For comparison: the AC-8.6 default alone 30.5 %; history and default without keywords 74.7 %; the full rule with "most recent" history 79.0 %.
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**Cold start** (keywords and default only, no history): first 10 % of rows (177): keywords cover 78.0 % at 96.4 % accuracy, 85.3 % overall. Over all rows: 72.2 % coverage at 96.7 %. These are in-sample for the `data` entries. An out-of-sample check (keep a `data` entry only if it reaches ≥ 2 rows and ≥ 80 % precision in the first half; test on the second half) gives 58.1 % coverage at 98.4 % accuracy.
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**Cold start** (keywords and default only, no history): first 10 % of rows (177): keywords cover 77.4 % at 95.6 % accuracy, 83.6 % overall. Over all rows: 72.7 % coverage at 96.0 %. These are in-sample for the `data` entries. An out-of-sample check (keep a `data` entry only if it reaches ≥ 2 rows and ≥ 80 % precision in the first half; test on the second half) gives 57.9 % coverage at 97.5 % accuracy.
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**Most common wrong suggestions** (suggested → true, full rule, 363 wrong of 1 775; 257 of them at the default step): groceries → restaurants 55, groceries → other 38, restaurants → groceries 35, groceries → home 23, home → other 18, restaurants → other 14, other → groceries 13, other → home 12. History errors are mostly the groceries/restaurants pair on a shared first token such as "mat". Keyword errors (8 in total) are mostly `apotek` (the household filed pharmacy purchases under other as often as under health) and `ikea` (the IKEA restaurant).
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**Most common wrong suggestions** (suggested → true, full rule, 360 wrong of 1 775: 258 at the default step, 91 at history, 11 at keywords): groceries → restaurants 53, restaurants → groceries 30, groceries → home 24, groceries → other 15, groceries → children 14, transport → restaurants 9, housing → home 9, groceries → entertainment 8. History errors are mostly the groceries/restaurants pair on a shared first token such as "mat". Keyword errors are spread thin (`apotek` and `mat` 2 each, the rest 1).
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**Keyword table:** 149 entries, 76 `data` and 73 `curated`; 119 `token`, 24 `prefix`, 6 `phrase`.
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**Keyword table:** 148 entries, 79 `data` and 69 `curated`; 114 `token`, 28 `prefix`, 6 `phrase`. No entry maps to `other`.
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| `default_key` | data | curated |
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|---|---|---|
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| groceries | 20 | 4 |
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| restaurants | 17 | 11 |
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| home | 14 | 6 |
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| restaurants | 17 | 8 |
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| home | 10 | 4 |
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| housing | 5 | 2 |
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| utilities | 1 | 7 |
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| transport | 6 | 15 |
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| travel | 4 | 5 |
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| entertainment | 7 | 9 |
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| transport | 6 | 10 |
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| travel | 4 | 3 |
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| entertainment | 7 | 5 |
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| health | 1 | 7 |
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| shopping | 1 | 9 |
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| other | 5 | 0 |
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| shopping | 1 | 7 |
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| insurance | 2 | 5 |
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| children | 4 | 3 |
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| fees | 1 | 4 |
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`data` entries predicted one category with high precision in the export (most ≥ 90 %, `ikea` 79 %, `apotek` 55 % kept because the meaning is unambiguous). `curated` entries are well-known Swedish chains and services and unambiguous words, absent or rare in the export.
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`data` entries predicted one category with high precision in the export (most ≥ 90 %; `ikea` 79 %, the misses being the IKEA restaurant; `apotek` 55 %, kept because the meaning is unambiguous, the household filed pharmacy purchases under health, children, other and home). `curated` entries are well-known Swedish chains and services and unambiguous words, absent or rare in the export. Two curated entries go against the few rows in the export, by the owner's examples: `barnförsäkring` → insurance (3 rows filed under childcare) and `blöjor` → children (2 of 3 rows filed under groceries).
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The five former `other` entries were moved: `försäkring`, `hemförsäkring`, `barnförsäkring` → insurance; `ränteåterbäring` → fees (17 of 18 rows were filed under taxes); `förskola` → children (now the prefix `förskol`). `hyra`, `ränta`, `lgh`, `brf` and `amortering` moved from home to housing, and `avgift` was added (2 of 2 rows housing).
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## Excluded on purpose
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@@ -93,14 +99,13 @@ Kinds of word left out of the table even when they predicted well:
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* town, city and country names (they predict a trip, not a category);
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* names of single local restaurants, cafés and shops whose identity was unclear;
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* function words and abbreviations (och, till, för, på, mm, etc, o, &);
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* words the household used against their dictionary meaning: `el` (always part of "hyra och el", filed under home), `kläder` (filed under other); and words split between categories: `frukost`, `vin`, `öl`, `blommor`, `brunch`, `cykel`.
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* words the household used against their dictionary meaning: `el` (always part of "hyra och el", filed under housing), `kläder` (filed under childcare in the export; generic clothes belong to shopping); and words split between categories: `frukost`, `vin`, `öl`, `blommor`, `brunch`, `cykel`, `ansiktstvätt`.
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## Open points
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1. **`other` entries.** The five `data` entries for `other` (insurance words, ränteåterbäring, förskola) are kept because they beat the default; the brief said the curated set never targets `other`. Drop them if keyword hits should never select Övrigt.
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2. **Missing Swedish Splitwise names in §10.8.** Nine Swedish category names in the export are not in the mapping table (21 rows): Städning, Verktyg - Övrigt, Tjänster, Cykel, Livet - Övrigt, Flyg, Spel, Kläder, Utbildning. By their English equivalents they would map to utilities, utilities ("Utilities - Other"), home, transport, other, travel, entertainment, shopping and other. The importer would count them as unmapped; the history step inherits whatever the import stores.
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3. **Imported history.** After M11 the whole Splitwise history is in Room, so for this household history decides most descriptions from day one; the keyword table matters for new words and after a fresh install.
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4. **Recurring template editor.** Not covered; the same rule could apply to new templates.
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5. **Recency key.** CS-5 uses the list order (`expense_date`). Using `updated_at` instead would let a re-categorised old expense teach the rule; not measurable from the export.
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6. **Where the table lives.** Proposed: `:domain` as data plus a unit test that loads `docs/ux/category-keywords.csv` (or its successor) and checks every keyword is already normalised and unique.
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7. **English keywords.** The table is Swedish plus brand names; English words are not covered.
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1. **Import mapping.** The replay uses the owner's revised mapping (14 categories, nine added Swedish names); SPEC §10.8 and AC-7.2 still list ten categories and must be updated with it.
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2. **Imported history.** After M11 the whole Splitwise history is in Room, so for this household history decides most descriptions from day one; the keyword table matters for new words and after a fresh install.
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3. **Recurring template editor.** Not covered; the same rule could apply to new templates.
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4. **Recency key.** CS-5 breaks ties by list order (`expense_date`). Using `updated_at` instead would let a re-categorised old expense count as recent; not measurable from the export.
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5. **Where the table lives.** Proposed: `:domain` as data plus a unit test that loads `docs/ux/category-keywords.csv` (or its successor) and checks every keyword is already normalised, unique, and maps to an existing `default_key`.
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6. **English keywords.** The table is Swedish plus brand names; English words are not covered.
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@@ -13,10 +13,15 @@ Every entry has: the owner's answer or the finding, the proposed decision text f
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| Category from the description | **Yes:** the category is auto-selected from the description and the user can still change it. Rule: history first, then a built-in keyword list, then the AC-8.6 default. The keyword list is learned from the household's Splitwise export. |
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| S-1 "Ditt namn" field (partner types the name on S-1 and confirms it on S-2) | **OK** |
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| Swedish wording "Ni är kvitt", "Gör upp", "Du lånade ut / Du lånade", "Inte inblandad" | **Yes** |
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| Muted Kalas (2026-10-18, second round) | **Approved** ("let's go with that for now"). |
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| Mark the suggested category ("Vald utifrån beskrivningen")? | **No:** the category is simply selected; a wrong guess is changed with one tap; simpler UI. |
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| History match: most recent or most often? | **Most often.** |
|
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| Import granularity | Splitwise's categories are finer than Kvitt's ten defaults (several "Övrigt" under different groups); map them better. "Hemförsäkring" must not end up in Övrigt. |
|
||||
| Which new default categories? | **All four proposed:** Boende, Försäkringar, Barn, Avgifter & skatter. |
|
||||
|
||||
## UX-1 Direction: Kalas, muted
|
||||
|
||||
* **Decision:** the app's visual direction is U1's direction 3 "Kalas" (cards, very round shapes, a solid category-colour tile on every expense, the seesaw balance), with a muted palette (status: being revised; see `directions/3-kalas/`). Typeface per D-020 (Material 3 default, Roboto); Kalas's preview font Nunito is dropped.
|
||||
* **Decision:** the app's visual direction is U1's direction 3 "Kalas" (cards, very round shapes, a solid category-colour tile on every expense, the seesaw balance), with the muted palette of `directions/3-kalas/` (owner approved 2026-10-18). Typeface per D-020 (Material 3 default, Roboto); Kalas's preview font Nunito is dropped.
|
||||
* **Why:** owner's pick; muted because bright colours tire over years of daily use.
|
||||
* **Spec:** none beyond UX-5 (category colours). U2's `design-spec.md` carries the tokens.
|
||||
|
||||
@@ -27,22 +32,67 @@ Every entry has: the owner's answer or the finding, the proposed decision text f
|
||||
|
||||
## UX-3 Category suggested from the description
|
||||
|
||||
* **Decision (owner, 2026-10-18):** for a new expense, the editor selects a category from the description as the user types, while the user has not picked a category by hand in this editor session: (1) history match, (2) built-in keyword list, (3) the AC-8.6 default. The user can always change it. Editing an existing expense never changes its category automatically.
|
||||
* **Decision (owner, 2026-10-18):** for a new expense, the editor selects a category from the description as the user types, while the user has not picked a category by hand in this editor session: (1) history match, the category used **most often** among matching expenses, (2) built-in keyword list, (3) the AC-8.6 default. The selected category is not marked as a suggestion (no caption); the user changes it with one tap. Editing an existing expense never changes its category automatically.
|
||||
* **Why:** most expenses repeat the same shops; fewer taps in the ten-second flow (§13.1).
|
||||
* **Evidence** (chronological replay of the household's 1 775 Splitwise expenses, aggregates only, `category-suggestion.md`): history step right 92.3 % of the time and used for 71.5 % of rows; keyword step 94.2 % on 7.8 %; overall 79.5 % correct versus 31.9 % for today's AC-8.6 default alone. At cold start (no history) keywords fire on 78 % of rows and are right 96 % of the time.
|
||||
* **Evidence** (chronological replay of the household's 1 775 Splitwise expenses with the 14 categories of UX-8 and the mapping of UX-7, aggregates only, `category-suggestion.md`): history step ("most often") used for 71.5 % of rows and right 92.8 % of the time; keyword step 92.4 % on 8.2 %; overall **79.7 %** correct versus 30.5 % for today's AC-8.6 default alone ("most recent" would give 79.0 %). Cold start (no history): keywords fire on 77 % of rows and are right 96 % of the time.
|
||||
* **Spec changes:**
|
||||
* AC-8.6: the category default becomes "the suggestion of §9.11, which falls back to the current rule".
|
||||
* New §9.11 "Category suggestion": the text CS-1 to CS-7 of `category-suggestion.md`.
|
||||
* New contract file `contracts/category-keywords.csv` (columns `keyword,match,default_key,source`; draft `docs/ux/category-keywords.csv`, 149 entries), listed in §14.8.
|
||||
* New contract file `contracts/category-keywords.csv` (columns `keyword,match,default_key,source`; draft `docs/ux/category-keywords.csv`, 148 entries, none mapping to `other`), listed in §14.8.
|
||||
* §14.2.4: `ExpenseRepository` gains `suspend fun suggestCategory(accountId: AccountId?, description: String): CategoryId?` (computed in `:data` from Room and the keyword table; the editor calls it on description and account changes while the category was not picked by hand).
|
||||
* §14.5: a pure Kotlin function `suggestCategory(description, history, keywords, activeCategories, fallback)` in `:domain` with test vectors (Kotlin only, like analytics).
|
||||
* `strings.csv`: `expense_editor_category_suggested` "Vald utifrån beskrivningen" / "Chosen from the description".
|
||||
* **Open points** (owner, low stakes; defaults in brackets): keep the five keywords that pick Övrigt, e.g. insurance words [keep]; "most recent" vs "most frequent" history match, the latter about one point better [most recent, as chosen].
|
||||
|
||||
## UX-7 §10.8 misses nine Swedish Splitwise category names
|
||||
## UX-7 Finer Splitwise import mapping (§10.8)
|
||||
|
||||
* **Finding** (from the export analysis): 21 rows use Swedish Splitwise category names that the §10.8 mapping table lacks: Utbildning (4), Tjänster (3), Livet - Övrigt (3), Kläder (3), Städning (2), Flyg (2), Spel (2), Verktyg - Övrigt (1), Cykel (1). They would import as `other` with a warning.
|
||||
* **Proposed decision:** add them to the §10.8 table and `server/crates/kvitt-import/data/splitwise_categories.csv` by their English equivalents: Utbildning → other, Tjänster → home, Livet - Övrigt → other, Kläder → shopping, Städning → utilities, Flyg → travel, Spel → entertainment, Verktyg - Övrigt → utilities, Cykel → transport. (Needed by M9.)
|
||||
* **Finding** (export analysis): 21 rows use Swedish Splitwise category names that the §10.8 table lacks (Utbildning 4, Tjänster 3, Livet - Övrigt 3, Kläder 3, Städning 2, Flyg 2, Spel 2, Verktyg - Övrigt 1, Cykel 1); and §10.8 collapses Splitwise's finer categories, so e.g. Försäkringar (26 rows), Barnomsorg (73) and Skatter (19) land in `other` and Hyra (106) and Avbetalning/Amortering (48) in `home`.
|
||||
* **Decision (owner, 2026-10-18):** map Splitwise categories as finely as Kvitt's categories allow, with the four new defaults of UX-8.
|
||||
* **Spec:** the §10.8 table and `server/crates/kvitt-import/data/splitwise_categories.csv` become:
|
||||
|
||||
| Splitwise category (English) | Splitwise category (Swedish) | Kvitt `default_key` |
|
||||
|---|---|---|
|
||||
| Groceries, Food and drink - Other, Liquor | Livsmedel, Mat och dryck - Övrigt, Alkohol | `groceries` |
|
||||
| Dining out | Restaurangbesök | `restaurants` |
|
||||
| Rent, Mortgage | Hyra, Avbetalning/Amortering | `housing` |
|
||||
| Electronics, Furniture, Household supplies, Maintenance, Services, Pets, Home - Other | Elektronik, Möbler, Förbrukningsvaror, Skötsel/underhåll, Tjänster, Husdjur, Hem - Övrigt | `home` |
|
||||
| Electricity, Heat/gas, Water, Trash, TV/Phone/Internet, Cleaning, Utilities - Other | El, Värme/gas, Vatten, Sophämtning, TV/telefon/internet, Städning, Verktyg - Övrigt | `utilities` |
|
||||
| Insurance | Försäkringar | `insurance` |
|
||||
| Bicycle, Bus/train, Car, Gas/fuel, Parking, Taxi, Transportation - Other | Cykel, Buss/tåg, Bil, Bensin/bränsle, Parkering, Taxi, Transport - Övrigt | `transport` |
|
||||
| Hotel, Plane | Hotell, Flyg | `travel` |
|
||||
| Games, Movies, Music, Sports, Entertainment - Other | Spel, Filmer, Musik, Sport, Underhållning - Övrigt | `entertainment` |
|
||||
| Medical expenses | Sjukvård/medicin | `health` |
|
||||
| Childcare | Barnomsorg | `children` |
|
||||
| Clothing, Gifts | Kläder, Presenter | `shopping` |
|
||||
| Taxes | Skatter | `fees` |
|
||||
| General, Education, Life - Other, Other | Allmänt, Utbildning, Livet - Övrigt | `other` |
|
||||
| any other value | any other value | `other`, counted as unmapped |
|
||||
|
||||
Swedish names not seen in the export (El, Värme/gas, Vatten, Sophämtning, Husdjur) are Splitwise's Swedish labels by analogy and must be checked against Splitwise before M9 relies on them; an unseen name simply stays unmapped.
|
||||
|
||||
## UX-8 Four new default categories
|
||||
|
||||
* **Decision (owner, 2026-10-18):** Kvitt seeds 14 default categories instead of 10. New: Boende, Försäkringar, Barn, Avgifter & skatter. Hem keeps furniture, supplies, maintenance, electronics and services; rent and mortgage move to Boende.
|
||||
* **Why:** the household's history shows these as separate, large groups (Hyra + Amortering 154 rows, Barnomsorg 73, Försäkringar 26, Skatter 19) that were collapsed into Hem and Övrigt; separate categories make analytics and the category suggestion meaningful.
|
||||
* **Spec (AC-7.2 table, full new list in sort order; new rows in bold):**
|
||||
|
||||
| `default_key` | English name | Swedish name | `icon` | `color` | `sort_order` |
|
||||
|---|---|---|---|---|---|
|
||||
| `groceries` | Groceries | Mat & hushåll | `shopping_cart` | `green` | 10 |
|
||||
| `restaurants` | Restaurants | Restaurang & café | `restaurant` | `orange` | 20 |
|
||||
| **`housing`** | **Housing** | **Boende** | **`key`** | **`indigo`** | **25** |
|
||||
| `home` | Home | Hem | `home` | `brown` | 30 |
|
||||
| `utilities` | Utilities | Räkningar | `bolt` | `yellow` | 40 |
|
||||
| **`insurance`** | **Insurance** | **Försäkringar** | **`shield`** | **new token (UX-5)** | **45** |
|
||||
| `transport` | Transport | Transport | `directions_car` | `blue` | 50 |
|
||||
| `travel` | Travel | Resor | `flight` | `teal` | 60 |
|
||||
| `entertainment` | Entertainment | Nöje | `movie` | `purple` | 70 |
|
||||
| `health` | Health | Hälsa | `medical_services` | `red` | 80 |
|
||||
| **`children`** | **Children** | **Barn** | **`child_care`** | **`lime`** | **85** |
|
||||
| `shopping` | Shopping | Shopping | `shopping_bag` | `pink` | 90 |
|
||||
| **`fees`** | **Fees & taxes** | **Avgifter & skatter** | **`account_balance`** | **new token (UX-5)** | **95** |
|
||||
| `other` | Other | Övrigt | `category` | `grey` | 100 |
|
||||
|
||||
* **Contract consequences** (one landing, numbered by the docs agent): AC-7.2 table; §9.7 icon set gains `key`, `shield`, `account_balance` (33 tokens) and the colour set gains two tokens (UX-5); §14.1 seed rows with four new fixed ids and a server schema **migration to version 2** inserting them (existing databases, including the development stack, get them on upgrade); `DefaultCategoryKey` and `ColorToken` in §14.2.4 gain the new values and `CategoryIcons.ALL` the new icons; the OpenAPI enums; default-name strings in both languages (`strings.csv`); test vectors that enumerate categories, if any. The Room schema is unchanged (category rows arrive through sync).
|
||||
* **Order matters for existing milestones:** M3 (server) and M5 (`:data`) already landed with ten defaults, so this is a contract change against code on `main`, not only the spec.
|
||||
|
||||
## UX-4 S-1 asks for the display name
|
||||
|
||||
@@ -53,7 +103,7 @@ Every entry has: the owner's answer or the finding, the proposed decision text f
|
||||
## UX-5 Category colour values (§9.7)
|
||||
|
||||
* **Finding:** several provisional §9.7 values fail contrast as icon colours on tinted containers (light orange, yellow, lime).
|
||||
* **Decision:** replace the §9.7 hex values with the muted Kalas values (pending; filled in when the revision is approved). Token names unchanged.
|
||||
* **Decision:** replace the §9.7 hex values with the muted Kalas values, and add two colour tokens for the new categories of UX-8 (values and names from the Kalas revision in progress; filled in when it reports). Existing token names unchanged.
|
||||
* **Spec:** §9.7 table values.
|
||||
|
||||
## UX-6 Smaller UX rules found during U1 (no owner question needed)
|
||||
@@ -69,5 +119,6 @@ Every entry has: the owner's answer or the finding, the proposed decision text f
|
||||
## Status
|
||||
|
||||
* U1: delivered (`d27f92e` rebased on `main`), direction picked.
|
||||
* Done: muted Kalas revision (`directions/3-kalas/`, awaiting the owner's look); keyword list and suggestion analysis (`category-keywords.csv`, `category-suggestion.md`).
|
||||
* Next: owner approves the muted palette → U2 `design-spec.md`, renamed `strings.csv`, per-screen PNGs, and the final values for UX-3 and UX-5.
|
||||
* Done: muted Kalas revision (approved); keyword list and replay for 14 categories and "most often".
|
||||
* In progress: Kalas mocks with the 14 categories and two new colour tokens;
|
||||
* Next: owner approves the muted palette → U2 `design-spec.md`, renamed `strings.csv`, per-screen PNGs, and the final values for UX-3, UX-5 and UX-8.
|
||||
|
||||
Reference in New Issue
Block a user