1|<template>
     2|
     3|

     4|
JARVIS

     5|
Finance

     6|
PrimeVue Aura Light

     7|

     8|
     9|      <RouterLink v-for="item in mainItems" :key="item.to" :to="item.to" class="nav-link" active-class="active-nav-link">{{ item.label }}</RouterLink>
    10|      <template v-for="group in budgetGroups" :key="group.title">
    11|
{{ group.title }}

    12|        <RouterLink v-for="item in group.items" :key="item.to" :to="item.to" class="nav-link" active-class="active-nav-link">{{ item.label }}</RouterLink>
    13|      </template>
    14|
    15|
    16|
User Flow

    17|
Lokale Daten automatisch geladen.

    18|
Schreibseiten: Preview/Confirm/Audit.

    19|
    20|
    21|
    22|  <button data-testid="mobile-menu-button" type="button" class="pointer-events-auto fixed right-3 top-3 z-[95] min-h-12 rounded-2xl border border-slate-200 bg-white/95 px-4 py-2 text-sm font-bold text-slate-900 shadow-2xl backdrop-blur lg:hidden" @click="menuOpen = true">Menü</button>
    23|

    24|

    25|

JARVIS

Mobiles Menü

    26|      <button data-testid="mobile-menu-close" type="button" class="min-h-12 rounded-xl border border-slate-300 px-4 py-2 font-semibold" @click="menuOpen = false">Schließen</button>
    27|

    28|
    29|      <a v-for="item in allMobileMenuItems" :key="item.to" :href="item.to" :data-testid="`mobile-menu-link-${item.key}`" class="block min-h-14 rounded-2xl border border-slate-200 bg-slate-50 px-4 py-4 text-base font-semibold text-slate-900 active:bg-cyan-50" :class="isActive(item.to) ? 'ring-2 ring-cyan-300' : ''">{{ item.label }}{{ item.to }}
    30|
    31|

    32|
    33|
    34|    <a v-for="item in mobileItems" :key="item.to" :href="item.to" :data-testid="`mobile-nav-${item.key}`" class="mobile-nav-link min-h-12 rounded-xl px-1 py-2 font-medium transition active:bg-cyan-50" :class="isActive(item.to) ? 'mobile-nav-active' : ''" @click="moreOpen = false">{{ item.label }}
    35|

    36|      Reports Wallets Einkünfte Kategorien Aktien/ETF & Cash Buchungen prüfen
    37|      <button data-testid="mobile-more-button" type="button" class="min-h-12 w-full rounded-xl px-1 py-2 font-medium text-slate-600 transition active:bg-cyan-50" :class="moreOpen ? 'bg-cyan-50 text-cyan-800 ring-1 ring-cyan-200' : ''" @click="moreOpen = !moreOpen">Mehr</button>
    38|

    39|        <a v-for="item in moreItems" :key="item.to" :href="item.to" :data-testid="`mobile-more-${item.key}`" class="block min-h-11 w-full rounded-xl px-3 py-3 text-left text-sm text-slate-700 hover:bg-slate-100 active:bg-cyan-50" :class="isActive(item.to) ? 'mobile-more-active' : ''" @click="moreOpen = false">{{ item.label }}
    40|

    41|

    42|
    43|</template>
    44|
   100|
   101|


1|<template>
     2|

     3|

     4|      <SidebarNav />
     5|
     6|
     7|          <PageHeader eyebrow="User Dashboard" :title="title" description="Lokale Finance-Ansicht · externe Provider nur per expliziter Aktion">
     8|            <template #actions>
     9|              <PageHelpButton :help="help" />
    10|              Read-only View
    11|            </template>
    12|          </PageHeader>
    13|
    14|
<RouterView />

    15|
    16|

    17|

    18|</template>
    19|
    30|


Ich prüfe jetzt die kritischen Routen live über Tailscale/Dev-Server und sammle, welche Seite wirklich bricht.

from hermes_tools import terminal
routes = ['/', '/portfolio','/crypto','/equity','/wallets','/positions/add','/reports','/planning/budget','/planning/budget/expenses/review','/planning/budget/expenses/actual','/planning/budget/income','/planning/budget/transfers','/planning/budget/categories','/planning/budget/rules','/planning/budget/analysis/data-explorer','/planning/budget/analysis/categories','/planning/budget/analysis/monthly','/planning/budget/analysis/budget-vs-actual','/planning/budget/grocery-optimizer']
script = """
set -euo pipefail
for r in %s; do
  code=$(curl -fsS -o /dev/null -w '%%{http_code}' "http://100.85.29.67:5173$r" || true)
  echo "$r $code"
done
""" % (' '.join(routes))
print(terminal(script, workdir='/home/agent/.hermes/repos/FinanceManager', timeout=120)['output'])


Output:
/ 200
/portfolio 200
/crypto 200
/equity 200
/wallets 200
/positions/add 200
/reports 200
/planning/budget 200
/planning/budget/expenses/review 200
/planning/budget/expenses/actual 200
/planning/budget/income 200
/planning/budget/transfers 200
/planning/budget/categories 200
/planning/budget/rules 200
/planning/budget/analysis/data-explorer 200
/planning/budget/analysis/categories 200
/planning/budget/analysis/monthly 200
/planning/budget/analysis/budget-vs-actual 200
/planning/budget/grocery-optimizer 200


1|import { mount } from '@vue/test-utils'
     2|import { describe, expect, it } from 'vitest'
     3|import { createRouter, createWebHistory } from 'vue-router'
     4|import App from './App.vue'
     5|
     6|describe('App', () => {
     7|  it('renders the user dashboard shell', async () => {
     8|    const router = createRouter({ history: createWebHistory(), routes: [{ path: '/', component: { template: '
Command Center
' }, meta: { title: 'Command Center' } }] })
     9|    router.push('/')
    10|    await router.isReady()
    11|    const wrapper = mount(App, { global: { plugins: [router] } })
    12|    expect(wrapper.text()).toContain('JARVIS')
    13|    expect(wrapper.text()).toContain('PrimeVue Aura Light')
    14|    expect(wrapper.text()).toContain('Lokale Finance-Ansicht')
    15|  })
    16|})
    17|


     1|import { mount } from '@vue/test-utils'
     2|import { describe, expect, it } from 'vitest'
     3|import SidebarNav from './SidebarNav.vue'
     4|
     5|const RouterLinkStub = { props: ['to'], template: '<a :href="to"><slot /></a>' }
     6|function mountNav(path = '/') {
     7|  window.history.replaceState({}, '', path)
     8|  return mount(SidebarNav, { global: { stubs: { RouterLink: RouterLinkStub } } })
     9|}
    10|
    11|describe('SidebarNav mobile bottom navigation', () => {
    12|  it('uses native iPhone-safe anchors for every primary bottom item with one-tap targets', () => {
    13|    const wrapper = mountNav('/planning/budget')
    14|    const nav = wrapper.get('[data-testid="mobile-bottom-nav"]')
    15|    expect(nav.classes().join(' ')).toContain('z-[70]')
    16|    expect(nav.classes().join(' ')).toContain('pointer-events-auto')
    17|    for (const [testId, target] of [['mobile-nav-home', '/'], ['mobile-nav-budget', '/planning/budget'], ['mobile-nav-expenses', '/planning/budget/expenses/actual'], ['mobile-nav-crypto', '/crypto'], ['mobile-nav-portfolio', '/portfolio']] as const) {
    18|      const link = wrapper.get(`[data-testid="${testId}"]`)
    19|      expect(link.element.tagName).toBe('A')
    20|      expect(link.attributes('href')).toBe(target)
    21|      expect(link.attributes('disabled')).toBeUndefined()
    22|      expect(link.classes().join(' ')).toContain('min-h-12')
    23|    }
    24|    expect(wrapper.get('[data-testid="mobile-nav-budget"]').classes()).toContain('mobile-nav-active')
    25|  })
    26|
    27|  it('opens More and exposes native anchors for the secondary routes', async () => {
    28|    const wrapper = mountNav('/crypto')
    29|    await wrapper.get('[data-testid="mobile-more-button"]').trigger('click')
    30|    const menu = wrapper.get('[data-testid="mobile-more-panel"]')
    31|    expect(menu.text()).toContain('Reports')
    32|    expect(menu.text()).toContain('Wallets')
    33|    expect(menu.text()).toContain('Einkünfte')
    34|    expect(menu.text()).toContain('Kategorien')
    35|    expect(menu.text()).toContain('Aktien/ETF & Cash')
    36|    expect(menu.text()).toContain('Buchungen prüfen')
    37|    for (const [testId, target] of [['mobile-more-reports', '/reports'], ['mobile-more-wallets', '/wallets'], ['mobile-more-income', '/planning/budget/income'], ['mobile-more-categories', '/planning/budget/categories'], ['mobile-more-equity', '/equity'], ['mobile-more-review', '/planning/budget/expenses/review']] as const) {
    38|      const link = wrapper.get(`[data-testid="${testId}"]`)
    39|      expect(link.element.tagName).toBe('A')
    40|      expect(link.attributes('href')).toBe(target)
    41|      expect(link.attributes('disabled')).toBeUndefined()
    42|      expect(link.classes().join(' ')).toContain('min-h-11')
    43|    }
    44|  })
    45|
    46|  it('provides a fullscreen iPhone fallback menu with every critical route as plain anchors', async () => {
    47|    const wrapper = mountNav('/planning/budget/expenses/actual')
    48|    await wrapper.get('[data-testid="mobile-menu-button"]').trigger('click')
    49|    const drawer = wrapper.get('[data-testid="mobile-menu-drawer"]')
    50|    expect(drawer.classes().join(' ')).toContain('z-[100]')
    51|    for (const [key, target] of [['home', '/'], ['budget', '/planning/budget'], ['expenses', '/planning/budget/expenses/actual'], ['review', '/planning/budget/expenses/review'], ['income', '/planning/budget/income'], ['crypto', '/crypto'], ['portfolio', '/portfolio'], ['equity', '/equity'], ['wallets', '/wallets'], ['reports', '/reports'], ['categories', '/planning/budget/categories']] as const) {
    52|      const link = wrapper.get(`[data-testid="mobile-menu-link-${key}"]`)
    53|      expect(link.element.tagName).toBe('A')
    54|      expect(link.attributes('href')).toBe(target)
    55|      expect(link.attributes('disabled')).toBeUndefined()
    56|      expect(link.classes().join(' ')).toContain('min-h-14')
    57|    }
    58|  })
    59|})
    60|


     1|<template><Toast /><ConfirmDialog /><AppLayout /></template>
     2|<script setup lang="ts">
     3|import Toast from 'primevue/toast'
     4|import ConfirmDialog from 'primevue/confirmdialog'
     5|import AppLayout from '@/components/AppLayout.vue'
     6|</script>
     7|


Ich setze jetzt die Navigation robust auf eine zentrale User-Nav-Konfiguration um und mache die Menülinks bewusst als native Anchors mit gültigem `href`. Das ist für Desktop, Mobile und iPhone-Fallback am wenigsten fragil; Vue Router rendert die Route beim direkten URL-Aufruf sauber. Danach erzwingt ein Smoke-Test: jeder Link existiert im Router.

Explanation:
**Investigating navigation issues**

It seems there might be a problem with the API base, so I could test that in the browser. I should create shared export data, but it feels like it might be overkill. Fixing the menu issue is another priority. I wonder if the RouterLink on the desktop isn't working properly due to native href issues.

I'm considering running tests by extracting link hrefs and evaluating fetch requests for each route. It would be easier to use browser navigation tools, but I need to implement a robust navigation solution.
**Considering navigation adjustments**

I've realized that using native hrefs causes a full page reload. For desktop, switching to RouterLink with a history fallback might be better, or even switching to plain `<a href>` links for direct opening. However, that could compromise the single-page application (SPA) experience, which I'm wondering is acceptable. This could solve my menu issues, though.

I also need to avoid duplicating navigation arrays. Creating a userNav.ts file for exporting arrays seems like a solid plan, and I should ensure the sidebar imports these correctly. I'd like to include some testing for the router to make sure everything works smoothly.

export type UserNavItem = { key: string; to: string; label: string }
export type UserNavGroup = { title: string; items: UserNavItem[] }

export const mainItems: UserNavItem[] = [
  { key: 'home', to: '/', label: 'Command Center' },
  { key: 'portfolio', to: '/portfolio', label: 'Portfolio' },
  { key: 'crypto', to: '/crypto', label: 'Crypto' },
  { key: 'equity', to: '/equity', label: 'Aktien & ETFs' },
  { key: 'wallets', to: '/wallets', label: 'Wallets' },
  { key: 'position-add', to: '/positions/add', label: 'Position hinzufügen' },
  { key: 'reports', to: '/reports', label: 'Reports' },
]

export const budgetGroups: UserNavGroup[] = [
  { title: 'Budget', items: [
    { key: 'budget-overview', to: '/planning/budget', label: 'Budget Übersicht' },
    { key: 'budget-status', to: '/planning/budget/status', label: 'Budgetstatus' },
    { key: 'budget-planning', to: '/planning/budget/planning', label: 'Budgetplanung' },
    { key: 'fixed-costs', to: '/planning/budget/fixed-costs', label: 'Fixkosten & Abos' },
    { key: 'budget-vs-actual', to: '/planning/budget/analysis/budget-vs-actual', label: 'Budget vs Ist' },
    { key: 'budget-monthly', to: '/planning/budget/monthly', label: 'Monatsbudget' },
    { key: 'budget-yearly', to: '/planning/budget/yearly', label: 'Jahresbudget' },
    { key: 'budget-plans', to: '/planning/budget/plans', label: 'Budgetpläne' },
  ] },
  { title: 'Transaktionen', items: [
    { key: 'monthly-import', to: '/planning/budget/monthly-import', label: 'Monatsimport' },
    { key: 'expenses-actual', to: '/planning/budget/expenses/actual', label: 'Effektive Ausgaben' },
    { key: 'income-actual', to: '/planning/budget/income/actual', label: 'Effektive Einnahmen' },
    { key: 'review', to: '/planning/budget/expenses/review', label: 'Buchungen prüfen' },
    { key: 'transfers', to: '/planning/budget/transfers', label: 'Transfers' },
  ] },
  { title: 'Analyse', items: [
    { key: 'data-explorer', to: '/planning/budget/analysis/data-explorer', label: 'Daten-Explorer' },
    { key: 'grocery', to: '/planning/budget/grocery-optimizer', label: 'Migros Optimizer' },
    { key: 'category-analysis', to: '/planning/budget/analysis/categories', label: 'Kategorieanalyse' },
    { key: 'monthly-analysis', to: '/planning/budget/analysis/monthly', label: 'Monatsvergleich' },
  ] },
  { title: 'Setup', items: [
    { key: 'accounts', to: '/planning/budget/accounts', label: 'Konten' },
    { key: 'categories', to: '/planning/budget/categories', label: 'Kategorien & Tags' },
    { key: 'rules', to: '/planning/budget/rules', label: 'Regeln' },
    { key: 'setup', to: '/planning/budget/setup', label: 'Excel übernehmen / Seed Review' },
  ] },
]

export const mobileItems: UserNavItem[] = [
  { key: 'home', to: '/', label: 'Home' },
  { key: 'budget', to: '/planning/budget', label: 'Budget' },
  { key: 'expenses', to: '/planning/budget/expenses/actual', label: 'Ausgaben' },
  { key: 'crypto', to: '/crypto', label: 'Crypto' },
  { key: 'portfolio', to: '/portfolio', label: 'Portfolio' },
]

export const moreItems: UserNavItem[] = [
  { key: 'reports', to: '/reports', label: 'Reports' },
  { key: 'wallets', to: '/wallets', label: 'Wallets' },
  { key: 'income', to: '/planning/budget/income', label: 'Einkünfte' },
  { key: 'categories', to: '/planning/budget/categories', label: 'Kategorien' },
  { key: 'equity', to: '/equity', label: 'Aktien/ETF & Cash' },
  { key: 'review', to: '/planning/budget/expenses/review', label: 'Buchungen prüfen' },
  { key: 'transfers', to: '/planning/budget/transfers', label: 'Transfers' },
  { key: 'budget-vs-actual', to: '/planning/budget/analysis/budget-vs-actual', label: 'Budget vs Ist' },
  { key: 'budget-planning', to: '/planning/budget/planning', label: 'Budgetplanung' },
  { key: 'fixed-costs', to: '/planning/budget/fixed-costs', label: 'Fixkosten & Abos' },
  { key: 'data-explorer', to: '/planning/budget/analysis/data-explorer', label: 'Daten-Explorer' },
  { key: 'grocery', to: '/planning/budget/grocery-optimizer', label: 'Migros Optimizer' },
]

export const allMobileMenuItems: UserNavItem[] = [
  { key: 'home', to: '/', label: 'Home' },
  { key: 'budget', to: '/planning/budget', label: 'Budget' },
  { key: 'expenses', to: '/planning/budget/expenses/actual', label: 'Ausgaben' },
  { key: 'review', to: '/planning/budget/expenses/review', label: 'Buchungen prüfen' },
  { key: 'transfers', to: '/planning/budget/transfers', label: 'Transfers' },
  { key: 'income', to: '/planning/budget/income', label: 'Einkünfte' },
  { key: 'crypto', to: '/crypto', label: 'Crypto' },
  { key: 'portfolio', to: '/portfolio', label: 'Portfolio' },
  { key: 'equity', to: '/equity', label: 'Aktien & ETFs' },
  { key: 'wallets', to: '/wallets', label: 'Wallets' },
  { key: 'reports', to: '/reports', label: 'Reports' },
  { key: 'categories', to: '/planning/budget/categories', label: 'Kategorien' },
  { key: 'rules', to: '/planning/budget/rules', label: 'Regeln' },
  { key: 'budget-planning', to: '/planning/budget/planning', label: 'Budgetplanung' },
  { key: 'fixed-costs', to: '/planning/budget/fixed-costs', label: 'Fixkosten & Abos' },
  { key: 'data-explorer', to: '/planning/budget/analysis/data-explorer', label: 'Daten-Explorer' },
  { key: 'category-analysis', to: '/planning/budget/analysis/categories', label: 'Kategorieanalyse' },
  { key: 'monthly-analysis', to: '/planning/budget/analysis/monthly', label: 'Monatsvergleich' },
  { key: 'grocery', to: '/planning/budget/grocery-optimizer', label: 'Migros Optimizer' },
]

export const allUserNavItems: UserNavItem[] = [
  ...mainItems,
  ...budgetGroups.flatMap((group) => group.items),
  ...mobileItems,
  ...moreItems,
  ...allMobileMenuItems,
]


npx not usable: This is not the tsc command you are looking for


patch

<RouterLink v-for="item in mainItems" :key="item.to" :to="item.to" class="nav-link" active-class="active-nav-link">{{ item.label }}</RouterLink>


--- a//home/agent/.hermes/repos/FinanceManager/frontend/src/components/SidebarNav.vue
+++ b//home/agent/.hermes/repos/FinanceManager/frontend/src/components/SidebarNav.vue
@@ -6,7 +6,7 @@

PrimeVue Aura Light

-      <RouterLink v-for="item in mainItems" :key="item.to" :to="item.to" class="nav-link" active-class="active-nav-link">{{ item.label }}</RouterLink>
+      {{ item.label }}
       <template v-for="group in budgetGroups" :key="group.title">

{{ group.title }}

         <RouterLink v-for="item in group.items" :key="item.to" :to="item.to" class="nav-link" active-class="active-nav-link">{{ item.label }}</RouterLink>

No linter for .vue files


<RouterLink v-for="item in group.items" :key="item.to" :to="item.to" class="nav-link" active-class="active-nav-link">{{ item.label }}</RouterLink>


--- a//home/agent/.hermes/repos/FinanceManager/frontend/src/components/SidebarNav.vue
+++ b//home/agent/.hermes/repos/FinanceManager/frontend/src/components/SidebarNav.vue
@@ -9,7 +9,7 @@
       {{ item.label }}
       <template v-for="group in budgetGroups" :key="group.title">

{{ group.title }}

-        <RouterLink v-for="item in group.items" :key="item.to" :to="item.to" class="nav-link" active-class="active-nav-link">{{ item.label }}</RouterLink>
+        {{ item.label }}
       </template>

No linter for .vue files


import { ref } from 'vue'
import { allMobileMenuItems, budgetGroups, mainItems, mobileItems, moreItems } from '@/navigation/userNav'
const moreOpen = ref(false)

import { ref } from 'vue'
const moreOpen = ref(false)


--- a//home/agent/.hermes/repos/FinanceManager/frontend/src/components/SidebarNav.vue
+++ b//home/agent/.hermes/repos/FinanceManager/frontend/src/components/SidebarNav.vue
@@ -43,6 +43,7 @@
 </template>
 <script setup lang="ts">
 import { ref } from 'vue'
+import { allMobileMenuItems, budgetGroups, mainItems, mobileItems, moreItems } from '@/navigation/userNav'
 const moreOpen = ref(false)
 const menuOpen = ref(false)
 const currentPath = ref(typeof window === 'undefined' ? '/' : window.location.pathname)

No linter for .vue files


from pathlib import Path
p=Path('/home/agent/.hermes/repos/FinanceManager/frontend/src/components/SidebarNav.vue')
s=p.read_text()
start=s.index("const mainItems = ")
end=s.index("function isActive")
s=s[:start]+s[end:]
p.write_text(s)
print('removed local nav arrays')


Output: removed local nav arrays


Jetzt schreibe ich den automatisierten Navigation-Smoke-Test: alle User-Nav-Links sind native `href`, existieren im Router, und kritische Routen rendern einen sichtbaren Header/Content-State.

import { mount, flushPromises } from '@vue/test-utils'
import { describe, expect, it } from 'vitest'
import { createRouter, createWebHistory } from 'vue-router'
import SidebarNav from '@/components/SidebarNav.vue'
import router from '@/router'
import App from '@/App.vue'
import { allMobileMenuItems, allUserNavItems, budgetGroups, mainItems, mobileItems, moreItems } from '@/navigation/userNav'

const criticalRoutes = [
  '/',
  '/portfolio',
  '/crypto',
  '/equity',
  '/wallets',
  '/positions/add',
  '/reports',
  '/planning/budget',
  '/planning/budget/expenses/review',
  '/planning/budget/expenses/actual',
  '/planning/budget/income',
  '/planning/budget/transfers',
  '/planning/budget/categories',
  '/planning/budget/rules',
  '/planning/budget/analysis/data-explorer',
  '/planning/budget/analysis/categories',
  '/planning/budget/analysis/monthly',
  '/planning/budget/analysis/budget-vs-actual',
  '/planning/budget/grocery-optimizer',
]

describe('Navigation route smoke coverage', () => {
  it('keeps every user navigation link backed by an actual router route', () => {
    const routePaths = new Set(router.getRoutes().map((route) => route.path))
    for (const item of allUserNavItems) {
      expect(item.to, `${item.label} points to a missing route`).toMatch(/^\//)
      expect(routePaths.has(item.to), `${item.label} -> ${item.to}`).toBe(true)
    }
    for (const route of criticalRoutes) expect(routePaths.has(route), route).toBe(true)
  })

  it('renders desktop, bottom, more and fullscreen fallback links as native hrefs', async () => {
    window.history.replaceState({}, '', '/planning/budget')
    const wrapper = mount(SidebarNav)
    for (const item of [...mainItems, ...budgetGroups.flatMap((group) => group.items)]) {
      const link = wrapper.find(`a[href="${item.to}"]`)
      expect(link.exists(), `desktop link ${item.to}`).toBe(true)
    }
    for (const item of mobileItems) {
      const link = wrapper.find(`[data-testid="mobile-nav-${item.key}"]`)
      expect(link.element.tagName).toBe('A')
      expect(link.attributes('href')).toBe(item.to)
    }
    await wrapper.get('[data-testid="mobile-more-button"]').trigger('click')
    for (const item of moreItems) {
      const link = wrapper.find(`[data-testid="mobile-more-${item.key}"]`)
      expect(link.element.tagName).toBe('A')
      expect(link.attributes('href')).toBe(item.to)
    }
    await wrapper.get('[data-testid="mobile-menu-button"]').trigger('click')
    for (const item of allMobileMenuItems) {
      const link = wrapper.find(`[data-testid="mobile-menu-link-${item.key}"]`)
      expect(link.element.tagName).toBe('A')
      expect(link.attributes('href')).toBe(item.to)
    }
  })

  it('can directly render critical routes with a page title or content shell', async () => {
    for (const path of criticalRoutes) {
      const testRouter = createRouter({ history: createWebHistory(), routes: router.getRoutes() })
      testRouter.push(path)
      await testRouter.isReady()
      const wrapper = mount(App, { global: { plugins: [testRouter] } })
      await flushPromises()
      expect(wrapper.get('[data-testid="app-content"]').text().length, path).toBeGreaterThan(0)
      expect(wrapper.text(), path).toContain('JARVIS')
      wrapper.unmount()
    }
  })
})


LSP diagnostics introduced by this edit:
<diagnostics file="/home/agent/.hermes/repos/FinanceManager/frontend/src/navigation/UserNavigationSmoke.test.ts">
ERROR [4:24] Cannot find module '@/components/SidebarNav.vue' or its corresponding type declarations. [2307] (typescript)
ERROR [6:17] Cannot find module '@/App.vue' or its corresponding type declarations. [2307] (typescript)
</diagnostics>


Smoke-Test steht. Ich lasse ihn laufen; falls er rot ist, behebe ich die konkrete Regression.

terminal

npm test -- --run src/navigation/UserNavigationSmoke.test.ts src/components/SidebarNav.mobile.test.ts src/App.test.ts


Output:
> jarvis-finance-dashboard-vue@0.0.0 test
> vitest run --environment jsdom --run src/navigation/UserNavigationSmoke.test.ts src/components/SidebarNav.mobile.test.ts src/App.test.ts

 RUN  v4.1.6 /home/agent/.hermes/repos/FinanceManager/frontend

 ✓ src/components/SidebarNav.mobile.test.ts (3 tests) 241ms
 ✓ src/App.test.ts (1 test) 210ms
stderr | src/navigation/UserNavigationSmoke.test.ts > Navigation route smoke coverage > can directly render critical routes with a page title or content shell
[Vue warn]: injection "Symbol()" not found.
  at <BudgetImportReviewPage onVnodeUnmounted=fn<onVnodeUnmounted> ref=Ref< undefined > >
  at <RouterView>
  at <AppLayout>
  at <App ref="VTU_COMPONENT" >
  at <VTUROOT>
[Vue warn]: Invalid vnode type when creating vnode: undefined.
  at <BudgetImportReviewPage onVnodeUnmounted=fn<onVnodeUnmounted> ref=Ref< undefined > >
  at <RouterView>
  at <AppLayout>
  at <App ref="VTU_COMPONENT" >
  at <VTUROOT>
[Vue warn]: Invalid vnode type when creating vnode: undefined.
  at <BudgetImportReviewPage onVnodeUnmounted=fn<onVnodeUnmounted> ref=Ref< undefined > >
  at <RouterView>
  at <AppLayout>
  at <App ref="VTU_COMPONENT" >
  at <VTUROOT>
[Vue warn]: Invalid vnode type when creating vnode: undefined.
  at <BudgetImportReviewPage onVnodeUnmounted=fn<onVnodeUnmounted> ref=Ref< undefined > >
  at <RouterView>
  at <AppLayout>
  at <App ref="VTU_COMPONENT" >
  at <VTUROOT>

 ❯ src/navigation/UserNavigationSmoke.test.ts (3 tests | 1 failed) 1527ms
     ✓ keeps every user navigation link backed by an actual router route 4ms
     ✓ renders desktop, bottom, more and fullscreen fallback links as native hrefs 188ms
     × can directly render critical routes with a page title or content shell 1334ms

⎯⎯⎯⎯⎯⎯⎯ Failed Tests 1 ⎯⎯⎯⎯⎯⎯⎯

 FAIL  src/navigation/UserNavigationSmoke.test.ts > Navigation route smoke coverage > can directly render critical routes with a page title or content shell
Error: No PrimeVue Toast provided!
 ❯ useToast node_modules/src/usetoast/UseToast.js:9:14
 ❯ setup src/pages/BudgetImportReviewPage.vue:97:15

 ❯ callWithErrorHandling node_modules/@vue/runtime-core/dist/runtime-core.cjs.js:200:19
 ❯ setupStatefulComponent node_modules/@vue/runtime-core/dist/runtime-core.cjs.js:8078:25
 ❯ setupComponent node_modules/@vue/runtime-core/dist/runtime-core.cjs.js:8040:36
 ❯ mountComponent node_modules/@vue/runtime-core/dist/runtime-core.cjs.js:5963:7
 ❯ processComponent node_modules/@vue/runtime-core/dist/runtime-core.cjs.js:5929:9
 ❯ patch node_modules/@vue/runtime-core/dist/runtime-core.cjs.js:5439:11
 ❯ ReactiveEffect.componentUpdateFn [as fn] node_modules/@vue/runtime-core/dist/runtime-core.cjs.js:6077:11
 ❯ ReactiveEffect.run node_modules/@vue/reactivity/dist/reactivity.cjs.js:264:19

⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯[1/1]⎯

 Test Files  1 failed | 2 passed (3)
      Tests  1 failed | 6 passed (7)
   Start at  18:06:05
   Duration  3.00s (transform 1.49s, setup 428ms, import 1.35s, tests 1.98s, environment 1.88s)


Der neue Smoke-Test ist sinnvoll rot: die Review-Seite braucht Toast/Confirm-Services im App-Mount. Das ist eine reale Testabdeckungslücke, nicht Produktionsbruch. Ich ergänze die Services im Smoke-Test und wiederhole.

Explanation:
**Considering PrimeVue functionality**

I’m thinking about whether I need to provide the PrimeVue plugin or toast functionality. I should check the existing setup and make sure I'm utilizing ToastService and ConfirmationService effectively. Additionally, it's important for me to inspect the tests to ensure everything is working as expected. I want to be thorough here so that I give the best support possible! Let’s see what the current configuration looks like.

patch

import { createRouter, createWebHistory } from 'vue-router'
import ToastService from 'primevue/toastservice'
import ConfirmationService from 'primevue/confirmationservice'
import SidebarNav from '@/components/SidebarNav.vue'

import { createRouter, createWebHistory } from 'vue-router'
import SidebarNav from '@/components/SidebarNav.vue'


--- a//home/agent/.hermes/repos/FinanceManager/frontend/src/navigation/UserNavigationSmoke.test.ts
+++ b//home/agent/.hermes/repos/FinanceManager/frontend/src/navigation/UserNavigationSmoke.test.ts
@@ -1,6 +1,8 @@
 import { mount, flushPromises } from '@vue/test-utils'
 import { describe, expect, it } from 'vitest'
 import { createRouter, createWebHistory } from 'vue-router'
+import ToastService from 'primevue/toastservice'
+import ConfirmationService from 'primevue/confirmationservice'
 import SidebarNav from '@/components/SidebarNav.vue'
 import router from '@/router'
 import App from '@/App.vue'

Output: error TS5112: tsconfig.json is present but will not be loaded if files are specified on commandline. Use '--ignoreConfig' to skip this error.

Pre-existing lint errors — this edit didn't introduce new ones but the file is still broken.


const wrapper = mount(App, { global: { plugins: [testRouter, ToastService, ConfirmationService] } })

const wrapper = mount(App, { global: { plugins: [testRouter] } })


--- a//home/agent/.hermes/repos/FinanceManager/frontend/src/navigation/UserNavigationSmoke.test.ts
+++ b//home/agent/.hermes/repos/FinanceManager/frontend/src/navigation/UserNavigationSmoke.test.ts
@@ -71,7 +71,7 @@
       const testRouter = createRouter({ history: createWebHistory(), routes: router.getRoutes() })
       testRouter.push(path)
       await testRouter.isReady()
-      const wrapper = mount(App, { global: { plugins: [testRouter] } })
+      const wrapper = mount(App, { global: { plugins: [testRouter, ToastService, ConfirmationService] } })
       await flushPromises()
       expect(wrapper.get('[data-testid="app-content"]').text().length, path).toBeGreaterThan(0)
       expect(wrapper.text(), path).toContain('JARVIS')

Output: error TS5112: tsconfig.json is present but will not be loaded if files are specified on commandline. Use '--ignoreConfig' to skip this error.

Pre-existing lint errors — this edit didn't introduce new ones but the file is still broken.


terminal

Output:
> jarvis-finance-dashboard-vue@0.0.0 test
> vitest run --environment jsdom --run src/navigation/UserNavigationSmoke.test.ts src/components/SidebarNav.mobile.test.ts src/App.test.ts

 RUN  v4.1.6 /home/agent/.hermes/repos/FinanceManager/frontend

 ✓ src/components/SidebarNav.mobile.test.ts (3 tests) 231ms
 ✓ src/App.test.ts (1 test) 183ms
 ✓ src/navigation/UserNavigationSmoke.test.ts (3 tests) 3362ms
     ✓ can directly render critical routes with a page title or content shell  3198ms

 Test Files  3 passed (3)
      Tests  7 passed (7)
   Start at  18:06:38
   Duration  4.77s (transform 1.57s, setup 492ms, import 1.30s, tests 3.78s, environment 1.84s)


Navigation-Smoke ist grün. Ich markiere Navigation-Inventar/Fix/Test als erledigt und beginne mit Providerstrategie plus MVP-Umsetzung.

Explanation:
**Evaluating app updates and tools**

I need to update App.test to use the real router, which might be optional. I should compile afterward and do some research on Provider. Since there’s no web_search namespace, I wonder about using browser or curl for searches and maybe direct APIs. I need to check if I'm online. Regarding Rappn, I could navigate there, but I want to avoid scraping—focusing on researching pages instead. Lastly, I need to look into existing price provider documentation and consider implementing audit features.

todo

Navigation Regression reproduzieren: Router/Menu-Inventar, Tailscale Browser/API-Sanity für kritische Routen

Navigation fixen: Desktop Sidebar, Mobile Bottom/Mehr/Fallback, native href/history fallback

Automatisierten Navigation Smoke-Test ergänzen und RED/GREEN verifizieren

Provider-Strategie recherchieren/bewerten: Rappn, Open Food Facts/Open Prices, FoodRepo, Pepesto, Händler direkt


Grocery Provider-Konzept + LLM-Grenzen dokumentieren und MVP-Skeleton/Link-Out/Open-Prices Spike umsetzen

Manuelle Preis-/Mapping-Erfassung mit Preview/Confirm/Audit und sichere/unsichere UI-Trennung härten

Finale Tests/Build/Scans/Git-Safety/Browser-Sanity/Commit/Push/Abschlussbericht


Ich recherchiere jetzt nur dokumentierte/öffentliche Hinweise und API-Endpunkte — keine Händler-Scrapes, keine Preisabfragen gegen Shopseiten.

Explanation:
**Researching food data sources**

I’m thinking about how to gather current facts efficiently. Should I use a browser to navigate pages or stick to known endpoints? I might utilize the Open Food Facts API documentation and check sites like prices.openfoodfacts.org. I’m considering whether scraping is necessary, or if I can just go straight for the API. Using the terminal with a curl command could help me explore these options effectively. Sounds like a solid plan!

from hermes_tools import terminal
urls = [
 'https://rappn.ch',
 'https://world.openfoodfacts.org/data',
 'https://prices.openfoodfacts.org/api/docs',
 'https://prices.openfoodfacts.org/api/v1/prices?size=1',
 'https://world.openfoodfacts.org/api/v2/search?categories_tags_en=milk&page_size=1&fields=code,product_name,brands,countries_tags',
 'https://www.foodrepo.org/api-docs',
 'https://www.foodrepo.org',
 'https://www.pepesto.com',
]
script='''
set -euo pipefail
for u in "$@"; do
  code=$(curl -L -sS -o /tmp/research_body -w '%{http_code}' --max-time 15 -A 'JarvisFinanceResearch/1.0' "$u" || true)
  bytes=$(wc -c </tmp/research_body 2>/dev/null || echo 0)
  title=$(python - <<'PY'
from pathlib import Path
import re
text=Path('/tmp/research_body').read_text(errors='ignore')[:5000]
m=re.search(r'<title[^>]*>(.*?)</title>', text, re.I|re.S)
print(re.sub(r'\\s+',' ',m.group(1)).strip()[:120] if m else '')
PY
)
  echo "$u|$code|$bytes|$title"
done
'''
cmd='bash -s -- ' + ' '.join([__import__('shlex').quote(u) for u in urls]) + ' <<\'SH\'\n' + script + '\nSH'
print(terminal(cmd, workdir='/home/agent/.hermes/repos/FinanceManager', timeout=120)['output'])


Output:
https://rappn.ch|200|521195|Rappn: The Swiss Grocery App | Compare Prices, Plan & Save
https://world.openfoodfacts.org/data|200|55276|
https://prices.openfoodfacts.org/api/docs|200|4668|Open Food Facts open-prices REST API
https://prices.openfoodfacts.org/api/v1/prices?size=1|200|2547|
https://world.openfoodfacts.org/api/v2/search?categories_tags_en=milk&page_size=1&fields=code,product_name,brands,countries_tags|503|25281|Page temporarily unavailable - Open Food Facts
https://www.foodrepo.org/api-docs|404|366|Redirecting to Open Food Facts
https://www.foodrepo.org|200|366|Redirecting to Open Food Facts
https://www.pepesto.com|200|21434|Pepesto — European Grocery API & AI Shopping Infrastructure | Pepesto


from hermes_tools import terminal
script=r'''
set -euo pipefail
curl -L -sS --max-time 15 -A 'JarvisFinanceResearch/1.0' https://rappn.ch -o /tmp/rappn.html
python - <<'PY'
from pathlib import Path
import re
text=Path('/tmp/rappn.html').read_text(errors='ignore')
for pat in ['api','terms','privacy','contact','compare prices','grocery']:
    print(pat, text.lower().count(pat))
links=sorted(set(re.findall(r'href=["\']([^"\']+)["\']', text)))
for l in links[:80]:
    if any(k in l.lower() for k in ['api','terms','privacy','contact','impress','legal']): print('link', l)
PY
curl -L -sS --max-time 15 -A 'JarvisFinanceResearch/1.0' https://prices.openfoodfacts.org/api/v1/prices?size=1 | python -m json.tool | head -80
'''
print(terminal(script, workdir='/home/agent/.hermes/repos/FinanceManager', timeout=120)['output'])


Output:
api 4
terms 4
privacy 22
contact 27
compare prices 25
grocery 144
link /documents/en/privacy-policy.pdf
link /documents/en/terms-of-service.pdf
link /en/contact
link https://api.rappn.ch
{
    "items": [
        {
            "id": 1,
            "product_id": 1,
            "location_id": 1,
            "proof_id": 9880,
            "product": {
                "id": 1,
                "code": "1541513213246",
                "source": null,
                "source_last_synced": null,
                "product_name": null,
                "image_url": null,
                "product_quantity": null,
                "product_quantity_unit": null,
                "quantity": null,
                "categories_tags": [],
                "brands": null,
                "brands_tags": [],
                "labels_tags": [],
                "nutriscore_grade": null,
                "ecoscore_grade": null,
                "nova_group": null,
                "creator": null,
                "unique_scans_n": 0,
                "price_count": 3,
                "price_currency_count": 1,
                "location_count": 1,
                "location_type_osm_country_count": 1,
                "user_count": 1,
                "proof_count": 3,
                "created": "2023-11-27T11:37:14.015774Z",
                "updated": null
            },
            "location": {
                "id": 1,
                "osm_brand_logo_url": null,
                "type": "OSM",
                "osm_id": 1392117416,
                "osm_type": "NODE",
                "osm_name": "L'\u00c9l\u00e9f\u00e0n",
                "osm_display_name": "L'\u00c9l\u00e9f\u00e0n, 32, Avenue Marcelin Berthelot, Capuche, Secteur 4, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38100, France",
                "osm_tag_key": "shop",
                "osm_tag_value": "supermarket",
                "osm_brand": null,
                "osm_address_postcode": "38100",
                "osm_address_city": "Grenoble",
                "osm_address_country": "France",
                "osm_address_country_code": "FR",
                "osm_lat": 45.1750672,
                "osm_lon": 5.7304083,
                "osm_version": 20,
                "website_url": null,
                "price_count": 4012,
                "user_count": 4,
                "product_count": 2126,
                "proof_count": 83,
                "source": null,
                "created": "2023-11-27T11:37:14.059085Z",
                "updated": "2024-09-02T17:25:19.151270Z"
            },
            "proof": {
                "id": 9880,
                "location_id": 1,
                "file_path": "0011/tWmES5a1ck.png",
                "mimetype": "image/png",
                "type": "SHOP_IMPORT",
                "image_md5_hash": "3d1f8ce8e5c684fc8f1824d8ab2b55a2",
                "image_thumb_path": "0011/tWmES5a1ck.400.png",
                "location_osm_id": 1392117416,
                "location_osm_type": "NODE",
                "date": "2023-11-27",
                "currency": "EUR",
                "receipt_price_count": null,
                "receipt_price_total": null,
                "receipt_online_delivery_costs": null,
                "ready_for_price_tag_validation": false,
                "owner_consumption": null,
                "owner_comment": null,


from hermes_tools import terminal
script=r'''
for u in https://api.rappn.ch https://api.rappn.ch/docs https://api.rappn.ch/openapi.json; do
  code=$(curl -L -sS -o /tmp/rappn_api -w '%{http_code}' --max-time 15 -A 'JarvisFinanceResearch/1.0' "$u" || true)
  bytes=$(wc -c </tmp/rappn_api 2>/dev/null || echo 0)
  head=$(python - <<'PY'
from pathlib import Path
text=Path('/tmp/rappn_api').read_text(errors='ignore')[:180]
print(' '.join(text.split()))
PY
)
  echo "$u|$code|$bytes|$head"
done
'''
print(terminal(script, workdir='/home/agent/.hermes/repos/FinanceManager', timeout=120)['output'])


Output:
https://api.rappn.ch|403|0|
https://api.rappn.ch/docs|500|48|{"message":"Something went wrong.","status":500}
https://api.rappn.ch/openapi.json|403|0|


Explanation:
**Implementing code structure**

I'm considering the implementation of the code. It looks like I could start with the documentation and include link-outs to Rappn and the Open Prices provider skeleton. However, it seems that the manual price preview, confirmation, and audit process might be more complicated. I should also take a closer look at the budget router endpoints to ensure everything connects properly. This requires a careful approach to ensure I get it right!


   140|)
   141|from jarvis_finance.services.budget_transactions import (
   142|    confirm_budget_transaction,
   143|    confirm_reverse_budget_transaction,
   144|    confirm_transfer,
   145|    create_budget_transaction_preview,
   146|    create_transfer_preview,
   147|    list_budget_transactions,
   148|    list_budget_transfers,
   149|    reverse_budget_transaction_preview,
   150|    update_budget_transaction,
   151|)
   152|
   153|router = APIRouter(prefix="/budget", tags=["budget"])
   154|
   155|
   156|@router.get("/grocery-optimizer/dashboard")
   157|def grocery_optimizer_dashboard(conn: Connection = Depends(get_db)):
   158|    return get_grocery_optimizer_dashboard(conn)
   159|
   160|
   161|@router.post("/grocery-optimizer/demo-receipt")
   162|def grocery_optimizer_demo_receipt(payload: dict, conn: Connection = Depends(get_db)):
   163|    return add_demo_migros_receipt(conn, purchase_date=payload.get("purchase_date") or "2026-05-19", store_name=payload.get("store_name") or "Migros", items=payload.get("items") or [])
   164|
   165|
   166|@router.post("/grocery-optimizer/matches")
   167|def grocery_optimizer_match(payload: dict, conn: Connection = Depends(get_db)):
   168|    return upsert_product_match(conn, payload["product_item_id"], retailer=payload["retailer"], candidate_product_name=payload["candidate_product_name"], candidate_url=payload.get("candidate_url") or "https://example.invalid/review", candidate_price_text=payload["candidate_price_text"], candidate_unit_price_text=payload.get("candidate_unit_price_text"), quality_flags=payload.get("quality_flags") or ["needs_review"], match_confidence=payload.get("match_confidence") or "0.60", status=payload.get("status") or "suggested", source=payload.get("source") or "manual")
   169|
   170|
   171|@router.post("/grocery-optimizer/matches/{match_id}/accept")
   172|def grocery_optimizer_accept_match(match_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):
   173|    payload = payload or {}
   174|    return accept_grocery_product_match(conn, match_id, user_note=payload.get("user_note"), save_as_preferred=bool(payload.get("save_as_preferred", True)))
   175|
   176|
   177|@router.post("/grocery-optimizer/matches/{match_id}/reject")
   178|def grocery_optimizer_reject_match(match_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):
   179|    return reject_grocery_product_match(conn, match_id, user_note=(payload or {}).get("user_note"))
   180|
   181|
   182|@router.post("/grocery-optimizer/manual-mapping")
   183|def grocery_optimizer_manual_mapping(payload: dict, conn: Connection = Depends(get_db)):
   184|    return create_manual_grocery_mapping(conn, product_item_id=payload["product_item_id"], target_retailer=payload["target_retailer"], target_product_name=payload["target_product_name"], target_product_url=payload["target_product_url"], target_brand=payload.get("target_brand"), target_package_size=payload.get("target_package_size"), target_unit=payload.get("target_unit"), match_type=payload.get("match_type") or "manual_match", candidate_price_text=payload.get("candidate_price_text"), candidate_unit_price_text=payload.get("candidate_unit_price_text"), user_note=payload.get("user_note"))
   185|
   186|
   187|@router.post("/grocery-optimizer/mappings/{mapping_id}/refresh-price")
   188|def grocery_optimizer_refresh_mapping_price(mapping_id: str, conn: Connection = Depends(get_db)):
   189|    return refresh_grocery_mapping_price(conn, mapping_id)
   190|
   191|
   192|@router.post("/grocery-optimizer/optimize")
   193|def grocery_optimizer_run(payload: dict, conn: Connection = Depends(get_db)):
   194|    return run_grocery_optimization(conn, payload["receipt_id"], selected_retailers=payload.get("selected_retailers") or ["Coop", "Aldi Suisse", "Lidl", "Denner", "Otto's"], max_store_count=int(payload.get("max_store_count") or 3), included_product_item_ids=payload.get("included_product_item_ids"))
   195|
   196|
   197|@router.post("/grocery-optimizer/search-prices")
   198|def grocery_optimizer_search_prices(payload: dict, conn: Connection = Depends(get_db)):
   199|    retailers = (payload.get("retailers") or ["Coop"])[: int(payload.get("max_retailers") or 3)]
   200|    providers = [provider_for_retailer(retailer) for retailer in retailers]
   201|    return search_and_store_product_matches(
   202|        conn,
   203|        payload["receipt_id"],
   204|        providers=providers,
   205|        included_product_item_ids=payload.get("included_product_item_ids"),
   206|        max_products=int(payload.get("max_products") or 5),
   207|        use_cache=bool(payload.get("use_cache", True)),
   208|        only_safe_matches=bool(payload.get("only_safe_matches", True)),
   209|        prefer_known_mappings=bool(payload.get("prefer_known_mappings", True)),
   210|    )
   211|
   212|
   213|@router.post("/grocery-optimizer/report")
   214|def grocery_optimizer_report(payload: dict, conn: Connection = Depends(get_db)):
   215|    return generate_grocery_optimization_report(conn, payload["run_id"])
   216|
   217|
   218|@router.get("/monthly-import/dashboard")
   219|def monthly_import_dashboard(conn: Connection = Depends(get_db)):
   220|    return get_monthly_import_dashboard(conn)
   221|
   222|
   223|@router.get("/monthly-import/history")
   224|def monthly_import_history(limit: int = 30, conn: Connection = Depends(get_db)):
   225|    return get_import_history(conn, limit=limit)
   226|
   227|
   228|@router.post("/monthly-import/drive-scan")
   229|def monthly_import_drive_scan(payload: dict | None = None, conn: Connection = Depends(get_db)):
   230|    files = (payload or {}).get("files")
   231|    return scan_budget_drive_files(files) if files is not None else scan_google_drive_budget_folder()
   232|
   233|
   234|@router.post("/monthly-import/dry-run")
   235|def monthly_import_dry_run(payload: dict, conn: Connection = Depends(get_db)):
   236|    return run_monthly_import_dry_run(conn, payload.get("files") or [], default_category_id=payload.get("default_category_id"), income_category_id=payload.get("income_category_id"))
   237|
   238|
   239|@router.post("/monthly-import/confirm-candidates")
   240|def monthly_import_confirm_candidates(payload: dict, conn: Connection = Depends(get_db)):
   241|    return preview_drive_monthly_import(conn, payload.get("files") or [], dry_run=False, default_category_id=payload.get("default_category_id"), income_category_id=payload.get("income_category_id"))
   242|
   243|
   244|@router.get("/rules/suggestions")
   245|def budget_rule_suggestions(status: str | None = None, conn: Connection = Depends(get_db)):
   246|    return list_rule_suggestions(conn, status=status)
   247|
   248|
   249|@router.post("/rules/suggestions/{suggestion_id}/apply")
   250|def budget_rule_suggestion_apply(suggestion_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):
   251|    return apply_rule_suggestion(conn, suggestion_id, apply_to_open=bool((payload or {}).get("apply_to_open")))
   252|
   253|
   254|@router.post("/rules/suggestions/{suggestion_id}/reject")
   255|def budget_rule_suggestion_reject(suggestion_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):
   256|    return reject_rule_suggestion(conn, suggestion_id, later=bool((payload or {}).get("later")))
   257|
   258|
   259|@router.get("/planning/matrix")
   260|def budget_planning_matrix(year: str = "2026", current_month: str | None = None, conn: Connection = Depends(get_db)):
   261|    return get_budget_planning_matrix(conn, year=year, current_month=current_month)
   262|
   263|
   264|@router.post("/planning/categories/{category_id}/preview")
   265|def budget_planning_category_preview(category_id: str, payload: dict, conn: Connection = Depends(get_db)):
   266|    return preview_category_budget_values(conn, category_id, payload)
   267|
   268|
   269|@router.post("/planning/categories/{category_id}/confirm")
   270|def budget_planning_category_confirm(category_id: str, payload: dict, conn: Connection = Depends(get_db)):
   271|    return confirm_category_budget_values(conn, category_id, payload)
   272|
   273|
   274|@router.get("/planning/categories/{category_id}/audit")
   275|def budget_planning_category_audit(category_id: str, limit: int = 25, conn: Connection = Depends(get_db)):
   276|    return get_budget_planning_audit_timeline(conn, category_id, limit=limit)
   277|
   278|
   279|@router.post("/planning/batch/preview")
   280|def budget_planning_batch_preview(payload: dict, conn: Connection = Depends(get_db)):
   281|    return preview_budget_planning_batch(conn, payload)
   282|
   283|
   284|@router.post("/planning/batch/confirm")
   285|def budget_planning_batch_confirm(payload: dict, conn: Connection = Depends(get_db)):
   286|    return confirm_budget_planning_batch(conn, payload)
   287|
   288|
   289|@router.post("/planning/excel-template/preview")
   290|def budget_planning_excel_template_preview(payload: dict | None = None, conn: Connection = Depends(get_db)):
   291|    return preview_budget_planning_excel_template(conn, payload or {})
   292|
   293|
   294|@router.get("/recurring")
   295|def recurring_dashboard(today: str | None = None, conn: Connection = Depends(get_db)):
   296|    return get_recurring_dashboard(conn, today=today)
   297|
   298|
   299|@router.post("/recurring/detect")
   300|def recurring_detect(payload: dict | None = None, conn: Connection = Depends(get_db)):
   301|    return detect_recurring_payment_candidates(conn, today=(payload or {}).get("today"))
   302|
   303|
   304|@router.post("/recurring/manual/preview")
   305|def recurring_manual_preview(payload: dict, conn: Connection = Depends(get_db)):
   306|    return preview_manual_recurring_payment(conn, payload)
   307|
   308|
   309|@router.post("/recurring/manual/confirm")
   310|def recurring_manual_confirm(payload: dict, conn: Connection = Depends(get_db)):
   311|    return confirm_manual_recurring_payment(conn, payload)
   312|
   313|
   314|@router.post("/recurring/candidates/{candidate_id}/preview")
   315|def recurring_candidate_preview(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):
   316|    return preview_recurring_candidate_action(conn, candidate_id, payload)
   317|
   318|
   319|@router.post("/recurring/candidates/{candidate_id}/confirm")
   320|def recurring_candidate_confirm(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):
   321|    body = dict(payload); body.setdefault("candidate_id", candidate_id)
   322|    return confirm_recurring_candidate_action(conn, body)
   323|
   324|
   325|@router.post("/recurring/{recurring_id}/archive")
   326|def recurring_archive(recurring_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):
   327|    return archive_recurring_payment(conn, recurring_id, payload or {})
   328|
   329|
   330|@router.get("/dashboard/cockpit")
   331|def dashboard_cockpit(month: str = "2026-05", conn: Connection = Depends(get_db)):
   332|    return get_budget_dashboard_cockpit(conn, month=month)
   333|
   334|
   335|@router.get("/analysis/budget-vs-actual")
   336|def budget_vs_actual_analysis(year: str = "2026", conn: Connection = Depends(get_db)):
   337|    return get_budget_vs_actual_analysis(conn, year=year)
   338|
   339|
   340|@router.get("/overview")
   341|def overview(month: str | None = None, conn: Connection = Depends(get_db)):
   342|    return get_budget_overview(conn, month)
   343|
   344|
   345|@router.get("/status/categories")
   346|def category_budget_status(year: str = "2026", conn: Connection = Depends(get_db)):
   347|    return get_budget_status_by_category(conn, year=year)
   348|
   349|
   350|@router.get("/status/categories/{category_id}/months/{month}")
   351|def category_month_detail(category_id: str, month: str, conn: Connection = Depends(get_db)):
   352|    return get_category_month_detail(conn, category_id=category_id, month=month)
   353|
   354|
   355|@router.get("/charts")
   356|def budget_charts(year: str = "2026", conn: Connection = Depends(get_db)):
   357|    return get_budget_charts_2026(conn, year=year)
   358|
   359|
   360|@router.get("/analysis/categories")
   361|def category_analysis(year: str = "2026", month: str | None = None, tx_type: str = "expense", conn: Connection = Depends(get_db)):
   362|    return get_category_analysis_v2(conn, year=year, month=month, tx_type=tx_type)
   363|
   364|
   365|@router.get("/analysis/data-explorer")
   366|def data_explorer(
   367|    year: str = "2026",
   368|    month: str = "",
   369|    date_from: str = "",
   370|    date_to: str = "",
   371|    type: str = "both",
   372|    category_id: str = "",
   373|    merchant: str = "",
   374|    account_id: str = "",
   375|    source_type: str = "",
   376|    tag: str = "",
   377|    amount_min: str = "",
   378|    amount_max: str = "",
   379|    search: str = "",
   380|    recurring_type: str = "",
   381|    conn: Connection = Depends(get_db),
   382|):
   383|    return get_budget_data_explorer(conn, year=year, month=month, date_from=date_from, date_to=date_to, type=type, category_id=category_id, merchant=merchant, account_id=account_id, source_type=source_type, tag=tag, amount_min=amount_min, amount_max=amount_max, search=search, recurring_type=recurring_type)
   384|
   385|
   386|@router.get("/analysis/merchants")
   387|def merchant_analysis(year: str = "2026", month: str = "", merchant: str = "", type: str = "expense", conn: Connection = Depends(get_db)):
   388|    return get_merchant_analysis(conn, year=year, month=month, merchant=merchant, type=type)
   389|
   390|
   391|@router.get("/analysis/budget-deviations")
   392|def budget_deviation_analysis(year: str = "2026", conn: Connection = Depends(get_db)):
   393|    return get_budget_deviation_analysis(conn, year=year)
   394|
   395|
   396|@router.get("/analysis/monthly-comparison")
   397|def monthly_comparison(year: str = "2026", conn: Connection = Depends(get_db)):
   398|    return get_monthly_comparison(conn, year=year)
   399|
   400|

Use offset=400 to continue reading (showing 140-399 of 898 lines)


Explanation:
**Considering backend implementation**

I think I need to focus on implementing the backend. One question I have is whether I should make the schema capable of supporting audits. Maybe I should consider using something like an audit log? I'll look into that next. It seems like having an audit trail could be really useful, but I’m not entirely sure how best to implement it yet. Let's explore this and figure out the best approach!


Explanation:
**Considering audit planning**

I’m thinking about potentially planning an audit, and I'm wondering if we should add a table for that. Maybe we need to handle schema migration to 3.5? It might be easier to create an audit event table, like grocery_mapping_audit_events. And, of course, we need to set up tests for everything. I should also consider a manual preview and confirmation process while inspecting the current migrations. There's a lot to think about!


     1|from __future__ import annotations
     2|
     3|import hashlib
     4|from datetime import datetime, timezone
     5|from sqlite3 import Connection
     6|
     7|from .schema import INITIAL_SCHEMA_SQL
     8|
     9|MIGRATION_VERSION = 34
    10|MIGRATION_NAME = "034_grocery_matching_review_learning_v2"
    11|
    12|INSTRUMENT_OPTIONAL_COLUMNS = {
    13|    "position_category": "TEXT",
    14|    "ter": "TEXT",
    15|    "distribution_policy": "TEXT",
    16|    "index_name": "TEXT",
    17|    "fund_domicile": "TEXT",
    18|    "benchmark": "TEXT",
    19|    "is_currency_hedged": "INTEGER NOT NULL DEFAULT 0",
    20|    "hedged_to_currency": "TEXT",
    21|    "hedge_status": "TEXT NOT NULL DEFAULT 'unknown'",
    22|    "base_exposure_currency": "TEXT",
    23|    "trading_currency": "TEXT",
    24|    "instrument_status": "TEXT NOT NULL DEFAULT 'unknown'",
    25|    "valuation_policy": "TEXT NOT NULL DEFAULT 'live_price'",
    26|    "corporate_action_status": "TEXT NOT NULL DEFAULT 'not_checked'",
    27|    "split_or_corporate_action_review_required": "INTEGER NOT NULL DEFAULT 0",
    28|}
    29|
    30|CATALOG_OPTIONAL_COLUMNS = {
    31|    "last_price": "TEXT",
    32|    "price_currency": "TEXT",
    33|    "price_date": "TEXT",
    34|    "price_source": "TEXT",
    35|    "exchange_name": "TEXT",
    36|    "mic": "TEXT",
    37|    "security_type": "TEXT",
    38|}
    39|
    40|TEXT_AFFINITY_COLUMNS = {
    41|    "transactions": {"quantity", "price_original", "gross_amount_original", "fee_original", "tax_original", "net_amount_original", "fx_rate_to_chf", "gross_amount_chf", "fee_chf", "tax_chf", "net_amount_chf"},
    42|    "crypto_holdings": {"quantity", "legacy_snapshot_value_original", "legacy_snapshot_value_chf"},
    43|    "crypto_transactions": {"quantity", "price_original", "gross_amount_original", "fee_quantity", "fee_original", "fx_rate_to_chf", "amount_chf"},
    44|    "crypto_prices": {"price", "market_cap", "volume_24h", "change_24h_pct"},
    45|    "fx_rates": {"rate"},
    46|    "market_prices": {"open", "high", "low", "close", "adjusted_close"},
    47|}
    48|
    49|
    50|def utc_now() -> str:
    51|    return datetime.now(timezone.utc).isoformat()
    52|
    53|
    54|def checksum_sql(sql: str) -> str:
    55|    return hashlib.sha256(sql.encode("utf-8")).hexdigest()
    56|
    57|
    58|def get_schema_version(conn: Connection) -> int:
    59|    row = conn.execute("SELECT MAX(version) AS version FROM schema_migrations").fetchone()
    60|    return int(row["version"] or 0) if row else 0
    61|
    62|
    63|def _table_columns(conn: Connection, table: str) -> dict[str, str]:
    64|    return {row["name"]: (row["type"] or "") for row in conn.execute(f"PRAGMA table_info({table})").fetchall()}
    65|
    66|
    67|def _add_missing_instrument_columns(conn: Connection) -> None:
    68|    existing = _table_columns(conn, "instruments")
    69|    for name, col_type in INSTRUMENT_OPTIONAL_COLUMNS.items():
    70|        if name not in existing:
    71|            conn.execute(f"ALTER TABLE instruments ADD COLUMN {name} {col_type}")
    72|
    73|
    74|def _rebuild_table_with_text_columns(conn: Connection, table: str, text_columns: set[str]) -> None:
    75|    cols = conn.execute(f"PRAGMA table_info({table})").fetchall()
    76|    if not cols:
    77|        return
    78|    needs_rebuild = any(row["name"] in text_columns and (row["type"] or "").upper() != "TEXT" for row in cols)
    79|    if not needs_rebuild:
    80|        return
    81|    tmp = f"{table}__text_migration"
    82|    col_defs: list[str] = []
    83|    pk_cols = [row["name"] for row in cols if row["pk"]]
    84|    for row in cols:
    85|        name = row["name"]
    86|        col_type = "TEXT" if name in text_columns else (row["type"] or "TEXT")
    87|        parts = [name, col_type]
    88|        if row["pk"] and len(pk_cols) == 1:
    89|            parts.append("PRIMARY KEY")
    90|        if row["notnull"]:
    91|            parts.append("NOT NULL")
    92|        if row["dflt_value"] is not None:
    93|            parts.append(f"DEFAULT {row['dflt_value']}")
    94|        col_defs.append(" ".join(parts))
    95|    if len(pk_cols) > 1:
    96|        col_defs.append("PRIMARY KEY (" + ", ".join(pk_cols) + ")")
    97|    conn.execute(f"DROP TABLE IF EXISTS {tmp}")
    98|    conn.execute(f"CREATE TABLE {tmp} (" + ", ".join(col_defs) + ")")
    99|    names = [row["name"] for row in cols]
   100|    select_exprs = [f"CAST({name} AS TEXT)" if name in text_columns else name for name in names]
   101|    conn.execute(f"INSERT INTO {tmp} ({', '.join(names)}) SELECT {', '.join(select_exprs)} FROM {table}")
   102|    conn.execute(f"DROP TABLE {table}")
   103|    conn.execute(f"ALTER TABLE {tmp} RENAME TO {table}")
   104|    if table == "crypto_holdings":
   105|        conn.execute("CREATE UNIQUE INDEX IF NOT EXISTS idx_crypto_holdings_asset_wallet ON crypto_holdings(asset_id, wallet_id)")
   106|
   107|
   108|def _add_missing_columns(conn: Connection, table: str, columns: dict[str, str]) -> None:
   109|    existing = _table_columns(conn, table)
   110|    for name, col_type in columns.items():
   111|        if name not in existing:
   112|            conn.execute(f"ALTER TABLE {table} ADD COLUMN {name} {col_type}")
   113|
   114|
   115|def _create_broker_bank_mapping_tables(conn: Connection) -> None:
   116|    conn.executescript(
   117|        """
   118|        CREATE TABLE IF NOT EXISTS instrument_mappings (
   119|            mapping_id TEXT PRIMARY KEY,
   120|            source_name TEXT,
   121|

Use offset=121 to continue reading (showing 1-120 of 1417 lines)


def _create_grocery_matching_learning_v2_tables(conn: Connection) -> None:

conn.executescript(

CREATE TABLE IF NOT EXISTS grocery_product_mappings (

mapping_id TEXT PRIMARY KEY,

source_product_normalized_name TEXT NOT NULL,

source_product_raw_name TEXT,

updated_at TEXT NOT NULL,

last_price_checked_at TEXT

CREATE INDEX IF NOT EXISTS idx_grocery_mappings_source ON grocery_product_mappings(source_product_normalized_name, source_retailer, status);

CREATE INDEX IF NOT EXISTS idx_grocery_mappings_target ON grocery_product_mappings(target_retailer, target_product_url, status);


  1320|    existing = _table_columns(conn, "grocery_product_details_cache")
  1321|    columns = {
  1322|        "brand": "TEXT",
  1323|        "image_url": "TEXT",
  1324|        "price_decimal_text": "TEXT",
  1325|        "currency": "TEXT NOT NULL DEFAULT 'CHF'",
  1326|        "unit": "TEXT",
  1327|        "unit_price_decimal_text": "TEXT",
  1328|        "availability_status": "TEXT",
  1329|        "promotion_text": "TEXT",
  1330|        "source": "TEXT NOT NULL DEFAULT 'cache'",
  1331|        "confidence": "TEXT NOT NULL DEFAULT '0'",
  1332|        "quality_flags_json": "TEXT NOT NULL DEFAULT '[]'",
  1333|        "raw_result_json": "TEXT NOT NULL DEFAULT '{}'",
  1334|    }
  1335|    for name, col_type in columns.items():
  1336|        if name not in existing:
  1337|            conn.execute(f"ALTER TABLE grocery_product_details_cache ADD COLUMN {name} {col_type}")
  1338|
  1339|
  1340|def _create_grocery_matching_learning_v2_tables(conn: Connection) -> None:
  1341|    conn.executescript(
  1342|        """
  1343|        CREATE TABLE IF NOT EXISTS grocery_product_mappings (
  1344|            mapping_id TEXT PRIMARY KEY,
  1345|            source_product_normalized_name TEXT NOT NULL,
  1346|            source_product_raw_name TEXT,
  1347|            source_retailer TEXT NOT NULL DEFAULT 'Migros',
  1348|            target_retailer TEXT NOT NULL,
  1349|            target_product_name TEXT NOT NULL,
  1350|            target_product_url TEXT NOT NULL,
  1351|            target_brand TEXT,
  1352|            target_package_size TEXT,
  1353|            target_unit TEXT,
  1354|            target_price_text TEXT,
  1355|            target_unit_price_text TEXT,
  1356|            price_currency TEXT NOT NULL DEFAULT 'CHF',
  1357|            match_type TEXT NOT NULL,
  1358|            status TEXT NOT NULL DEFAULT 'needs_review',
  1359|            confidence TEXT NOT NULL DEFAULT '0',
  1360|            user_note TEXT,
  1361|            source_match_id TEXT,
  1362|            quality_flags_json TEXT NOT NULL DEFAULT '[]',
  1363|            health_analysis_status TEXT NOT NULL DEFAULT 'prepared_not_run',
  1364|            health_flags_json TEXT NOT NULL DEFAULT '{}',
  1365|            health_notes TEXT,
  1366|            created_at TEXT NOT NULL,
  1367|            updated_at TEXT NOT NULL,
  1368|            last_price_checked_at TEXT
  1369|        );
  1370|        CREATE INDEX IF NOT EXISTS idx_grocery_mappings_source ON grocery_product_mappings(source_product_normalized_name, source_retailer, status);
  1371|        CREATE INDEX IF NOT EXISTS idx_grocery_mappings_target ON grocery_product_mappings(target_retailer, target_product_url, status);
  1372|        """
  1373|    )
  1374|
  1375|
  1376|def _apply_compat_migrations(conn: Connection) -> None:
  1377|    _add_missing_instrument_columns(conn)
  1378|    for table, text_columns in TEXT_AFFINITY_COLUMNS.items():
  1379|        _rebuild_table_with_text_columns(conn, table, text_columns)
  1380|    _create_broker_bank_mapping_tables(conn)
  1381|    _create_broker_import_review_items(conn)
  1382|    _create_broker_import_execution_plans(conn)
  1383|    _add_transaction_void_columns(conn)
  1384|    _create_fx_market_data_tables(conn)
  1385|    _create_instrument_import_candidates(conn)
  1386|    _create_budget_phase1_tables(conn)
  1387|    _create_budget_phase11_tables(conn)
  1388|    _create_budget_phase14_tables(conn)
  1389|    _create_budget_phase15_tables(conn)
  1390|    _create_budget_phase18_tables(conn)
  1391|    _create_budget_phase19_tables(conn)
  1392|    _create_budget_import_production_v1_tables(conn)
  1393|    _create_budget_categories_ux_fix_tables(conn)
  1394|    _create_budget_planning_forecast_v1_tables(conn)
  1395|    _create_budget_fixed_costs_subscriptions_v1_tables(conn)
  1396|    _create_budget_monthly_import_rule_learning_v1_tables(conn)
  1397|    _create_grocery_optimizer_v1_tables(conn)
  1398|    _add_grocery_price_provider_v1_columns(conn)
  1399|    _create_grocery_matching_learning_v2_tables(conn)
  1400|
  1401|
  1402|def apply_migrations(conn: Connection) -> None:
  1403|    conn.executescript(INITIAL_SCHEMA_SQL)
  1404|    existing_initial = conn.execute("SELECT 1 FROM schema_migrations WHERE version = 1").fetchone()
  1405|    if not existing_initial:
  1406|        conn.execute(
  1407|            "INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)",
  1408|            (1, "001_initial_schema", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),
  1409|        )
  1410|    _apply_compat_migrations(conn)
  1411|    existing = conn.execute("SELECT 1 FROM schema_migrations WHERE version = ?", (MIGRATION_VERSION,)).fetchone()
  1412|    if not existing:
  1413|        conn.execute(
  1414|            "INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)",
  1415|            (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),
  1416|        )
  1417|    conn.commit()
  1418|


Ich implementiere jetzt minimal, aber sauber: Schema v35 mit manuellen Preisquellen/-datum und Grocery-Audit; Preview/Confirm-Funktionen; Rappn-Link-Out; Open Prices Spike als kontrollierte offene Datenquelle, aber nicht als sichere Ersparnis ohne vollständige Felder.

Explanation:
**Calculating unit price**

I need to compute the unit price based on package size and price. It seems like I might use a payload with a preview_id but without a persistent preview store. I should confirm it takes the preview payload. There’s also an audit table insert to consider, and I need to update the router, API, and frontend. The UI already has a direct save feature, so maybe I’ll make a saveManualMapping call with preview and then confirm? I'll also look into adding extra fields in the UI and inspecting the API client.

patch

MIGRATION_VERSION = 35
MIGRATION_NAME = "035_navigation_and_grocery_price_strategy"

MIGRATION_VERSION = 34
MIGRATION_NAME = "034_grocery_matching_review_learning_v2"


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py
@@ -6,8 +6,8 @@

 from .schema import INITIAL_SCHEMA_SQL

-MIGRATION_VERSION = 34
-MIGRATION_NAME = "034_grocery_matching_review_learning_v2"
+MIGRATION_VERSION = 35
+MIGRATION_NAME = "035_navigation_and_grocery_price_strategy"

 INSTRUMENT_OPTIONAL_COLUMNS = {
     "position_category": "TEXT",

/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.


        CREATE INDEX IF NOT EXISTS idx_grocery_mappings_target ON grocery_product_mappings(target_retailer, target_product_url, status);
        CREATE TABLE IF NOT EXISTS grocery_mapping_audit_events (
            audit_id TEXT PRIMARY KEY,
            mapping_id TEXT,
            product_item_id TEXT,
            action TEXT NOT NULL,
            source TEXT NOT NULL,
            payload_json TEXT NOT NULL DEFAULT '{}',
            created_at TEXT NOT NULL
        );
        CREATE INDEX IF NOT EXISTS idx_grocery_mapping_audit_mapping ON grocery_mapping_audit_events(mapping_id, created_at);
        """
    )
    _add_missing_columns(conn, "grocery_product_mappings", {"target_price_date": "TEXT", "target_price_source": "TEXT"})

        CREATE INDEX IF NOT EXISTS idx_grocery_mappings_target ON grocery_product_mappings(target_retailer, target_product_url, status);
        """
    )


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py
@@ -1369,8 +1369,19 @@
         );
         CREATE INDEX IF NOT EXISTS idx_grocery_mappings_source ON grocery_product_mappings(source_product_normalized_name, source_retailer, status);
         CREATE INDEX IF NOT EXISTS idx_grocery_mappings_target ON grocery_product_mappings(target_retailer, target_product_url, status);
-        """
-    )
+        CREATE TABLE IF NOT EXISTS grocery_mapping_audit_events (
+            audit_id TEXT PRIMARY KEY,
+            mapping_id TEXT,
+            product_item_id TEXT,
+            action TEXT NOT NULL,
+            source TEXT NOT NULL,
+            payload_json TEXT NOT NULL DEFAULT '{}',
+            created_at TEXT NOT NULL
+        );
+        CREATE INDEX IF NOT EXISTS idx_grocery_mapping_audit_mapping ON grocery_mapping_audit_events(mapping_id, created_at);
+        """
+    )
+    _add_missing_columns(conn, "grocery_product_mappings", {"target_price_date": "TEXT", "target_price_source": "TEXT"})

 def _apply_compat_migrations(conn: Connection) -> None:


[Your active task list was preserved across context compression]
- [>] navprov-3. Provider-Strategie recherchieren/bewerten: Rappn, Open Food Facts/Open Prices, FoodRepo, Pepesto, Händler direkt (in_progress)
- [ ] navprov-4. Grocery Provider-Konzept + LLM-Grenzen dokumentieren und MVP-Skeleton/Link-Out/Open-Prices Spike umsetzen (pending)
- [ ] navprov-5. Manuelle Preis-/Mapping-Erfassung mit Preview/Confirm/Audit und sichere/unsichere UI-Trennung härten (pending)
- [ ] navprov-6. Finale Tests/Build/Scans/Git-Safety/Browser-Sanity/Commit/Push/Abschlussbericht (pending)


Ich setze ab dem erhaltenen Stand fort: Navigation ist bereits testgrün; jetzt schließe ich Provider-Strategie, Dokumentation, Open-Prices/Rappn-Link-Out und manuellen Preisworkflow sauber ab. Ich prüfe zuerst den aktuellen Diff, damit nichts aus dem kompaktierten Kontext verloren geht.

terminal

git status --short --branch && git diff --stat


Output:
## main...origin/main
 M frontend/src/components/SidebarNav.vue
 M src/jarvis_finance/storage/migrations.py
?? frontend/src/navigation/
 frontend/src/components/SidebarNav.vue   | 51 ++------------------------------
 src/jarvis_finance/storage/migrations.py | 15 ++++++++--
 2 files changed, 16 insertions(+), 50 deletions(-)


Explanation:
**Implementing grocery functions**

I need to implement the necessary functions from grocery_optimizer.py. I'll start by reviewing the relevant parts of the code to understand how they work and how I can best utilize them for the user's needs. It’s all about making sure I’m correctly applying the logic and structure in the script. After that, I can focus on integrating those functions into the main program. Let's get to it!


     1|from __future__ import annotations
     2|
     3|import hashlib
     4|import ipaddress
     5|import json
     6|import re
     7|import socket
     8|from collections import defaultdict
     9|from datetime import datetime, timezone
    10|from decimal import Decimal, InvalidOperation
    11|from pathlib import Path
    12|from sqlite3 import Connection
    13|from typing import Any
    14|from urllib.parse import urlparse
    15|
    16|from jarvis_finance.config.settings import find_repo_root, load_settings
    17|from jarvis_finance.services.budget_common import new_id, row_to_dict
    18|
    19|SAFE_RETAILERS = {"Coop", "Aldi Suisse", "Lidl", "Denner", "Otto's", "Migros"}
    20|SAFE_MATCH_TYPES = {"exact_match", "close_match", "cheaper_private_label", "manual_match"}
    21|SAFE_FLAGS = {"exact_match", "close_match", "cheaper_private_label", "manual_match"}
    22|UNCERTAIN_FLAGS = {"different_pack_size", "needs_review", "bio_vs_non_bio", "brand_vs_private_label"}
    23|
    24|
    25|def _now() -> str:
    26|    return datetime.now(timezone.utc).isoformat()
    27|
    28|
    29|def _money(value: Any) -> Decimal:
    30|    try:
    31|        text = str(value or "0").replace("CHF", "").replace("'", "").replace("’", "").strip().replace(",", ".")
    32|        return Decimal(text or "0").quantize(Decimal("0.01"))
    33|    except (InvalidOperation, ValueError):
    34|        return Decimal("0.00")
    35|
    36|
    37|def _fmt(value: Decimal | Any) -> str:
    38|    return f"{_money(value):.2f}"
    39|
    40|
    41|def normalize_product_name(raw_product_name: str) -> dict[str, str]:
    42|    raw = raw_product_name
    43|    text = re.sub(r"\b(aktion|rabatt|bonus|cumulus|hit|promo)\b", " ", raw, flags=re.I)
    44|    quantity = re.search(r"\b\d+(?:[.,]\d+)?\s*(?:kg|g|l|ml|stk|stück|x)\b", text, flags=re.I)
    45|    brand = "M-Budget" if re.search(r"m[- ]?budget", text, flags=re.I) else None
    46|    text = re.sub(r"m[- ]?budget|bio", " ", text, flags=re.I)
    47|    text = re.sub(r"\b\d+(?:[.,]\d+)?\s*(?:kg|g|l|ml|stk|stück|x)\b", " ", text, flags=re.I)
    48|    words = [w.lower() for w in re.findall(r"[A-Za-zÄÖÜäöüß]+", text) if len(w) > 1]
    49|    core_map = {"milch": "milch", "eier": "eier", "ei": "eier", "reis": "reis", "poulet": "poulet", "joghurt": "joghurt", "yogurt": "joghurt", "käse": "käse", "kaese": "käse", "waschmittel": "waschmittel", "katzenfutter": "katzenfutter"}
    50|    core = next((core_map[w] for w in words if w in core_map), " ".join(words[:3]).strip() or raw.strip().lower())
    51|    return {"raw_product_name": raw, "normalized_product_name": core, "brand_hint": brand or "", "quantity_hint": quantity.group(0).replace(" ", "") if quantity else "", "confidence": "0.82" if core else "0.50"}
    52|
    53|
    54|def add_demo_migros_receipt(conn: Connection, *, purchase_date: str, store_name: str, items: list[dict[str, Any]], receipt_id: str | None = None) -> dict[str, Any]:
    55|    rid = receipt_id or new_id("mreceipt")
    56|    out_items: list[dict[str, Any]] = []
    57|    for idx, item in enumerate(items, start=1):
    58|        norm = normalize_product_name(str(item.get("raw_product_name") or ""))
    59|        pid = new_id("gitem")
    60|        total = _fmt(item.get("total_price_text") or item.get("total") or "0")
    61|        conn.execute(
    62|            """INSERT INTO grocery_product_items(product_item_id,source_type,receipt_id,receipt_key,source_line_id,purchase_date,store_name,raw_product_name,normalized_product_name,normalization_confidence,brand_hint,quantity_hint,quantity_text,unit,unit_price_text,total_price_text,currency,action_label,include_in_analysis,notes,health_analysis_status,health_flags_json,health_notes,created_at)
    63|               VALUES (?, 'migros_receipt', ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'CHF', ?, 1, ?, 'prepared_not_run', '{}', ?, ?)""",
    64|            (pid, rid, f"{purchase_date}:{store_name}", str(idx), purchase_date, store_name, item.get("raw_product_name"), norm["normalized_product_name"], norm["confidence"], norm["brand_hint"], norm["quantity_hint"], item.get("quantity_text"), item.get("unit"), item.get("unit_price_text"), total, item.get("action_label"), item.get("notes"), "Gesundheitsanalyse später", _now()),
    65|        )
    66|        row = row_to_dict(conn.execute("SELECT * FROM grocery_product_items WHERE product_item_id=?", (pid,)).fetchone())
    67|        out_items.append(row)
    68|    conn.commit()
    69|    return {"receipt_id": rid, "purchase_date": purchase_date, "store_name": store_name, "items": out_items}
    70|
    71|
    72|def _items_for_receipt(conn: Connection, receipt_id: str) -> list[dict[str, Any]]:
    73|    rows = conn.execute("SELECT * FROM grocery_product_items WHERE receipt_id=? ORDER BY source_line_id, product_item_id", (receipt_id,)).fetchall()
    74|    return [row_to_dict(r) for r in rows]
    75|
    76|
    77|def get_grocery_optimizer_dashboard(conn: Connection) -> dict[str, Any]:
    78|    rows = conn.execute("""SELECT receipt_id, purchase_date, store_name, COUNT(*) AS article_count, COALESCE(SUM(CAST(total_price_text AS REAL)),0) AS total_value FROM grocery_product_items GROUP BY receipt_id,purchase_date,store_name ORDER BY purchase_date DESC, receipt_id DESC""").fetchall()
    79|    receipts = []
    80|    for r in rows:
    81|        items = _items_for_receipt(conn, r["receipt_id"])
    82|        for item in items:
    83|            item["known_mappings"] = known_mappings_for_item(conn, item, include_rejected=True)
    84|        receipts.append({"receipt_id": r["receipt_id"], "purchase_date": r["purchase_date"], "store_name": r["store_name"], "article_count": int(r["article_count"] or 0), "total_text": _fmt(r["total_value"]), "items": items})
    85|    return {"purpose": "migros_product_savings_grocery_optimizer_v1", "receipts": receipts, "supported_retailers": sorted(SAFE_RETAILERS - {"Migros"}), "health_analysis_status": "prepared_not_run", "disclaimer": "Keine medizinische Bewertung; keine automatische Bestellung."}
    86|
    87|
    88|def _validate_product_url(url: str) -> None:
    89|    parsed = urlparse(url)
    90|    if parsed.scheme not in {"http", "https"} or not parsed.netloc:
    91|        raise ValueError("invalid_product_url")
    92|    host = (parsed.hostname or "").strip().lower().rstrip(".")
    93|    if not host or host == "localhost" or host.endswith(".localhost"):
    94|        raise ValueError("unsafe_product_url")
    95|    try:
    96|        ip = ipaddress.ip_address(host)
    97|    except ValueError:
    98|        if re.fullmatch(r"[0-9.]+", host):
    99|            try:
   100|                ip = ipaddress.ip_address(socket.inet_ntoa(socket.inet_aton(host)))
   101|            except OSError:
   102|                return
   103|        else:
   104|            return
   105|    if ip.is_loopback or ip.is_private or ip.is_link_local or ip.is_multicast or ip.is_unspecified or ip.is_reserved:
   106|        raise ValueError("unsafe_product_url")
   107|
   108|
   109|def upsert_product_match(conn: Connection, product_item_id: str, *, retailer: str, candidate_product_name: str, candidate_url: str, candidate_price_text: str | None, candidate_unit_price_text: str | None = None, quality_flags: list[str] | None = None, match_confidence: str = "0.60", status: str = "suggested", source: str = "manual", candidate_brand: str | None = None, candidate_package_size: str | None = None, candidate_unit: str | None = None) -> dict[str, Any]:
   110|    if retailer not in SAFE_RETAILERS:
   111|        raise ValueError("unsupported_retailer")
   112|    _validate_product_url(candidate_url)
   113|    mid = new_id("gmatch")
   114|    flags = quality_flags or ["needs_review"]
   115|    fetched = _now()
   116|    source_hash = hashlib.sha256((retailer + candidate_url + candidate_product_name + str(candidate_price_text)).encode()).hexdigest()
   117|    conn.execute(
   118|        """INSERT INTO grocery_product_matches(match_id,product_item_id,retailer,candidate_product_name,candidate_url,candidate_brand,candidate_package_size,candidate_unit,candidate_price_text,candidate_unit_price_text,price_currency,match_confidence,match_reason,quality_flags_json,fetched_at,source,status)
   119|           VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'CHF', ?, ?, ?, ?, ?, ?)""",
   120|        (mid, product_item_id, retailer, candidate_product_name, candidate_url, candidate_brand, candidate_package_size, candidate_unit, _fmt(candidate_price_text) if candidate_price_text is not None else None, candidate_unit_price_text, match_confidence, "reviewable sourced candidate", json.dumps(flags), fetched, source, status),
   121|    )
   122|    if source not in {"web_fetch", "cache"}:
   123|        conn.execute(
   124|            """INSERT OR REPLACE INTO grocery_product_details_cache(detail_id,retailer,product_url,product_name,price_text,unit_price_text,package_size,ingredients_text,nutrition_json,fetched_at,cache_status,source_hash)
   125|               VALUES (COALESCE((SELECT detail_id FROM grocery_product_details_cache WHERE retailer=? AND product_url=?), ?), ?, ?, ?, ?, ?, ?, NULL, '{}', ?, 'cached', ?)""",
   126|            (retailer, candidate_url, new_id("gdetail"), retailer, candidate_url, candidate_product_name, _fmt(candidate_price_text) if candidate_price_text is not None else None, candidate_unit_price_text, candidate_package_size, fetched, source_hash),
   127|        )
   128|    conn.commit()
   129|    return row_to_dict(conn.execute("SELECT * FROM grocery_product_matches WHERE match_id=?", (mid,)).fetchone())
   130|
   131|
   132|def _matches(conn: Connection, product_item_id: str) -> list[dict[str, Any]]:
   133|    return [row_to_dict(r) for r in conn.execute("SELECT * FROM grocery_product_matches WHERE product_item_id=? ORDER BY CAST(match_confidence AS REAL) DESC", (product_item_id,)).fetchall()]
   134|
   135|
   136|def _cache_status_for_url(conn: Connection, retailer: str, url: str) -> dict[str, Any]:
   137|    row = conn.execute("SELECT * FROM grocery_product_details_cache WHERE retailer=? AND product_url=? ORDER BY fetched_at DESC LIMIT 1", (retailer, url)).fetchone()
   138|    if not row:
   139|        return {"cache_status": "fehlt", "last_price_checked_at": None}
   140|    data = row_to_dict(row)
   141|    try:
   142|        fetched = datetime.fromisoformat(str(data.get("fetched_at")))
   143|        if fetched.tzinfo is None:
   144|            fetched = fetched.replace(tzinfo=timezone.utc)
   145|        age = (datetime.now(timezone.utc) - fetched).total_seconds()
   146|        status = "frisch" if age <= 86400 else "veraltet"
   147|    except Exception:
   148|        status = "fehler"
   149|    return {"cache_status": status, "last_price_checked_at": data.get("fetched_at"), "price_text": data.get("price_text"), "unit_price_text": data.get("unit_price_text")}
   150|
   151|
   152|def known_mappings_for_item(conn: Connection, item: dict[str, Any], include_rejected: bool = False) -> list[dict[str, Any]]:
   153|    statuses = ("accepted", "needs_review", "rejected") if include_rejected else ("accepted", "needs_review")
   154|    rows = conn.execute(
   155|        f"SELECT * FROM grocery_product_mappings WHERE source_retailer='Migros' AND source_product_normalized_name=? AND status IN ({','.join('?' for _ in statuses)}) ORDER BY status='accepted' DESC, CAST(confidence AS REAL) DESC, updated_at DESC",
   156|        (item.get("normalized_product_name"), *statuses),
   157|    ).fetchall()
   158|    mappings = []
   159|    for row in rows:
   160|        d = row_to_dict(row)
   161|        d.update(_cache_status_for_url(conn, d["target_retailer"], d["target_product_url"]))
   162|        mappings.append(d)
   163|    return mappings
   164|
   165|
   166|def _insert_mapping(conn: Connection, *, item: dict[str, Any], target_retailer: str, target_product_name: str, target_product_url: str, match_type: str, status: str, confidence: str = "0.80", user_note: str | None = None, source_match_id: str | None = None, target_brand: str | None = None, target_package_size: str | None = None, target_unit: str | None = None, target_price_text: str | None = None, target_unit_price_text: str | None = None, quality_flags: list[str] | None = None, last_price_checked_at: str | None = None) -> dict[str, Any]:
   167|    if target_retailer not in SAFE_RETAILERS:
   168|        raise ValueError("unsupported_retailer")
   169|    if match_type not in SAFE_MATCH_TYPES:
   170|        raise ValueError("unsupported_match_type")
   171|    _validate_product_url(target_product_url)
   172|    now = _now()
   173|    mapping_id = new_id("gmap")
   174|    conn.execute(
   175|        """INSERT INTO grocery_product_mappings(mapping_id,source_product_normalized_name,source_product_raw_name,source_retailer,target_retailer,target_product_name,target_product_url,target_brand,target_package_size,target_unit,target_price_text,target_unit_price_text,price_currency,match_type,status,confidence,user_note,source_match_id,quality_flags_json,health_analysis_status,health_flags_json,health_notes,created_at,updated_at,last_price_checked_at)
   176|           VALUES (?, ?, ?, 'Migros', ?, ?, ?, ?, ?, ?, ?, ?, 'CHF', ?, ?, ?, ?, ?, ?, 'prepared_not_run', '{}', ?, ?, ?, ?)""",
   177|        (mapping_id, item.get("normalized_product_name"), item.get("raw_product_name"), target_retailer, target_product_name, target_product_url, target_brand, target_package_size, target_unit, _fmt(target_price_text) if target_price_text else None, target_unit_price_text, match_type, status, confidence, user_note, source_match_id, json.dumps(quality_flags or [match_type]), "Gesundheitsanalyse später", now, now, last_price_checked_at),
   178|    )
   179|    conn.commit()
   180|    return row_to_dict(conn.execute("SELECT * FROM grocery_product_mappings WHERE mapping_id=?", (mapping_id,)).fetchone())
   181|
   182|
   183|def accept_grocery_product_match(conn: Connection, match_id: str, *, user_note: str | None = None, save_as_preferred: bool = True) -> dict[str, Any]:
   184|    row = conn.execute("SELECT * FROM grocery_product_matches WHERE match_id=?", (match_id,)).fetchone()
   185|    if not row:
   186|        raise ValueError("match_not_found")
   187|    match = row_to_dict(row)
   188|    item = row_to_dict(conn.execute("SELECT * FROM grocery_product_items WHERE product_item_id=?", (match["product_item_id"],)).fetchone())
   189|    conn.execute("UPDATE grocery_product_matches SET status='accepted' WHERE match_id=?", (match_id,))
   190|    flags = json.loads(match.get("quality_flags_json") or "[]")
   191|    match_type = "manual_match" if not match.get("candidate_price_text") else next((flag for flag in flags if flag in SAFE_MATCH_TYPES), "manual_match")
   192|    mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type=match_type, status="accepted" if save_as_preferred else "needs_review", confidence=match.get("match_confidence") or "0.80", user_note=user_note, source_match_id=match_id, quality_flags=flags or [match_type], last_price_checked_at=match.get("fetched_at") if match.get("candidate_price_text") else None)
   193|    return mapping
   194|
   195|
   196|def reject_grocery_product_match(conn: Connection, match_id: str, *, user_note: str | None = None) -> dict[str, Any]:
   197|    row = conn.execute("SELECT * FROM grocery_product_matches WHERE match_id=?", (match_id,)).fetchone()
   198|    if not row:
   199|        raise ValueError("match_not_found")
   200|    match = row_to_dict(row)
   201|    item = row_to_dict(conn.execute("SELECT * FROM grocery_product_items WHERE product_item_id=?", (match["product_item_id"],)).fetchone())
   202|    conn.execute("UPDATE grocery_product_matches SET status='rejected' WHERE match_id=?", (match_id,))
   203|    mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type="manual_match", status="rejected", confidence=match.get("match_confidence") or "0.50", user_note=user_note, source_match_id=match_id, quality_flags=json.loads(match.get("quality_flags_json") or "[]"), last_price_checked_at=match.get("fetched_at"))
   204|    return mapping
   205|
   206|
   207|def create_manual_grocery_mapping(conn: Connection, *, product_item_id: str, target_retailer: str, target_product_name: str, target_product_url: str, match_type: str = "manual_match", candidate_price_text: str | None = None, candidate_unit_price_text: str | None = None, target_brand: str | None = None, target_package_size: str | None = None, target_unit: str | None = None, user_note: str | None = None, confidence: str = "0.95") -> dict[str, Any]:
   208|    item = row_to_dict(conn.execute("SELECT * FROM grocery_product_items WHERE product_item_id=?", (product_item_id,)).fetchone())
   209|    mapping = _insert_mapping(conn, item=item, target_retailer=target_retailer, target_product_name=target_product_name, target_product_url=target_product_url, target_brand=target_brand, target_package_size=target_package_size, target_unit=target_unit, target_price_text=candidate_price_text, target_unit_price_text=candidate_unit_price_text, match_type=match_type, status="accepted", confidence=confidence, user_note=user_note, quality_flags=[match_type, "manual_price" if candidate_price_text else "no_price"], last_price_checked_at=None)
   210|    return mapping
   211|
   212|
   213|def refresh_grocery_mapping_price(conn: Connection, mapping_id: str) -> dict[str, Any]:
   214|    row = conn.execute("SELECT * FROM grocery_product_mappings WHERE mapping_id=?", (mapping_id,)).fetchone()
   215|    if not row:
   216|        raise ValueError("mapping_not_found")
   217|    mapping = row_to_dict(row)
   218|    cache = _cache_status_for_url(conn, mapping["target_retailer"], mapping["target_product_url"])
   219|    if cache.get("price_text"):
   220|        flags = [f for f in json.loads(mapping.get("quality_flags_json") or "[]") if f != "manual_price"]
   221|        if "manual_match" not in flags:
   222|            flags.append("manual_match")
   223|        conn.execute(
   224|            """UPDATE grocery_product_mappings
   225|               SET target_price_text=?, target_unit_price_text=?, quality_flags_json=?, last_price_checked_at=?, updated_at=?
   226|               WHERE mapping_id=?""",
   227|            (cache.get("price_text"), cache.get("unit_price_text"), json.dumps(flags), cache.get("last_price_checked_at"), _now(), mapping_id),
   228|        )
   229|        conn.commit()
   230|        mapping.update({"target_price_text": cache.get("price_text"), "target_unit_price_text": cache.get("unit_price_text"), "last_price_checked_at": cache.get("last_price_checked_at")})
   231|    mapping.update({"cache_status": cache["cache_status"], "price_refresh_result": "cache_price_applied" if cache.get("price_text") else "no_sourced_price_available"})
   232|    return mapping
   233|
   234|
   235|def _safe_match(match: dict[str, Any]) -> bool:
   236|    flags = set(json.loads(match.get("quality_flags_json") or "[]"))
   237|    if "manual_price" in flags or "no_price" in flags:
   238|        return False
   239|    return match.get("status") in {"suggested", "accepted"} and flags <= SAFE_FLAGS and bool(flags & SAFE_FLAGS) and bool(match.get("candidate_price_text"))
   240|
   241|
   242|def run_grocery_optimization(conn: Connection, receipt_id: str, *, selected_retailers: list[str], max_store_count: int = 3, included_product_item_ids: list[str] | None = None) -> dict[str, Any]:
   243|    max_store_count = min(max(1, int(max_store_count or 3)), 3)
   244|    selected = [r for r in selected_retailers if r in SAFE_RETAILERS]
   245|    items = _items_for_receipt(conn, receipt_id)
   246|    if included_product_item_ids is not None:
   247|        include = set(included_product_item_ids)
   248|        items = [i for i in items if i["product_item_id"] in include]
   249|    else:
   250|        items = [i for i in items if int(i.get("include_in_analysis") or 0) == 1]
   251|    original = sum((_money(i["total_price_text"]) for i in items), Decimal("0.00"))
   252|
   253|    # First pass: determine each item's best safe alternative and potential saving.
   254|    item_options: list[dict[str, Any]] = []
   255|    retailer_savings: dict[str, Decimal] = defaultdict(lambda: Decimal("0.00"))
   256|    uncertain = 0
   257|    for item in items:
   258|        item_price = _money(item["total_price_text"])
   259|        candidates = [m for m in _matches(conn, item["product_item_id"]) if m["retailer"] in selected]
   260|        for mapping in known_mappings_for_item(conn, item, include_rejected=False):
   261|

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