From d4dc0a400fb43afd6deaa8d31a013fb049909b11 Mon Sep 17 00:00:00 2001
From: banklesss <105349292+banklesss@users.noreply.github.com>
Date: Thu, 19 Dec 2024 18:04:30 +0100
Subject: [PATCH] refactor(wallet-mobile): tx review (#3772)

---
 .../common/hooks/useFormattedMetadata.tsx     |   2 +-
 .../ReviewTx/common/hooks/useFormattedTx.tsx  |  17 ---
 .../src/features/ReviewTx/common/mocks.ts     | 138 ------------------
 .../src/features/ReviewTx/common/types.ts     |   9 --
 .../ReviewTx/Overview/OverviewTab.tsx         |  26 +++-
 .../ReviewTx/UTxOs/UTxOsTab.tsx               |  38 +++--
 6 files changed, 44 insertions(+), 186 deletions(-)

diff --git a/apps/wallet-mobile/src/features/ReviewTx/common/hooks/useFormattedMetadata.tsx b/apps/wallet-mobile/src/features/ReviewTx/common/hooks/useFormattedMetadata.tsx
index baee85c3d2..aa6fe59e65 100644
--- a/apps/wallet-mobile/src/features/ReviewTx/common/hooks/useFormattedMetadata.tsx
+++ b/apps/wallet-mobile/src/features/ReviewTx/common/hooks/useFormattedMetadata.tsx
@@ -21,7 +21,7 @@ export const formatMetadata = async (
     if (unsignedTx != null && unsignedTx.unsignedTx.auxiliaryData && hash != null) {
       generalTransactionMetadata = await unsignedTx.unsignedTx.auxiliaryData?.metadata()
     } else if (cbor != null && hash != null) {
-      const tx = await csl.Transaction.fromBytes(Buffer.from(cbor, 'hex'))
+      const tx = await csl.Transaction.fromHex(cbor)
       const auxiliaryData = await tx.auxiliaryData()
       generalTransactionMetadata = await auxiliaryData?.metadata()
     }
diff --git a/apps/wallet-mobile/src/features/ReviewTx/common/hooks/useFormattedTx.tsx b/apps/wallet-mobile/src/features/ReviewTx/common/hooks/useFormattedTx.tsx
index f4b0420786..7a28175139 100644
--- a/apps/wallet-mobile/src/features/ReviewTx/common/hooks/useFormattedTx.tsx
+++ b/apps/wallet-mobile/src/features/ReviewTx/common/hooks/useFormattedTx.tsx
@@ -1,6 +1,5 @@
 import {CredKind} from '@emurgo/cross-csl-core'
 import {isNonNullable} from '@yoroi/common'
-import {infoExtractName} from '@yoroi/portfolio'
 import {ApiUtxoData, Portfolio} from '@yoroi/types'
 import {NetworkApi} from '@yoroi/types/lib/typescript/network/manager'
 import _ from 'lodash'
@@ -9,7 +8,6 @@ import {useQuery} from 'react-query'
 import {YoroiWallet} from '../../../../yoroi-wallets/cardano/types'
 import {deriveRewardAddressFromAddress} from '../../../../yoroi-wallets/cardano/utils'
 import {wrappedCsl} from '../../../../yoroi-wallets/cardano/wrappedCsl'
-import {formatTokenWithText} from '../../../../yoroi-wallets/utils/format'
 import {asQuantity} from '../../../../yoroi-wallets/utils/utils'
 import {usePortfolioTokenInfos} from '../../../Portfolio/common/hooks/usePortfolioTokenInfos'
 import {useSelectedNetwork} from '../../../WalletManager/common/hooks/useSelectedNetwork'
@@ -138,10 +136,7 @@ const formatInputs = async (
           ? [
               {
                 tokenInfo: wallet.portfolioPrimaryTokenInfo,
-                name: wallet.portfolioPrimaryTokenInfo.name,
-                label: formatTokenWithText(coin, wallet.portfolioPrimaryTokenInfo),
                 quantity: coin,
-                isPrimary: true,
               },
             ]
           : []
@@ -155,10 +150,7 @@ const formatInputs = async (
 
             return {
               tokenInfo,
-              name: infoExtractName(tokenInfo),
-              label: formatTokenWithText(quantity, tokenInfo),
               quantity: quantity,
-              isPrimary: false,
             }
           })
           .filter(Boolean) ?? []
@@ -193,10 +185,7 @@ const formatOutputs = async (
       const primaryAssets = [
         {
           tokenInfo: wallet.portfolioPrimaryTokenInfo,
-          name: wallet.portfolioPrimaryTokenInfo.name,
-          label: formatTokenWithText(coin, wallet.portfolioPrimaryTokenInfo),
           quantity: coin,
-          isPrimary: true,
         },
       ]
 
@@ -209,10 +198,7 @@ const formatOutputs = async (
 
               return {
                 tokenInfo,
-                name: infoExtractName(tokenInfo),
-                label: formatTokenWithText(quantity, tokenInfo),
                 quantity,
-                isPrimary: false,
               }
             })
           })
@@ -236,10 +222,7 @@ export const formatFee = (wallet: YoroiWallet, data: TransactionBody): Formatted
 
   return {
     tokenInfo: wallet.portfolioPrimaryTokenInfo,
-    name: wallet.portfolioPrimaryTokenInfo.name,
-    label: formatTokenWithText(fee, wallet.portfolioPrimaryTokenInfo),
     quantity: fee,
-    isPrimary: true,
   }
 }
 
diff --git a/apps/wallet-mobile/src/features/ReviewTx/common/mocks.ts b/apps/wallet-mobile/src/features/ReviewTx/common/mocks.ts
index b11b4e9128..7aa71594f5 100644
--- a/apps/wallet-mobile/src/features/ReviewTx/common/mocks.ts
+++ b/apps/wallet-mobile/src/features/ReviewTx/common/mocks.ts
@@ -24,10 +24,7 @@ export const onlyAdaOneReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '10.618074 ADA',
           quantity: '10618074',
-          isPrimary: true,
         },
       ],
       address:
@@ -58,10 +55,7 @@ export const onlyAdaOneReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.000000 ADA',
           quantity: '2000000',
-          isPrimary: true,
         },
       ],
       address:
@@ -94,10 +88,7 @@ export const onlyAdaOneReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '10.000000 ADA',
           quantity: '10000000',
-          isPrimary: true,
         },
       ],
       address:
@@ -126,10 +117,7 @@ export const onlyAdaOneReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.443465 ADA',
           quantity: '2443465',
-          isPrimary: true,
         },
       ],
       address:
@@ -157,10 +145,7 @@ export const onlyAdaOneReceiver: FormattedTx = {
       originalImage: '',
       description: 'Cardano',
     },
-    name: 'ADA',
-    label: '0.174609 ADA',
     quantity: '174609',
-    isPrimary: true,
   },
   certificates: null,
   mint: null,
@@ -189,10 +174,7 @@ export const onlyAdaOneReceiverReferenceInputs: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '10.618074 ADA',
           quantity: '10618074',
-          isPrimary: true,
         },
       ],
       address:
@@ -223,10 +205,7 @@ export const onlyAdaOneReceiverReferenceInputs: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.000000 ADA',
           quantity: '2000000',
-          isPrimary: true,
         },
       ],
       address:
@@ -259,10 +238,7 @@ export const onlyAdaOneReceiverReferenceInputs: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '10.000000 ADA',
           quantity: '10000000',
-          isPrimary: true,
         },
       ],
       address:
@@ -291,10 +267,7 @@ export const onlyAdaOneReceiverReferenceInputs: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.443465 ADA',
           quantity: '2443465',
-          isPrimary: true,
         },
       ],
       address:
@@ -322,10 +295,7 @@ export const onlyAdaOneReceiverReferenceInputs: FormattedTx = {
       originalImage: '',
       description: 'Cardano',
     },
-    name: 'ADA',
-    label: '0.174609 ADA',
     quantity: '174609',
-    isPrimary: true,
   },
   certificates: null,
   mint: null,
@@ -350,10 +320,7 @@ export const onlyAdaOneReceiverReferenceInputs: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '10.618074 ADA',
           quantity: '10618074',
-          isPrimary: true,
         },
       ],
       address:
@@ -389,10 +356,7 @@ export const onlyAdaOneReceiverMint: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '10.618074 ADA',
           quantity: '10618074',
-          isPrimary: true,
         },
       ],
       address:
@@ -423,10 +387,7 @@ export const onlyAdaOneReceiverMint: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.000000 ADA',
           quantity: '2000000',
-          isPrimary: true,
         },
       ],
       address:
@@ -459,10 +420,7 @@ export const onlyAdaOneReceiverMint: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '10.000000 ADA',
           quantity: '10000000',
-          isPrimary: true,
         },
       ],
       address:
@@ -491,10 +449,7 @@ export const onlyAdaOneReceiverMint: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.443465 ADA',
           quantity: '2443465',
-          isPrimary: true,
         },
       ],
       address:
@@ -522,10 +477,7 @@ export const onlyAdaOneReceiverMint: FormattedTx = {
       originalImage: '',
       description: 'Cardano',
     },
-    name: 'ADA',
-    label: '0.174609 ADA',
     quantity: '174609',
-    isPrimary: true,
   },
   certificates: null,
   mint: [
@@ -595,10 +547,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.000000 ADA',
           quantity: '2000000',
-          isPrimary: true,
         },
         {
           tokenInfo: {
@@ -620,10 +569,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             originalImage:
               'data:image/png;base64,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',
           },
-          name: 'ADAMOON',
-          label: '20 ADAMOON',
           quantity: '20',
-          isPrimary: false,
         },
         {
           tokenInfo: {
@@ -643,10 +589,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             description: '',
             originalImage: 'https://ipfs.io/ipfs/QmNbZQLBoqNdsmmVJ42Yip5wcbRiqTbwgFAi3ChWQX74nm',
           },
-          name: 'javibueno.ada',
-          label: '1 javibueno.ada',
           quantity: '1',
-          isPrimary: false,
         },
       ],
       address:
@@ -677,10 +620,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.482465 ADA',
           quantity: '2482465',
-          isPrimary: true,
         },
       ],
       address:
@@ -713,10 +653,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.000000 ADA',
           quantity: '2000000',
-          isPrimary: true,
         },
         {
           tokenInfo: {
@@ -738,10 +675,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             originalImage:
               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',
           },
-          name: 'ADAMOON',
-          label: '10 ADAMOON',
           quantity: '10',
-          isPrimary: false,
         },
         {
           tokenInfo: {
@@ -761,10 +695,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             description: '',
             originalImage: 'https://ipfs.io/ipfs/QmNbZQLBoqNdsmmVJ42Yip5wcbRiqTbwgFAi3ChWQX74nm',
           },
-          name: 'javibueno.ada',
-          label: '1 javibueno.ada',
           quantity: '1',
-          isPrimary: false,
         },
       ],
       address:
@@ -793,10 +724,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '1.150770 ADA',
           quantity: '1150770',
-          isPrimary: true,
         },
         {
           tokenInfo: {
@@ -818,10 +746,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             originalImage:
               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',
           },
-          name: 'ADAMOON',
-          label: '10 ADAMOON',
           quantity: '10',
-          isPrimary: false,
         },
       ],
       address:
@@ -850,10 +775,7 @@ export const multiAssetOneReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '1.153126 ADA',
           quantity: '1153126',
-          isPrimary: true,
         },
       ],
       address:
@@ -881,10 +803,7 @@ export const multiAssetOneReceiver: FormattedTx = {
       originalImage: '',
       description: 'Cardano',
     },
-    name: 'ADA',
-    label: '0.178569 ADA',
     quantity: '178569',
-    isPrimary: true,
   },
   certificates: null,
   mint: null,
@@ -913,10 +832,7 @@ const onlyAdaMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '10.618074 ADA',
           quantity: '10618074',
-          isPrimary: true,
         },
       ],
       address:
@@ -947,10 +863,7 @@ const onlyAdaMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.000000 ADA',
           quantity: '2000000',
-          isPrimary: true,
         },
         {
           tokenInfo: {
@@ -970,10 +883,7 @@ const onlyAdaMultiReceiver: FormattedTx = {
             description: '',
             originalImage: 'https://ipfs.io/ipfs/QmNbZQLBoqNdsmmVJ42Yip5wcbRiqTbwgFAi3ChWQX74nm',
           },
-          name: 'javibueno.ada',
-          label: '1 javibueno.ada',
           quantity: '1',
-          isPrimary: false,
         },
       ],
       address:
@@ -1006,10 +916,7 @@ const onlyAdaMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '5.000000 ADA',
           quantity: '5000000',
-          isPrimary: true,
         },
       ],
       address:
@@ -1038,10 +945,7 @@ const onlyAdaMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '5.000000 ADA',
           quantity: '5000000',
-          isPrimary: true,
         },
       ],
       address:
@@ -1070,10 +974,7 @@ const onlyAdaMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.443465 ADA',
           quantity: '2443465',
-          isPrimary: true,
         },
       ],
       address:
@@ -1101,10 +1002,7 @@ const onlyAdaMultiReceiver: FormattedTx = {
       originalImage: '',
       description: 'Cardano',
     },
-    name: 'ADA',
-    label: '0.174609 ADA',
     quantity: '174609',
-    isPrimary: true,
   },
   certificates: null,
   mint: null,
@@ -1133,10 +1031,7 @@ const multiAssetMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '10.618074 ADA',
           quantity: '10618074',
-          isPrimary: true,
         },
       ],
       address:
@@ -1167,10 +1062,7 @@ const multiAssetMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.000000 ADA',
           quantity: '2000000',
-          isPrimary: true,
         },
         {
           tokenInfo: {
@@ -1190,10 +1082,7 @@ const multiAssetMultiReceiver: FormattedTx = {
             description: '',
             originalImage: 'https://ipfs.io/ipfs/QmNbZQLBoqNdsmmVJ42Yip5wcbRiqTbwgFAi3ChWQX74nm',
           },
-          name: 'javibueno.ada',
-          label: '1 javibueno.ada',
           quantity: '1',
-          isPrimary: false,
         },
       ],
       address:
@@ -1226,10 +1115,7 @@ const multiAssetMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '5.000000 ADA',
           quantity: '5000000',
-          isPrimary: true,
         },
       ],
       address:
@@ -1258,10 +1144,7 @@ const multiAssetMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '5.000000 ADA',
           quantity: '5000000',
-          isPrimary: true,
         },
         {
           tokenInfo: {
@@ -1281,10 +1164,7 @@ const multiAssetMultiReceiver: FormattedTx = {
             description: '',
             originalImage: 'https://ipfs.io/ipfs/QmNbZQLBoqNdsmmVJ42Yip5wcbRiqTbwgFAi3ChWQX74nm',
           },
-          name: 'javibueno.ada',
-          label: '1 javibueno.ada',
           quantity: '1',
-          isPrimary: false,
         },
       ],
       address:
@@ -1313,10 +1193,7 @@ const multiAssetMultiReceiver: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '2.443465 ADA',
           quantity: '2443465',
-          isPrimary: true,
         },
       ],
       address:
@@ -1344,10 +1221,7 @@ const multiAssetMultiReceiver: FormattedTx = {
       originalImage: '',
       description: 'Cardano',
     },
-    name: 'ADA',
-    label: '0.174609 ADA',
     quantity: '174609',
-    isPrimary: true,
   },
   certificates: null,
   mint: null,
@@ -1376,10 +1250,7 @@ const operationsWarning: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '8.221903 ADA',
           quantity: '8221903',
-          isPrimary: true,
         },
       ],
       address:
@@ -1412,10 +1283,7 @@ const operationsWarning: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '8.048702 ADA',
           quantity: '8048702',
-          isPrimary: true,
         },
       ],
       address:
@@ -1443,10 +1311,7 @@ const operationsWarning: FormattedTx = {
       originalImage: '',
       description: 'Cardano',
     },
-    name: 'ADA',
-    label: '0.173201 ADA',
     quantity: '173201',
-    isPrimary: true,
   },
   certificates: [
     {
@@ -1571,10 +1436,7 @@ const operationsWarning: FormattedTx = {
             originalImage: '',
             description: 'Cardano',
           },
-          name: 'ADA',
-          label: '8.221903 ADA',
           quantity: '8221903',
-          isPrimary: true,
         },
       ],
       address:
diff --git a/apps/wallet-mobile/src/features/ReviewTx/common/types.ts b/apps/wallet-mobile/src/features/ReviewTx/common/types.ts
index f36e49c878..e99a7e08b2 100644
--- a/apps/wallet-mobile/src/features/ReviewTx/common/types.ts
+++ b/apps/wallet-mobile/src/features/ReviewTx/common/types.ts
@@ -14,10 +14,7 @@ export type TransactionOutputs = TransactionOutputsJSON
 export type FormattedInput = {
   assets: Array<{
     tokenInfo: Portfolio.Token.Info
-    name: string
-    label: string
     quantity: Balance.Quantity
-    isPrimary: boolean
   }>
   address: string | undefined
   addressKind: CredKind | null
@@ -32,10 +29,7 @@ export type FormattedInputs = Array<FormattedInput>
 export type FormattedOutput = {
   assets: Array<{
     tokenInfo: Portfolio.Token.Info
-    name: string
-    label: string
     quantity: Balance.Quantity
-    isPrimary: boolean
   }>
   address: string
   addressKind: CredKind | null
@@ -47,10 +41,7 @@ export type FormattedOutputs = Array<FormattedOutput>
 
 export type FormattedFee = {
   tokenInfo: Portfolio.Token.Info
-  name: string
-  label: string
   quantity: Balance.Quantity
-  isPrimary: boolean
 }
 
 export type FormattedTx = {
diff --git a/apps/wallet-mobile/src/features/ReviewTx/useCases/ReviewTxScreen/ReviewTx/Overview/OverviewTab.tsx b/apps/wallet-mobile/src/features/ReviewTx/useCases/ReviewTxScreen/ReviewTx/Overview/OverviewTab.tsx
index cbc4e5c979..1d42b47eb4 100644
--- a/apps/wallet-mobile/src/features/ReviewTx/useCases/ReviewTxScreen/ReviewTx/Overview/OverviewTab.tsx
+++ b/apps/wallet-mobile/src/features/ReviewTx/useCases/ReviewTxScreen/ReviewTx/Overview/OverviewTab.tsx
@@ -2,7 +2,7 @@ import {CredKind} from '@emurgo/cross-csl-core'
 import {parseBoolean, useAsyncStorage, useMutationWithInvalidations} from '@yoroi/common'
 import {Blockies} from '@yoroi/identicon'
 import {useTheme} from '@yoroi/theme'
-import {Balance} from '@yoroi/types'
+import {Balance, Portfolio} from '@yoroi/types'
 import {Image} from 'expo-image'
 import * as React from 'react'
 import {Linking, ScrollView, StyleSheet, Text, TouchableOpacity, useWindowDimensions, View} from 'react-native'
@@ -134,7 +134,7 @@ const WalletInfoSection = ({tx, createdBy}: {tx: FormattedTx; createdBy?: React.
         </>
       )}
 
-      <FeeInfoItem fee={tx.fee.label} />
+      <FeeInfoItem fee={formatTokenWithText(tx.fee.quantity, wallet.portfolioPrimaryTokenInfo)} />
     </>
   )
 }
@@ -202,7 +202,7 @@ const MyWalletTokens = ({
   const totalPrimaryTokenSent = React.useMemo(
     () =>
       notOwnedOutputs
-        .flatMap((output) => output.assets.filter((asset) => asset.isPrimary))
+        .flatMap((output) => output.assets.filter((asset) => asset.tokenInfo.nature === Portfolio.Token.Nature.Primary))
         .reduce((previous, current) => Quantities.sum([previous, current.quantity]), Quantities.zero),
     [notOwnedOutputs],
   )
@@ -213,7 +213,10 @@ const MyWalletTokens = ({
   const totalPrimaryTokenSpentLabel = formatTokenWithText(totalPrimaryTokenSpent, wallet.portfolioPrimaryTokenInfo)
 
   const notPrimaryTokenSent = React.useMemo(
-    () => notOwnedOutputs.flatMap((output) => output.assets.filter((asset) => !asset.isPrimary)),
+    () =>
+      notOwnedOutputs.flatMap((output) =>
+        output.assets.filter((asset) => asset.tokenInfo.nature !== Portfolio.Token.Nature.Primary),
+      ),
     [notOwnedOutputs],
   )
 
@@ -227,7 +230,12 @@ const MyWalletTokens = ({
         <TokenItem tokenInfo={wallet.portfolioPrimaryTokenInfo} label={`-${totalPrimaryTokenSpentLabel}`} />
 
         {notPrimaryTokenSent.map((token, index) => (
-          <TokenItem key={index} tokenInfo={token.tokenInfo} label={token.label} isPrimaryToken={false} />
+          <TokenItem
+            key={index}
+            tokenInfo={token.tokenInfo}
+            label={formatTokenWithText(token.quantity, token.tokenInfo)}
+            isPrimaryToken={false}
+          />
         ))}
       </View>
     </View>
@@ -296,9 +304,11 @@ const MultiExternalPartiesSection = ({outputs}: {outputs: FormattedOutputs}) =>
   const strings = useStrings()
 
   const receivers = outputs.map((output, index) => {
-    const totalPrimaryToken = output.assets.filter((asset) => asset.isPrimary)[0]?.quantity ?? Quantities.zero
+    const totalPrimaryToken =
+      output.assets.filter((asset) => asset.tokenInfo.nature === Portfolio.Token.Nature.Primary)[0]?.quantity ??
+      Quantities.zero
     const totalPrimaryTokenLabel = formatTokenWithText(totalPrimaryToken, wallet.portfolioPrimaryTokenInfo)
-    const notPrimaryToken = output.assets.filter((asset) => !asset.isPrimary)
+    const notPrimaryToken = output.assets.filter((asset) => asset.tokenInfo.nature !== Portfolio.Token.Nature.Primary)
     const address = output?.rewardAddress ?? output?.address ?? '-'
 
     return (
@@ -327,7 +337,7 @@ const MultiExternalPartiesSection = ({outputs}: {outputs: FormattedOutputs}) =>
               <TokenItem
                 key={index}
                 tokenInfo={token.tokenInfo}
-                label={token.label}
+                label={formatTokenWithText(token.quantity, token.tokenInfo)}
                 isPrimaryToken={false}
                 isSent={false}
               />
diff --git a/apps/wallet-mobile/src/features/ReviewTx/useCases/ReviewTxScreen/ReviewTx/UTxOs/UTxOsTab.tsx b/apps/wallet-mobile/src/features/ReviewTx/useCases/ReviewTxScreen/ReviewTx/UTxOs/UTxOsTab.tsx
index 1b7529e0b9..41a0cf74b2 100644
--- a/apps/wallet-mobile/src/features/ReviewTx/useCases/ReviewTxScreen/ReviewTx/UTxOs/UTxOsTab.tsx
+++ b/apps/wallet-mobile/src/features/ReviewTx/useCases/ReviewTxScreen/ReviewTx/UTxOs/UTxOsTab.tsx
@@ -1,9 +1,12 @@
 import {useTheme} from '@yoroi/theme'
+import {Portfolio} from '@yoroi/types'
 import * as React from 'react'
 import {StyleSheet, Text, View} from 'react-native'
 
 import {Divider} from '../../../../../../components/Divider/Divider'
 import {Space} from '../../../../../../components/Space/Space'
+import {formatTokenWithText} from '../../../../../../yoroi-wallets/utils/format'
+import {useSelectedWallet} from '../../../../../WalletManager/common/hooks/useSelectedWallet'
 import {Accordion} from '../../../../common/Accordion'
 import {CopiableText} from '../../../../common/CopiableText'
 import {useStrings} from '../../../../common/hooks/useStrings'
@@ -13,6 +16,7 @@ import {FormattedInput, FormattedInputs, FormattedOutput, FormattedOutputs, Form
 export const UTxOsTab = ({tx}: {tx: FormattedTx}) => {
   const {styles} = useStyles()
   const strings = useStrings()
+  const {wallet} = useSelectedWallet()
 
   return (
     <View style={styles.root}>
@@ -22,7 +26,7 @@ export const UTxOsTab = ({tx}: {tx: FormattedTx}) => {
         <Inputs inputs={tx.inputs} />
       </Accordion>
 
-      <Fee fee={tx.fee.label} />
+      <Fee fee={formatTokenWithText(tx.fee.quantity, wallet.portfolioPrimaryTokenInfo)} />
 
       <Accordion label={`${strings.utxosOutputsLabel} (${tx.outputs.length})`}>
         <Outputs outputs={tx.outputs} />
@@ -67,9 +71,12 @@ const Input = ({input}: {input: FormattedInput}) => {
       <Space height="sm" />
 
       <View style={styles.tokenItems}>
-        {input.assets.map((asset, index) => (
-          <TokenItem tokenInfo={asset.tokenInfo} key={index} label={asset.label} isPrimaryToken={asset.isPrimary} />
-        ))}
+        {input.assets.map((asset, index) => {
+          const isPrimary = asset.tokenInfo.nature === Portfolio.Token.Nature.Primary
+          const label = formatTokenWithText(asset.quantity, asset.tokenInfo)
+
+          return <TokenItem tokenInfo={asset.tokenInfo} key={index} label={label} isPrimaryToken={isPrimary} />
+        })}
       </View>
     </View>
   )
@@ -98,15 +105,20 @@ const Output = ({output}: {output: FormattedOutput}) => {
       <Space height="sm" />
 
       <View style={styles.tokenItems}>
-        {output.assets.map((asset, index) => (
-          <TokenItem
-            key={index}
-            tokenInfo={asset.tokenInfo}
-            isSent={false}
-            label={asset.label}
-            isPrimaryToken={asset.isPrimary}
-          />
-        ))}
+        {output.assets.map((asset, index) => {
+          const isPrimary = asset.tokenInfo.nature === Portfolio.Token.Nature.Primary
+          const label = formatTokenWithText(asset.quantity, asset.tokenInfo)
+
+          return (
+            <TokenItem
+              key={index}
+              tokenInfo={asset.tokenInfo}
+              isSent={false}
+              label={label}
+              isPrimaryToken={isPrimary}
+            />
+          )
+        })}
       </View>
     </View>
   )