/home/sebas/outputs/inbox/ballbox-dropzone/20260601-125642-5306a480-d8fa-4fbd-8cf1-d9bea25ff9ceZ1c0d0e77f167250004697deb6ea2c5f26b285372_0.pdf: PDF document, version 1.7 (zip deflate encoded)
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PAGINA:

VISA SIGNATURE

005 - (0005) TRIBUNALES

GRUPO:

9986 - PLAN SUELDO

CUIT:

30-99903208-3

CART:

01 - 029 - S

N DE CUENTA:

1177533429

LIQ.:

N029 - 620

RESUMEN NRO.:

0039012 - 05 - 1 - CR1002

TITULAR DE CUENTA:

CASSANI VICTORIA

CIERRE ACTUAL: 28 May 26

CASSANI VICTORIA
REGINA
845 00
1611 DON TORCUATO
PROV BS AIRES
SUC: 005 CAR: 01

VENCIMIENTO

SALDO $

08 Jun 26 1.405.663,93

TNA $
TNA U$S
VTO. ANTERIOR

11 May 26 SALDO ANTERIOR $
30 Abr 26 PAGO MIN. ANT. $

CIERRE ANTERIOR
LIMITES: COMPRA

$

6272000,00 FINANCIACION

990859,67
306916,00
$ 4390400,00

Cuotas a vencer:
Junio/26
Julio/26
Agosto/26 Setiembre/26
$105.298,71 $105.298,71 $105.298,71
$68.162,50
A partir de Diciembre/26
$136.325,00
FECHA COMPROBANTE
DETALLE DE TRANSACCION
08.05.26
08.05.26
11.05.26
13.03.26
23.03.26
01.05.26
04.05.26
06.05.26
07.05.26
08.05.26
10.05.26
10.05.26
11.05.26
11.05.26
11.05.26
11.05.26
11.05.26
11.05.26
12.05.26
12.05.26
12.05.26
12.05.26
12.05.26
12.05.26
12.05.26
12.05.26
13.05.26
13.05.26
13.05.26
14.05.26
14.05.26
14.05.26
15.05.26
15.05.26
15.05.26
15.05.26
17.05.26
17.05.26
17.05.26
17.05.26
18.05.26
18.05.26
19.05.26
19.05.26
20.05.26
20.05.26
20.05.26
21.05.26
21.05.26
21.05.26
22.05.26

443863*
331440*
001285K
575063*
991027
006997K
003900K
040405
097459
764706
094092
160985
001069
591757
623439
634860Q
889087
271100
711957
018192
940990
595540
887890
539212
444565
301984
399747*
360195
118251
620821
078536
492579
099720
891272U
065635
544632
126271
165413*
335422
879030
049574
184281
374099
500712
058234
054357
338799
119952

1/ 3

SUCURSAL:

U$S

122,52

SALDO U$S PAGO MIN.$ PAGO MIN.U$S

2.694,85

1.648.681,00

68,000 %
0,000 %

TEM $
TEM U$S

PROXIMO CIERRE

5,589 %
0,000 %

02 Jul 26
13 Jul 26

PROXIMO VTO.
ADELANTO $ 627200,00

-,--

CPRA. CUOTAS

Octubre/26 Noviembre/26
$68.162,50
$68.162,50

SALDO ANTERIOR
SU PAGO EN PESOS
SU PAGO EN USD
DEV.IMP. RG 5617 30%( 170486,58)
MERPAGO*MIZUNO
Cuota 03/06
MERPAGO*PASTALINDA
Cuota 03/06
DLO*PEDIDOSYA LA JUVEN
PAX ASSISTANCE
Cuota 01/09
EBAY O*19-14587-41559
USD
359,96
DLO*PEDIDOSYA NEGRONI
DLO*PEDIDOSYA PROPINA
CH LUMIERE
USD
184,86
TABERNA LA DANIELA
EUR
52,20
MUSEO DEL PRADO
EUR
10,00
BUTRAGUENO ESTEBAN
EUR
53,95
VIVAZ ROSALEDA
EUR
29,70
ZARA MADRID PRECIADOS 18 EUR
48,94
VIANDAS DE SALAMANCA
EUR
22,45
DEKORAZONCARMEN
EUR
14,99
GOOGLE *YouTube P1l83IOz
Hotel Beursstraat
EUR
407,12


Vicky rows 58

DATE 14/05/2026
Molenmuseum De Zaanse M -5.93
CCV*OLD BRIDGE 3 -4.75

DATE 15/05/2026
AAA Premium Retail -58.58
PANCAKE & CO -12.43
QUOTDAY -16.89
MISS MANON SNC -8.65

DATE 17/05/2026
SPOTIFY -59.31
CARREFOUR CITY 2508469 -35.66
FRANPRIX 6866 -14.55

DATE 18/05/2026
AXA B2C DA 00000006712616 -9.32
Lindt Spruengli France F -42.17

DATE 19/05/2026
DT Aerobus Paris-Beauvais -65.82
BOUILLON PIGALLE -71.28

DATE 20/05/2026
FRIGIDARIUM -7.07
SEDE DI VIA DEME -47.13

DATE 21/05/2026
SUMP *FILIPPO CALABRIA -35.29
I Pizzaroli piazza Navo -23.52
BISTROT CORONARI -9.41

DATE 22/05/2026
PIZZERIA ALLE CARRETTE -28.21
IL CHIOSCO -12.93

DATE 23/05/2026
EIS SRL -11.75
TRAPIZZINO -14.09
ALL'ANTICO VINAIO -24.66
NEU*DITECH SRL -1.76
ROMACENTRO SRLS -93.95
DMS PANTHEON SELF -11.75
CREMONINI SPA -17.61

DATE 24/05/2026
I GUELFI TUSCANY FOOD -19.97
ROSSOPOMODORO STAZ TER -6.93
A&F MARKET S.R.L. -42.37
FIRENZE POR SANTA MARI -5.82
PANJERI SNC -35.23

DATE 25/05/2026
CONAD -29.84
OPENAI *CHATGPT -20.0

DATE 26/05/2026
ROOSTER FIRENZE -28.18
ULTIMA SRLS -17.61
SHA JAHAN -185.55

DATE 27/05/2026
RISTORANTE AL SOLE -34.12
BUFFET MESTRE -9.89
DESPAR -34.95


407,12
C&M*SINGEL 506
EUR
1,50
PAPIZZA
EUR
11,80
INTRUSO
EUR
12,00
KamYin BV
EUR
38,25
CROISSANTERIE OUTMAYER
EUR
18,75
TA-WHA CHIN ARTS & CRA
EUR
7,50
LA PAMPA V.O.F.
EUR
40,00
Zettle_*Sam tabak & souve EUR
6,00
De Kroon van Singel
EUR
9,99
CP*FACTURAS CLARO
Molenmuseum De Zaansche M EUR
5,00
CCV*OLD BRIDGE 3
EUR
4,00
AAA Premium Retail
EUR
49,47
PANCAKE & CO
EUR
10,50
QUOTIDAY
EUR
14,26
MISS MANON SNC
EUR
7,30
SPOTIFY
R94228X5
PHARMACIE DES HA2186695
EUR
50,28
CARREFOUR CITY 2508469
EUR
30,24
FRANPRIX 6866
EUR
12,34
AXA B2C DA
000000006712616
Lindt Spruengli France F EUR
7,90
DT Aerobus Paris-Beauvais EUR
35,80
BOUILLON PIGALLE
EUR
55,88
TONNARELLO
EUR
60,50
FRIGIDARIUM
EUR
6,00
SEDE DI VIA DEME
EUR
40,00
SUMUP *FILIPPO CALABRIA EUR
30,00
I Pizzicaroli piazza Navo EUR
20,00
BISTROT CORONARI
EUR
8,00
PIZZERIA ALLE CARRETTE
EUR
24,00

PESOS

DOLARES

990.859,67
950.000,00-

_

122,52
122,52-

51.145,9723.666,37
13.469,84
9.400,0068.162,50

_

359,96
53.409,00
700,00
184,86
62,16
11,91
64,25
35,37
58,28
26,73
17,85
2.199,00
484,92
1,79
14,06
14,29
45,56
22,33
8,93
47,63
7,14
11,90
98.022,67
5,93
4,75
58,58
12,43
16,89
8,65
5.499,00
59,31
35,66
14,55
7.741,23
9,32
42,17
65,82
71,28
7,07
47,13
35,29
23,52
9,41
28,21

¿Quiere pagar su resumen en cuotas?
Utilice Plan V de Visa
Con Plan V cancele el pago mínimo y abone el saldo hasta en 24 cuotas. Además,
Ud. tiene la posibilidad de transformar en cuotas los consumos realizados en un
pago, por ejemplo en restaurantes y espectáculos. Llame al Centro de Atención
Exclusivo Visa Signature 0800 - 222 - 7446 o ingrese en www.visa.com.ar
Lectura de datos para el pago
1177533429029005

PAGINA:
TITULAR DE CUENTA
FECHA COMPROBANTE
22.05.26
23.05.26
23.05.26
23.05.26
23.05.26
23.05.26
23.05.26
23.05.26
24.05.26
24.05.26
24.05.26
24.05.26
25.05.26
25.05.26
26.05.26
26.05.26
26.05.26
26.05.26
27.05.26
27.05.26
27.05.26

426090
173622
775342
245099
557380
473599
848549
567200
268194
483947
746599
108507
083599
724999
088474K
500809
271899
683764
880357
455112
143224

CASSANI VICTORIA

NRO.DE CUENTA 1177533429

DETALLE DE TRANSACCION
IL CHIOSCO
EUR
EIS SRL
EUR
TRAPIZZINO
EUR
ALL'ANTICO VINAIO
EUR
NEU*DITECH SRL
EUR
ROMACENTRO SRLS
EUR
DMS PANTHEON SELF
EUR
CREMONINI SPA
EUR
I GUELFI TUSCANY FOOD
EUR
ROSSOPOMODORO STAZ TER
EUR
A&F MARKET S.R.L.
EUR
FIRENZE POR SANTA MARI
EUR
PANJETAN SNC
EUR
CONAD
EUR
OPENAI *CHATGPT in1TbN7PCUSD
ROOSTER FIRENZE
EUR
ULTIMA SRLS
EUR
SHA JAHAN
EUR
RISTORANTE AL SOLE
EUR
BUFFET MESTRE
EUR
DESPAR
EUR

2/ 3

PESOS
11,00
10,00
12,00
21,00
1,50
80,00
10,00


10,00
15,00
17,00
5,90
36,08
4,95
30,00
25,41
20,00
24,00
15,00
158,00
29,00
8,40
29,70

DOLARES
12,93
11,75
14,09
24,66
1,76
93,95
11,75
17,61
19,97
6,93
42,37
5,82
35,23
29,84
20,00
28,18
17,61
185,55
34,12
9,89
34,95

Tarjeta 9972 Total Consumos de VICTORIA CASSANI
263.469,61
2.694,85 _
28.05.26
DB IVA $ 21%
5.337,19
1.120,81
28.05.26
COM.ADM.Y LIQ.DE CUENTA
5.337,19
28.05.26
IIBB PERCEP-CABA 2,00%(
7698,00)
153,96
28.05.26
IVA RG 4240 21%(
7698,00)
1.616,58
28.05.26
DB.RG 5617 30% ( 3814173,62 )
1.144.252,08
__________________________________________________________
SALDO ACTUAL
$
1.405.663,93 U$S
2.694,85
__________________________________________________________
PAGO MINIMO
$
1.648.681,00
__________________________________________________________
DEBITAREMOS DE SU C.A.00000057342757 LA SUMA DE $
1405663,93 + U$S
2694,85
_
Para reclamos y/o consultas sobre consumos, descuentos, promociones y gestión
de adicionales ingresá a www.bancociudad.com.ar, comunicate al Centro de
Atención al Cliente al 0800-22-20400 o a través de WhatsApp con BIT al
+54 9 11 5150-5050.
Si desconocés consumos de este resumen, recordá reclamar hasta 48 hs. hábiles
antes del vencimiento para que se descuente el crédito provisorio del saldo
pendiente.
_
Conforme a lo establecido en la Ley 25.065 está prohibida la capitalización
de intereses.
_
Las tasas de financiación mencionadas en el presente resumen son variables. La
tasa de interés que se aplicará a las financiaciones de tarjetas de crédito no
superará en más del 25 % al promedio de las tasas que Banco Ciudad utilizó
durante el mes inmediato anterior, para los préstamos personales sin garantías
reales otorgados en igual período ponderadas por el correspondiente monto.
Dicha tasa será publicada en el resumen de tu tarjeta.
_
Informamos que el uso de la red de cajeros automáticos podrá estar sujeto a un
cargo.
_
Para reclamos y/o consultas sobre consumos, descuentos y promociones ingresá a
www.bancociudad.com.ar o comunícate al Centro de Atención al Cliente al
0800-22-20400, donde podrás solicitar tus adicionales de la manera más sencilla
_
Aboná tu liquidación de cuenta a través de Home Banking,
www.pagomiscuentas.com.ar, www.pagoslink.com.ar, las redes de cajeros
automáticos Banelco/Link y/o adhiriéndose al servicio de débito en cuenta
bancaria.
_
El interés sobre el anticipo en efectivo se calcula desde la fecha de retiro
hasta el vencimiento de la liquidación utilizando la tasa de interés fija
vigente al momento de realizarse el anticipo.
_
Tasa de adelantos en efectivo local en 1 pago vigente al 25/01/2024: TNA
122,00%. Consulte con su entidad la tasa vigente al momento de efectuar
adelanto en el exterior.
_
*******************************************************************************
LOS CONSUMOS EN DOLARES DE SUS TARJETAS DE CREDITO PODRAN SER CANCELADOS EN ESA
MONEDA EXTRANJERA O EN PESOS, SIENDO APLICABLE COMO MAXIMO EN ESTE CASO EL TIPO
DE CAMBIO VENDEDOR (APLICABLE PARA OPERACIONES EFECTUADAS POR VENTANILLA O A
TRAVES DE MEDIOS ELECTRONICOS, SEGUN CORRESPONDA) DEL MOMENTO DE CANCELACION Y/
O DEL DIA HABIL INMEDIATO ANTERIOR. SI HUBIERA PACTADO EL DEBITO AUTOMATICO DEL
RESUMEN DE SU TARJETA, APLICARA EL TIPO DE CAMBIO VENDEDOR PARA OPERACIONES
EFECTUADAS A TRAVES DE MEDIOS ELECTRONICOS DE PAGO DEL CIERRE DEL MISMO DIA
HABIL DEL PAGO.
*******************************************************************************
_
Si estás adherido al débito automático de pago mínimo o saldo total de tu
tarjeta de crédito:
* Si querés realizar un pago, recordá ingresarlo 72 hs. hábiles antes de la
fecha de vencimiento, de lo contrario el pago podría duplicarse.
* Si al día del vencimiento de tu resumen no contas con el saldo suficiente en
tu cuenta, se realizará un débito parcial. Para el pago del saldo restante,
podrás depositar los fondos en tu cuenta de débito. El Banco realizará el cobro
al cierre del día que efectuaste el depósito, hasta 3 días hábiles antes al
cierre de tu próxima liquidación. También podrás realizar el pago a través de
TAS (Terminales de Autoservicio), Cajeros ATM o desde cualquier Home Banking
con el que operes.
Si estas adherido al débito automático del pago mínimo, de realizar algún pago
72 hs hábiles antes de la fecha de vencimiento, te informamos que:
- Si abonas un importe inferior al pago mínimo, el día del vencimiento de la
tarjeta de crédito se debitará de tu cuenta la diferencia hasta completar el
pago mínimo.
- Si abonas el importe exacto o superior al pago mínimo, el día de vencimiento

PAGINA:
TITULAR DE CUENTA

CASSANI VICTORIA

3/ 3

NRO.DE CUENTA 1177533429

de la tarjeta de crédito no se debitarán de tu cuenta importes adicionales.
Centro de Servicios: (011)4379-3400. Desde el interior del país: 0810-666-3400.
Desde el exterior, por cobro revertido: (54 11)4379-3434.
El monto de IVA discriminado no puede computarse como crédito fiscal.
Si la operación se acordó en cuotas, el monto indicado en este resumen (y en el
importe del cupón correspondiente) incluye los intereses por financiación
conforme a la tasa que el comercio informó al efectuarse la transacción.
Orientación al Consumidor Prov. de Bs.As. 0800-222-9042.
Centro de Atención Exclusivo Visa Signature: 0800-222-7446.Si viaja al exterior
comuníquese y conozca el alcance de las coberturas y servicios de su tarjeta.
Si Usted es Monotributista, el crédito fiscal discriminado en el presente
comprobante, sólo podrá ser computado a efectos del Régimen de Sostenimiento e
Inclusión Fiscal para Pequeños Contribuyentes de la Ley N° 27.618
Los intereses compensatorios o de financiación por los saldos financiados se
calculan desde la fecha de vencimiento del resumen anterior hasta la fecha del
vencimiento del resumen actual.
La tasa de interés punitorio sobre pago mínimo impago en pesos es TEM 2,794% - TNA
34,000% y para pago mínimo impago en dólares es: TEM 0,000% - TNA 0,000%.
Los intereses punitorios se calculan desde el Vto. de su resumen anterior.
*USTED DISPONE DE 30 DIAS DESDE LA RECEPCION PARA CUESTIONAR ESTE RESUMEN*

_
_
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_
_
_
_


**Updating merchant details**

I need to update the existing merchant names and amounts, ensuring there are no duplicates. For instance, I can correct spellings like QUOTDAY to QUOTIDAY and SUMUP. I've noticed we missed including PHARMACIE DES HA2186695 on the 17th and added entries like TONNARELLO on the 20th. I'm checking amounts, especially for Pharmacie, which might show as EUR 50.28, but I also need to look into the dollar sequence to clarify those details.

**Clarifying payment entries**

It seems that the 59.31 amount likely corresponds to Pharmacie, while Spotify is in pesos. I thought Pharmacie might be missing because it’s in euros, but maybe it just got cropped off the page. Spotify appears to be marked with a code and likely should not be in the USD dataset since it's a local expense. I see now that the dataset incorrectly assigned -59.31 to Spotify, and I need to fix that to keep the entries accurate.


14/05/2026 2
15/05/2026 4
17/05/2026 3
18/05/2026 2
19/05/2026 2
20/05/2026 2
21/05/2026 3
22/05/2026 2
23/05/2026 7
24/05/2026 5
25/05/2026 2
26/05/2026 3
27/05/2026 3


Successfully replaced 2 block(s) in /home/sebas/work/gastos-europa/raw/vicky-manual.txt.


edit

    ('de kroon van singel', 'Bar o restaurante sobre Singel, Ámsterdam.', 'media'),
    ('sam tabak', 'Tienda de tabaco y souvenirs en Ámsterdam.', 'alta'),

    ('de kroon van singel', 'Bar o restaurante sobre Singel, Ámsterdam.', 'media'),
    ('molenmuseum de zaansche', 'Entrada o visita al museo de Zaansche Molen.', 'alta'),
    ('old bridge', 'Tienda o retail local.', 'media'),
    ('sam tabak', 'Tienda de tabaco y souvenirs en Ámsterdam.', 'alta'),

    ('taberna la daniela', 'Taberna o restaurante madrileño.', 'alta'),
    ('deel balance', 'Recarga o movimiento interno de saldo Deel.', 'alta'),

    ('taberna la daniela', 'Taberna o restaurante madrileño.', 'alta'),
    ('pharmacie des', 'Farmacia o perfumería en Francia.', 'media'),
    ('bouillon pigalle', 'Restaurante Bouillon Pigalle en París.', 'alta'),
    ('tonnarello', 'Restaurante Tonnarello en Roma.', 'alta'),
    ('frigidarium', 'Heladería o postres en Roma.', 'media'),
    ('filippo calabria', 'Comercio o local gastronómico en Italia.', 'baja'),
    ('pizzicaroli', 'Restaurante o comida rápida italiana.', 'media'),
    ('il chiosco', 'Kiosco o local de comida.', 'media'),
    ('eis srl', 'Heladería o local de postres.', 'media'),
    ('trapizzino', 'Local de comida italiana Trapizzino.', 'alta'),
    ("all'antico vinaio", 'Sandwichería / local gastronómico All’Antico Vinaio.', 'alta'),
    ('neu*ditech', 'Tienda de electrónica o accesorios.', 'media'),
    ('romacentro', 'Comercio o servicio turístico en Roma centro.', 'baja'),
    ('dms pantheon self', 'Comercio de autoservicio cerca del Panteón.', 'media'),
    ('cremonini', 'Comida o servicio gastronómico Cremonini.', 'media'),
    ('guelfi tuscany food', 'Tienda gastronómica / alimentos de Toscana.', 'media'),
    ('rossopomodoro', 'Restaurante/pizzería Rossopomodoro.', 'alta'),
    ('panjetan', 'Comercio local; rubro exacto no confirmado.', 'baja'),
    ('rooster firenze', 'Restaurante o comida rápida en Firenze.', 'media'),
    ('ultima srls', 'Comercio local en Italia; rubro exacto no confirmado.', 'baja'),
    ('sha jahan', 'Restaurante indio o local gastronómico.', 'media'),
    ('despar', 'Supermercado Despar.', 'alta'),
    ('deel balance', 'Recarga o movimiento interno de saldo Deel.', 'alta'),

elif any(x in low for x in ['museum','anne frank','sagrada','duomo','vatic','louvreticket','versailles','prado','flagship amsterdam']): cat='attraction'

elif any(x in low for x in ['museum','anne frank','sagrada','duomo','vatic','louvreticket','versailles','prado','flagship amsterdam','molenmuseum']): cat='attraction'

elif any(x in low for x in ['mcdonald','cafe','bar','friet','restaurant','temple bar','bulldog','il primo','twinkies','lamor','karbeel','katoen','intruso','la pampa','papizza','taberna','de kroon','vivaz','pancake','bouillon','frigidarium','pizzaroli','bistrot','pizzeria','chiosco','trapizzino','antico vinaio','cremonini','guelfi','rossopomodoro','rooster','sha jahan','ristorante al sole','buffet mestre']): cat='food_drink'

elif any(x in low for x in ['mcdonald','cafe','bar','friet','restaurant','temple bar','bulldog','il primo','twinkies','lamor','karbeel','katoen','intruso','la pampa','papizza','taberna','de kroon','vivaz','pancake','bouillon','frigidarium','pizzicaroli','bistrot','pizzeria','chiosco','trapizzino','antico vinaio','cremonini','guelfi','rossopomodoro','rooster','sha jahan','ristorante al sole','buffet mestre','tonnarello']): cat='food_drink'

elif any(x in low for x in ['uniqlo','lefties','primark','el corte ingles','condomerie','phone shop','city phone','fa. b.smit','zara','dekorazon','tabak','arts & cra','butragueno','sam tabak','old bridge','premium retail','quotday','miss manon','lindt','ditech','romacentro','market s.r.l.','panjeri']): cat='shopping'

elif any(x in low for x in ['uniqlo','lefties','primark','el corte ingles','condomerie','phone shop','city phone','fa. b.smit','zara','dekorazon','tabak','arts & cra','butragueno','sam tabak','old bridge','premium retail','quotday','quotiday','miss manon','lindt','ditech','romacentro','market s.r.l.','panjeri','panjetan','pharmacie des']): cat='shopping'


Successfully replaced 5 block(s) in /home/sebas/work/gastos-europa/app/build_dataset.py.

     ...
  58     ('biglietteriamusei.vatic', 'Entrada a Museos Vaticanos.', 'alta'),
  59     ('duomo.firenze', 'Entrada al Duomo de Florencia.', 'alta'),
  60     ('museo del prado', 'Entrada al Museo del Prado.', 'alta'),
  61     ('de kroon van singel', 'Bar o restaurante sobre Singel, Ámsterdam.', 'media'),
+ 62     ('molenmuseum de zaansche', 'Entrada o visita al museo de Zaansche Molen.', 'alta'),
+ 63     ('old bridge', 'Tienda o retail local.', 'media'),
  62     ('sam tabak', 'Tienda de tabaco y souvenirs en Ámsterdam.', 'alta'),
  63     ('la pampa', 'Restaurante parrilla.', 'alta'),
  64     ('c&m*singel', 'Comercio pequeño sobre Singel 506, Ámsterdam; rubro exacto no confirmado.', 'baja'),
  65     ('croissanterie outmayer', 'Panadería o cafetería.', 'media'),
     ...
  73     ('viandas de salamanca', 'Tienda gourmet / fiambres / alimentos.', 'alta'),
  74     ('dekorazoncarmen', 'Tienda de decoración o regalos en Madrid.', 'media'),
  75     ('ch lumiere', 'Alojamiento en Madrid o reserva de hotel al inicio del viaje.', 'media'),
  76     ('taberna la daniela', 'Taberna o restaurante madrileño.', 'alta'),
+ 79     ('pharmacie des', 'Farmacia o perfumería en Francia.', 'media'),
+ 80     ('bouillon pigalle', 'Restaurante Bouillon Pigalle en París.', 'alta'),
+ 81     ('tonnarello', 'Restaurante Tonnarello en Roma.', 'alta'),
+ 82     ('frigidarium', 'Heladería o postres en Roma.', 'media'),
+ 83     ('filippo calabria', 'Comercio o local gastronómico en Italia.', 'baja'),
+ 84     ('pizzicaroli', 'Restaurante o comida rápida italiana.', 'media'),
+ 85     ('il chiosco', 'Kiosco o local de comida.', 'media'),
+ 86     ('eis srl', 'Heladería o local de postres.', 'media'),
+ 87     ('trapizzino', 'Local de comida italiana Trapizzino.', 'alta'),
+ 88     ("all'antico vinaio", 'Sandwichería / local gastronómico All’Antico Vinaio.', 'alta'),
+ 89     ('neu*ditech', 'Tienda de electrónica o accesorios.', 'media'),
+ 90     ('romacentro', 'Comercio o servicio turístico en Roma centro.', 'baja'),
+ 91     ('dms pantheon self', 'Comercio de autoservicio cerca del Panteón.', 'media'),
+ 92     ('cremonini', 'Comida o servicio gastronómico Cremonini.', 'media'),
+ 93     ('guelfi tuscany food', 'Tienda gastronómica / alimentos de Toscana.', 'media'),
+ 94     ('rossopomodoro', 'Restaurante/pizzería Rossopomodoro.', 'alta'),
+ 95     ('panjetan', 'Comercio local; rubro exacto no confirmado.', 'baja'),
+ 96     ('rooster firenze', 'Restaurante o comida rápida en Firenze.', 'media'),
+ 97     ('ultima srls', 'Comercio local en Italia; rubro exacto no confirmado.', 'baja'),
+ 98     ('sha jahan', 'Restaurante indio o local gastronómico.', 'media'),
+ 99     ('despar', 'Supermercado Despar.', 'alta'),
  77     ('deel balance', 'Recarga o movimiento interno de saldo Deel.', 'alta'),
  78     ('airbnb', 'Cobro, autorización o reverso vinculado a Airbnb.', 'media'),
  79     ('deel', 'Transferencia o pago recibido vía Deel.', 'alta'),
  80     ('interactive brok', 'Transferencia desde Interactive Brokers.', 'alta'),
     ...
 158     fee=('fee for international transaction' in low or 'monthly account service fee' in low)
 159     cat='other'; country=''; trip='europe_trip'
 160     if fee: cat='fee'
 161     elif any(x in low for x in ['omio','goeuro','cabify','uber','ns ','ns-','schiphol','aerop.','airport','luchthaven','aerobus']): cat='transport'
-162     elif any(x in low for x in ['museum','anne frank','sagrada','duomo','vatic','louvreticket','versailles','prado','flagship amsterdam']): cat='attraction'
+185     elif any(x in low for x in ['museum','anne frank','sagrada','duomo','vatic','louvreticket','versailles','prado','flagship amsterdam','molenmuseum']): cat='attraction'
 163     elif any(x in low for x in ['albert heijn','jumbo','super','croissanterie','kamyin','viandas','carrefour','franprix','despar','conad']): cat='groceries'
-164     elif any(x in low for x in ['mcdonald','cafe','bar','friet','restaurant','temple bar','bulldog','il primo','twinkies','lamor','karbeel','katoen','intruso','la pampa','papizza','taberna','de kroon','vivaz','pancake','bouillon','frigidarium','pizzaroli','bistrot','pizzeria','chiosco','trapizzino','antico vinaio','cremonini','guelfi','rossopomodoro','rooster','sha jahan','ristorante al sole','buffet mestre']): cat='food_drink'
-165     elif any(x in low for x in ['uniqlo','lefties','primark','el corte ingles','condomerie','phone shop','city phone','fa. b.smit','zara','dekorazon','tabak','arts & cra','butragueno','sam tabak','old bridge','premium retail','quotday','miss manon','lindt','ditech','romacentro','market s.r.l.','panjeri']): cat='shopping'
+187     elif any(x in low for x in ['mcdonald','cafe','bar','friet','restaurant','temple bar','bulldog','il primo','twinkies','lamor','karbeel','katoen','intruso','la pampa','papizza','taberna','de kroon','vivaz','pancake','bouillon','frigidarium','pizzicaroli','bistrot','pizzeria','chiosco','trapizzino','antico vinaio','cremonini','guelfi','rossopomodoro','rooster','sha jahan','ristorante al sole','buffet mestre','tonnarello']): cat='food_drink'
+188     elif any(x in low for x in ['uniqlo','lefties','primark','el corte ingles','condomerie','phone shop','city phone','fa. b.smit','zara','dekorazon','tabak','arts & cra','butragueno','sam tabak','old bridge','premium retail','quotday','quotiday','miss manon','lindt','ditech','romacentro','market s.r.l.','panjeri','panjetan','pharmacie des']): cat='shopping'
 166     elif any(x in low for x in ['hotel','ch lumiere','beursstraat','village rosa']): cat='lodging'
 167     elif any(x in low for x in ['openai','claude.ai','aws.amazon','vercel','spotify']): cat='subscription'; trip='non_trip'
 168     elif any(x in low for x in ['airbnb']): cat='lodging'; trip='europe_trip' if e['source_ref'] in DEEL_AIRBNB_PHOTOS else 'non_trip'
 169     elif any(x in low for x in ['deel balance','deel','interactive brok']): cat='transfer'; trip='non_trip'
     ...

--- /home/sebas/work/gastos-europa/app/build_dataset.py
+++ /home/sebas/work/gastos-europa/app/build_dataset.py
@@ -58,8 +58,10 @@
     ('biglietteriamusei.vatic', 'Entrada a Museos Vaticanos.', 'alta'),
     ('duomo.firenze', 'Entrada al Duomo de Florencia.', 'alta'),
     ('museo del prado', 'Entrada al Museo del Prado.', 'alta'),
     ('de kroon van singel', 'Bar o restaurante sobre Singel, Ámsterdam.', 'media'),
+    ('molenmuseum de zaansche', 'Entrada o visita al museo de Zaansche Molen.', 'alta'),
+    ('old bridge', 'Tienda o retail local.', 'media'),
     ('sam tabak', 'Tienda de tabaco y souvenirs en Ámsterdam.', 'alta'),
     ('la pampa', 'Restaurante parrilla.', 'alta'),
     ('c&m*singel', 'Comercio pequeño sobre Singel 506, Ámsterdam; rubro exacto no confirmado.', 'baja'),
     ('croissanterie outmayer', 'Panadería o cafetería.', 'media'),
@@ -73,8 +75,29 @@
     ('viandas de salamanca', 'Tienda gourmet / fiambres / alimentos.', 'alta'),
     ('dekorazoncarmen', 'Tienda de decoración o regalos en Madrid.', 'media'),
     ('ch lumiere', 'Alojamiento en Madrid o reserva de hotel al inicio del viaje.', 'media'),
     ('taberna la daniela', 'Taberna o restaurante madrileño.', 'alta'),
+    ('pharmacie des', 'Farmacia o perfumería en Francia.', 'media'),
+    ('bouillon pigalle', 'Restaurante Bouillon Pigalle en París.', 'alta'),
+    ('tonnarello', 'Restaurante Tonnarello en Roma.', 'alta'),
+    ('frigidarium', 'Heladería o postres en Roma.', 'media'),
+    ('filippo calabria', 'Comercio o local gastronómico en Italia.', 'baja'),
+    ('pizzicaroli', 'Restaurante o comida rápida italiana.', 'media'),
+    ('il chiosco', 'Kiosco o local de comida.', 'media'),
+    ('eis srl', 'Heladería o local de postres.', 'media'),
+    ('trapizzino', 'Local de comida italiana Trapizzino.', 'alta'),
+    ("all'antico vinaio", 'Sandwichería / local gastronómico All’Antico Vinaio.', 'alta'),
+    ('neu*ditech', 'Tienda de electrónica o accesorios.', 'media'),
+    ('romacentro', 'Comercio o servicio turístico en Roma centro.', 'baja'),
+    ('dms pantheon self', 'Comercio de autoservicio cerca del Panteón.', 'media'),
+    ('cremonini', 'Comida o servicio gastronómico Cremonini.', 'media'),
+    ('guelfi tuscany food', 'Tienda gastronómica / alimentos de Toscana.', 'media'),
+    ('rossopomodoro', 'Restaurante/pizzería Rossopomodoro.', 'alta'),
+    ('panjetan', 'Comercio local; rubro exacto no confirmado.', 'baja'),
+    ('rooster firenze', 'Restaurante o comida rápida en Firenze.', 'media'),
+    ('ultima srls', 'Comercio local en Italia; rubro exacto no confirmado.', 'baja'),
+    ('sha jahan', 'Restaurante indio o local gastronómico.', 'media'),
+    ('despar', 'Supermercado Despar.', 'alta'),
     ('deel balance', 'Recarga o movimiento interno de saldo Deel.', 'alta'),
     ('airbnb', 'Cobro, autorización o reverso vinculado a Airbnb.', 'media'),
     ('deel', 'Transferencia o pago recibido vía Deel.', 'alta'),
     ('interactive brok', 'Transferencia desde Interactive Brokers.', 'alta'),
@@ -158,12 +181,12 @@
     fee=('fee for international transaction' in low or 'monthly account service fee' in low)
     cat='other'; country=''; trip='europe_trip'
     if fee: cat='fee'
     elif any(x in low for x in ['omio','goeuro','cabify','uber','ns ','ns-','schiphol','aerop.','airport','luchthaven','aerobus']): cat='transport'
-    elif any(x in low for x in ['museum','anne frank','sagrada','duomo','vatic','louvreticket','versailles','prado','flagship amsterdam']): cat='attraction'
+    elif any(x in low for x in ['museum','anne frank','sagrada','duomo','vatic','louvreticket','versailles','prado','flagship amsterdam','molenmuseum']): cat='attraction'
     elif any(x in low for x in ['albert heijn','jumbo','super','croissanterie','kamyin','viandas','carrefour','franprix','despar','conad']): cat='groceries'
-    elif any(x in low for x in ['mcdonald','cafe','bar','friet','restaurant','temple bar','bulldog','il primo','twinkies','lamor','karbeel','katoen','intruso','la pampa','papizza','taberna','de kroon','vivaz','pancake','bouillon','frigidarium','pizzaroli','bistrot','pizzeria','chiosco','trapizzino','antico vinaio','cremonini','guelfi','rossopomodoro','rooster','sha jahan','ristorante al sole','buffet mestre']): cat='food_drink'
-    elif any(x in low for x in ['uniqlo','lefties','primark','el corte ingles','condomerie','phone shop','city phone','fa. b.smit','zara','dekorazon','tabak','arts & cra','butragueno','sam tabak','old bridge','premium retail','quotday','miss manon','lindt','ditech','romacentro','market s.r.l.','panjeri']): cat='shopping'
+    elif any(x in low for x in ['mcdonald','cafe','bar','friet','restaurant','temple bar','bulldog','il primo','twinkies','lamor','karbeel','katoen','intruso','la pampa','papizza','taberna','de kroon','vivaz','pancake','bouillon','frigidarium','pizzicaroli','bistrot','pizzeria','chiosco','trapizzino','antico vinaio','cremonini','guelfi','rossopomodoro','rooster','sha jahan','ristorante al sole','buffet mestre','tonnarello']): cat='food_drink'
+    elif any(x in low for x in ['uniqlo','lefties','primark','el corte ingles','condomerie','phone shop','city phone','fa. b.smit','zara','dekorazon','tabak','arts & cra','butragueno','sam tabak','old bridge','premium retail','quotday','quotiday','miss manon','lindt','ditech','romacentro','market s.r.l.','panjeri','panjetan','pharmacie des']): cat='shopping'
     elif any(x in low for x in ['hotel','ch lumiere','beursstraat','village rosa']): cat='lodging'
     elif any(x in low for x in ['openai','claude.ai','aws.amazon','vercel','spotify']): cat='subscription'; trip='non_trip'
     elif any(x in low for x in ['airbnb']): cat='lodging'; trip='europe_trip' if e['source_ref'] in DEEL_AIRBNB_PHOTOS else 'non_trip'
     elif any(x in low for x in ['deel balance','deel','interactive brok']): cat='transfer'; trip='non_trip'


bash

cp -n /home/sebas/outputs/inbox/ballbox-dropzone/20260601-125642-5306a480-d8fa-4fbd-8cf1-d9bea25ff9ceZ1c0d0e77f167250004697deb6ea2c5f26b285372_0.pdf /home/sebas/work/gastos-europa/raw/source-docs/ && python3 /home/sebas/work/gastos-europa/app/build_dataset.py && jq '.count, .manual_vicky_count, .expense_total_trip, .expense_total_non_trip' /home/sebas/work/gastos-europa/derived/summary.json

python3 - <<'PY'
import json, pathlib
rows=json.loads(pathlib.Path('/home/sebas/work/gastos-europa/derived/transactions.json').read_text())
for d in ['17/05/2026','20/05/2026']:
    print('\nDATE',d)
    for r in rows:
        if r['paid_by']=='V' and r['date']==d:
            print(r['merchant'], r['amount_usd'], r['category_guess'], r['trip_scope'])
PY


184
59
8130.47
773.34


DATE 17/05/2026
SPOTIFY -59.31 subscription non_trip
CARREFOUR CITY 2508469 -35.66 groceries europe_trip
FRANPRIX 6866 -14.55 groceries europe_trip

DATE 20/05/2026
FRIGIDARIUM -7.07 food_drink europe_trip
SEDE DI VIA DEME -47.13 other europe_trip


grep -n 'SPOTIFY\|PHARMACIE\|TONNARELLO' /home/sebas/work/gastos-europa/raw/vicky-manual.txt && python3 - <<'PY'
import json, pathlib
rows=json.loads(pathlib.Path('/home/sebas/work/gastos-europa/derived/transactions.json').read_text())
for r in rows:
    if r['paid_by']=='V' and ('SPOTIFY' in r['merchant'] or 'PHARMACIE' in r['merchant'] or 'TONNARELLO' in r['merchant']):
        print(r['date'], r['merchant'], r['amount_usd'])
PY


54:- PHARMACIE DES HA2186695 — -$59.31
68:- TONNARELLO — -$71.28
17/05/2026 PHARMACIE DES HA2186695 -59.31
20/05/2026 TONNARELLO -71.28


**Investigating query results**

I'm wondering why my earlier query showed Spotify. Could it be that it was a stale result due to how the ordering was done? I think I should inspect the date from the 17th and look through all the rows to see if Spotify is still included. Maybe I need to search more thoroughly for any older records that might have come up with it. Let’s explore that!

python3 - <<'PY'
import json, pathlib
rows=json.loads(pathlib.Path('/home/sebas/work/gastos-europa/derived/transactions.json').read_text())
for r in rows:
    if r['date']=='17/05/2026' and r['paid_by']=='V':
        print(r)
PY


{'source': 'vicky_manual', 'source_ref': 'vicky-manual', 'paid_by': 'V', 'date': '17/05/2026', 'status': 'manual', 'merchant': 'PHARMACIE DES HA2186695', 'amount_usd': -59.31, 'id': 'vicky-manual:150', 'type': 'expense', 'is_fee': False, 'category_guess': 'shopping', 'country_guess': '', 'trip_scope': 'europe_trip', 'allocation': '', 'description': 'Farmacia o perfumería en Francia.', 'description_confidence': 'media', 'description_source': 'known_or_web'}
{'source': 'vicky_manual', 'source_ref': 'vicky-manual', 'paid_by': 'V', 'date': '17/05/2026', 'status': 'manual', 'merchant': 'CARREFOUR CITY 2508469', 'amount_usd': -35.66, 'id': 'vicky-manual:151', 'type': 'expense', 'is_fee': False, 'category_guess': 'groceries', 'country_guess': '', 'trip_scope': 'europe_trip', 'allocation': '', 'description': 'Compra de supermercado o alimentos.', 'description_confidence': 'media', 'description_source': 'heuristic'}
{'source': 'vicky_manual', 'source_ref': 'vicky-manual', 'paid_by': 'V', 'date': '17/05/2026', 'status': 'manual', 'merchant': 'FRANPRIX 6866', 'amount_usd': -14.55, 'id': 'vicky-manual:152', 'type': 'expense', 'is_fee': False, 'category_guess': 'groceries', 'country_guess': '', 'trip_scope': 'europe_trip', 'allocation': '', 'description': 'Compra de supermercado o alimentos.', 'description_confidence': 'media', 'description_source': 'heuristic'}


**Verifying totals and corrections**

I noticed a stale typo from my earlier output, which is a bit odd. I need to verify the totals to ensure everything is accurate and maybe mention those previous mistakes to clarify things. I’m wondering if I should also add a guess about the country, but then again, that might not be necessary. It’s all about making sure the information is correct for the user!


Updated #2 (pending → completed)

Procesar nuevos archivos de /dropzone a gastos europa

Leer archivos subidos en la última hora a /dropzone, extraer gastos, y agregarlos/actualizarlos en el sistema 'gastos europa' sin duplicar; consultar ante dudas.

Procesar nueva versión legible de gastos Vicky

Leer nuevos archivos más legibles de Vicky, actualizar gastos-europa sin duplicar y corregir datos previos si aplica.


Listo.

Usé el PDF más legible y actualicé.

Cambios:
- corregí varios nombres/lecturas
- sumé faltantes que no se veían bien antes:
  - PHARMACIE DES... — 17/05
  - TONNARELLO — 20/05
- corregí falsos/lecturas flojas del intento anterior
- guardé el PDF nuevo en:
  - `/home/sebas/work/gastos-europa/raw/source-docs/`

Estado:
- transacciones totales: 184
- gastos Vicky cargados: 59

Importante:
- el cargo `SPOTIFY` no quedó como gasto Europa;
  era confusión del resumen y quedó corregido.
- los datos de 14/05 a 27/05 ahora salen del PDF legible, mejor que la foto.

Si querés, siguiente paso:
- reviso duplicados/pending-posted
- o te saco resumen neto Sebas vs Vicky.


[telegram] Agrégame a la página una opción para borrar gastos, en caso de no pertenecer a europa
que borre persistente


**Evaluating app inspection**

I think I need to inspect the app to see if I can implement a delete feature for persistent data. I wonder if I actually need to ask anyone about it, or if I can figure it out on my own. It seems like I might be able to handle this through an exclusions file, while keeping track of tasks with a todo list. I just want to make sure I’m going about this the right way!

todo

Agregar borrado persistente de gastos en gastos-europa

Añadir opción en la página para borrar gastos que no pertenezcan a Europa, con persistencia server-side y rebuild respetando exclusiones.


Created #3: Agregar borrado persistente de gastos en gastos-europa (pending)


bash

cd /home/sebas/work/gastos-europa && jq 'keys' data/allocations.json | sed -n '1,120p'


<!doctype html>
<meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover">
<title>gastos-europa</title>

gastos-europa

Cargando…

Lectura rápida

Por categoría viaje

Por país viaje

    <input id="q" placeholder="buscar" oninput="render()">
    <select id="trip" onchange="render()">
      <option value="">scope</option>
      <option value="europe_trip">viaje europa</option>
      <option value="non_trip">no viaje</option>
    </select>
    <select id="typ" onchange="render()">
      <option value="">tipo</option>
      <option value="expense">gastos</option>
      <option value="income">ingresos</option>
      <option value="fees">fees</option>
    </select>
    <select id="paidBy" onchange="render()">
      <option value="">pagó</option>
      <option value="S">Sebas</option>
      <option value="V">Vicky</option>
    </select>
    <select id="cat" onchange="render()"></select>
    <select id="classified" onchange="render()">
      <option value="">clasificado?</option>
      <option value="yes">sí</option>
      <option value="no">no</option>
    </select>

origen	fecha	movimiento	cat	usd	marcar


#!/usr/bin/env python3
import json
import os
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from pathlib import Path

BASE = Path('/home/sebas/work/gastos-europa')
APP = BASE / 'app'
DERIVED = BASE / 'derived'
DATA = BASE / 'data'
HTML = BASE / 'analysis.html'
TX = DERIVED / 'transactions.json'
SUMMARY = DERIVED / 'summary.json'
ALLOC = DATA / 'allocations.json'
HOST = '127.0.0.1'
PORT = 18896

def read_json(path, default):
    try:
        return json.loads(path.read_text())
    except Exception:
        return default

def write_json(path, obj):
    path.parent.mkdir(parents=True, exist_ok=True)
    tmp = path.with_suffix(path.suffix + '.tmp')
    tmp.write_text(json.dumps(obj, indent=2, ensure_ascii=False) + '\n')
    os.replace(tmp, path)

class Handler(BaseHTTPRequestHandler):
    def _send(self, code, body, ctype='application/json; charset=utf-8'):
        body_b = body.encode('utf-8') if isinstance(body, str) else body
        self.send_response(code)
        self.send_header('Content-Type', ctype)
        self.send_header('Content-Length', str(len(body_b)))
        self.send_header('Cache-Control', 'no-store')
        self.end_headers()
        self.wfile.write(body_b)

    def _json(self, code, obj):
        self._send(code, json.dumps(obj, ensure_ascii=False), 'application/json; charset=utf-8')

    def do_GET(self):
        if self.path in ('/', '/index.html'):
            return self._send(200, HTML.read_text(), 'text/html; charset=utf-8')
        if self.path == '/api/data':
            payload = {
                'transactions': read_json(TX, []),
                'summary': read_json(SUMMARY, {}),
                'allocations': read_json(ALLOC, {}),
            }
            return self._json(200, payload)
        if self.path == '/api/allocations':
            return self._json(200, read_json(ALLOC, {}))
        if self.path == '/healthz':
            return self._json(200, {'ok': True})
        return self._json(404, {'error': 'not found'})

    def do_POST(self):
        if self.path != '/api/allocations':
            return self._json(404, {'error': 'not found'})
        try:
            length = int(self.headers.get('Content-Length', '0'))
            raw = self.rfile.read(length).decode('utf-8') if length else '{}'
            body = json.loads(raw or '{}')
        except Exception as e:
            return self._json(400, {'error': 'bad json', 'detail': str(e)})
        current = read_json(ALLOC, {})
        if isinstance(body, dict) and 'id' in body:
            ident = str(body.get('id', '')).strip()
            val = str(body.get('allocation', '')).strip()
            if not ident:
                return self._json(400, {'error': 'missing id'})
            if val:
                current[ident] = val
            else:
                current.pop(ident, None)
            write_json(ALLOC, current)
            return self._json(200, {'ok': True, 'allocations': current})
        if isinstance(body, dict) and 'allocations' in body and isinstance(body['allocations'], dict):
            clean = {str(k): str(v) for k, v in body['allocations'].items() if str(v).strip()}
            write_json(ALLOC, clean)
            return self._json(200, {'ok': True, 'allocations': clean})
        return self._json(400, {'error': 'expected {id, allocation} or {allocations}'})

    def log_message(self, fmt, *args):
        return

if __name__ == '__main__':
    server = ThreadingHTTPServer((HOST, PORT), Handler)
    server.serve_forever()


cd /home/sebas/work/gastos-europa && systemctl --user status gastos-europa.service --no-pager | sed -n '1,80p'


[Unit]
Description=Gastos Europa app
After=network.target

[Service]
Type=simple
User=sebas
WorkingDirectory=/home/sebas/work/gastos-europa
ExecStart=/usr/bin/python3 /home/sebas/work/gastos-europa/app/server.py
Restart=always
RestartSec=2

[Install]
WantedBy=multi-user.target


Unit gastos-europa.service could not be found.


systemctl status gastos-europa.service --no-pager | sed -n '1,120p'


● gastos-europa.service - Gastos Europa app
     Loaded: loaded (/etc/systemd/system/gastos-europa.service; enabled; preset: enabled)
     Active: active (running) since Fri 2026-05-15 09:08:49 -03; 2 weeks 3 days ago
 Invocation: 14ab588d36fb4a4c9b86d6d9822d9582
   Main PID: 1817062 (python3)
      Tasks: 1 (limit: 9575)
        CPU: 1min 20.323s
     CGroup: /system.slice/gastos-europa.service
             └─1817062 /usr/bin/python3 /home/sebas/work/gastos-europa/app/server.py

Notice: journal has been rotated since unit was started, output may be incomplete.


edit

import re, json, csv
from collections import defaultdict
from pathlib import Path

BASE = Path('/home/sebas/work/gastos-europa')
SRC = BASE / 'raw' / 'extracted-text.txt'
VSRC = BASE / 'raw' / 'vicky-manual.txt'
OUT = BASE / 'derived'
DATA = BASE / 'data'
EXCLUDED = DATA / 'excluded.json'

def tx_key(e):
    return '|'.join([
        e.get('source',''),
        e.get('source_ref',''),
        e.get('paid_by',''),
        e.get('date',''),
        e.get('status',''),
        e.get('merchant',''),
        f"{e.get('amount_usd', 0):.2f}",
    ])

def excluded_keys():
    try:
        data = json.loads(EXCLUDED.read_text())
        if isinstance(data, list):
            return {str(x) for x in data if str(x).strip()}
        if isinstance(data, dict):
            return {str(k) for k,v in data.items() if v}
    except Exception:
        pass
    return set()

def enrich(e, idx):

def build():
    OUT.mkdir(parents=True, exist_ok=True)
    entries=[enrich(e,i+1) for i,e in enumerate(parse_sources())]
    (OUT/'transactions.json').write_text(json.dumps(entries, indent=2, ensure_ascii=False))

def build():
    OUT.mkdir(parents=True, exist_ok=True)
    excluded = excluded_keys()
    all_entries=[enrich(e,i+1) for i,e in enumerate(parse_sources())]
    entries=[e for e in all_entries if e.get('tx_key') not in excluded]
    (OUT/'transactions.json').write_text(json.dumps(entries, indent=2, ensure_ascii=False))

summary={'count':len(entries),'image_count':len({e['source_ref'] for e in entries if e['source']=='sebas_bank'}),'manual_vicky_count':len([e for e in entries if e['paid_by']=='V']),'expense_total_all':round(-sum_all,2),'expense_total_trip':round(-sum_trip,2),'expense_total_non_trip':round(-sum_nontrip,2),'fees_total':round(-sum_fees,2),'income_total':round(sum_income,2),'by_category_trip':dict(sorted(by_cat.items(), key=lambda kv: kv[1], reverse=True)),'by_country_trip':dict(sorted(by_country.items(), key=lambda kv: kv[1], reverse=True)),'by_payer_trip':dict(sorted(by_payer.items()))}

summary={'count':len(entries),'excluded_count':len(all_entries)-len(entries),'image_count':len({e['source_ref'] for e in entries if e['source']=='sebas_bank'}),'manual_vicky_count':len([e for e in entries if e['paid_by']=='V']),'expense_total_all':round(-sum_all,2),'expense_total_trip':round(-sum_trip,2),'expense_total_non_trip':round(-sum_nontrip,2),'fees_total':round(-sum_fees,2),'income_total':round(sum_income,2),'by_category_trip':dict(sorted(by_cat.items(), key=lambda kv: kv[1], reverse=True)),'by_country_trip':dict(sorted(by_country.items(), key=lambda kv: kv[1], reverse=True)),'by_payer_trip':dict(sorted(by_payer.items()))}


     ...
   6 BASE = Path('/home/sebas/work/gastos-europa')
   7 SRC = BASE / 'raw' / 'extracted-text.txt'
   8 VSRC = BASE / 'raw' / 'vicky-manual.txt'
   9 OUT = BASE / 'derived'
+ 10 DATA = BASE / 'data'
+ 11 EXCLUDED = DATA / 'excluded.json'
  10
  11 KNOWN = [
  12     ('albert heijn', 'Supermercado neerlandés.', 'alta'),
  13     ('jumbo', 'Cadena de supermercado en Países Bajos.', 'alta'),
     ...
 172
 173 DEEL_AIRBNB_PHOTOS = {'photo-1389.jpg', 'photo-1390.jpg', 'photo-1391.jpg'}
 174
 175
+178 def tx_key(e):
+179     return '|'.join([
+180         e.get('source',''),
+181         e.get('source_ref',''),
+182         e.get('paid_by',''),
+183         e.get('date',''),
+184         e.get('status',''),
+185         e.get('merchant',''),
+186         f"{e.get('amount_usd', 0):.2f}",
+187     ])
+188
+189
+190 def excluded_keys():
+191     try:
+192         data = json.loads(EXCLUDED.read_text())
+193         if isinstance(data, list):
+194             return {str(x) for x in data if str(x).strip()}
+195         if isinstance(data, dict):
+196             return {str(k) for k,v in data.items() if v}
+197     except Exception:
+198         pass
+199     return set()
+200
+201
 176 def enrich(e, idx):
 177     merchant=e['merchant']; low=merchant.lower(); amt=e['amount_usd']
 178     if e['source_ref'] in DEEL_AIRBNB_PHOTOS and 'airbnb' in low and amt > 0:
 179         amt = -amt
     ...
 204     if e['source_ref'] in DEEL_AIRBNB_PHOTOS and 'airbnb' in low:
 205         desc = 'Alojamiento de Airbnb del viaje Europa.'
 206         conf = 'alta'
 207         desc_source = 'user_confirmed'
-208     return {**e,'amount_usd':amt,'id':f"{e['source_ref']}:{idx}",'type':typ,'is_fee':fee,'category_guess':cat,'country_guess':country,'trip_scope':trip,'allocation':'','description':desc,'description_confidence':conf,'description_source':desc_source}
+234     return {**e,'amount_usd':amt,'tx_key':tx_key({**e, 'amount_usd': amt}),'id':f"{e['source_ref']}:{idx}",'type':typ,'is_fee':fee,'category_guess':cat,'country_guess':country,'trip_scope':trip,'allocation':'','description':desc,'description_confidence':conf,'description_source':desc_source}
 209
 210
 211 def build():
 212     OUT.mkdir(parents=True, exist_ok=True)
-213     entries=[enrich(e,i+1) for i,e in enumerate(parse_sources())]
+239     excluded = excluded_keys()
+240     all_entries=[enrich(e,i+1) for i,e in enumerate(parse_sources())]
+241     entries=[e for e in all_entries if e.get('tx_key') not in excluded]
 214     (OUT/'transactions.json').write_text(json.dumps(entries, indent=2, ensure_ascii=False))
 215     with (OUT/'transactions.csv').open('w', newline='') as f:
 216         w=csv.DictWriter(f, fieldnames=list(entries[0].keys())); w.writeheader(); w.writerows(entries)
 217     sum_all=sum(e['amount_usd'] for e in entries if e['type']=='expense')
     ...
 224         if e['type']=='expense' and e['trip_scope']=='europe_trip':
 225             by_cat[e['category_guess']]+= -e['amount_usd']
 226             by_country[e['country_guess'] or 'unknown']+= -e['amount_usd']
 227             by_payer[e['paid_by']]+= -e['amount_usd']
-228     summary={'count':len(entries),'image_count':len({e['source_ref'] for e in entries if e['source']=='sebas_bank'}),'manual_vicky_count':len([e for e in entries if e['paid_by']=='V']),'expense_total_all':round(-sum_all,2),'expense_total_trip':round(-sum_trip,2),'expense_total_non_trip':round(-sum_nontrip,2),'fees_total':round(-sum_fees,2),'income_total':round(sum_income,2),'by_category_trip':dict(sorted(by_cat.items(), key=lambda kv: kv[1], reverse=True)),'by_country_trip':dict(sorted(by_country.items(), key=lambda kv: kv[1], reverse=True)),'by_payer_trip':dict(sorted(by_payer.items()))}
+256     summary={'count':len(entries),'excluded_count':len(all_entries)-len(entries),'image_count':len({e['source_ref'] for e in entries if e['source']=='sebas_bank'}),'manual_vicky_count':len([e for e in entries if e['paid_by']=='V']),'expense_total_all':round(-sum_all,2),'expense_total_trip':round(-sum_trip,2),'expense_total_non_trip':round(-sum_nontrip,2),'fees_total':round(-sum_fees,2),'income_total':round(sum_income,2),'by_category_trip':dict(sorted(by_cat.items(), key=lambda kv: kv[1], reverse=True)),'by_country_trip':dict(sorted(by_country.items(), key=lambda kv: kv[1], reverse=True)),'by_payer_trip':dict(sorted(by_payer.items()))}
 229     (OUT/'summary.json').write_text(json.dumps(summary, indent=2, ensure_ascii=False))
 230
 231 if __name__ == '__main__':
 232     build()

--- /home/sebas/work/gastos-europa/app/build_dataset.py
+++ /home/sebas/work/gastos-europa/app/build_dataset.py
@@ -6,8 +6,10 @@
 BASE = Path('/home/sebas/work/gastos-europa')
 SRC = BASE / 'raw' / 'extracted-text.txt'
 VSRC = BASE / 'raw' / 'vicky-manual.txt'
 OUT = BASE / 'derived'
+DATA = BASE / 'data'
+EXCLUDED = DATA / 'excluded.json'

 KNOWN = [
     ('albert heijn', 'Supermercado neerlandés.', 'alta'),
     ('jumbo', 'Cadena de supermercado en Países Bajos.', 'alta'),
@@ -172,8 +174,32 @@

 DEEL_AIRBNB_PHOTOS = {'photo-1389.jpg', 'photo-1390.jpg', 'photo-1391.jpg'}

+def tx_key(e):
+    return '|'.join([
+        e.get('source',''),
+        e.get('source_ref',''),
+        e.get('paid_by',''),
+        e.get('date',''),
+        e.get('status',''),
+        e.get('merchant',''),
+        f"{e.get('amount_usd', 0):.2f}",
+    ])
+
+
+def excluded_keys():
+    try:
+        data = json.loads(EXCLUDED.read_text())
+        if isinstance(data, list):
+            return {str(x) for x in data if str(x).strip()}
+        if isinstance(data, dict):
+            return {str(k) for k,v in data.items() if v}
+    except Exception:
+        pass
+    return set()
+
+
 def enrich(e, idx):
     merchant=e['merchant']; low=merchant.lower(); amt=e['amount_usd']
     if e['source_ref'] in DEEL_AIRBNB_PHOTOS and 'airbnb' in low and amt > 0:
         amt = -amt
@@ -204,14 +230,16 @@
     if e['source_ref'] in DEEL_AIRBNB_PHOTOS and 'airbnb' in low:
         desc = 'Alojamiento de Airbnb del viaje Europa.'
         conf = 'alta'
         desc_source = 'user_confirmed'
-    return {**e,'amount_usd':amt,'id':f"{e['source_ref']}:{idx}",'type':typ,'is_fee':fee,'category_guess':cat,'country_guess':country,'trip_scope':trip,'allocation':'','description':desc,'description_confidence':conf,'description_source':desc_source}
+    return {**e,'amount_usd':amt,'tx_key':tx_key({**e, 'amount_usd': amt}),'id':f"{e['source_ref']}:{idx}",'type':typ,'is_fee':fee,'category_guess':cat,'country_guess':country,'trip_scope':trip,'allocation':'','description':desc,'description_confidence':conf,'description_source':desc_source}

 def build():
     OUT.mkdir(parents=True, exist_ok=True)
-    entries=[enrich(e,i+1) for i,e in enumerate(parse_sources())]
+    excluded = excluded_keys()
+    all_entries=[enrich(e,i+1) for i,e in enumerate(parse_sources())]
+    entries=[e for e in all_entries if e.get('tx_key') not in excluded]
     (OUT/'transactions.json').write_text(json.dumps(entries, indent=2, ensure_ascii=False))
     with (OUT/'transactions.csv').open('w', newline='') as f:
         w=csv.DictWriter(f, fieldnames=list(entries[0].keys())); w.writeheader(); w.writerows(entries)
     sum_all=sum(e['amount_usd'] for e in entries if e['type']=='expense')
@@ -224,9 +252,9 @@
         if e['type']=='expense' and e['trip_scope']=='europe_trip':
             by_cat[e['category_guess']]+= -e['amount_usd']
             by_country[e['country_guess'] or 'unknown']+= -e['amount_usd']
             by_payer[e['paid_by']]+= -e['amount_usd']
-    summary={'count':len(entries),'image_count':len({e['source_ref'] for e in entries if e['source']=='sebas_bank'}),'manual_vicky_count':len([e for e in entries if e['paid_by']=='V']),'expense_total_all':round(-sum_all,2),'expense_total_trip':round(-sum_trip,2),'expense_total_non_trip':round(-sum_nontrip,2),'fees_total':round(-sum_fees,2),'income_total':round(sum_income,2),'by_category_trip':dict(sorted(by_cat.items(), key=lambda kv: kv[1], reverse=True)),'by_country_trip':dict(sorted(by_country.items(), key=lambda kv: kv[1], reverse=True)),'by_payer_trip':dict(sorted(by_payer.items()))}
+    summary={'count':len(entries),'excluded_count':len(all_entries)-len(entries),'image_count':len({e['source_ref'] for e in entries if e['source']=='sebas_bank'}),'manual_vicky_count':len([e for e in entries if e['paid_by']=='V']),'expense_total_all':round(-sum_all,2),'expense_total_trip':round(-sum_trip,2),'expense_total_non_trip':round(-sum_nontrip,2),'fees_total':round(-sum_fees,2),'income_total':round(sum_income,2),'by_category_trip':dict(sorted(by_cat.items(), key=lambda kv: kv[1], reverse=True)),'by_country_trip':dict(sorted(by_country.items(), key=lambda kv: kv[1], reverse=True)),'by_payer_trip':dict(sorted(by_payer.items()))}
     (OUT/'summary.json').write_text(json.dumps(summary, indent=2, ensure_ascii=False))

 if __name__ == '__main__':
     build()


DATA = BASE / 'data'
HTML = BASE / 'analysis.html'
TX = DERIVED / 'transactions.json'
SUMMARY = DERIVED / 'summary.json'
ALLOC = DATA / 'allocations.json'
HOST = '127.0.0.1'
PORT = 18896

DATA = BASE / 'data'
HTML = BASE / 'analysis.html'
TX = DERIVED / 'transactions.json'
SUMMARY = DERIVED / 'summary.json'
ALLOC = DATA / 'allocations.json'
EXCLUDED = DATA / 'excluded.json'
HOST = '127.0.0.1'
PORT = 18896

        if self.path == '/api/data':
            payload = {
                'transactions': read_json(TX, []),
                'summary': read_json(SUMMARY, {}),
                'allocations': read_json(ALLOC, {}),
            }
            return self._json(200, payload)
        if self.path == '/api/allocations':
            return self._json(200, read_json(ALLOC, {}))

        if self.path == '/api/data':
            payload = {
                'transactions': read_json(TX, []),
                'summary': read_json(SUMMARY, {}),
                'allocations': read_json(ALLOC, {}),
                'excluded': read_json(EXCLUDED, []),
            }
            return self._json(200, payload)
        if self.path == '/api/allocations':
            return self._json(200, read_json(ALLOC, {}))
        if self.path == '/api/excluded':
            return self._json(200, read_json(EXCLUDED, []))

    def do_POST(self):
        if self.path != '/api/allocations':
            return self._json(404, {'error': 'not found'})
        try:
            length = int(self.headers.get('Content-Length', '0'))
            raw = self.rfile.read(length).decode('utf-8') if length else '{}'
            body = json.loads(raw or '{}')
        except Exception as e:
            return self._json(400, {'error': 'bad json', 'detail': str(e)})
        current = read_json(ALLOC, {})
        if isinstance(body, dict) and 'id' in body:
            ident = str(body.get('id', '')).strip()
            val = str(body.get('allocation', '')).strip()
            if not ident:
                return self._json(400, {'error': 'missing id'})
            if val:
                current[ident] = val
            else:
                current.pop(ident, None)
            write_json(ALLOC, current)
            return self._json(200, {'ok': True, 'allocations': current})
        if isinstance(body, dict) and 'allocations' in body and isinstance(body['allocations'], dict):
            clean = {str(k): str(v) for k, v in body['allocations'].items() if str(v).strip()}
            write_json(ALLOC, clean)
            return self._json(200, {'ok': True, 'allocations': clean})
        return self._json(400, {'error': 'expected {id, allocation} or {allocations}'})

    def do_POST(self):
        try:
            length = int(self.headers.get('Content-Length', '0'))
            raw = self.rfile.read(length).decode('utf-8') if length else '{}'
            body = json.loads(raw or '{}')
        except Exception as e:
            return self._json(400, {'error': 'bad json', 'detail': str(e)})
        if self.path == '/api/allocations':
            current = read_json(ALLOC, {})
            if isinstance(body, dict) and 'id' in body:
                ident = str(body.get('id', '')).strip()
                val = str(body.get('allocation', '')).strip()
                if not ident:
                    return self._json(400, {'error': 'missing id'})
                if val:
                    current[ident] = val
                else:
                    current.pop(ident, None)
                write_json(ALLOC, current)
                return self._json(200, {'ok': True, 'allocations': current})
            if isinstance(body, dict) and 'allocations' in body and isinstance(body['allocations'], dict):
                clean = {str(k): str(v) for k, v in body['allocations'].items() if str(v).strip()}
                write_json(ALLOC, clean)
                return self._json(200, {'ok': True, 'allocations': clean})
            return self._json(400, {'error': 'expected {id, allocation} or {allocations}'})
        if self.path == '/api/excluded':
            current = read_json(EXCLUDED, [])
            if not isinstance(current, list):
                current = []
            current = [str(x) for x in current if str(x).strip()]
            key = str(body.get('tx_key', '')).strip() if isinstance(body, dict) else ''
            if not key:
                return self._json(400, {'error': 'missing tx_key'})
            if key not in current:
                current.append(key)
                write_json(EXCLUDED, current)
            return self._json(200, {'ok': True, 'excluded': current})
        return self._json(404, {'error': 'not found'})


Successfully replaced 3 block(s) in /home/sebas/work/gastos-europa/app/server.py.

     ...
  11 HTML = BASE / 'analysis.html'
  12 TX = DERIVED / 'transactions.json'
  13 SUMMARY = DERIVED / 'summary.json'
  14 ALLOC = DATA / 'allocations.json'
+ 15 EXCLUDED = DATA / 'excluded.json'
  15 HOST = '127.0.0.1'
  16 PORT = 18896
  17
  18
     ...
  50             payload = {
  51                 'transactions': read_json(TX, []),
  52                 'summary': read_json(SUMMARY, {}),
  53                 'allocations': read_json(ALLOC, {}),
+ 55                 'excluded': read_json(EXCLUDED, []),
  54             }
  55             return self._json(200, payload)
  56         if self.path == '/api/allocations':
  57             return self._json(200, read_json(ALLOC, {}))
+ 60         if self.path == '/api/excluded':
+ 61             return self._json(200, read_json(EXCLUDED, []))
  58         if self.path == '/healthz':
  59             return self._json(200, {'ok': True})
  60         return self._json(404, {'error': 'not found'})
  61
  62     def do_POST(self):
- 63         if self.path != '/api/allocations':
- 64             return self._json(404, {'error': 'not found'})
  65         try:
  66             length = int(self.headers.get('Content-Length', '0'))
  67             raw = self.rfile.read(length).decode('utf-8') if length else '{}'
  68             body = json.loads(raw or '{}')
  69         except Exception as e:
  70             return self._json(400, {'error': 'bad json', 'detail': str(e)})
- 71         current = read_json(ALLOC, {})
- 72         if isinstance(body, dict) and 'id' in body:
- 73             ident = str(body.get('id', '')).strip()
- 74             val = str(body.get('allocation', '')).strip()
- 75             if not ident:
- 76                 return self._json(400, {'error': 'missing id'})
- 77             if val:
- 78                 current[ident] = val
- 79             else:
- 80                 current.pop(ident, None)
- 81             write_json(ALLOC, current)
- 82             return self._json(200, {'ok': True, 'allocations': current})
- 83         if isinstance(body, dict) and 'allocations' in body and isinstance(body['allocations'], dict):
- 84             clean = {str(k): str(v) for k, v in body['allocations'].items() if str(v).strip()}
- 85             write_json(ALLOC, clean)
- 86             return self._json(200, {'ok': True, 'allocations': clean})
- 87         return self._json(400, {'error': 'expected {id, allocation} or {allocations}'})
+ 73         if self.path == '/api/allocations':
+ 74             current = read_json(ALLOC, {})
+ 75             if isinstance(body, dict) and 'id' in body:
+ 76                 ident = str(body.get('id', '')).strip()
+ 77                 val = str(body.get('allocation', '')).strip()
+ 78                 if not ident:
+ 79                     return self._json(400, {'error': 'missing id'})
+ 80                 if val:
+ 81                     current[ident] = val
+ 82                 else:
+ 83                     current.pop(ident, None)
+ 84                 write_json(ALLOC, current)
+ 85                 return self._json(200, {'ok': True, 'allocations': current})
+ 86             if isinstance(body, dict) and 'allocations' in body and isinstance(body['allocations'], dict):
+ 87                 clean = {str(k): str(v) for k, v in body['allocations'].items() if str(v).strip()}
+ 88                 write_json(ALLOC, clean)
+ 89                 return self._json(200, {'ok': True, 'allocations': clean})
+ 90             return self._json(400, {'error': 'expected {id, allocation} or {allocations}'})
+ 91         if self.path == '/api/excluded':
+ 92             current = read_json(EXCLUDED, [])
+ 93             if not isinstance(current, list):
+ 94                 current = []
+ 95             current = [str(x) for x in current if str(x).strip()]
+ 96             key = str(body.get('tx_key', '')).strip() if isinstance(body, dict) else ''
+ 97             if not key:
+ 98                 return self._json(400, {'error': 'missing tx_key'})
+ 99             if key not in current:
+100                 current.append(key)
+101                 write_json(EXCLUDED, current)
+102             return self._json(200, {'ok': True, 'excluded': current})
+103         return self._json(404, {'error': 'not found'})
  88
  89     def log_message(self, fmt, *args):
  90         return
  91
     ...

--- /home/sebas/work/gastos-europa/app/server.py
+++ /home/sebas/work/gastos-europa/app/server.py
@@ -11,8 +11,9 @@
 HTML = BASE / 'analysis.html'
 TX = DERIVED / 'transactions.json'
 SUMMARY = DERIVED / 'summary.json'
 ALLOC = DATA / 'allocations.json'
+EXCLUDED = DATA / 'excluded.json'
 HOST = '127.0.0.1'
 PORT = 18896

@@ -50,42 +51,57 @@
             payload = {
                 'transactions': read_json(TX, []),
                 'summary': read_json(SUMMARY, {}),
                 'allocations': read_json(ALLOC, {}),
+                'excluded': read_json(EXCLUDED, []),
             }
             return self._json(200, payload)
         if self.path == '/api/allocations':
             return self._json(200, read_json(ALLOC, {}))
+        if self.path == '/api/excluded':
+            return self._json(200, read_json(EXCLUDED, []))
         if self.path == '/healthz':
             return self._json(200, {'ok': True})
         return self._json(404, {'error': 'not found'})

     def do_POST(self):
-        if self.path != '/api/allocations':
-            return self._json(404, {'error': 'not found'})
         try:
             length = int(self.headers.get('Content-Length', '0'))
             raw = self.rfile.read(length).decode('utf-8') if length else '{}'
             body = json.loads(raw or '{}')
         except Exception as e:
             return self._json(400, {'error': 'bad json', 'detail': str(e)})
-        current = read_json(ALLOC, {})
-        if isinstance(body, dict) and 'id' in body:
-            ident = str(body.get('id', '')).strip()
-            val = str(body.get('allocation', '')).strip()
-            if not ident:
-                return self._json(400, {'error': 'missing id'})
-            if val:
-                current[ident] = val
-            else:
-                current.pop(ident, None)
-            write_json(ALLOC, current)
-            return self._json(200, {'ok': True, 'allocations': current})
-        if isinstance(body, dict) and 'allocations' in body and isinstance(body['allocations'], dict):
-            clean = {str(k): str(v) for k, v in body['allocations'].items() if str(v).strip()}
-            write_json(ALLOC, clean)
-            return self._json(200, {'ok': True, 'allocations': clean})
-        return self._json(400, {'error': 'expected {id, allocation} or {allocations}'})
+        if self.path == '/api/allocations':
+            current = read_json(ALLOC, {})
+            if isinstance(body, dict) and 'id' in body:
+                ident = str(body.get('id', '')).strip()
+                val = str(body.get('allocation', '')).strip()
+                if not ident:
+                    return self._json(400, {'error': 'missing id'})
+                if val:
+                    current[ident] = val
+                else:
+                    current.pop(ident, None)
+                write_json(ALLOC, current)
+                return self._json(200, {'ok': True, 'allocations': current})
+            if isinstance(body, dict) and 'allocations' in body and isinstance(body['allocations'], dict):
+                clean = {str(k): str(v) for k, v in body['allocations'].items() if str(v).strip()}
+                write_json(ALLOC, clean)
+                return self._json(200, {'ok': True, 'allocations': clean})
+            return self._json(400, {'error': 'expected {id, allocation} or {allocations}'})
+        if self.path == '/api/excluded':
+            current = read_json(EXCLUDED, [])
+            if not isinstance(current, list):
+                current = []
+            current = [str(x) for x in current if str(x).strip()]
+            key = str(body.get('tx_key', '')).strip() if isinstance(body, dict) else ''
+            if not key:
+                return self._json(400, {'error': 'missing tx_key'})
+            if key not in current:
+                current.append(key)
+                write_json(EXCLUDED, current)
+            return self._json(200, {'ok': True, 'excluded': current})
+        return self._json(404, {'error': 'not found'})

     def log_message(self, fmt, *args):
         return


let DATA = [];
let SUMMARY = {};
let allocMap = {};
let excludedSet = new Set();

  SUMMARY = payload.summary || {};
  allocMap = payload.allocations || {};
  DATA.forEach(x=>x.allocation = allocMap[x.id] || '');
}

  SUMMARY = payload.summary || {};
  allocMap = payload.allocations || {};
  excludedSet = new Set(payload.excluded || []);
  DATA.forEach(x=>x.allocation = allocMap[x.id] || '');
}

async function deleteTx(x){
  if(!x || !x.tx_key) return alert('No tiene clave persistente');
  if(!confirm(`Borrar persistente este gasto?\n\n${x.merchant}\n${fmt(x.amount_usd)}\n${x.date||''}`)) return;
  const prevData = DATA.slice();
  const prevSummary = {...SUMMARY};
  excludedSet.add(x.tx_key);
  DATA = DATA.filter(r => r.tx_key !== x.tx_key);
  SUMMARY.count = Math.max(0, (SUMMARY.count||0)-1);
  SUMMARY.excluded_count = (SUMMARY.excluded_count||0)+1;
  renderStatic();
  render();
  try{
    const res = await fetch(API_BASE + '/excluded', {method:'POST',headers:{'Content-Type':'application/json'},body: JSON.stringify({tx_key: x.tx_key})});
    if(!res.ok) throw new Error('exclude save failed');
  }catch(err){
    excludedSet.delete(x.tx_key);
    DATA = prevData;
    SUMMARY = prevSummary;
    renderStatic();
    render();
    alert('No pude borrar en servidor');
  }
}
function filtered(){

function allocButtons(x){
  const s = x.paid_by==='S'
    ? [['S->S','ss'],['S->V+S','svs'],['S->V','sv']]
    : [['V->V','vv'],['V->V+S','vvs'],['V->S','vs']];
  return s.map(([label,cls])=>`<button class="b ${cls} ${x.allocation===label?'active':''}" onclick="setAlloc('${x.id}','${label}')">${label}</button>`).join('')+`<button class="b" onclick="setAlloc('${x.id}','')">clear</button>`;
}

function allocButtons(x){
  const s = x.paid_by==='S'
    ? [['S->S','ss'],['S->V+S','svs'],['S->V','sv']]
    : [['V->V','vv'],['V->V+S','vvs'],['V->S','vs']];
  return s.map(([label,cls])=>`<button class="b ${cls} ${x.allocation===label?'active':''}" onclick="setAlloc('${x.id}','${label}')">${label}</button>`).join('')+`<button class="b" onclick="setAlloc('${x.id}','')">clear</button><button class="b" onclick="deleteTx(DATA.find(r=>r.id==='${x.id}'))">borrar</button>`;
}

Las marcas y borrados se guardan en la máquina.
`;

movs

${SUMMARY.count || DATA.length}

`;

movs

${SUMMARY.count || DATA.length}

borrados

${SUMMARY.excluded_count || 0}

`;


Successfully replaced 6 block(s) in /home/sebas/work/gastos-europa/analysis.html.

...
  64 const API_BASE = './api';
  65 let DATA = [];
  66 let SUMMARY = {};
  67 let allocMap = {};
+ 68 let excludedSet = new Set();
  68 const fmt = n => new Intl.NumberFormat('en-US', {style:'currency', currency:'USD'}).format(n);
  69 function esc(s){return String(s).replace(/[&<>"']/g,m=>({'&':'&','<':'<','>':'>','"':'"',"'":'''}[m]));}
  70 async function loadData(){
  71   const res = await fetch(API_BASE + '/data', {cache:'no-store'});
     ...
  73   const payload = await res.json();
  74   DATA = payload.transactions || [];
  75   SUMMARY = payload.summary || {};
  76   allocMap = payload.allocations || {};
+ 78   excludedSet = new Set(payload.excluded || []);
  77   DATA.forEach(x=>x.allocation = allocMap[x.id] || '');
  78 }
  79 async function setAlloc(id,val){
  80   const prev = allocMap[id] || '';
     ...
  89     DATA.forEach(x=>{ if(x.id===id) x.allocation = allocMap[id] || ''; });
  90     render(); alert('No pude guardar en servidor');
  91   }
  92 }
+ 95 async function deleteTx(x){
+ 96   if(!x || !x.tx_key) return alert('No tiene clave persistente');
+ 97   if(!confirm(`Borrar persistente este gasto?\n\n${x.merchant}\n${fmt(x.amount_usd)}\n${x.date||''}`)) return;
+ 98   const prevData = DATA.slice();
+ 99   const prevSummary = {...SUMMARY};
+100   excludedSet.add(x.tx_key);
+101   DATA = DATA.filter(r => r.tx_key !== x.tx_key);
+102   SUMMARY.count = Math.max(0, (SUMMARY.count||0)-1);
+103   SUMMARY.excluded_count = (SUMMARY.excluded_count||0)+1;
+104   renderStatic();
+105   render();
+106   try{
+107     const res = await fetch(API_BASE + '/excluded', {method:'POST',headers:{'Content-Type':'application/json'},body: JSON.stringify({tx_key: x.tx_key})});
+108     if(!res.ok) throw new Error('exclude save failed');
+109   }catch(err){
+110     excludedSet.delete(x.tx_key);
+111     DATA = prevData;
+112     SUMMARY = prevSummary;
+113     renderStatic();
+114     render();
+115     alert('No pude borrar en servidor');
+116   }
+117 }
  93 function filtered(){
  94   const q=document.querySelector('#q').value.toLowerCase().trim();
  95   const trip=document.querySelector('#trip').value;
  96   const typ=document.querySelector('#typ').value;
     ...
 108 function allocButtons(x){
 109   const s = x.paid_by==='S'
 110     ? [['S->S','ss'],['S->V+S','svs'],['S->V','sv']]
 111     : [['V->V','vv'],['V->V+S','vvs'],['V->S','vs']];
-112   return s.map(([label,cls])=>`<button class="b ${cls} ${x.allocation===label?'active':''}" onclick="setAlloc('${x.id}','${label}')">${label}</button>`).join('')+`<button class="b" onclick="setAlloc('${x.id}','')">clear</button>`;
+137   return s.map(([label,cls])=>`<button class="b ${cls} ${x.allocation===label?'active':''}" onclick="setAlloc('${x.id}','${label}')">${label}</button>`).join('')+`<button class="b" onclick="setAlloc('${x.id}','')">clear</button><button class="b" onclick="deleteTx(DATA.find(r=>r.id==='${x.id}'))">borrar</button>`;
 113 }
 114 function renderStatic(){
 115   document.querySelector('#topnote').textContent = `16 fotos Sebas + ${SUMMARY.manual_vicky_count || 0} de Vicky`;
 116   document.querySelector('#topstats').innerHTML = `
     ...
 118

viaje

${fmt(SUMMARY.expense_total_trip || 0)}

 119

pagó Sebas

${fmt((SUMMARY.by_payer_trip||{}).S || 0)}

 120

pagó Vicky

${fmt((SUMMARY.by_payer_trip||{}).V || 0)}

 121

fees

${fmt(SUMMARY.fees_total || 0)}

-122

movs

${SUMMARY.count || DATA.length}

`;
+147

movs

${SUMMARY.count || DATA.length}

+148

borrados

${SUMMARY.excluded_count || 0}

`;
 123   document.querySelector('#quick').innerHTML = `
 124
${SUMMARY.count || DATA.length} movimientos.

 125
Sebas: ${fmt((SUMMARY.by_payer_trip||{}).S || 0)}.

 126
Vicky: ${fmt((SUMMARY.by_payer_trip||{}).V || 0)}.

 127
Hay pending + posted.

-128
Las marcas se guardan en la máquina.
`;
+154
Las marcas y borrados se guardan en la máquina.
`;
 129   const cat = SUMMARY.by_category_trip || {};
 130   const country = SUMMARY.by_country_trip || {};
 131   document.querySelector('#catSummary').innerHTML = Object.entries(cat).map(([k,v])=>`<div class="small">${esc(k)}: ${fmt(v)}</div>`).join('');
 132   document.querySelector('#countrySummary').innerHTML = Object.entries(country).map(([k,v])=>`<div class="small">${esc(k)}: ${fmt(v)}</div>`).join('');
     ...

--- /home/sebas/work/gastos-europa/analysis.html
+++ /home/sebas/work/gastos-europa/analysis.html
@@ -64,8 +64,9 @@
 const API_BASE = './api';
 let DATA = [];
 let SUMMARY = {};
 let allocMap = {};
+let excludedSet = new Set();
 const fmt = n => new Intl.NumberFormat('en-US', {style:'currency', currency:'USD'}).format(n);
 function esc(s){return String(s).replace(/[&<>"']/g,m=>({'&':'&','<':'<','>':'>','"':'"',"'":'''}[m]));}
 async function loadData(){
   const res = await fetch(API_BASE + '/data', {cache:'no-store'});
@@ -73,8 +74,9 @@
   const payload = await res.json();
   DATA = payload.transactions || [];
   SUMMARY = payload.summary || {};
   allocMap = payload.allocations || {};
+  excludedSet = new Set(payload.excluded || []);
   DATA.forEach(x=>x.allocation = allocMap[x.id] || '');
 }
 async function setAlloc(id,val){
   const prev = allocMap[id] || '';
@@ -89,8 +91,31 @@
     DATA.forEach(x=>{ if(x.id===id) x.allocation = allocMap[id] || ''; });
     render(); alert('No pude guardar en servidor');
   }
 }
+async function deleteTx(x){
+  if(!x || !x.tx_key) return alert('No tiene clave persistente');
+  if(!confirm(`Borrar persistente este gasto?\n\n${x.merchant}\n${fmt(x.amount_usd)}\n${x.date||''}`)) return;
+  const prevData = DATA.slice();
+  const prevSummary = {...SUMMARY};
+  excludedSet.add(x.tx_key);
+  DATA = DATA.filter(r => r.tx_key !== x.tx_key);
+  SUMMARY.count = Math.max(0, (SUMMARY.count||0)-1);
+  SUMMARY.excluded_count = (SUMMARY.excluded_count||0)+1;
+  renderStatic();
+  render();
+  try{
+    const res = await fetch(API_BASE + '/excluded', {method:'POST',headers:{'Content-Type':'application/json'},body: JSON.stringify({tx_key: x.tx_key})});
+    if(!res.ok) throw new Error('exclude save failed');
+  }catch(err){
+    excludedSet.delete(x.tx_key);
+    DATA = prevData;
+    SUMMARY = prevSummary;
+    renderStatic();
+    render();
+    alert('No pude borrar en servidor');
+  }
+}
 function filtered(){
   const q=document.querySelector('#q').value.toLowerCase().trim();
   const trip=document.querySelector('#trip').value;
   const typ=document.querySelector('#typ').value;
@@ -108,9 +133,9 @@
 function allocButtons(x){
   const s = x.paid_by==='S'
     ? [['S->S','ss'],['S->V+S','svs'],['S->V','sv']]
     : [['V->V','vv'],['V->V+S','vvs'],['V->S','vs']];
-  return s.map(([label,cls])=>`<button class="b ${cls} ${x.allocation===label?'active':''}" onclick="setAlloc('${x.id}','${label}')">${label}</button>`).join('')+`<button class="b" onclick="setAlloc('${x.id}','')">clear</button>`;
+  return s.map(([label,cls])=>`<button class="b ${cls} ${x.allocation===label?'active':''}" onclick="setAlloc('${x.id}','${label}')">${label}</button>`).join('')+`<button class="b" onclick="setAlloc('${x.id}','')">clear</button><button class="b" onclick="deleteTx(DATA.find(r=>r.id==='${x.id}'))">borrar</button>`;
 }
 function renderStatic(){
   document.querySelector('#topnote').textContent = `16 fotos Sebas + ${SUMMARY.manual_vicky_count || 0} de Vicky`;
   document.querySelector('#topstats').innerHTML = `
@@ -118,15 +143,16 @@

viaje

${fmt(SUMMARY.expense_total_trip || 0)}

pagó Sebas

${fmt((SUMMARY.by_payer_trip||{}).S || 0)}

pagó Vicky

${fmt((SUMMARY.by_payer_trip||{}).V || 0)}

fees

${fmt(SUMMARY.fees_total || 0)}

-

movs

${SUMMARY.count || DATA.length}

`;
+

movs

${SUMMARY.count || DATA.length}

+

borrados

${SUMMARY.excluded_count || 0}

`;
   document.querySelector('#quick').innerHTML = `

${SUMMARY.count || DATA.length} movimientos.

Sebas: ${fmt((SUMMARY.by_payer_trip||{}).S || 0)}.

Vicky: ${fmt((SUMMARY.by_payer_trip||{}).V || 0)}.

Hay pending + posted.

-
Las marcas se guardan en la máquina.
`;
+
Las marcas y borrados se guardan en la máquina.
`;
   const cat = SUMMARY.by_category_trip || {};
   const country = SUMMARY.by_country_trip || {};
   document.querySelector('#catSummary').innerHTML = Object.entries(cat).map(([k,v])=>`<div class="small">${esc(k)}: ${fmt(v)}</div>`).join('');
   document.querySelector('#countrySummary').innerHTML = Object.entries(country).map(([k,v])=>`<div class="small">${esc(k)}: ${fmt(v)}</div>`).join('');


**Validating and Testing**

I’m thinking I might need a button to find by ID. I want to ensure the HTML syntax is validated properly too. After that, I should run the build and restart the service to see if everything is working. Also, it seems like I might need to create an excluded.json file, but only if it’s absent; otherwise, there’s no need for that. Finally, I'll test the endpoints to make sure they function as expected.

bash

python3 /home/sebas/work/gastos-europa/app/build_dataset.py && python3 -m py_compile /home/sebas/work/gastos-europa/app/server.py /home/sebas/work/gastos-europa/app/build_dataset.py && jq '.count, .excluded_count' /home/sebas/work/gastos-europa/derived/summary.json

grep -n 'deleteTx\|/api/excluded\|borrados\|tx_key' /home/sebas/work/gastos-europa/analysis.html /home/sebas/work/gastos-europa/app/server.py /home/sebas/work/gastos-europa/app/build_dataset.py | sed -n '1,200p'


184
0


/home/sebas/work/gastos-europa/analysis.html:95:async function deleteTx(x){
/home/sebas/work/gastos-europa/analysis.html:96:  if(!x || !x.tx_key) return alert('No tiene clave persistente');
/home/sebas/work/gastos-europa/analysis.html:100:  excludedSet.add(x.tx_key);
/home/sebas/work/gastos-europa/analysis.html:101:  DATA = DATA.filter(r => r.tx_key !== x.tx_key);
/home/sebas/work/gastos-europa/analysis.html:107:    const res = await fetch(API_BASE + '/excluded', {method:'POST',headers:{'Content-Type':'application/json'},body: JSON.stringify({tx_key: x.tx_key})});
/home/sebas/work/gastos-europa/analysis.html:110:    excludedSet.delete(x.tx_key);
/home/sebas/work/gastos-europa/analysis.html:137:  return s.map(([label,cls])=>`<button class="b ${cls} ${x.allocation===label?'active':''}" onclick="setAlloc('${x.id}','${label}')">${label}</button>`).join('')+`<button class="b" onclick="setAlloc('${x.id}','')">clear</button><button class="b" onclick="deleteTx(DATA.find(r=>r.id==='${x.id}'))">borrar</button>`;
/home/sebas/work/gastos-europa/analysis.html:148:

borrados

${SUMMARY.excluded_count || 0}

`;
/home/sebas/work/gastos-europa/analysis.html:154:
Las marcas y borrados se guardan en la máquina.
`;
/home/sebas/work/gastos-europa/app/server.py:60:        if self.path == '/api/excluded':
/home/sebas/work/gastos-europa/app/server.py:91:        if self.path == '/api/excluded':
/home/sebas/work/gastos-europa/app/server.py:96:            key = str(body.get('tx_key', '')).strip() if isinstance(body, dict) else ''
/home/sebas/work/gastos-europa/app/server.py:98:                return self._json(400, {'error': 'missing tx_key'})
/home/sebas/work/gastos-europa/app/build_dataset.py:178:def tx_key(e):
/home/sebas/work/gastos-europa/app/build_dataset.py:234:    return {**e,'amount_usd':amt,'tx_key':tx_key({**e, 'amount_usd': amt}),'id':f"{e['source_ref']}:{idx}",'type':typ,'is_fee':fee,'category_guess':cat,'country_guess':country,'trip_scope':trip,'allocation':'','description':desc,'description_confidence':conf,'description_source':desc_source}
/home/sebas/work/gastos-europa/app/build_dataset.py:241:    entries=[e for e in all_entries if e.get('tx_key') not in excluded]


systemctl restart gastos-europa.service && sleep 1 && curl -fsSL http://127.0.0.1:18896/healthz && echo && curl -fsSL http://127.0.0.1:18896/api/data | jq '{count:(.transactions|length), excluded:(.excluded|length), sample:(.transactions[0]|{id,tx_key,merchant})}'


Failed to restart gastos-europa.service: Connection timed out
See system logs and 'systemctl status gastos-europa.service' for details.

Command exited with code 1


journalctl -u gastos-europa.service -n 80 --no-pager


● gastos-europa.service - Gastos Europa app
     Loaded: loaded (/etc/systemd/system/gastos-europa.service; enabled; preset: enabled)
     Active: active (running) since Fri 2026-05-15 09:08:49 -03; 2 weeks 3 days ago
 Invocation: 14ab588d36fb4a4c9b86d6d9822d9582
   Main PID: 1817062 (python3)
      Tasks: 1 (limit: 9575)
        CPU: 1min 20.330s
     CGroup: /system.slice/gastos-europa.service
             └─1817062 /usr/bin/python3 /home/sebas/work/gastos-europa/app/server.py

Notice: journal has been rotated since unit was started, output may be incomplete.


-- No entries --


LISTEN 0      5                        127.0.0.1:18896      0.0.0.0:*    users:(("python3",pid=1817062,fd=3))


curl -fsSL http://127.0.0.1:18896/healthz && echo && python3 - <<'PY'
import urllib.request, json
obj=json.load(urllib.request.urlopen('http://127.0.0.1:18896/api/data'))
print(obj['transactions'][0].keys())
PY


{"ok": true}
dict_keys(['source', 'source_ref', 'paid_by', 'date', 'status', 'merchant', 'amount_usd', 'tx_key', 'id', 'type', 'is_fee', 'category_guess', 'country_guess', 'trip_scope', 'allocation', 'description', 'description_confidence', 'description_source'])


**Evaluating service issues**

I’m considering whether the current running service has new code—it seems impossible since the restart failed. Maybe the script file reloaded, but that doesn’t seem right. However, the API/data now includes tx_key because it’s reading only from the transactions. I’m wondering if there should be an /excluded endpoint, but the current service is too old to support that. I definitely need a restart, so I might try using `systemctl kill -s KILL` followed by a start.

systemctl kill -s KILL gastos-europa.service && sleep 1 && systemctl start gastos-europa.service && sleep 1 && systemctl status gastos-europa.service --no-pager | sed -n '1,80p' && echo && curl -fsSL http://127.0.0.1:18896/api/excluded


Failed to kill unit gastos-europa.service: Connection timed out

Command exited with code 1


**Troubleshooting system hangs**

I'm dealing with weird hangs in systemctl. It makes me think that using the kill command with the PID directly might help. Also, I wonder if I can reset any failed services by using the command `systemctl reset-failed` followed by `start`. I'm feeling a bit unsure about the best approach here, but I'm eager to get this fixed! Let's see how those commands work out.

kill -9 1817062 && sleep 1 && systemctl start gastos-europa.service && sleep 1 && systemctl status gastos-europa.service --no-pager | sed -n '1,80p' && echo && curl -fsSL http://127.0.0.1:18896/api/excluded


Failed to start gastos-europa.service: Connection timed out
See system logs and 'systemctl status gastos-europa.service' for details.

Command exited with code 1


ps -fp $(pgrep -f '/home/sebas/work/gastos-europa/app/server.py' | tr '\n' ' ')

systemctl status gastos-europa.service --no-pager | sed -n '1,80p'


UID          PID    PPID  C STIME TTY      STAT   TIME CMD
sebas    2491960       1  0 10:24 ?        Ss     0:00 /usr/bin/python3 /home/sebas/work/gastos-europa/app/server.py
sebas    2492165 2464589  0 10:24 ?        Rs     0:00 ps -fp 2491960 2492165 2492166


HTTP/1.0 200 OK
Server: BaseHTTP/0.6 Python/3.13.5
Date: Mon, 01 Jun 2026 13:24:54 GMT
Content-Type: application/json; charset=utf-8
Content-Length: 2
Cache-Control: no-store

[]


● gastos-europa.service - Gastos Europa app
     Loaded: loaded (/etc/systemd/system/gastos-europa.service; enabled; preset: enabled)
     Active: active (running) since Mon 2026-06-01 10:24:18 -03; 35s ago
 Invocation: 445e363fac5a42ce94128128b73c52e5
   Main PID: 2491960 (python3)
      Tasks: 1 (limit: 9575)
        CPU: 67ms
     CGroup: /system.slice/gastos-europa.service
             └─2491960 /usr/bin/python3 /home/sebas/work/gastos-europa/app/server.py

Jun 01 10:24:18 ballbox-first systemd[1]: gastos-europa.service: Scheduled restart job, restart counter is at 1.
Jun 01 10:24:18 ballbox-first systemd[1]: Started gastos-europa.service - Gastos Europa app.


**Testing API functions**

I need to test the deletion endpoint, but I don’t want to alter the data. I think posting a dummy sample and then removing it could work. Alternatively, I could simply verify that the API returns correctly. I’m considering using curl on the homepage to see if it includes a button. Maybe I can use grep. It seems like a lot to tackle, but updating my to-do list to complete this feels necessary!


Updated #3 (pending → completed)


Listo.

Agregué borrado persistente en la app.

Qué hace:
- cada gasto ahora tiene botón `borrar`
- al tocarlo pide confirmación
- se guarda en servidor
- al recargar sigue borrado
- también sobrevive al rebuild del dataset

Cómo quedó:
- backend nuevo:
  - `data/excluded.json`
- el parser ahora respeta exclusiones persistentes
- la UI muestra contador `borrados`

URL:
https://ballbox-first.emperor-ratio.ts.net/gastos-europa/

Nota:
- el borrado es por movimiento exacto, no por merchant general
- por ahora es borrar solo; no agregué “restaurar”

Si querés, siguiente paso le agrego:
- filtro “ver borrados”
- botón “deshacer” / restaurar.


[telegram] queres hacer investigacion de mos gastos inciertos y darles mas info?


**Deciding on research direction**

I need to respond with a clear answer about researching uncertain expenses. The user's request gives me a chance to be direct and ask for the go-ahead. It's not a permanent decision, so I can comfortably say yes. I might also want to clarify if they want me to cover everything or just focus on the top uncertain expenses. Keeping it concise is key here, so I’ll finalize my approach!

Sí.

Puedo:
- revisar gastos con `confidence=baja/media`
- inferir rubro/comercio mejor
- corregir descripciones
- marcar cuáles siguen dudosos

Si querés, arranco por todos los inciertos y te devuelvo:
- corregidos
- todavía dudosos
- los que conviene borrar de Europa.


[telegram] si, la info agregala sin pedir, contame nomas que agregaste.
borrar si preguntame


**Considering tasks and tools**

I need to acknowledge that I have some work to do and maybe create a to-do list for it. I’m not sure if I should use memory mid-conversation, though. I could inspect low and media items, but without a web tool, I'm considering a subagent or maybe using bash for some package or online options. I know we can access the internet through curl, so I’ll think about current low/media entries I can inspect.

todo

Investigar gastos inciertos de gastos-europa

Revisar movimientos con descripciones de confianza baja/media, mejorar info y categorías sin pedir confirmación; consultar solo si conviene borrar algo de Europa.


Created #4: Investigar gastos inciertos de gastos-europa (pending)


bash

python3 - <<'PY'
import json, pathlib
rows=json.loads(pathlib.Path('/home/sebas/work/gastos-europa/derived/transactions.json').read_text())
for conf in ['baja','media']:
    xs=[r for r in rows if r['description_confidence']==conf and r['trip_scope']=='europe_trip']
    print('\nCONF',conf,'COUNT',len(xs))
    for r in xs:
        print(f"{r['id']}\t{r['paid_by']}\t{r['date']}\t{r['merchant']}\t{r['category_guess']}\t{r['description']}")
PY

python3 - <<'PY'
import json, pathlib
rows=json.loads(pathlib.Path('/home/sebas/work/gastos-europa/derived/transactions.json').read_text())
# list unique merchants with baja/media
seen=[]
for r in rows:
    if r['description_confidence'] in ('baja','media') and r['trip_scope']=='europe_trip':
        m=r['merchant']
        if m not in seen:
            seen.append(m)
print('\n'.join(seen))
PY


CONF baja COUNT 14
photo-1355.jpg:7	S		R.J. Mulder B.V.	other	Comercio local en Ámsterdam; rubro exacto no confirmado.
photo-1357.jpg:27	S	05/13/2026	VISA CCV*LAMOR AMSTERDAM NL ON 05-12 2561	food_drink	Bar o restaurante en Ámsterdam; nombre abreviado en el extracto.
photo-1358.jpg:29	S	05/13/2026	VISA CCV*LAMOR AMSTERDAM NL ON 05-12 2561	food_drink	Bar o restaurante en Ámsterdam; nombre abreviado en el extracto.
photo-1359.jpg:37	S	05/13/2026	VISA fa. B.Smit AMSTERDAM NL ON 05-12 2561	shopping	Tienda pequeña en Ámsterdam; probablemente souvenir o retail.
photo-1359.jpg:39	S	05/13/2026	VISA BCK*GHM B B B.V. AMSTERDAM NL ON 05-12 2561	other	Comercio local en Ámsterdam; rubro exacto no confirmado.
vicky-manual:130	V	12/05/2026	C&M*SINGEL 506	other	Comercio pequeño sobre Singel 506, Ámsterdam; rubro exacto no confirmado.
vicky-manual:137	V	11/05/2026	BUTRAGUENO ESTEBAN	shopping	Comercio local en Madrid; rubro exacto no confirmado.
vicky-manual:153	V	18/05/2026	AXA B2C DA 000000006712616	other	Comercio local; rubro exacto no confirmado.
vicky-manual:159	V	20/05/2026	SEDE DI VIA DEME	other	Comercio local; rubro exacto no confirmado.
vicky-manual:160	V	21/05/2026	SUMUP *FILIPPO CALABRIA	other	Comercio o local gastronómico en Italia.
vicky-manual:169	V	23/05/2026	ROMACENTRO SRLS	shopping	Comercio o servicio turístico en Roma centro.
vicky-manual:175	V	24/05/2026	FIRENZE POR SANTA MARI	other	Comercio local; rubro exacto no confirmado.
vicky-manual:176	V	24/05/2026	PANJETAN SNC	shopping	Comercio local; rubro exacto no confirmado.
vicky-manual:180	V	26/05/2026	ULTIMA SRLS	other	Comercio local en Italia; rubro exacto no confirmado.

CONF media COUNT 43
photo-1355.jpg:8	S		Het Karbeel	food_drink	Restaurante en Warmoesstraat, Ámsterdam.
photo-1355.jpg:9	S		SumUp *La Belle Super	groceries	Minimercado o tienda de alimentos en Ámsterdam.
photo-1356.jpg:17	S	05/14/2026	VISA CCV*IL PRIMO AMSTERDAM NL ON 05-13 2561	food_drink	Restaurante italiano.
photo-1357.jpg:23	S	05/14/2026	VISA CCV*V.O.F. TWINKIES BUSSUM NL ON 05-13 2561	food_drink	Café o local de comida rápida.
photo-1358.jpg:33	S	05/13/2026	VISA THE GAME GALAXY AMSTERDAM NL ON 05-12 2561	other	Arcade o local de videojuegos en Ámsterdam.
photo-1359.jpg:35	S	05/13/2026	VISA Cafe Katoen Amsterdam NL ON 05-12 2561	food_drink	Café o restaurante.
photo-1361.jpg:49	S	05/13/2026	VISA INTRUSO MADRID ES ON 05-11 2561	food_drink	Bar o restaurante en Madrid.
photo-1361.jpg:51	S	05/12/2026	VISA INTRUSO MADRID ES ON 05-11 2561	food_drink	Bar o restaurante en Madrid.
photo-1367.jpg:89	S	04/02/2026	VISA Buckaroo *www annef AMSTERDAM NL ON 04-01 2561	other	Pago procesado por Buckaroo, probablemente para entradas Anne Frank.
photo-1391.jpg:124	S	02/09/2026	VISA Omio 917-9243330 FL ON 02-08 2561	transport	Gasto de transporte o traslado.
vicky-manual:126	V	13/05/2026	De Kroon van Singel	food_drink	Bar o restaurante sobre Singel, Ámsterdam.
vicky-manual:129	V	12/05/2026	INTRUSO	food_drink	Bar o restaurante en Madrid.
vicky-manual:131	V	12/05/2026	CROISSANTERIE OUTMAYER	groceries	Panadería o cafetería.
vicky-manual:133	V	12/05/2026	TA-WHA CHIN ARTS & CRA	shopping	Tienda de artesanías o souvenirs.
vicky-manual:135	V	12/05/2026	KamYin BV	groceries	Supermercado o tienda de alimentos asiáticos.
vicky-manual:138	V	11/05/2026	VIVAZ ROSALEDA	food_drink	Bar o restaurante en Madrid.
vicky-manual:140	V	11/05/2026	DEKORAZONCARMEN	shopping	Tienda de decoración o regalos en Madrid.
vicky-manual:142	V	10/05/2026	CH LUMIERE	lodging	Alojamiento en Madrid o reserva de hotel al inicio del viaje.
vicky-manual:145	V	14/05/2026	CCV*OLD BRIDGE 3	shopping	Tienda o retail local.
vicky-manual:146	V	15/05/2026	AAA Premium Retail	shopping	Compra de ropa, accesorios o retail.
vicky-manual:147	V	15/05/2026	PANCAKE & CO	food_drink	Comida, bar o cafetería.
vicky-manual:148	V	15/05/2026	QUOTIDAY	shopping	Compra de ropa, accesorios o retail.
vicky-manual:149	V	15/05/2026	MISS MANON SNC	shopping	Compra de ropa, accesorios o retail.
vicky-manual:150	V	17/05/2026	PHARMACIE DES HA2186695	shopping	Farmacia o perfumería en Francia.
vicky-manual:151	V	17/05/2026	CARREFOUR CITY 2508469	groceries	Compra de supermercado o alimentos.
vicky-manual:152	V	17/05/2026	FRANPRIX 6866	groceries	Compra de supermercado o alimentos.
vicky-manual:154	V	18/05/2026	Lindt Spruengli France F	shopping	Compra de ropa, accesorios o retail.
vicky-manual:158	V	20/05/2026	FRIGIDARIUM	food_drink	Heladería o postres en Roma.
vicky-manual:161	V	21/05/2026	I Pizzicaroli piazza Navo	food_drink	Restaurante o comida rápida italiana.
vicky-manual:162	V	21/05/2026	BISTROT CORONARI	food_drink	Comida, bar o cafetería.
vicky-manual:163	V	22/05/2026	PIZZERIA ALLE CARRETTE	food_drink	Comida, bar o cafetería.
vicky-manual:164	V	22/05/2026	IL CHIOSCO	food_drink	Kiosco o local de comida.
vicky-manual:165	V	23/05/2026	EIS SRL	other	Heladería o local de postres.
vicky-manual:168	V	23/05/2026	NEU*DITECH SRL	shopping	Tienda de electrónica o accesorios.
vicky-manual:170	V	23/05/2026	DMS PANTHEON SELF	other	Comercio de autoservicio cerca del Panteón.
vicky-manual:171	V	23/05/2026	CREMONINI SPA	food_drink	Comida o servicio gastronómico Cremonini.
vicky-manual:172	V	24/05/2026	I GUELFI TUSCANY FOOD	food_drink	Tienda gastronómica / alimentos de Toscana.
vicky-manual:174	V	24/05/2026	A&F MARKET S.R.L.	shopping	Compra de ropa, accesorios o retail.
vicky-manual:177	V	25/05/2026	CONAD	groceries	Compra de supermercado o alimentos.
vicky-manual:179	V	26/05/2026	ROOSTER FIRENZE	food_drink	Restaurante o comida rápida en Firenze.
vicky-manual:181	V	26/05/2026	SHA JAHAN	food_drink	Restaurante indio o local gastronómico.
vicky-manual:182	V	27/05/2026	RISTORANTE AL SOLE	food_drink	Comida, bar o cafetería.
vicky-manual:183	V	27/05/2026	BUFFET MESTRE	food_drink	Comida, bar o cafetería.


R.J. Mulder B.V.
Het Karbeel
SumUp *La Belle Super
VISA CCV*IL PRIMO AMSTERDAM NL ON 05-13 2561
VISA CCV*V.O.F. TWINKIES BUSSUM NL ON 05-13 2561
VISA CCV*LAMOR AMSTERDAM NL ON 05-12 2561
VISA THE GAME GALAXY AMSTERDAM NL ON 05-12 2561
VISA Cafe Katoen Amsterdam NL ON 05-12 2561
VISA fa. B.Smit AMSTERDAM NL ON 05-12 2561
VISA BCK*GHM B B B.V. AMSTERDAM NL ON 05-12 2561
VISA INTRUSO MADRID ES ON 05-11 2561
VISA Buckaroo *www annef AMSTERDAM NL ON 04-01 2561
VISA Omio 917-9243330 FL ON 02-08 2561
De Kroon van Singel
INTRUSO
C&M*SINGEL 506
CROISSANTERIE OUTMAYER
TA-WHA CHIN ARTS & CRA
KamYin BV
BUTRAGUENO ESTEBAN
VIVAZ ROSALEDA
DEKORAZONCARMEN
CH LUMIERE
CCV*OLD BRIDGE 3
AAA Premium Retail
PANCAKE & CO
QUOTIDAY
MISS MANON SNC
PHARMACIE DES HA2186695
CARREFOUR CITY 2508469
FRANPRIX 6866
AXA B2C DA 000000006712616
Lindt Spruengli France F
FRIGIDARIUM
SEDE DI VIA DEME
SUMUP *FILIPPO CALABRIA
I Pizzicaroli piazza Navo
BISTROT CORONARI
PIZZERIA ALLE CARRETTE
IL CHIOSCO
EIS SRL
NEU*DITECH SRL
ROMACENTRO SRLS
DMS PANTHEON SELF
CREMONINI SPA
I GUELFI TUSCANY FOOD
A&F MARKET S.R.L.
FIRENZE POR SANTA MARI
PANJETAN SNC
CONAD
ROOSTER FIRENZE
ULTIMA SRLS
SHA JAHAN
RISTORANTE AL SOLE
BUFFET MESTRE


**Researching via web search**

I need to conduct some research, possibly by using a web search with curl to access a search engine. I might consider using ddgr, but it isn’t installed. Alternatively, I could use the HTML interface of DuckDuckGo Lite. I think I should put extra focus on low-confidence items and gather some media that might be enough. I need to update known descriptions and categories, so I’ll aim to search several merchants for that information.

python3 - <<'PY'
import urllib.parse, subprocess
queries=[
'"R.J. Mulder B.V." Amsterdam',
'"LAMOR" Amsterdam bar restaurant',
'"BCK GHM" Amsterdam',
'"C&M Singel 506" Amsterdam',
'"Butragueno Esteban" Madrid',
'"AXA B2C DA"',
'"SEDE DI VIA DEME" Rome',
'"FILIPPO CALABRIA" Rome',
'"ROMACENTRO SRLS" Rome',
'"FIRENZE POR SANTA MARI" Firenze',
'"PANJETAN SNC" Firenze',
'"ULTIMA SRLS" Italy',
]
for q in queries:
    url='https://duckduckgo.com/html/?q='+urllib.parse.quote(q)
    print('\n###',q)
    try:
        out=subprocess.check_output(['bash','-lc',f"curl -A 'Mozilla/5.0' -L -s {url!r} | sed -n '1,220p' | grep -o ']*>[^<]*' | sed -E 's/<[^>]+>//g' | head -5"], text=True)
        print(out.strip())
    except Exception as e:
        print('ERR',e)
PY


### "R.J. Mulder B.V." Amsterdam

### "LAMOR" Amsterdam bar restaurant

### "BCK GHM" Amsterdam

### "C&M Singel 506" Amsterdam

### "Butragueno Esteban" Madrid

### "AXA B2C DA"

### "SEDE DI VIA DEME" Rome

### "FILIPPO CALABRIA" Rome

### "ROMACENTRO SRLS" Rome

### "FIRENZE POR SANTA MARI" Firenze

### "PANJETAN SNC" Firenze

### "ULTIMA SRLS" Italy


which lynx || which w3m || which links || which python3


python3 - <<'PY'
import subprocess, urllib.parse
queries=['R.J. Mulder B.V. Amsterdam','LAMOR Amsterdam restaurant','BCK GHM Amsterdam','C&M Singel 506 Amsterdam','Butragueno Esteban Madrid','AXA B2C DA','SEDE DI VIA DEME Rome','Filippo Calabria Rome','ROMACENTRO SRLS Rome','Firenze Por Santa Mari','Panjetan SNC Firenze','Ultima SRLS Italy']
for q in queries:
    url='https://www.google.com/search?q='+urllib.parse.quote(q)
    print('\n###',q)
    out=subprocess.run(['lynx','-dump',url],capture_output=True,text=True,timeout=30)
    print('\n'.join(out.stdout.splitlines()[:20]))
PY