Successfully replaced 3 block(s) in /home/sebas/work/gastos-europa/analysis.html.

...
   6 *{box-sizing:border-box}html,body{margin:0}body{font-family:system-ui,-apple-system,Segoe UI,Roboto,sans-serif;background:var(--bg);color:var(--text);padding-bottom:28px}button,input,select{font:inherit}a{color:var(--accent)}
   7 .wrap{max-width:1260px;margin:0 auto;padding:12px}.titlebar{display:flex;align-items:center;justify-content:space-between;gap:10px;margin-bottom:8px}.titlebar h1{margin:0;font-size:24px}.grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(180px,1fr));gap:10px}.card{background:var(--card);border:1px solid var(--border);border-radius:14px;padding:12px}.big{font-size:28px;font-weight:700;line-height:1.05}.muted{color:var(--muted)}.small{font-size:12px}.warn{color:var(--yellow)}
   8 .controls{display:grid;grid-template-columns:repeat(auto-fit,minmax(140px,1fr));gap:8px;margin:12px 0;position:sticky;top:0;padding:8px 0 10px;background:linear-gradient(180deg,var(--bg) 80%,rgba(11,16,32,0));z-index:4}.controls input,.controls select{width:100%;min-height:42px;padding:10px 12px;border-radius:12px;border:1px solid var(--border);background:var(--panel);color:var(--text)}
   9 .tablewrap{margin-top:12px}.tbl{width:100%;border-collapse:separate;border-spacing:0 10px;font-size:14px}.tbl th{padding:0 10px 6px;text-align:left;color:var(--muted);font-size:12px;font-weight:600}.tbl td{padding:10px;border-top:1px solid var(--border);border-bottom:1px solid var(--border);background:var(--card);vertical-align:top}.tbl td:first-child{border-left:1px solid var(--border);border-radius:14px 0 0 14px}.tbl td:last-child{border-right:1px solid var(--border);border-radius:0 14px 14px 0}.amt.neg{color:var(--red)}.amt.pos{color:var(--green)}.right{text-align:right}
- 10 .tag{display:inline-block;padding:3px 8px;border-radius:999px;background:#1b2547;color:#d5e3ff;font-size:12px;margin:2px 4px 2px 0}.src{display:flex;flex-direction:column;gap:3px}.merchant{font-weight:600;line-height:1.25}.desc{margin-top:4px;color:var(--muted);font-size:12px;line-height:1.35}.sub{margin-top:4px}.btns{display:flex;gap:6px;flex-wrap:wrap}.b{padding:8px 10px;min-height:38px;border-radius:10px;border:1px solid var(--border);background:var(--panel);color:var(--text);cursor:pointer;font-size:12px}.b.active{outline:2px solid var(--accent)}.b.ss.active,.b.vv.active{background:#16341f}.b.svs.active,.b.vvs.active{background:#3b330f}.b.sv.active,.b.vs.active{background:#341b1b}
+ 10 .tag{display:inline-block;padding:3px 8px;border-radius:999px;background:#1b2547;color:#d5e3ff;font-size:12px;margin:2px 4px 2px 0}.tag.conf-alta{background:#183c2a;color:#bcffd7}.tag.conf-media{background:#3f3513;color:#ffe59a}.tag.conf-baja{background:#4a1f1f;color:#ffb1b1}.src{display:flex;flex-direction:column;gap:3px}.merchant{font-weight:600;line-height:1.25}.desc{margin-top:4px;color:var(--muted);font-size:12px;line-height:1.35}.sub{margin-top:4px}.btns{display:flex;gap:6px;flex-wrap:wrap}.b{padding:8px 10px;min-height:38px;border-radius:10px;border:1px solid var(--border);background:var(--panel);color:var(--text);cursor:pointer;font-size:12px}.b.active{outline:2px solid var(--accent)}.b.ss.active,.b.vv.active{background:#16341f}.b.svs.active,.b.vvs.active{background:#3b330f}.b.sv.active,.b.vs.active{background:#341b1b}
  11 .mobileOnly{display:none}.desktopOnly{display:table-cell}
  12 ul{margin:8px 0 0 18px;padding:0}li{margin:4px 0}
  13 @media (max-width:700px){
  14   .wrap{padding:10px}.titlebar h1{font-size:20px}.big{font-size:22px}.grid{grid-template-columns:repeat(2,minmax(0,1fr))}.card{padding:10px}.controls{grid-template-columns:1fr 1fr}.mobileOnly{display:block}.desktopOnly{display:none}
     ...
 124   const country = SUMMARY.by_country_trip || {};
 125   document.querySelector('#catSummary').innerHTML = Object.entries(cat).map(([k,v])=>`<div class="small">${esc(k)}: ${fmt(v)}</div>`).join('');
 126   document.querySelector('#countrySummary').innerHTML = Object.entries(country).map(([k,v])=>`<div class="small">${esc(k)}: ${fmt(v)}</div>`).join('');
 127 }
+128 function confTag(x){ return x.description_confidence ? `<span class="tag conf-${esc(x.description_confidence)}">${esc(x.description_confidence)}</span>` : ''; }
 128 function mobileRow(x){
 129   return `

 130

quién

${esc(x.paid_by==='S'?'Sebas':'Vicky')}${esc(x.source_ref)}

 131

fecha

${esc(x.date||'')}

-132

movimiento

${esc(x.merchant)}

${esc(x.description||'')}

${esc(x.status||'')} · ${esc(x.country_guess||'?')} · ${esc(x.trip_scope)}

+133

movimiento

${esc(x.merchant)}

${esc(x.description||'')}

${confTag(x)}${esc(x.status||'')} · ${esc(x.country_guess||'?')} · ${esc(x.trip_scope)}

 133

cat

 ${esc(x.category_guess)}${x.is_fee?'fee':''}

 134

usd
<div class="value amt ${x.amount_usd<0?'neg':'pos'}">${fmt(x.amount_usd)}

 135

marcar

${allocButtons(x)}

 136

`;
     ...
 138 function desktopRow(x){
 139   return `

 140
${esc(x.paid_by==='S'?'Sebas':'Vicky')}${esc(x.source_ref)}

 141     ${esc(x.date||'')}
-142
${esc(x.merchant)}

${esc(x.description||'')}

${esc(x.status||'')} · ${esc(x.country_guess||'?')} · ${esc(x.trip_scope)}

+143
${esc(x.merchant)}

${esc(x.description||'')}

${confTag(x)}${esc(x.status||'')} · ${esc(x.country_guess||'?')} · ${esc(x.trip_scope)}

 143     ${esc(x.category_guess)}${x.is_fee?'fee':''}
 144     <td class="right amt ${x.amount_usd<0?'neg':'pos'}">${fmt(x.amount_usd)}
 145
${allocButtons(x)}

 146
`;
     ...


bash

curl -fsS http://127.0.0.1/gastos-europa/api/data | python3 - <<'PY'
import sys,json
j=json.load(sys.stdin)
rows=j['transactions']
print(rows[0]['description_confidence'])
print([r['description'] for r in rows if 'Sam tabak' in r['merchant']][0])
PY


curl: (23) Failure writing output to destination, passed 16384 returned 0
Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
  File "/usr/lib/python3.13/json/__init__.py", line 293, in load
    return loads(fp.read(),
        cls=cls, object_hook=object_hook,
        parse_float=parse_float, parse_int=parse_int,
        parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
  File "/usr/lib/python3.13/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ~~~~~~~~~~~~~~~~~~~~~~~^^^
  File "/usr/lib/python3.13/json/decoder.py", line 345, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.13/json/decoder.py", line 363, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Command exited with code 1


**Considering bash pipe issues**

I'm thinking about a pipe issue I'm encountering. Using `bash -lc` along with a temporary file could be a simpler solution than my current approach. Maybe I could just `cat` the file locally to see if that resolves the problem more efficiently. This seems like a straightforward idea, but I want to make sure it's the best way to handle it. I'll explore how this could work for my goals.

python3 - <<'PY'
import json
rows=json.load(open('/home/sebas/work/gastos-europa/derived/transactions.json'))
print(rows[0]['description_confidence'])
print([r['description'] for r in rows if 'Sam tabak' in r['merchant']][0])
PY


alta
Tienda de tabaco y souvenirs en Ámsterdam.


Updated #8 (pending → completed)

Guardar gastos Europa en proyecto nuevo

Crear carpeta de proyecto propia y guardar imágenes originales + texto extraído/OCR en raw para luego visualizar y categorizar.

Agregar más capturas al proyecto gastos-europa

Copiar nuevas imágenes 1364-1369 al proyecto y anexar transcripción manual al raw.

Analizar gastos Europa y generar HTML interactivo

Verificar cantidad de fotos, estructurar transacciones extraídas, hacer análisis inicial y generar un HTML con botones S->S / S->V+S / S->V para marcar imputación.

Publicar gastos-europa con persistencia en nginx

Exponer analysis como ruta web en nginx y agregar persistencia server-side simple para selecciones S->S / S->V+S / S->V.

Agregar gastos de Vicky y botones V->*

Incorporar transacciones manuales de Vicky al dataset, marcarlas como pagadas por Vicky, extender app con botones V->V / V->V+S / V->S y actualizar análisis/persistencia.

Mejorar vista mobile de gastos-europa

Ajustar HTML/CSS/UX para teléfono: controles más compactos, cards y tabla/filas más legibles, acciones fáciles de tocar.

Agregar descripción de una línea a todos los movimientos

Enriquecer dataset con una descripción corta por comercio basada en conocimiento/heurísticas y mostrarla en la app mobile/desktop.

Mejorar descripciones con contexto e internet

Agregar confidence y refinar descripciones de comercios usando contexto de gastos cercanos y búsquedas web para los ambiguos.


Sí.

Lo mejoré con:
- descripciones más específicas
- contexto de ubicación/fecha alrededor
- mejor inferencia para los ambiguos
- etiqueta de confianza:
  - `alta`
  - `media`
  - `baja`

Ya está en:
`https://ballbox-first.emperor-ratio.ts.net/gastos-europa/`

Ejemplos mejorados:
- `Het Karbeel` → restaurante en Warmoesstraat, Ámsterdam
- `Sam tabak & souve` → tienda de tabaco y souvenirs en Ámsterdam
- `Buckaroo *www annef` → probablemente pago de entradas Anne Frank
- `CH Lumiere` → alojamiento al inicio del viaje
- `R.J. Mulder B.V.` → sigue con baja confianza

Límite real:
- no pude hacer búsqueda web amplia automática por bloqueo anti-bot de buscadores
- igual metí mejoras concretas usando:
  - nombres
  - ciudad/país
  - gastos vecinos
  - matches conocidos

Siguiente paso útil:
- hago una vista/filtro de `solo baja confianza`
- y limpio uno por uno los dudosos.


[telegram] gracias. necesito tambien filtro por query string y por si fue o no clasificado hacia quien es el gasto (bool)


**Considering HTML edits**

I'm thinking about whether I need to make edits to the HTML. It seems like the backend might not require any changes, which is an interesting direction to consider. I wonder if focusing solely on the HTML will be sufficient for what I want to achieve. Maybe I just need to adjust the front-end aspects and leave the backend alone for now. Let's assess what specific edits are necessary!

todo

Agregar filtros por query string y clasificado bool

Soportar filtros iniciales por query string en la URL y un filtro para ver clasificados/no clasificados según allocation.


Created #9: Agregar filtros por query string y clasificado bool (pending)

Guardar gastos Europa en proyecto nuevo

Agregar gastos de Vicky y botones V->*

Mejorar vista mobile de gastos-europa


edit

    <select id="cat" onchange="render()"></select>
  </div>

    <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>
  </div>

function filtered(){
  const q=document.querySelector('#q').value.toLowerCase().trim();
  const trip=document.querySelector('#trip').value;
  const typ=document.querySelector('#typ').value;
  const cat=document.querySelector('#cat').value;
  const paidBy=document.querySelector('#paidBy').value;
  return DATA.filter(x => (!q || JSON.stringify(x).toLowerCase().includes(q)) && (!trip || x.trip_scope===trip) && (!typ || (typ==='fees'?x.is_fee:String(x.type)===typ)) && (!cat || x.category_guess===cat) && (!paidBy || x.paid_by===paidBy));
}

function filtered(){
  const q=document.querySelector('#q').value.toLowerCase().trim();
  const trip=document.querySelector('#trip').value;
  const typ=document.querySelector('#typ').value;
  const cat=document.querySelector('#cat').value;
  const paidBy=document.querySelector('#paidBy').value;
  const classified=document.querySelector('#classified').value;
  return DATA.filter(x => (!q || JSON.stringify(x).toLowerCase().includes(q)) && (!trip || x.trip_scope===trip) && (!typ || (typ==='fees'?x.is_fee:String(x.type)===typ)) && (!cat || x.category_guess===cat) && (!paidBy || x.paid_by===paidBy) && (!classified || (classified==='yes' ? !!x.allocation : !x.allocation)));
}

function initCats(){ const cats=[...new Set(DATA.map(x=>x.category_guess))].sort(); document.querySelector('#cat').innerHTML='<option value="">cat</option>'+cats.map(c=>`<option>${c}</option>`).join(''); }
window.addEventListener('resize', ()=>render());
(async function(){ try{ await loadData(); renderStatic(); initCats(); render(); }catch(err){ document.querySelector('#topnote').textContent = 'Error cargando datos'; }})();

function initCats(){ const cats=[...new Set(DATA.map(x=>x.category_guess))].sort(); document.querySelector('#cat').innerHTML='<option value="">cat</option>'+cats.map(c=>`<option>${c}</option>`).join(''); }
function applyQueryParams(){
  const p = new URLSearchParams(window.location.search);
  const map = { q:'q', trip:'trip', typ:'typ', paidBy:'paidBy', cat:'cat', classified:'classified' };
  for (const [k,id] of Object.entries(map)) {
    const v = p.get(k);
    if (v !== null) {
      const el = document.querySelector('#'+id);
      if (el) el.value = v;
    }
  }
}
window.addEventListener('resize', ()=>render());
(async function(){ try{ await loadData(); renderStatic(); initCats(); applyQueryParams(); render(); }catch(err){ document.querySelector('#topnote').textContent = 'Error cargando datos'; }})();


...
  45       <option value="S">Sebas</option>
  46       <option value="V">Vicky</option>
  47     </select>
  48     <select id="cat" onchange="render()"></select>
+ 49     <select id="classified" onchange="render()">
+ 50       <option value="">clasificado?</option>
+ 51       <option value="yes">sí</option>
+ 52       <option value="no">no</option>
+ 53     </select>
  49

  50

  51

  52

     ...
  90   const trip=document.querySelector('#trip').value;
  91   const typ=document.querySelector('#typ').value;
  92   const cat=document.querySelector('#cat').value;
  93   const paidBy=document.querySelector('#paidBy').value;
- 94   return DATA.filter(x => (!q || JSON.stringify(x).toLowerCase().includes(q)) && (!trip || x.trip_scope===trip) && (!typ || (typ==='fees'?x.is_fee:String(x.type)===typ)) && (!cat || x.category_guess===cat) && (!paidBy || x.paid_by===paidBy));
+ 99   const classified=document.querySelector('#classified').value;
+100   return DATA.filter(x => (!q || JSON.stringify(x).toLowerCase().includes(q)) && (!trip || x.trip_scope===trip) && (!typ || (typ==='fees'?x.is_fee:String(x.type)===typ)) && (!cat || x.category_guess===cat) && (!paidBy || x.paid_by===paidBy) && (!classified || (classified==='yes' ? !!x.allocation : !x.allocation)));
  95 }
  96 function summaryFromRows(rows){
  97   const exp=rows.filter(x=>x.type==='expense');
  98   const out={rows:rows.length, expense:exp.reduce((a,x)=>a+(-x.amount_usd),0), 'S->S':0,'S->V+S':0,'S->V':0,'V->V':0,'V->V+S':0,'V->S':0};
     ...
 161   const mobile = window.matchMedia('(max-width: 700px)').matches;
 162   document.querySelector('#rows').innerHTML = rows.map(x=>mobile ? mobileRow(x) : desktopRow(x)).join('');
 163 }
 164 function initCats(){ const cats=[...new Set(DATA.map(x=>x.category_guess))].sort(); document.querySelector('#cat').innerHTML='<option value="">cat</option>'+cats.map(c=>`<option>${c}</option>`).join(''); }
+171 function applyQueryParams(){
+172   const p = new URLSearchParams(window.location.search);
+173   const map = { q:'q', trip:'trip', typ:'typ', paidBy:'paidBy', cat:'cat', classified:'classified' };
+174   for (const [k,id] of Object.entries(map)) {
+175     const v = p.get(k);
+176     if (v !== null) {
+177       const el = document.querySelector('#'+id);
+178       if (el) el.value = v;
+179     }
+180   }
+181 }
 165 window.addEventListener('resize', ()=>render());
-166 (async function(){ try{ await loadData(); renderStatic(); initCats(); render(); }catch(err){ document.querySelector('#topnote').textContent = 'Error cargando datos'; }})();
+183 (async function(){ try{ await loadData(); renderStatic(); initCats(); applyQueryParams(); render(); }catch(err){ document.querySelector('#topnote').textContent = 'Error cargando datos'; }})();
 167 </script>


Updated #9 (pending → completed)

Guardar gastos Europa en proyecto nuevo

Agregar gastos de Vicky y botones V->*

Mejorar vista mobile de gastos-europa


Listo.

Agregué:
- filtro `clasificado?`
  - `sí`
  - `no`
- filtros por query string en URL

Parámetros soportados:
- `q`
- `trip`
- `typ`
- `paidBy`
- `cat`
- `classified`

Ejemplos:
- solo no clasificados:
  `https://ballbox-first.emperor-ratio.ts.net/gastos-europa/?classified=no`
- solo Sebas no clasificados:
  `https://ballbox-first.emperor-ratio.ts.net/gastos-europa/?paidBy=S&classified=no`
- buscar intruso:
  `https://ballbox-first.emperor-ratio.ts.net/gastos-europa/?q=intruso`
- solo viaje + Vicky + sin clasificar:
  `https://ballbox-first.emperor-ratio.ts.net/gastos-europa/?trip=europe_trip&paidBy=V&classified=no`

Si querés, también te agrego botones rápidos que escriban esos filtros sin tocar selects.


[telegram] gracias. paso gastos mios nuevos

[attachments] /home/sebas/.pi/agent/tmp/telegram
- /1fcba5f5-494b-434e-b9c2-51337f54301b-photo-1389.jpg
- /e6716052-f5c7-49e3-9ade-e417ba69d557-photo-1390.jpg
- /1df05d61-5cd0-4703-a45b-7ee232e08e51-photo-1391.jpg


**Updating project details**

I need to update the project with new screenshots, likely focusing on Airbnb and Deel rather than Europe. The user mentioned “gastos mios nuevos,” which suggests I should add both raw and extracted text. I wonder if these charges are positive? The screenshots have amounts displayed in positive green or orange, which might indicate card charges. It's essential that I comply with these requests to ensure everything is accurate and up to date!

todo

Agregar nuevos gastos de Sebas desde capturas Deel

Guardar 3 capturas nuevas, transcribir movimientos visibles y regenerar dataset/app.


Created #10: Agregar nuevos gastos de Sebas desde capturas Deel (pending)

Guardar gastos Europa en proyecto nuevo

Agregar gastos de Vicky y botones V->*

Mejorar vista mobile de gastos-europa


bash

set -e
proj=/home/sebas/work/gastos-europa
for f in \
'/home/sebas/.pi/agent/tmp/telegram/1fcba5f5-494b-434e-b9c2-51337f54301b-photo-1389.jpg' \
'/home/sebas/.pi/agent/tmp/telegram/e6716052-f5c7-49e3-9ade-e417ba69d557-photo-1390.jpg' \
'/home/sebas/.pi/agent/tmp/telegram/1df05d61-5cd0-4703-a45b-7ee232e08e51-photo-1391.jpg'
do cp -n "$f" "$proj/raw/images/"; done
ls -1 "$proj/raw/images" | wc -l


cat >> /home/sebas/work/gastos-europa/raw/extracted-text.txt <<'EOF'

## photo-1389.jpg
May 2026
- AIRBNB * HMTZRHKTH9 — +$268.02
- AIRBNB * HMDK88JPJ4 — +$108.53
- AIRBNB * HMYWMYDAP2 — +$359.80
- Deel Balance — +$525.00
- AIRBNB * HMYWMYDAP2 — $0.00 (insufficient funds)

## photo-1390.jpg
March 2026
- AIRBNB * HM8E3XH3WJ — +$437.46
- Deel Balance — +$600.00
- AIRBNB * HMDK88JPJ4 — +$141.63
- AIRBNB * HMWCBYZYKC — +$189.01
February 2026
- AIRBNB * — $0.00 (transaction reversed)
- AIRBNB * HM3ZZB4KTC — +$85.58
- AIRBNB * HMWCBYZYKC — +$189.01

## photo-1391.jpg
February 2026
- AIRBNB * HMYWMYDAP2 — +$7.75
- AIRBNB * — $0.00 (transaction reversed)
January 2026
- AIRBNB * — $0.00 (transaction reversed)
- AIRBNB * HMYWMYDAP2 — +$387.47
- Deel Balance — +$620.00
- AIRBNB * HM3ZZB4KTC — +$413.58
December 2025
- Deel Balance — +$500.00
EOF
python3 /home/sebas/work/gastos-europa/app/build_dataset.py


Traceback (most recent call last):
  File "/home/sebas/work/gastos-europa/app/build_dataset.py", line 187, in <module>
    build()
    ~~~~~^^
  File "/home/sebas/work/gastos-europa/app/build_dataset.py", line 168, in build
    entries=[enrich(e,i+1) for i,e in enumerate(parse_sources())]
                                                ~~~~~~~~~~~~~^^
  File "/home/sebas/work/gastos-europa/app/build_dataset.py", line 123, in parse_sources
    amt=float(amount_s.replace('$','').replace(',',''))
ValueError: could not convert string to float: '0.00 (insufficient funds)'

Command exited with code 1


**Evaluating text parsing**

I’m considering how to adjust the parsing for notes. Should I keep it simple and just extract text using a format like 0.00 without adding notes? Or would it be better to build a more robust parser? I think maybe doing both could be beneficial, perhaps with a robust regex. There's a lot to weigh here as I think about the best approach to ensure accuracy and flexibility in parsing the data.

edit

            merchant, amount_s = s[2:].rsplit(' — ',1)
            amt=float(amount_s.replace('$','').replace(',',''))
            entries.append({'source':'sebas_bank','source_ref':photo,'paid_by':'S','date':date or '','status':section or '','merchant':merchant,'amount_usd':amt})

            merchant, amount_s = s[2:].rsplit(' — ',1)
            m = re.search(r'[-+]?\$?([0-9][0-9,]*\.?[0-9]*)', amount_s)
            if not m:
                continue
            num = m.group(0).replace('$','').replace(',','')
            amt=float(num)
            entries.append({'source':'sebas_bank','source_ref':photo,'paid_by':'S','date':date or '','status':section or '','merchant':merchant,'amount_usd':amt})

            merchant, amount_s = s[2:].rsplit(' — ',1)
            amt=float(amount_s.replace('$','').replace(',',''))
            entries.append({'source':'vicky_manual','source_ref':'vicky-manual','paid_by':'V','date':date or '','status':'manual','merchant':merchant,'amount_usd':amt})

            merchant, amount_s = s[2:].rsplit(' — ',1)
            m = re.search(r'[-+]?\$?([0-9][0-9,]*\.?[0-9]*)', amount_s)
            if not m:
                continue
            num = m.group(0).replace('$','').replace(',','')
            amt=float(num)
            entries.append({'source':'vicky_manual','source_ref':'vicky-manual','paid_by':'V','date':date or '','status':'manual','merchant':merchant,'amount_usd':amt})


Successfully replaced 2 block(s) in /home/sebas/work/gastos-europa/app/build_dataset.py.

     ...
 119         if re.match(r'^\d{2}/\d{2}/\d{4}$', s):
 120             date=s; continue
 121         if s.startswith('- ') and ' — ' in s[2:]:
 122             merchant, amount_s = s[2:].rsplit(' — ',1)
-123             amt=float(amount_s.replace('$','').replace(',',''))
+123             m = re.search(r'[-+]?\$?([0-9][0-9,]*\.?[0-9]*)', amount_s)
+124             if not m:
+125                 continue
+126             num = m.group(0).replace('$','').replace(',','')
+127             amt=float(num)
 124             entries.append({'source':'sebas_bank','source_ref':photo,'paid_by':'S','date':date or '','status':section or '','merchant':merchant,'amount_usd':amt})
 125     date=None
 126     for line in VSRC.read_text().splitlines():
 127         s=line.strip()
     ...
 129         if re.match(r'^\d{2}/\d{2}/\d{4}$', s):
 130             date=s; continue
 131         if s.startswith('- ') and ' — ' in s[2:]:
 132             merchant, amount_s = s[2:].rsplit(' — ',1)
-133             amt=float(amount_s.replace('$','').replace(',',''))
+137             m = re.search(r'[-+]?\$?([0-9][0-9,]*\.?[0-9]*)', amount_s)
+138             if not m:
+139                 continue
+140             num = m.group(0).replace('$','').replace(',','')
+141             amt=float(num)
 134             entries.append({'source':'vicky_manual','source_ref':'vicky-manual','paid_by':'V','date':date or '','status':'manual','merchant':merchant,'amount_usd':amt})
 135     return entries
 136
 137
     ...


bash

python3 /home/sebas/work/gastos-europa/app/build_dataset.py && python3 - <<'PY'
import json
p='/home/sebas/work/gastos-europa/derived/transactions.json'
d=json.load(open(p))
print(len(d))
for x in d[-12:]:
    print(x['merchant'], x['amount_usd'], x['type'])
PY


141
PAPIZZA -14.06 expense
TA-WHA CHIN ARTS & CRA -8.93 expense
Hotel Beursstraat -484.92 expense
KamYin BV -45.56 expense
ZARA MADRID PRECIADOS 18 -58.28 expense
BUTRAGUENO ESTEBAN -64.25 expense
VIVAZ ROSALEDA -35.37 expense
VIANDAS DE SALAMANCA -26.73 expense
DEKORAZONCARMEN -17.85 expense
MUSEO DEL PRADO -11.91 expense
CH LUMIERE -184.86 expense
TABERNA LA DANIELA -62.16 expense


python3 - <<'PY'
import json
p='/home/sebas/work/gastos-europa/derived/transactions.json'
d=json.load(open(p))
for x in d:
    if 'AIRBNB' in x['merchant'] or 'Deel Balance' in x['merchant']:
        print(x['source_ref'], x['date'], x['merchant'], x['amount_usd'])
PY


photo-1389.jpg  AIRBNB * HMTZRHKTH9 268.02
photo-1389.jpg  AIRBNB * HMDK88JPJ4 108.53
photo-1389.jpg  AIRBNB * HMYWMYDAP2 359.8
photo-1389.jpg  Deel Balance 525.0
photo-1389.jpg  AIRBNB * HMYWMYDAP2 0.0
photo-1390.jpg  AIRBNB * HM8E3XH3WJ 437.46
photo-1390.jpg  Deel Balance 600.0
photo-1390.jpg  AIRBNB * HMDK88JPJ4 141.63
photo-1390.jpg  AIRBNB * HMWCBYZYKC 189.01
photo-1390.jpg  AIRBNB * 0.0
photo-1390.jpg  AIRBNB * HM3ZZB4KTC 85.58
photo-1390.jpg  AIRBNB * HMWCBYZYKC 189.01
photo-1391.jpg  AIRBNB * HMYWMYDAP2 7.75
photo-1391.jpg  AIRBNB * 0.0
photo-1391.jpg  AIRBNB * 0.0
photo-1391.jpg  AIRBNB * HMYWMYDAP2 387.47
photo-1391.jpg  Deel Balance 620.0
photo-1391.jpg  AIRBNB * HM3ZZB4KTC 413.58
photo-1391.jpg  Deel Balance 500.0


**Updating income classifications**

I think I need to clarify that these are incomes or refunds, not expenses. The user mentioned "gastos mios nuevos," which suggests confusion, so maybe I should ask if they want to keep this classification. I should note that the amounts are likely from Airbnb and Deel as ingresos/reversos. Currently, they are categorized as "other," possibly because of transfers. I’ll update the descriptions and categories for Airbnb and Deel balances to reflect that.

edit

    ('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'),

    elif any(x in low for x in ['openai','aws.amazon','vercel']): cat='subscription'; trip='non_trip'
    elif any(x in low for x in ['deel','interactive brok']): cat='transfer'; trip='non_trip'

    elif any(x in low for x in ['openai','aws.amazon','vercel']): cat='subscription'; trip='non_trip'
    elif any(x in low for x in ['airbnb']): cat='lodging'; trip='non_trip'
    elif any(x in low for x in ['deel balance','deel','interactive brok']): cat='transfer'; trip='non_trip'


     ...
  71     ('viandas de salamanca', 'Tienda gourmet / fiambres / alimentos.', 'alta'),
  72     ('dekorazoncarmen', 'Tienda de decoración o regalos en Madrid.', 'media'),
  73     ('ch lumiere', 'Alojamiento en Madrid o reserva de hotel al inicio del viaje.', 'media'),
  74     ('taberna la daniela', 'Taberna o restaurante madrileño.', 'alta'),
+ 75     ('deel balance', 'Recarga o movimiento interno de saldo Deel.', 'alta'),
+ 76     ('airbnb', 'Cobro, autorización o reverso vinculado a Airbnb.', 'media'),
  75     ('deel', 'Transferencia o pago recibido vía Deel.', 'alta'),
  76     ('interactive brok', 'Transferencia desde Interactive Brokers.', 'alta'),
  77     ('fee for international transaction', 'Comisión bancaria por compra internacional.', 'alta'),
  78     ('monthly account service fee', 'Cargo mensual de mantenimiento de cuenta.', 'alta'),
     ...
 155     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']): cat='food_drink'
 156     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']): cat='shopping'
 157     elif any(x in low for x in ['hotel','ch lumiere','beursstraat','village rosa']): cat='lodging'
 158     elif any(x in low for x in ['openai','aws.amazon','vercel']): cat='subscription'; trip='non_trip'
-159     elif any(x in low for x in ['deel','interactive brok']): cat='transfer'; trip='non_trip'
+161     elif any(x in low for x in ['airbnb']): cat='lodging'; trip='non_trip'
+162     elif any(x in low for x in ['deel balance','deel','interactive brok']): cat='transfer'; trip='non_trip'
 160     if any(x in merchant for x in [' AMSTERDAM ','Amsterdam','SCHIPHOL','BUSSUM','DAMRAK','Albert Heijn','JUMBO','BCK*NS','BCK*GHM','Buckaroo','Singel','Beursstraat','KamYin','PAPIZZA']): country='NL'
 161     if any(x in merchant for x in [' MADRID ','GranVia','PRADO','SAGRADA','EL CORTE','LEFTIES','Cabify','ADOLFO SUAREZ','ZARA MADRID','SALAMANCA','CARMEN','ROSALEDA','BUTRAGUENO']): country='ES'
 162     if any(x in merchant for x in ['PARIS','VERSAILLES','LOUVRE','LUMIERE']): country='FR'
 163     if 'BERLIN' in merchant: country='DE'
     ...


bash

python3 /home/sebas/work/gastos-europa/app/build_dataset.py >/dev/null && python3 - <<'PY'
import json
p='/home/sebas/work/gastos-europa/derived/transactions.json'
d=json.load(open(p))
for x in d:
    if x['source_ref']=='photo-1389.jpg':
        print(x['merchant'], x['category_guess'], x['trip_scope'], x['description'])
PY


AIRBNB * HMTZRHKTH9 lodging non_trip Cobro, autorización o reverso vinculado a Airbnb.
AIRBNB * HMDK88JPJ4 lodging non_trip Cobro, autorización o reverso vinculado a Airbnb.
AIRBNB * HMYWMYDAP2 lodging non_trip Cobro, autorización o reverso vinculado a Airbnb.
Deel Balance transfer non_trip Recarga o movimiento interno de saldo Deel.
AIRBNB * HMYWMYDAP2 lodging non_trip Cobro, autorización o reverso vinculado a Airbnb.


Updated #10 (pending → completed)

Guardar gastos Europa en proyecto nuevo

Agregar gastos de Vicky y botones V->*

Mejorar vista mobile de gastos-europa


Listo.

Agregué las 3 capturas nuevas.
Ahora hay:
- **19 imágenes**
- **141 movimientos** total

Ojo:
- esto nuevo entra más como **Airbnb/Deel**
- mayormente quedaron como
  - ingresos/cobros
  - reversos `0.00`
  - movimientos internos de `Deel Balance`
- los marqué como `non_trip`

También mejoré su clasificación:
- `Airbnb` → lodging / non_trip
- `Deel Balance` → transfer / non_trip

Ya está reflejado en:
`https://ballbox-first.emperor-ratio.ts.net/gastos-europa/`

Si querés, siguiente paso:
- ocultar por default `0.00` reversals
- o meter filtro rápido `solo viaje real` / `sin ingresos`


[telegram] no entendi lo de reversals. si son del trip. son alojamientos en europa para ambos

y por si acaso, asegurate que las sumas de todo se hagan matematicamente con los resultados extraidos, no en base a sumas dentro del chat


**Updating dataset logic**

I need to update the dataset logic to be more direct and acknowledge a mistake. I should probably modify the classification of Airbnb, as it seems like the user's trip includes lodging for both Airbnb and other trips. It's crucial to use extracted results instead of sums from chats because the user already derived them from extracted files. I might need to treat the positive amounts on Deel card transactions as expenses rather than income and adjust parsing to reflect that correctly.

**Clarifying expenses and data parsing**

The user mentioned a trip with accommodations in Europe, so I need to treat Airbnb as expenses but might not allocate them yet. The Deel Balance could be a funding transfer, not an expense. I should update the parser for specific photos since the transactions show positive signs, indicating they could be outgoing card transactions. It makes sense to classify Airbnb costs as expenses while keeping Deel Balance as non-trip income. I also consider excluding reversals of $0.00 as neutral. I'll adjust the dataset accordingly!

**Evaluating income types**

I’m considering how to classify amounts less than zero as income because they might indicate expenses, but maybe I should change zero amounts to neutral. The app currently only filters for income and expenses, so zero doesn’t affect the sums. I think keeping zero as neutral makes sense. I need to ensure that the sums are accurate and derived from the extracted results. I should take another look at the dataset build script to inspect the type classification.


            if not m:
                continue
            num = m.group(0).replace('$','').replace(',','')
            amt=float(num)
            entries.append({'source':'vicky_manual','source_ref':'vicky-manual','paid_by':'V','date':date or '','status':'manual','merchant':merchant,'amount_usd':amt})
    return entries

def enrich(e, idx):
    merchant=e['merchant']; low=merchant.lower(); amt=e['amount_usd']
    typ='expense' if amt<0 else 'income'
    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']): 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 ['albert heijn','jumbo','super','croissanterie','kamyin','viandas']): 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']): 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']): 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','aws.amazon','vercel']): cat='subscription'; trip='non_trip'
    elif any(x in low for x in ['airbnb']): cat='lodging'; trip='non_trip'
    elif any(x in low for x in ['deel balance','deel','interactive brok']): cat='transfer'; trip='non_trip'
    if any(x in merchant for x in [' AMSTERDAM ','Amsterdam','SCHIPHOL','BUSSUM','DAMRAK','Albert Heijn','JUMBO','BCK*NS','BCK*GHM','Buckaroo','Singel','Beursstraat','KamYin','PAPIZZA']): country='NL'
    if any(x in merchant for x in [' MADRID ','GranVia','PRADO','SAGRADA','EL CORTE','LEFTIES','Cabify','ADOLFO SUAREZ','ZARA MADRID','SALAMANCA','CARMEN','ROSALEDA','BUTRAGUENO']): country='ES'
    if any(x in merchant for x in ['PARIS','VERSAILLES','LOUVRE','LUMIERE']): country='FR'
    if 'BERLIN' in merchant: country='DE'
    if 'DUOMO' in merchant: country='IT'
    if 'Vatic' in merchant or 'Vat VA' in merchant: country='VA'
    if 'IMBITUBA BR' in merchant: country='BR'; trip='non_trip'
    if 'WA ON' in merchant or 'CA ON' in merchant or 'Fort Myers FL' in merchant or 'FL ON' in merchant:
        if cat in ('subscription','transfer'): country='US/CA'
    if cat == 'subscription': trip='non_trip'
    desc, conf, desc_source = guess_desc(merchant, cat, fee, typ, country, trip)
    return {**e,'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())]
    (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')
    sum_trip=sum(e['amount_usd'] for e in entries if e['type']=='expense' and e['trip_scope']=='europe_trip')
    sum_nontrip=sum(e['amount_usd'] for e in entries if e['type']=='expense' and e['trip_scope']=='non_trip')
    sum_fees=sum(e['amount_usd'] for e in entries if e['is_fee'])
    sum_income=sum(e['amount_usd'] for e in entries if e['type']=='income')
    by_cat=defaultdict(float); by_country=defaultdict(float); by_payer=defaultdict(float)
    for e in entries:
        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()))}
    (OUT/'summary.json').write_text(json.dumps(summary, indent=2, ensure_ascii=False))

if __name__ == '__main__':
    build()


edit

def enrich(e, idx):
    merchant=e['merchant']; low=merchant.lower(); amt=e['amount_usd']
    typ='expense' if amt<0 else 'income'

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

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
    typ='zero' if amt == 0 else ('expense' if amt < 0 else 'income')

    elif any(x in low for x in ['openai','aws.amazon','vercel']): cat='subscription'; trip='non_trip'
    elif any(x in low for x in ['airbnb']): cat='lodging'; trip='non_trip'
    elif any(x in low for x in ['deel balance','deel','interactive brok']): cat='transfer'; trip='non_trip'

    elif any(x in low for x in ['openai','aws.amazon','vercel']): 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'

    desc, conf, desc_source = guess_desc(merchant, cat, fee, typ, country, trip)
    return {**e,'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}

    desc, conf, desc_source = guess_desc(merchant, cat, fee, typ, country, trip)
    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}


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

     ...
 144             entries.append({'source':'vicky_manual','source_ref':'vicky-manual','paid_by':'V','date':date or '','status':'manual','merchant':merchant,'amount_usd':amt})
 145     return entries
 146
 147
+148 DEEL_AIRBNB_PHOTOS = {'photo-1389.jpg', 'photo-1390.jpg', 'photo-1391.jpg'}
+149
+150
 148 def enrich(e, idx):
 149     merchant=e['merchant']; low=merchant.lower(); amt=e['amount_usd']
-150     typ='expense' if amt<0 else 'income'
+153     if e['source_ref'] in DEEL_AIRBNB_PHOTOS and 'airbnb' in low and amt > 0:
+154         amt = -amt
+155     typ='zero' if amt == 0 else ('expense' if amt < 0 else 'income')
 151     fee=('fee for international transaction' in low or 'monthly account service fee' in low)
 152     cat='other'; country=''; trip='europe_trip'
 153     if fee: cat='fee'
 154     elif any(x in low for x in ['omio','goeuro','cabify','uber','ns ','ns-','schiphol','aerop.','airport','luchthaven']): cat='transport'
     ...
 157     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']): cat='food_drink'
 158     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']): cat='shopping'
 159     elif any(x in low for x in ['hotel','ch lumiere','beursstraat','village rosa']): cat='lodging'
 160     elif any(x in low for x in ['openai','aws.amazon','vercel']): cat='subscription'; trip='non_trip'
-161     elif any(x in low for x in ['airbnb']): cat='lodging'; trip='non_trip'
+166     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'
 162     elif any(x in low for x in ['deel balance','deel','interactive brok']): cat='transfer'; trip='non_trip'
 163     if any(x in merchant for x in [' AMSTERDAM ','Amsterdam','SCHIPHOL','BUSSUM','DAMRAK','Albert Heijn','JUMBO','BCK*NS','BCK*GHM','Buckaroo','Singel','Beursstraat','KamYin','PAPIZZA']): country='NL'
 164     if any(x in merchant for x in [' MADRID ','GranVia','PRADO','SAGRADA','EL CORTE','LEFTIES','Cabify','ADOLFO SUAREZ','ZARA MADRID','SALAMANCA','CARMEN','ROSALEDA','BUTRAGUENO']): country='ES'
 165     if any(x in merchant for x in ['PARIS','VERSAILLES','LOUVRE','LUMIERE']): country='FR'
     ...
 170     if 'WA ON' in merchant or 'CA ON' in merchant or 'Fort Myers FL' in merchant or 'FL ON' in merchant:
 171         if cat in ('subscription','transfer'): country='US/CA'
 172     if cat == 'subscription': trip='non_trip'
 173     desc, conf, desc_source = guess_desc(merchant, cat, fee, typ, country, trip)
-174     return {**e,'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}
+179     if e['source_ref'] in DEEL_AIRBNB_PHOTOS and 'airbnb' in low:
+180         desc = 'Alojamiento de Airbnb del viaje Europa.'
+181         conf = 'alta'
+182         desc_source = 'user_confirmed'
+183     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}
 175
 176
 177 def build():
 178     OUT.mkdir(parents=True, exist_ok=True)
     ...


bash

python3 /home/sebas/work/gastos-europa/app/build_dataset.py && python3 - <<'PY'
import json
s=json.load(open('/home/sebas/work/gastos-europa/derived/summary.json'))
rows=json.load(open('/home/sebas/work/gastos-europa/derived/transactions.json'))
print('trip total', s['expense_total_trip'])
for x in rows:
    if x['source_ref']=='photo-1389.jpg':
        print(x['merchant'], x['amount_usd'], x['type'], x['trip_scope'], x['description'])
PY


trip total 6672.66
AIRBNB * HMTZRHKTH9 -268.02 expense europe_trip Alojamiento de Airbnb del viaje Europa.
AIRBNB * HMDK88JPJ4 -108.53 expense europe_trip Alojamiento de Airbnb del viaje Europa.
AIRBNB * HMYWMYDAP2 -359.8 expense europe_trip Alojamiento de Airbnb del viaje Europa.
Deel Balance 525.0 income non_trip Recarga o movimiento interno de saldo Deel.
AIRBNB * HMYWMYDAP2 0.0 zero europe_trip Alojamiento de Airbnb del viaje Europa.


**Considering data extraction**

I think I need to mention the sums that are computed from the extracted files generated by the script rather than from the chat. It's useful to highlight that the build_dataset function recomputes from raw files each time. It might also be a good idea to include the location of those files for clarity. Okay, that seems like good information to include, so I’ll finalize it like this!

todo

Agregar 3 capturas nuevas, transcribir movimientos visibles y regenerar dataset/app. Corregido: Airbnb del Deel tratado como gasto de alojamiento del viaje Europa; Deel Balance como transferencia no-gasto.


Updated #10

Guardar gastos Europa en proyecto nuevo

Agregar gastos de Vicky y botones V->*

Mejorar vista mobile de gastos-europa


Sí. Mi lectura anterior estuvo mal.

Corregí esto:
- `AIRBNB` de esas 3 capturas ahora cuenta como
  - **gasto**
  - **alojamiento**
  - **europe_trip**
- `Deel Balance` queda como
  - movimiento interno / transferencia
  - **no gasto**
- los `0.00 reversed` no suman nada

Y sí: las sumas se hacen **matemáticamente desde los datos extraídos**, no desde texto del chat.

Fuente real de cómputo:
- `raw/extracted-text.txt`
- `raw/vicky-manual.txt`

Pipeline:
- script:
  `/home/sebas/work/gastos-europa/app/build_dataset.py`
- salida calculada:
  `/home/sebas/work/gastos-europa/derived/transactions.json`
  `/home/sebas/work/gastos-europa/derived/summary.json`

O sea:
- primero se parsea lo extraído
- después se regeneran todas las filas
- después se recalculan todos los totales desde esos montos

Ya quedó reflejado en:
`https://ballbox-first.emperor-ratio.ts.net/gastos-europa/`

Si querés, siguiente paso:
- marcar esos Airbnb como sugerencia default `S->V+S`
- o dejarlos sin clasificar para que los toques vos.


[telegram] document the project for future visits if v not done already (and add a link to it in / on nginx and a mention in docs outside the project too)


Documentar proyecto gastos-europa y enlazarlo

Agregar documentación dentro del proyecto y fuera de él, y sumar link visible desde nginx/portal para futuras visitas.


Created #11: Documentar proyecto gastos-europa y enlazarlo (pending)

Guardar gastos Europa en proyecto nuevo

Agregar gastos de Vicky y botones V->*

Mejorar vista mobile de gastos-europa


# gastos-europa

Proyecto para guardar y luego visualizar/categorizar gastos de Europa.

## Estructura
- `raw/images/` screenshots originales
- `raw/extracted-text.txt` texto extraído/manual de las screenshots

## Notas
- Gastos mayormente conjuntos con Vicky, algunos de Sebas.
- Falta sumar lo que pagó Vicky.
- Después: deduplicar pendientes vs posted, marcar dueño/compartido, categorizar, visualizar.

## App web
- URL: `/gastos-europa/`
- Backend local: `127.0.0.1:18896`
- Persistencia de marcas: `data/allocations.json`
- Service: `gastos-europa.service`


<!doctype html>

  <meta charset=UTF-8 />
  <meta name=viewport content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
  <meta name=theme-color content=#07111f />
  <meta name=apple-mobile-web-app-capable content=yes />
  <meta name=apple-mobile-web-app-status-bar-style content=black-translucent />
  <meta name=apple-mobile-web-app-title content=Ballbox />
  <link rel=manifest href=/manifest.json />
  <title>Ballbox Portal</title>

    Rpi Portal

Sesiones activas —

        Actualizando…

      Calistenia
      Material de entrenamiento.

      Files
      Copyparty.

      Musica
      MP3 compartidos.

      RSS offline
      Lista por fecha con copias locales y links reales.

      RSS
      FreshRSS trial local.

      WiFi tracker
      Actividad observada en la red Wi‑Fi/LAN.

      Domótica
      Control básico de luces y dispositivos LAN.

Streaming

Simple web player for videos with auto subtitles.


- Top-level `/tmp` files older than 3 days are cleaned every 3 days via `bin/tmp-cleanup`.
- Install the cleanup cron with `scripts/install-tmp-cleanup-cron.sh`.
- Remote laptop workflow can be driven from this Pi using `bin/laptop-run`, `bin/laptop-read`, `bin/laptop-write`, `bin/laptop-rsync`, `bin/laptop-mount`, and `bin/laptop-umount` against host `sebastians-macbook-pro-2`.

## Local server routes on `ballbox-first`

Current nginx portal on `:80` exposes:
- `/` → portal home from `/var/www/portal`
- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count
- `/portal/` → proxied app on `127.0.0.1:18789`
- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`
- `/files/` → copyparty file server on `127.0.0.1:3923`
- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`

Implementation note for `/mp3-share/`:
- nginx route lives in `/etc/nginx/sites-available/kiosk`
- portal home link lives in `/var/www/portal/index.html`
- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree
- `downloads/` is the shared/download-served tree; `Downloads/` is the desktop/user inbox

## Remote laptop helpers

Default host is `sebastians-macbook-pro-2`. Override with `LAPTOP_HOST` if needed.

Examples:
- `bin/laptop-run 'uname -a'`
- `bin/laptop-read /Users/sebas/.zshrc | sed -n '1,40p'`
- `bin/laptop-rsync sebastians-macbook-pro-2:/Users/sebas/Downloads/file ./`
- `bin/laptop-rsync ./localfile sebastians-macbook-pro-2:/Users/sebas/Downloads/`
- `printf 'new contents\n' | bin/laptop-write /Users/sebas/Downloads/test.txt`
- `bin/laptop-write --from ./localfile /Users/sebas/Downloads/test.txt`
- `bin/laptop-mount /Users/sebas/Downloads downloads` then work at `~/mnt/laptop/downloads`

## Batch `pi` helpers

Two first-class helpers:

- `bin/pi-loop`: run the same task through multiple sequential `pi` sessions so later passes can reinforce and refine earlier work.
- `bin/pi-job-*`: run one detached inspectable batch job with status/check/wait/stop flow.

Decision rule:

- multiple passes on the same prompt -> `pi-loop`
- one detached batch run -> `pi-job-*`

Unattended helpers should avoid implicit model/provider resolution.

- `bin/pi-loop` defaults to `--provider openai-codex --model gpt-5.4-mini --thinking low` and still lets you override via flags.
- `bin/pi-job-runner` forces `--provider openai-codex --model gpt-5.4-mini --thinking low` by default.
- `pi-job-*` overrides per process with env vars: `PI_PROVIDER`, `PI_MODEL`, `PI_THINKING`.

Start here:
- `docs/pi-loop.md`

Examples:
- `bin/pi-loop --count 3 --cwd /tmp/test --prompt "Touch one file"`
- `PI_MODEL=gpt-5.4 bin/pi-job-start --cwd /path/repo --prompt "Do the task"`

## /tmp cleanup

[6 more lines in file. Use offset=115 to continue.]


**Editing the README**

I need to update the README for the project, particularly the pi-config section. It might also be good to mention the docs runbook and add a link to the portal. I’m considering whether to include the nginx config link since the route exists only at the root. It seems like I can keep the README clean without it. Alright, let’s get started on those edits!

write

# gastos-europa

Proyecto para consolidar, clasificar y revisar gastos del viaje Europa entre Sebas y Vicky.

## Objetivo
- juntar capturas y texto extraído en un solo lugar
- recalcular totales desde datos parseados, no desde texto del chat
- marcar a quién corresponde cada gasto
- separar viaje vs no-viaje
- dejar una app web persistente para futuras visitas

## Estructura
- `raw/images/` screenshots originales
- `raw/extracted-text.txt` texto extraído/manual de screenshots de Sebas
- `raw/vicky-manual.txt` gastos de Vicky cargados manualmente
- `derived/transactions.json` dataset normalizado principal
- `derived/transactions.csv` export tabular
- `derived/summary.json` agregados calculados
- `data/allocations.json` persistencia server-side de marcas
- `app/build_dataset.py` parser + enriquecimiento + recálculo
- `app/server.py` backend local de la app web
- `analysis.html` frontend principal

## Modelo de datos
Cada movimiento queda con:
- `paid_by`: `S` o `V`
- `amount_usd`: monto numérico final
- `type`: `expense`, `income`, `zero`
- `trip_scope`: `europe_trip` o `non_trip`
- `category_guess`
- `allocation`: clasificación manual (`S->S`, `S->V+S`, `S->V`, `V->V`, `V->V+S`, `V->S`)
- `description`, `description_confidence`, `description_source`

## Reglas actuales importantes
- totales y subtotales salen de `derived/transactions.json`, regenerado por `app/build_dataset.py`
- no se suman montos “a ojo” desde el chat
- fees bancarios quedan separados
- `Deel Balance` e ingresos/transferencias no cuentan como gasto
- Airbnb de las capturas Deel `photo-1389..1391` cuenta como alojamiento del viaje Europa
- movimientos `0.00` quedan como `type=zero` y no afectan sumas
- puede haber duplicados entre pending/posted de las capturas bancarias originales; revisar antes de cierre final

## App web
- URL pública: `/gastos-europa/`
- URL completa: `https://ballbox-first.emperor-ratio.ts.net/gastos-europa/`
- Backend local: `127.0.0.1:18896`
- Persistencia de marcas: `data/allocations.json`
- Service: `gastos-europa.service`

## Filtros soportados
UI:
- búsqueda
- scope
- tipo
- quién pagó
- categoría
- clasificado sí/no

Query string:
- `q`
- `trip`
- `typ`
- `paidBy`
- `cat`
- `classified`

Ejemplos:
- `?classified=no`
- `?paidBy=S&classified=no`
- `?trip=europe_trip&paidBy=V&classified=no`

## Operación
Regenerar dataset después de tocar fuentes:

```bash
python3 /home/sebas/work/gastos-europa/app/build_dataset.py
```

Ver backend:

```bash
systemctl status gastos-europa.service
curl http://127.0.0.1:18896/healthz
```

## Pendientes típicos al volver
- deduplicar pending/posted
- revisar descripciones de baja confianza
- cargar más gastos de Vicky o Sebas
- exportar balance neto final entre ambos


Successfully wrote 2739 bytes to /home/sebas/work/gastos-europa/README.md


edit

Current nginx portal on `:80` exposes:
- `/` → portal home from `/var/www/portal`
- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count
- `/portal/` → proxied app on `127.0.0.1:18789`
- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`
- `/files/` → copyparty file server on `127.0.0.1:3923`
- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`
- `/gastos-europa/` → app de revisión/clasificación de gastos del viaje Europa en `127.0.0.1:18896`

Implementation note for `/mp3-share`:
- nginx route lives in `/etc/nginx/sites-available/kiosk`
- portal home link lives in `/var/www/portal/index.html`
- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree
- `downloads/` is the shared/download-served tree; `Downloads/` is the desktop/user inbox

Implementation notes:
- nginx route lives in `/etc/nginx/sites-available/kiosk`
- portal home link lives in `/var/www/portal/index.html`
- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree
- `downloads/` is the shared/download-served tree; `Downloads/` is the desktop/user inbox
- `gastos-europa` project doc lives at `/home/sebas/work/gastos-europa/README.md`


Could not find edits[1] in /home/sebas/pi-config/README.md. The oldText must match exactly including all whitespace and newlines.


Current nginx portal on `:80` exposes:
- `/` → portal home from `/var/www/portal`
- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count
- `/portal/` → proxied app on `127.0.0.1:18789`
- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`
- `/files/` → copyparty file server on `127.0.0.1:3923`
- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`

Implementation note for `/mp3-share/`:
- nginx route lives in `/etc/nginx/sites-available/kiosk`
- portal home link lives in `/var/www/portal/index.html`
- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree
- `downloads/` is the shared/download-served tree; `Downloads/` is the desktop/user inbox

## Remote laptop helpers

Default host is `sebastians-macbook-pro-2`. Override with `LAPTOP_HOST` if needed.

Examples:
- `bin/laptop-run 'uname -a'`
- `bin/laptop-read /Users/sebas/.zshrc | sed -n '1,40p'`
- `bin/laptop-rsync sebastians-macbook-pro-2:/Users/sebas/Downloads/file ./`
- `bin/laptop-rsync ./localfile sebastians-macbook-pro-2:/Users/sebas/Downloads/`
- `printf 'new contents\n' | bin/laptop-write /Users/sebas/Downloads/test.txt`

[36 more lines in file. Use offset=85 to continue.]


Current nginx portal on `:80` exposes:
- `/` → portal home from `/var/www/portal`
- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count
- `/portal/` → proxied app on `127.0.0.1:18789`
- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`
- `/files/` → copyparty file server on `127.0.0.1:3923`
- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`

Implementation note for `/mp3-share/`:
- nginx route lives in `/etc/nginx/sites-available/kiosk`
- portal home link lives in `/var/www/portal/index.html`
- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree
- `downloads/` is the shared/download-served tree; `Downloads/` is the desktop/user inbox

Current nginx portal on `:80` exposes:
- `/` → portal home from `/var/www/portal`
- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count
- `/portal/` → proxied app on `127.0.0.1:18789`
- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`
- `/files/` → copyparty file server on `127.0.0.1:3923`
- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`
- `/gastos-europa/` → app de revisión/clasificación de gastos del viaje Europa en `127.0.0.1:18896`

Implementation notes:
- nginx route lives in `/etc/nginx/sites-available/kiosk`
- portal home link lives in `/var/www/portal/index.html`
- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree
- `downloads/` is the shared/download-served tree; `Downloads/` is the desktop/user inbox
- `gastos-europa` project doc lives at `/home/sebas/work/gastos-europa/README.md`


Successfully replaced 1 block(s) in /home/sebas/pi-config/README.md.

     ...
  64 - `/portal/` → proxied app on `127.0.0.1:18789`
  65 - `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`
  66 - `/files/` → copyparty file server on `127.0.0.1:3923`
  67 - `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`
+ 68 - `/gastos-europa/` → app de revisión/clasificación de gastos del viaje Europa en `127.0.0.1:18896`
  68
- 69 Implementation note for `/mp3-share/`:
+ 70 Implementation notes:
  70 - nginx route lives in `/etc/nginx/sites-available/kiosk`
  71 - portal home link lives in `/var/www/portal/index.html`
  72 - nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree
  73 - `downloads/` is the shared/download-served tree; `Downloads/` is the desktop/user inbox
+ 75 - `gastos-europa` project doc lives at `/home/sebas/work/gastos-europa/README.md`
  74
  75 ## Remote laptop helpers
  76
  77 Default host is `sebastians-macbook-pro-2`. Override with `LAPTOP_HOST` if needed.
     ...


      WiFi tracker
      Actividad observada en la red Wi‑Fi/LAN.

      Gastos Europa
      Revisión, clasificación y reparto Sebas/Vicky.


Successfully replaced 1 block(s) in /var/www/portal/index.html.

...
  60
  61       WiFi tracker
  62       Actividad observada en la red Wi‑Fi/LAN.
  63
+ 64
+ 65       Gastos Europa
+ 66       Revisión, clasificación y reparto Sebas/Vicky.
+ 67
  64
  65       Domótica
  66       Control básico de luces y dispositivos LAN.
  67
     ...


**Considering documentation**

I’m thinking it might be useful to mention the documentation outside of the current project, maybe adding a dedicated document in the pi-config/docs section. I want to ensure everything is clear and organized for users who might be looking for info. It’s all about making things easier for them to find what they need! So, let’s go ahead and create that documentation to enhance clarity and accessibility.

write

# gastos-europa

Referencia rápida para volver al proyecto de gastos del viaje Europa.

## URLs
- app: `https://ballbox-first.emperor-ratio.ts.net/gastos-europa/`
- ruta local nginx: `/gastos-europa/`
- portal: `https://ballbox-first.emperor-ratio.ts.net/`

## Ubicación del proyecto
- raíz: `/home/sebas/work/gastos-europa`
- doc principal: `/home/sebas/work/gastos-europa/README.md`

## Componentes
- frontend: `analysis.html`
- backend: `app/server.py`
- parser/rebuilder: `app/build_dataset.py`
- persistencia de marcas: `data/allocations.json`
- dataset derivado: `derived/transactions.json`
- resumen derivado: `derived/summary.json`

## Rutas de datos fuente
- capturas/texto Sebas: `raw/extracted-text.txt`
- gastos manuales Vicky: `raw/vicky-manual.txt`
- imágenes: `raw/images/`

## Operación
Regenerar dataset:

```bash
python3 /home/sebas/work/gastos-europa/app/build_dataset.py
```

Ver servicio:

```bash
systemctl status gastos-europa.service
curl http://127.0.0.1:18896/healthz
```

## Notas de negocio
- totales salen del dataset derivado, no de sumas manuales del chat
- Airbnb de las capturas Deel `photo-1389..1391` cuenta como alojamiento del viaje Europa
- `Deel Balance` no cuenta como gasto
- `0.00` queda como `type=zero`
- todavía puede haber duplicados pending/posted por revisar


Successfully wrote 1307 bytes to /home/sebas/pi-config/docs/gastos-europa.md


**Considering documentation updates**

I’m thinking about whether adding a link in the README docs section would suffice. It might be enough, but I’m not entirely sure. I could mention it in the pi-config README under docs or routes, which could work too. Also, it seems like nginx might not require a reload for static files, but I need to be careful there. Ultimately, I should consider updating the project docs once everything is complete.


Updated #11 (pending → completed)

Guardar gastos Europa en proyecto nuevo

Agregar gastos de Vicky y botones V->*

Mejorar vista mobile de gastos-europa


Done.

Added:
- project doc expanded:
  `/home/sebas/work/gastos-europa/README.md`
- external doc:
  `/home/sebas/pi-config/docs/gastos-europa.md`
- portal link on nginx home:
  `/` now links to `/gastos-europa/`
- external mention in:
  `/home/sebas/pi-config/README.md`

Main app:
- `https://ballbox-first.emperor-ratio.ts.net/gastos-europa/`

Portal:
- `https://ballbox-first.emperor-ratio.ts.net/`

Documented:
- structure
- data flow
- calc rules
- service/backend
- persistence
- rebuild commands
- current business rules
- return checklist for future visits


/new


queued new Telegram Pi session: pi-telegram