1.4.1 (build 42): contribución por snapshot, fixes Period vs Period y navegación iPad
- 151: contribución editable por snapshot en cualquier modo (quitado gate detailed) con diálogo de propagación al editar: solo este / adelante / atrás / todos (SnapshotRepository.propagateContribution, SnapshotFormViewModel.contributionChanged) - 148: Period vs Period mostraba mal el último mes del period B — la agrupación usaba chartMonth(for:) que aplicaba el grace-period del check-in a snapshots históricos; ahora agrupa por mes calendario crudo - 152: iPad Sources no saltaba entre fuentes — añadido .id() al SourceDetailView para recrear el StateObject al cambiar de selección - 146/147: Year vs Year con forecast del año en curso (asterisco de estimado) y KPIs arriba / detalle debajo - 145: card de contribución mensual en SourceDetailView - Nuevas claves snapshot_contribution_propagate_* en los 7 idiomas Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015qUZrBusG82T37R7PeokqJ
This commit is contained in:
alexandrev-tibco
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"""
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GA4 Analytics report for Portfolio Journal
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Property: 300195945
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"""
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import os
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from datetime import date, timedelta
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from google.analytics.data_v1beta import BetaAnalyticsDataClient
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from google.analytics.data_v1beta.types import (
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RunReportRequest, Dimension, Metric, DateRange, OrderBy, FilterExpression, Filter
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)
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PROPERTY_ID = "519342587"
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import subprocess, json, tempfile
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def _fix_multiline_json(raw):
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result, in_string, escape_next = [], False, False
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for c in raw:
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if escape_next:
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result.append(c); escape_next = False
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elif c == '\\':
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result.append(c); escape_next = True
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elif c == '"':
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in_string = not in_string; result.append(c)
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elif in_string and c == '\n':
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result.append('\\n')
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elif in_string and c == '\r':
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pass
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else:
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result.append(c)
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return ''.join(result)
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key_raw = subprocess.check_output(["pass", "show", "google/sirius-service-account"]).decode()
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key_json = json.dumps(json.loads(_fix_multiline_json(key_raw)))
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_tmp = tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False)
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_tmp.write(key_json); _tmp.flush()
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os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = _tmp.name
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client = BetaAnalyticsDataClient()
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TODAY = date.today().isoformat()
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D7 = (date.today() - timedelta(days=7)).isoformat()
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D28 = (date.today() - timedelta(days=28)).isoformat()
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D90 = (date.today() - timedelta(days=90)).isoformat()
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def run(dimensions, metrics, date_from, date_to=TODAY, order_by=None, limit=20):
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req = RunReportRequest(
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property=f"properties/{PROPERTY_ID}",
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dimensions=[Dimension(name=d) for d in dimensions],
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metrics=[Metric(name=m) for m in metrics],
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date_ranges=[DateRange(start_date=date_from, end_date=date_to)],
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limit=limit,
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)
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if order_by:
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req.order_bys = order_by
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return client.run_report(req)
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def run_no_dim(metrics, date_from, date_to=TODAY):
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req = RunReportRequest(
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property=f"properties/{PROPERTY_ID}",
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metrics=[Metric(name=m) for m in metrics],
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date_ranges=[DateRange(start_date=date_from, end_date=date_to)],
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)
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return client.run_report(req)
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def header(title):
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print(f"\n{'='*60}")
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print(f" {title}")
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print('='*60)
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def fmt_row(row, widths):
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parts = [str(v.value).ljust(w) for v, w in zip(list(row.dimension_values) + list(row.metric_values), widths)]
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print(" " + " ".join(parts))
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# ── 1. Overview ────────────────────────────────────────────────
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header("OVERVIEW — últimos 28 días vs 7 días")
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r28 = run_no_dim(["activeUsers", "sessions", "screenPageViews", "averageSessionDuration"], D28)
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r7 = run_no_dim(["activeUsers", "sessions", "screenPageViews", "averageSessionDuration"], D7)
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def ovw(r):
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row = r.rows[0]
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vals = [v.value for v in row.metric_values]
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return vals
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v28 = ovw(r28)
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v7 = ovw(r7)
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labels = ["Usuarios activos", "Sesiones", "Pantallas vistas", "Duración media (s)"]
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print(f"\n {'Métrica':<30} {'28d':>10} {'7d':>10}")
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print(" " + "-"*52)
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for l, a, b in zip(labels, v28, v7):
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print(f" {l:<30} {a:>10} {b:>10}")
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# ── 2. Pantallas más visitadas ──────────────────────────────────
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header("PANTALLAS MÁS VISITADAS — últimos 28d")
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r = run(["unifiedScreenName"], ["screenPageViews", "activeUsers"], D28,
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order_by=[OrderBy(metric=OrderBy.MetricOrderBy(metric_name="screenPageViews"), desc=True)])
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print(f"\n {'Pantalla':<40} {'Vistas':>8} {'Usuarios':>10}")
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print(" " + "-"*60)
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for row in r.rows:
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fmt_row(row, [40, 8, 10])
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# ── 3. Eventos clave ────────────────────────────────────────────
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header("EVENTOS CLAVE — últimos 28d")
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r = run(["eventName"], ["eventCount", "totalUsers"], D28,
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order_by=[OrderBy(metric=OrderBy.MetricOrderBy(metric_name="eventCount"), desc=True)],
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limit=30)
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print(f"\n {'Evento':<45} {'Count':>8} {'Usuarios':>10}")
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print(" " + "-"*65)
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for row in r.rows:
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fmt_row(row, [45, 8, 10])
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# ── 4. Funnel paywall ───────────────────────────────────────────
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header("FUNNEL PAYWALL — últimos 90d")
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paywall_events = [
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"paywall_shown", "purchase_attempt", "purchase_success", "purchase_failure",
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"restore_purchases"
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]
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r = run(["eventName"], ["eventCount", "totalUsers"], D90,
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order_by=[OrderBy(metric=OrderBy.MetricOrderBy(metric_name="eventCount"), desc=True)],
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limit=50)
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print(f"\n {'Evento paywall':<40} {'Count':>8} {'Usuarios':>10}")
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print(" " + "-"*60)
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for row in r.rows:
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name = row.dimension_values[0].value
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if any(p in name for p in ["paywall", "purchase", "restore", "premium"]):
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fmt_row(row, [40, 8, 10])
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# ── 5. Triggers del paywall ─────────────────────────────────────
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header("TRIGGERS DEL PAYWALL — últimos 90d (qué feature lo dispara)")
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try:
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r = run(["eventName", "customEvent:paywall_trigger"], ["eventCount"], D90,
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order_by=[OrderBy(metric=OrderBy.MetricOrderBy(metric_name="eventCount"), desc=True)],
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limit=30)
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rows = [row for row in r.rows if "paywall" in row.dimension_values[0].value]
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if rows:
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print(f"\n {'Evento':<30} {'Trigger':<25} {'Count':>8}")
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print(" " + "-"*65)
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for row in rows:
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fmt_row(row, [30, 25, 8])
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else:
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print("\n (sin eventos paywall con trigger en este periodo — los datos aparecerán desde hoy)")
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except Exception as e:
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print(f"\n Error: {e}")
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# ── 6. Retención — nuevos vs recurrentes ───────────────────────
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header("NUEVOS vs RECURRENTES — últimos 28d")
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r = run(["newVsReturning"], ["activeUsers", "sessions", "screenPageViews"], D28,
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order_by=[OrderBy(metric=OrderBy.MetricOrderBy(metric_name="activeUsers"), desc=True)])
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print(f"\n {'Tipo':<20} {'Usuarios':>10} {'Sesiones':>10} {'Pantallas':>10}")
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print(" " + "-"*54)
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for row in r.rows:
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fmt_row(row, [20, 10, 10, 10])
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# ── 7. Versiones de app ─────────────────────────────────────────
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header("VERSIONES EN USO — últimos 28d")
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r = run(["appVersion"], ["activeUsers", "sessions"], D28,
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order_by=[OrderBy(metric=OrderBy.MetricOrderBy(metric_name="activeUsers"), desc=True)],
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limit=10)
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print(f"\n {'Versión':<20} {'Usuarios':>10} {'Sesiones':>10}")
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print(" " + "-"*44)
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for row in r.rows:
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fmt_row(row, [20, 10, 10])
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# ── 8. Dispositivos ─────────────────────────────────────────────
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header("DISPOSITIVOS — últimos 28d")
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r = run(["deviceModel"], ["activeUsers"], D28,
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order_by=[OrderBy(metric=OrderBy.MetricOrderBy(metric_name="activeUsers"), desc=True)],
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limit=10)
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print(f"\n {'Dispositivo':<30} {'Usuarios':>10}")
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print(" " + "-"*44)
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for row in r.rows:
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fmt_row(row, [30, 10])
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# ── 9. País / región ────────────────────────────────────────────
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header("PAÍSES — últimos 28d")
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r = run(["country"], ["activeUsers"], D28,
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order_by=[OrderBy(metric=OrderBy.MetricOrderBy(metric_name="activeUsers"), desc=True)],
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limit=10)
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print(f"\n {'País':<30} {'Usuarios':>10}")
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print(" " + "-"*44)
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for row in r.rows:
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fmt_row(row, [30, 10])
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print("\n")
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