report_completo: evita la rottura delle tabelle tra pagine
Ogni blocco (titolo + tabella) è avvolto in KeepTogether: simboli del modello, campionamento e parametri per induttore, riepilogo finale. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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|
||||
% ReportLab generated PDF document -- digest (opensource)
|
||||
|
||||
/Info 38 0 R
|
||||
@@ -419,5 +419,5 @@ trailer
|
||||
/Size 47
|
||||
>>
|
||||
startxref
|
||||
570506
|
||||
570434
|
||||
%%EOF
|
||||
+35
-27
@@ -482,15 +482,17 @@ def generate_pdf(induttori: list[dict], t_inf: str):
|
||||
"Ogni tratto di acquisizione è interpolato con la legge di "
|
||||
"raffreddamento di Newton (convezione termica):", s["body"]))
|
||||
story.append(Spacer(1, 0.1 * cm))
|
||||
story.append(render_eq(r"T(t) = T_{\infty} + A\,e^{-(t-t_0)/\tau}", tmpdir))
|
||||
story.append(Spacer(1, 0.15 * cm))
|
||||
story.append(Table([
|
||||
["Simbolo", "Significato", "Unità"],
|
||||
[render_sym(r"T_{\infty}", tmpdir), "Temperatura ambiente — valore fisso", "°C"],
|
||||
[render_sym(r"A", tmpdir), "Ampiezza iniziale — parametro libero", "°C"],
|
||||
[render_sym(r"t_0", tmpdir), "Istante di riferimento — valore fisso", "s"],
|
||||
[render_sym(r"\tau", tmpdir), "Costante di tempo — parametro libero", "s"],
|
||||
], colWidths=[2.5 * cm, 9.5 * cm, CW - 12 * cm], style=_ts()))
|
||||
story.append(KeepTogether([
|
||||
render_eq(r"T(t) = T_{\infty} + A\,e^{-(t-t_0)/\tau}", tmpdir),
|
||||
Spacer(1, 0.15 * cm),
|
||||
Table([
|
||||
["Simbolo", "Significato", "Unità"],
|
||||
[render_sym(r"T_{\infty}", tmpdir), "Temperatura ambiente — valore fisso", "°C"],
|
||||
[render_sym(r"A", tmpdir), "Ampiezza iniziale — parametro libero", "°C"],
|
||||
[render_sym(r"t_0", tmpdir), "Istante di riferimento — valore fisso", "s"],
|
||||
[render_sym(r"\tau", tmpdir), "Costante di tempo — parametro libero", "s"],
|
||||
], colWidths=[2.5 * cm, 9.5 * cm, CW - 12 * cm], style=_ts()),
|
||||
]))
|
||||
story.append(Spacer(1, 0.3 * cm))
|
||||
story.append(Paragraph(
|
||||
"La regressione usa il metodo <i>Trust Region Reflective</i> (TRF) "
|
||||
@@ -506,26 +508,30 @@ def generate_pdf(induttori: list[dict], t_inf: str):
|
||||
story += _section_banner(f"{i}. {ind['nome']}", s["h1"])
|
||||
|
||||
# Campionamento
|
||||
story.append(Paragraph("Intervallo di campionamento", s["h2"]))
|
||||
rows = [["Parametro", "Valore"],
|
||||
["Inizio intervallo", f"{ind['t0']} s"],
|
||||
["Fine intervallo", f"{ind['t_end']} s"],
|
||||
["Numero di punti", ind["n_punti"]]]
|
||||
if ind["zona_exc"]:
|
||||
rows.append(["Zona esclusa (σ → ∞)", ind["zona_exc"]])
|
||||
story.append(Table(rows, colWidths=[7 * cm, CW - 7 * cm], style=_ts()))
|
||||
story.append(KeepTogether([
|
||||
Paragraph("Intervallo di campionamento", s["h2"]),
|
||||
Table(rows, colWidths=[7 * cm, CW - 7 * cm], style=_ts()),
|
||||
]))
|
||||
story.append(Spacer(1, 0.3 * cm))
|
||||
|
||||
# Equazione
|
||||
story.append(Paragraph("Equazione del modello", s["h2"]))
|
||||
story.append(render_eq(ind["eq_latex"], tmpdir))
|
||||
story.append(Spacer(1, 0.2 * cm))
|
||||
story.append(Table([
|
||||
["Parametro", "Valore stimato", "Incertezza (1σ)", "Descrizione"],
|
||||
[render_sym(r"A", tmpdir), f"{ind['A']} °C", f"± {ind['A_err']} °C", "Ampiezza"],
|
||||
[render_sym(r"\tau", tmpdir), f"{ind['tau']} s", f"± {ind['tau_err']} s", "Costante di tempo"],
|
||||
[render_sym(r"R^2", tmpdir), ind["r2"], "—", "Qualità del fit"],
|
||||
], colWidths=[2.2 * cm, 4.2 * cm, 4 * cm, CW - 10.4 * cm], style=_ts()))
|
||||
story.append(KeepTogether([
|
||||
Paragraph("Equazione del modello", s["h2"]),
|
||||
render_eq(ind["eq_latex"], tmpdir),
|
||||
Spacer(1, 0.2 * cm),
|
||||
Table([
|
||||
["Parametro", "Valore stimato", "Incertezza (1σ)", "Descrizione"],
|
||||
[render_sym(r"A", tmpdir), f"{ind['A']} °C", f"± {ind['A_err']} °C", "Ampiezza"],
|
||||
[render_sym(r"\tau", tmpdir), f"{ind['tau']} s", f"± {ind['tau_err']} s", "Costante di tempo"],
|
||||
[render_sym(r"R^2", tmpdir), ind["r2"], "—", "Qualità del fit"],
|
||||
], colWidths=[2.2 * cm, 4.2 * cm, 4 * cm, CW - 10.4 * cm], style=_ts()),
|
||||
]))
|
||||
story.append(Spacer(1, 0.3 * cm))
|
||||
|
||||
# Grafico
|
||||
@@ -543,17 +549,19 @@ def generate_pdf(induttori: list[dict], t_inf: str):
|
||||
story.append(PageBreak())
|
||||
n_sec = len(induttori) + 2
|
||||
story += _section_banner(f"{n_sec}. Riepilogo comparativo", s["h1"])
|
||||
story.append(Paragraph(
|
||||
"Parametri ottimali dalla regressione non lineare per ciascun induttore. "
|
||||
"R² calcolato escludendo i punti con peso nullo.", s["body"]))
|
||||
story.append(Spacer(1, 0.2 * cm))
|
||||
summary = [["Induttore", "Intervallo [s]", "A [°C]", "τ [s]", "R²"]]
|
||||
for ind in induttori:
|
||||
summary.append([ind["nome"], ind["intervallo"],
|
||||
ind["A"], ind["tau"], ind["r2"]])
|
||||
story.append(Table(summary,
|
||||
colWidths=[3.5 * cm, 4.5 * cm, 3 * cm, 3 * cm, CW - 14 * cm],
|
||||
style=_ts(C_DARK)))
|
||||
story.append(KeepTogether([
|
||||
Paragraph(
|
||||
"Parametri ottimali dalla regressione non lineare per ciascun induttore. "
|
||||
"R² calcolato escludendo i punti con peso nullo.", s["body"]),
|
||||
Spacer(1, 0.2 * cm),
|
||||
Table(summary,
|
||||
colWidths=[3.5 * cm, 4.5 * cm, 3 * cm, 3 * cm, CW - 14 * cm],
|
||||
style=_ts(C_DARK)),
|
||||
]))
|
||||
|
||||
doc.build(story, canvasmaker=ProfessionalCanvas)
|
||||
shutil.rmtree(tmpdir, ignore_errors=True)
|
||||
|
||||
Reference in new issue
Block a user