Dessiner la planche PDF : quadrillage L93, légende, encart qualité et cartouche

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
Antoine Jacquin
2026-09-27 15:47:12 +02:00
parent 94ecba7b3b
commit 1336571da7
2 changed files with 350 additions and 0 deletions

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@ -305,3 +305,287 @@ def zone_quality(bbox, table, cells_with_relief):
"missing_quality": missing_q,
"grid_cells": grid_cells,
}
class NoDataError(Exception):
"""Aucune dalle du relief orienté dans l'emprise demandée."""
_JPEG_QUALITY = 90
_SCALEBAR_STEPS = (10, 20, 25, 50, 100, 200, 250, 500, 1000, 2000)
def _fmt_int(n):
return f"{int(n):,}".replace(",", " ")
def _hex(rgb):
return "#%02x%02x%02x" % tuple(rgb)
def _convergence_deg(cx, cy):
"""Angle (°) du nord géographique par rapport au nord du quadrillage L93."""
lat0, lon0 = _to_wgs84(cx, cy)
lat1, lon1 = _to_wgs84(cx, cy + 100.0)
return math.degrees(math.atan2((lon1 - lon0) * math.cos(math.radians(lat0)), lat1 - lat0))
def _panel_boxes(lay):
"""Rectangles (x, y, w, h) mm du bandeau : légende, qualité, cartouche."""
gap = 4.0
if lay.orient == "paysage":
h = (lay.panel_h - 2 * gap) / 3
x, w = lay.panel_x, lay.panel_w
top = lay.panel_y + lay.panel_h
return [(x, top - h, w, h), (x, top - 2 * h - gap, w, h), (x, lay.panel_y, w, h)]
w = (lay.panel_w - 2 * gap) / 3
y, h = lay.panel_y, lay.panel_h
return [(lay.panel_x, y, w, h), (lay.panel_x + w + gap, y, w, h),
(lay.panel_x + 2 * (w + gap), y, w, h)]
def _draw_grid(c, lay, bbox, mm):
"""Quadrillage L93 + valeurs en marge + coins WGS84."""
from reportlab.lib.colors import black
step = grid_step(lay.scale)
sx = lay.map_w / (bbox[2] - bbox[0])
sy = lay.map_h / (bbox[3] - bbox[1])
c.saveState()
c.setStrokeColor(black); c.setStrokeAlpha(0.55); c.setLineWidth(0.3)
c.setFont("Helvetica", 5.5); c.setFillColor(black)
x = math.ceil(bbox[0] / step) * step
while x <= bbox[2]:
px = (lay.map_x + (x - bbox[0]) * sx) * mm
c.line(px, lay.map_y * mm, px, (lay.map_y + lay.map_h) * mm)
label = f"{x / 1000:.3f}".replace(".", ",")
c.drawCentredString(px, (lay.map_y - 3.2) * mm, label)
c.drawCentredString(px, (lay.map_y + lay.map_h + 1.4) * mm, label)
x += step
y = math.ceil(bbox[1] / step) * step
while y <= bbox[3]:
py = (lay.map_y + (y - bbox[1]) * sy) * mm
c.line(lay.map_x * mm, py, (lay.map_x + lay.map_w) * mm, py)
label = f"{y / 1000:.3f}".replace(".", ",")
c.saveState(); c.translate((lay.map_x - 1.4) * mm, py); c.rotate(90)
c.drawCentredString(0, 0, label); c.restoreState()
c.saveState(); c.translate((lay.map_x + lay.map_w + 3.2) * mm, py); c.rotate(90)
c.drawCentredString(0, 0, label); c.restoreState()
y += step
c.restoreState()
c.setFont("Helvetica", 5.5)
for (gx, gy), (px, py, align) in (
((bbox[0], bbox[3]), (lay.map_x, lay.map_y + lay.map_h + 4.2, "l")),
((bbox[2], bbox[3]), (lay.map_x + lay.map_w, lay.map_y + lay.map_h + 4.2, "r")),
((bbox[0], bbox[1]), (lay.map_x, lay.map_y - 6.2, "l")),
((bbox[2], bbox[1]), (lay.map_x + lay.map_w, lay.map_y - 6.2, "r"))):
lat, lon = _to_wgs84(gx, gy)
txt = f"{lat:.5f} N {lon:.5f} E"
(c.drawString if align == "l" else c.drawRightString)(px * mm, py * mm, txt)
c.setFont("Helvetica", 5.5)
c.drawString(lay.map_x * mm, (lay.map_y + lay.map_h + 6.2) * mm,
_pdf_text(f"Quadrillage Lambert 93 (km), pas {_fmt_int(step)} m - coins en WGS84"))
def _draw_legend(c, box, mm):
"""Barre de clarté + rose des orientations + texte de VIZ_LEGENDS."""
from reportlab.lib.colors import HexColor, black, white
from .index import VIZ_LEGENDS
x, y, w, h = box
c.setFillColor(black); c.setFont("Helvetica-Bold", 8)
c.drawString(x * mm, (y + h - 4) * mm, _pdf_text("Légende - relief orienté"))
# Barre de clarté (L* 20 → 90, gris neutre)
bx, by, bw, bh = x, y + h - 13, min(w, 55.0), 4.0
n = 40
for k in range(n):
L = 20 + 70 * k / (n - 1)
c.setFillColor(HexColor(_hex(lab_to_rgb(L, 0, 0))))
c.rect((bx + bw * k / n) * mm, by * mm, (bw / n + 0.05) * mm, bh * mm, stroke=0, fill=1)
c.setFillColor(black); c.setFont("Helvetica", 6)
c.drawString(bx * mm, (by - 2.8) * mm, _pdf_text("creux, fossé"))
c.drawRightString((bx + bw) * mm, (by - 2.8) * mm, _pdf_text("bosse, crête"))
c.drawString(bx * mm, (by + bh + 0.8) * mm, _pdf_text("Clarté = micro-relief"))
# Rose des orientations (couleur = orientation de la pente)
r_out, r_in = 11.0, 5.0
rcx, rcy = x + r_out + 2, by - 5 - r_out - 2
for deg in range(0, 360, 5):
c.setFillColor(HexColor(_hex(rose_color(deg))))
start = 90 - deg - 2.5
c.wedge((rcx - r_out) * mm, (rcy - r_out) * mm, (rcx + r_out) * mm, (rcy + r_out) * mm,
start, 5.2, stroke=0, fill=1)
c.setFillColor(white)
c.circle(rcx * mm, rcy * mm, r_in * mm, stroke=0, fill=1)
c.setFillColor(black); c.setFont("Helvetica-Bold", 5.5)
for label, deg in (("N", 0), ("E", 90), ("S", 180), ("O", 270)):
a = math.radians(deg)
c.drawCentredString((rcx + (r_out + 2) * math.sin(a)) * mm,
(rcy + (r_out + 2) * math.cos(a) - 0.8) * mm, label)
c.setFont("Helvetica", 6)
c.drawString((rcx + r_out + 5) * mm, (rcy + 2) * mm, _pdf_text("Teinte = orientation"))
c.drawString((rcx + r_out + 5) * mm, (rcy - 1) * mm, _pdf_text("de la pente"))
# Texte de légende
ty = rcy - r_out - 6
c.setFont("Helvetica", 5.8)
for line in VIZ_LEGENDS[LAYER]["legend"].split("\n"):
for part in line.split(" | "):
if ty < y + 1:
return
c.drawString(x * mm, ty * mm, _pdf_text(part))
ty -= 2.9
def _draw_quality(c, box, bbox, zq, mm):
"""Encart qualité : miniature de densité sol + chiffres clés."""
from reportlab.lib.colors import HexColor, black, Color
x, y, w, h = box
c.setFillColor(black); c.setFont("Helvetica-Bold", 8)
c.drawString(x * mm, (y + h - 4) * mm, _pdf_text("Qualité des données"))
# Miniature : emprise de la zone, mailles 50 m colorées par classe
avail_w, avail_h = w * 0.45, h - 10
k = min(avail_w / (bbox[2] - bbox[0]), avail_h / (bbox[3] - bbox[1]))
mw, mh = (bbox[2] - bbox[0]) * k, (bbox[3] - bbox[1]) * k
mx, my = x, y + h - 7 - mh
c.setFillColor(Color(0.85, 0.85, 0.85))
c.rect(mx * mm, my * mm, mw * mm, mh * mm, stroke=0, fill=1) # gris = non renseigné
for gx0, gy0, gx1, gy1, v in zq["grid_cells"]:
x0, x1 = max(gx0, bbox[0]), min(gx1, bbox[2])
y0, y1 = max(gy0, bbox[1]), min(gy1, bbox[3])
c.setFillColor(HexColor(density_color(v)))
c.rect((mx + (x0 - bbox[0]) * k) * mm, (my + (y0 - bbox[1]) * k) * mm,
((x1 - x0) * k + 0.02) * mm, ((y1 - y0) * k + 0.02) * mm, stroke=0, fill=1)
c.setStrokeColor(black); c.setLineWidth(0.4)
c.rect(mx * mm, my * mm, mw * mm, mh * mm, stroke=1, fill=0)
# Classes
lx, ly = x + mw + 3, y + h - 8
c.setFont("Helvetica", 5.8)
c.drawString(lx * mm, ly * mm, _pdf_text("Points sol / m²"))
for low, label, color in DENSITY_CLASSES:
ly -= 3.2
c.setFillColor(HexColor(color)); c.rect(lx * mm, ly * mm, 3 * mm, 2.2 * mm, stroke=0, fill=1)
c.setFillColor(black); c.drawString((lx + 4) * mm, (ly + 0.4) * mm, _pdf_text(label))
ly -= 3.2
c.setFillColor(Color(0.85, 0.85, 0.85)); c.rect(lx * mm, ly * mm, 3 * mm, 2.2 * mm, stroke=0, fill=1)
c.setFillColor(black); c.drawString((lx + 4) * mm, (ly + 0.4) * mm, _pdf_text("non renseigné"))
# Chiffres clés
lines = []
if zq["density_mean"] is None:
lines.append("Densité sol : non renseigné")
else:
lines.append(f"Densité sol moyenne : {zq['density_mean']:.1f} pts/m²".replace(".", ","))
lines.append(f"Maille la plus faible (50 m) : {zq['density_min']:.1f} pts/m²".replace(".", ","))
lines.append(f"Surface sans point sol (interpolée) : {zq['empty_fraction'] * 100:.0f} %")
if zq["acq_start"] is None:
lines.append("Acquisition : non renseigné")
else:
period = zq["acq_start"] if zq["acq_start"] == zq["acq_end"] else \
f"{zq['acq_start']} au {zq['acq_end']}"
label = "Acquisition" if zq["acq_sources"] == {"gps"} else "Date de production du fichier"
lines.append(f"{label} : {period}")
if zq["missing_relief"]:
lines.append("Sans relief : " + ", ".join(f"{c_}_{r_}" for c_, r_ in zq["missing_relief"]))
if zq["missing_quality"]:
lines.append("Qualité non renseignée : " + ", ".join(
f"{c_}_{r_}" for c_, r_ in zq["missing_quality"]))
ty = min(my, ly) - 3.5
c.setFont("Helvetica", 5.8)
for line in lines:
if ty < y + 1:
break
c.drawString(x * mm, ty * mm, _pdf_text(line))
ty -= 2.9
def _draw_cartouche(c, box, lay, bbox, cx, cy, title, now, mm):
"""Titre, échelle graphique et numérique, nord, date, source."""
from reportlab.lib.colors import black, white
x, y, w, h = box
c.setFillColor(black); c.setFont("Helvetica-Bold", 10)
c.drawString(x * mm, (y + h - 5) * mm, _pdf_text(title)[:80])
c.setFont("Helvetica", 7)
c.drawString(x * mm, (y + h - 9) * mm,
_pdf_text(f"Échelle 1:{_fmt_int(lay.scale)} - {lay.paper} {lay.orient} - {lay.dpi} dpi"))
# Échelle graphique : longueur ronde ≤ 40 % de la largeur du bloc
max_m = w * 0.4 / 1000 * lay.scale
length = max((s for s in _SCALEBAR_STEPS if s <= max_m), default=_SCALEBAR_STEPS[0])
bar_mm = length / lay.scale * 1000
bx, by = x, y + h - 15
for k in range(4):
c.setFillColor(black if k % 2 == 0 else white)
c.rect((bx + bar_mm * k / 4) * mm, by * mm, bar_mm / 4 * mm, 1.6 * mm, stroke=1, fill=1)
c.setFillColor(black); c.setFont("Helvetica", 6)
c.drawString(bx * mm, (by - 2.8) * mm, "0")
c.drawRightString((bx + bar_mm) * mm, (by - 2.8) * mm, f"{_fmt_int(length)} m")
# Flèche du nord géographique (la carte est orientée nord du quadrillage)
gamma = _convergence_deg(cx, cy)
ax, ay = x + w - 8, y + h - 12
c.saveState(); c.translate(ax * mm, ay * mm); c.rotate(-gamma)
p = c.beginPath(); p.moveTo(0, 5 * mm); p.lineTo(-1.8 * mm, -3 * mm); p.lineTo(0, -1.5 * mm)
p.lineTo(1.8 * mm, -3 * mm); p.close()
c.drawPath(p, stroke=0, fill=1)
c.setFont("Helvetica-Bold", 6); c.drawCentredString(0, 6 * mm, "N")
c.restoreState()
c.setFont("Helvetica", 5.5)
c.drawRightString((x + w) * mm, (ay - 6) * mm,
_pdf_text(f"convergence L93 {gamma:+.2f}°".replace(".", ",")))
ty = by - 7
c.setFont("Helvetica", 6)
for line in (f"Centre L93 : X {_fmt_int(round(cx))} m Y {_fmt_int(round(cy))} m",
f"Zone : {_fmt_int(round(bbox[2] - bbox[0]))} x {_fmt_int(round(bbox[3] - bbox[1]))} m",
f"Exporté le {now:%d/%m/%Y %H:%M}",
"Source : LiDAR HD (c) IGN - rendu lidar_rendu"):
if ty < y + 1:
break
c.drawString(x * mm, ty * mm, _pdf_text(line))
ty -= 3.0
def build_pdf(output_dir, lat, lon, paper="A4", orient="paysage", scale=2000,
title=None, now=None, compress=True):
"""Planche PDF d'une zone. Returns (octets PDF, nom de fichier).
Raises:
ValueError: réglage invalide.
NoDataError: aucune dalle du relief dans l'emprise.
"""
import os
import tempfile
from datetime import datetime
from reportlab.lib.units import mm
from reportlab.pdfgen import canvas as rl_canvas
from io import BytesIO
from .quality import load_quality_table
lay = layout(paper, orient, scale)
cx, cy = center_l93(lat, lon)
bbox = map_bbox(cx, cy, lay)
img, _mask, cells = compose_l93(output_dir, bbox, pixel_size(lay))
if not cells:
raise NoDataError("aucune dalle du relief orienté dans cette zone")
now = now or datetime.now()
zq = zone_quality(bbox, load_quality_table(output_dir), cells)
title = (title or "").strip()[:120] or \
"Relief orienté - " + ", ".join(f"{c_}_{r_}" for c_, r_ in cells[:4]) + \
(" ..." if len(cells) > 4 else "")
buf = BytesIO()
c = rl_canvas.Canvas(buf, pagesize=(lay.page_w * mm, lay.page_h * mm),
pageCompression=1 if compress else 0)
c.setTitle(_pdf_text(title)); c.setAuthor("lidar_rendu")
# Image carte en JPEG (incorporée telle quelle : PDF léger)
fd, jpg = tempfile.mkstemp(suffix=".jpg")
os.close(fd)
try:
img.save(jpg, format="JPEG", quality=_JPEG_QUALITY, subsampling=0)
del img
c.drawImage(jpg, lay.map_x * mm, lay.map_y * mm, lay.map_w * mm, lay.map_h * mm)
finally:
os.unlink(jpg)
c.setLineWidth(0.6)
c.rect(lay.map_x * mm, lay.map_y * mm, lay.map_w * mm, lay.map_h * mm, stroke=1, fill=0)
_draw_grid(c, lay, bbox, mm)
legend_box, quality_box, cart_box = _panel_boxes(lay)
_draw_legend(c, legend_box, mm)
_draw_quality(c, quality_box, bbox, zq, mm)
_draw_cartouche(c, cart_box, lay, bbox, cx, cy, title, now, mm)
c.showPage(); c.save()
name = f"relief_{cx / 1000:.3f}_{cy / 1000:.3f}_1-{lay.scale}.pdf"
return buf.getvalue(), name

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@ -175,3 +175,69 @@ def test_zone_quality_missing_cells():
assert z["density_mean"] is None and z["acq_start"] is None
assert z["missing_quality"] == [(1054, 6882), (1055, 6882)]
assert z["missing_relief"] == [(1055, 6882)]
def _mediabox(pdf):
import re
m = re.search(rb"/MediaBox \[\s*0 0 ([\d.]+) ([\d.]+)\s*\]", pdf)
return float(m.group(1)), float(m.group(2))
def _cell_center_wgs84(col, row):
from lidar_pipeline.tiles import _transformer
lon, lat = _transformer("EPSG:2154", "EPSG:4326").transform(col * 1000 + 500, (row - 1) * 1000 + 500)
return lat, lon
def test_build_pdf_a4_landscape(tmp_path, monkeypatch):
from lidar_pipeline import index
from lidar_pipeline.export_pdf import build_pdf
from lidar_pipeline.quality import write_quality
monkeypatch.setattr(index, "PANEL_VIZ", None)
_dalle(tmp_path, 1054, 6882, px=200)
write_quality(tmp_path, "LHD_FXX_1054_6882_PTS_LAMB93_IGN69", _q(6.5))
lat, lon = _cell_center_wgs84(1054, 6882)
pdf, name = build_pdf(tmp_path, lat, lon, "A4", "paysage", 2000,
title="Prospection 🚀 bois", compress=False)
assert pdf.startswith(b"%PDF")
w, h = _mediabox(pdf)
assert abs(w - 841.89) < 0.5 and abs(h - 595.28) < 0.5
assert name.startswith("relief_1054.") and name.endswith("_1-2000.pdf")
for s in (b"Prospection ? bois", b"1:2 000", b"Densit", b"2023-03-15", b"LiDAR HD"):
assert s in pdf, s
def test_build_pdf_a3_portrait_size(tmp_path, monkeypatch):
from lidar_pipeline import index
from lidar_pipeline.export_pdf import build_pdf
monkeypatch.setattr(index, "PANEL_VIZ", None)
_dalle(tmp_path, 1054, 6882)
lat, lon = _cell_center_wgs84(1054, 6882)
pdf, _name = build_pdf(tmp_path, lat, lon, "A3", "portrait", 5000)
w, h = _mediabox(pdf)
assert abs(w - 841.89) < 0.5 and abs(h - 1190.55) < 0.5
def test_build_pdf_partial_zone_hatched(tmp_path, monkeypatch):
"""Zone à cheval sur le bord des données : planche produite, dalle absente listée."""
from lidar_pipeline import index
from lidar_pipeline.export_pdf import build_pdf
from lidar_pipeline.tiles import _transformer
monkeypatch.setattr(index, "PANEL_VIZ", None)
_dalle(tmp_path, 1054, 6882)
lon, lat = _transformer("EPSG:2154", "EPSG:4326").transform(1055000.0, 6881500.0)
pdf, _ = build_pdf(tmp_path, lat, lon, "A4", "paysage", 2000, compress=False)
assert pdf.startswith(b"%PDF") and b"1055_6882" in pdf
assert b"non renseign" in pdf
def test_build_pdf_no_data_raises(tmp_path):
import pytest
from lidar_pipeline.export_pdf import NoDataError, build_pdf
with pytest.raises(NoDataError):
build_pdf(tmp_path, 46.5, 2.5, "A4", "paysage", 2000)
def test_fmt_int():
from lidar_pipeline.export_pdf import _fmt_int
assert _fmt_int(2000) == "2 000" and _fmt_int(500) == "500"