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import math
import tempfile
from pathlib import Path
from typing import Any, Iterable
from PIL import Image, ImageDraw, ImageFont
from .models import EvidenceItem, SiteSelection
INK = "#111817"
INK_2 = "#33423f"
MUTED = "#687572"
PAPER = "#f6f1e7"
PANEL = "#ffffff"
LINE = "#c8d0cc"
CHARCOAL = "#0f1c1b"
TEAL = "#006b62"
TEAL_LIGHT = "#d9efeb"
OCHRE = "#d9972b"
CLAY = "#b55a3d"
def create_board_artifacts(
*,
project_name: str,
site_name: str,
project_type: str,
boundary_source: str,
culture_notes: str,
selection: SiteSelection,
climate: dict[str, Any],
osm_context: dict[str, Any],
sun_summary: dict[str, str],
site_identity: dict[str, Any] | None,
evidence_rows: Iterable[EvidenceItem],
diagram_paths: list[str],
warnings: list[str],
topography: dict[str, Any] | None = None,
soil: dict[str, Any] | None = None,
) -> dict[str, str]:
out_dir = Path(tempfile.mkdtemp(prefix="sis_board_"))
png_path = out_dir / "site-intelligence-presentation-board.png"
pdf_path = out_dir / "site-intelligence-presentation-board.pdf"
image = Image.new("RGB", (2400, 1350), PAPER)
draw = ImageDraw.Draw(image)
fonts = _fonts()
evidence = list(evidence_rows)
_draw_title_band(
draw,
fonts,
project_name=project_name,
site_name=site_name,
project_type=project_type,
selection=selection,
site_identity=site_identity,
)
_draw_meta_strip(draw, fonts, selection, boundary_source, evidence)
context_path = _path_at(diagram_paths, 3) or _path_at(diagram_paths, 2)
climate_path = _path_at(diagram_paths, 0)
sun_path = _path_at(diagram_paths, 1)
_panel(draw, (60, 382, 920, 1158), "01 Geographic context", fonts)
_paste_image(image, context_path, (92, 472, 888, 890))
_draw_wrapped_text(
draw,
_context_caption(osm_context, selection),
(92, 922, 888, 1108),
fonts["body"],
INK_2,
line_spacing=8,
)
_panel(draw, (965, 382, 1575, 748), "02 Climate read", fonts)
_paste_image(image, climate_path, (995, 445, 1545, 652))
_draw_wrapped_text(
draw,
_climate_caption(climate),
(995, 666, 1545, 724),
fonts["small"],
INK_2,
line_spacing=5,
)
_panel(draw, (1605, 382, 2340, 748), "03 Sun and wind orientation", fonts)
_paste_image(image, sun_path, (1635, 445, 1915, 700))
_draw_wrapped_text(
draw,
_sun_caption(sun_summary),
(1945, 452, 2312, 700),
fonts["body"],
INK_2,
line_spacing=8,
)
_panel(draw, (965, 778, 1575, 1158), "04 Terrain, ground and Earth checks", fonts)
_draw_bullets(
draw,
_design_cues(selection, osm_context, culture_notes, topography, soil),
(995, 850, 1545, 1112),
fonts["body"],
INK_2,
)
_panel(draw, (1605, 778, 2340, 1158), "05 Site visit verification", fonts)
_draw_bullets(
draw,
_verification_items(evidence, warnings),
(1635, 850, 2312, 1112),
fonts["body"],
INK_2,
)
_draw_footer(draw, fonts, evidence, warnings)
image.save(png_path, quality=95)
image.save(pdf_path, "PDF", resolution=160.0)
return {"png": str(png_path), "pdf": str(pdf_path)}
def _draw_title_band(
draw: ImageDraw.ImageDraw,
fonts: dict[str, ImageFont.ImageFont],
*,
project_name: str,
site_name: str,
project_type: str,
selection: SiteSelection,
site_identity: dict[str, Any] | None,
) -> None:
draw.rectangle((0, 0, 2400, 210), fill=CHARCOAL)
draw.rectangle((0, 205, 2400, 218), fill=OCHRE)
draw.text((60, 42), "SITE INTELLIGENCE BOARD", font=fonts["kicker"], fill="#8fd5cd")
title = site_name or project_name or "Untitled site"
draw.text((60, 78), _clip(title, 48), font=fonts["title"], fill="#ffffff")
subtitle = project_name if site_name and project_name else "Preliminary architecture site-analysis assistant"
if project_type:
subtitle = f"{subtitle} / {project_type}"
draw.text((64, 160), _clip(subtitle, 110), font=fonts["subtitle"], fill="#dce5e2")
identity = _site_identity(site_identity)
coord = _coordinate_label(selection)
right_lines = [
("Location", identity),
("Anchor", coord),
("Mode", selection.selection_type.replace("_", " ")),
]
x = 1685
y = 42
for label, value in right_lines:
draw.text((x, y), label.upper(), font=fonts["micro_bold"], fill="#8fd5cd")
draw.text((x + 150, y - 3), _clip(value, 42), font=fonts["meta"], fill="#ffffff")
y += 48
def _draw_meta_strip(
draw: ImageDraw.ImageDraw,
fonts: dict[str, ImageFont.ImageFont],
selection: SiteSelection,
boundary_source: str,
evidence_rows: list[EvidenceItem],
) -> None:
cards = [
("Area", _fmt(selection.area_sqm, "sqm"), "approximate" if selection.selection_type != "dxf_boundary" else "from selected CAD candidate"),
("Perimeter", _fmt(selection.perimeter_m, "m"), selection.unit_source or "computed geometry"),
("Accuracy", selection.accuracy_label, "verify with CAD/KML/GeoJSON or survey"),
("Evidence", f"{len(evidence_rows)} rows", "source, confidence, limitation tracked"),
]
if boundary_source:
cards[-1] = ("Boundary source", _clip(boundary_source, 38), "user-provided")
x = 60
y = 238
width = 545
for label, value, note in cards:
draw.rounded_rectangle((x, y, x + width, y + 110), radius=8, fill=PANEL, outline=LINE, width=2)
draw.text((x + 24, y + 18), label.upper(), font=fonts["micro_bold"], fill=TEAL)
draw.text((x + 24, y + 42), _clip(value, 34), font=fonts["card_value"], fill=INK)
draw.text((x + 24, y + 82), _clip(note, 56), font=fonts["micro"], fill=MUTED)
x += width + 28
def _panel(draw: ImageDraw.ImageDraw, box: tuple[int, int, int, int], title: str, fonts: dict[str, ImageFont.ImageFont]) -> None:
x1, y1, x2, y2 = box
draw.rounded_rectangle(box, radius=10, fill=PANEL, outline=LINE, width=2)
draw.rectangle((x1, y1, x2, y1 + 54), fill="#eef4f2")
draw.rectangle((x1, y1, x1 + 12, y1 + 54), fill=TEAL)
draw.text((x1 + 28, y1 + 15), title, font=fonts["panel"], fill=INK)
def _paste_image(image: Image.Image, path: str | None, box: tuple[int, int, int, int]) -> None:
x1, y1, x2, y2 = box
ImageDraw.Draw(image).rounded_rectangle(box, radius=4, fill="#f8f8f5", outline="#d8dedb", width=1)
if not path or not Path(path).exists():
draw = ImageDraw.Draw(image)
draw.text((x1 + 24, y1 + 24), "Diagram unavailable", fill=MUTED, font=_fonts()["body"])
return
with Image.open(path) as source:
source = source.convert("RGB")
source.thumbnail((x2 - x1 - 10, y2 - y1 - 10), Image.Resampling.LANCZOS)
px = x1 + (x2 - x1 - source.width) // 2
py = y1 + (y2 - y1 - source.height) // 2
image.paste(source, (px, py))
def _draw_footer(
draw: ImageDraw.ImageDraw,
fonts: dict[str, ImageFont.ImageFont],
evidence_rows: list[EvidenceItem],
warnings: list[str],
) -> None:
draw.rectangle((0, 1178, 2400, 1350), fill=CHARCOAL)
draw.text((60, 1216), "Scope and source notes", font=fonts["panel"], fill="#ffffff")
source_names = []
for item in evidence_rows:
if item.source_name and item.source_name not in source_names:
source_names.append(item.source_name)
source_text = "Sources: " + (", ".join(source_names[:8]) if source_names else "user input and deterministic calculations")
note = (
"Preliminary site-analysis assistant. Verify on site. Public map and climate data may be coarse or incomplete. "
"Soil, foundation, legal boundary, and final design decisions require professional verification."
)
if warnings:
note += " Warnings: " + " ".join(warnings[:2])
_draw_wrapped_text(draw, source_text, (60, 1260, 1040, 1320), fonts["small"], "#cbd6d4", line_spacing=5)
_draw_wrapped_text(draw, note, (1110, 1218, 2320, 1320), fonts["small"], "#cbd6d4", line_spacing=5)
def _draw_bullets(
draw: ImageDraw.ImageDraw,
bullets: list[str],
box: tuple[int, int, int, int],
font: ImageFont.ImageFont,
fill: str,
) -> None:
x1, y1, x2, y2 = box
y = y1
for item in bullets[:7]:
if y > y2 - 78:
break
draw.ellipse((x1, y + 9, x1 + 9, y + 18), fill=OCHRE)
y = _draw_wrapped_text(draw, item, (x1 + 24, y, x2, y2), font, fill, line_spacing=7, max_lines=2) + 10
def _draw_wrapped_text(
draw: ImageDraw.ImageDraw,
text: str,
box: tuple[int, int, int, int],
font: ImageFont.ImageFont,
fill: str,
*,
line_spacing: int = 6,
max_lines: int | None = None,
) -> int:
x1, y1, x2, y2 = box
words = str(text).replace("\n", " ").split()
lines: list[str] = []
line = ""
for word in words:
test = f"{line} {word}".strip()
if draw.textbbox((0, 0), test, font=font)[2] <= x2 - x1:
line = test
else:
if line:
lines.append(line)
line = word
if line:
lines.append(line)
if max_lines is not None and len(lines) > max_lines:
lines = lines[:max_lines]
lines[-1] = _ellipsize_to_width(draw, lines[-1], font, x2 - x1)
y = y1
line_height = draw.textbbox((0, 0), "Ag", font=font)[3] + line_spacing
for line in lines:
if y + line_height > y2:
break
draw.text((x1, y), line, font=font, fill=fill)
y += line_height
return y
def _fonts() -> dict[str, ImageFont.ImageFont]:
def load(size: int, bold: bool = False) -> ImageFont.ImageFont:
names = (
["segoeuib.ttf", "arialbd.ttf", "DejaVuSans-Bold.ttf"] if bold else ["segoeui.ttf", "arial.ttf", "DejaVuSans.ttf"]
)
for name in names:
try:
return ImageFont.truetype(name, size)
except OSError:
continue
return ImageFont.load_default()
return {
"title": load(60, True),
"subtitle": load(26),
"kicker": load(20, True),
"panel": load(26, True),
"body": load(25),
"small": load(20),
"micro": load(17),
"micro_bold": load(17, True),
"meta": load(24, True),
"card_value": load(30, True),
}
def _path_at(paths: list[str], index: int) -> str | None:
return paths[index] if len(paths) > index else None
def _fmt(value: float | None, suffix: str) -> str:
if value is None:
return "not available"
if suffix == "sqm" and value >= 10_000:
return f"{value:,.0f} sqm / {value / 10_000:,.2f} ha"
return f"{value:,.0f} {suffix}"
def _coordinate_label(selection: SiteSelection) -> str:
if selection.anchor_lat is not None and selection.anchor_lon is not None:
return f"{selection.anchor_lat:.5f}, {selection.anchor_lon:.5f}"
return "not georeferenced"
def _site_identity(site_identity: dict[str, Any] | None) -> str:
if not site_identity:
return "address unavailable"
for key in ("city", "town", "village", "district", "state", "country"):
if site_identity.get(key):
return str(site_identity[key])
if site_identity.get("display_name"):
return str(site_identity["display_name"]).split(",")[0]
return "address unavailable"
def _climate_caption(climate: dict[str, Any]) -> str:
current = climate.get("forecast") or {}
normal = climate.get("climate_normal") or climate.get("recent_historical") or {}
temp = current.get("current_temperature_c", "n/a")
humidity = current.get("current_humidity_pct", "n/a")
wind = current.get("current_wind_speed_kmh", "n/a")
rain = normal.get("total_precipitation_mm", "n/a")
if temp == "n/a" and humidity == "n/a" and wind == "n/a" and rain == "n/a":
return "Climate unavailable. Verify separately before design claims."
return (
f"Forecast/current: {temp} C, {humidity}% humidity, {wind} km/h wind. "
f"Climate-normal style annual precipitation: {rain} mm. Use as design context, not on-site measurement."
)
def _context_caption(osm_context: dict[str, Any], selection: SiteSelection) -> str:
counts = osm_context.get("counts") or {}
summary = ", ".join(f"{key}: {value}" for key, value in list(counts.items())[:5])
if not summary:
summary = "OSM context is sparse or unavailable for this selection."
accuracy = selection.accuracy_label.replace("_", " ")
return f"{summary}. Boundary mode: {selection.selection_type.replace('_', ' ')}. Accuracy: {accuracy}. Verify roads, water edges, vegetation, and access on site."
def _sun_caption(sun_summary: dict[str, str]) -> str:
orientation = sun_summary.get("orientation_note", "")
if "southern" in orientation.lower():
orientation = "Sun cue: generally southern sky at this latitude."
elif orientation:
orientation = "Sun cue: use latitude-based solar orientation."
else:
orientation = "Sun cue unavailable; verify with sun-path study."
wind = sun_summary.get("wind_note", "")
if wind:
wind = wind.replace("Available climate data suggests dominant wind around", "Wind cue:")
wind = wind.replace("Treat this as regional context and verify on site.", "Verify on site.")
wind = _clip(wind, 62)
else:
wind = "Wind: regional/modelled cue only; verify comfort and ventilation on site."
return (
f"{orientation} West/east edges need glare and heat checks. "
f"{wind} No shadow sim."
)
def _design_cues(
selection: SiteSelection,
osm_context: dict[str, Any],
culture_notes: str,
topography: dict[str, Any] | None,
soil: dict[str, Any] | None,
) -> list[str]:
counts = osm_context.get("counts") or {}
cues = [
"Use the report's Google Earth/Maps links as visual references only; confirm visible trees, water, roads, and structures on site.",
"Treat west and afternoon exposure as a shading and glare item to test in massing.",
"Use mapped roads and access only as a first-pass circulation clue; verify road width and entry points.",
"Check drainage, waterlogging, runoff, and low points during the site visit.",
"Keep soil and foundation language as professional-verification prompts, not recommendations.",
]
terrain_cue = _terrain_cue(topography)
if terrain_cue:
cues.insert(0, terrain_cue)
soil_cue = _soil_cue(soil)
if soil_cue:
cues.insert(1, soil_cue)
if counts.get("natural/water") or counts.get("water"):
cues.insert(1, "Mapped water context should trigger edge, flood, drainage, humidity, and view checks.")
if counts.get("leisure/green") or counts.get("natural/wood"):
cues.insert(1, "Mapped green or vegetation context should trigger shade, ecology, and tree-retention checks.")
if selection.selection_type == "pin_radius":
cues.insert(0, "Pin-radius output is neighborhood context; add an exact boundary before using plot-level conclusions.")
if culture_notes:
cues.append("User culture/local-activity notes should be verified through observation or local interviews.")
return cues
def _terrain_cue(topography: dict[str, Any] | None) -> str | None:
if not topography:
return "Terrain data unavailable; use CAD contours, site levels, and drainage observation."
relief = topography.get("relief_m")
slope = topography.get("approx_slope_pct")
if relief is None and slope is None:
return "Public terrain sampling is incomplete; verify slope and drainage manually."
return f"Terrain: relief {relief} m, sampled slope {slope}%; verify contours and drainage."
def _soil_cue(soil: dict[str, Any] | None) -> str | None:
if not soil:
return "Soil data unavailable; request geotechnical/professional ground information."
texture = soil.get("texture_signal", "soil texture signal")
return f"SoilGrids: {texture}; professional ground verification only."
def _verification_items(evidence_rows: list[EvidenceItem], warnings: list[str]) -> list[str]:
items = [
"Confirm actual plot edges with CAD, KML, GeoJSON, faculty drawing, or site survey.",
"Photograph all edges, corners, access points, road conditions, and adjacent building heights.",
"Record trees, shade, water bodies, utilities, noise, dust, traffic, and local activity peaks.",
"Verify drainage and waterlogging with site observation, especially after rain.",
"Request soil/geotechnical information before any foundation decision.",
]
for row in evidence_rows:
verify = row.verification_needed.strip()
if verify and verify not in items:
items.append(verify)
if len(items) >= 7:
break
for warning in warnings:
if len(items) >= 7:
break
items.append(warning)
return items
def _clip(text: object, limit: int) -> str:
value = "" if text is None else str(text)
return value if len(value) <= limit else value[: max(0, limit - 3)].rstrip() + "..."
def _ellipsize_to_width(draw: ImageDraw.ImageDraw, text: str, font: ImageFont.ImageFont, width: int) -> str:
ellipsis = "..."
value = text.rstrip()
if draw.textbbox((0, 0), value, font=font)[2] <= width:
return value
while value and draw.textbbox((0, 0), value + ellipsis, font=font)[2] > width:
value = value[:-1].rstrip()
return (value or text[:1]) + ellipsis
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