# Spearfish: renders framed exactly like the user's two screenshots of 2026-10-20 (the fits in canopy_user_2026-10-20.json),
# and a look from each seat's eye. Exec'd in Blender. ENGINE may be set before exec ('BLENDER_WORKBENCH' default).
# Writes previews/user_views/r_side.png, r_front.png, seat_L.png, seat_R.png; build/compare_user_drawing.py lays the user's
# red lines over the first two.
import bpy, math, os, json
from mathutils import Vector, Matrix
HERE = r"D:\HADAL - The Descent\models\tender-spearfish\build"
OUTD = os.path.join(os.path.dirname(HERE), "previews", "user_views")
os.makedirs(OUTD, exist_ok=True)
CU = json.load(open(os.path.join(HERE, "canopy_user_2026-10-20.json")))
eng = globals().get("ENGINE", "BLENDER_WORKBENCH")
sc = bpy.context.scene
sc.render.engine = eng
if eng == 'BLENDER_WORKBENCH':
    sh = sc.display.shading
    sh.light = 'STUDIO'; sh.color_type = 'MATERIAL'; sh.show_object_outline = True; sh.show_cavity = True
sc.render.film_transparent = False
sc.render.image_settings.file_format = 'PNG'; sc.render.image_settings.color_mode = 'RGB'
cam = bpy.data.objects.get("_uv_cam")
if cam is None:
    cam = bpy.data.objects.new("_uv_cam", bpy.data.cameras.new("_uv_cam"))
    pc = bpy.data.collections.get("_preview") or sc.collection
    pc.objects.link(cam)
prev = sc.camera
sc.camera = cam
done = []
def shoot(name, w, h, loc, right, up, fwd, ortho=None, lens=None):
    R, U, F = Vector(right), Vector(up), Vector(fwd)
    m = Matrix((R, U, -F)).transposed().to_4x4()
    m.translation = loc
    cam.matrix_world = m
    sc.render.resolution_x, sc.render.resolution_y, sc.render.resolution_percentage = w, h, 100
    if ortho:
        cam.data.type = 'ORTHO'; cam.data.ortho_scale = ortho
    else:
        cam.data.type = 'PERSP'; cam.data.lens = lens; cam.data.sensor_fit = 'HORIZONTAL'; cam.data.sensor_width = 36
    cam.data.clip_start = 0.02; cam.data.clip_end = 100
    sc.render.filepath = os.path.join(OUTD, name + ".png")
    bpy.ops.render.render(write_still=True)
    done.append(sc.render.filepath)
for o in bpy.data.objects:
    if o.name.startswith("UCX_"):
        o.hide_render = True
# the side screenshot: Right Orthographic, 2000 x 728, u = a*y + bu, v = -a*z + bv (seen from +X)
f = CU["side_fit"]; a, bu, bv = f["a_px_per_m"], f["bu"], f["bv"]
W, H = 2000, 728
yc, zc = (W / 2 - bu) / a, (bv - H / 2) / a
shoot("r_side", W, H, Vector((20.0, yc, zc)), (0, 1, 0), (0, 0, 1), (-1, 0, 0), ortho=W / a)
# the front screenshot: Front Orthographic, 1684 x 890, u = a*x + bu, v = -a*z + bv (seen from -Y)
f = CU["front_fit"]; a, bu, bv = f["a_px_per_m"], f["bu"], f["bv"]
W, H = 1684, 890
xc, zc = (W / 2 - bu) / a, (bv - H / 2) / a
shoot("r_front", W, H, Vector((xc, -20.0, zc)), (1, 0, 0), (0, 0, 1), (0, 1, 0), ortho=W / a)
# each seat's eye, looking straight ahead (an 18 mm lens: about a 90 deg wide view)
for nm, tag in (("SOCKET_Seat_L_Eye", "seat_L"), ("SOCKET_Seat_R_Eye", "seat_R")):
    eye = bpy.data.objects[nm].matrix_world.translation.copy()
    shoot(tag, 1600, 900, eye, (-1, 0, 0), (0, 0, 1), (0, -1, 0), lens=18)
sc.camera = prev
result = done