Match banner brand, print splash, optional crop, and demo seed (#6)
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## Summary
- Rebrand public site, portal, and emails from Ecoprint orange to the PRINTFORGE banner palette (navy / cyan / lime).
- Replace the loading splash with a CSS 3D-print animation; product uploads get a default-on smart crop + background filter checkbox.
- Add `manage.py seed_demo` for client walkthroughs on dev/beta only (refuses prod).

Closes #5.

## Test plan
- [ ] Public pages and buttons are cyan/lime, not orange
- [ ] Splash shows a printer building a model (or a static print if reduced motion)
- [ ] Product edit: smart-crop checked by default; uncheck stores the original photo
- [ ] `uv run python manage.py seed_demo` fills shop, contacts, leads, orders, campaigns
- [ ] `DJANGO_ENV=prod` seed_demo exits with an error

Reviewed-on: #6
This commit was merged in pull request #6.
This commit is contained in:
2026-09-07 04:06:52 -07:00
parent 04e75ec7a3
commit 23a6035ba8
19 changed files with 34722 additions and 65 deletions
+11 -5
View File
@@ -418,7 +418,7 @@ def normalize_hex(value: str) -> str:
return raw.lower()
def store_product_image(*, upload, user) -> StoredFile:
def store_product_image(*, upload, user, smart_crop: bool = True) -> StoredFile:
content_type = (getattr(upload, "content_type", None) or "").lower()
if content_type not in _ALLOWED_IMAGE_TYPES:
raise ShopError("Use a JPEG, PNG, GIF, or WebP image.")
@@ -427,15 +427,18 @@ def store_product_image(*, upload, user) -> StoredFile:
raise ShopError("Image must be 15 MB or smaller.")
original = (getattr(upload, "name", None) or "product")[:255]
try:
from shop.imaging import prepare_product_photo, product_image_filename
from shop.imaging import open_image, prepare_product_photo, product_image_filename
except ImportError as exc:
logger.exception("product photo processing dependencies missing")
raise ShopError(
"Image processing is not installed. Rebuild the app container."
) from exc
try:
data, content_type = prepare_product_photo(data)
original = product_image_filename(original)
if smart_crop:
data, content_type = prepare_product_photo(data)
original = product_image_filename(original)
else:
open_image(data)
except ShopError:
raise
except Exception as exc:
@@ -569,12 +572,15 @@ def append_product_images(
uploads,
user,
color: ProductColor | None = None,
smart_crop: bool = True,
) -> None:
existing = product.images.filter(color=color).count()
for offset, upload in enumerate(uploads):
if not upload:
continue
stored = store_product_image(upload=upload, user=user)
stored = store_product_image(
upload=upload, user=user, smart_crop=smart_crop
)
ProductImage.objects.create(
product=product,
color=color,