Files
HartOMat/backend/app/domains/materials/service.py
T
Hartmut b583b0d7a2 feat: per-position camera settings, material alias dialog, product delete, media browser links
- Per-render-position focal_length_mm/sensor_width_mm (DB → pipeline → Blender)
- FOV-based camera distance with min clamp fix for wide-angle lenses
- Unmapped materials blocking dialog on "Dispatch Renders" with batch alias creation
- Material check endpoint (GET /orders/{id}/check-materials)
- Batch alias endpoint (POST /materials/batch-aliases)
- Quick-map "No alias" badges on Materials page
- Full product hard-delete with storage cleanup (MinIO + disk files + orphaned CadFile)
- Delete button on ProductDetail page with confirmation
- Clickable product names in Media Browser (links to product page)
- Single-line render dispatch/retry (POST /orders/{id}/lines/{id}/dispatch-render)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-14 12:16:37 +01:00

205 lines
6.6 KiB
Python

"""Material alias resolution service.
Used from Celery tasks (sync context) to resolve raw material names
(from Excel / user input) to SCHAEFFLER library material names via aliases.
Resolution chain:
1. Alias lookup (case-insensitive) → use alias.material.name
2. Exact Material.name match (case-insensitive) → use it
3. Pass through unchanged → Blender will show FailedMaterial magenta
"""
import logging
from difflib import SequenceMatcher
from sqlalchemy import create_engine, select, func
from sqlalchemy.orm import Session, selectinload
from sqlalchemy.ext.asyncio import AsyncSession
from app.domains.materials.models import Material, MaterialAlias
logger = logging.getLogger(__name__)
_engine = None
def _get_engine():
global _engine
if _engine is None:
from app.config import settings as app_settings
_engine = create_engine(app_settings.database_url_sync)
return _engine
def resolve_material_map(raw_map: dict[str, str]) -> dict[str, str]:
"""Resolve raw material names to SCHAEFFLER library names via aliases.
For each value in raw_map:
1. Alias lookup (case-insensitive) → return alias.material.name
2. Exact Material.name match (case-insensitive) → use canonical name
3. Pass through unchanged
Returns a new dict with the same keys but resolved material names.
"""
if not raw_map:
return raw_map
engine = _get_engine()
with Session(engine) as session:
# Load all materials
materials = session.execute(
select(Material).options(selectinload(Material.aliases))
).scalars().all()
# Build lookup dicts (case-insensitive)
# material name (lower) → canonical Material.name
name_lookup: dict[str, str] = {}
# alias (lower) → Material.name
alias_lookup: dict[str, str] = {}
for mat in materials:
name_lookup[mat.name.lower()] = mat.name
for a in mat.aliases:
alias_lookup[a.alias.lower()] = mat.name
resolved = {}
for part_name, raw_material in raw_map.items():
raw_lower = raw_material.lower()
# 1. Alias lookup first — aliases explicitly map intermediate/display names
# to the canonical SCHAEFFLER library names
if raw_lower in alias_lookup:
target = alias_lookup[raw_lower]
logger.info("resolved '%s''%s' (alias match)", raw_material, target)
resolved[part_name] = target
continue
# 2. Exact material name match (canonical name used as-is)
if raw_lower in name_lookup:
canonical = name_lookup[raw_lower]
if canonical != raw_material:
logger.info("resolved '%s''%s' (exact name match)", raw_material, canonical)
resolved[part_name] = canonical
continue
# 3. Pass through unchanged
logger.warning("no material match for '%s' — will use FailedMaterial fallback", raw_material)
resolved[part_name] = raw_material
return resolved
async def seed_material_aliases_from_mappings(
db: AsyncSession, mappings: list[dict]
) -> dict:
"""Seed material aliases from Excel materialmapping sheet.
For each {display_name, render_name}:
- Find or create Material by render_name
- Add display_name as alias if not already present
Returns {"created": N, "skipped": N}.
"""
created = 0
skipped = 0
for mapping in mappings:
display_name = mapping.get("display_name", "").strip()
render_name = mapping.get("render_name", "").strip()
if not display_name or not render_name:
skipped += 1
continue
# Find or create Material by render_name
result = await db.execute(
select(Material).where(func.lower(Material.name) == render_name.lower())
)
material = result.scalar_one_or_none()
if material is None:
material = Material(name=render_name, source="excel_mapping")
db.add(material)
await db.flush()
# Check if alias already exists
alias_result = await db.execute(
select(MaterialAlias).where(
func.lower(MaterialAlias.alias) == display_name.lower()
)
)
existing_alias = alias_result.scalar_one_or_none()
if existing_alias:
skipped += 1
continue
# Create alias
alias = MaterialAlias(material_id=material.id, alias=display_name)
db.add(alias)
created += 1
if created > 0:
await db.flush()
return {"created": created, "skipped": skipped}
async def find_unmapped_materials(
material_names: list[str], db: AsyncSession
) -> list[dict]:
"""Find material names that have no alias or library match.
Returns a list of {"raw_name": str, "suggestions": [...]} for each
unmapped name. Suggestions are the top 5 SCHAEFFLER library materials
by string similarity.
"""
if not material_names:
return []
# Load all aliases (case-insensitive lookup)
alias_rows = (await db.execute(select(MaterialAlias))).scalars().all()
alias_set: set[str] = {a.alias.lower() for a in alias_rows}
# Load all materials
mat_rows = (await db.execute(select(Material))).scalars().all()
# Library materials have a schaeffler_code
library_mats = [m for m in mat_rows if m.schaeffler_code is not None]
# All material names (case-insensitive) for exact-match check
name_lookup: dict[str, Material] = {m.name.lower(): m for m in mat_rows}
unmapped: list[dict] = []
seen: set[str] = set()
for raw_name in material_names:
raw_lower = raw_name.lower()
if raw_lower in seen:
continue
seen.add(raw_lower)
# 1. Alias match → mapped
if raw_lower in alias_set:
continue
# 2. Exact name match with a library material → mapped
matched_mat = name_lookup.get(raw_lower)
if matched_mat and matched_mat.schaeffler_code is not None:
continue
# Unmapped — compute suggestions from library materials
scored = []
for lib_mat in library_mats:
ratio = SequenceMatcher(None, raw_lower, lib_mat.name.lower()).ratio()
if ratio > 0.3:
scored.append((ratio, lib_mat))
scored.sort(key=lambda x: x[0], reverse=True)
suggestions = [
{
"id": str(m.id),
"name": m.name,
"schaeffler_code": str(m.schaeffler_code),
}
for _, m in scored[:5]
]
unmapped.append({"raw_name": raw_name, "suggestions": suggestions})
return unmapped