backend/app/search/services/autocomplete_schema.py
2022-10-22 19:55:05 +03:00

61 lines
2.0 KiB
Python

from typing import List, Dict
from search.models import Product, Category, Characteristic, UnitCharacteristic
def autocomplete_schema(val: str, exclude: List[Dict]):
exclude = [dict(x) for x in exclude]
name_exclude = [x["value"] for x in exclude if x["type"] == "Name"]
category_exclude = [x["value"] for x in exclude if x["type"] == "Category"]
schema = []
if not name_exclude:
schema.extend(
[
{
"coordinate": product["name"].lower().index(val.lower()),
"value": {
"type": "Name",
"value": product["name"],
},
}
for product in Product.objects.filter(name__unaccent__icontains=val)[
:20
].values("name")
]
)
if not category_exclude:
schema.extend(
[
{
"coordinate": cat["name"].lower().index(val.lower()),
"value": {"type": "Category", "value": cat["name"]},
}
for cat in Category.objects.filter(name__unaccent__icontains=val)[
:20
].values("name")
]
)
schema.extend(
[
{
"coordinate": char["value"].lower().index(val.lower()),
"value": {"type": char["name"], "value": char["value"]},
}
for char in Characteristic.objects.filter(value__unaccent__icontains=val)[
:20
].values("name", "value")
]
)
schema.extend(
[
{
"coordinate": char["value"].lower().index(val.lower()),
"value": {
"type": char["name"] + "_numeric",
"value": char["value"]
}
} for char in UnitCharacteristic.objects.filter(value__unaccent__icontains=val)[:20].values("name", "value")
]
)
return schema