magnum-opus-tender-hack/backend
1
0
Fork 0
mirror of https://github.com/magnum-opus-tender-hack/backend.git synced 2024-11-25 10:43:44 +03:00
Code Issues Packages Projects Releases Wiki Activity

improved search: spelling, unit characteristic lookup, type gassing

Browse Source
This commit is contained in:
Alexander Karpov 2022-10-22 10:55:10 +03:00
parent 497b930ca1
commit 8b5fddbd67
7 changed files with 119 additions and 28 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
app/conf/settings/base.py
View File

@ -214,3 +214,5 @@ REST_FRAMEWORK = {
# django-cors-headers
CORS_ALLOW_ALL_ORIGINS = True
YANDEX_DICT_API_KEY = "dict.1.1.20221022T010312Z.55cce597a6cfa505.f416aba85e7642eedc1b76b8e21c06506fb17f83"

3
app/search/models.py
View File

@ -18,13 +18,14 @@ class Characteristic(models.Model):
class UnitCharacteristic(models.Model):
name = models.TextField("Имя", blank=False)
value = models.TextField("Значение", blank=False)
numeric_value = models.IntegerField(default=0)
unit = models.TextField("Размерность", blank=False)
def __str__(self):
return str(self.name)
def serialize_self(self):
return {"name": self.name, "value": self.value, "unit": self.unit}
return {"name": self.name, "value": self.numeric_value, "unit": self.unit}
class Meta:
db_table = "unit_characteristic"

4
app/search/services/autocomplete_schema.py
View File

@ -27,8 +27,8 @@ def autocomplete_schema(val: str):
schema.extend(
[
{
"coordinate": char.name.index(val),
"value": {"type": char.name, "value": char.value},
"coordinate": char["name"].index(val),
"value": {"type": char["name"], "value": char["value"]},
}
for char in Characteristic.objects.filter(name__contains=val).values(
"name", "value"

14
app/search/services/load_products.py
View File

@ -1,3 +1,4 @@
import re
from ast import literal_eval
import pandas as pd
@ -59,3 +60,16 @@ def load_excel():
# malformed node or string: nan \ duplicate key
print("СКОРОСШИВАТЕЛЬ")
continue
def process_unit_character():
for el in UnitCharacteristic.objects.all():
nums = re.findall("[-+]?[.]?[\d]+(?:,\d\d\d)*[\.]?\d*(?:[eE][-+]?\d+)?", el.value)
if len(nums) != 1:
el.delete()
else:
try:
el.numeric_value = int(float(nums[0].replace(",", ".")))
el.save()
except ValueError:
el.delete()

103
app/search/services/search.py
View File

@ -1,32 +1,96 @@
from search.models import Product, Characteristic, ProductCharacteristic
import string
from search.models import (
Product,
Characteristic,
ProductCharacteristic,
ProductUnitCharacteristic,
UnitCharacteristic,
)
from typing import List
from search.services.hints import get_hints
from search.services.spell_check import spell_check
from search.services.translate import translate_en_ru, translate_ru_en
def process_search(data: List[dict]) -> List[dict]:
def process_unit_operation(unit: ProductUnitCharacteristic.objects, operation: str):
if operation.startswith("<=") or operation.startswith("=<"):
return unit.filter(characteristic__numeric_value__lte=int(float(operation[:2])))
elif operation.startswith("=>") or operation.startswith(">="):
return unit.filter(characteristic__numeric_value__gte=int(float(operation[:2])))
elif operation.startswith(">"):
return unit.filter(characteristic__numeric_value__gt=int(float(operation[:1])))
elif operation.startswith("<"):
return unit.filter(characteristic__numeric_value__lt=int(float(operation[:1])))
elif operation.startswith("="):
return unit.filter(characteristic__numeric_value__gt=int(float(operation[:1])))
return unit
def process_search(data: List[dict], limit=10, offset=0) -> List[dict]:
prep_data = []
prep_dict = {}
prep_dict_char_type = {}
# --------------------------------------- prepare filters -------------------------------------------------------- #
for x in data:
dat = dict(x)
if x["type"] in ["Name", "Category", "Unknown"]:
prep_data.append(dat)
if x["type"] in ["Name", "Category"]:
prep_data.append(
{
"type": dat["type"],
"value": spell_check(
dat["value"],
),
}
)
elif x["type"] == "Unknown":
type = get_hints(dat["value"])
prep_data.append(
{
"type": type,
"value": spell_check(
dat["value"],
),
}
)
else:
val = spell_check(
dat["value"],
)
if x["type"] in list(prep_dict.keys()):
prep_dict[x["type"]] = prep_dict[
x["type"]
] | ProductCharacteristic.objects.filter(
characteristic__in=prep_dict_char_type[x["type"]],
characteristic__value__unaccent__trigram_similar=x["value"],
)
if x["type"].startswith("*"):
unit = ProductUnitCharacteristic.objects.filter(
characteristic__in=prep_dict_char_type[x["type"]],
)
prep_dict[x["type"]] = prep_dict[
x["type"]
] | process_unit_operation(unit, x["value"])
else:
prep_dict[x["type"]] = prep_dict[
x["type"]
] | ProductCharacteristic.objects.filter(
characteristic__in=prep_dict_char_type[x["type"]],
characteristic__value__unaccent__trigram_similar=val,
)
else:
prep_dict_char_type[x["type"]] = Characteristic.objects.filter(
name__contains=x["type"]
)
prep_dict[x["type"]] = ProductCharacteristic.objects.filter(
characteristic__in=prep_dict_char_type[x["type"]],
characteristic__value__unaccent__trigram_similar=x["value"],
)
if x["type"].startswith("*"):
prep_dict_char_type[x["type"]] = UnitCharacteristic.objects.filter(
name__unaccent__trigram_similar=x["type"]
)
unit = ProductUnitCharacteristic.objects.filter(
characteristic__in=prep_dict_char_type[x["type"]],
)
prep_dict[x["type"]] = process_unit_operation(unit, x["value"])
else:
prep_dict_char_type[x["type"]] = Characteristic.objects.filter(
name__unaccent__trigram_similar=x["type"]
)
prep_dict[x["type"]] = ProductCharacteristic.objects.filter(
characteristic__in=prep_dict_char_type[x["type"]],
characteristic__value__unaccent__trigram_similar=val,
)
# ----------------------------------- apply filters on QuerySet -------------------------------------------------- #
for el, val in prep_dict.items():
prep_data.append({"type": el, "value": val})
qs = Product.objects.filter()
@ -38,7 +102,8 @@ def process_search(data: List[dict]) -> List[dict]:
elif typ == "Category":
qs = qs.filter(category__name__unaccent__trigram_similar=val)
elif typ == "Unknown":
# add translate
continue
else:
qs = qs.filter(characteristics__in=val)
return [x.serialize_self() for x in qs[:5]]
return [x.serialize_self() for x in qs[offset: offset + limit]]

8
app/search/services/spell_check.py
View File

@ -2,5 +2,9 @@ import requests as r
def spell_check(word: str) -> str:
res = r.get(f'https://speller.yandex.net/services/spellservice.json/checkText?text={word}')
return res.json()[0]['s'][0]
res = r.get(
f"https://speller.yandex.net/services/spellservice.json/checkText?text={word}"
)
if not res.json():
return word
return res.json()[0]["s"][0]

13
app/search/services/translate.py
View File

@ -5,9 +5,14 @@ from typing import List
def translate_ru_en(word: str) -> List[str]:
res = r.get(f"https://dictionary.yandex.net/api/v1/dicservice.json/lookup?key={YANDEX_DICT_API_KEY}&lang=ru-en&text={word}")
return [i['text'] for i in chain(*[j['tr']for j in res.json()['def']])]
res = r.get(
f"https://dictionary.yandex.net/api/v1/dicservice.json/lookup?key={YANDEX_DICT_API_KEY}&lang=ru-en&text={word}"
)
return [i["text"] for i in chain(*[j["tr"] for j in res.json()["def"]])]
def translate_en_ru(word: str) -> List[str]:
res = r.get(f"https://dictionary.yandex.net/api/v1/dicservice.json/lookup?key={YANDEX_DICT_API_KEY}&lang=en-ru&text={word}")
return [i['text'] for i in chain(*[j['tr']for j in res.json()['def']])]
res = r.get(
f"https://dictionary.yandex.net/api/v1/dicservice.json/lookup?key={YANDEX_DICT_API_KEY}&lang=en-ru&text={word}"
)
return [i["text"] for i in chain(*[j["tr"] for j in res.json()["def"]])]