在 JSON 中快速搜索
[英]Quick search in a JSON
问题描述
I have this JSON:
我有这个 JSON：
{
"statussalida": "",
"registros": [
{
"marca": 24,
"codigo": 6,
"precio": 71.9,
"precionormal": 71.9,
"descripcion": "FERNET IMPERIO",
"presentacion": "950 CC.",
"pesable": 0,
"pesableporunidad": 0,
"nombremarca": "COMERCIAL ARGENTINA SRL",
"marcareal": 0,
"cantidad": 950,
"coeficiente": 1000,
"preciopor": 75.68,
"unidaddmedida": "cc",
"cantidadmayorista": 0,
"preciomayorista": 71.9,
"etiquetamedida": "Precio x 1000 cc",
"foto": "/api/v1/imagenes/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NDAyNzE1MDAsInBhZHJlIjoyODU3MzgyLCJpbnN0YW5jaWEiOjB9.0IBNNbEZXE4dKmyHxQ_oP-8HXMfEm80fI4kBCJSFaZY",
"usafoto": 0
},
{
"marca": 60,
"codigo": 888,
"precio": 274.99,
"precionormal": 274.99,
"descripcion": "ACEITE COCINERO DE OLIVA PET.",
"presentacion": "1 LT",
"pesable": 0,
"pesableporunidad": 0,
"nombremarca": "MOLINOS RIO DE LA PLATA S.A.",
"marcareal": 0,
"cantidad": 1,
"coeficiente": 1,
"preciopor": 274.99,
"unidaddmedida": "Litros",
"cantidadmayorista": 0,
"preciomayorista": 274.99,
"etiquetamedida": "Precio x 1 Litro",
"foto": "/api/v1/imagenes/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NDAyNzE1MDAsInBhZHJlIjoyODU3MzgyLCJpbnN0YW5jaWEiOjB9.0IBNNbEZXE4dKmyHxQ_oP-8HXMfEm80fI4kBCJSFaZY",
"usafoto": 0
},
{
"marca": 60,
"codigo": 2368,
"precio": 82.99,
"precionormal": 82.99,
"descripcion": "ACEITE COCINERO",
"presentacion": "1,5 LT.",
"pesable": 0,
"pesableporunidad": 0,
"nombremarca": "MOLINOS RIO DE LA PLATA S.A.",
"marcareal": 0,
"cantidad": 1500,
"coeficiente": 1000,
"preciopor": 55.33,
"unidaddmedida": "cc",
"cantidadmayorista": 0,
"preciomayorista": 82.99,
"etiquetamedida": "Precio x 1000 cc",
"foto": "/api/v1/imagenes/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NDAyNzE1MDAsInBhZHJlIjoyODU3MzgyLCJpbnN0YW5jaWEiOjB9.0IBNNbEZXE4dKmyHxQ_oP-8HXMfEm80fI4kBCJSFaZY",
"usafoto": 0
},
{
"marca": 60,
"codigo": 2502,
"precio": 73.49,
"precionormal": 73.49,
"descripcion": "*ACEITE COCINERO MEZCLA",
"presentacion": "1500 CC.",
"pesable": 0,
"pesableporunidad": 0,
"nombremarca": "MOLINOS RIO DE LA PLATA S.A.",
"marcareal": 0,
"cantidad": 1500,
"coeficiente": 1000,
"preciopor": 48.99,
"unidaddmedida": "cc",
"cantidadmayorista": 0,
"preciomayorista": 73.49,
"etiquetamedida": "Precio x 1000 cc",
"foto": "/api/v1/imagenes/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NDAyNzE1MDAsInBhZHJlIjoyODU3MzgyLCJpbnN0YW5jaWEiOjMyNzM3fQ.HCyWPsopIAY03WZYRJ7tySUpCOE8Pq_1Ja-IFFLc0RY",
"usafoto": 0
},
{
"marca": 60,
"codigo": 6318,
"precio": 27.99,
"precionormal": 27.99,
"descripcion": "*HARINA FAVORITA 000",
"presentacion": "1KG.",
"pesable": 0,
"pesableporunidad": 0,
"nombremarca": "MOLINOS RIO DE LA PLATA S.A.",
"marcareal": 0,
"cantidad": 1,
"coeficiente": 1,
"preciopor": 27.99,
"unidaddmedida": "Kg",
"cantidadmayorista": 0,
"preciomayorista": 27.99,
"etiquetamedida": "Precio x 1 Kg",
"foto": "/api/v1/imagenes/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NDAyNzE1MDAsInBhZHJlIjoyODU3MzgyLCJpbnN0YW5jaWEiOjB9.0IBNNbEZXE4dKmyHxQ_oP-8HXMfEm80fI4kBCJSFaZY",
"usafoto": 0
},
{
"marca": 60,
"codigo": 20636,
"precio": 167.9,
"precionormal": 167.9,
"descripcion": "ACEITE COCINERO",
"presentacion": "3000 CC",
"pesable": 0,
"pesableporunidad": 0,
"nombremarca": "MOLINOS RIO DE LA PLATA S.A.",
"marcareal": 0,
"cantidad": 3000,
"coeficiente": 1000,
"preciopor": 55.97,
"unidaddmedida": "cc",
"cantidadmayorista": 0,
"preciomayorista": 167.9,
"etiquetamedida": "Precio x 1000 cc",
"foto": "/api/v1/imagenes/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NDAyNzE1MDAsInBhZHJlIjoyODU3MzgyLCJpbnN0YW5jaWEiOjM3MjkwfQ.ie1dLHrL3EKFYIflt0JYzI_UQzHYsmoUc_CtA2cWYd4",
"usafoto": 0
},
{
"marca": 60,
"codigo": 21821,
"precio": 136.99,
"precionormal": 136.99,
"descripcion": "*ACEITE COCINERO OLIVA EX VIRGEN",
"presentacion": "500 CC",
"pesable": 0,
"pesableporunidad": 0,
"nombremarca": "MOLINOS RIO DE LA PLATA S.A.",
"marcareal": 0,
"cantidad": 500,
"coeficiente": 1000,
"preciopor": 273.98,
"unidaddmedida": "cc",
"cantidadmayorista": 0,
"preciomayorista": 136.99,
"etiquetamedida": "Precio x 1000 cc",
"foto": "/api/v1/imagenes/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NDAyNzE1MDAsInBhZHJlIjoyODU3MzgyLCJpbnN0YW5jaWEiOjM5Njc5fQ.nAMCSgGSWfcEM9D_pSFjTHQccBHrx90oSFuEl410WiM",
"usafoto": 0
},
{
"marca": 60,
"codigo": 22840,
"precio": 38.9,
"precionormal": 38.9,
"descripcion": "*ACEITE IDEAL MEZCLA",
"presentacion": "1500 CC",
"pesable": 0,
"pesableporunidad": 0,
"nombremarca": "MOLINOS RIO DE LA PLATA S.A.",
"marcareal": 0,
"cantidad": 1500,
"coeficiente": 1000,
"preciopor": 25.93,
"unidaddmedida": "cc",
"cantidadmayorista": 0,
"preciomayorista": 38.9,
"etiquetamedida": "Precio x 1000 cc",
"foto": "/api/v1/imagenes/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NDAyNzE1MDAsInBhZHJlIjoyODU3MzgyLCJpbnN0YW5jaWEiOjI2MDEyfQ.q44kAmHfbI3y_7KyuxUot-ALnYXWAxZy8QmjMg7w5gY",
"usafoto": 0
}
]
}
But that is repeated for 32.000 articles.但这在 32.000 篇文章中重复出现。
They know if there is a function that given an input example: 'Ace' return all articles in json format that contain those letters, how to do with SQL searches.他们知道是否有 function 给出输入示例： 'Ace'返回 json 格式的所有文章，其中包含这些字母，如何处理 SQL 搜索。
I tried jmespath, jsonpath-ng, ijson and some more, but I can't do what I need.我尝试了 jmespath、jsonpath-ng、ijson 等等，但我不能做我需要的。
The question is why I consume that json from an api and that json I have to return to an ecommerce when they want to search for an article and it should be as fast as possible.问题是为什么我从 api 消费 json 和 json 当他们想要搜索文章时我必须返回电子商务，它应该尽可能快。
json = requests.get('http://xxx.xxx.x.xx/api/v1/articulosweb')
a = jmespath.search("descripcion == 'Fer'", json.content)
and here I would like you to return all the articles that contain 'fer' in their description.在这里，我希望您退回所有描述中包含'fer'的文章。
1 个解决方案
解决方案1
0 2021-12-23 20:42:29
This looks like a job for jq (json-query), which has a standalone package https://stedolan.github.io/jq/ and Python bindings https://pypi.org/project/jq/ This looks like a job for jq (json-query), which has a standalone package https://stedolan.github.io/jq/ and Python bindings https://pypi.org/project/jq/
It is also not hard to do this with pure-python.用纯python做到这一点也不难。 The following code gives examples of both:以下代码给出了两者的示例：
import jq
import json
# Grab the text of the json
with open('test.json', 'r') as file:
json_text = file.read()
# Convert json text to a dictionary
data = json.loads(json_text)
# Create a JQ query
query = jq.compile('.registros[] | select(.descripcion | ascii_downcase | test(".*fer.*"))')
# Execute the JQ Query
found = query.input(data).all()
# Or, just using basic python
found2 = []
for item in data['registros']:
if 'fer' in item['descripcion'].lower():
found2.append(item)
assert found == found2
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