指定JSON中的函数操作
项目描述
json-operations
在JSON中指定复杂条件操作。条件操作可以安全地对JSON值(Python字典)执行并返回布尔值。
from json_operations import execute
operations = [">", ["key", "items"], 30]
data1 = {
"items": 31
}
data2 = {
"items": 29
}
execute(operations, data1) # -> True
execute(operations, data2) # -> False
安全性
所有操作都是安全的(不使用eval)。如果是从不受信任的源获取输入,则强制执行长度限制是个好主意。
API
execute
对数据字典运行json操作。返回True/False。如果操作无效或键不存在,则可以引发JsonOperationError
from json_operations import execute
execute(<operations>, <data_dictionary>) -> bool
get_json_schema
返回json操作的JSON Schema。在运行操作之前验证操作很有用
from json_operations import get_json_schema
get_json_schema() -> Dict
get_keys
返回json操作内的键。这对于获取json操作所需的键列表以及验证所有键是否在数据字典内很有用
from json_operations import get_keys
get_keys(<operations>) -> List[Dict]
# [{"name": "key1", "type": "number", "index": 0}, ...]
运算符
== (等于运算符)
检查一个值是否等于另一个值。
语法
["==", <operator_or_literal>, <operator_or_literal>]
示例
from json_operations import execute
operations = ["==", ["key", "items"], 30]
data1 = {
"items": 30
}
data2 = {
"items": 31
}
execute(operations, data1) # -> True
execute(operations, data2) # -> False
!= (不等于运算符)
检查一个值是否不等于另一个值。
语法
["!=", <operator_or_literal>, <operator_or_literal>]
示例
from json_operations import execute
operations = ["!=", ["key", "items"], 30]
data1 = {
"items": 30
}
data2 = {
"items": 31
}
execute(operations, data1) # -> False
execute(operations, data2) # -> True
> (大于运算符)
检查一个值是否大于另一个值。
语法
[">", <operator_or_literal>, <operator_or_literal>]
示例
from json_operations import execute
operations = [">", ["key", "items"], 30]
data1 = {
"items": 31
}
data2 = {
"items": 29
}
execute(operations, data1) # -> True
execute(operations, data2) # -> False
>= (大于等于运算符)
检查一个值是否大于或等于另一个值。
语法
[">=", <operator_or_literal>, <operator_or_literal>]
示例
from json_operations import execute
operations = [">=", ["key", "items"], 30]
data1 = {
"items": 30
}
data2 = {
"items": 29
}
execute(operations, data1) # -> True
execute(operations, data2) # -> False
< (小于运算符)
检查一个值是否小于另一个值。
语法
["<", <operator_or_literal>, <operator_or_literal>]
示例
from json_operations import execute
operations = ["<", ["key", "items"], 30]
data1 = {
"items": 31
}
data2 = {
"items": 29
}
execute(operations, data1) # -> False
execute(operations, data2) # -> True
<= (小于等于运算符)
检查一个值是否小于或等于另一个值。
语法
["<=", <operator_or_literal>, <operator_or_literal>]
示例
from json_operations import execute
operations = ["<=", ["key", "items"], 30]
data1 = {
"items": 31
}
data2 = {
"items": 30
}
execute(operations, data1) # -> False
execute(operations, data2) # -> True
in (在运算符)
检查一个值是否包含在另一个值中。
语法
["in", <operator_or_literal>, <operator_or_literal>]
示例
from json_operations import execute
operations = ["in", "my_type", ["key", "types"]]
data1 = {
"types": [
"type1", "type2"
]
}
data2 = {
"types": [
"my_type", "type1"
]
}
execute(operations, data1) # -> False
execute(operations, data2) # -> True
!in (不在运算符)
检查一个值是否不包含在另一个值中。
语法
["!in", <operator_or_literal>, <operator_or_literal>]
示例
from json_operations import execute
operations = ["!in", "my_type", ["key", "types"]]
data1 = {
"types": [
"type1", "type2"
]
}
data2 = {
"types": [
"my_type", "type1"
]
}
execute(operations, data1) # -> True
execute(operations, data2) # -> False
btw (介于运算符)
检查一个值是否介于两个值之间。等价于
low <= val <= high
低值和高值都包含。
语法
["btw", <value_operator_or_literal>, [<low_operator_or_literal>, <high_operator_or_literal>]]
示例
from json_operations import execute
operations = ["btw", ["key", "val"], [1, 3]]
data1 = {
"val": 2
}
data2 = {
"val" : 4
}
execute(operations, data1) # -> True
execute(operations, data2) # -> False
& (交集运算符)
检查两个数组是否有任何共同成员
语法
["&", <value_operator_or_literal>, <value_operator_or_literal>]
示例
from json_operations import execute
operations = ["&", ["key", "val"], [1, 2]]
data1 = {
"val": [2,3]
}
data2 = {
"val" : [3,4]
}
execute(operations, data1) # -> True
execute(operations, data2) # -> False
!& (非交集运算符)
检查两个数组是否有共同成员
语法
["!&", <value_operator_or_literal>, <value_operator_or_literal>]
示例
from json_operations import execute
operations = ["!&", ["key", "val"], [1, 2]]
data1 = {
"val": [2,3]
}
data2 = {
"val" : [3,4]
}
execute(operations, data1) # -> False
execute(operations, data2) # -> True
并且(并且运算符)
检查所有值是否为真。 and
支持在其内部嵌套其他操作(参见复杂示例)。
语法
["and", ...<operators_or_literals>]
示例
from json_operations import execute
operations = ["and", ["key", "a"], ["key", "b"]]
data1 = {
"a": True,
"b": False,
}
data2 = {
"a": True,
"b": True,
}
execute(operations, data1) # -> False
execute(operations, data2) # -> True
或(或运算符)
检查是否有任何值为真。 or
支持在其内部嵌套其他操作(参见复杂示例)。
语法
["or", ...<operators_or_literals>]
示例
from json_operations import execute
operations = ["or", ["key", "a"], ["key", "b"]]
data1 = {
"a": False,
"b": False,
}
data2 = {
"a": False,
"b": True,
}
execute(operations, data1) # -> False
execute(operations, data2) # -> True
复杂运算符示例
from json_operations import execute
# (a > 1 or b < 5) and (c == 0 or d != 10) and (val in e or f >= 0)
operations = ["and",
["or", [">", ["key", "a"], 1], ["<", ["key", "b"], 5]],
["or", ["==", ["key", "c"], 0], ["!=", ["key", "d"], 10]],
["or", ["in", "val", ["key", "e"]], [">=", ["key", "f"], 0]],
]
data1 = {
"a": 0,
"b": 5,
"c": 0,
"d": 9,
"e": ["val", "another_val"],
"f": 0,
}
data2 = {
"a": 0,
"b": 4,
"c": 0,
"d": 9,
"e": ["val", "another_val"],
"f": -1,
}
# (0 > 1 or 5 < 5) and (0 == 0 or 9 != 10) and (val in ["val", "another_val"] or 0 >= 0)
execute(operations, data1) # -> False
# (0 > 1 or 4 < 5) and (0 == 0 or 9 != 10) and (val in ["val", "another_val"] or -1 >= 0)
execute(operations, data2) # -> True
与 json-logic 的区别
- 操作始终类型安全(不能比较不同类型的值)。json-logic 会自动转换不同类型的值并进行比较,这可能导致难以发现的错误。
- 无效的操作会导致错误,而不是被忽略。json-logic 尝试避免所有错误,并继续处理意外的输入,这可能导致问题。
- 更紧凑且直观的语法
["or", ["key", "a"], ["key", "b"]]
与
{"or": [{"var": ["a"]}, {"var": ["b"]}]}
- 仅支持布尔逻辑。json-logic 支持所有类型的操作(加法、减法等),而不仅仅是布尔逻辑。
项目详情
关闭
json-operations-2.6.0.tar.gz 的哈希值
算法 | 哈希摘要 | |
---|---|---|
SHA256 | 6878923d213591437dae83707c464c9933d96ddab0185b2b192113d4b784f983 |
|
MD5 | 7aff062468175973d67c71fe92609da9 |
|
BLAKE2b-256 | c96a3a4def95c34c748ea1b5293c9c20cd7d96b2d8ea98f543aad80095e19982 |
关闭
json_operations-2.6.0-py3-none-any.whl 的哈希值
算法 | 哈希摘要 | |
---|---|---|
SHA256 | 993c277154b0f1924c5857d71fbeddc2eb6e92be0eb8bd8796b2a9fd220ad4f4 |
|
MD5 | 4701e142669fedeb18ed2b2abded97ca |
|
BLAKE2b-256 | b84e0ee6397db05313a14b67886f1e2509b5768598afe9580258709c7d078acc |