Package: query-collections
A set of classes that makes managing JSON objects easier within Python (and more?)Why?When wanting to access an index of a JSON object (or a Python
dictionary/map), we need to use [‘member’] syntax. This is ok for simple
JSON objects, but let’s say you had a complex object andyou wanted a
deeply nested element, such as:dict_instance['member'][0]['items'][0]['id']This is where query collections come in. Right now the supported
structures are maps (python dictionaries) and lists. Here is how we can
access the members in each:Given a k:v map:{
    "population": {
        "faculty": [
            {
                "id": "103902",
                "name": "Cory",
                "field": "CS"
            },
            {
                "id": "6789",
                "name": "Ted",
            },
            {
                "id": "67874",
                "name": "Mike",
                "field": "CS"
            }
        ],
        "count": 3,
        "access_codes": [
            1, 2, 3
        ]
    }
}This specific instance would be rather difficult to obtain information
from, and would require a lot of generators and other unnecessary bloat
to achieve a task as simple as “if there are any users who are faculty,
return those with a ‘field’ specifiedHere is the naive solution with regular builtin Python functionality:json_obj = ...
if json_obj.get('population').get('faculty') is not None:
    matches = [f_member for f_member in json_obj['population']['faculty'] if 'field' in f_member]
    return matches
return None_Here is how we can perform the same operation with a query_dict:json_obj = query_dict(...)
matches = json_obj.query("population:faculty:*:field!")In this example,*denotes “any member of the list faculty”, and!means ‘return true if field exist`. The wildcard operator, by
default, returns any member who returns a value.SyntaxThe syntax for queries is very easy to understand! To access a nested
member of a parent, simply do: parent:child. This can be chained over
any amount of nesting. Of course this is in itself useful, but with the
addition of operators, the use case is much, much more clear!Acceptable operators: -*: Wildcard operator. Returns the list of
elements at the given index. -!: Exists operator. Returns true if
the member exists.Combination of rules is also acceptable: - The wildcard by default stops
error reporting and returns all matching elements following itself in
the query string. For example: .query(”*:id!”) returns all members of
the first level where id exists. We can also perform queries by using the
index operators and prefixing a question mark.FilteringAs of release 0.0.1.2a8, we can now filter lists to search for children
that meet certain filters. This is a simple implementation,
but should meet demands for this use case. Storing values inside a string
was not an idea I supported (i.e., performing “eq=13”), and as such,
filters are added an extension to the query method. You can either pass a
single filter, or multiple (as an array), and filters can be accesed within
the query string with the ‘$’ operator, which follows this syntax: member$filterIndex.
If you only have one filter, there is no need to do member$0, you can simply do: member$
Example:For a problem, we need to filter a list of students to find students with a GPA > 3.0.
It is simply done as:results = students.query("*:GPA$", filters.greaterEqual(3.0))
# returns list of students with GPA > 3.0Multiple queries (to find list of students where GPA > 3.0 and attendance > 90.0:results = students.query("*:GPA$0:*:ATTENDANCE_PCT$1",
    filters.greaterEqual(3.0),  # filter at index '$0'
    filters.greaterEqual(90.0)  # filter at index '$1'
)
    # returns list of students with GPA > 3.0 and attendance > 90.0StreamsAs of release 0.0.1a3, the Stream class is now in beta. This is a copy of the
Java 8 Stream API and nearly all functionality exists. You can create your own
stream from your own type easily, and query_dict and query_list contain a method
to create the stream.results = Stream.of(1,2,3,4,5,6,7,8,9,10)
results.filter(lambda x: x > 5)\
        .peek(lambda x: print(x))

OUT:
    6
    7
    8
    9
    10Examples:You may find a list of query examples in the /test directory. This
includes all current combinations of operators and basic error checking.query_dict and query_listCurrently this is all implemented through classes that inherit the dict
and list class. The only additional functionality of these classes are
dot access of dictionary members and a ‘length’/’len’ property of lists.query_dictMembers of the dictionary can be accessed from the dot operator:>>> obj = query_dict({_
        "name": "Cory",
        "stats": {
            "coolness": "over9000"
        }
    })
>>> obj.name
"Cory"
>>> obj.stats.coolness
"over9000"query len/length>>> mlist = query_list([1,2,3])
>>> mlist.len
3
>>> mlist.length
3Roadmap:Equality operator for basic comparisonsEquality comparatorLicenseQuery Collections

The MIT License (MIT)

Copyright (c) 2016 Cory Forward

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of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
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copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.