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A utility library that provides a MongoDB-like query language for querying python collections. It's mainly intended to parse objects structured as fundamental types in a similar fashion to what is produced by JSON or YAML parsers.
.. image:: https://github.com/reuben/mongoquery/actions/workflows/test.yml/badge.svg
A utility library that provides a MongoDB <http://www.mongodb.org>
_-like query
language for querying python collections. It's mainly intended to parse objects
structured as fundamental types in a similar fashion to what is produced by JSON
or YAML
parsers. It follows the specification of queries for MongoDB version 3.4.
Example:
.. code-block:: python
from mongoquery import Query, QueryError
records = [
{"a": 5, "b": 5, "c": None},
{"a": 3, "b": None, "c": 8},
{"a": None, "b": 3, "c": 9},
{"a": 1, "b": 2, "c": 3},
{"a": 2, "c": 5},
{"a": 3, "b": 2},
{"a": 4},
{"b": 2, "c": 4},
{"b": 2},
{"c": 6}
]
a_is_3 = Query({"a": 3})
# match a single object
matched = a_is_3.match(records[1])
assert matched
matched = a_is_3.match(records[0])
assert not matched
# filter elements
filtered = filter(
a_is_3.match,
records
)
assert filtered == [records[1], records[5]]
# incorrect filters raise QueryError
try:
matched = query({"$foo": 2}).match(records[1])
except QueryError:
pass # => "$foo" operator isn't supported
The syntax of queries matches closely the one of
MongoDB queries <http://docs.mongodb.org/manual/tutorial/query-documents/>
_,
and translates it to python using the following rules:
operators and field identifiers are expressed as strings. For instance, the following MongoDB query:
.. code-block:: javascript
{ memos: { $elemMatch: { memo: 'on time', by: 'billing' } } }
Translates straightforwardly to the following Python dict:
.. code-block:: python
{ "memos": { "$elemMatch": { "memo": 'on time', "by": 'billing' } } }
regular expressions are expected to be expressed as string containing the MongoDB regular expression syntax. For instance:
.. code-block:: javascript
{description: {$regex: /^S/m}}
Translates to the following Python dict:
.. code-block:: python
{"description": {"$regex": "/^S/m"}}
the boolean, null syntax used in MongoDB follows the JavaScript syntax. It is expected the python equivalents are used. For instance:
.. code-block:: javascript
{a: {$exists: true}, b: null}
Translates to the following Python dict:
.. code-block:: python
{"a": {"$exists": True}, "b": None}
There are a few features that are not supported by mongoquery
:
- Only the "/pattern/<options>"
syntax is supported for $regex
. As
a consequence, $options
isn't supported. Alternatively you can
compile a regex using re.compile
and supply options as parameters, and pass
the re.Pattern
object as the value of $regex
.
- $text
hasn't been implemented.
- Due to the pure python nature of this library, $where
isn't supported.
- The Geospatial
operators $geoIntersects
, $geoWithin
,
$nearSphere
, and $near
are not implemented.
- Projection operators `$,
$elemMatch,
$meta, and
$sliceare not implemented (only querying is implemented) -
$type`` is limited to recognising generic python types, it won't look
into recognising the format of the data (for instance, it doesn't check
Object ID's format, only that they are strings)
FAQs
A utility library that provides a MongoDB-like query language for querying python collections. It's mainly intended to parse objects structured as fundamental types in a similar fashion to what is produced by JSON or YAML parsers.
We found that mongo-query-match demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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