mongodol
Access MongoDB through a Mapping (dict-like) interface.
mongodol wraps pymongo collections as Mapping/MutableMapping objects (readers and
persisters), so you can read and write mongo data with normal dict-like syntax, and
compose your own key/value transforms with dol wrappers
instead of writing backend-specific boilerplate.
To install:
pip install mongodol
And of course, you need a running MongoDB -- see the installation instructions.
For AI agents
mongodol publishes its documentation in forms made for coding agents. If you are one, start here.
The documentation, machine-readable: llms.txt indexes every page; mongodol.md is the whole documentation in one file; every page has a .md twin; objects.inv maps symbols to URLs.
If you are a control freak, the rest of this README is written for you, starting at Quick start.
Quick start
from mongodol import MongoCollectionPersister, mk_dflt_mgc
# mk_dflt_mgc() gives you a pymongo collection to play with (mongodol/mongodol_test by default)
mgc = mk_dflt_mgc()
mgc.delete_many(
{}
) # start from an empty collection (skip this to keep what's already there)
s = MongoCollectionPersister(mgc, getitem_projection={"_id": False})
len(s)
# 0
k = {"_id": "my_id"}
s[k] = {"mongo": "uses", "json": "data"}
list(s)
# [{'_id': 'my_id'}]
Since the base reader is a thin, low-level wrapper, s[k] returns a pymongo.cursor.Cursor
(a key may match zero, one, or many docs), so you fetch the value(s) explicitly:
next(s[k])
# {'mongo': 'uses', 'json': 'data'}
del s[k]
len(s)
# 0
Beyond the base classes
The base MongoCollectionReader/MongoCollectionPersister classes always return cursors
and never validate uniqueness. For the common case of "one key maps to one doc", use one
of the *UniqueDoc*/*FirstDoc* reader and persister classes instead:
from mongodol import MongoCollectionUniqueDocReader
MongoCollectionUniqueDocReader gives you s[k] as a plain dict (not a cursor), and
raises KeyNotUniqueError if more than one doc matches k. See its docstring for a
runnable example.
For custom key/value shapes, business logic, or connecting mongodol stores to the rest
of the dol ecosystem (caching, serialization,
key transforms, etc.), wrap a mongodol store with dol.wrap_kvs like you would any
other dol store.
More
See the package documentation and the flat
mongodol.md aggregate for the full API.
Release files for mongodol 0.1.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mongodol-0.1.8.tar.gz | 59.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mongodol-0.1.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 124.9 kB
Release files / mongodol-0.1.8.tar.gz
| Download URL | mongodol-0.1.8.tar.gz |
|---|---|
| Size | 59.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / mongodol-0.1.8-py3-none-any.whl
| Download URL | mongodol-0.1.8-py3-none-any.whl |
|---|---|
| Size | 65.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
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|