Kinto python client
###################
.. image:: https://github.com/Kinto/kinto-http.py/actions/workflows/test.yml/badge.svg
:target: https://github.com/Kinto/kinto-http.py/actions
.. image:: https://img.shields.io/pypi/v/kinto-http.svg
:target: https://pypi.python.org/pypi/kinto-http
kinto-http is the Python library to interact with a Kinto server.
There is also a similar client in JavaScript <https://github.com/kinto/kinto-http.js>
_.
Installation
Use pip::
$ pip install kinto-http
Usage
Here is an overview of what the API provides:
.. code-block:: python
import kinto_http
client = kinto_http.Client(server_url="http://localhost:8888/v1",
auth=('alexis', 'p4ssw0rd'))
records = client.get_records(bucket='default', collection='todos')
for i, record in enumerate(records):
record['title'] = 'Todo {}'.format(i)
client.update_record(data=record)
Instantiating a client
The passed auth
parameter is a requests <http://docs.python-requests.org>
_
authentication policy.
By default, a simple tuple will become a Basic Auth
authorization request header, that can authenticate users with Kinto Accounts <https://kinto.readthedocs.io/en/stable/api/1.x/accounts.html>
_.
.. code-block:: python
import kinto_http
auth = ('alexis', 'p4ssw0rd')
client = kinto_http.Client(server_url='http://localhost:8888/v1',
auth=auth)
It is also possible to pass a bucket
ID and/or collection
ID to set them as default values for the parameters of the client operations.
.. code-block:: python
client = Client(bucket="payments", collection="receipts", auth=auth)
After creating a client, you can also replicate an existing one and overwrite
some key arguments.
.. code-block:: python
client2 = client.clone(collection="orders")
An asynchronous client is also available. It has all the same endpoints as the sync client except for the batch operations.
.. code-block:: python
from kinto_http import AsyncClient
auth = ('alexis', 'p4ssw0rd')
client = AsyncClient(server_url='http://localhost:8888/v1', auth=auth)
info = await client.server_info()
assert 'schema' in info['capabilities'], "Server doesn't support schema validation."
Using a Bearer access token to authenticate (OpenID)
.. code-block:: python
import kinto_http
client = kinto_http.Client(auth=kinto_http.BearerTokenAuth("XYPJTNsFKV2"))
The authorization header is prefixed with Bearer
by default. If the header_type
is customized on the server <https://kinto.readthedocs.io/en/stable/configuration/settings.html#openid-connect>
_,
the client must specify the expected type: kinto_http.BearerTokenAuth("XYPJTNsFKV2", type="Bearer+OIDC")
.. note::
Passing a string containing ``Bearer`` will be instantiate a ``kinto_http.BearerTokenAuth()`` object automatically.
In other words, ``kinto_http.Client(auth="Bearer+OIDC XYPJTNsFKV2")`` is equivalent to ``kinto_http.Client(auth=kinto_http.BearerTokenAuth("XYPJTNsFKV2", type="Bearer+OIDC"))``
Custom headers can be specified in the Client constructor, and will be sent in every request:
.. code-block:: python
import kinto_http
client = kinto_http.Client(server_url="http://server/v1", headers={
"Allow-Access": "CDN",
"User-Agent": "blocklist-updater"
})
Getting server information
You can use the server_info()
method to fetch the server information:
.. code-block:: python
from kinto_http import Client
client = Client(server_url='http://localhost:8888/v1')
info = client.server_info()
assert 'schema' in info['capabilities'], "Server doesn't support schema validation."
Bucket operations
get_bucket(id=None, **kwargs)
: retrieve single bucketget_buckets(**kwargs)
: retrieve all readable bucketscreate_bucket(id=None, data=None, **kwargs)
: create a bucketupdate_bucket(id=None, data=None, **kwargs)
: create or replace an existing bucketpatch_bucket(id=None, changes=None, **kwargs)
: modify some fields in an existing bucketdelete_bucket(id=None, **kwargs)
: delete a bucket and everything under itdelete_buckets(**kwargs)
: delete every writable buckets
Groups operations
get_group(id=None, bucket=None, **kwargs)
: retrieve single groupget_groups(bucket=None, **kwargs)
: retrieve all readable groupscreate_group(id=None, data=None, bucket=None, **kwargs)
: create a groupupdate_group(id=None, data=None, bucket=None, **kwargs)
: create or replace an existing grouppatch_group(id=None, changes=None, bucket=None, **kwargs)
: modify some fields in an existing groupdelete_group(id=None, bucket=None, **kwargs)
: delete a group and everything under itdelete_groups(bucket=None, **kwargs)
: delete every writable groups
Collections
get_collection(id=None, bucket=None, **kwargs)
: retrieve single collectionget_collections(bucket=None, **kwargs)
: retrieve all readable collectionscreate_collection(id=None, data=None, bucket=None, **kwargs)
: create a collectionupdate_collection(id=None, data=None, bucket=None, **kwargs)
: create or replace an existing collectionpatch_collection(id=None, changes=None, bucket=None, **kwargs)
: modify some fields in an existing collectiondelete_collection(id=None, bucket=None, **kwargs)
: delete a collection and everything under itdelete_collections(bucket=None, **kwargs)
: delete every writable collections
Records
get_record(id=None, bucket=None, collection=None, **kwargs)
: retrieve single recordget_records(bucket=None, collection=None, **kwargs)
: retrieve all readable recordsget_paginated_records(bucket=None, collection=None, **kwargs)
: paginated list of recordsget_records_timestamp(bucket=None, collection=None, **kwargs)
: return the records timestamp of this collectioncreate_record(id=None, data=None, bucket=None, collection=None, **kwargs)
: create a recordupdate_record(id=None, data=None, bucket=None, collection=None, **kwargs)
: create or replace an existing recordpatch_record(id=None, changes=None, bucket=None, collection=None, **kwargs)
: modify some fields in an existing recorddelete_record(id=None, bucket=None, collection=None, **kwargs)
: delete a record and everything under itdelete_records(bucket=None, collection=None, **kwargs)
: delete every writable records
Permissions
The objects permissions can be specified or modified by passing a permissions
to create_*()
, patch_*()
, or update_*()
methods:
.. code-block:: python
client.create_record(data={'foo': 'bar'},
permissions={'read': ['group:groupid']})
record = client.get_record('123', collection='todos', bucket='alexis')
record['permissions']['write'].append('leplatrem')
client.update_record(data=record)
Get or create
In some cases, you might want to create a bucket, collection, group or record only if
it doesn't exist already. To do so, you can pass the if_not_exists=True
to the create_*()
methods::
client.create_bucket(id='blog', if_not_exists=True)
client.create_collection(id='articles', bucket='blog', if_not_exists=True)
Delete if exists
In some cases, you might want to delete a bucket, collection, group or record only if
it exists already. To do so, you can pass the if_exists=True
to the delete_*
methods::
client.delete_bucket(id='bucket', if_exists=True)
Patch operations
The .patch_*()
operations receive a changes
parameter.
.. code-block:: python
from kinto_http.patch_type import BasicPatch, MergePatch, JSONPatch
client.patch_record(id='abc', changes=BasicPatch({'over': 'write'}))
client.patch_record(id='todo', changes=MergePatch({'assignee': 'bob'}))
client.patch_record(id='receipts', changes=JSONPatch([
{'op': 'add', 'path': '/data/members/0', 'value': 'ldap:user@corp.com'}
]))
Concurrency control
The create_*()
, patch_*()
, and update_*()
methods take a safe
argument (default: True
).
If True
, the client will ensure that the object doesn't exist already for creations, or wasn't modified on the server side since we fetched it. The timestamp will be implicitly read from the last_modified
field in the passed data
object, or taken explicitly from the if_match
parameter.
Batching operations
Rather than issuing a request for each and every operation, it is possible to
batch several operations in one request (sync client only).
Using the batch()
method as a Python context manager (with
):
.. code-block:: python
with client.batch() as batch:
for idx in range(0, 100):
batch.update_record(data={'id': idx})
.. note::
Besides the ``results()`` method, a batch object shares all the same methods as
another client.
Reading data from batch operations is achieved by using the results()
method
available after a batch context is closed.
.. code-block:: python
with client.batch() as batch:
batch.get_record('r1')
batch.get_record('r2')
batch.get_record('r3')
r1, r2, r3 = batch.results()
Errors
Failing operations will raise a KintoException
, which has request
and response
attributes.
.. code-block:: python
try:
client.create_group(id="friends")
except kinto_http.KintoException as e:
if e.response and e.response.status_code == 403:
print("Not allowed!")
Requests Timeout
A timeout
value in seconds can be specified in the client constructor:
.. code-block:: python
client = KintoClient(server_url="...", timeout=5)
To distinguish the connect from the read timeout, use a tuple:
.. code-block:: python
client = KintoClient(server_url="...", timeout=(3.05, 27))
For an infinit timeout, use None
:
.. code-block:: python
client = KintoClient(server_url="...", timeout=None)
See the timeout documentation <https://2.python-requests.org//en/master/user/advanced/#timeouts>
_ of the underlying requests
library.
Retry on error
When the server is throttled (under heavy load or maintenance) it can
return error responses.
The client can hence retry to send the same request until it succeeds.
To enable this, specify the number of retries on the client:
.. code-block:: python
client = Client(server_url='http://localhost:8888/v1',
auth=credentials,
retry=10)
The Kinto protocol lets the server define the duration in seconds between retries <https://kinto.readthedocs.io/en/latest/api/1.x/backoff.html>
_.
It is possible (but not recommended) to force this value in the clients:
.. code-block:: python
client = Client(server_url='http://localhost:8888/v1',
auth=credentials,
retry=10,
retry_after=5)
When the server responses are paginated, the client will download every page and
merge them transparently.
The get_paginated_records()
method returns a generator that will yield each page:
.. code-block:: python
for page in client.get_paginated_records():
records = page["data"]
It is possible to specify a limit for the number of items to be retrieved in one page:
.. code-block:: python
records = client.get_records(_limit=10)
In order to retrieve every available pages with a limited number of items in each
of them, you can specify the number of pages:
.. code-block:: python
records = client.get_records(_limit=10, pages=float('inf')) # Infinity
History
If the built-in history plugin <https://kinto.readthedocs.io/en/latest/api/1.x/history.html>
_ is enabled, it is possible to retrieve the history of changes:
.. code-block:: python
# Get the complete history of a bucket
changes = client.get_history(bucket='default')
# and optionally use filters
hist = client.get_history(bucket='default', _limit=2, _sort='-last_modified', _since='1533762576015')
hist = client.get_history(bucket='default', resource_name='collection')
The history of a bucket can also be purged with:
.. code-block:: python
client.purge_history(bucket='default')
Endpoint URLs
The get_endpoint()
method returns an endpoint URL on the server:
.. code-block:: python
client = Client(server_url='http://localhost:8888/v1',
auth=('token', 'your-token'),
bucket="payments",
collection="receipts")
print(client.get_endpoint("record",
id="c6894b2c-1856-11e6-9415-3c970ede22b0"))
# '/buckets/payments/collections/receipts/records/c6894b2c-1856-11e6-9415-3c970ede22b0'
Handling datetime and date objects
In addition to the data types supported by JSON, kinto-http.py also
supports native Python date and datetime objects.
In case a payload contain a date or a datetime object, kinto-http.py
will encode it as an ISO formatted string.
Please note that this transformation is only one-way. While reading a
record, if a string contains a ISO formated string, kinto-http.py will
not convert it to a native Python date or datetime object.
If you know that a field will be a datetime, you might consider
encoding it yourself to be more explicit about it being a string for
Kinto.
Command-line scripts
In order to have common arguments and options for scripts, some utilities are provided
to ease configuration and initialization of client from command-line arguments.
.. code-block:: python
import argparse
import logging
from kinto_http import cli_utils
logger = logging.getLogger(name)
if name == "main":
parser = argparse.ArgumentParser(description="Download records")
cli_utils.set_parser_server_options(parser)
args = parser.parse_args()
cli_utils.setup_logger(logger, args)
logger.debug("Instantiate Kinto client.")
client = cli_utils.create_client_from_args(args)
logger.info("Fetch records.")
records = client.get_records()
logger.warn("{} records.".format(len(records)))
The script now accepts basic options:
::
$ python example.py --help
usage: example.py [-h] [-s SERVER] [-a AUTH] [-b BUCKET] [-c COLLECTION] [-v]
[-q] [-D]
Download records
optional arguments:
-h, --help show this help message and exit
-s SERVER, --server SERVER
The location of the remote server (with prefix)
-a AUTH, --auth AUTH BasicAuth credentials: token:my-secret
or
Authorization header: Bearer token
-b BUCKET, --bucket BUCKET
Bucket name.
-c COLLECTION, --collection COLLECTION
Collection name.
--retry RETRY Number of retries when a request fails
--retry-after RETRY_AFTER
Delay in seconds between retries when requests fail
(default: provided by server)
-v, --verbose Show all messages.
-q, --quiet Show only critical errors.
-D, --debug Show all messages, including debug messages.
Development
See contributing docs <./.github/CONTRIBUTING.md>
_