cerberus | Lightweight , extensible data validation library for Python | Validation library
kandi X-RAY | cerberus Summary
kandi X-RAY | cerberus Summary
Lightweight, extensible data validation library for Python
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Top functions reviewed by kandi - BETA
- Create a validator factory
- Validate the schema
- Update the schema with the given schema
- Validate a schema
- Validate a value with a given value
- Resolve rules_set
- Handle an error message
- Emit a ValidationError
- Adds an error message
- Ensure that value is empty
- Validate that value is forbidden
- Add definitions to the registry
- Validate that value contains expected values
- Validate a regular expression
- Return whether or not to allow unknown options
- Check that the given value has the given dependencies
- Validate keysrules
- Validate values rules rules
- Validate a value
- Validates that a collection of items is valid
- Validate a single rule
- Validate a data type
- Validate a collection of items rules
- Validate that field is not required
- Validate a nullable value
- Validate dependencies
cerberus Key Features
cerberus Examples and Code Snippets
Lines of Code : 15License : Permissive (Apache-2.0)
CopyLOG_DIR=/var/log/cerberus
LOG_OUT=${LOG_DIR}/stdout.log
LOG_ERR=${LOG_DIR}/stderr.log
# configure the jvm by using export JVM_BEHAVIOR_ARGS
. /path/to/some/file/that/does/advanced/jvm/config/
APP_SPECIFIC_JVM_ARGS="\
-Dspring.profiles.active=prod \ aws secretsmanager create-secret --name ${ENV}-cms-ssl-cert --secret-binary fileb://path/to/your/ssl/cert.pfx
aws secretsmanager update-secret --secret-id arn:aws:secretsmanager:us-west-2:111111:secret:${ENV}-cms-ssl-cert-xxxxx --secret-binary fileb from cerberus import Validator
from datetime import datetime
v = Validator()
to_date = lambda s: datetime.strptime(s, '%d/%m/%Y') # date-formatting
schema = {
"birthdate": {
"type": "datetime",
"required": True,
text_schema = """
server:
type: dict
required: True
schema:
host:
required: True
type: string
api:
type: dict
required: True
default: {}
schema:
enabled:
type: boolean
[ValidationError @ 0x1fe369bcbe0 ( document_path=('sort',),schema_path=('sort', 'schema'),code=0x82,constraint={'type': 'dict', 'schema': {'property': {'type': 'string', 'required': True, 'allowed': ['test']}, 'direction': {'type': 'stringv = cerberus.Validator()
document = {"rand_value": {"key1": "val1", "key2": "val2"},
"another_rand_value": {"key1": "val1", "key2": "val2"}}
fieldrule = {"type": "dict", "keysrules": {"type": "string"}} # etc
v.validate(docu$ mv requirements.txt requirements.in
$ docker run -it thatcontainerimage /var/app/bin/pip freeze -l > requirements.txt
def cleanName(field, value, error):
if 'my name is' in value:
error(field, 'error message')
nameType = StringVar()
nameType.set("Medieval")
medievalCheck = tk.Radiobutton(frame, text= "Medieval", font=("Comic Sans MS", 12),variable= nameType, value="Medieval" )
medievalCheck.place(relx= 0.20, rely= 0.160)
greekmythCheck = tk.RaCommunity Discussions
Trending Discussions on cerberus
QUESTION
I'm developing a native library for iOS which is ment to be used for Single Sign On. I need to share credentials with a backend service, for which I followed this steps: (According to FIDO2 standard and this example)
1. I enabled Associated Domains in my application 2. Backend service hosted the /.well-known/apple-app-site-assiciation.json ...ANSWER
Answered 2022-Mar-23 at 15:12It seems you got the site-association a bit wrong. The correct URL is https:///.well-known/apple-app-site-association - you are using ...apple-app-site-association.json. Strip off the .json at the end, then you should be good to go.
For a full explanation see https://developer.apple.com/documentation/xcode/supporting-associated-domains
QUESTION
I want validate a field with one value greater or equal 01/01/1900 in type datetime in Cerberus, but not works this way:
...ANSWER
Answered 2022-Feb-17 at 05:19Your approach is not false, just missing a decisive component - which is to account for the date-format.
try this:
QUESTION
I want to read a .csv file containing numbers with many digits by using the function readtable. Then I need to filter some rows and export the table to a .txt file. I manage to perform this task but the exported file contains numbers with less digits with respect to numbers stored into orginal .csv file.
How can I keep the same number of decimal digits as in the original file?
Here an example code: "NEOs_asteroids.csv" attached to this question:
...ANSWER
Answered 2022-Jan-29 at 23:54It is likely that you are running into a precision limitation of the floating point format used internally by MATLAB. MATLAB by default uses doubles to store pretty much all numbers. For an IEEE double you're only going to get about 15 decimal digits.
If you're not planning on performing computations on these numbers an option is to read them in as strings:
QUESTION
I'd like to have default values in nested dicts with Cerberus normalize function. Unfortunately it's not working. I have code such as:
...ANSWER
Answered 2022-Jan-05 at 22:33Not really sure if this is proper, but simply adding an empty default value to the api key works.
QUESTION
How do I catch the UNALLOWED_VALUE error?
...ANSWER
Answered 2022-Jan-05 at 22:15So I don't have a good answer, but I have an explanation with a not-so-fun workaround for you.
You can start to understand the issue here by looking at the docs. If you look at the info property, you'll see that it mentions how bulk validations have their individual errors stuffed in here. The issue you're having is that the UNALLOWED_VALUE error you expect, is being masked by other errors. To see this more clearly you can look at the underlying error object that is being returned (use ._errors instead of .errors). When you do that you will see:
QUESTION
Given a dictionary where the top level keys can be any value, but there is a strict schema within the values of those keys:
{"rand_value": ["key1": "val1", "key2": "val2"], "another_rand_value": ["key1": "val1", "key2": "val2"]}
Can I create a Cerberus schema which will enforce this?
...ANSWER
Answered 2021-Dec-02 at 18:16Cerberus must know the field name so it can determine which validation rule applies to it, so you can't do exactly what you're asking. There are no "top level" rules that apply to the whole document, and Cerberus doesn't support wildcards for field names.
You can, however, build a schema "on the fly" based on the actual field names present in the document, then validate against that.
QUESTION
Started to use cerberus for contract testing purposes.
It works perfectly in cases, when we got dict-based JSON structure, e.g:
{'results': [{"key": "value"}, {"key": "value"}, {"key":"value}]}
But everything goes bad when response is just a list of dicts, e.g.:
[{"key": "value"}, {"key": "value"}, {"key":"value}]
The basic error im facing with is:
...ANSWER
Answered 2021-Nov-05 at 16:24I'd prefer to post this as a comment but I don't have the reputation. Nonetheless, someone else asked the same thing here: https://github.com/pyeve/cerberus/issues/220
One solution was to write a Validator subclass, and another was to use cerberus-list-schema, which apparently is based on Cerberus but supports list and array schemas as well.
QUESTION
I'm getting version clashes when I try to build a dockerfile. This doesn't happen when I run pip install -r requirements.txt in a local venv. I ran pipdeptree in my local venv after installing and found no clashes. This is only occuring when I try to build with docker through the eb cli.
I'm running docker-ce 19.03.9. Both my local venv and my dockerfile are configured to run Python 3.6. I've been unable to contact the original developer and I'm not that familiar with docker so I'm not sure where to go from here other than installing different versions of docker and trying again.
As requested, here is the dockefile;
...ANSWER
Answered 2021-Sep-27 at 12:09The instructions Pip helpfully links you to explain what's going on, and it is indeed a bit of a hairy situation.
There is already an Beanstalk application that's running EC2s with docker containers that work just fine with these requirements so I'm not sure why this is happening now.
As to "why this is happening now" – two things I can think of:
- The Pip version in your base image has been updated; newer versions are smarter about conflicting dependencies (in that they refuse to install package constellations that might/should not work).
- Because your requirements.txt isn't necessarily fully locked down; there are transitive dependencies that get installed that aren't listed in the file that have become incompatible with one another.
However, since you already do have working container images, that's great! You could simply do
QUESTION
I'm trying to migrate users from our legacy Cerberus SFTP server to a new AWS Transfer Family SFTP server. The problem is most of our Cerberus users have password based authentication and all I have access to is their one-way hashed password. Thus I'm trying to reverse engineer how Cerberus hashes it's password so I don't have to ask our 100+ customers to submit a new password to use or switch to a public key based authentication.
I came across this blog post that I think details how to do it but I can't seem to get it to work for some reason - https://support.cerberusftp.com/hc/en-us/articles/360000040039-Securely-Storing-User-Passwords.
Here are the steps I've taken so far -
- created a user in Cerberus with a password of "asdf"
- exported my collection of users to a CSV file
- identified the hashed password from the export as follows - {{PBKDF2 HMAC SHA256}}:5000:42ED67592D7D80F03BF3E2413EB80718C5DAFEB5237FC4E5E309C2940DF1DBB2A4ABD9BB63B8AD285858B532A573D9DE
- attempted to write a Python script that could hash "asdf" to the same hash as shown above
Here is what my script looks like so far - https://replit.com/@ryangrush/sample.
...ANSWER
Answered 2021-Aug-06 at 22:44The documentation must've been written before the v7.0 PBKDF2 HMAC functions were adopted. The salt and the password are now used just as described in the documentation for PBKDF2.
QUESTION
Lets say that I have this json:
...ANSWER
Answered 2021-Jul-15 at 21:32Looks like you will want to use check_with alongside a simple function to forbid what you want to exclude e.g.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cerberus
You can use cerberus like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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