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I want validate a field with one value greater or equal 01/01/1900 in type datetime in Cerberus, but not works this way:

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:

I'd like to have default values in nested dicts with Cerberus normalize function. Unfortunately it's not working. I have code such as:

How do I catch the UNALLOWED_VALUE error?

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?

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:

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;

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 -

1. created a user in Cerberus with a password of "asdf"
2. exported my collection of users to a CSV file
3. identified the hashed password from the export as follows - {{PBKDF2 HMAC SHA256}}:5000:42ED67592D7D80F03BF3E2413EB80718C5DAFEB5237FC4E5E309C2940DF1DBB2A4ABD9BB63B8AD285858B532A573D9DE
4. 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.

Lets say that I have this json: