freddie | DRF-like declarative viewsets for FastAPI | REST library
kandi X-RAY | freddie Summary
kandi X-RAY | freddie Summary
Declarative CRUD viewsets for FastAPI with optional database (Postgres) objects support. Inspired by Django REST Framework.
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Top functions reviewed by kandi - BETA
- Handle update request
- Create a model instance
- Run a function asynchronously
- Returns a response to not found
- Return object or raise 404
- Perform API actions
- Add API endpoint
- Add routes from class declaration
- Return an iterator over all view set routes
- Add API routes
- Validate a model instance
- Fetch a list of objects
- Constructs a query
- Fetch related objects
- Build prefetch configuration
- Create a new model instance
- Validate schema constraints
- Get the maximum length of a field
- Overrides the custom handler
- Gets an object by pk
- Get related objects
- Returns the lookup expression for the given primary key
- Overrides get_object
- Validate component names
- Return a list of type choices from a pk type
- Validate the schema
- Delete a component
freddie Key Features
freddie Examples and Code Snippets
Lines of Code : 241License : Permissive (MIT)
Copyfrom fastapi import FastAPI
from freddie.exceptions import NotFound
from freddie.schemas import Schema
from freddie.viewsets import FieldedViewset, PaginatedListViewset, route, ViewSet
# Schema is just a subset of Pydantic model
class Post(Schema):
pip install freddie
pip install freddie[db]
make dev && . venv/bin/activate
make test
df.fillna("")
import csv
keys = ["id", "name", "age", "height", "weight"]
with open('temp.csv', 'w') as temp_file:
dict_writer_obj = csv.DictWriter(temp_file, fieldnames = keys)
with open('dictReader.csv','r') as file:
dict_reader_oversion: "3.7"
services:
prepare_files:
image: apache/airflow:1.10.14
volumes:
- ${PWD}/testing.py:/testing.py
environment:
PYTHONUNBUFFERED: 1
entrypoint: /bin/bash
command: -c "python3 /testing.py ${WORKU=$(echo -n "freddie" | base64)
P=$(echo -n "fridays" | base64)
POD="p" # Or...
SECRET="s" # Or...
NAMESPACE="default" # Or...
echo "
apiVersion: v1
kind: Secret
metadamatched_vendors = []
for row in vendor_df.index:
vendor_name = vendor_df.get_value(row,"Name of vendor")
for columns in regulator_df.index:
regulated_vendor_name=regulator_df.get_value(columns,"Name of Entity")
matOUTPUT_DIR = ''
class writeable():
def __init__(self, *args, **kwargs):
self.fileName = 'writeFile'
self.outputFolder = kwargs.get('output_dir',OUTPUT_DIR)
if self.outputFolder:
self.path = self.outd = {'df_E1':df_E1, 'df_E2':df_E2, 'df_E3':df_E3}
print (d)
{'df_E1': name number description
0 john 3 a
1 tom 4 b
2 barney 5 c
3 freddie 6 d, 'df_E2': name Community Discussions
Trending Discussions on freddie
QUESTION
I want to add an element to an xml-file at a specific path whose subnodes do not exist in the initial example.xml file. When adding the element, I want to create all the necessary child nodes "on the fly" and not one at a time.
I don't know the correct way to do it, the following code-snipped is just an example for illustration purposes. Maybe it is possible using different methods from etree.
My example:
...ANSWER
Answered 2022-Mar-29 at 22:57You can try it this way:
QUESTION
I'm trying to make an executable with PyInstaller's onefile option. I've tried many, many different ways of fixing it and I'm absolutely stuck. Specifically, I tried Pyinstaller and --onefile: How to include an image in the exe file. I made my spec file look like theirs and included the resource_path() function. However, I get the following error:
...ANSWER
Answered 2022-Mar-16 at 18:06Okay well I was sure I had already tried this, but by adding the resource path method from Pyinstaller and --onefile: How to include an image in the exe file, but without changing the spec file, this command works:
QUESTION
ANSWER
Answered 2022-Jan-25 at 18:30We may use str_remove to match the \\ and remove the rest
QUESTION
I'm using MailChimp.Net.V3 and I would like to know how to send an address to MailChimp API. I'm using C# and ASP.NET.
I've followed instructions from MailChimp.Net.V3 on adding a new contact with merge fields: https://github.com/brandonseydel/MailChimp.Net
See example code from MailChimp GitHub page. It doesn't show how to send the address via the merge fields.
...ANSWER
Answered 2022-Jan-11 at 08:38QUESTION
Python 3.9 and Pandas 1.3.4
So here's the df:
...ANSWER
Answered 2021-Nov-23 at 20:31Replace possible missing values to empty string, compare and test if at least one value match in DataFrame.any:
QUESTION
Python 3.9 and Pandas 1.3.4
So here's the df:
...ANSWER
Answered 2021-Nov-23 at 16:40Try:
QUESTION
Python 3.9 and Pandas 1.3.4
So here is my dataframe that I'm working with:
...ANSWER
Answered 2021-Nov-22 at 21:41You can replace the nan values with a blank string so that it will include them when running your concatenation program. For example:
QUESTION
So I am doing a practice landing page for non-existent game and this is the issue I've encountered.
The hero-row div is overflowing its header-box container, because it itself is overflowed by its contents
header-box contains 2 rows: nav-row and hero-row. They are displayed as flex items and themselves use flex layout inside. The issue seems to be connected to padding of the image azamat-icon. Please help me wrap my head around it, because this sinks contents of hero-row lower than necessary and the header-box is larger than the screen height, despite the heigth: 100vh.
Screenshot
Code fot this part of project:
...ANSWER
Answered 2021-Nov-13 at 06:35Just change
QUESTION
I am working on a baseball analysis project where I web-scrape the real-time lineups for a given team, on a given date.
I am currently facing an issue with the names that I receive in the scraped dataframe -- in random cases, the player names will come in a different format and are unusable (I take the player name and pass it into a statistics function which will only work if I have the players name formatted correctly.)
Example:
...ANSWER
Answered 2021-Oct-29 at 16:36If the theme is really consistent you could do something like this:
QUESTION
import csv
keys = ["id", "name", "age", "height", "weight"]
with open('temp.csv', 'w') as temp_file:
dict_writer_obj = csv.DictWriter(temp_file, fieldnames = keys)
with open('dictReader.csv','r') as file:
dict_reader_obj = csv.DictReader(file)
dict_writer_obj.writeheader()
dict_writer_obj.writerows(file)
ANSWER
Answered 2021-Oct-29 at 16:09Just change:
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