thanakijwanavit

openapi: '3.0.0'
info:
  title: SquirrelVL API
  description: >
    SquirrelVL API is a collection of endpoints that support the Squirrel
    VanLife application.
  version: '0.0.1'
servers:
  - url: https://api.nicesquirrel.com
    description: Production API server

thanakijwanavit

<escape>:%!python -mjson.tool

thanakijwanavit

class Order2(Model):
  class Meta:
    table_name = ORDER_TABLE
    region = 'ap-southeast-1'
    dax_read_endpoints = ['longtermcluster.vuu7lr.clustercfg.dax.apse1.cache.amazonaws.com:8111']
    dax_write_endpoints = ['longtermcluster.vuu7lr.clustercfg.dax.apse1.cache.amazonaws.com:8111']
  ## keys
  ownerId=UnicodeAttribute()
  basketId=UnicodeAttribute()
  

thanakijwanavit

from pynamodb_attributes import UnicodeEnumAttribute
from pynamodb.models import Model
from enum import Enum

class ShippingType(Enum):
  delivery = 'DELIVERY'
  pickUp = 'PICKUP'

class PynamoClass(Model):
  shippingType = UnicodeEnumAttribute(ShippingType, null=True) # enum shipping type

thanakijwanavit

from dataclasses_json import dataclass_json, Undefined, CatchAll
from dataclasses_jsonschema import JsonSchemaMixin
import yaml

@dataclass_json(undefined=Undefined.INCLUDE)
@dataclass
class Product(JsonSchemaMixin):
  iprcode: int
  cprcode: int

thanakijwanavit

- /deploymentId, 
- /description,      
- /cacheClusterEnabled,                  
- /cacheClusterSize,                     
- /clientCertificateId,                  
- /accessLogSettings,                    
- /accessLogSettings/destinationArn,     
- /accessLogSettings/format,
- /{resourcePath}/{httpMethod}/metrics/enabled,
- /{resourcePath}/{httpMethod}/logging/data Trace,

thanakijwanavit

$schema: http://json-schema.org/schema#
properties:
  id:
    type: string
    description: f42dde0a-8741-48f4-b535-9baeb3bea170
  given_name:
    type: string
    description: Joe
  middle_name:
    type: string

thanakijwanavit

import yaml
print(yaml.dump({'hello':'world',
                'stacked': {'hello1':'world1'}}))

thanakijwanavit

pip install -r https://gist.github.com/thanakijwanavit/cc1c456b62315823acdfe6352004e0fc/raw/requirements.txt

thanakijwanavit

name="python38"
version="3.8"

# Create a new conda environment for the given Python version
conda create -y -n "$name" python="$version"

# Activate the environment
source /home/ec2-user/anaconda3/bin/activate "$name"

# Create a Jupyter kernel for your new environment