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

thanakijwanavit

####timestamp
datetime.now().timestamp()

### datestamp
dt = datetime.combine(date.today(), datetime.min.time())
dt.timestamp()

thanakijwanavit

aws s3 cp s3://villa-remove-bg-small-output/ s3://villa-remove-bg-small-output/ --recursive --content-t
ype="image/png" --no-guess-mime-type --metadata-directive="REPLACE"

thanakijwanavit

from dataclasses_json import dataclass_json, Undefined, CatchAll
from dataclasses_jsonschema import JsonSchemaMixin
from dataclasses import dataclass
from typing import List


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

thanakijwanavit

##### for signor
from s3bz.s3bz import S3
def presign (bucket:str, key:str, expiry:int)->dict:
  return S3.presignUpload(bucket=bucket, key = key, expiry = 1000)

```
{'url': 'https://inventory-bucket-dev-manual.s3-accelerate.amazonaws.com/',
 'fields': {'key': 'test',

thanakijwanavit

AWSTemplateFormatVersion: 2010-09-09
Resources:
  CloudFrontCachePolicy:
    Type: AWS::CloudFront::CachePolicy
    Properties: 
      CachePolicyConfig: 
        CachePolicyConfig
  cloudfrontdistribution:
    Type: AWS::CloudFront::Distribution
    Properties:

thanakijwanavit

Parameters:
  BRANCH:
    Type: String
    Default: dev-blank