tripliks

libdir = /opt/opencv-4.1.0/lib
includedir = /opt/opencv-4.1.0/include/opencv4

Name: OpenCV
Description: OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library.
Version: 4.1.0
Libs: -L${libdir} -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_calib3d -lopencv_ccalib -lopencv_core -lopencv_datasets -lopencv_dnn_objdetect -lopencv_dnn -lopencv_dpm -lopencv_face -lopencv_features2d -lopencv_flann -lopencv_freetype -lopencv_fuzzy -lopencv_gapi -lopencv_hfs -lopencv_highgui -lopencv_imgcodecs -lopencv_img_hash -lopencv_imgproc -lopencv_line_descriptor -lopencv_ml -lopencv_objdetect -lopencv_optflow -lopencv_phase_unwrapping -lopencv_photo -lopencv_plot -lopencv_quality -lopencv_reg -lopencv_rgbd -lopencv_saliency -lopencv_shape -lopencv_stereo -lopencv_stitching -lopencv_structured_light -lopencv_superres -lopencv_surface_matching -lopencv_text -lopencv_tracking -lopencv_videoio -lopencv_video -lopencv_videostab -lopencv_xfeatures2d -lopencv

tripliks

ssh-keygen -t rsa -b 4096 -f jwtRS256.key
# Don't add passphrase
openssl rsa -in jwtRS256.key -pubout -outform PEM -out jwtRS256.key.pub
cat jwtRS256.key
cat jwtRS256.key.pub

tripliks

(This gist is pretty old; I've written up my current approach to the Pyramid integration on this blog post, but that blog post doesn't go into the transactional management, so you may still find this useful.)

Fast and flexible unit tests with live Postgres databases and fixtures

I've created a Pyramid scaffold which integrates Alembic, a migration tool, with the standard SQLAlchemy scaffold. (It also configures the Mako template system, because I prefer Mako.)

I am also using PostgreSQL for my database. PostgreSQL supports nested transactions. This means I can setup the tables at the beginning of the test session, then start a transaction before each test happens and roll it back after the test; in turn, this means my tests operate in the same environment I expect to use in production, but they are also fast.

I based my approach on [sontek's blog post](http://sontek.net/blog/

tripliks

import sqlalchemy as sa
import sqlalchemy.orm as orm
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.ext.declarative import declared_attr
from sqlalchemy.orm import scoped_session, sessionmaker

DBSession = scoped_session(sessionmaker())
class BaseMixin(object):
    query = DBSession.query_property()
    id = sa.Column(sa.Integer, primary_key=True)

tripliks

#
# CORS header support
#
# One way to use this is by placing it into a file called "cors_support"
# under your Nginx configuration directory and placing the following
# statement inside your location block(s):
#
#   include cors_support;
#
# A limitation to this method is that Nginx doesn't currently send headers

tripliks

That’s one of the real strengths of Docker: the ability to go back to a previous commit. The secret is simply to docker tag the image you want.

Here’s an example. In this example, I first installed ping, then committed, then installed curl, and committed that. Then I rolled back the image to contain only ping:

$ docker history imagename
IMAGE               CREATED             CREATED BY                SIZE
f770fc671f11        12 seconds ago      apt-get install -y curl   21.3 MB
28445c70c2b3        39 seconds ago      apt-get install ping      11.57 MB
8dbd9e392a96        7 months ago                                  131.5 MB

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#
# Wide-open CORS config for nginx
#
location / {

     if ($request_method = 'OPTIONS') {

        add_header 'Access-Control-Allow-Origin' '*';
        
        #

tripliks

if (sse) {
  headers = {
    "x-amz-server-side-encryption-customer-key": btoa(privateKey),
    "x-amz-server-side-encryption-customer-key-MD5": md5b64(privateKey),
    "x-amz-server-side-encryption-customer-algorithm": "AES256"
  };
}

function md5b64(data) {
    return CryptoJS

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#!/bin/bash

## file to upload. 
S3_UPLOAD_FILE=some/path/file.txt

## Specify the bucket name here. This can be found in the S3 console
S3_BUCKET=bucket name here

## The desired path relative to the root of the bucket. All folders must be forward slash '/' separated
S3_DESTINATION_FILE=folder/folder2/file.txt

tripliks

import sqlalchemy
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy.orm import sessionmaker, relationship, backref
from sqlalchemy.ext.associationproxy import association_proxy
import uuid
 
engine = sqlalchemy.create_engine('sqlite:///:memory:')
Base = declarative_base()