erwan-lemonnier

(load "~/.emacs.d/flymake.el")
(load "~/.emacs.d/flymake-cursor.el")

; manual python checking:
; pycheckers is a script in the path, under ~/bin/, that run
; pyflakes, pep8 and possibly more checks
(setq python-check-command "/Users/erwan/bin/pycheckers")

; use flymake with pycheckers
(add-hook 'find-file-hook 'flymake-find-file-hook)

erwan-lemonnier

#!/bin/bash

flake8 --ignore=E221,E701,E202,E501,E302,E301 $@

# Return true
true

erwan-lemonnier

brew install python3
brew install flake8

erwan-lemonnier

        # Use vision api to extract all text in the image
        response = gvc.annotate_image({
            'image': {
                'source': {
                    'image_uri': 'gs://%s/%s' % (bucket_name, IMG_NAME),
                }
            },
            'features': [
                {
                    'type_': vision.Feature.Type.DOCUMENT_TEXT_DETECTION,

erwan-lemonnier

    renderer = PageRenderer()
    pdf_document = load_from_file(pdf)

    emails = []

    for page_number in range(pdf_document.pages):
        page = pdf_document.create_page(page_number)
        image = renderer.render_page(page)

        # Convert pdf image to PIL image

erwan-lemonnier

{
  "timestamp": "2020-11-28T04:11:40.530Z",
  "eventId": "string",
  "eventType": "MESSAGE_ADDED",
  "message": {
    "messageId": "string",
    "chatId": "string",
    "parentId": "string",
    "isRead": true,
    "type": "USER",

erwan-lemonnier

{
  "user_id": "user-123",
  "chat_id": "chat-456",
  "thread_id": "branch-abc",
  "date_created": "2020-11-28 13:15:09+00:00",
  "date_last_seen": "2020-11-30 08:26:11+00:00",
  "is_muted": false,
  "is_active": true,
}

erwan-lemonnier

{
  "user_id": "user-123",
  "chat_id": "chat-123456",
}

{
  "user_id": "user-123",
  "chat_id": "chat-789012",
}

erwan-lemonnier

class Message():

  def normalize(self):
    # If message lacks a 'likes' counter, initialize one
    if not hasattr(self, 'count_likes'):
      self.count_likes = 0
      
# Each time you are fetching a message from datastore, do
# something like:
msg = fetch_from_database(message_id)

erwan-lemonnier

{
  "message_id": "1234567890",
  "chat_id": "chat-123",
  "thread_id": "branch-789",
  "author_id": "user-456",
  "type": "TEXT",
  "text": "this is a message",
  "image_url": null,
  "count_views": 99,
  "count_likes": 22,