keshan-spec

from flask import Flask
from bs4 import BeautifulSoup
import requests
import os
import json

keshan-spec

app = Flask(__name__) # Create an instance of Flask

# the / route
@app.route("/")
def home():
    return json.dumps({"docker":"flask"}) 

# Run the app
if __name__ == "__main__":
    app.run(debug=True, port=5000)

keshan-spec

keys = [
        "Country",
        "Total Cases",
        "New Cases",
        "Total Deaths",
        "New Deaths",
        "Total Recovered",
        "New Recovered",
        "Active Cases",
    ]  # the keys of the table

keshan-spec

  s, e = 0, len(keys)
  entries = []

  # Loop through the temp list and make a dict with every 9 items
  for _ in range(len(tmp) // len(keys)):
      d = dict(zip(keys, tmp[s:e]))
      if d:
          entries.append(d)
      s += len(keys)
      e += len(keys)

keshan-spec

@app.route("/show/<country>")
def get_country(country):
    entries = get_info_table()
    if country == "all":
        return json.dumps(entries)
    else:
        for entry in entries["data"]:
            if entry["Country"] == country.lower():
                return json.dumps(entry)
        return json.dumps({"error": f"Country not found: {country}"})

keshan-spec

# syntax=docker/dockerfile:1
FROM python:3.8-slim-buster
WORKDIR /code
COPY . .
EXPOSE 5000
RUN pip3 install -r requirements.txt
CMD [ "python3", "-m" , "flask", "run", "--host=0.0.0.0"]

keshan-spec

# docker-compose.yml

version: "3.2"
services:
  web:
    build: . # where the Dockerfile is located
    ports:
      - 5000:5000 # container:host
    environment:
      - URL=https://www.worldometers.info/coronavirus/

keshan-spec

import os
import re
import dateutil.parser as dparser

conversions = {}

# Define the folder containing the files to be renamed
PATH = os.path.join(os.getcwd(),"files")

def create_dummy_files():

keshan-spec

# For webcam input:
cap = cv2.VideoCapture(0)
with mp_face_detection.FaceDetection() as face_detection:
  while cap.isOpened():
    success, image = cap.read()
    while not success:
      success, image = cap.read()
    
    # To improve performance, optionally mark the image as not writeable to
    # pass by reference.

keshan-spec

cap = cv2.VideoCapture(0)
with mp_face_detection.FaceDetection() as face_detection:
  while cap.isOpened():
    success, image = cap.read()
    while not success:
      success, image = cap.read()