kantord

find . -type f -exec bash -c 'paste -d "|" <(yes $0) <(yes $(stat -c %y "$0")) "$0" | head -n `cat "$0" | wc -l`' '{}' \;

kantord

"""
  Example:
    greet = magic_def("object", object="World")("Hello {object}!".format)
    greet()  # Hello World!
    greet("John Doe")  # Hello John Doe!
"""

def magic_def(*argument_names, **default_values):
    def wrapper(func):
        values = dict(default_values.iteritems())

kantord

kantord

{
  "component": "root",
  "args": {"title": "Hello World"},
  "data": [
    {"component": "text",
     "args": {"tagName": "h1"},
     "data": "Hello World!"
    },
    {"component": "text",
     "args": {"tagName": "p"},

kantord

  {
    "component": "root",
    "args": {"title": "Cereals"},
    "data": [
      {"component": "text",
        "args": {"tagName": "h1"},
        "data": "Cereals"
      },
      {"component": "text",
        "args": {"tagName": "h2"},

kantord

dashboard "Cereals":
  - h1 text: "Cereals"
  - h2 text: "By calories"
  - bar chart:
    - attr:query: '{"columns": [(sort_by(-(.calories | tonumber)) | .[] | [.name, .calories])]}'
    - data: https://gist.githubusercontent.com/ZeningQu/6184eaf8faa533e320abc938c4738c3e/raw/40f237de825061faa8721c2293b79c46979780b4/cereals.csv
  - h2 text: "By nutritional profile"
  - 4 columns:
    - attr:query: '.[] | {"component": "rows", "data": [{"component": "text", "args": {"tagName": "h3"}, "data": .name}, {"component": "chart", "args": {"type": "pie"}, "data": {"columns": [["protein", .protein], ["carbo", .carbo], ["sugars", .sugars], ["fat", .fat]]}}]}'
    - data: https://gist.githubusercontent.com/ZeningQu/6184eaf8faa533e320abc938c4738c3e/raw/40f237de825061faa8721c2293b79c46979780b4/cereals.csv

kantord

{"component":"root","args":{"title":"Hello World"},"data":[{"component":"text","args":{"tagName":"h1"},"data":"Hello"},{"component":"text","args":{"query":".[0]","tagName":"h2"},"data":["Hello World!"]}]}

kantord

{
  "Bananas": [["Protein", 5], ["Sugar", 10], ["Other carbs", 40], ["Fat", 1]],
  "Tofu" : [["Protein", 30], ["Sugar", 0], ["Other carbs", 40], ["Fat", 3]],
  "Peanut butter": [["Protein", 20], ["Sugar", 2], ["Other carbs", 20], ["Fat", 50]]
}

kantord

dashboard "Food":
  - h1 text: Food
  - h2 text: By caloric content
  - 3 columns:
    - attr:query: '[to_entries | .[] | {"component": "rows", "data": [
      {"component": "text", "args": {"tagName": "h3"}, "data": .key},
      {"component": "chart", "args": {"type": "pie"}, "data": {"columns": .value}}
    ]}]'
    - data: https://gist.githubusercontent.com/kantord/2b2e3b22cb70be0415a7d50c395fa411/raw/47542f8a3db0d65aeeb48e28ddfaa8feabbc72b5/nutri.json

kantord

dashboard "Cryptocurrency prices":
  - h1 text: "Cryptocurrency prices"
  - spline chart:
    - attr:query: '{"rows": []}'
    - attr:loader: json
    - data: https://coinbin.org/btc/history