Tom a-toms

## comment_threads.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                a-toms
                / comment_threads.md
            
            
              Last active
              March 27, 2024 11:26
                — forked from zchtodd/comment_threads.md
            
          
  title
  description
  created_at
  
  
  Add comments to Django in 9 mins (using HTMX) 🧵
  Let people leave comments in your Django app, with HTMX to make it interactive.
  2024-03-27 03:31:06 -0700
  
  
We'll build a simple app that shows user comments in 9 minutes. This includes:

allowing users to add comments and reply to comments.
showing each user's profile image (using the Gravatar API).
adding sample comments into the Django database from yaml (using the Django loaddata management command).


## gist:9450829b0a6be1ceeb7016e898fa7fc9
# Started tomato.
MINUTES_REMAINING=$(awk "BEGIN {print int($FOCUS_SESSION_INTENDED_DURATION/60)}") # Bash doesn't support floating point arithmetic, so we use awk to round down to the nearest integer
MESSAGE="🍅 *Tomato started* 🍅\n Tomato due to finish at $FOCUS_SESSION_END_DATE ($MINUTES_REMAINING minutes left).\n\n"
curl -X POST \
     -H 'Content-Type: application/json' \
     -d "{\"chat_id\": \"<YOUR_CHAT_ID>\", \"text\": \"$MESSAGE\", \"disable_notification\": false, \"parse_mode\": \"Markdown\"}" \
     https://api.telegram.org/bot<BOT_API_TOKEN>/sendMessage


# Completed tomato.

## css_to_dictionary.py
import tinycss2
from tinycss2.ast import WhitespaceToken
from tinycss2 import serialize


def css_to_dict(css: str) -> Dict[str, str]:
    """
    Convert a CSS string to a dictionary of CSS attributes.
    """
    return {

## _replace_this_with_an_environment_variable_in_production_4_2_run_your_serverless_function_locally_2.txt
Event = {'body': {'task_id': 1}, 'httpMethod': 'POST'}
Received task_id 1
Completed task_id 1
END RequestId: ac4d9b48-9675-4513-881b-d5a89d801035
REPORT RequestId: ac4d9b48-9675-4513-881b-d5a89d801035  Init Duration: 0.76 ms  Duration: 3895.27 ms    Billed Duration: 3896 ms        Memory Size: 128 MB     Max Memory Used: 128 MB
{"status_code": 404, "body": "{\"status\": \"task does not exist\"}"}%

## _replace_this_with_an_environment_variable_in_production_4_2_run_your_serverless_function_locally_1.txt
sam build
sam local invoke --event events/event.json

## _replace_this_with_an_environment_variable_in_production_4_2_run_your_serverless_function_locally_0.txt
{
    "body": {"task_id": 1},
    "httpMethod": "POST"
}

## _section_3_add_your_serverless_function_troubleshooting_sam_local_invoke__0.txt
"Error: Running AWS SAM projects locally requires Docker. Have you got it installed and running?"

## _section_3_add_your_serverless_function_3_3_run_your_serverless_function_locally_1.txt
{"statusCode": 200, "body": "{\"message\": \"hello world\"}"}

## _section_3_add_your_serverless_function_3_3_run_your_serverless_function_locally_0.txt
bash
sam local invoke

## _section_3_add_your_serverless_function_3_2_build_your_serverless_function_0.txt
bash
cd sam-app
sam build
	# Started tomato.
	MINUTES_REMAINING=$(awk "BEGIN {print int($FOCUS_SESSION_INTENDED_DURATION/60)}") # Bash doesn't support floating point arithmetic, so we use awk to round down to the nearest integer
	MESSAGE="🍅 Tomato started 🍅\n Tomato due to finish at $FOCUS_SESSION_END_DATE ($MINUTES_REMAINING minutes left).\n\n"
	curl -X POST \
	-H 'Content-Type: application/json' \
	-d "{\"chat_id\": \"<YOUR_CHAT_ID>\", \"text\": \"$MESSAGE\", \"disable_notification\": false, \"parse_mode\": \"Markdown\"}" \
	https://api.telegram.org/bot<BOT_API_TOKEN>/sendMessage


	# Completed tomato.
	import tinycss2
	from tinycss2.ast import WhitespaceToken
	from tinycss2 import serialize


	def css_to_dict(css: str) -> Dict[str, str]:
	"""
	Convert a CSS string to a dictionary of CSS attributes.
	"""
	return {
	Event = {'body': {'task_id': 1}, 'httpMethod': 'POST'}
	Received task_id 1
	Completed task_id 1
	END RequestId: ac4d9b48-9675-4513-881b-d5a89d801035
	REPORT RequestId: ac4d9b48-9675-4513-881b-d5a89d801035 Init Duration: 0.76 ms Duration: 3895.27 ms Billed Duration: 3896 ms Memory Size: 128 MB Max Memory Used: 128 MB
	{"status_code": 404, "body": "{\"status\": \"task does not exist\"}"}%