Conversion_Kitchen_Code/kitchen_counter/conversion/management/commands/custom_runserver.py

207 lines
7.0 KiB
Python
Executable File

import socket
import time
import boto3
import subprocess
import json
import threading
from django.core.management.base import BaseCommand
from django.core.management import call_command
from mnfapp.models import ScriptTranslations
from MNF.settings import BasePath
from conversion.translation.external_conversion import Conversion
from centralisedFileSystem.models import Script, File
from scriptAudit.models import ScriptAuditModel
from scriptAudit.models import States
from utils import filesystem
from scriptAudit.utils import update_audit_status
from scriptAudit.mnf_script_audit import NeutralAudit
from django.core.files.base import ContentFile
from django.contrib.auth import get_user_model
basePath = BasePath()
User = get_user_model()
def background_execution(obj):
obj.convert()
def run_conversion(msg):
body_dict = json.loads(msg.body)
translated_script = ScriptTranslations.objects.get(translation_id=body_dict["translation_id"])
object_key = "INPUT/" + (translated_script.script_link_id.script.name.split("/"))[-1]
local_file_path = "/home/ubuntu/Conversion_Kitchen_Code/kitchen_counter/media/" + translated_script.script_link_id.script.name
s3_client = boto3.client('s3',
aws_access_key_id="AKIAQVLBBGCB45RMLKVW",
aws_secret_access_key="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",
region_name="ap-south-1"
)
s3_client.download_file("conversion-kitchen", object_key, local_file_path)
conversion_params = {
"user": translated_script.user_id,
"file_path": str(basePath) + "/media/" + translated_script.script_link_id.script.name,
"original_script_id": translated_script.script_link_id.script_id,
"translated_script_id": translated_script.translation_id,
"sample_id": body_dict.get('sample_id', None),
"existing_script": body_dict.get('sample_id', None),
"iteration_no": body_dict.get('iteration_no', None),
"juggernaut_pages_deduction": body_dict.get("juggernaut_pages_deduction", None),
"language_set": body_dict.get("language_set", None),
"amount_without_subscrption": body_dict.get("amount_without_subscrption", None)
}
print("reached here")
obj = Conversion(**conversion_params)
# obj.convert()
background_thread = threading.Thread(target=background_execution, args=(obj,))
background_thread.start()
background_thread.join()
s3_client.delete_object(Bucket='conversion-kitchen', Key=object_key)
msg.delete()
def run_audit(msg):
body_dict = json.loads(msg.body)
user = body_dict.get("user")
s3_url = body_dict.get("s3-file-path")
screenplay_name = body_dict.get("screenplay_name")
author = body_dict.get("author")
language = body_dict.get("language")
script_ext = body_dict.get("script_ext")
script_file_name = body_dict.get("script_file_name")
object_key = "INPUT/" + str(script_file_name)
local_file_path = "/home/ubuntu/Conversion_Kitchen_Code/kitchen_counter/media/audit_counter_files/" + script_file_name
s3_client = boto3.client('s3',
aws_access_key_id="AKIAQVLBBGCB45RMLKVW",
aws_secret_access_key="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",
region_name="ap-south-1"
)
s3_client.download_file("conversion-kitchen", object_key, local_file_path)
with open(local_file_path, 'rb') as file:
file_content = file.read()
file = ContentFile(
file_content,
script_file_name,
)
user = User.objects.get(username=user)
# user_id = user.id
result = filesystem.new_screenplay_without_audit_in_background(
user,
author,
screenplay_name,
file,
"script-original",
language,
)
script_id = result.get("script", {}).get("id")
file_to_original = File.objects.get(
script=script_id,
type="script-original"
)
try:
update_audit_status(script_id, States.STARTED)
except:
update_audit_status(script_id, States.FAILURE)
try:
naudit = NeutralAudit(script_id)
naudit.audit()
ScriptAuditModel.objects.update_or_create(
script = Script.objects.get(
id = script_id
),
defaults={"status" : "SUCCESS"}
)
except:
ScriptAuditModel.objects.update_or_create(
script = Script.objects.get(
id = script_id
),
defaults={"status" : "FAILURE"}
)
msg.delete()
class Command(BaseCommand):
help = 'Custom Command to start django server and then start dequeuing from SQS'
def handle(self, *args, **options):
# Call the original runserver command"
# call_command('runserver', '0.0.0.0:4549')
command = 'python manage.py runserver 0.0.0.0:4549 > /home/ubuntu/Conversion_Kitchen_Code/logfile.log 2>&1'
# # Execute the command using subprocess.Popen
subprocess.Popen(command, shell=True)
# Wait for the server to start
while True:
try:
# Try to connect to the server
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.connect(('0.0.0.0', 4549))
break
except ConnectionRefusedError:
# If connection is refused, wait and try again
time.sleep(1)
# Once the server is up, run your function
self.run_after_server_startup()
def run_after_server_startup(self):
# Your function to run after the server starts
print("Development server is fully up and running! Run your function here.")
session = boto3.Session(
aws_access_key_id='AKIAQVLBBGCB45RMLKVW', # replace with your key
aws_secret_access_key='ZWc6KOc5LuBLuCEBDDfQTor+Q7rp3fFH74gVt+AA', # replace with your key
)
sqs = session.resource('sqs', region_name='ap-south-1')
print("Started Executin this from conversion")
queue = sqs.get_queue_by_name(QueueName="mnfqueue")
# try:
while True:
messages = queue.receive_messages(
MessageAttributeNames=["All"],
MaxNumberOfMessages=1,
WaitTimeSeconds=5,
)
if len(messages) > 0:
for msg in messages:
try:
print("Received message: %s: %s", msg.message_id, msg.body)
print(type(msg.body))
body_dict = json.loads(msg.body)
if body_dict['service_type'] == "conversion":
run_conversion(msg)
elif body_dict['service_type'] == "audit":
run_audit(msg)
except Exception as error:
print("error execution from queue: %s", error)
else:
break
print("Completed All Execution")