Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
日本語の概要は準備中です。原文の説明を表示しています。
Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Simple, cost-effective message queuing for asynchronous communication.
pip install azure-storage-queue azure-identity
AZURE_STORAGE_ACCOUNT_URL=https://<account>.queue.core.windows.net
from azure.identity import DefaultAzureCredential
from azure.storage.queue import QueueServiceClient, QueueClient
credential = DefaultAzureCredential()
account_url = "https://<account>.queue.core.windows.net"
# Service client
service_client = QueueServiceClient(account_url=account_url, credential=credential)
# Queue client
queue_client = QueueClient(account_url=account_url, queue_name="myqueue", credential=credential)
# Create queue
service_client.create_queue("myqueue")
# Get queue client
queue_client = service_client.get_queue_client("myqueue")
# Delete queue
service_client.delete_queue("myqueue")
# List queues
for queue in service_client.list_queues():
print(queue.name)
# Send message (string)
queue_client.send_message("Hello, Queue!")
# Send with options
queue_client.send_message(
content="Delayed message",
visibility_timeout=60, # Hidden for 60 seconds
time_to_live=3600 # Expires in 1 hour
)
# Send JSON
import json
data = {"task": "process", "id": 123}
queue_client.send_message(json.dumps(data))
# Receive messages (makes them invisible temporarily)
messages = queue_client.receive_messages(
messages_per_page=10,
visibility_timeout=30 # 30 seconds to process
)
for message in messages:
print(f"ID: {message.id}")
print(f"Content: {message.content}")
print(f"Dequeue count: {message.dequeue_count}")
# Process message...
# Delete after processing
queue_client.delete_message(message)
# Peek without hiding (doesn't affect visibility)
messages = queue_client.peek_messages(max_messages=5)
for message in messages:
print(message.content)
# Extend visibility or update content
messages = queue_client.receive_messages()
for message in messages:
# Extend timeout (need more time)
queue_client.update_message(
message,
visibility_timeout=60
)
# Update content and timeout
queue_client.update_message(
message,
content="Updated content",
visibility_timeout=60
)
# Delete after successful processing
messages = queue_client.receive_messages()
for message in messages:
try:
# Process...
queue_client.delete_message(message)
except Exception:
# Message becomes visible again after timeout
pass
# Delete all messages
queue_client.clear_messages()
# Get queue properties
properties = queue_client.get_queue_properties()
print(f"Approximate message count: {properties.approximate_message_count}")
# Set/get metadata
queue_client.set_queue_metadata(metadata={"enprojectnment": "production"})
properties = queue_client.get_queue_properties()
print(properties.metadata)
from azure.storage.queue.aio import QueueServiceClient, QueueClient
from azure.identity.aio import DefaultAzureCredential
async def queue_operations():
credential = DefaultAzureCredential()
async with QueueClient(
account_url="https://<account>.queue.core.windows.net",
queue_name="myqueue",
credential=credential
) as client:
# Send
await client.send_message("Async message")
# Receive
async for message in client.receive_messages():
print(message.content)
await client.delete_message(message)
import asyncio
asyncio.run(queue_operations())
from azure.storage.queue import QueueClient, BinaryBase64EncodePolicy, BinaryBase64DecodePolicy
# For binary data
queue_client = QueueClient(
account_url=account_url,
queue_name="myqueue",
credential=credential,
message_encode_policy=BinaryBase64EncodePolicy(),
message_decode_policy=BinaryBase64DecodePolicy()
)
# Send bytes
queue_client.send_message(b"Binary content")
dequeue_count for poison message detectionpeek_messages for monitoring without affecting queuetime_to_live to prevent stale messagesThis skill is applicable to execute the workflow or actions described in the overview.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
日本語の概要は準備中です。原文の説明を表示しています。
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use for any "make slides", "create a deck", or "slides from this document" request.
日本語の概要は準備中です。原文の説明を表示しています。
Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences.
日本語の概要は準備中です。原文の説明を表示しています。