“Naeel”
df16b40a9d
- sqs-consumer: new Go binary v1.2 with tokenManager (auto-login /auth/login, 5min cache, retry on 401) - console: add MQ/KW triggers UI (mqtriggers.go, kwtriggers.go, mq.js) - console: update python-env image to v1.1 (boto3+psycopg2+requests) - weather-demo: fix consumer/main.py (Flask Request.get_json instead of dict access) - weather-demo: fix fetcher/main.py (boto3 SQS publish, 5 cities) - weather-demo: update main.tf (python-env v1.1, deploy_type=literal) - python-env: add psycopg2-binary to Dockerfile (v1.1) - terraform provider: client auth fix
93 lines
3.3 KiB
Python
93 lines
3.3 KiB
Python
import os
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import json
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import time
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import requests
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import boto3
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from botocore.config import Config
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# Open-Meteo: бесплатный API без ключа, реальные данные.
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# https://open-meteo.com/en/docs
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CITIES = [
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{"name": "Moscow", "country": "RU", "lat": 55.7558, "lon": 37.6173},
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{"name": "London", "country": "GB", "lat": 51.5074, "lon": -0.1278},
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{"name": "Paphos", "country": "CY", "lat": 34.7753, "lon": 32.4242},
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{"name": "Ulyanovsk", "country": "RU", "lat": 54.3282, "lon": 48.3866},
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{"name": "Santiago", "country": "CL", "lat": -33.4489, "lon": -70.6693},
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]
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# WMO weather code → описание
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WMO_DESCRIPTIONS = {
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0: "clear sky", 1: "mainly clear", 2: "partly cloudy", 3: "overcast",
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45: "fog", 48: "icy fog", 51: "light drizzle", 53: "drizzle",
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55: "heavy drizzle", 61: "light rain", 63: "rain", 65: "heavy rain",
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71: "light snow", 73: "snow", 75: "heavy snow", 80: "rain showers",
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81: "showers", 82: "violent showers", 95: "thunderstorm",
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}
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def fetch_city(city):
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params = {
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"latitude": city["lat"],
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"longitude": city["lon"],
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"current": "temperature_2m,apparent_temperature,relative_humidity_2m,surface_pressure,wind_speed_10m,weather_code",
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"wind_speed_unit": "ms",
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"timezone": "UTC",
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}
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resp = requests.get(
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"https://api.open-meteo.com/v1/forecast",
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params=params,
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timeout=10,
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)
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resp.raise_for_status()
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cur = resp.json()["current"]
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code = cur.get("weather_code", 0)
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return {
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"city": city["name"],
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"country": city["country"],
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"temperature": round(cur["temperature_2m"], 1),
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"feels_like": round(cur["apparent_temperature"], 1),
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"humidity": int(cur["relative_humidity_2m"]),
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"pressure": int(cur["surface_pressure"]),
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"wind_speed": round(cur["wind_speed_10m"], 1),
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"description": WMO_DESCRIPTIONS.get(code, f"wmo:{code}"),
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"owm_timestamp": int(time.time()),
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}
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def main(event, context):
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sqs_endpoint = os.environ.get(
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"SQS_ENDPOINT", "http://shared-sqs.shared-sqs.svc.cluster.local:4100"
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)
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access_key = os.environ.get("SQS_ACCESS_KEY", "SSAK-a9964f2723bc6d347f48d153")
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secret_key = os.environ.get(
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"SQS_SECRET_KEY",
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"2069e1ce05aaf94efe07aee18697352879e7626df239a9c71af0e9650b43bdd6",
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)
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queue_name = os.environ.get("SQS_QUEUE_NAME", "weather-data")
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cfg = Config(signature_version="s3v4", s3={"addressing_style": "path"})
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sqs = boto3.client(
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"sqs",
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endpoint_url=sqs_endpoint,
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aws_access_key_id=access_key,
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aws_secret_access_key=secret_key,
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region_name="us-east-1",
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config=cfg,
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)
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try:
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queue_url = sqs.get_queue_url(QueueName=queue_name)["QueueUrl"]
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except Exception:
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queue_url = sqs.create_queue(QueueName=queue_name)["QueueUrl"]
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results = []
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for city in CITIES:
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try:
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msg = fetch_city(city)
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sqs.send_message(QueueUrl=queue_url, MessageBody=json.dumps(msg))
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results.append({"city": msg["city"], "temp": msg["temperature"]})
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except Exception as e:
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results.append({"city": city["name"], "error": str(e)})
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return {"status": "ok", "sent": len(results), "results": results}
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