Update temp.py
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8
temp.py
8
temp.py
@@ -5,7 +5,7 @@ from datetime import datetime, timedelta
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import pytz
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# Fetch data from NOAA Radar API
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response = requests.get('https://api.weather.gov/radar/stations/SITE')
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response = requests.get('https://api.weather.gov/radar/stations/KBIS')
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data = response.json()
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# Extract relevant information
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@@ -27,7 +27,7 @@ measurement = 'radar_station'
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time = current_time.isoformat()
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# Create InfluxDB client
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client = InfluxDBClient(url="", token="", org="")
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client = InfluxDBClient(url="http://10.10.3.212:8086", token="TOKEN GOES HERE", org="ORG NAME HERE")
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# Create write API
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write_api = client.write_api(write_options=SYNCHRONOUS)
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@@ -49,7 +49,7 @@ fields = {
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"data_age_minutes": data_age,
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# Check if volume_coverage_pattern starts with 'R' or 'L', remove prefix if exists and convert to float
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"vcp": float(str(radar_data["rda"]["properties"]["volumeCoveragePattern"])[1:]) if str(radar_data["rda"]["properties"]["volumeCoveragePattern"]).startswith('R') or str(radar_data["rda"]["properties"]["volumeCoveragePattern"]).startswith('L') else float(rad>
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"vcp": float(str(radar_data["rda"]["properties"]["volumeCoveragePattern"])[1:]) if str(radar_data["rda"]["properties"]["volumeCoveragePattern"]).startswith('R') or str(radar_data["rda"]["properties"]["volumeCoveragePattern"]).startswith('L') else float(radar_data["rda"]["properties"]["volumeCoveragePattern"]),
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# Add more fields as needed
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}
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@@ -58,4 +58,4 @@ fields = {
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point = Point(measurement).time(time).tag("id", radar_data["id"])
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for field, value in fields.items():
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point.field(field, value)
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write_api.write("Bucket", "Org", point)
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write_api.write("BUCKET NAME HERE", "ORG NAME HERE", point)
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