264 lines
14 KiB
Python
264 lines
14 KiB
Python
'''
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Uses the VisualCrossing API and Postgres/PostGIS to source local weather forecasts and history.
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'''
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import asyncio
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from fastapi import APIRouter, HTTPException
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from fastapi import HTTPException
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from asyncpg.cursor import Cursor
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from httpx import AsyncClient
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from typing import Dict
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from datetime import datetime
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from shapely.wkb import loads
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from binascii import unhexlify
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from sijapi import L, VISUALCROSSING_API_KEY, TZ, DB
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from sijapi.utilities import haversine
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from sijapi.routers import locate
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weather = APIRouter()
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async def get_weather(date_time: datetime, latitude: float, longitude: float):
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# request_date_str = date_time.strftime("%Y-%m-%d")
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L.DEBUG(f"Called get_weather with lat: {latitude}, lon: {longitude}, date_time: {date_time}")
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daily_weather_data = await get_weather_from_db(date_time, latitude, longitude)
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fetch_new_data = True
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if daily_weather_data:
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try:
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L.DEBUG(f"Daily weather data from db: {daily_weather_data}")
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last_updated = str(daily_weather_data['DailyWeather'].get('last_updated'))
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last_updated = await locate.localize_datetime(last_updated)
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stored_loc_data = unhexlify(daily_weather_data['DailyWeather'].get('location'))
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stored_loc = loads(stored_loc_data)
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stored_lat = stored_loc.y
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stored_lon = stored_loc.x
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stored_ele = stored_loc.z
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hourly_weather = daily_weather_data.get('HourlyWeather')
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L.DEBUG(f"Hourly: {hourly_weather}")
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L.DEBUG(f"\nINFO:\nlast updated {last_updated}\nstored lat: {stored_lat} - requested lat: {latitude}\nstored lon: {stored_lon} - requested lon: {longitude}\n")
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request_haversine = haversine(latitude, longitude, stored_lat, stored_lon)
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L.DEBUG(f"\nINFO:\nlast updated {last_updated}\nstored lat: {stored_lat} - requested lat: {latitude}\nstored lon: {stored_lon} - requested lon: {longitude}\nHaversine: {request_haversine}")
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if last_updated and (date_time <= datetime.now(TZ) and last_updated > date_time and request_haversine < 8) and hourly_weather and len(hourly_weather) > 0:
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L.DEBUG(f"We can use existing data... :')")
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fetch_new_data = False
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except Exception as e:
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L.ERR(f"Error in get_weather: {e}")
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if fetch_new_data:
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L.DEBUG(f"We require new data!")
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request_date_str = date_time.strftime("%Y-%m-%d")
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url = f"https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/{latitude},{longitude}/{request_date_str}/{request_date_str}?unitGroup=us&key={VISUALCROSSING_API_KEY}"
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try:
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async with AsyncClient() as client:
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response = await client.get(url)
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if response.status_code == 200:
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L.DEBUG(f"Successfully obtained data from VC...")
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try:
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weather_data = response.json()
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store_result = await store_weather_to_db(date_time, weather_data)
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if store_result == "SUCCESS":
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L.DEBUG(f"New weather data for {request_date_str} stored in database...")
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else:
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L.ERR(f"Failed to store weather data for {request_date_str} in database! {store_result}")
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L.DEBUG(f"Attempting to retrieve data for {date_time}, {latitude}, {longitude}")
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daily_weather_data = await get_weather_from_db(date_time, latitude, longitude)
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if daily_weather_data is not None:
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return daily_weather_data
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else:
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raise HTTPException(status_code=500, detail="Weather data was not properly stored.")
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except Exception as e:
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L.ERR(f"Problem parsing VC response or storing data: {e}")
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raise HTTPException(status_code=500, detail="Weather data was not properly stored.")
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else:
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L.ERR(f"Failed to fetch weather data: {response.status_code}, {response.text}")
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except Exception as e:
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L.ERR(f"Exception during API call: {e}")
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return daily_weather_data
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async def store_weather_to_db(date_time: datetime, weather_data: dict):
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async with DB.get_connection() as conn:
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try:
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day_data = weather_data.get('days')[0]
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L.DEBUG(f"day_data.get('sunrise'): {day_data.get('sunrise')}")
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# Handle preciptype and stations as PostgreSQL arrays
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preciptype_array = day_data.get('preciptype', []) or []
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stations_array = day_data.get('stations', []) or []
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date_str = date_time.strftime("%Y-%m-%d")
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# Get location details from weather data if available
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longitude = weather_data.get('longitude')
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latitude = weather_data.get('latitude')
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elevation = locate.get_elevation(latitude, longitude) # 152.4 # default until we add a geocoder that can look up actual elevation; weather_data.get('elevation') # assuming 'elevation' key, replace if different
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location_point = f"POINTZ({longitude} {latitude} {elevation})" if longitude and latitude and elevation else None
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# Correct for the datetime objects
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day_data['datetime'] = await locate.localize_datetime(day_data.get('datetime')) #day_data.get('datetime'))
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day_data['sunrise'] = day_data['datetime'].replace(hour=int(day_data.get('sunrise').split(':')[0]), minute=int(day_data.get('sunrise').split(':')[1]))
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day_data['sunset'] = day_data['datetime'].replace(hour=int(day_data.get('sunset').split(':')[0]), minute=int(day_data.get('sunset').split(':')[1]))
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daily_weather_params = (
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day_data.get('sunrise'), day_data.get('sunriseEpoch'),
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day_data.get('sunset'), day_data.get('sunsetEpoch'),
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day_data.get('description'), day_data.get('tempmax'),
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day_data.get('tempmin'), day_data.get('uvindex'),
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day_data.get('winddir'), day_data.get('windspeed'),
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day_data.get('icon'), datetime.now(),
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day_data.get('datetime'), day_data.get('datetimeEpoch'),
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day_data.get('temp'), day_data.get('feelslikemax'),
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day_data.get('feelslikemin'), day_data.get('feelslike'),
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day_data.get('dew'), day_data.get('humidity'),
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day_data.get('precip'), day_data.get('precipprob'),
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day_data.get('precipcover'), preciptype_array,
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day_data.get('snow'), day_data.get('snowdepth'),
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day_data.get('windgust'), day_data.get('pressure'),
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day_data.get('cloudcover'), day_data.get('visibility'),
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day_data.get('solarradiation'), day_data.get('solarenergy'),
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day_data.get('severerisk', 0), day_data.get('moonphase'),
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day_data.get('conditions'), stations_array, day_data.get('source'),
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location_point
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)
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except Exception as e:
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L.ERR(f"Failed to prepare database query in store_weather_to_db! {e}")
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try:
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daily_weather_query = '''
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INSERT INTO DailyWeather (
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sunrise, sunriseEpoch, sunset, sunsetEpoch, description,
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tempmax, tempmin, uvindex, winddir, windspeed, icon, last_updated,
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datetime, datetimeEpoch, temp, feelslikemax, feelslikemin, feelslike,
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dew, humidity, precip, precipprob, precipcover, preciptype,
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snow, snowdepth, windgust, pressure, cloudcover, visibility,
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solarradiation, solarenergy, severerisk, moonphase, conditions,
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stations, source, location
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) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38)
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RETURNING id
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'''
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# Debug logs for better insights
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# L.DEBUG("Executing query: %s", daily_weather_query)
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# L.DEBUG("With parameters: %s", daily_weather_params)
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# Execute the query to insert daily weather data
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async with conn.transaction():
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daily_weather_id = await conn.fetchval(daily_weather_query, *daily_weather_params)
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if 'hours' in day_data:
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for hour_data in day_data['hours']:
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try:
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await asyncio.sleep(0.1)
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# hour_data['datetime'] = parse_date(hour_data.get('datetime'))
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hour_timestamp = date_str + ' ' + hour_data['datetime']
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hour_data['datetime'] = await locate.localize_datetime(hour_timestamp)
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L.DEBUG(f"Processing hours now...")
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# L.DEBUG(f"Processing {hour_data['datetime']}")
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hour_preciptype_array = hour_data.get('preciptype', []) or []
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hour_stations_array = hour_data.get('stations', []) or []
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hourly_weather_params = (
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daily_weather_id,
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hour_data['datetime'],
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hour_data.get('datetimeEpoch'),
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hour_data['temp'],
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hour_data['feelslike'],
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hour_data['humidity'],
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hour_data['dew'],
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hour_data['precip'],
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hour_data['precipprob'],
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hour_preciptype_array,
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hour_data['snow'],
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hour_data['snowdepth'],
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hour_data['windgust'],
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hour_data['windspeed'],
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hour_data['winddir'],
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hour_data['pressure'],
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hour_data['cloudcover'],
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hour_data['visibility'],
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hour_data['solarradiation'],
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hour_data['solarenergy'],
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hour_data['uvindex'],
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hour_data.get('severerisk', 0),
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hour_data['conditions'],
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hour_data['icon'],
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hour_stations_array,
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hour_data.get('source', ''),
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)
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try:
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hourly_weather_query = '''
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INSERT INTO HourlyWeather (daily_weather_id, datetime, datetimeEpoch, temp, feelslike, humidity, dew, precip, precipprob,
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preciptype, snow, snowdepth, windgust, windspeed, winddir, pressure, cloudcover, visibility, solarradiation, solarenergy,
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uvindex, severerisk, conditions, icon, stations, source)
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VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26)
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RETURNING id
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'''
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# Debug logs for better insights
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# L.DEBUG("Executing query: %s", hourly_weather_query)
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# L.DEBUG("With parameters: %s", hourly_weather_params)
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# Execute the query to insert hourly weather data
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async with conn.transaction():
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hourly_weather_id = await conn.fetchval(hourly_weather_query, *hourly_weather_params)
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# L.ERR(f"\n{hourly_weather_id}")
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except Exception as e:
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L.ERR(f"EXCEPTION: {e}")
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except Exception as e:
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L.ERR(f"EXCEPTION: {e}")
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return "SUCCESS"
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except Exception as e:
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L.ERR(f"Error in dailyweather storage: {e}")
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async def get_weather_from_db(date_time: datetime, latitude: float, longitude: float):
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async with DB.get_connection() as conn:
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query_date = date_time.date()
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try:
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# Query to get daily weather data
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query = '''
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SELECT DW.* FROM DailyWeather DW
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WHERE DW.datetime::date = $1
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AND ST_DWithin(DW.location::geography, ST_MakePoint($2,$3)::geography, 8046.72)
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ORDER BY ST_Distance(DW.location, ST_MakePoint($4, $5)::geography) ASC
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LIMIT 1
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'''
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daily_weather_data = await conn.fetchrow(query, query_date, longitude, latitude, longitude, latitude)
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if daily_weather_data is None:
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L.DEBUG(f"No daily weather data retrieved from database.")
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return None
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# else:
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# L.DEBUG(f"Daily_weather_data: {daily_weather_data}")
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# Query to get hourly weather data
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query = '''
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SELECT HW.* FROM HourlyWeather HW
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WHERE HW.daily_weather_id = $1
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'''
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hourly_weather_data = await conn.fetch(query, daily_weather_data['id'])
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day: Dict = {
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'DailyWeather': dict(daily_weather_data),
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'HourlyWeather': [dict(row) for row in hourly_weather_data],
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}
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# L.DEBUG(f"day: {day}")
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return day
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except Exception as e:
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L.ERR(f"Unexpected error occurred: {e}")
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