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a6109360eb WIP: refactor 2025-09-01 09:58:58 -04:00

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main.py
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@ -1,230 +1,535 @@
import asyncio import asyncio
from datetime import datetime, timedelta from datetime import datetime, timedelta
from typing import TypedDict
import functools import functools
import logging import logging
import os import os
import pprint
import zoneinfo import zoneinfo
from urllib.parse import urljoin, urlencode
from fastapi import FastAPI, HTTPException from fastapi import FastAPI, HTTPException
from cachetools import TTLCache from cachetools import TTLCache
import httpx import httpx
pp = pprint.PrettyPrinter()
logger = logging.getLogger("uvicorn.error") logger = logging.getLogger("uvicorn.error")
eastern = zoneinfo.ZoneInfo("America/New_York")
app = FastAPI() EASTERN_TZ = zoneinfo.ZoneInfo("America/New_York")
CACHE_TTL_SECONDS = 900 # 15 minutes
weather_cache = TTLCache(maxsize=100, ttl=900) # 15 minutes CACHE_MAX_SIZE = 100
pollen_cache = TTLCache(maxsize=100, ttl=900) # 15 minutes POLLEN_MAX_INDEX = 12.0
HTTP_TIMEOUT = 10.0
CONFIG = { DEFAULT_ZIP_CODE = "01970" # salem, ma
# salem, ma DEFAULT_LATITUDE = "42.3554334"
"zip": "01970", DEFAULT_LONGITUDE = "-71.060511"
"lat": "42.3554334",
"lon": "-71.060511",
"weather_api_key": os.environ.get("WEATHER_API_KEY", ""),
"auth_token": os.environ["AUTH_TOKEN"],
}
def format_date(dt): def get_required_env(key: str) -> str:
dt = dt.astimezone(eastern) """Get required environment variable or raise error."""
return dt.strftime("%a %d").lower() value = os.environ.get(key)
if not value:
raise ValueError(f"Required environment variable {key} is not set")
return value
def format_time(dt): class WeatherCondition(TypedDict):
dt = dt.astimezone(eastern) description: str
return dt.strftime("%I:%M%p").lower() main: str
id: int
icon: str
def format_datetime(dt): class CurrentWeather(TypedDict):
dt = dt.astimezone(eastern) dt: int
return f"{format_date(dt)} {format_time(dt)}" sunrise: int
sunset: int
temp: float
feels_like: float
pressure: int
humidity: int
weather: list[WeatherCondition]
def relative_day_to_date(rel_dt): class DailyTemperature(TypedDict):
dt = datetime.now() min: float
day = timedelta(days=1) max: float
match rel_dt.lower().strip():
case "yesterday":
return format_date(dt - day)
case "today":
return format_date(dt)
case "tomorrow":
return format_date(dt + day)
case passthrough:
return passthrough
def build_daily_data(date, pollen_periods, weather_periods): class DailyWeather(TypedDict):
daily_data = {} dt: int
if date in pollen_periods: sunrise: int
daily_data["pollen"] = pollen_periods[date]["index"] sunset: int
if date in weather_periods: temp: DailyTemperature
weather_data = weather_periods[date] humidity: int
daily_data.update({ pressure: int
"low": weather_data["low"], weather: list[WeatherCondition]
"high": weather_data["high"],
"desc": weather_data["desc"],
"humidity": weather_data["humidity"],
"sunrise": weather_data["sunrise"],
"sunset": weather_data["sunset"],
"pressure": weather_data["pressure"],
})
return daily_data
def fallback_handler(func): class WeatherApiResponse(TypedDict):
current: CurrentWeather
daily: list[DailyWeather]
class PollenLocation(TypedDict):
periods: list[dict[str, str | int | float]]
class PollenApiResponse(TypedDict):
ForecastDate: str
Location: PollenLocation
class WeatherPeriod(TypedDict):
low: int
high: int
desc: str
humidity: int
sunrise: str
sunset: str
pressure: int
period: str
class PollenPeriod(TypedDict):
index: int
period: str
class WeatherReport(TypedDict):
forecast_date: str
current_temp: int
current_feels_like: int
current_humidity: int
sunrise: str
sunset: str
current_pressure: int
current_desc: str
periods: list[WeatherPeriod]
class PollenReport(TypedDict):
forecast_date: str
periods: list[PollenPeriod]
class CurrentWeatherData(TypedDict):
temp: int
feels_like: int
desc: str
humidity: int
pressure: int
class DailyData(TypedDict, total=False):
pollen: int
low: int
high: int
desc: str
humidity: int
sunrise: str
sunset: str
pressure: int
class FinalReport(TypedDict):
fetched_at: str
current: CurrentWeatherData
today: DailyData
tomorrow: DailyData
app = FastAPI(title="trmnl weather & pollen report")
weather_cache: TTLCache = TTLCache(maxsize=CACHE_MAX_SIZE, ttl=CACHE_TTL_SECONDS)
pollen_cache: TTLCache = TTLCache(maxsize=CACHE_MAX_SIZE, ttl=CACHE_TTL_SECONDS)
class Config:
"""Application configuration."""
def __init__(
self,
zip_code: str,
latitude: str,
longitude: str,
weather_api_key: str,
auth_token: str,
):
self.zip_code = zip_code
self.latitude = latitude
self.longitude = longitude
self.weather_api_key = weather_api_key
self.auth_token = auth_token
config = Config(
zip_code=DEFAULT_ZIP_CODE,
latitude=DEFAULT_LATITUDE,
longitude=DEFAULT_LONGITUDE,
weather_api_key=get_required_env("WEATHER_API_KEY"),
auth_token=get_required_env("AUTH_TOKEN"),
)
class DateTimeFormatter:
"""Utility class for datetime formatting."""
@staticmethod
def format_date(dt: datetime) -> str:
"""Format datetime as abbreviated date string (e.g., 'mon 15')."""
dt = dt.astimezone(EASTERN_TZ)
return dt.strftime("%a %d").lower()
@staticmethod
def format_time(dt: datetime) -> str:
"""Format datetime as time string (e.g., '02:30pm')."""
dt = dt.astimezone(EASTERN_TZ)
return dt.strftime("%I:%M%p").lower()
@staticmethod
def format_datetime(dt: datetime) -> str:
"""Format datetime as date and time string."""
return f"{DateTimeFormatter.format_date(dt)} {DateTimeFormatter.format_time(dt)}"
@staticmethod
def relative_day_to_date(relative_day: str) -> str:
"""Convert relative day string to formatted date string."""
now = datetime.now()
day_delta = timedelta(days=1)
relative_day = relative_day.lower().strip()
if relative_day == "yesterday":
return DateTimeFormatter.format_date(now - day_delta)
elif relative_day == "today":
return DateTimeFormatter.format_date(now)
elif relative_day == "tomorrow":
return DateTimeFormatter.format_date(now + day_delta)
else:
return relative_day
class WeatherData:
"""Data model for weather information."""
def __init__(self, raw_data: WeatherApiResponse):
self.raw_data = raw_data
self._validate_data()
def _validate_data(self) -> None:
"""Validate required fields in weather data."""
required_fields = ["current", "daily"]
for field in required_fields:
if field not in self.raw_data:
raise ValueError(f"Missing required field in weather data: {field}")
@property
def current(self) -> CurrentWeather:
"""Get current weather data."""
return self.raw_data["current"]
@property
def daily_periods(self) -> list[DailyWeather]:
"""Get daily forecast periods (limited to next 2 days)."""
return self.raw_data["daily"][:2]
class PollenData:
"""Data model for pollen information."""
def __init__(self, raw_data: PollenApiResponse):
self.raw_data = raw_data
self._validate_data()
def _validate_data(self) -> None:
"""Validate required fields in pollen data."""
required_fields = ["ForecastDate", "Location"]
for field in required_fields:
if field not in self.raw_data:
raise ValueError(f"Missing required field in pollen data: {field}")
@property
def forecast_date(self) -> str:
"""Get formatted forecast date."""
dt = datetime.fromisoformat(self.raw_data["ForecastDate"])
return DateTimeFormatter.format_datetime(dt)
@property
def periods(self) -> list[PollenPeriod]:
"""Get pollen periods for today and tomorrow."""
periods = self.raw_data["Location"].get("periods", [])
valid_periods: list[PollenPeriod] = []
for period in periods:
period_type = str(period.get("Type", "")).lower().strip()
if period_type in ["today", "tomorrow"]:
index_value = float(period.get("Index", 0))
# convert pollen index to percentage scale
pollen_percentage = int(index_value / POLLEN_MAX_INDEX * 100)
valid_periods.append(
PollenPeriod(
{
"index": pollen_percentage,
"period": DateTimeFormatter.relative_day_to_date(period_type),
}
)
)
return valid_periods
def error_handler(func):
"""Decorator to handle exceptions in async functions."""
@functools.wraps(func) @functools.wraps(func)
async def wrapper(*args, **kwargs): async def wrapper(*args, **kwargs):
try: try:
result = await func(*args, **kwargs) return await func(*args, **kwargs)
except Exception as e: except Exception as e:
logger.exception(e) logger.exception(f"Error in {func.__name__}: {e}")
return [] return []
return result
return wrapper return wrapper
@fallback_handler class WeatherService:
async def fetch_pollen(zipcode): """Service for fetching weather data."""
if zipcode in pollen_cache:
return pollen_cache[zipcode]
url = f"https://www.pollen.com/api/forecast/current/pollen/{zipcode}" @staticmethod
headers = { @error_handler
"User-Agent": ( async def fetch_weather(latitude: str, longitude: str, api_key: str) -> list[WeatherReport]:
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) " """Fetch weather data from OpenWeatherMap API."""
"AppleWebKit/537.36 (KHTML, like Gecko) " cache_key = (latitude, longitude)
"Chrome/123.0.0.0 Safari/537.36"
), if cache_key in weather_cache:
"Accept": "application/json, text/plain, */*", return weather_cache[cache_key]
"Referer": url,
"Cookie": f"geo={zipcode}", base_url = "https://api.openweathermap.org/data/3.0/onecall"
} params = {
async with httpx.AsyncClient(timeout=10.0) as client: "lat": latitude,
response = await client.get(url, headers=headers) "lon": longitude,
response.raise_for_status() "appid": api_key,
data = response.json() "units": "imperial",
result = [ }
{ url = f"{base_url}?{urlencode(params)}"
"forecast_date": format_datetime(
datetime.fromisoformat(data["ForecastDate"]) async with httpx.AsyncClient(timeout=HTTP_TIMEOUT) as client:
), response = await client.get(url)
"periods": [ response.raise_for_status()
{ raw_data = response.json()
"index": int(d["Index"] / 12. * 100),
"period": relative_day_to_date(d["Type"]), weather_data = WeatherData(raw_data)
} result = WeatherService._format_weather_data(weather_data)
for d in data["Location"]["periods"]
if d["Type"].lower().strip() in ["today", "tomorrow"] weather_cache[cache_key] = result
], return result
}
@staticmethod
def _format_weather_data(weather_data: WeatherData) -> list[WeatherReport]:
"""Format weather data for API response."""
current = weather_data.current
daily_periods = weather_data.daily_periods
current_dt = datetime.fromtimestamp(current["dt"])
return [
WeatherReport(
{
"forecast_date": DateTimeFormatter.format_datetime(current_dt),
"current_temp": int(round(current["temp"])),
"current_feels_like": int(round(current["feels_like"])),
"current_humidity": current["humidity"],
"sunrise": DateTimeFormatter.format_time(
datetime.fromtimestamp(current["sunrise"])
),
"sunset": DateTimeFormatter.format_time(
datetime.fromtimestamp(current["sunset"])
),
"current_pressure": current["pressure"],
"current_desc": current["weather"][0]["description"],
"periods": [
WeatherService._format_daily_period(period) for period in daily_periods
],
}
)
] ]
pollen_cache[zipcode] = result
return result
@staticmethod
def _format_daily_period(period: DailyWeather) -> WeatherPeriod:
"""Format a single daily weather period."""
period_dt = datetime.fromtimestamp(period["dt"])
@fallback_handler return WeatherPeriod(
async def fetch_weather(lat, lon, weather_api_key):
cache_key = (lat, lon)
if cache_key in weather_cache:
return weather_cache[cache_key]
url = f"https://api.openweathermap.org/data/3.0/onecall?lat={lat}&lon={lon}&appid={weather_api_key}&units=imperial"
async with httpx.AsyncClient(timeout=10.0) as client:
response = await client.get(url)
response.raise_for_status()
data = response.json()
current, periods = data["current"], data["daily"][:2]
result = [
{ {
"forecast_date": format_datetime(datetime.fromtimestamp(current["dt"])), "low": int(round(period["temp"]["min"])),
"current_temp": int(round(current["temp"])), "high": int(round(period["temp"]["max"])),
"current_feels_like": int(round(current["feels_like"])), "desc": period["weather"][0]["description"],
"current_humidity": current["humidity"], "humidity": period["humidity"],
"sunrise": format_time(datetime.fromtimestamp(current["sunrise"])), "sunrise": DateTimeFormatter.format_time(datetime.fromtimestamp(period["sunrise"])),
"sunset": format_time(datetime.fromtimestamp(current["sunset"])), "sunset": DateTimeFormatter.format_time(datetime.fromtimestamp(period["sunset"])),
"current_pressure": current["pressure"], "pressure": period["pressure"],
"current_desc": current["weather"][0]["description"], "period": DateTimeFormatter.format_date(period_dt),
"periods": [
{
"low": int(round(p["temp"]["min"])),
"high": int(round(p["temp"]["max"])),
"desc": p["weather"][0]["description"],
"humidity": p["humidity"],
"sunrise": format_time(datetime.fromtimestamp(p["sunrise"])),
"sunset": format_time(datetime.fromtimestamp(p["sunset"])),
"pressure": p["pressure"],
"period": format_date(datetime.fromtimestamp(p["dt"])),
}
for p in periods
],
} }
] )
weather_cache[cache_key] = result
return result
class PollenService:
"""Service for fetching pollen data."""
@staticmethod
@error_handler
async def fetch_pollen(zip_code: str) -> list[PollenReport]:
"""Fetch pollen data from pollen.com API."""
if zip_code in pollen_cache:
return pollen_cache[zip_code]
base_url = "https://www.pollen.com/api/forecast/current/pollen/"
url = urljoin(base_url, zip_code)
headers = {
"User-Agent": (
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/123.0.0.0 Safari/537.36"
),
"Accept": "application/json, text/plain, */*",
"Referer": url,
"Cookie": f"geo={zip_code}",
}
async with httpx.AsyncClient(timeout=HTTP_TIMEOUT) as client:
response = await client.get(url, headers=headers)
response.raise_for_status()
raw_data = response.json()
pollen_data = PollenData(raw_data)
result = [
PollenReport(
{
"forecast_date": pollen_data.forecast_date,
"periods": pollen_data.periods,
}
)
]
pollen_cache[zip_code] = result
return result
class DataAggregator:
"""Service for aggregating weather and pollen data."""
@staticmethod
def build_daily_data(
date: str,
pollen_periods: dict[str, PollenPeriod],
weather_periods: dict[str, WeatherPeriod],
) -> DailyData:
"""Build daily data combining weather and pollen information."""
daily_data: DailyData = {}
if date in pollen_periods:
daily_data["pollen"] = pollen_periods[date]["index"]
if date in weather_periods:
weather_data = weather_periods[date]
daily_data.update(
{
"low": weather_data["low"],
"high": weather_data["high"],
"desc": weather_data["desc"],
"humidity": weather_data["humidity"],
"sunrise": weather_data["sunrise"],
"sunset": weather_data["sunset"],
"pressure": weather_data["pressure"],
}
)
return daily_data
@staticmethod
def create_periods_lookup(
pollen_data: list[PollenReport], weather_data: list[WeatherReport]
) -> tuple[dict[str, PollenPeriod], dict[str, WeatherPeriod], CurrentWeatherData]:
"""Create lookup dictionaries for pollen and weather periods."""
pollen_periods: dict[str, PollenPeriod] = {}
weather_periods: dict[str, WeatherPeriod] = {}
if pollen_data and pollen_data[0].get("periods"):
pollen_periods = {p["period"]: p for p in pollen_data[0]["periods"]}
if weather_data and weather_data[0].get("periods"):
weather_periods = {p["period"]: p for p in weather_data[0]["periods"]}
current_weather_info = CurrentWeatherData(
{
"temp": 0,
"feels_like": 0,
"desc": "",
"humidity": 0,
"pressure": 0,
}
)
if weather_data and weather_data[0]:
data = weather_data[0]
current_weather_info = CurrentWeatherData(
{
"temp": data["current_temp"],
"feels_like": data["current_feels_like"],
"desc": data["current_desc"],
"humidity": data["current_humidity"],
"pressure": data["current_pressure"],
}
)
return pollen_periods, weather_periods, current_weather_info
@app.get("/") @app.get("/")
async def read_root(token: str): async def get_weather_pollen_report(token: str) -> FinalReport:
if token != CONFIG["auth_token"]: """
raise HTTPException(status_code=403, detail="unauthorized") Get weather and pollen report.
[ Args:
pollen, token: Authentication token
weather,
] = await asyncio.gather( Returns:
fetch_pollen(CONFIG["zip"]), Dictionary containing current, today, and tomorrow weather/pollen data
fetch_weather(CONFIG["lat"], CONFIG["lon"], CONFIG["weather_api_key"]),
Raises:
HTTPException: If authentication fails
"""
if token != config.auth_token:
raise HTTPException(status_code=403, detail="Unauthorized")
pollen_data, weather_data = await asyncio.gather(
PollenService.fetch_pollen(config.zip_code),
WeatherService.fetch_weather(config.latitude, config.longitude, config.weather_api_key),
) )
pollen_periods = {p["period"]: p for p in pollen[0]["periods"]} if pollen and pollen[0]["periods"] else {} pollen_periods, weather_periods, current_weather_info = DataAggregator.create_periods_lookup(
weather_periods = {p["period"]: p for p in weather[0]["periods"]} if weather and weather[0]["periods"] else {} pollen_data, weather_data
)
# Add current weather data as a "current" period now = datetime.now()
if weather and weather[0]: today_date = DateTimeFormatter.format_date(now)
data = weather[0] tomorrow_date = DateTimeFormatter.format_date(now + timedelta(days=1))
weather_periods["current"] = {
"period": "current", result: FinalReport = FinalReport(
"temp": data["current_temp"], {
"feels_like": data["current_feels_like"], "fetched_at": DateTimeFormatter.format_datetime(now),
"humidity": data["current_humidity"], "current": current_weather_info,
"pressure": data["current_pressure"], "today": DailyData({}),
"desc": data["current_desc"], "tomorrow": DailyData({}),
"sunrise": data["sunrise"],
"sunset": data["sunset"]
} }
)
today_date = format_date(datetime.now()) today_data = DataAggregator.build_daily_data(today_date, pollen_periods, weather_periods)
tomorrow_date = format_date(datetime.now() + timedelta(days=1))
result = {
"fetched_at": format_datetime(datetime.now()),
"current": {},
"today": {},
"tomorrow": {},
}
if "current" in weather_periods:
weather_data = weather_periods["current"]
result["current"] = {
"temp": weather_data["temp"],
"feels_like": weather_data["feels_like"],
"desc": weather_data["desc"],
"humidity": weather_data["humidity"],
"pressure": weather_data["pressure"]
}
today_data = build_daily_data(today_date, pollen_periods, weather_periods)
if today_data: if today_data:
result["today"] = today_data result["today"] = today_data
tomorrow_data = build_daily_data(tomorrow_date, pollen_periods, weather_periods) tomorrow_data = DataAggregator.build_daily_data(tomorrow_date, pollen_periods, weather_periods)
if tomorrow_data: if tomorrow_data:
result["tomorrow"] = tomorrow_data result["tomorrow"] = tomorrow_data