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2026-09-28 17:10:20 +03:00
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.env.example
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WEATHER_API_KEY=openweathermap_api_key
WEATHER_API_BASE_URL=https://api.openweathermap.org/data/2.5/forecast
GEO_API_URL=https://ipinfo.io/json
GEO_API_FALLBACK_CITY=Москва
DB_URL=sqlite:///weather.db
# DB_URL=postgresql://{DB_USER}:{DB_PASSWORD}@localhost:5432/weather
DB_USER=
DB_PASSWORD=
ENVIRONMENT=example
OUTPUT_FILE=weather_report.md
CACHE_DIR=.cached
.gitignore
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.env
*.db
weather_report.md
.cached/
*.docx
*.~lock*
__pycache__/
*.py[cod]
.venv/
.python-version
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3.12
README.md
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# Прогноз погоды (лабораторная работа)
<!-- краткое описание проекта: что делает программа, какие технологии и API используются; -->
Автоматическое определение местоположения через IP-геолокацию, получение прогноза погоды на сегодня + 3 дня из OpenWeatherMap, сбор 3-часовых интервалов в дневные сводки, сохранение в БД, выгрузка в Markdown-отчет
## Технологии и API
- **[uv](https://docs.astral.sh/uv/)** - менеджер пакетов и виртуального окружения
- **OpenWeatherMap** - API погоды
- **ipinfo.io/freeipapi.com/ipapi.co** - API местоположения
- **requests** - HTTP-клиент
- **SQLAlchemy** - ORM
- **python-dotenv** - конфигурация через переменные окружения
- **basedpyright (strict)** — строгая типизация кода
## Установка
<!-- инструкцию по установке: клонирование репозитория, создание виртуального окружения, установка зависимостей -->
```bash
git clone https://vantablacktea.ddns.net/Agzamus/weather-fetch-lab
cd weather-fetch-lab
uv sync
```
## Настройка
<!-- инструкцию по настройке: создание файла `.env` по шаблону `.env.example`, регистрация на [openweathermap.org] для получения бесплатного API‑ключа, заполнение параметров БД; -->
1. Зарегистрироватся на [openweathermap.org](https://openweathermap.org/api) и получить API-ключ
2. Создать файл `.env` на основе `.env.example`
Минимальная конфигурация:
```env
WEATHER_API_KEY=ваш_ключ_из_openweathermap
WEATHER_API_BASE_URL=https://api.openweathermap.org/data/2.5/forecast
GEO_API_URL=https://ipinfo.io/json
GEO_API_FALLBACK_CITY=Москва
DB_URL=sqlite:///weather.db
OUTPUT_FILE=weather_report.md
```
- `GEO_API_FALLBACK_CITY` - fallback, если API местоположения недоступен
- `CACHE_DIR` - директория кеша HTTP-ответов
- `DB_USER` / `DB_PASSWORD` - логин/пароль БД. Подставляются в DB_URL, например `DB_URL=postgresql://{DB_USER}:{DB_PASSWORD}@localhost:5432/weather`
## Запуск
<!-- инструкцию по запуску: команда для выполнения (`python main.py`); -->
```bash
uv run python main.py
```
## Проверка типов
```bash
uv run basedpyright
```
## Структура проекта
<!-- описание структуры проекта: кратко о назначении каждого модуля; -->
`main.py` - оркестрация всех шагов и краткий отчет в консоль
`geo_locator.py` - определение города и координат по IP
`weather_client.py` - запрос прогноза и статистика
`db_models.py` - таблицы, вставка
`exporter.py` - экспорт данных в Markdown-файл
`cnet.py` - типизированный HTTP-клиент с кешированием
## Пример вывода
<!-- пример ожидаемого вывода (фрагмент Markdown‑таблицы или скриншот консольного отчёта). -->
```
Москва (55.7558, 37.6173)
4 days forecast
records: 4
Exported: weather_report.md
2026-09-17 - 2026-09-20
```
`weather_report.md`:
```markdown
# Прогноз погоды
Автоматически определённая локация: Москва
Период: 2026-09-17 - 2026-09-20
| Дата | Мин. темп. (°C) | Макс. темп. (°C) | Описание | Влажность (%) | Ветер (м/с) |
| ---------- | --------------- | ---------------- | ---------------------- | ------------- | ----------- |
| 2026-09-17 | 5.88 | 15.16 | облачно с прояснениями | 70 | 6.57 |
| 2026-09-18 | 14.92 | 20.67 | облачно с прояснениями | 71 | 5.28 |
| 2026-09-19 | 7.79 | 20.7 | пасмурно | 74 | 6.20 |
| 2026-09-20 | 11.42 | 23.15 | небольшая облачность | 77 | 5.90 |
```
cnet.py
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import hashlib
import json
from json import JSONDecodeError
import os
from pathlib import Path
from typing import cast
import requests
from requests import RequestException
REQUEST_TIMEOUT = 15.0
def as_int(value: object, default: int) -> int:
if isinstance(value, bool):
return default
if isinstance(value, int):
return value
if isinstance(value, str):
try:
return int(value.strip())
except ValueError:
return default
return default
def as_float(value: object, default: float | None = None) -> float | None:
return float(value) if isinstance(value, (int, float)) else default
def as_str(value: object, default: str = "") -> str:
return str(value) if isinstance(value, (str, int, float)) else default
def as_dict(value: object) -> dict[str, object]:
return cast(dict[str, object], value) if isinstance(value, dict) else {}
def as_list(value: object) -> list[object]:
return cast(list[object], value) if isinstance(value, list) else []
class HttpError(Exception):
NO_CODE = 0
def __init__(self, status_code: int, body: object) -> None:
self.status_code = status_code
self.body = body
super().__init__(f"HTTP {status_code}")
def _cache_path(url: str) -> Path:
cdir = Path(os.getenv("CACHE_DIR", ".cached"))
cdir.mkdir(parents=True, exist_ok=True)
url_hash = hashlib.sha256(url.encode("utf-8")).hexdigest()[:16]
path = cdir / f"{url_hash}.json"
return path
def fetch_text(url: str) -> str:
path = _cache_path(url)
try:
if path.exists():
return path.read_text(encoding="utf-8")
except OSError:
pass
try:
resp = requests.get(url, timeout=REQUEST_TIMEOUT)
except RequestException as e:
raise HttpError(HttpError.NO_CODE, str(e)) from e
if resp.status_code != 200:
try:
body: object = resp.json()
except ValueError:
body = resp.text
raise HttpError(resp.status_code, body)
content = resp.text
try:
path.write_text(content, encoding="utf-8")
except OSError:
pass
return content
def fetch_json(url: str) -> object:
raw = fetch_text(url)
try:
return json.loads(raw)
except JSONDecodeError as exc:
raise HttpError(HttpError.NO_CODE, f"invalid JSON: {raw[:200]!r}") from exc
db_models.py
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import datetime
from collections.abc import Sequence
from dataclasses import dataclass
from sqlalchemy import Date, DateTime, Float, Integer, String, UniqueConstraint, select
from sqlalchemy.orm import DeclarativeBase, Mapped, Session, mapped_column
from sqlalchemy.sql import func
class Base(DeclarativeBase):
pass
class WeatherForecast(Base):
__tablename__ = "weather_forecast"
__table_args__ = (
UniqueConstraint("city", "forecast_date", name="unique_city_forecast_date"),
)
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
city: Mapped[str] = mapped_column(String, nullable=False)
forecast_date: Mapped[datetime.date] = mapped_column(Date, nullable=False)
temp_min: Mapped[float] = mapped_column(Float, nullable=False)
temp_max: Mapped[float] = mapped_column(Float, nullable=False)
humidity: Mapped[int] = mapped_column(Integer, nullable=False)
wind_speed: Mapped[float] = mapped_column(Float, nullable=False)
description: Mapped[str | None] = mapped_column(String, nullable=True)
created_at: Mapped[datetime.datetime] = mapped_column(
DateTime, default=func.now(), nullable=False
)
def __repr__(self) -> str:
return (
f"WeatherForecast(id={self.id!r}, city={self.city!r}, "
f"forecast_date={self.forecast_date!r}, temp_min={self.temp_min!r}, "
f"temp_max={self.temp_max!r}, humidity={self.humidity!r}, "
f"wind_speed={self.wind_speed!r}, description={self.description!r})"
)
@dataclass(frozen=True)
class DailyForecast:
city: str
forecast_date: datetime.date
temp_min: float
temp_max: float
humidity: int
wind_speed: float
description: str
def save_forecasts(session: Session, forecasts: Sequence[DailyForecast]) -> int:
if not forecasts:
return 0
known: dict[str, set[datetime.date]] = {}
for city in {f.city for f in forecasts}:
known[city] = set(
session.scalars(
select(WeatherForecast.forecast_date).where(
WeatherForecast.city == city
)
).all()
)
add = [
WeatherForecast(
city=f.city,
forecast_date=f.forecast_date,
temp_min=f.temp_min,
temp_max=f.temp_max,
humidity=f.humidity,
wind_speed=f.wind_speed,
description=f.description,
)
for f in forecasts
if f.forecast_date not in known[f.city]
]
session.add_all(add)
session.commit()
return len(add)
exporter.py
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import datetime
from collections.abc import Sequence
from pathlib import Path
from db_models import WeatherForecast
_HEADERS = [
"Дата",
"Мин. темп. (°C)",
"Макс. темп. (°C)",
"Описание",
"Влажность (%)",
"Ветер (м/с)",
]
def _format_number(value: float) -> str:
return f"{value:g}"
def export_md(records: Sequence[WeatherForecast], output_file: str, city: str) -> None:
rows: list[list[str]] = []
for record in sorted(records, key=lambda r: r.forecast_date):
rows.append(
[
record.forecast_date.isoformat(),
_format_number(record.temp_min),
_format_number(record.temp_max),
record.description or "",
str(record.humidity),
_format_number(record.wind_speed),
]
)
if records:
dates: list[datetime.date] = [r.forecast_date for r in records]
period = f"Период: {min(dates).isoformat()} - {max(dates).isoformat()}"
else:
period = "Период: -"
location = f"Автоматически определённая локация: {city}"
widths = [len(header) for header in _HEADERS]
for row in rows:
for i, cell in enumerate(row):
widths[i] = max(widths[i], len(cell))
def _row(row: list[str]) -> str:
padded = [cell.ljust(widths[i]) for i, cell in enumerate(row)]
return "| " + " | ".join(padded) + " |"
separator = "| " + " | ".join("-" * width for width in widths) + " |"
lines = [
"# Прогноз погоды",
"",
location,
period,
"",
_row(_HEADERS),
separator,
*(_row(row) for row in rows),
"",
]
Path(output_file).write_text("\n".join(lines), encoding="utf-8")
geo_locator.py
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import os
from dataclasses import dataclass
from cnet import HttpError, as_dict, as_float, as_str, fetch_json
class GeoError(Exception): ...
@dataclass(frozen=True)
class Geo:
city: str
lat: float | None
lon: float | None
def _parse_float(text: str) -> float | None:
try:
return float(text)
except ValueError:
return None
def _get_coords(data: dict[str, object]) -> tuple[float, float] | None:
loc = data.get("loc")
if isinstance(loc, str):
parts = loc.split(",", 1)
if len(parts) == 2:
lat = _parse_float(parts[0])
lon = _parse_float(parts[1])
if lat is not None and lon is not None:
return lat, lon
lat = as_float(data.get("latitude"))
lon = as_float(data.get("longitude"))
if lat is not None and lon is not None:
return lat, lon
return None
def get_geo() -> Geo:
url = os.getenv("GEO_API_URL", "https://ipinfo.io/json")
try:
raw = fetch_json(url)
data = as_dict(raw)
city = as_str(data.get("city")) or as_str(data.get("cityName"))
coords = _get_coords(data)
if not city or coords is None:
raise ValueError("city not found")
return Geo(city=city, lat=coords[0], lon=coords[1])
except (HttpError, ValueError) as exc:
fallback = os.getenv("GEO_API_FALLBACK_CITY", "").strip()
if fallback:
print(f"fallback city: {fallback}")
return Geo(city=fallback, lat=None, lon=None)
raise GeoError(f"No geo: {exc}") from exc
main.py
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import os
import sys
from dotenv import load_dotenv
from sqlalchemy import create_engine, select
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.orm import Session
from db_models import Base, WeatherForecast, save_forecasts
from exporter import export_md
from geo_locator import GeoError, get_geo
from weather_client import WeatherAPIError, get_forecast
def main() -> None:
load_dotenv()
try:
geo = get_geo()
print(
f"{geo.city}{'' if geo.lat is None or geo.lon is None else f' ({geo.lat}, {geo.lon})'}"
)
forecasts = get_forecast(geo)
print(f"{len(forecasts)} days forecast")
database_url = os.getenv("DB_URL", "sqlite:///weather.db").format(
DB_USER=os.getenv("DB_USER", ""),
DB_PASSWORD=os.getenv("DB_PASSWORD", ""),
)
city = forecasts[0].city
engine = create_engine(database_url)
Base.metadata.create_all(engine)
with Session(engine) as session:
saved = save_forecasts(session, forecasts)
records = list(
session.scalars(
select(WeatherForecast)
.where(WeatherForecast.city == city)
.order_by(WeatherForecast.forecast_date)
).all()
)
print(f"records: {len(records)}{f' +{saved}' if saved > 0 else ''}")
output_file = os.getenv("OUTPUT_FILE", "weather_report.md")
export_md(records, output_file, city)
print(f"Exported: {output_file}")
if records:
dates = sorted(r.forecast_date for r in records)
print(f"{dates[0]} - {dates[-1]}")
except (GeoError, WeatherAPIError, SQLAlchemyError) as exc:
print(f"error: {exc}", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()
pyproject.toml
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[project]
name = "weather-fetch-lab-vibe"
version = "0.1.0"
description = "ETL-контур: геолокация по IP, прогноз погоды OpenWeatherMap, сохранение в SQLite, выгрузка в Markdown"
requires-python = ">=3.12"
dependencies = [
"python-dotenv>=1.2",
"requests>=2.32",
"sqlalchemy>=2.0",
]
[dependency-groups]
dev = [
"basedpyright>=1.40",
"types-requests>=2.32",
]
[tool.basedpyright]
typeCheckingMode = "strict"
pythonVersion = "3.12"
requirements.txt
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# This file was autogenerated by uv via the following command:
# uv export --format requirements-txt --no-dev --no-hashes -o requirements.txt
certifi==2026.7.22
# via requests
charset-normalizer==3.5.1
# via requests
greenlet==3.5.6 ; platform_machine == 'AMD64' or platform_machine == 'WIN32' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'ppc64le' or platform_machine == 'win32' or platform_machine == 'x86_64'
# via sqlalchemy
idna==3.19
# via requests
python-dotenv==1.2.3
# via weather-fetch-lab-vibe
requests==2.34.2
# via weather-fetch-lab-vibe
sqlalchemy==2.0.54
# via weather-fetch-lab-vibe
typing-extensions==4.16.0
# via sqlalchemy
urllib3==2.8.0
# via requests
uv.lock
Generated
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revision = 3
requires-python = ">=3.12"
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version = "2026.7.22"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
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weather_client.py
+146
View File
@@ -0,0 +1,146 @@
import datetime
from math import inf
import os
from dataclasses import dataclass
from urllib.parse import urlencode
from cnet import HttpError, as_dict, as_float, as_int, as_list, as_str, fetch_json
from db_models import DailyForecast
from geo_locator import Geo
messages = {
401: "[401] Wrong WEATHER_API_KEY",
404: "[404] City not found",
429: "[429] Limit exceeded",
}
class WeatherAPIError(Exception): ...
@dataclass
class _Item:
date: datetime.date
hour: int
temp_min: float
temp_max: float
humidity: float
wind_speed: float
description: str
@dataclass
class _DayMetrics:
t_mins: float = inf
t_maxs: float = -inf
h_sum: float = 0
n: int = 0
wind_max: float = -inf
noon_dst: int | None = None
description: str = ""
def _timezone_offset(city: dict[str, object]) -> datetime.timedelta:
shift = as_float(city.get("timezone"), default=0.0) or 0.0
return datetime.timedelta(seconds=int(shift))
def _parse_item(raw: object, offset: datetime.timedelta) -> _Item | None:
entry = as_dict(raw)
main = as_dict(entry.get("main"))
wind = as_dict(entry.get("wind"))
weather_list = as_list(entry.get("weather"))
weather = as_dict(weather_list[0]) if weather_list else {}
dt = as_float(entry.get("dt"), default=0.0)
if dt is None or dt <= 0:
return None
time = datetime.datetime.fromtimestamp(dt, tz=datetime.timezone.utc) + offset
return _Item(
date=time.date(),
hour=time.hour,
temp_min=as_float(main.get("temp_min"), default=0.0) or 0.0,
temp_max=as_float(main.get("temp_max"), default=0.0) or 0.0,
humidity=as_float(main.get("humidity"), default=0.0) or 0.0,
wind_speed=as_float(wind.get("speed"), default=0.0) or 0.0,
description=as_str(weather.get("description"), default=""),
)
def _calc(intervals: list[_Item], city: str) -> list[DailyForecast]:
days_metrics: dict[datetime.date, _DayMetrics] = {}
for i in intervals:
m = days_metrics.setdefault(i.date, _DayMetrics())
m.t_mins = min(m.t_mins, i.temp_min)
m.t_maxs = max(m.t_maxs, i.temp_max)
m.h_sum += i.humidity
m.n += 1
m.wind_max = max(m.wind_max, i.wind_speed)
dst = abs(i.hour - 12)
if m.noon_dst is None or dst < m.noon_dst:
m.noon_dst = dst
m.description = i.description
result: list[DailyForecast] = []
for day, m in sorted(days_metrics.items()):
result.append(
DailyForecast(
city=city,
forecast_date=day,
temp_min=m.t_mins,
temp_max=m.t_maxs,
humidity=round(m.h_sum / m.n) if m.n else 0,
wind_speed=m.wind_max,
description=m.description,
)
)
return result[:4]
def get_forecast(geo: Geo) -> list[DailyForecast]:
api_key = os.getenv("WEATHER_API_KEY", "").strip()
if not api_key:
raise WeatherAPIError("no WEATHER_API_KEY")
base_url = os.getenv(
"WEATHER_API_BASE_URL", "https://api.openweathermap.org/data/2.5/forecast"
)
params: dict[str, str] = {"appid": api_key, "units": "metric", "lang": "ru"}
if geo.lat is not None and geo.lon is not None:
params["lat"] = f"{geo.lat}"
params["lon"] = f"{geo.lon}"
else:
params["q"] = geo.city
url = f"{base_url}?{urlencode(params)}"
try:
raw = fetch_json(url)
except HttpError as e:
if e.status_code == HttpError.NO_CODE:
raise WeatherAPIError(f"weather request failed: {e.body}") from e
raise WeatherAPIError(
messages.get(e.status_code, f"[{e.status_code}] weather error")
) from e
resp = as_dict(raw)
cod = as_int(resp.get("cod"), 200)
if cod != 200:
raise WeatherAPIError(messages.get(cod, f"[{cod}] weather error"))
resp_city = as_dict(resp.get("city"))
city = as_str(resp_city.get("name"), default=geo.city)
offset = _timezone_offset(resp_city)
items = [
i
for i in (_parse_item(entry, offset) for entry in as_list(resp.get("list")))
if i is not None
]
if not items:
raise WeatherAPIError("weather is empty")
return _calc(items, city)