add_weather_functions #7

Merged
Dmitrium12 merged 3 commits from add_weather_functions into master 2024-05-10 18:59:30 +07:00
4 changed files with 1323 additions and 9 deletions
Showing only changes of commit 1f2f9955d6 - Show all commits
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+32 -5
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@@ -1,5 +1,8 @@
import json
from bs4 import BeautifulSoup from bs4 import BeautifulSoup
from curl_cffi import requests from curl_cffi import requests
from fuzzywuzzy import fuzz
from data.config import WEATHER_DEFAULT_CITY, WEATHER_URL from data.config import WEATHER_DEFAULT_CITY, WEATHER_URL
@@ -10,14 +13,38 @@ class Weather:
self.url = WEATHER_URL self.url = WEATHER_URL
def get_info(self, city: str) -> str: def get_info(self, city: str) -> str:
try:
response = requests.get(f"{self.url}/{city}", impersonate="chrome110") response = requests.get(f"{self.url}/{city}", impersonate="chrome110")
soup = BeautifulSoup(response.text, "html.parser") soup = BeautifulSoup(response.text, "html.parser")
card = soup.find("div", class_=["fact", "fact_prec_rain-low", "card", "card_size_big"]) card = soup.find(
info = card.find("div", class_=["fact__temp-wrap"]) "div",
temp = info.find("span", class_=["temp__value", "temp__value_with-unit"]).text class_=["fact", "fact_prec_rain-low", "card", "card_size_big"]
weather = info.find("div", class_=["link__condition", "day-anchor i-bem"]).text.lower() )
info = card.find(
"div",
class_=["fact__temp-wrap"]
)
temp = info.find(
"span",
class_=["temp__value", "temp__value_with-unit"]
).text
weather = info.find(
"div",
class_=["link__condition", "day-anchor i-bem"]
).text.lower()
return f"За окном {temp}, {weather}" return f"За окном {temp}, {weather}"
except AttributeError:
return self.get_info(self.default_city)
def validate_city(self, voice: str) -> str: def validate_city(self, voice: str) -> str:
print(voice) validate_voice = voice.split(" ")[-1]
rc = {'cmd': '', 'percent': 0}
data = json.load(open("data/weather_city.json"))
for ru, en in data.items():
vrt = fuzz.ratio(validate_voice.lower(), ru.lower())
if vrt > rc['percent']:
rc['cmd'] = en.lower()
rc['percent'] = vrt
if rc['percent'] > 80:
return rc['cmd']
return self.default_city return self.default_city
Generated
+95 -1
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@@ -1546,6 +1546,78 @@ files = [
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] ]
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[package.dependencies]
numpy = [
{version = ">=1.23.2", markers = "python_version == \"3.11\""},
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
]
python-dateutil = ">=2.8.2"
pytz = ">=2020.1"
tzdata = ">=2022.7"
[package.extras]
all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"]
aws = ["s3fs (>=2022.11.0)"]
clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"]
compression = ["zstandard (>=0.19.0)"]
computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"]
consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"]
feather = ["pyarrow (>=10.0.1)"]
fss = ["fsspec (>=2022.11.0)"]
gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
hdf5 = ["tables (>=3.8.0)"]
html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
parquet = ["pyarrow (>=10.0.1)"]
performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"]
plot = ["matplotlib (>=3.6.3)"]
postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
pyarrow = ["pyarrow (>=10.0.1)"]
spss = ["pyreadstat (>=1.2.0)"]
sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
xml = ["lxml (>=4.9.2)"]
[[package]] [[package]]
name = "pillow" name = "pillow"
version = "10.3.0" version = "10.3.0"
@@ -1826,6 +1898,17 @@ files = [
[package.dependencies] [package.dependencies]
Levenshtein = "0.23.0" Levenshtein = "0.23.0"
[[package]]
name = "pytz"
version = "2024.1"
description = "World timezone definitions, modern and historical"
optional = false
python-versions = "*"
files = [
{file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
{file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
]
[[package]] [[package]]
name = "pyyaml" name = "pyyaml"
version = "6.0.1" version = "6.0.1"
@@ -2463,6 +2546,17 @@ files = [
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] ]
[[package]]
name = "tzdata"
version = "2024.1"
description = "Provider of IANA time zone data"
optional = false
python-versions = ">=2"
files = [
{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
]
[[package]] [[package]]
name = "urllib3" name = "urllib3"
version = "2.2.1" version = "2.2.1"
@@ -2584,4 +2678,4 @@ files = [
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.11" python-versions = "^3.11"
content-hash = "6f3eb835443eb7b57269560a3102a4908b74be505b5d4dbf962431270efe2eea" content-hash = "ed456a985fc886096ff16cdca62c4381aab1fc6563761770583f1d6b20006ce3"
+1
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@@ -31,6 +31,7 @@ environs = "^11.0.0"
bs4 = "^0.0.2" bs4 = "^0.0.2"
fake-useragent = "^1.5.1" fake-useragent = "^1.5.1"
curl-cffi = "^0.6.3" curl-cffi = "^0.6.3"
pandas = "^2.2.2"
[[tool.poetry.source]] [[tool.poetry.source]]