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lab_weather
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cchung 2023-08-01 12:28:30 +00:00
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.commit_template Normal file
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# -----------------------------------------------------------------
# Write your entire commit message above this line.
#
# The first line should be a quick description of what you changed.
# Then leave a blank line.
# Then, taking as many lines as you want, answer the questions for
# your current checkpoint:
#
# Checkpoint 1: You are starting to work with more complex data structures.
# Reflect on one place you got stuck--because you weren't sure
# what you needed the program to do, because you weren't sure how to
# use the new syntax, or for another reason. What strategies did you use
# to get un-stuck?
#
# Checkpoint 2: Sections 2.1, 2.2, and 2.3 talk about computer systems
# at three different scales: functions (within a Python program),
# programs (running in Terminal), and distributed services (running
# across the Internet). Explain what these systems have in common.

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.gitignore vendored Normal file
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dist/*
**/__pycache__/*

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friend_functions.py Normal file
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# friend_functions.py
# ------------
# By MWC Contributors
#
# Each of the functions below expects a list of dictionaries as its first
# argument. Two examples of the expected input are provided in people.family
# and people.friends.
# Your job is to complete these functions. Remove the NotImplementedError from
# each and instead write code which returns the expected values.
def count_people(people):
"""Counts the number of people.
>>> count_people(family)
5
>>> count_people(friends)
10
"""
raise NotImplementedError()
def get_email(people, name):
"""Returns the named person's email address. If there is no such person, returns None.
>>> get_email(family, "Tad Winters")
"ligula.aenean@hotmail.edu"
>>> get_email(friends, "Tad Winters")
None
"""
raise NotImplementedError()
def count_favorite_colors(people, name):
"""Returns the number of colors liked by the named person. If there is no such person, returns None.
>>> count_favorite_colors(family, "Tad Winters")
2
>>> count_favorite_colors(family, "Raphael Chambers")
1
"""
raise NotImplementedError()
def people_who_like_color(people, color):
"""Returns a list containing only those people who like the given color.
>>> people_who_like_color(family, "yellow")
[
{
"name": "Walker Hurley",
"email": "auctor.odio@icloud.ca",
"favorite_colors": ["red", "yellow", "blue", "orange"],
},
{
"name": "Clementine Joseph",
"email": "hendrerit@aol.co.uk",
"favorite_colors": ["yellow", "aqua", "black"],
}
]
>>> people_who_like_color(family, "indigo")
[]
"""
raise NotImplementedError()
def count_people_who_like_color(people, color):
"""Returns the number of people who like a given color.
>>> count_people_who_like_color(family, "red")
2
>>> count_people_who_like_color(family, "orange")
1
"""
raise NotImplementedError()
def get_color_dict(people):
"""Returns a dict showing how many people like each color.
Any color liked by any of the people will be included, and only colors
liked by someone will be included. The order of items in the dict doesn't matter.
>>> get_color_dict(family)
{
"aqua": 2,
"red": 2,
"blue": 2,
"black": 2,
"white": 1,
"grey": 1,
"yellow": 2,
"orange": 1,
}
"""
raise NotImplementedError()

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globalize_weather.sh Normal file
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# globalize_weather.py
# --------------------
# By MWC Contributors
#
# This shell shell script adds `weather` to your global PATH, so that you'll be able to
# run it from any Terminal session. If you want this, just run:
#
# source globalize_weather.sh
CHECK=$(which weather 2>&1)
if [ $CHECK = "weather not found" ]; then
echo "The weather script was not found. Make sure you are in a Poetry shell and that you have run poetry install."
else
echo "\n# Adding path for weather" >> ~/.mwc_rc
echo "export PATH=\"$(dirname $(which weather)):\$PATH\"" >> ~/.mwc_rc
source ~/.mwc_rc
fi

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people.py Normal file
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# people.py
# ------------
# By MWC Contributors
#
# Defines two data structures containing people data, meant to be used
# with the functions in `friend_functions.py`.
# You don't need to do anything with thie file.
family = [
{
"name": "Tad Winters",
"email": "ligula.aenean@hotmail.edu",
"favorite_colors": ["aqua", "red"],
},
{
"name": "Raphael Chambers",
"email": "ac.eleifend.vitae@protonmail.com",
"favorite_colors": ["blue"],
},
{
"name": "Perry Calderon",
"email": "mus.donec@outlook.org",
"favorite_colors": ["black", "white", "grey"],
},
{
"name": "Walker Hurley",
"email": "auctor.odio@icloud.ca",
"favorite_colors": ["red", "yellow", "blue", "orange"],
},
{
"name": "Clementine Joseph",
"email": "hendrerit@aol.co.uk",
"favorite_colors": ["yellow", "aqua", "black"],
}
]
friends = [
{
"name": "Connor Rodriguez",
"email": "maecenas@yahoo.edu",
"favorite_colors": ["aqua", "teal", "sea foam", "turquoise"],
},
{
"name": "Rosalyn Hubbard",
"email": "elit.pharetra@google.edu",
"favorite_colors": ["red", "yellow", "black"],
},
{
"name": "Thomas Puckett",
"email": "sit.amet@aol.net",
"favorite_colors": ["blue"],
},
{
"name": "Yuli Reynolds",
"email": "augue.malesuada@google.edu",
"favorite_colors": [],
},
{
"name": "Joy Tate",
"email": "risus.a.ultricies@hotmail.org",
"favorite_colors": ["white", "grey", "sand"],
},
{
"name": "Prescott Price",
"email": "cursus.nunc@yahoo.edu",
"favorite_colors": ["red", "blue", "green"],
},
{
"name": "Josephine Keller",
"email": "nulla@protonmail.edu",
"favorite_colors": ["black"],
},
{
"name": "Isadora Carney",
"email": "sagittis.lobortis@protonmail.co.uk",
"favorite_colors": ["aqua", "lime"],
},
{
"name": "Jelani West",
"email": "vehicula.pellentesque.tincidunt@yahoo.org",
"favorite_colors": ["grey", "beige", "tan"],
},
{
"name": "Gay Pittman",
"email": "etiam.bibendum@yahoo.org",
"favorite_colors": ["yellow"],
}
]

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poetry.lock generated Normal file
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21
pyproject.toml Normal file
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@ -0,0 +1,21 @@
[tool.poetry]
name = "lab_weather"
version = "0.1.0"
description = ""
authors = ["Chris <chris@chrisproctor.net>"]
license = "MIT"
[tool.poetry.dependencies]
python = "^3.10"
requests = "^2.31.0"
geocoder = "^1.38.1"
superturtle = "^0.1.0"
[tool.poetry.dev-dependencies]
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry.scripts]
weather = "weather.weather_cli:weather_cli"

90
test_friend_functions.py Normal file
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# test_friend_functions.py
# ------------
# By MWC Contributors
#
# Defines tests for `friend_functions`.
# Run this program with `python test_friend_functions.py`.
# You don't need to edit thie file.
from unittest import TestCase, main
from people import friends, family
from friend_functions import (
count_people,
get_email,
count_favorite_colors,
people_who_like_color,
count_people_who_like_color,
get_color_dict,
)
class TestCountPeople(TestCase):
def test_returns_correct_value(self):
self.assertEqual(count_people(family), 5)
self.assertEqual(count_people(friends), 10)
class TestGetEmail(TestCase):
def test_returns_email_when_person_found(self):
self.assertEqual(get_email(family, "Perry Calderon"), "mus.donec@outlook.org")
self.assertEqual(get_email(friends, "Joy Tate"), "risus.a.ultricies@hotmail.org")
def test_returns_none_when_person_missing(self):
self.assertEqual(get_email(family, "Ken Kesey"), None)
class TestCountFavoriteColors(TestCase):
def test_returns_len_favorite_colors_when_person_found(self):
self.assertEqual(count_favorite_colors(family, "Tad Winters"), 2)
self.assertEqual(count_favorite_colors(friends,"Connor Rodriguez"), 4)
self.assertEqual(count_favorite_colors(friends, "Yuli Reynolds"), 0)
def test_returns_none_when_person_missing(self):
self.assertEqual(count_favorite_colors(family, "Ken Kesey"), None)
class TestPeopleWhoLikeColor(TestCase):
def test_returns_correct_length(self):
self.assertEqual(len(people_who_like_color(family, "blue")), 2)
self.assertEqual(len(people_who_like_color(family, "purple")), 0)
def test_returns_full_dicts(self):
result = people_who_like_color(family, "orange")
self.assertEqual(len(result), 1)
self.assertEqual(result[0]["email"], "auctor.odio@icloud.ca")
class TestCountPeopleWhoLikeColor(TestCase):
def test_returns_correct_count(self):
self.assertEqual(count_people_who_like_color(friends, "grey"), 2)
self.assertEqual(count_people_who_like_color(friends, "beige"), 1)
self.assertEqual(count_people_who_like_color(friends, "cornflower"), 0)
class TestGetColorDict(TestCase):
def test_returns_correct_dict(self):
familyExpected = {
"aqua": 2,
"red": 2,
"blue": 2,
"black": 2,
"white": 1,
"grey": 1,
"yellow": 2,
"orange": 1,
}
friendsExpected = {
"lime": 1,
"grey": 2,
"sea foam": 1,
"aqua": 2,
"teal": 1,
"white": 1,
"red": 2,
"black": 2,
"blue": 2,
"tan": 1,
"sand": 1,
"green": 1,
"beige": 1,
"turquoise": 1,
"yellow": 2,
}
self.assertEqual(get_color_dict(family), familyExpected)
self.assertEqual(get_color_dict(friends), friendsExpected)
main()

24
weather/weather.py Normal file
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# weather.py
# ------------
# By MWC Contributors
#
# Defines `print_weather`, which does all the work of fetching
# the requested weather data and printing it out to the screen
# in a sensible way.
#
# It's your job to implement this function.
from weather.weather_apis import (
geocode_location,
estimate_location,
get_weather_office,
get_forecast
)
def print_weather(location=None, metric=False, verbose=False):
"""Prints out a weather report using the provided location, or using
the user's current location if no location was provided.
When metric is True, prints out the weather in metric units.
When verbose is True, prints out a more detailed report.
"""
print("Not finished...") # YOUR CODE HERE!

85
weather/weather_apis.py Normal file
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# weather_apis.py
# ---------------
# By MWC Contributors
#
# This module contains functions which interact with external APIs related to weather.
# The module relies on USA-specific services; it will need to be extended using local
# services for other regions.
# The National Weather Service (NWS) provides weather forecasting services across US
# states and territories. NWS divides the country into a grid of 2.5km squares, and
# provides a forecast for each grid square.
#
# You will need to use these functions, but you don't need to edit this file.
import geocoder
import requests
def geocode_location(location_string):
"""Translates a location string into latitude and longitude coordinates.
Uses the OpenStreetMap API. Returns a dict with keys 'lat' and 'lng'
as shown below. When no result is found, returns None.
>>> geocode_location('11 Wall Street, New York')
{"lat": -74.010865, "lng": 40.7071407}
"""
result = geocoder.osm(location_string)
if result:
lat, lng = result.latlng
return {'lat': lat, 'lng': lng}
def estimate_location(ip_address=None):
"""Estimates a location based on the request's IP address, returning
latitude and longitude coodrdinates. When no IP address is provided,
uses the user's current IP address.
>>> geocode_ip_address()
{'lat': 23.6585116, 'lng': -102.0077097}
"""
result = geocoder.ip(ip_address or 'me')
if result:
lat, lng = result.latlng
return {'lat': lat, 'lng': lng}
def get_weather_office(lat, lng):
"""Looks up the NWS weather office for a pair of lat/lng coordinates.
Returns a dict containing keys 'office', 'x', and 'y'.
If no matching weather office is found, returns None.
>>> coords = geocode_ip_address()
>>> get_weather_office(coords['lat'], coords['lng'])
{'office': 'BUF', 'x': 39, 'y': 59}
"""
url = "https://api.weather.gov/points/{},{}".format(lat, lng)
response = requests.get(url)
if response.ok:
result = response.json()
return {
"office": result['properties']['gridId'],
"x": result['properties']['gridX'],
'y': result['properties']['gridY']
}
def get_forecast(office, x, y, metric=False):
"""Fetches the weather forecast for the given NWS office, and (x, y) NWS grid tile.
Returns a list of time periods, where each time period is a dict containing keys
as shown below. If no forecast can be found, returns None.
When metric is True, returns temperatures in Celcius and wind speeds in km/hr.
"""
url = "https://api.weather.gov/gridpoints/{}/{},{}/forecast".format(office, x, y)
if metric:
url += "?units=si"
response = requests.get(url)
if response.ok:
result = response.json()
forecast = []
for period in result['properties']['periods']:
forecast.append({
'name': period['name'],
'temperature': period['temperature'],
'wind_speed': period['windSpeed'],
'wind_direction': period['windDirection'],
'description': period['shortForecast'],
})
return forecast

25
weather/weather_cli.py Normal file
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# weather_cli.py
# ------------
# By MWC Contributors
#
# Defines a CLI (command-line interface) for weather.
# This is the program that will actually run when you
# run `weather` in Terminal.
#
# You don't need to do anything with thie file.
from argparse import ArgumentParser
from weather.weather import print_weather
def weather_cli():
"""Provides a command-line interface for weather.
This function creates an ArgumentParser, which parses command line arguments.
Then it calls `print_weather` with the provided arguments.
"""
parser = ArgumentParser("weather", description="Prints out a weather report")
parser.add_argument("-l", "--location", help="Location for weather forecast")
parser.add_argument("-m", "--metric", action="store_true", help="Use metric units")
parser.add_argument("-v", "--verbose", action="store_true", help="Verbose output")
args = parser.parse_args()
print_weather(location=args.location, metric=args.metric, verbose=args.verbose)