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welcome-to-sourcery.py
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welcome-to-sourcery.py
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# Welcome to Sourcery! We're here to be your pair programmer anytime you're
# working in VS Code.
# To get started log into your Sourcery account. Click on the Sourcery logo
# (the hexagon) on your VS Code sidebar and click the login button, or open
# the command palette (Ctrl/Cmd+Shift+P) and execute `Sourcery: Login`.
# Let's start looking at how you can get a code review from Sourcery.
# The `Review` tab allows you to get a code review straight away in your IDE
# - You can always get a review of the current file
# - If in Git you can review your current set of uncommitted changes,
# or your current branch compared to the default branch
# If you want reviews when you open a PR, you can add Sourcery to your GitHub or GitLab repos.
# Now let's move on to the `Chat` tab.
# Above each function you'll see a few commands - these are Code Lenses that
# you can use to interact with Sourcery. Try clicking on "Ask Sourcery" and
# asking it to update the code to use `dateutil`. The answer will appear in
# the Sourcery sidebar chat.
def days_between_dates(date1, date2):
d1 = datetime.datetime.strptime(date1, '%Y-%m-%d').date()
d2 = datetime.datetime.strptime(date2, '%Y-%m-%d').date()
delta = d2 - d1
return delta.days
# With the Ask Sourcery command or the chat in the sidebar you can ask Sourcery
# questions, have it write new code for you, or update existing code.
# Sourcery also has a series of "recipes" to do different things with code.
# Try clicking the Generate Docstrings lens above this next function:
def calculate_weighted_moving_average(prices, weights):
if not prices or not weights:
raise ValueError("Both prices and weights must be provided.")
if len(weights) > len(prices):
raise ValueError("Length of weights must be less than or equal to length of prices.")
total_weight = sum(weights)
normalized_weights = [w / total_weight for w in weights]
wma = []
for i in range(len(prices) - len(weights) + 1):
weighted_sum = sum(prices[i + j] * normalized_weights[j] for j in range(len(weights)))
wma.append(weighted_sum)
return wma
# Now try clicking Generate Tests or Explain Code for the same function!
# There are also recipes for Optimizing Performance and Simplifying Code.
# You can access these by clicking Ask Sourcery and choosing them from the
# dropdown or by selecting a section of code and clicking the recipe button
# in the sidebar.
# In your code you'll also see sections start to get underlined.
# This means Sourcery has a suggestion to improve it.
def refactoring_example(spellbook):
result = []
for spell in spellbook:
if spell.is_awesome:
result.append(spell)
print(result)
# Hover over the underlined code to see details of the changes including a diff.
# You can accept Sourcery's changes with the quick fix action. Put your cursor
# on the highlighted line and click on the lightbulb.
#
# Or use the quick-fix hotkey (Ctrl .) or (Cmd .) and then choose
# "Sourcery - Convert for loop...". This will instantly replace the code with
# the improved version.
# The Problems pane (Ctrl/Cmd+Shift+M) shows all of Sourcery's suggestions.
# Sourcery also provides code metrics for each function to give you insight into
# code quality - hover over the function definition below to see this report.
def magical_hoist(magic):
if is_powerful(magic):
result = 'Magic'
else:
print("Not powerful.")
result = 'Magic'
print(result)
# What if we don't want to make the change Sourcery suggests?
# You can skip/ignore changes from Sourcery in a few ways:
# 1) In the quick fix menu choose "Sourcery - Skip suggested refactoring"
# This adds a comment to the function telling Sourcery not to make the change.
# 2) In the quick fix menu choose "Sourcery - Never show me this refactoring"
# This tells Sourcery to never suggest this type of suggestion. This config
# is stored in a configuration file on your machine.
# 3) Click on the Sourcery button in the Status Bar (typically the bottom of
# the VS Code window) to bring up the Sourcery Hub. Click on "Settings" and
# then you can toggle individual rule types on or off
# For more details check out our documentation here:
# https://docs.sourcery.ai/
# If you want to play around a bit more, here are some more examples of Sourcery's in-line suggestions.
# These include cases where Sourcery has chained together suggestions to come
# up with more powerful refactorings.
def find_more(magicks):
powerful_magic = []
for magic in magicks:
if not is_powerful(magic):
continue
powerful_magic.append(magic)
return powerful_magic
def is_powerful(magic):
if magic == 'Sourcery':
return True
elif magic == 'More Sourcery':
return True
else:
return False
def print_all(spells: list):
for i in range(len(spells)):
print(spells[i])