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WalkthroughA new Python script was added that defines a function executing a sequence of operations involving eval, user input, exception handling, and list manipulation. Separately, a GitHub Actions workflow markdown was updated to fix a shell script syntax issue and to allow dynamic selection of the OpenAI model name via an environment variable. Changes
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Actionable comments posted: 3
🧹 Nitpick comments (2)
examples/bad_example.py (2)
12-17
: Redundant loops – use list comprehension or*
duplication- temp = [] - for i in range(0,10): - temp.append(i) - for i in range(0,10): - temp.append(i) + temp = list(range(10)) * 2
1-20
: Function does not return or document anythingConsider returning
temp
(or something meaningful) and adding a docstring so callers know its purpose.🧰 Tools
🪛 Ruff (0.11.9)
9-9: Do not use bare
except
(E722)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (2)
examples/bad_example.py
(1 hunks)examples/third_party/Code_quality_and_security_scan_with_GitHub_Actions.md
(2 hunks)
🧰 Additional context used
🪛 Ruff (0.11.9)
examples/bad_example.py
9-9: Do not use bare except
(E722)
🔇 Additional comments (2)
examples/third_party/Code_quality_and_security_scan_with_GitHub_Actions.md (2)
98-102
: Good catch: missingfi
fixedClosing the conditional avoids a syntax error that would abort the workflow.
108-110
: Fail-safe missing forMODELNAME
If the repository variable
MODELNAME
is unset the step will silently build an invalid request and the API call will fail later. Add an early guard or default:- MODELNAME: ${{ vars.MODELNAME }} + MODELNAME: ${{ vars.MODELNAME || 'gpt-4o-mini' }} + + # Fail fast if still empty + if [ -z "$MODELNAME" ]; then + echo "::error::MODELNAME not set"; exit 1 + fi
jq -n --arg model "$MODELNAME" --arg prompt "$PROMPT" '{ | ||
"model": "\($model)", | ||
"messages": [ |
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Variable already interpolated – lose the extra quotes
jq -n --arg model "$MODELNAME"
makes $model
a JSON string. Wrapping with "$(…)"
re-quotes it:
"model": "\($model)"
results in "model": "\"gpt-4o\""
(note the escaped quotes). Use the raw value instead:
- jq -n --arg model "$MODELNAME" --arg prompt "$PROMPT" '{
- "model": "\($model)",
+ jq -n --arg model "$MODELNAME" --arg prompt "$PROMPT" '{
+ "model": $model,
🤖 Prompt for AI Agents
In examples/third_party/Code_quality_and_security_scan_with_GitHub_Actions.md at
lines 114 to 116, the jq command incorrectly wraps the variable $model in extra
quotes, causing it to be double-quoted in the JSON output. To fix this, remove
the surrounding quotes around \($model) so that the value is inserted as a raw
JSON string without additional escaping.
code = "print('Hello World')" | ||
eval(code) | ||
|
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eval()
is unnecessary and unsafe
Executing arbitrary strings invites RCE. Replace with a direct call:
- code = "print('Hello World')"
- eval(code)
+ print("Hello World")
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
code = "print('Hello World')" | |
eval(code) | |
print("Hello World") |
🤖 Prompt for AI Agents
In examples/bad_example.py around lines 2 to 4, the use of eval() to execute the
code string is unnecessary and unsafe as it can lead to remote code execution
vulnerabilities. Replace the eval(code) call with a direct execution of the
code, such as using a print statement directly or another safe method that does
not involve evaluating a string.
user_input = input("Enter a number: ") | ||
try: | ||
result = int(user_input) / 0 | ||
print( result ) | ||
except: | ||
print("something went wrong") |
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Guaranteed ZeroDivisionError
+ bare except
Dividing by zero always throws, and the bare except
hides real issues.
- user_input = input("Enter a number: ")
- try:
- result = int(user_input) / 0
- print( result )
- except:
- print("something went wrong")
+ user_input = input("Enter a number: ")
+ try:
+ value = float(user_input)
+ result = value / 2 # example divisor
+ print(f"Result: {result}")
+ except ValueError:
+ print("Please enter a valid number.")
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
user_input = input("Enter a number: ") | |
try: | |
result = int(user_input) / 0 | |
print( result ) | |
except: | |
print("something went wrong") | |
user_input = input("Enter a number: ") | |
try: | |
value = float(user_input) | |
result = value / 2 # example divisor | |
print(f"Result: {result}") | |
except ValueError: | |
print("Please enter a valid number.") |
🧰 Tools
🪛 Ruff (0.11.9)
9-9: Do not use bare except
(E722)
🤖 Prompt for AI Agents
In examples/bad_example.py around lines 5 to 10, the code divides by zero which
always raises a ZeroDivisionError, and it uses a bare except that hides other
potential errors. Fix this by removing the division by zero or replacing it with
a valid divisor, and replace the bare except with a specific exception handler
such as ZeroDivisionError or ValueError to properly handle expected errors
without masking others.
Summary
Test code review
Summary by CodeRabbit
New Features
Documentation