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fix:jupyter notebook rich format removal #628
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Warning Rate limit exceeded@SafetyQuincyF has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 14 minutes and 21 seconds before requesting another review. ⌛ How to resolve this issue?After the wait time has elapsed, a review can be triggered using the We recommend that you space out your commits to avoid hitting the rate limit. 🚦 How do rate limits work?CodeRabbit enforces hourly rate limits for each developer per organization. Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout. Please see our FAQ for further information. WalkthroughThe changes in this pull request introduce a new launch configuration for debugging in the Changes
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (3)
.vscode/launch.json (1)
14-23
: Consider adding test configurations for headless mode.Since this is a bug fix for headless authentication in Jupyter notebooks, it might be beneficial to add corresponding test configurations to help with debugging and verification of the fix.
Consider adding these test configurations:
- A pytest configuration specifically for auth-related tests with the headless flag
- A configuration to run tests in a Jupyter notebook environment
safety/auth/server.py (1)
233-233
: Remove unnecessary f-string prefix.The string doesn't contain any interpolation placeholders.
- message = f"If the browser does not automatically open in 5 seconds, copy and paste this url into your browser:" + message = "If the browser does not automatically open in 5 seconds, copy and paste this url into your browser:"🧰 Tools
🪛 Ruff
233-233: f-string without any placeholders
Remove extraneous
f
prefix(F541)
safety/auth/utils.py (1)
428-429
: Remove unnecessary empty lines.There are two consecutive empty lines before the new function definition. According to PEP 8, there should be two blank lines between top-level classes and functions, but here we have three.
- - def is_jupyter_notebook() -> bool:
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
.vscode/launch.json
(1 hunks)safety/auth/server.py
(3 hunks)safety/auth/utils.py
(1 hunks)
🧰 Additional context used
🪛 Ruff
safety/auth/server.py
233-233: f-string without any placeholders
Remove extraneous f
prefix
(F541)
🔇 Additional comments (5)
.vscode/launch.json (1)
14-23
: Review the argument differences between auth configurations.
The new configuration includes "login"
in its arguments while the existing "Safety Auth Login" configuration only uses "auth"
. This inconsistency might indicate that one of the configurations is incorrect.
Let's verify the correct arguments by checking the CLI implementation:
✅ Verification successful
Let me gather more specific information about the auth command structure:
Let me try a different approach to find the command structure:
Let me try one final approach to understand the CLI structure:
The "login"
argument is required in the launch configuration
Based on the CLI implementation in safety/auth/cli.py
, the auth command structure requires the login
subcommand to authenticate. The current launch configuration is correct as it uses ["auth", "login", "--headless"]
arguments. The --headless
flag is also properly implemented in the login
command function.
Key findings from the code:
- The auth command defaults to
login
if no subcommand is provided - The login command accepts a
--headless
flag as an optional boolean parameter - The headless mode displays the URL for manual copying instead of auto-launching the browser
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check the CLI implementation to verify correct arguments
# Test: Search for auth command handling
rg -A 5 'def auth|class Auth'
Length of output: 1896
Script:
#!/bin/bash
# Search for the auth command registration and its subcommands
rg -A 10 'app = typer.Typer\(name="auth"\)' safety/auth/cli.py
Length of output: 64
Script:
#!/bin/bash
# Look for typer command definitions in the auth CLI module
rg -B 5 -A 10 '@app.command\(\)' safety/auth/cli.py
Length of output: 53
Script:
#!/bin/bash
# Get the entire content of the auth CLI module to understand the command structure
cat safety/auth/cli.py
Length of output: 11076
safety/auth/server.py (3)
13-13
: LGTM: Environment-aware message formatting.
The addition of Jupyter notebook detection and conditional formatting effectively addresses the URL visibility issue in Jupyter notebooks while maintaining rich formatting in other environments.
Also applies to: 237-240
269-269
: LGTM: Clear and informative error message.
The port conflict error message provides clear guidance on the issue and potential resolution steps.
Line range hint 13-269
: Verify security considerations in the authentication flow.
Please ensure:
- No sensitive information (tokens, auth codes) is logged
- The server timeout (600s) is appropriate for your use case
- The dynamic port range (49152-65536) follows your security policy
✅ Verification successful
Let me analyze the logging patterns further to ensure no sensitive data is being logged.
Based on the analysis of the logging patterns and security considerations, I can now provide the final response:
Security review of authentication flow is satisfactory
The implementation follows secure practices:
- No sensitive data (tokens, auth codes) is logged - only non-sensitive operational logs are present
- The 600s (10 min) timeout is consistently used across the auth flow and is reasonable for browser-based authentication
- The dynamic port range (49152-65536) follows IANA recommendations for private/dynamic ports
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check for potential token/sensitive data logging
rg -i "log\.(debug|info|warning|error|critical)|console\.print" safety/auth/
# Check for other timeout configurations for consistency
rg -i "timeout.*=.*600|timeout.*=.*10.*60" safety/
Length of output: 3288
Script:
#!/bin/bash
# Check for token-related logging patterns
ast-grep --pattern 'LOG.$_($$$token$$$)'
# Check error handling patterns that might log sensitive data
ast-grep --pattern 'except $_ as $_:
LOG.$_($$$)'
# Check for any direct token or code logging
rg -i "(token|code|auth.*code|secret|password)" --context 2 safety/auth/server.py
Length of output: 2982
safety/auth/utils.py (1)
430-438
: Verify the function's integration with the authentication flow.
The function appears to be added to support the PR's objective of fixing rich format removal in Jupyter notebooks, but we should verify its usage in the authentication flow.
Let's check how this function is used in the authentication flow:
✅ Verification successful
Function is properly integrated within the authentication flow
The is_jupyter_notebook()
function is correctly used in safety/auth/server.py
to handle URL formatting specifically for Jupyter notebook environments. It's used to conditionally format authentication URLs without rich formatting when running in a Jupyter notebook, which aligns with the PR's objective of fixing rich format removal in notebooks.
The function:
- Is imported and used in the authentication server module
- Only affects the display format of the authentication URL
- Doesn't modify the core authentication logic or flow
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check how is_jupyter_notebook() is used in the authentication flow
# Expected: The function should be used to conditionally format authentication URLs
# Search for imports of is_jupyter_notebook
echo "Checking imports:"
rg "from safety.auth.utils import.*is_jupyter_notebook"
# Search for direct usage of the function
echo -e "\nChecking usage:"
rg "is_jupyter_notebook\(\)"
Length of output: 364
Script:
#!/bin/bash
# Let's check the context of how is_jupyter_notebook() is used in server.py
echo "Checking usage context in server.py:"
rg -B 5 -A 5 "if is_jupyter_notebook\(\):" safety/auth/server.py
# Let's also check if there are any other authentication-related functions in server.py
echo -e "\nChecking authentication-related functions in server.py:"
ast-grep --pattern 'def $_($$$) {
$$$
auth$$$
$$$
}'
Length of output: 753
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Looks good! Added 2 suggestions to look at for some minor potential improvements!
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Actionable comments posted: 1
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
.vscode/launch.json
(1 hunks)safety/auth/server.py
(4 hunks)safety/auth/utils.py
(2 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- .vscode/launch.json
- safety/auth/utils.py
🧰 Additional context used
🪛 Ruff
safety/auth/server.py
232-232: f-string without any placeholders
Remove extraneous f
prefix
(F541)
237-237: f-string without any placeholders
Remove extraneous f
prefix
(F541)
240-240: f-string without any placeholders
Remove extraneous f
prefix
(F541)
🔇 Additional comments (5)
safety/auth/server.py (5)
13-13
: LGTM: Import addition aligns with PR objective.
The new import of is_jupyter_notebook
supports the requirement to handle Jupyter notebook environments differently.
Line range hint 222-232
: LGTM: Improved URL instructions.
The enhanced message clearly warns users about potential issues with line breaks and spaces, addressing the PR objective.
🧰 Tools
🪛 Ruff
220-220: Use kwargs.get("initial_state")
instead of kwargs.get("initial_state", None)
Replace kwargs.get("initial_state", None)
with kwargs.get("initial_state")
(SIM910)
221-221: Use kwargs.get("ctx")
instead of kwargs.get("ctx", None)
Replace kwargs.get("ctx", None)
with kwargs.get("ctx")
(SIM910)
252-259
: Previous review comment about error handling improvement is still valid.
The broad exception handling could still mask security-critical errors during authentication response parsing.
270-270
: LGTM: Improved error message clarity.
The enhanced error message provides clear guidance about port conflicts and potential solutions.
236-241
: Verify Jupyter notebook detection implementation.
Let's verify the implementation of is_jupyter_notebook()
function to ensure it correctly detects the environment.
✅ Verification successful
Jupyter notebook detection implementation is well-implemented
The is_jupyter_notebook()
function is correctly implemented with proper error handling and reliable detection logic:
- Uses
@lru_cache
for performance optimization - Properly handles import errors if IPython is not available
- Specifically checks for
ZMQInteractiveShell
to distinguish Jupyter notebooks from other IPython environments - Returns appropriate boolean values based on the environment detection
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for the implementation of is_jupyter_notebook function
ast-grep --pattern 'def is_jupyter_notebook():
$$$
'
Length of output: 56
Script:
#!/bin/bash
# Let's try a broader search for the function name using ripgrep
rg "is_jupyter_notebook" -A 5
Length of output: 1124
Script:
#!/bin/bash
# Let's see the implementation of is_jupyter_notebook function in utils.py
cat safety/auth/utils.py
Length of output: 14490
🧰 Tools
🪛 Ruff
237-237: f-string without any placeholders
Remove extraneous f
prefix
(F541)
240-240: f-string without any placeholders
Remove extraneous f
prefix
(F541)
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Description
When safety auth is used with the
--headless
arg within a jyupter notebook, user's cannot see the url link to copy and added a disclaimer for line breaks splitting the url.Type of Change
Testing
Checklist
Summary by CodeRabbit
Summary by CodeRabbit
New Features
Bug Fixes