Adding stress test script #261
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (6)
clients/job11/autograde-Makefile (1)
1-3: Consider adding documentation and phony targetsTo improve maintainability and prevent conflicts with similarly named files:
Add these improvements:
+.PHONY: all clean + +# Extract archive and run driver script all: tar xvf autograde.tar (cd random; ./driver.sh) + +# Clean up extracted files +clean: + rm -rf randomclients/job11/maxsubarray.py (2)
1-11: Add documentation and type hints for better code clarity.The implementation of Kadane's algorithm is correct, but could benefit from better documentation and type safety.
Here's a suggested improvement:
-def maxsubarray(nums): +from typing import List + +def maxsubarray(nums: List[int]) -> int: + """Calculate the maximum sum of any contiguous subarray within the given array. + + Args: + nums: List of integers + + Returns: + Maximum sum of any contiguous subarray + + Raises: + ValueError: If the input list is empty + """ n = len(nums) + if not nums: + raise ValueError("Input array cannot be empty") if n == 1: return nums[0] - lookup = [0] * n - lookup[0] = nums[0] + max_ending_here = [0] * n # tracks max sum ending at each position + max_ending_here[0] = nums[0] res = nums[0] for i in range(1, n): - lookup[i] = max(lookup[i-1]+nums[i], nums[i]) - res = max(res, lookup[i]) + max_ending_here[i] = max(max_ending_here[i-1]+nums[i], nums[i]) + res = max(res, max_ending_here[i]) return res
1-11: Consider adding test cases.Since this file is part of a job directory that will be used for stress testing, it would be beneficial to include test cases to verify the implementation.
Would you like me to help generate a test suite that covers various scenarios including:
- Empty array
- Single element array
- Array with all negative numbers
- Array with mixed positive and negative numbers
- Array with all positive numbers
stressTest.py (1)
1-76: Consider security and performance implications.The stress testing script could potentially impact system stability and security. Consider implementing:
- Rate limiting protection to prevent accidental DoS
- Authentication checks before allowing stress tests
- Resource monitoring (CPU, memory, disk) during tests
- Maximum test duration limits
- Cleanup of temporary files
Would you like assistance in implementing these safety measures?
🧰 Tools
🪛 Ruff
29-29: Comparison to
Noneshould becond is NoneReplace with
cond is None(E711)
worker.py (2)
323-324: Consider enhancing timing metrics for comprehensive stress testing.While the elapsed time logging is valuable for successful jobs, consider these enhancements to better support stress testing:
- Add timing information for failed jobs to understand failure patterns
- Include detailed timing breakdowns for each phase (VM setup, copy in/out, job execution)
- Consider adding timing metrics to the job trace for historical analysis
Here's a suggested enhancement:
elapsed_secs = time.time() - start_time -self.log.info("Success: job %s:%d finished after %d seconds" % (self.job.name, self.job.id, elapsed_secs)) +timing_msg = "Job %s:%d completed in %d seconds (status: %s)" % ( + self.job.name, self.job.id, elapsed_secs, + "success" if all(r == 0 for r in ret.values()) else "failed" +) +self.log.info(timing_msg) +self.job.appendTrace("%s|%s" % (datetime.now().ctime(), timing_msg))This enhancement:
- Logs timing for all jobs, not just successful ones
- Adds timing to job trace for historical analysis
- Clearly indicates job status alongside timing
Line range hint
162-324: Consider implementing structured metrics collection.To better support stress testing and performance analysis, consider implementing a dedicated metrics collection system that could:
- Track detailed timing breakdowns for each phase (VM setup, copy in/out, job execution)
- Collect system resource metrics (CPU, memory, network usage)
- Store metrics in a structured format for easier analysis
- Support aggregation of metrics across multiple worker instances
This would provide more comprehensive data for stress testing analysis and system optimization.
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⛔ Files ignored due to path filters (2)
clients/job11/autograde.taris excluded by!**/*.tar,!**/*.tarpyvenv.cfgis excluded by!**/*.cfg
📒 Files selected for processing (5)
- .gitignore (1 hunks)
- clients/job11/autograde-Makefile (1 hunks)
- clients/job11/maxsubarray.py (1 hunks)
- stressTest.py (1 hunks)
- worker.py (2 hunks)
✅ Files skipped from review due to trivial changes (1)
- .gitignore
🧰 Additional context used
🪛 Ruff
stressTest.py
29-29: Comparison to
Noneshould becond is NoneReplace with
cond is None(E711)
🔇 Additional comments (5)
clients/job11/autograde-Makefile (2)
1-3: Verify integration with stress testing scriptSince this Makefile is part of a PR adding stress testing functionality, we should ensure it works correctly with the stress test script.
Let's check how this job is referenced in the stress test script:
#!/bin/bash # Search for references to job11 or this Makefile in the stress test script rg -l "job11|autograde-Makefile"
1-3:⚠️ Potential issueAdd error handling and improve security measures
The current implementation has several potential issues:
- No error handling for missing files or failed commands
- No validation of extracted contents
- No cleanup of temporary files
Consider applying these improvements:
all: - tar xvf autograde.tar - (cd random; ./driver.sh) + @if [ ! -f autograde.tar ]; then \ + echo "Error: autograde.tar not found"; \ + exit 1; \ + fi + @echo "Extracting autograde.tar..." + @tar xf autograde.tar + @if [ ! -d random ] || [ ! -x random/driver.sh ]; then \ + echo "Error: Invalid archive contents or missing driver.sh"; \ + exit 1; \ + fi + @echo "Running driver script..." + @(cd random && ./driver.sh) + @echo "Cleaning up..." + @rm -rf randomChanges made:
- Added existence checks for required files
- Added validation of extracted contents
- Added cleanup after execution
- Reduced verbosity of tar extraction
- Added error messages
- Made commands quiet with @ prefix
Let's verify the structure of the archive and the driver script:
clients/job11/maxsubarray.py (1)
1-11: Verify numeric input validation.The current implementation assumes all elements in the input list are numbers. Consider adding runtime type checking if this will be used in a testing environment.
Let's check if there are any input validation patterns used in other job directories:
stressTest.py (1)
1-7: LGTM! Clean and well-organized imports.The imports are properly organized with system modules first, followed by local modules.
worker.py (1)
162-162: LGTM: Appropriate timing implementation.The addition of
start_timetracking is well-placed to capture the complete job execution duration, supporting the stress testing functionality.
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Actionable comments posted: 3
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📒 Files selected for processing (2)
- .gitignore (1 hunks)
- stressTest.py (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- .gitignore
🧰 Additional context used
🪛 Ruff
stressTest.py
46-46: Comparison to
Noneshould becond is NoneReplace with
cond is None(E711)
📝 Walkthrough📝 WalkthroughWalkthroughThe changes introduced in this pull request consist of the addition of a new script, Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant StressTest
participant TangoCLI
participant LogFile
User->>StressTest: run_stress_test(params)
StressTest->>TangoCLI: submit job
TangoCLI-->>StressTest: job submission result
StressTest->>LogFile: log job metrics
User->>StressTest: get_metrics(output_file)
StressTest->>LogFile: read job completion metrics
LogFile-->>StressTest: return metrics
StressTest-->>User: output metrics
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (4)
worker.py (3)
162-162: LGTM! Consider enhancing timing granularity.The addition of execution timing is valuable for stress testing. However, consider tracking individual operation timings (waitVM, copyIn, runJob, copyOut) to provide more detailed performance insights.
def run(self): try: + operation_times = {} start_time = time.time() ret = {} # ... existing code ... ret["waitvm"] = self.vmms.waitVM(vm, Config.WAITVM_TIMEOUT) + operation_times["waitvm"] = time.time() - start_time # ... existing code ... ret["copyin"] = self.vmms.copyIn(vm, self.job.input) + operation_times["copyin"] = time.time() - operation_times.get("waitvm", start_time) # ... existing code ... elapsed_secs = time.time() - start_time self.log.info( - "Success: job %s:%d finished after %d seconds" - % (self.job.name, self.job.id, elapsed_secs) + "Success: job %s:%d finished after %d seconds (waitVM: %.2fs, copyIn: %.2fs, ...)" + % (self.job.name, self.job.id, elapsed_secs, + operation_times.get("waitvm", 0), operation_times.get("copyin", 0)) )Also applies to: 323-327
379-379: LGTM! Consider enhancing error logging.The VM detachment error handling is correct, but could benefit from additional logging to track VM lifecycle during error scenarios.
- self.detachVM(return_vm=False, replace_vm=True) + self.log.error("Detaching VM %s due to error: %s" % + (self.vmms.instanceName(vm.id, vm.name), str(err))) + try: + self.detachVM(return_vm=False, replace_vm=True) + self.log.info("Successfully detached and replaced VM %s" % + self.vmms.instanceName(vm.id, vm.name)) + except Exception as e: + self.log.error("Failed to detach VM %s: %s" % + (self.vmms.instanceName(vm.id, vm.name), str(e)))
Line range hint
162-379: Overall changes effectively support stress testing objectives.The addition of timing metrics and enhanced error handling align well with the PR's goal of implementing stress testing functionality. The timing information will be valuable for analyzing system performance under load, while the improved error handling ensures system stability during stress tests.
Consider adding the following metrics to enhance stress test analysis:
- VM allocation/deallocation timing
- Queue wait times
- Resource utilization stats (CPU, memory)
- Error rate tracking
stressTest.py (1)
56-58: Use a non-zero exit code when an error occursWhen
Config.LOGFILEisNone, the program prints an error message and exits with code0, indicating success. It should exit with a non-zero exit code to signal that an error occurred.Update the code to reflect the error status:
if Config.LOGFILE is None: print("Make sure logs are recorded in a log file") - sys.exit(0) + sys.exit(1)
🛑 Comments failed to post (2)
stressTest.py (2)
52-52: 🛠️ Refactor suggestion
Avoid using
sys.exitwithin functionsIt's recommended to avoid calling
sys.exit(0)inside therun_stress_testfunction. Instead, let the function return control to the caller, possibly with a status code or result. This improves modularity and allows the caller to decide how to handle the program flow.Apply this diff to modify the function:
def run_stress_test( num_submissions, submission_delay, autograder_image, output_file, tango_port, tango_path, job_name, job_path, ): ... - sys.exit(0) + returnAnd update the main block to handle the exit:
if __name__ == "__main__": ... if args.get_metrics: get_metrics(args.output_file) else: run_stress_test( args.num_submissions, args.submission_delay, args.autograder_image, args.output_file, args.tango_port, args.tango_path, args.job_name, args.job_path, ) + sys.exit(0)📝 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.return
76-76: 🛠️ Refactor suggestion
Avoid using
sys.exitwithin functionsSimilarly, avoid calling
sys.exit(0)inside theget_metricsfunction. Allow the function to return to the caller, enabling better control over the program's flow.Modify the function as follows:
def get_metrics(output_file): ... - sys.exit(0) + returnAnd update the main block accordingly:
if __name__ == "__main__": ... if args.get_metrics: get_metrics(args.output_file) + sys.exit(0) else: run_stress_test( args.num_submissions, args.submission_delay, args.autograder_image, args.output_file, args.tango_port, args.tango_path, args.job_name, args.job_path, ) + sys.exit(0)
Adds a script for basic stress test functionality. This script uses the Tango CLI to simulate various submissions scenarios. The number of submissions can be adjusted as well as the rate at which they are submitted. Required parameters include the autograder image, the path to the Tango directory, the job name, and the path to the job.
Example command to run script:
To get metrics, simply add --get_metrics True to the end of this command, this will not spawn any new jobs.