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import json
import os
import re
import sys
import time
from collections import defaultdict
from datetime import datetime
from typing import Dict, List, Optional, Tuple
import requests
class SGLangTestBalanceAnalyzer:
def __init__(self, token: str):
self.token = token
self.base_url = "https://api.github.com"
self.repo = "sgl-project/sglang"
self.headers = {
"Authorization": f"token {token}",
"Accept": "application/vnd.github.v3+json",
"User-Agent": "SGLang-Test-Balance-Analyzer/1.0",
}
self.session = requests.Session()
self.session.headers.update(self.headers)
self.test_time_pattern = re.compile(
r"filename='([^']+)',\s*elapsed=(\d+),\s*estimated_time=(\d+)"
)
def get_recent_runs(self, limit: int = 1000) -> List[Dict]:
print(f"Fetching {limit} recent CI runs...")
all_runs = []
page = 1
per_page = 100
while len(all_runs) < limit:
url = f"{self.base_url}/repos/{self.repo}/actions/runs"
params = {"per_page": min(per_page, limit - len(all_runs)), "page": page}
try:
response = self.session.get(url, params=params)
response.raise_for_status()
data = response.json()
if not data.get("workflow_runs"):
break
all_runs.extend(data["workflow_runs"])
print(f"Fetched {len(all_runs)} runs so far...")
if len(data["workflow_runs"]) < per_page:
break
page += 1
time.sleep(0.1)
except requests.exceptions.RequestException as e:
print(f"Error fetching CI data: {e}")
break
return all_runs[:limit]
def get_job_logs(self, run_id: int, job_name: str) -> Optional[str]:
try:
jobs_url = f"{self.base_url}/repos/{self.repo}/actions/runs/{run_id}/jobs"
response = self.session.get(jobs_url)
response.raise_for_status()
jobs_data = response.json()
target_job = None
for job in jobs_data.get("jobs", []):
if job.get("name", "") == job_name:
target_job = job
break
if not target_job:
return None
logs_url = f"{self.base_url}/repos/{self.repo}/actions/jobs/{target_job['id']}/logs"
response = self.session.get(logs_url)
response.raise_for_status()
return response.text
except Exception as e:
if "404" not in str(e):
print(f"Failed to get job {job_name} logs: {e}")
return None
def get_all_jobs_for_run(self, run_id: int) -> List[Dict]:
try:
jobs_url = f"{self.base_url}/repos/{self.repo}/actions/runs/{run_id}/jobs"
response = self.session.get(jobs_url)
response.raise_for_status()
jobs_data = response.json()
return jobs_data.get("jobs", [])
except Exception as e:
print(f"Failed to get jobs for run {run_id}: {e}")
return []
def get_job_logs_by_id(self, job_id: int) -> Optional[str]:
try:
logs_url = f"{self.base_url}/repos/{self.repo}/actions/jobs/{job_id}/logs"
response = self.session.get(logs_url)
response.raise_for_status()
return response.text
except Exception as e:
if "404" not in str(e):
print(f"Failed to get job {job_id} logs: {e}")
return None
def parse_test_times(self, log_content: str) -> List[Dict]:
if not log_content:
return []
test_times = []
matches = self.test_time_pattern.findall(log_content)
filtered_count = 0
for match in matches:
filename, elapsed_str, estimated_str = match
try:
elapsed = int(elapsed_str)
estimated = int(estimated_str)
gap = elapsed - estimated
if self._is_abnormal_test_data(
elapsed, estimated, log_content, filename
):
filtered_count += 1
continue
test_times.append(
{
"filename": filename,
"elapsed": elapsed,
"estimated": estimated,
"gap": gap,
}
)
except ValueError:
continue
return test_times
def _is_abnormal_test_data(
self, elapsed: int, estimated: int, log_content: str, filename: str
) -> bool:
# To avoid collect retry data
if elapsed % estimated == 0:
return True
return False
def collect_test_balance_data(self, runs: List[Dict]) -> Dict[str, Dict]:
print("Starting test balance data collection...")
test_gaps = defaultdict(
lambda: {
"max_gap": 0,
"max_elapsed": 0,
"max_estimated": 0,
"max_gap_run_info": {},
"total_runs": 0,
"all_gaps": [],
}
)
total_tests_parsed = 0
abnormal_tests_filtered = 0
target_job_prefixes = [
"stage-a-test-1",
"unit-test-backend-1-gpu",
"unit-test-backend-2-gpu",
"stage-b-test-4-gpu-b200",
"unit-test-backend-4-gpu",
"unit-test-backend-8-gpu-h200",
"unit-test-backend-8-gpu-h20",
"unit-test-backend-4-gpu-b200",
"unit-test-backend-4-gpu-gb200",
"unit-test-deepep-4-gpu",
"unit-test-deepep-8-gpu",
"unit-test-backend-8-gpu-deepseek-v32",
"performance-test-1-gpu-part-1",
"performance-test-1-gpu-part-2",
"performance-test-1-gpu-part-3",
"performance-test-2-gpu",
"accuracy-test-1-gpu",
"accuracy-test-2-gpu",
]
total_runs = len(runs)
for i, run in enumerate(runs, 1):
if i % 10 == 0 or i == total_runs:
print(f"Processing run {i}/{total_runs}: #{run.get('run_number')}")
workflow_name = run.get("name", "")
if "AMD" in workflow_name or "amd" in workflow_name.lower():
continue
run_info = {
"run_number": run.get("run_number"),
"created_at": run.get("created_at"),
"head_sha": run.get("head_sha", "")[:8],
"author": run.get("head_commit", {})
.get("author", {})
.get("name", "Unknown"),
"url": f"https://github.com/{self.repo}/actions/runs/{run.get('id')}",
}
pull_requests = run.get("pull_requests", [])
if pull_requests:
run_info["pr_number"] = pull_requests[0].get("number")
all_jobs = self.get_all_jobs_for_run(run.get("id"))
for job in all_jobs:
job_name = job.get("name", "")
job_id = job.get("id")
matches_prefix = False
for prefix in target_job_prefixes:
if job_name.startswith(prefix):
matches_prefix = True
break
if not matches_prefix:
continue
logs = self.get_job_logs_by_id(job_id)
if not logs:
continue
test_times = self.parse_test_times(logs)
total_tests_parsed += len(test_times)
for test_data in test_times:
filename = test_data["filename"]
elapsed = test_data["elapsed"]
estimated = test_data["estimated"]
gap = test_data["gap"]
test_stats = test_gaps[filename]
test_stats["total_runs"] += 1
test_stats["all_gaps"].append(gap)
if gap > test_stats["max_gap"]:
test_stats["max_gap"] = gap
test_stats["max_elapsed"] = elapsed
test_stats["max_estimated"] = estimated
test_stats["max_gap_run_info"] = {
**run_info,
"job_name": job_name,
"job_url": f"https://github.com/{self.repo}/actions/runs/{run.get('id')}/job/{job_id}",
}
time.sleep(0.1)
return dict(test_gaps)
def generate_balance_report(
self, test_data: Dict[str, Dict], output_file: str = "test_balance_report.json"
):
print("\n" + "=" * 80)
print("SGLang Test Balance Analysis Report (PR Test GPU Jobs)")
print("=" * 80)
sorted_tests = sorted(
test_data.items(), key=lambda x: x[1]["max_gap"], reverse=True
)
print(f"\nTotal tests analyzed: {len(sorted_tests)}")
print(
f"Tests with significant gaps (>100s): {len([t for t in sorted_tests if t[1]['max_gap'] > 100])}"
)
print(
f"Tests with large gaps (>300s): {len([t for t in sorted_tests if t[1]['max_gap'] > 300])}"
)
print(
f"Note: Abnormal test data (due to failures/retries) has been filtered out"
)
report_data = {
"summary": {
"total_tests": len(sorted_tests),
"tests_with_gaps_over_100s": len(
[t for t in sorted_tests if t[1]["max_gap"] > 100]
),
"tests_with_gaps_over_300s": len(
[t for t in sorted_tests if t[1]["max_gap"] > 300]
),
"analysis_timestamp": datetime.now().isoformat(),
},
"test_balance_table": [],
}
print(f"\nTop 50 PR Test GPU Jobs with Largest Time Gaps:")
print("-" * 100)
print(
f"{'Rank':<4} {'Test File':<40} {'Max Gap':<8} {'Max Elapsed':<12} {'Max Estimated':<15} {'Job Name':<25}"
)
print("-" * 100)
for i, (filename, stats) in enumerate(sorted_tests[:50], 1):
test_name = filename.split("/")[-1] if "/" in filename else filename
job_name = (
stats["max_gap_run_info"].get("job_name", "Unknown")
if stats["max_gap_run_info"]
else "Unknown"
)
print(
f"{i:<4} {test_name:<40} {stats['max_gap']:<8} {stats['max_elapsed']:<12} {stats['max_estimated']:<15} {job_name:<25}"
)
report_data["test_balance_table"].append(
{
"rank": i,
"filename": filename,
"test_name": test_name,
"max_gap": stats["max_gap"],
"max_elapsed": stats["max_elapsed"],
"max_estimated": stats["max_estimated"],
"max_gap_run_info": stats["max_gap_run_info"],
"total_runs": stats["total_runs"],
}
)
with open(output_file, "w", encoding="utf-8") as f:
json.dump(report_data, f, ensure_ascii=False, indent=2)
print(f"\nDetailed report saved to: {output_file}")
return report_data
def generate_github_summary(self, report_data: Dict):
try:
github_step_summary = os.environ.get("GITHUB_STEP_SUMMARY")
if not github_step_summary:
print("Not running in GitHub Actions, skipping summary generation")
return
print("Generating GitHub Actions summary for Test Balance Analysis...")
summary_lines = []
summary_lines.append(
"# SGLang Test Balance Analysis Report (PR Test GPU Jobs)"
)
summary_lines.append("")
summary_lines.append(
f"**Analysis Timestamp:** {report_data['summary']['analysis_timestamp']}"
)
summary_lines.append("")
summary_lines.append("## Summary Statistics")
summary_lines.append("")
summary_lines.append("| Metric | Count |")
summary_lines.append("|--------|-------|")
summary_lines.append(
f"| Total Tests Analyzed | {report_data['summary']['total_tests']} |"
)
summary_lines.append(
f"| Tests with Gaps > 100s | {report_data['summary']['tests_with_gaps_over_100s']} |"
)
summary_lines.append(
f"| Tests with Gaps > 300s | {report_data['summary']['tests_with_gaps_over_300s']} |"
)
summary_lines.append("")
summary_lines.append("## Top 30 PR Test GPU Jobs with Largest Time Gaps")
summary_lines.append("")
summary_lines.append(
"| Rank | Test File | Max Gap (s) | Max Elapsed (s) | Max Estimated (s) | Job Name | Job Link | Total Runs |"
)
summary_lines.append(
"|------|-----------|-------------|----------------|------------------|---------|----------|------------|"
)
for test in report_data["test_balance_table"][:30]:
test_name = test["test_name"]
if len(test_name) > 30:
test_name = test_name[:27] + "..."
job_name = (
test["max_gap_run_info"].get("job_name", "Unknown")
if test["max_gap_run_info"]
else "Unknown"
)
job_url = (
test["max_gap_run_info"].get("job_url", "")
if test["max_gap_run_info"]
else ""
)
job_link = f"[{job_name}]({job_url})" if job_url else job_name
summary_lines.append(
f"| {test['rank']} | `{test_name}` | {test['max_gap']} | {test['max_elapsed']} | {test['max_estimated']} | {job_name} | [{job_name}]({job_url}) | {test['total_runs']} |"
)
summary_lines.append("")
summary_lines.append("## Recommendations")
summary_lines.append("")
summary_lines.append(
"Based on the analysis above, consider adjusting estimated times for tests with large gaps:"
)
summary_lines.append("")
top_5_tests = report_data["test_balance_table"][:5]
for test in top_5_tests:
test_name = test["test_name"]
if len(test_name) > 40:
test_name = test_name[:37] + "..."
suggested_estimated = test["max_elapsed"] + 50
summary_lines.append(
f"- **{test_name}**: Current max elapsed: {test['max_elapsed']}s, suggested estimated: {suggested_estimated}s"
)
summary_lines.append("")
summary_lines.append(
"Set estimated times to be slightly higher than the maximum observed elapsed time to avoid CI timeouts."
)
with open(github_step_summary, "w", encoding="utf-8") as f:
f.write("\n".join(summary_lines))
print("GitHub Actions summary generated successfully")
except Exception as e:
print(f"Failed to generate GitHub Actions summary: {e}")
def save_csv_report(
self, report_data: Dict, output_file: str = "test_balance_report.csv"
):
import csv
with open(output_file, "w", encoding="utf-8", newline="") as f:
writer = csv.writer(f)
writer.writerow(
[
"Rank",
"Test File",
"Test Name",
"Max Gap (s)",
"Max Elapsed (s)",
"Max Estimated (s)",
"Job Name",
"Max Gap Job URL",
"Total Runs",
]
)
for test in report_data["test_balance_table"]:
max_job_url = (
test["max_gap_run_info"].get("job_url", "")
if test["max_gap_run_info"]
else ""
)
job_name = (
test["max_gap_run_info"].get("job_name", "Unknown")
if test["max_gap_run_info"]
else "Unknown"
)
writer.writerow(
[
test["rank"],
test["filename"],
test["test_name"],
test["max_gap"],
test["max_elapsed"],
test["max_estimated"],
job_name,
max_job_url,
test["total_runs"],
]
)
print(f"CSV report saved to: {output_file}")
def main():
parser = argparse.ArgumentParser(description="SGLang Test Balance Analyzer")
parser.add_argument("--token", required=True, help="GitHub Personal Access Token")
parser.add_argument(
"--limit",
type=int,
default=1000,
help="Number of runs to analyze (default: 1000)",
)
parser.add_argument(
"--output",
default="test_balance_report.json",
help="Output file (default: test_balance_report.json)",
)
args = parser.parse_args()
analyzer = SGLangTestBalanceAnalyzer(args.token)
try:
runs = analyzer.get_recent_runs(args.limit)
if not runs:
print("No CI run data found")
return
test_data = analyzer.collect_test_balance_data(runs)
if not test_data:
print("No test balance data found")
return
report_data = analyzer.generate_balance_report(test_data, args.output)
csv_output = args.output.replace(".json", ".csv")
analyzer.save_csv_report(report_data, csv_output)
analyzer.generate_github_summary(report_data)
except Exception as e:
print(f"Error during analysis: {e}")
import traceback
traceback.print_exc()
sys.exit(1)
if __name__ == "__main__":
main()
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