Add LogCollector for precise test log boundaries

Problem: Tests used `docker compose logs --since=5m` which caused:
- Log overlap between tests
- Logs from previous tests included
- Missing logs if test exceeded 5 minutes

Solution:
- New LogCollector class runs `docker compose logs --follow`
- Marks test start/end boundaries
- Writes test-specific logs to /tmp/test-{testId}-logs.txt
- Test steps access via TEST_ID environment variable

Changes:
- tests/src/log-collector.ts: New LogCollector class
- tests/src/executor.ts: Integrate LogCollector, set TEST_ID env
- tests/src/cli.ts: Start/stop LogCollector for runtime/inference
- All test cases: Use log collector with fallback to docker compose

Also updated docs/CICD.md with:
- Test runner CLI documentation
- Judge modes (simple, llm, dual)
- Log collector integration
- Updated test case list (12b, 27b models)
- Model unload strategy
- Troubleshooting guide

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Shang Chieh Tseng
2025-12-17 17:46:49 +08:00
parent 82ab6cc96e
commit 2c5094db92
12 changed files with 702 additions and 272 deletions

View File

@@ -1,4 +1,4 @@
# CI/CD Plan for Ollama37 # CI/CD Pipeline for Ollama37
This document describes the CI/CD pipeline for building and testing Ollama37 with Tesla K80 (CUDA compute capability 3.7) support. This document describes the CI/CD pipeline for building and testing Ollama37 with Tesla K80 (CUDA compute capability 3.7) support.
@@ -24,185 +24,269 @@ This document describes the CI/CD pipeline for building and testing Ollama37 wit
│ - Rocky Linux 9.7 │ │ - Rocky Linux 9.7 │
│ - Docker 29.1.3 + Docker Compose 5.0.0 │ │ - Docker 29.1.3 + Docker Compose 5.0.0 │
│ - NVIDIA Container Toolkit │ │ - NVIDIA Container Toolkit │
│ - GitHub Actions Runner (self-hosted, labels: k80, cuda11) │ - GitHub Actions Runner (self-hosted)
│ │
│ Services: │
│ - TestLink (http://localhost:8090) - Test management │
│ - TestLink MCP - Claude Code integration │
│ │
└─────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────┐
│ SERVE NODE │
│ │
│ Services: │
│ - Ollama (production) │
│ - Dify (LLM application platform) │
│ │ │ │
└─────────────────────────────────────────────────────────────────────────┘ └─────────────────────────────────────────────────────────────────────────┘
``` ```
## Build Strategy: Docker-Based ## Test Framework
We use the two-stage Docker build system located in `/docker/`: ### Test Runner CLI
### Stage 1: Builder Image (Cached) The test runner is located in `tests/src/` and provides a CLI tool:
**Image:** `ollama37-builder:latest` (~15GB) ```bash
cd tests
npm run dev -- run [options]
```
**Contents:** **Commands:**
- `run` - Execute test cases
- `list` - List all available test cases
**Options:**
| Option | Default | Description |
|--------|---------|-------------|
| `-s, --suite <suite>` | all | Filter by suite (build, runtime, inference) |
| `-i, --id <id>` | - | Run specific test by ID |
| `-w, --workers <n>` | 1 | Parallel worker count |
| `-d, --dry-run` | false | Preview without executing |
| `-o, --output <format>` | console | Output format: console, json, junit |
| `--no-llm` | false | Skip LLM, use simple exit code check only |
| `--judge-model <model>` | gemma3:12b | Model for LLM judging |
| `--dual-judge` | true | Run both simple and LLM judge |
| `--ollama-url <url>` | localhost:11434 | Test subject server |
| `--judge-url <url>` | localhost:11435 | Separate judge instance |
### Judge Modes
The test framework supports three judge modes:
| Mode | Flag | Description |
|------|------|-------------|
| **Simple** | `--no-llm` | Exit code checking only (exit 0 = pass) |
| **LLM** | `--judge-model` | Semantic analysis of test logs using LLM |
| **Dual** | `--dual-judge` | Both must pass (default) |
**LLM Judge:**
- Analyzes test execution logs semantically
- Detects hidden issues (e.g., CUDA errors with exit 0)
- Uses configurable model (default: gemma3:12b)
- Batches tests for efficient judging
**Simple Judge:**
- Fast, deterministic
- Checks exit codes only
- Fallback when LLM unavailable
### Log Collector
The test framework includes a log collector that solves log overlap issues:
**Problem:** `docker compose logs --since=5m` can include logs from previous tests or miss logs if a test exceeds 5 minutes.
**Solution:** LogCollector class that:
1. Runs `docker compose logs --follow` as background process
2. Marks test start/end boundaries
3. Writes test-specific logs to `/tmp/test-{testId}-logs.txt`
4. Provides precise logs for each test
Test steps access logs via:
```bash
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
```
## GitHub Workflows
Located in `.github/workflows/`:
| Workflow | Purpose |
|----------|---------|
| `build.yml` | Docker image build verification |
| `runtime.yml` | Container startup and GPU detection |
| `inference.yml` | Model inference tests (4b, 12b, 27b) |
| `full-pipeline.yml` | Orchestrates all stages sequentially |
### Workflow Inputs
| Parameter | Default | Options | Description |
|-----------|---------|---------|-------------|
| `judge_mode` | dual | simple, llm, dual | Judge strategy |
| `judge_model` | gemma3:12b | Any model | LLM for evaluation |
| `use_existing_container` | false | true, false | Reuse running container |
| `keep_container` | false | true, false | Leave container running |
### Example: Run Inference Tests
```bash
# Manual trigger via GitHub Actions UI
# Or via gh CLI:
gh workflow run inference.yml \
-f judge_mode=dual \
-f judge_model=gemma3:12b
```
## Test Suites
### Build Suite (3 tests)
| ID | Name | Timeout | Description |
|----|------|---------|-------------|
| TC-BUILD-001 | Builder Image Verification | 2m | Verify builder image exists |
| TC-BUILD-002 | Runtime Image Build | 30m | Build runtime image |
| TC-BUILD-003 | Image Size Validation | 30s | Check image sizes |
### Runtime Suite (3 tests)
| ID | Name | Timeout | Description |
|----|------|---------|-------------|
| TC-RUNTIME-001 | Container Startup | 2m | Start container with GPU |
| TC-RUNTIME-002 | GPU Detection | 2m | Verify K80 detected |
| TC-RUNTIME-003 | Health Check | 3m | API health verification |
### Inference Suite (5 tests)
| ID | Name | Model | Timeout | Description |
|----|------|-------|---------|-------------|
| TC-INFERENCE-001 | Model Pull | gemma3:4b | 10m | Pull and warmup 4b model |
| TC-INFERENCE-002 | Basic Inference | gemma3:4b | 3m | Simple prompt test |
| TC-INFERENCE-003 | API Endpoint Test | gemma3:4b | 2m | REST API verification |
| TC-INFERENCE-004 | Medium Model | gemma3:12b | 10m | 12b inference (single GPU) |
| TC-INFERENCE-005 | Large Model Dual-GPU | gemma3:27b | 15m | 27b inference (dual GPU) |
### Model Unload Strategy
Each model size test unloads its model after completion:
```
4b tests (001-003) → unload 4b
12b test (004) → unload 12b
27b test (005) → unload 27b
```
Workflow-level cleanup (`if: always()`) provides safety fallback.
## Test Case Structure
Test cases are YAML files in `tests/testcases/{suite}/`:
```yaml
id: TC-INFERENCE-002
name: Basic Inference
suite: inference
priority: 2
timeout: 180000
dependencies:
- TC-INFERENCE-001
steps:
- name: Run simple math question
command: docker exec ollama37 ollama run gemma3:4b "What is 2+2?"
timeout: 120000
- name: Check for errors in logs
command: |
if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=5m 2>&1)
fi
# Check for CUDA errors...
criteria: |
Expected:
- Model responds with "4" or equivalent
- NO CUBLAS_STATUS_ errors
- NO CUDA errors
```
## Build System
### Docker Images
**Builder Image:** `ollama37-builder:latest` (~15GB)
- Rocky Linux 8 - Rocky Linux 8
- CUDA 11.4 toolkit - CUDA 11.4 toolkit
- GCC 10 (built from source) - GCC 10, CMake 4.0, Go 1.25.3
- CMake 4.0 (built from source) - Build time: ~90 minutes (cached)
- Go 1.25.3
**Build time:** ~90 minutes (first time only, then cached) **Runtime Image:** `ollama37:latest` (~18GB)
- Built from GitHub source
- Build time: ~10 minutes
### Build Commands
**Build command:**
```bash ```bash
cd docker && make build-builder cd docker
# Build base image (first time only)
make build-builder
# Build runtime from GitHub
make build-runtime
# Build without cache
make build-runtime-no-cache
# Build from local source
make build-runtime-local
``` ```
### Stage 2: Runtime Image (Per Build) ## Running Tests Locally
**Image:** `ollama37:latest` (~18GB) ### Prerequisites
**Process:** 1. Docker with NVIDIA runtime
1. Clone source from GitHub 2. Node.js 20+
2. Configure with CMake ("CUDA 11" preset) 3. Tesla K80 GPU (or compatible)
3. Build C/C++/CUDA libraries
4. Build Go binary
5. Package runtime environment
**Build time:** ~10 minutes ### Quick Start
**Build command:**
```bash ```bash
cd docker && make build-runtime # Start the container
cd docker && docker compose up -d
# Install test runner
cd tests && npm ci
# Run all tests with dual judge
npm run dev -- run --dual-judge
# Run specific suite
npm run dev -- run --suite inference
# Run single test
npm run dev -- run --id TC-INFERENCE-002
# Simple mode (no LLM)
npm run dev -- run --no-llm
# JSON output
npm run dev -- run -o json > results.json
``` ```
## Pipeline Stages ### Test Output
### Stage 1: Docker Build Results are saved to `/tmp/`:
- `/tmp/build-results.json`
- `/tmp/runtime-results.json`
- `/tmp/inference-results.json`
**Trigger:** Push to `main` branch JSON structure:
```json
**Steps:** {
1. Checkout repository "summary": {
2. Ensure builder image exists (build if not) "total": 5,
3. Build runtime image: `make build-runtime` "passed": 5,
4. Verify image created successfully "failed": 0,
"timestamp": "2025-12-17T...",
**Test Cases:** "simple": { "passed": 5, "failed": 0 },
- TC-BUILD-001: Builder Image Verification "llm": { "passed": 5, "failed": 0 }
- TC-BUILD-002: Runtime Image Build },
- TC-BUILD-003: Image Size Validation "results": [...]
}
### Stage 2: Container Startup ```
**Steps:**
1. Start container with GPU: `docker compose up -d`
2. Wait for health check to pass
3. Verify Ollama server is responding
**Test Cases:**
- TC-RUNTIME-001: Container Startup
- TC-RUNTIME-002: GPU Detection
- TC-RUNTIME-003: Health Check
### Stage 3: Inference Tests
**Steps:**
1. Pull test model (gemma3:4b)
2. Run inference tests
3. Verify CUBLAS legacy fallback
**Test Cases:**
- TC-INFERENCE-001: Model Pull
- TC-INFERENCE-002: Basic Inference
- TC-INFERENCE-003: API Endpoint Test
- TC-INFERENCE-004: CUBLAS Fallback Verification
### Stage 4: Cleanup & Report
**Steps:**
1. Stop container: `docker compose down`
2. Report results to TestLink
3. Clean up resources
## Test Case Design
### Build Tests (Suite: Build Tests)
| ID | Name | Type | Description |
|----|------|------|-------------|
| TC-BUILD-001 | Builder Image Verification | Automated | Verify builder image exists with correct tools |
| TC-BUILD-002 | Runtime Image Build | Automated | Build runtime image from GitHub source |
| TC-BUILD-003 | Image Size Validation | Automated | Verify image sizes are within expected range |
### Runtime Tests (Suite: Runtime Tests)
| ID | Name | Type | Description |
|----|------|------|-------------|
| TC-RUNTIME-001 | Container Startup | Automated | Start container with GPU passthrough |
| TC-RUNTIME-002 | GPU Detection | Automated | Verify Tesla K80 detected inside container |
| TC-RUNTIME-003 | Health Check | Automated | Verify Ollama health check passes |
### Inference Tests (Suite: Inference Tests)
| ID | Name | Type | Description |
|----|------|------|-------------|
| TC-INFERENCE-001 | Model Pull | Automated | Pull gemma3:4b model |
| TC-INFERENCE-002 | Basic Inference | Automated | Run simple prompt and verify response |
| TC-INFERENCE-003 | API Endpoint Test | Automated | Test /api/generate endpoint |
| TC-INFERENCE-004 | CUBLAS Fallback Verification | Automated | Verify legacy CUBLAS functions used |
## GitHub Actions Workflow
**File:** `.github/workflows/build-test.yml`
**Triggers:**
- Push to `main` branch
- Pull request to `main` branch
- Manual trigger (workflow_dispatch)
**Runner:** Self-hosted with labels `[self-hosted, k80, cuda11]`
**Jobs:**
1. `build` - Build Docker runtime image
2. `test` - Run inference tests in container
3. `report` - Report results to TestLink
## TestLink Integration
**URL:** http://localhost:8090
**Project:** ollama37
**Test Suites:**
- Build Tests
- Runtime Tests
- Inference Tests
**Test Plan:** Created per release/sprint
**Builds:** Created per CI run (commit SHA)
**Execution Recording:**
- Each test case result recorded via TestLink API
- Pass/Fail status with notes
- Linked to specific build/commit
## Makefile Targets for CI
| Target | Description | When to Use |
|--------|-------------|-------------|
| `make build-builder` | Build base image | First time setup |
| `make build-runtime` | Build from GitHub | Normal CI builds |
| `make build-runtime-no-cache` | Fresh GitHub clone | When cache is stale |
| `make build-runtime-local` | Build from local | Local testing |
## Environment Variables ## Environment Variables
@@ -222,76 +306,19 @@ cd docker && make build-runtime
| `OLLAMA_DEBUG` | 1 (optional) | Enable debug logging | | `OLLAMA_DEBUG` | 1 (optional) | Enable debug logging |
| `GGML_CUDA_DEBUG` | 1 (optional) | Enable CUDA debug | | `GGML_CUDA_DEBUG` | 1 (optional) | Enable CUDA debug |
### TestLink Environment ### Test Environment
| Variable | Value | Description | | Variable | Description |
|----------|-------|-------------| |----------|-------------|
| `TESTLINK_URL` | http://localhost:8090 | TestLink server URL | | `TEST_ID` | Current test ID (set by executor) |
| `TESTLINK_API_KEY` | (configured) | API key for automation | | `OLLAMA_HOST` | Test subject URL |
## Prerequisites
### One-Time Setup on CI/CD Node
1. **Install GitHub Actions Runner:**
```bash
mkdir -p ~/actions-runner && cd ~/actions-runner
curl -o actions-runner-linux-x64-2.321.0.tar.gz -L \
https://github.com/actions/runner/releases/download/v2.321.0/actions-runner-linux-x64-2.321.0.tar.gz
tar xzf ./actions-runner-linux-x64-2.321.0.tar.gz
./config.sh --url https://github.com/dogkeeper886/ollama37 --token YOUR_TOKEN --labels k80,cuda11
sudo ./svc.sh install && sudo ./svc.sh start
```
2. **Build Builder Image (one-time, ~90 min):**
```bash
cd /home/jack/src/ollama37/docker
make build-builder
```
3. **Verify GPU Access in Docker:**
```bash
docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
```
4. **Start TestLink:**
```bash
cd /home/jack/src/testlink-code
docker compose up -d
```
## Monitoring & Logs
### View CI/CD Logs
```bash
# GitHub Actions Runner logs
journalctl -u actions.runner.* -f
# Docker build logs
docker compose logs -f
# TestLink logs
cd /home/jack/src/testlink-code && docker compose logs -f
```
### Test Results
- **TestLink Dashboard:** http://localhost:8090
- **GitHub Actions:** https://github.com/dogkeeper886/ollama37/actions
## Troubleshooting ## Troubleshooting
### Builder Image Missing
```bash
cd docker && make build-builder
```
### GPU Not Detected in Container ### GPU Not Detected in Container
```bash ```bash
# Check UVM device files on host # Check UVM device files
ls -l /dev/nvidia-uvm* ls -l /dev/nvidia-uvm*
# Create if missing # Create if missing
@@ -301,18 +328,72 @@ nvidia-modprobe -u -c=0
docker compose restart docker compose restart
``` ```
### Build Cache Stale ### LLM Judge Timeout
```bash ```bash
# Use simple mode
npm run dev -- run --no-llm
# Or increase judge model size
npm run dev -- run --judge-model gemma3:4b
```
### Log Collector Issues
If test step can't find logs:
```bash
# Check log file exists
ls -l /tmp/test-*-logs.txt
# Fallback to direct logs
docker compose logs --since=5m
```
### Build Failures
```bash
# Clean build
cd docker && make build-runtime-no-cache cd docker && make build-runtime-no-cache
# Check builder image
docker images | grep ollama37-builder
``` ```
### TestLink Connection Failed ## Error Patterns
```bash The test framework checks for these critical errors:
# Check TestLink is running
curl http://localhost:8090 | Pattern | Severity | Description |
|---------|----------|-------------|
| `CUBLAS_STATUS_*` | Critical | CUDA/cuBLAS error (K80-specific) |
| `CUDA error` | Critical | General CUDA failure |
| `cudaMalloc failed` | Critical | GPU memory allocation failure |
| `out of memory` | Critical | VRAM exhausted |
| `level=ERROR` | Warning | Ollama application error |
| `panic`, `fatal` | Critical | Runtime crash |
| `id=cpu library=cpu` | Critical | CPU-only fallback (GPU not detected) |
## File Structure
# Restart if needed ```
cd /home/jack/src/testlink-code && docker compose restart tests/
├── src/
│ ├── cli.ts # CLI entry point
│ ├── executor.ts # Test execution engine
│ ├── judge.ts # LLM/simple judging
│ ├── loader.ts # YAML test case parser
│ ├── log-collector.ts # Docker log collector
│ ├── reporter.ts # Output formatters
│ └── types.ts # Type definitions
├── testcases/
│ ├── build/ # Build test cases
│ ├── runtime/ # Runtime test cases
│ └── inference/ # Inference test cases
└── package.json
.github/workflows/
├── build.yml # Build verification
├── runtime.yml # Container/GPU tests
├── inference.yml # Model inference tests
└── full-pipeline.yml # Complete pipeline
``` ```

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@@ -9,6 +9,7 @@ import { TestExecutor } from "./executor.js";
import { LLMJudge } from "./judge.js"; import { LLMJudge } from "./judge.js";
import { Reporter, TestLinkReporter } from "./reporter.js"; import { Reporter, TestLinkReporter } from "./reporter.js";
import { RunnerOptions, Judgment } from "./types.js"; import { RunnerOptions, Judgment } from "./types.js";
import { LogCollector } from "./log-collector.js";
const __dirname = path.dirname(fileURLToPath(import.meta.url)); const __dirname = path.dirname(fileURLToPath(import.meta.url));
const defaultTestcasesDir = path.join(__dirname, "..", "testcases"); const defaultTestcasesDir = path.join(__dirname, "..", "testcases");
@@ -68,9 +69,12 @@ program
log("=".repeat(60)); log("=".repeat(60));
const loader = new TestLoader(options.testcasesDir); const loader = new TestLoader(options.testcasesDir);
const executor = new TestExecutor(path.join(__dirname, "..", "..")); const projectRoot = path.join(__dirname, "..", "..");
const judge = new LLMJudge(options.judgeUrl, options.judgeModel); const judge = new LLMJudge(options.judgeUrl, options.judgeModel);
// LogCollector will be created if running runtime or inference tests
let logCollector: LogCollector | undefined;
// Load test cases // Load test cases
log("\nLoading test cases..."); log("\nLoading test cases...");
let testCases = await loader.loadAll(); let testCases = await loader.loadAll();
@@ -107,10 +111,38 @@ program
process.exit(0); process.exit(0);
} }
// Check if we need log collector (runtime or inference tests)
const needsLogCollector = testCases.some(
(tc) => tc.suite === "runtime" || tc.suite === "inference"
);
if (needsLogCollector) {
log("\nStarting log collector...");
logCollector = new LogCollector(projectRoot);
try {
await logCollector.start();
log(" Log collector started");
} catch (error) {
log(` Warning: Log collector failed to start: ${error}`);
log(" Tests will run without precise log collection");
logCollector = undefined;
}
}
// Create executor with optional log collector
const executor = new TestExecutor(projectRoot, logCollector);
// Execute tests (progress goes to stderr via executor) // Execute tests (progress goes to stderr via executor)
const workers = parseInt(options.workers); const workers = parseInt(options.workers);
const results = await executor.executeAll(testCases, workers); const results = await executor.executeAll(testCases, workers);
// Stop log collector if running
if (logCollector) {
log("\nStopping log collector...");
await logCollector.stop();
log(" Log collector stopped");
}
// Judge results // Judge results
log("\nJudging results..."); log("\nJudging results...");
let judgments: Judgment[]; let judgments: Judgment[];

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@@ -1,6 +1,7 @@
import { exec } from 'child_process' import { exec } from 'child_process'
import { promisify } from 'util' import { promisify } from 'util'
import { TestCase, TestResult, StepResult } from './types.js' import { TestCase, TestResult, StepResult } from './types.js'
import { LogCollector } from './log-collector.js'
const execAsync = promisify(exec) const execAsync = promisify(exec)
@@ -17,9 +18,12 @@ export class TestExecutor {
private workingDir: string private workingDir: string
private totalTests: number = 0 private totalTests: number = 0
private currentTest: number = 0 private currentTest: number = 0
private logCollector: LogCollector | null = null
private currentTestId: string | null = null
constructor(workingDir: string = process.cwd()) { constructor(workingDir: string = process.cwd(), logCollector?: LogCollector) {
this.workingDir = workingDir this.workingDir = workingDir
this.logCollector = logCollector || null
} }
// Progress output goes to stderr (visible in console) // Progress output goes to stderr (visible in console)
@@ -34,12 +38,24 @@ export class TestExecutor {
let exitCode = 0 let exitCode = 0
let timedOut = false let timedOut = false
// Build environment with TEST_ID for log access
const env = { ...process.env }
if (this.currentTestId) {
env.TEST_ID = this.currentTestId
}
// Update log file before each step so test can access current logs
if (this.logCollector && this.currentTestId) {
this.logCollector.writeCurrentLogs(this.currentTestId)
}
try { try {
const result = await execAsync(command, { const result = await execAsync(command, {
cwd: this.workingDir, cwd: this.workingDir,
timeout, timeout,
maxBuffer: 10 * 1024 * 1024, // 10MB buffer maxBuffer: 10 * 1024 * 1024, // 10MB buffer
shell: '/bin/bash' shell: '/bin/bash',
env
}) })
stdout = result.stdout stdout = result.stdout
stderr = result.stderr stderr = result.stderr
@@ -77,8 +93,14 @@ export class TestExecutor {
const timestamp = new Date().toISOString().substring(11, 19) const timestamp = new Date().toISOString().substring(11, 19)
this.currentTest++ this.currentTest++
this.currentTestId = testCase.id
this.progress(`[${timestamp}] [${this.currentTest}/${this.totalTests}] ${testCase.id}: ${testCase.name}`) this.progress(`[${timestamp}] [${this.currentTest}/${this.totalTests}] ${testCase.id}: ${testCase.name}`)
// Mark test start for log collection
if (this.logCollector) {
this.logCollector.markTestStart(testCase.id)
}
for (let i = 0; i < testCase.steps.length; i++) { for (let i = 0; i < testCase.steps.length; i++) {
const step = testCase.steps[i] const step = testCase.steps[i]
const stepTimestamp = new Date().toISOString().substring(11, 19) const stepTimestamp = new Date().toISOString().substring(11, 19)
@@ -106,6 +128,12 @@ export class TestExecutor {
const totalDuration = Date.now() - startTime const totalDuration = Date.now() - startTime
// Mark test end for log collection
if (this.logCollector) {
this.logCollector.markTestEnd(testCase.id)
}
this.currentTestId = null
// Combine all logs // Combine all logs
const logs = stepResults.map(r => { const logs = stepResults.map(r => {
return `=== Step: ${r.name} === return `=== Step: ${r.name} ===

200
tests/src/log-collector.ts Normal file
View File

@@ -0,0 +1,200 @@
import { spawn, ChildProcess } from "child_process";
import { writeFileSync } from "fs";
import path from "path";
interface LogEntry {
timestamp: Date;
line: string;
}
interface TestMarker {
start: number;
end?: number;
}
/**
* LogCollector runs `docker compose logs --follow` as a background process
* and captures logs with precise test boundaries.
*
* This solves the log overlap problem where `docker compose logs --since=5m`
* could include logs from previous tests or miss logs if a test exceeds 5 minutes.
*/
export class LogCollector {
private process: ChildProcess | null = null;
private logs: LogEntry[] = [];
private testMarkers: Map<string, TestMarker> = new Map();
private workingDir: string;
private isRunning: boolean = false;
constructor(workingDir: string) {
// workingDir should be the project root, docker-compose.yml is in docker/
this.workingDir = path.join(workingDir, "docker");
}
/**
* Start the log collector background process
*/
async start(): Promise<void> {
if (this.isRunning) {
return;
}
return new Promise((resolve, reject) => {
// Spawn docker compose logs --follow
this.process = spawn("docker", ["compose", "logs", "--follow", "--timestamps"], {
cwd: this.workingDir,
stdio: ["ignore", "pipe", "pipe"],
});
this.isRunning = true;
// Handle stdout (main log output)
this.process.stdout?.on("data", (data: Buffer) => {
const lines = data.toString().split("\n").filter((l) => l.trim());
for (const line of lines) {
this.logs.push({
timestamp: new Date(),
line: line,
});
}
});
// Handle stderr (docker compose messages)
this.process.stderr?.on("data", (data: Buffer) => {
const lines = data.toString().split("\n").filter((l) => l.trim());
for (const line of lines) {
this.logs.push({
timestamp: new Date(),
line: `[stderr] ${line}`,
});
}
});
this.process.on("error", (err) => {
this.isRunning = false;
reject(err);
});
this.process.on("close", (code) => {
this.isRunning = false;
});
// Give it a moment to start
setTimeout(() => {
if (this.isRunning) {
resolve();
} else {
reject(new Error("Log collector failed to start"));
}
}, 500);
});
}
/**
* Stop the log collector background process
*/
async stop(): Promise<void> {
if (!this.process || !this.isRunning) {
return;
}
return new Promise((resolve) => {
this.process!.on("close", () => {
this.isRunning = false;
resolve();
});
this.process!.kill("SIGTERM");
// Force kill after 5 seconds
setTimeout(() => {
if (this.isRunning && this.process) {
this.process.kill("SIGKILL");
}
resolve();
}, 5000);
});
}
/**
* Mark the start of a test - records current log index
*/
markTestStart(testId: string): void {
this.testMarkers.set(testId, {
start: this.logs.length,
});
}
/**
* Mark the end of a test - records current log index and writes logs to file
*/
markTestEnd(testId: string): void {
const marker = this.testMarkers.get(testId);
if (marker) {
marker.end = this.logs.length;
// Write logs to temp file for test steps to access
const logs = this.getLogsForTest(testId);
const filePath = `/tmp/test-${testId}-logs.txt`;
writeFileSync(filePath, logs);
}
}
/**
* Get logs for a specific test (between start and end markers)
*/
getLogsForTest(testId: string): string {
const marker = this.testMarkers.get(testId);
if (!marker) {
return "";
}
const endIndex = marker.end ?? this.logs.length;
const testLogs = this.logs.slice(marker.start, endIndex);
return testLogs.map((entry) => entry.line).join("\n");
}
/**
* Get all logs collected so far
*/
getAllLogs(): string {
return this.logs.map((entry) => entry.line).join("\n");
}
/**
* Get logs since a specific index
*/
getLogsSince(startIndex: number): string {
return this.logs.slice(startIndex).map((entry) => entry.line).join("\n");
}
/**
* Get current log count (useful for tracking)
*/
getLogCount(): number {
return this.logs.length;
}
/**
* Check if the collector is running
*/
isActive(): boolean {
return this.isRunning;
}
/**
* Write current test logs to file (call during test execution)
* This allows test steps to access logs accumulated so far
*/
writeCurrentLogs(testId: string): void {
const marker = this.testMarkers.get(testId);
if (!marker) {
return;
}
const testLogs = this.logs.slice(marker.start);
const filePath = `/tmp/test-${testId}-logs.txt`;
writeFileSync(filePath, testLogs.map((entry) => entry.line).join("\n"));
}
}

View File

@@ -27,8 +27,12 @@ steps:
- name: Verify model loading in logs - name: Verify model loading in logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== Model Loading Check ===" echo "=== Model Loading Check ==="
@@ -58,8 +62,12 @@ steps:
- name: Verify llama runner started - name: Verify llama runner started
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== Llama Runner Check ===" echo "=== Llama Runner Check ==="
@@ -74,8 +82,12 @@ steps:
- name: Check for model loading errors - name: Check for model loading errors
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== Model Loading Error Check ===" echo "=== Model Loading Error Check ==="
@@ -97,8 +109,12 @@ steps:
- name: Display model memory allocation from logs - name: Display model memory allocation from logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== Model Memory Allocation ===" echo "=== Model Memory Allocation ==="
echo "$LOGS" | grep -E '(model weights|kv cache|compute graph|total memory).*device=' | tail -8 echo "$LOGS" | grep -E '(model weights|kv cache|compute graph|total memory).*device=' | tail -8

View File

@@ -17,8 +17,12 @@ steps:
- name: Check for inference errors in logs - name: Check for inference errors in logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=5m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=5m 2>&1)
fi
echo "=== Inference Error Check ===" echo "=== Inference Error Check ==="
@@ -47,8 +51,12 @@ steps:
- name: Verify inference request in logs - name: Verify inference request in logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=5m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=5m 2>&1)
fi
echo "=== Inference Request Verification ===" echo "=== Inference Request Verification ==="
@@ -69,8 +77,12 @@ steps:
- name: Display recent CUDA activity from logs - name: Display recent CUDA activity from logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=5m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=5m 2>&1)
fi
echo "=== Recent CUDA Activity ===" echo "=== Recent CUDA Activity ==="
echo "$LOGS" | grep -iE "(CUDA|cuda|device=CUDA)" | tail -5 || echo "No recent CUDA activity logged" echo "$LOGS" | grep -iE "(CUDA|cuda|device=CUDA)" | tail -5 || echo "No recent CUDA activity logged"

View File

@@ -22,8 +22,12 @@ steps:
- name: Verify API requests logged successfully - name: Verify API requests logged successfully
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=5m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=5m 2>&1)
fi
echo "=== API Request Log Verification ===" echo "=== API Request Log Verification ==="
@@ -40,8 +44,12 @@ steps:
- name: Check for API errors in logs - name: Check for API errors in logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=5m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=5m 2>&1)
fi
echo "=== API Error Check ===" echo "=== API Error Check ==="
@@ -64,8 +72,12 @@ steps:
- name: Display API response times from logs - name: Display API response times from logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=5m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=5m 2>&1)
fi
echo "=== API Response Times ===" echo "=== API Response Times ==="

View File

@@ -27,8 +27,12 @@ steps:
- name: Verify model loaded to GPU - name: Verify model loaded to GPU
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=5m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=5m 2>&1)
fi
echo "=== Model Loading Check for gemma3:12b ===" echo "=== Model Loading Check for gemma3:12b ==="
@@ -63,8 +67,12 @@ steps:
- name: Check for inference errors - name: Check for inference errors
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=5m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=5m 2>&1)
fi
echo "=== Inference Error Check ===" echo "=== Inference Error Check ==="

View File

@@ -39,8 +39,12 @@ steps:
- name: Verify model loaded across GPUs - name: Verify model loaded across GPUs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=10m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=10m 2>&1)
fi
echo "=== Model Loading Check for gemma3:27b ===" echo "=== Model Loading Check for gemma3:27b ==="
@@ -96,8 +100,12 @@ steps:
- name: Check for inference errors - name: Check for inference errors
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs --since=10m 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs --since=10m 2>&1)
fi
echo "=== Inference Error Check ===" echo "=== Inference Error Check ==="

View File

@@ -22,12 +22,21 @@ steps:
- name: Capture startup logs - name: Capture startup logs
command: | command: |
cd docker && docker compose logs 2>&1 | head -100 # Use log collector file if available, fallback to docker compose logs
if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
head -100 /tmp/test-${TEST_ID}-logs.txt
else
cd docker && docker compose logs 2>&1 | head -100
fi
- name: Check for startup errors in logs - name: Check for startup errors in logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
# Check for critical errors # Check for critical errors
if echo "$LOGS" | grep -qE "(level=ERROR|CUBLAS_STATUS_|CUDA error|cudaMalloc failed)"; then if echo "$LOGS" | grep -qE "(level=ERROR|CUBLAS_STATUS_|CUDA error|cudaMalloc failed)"; then

View File

@@ -30,8 +30,12 @@ steps:
- name: Verify GPU detection in Ollama logs - name: Verify GPU detection in Ollama logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== GPU Detection Check ===" echo "=== GPU Detection Check ==="
@@ -60,8 +64,12 @@ steps:
- name: Check for GPU-related errors in logs - name: Check for GPU-related errors in logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== GPU Error Check ===" echo "=== GPU Error Check ==="
@@ -82,8 +90,12 @@ steps:
- name: Display GPU memory status from logs - name: Display GPU memory status from logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== GPU Memory Status ===" echo "=== GPU Memory Status ==="
echo "$LOGS" | grep -E "gpu memory.*library=CUDA" | tail -4 echo "$LOGS" | grep -E "gpu memory.*library=CUDA" | tail -4

View File

@@ -30,8 +30,12 @@ steps:
- name: Verify server listening in logs - name: Verify server listening in logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== Server Status Check ===" echo "=== Server Status Check ==="
@@ -46,8 +50,12 @@ steps:
- name: Check for runtime errors in logs - name: Check for runtime errors in logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== Runtime Error Check ===" echo "=== Runtime Error Check ==="
@@ -71,8 +79,12 @@ steps:
- name: Verify API request handling in logs - name: Verify API request handling in logs
command: | command: |
cd docker # Use log collector file if available, fallback to docker compose logs
LOGS=$(docker compose logs 2>&1) if [ -f "/tmp/test-${TEST_ID}-logs.txt" ]; then
LOGS=$(cat /tmp/test-${TEST_ID}-logs.txt)
else
LOGS=$(cd docker && docker compose logs 2>&1)
fi
echo "=== API Request Logs ===" echo "=== API Request Logs ==="