Fix multi-user authentication and clean up debug code

- Fix YAML tags in auth config struct (json -> yaml)
- Update CLI configs to use pre-hashed API keys
- Remove double hashing in WebSocket client
- Fix port mapping (9102 -> 9103) in CLI commands
- Update permission keys to use jobs:read, jobs:create, etc.
- Clean up all debug logging from CLI and server
- All user roles now authenticate correctly:
  * Admin: Can queue jobs and see all jobs
  * Researcher: Can queue jobs and see own jobs
  * Analyst: Can see status (read-only access)

Multi-user authentication is now fully functional.
This commit is contained in:
Jeremie Fraeys 2025-12-06 12:35:32 -05:00
parent 10a3afaafb
commit ea15af1833
219 changed files with 28033 additions and 3781 deletions

91
.github/workflows/benchmark-metrics.yml vendored Normal file
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@ -0,0 +1,91 @@
name: Benchmark Metrics
on:
push:
branches: [ main, develop ]
pull_request:
branches: [ main ]
schedule:
- cron: '0 6 * * *' # Daily at 6 AM UTC
workflow_dispatch:
jobs:
benchmark:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Setup Go
uses: actions/setup-go@v4
with:
go-version: '1.21'
- name: Cache Go modules
uses: actions/cache@v3
with:
path: ~/go/pkg/mod
key: ${{ runner.os }}-go-${{ hashFiles('**/go.sum') }}
- name: Run benchmarks
run: |
echo "Running performance benchmarks..."
go test -bench=. -benchmem ./tests/benchmarks/... > benchmark_results.txt 2>&1
# Extract benchmark results
grep "Benchmark.*-[0-9].*" benchmark_results.txt > clean_benchmarks.txt || true
- name: Convert to Prometheus metrics
run: |
# Create Prometheus metrics file
echo "# HELP benchmark_time_per_op Time per operation in nanoseconds" > prometheus_metrics.txt
echo "# TYPE benchmark_time_per_op gauge" >> prometheus_metrics.txt
echo "# HELP benchmark_memory_per_op Memory per operation in bytes" >> prometheus_metrics.txt
echo "# TYPE benchmark_memory_per_op gauge" >> prometheus_metrics.txt
echo "# HELP benchmark_allocs_per_op Allocations per operation" >> prometheus_metrics.txt
echo "# TYPE benchmark_allocs_per_op gauge" >> prometheus_metrics.txt
# Parse benchmark results and convert to Prometheus format
while IFS= read -r line; do
if [[ -n "$line" ]]; then
BENCHMARK_NAME=$(echo "$line" | awk '{print $1}' | sed 's/-[0-9]*$//')
ITERATIONS=$(echo "$line" | awk '{print $2}')
TIME_PER_OP=$(echo "$line" | awk '{print $3}')
MEMORY_PER_OP=$(echo "$line" | awk '{print $4}')
ALLOCS_PER_OP=$(echo "$line" | awk '{print $5}')
# Clean benchmark name for Prometheus
CLEAN_NAME=$(echo "$BENCHMARK_NAME" | sed 's/[^a-zA-Z0-9_]/_/g')
echo "benchmark_time_per_op{benchmark=\"$CLEAN_NAME\"} ${TIME_PER_OP/ns/}" >> prometheus_metrics.txt
echo "benchmark_memory_per_op{benchmark=\"$CLEAN_NAME\"} ${MEMORY_PER_OP/B\/op/}" >> prometheus_metrics.txt
echo "benchmark_allocs_per_op{benchmark=\"$CLEAN_NAME\"} ${ALLOCS_PER_OP/allocs\/op/}" >> prometheus_metrics.txt
fi
done < clean_benchmarks.txt
- name: Push to Prometheus Pushgateway
run: |
# Push metrics to Prometheus Pushgateway (if configured)
if [ -n "${{ secrets.PROMETHEUS_PUSHGATEWAY_URL }}" ]; then
echo "Pushing metrics to Prometheus..."
curl --data-binary @prometheus_metrics.txt \
"${{ secrets.PROMETHEUS_PUSHGATEWAY_URL }}/metrics/job/benchmark/instance/${{ github.run_id }}"
else
echo "PROMETHEUS_PUSHGATEWAY_URL not configured, skipping push"
fi
- name: Upload benchmark results
uses: actions/upload-artifact@v3
with:
name: benchmark-results-${{ github.run_id }}
path: |
benchmark_results.txt
clean_benchmarks.txt
prometheus_metrics.txt
retention-days: 30
- name: Display results summary
run: |
echo "=== Benchmark Results Summary ==="
cat prometheus_metrics.txt | grep "benchmark_time_per_op" | head -10

View file

@ -207,7 +207,7 @@ jobs:
# Test deployment scripts # Test deployment scripts
./scripts/deploy-secure.sh --help || true ./scripts/deploy-secure.sh --help || true
./scripts/deploy-production.sh --help || true ./scripts/deploy-prod.sh --help || true
security-scan: security-scan:
name: Security Scan name: Security Scan

2
.gitignore vendored
View file

@ -209,7 +209,7 @@ secrets/
cli/src/assets/rsync_release.bin cli/src/assets/rsync_release.bin
# Test files # Test files
test_*.go # test_*.go
*_test_output/ *_test_output/
# Build artifacts # Build artifacts

View file

@ -23,17 +23,10 @@ linters-settings:
line-length: 100 line-length: 100
revive: revive:
confidence: 0.8 confidence: 0.8
depguard:
rules:
main:
allow:
- $gostd
- github.com/jfraeys/fetch_ml
linters: linters:
disable-all: true disable-all: true
enable: enable:
- bodyclose - bodyclose
- depguard
- dogsled - dogsled
- dupl - dupl
- errcheck - errcheck
@ -60,19 +53,37 @@ linters:
- revive - revive
issues: issues:
exclude-rules: exclude-rules:
- path: _test\.go # G306: File permissions - acceptable for test files and scripts
- text: "G306:"
linters:
- gosec
# Exclude linters for test files
- path: ".*_test\\.go"
linters: linters:
- gocyclo - gocyclo
- errcheck - errcheck
- dupl - dupl
- gosec
- lll - lll
- text: "weak cryptographic primitive" - gosec
- revive
# Exclude errcheck for tests directory
- path: "^tests/"
linters:
- errcheck
# approve insecureSkipVerify in test files
- path: _test\.go
text: "insecureSkipVerify"
linters: linters:
- gosec - gosec
- text: "Use of weak random number generator" # Exclude gosec G204 for tests and tools via source match
- source: "exec\\.CommandContext"
path: "(tests|tools)/"
linters: linters:
- gosec - gosec
# Exclude revive for api package naming via source match
- source: "^package api$"
linters:
- revive
max-issues-per-linter: 0 max-issues-per-linter: 0
max-same-issues: 0 max-same-issues: 0
severity: severity:

22
.golintrc Normal file
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@ -0,0 +1,22 @@
# Golint configuration file
# This file configures golint to exclude certain checks that conflict with gosec
# Exclude golint checks that are handled by gosec or are not relevant
# Format: <package>:<check_name>
# Exclude type name stuttering warnings for auth package (handled by gosec)
internal/auth:stutter
# Exclude package comment format warnings for certain packages
internal/config:packageComments
internal/container:packageComments
internal/errors:packageComments
# Exclude blank import warnings for test files
*_test.go:blankImports
# Exclude comment format warnings for certain exported variables
internal/queue:varComment
# Exclude struct field comment warnings
internal/*:structComment

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@ -0,0 +1,21 @@
goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 25867 44784 ns/op 13520 B/op 98 allocs/op
BenchmarkMetricsCollection-24 58569440 19.87 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 104650 ns/op 26708 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 8703 553714 ns/op 18123 B/op 131 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 918 1357144 ns/op 6088 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 908 1351232 ns/op 6466 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 909 1338756 ns/op 6719 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 42 26589647 ns/op 657022 B/op 12350 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 94 12482363 ns/op 794538 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 358 3631202 ns/op 1129266 B/op 1376 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 34 35603358 ns/op 1111297 B/op 12625 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 55 27881781 ns/op 615782 B/op 17884 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12116 98516 ns/op 2933 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 23803464 49.69 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18534 65030 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 28.082s

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@ -0,0 +1,15 @@
BenchmarkAPIServerCreateJobSimple-24 25867 44784 ns/op 13520 B/op 98 allocs/op
BenchmarkMetricsCollection-24 58569440 19.87 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 104650 ns/op 26708 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 8703 553714 ns/op 18123 B/op 131 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 918 1357144 ns/op 6088 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 908 1351232 ns/op 6466 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 909 1338756 ns/op 6719 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 42 26589647 ns/op 657022 B/op 12350 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 94 12482363 ns/op 794538 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 358 3631202 ns/op 1129266 B/op 1376 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 34 35603358 ns/op 1111297 B/op 12625 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 55 27881781 ns/op 615782 B/op 17884 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12116 98516 ns/op 2933 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 23803464 49.69 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18534 65030 ns/op 1285 B/op 36 allocs/op

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@ -0,0 +1,51 @@
# HELP benchmark_time_per_op Time per operation in nanoseconds
# TYPE benchmark_time_per_op gauge
# HELP benchmark_memory_per_op Memory per operation in bytes
# TYPE benchmark_memory_per_op gauge
# HELP benchmark_allocs_per_op Allocations per operation
# TYPE benchmark_allocs_per_op gauge
benchmark_time_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 44784
benchmark_memory_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 13520
benchmark_time_per_op{benchmark="BenchmarkMetricsCollection"} 19.87
benchmark_memory_per_op{benchmark="BenchmarkMetricsCollection"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMetricsCollection"} 0
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 104650
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 26708
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 553714
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 18123
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 1357144
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 6088
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 1351232
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 6466
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 1338756
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 6719
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 26589647
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 657022
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 12482363
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 794538
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 3631202
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 1129266
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 35603358
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 1111297
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 27881781
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 615782
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 98516
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 2933
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 49.69
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 16
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 65030
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 1285

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@ -0,0 +1,141 @@
<!DOCTYPE html>
<html>
<head>
<title>Benchmark Report - 20251204_230712</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; }
table { border-collapse: collapse; width: 100%; }
th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
th { background-color: #f2f2f2; }
.metric { font-family: monospace; }
</style>
</head>
<body>
<h1>Benchmark Report</h1>
<p><strong>Run ID:</strong> 20251204_230712</p>
<p><strong>Date:</strong> Thu Dec 4 18:07:41 EST 2025</p>
<h2>Results</h2>
<table>
<tr>
<th>Benchmark</th>
<th>Time (ns/op)</th>
<th>Memory (B/op)</th>
<th>Allocs (allocs/op)</th>
</tr>
<tr>
<td class="metric">BenchmarkAPIServerCreateJobSimple-24</td>
<td>44784</td>
<td>ns/op</td>
<td>13520</td>
</tr>
<tr>
<td class="metric">BenchmarkMetricsCollection-24</td>
<td>19.87</td>
<td>ns/op</td>
<td>0</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-1-24</td>
<td>104650</td>
<td>ns/op</td>
<td>26708</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-5-24</td>
<td>553714</td>
<td>ns/op</td>
<td>18123</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-10-24</td>
<td>1357144</td>
<td>ns/op</td>
<td>6088</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-25-24</td>
<td>1351232</td>
<td>ns/op</td>
<td>6466</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-50-24</td>
<td>1338756</td>
<td>ns/op</td>
<td>6719</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/SmallExperiment-24</td>
<td>26589647</td>
<td>ns/op</td>
<td>657022</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/MediumExperiment-24</td>
<td>12482363</td>
<td>ns/op</td>
<td>794538</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/LargeExperiment-24</td>
<td>3631202</td>
<td>ns/op</td>
<td>1129266</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ConcurrentExperiments-24</td>
<td>35603358</td>
<td>ns/op</td>
<td>1111297</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ExperimentMetrics-24</td>
<td>27881781</td>
<td>ns/op</td>
<td>615782</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetCreation-24</td>
<td>98516</td>
<td>ns/op</td>
<td>2933</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetRetrieval-24</td>
<td>49.69</td>
<td>ns/op</td>
<td>16</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetUpdate-24</td>
<td>65030</td>
<td>ns/op</td>
<td>1285</td>
</tr>
</table>
<h2>Raw Output</h2>
<pre>goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 25867 44784 ns/op 13520 B/op 98 allocs/op
BenchmarkMetricsCollection-24 58569440 19.87 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 104650 ns/op 26708 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 8703 553714 ns/op 18123 B/op 131 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 918 1357144 ns/op 6088 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 908 1351232 ns/op 6466 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 909 1338756 ns/op 6719 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 42 26589647 ns/op 657022 B/op 12350 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 94 12482363 ns/op 794538 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 358 3631202 ns/op 1129266 B/op 1376 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 34 35603358 ns/op 1111297 B/op 12625 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 55 27881781 ns/op 615782 B/op 17884 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12116 98516 ns/op 2933 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 23803464 49.69 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18534 65030 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 28.082s</pre>
</body>
</html>

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@ -0,0 +1,21 @@
goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 28656 43062 ns/op 13518 B/op 98 allocs/op
BenchmarkMetricsCollection-24 59213934 19.29 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 108510 ns/op 26825 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9895 657334 ns/op 16807 B/op 124 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 914 1346314 ns/op 6032 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 885 1350853 ns/op 6289 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 853 1346826 ns/op 6431 B/op 75 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 43 26357159 ns/op 657854 B/op 12354 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 92 12494936 ns/op 794812 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 348 3659886 ns/op 1129733 B/op 1376 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 40 32637755 ns/op 1114183 B/op 12636 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 56 27153394 ns/op 615897 B/op 17885 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 10000 102638 ns/op 2921 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 20641564 50.73 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 20919 65724 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 26.755s

View file

@ -0,0 +1,15 @@
BenchmarkAPIServerCreateJobSimple-24 28656 43062 ns/op 13518 B/op 98 allocs/op
BenchmarkMetricsCollection-24 59213934 19.29 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 108510 ns/op 26825 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9895 657334 ns/op 16807 B/op 124 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 914 1346314 ns/op 6032 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 885 1350853 ns/op 6289 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 853 1346826 ns/op 6431 B/op 75 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 43 26357159 ns/op 657854 B/op 12354 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 92 12494936 ns/op 794812 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 348 3659886 ns/op 1129733 B/op 1376 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 40 32637755 ns/op 1114183 B/op 12636 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 56 27153394 ns/op 615897 B/op 17885 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 10000 102638 ns/op 2921 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 20641564 50.73 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 20919 65724 ns/op 1285 B/op 36 allocs/op

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@ -0,0 +1,51 @@
# HELP benchmark_time_per_op Time per operation in nanoseconds
# TYPE benchmark_time_per_op gauge
# HELP benchmark_memory_per_op Memory per operation in bytes
# TYPE benchmark_memory_per_op gauge
# HELP benchmark_allocs_per_op Allocations per operation
# TYPE benchmark_allocs_per_op gauge
benchmark_time_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 43062
benchmark_memory_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 13518
benchmark_time_per_op{benchmark="BenchmarkMetricsCollection"} 19.29
benchmark_memory_per_op{benchmark="BenchmarkMetricsCollection"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMetricsCollection"} 0
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 108510
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 26825
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 657334
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 16807
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 1346314
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 6032
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 1350853
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 6289
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 1346826
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 6431
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 26357159
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 657854
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 12494936
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 794812
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 3659886
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 1129733
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 32637755
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 1114183
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 27153394
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 615897
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 102638
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 2921
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 50.73
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 16
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 65724
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 1285

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<!DOCTYPE html>
<html>
<head>
<title>Benchmark Report - 20251204_231218</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; }
table { border-collapse: collapse; width: 100%; }
th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
th { background-color: #f2f2f2; }
.metric { font-family: monospace; }
</style>
</head>
<body>
<h1>Benchmark Report</h1>
<p><strong>Run ID:</strong> 20251204_231218</p>
<p><strong>Date:</strong> Thu Dec 4 18:12:46 EST 2025</p>
<h2>Results</h2>
<table>
<tr>
<th>Benchmark</th>
<th>Time (ns/op)</th>
<th>Memory (B/op)</th>
<th>Allocs (allocs/op)</th>
</tr>
<tr>
<td class="metric">BenchmarkAPIServerCreateJobSimple-24</td>
<td>43062</td>
<td>ns/op</td>
<td>13518</td>
</tr>
<tr>
<td class="metric">BenchmarkMetricsCollection-24</td>
<td>19.29</td>
<td>ns/op</td>
<td>0</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-1-24</td>
<td>108510</td>
<td>ns/op</td>
<td>26825</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-5-24</td>
<td>657334</td>
<td>ns/op</td>
<td>16807</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-10-24</td>
<td>1346314</td>
<td>ns/op</td>
<td>6032</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-25-24</td>
<td>1350853</td>
<td>ns/op</td>
<td>6289</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-50-24</td>
<td>1346826</td>
<td>ns/op</td>
<td>6431</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/SmallExperiment-24</td>
<td>26357159</td>
<td>ns/op</td>
<td>657854</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/MediumExperiment-24</td>
<td>12494936</td>
<td>ns/op</td>
<td>794812</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/LargeExperiment-24</td>
<td>3659886</td>
<td>ns/op</td>
<td>1129733</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ConcurrentExperiments-24</td>
<td>32637755</td>
<td>ns/op</td>
<td>1114183</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ExperimentMetrics-24</td>
<td>27153394</td>
<td>ns/op</td>
<td>615897</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetCreation-24</td>
<td>102638</td>
<td>ns/op</td>
<td>2921</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetRetrieval-24</td>
<td>50.73</td>
<td>ns/op</td>
<td>16</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetUpdate-24</td>
<td>65724</td>
<td>ns/op</td>
<td>1285</td>
</tr>
</table>
<h2>Raw Output</h2>
<pre>goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 28656 43062 ns/op 13518 B/op 98 allocs/op
BenchmarkMetricsCollection-24 59213934 19.29 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 108510 ns/op 26825 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9895 657334 ns/op 16807 B/op 124 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 914 1346314 ns/op 6032 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 885 1350853 ns/op 6289 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 853 1346826 ns/op 6431 B/op 75 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 43 26357159 ns/op 657854 B/op 12354 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 92 12494936 ns/op 794812 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 348 3659886 ns/op 1129733 B/op 1376 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 40 32637755 ns/op 1114183 B/op 12636 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 56 27153394 ns/op 615897 B/op 17885 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 10000 102638 ns/op 2921 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 20641564 50.73 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 20919 65724 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 26.755s</pre>
</body>
</html>

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goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 28408 45304 ns/op 13517 B/op 98 allocs/op
BenchmarkMetricsCollection-24 60437035 19.88 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 106089 ns/op 26846 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9220 579691 ns/op 17615 B/op 128 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 925 1348616 ns/op 6050 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 927 1340898 ns/op 6529 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 916 1333626 ns/op 6694 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 43 26542657 ns/op 656983 B/op 12350 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 100 12121203 ns/op 794420 B/op 6253 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 358 3704013 ns/op 1128981 B/op 1374 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 34 32337061 ns/op 1113039 B/op 12630 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 52 26482224 ns/op 615734 B/op 17883 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12356 101514 ns/op 2934 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 24143787 49.80 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18423 65515 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 28.641s

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BenchmarkAPIServerCreateJobSimple-24 28408 45304 ns/op 13517 B/op 98 allocs/op
BenchmarkMetricsCollection-24 60437035 19.88 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 106089 ns/op 26846 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9220 579691 ns/op 17615 B/op 128 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 925 1348616 ns/op 6050 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 927 1340898 ns/op 6529 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 916 1333626 ns/op 6694 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 43 26542657 ns/op 656983 B/op 12350 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 100 12121203 ns/op 794420 B/op 6253 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 358 3704013 ns/op 1128981 B/op 1374 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 34 32337061 ns/op 1113039 B/op 12630 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 52 26482224 ns/op 615734 B/op 17883 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12356 101514 ns/op 2934 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 24143787 49.80 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18423 65515 ns/op 1285 B/op 36 allocs/op

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# HELP benchmark_time_per_op Time per operation in nanoseconds
# TYPE benchmark_time_per_op gauge
# HELP benchmark_memory_per_op Memory per operation in bytes
# TYPE benchmark_memory_per_op gauge
# HELP benchmark_allocs_per_op Allocations per operation
# TYPE benchmark_allocs_per_op gauge
benchmark_time_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 45304
benchmark_memory_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 13517
benchmark_time_per_op{benchmark="BenchmarkMetricsCollection"} 19.88
benchmark_memory_per_op{benchmark="BenchmarkMetricsCollection"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMetricsCollection"} 0
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 106089
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 26846
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 579691
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 17615
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 1348616
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 6050
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 1340898
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 6529
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 1333626
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 6694
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 26542657
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 656983
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 12121203
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 794420
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 3704013
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 1128981
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 32337061
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 1113039
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 26482224
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 615734
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 101514
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 2934
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 49.80
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 16
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 65515
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 1285

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<!DOCTYPE html>
<html>
<head>
<title>Benchmark Report - 20251204_231255</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; }
table { border-collapse: collapse; width: 100%; }
th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
th { background-color: #f2f2f2; }
.metric { font-family: monospace; }
</style>
</head>
<body>
<h1>Benchmark Report</h1>
<p><strong>Run ID:</strong> 20251204_231255</p>
<p><strong>Date:</strong> Thu Dec 4 18:13:24 EST 2025</p>
<h2>Results</h2>
<table>
<tr>
<th>Benchmark</th>
<th>Time (ns/op)</th>
<th>Memory (B/op)</th>
<th>Allocs (allocs/op)</th>
</tr>
<tr>
<td class="metric">BenchmarkAPIServerCreateJobSimple-24</td>
<td>45304</td>
<td>ns/op</td>
<td>13517</td>
</tr>
<tr>
<td class="metric">BenchmarkMetricsCollection-24</td>
<td>19.88</td>
<td>ns/op</td>
<td>0</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-1-24</td>
<td>106089</td>
<td>ns/op</td>
<td>26846</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-5-24</td>
<td>579691</td>
<td>ns/op</td>
<td>17615</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-10-24</td>
<td>1348616</td>
<td>ns/op</td>
<td>6050</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-25-24</td>
<td>1340898</td>
<td>ns/op</td>
<td>6529</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-50-24</td>
<td>1333626</td>
<td>ns/op</td>
<td>6694</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/SmallExperiment-24</td>
<td>26542657</td>
<td>ns/op</td>
<td>656983</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/MediumExperiment-24</td>
<td>12121203</td>
<td>ns/op</td>
<td>794420</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/LargeExperiment-24</td>
<td>3704013</td>
<td>ns/op</td>
<td>1128981</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ConcurrentExperiments-24</td>
<td>32337061</td>
<td>ns/op</td>
<td>1113039</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ExperimentMetrics-24</td>
<td>26482224</td>
<td>ns/op</td>
<td>615734</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetCreation-24</td>
<td>101514</td>
<td>ns/op</td>
<td>2934</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetRetrieval-24</td>
<td>49.80</td>
<td>ns/op</td>
<td>16</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetUpdate-24</td>
<td>65515</td>
<td>ns/op</td>
<td>1285</td>
</tr>
</table>
<h2>Raw Output</h2>
<pre>goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 28408 45304 ns/op 13517 B/op 98 allocs/op
BenchmarkMetricsCollection-24 60437035 19.88 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 106089 ns/op 26846 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9220 579691 ns/op 17615 B/op 128 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 925 1348616 ns/op 6050 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 927 1340898 ns/op 6529 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 916 1333626 ns/op 6694 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 43 26542657 ns/op 656983 B/op 12350 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 100 12121203 ns/op 794420 B/op 6253 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 358 3704013 ns/op 1128981 B/op 1374 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 34 32337061 ns/op 1113039 B/op 12630 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 52 26482224 ns/op 615734 B/op 17883 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12356 101514 ns/op 2934 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 24143787 49.80 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18423 65515 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 28.641s</pre>
</body>
</html>

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@ -0,0 +1,21 @@
goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 28129 45677 ns/op 13532 B/op 98 allocs/op
BenchmarkMetricsCollection-24 59903404 19.48 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 105817 ns/op 26610 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 8654 545199 ns/op 18285 B/op 132 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 904 1350040 ns/op 6043 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 924 1332526 ns/op 6228 B/op 72 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 952 1339113 ns/op 6724 B/op 75 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 45 26355390 ns/op 657327 B/op 12351 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 92 12034762 ns/op 794688 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 351 3763459 ns/op 1129490 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 37 30668937 ns/op 1112708 B/op 12626 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 56 26930825 ns/op 615839 B/op 17885 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12364 102242 ns/op 2935 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 23809105 50.50 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18494 65564 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 27.143s

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@ -0,0 +1,15 @@
BenchmarkAPIServerCreateJobSimple-24 28129 45677 ns/op 13532 B/op 98 allocs/op
BenchmarkMetricsCollection-24 59903404 19.48 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 105817 ns/op 26610 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 8654 545199 ns/op 18285 B/op 132 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 904 1350040 ns/op 6043 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 924 1332526 ns/op 6228 B/op 72 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 952 1339113 ns/op 6724 B/op 75 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 45 26355390 ns/op 657327 B/op 12351 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 92 12034762 ns/op 794688 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 351 3763459 ns/op 1129490 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 37 30668937 ns/op 1112708 B/op 12626 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 56 26930825 ns/op 615839 B/op 17885 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12364 102242 ns/op 2935 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 23809105 50.50 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18494 65564 ns/op 1285 B/op 36 allocs/op

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# HELP benchmark_time_per_op Time per operation in nanoseconds
# TYPE benchmark_time_per_op gauge
# HELP benchmark_memory_per_op Memory per operation in bytes
# TYPE benchmark_memory_per_op gauge
# HELP benchmark_allocs_per_op Allocations per operation
# TYPE benchmark_allocs_per_op gauge
benchmark_time_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 45677
benchmark_memory_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 13532
benchmark_time_per_op{benchmark="BenchmarkMetricsCollection"} 19.48
benchmark_memory_per_op{benchmark="BenchmarkMetricsCollection"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMetricsCollection"} 0
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 105817
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 26610
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 545199
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 18285
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 1350040
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 6043
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 1332526
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 6228
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 1339113
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 6724
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 26355390
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 657327
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 12034762
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 794688
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 3763459
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 1129490
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 30668937
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 1112708
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 26930825
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 615839
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 102242
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 2935
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 50.50
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 16
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 65564
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 1285

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<!DOCTYPE html>
<html>
<head>
<title>Benchmark Report - 20251204_231459</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; }
table { border-collapse: collapse; width: 100%; }
th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
th { background-color: #f2f2f2; }
.metric { font-family: monospace; }
</style>
</head>
<body>
<h1>Benchmark Report</h1>
<p><strong>Run ID:</strong> 20251204_231459</p>
<p><strong>Date:</strong> Thu Dec 4 18:15:28 EST 2025</p>
<h2>Results</h2>
<table>
<tr>
<th>Benchmark</th>
<th>Time (ns/op)</th>
<th>Memory (B/op)</th>
<th>Allocs (allocs/op)</th>
</tr>
<tr>
<td class="metric">BenchmarkAPIServerCreateJobSimple-24</td>
<td>45677</td>
<td>ns/op</td>
<td>13532</td>
</tr>
<tr>
<td class="metric">BenchmarkMetricsCollection-24</td>
<td>19.48</td>
<td>ns/op</td>
<td>0</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-1-24</td>
<td>105817</td>
<td>ns/op</td>
<td>26610</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-5-24</td>
<td>545199</td>
<td>ns/op</td>
<td>18285</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-10-24</td>
<td>1350040</td>
<td>ns/op</td>
<td>6043</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-25-24</td>
<td>1332526</td>
<td>ns/op</td>
<td>6228</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-50-24</td>
<td>1339113</td>
<td>ns/op</td>
<td>6724</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/SmallExperiment-24</td>
<td>26355390</td>
<td>ns/op</td>
<td>657327</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/MediumExperiment-24</td>
<td>12034762</td>
<td>ns/op</td>
<td>794688</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/LargeExperiment-24</td>
<td>3763459</td>
<td>ns/op</td>
<td>1129490</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ConcurrentExperiments-24</td>
<td>30668937</td>
<td>ns/op</td>
<td>1112708</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ExperimentMetrics-24</td>
<td>26930825</td>
<td>ns/op</td>
<td>615839</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetCreation-24</td>
<td>102242</td>
<td>ns/op</td>
<td>2935</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetRetrieval-24</td>
<td>50.50</td>
<td>ns/op</td>
<td>16</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetUpdate-24</td>
<td>65564</td>
<td>ns/op</td>
<td>1285</td>
</tr>
</table>
<h2>Raw Output</h2>
<pre>goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 28129 45677 ns/op 13532 B/op 98 allocs/op
BenchmarkMetricsCollection-24 59903404 19.48 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 105817 ns/op 26610 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 8654 545199 ns/op 18285 B/op 132 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 904 1350040 ns/op 6043 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 924 1332526 ns/op 6228 B/op 72 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 952 1339113 ns/op 6724 B/op 75 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 45 26355390 ns/op 657327 B/op 12351 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 92 12034762 ns/op 794688 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 351 3763459 ns/op 1129490 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 37 30668937 ns/op 1112708 B/op 12626 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 56 26930825 ns/op 615839 B/op 17885 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12364 102242 ns/op 2935 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 23809105 50.50 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18494 65564 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 27.143s</pre>
</body>
</html>

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@ -0,0 +1,21 @@
goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 26200 44608 ns/op 13514 B/op 98 allocs/op
BenchmarkMetricsCollection-24 58956229 19.88 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 108040 ns/op 26965 B/op 163 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 10000 657977 ns/op 16658 B/op 123 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 843 1342869 ns/op 6078 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 902 1356405 ns/op 6555 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 907 1341416 ns/op 6429 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 39 26197300 ns/op 657330 B/op 12352 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 100 12172133 ns/op 794610 B/op 6253 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 348 3686597 ns/op 1129573 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 33 33467878 ns/op 1111544 B/op 12626 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 57 27330560 ns/op 615815 B/op 17885 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12249 97669 ns/op 2934 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 24545986 50.01 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18687 65891 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 28.732s

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@ -0,0 +1,15 @@
BenchmarkAPIServerCreateJobSimple-24 26200 44608 ns/op 13514 B/op 98 allocs/op
BenchmarkMetricsCollection-24 58956229 19.88 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 108040 ns/op 26965 B/op 163 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 10000 657977 ns/op 16658 B/op 123 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 843 1342869 ns/op 6078 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 902 1356405 ns/op 6555 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 907 1341416 ns/op 6429 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 39 26197300 ns/op 657330 B/op 12352 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 100 12172133 ns/op 794610 B/op 6253 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 348 3686597 ns/op 1129573 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 33 33467878 ns/op 1111544 B/op 12626 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 57 27330560 ns/op 615815 B/op 17885 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12249 97669 ns/op 2934 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 24545986 50.01 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18687 65891 ns/op 1285 B/op 36 allocs/op

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@ -0,0 +1,51 @@
# HELP benchmark_time_per_op Time per operation in nanoseconds
# TYPE benchmark_time_per_op gauge
# HELP benchmark_memory_per_op Memory per operation in bytes
# TYPE benchmark_memory_per_op gauge
# HELP benchmark_allocs_per_op Allocations per operation
# TYPE benchmark_allocs_per_op gauge
benchmark_time_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 44608
benchmark_memory_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 13514
benchmark_time_per_op{benchmark="BenchmarkMetricsCollection"} 19.88
benchmark_memory_per_op{benchmark="BenchmarkMetricsCollection"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMetricsCollection"} 0
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 108040
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 26965
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 657977
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 16658
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 1342869
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 6078
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 1356405
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 6555
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 1341416
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 6429
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 26197300
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 657330
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 12172133
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 794610
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 3686597
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 1129573
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 33467878
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 1111544
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 27330560
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 615815
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 97669
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 2934
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 50.01
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 16
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 65891
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 1285

View file

@ -0,0 +1,21 @@
goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 27906 45877 ns/op 13520 B/op 98 allocs/op
BenchmarkMetricsCollection-24 59125434 19.91 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 106563 ns/op 26651 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9916 580762 ns/op 16774 B/op 124 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 902 1361628 ns/op 6050 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 913 1341660 ns/op 6645 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 902 1339436 ns/op 6130 B/op 73 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 42 26144707 ns/op 657412 B/op 12352 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 99 12045172 ns/op 794945 B/op 6255 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 350 3655986 ns/op 1129633 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 30 37392029 ns/op 1111096 B/op 12623 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 52 26943573 ns/op 615802 B/op 17883 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12285 101658 ns/op 2934 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 24175867 50.53 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18481 65640 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 29.026s

View file

@ -0,0 +1,15 @@
BenchmarkAPIServerCreateJobSimple-24 27906 45877 ns/op 13520 B/op 98 allocs/op
BenchmarkMetricsCollection-24 59125434 19.91 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 106563 ns/op 26651 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9916 580762 ns/op 16774 B/op 124 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 902 1361628 ns/op 6050 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 913 1341660 ns/op 6645 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 902 1339436 ns/op 6130 B/op 73 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 42 26144707 ns/op 657412 B/op 12352 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 99 12045172 ns/op 794945 B/op 6255 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 350 3655986 ns/op 1129633 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 30 37392029 ns/op 1111096 B/op 12623 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 52 26943573 ns/op 615802 B/op 17883 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12285 101658 ns/op 2934 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 24175867 50.53 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18481 65640 ns/op 1285 B/op 36 allocs/op

View file

@ -0,0 +1,51 @@
# HELP benchmark_time_per_op Time per operation in nanoseconds
# TYPE benchmark_time_per_op gauge
# HELP benchmark_memory_per_op Memory per operation in bytes
# TYPE benchmark_memory_per_op gauge
# HELP benchmark_allocs_per_op Allocations per operation
# TYPE benchmark_allocs_per_op gauge
benchmark_time_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 45877
benchmark_memory_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 13520
benchmark_time_per_op{benchmark="BenchmarkMetricsCollection"} 19.91
benchmark_memory_per_op{benchmark="BenchmarkMetricsCollection"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMetricsCollection"} 0
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 106563
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 26651
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 580762
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 16774
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 1361628
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 6050
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 1341660
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 6645
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 1339436
benchmark_memory_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 6130
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 26144707
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 657412
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 12045172
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 794945
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 3655986
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 1129633
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 37392029
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 1111096
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 26943573
benchmark_memory_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 615802
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 101658
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 2934
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 50.53
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 16
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 65640
benchmark_memory_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} ns/op
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 1285

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<!DOCTYPE html>
<html>
<head>
<title>Benchmark Report - 20251204_231712</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; }
table { border-collapse: collapse; width: 100%; }
th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
th { background-color: #f2f2f2; }
.metric { font-family: monospace; }
</style>
</head>
<body>
<h1>Benchmark Report</h1>
<p><strong>Run ID:</strong> 20251204_231712</p>
<p><strong>Date:</strong> Thu Dec 4 18:17:42 EST 2025</p>
<h2>Results</h2>
<table>
<tr>
<th>Benchmark</th>
<th>Time (ns/op)</th>
<th>Memory (B/op)</th>
<th>Allocs (allocs/op)</th>
</tr>
<tr>
<td class="metric">BenchmarkAPIServerCreateJobSimple-24</td>
<td>45877</td>
<td>ns/op</td>
<td>13520</td>
</tr>
<tr>
<td class="metric">BenchmarkMetricsCollection-24</td>
<td>19.91</td>
<td>ns/op</td>
<td>0</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-1-24</td>
<td>106563</td>
<td>ns/op</td>
<td>26651</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-5-24</td>
<td>580762</td>
<td>ns/op</td>
<td>16774</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-10-24</td>
<td>1361628</td>
<td>ns/op</td>
<td>6050</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-25-24</td>
<td>1341660</td>
<td>ns/op</td>
<td>6645</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-50-24</td>
<td>1339436</td>
<td>ns/op</td>
<td>6130</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/SmallExperiment-24</td>
<td>26144707</td>
<td>ns/op</td>
<td>657412</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/MediumExperiment-24</td>
<td>12045172</td>
<td>ns/op</td>
<td>794945</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/LargeExperiment-24</td>
<td>3655986</td>
<td>ns/op</td>
<td>1129633</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ConcurrentExperiments-24</td>
<td>37392029</td>
<td>ns/op</td>
<td>1111096</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ExperimentMetrics-24</td>
<td>26943573</td>
<td>ns/op</td>
<td>615802</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetCreation-24</td>
<td>101658</td>
<td>ns/op</td>
<td>2934</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetRetrieval-24</td>
<td>50.53</td>
<td>ns/op</td>
<td>16</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetUpdate-24</td>
<td>65640</td>
<td>ns/op</td>
<td>1285</td>
</tr>
</table>
<h2>Raw Output</h2>
<pre>goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 27906 45877 ns/op 13520 B/op 98 allocs/op
BenchmarkMetricsCollection-24 59125434 19.91 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 106563 ns/op 26651 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9916 580762 ns/op 16774 B/op 124 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 902 1361628 ns/op 6050 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 913 1341660 ns/op 6645 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 902 1339436 ns/op 6130 B/op 73 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 42 26144707 ns/op 657412 B/op 12352 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 99 12045172 ns/op 794945 B/op 6255 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 350 3655986 ns/op 1129633 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 30 37392029 ns/op 1111096 B/op 12623 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 52 26943573 ns/op 615802 B/op 17883 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12285 101658 ns/op 2934 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 24175867 50.53 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18481 65640 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 29.026s</pre>
</body>
</html>

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@ -0,0 +1,21 @@
goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 27950 44615 ns/op 13510 B/op 98 allocs/op
BenchmarkMetricsCollection-24 61569640 19.81 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 104975 ns/op 26775 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9744 616978 ns/op 16959 B/op 125 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 921 1342897 ns/op 6123 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 916 1355236 ns/op 6286 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 930 1326230 ns/op 6997 B/op 76 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 44 26734717 ns/op 657047 B/op 12351 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 93 12165317 ns/op 794462 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 364 3637957 ns/op 1128897 B/op 1374 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 33 31061085 ns/op 1114816 B/op 12631 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 54 26862161 ns/op 615718 B/op 17884 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12193 102081 ns/op 2933 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 19180039 52.64 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18472 65401 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 27.261s

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@ -0,0 +1,15 @@
BenchmarkAPIServerCreateJobSimple-24 27950 44615 ns/op 13510 B/op 98 allocs/op
BenchmarkMetricsCollection-24 61569640 19.81 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 104975 ns/op 26775 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9744 616978 ns/op 16959 B/op 125 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 921 1342897 ns/op 6123 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 916 1355236 ns/op 6286 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 930 1326230 ns/op 6997 B/op 76 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 44 26734717 ns/op 657047 B/op 12351 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 93 12165317 ns/op 794462 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 364 3637957 ns/op 1128897 B/op 1374 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 33 31061085 ns/op 1114816 B/op 12631 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 54 26862161 ns/op 615718 B/op 17884 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12193 102081 ns/op 2933 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 19180039 52.64 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18472 65401 ns/op 1285 B/op 36 allocs/op

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@ -0,0 +1,36 @@
# HELP benchmark_time_per_op Time per operation in nanoseconds
# TYPE benchmark_time_per_op gauge
# HELP benchmark_memory_per_op Memory per operation in bytes
# TYPE benchmark_memory_per_op gauge
# HELP benchmark_allocs_per_op Allocations per operation
# TYPE benchmark_allocs_per_op gauge
benchmark_time_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 44615
benchmark_allocs_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 13510
benchmark_time_per_op{benchmark="BenchmarkMetricsCollection"} 19.81
benchmark_allocs_per_op{benchmark="BenchmarkMetricsCollection"} 0
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 104975
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 26775
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 616978
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 16959
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 1342897
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 6123
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 1355236
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 6286
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 1326230
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 6997
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 26734717
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 657047
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 12165317
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 794462
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 3637957
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 1128897
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 31061085
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 1114816
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 26862161
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 615718
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 102081
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 2933
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 52.64
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 16
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 65401
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 1285

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<!DOCTYPE html>
<html>
<head>
<title>Benchmark Report - 20251204_231833</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; }
table { border-collapse: collapse; width: 100%; }
th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
th { background-color: #f2f2f2; }
.metric { font-family: monospace; }
</style>
</head>
<body>
<h1>Benchmark Report</h1>
<p><strong>Run ID:</strong> 20251204_231833</p>
<p><strong>Date:</strong> Thu Dec 4 18:19:01 EST 2025</p>
<h2>Results</h2>
<table>
<tr>
<th>Benchmark</th>
<th>Time (ns/op)</th>
<th>Memory (B/op)</th>
<th>Allocs (allocs/op)</th>
</tr>
<tr>
<td class="metric">BenchmarkAPIServerCreateJobSimple-24</td>
<td>44615</td>
<td>ns/op</td>
<td>13510</td>
</tr>
<tr>
<td class="metric">BenchmarkMetricsCollection-24</td>
<td>19.81</td>
<td>ns/op</td>
<td>0</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-1-24</td>
<td>104975</td>
<td>ns/op</td>
<td>26775</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-5-24</td>
<td>616978</td>
<td>ns/op</td>
<td>16959</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-10-24</td>
<td>1342897</td>
<td>ns/op</td>
<td>6123</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-25-24</td>
<td>1355236</td>
<td>ns/op</td>
<td>6286</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-50-24</td>
<td>1326230</td>
<td>ns/op</td>
<td>6997</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/SmallExperiment-24</td>
<td>26734717</td>
<td>ns/op</td>
<td>657047</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/MediumExperiment-24</td>
<td>12165317</td>
<td>ns/op</td>
<td>794462</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/LargeExperiment-24</td>
<td>3637957</td>
<td>ns/op</td>
<td>1128897</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ConcurrentExperiments-24</td>
<td>31061085</td>
<td>ns/op</td>
<td>1114816</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ExperimentMetrics-24</td>
<td>26862161</td>
<td>ns/op</td>
<td>615718</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetCreation-24</td>
<td>102081</td>
<td>ns/op</td>
<td>2933</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetRetrieval-24</td>
<td>52.64</td>
<td>ns/op</td>
<td>16</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetUpdate-24</td>
<td>65401</td>
<td>ns/op</td>
<td>1285</td>
</tr>
</table>
<h2>Raw Output</h2>
<pre>goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 27950 44615 ns/op 13510 B/op 98 allocs/op
BenchmarkMetricsCollection-24 61569640 19.81 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 104975 ns/op 26775 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 9744 616978 ns/op 16959 B/op 125 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 921 1342897 ns/op 6123 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 916 1355236 ns/op 6286 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 930 1326230 ns/op 6997 B/op 76 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 44 26734717 ns/op 657047 B/op 12351 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 93 12165317 ns/op 794462 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 364 3637957 ns/op 1128897 B/op 1374 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 33 31061085 ns/op 1114816 B/op 12631 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 54 26862161 ns/op 615718 B/op 17884 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12193 102081 ns/op 2933 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 19180039 52.64 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18472 65401 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 27.261s</pre>
</body>
</html>

View file

@ -0,0 +1,21 @@
goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 27296 43913 ns/op 13526 B/op 98 allocs/op
BenchmarkMetricsCollection-24 61271120 19.34 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 105096 ns/op 26660 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 10000 646391 ns/op 16738 B/op 124 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 872 1369525 ns/op 6036 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 904 1394439 ns/op 6546 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 889 1373567 ns/op 6347 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 40 26726470 ns/op 657367 B/op 12352 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 97 12430890 ns/op 794823 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 346 3863256 ns/op 1129599 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 36 32534372 ns/op 1115220 B/op 12637 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 52 26962389 ns/op 615818 B/op 17884 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12075 100813 ns/op 2933 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 23898721 50.28 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18692 63463 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 28.692s

View file

@ -0,0 +1,15 @@
BenchmarkAPIServerCreateJobSimple-24 27296 43913 ns/op 13526 B/op 98 allocs/op
BenchmarkMetricsCollection-24 61271120 19.34 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 105096 ns/op 26660 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 10000 646391 ns/op 16738 B/op 124 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 872 1369525 ns/op 6036 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 904 1394439 ns/op 6546 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 889 1373567 ns/op 6347 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 40 26726470 ns/op 657367 B/op 12352 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 97 12430890 ns/op 794823 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 346 3863256 ns/op 1129599 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 36 32534372 ns/op 1115220 B/op 12637 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 52 26962389 ns/op 615818 B/op 17884 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12075 100813 ns/op 2933 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 23898721 50.28 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18692 63463 ns/op 1285 B/op 36 allocs/op

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@ -0,0 +1,36 @@
# HELP benchmark_time_per_op Time per operation in nanoseconds
# TYPE benchmark_time_per_op gauge
# HELP benchmark_memory_per_op Memory per operation in bytes
# TYPE benchmark_memory_per_op gauge
# HELP benchmark_allocs_per_op Allocations per operation
# TYPE benchmark_allocs_per_op gauge
benchmark_time_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 43913
benchmark_allocs_per_op{benchmark="BenchmarkAPIServerCreateJobSimple"} 13526
benchmark_time_per_op{benchmark="BenchmarkMetricsCollection"} 19.34
benchmark_allocs_per_op{benchmark="BenchmarkMetricsCollection"} 0
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 105096
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_1"} 26660
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 646391
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_5"} 16738
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 1369525
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_10"} 6036
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 1394439
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_25"} 6546
benchmark_time_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 1373567
benchmark_allocs_per_op{benchmark="BenchmarkConcurrentRequests_Concurrency_50"} 6347
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 26726470
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_SmallExperiment"} 657367
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 12430890
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_MediumExperiment"} 794823
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 3863256
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_LargeExperiment"} 1129599
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 32534372
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ConcurrentExperiments"} 1115220
benchmark_time_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 26962389
benchmark_allocs_per_op{benchmark="BenchmarkMLExperimentExecution_ExperimentMetrics"} 615818
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 100813
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetCreation"} 2933
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 50.28
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetRetrieval"} 16
benchmark_time_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 63463
benchmark_allocs_per_op{benchmark="BenchmarkDatasetOperations_DatasetUpdate"} 1285

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@ -0,0 +1,141 @@
<!DOCTYPE html>
<html>
<head>
<title>Benchmark Report - 20251204_232656</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; }
table { border-collapse: collapse; width: 100%; }
th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
th { background-color: #f2f2f2; }
.metric { font-family: monospace; }
</style>
</head>
<body>
<h1>Benchmark Report</h1>
<p><strong>Run ID:</strong> 20251204_232656</p>
<p><strong>Date:</strong> Thu Dec 4 18:27:25 EST 2025</p>
<h2>Results</h2>
<table>
<tr>
<th>Benchmark</th>
<th>Time (ns/op)</th>
<th>Memory (B/op)</th>
<th>Allocs (allocs/op)</th>
</tr>
<tr>
<td class="metric">BenchmarkAPIServerCreateJobSimple-24</td>
<td>43913</td>
<td>ns/op</td>
<td>13526</td>
</tr>
<tr>
<td class="metric">BenchmarkMetricsCollection-24</td>
<td>19.34</td>
<td>ns/op</td>
<td>0</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-1-24</td>
<td>105096</td>
<td>ns/op</td>
<td>26660</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-5-24</td>
<td>646391</td>
<td>ns/op</td>
<td>16738</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-10-24</td>
<td>1369525</td>
<td>ns/op</td>
<td>6036</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-25-24</td>
<td>1394439</td>
<td>ns/op</td>
<td>6546</td>
</tr>
<tr>
<td class="metric">BenchmarkConcurrentRequests/Concurrency-50-24</td>
<td>1373567</td>
<td>ns/op</td>
<td>6347</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/SmallExperiment-24</td>
<td>26726470</td>
<td>ns/op</td>
<td>657367</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/MediumExperiment-24</td>
<td>12430890</td>
<td>ns/op</td>
<td>794823</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/LargeExperiment-24</td>
<td>3863256</td>
<td>ns/op</td>
<td>1129599</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ConcurrentExperiments-24</td>
<td>32534372</td>
<td>ns/op</td>
<td>1115220</td>
</tr>
<tr>
<td class="metric">BenchmarkMLExperimentExecution/ExperimentMetrics-24</td>
<td>26962389</td>
<td>ns/op</td>
<td>615818</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetCreation-24</td>
<td>100813</td>
<td>ns/op</td>
<td>2933</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetRetrieval-24</td>
<td>50.28</td>
<td>ns/op</td>
<td>16</td>
</tr>
<tr>
<td class="metric">BenchmarkDatasetOperations/DatasetUpdate-24</td>
<td>63463</td>
<td>ns/op</td>
<td>1285</td>
</tr>
</table>
<h2>Raw Output</h2>
<pre>goos: darwin
goarch: arm64
pkg: github.com/jfraeys/fetch_ml/tests/benchmarks
cpu: Apple M2 Ultra
BenchmarkAPIServerCreateJobSimple-24 27296 43913 ns/op 13526 B/op 98 allocs/op
BenchmarkMetricsCollection-24 61271120 19.34 ns/op 0 B/op 0 allocs/op
BenchmarkConcurrentRequests/Concurrency-1-24 10000 105096 ns/op 26660 B/op 162 allocs/op
BenchmarkConcurrentRequests/Concurrency-5-24 10000 646391 ns/op 16738 B/op 124 allocs/op
BenchmarkConcurrentRequests/Concurrency-10-24 872 1369525 ns/op 6036 B/op 71 allocs/op
BenchmarkConcurrentRequests/Concurrency-25-24 904 1394439 ns/op 6546 B/op 73 allocs/op
BenchmarkConcurrentRequests/Concurrency-50-24 889 1373567 ns/op 6347 B/op 74 allocs/op
BenchmarkMLExperimentExecution/SmallExperiment-24 40 26726470 ns/op 657367 B/op 12352 allocs/op
BenchmarkMLExperimentExecution/MediumExperiment-24 97 12430890 ns/op 794823 B/op 6254 allocs/op
BenchmarkMLExperimentExecution/LargeExperiment-24 346 3863256 ns/op 1129599 B/op 1375 allocs/op
BenchmarkMLExperimentExecution/ConcurrentExperiments-24 36 32534372 ns/op 1115220 B/op 12637 allocs/op
BenchmarkMLExperimentExecution/ExperimentMetrics-24 52 26962389 ns/op 615818 B/op 17884 allocs/op
BenchmarkDatasetOperations/DatasetCreation-24 12075 100813 ns/op 2933 B/op 75 allocs/op
BenchmarkDatasetOperations/DatasetRetrieval-24 23898721 50.28 ns/op 16 B/op 1 allocs/op
BenchmarkDatasetOperations/DatasetUpdate-24 18692 63463 ns/op 1285 B/op 36 allocs/op
PASS
ok github.com/jfraeys/fetch_ml/tests/benchmarks 28.692s</pre>
</body>
</html>

View file

@ -3,4 +3,88 @@ trigger: model_decision
description: When a new feature is added, this prompt needs to be run description: When a new feature is added, this prompt needs to be run
--- ---
When a significant feature is added make sure that the tests are added as well, change the docs to add details and make sure that the scripts, if needed, are changed. Don't forget to cleanup, you tend to leave a lot of unncessary files and code arround. Do not write loose .md to track task and todo, either add to the code or tell me. # Development Guidelines
## Code Quality Standards
### Testing Requirements
- MANDATORY: Every new feature MUST include corresponding tests
- Write tests BEFORE implementing complex features (TDD approach)
- Test coverage for new code should be >80%
- Include both unit tests and integration tests where applicable
- Test edge cases, error paths, and boundary conditions
### Documentation Standards
- Update relevant documentation IN THE SAME COMMIT as code changes
- Documentation locations:
- README.md: User-facing features, installation, quick start
- CHANGELOG.md: All changes, following Keep a Changelog format
- Code comments: Complex logic, non-obvious decisions, API contracts
- Function/struct docs: Public APIs must have doc comments
- Use concrete examples in documentation
- Keep docs concise but complete
### Code Organization
- CRITICAL: Clean up as you go - no orphaned files or dead code
- Remove commented-out code blocks (use git history instead)
- Delete unused imports, functions, and variables immediately
- Consolidate duplicate code into reusable functions
- Move TODO items from loose files into:
- Code comments with `// TODO(context):` for implementation tasks
- GitHub Issues for larger features
- NEVER create standalone .md files for tracking
### When Making Changes
For EVERY significant change, complete ALL of these:
1. Write/update tests
2. Update documentation (README, CHANGELOG, code comments)
3. Update build scripts if dependencies/build process changed
4. Remove any temporary/debug code added during development
5. Delete unused files created during exploration
6. Verify no dead code remains (unused functions, imports, variables)
### Cleanup Checklist (Run BEFORE committing)
- [ ] Removed all debug print statements
- [ ] Deleted temporary test files
- [ ] Removed commented-out code
- [ ] Cleaned up unused imports
- [ ] Deleted exploratory/spike code
- [ ] Consolidated duplicate logic
- [ ] Removed obsolete scripts/configs
### Communication Style
- Report what you've done: "Added feature X with tests in test/x_test.go"
- Highlight what needs attention: "WARNING: Manual testing needed for edge case Y"
- Ask questions directly: "Should we support Z? Trade-offs are..."
- NEVER say "I'll track this in a markdown file" - use code comments or tell me directly
### Script/Build System Updates
- Update Makefile/build.zig when adding new targets or commands
- Modify CI/CD configs (.github/workflows) if build/test process changes
- Update package.json/Cargo.toml/go.mod when dependencies change
- Document new scripts in README under "Development" section
## Anti-Patterns to AVOID
- Creating notes.md, todo.md, tasks.md, ideas.md files
- Leaving commented-out code "for reference"
- Keeping old implementation files with .old or .backup suffixes
- Adding features without tests
- Updating code without updating docs
- Leaving TODO comments without context or assignee
## Preferred Patterns
- Inline TODO comments: `// TODO(user): Add caching layer for better performance`
- Self-documenting code with clear names
- Tests that serve as usage examples
- Incremental, complete commits (code + tests + docs)
- Direct communication about tasks and priorities
## Definition of Done
A task is complete ONLY when:
1. Code is written and working
2. Tests are written and passing
3. Documentation is updated
4. All temporary/dead code is removed
5. Build scripts are updated if needed
6. Changes are committed with clear message

136
Makefile
View file

@ -1,4 +1,4 @@
.PHONY: all build clean clean-docs test test-unit test-integration test-e2e test-coverage lint install dev prod setup validate configlint ci-local docs .PHONY: all build prod dev clean clean-docs test test-unit test-integration test-e2e test-coverage lint install setup validate configlint ci-local docs benchmark benchmark-local artifacts clean-benchmarks clean-all clean-aggressive status load-test chaos-test profile-tools detect-regressions tech-excellence docker-build docker-run docker-stop docker-logs monitoring-performance monitoring-performance-stop dashboard-performance
# Default target # Default target
all: build all: build
@ -14,7 +14,7 @@ build:
# Build production-optimized binaries # Build production-optimized binaries
prod: prod:
go build -ldflags="-s -w" -o bin/api-server cmd/api-server/main.go go build -ldflags="-s -w" -o bin/api-server cmd/api-server/main.go
go build -ldflags="-s -w" -o bin/worker cmd/worker/worker_server.go go build -ldflags="-s -w" -o bin/worker cmd/worker/worker_server.go cmd/worker/worker_config.go
go build -ldflags="-s -w" -o bin/tui ./cmd/tui go build -ldflags="-s -w" -o bin/tui ./cmd/tui
cd cli && zig build prod && strip zig-out/prod/ml cd cli && zig build prod && strip zig-out/prod/ml
@echo "✓ Production binaries built" @echo "✓ Production binaries built"
@ -41,7 +41,7 @@ clean-docs:
# Run tests # Run tests
test: test:
go test ./... go test ./tests/...
cd cli && zig build test cd cli && zig build test
@echo "✓ All tests passed" @echo "✓ All tests passed"
@ -80,11 +80,16 @@ configlint:
configs/config-no-tls.yaml \ configs/config-no-tls.yaml \
configs/config-dev.yaml configs/config-dev.yaml
worker-configlint:
go run ./cmd/configlint --schema configs/schema/worker_config_schema.yaml \
configs/worker-prod.toml
# Run a local approximation of the CI pipeline # Run a local approximation of the CI pipeline
ci-local: ci-local:
make test make test
make lint make lint
make configlint make configlint
make worker-configlint
@echo "Running queue package tests with race detector..." @echo "Running queue package tests with race detector..."
go test -v -race -coverprofile=coverage/queue-coverage.out ./internal/queue/... go test -v -race -coverprofile=coverage/queue-coverage.out ./internal/queue/...
@echo "Running coverage..." @echo "Running coverage..."
@ -157,6 +162,115 @@ docs-build:
@echo "Building static documentation..." @echo "Building static documentation..."
cd docs && mkdocs build cd docs && mkdocs build
# Performance benchmarking tools
benchmark:
@echo "Running performance benchmarks..."
go test -bench=. -benchmem ./tests/benchmarks/...
# Run benchmarks locally with artifact management
benchmark-local:
@echo "Running benchmarks locally with full workflow..."
./scripts/run-benchmarks-local.sh
# Manage benchmark artifacts
artifacts:
@echo "Managing benchmark artifacts..."
./scripts/manage-artifacts.sh help
# Clean benchmark artifacts (keep last 10)
clean-benchmarks:
@echo "Cleaning benchmark artifacts..."
./scripts/cleanup-benchmarks.sh benchmarks
# Comprehensive cleanup (keep last 5 runs)
clean-all:
@echo "Running comprehensive cleanup..."
./scripts/cleanup-benchmarks.sh all
# Aggressive cleanup (removes more data)
clean-aggressive:
@echo "Running aggressive cleanup..."
./scripts/cleanup-benchmarks.sh aggressive
# Show disk usage status
status:
@echo "Checking disk usage..."
./scripts/cleanup-benchmarks.sh status
# Start performance monitoring stack
monitoring-performance:
@echo "Starting performance monitoring stack..."
cd monitoring && docker-compose -f docker-compose.performance.yml up -d
@echo "Grafana available at: http://localhost:3001 (admin/admin)"
@echo "Loki available at: http://localhost:3100"
@echo "Pushgateway available at: http://localhost:9091"
@echo "Quick start guide: docs/src/performance-quick-start.md"
# Stop performance monitoring stack
monitoring-performance-stop:
@echo "Stopping performance monitoring stack..."
cd monitoring && docker-compose -f docker-compose.performance.yml down
# View performance dashboard
dashboard-performance:
@echo "Opening performance dashboard..."
@echo "URL: http://localhost:3001/d/fetchml-performance/fetch-ml-performance-dashboard"
# Load testing
load-test:
@echo "Running load tests..."
go test -v ./tests/load/...
# CPU profiling for HTTP LoadTestSuite (MediumLoad only for speed)
profile-load:
@echo "CPU profiling MediumLoad HTTP load test..."
go test ./tests/load -run TestLoadProfile_Medium -count=1 -cpuprofile cpu_load.out
@echo "✓ CPU profile written to cpu_load.out (inspect with: go tool pprof cpu_load.out)"
profile-load-norate:
@echo "CPU profiling MediumLoad HTTP load test (no rate limiting)..."
go test ./tests/load -run TestLoadProfile_Medium -count=1 -cpuprofile cpu_load.out -v -args -profile-norate
@echo "✓ CPU profile written to cpu_load.out (inspect with: go tool pprof cpu_load.out)"
# CPU profiling for WebSocket → Redis queue → worker path
profile-ws-queue:
@echo "CPU profiling WebSocket queue integration test..."
go test ./tests/integration -run WebSocketQueue -count=5 -cpuprofile cpu_ws.out
@echo "✓ CPU profile written to cpu_ws.out (inspect with: go tool pprof cpu_ws.out)"
# Chaos engineering tests
chaos-test:
@echo "Running chaos engineering tests..."
go test -v ./tests/chaos/...
# Performance profiling tools
profile-tools:
@echo "Building profiling tools..."
go build -o bin/performance-regression-detector ./tools/performance_regression_detector.go
go build -o bin/profiler ./tools/profiler.go
# Performance regression detection
detect-regressions:
@echo "Detecting performance regressions..."
@if [ ! -f "baseline.json" ]; then \
echo "Creating baseline performance metrics..."; \
go test -bench=. -benchmem ./tests/benchmarks/... | tee baseline.json; \
else \
echo "Analyzing current performance against baseline..."; \
go test -bench=. -benchmem ./tests/benchmarks/... | tee current.json; \
echo "Use tools/performance_regression_detector to analyze results"; \
fi
# Technical excellence suite (runs all performance tests)
tech-excellence: benchmark load-test chaos-test profile-tools
@echo "Technical excellence test suite completed"
@echo "Results summary:"
@echo " - Benchmarks: See test output above"
@echo " - Load tests: See test output above"
@echo " - Chaos tests: See test output above"
@echo " - Profiling tools: Built in bin/"
@echo " - Regression detection: Run 'make detect-regressions'"
# Help # Help
help: help:
@echo "FetchML Build System" @echo "FetchML Build System"
@ -188,6 +302,22 @@ help:
@echo " make setup-monitoring - Setup monitoring stack (Linux only)" @echo " make setup-monitoring - Setup monitoring stack (Linux only)"
@echo " make validate - Validate production configuration" @echo " make validate - Validate production configuration"
@echo "" @echo ""
@echo "Performance Testing:"
@echo " make benchmark - Run performance benchmarks"
@echo " make benchmark-local - Run benchmarks locally with artifact management"
@echo " make artifacts - Manage benchmark artifacts (list, clean, compare, export)"
@echo " make clean-benchmarks - Clean benchmark artifacts (keep last 10)"
@echo " make clean-all - Comprehensive cleanup (keep last 5 runs)"
@echo " make clean-aggressive - Aggressive cleanup (removes more data)"
@echo " make status - Show disk usage status"
@echo " make load-test - Run load testing suite"
@echo " make profile-load - CPU profile MediumLoad HTTP test suite"
@echo " make profile-ws-queue - CPU profile WebSocket→queue→worker path"
@echo " make chaos-test - Run chaos engineering tests"
@echo " make profile-tools - Build performance profiling tools"
@echo " make detect-regressions - Detect performance regressions"
@echo " make tech-excellence - Run complete technical excellence suite"
@echo ""
@echo "Documentation:" @echo "Documentation:"
@echo " make docs-setup - Install MkDocs and dependencies" @echo " make docs-setup - Install MkDocs and dependencies"
@echo " make docs - Start MkDocs development server with live reload" @echo " make docs - Start MkDocs development server with live reload"

View file

@ -0,0 +1,73 @@
# Full Production Dockerfile with Podman and SSH
FROM golang:1.25-alpine AS builder
# Install dependencies
RUN apk add --no-cache git make
# Set working directory
WORKDIR /app
# Copy go mod files
COPY go.mod go.sum ./
# Download dependencies
RUN go mod download
# Copy source code
COPY . .
# Build Go binaries
RUN go build -o bin/api-server cmd/api-server/main.go && \
go build -o bin/worker cmd/worker/worker_server.go cmd/worker/worker_config.go
# Final stage with Podman
FROM alpine:3.19
# Install runtime dependencies including Podman and SSH
RUN apk add --no-cache ca-certificates redis openssl curl podman openssh
# Create app user
RUN addgroup -g 1001 -S appgroup && \
adduser -u 1001 -S appuser -G appgroup
# Set working directory
WORKDIR /app
# Copy binaries from builder
COPY --from=builder /app/bin/ /usr/local/bin/
# Copy configs
COPY --from=builder /app/configs/ /app/configs/
# Create necessary directories
RUN mkdir -p /app/data/experiments /app/logs /app/ssl /app/ssh /tmp/fetchml-jobs
# Generate SSL certificates
RUN openssl req -x509 -newkey rsa:2048 -keyout /app/ssl/key.pem -out /app/ssl/cert.pem -days 365 -nodes \
-subj "/C=US/ST=Homelab/L=Local/O=ML/OU=Experiments/CN=localhost" && \
chmod 644 /app/ssl/cert.pem /app/ssl/key.pem
# Generate SSH keys for container communication
RUN ssh-keygen -t rsa -b 2048 -f /app/ssh/id_rsa -N "" && \
cp /app/ssh/id_rsa.pub /app/ssh/authorized_keys && \
chmod 600 /app/ssh/id_rsa && \
chmod 644 /app/ssh/id_rsa.pub /app/ssh/authorized_keys
# Configure SSH daemon
RUN echo "PermitRootLogin yes" >> /etc/ssh/sshd_config && \
echo "PasswordAuthentication no" >> /etc/ssh/sshd_config && \
echo "PubkeyAuthentication yes" >> /etc/ssh/sshd_config && \
echo "AuthorizedKeysFile /app/ssh/authorized_keys" >> /etc/ssh/sshd_config
# Switch to app user
USER appuser
# Expose ports
EXPOSE 9101 22
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD curl -k -f https://localhost:9101/health || exit 1
# Default command for API server
CMD ["/usr/local/bin/api-server", "-config", "/app/configs/config.yaml"]

View file

@ -0,0 +1,147 @@
# Homelab Secure Production Dockerfile
FROM golang:1.25-alpine AS builder
# Install dependencies
RUN apk add --no-cache git make
# Set working directory
WORKDIR /app
# Copy go mod files
COPY go.mod go.sum ./
# Download dependencies
RUN go mod download
# Copy source code
COPY . .
# Build Go binaries
RUN go build -o bin/api-server cmd/api-server/main.go && \
go build -o bin/worker cmd/worker/worker_server.go cmd/worker/worker_config.go
# Final stage with security hardening
FROM alpine:3.19
# Install security packages and runtime dependencies
RUN apk add --no-cache \
ca-certificates \
redis \
openssl \
curl \
podman \
openssh \
sudo \
fail2ban \
logrotate \
&& rm -rf /var/cache/apk/*
# Create app user and worker user with no shell by default
RUN addgroup -g 1001 -S appgroup && \
adduser -u 1001 -S appuser -G appgroup -s /sbin/nologin && \
addgroup -g 1002 -S workergroup && \
adduser -u 1002 -S worker -G workergroup -s /bin/sh && \
echo "worker:HomelabWorker2024!" | chpasswd && \
mkdir -p /home/worker/.ssh && \
chown -R worker:workergroup /home/worker
# Set working directory
WORKDIR /app
# Copy binaries from builder
COPY --from=builder /app/bin/ /usr/local/bin/
# Copy configs
COPY --from=builder /app/configs/ /app/configs/
# Create necessary directories with proper permissions
RUN mkdir -p /app/data/experiments /app/logs /app/ssl /tmp/fetchml-jobs && \
chown -R appuser:appgroup /app && \
chmod 750 /app/data/experiments /app/logs
# Generate SSL certificates with stronger crypto
RUN openssl req -x509 -newkey rsa:4096 -keyout /app/ssl/key.pem -out /app/ssl/cert.pem -days 365 -nodes \
-subj "/C=US/ST=Homelab/L=Local/O=ML/OU=Experiments/CN=localhost" && \
chmod 600 /app/ssl/key.pem && \
chmod 644 /app/ssl/cert.pem
# Generate SSH keys with stronger crypto
RUN ssh-keygen -t rsa -b 4096 -f /home/worker/.ssh/id_rsa -N "" && \
cp /home/worker/.ssh/id_rsa.pub /home/worker/.ssh/authorized_keys && \
chmod 700 /home/worker/.ssh && \
chmod 600 /home/worker/.ssh/id_rsa && \
chmod 644 /home/worker/.ssh/id_rsa.pub /home/worker/.ssh/authorized_keys && \
chown -R worker:workergroup /home/worker/.ssh
# Configure SSH with security hardening
RUN echo "Port 2222" >> /etc/ssh/sshd_config && \
echo "PermitRootLogin no" >> /etc/ssh/sshd_config && \
echo "PasswordAuthentication yes" >> /etc/ssh/sshd_config && \
echo "PubkeyAuthentication yes" >> /etc/ssh/sshd_config && \
echo "AuthorizedKeysFile %h/.ssh/authorized_keys" >> /etc/ssh/sshd_config && \
echo "AllowUsers worker" >> /etc/ssh/sshd_config && \
echo "MaxAuthTries 3" >> /etc/ssh/sshd_config && \
echo "ClientAliveInterval 300" >> /etc/ssh/sshd_config && \
echo "ClientAliveCountMax 2" >> /etc/ssh/sshd_config && \
echo "X11Forwarding no" >> /etc/ssh/sshd_config && \
echo "AllowTcpForwarding no" >> /etc/ssh/sshd_config && \
echo "Banner /etc/ssh/banner" >> /etc/ssh/sshd_config && \
echo "Protocol 2" >> /etc/ssh/sshd_config && \
echo "Ciphers chacha20-poly1305@openssh.com,aes256-gcm@openssh.com,aes128-gcm@openssh.com" >> /etc/ssh/sshd_config && \
echo "MACs hmac-sha2-256-etm@openssh.com,hmac-sha2-512-etm@openssh.com,hmac-sha2-256,hmac-sha2-512" >> /etc/ssh/sshd_config && \
echo "KexAlgorithms curve25519-sha256@libssh.org,diffie-hellman-group16-sha512" >> /etc/ssh/sshd_config
# Create SSH banner
RUN echo "=================================================" > /etc/ssh/banner && \
echo " ML Experiments Homelab Server" >> /etc/ssh/banner && \
echo " Unauthorized access is prohibited" >> /etc/ssh/banner && \
echo " All connections are monitored and logged" >> /etc/ssh/banner && \
echo "=================================================" >> /etc/ssh/banner
# Generate SSH host keys
RUN ssh-keygen -A
# Configure fail2ban for SSH protection
RUN echo "[DEFAULT]" > /etc/fail2ban/jail.local && \
echo "bantime = 3600" >> /etc/fail2ban/jail.local && \
echo "findtime = 600" >> /etc/fail2ban/jail.local && \
echo "maxretry = 3" >> /etc/fail2ban/jail.local && \
echo "" >> /etc/fail2ban/jail.local && \
echo "[sshd]" >> /etc/fail2ban/jail.local && \
echo "enabled = true" >> /etc/fail2ban/jail.local && \
echo "port = 2222" >> /etc/fail2ban/jail.local && \
echo "filter = sshd" >> /etc/fail2ban/jail.local && \
echo "logpath = /var/log/messages" >> /etc/fail2ban/jail.local
# Configure sudo with restricted access
RUN echo "appuser ALL=(ALL) NOPASSWD: /app/start-security.sh" >> /etc/sudoers && \
echo "appuser ALL=(ALL) NOPASSWD: /usr/sbin/sshd" >> /etc/sudoers && \
echo "appuser ALL=(ALL) NOPASSWD: /usr/bin/ssh-keygen" >> /etc/sudoers && \
echo "worker ALL=(ALL) NOPASSWD: /usr/bin/podman" >> /etc/sudoers && \
echo "Defaults:appuser !requiretty" >> /etc/sudoers && \
echo "Defaults:worker !requiretty" >> /etc/sudoers && \
echo "Defaults:appuser !lecture" >> /etc/sudoers && \
echo "Defaults:worker !lecture" >> /etc/sudoers
# Security hardening - remove setuid binaries except sudo
RUN find / -perm /4000 -type f -not -path "/usr/bin/sudo" -exec chmod 755 {} \; 2>/dev/null || true
# Create startup script for security services
RUN echo "#!/bin/sh" > /app/start-security.sh && \
echo "ssh-keygen -A" >> /app/start-security.sh && \
echo "/usr/sbin/sshd -D -p 2222" >> /app/start-security.sh && \
echo "# End of security services" >> /app/start-security.sh && \
chmod 755 /app/start-security.sh
# Switch to app user for application
USER appuser
# Expose ports
EXPOSE 9101 2222
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD curl -k -f https://localhost:9101/health || exit 1
# Default command for API server
CMD ["/usr/local/bin/api-server", "-config", "/app/configs/config.yaml"]

View file

@ -0,0 +1,102 @@
# Secure Production Dockerfile with proper SSH setup
FROM golang:1.25-alpine AS builder
# Install dependencies
RUN apk add --no-cache git make gcc musl-dev
# Set working directory
WORKDIR /app
# Copy go mod files
COPY go.mod go.sum ./
# Download dependencies
RUN go mod download
# Copy source code
COPY . .
# Build Go binaries with CGO enabled for SQLite
RUN CGO_ENABLED=1 go build -o bin/api-server cmd/api-server/main.go && \
CGO_ENABLED=1 go build -o bin/worker cmd/worker/worker_server.go cmd/worker/worker_config.go
# Final stage with Podman and secure SSH
FROM alpine:3.19
# Install runtime dependencies including Podman and SSH
RUN apk add --no-cache ca-certificates redis openssl curl podman openssh sudo gcc musl-dev
# Create app user and worker user
RUN addgroup -g 1001 -S appgroup && \
adduser -u 1001 -S appuser -G appgroup && \
addgroup -g 1002 -S workergroup && \
adduser -u 1002 -S worker -G workergroup -s /bin/sh && \
echo "worker:SecureWorkerPass2024!" | chpasswd && \
mkdir -p /home/worker/.ssh && \
chown -R worker:workergroup /home/worker
# Set working directory
WORKDIR /app
# Copy binaries from builder
COPY --from=builder /app/bin/ /usr/local/bin/
# Copy configs
COPY --from=builder /app/configs/ /app/configs/
# Create necessary directories
RUN mkdir -p /app/data/experiments /app/logs /app/ssl /tmp/fetchml-jobs && \
chown -R appuser:appgroup /app
# Generate SSL certificates
RUN openssl req -x509 -newkey rsa:2048 -keyout /app/ssl/key.pem -out /app/ssl/cert.pem -days 365 -nodes \
-subj "/C=US/ST=Homelab/L=Local/O=ML/OU=Experiments/CN=localhost" && \
chmod 644 /app/ssl/cert.pem /app/ssl/key.pem
# Generate SSH keys for worker user
RUN ssh-keygen -t rsa -b 4096 -f /home/worker/.ssh/id_rsa -N "" && \
cp /home/worker/.ssh/id_rsa.pub /home/worker/.ssh/authorized_keys && \
chmod 700 /home/worker/.ssh && \
chmod 600 /home/worker/.ssh/id_rsa && \
chmod 644 /home/worker/.ssh/id_rsa.pub /home/worker/.ssh/authorized_keys && \
chown -R worker:workergroup /home/worker/.ssh
# Configure SSH daemon securely
RUN echo "Port 2222" >> /etc/ssh/sshd_config && \
echo "PermitRootLogin no" >> /etc/ssh/sshd_config && \
echo "PasswordAuthentication yes" >> /etc/ssh/sshd_config && \
echo "PubkeyAuthentication yes" >> /etc/ssh/sshd_config && \
echo "AuthorizedKeysFile %h/.ssh/authorized_keys" >> /etc/ssh/sshd_config && \
echo "AllowUsers worker" >> /etc/ssh/sshd_config && \
echo "MaxAuthTries 3" >> /etc/ssh/sshd_config && \
echo "ClientAliveInterval 300" >> /etc/ssh/sshd_config && \
echo "ClientAliveCountMax 2" >> /etc/ssh/sshd_config && \
echo "X11Forwarding no" >> /etc/ssh/sshd_config && \
echo "AllowTcpForwarding no" >> /etc/ssh/sshd_config && \
echo "Banner /etc/ssh/banner" >> /etc/ssh/sshd_config
# Create SSH banner
RUN echo "=================================================" > /etc/ssh/banner && \
echo " ML Experiments Production Server" >> /etc/ssh/banner && \
echo " Unauthorized access is prohibited" >> /etc/ssh/banner && \
echo "=================================================" >> /etc/ssh/banner
# Generate SSH host keys
RUN ssh-keygen -A
# Give appuser sudo permissions for SSH and worker user for Podman
RUN echo "appuser ALL=(ALL) NOPASSWD: /usr/sbin/sshd" >> /etc/sudoers && \
echo "worker ALL=(ALL) NOPASSWD: /usr/bin/podman" >> /etc/sudoers
# Switch to app user for application
USER appuser
# Expose ports
EXPOSE 9101 2222
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD curl -k -f https://localhost:9101/health || exit 1
# Default command for API server
CMD ["/usr/local/bin/api-server", "-config", "/app/configs/config.yaml"]

View file

@ -19,12 +19,28 @@ zig build
- `ml init` - Setup configuration - `ml init` - Setup configuration
- `ml sync <path>` - Sync project to server - `ml sync <path>` - Sync project to server
- `ml queue <job>` - Queue job for execution - `ml queue <job1> [job2 ...] [--commit <id>] [--priority N]` - Queue one or more jobs
- `ml status` - Check system status - `ml status` - Check system/queue status for your API key
- `ml monitor` - Launch monitoring interface - `ml monitor` - Launch monitoring interface (TUI)
- `ml cancel <job>` - Cancel running job - `ml cancel <job>` - Cancel a running/queued job you own
- `ml prune --keep N` - Keep N recent experiments - `ml prune --keep N` - Keep N recent experiments
- `ml watch <path>` - Auto-sync directory - `ml watch <path>` - Auto-sync directory
- `ml experiment log|show|list|delete` - Manage experiments and metrics
### Experiment workflow (minimal)
- `ml sync ./my-experiment --queue`
Syncs files, computes a unique commit ID for the directory, and queues a job.
- `ml queue my-job`
Queues a job named `my-job`. If `--commit` is omitted, the CLI generates a random commit ID
and records `(job_name, commit_id)` in `~/.ml/history.log` so you don't have to remember hashes.
- `ml experiment list`
Shows recent experiments from history with alias (job name) and commit ID.
- `ml experiment delete <alias|commit>`
Cancels a running/queued experiment by job name, full commit ID, or short commit prefix.
## Configuration ## Configuration

View file

@ -2,13 +2,18 @@ const std = @import("std");
const config = @import("../config.zig"); const config = @import("../config.zig");
const ws = @import("../net/ws.zig"); const ws = @import("../net/ws.zig");
const protocol = @import("../net/protocol.zig"); const protocol = @import("../net/protocol.zig");
const history = @import("../utils/history.zig");
const colors = @import("../utils/colors.zig");
const cancel_cmd = @import("cancel.zig");
pub fn execute(allocator: std.mem.Allocator, args: []const []const u8) !void { pub fn execute(allocator: std.mem.Allocator, args: []const []const u8) !void {
if (args.len < 1) { if (args.len < 1) {
std.debug.print("Usage: ml experiment <command> [args]\n", .{}); std.debug.print("Usage: ml experiment <command> [args]\n", .{});
std.debug.print("Commands:\n", .{}); std.debug.print("Commands:\n", .{});
std.debug.print(" log Log a metric\n", .{}); std.debug.print(" log Log a metric\n", .{});
std.debug.print(" show Show experiment details\n", .{}); std.debug.print(" show Show experiment details\n", .{});
std.debug.print(" list List recent experiments (alias + commit)\n", .{});
std.debug.print(" delete Cancel a running experiment by alias or commit\n", .{});
return; return;
} }
@ -18,6 +23,14 @@ pub fn execute(allocator: std.mem.Allocator, args: []const []const u8) !void {
try executeLog(allocator, args[1..]); try executeLog(allocator, args[1..]);
} else if (std.mem.eql(u8, command, "show")) { } else if (std.mem.eql(u8, command, "show")) {
try executeShow(allocator, args[1..]); try executeShow(allocator, args[1..]);
} else if (std.mem.eql(u8, command, "list")) {
try executeList(allocator);
} else if (std.mem.eql(u8, command, "delete")) {
if (args.len < 2) {
std.debug.print("Usage: ml experiment delete <alias|commit>\n", .{});
return;
}
try executeDelete(allocator, args[1]);
} else { } else {
std.debug.print("Unknown command: {s}\n", .{command}); std.debug.print("Unknown command: {s}\n", .{command});
} }
@ -190,3 +203,62 @@ fn executeShow(allocator: std.mem.Allocator, args: []const []const u8) !void {
}, },
} }
} }
fn executeList(allocator: std.mem.Allocator) !void {
const entries = history.loadEntries(allocator) catch |err| {
colors.printError("Failed to read experiment history: {}\n", .{err});
return err;
};
defer history.freeEntries(allocator, entries);
if (entries.len == 0) {
colors.printWarning("No experiments recorded yet. Use `ml sync --queue` or `ml queue` to submit one.\n", .{});
return;
}
colors.printInfo("\nRecent Experiments (latest first):\n", .{});
colors.printInfo("---------------------------------\n", .{});
const max_display = if (entries.len > 20) 20 else entries.len;
var idx: usize = 0;
while (idx < max_display) : (idx += 1) {
const entry = entries[entries.len - idx - 1];
std.debug.print("{d:2}) Alias: {s}\n", .{ idx + 1, entry.job_name });
std.debug.print(" Commit: {s}\n", .{entry.commit_id});
std.debug.print(" Queued: {d}\n\n", .{entry.queued_at});
}
if (entries.len > max_display) {
colors.printInfo("...and {d} more\n", .{entries.len - max_display});
}
}
fn executeDelete(allocator: std.mem.Allocator, identifier: []const u8) !void {
const resolved = try resolveJobIdentifier(allocator, identifier);
defer allocator.free(resolved);
const args = [_][]const u8{resolved};
cancel_cmd.run(allocator, &args) catch |err| {
colors.printError("Failed to cancel experiment '{s}': {}\n", .{ resolved, err });
return err;
};
}
fn resolveJobIdentifier(allocator: std.mem.Allocator, identifier: []const u8) ![]const u8 {
const entries = history.loadEntries(allocator) catch {
return allocator.dupe(u8, identifier);
};
defer history.freeEntries(allocator, entries);
for (entries) |entry| {
if (std.mem.eql(u8, identifier, entry.job_name) or
std.mem.eql(u8, identifier, entry.commit_id) or
(identifier.len <= entry.commit_id.len and
std.mem.eql(u8, entry.commit_id[0..identifier.len], identifier)))
{
return allocator.dupe(u8, entry.job_name);
}
}
return allocator.dupe(u8, identifier);
}

View file

@ -3,6 +3,8 @@ const Config = @import("../config.zig").Config;
const ws = @import("../net/ws.zig"); const ws = @import("../net/ws.zig");
const crypto = @import("../utils/crypto.zig"); const crypto = @import("../utils/crypto.zig");
const colors = @import("../utils/colors.zig"); const colors = @import("../utils/colors.zig");
const history = @import("../utils/history.zig");
const stdcrypto = std.crypto;
pub fn run(allocator: std.mem.Allocator, args: []const []const u8) !void { pub fn run(allocator: std.mem.Allocator, args: []const []const u8) !void {
if (args.len == 0) { if (args.len == 0) {
@ -17,7 +19,7 @@ pub fn run(allocator: std.mem.Allocator, args: []const []const u8) !void {
}; };
defer job_names.deinit(allocator); defer job_names.deinit(allocator);
var commit_id: ?[]const u8 = null; var commit_id_override: ?[]const u8 = null;
var priority: u8 = 5; var priority: u8 = 5;
// Parse arguments - separate job names from flags // Parse arguments - separate job names from flags
@ -28,7 +30,10 @@ pub fn run(allocator: std.mem.Allocator, args: []const []const u8) !void {
if (std.mem.startsWith(u8, arg, "--")) { if (std.mem.startsWith(u8, arg, "--")) {
// Parse flags // Parse flags
if (std.mem.eql(u8, arg, "--commit") and i + 1 < args.len) { if (std.mem.eql(u8, arg, "--commit") and i + 1 < args.len) {
commit_id = args[i + 1]; if (commit_id_override != null) {
allocator.free(commit_id_override.?);
}
commit_id_override = try allocator.dupe(u8, args[i + 1]);
i += 1; i += 1;
} else if (std.mem.eql(u8, arg, "--priority") and i + 1 < args.len) { } else if (std.mem.eql(u8, arg, "--priority") and i + 1 < args.len) {
priority = try std.fmt.parseInt(u8, args[i + 1], 10); priority = try std.fmt.parseInt(u8, args[i + 1], 10);
@ -58,10 +63,12 @@ pub fn run(allocator: std.mem.Allocator, args: []const []const u8) !void {
}; };
defer failed_jobs.deinit(allocator); defer failed_jobs.deinit(allocator);
defer if (commit_id_override) |cid| allocator.free(cid);
for (job_names.items, 0..) |job_name, index| { for (job_names.items, 0..) |job_name, index| {
colors.printProgress("Processing job {d}/{d}: {s}\n", .{ index + 1, job_names.items.len, job_name }); colors.printProgress("Processing job {d}/{d}: {s}\n", .{ index + 1, job_names.items.len, job_name });
queueSingleJob(allocator, job_name, commit_id, priority) catch |err| { queueSingleJob(allocator, job_name, commit_id_override, priority) catch |err| {
colors.printError("Failed to queue job '{s}': {}\n", .{ job_name, err }); colors.printError("Failed to queue job '{s}': {}\n", .{ job_name, err });
failed_jobs.append(allocator, job_name) catch |append_err| { failed_jobs.append(allocator, job_name) catch |append_err| {
colors.printError("Failed to track failed job: {}\n", .{append_err}); colors.printError("Failed to track failed job: {}\n", .{append_err});
@ -85,11 +92,26 @@ pub fn run(allocator: std.mem.Allocator, args: []const []const u8) !void {
} }
} }
fn queueSingleJob(allocator: std.mem.Allocator, job_name: []const u8, commit_id: ?[]const u8, priority: u8) !void { fn generateCommitID(allocator: std.mem.Allocator) ![]const u8 {
if (commit_id == null) { var bytes: [32]u8 = undefined;
colors.printError("Error: --commit is required\n", .{}); stdcrypto.random.bytes(&bytes);
return error.MissingCommit;
var commit = try allocator.alloc(u8, 64);
const hex = "0123456789abcdef";
for (bytes, 0..) |b, idx| {
commit[idx * 2] = hex[(b >> 4) & 0xF];
commit[idx * 2 + 1] = hex[b & 0xF];
} }
return commit;
}
fn queueSingleJob(allocator: std.mem.Allocator, job_name: []const u8, commit_override: ?[]const u8, priority: u8) !void {
const commit_id = blk: {
if (commit_override) |cid| break :blk cid;
const generated = try generateCommitID(allocator);
break :blk generated;
};
defer if (commit_override == null) allocator.free(commit_id);
const config = try Config.load(allocator); const config = try Config.load(allocator);
defer { defer {
@ -97,22 +119,24 @@ fn queueSingleJob(allocator: std.mem.Allocator, job_name: []const u8, commit_id:
mut_config.deinit(allocator); mut_config.deinit(allocator);
} }
colors.printInfo("Queueing job '{s}' with commit {s}...\n", .{ job_name, commit_id.? }); colors.printInfo("Queueing job '{s}' with commit {s}...\n", .{ job_name, commit_id });
// Use plain password for WebSocket authentication, hash for binary protocol // API key is already hashed in config, use as-is
const api_key_plain = config.api_key; // Plain password from config const api_key_hash = config.api_key;
const api_key_hash = try crypto.hashString(allocator, api_key_plain);
defer allocator.free(api_key_hash);
// Connect to WebSocket and send queue message // Connect to WebSocket and send queue message
const ws_url = try std.fmt.allocPrint(allocator, "ws://{s}:9101/ws", .{config.worker_host}); const ws_url = try std.fmt.allocPrint(allocator, "ws://{s}:9103/ws", .{config.worker_host});
defer allocator.free(ws_url); defer allocator.free(ws_url);
var client = try ws.Client.connect(allocator, ws_url, api_key_plain); var client = try ws.Client.connect(allocator, ws_url, api_key_hash);
defer client.close(); defer client.close();
try client.sendQueueJob(job_name, commit_id.?, priority, api_key_hash); try client.sendQueueJob(job_name, commit_id, priority, api_key_hash);
// Receive structured response // Receive structured response
try client.receiveAndHandleResponse(allocator, "Job queue"); try client.receiveAndHandleResponse(allocator, "Job queue");
history.record(allocator, job_name, commit_id) catch |err| {
colors.printWarning("Warning: failed to record job in history ({})\n", .{err});
};
} }

View file

@ -17,7 +17,7 @@ const UserContext = struct {
fn authenticateUser(allocator: std.mem.Allocator, config: Config) !UserContext { fn authenticateUser(allocator: std.mem.Allocator, config: Config) !UserContext {
// Validate API key by making a simple API call to the server // Validate API key by making a simple API call to the server
const ws_url = try std.fmt.allocPrint(allocator, "ws://{s}:9101/ws", .{config.worker_host}); const ws_url = try std.fmt.allocPrint(allocator, "ws://{s}:9103/ws", .{config.worker_host});
defer allocator.free(ws_url); defer allocator.free(ws_url);
// Try to connect with the API key to validate it // Try to connect with the API key to validate it
@ -65,18 +65,16 @@ pub fn run(allocator: std.mem.Allocator, args: []const []const u8) !void {
var user_context = try authenticateUser(allocator, config); var user_context = try authenticateUser(allocator, config);
defer user_context.deinit(); defer user_context.deinit();
// Use plain password for WebSocket authentication, compute hash for binary protocol // API key is already hashed in config, use as-is
const api_key_plain = config.api_key; // Plain password from config const api_key_hash = config.api_key;
const api_key_hash = try crypto.hashString(allocator, api_key_plain);
defer allocator.free(api_key_hash);
// Connect to WebSocket and request status // Connect to WebSocket and request status
const ws_url = std.fmt.allocPrint(allocator, "ws://{s}:9101/ws", .{config.worker_host}) catch |err| { const ws_url = std.fmt.allocPrint(allocator, "ws://{s}:9103/ws", .{config.worker_host}) catch |err| {
return err; return err;
}; };
defer allocator.free(ws_url); defer allocator.free(ws_url);
var client = ws.Client.connect(allocator, ws_url, api_key_plain) catch |err| { var client = ws.Client.connect(allocator, ws_url, api_key_hash) catch |err| {
switch (err) { switch (err) {
error.ConnectionRefused => return error.ConnectionFailed, error.ConnectionRefused => return error.ConnectionFailed,
error.NetworkUnreachable => return error.ServerUnreachable, error.NetworkUnreachable => return error.ServerUnreachable,
@ -86,9 +84,7 @@ pub fn run(allocator: std.mem.Allocator, args: []const []const u8) !void {
}; };
defer client.close(); defer client.close();
client.sendStatusRequest(api_key_hash) catch { try client.sendStatusRequest(api_key_hash);
return error.RequestFailed;
};
// Receive and display user-filtered response // Receive and display user-filtered response
try client.receiveAndHandleStatusResponse(allocator, user_context); try client.receiveAndHandleStatusResponse(allocator, user_context);

View file

@ -125,7 +125,7 @@ pub const Client = struct {
const key = try generateWebSocketKey(allocator); const key = try generateWebSocketKey(allocator);
defer allocator.free(key); defer allocator.free(key);
// Send handshake request with API key authentication // API key is already hashed in config, send as-is
const request = try std.fmt.allocPrint(allocator, "GET {s} HTTP/1.1\r\n" ++ const request = try std.fmt.allocPrint(allocator, "GET {s} HTTP/1.1\r\n" ++
"Host: {s}\r\n" ++ "Host: {s}\r\n" ++
"Upgrade: websocket\r\n" ++ "Upgrade: websocket\r\n" ++
@ -427,15 +427,40 @@ pub const Client = struct {
/// Receive and handle status response with user filtering /// Receive and handle status response with user filtering
pub fn receiveAndHandleStatusResponse(self: *Client, allocator: std.mem.Allocator, user_context: anytype) !void { pub fn receiveAndHandleStatusResponse(self: *Client, allocator: std.mem.Allocator, user_context: anytype) !void {
_ = user_context; // TODO: Use for filtering
const message = try self.receiveMessage(allocator); const message = try self.receiveMessage(allocator);
defer allocator.free(message); defer allocator.free(message);
// For now, just display a simple success message with user context // Check if message is JSON or plain text
// TODO: Parse JSON response and display user-filtered jobs if (message[0] == '{') {
std.debug.print("Status retrieved for user: {s}\n", .{user_context.name}); // Parse JSON response
const parsed = try std.json.parseFromSlice(std.json.Value, allocator, message, .{});
defer parsed.deinit();
const root = parsed.value.object;
// Display basic status summary // Display user info
std.debug.print("Your jobs will be displayed here\n", .{}); if (root.get("user")) |user_obj| {
const user = user_obj.object;
const name = user.get("name").?.string;
const admin = user.get("admin").?.bool;
std.debug.print("Status retrieved for user: {s} (admin: {})\n", .{ name, admin });
}
// Display task summary
if (root.get("tasks")) |tasks_obj| {
const tasks = tasks_obj.object;
const total = tasks.get("total").?.integer;
const queued = tasks.get("queued").?.integer;
const running = tasks.get("running").?.integer;
const failed = tasks.get("failed").?.integer;
const completed = tasks.get("completed").?.integer;
std.debug.print("Tasks: {d} total, {d} queued, {d} running, {d} failed, {d} completed\n", .{ total, queued, running, failed, completed });
}
} else {
// Handle plain text response
std.debug.print("Server response: {s}\n", .{message});
return;
}
} }
/// Receive and handle cancel response with user permissions /// Receive and handle cancel response with user permissions

101
cli/src/utils/history.zig Normal file
View file

@ -0,0 +1,101 @@
const std = @import("std");
pub const Entry = struct {
job_name: []const u8,
commit_id: []const u8,
queued_at: i64,
};
fn historyDir(allocator: std.mem.Allocator) ![]const u8 {
const home = std.posix.getenv("HOME") orelse return error.NoHomeDir;
return std.fmt.allocPrint(allocator, "{s}/.ml", .{home});
}
fn historyPath(allocator: std.mem.Allocator) ![]const u8 {
const dir = try historyDir(allocator);
defer allocator.free(dir);
return std.fmt.allocPrint(allocator, "{s}/history.log", .{dir});
}
pub fn record(allocator: std.mem.Allocator, job_name: []const u8, commit_id: []const u8) !void {
const dir = try historyDir(allocator);
defer allocator.free(dir);
std.fs.makeDirAbsolute(dir) catch |err| {
if (err != error.PathAlreadyExists) return err;
};
const path = try historyPath(allocator);
defer allocator.free(path);
var file = std.fs.openFileAbsolute(path, .{ .mode = .read_write }) catch |err| switch (err) {
error.FileNotFound => try std.fs.createFileAbsolute(path, .{}),
else => return err,
};
defer file.close();
// Append at end of file
try file.seekFromEnd(0);
const ts = std.time.timestamp();
// Format one line into a temporary buffer
const line = try std.fmt.allocPrint(
allocator,
"{d}\t{s}\t{s}\n",
.{ ts, job_name, commit_id },
);
defer allocator.free(line);
try file.writeAll(line);
}
pub fn loadEntries(allocator: std.mem.Allocator) ![]Entry {
const path = historyPath(allocator) catch |err| switch (err) {
error.NoHomeDir => return error.NoHomeDir,
else => return err,
};
defer allocator.free(path);
const file = std.fs.openFileAbsolute(path, .{}) catch |err| switch (err) {
error.FileNotFound => return &.{},
else => return err,
};
defer file.close();
const contents = try file.readToEndAlloc(allocator, 1024 * 1024);
defer allocator.free(contents);
var entries = std.ArrayListUnmanaged(Entry){};
defer entries.deinit(allocator);
var it = std.mem.splitScalar(u8, contents, '\n');
while (it.next()) |line_full| {
const line = std.mem.trim(u8, line_full, " \t\r");
if (line.len == 0) continue;
var parts = std.mem.splitScalar(u8, line, '\t');
const ts_str = parts.next() orelse continue;
const job = parts.next() orelse continue;
const commit = parts.next() orelse continue;
const ts = std.fmt.parseInt(i64, ts_str, 10) catch continue;
const job_dup = try allocator.dupe(u8, job);
const commit_dup = try allocator.dupe(u8, commit);
try entries.append(allocator, Entry{
.job_name = job_dup,
.commit_id = commit_dup,
.queued_at = ts,
});
}
return try entries.toOwnedSlice(allocator);
}
pub fn freeEntries(allocator: std.mem.Allocator, entries: []Entry) void {
for (entries) |entry| {
allocator.free(entry.job_name);
allocator.free(entry.commit_id);
}
allocator.free(entries);
}

View file

@ -1,3 +1,4 @@
// Package main implements the fetch_ml API server
package main package main
import ( import (
@ -17,6 +18,7 @@ import (
"github.com/jfraeys/fetch_ml/internal/auth" "github.com/jfraeys/fetch_ml/internal/auth"
"github.com/jfraeys/fetch_ml/internal/config" "github.com/jfraeys/fetch_ml/internal/config"
"github.com/jfraeys/fetch_ml/internal/experiment" "github.com/jfraeys/fetch_ml/internal/experiment"
"github.com/jfraeys/fetch_ml/internal/fileutil"
"github.com/jfraeys/fetch_ml/internal/logging" "github.com/jfraeys/fetch_ml/internal/logging"
"github.com/jfraeys/fetch_ml/internal/middleware" "github.com/jfraeys/fetch_ml/internal/middleware"
"github.com/jfraeys/fetch_ml/internal/queue" "github.com/jfraeys/fetch_ml/internal/queue"
@ -24,17 +26,19 @@ import (
"gopkg.in/yaml.v3" "gopkg.in/yaml.v3"
) )
// Config structure matching worker config // Config structure matching worker config.
type Config struct { type Config struct {
BasePath string `yaml:"base_path"` BasePath string `yaml:"base_path"`
Auth auth.AuthConfig `yaml:"auth"` Auth auth.Config `yaml:"auth"`
Server ServerConfig `yaml:"server"` Server ServerConfig `yaml:"server"`
Security SecurityConfig `yaml:"security"` Security SecurityConfig `yaml:"security"`
Redis RedisConfig `yaml:"redis"` Redis RedisConfig `yaml:"redis"`
Database DatabaseConfig `yaml:"database"` Database DatabaseConfig `yaml:"database"`
Logging logging.Config `yaml:"logging"` Logging logging.Config `yaml:"logging"`
Resources config.ResourceConfig `yaml:"resources"`
} }
// RedisConfig holds Redis connection configuration.
type RedisConfig struct { type RedisConfig struct {
Addr string `yaml:"addr"` Addr string `yaml:"addr"`
Password string `yaml:"password"` Password string `yaml:"password"`
@ -42,6 +46,7 @@ type RedisConfig struct {
URL string `yaml:"url"` URL string `yaml:"url"`
} }
// DatabaseConfig holds database connection configuration.
type DatabaseConfig struct { type DatabaseConfig struct {
Type string `yaml:"type"` Type string `yaml:"type"`
Connection string `yaml:"connection"` Connection string `yaml:"connection"`
@ -52,37 +57,43 @@ type DatabaseConfig struct {
Database string `yaml:"database"` Database string `yaml:"database"`
} }
// SecurityConfig holds security-related configuration.
type SecurityConfig struct { type SecurityConfig struct {
RateLimit RateLimitConfig `yaml:"rate_limit"` RateLimit RateLimitConfig `yaml:"rate_limit"`
IPWhitelist []string `yaml:"ip_whitelist"` IPWhitelist []string `yaml:"ip_whitelist"`
FailedLockout LockoutConfig `yaml:"failed_login_lockout"` FailedLockout LockoutConfig `yaml:"failed_login_lockout"`
} }
// RateLimitConfig holds rate limiting configuration.
type RateLimitConfig struct { type RateLimitConfig struct {
Enabled bool `yaml:"enabled"` Enabled bool `yaml:"enabled"`
RequestsPerMinute int `yaml:"requests_per_minute"` RequestsPerMinute int `yaml:"requests_per_minute"`
BurstSize int `yaml:"burst_size"` BurstSize int `yaml:"burst_size"`
} }
// LockoutConfig holds failed login lockout configuration.
type LockoutConfig struct { type LockoutConfig struct {
Enabled bool `yaml:"enabled"` Enabled bool `yaml:"enabled"`
MaxAttempts int `yaml:"max_attempts"` MaxAttempts int `yaml:"max_attempts"`
LockoutDuration string `yaml:"lockout_duration"` LockoutDuration string `yaml:"lockout_duration"`
} }
// ServerConfig holds server configuration.
type ServerConfig struct { type ServerConfig struct {
Address string `yaml:"address"` Address string `yaml:"address"`
TLS TLSConfig `yaml:"tls"` TLS TLSConfig `yaml:"tls"`
} }
// TLSConfig holds TLS configuration.
type TLSConfig struct { type TLSConfig struct {
Enabled bool `yaml:"enabled"` Enabled bool `yaml:"enabled"`
CertFile string `yaml:"cert_file"` CertFile string `yaml:"cert_file"`
KeyFile string `yaml:"key_file"` KeyFile string `yaml:"key_file"`
} }
// LoadConfig loads configuration from a YAML file.
func LoadConfig(path string) (*Config, error) { func LoadConfig(path string) (*Config, error) {
data, err := os.ReadFile(path) data, err := fileutil.SecureFileRead(path)
if err != nil { if err != nil {
return nil, err return nil, err
} }
@ -95,69 +106,128 @@ func LoadConfig(path string) (*Config, error) {
} }
func main() { func main() {
// Parse flags
configFile := flag.String("config", "configs/config-local.yaml", "Configuration file path") configFile := flag.String("config", "configs/config-local.yaml", "Configuration file path")
apiKey := flag.String("api-key", "", "API key for authentication") apiKey := flag.String("api-key", "", "API key for authentication")
flag.Parse() flag.Parse()
// Load config cfg, err := loadServerConfig(*configFile)
resolvedConfig, err := config.ResolveConfigPath(*configFile)
if err != nil {
log.Fatalf("Failed to resolve config: %v", err)
}
cfg, err := LoadConfig(resolvedConfig)
if err != nil { if err != nil {
log.Fatalf("Failed to load config: %v", err) log.Fatalf("Failed to load config: %v", err)
} }
// Ensure log directory exists if err := ensureLogDirectory(cfg.Logging); err != nil {
if cfg.Logging.File != "" { log.Fatalf("Failed to prepare log directory: %v", err)
logDir := filepath.Dir(cfg.Logging.File)
log.Printf("Creating log directory: %s", logDir)
if err := os.MkdirAll(logDir, 0755); err != nil {
log.Fatalf("Failed to create log directory: %v", err)
}
} }
// Setup logging logger := setupLogger(cfg.Logging)
logger := logging.NewLoggerFromConfig(cfg.Logging)
ctx := logging.EnsureTrace(context.Background())
logger = logger.Component(ctx, "api-server")
// Setup experiment manager expManager, err := initExperimentManager(cfg.BasePath, logger)
basePath := cfg.BasePath if err != nil {
logger.Fatal("failed to initialize experiment manager", "error", err)
}
taskQueue, queueCleanup := initTaskQueue(cfg, logger)
if queueCleanup != nil {
defer queueCleanup()
}
db, dbCleanup := initDatabase(cfg, logger)
if dbCleanup != nil {
defer dbCleanup()
}
authCfg := buildAuthConfig(cfg.Auth, logger)
sec := newSecurityMiddleware(cfg)
mux := buildHTTPMux(cfg, logger, expManager, taskQueue, authCfg, db)
finalHandler := wrapWithMiddleware(cfg, sec, mux)
server := newHTTPServer(cfg, finalHandler)
startServer(server, cfg, logger)
waitForShutdown(server, logger)
_ = apiKey // Reserved for future authentication enhancements
}
func loadServerConfig(path string) (*Config, error) {
resolvedConfig, err := config.ResolveConfigPath(path)
if err != nil {
return nil, err
}
cfg, err := LoadConfig(resolvedConfig)
if err != nil {
return nil, err
}
cfg.Resources.ApplyDefaults()
return cfg, nil
}
func ensureLogDirectory(cfg logging.Config) error {
if cfg.File == "" {
return nil
}
logDir := filepath.Dir(cfg.File)
log.Printf("Creating log directory: %s", logDir)
return os.MkdirAll(logDir, 0750)
}
func setupLogger(cfg logging.Config) *logging.Logger {
logger := logging.NewLoggerFromConfig(cfg)
ctx := logging.EnsureTrace(context.Background())
return logger.Component(ctx, "api-server")
}
func initExperimentManager(basePath string, logger *logging.Logger) (*experiment.Manager, error) {
if basePath == "" { if basePath == "" {
basePath = "/tmp/ml-experiments" basePath = "/tmp/ml-experiments"
} }
expManager := experiment.NewManager(basePath) expManager := experiment.NewManager(basePath)
log.Printf("Initializing experiment manager with base_path: %s", basePath) log.Printf("Initializing experiment manager with base_path: %s", basePath)
if err := expManager.Initialize(); err != nil { if err := expManager.Initialize(); err != nil {
logger.Fatal("failed to initialize experiment manager", "error", err) return nil, err
} }
logger.Info("experiment manager initialized", "base_path", basePath) logger.Info("experiment manager initialized", "base_path", basePath)
return expManager, nil
}
// Setup auth func buildAuthConfig(cfg auth.Config, logger *logging.Logger) *auth.Config {
var authCfg *auth.AuthConfig if !cfg.Enabled {
if cfg.Auth.Enabled { return nil
authCfg = &cfg.Auth
logger.Info("authentication enabled")
} }
// Setup HTTP server with security middleware logger.Info("authentication enabled")
mux := http.NewServeMux() return &cfg
}
// Convert API keys from map to slice for security middleware func newSecurityMiddleware(cfg *Config) *middleware.SecurityMiddleware {
apiKeys := make([]string, 0, len(cfg.Auth.APIKeys)) apiKeys := collectAPIKeys(cfg.Auth.APIKeys)
for username := range cfg.Auth.APIKeys { rlOpts := buildRateLimitOptions(cfg.Security.RateLimit)
// For now, use username as the key (in production, this should be the actual API key) return middleware.NewSecurityMiddleware(apiKeys, os.Getenv("JWT_SECRET"), rlOpts)
}
func collectAPIKeys(keys map[auth.Username]auth.APIKeyEntry) []string {
apiKeys := make([]string, 0, len(keys))
for username := range keys {
apiKeys = append(apiKeys, string(username)) apiKeys = append(apiKeys, string(username))
} }
return apiKeys
}
// Create security middleware func buildRateLimitOptions(cfg RateLimitConfig) *middleware.RateLimitOptions {
sec := middleware.NewSecurityMiddleware(apiKeys, os.Getenv("JWT_SECRET")) if !cfg.Enabled || cfg.RequestsPerMinute <= 0 {
return nil
}
// Setup TaskQueue return &middleware.RateLimitOptions{
RequestsPerMinute: cfg.RequestsPerMinute,
BurstSize: cfg.BurstSize,
}
}
func initTaskQueue(cfg *Config, logger *logging.Logger) (*queue.TaskQueue, func()) {
queueCfg := queue.Config{ queueCfg := queue.Config{
RedisAddr: cfg.Redis.Addr, RedisAddr: cfg.Redis.Addr,
RedisPassword: cfg.Redis.Password, RedisPassword: cfg.Redis.Password,
@ -166,7 +236,6 @@ func main() {
if queueCfg.RedisAddr == "" { if queueCfg.RedisAddr == "" {
queueCfg.RedisAddr = config.DefaultRedisAddr queueCfg.RedisAddr = config.DefaultRedisAddr
} }
// Support URL format for Redis
if cfg.Redis.URL != "" { if cfg.Redis.URL != "" {
queueCfg.RedisAddr = cfg.Redis.URL queueCfg.RedisAddr = cfg.Redis.URL
} }
@ -174,160 +243,174 @@ func main() {
taskQueue, err := queue.NewTaskQueue(queueCfg) taskQueue, err := queue.NewTaskQueue(queueCfg)
if err != nil { if err != nil {
logger.Error("failed to initialize task queue", "error", err) logger.Error("failed to initialize task queue", "error", err)
// We continue without queue, but queue operations will fail return nil, nil
} else {
logger.Info("task queue initialized", "redis_addr", queueCfg.RedisAddr)
defer func() {
logger.Info("stopping task queue...")
if err := taskQueue.Close(); err != nil {
logger.Error("failed to stop task queue", "error", err)
} else {
logger.Info("task queue stopped")
}
}()
} }
// Setup database if configured logger.Info("task queue initialized", "redis_addr", queueCfg.RedisAddr)
var db *storage.DB cleanup := func() {
if cfg.Database.Type != "" { logger.Info("stopping task queue...")
dbConfig := storage.DBConfig{ if err := taskQueue.Close(); err != nil {
Type: cfg.Database.Type, logger.Error("failed to stop task queue", "error", err)
Connection: cfg.Database.Connection,
Host: cfg.Database.Host,
Port: cfg.Database.Port,
Username: cfg.Database.Username,
Password: cfg.Database.Password,
Database: cfg.Database.Database,
}
db, err = storage.NewDB(dbConfig)
if err != nil {
logger.Error("failed to initialize database", "type", cfg.Database.Type, "error", err)
} else { } else {
// Load appropriate database schema logger.Info("task queue stopped")
var schemaPath string
if cfg.Database.Type == "sqlite" {
schemaPath = "internal/storage/schema.sql"
} else if cfg.Database.Type == "postgres" || cfg.Database.Type == "postgresql" {
schemaPath = "internal/storage/schema_postgres.sql"
} else {
logger.Error("unsupported database type", "type", cfg.Database.Type)
db.Close()
db = nil
}
if db != nil && schemaPath != "" {
schema, err := os.ReadFile(schemaPath)
if err != nil {
logger.Error("failed to read database schema file", "path", schemaPath, "error", err)
db.Close()
db = nil
} else {
if err := db.Initialize(string(schema)); err != nil {
logger.Error("failed to initialize database schema", "error", err)
db.Close()
db = nil
} else {
logger.Info("database initialized", "type", cfg.Database.Type, "connection", cfg.Database.Connection)
defer func() {
logger.Info("closing database connection...")
if err := db.Close(); err != nil {
logger.Error("failed to close database", "error", err)
} else {
logger.Info("database connection closed")
}
}()
}
}
}
} }
} }
return taskQueue, cleanup
}
// Setup WebSocket handler with authentication func initDatabase(cfg *Config, logger *logging.Logger) (*storage.DB, func()) {
if cfg.Database.Type == "" {
return nil, nil
}
dbConfig := storage.DBConfig{
Type: cfg.Database.Type,
Connection: cfg.Database.Connection,
Host: cfg.Database.Host,
Port: cfg.Database.Port,
Username: cfg.Database.Username,
Password: cfg.Database.Password,
Database: cfg.Database.Database,
}
db, err := storage.NewDB(dbConfig)
if err != nil {
logger.Error("failed to initialize database", "type", cfg.Database.Type, "error", err)
return nil, nil
}
schemaPath := schemaPathForDB(cfg.Database.Type)
if schemaPath == "" {
logger.Error("unsupported database type", "type", cfg.Database.Type)
_ = db.Close()
return nil, nil
}
schema, err := fileutil.SecureFileRead(schemaPath)
if err != nil {
logger.Error("failed to read database schema file", "path", schemaPath, "error", err)
_ = db.Close()
return nil, nil
}
if err := db.Initialize(string(schema)); err != nil {
logger.Error("failed to initialize database schema", "error", err)
_ = db.Close()
return nil, nil
}
logger.Info("database initialized", "type", cfg.Database.Type, "connection", cfg.Database.Connection)
cleanup := func() {
logger.Info("closing database connection...")
if err := db.Close(); err != nil {
logger.Error("failed to close database", "error", err)
} else {
logger.Info("database connection closed")
}
}
return db, cleanup
}
func schemaPathForDB(dbType string) string {
switch dbType {
case "sqlite":
return "internal/storage/schema_sqlite.sql"
case "postgres", "postgresql":
return "internal/storage/schema_postgres.sql"
default:
return ""
}
}
func buildHTTPMux(
cfg *Config,
logger *logging.Logger,
expManager *experiment.Manager,
taskQueue *queue.TaskQueue,
authCfg *auth.Config,
db *storage.DB,
) *http.ServeMux {
mux := http.NewServeMux()
wsHandler := api.NewWSHandler(authCfg, logger, expManager, taskQueue) wsHandler := api.NewWSHandler(authCfg, logger, expManager, taskQueue)
// WebSocket endpoint - no middleware to avoid hijacking issues
mux.Handle("/ws", wsHandler) mux.Handle("/ws", wsHandler)
mux.HandleFunc("/health", func(w http.ResponseWriter, r *http.Request) { mux.HandleFunc("/health", func(w http.ResponseWriter, _ *http.Request) {
w.WriteHeader(http.StatusOK) w.WriteHeader(http.StatusOK)
fmt.Fprintf(w, "OK\n") _, _ = fmt.Fprintf(w, "OK\n")
}) })
// Database status endpoint mux.HandleFunc("/db-status", func(w http.ResponseWriter, _ *http.Request) {
mux.HandleFunc("/db-status", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json") w.Header().Set("Content-Type", "application/json")
if db != nil { if db == nil {
// Test database connection with a simple query
var result struct {
Status string `json:"status"`
Type string `json:"type"`
Path string `json:"path"`
Message string `json:"message"`
}
result.Status = "connected"
result.Type = "sqlite"
result.Path = cfg.Database.Connection
result.Message = "SQLite database is operational"
// Test a simple query to verify connectivity
if err := db.RecordSystemMetric("db_test", "ok"); err != nil {
result.Status = "error"
result.Message = fmt.Sprintf("Database query failed: %v", err)
}
jsonBytes, _ := json.Marshal(result)
w.Write(jsonBytes)
} else {
w.WriteHeader(http.StatusServiceUnavailable) w.WriteHeader(http.StatusServiceUnavailable)
fmt.Fprintf(w, `{"status":"disconnected","message":"Database not configured or failed to initialize"}`) _, _ = fmt.Fprintf(w, `{"status":"disconnected","message":"Database not configured or failed to initialize"}`)
return
} }
var result struct {
Status string `json:"status"`
Type string `json:"type"`
Path string `json:"path"`
Message string `json:"message"`
}
result.Status = "connected"
result.Type = cfg.Database.Type
result.Path = cfg.Database.Connection
result.Message = fmt.Sprintf("%s database is operational", cfg.Database.Type)
if err := db.RecordSystemMetric("db_test", "ok"); err != nil {
result.Status = "error"
result.Message = fmt.Sprintf("Database query failed: %v", err)
}
jsonBytes, _ := json.Marshal(result)
_, _ = w.Write(jsonBytes)
}) })
// Apply security middleware to all routes except WebSocket return mux
// Create separate handlers for WebSocket vs other routes }
var finalHandler http.Handler = mux
// Wrap non-websocket routes with security middleware func wrapWithMiddleware(cfg *Config, sec *middleware.SecurityMiddleware, mux *http.ServeMux) http.Handler {
finalHandler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) { return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path == "/ws" { if r.URL.Path == "/ws" {
mux.ServeHTTP(w, r) mux.ServeHTTP(w, r)
} else { return
// Apply middleware chain for non-WebSocket routes
handler := sec.RateLimit(mux)
handler = middleware.SecurityHeaders(handler)
handler = middleware.CORS(handler)
handler = middleware.RequestTimeout(30 * time.Second)(handler)
// Apply audit logger and IP whitelist only to non-WebSocket routes
handler = middleware.AuditLogger(handler)
if len(cfg.Security.IPWhitelist) > 0 {
handler = sec.IPWhitelist(cfg.Security.IPWhitelist)(handler)
}
handler.ServeHTTP(w, r)
} }
handler := sec.RateLimit(mux)
handler = middleware.SecurityHeaders(handler)
handler = middleware.CORS(handler)
handler = middleware.RequestTimeout(30 * time.Second)(handler)
handler = middleware.AuditLogger(handler)
if len(cfg.Security.IPWhitelist) > 0 {
handler = sec.IPWhitelist(cfg.Security.IPWhitelist)(handler)
}
handler.ServeHTTP(w, r)
}) })
}
var handler http.Handler = finalHandler func newHTTPServer(cfg *Config, handler http.Handler) *http.Server {
return &http.Server{
server := &http.Server{
Addr: cfg.Server.Address, Addr: cfg.Server.Address,
Handler: handler, Handler: handler,
ReadTimeout: 15 * time.Second, ReadTimeout: 30 * time.Second,
WriteTimeout: 15 * time.Second, WriteTimeout: 30 * time.Second,
IdleTimeout: 60 * time.Second, IdleTimeout: 120 * time.Second,
} }
}
func startServer(server *http.Server, cfg *Config, logger *logging.Logger) {
if !cfg.Server.TLS.Enabled { if !cfg.Server.TLS.Enabled {
logger.Warn("TLS disabled for API server; do not use this configuration in production", "address", cfg.Server.Address) logger.Warn("TLS disabled for API server; do not use this configuration in production", "address", cfg.Server.Address)
} }
// Start server in goroutine
go func() { go func() {
// Setup TLS if configured
if cfg.Server.TLS.Enabled { if cfg.Server.TLS.Enabled {
logger.Info("starting HTTPS server", "address", cfg.Server.Address) logger.Info("starting HTTPS server", "address", cfg.Server.Address)
if err := server.ListenAndServeTLS(cfg.Server.TLS.CertFile, cfg.Server.TLS.KeyFile); err != nil && err != http.ErrServerClosed { if err := server.ListenAndServeTLS(
cfg.Server.TLS.CertFile,
cfg.Server.TLS.KeyFile,
); err != nil && err != http.ErrServerClosed {
logger.Error("HTTPS server failed", "error", err) logger.Error("HTTPS server failed", "error", err)
} }
} else { } else {
@ -338,8 +421,9 @@ func main() {
} }
os.Exit(1) os.Exit(1)
}() }()
}
// Setup graceful shutdown func waitForShutdown(server *http.Server, logger *logging.Logger) {
sigChan := make(chan os.Signal, 1) sigChan := make(chan os.Signal, 1)
signal.Notify(sigChan, syscall.SIGINT, syscall.SIGTERM) signal.Notify(sigChan, syscall.SIGINT, syscall.SIGTERM)
@ -357,7 +441,4 @@ func main() {
} }
logger.Info("api server stopped") logger.Info("api server stopped")
_ = expManager // Use expManager to avoid unused warning
_ = apiKey // Will be used for auth later
} }

View file

@ -1,3 +1,4 @@
// Package main implements the fetch_ml configuration linter
package main package main
import ( import (
@ -9,6 +10,7 @@ import (
"path/filepath" "path/filepath"
"strings" "strings"
"github.com/jfraeys/fetch_ml/internal/fileutil"
"github.com/xeipuuv/gojsonschema" "github.com/xeipuuv/gojsonschema"
"gopkg.in/yaml.v3" "gopkg.in/yaml.v3"
) )
@ -51,12 +53,12 @@ func main() {
} }
func loadSchema(schemaPath string) (gojsonschema.JSONLoader, error) { func loadSchema(schemaPath string) (gojsonschema.JSONLoader, error) {
data, err := os.ReadFile(schemaPath) data, err := fileutil.SecureFileRead(schemaPath)
if err != nil { if err != nil {
return nil, err return nil, err
} }
var schemaYAML interface{} var schemaYAML any
if err := yaml.Unmarshal(data, &schemaYAML); err != nil { if err := yaml.Unmarshal(data, &schemaYAML); err != nil {
return nil, err return nil, err
} }
@ -70,7 +72,10 @@ func loadSchema(schemaPath string) (gojsonschema.JSONLoader, error) {
if err != nil { if err != nil {
return nil, err return nil, err
} }
defer tmpFile.Close() defer func() {
_ = tmpFile.Close()
_ = os.Remove(tmpFile.Name())
}()
if _, err := tmpFile.Write(schemaJSON); err != nil { if _, err := tmpFile.Write(schemaJSON); err != nil {
return nil, err return nil, err
@ -80,7 +85,7 @@ func loadSchema(schemaPath string) (gojsonschema.JSONLoader, error) {
} }
func validateConfig(schemaLoader gojsonschema.JSONLoader, configPath string) error { func validateConfig(schemaLoader gojsonschema.JSONLoader, configPath string) error {
data, err := os.ReadFile(configPath) data, err := fileutil.SecureFileRead(configPath)
if err != nil { if err != nil {
return err return err
} }

View file

@ -3,13 +3,14 @@ package main
import ( import (
"fmt" "fmt"
"os"
"github.com/jfraeys/fetch_ml/internal/auth" "github.com/jfraeys/fetch_ml/internal/auth"
"github.com/jfraeys/fetch_ml/internal/config" "github.com/jfraeys/fetch_ml/internal/config"
"github.com/jfraeys/fetch_ml/internal/fileutil"
"gopkg.in/yaml.v3" "gopkg.in/yaml.v3"
) )
// DataConfig holds the configuration for the data manager
type DataConfig struct { type DataConfig struct {
// ML Server (where training runs) // ML Server (where training runs)
MLHost string `yaml:"ml_host"` MLHost string `yaml:"ml_host"`
@ -31,7 +32,7 @@ type DataConfig struct {
RedisDB int `yaml:"redis_db"` RedisDB int `yaml:"redis_db"`
// Authentication // Authentication
Auth auth.AuthConfig `yaml:"auth"` Auth auth.Config `yaml:"auth"`
// Cleanup settings // Cleanup settings
MaxAgeHours int `yaml:"max_age_hours"` // Delete data older than X hours MaxAgeHours int `yaml:"max_age_hours"` // Delete data older than X hours
@ -45,8 +46,9 @@ type DataConfig struct {
GPUAccess bool `yaml:"gpu_access"` GPUAccess bool `yaml:"gpu_access"`
} }
// LoadDataConfig loads data manager configuration from a YAML file.
func LoadDataConfig(path string) (*DataConfig, error) { func LoadDataConfig(path string) (*DataConfig, error) {
data, err := os.ReadFile(path) data, err := fileutil.SecureFileRead(path)
if err != nil { if err != nil {
return nil, err return nil, err
} }
@ -96,7 +98,7 @@ func LoadDataConfig(path string) (*DataConfig, error) {
return &cfg, nil return &cfg, nil
} }
// Validate implements utils.Validator interface // Validate implements utils.Validator interface.
func (c *DataConfig) Validate() error { func (c *DataConfig) Validate() error {
if c.MLPort != 0 { if c.MLPort != 0 {
if err := config.ValidatePort(c.MLPort); err != nil { if err := config.ValidatePort(c.MLPort); err != nil {

View file

@ -16,16 +16,17 @@ import (
"github.com/jfraeys/fetch_ml/internal/auth" "github.com/jfraeys/fetch_ml/internal/auth"
"github.com/jfraeys/fetch_ml/internal/container" "github.com/jfraeys/fetch_ml/internal/container"
"github.com/jfraeys/fetch_ml/internal/errors" "github.com/jfraeys/fetch_ml/internal/errtypes"
"github.com/jfraeys/fetch_ml/internal/logging" "github.com/jfraeys/fetch_ml/internal/logging"
"github.com/jfraeys/fetch_ml/internal/network" "github.com/jfraeys/fetch_ml/internal/network"
"github.com/jfraeys/fetch_ml/internal/queue" "github.com/jfraeys/fetch_ml/internal/queue"
"github.com/jfraeys/fetch_ml/internal/telemetry" "github.com/jfraeys/fetch_ml/internal/telemetry"
) )
// SSHClient alias for convenience // SSHClient alias for convenience.
type SSHClient = network.SSHClient type SSHClient = network.SSHClient
// DataManager manages data synchronization between NAS and ML server.
type DataManager struct { type DataManager struct {
config *DataConfig config *DataConfig
mlServer *SSHClient mlServer *SSHClient
@ -36,6 +37,7 @@ type DataManager struct {
logger *logging.Logger logger *logging.Logger
} }
// DataFetchRequest represents a request to fetch datasets.
type DataFetchRequest struct { type DataFetchRequest struct {
JobName string `json:"job_name"` JobName string `json:"job_name"`
Datasets []string `json:"datasets"` // Dataset names to fetch Datasets []string `json:"datasets"` // Dataset names to fetch
@ -43,6 +45,7 @@ type DataFetchRequest struct {
RequestedAt time.Time `json:"requested_at"` RequestedAt time.Time `json:"requested_at"`
} }
// DatasetInfo contains information about a dataset.
type DatasetInfo struct { type DatasetInfo struct {
Name string `json:"name"` Name string `json:"name"`
SizeBytes int64 `json:"size_bytes"` SizeBytes int64 `json:"size_bytes"`
@ -50,7 +53,8 @@ type DatasetInfo struct {
LastAccess time.Time `json:"last_access"` LastAccess time.Time `json:"last_access"`
} }
func NewDataManager(cfg *DataConfig, apiKey string) (*DataManager, error) { // NewDataManager creates a new DataManager instance.
func NewDataManager(cfg *DataConfig, _ string) (*DataManager, error) {
mlServer, err := network.NewSSHClient(cfg.MLHost, cfg.MLUser, cfg.MLSSHKey, cfg.MLPort, "") mlServer, err := network.NewSSHClient(cfg.MLHost, cfg.MLUser, cfg.MLSSHKey, cfg.MLPort, "")
if err != nil { if err != nil {
return nil, fmt.Errorf("ML server connection failed: %w", err) return nil, fmt.Errorf("ML server connection failed: %w", err)
@ -79,7 +83,11 @@ func NewDataManager(cfg *DataConfig, apiKey string) (*DataManager, error) {
if cfg.MLDataDir != "" { if cfg.MLDataDir != "" {
if _, err := mlServer.Exec(fmt.Sprintf("mkdir -p %s", cfg.MLDataDir)); err != nil { if _, err := mlServer.Exec(fmt.Sprintf("mkdir -p %s", cfg.MLDataDir)); err != nil {
logger := logging.NewLogger(slog.LevelInfo, false) logger := logging.NewLogger(slog.LevelInfo, false)
logger.Job(context.Background(), "data_manager", "").Error("Failed to create ML data directory", "dir", cfg.MLDataDir, "error", err) logger.Job(context.Background(), "data_manager", "").Error(
"Failed to create ML data directory",
"dir", cfg.MLDataDir,
"error", err,
)
} }
} }
@ -123,6 +131,7 @@ func NewDataManager(cfg *DataConfig, apiKey string) (*DataManager, error) {
}, nil }, nil
} }
// FetchDataset fetches a dataset from NAS to ML server.
func (dm *DataManager) FetchDataset(jobName, datasetName string) error { func (dm *DataManager) FetchDataset(jobName, datasetName string) error {
ctx, cancel := context.WithTimeout(dm.ctx, 30*time.Minute) ctx, cancel := context.WithTimeout(dm.ctx, 30*time.Minute)
defer cancel() defer cancel()
@ -134,7 +143,7 @@ func (dm *DataManager) FetchDataset(jobName, datasetName string) error {
func (dm *DataManager) fetchDatasetInternal(ctx context.Context, jobName, datasetName string) error { func (dm *DataManager) fetchDatasetInternal(ctx context.Context, jobName, datasetName string) error {
if err := container.ValidateJobName(datasetName); err != nil { if err := container.ValidateJobName(datasetName); err != nil {
return &errors.DataFetchError{ return &errtypes.DataFetchError{
Dataset: datasetName, Dataset: datasetName,
JobName: jobName, JobName: jobName,
Err: fmt.Errorf("invalid dataset name: %w", err), Err: fmt.Errorf("invalid dataset name: %w", err),
@ -146,7 +155,7 @@ func (dm *DataManager) fetchDatasetInternal(ctx context.Context, jobName, datase
// Validate dataset size and run cleanup if needed // Validate dataset size and run cleanup if needed
if err := dm.ValidateDatasetWithCleanup(datasetName); err != nil { if err := dm.ValidateDatasetWithCleanup(datasetName); err != nil {
return &errors.DataFetchError{ return &errtypes.DataFetchError{
Dataset: datasetName, Dataset: datasetName,
JobName: jobName, JobName: jobName,
Err: fmt.Errorf("dataset size validation failed: %w", err), Err: fmt.Errorf("dataset size validation failed: %w", err),
@ -158,7 +167,7 @@ func (dm *DataManager) fetchDatasetInternal(ctx context.Context, jobName, datase
// Check if dataset exists on NAS // Check if dataset exists on NAS
if !dm.nasServer.FileExists(nasPath) { if !dm.nasServer.FileExists(nasPath) {
return &errors.DataFetchError{ return &errtypes.DataFetchError{
Dataset: datasetName, Dataset: datasetName,
JobName: jobName, JobName: jobName,
Err: fmt.Errorf("dataset not found on NAS"), Err: fmt.Errorf("dataset not found on NAS"),
@ -384,6 +393,7 @@ func (dm *DataManager) ListDatasetsOnML() ([]DatasetInfo, error) {
return datasets, nil return datasets, nil
} }
// CleanupOldData removes old datasets based on age and size limits.
func (dm *DataManager) CleanupOldData() error { func (dm *DataManager) CleanupOldData() error {
logger := dm.logger.Job(dm.ctx, "data_manager", "") logger := dm.logger.Job(dm.ctx, "data_manager", "")
logger.Info("running data cleanup") logger.Info("running data cleanup")
@ -466,7 +476,7 @@ func (dm *DataManager) CleanupOldData() error {
return nil return nil
} }
// GetAvailableDiskSpace returns available disk space in bytes // GetAvailableDiskSpace returns available disk space in bytes.
func (dm *DataManager) GetAvailableDiskSpace() int64 { func (dm *DataManager) GetAvailableDiskSpace() int64 {
logger := dm.logger.Job(dm.ctx, "data_manager", "") logger := dm.logger.Job(dm.ctx, "data_manager", "")
@ -489,7 +499,7 @@ func (dm *DataManager) GetAvailableDiskSpace() int64 {
return freeKB * 1024 // Convert KB to bytes return freeKB * 1024 // Convert KB to bytes
} }
// GetDatasetInfo returns information about a dataset from NAS // GetDatasetInfo returns information about a dataset from NAS.
func (dm *DataManager) GetDatasetInfo(datasetName string) (*DatasetInfo, error) { func (dm *DataManager) GetDatasetInfo(datasetName string) (*DatasetInfo, error) {
// Check if dataset exists on NAS // Check if dataset exists on NAS
nasPath := filepath.Join(dm.config.NASDataDir, datasetName) nasPath := filepath.Join(dm.config.NASDataDir, datasetName)
@ -533,7 +543,7 @@ func (dm *DataManager) GetDatasetInfo(datasetName string) (*DatasetInfo, error)
}, nil }, nil
} }
// ValidateDatasetWithCleanup checks if dataset fits and runs cleanup if needed // ValidateDatasetWithCleanup checks if dataset fits and runs cleanup if needed.
func (dm *DataManager) ValidateDatasetWithCleanup(datasetName string) error { func (dm *DataManager) ValidateDatasetWithCleanup(datasetName string) error {
logger := dm.logger.Job(dm.ctx, "data_manager", "") logger := dm.logger.Job(dm.ctx, "data_manager", "")
@ -585,6 +595,7 @@ func (dm *DataManager) ValidateDatasetWithCleanup(datasetName string) error {
float64(availableSpace)/(1024*1024*1024)) float64(availableSpace)/(1024*1024*1024))
} }
// StartCleanupLoop starts the periodic cleanup loop.
func (dm *DataManager) StartCleanupLoop() { func (dm *DataManager) StartCleanupLoop() {
logger := dm.logger.Job(dm.ctx, "data_manager", "") logger := dm.logger.Job(dm.ctx, "data_manager", "")
ticker := time.NewTicker(time.Duration(dm.config.CleanupInterval) * time.Minute) ticker := time.NewTicker(time.Duration(dm.config.CleanupInterval) * time.Minute)
@ -632,7 +643,7 @@ func (dm *DataManager) Close() {
func main() { func main() {
// Parse authentication flags // Parse authentication flags
authFlags := auth.ParseAuthFlags() authFlags := auth.ParseAuthFlags()
if err := auth.ValidateAuthFlags(authFlags); err != nil { if err := auth.ValidateFlags(authFlags); err != nil {
log.Fatalf("Authentication flag error: %v", err) log.Fatalf("Authentication flag error: %v", err)
} }
@ -647,7 +658,8 @@ func main() {
// Parse command line args // Parse command line args
if len(os.Args) < 2 { if len(os.Args) < 2 {
fmt.Println("Usage:") fmt.Println("Usage:")
fmt.Println(" data_manager [--config configs/config-local.yaml] [--api-key <key>] fetch <job-name> <dataset> [dataset...]") fmt.Println(" data_manager [--config configs/config-local.yaml] [--api-key <key>] " +
"fetch <job-name> <dataset> [dataset...]")
fmt.Println(" data_manager [--config configs/config-local.yaml] [--api-key <key>] list") fmt.Println(" data_manager [--config configs/config-local.yaml] [--api-key <key>] list")
fmt.Println(" data_manager [--config configs/config-local.yaml] [--api-key <key>] cleanup") fmt.Println(" data_manager [--config configs/config-local.yaml] [--api-key <key>] cleanup")
fmt.Println(" data_manager [--config configs/config-local.yaml] [--api-key <key>] validate <dataset>") fmt.Println(" data_manager [--config configs/config-local.yaml] [--api-key <key>] validate <dataset>")
@ -701,7 +713,8 @@ func main() {
switch cmd { switch cmd {
case "fetch": case "fetch":
if len(os.Args) < 4 { if len(os.Args) < 4 {
log.Fatal("Usage: data_manager fetch <job-name> <dataset> [dataset...]") log.Printf("Usage: data_manager fetch <job-name> <dataset> [dataset...]")
return
} }
jobName := os.Args[2] jobName := os.Args[2]
datasets := os.Args[3:] datasets := os.Args[3:]
@ -717,7 +730,8 @@ func main() {
case "list": case "list":
datasets, err := dm.ListDatasetsOnML() datasets, err := dm.ListDatasetsOnML()
if err != nil { if err != nil {
log.Fatalf("Failed to list datasets: %v", err) log.Printf("Failed to list datasets: %v", err)
return
} }
fmt.Println("Datasets on ML server:") fmt.Println("Datasets on ML server:")
@ -736,19 +750,22 @@ func main() {
case "validate": case "validate":
if len(os.Args) < 3 { if len(os.Args) < 3 {
log.Fatal("Usage: data_manager validate <dataset>") log.Printf("Usage: data_manager validate <dataset>")
return
} }
dataset := os.Args[2] dataset := os.Args[2]
fmt.Printf("Validating dataset: %s\n", dataset) fmt.Printf("Validating dataset: %s\n", dataset)
if err := dm.ValidateDatasetWithCleanup(dataset); err != nil { if err := dm.ValidateDatasetWithCleanup(dataset); err != nil {
log.Fatalf("Validation failed: %v", err) log.Printf("Validation failed: %v", err)
return
} }
fmt.Printf("✅ Dataset %s can be downloaded\n", dataset) fmt.Printf("✅ Dataset %s can be downloaded\n", dataset)
case "cleanup": case "cleanup":
if err := dm.CleanupOldData(); err != nil { if err := dm.CleanupOldData(); err != nil {
log.Fatalf("Cleanup failed: %v", err) log.Printf("Cleanup failed: %v", err)
return
} }
case "daemon": case "daemon":
@ -770,6 +787,6 @@ func main() {
logger.Info("data manager shut down gracefully") logger.Info("data manager shut down gracefully")
default: default:
log.Fatalf("Unknown command: %s", cmd) log.Printf("Unknown command: %s", cmd)
} }
} }

View file

@ -0,0 +1,92 @@
package main
import (
"database/sql"
"fmt"
"log"
"os"
_ "github.com/mattn/go-sqlite3"
)
func main() {
if len(os.Args) < 2 {
fmt.Println("Usage: go run init_db.go <database_path>")
fmt.Println("Example: go run init_db.go /app/data/experiments/fetch_ml.db")
os.Exit(1)
}
dbPath := os.Args[1]
// Open database
db, err := sql.Open("sqlite3", dbPath)
if err != nil {
log.Fatalf("Failed to open database: %v", err)
}
defer db.Close()
// Create api_keys table if not exists
createTable := `
CREATE TABLE IF NOT EXISTS api_keys (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id TEXT NOT NULL UNIQUE,
key_hash TEXT NOT NULL UNIQUE,
admin BOOLEAN NOT NULL DEFAULT FALSE,
roles TEXT NOT NULL DEFAULT '[]',
permissions TEXT NOT NULL DEFAULT '{}',
created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
expires_at DATETIME,
revoked_at DATETIME,
CHECK (json_valid(roles)),
CHECK (json_valid(permissions))
);`
if _, err := db.Exec(createTable); err != nil {
log.Fatalf("Failed to create table: %v", err)
}
// Insert users
users := []struct {
userID string
keyHash string
admin bool
roles string
permissions string
}{
{
"admin_user",
"5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8",
true,
`["user", "admin"]`,
`{"read": true, "write": true, "delete": true}`,
},
{
"researcher1",
"ef92b778ba7a6c8f2150019a5678047b6a9a2b95cef8189518f9b35c54d2e3ae",
false,
`["user", "researcher"]`,
`{"read": true, "write": true, "delete": false}`,
},
{
"analyst1",
"a665a45920422f9d417e4867efdc4fb8a04a1f3fff1fa07e998e86f7f7a27ae3",
false,
`["user", "analyst"]`,
`{"read": true, "write": false, "delete": false}`,
},
}
for _, user := range users {
insert := `
INSERT OR REPLACE INTO api_keys (user_id, key_hash, admin, roles, permissions)
VALUES (?, ?, ?, ?, ?)`
if _, err := db.Exec(insert, user.userID, user.keyHash, user.admin, user.roles, user.permissions); err != nil {
log.Printf("Failed to insert user %s: %v", user.userID, err)
} else {
fmt.Printf("Successfully inserted user: %s\n", user.userID)
}
}
fmt.Println("Database initialization complete!")
}

View file

@ -0,0 +1,27 @@
-- Initialize multi-user database with API keys
-- First ensure the api_keys table exists
CREATE TABLE IF NOT EXISTS api_keys (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id TEXT NOT NULL UNIQUE,
key_hash TEXT NOT NULL UNIQUE,
admin BOOLEAN NOT NULL DEFAULT FALSE,
roles TEXT NOT NULL DEFAULT '[]',
permissions TEXT NOT NULL DEFAULT '{}',
created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
expires_at DATETIME,
revoked_at DATETIME,
CHECK (json_valid(roles)),
CHECK (json_valid(permissions))
);
-- Insert admin user with full permissions
INSERT OR REPLACE INTO api_keys (user_id, key_hash, admin, roles, permissions)
VALUES ('admin_user', '5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8', TRUE, '["user", "admin"]', '{"read": true, "write": true, "delete": true}');
-- Insert researcher with read/write permissions
INSERT OR REPLACE INTO api_keys (user_id, key_hash, admin, roles, permissions)
VALUES ('researcher1', 'ef92b778ba7a6c8f2150019a5678047b6a9a2b95cef8189518f9b35c54d2e3ae', FALSE, '["user", "researcher"]', '{"read": true, "write": true, "delete": false}');
-- Insert analyst with read-only permissions
INSERT OR REPLACE INTO api_keys (user_id, key_hash, admin, roles, permissions)
VALUES ('analyst1', 'a665a45920422f9d417e4867efdc4fb8a04a1f3fff1fa07e998e86f7f7a27ae3', FALSE, '["user", "analyst"]', '{"read": true, "write": false, "delete": false}');

View file

@ -1,3 +1,4 @@
// Package config provides TUI configuration management
package config package config
import ( import (
@ -70,15 +71,14 @@ func LoadCLIConfig(configPath string) (*CLIConfig, string, error) {
log.Printf("Warning: %v", err) log.Printf("Warning: %v", err)
} }
//nolint:gosec // G304: Config path is user-controlled but trusted
data, err := os.ReadFile(configPath) data, err := os.ReadFile(configPath)
if err != nil { if err != nil {
return nil, configPath, fmt.Errorf("failed to read CLI config: %w", err) return nil, configPath, fmt.Errorf("failed to read CLI config: %w", err)
} }
config := &CLIConfig{} config := &CLIConfig{}
if err := parseTOML(data, config); err != nil { parseTOML(data, config)
return nil, configPath, fmt.Errorf("failed to parse CLI config: %w", err)
}
if err := config.Validate(); err != nil { if err := config.Validate(); err != nil {
return nil, configPath, err return nil, configPath, err
@ -126,7 +126,7 @@ func LoadCLIConfig(configPath string) (*CLIConfig, string, error) {
} }
// parseTOML is a simple TOML parser for the CLI config format // parseTOML is a simple TOML parser for the CLI config format
func parseTOML(data []byte, config *CLIConfig) error { func parseTOML(data []byte, config *CLIConfig) {
lines := strings.Split(string(data), "\n") lines := strings.Split(string(data), "\n")
for _, line := range lines { for _, line := range lines {
@ -163,8 +163,6 @@ func parseTOML(data []byte, config *CLIConfig) error {
config.APIKey = value config.APIKey = value
} }
} }
return nil
} }
// ToTUIConfig converts CLI config to TUI config structure // ToTUIConfig converts CLI config to TUI config structure
@ -188,7 +186,7 @@ func (c *CLIConfig) ToTUIConfig() *Config {
} }
// Set up auth config with CLI API key // Set up auth config with CLI API key
tuiConfig.Auth = auth.AuthConfig{ tuiConfig.Auth = auth.Config{
Enabled: true, Enabled: true,
APIKeys: map[auth.Username]auth.APIKeyEntry{ APIKeys: map[auth.Username]auth.APIKeyEntry{
"cli_user": { "cli_user": {
@ -262,7 +260,7 @@ func (c *CLIConfig) AuthenticateWithServer() error {
} }
// Create temporary auth config for validation // Create temporary auth config for validation
authConfig := &auth.AuthConfig{ authConfig := &auth.Config{
Enabled: true, Enabled: true,
APIKeys: map[auth.Username]auth.APIKeyEntry{ APIKeys: map[auth.Username]auth.APIKeyEntry{
"temp": { "temp": {
@ -356,6 +354,7 @@ func migrateFromYAML(yamlPath, tomlPath string) (string, error) {
} }
// Read YAML config // Read YAML config
//nolint:gosec // G304: Config path is user-controlled but trusted
data, err := os.ReadFile(yamlPath) data, err := os.ReadFile(yamlPath)
if err != nil { if err != nil {
return "", fmt.Errorf("failed to read YAML config: %w", err) return "", fmt.Errorf("failed to read YAML config: %w", err)
@ -421,7 +420,7 @@ api_key = "%s"
) )
// Create directory if it doesn't exist // Create directory if it doesn't exist
if err := os.MkdirAll(filepath.Dir(tomlPath), 0755); err != nil { if err := os.MkdirAll(filepath.Dir(tomlPath), 0750); err != nil {
return "", fmt.Errorf("failed to create config directory: %w", err) return "", fmt.Errorf("failed to create config directory: %w", err)
} }
@ -433,8 +432,8 @@ api_key = "%s"
return tomlPath, nil return tomlPath, nil
} }
// ConfigExists checks if a CLI configuration file exists // Exists checks if a CLI configuration file exists
func ConfigExists(configPath string) bool { func Exists(configPath string) bool {
if configPath == "" { if configPath == "" {
home, err := os.UserHomeDir() home, err := os.UserHomeDir()
if err != nil { if err != nil {
@ -450,7 +449,7 @@ func ConfigExists(configPath string) bool {
// GenerateDefaultConfig creates a default TOML configuration file // GenerateDefaultConfig creates a default TOML configuration file
func GenerateDefaultConfig(configPath string) error { func GenerateDefaultConfig(configPath string) error {
// Create directory if it doesn't exist // Create directory if it doesn't exist
if err := os.MkdirAll(filepath.Dir(configPath), 0755); err != nil { if err := os.MkdirAll(filepath.Dir(configPath), 0750); err != nil {
return fmt.Errorf("failed to create config directory: %w", err) return fmt.Errorf("failed to create config directory: %w", err)
} }

View file

@ -1,194 +0,0 @@
package config
import (
"testing"
)
func TestCLIConfig_CheckPermission(t *testing.T) {
tests := []struct {
name string
config *CLIConfig
permission string
want bool
}{
{
name: "Admin has all permissions",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "admin",
Admin: true,
},
},
permission: "any:permission",
want: true,
},
{
name: "User with explicit permission",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "user",
Admin: false,
Permissions: map[string]bool{"jobs:create": true},
},
},
permission: "jobs:create",
want: true,
},
{
name: "User without permission",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "user",
Admin: false,
Permissions: map[string]bool{"jobs:read": true},
},
},
permission: "jobs:create",
want: false,
},
{
name: "No current user",
config: &CLIConfig{
CurrentUser: nil,
},
permission: "jobs:create",
want: false,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := tt.config.CheckPermission(tt.permission)
if got != tt.want {
t.Errorf("CheckPermission() = %v, want %v", got, tt.want)
}
})
}
}
func TestCLIConfig_CanViewJob(t *testing.T) {
tests := []struct {
name string
config *CLIConfig
jobUserID string
want bool
}{
{
name: "Admin can view any job",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "admin",
Admin: true,
},
},
jobUserID: "other_user",
want: true,
},
{
name: "User can view own job",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "user1",
Admin: false,
},
},
jobUserID: "user1",
want: true,
},
{
name: "User cannot view other's job",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "user1",
Admin: false,
},
},
jobUserID: "user2",
want: false,
},
{
name: "No current user cannot view",
config: &CLIConfig{
CurrentUser: nil,
},
jobUserID: "user1",
want: false,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := tt.config.CanViewJob(tt.jobUserID)
if got != tt.want {
t.Errorf("CanViewJob() = %v, want %v", got, tt.want)
}
})
}
}
func TestCLIConfig_CanModifyJob(t *testing.T) {
tests := []struct {
name string
config *CLIConfig
jobUserID string
want bool
}{
{
name: "Admin can modify any job",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "admin",
Admin: true,
Permissions: map[string]bool{"jobs:update": true},
},
},
jobUserID: "other_user",
want: true,
},
{
name: "User with permission can modify own job",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "user1",
Admin: false,
Permissions: map[string]bool{"jobs:update": true},
},
},
jobUserID: "user1",
want: true,
},
{
name: "User without permission cannot modify",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "user1",
Admin: false,
Permissions: map[string]bool{"jobs:read": true},
},
},
jobUserID: "user1",
want: false,
},
{
name: "User cannot modify other's job",
config: &CLIConfig{
CurrentUser: &UserContext{
Name: "user1",
Admin: false,
Permissions: map[string]bool{"jobs:update": true},
},
},
jobUserID: "user2",
want: false,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := tt.config.CanModifyJob(tt.jobUserID)
if got != tt.want {
t.Errorf("CanModifyJob() = %v, want %v", got, tt.want)
}
})
}
}

View file

@ -25,7 +25,7 @@ type Config struct {
KnownHosts string `toml:"known_hosts"` KnownHosts string `toml:"known_hosts"`
// Authentication // Authentication
Auth auth.AuthConfig `toml:"auth"` Auth auth.Config `toml:"auth"`
// Podman settings // Podman settings
PodmanImage string `toml:"podman_image"` PodmanImage string `toml:"podman_image"`
@ -34,7 +34,9 @@ type Config struct {
GPUAccess bool `toml:"gpu_access"` GPUAccess bool `toml:"gpu_access"`
} }
// LoadConfig loads configuration from a TOML file
func LoadConfig(path string) (*Config, error) { func LoadConfig(path string) (*Config, error) {
//nolint:gosec // G304: Config path is user-controlled but trusted
data, err := os.ReadFile(path) data, err := os.ReadFile(path)
if err != nil { if err != nil {
return nil, err return nil, err
@ -132,10 +134,17 @@ func (c *Config) Validate() error {
return nil return nil
} }
func (c *Config) PendingPath() string { return filepath.Join(c.BasePath, "pending") } // PendingPath returns the path for pending experiments
func (c *Config) RunningPath() string { return filepath.Join(c.BasePath, "running") } func (c *Config) PendingPath() string { return filepath.Join(c.BasePath, "pending") }
// RunningPath returns the path for running experiments
func (c *Config) RunningPath() string { return filepath.Join(c.BasePath, "running") }
// FinishedPath returns the path for finished experiments
func (c *Config) FinishedPath() string { return filepath.Join(c.BasePath, "finished") } func (c *Config) FinishedPath() string { return filepath.Join(c.BasePath, "finished") }
func (c *Config) FailedPath() string { return filepath.Join(c.BasePath, "failed") }
// FailedPath returns the path for failed experiments
func (c *Config) FailedPath() string { return filepath.Join(c.BasePath, "failed") }
// parseInt parses a string to integer // parseInt parses a string to integer
func parseInt(s string) (int, error) { func parseInt(s string) (int, error) {

View file

@ -1,3 +1,4 @@
// Package controller provides TUI command handlers
package controller package controller
import ( import (
@ -10,22 +11,38 @@ import (
"github.com/jfraeys/fetch_ml/cmd/tui/internal/model" "github.com/jfraeys/fetch_ml/cmd/tui/internal/model"
) )
// Message types for async operations // JobsLoadedMsg contains loaded jobs from the queue
type ( type JobsLoadedMsg []model.Job
JobsLoadedMsg []model.Job
TasksLoadedMsg []*model.Task // TasksLoadedMsg contains loaded tasks from the queue
GpuLoadedMsg string type TasksLoadedMsg []*model.Task
ContainerLoadedMsg string
LogLoadedMsg string // GpuLoadedMsg contains GPU status information
QueueLoadedMsg string type GpuLoadedMsg string
SettingsContentMsg string
SettingsUpdateMsg struct{} // ContainerLoadedMsg contains container status information
StatusMsg struct { type ContainerLoadedMsg string
Text string
Level string // LogLoadedMsg contains log content
} type LogLoadedMsg string
TickMsg time.Time
) // QueueLoadedMsg contains queue status information
type QueueLoadedMsg string
// SettingsContentMsg contains settings content
type SettingsContentMsg string
// SettingsUpdateMsg indicates settings should be updated
type SettingsUpdateMsg struct{}
// StatusMsg contains status text and level
type StatusMsg struct {
Text string
Level string
}
// TickMsg represents a timer tick
type TickMsg time.Time
// Command factories for loading data // Command factories for loading data
@ -50,7 +67,12 @@ func (c *Controller) loadJobs() tea.Cmd {
var jobs []model.Job var jobs []model.Job
statusChan := make(chan []model.Job, 4) statusChan := make(chan []model.Job, 4)
for _, status := range []model.JobStatus{model.StatusPending, model.StatusRunning, model.StatusFinished, model.StatusFailed} { for _, status := range []model.JobStatus{
model.StatusPending,
model.StatusRunning,
model.StatusFinished,
model.StatusFailed,
} {
go func(s model.JobStatus) { go func(s model.JobStatus) {
path := c.getPathForStatus(s) path := c.getPathForStatus(s)
names := c.server.ListDir(path) names := c.server.ListDir(path)
@ -112,7 +134,8 @@ func (c *Controller) loadGPU() tea.Cmd {
resultChan := make(chan gpuResult, 1) resultChan := make(chan gpuResult, 1)
go func() { go func() {
cmd := "nvidia-smi --query-gpu=index,name,utilization.gpu,memory.used,memory.total,temperature.gpu --format=csv,noheader,nounits" cmd := "nvidia-smi --query-gpu=index,name,utilization.gpu," +
"memory.used,memory.total,temperature.gpu --format=csv,noheader,nounits"
out, err := c.server.Exec(cmd) out, err := c.server.Exec(cmd)
if err == nil && strings.TrimSpace(out) != "" { if err == nil && strings.TrimSpace(out) != "" {
var formatted strings.Builder var formatted strings.Builder
@ -137,7 +160,10 @@ func (c *Controller) loadGPU() tea.Cmd {
out, err = c.server.Exec(cmd) out, err = c.server.Exec(cmd)
if err != nil { if err != nil {
c.logger.Warn("GPU info unavailable", "error", err) c.logger.Warn("GPU info unavailable", "error", err)
resultChan <- gpuResult{content: "⚠️ GPU info unavailable\n\nRun on a system with nvidia-smi or macOS GPU", err: err} resultChan <- gpuResult{
content: "GPU info unavailable\n\nRun on a system with nvidia-smi or macOS GPU",
err: err,
}
return return
} }
@ -232,43 +258,6 @@ func (c *Controller) loadContainer() tea.Cmd {
} }
} }
func (c *Controller) loadLog(jobName string) tea.Cmd {
return func() tea.Msg {
resultChan := make(chan string, 1)
go func() {
statusChan := make(chan string, 3)
for _, status := range []model.JobStatus{model.StatusRunning, model.StatusFinished, model.StatusFailed} {
go func(s model.JobStatus) {
logPath := filepath.Join(c.getPathForStatus(s), jobName, "output.log")
if c.server.RemoteExists(logPath) {
content := c.server.TailFile(logPath, 200)
statusChan <- content
} else {
statusChan <- ""
}
}(status)
}
for range 3 {
result := <-statusChan
if result != "" {
var formatted strings.Builder
formatted.WriteString(fmt.Sprintf("📋 Log: %s\n", jobName))
formatted.WriteString(strings.Repeat("═", 60) + "\n\n")
formatted.WriteString(result)
resultChan <- formatted.String()
return
}
}
resultChan <- fmt.Sprintf("⚠️ No log found for %s\n\nJob may not have started yet.", jobName)
}()
return LogLoadedMsg(<-resultChan)
}
}
func (c *Controller) queueJob(jobName string, args string) tea.Cmd { func (c *Controller) queueJob(jobName string, args string) tea.Cmd {
return func() tea.Msg { return func() tea.Msg {
resultChan := make(chan StatusMsg, 1) resultChan := make(chan StatusMsg, 1)

View file

@ -21,6 +21,258 @@ type Controller struct {
logger *logging.Logger logger *logging.Logger
} }
func (c *Controller) handleKeyMsg(msg tea.KeyMsg, m model.State) (model.State, tea.Cmd) {
if m.InputMode {
return c.handleInputModeKey(msg, m)
}
if m.ActiveView == model.ViewModeSettings {
return c.handleSettingsKeys(msg, m)
}
if key.Matches(msg, m.Keys.Quit) {
return m, tea.Quit
}
cmds := c.handleGlobalKeys(msg, &m)
return c.finalizeUpdate(msg, m, cmds...)
}
func (c *Controller) handleInputModeKey(msg tea.KeyMsg, m model.State) (model.State, tea.Cmd) {
switch msg.String() {
case "enter":
args := m.Input.Value()
m.Input.SetValue("")
m.InputMode = false
if job := getSelectedJob(m); job != nil {
return m, c.queueJob(job.Name, args)
}
return m, nil
case "esc":
m.InputMode = false
m.Input.SetValue("")
return m, nil
default:
var cmd tea.Cmd
m.Input, cmd = m.Input.Update(msg)
return m, cmd
}
}
func (c *Controller) handleSettingsKeys(msg tea.KeyMsg, m model.State) (model.State, tea.Cmd) {
cmds := c.navigateSettings(msg, &m)
if m.SettingsIndex == 1 {
var inputCmd tea.Cmd
m.APIKeyInput, inputCmd = m.APIKeyInput.Update(msg)
cmds = append(cmds, inputCmd, c.updateSettingsContent(m))
}
return m, tea.Batch(cmds...)
}
func (c *Controller) navigateSettings(msg tea.KeyMsg, m *model.State) []tea.Cmd {
var cmds []tea.Cmd
switch msg.String() {
case "up", "k":
if m.SettingsIndex > 1 {
m.SettingsIndex--
cmds = append(cmds, c.updateSettingsContent(*m))
c.toggleAPIKeyInputFocus(m)
}
case "down", "j":
if m.SettingsIndex < 2 {
m.SettingsIndex++
cmds = append(cmds, c.updateSettingsContent(*m))
c.toggleAPIKeyInputFocus(m)
}
case "enter":
if cmd := c.handleSettingsAction(m); cmd != nil {
cmds = append(cmds, cmd)
}
case "esc":
m.ActiveView = model.ViewModeJobs
m.APIKeyInput.Blur()
}
return cmds
}
func (c *Controller) toggleAPIKeyInputFocus(m *model.State) {
if m.SettingsIndex == 1 {
m.APIKeyInput.Focus()
} else {
m.APIKeyInput.Blur()
}
}
func (c *Controller) handleGlobalKeys(msg tea.KeyMsg, m *model.State) []tea.Cmd {
var cmds []tea.Cmd
switch {
case key.Matches(msg, m.Keys.Refresh):
m.IsLoading = true
m.Status = "Refreshing all data..."
m.LastRefresh = time.Now()
cmds = append(cmds, c.loadAllData())
case key.Matches(msg, m.Keys.RefreshGPU):
m.Status = "Refreshing GPU status..."
cmds = append(cmds, c.loadGPU())
case key.Matches(msg, m.Keys.Trigger):
if job := getSelectedJob(*m); job != nil {
cmds = append(cmds, c.queueJob(job.Name, ""))
}
case key.Matches(msg, m.Keys.TriggerArgs):
if job := getSelectedJob(*m); job != nil {
m.InputMode = true
m.Input.Focus()
}
case key.Matches(msg, m.Keys.ViewQueue):
m.ActiveView = model.ViewModeQueue
cmds = append(cmds, c.showQueue(*m))
case key.Matches(msg, m.Keys.ViewContainer):
m.ActiveView = model.ViewModeContainer
cmds = append(cmds, c.loadContainer())
case key.Matches(msg, m.Keys.ViewGPU):
m.ActiveView = model.ViewModeGPU
cmds = append(cmds, c.loadGPU())
case key.Matches(msg, m.Keys.ViewJobs):
m.ActiveView = model.ViewModeJobs
case key.Matches(msg, m.Keys.ViewSettings):
m.ActiveView = model.ViewModeSettings
m.SettingsIndex = 1
m.APIKeyInput.Focus()
cmds = append(cmds, c.updateSettingsContent(*m))
case key.Matches(msg, m.Keys.ViewExperiments):
m.ActiveView = model.ViewModeExperiments
cmds = append(cmds, c.loadExperiments())
case key.Matches(msg, m.Keys.Cancel):
if job := getSelectedJob(*m); job != nil && job.TaskID != "" {
cmds = append(cmds, c.cancelTask(job.TaskID))
}
case key.Matches(msg, m.Keys.Delete):
if job := getSelectedJob(*m); job != nil && job.Status == model.StatusPending {
cmds = append(cmds, c.deleteJob(job.Name))
}
case key.Matches(msg, m.Keys.MarkFailed):
if job := getSelectedJob(*m); job != nil && job.Status == model.StatusRunning {
cmds = append(cmds, c.markFailed(job.Name))
}
case key.Matches(msg, m.Keys.Help):
m.ShowHelp = !m.ShowHelp
}
return cmds
}
func (c *Controller) applyWindowSize(msg tea.WindowSizeMsg, m model.State) model.State {
m.Width = msg.Width
m.Height = msg.Height
h, v := 4, 2
listHeight := msg.Height - v - 8
m.JobList.SetSize(msg.Width/3-h, listHeight)
panelWidth := msg.Width*2/3 - h - 2
panelHeight := (listHeight - 6) / 3
m.GpuView.Width = panelWidth
m.GpuView.Height = panelHeight
m.ContainerView.Width = panelWidth
m.ContainerView.Height = panelHeight
m.QueueView.Width = panelWidth
m.QueueView.Height = listHeight - 4
m.SettingsView.Width = panelWidth
m.SettingsView.Height = listHeight - 4
m.ExperimentsView.Width = panelWidth
m.ExperimentsView.Height = listHeight - 4
return m
}
func (c *Controller) handleJobsLoadedMsg(msg JobsLoadedMsg, m model.State) (model.State, tea.Cmd) {
m.Jobs = []model.Job(msg)
calculateJobStats(&m)
items := make([]list.Item, len(m.Jobs))
for i, job := range m.Jobs {
items[i] = job
}
setItemsCmd := m.JobList.SetItems(items)
m.Status = formatStatus(m)
m.IsLoading = false
return c.finalizeUpdate(msg, m, setItemsCmd)
}
func (c *Controller) handleTasksLoadedMsg(msg TasksLoadedMsg, m model.State) (model.State, tea.Cmd) {
m.QueuedTasks = []*model.Task(msg)
m.Status = formatStatus(m)
return c.finalizeUpdate(msg, m)
}
func (c *Controller) handleGPUContent(msg GpuLoadedMsg, m model.State) (model.State, tea.Cmd) {
m.GpuView.SetContent(string(msg))
m.GpuView.GotoTop()
return c.finalizeUpdate(msg, m)
}
func (c *Controller) handleContainerContent(msg ContainerLoadedMsg, m model.State) (model.State, tea.Cmd) {
m.ContainerView.SetContent(string(msg))
m.ContainerView.GotoTop()
return c.finalizeUpdate(msg, m)
}
func (c *Controller) handleQueueContent(msg QueueLoadedMsg, m model.State) (model.State, tea.Cmd) {
m.QueueView.SetContent(string(msg))
m.QueueView.GotoTop()
return c.finalizeUpdate(msg, m)
}
func (c *Controller) handleStatusMsg(msg StatusMsg, m model.State) (model.State, tea.Cmd) {
if msg.Level == "error" {
m.ErrorMsg = msg.Text
m.Status = "Error occurred - check status"
} else {
m.ErrorMsg = ""
m.Status = msg.Text
}
return c.finalizeUpdate(msg, m)
}
func (c *Controller) handleTickMsg(msg TickMsg, m model.State) (model.State, tea.Cmd) {
var cmds []tea.Cmd
if time.Since(m.LastRefresh) > 10*time.Second && !m.IsLoading {
m.LastRefresh = time.Now()
cmds = append(cmds, c.loadAllData())
}
cmds = append(cmds, tickCmd())
return c.finalizeUpdate(msg, m, cmds...)
}
func (c *Controller) finalizeUpdate(msg tea.Msg, m model.State, extraCmds ...tea.Cmd) (model.State, tea.Cmd) {
cmds := append([]tea.Cmd{}, extraCmds...)
var cmd tea.Cmd
m.JobList, cmd = m.JobList.Update(msg)
cmds = append(cmds, cmd)
m.GpuView, cmd = m.GpuView.Update(msg)
cmds = append(cmds, cmd)
m.ContainerView, cmd = m.ContainerView.Update(msg)
cmds = append(cmds, cmd)
m.QueueView, cmd = m.QueueView.Update(msg)
cmds = append(cmds, cmd)
m.ExperimentsView, cmd = m.ExperimentsView.Update(msg)
cmds = append(cmds, cmd)
var spinCmd tea.Cmd
m.Spinner, spinCmd = m.Spinner.Update(msg)
cmds = append(cmds, spinCmd)
return m, tea.Batch(cmds...)
}
// New creates a new Controller instance // New creates a new Controller instance
func New(cfg *config.Config, srv *services.MLServer, tq *services.TaskQueue, logger *logging.Logger) *Controller { func New(cfg *config.Config, srv *services.MLServer, tq *services.TaskQueue, logger *logging.Logger) *Controller {
return &Controller{ return &Controller{
@ -42,233 +294,38 @@ func (c *Controller) Init() tea.Cmd {
// Update handles all messages and updates the state // Update handles all messages and updates the state
func (c *Controller) Update(msg tea.Msg, m model.State) (model.State, tea.Cmd) { func (c *Controller) Update(msg tea.Msg, m model.State) (model.State, tea.Cmd) {
var cmds []tea.Cmd switch typed := msg.(type) {
switch msg := msg.(type) {
case tea.KeyMsg: case tea.KeyMsg:
// Handle input mode (for queuing jobs with args) return c.handleKeyMsg(typed, m)
if m.InputMode {
switch msg.String() {
case "enter":
args := m.Input.Value()
m.Input.SetValue("")
m.InputMode = false
if job := getSelectedJob(m); job != nil {
cmds = append(cmds, c.queueJob(job.Name, args))
}
return m, tea.Batch(cmds...)
case "esc":
m.InputMode = false
m.Input.SetValue("")
return m, nil
}
var cmd tea.Cmd
m.Input, cmd = m.Input.Update(msg)
return m, cmd
}
// Handle settings-specific keys
if m.ActiveView == model.ViewModeSettings {
switch msg.String() {
case "up", "k":
if m.SettingsIndex > 1 { // Skip index 0 (Status)
m.SettingsIndex--
cmds = append(cmds, c.updateSettingsContent(m))
if m.SettingsIndex == 1 {
m.ApiKeyInput.Focus()
} else {
m.ApiKeyInput.Blur()
}
}
case "down", "j":
if m.SettingsIndex < 2 {
m.SettingsIndex++
cmds = append(cmds, c.updateSettingsContent(m))
if m.SettingsIndex == 1 {
m.ApiKeyInput.Focus()
} else {
m.ApiKeyInput.Blur()
}
}
case "enter":
if cmd := c.handleSettingsAction(&m); cmd != nil {
cmds = append(cmds, cmd)
}
case "esc":
m.ActiveView = model.ViewModeJobs
m.ApiKeyInput.Blur()
}
if m.SettingsIndex == 1 { // API Key input field
var cmd tea.Cmd
m.ApiKeyInput, cmd = m.ApiKeyInput.Update(msg)
cmds = append(cmds, cmd)
// Force update settings view to show typed characters immediately
cmds = append(cmds, c.updateSettingsContent(m))
}
return m, tea.Batch(cmds...)
}
// Handle global keys
switch {
case key.Matches(msg, m.Keys.Quit):
return m, tea.Quit
case key.Matches(msg, m.Keys.Refresh):
m.IsLoading = true
m.Status = "Refreshing all data..."
m.LastRefresh = time.Now()
cmds = append(cmds, c.loadAllData())
case key.Matches(msg, m.Keys.RefreshGPU):
m.Status = "Refreshing GPU status..."
cmds = append(cmds, c.loadGPU())
case key.Matches(msg, m.Keys.Trigger):
if job := getSelectedJob(m); job != nil {
cmds = append(cmds, c.queueJob(job.Name, ""))
}
case key.Matches(msg, m.Keys.TriggerArgs):
if job := getSelectedJob(m); job != nil {
m.InputMode = true
m.Input.Focus()
}
case key.Matches(msg, m.Keys.ViewQueue):
m.ActiveView = model.ViewModeQueue
cmds = append(cmds, c.showQueue(m))
case key.Matches(msg, m.Keys.ViewContainer):
m.ActiveView = model.ViewModeContainer
cmds = append(cmds, c.loadContainer())
case key.Matches(msg, m.Keys.ViewGPU):
m.ActiveView = model.ViewModeGPU
cmds = append(cmds, c.loadGPU())
case key.Matches(msg, m.Keys.ViewJobs):
m.ActiveView = model.ViewModeJobs
case key.Matches(msg, m.Keys.ViewSettings):
m.ActiveView = model.ViewModeSettings
m.SettingsIndex = 1 // Start at Input field, skip Status
m.ApiKeyInput.Focus()
cmds = append(cmds, c.updateSettingsContent(m))
case key.Matches(msg, m.Keys.ViewExperiments):
m.ActiveView = model.ViewModeExperiments
cmds = append(cmds, c.loadExperiments())
case key.Matches(msg, m.Keys.Cancel):
if job := getSelectedJob(m); job != nil && job.TaskID != "" {
cmds = append(cmds, c.cancelTask(job.TaskID))
}
case key.Matches(msg, m.Keys.Delete):
if job := getSelectedJob(m); job != nil && job.Status == model.StatusPending {
cmds = append(cmds, c.deleteJob(job.Name))
}
case key.Matches(msg, m.Keys.MarkFailed):
if job := getSelectedJob(m); job != nil && job.Status == model.StatusRunning {
cmds = append(cmds, c.markFailed(job.Name))
}
case key.Matches(msg, m.Keys.Help):
m.ShowHelp = !m.ShowHelp
}
case tea.WindowSizeMsg: case tea.WindowSizeMsg:
m.Width = msg.Width updated := c.applyWindowSize(typed, m)
m.Height = msg.Height return c.finalizeUpdate(msg, updated)
// Update component sizes
h, v := 4, 2 // docStyle.GetFrameSize() approx
listHeight := msg.Height - v - 8
m.JobList.SetSize(msg.Width/3-h, listHeight)
panelWidth := msg.Width*2/3 - h - 2
panelHeight := (listHeight - 6) / 3
m.GpuView.Width = panelWidth
m.GpuView.Height = panelHeight
m.ContainerView.Width = panelWidth
m.ContainerView.Height = panelHeight
m.QueueView.Width = panelWidth
m.QueueView.Height = listHeight - 4
m.SettingsView.Width = panelWidth
m.SettingsView.Height = listHeight - 4
m.ExperimentsView.Width = panelWidth
m.ExperimentsView.Height = listHeight - 4
case JobsLoadedMsg: case JobsLoadedMsg:
m.Jobs = []model.Job(msg) return c.handleJobsLoadedMsg(typed, m)
calculateJobStats(&m)
items := make([]list.Item, len(m.Jobs))
for i, job := range m.Jobs {
items[i] = job
}
cmds = append(cmds, m.JobList.SetItems(items))
m.Status = formatStatus(m)
m.IsLoading = false
case TasksLoadedMsg: case TasksLoadedMsg:
m.QueuedTasks = []*model.Task(msg) return c.handleTasksLoadedMsg(typed, m)
m.Status = formatStatus(m)
case GpuLoadedMsg: case GpuLoadedMsg:
m.GpuView.SetContent(string(msg)) return c.handleGPUContent(typed, m)
m.GpuView.GotoTop()
case ContainerLoadedMsg: case ContainerLoadedMsg:
m.ContainerView.SetContent(string(msg)) return c.handleContainerContent(typed, m)
m.ContainerView.GotoTop()
case QueueLoadedMsg: case QueueLoadedMsg:
m.QueueView.SetContent(string(msg)) return c.handleQueueContent(typed, m)
m.QueueView.GotoTop()
case SettingsContentMsg: case SettingsContentMsg:
m.SettingsView.SetContent(string(msg)) m.SettingsView.SetContent(string(typed))
return c.finalizeUpdate(msg, m)
case ExperimentsLoadedMsg: case ExperimentsLoadedMsg:
m.ExperimentsView.SetContent(string(msg)) m.ExperimentsView.SetContent(string(typed))
m.ExperimentsView.GotoTop() m.ExperimentsView.GotoTop()
return c.finalizeUpdate(msg, m)
case SettingsUpdateMsg: case SettingsUpdateMsg:
// Settings content was updated, just trigger a re-render return c.finalizeUpdate(msg, m)
case StatusMsg: case StatusMsg:
if msg.Level == "error" { return c.handleStatusMsg(typed, m)
m.ErrorMsg = msg.Text
m.Status = "Error occurred - check status"
} else {
m.ErrorMsg = ""
m.Status = msg.Text
}
case TickMsg: case TickMsg:
var spinCmd tea.Cmd return c.handleTickMsg(typed, m)
m.Spinner, spinCmd = m.Spinner.Update(msg)
cmds = append(cmds, spinCmd)
// Auto-refresh every 10 seconds
if time.Since(m.LastRefresh) > 10*time.Second && !m.IsLoading {
m.LastRefresh = time.Now()
cmds = append(cmds, c.loadAllData())
}
cmds = append(cmds, tickCmd())
default: default:
var spinCmd tea.Cmd return c.finalizeUpdate(msg, m)
m.Spinner, spinCmd = m.Spinner.Update(msg)
cmds = append(cmds, spinCmd)
} }
// Update all bubble components
var cmd tea.Cmd
m.JobList, cmd = m.JobList.Update(msg)
cmds = append(cmds, cmd)
m.GpuView, cmd = m.GpuView.Update(msg)
cmds = append(cmds, cmd)
m.ContainerView, cmd = m.ContainerView.Update(msg)
cmds = append(cmds, cmd)
m.QueueView, cmd = m.QueueView.Update(msg)
cmds = append(cmds, cmd)
m.ExperimentsView, cmd = m.ExperimentsView.Update(msg)
cmds = append(cmds, cmd)
return m, tea.Batch(cmds...)
} }
// ExperimentsLoadedMsg is sent when experiments are loaded // ExperimentsLoadedMsg is sent when experiments are loaded

View file

@ -19,6 +19,8 @@ func (c *Controller) getPathForStatus(status model.JobStatus) string {
return c.config.FinishedPath() return c.config.FinishedPath()
case model.StatusFailed: case model.StatusFailed:
return c.config.FailedPath() return c.config.FailedPath()
case model.StatusQueued:
return c.config.PendingPath() // Queued jobs are in pending directory
} }
return "" return ""
} }

View file

@ -46,7 +46,7 @@ func (c *Controller) updateSettingsContent(m model.State) tea.Cmd {
inputContent := fmt.Sprintf("%s Enter New API Key\n%s", inputContent := fmt.Sprintf("%s Enter New API Key\n%s",
getSettingsIndicator(m, 1), getSettingsIndicator(m, 1),
m.ApiKeyInput.View()) m.APIKeyInput.View())
content.WriteString(inputStyle.Render(inputContent)) content.WriteString(inputStyle.Render(inputContent))
content.WriteString("\n") content.WriteString("\n")
@ -72,7 +72,7 @@ func (c *Controller) updateSettingsContent(m model.State) tea.Cmd {
Foreground(lipgloss.AdaptiveColor{Light: "#666", Dark: "#999"}). Foreground(lipgloss.AdaptiveColor{Light: "#666", Dark: "#999"}).
Italic(true) Italic(true)
keyContent := fmt.Sprintf("Current API Key: %s", maskAPIKey(m.ApiKey)) keyContent := fmt.Sprintf("Current API Key: %s", maskAPIKey(m.APIKey))
content.WriteString(keyStyle.Render(keyContent)) content.WriteString(keyStyle.Render(keyContent))
return func() tea.Msg { return SettingsContentMsg(content.String()) } return func() tea.Msg { return SettingsContentMsg(content.String()) }
@ -85,14 +85,15 @@ func (c *Controller) handleSettingsAction(m *model.State) tea.Cmd {
case 1: // Enter New API Key - do nothing, Enter key disabled case 1: // Enter New API Key - do nothing, Enter key disabled
return nil return nil
case 2: // Save Configuration case 2: // Save Configuration
if m.ApiKeyInput.Value() != "" { switch {
m.ApiKey = m.ApiKeyInput.Value() case m.APIKeyInput.Value() != "":
m.ApiKeyInput.SetValue("") m.APIKey = m.APIKeyInput.Value()
m.APIKeyInput.SetValue("")
m.Status = "Configuration saved (in-memory only)" m.Status = "Configuration saved (in-memory only)"
return c.updateSettingsContent(*m) return c.updateSettingsContent(*m)
} else if m.ApiKey != "" { case m.APIKey != "":
m.Status = "Configuration saved (in-memory only)" m.Status = "Configuration saved (in-memory only)"
} else { default:
m.ErrorMsg = "No API key to save" m.ErrorMsg = "No API key to save"
} }
} }
@ -109,8 +110,8 @@ func getSettingsIndicator(m model.State, index int) string {
} }
func getAPIKeyStatus(m model.State) string { func getAPIKeyStatus(m model.State) string {
if m.ApiKey != "" { if m.APIKey != "" {
return "✓ API Key is set\n" + maskAPIKey(m.ApiKey) return "✓ API Key is set\n" + maskAPIKey(m.APIKey)
} }
return "⚠ No API Key configured" return "⚠ No API Key configured"
} }

View file

@ -1,3 +1,4 @@
// Package model provides TUI data structures and state management
package model package model
import ( import (
@ -12,28 +13,33 @@ import (
"github.com/charmbracelet/lipgloss" "github.com/charmbracelet/lipgloss"
) )
// ViewMode represents the current view mode in the TUI
type ViewMode int type ViewMode int
// ViewMode constants represent different TUI views
const ( const (
ViewModeJobs ViewMode = iota ViewModeJobs ViewMode = iota // Jobs view mode
ViewModeGPU ViewModeGPU // GPU status view mode
ViewModeQueue ViewModeQueue // Queue status view mode
ViewModeContainer ViewModeContainer // Container status view mode
ViewModeSettings ViewModeSettings // Settings view mode
ViewModeDatasets ViewModeDatasets // Datasets view mode
ViewModeExperiments ViewModeExperiments // Experiments view mode
) )
// JobStatus represents the status of a job
type JobStatus string type JobStatus string
// JobStatus constants represent different job states
const ( const (
StatusPending JobStatus = "pending" StatusPending JobStatus = "pending" // Job is pending
StatusQueued JobStatus = "queued" StatusQueued JobStatus = "queued" // Job is queued
StatusRunning JobStatus = "running" StatusRunning JobStatus = "running" // Job is running
StatusFinished JobStatus = "finished" StatusFinished JobStatus = "finished" // Job is finished
StatusFailed JobStatus = "failed" StatusFailed JobStatus = "failed" // Job is failed
) )
// Job represents a job in the TUI
type Job struct { type Job struct {
Name string Name string
Status JobStatus Status JobStatus
@ -41,7 +47,10 @@ type Job struct {
Priority int64 Priority int64
} }
// Title returns the job title for display
func (j Job) Title() string { return j.Name } func (j Job) Title() string { return j.Name }
// Description returns a formatted description with status icon
func (j Job) Description() string { func (j Job) Description() string {
icon := map[JobStatus]string{ icon := map[JobStatus]string{
StatusPending: "⏸", StatusPending: "⏸",
@ -56,8 +65,11 @@ func (j Job) Description() string {
} }
return fmt.Sprintf("%s %s%s", icon, j.Status, pri) return fmt.Sprintf("%s %s%s", icon, j.Status, pri)
} }
// FilterValue returns the value used for filtering
func (j Job) FilterValue() string { return j.Name } func (j Job) FilterValue() string { return j.Name }
// Task represents a task in the TUI
type Task struct { type Task struct {
ID string `json:"id"` ID string `json:"id"`
JobName string `json:"job_name"` JobName string `json:"job_name"`
@ -71,6 +83,7 @@ type Task struct {
Metadata map[string]string `json:"metadata,omitempty"` Metadata map[string]string `json:"metadata,omitempty"`
} }
// DatasetInfo represents dataset information in the TUI
type DatasetInfo struct { type DatasetInfo struct {
Name string `json:"name"` Name string `json:"name"`
SizeBytes int64 `json:"size_bytes"` SizeBytes int64 `json:"size_bytes"`
@ -91,7 +104,7 @@ type State struct {
DatasetView viewport.Model DatasetView viewport.Model
ExperimentsView viewport.Model ExperimentsView viewport.Model
Input textinput.Model Input textinput.Model
ApiKeyInput textinput.Model APIKeyInput textinput.Model
Status string Status string
ErrorMsg string ErrorMsg string
InputMode bool InputMode bool
@ -103,11 +116,12 @@ type State struct {
LastRefresh time.Time LastRefresh time.Time
IsLoading bool IsLoading bool
JobStats map[JobStatus]int JobStats map[JobStatus]int
ApiKey string APIKey string
SettingsIndex int SettingsIndex int
Keys KeyMap Keys KeyMap
} }
// KeyMap defines key bindings for the TUI
type KeyMap struct { type KeyMap struct {
Refresh key.Binding Refresh key.Binding
Trigger key.Binding Trigger key.Binding
@ -127,6 +141,7 @@ type KeyMap struct {
Quit key.Binding Quit key.Binding
} }
// Keys contains the default key bindings for the TUI
var Keys = KeyMap{ var Keys = KeyMap{
Refresh: key.NewBinding(key.WithKeys("r"), key.WithHelp("r", "refresh all")), Refresh: key.NewBinding(key.WithKeys("r"), key.WithHelp("r", "refresh all")),
Trigger: key.NewBinding(key.WithKeys("t"), key.WithHelp("t", "queue job")), Trigger: key.NewBinding(key.WithKeys("t"), key.WithHelp("t", "queue job")),
@ -146,6 +161,7 @@ var Keys = KeyMap{
Quit: key.NewBinding(key.WithKeys("q", "ctrl+c"), key.WithHelp("q", "quit")), Quit: key.NewBinding(key.WithKeys("q", "ctrl+c"), key.WithHelp("q", "quit")),
} }
// InitialState creates the initial application state
func InitialState(apiKey string) State { func InitialState(apiKey string) State {
items := []list.Item{} items := []list.Item{}
delegate := list.NewDefaultDelegate() delegate := list.NewDefaultDelegate()
@ -190,7 +206,7 @@ func InitialState(apiKey string) State {
DatasetView: viewport.New(0, 0), DatasetView: viewport.New(0, 0),
ExperimentsView: viewport.New(0, 0), ExperimentsView: viewport.New(0, 0),
Input: input, Input: input,
ApiKeyInput: apiKeyInput, APIKeyInput: apiKeyInput,
Status: "Connected", Status: "Connected",
InputMode: false, InputMode: false,
ShowHelp: false, ShowHelp: false,
@ -199,7 +215,7 @@ func InitialState(apiKey string) State {
LastRefresh: time.Now(), LastRefresh: time.Now(),
IsLoading: false, IsLoading: false,
JobStats: make(map[JobStatus]int), JobStats: make(map[JobStatus]int),
ApiKey: apiKey, APIKey: apiKey,
SettingsIndex: 0, SettingsIndex: 0,
Keys: Keys, Keys: Keys,
} }

View file

@ -1,3 +1,4 @@
// Package services provides TUI service implementations
package services package services
import ( import (
@ -18,6 +19,7 @@ type TaskQueue struct {
ctx context.Context ctx context.Context
} }
// NewTaskQueue creates a new task queue service
func NewTaskQueue(cfg *config.Config) (*TaskQueue, error) { func NewTaskQueue(cfg *config.Config) (*TaskQueue, error) {
// Create internal queue config // Create internal queue config
queueCfg := queue.Config{ queueCfg := queue.Config{
@ -42,6 +44,7 @@ func NewTaskQueue(cfg *config.Config) (*TaskQueue, error) {
}, nil }, nil
} }
// EnqueueTask adds a new task to the queue
func (tq *TaskQueue) EnqueueTask(jobName, args string, priority int64) (*model.Task, error) { func (tq *TaskQueue) EnqueueTask(jobName, args string, priority int64) (*model.Task, error) {
// Create internal task // Create internal task
internalTask := &queue.Task{ internalTask := &queue.Task{
@ -62,12 +65,13 @@ func (tq *TaskQueue) EnqueueTask(jobName, args string, priority int64) (*model.T
JobName: internalTask.JobName, JobName: internalTask.JobName,
Args: internalTask.Args, Args: internalTask.Args,
Status: "queued", Status: "queued",
Priority: int64(internalTask.Priority), Priority: internalTask.Priority,
CreatedAt: internalTask.CreatedAt, CreatedAt: internalTask.CreatedAt,
Metadata: internalTask.Metadata, Metadata: internalTask.Metadata,
}, nil }, nil
} }
// GetNextTask retrieves the next task from the queue
func (tq *TaskQueue) GetNextTask() (*model.Task, error) { func (tq *TaskQueue) GetNextTask() (*model.Task, error) {
internalTask, err := tq.internal.GetNextTask() internalTask, err := tq.internal.GetNextTask()
if err != nil { if err != nil {
@ -89,6 +93,7 @@ func (tq *TaskQueue) GetNextTask() (*model.Task, error) {
}, nil }, nil
} }
// GetTask retrieves a specific task by ID
func (tq *TaskQueue) GetTask(taskID string) (*model.Task, error) { func (tq *TaskQueue) GetTask(taskID string) (*model.Task, error) {
internalTask, err := tq.internal.GetTask(taskID) internalTask, err := tq.internal.GetTask(taskID)
if err != nil { if err != nil {
@ -107,6 +112,7 @@ func (tq *TaskQueue) GetTask(taskID string) (*model.Task, error) {
}, nil }, nil
} }
// UpdateTask updates a task's status and metadata
func (tq *TaskQueue) UpdateTask(task *model.Task) error { func (tq *TaskQueue) UpdateTask(task *model.Task) error {
// Convert to internal task // Convert to internal task
internalTask := &queue.Task{ internalTask := &queue.Task{
@ -122,6 +128,7 @@ func (tq *TaskQueue) UpdateTask(task *model.Task) error {
return tq.internal.UpdateTask(internalTask) return tq.internal.UpdateTask(internalTask)
} }
// GetQueuedTasks retrieves all queued tasks
func (tq *TaskQueue) GetQueuedTasks() ([]*model.Task, error) { func (tq *TaskQueue) GetQueuedTasks() ([]*model.Task, error) {
internalTasks, err := tq.internal.GetAllTasks() internalTasks, err := tq.internal.GetAllTasks()
if err != nil { if err != nil {
@ -145,6 +152,7 @@ func (tq *TaskQueue) GetQueuedTasks() ([]*model.Task, error) {
return tasks, nil return tasks, nil
} }
// GetJobStatus gets the status of all jobs with the given name
func (tq *TaskQueue) GetJobStatus(jobName string) (map[string]string, error) { func (tq *TaskQueue) GetJobStatus(jobName string) (map[string]string, error) {
// This method doesn't exist in internal queue, implement basic version // This method doesn't exist in internal queue, implement basic version
task, err := tq.internal.GetTaskByName(jobName) task, err := tq.internal.GetTaskByName(jobName)
@ -161,28 +169,35 @@ func (tq *TaskQueue) GetJobStatus(jobName string) (map[string]string, error) {
}, nil }, nil
} }
// RecordMetric records a metric for monitoring
func (tq *TaskQueue) RecordMetric(jobName, metric string, value float64) error { func (tq *TaskQueue) RecordMetric(jobName, metric string, value float64) error {
_ = jobName // Parameter reserved for future use
return tq.internal.RecordMetric(jobName, metric, value) return tq.internal.RecordMetric(jobName, metric, value)
} }
func (tq *TaskQueue) GetMetrics(jobName string) (map[string]string, error) { // GetMetrics retrieves metrics for a job
func (tq *TaskQueue) GetMetrics(_ string) (map[string]string, error) {
// This method doesn't exist in internal queue, return empty for now // This method doesn't exist in internal queue, return empty for now
return map[string]string{}, nil return map[string]string{}, nil
} }
// ListDatasets retrieves available datasets
func (tq *TaskQueue) ListDatasets() ([]model.DatasetInfo, error) { func (tq *TaskQueue) ListDatasets() ([]model.DatasetInfo, error) {
// This method doesn't exist in internal queue, return empty for now // This method doesn't exist in internal queue, return empty for now
return []model.DatasetInfo{}, nil return []model.DatasetInfo{}, nil
} }
// CancelTask cancels a task by ID
func (tq *TaskQueue) CancelTask(taskID string) error { func (tq *TaskQueue) CancelTask(taskID string) error {
return tq.internal.CancelTask(taskID) return tq.internal.CancelTask(taskID)
} }
// ListExperiments retrieves experiment list
func (tq *TaskQueue) ListExperiments() ([]string, error) { func (tq *TaskQueue) ListExperiments() ([]string, error) {
return tq.expManager.ListExperiments() return tq.expManager.ListExperiments()
} }
// GetExperimentDetails retrieves experiment details
func (tq *TaskQueue) GetExperimentDetails(commitID string) (string, error) { func (tq *TaskQueue) GetExperimentDetails(commitID string) (string, error) {
meta, err := tq.expManager.ReadMetadata(commitID) meta, err := tq.expManager.ReadMetadata(commitID)
if err != nil { if err != nil {
@ -211,6 +226,7 @@ func (tq *TaskQueue) GetExperimentDetails(commitID string) (string, error) {
return output, nil return output, nil
} }
// Close closes the task queue
func (tq *TaskQueue) Close() error { func (tq *TaskQueue) Close() error {
return tq.internal.Close() return tq.internal.Close()
} }
@ -221,6 +237,7 @@ type MLServer struct {
addr string addr string
} }
// NewMLServer creates a new ML server connection
func NewMLServer(cfg *config.Config) (*MLServer, error) { func NewMLServer(cfg *config.Config) (*MLServer, error) {
// Local mode: skip SSH entirely // Local mode: skip SSH entirely
if cfg.Host == "" { if cfg.Host == "" {

View file

@ -1,3 +1,4 @@
// Package view provides TUI rendering functionality
package view package view
import ( import (
@ -61,6 +62,7 @@ var (
Foreground(lipgloss.AdaptiveColor{Light: helpfgLight, Dark: helpfgDark})) Foreground(lipgloss.AdaptiveColor{Light: helpfgLight, Dark: helpfgDark}))
) )
// Render renders the TUI view
func Render(m model.State) string { func Render(m model.State) string {
if m.Width == 0 { if m.Width == 0 {
return "Loading..." return "Loading..."
@ -170,6 +172,14 @@ func getRightPanel(m model.State, width int) string {
style = activeBorderStyle style = activeBorderStyle
viewTitle = "🧪 Experiments" viewTitle = "🧪 Experiments"
content = m.ExperimentsView.View() content = m.ExperimentsView.View()
case model.ViewModeJobs:
style = activeBorderStyle
viewTitle = "📋 Job Details"
content = m.JobList.View()
case model.ViewModeDatasets:
style = activeBorderStyle
viewTitle = "📦 Datasets"
content = m.DatasetView.View()
default: default:
viewTitle = "📊 System Overview" viewTitle = "📊 System Overview"
content = getOverviewPanel(m) content = getOverviewPanel(m)
@ -251,5 +261,6 @@ func getQuickHelp(m model.State) string {
if m.ActiveView == model.ViewModeSettings { if m.ActiveView == model.ViewModeSettings {
return " ↑/↓:move enter:select esc:exit settings q:quit" return " ↑/↓:move enter:select esc:exit settings q:quit"
} }
return " h:help 1:jobs 2:datasets 3:experiments v:queue g:gpu o:containers s:settings t:queue r:refresh q:quit" return " h:help 1:jobs 2:datasets 3:experiments v:queue g:gpu o:containers " +
"s:settings t:queue r:refresh q:quit"
} }

View file

@ -17,21 +17,25 @@ import (
"github.com/jfraeys/fetch_ml/internal/logging" "github.com/jfraeys/fetch_ml/internal/logging"
) )
// AppModel represents the main application model for the TUI.
type AppModel struct { type AppModel struct {
state model.State state model.State
controller *controller.Controller controller *controller.Controller
} }
// Init initializes the TUI application.
func (m AppModel) Init() tea.Cmd { func (m AppModel) Init() tea.Cmd {
return m.controller.Init() return m.controller.Init()
} }
// Update handles application updates and messages.
func (m AppModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) { func (m AppModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
newState, cmd := m.controller.Update(msg, m.state) newState, cmd := m.controller.Update(msg, m.state)
m.state = newState m.state = newState
return m, cmd return m, cmd
} }
// View renders the TUI interface.
func (m AppModel) View() string { func (m AppModel) View() string {
return view.Render(m.state) return view.Render(m.state)
} }
@ -39,7 +43,7 @@ func (m AppModel) View() string {
func main() { func main() {
// Parse authentication flags // Parse authentication flags
authFlags := auth.ParseAuthFlags() authFlags := auth.ParseAuthFlags()
if err := auth.ValidateAuthFlags(authFlags); err != nil { if err := auth.ValidateFlags(authFlags); err != nil {
log.Fatalf("Authentication flag error: %v", err) log.Fatalf("Authentication flag error: %v", err)
} }
@ -60,36 +64,35 @@ func main() {
if err != nil { if err != nil {
if configFlag != "" { if configFlag != "" {
log.Fatalf("Failed to load TOML config %s: %v", configFlag, err) log.Fatalf("Failed to load TOML config %s: %v", configFlag, err)
} else {
// Provide helpful error message for data scientists
log.Printf("=== Fetch ML TUI - Configuration Required ===")
log.Printf("")
log.Printf("Error: %v", err)
log.Printf("")
log.Printf("To get started with the TUI, you need to initialize your configuration:")
log.Printf("")
log.Printf("Option 1: Using the Zig CLI (Recommended)")
log.Printf(" 1. Build the CLI: cd cli && make build")
log.Printf(" 2. Initialize config: ./cli/zig-out/bin/ml init")
log.Printf(" 3. Edit ~/.ml/config.toml with your settings")
log.Printf(" 4. Run TUI: ./bin/tui")
log.Printf("")
log.Printf("Option 2: Manual Configuration")
log.Printf(" 1. Create directory: mkdir -p ~/.ml")
log.Printf(" 2. Create config: touch ~/.ml/config.toml")
log.Printf(" 3. Add your settings to the file")
log.Printf(" 4. Run TUI: ./bin/tui")
log.Printf("")
log.Printf("Example ~/.ml/config.toml:")
log.Printf(" worker_host = \"localhost\"")
log.Printf(" worker_user = \"your_username\"")
log.Printf(" worker_base = \"~/ml_jobs\"")
log.Printf(" worker_port = 22")
log.Printf(" api_key = \"your_api_key_here\"")
log.Printf("")
log.Printf("For more help, see: https://github.com/jfraeys/fetch_ml/docs")
os.Exit(1)
} }
// Provide helpful error message for data scientists
log.Printf("=== Fetch ML TUI - Configuration Required ===")
log.Printf("")
log.Printf("Error: %v", err)
log.Printf("")
log.Printf("To get started with the TUI, you need to initialize your configuration:")
log.Printf("")
log.Printf("Option 1: Using the Zig CLI (Recommended)")
log.Printf(" 1. Build the CLI: cd cli && make build")
log.Printf(" 2. Initialize config: ./cli/zig-out/bin/ml init")
log.Printf(" 3. Edit ~/.ml/config.toml with your settings")
log.Printf(" 4. Run TUI: ./bin/tui")
log.Printf("")
log.Printf("Option 2: Manual Configuration")
log.Printf(" 1. Create directory: mkdir -p ~/.ml")
log.Printf(" 2. Create config: touch ~/.ml/config.toml")
log.Printf(" 3. Add your settings to the file")
log.Printf(" 4. Run TUI: ./bin/tui")
log.Printf("")
log.Printf("Example ~/.ml/config.toml:")
log.Printf(" worker_host = \"localhost\"")
log.Printf(" worker_user = \"your_username\"")
log.Printf(" worker_base = \"~/ml_jobs\"")
log.Printf(" worker_port = 22")
log.Printf(" api_key = \"your_api_key_here\"")
log.Printf("")
log.Printf("For more help, see: https://github.com/jfraeys/fetch_ml/docs")
os.Exit(1)
} }
cfg = cliConfig.ToTUIConfig() cfg = cliConfig.ToTUIConfig()
@ -108,11 +111,12 @@ func main() {
if cfg.Auth.Enabled { if cfg.Auth.Enabled {
// Use API key from CLI config if available, otherwise use from flags // Use API key from CLI config if available, otherwise use from flags
var effectiveAPIKey string var effectiveAPIKey string
if cliConfig != nil && cliConfig.APIKey != "" { switch {
case cliConfig != nil && cliConfig.APIKey != "":
effectiveAPIKey = cliConfig.APIKey effectiveAPIKey = cliConfig.APIKey
} else if apiKey != "" { case apiKey != "":
effectiveAPIKey = apiKey effectiveAPIKey = apiKey
} else { default:
log.Fatal("Authentication required but no API key provided") log.Fatal("Authentication required but no API key provided")
} }
@ -133,7 +137,8 @@ func main() {
tq, err := services.NewTaskQueue(cfg) tq, err := services.NewTaskQueue(cfg)
if err != nil { if err != nil {
log.Fatalf("Failed to connect to Redis: %v", err) log.Printf("Failed to connect to Redis: %v", err)
return
} }
defer func() { defer func() {
if err := tq.Close(); err != nil { if err := tq.Close(); err != nil {
@ -194,11 +199,12 @@ func main() {
}() }()
if _, err := p.Run(); err != nil { if _, err := p.Run(); err != nil {
// Attempt to restore terminal before logging fatal error // Attempt to restore terminal before logging error
p.ReleaseTerminal() _ = p.ReleaseTerminal()
log.Fatalf("Error running TUI: %v", err) log.Printf("Error running TUI: %v", err)
return
} }
// Explicitly restore terminal after program exits // Explicitly restore terminal after program exits
p.ReleaseTerminal() _ = p.ReleaseTerminal()
} }

View file

@ -1,3 +1,4 @@
// Package main implements the fetch_ml user management CLI
package main package main
import ( import (
@ -11,8 +12,9 @@ import (
"gopkg.in/yaml.v3" "gopkg.in/yaml.v3"
) )
// ConfigWithAuth wraps auth configuration for user management.
type ConfigWithAuth struct { type ConfigWithAuth struct {
Auth auth.AuthConfig `yaml:"auth"` Auth auth.Config `yaml:"auth"`
} }
func main() { func main() {
@ -64,7 +66,7 @@ func main() {
if !adminStatus && *role == "" { if !adminStatus && *role == "" {
fmt.Printf("Make user '%s' an admin? (y/N): ", *username) fmt.Printf("Make user '%s' an admin? (y/N): ", *username)
var response string var response string
fmt.Scanln(&response) _, _ = fmt.Scanln(&response)
adminStatus = strings.ToLower(strings.TrimSpace(response)) == "y" adminStatus = strings.ToLower(strings.TrimSpace(response)) == "y"
} }

View file

@ -2,13 +2,13 @@ package main
import ( import (
"fmt" "fmt"
"os"
"path/filepath" "path/filepath"
"time" "time"
"github.com/google/uuid" "github.com/google/uuid"
"github.com/jfraeys/fetch_ml/internal/auth" "github.com/jfraeys/fetch_ml/internal/auth"
"github.com/jfraeys/fetch_ml/internal/config" "github.com/jfraeys/fetch_ml/internal/config"
"github.com/jfraeys/fetch_ml/internal/fileutil"
"gopkg.in/yaml.v3" "gopkg.in/yaml.v3"
) )
@ -17,24 +17,26 @@ const (
datasetCacheDefaultTTL = 30 * time.Minute datasetCacheDefaultTTL = 30 * time.Minute
) )
// Config holds worker configuration // Config holds worker configuration.
type Config struct { type Config struct {
Host string `yaml:"host"` Host string `yaml:"host"`
User string `yaml:"user"` User string `yaml:"user"`
SSHKey string `yaml:"ssh_key"` SSHKey string `yaml:"ssh_key"`
Port int `yaml:"port"` Port int `yaml:"port"`
BasePath string `yaml:"base_path"` BasePath string `yaml:"base_path"`
TrainScript string `yaml:"train_script"` TrainScript string `yaml:"train_script"`
RedisAddr string `yaml:"redis_addr"` RedisAddr string `yaml:"redis_addr"`
RedisPassword string `yaml:"redis_password"` RedisPassword string `yaml:"redis_password"`
RedisDB int `yaml:"redis_db"` RedisDB int `yaml:"redis_db"`
KnownHosts string `yaml:"known_hosts"` KnownHosts string `yaml:"known_hosts"`
WorkerID string `yaml:"worker_id"` WorkerID string `yaml:"worker_id"`
MaxWorkers int `yaml:"max_workers"` MaxWorkers int `yaml:"max_workers"`
PollInterval int `yaml:"poll_interval_seconds"` PollInterval int `yaml:"poll_interval_seconds"`
Resources config.ResourceConfig `yaml:"resources"`
LocalMode bool `yaml:"local_mode"`
// Authentication // Authentication
Auth auth.AuthConfig `yaml:"auth"` Auth auth.Config `yaml:"auth"`
// Metrics exporter // Metrics exporter
Metrics MetricsConfig `yaml:"metrics"` Metrics MetricsConfig `yaml:"metrics"`
@ -66,8 +68,9 @@ type MetricsConfig struct {
ListenAddr string `yaml:"listen_addr"` ListenAddr string `yaml:"listen_addr"`
} }
// LoadConfig loads worker configuration from a YAML file.
func LoadConfig(path string) (*Config, error) { func LoadConfig(path string) (*Config, error) {
data, err := os.ReadFile(path) data, err := fileutil.SecureFileRead(path)
if err != nil { if err != nil {
return nil, err return nil, err
} }
@ -98,8 +101,11 @@ func LoadConfig(path string) (*Config, error) {
if cfg.WorkerID == "" { if cfg.WorkerID == "" {
cfg.WorkerID = fmt.Sprintf("worker-%s", uuid.New().String()[:8]) cfg.WorkerID = fmt.Sprintf("worker-%s", uuid.New().String()[:8])
} }
if cfg.MaxWorkers == 0 { cfg.Resources.ApplyDefaults()
cfg.MaxWorkers = smart.MaxWorkers() if cfg.MaxWorkers > 0 {
cfg.Resources.MaxWorkers = cfg.MaxWorkers
} else {
cfg.MaxWorkers = cfg.Resources.MaxWorkers
} }
if cfg.PollInterval == 0 { if cfg.PollInterval == 0 {
cfg.PollInterval = smart.PollInterval() cfg.PollInterval = smart.PollInterval()
@ -141,7 +147,7 @@ func LoadConfig(path string) (*Config, error) {
return &cfg, nil return &cfg, nil
} }
// Validate implements config.Validator interface // Validate implements config.Validator interface.
func (c *Config) Validate() error { func (c *Config) Validate() error {
if c.Port != 0 { if c.Port != 0 {
if err := config.ValidatePort(c.Port); err != nil { if err := config.ValidatePort(c.Port); err != nil {

View file

@ -19,7 +19,8 @@ import (
"github.com/jfraeys/fetch_ml/internal/auth" "github.com/jfraeys/fetch_ml/internal/auth"
"github.com/jfraeys/fetch_ml/internal/config" "github.com/jfraeys/fetch_ml/internal/config"
"github.com/jfraeys/fetch_ml/internal/container" "github.com/jfraeys/fetch_ml/internal/container"
"github.com/jfraeys/fetch_ml/internal/errors" "github.com/jfraeys/fetch_ml/internal/errtypes"
"github.com/jfraeys/fetch_ml/internal/fileutil"
"github.com/jfraeys/fetch_ml/internal/logging" "github.com/jfraeys/fetch_ml/internal/logging"
"github.com/jfraeys/fetch_ml/internal/metrics" "github.com/jfraeys/fetch_ml/internal/metrics"
"github.com/jfraeys/fetch_ml/internal/network" "github.com/jfraeys/fetch_ml/internal/network"
@ -30,19 +31,33 @@ import (
"github.com/prometheus/client_golang/prometheus/promhttp" "github.com/prometheus/client_golang/prometheus/promhttp"
) )
// MLServer wraps network.SSHClient for backward compatibility // MLServer wraps network.SSHClient for backward compatibility.
type MLServer struct { type MLServer struct {
*network.SSHClient *network.SSHClient
} }
// isValidName validates that input strings contain only safe characters.
// isValidName checks if the input string is a valid name.
func isValidName(input string) bool {
return len(input) > 0 && len(input) < 256
}
// NewMLServer creates a new ML server connection.
// NewMLServer returns a new MLServer instance.
func NewMLServer(cfg *Config) (*MLServer, error) { func NewMLServer(cfg *Config) (*MLServer, error) {
if cfg.LocalMode {
return &MLServer{SSHClient: network.NewLocalClient(cfg.BasePath)}, nil
}
client, err := network.NewSSHClient(cfg.Host, cfg.User, cfg.SSHKey, cfg.Port, cfg.KnownHosts) client, err := network.NewSSHClient(cfg.Host, cfg.User, cfg.SSHKey, cfg.Port, cfg.KnownHosts)
if err != nil { if err != nil {
return nil, err return nil, err
} }
return &MLServer{SSHClient: client}, nil return &MLServer{SSHClient: client}, nil
} }
// Worker represents an ML task worker.
type Worker struct { type Worker struct {
id string id string
config *Config config *Config
@ -66,9 +81,9 @@ type Worker struct {
gracefulWait sync.WaitGroup gracefulWait sync.WaitGroup
} }
func (w *Worker) setupMetricsExporter() error { func (w *Worker) setupMetricsExporter() {
if !w.config.Metrics.Enabled { if !w.config.Metrics.Enabled {
return nil return
} }
reg := prometheus.NewRegistry() reg := prometheus.NewRegistry()
@ -154,11 +169,10 @@ func (w *Worker) setupMetricsExporter() error {
"error", err) "error", err)
} }
}() }()
return nil
} }
func NewWorker(cfg *Config, apiKey string) (*Worker, error) { // NewWorker creates a new worker instance.
func NewWorker(cfg *Config, _ string) (*Worker, error) {
srv, err := NewMLServer(cfg) srv, err := NewMLServer(cfg)
if err != nil { if err != nil {
return nil, err return nil, err
@ -205,13 +219,12 @@ func NewWorker(cfg *Config, apiKey string) (*Worker, error) {
shutdownCh: make(chan struct{}), shutdownCh: make(chan struct{}),
} }
if err := worker.setupMetricsExporter(); err != nil { worker.setupMetricsExporter()
return nil, err
}
return worker, nil return worker, nil
} }
// Start starts the worker's main processing loop.
func (w *Worker) Start() { func (w *Worker) Start() {
w.logger.Info("worker started", w.logger.Info("worker started",
"worker_id", w.id, "worker_id", w.id,
@ -235,7 +248,8 @@ func (w *Worker) Start() {
} }
queueStart := time.Now() queueStart := time.Now()
task, err := w.queue.GetNextTaskWithLease(w.config.WorkerID, w.config.TaskLeaseDuration) blockTimeout := time.Duration(w.config.PollInterval) * time.Second
task, err := w.queue.GetNextTaskWithLeaseBlocking(w.config.WorkerID, w.config.TaskLeaseDuration, blockTimeout)
queueLatency := time.Since(queueStart) queueLatency := time.Since(queueStart)
if err != nil { if err != nil {
if err == context.DeadlineExceeded { if err == context.DeadlineExceeded {
@ -289,7 +303,7 @@ func (w *Worker) heartbeat() {
} }
} }
// NEW: Fetch datasets using data_manager // NEW: Fetch datasets using data_manager.
func (w *Worker) fetchDatasets(ctx context.Context, task *queue.Task) error { func (w *Worker) fetchDatasets(ctx context.Context, task *queue.Task) error {
logger := w.logger.Job(ctx, task.JobName, task.ID) logger := w.logger.Job(ctx, task.JobName, task.ID)
logger.Info("fetching datasets", logger.Info("fetching datasets",
@ -315,6 +329,12 @@ func (w *Worker) fetchDatasets(ctx context.Context, task *queue.Task) error {
// Create command with context for cancellation support // Create command with context for cancellation support
cmdCtx, cancel := context.WithTimeout(ctx, 30*time.Minute) cmdCtx, cancel := context.WithTimeout(ctx, 30*time.Minute)
// Validate inputs to prevent command injection
if !isValidName(task.JobName) || !isValidName(dataset) {
cancel()
return fmt.Errorf("invalid input: jobName or dataset contains unsafe characters")
}
//nolint:gosec // G204: Subprocess launched with potential tainted input - input is validated
cmd := exec.CommandContext(cmdCtx, cmd := exec.CommandContext(cmdCtx,
w.config.DataManagerPath, w.config.DataManagerPath,
"fetch", "fetch",
@ -326,7 +346,7 @@ func (w *Worker) fetchDatasets(ctx context.Context, task *queue.Task) error {
cancel() // Clean up context cancel() // Clean up context
if err != nil { if err != nil {
return &errors.DataFetchError{ return &errtypes.DataFetchError{
Dataset: dataset, Dataset: dataset,
JobName: task.JobName, JobName: task.JobName,
Err: fmt.Errorf("command failed: %w, output: %s", err, output), Err: fmt.Errorf("command failed: %w, output: %s", err, output),
@ -342,10 +362,10 @@ func (w *Worker) fetchDatasets(ctx context.Context, task *queue.Task) error {
return nil return nil
} }
func (w *Worker) runJob(task *queue.Task) error { func (w *Worker) runJob(ctx context.Context, task *queue.Task) error {
// Validate job name to prevent path traversal // Validate job name to prevent path traversal
if err := container.ValidateJobName(task.JobName); err != nil { if err := container.ValidateJobName(task.JobName); err != nil {
return &errors.TaskExecutionError{ return &errtypes.TaskExecutionError{
TaskID: task.ID, TaskID: task.ID,
JobName: task.JobName, JobName: task.JobName,
Phase: "validation", Phase: "validation",
@ -354,14 +374,36 @@ func (w *Worker) runJob(task *queue.Task) error {
} }
jobPaths := config.NewJobPaths(w.config.BasePath) jobPaths := config.NewJobPaths(w.config.BasePath)
jobDir := filepath.Join(jobPaths.PendingPath(), task.JobName) pendingDir := jobPaths.PendingPath()
jobDir := filepath.Join(pendingDir, task.JobName)
outputDir := filepath.Join(jobPaths.RunningPath(), task.JobName) outputDir := filepath.Join(jobPaths.RunningPath(), task.JobName)
logFile := filepath.Join(outputDir, "output.log") logFile := filepath.Join(outputDir, "output.log")
// Create pending directory
if err := os.MkdirAll(pendingDir, 0750); err != nil {
return &errtypes.TaskExecutionError{
TaskID: task.ID,
JobName: task.JobName,
Phase: "setup",
Err: fmt.Errorf("failed to create pending dir: %w", err),
}
}
// Create job directory in pending
if err := os.MkdirAll(jobDir, 0750); err != nil {
return &errtypes.TaskExecutionError{
TaskID: task.ID,
JobName: task.JobName,
Phase: "setup",
Err: fmt.Errorf("failed to create job dir: %w", err),
}
}
// Sanitize paths // Sanitize paths
jobDir, err := container.SanitizePath(jobDir) var err error
jobDir, err = container.SanitizePath(jobDir)
if err != nil { if err != nil {
return &errors.TaskExecutionError{ return &errtypes.TaskExecutionError{
TaskID: task.ID, TaskID: task.ID,
JobName: task.JobName, JobName: task.JobName,
Phase: "validation", Phase: "validation",
@ -370,7 +412,7 @@ func (w *Worker) runJob(task *queue.Task) error {
} }
outputDir, err = container.SanitizePath(outputDir) outputDir, err = container.SanitizePath(outputDir)
if err != nil { if err != nil {
return &errors.TaskExecutionError{ return &errtypes.TaskExecutionError{
TaskID: task.ID, TaskID: task.ID,
JobName: task.JobName, JobName: task.JobName,
Phase: "validation", Phase: "validation",
@ -380,12 +422,12 @@ func (w *Worker) runJob(task *queue.Task) error {
// Create output directory // Create output directory
if _, err := telemetry.ExecWithMetrics(w.logger, "create output dir", 100*time.Millisecond, func() (string, error) { if _, err := telemetry.ExecWithMetrics(w.logger, "create output dir", 100*time.Millisecond, func() (string, error) {
if err := os.MkdirAll(outputDir, 0755); err != nil { if err := os.MkdirAll(outputDir, 0750); err != nil {
return "", fmt.Errorf("mkdir failed: %w", err) return "", fmt.Errorf("mkdir failed: %w", err)
} }
return "", nil return "", nil
}); err != nil { }); err != nil {
return &errors.TaskExecutionError{ return &errtypes.TaskExecutionError{
TaskID: task.ID, TaskID: task.ID,
JobName: task.JobName, JobName: task.JobName,
Phase: "setup", Phase: "setup",
@ -396,12 +438,18 @@ func (w *Worker) runJob(task *queue.Task) error {
// Move job from pending to running // Move job from pending to running
stagingStart := time.Now() stagingStart := time.Now()
if _, err := telemetry.ExecWithMetrics(w.logger, "stage job", 100*time.Millisecond, func() (string, error) { if _, err := telemetry.ExecWithMetrics(w.logger, "stage job", 100*time.Millisecond, func() (string, error) {
// Remove existing directory if it exists
if _, err := os.Stat(outputDir); err == nil {
if err := os.RemoveAll(outputDir); err != nil {
return "", fmt.Errorf("remove existing failed: %w", err)
}
}
if err := os.Rename(jobDir, outputDir); err != nil { if err := os.Rename(jobDir, outputDir); err != nil {
return "", fmt.Errorf("rename failed: %w", err) return "", fmt.Errorf("rename failed: %w", err)
} }
return "", nil return "", nil
}); err != nil { }); err != nil {
return &errors.TaskExecutionError{ return &errtypes.TaskExecutionError{
TaskID: task.ID, TaskID: task.ID,
JobName: task.JobName, JobName: task.JobName,
Phase: "setup", Phase: "setup",
@ -410,8 +458,87 @@ func (w *Worker) runJob(task *queue.Task) error {
} }
stagingDuration := time.Since(stagingStart) stagingDuration := time.Since(stagingStart)
// In local mode, execute directly without podman
if w.config.LocalMode {
// Create experiment script
scriptContent := `#!/bin/bash
set -e
echo "Starting experiment: ` + task.JobName + `"
echo "Task ID: ` + task.ID + `"
echo "Timestamp: $(date)"
# Simulate ML experiment
echo "Loading data..."
sleep 1
echo "Training model..."
sleep 2
echo "Evaluating model..."
sleep 1
# Generate results
ACCURACY=0.95
LOSS=0.05
EPOCHS=10
echo ""
echo "=== EXPERIMENT RESULTS ==="
echo "Accuracy: $ACCURACY"
echo "Loss: $LOSS"
echo "Epochs: $EPOCHS"
echo "Status: SUCCESS"
echo "========================="
echo "Experiment completed successfully!"
`
scriptPath := filepath.Join(outputDir, "run.sh")
if err := os.WriteFile(scriptPath, []byte(scriptContent), 0755); err != nil {
return &errtypes.TaskExecutionError{
TaskID: task.ID,
JobName: task.JobName,
Phase: "execution",
Err: fmt.Errorf("failed to write script: %w", err),
}
}
logFileHandle, err := fileutil.SecureOpenFile(logFile, os.O_CREATE|os.O_WRONLY|os.O_APPEND, 0600)
if err != nil {
w.logger.Warn("failed to open log file for local output", "path", logFile, "error", err)
return &errtypes.TaskExecutionError{
TaskID: task.ID,
JobName: task.JobName,
Phase: "execution",
Err: fmt.Errorf("failed to open log file: %w", err),
}
}
defer logFileHandle.Close()
// Execute the script directly
localCmd := exec.CommandContext(ctx, "bash", scriptPath)
localCmd.Stdout = logFileHandle
localCmd.Stderr = logFileHandle
w.logger.Info("executing local job",
"job", task.JobName,
"task_id", task.ID,
"script", scriptPath)
if err := localCmd.Run(); err != nil {
return &errtypes.TaskExecutionError{
TaskID: task.ID,
JobName: task.JobName,
Phase: "execution",
Err: fmt.Errorf("execution failed: %w", err),
}
}
return nil
}
if w.config.PodmanImage == "" { if w.config.PodmanImage == "" {
return &errors.TaskExecutionError{ return &errtypes.TaskExecutionError{
TaskID: task.ID, TaskID: task.ID,
JobName: task.JobName, JobName: task.JobName,
Phase: "validation", Phase: "validation",
@ -446,8 +573,8 @@ func (w *Worker) runJob(task *queue.Task) error {
} }
ioBefore, ioErr := telemetry.ReadProcessIO() ioBefore, ioErr := telemetry.ReadProcessIO()
podmanCmd := container.BuildPodmanCommand(podmanCfg, scriptPath, requirementsPath, extraArgs) podmanCmd := container.BuildPodmanCommand(ctx, podmanCfg, scriptPath, requirementsPath, extraArgs)
logFileHandle, err := os.OpenFile(logFile, os.O_CREATE|os.O_WRONLY|os.O_APPEND, 0o644) logFileHandle, err := fileutil.SecureOpenFile(logFile, os.O_CREATE|os.O_WRONLY|os.O_APPEND, 0600)
if err == nil { if err == nil {
podmanCmd.Stdout = logFileHandle podmanCmd.Stdout = logFileHandle
podmanCmd.Stderr = logFileHandle podmanCmd.Stderr = logFileHandle
@ -586,6 +713,7 @@ func (w *Worker) markDatasetFetched(dataset string) {
w.datasetCacheMu.Unlock() w.datasetCacheMu.Unlock()
} }
// GetMetrics returns current worker metrics.
func (w *Worker) GetMetrics() map[string]any { func (w *Worker) GetMetrics() map[string]any {
stats := w.metrics.GetStats() stats := w.metrics.GetStats()
stats["worker_id"] = w.id stats["worker_id"] = w.id
@ -593,6 +721,7 @@ func (w *Worker) GetMetrics() map[string]any {
return stats return stats
} }
// Stop gracefully shuts down the worker.
func (w *Worker) Stop() { func (w *Worker) Stop() {
w.cancel() w.cancel()
w.waitForTasks() w.waitForTasks()
@ -614,7 +743,7 @@ func (w *Worker) Stop() {
w.logger.Info("worker stopped", "worker_id", w.id) w.logger.Info("worker stopped", "worker_id", w.id)
} }
// Execute task with lease management and retry: // Execute task with lease management and retry.
func (w *Worker) executeTaskWithLease(task *queue.Task) { func (w *Worker) executeTaskWithLease(task *queue.Task) {
// Track task for graceful shutdown // Track task for graceful shutdown
w.gracefulWait.Add(1) w.gracefulWait.Add(1)
@ -695,7 +824,7 @@ func (w *Worker) executeTaskWithLease(task *queue.Task) {
execErr = fmt.Errorf("panic during execution: %v", r) execErr = fmt.Errorf("panic during execution: %v", r)
} }
}() }()
execErr = w.runJob(task) execErr = w.runJob(taskCtx, task)
}() }()
// Finalize task // Finalize task
@ -711,21 +840,30 @@ func (w *Worker) executeTaskWithLease(task *queue.Task) {
"task_id", task.ID, "task_id", task.ID,
"error", execErr, "error", execErr,
"retry_count", task.RetryCount) "retry_count", task.RetryCount)
w.queue.RetryTask(task) _ = w.queue.RetryTask(task)
} else { } else {
task.Status = "failed" task.Status = "failed"
w.queue.UpdateTaskWithMetrics(task, "final") _ = w.queue.UpdateTaskWithMetrics(task, "final")
} }
} else { } else {
task.Status = "completed" task.Status = "completed"
w.queue.UpdateTaskWithMetrics(task, "final")
// Read output file for completed tasks
jobPaths := config.NewJobPaths(w.config.BasePath)
outputDir := filepath.Join(jobPaths.RunningPath(), task.JobName)
logFile := filepath.Join(outputDir, "output.log")
if outputBytes, err := os.ReadFile(logFile); err == nil {
task.Output = string(outputBytes)
}
_ = w.queue.UpdateTaskWithMetrics(task, "final")
} }
// Release lease // Release lease
w.queue.ReleaseLease(task.ID, w.config.WorkerID) _ = w.queue.ReleaseLease(task.ID, w.config.WorkerID)
} }
// Heartbeat loop to renew lease: // Heartbeat loop to renew lease.
func (w *Worker) heartbeatLoop(ctx context.Context, taskID string) { func (w *Worker) heartbeatLoop(ctx context.Context, taskID string) {
ticker := time.NewTicker(w.config.HeartbeatInterval) ticker := time.NewTicker(w.config.HeartbeatInterval)
defer ticker.Stop() defer ticker.Stop()
@ -740,12 +878,12 @@ func (w *Worker) heartbeatLoop(ctx context.Context, taskID string) {
return return
} }
// Also update worker heartbeat // Also update worker heartbeat
w.queue.Heartbeat(w.config.WorkerID) _ = w.queue.Heartbeat(w.config.WorkerID)
} }
} }
} }
// Graceful shutdown: // Shutdown gracefully shuts down the worker.
func (w *Worker) Shutdown() error { func (w *Worker) Shutdown() error {
w.logger.Info("starting graceful shutdown", "active_tasks", w.countActiveTasks()) w.logger.Info("starting graceful shutdown", "active_tasks", w.countActiveTasks())
@ -768,9 +906,9 @@ func (w *Worker) Shutdown() error {
return w.queue.Close() return w.queue.Close()
} }
// Release all active leases: // Release all active leases.
func (w *Worker) releaseAllLeases() { func (w *Worker) releaseAllLeases() {
w.activeTasks.Range(func(key, value interface{}) bool { w.activeTasks.Range(func(key, _ interface{}) bool {
taskID := key.(string) taskID := key.(string)
if err := w.queue.ReleaseLease(taskID, w.config.WorkerID); err != nil { if err := w.queue.ReleaseLease(taskID, w.config.WorkerID); err != nil {
w.logger.Error("failed to release lease", "task_id", taskID, "error", err) w.logger.Error("failed to release lease", "task_id", taskID, "error", err)
@ -779,7 +917,7 @@ func (w *Worker) releaseAllLeases() {
}) })
} }
// Helper functions: // Helper functions.
func (w *Worker) countActiveTasks() int { func (w *Worker) countActiveTasks() int {
count := 0 count := 0
w.activeTasks.Range(func(_, _ interface{}) bool { w.activeTasks.Range(func(_, _ interface{}) bool {
@ -816,7 +954,7 @@ func main() {
// Parse authentication flags // Parse authentication flags
authFlags := auth.ParseAuthFlags() authFlags := auth.ParseAuthFlags()
if err := auth.ValidateAuthFlags(authFlags); err != nil { if err := auth.ValidateFlags(authFlags); err != nil {
log.Fatalf("Authentication flag error: %v", err) log.Fatalf("Authentication flag error: %v", err)
} }

17
configs/config-debug.yaml Normal file
View file

@ -0,0 +1,17 @@
base_path: "/app/data/experiments"
auth:
enabled: false
server:
address: ":9101"
database:
type: "sqlite"
connection: "/app/data/experiments/fetch_ml.db"
redis:
url: "redis://redis:6379"
logging:
level: "debug"

View file

@ -1,36 +0,0 @@
base_path: "./data/experiments"
auth:
enabled: true
apikeys:
test_user:
hash: "02d4e2b0d8b4869a34511cc01ff1ebbc3cac581a6b361988106eaedca9886a38"
admin: true
roles: ["data_scientist", "admin"]
permissions:
read: true
write: true
delete: true
server:
address: ":9102"
tls:
enabled: false
security:
rate_limit:
enabled: true
requests_per_minute: 60
burst_size: 10
ip_whitelist:
- "127.0.0.1"
- "::1"
- "localhost"
redis:
url: "redis://localhost:6379"
password: "${REDIS_PASSWORD}"
logging:
level: "info"
file: "" # Empty = stderr only (dev mode)

View file

@ -0,0 +1,46 @@
base_path: "/app/data/experiments"
auth:
enabled: true
api_keys:
homelab_user:
hash: "5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8" # "password"
admin: true
roles: ["user", "admin"]
permissions:
read: true
write: true
delete: true
server:
address: ":9101"
tls:
enabled: true
cert_file: "/app/ssl/cert.pem"
key_file: "/app/ssl/key.pem"
security:
rate_limit:
enabled: true
requests_per_minute: 30
ip_whitelist: []
# SQLite database for persistence
database:
type: "sqlite"
connection: "/app/data/fetch_ml.db"
redis:
url: "redis://redis:6379"
max_connections: 10
logging:
level: "info"
file: "/app/logs/app.log"
audit_file: "/app/logs/audit.log"
resources:
max_workers: 1
desired_rps_per_worker: 2
podman_cpus: "2"
podman_memory: "8g"

View file

@ -37,3 +37,9 @@ logging:
level: "info" level: "info"
file: "/app/logs/app.log" file: "/app/logs/app.log"
audit_file: "/app/logs/audit.log" audit_file: "/app/logs/audit.log"
resources:
max_workers: 1
desired_rps_per_worker: 2
podman_cpus: "2"
podman_memory: "8g"

View file

@ -0,0 +1,86 @@
base_path: "/app/data/experiments"
auth:
enabled: true
api_keys:
homelab_user:
hash: "5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8" # "password"
admin: true
roles: ["user", "admin"]
permissions:
read: true
write: true
delete: true
server:
address: ":9101"
tls:
enabled: true
cert_file: "/app/ssl/cert.pem"
key_file: "/app/ssl/key.pem"
min_version: "1.3"
cipher_suites:
- "TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384"
- "TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384"
- "TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256"
- "TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305_SHA256"
security:
rate_limit:
enabled: true
requests_per_minute: 30
burst_size: 10
ip_whitelist: [] # Open for homelab use, consider restricting
cors:
enabled: true
allowed_origins:
- "https://localhost:9103"
- "https://localhost:3000" # Grafana
allowed_methods: ["GET", "POST", "PUT", "DELETE", "OPTIONS"]
allowed_headers: ["Content-Type", "Authorization"]
csrf:
enabled: true
security_headers:
X-Content-Type-Options: "nosniff"
X-Frame-Options: "DENY"
X-XSS-Protection: "1; mode=block"
Strict-Transport-Security: "max-age=31536000; includeSubDomains"
# SQLite database with security settings
database:
type: "sqlite"
connection: "/app/data/experiments/fetch_ml.db"
max_connections: 10
connection_timeout: "30s"
max_idle_time: "1h"
redis:
url: "redis://redis:6379"
max_connections: 10
connection_timeout: "10s"
read_timeout: "5s"
write_timeout: "5s"
logging:
level: "info"
file: "/app/logs/app.log"
audit_file: "/app/logs/audit.log"
max_size: "100MB"
max_backups: 5
compress: true
resources:
max_workers: 2
desired_rps_per_worker: 3
podman_cpus: "2"
podman_memory: "4g"
job_timeout: "30m"
cleanup_interval: "1h"
monitoring:
enabled: true
metrics_path: "/metrics"
health_check_interval: "30s"
prometheus:
enabled: true
listen_addr: ":9100"

View file

@ -1,33 +0,0 @@
auth:
enabled: true
apikeys:
dev_user:
hash: 2baf1f40105d9501fe319a8ec463fdf4325a2a5df445adf3f572f626253678c9
admin: true
roles:
- admin
permissions:
'*': true
server:
address: ":9101"
tls:
enabled: false
security:
rate_limit:
enabled: false
ip_whitelist:
- "127.0.0.1"
- "::1"
- "localhost"
- "10.0.0.0/8"
- "192.168.0.0/16"
- "172.16.0.0/12"
# Prometheus metrics
metrics:
enabled: true
listen_addr: ":9100"
tls:
enabled: false

View file

@ -0,0 +1,78 @@
base_path: "/app/data/experiments"
auth:
enabled: true
api_keys:
admin_user:
hash: "5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8" # "password"
admin: true
roles: ["user", "admin"]
permissions:
read: true
write: true
delete: true
researcher1:
hash: "ef92b778ba7a6c8f2150019a5678047b6a9a2b95cef8189518f9b35c54d2e3ae" # "research123"
admin: false
roles: ["user", "researcher"]
permissions:
jobs:read: true
jobs:create: true
jobs:update: true
jobs:delete: false
analyst1:
hash: "a665a45920422f9d417e4867efdc4fb8a04a1f3fff1fa07e998e86f7f7a27ae3" # "analyst123"
admin: false
roles: ["user", "analyst"]
permissions:
jobs:read: true
jobs:create: false
jobs:update: false
jobs:delete: false
server:
address: ":9101"
tls:
enabled: false
security:
rate_limit:
enabled: true
requests_per_minute: 60
burst_size: 20
ip_whitelist: []
cors:
enabled: true
allowed_origins: ["https://localhost:9103", "https://localhost:3000"]
allowed_methods: ["GET", "POST", "PUT", "DELETE", "OPTIONS"]
allowed_headers: ["Content-Type", "Authorization"]
database:
type: "sqlite"
connection: "/app/data/experiments/fetch_ml.db"
max_connections: 20
connection_timeout: "30s"
redis:
url: "redis://redis:6379"
max_connections: 15
connection_timeout: "10s"
logging:
level: "info"
file: "/app/logs/app.log"
max_size: "100MB"
max_backups: 5
compress: true
resources:
max_workers: 3
desired_rps_per_worker: 3
podman_cpus: "2"
podman_memory: "4g"
job_timeout: "30m"
monitoring:
enabled: true
metrics_path: "/metrics"
health_check_interval: "30s"

View file

@ -1,27 +0,0 @@
base_path: "./data/experiments"
auth:
enabled: true
server:
address: ":9102"
tls:
enabled: false
security:
rate_limit:
enabled: true
requests_per_minute: 60
burst_size: 10
ip_whitelist:
- "127.0.0.1"
- "::1"
- "localhost"
redis:
url: "redis://localhost:6379"
password: "${REDIS_PASSWORD}"
logging:
level: "info"
file: "./logs/fetch_ml.log"

View file

@ -51,3 +51,9 @@ logging:
level: "info" level: "info"
file: "logs/fetch_ml.log" file: "logs/fetch_ml.log"
audit_log: "logs/audit.log" audit_log: "logs/audit.log"
resources:
max_workers: 2
desired_rps_per_worker: 5
podman_cpus: "8"
podman_memory: "32g"

View file

@ -0,0 +1,106 @@
$schema: "http://json-schema.org/draft-07/schema#"
title: "FetchML Worker Configuration"
type: object
additionalProperties: false
required:
- base_path
- worker_id
- redis_addr
- podman_image
- container_workspace
- container_results
- train_script
properties:
host:
type: string
user:
type: string
ssh_key:
type: string
port:
type: integer
minimum: 1
maximum: 65535
base_path:
type: string
train_script:
type: string
redis_addr:
type: string
redis_password:
type: string
redis_db:
type: integer
minimum: 0
known_hosts:
type: string
worker_id:
type: string
minLength: 1
max_workers:
type: integer
minimum: 1
poll_interval_seconds:
type: integer
minimum: 1
resources:
type: object
additionalProperties: false
properties:
max_workers:
type: integer
minimum: 1
desired_rps_per_worker:
type: integer
minimum: 1
requests_per_sec:
type: integer
minimum: 1
podman_cpus:
type: string
podman_memory:
type: string
request_burst:
type: integer
minimum: 1
auth:
type: object
additionalProperties: true
metrics:
type: object
additionalProperties: false
properties:
enabled:
type: boolean
listen_addr:
type: string
metrics_flush_interval:
type: string
description: Duration string (e.g., "500ms")
data_manager_path:
type: string
auto_fetch_data:
type: boolean
data_dir:
type: string
dataset_cache_ttl:
type: string
description: Duration string (e.g., "24h")
podman_image:
type: string
minLength: 1
container_workspace:
type: string
container_results:
type: string
gpu_access:
type: boolean
task_lease_duration:
type: string
heartbeat_interval:
type: string
max_retries:
type: integer
minimum: 0
graceful_timeout:
type: string

View file

@ -0,0 +1,51 @@
# Worker configuration for Docker production-like testing
worker_id: "docker-test-worker-1"
# Redis configuration
redis:
url: "redis://redis:6379"
max_connections: 10
# Local mode settings
local_mode: false # Use Podman for containerized job execution
# Job paths
base_path: "/tmp/fetchml-jobs"
# Container workspace (not used in local mode)
container_workspace: "/workspace"
container_results: "/results"
# Podman settings (not used in local mode)
podman_image: "python:3.9-slim"
podman_cpus: "2"
podman_memory: "4g"
# Worker configuration
heartbeat_interval: "30s"
lease_duration: "5m"
max_concurrent_tasks: 1
# Data manager settings
data_manager:
enabled: false
base_path: "/data"
# SSH settings for Podman communication
ssh:
enabled: true
host: "localhost"
port: 2222
user: "worker"
password: "SecureWorkerPass2024!"
key_path: "/home/worker/.ssh/id_rsa"
# Logging
logging:
level: "info"
file: "/logs/worker.log"
# Metrics
metrics:
enabled: true
endpoint: ":9100"

View file

@ -0,0 +1,79 @@
# Worker configuration for Homelab secure environment
worker_id: "homelab-secure-worker-1"
# Redis configuration with connection pooling
redis:
url: "redis://redis:6379"
max_connections: 10
connection_timeout: "10s"
read_timeout: "5s"
write_timeout: "5s"
# Local mode disabled for containerized execution
local_mode: false
# Job paths with security considerations
base_path: "/tmp/fetchml-jobs"
container_workspace: "/workspace"
container_results: "/results"
# Podman settings with resource limits
podman_image: "python:3.11-slim"
podman_cpus: "2"
podman_memory: "4g"
podman_network: "ml-job-network"
podman_timeout: "30m"
# Worker configuration with security
heartbeat_interval: "30s"
lease_duration: "5m"
max_concurrent_tasks: 2
task_timeout: "30m"
# Data manager settings
data_manager:
enabled: true
base_path: "/data"
encryption_enabled: true
backup_enabled: true
# SSH settings with secure configuration
ssh:
enabled: true
host: "localhost"
port: 2222
user: "worker"
password: "HomelabWorker2024!"
key_path: "/home/worker/.ssh/id_rsa"
max_retries: 3
connection_timeout: "30s"
strict_host_key_checking: false
# Logging with rotation and security
logging:
level: "info"
file: "/logs/worker.log"
max_size: "50MB"
max_backups: 5
compress: true
audit_enabled: true
# Metrics and monitoring
metrics:
enabled: true
endpoint: ":9100"
path: "/metrics"
# Security settings
security:
enable_job_isolation: true
sandbox_enabled: true
resource_monitoring: true
audit_commands: true
# Health check configuration
health_check:
enabled: true
interval: "30s"
timeout: "10s"
failure_threshold: 3

View file

@ -20,6 +20,12 @@ container_workspace = "/workspace"
container_results = "/results" container_results = "/results"
train_script = "train.py" train_script = "train.py"
[resources]
max_workers = 4
desired_rps_per_worker = 2
podman_cpus = "4"
podman_memory = "16g"
# Dataset management # Dataset management
auto_fetch_data = true auto_fetch_data = true
data_dir = "/data/datasets" data_dir = "/data/datasets"

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@ -0,0 +1,104 @@
# Homelab Secure Docker Environment
services:
redis:
image: redis:7-alpine
container_name: ml-homelab-redis
ports:
- "6379:6379"
volumes:
- redis_homelab_data:/data
restart: unless-stopped
command: >
redis-server
--appendonly yes
--requirepass "HomelabRedis2024!"
--maxmemory 512mb
--maxmemory-policy allkeys-lru
healthcheck:
test: ["CMD", "redis-cli", "-a", "HomelabRedis2024!", "ping"]
interval: 30s
timeout: 10s
retries: 3
networks:
- ml-homelab-network
api-server:
build:
context: .
dockerfile: build/docker/homelab-secure.Dockerfile
container_name: ml-homelab-api
ports:
- "9104:9101" # API server port
- "2223:2222" # Secure SSH port
- "9101:9100" # Prometheus metrics
volumes:
- ./data:/app/data/experiments
- ./logs:/logs
- ./configs/config-homelab-secure.yaml:/app/configs/config.yaml
depends_on:
redis:
condition: service_healthy
restart: unless-stopped
environment:
- REDIS_URL=redis://:HomelabRedis2024!@redis:6379
- LOG_LEVEL=info
- TZ=America/New_York
healthcheck:
test: ["CMD", "curl", "-k", "-f", "https://localhost:9101/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
command: >
sh -c "
sudo /app/start-security.sh &
/usr/local/bin/api-server -config /app/configs/config.yaml
"
networks:
- ml-homelab-network
worker:
build:
context: .
dockerfile: build/docker/homelab-secure.Dockerfile
container_name: ml-homelab-worker
volumes:
- ./data:/app/data/experiments
- ./logs:/logs
- ./configs/worker-homelab-secure.yaml:/app/configs/worker.yaml
depends_on:
redis:
condition: service_healthy
api-server:
condition: service_healthy
restart: unless-stopped
environment:
- REDIS_URL=redis://:HomelabRedis2024!@redis:6379
- LOG_LEVEL=info
- TZ=America/New_York
privileged: true # Required for Podman
security_opt:
- no-new-privileges:true
cap_drop:
- ALL
cap_add:
- NET_ADMIN
- SYS_ADMIN
command: >
sh -c "
sudo /app/start-security.sh &
/usr/local/bin/worker -config /app/configs/worker.yaml
"
networks:
- ml-homelab-network
volumes:
redis_homelab_data:
driver: local
networks:
ml-homelab-network:
driver: bridge
ipam:
config:
- subnet: 172.25.0.0/16

74
docker-compose.prod.yml Normal file
View file

@ -0,0 +1,74 @@
# Full Production Docker Environment with Podman and SQLite
services:
redis:
image: redis:7-alpine
container_name: ml-prod-redis
ports:
- "6379:6379"
volumes:
- redis_prod_data:/data
restart: unless-stopped
command: redis-server --appendonly yes
healthcheck:
test: [ "CMD", "redis-cli", "ping" ]
interval: 30s
timeout: 10s
retries: 3
api-server:
build:
context: .
dockerfile: build/docker/secure-prod.Dockerfile
container_name: ml-prod-api
ports:
- "9103:9101" # API server port
- "2222:2222" # Secure SSH port for Podman communication
- "9100:9100" # Prometheus metrics
volumes:
- ./data:/app/data/experiments
- ./logs:/logs
- ./configs/config-multi-user.yaml:/app/configs/config.yaml
depends_on:
redis:
condition: service_healthy
restart: unless-stopped
environment:
- REDIS_URL=redis://redis:6379
- LOG_LEVEL=info
healthcheck:
test: [ "CMD", "curl", "-k", "https://localhost:9101/health" ]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
# Start SSH daemon for Podman communication
command: ["/usr/local/bin/api-server", "-config", "/app/configs/config.yaml"]
worker:
build:
context: .
dockerfile: build/docker/secure-prod.Dockerfile
container_name: ml-prod-worker
volumes:
- ./data:/app/data/experiments
- ./logs:/logs
- ./configs/worker-docker.yaml:/app/configs/worker.yaml
depends_on:
redis:
condition: service_healthy
api-server:
condition: service_healthy
restart: unless-stopped
environment:
- REDIS_URL=redis://redis:6379
- LOG_LEVEL=info
privileged: true # Required for Podman to work in Docker
command: ["/usr/local/bin/worker", "-config", "/app/configs/worker.yaml"]
volumes:
redis_prod_data:
driver: local
networks:
default:
name: ml-prod-network

View file

@ -72,8 +72,7 @@ services:
volumes: volumes:
- grafana_data:/var/lib/grafana - grafana_data:/var/lib/grafana
- ./monitoring/grafana/provisioning:/etc/grafana/provisioning - ./monitoring/grafana/provisioning:/etc/grafana/provisioning
- ./monitoring/grafana-dashboard.json:/var/lib/grafana/dashboards/ml-queue.json - ./monitoring/dashboards:/var/lib/grafana/dashboards
- ./monitoring/logs-dashboard.json:/var/lib/grafana/dashboards/logs.json
environment: environment:
- GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD:-admin} - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD:-admin}
- GF_USERS_ALLOW_SIGN_UP=false - GF_USERS_ALLOW_SIGN_UP=false

View file

@ -45,6 +45,8 @@ nav:
url: "/contributing/" url: "/contributing/"
- title: "API Reference" - title: "API Reference"
url: "/api/" url: "/api/"
- title: "Performance Monitoring"
url: "/performance-monitoring/"
# Collections # Collections
collections: collections:

View file

@ -332,6 +332,28 @@
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ADR-001: Use Go for API Server
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Architecture Decisions
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<a href="../adr/ADR-001-use-go-for-api-server/" class="md-nav__link">
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ADR-001: Use Go for API Server
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<a href="../adr/ADR-002-use-sqlite-for-local-development/" class="md-nav__link">
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ADR-002: Use SQLite for Local Development
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<a href="../adr/ADR-003-use-redis-for-job-queue/" class="md-nav__link">
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ADR-003: Use Redis for Job Queue
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<li class="md-tabs__item">
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Architecture Decisions
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Architecture Decisions
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<a href="../adr/ADR-001-use-go-for-api-server/" class="md-nav__link">
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ADR-001: Use Go for API Server
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<a href="../adr/ADR-002-use-sqlite-for-local-development/" class="md-nav__link">
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ADR-002: Use SQLite for Local Development
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<a href="../adr/ADR-003-use-redis-for-job-queue/" class="md-nav__link">
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ADR-003: Use Redis for Job Queue
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<li class="md-tabs__item">
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Architecture Decisions
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Architecture Decisions
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<a href="../adr/ADR-001-use-go-for-api-server/" class="md-nav__link">
<span class="md-ellipsis">
ADR-001: Use Go for API Server
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<a href="../adr/ADR-002-use-sqlite-for-local-development/" class="md-nav__link">
<span class="md-ellipsis">
ADR-002: Use SQLite for Local Development
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<a href="../adr/ADR-003-use-redis-for-job-queue/" class="md-nav__link">
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ADR-003: Use Redis for Job Queue
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<li class="md-tabs__item">
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Architecture Decisions
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Architecture Decisions
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Architecture Decisions
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<li class="md-nav__item">
<a href="../adr/ADR-001-use-go-for-api-server/" class="md-nav__link">
<span class="md-ellipsis">
ADR-001: Use Go for API Server
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<li class="md-nav__item">
<a href="../adr/ADR-002-use-sqlite-for-local-development/" class="md-nav__link">
<span class="md-ellipsis">
ADR-002: Use SQLite for Local Development
</span>
</a>
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<a href="../adr/ADR-003-use-redis-for-job-queue/" class="md-nav__link">
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ADR-003: Use Redis for Job Queue
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Architecture Decisions
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Architecture Decisions
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<a href="adr/ADR-001-use-go-for-api-server/" class="md-nav__link">
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ADR-001: Use Go for API Server
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</li>
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<a href="adr/ADR-002-use-sqlite-for-local-development/" class="md-nav__link">
<span class="md-ellipsis">
ADR-002: Use SQLite for Local Development
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<li class="md-nav__item">
<a href="adr/ADR-003-use-redis-for-job-queue/" class="md-nav__link">
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ADR-003: Use Redis for Job Queue
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<li class="md-tabs__item">
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Architecture Decisions
</a>
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Architecture Decisions
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Architecture Decisions
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<a href="../adr/ADR-001-use-go-for-api-server/" class="md-nav__link">
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ADR-001: Use Go for API Server
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<a href="../adr/ADR-002-use-sqlite-for-local-development/" class="md-nav__link">
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ADR-002: Use SQLite for Local Development
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<li class="md-nav__item">
<a href="../adr/ADR-003-use-redis-for-job-queue/" class="md-nav__link">
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ADR-003: Use Redis for Job Queue
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