Add Go agent for system and container metrics collection #53
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Important Review skippedBot user detected. To trigger a single review, invoke the You can disable this status message by setting the WalkthroughIntroduces a complete agent-based metrics collection system: a Go application ( Changes
Sequence DiagramsequenceDiagram
participant Agent as Agent Process
participant System as System Collector
participant Docker as Docker Collector
participant HTTP as HTTP Transport
participant Backend as Backend API
participant DB as Database
Agent->>Agent: Load config & init ID
Agent->>Agent: Setup signal handlers
Agent->>Agent: Periodic timer loop
Agent->>System: CollectSystemMetrics()
System-->>Agent: SystemMetrics
Agent->>Docker: CollectDockerMetrics()
Docker-->>Agent: []ContainerMetrics
Agent->>Agent: Build AgentMetrics payload
Agent->>HTTP: Send(metrics)
HTTP->>HTTP: Marshal to JSON
HTTP->>Backend: POST /api/trpc/metrics.ingest
rect rgb(200, 220, 230)
note over Backend: Validate agentId
note over Backend: Create SystemMetric with<br/>nested ContainerMetrics
end
Backend->>DB: Prisma create (systemMetric + containerMetrics)
DB-->>Backend: Created records
Backend-->>HTTP: Response (success, ids, count)
HTTP-->>Agent: Response received
Agent->>Agent: Log metrics & sleep(interval)
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45–60 minutes Areas requiring extra attention:
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- Created Go agent application under apps/agent/ - Implemented system metrics collection (CPU, memory, disk, network, load, processes) - Implemented Docker container metrics collection via Docker SDK - Added SystemMetric and ContainerMetric models to Prisma schema with individual fields - Created metrics tRPC router with ingest, list, latest, and listAgents procedures - Agent sends metrics to tRPC endpoint at /api/trpc/metrics.ingest - Added comprehensive tests for metrics router - Static Go binary with no CGO dependencies Co-authored-by: SimonLoir <17649337+SimonLoir@users.noreply.github.com>
- Add length check before slicing container ID to prevent panic - Remove non-null assertion in metrics pagination - Add basic validation for agent ID in ingest endpoint - Document need for proper API key authentication system Co-authored-by: SimonLoir <17649337+SimonLoir@users.noreply.github.com>
- Created multi-arch build workflow for linux/amd64 and linux/arm64 - Images published to ghcr.io/seastackapp/agent - Tagged with 'latest' and commit SHA - Updated agent README with Docker image information - Simplified Dockerfile (removed ca-certificates as static binary doesn't need them) Co-authored-by: SimonLoir <17649337+SimonLoir@users.noreply.github.com>
- Add z.number().int() validation for processCount to match Go int type - Remove hardcoded GOARCH from Dockerfile to support multi-arch builds - Docker BuildKit automatically sets TARGETARCH for the target platform Co-authored-by: SimonLoir <17649337+SimonLoir@users.noreply.github.com>
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Actionable comments posted: 9
🧹 Nitpick comments (8)
apps/agent/Dockerfile (1)
18-32: Consider adding a health check.Adding a
HEALTHCHECKinstruction would enable container orchestrators to monitor agent health and restart it if necessary.Add a health check if the agent exposes a health endpoint, or consider implementing one:
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ CMD ["/app/agent", "--health-check"] || exit 1apps/agent/internal/collector/system.go (1)
14-61: Simplify return signature.The function always returns
nilas the error, making the error return value redundant. Consider either returning actual errors or changing the signature to return onlytypes.SystemMetrics.If errors should be propagated:
-func CollectSystemMetrics() (types.SystemMetrics, error) { +func CollectSystemMetrics() (types.SystemMetrics, error) { var metrics types.SystemMetrics + var collectionErrors []error // CPU percentage cpuPercents, err := cpu.Percent(0, false) - if err == nil && len(cpuPercents) > 0 { + if err != nil { + collectionErrors = append(collectionErrors, fmt.Errorf("cpu: %w", err)) + } else if len(cpuPercents) > 0 { metrics.CPUPercent = cpuPercents[0] } + // ... similar for other metrics ... + + if len(collectionErrors) > 0 { + return metrics, fmt.Errorf("collection errors: %v", collectionErrors) + } return metrics, nil }.github/workflows/build-and-push-agent-image.yml (1)
7-9: Workflow includes its own path in trigger pattern.Including the workflow file itself in the
pathstrigger can cause recursive builds if the workflow is modified, though GitHub has protections against this.This is typically safe due to GitHub's built-in protections, but you may want to be explicit:
paths: - 'apps/agent/**' - '!.github/workflows/build-and-push-agent-image.yml'Or simply remove the workflow path from triggers if self-modification shouldn't trigger builds.
apps/agent/cmd/agent/main.go (2)
97-101: Consider exponential backoff for repeated send failures.If the backend is down or unreachable, the agent will continue attempting to send metrics every interval without backoff, potentially overwhelming the backend when it recovers.
Implement exponential backoff to reduce load during outages:
// Add to main() after transport creation var consecutiveFailures int const maxBackoffInterval = 300 // 5 minutes // In collectAndSend or main loop if err := tp.Send(ctx, metrics); err != nil { consecutiveFailures++ backoffSeconds := min(interval * (1 << consecutiveFailures), maxBackoffInterval) log.Printf("Error sending metrics (failure %d): %v. Next attempt in %d seconds", consecutiveFailures, err, backoffSeconds) time.Sleep(time.Duration(backoffSeconds) * time.Second) } else { consecutiveFailures = 0 log.Printf("Successfully sent metrics to backend") }
50-65: Ticker may drift if collection takes longer than interval.Using a
time.Tickermeans collections fire at fixed intervals regardless of how longcollectAndSendtakes. If collection exceeds the interval, the agent will start falling behind.Consider using
time.Sleepafter each collection to ensure spacing between collection end and next start:- // Collection ticker - ticker := time.NewTicker(time.Duration(interval) * time.Second) - defer ticker.Stop() - // Collect and send metrics immediately on startup collectAndSend(ctx, agentID, tp) // Main loop for { select { - case <-ticker.C: + case <-time.After(time.Duration(interval) * time.Second): collectAndSend(ctx, agentID, tp) case sig := <-sigCh: log.Printf("Received signal %v, shutting down...", sig) return } }apps/agent/go.mod (1)
3-3: Consider upgrading to Go 1.25.5.Go 1.24.10 is a valid release, but the latest stable version is Go 1.25.5 (released December 2, 2025). Consider upgrading if there are no compatibility constraints preventing the update.
packages/api/src/__tests__/routers/metrics.test.ts (1)
5-88: Ingest happy-path coverage looks solid; consider adding a negative testThe ingest test validates the response shape and that
systemMetric.createis called once with realistic metric data, which aligns well with the router behavior. You might optionally add a case for an invalid/emptyagentIdto exercise the error branch and keep tests aligned with the basic validation logic.packages/db/prisma/schema.prisma (1)
424-467: Models match the payloads; consider a composite index for query hot paths
SystemMetricandContainerMetricmirror the agent/router fields closely, and the relations + cascade delete are appropriate for metrics data. The individual indexes onagentId,timestamp,systemMetricId, andcontainerIdare a good start.Given that the main read paths filter by
agentIdand order bytimestamp(forlistandlatest), you might eventually benefit from a composite index like:@@index([agentId, timestamp])to avoid extra sorting at higher volumes. Not urgent, but worth considering if metrics data grows large.
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📒 Files selected for processing (15)
.github/workflows/build-and-push-agent-image.yml(1 hunks)apps/agent/.dockerignore(1 hunks)apps/agent/.gitignore(1 hunks)apps/agent/Dockerfile(1 hunks)apps/agent/README.md(1 hunks)apps/agent/cmd/agent/main.go(1 hunks)apps/agent/go.mod(1 hunks)apps/agent/internal/collector/docker.go(1 hunks)apps/agent/internal/collector/system.go(1 hunks)apps/agent/internal/transport/http.go(1 hunks)apps/agent/internal/types/metrics.go(1 hunks)packages/api/src/__tests__/routers/metrics.test.ts(1 hunks)packages/api/src/root.ts(2 hunks)packages/api/src/routers/metrics.ts(1 hunks)packages/db/prisma/schema.prisma(1 hunks)
🧰 Additional context used
🧬 Code graph analysis (7)
packages/api/src/__tests__/routers/metrics.test.ts (1)
packages/api/src/__tests__/utils/createCaller.ts (1)
createCaller(4-4)
packages/api/src/routers/metrics.ts (1)
packages/api/src/trpc.ts (2)
router(9-9)publicProcedure(11-11)
apps/agent/internal/collector/system.go (1)
apps/agent/internal/types/metrics.go (1)
SystemMetrics(6-20)
apps/agent/cmd/agent/main.go (5)
apps/agent/internal/transport/http.go (2)
NewHTTPTransport(22-30)HTTPTransport(15-19)packages/api/src/context.ts (1)
Context(21-21)apps/agent/internal/collector/system.go (1)
CollectSystemMetrics(14-61)apps/agent/internal/collector/docker.go (1)
CollectDockerMetrics(14-83)apps/agent/internal/types/metrics.go (3)
ContainerMetrics(23-33)AgentMetrics(36-41)SystemMetrics(6-20)
apps/agent/internal/collector/docker.go (1)
apps/agent/internal/types/metrics.go (1)
ContainerMetrics(23-33)
apps/agent/internal/transport/http.go (1)
apps/agent/internal/types/metrics.go (1)
AgentMetrics(36-41)
packages/api/src/root.ts (1)
packages/api/src/routers/metrics.ts (1)
metricsRouter(40-190)
🪛 markdownlint-cli2 (0.18.1)
apps/agent/README.md
105-105: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🔇 Additional comments (14)
apps/agent/README.md (2)
1-118: Documentation is clear and comprehensive.The README effectively covers features, configuration, build/run instructions, and project structure. The Docker setup guidance and multi-architecture support are well-documented. The mount instruction for
/var/run/docker.sock(line 101) is helpful.
31-31: No changes needed—documentation is accurate.The README correctly marks
AGENT_TOKENas required. The agent code enforces this requirement vialog.Fatal()when the token is missing (main.go lines 26-28), and the token is sent to the backend in all requests (http.go line 64). Token authentication is implemented and the documentation is consistent with the implementation.Likely an incorrect or invalid review comment.
apps/agent/.gitignore (1)
1-3: LGTM!The ignore patterns are appropriate for a Go agent project. Excluding
.envprevents accidental secret commits, andbin/and*.logkeep build artifacts and logs out of version control.apps/agent/.dockerignore (1)
1-3: LGTM!The Docker ignore patterns appropriately reduce build context size and prevent
.envsecrets from being copied into the Docker image layers.packages/api/src/root.ts (1)
14-14: LGTM!The metrics router integration follows the established pattern for other routers in this file.
Also applies to: 29-29
apps/agent/Dockerfile (1)
2-2: > Likely an incorrect or invalid review comment.apps/agent/cmd/agent/main.go (1)
26-28: Verify that AGENT_TOKEN is actually used in HTTP transport layer.The
AGENT_TOKENenvironment variable is required at startup, but based on the code shown, its actual usage in HTTP requests is not visible. Ensure the token is properly passed in request headers (e.g., as anAuthorizationheader) and validated on the backend before the agent can communicate with the server..github/workflows/build-and-push-agent-image.yml (1)
22-22: This runner is valid and officially supported by GitHub. Theubuntu-24.04-armrunner is a GitHub-hosted arm64 runner available for public repositories (generally available since August 2025) and paid plans. No changes needed.packages/api/src/__tests__/routers/metrics.test.ts (3)
91-132: List metrics test matches router contractThe
listtest verifies agent scoping and that only onefindManycall is made; this matches the router’s pagination shape and is sufficient for the current behavior.
134-187: Latest metrics tests cover both hit and miss pathsThe paired
latesttests (metric found vs. no metric) nicely exercise both branches of the router logic using simple mocks; no issues spotted.
189-208: listAgents test is consistent with mapped return shapeMocking
findManyto return{ agentId }records and asserting a flat string array keeps the test aligned with the router’slistAgentsreturn type.apps/agent/internal/collector/docker.go (1)
41-76: Stats decoding and resource cleanup are generally fineThe pattern of using a short timeout context for
ContainerStats, decoding a single stats frame, and closingstats.Bodyis reasonable and follows common Docker SDK usage. No correctness issues stand out here.packages/api/src/routers/metrics.ts (1)
4-172: Schemas and main procedures (ingest, list, latest) align with the agent payload and schemaThe Zod schemas match the Go agent’s JSON (field names and types), and the ingest/list/latest procedures map cleanly to the Prisma models and match the test expectations. The cursor-based pagination in
listand “latest metric per agent” behavior inlatestare implemented in a standard, readable way.apps/agent/internal/types/metrics.go (1)
5-41: Metric type definitions align with backend schemas and agent JSON
SystemMetrics,ContainerMetrics, andAgentMetricsuse camelCase JSON tags that line up with the TS/Zod schemas and Prisma models. Usingtime.TimeforTimestampkeeps encoding RFC3339 by default, which matches the API’sz.string().datetime()constraint. No issues here.
| func collectAndSend(ctx context.Context, agentID string, tp *transport.HTTPTransport) { | ||
| // Collect system metrics | ||
| systemMetrics, err := collector.CollectSystemMetrics() | ||
| if err != nil { | ||
| log.Printf("Error collecting system metrics: %v", err) | ||
| } | ||
|
|
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| // Collect Docker metrics | ||
| containerMetrics, err := collector.CollectDockerMetrics(ctx) | ||
| if err != nil { | ||
| log.Printf("Error collecting Docker metrics: %v", err) | ||
| // Continue with empty container metrics if Docker is not available | ||
| containerMetrics = []types.ContainerMetrics{} | ||
| } | ||
|
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| // Build payload | ||
| metrics := types.AgentMetrics{ | ||
| AgentID: agentID, | ||
| Timestamp: time.Now().UTC(), | ||
| SystemMetrics: systemMetrics, | ||
| ContainerMetrics: containerMetrics, | ||
| } | ||
|
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| // Log metrics as JSON (for debugging) | ||
| if jsonData, err := json.Marshal(metrics); err == nil { | ||
| log.Printf("Collected metrics: %s", string(jsonData)) | ||
| } | ||
|
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||
| // Send to backend | ||
| if err := tp.Send(ctx, metrics); err != nil { | ||
| log.Printf("Error sending metrics: %v", err) | ||
| } else { | ||
| log.Printf("Successfully sent metrics to backend") | ||
| } | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion | 🟠 Major
Add timeout for metrics collection and sending.
The collectAndSend function has no overall timeout, which could cause the agent to hang if collection or sending takes too long. While CollectDockerMetrics has internal timeouts, system metrics collection does not.
Wrap the entire function with a context timeout:
func collectAndSend(ctx context.Context, agentID string, tp *transport.HTTPTransport) {
+ // Set a timeout for the entire collection and send operation
+ ctx, cancel := context.WithTimeout(ctx, 30*time.Second)
+ defer cancel()
+
// Collect system metrics
systemMetrics, err := collector.CollectSystemMetrics()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| func collectAndSend(ctx context.Context, agentID string, tp *transport.HTTPTransport) { | |
| // Collect system metrics | |
| systemMetrics, err := collector.CollectSystemMetrics() | |
| if err != nil { | |
| log.Printf("Error collecting system metrics: %v", err) | |
| } | |
| // Collect Docker metrics | |
| containerMetrics, err := collector.CollectDockerMetrics(ctx) | |
| if err != nil { | |
| log.Printf("Error collecting Docker metrics: %v", err) | |
| // Continue with empty container metrics if Docker is not available | |
| containerMetrics = []types.ContainerMetrics{} | |
| } | |
| // Build payload | |
| metrics := types.AgentMetrics{ | |
| AgentID: agentID, | |
| Timestamp: time.Now().UTC(), | |
| SystemMetrics: systemMetrics, | |
| ContainerMetrics: containerMetrics, | |
| } | |
| // Log metrics as JSON (for debugging) | |
| if jsonData, err := json.Marshal(metrics); err == nil { | |
| log.Printf("Collected metrics: %s", string(jsonData)) | |
| } | |
| // Send to backend | |
| if err := tp.Send(ctx, metrics); err != nil { | |
| log.Printf("Error sending metrics: %v", err) | |
| } else { | |
| log.Printf("Successfully sent metrics to backend") | |
| } | |
| } | |
| func collectAndSend(ctx context.Context, agentID string, tp *transport.HTTPTransport) { | |
| // Set a timeout for the entire collection and send operation | |
| ctx, cancel := context.WithTimeout(ctx, 30*time.Second) | |
| defer cancel() | |
| // Collect system metrics | |
| systemMetrics, err := collector.CollectSystemMetrics() | |
| if err != nil { | |
| log.Printf("Error collecting system metrics: %v", err) | |
| } | |
| // Collect Docker metrics | |
| containerMetrics, err := collector.CollectDockerMetrics(ctx) | |
| if err != nil { | |
| log.Printf("Error collecting Docker metrics: %v", err) | |
| // Continue with empty container metrics if Docker is not available | |
| containerMetrics = []types.ContainerMetrics{} | |
| } | |
| // Build payload | |
| metrics := types.AgentMetrics{ | |
| AgentID: agentID, | |
| Timestamp: time.Now().UTC(), | |
| SystemMetrics: systemMetrics, | |
| ContainerMetrics: containerMetrics, | |
| } | |
| // Log metrics as JSON (for debugging) | |
| if jsonData, err := json.Marshal(metrics); err == nil { | |
| log.Printf("Collected metrics: %s", string(jsonData)) | |
| } | |
| // Send to backend | |
| if err := tp.Send(ctx, metrics); err != nil { | |
| log.Printf("Error sending metrics: %v", err) | |
| } else { | |
| log.Printf("Successfully sent metrics to backend") | |
| } | |
| } |
🤖 Prompt for AI Agents
In apps/agent/cmd/agent/main.go around lines 68 to 102, wrap the entire
collectAndSend operation in a child context with a timeout (e.g., 10s or a
configurable duration): create ctxWithTimeout, defer cancel(), and use
ctxWithTimeout when calling collector.CollectSystemMetrics,
collector.CollectDockerMetrics and tp.Send so the whole flow aborts if it
exceeds the timeout; check for context.DeadlineExceeded and return/log
appropriately, and ensure defer cancel() is called to free resources.
| // Log metrics as JSON (for debugging) | ||
| if jsonData, err := json.Marshal(metrics); err == nil { | ||
| log.Printf("Collected metrics: %s", string(jsonData)) | ||
| } |
There was a problem hiding this comment.
Sensitive data may be logged in production.
Logging the entire metrics payload as JSON on every collection can expose sensitive information (container names, images, network data) and produce excessive log volume in production.
Consider making this conditional on a debug flag:
- // Log metrics as JSON (for debugging)
- if jsonData, err := json.Marshal(metrics); err == nil {
- log.Printf("Collected metrics: %s", string(jsonData))
- }
+ // Log metrics as JSON (for debugging only)
+ if debug := os.Getenv("DEBUG"); debug != "" {
+ if jsonData, err := json.Marshal(metrics); err == nil {
+ log.Printf("Collected metrics: %s", string(jsonData))
+ }
+ }📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| // Log metrics as JSON (for debugging) | |
| if jsonData, err := json.Marshal(metrics); err == nil { | |
| log.Printf("Collected metrics: %s", string(jsonData)) | |
| } | |
| // Log metrics as JSON (for debugging only) | |
| if debug := os.Getenv("DEBUG"); debug != "" { | |
| if jsonData, err := json.Marshal(metrics); err == nil { | |
| log.Printf("Collected metrics: %s", string(jsonData)) | |
| } | |
| } |
🤖 Prompt for AI Agents
In apps/agent/cmd/agent/main.go around lines 91-94, the current code
unconditionally logs the full metrics JSON which can expose sensitive data and
create noisy logs; change this to only log the full JSON when a debug flag or
environment variable is enabled (e.g., --debug or AGENT_DEBUG), and otherwise
either omit the log entirely or log a minimal, non-sensitive summary
(counts/timestamps) and/or a redacted version of metrics; ensure the code checks
the debug flag before json.Marshal and logging to avoid extra work in
production.
| var metrics []types.ContainerMetrics | ||
| for _, c := range containers { | ||
| // Get short container ID (first 12 characters) | ||
| shortID := c.ID | ||
| if len(c.ID) > 12 { | ||
| shortID = c.ID[:12] | ||
| } | ||
|
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| m := types.ContainerMetrics{ | ||
| ContainerID: shortID, | ||
| Name: c.Names[0], // Names is a slice, take first | ||
| Image: c.Image, | ||
| State: c.State, | ||
| } |
There was a problem hiding this comment.
Guard against potential panic when accessing c.Names[0]
c.Names[0] assumes there is always at least one name for every container. If Docker ever returns an empty Names slice, this will panic and kill the agent.
Consider a defensive fallback, e.g. using the short ID when no names are present:
- m := types.ContainerMetrics{
- ContainerID: shortID,
- Name: c.Names[0], // Names is a slice, take first
- Image: c.Image,
- State: c.State,
- }
+ name := shortID
+ if len(c.Names) > 0 {
+ name = c.Names[0]
+ }
+
+ m := types.ContainerMetrics{
+ ContainerID: shortID,
+ Name: name,
+ Image: c.Image,
+ State: c.State,
+ }You could also preallocate metrics with make([]types.ContainerMetrics, 0, len(containers)) for a tiny perf win, though that’s optional.
🤖 Prompt for AI Agents
In apps/agent/internal/collector/docker.go around lines 26 to 39, guard the
access to c.Names[0] to avoid a possible panic when Names is empty: check
len(c.Names) > 0 and use c.Names[0] when present, otherwise fall back to the
computed shortID (or an empty string) for the Name field; also preallocate the
metrics slice with make([]types.ContainerMetrics, 0, len(containers)) for a
small performance improvement.
| // CPU percentage | ||
| cpuPercents, err := cpu.Percent(0, false) | ||
| if err == nil && len(cpuPercents) > 0 { | ||
| metrics.CPUPercent = cpuPercents[0] | ||
| } |
There was a problem hiding this comment.
🧩 Analysis chain
🌐 Web query:
gopsutil cpu.Percent interval parameter documentation
💡 Result:
Summary: cpu.Percent takes interval time.Duration. If interval > 0 it measures usage over that interval (blocking). If interval == 0 it compares current CPU times against the last call (non-blocking, uses previous snapshot). It returns one value per CPU (or a single value when percpu is false). [1][2]
Sources:
[1] pkg.go.dev documentation for github.com/shirou/gopsutil/v4/cpu (Percent).
[2] shirou/gopsutil GitHub repository.
🏁 Script executed:
# Check the actual function signature and imports in the file
cd apps/agent/internal/collector
head -30 system.goRepository: SeaStackApp/sea-stack-app
Length of output: 942
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# Search for how cpu.Percent is used elsewhere in the codebase
rg "cpu\.Percent" --type go -A 2 -B 2Repository: SeaStackApp/sea-stack-app
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🌐 Web query:
gopsutil v3 cpu.Percent function signature time.Duration interval
💡 Result:
Signature (gopsutil v3 cpu.Percent):
func Percent(interval time.Duration, percpu bool) ([]float64, error)
- interval is a time.Duration: if 0 it compares to the last call; if >0 it sleeps for that interval and measures over it. [1][2]
Sources:
[1] pkg.go.dev (gopsutil v3 cpu).
[2] shirou/gopsutil GitHub README.
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rg "import" apps/agent/internal/collector/system.go -A 10Repository: SeaStackApp/sea-stack-app
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# Look at more of the system.go file to understand context
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tail -n +14 apps/agent/internal/collector/system.go | head -50Repository: SeaStackApp/sea-stack-app
Length of output: 1444
Use a non-zero interval for accurate CPU metrics, but consider performance implications.
Calling cpu.Percent(0, false) with interval=0 returns immediately using a cached snapshot, which may return inaccurate values on the first call. However, adding a 1-second blocking interval in a metrics collector that runs repeatedly is impractical—it would delay collection cycles significantly.
Instead, either:
- Initialize CPU monitoring during application startup to ensure a baseline snapshot exists before collection
- Use a smaller non-blocking interval if the tradeoff is acceptable
- Document that the first CPU reading may be inaccurate and handle it gracefully in consumers
- Skip the first collected value to allow the snapshot to stabilize
Also note: time package is not currently imported, so the proposed fix would require adding that import.
🤖 Prompt for AI Agents
In apps/agent/internal/collector/system.go around lines 17-21, the current
cpu.Percent(0, false) call returns a cached snapshot and can be inaccurate on
first call; to fix this, prime the CPU snapshot at application startup by
launching a non-blocking goroutine (e.g., in init or startup code) that calls
cpu.Percent with a short interval like 1*time.Second and discards the result so
subsequent immediate calls return accurate values, and add the time import
required for the interval call; alternatively, implement a simple package-level
flag to skip the very first collector reading and mark it as warmed after the
priming goroutine completes.
| // Network stats | ||
| netStats, err := net.IOCounters(false) | ||
| if err == nil && len(netStats) > 0 { | ||
| metrics.NetworkRxMB = float64(netStats[0].BytesRecv) / (1024 * 1024) | ||
| metrics.NetworkTxMB = float64(netStats[0].BytesSent) / (1024 * 1024) | ||
| } |
There was a problem hiding this comment.
Network metrics are cumulative totals, not rates.
net.IOCounters() returns cumulative byte counters since boot, not per-interval rates. These values will grow monotonically and may not be meaningful for monitoring without calculating deltas between collections.
Consider tracking previous values and computing deltas, or document that these are cumulative totals:
// Network stats (cumulative since boot)
netStats, err := net.IOCounters(false)
if err == nil && len(netStats) > 0 {
// TODO: Calculate rate by storing previous values
metrics.NetworkRxMB = float64(netStats[0].BytesRecv) / (1024 * 1024)
metrics.NetworkTxMB = float64(netStats[0].BytesSent) / (1024 * 1024)
}| // tRPC request format | ||
| type trpcRequest struct { | ||
| Input json.RawMessage `json:"input"` | ||
| } | ||
|
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| // Send sends metrics to the backend via tRPC | ||
| func (t *HTTPTransport) Send(ctx context.Context, metrics types.AgentMetrics) error { | ||
| // Marshal the metrics as the input | ||
| inputData, err := json.Marshal(metrics) | ||
| if err != nil { | ||
| return fmt.Errorf("failed to marshal metrics: %w", err) | ||
| } | ||
|
|
||
| // Wrap in tRPC format | ||
| trpcData := trpcRequest{ | ||
| Input: inputData, | ||
| } | ||
|
|
||
| data, err := json.Marshal(trpcData) | ||
| if err != nil { | ||
| return fmt.Errorf("failed to marshal tRPC request: %w", err) | ||
| } | ||
|
|
||
| // tRPC endpoint: /api/trpc/metrics.ingest | ||
| url := t.backendURL + "/api/trpc/metrics.ingest" | ||
|
|
||
| req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(data)) | ||
| if err != nil { | ||
| return fmt.Errorf("failed to create request: %w", err) | ||
| } | ||
|
|
||
| req.Header.Set("Content-Type", "application/json") | ||
| req.Header.Set("Authorization", "Bearer "+t.agentToken) | ||
|
|
||
| resp, err := t.client.Do(req) | ||
| if err != nil { | ||
| return fmt.Errorf("failed to send request: %w", err) | ||
| } | ||
| defer resp.Body.Close() | ||
|
|
||
| if resp.StatusCode < 200 || resp.StatusCode >= 300 { | ||
| return fmt.Errorf("unexpected status code: %d", resp.StatusCode) | ||
| } | ||
|
|
||
| return nil |
There was a problem hiding this comment.
🧩 Analysis chain
🌐 Web query:
tRPC v11 HTTP POST request body format for mutations single non-batched
💡 Result:
For a single (non-batched) mutation tRPC v11 sends a JSON POST body with these fields:
Example body:
{
"type": "mutation",
"path": "your.router.procedure",
"input": { /* your procedure input */ },
"context": {}, // optional (often empty)
"id": null // or a client id if used
}
Sources: tRPC v11 docs and protocol examples. [1][2][3]
References
[1] tRPC v11 announcement — non-JSON/FormData support.
[2] HTTP RPC specification (methods → POST = mutation).
[3] Example request payload showing type/path/input/id.
🌐 Web query:
tRPC Next.js HTTP handler /api/trpc endpoint request format
💡 Result:
Short summary — how tRPC's Next.js HTTP handler expects requests to /api/trpc
-
Single query (GET): call the procedure via pathname = /api/trpc/. with the input JSON-stringified in the input query param. Example: GET /api/trpc/post.byId?input=%5B%221%22%5D (input is encodeURIComponent(JSON.stringify(input))). Responses are JSON. [1][2]
-
Mutation (POST): call the procedure by POSTing to /api/trpc/. with the input as the request body (JSON). Use Content-Type: application/json. [1][2]
-
Batching: multiple parallel calls are sent in one request. The called procedure names are combined (comma-separated) in the pathname, you add batch=1 as a query param, and the input query param is a JSON object whose keys are numeric indices mapping to each call's input (i.e. input = encodeURIComponent(JSON.stringify({0: , 1: , ...}))). Server may return 207 Multi-Status when results have mixed statuses. (Clients usually use httpBatchLink/httpLink which builds this format automatically.) [1][3]
-
Next.js App Router (route handlers): use the fetch adapter / fetchRequestHandler (or createNextApiHandler for Pages router) — the adapters implement the HTTP semantics above. [4]
Sources
- tRPC HTTP RPC / batching docs. [1]
- tRPC Next.js setup / httpLink/httpBatchLink docs. [2][3]
- tRPC Next.js adapter / fetchRequestHandler (App Router) docs. [4]
References
[1] tRPC — HTTP RPC specification / batching.
[2] tRPC — httpBatchLink / client Next.js usage.
[3] tRPC docs (v10/v11) — httpBatchLink & request batching examples.
[4] tRPC — Next.js adapter / fetchRequestHandler (route handlers).
🌐 Web query:
tRPC v11 HTTP POST body "input" field only format without type path
💡 Result:
Short answer: You can. For a single POST to a specific procedure endpoint (e.g. /api/trpc/post.byId) tRPC v11 expects the request body to be the procedure input (not a wrapper with type/path). Use the appropriate Content-Type (application/json for JSON input, FormData / octet types for non-JSON inputs). See the HTTP RPC docs and non-JSON content-types guide. [1][2][3]
References:
- HTTP RPC specification (methods / POST body = mutation input). [1]
- Non-JSON content types (FormData / File / octetInputParser examples). [2]
- "Writing a tiny tRPC client" (shows single-call POST body usage). [3]
Sources:
[1] https://trpc.io/docs/rpc
[2] https://trpc.io/docs/server/non-json-content-types
[3] https://trpc.io/blog/tinyrpc-client
🌐 Web query:
tRPC metrics.ingest procedure HTTP body format example
💡 Result:
Short answer
- Endpoint: POST to /v1/metrics (OTLP) — e.g. Dynatrace: https://{env}.live.dynatrace.com/api/v2/otlp/v1/metrics. Content-Type: application/x-protobuf. Body: binary Protobuf-encoded opentelemetry.proto.collector.metrics.v1.ExportMetricsServiceRequest. [1][2]
Minimal JSON-equivalent of the ExportMetricsServiceRequest (for readability — the actual HTTP body must be protobuf binary or protobuf-json if the server accepts JSON):
{
"resource_metrics": [
{
"resource": {
"attributes": [
{ "key":"service.name", "value": {"string_value":"my-service"} }
]
},
"scope_metrics": [
{
"scope": { "name":"example.scope","version":"1.0" },
"metrics": [
{
"name": "requests.count",
"description": "request count",
"unit": "1",
"sum": {
"data_points": [
{ "attributes": [], "start_time_unix_nano": 1690000000000000000, "time_unix_nano": 1690000001000000000, "as_double": 42.0 }
],
"aggregation_temporality": 2,
"is_monotonic": true
}
}
]
}
]
}
]
}
Notes:
- Replace timestamps and metric fields as needed; the JSON above maps to the protobuf message structure defined by OpenTelemetry (ExportMetricsServiceRequest -> ResourceMetrics -> ScopeMetrics -> Metric -> Sum/Gauge/etc.). Send the protobuf binary encoded message in the POST body (or gzip it with Content-Encoding: gzip). [1][2]
References
[1] Dynatrace — OpenTelemetry metrics ingest API (requires metrics.ingest token; body is ExportMetricsServiceRequest in binary protobuf).
[2] OpenTelemetry OTLP spec — /v1/metrics uses ExportMetricsServiceRequest (Protobuf binary or JSON Protobuf).
Fix tRPC HTTP body format—remove unnecessary input wrapper
For tRPC v11, when POSTing to a specific procedure endpoint like /api/trpc/metrics.ingest, the request body should be the procedure input directly, not wrapped in { "input": ... }. The code currently sends:
{ "input": { /* AgentMetrics */ } }But tRPC v11 expects:
{ /* AgentMetrics */ }Remove the trpcRequest struct and send inputData (the marshaled metrics) directly as the request body.
🤖 Prompt for AI Agents
In apps/agent/internal/transport/http.go around lines 32 to 76, the code
currently wraps the marshaled metrics in a trpcRequest ({ "input": ... }) which
produces an incorrect tRPC v11 body; remove the trpcRequest struct and the
second json.Marshal so the POST body is the marshaled metrics (inputData)
directly, and create the HTTP request using bytes.NewBuffer(inputData) (keeping
headers and URL the same).
|
|
||
| ## Project Structure | ||
|
|
||
| ``` |
There was a problem hiding this comment.
Add language identifier to fenced code block.
The code block starting at line 105 is missing a language specifier. Use a language identifier that accurately describes the content (e.g., plaintext for directory tree structures).
-```
+```plaintext
apps/agent/
├── cmd/agent/main.go # Application entry point🧰 Tools
🪛 markdownlint-cli2 (0.18.1)
105-105: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🤖 Prompt for AI Agents
In apps/agent/README.md around line 105 the fenced code block is missing a
language identifier; update the opening triple-backticks to include an
appropriate language tag (e.g., "plaintext") so the block becomes ```plaintext
and the directory tree renders with correct syntax highlighting/formatting in
markdown viewers.
| listAgents: publicProcedure.query(async ({ ctx }) => { | ||
| const agents = await ctx.prisma.systemMetric.findMany({ | ||
| select: { | ||
| agentId: true, | ||
| }, | ||
| distinct: ['agentId'], | ||
| orderBy: { | ||
| timestamp: 'desc', | ||
| }, | ||
| }); | ||
|
|
||
| return agents.map((a) => a.agentId); | ||
| }), |
There was a problem hiding this comment.
🧩 Analysis chain
🌐 Web query:
Prisma findMany distinct orderBy timestamp invalid error PostgreSQL
💡 Result:
Short answer
Postgres requires any ORDER BY expression to appear in the SELECT list when using SELECT DISTINCT, so ordering by a timestamp that isn't part of the distinct selection triggers the error. Prisma/FindMany can run into the same restriction — the fix is to either include the ordering column in the selected/distinct set, use a grouping/aggregation, or do the distinct-selection in a subquery (or use a raw query / DISTINCT ON). (prisma.io)
Details + options
- Why it happens: Postgres enforces that for SELECT DISTINCT the ORDER BY expressions must be present in the SELECT list (or you must use DISTINCT ON with matching leftmost ORDER BY expressions). This is a SQL/Postgres rule, not a Prisma bug. (postgresql.org)
- Prisma docs: Prisma’s distinct is for findMany and affects deduplication; when SQL semantics require columns in SELECT for ORDER BY, you must change the query shape. (prisma.io)
Workarounds
- Include the timestamp in distinct/select so ORDER BY uses a selected column.
- Use GROUP BY / aggregate (e.g., ORDER BY MIN(timestamp) or MAX(timestamp)) to get a deterministic order per group.
- Select distinct ids (or distinct on key) in a subquery ordered by timestamp, then fetch full rows by those ids. Example pattern: subquery returns distinct ids ordered by timestamp → outer query selects * WHERE id IN (subquery) preserving order.
- Use PostgreSQL DISTINCT ON with a raw query if you need “first row per group ordered by timestamp”.
- Use Prisma’s groupBy or raw SQL when Prisma’s findMany API can’t express the SQL you need. (stackoverflow.com)
If you paste the Prisma query and schema (model fields and the exact error text), I’ll convert it to a working Prisma query or show the exact raw SQL/subquery you should use.
Citations:
- 1: https://www.prisma.io/docs/orm/prisma-client/queries/aggregation-grouping-summarizing?utm_source=openai
- 2: https://www.postgresql.org/docs/12/sql-select.htm?utm_source=openai
- 3: https://www.prisma.io/docs/orm/prisma-client/queries/aggregation-grouping-summarizing?utm_source=openai
- 4: https://stackoverflow.com/questions/12693089/pgerror-select-distinct-order-by-expressions-must-appear-in-select-list?utm_source=openai
🌐 Web query:
Prisma distinct and orderBy field not in select documentation
💡 Result:
Short answer: Prisma's docs don't state a blanket rule that an orderBy/distinct field must appear in select — but they explain how distinct works (it does in-memory post-processing and is often used with select) and that groupBy/by fields are always returned. In practice SQL engines sometimes require ORDER BY items to appear in the SELECT list when using DISTINCT, and Prisma's behavior (including implicit ORDER BYs and related issues) is discussed in the docs and GitHub issues.
Relevant docs:
- Prisma "Select distinct" and explanation that distinct uses a SELECT plus in‑memory post‑processing (examples showing distinct with orderBy + select). (prisma.io)
- Prisma "Select fields" (how select works and relation to returned fields). (prisma.io)
- General CRUD reference (distinct documented on findMany). (prisma.io)
Related discussion/issues (examples of ordering/distinct/implicit ORDER BY behavior): GitHub issues in the Prisma repo. (github.com)
If you want, I can:
- find the exact DB-specific SQL rule for ORDER BY + DISTINCT for your database (Postgres/MySQL/SQL Server), or
- show a concrete Prisma example and how to ensure the orderBy field is returned in results. Which would you prefer?
Citations:
- 1: https://www.prisma.io/docs/orm/prisma-client/queries/aggregation-grouping-summarizing?utm_source=openai
- 2: https://www.prisma.io/docs/orm/prisma-client/queries/select-fields?utm_source=openai
- 3: https://www.prisma.io/docs/orm/reference/prisma-client-reference?utm_source=openai
- 4:
orderBy_countdoes not respectwhereclause inselectwhen using relations prisma/prisma#14598
🌐 Web query:
Prisma "distinct" "orderBy" "must appear in the select or groupBy" error
💡 Result:
Cause: PostgreSQL (and some engines) requires any expression used in ORDER BY when a SELECT DISTINCT is applied to also appear in the SELECT list (or be part of the GROUP BY). Prisma queries that combine distinct + orderBy can produce SQL that violates that rule, producing the error. See Prisma docs and SQL references. [1][2][3]
Fixes (pick one):
-
Include the orderBy field(s) in the select so they appear in the SELECT list:
Example:
const rows = await prisma.user.findMany({
distinct: ['email'],
select: { id: true, email: true, createdAt: true }, // include createdAt if ordering by it
orderBy: { createdAt: 'desc' }
});
This satisfies the DB rule. [1][3] -
Use groupBy when you need aggregation/unique groups (and order only by fields in by or aggregates):
prisma.user.groupBy({ by: ['email'], _max: { createdAt: true }, orderBy: { email: 'asc' } }). [1] -
Remove DISTINCT and deduplicate in the application (Prisma's distinct does client-side post-processing in many cases) or run a raw SQL query that expresses the desired logic (e.g., window functions: row_number() OVER (PARTITION BY ...) then filter). Use $queryRaw for complex queries. [1][4]
References
- Prisma docs — aggregation/grouping and distinct examples. [turn0search0]
- SQL / Postgres discussion: SELECT DISTINCT + ORDER BY expressions must appear in select list. (StackOverflow). [turn0search4]
- Explanation of PostgreSQL DISTINCT/ORDER BY behavior. (StackOverflow). [turn0search6]
- Prisma GitHub issues about implicit ORDER BY and related behavior. [turn0search3]
listAgents combination of distinct and orderBy timestamp is invalid on PostgreSQL
On PostgreSQL, when using SELECT DISTINCT, any ORDER BY expression must appear in the SELECT list. Your query:
const agents = await ctx.prisma.systemMetric.findMany({
select: { agentId: true },
distinct: ['agentId'],
orderBy: { timestamp: 'desc' },
});violates this rule because timestamp is neither selected nor part of the distinct set. This will fail at runtime with a PostgreSQL error.
Since the API only returns a list of agent IDs without documented ordering requirements, remove the orderBy:
- const agents = await ctx.prisma.systemMetric.findMany({
- select: {
- agentId: true,
- },
- distinct: ['agentId'],
- orderBy: {
- timestamp: 'desc',
- },
- });
+ const agents = await ctx.prisma.systemMetric.findMany({
+ select: {
+ agentId: true,
+ },
+ distinct: ['agentId'],
+ });If you do need "most recently seen agents first", use groupBy with an aggregate instead:
const agents = await ctx.prisma.systemMetric.groupBy({
by: ['agentId'],
_max: { timestamp: true },
orderBy: { _max: { timestamp: 'desc' } },
});🤖 Prompt for AI Agents
In packages/api/src/routers/metrics.ts around lines 177 to 189, the findMany
call uses distinct on agentId together with orderBy timestamp which is invalid
on PostgreSQL; either remove the orderBy to return unique agentIds (keep select:
{ agentId: true } and distinct: ['agentId']) or, if you need agents ordered by
most-recent timestamp, replace the findMany with a groupBy by ['agentId'] with
_max: { timestamp: true } and orderBy: { _max: { timestamp: 'desc' } }, then map
the result to return the agentId list.
Implements a Go agent that collects system and Docker container metrics, sending them to a tRPC backend endpoint. Metrics are stored in normalized database models with individual fields rather than JSON blobs.
Agent (
apps/agent/)/var/run/docker.sock){input: {...}})BACKEND_URL,AGENT_TOKEN,COLLECTION_INTERVAL_SECONDS,AGENT_IDBackend
SystemMetric(15 fields) andContainerMetric(9 fields) with proper relations and indexesmetrics.ingest,metrics.list,metrics.latest,metrics.listAgentsin tRPC/api/trpc/metrics.ingestCI/CD
apps/agent/**changesghcr.io/seastackapp/agent:latestand:<sha>Notes
Warning
Firewall rules blocked me from connecting to one or more addresses (expand for details)
I tried to connect to the following addresses, but was blocked by firewall rules:
checkpoint.prisma.io/usr/local/bin/node /usr/local/bin/node /home/REDACTED/work/sea-stack-app/sea-stack-app/node_modules/.pnpm/prisma@7.1.0_@types+react@19.2.0_react-dom@19.2.0_react@19.2.0__react@19.2.0_typescript@5.9.3/node_modules/prisma/build/child {"product":"prisma","version":"7.1.0","cli_install_type":"local","information":"","local_timestamp":"2025-12-07T00:43:49Z","project_hash":"c1ed741a","cli_path":"/home/REDACTED/work/sea-stack-app/sea-stack-app/packages/db/node_modules/prisma/build/index.js", e ortc�� obj.target/sshcrypto/src/binding.o ../src/binding.cc '\''-DNODE_GYP_MODULE_NAME=sshcrypto'\'' '\''-DUSING_UV_SHARED=1'\'' '\''-DUSING_V8_SHARED=1'\'' '\''-DV8_DEPRECATION_WARN x64/src/encoding-I de_modules/.pnpm/home/REDACTED/.cache/node-gyp/20.19.6/deps/openssl/config(dns block)/usr/local/bin/node /usr/local/bin/node /home/REDACTED/work/sea-stack-app/sea-stack-app/node_modules/.pnpm/prisma@7.1.0_@types+react@19.2.0_react-dom@19.2.0_react@19.2.0__react@19.2.0_typescript@5.9.3/node_modules/prisma/build/child {"product":"prisma","version":"7.1.0","cli_install_type":"local","information":"","local_timestamp":"2025-12-07T00:45:00Z","project_hash":"c1ed741a","cli_path":"/home/REDACTED/work/sea-stack-app/sea-stack-app/packages/db/node_modules/prisma/build/index.js", ortcfg -20 rc/stack_line_reader.o om/tklauser/go-sysconf@v0.3.12/s/home/REDACTED/.cache/node-gyp/20.19.6/deps/openssl/config de_modules/.bin/as(dns block)If you need me to access, download, or install something from one of these locations, you can either:
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