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feat(metrics): instrument success and failure rates of chunk broadcasting #235

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@hlolli hlolli commented Nov 15, 2024

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codecov bot commented Nov 15, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 68.50%. Comparing base (aef649f) to head (15e180f).

Additional details and impacted files
@@             Coverage Diff             @@
##           develop     #235      +/-   ##
===========================================
+ Coverage    68.46%   68.50%   +0.04%     
===========================================
  Files           33       33              
  Lines         8139     8151      +12     
  Branches       435      435              
===========================================
+ Hits          5572     5584      +12     
  Misses        2565     2565              
  Partials         2        2              

☔ View full report in Codecov by Sentry.
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coderabbitai bot commented Nov 15, 2024

📝 Walkthrough

Walkthrough

The pull request introduces enhancements to the ArweaveCompositeClient class, specifically in the broadcastChunk method, by adding metrics tracking for successful and failed broadcasts. It refines error handling for Axios errors, improving logging capabilities. Additionally, two new metrics counters are introduced in src/metrics.ts to track POST requests and successful broadcasts. The /chunk POST route in src/routes/arweave.ts is updated to integrate these metrics, allowing for better observability of the chunk broadcasting process without altering the existing control flow.

Changes

File Change Summary
src/arweave/composite-client.ts Enhanced broadcastChunk method to include metrics tracking for successful and failed broadcasts; refined error handling for Axios errors.
src/metrics.ts Added two new counters: arweaveChunkPostCounter for counting POST requests and arweaveChunkBroadcastCounter for counting successful broadcasts.
src/routes/arweave.ts Modified /chunk POST route to integrate metrics tracking, adding counters for successful and failed broadcasts.

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Actionable comments posted: 1

🧹 Outside diff range and nitpick comments (4)
src/routes/arweave.ts (1)

58-58: Consider standardizing metric label values

The current implementation uses 'success'/'fail' as status labels. Consider using more standard values like 'success'/'failure' or 'succeeded'/'failed' for consistency with common observability practices.

-      metrics.arweaveChunkBroadcastCounter.inc({ status: 'success' });
+      metrics.arweaveChunkBroadcastCounter.inc({ status: 'succeeded' });
-      metrics.arweaveChunkBroadcastCounter.inc({ status: 'fail' });
+      metrics.arweaveChunkBroadcastCounter.inc({ status: 'failed' });

Also applies to: 61-61

src/metrics.ts (2)

122-126: LGTM! Consider enhancing the help text.

The counter implementation looks good and follows the established patterns. Consider making the help text more specific about what it counts:

-  help: 'Counts individual POST request to endpoint',
+  help: 'Count of chunk POST requests by endpoint and status',

128-132: Please clarify the help text regarding minimum threshold.

The help text mentions "min threshold count" but doesn't specify what this threshold represents. This could make it harder for other developers to understand the metric's purpose.

Consider updating the help text to explicitly state:

  1. What the minimum threshold represents
  2. How it affects the counting logic
-  help: 'Counts successful broadcast accounting for min threshold count etc',
+  help: 'Count of chunk broadcasts that meet the minimum peer threshold requirement',
src/arweave/composite-client.ts (1)

773-776: Consider adding error type to failure metrics.

While the current implementation tracks failures correctly, adding the error type as a label would improve observability and help diagnose issues more effectively.

Consider updating the metrics to include the error type:

 metrics.arweaveChunkPostCounter.inc({
   endpoint: url,
   status: 'fail',
+  error_type: canceled ? 'canceled' : timedOut ? 'timeout' : 'request_error',
 });
📜 Review details

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Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between aef649f and 15e180f.

📒 Files selected for processing (3)
  • src/arweave/composite-client.ts (2 hunks)
  • src/metrics.ts (1 hunks)
  • src/routes/arweave.ts (2 hunks)
🔇 Additional comments (3)
src/routes/arweave.ts (2)

22-22: LGTM: Clean metrics import addition

The metrics import is properly placed and follows the existing code style.


58-58: Verify metrics implementation consistency

Let's ensure the metrics implementation is consistent across the codebase.

Also applies to: 61-61

✅ Verification successful

Metrics implementation is correctly defined and used

The metric arweaveChunkBroadcastCounter is:

  • Properly defined in src/metrics.ts as a Counter with appropriate name and help text
  • Consistently used in src/routes/arweave.ts with correct status labels ('success'/'fail')
  • No duplicate or conflicting metric names found in the codebase
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check metrics implementation consistency

# Check metric counter definition
echo "Checking metric counter definition:"
rg -A 2 "arweaveChunkBroadcastCounter.*=.*new Counter" 

# Check all usages of this counter
echo -e "\nChecking all counter usages:"
rg "arweaveChunkBroadcastCounter\.inc"

# Check for any similar metric names to avoid confusion
echo -e "\nChecking for similar metric names:"
rg "broadcast.*Counter|chunk.*Counter"

Length of output: 560


Script:

#!/bin/bash
# Let's check the metrics definition in a broader way and also look for the metrics setup

# Check for metrics definition file and its content
echo "Checking metrics setup files:"
fd "metrics" --type f --exec cat {}

# Look for Counter imports and definitions
echo -e "\nChecking Counter imports and definitions:"
rg "Counter.*from.*prom"
rg "new Counter\("

# Check the specific metric initialization
echo -e "\nChecking arweaveChunkBroadcast metric setup:"
rg -B 2 -A 2 "arweaveChunkBroadcastCounter"

Length of output: 13913

src/arweave/composite-client.ts (1)

746-749: LGTM! Success metrics instrumentation looks good.

The metrics counter for successful chunk broadcasts is correctly placed and includes relevant labels.

Comment on lines +58 to 62
metrics.arweaveChunkBroadcastCounter.inc({ status: 'success' });
res.status(200).send(result);
} else {
metrics.arweaveChunkBroadcastCounter.inc({ status: 'fail' });
res.status(500).send(result);
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⚠️ Potential issue

Add missing failure metric in catch block

While the success/fail metrics are properly tracked for partial successes, the catch block doesn't increment the failure counter. This could lead to under-reporting of failures.

Add the metric in the catch block:

  } catch (error: any) {
+   metrics.arweaveChunkBroadcastCounter.inc({ status: 'fail' });
    log.error('Failed to broadcast chunk', {
      message: error?.message,
      stack: error?.stack,
    });
    res.status(500).send('Failed to broadcast chunk');
  }

Committable suggestion skipped: line range outside the PR's diff.

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maybe it's correct, let me check

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@hlolli, sure, please let me know if I can assist further.

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@hlolli hlolli Nov 15, 2024

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no this isn't applicable comment, because of validateStatus attribute of the axios call, all successes are not thrown and vice versa, all failures throw, so this is correct my code

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@hlolli, thank you for the clarification. That makes sense. I'll note this for future reviews.


✏️ Learnings added
Learnt from: hlolli
PR: ar-io/ar-io-node#235
File: src/routes/arweave.ts:58-62
Timestamp: 2024-11-15T16:11:12.130Z
Learning: In `src/routes/arweave.ts`, when using Axios with the `validateStatus` attribute set, all failures throw errors, and successes do not. Therefore, incrementing the failure metric in the catch block is unnecessary because failures are already being handled correctly.

Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.

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