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Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
47 lines
2.2 KiB
Markdown
47 lines
2.2 KiB
Markdown
# Latency: where the 3.7 seconds actually go
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Measured on the live bot, 2026-08-29, for one real `!cat` in the production
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group. Every number here came from `journalctl --user -u signal-bot.service`,
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not from a model of the system.
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```
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22:59:37.984 running command cat
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22:59:38.370 GET api.thecatapi.com/…/search 200 386 ms
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22:59:39.054 GET s3…/MjA2MDgxMA.jpg 200 684 ms
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22:59:41.702 POST localhost:9922/v2/send 201 2648 ms
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```
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Fetching the picture — the JSON lookup plus the download — is **1.07 s of the
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3.7 s**. `POST /v2/send` on its own is **2.65 s**, and that is the
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signal-cli-rest-api container uploading the attachment to Signal. It is 72% of
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the wall clock and none of it is this repo's code.
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## The consequence for the latency release
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The plan proposed an image prefetch pool as "the single biggest win": keep N
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pre-fetched, pre-base64'd images per command in memory so a command costs one
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send instead of *fetch JSON → download → encode*. The measurement says that
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buys 3.7 s → about 2.7 s. Worth having, but it is not the biggest win and it
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does not get anywhere near a sub-second reply, because the send is untouched.
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**Do not design the latency release on the plan's assumption.** Before
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building anything, measure these two separately:
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1. A **text-only** reply, end to end. That isolates `POST /v2/send` without an
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attachment and says how much of the 2.65 s is upload versus fixed overhead.
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2. Whether signal-cli can **reuse an already-uploaded attachment id**, so a
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repeated image costs a reference rather than a fresh upload. If it can,
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that is the real win and it makes the prefetch pool far more valuable,
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because the pool could hold ids instead of bytes.
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Head-of-line blocking is a separate, confirmed problem and does not need
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re-measuring: `bot.py` awaits each frame to completion, so one slow upstream
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fetch delays every other message behind it. Dispatching each frame as its own
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task under a bounded semaphore fixes that regardless of what the send costs.
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## Rule
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An upstream latency claim gets measured before it gets designed around. The
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prefetch-pool assumption survived a whole planning pass and was wrong by more
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than a factor of two in the direction that mattered.
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