ponzischeme89
48 lines
1.4 KiB
Markdown
48 lines
1.4 KiB
Markdown
# Caddy Log Dashboard
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A minimal Flask app that reads your Caddy JSON access log and surfaces useful insights.
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## Setup
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```
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cd C:\path\to\caddy_dashboard
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pip install -r requirements.txt
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```
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## Run
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```
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python app.py
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```
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Then open http://127.0.0.1:5000 in your browser.
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The app binds to `127.0.0.1` only, so it's not reachable from the network.
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## Configuration
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By default the app reads `C:\Caddy\logs\log2.json`. To point it elsewhere, set the `CADDY_LOG` environment variable before starting:
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```
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set CADDY_LOG=C:\path\to\other\log.json
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python app.py
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```
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## What it shows
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- Total requests, 403s, 5xx errors, slow requests, auth events, unique IPs
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- Status distribution (2xx / 3xx / 4xx / 5xx breakdown)
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- 403 trigger classification (which matcher fired: Emby version, iOS client, device ID, native UA, etc.)
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- Per-host traffic with hit counts, bytes transferred, and status mix
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- Top source IPs
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- Emby client versions, client applications, and device names
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- Auth service (auth.mattcohen.net) traffic breakdown
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- Recent 403 blocks with detail
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- Recent 5xx errors
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- Slowest requests (>=2s)
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## Notes
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- The log is re-read on every page load. For a 7MB log this should be fast enough (a second or two). If it gets much bigger, consider switching to the in-memory cached mode.
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- There's also `/api/raw/<n>` that returns the N most recent parsed entries as JSON, handy for debugging.
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