Knowit
c6fd111d6d
Three crawler ergonomics for batch operations:
--no-cover Skip cover image download. For scan-only modes (license/meta
scrape) this drops ~1.3s/project and avoids slow-CDN hangs.
--concurrency N ThreadPoolExecutor wrapping the per-project loop. Default
1 = serial (current behavior). Anonymous endpoints tolerate
5+ comfortably; output uses a print lock for readable
interleaved progress. fetch_cover plumbs through crawl_one.
Drop cross-host sleep #1: in crawl_one between detail HTML (oshwhub.com)
and cover image (image.lceda.cn). Different hosts — sleep was unnecessary.
Saves ~1s/project. Sleep #2 (post-cover, before next iteration) stays — it
gates the next oshwhub.com hit.
download_to gains max_seconds wall budget (default 60s, cover uses 15s).
Defends against pathologically slow CDN connections — observed 10 KB/s
on image.lceda.cn for one project, would have hung 6+ min on a 3.6 MB
cover otherwise. httpx default timeout resets per chunk, so streaming
downloads need an external wall-clock guard.
batch-50 Step 1 (license/meta scrape) shipped:
50/50 candidates have metadata.json + license recorded
License distribution: GPL 3.0 32, Public Domain 6, NC variants 8,
CERN-OHL 1, MIT 1, CC BY 3.0 1
Forge-friendly (non-NC): 41/50 (82%)
Declared attachments: 180 files / 2.36 GB (median 18 MB/proj, max 304 MB)
Walltime: 3min 26s for 28 projects at concurrency=5 (server-side
HTML render bound, not sleep-bound)
One orphan partial cover (a670e60a...) cleaned up — leftover from the
first aborted run before the timeout fix landed.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
46 lines
1.9 KiB
JSON
46 lines
1.9 KiB
JSON
{
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"detail_url": "https://oshwhub.com/movecall/moji-xiaozhi-ai-derivative-editi",
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"cover_url": "https://image.lceda.cn/pullimage/wxmiS0dRdmrR71POPSkSyTfii6qWXkzHAj9lmicv.png",
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"attachments": [
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{
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"name": "Firmware_Moji_v0.9.9_0x00_2025-01-22.bin",
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"url": "https://image.lceda.cn/oshwhub/project/attachments/d03f6c19d2e94073b97b38443f9864fd.bin",
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"original_id": "8ce49eadb48441d2ad6edcb5ef1eb67b"
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},
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{
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"name": "Moji_2025-01-21-1.mp4",
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"url": "https://image.lceda.cn/oshwhub/project/attachments/12db74babe1f43bba73bcd2f709402b6.mp4",
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"original_id": "daf70fe0ceb8455bb294274da412a656"
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},
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{
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"name": "v1.0.1_movecall-moji-esp32s3.zip",
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"url": "https://image.lceda.cn/oshwhub/project/attachments/1abeb5dc5d3442d1ab6fde7a96279043.zip",
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"original_id": "b67a575a4e7740c8b6c677af32706de8"
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},
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{
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"name": "Moji_AI尬聊.mp4",
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"url": "https://image.lceda.cn/oshwhub/project/attachments/4e85e95da82642d78468b88f8a3455c5.mp4",
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"original_id": "2ace833bb4394ee58f2cd44b7550a29f"
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},
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{
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"name": "v1.1.3_movecall-moji-esp32s3.zip",
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"url": "https://image.lceda.cn/oshwhub/project/attachments/994e4e6111f048fbae30353bf6eb0b64.zip",
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"original_id": "5e7a8a6dc1094966a57a89858e1bf746"
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},
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{
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"name": "v1.2.1_movecall-moji-esp32s3.zip",
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"url": "https://image.lceda.cn/oshwhub/project/attachments/81e3bc80a46b4ee48d15d6e27c78e227.zip",
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"original_id": "57b033eda2be4265a6411dbd26f5f209"
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},
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{
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"name": "v1.4.6_movecall-moji-esp32s3.zip",
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"url": "https://image.lceda.cn/oshwhub/project/attachments/48cdc0f6e8c04a909e74d8d11a1e84fa.zip",
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"original_id": "5d8b3830ba944aae8c026023b216a3e9"
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},
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{
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"name": "v1.5.0_movecall-moji-esp32s3.zip",
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"url": "https://image.lceda.cn/oshwhub/project/attachments/c185b3c633644d64b3e95e1f97dfa678.zip",
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"original_id": "87ce0d0f38434814957c170b002c675e"
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}
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]
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} |