mirror of
https://github.com/zvx-echo6/recon.git
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Matt
299be21f42
The >500-video threshold was too aggressive — it skipped tiebreaking for legitimate large channels (1a-auto, forgotten-weapons, etc.) where channel context correctly resolves ties. Replace with an explicit MEGA_CHANNEL_SKIP_LIST in recon_domains.py. Only known non-topical catch-alls (currently just "Transcript") skip the tiebreaker. Removed _channel_video_count() helper and MEGA_CHANNEL_THRESHOLD constant (no longer used). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
"""
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RECON Domain Taxonomy
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Single source of truth for the 18 knowledge domains and their PeerTube
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category ID mappings. IDs 100-117 are registered via the
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peertube-plugin-recon-domains plugin.
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Import VALID_DOMAINS from here instead of defining local sets.
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"""
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DOMAIN_CATEGORY_MAP = {
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'Agriculture & Livestock': 100,
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'Civil Organization': 101,
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'Communications': 102,
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'Food Systems': 103,
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'Foundational Skills': 104,
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'Logistics': 105,
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'Medical': 106,
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'Navigation': 107,
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'Operations': 108,
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'Power Systems': 109,
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'Preservation & Storage': 110,
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'Security': 111,
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'Shelter & Construction': 112,
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'Technology': 113,
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'Tools & Equipment': 114,
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'Vehicles': 115,
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'Water Systems': 116,
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'Wilderness Skills': 117,
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}
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VALID_DOMAINS = set(DOMAIN_CATEGORY_MAP.keys())
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CATEGORY_DOMAIN_MAP = {v: k for k, v in DOMAIN_CATEGORY_MAP.items()}
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# Channels whose tiebreaker is skipped because their content is non-topical
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# (catch-alls, miscellany dumps, etc.). Items in these channels with tied
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# domain counts go straight to tied_manual without channel-context tiebreaker.
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#
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# This is intentionally a hardcoded explicit list, not a size threshold.
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# Adding a channel here requires an explicit decision — only add channels
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# that are genuinely non-topical catch-alls where channel-wide concept
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# aggregation would produce meaningless noise.
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MEGA_CHANNEL_SKIP_LIST = {
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'Transcript', # Legacy catch-all, ~9,200 videos, no topical coherence
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}
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