Epictetus
69 lines
3.7 KiB
Python
69 lines
3.7 KiB
Python
"""Centralized configuration for the AI Research Oracle.
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Single source of truth for all paths, defaults, and constants.
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"""
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import os
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from pathlib import Path
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# ── Paths ──────────────────────────────────────────────────────────────────
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ROOT = Path(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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DB_PATH = ROOT / "oracle.db"
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SCHEMA_PATH = ROOT / "schema.sql"
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# ── Web output ─────────────────────────────────────────────────────────────
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WEBROOT = "/var/www/preprod2"
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FALLBACK_WEBROOT = ROOT / "site"
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SEEN_JSON = ROOT.parent / "ai-oracle-site" / "seen_urls.json"
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# ── Pipeline defaults ──────────────────────────────────────────────────────
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ENABLED_SOURCES = ["github", "arxiv", "reddit", "hackernews", "huggingface", "rss"]
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DEFAULT_LIMIT = 20
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# ── Source tiers (World Monitor pattern) ───────────────────────────────────
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# Tier 1: Primary trusted sources (official releases, peer-reviewed)
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# Tier 2: Secondary credible sources (curated communities, major outlets)
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# Tier 3: Tertiary noise sources (user-generated, unverified)
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SOURCE_TIERS = {
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"arxiv": {"tier": 1, "label": "PRIMARY", "description": "Peer-reviewed research"},
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"github": {"tier": 1, "label": "PRIMARY", "description": "Official code releases"},
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"huggingface": {"tier": 1, "label": "PRIMARY", "description": "Model registry"},
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"rss": {"tier": 2, "label": "SECONDARY", "description": "Curated tech media"},
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"hackernews": {"tier": 2, "label": "SECONDARY", "description": "Curated community"},
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"reddit": {"tier": 3, "label": "TERTIARY", "description": "User-generated discussion"},
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}
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# Tier-based signal score bonus/penalty (applied to final_score)
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TIER_BONUS = {1: 0.05, 2: 0.0, 3: -0.05}
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# Freshness SLA per tier (hours after which a source is flagged stale)
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FRESHNESS_SLA_H = {1: 48, 2: 24, 3: 12}
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# ── Composite verdict thresholds ───────────────────────────────────────────
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# PUBLISH: High score + fresh, goes to top
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# WATCH: Medium score, monitor for follow-ups
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# ARCHIVE: Low score or aged out, move to archive
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# DROP: Junk score, ignore
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VERDICT_THRESHOLDS = {
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"PUBLISH": {"min_score": 5.0, "max_age_h": 48},
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"WATCH": {"min_score": 4.0, "max_age_h": 168}, # 7 days
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"ARCHIVE": {"min_score": 2.0, "max_age_h": 720}, # 30 days
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"DROP": {"min_score": 0.0, "max_age_h": 999999}, # catch-all
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}
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# ── Content hash dedup ─────────────────────────────────────────────────────
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CONTENT_HASH_PREFIX = "sha256"
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HASH_LENGTH = 16 # characters
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# ── Clickability weights ───────────────────────────────────────────────────
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VEL_W = 0.50
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ENG_W = 0.50
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SIG_W = 0.0
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HALF_LIFE_H = 18.0
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# ── Render ─────────────────────────────────────────────────────────────────
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TOP_N = 8
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# ── Archive ────────────────────────────────────────────────────────────────
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ARCHIVE_DAYS = 30
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ARCHIVE_CAP = 5000
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