feed: Phase 3 aggregation + ranking — group-by, recency/velocity/engagement scorers, composite, top-N via stable grade-down + 24 tests
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Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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62
lib/feed/aggregate.sx
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62
lib/feed/aggregate.sx
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; feed/aggregate — group-by / counting via key-reduce. Keys must be strings
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; (dict keys), so composite keys (actor, day) are joined into one string.
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;
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; Requires: lib/feed/normalize.sx, lib/feed/stream.sx.
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; group activities into a dict: key-string -> (list of activities), order-preserving
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(define
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feed/group-by
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(fn
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(stream key-fn)
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(reduce
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(fn
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(g a)
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(let
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((k (key-fn a)))
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(assoc g k (append (get g k (list)) (list a)))))
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{}
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(feed/items stream))))
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; key-string -> count
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(define
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feed/group-count
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(fn
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(stream key-fn)
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(reduce
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(fn
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(g a)
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(let
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((k (key-fn a)))
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(assoc g k (+ (get g k 0) 1))))
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{}
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(feed/items stream))))
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; --- composite keys ---------------------------------------------------------
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(define feed/day (fn (at window) (floor (/ at window))))
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; (actor, day-bucket) -> "actor#day"
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(define
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feed/actor-day-key
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(fn
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(window)
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(fn
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(a)
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(string-append
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(get a :actor)
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"#"
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(number->string (feed/day (get a :at) window))))))
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(define
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feed/by-actor-day
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(fn (stream window) (feed/group-count stream (feed/actor-day-key window))))
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; per-actor activity counts
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(define
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feed/actor-counts
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(fn (stream) (feed/group-count stream feed/actor)))
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; per-object activity counts (engagement)
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(define
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feed/object-counts
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(fn (stream) (feed/group-count stream feed/object)))
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