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The tree was a debranded snapshot of upstream taken around 2026-02-20, and upstream has moved about five months since. This replaces it with upstream master, mechanically re-derived: bin/debrand does the rename, and the pipeline and squashed migrations are restored from the shipped tree. Not a merge. The previous import replaced the tree wholesale in a single commit, so there is no shared content history to merge against. Reproducing the rename on the new tree is what actually converges. What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md, and insights/migrations. The squashed initial migration is load-bearing — the live database records it by name, so upstream's ~918 individual migrations cannot come back. Nine products are dropped as unreferenced. Twenty-one more that we do not run are kept anyway because the core app still imports them; unpicking those is a refactor and does not belong in a rebase. This base does not build yet, and the reasons are not in the rename: upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against our 4.2, and the dependency manifests still name upstream packages that we republish under our own names. Those are decisions, not renames.
28 lines
1.2 KiB
Python
28 lines
1.2 KiB
Python
"""Shared helpers for shaping ExperimentMetricResult payloads before they leave the backend."""
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from collections.abc import Mapping
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from typing import Any
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def strip_step_sessions(result: Any) -> Any:
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"""Remove the per-session funnel actors payload from a stored experiment metric result.
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`step_sessions` powers the frontend's "view sessions per step" affordance off
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a separate per-metric query, not this timeseries endpoint. Carrying it through
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here multiplies the response by sessions × steps × variants and pushes MCP
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consumers past their context window with no benefit.
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"""
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if not isinstance(result, Mapping):
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return result
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cleaned = {k: v for k, v in result.items() if k != "step_sessions"}
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baseline = cleaned.get("baseline")
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if isinstance(baseline, dict):
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cleaned["baseline"] = {k: v for k, v in baseline.items() if k != "step_sessions"}
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variants = cleaned.get("variant_results")
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if isinstance(variants, list):
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cleaned["variant_results"] = [
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{k: v for k, v in variant.items() if k != "step_sessions"} if isinstance(variant, dict) else variant
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for variant in variants
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]
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return cleaned
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