generated from coulomb/repo-seed
The analysis half of the weekly coding retrospection. retro/build.py: windowed detect+measure -> top-3 improvement suggestions per repo (cross-flavor first, recommendations pulled from the Pattern Catalog) + fleet snapshot. retro/publish.py: publishes the report to the hub as the coding_retro read model (event_type= coding_retro progress event) + local JSON/md, graceful degrade. retro entrypoint with --window-days/--publish/--json. Live verify over real sessions surfaced per-repo suggestions with catalog recommendations. 13 new tests; suite 152/152. Consumed by activity-core ACTIVITY-WP-0008 (Weekly Coding Retrospection, Sat 19:00). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
87 lines
3.6 KiB
Python
87 lines
3.6 KiB
Python
"""Weekly retro report tests (AGENTIC-WP-0010 T01)."""
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import os
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import sys
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from session_memory.curate.catalog import Catalog # noqa: E402
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from session_memory.curate.schema import Resolution, SolutionPattern # noqa: E402
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from session_memory.retro.build import weekly_retro # noqa: E402
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def _digest(uid, repo, ts, flavor="claude", retries=5):
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return {
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"session_uid": uid, "flavor": flavor, "repo": repo, "outcome": "fail",
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"started_at": ts, "event_count": 40,
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"first_prompt": "Fix the failing build and retry the suite",
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"cost": {"input_tokens": 100, "output_tokens": 10},
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"tool_histogram": {"Bash": 20, "Edit": 12, "Read": 8},
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"markers": {"errors": 0, "retries": retries, "test_runs": 0},
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"error_snippets": [],
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}
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def test_window_excludes_old_sessions():
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digs = [
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_digest("claude:a", "r1", "2026-06-01T10:00:00Z"),
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_digest("claude:b", "r1", "2026-06-02T10:00:00Z"),
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_digest("claude:old", "r1", "2026-01-01T10:00:00Z"), # outside window
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]
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r = weekly_retro(digs, since="2026-05-30T00:00:00Z", until="2026-06-08T00:00:00Z")
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assert r["n_sessions"] == 2
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assert r["window"]["days"] == 7
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def test_retry_storm_becomes_suggestion():
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digs = [_digest(f"claude:{i}", "r1", "2026-06-0{}T10:00:00Z".format(i + 1))
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for i in range(2)]
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r = weekly_retro(digs, since="2026-05-30T00:00:00Z", until="2026-06-08T00:00:00Z")
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s = r["suggestions"]
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assert s and s[0]["repo"] == "r1"
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assert s[0]["signal_type"] == "retry_storm"
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assert "Investigate" in s[0]["recommendation"] # no catalog -> default
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def test_recommendation_from_catalog(tmp_path):
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cat = Catalog(str(tmp_path / "catalog"))
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key = "problem:retry_storm:retries"
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cat.upsert(SolutionPattern(
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id=SolutionPattern.make_id(key), name="Retry storm", version="1.0.0",
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polarity="problem", problem="repeated retries",
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resolutions=[Resolution(summary="Stop and diagnose before retrying")]))
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digs = [_digest(f"claude:{i}", "r1", "2026-06-0{}T10:00:00Z".format(i + 1)) for i in range(2)]
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r = weekly_retro(digs, catalog=cat, since="2026-05-30T00:00:00Z", until="2026-06-08T00:00:00Z")
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assert r["suggestions"][0]["recommendation"] == "Stop and diagnose before retrying"
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def test_caps_three_per_repo():
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# five distinct problem signals in one repo -> capped at 3
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digs = []
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for i in range(2):
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d = _digest(f"claude:{i}", "r1", "2026-06-0{}T10:00:00Z".format(i + 1))
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d["markers"] = {"errors": 5, "retries": 5, "test_runs": 0, "human_interventions": 0}
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d["tool_histogram"] = {"Bash": 120, "ToolSearch": 9,
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"mcp__state-hub__x": 30, "Edit": 5}
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d["outcome"] = "abandoned"
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digs.append(d)
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r = weekly_retro(digs, since="2026-05-30T00:00:00Z", until="2026-06-08T00:00:00Z")
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per_repo = [s for s in r["suggestions"] if s["repo"] == "r1"]
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assert len(per_repo) <= 3
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def test_cross_flavor_ranks_first():
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digs = [
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_digest("claude:a", "r1", "2026-06-01T10:00:00Z", flavor="claude"),
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_digest("grok:b", "r2", "2026-06-02T10:00:00Z", flavor="grok"),
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]
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r = weekly_retro(digs, since="2026-05-30T00:00:00Z", until="2026-06-08T00:00:00Z")
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assert r["suggestions"][0]["cross_flavor"] is True
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assert r["suggestions"][0]["priority"] == "high"
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def test_includes_measure_snapshot():
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digs = [_digest(f"claude:{i}", "r1", "2026-06-0{}T10:00:00Z".format(i + 1)) for i in range(2)]
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r = weekly_retro(digs, since="2026-05-30T00:00:00Z", until="2026-06-08T00:00:00Z")
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assert r["measure"]["n_sessions"] == 2
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