refactor: simplify to a list of intentionally-skipped rungs
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Per operator: drop the gap-sensitivity / cap-intent-clause / stale-detection
machinery. Model is now dead simple — recipe_meta.EXPECTED_NA = {rung: reason}
lists the rungs a recipe intentionally skips; ANY rung skipped (N/A) and not in
that list is unintentional.

results.json: replace the 'na' block + level_cap_intent with
  skips: { intentional: {rung: reason}, unintentional: [rung] }
plus level_cap_rung (which rung capped). Badge/card derive intentional-vs-
unintentional from whether the capping rung is in the intentional list. Skips
still cap the level (never inflate). custom-html-tiny lists all three rungs it
intentionally skips (backup_restore, integration, recipe_local).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
autonomic-bot
2026-06-09 02:36:53 +00:00
parent d733e2c4ca
commit b3ab68a9dd
6 changed files with 105 additions and 146 deletions

View File

@ -79,27 +79,27 @@ def render_badge_svg(label: str, message: str, color: str) -> str:
)
# Third-segment colours for the level badge: amber = an UNEXPECTED skip (undeclared gap-sensitive
# N/A — likely missing coverage) capped the climb; muted = an EXPECTED skip (declared intentional
# N/A — reviewed, nothing to fix). Font-safe text labels (no emoji) so the SVG renders anywhere.
# Third-segment colours for the level badge: amber = an UNINTENTIONAL skip (a rung skipped but not
# in the recipe's intentional list — likely missing coverage) capped the climb; muted = an
# INTENTIONAL skip (declared in recipe_meta.EXPECTED_NA — nothing to fix). Font-safe text labels
# (no emoji) so the SVG renders anywhere.
GAP_COLOR = "#d29922"
EXPECT_COLOR = "#6e7681"
def level_badge_svg(level: int, cap_reason: str = "", cap_intent: str = "") -> str:
def level_badge_svg(level: int, cap_reason: str = "", cap_skip: str = "") -> str:
"""Per-recipe/-run LEVEL badge: 'cc-ci | level N' coloured by level (R6), with a THIRD segment
that differentiates *why* the climb stopped when an N/A capped it:
- undeclared gap-sensitive N/A (an UNEXPECTED skip — likely missing coverage): amber 'gap?'.
- declared intentional N/A (an EXPECTED skip — reviewed, nothing to fix): muted 'expected'.
- clean cap / full climb / a real failure: no third segment (the level + card carry it).
Derived from `cap_intent` (results.level_cap_intent) so the badge never inflates — it only
annotates the cap the level already reflects."""
that differentiates *why* the climb stopped when a SKIP capped it (`cap_skip`):
- "unintentional" (a rung skipped but not in the recipe's intentional list): amber 'gap?'.
- "intentional" (a skip declared in recipe_meta.EXPECTED_NA): muted 'expected'.
- "" (clean cap / full climb / a real failure): no third segment (the level + card carry it).
The badge never inflates — it only annotates the cap the level already reflects."""
label, msg = "cc-ci", f"level {int(level)}"
lw, mw = _text_width(label), _text_width(msg)
third: tuple[str, str] | None = None
if cap_intent.startswith("undeclared"):
if cap_skip == "unintentional":
third = ("gap?", GAP_COLOR)
elif cap_intent.startswith("intentional"):
elif cap_skip == "intentional":
third = ("expected", EXPECT_COLOR)
if third is None:
return render_badge_svg(label, msg, level_color(level))
@ -151,8 +151,15 @@ def render_card_html(data: dict, screenshot_rel: str | None = "screenshot.png")
version = html.escape(str(data.get("version") or data.get("ref") or ""))
level = int(data.get("level", 0))
cap_reason = str(data.get("level_cap_reason") or "")
cap_intent = str(data.get("level_cap_intent") or "")
cap = html.escape(cap_reason + (f" · {cap_intent}" if cap_intent else ""))
# Annotate the cap line by whether the capping rung was an intentional skip (declared, with its
# reason) or an unintentional one (skipped but not declared).
capped = data.get("level_cap_rung")
sk = data.get("skips", {}) or {}
if capped and capped in (sk.get("intentional") or {}):
cap_reason += f" · intentional: {sk['intentional'][capped]}"
elif capped and capped in (sk.get("unintentional") or []):
cap_reason += " · unintentional skip (no EXPECTED_NA — add a test or declare it)"
cap = html.escape(cap_reason)
color = level_color(level)
flags = data.get("flags", {}) or {}
flag_bits = []

View File

@ -2,7 +2,14 @@
Turns a run's per-tier pytest outcomes into a single `results.json` artifact carrying, per the plan:
{ recipe, version, pr, ref, run_id, finished, stages:[{name,status,tests:[{name,status,ms}]}],
level, level_cap_reason, rungs, flags:{clean_teardown,no_secret_leak}, screenshot, summary_card }
level, level_cap_reason, level_cap_rung, rungs,
skips:{intentional:{rung:reason}, unintentional:[rung]},
flags:{clean_teardown,no_secret_leak}, screenshot, summary_card }
`skips` splits the N/A (skipped) rungs by a simple rule: a skip is INTENTIONAL iff the recipe lists
it (with a reason) in `recipe_meta.EXPECTED_NA = {rung: reason}`; any rung skipped but not listed is
UNINTENTIONAL (a coverage gap to fill or declare). Skips still cap the level either way — the harness
never claims a rung it did not verify; this only labels *why* a skip happened.
The per-test breakdown comes from JUnit XML emitted by each tier's pytest invocation (`--junitxml`),
parsed here with the stdlib (no new dep). The integer **level** is computed by harness.level from a
@ -200,54 +207,23 @@ def derive_rungs(
return rungs
# Rungs where an *undeclared* N/A is suspicious — it usually means a recipe SHOULD have this coverage
# but nobody added it (a backup label, a functional test), i.e. an accidental gap rather than a real
# property of the recipe. For these, an undeclared N/A is surfaced as a "possible coverage gap" unless
# the recipe declares it intentional via recipe_meta.EXPECTED_NA. The other rungs (upgrade — only one
# published version; integration — no SSO surface; recipe_local — no repo-local tests) are
# *structurally* optional: an N/A there is the normal case and is not flagged.
GAP_SENSITIVE_RUNGS = ("backup_restore", "functional")
def skips(rungs: dict[str, str], expected_na: dict | None) -> dict:
"""Split the SKIPPED (N/A) rungs into intentional vs unintentional (operator model).
def classify_na(rungs: dict[str, str], expected_na: dict | None) -> dict:
"""Distinguish *intentionally* N/A rungs from *accidentally* missing ones (operator request).
A recipe declares intentional N/A in `recipe_meta.EXPECTED_NA = {rung: reason}`. N/A always caps
the level either way (the harness never inflates — a rung that wasn't verified wasn't verified);
this only EXPLAINS the cap so a reviewer can tell "this recipe legitimately has no backup surface"
from "someone forgot to add the backup test". Returns:
{ "rungs": {rung: {"intent": "declared"|"undeclared", "reason": str}}, # one per N/A rung
"gaps": [rung, ...], # gap-sensitive rungs that are N/A and NOT declared
"stale_declared": [rung, ...] } # rungs declared N/A but actually exercised (stale opt-out)
A recipe lists the rungs it intentionally skips, each with a reason, in
`recipe_meta.EXPECTED_NA = {rung: reason}`. The rule is dead simple: a skipped rung is
**intentional** iff it is in that list; any rung that is skipped and NOT in the list is
**unintentional** (a coverage gap someone should either fill or declare). N/A still caps the
level either way — the harness never claims a rung it did not verify — this only labels *why* a
skip happened. Returns:
{ "intentional": {rung: reason, ...}, # skipped AND declared in EXPECTED_NA
"unintentional": [rung, ...] } # skipped but NOT declared
"""
expected = {str(k): str(v) for k, v in (expected_na or {}).items()}
na: dict[str, dict] = {}
for rung, st in rungs.items():
if st != "na":
continue
if rung in expected:
na[rung] = {"intent": "declared", "reason": expected[rung]}
else:
na[rung] = {"intent": "undeclared", "reason": ""}
gaps = [r for r in GAP_SENSITIVE_RUNGS if na.get(r, {}).get("intent") == "undeclared"]
stale = sorted(r for r in expected if rungs.get(r) not in (None, "na"))
return {"rungs": na, "gaps": gaps, "stale_declared": stale}
def cap_intent(rungs: dict[str, str], level: int, cap_reason: str, na_info: dict) -> str:
"""A short clause explaining the level cap when the capping rung is N/A: the declared reason if
intentional, a 'possible coverage gap' note if it's an undeclared gap-sensitive rung, else ''."""
if not cap_reason:
return ""
capped = level_mod.RUNGS[level] if 0 <= level < len(level_mod.RUNGS) else None
if not capped or rungs.get(capped) != "na":
return ""
entry = na_info["rungs"].get(capped, {})
if entry.get("intent") == "declared":
return f"intentional · {entry['reason']}"
if capped in GAP_SENSITIVE_RUNGS:
return "undeclared N/A — possible coverage gap (add a test or declare EXPECTED_NA)"
return ""
na = [r for r, st in rungs.items() if st == "na"]
intentional = {r: expected[r] for r in na if r in expected}
unintentional = sorted(r for r in na if r not in expected)
return {"intentional": intentional, "unintentional": unintentional}
def build_results(
@ -286,8 +262,9 @@ def build_results(
repo_local_passed=_repo_local_passed(records),
)
lvl, cap_reason = level_mod.compute_level(rungs)
na_info = classify_na(rungs, expected_na)
intent = cap_intent(rungs, lvl, cap_reason, na_info)
# The rung that capped the climb (lowest non-pass), or None on a full climb — lets a consumer
# (card/badge) tell whether the cap was an intentional skip, an unintentional one, or a failure.
capped = level_mod.RUNGS[lvl] if cap_reason else None
return {
"schema": 1,
"run_id": run_id(),
@ -298,9 +275,9 @@ def build_results(
"finished": finished_ts,
"level": lvl,
"level_cap_reason": cap_reason,
"level_cap_intent": intent,
"level_cap_rung": capped,
"rungs": rungs,
"na": na_info,
"skips": skips(rungs, expected_na),
"stages": stages,
"results": results,
"flags": {

View File

@ -1254,27 +1254,18 @@ def main() -> int:
file=sys.stderr,
)
path = results_mod.write_results(data)
intent = data.get("level_cap_intent") or ""
print(
f"results.json written: {path} (level={data['level']}"
f"{'' + data['level_cap_reason'] if data['level_cap_reason'] else ''}"
f"{' [' + intent + ']' if intent else ''})",
f"{'' + data['level_cap_reason'] if data['level_cap_reason'] else ''})",
flush=True,
)
# Surface the intentional-vs-accidental N/A signal in the CI log (non-blocking, R7): a
# gap-sensitive rung that is N/A but undeclared is a possible coverage hole; a stale
# EXPECTED_NA declares a tier N/A that actually ran.
na = data.get("na", {})
for rung in na.get("gaps", []):
# Surface UNINTENTIONAL skips in the CI log (non-blocking, R7): a rung that was skipped (N/A)
# but is not in the recipe's intentional list — either add the missing coverage or declare it.
for rung in data.get("skips", {}).get("unintentional", []):
print(
f"⚠ coverage: rung '{rung}' is N/A but not declared intentional — add a test or "
f"declare it in tests/{recipe}/recipe_meta.py EXPECTED_NA = {{'{rung}': '<why>'}}.",
flush=True,
)
for rung in na.get("stale_declared", []):
print(
f"⚠ stale EXPECTED_NA: rung '{rung}' is declared N/A but was actually exercised "
f"(status={data['rungs'].get(rung)}) — remove it from recipe_meta.EXPECTED_NA.",
f"⚠ coverage: rung '{rung}' was skipped (N/A) but is not declared intentional — add "
f"the missing test/label, or list it in tests/{recipe}/recipe_meta.py "
f"EXPECTED_NA = {{'{rung}': '<why>'}}.",
flush=True,
)
except Exception as e: # noqa: BLE001 — results assembly is cosmetic; never fail a run on it (R7)
@ -1295,12 +1286,17 @@ def main() -> int:
with open(html_path, "w", encoding="utf-8") as f:
f.write(card_mod.render_card_html(data, screenshot_rel=data.get("screenshot")))
png = card_mod.render_card_png(html_path, os.path.join(run_artifact_dir, "summary.png"))
capped = data.get("level_cap_rung")
sk = data.get("skips", {})
cap_skip = (
"intentional" if capped in (sk.get("intentional") or {})
else "unintentional" if capped in (sk.get("unintentional") or [])
else ""
)
with open(os.path.join(run_artifact_dir, "badge.svg"), "w", encoding="utf-8") as f:
f.write(
card_mod.level_badge_svg(
data["level"],
data.get("level_cap_reason", ""),
data.get("level_cap_intent", ""),
data["level"], data.get("level_cap_reason", ""), cap_skip
)
)
print(