Merge PR #10: read the AI-USAGE opt-in at render time

Late AI-USAGE labels now reach the review body. Verified live on this PR: AI-REVIEW then AI-USAGE six seconds later, usage block present in review #131.
This commit was merged in pull request #10.
This commit is contained in:
2026-08-20 23:42:36 +00:00
2 changed files with 72 additions and 0 deletions
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@@ -66,6 +66,8 @@ SHA_MARKER = "<!-- pragent:sha={sha} -->"
_SHA_MARKER_RE = re.compile(r"<!-- pragent:sha=([0-9a-f]{7,40}) -->") _SHA_MARKER_RE = re.compile(r"<!-- pragent:sha=([0-9a-f]{7,40}) -->")
AI_REVIEW_LABEL = "AI-REVIEW" AI_REVIEW_LABEL = "AI-REVIEW"
# Opt-in label for the token-usage block. Read at render time — see pr_has_label.
AI_USAGE_LABEL = "AI-USAGE"
SEVERITIES = ("critical", "high", "medium", "low") SEVERITIES = ("critical", "high", "medium", "low")
# Severity rank — higher = more severe. Used by `apply_repo_config` to drop # Severity rank — higher = more severe. Used by `apply_repo_config` to drop
# findings below `severity_threshold`. Critical=3, high=2, medium=1, low=0. # findings below `severity_threshold`. Critical=3, high=2, medium=1, low=0.
@@ -156,6 +158,33 @@ def parse_text_blocks(content: list) -> str:
return "\n".join(out).strip() return "\n".join(out).strip()
def pr_has_label(api: str, repo: str, index: str, token: str, label: str) -> bool:
"""True if the PR currently carries `label`. False on any failure.
Read at RENDER time, not at review start. A reviewer labels AI-REVIEW and
AI-USAGE seconds apart; the review claims on the first event and the
second is dropped by the in-flight dedupe, so the trigger payload never
sees the opt-in. Re-reading when the review begins is no better — that is
still milliseconds after the first click. Only a read taken once the
review has finished (a minute or more later) reliably sees the label.
"""
try:
code, raw = gitea_get(api, repo, f"issues/{index}/labels", token)
if code >= 300:
return False
data = json.loads(raw.decode() or "[]")
except Exception as e:
print(f"pragent: could not re-read labels for {repo}#{index}: {e}",
file=sys.stderr, flush=True)
return False
if not isinstance(data, list):
return False
return any(
(isinstance(x, dict) and x.get("name") == label) or x == label
for x in data
)
def _int_env(name: str, default: int) -> int: def _int_env(name: str, default: int) -> int:
"""Read an int from the environment, falling back on anything unparseable. """Read an int from the environment, falling back on anything unparseable.
@@ -1896,6 +1925,13 @@ def review_pr(
file=sys.stderr, flush=True, file=sys.stderr, flush=True,
) )
salvaged = salvage_summary(stdout) salvaged = salvage_summary(stdout)
# The AI-USAGE opt-in is re-checked HERE, at render time: the label
# is usually applied moments after AI-REVIEW, long after this
# review was claimed and its trigger payload frozen.
if not report_usage:
report_usage = pr_has_label(api, repo, index, token, AI_USAGE_LABEL)
if report_usage and usage and usage.get('output'):
compute_attribution(findings, usage['output'])
usage_section = _render_collapsible_usage(usage, model, config=config) if report_usage else "" usage_section = _render_collapsible_usage(usage, model, config=config) if report_usage else ""
post_review(api, repo, index, token, format_review_body( post_review(api, repo, index, token, format_review_body(
salvaged or "AI review produced no parseable output.", salvaged or "AI review produced no parseable output.",
@@ -1936,6 +1972,13 @@ def review_pr(
# for it. # for it.
if report_usage and usage and usage.get("output"): if report_usage and usage and usage.get("output"):
compute_attribution(findings, usage["output"]) compute_attribution(findings, usage["output"])
# The AI-USAGE opt-in is re-checked HERE, at render time: the label
# is usually applied moments after AI-REVIEW, long after this
# review was claimed and its trigger payload frozen.
if not report_usage:
report_usage = pr_has_label(api, repo, index, token, AI_USAGE_LABEL)
if report_usage and usage and usage.get('output'):
compute_attribution(findings, usage['output'])
usage_section = _render_collapsible_usage(usage, model, config=config) if report_usage else "" usage_section = _render_collapsible_usage(usage, model, config=config) if report_usage else ""
# Anchor against the RAW diff, never the compressed one. Compression # Anchor against the RAW diff, never the compressed one. Compression
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@@ -616,6 +616,35 @@ def test_reference_non_url_renders_as_plain_text():
assert "](CVE-" not in body assert "](CVE-" not in body
def test_pr_has_label_reads_the_live_labels(monkeypatch):
# The AI-USAGE opt-in is read at render time, not from the trigger
# payload: labelling AI-REVIEW then AI-USAGE is two events, the review
# claims on the first, and the second is dropped by the in-flight dedupe.
seen = {}
def _get(api, repo, path, token, accept="application/json"):
seen["path"] = path
return 200, b'[{"name": "AI-REVIEW"}, {"name": "AI-USAGE"}]'
monkeypatch.setattr(ai_review, "gitea_get", _get)
assert ai_review.pr_has_label("http://api", "o/r", "9", "t", "AI-USAGE") is True
assert seen["path"] == "issues/9/labels"
assert ai_review.pr_has_label("http://api", "o/r", "9", "t", "NOPE") is False
def test_pr_has_label_survives_a_broken_api(monkeypatch):
def _boom(*a, **k):
raise RuntimeError("gitea down")
monkeypatch.setattr(ai_review, "gitea_get", _boom)
assert ai_review.pr_has_label("http://api", "o/r", "9", "t", "AI-USAGE") is False
monkeypatch.setattr(ai_review, "gitea_get", lambda *a, **k: (404, b"nope"))
assert ai_review.pr_has_label("http://api", "o/r", "9", "t", "AI-USAGE") is False
monkeypatch.setattr(ai_review, "gitea_get", lambda *a, **k: (200, b'{"not": "a list"}'))
assert ai_review.pr_has_label("http://api", "o/r", "9", "t", "AI-USAGE") is False
def test_int_env_falls_back_on_garbage(monkeypatch, capsys): def test_int_env_falls_back_on_garbage(monkeypatch, capsys):
monkeypatch.setenv("PRAGENT_DIFF_CONTEXT", "two") monkeypatch.setenv("PRAGENT_DIFF_CONTEXT", "two")
assert ai_review._int_env("PRAGENT_DIFF_CONTEXT", 1) == 1 assert ai_review._int_env("PRAGENT_DIFF_CONTEXT", 1) == 1