087834565d
Add per-review + per-comment token accounting, surfaced only when a PR carries the new AI-USAGE label (on top of the existing AI-REVIEW trigger). opencode_review: - run_opencode now uses `--format json`; parse_opencode_events reconstructs the assistant text from `text` events and sums tokens/cost/steps from every `step_finish` event (tolerant of noise / missing fields). - run() measures duration_s around the opencode call and returns (text, usage). - changed_files(diff) extracts the `+++ b/` paths; the brief now lists them under a "Changed files" focus block so the agent grounds findings in the diff's neighbourhood instead of unbounded whole-repo walks. ai_review: - format_usage_section renders a `## AI usage` block: measured totals (in/out/reasoning/cache/cost/steps/duration), the whole-repo scope note, and an attributed per-finding table. Per-comment counts are output tokens split by each finding's body weight — labelled "attributed" since one model pass produces all findings. - inline_comment_body appends `🪙 ~N tok (X% · attributed output)` when attribution is present. - review_pr gains report_usage; compute_attribution stashes _tok_attrib/_tok_pct. - format_review_body inserts the usage section between summary and findings. webhook_server: - Fire on every pull_request action except `closed` (denylist, was an allowlist) — the AI-REVIEW gate + sha dedupe keep this safe. - AI-USAGE label detection + PRAGENT_USAGE_ALWAYS env drive report_usage. .opencode factory + review-methodology skill: new "Ground findings in context" step — read callers/imports/sibling functions per changed file (1-3 files per finding), no unbounded walks. Tests: parse_opencode_events (text+usage sum, malformed tolerance, none-usage), changed_files, compute_attribution math, inline 🪙 line, format_usage_section totals/table/cost, format_review_body ordering. 68 passing. Co-Authored-By: Claude <noreply@anthropic.com>
551 lines
19 KiB
Python
551 lines
19 KiB
Python
"""Unit tests for pragent pilot pure helpers. No network."""
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import os
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import sys
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# Allow running without install: add repo root to path.
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HERE = os.path.dirname(os.path.abspath(__file__))
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ROOT = os.path.abspath(os.path.join(HERE, "..", ".."))
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sys.path.insert(0, os.path.join(ROOT, "pilot"))
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from ai_review import ( # noqa: E402
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build_user_prompt,
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compute_attribution,
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format_review_body,
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format_usage_section,
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inline_comment_body,
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parse_diff_anchors,
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parse_findings,
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parse_repo_config,
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parse_review_output,
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parse_text_blocks,
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prior_review_bodies,
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reviewed_shas,
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split_findings,
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summary_bullets,
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truncate_diff,
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)
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# ---------------------------------------------------------------------------
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# truncate_diff
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# ---------------------------------------------------------------------------
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def test_truncate_diff_short():
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text, truncated, n = truncate_diff("abc", 100)
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assert text == "abc"
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assert truncated is False
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assert n == 3
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def test_truncate_diff_exact_boundary():
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text, truncated, n = truncate_diff("x" * 100, 100)
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assert truncated is False
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assert n == 100
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assert text == "x" * 100
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def test_truncate_diff_over_cap():
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text, truncated, n = truncate_diff("x" * 250, 100)
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assert truncated is True
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assert n == 250
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assert text.startswith("x" * 100)
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assert "[diff truncated at 100 characters]" in text
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def test_truncate_diff_none():
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text, truncated, n = truncate_diff(None, 100) # type: ignore[arg-type]
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assert text == ""
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assert truncated is False
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assert n == 0
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# ---------------------------------------------------------------------------
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# parse_text_blocks
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# ---------------------------------------------------------------------------
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def test_parse_text_blocks_text_only():
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content = [{"type": "text", "text": "hello"}, {"type": "text", "text": "world"}]
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assert parse_text_blocks(content) == "hello\nworld"
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def test_parse_text_blocks_drops_thinking():
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content = [
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{"type": "thinking", "thinking": "reasoning here"},
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{"type": "text", "text": "- [high] a.go:3 — bug. fix."},
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]
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assert parse_text_blocks(content) == "- [high] a.go:3 — bug. fix."
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def test_parse_text_blocks_empty_and_malformed():
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assert parse_text_blocks([]) == ""
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assert parse_text_blocks(None) == "" # type: ignore[arg-type]
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assert parse_text_blocks([{"type": "text"}, "garbage", 5]) == ""
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def test_parse_text_blocks_real_glm_shape():
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# Captured from glm-5.2:cloud via headroom 8789.
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content = [
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{"type": "thinking", "thinking": "Analyze the request..."},
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{"type": "text", "text": "- [critical] auth.py:12 — token compared with `==`. Use hmac.compare_digest."},
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]
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assert "compare_digest" in parse_text_blocks(content)
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# ---------------------------------------------------------------------------
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# format_review_body
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# ---------------------------------------------------------------------------
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def test_format_review_body_findings():
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body = format_review_body("- [high] x:1 — bug. fix.", "glm-5.2:cloud", "abcdef1234567890")
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assert "pragent pilot" in body
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assert "glm-5.2:cloud" in body
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assert "`abcdef12`" in body # 8-char sha
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assert "- [high] x:1" in body
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def test_format_review_body_empty_findings():
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body = format_review_body("", "glm-5.2:cloud", "abcdef1234567890")
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assert "No issues found." in body
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def test_format_review_body_whitespace_findings():
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body = format_review_body(" \n ", "glm-5.2:cloud", "abcdef1234567890")
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assert "No issues found." in body
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def test_format_review_body_no_sha():
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body = format_review_body("- [low] y:2 — nit", "glm-5.2:cloud", "")
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assert "`unknown`" in body
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# ---------------------------------------------------------------------------
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# build_user_prompt
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# ---------------------------------------------------------------------------
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def test_build_user_prompt_includes_title_and_diff():
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p = build_user_prompt("Fix login", "Closes #1", "diff --git a/x b/x")
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assert "Fix login" in p
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assert "Closes #1" in p
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assert "diff --git a/x b/x" in p
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def test_build_user_prompt_truncates_long_body():
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long_body = "B" * 6000
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p = build_user_prompt("t", long_body, "d")
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assert "[PR body truncated]" in p
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assert p.count("B") < 6000
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def test_build_user_prompt_no_body():
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p = build_user_prompt("t", "", "d")
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assert "Description:" not in p
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def test_build_user_prompt_with_config_and_prior():
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cfg = {"focus": ["security"], "instructions": "Use Result<T,E>."}
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prior = ["🤖 **AI Review** …\n- [high] x:1 — old."]
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p = build_user_prompt("t", "b", "diff --git a/x b/x", config=cfg, prior_reviews=prior)
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assert "## Repo review config" in p
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assert "security" in p
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assert "Result<T,E>" in p
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assert "## PREVIOUS REVIEWS" in p
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assert "old." in p
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# ---------------------------------------------------------------------------
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# parse_diff_anchors
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# ---------------------------------------------------------------------------
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_DIFF = """\
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diff --git a/src/a.py b/src/a.py
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index 1..2 100644
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--- a/src/a.py
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+++ b/src/a.py
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@@ -1,4 +1,5 @@
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context
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-removed
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+added
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context2
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@@ -10,3 +10,4 @@
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keep
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+new
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last
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diff --git a/binary.bin b/binary.bin
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new file mode 100644
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index 0..1
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Binary files differ
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"""
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def test_parse_diff_anchors_context_and_added():
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a = parse_diff_anchors(_DIFF)
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# context(1), +added(2), context2(3) | keep(10), +new(11), last(12)
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assert a["src/a.py"] == {1, 2, 3, 10, 11, 12}
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# removed line (-removed, old line 2) has no new-line anchor
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assert 2 in a["src/a.py"] # 2 here is the +added line, not the removed one
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def test_parse_diff_anchors_binary_file_present_no_lines():
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a = parse_diff_anchors(_DIFF)
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assert "binary.bin" in a
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assert a["binary.bin"] == set()
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def test_parse_diff_anchors_empty():
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assert parse_diff_anchors("") == {}
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assert parse_diff_anchors(None) == {} # type: ignore[arg-type]
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def test_parse_diff_anchors_new_file():
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diff = "diff --git a/new.ts b/new.ts\nnew file mode 100644\n--- /dev/null\n+++ b/new.ts\n@@ -0,0 +1,3 @@\n+a\n+b\n+c\n"
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a = parse_diff_anchors(diff)
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assert a["new.ts"] == {1, 2, 3}
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# ---------------------------------------------------------------------------
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# parse_findings
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# ---------------------------------------------------------------------------
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def test_parse_findings_clean_json():
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txt = '{"findings":[{"severity":"high","path":"a.py","line":3,"problem":"x","fix":"y","suggestion":"z"}]}'
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fs = parse_findings(txt)
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assert len(fs) == 1
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assert fs[0]["severity"] == "high"
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assert fs[0]["path"] == "a.py"
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assert fs[0]["line"] == 3
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def test_parse_findings_fenced_json():
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txt = '```json\n{"findings":[{"severity":"low","path":"b.go","line":1,"problem":"p","fix":"","suggestion":""}]}\n```'
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fs = parse_findings(txt)
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assert len(fs) == 1
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assert fs[0]["path"] == "b.go"
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def test_parse_findings_json_in_prose():
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txt = 'Here is my review: {"findings":[{"severity":"critical","path":"c","line":9,"problem":"q"}]} thanks!'
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fs = parse_findings(txt)
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assert len(fs) == 1
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assert fs[0]["severity"] == "critical"
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def test_parse_findings_empty():
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assert parse_findings('{"findings":[]}') == []
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assert parse_findings("") == []
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assert parse_findings("not json at all") == []
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def test_parse_findings_drops_bad_entries():
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# missing path, bad line, unknown severity (normalised)
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txt = '{"findings":[{"line":1},{"path":"x","line":-1},{"path":"x","line":2,"severity":"bogus","problem":"p"}]}'
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fs = parse_findings(txt)
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assert len(fs) == 1
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assert fs[0]["severity"] == "medium"
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# ---------------------------------------------------------------------------
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# split_findings + inline_comment_body + summary_bullets
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# ---------------------------------------------------------------------------
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def test_split_findings_by_anchor():
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anchors = {"a.py": {1, 3, 4}}
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fs = [
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{"severity": "high", "path": "a.py", "line": 3, "problem": "p", "fix": "f", "suggestion": ""},
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{"severity": "low", "path": "a.py", "line": 99, "problem": "off", "fix": "", "suggestion": ""},
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{"severity": "medium", "path": "other.go", "line": 1, "problem": "x", "fix": "", "suggestion": ""},
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]
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anchored, unanchored = split_findings(fs, anchors)
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assert [f["line"] for f in anchored] == [3]
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assert len(unanchored) == 2
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def test_inline_comment_body_with_suggestion():
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f = {"severity": "high", "path": "a", "line": 1, "problem": "bad", "fix": "swap", "suggestion": "good()"}
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body = inline_comment_body(f)
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assert "**[HIGH]**" in body
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assert "bad" in body
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# no extension → bare fence (Gitea 1.26.x has no apply-suggestion; we tag
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# with the file language for highlighting instead of ```suggestion)
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assert "```\ngood()\n```" in body
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assert "good()" in body
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def test_inline_comment_body_suggestion_lang_tagged():
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f = {"severity": "high", "path": "src/Foo.java", "line": 1,
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"problem": "bad", "fix": "swap", "suggestion": "good();"}
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body = inline_comment_body(f)
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assert "```java\ngood();\n```" in body
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def test_inline_comment_body_no_suggestion():
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f = {"severity": "low", "path": "a", "line": 1, "problem": "p", "fix": "f", "suggestion": ""}
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body = inline_comment_body(f)
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assert "```" not in body
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assert "Fix: f" in body
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def test_summary_bullets_format():
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fs = [{"severity": "high", "path": "a.py", "line": 7, "problem": "p", "fix": "f", "suggestion": ""}]
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b = summary_bullets(fs)
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assert "- **[HIGH]**" in b
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assert "`a.py:7`" in b
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# ---------------------------------------------------------------------------
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# repo config parsing
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# ---------------------------------------------------------------------------
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def test_parse_repo_config_full():
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raw = '{"focus":["security","perf"],"exclude_paths":["vendor/**"],"languages":["go"],"instructions":"be strict"}'
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c = parse_repo_config(raw)
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assert c["focus"] == ["security", "perf"]
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assert c["exclude_paths"] == ["vendor/**"]
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assert c["instructions"] == "be strict"
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def test_parse_repo_config_partial_and_bad():
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assert parse_repo_config('{"focus":"not-a-list"}') == {}
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assert parse_repo_config('{"focus":["ok"]}') == {"focus": ["ok"]}
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assert parse_repo_config("") == {}
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assert parse_repo_config("not json") == {}
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assert parse_repo_config('{"instructions":" "}') == {}
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# ---------------------------------------------------------------------------
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# dedupe / prior-context parsing
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# ---------------------------------------------------------------------------
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def test_reviewed_shas_extracts_marker():
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reviews = [
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{"body": "🤖 AI Review · glm · `abcdef12`\n\n<!-- pragent:sha=abcdef1234567890 -->"},
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{"body": "human comment, no marker"},
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{"body": "<!-- pragent:sha=0987654 -->"},
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]
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shas = reviewed_shas(reviews)
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assert "abcdef1234567890" in shas
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assert "0987654" in shas
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def test_reviewed_shas_empty():
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assert reviewed_shas([]) == set()
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assert reviewed_shas([{"body": "no marker"}]) == set()
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def test_prior_review_bodies_skips_current_sha():
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reviews = [
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{"body": "r1\n<!-- pragent:sha=1111111 -->"},
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{"body": "r2\n<!-- pragent:sha=2222222 -->"},
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{"body": "no marker here"},
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]
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prior = prior_review_bodies(reviews, current_sha="2222222")
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assert len(prior) == 1
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assert "r1" in prior[0]
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def test_format_review_body_has_sha_marker():
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body = format_review_body("- [high] x:1 — b", "glm-5.2:cloud", "abcdef1234567890")
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assert "<!-- pragent:sha=abcdef1234567890 -->" in body
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# ---------------------------------------------------------------------------
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# parse_review_output (opencode engine: {summary, findings} + reference)
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# ---------------------------------------------------------------------------
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def test_parse_review_output_summary_and_findings():
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txt = (
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"This PR adds an eval helper — risky. See findings.\n\n"
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"```json\n"
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'{"summary":"Adds eval() — security risk.","findings":['
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'{"severity":"critical","path":"src/x.ts","line":4,"problem":"eval on user input",'
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'"fix":"parse explicitly","suggestion":"const n = Number(s)","reference":"https://owasp.org/x"}'
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"]}",
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"\n```",
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)
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summary, fs = parse_review_output("".join(txt))
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assert "eval()" in summary
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assert len(fs) == 1
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assert fs[0]["severity"] == "critical"
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assert fs[0]["reference"] == "https://owasp.org/x"
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assert fs[0]["suggestion"] == "const n = Number(s)"
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def test_parse_review_output_bare_findings_no_summary():
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txt = '```json\n{"findings":[{"severity":"low","path":"a","line":1,"problem":"p"}]}\n```'
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summary, fs = parse_review_output(txt)
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assert summary == ""
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assert len(fs) == 1
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assert fs[0]["reference"] == "" # default
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def test_parse_review_output_empty_and_bogus():
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assert parse_review_output("") == ("", [])
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assert parse_review_output("no json here") == ("", [])
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assert parse_review_output('{"findings":[]}') == ("", [])
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def test_parse_review_output_uses_last_json_block():
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# Agent emits a stray json-ish block first, then the real one last.
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txt = (
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"```json\n{\"findings\":[{\"path\":\"x\",\"line\":1,\"severity\":\"low\"}]}\n```\n"
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"more prose\n"
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"```json\n{\"summary\":\"real\",\"findings\":[{\"path\":\"y\",\"line\":2,\"severity\":\"high\"}]}\n```"
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)
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summary, fs = parse_review_output(txt)
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assert summary == "real"
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assert len(fs) == 1
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assert fs[0]["path"] == "y"
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# ---------------------------------------------------------------------------
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# reference rendering in inline_comment_body + summary_bullets + summary section
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# ---------------------------------------------------------------------------
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def test_inline_comment_body_renders_reference():
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f = {"severity": "high", "path": "a", "line": 1, "problem": "p", "fix": "f",
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"suggestion": "", "reference": "https://cve.example/X"}
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body = inline_comment_body(f)
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assert "📎 ref: https://cve.example/X" in body
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def test_inline_comment_body_no_reference_no_ref_line():
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f = {"severity": "low", "path": "a", "line": 1, "problem": "p", "fix": "",
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"suggestion": "", "reference": ""}
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assert "📎 ref" not in inline_comment_body(f)
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def test_summary_bullets_renders_reference():
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fs = [{"severity": "high", "path": "a.py", "line": 7, "problem": "p", "fix": "f",
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"suggestion": "", "reference": "https://r.example"}]
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b = summary_bullets(fs)
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assert "https://r.example" in b
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assert "`a.py:7`" in b
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def test_format_review_body_with_summary_section():
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body = format_review_body("- [high] x:1 — b", "glm-5.2:cloud", "abcdef1234567890",
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summary="This PR adds a risky helper.")
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assert "This PR adds a risky helper." in body
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assert "- [high] x:1" in body
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assert "<!-- pragent:sha=abcdef1234567890 -->" in body
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# summary appears before the findings bullets
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assert body.index("risky helper") < body.index("[high]")
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# ---------------------------------------------------------------------------
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# AI-USAGE: compute_attribution + format_usage_section + inline 🪙 line
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# ---------------------------------------------------------------------------
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def test_compute_attribution_weighted_split():
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# weights 1 (problem="a") and 3 (problem="aaa"), output 100 → 25 / 75
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fs = [
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{"severity": "high", "path": "x", "line": 1, "problem": "a", "fix": "", "suggestion": ""},
|
|
{"severity": "low", "path": "x", "line": 2, "problem": "aaa", "fix": "", "suggestion": ""},
|
|
]
|
|
compute_attribution(fs, 100)
|
|
assert fs[0]["_tok_attrib"] == 25
|
|
assert fs[1]["_tok_attrib"] == 75
|
|
assert abs(fs[0]["_tok_pct"] - 0.25) < 1e-9
|
|
assert abs(fs[1]["_tok_pct"] - 0.75) < 1e-9
|
|
|
|
|
|
def test_compute_attribution_zero_weights_splits_evenly():
|
|
fs = [
|
|
{"severity": "high", "path": "x", "line": 1, "problem": "", "fix": "", "suggestion": ""},
|
|
{"severity": "low", "path": "x", "line": 2, "problem": "", "fix": "", "suggestion": ""},
|
|
]
|
|
compute_attribution(fs, 80)
|
|
assert fs[0]["_tok_attrib"] == 40
|
|
assert fs[1]["_tok_attrib"] == 40
|
|
assert abs(fs[0]["_tok_pct"] - 0.5) < 1e-9
|
|
|
|
|
|
def test_compute_attribution_noop_on_empty_or_zero_budget():
|
|
fs = [{"severity": "high", "path": "x", "line": 1, "problem": "a", "fix": "", "suggestion": ""}]
|
|
compute_attribution([], 100)
|
|
compute_attribution(fs, 0)
|
|
assert "_tok_attrib" not in fs[0]
|
|
|
|
|
|
def test_inline_comment_body_with_attribution_line():
|
|
f = {"severity": "high", "path": "a", "line": 1, "problem": "bad", "fix": "swap",
|
|
"suggestion": "", "_tok_attrib": 180, "_tok_pct": 0.29}
|
|
body = inline_comment_body(f)
|
|
assert "🪙 ~180 tok" in body
|
|
assert "29%" in body
|
|
assert "attributed output" in body
|
|
|
|
|
|
def test_inline_comment_body_no_attribution_no_coin_line():
|
|
f = {"severity": "high", "path": "a", "line": 1, "problem": "bad", "fix": "swap",
|
|
"suggestion": ""}
|
|
assert "🪙" not in inline_comment_body(f)
|
|
|
|
|
|
def test_format_usage_section_renders_totals_and_table():
|
|
fs = [
|
|
{"severity": "critical", "path": "src/Foo.java", "line": 98,
|
|
"problem": "p"*10, "fix": "f", "suggestion": "", "_tok_attrib": 180, "_tok_pct": 0.29},
|
|
]
|
|
usage = {"input": 18420, "output": 612, "reasoning": 0, "cache_read": 15210,
|
|
"cache_write": 0, "total": 19032, "cost": 0.0, "steps": 7, "duration_s": 142.0}
|
|
sec = format_usage_section(usage, fs, "glm-5.2:cloud")
|
|
assert "## 🔋 AI usage" in sec
|
|
assert "`glm-5.2:cloud`" in sec
|
|
assert "agent steps: 7" in sec
|
|
assert "duration: 142.0s" in sec
|
|
assert "18420 in" in sec and "612 out" in sec and "19032 total" in sec
|
|
assert "$0.00" in sec
|
|
assert "whole-repo checkout" in sec
|
|
assert "attributed" in sec
|
|
# table
|
|
assert "| severity | location | ≈out tok | % |" in sec
|
|
assert "CRITICAL" in sec
|
|
assert "`src/Foo.java:98`" in sec
|
|
assert "180" in sec and "29%" in sec
|
|
|
|
|
|
def test_format_usage_section_omits_table_when_no_attributed_rows():
|
|
usage = {"input": 10, "output": 0, "reasoning": 0, "cache_read": 0,
|
|
"cache_write": 0, "total": 10, "cost": 0.0, "steps": 1, "duration_s": 1.0}
|
|
sec = format_usage_section(usage, [], "glm-5.2:cloud")
|
|
assert "## 🔋 AI usage" in sec
|
|
assert "severity | location" not in sec # no rows → no table
|
|
|
|
|
|
def test_format_usage_section_none_returns_empty():
|
|
assert format_usage_section(None, [], "m") == ""
|
|
|
|
|
|
def test_format_usage_section_cost_nonzero():
|
|
usage = {"input": 10, "output": 0, "reasoning": 0, "cache_read": 0,
|
|
"cache_write": 0, "total": 10, "cost": 0.0123, "steps": 1, "duration_s": 1.0}
|
|
sec = format_usage_section(usage, [], "m")
|
|
assert "$0.0123" in sec
|
|
assert "billed by provider" in sec
|
|
|
|
|
|
def test_format_review_body_usage_section_between_summary_and_findings():
|
|
usage_sec = "## 🔋 AI usage\n\n- model: `m`"
|
|
body = format_review_body("- [high] x:1 — b", "glm-5.2:cloud", "abcdef1234567890",
|
|
summary="This PR is risky.", usage_section=usage_sec)
|
|
# order: header < summary < usage < findings < marker
|
|
assert body.index("risky.") < body.index("AI usage")
|
|
assert body.index("AI usage") < body.index("[high]")
|
|
assert body.index("[high]") < body.index("<!-- pragent:sha=")
|
|
assert "## 🔋 AI usage" in body
|
|
|
|
|
|
def test_format_review_body_no_usage_section_omitted():
|
|
body = format_review_body("- [high] x:1 — b", "glm-5.2:cloud", "abcdef1234567890")
|
|
assert "AI usage" not in body |