open-swe/tests/test_reviewer_tools.py

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feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
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"""Unit tests for the add_finding / update_finding / list_findings tools."""
from __future__ import annotations
from typing import Any
from unittest.mock import AsyncMock, patch
from agent.tools.add_finding import add_finding
from agent.tools.list_findings import list_findings
from agent.tools.update_finding import update_finding
def _config(**configurable_overrides: Any) -> dict[str, Any]:
base: dict[str, Any] = {
"configurable": {
"thread_id": "tid-1",
"head_sha": "sha-head",
"diff_text": "",
"diff_line_set": {"foo.py": list(range(10, 41))},
feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
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},
"metadata": {},
}
base["configurable"].update(configurable_overrides)
return base
def test_add_finding_rejects_invalid_severity() -> None:
with patch("agent.tools.add_finding.get_config", return_value=_config()):
result = add_finding(
severity="trivial",
feat: tune reviewer for precision — web/wiki tools + recalibrated prompt (#1312) * feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
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confidence="high",
feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
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category="x",
file="foo.py",
description="d",
start_line=11,
end_line=11,
)
assert result["success"] is False
assert "severity" in result["error"].lower()
def test_add_finding_rejects_out_of_diff_lines() -> None:
with patch("agent.tools.add_finding.get_config", return_value=_config()):
result = add_finding(
severity="high",
feat: tune reviewer for precision — web/wiki tools + recalibrated prompt (#1312) * feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-20 11:35:00 -07:00
confidence="high",
feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
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category="correctness",
file="foo.py",
description="d",
start_line=99,
end_line=99,
)
assert result["success"] is False
assert "not part of the PR diff" in result["error"]
feat: tune reviewer for precision — web/wiki tools + recalibrated prompt (#1312) * feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-20 11:35:00 -07:00
def test_add_finding_rejects_invalid_confidence() -> None:
with patch("agent.tools.add_finding.get_config", return_value=_config()):
result = add_finding(
severity="high",
confidence="certain",
category="correctness",
file="foo.py",
description="d",
start_line=11,
end_line=11,
)
assert result["success"] is False
assert "confidence" in result["error"].lower()
feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
2026-05-07 14:48:43 -07:00
def test_add_finding_persists_to_thread_metadata() -> None:
captured: list[Any] = []
async def fake_append(thread_id: str, finding: Any) -> Any:
captured.append((thread_id, finding))
return finding
with (
patch("agent.tools.add_finding.get_config", return_value=_config()),
patch("agent.tools.add_finding.get_thread_id_from_runtime", return_value="tid-1"),
patch("agent.tools.add_finding.append_finding", side_effect=fake_append),
):
result = add_finding(
severity="medium",
feat: tune reviewer for precision — web/wiki tools + recalibrated prompt (#1312) * feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-20 11:35:00 -07:00
confidence="high",
feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
2026-05-07 14:48:43 -07:00
category="style",
file="foo.py",
description="rename",
start_line=11,
end_line=12,
suggestion="renamed = 1",
)
assert result["success"] is True
assert "finding_id" in result
persisted_thread, persisted = captured[0]
assert persisted_thread == "tid-1"
assert persisted["file"] == "foo.py"
assert persisted["start_line"] == 11
assert persisted["end_line"] == 12
feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
2026-05-07 14:48:43 -07:00
assert persisted["suggestion"] == "renamed = 1"
assert persisted["status"] == "open"
assert persisted["first_seen_sha"] == "sha-head"
feat: tune reviewer for precision — web/wiki tools + recalibrated prompt (#1312) * feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-20 11:35:00 -07:00
assert persisted["confidence"] == "high"
feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
2026-05-07 14:48:43 -07:00
def test_add_finding_allows_file_level_with_no_lines() -> None:
with (
patch("agent.tools.add_finding.get_config", return_value=_config()),
patch("agent.tools.add_finding.get_thread_id_from_runtime", return_value="tid-1"),
patch(
"agent.tools.add_finding.append_finding",
new_callable=AsyncMock,
side_effect=lambda _t, f: f,
),
):
result = add_finding(
severity="low",
feat: tune reviewer for precision — web/wiki tools + recalibrated prompt (#1312) * feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-20 11:35:00 -07:00
confidence="medium",
feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
2026-05-07 14:48:43 -07:00
category="style",
file="missing.py",
description="file-level note",
)
assert result["success"] is True
def test_update_finding_rejects_invalid_status() -> None:
with patch("agent.tools.update_finding.get_config", return_value=_config()):
result = update_finding(finding_id="f_x", status="archived")
assert result["success"] is False
def test_update_finding_rejects_empty_update() -> None:
with patch("agent.tools.update_finding.get_config", return_value=_config()):
result = update_finding(finding_id="f_x")
assert result["success"] is False
assert "No fields" in result["error"]
def test_add_finding_drops_long_suggestion() -> None:
captured: list[Any] = []
async def fake_append(thread_id: str, finding: Any) -> Any:
captured.append(finding)
return finding
long_suggestion = "\n".join(f"line_{i}" for i in range(6))
with (
patch("agent.tools.add_finding.get_config", return_value=_config()),
patch("agent.tools.add_finding.get_thread_id_from_runtime", return_value="tid-1"),
patch("agent.tools.add_finding.append_finding", side_effect=fake_append),
):
result = add_finding(
severity="medium",
feat: tune reviewer for precision — web/wiki tools + recalibrated prompt (#1312) * feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-20 11:35:00 -07:00
confidence="high",
category="style",
file="foo.py",
description="rewrite",
start_line=11,
end_line=12,
suggestion=long_suggestion,
)
assert result["success"] is True
assert result.get("suggestion_dropped") is True
assert "warning" in result
assert captured[0]["suggestion"] is None
def test_add_finding_keeps_short_suggestion() -> None:
captured: list[Any] = []
async def fake_append(thread_id: str, finding: Any) -> Any:
captured.append(finding)
return finding
short_suggestion = "a\nb\nc\nd" # exactly 4 lines — at the cap
with (
patch("agent.tools.add_finding.get_config", return_value=_config()),
patch("agent.tools.add_finding.get_thread_id_from_runtime", return_value="tid-1"),
patch("agent.tools.add_finding.append_finding", side_effect=fake_append),
):
result = add_finding(
severity="medium",
feat: tune reviewer for precision — web/wiki tools + recalibrated prompt (#1312) * feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-20 11:35:00 -07:00
confidence="medium",
category="style",
file="foo.py",
description="rename",
start_line=11,
end_line=12,
suggestion=short_suggestion,
)
assert result["success"] is True
assert "suggestion_dropped" not in result
assert captured[0]["suggestion"] == short_suggestion
def test_add_finding_preserves_multi_line_range() -> None:
"""Multi-line ranges are preserved end-to-end (no collapse to start_line)."""
captured: list[Any] = []
async def fake_append(thread_id: str, finding: Any) -> Any:
captured.append(finding)
return finding
with (
patch("agent.tools.add_finding.get_config", return_value=_config()),
patch("agent.tools.add_finding.get_thread_id_from_runtime", return_value="tid-1"),
patch("agent.tools.add_finding.append_finding", side_effect=fake_append),
):
result = add_finding(
severity="low",
feat: tune reviewer for precision — web/wiki tools + recalibrated prompt (#1312) * feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-20 11:35:00 -07:00
confidence="low",
category="style",
file="foo.py",
description="span the relevant range",
start_line=15,
end_line=19,
)
assert result["success"] is True
assert captured[0]["start_line"] == 15
assert captured[0]["end_line"] == 19
def test_update_finding_rejects_long_suggestion_without_clobbering() -> None:
"""Over-cap suggestion alongside other fields: drop suggestion, keep the rest."""
captured: list[Any] = []
async def fake_update(thread_id: str, finding_id: str, updates: Any) -> Any:
captured.append(updates)
return {"id": finding_id, **updates}
long_suggestion = "\n".join(f"line_{i}" for i in range(6))
with (
patch("agent.tools.update_finding.get_config", return_value=_config()),
patch("agent.tools.update_finding.get_thread_id_from_runtime", return_value="tid-1"),
patch("agent.tools.update_finding.update_finding_fields", side_effect=fake_update),
):
result = update_finding(
finding_id="f_a",
description="updated description",
suggestion=long_suggestion,
)
assert result["success"] is True
assert result.get("suggestion_dropped") is True
assert "suggestion" not in captured[0]
assert captured[0]["description"] == "updated description"
def test_update_finding_long_suggestion_only_returns_failure() -> None:
"""Over-cap suggestion as the only field: fail outright rather than no-op."""
long_suggestion = "\n".join(f"line_{i}" for i in range(6))
with (
patch("agent.tools.update_finding.get_config", return_value=_config()),
patch("agent.tools.update_finding.get_thread_id_from_runtime", return_value="tid-1"),
):
result = update_finding(finding_id="f_a", suggestion=long_suggestion)
assert result["success"] is False
assert result.get("suggestion_dropped") is True
assert "cap" in result["error"]
def test_update_finding_empty_string_clears_suggestion() -> None:
captured: list[Any] = []
async def fake_update(thread_id: str, finding_id: str, updates: Any) -> Any:
captured.append(updates)
return {"id": finding_id, **updates}
with (
patch("agent.tools.update_finding.get_config", return_value=_config()),
patch("agent.tools.update_finding.get_thread_id_from_runtime", return_value="tid-1"),
patch("agent.tools.update_finding.update_finding_fields", side_effect=fake_update),
):
result = update_finding(finding_id="f_a", suggestion="")
assert result["success"] is True
assert captured[0]["suggestion"] is None
feat: implement reviewer findings, publish_review, and watch mode (#1253) * feat: implement reviewer findings, publish_review, and watch mode Build out the reviewer agent end-to-end against the design in REVIEWER_DESIGN.md: - Findings as first-class state on the reviewer thread metadata (`agent/reviewer_findings.py`): Finding TypedDict with start_line/end_line ranges, suggestion text for ```suggestion blocks, github_review_comment_id for cross-run reconciliation, diff_hunk for UI rendering. Thread-level metadata gets `kind=reviewer`, `pr`, `last_reviewed_sha`, `watch` so a future frontend can list reviewer threads via the langgraph SDK. - Diff utilities (`agent/reviewer_diff.py`): parse_unified_diff, compute_diff_line_set for in-diff validation, extract_diff_hunk for caching the hunk on a Finding, compute_diff_in_sandbox for SHA-to-SHA diffs against the prepped repo. - Tools: `add_finding` (validates against the diff line set so out-of-diff ranges fail at creation, not at GitHub-publish), `update_finding`, `list_findings`, `publish_review`. The reviewer agent's tool list is swapped from `[]` (direct shell `gh api` calls) to these four. - Publish path (`agent/reviewer_publish.py` + `agent/tools/publish_review.py`): one POST /reviews call with body + inline comments + ```suggestion blocks, per-comment IDs stored back on findings, GraphQL `resolveReviewThread` fired for findings transitioning open->resolved on a re-review. - Reviewer graph: deterministic clone-or-fetch + checkout in the factory before the agent's first model call (warm- and cold-path symmetric); computed diff and in-diff line set passed via runnable config; system prompt rewritten for the single-evolving-findings model, severity ladder, in-diff-only discipline, and watch-mode reconciliation flow. - Watch mode in webapp.py: `push` event + `pull_request` closed/reopened added to supported events. New `process_github_push_event` resolves the open PR for the pushed branch, gates on the reviewer thread's `watch` flag, builds a re-review configurable, and triggers a run on the same canonical thread. `process_github_pr_close` toggles watch on closed/reopened. `set_reviewer_thread_metadata` is called on first review to install `kind=reviewer` + PR identity + watch=True. - Eval harness: target.py now extracts `add_finding` calls (mapped to the legacy {file, line, body, severity} shape the judge expects) and passes the right configurable so the prep step has base/head SHAs. - Tests: new unit suites for findings helpers, diff parsing, finding tools, publish rendering + GraphQL resolve, and watch-mode webhook handlers (push triggers re-review only when watching, idempotent on unchanged head SHA, PR close disables watch). Updated existing reviewer-webhook tests to mock `set_reviewer_thread_metadata`. - REVIEWER_EVAL_PLAN.md removed per user request; folded relevant context into REVIEWER_DESIGN.md. * fix(reviewer): correct git diff flags, scope, dedup, and review-comments URL Address PR #1253 review findings: - compute_diff_in_sandbox dropped the invalid `--no-prefix=false` flag (`option no-prefix takes no value` — every prep run was failing silently and the agent saw an empty diff). - compute_diff_in_sandbox grew a `merge_base` flag. First-review path now uses three-dot `base...head` (the merge-base diff GitHub renders on Files-changed) so we don't pick up changes that landed on the base branch after the PR diverged. Re-review delta keeps two-dot `last_reviewed_sha..head` since that's exactly the new commits. - publish_review skips findings that already carry `github_review_comment_id`. Without this, watched re-reviews re-posted every previously surfaced finding, and only the most-recent duplicate's id would later resolve when the issue got addressed. - fetch_review_comments URL now includes `{pull_number}` — `/repos/{owner}/{repo}/pulls/{pr_number}/reviews/{review_id}/comments` is the canonical endpoint; the old form 404s, so comment ids were never stored and watch-mode resolution couldn't run. Three new tests cover: three-dot vs two-dot wiring, no `--no-prefix` flag in the executed command, and that publish_review does not re-post findings whose `github_review_comment_id` is set. * fix(reviewer): default publish cap from 15 to 4 A clean PR with one critical issue padded out by three lower-severity findings is fine; fifteen is review spam. The agent can override per call when a PR genuinely warrants more.
2026-05-07 14:48:43 -07:00
def test_update_finding_passes_through_fields() -> None:
captured: list[Any] = []
async def fake_update(thread_id: str, finding_id: str, updates: Any) -> Any:
captured.append((thread_id, finding_id, updates))
return {"id": finding_id, **updates}
with (
patch("agent.tools.update_finding.get_config", return_value=_config()),
patch("agent.tools.update_finding.get_thread_id_from_runtime", return_value="tid-1"),
patch("agent.tools.update_finding.update_finding_fields", side_effect=fake_update),
):
result = update_finding(
finding_id="f_a",
status="resolved",
note="addressed by new commit",
)
assert result["success"] is True
_t, fid, updates = captured[0]
assert fid == "f_a"
assert updates["status"] == "resolved"
assert updates["last_update_note"] == "addressed by new commit"
def test_list_findings_filters_by_status() -> None:
findings = [
{"id": "f_a", "status": "open"},
{"id": "f_b", "status": "resolved"},
{"id": "f_c", "status": "open"},
]
async def fake_list(_thread_id: str) -> list[Any]:
return findings
cfg = _config()
with (
patch("agent.tools.list_findings.get_thread_id_from_runtime", return_value="tid-1"),
patch("agent.tools.list_findings.list_findings_async", side_effect=fake_list),
patch("agent.tools.add_finding.get_config", return_value=cfg),
):
result = list_findings(status_filter="open")
assert result["count"] == 2
assert [f["id"] for f in result["findings"]] == ["f_a", "f_c"]
def test_list_findings_returns_all_when_filter_omitted() -> None:
findings = [{"id": "f_a", "status": "open"}, {"id": "f_b", "status": "resolved"}]
async def fake_list(_thread_id: str) -> list[Any]:
return findings
with (
patch("agent.tools.list_findings.get_thread_id_from_runtime", return_value="tid-1"),
patch("agent.tools.list_findings.list_findings_async", side_effect=fake_list),
):
result = list_findings()
assert result["count"] == 2