Merge pull request 'fix: [bug] IR 覆盖率回归:Layer B 从 92.6% 降至 63% + Layer A 新 schema 错误 - 来自 #18 - Closes #57' (#59) from dev/issue-57-fix-coverage-regression into main

This commit is contained in:
2026-06-02 16:17:50 +08:00
committed by Peter Zhang
4 changed files with 89 additions and 39 deletions
+40 -29
View File
@@ -56,6 +56,25 @@ def _req(method, path, data=None):
sys.exit(1)
def _req_safe(method, path, data=None):
"""Like _req but returns None on HTTPError. Safe for probing existence."""
url = f"{BASE}{path}"
payload = json.dumps(data).encode("utf-8") if data else None
req = urllib.request.Request(url, data=payload, method=method)
req.add_header("Authorization", f"token {GITEA_TOKEN}")
req.add_header("Content-Type", "application/json")
try:
with urllib.request.urlopen(req) as resp:
raw = resp.read()
if not raw:
return {}
return json.loads(raw)
except urllib.error.HTTPError as e:
body = e.read().decode()
print(f"API Error {e.code}: {body}", file=sys.stderr)
return None
# ── Issue operations ─────────────────────────────────────────────────────────
def list_issues(labels: list[str] | None = None):
@@ -82,17 +101,17 @@ def _get_blocking_refs(issue_num: int) -> set[int]:
"""
refs: set[int] = set()
# Body
issue = _req("GET", f"/issues/{issue_num}")
issue = _req_safe("GET", f"/issues/{issue_num}")
if issue is None:
return refs
body = issue.get("body", "") or ""
refs.update(int(m.group(1)) for m in re.finditer(r'#(\d+)', body))
# Comments
try:
comments = _req("GET", f"/issues/{issue_num}/comments")
comments = _req_safe("GET", f"/issues/{issue_num}/comments")
if comments:
for c in comments:
cbody = c.get("body", "") or ""
refs.update(int(m.group(1)) for m in re.finditer(r'#(\d+)', cbody))
except SystemExit:
pass
return refs
@@ -103,12 +122,7 @@ def blocked_check():
If no references found or all referenced issues are closed,
removes the 'blocked' label.
"""
try:
all_blocked = _req("GET", "/issues?state=open&labels=blocked")
except SystemExit:
print("No blocked issues found.")
return
all_blocked = _req_safe("GET", "/issues?state=open&labels=blocked")
if not all_blocked:
print("No blocked issues found.")
return
@@ -119,13 +133,13 @@ def blocked_check():
all_resolved = True
for blk in blocking_nums:
try:
blk_issue = _req("GET", f"/issues/{blk}")
if blk_issue.get("state") != "closed":
all_resolved = False
break
except SystemExit:
pass
blk_issue = _req_safe("GET", f"/issues/{blk}")
if blk_issue is None:
all_resolved = False
break
if blk_issue.get("state") != "closed":
all_resolved = False
break
if all_resolved:
current_label_names = [l["name"] for l in issue.get("labels", [])]
@@ -179,10 +193,7 @@ def _unblock_issues_blocked_by(closed_num):
in any blocked issue and all referenced issues are now closed,
removes the 'blocked' label and comments on the unblocked issue.
"""
try:
all_blocked = _req("GET", "/issues?state=open&labels=blocked")
except SystemExit:
return
all_blocked = _req_safe("GET", "/issues?state=open&labels=blocked")
if not all_blocked:
return
@@ -196,13 +207,13 @@ def _unblock_issues_blocked_by(closed_num):
for blk in blocking_nums:
if blk == closed_num:
continue
try:
blk_issue = _req("GET", f"/issues/{blk}")
if blk_issue.get("state") != "closed":
all_resolved = False
break
except SystemExit:
pass # Inaccessible → treat as resolved
blk_issue = _req_safe("GET", f"/issues/{blk}")
if blk_issue is None:
all_resolved = False
break
if blk_issue.get("state") != "closed":
all_resolved = False
break
if all_resolved:
current_label_names = [l["name"] for l in issue.get("labels", [])]
@@ -880,7 +880,7 @@ def run_ensemble_semantic_index(doc: dict) -> dict:
if v:
print(f" {k}: {len(v)} 个问题")
# Feedback retry: re-run with coverage feedback (up to 2 retries)
# Feedback retry: re-run with coverage feedback (up to 2 retries, quality-gated)
retry_count = 0
while retry_count < 2:
feedback = _build_coverage_feedback(gaps)
@@ -889,6 +889,10 @@ def run_ensemble_semantic_index(doc: dict) -> dict:
retry_count += 1
print(f"\n 覆盖反馈重试 #{retry_count} (feedback长度={len(feedback)}字符)...", flush=True)
try:
# record pre-retry coverage to gate quality
pre_warnings = len(gaps.get("coverage_warnings", []))
pre_missing_rows = len(gaps.get("missing_table_rows", []))
retry_prompt = build_prompt(doc, feedback, all_paths)
print(f" 重试 prompt 长度: {len(retry_prompt)} 字符", flush=True)
retry_result = call_llm(retry_prompt, max_retries=1, temperature=0.3)
@@ -902,15 +906,28 @@ def run_ensemble_semantic_index(doc: dict) -> dict:
if src.get("section"):
retry_sections.add(src["section"])
print(f" 重试新增 sections: {sorted(retry_sections)}", flush=True)
semantic_indices.append(retry_result)
merged = ensemble_merge(semantic_indices)
merged["ensemble_temperatures"] = list(temperatures) + [f"feedback_retry_{retry_count}"]
passed, gaps = _quick_validate(merged, doc, all_paths)
merged["validation_passed"] = passed
merged["validation_gaps"] = {
k: v for k, v in gaps.items() if v
}
print(f" 重试后验证: {'PASS' if passed else 'GAPS FOUND'}", flush=True)
# Quality gate: only include retry if it improves coverage
trial_indices = semantic_indices + [retry_result]
trial_merged = ensemble_merge(trial_indices)
trial_passed, trial_gaps = _quick_validate(trial_merged, doc, all_paths)
trial_warnings = len(trial_gaps.get("coverage_warnings", []))
trial_missing = len(trial_gaps.get("missing_table_rows", []))
if trial_warnings < pre_warnings or trial_missing < pre_missing_rows:
semantic_indices.append(retry_result)
merged = trial_merged
passed, gaps = trial_passed, trial_gaps
merged["ensemble_temperatures"] = list(temperatures) + [f"feedback_retry_{retry_count}"]
merged["validation_passed"] = passed
merged["validation_gaps"] = {
k: v for k, v in gaps.items() if v
}
print(f" 重试后验证 (已采纳): {'PASS' if passed else 'GAPS FOUND'} "
f"(warnings {pre_warnings}{trial_warnings}, "
f"missing_rows {pre_missing_rows}{trial_missing})", flush=True)
else:
print(f" 重试结果未提升覆盖率,丢弃 "
f"(warnings {pre_warnings}{trial_warnings}, "
f"missing_rows {pre_missing_rows}{trial_missing})", flush=True)
except Exception as e:
print(f" 覆盖反馈重试失败: {e}", flush=True)
import traceback
@@ -170,8 +170,11 @@ def _normalize_rule(rule: dict) -> dict:
}]
# Ensure table/text sources have a section field (defensive against LLM omission)
# Also normalize invalid source types (LLM hallucinations like function_unit_description)
sources = rule.get("sources", [])
if sources:
valid_types = {"table", "text", "logic_tree"}
# try to infer a default section from sibling sources or the rule path
default_section = ""
for s in sources:
@@ -186,6 +189,10 @@ def _normalize_rule(rule: dict) -> dict:
for src in sources:
stype = src.get("type", "")
# Normalize invalid source types to "text"
if stype and stype not in valid_types:
src["type"] = "text"
stype = "text"
if stype in ("table", "text"):
if not src.get("section"):
src["section"] = default_section
@@ -511,3 +511,18 @@ class TestNormalizeRule:
}
normalized = _normalize_rule(rule)
assert "section" not in normalized["sources"][0]
def test_normalize_source_invalid_type(self):
"""Invalid source types (LLM hallucinations) are normalized to text."""
rule = {
"trigger": {"conditions": [{"signal": "x", "operator": "==", "value": "1"}]},
"sources": [
{"type": "function_unit_description", "text_snippet": "desc",
"section": "3.1 功能"},
{"type": "unknown_type", "text_snippet": "also invalid"},
],
}
normalized = _normalize_rule(rule)
assert normalized["sources"][0]["type"] == "text"
assert normalized["sources"][1]["type"] == "text"
assert normalized["sources"][0]["section"] == "3.1 功能"