feat(agent): 增加 LLM 路由与诊断日志

review_agent/file_summary/skills/archive_extract.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import logging
 from pathlib import Path
 
 from review_agent.models import FileSummaryBatchAttachment
@@ -9,6 +10,9 @@ from ..services.archive import ARCHIVE_EXTENSIONS, extract_archive
 from .base import BaseSkill, SkillResult, WorkflowContext
 
 
+logger = logging.getLogger("review_agent.file_summary.skills.archive_extract")
+
+
 class ArchiveExtractSkill(BaseSkill):
     name = "archive_extract"
 
@@ -16,11 +20,27 @@ class ArchiveExtractSkill(BaseSkill):
         extracted_count = 0
         target_dir = Path(context.batch.work_dir or "")
         if not target_dir:
+            logger.info(
+                "Archive extract skipped without work dir",
+                extra={"batch_id": context.batch.pk, "batch_no": context.batch.batch_no},
+            )
             return SkillResult(success=True, data={"extracted_count": 0})
 
         for binding in FileSummaryBatchAttachment.objects.filter(batch=context.batch):
             path = resolve_storage_path(binding.attachment.storage_path)
             if path.suffix.lower().lstrip(".") not in ARCHIVE_EXTENSIONS:
                 continue
+            logger.info(
+                "Archive extract started",
+                extra={
+                    "batch_id": context.batch.pk,
+                    "attachment_id": binding.attachment_id,
+                    "path": str(path),
+                },
+            )
             extracted_count += len(extract_archive(path, target_dir))
+        logger.info(
+            "Archive extract finished",
+            extra={"batch_id": context.batch.pk, "extracted_count": extracted_count},
+        )
         return SkillResult(success=True, data={"extracted_count": extracted_count})