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Feat: limit pipeline operation logs to 1000 records (#10341)
### What problem does this PR solve? Limit pipeline operation logs to 1000 records. ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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@ -15,6 +15,7 @@
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#
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import json
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import logging
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import os
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from datetime import datetime, timedelta
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from peewee import fn
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@ -81,9 +82,17 @@ class PipelineOperationLogService(CommonService):
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cls.model.update_date,
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]
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@classmethod
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def save(cls, **kwargs):
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"""
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wrap this function in a transaction
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"""
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sample_obj = cls.model(**kwargs).save(force_insert=True)
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return sample_obj
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@classmethod
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@DB.connection_context()
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def create(cls, document_id, pipeline_id, task_type, fake_document_ids=[], dsl:str="{}"):
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def create(cls, document_id, pipeline_id, task_type, fake_document_ids=[], dsl: str = "{}"):
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referred_document_id = document_id
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if referred_document_id == GRAPH_RAPTOR_FAKE_DOC_ID and fake_document_ids:
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@ -163,7 +172,19 @@ class PipelineOperationLogService(CommonService):
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log["create_date"] = datetime_format(datetime.now())
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log["update_time"] = current_timestamp()
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log["update_date"] = datetime_format(datetime.now())
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obj = cls.save(**log)
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with DB.atomic():
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obj = cls.save(**log)
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limit = int(os.getenv("PIPELINE_OPERATION_LOG_LIMIT", 1))
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total = cls.model.select().where(cls.model.kb_id == document.kb_id).count()
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if total > limit:
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keep_ids = [m.id for m in cls.model.select(cls.model.id).where(cls.model.kb_id == document.kb_id).order_by(cls.model.create_time.desc()).limit(limit)]
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deleted = cls.model.delete().where(cls.model.kb_id == document.kb_id, cls.model.id.not_in(keep_ids)).execute()
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logging.info(f"[PipelineOperationLogService] Cleaned {deleted} old logs, kept latest {limit} for {document.kb_id}")
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return obj
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@classmethod
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