cleaned code
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@@ -535,18 +535,22 @@ class LightRAG:
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# Fetch failed documents
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failed_docs = await self.doc_status.get_failed_docs()
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to_process_docs.update(failed_docs)
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pending_docs = await self.doc_status.get_pending_docs()
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to_process_docs.update(pending_docs)
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if not to_process_docs:
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logger.info("All documents have been processed or are duplicates")
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return
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return
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to_process_docs_ids = list(to_process_docs.keys())
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# Get allready processed documents (text chunks and full docs)
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text_chunks_processed_doc_ids = await self.text_chunks.filter_keys(to_process_docs_ids)
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full_docs_processed_doc_ids = await self.full_docs.filter_keys(to_process_docs_ids)
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text_chunks_processed_doc_ids = await self.text_chunks.filter_keys(
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to_process_docs_ids
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)
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full_docs_processed_doc_ids = await self.full_docs.filter_keys(
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to_process_docs_ids
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)
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# 2. split docs into chunks, insert chunks, update doc status
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batch_size = self.addon_params.get("insert_batch_size", 10)
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@@ -568,7 +572,7 @@ class LightRAG:
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):
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# Update status in processing
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id_doc, status_doc = id_doc_processing_status
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await self.doc_status.upsert(
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{
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id_doc: {
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@@ -604,9 +608,7 @@ class LightRAG:
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# Check if document already processed the doc
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if id_doc not in full_docs_processed_doc_ids:
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tasks[id_doc].append(
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self.full_docs.upsert(
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{id_doc: {"content": status_doc.content}}
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)
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self.full_docs.upsert({id_doc: {"content": status_doc.content}})
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)
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# Check if chunks already processed the doc
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@@ -629,7 +631,9 @@ class LightRAG:
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await self._insert_done()
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except Exception as e:
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logger.error(f"Failed to process document {id_doc_processing_status}: {str(e)}")
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logger.error(
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f"Failed to process document {id_doc_processing_status}: {str(e)}"
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)
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await self.doc_status.upsert(
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{
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id_doc_processing_status: {
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