Protokoll #19167
| ID | 19167 |
|---|---|
| Zeitstempel | 2025-12-26 23:50:21.422335 |
| Client | root |
| IP | Warning: Undefined array key "request_ip" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13 Deprecated: htmlspecialchars(): Passing null to parameter #1 ($string) of type string is deprecated in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13 |
| Modell | claude-sonnet-4-20250514 |
| Status | completed |
| Tokens | 2,362 (Input: 0, Output: 0) |
| Dauer | 111 ms |
| Request-Zeit | Warning: Undefined array key "request_timestamp" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 18 |
| Response-Zeit | - |
Warning: Undefined array key "error_message" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 22
Request
{
"event": "PreToolUse",
"tool_name": "Edit",
"tool_input": {
"file_path": "\/var\/www\/scripts\/pipeline\/step_load.py",
"old_string": " def create_document(self, file_info):\n \"\"\"\n Create document record in database.\n\n Args:\n file_info: Dict with path, name, type, size, hash\n\n Returns:\n int: Document ID\n \"\"\"\n doc_id = self.db.insert_document(\n file_path=file_info[\"path\"],\n title=file_info[\"name\"],\n file_type=file_info[\"type\"],\n file_size=file_info[\"size\"],\n file_hash=file_info[\"hash\"],\n )\n\n self.db.log(\"INFO\", f\"Created document: {doc_id}\")\n\n return doc_id",
"new_string": " def create_document(self, file_info):\n \"\"\"\n Create document record in database.\n\n Args:\n file_info: Dict with path, name, type, size, hash\n\n Returns:\n int: Document ID\n \"\"\"\n doc_id = self.db.insert_document(\n file_path=file_info[\"path\"],\n title=file_info[\"name\"],\n file_type=file_info[\"type\"],\n file_size=file_info[\"size\"],\n file_hash=file_info[\"hash\"],\n )\n\n self.db.log(\"INFO\", f\"Created document: {doc_id}\")\n\n return doc_id\n\n def store_pages(self, doc_id, extraction):\n \"\"\"\n Store document pages in database.\n\n Args:\n doc_id: Document ID\n extraction: Extraction result with content list (for PDFs)\n\n Returns:\n dict: Mapping of page_number to page_id\n \"\"\"\n page_map = {}\n content = extraction.get(\"content\", [])\n\n if not isinstance(content, list):\n # Not a multi-page document\n return page_map\n\n for i, page_content in enumerate(content):\n page_number = i + 1\n text = page_content.get(\"text\", \"\") if isinstance(page_content, dict) else str(page_content)\n\n page_id = self.db.insert_page(\n doc_id=doc_id,\n page_number=page_number,\n text_content=text,\n )\n page_map[page_number] = page_id\n\n if self.progress and page_map:\n self.progress.add_log(f\"{len(page_map)} Seiten gespeichert\")\n\n self.db.log(\"INFO\", f\"Stored {len(page_map)} pages for document {doc_id}\")\n\n return page_map"
}
}Response
{
"tool_response": {
"filePath": "\/var\/www\/scripts\/pipeline\/step_load.py",
"oldString": " def create_document(self, file_info):\n \"\"\"\n Create document record in database.\n\n Args:\n file_info: Dict with path, name, type, size, hash\n\n Returns:\n int: Document ID\n \"\"\"\n doc_id = self.db.insert_document(\n file_path=file_info[\"path\"],\n title=file_info[\"name\"],\n file_type=file_info[\"type\"],\n file_size=file_info[\"size\"],\n file_hash=file_info[\"hash\"],\n )\n\n self.db.log(\"INFO\", f\"Created document: {doc_id}\")\n\n return doc_id",
"newString": " def create_document(self, file_info):\n \"\"\"\n Create document record in database.\n\n Args:\n file_info: Dict with path, name, type, size, hash\n\n Returns:\n int: Document ID\n \"\"\"\n doc_id = self.db.insert_document(\n file_path=file_info[\"path\"],\n title=file_info[\"name\"],\n file_type=file_info[\"type\"],\n file_size=file_info[\"size\"],\n file_hash=file_info[\"hash\"],\n )\n\n self.db.log(\"INFO\", f\"Created document: {doc_id}\")\n\n return doc_id\n\n def store_pages(self, doc_id, extraction):\n \"\"\"\n Store document pages in database.\n\n Args:\n doc_id: Document ID\n extraction: Extraction result with content list (for PDFs)\n\n Returns:\n dict: Mapping of page_number to page_id\n \"\"\"\n page_map = {}\n content = extraction.get(\"content\", [])\n\n if not isinstance(content, list):\n # Not a multi-page document\n return page_map\n\n for i, page_content in enumerate(content):\n page_number = i + 1\n text = page_content.get(\"text\", \"\") if isinstance(page_content, dict) else str(page_content)\n\n page_id = self.db.insert_page(\n doc_id=doc_id,\n page_number=page_number,\n text_content=text,\n )\n page_map[page_number] = page_id\n\n if self.progress and page_map:\n self.progress.add_log(f\"{len(page_map)} Seiten gespeichert\")\n\n self.db.log(\"INFO\", f\"Stored {len(page_map)} pages for document {doc_id}\")\n\n return page_map",
"originalFile": "\"\"\"\nLoad Step Module\nHandles database persistence operations for documents and chunks.\n\nPart of modularized pipeline architecture.\n\"\"\"\n\nimport json\n\n\nclass LoadStep:\n \"\"\"Step: Load documents and chunks into database.\"\"\"\n\n def __init__(self, db, progress=None):\n \"\"\"\n Initialize load step.\n\n Args:\n db: Database instance\n progress: Optional PipelineProgress instance\n \"\"\"\n self.db = db\n self.progress = progress\n\n def create_document(self, file_info):\n \"\"\"\n Create document record in database.\n\n Args:\n file_info: Dict with path, name, type, size, hash\n\n Returns:\n int: Document ID\n \"\"\"\n doc_id = self.db.insert_document(\n file_path=file_info[\"path\"],\n title=file_info[\"name\"],\n file_type=file_info[\"type\"],\n file_size=file_info[\"size\"],\n file_hash=file_info[\"hash\"],\n )\n\n self.db.log(\"INFO\", f\"Created document: {doc_id}\")\n\n return doc_id\n\n def store_chunks(self, doc_id, chunks):\n \"\"\"\n Store chunks in database.\n\n Args:\n doc_id: Document ID\n chunks: List of chunk dictionaries\n\n Returns:\n list: Chunks with db_id added\n \"\"\"\n for i, chunk in enumerate(chunks):\n chunk_id = self.db.insert_chunk(\n doc_id=doc_id,\n chunk_index=i,\n content=chunk[\"content\"],\n heading_path=json.dumps(chunk.get(\"heading_path\", [])),\n position_start=chunk.get(\"position_start\", 0),\n position_end=chunk.get(\"position_end\", 0),\n metadata=json.dumps(chunk.get(\"metadata\", {})),\n )\n chunk[\"db_id\"] = chunk_id\n\n return chunks\n\n def update_document_status(self, doc_id, status):\n \"\"\"\n Update document processing status.\n\n Args:\n doc_id: Document ID\n status: New status (processing, done, failed)\n \"\"\"\n self.db.update_document_status(doc_id, status)\n\n def check_document_exists(self, file_path):\n \"\"\"\n Check if document already exists.\n\n Args:\n file_path: Path to file\n\n Returns:\n int|None: Document ID if exists, None otherwise\n \"\"\"\n return self.db.document_exists(file_path)\n\n def check_document_done(self, file_path):\n \"\"\"\n Check if document is already fully processed.\n\n Args:\n file_path: Path to file\n\n Returns:\n bool: True if document is done\n \"\"\"\n return self.db.document_is_done(file_path)\n",
"structuredPatch": [
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"lines": [
" ",
" return doc_id",
" ",
"+ def store_pages(self, doc_id, extraction):",
"+ \"\"\"",
"+ Store document pages in database.",
"+",
"+ Args:",
"+ doc_id: Document ID",
"+ extraction: Extraction result with content list (for PDFs)",
"+",
"+ Returns:",
"+ dict: Mapping of page_number to page_id",
"+ \"\"\"",
"+ page_map = {}",
"+ content = extraction.get(\"content\", [])",
"+",
"+ if not isinstance(content, list):",
"+ # Not a multi-page document",
"+ return page_map",
"+",
"+ for i, page_content in enumerate(content):",
"+ page_number = i + 1",
"+ text = page_content.get(\"text\", \"\") if isinstance(page_content, dict) else str(page_content)",
"+",
"+ page_id = self.db.insert_page(",
"+ doc_id=doc_id,",
"+ page_number=page_number,",
"+ text_content=text,",
"+ )",
"+ page_map[page_number] = page_id",
"+",
"+ if self.progress and page_map:",
"+ self.progress.add_log(f\"{len(page_map)} Seiten gespeichert\")",
"+",
"+ self.db.log(\"INFO\", f\"Stored {len(page_map)} pages for document {doc_id}\")",
"+",
"+ return page_map",
"+",
" def store_chunks(self, doc_id, chunks):",
" \"\"\"",
" Store chunks in database."
]
}
],
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"replaceAll": false
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}