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"prompt": "Design a live Pipeline Status Page implementation based on these findings:\n\n**Current State:**\n- Python pipeline.py ignores --run-id and --pipeline-id args (passed but unused)\n- pipeline_runs table has: status, documents_processed\/total, chunks_created, error_log\n- Status endpoint exists: GET \/content-pipeline\/{id}\/status returns JSON\n- Frontend uses HTMX + fetch() patterns\n\n**Requirements:**\n1. After clicking \"Pipeline starten\", redirect to a dedicated status page showing:\n - Current pipeline step (detect, extract, chunk, embed, analyze, etc.)\n - Current document being processed (filename)\n - Overall progress (X\/Y documents, Z chunks created)\n - Time elapsed and estimated remaining\n - Live log tail\n\n2. Handle timeouts gracefully:\n - Detect stalled runs (no update for >60s)\n - Allow manual cancel\n - Show appropriate error states\n\n3. Python pipeline must update the database during execution\n\n**Design Considerations:**\n- Add columns to pipeline_runs: current_step, current_document, last_update_at\n- Modify pipeline.py to parse args and update progress\n- Create new View: content-pipeline\/status.php\n- Use HTMX polling (hx-trigger=\"every 2s\") for live updates\n- Follow existing adapter patterns\n\nPlease provide a detailed implementation plan with:\n1. Database schema changes\n2. Python pipeline.py modifications\n3. PHP Controller changes\n4. New View template design\n5. JavaScript\/HTMX polling logic",
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"prompt": "Design a live Pipeline Status Page implementation based on these findings:\n\n**Current State:**\n- Python pipeline.py ignores --run-id and --pipeline-id args (passed but unused)\n- pipeline_runs table has: status, documents_processed\/total, chunks_created, error_log\n- Status endpoint exists: GET \/content-pipeline\/{id}\/status returns JSON\n- Frontend uses HTMX + fetch() patterns\n\n**Requirements:**\n1. After clicking \"Pipeline starten\", redirect to a dedicated status page showing:\n - Current pipeline step (detect, extract, chunk, embed, analyze, etc.)\n - Current document being processed (filename)\n - Overall progress (X\/Y documents, Z chunks created)\n - Time elapsed and estimated remaining\n - Live log tail\n\n2. Handle timeouts gracefully:\n - Detect stalled runs (no update for >60s)\n - Allow manual cancel\n - Show appropriate error states\n\n3. Python pipeline must update the database during execution\n\n**Design Considerations:**\n- Add columns to pipeline_runs: current_step, current_document, last_update_at\n- Modify pipeline.py to parse args and update progress\n- Create new View: content-pipeline\/status.php\n- Use HTMX polling (hx-trigger=\"every 2s\") for live updates\n- Follow existing adapter patterns\n\nPlease provide a detailed implementation plan with:\n1. Database schema changes\n2. Python pipeline.py modifications\n3. PHP Controller changes\n4. New View template design\n5. JavaScript\/HTMX polling logic",
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"text": "Now I have gathered enough information to provide a comprehensive implementation plan. Let me summarize my findings and create the design.\n\n---\n\n# Live Pipeline Status Page - Implementation Plan\n\n## Executive Summary\n\nThis plan describes the implementation of a live status page for the Content Pipeline that shows real-time progress during document processing. The solution requires changes across four layers: database schema, Python pipeline, PHP backend, and frontend view.\n\n---\n\n## 1. Database Schema Changes\n\n### Current Schema (pipeline_runs in ki_content)\n```sql\nid, pipeline_id, status, started_at, completed_at, documents_total, \ndocuments_processed, documents_failed, chunks_created, error_log, created_at\n```\n\n### Required Additions\nAdd the following columns to `ki_content.pipeline_runs`:\n\n```sql\nALTER TABLE pipeline_runs \nADD COLUMN current_step VARCHAR(50) NULL AFTER error_log,\nADD COLUMN current_document VARCHAR(500) NULL AFTER current_step,\nADD COLUMN last_update_at DATETIME NULL AFTER current_document,\nADD COLUMN embeddings_created INT DEFAULT 0 AFTER chunks_created,\nADD COLUMN log_tail TEXT NULL AFTER last_update_at,\nADD INDEX idx_status_last_update (status, last_update_at);\n```\n\n| Column | Purpose |\n|--------|---------|\n| `current_step` | Active step name (detect, extract, chunk, embed, analyze) |\n| `current_document` | Filename of document currently being processed |\n| `last_update_at` | Timestamp of last progress update (for stall detection) |\n| `embeddings_created` | Number of embeddings created (separate from chunks) |\n| `log_tail` | Last 20 lines of log for live display |\n\n---\n\n## 2. Python Pipeline Modifications\n\n### 2.1 Argument Parsing in pipeline.py\n\nThe current `main()` function ignores `--pipeline-id` and `--run-id`. Modify to parse and use these:\n\n**Location:** `\/opt\/scripts\/pipeline\/pipeline.py`\n\n```python\nimport argparse\n\ndef parse_args():\n \"\"\"Parse command line arguments.\"\"\"\n parser = argparse.ArgumentParser(description='KI-System Document Pipeline')\n parser.add_argument('command', choices=['scan', 'process', 'embed', 'all', 'file', 'status'])\n parser.add_argument('--pipeline-id', type=int, help='Pipeline configuration ID')\n parser.add_argument('--run-id', type=int, help='Pipeline run ID for progress tracking')\n parser.add_argument('file_path', nargs='?', help='File path for single file processing')\n return parser.parse_args()\n```\n\n### 2.2 New Progress Tracker Class in db.py\n\nAdd a `PipelineProgress` class to `\/opt\/scripts\/pipeline\/db.py`:\n\n```python\nclass PipelineProgress:\n \"\"\"Tracks and updates pipeline run progress in database.\"\"\"\n \n def __init__(self, run_id: int):\n self.run_id = run_id\n self.log_lines = []\n self.max_log_lines = 20\n \n def update_step(self, step_name: str):\n \"\"\"Update current pipeline step.\"\"\"\n self._update(current_step=step_name)\n \n def update_document(self, filename: str):\n \"\"\"Update current document being processed.\"\"\"\n self._update(current_document=filename)\n \n def update_progress(self, processed: int = None, total: int = None, \n chunks: int = None, embeddings: int = None):\n \"\"\"Update numeric progress fields.\"\"\"\n data = {}\n if processed is not None:\n data['documents_processed'] = processed\n if total is not None:\n data['documents_total'] = total\n if chunks is not None:\n data['chunks_created'] = chunks\n if embeddings is not None:\n data['embeddings_created'] = embeddings\n if data:\n self._update(**data)\n \n def add_log(self, message: str):\n \"\"\"Add log line and update log_tail.\"\"\"\n self.log_lines.append(f\"[{datetime.now().strftime('%H:%M:%S')}] {message}\")\n if len(self.log_lines) > self.max_log_lines:\n self.log_lines = self.log_lines[-self.max_log_lines:]\n self._update(log_tail='\\n'.join(self.log_lines))\n \n def complete(self, status: str = 'completed', error: str = None):\n \"\"\"Mark run as complete or failed.\"\"\"\n data = {\n 'status': status,\n 'completed_at': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),\n 'current_step': None,\n 'current_document': None\n }\n if error:\n data['error_log'] = error\n self._update(**data)\n \n def _update(self, **kwargs):\n \"\"\"Internal: Update database with progress.\"\"\"\n kwargs['last_update_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')\n # Build SET clause\n sets = ', '.join(f\"{k} = %s\" for k in kwargs.keys())\n query = f\"UPDATE pipeline_runs SET {sets} WHERE id = %s\"\n # Execute with ki_content connection\n ...\n```\n\n### 2.3 Modify run_full_pipeline() in pipeline.py\n\nUpdate the main pipeline function to use progress tracking:\n\n```python\ndef run_full_pipeline(run_id: int = None, pipeline_id: int = None):\n \"\"\"Run complete pipeline with progress tracking.\"\"\"\n progress = PipelineProgress(run_id) if run_id else None\n \n try:\n # Step 1: Scan\n if progress:\n progress.update_step('detect')\n progress.add_log('Scanning for documents...')\n \n files = run_scan()\n \n if progress:\n progress.update_progress(total=len(files))\n progress.add_log(f'Found {len(files)} files')\n \n # Step 2: Process each file\n for i, file_path in enumerate(files):\n filename = Path(file_path).name\n if progress:\n progress.update_document(filename)\n progress.add_log(f'Processing: {filename}')\n \n # Extract\n if progress:\n progress.update_step('extract')\n extraction = extract(file_path)\n \n # Chunk\n if progress:\n progress.update_step('chunk')\n chunks = chunk_by_structure(extraction)\n \n # Store chunks\n for chunk in chunks:\n chunk_id = db.insert_chunk(...)\n \n if progress:\n progress.update_progress(\n processed=i+1, \n chunks=db.get_total_chunks(run_id)\n )\n \n # Embed\n if progress:\n progress.update_step('embed')\n embedded = embed_chunks(chunks, ...)\n \n if progress:\n progress.update_progress(embeddings=embedded)\n \n # Analyze\n if progress:\n progress.update_step('analyze')\n analyze_document(doc_id, full_text)\n \n if progress:\n progress.add_log(f'Completed: {filename}')\n \n # Complete\n if progress:\n progress.complete('completed')\n progress.add_log('Pipeline completed successfully')\n \n except Exception as e:\n if progress:\n progress.complete('failed', str(e))\n progress.add_log(f'ERROR: {str(e)}')\n raise\n```\n\n---\n\n## 3. PHP Controller Changes\n\n### 3.1 Modify ContentPipelineController::run()\n\nUpdate the `run()` method to redirect to status page after starting:\n\n**Location:** `\/var\/www\/dev.campus.systemische-tools.de\/src\/Controller\/ContentPipelineController.php`\n\n```php\npublic function run(string $id): void\n{\n $this->requireCsrf();\n \n $pipeline = $this->repository->findById((int) $id);\n if ($pipeline === null) {\n $this->notFound('Pipeline nicht gefunden');\n }\n \n $runId = $this->repository->createRun((int) $id);\n \n \/\/ Pipeline im Hintergrund starten\n $cmd = sprintf(\n 'nohup %s %s all --pipeline-id=%d --run-id=%d > %s 2>&1 &',\n escapeshellarg('\/opt\/scripts\/pipeline\/venv\/bin\/python'),\n escapeshellarg('\/opt\/scripts\/pipeline\/pipeline.py'),\n (int) $id,\n $runId,\n escapeshellarg('\/tmp\/pipeline_run_' . $runId . '.log')\n );\n exec($cmd);\n \n \/\/ Redirect to status page instead of back to show\n $this->redirect('\/content-pipeline\/' . $id . '\/run\/' . $runId . '\/status');\n}\n```\n\n### 3.2 Add New Controller Methods\n\nAdd these new methods to `ContentPipelineController`:\n\n```php\n\/**\n * GET \/content-pipeline\/{id}\/run\/{runId}\/status\n * Live status page for a specific run\n *\/\npublic function runStatus(string $id, string $runId): void\n{\n $pipeline = $this->repository->findById((int) $id);\n if ($pipeline === null) {\n $this->notFound('Pipeline nicht gefunden');\n }\n \n $run = $this->repository->findRunById((int) $runId);\n if ($run === null || $run['pipeline_id'] !== (int) $id) {\n $this->notFound('Run nicht gefunden');\n }\n \n $this->view('content-pipeline.run-status', [\n 'title' => 'Pipeline Status - Run #' . $runId,\n 'pipeline' => $pipeline,\n 'run' => $run,\n 'stepTypes' => PipelineStepConfig::getStepTypes(),\n ]);\n}\n\n\/**\n * GET \/content-pipeline\/{id}\/run\/{runId}\/status\/poll (AJAX\/HTMX)\n * Returns HTML partial for status polling\n *\/\npublic function runStatusPoll(string $id, string $runId): void\n{\n $run = $this->repository->findRunById((int) $runId);\n \n if ($run === null) {\n $this->json(['error' => 'Run nicht gefunden'], 404);\n return;\n }\n \n \/\/ Detect stalled runs (no update for 60+ seconds)\n $isStalled = false;\n if ($run['status'] === 'running' && $run['last_update_at']) {\n $lastUpdate = new \\DateTime($run['last_update_at']);\n $now = new \\DateTime();\n $diff = $now->getTimestamp() - $lastUpdate->getTimestamp();\n $isStalled = $diff > 60;\n }\n \n \/\/ Calculate time elapsed\n $elapsed = null;\n $estimatedRemaining = null;\n if ($run['started_at']) {\n $start = new \\DateTime($run['started_at']);\n $now = new \\DateTime();\n $elapsed = $now->getTimestamp() - $start->getTimestamp();\n \n ... 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