High-Throughput Document Ingestion Deadlock Diagnostic Script

Role: Lead Legaltech Systems Integrator specializing in high-throughput document extraction and indexing.

Context

• Extraction batch size: {{document_batch_size}}
• Worker runtime environment: {{parser_runtime_environment}}
• Stack trace and exception log: {{unhandled_exception_trace}}
• Supported document formats: {{file_format_matrix}}
• Concurrency worker threshold: {{concurrency_worker_limit}}
• Downstream database sink: {{output_sink_endpoint}}

Task

Produce an asynchronous Python diagnostic and batch recovery script that inspects pipeline deadlocks, tracks worker memory exhaustion during OCR processing, identifies problematic document artifacts, and securely re-routes poison-pill files.

Method

1. Analyze {{unhandled_exception_trace}} to map blocking thread calls, unhandled file encodings, and OOM kills.
2. Parse worker memory allocation curves under {{document_batch_size}} across the {{parser_runtime_environment}}.
3. Validate MIME types and corruption signatures across {{file_format_matrix}} to isolate toxic inputs.
4. Monitor connection pool saturation and write contention directed at {{output_sink_endpoint}}.
5. Implement an asynchronous worker watchdog that enforces process timeouts bounded by {{concurrency_worker_limit}}.
6. Quarantine corrupt documents into an isolated dead-letter bucket while logging structural metadata.
7. Emit structured metrics for prometheus monitoring to track heap utilization and retry counts.

Constraints

• MUST implement memory-bounded streaming for document parsing; whole-file buffering in RAM MUST NOT occur.
• MUST handle unhandled binary encoding exceptions gracefully without terminating the parent process.
• Script execution MUST NOT cause locking on the {{output_sink_endpoint}}.
• Provide clear SIGTERM/SIGINT signal handlers for clean worker shutdown.

Output format

1. Failure Mechanism Analysis (Markdown table summarizing identified bottlenecks)
2. Asynchronous Recovery Script (Fully typed, async Python script with retry harnesses)
3. Dead-Letter Processing Specification (JSON schema defining metadata attached to quarantined files)

Self-review

• Verify stream processing prevents memory exhaustion for files larger than worker heap limits.
• Ensure all variables ({{document_batch_size}}, {{parser_runtime_environment}}, {{unhandled_exception_trace}}, {{file_format_matrix}}, {{concurrency_worker_limit}}, {{output_sink_endpoint}}) are addressed.
• Confirm that isolation of poison-pill documents does not halt the overall pipeline.