{
  "tool": "code2logic",
  "target_project": "/project",
  "problem": "Brak parsera logów do data flow - LogFlowParser nie istnieje, brak grupowania po trace_id, brak kompresji logów do grafu dla LLM",
  "diagnosis": " ```json\n{\n  \"diagnosis\": \"The LogFlowParser class is missing from the codebase. This parser is needed to process log entries, group them by trace_id for distributed tracing analysis, and compress the log sequences into a graph representation (nodes=services, edges=calls) optimized for LLM consumption. The implementation requires: 1) A parser class to ingest logs, 2) Grouping logic by trace_id, 3) Graph construction from log flow, 4) Compression algorithm to create compact LLM-friendly output.\",\n  \"fixed_files\": {\n    \"app/logging_pipeline.py\": \"import json\\nfrom typing import List, Dict, Any, Optional\\nfrom collections import defaultdict\\nimport re\\nfrom datetime import datetime\\n\\n\\nclass LogFlowParser:\\n    \\\"\\\"\\\"\\n    Parser for log data flow analysis.\\n    Groups logs by trace_id and compresses them into graph format for LLM consumption.\\n    \\\"\\\"\\\"\\n    \\n    def __init__(self):\\n        self.logs: List[Dict[str, Any]] = []\\n        self.trace_groups: Dict[str, List[Dict[str, Any]]] = defaultdict(list)\\n        \\n    def add_log(self, log_entry: Dict[str, Any]) -> None:\\n        \\\"\\\"\\\"Add a single log entry.\\\"\\\"\\\"\\n        self.logs.append(log_entry)\\n        trace_id = log_entry.get('trace_id') or log_entry.get('traceId') or 'unknown'\\n        self.trace_groups[trace_id].append(log_entry)\\n        \\n    def add_logs(self, log_entries: List[Dict[str, Any]]) -> None:\\n        \\\"\\\"\\\"Add multiple log entries.\\\"\\\"\\\"\\n        for entry in log_entries:\\n            self.add_log(entry)\\n            \\n    def group_by_trace_id(self) -> Dict[str, List[Dict[str, Any]]]:\\n        \\\"\\\"\\\"Return logs grouped by trace_id.\\\"\\\"\\\"\\n        return dict(self.trace_groups)\\n    \\n    def _extract_service_name(self, log: Dict[str, Any]) -> str:\\n        \\\"\\\"\\\"Extract service name from log entry.\\\"\\\"\\\"\\n        return log.get('service') or log.get('service_name') or log.get('source') or 'unknown'\\n    \\n    def _extract_timestamp(self, log: Dict[str, Any]) -> Optional[datetime]:\\n  ",
  "fixed_files": {},
  "test_code": "",
  "tokens_in": 223400,
  "tokens_out": 4096,
  "duration_sec": 329.916029214859,
  "error": null
}