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hub / github.com/AQ-MedAI/MedMemoryBench / record_chunk

Method record_chunk

methods/memrl_agent.py:189–228  ·  view source on GitHub ↗

Record a chunk processing result.

(
        self,
        chunk_index: int,
        success: bool,
        memories_created: int,
        chunk_time: float,
        details: Optional[Dict[str, Any]] = None
    )

Source from the content-addressed store, hash-verified

187 self.build_logs = []
188
189 def record_chunk(
190 self,
191 chunk_index: int,
192 success: bool,
193 memories_created: int,
194 chunk_time: float,
195 details: Optional[Dict[str, Any]] = None
196 ) -> None:
197 """Record a chunk processing result."""
198 self.processed_chunks += 1
199 self.chunk_timings.append(chunk_time)
200
201 if success:
202 self.successful_builds += 1
203 self.total_memories_created += memories_created
204 else:
205 self.failed_builds += 1
206
207 log_entry = {
208 "chunk_index": chunk_index,
209 "success": success,
210 "memories_created": memories_created,
211 "chunk_time": round(chunk_time, 3),
212 "timestamp": datetime.now().isoformat(),
213 }
214 if details:
215 log_entry["details"] = details
216 self.build_logs.append(log_entry)
217
218 # Log progress
219 elapsed = time.time() - self.start_time
220 progress_pct = (self.processed_chunks / self.total_chunks) * 100
221 avg_time = sum(self.chunk_timings) / len(self.chunk_timings) if self.chunk_timings else 0
222 eta = avg_time * (self.total_chunks - self.processed_chunks)
223
224 logger.info(
225 f"[MemRL Build] Progress: {self.processed_chunks}/{self.total_chunks} "
226 f"({progress_pct:.1f}%) | Memories: {self.total_memories_created} | "
227 f"Success: {self.successful_builds} | Failed: {self.failed_builds} | ETA: {eta:.1f}s"
228 )
229
230 def get_summary(self) -> Dict[str, Any]:
231 """Get build progress summary."""

Callers 1

memorizeMethod · 0.80

Calls 1

infoMethod · 0.65

Tested by

no test coverage detected