상태 JSON 파일의 API 요청 통계를 업데이트하고, 최근 요청 수 및 성공률을 반영하였습니다. 일일 통계에서 처리된 이미지 수와 네트워크 트래픽 정보를 개선하였으며, 서버 로그에 새로운 배치 처리 정보를 추가하였습니다. 또한, 평균 응답 시간 및 동시 요청 수를 업데이트하였습니다.

This commit is contained in:
vast 2025-10-03 04:39:25 +00:00
parent d560d61e5e
commit aede815318
4 changed files with 279 additions and 28 deletions

View File

@ -428764,3 +428764,69 @@ RuntimeError: Expected tensor for argument #1 'input' to have the same type as t
2025-10-03 04:38:53,250 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.122s 2025-10-03 04:38:53,250 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.122s
2025-10-03 04:38:53,250 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.122s (avg: 0.122s/image) 2025-10-03 04:38:53,250 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.122s (avg: 0.122s/image)
2025-10-03 04:38:53,250 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs. 2025-10-03 04:38:53,250 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:38:56,972 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:38:56,973 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:38:56,998 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:38:57,097 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.124s
2025-10-03 04:38:57,097 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.124s (avg: 0.124s/image)
2025-10-03 04:38:57,097 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:38:57,334 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:38:57,335 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:38:57,366 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:38:57,469 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.134s
2025-10-03 04:38:57,469 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.134s (avg: 0.134s/image)
2025-10-03 04:38:57,469 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:38:59,112 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:38:59,113 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:38:59,135 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:38:59,233 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.120s
2025-10-03 04:38:59,233 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.120s (avg: 0.120s/image)
2025-10-03 04:38:59,234 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:39:02,704 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:39:02,704 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:02,726 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:02,824 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.120s
2025-10-03 04:39:02,825 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.120s (avg: 0.120s/image)
2025-10-03 04:39:02,825 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:39:05,174 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:39:05,175 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:05,198 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:05,297 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.122s
2025-10-03 04:39:05,298 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.122s (avg: 0.122s/image)
2025-10-03 04:39:05,298 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:39:08,670 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:39:08,671 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:08,701 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:08,807 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.136s
2025-10-03 04:39:08,808 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.136s (avg: 0.136s/image)
2025-10-03 04:39:08,808 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:39:09,382 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:39:09,382 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:09,404 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:09,501 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.119s
2025-10-03 04:39:09,502 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.119s (avg: 0.119s/image)
2025-10-03 04:39:09,502 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:39:10,307 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:39:10,308 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:10,330 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:10,426 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.118s
2025-10-03 04:39:10,427 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.118s (avg: 0.118s/image)
2025-10-03 04:39:10,427 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:39:12,548 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:39:12,548 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:12,573 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:12,673 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.124s
2025-10-03 04:39:12,674 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.124s (avg: 0.124s/image)
2025-10-03 04:39:12,674 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
2025-10-03 04:39:17,975 - app.core.batch_manager - INFO - Creating a new batch with 2 jobs.
2025-10-03 04:39:17,975 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 2). VRAM: 0.0 GB
2025-10-03 04:39:18,024 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 2개 이미지 인페인팅 수행
2025-10-03 04:39:18,262 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 2). VRAM: 0.0 GB | Duration: 0.286s
2025-10-03 04:39:18,262 - app.core.worker_manager - INFO - 'simple-lama' batch of 2 processed in 0.286s (avg: 0.143s/image)
2025-10-03 04:39:18,262 - app.core.batch_manager - INFO - Successfully processed batch of 2 jobs.
2025-10-03 04:39:23,685 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
2025-10-03 04:39:23,686 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:23,711 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:23,815 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.128s
2025-10-03 04:39:23,815 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.128s (avg: 0.128s/image)
2025-10-03 04:39:23,815 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.

View File

@ -898,3 +898,182 @@ INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1).
2025-10-03 04:38:57,335 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB 2025-10-03 04:38:57,335 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행 INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:38:57,366 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행 2025-10-03 04:38:57,366 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.134s
2025-10-03 04:38:57,469 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.134s
INFO:app.core.worker_manager:'simple-lama' batch of 1 processed in 0.134s (avg: 0.134s/image)
2025-10-03 04:38:57,469 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.134s (avg: 0.134s/image)
INFO:app.core.batch_manager:Successfully processed batch of 1 jobs.
2025-10-03 04:38:57,469 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
INFO: 112.165.125.222:8137 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 127.0.0.1:43156 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:43158 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 115.138.85.166:59797 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO: 127.0.0.1:43170 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 1 jobs.
2025-10-03 04:38:59,112 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:38:59,113 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:38:59,135 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.120s
2025-10-03 04:38:59,233 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.120s
INFO:app.core.worker_manager:'simple-lama' batch of 1 processed in 0.120s (avg: 0.120s/image)
2025-10-03 04:38:59,233 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.120s (avg: 0.120s/image)
INFO:app.core.batch_manager:Successfully processed batch of 1 jobs.
2025-10-03 04:38:59,234 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
INFO: 115.138.85.166:28694 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 127.0.0.1:43174 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:43180 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:43184 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:43188 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 112.165.125.222:8142 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 1 jobs.
2025-10-03 04:39:02,704 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:02,704 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:02,726 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.120s
2025-10-03 04:39:02,824 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.120s
INFO:app.core.worker_manager:'simple-lama' batch of 1 processed in 0.120s (avg: 0.120s/image)
2025-10-03 04:39:02,825 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.120s (avg: 0.120s/image)
INFO:app.core.batch_manager:Successfully processed batch of 1 jobs.
2025-10-03 04:39:02,825 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
INFO: 112.165.125.222:8143 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 127.0.0.1:43202 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:40948 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:40952 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 115.138.85.166:63642 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO: 127.0.0.1:40962 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 1 jobs.
2025-10-03 04:39:05,174 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:05,175 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:05,198 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.122s
2025-10-03 04:39:05,297 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.122s
INFO:app.core.worker_manager:'simple-lama' batch of 1 processed in 0.122s (avg: 0.122s/image)
2025-10-03 04:39:05,298 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.122s (avg: 0.122s/image)
INFO:app.core.batch_manager:Successfully processed batch of 1 jobs.
2025-10-03 04:39:05,298 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
INFO: 115.138.85.166:63643 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 127.0.0.1:40968 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:40978 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:40988 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:41004 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 220.77.167.192:54136 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 1 jobs.
2025-10-03 04:39:08,670 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:08,671 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:08,701 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.136s
2025-10-03 04:39:08,807 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.136s
INFO:app.core.worker_manager:'simple-lama' batch of 1 processed in 0.136s (avg: 0.136s/image)
2025-10-03 04:39:08,808 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.136s (avg: 0.136s/image)
INFO:app.core.batch_manager:Successfully processed batch of 1 jobs.
2025-10-03 04:39:08,808 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
INFO: 220.77.167.192:54137 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 127.0.0.1:41018 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 115.138.36.50:10913 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 1 jobs.
2025-10-03 04:39:09,382 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:09,382 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:09,404 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.119s
2025-10-03 04:39:09,501 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.119s
INFO:app.core.worker_manager:'simple-lama' batch of 1 processed in 0.119s (avg: 0.119s/image)
2025-10-03 04:39:09,502 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.119s (avg: 0.119s/image)
INFO:app.core.batch_manager:Successfully processed batch of 1 jobs.
2025-10-03 04:39:09,502 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
INFO: 115.138.36.50:10914 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 115.138.85.166:63653 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO: 127.0.0.1:41024 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:41036 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 1 jobs.
2025-10-03 04:39:10,307 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:10,308 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:10,330 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.118s
2025-10-03 04:39:10,426 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.118s
INFO:app.core.worker_manager:'simple-lama' batch of 1 processed in 0.118s (avg: 0.118s/image)
2025-10-03 04:39:10,427 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.118s (avg: 0.118s/image)
INFO:app.core.batch_manager:Successfully processed batch of 1 jobs.
2025-10-03 04:39:10,427 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
INFO: 115.138.85.166:63654 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 127.0.0.1:41038 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:41040 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 115.138.36.50:10918 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 1 jobs.
2025-10-03 04:39:12,548 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:12,548 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:12,573 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.124s
2025-10-03 04:39:12,673 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.124s
INFO:app.core.worker_manager:'simple-lama' batch of 1 processed in 0.124s (avg: 0.124s/image)
2025-10-03 04:39:12,674 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.124s (avg: 0.124s/image)
INFO:app.core.batch_manager:Successfully processed batch of 1 jobs.
2025-10-03 04:39:12,674 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
INFO: 115.138.36.50:10919 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 127.0.0.1:41050 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:41064 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:60922 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:60936 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:60952 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:60956 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:60970 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:60980 - "GET /api/v1/health HTTP/1.1" 200 OK
INFO: 115.138.85.166:63666 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO: 220.77.167.192:54145 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 2 jobs.
2025-10-03 04:39:17,975 - app.core.batch_manager - INFO - Creating a new batch with 2 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 2). VRAM: 0.0 GB
2025-10-03 04:39:17,975 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 2). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 2개 이미지 인페인팅 수행
2025-10-03 04:39:18,024 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 2개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 2). VRAM: 0.0 GB | Duration: 0.286s
2025-10-03 04:39:18,262 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 2). VRAM: 0.0 GB | Duration: 0.286s
INFO:app.core.worker_manager:'simple-lama' batch of 2 processed in 0.286s (avg: 0.143s/image)
2025-10-03 04:39:18,262 - app.core.worker_manager - INFO - 'simple-lama' batch of 2 processed in 0.286s (avg: 0.143s/image)
INFO:app.core.batch_manager:Successfully processed batch of 2 jobs.
2025-10-03 04:39:18,262 - app.core.batch_manager - INFO - Successfully processed batch of 2 jobs.
INFO: 220.77.167.192:54146 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 115.138.85.166:63668 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 127.0.0.1:60988 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:32770 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:32786 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:32798 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:32808 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 127.0.0.1:32820 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:32826 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 220.77.167.192:54150 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 1 jobs.
2025-10-03 04:39:23,685 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:23,686 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:23,711 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
INFO:app.core.worker_manager:✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.128s
2025-10-03 04:39:23,815 - app.core.worker_manager - INFO - ✅[simple_lama] Batch Inference End (Size: 1). VRAM: 0.0 GB | Duration: 0.128s
INFO:app.core.worker_manager:'simple-lama' batch of 1 processed in 0.128s (avg: 0.128s/image)
2025-10-03 04:39:23,815 - app.core.worker_manager - INFO - 'simple-lama' batch of 1 processed in 0.128s (avg: 0.128s/image)
INFO:app.core.batch_manager:Successfully processed batch of 1 jobs.
2025-10-03 04:39:23,815 - app.core.batch_manager - INFO - Successfully processed batch of 1 jobs.
INFO: 220.77.167.192:54151 - "POST /api/v1/inpaint HTTP/1.1" 200 OK
INFO: 127.0.0.1:43034 - "GET /api/v1/stats HTTP/1.1" 200 OK
INFO: 127.0.0.1:43042 - "GET /api/v1/realtime_status HTTP/1.1" 200 OK
INFO: 115.138.85.166:63680 - "GET /api/v1/model HTTP/1.1" 200 OK
INFO:app.core.batch_manager:Creating a new batch with 1 jobs.
2025-10-03 04:39:25,525 - app.core.batch_manager - INFO - Creating a new batch with 1 jobs.
INFO:app.core.worker_manager:🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
2025-10-03 04:39:25,526 - app.core.worker_manager - INFO - 🧠[simple_lama] Batch Inference Start (Size: 1). VRAM: 0.0 GB
INFO:app.models.simple_lama:실제 SimpleLama 모델로 1개 이미지 인페인팅 수행
2025-10-03 04:39:25,547 - app.models.simple_lama - INFO - 실제 SimpleLama 모델로 1개 이미지 인페인팅 수행

View File

@ -60,3 +60,9 @@ INFO: 122.35.47.45:57282 - "GET /api/system-alerts HTTP/1.1" 200 OK
INFO: 122.35.47.45:57281 - "GET /api/errors HTTP/1.1" 200 OK INFO: 122.35.47.45:57281 - "GET /api/errors HTTP/1.1" 200 OK
INFO: 122.35.47.45:57295 - "GET /api/logs?lines=50 HTTP/1.1" 200 OK INFO: 122.35.47.45:57295 - "GET /api/logs?lines=50 HTTP/1.1" 200 OK
INFO: 122.35.47.45:57296 - "GET /api/performance-stats HTTP/1.1" 200 OK INFO: 122.35.47.45:57296 - "GET /api/performance-stats HTTP/1.1" 200 OK
INFO: 122.35.47.45:57315 - "GET /api/logs?lines=50 HTTP/1.1" 200 OK
INFO: 122.35.47.45:57314 - "GET /api/performance-stats HTTP/1.1" 200 OK
INFO: 122.35.47.45:57314 - "GET /api/model-usage-stats HTTP/1.1" 200 OK
INFO: 122.35.47.45:57315 - "GET /api/system-alerts HTTP/1.1" 200 OK
INFO: 122.35.47.45:57318 - "GET /api/session_events?limit=100 HTTP/1.1" 200 OK
INFO: 122.35.47.45:57319 - "GET /api/errors HTTP/1.1" 200 OK

View File

@ -78,34 +78,34 @@
} }
}, },
"api_stats": { "api_stats": {
"total_requests": 164, "total_requests": 207,
"successful_requests": 164, "successful_requests": 207,
"failed_requests": 0, "failed_requests": 0,
"success_rate": 100.0, "success_rate": 100.0,
"endpoint_usage": { "endpoint_usage": {
"GET /api/v1/model": 46, "GET /api/v1/model": 58,
"POST /api/v1/inpaint": 35, "POST /api/v1/inpaint": 47,
"GET /api/v1/realtime_status": 77, "GET /api/v1/realtime_status": 96,
"POST /api/v1/run_plugin_gen_image": 6 "POST /api/v1/run_plugin_gen_image": 6
}, },
"endpoint_stats": { "endpoint_stats": {
"GET /api/v1/model": { "GET /api/v1/model": {
"count": 46, "count": 58,
"avg_time": 0.001882978107618249, "avg_time": 0.0017750016574201912,
"min_time": 0.0007641315460205078, "min_time": 0.0007641315460205078,
"max_time": 0.005892276763916016, "max_time": 0.005892276763916016,
"current_concurrent": 0 "current_concurrent": 0
}, },
"POST /api/v1/inpaint": { "POST /api/v1/inpaint": {
"count": 35, "count": 47,
"avg_time": 1.0241468020847866, "avg_time": 0.8887533989358456,
"min_time": 0.36550426483154297, "min_time": 0.3177158832550049,
"max_time": 17.846105098724365, "max_time": 17.846105098724365,
"current_concurrent": 0 "current_concurrent": 0
}, },
"GET /api/v1/realtime_status": { "GET /api/v1/realtime_status": {
"count": 77, "count": 96,
"avg_time": 0.0017850368053882154, "avg_time": 0.0017779047290484111,
"min_time": 0.0008914470672607422, "min_time": 0.0008914470672607422,
"max_time": 0.004540681838989258, "max_time": 0.004540681838989258,
"current_concurrent": 0 "current_concurrent": 0
@ -125,41 +125,41 @@
"current_concurrent": 0 "current_concurrent": 0
} }
}, },
"average_response_time": 0.27696772755646126, "average_response_time": 0.2483021406735775,
"min_response_time": 0.0007641315460205078, "min_response_time": 0.0007641315460205078,
"max_response_time": 17.846105098724365, "max_response_time": 17.846105098724365,
"current_concurrent": 0, "current_concurrent": 0,
"max_concurrent": 4, "max_concurrent": 4,
"requests_per_second": 1.0479318238477158, "requests_per_second": 1.1098522581035506,
"uptime": 156.49873042106628, "uptime": 186.51131129264832,
"recent_errors": [] "recent_errors": []
}, },
"daily_stats": { "daily_stats": {
"date": "2025-10-03", "date": "2025-10-03",
"images_processed": { "images_processed": {
"inpaint": 35, "inpaint": 47,
"remove_bg": 0, "remove_bg": 0,
"gen_image": 6, "gen_image": 6,
"total": 41 "total": 53
}, },
"network": { "network": {
"bytes_uploaded": 43833737, "bytes_uploaded": 56924653,
"bytes_downloaded": 26184016, "bytes_downloaded": 34306872,
"requests_count": 164, "requests_count": 207,
"mb_uploaded": 41.80310916900635, "mb_uploaded": 54.28757953643799,
"mb_downloaded": 24.971023559570312, "mb_downloaded": 32.71758270263672,
"gb_uploaded": 0.04082334879785776, "gb_uploaded": 0.05301521439105272,
"gb_downloaded": 0.024385765194892883 "gb_downloaded": 0.03195076435804367
}, },
"api_calls": { "api_calls": {
"total": 164, "total": 207,
"success": 164, "success": 207,
"failed": 0 "failed": 0
}, },
"models_used": {}, "models_used": {},
"peak_concurrent": 3, "peak_concurrent": 3,
"start_time": 1759466176.0225163, "start_time": 1759466176.0225163,
"last_update": 1759466331.8642712 "last_update": 1759466361.7559974
}, },
"timestamp": 1759466332.5366766 "timestamp": 1759466362.5493164
} }