您好~ 想請教前後端串接問題
目前已架設前後端 api (同電腦)，但將音檔(wav) 上傳前端時，資料庫 TASK 資料表有紀錄到該筆資料，觀察到後端 whisperx 執行時會有 Worker process died 的情形
想請教一下是否有遇到過這個問題及建議呢? 如有需要補充說明再請告知，謝謝!
log:
2025-08-26 08:58:52 - INFO - [7512] Task 278435482 selected for execution
2025-08-26 08:58:52 - INFO - [7512] Execution of the task 278435482 has begun.
2025-08-26 08:58:52 - INFO_TABLE - [7512] {
"OBJID": "278435482",
"CREATE_AT": "2025-08-26T08:16:36.793Z",
"ORIGINAL_FILENAME": "我的錄音 7.wav",
"FILENAME": "audiofile-1756167396429.wav",
"STATUS": -2,
"ROUTE": "/api/v1/rest/CreateTranscribeTask",
"REF": null,
"FINISH_AT": null,
"EXEC_AT": "2025-08-26T08:58:40.800Z",
"TRANSCRIBE": null,
"LABEL": "007",
"PID": 16488,
"SSO_ACCOUNT": "andyliu@as.edu.tw",
"FILE_SIZE": 4572,
"CONTENT_LENGTH": null,
"DIARIZE": 0,
"RETRY": -227,
"DURATION": 53.080816,
"IS_DELETE": null
}
2025-08-26 08:58:52 - INFO - [7512] ready to whisperx (before update_task)
2025-08-26 08:58:52 - INFO - [7512] ready to whisperx
2025-08-26 08:58:52 - INFO - [7512] after whisperx
2025-08-26 08:58:52 - INFO - [7512] Update the status of task 278435482 to IN_PROGRESS.
2025-08-26 08:58:52 - INFO - [33596] Worker process 7512 died, starting a new one.
2025-08-26 08:58:52 - INFO - [33596] Worker online: 39852
2025-08-26 08:58:53 - INFO - [39852] Worker process 39852 is running on http://127.0.0.1:3000
2025-08-26 08:58:54 - INFO - [24948] cleanup_task clean up 1 records.
2025-08-26 08:58:54 - INFO - [33596] Worker process 24948 died, starting a new one.
2025-08-26 08:58:55 - INFO - [33596] Worker online: 4296
2025-08-26 08:58:56 - INFO - [4296] Worker process 4296 is running on http://127.0.0.1:3000
- Note :
其中 ready to whisperx 跟 after whisperx 是我加在 main.js 的 const child_process = spawn(python_bin, [transcribe_script_path, task_filename, task_diarize]); 這行前後的log
另外我使用 exec_whisperx_task_v1.1.py 可以產生五個輸出檔，執行指令為 python exec_whisperx_task_v1.1.py "我的錄音 7.wav" "0"
【前端】:
http://127.0.0.1:443/www/translate
git bash log:
{"message":"The task was created successfully","task_objid":"278435484","status":5}
update jobs file ok
【後端】:
http://127.0.0.1:3000
git bash: $ ./run.sh status
Sparrow is running with PID 3048
設定檔
【前端 envfile】
SystemName=TranscriptHub
PORT=443
ContainerName=aisuite
OriginAllowList=http://127.0.0.1;http://localhost
AllowMethods=POST;GET;PUT;DELETE
ResponseType=code
DocumentRoot=www/html
TemplateRoot=www/template/
UploadFolder=tmp/
JobsFile=joblists
mailHost=smtp.sinica.edu.tw
smtpPort=25
smtpEmail=its@sinica.edu.tw
smtpPassword=
#sslKeyfile=D:\TranscriptHub\apps\backend\key.pem
#sslCertification=D:\TranscriptHub\apps\backend\certificate.pem
TranslateEndpoint=http://127.0.0.1:3000/api/v1/rest/
TranslateUrl=http://127.0.0.1:3000/api/v1/rest/CreateTranscribeTask
TranslateQueryUrl=http://127.0.0.1:3000/api/v1/rest/ViewAllTask
DownloadServer=http://127.0.0.1:3000/api/v1/rest/RetrieveTranscribe/
Scope=basic
TokenUrl=http://127.0.0.1/index.php/sso2/access_token
UserUrl=http://127.0.0.1/index.php/sso2/basic
JwtKey=justgps@gmail.com
MaxUploadSize=290
NGROK_AUTHTOKEN=
RAGUrl=
【後端 .env 】
#-------------------------
Runtime Configuration
#-------------------------
NODE_ENV=development # development, production, test
TASK_HOME=D:/tasks/whisper/TranscriptHub/apps/backend # Backend root folder
#-------------------------
Database Configuration
#-------------------------
NODE_DB=mssql # Database type
DB_USER=DBNAME # Database username
DB_PASSWORD=DB_PASSWORD # Database password
DB_SERVER=SERVER_IP # Database server address 10.11.61.82
DB_PORT=1433 # Database server address
DB_NAME=AI_AP # Database name
#-------------------------
Service Endpoints
#-------------------------
Task Processing Service => This is your backend server location
TASK_SERVER=127.0.0.1 # Task processing server host
TASK_SERVER_PORT=3000 # Task server port
Download Service => This is your backend server location
DOWNLOAD_SERVER=127.0.0.1 # File download server host
DOWNLOAD_SERVER_PORT=3000 # Download server port
Notification Service => This is your frontend server location
NOTIFY_SERVER=127.0.0.1 # Notification server host
NOTIFY_SERVER_PORT=443 # Notification server port (SSL) raw: 443
#-------------------------
External Services
#-------------------------
Hugging Face
HF_TOKEN=your_hf_token # Hugging Face API token
#-------------------------
Python Environment
#-------------------------
PYTHON_HOME=C:/Users/ID/AppData/Local/Programs/Python/Python311 # Python environment path
PYTHON_BIN=C:/Users/ID/AppData/Local/Programs/Python/Python311/python.exe # Python binary location
您好~ 想請教前後端串接問題
目前已架設前後端 api (同電腦)，但將音檔(wav) 上傳前端時，資料庫 TASK 資料表有紀錄到該筆資料，觀察到後端 whisperx 執行時會有 Worker process died 的情形
想請教一下是否有遇到過這個問題及建議呢? 如有需要補充說明再請告知，謝謝!
log:
2025-08-26 08:58:52 - INFO - [7512] Task 278435482 selected for execution
2025-08-26 08:58:52 - INFO - [7512] Execution of the task 278435482 has begun.
2025-08-26 08:58:52 - INFO_TABLE - [7512] {
"OBJID": "278435482",
"CREATE_AT": "2025-08-26T08:16:36.793Z",
"ORIGINAL_FILENAME": "我的錄音 7.wav",
"FILENAME": "audiofile-1756167396429.wav",
"STATUS": -2,
"ROUTE": "/api/v1/rest/CreateTranscribeTask",
"REF": null,
"FINISH_AT": null,
"EXEC_AT": "2025-08-26T08:58:40.800Z",
"TRANSCRIBE": null,
"LABEL": "007",
"PID": 16488,
"SSO_ACCOUNT": "andyliu@as.edu.tw",
"FILE_SIZE": 4572,
"CONTENT_LENGTH": null,
"DIARIZE": 0,
"RETRY": -227,
"DURATION": 53.080816,
"IS_DELETE": null
}
2025-08-26 08:58:52 - INFO - [7512] ready to whisperx (before update_task)
2025-08-26 08:58:52 - INFO - [7512] ready to whisperx
2025-08-26 08:58:52 - INFO - [7512] after whisperx
2025-08-26 08:58:52 - INFO - [7512] Update the status of task 278435482 to IN_PROGRESS.
2025-08-26 08:58:52 - INFO - [33596] Worker process 7512 died, starting a new one.
2025-08-26 08:58:52 - INFO - [33596] Worker online: 39852
2025-08-26 08:58:53 - INFO - [39852] Worker process 39852 is running on http://127.0.0.1:3000
2025-08-26 08:58:54 - INFO - [24948] cleanup_task clean up 1 records.
2025-08-26 08:58:54 - INFO - [33596] Worker process 24948 died, starting a new one.
2025-08-26 08:58:55 - INFO - [33596] Worker online: 4296
2025-08-26 08:58:56 - INFO - [4296] Worker process 4296 is running on http://127.0.0.1:3000
其中 ready to whisperx 跟 after whisperx 是我加在 main.js 的 const child_process = spawn(python_bin, [transcribe_script_path, task_filename, task_diarize]); 這行前後的log
另外我使用 exec_whisperx_task_v1.1.py 可以產生五個輸出檔，執行指令為 python exec_whisperx_task_v1.1.py "我的錄音 7.wav" "0"
【前端】:
http://127.0.0.1:443/www/translate
git bash log:
{"message":"The task was created successfully","task_objid":"278435484","status":5}
update jobs file ok
【後端】:
http://127.0.0.1:3000
git bash: $ ./run.sh status
Sparrow is running with PID 3048
設定檔
【前端 envfile】
SystemName=TranscriptHub
PORT=443
ContainerName=aisuite
OriginAllowList=http://127.0.0.1;http://localhost
AllowMethods=POST;GET;PUT;DELETE
ResponseType=code
DocumentRoot=www/html
TemplateRoot=www/template/
UploadFolder=tmp/
JobsFile=joblists
mailHost=smtp.sinica.edu.tw
smtpPort=25
smtpEmail=its@sinica.edu.tw
smtpPassword=
#sslKeyfile=D:\TranscriptHub\apps\backend\key.pem
#sslCertification=D:\TranscriptHub\apps\backend\certificate.pem
TranslateEndpoint=http://127.0.0.1:3000/api/v1/rest/
TranslateUrl=http://127.0.0.1:3000/api/v1/rest/CreateTranscribeTask
TranslateQueryUrl=http://127.0.0.1:3000/api/v1/rest/ViewAllTask
DownloadServer=http://127.0.0.1:3000/api/v1/rest/RetrieveTranscribe/
Scope=basic
TokenUrl=http://127.0.0.1/index.php/sso2/access_token
UserUrl=http://127.0.0.1/index.php/sso2/basic
JwtKey=justgps@gmail.com
MaxUploadSize=290
NGROK_AUTHTOKEN=
RAGUrl=
【後端 .env 】
#-------------------------
Runtime Configuration
#-------------------------
NODE_ENV=development # development, production, test
TASK_HOME=D:/tasks/whisper/TranscriptHub/apps/backend # Backend root folder
#-------------------------
Database Configuration
#-------------------------
NODE_DB=mssql # Database type
DB_USER=DBNAME # Database username
DB_PASSWORD=DB_PASSWORD # Database password
DB_SERVER=SERVER_IP # Database server address 10.11.61.82
DB_PORT=1433 # Database server address
DB_NAME=AI_AP # Database name
#-------------------------
Service Endpoints
#-------------------------
Task Processing Service => This is your backend server location
TASK_SERVER=127.0.0.1 # Task processing server host
TASK_SERVER_PORT=3000 # Task server port
Download Service => This is your backend server location
DOWNLOAD_SERVER=127.0.0.1 # File download server host
DOWNLOAD_SERVER_PORT=3000 # Download server port
Notification Service => This is your frontend server location
NOTIFY_SERVER=127.0.0.1 # Notification server host
NOTIFY_SERVER_PORT=443 # Notification server port (SSL) raw: 443
#-------------------------
External Services
#-------------------------
Hugging Face
HF_TOKEN=your_hf_token # Hugging Face API token
#-------------------------
Python Environment
#-------------------------
PYTHON_HOME=C:/Users/ID/AppData/Local/Programs/Python/Python311 # Python environment path
PYTHON_BIN=C:/Users/ID/AppData/Local/Programs/Python/Python311/python.exe # Python binary location