Check the main Bothub project repository.
bothub-backend (python 3.6)
bothub-nlp-celery (python 3.6)
- Python (3.6)
- Docker
- Docker-Compose
Use make
commands to init_development_env
.
Command | Description |
---|---|
make init_development_env | Init file .env with variables environment |
Variable | Type | Default | Description |
---|---|---|---|
ENVIRONMENT | str |
production |
|
BOTHUB_ENGINE_URL | str |
https://api.bothub.it |
Web service api url |
BOTHUB_NLP_API_HOST | str |
0.0.0.0 |
Web service ip |
BOTHUB_NLP_API_PORT | int |
2657 |
Web service port |
BOTHUB_NLP_API_WEB_CONCURRENCY | int |
None |
|
BOTHUB_NLP_API_WORKERS_PER_CORE | int |
3 |
|
BOTHUB_NLP_API_LOG_LEVEL | str |
info |
|
BOTHUB_NLP_API_KEEPALIVE | int |
120 |
|
BOTHUB_NLP_SENTRY_CLIENT | bool |
False |
Enable Sentry Client |
BOTHUB_NLP_SENTRY | str |
None |
Sentry Client URL |
SUPPORTED_LANGUAGES | str |
`en | pt` |
Variable | Type | Default | Description |
---|---|---|---|
BOTHUB_NLP_API_ENABLE_QA_ROUTE | bool |
False |
Enable QA api route |
BOTHUB_NLP_API_QA_TEXT_LIMIT | int |
25000 |
Limit of characters allowed in QA text |
BOTHUB_NLP_API_QA_QUESTION_LIMIT | int |
500 |
Limit of characters allowed in QA question |
Variable | Type | Default | Description |
---|---|---|---|
BOTHUB_SERVICE_TRAIN | str |
celery |
celery to train on celery worker or ai-platform to use GCP service |
BOTHUB_GOOGLE_PROJECT_ID | int |
None |
GCP project id |
BOTHUB_GOOGLE_CREDENTIALS_REFRESH_TOKEN | str |
None |
GCP credentials |
BOTHUB_GOOGLE_CREDENTIALS_TOKEN_URI | str |
None |
GCP credentials |
BOTHUB_GOOGLE_CREDENTIALS_CLIENT_ID | str |
None |
GCP credentials |
BOTHUB_GOOGLE_CREDENTIALS_CLIENT_SECRET | str |
None |
GCP credentials |
BOTHUB_GOOGLE_AI_PLATFORM_REGISTRY | str |
us.gcr.io/bothub/bothub-nlp-ai-platform |
Google Container Registry (GCR) project url |
BOTHUB_GOOGLE_AI_PLATFORM_IMAGE_VERSION | str |
1.0.0 |
String to match built image version in google GCR |
BOTHUB_GOOGLE_AI_PLATFORM_PACKAGE_URI | list |
["gs://poc-training-ai-platform/bothub-nlp-ai-platform/bothub-nlp-ai-platform-0.1.tar.gz"] |
|
BOTHUB_GOOGLE_AI_PLATFORM_JOB_TIMEOUT | int |
None |
Time limit (seconds) a job can run before sending a cancel signal to GCP |
Needed variables to connect to celery running on workers
Variable | Type | Default | Description |
---|---|---|---|
BOTHUB_NLP_CELERY_BROKER_URL | str |
redis://localhost:6379/0 |
Celery Broker URL, check usage instructions in Celery Docs |
BOTHUB_NLP_CELERY_BACKEND_URL | str |
BOTHUB_NLP_CELERY_BROKER_URL value |
Celery Backend URL, check usage instructions in Celery Docs |
Variables to set available queues running on workers
Variable | Type | Default | Description |
---|---|---|---|
AVAILABLE_SPACY_MODELS | string |
en|pt_br|es|fr|ru |
Available SPACY models of working nodes |
AVAILABLE_BERT_MODELS | string |
en|pt_br|xx |
Available BERT models of working nodes |
AVAILABLE_QA_MODELS | string |
en|pt_br|xx |
Available QA models of working nodes |
AVAILABLE_SPECIFIC_SPACY_QUEUES | string |
en|pt_br|es|fr|ru |
Available languages with word2vec models. It means there is workers listening to en-SPACY, pt_br-SPACY, ... queues |
AVAILABLE_SPECIFIC_BERT_QUEUES | string |
en|pt_br |
Available languages with BERT models. It means there is workers listening to en-BERT, pt_br-BERT queues. Other languages will be sent to multilang-BERT queue |
AVAILABLE_SPECIFIC_QA_QUEUES | string |
en|pt_br |
Available languages with QA models. It means there is workers listening to en-QA, pt_br-QA queues. Other languages will be sent to multilang-QA queue |
AVAILABLE_SPECIFIC_QUEUES | string |
"" |
Languages without model that need to be handled in exclusive queues. It means there is workers listening to "" queue. Other languages will be sent to multilang queue |