config.example

# This is config.example file for chatbot_ner module similar to .env.example file to hold settings
# Copy it to a file named config and fill in all the values.
# Never push your personal keys and passwords to any public repository!
# Make sure the variables in this file are in the environment. Example:
#   $ source chatbot_ner/config
# Please don't add spaces around '='

# This is the primary engine to use. Valid values are one of the following:
#     elasticsearch

ENGINE=elasticsearch

# ES prefixed values correspond to settings for elasticsearch.
# ES_URL is the complete url with auth name and password required to connect. If provided, this will override ES_HOST,
# ES_PORT, ES_AUTH_NAME, ES_AUTH_PASSWORD
# ES_HOST by default is host for ES that comes up with compose

ES_AUTH_NAME=
ES_AUTH_PASSWORD=
ES_HOST=elasticsearch
ES_URL=
ES_PORT=9200
ES_INDEX_NAME=entity_data
ES_DOC_TYPE=data_dictionary

NAME=chatbot_ner
DJANGODIR=/app
NUM_WORKERS=1
MAX_REQUESTS=1000
DJANGO_SETTINGS_MODULE=chatbot_ner.settings
DJANGO_WSGI_MODULE=chatbot_ner/wsgi.py
DJANGO_LOG_LEVEL=debug
DJANGO_DEBUG=False
PORT=8081
TIMEOUT=600

CITY_MODEL_TYPE=crf
CITY_MODEL_PATH=
GOOGLE_TRANSLATE_API_KEY=


# ES_BULK_MSG_SIZE is an integer value
ES_BULK_MSG_SIZE=1000

# ES_SEARCH_SIZE is an integer value
ES_SEARCH_SIZE=10000

# Provide the following values if you need AWS authentication
ES_AWS_SECRET_ACCESS_KEY=
ES_AWS_ACCESS_KEY_ID=
ES_AWS_REGION=
ES_AWS_SERVICE=

# In order to enable entity detection for multiple languages, we use google translate. Please enter the key(optional)
GOOGLE_TRANSLATE_API_KEY=