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Acquire/Configure Credentials
- Contact SMILE Social Media Macroscope development team to acquire current SMILE credentials credentials Chen Wang
- Alternatively, you can set up your own set of credentials by configuring the below shell script.
Shell script:
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# system setting export DOCKERIZED=true # if use AWS algorithm, then you must use a static IP address export LOCAL_ALGORITHM=true export HOST_IP=<your host IP address> export HOME=<your path on host machine> export BUCKET_NAME=macroscope-smile # single user version vs multiple users export SINGLE_USER=true # create mounted volumes on host machine mkdir -p ${HOME}/smile_data mkdir -p ${HOME}/smile_data/${BUCKET_NAME} mkdir -p ${HOME}/smile_user mkdir -p ${HOME}/smile_tag # email notification (To enable notification, uncomment below and put down valid email server information) # export EMAIL_HOST= # export EMAIL_PORT= # export EMAIL_FROM_ADDRESS= # export EMAIL_PASSWORD= # put down your own RANDOM keys at least 8 digits; # if wish to align with your AWS deployment, please put down AWS access key and secret (Not required if LOCAL_ALGORITHM=true) export AWS_ACCESSKEY=AAAAAAAAAAAAAAAAAAAAA export AWS_ACCESSKEYSECRET=BBBBBBBBBBBBBBBBBBBBBBBBBB # social media platforms export REDDIT_CLIENT_ID= export REDDIT_CLIENT_SECRET= export TWITTER_CONSUMER_KEY= export TWITTER_CONSUMER_SECRET= # export export BOX_CLIENT_ID= export BOX_CLIENT_SECRET= export DROPBOX_CLIENT_ID= export DROPBOX_CLIENT_SECRET= export GOOGLE_CLIENT_ID= export GOOGLE_CLIENT_SECRET= # start docker-compose -f docker-compose-smile.yml up # stop # docker-compose -f docker-compose-smile.yml down -v |
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The HOME variable will be the location to hold persistent data, such as user information, social media and analytics output, tags and etc.
How to
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Run
All images you needed to run the stack have already been pushed to Docker Hub: https://hub.docker.com/orgs/socialmediamacroscope/repositories
All you need is the YAML configuration file to run.
You must Download the docker compose YAML file
compose yaml file here:
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docker-compose -f docker-compose-smile.yml pull
To remove Existing volume
docker volume rm {volume name. e.g.rabbitmq_smile_content_data}
Appendix:
SMILE and BAE images on Docker Hub
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