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update .env.example
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lakhoune committed Feb 9, 2024
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25 changes: 16 additions & 9 deletions .env.example
Original file line number Diff line number Diff line change
@@ -1,19 +1,26 @@
MYSQL_USER = root
MYSQL_PASSWORD = root
MYSQL_HOST = localhost
MYSQL_PORT = 8085
MYSQL_HOST=localhost
MYSQL_PORT=8085

MYSQL_EVENTS_DB = LAS2PEERMON
MYSQL_BOTS_DB = SBF
RESOURCE_ID=0e01d6a089fb995228d599eccf39dcaec67712b6cd55e70c81bad741d032375b7aac317e68bb4028acc81dfa96ffd788589c7985d2044a2b51fd94f73685ea42

QUERY_PROCESSING_URL=https://mobsos.tech4comp.dbis.rwth-aachen.de/QVS
CONTACT_SERVICE_URL=https://mobsos.tech4comp.dbis.rwth-aachen.de/contactservice
WEBCONNECTOR_URL=https://mobsos.tech4comp.dbis.rwth-aachen.de
MYSQL_EVENTS_DB=EVENTLOG
MYSQL_BOTS_DB=SBF

SOCIAL_BOT_MANAGER_ENDPOINT=https://mobsos.tech4comp.dbis.rwth-aachen.de/SBFManager
WEBCONNECTOR_URL=http://127.0.0.1:8080

MYSQL_DB = LAS2PEERMON

PORT = 8082
RASA_IMAGE=khalosa/rasa-aarch64:3.5.2
BUILDPLATFORM=linux/arm64/v8
OPENAI_API_KEY=
CORS_ORIGIN=http://localhost:8082

SOCIAL_BOT_MANAGER_IMAGE=registry.tech4comp.dbis.rwth-aachen.de/rwthacis/social-bot-manager:ma-lakhoune
MOBSOS_DATA_PROCESSING_IMAGE=registry.tech4comp.dbis.rwth-aachen.de/rwthacis/mobsos-data-processing:ma-lakhoune
SBF_IMAGE=registry.tech4comp.dbis.rwth-aachen.de/rwthacis/sbf-utils:ma-lakhoune
EVENT_LOG_GENERATOR_IMAGE=registry.tech4comp.dbis.rwth-aachen.de/rwthacis/event-log-generator:0.1.9
PM4BOTS_IMAGE=processminingforbots:latest
CORS_ORIGIN=http://localhost:8082
DEFAULT_BOT_PASSWORD=actingAgent
2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -21,5 +21,5 @@ The `assets` folder contains some sample data that can be used to test the frame
This repository also contains a Flask app REST API that can be used to interact with the framework and a Dockerfile to run the app in a container. To run the app, follow these steps:

- configure the environment variables in the `.env` file, you can use the `.env.example` file as a template. In most cases, you will not need to change the values.
- Build the Docker image using `docker build -t process-mining-for-bots .`
- Build the Docker image using `docker build -t processminingforbots:latest .`
- Run docker compose using `docker compose up`

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