PPM integrates with the NLP tool (RASA) and Microsoft Teams to identify intents, retrieve responses, and perform actions. PPM Chatbot serves as the message carrier between PPM and PPM users.
Theoretically, PPM Chatbot can automate anything that can be performed by calling PPM Webservices.
Main work categories where PPM Chatbot could be useful is the automation of routine tasks, data processing, and analysis. Such activities include but are not limited to:
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Use docker method to set up Rasa server. To use this method, Docker Engine and Docker Compose are required. For details, refer to the README.md in the package.
Support PPM23.3
Use docker method to set up Rasa server. To use this method, Docker Engine and Docker Compose are required. For details, refer to the README.md in the package.
Chatbot new function delivered in 9.62
1. Enable Chatbot to send notifications
2. Enable users to process workflow steps in Chatbot
3. Customize Chatbot welcome sentence
You shall apply new Rasa server VM image from ftp
https://ftp-pro.houston.softwaregrp.com/mffts
username: rasavm
password: Passw0rd
In this release, we provide three samples for customer easily set up Chatbot user cases
1. Create project risk
2. Create project issue
3. Copy timesheet from previous submitted timesheet
Packages include:
1. OOB samples (intent example, report type example and special command example. Also readme and special command introduction)
2. PPM Chatbot document includes introduction and how to set up
3. Rasa VM image for customer easier installation
Username: admin
Password: 1Qaz2wsx
(Please get the VM image from ftp://vm_rasa:Passw0rd@ftp-pro.houston.softwaregrp.com as a workaround since data
got lost during upload)
3. credentials.yml and endpoints.yml which are required to configure RASA
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