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License: MIT License
Implementation of sc-machine with neo4j
License: MIT License
This tool should support existing pipeline
Implement scripts to run CI on github actions.
Port parser from C++ implementation to python.
This wrapper takes care about membership of elements in const
, var
and type sets.
Figure out best way to implement a file memory. This should be a service that allows to upload files and get temporary links for them (with expire period). Something similar to s3 from AWS.
Tornado application should start client connection to neo4j server using client placed in. db
folder. All configuration should be placed at the same file that used for tornado application.
Figure out how to implement agents. Need to determine whole pipeline from Kafka Plugin to call in python code.
As a start point:
Some questions:
Backend is not a server that render any html files. This is service model. Think about backend like about API service.
It should provide possibility to register/login for users.
User login data should be stored in separate database (mongo, sql, etc). For each user we should have such information:
User:
- id # uuid
- login
- pasword hash
- display name
This info could be extended by any other info. For example: last_login_time
When user register or login we should check node in memory and create if it is not exists. We should not store any sensitive info in knowledge base. I think best would be to store only user.id
.
Example construction:
..user_instance
<- user;
=> nrel_user_id: [user.id];;
Let develop our frontend by this free template.
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