TODO
This project is intended to be a task tracker and organizer with a knowledge graph.
Goals:
- Learn Go
- Improve PostgeSQL skills
- Implement some graph ML algoritms
- Learn knowledge base algorithms and inductive (axiomatic) inference
- Task
- Event
- Possibility
- Rule (fuzzy logic)
Task states:
* Created (C)
* In process (I)
* Failed (F)
* Done (D)
* Planned (P)
* Archived (A)
Operations:
* **Create**: {} -> Created
* **Edit**: * -> *
* **Fail**: {I, P} -> Failed
* **Plan**: {C, I} -> Planned
* **Complete**: {C, I, P} -> Done
* **Archive**: * -> Archive
* **Restore**: A -> *
* **Start**: {C, P} -> In process
- Docker, Docker Compose
- Go
- go-kit
- gorilla/mux
- pgx v4
- zap
- PostgreSQL
- PL/pgSQL
- pgTAP
- Javascript
- Tensorflow
- [Kotlin]
Note that the ./postgres
folder and its content must be in a+rx
mode in order to be sourced by psql in postgres
service
docker-compose up
starts the services. Note that postgres
is initialized with postgres/init.dev.sh
docker-compose down -v
shuts the services down and removes volumes
docker-compose exec postgres ash
opens ash
terminal in postgres
container
docker-compose exec web ash
opens ash
terminal in web
container
PostgreSQL can be accessed from your system through pgbouncer
connection pooler listening on port 6432
. Specify this port when using psql
, PgAdmin
, DataGrip
, etc.
TODO
- Basic DB
- Task tracker
- Task (with dependencies)
- Resource - basically, a proxy for images, documents, etc [ ] Environment
- Event (just as a log for now)
- Object
- Task tracker
- Basic REST API
- Task
- Resource
- Event
- Object
- Basic CLI client
- Task
- Resource
- Event
- Object
- Basic Docker
- PostgreSQL service
- Go web app service
- nginx service
- docker-compose.yaml
- Testing
- Go
- PL/pgSQL