## Summary
- Fixed the bug where session gets run twice when loading a session via CLI
- Added a test for the CLI run - xskipped while the bugfix for load session acting odd is tbd
- Fixed a minor bug in PrimAITE session where session_path is overwritten
## Test process
Added a new test for CLI, but xskipped while a different bug is tbd
Ran it locally and no longer runs another session after the loaded session
```
(venv) PS D:\Projects\ARCD\PrimAITE\PrimAITE> primaite session --load [REDACTED for security]\primaite\sessions\2023-07-20\2023-07-20_15-01-11
2023-07-20 15:04:21,320: Using: AgentFramework.SB3, AgentIdentifier.PPO, ActionType.NODE, observation_space=NODE_LINK_TABLE, Training: 5 episodes @ 256 stepsEvaluation: 5 episodes @ 256 steps
2023-07-20 15:04:21,335: Environment configuration loaded
Environment configuration loaded
2023-07-20 15:04:21,775: Welcome to the Primary-level AI Training Environment (PrimAITE) (version: 2.0.0rc1)
2023-07-20 15:04:21,775: The output directory for this session is: C:\Users\czar.echavez\primaite\sessions\2023-07-20\2023-07-20_15-04-21
2023-07-20 15:04:21,779: Beginning learning for 10 episodes @ 256 time steps...
2023-07-20 15:04:22,379: Episode: 1, Average Reward: -0.0020839843750000003
2023-07-20 15:04:23,137: Episode: 2, Average Reward: -0.0021933593750000004
2023-07-20 15:04:23,831: Episode: 3, Average Reward: -0.0022617187500000003
2023-07-20 15:04:24,486: Episode: 4, Average Reward: -0.002373046874999999
2023-07-20 15:04:25,125: Episode: 5, Average Reward: -0.0018066406250000014
2023-07-20 15:04:25,791: Episode: 6, Average Reward: -0.0017597656250000013
2023-07-20 15:04:26,415: Episode: 7, Average Reward: -0.0018437500000000014
2023-07-20 15:04:27,053: Episode: 8, Average Reward: -0.0019101562500000015
2023-07-20 15:04:27,715: Episode: 9, Average Reward: -0.0016777343750000013
2023-07-20 15:04:28,359: Episode: 10, Average Reward: -0.0015976562500000012
2023-07-20 15:04:28,550: Finished learning
2023-07-20 15:04:30,851: Beginning deterministic evaluation for 5 episodes @ 256 time steps...
2023-07-20 15:04:31,243: Episode: 1, Average Reward: -0.0018515625000000014
2023-07-20 15:04:31,663: Episode: 2, Average Reward: -0.0018515625000000014
2023-07-20 15:04:32,112: Episode: 3, Average Reward: -0.0018515625000000014
2023-07-20 15:04:32,505: Episode: 4, Average Reward: -0.0018515625000000014
2023-07-20 15:04:32,904: Episode: 5, Average Reward: -0.0018515625000000014
2023-07-20 15:04:32,998: Finished evaluation
```
Also fixed the xskipped tests, since the double running seems to have caused the issue of rewards not matching.
Added a test that runs the PrimAITE in CLI
## Checklist
- [x] This PR is linked to a **work item**
- [x] I have performed **self-review** of the code
- [x] I have written **tests** for any new functionality added with this PR
- [x] I have updated the **documentation** if this PR changes or adds functionality
- [x] I have run **pre-commit** checks for code style
#1595:
- Fixed the...
- Fixed the bug where session gets run twice when loading a session via CLI
- Added a test for the CLI run - xskipped while the bugfix for load session acting odd is tbd
- Fixed a minor bug in PrimAITE session where session_path is overwritten
## Summary
Quick test that uses RLLIB in a session
## Test process
The learning session completes then we check that the number of rows in both the average reward per episode and all transactions csv files.
## Checklist
- [X] This PR is linked to a **work item**
- [X] I have performed **self-review** of the code
- [X] I have written **tests** for any new functionality added with this PR
- [ ] I have updated the **documentation** if this PR changes or adds functionality
- [X] I have run **pre-commit** checks for code style
#1629 - Added rllib test
Related work items: #1629
- Removed bool apply_implicit_rule
- Set default implicit_rule to EXPLICIT DENY
- Added position to ACLs in laydown configs
- Removed apply_implicit_rule from training configs
- Added check in access_control_list.py which sets implicit permission to NA if boolean is False
- Changed the defaults in training_config.py so that each scenario has an EXPLICIT ALLOW rule as default implicit rule
- Updated the test_seeding_and_deterministic_session.py because of change no2 adds an extra rule to that scenario
- Added comments in access_control_list.py
- Changed obs_shape to max_number_acl_rules from max_number_acl_rules + 1 as index starts from 1
- Commented episode and step print line from test_single_action_space.py
