Apply documentation changes based on PR review.
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@@ -15,7 +15,7 @@ class PrimaiteIO:
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"""
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Class for managing session IO.
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Currently it's handling path generation, but could expand to handle loading, transaction, tensorboard, and so on.
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Currently it's handling path generation, but could expand to handle loading, transaction, and so on.
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"""
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class Settings(BaseModel):
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@@ -27,8 +27,6 @@ class PrimaiteIO:
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"""Whether to save logs"""
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save_agent_actions: bool = True
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"""Whether to save a log of all agents' actions every step."""
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save_transactions: bool = True
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"""Whether to save transactions, If true, the session path will have a transactions folder."""
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save_step_metadata: bool = False
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"""Whether to save the RL agents' action, environment state, and other data at every single step."""
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save_pcap_logs: bool = False
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@@ -37,6 +35,12 @@ class PrimaiteIO:
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"""Whether to save system logs."""
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def __init__(self, settings: Optional[Settings] = None) -> None:
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"""
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Init the PrimaiteIO object.
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Note: Instantiating this object creates a new directory for outputs, and sets the global SIM_OUTPUT variable.
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It is intended that this object is instantiated when a new environment is created.
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"""
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self.settings = settings or PrimaiteIO.Settings()
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self.session_path: Path = self.generate_session_path()
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# set global SIM_OUTPUT path
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@@ -45,8 +49,6 @@ class PrimaiteIO:
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SIM_OUTPUT.save_sys_logs = self.settings.save_sys_logs
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self.agent_action_log: List[Dict] = []
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# warning TODO: must be careful not to re-initialise sessionIO because it will create a new path each time it's
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# possible refactor needed
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def generate_session_path(self, timestamp: Optional[datetime] = None) -> Path:
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"""Create a folder for the session and return the path to it."""
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@@ -61,7 +61,7 @@ class PrimaiteSession:
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"""Primaite Game object for managing main simulation loop and agents."""
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self.save_checkpoints: bool = False
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"""Whether to save chcekpoints."""
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"""Whether to save checkpoints."""
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self.checkpoint_interval: int = 10
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"""If save_checkpoints is true, checkpoints will be saved every checkpoint_interval episodes."""
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