pjkm.core.engine.project_engine¶

ProjectEngine: top-level orchestrator that wires everything together.

Classes¶

`ProjectResult`	Aggregate result of a full project generation run.
`ProjectEngine`	Orchestrates project generation.

Module Contents¶

class pjkm.core.engine.project_engine.ProjectResult(/, **data)[source]¶

Bases: pydantic.BaseModel

Aggregate result of a full project generation run.

Parameters:: data (Any)

config: pjkm.core.models.project.ProjectConfig[source]¶

results: list[pjkm.core.models.task.TaskResult] = None[source]¶

property success: bool[source]¶

Return type:: bool

property failed_tasks: list[pjkm.core.models.task.TaskResult][source]¶

Return type:: list[pjkm.core.models.task.TaskResult]

property skipped_tasks: list[pjkm.core.models.task.TaskResult][source]¶

Return type:: list[pjkm.core.models.task.TaskResult]

property completed_tasks: list[pjkm.core.models.task.TaskResult][source]¶

Return type:: list[pjkm.core.models.task.TaskResult]

class pjkm.core.engine.project_engine.ProjectEngine(task_registry, dag_resolver=None)[source]¶

Orchestrates project generation.

Both CLI and TUI call engine.execute(config, on_event=…) with the same interface. The engine: 1. Gathers applicable tasks from the registry 2. Resolves execution order via DAG 3. Runs tasks via TaskRunner, emitting events 4. Returns a ProjectResult

Parameters:

task_registry (pjkm.core.tasks.registry.TaskRegistry)
dag_resolver (pjkm.core.engine.dag.DAGResolver | None)

execute(config, on_event=None, extra=None)[source]¶

Run the full project generation pipeline.

Parameters:

config (pjkm.core.models.project.ProjectConfig)
on_event (collections.abc.Callable[[pjkm.core.models.task.TaskEvent], None] | None)
extra (dict | None)

Return type: