giles
1a74d811f7
Merges full history from art-dag/mono.git into the monorepo under the artdag/ directory. Contains: core (DAG engine), l1 (Celery rendering server), l2 (ActivityPub registry), common (shared templates/middleware), client (CLI), test (e2e). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> git-subtree-dir: artdag git-subtree-mainline:1a179de547git-subtree-split:4c2e716558
94 lines
2.8 KiB
Python
Executable File
94 lines
2.8 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Test the planning phase locally.
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This tests the new human-readable names and multi-output support
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without requiring actual video files or execution.
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"""
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import hashlib
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import json
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import sys
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from pathlib import Path
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# Add artdag to path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from artdag.planning import RecipePlanner, Recipe, ExecutionPlan
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def main():
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# Load recipe
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recipe_path = Path(__file__).parent / "simple_sequence.yaml"
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if not recipe_path.exists():
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print(f"Recipe not found: {recipe_path}")
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return 1
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recipe = Recipe.from_file(recipe_path)
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print(f"Recipe: {recipe.name} v{recipe.version}")
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print(f"Nodes: {len(recipe.nodes)}")
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print()
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# Fake input hash (would be real content hash in production)
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fake_input_hash = hashlib.sha3_256(b"fake video content").hexdigest()
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input_hashes = {"video": fake_input_hash}
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print(f"Input: video -> {fake_input_hash[:16]}...")
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print()
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# Generate plan
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planner = RecipePlanner(use_tree_reduction=True)
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plan = planner.plan(
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recipe=recipe,
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input_hashes=input_hashes,
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seed=42, # Optional seed for reproducibility
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)
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print("=== Generated Plan ===")
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print(f"Plan ID: {plan.plan_id[:24]}...")
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print(f"Plan Name: {plan.name}")
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print(f"Recipe Name: {plan.recipe_name}")
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print(f"Output: {plan.output_name}")
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print(f"Steps: {len(plan.steps)}")
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print()
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# Show steps by level
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steps_by_level = plan.get_steps_by_level()
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for level in sorted(steps_by_level.keys()):
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steps = steps_by_level[level]
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print(f"Level {level}: {len(steps)} step(s)")
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for step in steps:
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# Show human-readable name
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name = step.name or step.step_id[:20]
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print(f" - {name}")
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print(f" Type: {step.node_type}")
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print(f" Cache ID: {step.cache_id[:16]}...")
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if step.outputs:
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print(f" Outputs: {len(step.outputs)}")
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for out in step.outputs:
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print(f" - {out.name} ({out.media_type})")
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if step.inputs:
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print(f" Inputs: {[inp.name for inp in step.inputs]}")
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print()
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# Save plan for inspection
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plan_path = Path(__file__).parent.parent / "test_plan_output.json"
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with open(plan_path, "w") as f:
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f.write(plan.to_json())
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print(f"Plan saved to: {plan_path}")
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# Show plan JSON structure
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print()
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print("=== Plan JSON Preview ===")
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plan_dict = json.loads(plan.to_json())
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# Show first step as example
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if plan_dict.get("steps"):
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first_step = plan_dict["steps"][0]
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print(json.dumps(first_step, indent=2)[:500] + "...")
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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