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Co-authored-by: bytecii <bytecii@users.noreply.github.com> Co-authored-by: Wendong-Fan <133094783+Wendong-Fan@users.noreply.github.com>
78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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from __future__ import annotations
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import argparse
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import logging
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from pathlib import Path
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from adapter import EigentBenchAdapter
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logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")
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logger = logging.getLogger(__name__)
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HARBOR_DATASETS_DIR = Path(__file__).resolve().parent / "datasets"
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def main() -> None:
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parser = argparse.ArgumentParser(
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description="Convert eigent benchmark tasks into Harbor task directories."
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)
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parser.add_argument(
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"--output-dir",
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type=Path,
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default=None,
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help=f"Output directory (default: {HARBOR_DATASETS_DIR / 'eigent-bench'})",
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)
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parser.add_argument(
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"--benchmark-dir",
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type=Path,
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default=None,
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help="Path to eigent benchmark/ directory (default: auto-detect)",
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)
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parser.add_argument(
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"--limit",
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type=int,
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default=None,
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help="Maximum number of tasks to generate.",
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)
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parser.add_argument(
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"--checker-weight",
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type=float,
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default=0.5,
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help="Weight for checker score in reward (default: 0.5)",
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)
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parser.add_argument(
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"--grader-weight",
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type=float,
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default=0.5,
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help="Weight for grader score in reward (default: 0.5)",
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)
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args = parser.parse_args()
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output_dir = args.output_dir or (HARBOR_DATASETS_DIR / "eigent-bench")
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adapter = EigentBenchAdapter(
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task_dir=output_dir,
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benchmark_dir=args.benchmark_dir,
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checker_weight=args.checker_weight,
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grader_weight=args.grader_weight,
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)
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adapter.generate_all_tasks(limit=args.limit)
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logger.info("Done. Tasks written to %s", output_dir)
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if __name__ == "__main__":
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main()
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