| """Phase 1 pipeline runner — executes all Phase 1 scripts in sequence. |
| |
| This script runs the complete Phase 1 pipeline: |
| 1. Electrochemical stability windows (Li/Na entries) |
| 2. CAVD channel dimensionality (all Li/Na entries with structures) |
| 3. SSE candidate score (all entries, 5-gate system) |
| 4. Mechanical properties (all entries, geometric proxy) |
| 5. Oxidation states (all entries, BVA + heuristic) |
| 6. JARVIS EaH (internal convex hull) |
| 7. Commercial-safe edition extraction |
| 8. Garnet enrichment (structure-based reclassification) |
| |
| Usage: |
| python scripts/run_phase1_pipeline.py # full pipeline |
| python scripts/run_phase1_pipeline.py --steps 1,3,5 # specific steps only |
| python scripts/run_phase1_pipeline.py --dry-run # stats only, no writes |
| python scripts/run_phase1_pipeline.py --skip-write # compute but don't save |
| """ |
| import sys, time, argparse, subprocess |
| from pathlib import Path |
|
|
| SCRIPTS_DIR = Path(__file__).resolve().parent |
| BASE_DIR = SCRIPTS_DIR.parent |
|
|
| STEPS = { |
| 1: ("Electrochemical Windows", "compute_electrochemical_windows.py", |
| ["python", "scripts/compute_electrochemical_windows.py", "--subset", "full"]), |
| 2: ("CAVD Channel Dimensionality", "compute_cavd_channel_dimensionality.py", |
| ["python", "scripts/compute_cavd_channel_dimensionality.py", "--subset", "full"]), |
| 3: ("SSE Candidate Score", "compute_sse_candidate_score.py", |
| ["python", "scripts/compute_sse_candidate_score.py", "--subset", "full"]), |
| 4: ("Mechanical Properties", "compute_mechanical_properties.py", |
| ["python", "scripts/compute_mechanical_properties.py"]), |
| 5: ("Oxidation States", "compute_oxidation_states.py", |
| ["python", "scripts/compute_oxidation_states.py"]), |
| 6: ("JARVIS EaH", "compute_jarvis_hull_energy.py", |
| ["python", "scripts/compute_jarvis_hull_energy.py"]), |
| 7: ("Commercial-Safe Edition", "extract_commercial_safe_edition.py", |
| ["python", "scripts/extract_commercial_safe_edition.py"]), |
| 8: ("Garnet Enrichment", "enrich_garnet_family.py", |
| ["python", "scripts/enrich_garnet_family.py"]), |
| } |
|
|
| STEP_ORDER = [1, 2, 3, 4, 5, 6, 7, 8] |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser(description="Phase 1 pipeline runner") |
| parser.add_argument("--steps", type=str, default=None, |
| help="Comma-separated step numbers (e.g. 1,3,5)") |
| parser.add_argument("--dry-run", action="store_true", |
| help="Add --dry-run to all scripts") |
| parser.add_argument("--skip-write", action="store_true", |
| help="Add --dry-run to dataset-modifying scripts") |
| args = parser.parse_args() |
| |
| if args.steps: |
| selected_steps = [int(s.strip()) for s in args.steps.split(",")] |
| else: |
| selected_steps = STEP_ORDER |
| |
| print("=" * 60) |
| print(" PHASE 1 PIPELINE") |
| print(" 8 steps to transform Scandium-Dataset into SSB screening resource") |
| print("=" * 60) |
| |
| total_start = time.time() |
| |
| for step_num in selected_steps: |
| if step_num not in STEPS: |
| print(f"\n [SKIP] Step {step_num}: unknown") |
| continue |
| |
| name, script, base_cmd = STEPS[step_num] |
| |
| print(f"\n{'─' * 60}") |
| print(f" Step {step_num}/8: {name}") |
| print(f" Script: scripts/{script}") |
| print(f"{'─' * 60}") |
| |
| cmd = list(base_cmd) |
| if args.dry_run or args.skip_write: |
| cmd.append("--dry-run") |
| |
| step_start = time.time() |
| print(f" Running: {' '.join(cmd)}") |
| print() |
| |
| result = subprocess.run(cmd, cwd=str(BASE_DIR), capture_output=True, text=True) |
| |
| |
| for line in result.stdout.split("\n"): |
| print(f" {line}") |
| |
| if result.stderr.strip(): |
| print(f"\n stderr:") |
| for line in result.stderr.strip().split("\n"): |
| print(f" ! {line}") |
| |
| if result.returncode != 0: |
| print(f"\n [FAILED] exit code {result.returncode}") |
| if not args.dry_run: |
| print(" Aborting pipeline.") |
| sys.exit(1) |
| |
| elapsed = time.time() - step_start |
| print(f"\n [{elapsed/60:.1f} min]") |
| |
| total_elapsed = time.time() - total_start |
| print(f"\n{'=' * 60}") |
| print(f" Pipeline complete: {len(selected_steps)} steps in {total_elapsed/60:.1f} min") |
| print(f"{'=' * 60}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|