mirror of
https://github.com/allaunthefox/SilverSight.git
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allaun
85141a4b94
- Port NUVMAP projection engine from Research Stack to SilverSight with Q16_16 fixed-point (zero Float) and CBOR serialization - Add Rotational Wave — Braid Correspondence formalization at boundary (ChiralLabel, RossbyDrift, rossby_convergence_bound stubbed, kelvin_wave_eigensolid proven) - Add auto-pipeline CI workflow, webhook receiver, Forgejo MCP server - Add SOPS/Age encryption config - Add stack compose for portable deployment - Add rotational wave design doc
103 lines
4.2 KiB
Python
103 lines
4.2 KiB
Python
#!/usr/bin/env python3
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"""
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Auto-pipeline: Lean build → extract metadata → populate DB → RRC classify.
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Runs after every push to Semantics Lean sources.
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Usage:
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python3 auto_pipeline.py # full pipeline
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python3 auto_pipeline.py --db-only # recreate DB schema only
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python3 auto_pipeline.py --ci # CI mode (no build, just extract+predict)
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"""
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import subprocess, json, os, sys, argparse
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from pathlib import Path
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ROOT = Path(__file__).resolve().parent.parent
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NEON_PG = "postgres://postgres:postgres@100.92.88.64:5432"
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def sh(cmd, **kw):
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return subprocess.run(cmd, shell=True, capture_output=True, text=True, **kw)
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def pg(sql, db="research_stack"):
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r = sh(f"psql {NEON_PG}/{db} -c {shlex.quote(sql)}")
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if r.returncode != 0:
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print(f" DB error: {r.stderr[:200]}")
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# ── 1. Extract Lean metadata ──────────────────────────────────────────────
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SCAN_DIRS = [
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ROOT / "0-Core-Formalism" / "lean" / "Semantics",
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ROOT / "0-Core-Formalism" / "lean" / "SilverSight",
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]
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def extract_theorems():
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"""Scan Lean files for theorems, lemmas, defs, sorries."""
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theorems = []
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for d in SCAN_DIRS:
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for f in sorted(d.rglob("*.lean")):
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if ".lake" in str(f):
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continue
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rel = f.relative_to(ROOT)
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text = f.read_text()
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for line_no, line in enumerate(text.split("\n"), 1):
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for kw in ("theorem ", "lemma ", "def "):
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if kw in line:
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name = line.split(kw)[1].split()[0].split(":")[0].split(" ")[0]
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theorems.append({
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"name": name,
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"kind": kw.strip(),
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"file": str(rel),
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"line": line_no,
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"has_sorry": "sorry" in text,
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"source": f.readlines(),
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})
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return theorems
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# ── 2. Populate ENE DB ────────────────────────────────────────────────────
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def populate_ene(theorems):
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pg("CREATE SCHEMA IF NOT EXISTS ene", "research_stack")
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for t in theorems:
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pg(f"""INSERT INTO ene.packages (pkg, package_type, title, source, domain)
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VALUES ('lean:{t["file"]}:{t["name"]}', 'lean_theorem', '{t["name"]}', '{t["file"]}', 'lean')
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ON CONFLICT (pkg) DO NOTHING""", "research_stack")
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# ── 3. Run RRC Classification ─────────────────────────────────────────────
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def run_rrc():
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"""Run RRC compile pipeline and update predictions."""
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r = sh("cd {} && lake build Compiler 2>&1".format(
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ROOT / "0-Core-Formalism" / "lean" / "Semantics"), timeout=600)
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return r.returncode == 0
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# ── Main ──────────────────────────────────────────────────────────────────
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--db-only", action="store_true")
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parser.add_argument("--ci", action="store_true")
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args = parser.parse_args()
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if args.db_only:
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import shlex
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sql_path = Path(__file__).with_name("ene_schema.sql")
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r = sh(f"psql {NEON_PG}/research_stack -f {sql_path}")
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print(r.stdout[-200:] if r.stdout else r.stderr[-200:])
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return
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if not args.ci:
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print("[pipeline] Building Lean...")
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ok = run_rrc()
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print(f"[pipeline] Build {'OK' if ok else 'FAILED'}")
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print("[pipeline] Extracting theorems...")
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theorems = extract_theorems()
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print(f" Found {len(theorems)} theorem/lemma/def sites")
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print("[pipeline] Populating ENE...")
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populate_ene(theorems)
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print(" Done")
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print("[pipeline] RRC classification...")
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# Call the RRC compile skill logic here
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print(" RRC: pending integration")
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print("[pipeline] Complete")
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if __name__ == "__main__":
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main()
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