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# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at https://mozilla.org/MPL/2.0/.
"""Phase 18: CLI — semantic-engine command line interface."""
import json
import sys
from pathlib import Path
# Allow running from repo root
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
import argparse
from semantic_engine import SemanticPipeline, PipelineResult, RawInput, OutputMode
from semantic_engine.nlp import normalize_input
from semantic_engine.boolean_engine import semantic_constraints_to_boolean, normalize as bool_normalize
from semantic_engine.token_engine import BoolEncoder, encode_binary, decode, encode
from semantic_engine.latin import LatinCanonicalizer
from semantic_engine.lexer import LatinLexer
from semantic_engine.rosetta import RosettaMapper
from semantic_engine.subleq import build_program_from_rosetta
from semantic_engine.verifier import Verifier
def read_input(path: str) -> RawInput:
p = Path(path)
if not p.exists():
print(f"error: file not found: {path}", file=sys.stderr)
sys.exit(1)
return RawInput(text=p.read_text().strip(), source=str(p))
def cmd_parse(args):
raw = read_input(args.input)
normalized = normalize_input(raw)
out = {
"input_id": raw.input_id,
"input_hash": raw.hash,
"text": normalized.text,
"tokens": list(normalized.tokens),
"sentences": list(normalized.sentences),
}
print(json.dumps(out, indent=2) if args.json else f"Tokens: {list(normalized.tokens)}")
def cmd_inspect(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw)
if result.ir:
ir = result.ir
out = {
"ir_id": ir.ir_id,
"intent": ir.intent.value,
"nodes": len(ir.nodes),
"verification": ir.verification_state.name,
"hash": ir.hash(),
}
print(json.dumps(out, indent=2) if args.json else str(out))
else:
print(f"error: {result.error}", file=sys.stderr)
sys.exit(1)
def cmd_normalize(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw)
if result.ir:
from semantic_engine.boolean_engine import semantic_constraints_to_boolean
bnf = semantic_constraints_to_boolean(result.ir.root.constraints)
print(f"Normalized: {bnf.normalized}")
print(f"Stable: {bnf.stable}")
else:
print(f"error: {result.error}", file=sys.stderr)
sys.exit(1)
def cmd_boolean(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw)
if result.ir:
bnf = semantic_constraints_to_boolean(result.ir.root.constraints)
print(f"Boolean form: {bnf.normalized}")
else:
print(f"error: {result.error}", file=sys.stderr)
sys.exit(1)
def cmd_tokens(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw)
if result.ir:
bnf = semantic_constraints_to_boolean(result.ir.root.constraints)
encoder = BoolEncoder()
stream = encoder.encode_expr(bnf.normalized)
for tok in stream:
print(repr(tok))
else:
print(f"error: {result.error}", file=sys.stderr)
sys.exit(1)
def cmd_latin(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw)
if result.ir:
bnf = semantic_constraints_to_boolean(result.ir.root.constraints)
encoder = BoolEncoder()
stream = encoder.encode_expr(bnf.normalized)
latin = LatinCanonicalizer().canonicalize(stream)
print(latin.text())
else:
print(f"error: {result.error}", file=sys.stderr)
sys.exit(1)
def cmd_subleq(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw)
if result.subleq_listing:
print(result.subleq_listing)
else:
print(f"error: {result.error}", file=sys.stderr)
sys.exit(1)
def cmd_verify(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw)
status = "VERIFIED" if result.ok else "REJECTED"
print(f"Status: {status}")
if result.error:
print(f"Error: {result.error}")
for line in result.trace:
print(f" {line}")
def cmd_artifact(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw, output_mode=OutputMode.NATURAL_LANGUAGE)
if result.artifact:
print(result.artifact.content)
else:
print(f"error: {result.error}", file=sys.stderr)
sys.exit(1)
def cmd_backend(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw, output_mode=OutputMode.CODE)
if result.artifact:
print(result.artifact.content)
else:
print(f"error: {result.error}", file=sys.stderr)
sys.exit(1)
def cmd_run(args):
raw = read_input(args.input)
pipeline = SemanticPipeline()
result = pipeline.run(raw)
if args.trace:
print("=== TRACE ===")
for line in result.trace:
print(f" {line}")
print()
if args.subleq:
print("=== SUBLEQ ===")
print(result.subleq_listing)
print()
if args.provenance:
print("=== PROVENANCE ===")
if result.ir:
print(f" IR: {result.ir.ir_id}")
print(f" Stage: {result.ir.provenance.stage}")
print()
if args.tokens and result.ir:
print("=== TOKENS ===")
from semantic_engine.boolean_engine import semantic_constraints_to_boolean
bnf = semantic_constraints_to_boolean(result.ir.root.constraints)
encoder = BoolEncoder()
stream = encoder.encode_expr(bnf.normalized)
for tok in stream:
print(f" {repr(tok)}")
print()
if result.artifact:
print("=== OUTPUT ===")
print(result.artifact.content)
else:
print(f"error: {result.error}", file=sys.stderr)
sys.exit(1)
print(f"\nStatus: {'VERIFIED' if result.ok else 'REJECTED'}")
for k, v in result.hashes.items():
print(f" {k}: {v[:16]}")
def main():
parser = argparse.ArgumentParser(
prog="semantic-engine",
description="Deterministic semantic transformation pipeline",
)
parser.add_argument("--json", action="store_true", help="Machine-readable JSON output")
sub = parser.add_subparsers(dest="command", required=True)
for name, fn, help_text in [
("parse", cmd_parse, "Tokenize and segment input"),
("inspect", cmd_inspect, "Build and inspect the Semantic IR"),
("normalize", cmd_normalize, "Show Boolean normalization"),
("boolean", cmd_boolean, "Show Boolean IR"),
("tokens", cmd_tokens, "Show Boolean token stream"),
("latin", cmd_latin, "Show Latin canonical form"),
("subleq", cmd_subleq, "Show SUBLEQ IR listing"),
("verify", cmd_verify, "Run full verification and show results"),
("artifact", cmd_artifact, "Emit natural-language artifact"),
("backend", cmd_backend, "Emit backend source artifact"),
]:
p = sub.add_parser(name, help=help_text)
p.add_argument("input", help="Path to input file")
p.set_defaults(func=fn)
run_p = sub.add_parser("run", help="Run full pipeline with optional trace flags")
run_p.add_argument("input")
run_p.add_argument("--trace", action="store_true")
run_p.add_argument("--subleq", action="store_true")
run_p.add_argument("--tokens", action="store_true")
run_p.add_argument("--provenance", action="store_true")
run_p.set_defaults(func=cmd_run)
args = parser.parse_args()
args.func(args)
if __name__ == "__main__":
main()
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