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seb/adapters/rpg_ingest.py
Cherry-picked from RBG-ibm-meta-corpus/ingest/rpg_matrix.py
Extended: maps RPG data-flow IR to SEB event schema.
Pipeline:
fixed-format RPG source (80-col)
β parse rows (F/I/C/O spec columns)
β extract reads/writes/opcodes
β build data flow graph
β map operations to SEB event types
β emit SEB event schema JSON
SEB event type mapping (from seb_types.ads EventTypeRegistry):
WRITE β target is an audit/ledger file β FISCAL_SETTLE 0x0100
WRITE β target is any other output file β INFRA_PROVISION 0x0001
CHAIN β DB2 lookup (read by key) β ARCH_DECISION 0x0010 (query)
EXSR β subroutine call β CONFIG_DEPLOY 0x0002
SETON LR β end-of-job β SOVEREIGN_ROOT 0xFFFF (if LR)
Usage:
python rpg_ingest.py <path-to-fixed-rpg> # parse + emit SEB schema
python rpg_ingest.py <path> --seb-events # show SEB event list only
python rpg_ingest.py <path> --adapter-stub # emit RPGLE adapter stub
Dependencies: stdlib only (no pip installs)
"""
from __future__ import annotations
import json
import re
import sys
from collections import Counter
from pathlib import Path
# ββ Config (inlined from config/column_map.json) βββββββββββββββββββββββββββββ
COLUMN_MAP: dict = {
"format": "fixed-rpg-80",
"base_columns": {
"sequence": {"start": 1, "end": 5},
"spec": {"start": 6, "end": 6},
"comment_tail": {"start": 54, "end": 80},
},
"layouts": {
"token_window": {"start": 7, "end": 60}
},
"spec_types": {
"H": "header", "F": "file", "E": "extension",
"L": "line_counter", "I": "input", "C": "calculation",
"O": "output", "*": "comment",
},
"opcode_classes": {
"ADD": "arithmetic", "SUB": "arithmetic", "MULT": "arithmetic",
"DIV": "arithmetic", "Z-ADD": "arithmetic", "MOVE": "move",
"MOVEL": "move", "CHAIN": "io", "READ": "io",
"WRITE": "io", "READE": "io", "READP": "io",
"IFEQ": "condition", "IFNE": "condition", "IFLT": "condition",
"IFGT": "condition", "IFLE": "condition", "IFGE": "condition",
"ELSE": "condition", "END": "condition", "BEGSR": "subroutine",
"ENDSR": "subroutine","EXSR": "subroutine", "PLIST": "parameter",
"PARM": "parameter", "SETON": "indicator", "SETOF": "indicator",
"CALL": "call", "RETURN": "call",
}
}
# ββ SEB event type codes ββββββββββββββββββββββββββββββββββββββββββββββββββββββ
SEB_INFRA_PROVISION = 0x0001 # execute capability
SEB_CONFIG_DEPLOY = 0x0002 # write capability
SEB_ARCH_DECISION = 0x0010 # verify capability (DB2 query / CHAIN)
SEB_FISCAL_SETTLE = 0x0100 # execute + weight=MAX (ledger write)
SEB_SOVEREIGN_ROOT = 0xFFFF # vacuum_collapse (LR seton = end job)
# Heuristics: file name patterns that indicate fiscal/ledger targets
FISCAL_PATTERNS = re.compile(
r'(LEDGER|AUDIT|SETTLE|FISCAL|GL_|PAY|JOURNAL|JRN|LEDGE|VAULT)',
re.IGNORECASE
)
TOKEN_RE = re.compile(r"\S+")
# ββ Parser (from rpg_matrix.py, unchanged) ββββββββββββββββββββββββββββββββββββ
def pad_line(line: str, width: int = 80) -> str:
return line.rstrip("\n").rstrip("\r")[:width].ljust(width)
def slice_1(text: str, start: int, end: int) -> str:
return text[start - 1 : end]
def normalize(s: str) -> str | None:
v = " ".join(s.strip().split())
return v or None
def classify_opcode(op: str) -> str:
return COLUMN_MAP["opcode_classes"].get(op.strip().upper(), "unknown")
def extract_tokens(line: str, start: int = 7, end: int = 53) -> list[str]:
return TOKEN_RE.findall(slice_1(line, start, end))
def find_opcode_idx(tokens: list[str]) -> int | None:
for i, t in enumerate(tokens):
if t.strip().upper() in COLUMN_MAP["opcode_classes"]:
return i
return None
def base_row(line: str, lineno: int) -> tuple[dict, str]:
cols = COLUMN_MAP["base_columns"]
spec = slice_1(line, cols["spec"]["start"], cols["spec"]["end"]).strip().upper()
if not spec and slice_1(line, 7, 7) == "*":
spec = "*"
row = {
"line_number": lineno,
"raw": line,
"spec_code": spec,
"spec_kind": COLUMN_MAP["spec_types"].get(spec, "unknown"),
"fields": {"sequence": slice_1(line, 1, 5).rstrip(),
"comment": slice_1(line, cols["comment_tail"]["start"],
cols["comment_tail"]["end"]).rstrip()},
"classification": {"domain": COLUMN_MAP["spec_types"].get(spec, "unknown"),
"is_comment": spec == "*",
"is_blank": not line.strip()},
"reads": [], "writes": [], "warnings": [],
}
return row, spec
def decode_file_row(line: str, row: dict) -> dict:
toks = extract_tokens(line)
name = toks[0] if toks else ""
row["fields"].update({"file_name": name, "access": toks[1] if len(toks) > 1 else "",
"keywords": toks[2:]})
if name: row["writes"].append(name)
else: row["warnings"].append("file row missing file_name")
return row
def decode_input_row(line: str, row: dict) -> dict:
toks = extract_tokens(line)
if not toks:
row["warnings"].append("input row has no tokens"); return row
if toks[0].isdigit():
row["classification"]["domain"] = "input_field"
fn = toks[2] if len(toks) > 2 else ""
row["fields"].update({"input_shape": "field", "field_from": toks[0],
"field_to": toks[1] if len(toks) > 1 else "",
"field_name": fn})
if fn: row["writes"].append(fn)
else:
row["classification"]["domain"] = "input_record"
row["fields"].update({"input_shape": "record", "record_name": toks[0]})
row["reads"].append(toks[0])
return row
def decode_calculation_row(line: str, row: dict) -> dict:
toks = extract_tokens(line)
idx = find_opcode_idx(toks)
comment = slice_1(line, 54, 80).rstrip()
if idx is None:
row["fields"].update({"factor1": "", "opcode": "", "factor2": "",
"result": "", "comment": comment, "tokens": toks})
row["classification"]["domain"] = "unknown"
row["warnings"].append("calculation row missing recognized opcode")
return row
op = toks[idx].strip().upper()
before = toks[:idx]; after = toks[idx + 1:]
f1 = before[-1] if before else ""
f2 = after[0] if after else ""
result = after[1] if len(after) > 1 else ""
if op in {"WRITE", "SETON", "SETOF", "END", "ELSE", "BEGSR", "ENDSR", "EXSR"}:
result = ""
row["fields"].update({"factor1": f1, "opcode": op, "factor2": f2,
"result": result, "comment": comment, "tokens": toks})
row["classification"]["domain"] = classify_opcode(op)
reads, writes = [], []
if f1 := normalize(f1): reads.append(f1)
if f2v := normalize(f2):
if op not in {"WRITE", "SETON"}: reads.append(f2v)
if rv := normalize(result):
if op in {"Z-ADD","ADD","SUB","MULT","DIV","MOVEL","MOVE","PARM"}: writes.append(rv)
if op == "CHAIN" and f2v: reads.append(f2v)
if op == "WRITE" and f2v: writes.append(f2v)
if op == "SETON" and f2v: writes.append(f2v)
if op in {"BEGSR","EXSR","ENDSR"} and f1: writes.append(f1)
row["reads"] = list(dict.fromkeys(reads))
row["writes"] = list(dict.fromkeys(writes))
return row
def decode_output_row(line: str, row: dict) -> dict:
toks = extract_tokens(line)
rec = toks[0] if toks else ""
row["classification"]["domain"] = "output"
row["fields"].update({"output_record": rec,
"operation": toks[1] if len(toks) > 1 else "",
"operands": toks[2:]})
if rec: row["writes"].append(rec)
else: row["warnings"].append("output row missing output_record")
return row
def decode_row(line: str, lineno: int) -> dict:
row, spec = base_row(line, lineno)
if row["classification"]["is_blank"] or row["classification"]["is_comment"]:
return row
if spec == "F": return decode_file_row(line, row)
if spec == "I": return decode_input_row(line, row)
if spec == "C": return decode_calculation_row(line, row)
if spec == "O": return decode_output_row(line, row)
return row
def build_matrix(lines: list[str]) -> list[list[int]]:
return [[ord(ch) for ch in line] for line in lines]
def build_flow(rows: list[dict]) -> dict:
nodes, edges = [], []
for row in rows:
nid = f"line_{row['line_number']}"
nodes.append({"id": nid, "line_number": row["line_number"],
"spec_kind": row["spec_kind"],
"opcode": row["fields"].get("opcode", "").strip(),
"domain": row["classification"]["domain"],
"warnings": row["warnings"]})
for s in row["reads"]: edges.append({"type": "reads", "symbol": s, "target": nid})
for s in row["writes"]: edges.append({"type": "writes", "symbol": s, "source": nid})
return {"nodes": nodes, "edges": edges}
def build_summary(rows: list[dict]) -> dict:
return {"spec_counts": dict(Counter(r["spec_kind"] for r in rows)),
"domain_counts": dict(Counter(r["classification"]["domain"] for r in rows)),
"warnings": [{"line_number": r["line_number"], "warnings": r["warnings"]}
for r in rows if r["warnings"]]}
# ββ SEB event mapping (new β not in original rpg_matrix.py) ββββββββββββββββββ
def row_to_seb_event(row: dict) -> dict | None:
"""Map a single RPG calculation row to a SEB event descriptor."""
op = row["fields"].get("opcode", "").strip().upper()
if not op:
return None
writes = row.get("writes", [])
reads = row.get("reads", [])
lineno = row["line_number"]
# WRITE to fiscal/ledger target β FISCAL_SETTLE
if op == "WRITE":
for w in writes:
if FISCAL_PATTERNS.search(w):
return {"line": lineno, "opcode": op, "target": w,
"seb_event_type": SEB_FISCAL_SETTLE,
"seb_event_name": "FISCAL_SETTLE",
"required_capability": "execute",
"weight": 0xFFFFFFFF,
"human_review_required": True}
for w in writes:
return {"line": lineno, "opcode": op, "target": w,
"seb_event_type": SEB_INFRA_PROVISION,
"seb_event_name": "INFRA_PROVISION",
"required_capability": "execute",
"weight": 1000,
"human_review_required": False}
# CHAIN β DB2 read-by-key β ARCH_DECISION (query event)
if op == "CHAIN":
target = reads[-1] if reads else "unknown"
return {"line": lineno, "opcode": op, "target": target,
"seb_event_type": SEB_ARCH_DECISION,
"seb_event_name": "ARCH_DECISION",
"required_capability": "verify",
"weight": 100,
"human_review_required": False}
# EXSR β subroutine call β CONFIG_DEPLOY
if op == "EXSR":
sub = reads[0] if reads else writes[0] if writes else "unknown"
return {"line": lineno, "opcode": op, "target": sub,
"seb_event_type": SEB_CONFIG_DEPLOY,
"seb_event_name": "CONFIG_DEPLOY",
"required_capability": "write",
"weight": 500,
"human_review_required": False}
# SETON LR β end-of-job β SOVEREIGN_ROOT
if op == "SETON":
factor2 = row["fields"].get("factor2", "").strip().upper()
if "LR" in factor2 or "LR" in writes:
return {"line": lineno, "opcode": op, "target": "LR",
"seb_event_type": SEB_SOVEREIGN_ROOT,
"seb_event_name": "SOVEREIGN_ROOT",
"required_capability": "vacuum_collapse",
"weight": 0xFFFFFFFF,
"human_review_required": True}
return None
def extract_seb_events(rows: list[dict]) -> list[dict]:
events = []
for row in rows:
if row["spec_code"] == "C":
evt = row_to_seb_event(row)
if evt:
events.append(evt)
return events
def emit_adapter_stub(source_name: str, events: list[dict]) -> str:
"""Emit an RPGLE adapter stub that emits the detected SEB events."""
lines = [
f"** SEB adapter stub generated from {source_name}",
f"** Cherry-picked rpg_ingest.py from RBG-ibm-meta-corpus",
f"** DO NOT EDIT β regenerate with: python rpg_ingest.py {source_name} --adapter-stub",
"**FREE",
"ctl-opt dftactgrp(*no) actgrp(*new) bnddir('SEB_BND');",
"",
"// SEB kernel entry points",
"dcl-pr SEB_Append_Event extproc(*dclcase);",
" Hdr pointer value options(*nopass);",
" Pay pointer value options(*nopass);",
" Ftr pointer value options(*nopass);",
"end-pr;",
"",
"dcl-pr SEB_Worm_Flush extproc(*dclcase);",
"end-pr;",
"",
]
for evt in events:
ename = evt["seb_event_name"]
etype = evt["seb_event_type"]
cap = evt["required_capability"]
hr = evt["human_review_required"]
target = evt["target"]
lines += [
f"// Line {evt['line']}: {evt['opcode']} {target}",
f"// SEB event: {ename} (0x{etype:04X}) cap={cap} human_review={hr}",
f"dcl-proc Emit_{ename}_{evt['line']} export;",
f" // TODO: build 68-byte Event_Header with Event_Type = 0x{etype:04X}",
f" // TODO: build payload from {target} record",
f" // TODO: call SEB_Append_Event(hdr_ptr : pay_ptr : ftr_ptr);",
f" // TODO: if human_review_required call SEB_Human_Review_Queue;",
f"end-proc;",
"",
]
lines += ["// Flush WORM chain after all events emitted",
"SEB_Worm_Flush();", "*inlr = *on;"]
return "\n".join(lines)
# ββ Main ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def main(argv: list[str]) -> int:
if len(argv) < 2:
print("usage: python rpg_ingest.py <path-to-fixed-rpg> [--seb-events] [--adapter-stub]")
return 1
source_path = Path(argv[1]).resolve()
if not source_path.exists():
print(f"error: not found: {source_path}"); return 1
mode_events = "--seb-events" in argv
mode_adapter = "--adapter-stub" in argv
lines = [pad_line(l) for l in source_path.read_text(encoding="utf-8").splitlines()]
rows = [decode_row(l, i + 1) for i, l in enumerate(lines)]
flow = build_flow(rows)
summary = build_summary(rows)
events = extract_seb_events(rows)
if mode_adapter:
print(emit_adapter_stub(source_path.name, events))
return 0
if mode_events:
print(json.dumps(events, indent=2))
return 0
# Default: full IR output
out = {
"source": str(source_path),
"shape": [len(rows), 80],
"summary": summary,
"seb_events": events,
"flow": flow,
"rows": rows,
"matrix": build_matrix(lines),
}
print(json.dumps(out, indent=2))
# Summary to stderr
import sys as _sys
print(f"\nsource: {source_path}", file=_sys.stderr)
print(f"specs: {summary['spec_counts']}", file=_sys.stderr)
print(f"seb_events: {len(events)}", file=_sys.stderr)
for e in events:
print(f" line {e['line']:4d} {e['opcode']:8s} β {e['seb_event_name']} (0x{e['seb_event_type']:04X})",
file=_sys.stderr)
print(f"warnings: {len(summary['warnings'])}", file=_sys.stderr)
return 0
if __name__ == "__main__":
raise SystemExit(main(sys.argv))
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