Per user direction ('make a custom DSL ideal for recording the
call-graph or other metrics', 'I want a post-fix heiarchy', 'JSON
is ill-performant'): replaced JSON serializer with a custom
postfix (RPN) DSL tailored to the audit's record shapes.
THE CUSTOM DSL
- Postfix (operands before operator); no brackets, braces,
commas, or colons.
- Length-prefixed lists: N items followed by 'list' word.
- Tagged records: each 'word' is a constructor with a known
arity (action=3, fn=3, call=1, mut=3, exp-op=5, pair=2, int=1).
- Whitespace-tokenized; bare atoms unquoted; double quotes
only when whitespace/special chars present.
- nil for null; backslash for line comments; true/false for bool.
- Trivial parser (~30 lines): _tokenize_dsl splits on
whitespace and respects quotes + comments; parse_dsl
walks tokens and evaluates tagged words against a known
arity table (DSL_WORD_ARITY).
- Round-trips: to_dsl(profile) -> parse_dsl(to_dsl(profile))
yields the same in-memory structure.
DELIVERABLES (updated spec + plan)
- src/code_path_audit.py: to_dsl, dump_dsl, parse_dsl,
_tokenize_dsl, to_tree (prefix-tree text renderer),
to_markdown, to_mermaid.
- Output: .dsl files (machine) + .tree (human prefix view) +
.md (summary tables) + .mmd (Mermaid diagrams).
- No new pip dependencies; pure stdlib.
WHAT STAYED
- The 7 cost classes (file_io, network, ast_parse, json_io,
pickle, deep_copy, loop_amplified) and 5 mutation kinds
are unchanged. The json_io cost class is for JSON file
I/O the audit detects, not the output format.
- 36 tests total (15 + 8 + 10 + 3 across the 4 implementation
phases).
ed
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