Parser API¶
The parser module is responsible for converting OCaml interface files (.mli) into the intermediate representation (IR).
Overview¶
The parser takes OCaml .mli files as input and produces language-agnostic IR that can be used by any generator. This abstraction allows adding support for new source languages (Rust, Python, etc.) without changing generators.
OCaml Parser¶
polyglot_ffi.parsers.ocaml.OCamlParser
¶
Parse OCaml .mli interface files into IR.
Supports: - Primitive types (string, int, float, bool, unit) - Complex types (option, list, tuple, record, variant) - Type variables ('a, 'b, etc.)
Source code in src/polyglot_ffi/parsers/ocaml.py
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Functions¶
__init__(content, filename='<unknown>')
¶
parse()
¶
Parse the content and return an IR module.
Source code in src/polyglot_ffi/parsers/ocaml.py
parse_file(path)
classmethod
¶
parse_string(content, filename='<string>')
classmethod
¶
Parse a string containing OCaml interface code.
Convenience Functions¶
polyglot_ffi.parsers.ocaml.parse_mli_file(path)
¶
Convenience function to parse a .mli file.
polyglot_ffi.parsers.ocaml.parse_mli_string(content)
¶
Convenience function to parse OCaml interface code from a string.
Usage Examples¶
Parsing from File¶
from pathlib import Path
from polyglot_ffi.parsers.ocaml import OCamlParser
# Method 1: Using class method
module = OCamlParser.parse_file(Path("crypto.mli"))
# Method 2: Using convenience function
from polyglot_ffi.parsers.ocaml import parse_mli_file
module = parse_mli_file(Path("crypto.mli"))
print(f"Module: {module.name}")
print(f"Functions: {len(module.functions)}")
Parsing from String¶
from polyglot_ffi.parsers.ocaml import parse_mli_string
mli_code = """
val encrypt : string -> string
val decrypt : string -> string
"""
module = parse_mli_string(mli_code)
for func in module.functions:
print(f"Function: {func.name}")
print(f" Parameters: {[p.name for p in func.parameters]}")
print(f" Return type: {func.return_type}")
Custom Parser Instance¶
from polyglot_ffi.parsers.ocaml import OCamlParser
content = Path("api.mli").read_text()
parser = OCamlParser(content, filename="api.mli")
module = parser.parse()
# Access parsed data
for func in module.functions:
print(f"{func.name}: {func.signature}")
Supported OCaml Syntax¶
Primitive Types¶
string- String typeint- Integer typefloat- Floating point typebool- Boolean typeunit- Unit/void type
Complex Types¶
- Option types:
'a option,string option,int option - List types:
'a list,string list,int list - Tuple types:
'a * 'b,string * int,int * string * bool - Record types: Named field records
- Variant types: Sum types with constructors
- Type variables:
'a,'b, etc. (polymorphic types) - Custom types: User-defined type names
Function Signatures¶
(* Simple function *)
val process : string -> string
(* Multiple parameters *)
val add : int -> int -> int
(* No parameters *)
val get_version : unit -> string
(* Complex types *)
val find : string -> string option
val map : ('a -> 'b) -> 'a list -> 'b list
(* With documentation *)
(** Encrypt a string using AES-256 *)
val encrypt : string -> string
Error Handling¶
The parser raises ParseError exceptions with detailed information:
from polyglot_ffi.parsers.ocaml import parse_mli_string
from polyglot_ffi.utils.errors import ParseError
try:
module = parse_mli_string("val invalid : unknown_type -> string")
except ParseError as e:
print(f"Parse error: {e.message}")
print(f"Line: {e.context.line}")
print(f"File: {e.context.file_path}")
if e.suggestions:
print(f"Suggestions: {', '.join(e.suggestions)}")
Common Parse Errors¶
| Error | Cause | Suggestion |
|---|---|---|
| Unsupported type | Unknown type name | Check type name spelling, use supported types |
| Invalid signature | Malformed function signature | Check syntax: val name : type -> type |
| Invalid record | Record syntax error | Use type t = { field : type } |
| Invalid variant | Variant syntax error | Use type t = Constructor \| Other |
Performance¶
The parser is optimized for speed:
- Regex pre-compilation: Patterns compiled once at class level
- Single-pass parsing: Each line read once
- Lazy evaluation: Only parses when needed
Typical performance: - Small files (< 10 functions): ~0.01ms - Medium files (10-50 functions): ~0.05ms - Large files (100+ functions): ~0.3ms
See Also¶
- IR Types - Intermediate representation
- Type System - Type mappings
- Generators - Code generation