fastparse 0.1.0rc14

Python binding for the FastParse Tree-sitter parser library with bundled native runtime

FastParse Python Binding

Small ctypes binding for the FastParse native C library.

The binding keeps the same design boundary as the native library:

• Python owns file I/O.
• Python passes bytes already loaded in RAM.
• FastParse returns JSON, CSV, MessagePack binary, diagnostics, or stats in RAM.
• Python copies the returned native buffer and frees the native result.

Install

From PyPI, once the package is published:

pip install fastparse

From a downloaded wheel:

pip install fastparse-0.1.0rc14-py3-none-macosx_11_0_arm64.whl

The wheel includes the native library for its platform and py.typed markers for type-aware tooling, so normal users do not need FASTPARSE_LIBRARY_PATH.

Quick Use

from fastparse import FastParse

parser = FastParse()
source = b"class Demo { void run() {} }"

result = parser.parse_bytes(
    source,
    language="java",
    output_format="json",
    fields=["rule", "text", "byte_range"],
)

print(result.node_count)
print(result.json())

Binary MessagePack output:

result = tsmp.parse_bytes(
    source,
    language="java",
    output_format="binary",
    fields=["rule", "text", "byte_range"],
)

print(result.node_count)
print(result.data)  # MessagePack bytes

If the caller only needs node/output counts and does not need to copy the generated JSON/CSV into Python:

summary = parser.parse_bytes_summary(
    source,
    language="java",
    output_format="json",
)

print(summary.node_count)
print(summary.output_length)

Use FASTPARSE_LIBRARY_PATH to point at a specific native library:

FASTPARSE_LIBRARY_PATH=/path/to/libfastparse.dylib python your_script.py