246 lines
7.3 KiB
Python
246 lines
7.3 KiB
Python
"""pdfplumber extraction wrapper for benchmark harness.
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Supports three modes:
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- sync: extract text page-by-page (sequential)
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- batch: process multiple files (simulated batch using loop)
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- server: persistent mode reading paths from stdin
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"""
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from __future__ import annotations
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import json
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import multiprocessing as _mp
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import os
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import platform
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import resource
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import sys
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import time
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from typing import Any
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import pdfplumber
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def _get_peak_memory_bytes() -> int:
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"""Get peak memory usage in bytes using resource module."""
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usage = resource.getrusage(resource.RUSAGE_SELF)
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if platform.system() == "Linux":
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return usage.ru_maxrss * 1024
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return usage.ru_maxrss
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def extract_sync(file_path: str) -> dict[str, Any]:
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"""Extract using synchronous single-file API."""
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start = time.perf_counter()
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with pdfplumber.open(file_path) as pdf:
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text_parts = []
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for page in pdf.pages:
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page_text = page.extract_text(layout=False)
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if page_text:
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text_parts.append(page_text)
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markdown = "\n\n".join(text_parts)
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duration_ms = (time.perf_counter() - start) * 1000.0
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return {
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"content": markdown,
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"metadata": {"framework": "pdfplumber"},
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"_extraction_time_ms": duration_ms,
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"_peak_memory_bytes": _get_peak_memory_bytes(),
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}
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def extract_batch(file_paths: list[str]) -> list[dict[str, Any]]:
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"""Extract multiple files (simulated batch - pdfplumber has no native batch API)."""
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start = time.perf_counter()
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results = []
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for file_path in file_paths:
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try:
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with pdfplumber.open(file_path) as pdf:
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text_parts = []
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for page in pdf.pages:
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page_text = page.extract_text(layout=False)
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if page_text:
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text_parts.append(page_text)
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markdown = "\n\n".join(text_parts)
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results.append(
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{
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"content": markdown,
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"metadata": {"framework": "pdfplumber"},
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}
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)
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except Exception as e:
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results.append(
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{
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"content": "",
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"metadata": {
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"framework": "pdfplumber",
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"error": str(e),
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},
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}
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)
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total_duration_ms = (time.perf_counter() - start) * 1000.0
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per_file_duration_ms = total_duration_ms / len(file_paths) if file_paths else 0
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peak_memory = _get_peak_memory_bytes()
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for result in results:
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result["_extraction_time_ms"] = per_file_duration_ms
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result["_batch_total_ms"] = total_duration_ms
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result["_peak_memory_bytes"] = peak_memory
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return results
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def _worker(fn, args, conn):
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"""Run extraction in a forked child process.
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Closes inherited stdin/stdout so the child cannot corrupt the
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parent's line-based JSON protocol.
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"""
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try:
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sys.stdin.close()
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sys.stdout = open(os.devnull, "w")
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except Exception:
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pass
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try:
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result = fn(*args)
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conn.send(result)
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except Exception as e:
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conn.send({"error": str(e), "_extraction_time_ms": 0})
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finally:
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conn.close()
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def _run_with_timeout(fn, args, timeout):
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"""Execute fn(*args) in a forked child with a timeout.
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On timeout the child is killed but the parent stays alive —
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no expensive process restart is needed.
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"""
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try:
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ctx = _mp.get_context("fork")
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parent_conn, child_conn = ctx.Pipe(duplex=False)
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p = ctx.Process(target=_worker, args=(fn, args, child_conn))
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p.start()
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child_conn.close()
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if parent_conn.poll(timeout=timeout):
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try:
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result = parent_conn.recv()
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except Exception:
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result = {"error": "worker process crashed", "_extraction_time_ms": 0}
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else:
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p.kill()
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result = {
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"error": f"extraction timed out after {timeout}s",
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"_extraction_time_ms": timeout * 1000.0,
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}
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p.join(timeout=5)
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if p.is_alive():
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p.kill()
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p.join()
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parent_conn.close()
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return result
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except Exception:
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# Fork not available — fall back to in-process extraction
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try:
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return fn(*args)
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except Exception as e:
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return {"error": str(e), "_extraction_time_ms": 0}
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def _parse_path(line: str) -> str:
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"""Parse a request line: JSON object with path field, or plain file path."""
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stripped = line.strip()
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if stripped.startswith("{"):
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try:
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return json.loads(stripped).get("path", "")
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except (json.JSONDecodeError, ValueError):
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pass
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return stripped
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def run_server(timeout=None) -> None:
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"""Persistent server mode: read paths from stdin, write JSON to stdout."""
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print("READY", flush=True)
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for line in sys.stdin:
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file_path = _parse_path(line)
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if not file_path:
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continue
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if timeout is not None:
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result = _run_with_timeout(extract_sync, (file_path,), timeout)
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else:
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try:
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result = extract_sync(file_path)
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except Exception as e:
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result = {"error": str(e), "_extraction_time_ms": 0}
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print(json.dumps(result), flush=True)
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def main() -> None:
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timeout = None
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args = []
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for arg in sys.argv[1:]:
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if arg in ("--ocr", "--no-ocr"):
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pass # Accepted but ignored - pdfplumber doesn't have OCR config
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elif arg.startswith("--timeout="):
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timeout = int(arg.split("=", 1)[1])
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elif arg.startswith("--format="):
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_fmt = arg.split("=", 1)[1]
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if _fmt != "plaintext":
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print(f"{sys.argv[0]} only supports plaintext output; got --format {_fmt}", file=sys.stderr)
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sys.exit(64)
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else:
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args.append(arg)
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if len(args) < 1:
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print(
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"Usage: pdfplumber_extract.py [--ocr|--no-ocr] [--timeout=SECS] <mode> <file_path> [additional_files...]",
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file=sys.stderr,
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)
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print("Modes: sync, batch, server", file=sys.stderr)
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sys.exit(1)
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mode = args[0]
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file_paths = args[1:]
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try:
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if mode == "server":
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run_server(timeout=timeout)
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elif mode == "sync":
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if len(file_paths) != 1:
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print("Error: sync mode requires exactly one file", file=sys.stderr)
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sys.exit(1)
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payload = extract_sync(file_paths[0])
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print(json.dumps(payload), end="")
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elif mode == "batch":
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if len(file_paths) < 1:
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print("Error: batch mode requires at least one file", file=sys.stderr)
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sys.exit(1)
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if len(file_paths) == 1:
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results = extract_batch(file_paths)
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print(json.dumps(results[0]), end="")
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else:
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results = extract_batch(file_paths)
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print(json.dumps(results), end="")
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else:
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print(f"Error: Unknown mode '{mode}'. Use sync, batch, or server", file=sys.stderr)
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sys.exit(1)
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except Exception as e:
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print(f"Error extracting with pdfplumber: {e}", file=sys.stderr)
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sys.exit(1)
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if __name__ == "__main__":
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main()
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