Merge pull request #10 from sul-dlss-labs/marcxml

Add support for converting from MARCXML

README.md

@@ -2,7 +2,7 @@
 
 [![Build Status](https://github.com/edsu/marctable/actions/workflows/test.yml/badge.svg)](https://github.com/edsu/marctable/actions/workflows/test.yml)
 
-*marctable* is a Python command line utility that converts MARC bibliographic data into tabular formats like [CSV] and [Parquet]. It uses the Library of Congress [MARC Bibliographic documentation] expressed as an [Avram] [JSON file] to determine what MARC fields and subfields to include and whether they can repeat or not.
+*marctable* is a Python command line utility that converts MARC bibliographic data (in transmission format or MARCXML) into tabular formats like [CSV] and [Parquet]. It uses the Library of Congress [MARC Bibliographic documentation] expressed as an [Avram] [JSON file] to determine what MARC fields and subfields to include and whether they can repeat or not.
 
 ## Install
 

marctable/utils.py

@@ -84,8 +84,14 @@ def records_iter(
     mapping = _mapping(rules)
     marc = MARC.from_avram()
 
+    # TODO: MARCXML parsing brings all the records into memory
+    if marc_input.name.endswith(".xml"):
+        reader = pymarc.marcxml.parse_xml_to_array(marc_input)
+    else:
+        reader = pymarc.MARCReader(marc_input)
+
     rows = []
-    for record in pymarc.MARCReader(marc_input):
+    for record in reader:
         # if pymarc can't make sense of a record it returns None
         if record is None:
             # TODO: log this?

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "marctable"
-version = "0.3.2"
+version = "0.4.0"
 description = "Convert MARC to CSV and Parquet"
 authors = ["Ed Summers <[email protected]>"]
 license = "Apache"