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modstool/check_dtypes.py

87 lines
3 KiB
Python

import re
import warnings
import os
with warnings.catch_warnings():
# Filter warnings on WSL
if "Microsoft" in os.uname().release:
warnings.simplefilter("ignore")
import pandas as pd
mods_info = pd.read_parquet("mods_info_df.parquet")
page_info = pd.read_parquet("page_info_df.parquet")
alto_info = pd.read_parquet("alto_info_df.parquet")
# Check
EXPECTED_TYPES = {
# mods_info
r"mets_file": ("object", ["str"]),
r"titleInfo_title": ("object", ["str"]),
r"titleInfo_subTitle": ("object", ["str", "NoneType"]),
r"titleInfo_partName": ("object", ["str", "NoneType"]),
r"identifier-.*": ("object", ["str", "NoneType"]),
r"location_.*": ("object", ["str", "NoneType"]),
r"name\d+_.*roleTerm": ("object", ["ndarray", "NoneType"]),
r"name\d+_.*": ("object", ["str", "NoneType"]),
r"relatedItem-.*_recordInfo_recordIdentifier": ("object", ["str", "NoneType"]),
r"typeOfResource": ("object", ["str", "NoneType"]),
r"accessCondition-.*": ("object", ["str", "NoneType"]),
r"originInfo-.*": ("object", ["str", "NoneType"]),
r".*-count": ("Int64", None),
r"genre-.*": ("object", ["ndarray", "NoneType"]),
r"subject-.*": ("object", ["ndarray", "NoneType"]),
r"language_.*Term": ("object", ["ndarray", "NoneType"]),
r"classification-.*": ("object", ["ndarray", "NoneType"]),
# page_info
r"fileGrp_.*_file_FLocat_href": ("object", ["str", "NoneType"]),
r"structMap-LOGICAL_TYPE_.*": ("boolean", None),
# alto_info
r"Description_.*": ("object", ["str", "NoneType"]),
r"Layout_Page_ID": ("object", ["str", "NoneType"]),
r"Layout_Page_PHYSICAL_(IMG|IMAGE)_NR": ("object", ["str", "NoneType"]),
r"Layout_Page_PROCESSING": ("object", ["str", "NoneType"]),
r"Layout_Page_QUALITY": ("object", ["str", "NoneType"]),
r"Layout_Page_//alto:String/@WC-.*": ("Float64", None),
r"alto_xmlns": ("object", ["str", "NoneType"]),
r"Layout_Page_(WIDTH|HEIGHT)": ("Int64", None),
}
def expected_types(c):
for r, types in EXPECTED_TYPES.items():
if re.fullmatch(r, c):
edt = types[0]
einner_types = types[1]
if einner_types:
einner_types = set(einner_types)
return edt, einner_types
return None, None
def check_types(df):
for c in df.columns:
dt = df.dtypes[c]
edt, einner_types = expected_types(c)
if edt is None:
print(f"No expected dtype known for column {c} (got {dt})")
elif dt != edt:
print(f"Unexpected dtype {dt} for column {c} (expected {edt})")
if edt == "object":
inner_types = set(type(v).__name__ for v in df[c])
if any(it not in einner_types for it in inner_types):
print(f"Unexpected inner types {inner_types} for column {c} (expected {einner_types})")
check_types(mods_info)
check_types(page_info)
check_types(alto_info)