1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
|
import io
import sys
import sqlite3
import argparse
from typing import List, Dict, Optional, Any
import requests
import internetarchive
from fatcat_scholar.djvu import djvu_extract_leaf_texts
from fatcat_scholar.issue_db import IssueDB
from fatcat_scholar.schema import (
DocType,
IntermediateBundle,
)
def truncate_pub_meta(full: Dict[str, Any]) -> Dict[str, Any]:
"""
Takes a complete archive.org metadata dictionary for a publication
collection, and simplifies it by removing fields. Motivation is to make
intermediate bundle files smaller.
"""
full.pop("files")
if "ulrichs" in full and full["ulrichs"]:
full["ulrichs"][0].pop("reviews_mfl")
full["ulrichs"][0].pop("editorial_description")
# these are interesting, but just too long
full["ulrichs"][0].pop("online_availability_full_text")
full["ulrichs"][0].pop("abstracting_indexing")
full["ulrichs"][0].pop("publisher_and_ordering_details")
return full
def truncate_issue_meta(full: Dict[str, Any]) -> Dict[str, Any]:
"""
Same as truncate_pub_meta() but for issue item metadata
"""
full.pop("files")
return full
class SimPipeline:
def __init__(self, issue_db: IssueDB):
self.issue_db: IssueDB = issue_db
self.ia_client = internetarchive.get_session()
def fetch_sim_issue(self, issue_item: str, pub_collection: str) -> Optional[Any]:
"""
issue_item
pages: str
page_texts: list
raw_text
page_num
leaf_num
release_ident: Optional[str]
pub_item_metadata
issue_item_metadata
"""
# fetch full metadata from API
issue_meta = self.ia_client.get_metadata(issue_item)
pub_meta = self.ia_client.get_metadata(pub_collection)
leaf_index = dict()
leaf_list = []
if not "page_numbers" in issue_meta:
# TODO: warn
return None
for entry in issue_meta["page_numbers"].get("pages", []):
page_num = entry["pageNumber"]
leaf_index[entry["leafNum"]] = page_num
if not (page_num and page_num.isdigit()):
continue
page_num = int(page_num)
leaf_list.append(entry["leafNum"])
if not leaf_list:
return None
page_texts: List[Dict[str, Any]] = []
issue_item_obj = self.ia_client.get_item(issue_item)
issue_item_djvu = issue_item_obj.get_file(issue_item + "_djvu.xml")
# override 'close()' method so we can still read out contents
djvu_bytes = io.BytesIO()
djvu_bytes.close = lambda: None # type: ignore
assert issue_item_djvu.download(fileobj=djvu_bytes)
djvu_bytes.seek(0)
djvu_xml = io.StringIO(djvu_bytes.read().decode("UTF-8"))
del djvu_bytes
leaf_dict = djvu_extract_leaf_texts(djvu_xml)
for leaf_num, raw_text in leaf_dict.items():
page_texts.append(
dict(
page_num=leaf_index.get(leaf_num),
leaf_num=leaf_num,
raw_text=raw_text,
)
)
return dict(
issue_item=issue_item,
pages=None,
page_texts=page_texts,
release_ident=None,
pub_item_metadata=truncate_pub_meta(pub_meta),
issue_item_metadata=truncate_issue_meta(issue_meta),
)
def full_issue_to_pages(self, full_issue: dict) -> List[IntermediateBundle]:
pages = []
for leaf in full_issue["page_texts"]:
bundle = IntermediateBundle(
doc_type=DocType.sim_page,
releases=[],
biblio_release_ident=None,
grobid_fulltext=None,
pdftotext_fulltext=None,
sim_fulltext=dict(
issue_item=full_issue["issue_item"],
pages=str(leaf["page_num"]),
page_texts=[leaf],
release_ident=None,
pub_item_metadata=full_issue["pub_item_metadata"],
issue_item_metadata=full_issue["issue_item_metadata"],
),
)
pages.append(bundle)
return pages
def run_issue_db(self, limit: int = None) -> None:
count = 0
self.issue_db.db.row_factory = sqlite3.Row
cur = self.issue_db.db.cursor()
for row in cur.execute(
"SELECT * FROM sim_issue LEFT JOIN sim_pub ON sim_issue.sim_pubid = sim_pub.sim_pubid WHERE sim_issue.release_count < 3"
):
# filter out "contents" and "index" items
# TODO: more filters; also redundant with IssueDB code?
if row["issue_item"].endswith("_contents") or row["issue_item"].endswith(
"_index"
):
continue
try:
full_issue = self.fetch_sim_issue(
row["issue_item"], row["pub_collection"]
)
except requests.exceptions.ConnectionError as e:
print(str(e), file=sys.stderr)
continue
except requests.exceptions.ReadTimeout as e:
print(str(e), file=sys.stderr)
continue
if not full_issue:
continue
pages = self.full_issue_to_pages(full_issue)
for bundle in pages:
print(bundle.json(exclude_none=True, sort_keys=True))
count += 1
if limit is not None and count >= limit:
break
if limit is not None and count >= limit:
break
def main() -> None:
"""
Run this command like:
python -m fatcat_scholar.sim_pipeline
"""
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter
)
subparsers = parser.add_subparsers()
parser.add_argument(
"--issue-db-file",
help="sqlite3 database file to open",
default="data/issue_db.sqlite",
type=str,
)
sub = subparsers.add_parser("run_issue_db", help="iterates through entire IssueDB")
sub.set_defaults(func="run_issue_db")
sub.add_argument("--limit", help="maximum number of pages to index", type=int)
args = parser.parse_args()
if not args.__dict__.get("func"):
parser.print_help(file=sys.stderr)
sys.exit(-1)
sp = SimPipeline(issue_db=IssueDB(args.issue_db_file))
if args.func == "run_issue_db":
sp.run_issue_db(limit=args.limit)
else:
func = getattr(sp, args.func)
func()
if __name__ == "__main__":
main()
|