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authorBryan Newbold <bnewbold@archive.org>2021-02-15 21:53:38 -0800
committerBryan Newbold <bnewbold@archive.org>2021-02-15 21:53:40 -0800
commitcd3e05ac8dc98d87d50c67c28968fa228ea2d016 (patch)
treef48df3ee35b9b4f1c5ced5517722c558ea54c67d /fatcat_scholar/transform.py
parent55bd186a21f5e3703e8f3ba3b0a14f1387ed0ccc (diff)
downloadfatcat-scholar-cd3e05ac8dc98d87d50c67c28968fa228ea2d016.tar.gz
fatcat-scholar-cd3e05ac8dc98d87d50c67c28968fa228ea2d016.zip
truncate indexed fulltext body at 1 MByte
There was a large ~4 MByte document getting indexed (work_lumgqw4vqbgvha2ejbsbaepedq) with several megabytes of text, and this was causing elasticsearch indexing timeouts.
Diffstat (limited to 'fatcat_scholar/transform.py')
-rw-r--r--fatcat_scholar/transform.py15
1 files changed, 13 insertions, 2 deletions
diff --git a/fatcat_scholar/transform.py b/fatcat_scholar/transform.py
index cbf0a89..9088b16 100644
--- a/fatcat_scholar/transform.py
+++ b/fatcat_scholar/transform.py
@@ -13,15 +13,19 @@ from fatcat_scholar.schema import *
from fatcat_scholar.config import settings, GIT_REVISION
from fatcat_scholar.grobid2json import teixml2json
+MAX_BODY_CHARS = 1024*1024
def es_fulltext_from_sim(sim: Dict[str, Any]) -> Optional[ScholarFulltext]:
if not sim["page_texts"]:
return None
first_page = sim["page_texts"][0]["page_num"]
issue_item = sim["issue_item"]
+ body="\n".join([p["raw_text"] for p in sim["page_texts"]])
+ if body and len(body) > MAX_BODY_CHARS:
+ body = body[MAX_BODY_CHARS:]
return ScholarFulltext(
lang_code=None, # TODO: pub/issue metadata? or langdetect?
- body="\n".join([p["raw_text"] for p in sim["page_texts"]]),
+ body=body,
# acknowledgement=None,
# annex=None,
release_ident=sim.get("release_ident"),
@@ -221,9 +225,12 @@ def es_fulltext_from_grobid(
) -> Optional[ScholarFulltext]:
if not tei_dict.get("body"):
return None
+ body = tei_dict.get("body")
+ if body and len(body) > MAX_BODY_CHARS:
+ body = body[MAX_BODY_CHARS:]
ret = ScholarFulltext(
lang_code=tei_dict.get("lang"),
- body=tei_dict.get("body"),
+ body=body,
acknowledgement=tei_dict.get("acknowledgement"),
annex=tei_dict.get("annex"),
)
@@ -234,6 +241,8 @@ def es_fulltext_from_pdftotext(
raw_text: str, pdf_meta: Optional[dict], re: ReleaseEntity, fe: FileEntity
) -> Optional[ScholarFulltext]:
+ if raw_text and len(raw_text) > MAX_BODY_CHARS:
+ raw_text = raw_text[MAX_BODY_CHARS:]
ret = ScholarFulltext(
lang_code=re.language, body=raw_text, acknowledgement=None, annex=None,
)
@@ -252,6 +261,8 @@ def es_fulltext_from_html(
body = tree.find(".//tei:body", ns)
if body:
raw_text = " ".join(body.itertext())
+ if raw_text and len(raw_text) > MAX_BODY_CHARS:
+ raw_text = raw_text[MAX_BODY_CHARS:]
else:
return None