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import sys
import json
import datetime
from io import BytesIO
from dataclasses import dataclass
from typing import Optional, Dict, Any
import poppler
from PIL import Image
from .workers import SandcrawlerWorker, SandcrawlerFetchWorker
from .misc import gen_file_metadata
# This is a hack to work around timeouts when processing certain PDFs with
# poppler. For some reason, the usual Kafka timeout catcher isn't working on
# these, maybe due to threading.
BAD_PDF_SHA1HEX = [
"011478a1e63a2a31eae1a93832a74cc95f220760",
"018dfe9824de6d2ac068ce0f7dc9961bffa1b558",
"057c7a9dfb611bfd52f7de6c39b2d5757c5e4e53",
"06061af0707298c12932516d1bb7c2b6dc443824",
"0641822e68c5a07538b967489fd19a1d5dc371a5",
"09cba9b00494d12759c50cb914f1fb7c9746f5d1",
"09db7c9f2efb496c974427a61e84292ae27fc702",
"0a1c13cb8783bbbf248b2345b9890e2410aa3f0a",
"0d1c1567ea70e7b922ba88ccb868ffc7ca18e75c",
"10c6577a658bf6203557e2998b25ea9788f8adfe",
"15a720921ce30da983fcd1bfa7fe9aeeda503e41",
"1659881a31edc2d0e170f6bb26d32e74cc4ca387",
"17e679b0ec9444fff2ea4d02caec05dd2de80ec3",
"182749ad1db1d5e999d07f010bdcfc2978dadc88",
"1cb166f0c0b5ffe673e6bbf6a29d77278711f253",
"1d04e46b6848e6479dd90fe26bb11627044fb664",
"1d967c95546d31edaaf0c3ef9ffcc11113a9e11a",
"20589d9dd0a22c8c938ad97b7f4f12648aa119fa",
"25ab9e6169f041be05844a9b4edd6574918af769",
"281de904c4642a9be4f17b9774fc0a2bdc8a90e3",
"2bd5322975653536550a039eb055174b2bf241b3",
"2fc64da736175810918fd32c94c5068b0d660bcc",
"32318fba9b05b2756b7362bcaa4722c92ed8d449",
"336833c6fc968cd0938250dfc93c032a30111cfc",
"362ad00bc24d650c8f11851f9e554fc560b73e7a",
"373f84dfab4ed47047826e604e2918a9cd6a95b2",
"3ac0b6e17e30d141871a0a5b127536919fe5aa19",
"3c8a6a708da0dc1802f5f3e5267a49b3c25e1ffe",
"3e5f9fb94e7314447a22f3d009419a922136177f",
"3fad493c940137ce703f2f570ebb504e360c6df3",
"436c9183724f051b22c96285aa8ff1d2ba709574",
"445968ef735b228c08c3ff4238d99fc9f4824619",
"447fa6b5a90742a86429a932f6608d8e141688c0",
"4785181cec8944eee00ddb631a5dfc771b89bab7",
"47db2db2cc976429568841a0496c0ab4ed7b5977",
"4c81129904f7976a50825595a3497ea7b52579ef",
"4edc1402712fa6827c4501fed8042e9f4447829c",
"50b3c5a3122272aca69855ef06b85d0b43a76eb1",
"52fc9b3c5199ef395d410c7cee5961dc812e4d29",
"58d9ae7dcb0a7dbbdfc58ad266030b037e9cd0ff",
"59cfc843ebdb1c1e5db1efc76a40f46cb3bb06f0",
"5ab98405b676ee81a6ca74fba51a9e4a6cff7311",
"5e04779cbbae5ce88bb786064f756885dd6895fe",
"5e6a3adde9f08c276c4efd72bfacb256f2ec35d9",
"623ff84b616383d0a3e0dd8dbce12f0b5fe9a6ac",
"646c4a654270606256397684204ff0f3d17be2e7",
"64d821d728f9a3dc944b4c03be00feea0b57e314",
"6909f0b62d8b7835de3dec7777aad7f8ef507ee3",
"74e617dc95555e8ca3aadd19d0c85b71cd77d1d9",
"75c2662a96ccc48891228df7c85eb7d4da9dd621",
"771f1ca0007a6fbed5b4a434c73f524f715d33c1",
"776859635e9dc01d97b0582f49c814ffbcb019fb",
"781dafda896a9f5c30f3d0a011f79a3b79b574c4",
"788672c7c2bcdecf6e2f6a2177c01e60f04d9cfb",
"79d6cba3c6e577a0f3a3a9fe575680d38454938d",
"7daf61526ec825151f384cc1db510ca5237d5d80",
"7e9d846f3bf9ce15cdb991b78cc870ab8a2bed76",
"859d7ec532a0bf3b52b17c7f2d8ecc58410c0aad",
"88edcbab1cac2d70af5870422974afc253f4f0c6",
"89860fc475fcb2a2d86c4544df52ec8fd5e6533f",
"8dcaf4ef132900dd378f7be526c884b17452713b",
"8e4f03c29ae1fe7227140ab4b625f375f6c00d31",
"949dfb7d833da9576b2ccb9eb1ab5457469c53d3",
"961ec451172f373f919c593737466300e42062cb",
"976989fa6e447578d9ce16ec5b526f0e09d6df50",
"98b02eb70066c182c705ef4d14d8b723ad7f1fab",
"993ca31f6974f8387bb18dd7d38987d290da8781",
"9dbd05af3442e6f42d67868054751b76973f4171",
"a2298c137b9c8c8975bad62eea9224edb95e6952",
"a2671738755ab8b24775e95375dc72f1ca4e5fd6",
"a26f299fb97c646effeebd4c5e2968786bd0f781",
"a48f9b7ad627909f76d780aa4208530304ece42c",
"a69665d0b5d3b95f54f68406eee3ed50c67efb45",
"a69665d0b5d3b95f54f68406eee3ed50c67efb45",
"a8357c31837404f9ebd798999d546c9398ab3648",
"a9162b9aef5e5da0897275fede1a6cff8cc93dfc",
"ad038725bf6855a79f3c768ebe93c7103d14522f",
"b2b66b9c7f817a20144456f99c0be805602e8597",
"b2d719120306b90eb8dd3580b699a61ec70556f4",
"b4b8e18e27f102e59b2be2d58c7b54d0a0eb457a",
"b5be7f409a3a2601208c5ce08cf52b9ac1094aae",
"b5bf8b7467fb095c90adf3b49aa1687291e4469c",
"b8b427e5b3d650ba9e03197f9c3917e25b878930",
"bad48b89b639b5b7df2c6a2d5288181fcb8b0e35",
"be0cda7642e9247b3ee41cd2017fa709aab4f344",
"c1b583fbd052572f08158d39ffe4d7510dadbebb",
"c7220d1bf1e71fb755d9f26bbdd4c539dc162960",
"c7687fa6f637c7d32a25be0e772867d87536d35c",
"c92b9ae9eefa07504950b405625aef54b48f0e1a",
"ccb1debcfae006a3fc984e9e91309b9706a5c375",
"cd8a7c3b8d850ebedc1ca791ccb37b9a2689f9c3",
"d17b1e254cce82df5c6eb4fd492cef91e7e11558",
"d188762a7e3ab5d4ee8a897204316513e4e636ec",
"d6b0f405bf13c23d0e90c54eea527442786d1cd3",
"da2211ee2dbc6dda36571976d810e2366a3d2504",
"e01bb7256d77aea258313bb410dfcfc10512f420",
"e2bf5d0a5885359381fe8ef2cd9290171d494e9b",
"e2c3b8a2cf33d5e8972bc9ddb78373766a75e412",
"e9d7716b4f94bbc3d94459b5fe9bb8b15cb2e433",
"eac7df5f799983d5a7cc55d10b4d426dc557febf",
"eb1b39fd7a874896688855a22efddef10272427c",
"eb5fffaa590a52bcc3705b888c6ff9c4dc4c45b2",
"ee9530a2c5a3d1e3813ccb51a55cc8b0d9b5dfc7",
"f0ea221d8587cede25592266486e119d277f7096",
"f68f9a9202a75d2aee35252e104d796f9515001e",
"f9314d3bf2eac78a7d78d18adcccdb35542054ef",
]
@dataclass
class PdfExtractResult:
sha1hex: str
status: str
error_msg: Optional[str] = None
file_meta: Optional[Dict[str,Any]] = None
text: Optional[str] = None
page0_thumbnail: Optional[bytes] = None
has_page0_thumbnail: bool = False
meta_xml: Optional[str] = None
pdf_info: Optional[Dict[str,Any]] = None
pdf_extra: Optional[Dict[str,Any]] = None
source: Optional[Dict[str,Any]] = None
def to_pdftext_dict(self) -> dict:
"""
Outputs a JSON string as would be published to Kafka text/info topic.
"""
return {
'key': self.sha1hex,
'sha1hex': self.sha1hex,
'status': self.status,
'file_meta': self.file_meta,
'error_msg': self.error_msg,
'text': self.text,
'has_page0_thumbnail': self.has_page0_thumbnail,
'meta_xml': self.meta_xml,
'pdf_info': self.pdf_info,
'pdf_extra': self.pdf_extra,
'source': self.source,
}
@classmethod
def from_pdftext_dict(cls, record):
"""
Outputs a JSON string as would be published to Kafka text/info topic.
"""
if record['status'] != 'success':
return PdfExtractResult(
sha1hex=record.get('sha1hex') or record['key'],
status=record['status'],
error_msg=record.get('error_msg'),
)
else:
return PdfExtractResult(
sha1hex=record['sha1hex'],
status=record['status'],
file_meta=record.get('file_meta'),
text=record.get('text'),
has_page0_thumbnail=bool(record.get('has_page0_thumbnail', False)),
meta_xml=record.get('meta_xml'),
pdf_info=record.get('pdf_info'),
pdf_extra=record.get('pdf_extra'),
)
@classmethod
def from_pdf_meta_dict(cls, record):
"""
Parses what would be returned from postgrest
"""
if record['status'] != 'success':
return PdfExtractResult(
sha1hex=record['sha1hex'],
status=record['status'],
error_msg=(record.get('metadata') or {}).get('error_msg'),
)
else:
pdf_extra = dict()
for k in ('page_count', 'page0_height', 'page0_width', 'permanent_id', 'pdf_version'):
if record.get(k):
pdf_extra[k] = record[k]
return PdfExtractResult(
sha1hex=record['sha1hex'],
status=record['status'],
has_page0_thumbnail=bool(record.get('has_page0_thumbnail', False)),
pdf_info=record.get('metadata'),
pdf_extra=pdf_extra,
)
def to_sql_tuple(self) -> tuple:
# pdf_meta (sha1hex, updated, status, page0_thumbnail, page_count,
# word_count, page0_height, page0_width, permanent_id, pdf_created,
# pdf_version, metadata)
word_count: Optional[int] = None
if self.text:
word_count = len(self.text.split())
metadata: Optional[Dict] = None
pdf_extra = self.pdf_extra or dict()
pdf_created = None
# TODO: form, encrypted
if self.pdf_info:
metadata = dict()
for k in ('Title', 'Subject', 'Author', 'Creator', 'Producer', 'doi'):
if k in self.pdf_info:
metadata[k.lower()] = self.pdf_info[k]
if 'CreationDate' in self.pdf_info:
pdf_created = self.pdf_info['CreationDate']
metadata_json: Optional[str] = None
if metadata:
metadata_json = json.dumps(metadata, sort_keys=True)
return (
self.sha1hex,
datetime.datetime.now(), # updated
self.status,
self.has_page0_thumbnail,
pdf_extra.get('page_count'),
word_count,
pdf_extra.get('page0_height'),
pdf_extra.get('page0_width'),
pdf_extra.get('permanent_id'),
pdf_created,
pdf_extra.get('pdf_version'),
metadata_json,
)
def process_pdf(blob: bytes, thumb_size=(180,300), thumb_type="JPEG") -> PdfExtractResult:
"""
A known issue is that output text is in "physical layout" mode, which means
columns will be side-by-side. We would prefer a single stream of tokens!
Tried using page.text(layout_mode=poppler.TextLayout.raw_order_layout)
instead of the default mode (poppler.TextLayout.physical_layout), but that
didn't seem to work at all (returned empty strings).
"""
file_meta = gen_file_metadata(blob)
sha1hex = file_meta['sha1hex']
if file_meta['mimetype'] != 'application/pdf':
return PdfExtractResult(
sha1hex=sha1hex,
status='not-pdf',
error_msg=f"mimetype is '{file_meta['mimetype']}'",
file_meta=file_meta,
)
if sha1hex in BAD_PDF_SHA1HEX:
return PdfExtractResult(
sha1hex=sha1hex,
status='bad-pdf',
error_msg=f"PDF known to cause processing issues",
file_meta=file_meta,
)
print(f"\tpoppler processing: {sha1hex}", file=sys.stderr)
try:
pdf = poppler.load_from_data(blob)
if pdf is None:
return PdfExtractResult(
sha1hex=sha1hex,
status='empty-pdf',
file_meta=file_meta,
has_page0_thumbnail=False,
)
page0 = pdf.create_page(0)
if page0 is None:
return PdfExtractResult(
sha1hex=sha1hex,
status='empty-page0',
file_meta=file_meta,
)
# this call sometimes fails an returns an AttributeError
page0rect = page0.page_rect()
except (AttributeError, poppler.document.LockedDocumentError) as e:
# may need to expand the set of exceptions caught here over time, but
# starting with a narrow set
return PdfExtractResult(
sha1hex=sha1hex,
status='parse-error',
error_msg=str(e),
file_meta=file_meta,
)
assert page0 is not None
page0_thumbnail: Optional[bytes] = None
renderer = poppler.PageRenderer()
try:
full_img = renderer.render_page(page0)
img = Image.frombuffer("RGBA", (full_img.width, full_img.height), full_img.data, 'raw', "BGRA", 0, 1)
img.thumbnail(thumb_size, Image.BICUBIC)
buf = BytesIO()
img.save(buf, thumb_type)
page0_thumbnail = buf.getvalue()
# assuming that very small images mean something went wrong
if page0_thumbnail is None or len(page0_thumbnail) < 50:
page0_thumbnail = None
except Exception as e:
print(str(e), file=sys.stderr)
page0_thumbnail = None
try:
full_text = page0.text()
for n in range(1, pdf.pages):
pageN = pdf.create_page(n)
full_text += pageN.text()
except AttributeError as e:
return PdfExtractResult(
sha1hex=sha1hex,
status='parse-error',
error_msg=str(e),
file_meta=file_meta,
)
# Kafka message size limit; cap at about 1 MByte
if len(full_text)> 1000000:
return PdfExtractResult(
sha1hex=sha1hex,
status='text-too-large',
error_msg="full_text chars: {}".format(len(full_text)),
file_meta=file_meta,
)
if len(pdf.metadata)> 1000000:
return PdfExtractResult(
sha1hex=sha1hex,
status='text-too-large',
error_msg="meta_xml chars: {}".format(len(full_text)),
file_meta=file_meta,
)
try:
pdf_info = pdf.infos()
except UnicodeDecodeError:
return PdfExtractResult(
sha1hex=sha1hex,
status='bad-unicode',
error_msg="in infos()",
file_meta=file_meta,
)
# TODO: is this actually needed? or does json marshalling work automatically?
for k in pdf_info.keys():
if isinstance(pdf_info[k], datetime.datetime):
pdf_info[k] = datetime.datetime.isoformat(pdf_info[k])
permanent_id: Optional[str] = None
update_id: Optional[str] = None
try:
permanent_id = pdf.pdf_id.permanent_id
update_id = pdf.pdf_id.update_id
except TypeError:
pass
return PdfExtractResult(
sha1hex=sha1hex,
file_meta=file_meta,
status='success',
error_msg=None,
text=full_text or None,
has_page0_thumbnail=page0_thumbnail is not None,
page0_thumbnail=page0_thumbnail,
meta_xml=pdf.metadata or None,
pdf_info=pdf_info,
pdf_extra=dict(
page0_height=page0rect.height,
page0_width=page0rect.width,
page_count=pdf.pages,
permanent_id=permanent_id,
update_id=update_id,
pdf_version=f"{pdf.pdf_version[0]}.{pdf.pdf_version[1]}",
),
)
class PdfExtractWorker(SandcrawlerFetchWorker):
def __init__(self, wayback_client=None, sink=None, **kwargs):
super().__init__(wayback_client=wayback_client)
self.wayback_client = wayback_client
self.sink = sink
self.thumbnail_sink = kwargs.get('thumbnail_sink')
def timeout_response(self, task) -> Dict:
default_key = task['sha1hex']
return dict(
status="error-timeout",
error_msg="internal pdf-extract worker timeout",
source=task,
sha1hex=default_key,
)
def process(self, record, key: Optional[str] = None):
default_key = record['sha1hex']
fetch_result = self.fetch_blob(record)
if fetch_result['status'] != 'success':
return fetch_result
blob = fetch_result['blob']
result = process_pdf(blob)
result.source = record
if self.thumbnail_sink and result.page0_thumbnail is not None:
self.thumbnail_sink.push_record(result.page0_thumbnail, key=result.sha1hex)
return result.to_pdftext_dict()
class PdfExtractBlobWorker(SandcrawlerWorker):
"""
This is sort of like PdfExtractWorker, except it receives blobs directly,
instead of fetching blobs from some remote store.
"""
def __init__(self, sink=None, **kwargs):
super().__init__()
self.sink = sink
self.thumbnail_sink = kwargs.get('thumbnail_sink')
def process(self, blob, key: Optional[str] = None):
if not blob:
return None
assert isinstance(blob, bytes)
result = process_pdf(blob)
if self.thumbnail_sink and result.page0_thumbnail is not None:
self.thumbnail_sink.push_record(result.page0_thumbnail, key=result.sha1hex)
return result.to_pdftext_dict()
|