From 12bfaa308a430951bf5d3d89090de0e69ea0f338 Mon Sep 17 00:00:00 2001 From: William Palin Date: Mon, 29 Apr 2024 13:38:25 -0400 Subject: [PATCH 01/16] feat(req): Add lxml_html_clean Beacuse of changes to LXML --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index 4841876..9418e97 100644 --- a/requirements.txt +++ b/requirements.txt @@ -8,6 +8,7 @@ python-magic idna==2.10 img2pdf lxml>=4.5.2 +lxml_html_clean numpy>=1.19.1 opencv-python>=4.2.0.32 pandas>=1.1.1 From a91bc9544d069a111a839614f480304df974ecdc Mon Sep 17 00:00:00 2001 From: William Palin Date: Mon, 29 Apr 2024 13:40:16 -0400 Subject: [PATCH 02/16] feat(pdf): Add strip margin flag for PDF extraction Add pdfplumber as main tool for extracting text from a PDF - and add a strip margin flag to enable cropping out text in the margins and removing skewed text --- doctor/forms.py | 1 + doctor/lib/utils.py | 152 ++++++++++++++++++++++++++++++++++++++------ doctor/tasks.py | 42 ++++++------ doctor/views.py | 12 ++-- 4 files changed, 160 insertions(+), 47 deletions(-) diff --git a/doctor/forms.py b/doctor/forms.py index a3d14e5..058f5b1 100644 --- a/doctor/forms.py +++ b/doctor/forms.py @@ -94,6 +94,7 @@ def clean(self): class DocumentForm(BaseFileForm): ocr_available = forms.BooleanField(label="ocr-available", required=False) + strip_margin = forms.BooleanField(label="strip-margin", required=False) mime = forms.BooleanField(label="mime", required=False) def clean(self): diff --git a/doctor/lib/utils.py b/doctor/lib/utils.py index 6304a56..36b8c04 100644 --- a/doctor/lib/utils.py +++ b/doctor/lib/utils.py @@ -6,6 +6,10 @@ import warnings from collections import namedtuple from decimal import Decimal +from typing import Any + +import pdfplumber +from pdfplumber.ctm import CTM from pathlib import Path import six @@ -288,30 +292,22 @@ def make_buffer(filename, dir=None): def pdf_has_images(path: str) -> bool: """Check raw PDF for embedded images. - We need to check if a PDF contains any images. If a PDF contains images it - likely has content that needs to be scanned. + We need to check if a PDF contains any large images. + If a PDF contains images them we need to scan it. + + But somteimes a pdf can contain lots of small images as lines and we dont + want to necessarily scan those so we should check the size of the images for + anything substantial. :param path: Location of PDF to process. :return: Does the PDF contain images? - :type: bool """ - with open(path, "rb") as pdf_file: - pdf_bytes = pdf_file.read() - return True if re.search(rb"/Image ?", pdf_bytes) else False - - -def ocr_needed(path: str, content: str) -> bool: - """Check if OCR is needed on a PDF - - Check if images are in PDF or content is empty. - :param path: The path to the PDF - :param content: The content extracted from the PDF. - :return: Whether OCR should be run on the document. - """ - if content.strip() == "" or pdf_has_images(path): - return True - return False + with pdfplumber.open(path) as pdf: + for page in pdf.pages: + for img in page.images: + if img.get("width") / page.width * img.get("height") / page.height > 0.1: + return True def make_page_with_text(page, data, h, w): @@ -354,3 +350,121 @@ def make_page_with_text(page, data, h, w): can.save() packet.seek(0) return packet + +def skew(obj): + """""" + if (matrix := obj.get("matrix")) is None: + return True + + # Remove Skew + my_char_ctm = CTM(*matrix) + if my_char_ctm.skew_x != 0: + return False + return True + + +def detect_words_per_page(document_text, page_count) -> float: + """Calculate word page frequency for the document + + Generally - less than ten words is a suspect document for the length + of an entire document + + :param document_text: the docuemnt text + :param page_count: number of pages + :return: average words per page + """ + word_matches = re.findall(r"(\b([A-Z]?[a-z]){1,20}\b)", document_text) + list_of_words = list(set([matches[0] for matches in word_matches])) + return len(list_of_words) / page_count + + +def page_has_text_annotations(path) -> bool: + """Page contains annotations + + :param path: the path to the document + :return: True if free text or widget annotations in PDF + """ + with pdfplumber.open(path) as pdf: + for page in pdf.pages: + if page.annots: + anno_types = [ + str(annot.get("data").get("Subtype")) for annot in page.annots + ] + if "/'FreeText'" in anno_types or "/'Widget'" in anno_types: + return True + return False + + +def get_page_text(page: pdfplumber.PDF.pages, strip_margin: bool): + """Extract page text + + Using pdf plumber extract out the text of the document that is not + skewed (ie a stamp of approval) and extract out text removing blue text + + :param page: pdf plumber page + :param strip_margin: a flag to crop out the margin of a document and skewed content + :return: text + """ + if strip_margin: + # Crop margins and remove skewed text + bbox = ((1 / 8.5 * page.width), (1 / 11 * page.height), (7.5 / 8.5 * page.width), (10 / 11 * page.height)) + doc_text = ( + page + .crop(bbox) + .filter(skew) + .extract_text(layout=True, keep_blank_chars=True) + ) + else: + doc_text = page.extract_text(layout=True, keep_blank_chars=False) + return doc_text + + +def extract_pdf_text(path: str, strip_margin: bool) -> str: + """Extract content from a PDF per page + + :param path: Path to the pdf file + :param strip_margin: If this is a recap document to strip margins + :return: text on page + """ + page_content = [] + with pdfplumber.open(path) as pdf: + for page in pdf.pages: + text = get_page_text(page, strip_margin=strip_margin).strip() + page_content.append(text) + return "\n".join(page_content) + + +def ocr_needed(path: str, content: str, page_count: int) -> [bool, Any]: + """Check if OCR is needed on a PDF + + Check if images are in PDF or content is empty. + This consists of a few different checks + Reasons something should be OCR'd + + A pdf contains images + A pdf contains freetext annotations or + A pdf contains widgets that could have text that alters a document + A pdf contains no text inside the margins + A pdf contains garbled text due to lack of font embedding + A pdf contains less than ten words on a page (normally around 90 to 200 + + When calculating the words on a page - we should look at words inside + the margin that contain lower case letters that are not skewed. + + :param path: The path to the PDF + :param content: The content extracted from the PDF + :param page_count: Length of PDF + :return: Whether OCR should be run on the document and the error reason + """ + + if not content.strip(): + return True, "No content" + elif "(cid:" in content: + return True, "PDF missing fonts" + elif pdf_has_images(path): + return True, "PDF contains images" + elif page_has_text_annotations(path): + return True, "Pdf contains text annotations" + elif detect_words_per_page(content, page_count) < 10: + return True, "PDF likely gibberish" + return False, "" diff --git a/doctor/tasks.py b/doctor/tasks.py index 6c51d38..64b0cb4 100644 --- a/doctor/tasks.py +++ b/doctor/tasks.py @@ -24,6 +24,7 @@ from doctor.lib.mojibake import fix_mojibake from doctor.lib.utils import ( DoctorUnicodeDecodeError, + extract_pdf_text, force_bytes, force_text, ocr_needed, @@ -189,44 +190,39 @@ def get_page_count(path, extension): def extract_from_pdf( path: str, + page_count: int, ocr_available: bool = False, + strip_margin: bool = False, ) -> Any: """Extract text from pdfs. - Start with pdftotext. If we we enabled OCR - and the the content is empty - or the PDF contains images, use tesseract. This pattern occurs because PDFs - can be images, text-based and a mix of the two. We check for images to - make sure we do OCR on mix-type PDFs. - If a text-based PDF we fix corrupt PDFs from ca9. + Extract the text from the document and if ocr available OCR the document + :param path: The path to the PDF :param ocr_available: Whether we should do OCR stuff + :param strip_margin: Whether to remove 1 inch margin from text extraction :return Tuple of the content itself and any errors we received """ - content, err, returncode = make_pdftotext_process(path) - extracted_by_ocr = False - if err is not None: - err = err.decode() + content = extract_pdf_text(path, strip_margin) - if not ocr_available: + extracted_by_ocr = False + is_ocr_needed, err = ocr_needed(path, content, page_count) + + if is_ocr_needed and ocr_available: + success, ocr_content = extract_by_ocr(path) + if success: + extracted_by_ocr = True + content = ocr_content + elif content == "" or not success: + content = "Unable to extract document content." + elif not ocr_available: if "e" not in content: # It's a corrupt PDF from ca9. Fix it. content = fix_mojibake(content) - else: - if ocr_needed(path, content): - success, ocr_content = extract_by_ocr(path) - if success: - # Check content length and take the longer of the two - if len(ocr_content) > len(content): - content = ocr_content - # opinion.extracted_by_ocr = True - extracted_by_ocr = True - elif content == "" or not success: - content = "Unable to extract document content." - - return content, err, returncode, extracted_by_ocr + return content, extracted_by_ocr, err def extract_by_ocr(path: str) -> (bool, str): """Extract the contents of a PDF using OCR.""" diff --git a/doctor/views.py b/doctor/views.py index cc2cbfa..8a1c090 100644 --- a/doctor/views.py +++ b/doctor/views.py @@ -85,13 +85,17 @@ def extract_doc_content(request) -> Union[JsonResponse, HttpResponse]: form = DocumentForm(request.GET, request.FILES) if not form.is_valid(): return HttpResponse("Failed validation", status=BAD_REQUEST) - ocr_available = form.cleaned_data["ocr_available"] + ocr_available = form.cleaned_data.get("ocr_available", False) + strip_margin = form.cleaned_data.get("strip_margin", False) extension = form.cleaned_data["extension"] fp = form.cleaned_data["fp"] extracted_by_ocr = False + + # Get page count if you can + page_count = get_page_count(fp, extension) if extension == "pdf": - content, err, returncode, extracted_by_ocr = extract_from_pdf( - fp, ocr_available + content, extracted_by_ocr, err = extract_from_pdf( + fp, page_count, ocr_available, strip_margin ) elif extension == "doc": content, err, returncode = extract_from_doc(fp) @@ -107,8 +111,6 @@ def extract_doc_content(request) -> Union[JsonResponse, HttpResponse]: content = "" err = "Unable to extract content due to unknown extension" - # Get page count if you can - page_count = get_page_count(fp, extension) cleanup_form(form) return JsonResponse( { From 0260927608ff07e0e3ecdae91ab8acf5f3b826e9 Mon Sep 17 00:00:00 2001 From: William Palin Date: Mon, 29 Apr 2024 13:41:04 -0400 Subject: [PATCH 03/16] tests(extraction): Add and fix tests Added and fixed tests Modified one test pdf to better reflect the test --- .../gov.uscourts.cand.16711.199.0.pdf | Bin 0 -> 436077 bytes .../gov.uscourts.cand.16711.581.0.pdf | Bin 0 -> 69944 bytes .../gov.uscourts.cand.203343.17.0.pdf | Bin 0 -> 59209 bytes .../gov.uscourts.njd.387907.32.0.pdf | Bin 0 -> 75051 bytes .../gov.uscourts.nysd.413741.11.0.pdf | Bin 0 -> 148190 bytes .../gov.uscourts.nysd.413994.212.0.pdf | Bin 0 -> 71214 bytes doctor/test_assets/vector-pdf.pdf | Bin 1266046 -> 322190 bytes doctor/tests.py | 151 ++++++++++++++++-- 8 files changed, 135 insertions(+), 16 deletions(-) create mode 100644 doctor/test_assets/recap_issues/gov.uscourts.cand.16711.199.0.pdf create mode 100644 doctor/test_assets/recap_issues/gov.uscourts.cand.16711.581.0.pdf create mode 100644 doctor/test_assets/recap_issues/gov.uscourts.cand.203343.17.0.pdf create mode 100644 doctor/test_assets/recap_issues/gov.uscourts.njd.387907.32.0.pdf create 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