PDF-Editor / app /pdf_engine.py
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from __future__ import annotations
class HTTPException(Exception):
"""Small FastAPI-compatible exception used by the reusable engine."""
def __init__(self, status_code: int, detail: str):
self.status_code = status_code
self.detail = detail
super().__init__(detail)
import json
import math
import mimetypes
import os
import re
import shutil
import subprocess
import tempfile
import uuid
from io import BytesIO
from pathlib import Path
from threading import Lock
from functools import lru_cache
from typing import Any, Literal
import pymupdf as fitz
from app.font_matching import build_font_catalog, compatible_document_fonts, rank_font_candidates
from app.google_fonts import catalog as google_font_catalog, ensure_font as ensure_google_font
from pydantic import BaseModel, Field
BASE_DIR = Path(__file__).resolve().parent
DATA_DIR = Path(os.getenv('DATA_DIR', str(BASE_DIR.parent / 'data')))
DATA_DIR.mkdir(parents=True, exist_ok=True)
MAX_UPLOAD_BYTES = int(os.getenv('MAX_UPLOAD_MB', '25')) * 1024 * 1024
MAX_EDITOR_IMAGE_BYTES = 12 * 1024 * 1024
MAX_EDITOR_IMAGE_PIXELS = 40000000
MAX_PAGES = int(os.getenv('MAX_PAGES', '20'))
os.environ.setdefault('PADDLE_PDX_CACHE_HOME', str(DATA_DIR / 'model-cache'))
_ocr_instance: Any | None = None
_ocr_lock = Lock()
_layout_instance: Any | None = None
_layout_lock = Lock()
_fontid_runtime: tuple[Any, Any, dict[str, dict[str, str]], Any] | None = None
_fontid_lock = Lock()
_document_storage_lock = Lock()
FONTID_MODEL_ID = 'issai/FontID'
FONTID_REVISION = 'bd6f54235e84e3b06a829158fa6fad829a74233d'
class EditObject(BaseModel):
id: str
page: int = Field(ge=0)
type: Literal['text', 'image'] = 'text'
text: str = ''
x: float = Field(ge=0)
y: float = Field(ge=0)
width: float = Field(gt=0)
height: float = Field(gt=0)
fontSize: float = Field(gt=0, le=144)
rotation: float = Field(default=0, ge=-360, le=360)
font: str = ''
fontFamily: str = 'original'
assetId: str | None = None
assetExt: str | None = None
color: str = Field(pattern='^#[0-9a-fA-F]{6}$')
bold: bool = False
italic: bool = False
deleted: bool = False
isNew: bool = False
isBackground: bool = False
class TableGroupEdit(BaseModel):
id: str
page: int = Field(ge=0)
x: float = Field(ge=0)
y: float = Field(ge=0)
width: float = Field(gt=0)
height: float = Field(gt=0)
class ExportRequest(BaseModel):
objects: list[EditObject]
tableGroups: list[TableGroupEdit] = Field(default_factory=list)
def _is_document_directory(path: Path) -> bool:
return path.is_dir() and bool(re.fullmatch('[0-9a-f]{32}', path.name))
def purge_document_storage(keep_id: str | None=None) -> int:
"""Delete uploaded-document folders, preserving only the active document.
Model/font caches are deliberately stored outside these 32-hex document folders,
so this never removes reusable application caches.
"""
removed = 0
for path in DATA_DIR.iterdir():
if not _is_document_directory(path) or (keep_id and path.name == keep_id):
continue
shutil.rmtree(path, ignore_errors=True)
removed += 1
return removed
def purge_all_document_storage() -> int:
with _document_storage_lock:
return purge_document_storage()
purge_all_document_storage()
def document_dir(document_id: str) -> Path:
if not re.fullmatch('[0-9a-f]{32}', document_id):
raise HTTPException(status_code=404, detail='Document not found')
path = DATA_DIR / document_id
if not path.is_dir():
raise HTTPException(status_code=404, detail='Document not found')
return path
def normalized_font_name(value: str) -> str:
name = value.split('+')[-1].lower()
return re.sub('[^a-z0-9]', '', name)
def normalized_rotation(value: Any) -> float:
"""Normalize an editor text rotation to the range [0, 360)."""
try:
angle = float(value) % 360.0
except (TypeError, ValueError):
return 0.0
if abs(angle) < 0.0005 or abs(angle - 360.0) < 0.0005:
return 0.0
return round(angle, 3)
def pdf_text_rotation(direction: Any) -> float:
"""Convert PyMuPDF's line direction vector to a clockwise page angle."""
try:
dx, dy = (float(direction[0]), float(direction[1]))
if abs(dx) + abs(dy) < 1e-06:
return 0.0
return normalized_rotation(math.degrees(math.atan2(-dy, dx)))
except (TypeError, ValueError, IndexError):
return 0.0
STANDARD_PDF_FONT_ALIASES = {'courier': 'cour', 'courierbold': 'cobo', 'courieroblique': 'coit', 'courierboldoblique': 'cobi', 'helvetica': 'helv', 'helveticabold': 'hebo', 'helveticaoblique': 'heit', 'helveticaboldoblique': 'hebi', 'timesroman': 'tiro', 'timesbold': 'tibo', 'timesitalic': 'tiit', 'timesbolditalic': 'tibi', 'symbol': 'symb', 'zapfdingbats': 'zapfdingbats'}
def standard_pdf_font_alias(font_name: str, bold: bool=False, italic: bool=False) -> str | None:
key = normalized_font_name(font_name)
if key in {'helv', 'hebo', 'heit', 'hebi', 'cour', 'cobo', 'coit', 'cobi', 'tiro', 'tibo', 'tiit', 'tibi', 'symb', 'zapfdingbats'}:
return key
if key in {'times', 'timesnewroman'}:
key = 'timesroman'
alias = STANDARD_PDF_FONT_ALIASES.get(key)
if alias:
return alias
base = key.replace('bold', '').replace('italic', '').replace('oblique', '')
base_alias = STANDARD_PDF_FONT_ALIASES.get(base)
if base_alias and base_alias in {'helv', 'cour', 'tiro'}:
if base_alias == 'helv':
return 'hebi' if bold and italic else 'hebo' if bold else 'heit' if italic else 'helv'
if base_alias == 'cour':
return 'cobi' if bold and italic else 'cobo' if bold else 'coit' if italic else 'cour'
if base_alias == 'tiro':
return 'tibi' if bold and italic else 'tibo' if bold else 'tiit' if italic else 'tiro'
return None
def font_xref_lookup(page: fitz.Page) -> dict[str, dict[str, Any]]:
lookup: dict[str, dict[str, Any]] = {}
try:
for font in page.get_fonts(full=True):
if len(font) < 5:
continue
record = {'xref': int(font[0]), 'type': str(font[2]), 'baseName': str(font[3]), 'resource': str(font[4]), 'encoding': str(font[5]) if len(font) > 5 else ''}
for raw_name in (font[3], font[4]):
key = normalized_font_name(str(raw_name))
if key:
lookup[key] = record
except Exception:
return lookup
return lookup
def extract_embedded_fonts(pdf: fitz.Document, page: fitz.Page, folder: Path) -> dict[str, tuple[str, str]]:
assets: dict[str, tuple[str, str]] = {}
font_folder = folder / 'fonts'
try:
page_fonts = page.get_fonts(full=True)
except Exception:
return assets
for font in page_fonts:
xref = int(font[0])
if xref <= 0:
continue
try:
base_name, extension, _font_type, data = pdf.extract_font(xref)
except Exception:
continue
extension = str(extension).lower().lstrip('.')
if extension not in {'ttf', 'otf', 'ttc', 'pfb', 'pfa'} or not data:
continue
asset_id = uuid.uuid4().hex
font_folder.mkdir(exist_ok=True)
(font_folder / f'{asset_id}.{extension}').write_bytes(data)
keys = {normalized_font_name(str(base_name)), normalized_font_name(str(font[3]))}
if len(font) > 4:
keys.add(normalized_font_name(str(font[4])))
for key in keys:
if key:
assets[key] = (asset_id, extension)
return assets
def find_embedded_font(font_name: str, assets: dict[str, tuple[str, str]]) -> tuple[str, str] | None:
key = normalized_font_name(font_name)
if not key:
return None
if key in assets:
return assets[key]
matches = [asset for candidate, asset in assets.items() if len(candidate) >= 5 and (candidate in key or key in candidate)]
return matches[0] if len(set(matches)) == 1 else None
def span_glyph_advances(span: dict[str, Any], text: str, direction: Any | None=None) -> list[float]:
"""Return source-face glyph advances in PDF points for UI line reflow."""
chars = span.get('chars') or []
if len(chars) != len(text) or not chars:
return []
direction = direction or span.get('dir') or (1.0, 0.0)
try:
dx, dy = (float(direction[0]), float(direction[1]))
projected = [float(char['origin'][0]) * dx + float(char['origin'][1]) * dy for char in chars]
advances: list[float] = []
for index, char in enumerate(chars):
if index + 1 < len(chars):
advance = abs(projected[index + 1] - projected[index])
else:
bbox = [float(value) for value in char.get('bbox', ())]
advance = max(0.0, bbox[2] - bbox[0]) if len(bbox) == 4 else 0.0
advances.append(round(advance, 4))
return advances
except (KeyError, TypeError, ValueError, IndexError):
return []
def extract_native_objects(pdf: fitz.Document, folder: Path) -> list[dict[str, Any]]:
objects: list[dict[str, Any]] = []
for page_index, page in enumerate(pdf):
blocks = page.get_text('rawdict').get('blocks', [])
try:
image_occurrences = page.get_image_info(xrefs=True)
except Exception:
image_occurrences = []
used_image_occurrences: set[int] = set()
font_assets = extract_embedded_fonts(pdf, page, folder)
font_xrefs = font_xref_lookup(page)
image_folder = folder / 'images'
for block_index, block in enumerate(blocks):
block_id = uuid.uuid4().hex
if block.get('type') == 1 and block.get('bbox') and block.get('image'):
x0, y0, x1, y1 = [float(value) for value in block['bbox']]
if x1 <= x0 or y1 <= y0:
continue
asset_id = uuid.uuid4().hex
extension = re.sub('[^a-z0-9]', '', str(block.get('ext', 'png')).lower()) or 'png'
image_folder.mkdir(exist_ok=True)
(image_folder / f'{asset_id}.{extension}').write_bytes(block['image'])
block_bbox = [x0, y0, x1, y1]
matching_images = sorted(((sum((abs(float(actual) - expected) for actual, expected in zip(info.get('bbox', ()), block_bbox))), index, info) for index, info in enumerate(image_occurrences) if index not in used_image_occurrences and len(info.get('bbox', ())) == 4), key=lambda item: item[0])
image_xref = int(matching_images[0][2].get('xref', 0) or 0) if matching_images and matching_images[0][0] <= 2.0 else 0
if image_xref:
used_image_occurrences.add(matching_images[0][1])
page_area = max(1.0, float(page.rect.width) * float(page.rect.height))
image_area = (x1 - x0) * (y1 - y0)
is_background = image_area / page_area >= 0.62 and (x1 - x0) / max(1.0, page.rect.width) >= 0.86 and ((y1 - y0) / max(1.0, page.rect.height) >= 0.76)
objects.append({'id': asset_id, 'page': page_index, 'type': 'image', 'text': '', 'originalText': '', 'x': x0, 'y': y0, 'width': x1 - x0, 'height': y1 - y0, 'originalX': x0, 'originalY': y0, 'originalWidth': x1 - x0, 'originalHeight': y1 - y0, 'fontSize': 1.0, 'font': '', 'fontFamily': 'original', 'fontFamilyHint': 'sans', 'fontSizeSource': 'not applicable', 'color': '#000000', 'bold': False, 'italic': False, 'deleted': False, 'source': 'native', 'confidence': 1.0, 'regionId': None, 'blockId': block_id, 'assetId': asset_id, 'assetExt': extension, 'imageXref': image_xref, 'isBackground': is_background})
continue
lines = block.get('lines', [])
line_tops = [float(line.get('bbox', [0, 0, 0, 0])[1]) for line in lines]
for line_index, line in enumerate(lines):
line_id = uuid.uuid4().hex
line_bbox = line.get('bbox', [0, 0, 0, 0])
line_top = float(line_bbox[1])
line_height = max(1.0, float(line_bbox[3]) - line_top)
next_top = line_tops[line_index + 1] if line_index + 1 < len(line_tops) else line_top + line_height * 1.2
line_step = max(line_height, next_top - line_top)
line_rotation = pdf_text_rotation(line.get('dir'))
for span in line.get('spans', []):
chars = span.get('chars') or []
text = ''.join((str(char.get('c', '')) for char in chars)) if chars else str(span.get('text', ''))
bbox = span.get('bbox')
if not text.strip() or not bbox:
continue
x0, y0, x1, y1 = [float(value) for value in bbox]
if x1 <= x0 or y1 <= y0:
continue
flags = int(span.get('flags', 0))
color = int(span.get('color', 0))
font_name = str(span.get('font', ''))
style_name = font_name.lower()
font_size = float(span.get('size', 11))
font_color = f'#{color >> 16 & 255:02x}{color >> 8 & 255:02x}{color & 255:02x}'
font_bold = bool(flags & 16) or any((marker in style_name for marker in ('bold', 'heavy', 'black')))
font_italic = bool(flags & 2) or any((marker in style_name for marker in ('italic', 'oblique')))
font_family_hint = 'mono' if flags & 8 else 'serif' if flags & 4 else 'sans'
embedded_font = find_embedded_font(font_name, font_assets)
font_record = font_xrefs.get(normalized_font_name(font_name), {})
exact_candidate = {'family': font_name, 'value': 'original', 'confidence': 1.0, 'visualScore': 1.0, 'bold': font_bold, 'italic': font_italic, 'source': 'exact', 'assetId': embedded_font[0] if embedded_font else None}
objects.append({'id': uuid.uuid4().hex, 'page': page_index, 'type': 'text', 'text': text, 'originalText': text, 'x': x0, 'y': y0, 'width': x1 - x0, 'height': y1 - y0, 'originalX': x0, 'originalY': y0, 'originalWidth': x1 - x0, 'originalHeight': y1 - y0, 'fontSize': font_size, 'rotation': line_rotation, 'originalRotation': line_rotation, 'originalFontSize': font_size, 'glyphAdvances': span_glyph_advances(span, text, line.get('dir')), 'font': font_name, 'fontFamily': 'original', 'originalFontFamily': 'original', 'fontFamilyHint': font_family_hint, 'fontSizeSource': 'PDF font metadata · exact source face', 'fontCandidates': [exact_candidate], 'fontGuess': font_name, 'fontGuessConfidence': 1.0, 'fontMatchSource': 'exact', 'fontRenderName': font_name, 'fontRenderNote': 'Exact face recorded in the PDF content stream', 'fontStyleSource': 'PDF font flags + content metadata', 'fontStyleConfidence': 1.0, 'fontAsset': embedded_font[0] if embedded_font else None, 'fontAssetExt': embedded_font[1] if embedded_font else None, 'fontXref': int(font_record.get('xref', 0) or 0), 'fontType': str(font_record.get('type', '')), 'fontResource': str(font_record.get('resource', '')), 'color': font_color, 'originalColor': font_color, 'bold': font_bold, 'originalBold': font_bold, 'italic': font_italic, 'originalItalic': font_italic, 'deleted': False, 'source': 'native', 'confidence': 1.0, 'regionId': None, 'blockId': block_id, 'blockOrder': block_index, 'lineId': line_id, 'lineIndex': line_index, 'lineTop': line_top, 'lineStep': line_step})
return objects
def get_ocr() -> Any:
global _ocr_instance
if _ocr_instance is None:
with _ocr_lock:
if _ocr_instance is None:
try:
Path(os.environ['PADDLE_PDX_CACHE_HOME']).mkdir(parents=True, exist_ok=True)
from paddleocr import PaddleOCR
except Exception as exc:
raise HTTPException(status_code=503, detail=f'OCR dependencies are unavailable: {exc}') from exc
try:
_ocr_instance = PaddleOCR(ocr_version='PP-OCRv6', use_doc_orientation_classify=False, use_doc_unwarping=False, use_textline_orientation=False, device='cpu', enable_mkldnn=False)
except Exception as exc:
raise HTTPException(status_code=503, detail=f'Could not load the local PaddleOCR model: {exc}') from exc
return _ocr_instance
def get_layout_detector() -> Any:
global _layout_instance
if _layout_instance is None:
with _layout_lock:
if _layout_instance is None:
try:
from paddleocr import LayoutDetection
_layout_instance = LayoutDetection(model_name='PP-DocLayout-L', device='cpu', engine='paddle_static', enable_mkldnn=False)
except Exception as exc:
raise HTTPException(status_code=503, detail=f'Could not load the local layout model: {exc}') from exc
return _layout_instance
def get_fontid_runtime() -> tuple[Any, Any, dict[str, dict[str, str]], Any]:
global _fontid_runtime
if _fontid_runtime is not None:
return _fontid_runtime
with _fontid_lock:
if _fontid_runtime is not None:
return _fontid_runtime
try:
import torch
from huggingface_hub import snapshot_download
from transformers import Siglip2ImageProcessor
from app.fontid_model import FontIDModel
except Exception as exc:
raise RuntimeError(f'FontID runtime dependencies are unavailable: {exc}') from exc
model_folder = Path(os.getenv('FONTID_MODEL_DIR', ''))
required_files = ('config.json', 'model.safetensors', 'class_mappings.json', 'preprocessor_config.json')
if not model_folder.is_dir() or not all(((model_folder / name).is_file() for name in required_files)):
try:
model_folder = Path(snapshot_download(repo_id=FONTID_MODEL_ID, revision=FONTID_REVISION, cache_dir=os.getenv('HF_HOME', str(DATA_DIR / 'fontid-cache')), allow_patterns=[*required_files]))
except Exception as exc:
raise RuntimeError(f'Could not download local FontID model weights: {exc}') from exc
try:
torch.set_num_threads(max(1, min(4, (os.cpu_count() or 2) // 2)))
processor = Siglip2ImageProcessor.from_pretrained(str(model_folder))
model = FontIDModel.from_pretrained(model_folder)
mappings = json.loads((model_folder / 'class_mappings.json').read_text(encoding='utf-8'))
except Exception as exc:
raise RuntimeError(f'Could not load the local FontID model: {exc}') from exc
_fontid_runtime = (processor, model, mappings, torch)
return _fontid_runtime
def predict_font_crops(crops: list[tuple[str, Any]], batch_size: int=4) -> dict[str, dict[str, Any]]:
processor, model, mappings, torch = get_fontid_runtime()
predictions: dict[str, dict[str, Any]] = {}
for offset in range(0, len(crops), batch_size):
batch = crops[offset:offset + batch_size]
inputs = processor(images=[crop for _, crop in batch], max_num_patches=256, return_tensors='pt')
with _fontid_lock, torch.inference_mode():
output = model(**inputs)
for batch_index, (object_id, _crop) in enumerate(batch):
result: dict[str, Any] = {}
for head in ('font', 'style', 'lang'):
probabilities = torch.softmax(output[head][batch_index], dim=-1)
count = 3 if head == 'font' else 1
values, indices = torch.topk(probabilities, k=count)
classes = mappings.get(head, {})
result[head] = [{'value': str(classes.get(str(int(index)), 'unknown')), 'confidence': float(score)} for score, index in zip(values.tolist(), indices.tolist())]
predictions[object_id] = result
return predictions
def font_family_hint(family: str) -> str:
name = re.sub('[^a-z0-9]', '', family.lower())
if any((token in name for token in ('mono', 'courier', 'cascadia', 'code', 'console'))):
return 'mono'
if any((token in name for token in ('serif', 'garamond', 'amiri', 'mincho', 'palatino', 'times', 'lora', 'merriweather', 'ruqaa'))):
return 'serif'
return 'sans'
FONT_FILE_EXTENSIONS = {'.ttf', '.otf', '.ttc', '.pfb', '.pfa'}
def _type1_font_index() -> dict[str, Path]:
"""Index bundled/system PostScript Type 1 fonts by PostScript filename.
PDFs often reference classic TeX/Computer Modern faces such as CMBX12 by
PostScript name. Those faces may be Type 1 rather than TTF/OTF, so
fontconfig alone cannot reliably find them.
"""
roots: list[Path] = []
configured = os.getenv('PDF_EDITOR_FONT_DIRS', '')
roots.extend((Path(value) for value in configured.split(os.pathsep) if value))
roots.extend([BASE_DIR.parent / 'runtime-fonts', Path('/usr/share/texlive/texmf-dist/fonts/type1'), Path('/usr/share/fonts/type1'), Path('/usr/local/share/fonts/type1'), Path('/usr/share/fonts/X11/Type1')])
index: dict[str, Path] = {}
seen: set[Path] = set()
for root in roots:
if not root.is_dir():
continue
try:
files = root.rglob('*.pfb')
except OSError:
continue
for path in files:
try:
resolved = path.resolve()
except OSError:
resolved = path
if resolved in seen or not path.is_file():
continue
seen.add(resolved)
key = normalized_font_name(path.stem)
if key and key not in index:
index[key] = path
return index
def _font_supports_text(path: Path, text: str) -> bool:
try:
font = fitz.Font(fontfile=str(path))
return not text or all((character.isspace() or font.has_glyph(ord(character)) for character in text))
except Exception:
return False
def font_file_for_family(family: str, bold: bool, italic: bool, text: str='') -> Path | None:
if not family or not re.fullmatch('[\\w .-]{1,120}', family, re.UNICODE):
return None
type1_index = _type1_font_index()
family_key = normalized_font_name(family)
exact_type1 = type1_index.get(family_key)
if exact_type1 and _font_supports_text(exact_type1, text):
return exact_type1
if shutil.which('fc-match'):
style = 'Bold Italic' if bold and italic else 'Bold' if bold else 'Italic' if italic else 'Regular'
patterns = [f'{family}:style={style}', family]
for pattern in patterns:
try:
result = subprocess.run(['fc-match', '--format=%{file}', pattern], check=False, capture_output=True, text=True, timeout=2)
candidate = Path(result.stdout.strip())
except (OSError, subprocess.TimeoutExpired):
continue
if result.returncode != 0 or candidate.suffix.lower() not in FONT_FILE_EXTENSIONS or (not candidate.is_file()):
continue
if _font_supports_text(candidate, text):
return candidate
return None
def pdf_font_alias(path: Path, face_name: str='') -> str:
alias = re.sub('[^A-Za-z0-9_]', '', face_name)[:48]
return alias or re.sub('[^A-Za-z0-9_]', '', path.stem)[:48] or 'CustomFont'
def crop_ink_metrics(image: Any, box: tuple[int, int, int, int]) -> dict[str, Any] | None:
"""Measure visible glyph pixels and foreground color inside an OCR box."""
left, top, right, bottom = box
left = max(0, min(image.width, left))
right = max(left, min(image.width, right))
top = max(0, min(image.height, top))
bottom = max(top, min(image.height, bottom))
if right - left < 2 or bottom - top < 2:
return None
crop = image.crop((left, top, right, bottom)).convert('RGB')
pixels = crop.load()
width, height = crop.size
border = []
stride = max(1, max(width, height) // 200)
for x in range(0, width, stride):
border.append(pixels[x, 0])
border.append(pixels[x, height - 1])
for y in range(stride, height - 1, stride):
border.append(pixels[0, y])
border.append(pixels[width - 1, y])
background = tuple((sorted((pixel[channel] for pixel in border))[len(border) // 2] for channel in range(3)))
def inspect(threshold: int) -> tuple[int, int, int, int, list[tuple[int, tuple[int, int, int]]]]:
min_x, min_y, max_x, max_y = (width, height, -1, -1)
ink_count = 0
foreground: list[tuple[int, tuple[int, int, int]]] = []
sample_stride = max(1, width * height // 12000)
for y in range(height):
for x in range(width):
color = pixels[x, y]
contrast = max((abs(color[channel] - background[channel]) for channel in range(3)))
if contrast < threshold:
continue
ink_count += 1
min_x = min(min_x, x)
min_y = min(min_y, y)
max_x = max(max_x, x)
max_y = max(max_y, y)
if contrast >= max(threshold, 40) and (y * width + x) % sample_stride == 0:
foreground.append((contrast, color))
return (min_x, min_y, max_x, max_y, foreground)
min_x, min_y, max_x, max_y, foreground = inspect(26)
if max_x < min_x or max_y < min_y:
min_x, min_y, max_x, max_y, foreground = inspect(12)
if max_x < min_x or max_y < min_y:
return None
if foreground:
cutoff = max(26, int(max((value[0] for value in foreground)) * 0.65))
solid = [color for contrast, color in foreground if contrast >= cutoff]
foreground_color = tuple((sorted((color[channel] for color in solid))[len(solid) // 2] for channel in range(3)))
else:
foreground_color = (17, 17, 17)
return {'width': max_x - min_x + 1, 'height': max_y - min_y + 1, 'color': '#' + ''.join((f'{value:02x}' for value in foreground_color))}
def estimate_ocr_font_size(text: str, ink: dict[str, Any] | None, scale_x: float, scale_y: float, font: fitz.Font, fallback_box_height: float) -> tuple[float, float]:
width_estimate = height_estimate = None
try:
glyph_width = font.text_length(text.strip(), fontsize=1)
if ink and glyph_width > 0:
width_estimate = ink['width'] * scale_x / glyph_width
except Exception:
pass
try:
glyph_bounds = [font.glyph_bbox(ord(character)) for character in text if not character.isspace()]
glyph_height = max((bounds.y1 for bounds in glyph_bounds), default=0) - min((bounds.y0 for bounds in glyph_bounds), default=0)
if ink and glyph_height > 0:
height_estimate = ink['height'] * scale_y / glyph_height
except Exception:
pass
estimates = [value for value in (width_estimate, height_estimate) if value and math.isfinite(value) and (value > 0)]
if not estimates:
return (max(1.0, min(144.0, fallback_box_height / 0.72)), 0.28)
if len(estimates) == 1:
return (max(1.0, min(144.0, estimates[0])), 0.5)
agreement = min(estimates) / max(estimates)
combined = math.exp(0.68 * math.log(width_estimate) + 0.32 * math.log(height_estimate))
return (max(1.0, min(144.0, combined)), max(0.2, min(0.98, 0.35 + 0.6 * agreement)))
def annotate_ocr_fonts(image_path: Path, objects: list[dict[str, Any]], scale_x: float, scale_y: float, document_objects: list[dict[str, Any]] | None=None, folder: Path | None=None) -> tuple[str, str | None]:
"""Match OCR fonts against this PDF and open fonts; use FontID as a hint."""
from PIL import Image
supported = [item for item in objects if item.get('text', '').strip()]
if not supported:
return ('FontID not needed', None)
fontid_error = None
try:
scripts_supported = any((any((character.isascii() and character.isalpha() or 1024 <= ord(character) <= 1327 or 1536 <= ord(character) <= 2303 or (19968 <= ord(character) <= 40959) for character in item['text'])) for item in supported))
if scripts_supported:
get_fontid_runtime()
except Exception as exc:
fontid_error = str(exc)
predictions: dict[str, dict[str, Any]] = {}
if fontid_error is None:
with Image.open(image_path) as opened:
page_image = opened.convert('RGB')
font_crops: list[tuple[str, Any]] = []
for item in supported:
box = item.get('_ocrBoxPx')
if not box:
continue
ink = crop_ink_metrics(page_image, tuple(box))
item['_inkMetrics'] = ink
chars_supported = any((character.isascii() and character.isalpha() or 1024 <= ord(character) <= 1327 or 1536 <= ord(character) <= 2303 or (19968 <= ord(character) <= 40959) for character in item['text']))
if chars_supported:
font_crops.append((item['id'], page_image.crop(tuple(box))))
if font_crops:
try:
predictions = predict_font_crops(font_crops)
except Exception as exc:
fontid_error = str(exc)
font_catalog = build_font_catalog(document_objects or [], folder) if folder else []
font_cache: dict[tuple[str, bool, bool, str, str], tuple[Path | None, fitz.Font]] = {}
with Image.open(image_path) as opened:
page_image = opened.convert('RGB')
for item in supported:
predicted = predictions.get(item['id'], {})
font_matches = predicted.get('font', [])
pixel_box = item.get('_ocrBoxPx')
ranked = rank_font_candidates(page_image, tuple(pixel_box), item['text'], font_catalog, font_matches) if pixel_box else []
best_match = ranked[0] if ranked else None
document_profiles = compatible_document_fonts(item['text'], font_catalog) if not best_match else []
font_reference = best_match or (document_profiles[0] if document_profiles else None)
family = font_reference['family'] if font_reference else font_matches[0]['value'] if font_matches else ''
style = predicted.get('style', [{}])[0].get('value', 'Regular')
bold = font_reference['bold'] if font_reference else style in {'Bold', 'BoldItalic'}
italic = font_reference['italic'] if font_reference else style in {'Italic', 'BoldItalic'}
hint = font_family_hint(family) if family else 'sans'
preferred_path = None
if font_reference and font_reference.get('assetId') and folder:
preferred_path = next((folder / 'fonts' / f"{font_reference['assetId']}.{ext}" for ext in ('ttf', 'otf') if (folder / 'fonts' / f"{font_reference['assetId']}.{ext}").is_file()), None)
cache_key = (family or hint, bold, italic, item['text'], str(preferred_path or ''))
if cache_key not in font_cache:
font_path = preferred_path or font_file_for_family(family or {'sans': 'DejaVu Sans', 'serif': 'DejaVu Serif', 'mono': 'DejaVu Sans Mono'}[hint], bold, italic, item['text'])
try:
font_object = fitz.Font(fontfile=str(font_path)) if font_path else fitz.Font(fontname={'sans': 'helv', 'serif': 'tiro', 'mono': 'cour'}[hint])
except Exception:
font_path = None
font_object = fitz.Font(fontname='helv')
font_cache[cache_key] = (font_path, font_object)
font_path, font_object = font_cache[cache_key]
box = item.get('_ocrBoxPx')
if box is None:
box = (round(item['x'] / scale_x), round(item['y'] / scale_y), round((item['x'] + item['width']) / scale_x), round((item['y'] + item['height']) / scale_y))
ink = item.pop('_inkMetrics', None) or crop_ink_metrics(page_image, tuple(box))
size, size_confidence = estimate_ocr_font_size(item['text'], ink, scale_x, scale_y, font_object, float(item['originalHeight']))
if best_match:
candidates = ranked
source_label = 'PDF font' if best_match['source'] == 'document' else 'installed open font'
font_label = f'Best rendered-glyph match: {family} ({source_label})'
family_confidence = best_match['visualScore']
elif document_profiles:
candidates = document_profiles
font_label = f'Embedded PDF font supports this text: {family}'
family_confidence = None
elif font_matches:
candidates = [{'family': entry['value'], 'confidence': entry['confidence'], 'value': f"fontid:{entry['value']}", 'source': 'classifier', 'bold': bold, 'italic': italic} for entry in font_matches]
font_label = f'FontID category suggestion: {family}'
family_confidence = None
else:
candidates = []
family_confidence = None
font_label = 'Font family not identified · choose a font manually'
if ink:
color = ink['color']
color_source = 'Sampled from scanned glyph pixels'
else:
color = '#111111'
color_source = 'Dark text fallback'
item.update({'fontSize': size, 'originalFontSize': size, 'glyphAdvances': [round(font_object.text_length(character, fontsize=size), 4) for character in item['text']], 'font': font_label, 'fontFamily': 'original', 'originalFontFamily': 'original', 'fontFamilyHint': hint, 'fontGuess': family or None, 'fontCandidates': candidates, 'fontGuessConfidence': family_confidence, 'fontMatchSource': best_match['source'] if best_match else 'document-profile' if document_profiles else 'classifier' if font_matches else 'fallback', 'fontSizeSource': 'OCR glyph width/height fitted to font metrics', 'fontSizeConfidence': size_confidence, 'fontColorSource': color_source, 'color': color, 'originalColor': color, 'bold': bold, 'originalBold': bold, 'italic': italic, 'originalItalic': italic, 'fontSystemPath': str(font_path) if font_path else None, 'fontRenderName': font_object.name, 'fontRenderNote': '' if not family or (font_object.name and normalized_font_name(family) in normalized_font_name(font_object.name)) else f'Closest installed open font: {font_object.name}', 'fontStyleSource': 'Rendered-glyph face match' if best_match else 'PDF font metadata' if document_profiles else 'FontID visual estimate' if predicted.get('style') else 'DejaVu/Noto style fallback', 'fontStyleConfidence': None if font_reference else predicted.get('style', [{}])[0].get('confidence')})
item.pop('_ocrBoxPx', None)
matched = sum((bool(item.get('fontCandidates')) and item.get('fontMatchSource') in {'document', 'installed', 'document-profile'} for item in supported))
if predictions and matched:
return (f'FontID + open-set glyph matching · {matched} font matches', fontid_error)
if matched:
return (f'PDF/open-font glyph matching · {matched} font matches', fontid_error)
if predictions:
return (f'FontID category suggestions · {len(predictions)} samples', fontid_error)
return ('OCR glyph-metric estimate' if fontid_error else 'Font matching unavailable', fontid_error)
def read_model_result(result: Any, destination: Path) -> dict[str, Any]:
result.save_to_json(str(destination))
payload = json.loads(destination.read_text(encoding='utf-8'))
return payload.get('res', payload)
def recognize_page(image_path: Path, page_index: int, scale_x: float, scale_y: float) -> list[dict[str, Any]]:
detected: list[dict[str, Any]] = []
result_path = image_path.with_name('ocr-result.json')
for result in get_ocr().predict(str(image_path)):
detail = read_model_result(result, result_path)
texts = detail.get('rec_texts', [])
scores = detail.get('rec_scores', [])
boxes = detail.get('rec_boxes', [])
polygons = detail.get('rec_polys', []) or detail.get('rec_polygons', []) or []
for i, text in enumerate(texts):
if not str(text).strip() or i >= len(boxes):
continue
x0, y0, x1, y1 = [float(value) for value in boxes[i]]
rotation = 0.0
if i < len(polygons):
try:
points = polygons[i]
if len(points) >= 2:
p0, p1 = (points[0], points[1])
rotation = normalized_rotation(math.degrees(math.atan2(-(float(p1[1]) - float(p0[1])), float(p1[0]) - float(p0[0]))))
except (TypeError, ValueError, IndexError):
rotation = 0.0
estimated_height = max(1.0, (y1 - y0) * scale_y / 0.72)
detected.append({'id': uuid.uuid4().hex, 'page': page_index, 'text': str(text), 'originalText': str(text), 'x': x0 * scale_x, 'y': y0 * scale_y, 'width': max(1.0, (x1 - x0) * scale_x), 'height': max(1.0, (y1 - y0) * scale_y), 'fontSize': max(1.0, min(144.0, estimated_height)), 'originalFontSize': max(1.0, min(144.0, estimated_height)), 'font': 'FontID visual match pending', 'fontFamily': 'original', 'originalFontFamily': 'original', 'fontFamilyHint': 'sans', 'fontSizeSource': 'OCR glyph-height estimate', 'fontSizeConfidence': 0.3, 'color': '#111111', 'originalColor': '#111111', 'bold': False, 'originalBold': False, 'italic': False, 'originalItalic': False, 'deleted': False, 'source': 'ocr', 'confidence': float(scores[i]) if i < len(scores) else None, 'regionId': None, 'type': 'text', 'originalX': x0 * scale_x, 'originalY': y0 * scale_y, 'originalWidth': max(1.0, (x1 - x0) * scale_x), 'originalHeight': max(1.0, (y1 - y0) * scale_y), 'blockId': None, 'lineId': None, '_ocrBoxPx': [x0, y0, x1, y1]})
return detected
def remove_native_text_duplicates(ocr_objects: list[dict[str, Any]], native_objects: list[dict[str, Any]]) -> list[dict[str, Any]]:
"""Keep OCR detections for scanned content while avoiding duplicate selectable PDF text."""
native_text = [item for item in native_objects if item.get('type', 'text') == 'text']
supplemental: list[dict[str, Any]] = []
for ocr in ocr_objects:
ox0, oy0 = (float(ocr['x']), float(ocr['y']))
ox1, oy1 = (ox0 + float(ocr['width']), oy0 + float(ocr['height']))
ocr_area = max(1.0, float(ocr['width']) * float(ocr['height']))
center_x, center_y = ((ox0 + ox1) / 2, (oy0 + oy1) / 2)
duplicate = False
for native in native_text:
nx0, ny0 = (float(native['x']), float(native['y']))
nx1, ny1 = (nx0 + float(native['width']), ny0 + float(native['height']))
intersection = max(0.0, min(ox1, nx1) - max(ox0, nx0)) * max(0.0, min(oy1, ny1) - max(oy0, ny0))
contains_center = nx0 <= center_x <= nx1 and ny0 <= center_y <= ny1
if intersection / ocr_area >= 0.45 or contains_center:
duplicate = True
break
if not duplicate:
supplemental.append(ocr)
return supplemental
def detect_layout(image_path: Path, page_index: int, scale_x: float, scale_y: float) -> list[dict[str, Any]]:
regions: list[dict[str, Any]] = []
result_path = image_path.with_name('layout-result.json')
for result in get_layout_detector().predict(str(image_path), batch_size=1, layout_nms=True):
detail = read_model_result(result, result_path)
for index, box in enumerate(detail.get('boxes', [])):
coords = box.get('coordinate') or []
if len(coords) != 4:
continue
x0, y0, x1, y1 = [float(value) for value in coords]
if x1 <= x0 or y1 <= y0:
continue
regions.append({'id': uuid.uuid4().hex, 'page': page_index, 'label': str(box.get('label', 'content')), 'confidence': float(box.get('score', 0)), 'order': index, 'x': x0 * scale_x, 'y': y0 * scale_y, 'width': (x1 - x0) * scale_x, 'height': (y1 - y0) * scale_y})
return regions
def assign_regions(objects: list[dict[str, Any]], regions: list[dict[str, Any]], page_index: int) -> None:
for obj in objects:
if obj.get('page') != page_index:
continue
cx = float(obj['x']) + float(obj['width']) / 2
cy = float(obj['y']) + float(obj['height']) / 2
candidates = [r for r in regions if r['x'] <= cx <= r['x'] + r['width'] and r['y'] <= cy <= r['y'] + r['height']]
if candidates:
smallest = min(candidates, key=lambda r: r['width'] * r['height'])
obj['regionId'] = smallest['id']
else:
obj['regionId'] = None
ocr_regions: dict[str, list[dict[str, Any]]] = {}
for obj in objects:
if obj.get('page') == page_index and obj.get('source') == 'ocr':
key = obj.get('regionId') or 'unassigned'
ocr_regions.setdefault(key, []).append(obj)
for region_id, region_objects in ocr_regions.items():
lines: list[list[dict[str, Any]]] = []
for obj in sorted(region_objects, key=lambda item: (item['y'], item['x'])):
center_y = obj['y'] + obj['height'] / 2
line = next((candidate for candidate in reversed(lines) if abs(center_y - (candidate[0]['y'] + candidate[0]['height'] / 2)) <= max(2.5, min(obj['height'], candidate[0]['height']) * 0.45)), None)
if line is None:
lines.append([obj])
else:
line.append(obj)
lines.sort(key=lambda line: min((item['y'] for item in line)))
tops = [min((item['y'] for item in line)) for line in lines]
for index, line in enumerate(lines):
top = tops[index]
line_step = tops[index + 1] - top if index + 1 < len(tops) else max((item['height'] for item in line)) * 1.35
line_id = uuid.uuid4().hex
for obj in line:
obj['blockId'] = f'ocr-{region_id}' if region_id != 'unassigned' else None
obj['lineId'] = line_id
obj['lineIndex'] = index
obj['lineTop'] = top
obj['lineStep'] = max(line_step, obj['height'])
def render_analysis_image(pdf: fitz.Document, page_index: int, output: Path, scale: float=2.0) -> tuple[float, float]:
page = pdf[page_index]
pixmap = page.get_pixmap(matrix=fitz.Matrix(scale, scale), alpha=False)
pixmap.save(output)
return (page.rect.width / pixmap.width, page.rect.height / pixmap.height)
def save_document_model(folder: Path, model: dict[str, Any]) -> None:
model_path = folder / 'document.json'
temp_path = folder / 'document.json.tmp'
temp_path.write_text(json.dumps(model, ensure_ascii=False, indent=2), encoding='utf-8')
temp_path.replace(model_path)
def analyze_page(document_id: str, page_number: int, refresh: bool=False) -> dict[str, Any]:
folder = document_dir(document_id)
model_path = folder / 'document.json'
document = json.loads(model_path.read_text(encoding='utf-8'))
if page_number < 0 or page_number >= len(document['pages']):
raise HTTPException(status_code=404, detail='Page not found')
ocr_detection_count = 0
font_model_status = 'No scanned text'
font_model_error: str | None = None
try:
pdf = fitz.open(folder / 'original.pdf')
with tempfile.TemporaryDirectory() as tmp:
image_path = Path(tmp) / 'page.png'
scale_x, scale_y = render_analysis_image(pdf, page_number, image_path)
page_objects = [obj for obj in document['objects'] if obj['page'] == page_number]
native_text = any((obj.get('source') == 'native' and obj.get('type', 'text') == 'text' for obj in page_objects))
cached_ocr = bool(document['pages'][page_number].get('ocrAnalyzed')) or any((obj.get('source') == 'ocr' for obj in page_objects))
ocr_ran = refresh or not cached_ocr
recognized = recognize_page(image_path, page_number, scale_x, scale_y) if ocr_ran else []
ocr_detection_count = len(recognized) if ocr_ran else sum((obj.get('page') == page_number and obj.get('source') == 'ocr' for obj in page_objects))
native_objects = [obj for obj in page_objects if obj.get('source') == 'native']
new_objects = remove_native_text_duplicates(recognized, native_objects)
regions = detect_layout(image_path, page_number, scale_x, scale_y)
ocr_objects = new_objects if ocr_ran else [obj for obj in page_objects if obj.get('source') == 'ocr' and obj.get('type') == 'text']
font_model_status, font_model_error = annotate_ocr_fonts(image_path, ocr_objects, scale_x, scale_y, document.get('objects', []), folder)
pdf.close()
except HTTPException:
raise
except Exception as exc:
raise HTTPException(status_code=500, detail=f'Page analysis failed: {exc}') from exc
if ocr_ran:
document['objects'] = [obj for obj in document['objects'] if not (obj['page'] == page_number and obj.get('source') == 'ocr')]
document['objects'].extend(new_objects)
assign_regions(document['objects'], regions, page_number)
document['pages'][page_number]['regions'] = regions
document['pages'][page_number]['analyzed'] = True
document['pages'][page_number]['layoutModel'] = 'PP-DocLayout-L'
document['pages'][page_number]['ocrAnalyzed'] = True
document['pages'][page_number]['hasText'] = native_text or any((obj.get('page') == page_number and obj.get('source') == 'ocr' for obj in document['objects']))
save_document_model(folder, document)
return {'layoutModel': 'PP-DocLayout-L', 'ocrModel': 'PaddleOCR PP-OCRv6 + PDF text extraction', 'ocrUsed': True, 'ocrRan': ocr_ran, 'ocrDetections': ocr_detection_count, 'fontModel': font_model_status, 'fontModelError': font_model_error[:500] if font_model_error else None, 'objects': [obj for obj in document['objects'] if obj['page'] == page_number], 'regions': regions}
def ocr_page(document_id: str, page_number: int) -> dict[str, Any]:
"""Compatibility endpoint: OCR only. Prefer /analyze for OCR plus layout regions."""
folder = document_dir(document_id)
model_path = folder / 'document.json'
document = json.loads(model_path.read_text(encoding='utf-8'))
if page_number < 0 or page_number >= len(document['pages']):
raise HTTPException(status_code=404, detail='Page not found')
try:
pdf = fitz.open(folder / 'original.pdf')
with tempfile.TemporaryDirectory() as tmp:
image_path = Path(tmp) / 'page.png'
scale_x, scale_y = render_analysis_image(pdf, page_number, image_path)
detected = recognize_page(image_path, page_number, scale_x, scale_y)
font_model_status, font_model_error = annotate_ocr_fonts(image_path, detected, scale_x, scale_y, document.get('objects', []), folder)
pdf.close()
except HTTPException:
raise
except Exception as exc:
raise HTTPException(status_code=500, detail=f'OCR failed: {exc}') from exc
document['objects'].extend(detected)
document['pages'][page_number]['hasText'] = bool(detected) or document['pages'][page_number]['hasText']
save_document_model(folder, document)
return {'model': 'PaddleOCR PP-OCRv6', 'fontModel': font_model_status, 'fontModelError': font_model_error[:500] if font_model_error else None, 'objects': detected}
def insertion_font(item: EditObject, source_object: dict[str, Any], folder: Path) -> tuple[str, str | None]:
source_font = str(source_object.get('font', ''))
source_is_native = source_object.get('source') == 'native'
font_asset = source_object.get('fontAsset')
extension = source_object.get('fontAssetExt')
family = item.fontFamily
exact_original_style = family == 'original' and item.bold == source_object.get('bold', False) and (item.italic == source_object.get('italic', False))
if exact_original_style and font_asset and (extension in {'ttf', 'otf'}):
path = folder / 'fonts' / f'{font_asset}.{extension}'
if path.is_file():
try:
embedded = fitz.Font(fontfile=str(path))
if all((character.isspace() or embedded.has_glyph(ord(character)) for character in item.text)):
return (f'source_{font_asset}', str(path))
if source_is_native:
raise HTTPException(status_code=422, detail=f'The exact PDF font "{source_font or embedded.name}" does not contain all replacement characters. Choose another font or keep the original text.')
except HTTPException:
raise
except Exception:
pass
if family.startswith('document:'):
asset_id = family.removeprefix('document:')
match = next((candidate for candidate in source_object.get('fontCandidates', []) if candidate.get('value') == family), None)
if re.fullmatch('[0-9a-f]{32}', asset_id):
for asset_ext in ('ttf', 'otf'):
path = folder / 'fonts' / f'{asset_id}.{asset_ext}'
if not path.is_file():
continue
try:
embedded = fitz.Font(fontfile=str(path))
compatible_style = match is None or (item.bold, item.italic) == (match.get('bold'), match.get('italic'))
if compatible_style and all((character.isspace() or embedded.has_glyph(ord(character)) for character in item.text)):
return (f'source_{asset_id}', str(path))
except Exception:
pass
if match:
font_path = font_file_for_family(match.get('family', ''), item.bold, item.italic, item.text)
if font_path:
try:
font = fitz.Font(fontfile=str(font_path))
return (pdf_font_alias(font_path, font.name), str(font_path))
except Exception:
pass
if family.startswith('fontid:'):
recognized_family = family.removeprefix('fontid:')
font_path = font_file_for_family(recognized_family, item.bold, item.italic, item.text)
if font_path:
try:
font = fitz.Font(fontfile=str(font_path))
return (pdf_font_alias(font_path, font.name), str(font_path))
except Exception:
pass
if family.startswith('google:'):
requested_family = family.removeprefix('google:')
font_path = ensure_google_font(requested_family, item.bold, item.italic)
if font_path and _font_supports_text(font_path, item.text):
try:
font = fitz.Font(fontfile=str(font_path))
return (pdf_font_alias(font_path, font.name), str(font_path))
except Exception:
pass
if font_path:
raise HTTPException(status_code=422, detail=f'Google Font "{requested_family}" does not contain all replacement characters.')
if family.startswith('installed:'):
requested_family = family.removeprefix('installed:')
font_path = font_file_for_family(requested_family, item.bold, item.italic, item.text)
if font_path:
try:
font = fitz.Font(fontfile=str(font_path))
return (pdf_font_alias(font_path, font.name), str(font_path))
except Exception:
pass
if exact_original_style:
standard_alias = standard_pdf_font_alias(source_font, item.bold, item.italic)
if standard_alias:
try:
exact_font = fitz.Font(fontname=standard_alias)
if all((character.isspace() or exact_font.has_glyph(ord(character)) for character in item.text)):
return (standard_alias, None)
except Exception:
pass
system_path = source_object.get('fontSystemPath')
if system_path:
path = Path(system_path)
if path.suffix.lower() in FONT_FILE_EXTENSIONS and path.is_file():
try:
visual_font = fitz.Font(fontfile=str(path))
if all((character.isspace() or visual_font.has_glyph(ord(character)) for character in item.text)):
return (pdf_font_alias(path, visual_font.name), str(path))
except Exception:
pass
source_family = source_font.split('+')[-1].replace('_', ' ').strip()
if source_family:
source_path = font_file_for_family(source_family, item.bold, item.italic, item.text)
if source_path:
try:
resolved_font = fitz.Font(fontfile=str(source_path))
resolved_key = normalized_font_name(resolved_font.name)
source_key = normalized_font_name(source_family)
path_key = normalized_font_name(source_path.stem)
if path_key == source_key:
return (pdf_font_alias(source_path, source_family), str(source_path))
if not source_is_native or source_key in resolved_key or resolved_key in source_key or (len(source_key) >= 6 and source_key[:6] in resolved_key):
return (pdf_font_alias(source_path, resolved_font.name), str(source_path))
except Exception:
pass
hint = (source_object.get('fontFamilyHint') or source_font).lower()
if family == 'original':
family = 'mono' if any((key in hint for key in ('courier', 'mono', 'consol'))) else 'serif' if any((key in hint for key in ('times', 'serif', 'garamond', 'bookman'))) else 'sans'
prefix = {'serif': 'DejaVuSerif', 'mono': 'DejaVuSansMono'}.get(family, 'DejaVuSans')
italic_suffix = 'Italic' if prefix == 'DejaVuSerif' else 'Oblique'
suffix = f'-Bold{italic_suffix}' if item.bold and item.italic else '-Bold' if item.bold else f'-{italic_suffix}' if item.italic else ''
font_path = Path('/usr/share/fonts/truetype/dejavu') / f'{prefix}{suffix}.ttf'
if font_path.is_file():
try:
fallback_font = fitz.Font(fontfile=str(font_path))
if all((character.isspace() or fallback_font.has_glyph(ord(character)) for character in item.text)):
return (pdf_font_alias(font_path, font_path.stem), str(font_path))
except Exception:
pass
script_fonts = [('NotoSansDevanagari-Regular.ttf', range(2304, 2432)), ('NotoSansBengali-Regular.ttf', range(2432, 2560)), ('NotoSansGurmukhi-Regular.ttf', range(2560, 2688)), ('NotoSansGujarati-Regular.ttf', range(2688, 2816)), ('NotoSansOriya-Regular.ttf', range(2816, 2944)), ('NotoSansTamil-Regular.ttf', range(2944, 3072)), ('NotoSansTelugu-Regular.ttf', range(3072, 3200)), ('NotoSansKannada-Regular.ttf', range(3200, 3328)), ('NotoSansMalayalam-Regular.ttf', range(3328, 3456)), ('NotoSansArabic-Regular.ttf', range(1536, 1792)), ('NotoSansThai-Regular.ttf', range(3584, 3712))]
chars = [ord(character) for character in item.text]
for filename, codepoints in script_fonts:
if not any((codepoint in codepoints for codepoint in chars)):
continue
candidate = Path('/usr/share/fonts/truetype/noto') / filename
if candidate.is_file():
try:
script_font = fitz.Font(fontfile=str(candidate))
if all((chr(codepoint).isspace() or script_font.has_glyph(codepoint) for codepoint in chars)):
return (pdf_font_alias(candidate, candidate.stem), str(candidate))
except Exception:
pass
cjk_path = Path('/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc')
if any((11904 <= codepoint <= 40959 or 63744 <= codepoint <= 64255 for codepoint in chars)) and cjk_path.is_file():
try:
cjk_font = fitz.Font(fontfile=str(cjk_path))
if all((chr(codepoint).isspace() or cjk_font.has_glyph(codepoint) for codepoint in chars)):
return ('NotoSansCJK', str(cjk_path))
except Exception:
pass
fallback = {(False, False): 'helv', (True, False): 'hebo', (False, True): 'heit', (True, True): 'hebi'}
return (fallback[item.bold, item.italic], None)
def insert_editor_text(page: fitz.Page, edit: EditObject, font_name: str, font_file: str | None, color: tuple[float, float, float], overlay: bool=True) -> None:
"""Insert vector text at its inspector geometry and rotate around the box center."""
try:
font = fitz.Font(fontfile=font_file) if font_file else fitz.Font(fontname=font_name)
ascender = min(1.5, max(0.5, float(font.ascender)))
except Exception:
ascender = 0.9
angle = normalized_rotation(edit.rotation)
point = fitz.Point(edit.x, edit.y + edit.fontSize * ascender)
if abs(angle) < 0.0005:
page.insert_text(point, edit.text, fontsize=edit.fontSize, fontname=font_name, fontfile=font_file, color=color, overlay=overlay)
return
center = fitz.Point(edit.x + edit.width / 2.0, edit.y + edit.height / 2.0)
matrix = fitz.Matrix(1, 1).prerotate(angle)
page.insert_text(point, edit.text, fontsize=edit.fontSize, fontname=font_name, fontfile=font_file, color=color, overlay=overlay, morph=(center, matrix))
def sample_background_color(page: fitz.Page, rect: fitz.Rect) -> tuple[float, float, float]:
margin = max(2.0, min(6.0, rect.height * 0.18))
page_rect = page.rect
clip = fitz.Rect(max(page_rect.x0, rect.x0 - margin), max(page_rect.y0, rect.y0 - margin), min(page_rect.x1, rect.x1 + margin), min(page_rect.y1, rect.y1 + margin))
if clip.is_empty or clip.width <= 0 or clip.height <= 0:
return (1.0, 1.0, 1.0)
try:
pixmap = page.get_pixmap(matrix=fitz.Matrix(2, 2), clip=clip, alpha=False)
except Exception:
return (1.0, 1.0, 1.0)
if pixmap.width < 3 or pixmap.height < 3 or pixmap.n < 3:
return (1.0, 1.0, 1.0)
stride = pixmap.n
pixels = pixmap.samples
samples: list[tuple[int, int, int]] = []
for x in range(pixmap.width):
for y in (0, pixmap.height - 1):
offset = (y * pixmap.width + x) * stride
samples.append((pixels[offset], pixels[offset + 1], pixels[offset + 2]))
for y in range(1, pixmap.height - 1):
for x in (0, pixmap.width - 1):
offset = (y * pixmap.width + x) * stride
samples.append((pixels[offset], pixels[offset + 1], pixels[offset + 2]))
samples.sort(key=lambda pixel: pixel[0] + pixel[1] + pixel[2])
channel_values = []
for channel in range(3):
values = sorted((pixel[channel] for pixel in samples))
channel_values.append(values[len(values) // 2] / 255)
return tuple(channel_values)
def patch_background_raster_text(folder: Path, image_object: dict[str, Any], edits: list[tuple[EditObject, dict[str, Any]]], source_by_id: dict[str, dict[str, Any]]) -> bytes:
"""Edit OCR text in its backing image so every foreground PDF layer stays intact."""
from PIL import Image, ImageDraw, ImageFont
asset_id = str(image_object.get('assetId', ''))
extension = str(image_object.get('assetExt', ''))
if not re.fullmatch('[0-9a-f]{32}', asset_id) or not re.fullmatch('png|jpe?g|webp', extension):
raise HTTPException(status_code=409, detail='The detected background image cannot be edited independently')
image_path = folder / 'images' / f'{asset_id}.{extension}'
if not image_path.is_file():
raise HTTPException(status_code=400, detail='The source background image asset is missing')
try:
with Image.open(image_path) as opened:
image = opened.convert('RGBA')
except Exception as exc:
raise HTTPException(status_code=415, detail='The source background image could not be decoded') from exc
px_per_point_x = image.width / max(0.01, float(image_object['width']))
px_per_point_y = image.height / max(0.01, float(image_object['height']))
image_x = float(image_object['x'])
image_y = float(image_object['y'])
source_rectangles: list[tuple[int, int, int, int]] = []
for _edit, original in edits:
pad_x = max(1.0, float(original['height']) * px_per_point_x * 0.1)
pad_y = max(1.0, float(original['height']) * px_per_point_y * 0.1)
x0 = max(0, math.floor((float(original['x']) - image_x) * px_per_point_x - pad_x))
y0 = max(0, math.floor((float(original['y']) - image_y) * px_per_point_y - pad_y))
x1 = min(image.width, math.ceil((float(original['x']) + float(original['width']) - image_x) * px_per_point_x + pad_x))
y1 = min(image.height, math.ceil((float(original['y']) + float(original['height']) - image_y) * px_per_point_y + pad_y))
if x1 <= x0 or y1 <= y0:
continue
source_rectangles.append((x0, y0, x1, y1))
if source_rectangles:
try:
import cv2
import numpy as np
rgb = np.asarray(image.convert('RGB'))
mask = np.zeros((image.height, image.width), dtype=np.uint8)
for x0, y0, x1, y1 in source_rectangles:
cv2.rectangle(mask, (x0, y0), (x1 - 1, y1 - 1), 255, thickness=-1)
radius = max(2, min(18, round(max((y1 - y0 for _, y0, _, y1 in source_rectangles)) * 0.3)))
repaired = cv2.inpaint(rgb, mask, radius, cv2.INPAINT_TELEA)
alpha = image.getchannel('A')
image = Image.fromarray(repaired).convert('RGBA')
image.putalpha(alpha)
except Exception:
draw = ImageDraw.Draw(image)
for x0, y0, x1, y1 in source_rectangles:
strip = image.crop((x0, max(0, y0 - 2), x1, y0)).convert('RGB')
pixels = list(strip.getdata())
if not pixels:
strip = image.crop((x0, min(image.height - 1, y1), x1, min(image.height, y1 + 2))).convert('RGB')
pixels = list(strip.getdata())
fill = tuple((sorted(channel)[len(channel) // 2] for channel in zip(*pixels))) if pixels else (255, 255, 255)
draw.rectangle((x0, y0, x1, y1), fill=(*fill, 255))
painter = ImageDraw.Draw(image)
for edit, original in edits:
if edit.deleted or not edit.text.strip():
continue
if edit.x < image_x - 0.01 or edit.y < image_y - 0.01 or edit.x + edit.width > image_x + float(image_object['width']) + 0.01 or (edit.y + edit.height > image_y + float(image_object['height']) + 0.01):
raise HTTPException(status_code=409, detail='Background text must stay inside its background image')
font_name, font_path = insertion_font(edit, original, folder)
if font_path is None:
font_path = font_file_for_family('DejaVu Sans', edit.bold, edit.italic, edit.text)
try:
font = ImageFont.truetype(str(font_path), max(1, round(edit.fontSize * px_per_point_y))) if font_path else ImageFont.load_default()
except Exception:
font = ImageFont.load_default()
x = round((edit.x - image_x) * px_per_point_x)
y = round((edit.y - image_y) * px_per_point_y)
color = tuple((int(edit.color[index:index + 2], 16) for index in (1, 3, 5)))
angle = normalized_rotation(edit.rotation)
if abs(angle) < 0.0005:
painter.text((x, y), edit.text, font=font, fill=(*color, 255), anchor='lt', spacing=max(1, round(edit.fontSize * px_per_point_y * 0.15)))
else:
bbox = painter.textbbox((0, 0), edit.text, font=font, anchor='lt')
text_width = max(1, bbox[2] - bbox[0])
text_height = max(1, bbox[3] - bbox[1])
pad = max(8, round(text_height * 0.35))
layer = Image.new('RGBA', (text_width + pad * 2, text_height + pad * 2), (0, 0, 0, 0))
layer_draw = ImageDraw.Draw(layer)
layer_draw.text((pad, pad), edit.text, font=font, fill=(*color, 255), anchor='lt')
layer = layer.rotate(-angle, resample=Image.Resampling.BICUBIC, expand=True)
center_x = round((edit.x + edit.width / 2 - image_x) * px_per_point_x)
center_y = round((edit.y + edit.height / 2 - image_y) * px_per_point_y)
image.alpha_composite(layer, (center_x - layer.width // 2, center_y - layer.height // 2))
output = BytesIO()
image.save(output, format='PNG', optimize=True)
return output.getvalue()
def apply_editor_changes(pdf: fitz.Document, folder: Path, source_model: dict[str, Any], request: ExportRequest, page_filter: int | None=None) -> None:
source_by_id = {item['id']: item for item in source_model['objects']}
requested_by_id = {item.id: item for item in request.objects}
requested_source_ids = {item.id for item in request.objects if item.id in source_by_id and (not item.isNew)}
inserted_objects = [item for item in request.objects if item.id not in source_by_id]
if len(requested_by_id) != len(request.objects) or requested_source_ids != set(source_by_id) or any((not item.isNew for item in inserted_objects)) or any((item.isNew for item in request.objects if item.id in source_by_id)):
raise HTTPException(status_code=400, detail='Editor objects do not match this document')
table_groups: list[dict[str, Any]] = []
seen_groups: set[tuple[int, str]] = set()
for edit in request.tableGroups:
if edit.page >= len(source_model['pages']):
raise HTTPException(status_code=400, detail='Moved table is outside the document')
key = (edit.page, edit.id)
if key in seen_groups:
raise HTTPException(status_code=400, detail='Duplicate table movement')
seen_groups.add(key)
region = next((entry for entry in source_model['pages'][edit.page].get('regions', []) if entry.get('id') == edit.id and entry.get('tableStructure')), None)
if region is None:
raise HTTPException(status_code=400, detail='The selected table is no longer available; analyze it again')
original_rect = fitz.Rect(region['x'], region['y'], region['x'] + region['width'], region['y'] + region['height'])
if abs(edit.width - original_rect.width) > 0.05 or abs(edit.height - original_rect.height) > 0.05 or edit.x + edit.width > source_model['pages'][edit.page]['width'] + 1 or (edit.y + edit.height > source_model['pages'][edit.page]['height'] + 1):
raise HTTPException(status_code=400, detail='Tables can be moved within the page without resizing')
table_groups.append({'edit': edit, 'region': region, 'sourceRect': original_rect, 'dx': edit.x - original_rect.x0, 'dy': edit.y - original_rect.y0})
def table_group_for(source_object: dict[str, Any]) -> dict[str, Any] | None:
page_index = int(source_object['page'])
center_x = float(source_object['x']) + float(source_object['width']) / 2
center_y = float(source_object['y']) + float(source_object['height']) / 2
candidates = []
for group in table_groups:
edit = group['edit']
if edit.page != page_index:
continue
region_id = group['region']['id']
if (source_object.get('tableCell') or {}).get('regionId') == region_id or source_object.get('regionId') == region_id or group['sourceRect'].contains(fitz.Point(center_x, center_y)):
candidates.append(group)
return min(candidates, key=lambda item: item['sourceRect'].width * item['sourceRect'].height) if candidates else None
replacements: list[EditObject] = []
image_edits: dict[str, EditObject] = {}
image_fallbacks: list[EditObject] = []
grouped_text_edits: list[tuple[EditObject, dict[str, Any], fitz.Rect, bool]] = []
grouped_image_edits: list[tuple[EditObject, dict[str, Any]]] = []
background_raster_text_edits: dict[str, list[tuple[EditObject, dict[str, Any]]]] = {}
new_texts: list[EditObject] = []
new_images: list[EditObject] = []
exact_move_clips: list[tuple[EditObject, fitz.Rect, fitz.Rect]] = []
annotated_pages: set[int] = set()
for obj_id, edit in requested_by_id.items():
if obj_id not in source_by_id:
if edit.page >= len(source_model['pages']):
raise HTTPException(status_code=400, detail='Inserted object is outside the document')
page_size = source_model['pages'][edit.page]
if edit.x + edit.width > page_size['width'] + 1 or edit.y + edit.height > page_size['height'] + 1:
raise HTTPException(status_code=400, detail='Inserted object is outside the document')
if not edit.deleted:
(new_images if edit.type == 'image' else new_texts).append(edit)
continue
original = source_by_id[obj_id]
if edit.page != original['page'] or edit.page >= len(source_model['pages']):
raise HTTPException(status_code=400, detail='Edited object is outside the document')
page_size = source_model['pages'][edit.page]
if edit.x > page_size['width'] or edit.y > page_size['height'] or edit.x + edit.width > page_size['width'] + 1 or (edit.y + edit.height > page_size['height'] + 1):
raise HTTPException(status_code=400, detail='Edited object is outside the document')
if edit.type != original.get('type', 'text'):
raise HTTPException(status_code=400, detail='Object type cannot be changed')
if page_filter is not None and edit.page != page_filter:
continue
group = table_group_for(original)
expected_x = float(original['x']) + (group['dx'] if group else 0.0)
expected_y = float(original['y']) + (group['dy'] if group else 0.0)
geometry_changed = abs(edit.x - expected_x) > 0.01 or abs(edit.y - expected_y) > 0.01 or abs(edit.width - original['width']) > 0.01 or (abs(edit.height - original['height']) > 0.01)
rotation_changed = edit.type == 'text' and abs(normalized_rotation(edit.rotation) - normalized_rotation(original.get('rotation', 0))) > 0.01
text_style_changed = edit.type == 'text' and (edit.text != original['text'] or edit.color != original['color'] or edit.bold != original['bold'] or (edit.italic != original['italic']) or (abs(edit.fontSize - original['fontSize']) > 0.01) or (edit.fontFamily != original.get('fontFamily', 'original')) or rotation_changed)
changed = edit.deleted or geometry_changed or text_style_changed
if changed:
if edit.type == 'image':
if group:
grouped_image_edits.append((edit, group))
continue
image_edits[obj_id] = edit
continue
if original.get('isBackgroundText') and original.get('source') == 'ocr':
image_id = str(original.get('backgroundImageId', ''))
background_image = source_by_id.get(image_id)
if not background_image or background_image.get('type') != 'image' or (not background_image.get('isBackground')) or (background_image.get('page') != edit.page) or (int(background_image.get('imageXref', 0) or 0) <= 0):
raise HTTPException(status_code=409, detail='This scanned background text has no independently editable image layer')
background_raster_text_edits.setdefault(image_id, []).append((edit, original))
continue
if original.get('isBackgroundText') and original.get('source') == 'native':
raise HTTPException(status_code=409, detail='Covered native PDF text cannot be safely rewritten as a separate layer. Scanned background text and background images can be edited independently.')
if group:
rect = fitz.Rect(original['x'] + group['dx'] - 0.6, original['y'] + group['dy'] - 0.6, original['x'] + group['dx'] + original['width'] + 0.6, original['y'] + group['dy'] + original['height'] + 0.6)
preserve_shape = geometry_changed and (not text_style_changed) and (not edit.deleted) and (abs(edit.width - original['width']) <= 0.01) and (abs(edit.height - original['height']) <= 0.01)
grouped_text_edits.append((edit, group, rect, preserve_shape))
continue
rect = fitz.Rect(original['x'] - 0.6, original['y'] - 0.6, original['x'] + original['width'] + 0.6, original['y'] + original['height'] + 0.6)
background = sample_background_color(pdf[edit.page], rect)
pdf[edit.page].add_redact_annot(rect, fill=background, cross_out=False)
annotated_pages.add(edit.page)
preserve_shape = geometry_changed and (not text_style_changed) and (not edit.deleted) and (abs(edit.width - original['width']) <= 0.01) and (abs(edit.height - original['height']) <= 0.01)
if preserve_shape:
source_rect = fitz.Rect(original['x'] - 0.1, original['y'] - 0.1, original['x'] + original['width'] + 0.1, original['y'] + original['height'] + 0.1)
target_rect = fitz.Rect(edit.x - 0.1, edit.y - 0.1, edit.x + edit.width + 0.1, edit.y + edit.height + 0.1)
exact_move_clips.append((edit, source_rect, target_rect))
elif not edit.deleted and edit.text:
replacements.append(edit)
for group in table_groups:
edit, source_rect = (group['edit'], group['sourceRect'])
if page_filter is not None and edit.page != page_filter:
continue
if abs(group['dx']) < 0.01 and abs(group['dy']) < 0.01:
continue
background = sample_background_color(pdf[edit.page], source_rect)
pdf[edit.page].add_redact_annot(source_rect, fill=background, cross_out=False)
annotated_pages.add(edit.page)
direct_image_xrefs: set[int] = set()
background_image_overrides: dict[str, bytes] = {}
for obj_id, edit in list(image_edits.items()):
original = source_by_id[obj_id]
xref = int(original.get('imageXref', 0) or 0)
if xref <= 0:
rect = fitz.Rect(original['x'] - 0.6, original['y'] - 0.6, original['x'] + original['width'] + 0.6, original['y'] + original['height'] + 0.6)
background = sample_background_color(pdf[edit.page], rect)
pdf[edit.page].add_redact_annot(rect, fill=background, cross_out=False)
annotated_pages.add(edit.page)
if not edit.deleted:
image_fallbacks.append(edit)
continue
if xref in direct_image_xrefs:
continue
try:
pdf[edit.page].delete_image(xref)
direct_image_xrefs.add(xref)
except Exception:
rect = fitz.Rect(original['x'] - 0.6, original['y'] - 0.6, original['x'] + original['width'] + 0.6, original['y'] + original['height'] + 0.6)
background = sample_background_color(pdf[edit.page], rect)
pdf[edit.page].add_redact_annot(rect, fill=background, cross_out=False)
annotated_pages.add(edit.page)
if not edit.deleted:
image_fallbacks.append(edit)
for image_id, edits in background_raster_text_edits.items():
image_object = source_by_id[image_id]
background_image_overrides[image_id] = patch_background_raster_text(folder, image_object, edits, source_by_id)
xref = int(image_object.get('imageXref', 0) or 0)
if xref not in direct_image_xrefs:
try:
pdf[image_object['page']].delete_image(xref)
direct_image_xrefs.add(xref)
except Exception as exc:
raise HTTPException(status_code=409, detail='The background image could not be isolated from foreground content') from exc
for page_index in annotated_pages:
pdf[page_index].apply_redactions(images=fitz.PDF_REDACT_IMAGE_PIXELS)
moved_table_groups = [group for group in table_groups if (page_filter is None or group['edit'].page == page_filter) and (abs(group['dx']) >= 0.01 or abs(group['dy']) >= 0.01)]
grouped_pages: set[int] = set()
if moved_table_groups:
source_pdf = fitz.open(folder / 'original.pdf')
try:
for group in moved_table_groups:
edit = group['edit']
target_rect = fitz.Rect(edit.x, edit.y, edit.x + edit.width, edit.y + edit.height)
pdf[edit.page].show_pdf_page(target_rect, source_pdf, edit.page, clip=group['sourceRect'], keep_proportion=False, overlay=True)
grouped_pages.add(edit.page)
finally:
source_pdf.close()
for edit, group, rect, preserve_shape in grouped_text_edits:
background = sample_background_color(pdf[edit.page], rect)
pdf[edit.page].add_redact_annot(rect, fill=background, cross_out=False)
grouped_pages.add(edit.page)
if preserve_shape:
original = source_by_id[edit.id]
source_rect = fitz.Rect(original['x'] - 0.1, original['y'] - 0.1, original['x'] + original['width'] + 0.1, original['y'] + original['height'] + 0.1)
target_rect = fitz.Rect(edit.x - 0.1, edit.y - 0.1, edit.x + edit.width + 0.1, edit.y + edit.height + 0.1)
exact_move_clips.append((edit, source_rect, target_rect))
elif not edit.deleted and edit.text:
replacements.append(edit)
for edit, group in grouped_image_edits:
original = source_by_id[edit.id]
rect = fitz.Rect(original['x'] + group['dx'] - 0.6, original['y'] + group['dy'] - 0.6, original['x'] + group['dx'] + original['width'] + 0.6, original['y'] + group['dy'] + original['height'] + 0.6)
background = sample_background_color(pdf[edit.page], rect)
pdf[edit.page].add_redact_annot(rect, fill=background, cross_out=False)
grouped_pages.add(edit.page)
if not edit.deleted:
image_fallbacks.append(edit)
for page_index in grouped_pages:
pdf[page_index].apply_redactions(images=fitz.PDF_REDACT_IMAGE_PIXELS)
if exact_move_clips:
source_pdf = fitz.open(folder / 'original.pdf')
try:
for edit, source_rect, target_rect in exact_move_clips:
pdf[edit.page].show_pdf_page(target_rect, source_pdf, edit.page, clip=source_rect, keep_proportion=False, overlay=True)
finally:
source_pdf.close()
if direct_image_xrefs:
for sibling in source_model['objects']:
xref = int(sibling.get('imageXref', 0) or 0)
if sibling.get('type') != 'image' or xref not in direct_image_xrefs:
continue
sibling_edit = requested_by_id[sibling['id']]
edit_is_in_scope = page_filter is None or sibling['page'] == page_filter
changed_image = sibling['id'] in image_edits and edit_is_in_scope
if changed_image and sibling_edit.deleted:
continue
image_id = sibling.get('assetId', '')
extension = sibling.get('assetExt', '')
if not re.fullmatch('[0-9a-f]{32}', image_id) or not re.fullmatch('[a-z0-9]{1,8}', extension):
raise HTTPException(status_code=400, detail='The source image asset is invalid')
image_path = folder / 'images' / f'{image_id}.{extension}'
if not image_path.is_file():
raise HTTPException(status_code=400, detail='The source image asset is missing')
if changed_image:
rect = fitz.Rect(sibling_edit.x, sibling_edit.y, sibling_edit.x + sibling_edit.width, sibling_edit.y + sibling_edit.height)
else:
rect = fitz.Rect(sibling['x'], sibling['y'], sibling['x'] + sibling['width'], sibling['y'] + sibling['height'])
if sibling['id'] in background_image_overrides and edit_is_in_scope:
pdf[sibling['page']].insert_image(rect, stream=background_image_overrides[sibling['id']], keep_proportion=False, overlay=False)
else:
pdf[sibling['page']].insert_image(rect, filename=str(image_path), keep_proportion=False, overlay=not bool(sibling.get('isBackground')))
for edit in replacements:
page = pdf[edit.page]
font_name, font_file = insertion_font(edit, source_by_id[edit.id], folder)
color = tuple((int(edit.color[i:i + 2], 16) / 255 for i in (1, 3, 5)))
insert_editor_text(page, edit, font_name, font_file, color, overlay=True)
for edit in image_fallbacks:
original = source_by_id[edit.id]
asset_id = original.get('assetId', '')
extension = original.get('assetExt', '')
if not re.fullmatch('[0-9a-f]{32}', asset_id) or not re.fullmatch('[a-z0-9]{1,8}', extension):
raise HTTPException(status_code=400, detail='The source image asset is invalid')
image_path = folder / 'images' / f'{asset_id}.{extension}'
if not image_path.is_file():
raise HTTPException(status_code=400, detail='The source image asset is missing')
image_rect = fitz.Rect(edit.x, edit.y, edit.x + edit.width, edit.y + edit.height)
pdf[edit.page].insert_image(image_rect, filename=str(image_path), keep_proportion=False, overlay=not bool(original.get('isBackground')))
for edit in new_texts:
font_name, font_file = insertion_font(edit, {}, folder)
color = tuple((int(edit.color[index:index + 2], 16) / 255 for index in (1, 3, 5)))
insert_editor_text(pdf[edit.page], edit, font_name, font_file, color, overlay=not edit.isBackground)
for edit in new_images:
asset_id, extension = (str(edit.assetId or ''), str(edit.assetExt or ''))
if not re.fullmatch('[0-9a-f]{32}', asset_id) or not re.fullmatch('png|jpe?g|webp', extension):
raise HTTPException(status_code=400, detail='The inserted image asset is invalid')
image_path = folder / 'images' / f'{asset_id}.{extension}'
if not image_path.is_file():
raise HTTPException(status_code=400, detail='The inserted image asset is missing')
pdf[edit.page].insert_image(fitz.Rect(edit.x, edit.y, edit.x + edit.width, edit.y + edit.height), filename=str(image_path), keep_proportion=False, overlay=not edit.isBackground)
def export_pdf(document_id: str, request: ExportRequest) -> Path:
folder = document_dir(document_id)
model_path = folder / 'document.json'
source_model = json.loads(model_path.read_text(encoding='utf-8'))
pdf = fitz.open(folder / 'original.pdf')
try:
apply_editor_changes(pdf, folder, source_model, request)
output_path = folder / 'edited.pdf'
pdf.save(output_path, garbage=4, deflate=True)
finally:
pdf.close()
return FileResponse(output_path, media_type='application/pdf', filename=f'{safe_stem}-edited.pdf')