From a5505c1fbbc9ebfcfb8a8f08d97f7dd2d9d0d3c7 Mon Sep 17 00:00:00 2001 From: Alex-Gilbert Date: Wed, 18 Feb 2026 10:35:42 -0600 Subject: [PATCH] attempting to make redaction guessing better --- .gitignore | 1 + Makefile | 21 +- redactions.json | 329 + scripts/capture_llm_fixture.py | 136 + tests/fixtures/EFTA00554620_ground_truth.json | 329 + tests/fixtures/EFTA00554620_page1.json | 11585 ++++++++++++++++ tests/fixtures/EFTA00554620_page1.png | Bin 0 -> 966880 bytes tests/fixtures/EFTA00554620_page2.json | 6082 ++++++++ tests/test_font_detect_real.py | 147 + tests/test_pipeline_ground_truth.py | 121 + tests/test_pixel_full_search.py | 8 +- unredact/app.py | 26 +- unredact/pipeline/analyze_page.py | 4 + unredact/pipeline/font_detect.py | 177 +- unredact/pipeline/llm_detect.py | 6 +- unredact/static/canvas.js | 107 +- unredact/static/main.js | 90 + 17 files changed, 19103 insertions(+), 66 deletions(-) create mode 100644 redactions.json create mode 100644 scripts/capture_llm_fixture.py create mode 100644 tests/fixtures/EFTA00554620_ground_truth.json create mode 100644 tests/fixtures/EFTA00554620_page1.json create mode 100644 tests/fixtures/EFTA00554620_page1.png create mode 100644 tests/fixtures/EFTA00554620_page2.json create mode 100644 tests/test_font_detect_real.py create mode 100644 tests/test_pipeline_ground_truth.py diff --git a/.gitignore b/.gitignore index 4a293d8..9230927 100644 --- a/.gitignore +++ b/.gitignore @@ -6,5 +6,6 @@ dist/ build/ .worktrees/ .pids/ +.env solver_rs/target/ scripts/.cache/ diff --git a/Makefile b/Makefile index a0685c3..ce9f5e9 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: build build-solver run stop restart solver app logs status clean dev kill build-associates build-emails +.PHONY: build build-solver run stop restart solver app logs status clean dev kill build-associates build-emails check-api-key SOLVER_BIN = solver_rs/target/release/unredact-solver SOLVER_PORT ?= 3100 @@ -9,6 +9,10 @@ VENV = .venv/bin PYTHON = $(VENV)/python UVICORN = $(VENV)/uvicorn +# Load .env if it exists +-include .env +export ANTHROPIC_API_KEY + $(PID_DIR): mkdir -p $(PID_DIR) @@ -19,6 +23,17 @@ build-solver: build: build-solver +# ── API key ── + +check-api-key: + @if [ -z "$(ANTHROPIC_API_KEY)" ]; then \ + printf "Enter your Anthropic API key (from console.anthropic.com): "; \ + read key; \ + echo "ANTHROPIC_API_KEY=$$key" > .env; \ + echo "Saved to .env — run make again."; \ + exit 1; \ + fi + # ── Run (background, use `make logs` to see output) ── solver: $(PID_DIR) build-solver @@ -37,7 +52,7 @@ solver: $(PID_DIR) build-solver fi \ fi -app: $(PID_DIR) solver +app: check-api-key $(PID_DIR) solver @if [ -f $(PID_DIR)/app.pid ] && kill -0 $$(cat $(PID_DIR)/app.pid) 2>/dev/null; then \ echo "App already running (pid $$(cat $(PID_DIR)/app.pid))"; \ else \ @@ -56,7 +71,7 @@ app: $(PID_DIR) solver # ── Run with live logs (foreground, Ctrl-C stops everything) ── -run: $(PID_DIR) build-solver +run: check-api-key $(PID_DIR) build-solver @SOLVER_PORT=$(SOLVER_PORT) DATA_DIR=$(DATA_DIR) $(SOLVER_BIN) > $(PID_DIR)/solver.log 2>&1 & \ echo $$! > $(PID_DIR)/solver.pid; \ sleep 0.5; \ diff --git a/redactions.json b/redactions.json new file mode 100644 index 0000000..22222db --- /dev/null +++ b/redactions.json @@ -0,0 +1,329 @@ +{ + "docId": "daec25840655", + "pageCount": 2, + "pages": { + "1": [ + { + "id": "5e276b48", + "x": 757, + "y": 741, + "w": 401, + "h": 52, + "status": "analyzed", + "overrides": { + "fontId": "times-new-roman", + "fontSize": 50, + "offsetX": -3, + "offsetY": 6, + "gapWidth": 402, + "leftText": "On Aug 27, 2012, at 2:02 PM, ", + "rightText": " wrote:" + }, + "analysis": { + "font": { + "name": "Times New Roman", + "id": "times-new-roman", + "size": 50, + "score": 0.6055935578837994 + }, + "gap": { + "x": 757, + "w": 401 + }, + "line": { + "x": 141, + "y": 739, + "w": 1154, + "h": 57, + "text": "On Aug 27, 2012, at 2:02 PM, — wrote:" + }, + "segments": [ + { + "text": "On Aug 27, 2012, at 2:02 PM," + }, + { + "text": "wrote:" + } + ], + "offset_x": -1, + "offset_y": 0 + } + }, + { + "id": "2b001506", + "x": 393, + "y": 903, + "w": 64, + "h": 52, + "status": "analyzed", + "overrides": { + "fontId": "times-new-roman", + "fontSize": 50, + "offsetX": -4, + "offsetY": 11, + "gapWidth": 64, + "leftText": "Got it. 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1] + print(f"Page {page_num}: {page_img.size}", file=sys.stderr) + + print("Running OCR...", file=sys.stderr) + lines = ocr_page(page_img) + print(f"Found {len(lines)} lines", file=sys.stderr) + + prompt = _build_prompt(lines) + print(f"Prompt length: {len(prompt)} chars", file=sys.stderr) + + model = os.environ.get("UNREDACT_LLM_MODEL", "claude-haiku-4-5-20251001") + print(f"Calling {model}...", file=sys.stderr) + + client = _get_client() + response = await client.messages.create( + model=model, + max_tokens=2048, + tools=[_TOOL], + tool_choice={"type": "tool", "name": "report_redactions"}, + messages=[{"role": "user", "content": prompt}], + ) + + # Extract tool_use block + tool_input = None + for block in response.content: + if block.type == "tool_use" and block.name == "report_redactions": + tool_input = block.input + break + + if tool_input is None: + print("ERROR: No tool_use block in response", file=sys.stderr) + sys.exit(1) + + # Parse redactions + redactions = _parse_response(tool_input, lines) + + print(f"LLM found {len(tool_input['redactions'])} redactions", file=sys.stderr) + print(f"Parsed to {len(redactions)} with valid positions", file=sys.stderr) + + # Dump fixture + fixture = { + "source_pdf": pdf_path.name, + "page": page_num, + "ocr_lines": serialize_ocr_lines(lines), + "llm_prompt": prompt, + "llm_tool_input": tool_input, + "llm_redactions": [ + { + "line_index": r.line_index, + "left_word": r.left_word, + "right_word": r.right_word, + "left_x": r.left_x, + "right_x": r.right_x, + "line_y": r.line_y, + "line_h": r.line_h, + } + for r in redactions + ], + } + + json.dump(fixture, sys.stdout, indent=2) + print(file=sys.stderr) + print("Done!", file=sys.stderr) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/tests/fixtures/EFTA00554620_ground_truth.json b/tests/fixtures/EFTA00554620_ground_truth.json new file mode 100644 index 0000000..22222db --- /dev/null +++ b/tests/fixtures/EFTA00554620_ground_truth.json @@ -0,0 +1,329 @@ +{ + "docId": "daec25840655", + "pageCount": 2, + "pages": { + "1": [ + { + "id": "5e276b48", + "x": 757, + "y": 741, + "w": 401, + "h": 52, + "status": "analyzed", + "overrides": { + "fontId": "times-new-roman", + "fontSize": 50, + "offsetX": -3, + "offsetY": 6, + "gapWidth": 402, + "leftText": "On Aug 27, 2012, at 2:02 PM, ", + "rightText": " wrote:" + }, + "analysis": { + "font": { + "name": "Times New Roman", + "id": "times-new-roman", + "size": 50, + "score": 0.6055935578837994 + }, + "gap": { + "x": 757, + "w": 401 + }, + "line": { + "x": 141, + "y": 739, + "w": 1154, + "h": 57, + "text": "On Aug 27, 2012, at 2:02 PM, — wrote:" + }, + "segments": [ + { + "text": "On Aug 27, 2012, at 2:02 PM," + }, + { + "text": "wrote:" + } + ], + "offset_x": -1, + "offset_y": 0 + } + }, + { + "id": "2b001506", + "x": 393, + "y": 903, + "w": 64, + "h": 52, + "status": "analyzed", + "overrides": { + "fontId": "times-new-roman", + "fontSize": 50, + "offsetX": -4, + "offsetY": 11, + "gapWidth": 64, + "leftText": "Got it. 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"conf": 93.0 + }, + { + "text": "r", + "x": 1193, + "y": 1192, + "w": 20, + "h": 36, + "conf": 93.0 + }, + { + "text": "v", + "x": 1214, + "y": 1192, + "w": 20, + "h": 36, + "conf": 93.0 + }, + { + "text": "e", + "x": 1235, + "y": 1192, + "w": 20, + "h": 36, + "conf": 93.0 + }, + { + "text": "d", + "x": 1256, + "y": 1192, + "w": 20, + "h": 36, + "conf": 93.0 + } + ], + "x": 173, + "y": 1192, + "w": 1103, + "h": 47, + "text": "including all attachments. copyright -all rights reserved" + }, + { + "chars": [ + { + "text": "E", + "x": 2174, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "F", + "x": 2202, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "T", + "x": 2230, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "A", + "x": 2258, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "0", + "x": 2286, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "0", + "x": 2314, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "5", + "x": 2342, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "5", + "x": 2370, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "4", + "x": 2398, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "6", + "x": 2426, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "2", + "x": 2454, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + }, + { + "text": "1", + "x": 2482, + "y": 3308, + "w": 28, + "h": 38, + "conf": 85.0 + } + ], + "x": 2174, + "y": 3308, + "w": 336, + "h": 38, + "text": "EFTA00554621" + } + ], + "llm_tool_input": { + "redactions": [ + { + "line_index": 1, + "left_word": "francis", + "right_word": "" + }, + { + "line_index": 4, + "left_word": "", + "right_word": "" + } + ] + }, + "llm_redactions": [ + { + "line_index": 1, + "left_word": "francis", + "right_word": "", + "left_x": 387, + "right_x": 975, + "line_y": 132, + "line_h": 99 + }, + { + "line_index": 4, + "left_word": "", + "right_word": "", + "left_x": 174, + "right_x": 1642, + "line_y": 514, + "line_h": 33 + } + ] +} \ No newline at end of file diff --git a/tests/test_font_detect_real.py b/tests/test_font_detect_real.py new file mode 100644 index 0000000..8e7b8f0 --- /dev/null +++ b/tests/test_font_detect_real.py @@ -0,0 +1,147 @@ +"""Font detection tests using real document data. + +Uses captured OCR + LLM fixtures from EFTA00554620.pdf to verify that +font detection returns Times New Roman (or Liberation Serif) at ~50px +for the body text. +""" + +import json +from pathlib import Path + +import numpy as np +import pytest +from PIL import Image + +from unredact.pipeline.font_detect import ( + detect_font_for_line, + detect_font_masked, + _find_font_path, +) +from unredact.pipeline.ocr import OcrChar, OcrLine + +FIXTURES = Path(__file__).parent / "fixtures" +PAGE1_JSON = FIXTURES / "EFTA00554620_page1.json" +PAGE1_PNG = FIXTURES / "EFTA00554620_page1.png" + + +def _load_fixture(): + """Load OCR lines from the JSON fixture as OcrLine objects.""" + data = json.loads(PAGE1_JSON.read_text()) + lines = [] + for ld in data["ocr_lines"]: + chars = [ + OcrChar(text=c["text"], x=c["x"], y=c["y"], w=c["w"], h=c["h"], conf=c["conf"]) + for c in ld["chars"] + ] + lines.append(OcrLine(chars=chars, x=ld["x"], y=ld["y"], w=ld["w"], h=ld["h"])) + return data, lines + + +def _load_page_image(): + return Image.open(PAGE1_PNG) + + +def _is_serif(name: str) -> bool: + """Check if the font name is a serif font.""" + return any(s in name for s in ("Times", "Liberation Serif", "Georgia", "DejaVu Serif")) + + +# Skip all tests if fixtures missing +pytestmark = pytest.mark.skipif( + not PAGE1_JSON.exists() or not PAGE1_PNG.exists(), + reason="Real document fixtures not available", +) + + +class TestCleanLines: + """Font detection on lines without redactions.""" + + def test_date_line(self): + """Line 3: 'Date: Mon, 27 Aug 2012 18:57:08 +0000'""" + data, lines = _load_fixture() + page_img = _load_page_image() + line = lines[3] + result = detect_font_for_line(line, page_img) + assert _is_serif(result.font_name), f"Expected serif, got {result.font_name}" + assert 45 <= result.font_size <= 55, f"Expected ~50px, got {result.font_size}" + + def test_body_text_line(self): + """Line 10: 'I need to know if he's out of jerky...'""" + data, lines = _load_fixture() + page_img = _load_page_image() + line = lines[10] + result = detect_font_for_line(line, page_img) + assert _is_serif(result.font_name), f"Expected serif, got {result.font_name}" + assert 45 <= result.font_size <= 55, f"Expected ~50px, got {result.font_size}" + + def test_short_clean_line(self): + """Line 5: 'through it like crazy'""" + data, lines = _load_fixture() + page_img = _load_page_image() + line = lines[5] + result = detect_font_for_line(line, page_img) + assert _is_serif(result.font_name), f"Expected serif, got {result.font_name}" + assert 45 <= result.font_size <= 55, f"Expected ~50px, got {result.font_size}" + + +class TestMaskedLines: + """Font detection on lines with redactions, using LLM output.""" + + def _get_redaction_boxes_for_line(self, data, line_index): + """Get approximate redaction boxes from LLM output for a given line.""" + boxes = [] + for r in data["llm_redactions"]: + if r["line_index"] == line_index: + line_data = data["ocr_lines"][line_index] + # Use LLM's x range as the redaction box + x = r["left_x"] + w = r["right_x"] - r["left_x"] + y = line_data["y"] + h = line_data["h"] + if w > 0: + boxes.append((x, y, w, h)) + return boxes + + def test_got_it_sent_line(self): + """Line 7: 'Got it. Sent[ an email.' — the screenshot case.""" + data, lines = _load_fixture() + page_img = _load_page_image() + line = lines[7] + boxes = self._get_redaction_boxes_for_line(data, 7) + assert len(boxes) > 0, "Expected redaction boxes for line 7" + result = detect_font_masked(line, page_img, boxes) + assert _is_serif(result.font_name), f"Expected serif, got {result.font_name}" + assert 45 <= result.font_size <= 55, f"Expected ~50px, got {result.font_size}" + + def test_from_line_with_redaction(self): + """Line 0: 'From: |-' — redacted email address.""" + data, lines = _load_fixture() + page_img = _load_page_image() + line = lines[0] + boxes = self._get_redaction_boxes_for_line(data, 0) + assert len(boxes) > 0, "Expected redaction boxes for line 0" + result = detect_font_masked(line, page_img, boxes) + assert _is_serif(result.font_name), f"Expected serif, got {result.font_name}" + assert 45 <= result.font_size <= 55, f"Expected ~50px, got {result.font_size}" + + def test_on_aug_line(self): + """Line 6: 'On Aug 27, 2012, at 2:02 PM, — wrote:' — redacted name.""" + data, lines = _load_fixture() + page_img = _load_page_image() + line = lines[6] + boxes = self._get_redaction_boxes_for_line(data, 6) + assert len(boxes) > 0, "Expected redaction boxes for line 6" + result = detect_font_masked(line, page_img, boxes) + assert _is_serif(result.font_name), f"Expected serif, got {result.font_name}" + assert 45 <= result.font_size <= 55, f"Expected ~50px, got {result.font_size}" + + def test_let_or_know_line(self): + """Line 19: multiple redactions — 'let ]l or ] know what to do...'""" + data, lines = _load_fixture() + page_img = _load_page_image() + line = lines[19] + boxes = self._get_redaction_boxes_for_line(data, 19) + assert len(boxes) >= 2, f"Expected multiple redaction boxes, got {len(boxes)}" + result = detect_font_masked(line, page_img, boxes) + assert _is_serif(result.font_name), f"Expected serif, got {result.font_name}" + assert 45 <= result.font_size <= 55, f"Expected ~50px, got {result.font_size}" diff --git a/tests/test_pipeline_ground_truth.py b/tests/test_pipeline_ground_truth.py new file mode 100644 index 0000000..ac46a1e --- /dev/null +++ b/tests/test_pipeline_ground_truth.py @@ -0,0 +1,121 @@ +"""Pipeline tests against hand-annotated ground truth. + +Uses EFTA00554620 page 1 ground truth (header lines excluded). +Validates that the pipeline produces correct bounding boxes, font +detection, and text segmentation for body-text redactions. +""" + +import json +from pathlib import Path + +import pytest +from PIL import Image + +from unredact.pipeline.ocr import OcrChar, OcrLine +from unredact.pipeline.font_detect import detect_font_masked, _find_font_path +from unredact.pipeline.detect_redactions import find_redaction_in_region + +FIXTURES = Path(__file__).parent / "fixtures" +GROUND_TRUTH = FIXTURES / "EFTA00554620_ground_truth.json" +PAGE1_JSON = FIXTURES / "EFTA00554620_page1.json" +PAGE1_PNG = FIXTURES / "EFTA00554620_page1.png" + +pytestmark = pytest.mark.skipif( + not all(p.exists() for p in [GROUND_TRUTH, PAGE1_JSON, PAGE1_PNG]), + reason="Fixtures not available", +) + + +def _load_ground_truth_page1(): + data = json.loads(GROUND_TRUTH.read_text()) + return data["pages"]["1"] + + +def _load_ocr_lines(): + data = json.loads(PAGE1_JSON.read_text()) + lines = [] + for ld in data["ocr_lines"]: + chars = [ + OcrChar(text=c["text"], x=c["x"], y=c["y"], w=c["w"], h=c["h"], conf=c["conf"]) + for c in ld["chars"] + ] + lines.append(OcrLine(chars=chars, x=ld["x"], y=ld["y"], w=ld["w"], h=ld["h"])) + return data, lines + + +def _load_page_image(): + return Image.open(PAGE1_PNG) + + +class TestBoundingBoxes: + """Verify that guided OpenCV finds boxes matching ground truth.""" + + @pytest.fixture + def page_img(self): + return _load_page_image() + + @pytest.fixture + def ground_truth(self): + return _load_ground_truth_page1() + + @pytest.mark.parametrize("idx", range(6)) + def test_box_detection(self, page_img, ground_truth, idx): + gt = ground_truth[idx] + # Search in a generous region around the ground truth box + pad = gt["h"] + box = find_redaction_in_region( + page_img, + gt["x"], gt["y"], + gt["x"] + gt["w"], gt["y"] + gt["h"], + padding=pad, + ) + assert box is not None, f"No box found for redaction at ({gt['x']}, {gt['y']})" + # Box should be close to ground truth (within 15px on each edge) + assert abs(box.x - gt["x"]) < 15, f"x off: {box.x} vs {gt['x']}" + assert abs(box.y - gt["y"]) < 15, f"y off: {box.y} vs {gt['y']}" + assert abs(box.w - gt["w"]) < 30, f"w off: {box.w} vs {gt['w']}" + assert abs(box.h - gt["h"]) < 15, f"h off: {box.h} vs {gt['h']}" + + +class TestFontDetection: + """Verify font detection matches ground truth on redacted lines.""" + + @pytest.fixture + def page_img(self): + return _load_page_image() + + @pytest.fixture + def ocr_data(self): + return _load_ocr_lines() + + @pytest.fixture + def ground_truth(self): + return _load_ground_truth_page1() + + def _find_ocr_line_for_gt(self, lines, gt): + """Find the OCR line that contains this ground truth redaction.""" + gy = gt["y"] + gt["h"] / 2 + for line in lines: + if line.y <= gy <= line.y + line.h: + return line + return None + + @pytest.mark.parametrize("idx", range(6)) + def test_font_match(self, page_img, ocr_data, ground_truth, idx): + gt = ground_truth[idx] + expected_font = gt["overrides"]["fontId"] + expected_size = gt["overrides"]["fontSize"] + _, lines = ocr_data + + line = self._find_ocr_line_for_gt(lines, gt) + assert line is not None, f"No OCR line found for redaction at y={gt['y']}" + + boxes = [(gt["x"], gt["y"], gt["w"], gt["h"])] + result = detect_font_masked(line, page_img, boxes) + + # Font family should be serif (TNR or Liberation Serif) + is_serif = any(s in result.font_name for s in ("Times", "Liberation Serif", "Georgia", "DejaVu Serif")) + assert is_serif, f"Expected serif font, got {result.font_name}" + assert abs(result.font_size - expected_size) <= 5, ( + f"Expected size ~{expected_size}, got {result.font_size}" + ) diff --git a/tests/test_pixel_full_search.py b/tests/test_pixel_full_search.py index 2f74e90..3caced9 100644 --- a/tests/test_pixel_full_search.py +++ b/tests/test_pixel_full_search.py @@ -2,7 +2,7 @@ import numpy as np from PIL import Image, ImageDraw, ImageFont -from unredact.pipeline.font_detect import _find_font_path, _full_search +from unredact.pipeline.font_detect import _find_font_path, _full_search, _score_font_line_pixel from unredact.pipeline.ocr import OcrChar, OcrLine @@ -61,7 +61,8 @@ def test_full_search_finds_correct_serif(): text = "Got it. Sent an email." line, crop = _make_line_and_crop("Times New Roman", 50, text) - best = _full_search(line, crop) + scorer = lambda font: _score_font_line_pixel(font, line, crop) + best = _full_search(line.h, scorer) assert best is not None assert "Times" in best.font_name or "Liberation Serif" in best.font_name, ( f"Expected serif font, got {best.font_name}" @@ -76,7 +77,8 @@ def test_full_search_finds_correct_sans(): text = "The quick brown fox jumps." line, crop = _make_line_and_crop("Arial", 44, text) - best = _full_search(line, crop) + scorer = lambda font: _score_font_line_pixel(font, line, crop) + best = _full_search(line.h, scorer) assert best is not None assert "Arial" in best.font_name or "Liberation Sans" in best.font_name, ( f"Expected sans-serif font, got {best.font_name}" diff --git a/unredact/app.py b/unredact/app.py index 27ffd56..12ac774 100644 --- a/unredact/app.py +++ b/unredact/app.py @@ -19,6 +19,7 @@ from sse_starlette.sse import EventSourceResponse from unredact.pipeline.rasterize import rasterize_pdf from unredact.pipeline.font_detect import CANDIDATE_FONTS, _find_font_path from unredact.pipeline.analyze_page import analyze_page +from unredact.pipeline.detect_redactions import spot_redaction from unredact.pipeline.solver import build_constraint, SolveResult from unredact.pipeline.dictionary import DictionaryStore, solve_dictionary from unredact.pipeline.word_filter import _get_emails @@ -135,7 +136,16 @@ async def analyze_doc(doc_id: str): async def event_generator(): for page_num, pd in doc["pages"].items(): page_img = pd["original"] - analysis = await analyze_page(page_img) + try: + analysis = await analyze_page(page_img) + except Exception as exc: + yield json.dumps({ + "event": "error", + "page": page_num, + "message": str(exc), + }) + continue + pd["analysis"] = analysis redactions_json = [] @@ -454,6 +464,20 @@ async def get_associates(): return _get_associates() +@app.post("/api/doc/{doc_id}/page/{page}/spot") +async def spot(doc_id: str, page: int, data: dict): + doc = _docs.get(doc_id) + if not doc or page not in doc["pages"]: + return JSONResponse({"error": "not found"}, status_code=404) + click_x = int(data["x"]) + click_y = int(data["y"]) + page_img = doc["pages"][page]["original"] + result = spot_redaction(page_img, click_x, click_y) + if result is None: + return JSONResponse({"error": "no redaction found"}, status_code=404) + return {"id": result.id, "x": result.x, "y": result.y, "w": result.w, "h": result.h} + + # Static files mount MUST be after all route definitions if STATIC_DIR.exists(): app.mount("/static", StaticFiles(directory=str(STATIC_DIR), html=True), name="static") diff --git a/unredact/pipeline/analyze_page.py b/unredact/pipeline/analyze_page.py index cf397ee..ad65a34 100644 --- a/unredact/pipeline/analyze_page.py +++ b/unredact/pipeline/analyze_page.py @@ -88,6 +88,9 @@ async def analyze_page( # LlmRedaction to Redaction box (or None if not found). llm_to_box: dict[int, Redaction | None] = {} for i, llm_red in enumerate(llm_redactions): + # Use line height as padding — OCR positions near redactions are + # unreliable because artifacts compress the visual gap. + pad = llm_red.line_h box = await asyncio.to_thread( find_redaction_in_region, page_image, @@ -95,6 +98,7 @@ async def analyze_page( llm_red.line_y, llm_red.right_x, llm_red.line_y + llm_red.line_h, + pad, ) llm_to_box[i] = box diff --git a/unredact/pipeline/font_detect.py b/unredact/pipeline/font_detect.py index 7e96a80..31bcb83 100644 --- a/unredact/pipeline/font_detect.py +++ b/unredact/pipeline/font_detect.py @@ -1,11 +1,12 @@ from dataclasses import dataclass from functools import lru_cache from pathlib import Path +from typing import Callable import numpy as np from PIL import Image, ImageDraw, ImageFont -from unredact.pipeline.ocr import OcrLine +from unredact.pipeline.ocr import OcrChar, OcrLine # Candidate fonts to test (common document fonts available on the system) CANDIDATE_FONTS: list[str] = [ @@ -202,14 +203,21 @@ def align_text_to_page( return (-best_dx, -best_dy) -def _full_search(line: OcrLine, line_crop: np.ndarray) -> FontMatch | None: - """Full search across all candidate fonts and sizes for one line.""" +def _full_search( + line_h: int, + scorer: Callable[[ImageFont.FreeTypeFont], float], +) -> FontMatch | None: + """Full search across all candidate fonts and sizes. + + Args: + line_h: OCR line height in pixels (used to bound the size search). + scorer: Callable that takes a PIL font and returns a score (0.0–1.0). + """ best: FontMatch | None = None # Constrain size range using the OCR line height. # Pixel scoring has sharp peaks at the exact size, so we scan # every integer size (step=1) instead of using a coarse step. - line_h = line.h min_size = max(12, int(line_h * 0.6)) max_size = min(120, int(line_h * 1.4)) @@ -224,7 +232,7 @@ def _full_search(line: OcrLine, line_crop: np.ndarray) -> FontMatch | None: except Exception: continue - score = _score_font_line_pixel(font, line, line_crop) + score = scorer(font) if best is None or score > best.score: best = FontMatch( @@ -237,7 +245,10 @@ def _full_search(line: OcrLine, line_crop: np.ndarray) -> FontMatch | None: return best -def _fine_search(line: OcrLine, line_crop: np.ndarray, coarse: FontMatch) -> FontMatch: +def _fine_search( + coarse: FontMatch, + scorer: Callable[[ImageFont.FreeTypeFont], float], +) -> FontMatch: """Fine search: ±3 around the coarse best size in steps of 1.""" best = coarse for size in range(max(8, coarse.font_size - 3), coarse.font_size + 4): @@ -247,7 +258,7 @@ def _fine_search(line: OcrLine, line_crop: np.ndarray, coarse: FontMatch) -> Fon font = ImageFont.truetype(str(coarse.font_path), size) except Exception: continue - score = _score_font_line_pixel(font, line, line_crop) + score = scorer(font) if score > best.score: best = FontMatch( font_name=coarse.font_name, @@ -268,10 +279,112 @@ def detect_font_for_line_from_crop( (e.g. the non-redacted portion of a line). The line's x/y should be 0,0 (crop-relative coordinates). """ - best = _full_search(line, line_crop) + scorer = lambda font: _score_font_line_pixel(font, line, line_crop) + best = _full_search(line.h, scorer) if best is None: raise RuntimeError("No matching font found. Check system fonts.") - return _fine_search(line, line_crop, best) + return _fine_search(best, scorer) + + +def _filter_clean_chars( + chars: list[OcrChar], + redaction_boxes: list[tuple[int, int, int, int]], +) -> list[OcrChar]: + """Return chars whose center doesn't fall inside any redaction box.""" + clean = [] + for c in chars: + cx = c.x + c.w / 2 + cy = c.y + c.h / 2 + in_box = False + for rx, ry, rw, rh in redaction_boxes: + if rx <= cx <= rx + rw and ry <= cy <= ry + rh: + in_box = True + break + if not in_box: + clean.append(c) + return clean + + +def _group_chars_into_runs(chars: list[OcrChar]) -> list[list[OcrChar]]: + """Group consecutive chars into word-like runs for rendering. + + Chars that are spatially close (same y, adjacent x) are grouped so + they can be rendered as a single string, preserving kerning. + """ + if not chars: + return [] + runs: list[list[OcrChar]] = [] + current = [chars[0]] + for c in chars[1:]: + prev = current[-1] + # Same vertical position and horizontally adjacent (within 5px gap) + if c.y == prev.y and c.x <= prev.x + prev.w + 5: + current.append(c) + else: + runs.append(current) + current = [c] + runs.append(current) + return runs + + +def _score_font_masked_pixel( + font: ImageFont.FreeTypeFont, + char_runs: list[list[OcrChar]], + line_x: int, + line_y: int, + line_crop: np.ndarray, +) -> float: + """Score font by rendering clean char runs at their OCR positions. + + Unlike _score_font_line_pixel which renders the full line text as a + single string, this renders each word-like run at its actual OCR + position. This correctly handles the spatial gap where a redaction + was masked out, preventing: + - OCR artifacts from producing false ink + - Right-side text from rendering at the wrong x position + - Large fonts from getting inflated scores due to canvas overflow + """ + h, w = line_crop.shape + if h < 5 or w < 10: + return 0.0 + + page_bin = line_crop < 128 + page_ink = int(page_bin.sum()) + if page_ink < 10: + return 0.0 + + # Render each run at its OCR position + rendered_img = Image.new("L", (w, h), 255) + draw = ImageDraw.Draw(rendered_img) + + for run in char_runs: + text = "".join(c.text for c in run) + if not text.strip(): + continue + # Crop-relative position of the run's first char + cx = run[0].x - line_x + cy = run[0].y - line_y + bbox = font.getbbox(text) + draw.text((cx - bbox[0], cy - bbox[1]), text, font=font, fill=0) + + rendered_arr = np.array(rendered_img) + rendered_bin = rendered_arr < 128 + + rendered_ink = int(rendered_bin.sum()) + if rendered_ink < 10: + return 0.0 + + # Try small shifts to find best alignment, using Dice coefficient + best_score = 0.0 + total_ink = page_ink + rendered_ink + for dy in range(-3, 4): + for dx in range(-3, 4): + shifted = _shift_2d(rendered_bin, dx, dy) + intersection = int((page_bin & shifted).sum()) + score = 2.0 * intersection / total_ink if total_ink > 0 else 0.0 + if score > best_score: + best_score = score + return best_score def detect_font_masked( @@ -279,13 +392,11 @@ def detect_font_masked( page_image: Image.Image, redaction_boxes: list[tuple[int, int, int, int]], ) -> FontMatch: - """Detect the best font by masking redaction boxes to white before scoring. + """Detect the best font by masking redaction boxes and scoring clean chars. - Instead of cropping just the unredacted portion of a line (which loses - signal from narrow crops and coordinate mismatches), this masks each - redaction box to white (255) in the full line crop. The Dice-based pixel - scoring naturally ignores the masked (white) regions since they contain - no ink pixels. + Masks each redaction box to white in the page crop, then renders only + the non-redacted characters at their OCR positions for scoring. This + ensures the rendered text matches the spatial layout of the page. Args: line: OCR line with page-relative coordinates. @@ -301,33 +412,31 @@ def detect_font_masked( page_image.convert("L").crop((line.x, line.y, line.x + line.w, line.y + line.h)) ) - # 2. Mask each redaction box to white (255) — convert page-relative to crop-relative + # 2. Mask each redaction box to white (255) for rx, ry, rw, rh in redaction_boxes: - # Convert from page coordinates to crop-relative coordinates cx = rx - line.x cy = ry - line.y - - # Clip to the crop bounds x0 = max(0, cx) y0 = max(0, cy) x1 = min(line.w, cx + rw) y1 = min(line.h, cy + rh) - if x0 < x1 and y0 < y1: line_crop[y0:y1, x0:x1] = 255 - # 3. Create a scoring line with crop-relative coordinates (x=0, y=0) - scoring_line = OcrLine( - chars=line.chars, - x=0, y=0, - w=line.w, h=line.h, - ) + # 3. Filter out chars in redaction zones, group into runs + clean_chars = _filter_clean_chars(line.chars, redaction_boxes) + if not clean_chars: + raise RuntimeError("No clean chars outside redaction boxes.") + char_runs = _group_chars_into_runs(clean_chars) - # 4. Full search then fine search - best = _full_search(scoring_line, line_crop) + # 4. Search using position-aware masked scoring + scorer = lambda font: _score_font_masked_pixel( + font, char_runs, line.x, line.y, line_crop, + ) + best = _full_search(line.h, scorer) if best is None: raise RuntimeError("No matching font found. Check system fonts.") - return _fine_search(scoring_line, line_crop, best) + return _fine_search(best, scorer) def detect_font_for_line( @@ -352,6 +461,8 @@ def detect_font_for_line( w=line.w, h=line.h, ) + scorer = lambda font: _score_font_line_pixel(font, scoring_line, line_crop) + # Lines with too few characters can't be scored reliably if len(line.text.strip()) < 3: if prior is not None: @@ -363,24 +474,24 @@ def detect_font_for_line( if prior is not None: try: prior_font = prior.to_pil_font() - prior_score = _score_font_line_pixel(prior_font, scoring_line, line_crop) + prior_score = scorer(prior_font) except Exception: pass # Full search - best = _full_search(scoring_line, line_crop) + best = _full_search(line.h, scorer) if best is None: if prior is not None: return prior raise RuntimeError("No matching font found. Check system fonts.") # Fine-tune the full search winner - best = _fine_search(scoring_line, line_crop, best) + best = _fine_search(best, scorer) # If we have a prior and it's close enough, prefer it for consistency if prior is not None and prior_score >= best.score * (1.0 / PRIOR_BIAS): # Fine-tune the prior too - return _fine_search(scoring_line, line_crop, prior) + return _fine_search(prior, scorer) return best diff --git a/unredact/pipeline/llm_detect.py b/unredact/pipeline/llm_detect.py index e76e0b3..d30a151 100644 --- a/unredact/pipeline/llm_detect.py +++ b/unredact/pipeline/llm_detect.py @@ -65,6 +65,10 @@ def _get_client() -> anthropic.AsyncAnthropic: """Return a cached async Anthropic client.""" global _client if _client is None: + if not os.environ.get("ANTHROPIC_API_KEY"): + raise RuntimeError( + "ANTHROPIC_API_KEY not set. Export it before running the server." + ) _client = anthropic.AsyncAnthropic() return _client @@ -249,7 +253,7 @@ async def detect_redactions_llm( response = await client.messages.create( model=model, - max_tokens=1024, + max_tokens=2048, tools=[_TOOL], tool_choice={"type": "tool", "name": "report_redactions"}, messages=[{"role": "user", "content": prompt}], diff --git a/unredact/static/canvas.js b/unredact/static/canvas.js index 031c33e..49e6436 100644 --- a/unredact/static/canvas.js +++ b/unredact/static/canvas.js @@ -4,6 +4,72 @@ import { state, getPageRedactions } from './state.js'; import { canvas, ctx, docImage } from './dom.js'; +/** + * Parse text with **bold** markers into styled segments. + * @param {string} text + * @returns {{text: string, bold: boolean}[]} + */ +function parseStyledText(text) { + const segments = []; + const re = /\*\*(.+?)\*\*/g; + let last = 0; + let m; + while ((m = re.exec(text)) !== null) { + if (m.index > last) { + segments.push({ text: text.slice(last, m.index), bold: false }); + } + segments.push({ text: m[1], bold: true }); + last = m.index + m[0].length; + } + if (last < text.length) { + segments.push({ text: text.slice(last), bold: false }); + } + return segments.length ? segments : [{ text, bold: false }]; +} + +/** + * Draw styled text on canvas, switching font weight for bold segments. + * @param {string} text - Text with optional **bold** markers. + * @param {number} x + * @param {number} y + * @param {string} fontName + * @param {number} fontSize + * @param {string} fillStyle + * @returns {number} Total width drawn. + */ +function drawStyledText(text, x, y, fontName, fontSize, fillStyle) { + const segments = parseStyledText(text); + let cx = x; + ctx.fillStyle = fillStyle; + for (const seg of segments) { + ctx.font = seg.bold + ? `bold ${fontSize}px "${fontName}"` + : `${fontSize}px "${fontName}"`; + ctx.fillText(seg.text, cx, y); + cx += ctx.measureText(seg.text).width; + } + return cx - x; +} + +/** + * Measure styled text width, accounting for bold segments. + * @param {string} text + * @param {string} fontName + * @param {number} fontSize + * @returns {number} + */ +function measureStyledText(text, fontName, fontSize) { + const segments = parseStyledText(text); + let w = 0; + for (const seg of segments) { + ctx.font = seg.bold + ? `bold ${fontSize}px "${fontName}"` + : `${fontSize}px "${fontName}"`; + w += ctx.measureText(seg.text).width; + } + return w; +} + export function renderCanvas() { if (!docImage.naturalWidth || !state.fontsReady) return; @@ -67,16 +133,13 @@ function drawRedactionAnalyzed(r, isActive) { const startX = a.line.x + (o.offsetX ?? 0); const startY = a.line.y + (o.offsetY ?? 0); - ctx.font = fontStr; ctx.textBaseline = "top"; let cursorX = startX; const leftText = o.leftText ?? ""; if (leftText) { - ctx.fillStyle = "rgba(0, 200, 0, 0.7)"; - ctx.fillText(leftText, cursorX, startY); - cursorX += ctx.measureText(leftText).width; + cursorX += drawStyledText(leftText, cursorX, startY, fontName, fontSize, "rgba(0, 200, 0, 0.7)"); } const pad = fontSize * 0.15; @@ -91,14 +154,12 @@ function drawRedactionAnalyzed(r, isActive) { const label = `${Math.round(gapW)}px`; const labelW = ctx.measureText(label).width; ctx.fillText(label, cursorX + (gapW - labelW) / 2, startY + fontSize * 0.3); - ctx.font = fontStr; cursorX += gapW; const rightText = o.rightText ?? ""; if (rightText) { - ctx.fillStyle = "rgba(0, 200, 0, 0.7)"; - ctx.fillText(rightText, cursorX, startY); + drawStyledText(rightText, cursorX, startY, fontName, fontSize, "rgba(0, 200, 0, 0.7)"); } ctx.strokeStyle = "rgba(0, 200, 0, 0.3)"; @@ -123,16 +184,13 @@ function drawRedactionPreview(r, isActive) { const startX = a.line.x + (o.offsetX ?? 0); const startY = a.line.y + (o.offsetY ?? 0); - ctx.font = fontStr; ctx.textBaseline = "top"; let cursorX = startX; const leftText = o.leftText ?? ""; if (leftText) { - ctx.fillStyle = "rgba(0, 200, 0, 0.7)"; - ctx.fillText(leftText, cursorX, startY); - cursorX += ctx.measureText(leftText).width; + cursorX += drawStyledText(leftText, cursorX, startY, fontName, fontSize, "rgba(0, 200, 0, 0.7)"); } const pad = fontSize * 0.15; @@ -150,26 +208,27 @@ function drawRedactionPreview(r, isActive) { const rightText = o.rightText ?? ""; if (rightText) { - ctx.fillStyle = "rgba(0, 200, 0, 0.7)"; - ctx.fillText(rightText, cursorX, startY); + drawStyledText(rightText, cursorX, startY, fontName, fontSize, "rgba(0, 200, 0, 0.7)"); } ctx.strokeStyle = "rgba(0, 200, 0, 0.3)"; ctx.lineWidth = 1; ctx.strokeRect(a.line.x, a.line.y, a.line.w, a.line.h); } else { + const gapX = a.gap.x + (o.offsetX ?? 0); + const textY = a.line.y + (o.offsetY ?? 0); const pad = fontSize * 0.1; ctx.fillStyle = "rgba(255, 200, 0, 0.12)"; - ctx.fillRect(a.gap.x, r.y - pad, gapW, r.h + pad * 2); + ctx.fillRect(gapX, textY - pad, gapW, fontSize + pad * 2); ctx.strokeStyle = "rgba(255, 200, 0, 0.5)"; ctx.lineWidth = 1; - ctx.strokeRect(a.gap.x, r.y - pad, gapW, r.h + pad * 2); + ctx.strokeRect(gapX, textY - pad, gapW, fontSize + pad * 2); ctx.font = fontStr; ctx.textBaseline = "top"; ctx.fillStyle = "rgba(255, 200, 0, 0.9)"; - ctx.fillText(r.preview, a.gap.x, a.line.y); + ctx.fillText(r.preview, gapX, textY); } } @@ -190,16 +249,13 @@ function drawRedactionSolution(r, isActive) { const startX = a.line.x + (o.offsetX ?? 0); const startY = a.line.y + (o.offsetY ?? 0); - ctx.font = fontStr; ctx.textBaseline = "top"; let cursorX = startX; const leftText = o.leftText ?? ""; if (leftText) { - ctx.fillStyle = "rgba(0, 200, 0, 0.7)"; - ctx.fillText(leftText, cursorX, startY); - cursorX += ctx.measureText(leftText).width; + cursorX += drawStyledText(leftText, cursorX, startY, fontName, fontSize, "rgba(0, 200, 0, 0.7)"); } const pad = fontSize * 0.15; @@ -217,25 +273,26 @@ function drawRedactionSolution(r, isActive) { const rightText = o.rightText ?? ""; if (rightText) { - ctx.fillStyle = "rgba(0, 200, 0, 0.7)"; - ctx.fillText(rightText, cursorX, startY); + drawStyledText(rightText, cursorX, startY, fontName, fontSize, "rgba(0, 200, 0, 0.7)"); } ctx.strokeStyle = "rgba(0, 200, 0, 0.3)"; ctx.lineWidth = 1; ctx.strokeRect(a.line.x, a.line.y, a.line.w, a.line.h); } else { + const gapX = a.gap.x + (o.offsetX ?? 0); + const textY = a.line.y + (o.offsetY ?? 0); const pad = fontSize * 0.1; ctx.fillStyle = "rgba(0, 212, 116, 0.08)"; - ctx.fillRect(a.gap.x, r.y - pad, gapW, r.h + pad * 2); + ctx.fillRect(gapX, textY - pad, gapW, fontSize + pad * 2); ctx.strokeStyle = "rgba(0, 212, 116, 0.4)"; ctx.lineWidth = 1; - ctx.strokeRect(a.gap.x, r.y - pad, gapW, r.h + pad * 2); + ctx.strokeRect(gapX, textY - pad, gapW, fontSize + pad * 2); ctx.font = fontStr; ctx.textBaseline = "top"; ctx.fillStyle = "rgba(0, 212, 116, 0.95)"; - ctx.fillText(r.solution.text, a.gap.x, a.line.y); + ctx.fillText(r.solution.text, gapX, textY); } } diff --git a/unredact/static/main.js b/unredact/static/main.js index 94a9f40..4a72fc1 100644 --- a/unredact/static/main.js +++ b/unredact/static/main.js @@ -115,6 +115,8 @@ function startAnalysisSSE() { if (data.event === "page_complete") { // Reload the page data to pick up pre-computed analysis loadPageData(data.page); + } else if (data.event === "error") { + showToast(`Page ${data.page}: ${data.message}`, "error"); } else if (data.event === "done") { es.close(); showToast("Analysis complete"); @@ -304,6 +306,33 @@ canvas.addEventListener("mousedown", (e) => { } }); +canvas.addEventListener("dblclick", async (e) => { + const rect = rightPanel.getBoundingClientRect(); + const sx = e.clientX - rect.left; + const sy = e.clientY - rect.top; + const doc = screenToDoc(sx, sy); + + const resp = await fetch(`/api/doc/${state.docId}/page/${state.currentPage}/spot`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ x: Math.round(doc.x), y: Math.round(doc.y) }), + }); + if (!resp.ok) { + showToast("No redaction found at that spot", "error"); + return; + } + const r = await resp.json(); + state.redactions[r.id] = { + id: r.id, x: r.x, y: r.y, w: r.w, h: r.h, + page: state.currentPage, + status: "unanalyzed", + analysis: null, solution: null, preview: null, + }; + renderRedactionList(); + renderCanvas(); + activateRedaction(r.id); +}); + canvas.addEventListener("mousemove", (e) => { const rect = rightPanel.getBoundingClientRect(); const sx = e.clientX - rect.left; @@ -367,6 +396,67 @@ solveAccept.addEventListener("click", () => { renderCanvas(); }); +// ── Export annotations (Ctrl+E) ── + +function exportAnnotations() { + const pages = {}; + for (const r of Object.values(state.redactions)) { + if (!pages[r.page]) pages[r.page] = []; + const entry = { + id: r.id, + x: r.x, y: r.y, w: r.w, h: r.h, + status: r.status, + }; + if (r.overrides) { + entry.overrides = { ...r.overrides }; + } + if (r.analysis) { + entry.analysis = { + font: r.analysis.font, + gap: r.analysis.gap, + line: r.analysis.line, + segments: r.analysis.segments, + offset_x: r.analysis.offset_x, + offset_y: r.analysis.offset_y, + }; + } + if (r.solution) { + entry.solution = r.solution; + } + pages[r.page].push(entry); + } + // Sort each page's redactions top-to-bottom, left-to-right + for (const p of Object.values(pages)) { + p.sort((a, b) => Math.abs(a.y - b.y) > 5 ? a.y - b.y : a.x - b.x); + } + const data = { docId: state.docId, pageCount: state.pageCount, pages }; + const blob = new Blob([JSON.stringify(data, null, 2)], { type: "application/json" }); + const url = URL.createObjectURL(blob); + const a = document.createElement("a"); + a.href = url; + a.download = `annotations-${state.docId}.json`; + a.click(); + URL.revokeObjectURL(url); + showToast("Exported annotations"); +} + +document.addEventListener("keydown", (e) => { + if ((e.ctrlKey || e.metaKey) && e.key === "e") { + e.preventDefault(); + exportAnnotations(); + } + if ((e.key === "Delete" || e.key === "Backspace") && state.activeRedaction) { + // Don't delete if user is typing in an input + if (e.target.tagName === "INPUT" || e.target.tagName === "TEXTAREA") return; + delete state.redactions[state.activeRedaction]; + state.activeRedaction = null; + closePopover(); + renderRedactionList(); + renderCanvas(); + showToast("Redaction deleted"); + } +}); + // ── Initialize all modules ── setOnPopoverClose(stopSolve);