- Delete inline-edit.js and all references
- Remove backspace/delete key handler for redaction deletion
- Clean up popover.js syncInlineEdit references
Co-Authored-By: Claude Opus 4.6 <[email protected]>
analyze_spot_redaction is now async and calls identify_boundary_text()
to use Claude Haiku for clean left/right text extraction instead of
center-point character filtering. Falls back to center-point if LLM
is unavailable.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Missed files from the inline text editing task — adds the inline-edit
module and wires up bidirectional sync between popover text bar and
inline canvas inputs.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Enrich POST /api/doc/{doc_id}/page/{page}/spot to call
analyze_spot_redaction when OCR data is cached, returning full
analysis JSON (segments, gap, font, line, offsets) alongside the
bounding box. This makes spot redactions first-class, matching the
analysis format returned by get_page_data for auto-detected redactions.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Add a synchronous function that runs the analysis mini-pipeline on a
single known bounding box using cached OCR data. This enables spot
redaction endpoints to get full analysis (font, left/right context text,
pixel alignment offsets) without needing LLM detection.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Add an ocr_lines slot (initially None) to each page's data dictionary
in the upload endpoint. This prepares for OCR caching so results can
be reused between the auto-detect and spot-redaction pipelines.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Captures the plan to decouple auto-detection from upload, make manual
(double-click) redactions first-class with full analysis, and move to
inline-on-canvas editing.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
The rename from solveFilterPrefix/Suffix to solveKnownStart/End missed
associates.js, breaking the entire JS module tree and disabling upload.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Replaced test_solve_endpoint_dictionary and test_dictionary_crud with
test_solve_endpoint_name_mode testing the new name mode.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Modes: name (default), full_name, email, enumerate
Renamed filter_prefix/suffix to known_start/known_end
Removed DictionaryStore and dictionary API endpoints
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Renamed solveFilterPrefix/Suffix to solveKnownStart/End. Word filter
label hidden by default, shown only when enumerate mode is selected.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Modes: Name (default), Full Name, Email, Enumerate
Charsets: lowercase, UPPERCASE, Capitalized
Renamed filter prefix/suffix to known start/end
Word filter hidden by default (shown only for enumerate mode)
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Replaces uppercase_only bool with casing string parameter. Adds
known_start/known_end support for filtering and gap-width measurement.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Supports casing (lowercase/uppercase/capitalized), known_start/known_end
filtering with gap-width measurement of the unknown portion only.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Generate first x last name combinations from associate lists, apply
Title Case or UPPER casing, measure rendered widths, and return matches
within tolerance. Also checks associate name variants (initials,
nicknames) with deduplication.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
The full-name solver collected all results into a Vec with no limit,
causing OOM crashes for realistic targets where millions of valid
first×last combinations exist. Thread max_results through
solve_subtree, dfs_first, and the Cartesian product loop so the
search stops early once enough results are found.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Thread EquivClasses and deduped_allowed through solve_subtree, dfs,
generate_prefixes, handle_solve, and dfs_first (full_name). The DFS
hot loop now iterates deduped representatives instead of all allowed
chars, and expand_match restores full class-member variants at match
time. This reduces branching factor for charsets with metrically
identical glyphs while preserving complete result sets.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Foundation for glyph equivalence class optimization. Groups charset
characters with identical metric signatures (width table columns/rows,
left/right edges, optional extra columns) into equivalence classes
using exact f64::to_bits() comparison. Includes 3 unit tests covering
duplicate detection, all-unique case, and extra column splitting.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Group metrically identical characters into equivalence classes to reduce
the DFS branching factor from N to K per node, with Cartesian product
expansion on matches to recover all solutions.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Replace the click-to-analyze and spot-detection flows with an automatic
SSE-driven analysis pipeline. After upload, an EventSource connects to
/api/doc/{id}/analyze and reloads page data as each page completes,
consuming pre-computed analysis from the page data endpoint.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Replace the old /api/redaction/analyze and /api/redaction/spot endpoints
with a new /api/doc/{id}/analyze SSE endpoint that pre-computes all
analysis during upload. The page data endpoint now returns pre-computed
analysis results instead of requiring per-redaction API calls.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Wire together the per-page pipeline: OCR -> LLM redaction detection ->
guided OpenCV search -> font detection with masking -> pixel alignment.
Includes font caching per line and progress callbacks.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Adds a new detect_font_masked() function that masks redaction boxes to
white (255) before running pixel-based font detection on the full line
crop. This replaces the fragile approach of cropping just the left/right
portion of a line, which lost signal from narrow crops and coordinate
mismatches. The Dice-based scoring naturally ignores masked (white)
regions since they contain no ink pixels.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Add find_redaction_in_region() that searches for a black rectangle
within a specific page region identified by the LLM. Uses a lower
minimum area threshold (100px vs 500px) since the LLM provides
spatial guidance, preventing merged redactions and false positives.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Introduce llm_detect.py that sends OCR lines to Claude Haiku to identify
redaction locations via broken text patterns (garbled chars, brackets,
pipes). The LLM returns boundary words which are mapped back to pixel
positions using OCR character data. Includes comprehensive tests covering
single/multiple redactions, line start/end edge cases, and error handling.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
