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${ noResults }
1 Commits (db47f795efd8614da8fa6c6bc83c96aff01a61dc)
| Author | SHA1 | Message | Date |
|---|---|---|---|
devin-ai-integration[bot]
|
76a60244e0
|
feat: add pluggable field detection system (v0.14.0)
* feat: add pluggable field detection system (v0.14.0) Add external field detection via Ruby scripts and YAML profiles. Two plugin mechanisms supported side-by-side: 1. Ruby scripts (FIELD_DETECTION_SCRIPTS_DIR) - full-power handlers registered via Templates::FieldDetection.register(name, handler) 2. YAML profiles (FIELD_DETECTION_CONFIG_DIR) - declarative configs with text anchors + relative offsets OR absolute positions Core changes: - lib/templates/field_detection.rb: registry, loader, dispatcher - lib/templates/field_detection/config_based.rb: YAML profile engine with anchor-based and absolute positioning, negative page indices - Controller accepts algorithm param, dispatches accordingly - Split-button UI: main action = ML detection, dropdown = profiles - RSpec tests for both modules with fixture YAML profiles No business-specific algorithms ship with docuseal - all are injected at deploy time via ConfigMap/mounted volumes. * fix: use proper user/account setup in config_based spec * fix: include submitters in algorithm detection response --------- Co-authored-by: Bob Develop <developbob50@gmail.com> |
2 weeks ago |