Commit graph

5 commits

Author SHA1 Message Date
Vadym Samoilenko
4302b9391a Restyle full application from Barclays to Oliver Agency brand
Replace entire Barclays colour palette (navy #1A2142, lime #C3FB5A, violet
#7A0FF9) with Oliver brand tokens: black #1A1A1A, gold #FFCB05, orange
#FF5C00, azure #0487B6, sky #5DF5EA, grey #EFEFEF, green #09821F.

- Switch font from Inter/Barclays Effra to Arial (system font)
- Add new Oliver logo asset (BAR-ModComms-logo-v4.png)
- Sidebar: black background, new logo, azure active state
- Hero: orange "Intelligent Review" text, hide AI-Powered tagline
- Hide ChecksOverview on Home page per Oliver design
- Toast notification: orange background with black text
- All tables: sky headers, alternating white/grey rows
- Campaign badges: gold "In Progress", green "Completed"
- Analytics: grey KPI cards, sky accent on Key Insight, oliver trend colours
- All buttons: azure fill, pill-shaped (rounded-full)
- All tabs/toggles/dropdowns: azure accent colour
- Update HTML title to "Mod Comms - Intelligent Review"
- Default border radius set to 10px

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 10:16:26 +00:00
michael
0fdaedc7ff Complete UI design system migration to Barclays brand colors
Updates all remaining frontend components to use the new Barclays
design system color tokens:
- brand-dark-blue → primary-blue (#1A2142)
- brand-accent → active-blue (#006DE3)
- brand-light-blue → cyan-brand (#00AEEF)
- brand-gray → grey-100 (#F6F6F6)

Components updated:
- CampaignDetail and ProofDetailView in Campaigns.tsx
- Projects.tsx (full component migration)
- StatusDashboard.tsx (status tiles and colors)
- CreateProjectModal.tsx (modal styling)
- FeedbackReport.tsx (remaining brand colors)
- Login.tsx and Profile.tsx
- WIPReviewer.tsx and CopyGenAI.tsx
- Header, LoadingVisual, ToggleSwitch
- AssetPreview, ProofPreview, AssetUpload
- ProofTypeManager

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-27 14:00:13 -06:00
michael
c1030ee292 Add PDF rasterization support for reliable preview and analysis
PDFs are now converted to PNG images at 200 DPI before being sent to
Gemini for analysis. This fixes the unreliable iframe-based PDF preview
and ensures all pages are properly analyzed.

- Add PyMuPDF dependency for PDF rasterization
- Create pdf_service.py with rasterize() and get_page_count()
- Update agent interfaces to accept list of images for multi-page support
- Add analyze_with_images() to Gemini service for multi-image analysis
- Return rasterized PDF pages via WebSocket for frontend display
- Add page navigation UI for multi-page PDFs in preview components

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 09:36:56 -06:00
Michael Clervi
dc17cd087c permissions changes 2025-12-18 16:51:27 +00:00
michael
e97d0e935c initial commit 2025-12-12 09:03:17 -06:00