- Replace mock statistics in stats_summarizer.py with real SQLAlchemy queries
against DMARCReport, ReportRecord, and Domain models
- Replace random compliance timeline in domains.py with real data from ReportStore
- Remove unused `import random` from domains.py
- Add comprehensive tests for StatsSummarizer (global/domain/caching)
- Add tests for compliance timeline (deterministic, multi-report aggregation)
- Mark Dashboard Visualizations as complete in TODO.md
Agent-Logs-Url: https://github.com/christianlouis/dmarq/sessions/ea784ce3-2c1c-45f8-ad6d-46e92cf15ed7
Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
- Auto-format all Python files with black and isort
- Remove unused imports with autoflake
- Fix flake8 issues (missing newlines, blank lines, etc.)
- Fix nonlocal/global scope issues in main.py
- Fix security.py import order (E402)
- Remove f-string without placeholders
- Add nosec comment for intentional exception handling
- Fix test imports to match refactored DMARCParser API
Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
- Created main documentation index and user guide with sections on getting started, dashboard overview, managing domains, and reports.
- Added detailed deployment guide for Docker and manual installation.
- Included user-friendly explanations of DMARC, its benefits, and how to manage domains and reports.
- Implemented visual assets for dashboard, domains, IMAP, and reports.
- Established requirements for documentation build using MkDocs and Material theme.
- Integrated navigation structure for easy access to all documentation sections.
Christian Krakau-Louis