Each Gantt bar and table row gets a data-conf-key attribute
(ISO start date + conference name). A small JS lookup map connects
them so hovering either element highlights both simultaneously:
- Gantt bar: filter brightness + inset white box-shadow
- Table row: yellow tint via background-color
Hovering a Gantt bar also scrolls the matching table row into view
(scrollIntoView nearest) so future conferences are reachable without
manual scrolling. The key field is pre-computed in
build_conference_timeline() to keep the template simple.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Shows the next 90 days as a horizontal bar chart above the conference
list. A greedy interval-colouring algorithm assigns each conference to a
lane so overlapping conferences appear in separate rows. Lane colour
cycles through a fixed palette so simultaneous events are easy to tell
apart. Month boundary markers and a red today-line provide orientation.
All position maths happens in build_conference_timeline() in Python;
the Jinja template is pure rendering.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Web view was calling the OpenWeatherMap API directly on every request
(home + all trip locations), causing >1000 calls/day. Now web_view.py
uses cache_only=True everywhere so it never triggers live API calls —
update.py (cron) is the sole API caller. Also warms home location cache
in update_weather(), and increases TTL from 6h to 24h.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Transit countries (e.g. Madrid on the Peru trip) were already included
in trip.countries via flight data, but get_destination_timezones only
iterated trip.locations() which comes from accommodation/conferences/events.
Now also extract airport cities from flights and append any that aren't
already covered by a stay, using the airport coordinates for timezone lookup.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Show 8-day Bristol home weather on the index and weekends pages.
Show destination weather per day on the trip list and trip page.
Cache forecasts in ~/lib/data/weather/ and refresh via update.py.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Aggregate yearly stats into overall totals so the trip stats page
shows flight segments by airline, airports used, and stations used
in the summary section at the top.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The accommodation page has been updated to provide a more comprehensive and dynamic view of travel statistics.
Previously, the page only displayed hard-coded statistics for total nights away and abroad for the year 2024. This required manual updates each year and didn't provide historical context.
This commit introduces the following changes:
* **Dynamically Calculate Yearly Stats:** The `accommodation_list` view in `web_view.py` now calculates statistics for every year found in the accommodation data. It correctly handles stays that span across multiple years.
* **Display All Years:** The `accommodation.html` template now iterates through a list of all calculated yearly stats, displaying a summary for each year automatically.
* **Add Percentage of Year:** The template also calculates and displays what percentage of the year the "total nights" and "nights abroad" represent. This includes logic to correctly account for leap years (366 days) for an accurate calculation.
These changes make the statistics more informative and ensure the page remains relevant over time without needing further manual code adjustments.
- Replace hardcoded 2025 data with astronomically calculated dates
- Use solar longitude to determine precise meteor shower peak dates
- Calculate real-time moon phases for accurate viewing conditions
- Support for any year with automatic date calculations
- Include parent body information and meteor velocities
- Remove caching layer for real-time calculations
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add /trip/<start>/debug endpoint that displays the complete trip object
data in pretty-printed JSON format with syntax highlighting. Includes
both raw data and computed properties for debugging purposes.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Weekend page now shows specific location (city and country) for each
Saturday and Sunday based on travel history:
- Analyzes flight arrivals and accommodation check-ins to determine exact location
- Shows "home" when at Bristol, UK
- Shows "City, 🏴 Country" format when traveling
- Handles multi-location trips by finding most recent travel within trip period
- Optimized to parse YAML files once instead of per-date lookup
Closes#191🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
