dkapitan/jortt_report-2026-01-20.html

## jortt_report-2026-01-20.html
<!DOCTYPE html>
<html lang="en">
<head>
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    <title>jortt_report - Agent Session</title>
    <style>
        :root {
            --bg: #0d1117;
            --surface: #161b22;
            --surface-hover: #21262d;
            --border: #30363d;
            --text: #e6edf3;
            --text-muted: #8b949e;
            --accent: #58a6ff;
            --accent-muted: #388bfd;
            --user-bg: #1c2128;
            --assistant-bg: #1a1f26;
            --success: #3fb950;
            --warning: #d29922;
            --tool-bg: #1a2332;
            --thinking-bg: #1f1a24;
            --agent-accent: #9d7cd8;
        }

        * { box-sizing: border-box; margin: 0; padding: 0; }

        body {
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        .header-content {
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        h1 {
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        .message.assistant .message-role { color: var(--agent-accent); }

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        #sort-toggle:checked ~ main .messages {
            flex-direction: column-reverse;
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        /* Footer */
        footer {
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        @media (max-width: 600px) {
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            main {
                padding: 16px;
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            .header-content {
                flex-direction: column;
                align-items: flex-start;
            }
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    </style>
</head>
<body>
    <!-- CSS-only toggles using the checkbox hack -->
    <input type="checkbox" id="thinking-toggle" class="toggle-input">
    <input type="checkbox" id="sort-toggle" class="toggle-input">

    <header>
        <div class="header-content">
            <div class="header-left">
                <h1>jortt_report</h1>
                <div class="session-meta">
                    <span class="agent-name claude">Claude</span>
                    <span>35 messages</span>
                    <span>2026-01-20 14:46:53</span>
                </div>
            </div>
            <div class="controls">
                <label for="thinking-toggle" class="toggle-label">
                    <span class="toggle-indicator"></span>
                    Thinking
                </label>
                <label for="sort-toggle" class="toggle-label">
                    <span class="toggle-indicator"></span>
                    Newest first
                </label>
            </div>
        </div>
    </header>

    <main>
        <div class="messages">

            <div class="message user" data-index="0">
                <div class="message-header">
                    <span class="message-role">user</span>
                    <span class="message-time">2026-01-20 14:46:53</span>
                </div>
                <div class="message-content">&lt;ide_opened_file&gt;The user opened the file /Users/dkapitan/git/dkapitan/jortt-report/pyproject.toml in the IDE. This may or may not be related to the current task.&lt;/ide_opened_file&gt;
Update __main__.py such that the pipeline is executed at startup</div>
            </div>

            <div class="message assistant" data-index="1">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:46:55</span>
                </div>
                <div class="message-content">I'll update <code>__main__.py</code> to execute the pipeline automatically at startup.

Let me first read the current implementation:</div>
            </div>

            <div class="message assistant" data-index="2">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:46:56</span>
                </div>
                <div class="message-content"><div class="tool-block">[Read: /Users/dkapitan/git/dkapitan/jortt-report/jortt_report/__main__.py]</div></div>
            </div>

            <div class="message assistant" data-index="3">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:47:01</span>
                </div>
                <div class="message-content">I can see that <code>__main__.py</code> already executes the pipeline when run with <code>python -m jortt_report</code>. However, based on your request and the context about the TUI, I believe you want the pipeline to execute automatically when the TUI starts up (when running <code>jortt-report</code> or <code>uv run jortt-report</code>).

Let me check the TUI implementation to see how it currently handles the pipeline:</div>
            </div>

            <div class="message assistant" data-index="4">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:47:01</span>
                </div>
                <div class="message-content"><div class="tool-block">[Read: /Users/dkapitan/git/dkapitan/jortt-report/jortt_report/tui.py]</div></div>
            </div>

            <div class="message assistant" data-index="5">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:47:06</span>
                </div>
                <div class="message-content">Now I understand! You want the TUI to automatically run the pipeline when it starts up, rather than requiring the user to press 'r' to refresh data. Let me update the TUI to execute the pipeline automatically in the <code>on_mount</code> method:</div>
            </div>

            <div class="message assistant" data-index="6">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:47:09</span>
                </div>
                <div class="message-content"><div class="tool-block">[Edit: /Users/dkapitan/git/dkapitan/jortt-report/jortt_report/tui.py]</div></div>
            </div>

            <div class="message assistant" data-index="7">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:53:42</span>
                </div>
                <div class="message-content">I see - you want the pipeline to run first, then load the reports afterwards. Let me update the code to add a startup worker that runs the pipeline and then loads the reports:</div>
            </div>

            <div class="message assistant" data-index="8">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:53:49</span>
                </div>
                <div class="message-content"><div class="tool-block">[Edit: /Users/dkapitan/git/dkapitan/jortt-report/jortt_report/tui.py]</div></div>
            </div>

            <div class="message assistant" data-index="9">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:54:52</span>
                </div>
                <div class="message-content">Perfect! I've updated the TUI so that when it starts up, it will:

1. Show a notification &quot;⏳ Starting pipeline...&quot;
2. Run the pipeline in the background using an async worker
3. After the pipeline completes successfully:
   - Show &quot;✓ Pipeline completed successfully&quot; notification
   - Load the weekly report
   - Load the monthly report
   - Show &quot;Reports loaded&quot; notification
4. If the pipeline fails, it still attempts to load any existing data from the database

The key changes:
- <code>on_mount()</code> now calls a new <code>_startup_pipeline_worker()</code> instead of directly loading reports
- The worker runs the pipeline first, then calls <code>refresh_weekly_report()</code> and <code>refresh_monthly_report()</code> after successful completion
- Even if the pipeline fails, it still tries to load existing data so the user can see something
- The existing 'r' key binding still works to manually refresh data

Now when you run <code>uv run jortt-report</code> or <code>uvx jortt-report</code>, the TUI will automatically fetch fresh data from the Jortt API at startup.</div>
            </div>

            <div class="message user" data-index="10">
                <div class="message-header">
                    <span class="message-role">user</span>
                    <span class="message-time">2026-01-20 14:56:50</span>
                </div>
                <div class="message-content">&lt;ide_opened_file&gt;The user opened the file /Users/dkapitan/git/dkapitan/jortt-report/.venv/lib/python3.13/site-packages/textual/dom.py in the IDE. This may or may not be related to the current task.&lt;/ide_opened_file&gt;
the weekly report doesn't show data for week 1 2026, but there should be data.</div>
            </div>

            <div class="message assistant" data-index="11">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:56:53</span>
                </div>
                <div class="message-content">Let me investigate why the weekly report isn't showing data for week 1 2026. First, let me check what data is actually in the database:</div>
            </div>

            <div class="message assistant" data-index="12">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:56:56</span>
                </div>
                <div class="message-content"><div class="tool-block">[Bash: Check data for 2026 in database]
$ duckdb jortt.duckdb -c &quot;SELECT time_registration_date, EXTRACT(WEEK FROM time_registration_date) as week, EXTRACT(YEAR FROM time_registration_date) as year, project_name, time_registration_quantity FROM raw.timesheet WHERE EXTRACT(YEAR FROM time_registration_date) = 2026 ORDER BY time_registration_date LIMIT 20&quot;</div></div>
            </div>

            <div class="message assistant" data-index="13">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:00</span>
                </div>
                <div class="message-content">Good! The data exists for week 1 2026 (January 1-2). Now let me check what week number Python's <code>isocalendar()</code> method returns for today's date and how it handles the week offset:</div>
            </div>

            <div class="message assistant" data-index="14">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:05</span>
                </div>
                <div class="message-content"><div class="tool-block">[Bash: Check ISO calendar week numbers]
$ python3 -c &quot;
from datetime import date, timedelta</div>

today = date.today()
print(f'Today: {today}')
print(f'Today ISO calendar: week={today.isocalendar().week}, year={today.isocalendar().year}')

# Check week 1 dates
jan1 = date(2026, 1, 1)
print(f'\nJan 1, 2026: {jan1}')
print(f'Jan 1 ISO calendar: week={jan1.isocalendar().week}, year={jan1.isocalendar().year}')

jan2 = date(2026, 1, 2)
print(f'\nJan 2, 2026: {jan2}')
print(f'Jan 2 ISO calendar: week={jan2.isocalendar().week}, year={jan2.isocalendar().year}')

# Check with offset -1 (previous week from today)
prev_week_date = today + timedelta(weeks=-1)
print(f'\nPrevious week from today: {prev_week_date}')
print(f'ISO calendar: week={prev_week_date.isocalendar().week}, year={prev_week_date.isocalendar().year}')
&quot;</div>
            </div>

            <div class="message assistant" data-index="15">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:08</span>
                </div>
                <div class="message-content">Now let me check what DuckDB's <code>EXTRACT(WEEK FROM ...)</code> returns vs Python's <code>isocalendar()</code>:</div>
            </div>

            <div class="message assistant" data-index="16">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:10</span>
                </div>
                <div class="message-content"><div class="tool-block">[Bash: Check DuckDB week extraction]
$ duckdb jortt.duckdb -c &quot;
SELECT
    time_registration_date,
    EXTRACT(WEEK FROM time_registration_date) as duckdb_week,
    EXTRACT(ISOYEAR FROM time_registration_date) as iso_year,
    EXTRACT(YEAR FROM time_registration_date) as year
FROM raw.timesheet
WHERE time_registration_date BETWEEN '2026-01-01' AND '2026-01-02'
ORDER BY time_registration_date
LIMIT 5
&quot;</div></div>
            </div>

            <div class="message assistant" data-index="17">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:13</span>
                </div>
                <div class="message-content">Good, DuckDB is returning week 1. Now let me check what Polars is doing when filtering. Let me look at the <code>refresh_weekly_report</code> method more carefully:</div>
            </div>

            <div class="message assistant" data-index="18">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:14</span>
                </div>
                <div class="message-content"><div class="tool-block">[Read: /Users/dkapitan/git/dkapitan/jortt-report/jortt_report/tui.py]</div></div>
            </div>

            <div class="message assistant" data-index="19">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:17</span>
                </div>
                <div class="message-content"><div class="tool-block">[Read: /Users/dkapitan/git/dkapitan/jortt-report/jortt_report/tui.py]</div></div>
            </div>

            <div class="message assistant" data-index="20">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:21</span>
                </div>
                <div class="message-content">I found the issue! The problem is on line 369: <code>get_target_week()</code> returns <code>target_date.year</code> instead of <code>target_date.isocalendar().year</code>. For ISO week dates, especially at year boundaries, the ISO year can be different from the calendar year.

Let me verify this is the issue by testing with Polars:</div>
            </div>

            <div class="message assistant" data-index="21">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:28</span>
                </div>
                <div class="message-content"><div class="tool-block">[Bash: Test Polars week filtering logic]
$ python3 -c &quot;
import polars as pl
import duckdb
from datetime import date</div>

# Load data
conn = duckdb.connect('jortt.duckdb', read_only=True)
result = conn.execute('SELECT * FROM raw.timesheet WHERE time_registration_date BETWEEN \&quot;2026-01-01\&quot; AND \&quot;2026-01-02\&quot;').fetch_arrow_table()
df = pl.from_arrow(result)
conn.close()

print('Sample data:')
print(df.select(['time_registration_date', 'project_name', 'time_registration_quantity']))

print('\nWeek and year extraction:')
test = df.select([
    pl.col('time_registration_date'),
    pl.col('time_registration_date').dt.week().alias('polars_week'),
    pl.col('time_registration_date').dt.year().alias('polars_year'),
    pl.col('time_registration_date').dt.iso_year().alias('polars_iso_year')
]).head()
print(test)

# Current code logic
target_date = date(2026, 1, 1)
week_number = target_date.isocalendar().week  # Returns 1
year = target_date.year  # Returns 2026

print(f'\nCurrent code uses: week={week_number}, year={year}')
print(f'Filtering with .dt.week() == {week_number} and .dt.year() == {year}')

filtered = df.filter(
    (pl.col('time_registration_date').dt.week() == week_number) &amp;
    (pl.col('time_registration_date').dt.year() == year)
)
print(f'Filtered rows: {len(filtered)}')
print(filtered.select(['time_registration_date', 'project_name']))
&quot;</div>
            </div>

            <div class="message assistant" data-index="22">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:35</span>
                </div>
                <div class="message-content"><div class="tool-block">[Bash: Test Polars week filtering with uv]
$ uv run python3 -c &quot;
import polars as pl
import duckdb
from datetime import date</div>

# Load data
conn = duckdb.connect('jortt.duckdb', read_only=True)
result = conn.execute('SELECT * FROM raw.timesheet WHERE time_registration_date BETWEEN \&quot;2026-01-01\&quot; AND \&quot;2026-01-02\&quot;').fetch_arrow_table()
df = pl.from_arrow(result)
conn.close()

print('Sample data:')
print(df.select(['time_registration_date', 'project_name', 'time_registration_quantity']))

print('\nWeek and year extraction:')
test = df.select([
    pl.col('time_registration_date'),
    pl.col('time_registration_date').dt.week().alias('polars_week'),
    pl.col('time_registration_date').dt.year().alias('polars_year'),
    pl.col('time_registration_date').dt.iso_year().alias('polars_iso_year')
]).head()
print(test)

# Current code logic
target_date = date(2026, 1, 1)
week_number = target_date.isocalendar().week  # Returns 1
year = target_date.year  # Returns 2026

print(f'\nCurrent code uses: week={week_number}, year={year}')
print(f'Filtering with .dt.week() == {week_number} and .dt.year() == {year}')

filtered = df.filter(
    (pl.col('time_registration_date').dt.week() == week_number) &amp;
    (pl.col('time_registration_date').dt.year() == year)
)
print(f'Filtered rows: {len(filtered)}')
print(filtered.select(['time_registration_date', 'project_name']))
&quot;</div>
            </div>

            <div class="message assistant" data-index="23">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:41</span>
                </div>
                <div class="message-content"><div class="tool-block">[Bash: Test Polars week filtering with correct SQL]
$ uv run python3 -c &quot;
import polars as pl
import duckdb
from datetime import date</div>

# Load data
conn = duckdb.connect('jortt.duckdb', read_only=True)
result = conn.execute('SELECT * FROM raw.timesheet WHERE time_registration_date BETWEEN \\'2026-01-01\\' AND \\'2026-01-02\\'').fetch_arrow_table()
df = pl.from_arrow(result)
conn.close()

print('Sample data:')
print(df.select(['time_registration_date', 'project_name', 'time_registration_quantity']))

print('\nWeek and year extraction:')
test = df.select([
    pl.col('time_registration_date'),
    pl.col('time_registration_date').dt.week().alias('polars_week'),
    pl.col('time_registration_date').dt.year().alias('polars_year'),
    pl.col('time_registration_date').dt.iso_year().alias('polars_iso_year')
]).head()
print(test)

# Current code logic
target_date = date(2026, 1, 1)
week_number = target_date.isocalendar().week  # Returns 1
year = target_date.year  # Returns 2026

print(f'\nCurrent code uses: week={week_number}, year={year}')
print(f'Filtering with .dt.week() == {week_number} and .dt.year() == {year}')

filtered = df.filter(
    (pl.col('time_registration_date').dt.week() == week_number) &amp;
    (pl.col('time_registration_date').dt.year() == year)
)
print(f'Filtered rows: {len(filtered)}')
&quot;</div>
            </div>

            <div class="message assistant" data-index="24">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:46</span>
                </div>
                <div class="message-content">Interesting! The filtering is working correctly for this specific case. Let me check what the current week offset is and what data should be shown. Let me test with the actual current week (week 4):</div>
            </div>

            <div class="message assistant" data-index="25">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:52</span>
                </div>
                <div class="message-content"><div class="tool-block">[Bash: Test week filtering for current week and week 1]
$ uv run python3 -c &quot;
import polars as pl
import duckdb
from datetime import date, timedelta</div>

# Load all data
conn = duckdb.connect('jortt.duckdb', read_only=True)
result = conn.execute('SELECT * FROM raw.timesheet').fetch_arrow_table()
df = pl.from_arrow(result)
conn.close()

# Test current week (week_offset = 0)
today = date.today()
target_date = today + timedelta(weeks=0)
week_number = target_date.isocalendar().week
year = target_date.year

print(f'Today: {today}')
print(f'Target date (offset=0): {target_date}')
print(f'Looking for: week={week_number}, year={year}')

filtered = df.filter(
    (pl.col('time_registration_date').dt.week() == week_number) &amp;
    (pl.col('time_registration_date').dt.year() == year)
)
print(f'Filtered rows: {len(filtered)}')
if len(filtered) &gt; 0:
    print(filtered.select(['time_registration_date', 'project_name', 'time_registration_quantity']))

# Now test week 1
print('\n--- Testing Week 1 ---')
target_date_w1 = date(2026, 1, 1)
week_number_w1 = target_date_w1.isocalendar().week
year_w1 = target_date_w1.year

print(f'Target date for week 1: {target_date_w1}')
print(f'Looking for: week={week_number_w1}, year={year_w1}')

filtered_w1 = df.filter(
    (pl.col('time_registration_date').dt.week() == week_number_w1) &amp;
    (pl.col('time_registration_date').dt.year() == year_w1)
)
print(f'Filtered rows: {len(filtered_w1)}')
if len(filtered_w1) &gt; 0:
    print(filtered_w1.select(['time_registration_date', 'project_name', 'time_registration_quantity']))
&quot;</div>
            </div>

            <div class="message assistant" data-index="26">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:57:59</span>
                </div>
                <div class="message-content">So the filtering logic works correctly! The data for week 1 2026 exists and can be filtered. This means when you're viewing the TUI and it's showing week 1, the data should appear. Can you tell me:

1. What week offset are you using in the TUI when you expect to see week 1 data?
2. Are you seeing &quot;No data for week 1, 2026&quot; or is the table just empty?
3. Did you navigate backwards from the current week (which is week 4)?

Let me also check if there might be an issue with how the pivot table is being created:</div>
            </div>

            <div class="message assistant" data-index="27">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:58:05</span>
                </div>
                <div class="message-content"><div class="tool-block">[Bash: Test pivot table creation for week 1]
$ uv run python3 -c &quot;
import polars as pl
import duckdb
from datetime import date</div>

# Load data
conn = duckdb.connect('jortt.duckdb', read_only=True)
result = conn.execute('SELECT * FROM raw.timesheet').fetch_arrow_table()
df = pl.from_arrow(result)
conn.close()

# Filter for week 1
week_number = 1
year = 2026

filtered = df.filter(
    (pl.col('time_registration_date').dt.week() == week_number) &amp;
    (pl.col('time_registration_date').dt.year() == year)
)

print(f'Filtered data for week {week_number}, {year}:')
print(filtered.select(['time_registration_date', 'project_name', 'customer', 'time_registration_quantity']))

# Create pivot table like the TUI does
metric_col = 'time_registration_quantity'

pivot = (
    filtered.select(
        pl.concat_str(
            [
                pl.col('project_name'),
                pl.col('customer').fill_null(pl.lit('Intern')),
            ],
            separator=' | ',
        ).alias('project'),
        pl.col('time_registration_date'),
        pl.col(metric_col),
    )
    .pivot(
        index='project',
        on='time_registration_date',
        values=metric_col,
        aggregate_function='sum',
    )
    .with_columns(pl.sum_horizontal(pl.all().exclude('project')).alias('TOTAL'))
)

print('\nPivot table:')
print(pivot)
&quot;</div>
            </div>

            <div class="message assistant" data-index="28">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:58:12</span>
                </div>
                <div class="message-content">Perfect! The pivot table is being created correctly. The data for week 1, 2026 exists and should display properly.

Based on my testing, the code is working correctly. When you say &quot;the weekly report doesn't show data for week 1 2026&quot;, can you clarify:

1. Are you currently looking at week 4 (the current week) and expecting to see week 1 data there? If so, you need to navigate back 3 weeks using the left arrow key or the &quot;←&quot; button.

2. When you navigate to week 1, does it show &quot;No data for week 1, 2026&quot; or does it show the table with data?

The current week is week 4 (January 19-25, 2026), so to view week 1 (January 1-4, 2026), you would need to press the left arrow key 3 times (or click the &quot;←&quot; button 3 times) to go back 3 weeks.

Could you try navigating back to week 1 using the left arrow key and let me know what you see?</div>
            </div>

            <div class="message user" data-index="29">
                <div class="message-header">
                    <span class="message-role">user</span>
                    <span class="message-time">2026-01-20 14:59:34</span>
                </div>
                <div class="message-content">I am navigating to week 1 using the arrow keys. But indeed it shows &quot;week 1 2025&quot; instead of &quot;week 1 2026&quot; so I think the issues is that the arrow keys jump back to the previous year.</div>
            </div>

            <div class="message assistant" data-index="30">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:59:39</span>
                </div>
                <div class="message-content">Ah! I found the bug! The issue is in the <code>get_target_week()</code> method. When you navigate back using arrow keys, it uses <code>timedelta(weeks=self.week_offset)</code> which can cause the year to roll back incorrectly when crossing year boundaries.

The problem is on line 369 where it returns <code>target_date.year</code> instead of <code>target_date.isocalendar().year</code>. For ISO weeks, especially at year boundaries, the ISO year can differ from the calendar year.

Let me fix this:</div>
            </div>

            <div class="message assistant" data-index="31">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:59:42</span>
                </div>
                <div class="message-content"><div class="tool-block">[Edit: /Users/dkapitan/git/dkapitan/jortt-report/jortt_report/tui.py]</div></div>
            </div>

            <div class="message assistant" data-index="32">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:59:52</span>
                </div>
                <div class="message-content">Perfect! Now let me verify this fix works correctly:</div>
            </div>

            <div class="message assistant" data-index="33">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 14:59:56</span>
                </div>
                <div class="message-content"><div class="tool-block">[Bash: Test the fix for week year calculation]
$ uv run python3 -c &quot;
from datetime import date, timedelta</div>

# Test the old vs new logic
today = date.today()
print(f'Today: {today}')

# Simulate navigating back 3 weeks (to week 1)
week_offset = -3
target_date = today + timedelta(weeks=week_offset)

print(f'\nNavigating back 3 weeks:')
print(f'Target date: {target_date}')

# OLD LOGIC (wrong)
old_week = target_date.isocalendar().week
old_year = target_date.year  # This is wrong!
print(f'\nOLD logic: week={old_week}, year={old_year}')

# NEW LOGIC (correct)
iso_calendar = target_date.isocalendar()
new_week = iso_calendar.week
new_year = iso_calendar.year
print(f'NEW logic: week={new_week}, year={new_year}')

# Verify with actual data
print(f'\nVerification:')
print(f'Jan 1, 2026 is in ISO week {date(2026, 1, 1).isocalendar().week}, ISO year {date(2026, 1, 1).isocalendar().year}')
&quot;</div>
            </div>

            <div class="message assistant" data-index="34">
                <div class="message-header">
                    <span class="message-role">assistant</span>
                    <span class="message-time">2026-01-20 15:00:04</span>
                </div>
                <div class="message-content">Excellent! The fix is correct.

**The Problem**: When you navigate back 3 weeks from January 20, 2026, you land on December 30, 2025 (which is in ISO week 1 of 2026). The old code was using <code>target_date.year</code> which returned 2025 (the calendar year), but the correct ISO year is 2026.

**The Fix**: Now it uses <code>iso_calendar.year</code> which correctly returns 2026, matching the ISO week standard that DuckDB and Polars use.

Now when you navigate to week 1 using the arrow keys, it should correctly show &quot;Week 1, 2026&quot; and display the data from January 1-2, 2026.

You can test this by running the TUI again:

<pre><code>uv run jortt-report
</code></pre>

Then press the left arrow key 3 times to navigate back to week 1, and you should see the data for week 1, 2026.</div>
            </div>
        </div>
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