Add home dashboard and Mithril rendering support
- Create new home route with comprehensive dashboard statistics - Implement Mithril rendering support with new `mithril_loader.html` template - Add new routes for home and test pages in `app.py` - Create `lib/mithril.py` with Mithril rendering and error handling utilities - Update dashboard template to use new home route - Add detailed dashboard view with timer and HTTP function statistics
This commit is contained in:
Peter Stockings
133
routes/home.py
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133
routes/home.py
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from flask import Blueprint, render_template, request
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from flask_login import login_required, current_user
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from extensions import db, htmx, environment
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from jinja2_fragments import render_block
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home = Blueprint('home', __name__)
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@home.route('/')
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@login_required
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def index():
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# Fetch user statistics
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stats = db.execute("""
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WITH timer_stats AS (
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SELECT
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COUNT(*) as total_timer_functions,
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COUNT(*) FILTER (WHERE enabled = true) as active_timer_functions,
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(SELECT COUNT(*) FROM timer_function_invocations tfi
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JOIN timer_functions tf ON tf.id = tfi.timer_function_id
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WHERE tf.user_id = %s) as timer_invocations,
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(SELECT COUNT(*) FROM timer_function_invocations tfi
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JOIN timer_functions tf ON tf.id = tfi.timer_function_id
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WHERE tf.user_id = %s AND tfi.status = 'SUCCESS') as timer_successful_invocations,
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MAX(last_run) as last_timer_invocation
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FROM timer_functions
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WHERE user_id = %s
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),
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http_stats AS (
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SELECT
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COUNT(*) as total_http_functions,
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COUNT(*) FILTER (WHERE is_public = true) as public_http_functions,
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SUM(invoked_count) as http_invocations,
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(SELECT COUNT(*) FROM http_function_invocations hfi
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JOIN http_functions hf ON hf.id = hfi.http_function_id
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WHERE hf.user_id = %s AND hfi.status = 'SUCCESS') as http_successful_invocations,
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(SELECT MAX(invocation_time)
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FROM http_function_invocations hfi
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JOIN http_functions hf ON hf.id = hfi.http_function_id
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WHERE hf.user_id = %s) as last_http_invocation
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FROM http_functions
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WHERE user_id = %s
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)
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SELECT
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*,
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CASE
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WHEN timer_invocations > 0 THEN
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(timer_successful_invocations * 100.0 / timer_invocations)::numeric(5,1)
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ELSE 0.0
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END as timer_success_rate,
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CASE
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WHEN http_invocations > 0 THEN
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(http_successful_invocations * 100.0 / http_invocations)::numeric(5,1)
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ELSE 0.0
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END as http_success_rate
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FROM timer_stats, http_stats
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""", [current_user.id, current_user.id, current_user.id, current_user.id, current_user.id, current_user.id], one=True)
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# Get 24-hour distribution
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hour_distribution = db.execute("""
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WITH all_invocations AS (
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SELECT date_trunc('hour', tfi.invocation_time) as hour_bucket
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FROM timer_function_invocations tfi
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JOIN timer_functions tf ON tf.id = tfi.timer_function_id
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WHERE tf.user_id = %s
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AND tfi.invocation_time > NOW() - INTERVAL '24 hours'
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UNION ALL
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SELECT date_trunc('hour', hfi.invocation_time) as hour_bucket
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FROM http_function_invocations hfi
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JOIN http_functions hf ON hf.id = hfi.http_function_id
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WHERE hf.user_id = %s
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AND hfi.invocation_time > NOW() - INTERVAL '24 hours'
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)
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SELECT
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EXTRACT(HOUR FROM hour_bucket) as hour,
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COUNT(*) as count
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FROM all_invocations
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GROUP BY hour
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ORDER BY hour
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""", [current_user.id, current_user.id])
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# Get 7-day success rate trend
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success_trend = db.execute("""
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WITH daily_stats AS (
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WITH timer_daily AS (
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SELECT
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date_trunc('day', tfi.invocation_time) as day,
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COUNT(*) as total,
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COUNT(*) FILTER (WHERE tfi.status = 'SUCCESS') as successes
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FROM timer_function_invocations tfi
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JOIN timer_functions tf ON tf.id = tfi.timer_function_id
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WHERE tf.user_id = %s
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AND tfi.invocation_time > NOW() - INTERVAL '7 days'
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GROUP BY day
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),
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http_daily AS (
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SELECT
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date_trunc('day', hfi.invocation_time) as day,
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COUNT(*) as total,
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COUNT(*) FILTER (WHERE hfi.status = 'SUCCESS') as successes
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FROM http_function_invocations hfi
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JOIN http_functions hf ON hf.id = hfi.http_function_id
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WHERE hf.user_id = %s
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AND hfi.invocation_time > NOW() - INTERVAL '7 days'
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GROUP BY day
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)
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SELECT
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COALESCE(t.day, h.day) as day,
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COALESCE(t.total, 0) + COALESCE(h.total, 0) as total,
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COALESCE(t.successes, 0) + COALESCE(h.successes, 0) as successes
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FROM timer_daily t
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FULL OUTER JOIN http_daily h ON t.day = h.day
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)
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SELECT
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to_char(day, 'Dy') as day_name,
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CASE
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WHEN total > 0 THEN
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(successes * 100.0 / total)::float
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ELSE 0.0
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END as success_rate
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FROM daily_stats
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ORDER BY day DESC
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LIMIT 7
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""", [current_user.id, current_user.id])
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if htmx:
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return render_block(environment, 'dashboard/home.html', 'page',
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stats=stats,
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hour_distribution=hour_distribution,
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success_trend=success_trend)
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return render_template('dashboard/home.html',
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stats=stats,
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hour_distribution=hour_distribution,
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success_trend=success_trend)
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