103 lines
5.8 KiB
Python
103 lines
5.8 KiB
Python
"""Editable analyses; never tied to a fixed calendar date."""
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PRESETS = [
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{
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"name": "HR in steady segments",
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"category": "Effort & recovery",
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"description": "Match five-minute moving segments by pace, speed consistency and HR coverage.",
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"query": 'segments\n during last 12 weeks\n reduce by run min 3 min\n where pace between 5:20 and 5:40 /km\n and pace_variability <= 5 %\n and sensor_coverage >= 80 %\n and duration >= 4 min\n summarize weighted_mean(heart_rate) as "Steady-segment HR"\n by week\n compare none\n baseline previous 90 days\n flag above baseline 1.5 sd min 5 runs sustained 2 buckets\n chart line',
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},
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{
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"name": "Speed/HR decoupling",
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"category": "Effort & recovery",
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"description": "First-half versus second-half efficiency, alongside pace consistency and HR coverage.",
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"query": "runs\n during last 12 weeks\n where duration >= 30 min\n and sensor_coverage >= 80 %\n summarize heart_rate_drift, pace_variability\n by week\n compare none\n chart line\n reference heart_rate_drift = 0 %",
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},
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{
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"name": "Easy and harder volume",
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"category": "Training",
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"description": "Partition weekly distance by a heart-rate threshold you can edit.",
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"query": 'runs\n during last 12 weeks\n summarize sum(distance)\n by week\n compare none\n cohort "Lower HR" where heart_rate <= 145 bpm\n cohort "Higher HR" where heart_rate > 145 bpm\n chart stacked',
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},
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{
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"name": "Lap consistency",
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"category": "Distributions",
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"description": "Distribution of recorded lap paces, grouped by week.",
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"query": "laps\n during last 12 weeks\n summarize pace\n by week\n compare none\n chart box",
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},
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{
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"name": "Year over year",
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"category": "Training",
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"description": "Compare monthly volume with the same local-date period last year.",
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"query": "runs\n during last 6 months\n summarize distance\n by month\n compare previous year\n chart area",
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},
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{
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"name": "HR at comparable pace",
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"category": "Effort & recovery",
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"description": "Match pace and hills; compare weekly HR with your earlier matched runs.",
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"query": 'runs\n during last 12 weeks\n where pace between 5:20 and 5:40 /km\n and elevation_per_km <= 10 m/km\n and has heart_rate\n summarize weighted_mean(heart_rate) as "Matched-pace HR"\n by week\n compare none\n baseline previous 90 days\n flag above baseline 1.5 sd min 3 runs sustained 2 buckets\n chart line',
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},
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{
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"name": "Pace at comparable HR",
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"category": "Effort & recovery",
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"description": "Track pace within a consistent heart-rate band.",
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"query": "runs\n during last 6 months\n where heart_rate between 140 and 150 bpm\n and elevation_per_km <= 10 m/km\n summarize weighted_mean(pace)\n by week\n compare none\n baseline previous 90 days\n chart line",
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},
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{
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"name": "Workload context",
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"category": "Training",
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"description": "Rolling 7- and 28-day distance alongside every run.",
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"query": "runs\n during last 12 weeks\n summarize rolling_7d_distance, rolling_28d_distance\n by run\n sort by date asc\n compare none\n chart line\n display overlay",
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},
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{
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"name": "Weekly volume",
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"category": "Training",
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"description": "Distance and run frequency with the previous period.",
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"query": 'runs\n during last 12 weeks\n summarize sum(distance) as "Weekly distance", count()\n by week\n compare previous period\n chart bar',
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},
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{
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"name": "Training calendar",
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"category": "Training",
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"description": "A daily distance heatmap with drill-down to each day's runs.",
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"query": "runs\n during last 6 months\n summarize distance\n by day\n compare none\n chart heatmap",
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},
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{
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"name": "Pace consistency",
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"category": "Distributions",
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"description": "Weekly pace distributions, including quartiles and range.",
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"query": "runs\n during last 12 weeks\n summarize pace\n by week\n compare none\n chart box",
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},
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{
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"name": "Run distance distribution",
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"category": "Distributions",
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"description": "See the mix of short, medium and long runs.",
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"query": "runs\n during last 6 months\n summarize distance\n by all\n compare none\n chart histogram",
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},
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{
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"name": "Effort relationships",
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"category": "Relationships",
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"description": "Pace versus HR, colored by terrain and sized by distance.",
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"query": "runs\n during last 6 months\n summarize pace, heart_rate\n by week\n compare none\n plot pace vs heart_rate\n color by elevation_per_km\n size by distance",
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},
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{
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"name": "Custom rolling effort",
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"category": "Effort & recovery",
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"description": "A 14-day mean HR calculated from complete history before filtering.",
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"query": "runs\n during last 12 weeks\n let hr_14d = rolling_mean(heart_rate, 14 days)\n summarize hr_14d, heart_rate\n by run\n sort by date asc\n compare none\n chart line\n display overlay",
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},
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{
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"name": "Weekday patterns",
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"category": "Distributions",
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"description": "Compare typical distance and pace by weekday.",
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"query": "runs\n during last 6 months\n summarize median(distance), median(pace), count()\n by weekday\n having count() >= 3 runs\n compare none\n chart bar",
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},
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]
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# Editable advanced examples. No account observations or inferred HR boundaries.
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from .training_signals import signal_queries
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PRESETS.extend({"name": d["name"], "category": "Deep training signals",
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"description": d["notes"], "query": d["query"]}
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for d in signal_queries())
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