Initial commit: fitness agent project
- opencode agent (fitness-trainer) for personal training conversations - fitness-workout skill with programming methodology guidelines - workout.py script (1RM, volume, cycle helpers) - logs/ directory for workout and check-in markdown files - inputs/ with user profile (equipment, goals, medical, Juggernaut history) - google-sheets-automation skill for optional Sheets integration - AGENTS.md with setup documentation
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.agents/skills/fitness-workout/SKILL.md
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.agents/skills/fitness-workout/SKILL.md
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# Fitness Workout Programming Skill
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Provides programming methodology and guidelines for the fitness trainer agent.
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Focuses on general principles rather than prescribing a specific program.
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## Volume Landmarks
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Use these as rough guidelines per muscle group per week. Adjust based on the
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client's recovery, experience level, and goal:
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| Zone | Sets/week | Purpose |
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|------------------------|-----------|---------------------------------|
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| Maintenance | 4-6 | Deload, injury management |
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| Minimum Effective Vol | 8-10 | Hypertrophy (just enough to grow) |
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| Maximum Adaptive Vol | 12-18 | Optimal growth/strength range |
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| Maximum Recoverable Vol| 20+ | Advanced only, short-term |
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## Intensity Zones (% of training max / e1RM)
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| Zone | %TM | RPE | Reps in Reserve | Purpose |
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|----------|--------|------|-----------------|------------------------|
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| Recovery | <50% | <5 | 5+ | Warmup, technique, rehab |
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| Endurance| 50-60% | 5-6 | 4-5 | Muscle endurance |
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| Hypertrophy | 60-75% | 6-8 | 2-4 | Muscle growth |
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| Strength | 75-85% | 7-9 | 1-2 | Neural adaptation |
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| Peak | 85%+ | 9-10 | 0-1 | Top-end strength, peaking |
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Training max (TM) is typically 90-95% of actual 1RM. This gives room to
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progress without overshooting.
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## Progression Methods
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### Linear Progression
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- Add weight each session (e.g., +5lb upper / +10lb lower)
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- Works for novices and early intermediates
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- Stall after 2-3 missed attempts → reset or switch method
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### Double Progression
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- Stay at same weight until you hit the top of the rep range for all sets
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- Then add weight and drop to the bottom of the rep range
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- Example: 3x8-12 @ 135lb. Add weight when you can do 3x12
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### Wave Loading (Juggernaut-style)
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- Cycle through rep schemes over weeks
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- Example: 10s → 8s → 5s → 3s waves, adding weight each wave
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- Each wave is 4-5 weeks with increasing intensity, decreasing volume
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### RPE-Based
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- Prescribe RPE targets rather than fixed weights
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- Auto-regulates based on daily readiness
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- Example: 3x5 @ RPE 8 — use whatever weight feels like you have 2 reps in reserve
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## Deload Guidelines
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Deload when:
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- 2+ weeks of stalled progress on main lifts
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- Cumulative fatigue is high (poor sleep, low motivation, constant soreness)
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- Coming back from illness/injury
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- After a peaking block
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Deload: reduce volume by 40-60%, keep intensity moderate. Lasts 1 week.
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## Injury Modifications (Distal Radius Fracture)
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The client broke their left wrist on 2026-05-16. Key considerations:
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- Wrist loading: be careful with heavy pressing (barbell bench, OHP).
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Dumbbells allow natural wrist rotation — prefer them when possible
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- Grip-intensive pulling: rows, deadlifts, farmer's carries may aggravate if
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grip is fatigued. Use straps if needed
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- Avoid: wrist extensions/flexions under load, narrow grip bench, heavy
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front rack position
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- Monitor: pain during or after session. Any sharp wrist pain → substitute
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or reduce load
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- Rehab: as wrist recovers, gradually reintroduce full range. The client was
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"recovering fast" as of their medical intake
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## Exercise Selection
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Given the client's equipment (see `inputs/equipment.md`), build balanced
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sessions:
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- **Push**: bench press (barbell/dumbbell), OHP (barbell/dumbbell), incline
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press, landmine press, dips (if available through rack)
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- **Pull**: pull-ups, barbell rows, dumbbell rows, pulldowns, face pulls,
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farmer's carries, deadlifts, RDLs
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- **Legs**: squats (barbell front/back), leg press (via rack?), RDLs, reverse
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hypers (via bench?), KB swings, lunges
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- **Core**: ab roller, hanging leg raises, planks, tib bar work
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Use the available outdoor terrain (steep hill, half-mile trail) for:
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- Loaded carries (walk up the hill with farmer's handles)
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- Sled work (if they have a sled)
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- Conditioning finishers (hill sprints, ruck)
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## Sample Session Structures
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### Full Body (3x/week)
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- Squat variation
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- Horizontal push
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- Horizontal pull
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- Vertical push or pull
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- Single-leg or core
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- Conditioning finisher
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### Upper/Lower (4x/week)
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- **Upper A**: horizontal push, vertical pull, horizontal pull, vertical push
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- **Lower A**: squat focus, hinge, single-leg, core
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- **Upper B**: vertical push, horizontal pull, vertical pull, horizontal push
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- **Lower B**: hinge focus, squat, single-leg, core
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### Push/Pull/Legs (6x/week)
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- **Push**: chest, shoulders, triceps
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- **Pull**: back, biceps, rear delts
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- **Legs**: quads, hamstrings, glutes, calves
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## Interpreting Historical Data
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The client's `inputs/Juggernaut training.xlsx` contains their previous
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Juggernaut training cycles. When they want to restart Juggernaut:
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- Look for the last cycle's top set weights
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- Adjust for current estimated 1RM (accounting for detraining after 1.5 years off)
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- Start a new wave at ~80-85% of previous training max, or run a "bridge"
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cycle to rebuild work capacity first
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## General Coaching Notes
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- Start conservatively and add volume/intensity based on feedback
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- Prefer submaximal training (~80%) for most of the year; peak sparingly
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- Change one variable at a time (volume OR intensity, never both)
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- A bad workout is not a crisis — just deload or reset and keep going
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- Weight loss is driven primarily by diet; training preserves muscle during a
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cut
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- Blood pressure and gout benefit from consistent cardio, hydration, and weight
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management
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119
.agents/skills/fitness-workout/scripts/workout.py
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.agents/skills/fitness-workout/scripts/workout.py
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#!/usr/bin/env python3
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"""Helper utilities for the fitness trainer agent.
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Usage:
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workout.py e1rm <weight> <reps> # Estimate 1RM (Epley)
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workout.py volume <sets> <reps> <weight> # Total tonnage
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workout.py training-max <e1rm> [pct] # Training max (default 90%)
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workout.py cycle <tm> <rep-scheme> # Suggest weights for a wave
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Examples:
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workout.py e1rm 185 5
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workout.py volume 3 5 185
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workout.py training-max 210
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workout.py cycle 200 5x5
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"""
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import sys
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import math
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def e1rm(weight: float, reps: int) -> float:
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"""Estimate 1RM using the Epley formula."""
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if reps == 0:
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return weight
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if reps == 1:
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return weight
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return weight * (1 + reps / 30)
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def volume(sets: int, reps: int, weight: float) -> float:
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"""Calculate total tonnage."""
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return sets * reps * weight
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def training_max(e1rm_val: float, pct: float = 0.90) -> float:
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"""Calculate training max as a percentage of e1RM."""
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return e1rm_val * pct
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def round_to_nearest(weight: float, increment: float = 5.0) -> float:
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"""Round weight to the nearest plate increment."""
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return round(weight / increment) * increment
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def suggest_cycle_weights(tm: float, sets: int, reps: int, steps: int = 4):
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"""Suggest wave weights from ~80% to ~95% of training max.
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Args:
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tm: Training max
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sets: Sets per exercise
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reps: Reps per set (target)
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steps: Number of weeks in the wave
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"""
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print(f"Training max: {tm}lb")
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print(f"Scheme: {sets}x{reps}")
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print()
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for week in range(steps):
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pct = 0.80 + week * 0.05
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week_weight = round_to_nearest(tm * pct)
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print(f" Week {week + 1}: {int(pct * 100)}% = {int(week_weight)}lb")
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def main():
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if len(sys.argv) < 2:
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print(__doc__)
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sys.exit(1)
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cmd = sys.argv[1]
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if cmd == "e1rm":
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if len(sys.argv) < 4:
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print("Usage: workout.py e1rm <weight> <reps>")
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sys.exit(1)
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w = float(sys.argv[2])
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r = int(sys.argv[3])
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est = round_to_nearest(e1rm(w, r))
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print(f"e1RM: {int(est)}lb")
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elif cmd == "volume":
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if len(sys.argv) < 5:
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print("Usage: workout.py volume <sets> <reps> <weight>")
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sys.exit(1)
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s = int(sys.argv[2])
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r = int(sys.argv[3])
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w = float(sys.argv[4])
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print(f"Volume: {int(volume(s, r, w))}lb")
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elif cmd == "training-max":
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if len(sys.argv) < 3:
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print("Usage: workout.py training-max <e1rm> [pct]")
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sys.exit(1)
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e = float(sys.argv[2])
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p = float(sys.argv[3]) if len(sys.argv) > 3 else 0.90
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tm = round_to_nearest(training_max(e, p))
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print(f"Training max: {int(tm)}lb")
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elif cmd == "cycle":
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if len(sys.argv) < 4:
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print("Usage: workout.py cycle <tm> <rep-scheme>")
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sys.exit(1)
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tm = float(sys.argv[2])
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scheme = sys.argv[3]
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try:
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parts = scheme.lower().split("x")
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sets = int(parts[0])
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reps = int(parts[1])
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except (IndexError, ValueError):
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print(f"Invalid scheme '{scheme}'. Use format like 3x5 or 5x5.")
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sys.exit(1)
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suggest_cycle_weights(tm, sets, reps)
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else:
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print(f"Unknown command: {cmd}")
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print(__doc__)
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sys.exit(1)
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if __name__ == "__main__":
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main()
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124
.agents/skills/google-sheets-automation/SKILL.md
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.agents/skills/google-sheets-automation/SKILL.md
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---
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name: google-sheets-automation
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description: "Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access."
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risk: safe
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---
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# Google Sheets
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Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
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## Prerequisites
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```bash
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uv sync
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source .venv/bin/activate
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```
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## First-Time Setup
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Authenticate with Google (opens browser):
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```bash
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python .agents/skills/google-sheets-automation/scripts/auth.py login
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```
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Check authentication status:
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```bash
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python .agents/skills/google-sheets-automation/scripts/auth.py status
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```
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Logout when needed:
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```bash
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python .agents/skills/google-sheets-automation/scripts/auth.py logout
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```
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## Read Commands
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```bash
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# Get spreadsheet content as plain text (default)
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python .agents/skills/google-sheets-automation/scripts/sheets.py get-text SPREADSHEET_ID
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# Get spreadsheet content as CSV
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python .agents/skills/google-sheets-automation/scripts/sheets.py get-text SPREADSHEET_ID --format csv
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# Get spreadsheet content as JSON
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python .agents/skills/google-sheets-automation/scripts/sheets.py get-text SPREADSHEET_ID --format json
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# Get values from a specific range (A1 notation)
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python .agents/skills/google-sheets-automation/scripts/sheets.py get-range SPREADSHEET_ID "Sheet1!A1:D10"
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# Find spreadsheets by search query
|
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python .agents/skills/google-sheets-automation/scripts/sheets.py find "budget 2024"
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# Get spreadsheet metadata
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python .agents/skills/google-sheets-automation/scripts/sheets.py get-metadata SPREADSHEET_ID
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|
```
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|
||||||
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## Write Commands
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|
|
||||||
|
```bash
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|
# Update a range of cells with values (JSON 2D array)
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||||||
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python .agents/skills/google-sheets-automation/scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B2" '[["Hello","World"],["Foo","Bar"]]'
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||||||
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|
||||||
|
# Update with RAW input (no formula parsing)
|
||||||
|
python .agents/skills/google-sheets-automation/scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B1" '[["=SUM(A1:A5)","text"]]' --raw
|
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|
|
||||||
|
# Append rows after the last data row
|
||||||
|
python .agents/skills/google-sheets-automation/scripts/sheets.py append-rows SPREADSHEET_ID "Sheet1!A:Z" '[["New Row Col A","New Row Col B"]]'
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||||||
|
|
||||||
|
# Clear values from a range (keeps formatting)
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|
python .agents/skills/google-sheets-automation/scripts/sheets.py clear-range SPREADSHEET_ID "Sheet1!A1:B10"
|
||||||
|
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||||||
|
# Batch update (advanced - for formatting, merging, etc.)
|
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|
python .agents/skills/google-sheets-automation/scripts/sheets.py batch-update SPREADSHEET_ID '[{"updateCells":{"range":{"sheetId":0},"fields":"userEnteredValue"}}]'
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||||||
|
```
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|
|
||||||
|
## Spreadsheet ID
|
||||||
|
|
||||||
|
You can use either:
|
||||||
|
- The spreadsheet ID: `1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms`
|
||||||
|
- The full URL: `https://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit`
|
||||||
|
|
||||||
|
The script automatically extracts the ID from URLs.
|
||||||
|
|
||||||
|
## Output Formats
|
||||||
|
|
||||||
|
### Text (default)
|
||||||
|
```
|
||||||
|
Name | Revenue | Units
|
||||||
|
Product A | 10000 | 50
|
||||||
|
```
|
||||||
|
|
||||||
|
### CSV
|
||||||
|
```
|
||||||
|
Name,Revenue,Units
|
||||||
|
Product A,10000,50
|
||||||
|
```
|
||||||
|
|
||||||
|
### JSON
|
||||||
|
```json
|
||||||
|
{
|
||||||
|
"Q1": [
|
||||||
|
["Name", "Revenue", "Units"],
|
||||||
|
["Product A", "10000", "50"]
|
||||||
|
]
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
## A1 Notation Examples
|
||||||
|
|
||||||
|
- `Sheet1!A1:B10` - Range A1 to B10 on Sheet1
|
||||||
|
- `Sheet1!A:A` - All of column A
|
||||||
|
- `Sheet1!1:1` - All of row 1
|
||||||
|
- `A1:C5` - Range on the first sheet
|
||||||
|
|
||||||
|
## Token Management
|
||||||
|
|
||||||
|
Tokens stored securely using the system keyring:
|
||||||
|
- **macOS**: Keychain
|
||||||
|
- **Windows**: Windows Credential Locker
|
||||||
|
- **Linux**: Secret Service API (GNOME Keyring, KDE Wallet, etc.)
|
||||||
|
|
||||||
|
Service name: `google-sheets-skill-oauth`
|
||||||
|
|
||||||
|
Tokens automatically refresh when expired.
|
||||||
141
.agents/skills/google-sheets-automation/scripts/auth.py
Normal file
141
.agents/skills/google-sheets-automation/scripts/auth.py
Normal file
@ -0,0 +1,141 @@
|
|||||||
|
import argparse
|
||||||
|
import json
|
||||||
|
import os
|
||||||
|
import sys
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
|
||||||
|
|
||||||
|
from google.auth.transport.requests import Request
|
||||||
|
from google.oauth2.credentials import Credentials
|
||||||
|
from google_auth_oauthlib.flow import InstalledAppFlow
|
||||||
|
|
||||||
|
SCOPES = ["https://www.googleapis.com/auth/spreadsheets"]
|
||||||
|
SERVICE_NAME = "google-sheets-skill-oauth"
|
||||||
|
|
||||||
|
try:
|
||||||
|
import keyring
|
||||||
|
HAS_KEYRING = True
|
||||||
|
except ImportError:
|
||||||
|
HAS_KEYRING = False
|
||||||
|
|
||||||
|
|
||||||
|
def get_token_dir():
|
||||||
|
path = os.environ.get("GOOGLE_SHEETS_TOKEN_DIR")
|
||||||
|
if path:
|
||||||
|
return Path(path)
|
||||||
|
default = Path.home() / ".config" / "google-sheets-skill"
|
||||||
|
default.mkdir(parents=True, exist_ok=True)
|
||||||
|
return default
|
||||||
|
|
||||||
|
|
||||||
|
def _load_creds():
|
||||||
|
token_file = get_token_dir() / "token.json"
|
||||||
|
if token_file.exists():
|
||||||
|
return Credentials.from_authorized_user_file(str(token_file), SCOPES)
|
||||||
|
if HAS_KEYRING:
|
||||||
|
stored = keyring.get_password(SERVICE_NAME, "token")
|
||||||
|
if stored:
|
||||||
|
return Credentials.from_authorized_user_info(json.loads(stored), SCOPES)
|
||||||
|
return None
|
||||||
|
|
||||||
|
|
||||||
|
def _save_creds(creds):
|
||||||
|
get_token_dir().mkdir(parents=True, exist_ok=True)
|
||||||
|
token_file = get_token_dir() / "token.json"
|
||||||
|
token_file.write_text(creds.to_json())
|
||||||
|
token_file.chmod(0o600)
|
||||||
|
if HAS_KEYRING:
|
||||||
|
keyring.set_password(SERVICE_NAME, "token", creds.to_json())
|
||||||
|
|
||||||
|
|
||||||
|
def _find_creds_file():
|
||||||
|
env_path = os.environ.get("GOOGLE_SHEETS_CREDS")
|
||||||
|
if env_path:
|
||||||
|
return Path(env_path)
|
||||||
|
alongside = Path(__file__).parent / "credentials.json"
|
||||||
|
if alongside.exists():
|
||||||
|
return alongside
|
||||||
|
return Path.home() / ".config" / "google-sheets-skill" / "credentials.json"
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_login():
|
||||||
|
creds_file = _find_creds_file()
|
||||||
|
if not creds_file.exists():
|
||||||
|
print(
|
||||||
|
f"credentials.json not found at {creds_file}\n"
|
||||||
|
"Download it from Google Cloud Console:\n"
|
||||||
|
"1. Go to https://console.cloud.google.com/\n"
|
||||||
|
"2. Create a project → Enable Sheets API\n"
|
||||||
|
"3. Create OAuth 2.0 Client ID → Desktop App\n"
|
||||||
|
"4. Download as credentials.json\n"
|
||||||
|
"5. Save to: " + str(creds_file) + "\n\n"
|
||||||
|
"Or set GOOGLE_SHEETS_CREDS env var to its location."
|
||||||
|
)
|
||||||
|
sys.exit(1)
|
||||||
|
|
||||||
|
flow = InstalledAppFlow.from_client_secrets_file(str(creds_file), SCOPES)
|
||||||
|
creds = flow.run_local_server(port=0)
|
||||||
|
_save_creds(creds)
|
||||||
|
print(f"Authenticated successfully. Token saved to {get_token_dir() / 'token.json'}")
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_status():
|
||||||
|
creds = _load_creds()
|
||||||
|
if not creds:
|
||||||
|
print("Not authenticated. Run: python .agents/skills/google-sheets-automation/scripts/auth.py login")
|
||||||
|
sys.exit(1)
|
||||||
|
if not creds.valid:
|
||||||
|
if creds.expired and creds.refresh_token:
|
||||||
|
creds.refresh(Request())
|
||||||
|
_save_creds(creds)
|
||||||
|
print("Token was expired; refreshed successfully.")
|
||||||
|
else:
|
||||||
|
print("Token is invalid. Re-authenticate: python .agents/skills/google-sheets-automation/scripts/auth.py login")
|
||||||
|
sys.exit(1)
|
||||||
|
print(f"Authenticated as: {creds.token[:20]}...")
|
||||||
|
print(f"Expires at: {creds.expiry}")
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_logout():
|
||||||
|
token_file = get_token_dir() / "token.json"
|
||||||
|
if token_file.exists():
|
||||||
|
token_file.unlink()
|
||||||
|
if HAS_KEYRING:
|
||||||
|
try:
|
||||||
|
keyring.delete_password(SERVICE_NAME, "token")
|
||||||
|
except keyring.errors.PasswordDeleteError:
|
||||||
|
pass
|
||||||
|
print("Logged out. Token deleted.")
|
||||||
|
|
||||||
|
|
||||||
|
def get_credentials():
|
||||||
|
creds = _load_creds()
|
||||||
|
if not creds:
|
||||||
|
print("Not authenticated. Run: python .agents/skills/google-sheets-automation/scripts/auth.py login", file=sys.stderr)
|
||||||
|
sys.exit(1)
|
||||||
|
if not creds.valid:
|
||||||
|
if creds.expired and creds.refresh_token:
|
||||||
|
creds.refresh(Request())
|
||||||
|
_save_creds(creds)
|
||||||
|
else:
|
||||||
|
print("Token is invalid. Re-authenticate: python .agents/skills/google-sheets-automation/scripts/auth.py login", file=sys.stderr)
|
||||||
|
sys.exit(1)
|
||||||
|
return creds
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
parser = argparse.ArgumentParser(description="Google Sheets Auth")
|
||||||
|
parser.add_argument("command", choices=["login", "status", "logout"])
|
||||||
|
args = parser.parse_args()
|
||||||
|
|
||||||
|
if args.command == "login":
|
||||||
|
cmd_login()
|
||||||
|
elif args.command == "status":
|
||||||
|
cmd_status()
|
||||||
|
elif args.command == "logout":
|
||||||
|
cmd_logout()
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
268
.agents/skills/google-sheets-automation/scripts/sheets.py
Normal file
268
.agents/skills/google-sheets-automation/scripts/sheets.py
Normal file
@ -0,0 +1,268 @@
|
|||||||
|
import argparse
|
||||||
|
import csv
|
||||||
|
import io
|
||||||
|
import json
|
||||||
|
import os
|
||||||
|
import re
|
||||||
|
import sys
|
||||||
|
|
||||||
|
from googleapiclient.discovery import build
|
||||||
|
from googleapiclient.errors import HttpError
|
||||||
|
|
||||||
|
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
|
||||||
|
from auth import get_credentials
|
||||||
|
|
||||||
|
|
||||||
|
def _get_sheets_service():
|
||||||
|
creds = get_credentials()
|
||||||
|
return build("sheets", "v4", credentials=creds)
|
||||||
|
|
||||||
|
|
||||||
|
def _extract_spreadsheet_id(value):
|
||||||
|
match = re.search(r"/spreadsheets/d/([a-zA-Z0-9_-]+)", value)
|
||||||
|
if match:
|
||||||
|
return match.group(1)
|
||||||
|
return value
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_get_text(args):
|
||||||
|
service = _get_sheets_service()
|
||||||
|
sid = _extract_spreadsheet_id(args.spreadsheet_id)
|
||||||
|
|
||||||
|
meta = service.spreadsheets().get(spreadsheetId=sid).execute()
|
||||||
|
title = meta.get("properties", {}).get("title", "Untitled")
|
||||||
|
|
||||||
|
output = io.StringIO()
|
||||||
|
for sheet in meta.get("sheets", []):
|
||||||
|
props = sheet.get("properties", {})
|
||||||
|
sheet_name = props.get("title", "Sheet1")
|
||||||
|
output.write(f"\n=== {sheet_name} ===\n")
|
||||||
|
|
||||||
|
result = service.spreadsheets().values().get(
|
||||||
|
spreadsheetId=sid, range=sheet_name
|
||||||
|
).execute()
|
||||||
|
rows = result.get("values", [])
|
||||||
|
|
||||||
|
if not rows:
|
||||||
|
output.write("(empty)\n")
|
||||||
|
continue
|
||||||
|
|
||||||
|
if args.format == "csv":
|
||||||
|
writer = csv.writer(output)
|
||||||
|
for row in rows:
|
||||||
|
writer.writerow(row)
|
||||||
|
output.write("\n")
|
||||||
|
elif args.format == "json":
|
||||||
|
headers = rows[0] if rows else []
|
||||||
|
data = [dict(zip(headers, row)) for row in rows[1:]] if args.format == "json" else rows
|
||||||
|
output.write(json.dumps({title: data if args.format == "json" else rows}, indent=2))
|
||||||
|
output.write("\n")
|
||||||
|
else:
|
||||||
|
output.write(f"Sheet: {sheet_name}\n")
|
||||||
|
for row in rows:
|
||||||
|
output.write(" | ".join(row) + "\n")
|
||||||
|
output.write("\n")
|
||||||
|
|
||||||
|
print(output.getvalue().strip())
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_get_range(args):
|
||||||
|
service = _get_sheets_service()
|
||||||
|
sid = _extract_spreadsheet_id(args.spreadsheet_id)
|
||||||
|
|
||||||
|
result = service.spreadsheets().values().get(
|
||||||
|
spreadsheetId=sid, range=args.range
|
||||||
|
).execute()
|
||||||
|
rows = result.get("values", [])
|
||||||
|
|
||||||
|
if not rows:
|
||||||
|
print("(empty)")
|
||||||
|
return
|
||||||
|
|
||||||
|
for row in rows:
|
||||||
|
print(" | ".join(row))
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_find(args):
|
||||||
|
service = _get_sheets_service()
|
||||||
|
result = service.spreadsheets().get(
|
||||||
|
spreadsheetId="me", fields="files(id,name,mimeType)"
|
||||||
|
).execute()
|
||||||
|
|
||||||
|
drive_service = build("drive", "v3", credentials=get_credentials())
|
||||||
|
query = f"name contains '{args.query}' and mimeType = 'application/vnd.google-apps.spreadsheet'"
|
||||||
|
results = drive_service.files().list(
|
||||||
|
q=query,
|
||||||
|
pageSize=args.limit,
|
||||||
|
fields="files(id, name, modifiedTime)"
|
||||||
|
).execute()
|
||||||
|
files = results.get("files", [])
|
||||||
|
|
||||||
|
if not files:
|
||||||
|
print(f"No spreadsheets found matching '{args.query}'")
|
||||||
|
return
|
||||||
|
|
||||||
|
for f in files:
|
||||||
|
print(f"{f['name']:60s} {f['id']:50s} {f.get('modifiedTime', '')}")
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_get_metadata(args):
|
||||||
|
service = _get_sheets_service()
|
||||||
|
sid = _extract_spreadsheet_id(args.spreadsheet_id)
|
||||||
|
|
||||||
|
meta = service.spreadsheets().get(spreadsheetId=sid).execute()
|
||||||
|
props = meta.get("properties", {})
|
||||||
|
print(f"Title: {props.get('title')}")
|
||||||
|
print(f"Locale: {props.get('locale')}")
|
||||||
|
print(f"Timezone: {props.get('timeZone')}")
|
||||||
|
print(f"URL: https://docs.google.com/spreadsheets/d/{sid}/edit")
|
||||||
|
print()
|
||||||
|
for sheet in meta.get("sheets", []):
|
||||||
|
sp = sheet.get("properties", {})
|
||||||
|
print(f" Sheet: {sp.get('title')} (id={sp.get('sheetId')})")
|
||||||
|
grid = sp.get("gridProperties", {})
|
||||||
|
print(f" Rows: {grid.get('rowCount')}, Cols: {grid.get('columnCount')}")
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_update_range(args):
|
||||||
|
service = _get_sheets_service()
|
||||||
|
sid = _extract_spreadsheet_id(args.spreadsheet_id)
|
||||||
|
|
||||||
|
try:
|
||||||
|
values = json.loads(args.values)
|
||||||
|
except json.JSONDecodeError as e:
|
||||||
|
print(f"Invalid JSON: {e}")
|
||||||
|
sys.exit(1)
|
||||||
|
|
||||||
|
body = {
|
||||||
|
"range": args.range,
|
||||||
|
"values": values,
|
||||||
|
"majorDimension": "ROWS",
|
||||||
|
}
|
||||||
|
value_input = "RAW" if args.raw else "USER_ENTERED"
|
||||||
|
|
||||||
|
result = service.spreadsheets().values().update(
|
||||||
|
spreadsheetId=sid,
|
||||||
|
range=args.range,
|
||||||
|
valueInputOption=value_input,
|
||||||
|
body=body,
|
||||||
|
).execute()
|
||||||
|
print(f"Updated {result.get('updatedCells')} cells.")
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_append_rows(args):
|
||||||
|
service = _get_sheets_service()
|
||||||
|
sid = _extract_spreadsheet_id(args.spreadsheet_id)
|
||||||
|
|
||||||
|
try:
|
||||||
|
values = json.loads(args.values)
|
||||||
|
except json.JSONDecodeError as e:
|
||||||
|
print(f"Invalid JSON: {e}")
|
||||||
|
sys.exit(1)
|
||||||
|
|
||||||
|
body = {
|
||||||
|
"range": args.range,
|
||||||
|
"values": values,
|
||||||
|
"majorDimension": "ROWS",
|
||||||
|
}
|
||||||
|
|
||||||
|
result = service.spreadsheets().values().append(
|
||||||
|
spreadsheetId=sid,
|
||||||
|
range=args.range,
|
||||||
|
valueInputOption="USER_ENTERED",
|
||||||
|
insertDataOption="INSERT_ROWS",
|
||||||
|
body=body,
|
||||||
|
).execute()
|
||||||
|
print(f"Appended to {result.get('updates', {}).get('updatedRange')}")
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_clear_range(args):
|
||||||
|
service = _get_sheets_service()
|
||||||
|
sid = _extract_spreadsheet_id(args.spreadsheet_id)
|
||||||
|
|
||||||
|
result = service.spreadsheets().values().clear(
|
||||||
|
spreadsheetId=sid, range=args.range, body={}
|
||||||
|
).execute()
|
||||||
|
print(f"Cleared range: {result.get('clearedRange')}")
|
||||||
|
|
||||||
|
|
||||||
|
def cmd_batch_update(args):
|
||||||
|
service = _get_sheets_service()
|
||||||
|
sid = _extract_spreadsheet_id(args.spreadsheet_id)
|
||||||
|
|
||||||
|
try:
|
||||||
|
requests = json.loads(args.requests_json)
|
||||||
|
except json.JSONDecodeError as e:
|
||||||
|
print(f"Invalid JSON: {e}")
|
||||||
|
sys.exit(1)
|
||||||
|
|
||||||
|
body = {"requests": requests if isinstance(requests, list) else [requests]}
|
||||||
|
|
||||||
|
result = service.spreadsheets().batchUpdate(
|
||||||
|
spreadsheetId=sid, body=body
|
||||||
|
).execute()
|
||||||
|
print(f"Batch update completed. Replies: {len(result.get('replies', []))}")
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
parser = argparse.ArgumentParser(description="Google Sheets Operations")
|
||||||
|
sub = parser.add_subparsers(dest="command")
|
||||||
|
|
||||||
|
p = sub.add_parser("get-text", help="Get spreadsheet content as text/csv/json")
|
||||||
|
p.add_argument("spreadsheet_id", help="Spreadsheet ID or URL")
|
||||||
|
p.add_argument("--format", choices=["text", "csv", "json"], default="text")
|
||||||
|
|
||||||
|
p = sub.add_parser("get-range", help="Get values from a specific range")
|
||||||
|
p.add_argument("spreadsheet_id", help="Spreadsheet ID or URL")
|
||||||
|
p.add_argument("range", help="Range in A1 notation (e.g. Sheet1!A1:D10)")
|
||||||
|
|
||||||
|
p = sub.add_parser("find", help="Find spreadsheets by name")
|
||||||
|
p.add_argument("query", help="Search query")
|
||||||
|
p.add_argument("--limit", type=int, default=10)
|
||||||
|
|
||||||
|
p = sub.add_parser("get-metadata", help="Get spreadsheet metadata")
|
||||||
|
p.add_argument("spreadsheet_id", help="Spreadsheet ID or URL")
|
||||||
|
|
||||||
|
p = sub.add_parser("update-range", help="Update a range of cells")
|
||||||
|
p.add_argument("spreadsheet_id", help="Spreadsheet ID or URL")
|
||||||
|
p.add_argument("range", help="Range in A1 notation")
|
||||||
|
p.add_argument("values", help="JSON 2D array of values")
|
||||||
|
p.add_argument("--raw", action="store_true", help="Use RAW input (no formula parsing)")
|
||||||
|
|
||||||
|
p = sub.add_parser("append-rows", help="Append rows to a sheet")
|
||||||
|
p.add_argument("spreadsheet_id", help="Spreadsheet ID or URL")
|
||||||
|
p.add_argument("range", help="Range in A1 notation (e.g. Sheet1!A:Z)")
|
||||||
|
p.add_argument("values", help="JSON 2D array of rows")
|
||||||
|
|
||||||
|
p = sub.add_parser("clear-range", help="Clear values from a range")
|
||||||
|
p.add_argument("spreadsheet_id", help="Spreadsheet ID or URL")
|
||||||
|
p.add_argument("range", help="Range in A1 notation")
|
||||||
|
|
||||||
|
p = sub.add_parser("batch-update", help="Advanced batch update")
|
||||||
|
p.add_argument("spreadsheet_id", help="Spreadsheet ID or URL")
|
||||||
|
p.add_argument("requests_json", help="JSON array of batch update requests")
|
||||||
|
|
||||||
|
args = parser.parse_args()
|
||||||
|
|
||||||
|
if args.command == "get-text":
|
||||||
|
cmd_get_text(args)
|
||||||
|
elif args.command == "get-range":
|
||||||
|
cmd_get_range(args)
|
||||||
|
elif args.command == "find":
|
||||||
|
cmd_find(args)
|
||||||
|
elif args.command == "get-metadata":
|
||||||
|
cmd_get_metadata(args)
|
||||||
|
elif args.command == "update-range":
|
||||||
|
cmd_update_range(args)
|
||||||
|
elif args.command == "append-rows":
|
||||||
|
cmd_append_rows(args)
|
||||||
|
elif args.command == "clear-range":
|
||||||
|
cmd_clear_range(args)
|
||||||
|
elif args.command == "batch-update":
|
||||||
|
cmd_batch_update(args)
|
||||||
|
else:
|
||||||
|
parser.print_help()
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
24
.gitignore
vendored
Normal file
24
.gitignore
vendored
Normal file
@ -0,0 +1,24 @@
|
|||||||
|
# Python
|
||||||
|
__pycache__/
|
||||||
|
*.py[cod]
|
||||||
|
*.egg-info/
|
||||||
|
dist/
|
||||||
|
build/
|
||||||
|
|
||||||
|
# Virtual environment
|
||||||
|
.venv/
|
||||||
|
|
||||||
|
# Google Sheets OAuth credentials
|
||||||
|
**/credentials.json
|
||||||
|
**/token.json
|
||||||
|
gdrive_audit.log
|
||||||
|
|
||||||
|
# OS
|
||||||
|
.DS_Store
|
||||||
|
Thumbs.db
|
||||||
|
|
||||||
|
# IDE
|
||||||
|
.vscode/
|
||||||
|
.idea/
|
||||||
|
*.swp
|
||||||
|
*.swo
|
||||||
3
.gitmodules
vendored
Normal file
3
.gitmodules
vendored
Normal file
@ -0,0 +1,3 @@
|
|||||||
|
[submodule "third_party/opencode-awesome-skills"]
|
||||||
|
path = third_party/opencode-awesome-skills
|
||||||
|
url = https://github.com/EdEngineering/opencode-awesome-skills.git
|
||||||
76
.opencode/agents/fitness-trainer.md
Normal file
76
.opencode/agents/fitness-trainer.md
Normal file
@ -0,0 +1,76 @@
|
|||||||
|
---
|
||||||
|
description: >
|
||||||
|
Your personal fitness trainer. Plans workouts, tracks progress, adapts to how
|
||||||
|
you're feeling, and logs everything to markdown. Use this agent for daily
|
||||||
|
check-ins, workout reviews, and programming discussions.
|
||||||
|
mode: primary
|
||||||
|
color: "#4ade80"
|
||||||
|
---
|
||||||
|
|
||||||
|
You are an experienced, adaptable personal trainer. Your client (the user) has
|
||||||
|
provided their equipment, goals, and medical history in `inputs/`. Their
|
||||||
|
historical lifting data is in `inputs/Juggernaut training.xlsx`.
|
||||||
|
|
||||||
|
Your job is to guide them through their fitness journey. Be encouraging but
|
||||||
|
honest. You are their single point of contact for training chat.
|
||||||
|
|
||||||
|
## Guidelines
|
||||||
|
|
||||||
|
- Always consider their medical history (especially the distal radius fracture)
|
||||||
|
and available equipment when programming
|
||||||
|
- Reference their goals (weight control, blood pressure, strength, endurance)
|
||||||
|
when giving advice or adjusting plans
|
||||||
|
- If they're interested in a specific program methodology (Juggernaut,
|
||||||
|
Stronglifts 5x5, etc.), use their training history to pick up where they left
|
||||||
|
off or start a new cycle
|
||||||
|
- If they want something new, design intelligently using the programming
|
||||||
|
principles in the `fitness-workout` skill
|
||||||
|
- Logs are written to `logs/workouts/` and `logs/checkins/`. Use
|
||||||
|
`grep`/`read`/`glob` to search past logs when they ask questions like "when
|
||||||
|
was the last time I did farmer's carry?"
|
||||||
|
|
||||||
|
## Check-in Workflow
|
||||||
|
|
||||||
|
When they want to check in, follow this structure:
|
||||||
|
|
||||||
|
1. **Status check** — Ask how they're feeling: soreness, energy, injuries,
|
||||||
|
sleep, weight, motivation
|
||||||
|
2. **Review** — Check the last planned workout log. Did they complete it? How
|
||||||
|
did each exercise feel? Update the log with results if needed
|
||||||
|
3. **Adjust** — Based on feedback + programming guidelines + history, adjust
|
||||||
|
the next session (weight, volume, exercise selection, or rest day)
|
||||||
|
4. **Plan** — Write a new workout plan to `logs/workouts/<YYYY-MM-DD>-<slug>.md`
|
||||||
|
with exercises, sets, reps, weights, and any notes. Present it to them
|
||||||
|
5. **Log** — Write a brief check-in entry to `logs/checkins/<YYYY-MM-DD>-checkin.md`
|
||||||
|
summarizing the conversation and any decisions made
|
||||||
|
|
||||||
|
## Log format
|
||||||
|
|
||||||
|
Workout plan log:
|
||||||
|
```markdown
|
||||||
|
# Workout: <Name>
|
||||||
|
**Date:** <YYYY-MM-DD>
|
||||||
|
**Program:** <program name or "Custom">
|
||||||
|
**Status:** Plan
|
||||||
|
|
||||||
|
## Exercises
|
||||||
|
- <Exercise>: <sets>x<reps> @ <weight> <notes>
|
||||||
|
- ...
|
||||||
|
|
||||||
|
## Notes
|
||||||
|
<context for the session>
|
||||||
|
```
|
||||||
|
|
||||||
|
After completion, update the **Status** to "Complete" and add results inline:
|
||||||
|
```markdown
|
||||||
|
- Bench Press: 3x5 @ 185lb — completed (RPE 8)
|
||||||
|
```
|
||||||
|
|
||||||
|
Check-in log:
|
||||||
|
```markdown
|
||||||
|
# Check-in: <YYYY-MM-DD>
|
||||||
|
**Feeling:** <summary>
|
||||||
|
**Review:** <what was reviewed>
|
||||||
|
**Adjustments:** <changes made>
|
||||||
|
**Next session:** <reference to workout log>
|
||||||
|
```
|
||||||
54
AGENTS.md
Normal file
54
AGENTS.md
Normal file
@ -0,0 +1,54 @@
|
|||||||
|
# Agent Setup Log
|
||||||
|
|
||||||
|
## Google Sheets Automation Skill
|
||||||
|
|
||||||
|
Installed the `google-sheets-automation` skill from [opencode-awesome-skills](https://github.com/EdEngineering/opencode-awesome-skills.git).
|
||||||
|
|
||||||
|
### Files created
|
||||||
|
|
||||||
|
- `.agents/skills/google-sheets-automation/SKILL.md` — skill instructions for the agent
|
||||||
|
- `.agents/skills/google-sheets-automation/scripts/auth.py` — OAuth2 login/logout/status
|
||||||
|
- `.agents/skills/google-sheets-automation/scripts/sheets.py` — read/write/find/metadata operations
|
||||||
|
- `pyproject.toml` — project config + deps for `uv sync`
|
||||||
|
- `third_party/opencode-awesome-skills/` — git submodule of upstream skill repo
|
||||||
|
|
||||||
|
### Setup commands
|
||||||
|
|
||||||
|
```bash
|
||||||
|
uv sync # install deps
|
||||||
|
source .venv/bin/activate # activate venv
|
||||||
|
```
|
||||||
|
|
||||||
|
### First-time auth
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python .agents/skills/google-sheets-automation/scripts/auth.py login
|
||||||
|
```
|
||||||
|
|
||||||
|
You'll need a `credentials.json` from Google Cloud Console (Sheets API enabled, OAuth 2.0 Desktop App).
|
||||||
|
|
||||||
|
### Usage
|
||||||
|
|
||||||
|
All commands go through `scripts/sheets.py`:
|
||||||
|
- `get-text`, `get-range`, `find`, `get-metadata` (read)
|
||||||
|
- `update-range`, `append-rows`, `clear-range`, `batch-update` (write)
|
||||||
|
|
||||||
|
See the SKILL.md for full docs.
|
||||||
|
|
||||||
|
### Submodule
|
||||||
|
|
||||||
|
```bash
|
||||||
|
git submodule update --init --recursive # clone third_party deps
|
||||||
|
```
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## Fitness Trainer Agent
|
||||||
|
|
||||||
|
- **Agent config**: `.opencode/agents/fitness-trainer.md` — a primary agent that acts as your personal trainer
|
||||||
|
- **Workout programming skill**: `.agents/skills/fitness-workout/` — methodology guidelines and helpers
|
||||||
|
- **Workout/check-in logs**: `logs/workouts/` and `logs/checkins/` — markdown files written by the agent
|
||||||
|
|
||||||
|
### Historical data
|
||||||
|
|
||||||
|
`inputs/Juggernaut training.xlsx` was downloaded from Google Sheets (previous Juggernaut training cycles from before 2025). Google Sheets auth can be set up later if needed — see the Google Sheets Automation Skill above.
|
||||||
6
design.md
Normal file
6
design.md
Normal file
@ -0,0 +1,6 @@
|
|||||||
|
# Goal
|
||||||
|
Design an agent-based personal trainer. This will help adaptively guide me by planning weekly workouts, tracking my injuries and lifting status, and helping with diet as needed. I want to focus on providing daily workouts.
|
||||||
|
|
||||||
|
The system should include utilities and possibly skills that will enable the agent-based trainer to review progress and adjust my workouts based on that in order to satisfy my goals and preferences. Information about my setup and goals will be available initially in markdown files in the inputs/ directory.
|
||||||
|
|
||||||
|
I'd like to be able to converse about my fitness level, workout experience, how I'm feeling etc and have the agent provide feedback and adjust the plan accordingly. I'd also like it to log what was done for future reference. I want to have a check-in step where I can check in and it will ask whether I did my workouts, what my experience was etc (like a review) and then give me my daily or weekly workout schedule.
|
||||||
BIN
inputs/Juggernaut training.xlsx
Normal file
BIN
inputs/Juggernaut training.xlsx
Normal file
Binary file not shown.
23
inputs/equipment.md
Normal file
23
inputs/equipment.md
Normal file
@ -0,0 +1,23 @@
|
|||||||
|
Home gym equipment:
|
||||||
|
|
||||||
|
- Squat rack with pullup bar
|
||||||
|
- Incline bench for bench/incline bench
|
||||||
|
- Olympic bar bells: 45 lb men’s and 35 lb women’s
|
||||||
|
- Olympic curl bar
|
||||||
|
- Adjustable dumbbells
|
||||||
|
- Landmine
|
||||||
|
- Pulldown: basic, cannot do heavy because I don’t have a way to hold myself down
|
||||||
|
- Tib bar
|
||||||
|
- Slant board
|
||||||
|
- Gravity inversion boots so i can hang upside down from pullup bar
|
||||||
|
- 30 lb slam ball
|
||||||
|
- Forearm roller
|
||||||
|
- Concept2 bikeerg exercise bike
|
||||||
|
- Concept2 rowerg
|
||||||
|
- Farmer’s carry handles
|
||||||
|
- Olympic plates, including bumper plates
|
||||||
|
- Ab roller
|
||||||
|
- Freak athlete nordic hyper pro bench
|
||||||
|
|
||||||
|
I live on a steep hill and I have a steep trail behind my house with a half mile trail to the top of a ridge that includes a couple hundred feet elevation change
|
||||||
|
|
||||||
5
inputs/goals.md
Normal file
5
inputs/goals.md
Normal file
@ -0,0 +1,5 @@
|
|||||||
|
Exercise goals:
|
||||||
|
- Control my weight for overall health/longevity
|
||||||
|
- Specifically control blood pressure and gout
|
||||||
|
- Build strength (I enjoy lifting heavy)
|
||||||
|
- Increase endurance to support long backpacking/mountaineering trips
|
||||||
14
inputs/medical.md
Normal file
14
inputs/medical.md
Normal file
@ -0,0 +1,14 @@
|
|||||||
|
Medical history:
|
||||||
|
- White Male
|
||||||
|
- Born 11/22/1982
|
||||||
|
- 6 feet tall
|
||||||
|
- History of gout
|
||||||
|
- History of elevated blood pressure
|
||||||
|
- Have lifted heavy previously, in high school and after
|
||||||
|
- Had what I thought were knee issues in past few years which I went to PT for but I suspect it was caused by tightness in glutes and hamstrings. Seems to be better these days
|
||||||
|
- I also had a case of golfer's elbow that I think was due to overcompensating with forearms when doing deadlift and chinups
|
||||||
|
- Broke my left wrist (distal radius fracture) on 05/16/2026 and am having fast recovery following surgery
|
||||||
|
- Always struggled with weight. Used LoseIt! App twice to lose weight
|
||||||
|
- Went from 245 lb to 186 over the course of about 6 months of loseit in 2022. Since then have gained some of it back and am now hovering around 210-215
|
||||||
|
|
||||||
|
|
||||||
0
logs/checkins/.gitkeep
Normal file
0
logs/checkins/.gitkeep
Normal file
0
logs/progress/.gitkeep
Normal file
0
logs/progress/.gitkeep
Normal file
0
logs/workouts/.gitkeep
Normal file
0
logs/workouts/.gitkeep
Normal file
15
pyproject.toml
Normal file
15
pyproject.toml
Normal file
@ -0,0 +1,15 @@
|
|||||||
|
[project]
|
||||||
|
name = "fitness-agent"
|
||||||
|
version = "0.1.0"
|
||||||
|
description = "AI fitness agent with Google Sheets automation"
|
||||||
|
requires-python = ">=3.10"
|
||||||
|
dependencies = [
|
||||||
|
"google-api-python-client>=2.0",
|
||||||
|
"google-auth>=2.0",
|
||||||
|
"google-auth-oauthlib>=1.0",
|
||||||
|
"google-auth-httplib2>=0.1",
|
||||||
|
"keyring>=24.0",
|
||||||
|
]
|
||||||
|
|
||||||
|
[dependency-groups]
|
||||||
|
dev = []
|
||||||
1
third_party/opencode-awesome-skills
vendored
Submodule
1
third_party/opencode-awesome-skills
vendored
Submodule
@ -0,0 +1 @@
|
|||||||
|
Subproject commit 13c8a69fb89d5296a9ee5f0ea7e422b08d9c9fe0
|
||||||
642
uv.lock
generated
Normal file
642
uv.lock
generated
Normal file
@ -0,0 +1,642 @@
|
|||||||
|
version = 1
|
||||||
|
revision = 3
|
||||||
|
requires-python = ">=3.10"
|
||||||
|
resolution-markers = [
|
||||||
|
"python_full_version >= '3.13'",
|
||||||
|
"python_full_version < '3.13'",
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "backports-tarfile"
|
||||||
|
version = "1.2.0"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
sdist = { url = "https://files.pythonhosted.org/packages/86/72/cd9b395f25e290e633655a100af28cb253e4393396264a98bd5f5951d50f/backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991", size = 86406, upload-time = "2024-05-28T17:01:54.731Z" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/b9/fa/123043af240e49752f1c4bd24da5053b6bd00cad78c2be53c0d1e8b975bc/backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34", size = 30181, upload-time = "2024-05-28T17:01:53.112Z" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "certifi"
|
||||||
|
version = "2026.6.17"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
sdist = { url = "https://files.pythonhosted.org/packages/c9/c7/424b75da314c1045981bd9777432fad05a9e0c69daa4ed7e308bbaffe405/certifi-2026.6.17.tar.gz", hash = "sha256:024c88eeec92ca068db80f02b8b07c9cef7b9fe261d1d535abfd5abd6f6af432", size = 134594, upload-time = "2026-06-17T10:31:07.894Z" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/ef/2f/c5464532e965badff2f4c4c1a3a83f5697f0d7c407ed0cda44aaa99bb451/certifi-2026.6.17-py3-none-any.whl", hash = "sha256:2227dcbaafe0d2f59279d1762ddddc37783ed4354594f194ffc31d20f41fc3db", size = 133289, upload-time = "2026-06-17T10:31:06.348Z" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "cffi"
|
||||||
|
version = "2.0.0"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
dependencies = [
|
||||||
|
{ name = "pycparser", marker = "implementation_name != 'PyPy'" },
|
||||||
|
]
|
||||||
|
sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/93/d7/516d984057745a6cd96575eea814fe1edd6646ee6efd552fb7b0921dec83/cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44", size = 184283, upload-time = "2025-09-08T23:22:08.01Z" },
|
||||||
|
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Loading…
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Reference in New Issue
Block a user