trainingpeaks（trainingpeaks 搜索）

TrainingPeaks Skill

CLI access to the TrainingPeaks internal API. Pure Python stdlib — no pip dependencies.

Setup: Getting Your Auth Cookie

1. Log in to TrainingPeaks in your browser
2. Open DevTools → Application → Cookies → app.trainingpeaks.com
3. Find the cookie named Production_tpAuth
4. Copy its value (long encoded string)

Then authenticate:

python3 scripts/tp.py auth "<paste_cookie_value_here>"

Or set the environment variable (useful for CI/scripts):

export TP_AUTH_COOKIE="<cookie_value>"

Credentials are stored in ~/.trainingpeaks/ with 0600 permissions.

Commands

auth <cookie> — Authenticate

Store and validate a Production_tpAuth cookie. Exchanges it for a Bearer token and caches the athlete ID.

python3 scripts/tp.py auth "eyJhbGci..."
# ✓ Authenticated successfully!
#   Account: user@example.com
#   Athlete ID: 12345
#   Token expires in: 60 minutes

auth-status — Check Authentication

python3 scripts/tp.py auth-status
# Cookie: stored (file)
# Token: valid (42m remaining)
# Athlete ID: 12345
# ✓ Ready

profile [--json] — Athlete Profile

python3 scripts/tp.py profile
# Profile
# ════════════════════════════════════════
#   Name:        Ruben Example
#   Email:       ruben@example.com
#   Athlete ID:  12345
#   Account:     Premium
#   Bike FTP:    280 W

workouts <start> <end> [--filter all|planned|completed] [--json]

List workouts in a date range (max 90 days).

# All workouts this week
python3 scripts/tp.py workouts 2026-01-26 2026-02-01

# Only completed workouts
python3 scripts/tp.py workouts 2026-01-01 2026-01-31 --filter completed

# Raw JSON for scripting
python3 scripts/tp.py workouts 2026-01-26 2026-02-01 --json

Output columns: Date, Title, Sport, Status (✓/○), Planned duration, Actual duration, TSS, Distance.

workout <id> [--json] — Workout Detail

Get full details for a single workout including description, coach comments, and all metrics.

python3 scripts/tp.py workout 123456789
# Workout: Tempo Intervals 3x10min
# ══════════════════════════════════════════════════
#   Date:         2026-01-28
#   Sport:        Bike
#   Status:       Completed ✓
#   ...

fitness [--days 90] [--json] — CTL/ATL/TSB

Get fitness (CTL), fatigue (ATL), and form (TSB) data.

# Last 90 days (default)
python3 scripts/tp.py fitness

# Full season
python3 scripts/tp.py fitness --days 365

# JSON for charts
python3 scripts/tp.py fitness --json

Shows a summary with current CTL/ATL/TSB and status interpretation, plus a 14-day daily table.

peaks <sport> <pr_type> [--days 3650] [--json] — Personal Records

Get ranked personal records by sport and metric.

# Best 20-minute power (all time)
python3 scripts/tp.py peaks Bike power20min

# 5K running PRs from last year
python3 scripts/tp.py peaks Run speed5K --days 365

# 5-second max power
python3 scripts/tp.py peaks Bike power5sec

Valid PR types:

Token Management

• Bearer tokens are cached in ~/.trainingpeaks/token.json
• Tokens expire in ~1 hour; auto-refreshed from stored cookie
• Cookie lasts weeks; stored in ~/.trainingpeaks/cookie
• If the cookie expires, you'll get a clear error to re-authenticate

File Locations

Notes

• All dates use YYYY-MM-DD format
• Maximum workout query range: 90 days
• Rate limiting: 150ms minimum between API requests
• TP_AUTH_COOKIE environment variable overrides stored cookie
• Default output is human-readable; --json gives raw API responses