sparky

Use sparky to interact with a self-hosted SparkyFitness server — log food, exercise, weight, steps, and mood.

Install

• - Homebrew (macOS/Linux): INLINECODE1
• Build from source (requires Go 1.21+):

  git clone https://github.com/aronjanosch/sparky-cli
  cd sparky-cli
  go build -o sparky .
  sudo mv sparky /usr/local/bin/
  

• - Pre-built binaries: https://github.com/aronjanosch/sparky-cli/releases (Linux, macOS, Windows — amd64/arm64)

Setup (once)

• - sparky config set-url <url> — e.g. INLINECODE3
• INLINECODE4
• INLINECODE5
• INLINECODE6 — verify connection

Food

• - Search: sparky food search "chicken breast" [-l 10] — local DB first, falls back to Open Food Facts; shows Brand column
• Search by barcode: sparky food search --barcode 4061458284547 — exact product lookup, no ambiguity
• Log by name: INLINECODE9
• Log by barcode: sparky food log --barcode 4061458284547 -m lunch -q 113 -u g — most reliable, no brand guessing
• Log by ID: sparky food log --id <uuid> -m lunch -q 150 -u g — skips search, unambiguous
• Pick result: sparky food log "Hähnchenbrust" --pick 2 — select Nth search result instead of prompting
• Create custom: sparky food create "My Meal" --calories 450 --protein 28 --carbs 42 --fat 16 — adds a custom food to your library; defaults to 100g serving; optional: --fiber, --sugar, --sodium, --saturated-fat, --brand, --serving-size, --serving-unit
• Diary: INLINECODE14
• Delete entry: sparky food delete <uuid> — removes a diary entry
• Remove from library: sparky food remove <uuid> — purge a food from your local library (get UUID via sparky -j food search)

Exercise

• - Search: sparky exercise search "bench press" [-l 10] — local DB first, falls back to Free Exercise DB
• Search external only: sparky exercise search --external "pushup" — bypasses local cache
• Log by name: INLINECODE20
• Log by ID: sparky exercise log --id <uuid> --set 10x80@8 --set 10x80@9 — skips search, unambiguous
• Sets format: REPS[xWEIGHT][@RPE] — e.g. 10x80@8 = 10 reps, 80 kg, RPE 8; 10x80 or 10@8 also valid
• Notes: INLINECODE26
• Diary: INLINECODE27
• Delete: INLINECODE28

Check-ins

• - Weight: INLINECODE29
• Steps: INLINECODE30
• Mood: INLINECODE31
• Diary: sparky checkin diary [-d YYYY-MM-DD] — shows biometrics + mood together

Summary & trends

• - sparky summary [-s YYYY-MM-DD] [-e YYYY-MM-DD] — nutrition/exercise/wellbeing totals (default: last 7 days)
• INLINECODE34 — day-by-day nutrition table

Agentic workflow (always prefer --id to avoid ambiguity)

Exercise — search first, then log by ID:
CODEBLOCK1

Food — preferred agentic workflow:
CODEBLOCK2

Custom food (when you have nutrition facts and it's not in the DB):
CODEBLOCK3

Notes

• - -j / --json is a root-level flag: sparky -j food diary, not INLINECODE38
• Always verify brand in search results before logging — Open Food Facts has many products with identical names
• INLINECODE39 is the most reliable option when the product has a scannable barcode
• INLINECODE40 selects the Nth result (1-based); exact local name match bypasses --pick entirely
• In JSON mode with ambiguous results, the CLI always picks results[0] — use --id in scripts to be safe
• Both search commands fall back to online providers automatically; matches are added to your library on first log
• Weight is stored in kg; lbs are auto-converted (166 lbs → 75.30 kg)
• Full UUIDs for delete: INLINECODE45
• Meal options: breakfast, lunch, dinner, snacks (default: snacks)