100 lines
3.4 KiB
Markdown
100 lines
3.4 KiB
Markdown
# Food Tracking
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Manage food items and daily food log entries in MongoDB (`lists.food_items`, `lists.food_log`).
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## Scripts
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Both scripts are standalone Python CLIs. Run with `uv run --with pymongo`:
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### food_items.py — `lists.food_items`
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Reference item catalog: what foods exist, their nutrition, serving sizes, etc.
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```bash
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# Path relative to skill directory
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SCRIPT="skills/food-tracking/scripts/food_items.py"
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# Add a new food item
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uv run --with pymongo "$SCRIPT" add \
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--name "Kefir Oats" \
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--type food \
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--serving "1.5 cups" \
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--description "Whole milk kefir with old-fashioned rolled oats" \
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--nutrition '{"calories": 228, "protein_g": 12.1, "fat_g": 7.0, "carbs_g": 30.1, "fiber_g": 3.5, "sugar_g": 6.3}'
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# Add a medicine
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uv run --with pymongo "$SCRIPT" add \
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--name "Excedrin Migraine" \
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--type medicine \
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--max-dosage "2 caplets"
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# Add with arbitrary extra fields via JSON
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uv run --with pymongo "$SCRIPT" add \
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--name "Chicken Breast" \
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--type food \
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--serving "4 oz" \
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--nutrition '{"calories": 187, "protein_g": 35, "fat_g": 4, "carbs_g": 0}' \
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--extra '{"recipe_notes": "grilled, no oil"}'
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# Get all items
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uv run --with pymongo "$SCRIPT" get
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# Filter by type
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uv run --with pymongo "$SCRIPT" get --type food
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# Search by name
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uv run --with pymongo "$SCRIPT" get --name "kefir"
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# Update an item by name
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uv run --with pymongo "$SCRIPT" update --name "Kefir Oats" --set-serving "2 cups"
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# Update an item by _id
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uv run --with pymongo "$SCRIPT" update --id "6a11b0c3..." --set-nutrition '{"calories": 300, "protein_g": 15, "fat_g": 9, "carbs_g": 40}'
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# Unset a field
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uv run --with pymongo "$SCRIPT" update --name "Excedrin Migraine" --unset max_dosage
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# Merge arbitrary fields
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uv run --with pymongo "$SCRIPT" update --name "Chicken Breast" --set-extra '{"tags": ["dinner", "high-protein"]}'
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```
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### food_log.py — `lists.food_log`
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Daily consumption log: what was eaten, when, and how much.
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```bash
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SCRIPT="skills/food-tracking/scripts/food_log.py"
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# Log a food entry
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uv run --with pymongo "$SCRIPT" add --name "Kefir Oats" --type food --amount 1 --unit "serving"
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# Log a medicine
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uv run --with pymongo "$SCRIPT" add --name "Excedrin Migraine" --type medicine --amount 1 --unit "caplet"
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# Log with extra fields
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uv run --with pymongo "$SCRIPT" add --name "Coffee" --type food --amount 2 --unit "cups" --extra '{"caffeine_mg": 200}'
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# Get today's log
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uv run --with pymongo "$SCRIPT" get --today
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# Get last 7 days
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uv run --with pymongo "$SCRIPT" get --days 7
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# Filter by name or type
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uv run --with pymongo "$SCRIPT" get --name "Excedrin"
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uv run --with pymongo "$SCRIPT" get --type medicine
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# Update an entry (requires --id from a previous get)
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uv run --with pymongo "$SCRIPT" update --id "6a11a937..." --set-amount 2 --set-unit "caplets"
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# Unset a field
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uv run --with pymongo "$SCRIPT" update --id "6a11a937..." --unset unit
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```
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## Workflow Notes
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- When logging food, the assistant should run `food_items.py get --name <item>` first to confirm the item exists and show its nutrition info.
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- For new foods not in the catalog, add the item first, then log it.
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- Always present nutrition info back to the user when logging food (pull from `food_items` so the user sees the macros).
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- When searching the internet for nutrition facts, use USDA FoodData Central as the source, then store the result as a food item.
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- The `--extra` flag on both scripts accepts arbitrary JSON, useful for fields not covered by named flags (e.g., recipe details, tags, notes).
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