# Taste Testing Module

The taste endpoints let you analyze and compare finished dishes and ingredients.

## Analyzing a Dish

### POST /v1/taste/analyze

Analyze the flavor profile of any dish or ingredient in your session.

```python
import requests

API_BASE = "https://api.tomatopy.pizza/v1"
HEADERS = {
    "Content-Type": "application/json",
    "X-API-Key": "your-api-key",
    "X-Session-ID": "your-session-id"
}

# Basic analysis
response = requests.post(f"{API_BASE}/taste/analyze", headers=HEADERS, json={
    "dish_id": "bkd_vwx234",
    "depth": "basic"
})
profile = response.json()

print(f"Sweetness: {profile['sweetness']}")  # 0.3
print(f"Acidity: {profile['acidity']}")      # 0.7
print(f"Umami: {profile['umami']}")          # 0.8
```

### Comprehensive Analysis

Include aroma and texture data for a fuller picture:

```python
# Comprehensive analysis with aroma and texture
response = requests.post(f"{API_BASE}/taste/analyze", headers=HEADERS, json={
    "dish_id": "bkd_vwx234",
    "depth": "comprehensive",
    "include_aroma": True,
    "include_texture": True
})
profile = response.json()

# Basic taste metrics
print(f"Sweetness: {profile['sweetness']}")
print(f"Acidity: {profile['acidity']}")
print(f"Umami: {profile['umami']}")

# Aroma metrics
print(f"Aroma intensity: {profile['aroma']['intensity']}")
print(f"Aroma notes: {profile['aroma']['notes']}")

# Texture metrics
print(f"Texture score: {profile['texture']['score']}")
print(f"Firmness: {profile['texture']['firmness']}")
```

#### Request Body

| Field             | Type    | Required | Description                                   |
| ----------------- | ------- | -------- | --------------------------------------------- |
| `dish_id`         | string  | yes      | ID of any dish or ingredient in the session   |
| `depth`           | string  | no       | "basic" or "comprehensive" (default: "basic") |
| `include_aroma`   | boolean | no       | Include aroma analysis (default: false)       |
| `include_texture` | boolean | no       | Include texture analysis (default: false)     |

## Comparing Dishes

### POST /v1/taste/compare

Compare multiple dishes or ingredients side by side on specific metrics.

```python
# Compare three sauces
response = requests.post(f"{API_BASE}/taste/compare", headers=HEADERS, json={
    "dish_ids": ["sce_001", "sce_002", "sce_003"],
    "metrics": ["sweetness", "acidity", "umami"]
})
comparison = response.json()

# Access comparison results
for dish in comparison["results"]:
    print(f"Dish {dish['id']}:")
    print(f"  Sweetness: {dish['sweetness']}")
    print(f"  Acidity: {dish['acidity']}")
    print(f"  Umami: {dish['umami']}")

# Rankings
print(f"Sweetest: {comparison['rankings']['sweetness'][0]}")
print(f"Most acidic: {comparison['rankings']['acidity'][0]}")
```

#### Request Body

| Field      | Type             | Required | Description                                                                    |
| ---------- | ---------------- | -------- | ------------------------------------------------------------------------------ |
| `dish_ids` | array of strings | yes      | IDs of dishes to compare (minimum 2)                                           |
| `metrics`  | array of strings | yes      | Metrics to compare (e.g., "sweetness", "acidity", "umami", "aroma", "texture") |

## Analyzing Different Stages

You can analyze ingredients at any stage of the pipeline -- raw tomatoes, sliced tomatoes, sauces, or finished pizzas:

```python
# Analyze a raw tomato
response = requests.post(f"{API_BASE}/taste/analyze", headers=HEADERS, json={
    "dish_id": tomato["id"],
    "depth": "comprehensive",
    "include_aroma": True
})
raw_profile = response.json()

# Analyze the sauce made from that tomato
response = requests.post(f"{API_BASE}/taste/analyze", headers=HEADERS, json={
    "dish_id": sauce["id"],
    "depth": "comprehensive",
    "include_aroma": True
})
sauce_profile = response.json()

# Compare raw vs cooked
response = requests.post(f"{API_BASE}/taste/compare", headers=HEADERS, json={
    "dish_ids": [tomato["id"], sauce["id"]],
    "metrics": ["sweetness", "acidity", "umami"]
})
comparison = response.json()
print("Raw vs Cooked comparison:", comparison)
```

## Error Handling

```python
# Handle invalid dish ID
response = requests.post(f"{API_BASE}/taste/analyze", headers=HEADERS, json={
    "dish_id": "invalid_id",
    "depth": "basic"
})

if response.status_code == 400:
    error = response.json()
    print(f"Error: {error['message']}")  # "Dish not found in session"

# Handle empty comparison list
response = requests.post(f"{API_BASE}/taste/compare", headers=HEADERS, json={
    "dish_ids": [],
    "metrics": ["sweetness"]
})

if response.status_code == 400:
    error = response.json()
    print(f"Error: {error['message']}")  # "At least 2 dish IDs required"
```

## Best Practices

1. **Choose the Right Depth**

   Use `"basic"` for quick checks and `"comprehensive"` when you need full details. Comprehensive analysis includes more data but takes longer.
2. **Compare at the Same Stage**

   For meaningful comparisons, compare dishes at the same pipeline stage (e.g., sauce vs sauce, not sauce vs raw tomato).
3. **Use Aroma and Texture for Final Products**

   ```python
   # Best for finished pizzas
   response = requests.post(f"{API_BASE}/taste/analyze", headers=HEADERS, json={
       "dish_id": baked_pizza["id"],
       "depth": "comprehensive",
       "include_aroma": True,
       "include_texture": True
   })
   ```

## Endpoint Reference

| Endpoint            | Method | Description                                 |
| ------------------- | ------ | ------------------------------------------- |
| `/v1/taste/analyze` | POST   | Analyze flavor profile of a dish            |
| `/v1/taste/compare` | POST   | Compare multiple dishes on specific metrics |

## Next Steps

* [Session Management](/docs/core-modules/kitchen-hardware-interface.md) - Debug and track your session
* [Tutorials](/docs/tutorials/advanced-flavor-profiling.md) - Learn advanced flavor profiling techniques
* [Best Practices](/docs/best-practices.md) - API usage tips


---

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