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data/bdm.csv

@@ -0,0 +1,717 @@
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+1.0,13,50.8,30.48,38.1,55.88,60.96,63.5,43.18,43.18,50.8,81.28,127.0,60.54,XXS
+1.0,12,53.34,35.56,30.48,66.04,27.94,35.56,50.8,43.18,35.56,73.66,127.0,60.54,M
+1.0,11,50.8,33.02,27.94,55.88,30.48,35.56,45.72,48.26,33.02,63.5,124.46,60.54,M
+1.0,13,48.26,40.64,35.56,55.88,33.02,71.12,45.72,53.34,30.48,86.36,132.08,60.54,XXS
+2.0,7,50.8,30.48,27.94,58.42,58.42,58.42,50.8,43.18,38.1,60.96,109.22,60.54,M
+2.0,5,50.8,27.94,25.4,53.34,53.34,58.42,48.26,33.02,33.02,53.34,99.06,60.54,M
+2.0,7,50.8,27.94,22.86,48.26,53.34,53.34,48.26,33.02,33.02,53.34,99.06,60.54,M
+1.0,5,53.34,30.48,22.86,25.4,53.34,53.34,48.26,33.02,33.02,58.42,104.14,60.54,M
+2.0,7,53.34,27.94,27.94,50.8,55.88,53.34,48.26,30.48,30.48,53.34,78.74,60.54,M
+2.0,6,50.8,27.94,25.4,53.34,53.34,50.8,50.8,38.1,33.02,55.88,81.28,60.54,M
+2.0,7,50.8,27.94,25.4,50.8,53.34,50.8,45.72,43.18,38.1,38.1,78.74,60.54,M
+2.0,5,53.34,30.48,30.48,53.34,53.34,66.04,53.34,33.02,50.8,50.8,101.6,60.54,M
+2.0,5,50.8,27.94,27.94,53.34,53.34,58.42,50.8,30.48,50.8,53.34,86.36,60.54,M
+2.0,6,53.34,33.02,27.94,50.8,55.88,60.96,43.18,30.48,53.34,55.88,99.06,60.54,M
+1.0,17,53.34,27.94,35.56,66.04,63.5,45.72,53.34,48.26,48.26,86.36,149.86,48.91,XXS
+2.0,5,53.34,38.1,27.94,55.88,58.42,58.42,43.18,38.1,33.02,55.88,109.22,60.54,M
+1.0,13,53.34,20.32,30.48,55.88,35.56,73.66,68.58,55.88,40.64,63.5,58.42,60.54,XXS
+2.0,2,45.72,38.1,20.32,50.8,48.26,50.8,35.56,33.02,27.94,45.72,81.28,60.54,M
+1.0,10,50.8,30.48,30.48,55.88,35.56,73.66,68.58,55.88,40.64,63.5,58.42,60.54,M
+2.0,10,53.34,30.48,30.48,55.88,60.96,66.04,53.34,38.1,35.56,63.5,114.3,60.54,M
+2.0,13,55.88,15.24,35.56,63.5,45.72,76.2,53.34,50.8,40.64,83.82,149.86,56.52,XXS
+1.0,10,53.34,27.94,30.48,55.88,5.08,66.04,53.34,38.1,35.56,63.5,114.3,60.54,M
+1.0,4,50.8,43.18,27.94,55.88,55.88,55.88,43.18,30.48,30.48,55.88,101.6,60.54,M
+1.0,13,50.8,38.1,35.56,63.5,45.72,76.2,53.34,50.8,40.64,83.82,149.86,56.52,XXS
+2.0,4,50.8,38.1,25.4,50.8,50.8,53.34,45.72,25.4,30.48,48.26,93.98,60.54,M

data/size_data_pants.json

@@ -0,0 +1,207 @@
+[
+  {
+    "brand": "Zara",
+    "sizes": [
+      {
+        "label": "XS",
+        "waist": [66, 71],
+        "hips": [82, 87],
+        "legLength": [96, 100]
+      },
+      {
+        "label": "S",
+        "waist": [70, 75],
+        "hips": [86, 91],
+        "legLength": [100, 104]
+      },
+      {
+        "label": "M",
+        "waist": [76, 81],
+        "hips": [92, 97],
+        "legLength": [104, 108]
+      },
+      {
+        "label": "L",
+        "waist": [82, 87],
+        "hips": [98, 103],
+        "legLength": [108, 112]
+      },
+      {
+        "label": "XL",
+        "waist": [88, 94],
+        "hips": [104, 110],
+        "legLength": [112, 116]
+      },
+      {
+        "label": "XXL",
+        "waist": [95, 100],
+        "hips": [111, 116],
+        "legLength": [116, 120]
+      }
+    ]
+  },
+  {
+    "brand": "H&M",
+    "sizes": [
+      {
+        "label": "XS",
+        "waist": [68, 73],
+        "hips": [84, 89],
+        "legLength": [97, 101]
+      },
+      {
+        "label": "S",
+        "waist": [72, 77],
+        "hips": [88, 93],
+        "legLength": [101, 105]
+      },
+      {
+        "label": "M",
+        "waist": [78, 83],
+        "hips": [94, 99],
+        "legLength": [105, 109]
+      },
+      {
+        "label": "L",
+        "waist": [84, 89],
+        "hips": [100, 105],
+        "legLength": [109, 113]
+      },
+      {
+        "label": "XL",
+        "waist": [90, 95],
+        "hips": [106, 111],
+        "legLength": [113, 117]
+      },
+      {
+        "label": "XXL",
+        "waist": [96, 102],
+        "hips": [112, 118],
+        "legLength": [117, 121]
+      }
+    ]
+  },
+  {
+    "brand": "Dior",
+    "sizes": [
+      {
+        "label": "XS",
+        "waist": [64, 69],
+        "hips": [80, 85],
+        "legLength": [95, 99]
+      },
+      {
+        "label": "S",
+        "waist": [68, 73],
+        "hips": [85, 90],
+        "legLength": [99, 103]
+      },
+      {
+        "label": "M",
+        "waist": [74, 79],
+        "hips": [91, 96],
+        "legLength": [103, 107]
+      },
+      {
+        "label": "L",
+        "waist": [80, 85],
+        "hips": [97, 102],
+        "legLength": [107, 111]
+      },
+      {
+        "label": "XL",
+        "waist": [86, 91],
+        "hips": [103, 108],
+        "legLength": [111, 115]
+      },
+      {
+        "label": "XXL",
+        "waist": [92, 98],
+        "hips": [109, 115],
+        "legLength": [115, 119]
+      }
+    ]
+  },
+  {
+    "brand": "Nike",
+    "sizes": [
+      {
+        "label": "XS",
+        "waist": [65, 70],
+        "hips": [81, 86],
+        "legLength": [96, 100]
+      },
+      {
+        "label": "S",
+        "waist": [71, 76],
+        "hips": [87, 92],
+        "legLength": [100, 104]
+      },
+      {
+        "label": "M",
+        "waist": [77, 82],
+        "hips": [93, 98],
+        "legLength": [104, 108]
+      },
+      {
+        "label": "L",
+        "waist": [83, 88],
+        "hips": [99, 104],
+        "legLength": [108, 112]
+      },
+      {
+        "label": "XL",
+        "waist": [89, 94],
+        "hips": [105, 110],
+        "legLength": [112, 116]
+      },
+      {
+        "label": "XXL",
+        "waist": [95, 101],
+        "hips": [111, 117],
+        "legLength": [116, 120]
+      }
+    ]
+  },
+  {
+    "brand": "Adidas",
+    "sizes": [
+      {
+        "label": "XS",
+        "waist": [66, 71],
+        "hips": [82, 87],
+        "legLength": [97, 101]
+      },
+      {
+        "label": "S",
+        "waist": [72, 77],
+        "hips": [88, 93],
+        "legLength": [101, 105]
+      },
+      {
+        "label": "M",
+        "waist": [78, 83],
+        "hips": [94, 99],
+        "legLength": [105, 109]
+      },
+      {
+        "label": "L",
+        "waist": [84, 89],
+        "hips": [100, 105],
+        "legLength": [109, 113]
+      },
+      {
+        "label": "XL",
+        "waist": [90, 95],
+        "hips": [106, 111],
+        "legLength": [113, 117]
+      },
+      {
+        "label": "XXL",
+        "waist": [96, 102],
+        "hips": [112, 118],
+        "legLength": [117, 121]
+      }
+    ]
+  }
+]

data/size_data_shirts.json

@@ -0,0 +1,208 @@
+[
+    {
+      "brand": "Zara",
+      "sizes": [
+        {
+          "label": "XS",
+          "chest": [82, 87],
+          "waist": [66, 71],
+          "shoulder": [38, 40]
+        },
+        {
+          "label": "S",
+          "chest": [86, 91],
+          "waist": [70, 75],
+          "shoulder": [40, 42]
+        },
+        {
+          "label": "M",
+          "chest": [92, 97],
+          "waist": [76, 81],
+          "shoulder": [43, 44]
+        },
+        {
+          "label": "L",
+          "chest": [98, 103],
+          "waist": [82, 87],
+          "shoulder": [45, 46]
+        },
+        {
+          "label": "XL",
+          "chest": [104, 110],
+          "waist": [88, 94],
+          "shoulder": [47, 48]
+        },
+        {
+          "label": "XXL",
+          "chest": [111, 116],
+          "waist": [95, 100],
+          "shoulder": [49, 50]
+        }
+      ]
+    },
+    {
+      "brand": "H&M",
+      "sizes": [
+        {
+          "label": "XS",
+          "chest": [84, 89],
+          "waist": [68, 73],
+          "shoulder": [39, 41]
+        },
+        {
+          "label": "S",
+          "chest": [88, 93],
+          "waist": [72, 77],
+          "shoulder": [40, 42]
+        },
+        {
+          "label": "M",
+          "chest": [94, 99],
+          "waist": [78, 83],
+          "shoulder": [43, 45]
+        },
+        {
+          "label": "L",
+          "chest": [100, 105],
+          "waist": [84, 89],
+          "shoulder": [46, 47]
+        },
+        {
+          "label": "XL",
+          "chest": [106, 111],
+          "waist": [90, 95],
+          "shoulder": [48, 49]
+        },
+        {
+          "label": "XXL",
+          "chest": [112, 118],
+          "waist": [96, 102],
+          "shoulder": [50, 51]
+        }
+      ]
+    },
+    {
+      "brand": "Dior",
+      "sizes": [
+        {
+          "label": "XS",
+          "chest": [80, 85],
+          "waist": [64, 69],
+          "shoulder": [37, 39]
+        },
+        {
+          "label": "S",
+          "chest": [85, 90],
+          "waist": [68, 73],
+          "shoulder": [39, 41]
+        },
+        {
+          "label": "M",
+          "chest": [91, 96],
+          "waist": [74, 79],
+          "shoulder": [42, 43]
+        },
+        {
+          "label": "L",
+          "chest": [97, 102],
+          "waist": [80, 85],
+          "shoulder": [44, 45]
+        },
+        {
+          "label": "XL",
+          "chest": [103, 108],
+          "waist": [86, 91],
+          "shoulder": [46, 47]
+        },
+        {
+          "label": "XXL",
+          "chest": [109, 115],
+          "waist": [92, 98],
+          "shoulder": [48, 49]
+        }
+      ]
+    },
+    {
+      "brand": "Nike",
+      "sizes": [
+        {
+          "label": "XS",
+          "chest": [81, 86],
+          "waist": [65, 70],
+          "shoulder": [38, 40]
+        },
+        {
+          "label": "S",
+          "chest": [87, 92],
+          "waist": [71, 76],
+          "shoulder": [40, 42]
+        },
+        {
+          "label": "M",
+          "chest": [93, 98],
+          "waist": [77, 82],
+          "shoulder": [43, 44]
+        },
+        {
+          "label": "L",
+          "chest": [99, 104],
+          "waist": [83, 88],
+          "shoulder": [45, 46]
+        },
+        {
+          "label": "XL",
+          "chest": [105, 110],
+          "waist": [89, 94],
+          "shoulder": [47, 48]
+        },
+        {
+          "label": "XXL",
+          "chest": [111, 117],
+          "waist": [95, 101],
+          "shoulder": [49, 50]
+        }
+      ]
+    },
+    {
+      "brand": "Adidas",
+      "sizes": [
+        {
+          "label": "XS",
+          "chest": [82, 87],
+          "waist": [66, 71],
+          "shoulder": [38, 40]
+        },
+        {
+          "label": "S",
+          "chest": [88, 93],
+          "waist": [72, 77],
+          "shoulder": [40, 42]
+        },
+        {
+          "label": "M",
+          "chest": [94, 99],
+          "waist": [78, 83],
+          "shoulder": [43, 44]
+        },
+        {
+          "label": "L",
+          "chest": [100, 105],
+          "waist": [84, 89],
+          "shoulder": [45, 46]
+        },
+        {
+          "label": "XL",
+          "chest": [106, 111],
+          "waist": [90, 95],
+          "shoulder": [47, 48]
+        },
+        {
+          "label": "XXL",
+          "chest": [112, 118],
+          "waist": [96, 102],
+          "shoulder": [49, 50]
+        }
+      ]
+    }
+  ]
+  

libraries/fits/pants_lib.py

@@ -0,0 +1,63 @@
+from dataclasses import dataclass
+
+@dataclass
+class PantsMeasurements:
+    waist: float    # in cm
+    hips: float     # in cm
+    leg_length: float  # in cm
+
+def determine_fit(measurements: PantsMeasurements) -> str:
+    """
+    Determine the general fit for pants based on waist, hips, and leg length measurements.
+    
+    The algorithm uses two ratios:
+      - Waist-to-Hips Ratio: Lower ratios typically suggest a more tapered (slim) waist.
+      - Leg-to-Hips Ratio: Higher values indicate longer legs relative to hip size.
+    
+    Assumed thresholds for demonstration purposes:
+      - Slim Fit: if waist/hips < 0.80 and leg_length/hips >= 1.15
+      - Regular Fit: if 0.80 <= waist/hips <= 0.90 and 1.05 <= leg_length/hips < 1.15
+      - Loose Fit: otherwise
+    
+    Args:
+        measurements (PantsMeasurements): The measurements for waist, hips, and leg length.
+        
+    Returns:
+        str: A recommendation of 'Slim Fit', 'Regular Fit', or 'Loose Fit'.
+    """
+    waist_to_hip = measurements.waist / measurements.hips
+    leg_to_hip = measurements.leg_length / measurements.hips
+
+    if waist_to_hip < 0.80 and leg_to_hip >= 1.15:
+        return "Slim Fit"
+    elif 0.80 <= waist_to_hip <= 0.90 and 1.05 <= leg_to_hip < 1.15:
+        return "Regular Fit"
+    else:
+        return "Loose Fit"
+
+def get_fit(waist: float, hips: float, leg_length: float) -> str:
+    """
+    Get a fit recommendation for pants based on input measurements.
+    
+    Args:
+        waist (float): Waist measurement in cm.
+        hips (float): Hip measurement in cm.
+        leg_length (float): Leg length measurement in cm.
+        
+    Returns:
+        str: The recommended pants fit category.
+    """
+    measurements = PantsMeasurements(waist=waist, hips=hips, leg_length=leg_length)
+    return determine_fit(measurements)
+
+if __name__ == "__main__":
+    try:
+        waist_input = float(input("Enter your waist measurement (cm): "))
+        hips_input = float(input("Enter your hip measurement (cm): "))
+        leg_length_input = float(input("Enter your leg length measurement (cm): "))
+    except ValueError:
+        print("Please enter valid numeric values.")
+        exit(1)
+    
+    recommended_fit = get_fit(waist_input, hips_input, leg_length_input)
+    print(f"Based on your measurements, your recommended fit for pants is: {recommended_fit}")

libraries/fits/shirts_lib.py

@@ -0,0 +1,67 @@
+from dataclasses import dataclass
+
+@dataclass
+class BodyMeasurements:
+    shoulder: float  # in cm
+    chest: float     # in cm
+    waist: float     # in cm
+
+def determine_fit(measurements: BodyMeasurements) -> str:
+    """
+    Determine the general fit based on shoulder, chest, and waist measurements.
+    
+    The algorithm uses two simple ratios:
+      - waist-to-chest ratio: a lower ratio suggests a more tapered torso (slim fit).
+      - chest-to-shoulder ratio: a higher ratio suggests a broader chest relative to the shoulder,
+        which is often associated with a slimmer profile.
+    
+    Thresholds (assumed for demonstration purposes):
+      - Slim Fit: waist/chest < 0.85 and chest/shoulder >= 1.45
+      - Regular Fit: waist/chest between 0.85 and 0.95 and chest/shoulder between 1.3 and 1.45
+      - Loose Fit: any measurements outside the above ranges
+    
+    Args:
+        measurements (BodyMeasurements): User measurements in centimeters.
+    
+    Returns:
+        str: A recommendation of 'Slim Fit', 'Regular Fit', or 'Loose Fit'.
+    """
+    # Calculate ratios
+    waist_chest_ratio = measurements.waist / measurements.chest
+    chest_shoulder_ratio = measurements.chest / measurements.shoulder
+
+    # Determine fit based on ratio thresholds
+    if waist_chest_ratio < 0.85 and chest_shoulder_ratio >= 1.45:
+        return "Slim Fit"
+    elif 0.85 <= waist_chest_ratio <= 0.95 and 1.3 <= chest_shoulder_ratio < 1.45:
+        return "Regular Fit"
+    else:
+        return "Loose Fit"
+
+def get_fit(shoulder: float, chest: float, waist: float) -> str:
+    """
+    Get a fit recommendation based on input measurements.
+    
+    Args:
+        shoulder (float): Shoulder measurement in cm.
+        chest (float): Chest measurement in cm.
+        waist (float): Waist measurement in cm.
+    
+    Returns:
+        str: The recommended fit category.
+    """
+    measurements = BodyMeasurements(shoulder=shoulder, chest=chest, waist=waist)
+    return determine_fit(measurements)
+
+if __name__ == "__main__":
+    # Example interactive usage:
+    try:
+        shoulder_input = float(input("Enter your shoulder measurement (cm): "))
+        chest_input = float(input("Enter your chest measurement (cm): "))
+        waist_input = float(input("Enter your waist measurement (cm): "))
+    except ValueError:
+        print("Please enter valid numeric values.")
+        exit(1)
+    
+    recommended_fit = get_fit(shoulder_input, chest_input, waist_input)
+    print(f"Based on your measurements, your recommended fit is: {recommended_fit}")

libraries/sizes/pants_lib.py

@@ -0,0 +1,119 @@
+from typing import List, Dict, Tuple
+from dataclasses import dataclass
+import json
+from enum import Enum
+
+class SizeLabel(Enum):
+    XS = 1
+    S = 2
+    M = 3
+    L = 4
+    XL = 5
+    XXL = 6
+
+@dataclass
+class SizeRange:
+    label: str
+    waist: List[int]
+    hip: List[int]
+    length: List[int]
+
+@dataclass
+class Brand:
+    brand: str
+    sizes: List[SizeRange]
+
+def load_size_data() -> List[Brand]:
+    """Load and parse the size data from JSON."""
+    with open('./data/size_data_pants.json', 'r') as f:
+        data = json.load(f)
+    
+    brands = []
+    for brand_data in data:
+        sizes = []
+        for size in brand_data['sizes']:
+            sizes.append(SizeRange(
+                label=size['label'],
+                waist=size['waist'],
+                hip=size['hip'],
+                length=size['length']
+            ))
+        brands.append(Brand(brand=brand_data['brand'], sizes=sizes))
+    return brands
+
+def find_size_category(measurement: int, ranges: List[List[int]]) -> List[int]:
+    """Find matching size indices for a given measurement."""
+    return [i for i, (min_val, max_val) in enumerate(ranges) if min_val <= measurement <= max_val]
+
+def get_best_size(brand_name: str, waist: int, hip: int, length: int) -> Tuple[str, Dict[str, str]]:
+    """
+    Determine the best size for given measurements and brand.
+    
+    Args:
+        brand_name (str): Name of the brand
+        waist (int): Waist measurement in cm
+        hip (int): Hip measurement in cm
+        length (int): Pants length in cm
+    
+    Returns:
+        Tuple[str, Dict[str, str]]: Recommended size label and detailed fit information
+    """
+    brands = load_size_data()
+    
+    brand = next((b for b in brands if b.brand.lower() == brand_name.lower()), None)
+    if not brand:
+        raise ValueError(f"Brand '{brand_name}' not found")
+    
+    waist_ranges = [size.waist for size in brand.sizes]
+    hip_ranges = [size.hip for size in brand.sizes]
+    length_ranges = [size.length for size in brand.sizes]
+    
+    waist_sizes = find_size_category(waist, waist_ranges)
+    hip_sizes = find_size_category(hip, hip_ranges)
+    length_sizes = find_size_category(length, length_ranges)
+    
+    if not waist_sizes or not hip_sizes or not length_sizes:
+        measurements_info = {
+            "waist": "too small" if waist < waist_ranges[0][0] else "too large" if waist > waist_ranges[-1][1] else "ok",
+            "hip": "too small" if hip < hip_ranges[0][0] else "too large" if hip > hip_ranges[-1][1] else "ok",
+            "length": "too short" if length < length_ranges[0][0] else "too long" if length > length_ranges[-1][1] else "ok"
+        }
+        return "No exact fit", measurements_info
+    
+    all_indices = waist_sizes + hip_sizes + length_sizes
+    avg_size_index = round(sum(all_indices) / len(all_indices))
+    
+    recommended_size = brand.sizes[avg_size_index].label
+    
+    fit_info = {
+        "waist": "perfect" if avg_size_index in waist_sizes else "tight" if avg_size_index > max(waist_sizes) else "loose",
+        "hip": "perfect" if avg_size_index in hip_sizes else "tight" if avg_size_index > max(hip_sizes) else "loose",
+        "length": "perfect" if avg_size_index in length_sizes else "short" if avg_size_index > max(length_sizes) else "long"
+    }
+    
+    return recommended_size, fit_info
+
+def print_size_recommendation(brand: str, waist: int, hip: int, length: int) -> None:
+    """
+    Print a formatted size recommendation.
+    
+    Args:
+        brand (str): Brand name
+        waist (int): Waist measurement in cm
+        hip (int): Hip measurement in cm
+        length (int): Pants length in cm
+    """
+    try:
+        size, fit_info = get_best_size(brand, waist, hip, length)
+        print(f"\nSize Recommendation for {brand}:")
+        print(f"Recommended size: {size}")
+        print("\nFit Details:")
+        print(f"Waist: {fit_info['waist']}")
+        print(f"Hip: {fit_info['hip']}")
+        print(f"Length: {fit_info['length']}")
+    except ValueError as e:
+        print(f"Error: {str(e)}")
+
+# Example usage
+if __name__ == "__main__":
+    print_size_recommendation("Zara", 80, 95, 105)

libraries/sizes/shirts_lib.py

@@ -0,0 +1,131 @@
+from typing import List, Dict, Union, Tuple
+from dataclasses import dataclass
+import json
+from enum import Enum
+
+class SizeLabel(Enum):
+    XS = 1
+    S = 2
+    M = 3
+    L = 4
+    XL = 5
+    XXL = 6
+
+@dataclass
+class SizeRange:
+    label: str
+    chest: List[int]
+    waist: List[int]
+    shoulder: List[int]
+
+@dataclass
+class Brand:
+    brand: str
+    sizes: List[SizeRange]
+
+def load_size_data() -> List[Brand]:
+    """Load and parse the size data from JSON."""
+    with open('./data/size_data_shirts.json', 'r') as f:
+        data = json.load(f)
+    
+    brands = []
+    for brand_data in data:
+        sizes = []
+        for size in brand_data['sizes']:
+            sizes.append(SizeRange(
+                label=size['label'],
+                chest=size['chest'],
+                waist=size['waist'],
+                shoulder=size['shoulder']
+            ))
+        brands.append(Brand(brand=brand_data['brand'], sizes=sizes))
+    return brands
+
+def find_size_category(measurement: int, ranges: List[List[int]]) -> List[int]:
+    """Find matching size indices for a given measurement."""
+    matching_sizes = []
+    for i, (min_val, max_val) in enumerate(ranges):
+        if min_val <= measurement <= max_val:
+            matching_sizes.append(i)
+    return matching_sizes
+
+def get_best_size(brand_name: str, chest: int, waist: int, shoulder: int) -> Tuple[str, Dict[str, str]]:
+    """
+    Determine the best size for given measurements and brand.
+    
+    Args:
+        brand_name (str): Name of the brand (e.g., "Zara", "H&M", "Dior")
+        chest (int): Chest measurement in centimeters
+        waist (int): Waist measurement in centimeters
+        shoulder (int): Shoulder measurement in centimeters
+    
+    Returns:
+        Tuple[str, Dict[str, str]]: Recommended size label and detailed fit information
+    """
+    brands = load_size_data()
+    
+    # Find the brand
+    brand = next((b for b in brands if b.brand.lower() == brand_name.lower()), None)
+    if not brand:
+        raise ValueError(f"Brand '{brand_name}' not found")
+    
+    # Get all size ranges for the brand
+    chest_ranges = [size.chest for size in brand.sizes]
+    waist_ranges = [size.waist for size in brand.sizes]
+    shoulder_ranges = [size.shoulder for size in brand.sizes]
+    
+    # Find matching sizes for each measurement
+    chest_sizes = find_size_category(chest, chest_ranges)
+    waist_sizes = find_size_category(waist, waist_ranges)
+    shoulder_sizes = find_size_category(shoulder, shoulder_ranges)
+    
+    # If any measurement doesn't fit in any range
+    if not chest_sizes or not waist_sizes or not shoulder_sizes:
+        measurements_info = {
+            "chest": "too small" if chest < chest_ranges[0][0] else "too large" if chest > chest_ranges[-1][1] else "ok",
+            "waist": "too small" if waist < waist_ranges[0][0] else "too large" if waist > waist_ranges[-1][1] else "ok",
+            "shoulder": "too small" if shoulder < shoulder_ranges[0][0] else "too large" if shoulder > shoulder_ranges[-1][1] else "ok"
+        }
+        return "No exact fit", measurements_info
+    
+    # Calculate the average size index
+    all_indices = chest_sizes + waist_sizes + shoulder_sizes
+    avg_size_index = round(sum(all_indices) / len(all_indices))
+    
+    # Get the recommended size label
+    recommended_size = brand.sizes[avg_size_index].label
+    
+    # Prepare detailed fit information
+    fit_info = {
+        "chest": "perfect" if avg_size_index in chest_sizes else "tight" if avg_size_index > max(chest_sizes) else "loose",
+        "waist": "perfect" if avg_size_index in waist_sizes else "tight" if avg_size_index > max(waist_sizes) else "loose",
+        "shoulder": "perfect" if avg_size_index in shoulder_sizes else "tight" if avg_size_index > max(shoulder_sizes) else "loose"
+    }
+    
+    return recommended_size, fit_info
+
+def print_size_recommendation(brand: str, chest: int, waist: int, shoulder: int) -> None:
+    """
+    Print a formatted size recommendation.
+    
+    Args:
+        brand (str): Brand name
+        chest (int): Chest measurement in cm
+        waist (int): Waist measurement in cm
+        shoulder (int): Shoulder measurement in cm
+    """
+    try:
+        size, fit_info = get_best_size(brand, chest, waist, shoulder)
+        print(f"\nSize Recommendation for {brand}:")
+        print(f"Recommended size: {size}")
+        print("\nFit Details:")
+        print(f"Chest: {fit_info['chest']}")
+        print(f"Waist: {fit_info['waist']}")
+        print(f"Shoulder: {fit_info['shoulder']}")
+    except ValueError as e:
+        print(f"Error: {str(e)}")
+
+# Example usage
+if __name__ == "__main__":
+    # Example measurements
+    print_size_recommendation("Zara", 95, 80, 43)  # Example measurements