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import json
class DataVisualizationEngine:
"""Generate chart configurations from query results"""
def create_chart(self, data: List[Dict], chart_type: str, config: Dict[str, Any]) -> Dict[str, Any]:
"""
Create chart configuration from data
Args:
data: Query results
chart_type: bar, line, pie, area, scatter, heatmap
config: {
"x_column": "date",
"y_column": "revenue",
"group_by": "category",
"title": "Revenue by Date",
"colors": ["#FFB800", "#00FF88"]
}
"""
try:
if not data:
return {'ok': False, 'error': 'No data provided'}
x_column = config.get('x_column')
y_column = config.get('y_column')
if chart_type == 'pie':
return self._create_pie_chart(data, config)
elif chart_type == 'bar':
return self._create_bar_chart(data, x_column, y_column, config)
elif chart_type == 'line':
return self._create_line_chart(data, x_column, y_column, config)
elif chart_type == 'area':
return self._create_area_chart(data, x_column, y_column, config)
elif chart_type == 'scatter':
return self._create_scatter_chart(data, x_column, y_column, config)
elif chart_type == 'heatmap':
return self._create_heatmap(data, config)
else:
return {'ok': False, 'error': f'Unknown chart type: {chart_type}'}
except Exception as e:
return {'ok': False, 'error': str(e)}
def _create_pie_chart(self, data: List[Dict], config: Dict) -> Dict:
"""Create pie chart configuration"""
label_column = config.get('label_column') or list(data[0].keys())[0]
value_column = config.get('value_column') or list(data[0].keys())[1]
labels = [str(row.get(label_column, '')) for row in data]
values = [float(row.get(value_column, 0)) for row in data]
return {
'ok': True,
'chart_type': 'pie',
'data': {
'labels': labels,
'datasets': [{
'data': values,
'backgroundColor': config.get('colors', self._get_default_colors(len(labels)))
}]
},
'options': {
'title': config.get('title', 'Pie Chart'),
'responsive': True
}
}
def _create_bar_chart(self, data: List[Dict], x_column: str, y_column: str, config: Dict) -> Dict:
"""Create bar chart configuration"""
labels = [str(row.get(x_column, '')) for row in data]
values = [float(row.get(y_column, 0)) for row in data]
group_by = config.get('group_by')
if group_by:
# Grouped bar chart
datasets = self._create_grouped_datasets(data, x_column, y_column, group_by, config)
else:
# Simple bar chart
datasets = [{
'label': y_column,
'data': values,
'backgroundColor': config.get('colors', [self._get_default_colors(1)[0]])[0]
}]
return {
'ok': True,
'chart_type': 'bar',
'data': {
'labels': labels if not group_by else list(set(labels)),
'datasets': datasets
},
'options': {
'title': config.get('title', 'Bar Chart'),
'responsive': True,
'scales': {
'y': {'beginAtZero': True}
}
}
}
def _create_line_chart(self, data: List[Dict], x_column: str, y_column: str, config: Dict) -> Dict:
"""Create line chart configuration"""
labels = [str(row.get(x_column, '')) for row in data]
values = [float(row.get(y_column, 0)) for row in data]
group_by = config.get('group_by')
if group_by:
datasets = self._create_grouped_datasets(data, x_column, y_column, group_by, config, chart_type='line')
else:
datasets = [{
'label': y_column,
'data': values,
'borderColor': config.get('colors', [self._get_default_colors(1)[0]])[0],
'fill': False,
'tension': 0.4
}]
return {
'ok': True,
'chart_type': 'line',
'data': {
'labels': labels if not group_by else list(set(labels)),
'datasets': datasets
},
'options': {
'title': config.get('title', 'Line Chart'),
'responsive': True,
'scales': {
'y': {'beginAtZero': True}
}
}
}
def _create_area_chart(self, data: List[Dict], x_column: str, y_column: str, config: Dict) -> Dict:
"""Create area chart configuration"""
chart = self._create_line_chart(data, x_column, y_column, config)
chart['chart_type'] = 'area'
# Enable fill for area chart
for dataset in chart['data']['datasets']:
dataset['fill'] = True
dataset['backgroundColor'] = dataset['borderColor'] + '40' # Add transparency
return chart
def _create_scatter_chart(self, data: List[Dict], x_column: str, y_column: str, config: Dict) -> Dict:
"""Create scatter chart configuration"""
points = [{'x': float(row.get(x_column, 0)), 'y': float(row.get(y_column, 0))} for row in data]
return {
'ok': True,
'chart_type': 'scatter',
'data': {
'datasets': [{
'label': f'{y_column} vs {x_column}',
'data': points,
'backgroundColor': config.get('colors', [self._get_default_colors(1)[0]])[0]
}]
},
'options': {
'title': config.get('title', 'Scatter Plot'),
'responsive': True,
'scales': {
'x': {'title': {'display': True, 'text': x_column}},
'y': {'title': {'display': True, 'text': y_column}}
}
}
}
def _create_heatmap(self, data: List[Dict], config: Dict) -> Dict:
"""Create heatmap configuration"""
x_column = config.get('x_column')
y_column = config.get('y_column')
value_column = config.get('value_column')
# Build matrix
x_values = sorted(list(set(str(row.get(x_column, '')) for row in data)))
y_values = sorted(list(set(str(row.get(y_column, '')) for row in data)))
matrix = []
for y in y_values:
row = []
for x in x_values:
value = next((float(r.get(value_column, 0)) for r in data
if str(r.get(x_column)) == x and str(r.get(y_column)) == y), 0)
row.append(value)
matrix.append(row)
return {
'ok': True,
'chart_type': 'heatmap',
'data': {
'x_labels': x_values,
'y_labels': y_values,
'matrix': matrix
},
'options': {
'title': config.get('title', 'Heatmap'),
'responsive': True
}
}
def _create_grouped_datasets(self, data: List[Dict], x_column: str, y_column: str,
group_by: str, config: Dict, chart_type: str = 'bar') -> List[Dict]:
"""Create datasets for grouped charts"""
groups = {}
for row in data:
group = str(row.get(group_by, 'Unknown'))
if group not in groups:
groups[group] = []
groups[group].append(row)
colors = config.get('colors', self._get_default_colors(len(groups)))
datasets = []
for i, (group_name, group_data) in enumerate(groups.items()):
values = [float(row.get(y_column, 0)) for row in group_data]
dataset = {
'label': group_name,
'data': values
}
if chart_type == 'line':
dataset['borderColor'] = colors[i]
dataset['fill'] = False
dataset['tension'] = 0.4
else:
dataset['backgroundColor'] = colors[i]
datasets.append(dataset)
return datasets
def _get_default_colors(self, count: int) -> List[str]:
"""Get default color palette"""
base_colors = [
'#FFB800', # Amber
'#00FF88', # Mint
'#FF3B5C', # Crimson
'#0095FF', # Blue
'#9D4EDD', # Purple
'#06FFA5', # Cyan
'#FF006E', # Pink
'#FFBE0B', # Yellow
]
# Repeat colors if needed
return (base_colors * ((count // len(base_colors)) + 1))[:count]
def get_chart_types(self) -> List[Dict[str, str]]:
"""Get available chart types"""
return [
{'value': 'bar', 'label': 'Bar Chart', 'icon': '📊'},
{'value': 'line', 'label': 'Line Chart', 'icon': '📈'},
{'value': 'area', 'label': 'Area Chart', 'icon': '📉'},
{'value': 'pie', 'label': 'Pie Chart', 'icon': '🥧'},
{'value': 'scatter', 'label': 'Scatter Plot', 'icon': '⚫'},
{'value': 'heatmap', 'label': 'Heatmap', 'icon': '🔥'},
]
def analyze_data_for_chart(self, data: List[Dict]) -> Dict[str, Any]:
"""Analyze data and suggest best chart type"""
if not data:
return {'ok': False, 'error': 'No data'}
columns = list(data[0].keys())
numeric_columns = []
categorical_columns = []
for col in columns:
sample_value = data[0].get(col)
try:
float(sample_value)
numeric_columns.append(col)
except:
categorical_columns.append(col)
suggestions = []
if len(categorical_columns) >= 1 and len(numeric_columns) >= 1:
suggestions.append({
'type': 'bar',
'config': {
'x_column': categorical_columns[0],
'y_column': numeric_columns[0]
},
'reason': 'Good for comparing categories'
})
if len(numeric_columns) >= 2:
suggestions.append({
'type': 'scatter',
'config': {
'x_column': numeric_columns[0],
'y_column': numeric_columns[1]
},
'reason': 'Good for correlation analysis'
})
if len(categorical_columns) >= 1 and len(numeric_columns) >= 1:
suggestions.append({
'type': 'pie',
'config': {
'label_column': categorical_columns[0],
'value_column': numeric_columns[0]
},
'reason': 'Good for showing proportions'
})
return {
'ok': True,
'columns': {
'numeric': numeric_columns,
'categorical': categorical_columns
},
'suggestions': suggestions
}
data_visualization_engine = DataVisualizationEngine()
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