"""
KnowledgeIntegration
Generated by Eden via recursive self-improvement
2025-10-28 15:14:34.081943
"""

def parse_text(text):
    """Parses simple text and extracts key-value pairs."""
    # Mock implementation, would use NLP or pattern matching in real case
    return {
        'source': 'text',
        'content': text.strip(),
        'length_chars': len(text)
    }

def parse_json(json_data):
    """Parses JSON data and extracts relevant fields."""
    parsed = json.loads(json_data)
    return {
        'source': 'json',
        'data_type': parsed.get('type'),
        'value': parsed.get('value'),
        'timestamp': parsed.get('timestamp')
    }

def parse_csv(csv_row):
    """Parses CSV row and extracts key-value pairs."""
    values = csv_row.split(',')
    return {
        'source': 'csv',
        'column1': values[0],
        'column2': values[1] if len(values) > 1 else None,
        'row_number': parse_csv.row_count
    }

parse_csv.row_count = 0
def increment_csv_row():
    """Helper to track CSV row count."""
    parse_csv.row_count += 1

class KnowledgeIntegrator:
    def __init__(self):
        self.knowledge_base = {}
        
    def add(self, content, content_type='text'):
        """
        Adds knowledge from various sources.
        
        Args:
            content: The input data
            content_type: Type of content (text, json, csv)
        """
        if content_type == 'text':
            parsed_data = parse_text(content)
        elif content_type == 'json':
            parsed_data = parse_json(content)
        elif content_type == 'csv':
            increment_csv_row()
            parsed_data = parse_csv(content)
        else:
            raise ValueError("Unsupported content type")
            
        self._compile_knowledge(parsed_data)
        
    def _compile_knowledge(self, data):
        """Compiles extracted knowledge into a unified format."""
        if not data:
            return
            
        for key, value in data.items():
            if key in ['source', 'timestamp']:
                continue  # Skip certain keys
            self.knowledge_base[key] = {
                'value': str(value),
                'source_type': data['source']
            }
            
    def get_knowledge(self):
        """Returns the compiled knowledge base."""
        return self.knowledge_base

# Example usage:
integrator = KnowledgeIntegrator()

# Add text
integrator.add("Temperature: 32C", content_type='text')

# Add JSON
json_str = '{"type": "weather_data", "value": "sunny", "timestamp": "2023-10-05"}'
integrator.add(json_str, content_type='json')

# Add CSV (requires initializing row count)
parse_csv.row_count = 0
csv_row = "Date,Value"
integrator.add(csv_row, content_type='csv')
csv_row = "2023-10-05,sunny_weather"
integrator.add(csv_row, content_type='csv')

print(integrator.get_knowledge())