77 lines
2.6 KiB
Python
77 lines
2.6 KiB
Python
from typing import List, Dict, Optional, Union, Any
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import re
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def validate_flower_name(name: str) -> bool:
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"""
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Validate a flower name.
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Args:
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name: The flower name to validate.
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Returns:
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bool: True if the flower name is valid, False otherwise.
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"""
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pattern = r'^[a-zA-Z\s]+$'
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return bool(re.match(pattern, name))
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def get_flower_info(flower_name: str) -> Optional[Dict[str, Any]]:
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"""
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Get information about a flower from an external API or database.
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Args:
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flower_name: The name of the flower.
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Returns:
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Optional[Dict[str, Any]]: A dictionary containing information about the flower, or None if not found.
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"""
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# Implement logic to fetch flower information from an external source
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pass
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def format_flower_list(flowers: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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"""
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Format a list of flower information dictionaries.
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Args:
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flowers: A list of dictionaries containing flower information.
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Returns:
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List[Dict[str, Any]]: A formatted list of dictionaries with flower information.
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"""
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formatted_flowers = []
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for flower in flowers:
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formatted_flower = {
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'name': flower['name'],
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'description': flower.get('description', ''),
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'category': flower.get('category', ''),
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'image_url': flower.get('image_url', '')
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}
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formatted_flowers.append(formatted_flower)
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return formatted_flowers
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def filter_flowers_by_category(flowers: List[Dict[str, Any]], category: str) -> List[Dict[str, Any]]:
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"""
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Filter a list of flower information dictionaries by category.
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Args:
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flowers: A list of dictionaries containing flower information.
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category: The category to filter by.
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Returns:
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List[Dict[str, Any]]: A list of dictionaries containing flower information for the specified category.
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"""
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filtered_flowers = [flower for flower in flowers if flower.get('category', '').lower() == category.lower()]
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return filtered_flowers
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def search_flowers_by_name(flowers: List[Dict[str, Any]], search_term: str) -> List[Dict[str, Any]]:
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"""
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Search for flowers by name in a list of flower information dictionaries.
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Args:
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flowers: A list of dictionaries containing flower information.
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search_term: The search term to use for filtering flower names.
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Returns:
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List[Dict[str, Any]]: A list of dictionaries containing flower information for matching flower names.
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"""
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matching_flowers = [flower for flower in flowers if search_term.lower() in flower['name'].lower()]
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return matching_flowers |