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To solve this problem, we need to reformat HTML content based on system requirements provided in a specific structure. The goal is to transform the input data into a standardized HTML format suitable for display on a webpage.
### Approach
1. **Understanding the Input Structure**: The input consists of an array of objects, where each object contains system requirements. Each object may have a "system" key (indicating the operating system) and a "requirement" key (containing the system specifications either as plain text or as HTML).
2. **Parsing the Requirements**: For each system (e.g., Windows, Mac, Linux), we need to extract the system specifications. If the specifications are provided as HTML, we need to parse this HTML to extract individual key-value pairs.
3. **Structuring the Output**: The output should follow a consistent format for each system. Each system's requirements are wrapped in a `
` with a class "prod-spec". This div contains a heading, a paragraph indicating "MINIMUM SPECS", and an unordered list where each list item includes a span for the key (e.g., OS, Processor) followed by its corresponding value.
4. **Handling Nested HTML**: If the requirements are provided as an HTML string, each `
` within this string is parsed to extract the key and value. These are then structured into the required format.
### Solution Code
```python
from bs4 import BeautifulSoup
import json
def reformat_system_requirements(input_json):
# Parse the input JSON
data = json.loads(input_json)
html_output = []
for item in data:
system = item.get("system", "PC")
requirements = item.get("requirement", "")
# If requirements are HTML, parse them
if isinstance(requirements, str) and requirements.strip().startswith('<'):
soup = BeautifulSoup(requirements, 'html.parser')
req_list = soup.find('ul').find_all('li')
else:
# Handle if requirements are in a different format
req_list = []
if isinstance(requirements, list):
req_list = requirements
else:
req_list.append(requirements)
# Create the HTML structure
html = f''
html += f'
{system} System Requirements
'
html += '
'
html += '
MINIMUM SPECS
'
html += '
'
for req in req_list:
if isinstance(req, dict):
key = list(req.keys())[0]
value = req[key]
elif isinstance(req, str):
# Assuming the string is in the format "Key: Value"
parts = req.split(':')
key = parts[0].strip()
value = ':'.join(parts[1:]).strip()
else:
# Parse from BeautifulSoup if it's a Tag object
key_tag = req.find('strong')
key = key_tag.get_text().strip() if key_tag else ''
value = req.get_text().replace(key_tag.get_text(), '').strip()
html += f'- {key}: {value}
'
html += '
'
html += '
'
html_output.append(html)
# Combine all system requirements into a single string
return '\n
\n
\n'.join(html_output)
```
### Explanation
1. **Parsing Input**: The input JSON is parsed to extract each system and its corresponding requirements. The system name is used to create a heading, and the requirements are processed to create the list items.
2. **Handling HTML Requirements**: If the requirements are provided as an HTML string, it is parsed using BeautifulSoup to extract each ``. Each list item is then processed to extract the key (e.g., OS, Processor) and its corresponding value.
3. **Constructing Output**: Each system's requirements are wrapped in a `` with the appropriate class. The heading, "MINIMUM SPECS" paragraph, and list items are constructed within this div. Each list item includes a span for the key followed by its value.
4. **Combining Outputs**: The HTML for each system is combined into a single string, with each system separated by `
` tags to ensure proper spacing.
This approach ensures that the system requirements are displayed in a consistent and readable format, regardless of the input structure.
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