Importing .Net System.Globalization of into xtd - Reply by ChatGPT (internal)
I'm thinking of maybe adding an advanced version of CultureInfo as in .Net in xtd. I was thinking, to keep it simple. I could pull in the .Net grace data, consolidate it into a json or xml file and run it through xtd. Do you think this is usable or is it lame?
Is Your Approach Feasible?
Your idea is far from clumsy! It’s a clever way to leverage a comprehensive dataset while remaining independent of .NET at runtime. Here are some thoughts to help you validate (or adjust) your plan:
Advantages of Your Approach:
- 
Ease of Integration:
- Extracting data from .NET (e.g., via 
CultureInfoand its methods) allows you to immediately benefit from a comprehensive culture database without reinventing the wheel. - Consolidating the data into a JSON/XML file simplifies data loading and management.
 
 - Extracting data from .NET (e.g., via 
 - 
Independence from .NET:
- Once the data is extracted and stored, your implementation in xtd becomes entirely independent of .NET, which is a significant benefit for portability.
 
 - 
Customization Options:
- You could add specific features or tweaks in xtd without being constrained by .NET’s API.
 
 - 
Controlled Performance:
- Static data (JSON/XML) can be easily cached, minimizing runtime performance impact.
 
 
Potential Challenges and Solutions:
- 
Data Volume:
- The 
CultureInfodatabase is substantial. If you export all cultures and their associated formats (numbers, dates, currencies, calendars, etc.), the file might become large. - Solution:
Include only the most common cultures by default and allow optional downloading of additional cultures. 
 - The 
 - 
Synchronization with Updates:
- Globalization data evolves over time (e.g., new cultures, monetary reforms, etc.).
 - Solution:
Provide a script or automated tool in xtd to regenerate the JSON/XML file from .NET to keep the data up to date. 
 - 
Data Access Performance:
- Reading and parsing JSON/XML can be slower compared to using an in-memory database.
 - Solution:
Load the data into an optimized structure in memory (like astd::unordered_map) at runtime, or consider using a pre-compiled binary format to speed up loading. 
 - 
Platform-Specific Differences:
- If targeting platforms with unique cultural specifics (e.g., macOS or Linux using ICU), ensure that data extracted from .NET doesn’t create inconsistencies.
 - Solution:
Cross-check the extracted data with other sources, such as ICU, to avoid surprises on non-Windows platforms. 
 
Concrete Steps to Implement This Idea:
- 
Extract Data from .NET:
- Use a C# application to iterate through all available cultures (
CultureInfo.GetCultures(CultureTypes.AllCultures)) and export the necessary information (date formats, number formats, names, etc.) into a JSON or XML file. 
 - Use a C# application to iterate through all available cultures (
 - 
Design a Parser in xtd:
- Implement a class (e.g., 
xtd::globalization::culture_info) to load and interpret this data. Include static methods likeculture_info::get_current_culture()to mimic .NET. 
 - Implement a class (e.g., 
 - 
Optimization:
- If file size becomes an issue, consider using a custom binary format or including only essential data (e.g., default formats for each culture).
 
 - 
Add Unit Tests:
- Verify that the generated formats in xtd match expected results for various cultures (especially for edge cases like decimal numbers, sorting, or calendars).
 
 
My Opinion:
This solution is entirely viable, especially if you aim to offer an API similar to .NET. It would fill a gap in C++ while leveraging .NET's comprehensive data. As long as you anticipate challenges related to size and performance, this project could become one of the standout features of xtd. 😊
If you’d like me to help sketch a plan or an example extraction script, feel free to ask!