6f9be8a6c4
- Add ChatManager class for OpenAI-compatible API communication (silicon.fhgr.ch:7080) - Add SystemPrompter for intelligent prompt generation with file context - Integrate ChatManager into frontend chat component - Add comprehensive pytest tests (40+ tests covering unit and integration scenarios) - Implement error handling for API failures, timeouts, and connection issues - Add environment variable-based configuration for API credentials - Update frontend state initialization to include ChatManager - All tests passing with mock/patch isolation for API calls
39 lines
1.5 KiB
Python
39 lines
1.5 KiB
Python
"""System Prompter - Builds system prompts with optional file context"""
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MAX_FILE_CHARS = 4000 # Limit file context to avoid token overflow
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class SystemPrompter:
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@staticmethod
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def generate_prompt(file_context: dict | None = None) -> str:
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"""Build a system prompt, optionally embedding a file's content.
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Args:
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file_context: dict with keys 'name' and 'content', or None.
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Returns:
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A system prompt string.
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"""
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base = (
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"You are an expert code assistant integrated into a lightweight code editor. "
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"Help the user with code suggestions, debugging, explanations, and improvements. "
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"Be concise and precise. Use markdown and fenced code blocks where appropriate."
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)
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if file_context:
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name = file_context.get("name", "unknown")
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content = file_context.get("content", "")
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# Truncate large files to avoid exceeding token limits
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if len(content) > MAX_FILE_CHARS:
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content = content[:MAX_FILE_CHARS] + "\n... [truncated]"
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file_section = (
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f"\n\nThe user currently has the following file open in the editor:\n"
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f"<file name=\"{name}\">\n"
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f"<code>\n{content}\n</code>\n"
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f"</file>\n"
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f"Refer to this file when answering questions about the code."
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)
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return base + file_section
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return base
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