clean up expert display panel
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@ -16,7 +16,9 @@
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[](LICENSE)
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[]()
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<img src="assets/demo.gif" alt="RA.Aid Demo" autoplay loop style="width: 100%; max-width: 800px;">
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Here's a video of RA.Aid adding a feature to itself:
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<img src="assets/demo-ra-aid-task-1.gif" alt="RA.Aid Demo" autoplay loop style="width: 100%; max-width: 800px;">
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> 👋 **Pull requests are very welcome!** As a technical founder with limited time (who uses RA.Aid to save time), I greatly appreciate any contributions to this repository. Don't be shy - your help makes a real difference!
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>
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@ -133,55 +133,46 @@ def ask_expert(question: str) -> str:
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"""
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global expert_context
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# Build query with context and key facts
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query_parts = []
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# Add key facts if they exist
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key_facts = get_memory_value('key_facts')
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if key_facts and len(key_facts) > 0:
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query_parts.append("# Key Facts About This Project")
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query_parts.append(key_facts)
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# Add key snippets if they exist
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# Get all content first
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related_contents = read_related_files()
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key_snippets = get_memory_value('key_snippets')
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if key_snippets and len(key_snippets) > 0:
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query_parts.append('# Key Snippets')
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query_parts.append(key_snippets)
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key_facts = get_memory_value('key_facts')
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# Add other context if it exists
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if expert_context:
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query_parts.append("\n# Additional Context")
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query_parts.append("\n".join(expert_context))
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# Build display query (just question)
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display_query = "# Question\n" + question
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# Add the question
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if query_parts: # If we have context/facts, add a newline before question
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query_parts.append("\n# Question")
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query_parts.append(question)
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# Join all parts
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query = "\n".join(query_parts)
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# Display the query in a panel before making the call
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# Show only question in panel
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console.print(Panel(
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Markdown(query),
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Markdown(display_query),
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title="🤔 Expert Query",
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border_style="yellow"
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))
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# Clear context after use (only after successful panel display)
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# Clear context after panel display
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expert_context.clear()
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# Get related file contents and rebuild query with it at the start
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related_contents = read_related_files()
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if related_contents:
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# Create new query_parts with related files at the start
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new_query_parts = ['# Related Files', related_contents]
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new_query_parts.extend(query_parts)
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query_parts = new_query_parts
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query = "\n".join(query_parts)
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# Build full query in specified order
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query_parts = []
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# Get response
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response = get_model().invoke(query)
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if related_contents:
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query_parts.extend(['# Related Files', related_contents])
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if key_snippets and len(key_snippets) > 0:
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query_parts.extend(['# Key Snippets', key_snippets])
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if key_facts and len(key_facts) > 0:
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query_parts.extend(['# Key Facts About This Project', key_facts])
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if expert_context:
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query_parts.extend(['\n# Additional Context', '\n'.join(expert_context)])
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query_parts.extend(['# Question', question])
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# Join all parts
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full_query = '\n'.join(query_parts)
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# Get response using full query
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response = get_model().invoke(full_query)
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# Format and display response
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console.print(Panel(
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