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$(cat <<EOF
Browse filesFix JSON parsing and enhance Gradio UI with full analysis
- Simplify JSON sanitization: strip all newlines/tabs before parsing
- Add Key Opportunities field to Gradio interface
- Add Detailed Analysis/Reasoning field (8 lines)
- Update how-it-works to mention Gemini integration
- Fix return tuple to include all 6 output fields
Now displays complete Gemini analysis instead of partial results.
:robot: Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <[email protected]>
EOF
)
- src/agents/synthesis_agent.py +9 -11
- src/api/server.py +25 -8
src/agents/synthesis_agent.py
CHANGED
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@@ -261,20 +261,18 @@ IMPORTANT: Return ONLY valid JSON. No markdown, no code blocks, no extra text. U
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elif "```" in response_text:
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response_text = response_text.split("```")[1].split("```")[0].strip()
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#
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#
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response_text = ''.
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char if (char.isprintable() or char in [' ', '\n', '\r', '\t']) else ' '
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for char in response_text
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)
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# Replace multiple spaces with single space
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response_text = re.sub(r'
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#
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-
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try:
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result = json.loads(response_text)
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elif "```" in response_text:
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response_text = response_text.split("```")[1].split("```")[0].strip()
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# Simple approach: Remove ALL newlines and tabs from JSON
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# JSON doesn't need pretty-printing to be valid
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response_text = response_text.replace('\n', ' ').replace('\r', ' ').replace('\t', ' ')
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# Replace multiple spaces with single space
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response_text = re.sub(r'\s+', ' ', response_text)
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# Remove non-printable control characters (but we already removed \n, \r, \t)
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response_text = ''.join(
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char if char.isprintable() or char == ' ' else ' '
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for char in response_text
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)
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try:
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result = json.loads(response_text)
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src/api/server.py
CHANGED
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@@ -28,17 +28,17 @@ class AnalysisServer:
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filing_type: str = "10-K",
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include_news: bool = True,
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include_technicals: bool = True,
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) -> Tuple[str, str, str, str]:
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"""
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Main analysis function for Gradio interface
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Returns:
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Tuple of (sentiment, confidence, risks, recommendation)
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"""
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try:
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# Validate input
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if not ticker:
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return ("Error", "N/A", "Ticker symbol required", "N/A")
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ticker = ticker.strip().upper()
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@@ -65,16 +65,23 @@ class AnalysisServer:
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]
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)
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return (
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rec.sentiment,
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rec.confidence,
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risks_text if risks_text else "No significant risks identified",
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rec.recommended_action,
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)
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except Exception as e:
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logger.error(f"Error in analysis: {str(e)}")
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return ("Error", "N/A", f"Analysis failed: {str(e)}", "N/A")
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def create_interface(self) -> gr.Blocks:
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"""Create Gradio interface"""
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@@ -123,11 +130,21 @@ class AnalysisServer:
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lines=5,
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interactive=False,
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)
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action = gr.Textbox(
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label="Recommended Action",
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lines=2,
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interactive=False,
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)
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# Examples
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gr.Examples(
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@@ -155,7 +172,7 @@ class AnalysisServer:
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include_news,
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include_technicals,
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],
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outputs=[sentiment, confidence, risks, action],
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)
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gr.Markdown("---")
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@@ -163,10 +180,10 @@ class AnalysisServer:
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"""
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### How it works:
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1. **SEC Filing Agent** - Analyzes SEC filings with FinBERT/SEC-BERT + LIME explainability
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2. **Market Intelligence Agent** - Gathers real-time price data, technicals, and news
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3. **Synthesis Agent** -
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Built with multi-agent architecture for deep, explainable equity analysis.
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"""
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)
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filing_type: str = "10-K",
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include_news: bool = True,
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include_technicals: bool = True,
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) -> Tuple[str, str, str, str, str]:
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"""
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Main analysis function for Gradio interface
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Returns:
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Tuple of (sentiment, confidence, risks, opportunities, recommendation, reasoning)
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"""
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try:
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# Validate input
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if not ticker:
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return ("Error", "N/A", "Ticker symbol required", "N/A", "N/A", "N/A")
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ticker = ticker.strip().upper()
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]
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)
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# Format opportunities
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opps_text = "\n".join(
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[f"• {opp}" for opp in rec.key_opportunities]
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)
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return (
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rec.sentiment,
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rec.confidence,
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risks_text if risks_text else "No significant risks identified",
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opps_text if opps_text else "No significant opportunities identified",
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rec.recommended_action,
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rec.reasoning,
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)
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except Exception as e:
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logger.error(f"Error in analysis: {str(e)}")
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return ("Error", "N/A", f"Analysis failed: {str(e)}", "N/A", "N/A", "N/A")
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def create_interface(self) -> gr.Blocks:
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"""Create Gradio interface"""
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lines=5,
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interactive=False,
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)
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opportunities = gr.Textbox(
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label="Key Opportunities",
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lines=3,
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interactive=False,
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)
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action = gr.Textbox(
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label="Recommended Action",
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lines=2,
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interactive=False,
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)
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reasoning = gr.Textbox(
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label="Detailed Analysis",
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lines=8,
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interactive=False,
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)
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# Examples
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gr.Examples(
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include_news,
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include_technicals,
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],
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outputs=[sentiment, confidence, risks, opportunities, action, reasoning],
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)
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gr.Markdown("---")
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"""
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### How it works:
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1. **SEC Filing Agent** - Analyzes SEC filings with FinBERT/SEC-BERT + LIME explainability
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+
2. **Market Intelligence Agent** - Gathers real-time price data, technicals, and news (Gemini-powered sentiment)
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3. **Synthesis Agent** - Gemini 2.0 Flash synthesizes fundamental vs. market data for final recommendation
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Built with multi-agent architecture for deep, explainable equity analysis. Combines domain-specific ML models with LLM reasoning.
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"""
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)
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