75e7b9da3d
Dashboard Features: - 8 navigation sections: Overview, Outcomes, Poor CX, FCR, Churn, Agent, Call Explorer, Export - Beyond Brand Identity styling (colors #6D84E3, Outfit font) - RCA Sankey diagram (Driver → Outcome → Churn Risk flow) - Correlation heatmaps (driver co-occurrence, driver-outcome) - Outcome Deep Dive (root causes, correlation, duration analysis) - Export functionality (Excel, HTML, JSON) Blueprint Compliance: - FCR: 4 categories (Primera Llamada/Rellamada × Sin/Con Riesgo de Fuga) - Churn: Binary view (Sin Riesgo de Fuga / En Riesgo de Fuga) - Agent: Talento Para Replicar / Oportunidades de Mejora - Fixed FCR rate calculation (only FIRST_CALL counts as success) Technical: - Streamlit + Plotly for interactive visualizations - Light theme configuration (.streamlit/config.toml) - Fixed Plotly colorbar titlefont deprecation Documentation: - Updated PROJECT_CONTEXT.md, TODO.md, CHANGELOG.md - Added 4 new technical decisions (TD-014 to TD-017) - Created TROUBLESHOOTING.md with 10 common issues Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
30 lines
487 B
Python
30 lines
487 B
Python
"""
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CXInsights - Pipeline Module
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End-to-end pipeline for call analysis.
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"""
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from src.pipeline.models import (
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PipelineConfig,
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PipelineManifest,
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PipelineStage,
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StageManifest,
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StageStatus,
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)
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from src.pipeline.pipeline import (
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CXInsightsPipeline,
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run_pipeline,
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)
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__all__ = [
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# Models
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"PipelineConfig",
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"PipelineManifest",
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"PipelineStage",
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"StageManifest",
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"StageStatus",
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# Pipeline
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"CXInsightsPipeline",
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"run_pipeline",
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]
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