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"""
Formatting tools for displaying analysis results with rich formatting.
"""
import json
from loguru import logger
from smolagents import Tool
from rich.console import Console
from rich.panel import Panel
from rich.text import Text
from rich.table import Table
from rich.markdown import Markdown
from rich.theme import Theme
from rich.box import ROUNDED
from rich.console import Group
class FormatAnalysisResultsTool(Tool):
"""Tool for formatting analysis results"""
name = "format_analysis_results"
description = "Formats the analysis results for better readability"
inputs = {
"analysis_json": {"type": "any", "description": "JSON string or dictionary containing the analysis results"},
"pretty": {"type": "boolean", "description": "Whether to use rich formatting (True) or simple text formatting (False)", "nullable": True}
}
output_type = "string"
def forward(self, analysis_json, pretty: bool = True) -> str:
"""
Formats the analysis results for better readability.
Args:
analysis_json: JSON string or dictionary containing the analysis results
pretty: Whether to use rich formatting (True) or simple text formatting (False)
Returns:
A formatted string representation of the analysis
"""
try:
# Parse the JSON string into a Python dictionary if it's a string
if isinstance(analysis_json, str):
analysis = json.loads(analysis_json)
else:
analysis = analysis_json
if pretty:
# Rich formatting with the rich library
try:
# Create a string buffer to capture the rich output
console = Console(record=True, width=100)
# Create a custom theme for consistent styling
# Using direct style definitions instead of named styles
custom_theme = Theme({
"heading": "bold cyan underline",
"highlight": "bold yellow",
"positive": "green",
"negative": "red",
"neutral": "magenta",
"quote": "italic yellow",
"metadata": "dim white"
})
# Apply the theme to our console
console.theme = custom_theme
# Format the summary section
summary = analysis.get("summary", "No summary available")
console.print(Panel(Text(summary, justify="center"), title="[heading]Song Analysis[/]", subtitle="[metadata]Summary[/]"))
# Create a table for the main themes and mood
info_table = Table(show_header=False, box=ROUNDED, expand=True)
info_table.add_column("Key", style="bold blue")
info_table.add_column("Value")
# Add the mood
mood = analysis.get("mood", "Not specified")
info_table.add_row("Mood", mood)
# Add the themes as a comma-separated list
themes = analysis.get("main_themes", [])
if themes:
themes_text = ", ".join([f"[highlight]{theme}[/]" for theme in themes])
info_table.add_row("Main Themes", themes_text)
console.print(info_table)
# Section-by-section analysis
sections = analysis.get("sections_analysis", [])
if sections:
console.print("\n[heading]Section-by-Section Analysis[/]")
for section in sections:
section_type = section.get("section_type", "Unknown")
section_number = section.get("section_number", "")
section_title = f"{section_type.title()} {section_number}" if section_number else section_type.title()
section_analysis = section.get("analysis", "No analysis available")
lines = section.get("lines", [])
# Create a group with the lyrics and analysis
section_content = []
if lines:
lyrics_text = "\n".join([f"> [quote]{line}[/]" for line in lines])
section_content.append(Text("Lyrics:", style="bold blue"))
section_content.append(Markdown(lyrics_text))
section_content.append(Text("Analysis:", style="bold blue"))
section_content.append(Text(section_analysis))
# Add the section panel
console.print(Panel(
Group(*section_content),
title=f"[bold cyan]{section_title}[/]",
border_style="cyan"
))
# Significant lines
sig_lines = analysis.get("significant_lines", [])
if sig_lines:
console.print("\n[heading]Significant Lines[/]")
for i, line_data in enumerate(sig_lines):
line = line_data.get("line", "")
significance = line_data.get("significance", "")
console.print(Panel(
f"[quote]\"{line}\"[/]\n\n[bold blue]Significance:[/] {significance}",
title=f"[highlight]Key Line #{i+1}[/]",
border_style="highlight"
))
# Conclusion
conclusion = analysis.get("conclusion", "No conclusion available")
console.print("\n[heading]Conclusion[/]")
console.print(Panel(conclusion, border_style="neutral"))
# Export the rich text as a string
return console.export_text()
except Exception as e:
logger.error("Error in rich formatting: {}", str(e))
# Fall back to simple formatting if rich formatting fails
logger.info("Falling back to simple text formatting")
pretty = False
if not pretty:
# Simple text formatting
formatted_text = []
# Summary
formatted_text.append("SONG ANALYSIS SUMMARY")
formatted_text.append("====================")
formatted_text.append(analysis.get("summary", "No summary available"))
formatted_text.append("")
# Main themes
themes = analysis.get("main_themes", [])
if themes:
formatted_text.append("MAIN THEMES")
formatted_text.append("===========")
for theme in themes:
formatted_text.append(f"• {theme}")
formatted_text.append("")
# Mood
mood = analysis.get("mood", "Not specified")
formatted_text.append("MOOD")
formatted_text.append("====")
formatted_text.append(mood)
formatted_text.append("")
# Sections analysis
sections = analysis.get("sections_analysis", [])
if sections:
formatted_text.append("SECTION-BY-SECTION ANALYSIS")
formatted_text.append("==========================")
for i, section in enumerate(sections):
section_type = section.get("section_type", "Unknown")
section_number = section.get("section_number", i+1)
section_analysis = section.get("analysis", "No analysis available")
formatted_text.append(f"{section_type.upper()} {section_number}")
formatted_text.append("-" * (len(section_type) + len(str(section_number)) + 1))
# Format the section lines
lines = section.get("lines", [])
if lines:
formatted_text.append("Lyrics:")
for line in lines:
formatted_text.append(f"> {line}")
formatted_text.append("")
formatted_text.append("Analysis:")
formatted_text.append(section_analysis)
formatted_text.append("")
# Significant lines
sig_lines = analysis.get("significant_lines", [])
if sig_lines:
formatted_text.append("SIGNIFICANT LINES")
formatted_text.append("=================")
for i, line_data in enumerate(sig_lines):
line = line_data.get("line", "")
significance = line_data.get("significance", "")
formatted_text.append(f"Key Line #{i+1}:")
formatted_text.append(f'"{line}"')
formatted_text.append(f"Significance: {significance}")
formatted_text.append("")
# Conclusion
conclusion = analysis.get("conclusion", "No conclusion available")
formatted_text.append("CONCLUSION")
formatted_text.append("==========")
formatted_text.append(conclusion)
return "\n".join(formatted_text)
except json.JSONDecodeError:
logger.error("Failed to parse analysis JSON: {}", analysis_json[:100] + "..." if len(analysis_json) > 100 else analysis_json)
return f"Error: Could not parse the analysis result as JSON. Raw output:\n{analysis_json}"
except Exception as e:
logger.error("Error formatting analysis: {}", str(e))
return f"Error formatting analysis: {str(e)}\nRaw output:\n{analysis_json}"
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