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Leonardo
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Update scripts/frontmatter_tool.py
Browse files- scripts/frontmatter_tool.py +15 -62
scripts/frontmatter_tool.py
CHANGED
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@@ -3,10 +3,13 @@ Frontmatter Generator Tool for Smolagents
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This tool helps generate consistent YAML frontmatter for documents,
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useful for RAG systems, static site generators, and document organization.
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"""
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import re
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import yaml
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from datetime import datetime
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from typing import Dict, List, Optional, Any, Union
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from smolagents import Tool
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@@ -20,6 +23,7 @@ class FrontmatterGeneratorTool(Tool):
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Generates or extracts YAML frontmatter for documents. Frontmatter provides structured
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metadata for documents including title, author, date, description, and tags.
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Useful for document organization, RAG systems, and static site generators.
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"""
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inputs = {
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@@ -27,37 +31,37 @@ class FrontmatterGeneratorTool(Tool):
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"type": "string",
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"description": "Document content (with or without existing frontmatter)",
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},
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"title": {"type": "string", "description": "Document title", "
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"author": {
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"type": "string",
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"description": "Document author(s)",
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"
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},
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"date": {
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"type": "string",
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"description": "Document date in YYYY-MM-DD format (defaults to today if not provided)",
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"
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},
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"date_format": {
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"type": "string",
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"description": "Format string for the document date (e.g., '%Y-%m-%d', '%d/%m/%Y'). Defaults to '%Y-%m-%d'",
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"
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"default": "%Y-%m-%d",
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},
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"description": {
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"type": "string",
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"description": "Brief description of the document",
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"
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},
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"tags": {
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"type": "string",
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"description": "Comma-separated list of tags",
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"
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},
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"additional_fields": {
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"type": "string",
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"description": "JSON string with additional frontmatter fields",
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"
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},
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"mode": {
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"type": "string",
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@@ -130,6 +134,10 @@ class FrontmatterGeneratorTool(Tool):
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else:
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return "Error: Empty content provided"
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# Process based on mode
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try:
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if mode == "extract":
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@@ -191,8 +199,6 @@ class FrontmatterGeneratorTool(Tool):
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return {}
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try:
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import json
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return json.loads(additional_fields)
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except json.JSONDecodeError:
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raise ValueError("additional_fields must be a valid JSON string")
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@@ -393,56 +399,3 @@ class FrontmatterGeneratorTool(Tool):
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# Combine frontmatter with content
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return frontmatter + clean_content
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# Example usage
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def example_usage():
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"""Simple example of how to use the FrontmatterGeneratorTool"""
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tool = FrontmatterGeneratorTool()
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# Example document
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document = """# The Role of the Seat in International Arbitration
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This paper examines the significance of the seat in international arbitration proceedings,
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with a focus on recent developments in Australian law."""
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# Generate frontmatter
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result = tool.forward(
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content=document,
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title="The Role of the Seat in International Arbitration",
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author="Matthew Barry",
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date="13 March 2013", # Now handles this format correctly
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description="A legal analysis of the role of the seat in international arbitration.",
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tags="international arbitration, enforcement, australian courts",
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mode="generate",
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)
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print(result)
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return result
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# Define what gets imported with "from frontmatter_generator import *"
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__all__ = ["FrontmatterGeneratorTool", "example_usage"]
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# Example usage
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if __name__ == "__main__":
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tool = FrontmatterGeneratorTool()
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# # Example document
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# document = """# The Role of the Seat in International Arbitration
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# This paper examines the significance of the seat in international arbitration proceedings,
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# with a focus on recent developments in Australian law."""
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# # Generate frontmatter
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# result = tool.forward(
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# content=document,
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# title="The Role of the Seat in International Arbitration",
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# author="Matthew Barry",
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# date="2013-12-13",
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# description="A legal analysis of the role of the seat in international arbitration.",
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# tags="international arbitration, enforcement, australian courts",
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# mode="generate"
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# )
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# print(result)
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This tool helps generate consistent YAML frontmatter for documents,
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useful for RAG systems, static site generators, and document organization.
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Integrates with TextInspectorTool and MarkdownConverter for a complete
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document processing pipeline.
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"""
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import re
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import yaml
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import json
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from datetime import datetime
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from typing import Dict, List, Optional, Any, Union
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from smolagents import Tool
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Generates or extracts YAML frontmatter for documents. Frontmatter provides structured
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metadata for documents including title, author, date, description, and tags.
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Useful for document organization, RAG systems, and static site generators.
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Works with content from the inspect_file_as_text tool to add metadata to documents.
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"""
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inputs = {
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"type": "string",
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"description": "Document content (with or without existing frontmatter)",
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},
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"title": {"type": "string", "description": "Document title", "nullable": True},
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"author": {
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"type": "string",
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"description": "Document author(s)",
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"nullable": True,
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},
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"date": {
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"type": "string",
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"description": "Document date in YYYY-MM-DD format (defaults to today if not provided)",
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"nullable": True,
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},
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"date_format": {
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"type": "string",
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"description": "Format string for the document date (e.g., '%Y-%m-%d', '%d/%m/%Y'). Defaults to '%Y-%m-%d'",
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"nullable": True,
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"default": "%Y-%m-%d",
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},
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"description": {
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"type": "string",
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"description": "Brief description of the document",
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"nullable": True,
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},
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"tags": {
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"type": "string",
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"description": "Comma-separated list of tags",
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"nullable": True,
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},
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"additional_fields": {
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"type": "string",
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"description": "JSON string with additional frontmatter fields",
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"nullable": True,
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},
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"mode": {
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"type": "string",
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else:
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return "Error: Empty content provided"
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# Special handling for TextInspectorTool output
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if content.startswith("Document content:"):
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content = content[len("Document content:") :].strip()
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# Process based on mode
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try:
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if mode == "extract":
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return {}
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try:
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return json.loads(additional_fields)
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except json.JSONDecodeError:
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raise ValueError("additional_fields must be a valid JSON string")
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# Combine frontmatter with content
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return frontmatter + clean_content
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