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13ba8fa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 | import polars as pl
import pytesseract
from langchain_community.document_loaders import ArxivLoader, WikipediaLoader
from langchain_community.tools.tavily_search import TavilySearchResults
from langchain_core.tools import tool
from PIL import Image
# --------- Basic Math tools ---------
@tool
def add(a: float, b: float) -> float:
"""
Add two numbers.
Args:
a (float): the first number
b (float): the second number
"""
return a + b
@tool
def subtract(a: float, b: float) -> int:
"""
Subtract two numbers.
Args:
a (float): the first number
b (float): the second number
"""
return a - b
@tool
def multiply(a: float, b: float) -> float:
"""
Multiplies two numbers.
Args:
a (float): the first number
b (float): the second number
"""
return a * b
@tool
def divide(a: float, b: float) -> float:
"""
Divides two numbers.
Args:
a (float): the first float number
b (float): the second float number
"""
if b == 0:
raise ValueError("Cannot divided by zero.")
return a / b
@tool
def modulus(a: int, b: int) -> int:
"""
Get the modulus of two numbers.
Args:
a (int): the first number
b (int): the second number
"""
return a % b
@tool
def power(a: float, b: float) -> float:
"""
Get the power of two numbers.
Args:
a (float): the first number
b (float): the second number
"""
return a**b
# ------- Search Tools -------
@tool
def arxiv_search(query: str) -> str:
"""Search Arxiv for a query and return maximum 3 result.
Args:
query: The search query."""
search_docs = ArxivLoader(query=query, load_max_docs=3).load()
formatted_search_docs = "\n\n---\n\n".join(
[
f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content[:1000]}\n</Document>'
for doc in search_docs
]
)
return {"arxiv_results": formatted_search_docs}
@tool
def web_search(query: str) -> str:
"""Search the Web via Tavily for a query and return 3 results in maximum.
Args:
query: The search query."""
search_docs = TavilySearchResults(max_results=3).invoke(query)
formatted_search_docs = "\n\n---\n\n".join(
[
f'<Document source="{doc.metadata.get("url", "")}" title="{doc.get("title", "")}"/>\n{doc.get("content", "")}\n</Document>'
for doc in search_docs
]
)
return {"web_results": formatted_search_docs}
@tool
def wikipedia_search(query: str) -> str:
"""Search Wikipedia for a query and return maximum 3 results.
Args:
query: The search query."""
search_docs = WikipediaLoader(query=query, load_max_docs=3).load()
formatted_search_docs = "\n\n---\n\n".join(
[
f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>'
for doc in search_docs
])
return {"wiki_results": formatted_search_docs}
# ------ Document Processing Tools ------
@tool
def extract_text_from_image(image_path: str) -> str:
"""
Extract text from an image by using pytesseract via OCR.
Args:
image_path (str): the path to the image file.
"""
try:
image = Image.open(image_path)
text = pytesseract.image_to_string(image)
return f"Extracted the text from image:\n\n{text}"
except Exception as e:
return f"Error extracting text from image: {str(e)}"
@tool
def analyze_csv_file(file_path: str, query: str) -> str:
"""
Analyze a CSV file by using Polars and answer a question about it.
Args:
file_path (str): the path to the CSV file.
query (str): Question about the data
"""
try:
df = pl.read_csv(file_path)
result = f"CSV file loaded with {len(df)} rows and {len(df.columns)} columns.\n"
result += f"Columns: {', '.join(df.columns)}\n\n"
result += "Summary statistics:\n"
result += str(df.describe())
return result
except Exception as e:
return f"Error occured analyzing CSV file: {str(e)}"
@tool
def analyze_excel_file(file_path: str, query: str) -> str:
"""
Analyze an Excel file using Polars and answer a question about it.
Args:
file_path (str): the path to the Excel file.
query (str): Question about the data
"""
try:
df = pl.read_excel(file_path)
result = (
f"Excel file loaded with {len(df)} rows and {len(df.columns)} columns.\n"
)
result += f"Columns: {', '.join(df.columns)}\n\n"
result += "Summary statistics:\n"
result += str(df.describe())
return result
except Exception as e:
return f"Error occured analyzing Excel file: {str(e)}"
tools = [
multiply,
add,
subtract,
divide,
modulus,
power,
web_search,
wikipedia_search,
arxiv_search,
extract_text_from_image,
analyze_csv_file,
analyze_excel_file,
]
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