# find_image_path

Firstly, we will divide this documentation into multiple sections.

# Overview
The module **swarms.utils** has the main goal of providing necessary utility functions that are crucial during the creation of the swarm intelligence frameworks. These utility functions can include common operations such as handling input-output operations for files, handling text parsing, and handling basic mathematical computations necessary during the creation of swarm intelligence models. 

The current function `find_image_path` in the module is aimed at extracting an image path from a given text document.

# Function Detailed Explanation

## Definition
The function `find_image_path` takes a singular argument as an input:

```python
def find_image_path(text):
    # function body
```

## Parameter
The parameter `text` in the function is a string that represents the document or text from which the function is trying to extract all paths to the images present. The function scans the given text, looking for <em>absolute</em> or <em>relative</em> paths to image files (.png, .jpg, .jpeg) on the disk.

| Parameter Name | Data Type | Default Value | Description |
|:--------------:|:---------:|:-------------:|:--------:|
| `text`  | `str` | - |  The text content to scan for image paths  |

## Return Value

The return value of the function `find_image_path`  is a string that represents the longest existing image path extracted from the input text. If no image paths exist within the text, the function returns `None`.

 
| Return Value |  Data Type  | Description |
|:------------:|:-----------:|:-----------:|
| Path  | `str`  | Longest image path found in the text or `None` if no path found |

# Function's Code

The function `find_image_path` performs text parsing and pattern recognition to find image paths within the provided text. The function uses `regular expressions (re)` module to detect all potential paths.

```python
def find_image_path(text):
    pattern = r"([A-Za-z]:\\[^:\n]*?\.(png|jpg|jpeg|PNG|JPG|JPEG))|(/[^:\n]*?\.(png|jpg|jpeg|PNG|JPG|JPEG))"
    matches = [
        match.group()
        for match in re.finditer(pattern, text)
        if match.group()
    ]
    matches += [match.replace("\\", "") for match in matches if match]
    existing_paths = [
        match for match in matches if os.path.exists(match)
    ]
    return max(existing_paths, key=len) if existing_paths else None
```

# Usage Examples

Let's consider examples of how the function `find_image_path` can be used in different scenarios.

**Example 1:**

Consider the case where a text without any image path is provided.

```python
from swarms.utils import find_image_path

text = "There are no image paths in this text"
print(find_image_path(text))  # Outputs: None
```

**Example 2:**

Consider the case where the text has multiple image paths.

```python
from swarms.utils import find_image_path

text = "Here is an image path: /home/user/image1.png. Here is another one: C:\\Users\\User\\Documents\\image2.jpeg"
print(find_image_path(text))  # Outputs: the longest image path (depends on your file system and existing files)
```

**Example 3:**

In the final example, we consider a case where the text has an image path, but the file does not exist.

```python
from swarms.utils import find_image_path

text = "Here is an image path: /home/user/non_existant.png"
print(find_image_path(text))  # Outputs: None
```

# Closing Notes

In conclusion, the `find_image_path` function is crucial in the `swarms.utils` module as it supports a key operation of identifying image paths within given input text. This allows users to automate the extraction of such data from larger documents/text. However, it's important to note the function returns only existing paths in your file system and only the longest if multiple exist.
