📸 Implement Unit Tests for `enter_photo ` function from `main.py`

[Vladyslav Bilyk]

To ensure the robustness and correctness of the image handling functionality in the project, it's essential to create unit tests that thoroughly validate its behavior. 🧪🖼️

Expected Behavior:
The unit tests should verify that the image handling function correctly processes incoming photos, downloads them, prepares the data, and sends the image to the specified channel with the appropriate caption.
Acceptance Criteria 🎯:

• Unit tests for simulating incoming photo messages are implemented.
• Unit tests for image download and data preparation are functional.
• Tests for caption generation meet expectations.
• Unit tests for sending images to specified channels are working.
• Tests cover different image formats.
• All tests pass successfully 🟢.

Steps for Implementation 🔨:
Set Up Testing Environment: Ensure that you have a test environment that closely mimics the production environment.

Test Incoming Messages: Write tests to simulate incoming photo messages.

def test_incoming_messages():
    # your code here

Test Photo Download and Data Preparation: Create tests that ensure photos are downloaded and data is prepared correctly.

def test_photo_download():
    # your code here

Test Caption Generation: Validate that captions are generated in the expected format.

def test_caption_generation():
    # your code here

Test Image Sending: Test whether the image is sent to the specified channel.

def test_image_sending():
    # your code here

Test Different Formats: Include tests for different image formats.

def test_image_formats():
    # your code here

Run and Validate Tests: Run the tests and ensure they all pass. If any fail, debug and rerun the tests.

Additional Notes 📚:
Include logging within tests to capture important debugging information.
Consult the documentation for any external libraries you're using for image processing.

You can do one test at a time, no problem!