small-py 1.1.3

Utility library for various uses

smallpy Utility Functions

A collection of reusable Python utility functions and classes for:

• console output control
• JSON "memory" file management
• Excel exporting
• basic image recognition and screen navigation
• progression tracking with time estimation

This module is intended to be imported and reused across automation and data-processing scripts.

---

Features

• Enable ANSI color / cursor control on Windows terminals
• Clear previously printed terminal lines
• Write Pandas DataFrames to Excel
• Persist structured data to JSON "memory"
  • check for existing entries in "memory"
• Wait for UI images to appear or disappear (via PyAutoGUI)
• Click UI elements based on image matching
• Track progess of iteration with dynamic formatting options
• Get most recentely created file in a directory

Installation

pip install small-py

Dependencies:

pip install pandas pyautogui

---

Usage

Import the functions or classes you need:

from smallpy.utils import (
  enable_virtual_terminal,
  clear_terminal,
  write_to_excel,
  Counter,
  get_most_recent_file,
)
from smallpy.memory import (
  add_to_memory,
  is_in_memory
)
from smallpy.screen.navigation import (
  BaseScreen,
  ImageLocator
)

Or more concisely:

from smallpy import callable_name

Console Utilities

Enable ANSI / Virtual Terminal Support (Windows)

Need to call if using clear_terminal() in command prompt window

enable_virtual_terminal()

Clear Previously Printed Lines

clear_terminal(lines=2)

Excel Output

Write Dataframe to Excel

import pandas as pd

df = pd.DataFrame({"a": [1, 2], "b": [3, 4]})
write_to_excel(df, "output.xlsx")

Persistent Memory (JSON)

Stored in ./memory/memory.json by default

Memory Strucutre

{"key":"entry"}

{
  "key1":{
    "id":"entry1",
    "optional_field_1":"value",
    ...
    "optional_field_n":"value"
  },
  ...
}

• "Key" identifies a shared entry structure for a particular purpose
  • All entries under the same key must share the same structure
  • A "memory" file can have multiple "keys"
• Entries must contain an "id" field
• New entries replace existing entries with the same id

Add or Update an Entry

entry = {"id": 1, "status": "done"}
add_to_memory(
  memory_key = "tasks",
  new_entry = entry
)

Check if an Entry Exists

exists = is_in_memory(
  memory_key="tasks",
  new_entry={"id": 1, "status": "done"},
  comparison_field="status"
)

Screen Automation (PyAutoGUI)

ImageLocator

ImageLocator provides a simple interface to wait for images to appear or disappear on screen.
It is useful for automating UI interactions based on visual cues.

Features

• Wait for a single image or a list of images to appear on screen
• Wait for images to disappear
• Configurable confidence threshold for image recognition
• Keeps a history of located coordinates
• Access the last known location via the last_location property
• Optional status printing with indentation

Usage

from pathlib import Path
from smallpy.screen.navigation import ImageLocator

# Initialize with a single image
locator = ImageLocator(Path("submit_button.png"))

# Initialize with multiple images
locator = ImageLocator([Path("submit_button.png"), Path("icon.png")])

# Wait for image to appear
location = locator.locate(timeout=5, confidence=0.95)

# Access the most recent location
last = locator.last_location

# Wait for images to disappear
locator.wait_for_disappear(timeout=10)

BaseScreen

BaseScreen is an abstract base class designed for screen automation.
It standardizes image management and interaction, allowing subclasses to inherit image paths and utility methods without hardcoding images.

Features

• Dynamically load or accept a dictionary of image paths (Path) for a given domain or project.
• Group images by base name, stripping numeric suffixes (e.g., button1.png, button2.png → "button" key).
• Click images with optional offsets, multiple clicks, and intervals.
• Click arbitrary screen coordinates.
• Click a series of images in order.
• Wait for specific images to appear on screen using ImageLocator.
• Subclasses inherit all image paths and helper methods without needing to redefine .images.

Usage

Using a Config Dictionary

from pathlib import Path
from config import IMAGE_DICT
from smallpy.screen.navigation import BaseScreen

class LoginScreen(BaseScreen):
    def __init__(self):
        super().__init__(IMAGE_DICT)

login_screen = LoginScreen()
paths = login_screen._get_path("username_field")

Progress Tracking

Counter Class

Tracks progress and estimates remaining time.

counter = Counter(
    count=10
)

for _ in range(10):
    # do work
    counter.display()

• Output of counter.display() will default to n/N where n is the iteration number and N is the total count
• A custom format can be passed upon initialization

counter = Counter(
    count=10,
    format = "Iteration %n/%N"
)

for _ in range(10):
    # do work
    counter.display()

• Or by changing the formatter attribute to utilize dynamic formatting with f-strings

counter = Counter(
    count=10
)

for item in ['foo','bar','baz','qux']:
    # do work
    counter.formatter = f"Iteration %n/%N - {item}"
    counter.display()

Format tokens:

• %n — iteration number
• %N — total count
• %T — estimated completion time (e.g. "02:04 PM")
• %t — raw seconds remaining as float
• %f — time remaining split by unit (e.g. "2h 4m 8s")

File Utilities

Get Most Recent File in a Directory

latest = get_most_recent_file("downloads")

Returns the path to the most recently created file, or "No files found".

Notes & Limitations

• Screen automation relies on image matching and screen resolution
• JSON memory assumes consistent dictionary structure per key
• Designed for scripting and automation, not as a full framework

License

MIT License (or update as appropriate)