A simple capture utility for logging variables in Python
Project description
Pyture
A lightweight, developer-friendly tool for capturing runtime variables and exporting them in structured formats.
Why Pyture?
During development and debugging, a common challenge is effectively tracking the state of variables as your code executes. Traditional methods like numerous print() statements can clutter your code, and full-fledged debuggers can sometimes be too heavy for a quick inspection. Pyture offers a simple, non-intrusive solution.
It's designed to seamlessly integrate into your workflow, allowing you to capture key data points at runtime. This data can then be saved to a structured format like JSON or CSV, providing a clean and organized snapshot of your application's state at specific moments for later analysis or reporting. It focuses on the developer's need for a straightforward way to log and export data without interrupting the program's flow.
Features
-
Runtime Variable Capture: Easily capture variable names and their values using a simple
capture(**kwargs)method. -
Flexible Save Formats: Save captured data to JSON files with four distinct modes (
raw,timestamp,session,full) to control the level of metadata. -
Dedicated CSV Export: A separate
.export_csv()method provides a flattened, spreadsheet-friendly output. -
Session Management: Each run of your script is assigned a unique session ID and start time for easy grouping and tracking of data.
-
Development Mode: An optional "dev" mode provides real-time print feedback during capture and save operations.
-
Data Management: Load previous data from files or clear your current session's captures.
Installation
Install Pyture using pip:
pip install pyture
Usage & Code Examples
Pyture is managed through the Pyture class. Here are examples of its core functionality.
Basic Capture & Save
This example demonstrates how to capture data and save it in the default "full" mode.
from pyture import Pyture
# Initialize the capture manager
cap = Pyture()
# Capture some variables
user_id = 101
request_path = '/api/data'
cap.capture(user_id=user_id, request_path=request_path)
# Capture more data later in the code
response_code = 200
status = 'success'
cap.capture(response_code=response_code, status=status)
# Save the captured data to a JSON file (default mode is 'full')
cap.save('full_output.json')
Saving with Different Modes
The .save() method allows you to specify a mode for the output JSON.
from pyture import Pyture
cap = Pyture()
cap.capture(username='john_doe', role='admin')
cap.capture(is_authenticated=True)
# Save only the captured data (no metadata)
cap.save('raw_output.json', mode='raw')
# Save with only the timestamp
cap.save('timestamp_output.json', mode='timestamp')
# Save with only the session ID
cap.save('session_output.json', mode='session')
# Save with all metadata (timestamp, session_id, and data)
cap.save('full_output.json', mode='full')
Exporting to CSV
Use the .export_csv() method to save your data in a flattened CSV format. This is especially useful for analysis in spreadsheet applications.
from pyture import Pyture
cap = Pyture()
cap.capture(event='user_login', user_id=123)
cap.capture(event='purchase', product_id=987, amount=45.99)
cap.export_csv('capture_log.csv')
API Reference
class Pyture(mode="normal")
Initializes the Pyture object.
-
mode(str): The operational mode of the manager.-
"normal"(default): Operates silently without printing messages. -
"dev": Prints status messages to the console for each capture, save, and clear operation.
-
Pyture.capture(**kwargs)
Captures a set of variables from the current runtime state. This method accepts any number of keyword arguments, where the key is the variable name and the value is its data.
**kwargs: Key-value pairs representing the variable name and its data.
Pyture.save(filename, mode="full")
Saves the captured data to a JSON file.
-
filename(str): The name of the file to save to (e.g.,'output.json'). -
mode(str): The format of the output.-
"raw": Saves only the captured data. -
"timestamp": Saves data with its capture timestamp. -
"session": Saves data with its session ID. -
"full"(default): Saves data with all available metadata (timestamp and session ID).
-
Pyture.export_csv(filename)
Exports the captured data to a CSV file. The output is flattened, with metadata (timestamp, session_id) and all captured variable keys as columns.
filename(str): The name of the file to export to (e.g.,'output.csv').
Pyture.load(filename)
Loads captured data from a JSON file into the manager's buffer.
filename(str): The path to the file to load.
Pyture.clear()
Resets the internal data store, clearing all captured data from the current session.
Pyture.get_session_info()
Returns a dictionary containing information about the current session, including the unique session_id, started_at timestamp, and the number of captures.
Example Output
JSON Preview
This is an example of a JSON file saved using mode='full'.
[
{
"timestamp": "2025-08-04T17:37:54.000Z",
"session_id": "a1b2c3d4-e5f6-g7h8-i9j0-k1l2m3n4o5p6",
"data": {
"user_id": 101,
"request_path": "/api/data"
}
},
{
"timestamp": "2025-08-04T17:37:54.001Z",
"session_id": "a1b2c3d4-e5f6-g7h8-i9j0-k1l2m3n4o5p6",
"data": {
"response_code": 200,
"status": "success"
}
}
]
CSV Preview
This is an example of a CSV file exported using .export_csv(). Note how all keys are flattened into columns.
timestamp,session_id,amount,event,product_id,user_id
2025-08-04T17:37:54.000Z,a1b2c3d4-e5f6-g7h8-i9j0-k1l2m3n4o5p6,,user_login,,123
2025-08-04T17:37:54.001Z,a1b2c3d4-e5f6-g7h8-i9j0-k1l2m3n4o5p6,45.99,purchase,987,
Contributing
We welcome contributions to Pyture! To contribute, please follow these steps:
-
Fork the repository.
-
Create a new branch for your feature or bug fix.
-
Implement your changes and ensure tests pass.
-
Submit a pull request with a clear description of your changes.
License
Pyture is released under the MIT License. For more information, see the LICENSE file.
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