Display, filter and search log messages in your terminal

Overview

Textualog

Display, filter and search logging messages in the terminal.

screenshot

This project is powered by rich and textual.

Some of the ideas and code in this project are based on:

Installation

The easiest way to install the package is by running the pip command in the Python virtual environment of your project:

$ python -m pip install [--upgrade] textualog

Usage

The textualog app should have been installed in your environment, then run the following command:

$ textualog --log <path to the log file>

In the examples directory of this project, you can find an example log file to inspect and play with.

The main view is divided in three panels, (1) a Records panel that displays all the logging records in a colored view, (2) a Record Info panel that displays more details about the selected logging message (a message can be selected by a mouse click), and (3) a Levels panel that displays the standard logging levels. Logging levels can be switched on or off with a key press, d=debug, i=info, w=warning, e=error, c=critical. When you click inside the Record Info panel, the main view will change in a Record Details view that displays all information associated with the selected logging message. This view is mainly used when the logging message has extra multi-line information attached, and depending on the amount of information, this view is scrollable. When the selected logging message contains extra information, the Record Info panel will have an asterisk in the title. Use the Escape key to return to the main view.

The app can be terminated with the 'q' key or by pressing CTRL-C. If you need a little help on the keyboard shortcuts, press the '?' key to present the Info Help panel on the right side of the terminal. Also here use the Escape key to hide the help panel again.

Pressing the 'n' key will slide in a Namespaces panel on the left side of the Terminal. This panel is currently not functional. The idea is to allow the user to filter the logging messages by selecting one or more namespaces.

Log file formats

The current support is for a key-value type of log file. The log line shall have a fixed format, which is what I currently use in my main other projects. The following key=value pairs shall be there in the given order:

  • level=<logging level>
  • ts=<'%Y-%m-%dT%H:%M:%S,%f'>
  • process=<process name>
  • process_id=<PID>
  • caller=<calling function:lineno>
  • msg=<logging message>

In the future other formats can be supported by implementing a plugin class. Planned formats are the JSON format, ...

Roadmap

  • Display message details including extra lines that contain further information like e.g. traceback info.
  • Implement search functionality to search for strings or regular expressions and position the screen at the first match
  • Start work on filtering log messages based on their namespace
Owner
Rik Huygen
Self-educated Pythonista. Seriously trying to write clean and Pythonic code.
Rik Huygen
Stochastic gradient descent with model building

Stochastic Model Building (SMB) This repository includes a new fast and robust stochastic optimization algorithm for training deep learning models. Th

S. Ilker Birbil 22 Jan 19, 2022
Fast convergence of detr with spatially modulated co-attention

Fast convergence of detr with spatially modulated co-attention Usage There are no extra compiled components in SMCA DETR and package dependencies are

peng gao 135 Dec 07, 2022
An pytorch implementation of Masked Autoencoders Are Scalable Vision Learners

An pytorch implementation of Masked Autoencoders Are Scalable Vision Learners This is a coarse version for MAE, only make the pretrain model, the fine

FlyEgle 214 Dec 29, 2022
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.

TransMVSNet This repository contains the official implementation of the paper: "TransMVSNet: Global Context-aware Multi-view Stereo Network with Trans

旷视研究院 3D 组 155 Dec 29, 2022
Infrastructure as Code (IaC) for a self-hosted version of Gnosis Safe on AWS

Welcome to Yearn Gnosis Safe! Setting up your local environment Infrastructure Deploying Gnosis Safe Prerequisites 1. Create infrastructure for secret

Numan 16 Jul 18, 2022
[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

TransFuser This repository contains the code for the CVPR 2021 paper Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. If you find our

695 Jan 05, 2023
PyTorch code for the paper "Complementarity is the King: Multi-modal and Multi-grained Hierarchical Semantic Enhancement Network for Cross-modal Retrieval".

Complementarity is the King: Multi-modal and Multi-grained Hierarchical Semantic Enhancement Network for Cross-modal Retrieval (M2HSE) PyTorch code fo

Xinlei-Pei 6 Dec 23, 2022
Galactic and gravitational dynamics in Python

Gala is a Python package for Galactic and gravitational dynamics. Documentation The documentation for Gala is hosted on Read the docs. Installation an

Adrian Price-Whelan 101 Dec 22, 2022
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily Abstract Graph Neural Networks (GNNs) are widely used on a

10 Dec 20, 2022
Physical Anomalous Trajectory or Motion (PHANTOM) Dataset

Physical Anomalous Trajectory or Motion (PHANTOM) Dataset Description This dataset contains the six different classes as described in our paper[]. The

0 Dec 16, 2021
EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks

EncT5 (Unofficial) Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks About Finetune T5 model for classification & r

Jangwon Park 34 Jan 01, 2023
Performant, differentiable reinforcement learning

deluca Performant, differentiable reinforcement learning Notes This is pre-alpha software and is undergoing a number of core changes. Updates to follo

Google 114 Dec 27, 2022
Active window border replacement for window managers.

xborder Active window border replacement for window managers. Usage git clone https://github.com/deter0/xborder cd xborder chmod +x xborders ./xborder

deter 250 Dec 30, 2022
PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

Smoothed Mutual Information ``Lower Bound'' Estimator PyTorch implementation for the ICLR 2020 paper Understanding the Limitations of Variational Mutu

50 Nov 09, 2022
Angular & Electron desktop UI framework. Angular components for native looking and behaving macOS desktop UI (Electron/Web)

Angular Desktop UI This is a collection for native desktop like user interface components in Angular, especially useful for Electron apps. It starts w

Marc J. Schmidt 49 Dec 22, 2022
Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]

CVPR 2021 | Activate or Not: Learning Customized Activation. This repository contains the official Pytorch implementation of the paper Activate or Not

184 Dec 27, 2022
Inference code for "StylePeople: A Generative Model of Fullbody Human Avatars" paper. This code is for the part of the paper describing video-based avatars.

NeuralTextures This is repository with inference code for paper "StylePeople: A Generative Model of Fullbody Human Avatars" (CVPR21). This code is for

Visual Understanding Lab @ Samsung AI Center Moscow 18 Oct 06, 2022
A python comtrade load library accelerated by go

Comtrade-GRPC Code for python used is mainly from dparrini/python-comtrade. Just patch the code in BinaryDatReader.parse for parsing a little more eff

Bo 1 Dec 27, 2021
A standard framework for modelling Deep Learning Models for tabular data

PyTorch Tabular aims to make Deep Learning with Tabular data easy and accessible to real-world cases and research alike.

801 Jan 08, 2023
Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022

PyCRE Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022 Dependencies This project is developed

<a href=[email protected]"> 7 May 06, 2022