Minimalist Error collection Service compatible with Rollbar clients. Sentry or Rollbar alternative.

Overview

Minimalist Error collection Service

Features

  • Compatible with any Rollbar client(see https://docs.rollbar.com/docs). Just change the endpoint URL to your errorpush URL.
  • Inserts all error logs into a single PostgreSQL table.

Why use this over Sentry/Rollbar?

  • Instant setup
  • Free
  • No rate limiting
  • When you don't need all the bells and whistles: just want to log all errors into a database.
  • Flexibility - use whatever you want to query the PostgresQL table for errors

Running

errorpush requires docker

docker run -p 5000:5000 -e ACCESS_TOKEN=<your_access_token_of_choice> -e POSTGRES_URI=postgres://username:[email protected]/yourdb hauxir/errorpush:latest

That's it, just set up a reverse proxy and point your rollbar client to your server.

Example Query

SELECT error_id, Max(( ( BODY ->> 'trace' ) :: jsonb ->> 'exception' ) :: jsonb ->> 'class') AS EXCEPTION, Max(( ( BODY ->> 'message' ) :: jsonb ->> 'body' )) AS message, Count(*), Max(timestamp) AS last_seen FROM   errors GROUP  BY error_id ORDER  BY last_seen DESC;
             error_id             | exception |   message    | count |         last_seen          
----------------------------------+-----------+--------------+-------+----------------------------
 8cca0a18f56269b5a5243f7cc2906f79 | NameError |              |     4 | 2021-09-08 18:34:05.751548
 b6012c1be2bef37f570077f2ce2e908b |           |              |     2 | 2021-09-08 18:15:09.944348
 5acf76ad5f327d811ca9282b5d5a933a |           | Hello world! |     3 | 2021-09-08 18:15:09.944308
 794ef3b916db810d9162ad54aff32a14 |           | HEY          |     1 | 2021-09-08 18:12:19.705926
(4 rows)

Metabase

You can use metabase to visualize the data.

Screenshot 2021-09-11 at 00 14 58

PostgreSQL view for the above image:

create view error_report as 
select 
  error_id, 
  max(
    concat(
      coalesce(
        (
          (body ->> 'trace'):: jsonb ->> 'exception'
        ):: jsonb ->> 'class', 
        'Error'
      ), 
      ': ', 
      (
        (body ->> 'trace'):: jsonb ->> 'exception'
      ):: jsonb ->> 'message', 
      (body ->> 'message'):: jsonb ->> 'body'
    )
  ) as error, 
  count(*) as occurences, 
  max(timestamp) as last_seen, 
  max(
    array_to_string(
      array(
        select 
          concat(
            el ->> 'filename', ':', el ->> 'lineno'
          ) 
        from 
          jsonb_array_elements(
            (
              (body ->> 'trace'):: jsonb ->> 'frames'
            ):: jsonb
          ) as el 
        limit 
          4
      ), 
      ', '
    )
  ) as trace, 
  max(environment) as environment, 
  max(custom ->> 'revision') as revision 
from 
  errors 
group by 
  error_id 
order by 
  last_seen desc;
Owner
Haukur Rósinkranz
Haukur Rósinkranz
Code base for NeurIPS 2021 publication titled Kernel Functional Optimisation (KFO)

KernelFunctionalOptimisation Code base for NeurIPS 2021 publication titled Kernel Functional Optimisation (KFO) We have conducted all our experiments

2 Jun 29, 2022
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

Introduction This repository contains the modified caffe library and network architectures for our paper "Automated Melanoma Recognition in Dermoscopy

Lequan Yu 47 Nov 24, 2022
Complementary Patch for Weakly Supervised Semantic Segmentation, ICCV21 (poster)

CPN (ICCV2021) This is an implementation of Complementary Patch for Weakly Supervised Semantic Segmentation, which is accepted by ICCV2021 poster. Thi

Ferenas 20 Dec 12, 2022
CSD: Consistency-based Semi-supervised learning for object Detection

CSD: Consistency-based Semi-supervised learning for object Detection (NeurIPS 2019) By Jisoo Jeong, Seungeui Lee, Jee-soo Kim, Nojun Kwak Installation

80 Dec 15, 2022
Best practices for segmentation of the corporate network of any company

Best-practice-for-network-segmentation What is this? This project was created to publish the best practices for segmentation of the corporate network

2k Jan 07, 2023
Official Implementation for HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing Yuval Alaluf*, Omer Tov*, Ron Mokady, Rinon Gal, Amit H. Bermano *Denotes equ

885 Jan 06, 2023
Code for our TKDE paper "Understanding WeChat User Preferences and “Wow” Diffusion"

wechat-wow-analysis Understanding WeChat User Preferences and “Wow” Diffusion. Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang,

18 Sep 16, 2022
DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021)

DPT This repo is the official implementation of DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021). We provide code and model

CASIA-IVA-Lab 111 Dec 21, 2022
A new test set for ImageNet

ImageNetV2 The ImageNetV2 dataset contains new test data for the ImageNet benchmark. This repository provides associated code for assembling and worki

186 Dec 18, 2022
code for `Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation`

Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation (CVPR 2021) Introduction PBR is a conceptually simple yet effective

H.Chen 143 Jan 05, 2023
DTCN IJCAI - Sequential prediction learning framework and algorithm

DTCN This is the implementation of our paper "Sequential Prediction of Social Me

Bobby 2 Jan 24, 2022
PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data

Use PyMove and go much further Information Package Status License Python Version Platforms Build Status PyPi version PyPi Downloads Conda version Cond

Insight Data Science Lab 64 Nov 15, 2022
SPEAR: Semi suPErvised dAta progRamming

Semi-Supervised Data Programming for Data Efficient Machine Learning SPEAR is a library for data programming with semi-supervision. The package implem

decile-team 91 Dec 06, 2022
CVPR 2021 Official Pytorch Code for UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training

UC2 UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu,

Mingyang Zhou 28 Dec 30, 2022
DeepLab-ResNet rebuilt in TensorFlow

DeepLab-ResNet-TensorFlow This is an (re-)implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation on the PASCAL VOC dataset. Fr

Vladimir 1.2k Nov 04, 2022
This repository contains demos I made with the Transformers library by HuggingFace.

Transformers-Tutorials Hi there! This repository contains demos I made with the Transformers library by 🤗 HuggingFace. Currently, all of them are imp

3.5k Jan 01, 2023
Lorien: A Unified Infrastructure for Efficient Deep Learning Workloads Delivery

Lorien: A Unified Infrastructure for Efficient Deep Learning Workloads Delivery Lorien is an infrastructure to massively explore/benchmark the best sc

Amazon Web Services - Labs 45 Dec 12, 2022
House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects

House-GAN++ Code and instructions for our paper: House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent

122 Dec 28, 2022
This repository contains the implementation of Deep Detail Enhancment for Any Garment proposed in Eurographics 2021

Deep-Detail-Enhancement-for-Any-Garment Introduction This repository contains the implementation of Deep Detail Enhancment for Any Garment proposed in

40 Dec 13, 2022
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

ColossalAI An integrated large-scale model training system with efficient parallelization techniques. arXiv: Colossal-AI: A Unified Deep Learning Syst

HPC-AI Tech 7.9k Jan 08, 2023