Version 1.5.8

  • [Fix] Fixed unnecessary SettingWithCopyWarning

  • [Old Feature] Removed simulation module

Version 1.5.7

  • [Fix] Fixed support for records without pql attribute

  • [New Feature] added example notebook of how to use IBM Watson with Celonis to api tutorials

  • [Enhancement] Improved Explanations in the root cause analysis notebook

Version 1.5.6

  • [Enhancement] PQLDebugger uses PQL engine endpoints now for query verification

  • [Enhancement] Added Studio spaces to documentation template

Version 1.5.5

Minor release, 2021-06-11

  • [Fix] fix bug where datamodels.find() did not work in case of hybrid pools in the team

  • [Fix] fix custom objects for knowledge model extensions

  • [Fix] improved performance for knowledge model extension

  • [New Feature] default activity table of a datamodel can now be accessed and set via datamodel.default_activity_table

  • [New Feature] added PQLDebugger class to debug PQL queries

  • [New Feature] Studio: Records can be added and removed from a knowledge model via add_record, remove_record methods of KnowledgeModel class.

Version 1.5.4

Minor release, 2021-05-28

  • [Fix] Make studio api compatible to studio spaces

  • [Enhancement] Chunked Data Pulling: Big queries are now chunked automatically with optimal chunk size.

  • [New Feature] Data Deduplication: ValueFuzzy now also finds turners in numbers.

  • [Fix] Data Deduplication: Fixed Overflow error in DateFuzzy comparer.

  • [Fix] PyCelonis now works in teams without process analytics.

  • [New Feature] Support for extended knowledge models

  • [New Feature] Added studio analysis to tutorial

  • [Fix] Improved datamodel foreign key handling

  • [New Feature] Simulation: Plots and descriptive statistics for process modeling and simulation now available.

  • [New Feature] Simulation: Automatic resource extraction (both pools and number of members) when user_id is provided.

  • [Enhancement] Simulation: Improve processing times estimation when start times not available (enter user_id for better estimation).

  • [Enhancement] Simulation: Improve enabling times estimation (now probabilistic).

  • [Fix] Simulation: Cap distribution fitting to the last 10000 points (for performance).

Version 1.5.3

Minor release, 2021-04-21

  • [New Feature] Added support of Studio Analysis.

  • [New Feature] Knowledge Model KPIs and Records can now be used as PQLColumns.

  • [New Feature] New Anomaly Detection demo notebook in api tutorials (Celosphere Demo).

  • [Fix] Improved Duplicate Checking Algorithm, now also possible to use custom comparers.

Version 1.5.2

Minor release, 2021-02-15

  • [New Feature] Data Deduplication: Checkout the new Invoice Deduplication Capability of PyCelonis under Duplicate Invoice Checker.

  • [Fix] Fixed compatibility issues with python 3.6.

  • [Fix] Fixed chunked data extraction.

Version 1.5.1

Minor release, 2021-02-09

  • [New Feature] Data Deduplication: Checkout the new Data Deduplication Capability of PyCelonis under Data Deduplication.

  • [New Feature] API to Celonis Studio: Find out how to leverage PyCelonis for working on the Celonis Studio. Refer to Working with the Celonis Studio to learn about the new functionality.

  • [New Feature] Chunked data export (needed for parquet exports > 1 GB)

  • [New Feature] pool.get_column_config(table): This function allows querying columns + column type of pool tables for up to 99 columns. This also infers the schema of the existing tables automatically while upsertig, replacing or appending new data into existing tables.

  • [New Feature] Celonis Root Cause Analysis: Checkout the new Celonis Root Cause Analysis under Root Cause Analysis.

Version 1.5

Major release, 2020-12-21

  • New Feature: Process Simulation Capability. Checkout the new Process Simulation Capabilities of PyCelonis under Business Process Simulation.

  • Deprecation of pool.push_table, refer to Pushing data to Data Pool to learn about the new functionality.

  • Deprecation of datamodel.push_table for IBC. Refer to Adding data to Data Model to learn about the new functionality.

  • Tutorial notebooks can now be imported via from pycelonis.notebooks import api_tutorial.

  • Changed default behaviour: Non-existing Data Pool tables cannot be appended or upserted.

Version 1.4.1

Minor release, 2020-09-30

  • Increase status query speed

  • Fix CPM4 datamodel reload issues in push_table function

  • Fix push table issues in IBC

Version 1.4.0

Major release, 2020-09-08

  • Extended CelonisCollection.find() method to improve search results.

  • Fix for inconsistencies pulling data from components (set: ignore_name_mapping=True in component.get_data_frame).

  • Change default value of ‘fuzzy’ argument to False in CelonisCollection.find() to decrease chances of wrong behaviour.

  • Backups of analyses now also contain and restore images.

  • Improve append and upsert when pushing tables into data pool.

  • Changed default behaviour of workspace.create_analysis. If name and backup_content given, new analysis will be named name, else name of backup_content.

  • Global management of readtimeout of requests now possible via: get_celonis(…, timeout=120).

  • Improved logging upon faulty api requests.

Version 1.3.3

Minor release, 2020-06-22

  • Fixed print issue

  • Backup of analyses now allowing special characters in names

  • Pycelonis now tells you if a new version is available

  • Improved Documentation

Version 1.3.2

Minor release, 2020-06-08

  • Partial Reload on datamodel tables

  • Improved Documantation

  • New function: datamodel get_data_frame (direct query to datamodel)

  • Fix various bugs

  • Querying the datamodel and the analyses in read_only mode

Version 1.2.0

Major release, 2019-12-04

  • Parse URLs to get objects directly

  • Works without ujson now

  • Make find functions fuzzy

  • Improve docs

  • Fix various bugs

Version 1.1.9

Minor release, 2019-10-18

  • Improve logging

  • Added features related to data pushing and pulling

Version 1.1.8

Minor release, 2019-10-18

  • Fix various bugs related to pushing and pulling data

  • Allow parquet files to be saved with indexes

  • Added enabling/disabling transformation functionality

  • Execute transformations and data jobs

Version 1.1.0

Minor release, 2019-08-29

  • Fix various bugs related to pushing and pulling data

  • Added option to overwrite tables from CPM4 transports with Parquet tables

  • Added option to connect read-only

  • Added many Event Collection objects

  • Run SQL queries on Data Pools

Version 1.0

Major release, 2019-08-02

  • Connect to CPM4 or IBC

  • Pull/push data

  • Interact with objects like analysis, datamodel, data pool (IBC), workspace (IBC), project (CPM4), folder (CPM4)