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Changelog

Version 1.7.4

  • [Fix] Improve error message for disabled data export

Version 1.7.3

  • [Deprecation] Deprecation of data model reload from cache
  • [Fix] Fix for celonis.packages function
  • [Deprecation] Deprecation of celonis.packages function

Version 1.7.2

  • [Deprecation] Removed Root Cause Analysis
  • [Fix] Fixed get column configuration function for tables located within schema
  • [Enhancement] Added possibility to specify authorization key type using environment variable CELONIS_KEY_TYPE
  • [Enhancement] Improved error message for uplinked data models
  • [Enhancement] Allow chunking on get_dataframe calls for analysis components

Version 1.7.1

  • [Fix] Only apply retries when total_retry > 0
  • [Fix] Fixed bug in Datamodel for download_name_mapping function
  • [Fix] Fixed bug in Analysis for rebuild_content_from_backup function
  • [Fix] Fixed knowledge model parsing for records without identifier
  • [Fix] Return table alias instead of source name for Datamodel foreign keys
  • [Fix] Fixed data push on empty pool for large data frames that require chunking
  • [Enhancement] Added info log when environment variables are used for authorization

Version 1.7.0

  • [Breaking Change] CelonisCollection.find(id_or_name: typing.Union[str, int] -> str)
  • [Enhancement] Stricter type checking
  • [Enhancement] Support for LONG VARCHAR vertica column types
  • [Enhancement] Includes error logs for failed Data Push Jobs
  • [Fix] Fixed bug in Studio package delete
  • [Fix] Fixed bug in Analysis get_data_frame

Version 1.6.1

  • [Enhancement] Support Python 3.10
  • [Enhancement] Optionally skip initial connect and permissions output
  • [Fix] Fixed bug for Pool rebuild from backup
  • [Fix] Fixed bug for deprecated 'celonis_url' on get_celonis when environment variable available

Version 1.6.0

  • [New Feature] New PyCelonis error types
  • [Enhancement] Improved logging and customer support tracking
  • [Enhancement] Updated documentation
  • [Enhancement] Changed Knowledge Model to read-only, added editable draft, changed content-loading to final endpoint to load base-model content more efficiently.
  • [Fix] Now it is possible to add the same pool table to a datamodel under different aliases using add_table_from_pool.
  • [Fix] Fixed bug with commented-out queries
  • [Fix] Fixed bug of uninitialized Celonis attribute "_threaded"
  • [Fix] Fixed bug of NoSuchProcess if (unrelated) process died during search for jupyter process
  • [Fix] Fixed knowledge model variable evaluation for nested variables

Version 1.5.14

  • [Fix] Fixed bug for robust data push/pull
  • [Fix] Fixed bug when base knowledge model is located in store

Version 1.5.13

  • [Fix] Fixed bug in workspace.datamodel attribute
  • [Fix] Fixed bug for accessing attributes of studio folder

Version 1.5.12

  • [Fix] Fixed bug in create_transformation_parameter
  • [Fix] Fixed bug in usage of repeated use of same column configuration

Version 1.5.11

  • [Fix] Improved stability of data model reloads
  • [Enhancement] Added static property for each EMS object. If object.static is set, object is not updated when accessing properties
  • [Fix] Made knowledge models static. Thus, changes are not pulled from EMS after initializing knowledge model. If this behaviour is desired set knowledge_model.static=False or call knowledge_model.reset_state() to get the newest state
  • [Fix] Fixed bug in create_extraction_parameter

Version 1.5.10

  • [Fix] fix PQL filter for cases where filter contains String 'filter'
  • [New Feature] data can now be downloaded in chunks from analysis (requires: use datamodel permissions) via .get_data_frame(...,chunked_download=True)

Version 1.5.9

  • [Enhancement] Record attributes can be selected using record.find("attribute_id")
  • [Fix] get_column_config now returns the true field length (before it was divided by 4).
  • [Fix] field length specified in column_config now is same as in pool (before it was multiplied by 4).
  • [Fix] Enable extension of knowledge model from other package

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.

Version 1.5.0

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)