Changelog

[v3.3.1.dev0]

Added

[CLI] Allow to pass a name in the "lithops runtime list" command
[Ceph] Added extra region parameter to Ceph backend

Changed

[Setup] Removed unused 'lxml', 'docker' and 'python-dateutil' packages from the setup.py
[Core] Detached progress bar from INFO logs
[Future] Exposed 'wait_dur_sec' and 'retries' in future.wait() and future.get_result() methods
[Localhost] Upgraded localhost backend v2 and set it as the default localhost backend
[Localhost] Set monitoring_interval to 0.1 in the localhost storage backend

Fixed

[AWS Lambda] Fixed wrong AWS Lambda delete runtime_name match semantics
[Worker] Fixed potential issue that can appear during 'func_obj' loading from cache
[Monitor] Fixed potential 'keyerror' exceptions
[Swift] Fixed OpenStack Swift parameters and authentication by adding domain information
[AWS Batch] Fixed missing ecsTaskJobRole

[v3.3.0]

Added

[Core] Added a mechanism to automatically retry failed tasks
[Azure Containers] Automatically login to the container registry if the credentials are in the config

Changed

[AWS] Eliminated the need for access and secret keys in the configuration
[Tests] Moved tests from unittest to pytest

Fixed

[AWS Lambda] Fixed runtime deletion with "lithops runtime delete"
[Localhost] Fixed issue with the job manager
[Serializer] Fix serialization bug which triggers side effects on dynamic attributes
[Worker] Removed "distutils" lib imports as it is deprecated in python 3.12
[Serverless] Allow to build container runtimes with the MacBook Mx chip
[K8s] Fixed task granularity calculation and memory units issue (RabbitMQ version)
[AWS Lambda] Fixed AWS Lambda function Name for SSO users
[AWS] Fixed generated user-key for SSO users
[Azure VMs] Fixed worker creation and communication

[v3.2.0]

Added

[Lithops] Added support for Python 3.12
[CLI] Added "--include" parameter in "lithops image build" to allow users upload local files to the VM image

Changed

[Standalone] Use redis in the master VM to store all the relevant data about jobs and workers
[Standalone] Use redis to store the work queues
[Standalone] Improved resiliency and worker granularity
[CLI] Show the timestamp in the local timezone format on "lithops job list"
[CLI] Show worker creation timestamp and time-to-dismantle on "lithops worker list"

Fixed

[SSH Cli] Fixed minor error with the "err" variable
[Cli] Fixed job status on "lithops job list" for standalone backends
[Standalone] Fixed issue in the "lithops image build" that appears when the vpc is already created
[Future] Fixed issue with missing 'worker_end_tstamp' variable

[v3.1.2]

Added

[Plots] Allow to set the figure size of the plots
[Stats] Added new CPU, Memory and Network statistics in the function results
[IBM VPC] Added a new parameter to enable/disable resource existence check in the platform

Changed

[Config] Renamed 'customized_runtime' to 'runtime_include_function'
[IBM VPC] Increased the total number of available IPs in the private network
[Standalone] Do not stop the VM immediately after a job in the Consume mode

Fixed

[Standalone] Fixed issue that appears when the invocation payload is too big
[Invoker] Fixed "runtime_include_function" function/modules path
[AWS EC2] Reset the public IP address of the master VM on stop

[v3.1.1]

Added

[k8s] Added a new way of invoking functions using a RabbitMQ work queue
[IBM VPC] Added "zone" config parameter
[IBM Code Engine] Get and print an error message in case of container execution failure

Changed

[OpenWhisk] Updated default runtimes

Fixed

[Standalone] Fixed issue with a wrong value of "chunksize"
[IBM Code Engine] Fixed missing parameter on clean
[Executor] Fixed potential deadlock in wait() and get_result() when an exception is produced in a function activation

[v3.1.0]

Added

[Cli] Added new 'lithops image delete' command for standalone backends
[Cli] Added new 'lithops job list' command for standalone backends
[Cli] Added new 'lithops worker list' command for standalone backends
[AWS EC2] Added delete_image() method for deleting VM images through the cli
[IBM VPC] Added delete_image() method for deleting VM images through the cli
[localhost] New localhost backend v2 to maximize resource utilization when multiple maps are executed from the same FunctionExecutor
[Standalone] Automatically retrieve the CPU_COUNT from the VM in case worker_processes is not set in config
[Standalone] Keep track of the worker and job status
[Storage] Include "Config" parameter to download_file() and upload_file() methods for boto3 related backends
[Cli] Include 'worker name' in the 'lithops runtime list' cmd
[AWS Lambda] Created 'namespace' config key to virtually separate worker deployments

Changed

[Standalone] Changed default mode of execution from 'consume' to 'reuse'
[Joblib] Updated the joblib backend to make it compatible with new versions of joblib
[Joblib] Spawn only one function when 'prefer' is set to 'threads'
[AWS EC2] Changed default image name from "lithops-worker-default" to "lithops-ubuntu-jammy-22.04-amd64-server"
[IBM VPC] Changed default image name from "lithops-worker-default" to "lithops-ubuntu-22-04-3-minimal-amd64-1"
[Serializer] Improve serializer performance when include_modules is set in config
[SSH Client] Do not raise LithopsValidationError on Authentication failed
[AWS Lambda] Renamed function name to "lithops-worker-xxxx"

Fixed

[Job] Fixed max data size in the invocation payload
[Multiprocessing] Fixed cpu_count
[Standalone] Start new workers when the VM instance type changes (in reuse mode)
[GCP Functions] Fixed issue with "function_url" variable
[Standalone] Fixed multiple runtime usage at the same time in master VM
[localhost] Get the correct docker/podman path for jobs that run in a container
[k8s] Limit the size of the "user" label as the maximum allowed is 63 chars
[Joblib] Fix shared objects utility when multiple maps run from the same executor
[Azure VMs] Fix wrong exception when trying to connect to the master VM for the first time
[Partitioner] Fix partitioner

[v3.0.1]

New

[OCI Functions] Added new 'Oracle Cloud Functions' serverless backend
[OCI Object Storage] Added new 'Oracle Cloud Object storage' storage backend

Added

[Kubernetes] Added Redis server in master pod for shared data between workers
[Kubernetes] Allow to set "context" and "namespace" in lithops config

Changed

[CodeEngine] Create the CE project only when necessary instead of creating it always
[IBM CF] Create the CF namespace only when necessary instead of creating it always

Fixed

[Executor] Fixed kwargs mapping in ServerlessExecutor and StandaloneExecutor
[Serializer] Fixed issue in serializer when "include_modules" config var is set
[CodeEngine] Fixed exception handling

[v3.0.0]

New

[Azure Virtual Machines] Added new 'Azure Virtual Machines' standalone backend

Added

[Serverless] Added support for python 3.10 and 3.11 runtimes
[Executor] Allow to set all the compute backend params programmatically in the FunctionExecutor()
[AWS EC2] Allow to automatically create the VPC and all the necessary resources
[IBM VPC & AWS EC2] General fixes and Improvements
[Executor] Allow to pass the config file location in the FunctionExecutor()
[Storage] Automatically create the storage bucket if not provided in the config
[IBM] Allow to set "region" under "ibm" section
[AWS] Allow to set "region" under "aws" section
[Cli] Added new 'lithops image build' command for standalone backends
[Cli] Added new 'lithops image list' command for standalone backends
[IBM VPC] Added build_image() method for automatically building VM images
[IBM VPC] Added list_image() method for listing the available VM images
[AWS EC2] Added build_image() method for automatically building VM images
[AWS EC2] Added list_image() method for listing the available VM images
[Azure VMS] Added list_image() method for listing the available VM images
[IBM CF] Automatically create a CF namespace if not provided in config
[IBM VPC] Added Madrid (Spain) region
[Code Engine] Automatically create a new project if not provided in config

Changed

[Azure] Changed 'location' config parameter to 'region' for compatibility
[Aliyun] Changed 'endpoint' config parameter to 'region' for compatibility
[AWS EC2] Reduced number of mandatory parameters
[AWS] Allow 'region' config parameter instead of 'region_name' for compatibility
[IBM CF] Cloud-foundry namespaces have been deprecated in IBM Cloud. From now all the users must use an IAM-based namespace
[IBM COS] Changed 'access_key' config parameter to 'access_key_id' for compatibility
[IBM COS] Changed 'secret_key' config parameter to 'secret_access_key' for compatibility
[IBM] Improved token manager
[Core] Job creation now checks that each element in 'iterdata' is smaller than 8 KB
[MapReduce] Make 'results' variable name not mandatory in the reduce function signature
[CLI] Renamed 'lithops test' command to 'lithops hello'
[CLI] Renamed 'lithops verify' command to 'lithops test'

Fixed

[IBM VPC & AWS EC2] Make sure only VMs from the given VPC are removed
[IBM VPC] Reuse floating IPs for public gateways
[Serializer] Prevent analyzing the same module multiple times
[SSH Cli] Fix issue with RSA keys
[Tests] Fix broken links of testing files
[Azure Container APPs] Make sure the lithops worker app is deployed
[AWS Lambda] Fixed error with urllib3. Pin urllib3 to <2 as for now botocore does not support urllib3 2.0
[Multiprocessing] Check redis connection before starting to submit jobs
[Redis] Fixed redis backend exception regarding storage_bucket

[v2.9.0]

Added

[AWS S3] Allow to use a public bucket without credentials
[IBM] Automatically login to the container registry if the credentials are present in config
[IBM] Force --platform=linux/amd64 in the "lithops runtime build" command
[k8s] Added boto3 as a dependency of the default runtime
[IBM VPC] Automatically get the ubuntu image ID
[IBM VPC] Allowed to reuse floating IPs
[IBM VPC] Automatically create resources if not provided in config
[IBM VPC] Added 'region' config parameter
[Partitioner] Allow wildcards in the object reference

Changed

[IBM VPC] Reduced the number of mandatory config parameters
[IBM VPC] Renamed profile_name config param to worker_profile_name
[IBM VPC] Renamed ip_address config param to floating_ip

Fixed

[AWS EC2] Fix spot instance price
[Cli] Fix wrong config in the "lithops runtime update" command
[Standalone] Fix missing private IP address
[VM] Fix VM standalone backend

[v2.8.0]

Added

[Config] Allow to store the config file in "/etc/lithops/config"
[CLI] Allow to specify 'memory' and 'version' in the 'lithops runtime delete' command
[GCP Cloudrun] Allow setting min_workers to the autoscaler
[GCP Functions] Added https trigger
[Function Executor] Added additional arguments to pass to the reduce function in map_reduce()
[AWS] Added session token as optional

Changed

[Core] Include function result in the status.json file if it is < 8KB
[Core] Include python version in the lithops worker name

Fixed

[Serverless] Allow to delete runtimes from different lithops versions
[AWS Batch] Fixed list_runtimes() method
[localhost] Fixed localhost storage backend head method

[v2.7.1]

Added

[Google Cloud Functions] Added Python 3.10 runtime compatibility
[Core] Allow to automatically transfer .so (cythonized .py) files if referenced in the code

Changed

[Core] Improved cython coverage
[IBM VPC] Make 'image_id' mandatory in config
[IBM VPC] Infer zone_name from subnet
[Knative] Reduced service name length
[AWS EC2] Updated ec2 default ubuntu image to 22.04

Fixed

[IBM VPC] Create floating IP using the specified resource group
[IBM VPC] Attach floating IP to the subnet
[Multiprocessing] Fix 'cpu_count' function from multiprocessing API
[Code Engine] Add CE conflict exception to retriables
[Core] Show logs from module_dependency.py
[GCP Functions] Fix runtime_build command
[Infinispan] Fix Infinispan storage backend
[Core] Detect a Class if passed as a lithops input function

[v2.7.0]

New

[Azure Container APPs] Added new 'Azure Container APPs' serverless backend

Added

[Azure Container APPs] Added new lithops backend for Azure Container APPs
[Knative] Added Kourier as the networking layer
[AWS Lambda] Added "env_vars" and "ephemeral_storage" parameters for lambda runtime config
[Azure Functions] Allow to build a runtime from a custom requirements.txt file
[K8s] Append 'docker_server' as a prefix of the runtime
[Code Engine] Append 'docker_server' as a prefix of the runtime
[Knative] Append 'docker_server' as a prefix of the runtime
[Google Cloud Storage] Add missing logic in gcp_storage
[Google Cloud] project_name and service_account are no longer required in config
[Google Cloud] Allow to use GOOGLE_APPLICATION_CREDENTIALS for service_credentials
[Google Cloud Run] Allow CPU values <1, 6 and 8
[Alibaba Cloud Functions] Added Python 3.9 runtime compatibility
[Alibaba Cloud Functions] Allow to build a runtime from a custom requirements.txt file
[Core] Add support for building container runtimes with podman
[Core] Delete only runtimes from the specified backend on 'lithops clean'
[Executor] Added obj_newline parameter in map() and map_reduce() methods
[Infinispan] Support DIGEST authentication by default with the Infinispan REST backend

Changed

[Core] Load docker command only when needed instead of loading it always
[Core] Load runtime data only on invocation
[Google Cloud] project_name and service_account config parameters are no longer required
[Multiprocessing] Improved remote logging
[Monitor] Reduce debug log verbosity, status is printed every 30s or when a future changes state
[AWS Batch] Increased resource limits
[Executor] Changed 'reducer_one_per_object' parameter to 'obj_reduce_by_key'

Fixed

[Google Cloud Functions] Fixed errors when deploying a function
[Core] Make sure all temp files generated during build_runtime() are cleaned
[Core] Fix internal partitioner
[knative] AttributeError: 'KnativeServingBackend' object has no attribute 'coreV1Api'
[knative] Fixed service deployment
[Alibaba Cloud Functions] Fixed errors when deploying a function
[Azure Functions] Fixed errors when deploying a function
[Azure Functions] Fixed issue that was preventing building runtimes from a non-Linux system
[Code Engine] Fix runtime_timeout not being applied

[v2.6.0]

Added

[Code Engine] Improved except-retry logic
[IBM COS] Enables separate IAM authorization for COS and Compute backends

[v2.5.9]

Added

[Core] Add support for Python 3.10
[Storage] Added download_file() and upload_file() methods to Storage API to enable multipart upload/download
[AWS Lambda] Added 'architecture' option in config to allow deploy arm64 runtimes
[AWS Batch] Added 'service_role' config parameter
[IBM VPC] add gpu support for ibm_vpc backend
[Standalone] Added docker login to standalone setup script
[AWS EC2] Automatically get the default Ubuntu 20.04 AMI when not present in config
[Code Engine] Added retry logic on connection exception

Changed

[CLI] Renamed "lithops runtime create" command to "lithops runtime deploy"

Fixed

[AWS Lambda] Fixed "layer builder" function creation necessary to deploy the default runtime
[AWS Lambda] Allow to create container runtimes whose names contain '.', '/' and '_'.
[AWS Lambda] List only the runtimes deployed by the current user
[AWS Lambda] Do not raise an exception if the runtime is already deployed
[Standalone] Fix cloudinit initialization script
[Future] Fix host_status_query_count stat
[Google Cloud Run] Fixed wrong variable name 'runtime_cpus'
[Google Cloud] Changed docs for Google cloud backend regarding to id instead of name

[v2.5.8]

Added

[Standalone] Raise an exception when the ssh key is not found
[Standalone] Raise an exception when the ssh key is not valid for login to the mater VM

Fixed

[IBM VPC] Fixed get_ssh_client() method that in certain circumstances was not working properly

[v2.5.7]

Added

[AWS Batch] Added AWS Batch backend
[Standalone] Allow to start workers using a public key instead of using a password
[Standalone] Added different levels of worker verification
[Infinispan] Added new Infinispan Hot Rod storage backend

Fixed

[Core] Fixed map_reduce jobs
[Standalone] Fixed internal executions in standalone
[IBM VPC] Fixed issue that prevented creating workers on create|reuse modes
[IBM VPC] Fixed issue with ip_address in consume mode
[AWS Lambda] Allow to delete functions from other lithops versions through 'lithops runtime delete'
[Core] Fixed FunctionExecutor.plot() when a list of futures is passed to the method
[Infinispan] Fixes in Infinispan storage backend

[v2.5.6]

Added

[AWS_EC2] Added AWS EC2 Standalone backend
[AWS_EC2] Allow to start workers using Spot instances in AWS EC2 Standalone backend
[Standalone] Added the logic to create the missing delta of workers in reuse mode
[Standalone] Cancel running job tasks on ctrl-c
[Standalone] New logic to verify that the master VM is correctly setup
[Standalone] Added new command "lithops attach" that allows to create live ssh connections to the master VM
[Config] Allow to set monitoring_interval in config

Changed

[Standalone] Improved the performance of the master VM when getting the free available workers (reuse mode)

Fixed

[Standalone] Fixed VM initial installation script
[Standalone] Fixed get_workers method on master
[Standalone] Deleted unnecessary extra worker
[Standalone] Ensure all workers are properly started on reuse mode
[Localhost] Fixed storage delete_objects method that was deleting the entire folder of a file
[IBM VPC] General fixes in IBM VPC backend

[v2.5.5]

Added

[CLI] Allow to pass all available 'docker' parameter to 'lithops runtime build' command
[Multiprocessing] Add example file with different argument passing examples for Pool and Process

Fixed

[Localhost] Fixed minor issue when deleting completed jobs
[Multiprocessing] Fixed args mismatch error when passing list of tuples to Pool.map
[Standalone] Fixed cloud-init script that occasionally fails to set ssh credentials

[v2.5.4]

Fixed

[Standalone] Avoid deleting the master VM on consume mode

[v2.5.3]

Fixed

[Core] Fixed lithops.map_reduce() jobs. Sometimes jobs where not finishing
[Core] Spawn lithops.cleaner only once in the same execution instance
[Tests] Fix when running 'lithops verify' command
[CodeEngine] Delete jobruns and configmaps of internal executions
[k8s] Delete job definitions of internal executions
[Core] Ensure all temp data is cleaned from storage backend

[v2.5.2]

Added

[Core] Allow to spawn the reduce function in map_reduce() after a configurable percentage of completed map activations

Changed

[Config] 'max_workers' and 'worker_processes' keys must be set at backend level in config
[Config] 'remote_invoker' key must be set at backend level in config
[Config] 'customized_runtime' key must be set at lithops level in config
[Config] 'serverless' section in config is no longer required

Fixed

[CodeEngine] Fixed 'max_workers' parameter to limit the number of max workers per map invocation
[IBM CF] Create the runtime if not deployed when invoked
[Localhost] Fix localhost paths for windows hosts

[v2.5.1]

Added

[Localhost] Stop containers on ctrl-c

Changed

[Localhost] Start container with user's uid:gid
[Localhost] Extended default execution timeout to 3600 seconds

Fixed

[Standalone] Fixed standalone execution on consume mode
[Aliyun FC] Fixed Aliyun Function compute backend
[Core] Fixed 'lithops runtime build' command when the backend is not configured in config

[v2.5.0]

Added

[CLI] Add new command in cli to list deployed runtimes
[Standalone] Add reuse mode that allows to reuse the same VMs for all the maps
[Config] Allow to configure worker_processes parameter in serverless and standalone sections
[Localhost] Prevent multiple jobs in the same executor to run at the same time
[Standalone] Prevent multiple jobs submitted to the same master VM to run at the same time
[CE] Added COS Direct endpoints for free bandwidth from/to CodeEngine

Changed

[Core] worker_processes parameter has been moved from map() to FunctionExecutor()
[CE] Deleted docker naming restrictions in CE and k8s backends
[CLI] Prevent loading storage config when using 'lithops runtime build' command
[AWS Lambda] Moved layer build to a lambda, solves OS related errors when compiling libraries
[AWS Lambda] Adjusted new memory configurations (128 MB minimum and removed 64 MB increments check)
[AWS Lambda] Add support for Python3.9
[Standalone] ssh VM password is now a 37 chars random and dynamic password (for create and resue modes)

Fixed

[CE] Create a new token when it expires after 20 minutes when using the same FunctionExecutor
[CE] Prevent exception when detecting the docker username in k8s and CE backends
[Core] Fix minor issue in jobrunner
[AWS Lambda] Fixed aws config max timeout check
[Standalone] Fixed issue that prevents to run multiple maps() with the same FunctionExecutor (create mode)

[v2.4.1]

Fixed

[IBM VPC] Fixed a data inconsistency on consume mode

[v2.4.0]

Added

[Storage] Added MinIO storage backend
[Core] Allow to pass function args as part of the invocation payload in FaaS backends
[Core] Optimize call_async() calls with an internal function caching system
[AWS Lambda] New invoke method that reduces total invocation time
[Core] Allow to set the bucket name at storage backend level in config
[localhost] stop running jobs processes on ctrl-c or exception
[AWS S3] Added region_name parameter in config

Changed

[Core] Improved performance and efficiency of the lithops cleaner background process
[AWS Lambda] Use layer from Klayers API for pre-compiled Amazon Linux numpy binaries
[Core] Moved invoke_pool_threads param from map and map_reduce calls. Now it must be set at backend level in config

Fixed

[Localhost] Fixed error when processing localhost objects
[Localhost] Allow to create a localhost storage instance when a config file exists with a cloud configuration
[Core] Fixed an unusual inconsistency in configuration between 'backend' and 'mode' parameters
[Core] Fixed customized_runtime feature
[Core] Fixed get_result() execution after wait() when throw_except is set to False
[Core] Fixed internal executions
[Core] Fixed 'lithops storage list' CLI when a bucket is empty
[Standalone] Fixed execution

[v2.3.5]

Added

[Core] Add function chaining pattern in the Futures API
[Core] ob.data_stream is now also an iterator when using the partitioner
[AWS Lambda] Add 'account_id' parameter in config (used if present instead of querying STS).
[k8s] Allow to set the maximum number of parallel workers
[Localhost] Allow the partitioner to process local directories

Changed

[Core] Add 'key' and 'bucket' attrs in localhost partitioner for compatibility with OS
[Serverless] runtime, runtime_memory and runtime_timeout can only be set at backend level

Fixed

[Standalone] Fix execution
[Core] Avoid loading the config file twice

Deleted

[AWS Lambda] Using custom layer runtimes for AWS Lambda due to layer size limitations.

[v2.3.4]

Added

[Core] Allow to execute a Class as lithops function
[CE] Allow to to run code engine without kubecfg file
[CE] Allow private container registries
[k8s] Allow private container registries
[knative] Allow private container registries
[Localhost] Allow the partitioner to process local files
[joblib] Added joblib entry in extras_require for joblib backend dependencies

Changed

[CE] CPU and memory values must match predefined flavors
[multiprocessing] Improved nanomsg Pipe implementation
[joblib] Optimized joblib backend (concurrent args data upload/download)

Fixed

[Core] Fixed module analyzer
[Core] Clear only present jobs instead of all after wait() or get_result()
[multiprocessing] Fix put/get slice to/from mp.Array or mp.RawArray

[v2.3.3]

Fixed

[Core] Allow to execute class methods as lithops function

[v2.3.2]

Added

[Core] New "warm_container" and "func_result_size" in future statistics
[Core] New logic to detect referenced modules/libs

Changed

[Core] New monitoring system
[Core] Deleted strong dependency to pika==0.13.1

Fixed

[Partitioner] Fixed partitioner when obj url contains more than one subfolder
[Cli] Fixed serverless runtime lifecycle methods

Deleted

[Core] Removed cloudpickle from lithops.libs

[v2.3.1]

Added

[Core] Allow Support for Python 3.9
[Core] Added standalone get_result() and wait() methods
[knative] Include GCP and Azure storage libs into default knative runtime
[CodeEngine] Enable internal kubernetes pod executions
[k8s] Enable internal kubernetes pod executions
[Cli] Added 'empty' function to storage cli to empty a bucket
[Core] Added new method to FunctionExecutor() to calculate execution costs
[IBM CF] Added formula to calculate execution costs
[Multiprocessing] Added Nanomsg connection type for addressable backends
[Multiprocessing] Added expiry time for Redis multiprocessing resources
[Multiprocessing] Added Listener and Client for multiprocessing using Redis
[Azure Functions] Added support for http trigger
[Core] Set lithops to localhost mode when config files is empty

Changed

[IBM CF] Change user_key to API-key pass instead of user
[Azure] Changed configuration keys
[Core] Improved worker when chunksize is set to values > 1
[Core] Check lithops version mismatch in host instead of in worker

Fixed

[Core] Overwrite the runtime set in config with the runtime set in the FunctionExecutor
[Cli] Fixed --config param in lithops cli
[Standalone] Fixed internal executions
[Core] Fixed rabbitmq monitor when get_result() is called after wait()
[GCP Storage] Fix GCP Storage backend put obj as stream
[GCP Functions] Improved runtime create time
[Azure blob] Fix in azure blob get method
[Azure Functions] Fix build runtime command

[v2.3.0]

Added

[Core] Added multiprocessing support in workers
[Core] Added 'cunksize' param to API calls
[Core] Added 'worker_processes' param to API calls
[Core] Allow a worker to process more than one call trough 'chunksize' param
[Core] All Functions logs are now synchronized with the client
[Config] Allow 'log_level' and 'log_format' keys in configuration
[Config] Allow 'log_stream' and 'log_filename' keys in configuration
[Config] Allow 'runtime' being configured at serverless backend level
[Config] Allow 'invoke_pool_threads' being configured at serverless backend level
[Multiprocessing] Added generic Manager
[Kubernetes] Add kubernetes job backend
[CLI] Extended lithops cli with storage put, get, delete and list options
[Azure] Added missing azure functions backend methods

Changed

[Core] Improved Standalone execution mode
[Core] Renamed utils.setup_logger() method to utils.setup_lithops_logger()
[Core] Renamed partitioner 'chunk_size' param to 'obj_chunk_size'
[Core] Renamed partitioner 'chunk_n' param to 'obj_chunk_number'
[GCP Cloud Run] Refactor backend, removed 'gcloud' CLI calls.
[IBM VPC] Improved IBM VPC backend
[AWS Lambda] Lambda layer modules update

Fixed

[Multiprocessing] Fix issues related to Pipes and Queues
[Multiprocessing] Fix multiprocessing.context methods
[CodeEngine/knative] Fix getting docker username in MAC OS hosts

[v2.2.16]

Fixed

[Code Engine] Fixing code engine docker image

[v2.2.15]

Added

[Joblib] Joblib backend upgraded
[AWS Lambda] Support for container-based runtimes
[AWS Lambda] Support for running functions in a VPC
[AWS Lambda] Support for attaching EFS volumes
[Core] Added cloudpickle, tblib and ps-mem deps as requirement of the runtimes
[Core] Add a new Serverless mode that allows to include the function within the runtime

Changed

[Core] Allow Standalone mode to start 1 VM per activation

Fixed

[Core] Fixed issue in clean when it is called between wait and get_result
[Core] Fixed multiprocessing Queue and get_context
[Core] Fixed multiprocessing args mapping in map and map_async
[Localhost] Fixed issue when using docker images in Windows or MAC

Deleted

[Core] Removed tblib from lithops.libs
[Core] Removed ps-mem from lithops.libs

Required actions

Run: python3 -m pip install -U cloudpickle tblib ps-mem ibm-vpc namegenerator

[v2.2.14]

Added

[Azure] Azure Functions backend upgraded
[Azure] Azure blob backend upgraded
[Alibaba] Alibaba Functions backend upgraded
[Alibaba] Alibaba Storage backend upgraded
[Localhost] Support passing file-like objects to put_object
[Localhost] Support head_bucket and head_object storage operations

Changed

[Core] Moved tests.py script to 'scripts' folder

Fixed

[Core] Fixed Storage API error when no config is provided
[Core] Fixed expired IAM token in IBM CF during an execution
[Core] Minor fixes in multiprocessing API
[Core] Fixed executor logging
[Core] Fixed issue in cleaner between wait and get_result
[CodeEngine] Fixed issue getting region
[Localhost] Fixed empty parent directory deletion when deleting objects
[Localhost] Made list_keys/list_objects behavior consistent with other backends

[v2.2.13]

Added

[CodeEngine] Compatible runtimes between knative and CE
[CodeEngine] runtime name regex verification
[CodeEngine] Added clear() method to delete all completed jobruns
[Standalone] Append installation logs into /tmp/lithops/proxy.log

Changed

[Localhost] Run functions in processes instead of threads in Windows
[CodeEngine] Reduced payload size
[Core] Updated logging

Fixed

[Core] Fixed Cloudpickle 1.6 modules detection
[Core] Added tblib.pickling_support in the local machine

[v2.2.11]

Changed

[CodeEngine] Delete runtime name regex verification

[v2.2.10]

Added

[Core] Allow to create a Storage() class from config file
[CodeEngine] Improved codeengine backend

Changed

[Core] Improved multiprocessing API
[Core] Improved Storage OS API

[v2.2.9]

Fixed

[CodeEngine] Fixed CodeEngine runtime entrypoint

[v2.2.8]

Fixed

[Core] Fix "lithops runtime create" cli
[Core] Fixed missing executor_id variable in jobrunner

[v2.2.7]

Added

[Core] Add joblib backend for scikit-learn
[Cli] Add more config parameters in lithops cli
[IBM COS] Add 'region' config param
[Knative] Add 'min_instances', 'max_instances' and 'concurrency' config params

Fixed

[Core] Fix job monitoring on Windows hosts
[Knative] Minor fix when using knative from master branch
[GCE] Fix in 'lithops runtime' cli
[Core] Minor fix in tests
[Core] Fixed data partitioner

[v2.2.5]

Fixed

[Core] Fixed issue in serverless config
[Core] Fixed issue in localhost storage backend
[Code Engine] Fixed issue in code engine backend

[v2.2.4]

Added

[Core] New 'lithops logs' command
[Core] New job cleaner process

Changed

[Core] localhost/standalone logging per job-id
[Core] Updated tblib to 1.7.0
[Core] Updated ps_mem lib
[Core] Standalone logic to ssh

Fixed

[Core] Fixed issue in localhost executor and Mac OS
[Core] Fixed issue in localhost storage backend

[v2.2.3]

Added

[Core] Cloudpickle 1.6.0 for python>=3.8
[Core] Multiprocessing API
[Core] Added "--mode" option in tests
[Core] Sync standalone function logs into a local file

Changed

[Core] Improved localhost/standalone logging
[Core] Allowed to run lithops without configuration

Fixed

[Core] Fixed some issues in localhost executor logic

[v2.2.2]

Fixed

[Core] Prevent lithops waiting forever for the proxy ready
[Core] Multiprocessing invoker in MAC OS
[Knative] Istio endpoint issue in knative backend

[v2.2.1]

Changed

[Core] Improved standalone executor logic
[Knative] Updated apiVersion to v1
[Knative] Updated default python3.8 Dockerfile

Fixed

[Core] Fixed runtime_memory param in API calls
[Core] Raise fn exceptions immediately when produced
[Core] Raise exceptions during fn invocation
[IBM COS] Get tokens for IAM API key and COS API Key
[AWS Lambda] Fixes in Lambda compute backend

[v2.2.0]

Added

[Core] New ServerlessExecutor
[Core] New StandaloneExecutor
[Core] New LocalhostExecutor
[Core] New StandaloneExecutor logic
[Core] New LocalhostExecutor logic
[Core] New Standalone invoker logic
[Core] New Localhost invoker logic

Changed

[Core] Changed some main keys in configuration

[v2.1.1]

Changed

[CodeEngine] Improved Code engine backend

[v2.1.0]

Added

[Core] Google Cloud Functions & Storage backends
[Core] Azure Functions & Blob Storage backends
[Core] AWS Lambda & AWS S3 backends
[Core] Alibaba Aliyun Functions & Object Storage backends
[Core] IBM Code Engine Compute backend

[v2.0.0]

Changed

[Core] Rebranding to LITHOPS

[v1.7.3]

Added

[Core] Generic compute client logic
[Core] IBM IAM service client lib
[Core] IBM VPC service client lib
[Docker] Docker backend compatible with IBM VPC VM

Changed

[Docker] Improved Docker executor

Fixed

[Ceph] Fix in Ceph endpoint

[v1.7.2]

Added

[GCR] Added Google Cloud Run Backend

Changed

[Core] Improved Storage abstraction
[Core] InternalStorage uses storage abstraction

Fixed

[Core] Fixed invoker token bucket when quota limit is reached
[Core] Fixed logging
[Core] Fixed invoker when it reaches quota limit
[Core] Fixed delete cloudobject
[Localhost] Fixed invocations ability to launch subprocesses
[Docker] Fixed docker running as user and not root

[v1.7.0]

Added

[GCS] Added Google Cloud Storage Backend
[Knative] Configurable CPU parameter

Fixed

[Core] Fixed issue in extra_args when iterdata is a dict
[Core] Fixed CloudObjects keys collisions
[Core] Fixed case where function argument is a list or tuple

[v1.6.0]

Added

[Core] New docker_executor()
[Ceph] New Ceph Storage backend

Changed

[Core] Moved all stats from 'f._call_status' to a new 'f.stats' variable
[Core] Bump httplib2 from 0.13.0 to 0.18.0
[Localhost] Improved localhost storage backend

Fixed

[Core] Fixed issue in pw.clean(cs=cobjs) when passing a large list of cobjs

[v1.5.2]

Added

[Core] Added 'data_limit' config param in pywren section
[Core] Added context-manager-like executor and example
[Core] Added debug mode in tests with '-d' flag
[Core] Added delete_cobject() and delete_cobjects() storage methods

Changed

[Core] Reducer logic moved to jobrunner
[Core] cloudobject methods moved from internal_storage to ibm_cos
[Core] renamed cloudobject put method from 'put_object' to 'put_cobject'
[Core] renamed cloudobject get method from 'get_object' to 'get_cobject'
[Core] 'internal_storage' func param renamed to 'storage'
[Core] pw.clean method can now clean cloudobjects
[Knative] Set default Knative runtime timeout to 10 minutes
[Knative] Added more debug logs in Knative
[Knative] Enabled building default knative runtime locally

Fixed

[Core] Fixed issue in map_reduce() method
[Core] Fixed issue in plot() method when using numpy 1.18.1
[Core] Fixed issue in cloudpickle when iterdata contains complex objects
[Core] Fixed issue with extra_env vars passed to functions
[Core] Fixed issue in memory monitor
[Core] Fixed issue in pywren-ibm-cloud cli
[Core] Fixed issue when wait()/get_result() methods are called multiple times
[Core] Fixed minor issue with ps_mem module in windows hosts
[Knative] Fixed knative to pass all tests
[Knative] Fixed remote_invoker in knative
[Knative] Fixed issue when pywren version mismatch in Knative
[Knative] Fixed issue in Knative when the default runtime is built
[knative] Fixed building default runtime based on current python version
[knative] Fixed OOM exceptions from knative to be correctly raised
[IBM COS] Fixed issue when using local_executor with IBM COS authorized by an api_key

[v1.5.1]

Changed

[Core] pw.create execution_plots() renamed to pw.plot()
[Core] Docs updated

Fixed

[Core] Fixed internal issues
[knative] Fixed minor issue in knative

[v1.5.0]

Added

[Core] Added support for Python 3.8
[Core] Added memory monitor

Changed

[Core] Updated knative to work for new releases
[Core] Updated tblib from 1.4.0 to 1.6.0
[Core] Changed get_current_memory_usage() to get_memory_usage()
[Core] pywren-runtime client is now called pywren-ibm-cloud

Fixed

[Core] Fixed issue with internal partitioner
[Core] Fixed issue with get_result()
[Core] Fixed issue with windows hosts
[Core] Some other Internal fixes

[v1.4.2]

Added

[Core] Prevent get_result() to wait forever when using COS
[Core] Added more debug logs
[Infinispan] Infinispan storage backend

Changed

[Core] Reduced the number of COS clients created in each function activation

Fixed

[Core] Fixed internal issue with storage
[Core] Fixed future exception handling
[Core] Some other Internal fixes

[v1.4.1]

Added

[Core] Prevent get_result() to wait forever when using RabbitMQ
[knative] Added new Dockerflies for knative

Changed

[Core] Changed way to raise function exceptions
[Knative] Changed way to build custom runtimes for knative
[IBM CF] COS private_endpoint is now mandatory if using IBM CF

Fixed

[Knative] Fixed knative when it creates a runtime based on an already built image
[Core] Fixed throw_except parameter on wait() and get_result()
[Core] Some other Internal fixes

[v1.4.0]

Added

[Core] New way to create RabbitMQ resources

Changed

[Core] Default invoker background processes set to 2
[Core] Code refactoring

Fixed

[Core] Fixed issue when config in runtime is used multiple times
[Core] Fixed invoker stop() method
[Core] Some other Internal fixes

[v1.3.1]

Added

OpenWhisk Compute backend
openwhisk_executor()
Allowed multiple users in same CF namespace
Added IBM COS request retrying when ReadTimeoutError

Changed

COS token will expire 10 minutes before
CF IAM token will expire 10 minutes before
Improved remote invoker
Reraise exception from functions
Docs updated
Default runtime timeout set to seconds
default function timeout set to 595 secs

Fixed

Fixed new invoker usage in notebooks
fixes in knative backend
Some other Internal fixes

[v1.3.0]

Added

New invoker mechanism
New native remote invoker for ibm_cf
pywren-runtime clean command to delete all tmp data
capacity to limit the number of concurrent workers
architecture documentation

Changed

Changed Internal data cleaner logic to delete only desired job
Updated ibm_cf Dockerfiles
Moved chunk min size from 1MB to 0MB
changed executor id format
Timeout waiting for functions to complete set to None by default
Updated ibm_cf base image requirements

Fixed

Internal fixes
Fixed tests
Fixed pywren inside pywren function executions

[v1.2.0]

Added

New local_executor() to run pywren jobs in the local machine
New localhost compute backend
New localhost storage backend
New docker_executor() to run pywren jobs in the local machine by using docker
New docker compute backend

Changed

Docs updated
Code refactor

Fixed

Internal fixes
Bump pillow from 5.4.1 to 6.2.0

[v1.1.1]

Added

Allowed partitioner to split files by a number of chunks
Missing logic in knative backend

Changed

Docs updated

Fixed

Internal fixes

[v1.1.0]

Added

Added knative-serving compute backend
Added Dockerfile skeleton for slim Python3.6 runtime (only 307MB)
Added CACHE_DIR in ~/.pywren/cache
knative_executor() and function_executor()
support to work on multiple regions at a time

Changed

Docs updated
Runtime Dockerfiles updated
Runtime requirements updated
Updated Cloudpickle lib to version 1.2.2
Parameters introduced in the executer now overwrite the config
updated tests

Fixed

Internal logic to generate runtime_metadata
invalid call to "is_remote_cluster" method
Cloudpickle lib to accept any kind of import
include_modules option in serializer

[v1.0.20]

Added

Storage abstraction for data partitioner
Added 'extra_params' arg to map() and map_reduce() calls
Logic to reuse IAM API Key tokens during 1 hour
More debug logging

Changed

Docs updated
Full support for Python3.5

Fixed

Fixed minor issue in config
Fixed possible issue extracting metadata from large docker images (runtimes)

[v1.0.19]

Added

Added 'obj' as an optional arg for the functions when a user wants to process objects from OS
Added 'rabbitmq' as an optional arg for the functions
Added 'id' as an optional arg for the functions
Added rabbitmq example

Changed

Deleted 'bucket' 'key' 'data_stream' function args in favor of 'obj'
Internal improvements related data partitioning
Changed create_timeline_plots() method name to create_execution_plots()
Docs updated
updated notebooks
Upgrade cos-sdk Python module version

Fixed

Fixed tests
Fixed CVE-2019-12855 security alert

[v1.0.18]

Added

Added CloudObject abstraction
Added CloudObject example
Restored OOM exception
Allowed to get_results when rabbit monitoring is activated
Allowed rabbimq to monitor multiple jobs at a time
Statuses returned from rabbitmq to futures

Changed

Code refactoring about compute abstraction
Reorganized libs folder
Updated cloudpickle lib from 0.6.1 to 1.2.1
Updated glob2 lib to 0.7
Updated tests
Modified job_id format

Fixed

Fixed minor issue listing CF actions
Fixed issue when executing pywren inside pywren
Fixed possible issue with invalid config parameters
Fixed wrong method name: build_runtime()
Fixed internal_storage parameter in partitioner
Fixed crete_timeline_plots method according recent changes

[v1.0.17]

Changed

Code refactoring about compute abstraction

Fixed

Fixed issue with invocation retries

[v1.0.16]

Added

Added missing init file
Allowed 'clean=all' arg in clean() method

Changed

Simplified invoker
Moved compute and storage classes to separate files
Deleted unnecessary files
Close plots on finish
Code refactoring about compute abstraction

Fixed

Fixed broken readme links
Fix in invocation method

[v1.0.15]

Added

Added log information
Added init files
Store runtime_metadata into a local cache in order to reduce exec time

Changed

Modularized Invoker
Changed some variable names
Docs updated

Fixed

Fixed set_memory in invoker
Fixed unneeded memory usage
Fixed none finished futures
Fixed wait method
Fixed issue with map_reduce()

[v1.0.14]

Added

Pywren runtime deployment as script
Changed name of the runtime deployment script
Added 'pywren_runtime clean' option
Added function_name and runtime_memory to future's status
Added 'pywren_runtime update all' option
Added exception when preinstalled modules list is not well provided
Add package parameter to delete function

Changed

Improved sending execution statuses through rabbitmq
Improved exception management
Moved some logs to debug
Improved runtime deployment script
Changed logic order of the create_timeline_plots method

Fixed

Preventing false out-of-memory error
Fixed issue when using rabbitmq to monitor executions
Fixed issue tracking map_reduce execution with progressbar
Some other fixes

[v1.0.13]

Changed

match create_timeline_plots() to rabbitmq feature

Fixed

Fixed possible issue deploying runtime
Fixed jobrunner logs
Fix in url paths
Some other fixes

[v1.0.12]

Changed

Moved ibm_iam lib from tornado to requests package
Minor change create_timeline_plots()

Fixed

Map futures before reduce wont be downloaded
Fix in cf_connector
Fix in tests
private endpoint fix
Some other fixes

[v1.0.11]

Added

Support for IBM IAM authentication for IBM CF and IBM COS
Take into account cf_region and cf_namespace in runtime_name

Changed

Improved invocation speed
Improved runtime deployment
Minor improve get_result()
Moved 'create action name' logic to utils
Change map_reduce to return also map futures
Improved remote_invocation mechanism
Moved cf_connector to libs

Fixed

Fixed deploy_utils script
Some other fixes

[v1.0.10]

Added

Add support to create pywren's plots in cos

Fixed

Fixed future status
Fixed wait method
Fixed minor issues in plots.py and wren.py
Clarified when future is ready or done
Some other fixes

[v1.0.9]

Added

Added COS private_endpoint parameter
added external config support for tests' executors
Added exceptions management in monitor() method

Changed

integrated test file into PyWren
Tuned-up some parameters
Send jobrunner config through a parameter
docs verify section update
moved test call outside of wren.py

Fixed

Fixed issues when PyWren is used from a Windows host
Fixed issue with 'signal' module on Windows hosts
Check token timestamp of COS

[v1.0.8]

Added

Added connection timeout on COS to avoid possible issues

Fixed

Fixed possible issue when calling future.result()
Some other fixes

[v1.0.7]

Added

Runtimes automatically created

Changed

Improved Runtime management
Improved performance of jobrunner
Updated notebooks
Restored .gitignore
Docs updated

Fixed

Some minor fixes

[v1.0.6]

Added

Enabled memory configuration in the executor

Changed

Docs updated

Fixed

Fix issue in cf_connector
Some other fixes

[v1.0.5]

Added

log_level propagated to functions
added an option to get debug logs from boto3
Support for configurable IAM endpoint
added chunk_size tests

Changed

Project structure refactor
Modified create_zip_action method
Docs updated
Improved runtime deployment
improved 'bucket' parallelism in partitioning
Removed annoying info prints

Fixed

Fix function name
Fixed issue in cf_connector when running PW from Windows
Fix issue with log_level
Fixed issue with white spaces when deploying a runtime

[v1.0.4]

Added

Added rabbitmq logic
Added is_notebook method
Added wrapper to data_stream for partitioned data
Created WrappedStreamingBodyPartition() class for data partitions
Run multiple maps() in the same executor
added multiple execution on the same executor tests
added ibm_cos tests
Added download_results parameter in monitor() method to ensure all results are downloaded
Added pika package to dependencies
Tracking new futures from a function
Example of Docker image for dlib

Changed

Change name of wait() method to monitor()
Tuned up some parameters to speedup wait method
Moved all partitioner logic into partitioner.py
Installation script to support PW version as a parameter
Changed way to get last row position on data partition
Deleted duplicated get_result method
Hide urllib3 annoying debug logs within functions
Activate remote_invocation when data comes from COS
Docs updated

Fixed

Fixed partitioner data wrapper
Fix tests to work with last partitioner update
Fixed chunk threshold
Fix printing plots
Fixed rabbitmq config
Some other fixes

[v1.0.3]

Added

Add support to generate execution timeline plots
pi_estimation_using_monte_carlo_with_PyWren.ipynb
stock_prediction_monte_carlo_with_PyWren.ipynb
Added missing modules in setup.py
Added memory usage in action logs

Changed

Reverted cloudpickle usage
Move default action memory to 512MB
Improved installation script
Refactored deploy_runtime script
Updated deploy_runtime script, clone command
Docs updated
Finished map() and map_reduce() consistency issue
Raise exception when some activation fails

Fixed

Fixed issue reusing COS tokens
Fixed partitioner object split
Fixed map() and map_reduce() consistency issue
Some other fixes

[v1.0.2]

Added

ibm_boto3 client as an input of the parameter 'ibm_cos' of the function
Add functional test script
Added retry logic
Invoker logic
Added missing init file
Added user agent to identify pywren
Added missing dependencies

Changed

Abstracted COS logic for map() and map_reduce() methods
pw.map() method through COS abstractions
Retry mechanism when exception
Use CloudPickle module in all project for serializing/unserializing
Docs updated
Storage separation
Project update. 'bx' and 'wsk' CLI tools are no longer necessary
Updated setup.py
Deleted requirements.txt
Updated default_preinstalls

Fixed

Minor warnings fix
Fixed logging
step back with gevent until import fixed in openwhisk
Fixed issue when running map_reduce job from COS keys
Fixed issue retrieving results
Fixed issue when processing a dataset from url
Fixed issue when running map_reduce method
Some other fixes

[v1.0.1]

Added

Example of the Docker image that is based on Anaconda
Enabled support for multiple call_assync() calls in the same pw instance
Added 'OutOfMemory' Exception
Jupyter notebook example
configurable cleaner for temporary data

Changed

Changed and improved logging in order to log correctly within IBM Cloud Functions
Changed Python interpreter of the data_cleaner method
Moved some info prints to debug
improved remote function invocation mechanism

Fixed

Fixing flask security issues CVE-2018-1000656
Fixed minor issue when futures is not a list
Fixed default config exception. API KEY is not mandatory.
Fixes in logging
Some other fixes

[v1.0.0]

First release.

New runtime based on Docker images.
Added IBM Cloud Functions API connector for function invocations.
Added support for IBM Cloud Object Storage (COS) backend (or S3 API).
Added support for OpenStack Swift backend (or Swift API).
Added timeout while PyWren is getting the results. It prevents PyWren waits forever when some function fails and the results are not stored in COS.
Created the ibmcf/default_config.yaml config file for storing the main PyWren configuration parameters such as Cloud Functions and COS access keys.
Enabled to use PyWren within a PyWren function.
Enabled redirections. Now it is possible to send a Future class as a response of a function. This means that the function has executed another function, and the local PyWren has to wait for another response from another invocation.
Added a new map_reduce()-like method: Unlike the original map and reduce methods, this new one integrates an automatic data partitioning based on a chunk size provided by the user. Both the map and the reduce functions are orchestrated and executed within Cloud Functions and the user just waits for the final result provided by the reduce function.
Automatic data discovering in the new map_reduce()-like method. With this method it is possible to specify a bucket name in order to process all the objects within it instead of specifying each object one by one.
Created a function which removes residual data from COS when the PyWren execution finishes.
The main executor is a class and not a method.
All the methods available for the users are integrated within the main executor class.
Added state in the main executor class in order to control the correct execution order of its methods (like a Turing machine)
When a new executor class is instantiated, it is created a new unique executor_id used to store all the objects in COS, and to retrieve the results.
When a new executor class is instantiated, it is created a storage_handler used in the all PyWren execution.
Now it is possible to specify the runtime when the user instantiates the executor class instead of changing the config file every time (In the config file is specified the default runtime).
The logging level is now specified when the user instantiates the executor class instead of put it in the first line of the code within an env variable.
The PyWren code which is executed remotely as a wrapper of the function now uses the main storage handler as the rest of the PyWren code. In previous versions, PyWren creates a new storage client directly with boto3 library instead of using pywren/storage/storage.py wrapper.
Added support for multiple parameters in the functions which are executed remotely as a cloud functions. Previous versions just allows one parameter.
Eased the usage of the storage backend within a function. By simply specifying storage_handler as a parameter of the function, the user will get access to the storage backend.
Added a new method for retrieving the results of an execution called fetch_all_resuslts(). Previous PyWren versions already includes a method called get_all_results(), but this is a sequential method and it takes long time to retrieve all the results. It was also included a wait() class which is more similar to get_all_results() method, the main difference is that the new method is all based on list the available objects in a bucket, and it returns when all the tasks are finished. The new method also has the possibility to activate a progress bar in order to track the current status of the execution (really useful for larger executions).
Added support for libs not included in the IBM Cloud Functions native image (python-jessie:3). Some libraries necessary for executing PyWren (remote code) are not included in the native CFs docker image. Now PyWren has the pywren/libs dir which includes all of these libraries, so it is possible to use PyWren with the native Docker image instead of building a new one with the missing libraries.
In the COS backend, the boto3 library was changed to the ibm_boto3 library
Increased function execution timeout to 600 seconds (10 minutes)
Other minor changes

Files

CHANGELOG.md

Latest commit

History

CHANGELOG.md

File metadata and controls

Changelog

[v3.3.1.dev0]

Added

Changed

Fixed

[v3.3.0]

Added

Changed

Fixed

[v3.2.0]

Added

Changed

Fixed

[v3.1.2]

Added

Changed

Fixed

[v3.1.1]

Added

Changed

Fixed

[v3.1.0]

Added

Changed

Fixed

[v3.0.1]

New

Added

Changed

Fixed

[v3.0.0]

New

Added

Changed

Fixed

[v2.9.0]

Added

Changed

Fixed

[v2.8.0]

Added

Changed

Fixed

[v2.7.1]

Added

Changed

Fixed

[v2.7.0]

New

Added

Changed

Fixed

[v2.6.0]

Added

[v2.5.9]

Added

Changed

Fixed

[v2.5.8]

Added

Fixed

[v2.5.7]

Added

Fixed

[v2.5.6]

Added

Changed

Fixed

[v2.5.5]

Added

Fixed

[v2.5.4]

Fixed

[v2.5.3]