Package: cloudreactor-procwrapper
cloudreactor-procwrapperWraps the execution of processes so that an API server
(CloudReactor)
can monitor and manage them.
Available as a standalone executable or as a python module.FeaturesRuns either processes started with a command line or a python function you
supplyImplements retries and time limitsInjects secrets from AWS Secrets Manager, AWS S3, or local files and extracts
them into the process environment (for command-lines) or configuration (for
functions)When used with the CloudReactor service:Reports when a process/function starts and when it exits, along with the
exit code and runtime metadata (if running in AWS ECS, AWS Lambda, or AWS CodeBuild)Sends heartbeats, optionally with status information like the number of
items processedPrevents too many concurrent executionsStops execution when manually stopped in the CloudReactor dashboardSends CloudReactor the data necessary to start the process / function if running in AWS ECS, AWS Lambda, or AWS CodeBuildHow it worksFirst, secrets and other configuration are fetched and resolved from
providers like AWS Secrets Manager, AWS S3, or the local filesystem.Just before your code runs, the module requests the API server to create a
Task Execution associated with the Task name or UUID which you pass to the
module.
The API server may reject the request if too many instances of the Task are
currently running, but otherwise records that a Task Execution has started.
The module then passes control to your code.While your code is running, it may report progress to the API server,
and the API server may signal that your Task stop execution (due to
user manually stopping the Task Execution), in which
case the module terminates your code and exits.After your code finishes, the module informs the API server of
the exit code or result. CloudReactor monitors Tasks to ensure they
are still responsive, and keeps a history of the Executions of Tasks,
allowing you to view failures and run durations in the past.Auto-created TasksBefore your Task is run (including this module),
theAWS ECS CloudReactor Deployercan be used to set it up in AWS ECS,
and inform CloudReactor of details of your Task.
That way CloudReactor can start and schedule your Task, and setup your
Task as a service.
SeeCloudReactor python ECS QuickStartfor an example.However, it may not be possible or desired to change your deployment process.
Instead, you may configure the Task to beauto-created.Auto-created Tasks are created the first time your Task runs.
This means there is no need to inform the API server of the Task details
(during deployment) before it runs.
Instead, each time the module runs, it informs the API server of the
Task details at the same time as it requests the creation of a Task Execution.
One disadvantage of auto-created Tasks is that they are not available
in the CloudReactor dashboard until the first time they run.When configuring a Task to be auto-created, you must specify the name
or UUID of the Run Environment in CloudReactor that the Task is
associated with. The Run Environment must be created ahead of time,
either by the Cloudreactor AWS Setup Wizard,
or manually in the CloudReactor dashboard.You can also specify more Task properties, such as Alert Methods and
external links in the dashboard, by setting the environment variablePROC_WRAPPER_AUTO_CREATE_TASK_PROPSset to a JSON-encoded object that has theCloudReactor Task schema.Execution MethodsCloudReactor currently supports four Execution Methods:AWS ECS (in Fargate)AWS LambdaAWS CodeBuildUnknownIf a Task is running in AWS ECS, CloudReactor is able to run additional
Task Executions, provided the details of running the Task is provided
during deployment with the AWS ECS CloudReactor Deployer, or if the
Task is configured to be auto-created, and this module is run. In the
second case, this module uses the ECS Metadata endpoint to detect
the ECS Task settings, and sends them to the API server. CloudReactor
can also schedule Tasks or setup long-running services using Tasks,
provided they are run in AWS ECS.If a Task is running in AWS Lambda, CloudReactor is able to run additional
Task Executions after the first run of the function.However, a Task may use the Unknown execution method if it is not running
in AWS ECS, AWS Lambda, or AWS CodeBuild. If that is the case, CloudReactor won't be able to
start the Task in the dashboard or as part of a Workflow,
schedule the Task, or setup a service with the Task. But the advantage is
that the Task code can be executed by any method available to you,
such as bare metal servers, VM's, or Kubernetes.
All Tasks in CloudReactor, regardless of execution method, have their
history kept and are monitored.This module detects the execution method your Task is
running with and sends that information to the API server, provided
you configure your Task to be auto-created.Passive TasksPassive Tasks are Tasks that CloudReactor does not manage. This means
scheduling and service setup must be handled by other means
(cron jobs,supervisord, etc).
However, Tasks marked as services or that have a schedule will still be
monitored by CloudReactor, which will send notifications if
a service Task goes down or a Task does not run on schedule.The module reports to the API server that auto-created Tasks are passive,
unless you specify the--force-task-passivecommmand-line option or
set the environment variablePROC_WRAPPER_TASK_IS_PASSIVEtoFALSE.
If a Task uses the Unknown Execution Method, it must be marked as passive,
because CloudReactor does not know how to manage it.Pre-requisitesIf you just want to use this module to retry processes, limit execution time,
or fetch secrets, you can use offline mode, in which case no CloudReactor API
key is required. But CloudReactor offers a free tier so we hope yousign upfor a free account to enable monitoring and/or management.If you want CloudReactor to be able to start your Tasks, you should use theCloudreactor AWS Setup Wizardto configure your AWS environment to run Tasks in ECS Fargate.
You can skip this step if running in passive mode is OK for you.If you want to use CloudReactor to manage or just monitor your Tasks,
you need to create a Run Environment and an API key in the CloudReactor
dashboard. The API key can be scoped to the Run Environment if you
wish. The key must have at least the Task access level, but for
an auto-created Task, it must have at least the Developer access level.InstallationPyInstallerStandalone executables built byPyInstallerfor 64-bit Linux and Windows are available, located inbin/pyinstaller.
These executables bundle
python so you don't need to have python installed on your machine. They also
bundle all optional extras so you can fetch secrets from AWS
Secrets Manager and extract them with jsonpath-ng, for example.RHEL or derivativesTo download and run the wrapper on a RHEL/Fedora/Amazon Linux 2 machine:RUN wget -nv https://github.com/CloudReactor/cloudreactor-procwrapper/raw/5.3.2/bin/pyinstaller/al2/5.3.2/proc_wrapper.bin
ENTRYPOINT ["proc_wrapper.bin"]Example Dockerfiles of known working environments are available forAmazon Linux 2andFedora.Fedora 27 or later are supported.Debian based machinesOn a Debian based (including Ubuntu) machine:RUN wget -nv https://github.com/CloudReactor/cloudreactor-procwrapper/raw/5.3.2/bin/pyinstaller/debian-amd64/5.3.2/proc_wrapper.bin
ENTRYPOINT ["proc_wrapper.bin"]See the exampleDockerfilefor a known working Debian environment.Debian 10 (Buster) or later are supported.Special thanks towineandPyInstaller Docker Imagesfor making it possible to cross-compile!When python is availableInstall this module via pip (or your favorite package manager):pip install cloudreactor-procwrappercloudreactor-procwrapperdoesn't have any required dependencies, but it can
be installed with the following extras:aws: Support for fetching secrets from AWS Secrets Manager or S3, and
determining the assumed role, implemented by theboto3libraryjsonpath: Support for secret resolution using JSON Path, implemented by thejsonpath-nglibraryyaml: Support for configuration files in YAML format, implemented by thepyyamllibrarydotenv: Support for environment variables defined in the dotenv format,
implemented by thedotenvlibrarymergedeep: Support for secret object value merging using alternative
strategies, implemented by themergedeeplibraryUse brackets aftercloudreactor-procwrapperto enable support for the desired
functionality. For example, to install AWS support, JSON Path secret resolution,
and support for dotenv files:pip install cloudreactor-procwrapper[aws,jsonpath,dotenv]Or, to install support for everything:pip install cloudreactor-procwrapper[allextras]UsageThere are two ways of using the module: wrapped mode and embedded mode.Wrapped modeIn wrapped mode, you pass a command line to the module which it
executes in a child process. The command can be implemented in whatever
programming language the running machine supports.Instead of runningsomecommand --somearg xyou would run./proc_wrapper somecommand --somearg xassuming that are using the PyInstaller standalone executable, and that
you configure the program using environment variables.Or, if you have python installed:python -m proc_wrapper somecommand --somearg xHere are all the options:usage: proc_wrapper [-h] [-v] [-n TASK_NAME] [--task-uuid TASK_UUID] [-a] [--auto-create-task-run-environment-name AUTO_CREATE_TASK_RUN_ENVIRONMENT_NAME]
                    [--auto-create-task-run-environment-uuid AUTO_CREATE_TASK_RUN_ENVIRONMENT_UUID] [--auto-create-task-props AUTO_CREATE_TASK_PROPS]
                    [--force-task-active] [--task-execution-uuid TASK_EXECUTION_UUID] [--task-version-number TASK_VERSION_NUMBER]
                    [--task-version-text TASK_VERSION_TEXT] [--task-version-signature TASK_VERSION_SIGNATURE]
                    [--build-task-execution-uuid BUILD_TASK_EXECUTION_UUID] [--deployment-task-execution-uuid DEPLOYMENT_TASK_EXECUTION_UUID]
                    [--execution-method-props EXECUTION_METHOD_PROPS] [--task-instance-metadata TASK_INSTANCE_METADATA] [-s] [--schedule SCHEDULE]
                    [--max-concurrency MAX_CONCURRENCY] [--max-conflicting-age MAX_CONFLICTING_AGE] [--api-base-url API_BASE_URL] [-k API_KEY]
                    [--api-heartbeat-interval API_HEARTBEAT_INTERVAL] [--api-error-timeout API_ERROR_TIMEOUT]
                    [--api-final-update-timeout API_FINAL_UPDATE_TIMEOUT] [--api-retry-delay API_RETRY_DELAY] [--api-resume-delay API_RESUME_DELAY]
                    [--api-task-execution-creation-error-timeout API_TASK_EXECUTION_CREATION_ERROR_TIMEOUT]
                    [--api-task-execution-creation-conflict-timeout API_TASK_EXECUTION_CREATION_CONFLICT_TIMEOUT]
                    [--api-task-execution-creation-conflict-retry-delay API_TASK_EXECUTION_CREATION_CONFLICT_RETRY_DELAY]
                    [--api-request-timeout API_REQUEST_TIMEOUT] [-o] [-p] [-d DEPLOYMENT] [--send-pid] [--send-hostname] [--no-send-runtime-metadata]
                    [--runtime-metadata-refresh-interval RUNTIME_METADATA_REFRESH_INTERVAL] [-l {DEBUG,INFO,WARNING,ERROR,CRITICAL}] [--log-secrets]
                    [--exclude-timestamps-in-log] [-w WORK_DIR] [-c COMMAND_LINE] [--shell-mode {auto,enable,disable}] [--no-strip-shell-wrapping]
                    [--no-process-group-termination] [-t PROCESS_TIMEOUT] [-r PROCESS_MAX_RETRIES] [--process-retry-delay PROCESS_RETRY_DELAY]
                    [--process-check-interval PROCESS_CHECK_INTERVAL] [--process-termination-grace-period PROCESS_TERMINATION_GRACE_PERIOD]
                    [--enable-status-update-listener] [--status-update-socket-port STATUS_UPDATE_SOCKET_PORT]
                    [--status-update-message-max-bytes STATUS_UPDATE_MESSAGE_MAX_BYTES] [--status-update-interval STATUS_UPDATE_INTERVAL] [-e ENV_LOCATIONS]
                    [--config CONFIG_LOCATIONS] [--config-merge-strategy {DEEP,SHALLOW,REPLACE,ADDITIVE,TYPESAFE_REPLACE,TYPESAFE_ADDITIVE}]
                    [--overwrite-env-during-resolution] [--config-ttl CONFIG_TTL] [--no-fail-fast-config-resolution]
                    [--resolved-env-var-name-prefix RESOLVED_ENV_VAR_NAME_PREFIX] [--resolved-env-var-name-suffix RESOLVED_ENV_VAR_NAME_SUFFIX]
                    [--resolved-config-property-name-prefix RESOLVED_CONFIG_PROPERTY_NAME_PREFIX]
                    [--resolved-config-property-name-suffix RESOLVED_CONFIG_PROPERTY_NAME_SUFFIX] [--env-var-name-for-config ENV_VAR_NAME_FOR_CONFIG]
                    [--config-property-name-for-env CONFIG_PROPERTY_NAME_FOR_ENV] [--main-container-name MAIN_CONTAINER_NAME]
                    [--monitor-container-name MONITOR_CONTAINER_NAME] [--sidecar-container-mode] [--rollbar-access-token ROLLBAR_ACCESS_TOKEN]
                    [--rollbar-retries ROLLBAR_RETRIES] [--rollbar-retry-delay ROLLBAR_RETRY_DELAY] [--rollbar-timeout ROLLBAR_TIMEOUT]
                    ...

Wraps the execution of processes so that a service API endpoint (CloudReactor) is optionally informed of the progress. Also implements retries, timeouts, and
secret injection into the environment.

positional arguments:
  command

optional arguments:
  -h, --help            show this help message and exit
  -v, --version         Print the version and exit

task:
  Task settings

  -n TASK_NAME, --task-name TASK_NAME
                        Name of Task (either the Task Name or the Task UUID must be specified
  --task-uuid TASK_UUID
                        UUID of Task (either the Task Name or the Task UUID must be specified)
  -a, --auto-create-task
                        Create the Task even if not known by the API server
  --auto-create-task-run-environment-name AUTO_CREATE_TASK_RUN_ENVIRONMENT_NAME
                        Name of the Run Environment to use if auto-creating the Task (either the name or UUID of the Run Environment must be specified if auto-
                        creating the Task). Defaults to the deployment name if the Run Environment UUID is not specified.
  --auto-create-task-run-environment-uuid AUTO_CREATE_TASK_RUN_ENVIRONMENT_UUID
                        UUID of the Run Environment to use if auto-creating the Task (either the name or UUID of the Run Environment must be specified if auto-
                        creating the Task)
  --auto-create-task-props AUTO_CREATE_TASK_PROPS
                        Additional properties of the auto-created Task, in JSON format. See https://apidocs.cloudreactor.io/#operation/api_v1_tasks_create for the
                        schema.
  --force-task-active   Indicates that the auto-created Task should be scheduled and made a service by the API server, if applicable. Otherwise, auto-created
                        Tasks are marked passive.
  --task-execution-uuid TASK_EXECUTION_UUID
                        UUID of Task Execution to attach to
  --task-version-number TASK_VERSION_NUMBER
                        Numeric version of the Task's source code
  --task-version-text TASK_VERSION_TEXT
                        Human readable version of the Task's source code
  --task-version-signature TASK_VERSION_SIGNATURE
                        Version signature of the Task's source code (such as a git commit hash)
  --build-task-execution-uuid BUILD_TASK_EXECUTION_UUID
                        UUID of Task Execution that built this Task's source code
  --deployment-task-execution-uuid DEPLOYMENT_TASK_EXECUTION_UUID
                        UUID of Task Execution that deployed this Task to the Runtime Environment
  --execution-method-props EXECUTION_METHOD_PROPS
                        Additional properties of the execution method, in JSON format. See
                        https://apidocs.cloudreactor.io/#operation/api_v1_task_executions_create for the schema.
  --task-instance-metadata TASK_INSTANCE_METADATA
                        Additional metadata about the Task instance, in JSON format
  -s, --service         Indicate that this is a Task that should run indefinitely
  --schedule SCHEDULE   Run schedule reported to the API server
  --max-concurrency MAX_CONCURRENCY
                        Maximum number of concurrent Task Executions of the same Task. Defaults to 1.
  --max-conflicting-age MAX_CONFLICTING_AGE
                        Maximum age of conflicting Tasks to consider, in seconds. -1 means no limit. Defaults to the heartbeat interval, plus 60 seconds for
                        services that send heartbeats. Otherwise, defaults to no limit.

api:
  API client settings

  --api-base-url API_BASE_URL
                        Base URL of API server. Defaults to https://api.cloudreactor.io
  -k API_KEY, --api-key API_KEY
                        API key. Must have at least the Task access level, or Developer access level for auto-created Tasks.
  --api-heartbeat-interval API_HEARTBEAT_INTERVAL
                        Number of seconds to wait between sending heartbeats to the API server. -1 means to not send heartbeats. Defaults to 30 for concurrency
                        limited services, 300 otherwise.
  --api-error-timeout API_ERROR_TIMEOUT
                        Number of seconds to wait while receiving recoverable errors from the API server. Defaults to 300.
  --api-final-update-timeout API_FINAL_UPDATE_TIMEOUT
                        Number of seconds to wait while receiving recoverable errors from the API server when sending the final update before exiting. Defaults to
                        1800.
  --api-retry-delay API_RETRY_DELAY
                        Number of seconds to wait before retrying an API request. Defaults to 120.
  --api-resume-delay API_RESUME_DELAY
                        Number of seconds to wait before resuming API requests, after retries are exhausted. Defaults to 600. -1 means to never resume.
  --api-task-execution-creation-error-timeout API_TASK_EXECUTION_CREATION_ERROR_TIMEOUT
                        Number of seconds to keep retrying Task Execution creation while receiving error responses from the API server. -1 means to keep trying
                        indefinitely. Defaults to 300.
  --api-task-execution-creation-conflict-timeout API_TASK_EXECUTION_CREATION_CONFLICT_TIMEOUT
                        Number of seconds to keep retrying Task Execution creation while conflict is detected by the API server. -1 means to keep trying
                        indefinitely. Defaults to 1800 for concurrency limited services, 0 otherwise.
  --api-task-execution-creation-conflict-retry-delay API_TASK_EXECUTION_CREATION_CONFLICT_RETRY_DELAY
                        Number of seconds between attempts to retry Task Execution creation after conflict is detected. Defaults to 60 for concurrency-limited
                        services, 120 otherwise.
  --api-request-timeout API_REQUEST_TIMEOUT
                        Timeout for contacting API server, in seconds. Defaults to 30.
  -o, --offline-mode    Do not communicate with or rely on an API server
  -p, --prevent-offline-execution
                        Do not start processes if the API server is unavailable or the wrapper is misconfigured.
  -d DEPLOYMENT, --deployment DEPLOYMENT
                        Deployment name (production, staging, etc.)
  --send-pid            Send the process ID to the API server
  --send-hostname       Send the hostname to the API server
  --no-send-runtime-metadata
                        Do not send metadata about the runtime environment
  --runtime-metadata-refresh-interval RUNTIME_METADATA_REFRESH_INTERVAL
                        Refresh interval for runtime metadata, in seconds. The default value depends on the execution method.

log:
  Logging settings

  -l {DEBUG,INFO,WARNING,ERROR,CRITICAL}, --log-level {DEBUG,INFO,WARNING,ERROR,CRITICAL}
                        Log level
  --log-secrets         Log sensitive information
  --exclude-timestamps-in-log
                        Exclude timestamps in log (possibly because the log stream will be enriched by timestamps automatically by a logging service like AWS
                        CloudWatch Logs)

process:
  Process settings

  -w WORK_DIR, --work-dir WORK_DIR
                        Working directory. Defaults to the current directory.
  -c COMMAND_LINE, --command-line COMMAND_LINE
                        Command line to execute
  --shell-mode {auto,enable,disable}
                        Indicates if the process command should be executed in a shell. Executing in a shell allows shell scripts, commands, and expressions to be
                        used, with the disadvantage that termination signals may not be propagated to child processes. Options are: enable -- Force the command to
                        be executed in a shell; disable -- Force the command to be executed without a shell; auto -- Auto-detect the shell mode by analyzing the
                        command.
  --no-strip-shell-wrapping
                        Do not strip the command-line of shell wrapping like "/bin/sh -c" that can be introduced by Docker when using shell form of ENTRYPOINT and
                        CMD.
  --no-process-group-termination
                        Send termination and kill signals to the wrapped process only, instead of its process group (which is the default). Sending to the process
                        group allows all child processes to receive the signals, even if the wrapped process does not forward signals. However, if your wrapped
                        process manually handles and forwards signals to its child processes, you probably want to send signals to only your wrapped process.
  -t PROCESS_TIMEOUT, --process-timeout PROCESS_TIMEOUT
                        Timeout for process completion, in seconds. -1 means no timeout, which is the default.
  -r PROCESS_MAX_RETRIES, --process-max-retries PROCESS_MAX_RETRIES
                        Maximum number of times to retry failed processes. -1 means to retry forever. Defaults to 0.
  --process-retry-delay PROCESS_RETRY_DELAY
                        Number of seconds to wait before retrying a process. Defaults to 60.
  --process-check-interval PROCESS_CHECK_INTERVAL
                        Number of seconds to wait between checking the status of processes. Defaults to 10.
  --process-termination-grace-period PROCESS_TERMINATION_GRACE_PERIOD
                        Number of seconds to wait after sending SIGTERM to a process, but before killing it with SIGKILL. Defaults to 30.

updates:
  Status update settings

  --enable-status-update-listener
                        Listen for status updates from the process, sent on the status socket port via UDP. If not specified, status update messages will not be
                        read.
  --status-update-socket-port STATUS_UPDATE_SOCKET_PORT
                        The port used to receive status updates from the process. Defaults to 2373.
  --status-update-message-max-bytes STATUS_UPDATE_MESSAGE_MAX_BYTES
                        The maximum number of bytes status update messages can be. Defaults to 65536.
  --status-update-interval STATUS_UPDATE_INTERVAL
                        Minimum of number of seconds to wait between sending status updates to the API server. -1 means to not send status updates except with
                        heartbeats. Defaults to -1.

configuration:
  Environment/configuration resolution settings

  -e ENV_LOCATIONS, --env ENV_LOCATIONS
                        Location of either local file, AWS S3 ARN, or AWS Secrets Manager ARN containing properties used to populate the environment for embedded
                        mode, or the process environment for wrapped mode. By default, the file format is assumed to be dotenv. Specify multiple times to include
                        multiple locations.
  --config CONFIG_LOCATIONS
                        Location of either local file, AWS S3 ARN, or AWS Secrets Manager ARN containing properties used to populate the configuration for
                        embedded mode. By default, the file format is assumed to be in JSON. Specify multiple times to include multiple locations.
  --config-merge-strategy {DEEP,SHALLOW,REPLACE,ADDITIVE,TYPESAFE_REPLACE,TYPESAFE_ADDITIVE}
                        Merge strategy for merging configurations. Defaults to 'DEEP', which does not require mergedeep. Besides the 'SHALLOW' strategy, all other
                        strategies require the mergedeep extra to be installed.
  --overwrite-env-during-resolution
                        Overwrite existing environment variables when resolving them
  --config-ttl CONFIG_TTL
                        Number of seconds to cache resolved environment variables and configuration properties instead of refreshing them when a process restarts.
                        -1 means to never refresh. Defaults to -1.
  --no-fail-fast-config-resolution
                        Continue execution even if an error occurs resolving the configuration
  --resolved-env-var-name-prefix RESOLVED_ENV_VAR_NAME_PREFIX
                        Required prefix for names of environment variables that should resolved. The prefix will be removed in the resolved variable name.
                        Defaults to ''.
  --resolved-env-var-name-suffix RESOLVED_ENV_VAR_NAME_SUFFIX
                        Required suffix for names of environment variables that should resolved. The suffix will be removed in the resolved variable name.
                        Defaults to '_FOR_PROC_WRAPPER_TO_RESOLVE'.
  --resolved-config-property-name-prefix RESOLVED_CONFIG_PROPERTY_NAME_PREFIX
                        Required prefix for names of configuration properties that should resolved. The prefix will be removed in the resolved property name.
                        Defaults to ''.
  --resolved-config-property-name-suffix RESOLVED_CONFIG_PROPERTY_NAME_SUFFIX
                        Required suffix for names of configuration properties that should resolved. The suffix will be removed in the resolved property name.
                        Defaults to '__to_resolve'.
  --env-var-name-for-config ENV_VAR_NAME_FOR_CONFIG
                        The name of the environment variable used to set to the value of the JSON encoded configuration. Defaults to not setting any environment
                        variable.
  --config-property-name-for-env CONFIG_PROPERTY_NAME_FOR_ENV
                        The name of the configuration property used to set to the value of the JSON encoded environment. Defaults to not setting any property.

container:
  Container settings

  --main-container-name MAIN_CONTAINER_NAME
                        The name of the container that is monitored
  --monitor-container-name MONITOR_CONTAINER_NAME
                        The name of the container that will monitor the main container
  --sidecar-container-mode
                        Indicates that the current container is a sidecar container that will monitor the main container

rollbar:
  Rollbar settings

  --rollbar-access-token ROLLBAR_ACCESS_TOKEN
                        Access token for Rollbar (used to report error when communicating with API server)
  --rollbar-retries ROLLBAR_RETRIES
                        Number of retries per Rollbar request. Defaults to 2.
  --rollbar-retry-delay ROLLBAR_RETRY_DELAY
                        Number of seconds to wait before retrying a Rollbar request. Defaults to 120.
  --rollbar-timeout ROLLBAR_TIMEOUT
                        Timeout for contacting Rollbar server, in seconds. Defaults to 30.These environment variables take precedence over command-line arguments:PROC_WRAPPER_TASK_NAMEPROC_WRAPPER_TASK_UUIDPROC_WRAPPER_TASK_EXECUTION_UUIDPROC_WRAPPER_AUTO_CREATE_TASK (TRUE or FALSE)PROC_WRAPPER_AUTO_CREATE_TASK_RUN_ENVIRONMENT_NAMEPROC_WRAPPER_AUTO_CREATE_TASK_RUN_ENVIRONMENT_UUIDPROC_WRAPPER_AUTO_CREATE_TASK_PROPS (JSON encoded property map)PROC_WRAPPER_TASK_IS_PASSIVE (TRUE OR FALSE)PROC_WRAPPER_TASK_IS_SERVICE (TRUE or FALSE)PROC_WRAPPER_EXECUTION_METHOD_PROPS (JSON encoded property map)PROC_WRAPPER_TASK_MAX_CONCURRENCY (set to -1 to indicate no limit)PROC_WRAPPER_PREVENT_OFFLINE_EXECUTION (TRUE or FALSE)PROC_WRAPPER_TASK_VERSION_NUMBERPROC_WRAPPER_TASK_VERSION_TEXTPROC_WRAPPER_TASK_VERSION_SIGNATUREPROC_WRAPPER_TASK_INSTANCE_METADATA (JSON encoded property map)PROC_WRAPPER_LOG_LEVEL (TRACE, DEBUG, INFO, WARNING, ERROR, or CRITICAL)PROC_WRAPPER_LOG_SECRETS (TRUE or FALSE)PROC_WRAPPER_INCLUDE_TIMESTAMPS_IN_LOG (TRUE or FALSE)PROC_WRAPPER_DEPLOYMENTPROC_WRAPPER_API_BASE_URLPROC_WRAPPER_API_KEYPROC_WRAPPER_API_HEARTBEAT_INTERVAL_SECONDSPROC_WRAPPER_API_ERROR_TIMEOUT_SECONDSPROC_WRAPPER_API_RETRY_DELAY_SECONDSPROC_WRAPPER_API_RESUME_DELAY_SECONDSPROC_WRAPPER_API_TASK_EXECUTION_CREATION_ERROR_TIMEOUT_SECONDSPROC_WRAPPER_API_TASK_EXECUTION_CREATION_CONFLICT_TIMEOUT_SECONDSPROC_WRAPPER_API_TASK_EXECUTION_CREATION_CONFLICT_RETRY_DELAY_SECONDSPROC_WRAPPER_API_FINAL_UPDATE_TIMEOUT_SECONDSPROC_WRAPPER_API_REQUEST_TIMEOUT_SECONDSPROC_WRAPPER_ENV_LOCATIONS (comma-separated list of locations)PROC_WRAPPER_CONFIG_LOCATIONS (comma-separated list of locations)PROC_WRAPPER_OVERWRITE_ENV_WITH_SECRETS (TRUE or FALSE)PROC_WRAPPER_RESOLVE_SECRETS (TRUE or FALSE)PROC_WRAPPER_MAX_CONFIG_RESOLUTION_DEPTHPROC_WRAPPER_MAX_CONFIG_RESOLUTION_ITERATIONSPROC_WRAPPER_CONFIG_TTL_SECONDSPROC_WRAPPER_FAIL_FAST_CONFIG_RESOLUTION (TRUE or FALSE)PROC_WRAPPER_RESOLVABLE_ENV_VAR_NAME_PREFIXPROC_WRAPPER_RESOLVABLE_ENV_VAR_NAME_SUFFIXPROC_WRAPPER_RESOLVABLE_CONFIG_PROPERTY_NAME_PREFIXPROC_WRAPPER_RESOLVABLE_CONFIG_PROPERTY_NAME_SUFFIXPROC_WRAPPER_ENV_VAR_NAME_FOR_CONFIGPROC_WRAPPER_CONFIG_PROPERTY_NAME_FOR_ENVPROC_WRAPPER_SEND_PID (TRUE or FALSE)PROC_WRAPPER_SEND_HOSTNAME (TRUE or FALSE)PROC_WRAPPER_SEND_RUNTIME_METADATA (TRUE or FALSE)PROC_WRAPPER_MAX_CONFLICTING_AGE_SECONDSPROC_WRAPPER_TASK_COMMANDPROC_WRAPPER_SHELL_MODE (TRUE or FALSE)PROC_WRAPPER_STRIP_SHELL_WRAPPING (TRUE or FALSE)PROC_WRAPPER_WORK_DIRPROC_WRAPPER_PROCESS_MAX_RETRIESPROC_WRAPPER_PROCESS_TIMEOUT_SECONDSPROC_WRAPPER_PROCESS_RETRY_DELAY_SECONDSPROC_WRAPPER_PROCESS_CHECK_INTERVAL_SECONDSPROC_WRAPPER_PROCESS_TERMINATION_GRACE_PERIOD_SECONDSPROC_WRAPPER_PROCESS_GROUP_TERMINATION (TRUE or FALSE)PROC_WRAPPER_STATUS_UPDATE_SOCKET_PORTPROC_WRAPPER_STATUS_UPDATE_MESSAGE_MAX_BYTESPROC_WRAPPER_ROLLBAR_ACCESS_TOKENPROC_WRAPPER_MAIN_CONTAINER_NAMEPROC_WRAPPER_MONITOR_CONTAINER_NAMEPROC_WRAPPER_SIDECAR_CONTAINER_MODE (TRUE or FALSE)PROC_WRAPPER_ROLLBAR_TIMEOUT_SECONDSPROC_WRAPPER_ROLLBAR_RETRIESPROC_WRAPPER_ROLLBAR_RETRY_DELAY_SECONDSWith the exception of the settings for Secret Fetching and Resolution,
these environment variables are read after Secret Fetching so that they can
come from secret values.The command is executed with the same environment that the wrapper script gets,
except that these properties are copied/overridden:PROC_WRAPPER_DEPLOYMENTPROC_WRAPPER_API_BASE_URLPROC_WRAPPER_API_KEYPROC_WRAPPER_API_ERROR_TIMEOUT_SECONDSPROC_WRAPPER_API_RETRY_DELAY_SECONDSPROC_WRAPPER_API_RESUME_DELAY_SECONDSPROC_WRAPPER_API_REQUEST_TIMEOUT_SECONDSPROC_WRAPPER_ROLLBAR_ACCESS_TOKENPROC_WRAPPER_ROLLBAR_TIMEOUT_SECONDSPROC_WRAPPER_ROLLBAR_RETRIESPROC_WRAPPER_ROLLBAR_RETRY_DELAY_SECONDSPROC_WRAPPER_ROLLBAR_RESUME_DELAY_SECONDSPROC_WRAPPER_TASK_EXECUTION_UUIDPROC_WRAPPER_TASK_UUIDPROC_WRAPPER_TASK_NAMEPROC_WRAPPER_TASK_VERSION_NUMBERPROC_WRAPPER_TASK_VERSION_TEXTPROC_WRAPPER_TASK_VERSION_SIGNATUREPROC_WRAPPER_TASK_INSTANCE_METADATAPROC_WRAPPER_SCHEDULEPROC_WRAPPER_PROCESS_TIMEOUT_SECONDSPROC_WRAPPER_TASK_MAX_CONCURRENCYPROC_WRAPPER_PREVENT_OFFLINE_EXECUTIONPROC_WRAPPER_PROCESS_TERMINATION_GRACE_PERIOD_SECONDSPROC_WRAPPER_ENABLE_STATUS_UPDATE_LISTENERPROC_WRAPPER_STATUS_UPDATE_SOCKET_PORTPROC_WRAPPER_STATUS_UPDATE_INTERVAL_SECONDSPROC_WRAPPER_STATUS_UPDATE_MESSAGE_MAX_BYTESWrapped mode is suitable for running in a shell on your own (virtual) machine
or in a Docker container. It requires multi-process support, as the module
runs at the same time as the command it wraps.In AWS ECS, it is possible to run proc_wrapper in sidecar container that
monitors another (main) container. In that case, proc_wrapper will report the
status and runtime metadata of the main container. The advantage of running
proc_wrapper in a sidecar container is that the main container doesn't need
to be modified to run proc_wrapper. To configure proc_wrapper as a sidecar,
set the main container name and enable sidecar container mode.Embedded modeYou can use embedded mode to execute python code from inside a python program.
Include theproc_wrapperpackage in your python project's
dependencies. To run a task you want to be monitored:from typing import Any, Mapping

from proc_wrapper import ProcWrapper, ProcWrapperParams


def fun(wrapper: ProcWrapper, cbdata: dict[str, int],
        config: Mapping[str, Any]) -> int:
    print(cbdata)
    return cbdata['a']


# This is the function signature of a function invoked by AWS Lambda.
def entrypoint(event: Any, context: Any) -> int:
    params = ProcWrapperParams()
    params.auto_create_task = True

    # If the Task Execution is running in AWS Lambda, CloudReactor can make
    # the associated Task available to run (non-passive) in the CloudReactor
    # dashboard or by API, after the wrapper reports its first execution.
    proc_wrapper_params.task_is_passive = False

    params.task_name = 'embedded_test_production'
    params.auto_create_task_run_environment_name = 'production'

    # For example only, in the real world you would use Secret Fetching;
    # see below.
    params.api_key = 'YOUR_CLOUDREACTOR_API_KEY'

    # In an AWS Lambda environment, passing the context and event allows
    # CloudReactor to monitor and manage this Task.
    proc_wrapper = ProcWrapper(params=params, runtime_context=context,
        input_value=event)

    x = proc_wrapper.managed_call(fun, {'a': 1, 'b': 2})
    # Should print 1
    print(x)

    return xThis is suitable for running in single-threaded environments like
AWS Lambda, or as part of a larger process that executes
sub-routines that should be monitored. Seecloudreactor-python-lambda-quickstartfor an example project that uses proc_wrapper in a function run by AWS Lambda.Embedded mode configurationIn embedded mode, besides setting properties ofProcWrapperParamsin code,ProcWrappercan be also configured in two ways:First, using environment variables, as in wrapped mode.Second, using the configuration dictionary. If the configuration dictionary
contains the keyproc_wrapper_paramsand its value is a dictionary, the
keys and values in the dictionary will be used to to set these attributes inProcWrapperParams:KeyTypeMutableUses Resolved Configlog_secretsboolNoNoenv_locationslist[str]NoNoconfig_locationslist[str]NoNoconfig_merge_strategystrNoNooverwrite_env_during_resolutionboolNoNomax_config_resolution_depthintNoNomax_config_resolution_iterationsintNoNoconfig_ttlintNoNofail_fast_config_resolutionboolNoNoresolved_env_var_name_prefixstrNoNoresolved_env_var_name_suffixstrNoNoresolved_config_property_name_prefixstrNoNoresolved_config_property_name_suffixstrNoNoschedulestrNoYesmax_concurrencyintNoYesmax_conflicting_ageintNoYesoffline_modeboolNoYesprevent_offline_executionboolNoYesserviceboolNoYesdeploymentstrNoYesapi_base_urlstrNoYesapi_heartbeat_intervalintNoYesenable_status_listenerboolNoYesstatus_update_socket_portintNoYesstatus_update_message_max_bytesintNoYesstatus_update_intervalintNoYeslog_levelstrNoYesinclude_timestamps_in_logboolNoYesapi_keystrYesYesapi_request_timeoutintYesYesapi_error_timeoutintYesYesapi_retry_delayintYesYesapi_resume_delayintYesYesapi_task_execution_creation_error_timeoutintYesYesapi_task_execution_creation_conflict_timeoutintYesYesapi_task_execution_creation_conflict_retry_delayintYesYesprocess_timeoutintYesYesprocess_max_retriesintYesYesprocess_retry_delayintYesYescommandlist[str]YesYescommand_linestrYesYesshell_modeboolYesYesstrip_shell_wrappingboolYesYeswork_dirstrYesYesprocess_termination_grace_periodintYesYessend_pidboolYesYessend_hostnameboolYesYessend_runtime_metadataboolYesYesKeys that are marked with "Mutable" -- "No" in the table above can be
overridden when the configuration is reloaded after theconfig_ttlexpires.Keys that are marked as "Uses Resolved Config" -- "Yes" in the table above can
come from the resolved configuration after secret resolution (see below).Secret Fetching and ResolutionA common requirement is that deployed code / images do not contain secrets
internally which could be decompiled. Instead, programs should fetch secrets
from an external source in a secure manner. If your program runs in AWS, it
can make use of AWS's roles that have permission to access data in
Secrets Manager or S3. However, in many scenarios, having your program access
AWS directly has the following disadvantages:Your program becomes coupled to AWS, so it is difficult to run locally or
switch to another infrastructure providerYou need to write code or use a library for each programming language you
use, so secret fetching is done in a non-uniform wayWriting code to merge and parse secrets from different sources is tediousTherefore, proc_wrapper implements Secret Fetching and Resolution to solve
these problems so your programs don't have to. Both usage modes can fetch secrets fromAWS Secrets Manager,
AWS S3, or the local filesystem, and optionally extract embedded data
into the environment or a configuration dictionary. The environment is used to
pass values to processes run in wrapped mode,
while the configuration dictionary is passed to the callback function in
embedded mode.proc_wrapper parses secret location strings that specify the how to resolve
a secret value. Each secret location string has the format:[PROVIDER_CODE:]<Provider specific address>[!FORMAT][|JP:<JSON Path expression>]Secret ProvidersProviders indicate the raw source of the secret data. The table below lists the
supported providers:Provider CodeValue PrefixProviderExample AddressRequired extrasNotesAWS_SMarn:aws:secretsmanager:AWS Secrets Managerarn:aws:secretsmanager:us-east-2:1234567890:secret:configawsCan also include version suffix like-PPrpYAWS_S3arn:aws:s3:::AWS S3 Objectarn:aws:s3:::examplebucket/staging/app1/config.jsonawsFILEfile://Local filefile:///home/appuser/app/.envThe default provider if no provider is auto-detectedENVThe process environmentSOME_TOKENThe name of another environment variableCONFIGThe configuration dictionary$.dbjsonpathJSON path expression to extract the data in the configurationPLAINPlaintext{"user": "postgres", "password": "badpassword"}If you don't specify an explicit provider prefix in a secret location
(e.g.AWS_SM:), the provider can be auto-detected from the address portion
using the Value Prefix. For example the secret locationarn:aws:s3:::examplebucket/staging/app1/config.jsonwill be auto-detected
to with the AWS_S3 provider because it starts witharn:aws:s3:::.Secret FormatsFormats indicate how the raw string data is parsed into a secret value (which may be
a string, number, boolean, dictionary, or array). The table below lists the
supported formats:Format CodeExtensionsMIME typesRequired extrasNotesdotenv.envNonedotenvAlso auto-detected if location includes.env.json.jsonapplication/json,text/x-jsonyaml.yaml,.ymlapplication/x-yaml,application/yaml,text/vnd.yaml,text/yaml,text/x-yamlyamlpyyaml'ssafe_load()is used for securityThe format of a secret value can be auto-detected from the extension or by the
MIME type if available. Otherwise, you may need to an explicit format code
(e.g.!yaml).AWS Secrets Manager / S3 notesboto3is used to fetch secrets when theawsextra is installed. It will try to
access to AWS Secrets Manager or S3 using environment variablesAWS_ACCESS_KEY_IDandAWS_SECRET_ACCESS_KEYif they are set, or use the EC2
instance role, ECS task role, or Lambda execution role if available.For Secrets Manager, you can also use "partial ARNs" (without the hyphened
suffix) as keys. In the example abovearn:aws:secretsmanager:us-east-2:1234567890:secret:configcould be used to fetch the same secret, provided there are no conflicting secret ARNs.
This allows you to get the latest version of the secret.If the secret was stored in Secrets Manager as binary, the
corresponding value will be set to the Base-64 encoded value.If you're deploying a python function using AWS Lambda, note that boto3 is
already included in the available packages, so there's no need to include it
(unless the bundled version isn't compatible). Also we strongly encourage you
to add:logging.getLogger("botocore").setLevel(logging.INFO)to your code if you are using proc_wrapper for secrets resolution. This
prevent secrets from Secrets Manager from being leaked. For details, see thisissue.Secret TranformationFetching secrets can be relatively expensive and it makes sense to group related
secrets together. Therefore it is common to store dictionaries (formatted
as JSON or YAML) as secrets. However, each desired environment variable
or configuration property may only consist of a fragment of the dictionary.
For example, given the JSON-formatted dictionary{
  "username": "postgres",
  "password": "badpassword"
}you may want to populate the environment variableDB_USERNAMEwithpostgres.To facilitate this, dictionary fragments can be extracted to individual
environment variables usingjsonpath-ngwhen thejsonpathextra is installed.
To specify that a variable be extracted from a dictionary using
a JSON Path expression, append|JP:followed by the JSON Path expression
to the secret location string. For example, if the AWS Secrets Manager
ARNarn:aws:secretsmanager:us-east-2:1234567890:secret:db-PPrpYcontains the dictionary above, then the secret location stringarn:aws:secretsmanager:us-east-2:1234567890:secret:db-PPrpY|JP:$.usernamewill resolve topostgresas desired.If you do something similar to get the password from the same JSON value,
proc_wrapper is smart enough to cache the fetched dictionary, so that the
raw data is only fetched once.Since JSON path expressions yield a list of results, the secrets fetcher
implements the following rules to transform the list to the final value:If the list of results has a single value, that value is used as the
final value, unless[*]is appended to the JSON path expression.Otherwise, the final value is the list of resultsFetching from another environment variableIn some deployment scenarios, multiple secrets can be injected into a
single environment variable as a JSON encoded object. In that case,
the module can extract secrets using theENVsecret source. For example,
you may have arranged to have the environment variable DB_CONFIG injected
with the JSON encoded value:{ "username": "postgres", "password": "nohackme" }Then to extract the username to the environment variable DB_USERNAME you
you would add the environment variable DB_USER_FOR_PROC_WRAPPER_TO_RESOLVE
set toENV:DB_CONFIG|JP:$.usernameSecret injection into environment and configurationNow let's use secret location strings to
inject the values into the environment (for wrapped mode)
and/or the the configuration dictionary (for embedded mode). proc_wrapper
supports two methods of secret injection which can be combined together:Top-level fetchingSecrets ResolutionTop-level fetchingTop-level fetching refers to fetching a dictionary that contains multiple secrets
and populating the environment / configuration dictionary with it.
To use top-level fetching, you specify the secret locations
from which you want to fetch the secrets and the corresponding values are
merged together into the environment / configuration.To use top-level fetching in wrapped mode, populate the
environment variablesPROC_WRAPPER_ENV_LOCATIONSwith a comma-separated
list of secret locations, or use the command-line option--env-locations <secret_location>one or more times. Secret location
strings passed in viaPROC_WRAPPER_ENV_LOCATIONSor--env-locationswill be parsed asdotenvfiles unless format is auto-detected or
explicitly specified.To use top-level fetching in embedded mode, set theProcWrapperParamspropertyconfig_locationsto a list of secret locations. Alternatively, you can set
the environment variablePROC_WRAPPER_CONFIG_LOCATIONSto a comma-separated
list, and this will be picked up automatically. Secret location values
will be parsed as JSON unless the format is auto-detected or explicitly
specified. Theconfigargument
passed to the your callback function will contain a merged dictionary of all
fetched and parsed dictionary values. For example:def callback(wrapper: ProcWrapper, cbdata: str,
        config: Dict[str, Any]) -> str:
    return "super" + cbdata + config["username"]


def main():
    params = ProcWrapperParams()

    # Optional: you can set an initial configuration dictionary which will
    # have its values included in the final configuration unless overridden.
    params.initial_config = {
        "log_level": "DEBUG"
    }

    # You can omit this if you set PROC_WRAPPER_CONFIG_LOCATIONS environment
    # variable to the same ARN
    params.config_locations = [
        "arn:aws:secretsmanager:us-east-2:1234567890:secret:db-PPrpY",
        # More secret locations can be added here, and their values will
        # be merged
    ]

    wrapper = ProcWrapper(params=params)

    # Returns "superduperpostgres"
    return wrapper.managed_call(callback, "duper")Merging SecretsTop-level fetching can potentially fetch multiple dictionaries which are
merged together in the final environment / configuration dictionary.
The default merge strategy (DEEP) merges recursively, even dictionaries
in lists. TheSHALLOWmerge strategy just overwrites top-level keys, with later
secret locations taking precedence. However, if you install themergedeeplibrary with themergedeepextra, you can also set the merge strategy to one of:REPLACEADDITIVETYPESAFE_REPLACETYPESAFE_ADDITIVEso that nested lists can be appended to instead of replaced (in the case of theADDITIVEstrategies), or errors will be raised if incompatibly-typed values
are merged (in the case of theTYPESAFEstrategies). In wrapped mode,
the merge strategy can be set with the--config-merge-strategycommand-line
argument orPROC_WRAPPER_CONFIG_MERGE_STRATEGYenvironment variable. In
embedded mode, the merge strategy can be set in theconfig_merge_strategystring property ofProcWrapperParams.Secret ResolutionSecret Resolution substitutes configuration or environment values that are
secret location strings with the computed values of those strings. Compared
to Secret Fetching, Secret Resolution is more useful when you want more
control over the names of variables or when you have secret values deep
inside your configuration.In wrapped mode, if you want to set the environment variableMY_SECRETwith
a value fetched
from AWS Secrets Manager, you would set the environment variableMY_SECRET_FOR_PROC_WRAPPER_TO_RESOLVEto a secret location string
which is ARN of the secret, for example:arn:aws:secretsmanager:us-east-2:1234567890:secret:db-PPrpY(The_FOR_PROC_WRAPPER_TO_RESOLVEsuffix of environment variable names is
removed during resolution. It can also be configured with thePROC_WRAPPER_RESOLVABLE_ENV_VAR_NAME_SUFFIXenvironment variable.)In embedded mode, if you want the final configuration dictionary to look like:{
  "db_username": "postgres",
  "db_password": "badpassword",
  ...
}The initial configuration dictionary would look like:{
  "db_username__to_resolve": "arn:aws:secretsmanager:us-east-2:1234567890:secret:db-PPrpY|JP:$.username",
  "db_password__to_resolve": "arn:aws:secretsmanager:us-east-2:1234567890:secret:db-PPrpY|JP:$.password",

  ...
}(The__to_resolvesuffix (with 2 underscores!) of keys is removed during
resolution. It can also be configured with theresolved_config_property_name_suffixproperty ofProcWrapperParams.)proc_wrapper can also resolve keys in embedded dictionaries, like:{
  "db": {
    "username__to_resolve": "arn:aws:secretsmanager:us-east-2:1234567890:secret:config-PPrpY|JP:$.username",
    "password__to_resolve":
    "arn:aws:secretsmanager:us-east-2:1234567890:secret:config-PPrpY|JP:$.password",
    ...
  },
  ...
}up to a maximum depth that you can control withProcWrapperParams.max_config_resolution_depth(which defaults to 5). That would resolve to{
  "db": {
    "username": "postgres",
    "password": "badpassword"
    ...
  },
  ...
}You can also inject entire dictionaries, like:{
  "db__to_resolve": "arn:aws:secretsmanager:us-east-2:1234567890:secret:config-PPrpY",
  ...
}which would resolve to{
  "db": {
    "username": "postgres",
    "password": "badpassword"
  },
  ...
}To enable secret resolution in wrapped mode, set environment variablePROC_WRAPPER_RESOLVE_SECRETStoTRUE. In embedded mode, secret
resolution is enabled by default; set themax_config_resolution_iterationsproperty ofProcWrapperParamsto0to disable resolution.Secret resolution is run multiple times so that if a resolved value contains
a secret location string, it will be resolved on the next pass. By default,
proc_wrapper limits the maximum number of resolution passes to 3 but you
can control this with the environment variablePROC_WRAPPER_MAX_CONFIG_RESOLUTION_ITERATIONSin embedded mode,
or by setting themax_config_resolution_iterationsproperty ofProcWrapperParamsin wrapped mode.Environment ProjectionDuring secret fetching and secret resolution, proc_wrapper internally maintains
the computed environment as a dictionary which may have embedded lists and
dictionaries. However, the final environment passed to the process is a flat
dictionary containing only string values. So proc_wrapper converts
all top-level values to strings using these rules:Lists and dictionaries are converted to their JSON-encoded string valueBoolean values are converted to their upper-cased string representation
(e.g. the stringFALSEfor the boolean valuefalse)TheNonevalue is converted to the empty stringAll other values are converted using python'sstr()functionSecrets RefreshingYou can set a Time to Live (TTL) on the duration that secret values are cached.
Caching helps reduce expensive lookups of secrets and bandwidth usage.In wrapped mode, set the TTL of environment variables set from secret locations
using the--config-ttlcommand-line argument orPROC_WRAPPER_CONFIG_TTL_SECONDSenvironment variable.
If the process exits, you have configured the script to retry,
and the TTL has expired since the last fetch,
proc_wrapper will re-fetch the secrets
and resolve them again, for the environment passed to the next invocation of
your process.In embedded mode, set the TTL of configuration dictionary values set from
secret locations by setting theconfig_ttlproperty ofProcWrapperParams. If 1) your callback function raises an exception, 2) you have
configured the script to retry; and 3) the TTL has expired since the last fetch,
proc_wrapper will re-fetch the secrets
and resolve them again, for the configuration passed to the next invocation of
the callback function.Status UpdatesStatus Updates in Wrapped ModeWhile your process in running, you can send status updates to
CloudReactor by using the StatusUpdater class. Status updates are shown in
the CloudReactor dashboard and allow you to track the current progress of a
Task and also how many items are being processed in multiple executions
over time.In wrapped mode, your application code would send updates to the
proc_wrapper program via UDP port 2373 (configurable with the PROC_WRAPPER_STATUS_UPDATE_PORT environment variable).
If your application code is in python, you can use the provided
StatusUpdater class to do this:from proc_wrapper import StatusUpdater

with StatusUpdater() as updater:
    updater.send_update(last_status_message="Starting ...")
    success_count = 0

    for i in range(100):
        try:
            do_work()
            success_count += 1
            updater.send_update(success_count=success_count)
        except Exception:
            failed_count += 1
            updater.send_update(failed_count=failed_count)

    updater.send_update(last_status_message="Finished!")Status Updates in Embedded ModeIn embedded mode, your callback in python code can use the wrapper instance to
send updates:from typing import Any, Mapping

import proc_wrapper
from proc_wrapper import ProcWrapper

def fun(wrapper: ProcWrapper, cbdata: dict[str, int],
        config: Mapping[str, Any]) -> int:
    wrapper.update_status(last_status_message="Starting the fun ...")

    success_count = 0
    error_count = 0
    for i in range(100):
        try:
            do_work()
            success_count += 1
        except Exception:

            error_count += 1
        wrapper.update_status(success_count=success_count,
                error_count=error_count)

    wrapper.update_status(last_status_message="The fun is over.")

    return cbdata["a"]

params = ProcWrapperParams()
params.auto_create_task = True
params.auto_create_task_run_environment_name = "production"
params.task_name = "embedded_test"
params.api_key = "YOUR_CLOUDREACTOR_API_KEY"

proc_wrapper = ProcWrapper(params=params)
proc_wrapper.managed_call(fun, {"a": 1, "b": 2})Example ProjectsThese projects contain sample Tasks that use this library to report their
execution status and results to CloudReactorcloudreactor-python-ecs-quickstartruns python code in a Docker container in AWS ECS Fargate (wrapped mode)cloudreactor-python-lambda-quickstartruns python code in AWS Lambda (embedded mode)cloudreactor-java-ecs-quickstartruns Java code in a Docker container in AWS ECS Fargate (wrapped mode)aws-otel-collector-cloudreactorenhances the AWS OTEL collector to report execution status to CloudReactor, and
can be used as a sidecar container so that the main container doesn't need to
run proc_wrapper.LicenseThis software is dual-licensed under open source (MPL 2.0) and commercial
licenses. SeeLICENSEfor details.Contributors ✨Thanks goes to these wonderful people (emoji key):Jeff Tsay💻📖🚇🚧Mike Waldner💻Bruno Alla💻🤔📖This project follows theall-contributorsspecification. Contributions of any kind welcome!CreditsThis package was created withCookiecutterand thebrowniebroke/cookiecutter-pypackageproject template.