Metadata-Version: 2.1
Name: cognicept-shell
Version: 1.3.2
Summary: Shell utility to configure Cognicept tools.
Home-page: https://cognicept.systems
Author: Jakub Tomasek
License: Apache License 2.0
Description: [![Build Status](https://jenkins.cognicept.systems/buildStatus/icon?job=cognicept-shell-pipeline)](https://jenkins.cognicept.systems/job/cognicept-shell-pipeline/)
        
        
        # COGNICEPT SHELL #
        
        This is a shell utility to manage Cognicept tools.
        
          * [Installation](#installation)
            + [Dependencies](#dependencies)
            + [Package installation](#package-installation)
          * [Usage](#usage)
            + [Commands](#commands)
          * [Building](#building)
            + [Tests](#tests)
            + [Build](#build)
            + [Upload](#upload)
          * [Contribution](#contribution)
          * [Version history](#version-history)
        
        ## Installation
        
        ### Dependencies
        
        You need:
        
        * Python 3
        * Python 3 PIP
        * `openssh-server` : (Optional) in order to enable terminal function for Kriya
        
        Install:
        
        ```
        sudo apt-get install python3 python3-pip
        ```
        
        ### Package installation
        
        To install the package locally, run:
        
        ```
        pip3 install -e <path-to-the-repo>
        ```
        
        To install from Python Package Index (PyPI), run:
        
        ```
        pip3 install cognicept-shell
        ```
        
        To verify installation, try to run
        
        ```
        cognicept -h
        ```
        
        If you get `cognicept: command not found` error, make sure that `~/.local/bin/` is in your `$PATH`. You could run this:
        
        ```
        export PATH=$PATH:/home/$USER/.local/bin/
        ```
        and add it to your `.bashrc` file.
        
        ### Autocomplete
        
        To set-up autcomplete when using the cognicept shell, run:
        
        ```
        cognicept config --autocomplete
        ```
        Restart the terminal and autocomplete should be functioning
        
        This will setup python argcomplete globally and may affect other packages. If argcomplete has been setup globally for other project, this setup is not required.
        
        This command essentially calls the function `activate-global-python-argcomplete`
        
        More information about this can be found in https://pypi.org/project/argcomplete/#activating-global-completion
        
        ## Usage
        
        For details on usage, use
        
        ```
        cognicept -h
        ```
        
        ### Commands
        
        #### `config`: Configure Cognicept tools
        
        `cognicept-shell` and Cognicept agents are configured in `runtime.env` file typically placed in `~/.cognicept/runtime.env`. The file defines the docker environment used by the Cognicept agents. 
        
        This command allows to inspect and modify the configuration file. You can use parameter `--path` to modify the path to the Cognicept config directory.
        
        To print full configuration, run:
        
        ```
        cognicept config --read
        ```
        
        To add new configuration parameter (or modify single value), run:
        
        ```
        cognicept config --add
        ```
        
        Variables used by `cognicept-shell`:
        
        * `COGNICEPT_ACCESS_KEY`
        * `COGNICEPT_API_URI`
        * `COGNICEPT_USER_API_URI`
        * `COG_AGENT_CONTAINERS`
        * `COG_AGENT_IMAGES`
        * `COG_EXTRA_IMAGES` : images to pull from Cognicept and general docker image repositories
        * `COG_ORBITTY_ENABLED`
        * `COG_ORBITTY_IMAGE`
        * `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_SESSION_TOKEN`: temporary AWS credentials modified by `keyrotate` and needed for `update`
        * `COG_ENABLE_SSH`
        * `COG_ENABLE_SSH_KEY_AUTH`
        * `COG_ENABLE_AUTOMATIC_SSH`
        * `COG_SSH_DEFAULT_USER`
        
        To setup `ssh` access from `remote_intervention_agent` to the host machine, run:
        
        ```
        cognicept config --ssh
        ```
        
        It will generate ssh keys in `~/.cognicept/ssh/` and configures `COG_ENABLE_SSH`, `COG_ENABLE_SSH_KEY_AUTH`, `COG_ENABLE_AUTOMATIC_SSH`, `COG_SSH_DEFAULT_USER` according to the user preferences. If `COG_ENABLE_AUTOMATIC_SSH` is enabled, public key is copied into `~/.ssh/authorized_hosts`; `sudo` access is requested to perform this action.
        
        #### `status`: Get status of Cognicept agents
        
        ```
        cognicept status
        ```
        Prints status of agents and other containers managed by `cognicept-shell`. Possible values:
        
        * "ONLINE": Everything fine
        * "CONTAINER NOT FOUND": Agent/container is not initiated
        * "OFFLINE": Container stopped
        * "Error": Error accessing API
        * "ERROR": Detected error, needs inspection
        * "NOT INITIALIZED": Agent is in init state
        * "STALE": Agent didn't update within last minute   
        
        #### `update`: Update Cognicept tools
        
        Updates images for agents and tools specified in `COG_AGENT_IMAGES` and `COG_EXTRA_IMAGES` config variables. It requires temporary credentials to be valid. For updates to take effect, containers need to be restarted with `restart` command.
        
        
        To run update in detached mode:
        ```
        cognicept update -d
        ```
        In detached mode, printing of update statuses in muted. Update is run in a seperate process. Update will continue to run even if terminal session is closed.
        #### `lastevent`: Display last event log reported by Cognicept agent
        
        Displays last event saved by `cgs_diagnostics_agent` from `~/.cognicept/logs`.
        
        #### `start`/`stop`/`restart`: start/stop/restart cognicept agents
        
        These commands are used to start/stop/restart containers specified in `COG_AGENT_CONTAINERS`/`COG_AGENT_IMAGES`. Certain container names are reserved for Cognicept agents and are preconfigured:
        
        * `cgs_diagnostics_agent`
        * `remote_intervention_agent`
        * `kriya_watchdog`
        * `cgs_diagnostics_ecs_api`
        * `cgs_diagnostics_streamer_api`
        * `cgs_bagger_server`
        
        Any agent name or image type can be put in the list as long as default command for the image is specified. All containers are started in `host` network mode.
        
        Following are examples for using `start`. `stop` follows same API as `start`. `restart` first calls `stop` and then `stop` .
        
        To start all listed agents `COG_AGENT_CONTAINERS` don't specify any argument:
        
        ```
        cognicept start
        ```
        
        To start all agents:
        
        ```
        cognicept start --agents
        ```
        
        To start specific agents:
        
        ```
        cognicept start remote_intervention_agent cgs_diagnostics_agent
        ```
        
        To run restart in detached mode:
        
        ```
        cognicept restart -d
        ```
        
        Detached mode is particularly useful for restarting a cognicept agent remotely. 
        In detached mode, progress of restart will not printed. 
        #### `keyrotate`: Rotate Cognicept cloud keys
        
        Updates temporary AWS credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_SESSION_TOKEN`) using `COGNICEPT_ACCESS_KEY` from `COGNICEPT_API_URI`. The validity of the credentials is 12 hours. Internet access with HTTPS allowed is needed.
        
        #### `orbitty`: Run Orbitty
        
        TODO
        
        #### `record`: Manage rosbag recording session to start/stop/pause/resume/get status/record all topics
        
        These commands are used to start/stop/pause/resume/get status/record all topics in a rosbag. All the operations are done by running an `exec` command inside the `cgs_bagger_server` container. All bags are typically placed in the `bags` folder of the Cognicept configuration directory: `~/.cognicept/bags/`
        
        To start start a recording session list all topics to be recorded separated by a space and with their `/` prefix:
        
        ```
        cognicept record --start /odom /cmd_vel /rosout_agg /tf /tf_static
        ```
        
        To record ALL topics use `--all`:
        
        **NOTE:** rosbags tend to become quite big quite fast especially if there are camera topics. If there is less than 1 GB disk space, the recording self terminates.
        
        ```
        cognicept record --all
        ```
        
        To stop a recording session:
        
        ```
        cognicept record --stop
        ```
        
        Alternatively, the latest bag recording can be stopped and automatically pushed to the Cognicept cloud with a single command by providing `autopush` value:
        
        ```
        cognicept record --stop autopush
        ```
        
        To pause a recording session:
        
        ```
        cognicept record --pause
        ```
        
        To resume a recording session:
        
        ```
        cognicept record --resume
        ```
        
        To get the status of the current recording:
        
        ```
        cognicept record --status
        ```
        
        Status can be `Ready`, `Started`, `Stopped`, `Paused` and `Resumed`.
        
        **NOTE:** A note on the retry mechanisms built in to improve reliability. If the retry mechanism fails, both `cognicept record --start` and `cognicept record --all` will automatically restart the `cgs_bagger_server`. A new recording session needs to be started if this happens. All other commands will just inform that the retry has failed since these are not essential operations for bag recording.
        
        #### `push`: Push data to Cognicept cloud
        
        These commands are used to push data on to the Cognicept cloud.
        
        To push a bag file, specify the name of the bag file:
        
        ```
        cognicept push --bag sample_recording.bag
        ```
        **NOTE:** Only bags in the dedicated Cognicept configuration `bags` directory, usually `~/.cognicept/bags`, will be detected and uploaded. Bag files in any other location need to be moved to this directory before upload. Bag files generated using the `cognicept record` feature will be automatically placed in the Cognicept configuration `bags` directory.
        
        As a shorthand, you can push the latest bag file recording by not specifying any argument. This will automatically look for the latest bag file by create time and upload it:
        ```
        cognicept push --bag
        ```
        
        #### `init`: Initiates the runtime.env file with values from the COGNICEPT_USER_API_URI
        To initiate a runtime.env file, specify the robot id and organisation id and then provide credentials when prompted
        
        ```
        cognicept init --robot_id sample_robot --org_id sample_org
        Username: sample_username
        Password: sample_password (masked)
        ```
        
        ## Building
        
        
        ### Tests
        
        `cognicept-shell` is using `pytest` as the test framework. Make sure you install manually:
        
        ```
        pip3 install pytest pytest-cov cli_test_helpers mock
        ```
        
        To run tests, execute:
        
        ```
        pytest --cov=cogniceptshell tests
        ```
        
        Output will look like this:
        
        ```
        user@computer:~/cognicept-shell$ pytest --cov=cogniceptshell tests
        ============================= test session starts ==============================
        platform linux -- Python 3.8.5, pytest-5.4.3, py-1.9.0, pluggy-0.13.1
        rootdir: /home/jakub/code/cognicept-shell
        plugins: cov-2.10.0
        collected 50 items                                                             
        
        tests/functional/test_config.py ........s                                [ 18%]
        tests/functional/test_push.py ..........                                 [ 38%]
        tests/functional/test_record.py ..........                               [ 58%]
        tests/unit/test_config.py ....                                           [ 66%]
        tests/unit/test_keyrotate.py ...                                         [ 72%]
        tests/unit/test_lifecycle.py ..............                              [100%]
        
        ----------- coverage: platform linux, python 3.8.5-final-0 -----------
        Name                                 Stmts   Miss  Cover
        --------------------------------------------------------
        cogniceptshell/__init__.py               2      0   100%
        cogniceptshell/agent_life_cycle.py     319    117    63%
        cogniceptshell/common.py                15      5    67%
        cogniceptshell/configuration.py        189     53    72%
        cogniceptshell/interface.py             79      2    97%
        cogniceptshell/pusher.py               104     11    89%
        cogniceptshell/rosbag_record.py         90     13    86%
        --------------------------------------------------------
        TOTAL                                  798    201    75%
        
        
        ======================== 49 passed, 1 skipped in 28.59s ========================
        ```
        
        ### Build
        
        To build the PyPI package, run:
        
        ```
        python3 setup.py sdist bdist_wheel
        ```
        
        This will generate the build files. 
        
        ### Upload
        
        To upload the dev package, run:
        
        ```
        python3 -m twine upload --repository testpypi dist/* --verbose
        ```
        
        To upload the prod package, run:
        
        ```
        python3 -m twine upload dist/* --verbose
        ```
        
        ## Contribution
        
        Please follow [the successful branching model](https://nvie.com/posts/a-successful-git-branching-model/). The naming of branches follows:
        
        * Feature branch: /feature/name-of-the-feature
        * Bug fix branch: /fix/name-of-the-bug
        * Release branch: /release/name-of-the-release
        
        
        ## Version history
        * 1.3 [21/10/2021]
            * Autocomplete for basic commands and agent names
        * 1.2 [29/6/2021]
            * Revamp credentials for AWS
            * Added robot init command
            * Revamped CI/CD
            * Added detached update/restart
            * Removed datadog integration
            * Added kriya watchdog run configuration
            * Added handling of the docker permission error 
            * Added run configuration to support bunch reporting
        * 1.1 []
            * Limit agent logs to 5MB
        
        * 1.0.3 []
            * Change for cognicept update command to fetch cloud credentials from cognicept backend
        
        * 1.0 [15/12/2020]
            * Added `start` command
            * Start/Stop/Restart agents separately as parameter of command
            * Migrated to new credential management using `COGNICEPT_ACCESS_KEY` 
            * Added `keyrotate` command
            * Added unit and functional tests
            * Added `record` and `push` commands for management of rosbags
            * Added support for Python 3.5
            * Added `lastevent` command to read last event 
            * Added ssh configuration for `remote_intervention_agent`
        
        * 0.1 [10/6/2020]
            * First version of the CLI utility able to configure, restart, and update agents 
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
