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It is\nintended to be an example of how to use the SignalFlow analytics language part \nof the ``signalfx-python`` library.\n\nInstallation\n------------\n\nTo install, along with the required dependencies, simply use ``pip``:\n\n.. code::\n\n    $ pip install git+https://github.com/signalfx/signalflow-cli\n\nDemo\n----\n\n|demo|\n\n.. |demo| image:: https://asciinema.org/a/8g5vaxyjakol8onretxdqbfgv.png\n         :target: https://asciinema.org/a/8g5vaxyjakol8onretxdqbfgv\n\nUsage\n-----\n\nThe ``signalflow`` command-line tool supports both interactive and\nnon-interactive operation modes. In interactive mode, it offers a prompt that\nallows for setting computation parameters and executing SignalFlow programs\nwhile visualizing their streaming output in real-time. The default display\nshows the live data, with a spark line of the last 10 values, for each received\ntime series. CSV output and graph output can also be optained by setting the\n`.output` parameter (see below \"Interactive mode usage\").\n\nIn non-interactive mode, ``signalflow`` reads the SignalFlow program text\n(either from stdin or from a file) and outputs the results the format specified\nby the ``--output`` command-line flag. By default, this uses the same live data\ndisplay as the interactive prompt. The available output modes are:\n\n- ``csv``; outputs the data in CSV format. The first column is a millisecond\n  timestamp; other columns contain the value of each output time series for\n  each of those times.\n\n  This output will keep streaming unless a fixed stopped time has been\n  specified (which can be either in the past or in the future).\n\n- ``graph``; generates CSV data and renders it as a graph in a window.\n\n- ``live``; shows the same live display as in interactive mode, just without\n  the prompt around it. Computation parameters should be set via the\n  appropriate command-line flags as necessary.\n\n\nFinally, the graphing can also be used from the provided standalone utility\n``csv-to-plot``, which reads CSV data from a file (or stdin) and renders the\ngraph. Using ``--output graph`` is the same as piping the output of ``--output\ncsv`` into ``csv-to-plot``:\n\n.. code::\n\n    $ signalflow --start=-15m --stop=-1m --output=graph < program.txt\n    $ signalflow --start=-15m --stop=-1m --output=csv < program.txt | csv-to-plot\n\nInteractive mode usage\n^^^^^^^^^^^^^^^^^^^^^^\n\n.. code::\n\n    $ signalflow\n\nThe client will first ask you to enter your SignalFx credentials to obtain a\nsession token. If you want to avoid this everytime you use the client, write\nyour session token in `~/.sftoken`. See \"Obtaining your token\" below for\ndetails.\n\nAfter a greeting header, you should see the prompt ``->``. You can then enter\na SignalFlow program (even across multiple lines) and press ``<Esc><Enter>`` to\nexecute the program and visualize the results. Press ``^C`` at any time to\ninterrupt the stream, and again to exit the client.\n\nComputation parameters can be listed with the ``.`` command:\n\n.. code::\n\n    -> .\n    {'max_delay': None,\n     'output': 'live',\n     'resolution': None,\n     'start': '-1m',\n     'stop': None}\n\nYou can change one of those values with ``.<parameter> <value>``:\n\n.. code::\n\n    -> .start -15m\n    -> .stop -1m\n    -> .\n    {'max_delay': None,\n     'output': 'live',\n     'resolution': None,\n     'start': '-15m',\n     'stop': '-1m'}\n\nTo reset a parameter to ``None`` (which usually means \"auto\"), use\n``.<parameter>``:\n\n.. code::\n\n    -> .stop\n    -> .\n    {'max_delay': None,\n     'output': 'live',\n     'resolution': None,\n     'start': '-15m',\n     'stop': None}\n\nShebang\n^^^^^^^\n\nWhen calling the client with the ``-x`` flag, the client will read the given\nfile as the input program and execute it directly. This allows for writing\nself-executable SignalFlow files that use a shebang to execute using the\nSignalFlow CLI client:\n\n.. code::\n\n    #!signalflow -x\n    data('cpu.utilization').mean().publish()\n\nObtaining your token\n--------------------\n\nTo obtain a session token, simply authenticate against the SignalFx API's\n``/v2/session`` endpoint as described in the API documentation:\nhttps://developers.signalfx.com/docs/session. Place the value of the\n`sf_accessToken` field in a file named `.sftoken` in your home directory. If\nyou don't have this file, or don't use the ``--token`` parameter, the\nSignalFlow CLI will prompt for your username and password and obtain a token\nfor you.\n\n\n",
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