Update README.md
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@ -6,7 +6,6 @@ Runs on files produced by [sf-daq](https://github.com/paulscherrerinstitute/sf_d
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# Table of Contents
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* [Installation](#installation)
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* [Configuration files](#config)
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* [Google Authentication](#google-api)
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* [Usage](#usage)
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* [Before beamtime](#usage1)
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@ -16,6 +15,7 @@ Runs on files produced by [sf-daq](https://github.com/paulscherrerinstitute/sf_d
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* [data re-processing](#usage2_reprocess)
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* [pausing indexing](#usage2_pause)
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* [After beamtime](#usage3)
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* [Configuration files](#config)
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## Description
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Automatic Processing tool checks for the new files/runs produced by sf-daq and runs automatically workload (currently - indexing (by crystfel)) and fills logbook (google spreadsheet) with information with some daq parameters from the sf-daq and processing.
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## Installation<a name="installation"></a>
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### Pre-installed software (recommended)
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Automatic Processing tool is installed in /sf/jungfrau/applications/ap place and it's recommended to use if from that place (all examples below will be using that tool place).
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Automatic Processing tool is installed in **/sf/jungfrau/applications/ap** place and it's recommended to use if from that place (all examples below will be using that tool place).
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Installed conda environment can be activated with
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```
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@ -32,10 +32,13 @@ $ conda activate ap
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```
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### Installation from source
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Automatic Processing tool can also be installed from scratch with:
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Automatic Processing tool can also be installed from scratch (put this to the place which is accessible from online computing nodes. res/ directory of corresponding pgroup is perfect place for this):
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```
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$ git clone https://gitlab.psi.ch/sf-daq/ap.git # or via ssh with
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# git clone git@gitlab.psi.ch:sf-daq/ap.git
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```
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Needed conda environment can be sourced/used from the common place. In case new conda environment is needed, please do (and don't use res/ for this purpose):
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```
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$ conda create -n ap gspread numpy matplotlib
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$ conda activate ap
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```
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