list basic command line options in readme files

README.rst

@@ -5,11 +5,21 @@ OpenRefine Python Client Library
 The OpenRefine Python Client Library provides an interface to
 communicating with an `OpenRefine <http://openrefine.org/>`_ server.
 
-If you are looking for a command line interface to OpenRefine then you might be interested in the docker variation of this library:
+If you are looking for a ready to use command line interface to OpenRefine then you might be interested in the docker variation of this library:
 `felixlohmeier/openrefine-client <https://hub.docker.com/r/felixlohmeier/openrefine-client/>`_. You will find examples for batch processing (e.g. for usage in shell scripts) there.
 
 If you are familiar with python and want to go into more depth, then read on!
 
+Features
+=============
+
+Command line interface:
+
+- list projects: refine.py --list
+- create project from file: refine.py --create [FILE] [PROJECTID]
+- apply rules from json file: refine.py --apply [FILE.json] [PROJECTID]
+- export project to file: refine.py --export [PROJECTID] --output=FILE.tsv
+
 Currently, the following API is supported:
 
 - project creation/import, deletion, export

docker/README.md

@@ -5,13 +5,18 @@ There are some client libraries for OpenRefine that communicate with the [OpenRe
 ### basic usage
 
 1) start server:
-> docker run -d --name=openrefine-server felixlohmeier/openrefine
+```docker run -d --name=openrefine-server felixlohmeier/openrefine```
 
-2) start client (prints help screen):
+2) run client with one of the following commands:
-> docker run --rm --link openrefine-server felixlohmeier/openrefine-client
+
+- list projects: ```docker run --rm --link openrefine-server felixlohmeier/openrefine-client --list```
+- create project from file: ```docker run --rm --link openrefine-server felixlohmeier/openrefine-client --create [FILE] [PROJECTID]```
+- apply rules from json file: ```docker run --rm --link openrefine-server felixlohmeier/openrefine-client --apply [FILE.json] [PROJECTID]```
+- export project to file: ```docker run --rm --link openrefine-server felixlohmeier/openrefine-client --export [PROJECTID] --output=FILE.tsv```
+- check help screen for more options: ```docker run --rm --link openrefine-server felixlohmeier/openrefine-client --help```
 
 3) cleanup:
-> docker stop openrefine-server && docker rm openrefine-server
+```docker stop openrefine-server && docker rm openrefine-server```
 
 ### example for customized run commands in interactive mode (e.g. for usage in terminals)
 
@@ -50,7 +55,7 @@ There are some client libraries for OpenRefine that communicate with the [OpenRe
 
 3) create project (import file)
 
-```docker run --rm --link openrefine-server -v ${workingdir}:/data:z felixlohmeier/openrefine-client -c $inputfile```
+```docker run --rm --link openrefine-server -v ${workingdir}:/data:z felixlohmeier/openrefine-client --create $inputfile```
 
 4) get project id
 
@@ -58,11 +63,11 @@ There are some client libraries for OpenRefine that communicate with the [OpenRe
 
 5) apply transformations from json file
 
-```docker run --rm --link openrefine-server -v ${workingdir}:/data felixlohmeier/openrefine-client -f ${jsonfile} ${project}```
+```docker run --rm --link openrefine-server -v ${workingdir}:/data felixlohmeier/openrefine-client --apply ${jsonfile} ${project}```
 
 6) export project to file
 
-```docker run --rm --link openrefine-server -v ${workingdir}:/data felixlohmeier/openrefine-client -E --output=${project}.tsv ${project}```
+```docker run --rm --link openrefine-server -v ${workingdir}:/data felixlohmeier/openrefine-client --export --output=${project}.tsv ${project}```
 
 7) cleanup