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Implement docsrv
Signed-off-by: David Pordomingo <David.Pordomingo.F@gmail.com>
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17
Makefile
17
Makefile
@ -6,16 +6,23 @@ COMMANDS = cli/enry
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MAKEFILE = Makefile.main
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CI_REPOSITORY = https://github.com/src-d/ci.git
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CI_FOLDER = .ci
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# If you need to build more than one dockerfile, you can do so like this:
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# DOCKERFILES = Dockerfile_filename1:repositoryname1 Dockerfile_filename2:repositoryname2 ...
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$(MAKEFILE):
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@git clone --quiet $(CI_REPOSITORY) $(CI_FOLDER); \
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cp $(CI_FOLDER)/$(MAKEFILE) .;
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-include $(MAKEFILE)
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# Docsrv: configure the languages whose api-doc can be auto generated
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LANGUAGES = go
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# Docsrv: configure the directory containing the python sources
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PYTHON_MAIN_DIR ?= ./python
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# Docs: do not edit this
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DOCS_REPOSITORY := https://github.com/src-d/docs
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SHARED_PATH ?= $(shell pwd)/.shared
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DOCS_PATH ?= $(SHARED_PATH)/.docs
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$(DOCS_PATH)/Makefile.inc:
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git clone --quiet --depth 1 $(DOCS_REPOSITORY) $(DOCS_PATH);
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-include $(DOCS_PATH)/Makefile.inc
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LINGUIST_PATH = .linguist
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# build CLI
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@ -120,7 +120,7 @@ Note that even if enry's CLI is compatible with linguist's, its main point is th
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Java bindings
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------------
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Generated Java binidings using a C shared library + JNI are located under [`java`](java)
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Generated Java binidings using a C shared library + JNI are located under [`java`](https://github.com/src-d/enry/blob/master/java)
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Development
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------------
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@ -141,7 +141,7 @@ So we update the generated code as needed, without any specific criteria.
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If you want to update *enry* because of changes in linguist, you can run the *go
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generate* command and do a pull request that only contains the changes in
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generated files (those files in the subdirectory [data](data)).
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generated files (those files in the subdirectory [data](https://github.com/src-d/enry/blob/master/data)).
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To run the tests,
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@ -185,7 +185,7 @@ We found some few cases where enry turns slower than linguist. This is due to
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Golang's regexp engine being slower than Ruby's, which uses the [oniguruma](https://github.com/kkos/oniguruma) library, written in C.
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You can find scripts and additional information (like software and hardware used
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and benchmarks' results per sample file) in [*benchmarks*](benchmarks) directory.
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and benchmarks' results per sample file) in [*benchmarks*](https://github.com/src-d/enry/blob/master/benchmarks) directory.
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If you want to reproduce the same benchmarks you can run:
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