automatic import of python-ts-ids-es-json-generator

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+/ts-ids-es-json-generator-1.0.1.tar.gz
diff --git a/python-ts-ids-es-json-generator.spec b/python-ts-ids-es-json-generator.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-ts-ids-es-json-generator
+Version:	1.0.1
+Release:	1
+Summary:	Python utility for generating elasticsearch.json from schema.json for an IDS
+License:	Apache License 2.0
+URL:		https://github.com/tetrascience/ts-ids-es-json-generator
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d5/1c/c0b68d36010671a96d922040634515e4acdc5da8cb939f1658dea7a1fc6c/ts-ids-es-json-generator-1.0.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-jsonref
+Requires:	python3-pydash
+
+%description
+# ts-ids-es-json-generator
+
+## Introduction
+
+This simple utility generates `elasticsearch.json` using `schema.json`.
+
+## How to Use
+
+To run the generator, simply provide the program with the location of the IDS root directory:
+
+```
+$ pipenv run python -m ids_es_json_generator ~/path/to/ids/folder
+```
+
+`elasticsearch.json` may be manually edited after automatic generation (e.g. to update non-searchable fields).
+
+## Output
+
+The script saves `elasticsearch.json` to the same directory you provided.
+
+## Assumptions
+
+The generator operates under the following assumptions:
+
+- It's the IDS designer's responsibility to make sure the schema and `elasticsearch.json` are correct.
+  The generator will not validate the IDS for you.
+
+## Restrictions
+
+- JSON pointers are dereferenced to create the mapping, so schemas with circular references or missing references will fail.
+
+## Tests
+
+Run the tests using the following command:
+
+`$ pipenv run python -m pytest`
+
+## How it works
+
+Anywhere an array of objects appears in the schema, a `nested` field type will be created in the output `elasticsearch.json`, including arrays of objects contained anywhere within other arrays of objects.
+The steps are:
+
+1. The schema is loaded into a dict with all of its JSON pointers dereferenced using `jsonref`, so that nested fields involving `definitions` are included in the elasticsearch mapping.
+2. `find_array_object` will find all arrays of objects and create a dict representing their locations in the schema (see test case `test_array_simple_nested_case` in `__tests__/unit/test_find_array_object.py`).
+3. `generate_es_mapping` uses this dict to create the elasticsearch mapping (see test case `test_nested_keys_case` in `__tests__/unit/test_generate_es_mapping.py`).
+
+See the example files and test cases for more example usage.
+
+
+
+
+%package -n python3-ts-ids-es-json-generator
+Summary:	Python utility for generating elasticsearch.json from schema.json for an IDS
+Provides:	python-ts-ids-es-json-generator
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ts-ids-es-json-generator
+# ts-ids-es-json-generator
+
+## Introduction
+
+This simple utility generates `elasticsearch.json` using `schema.json`.
+
+## How to Use
+
+To run the generator, simply provide the program with the location of the IDS root directory:
+
+```
+$ pipenv run python -m ids_es_json_generator ~/path/to/ids/folder
+```
+
+`elasticsearch.json` may be manually edited after automatic generation (e.g. to update non-searchable fields).
+
+## Output
+
+The script saves `elasticsearch.json` to the same directory you provided.
+
+## Assumptions
+
+The generator operates under the following assumptions:
+
+- It's the IDS designer's responsibility to make sure the schema and `elasticsearch.json` are correct.
+  The generator will not validate the IDS for you.
+
+## Restrictions
+
+- JSON pointers are dereferenced to create the mapping, so schemas with circular references or missing references will fail.
+
+## Tests
+
+Run the tests using the following command:
+
+`$ pipenv run python -m pytest`
+
+## How it works
+
+Anywhere an array of objects appears in the schema, a `nested` field type will be created in the output `elasticsearch.json`, including arrays of objects contained anywhere within other arrays of objects.
+The steps are:
+
+1. The schema is loaded into a dict with all of its JSON pointers dereferenced using `jsonref`, so that nested fields involving `definitions` are included in the elasticsearch mapping.
+2. `find_array_object` will find all arrays of objects and create a dict representing their locations in the schema (see test case `test_array_simple_nested_case` in `__tests__/unit/test_find_array_object.py`).
+3. `generate_es_mapping` uses this dict to create the elasticsearch mapping (see test case `test_nested_keys_case` in `__tests__/unit/test_generate_es_mapping.py`).
+
+See the example files and test cases for more example usage.
+
+
+
+
+%package help
+Summary:	Development documents and examples for ts-ids-es-json-generator
+Provides:	python3-ts-ids-es-json-generator-doc
+%description help
+# ts-ids-es-json-generator
+
+## Introduction
+
+This simple utility generates `elasticsearch.json` using `schema.json`.
+
+## How to Use
+
+To run the generator, simply provide the program with the location of the IDS root directory:
+
+```
+$ pipenv run python -m ids_es_json_generator ~/path/to/ids/folder
+```
+
+`elasticsearch.json` may be manually edited after automatic generation (e.g. to update non-searchable fields).
+
+## Output
+
+The script saves `elasticsearch.json` to the same directory you provided.
+
+## Assumptions
+
+The generator operates under the following assumptions:
+
+- It's the IDS designer's responsibility to make sure the schema and `elasticsearch.json` are correct.
+  The generator will not validate the IDS for you.
+
+## Restrictions
+
+- JSON pointers are dereferenced to create the mapping, so schemas with circular references or missing references will fail.
+
+## Tests
+
+Run the tests using the following command:
+
+`$ pipenv run python -m pytest`
+
+## How it works
+
+Anywhere an array of objects appears in the schema, a `nested` field type will be created in the output `elasticsearch.json`, including arrays of objects contained anywhere within other arrays of objects.
+The steps are:
+
+1. The schema is loaded into a dict with all of its JSON pointers dereferenced using `jsonref`, so that nested fields involving `definitions` are included in the elasticsearch mapping.
+2. `find_array_object` will find all arrays of objects and create a dict representing their locations in the schema (see test case `test_array_simple_nested_case` in `__tests__/unit/test_find_array_object.py`).
+3. `generate_es_mapping` uses this dict to create the elasticsearch mapping (see test case `test_nested_keys_case` in `__tests__/unit/test_generate_es_mapping.py`).
+
+See the example files and test cases for more example usage.
+
+
+
+
+%prep
+%autosetup -n ts-ids-es-json-generator-1.0.1
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-ts-ids-es-json-generator -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..d957f1a
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+f5fe17edda741fbff3864902b32cc05e  ts-ids-es-json-generator-1.0.1.tar.gz