%global _empty_manifest_terminate_build 0 Name: python-montecarlodata Version: 0.52.0 Release: 1 Summary: Monte Carlo's CLI License: Apache Software License (Apache 2.0) URL: https://www.montecarlodata.com/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/55/d9/a9bbb5434a8d3b5e4869910c0441a92698eceef3e28bbd076edca4d1a3fb/montecarlodata-0.52.0.tar.gz BuildArch: noarch Requires: python3-boto3 Requires: python3-click Requires: python3-click-config-file Requires: python3-requests Requires: python3-retry Requires: python3-tabulate Requires: python3-dataclasses-json Requires: python3-PyYAML Requires: python3-box Requires: python3-pycarlo Requires: python3-Jinja2 %description # Monte Carlo CLI Monte Carlo's Alpha CLI! ## Installation Requires Python 3.7 or greater. Normally you can install and update using `pip`. For instance: ```shell pip install virtualenv virtualenv venv . venv/bin/activate pip install -U montecarlodata ``` Developers of the CLI can use: ```shell pip install virtualenv make install . venv/bin/activate pre-commit install ``` Either way confirm the installation by running: ```shell montecarlo --version ``` If the Python requirement does not work for you please reach out to `support@montecarlodata.com`. Docker is an option. ## Quick start First time users can configure the tool by following the onscreen prompts: ```shell montecarlo configure ``` MCD tokens can be generated from the [dashboard](https://getmontecarlo.com/get-token). Any AWS profiles or regions should be for the account the Data Collector (DC) is deployed to. If you are not using the CLI for onboarding or managing a DC, you may leave the AWS configuration blank. Use the `--help` flag for details on any advanced options (e.g. creating multiple montecarlo profiles) or see docs [here][cli-docs]. That's it! You can always validate your connection with: ```shell montecarlo validate ``` ## User settings Any configuration set by `montecarlo configure` can be found in `~/.mcd/` by default. The MCD ID and Token can be overwritten, or even set, by the environment: - `MCD_DEFAULT_API_ID` - `MCD_DEFAULT_API_TOKEN` These two are required either as part of `configure` or as environment variables. For AWS, system defaults are used if not set as part of `configure`. The following values can also be set by the environment: - `MCD_API_ENDPOINT` - Overwrite the default API endpoint - `MCD_VERBOSE_ERRORS` - Enable verbose logging on errors (default=false) ## Help Documentation for commands, options, and arguments can be found [here][cli-docs]. You can also use `montecarlo help` to echo all help text or use the `--help` flag on any command. ## Examples ### Using Docker from a local installation ```shell docker build -t montecarlo . docker run -v ${HOME}/.aws/credentials:/root/.aws/credentials:ro \ -e MCD_DEFAULT_API_ID='' \ -e MCD_DEFAULT_API_TOKEN='' \ -e AWS_DEFAULT_PROFILE='' \ -e AWS_DEFAULT_REGION='us-east-1' \ montecarlo --version ``` Replace `--version` with any sub-commands or options. If interacting with files those directories will probably need to be mounted too. ### Configure a named profile with custom config-path ```shell $ montecarlo configure --profile-name zeus --config-path . Key ID: 1234 Secret: AWS profile name []: shiva AWS region [us-east-1]: $ cat ./profiles.ini [zeus] mcd_id = 1234 mcd_token = 5678 aws_profile = shiva aws_region = us-east-1 ``` ### List active integrations ```shell $ montecarlo integrations list ╒══════════════════╤══════════════════════════════════════╤══════════════════════════════════╕ │ Integration │ ID │ Created on (UTC) │ ╞══════════════════╪══════════════════════════════════════╪══════════════════════════════════╡ │ Odin │ 58005657-2914-4701-9a11-260ac425b14e │ 2021-01-02T01:30:52.806602+00:00 │ ├──────────────────┼──────────────────────────────────────┼──────────────────────────────────┤ │ Thor │ 926816bd-ab17-4f95-a953-fa14482c59de │ 2021-01-02T01:31:19.892205+00:00 │ ├──────────────────┼──────────────────────────────────────┼──────────────────────────────────┤ │ Loki │ 1cf1dc0d-d8ec-4c85-8e64-57ab2ad8e023 │ 2021-01-02T01:32:37.709747+00:00 │ ╘══════════════════╧══════════════════════════════════════╧══════════════════════════════════╛ ``` ### Apply monitors configuration ```shell $ montecarlo monitors apply --namespace my-monitors Gathering monitor configuration files. - models/customer_success/schema.yml - Embedded monitor configuration found. - models/customer_success/schema.yml - Monitor configuration found. - models/lineage/schema.yml - Embedded monitor configuration found. Modifications: - ResourceModificationType.UPDATE - Monitor: type=stats, table=analytics:prod.customer_360 - ResourceModificationType.UPDATE - Monitor: type=categories, table=analytics:prod.customer_360 - ResourceModificationType.UPDATE - Monitor: type=stats, table=analytics:prod_lineage.lineage_nodes - ResourceModificationType.UPDATE - Freshness SLI: table=analytics:prod.customer_360, freshness_threshold=30 ``` ### Import DBT manifest ```shell $ montecarlo import dbt-manifest --dbt-manifest-file target/manifest.json Importing DBT objects into Monte Carlo catalog. please wait... Imported a total of 51 DBT objects into Monte Carlo catalog. ``` ## Tests and Releases Locally `make test` will run all tests. CircleCI manages all testing for deployment. To publish a new release, simply add a new version tag, e.g. `v1.0.0`, and push that tag to GitHub. CircleCI will take care of publishing a new package to [PyPI](https://pypi.org/project/montecarlodata/) and generating documentation. ## License Apache 2.0 - See the [LICENSE](http://www.apache.org/licenses/LICENSE-2.0) for more information. [cli-docs]: https://clidocs.getmontecarlo.com/ %package -n python3-montecarlodata Summary: Monte Carlo's CLI Provides: python-montecarlodata BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-montecarlodata # Monte Carlo CLI Monte Carlo's Alpha CLI! ## Installation Requires Python 3.7 or greater. Normally you can install and update using `pip`. For instance: ```shell pip install virtualenv virtualenv venv . venv/bin/activate pip install -U montecarlodata ``` Developers of the CLI can use: ```shell pip install virtualenv make install . venv/bin/activate pre-commit install ``` Either way confirm the installation by running: ```shell montecarlo --version ``` If the Python requirement does not work for you please reach out to `support@montecarlodata.com`. Docker is an option. ## Quick start First time users can configure the tool by following the onscreen prompts: ```shell montecarlo configure ``` MCD tokens can be generated from the [dashboard](https://getmontecarlo.com/get-token). Any AWS profiles or regions should be for the account the Data Collector (DC) is deployed to. If you are not using the CLI for onboarding or managing a DC, you may leave the AWS configuration blank. Use the `--help` flag for details on any advanced options (e.g. creating multiple montecarlo profiles) or see docs [here][cli-docs]. That's it! You can always validate your connection with: ```shell montecarlo validate ``` ## User settings Any configuration set by `montecarlo configure` can be found in `~/.mcd/` by default. The MCD ID and Token can be overwritten, or even set, by the environment: - `MCD_DEFAULT_API_ID` - `MCD_DEFAULT_API_TOKEN` These two are required either as part of `configure` or as environment variables. For AWS, system defaults are used if not set as part of `configure`. The following values can also be set by the environment: - `MCD_API_ENDPOINT` - Overwrite the default API endpoint - `MCD_VERBOSE_ERRORS` - Enable verbose logging on errors (default=false) ## Help Documentation for commands, options, and arguments can be found [here][cli-docs]. You can also use `montecarlo help` to echo all help text or use the `--help` flag on any command. ## Examples ### Using Docker from a local installation ```shell docker build -t montecarlo . docker run -v ${HOME}/.aws/credentials:/root/.aws/credentials:ro \ -e MCD_DEFAULT_API_ID='' \ -e MCD_DEFAULT_API_TOKEN='' \ -e AWS_DEFAULT_PROFILE='' \ -e AWS_DEFAULT_REGION='us-east-1' \ montecarlo --version ``` Replace `--version` with any sub-commands or options. If interacting with files those directories will probably need to be mounted too. ### Configure a named profile with custom config-path ```shell $ montecarlo configure --profile-name zeus --config-path . Key ID: 1234 Secret: AWS profile name []: shiva AWS region [us-east-1]: $ cat ./profiles.ini [zeus] mcd_id = 1234 mcd_token = 5678 aws_profile = shiva aws_region = us-east-1 ``` ### List active integrations ```shell $ montecarlo integrations list ╒══════════════════╤══════════════════════════════════════╤══════════════════════════════════╕ │ Integration │ ID │ Created on (UTC) │ ╞══════════════════╪══════════════════════════════════════╪══════════════════════════════════╡ │ Odin │ 58005657-2914-4701-9a11-260ac425b14e │ 2021-01-02T01:30:52.806602+00:00 │ ├──────────────────┼──────────────────────────────────────┼──────────────────────────────────┤ │ Thor │ 926816bd-ab17-4f95-a953-fa14482c59de │ 2021-01-02T01:31:19.892205+00:00 │ ├──────────────────┼──────────────────────────────────────┼──────────────────────────────────┤ │ Loki │ 1cf1dc0d-d8ec-4c85-8e64-57ab2ad8e023 │ 2021-01-02T01:32:37.709747+00:00 │ ╘══════════════════╧══════════════════════════════════════╧══════════════════════════════════╛ ``` ### Apply monitors configuration ```shell $ montecarlo monitors apply --namespace my-monitors Gathering monitor configuration files. - models/customer_success/schema.yml - Embedded monitor configuration found. - models/customer_success/schema.yml - Monitor configuration found. - models/lineage/schema.yml - Embedded monitor configuration found. Modifications: - ResourceModificationType.UPDATE - Monitor: type=stats, table=analytics:prod.customer_360 - ResourceModificationType.UPDATE - Monitor: type=categories, table=analytics:prod.customer_360 - ResourceModificationType.UPDATE - Monitor: type=stats, table=analytics:prod_lineage.lineage_nodes - ResourceModificationType.UPDATE - Freshness SLI: table=analytics:prod.customer_360, freshness_threshold=30 ``` ### Import DBT manifest ```shell $ montecarlo import dbt-manifest --dbt-manifest-file target/manifest.json Importing DBT objects into Monte Carlo catalog. please wait... Imported a total of 51 DBT objects into Monte Carlo catalog. ``` ## Tests and Releases Locally `make test` will run all tests. CircleCI manages all testing for deployment. To publish a new release, simply add a new version tag, e.g. `v1.0.0`, and push that tag to GitHub. CircleCI will take care of publishing a new package to [PyPI](https://pypi.org/project/montecarlodata/) and generating documentation. ## License Apache 2.0 - See the [LICENSE](http://www.apache.org/licenses/LICENSE-2.0) for more information. [cli-docs]: https://clidocs.getmontecarlo.com/ %package help Summary: Development documents and examples for montecarlodata Provides: python3-montecarlodata-doc %description help # Monte Carlo CLI Monte Carlo's Alpha CLI! ## Installation Requires Python 3.7 or greater. Normally you can install and update using `pip`. For instance: ```shell pip install virtualenv virtualenv venv . venv/bin/activate pip install -U montecarlodata ``` Developers of the CLI can use: ```shell pip install virtualenv make install . venv/bin/activate pre-commit install ``` Either way confirm the installation by running: ```shell montecarlo --version ``` If the Python requirement does not work for you please reach out to `support@montecarlodata.com`. Docker is an option. ## Quick start First time users can configure the tool by following the onscreen prompts: ```shell montecarlo configure ``` MCD tokens can be generated from the [dashboard](https://getmontecarlo.com/get-token). Any AWS profiles or regions should be for the account the Data Collector (DC) is deployed to. If you are not using the CLI for onboarding or managing a DC, you may leave the AWS configuration blank. Use the `--help` flag for details on any advanced options (e.g. creating multiple montecarlo profiles) or see docs [here][cli-docs]. That's it! You can always validate your connection with: ```shell montecarlo validate ``` ## User settings Any configuration set by `montecarlo configure` can be found in `~/.mcd/` by default. The MCD ID and Token can be overwritten, or even set, by the environment: - `MCD_DEFAULT_API_ID` - `MCD_DEFAULT_API_TOKEN` These two are required either as part of `configure` or as environment variables. For AWS, system defaults are used if not set as part of `configure`. The following values can also be set by the environment: - `MCD_API_ENDPOINT` - Overwrite the default API endpoint - `MCD_VERBOSE_ERRORS` - Enable verbose logging on errors (default=false) ## Help Documentation for commands, options, and arguments can be found [here][cli-docs]. You can also use `montecarlo help` to echo all help text or use the `--help` flag on any command. ## Examples ### Using Docker from a local installation ```shell docker build -t montecarlo . docker run -v ${HOME}/.aws/credentials:/root/.aws/credentials:ro \ -e MCD_DEFAULT_API_ID='' \ -e MCD_DEFAULT_API_TOKEN='' \ -e AWS_DEFAULT_PROFILE='' \ -e AWS_DEFAULT_REGION='us-east-1' \ montecarlo --version ``` Replace `--version` with any sub-commands or options. If interacting with files those directories will probably need to be mounted too. ### Configure a named profile with custom config-path ```shell $ montecarlo configure --profile-name zeus --config-path . Key ID: 1234 Secret: AWS profile name []: shiva AWS region [us-east-1]: $ cat ./profiles.ini [zeus] mcd_id = 1234 mcd_token = 5678 aws_profile = shiva aws_region = us-east-1 ``` ### List active integrations ```shell $ montecarlo integrations list ╒══════════════════╤══════════════════════════════════════╤══════════════════════════════════╕ │ Integration │ ID │ Created on (UTC) │ ╞══════════════════╪══════════════════════════════════════╪══════════════════════════════════╡ │ Odin │ 58005657-2914-4701-9a11-260ac425b14e │ 2021-01-02T01:30:52.806602+00:00 │ ├──────────────────┼──────────────────────────────────────┼──────────────────────────────────┤ │ Thor │ 926816bd-ab17-4f95-a953-fa14482c59de │ 2021-01-02T01:31:19.892205+00:00 │ ├──────────────────┼──────────────────────────────────────┼──────────────────────────────────┤ │ Loki │ 1cf1dc0d-d8ec-4c85-8e64-57ab2ad8e023 │ 2021-01-02T01:32:37.709747+00:00 │ ╘══════════════════╧══════════════════════════════════════╧══════════════════════════════════╛ ``` ### Apply monitors configuration ```shell $ montecarlo monitors apply --namespace my-monitors Gathering monitor configuration files. - models/customer_success/schema.yml - Embedded monitor configuration found. - models/customer_success/schema.yml - Monitor configuration found. - models/lineage/schema.yml - Embedded monitor configuration found. Modifications: - ResourceModificationType.UPDATE - Monitor: type=stats, table=analytics:prod.customer_360 - ResourceModificationType.UPDATE - Monitor: type=categories, table=analytics:prod.customer_360 - ResourceModificationType.UPDATE - Monitor: type=stats, table=analytics:prod_lineage.lineage_nodes - ResourceModificationType.UPDATE - Freshness SLI: table=analytics:prod.customer_360, freshness_threshold=30 ``` ### Import DBT manifest ```shell $ montecarlo import dbt-manifest --dbt-manifest-file target/manifest.json Importing DBT objects into Monte Carlo catalog. please wait... Imported a total of 51 DBT objects into Monte Carlo catalog. ``` ## Tests and Releases Locally `make test` will run all tests. CircleCI manages all testing for deployment. To publish a new release, simply add a new version tag, e.g. `v1.0.0`, and push that tag to GitHub. CircleCI will take care of publishing a new package to [PyPI](https://pypi.org/project/montecarlodata/) and generating documentation. ## License Apache 2.0 - See the [LICENSE](http://www.apache.org/licenses/LICENSE-2.0) for more information. [cli-docs]: https://clidocs.getmontecarlo.com/ %prep %autosetup -n montecarlodata-0.52.0 %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-montecarlodata -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 10 2023 Python_Bot - 0.52.0-1 - Package Spec generated