Metadata-Version: 2.1
Name: datacatalog-util
Version: 0.7.0
Summary: A package to manage Google Cloud Data Catalog helper commands and scripts
Home-page: https://github.com/mesmacosta/datacatalog-util
Author: Marcelo Miranda
Author-email: mesmacosta@gmail.com
License: MIT license
Description: # Datacatalog Util [![Tweet](https://img.shields.io/twitter/url/http/shields.io.svg?style=social)](https://twitter.com/intent/tweet?text=Data%20Catalog%20util%20scripts%20&url=https://github.com/mesmacosta/datacatalog-util&via=github&hashtags=datacatalog,python,bulk,bigdata)
        
        
        [![CircleCI][1]][2] [![PyPi][7]][8] [![License][9]][9] [![Issues][10]][11]
        
        A Python package to manage Google Cloud Data Catalog helper commands and scripts.
        
        **Disclaimer: This is not an officially supported Google product.**
        
        ## Commands List
        
        | Group          | Command                        | Description                                         | Documentation Link | Code Repo |
        | ---            | ---                            | ---                                                 | ---                | ---       |
        | `tags`         |**create**                      | Load Tags from CSV file.                            | [GO][12]           | [GO][18]  |
        | `tags`         |**delete**                      | Delete Tags fromCSV file.                           | [GO][13]           | [GO][26]  |
        | `tags`         |**export**                      | Export Tags to CSV file.                            | [GO][13]           | [GO][26]  |
        | `tag-templates`|**create**                      | Load Templates from CSV file.                       | [GO][14]           | [GO][24]  |
        | `tag-templates`|**delete**                      | Delete Templates from CSV file.                     | [GO][15]           | [GO][24]  |
        | `tag-templates`|**export**                      | Export Templates to CSV file.                       | [GO][16]           | [GO][25]  |
        | `filesets`     |**create**                      | Create GCS filesets from CSV file.                  | [GO][29]           | [GO][28]  |
        | `filesets`     |**enrich**                      | Enrich GCS filesets with Tags.                      | [GO][20]           | [GO][19]  |
        | `filesets`     |**clean-up-templates-and-tags** | Cleans up the Fileset Template and their Tags.      | [GO][21]           | [GO][19]  |
        | `filesets`     |**delete**                      | Delete GCS filesets from CSV file.                  | [GO][30]           | [GO][28]  |
        
        ## Executing in Cloud Shell
        ````bash
        # Set your SERVICE ACCOUNT, for instructions go to 1.3. Auth credentials
        # This name is just a suggestion, feel free to name it following your naming conventions
        export GOOGLE_APPLICATION_CREDENTIALS=~/datacatalog-util-sa.json
        
        # Install datacatalog-util 
        pip3 install datacatalog-util --user
        
        # Add to your PATH
        export PATH=~/.local/bin:$PATH
        
        # Look for available commands
        datacatalog-util --help
        ````
        
        ## 1. Environment setup
        
        ### 1.1. Python + virtualenv
        
        Using [virtualenv][3] is optional, but strongly recommended unless you use [Docker](#12-docker).
        
        #### 1.1.1. Install Python 3.6+
        
        #### 1.1.2. Get the source code
        ```bash
        git clone https://github.com/mesmacosta/datacatalog-util
        cd ./datacatalog-util
        ```
        
        _All paths starting with `./` in the next steps are relative to the `datacatalog-util`
        folder._
        
        #### 1.1.3. Create and activate an isolated Python environment
        
        ```bash
        pip install --upgrade virtualenv
        python3 -m virtualenv --python python3 env
        source ./env/bin/activate
        ```
        
        #### 1.1.4. Install the package
        
        ```bash
        pip install --upgrade .
        ```
        
        ### 1.2. Docker
        
        Docker may be used as an alternative to run the script. In this case, please disregard the
        [Virtualenv](#11-python--virtualenv) setup instructions.
        
        ### 1.3. Auth credentials
        
        #### 1.3.1. Create a service account and grant it below roles
        
        - Data Catalog Admin
        - Storage Admin
        
        #### 1.3.2. Download a JSON key and save it as
        This name is just a suggestion, feel free to name it following your naming conventions
        - `./credentials/datacatalog-util-sa.json`
        
        #### 1.3.3. Set the environment variables
        
        _This step may be skipped if you're using [Docker](#12-docker)._
        
        ```bash
        export GOOGLE_APPLICATION_CREDENTIALS=~/credentials/datacatalog-util-sa.json
        ```
        
        ## 2. Load Tags from CSV file
        
        ### 2.1. Create a CSV file representing the Tags to be created
        
        Tags are composed of as many lines as required to represent all of their fields. The columns are
        described as follows:
        
        | Column              | Description                                            | Mandatory |
        | ---                 | ---                                                    | ---       |
        | **linked_resource** | Full name of the asset the Entry refers to.            | Y         |
        | **template_name**   | Resource name of the Tag Template for the Tag.         | Y         |
        | **column**          | Attach Tags to a column belonging to the Entry schema. | N         |
        | **field_id**        | Id of the Tag field.                                   | Y         |
        | **field_value**     | Value of the Tag field.                                | Y         |
        
        *TIPS* 
        - [sample-input/create-tags][4] for reference;
        - [Data Catalog Sample Tags][5] (Google Sheets) may help to create/export the CSV.
        
        ### 2.2. Run the datacatalog-util script - Create the Tags
        
        - Python + virtualenv
        
        ```bash
        datacatalog-util tags create --csv-file CSV_FILE_PATH
        ```
        
        - Docker
        
        ```bash
        docker build --rm --tag datacatalog-util .
        docker run --rm --tty \
          --volume CREDENTIALS_FILE_FOLDER:/credentials --volume CSV_FILE_FOLDER:/data \
          datacatalog-util create-tags --csv-file /data/CSV_FILE_NAME
        ```
        
        ### 2.3. Run the datacatalog-util script - Delete the Tags
        
        - Python + virtualenv
        
        ```bash
        datacatalog-util tags delete --csv-file CSV_FILE_PATH
        ```
        
        ## 3. Export Tags to CSV file
        
        ### 3.1. A list of CSV files, each representing one Template will be created.
        One file with summary with stats about each template, will also be created on the same directory.
        
        The columns for the summary file are described as follows:
        
        | Column                         | Description                                              | 
        | ---                            | ---                                                      | 
        | **template_name**              | Resource name of the Tag Template for the Tag.           | 
        | **tags_count**                 | Number of tags found from the template.                  | 
        | **tagged_entries_count**       | Number of tagged entries with the template.              | 
        | **tagged_columns_count**       | Number of tagged columns with the template.              | 
        | **tag_string_fields_count**    | Number of used String fields on tags of the template.    | 
        | **tag_bool_fields_count**      | Number of used Bool fields on tags of the template.      | 
        | **tag_double_fields_count**    | Number of used Double fields on tags of the template.    | 
        | **tag_timestamp_fields_count** | Number of used Timestamp fields on tags of the template. | 
        | **tag_enum_fields_count**      | Number of used Enum fields on tags of the template.      | 
        
        The columns for each template file are described as follows:
        
        | Column                     | Description                                            | 
        | ---                        | ---                                                    |
        | **relative_resource_name** | Full resource name of the asset the Entry refers to.   |
        | **linked_resource**        | Full name of the asset the Entry refers to.            |
        | **template_name**          | Resource name of the Tag Template for the Tag.         | 
        | **tag_name**               | Resource name of the Tag.                              |
        | **column**                 | Attach Tags to a column belonging to the Entry schema. |
        | **field_id**               | Id of the Tag field.                                   |
        | **field_type**             | Type of the Tag field.                                 | 
        | **field_value**            | Value of the Tag field.                                | 
        
        ### 3.2. Run tags export
        
        - Python + virtualenv
        
        ```bash
        datacatalog-util tags export --project-ids my-project --dir-path DIR_PATH
        ```
        
        ### 3.3 Run tags export filtering Tag Templates
        
        - Python + virtualenv
        
        ```bash
        datacatalog-util tags export --project-ids my-project \
        --dir-path DIR_PATH \
        --tag-templates-names projects/my-project/locations/us-central1/tagTemplates/my-template,\
        projects/my-project/locations/us-central1/tagTemplates/my-template-2 
        
        ```
        
        ## 4. Load Templates from CSV file
        
        ### 4.1. Create a CSV file representing the Templates to be created
        
        Templates are composed of as many lines as required to represent all of their fields. The columns are
        described as follows:
        
        | Column                 | Description                                    | Mandatory |
        | ---                    | ---                                            | ---       |
        | **template_name**      | Resource name of the Tag Template for the Tag. | Y         |
        | **display_name**       | Resource name of the Tag Template for the Tag. | Y         |
        | **field_id**           | Id of the Tag Template field.                  | Y         |
        | **field_display_name** | Display name of the Tag Template field.        | Y         |
        | **field_type**         | Type of the Tag Template field.                | Y         |
        | **enum_values**        | Values for the Enum field.                     | N         |
        
        
        ### 4.2. Run the datacatalog-util script - Create the Tag Templates
        
        - Python + virtualenv
        
        ```bash
        datacatalog-util tag-templates create --csv-file CSV_FILE_PATH
        ```
        
        ### 4.3. Run the datacatalog-util script - Delete the Tag Templates
        
        - Python + virtualenv
        
        ```bash
        datacatalog-util tag-templates delete --csv-file CSV_FILE_PATH
        ```
        
        *TIPS* 
        - [sample-input/create-tag-templates][6] for reference;
        
        ## 5. Export Templates to CSV file
        
        ### 5.1. A CSV file representing the Templates will be created
        
        Templates are composed of as many lines as required to represent all of their fields. The columns are
        described as follows:
        
        | Column                 | Description                                    | 
        | ---                    | ---                                            | 
        | **template_name**      | Resource name of the Tag Template for the Tag. | 
        | **display_name**       | Resource name of the Tag Template for the Tag. | 
        | **field_id**           | Id of the Tag Template field.                  | 
        | **field_display_name** | Display name of the Tag Template field.        | 
        | **field_type**         | Type of the Tag Template field.                | 
        | **enum_values**        | Values for the Enum field.                     | 
        
        ### 5.2. Run the datacatalog-util script
        
        - Python + virtualenv
        
        ```bash
        datacatalog-util tag-templates export --project-ids my-project --file-path CSV_FILE_PATH
        ```
        
        ## 6. Filesets Commands
        
        ### 6.1. Create a CSV file representing the Entry Groups and Entries to be created
        
        Filesets are composed of as many lines as required to represent all of their fields. The columns are
        described as follows:
        
        | Column                        | Description               | Mandatory |
        | ---                           | ---                       | ---       |
        | **entry_group_name**          | Entry Group Name.         | Y         |
        | **entry_group_display_name**  | Entry Group Display Name. | Y         |
        | **entry_group_description**   | Entry Group Description.  | Y         |
        | **entry_id**                  | Entry ID.                 | Y         |
        | **entry_display_name**        | Entry Display Name.       | Y         |
        | **entry_description**         | Entry Description.        | Y         |
        | **entry_file_patterns**       | Entry File Patterns.      | Y         |
        | **schema_column_name**        | Schema column name.       | N         |
        | **schema_column_type**        | Schema column type.       | N         |
        | **schema_column_description** | Schema column description.| N         |
        | **schema_column_mode**        | Schema column mode.       | N         |
        
        
        ### 6.1.1. Create the Filesets Entry Groups and Entries
        
        - Python + virtualenv
        
        ```bash
        datacatalog-util filesets create --project-id my-project  --csv-file CSV_FILE_PATH
        ```
        
        ### 6.2. Enrich GCS Filesets with Tags
        Users are able to choose the Tag fields from the list provided at [Tags][23]
        
        ```bash
        datacatalog-util filesets enrich --project-id my-project 
        ```
        
        ### 6.2.1 Enrich all fileset entries using Tag Template from a different Project (Good way to reuse the same Template)
        
        If you are using a different project, make sure the Service Account has the following permissions on that project:
        * Data Catalog TagTemplate Creator
        * Data Catalog TagTemplate User
        
        ```bash
        datacatalog-util filesets \
          --project-id my_project \
          enrich --tag-template-name projects/my_different_project/locations/us-central1/tagTemplates/fileset_enricher_findings
        ```
        
        ### 6.3. clean up template and tags
        Cleans up the Template and Tags from the Fileset Entries, running the main command will recreate those.
        
        ```bash
        datacatalog-util filesets clean-up-templates-and-tags --project-id my-project 
        ```
        
        ### 6.4. Delete the Filesets Entry Groups and Entries
        
        - Python + virtualenv
        
        ```bash
        datacatalog-util filesets delete --project-id my-project  --csv-file CSV_FILE_PATH
        ```
        
        
        [1]: https://circleci.com/gh/mesmacosta/datacatalog-util.svg?style=svg
        [2]: https://circleci.com/gh/mesmacosta/datacatalog-util
        [3]: https://virtualenv.pypa.io/en/latest/
        [4]: https://github.com/mesmacosta/datacatalog-util/tree/master/sample-input/create-tags
        [5]: https://docs.google.com/spreadsheets/d/1bqeAXjLHUq0bydRZj9YBhdlDtuu863nwirx8t4EP_CQ
        [6]: https://github.com/mesmacosta/datacatalog-util/tree/master/sample-input/create-tag-templates
        [7]: https://img.shields.io/pypi/v/datacatalog-util.svg
        [8]: https://pypi.org/project/datacatalog-util/
        [9]: https://img.shields.io/github/license/mesmacosta/datacatalog-util.svg
        [10]: https://img.shields.io/github/issues/mesmacosta/datacatalog-util.svg
        [11]: https://github.com/mesmacosta/datacatalog-util/issues
        [12]: https://github.com/mesmacosta/datacatalog-util#2-load-tags-from-csv-file
        [13]: https://github.com/mesmacosta/datacatalog-util#3-export-tags-to-csv-file
        [14]: https://github.com/mesmacosta/datacatalog-util#4-load-templates-from-csv-file
        [15]: https://github.com/mesmacosta/datacatalog-util#43-run-the-datacatalog-util-script---delete-the-tag-templates
        [16]: https://github.com/mesmacosta/datacatalog-util#5-export-templates-to-csv-file
        [17]: https://github.com/mesmacosta/datacatalog-util
        [18]: https://github.com/ricardolsmendes/datacatalog-tag-manager
        [19]: https://github.com/mesmacosta/datacatalog-fileset-enricher
        [20]: https://github.com/mesmacosta/datacatalog-util#62-enrich-gcs-filesets-with-tags
        [21]: https://github.com/mesmacosta/datacatalog-util#63-clean-up-template-and-tags
        [23]: https://github.com/mesmacosta/datacatalog-fileset-enricher#1-created-tags
        [24]: https://github.com/mesmacosta/datacatalog-tag-template-processor
        [25]: https://github.com/mesmacosta/datacatalog-tag-template-exporter
        [26]: https://github.com/mesmacosta/datacatalog-tag-exporter
        [27]: https://github.com/mesmacosta/datacatalog-util#62-create-fileset-enricher-tag-template-in-a-different-project
        [28]: https://github.com/mesmacosta/datacatalog-fileset-processor
        [29]: https://github.com/mesmacosta/datacatalog-util#611-create-the-filesets-entry-groups-and-entries
        [30]: https://github.com/mesmacosta/datacatalog-util#64-delete-the-filesets-entry-groups-and-entries
        
        
        ## History
        
        
        0.1.0 (2020-04-08)
        ------------------
        
        * First release on PyPI.
        
        0.1.1 (2020-04-09)
        ------------------
        
        * Update description.
        
        0.2.0 (2020-04-09)
        ------------------
        
        * Improved groups command line.
        
        0.3.0 (2020-04-15)
        ------------------
        
        * Added datacatalog-tag-template-processor library.
        
        0.4.0 (2020-04-15)
        ------------------
        
        * Added datacatalog-tag-template-exporter library.
        
        0.5.0 (2020-04-15)
        ------------------
        
        * Added datacatalog-tag-exporter library.
        
        0.6.0 (2020-04-28)
        ------------------
        
        * Added datacatalog-fileset-processor library.
        
        0.7.0 (2020-04-29)
        ------------------
        
        * Added new tag delete command.
Platform: Posix; MacOS X; Windows
Classifier: Development Status :: 3 - Alpha
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.6
Description-Content-Type: text/markdown
