# datacatalog-custom-entries-manager
A Python package intended to manage Google Cloud [Data Catalog custom entries][1], loading metadata
from external sources. Currently supports the CSV and JSON file formats.
It is built on top of [GoogleCloudPlatform/datacatalog-connectors][2] and, differently from the
existing connectors, allows ingesting metadata with no need to connect to other systems than Data
Catalog. Known use cases include validating Custom Entries ingestion workloads before coding their
specific features and loading metadata into development / PoC environments.
In case you need not only Entries but also Tags to validate your model/workload, consider giving
[datacatalog-custom-model-manager][3] a try.
![Continuous Integration][4] ![Continuous Delivery][5]
<!--
DO NOT UPDATE THE TABLE OF CONTENTS MANUALLY
run `npx markdown-toc -i README.md`.
Please stick to 120-character line wraps as much as you can.
-->
## Table of Contents
<!-- toc -->
- [1. Environment setup](#1-environment-setup)
* [1.1. Python + virtualenv](#11-python--virtualenv)
+ [1.1.1. Install Python 3.6+](#111-install-python-36)
+ [1.1.2. Create a folder](#112-create-a-folder)
+ [1.1.3. Create and activate an isolated Python environment](#113-create-and-activate-an-isolated-python-environment)
+ [1.1.4. Install the package](#114-install-the-package)
* [1.2. Docker](#12-docker)
+ [1.2.1. Get the source code](#121-get-the-source-code)
* [1.3. Auth credentials](#13-auth-credentials)
+ [1.3.1. Create a service account and grant it below roles](#131-create-a-service-account-and-grant-it-below-roles)
+ [1.3.2. Download a JSON key and save it as](#132-download-a-json-key-and-save-it-as)
+ [1.3.3. Set the environment variables](#133-set-the-environment-variables)
- [2. Manage Custom Entries](#2-manage-custom-entries)
* [2.1. Synchronize](#21-synchronize)
+ [2.1.1. To a CSV file](#211-to-a-csv-file)
+ [2.1.2. To a JSON file](#212-to-a-json-file)
<!-- tocstop -->
---
## 1. Environment setup
### 1.1. Python + virtualenv
Using [virtualenv][6] is optional, but strongly recommended unless you use [Docker](#12-docker).
#### 1.1.1. Install Python 3.6+
#### 1.1.2. Create a folder
This is recommended so all related stuff will reside at the same place, making it easier to follow
below instructions.
```bash
mkdir ./datacatalog-custom-entries-manager
cd ./datacatalog-custom-entries-manager
```
_All paths starting with `./` in the next steps are relative to the
`datacatalog-custom-entries-manager` 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 datacatalog-custom-entries-manager
```
### 1.2. Docker
Docker may be used as an alternative to run `datacatalog-custom-entries-manager`. In this case,
please disregard the [above](#11-python--virtualenv) _virtualenv_ setup instructions.
#### 1.2.1. Get the source code
```bash
git clone https://github.com/ricardolsmendes/datacatalog-custom-entries-manager
cd ./datacatalog-custom-entries-manager
```
### 1.3. Auth credentials
#### 1.3.1. Create a service account and grant it below roles
- DataCatalog entryGroup Owner
- DataCatalog entry Owner
- Data Catalog Viewer
#### 1.3.2. Download a JSON key and save it as
- `./credentials/datacatalog-custom-entries-manager.json`
#### 1.3.3. Set the environment variables
_This step can be skipped if you're using [Docker](#12-docker)._
```bash
export GOOGLE_APPLICATION_CREDENTIALS=./credentials/datacatalog-custom-entries-manager.json
```
## 2. Manage Custom Entries
### 2.1. Synchronize
#### 2.1.1. To a CSV file
- _SCHEMA_
The metadata schema to synchronize Custom Entries is presented below. Use as many lines as needed
to describe all Data Catalog Entries you need.
| Column | Description | Mandatory |
| ------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------: |
| **user_specified_system** | Indicates the Entry source system | yes |
| **group_id** | Id of the Entry Group the Entry belongs to | yes |
| **linked_resource** | The resource a metadata Entry refers to | yes |
| **display_name** | Display information such as title and description; a short name to identify the Entry (the `entry_id` field will be generated as a normalized version of the display name) | yes |
| **description** | Can consist of several sentences that describe the Entry contents | no |
| **user_specified_type** | A custom value indicating the Entry type | yes |
| **created_at** | The creation time of the underlying resource, not of the Data Catalog Entry (format: YYYY-MM-DDTHH:MM:SSZ) | no |
| **updated_at** | The last-modified time of the underlying resource, not of the Data Catalog Entry (format: YYYY-MM-DDTHH:MM:SSZ) | no |
- _SAMPLE INPUT_
1. [sample-input/csv][7] for reference;
1. [Data Catalog Sample Custom Entries][8] (Google Sheets) might help to create/export a CSV file.
- _COMMANDS_
**Python + virtualenv**
```bash
datacatalog-custom-entries sync \
--csv-file <CSV-FILE-PATH> \
--project-id <YOUR-PROJECT-ID> --location-id <YOUR-LOCATION-ID>
```
**Docker**
```bash
docker build --rm --tag datacatalog-custom-entries-manager .
docker run --rm --tty \
--volume <CREDENTIALS-FILE-FOLDER>:/credentials --volume <CSV-FILE-FOLDER>:/data \
datacatalog-custom-entries-manager sync \
--csv-file /data/<CSV-FILE-PATH> \
--project-id <YOUR-PROJECT-ID> --location-id <YOUR-LOCATION-ID>
```
#### 2.1.2. To a JSON file
- _STRUCTURE_
The metadata structure to synchronize Custom Entries is presented below. Use as many objects as
needed to describe all Data Catalog Entries you need.
```json
{
"userSpecifiedSystems": [
{
"name": "STRING",
"entryGroups": [
{
"id": "STRING",
"entries": [
{
"linkedResource": "STRING",
"displayName": "STRING",
"description": "STRING (optional)",
"type": "STRING",
"createdAt": "STRING (optional, format: YYYY-MM-DDTHH:MM:SSZ)",
"updatedAt": "STRING (optional, format: YYYY-MM-DDTHH:MM:SSZ)"
}
]
}
]
}
]
}
```
- _SAMPLE INPUT_
1. [sample-input/json][9] for reference;
- _COMMANDS_
**Python + virtualenv**
```bash
datacatalog-custom-entries sync \
--json-file <JSON-FILE-PATH> \
--project-id <YOUR-PROJECT-ID> --location-id <YOUR-LOCATION-ID>
```
**Docker**
```bash
docker build --rm --tag datacatalog-custom-entries-manager .
docker run --rm --tty \
--volume <CREDENTIALS-FILE-FOLDER>:/credentials --volume <CSV-FILE-FOLDER>:/data \
datacatalog-custom-entries-manager sync \
--json-file <JSON-FILE-PATH> \
--project-id <YOUR-PROJECT-ID> --location-id <YOUR-LOCATION-ID>
```
[1]: https://cloud.google.com/data-catalog/docs/how-to/custom-entries
[2]: https://github.com/GoogleCloudPlatform/datacatalog-connectors
[3]: https://github.com/ricardolsmendes/datacatalog-custom-model-manager
[4]: https://github.com/ricardolsmendes/datacatalog-custom-entries-manager/workflows/Continuous%20Integration/badge.svg
[5]: https://github.com/ricardolsmendes/datacatalog-custom-entries-manager/workflows/Continuous%20Delivery/badge.svg
[6]: https://virtualenv.pypa.io/en/latest/
[7]: https://github.com/ricardolsmendes/datacatalog-custom-entries-manager/tree/master/sample-input/csv
[8]: https://docs.google.com/spreadsheets/d/1F_6M1BA9qlcGZf_ZyC3cUAePUjMXInZWbUOSGow5Gfc
[9]: https://github.com/ricardolsmendes/datacatalog-custom-entries-manager/tree/master/sample-input/json