tap-lookml

This is a Singer tap that produces JSON-formatted data following the Singer spec.

This tap:

• Pulls LookML files from GitHub v3 API to extract LookML components using lkml parser.
• Extracts the following resources:
  • Model Files: Git API Search with filename and extension filters for model and lkml
  • Models: Parse items (connection, includes, datagroups, explores, joins, etc.) using lkml
  • View Files: Git API Search with filename and extension filters for view and lkml
  • Views: Parse items (derived table, dimensions, measures, filters, parameters, sets, etc.) using lkml
• Outputs the schema for each resource
• Incrementally pulls data based on the input state (file last-modified in GitHub)

Streams

model_files

• Search Endpoint (ALL Model Files): https://api.github.com/search/code?q=filename:.model.+extension:lkml+repo:[GIT_OWNER]/[GIT_REPOSITORY]
• File Endpoint: https://api.github.com/repos/[GIT_OWNER]/[GIT_REPOSITORY]/contents/[GIT_FILE_PATH]
• Primary key fields: git_owner, git_repository, path
• Foreign key fields: repository_id
• Replication strategy: INCREMENTAL (Search ALL, filter results)
  • Bookmark field: last_modified
• Transformations: Remove _links node, remove content node, add repository name, path, folder, and repository ID

models

• Primary key fields: git_owner, git_repository, path
• Replication strategy: FULL_TABLE (ALL for each model_file)
• Transformations: Decode, parse model_file content and convert to JSON

view_files

• Search Endpoint (ALL View Files): https://api.github.com/search/code?q=filename:.view.+extension:lkml+repo:[GIT_OWNER]/[GIT_REPOSITORY]
• File Endpoint: https://api.github.com/repos/[GIT_OWNER]/[GIT_REPOSITORY]/contents/[GIT_FILE_PATH]
• Primary key fields: git_owner, git_repository, path
• Foreign key fields: repository_id
• Replication strategy: INCREMENTAL (Search ALL, filter results)
  • Bookmark field: last_modified
• Transformations: Remove _links node, remove content node, add repository name, path, folder, and repository ID

views

• Primary key fields: git_owner, git_repository, path
• Replication strategy: FULL_TABLE (ALL for each model_file)
• Transformations: Decode, parse model_file content and convert to JSON

Authentication

Quick Start

1. Install

   Clone this repository, and then install using setup.py. We recommend using a virtualenv:

   > virtualenv -p python3 venv
   > source venv/bin/activate
   > python setup.py install
   OR
   > cd .../tap-lookml
   > pip install .

2. Dependent libraries The following dependent libraries were installed.

   > pip install singer-python
   > pip install singer-tools
   > pip install target-stitch
   > pip install target-json
   

   • singer-tools
   • target-stitch

3. Create your tap's config.json file. This tap connects to GitHub with a GitHub OAuth2 Token. This may be a Personal Access Token or Create an authorization for an App. Each tap connects to a single Looker/LookML Git Repository (where your Looker LookML code is hosted for your Looker Project); provide the name of the git_repositories delimited by a comma (spaces are ignored) and the git_owner of those repositories (whcih can be a User or Organization).

   {
       "api_token": "YOUR_GITHUB_API_TOKEN",
       "git_owner": "YOUR_GITHUB_ORGANIZATION_OR_USER",
       "git_repositories": "LOOKER_GIT_REPO_1, LOOKER_GIT_REPO_2, ...",
       "start_date": "2019-01-01T00:00:00Z",
       "user_agent": "tap-lookml <api_user_email@your_company.com>"
   }

   Optionally, also create a state.json file. currently_syncing is an optional attribute used for identifying the last object to be synced in case the job is interrupted mid-stream. The next run would begin where the last job left off.

   {
       "currently_syncing": "users",
       "bookmarks": {
           "model_files": "2019-10-13T19:53:36.000000Z",
           "view_files": "2019-10-13T18:50:11.000000Z"
       }
   }

4. Run the Tap in Discovery Mode This creates a catalog.json for selecting objects/fields to integrate:

   tap-lookml --config config.json --discover > catalog.json

   See the Singer docs on discovery mode here.

5. Run the Tap in Sync Mode (with catalog) and write out to state file

   For Sync mode:

   > tap-lookml --config tap_config.json --catalog catalog.json > state.json
   > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json

   To load to json files to verify outputs:

   > tap-lookml --config tap_config.json --catalog catalog.json | target-json > state.json
   > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json

   To pseudo-load to Stitch Import API with dry run:

   > tap-lookml --config tap_config.json --catalog catalog.json | target-stitch --config target_config.json --dry-run > state.json
   > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json

6. Test the Tap

   While developing the lookml tap, the following utilities were run in accordance with Singer.io best practices: Pylint to improve code quality:

   > pylint tap_lookml -d missing-docstring -d logging-format-interpolation -d too-many-locals -d too-many-arguments

   Pylint test resulted in the following score:

   Your code has been rated at 9.68/10

   To check the tap and verify working:

   > tap-lookml --config tap_config.json --catalog catalog.json | singer-check-tap > state.json
   > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json

   Check tap resulted in the following:

   The output is valid.
   It contained 58 messages for 4 streams.
   
       4 schema messages
       48 record messages
       6 state messages
   
   Details by stream:
   +-------------+---------+---------+
   | stream      | records | schemas |
   +-------------+---------+---------+
   | model_files | 2       | 1       |
   | models      | 2       | 1       |
   | view_files  | 17      | 1       |
   | views       | 27      | 1       |
   +-------------+---------+---------+

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