Metadata-Version: 2.1
Name: pytrilogyt
Version: 0.0.5
Summary: Enhanced PreQL for common ETL needs.
Home-page: 
Author: 
Author-email: preql-community@gmail.com
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: pytrilogy>=0.0.1.96
Requires-Dist: dbt-core
Provides-Extra: bigquery
Requires-Dist: dbt-bigquery; extra == "bigquery"
Provides-Extra: duckdb
Requires-Dist: dbt-duckdb; extra == "duckdb"

## Simple Declarative Data Pipelines

Combine the simplicity of Trilogy with the modern data stack. 

Compile your models to ETL scripts to run on demand. Rebuild, run, and test easily.

Translates 'Persist' statements in Trilogy to scheduled ETL jobs. 

Currently supported backends:
- DBT

> [!WARNING]
> This is a work in progress. Please report any issues or feature requests.


## Flags

--optimize=X - Any CTE used at least X times in calculating final model outputs will be materialized for reuse.


> [!TIP]
> Don't worry about optimizing your temp table graph ever again - write your final tables and let TrilogyT handle the rest.


## Install

`pip install pytrilogyt`

## How to Run

preqlt <preql_path> <dbt_project_root_path> <backend> --run

```bash
trilogyt dbt/models/core/ ./dbt bigquery --run
```

Each source preql file will be built into a separate DBT sub folder with one model per persist statement.

```bash
17:12:37  Running with dbt=1.7.4
17:12:38  Registered adapter: bigquery=1.7.2
17:12:38  Found 4 models, 4 tests, 0 sources, 0 exposures, 0 metrics, 447 macros, 0 groups, 0 semantic models
17:12:38
17:12:40  Concurrency: 4 threads (target='dev')
17:12:40
17:12:41  1 of 4 START sql view model dbt_test.customers ................................. [RUN]
17:12:41  2 of 4 START sql table model dbt_test.customers_preql_preqlt_gen_model ......... [RUN]
17:12:41  3 of 4 START sql table model dbt_test.my_first_dbt_model ....................... [RUN]
17:12:42  1 of 4 OK created sql view model dbt_test.customers ............................ [CREATE VIEW (0 processed) in 1.09s]
17:12:43  3 of 4 OK created sql table model dbt_test.my_first_dbt_model .................. [CREATE TABLE (2.0 rows, 0 processed) in 2.78s]
17:12:43  4 of 4 START sql view model dbt_test.my_second_dbt_model ....................... [RUN]
17:12:44  2 of 4 OK created sql table model dbt_test.customers_preql_preqlt_gen_model .... [CREATE TABLE (100.0 rows, 4.3 KiB processed) in 3.55s]
17:12:44  4 of 4 OK created sql view model dbt_test.my_second_dbt_model .................. [CREATE VIEW (0 processed) in 1.10s]
17:12:44
17:12:44  Finished running 2 view models, 2 table models in 0 hours 0 minutes and 6.37 seconds (6.37s).
17:12:45  
17:12:45  Completed successfully
17:12:45
17:12:45  Done. PASS=4 WARN=0 ERROR=0 SKIP=0 TOTAL=4
customers: success
my_first_dbt_model: success
customers_preql_preqlt_gen_model: success
my_second_dbt_model: success
```


### From IO

```console
Write-Output """constant x <-5; persist into static as static select x;""" | trilogyt <output_path> bigquery
```
