chore: bump version to test release and ensure todos are addressed in…

… cli

.github/workflows/release.yml

@@ -51,7 +51,7 @@ jobs:
 
       - name: Build package
         run: |
-          uv build --wheel .
+          uvx hatch build
 
       - name: Publish package on PyPI
         if: steps.check-version.outputs.tag

README.md

@@ -6,8 +6,7 @@
 [![Downloads](https://static.pepy.tech/badge/dbt-osmosis)](https://pepy.tech/project/dbt-osmosis)
 ![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-green.svg)
 ![black](https://img.shields.io/badge/code%20style-black-000000.svg)
-[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://z3z1ma-dbt-osmosis-srcdbt-osmosisapp-v2-i0ico9.streamlit.app/)
-
+[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://dbt-osmosis-playground.streamlit.app/)
 
 [![Scc Count Badge](https://sloc.xyz/github/z3z1ma/dbt-osmosis/)](https://github.com/z3z1ma/dbt-osmosis/)
 [![Scc Count Badge](https://sloc.xyz/github/z3z1ma/dbt-osmosis/?category=cocomo)](https://github.com/z3z1ma/dbt-osmosis/)
@@ -38,24 +37,12 @@ Hello and welcome to the project! [dbt-osmosis](https://github.com/z3z1ma/dbt-os
 
     > Automatically generate documentation based on upstream documented columns
 
-2. A highly performant dbt server which integrates with tools such as dbt-power-user for VS Code to enable interactive querying + realtime compilation from your IDE
-
-    2a. `dbt-osmosis server serve --project-dir ... --profiles-dir ...`
-
-    > Spins up a WSGI server. Can be passed --register-project to automatically register your local project
-
-3. Workbench for dbt Jinja SQL. This workbench is powered by streamlit and the badge at the top of the readme will take you to a demo on streamlit cloud with jaffle_shop loaded (requires extra `pip install "dbt-osmosis[workbench]"`).
+2. Workbench for dbt Jinja SQL. This workbench is powered by streamlit and the badge at the top of the readme will take you to a demo on streamlit cloud with jaffle_shop loaded (requires extra `pip install "dbt-osmosis[workbench]"`).
 
     3a. `dbt-osmosis workbench --project-dir ... --profiles-dir ...`
 
     > Spins up a streamlit app. This workbench offers similar functionality to the osmosis server + power-user combo without a reliance on VS code. Realtime compilation, query execution, pandas profiling all via copying and pasting whatever you are working on into the workbenchat your leisure. Spin it up and down as needed.
 
-4. Diffs for data model outputs to model outputs across git revisions (🚧 this is in development)
-
-    4a. `dbt-osmosis diff -m some_model  --project-dir ... --profiles-dir ...`
-
-    > Run diffs on models dynamically. This pulls the state of the model before changes from your git history, injects it as a node to the dbt manifest, compiles the old and modified nodes, and diffs their query results optionally writing nodes to temp tables before running the diff query for warehouses with performance or query complexity limits (👀 bigquery)
-
 ____
 
 ## Pre-commit
@@ -65,7 +52,7 @@ You can use dbt-osmosis as a pre-commit hook. This will run the `dbt-osmosis yam
 ```yaml title=".pre-commit-config.yaml"
 repos:
   - repo: https://github.com/z3z1ma/dbt-osmosis
-    rev: v0.11.11 # verify the latest version
+    rev: v1.0.1 # verify the latest version
     hooks:
       - id: dbt-osmosis
         files: ^models/
@@ -84,8 +71,7 @@ I also expect there is some untapped value in the workbench that is only pending
 
 Demo the workbench 👇
 
-[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://z3z1ma-dbt-osmosis-srcdbt-osmosisapp-v2-i0ico9.streamlit.app/)
-
+[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://dbt-osmosis-playground.streamlit.app/)
 
 ```sh
 # NOTE this requires the workbench extra as you can see
@@ -97,7 +83,6 @@ dbt-osmosis workbench
 
 Press "r" to reload the workbench at any time.
 
-
 ✔️ dbt Editor with instant dbt compilation side-by-side or pivoted
 
 ✔️ Full control over model and workbench theme, light and dark mode
@@ -106,7 +91,6 @@ Press "r" to reload the workbench at any time.
 
 ✔️ Data Profiler (leverages pandas-profiling)
 
-
 **Editor**
 
 The editor is able to compile models with control+enter or dynamically as you type. Its speedy! You can choose any target defined in your profiles yml for compilation and execution.
@@ -117,7 +101,6 @@ You can pivot the editor for a fuller view while workbenching some dbt SQL.
 
 ![pivot](/screenshots/osmosis_editor_pivot.png?raw=true "dbt-osmosis Pivot Layout")
 
-
 **Test Query**
 
 Test dbt models as you work against whatever profile you have selected and inspect the results. This allows very fast iterative feedback loops not possible with VS Code alone.
@@ -130,14 +113,12 @@ Profile your datasets on the fly while you develop without switching context. Al
 
 ![profile-data](/screenshots/osmosis_profile.png?raw=true "dbt-osmosis Profile Data")
 
-
 **Useful Links and RSS Feed**
 
 Some useful links and RSS feeds at the bottom. 🤓
 
 ![profile-data](/screenshots/osmosis_links.png?raw=true "dbt-osmosis Profile Data")
 
-
 ___
 
 ![graph](https://repobeats.axiom.co/api/embed/df37714aa5780fc79871c60e6fc623f8f8e45c35.svg "Repobeats analytics image")

pyproject.toml

@@ -1,10 +1,10 @@
 [build-system]
-requires = ["hatchling"]
+requires = ["hatchling==1.26.3"]  # hatch-vcs
 build-backend = "hatchling.build"
 
 [project]
 name = "dbt-osmosis"
-version = "1.0.0"
+version = "1.0.1"
 description = "A dbt utility for managing YAML to make developing with dbt more delightful."
 readme = "README.md"
 license = { text = "Apache-2.0" }
@@ -38,7 +38,7 @@ sqlite = ["dbt-sqlite>=1.0.0,<2"]
 postgres = ["dbt-postgres>=1.0.0,<2"]
 
 workbench = [
-  "streamlit>=1.20.0,<1.36.0",
+  "streamlit>=1.20.0,<1.30.0",
   "streamlit-ace~=0.1.1",
   "ydata-profiling~=4.12.1",
   "feedparser~=6.0.11",

src/dbt_osmosis/cli/main.py

@@ -157,7 +157,7 @@ def wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
     help="If specified, we will skip merging upstrean meta keys to the model columns.",
 )
 @click.option(
-    "--skip-add-data-types",  # TODO: make sure this is implemented
+    "--skip-add-data-types",
     is_flag=True,
     help="If specified, we will skip adding data types to the models.",
 )
@@ -188,7 +188,7 @@ def wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
     help="If specified, will add inheritance for the specified keys. IE policy_tags",
 )
 @click.option(
-    "--output-to-lower",  # TODO: validate this is implemented
+    "--output-to-lower",
     is_flag=True,
     help="If specified, output yaml file columns and data types in lowercase if possible.",
 )
@@ -352,7 +352,7 @@ def organize(
     help="If specified, we will skip merging upstrean meta keys to the model columns.",
 )
 @click.option(
-    "--skip-add-data-types",  # TODO: make sure this is implemented
+    "--skip-add-data-types",
     is_flag=True,
     help="If specified, we will skip adding data types to the models.",
 )
@@ -388,7 +388,7 @@ def organize(
     help="If specified, will add inheritance for the specified keys. IE policy_tags",
 )
 @click.option(
-    "--output-to-lower",  # TODO: validate this is implemented
+    "--output-to-lower",
     is_flag=True,
     help="If specified, output yaml file columns and data types in lowercase if possible.",
 )

src/dbt_osmosis/core/osmosis.py

@@ -810,12 +810,12 @@ def create_missing_source_yamls(context: YamlRefactorContext) -> None:
         )
 
         def _describe(rel: BaseRelation) -> dict[str, t.Any]:
-            return {
+            s = {
                 "name": rel.identifier,
                 "description": "",
                 "columns": [
                     {
-                        "name": name,
+                        "name": name.lower() if context.settings.output_to_lower else name,
                         "description": meta.comment or "",
                         "data_type": meta.type.lower()
                         if context.settings.output_to_lower
@@ -824,6 +824,10 @@ def _describe(rel: BaseRelation) -> dict[str, t.Any]:
                     for name, meta in get_columns(context, get_table_ref(rel)).items()
                 ],
             }
+            if context.settings.skip_add_data_types:
+                for col in t.cast(list[dict[str, t.Any]], s["columns"]):
+                    _ = col.pop("data_type", None)
+            return s
 
         tables = [
             schema
@@ -1183,6 +1187,12 @@ def _sync_doc_section(
         for k, v in cdict.items():
             if k == "description" and not v:
                 merged.pop("description", None)
+            elif (
+                k == "data_type"
+                and merged.get("data_type") is None
+                and context.settings.skip_add_data_types
+            ):
+                pass
             else:
                 merged[k] = v
 
@@ -1197,6 +1207,9 @@ def _sync_doc_section(
             if not merged[k]:
                 merged.pop(k)
 
+        if context.settings.output_to_lower:
+            merged["name"] = merged["name"].lower()
+
         incoming_columns.append(merged)
 
     doc_section["columns"] = incoming_columns
@@ -1578,7 +1591,7 @@ def inject_missing_columns(context: YamlRefactorContext, node: ResultNode | None
                 node.unique_id,
             )
             gen_col = {"name": incoming_name, "description": incoming_meta.comment or ""}
-            if dtype := incoming_meta.type:
+            if (dtype := incoming_meta.type) and not context.settings.skip_add_data_types:
                 gen_col["data_type"] = dtype.lower() if context.settings.output_to_lower else dtype
             node.columns[incoming_name] = ColumnInfo.from_dict(gen_col)
 

src/dbt_osmosis/workbench/requirements.txt

@@ -1,2 +1,2 @@
-dbt-osmosis[workbench,duckdb]==1.0.0
+dbt-osmosis[workbench,duckdb]==1.0.1
 setuptools>=70