updated frontend

Author: lisadunlap

README.md

@@ -177,6 +177,24 @@ clustered_df, model_stats = label(
 )
 ```
 
+### Extract-Only (No Clustering)
+
+If you only want extracted properties (extraction → JSON parsing → validation) without clustering/metrics:
+
+```python
+from stringsight import extract_properties_only
+
+dataset = extract_properties_only(
+    df,
+    method="single_model",
+    model_name="gpt-4.1-mini",
+    output_dir="results/extract_only",
+    # If True (default), StringSight raises if 0 properties remain after validation.
+    # If False, it returns an empty list of properties instead.
+    fail_on_empty_properties=False,
+)
+```
+
 ## Output
 
 **Output dataframe columns:**
@@ -238,3 +256,12 @@ See the [documentation](https://lisadunlap.github.io/StringSight/) for:
 ## Contributing
 
 PRs very welcome, especially if I forgot to include something important in the readme. Questions or issues? [Open an issue on GitHub](https://github.com/lisadunlap/stringsight/issues)
+
+### Tests
+
+Some lightweight development tests live in `tests/` and can be run directly, e.g.:
+
+```bash
+python tests/test_prompts_metadata_unit.py
+python tests/test_airline_demo_prompt_generation.py
+```

alembic/env.py

@@ -10,7 +10,7 @@
 
 from stringsight.config import settings
 from stringsight.database import Base
-from stringsight.models import User, Job  # Import models to register them
+from stringsight.db_models import User, Job  # Import models to register them
 
 # this is the Alembic Config object, which provides
 # access to the values within the .ini file in use.

check_jobs.py

@@ -2,7 +2,7 @@
 """Quick script to check recent jobs in the database."""
 
 from stringsight.database import SessionLocal
-from stringsight.models.job import Job
+from stringsight.db_models.job import Job
 from datetime import datetime
 
 db = SessionLocal()

pyproject.toml

@@ -10,18 +10,17 @@ authors = [
 ]
 description = "Explain Large Language Model Behavior Patterns"
 readme = "README.md"
-requires-python = ">=3.8"
+requires-python = ">=3.10"
 classifiers = [
     "Development Status :: 3 - Alpha",
     "Intended Audience :: Developers",
     "Intended Audience :: Science/Research",
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
     "License :: OSI Approved :: MIT License",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.8",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
 ]
 dependencies = [
     "pandas>=2.0.0",
@@ -49,7 +48,6 @@ dependencies = [
     "psycopg2-binary>=2.9.0",
     "redis>=5.0.0",
     "celery[redis]>=5.3.0",
-    "boto3>=1.34.0",
 ]
 
 [project.optional-dependencies]