From 778c74232efaed9d63376ce35cdd88282921b82f Mon Sep 17 00:00:00 2001 From: Laura Date: Thu, 18 Jan 2024 09:00:12 -0700 Subject: [PATCH] remove images from blueprint card architecture (#337) --- test_use_cases.py | 14 +------------- use_cases/gretel.json | 17 ----------------- use_cases/images/amplify.png | Bin 656 -> 0 bytes use_cases/images/amplify@2x.png | Bin 1225 -> 0 bytes use_cases/images/amplify@3x.png | Bin 1854 -> 0 bytes use_cases/images/balance-bias.png | Bin 664 -> 0 bytes use_cases/images/balance-bias@2x.png | Bin 1182 -> 0 bytes use_cases/images/balance-bias@3x.png | Bin 1761 -> 0 bytes use_cases/images/benchmark.png | Bin 1256 -> 0 bytes use_cases/images/benchmark@2x.png | Bin 2464 -> 0 bytes use_cases/images/benchmark@3x.png | Bin 3791 -> 0 bytes use_cases/images/downstream-accuracy.png | Bin 1187 -> 0 bytes use_cases/images/downstream-accuracy@2x.png | Bin 2292 -> 0 bytes use_cases/images/downstream-accuracy@3x.png | Bin 3647 -> 0 bytes use_cases/images/from-scratch.png | Bin 1148 -> 0 bytes use_cases/images/from-scratch@2x.png | Bin 2311 -> 0 bytes use_cases/images/from-scratch@3x.png | Bin 3609 -> 0 bytes use_cases/images/gdpr-anonymization.png | Bin 799 -> 0 bytes use_cases/images/gdpr-anonymization@2x.png | Bin 1467 -> 0 bytes use_cases/images/gdpr-anonymization@3x.png | Bin 2259 -> 0 bytes use_cases/images/high-dimensional.png | Bin 682 -> 0 bytes use_cases/images/high-dimensional@2x.png | Bin 1173 -> 0 bytes use_cases/images/high-dimensional@3x.png | Bin 1732 -> 0 bytes use_cases/images/image-synthetics.png | Bin 1409 -> 0 bytes use_cases/images/image-synthetics@2x.png | Bin 2819 -> 0 bytes use_cases/images/image-synthetics@3x.png | Bin 4350 -> 0 bytes use_cases/images/minority-classes.png | Bin 1115 -> 0 bytes use_cases/images/minority-classes@2x.png | Bin 1994 -> 0 bytes use_cases/images/minority-classes@3x.png | Bin 3324 -> 0 bytes use_cases/images/natural-lang-gpt.png | Bin 734 -> 0 bytes use_cases/images/natural-lang-gpt@2x.png | Bin 1343 -> 0 bytes use_cases/images/natural-lang-gpt@3x.png | Bin 2003 -> 0 bytes use_cases/images/relational-db.png | Bin 1294 -> 0 bytes use_cases/images/relational-db@2x.png | Bin 2213 -> 0 bytes use_cases/images/relational-db@3x.png | Bin 3729 -> 0 bytes use_cases/images/synthetics.png | Bin 734 -> 0 bytes use_cases/images/synthetics@2x.png | Bin 1235 -> 0 bytes use_cases/images/synthetics@3x.png | Bin 1887 -> 0 bytes use_cases/images/tabular-dp.png | Bin 1193 -> 0 bytes use_cases/images/tabular-dp@2x.png | Bin 2327 -> 0 bytes use_cases/images/tabular-dp@3x.png | Bin 3638 -> 0 bytes use_cases/images/timeseries.png | Bin 586 -> 0 bytes use_cases/images/timeseries@2x.png | Bin 1038 -> 0 bytes use_cases/images/timeseries@3x.png | Bin 1565 -> 0 bytes use_cases/images/transform-v1.png | Bin 1589 -> 0 bytes use_cases/images/transform-v1@2x.png | Bin 2885 -> 0 bytes use_cases/images/transform-v1@3x.png | Bin 4334 -> 0 bytes use_cases/images/transform-v2.png | Bin 1576 -> 0 bytes use_cases/images/transform-v2@2x.png | Bin 2795 -> 0 bytes use_cases/images/transform-v2@3x.png | Bin 4301 -> 0 bytes 50 files changed, 1 insertion(+), 30 deletions(-) delete mode 100644 use_cases/images/amplify.png delete mode 100644 use_cases/images/amplify@2x.png delete mode 100644 use_cases/images/amplify@3x.png delete mode 100644 use_cases/images/balance-bias.png delete mode 100644 use_cases/images/balance-bias@2x.png delete mode 100644 use_cases/images/balance-bias@3x.png delete mode 100644 use_cases/images/benchmark.png delete mode 100644 use_cases/images/benchmark@2x.png delete mode 100644 use_cases/images/benchmark@3x.png delete mode 100644 use_cases/images/downstream-accuracy.png delete mode 100644 use_cases/images/downstream-accuracy@2x.png delete mode 100644 use_cases/images/downstream-accuracy@3x.png delete mode 100644 use_cases/images/from-scratch.png delete mode 100644 use_cases/images/from-scratch@2x.png delete mode 100644 use_cases/images/from-scratch@3x.png delete mode 100755 use_cases/images/gdpr-anonymization.png delete mode 100755 use_cases/images/gdpr-anonymization@2x.png delete mode 100755 use_cases/images/gdpr-anonymization@3x.png delete mode 100644 use_cases/images/high-dimensional.png delete mode 100644 use_cases/images/high-dimensional@2x.png delete mode 100644 use_cases/images/high-dimensional@3x.png delete mode 100644 use_cases/images/image-synthetics.png delete mode 100644 use_cases/images/image-synthetics@2x.png delete mode 100644 use_cases/images/image-synthetics@3x.png delete mode 100644 use_cases/images/minority-classes.png delete mode 100644 use_cases/images/minority-classes@2x.png delete mode 100644 use_cases/images/minority-classes@3x.png delete mode 100644 use_cases/images/natural-lang-gpt.png delete mode 100644 use_cases/images/natural-lang-gpt@2x.png delete mode 100644 use_cases/images/natural-lang-gpt@3x.png delete mode 100644 use_cases/images/relational-db.png delete mode 100644 use_cases/images/relational-db@2x.png delete mode 100644 use_cases/images/relational-db@3x.png delete mode 100644 use_cases/images/synthetics.png delete mode 100644 use_cases/images/synthetics@2x.png delete mode 100644 use_cases/images/synthetics@3x.png delete mode 100644 use_cases/images/tabular-dp.png delete mode 100644 use_cases/images/tabular-dp@2x.png delete mode 100644 use_cases/images/tabular-dp@3x.png delete mode 100644 use_cases/images/timeseries.png delete mode 100644 use_cases/images/timeseries@2x.png delete mode 100644 use_cases/images/timeseries@3x.png delete mode 100644 use_cases/images/transform-v1.png delete mode 100644 use_cases/images/transform-v1@2x.png delete mode 100644 use_cases/images/transform-v1@3x.png delete mode 100644 use_cases/images/transform-v2.png delete mode 100644 use_cases/images/transform-v2@2x.png delete mode 100644 use_cases/images/transform-v2@3x.png diff --git a/test_use_cases.py b/test_use_cases.py index dcaf8c3b..85696793 100644 --- a/test_use_cases.py +++ b/test_use_cases.py @@ -73,7 +73,7 @@ "properties": {"label": {"type": "string"}, "link": {"type": "string"}}, }, }, - "required": ["gtmId", "title", "description", "cardType", "imageName", "icon"], + "required": ["gtmId", "title", "description", "cardType", "icon"], } @@ -91,7 +91,6 @@ def test_use_cases(): assert card_is_valid gtm_ids.append(card.get("gtmId")) titles.append(card.get("title")) - validate_images_exist(card.get("imageName")) validate_icons_exist(card.get("icon")) validate_config_file_exists(card.get("defaultConfig")) validate_details_file_exists(card.get("detailsFileName")) @@ -121,17 +120,6 @@ def validate_unique(field_values): assert len(field_values) == len(set(field_values)) -def validate_images_exist(image_name): - dir_path = "use_cases/images" - split_name = image_name.split(".") - two_x = split_name[0] + "@2x." + split_name[1] - three_x = split_name[0] + "@3x." + split_name[1] - - assert (Path(__file__).parent / dir_path / image_name).is_file() - assert (Path(__file__).parent / dir_path / two_x).is_file() - assert (Path(__file__).parent / dir_path / three_x).is_file() - - def validate_icons_exist(icon_name): dir_path = "use_cases/icons" split_name = icon_name.split(".") diff --git a/use_cases/gretel.json b/use_cases/gretel.json index 1835c689..e6572b88 100644 --- a/use_cases/gretel.json +++ b/use_cases/gretel.json @@ -5,7 +5,6 @@ "title": "Generate synthetic tabular data", "description": "Create highly accurate synthetic tabular training data for ML models.", "cardType": "Console", - "imageName": "synthetics.png", "icon": "synthetics.png", "detailsFileName": "synthetic.md", "modelType": "synthetics", @@ -33,7 +32,6 @@ "title": "Synthesize any normalized SQL database ", "description": "Use Gretel Relational to synthesize or transform data in a relational database without losing foreign key relationships.", "cardType": "Notebook", - "imageName": "relational-db.png", "icon": "relational-db.png", "detailsFileName": "relational-db.md", "button1": { @@ -51,7 +49,6 @@ "description": "Safeguard sensitive information and uphold compliance standards by automatically removing private information from datasets.", "cardType": "Console", "tag": "New", - "imageName": "transform-v2.png", "icon": "transform.png", "modelType": "transform_v2", "modelCategory": "transform", @@ -70,7 +67,6 @@ "title": "Create provably private versions of sensitive data", "description": "Use Gretel Tabular DP, our graph-based generative model, to generate synthetic data with strong differential privacy guarantees.", "cardType": "Console", - "imageName": "tabular-dp.png", "icon": "tabular-dp.png", "modelType": "tabular_dp", "modelCategory": "synthetics", @@ -89,7 +85,6 @@ "title": "Generate synthetic text data using GPT", "description": "Quickly generate diverse text examples for natural language tasks, simplifying the generation of labeled datasets.", "cardType": "Console", - "imageName": "natural-lang-gpt.png", "icon": "natural-lang-gpt.png", "detailsFileName": "gpt-natural-language.md", "modelType": "gpt_x", @@ -117,7 +112,6 @@ "title": "Auto-tune synthetic data parameters", "description": "Automate hyperparameter sweeps to create the best synthetic data for your task.", "cardType": "Notebook", - "imageName": "benchmark.png", "icon": "benchmark.png", "detailsFileName": "gretel-tuner.md", "button1": { @@ -134,7 +128,6 @@ "title": "Generate high-quality time series data", "description": "Use DoppelGANger to create accurate and correlated time-series data.", "cardType": "Console", - "imageName": "timeseries.png", "icon": "timeseries.png", "modelType": "timeseries_dgan", "modelCategory": "synthetics", @@ -153,7 +146,6 @@ "title": "Synthesize data + evaluate ML performance", "description": "Evaluate synthetic data performance on classification and regression models.", "cardType": "Console", - "imageName": "downstream-accuracy.png", "icon": "downstream-accuracy.png", "modelType": "evaluate", "modelCategory": "synthetics", @@ -172,7 +164,6 @@ "title": "Synthesize data at scale", "description": "Create large volumes of synthetic records for demos and scale testing.", "cardType": "Console", - "imageName": "amplify.png", "icon": "amplify.png", "modelType": "amplify", "modelCategory": "synthetics", @@ -191,7 +182,6 @@ "title": "Boost minority class data", "description": "Train a model on a dataset with sparse instances of the minority class, and conditionally generate additional minority samples.", "cardType": "Notebook", - "imageName": "minority-classes.png", "icon": "minority-classes.png", "detailsFileName": "boost-minority-class.md", "button1": { @@ -208,7 +198,6 @@ "title": "Synthesize highly dimensional data", "description": "Train a synthetic ACTGAN model designed to easily handle datasets with 50k+ records and 100+ columns.", "cardType": "Console", - "imageName": "high-dimensional.png", "icon": "high-dimensional.png", "modelType": "actgan", "modelCategory": "synthetics", @@ -227,7 +216,6 @@ "title": "Evaluate classification and regression", "description": "Validate the quality of synthetic data for classification/regression tasks.", "cardType": "Notebook", - "imageName": "downstream-accuracy.png", "icon": "downstream-accuracy.png", "detailsFileName": "evaluate-downstream-accuracy-notebook.md", "button1": { @@ -244,7 +232,6 @@ "title": "Automatic anonymization for GDPR ", "description": "Use our Transform and Synthetics generative AI-based models to anonymize sensitive data to meet GDPR standards.", "cardType": "Notebook", - "imageName": "gdpr-anonymization.png", "icon": "gdpr-anonymization.png", "detailsFileName": "gdpr-anonymization.md", "button1": { @@ -261,7 +248,6 @@ "title": "Benchmark multiple synthetic models", "description": "Evaluate multiple synthetic data models on a standardized benchmark with a single function.", "cardType": "Notebook", - "imageName": "benchmark.png", "icon": "benchmark.png", "detailsFileName": "benchmark.md", "button1": { @@ -278,7 +264,6 @@ "title": "Generate text including song lyrics using GPT", "description": "Create natural language text data including song lyrics.", "cardType": "Console", - "imageName": "natural-lang-gpt.png", "icon": "natural-lang-gpt.png", "modelType": "gpt_x", "modelCategory": "synthetics", @@ -297,7 +282,6 @@ "title": "Remove sensitive data from unstructured text", "description": "Use Named Entity Recognition (NER) to detect and redact personally identifiable data in free text fields.", "cardType": "Console", - "imageName": "transform-v1.png", "icon": "transform.png", "modelType": "transform", "modelCategory": "transform", @@ -317,7 +301,6 @@ "description": "Fine-tune Gretel Image Synthetics on your domain specific images", "cardType": "Notebook", "tag": "Labs", - "imageName": "image-synthetics.png", "icon": "image-synthetics.png", "detailsFileName": "image-synthetics-preview.md", "button1": { diff --git a/use_cases/images/amplify.png b/use_cases/images/amplify.png deleted 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