diff --git a/maskfile.md b/maskfile.md index 88a39621..8937360c 100644 --- a/maskfile.md +++ b/maskfile.md @@ -384,14 +384,14 @@ case "$application_name" in if [ "$data_type" = "equity-bars" ]; then if [ -n "${date_range:-}" ]; then - uv run python tools/sync_equity_bars_data.py "$base_url" "$date_range" + uv run python -m tools.sync_equity_bars_data "$base_url" "$date_range" else current_date=$(date -u +"%Y-%m-%d") date_range_json="{\"start_date\": \"$current_date\", \"end_date\": \"$current_date\"}" - uv run python tools/sync_equity_bars_data.py "$base_url" "$date_range_json" + uv run python -m tools.sync_equity_bars_data "$base_url" "$date_range_json" fi elif [ "$data_type" = "equity-details" ]; then - uv run python tools/sync_equity_details_data.py "$base_url" + uv run python -m tools.sync_equity_details_data "$base_url" fi ;; @@ -591,7 +591,7 @@ echo "Running dead code analysis" uvx vulture \ --min-confidence 80 \ --exclude '.flox,.venv,target' \ - . tools/vulture_whitelist.py + . tools/src/tools/vulture_whitelist.py echo "Dead code check completed" ``` @@ -778,7 +778,7 @@ export LOOKBACK_DAYS="${LOOKBACK_DAYS:-365}" cd ../ -uv run python tools/prepare_training_data.py +uv run python -m tools.prepare_training_data ``` ### train (application_name) [instance_preset] @@ -856,7 +856,7 @@ export AWS_S3_EQUITY_PRICE_MODEL_TRAINING_DATA_PATH="s3://${AWS_S3_MODEL_ARTIFAC cd ../ -uv run python tools/run_training_job.py +uv run python -m tools.run_training_job ``` ### artifacts @@ -872,7 +872,7 @@ set -euo pipefail export APPLICATION_NAME="${application_name}" -uv run python tools/download_model_artifacts.py +uv run python -m tools.download_model_artifacts ``` ## mcp diff --git a/pyproject.toml b/pyproject.toml index 41c47452..f2dff248 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,11 +8,12 @@ dependencies = [ "fastapi>=0.121.0", "uvicorn>=0.35.0", "structlog>=25.5.0", - "sagemaker>=2.256.0", + "sagemaker>=2.256.0,<3", "numpy>=1.26.4", "tinygrad>=0.10.3", "requests>=2.32.5", "mypy-boto3-s3>=1.42.37", + "polars", ] [tool.uv.sources] @@ -31,7 +32,7 @@ members = [ dev = ["coverage>=7.8.0", "pytest>=8.3.5", "behave>=1.2.6"] [tool.pytest.ini_options] -testpaths = ["applications/*/tests", "libraries/python/tests"] +testpaths = ["applications/*/tests", "libraries/python/tests", "tools/tests"] python_files = ["test_*.py"] python_classes = ["Test*"] python_functions = ["test_*"] @@ -49,7 +50,7 @@ filterwarnings = [ [tool.coverage.run] parallel = true -omit = ["*/__init__.py", "**/test_*.py"] +omit = ["*/__init__.py", "**/test_*.py", "tools/**"] [tool.coverage.report] show_missing = true diff --git a/tools/pyproject.toml b/tools/pyproject.toml index 26c68dbf..dac4d4fd 100644 --- a/tools/pyproject.toml +++ b/tools/pyproject.toml @@ -3,4 +3,8 @@ name = "tools" version = "0.1.0" description = "Project tools and scripts" requires-python = "==3.12.10" -dependencies = ["boto3>=1.40.74", "massive>=2.0.2"] +dependencies = ["boto3>=1.40.74"] + +[tool.uv] +package = true +src = ["src"] diff --git a/tools/src/tools/__init__.py b/tools/src/tools/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tools/download_model_artifacts.py b/tools/src/tools/download_model_artifacts.py similarity index 94% rename from tools/download_model_artifacts.py rename to tools/src/tools/download_model_artifacts.py index 798dff20..b087ca98 100644 --- a/tools/download_model_artifacts.py +++ b/tools/src/tools/download_model_artifacts.py @@ -43,14 +43,14 @@ def download_model_artifacts( # noqa: C901, PLR0915 file_object_name_parts = file_object_name.split("/") - if len(file_object_name_parts) < 2: # noqa: PLR2004 + if len(file_object_name_parts) < 3: # noqa: PLR2004 logger.warning("Skipping malformed path", path=file_object_name) continue - options.add(file_object_name_parts[1]) + options.add(file_object_name_parts[2]) file_objects_with_timestamps.append( { - "name": file_object_name_parts[1], + "name": file_object_name_parts[2], "last_modified": file_object["LastModified"], } ) @@ -88,7 +88,7 @@ def download_model_artifacts( # noqa: C901, PLR0915 logger.info("Selected artifact", selected_option=selected_option) - target_path = f"artifacts/{selected_option}/output/model.tar.gz" + target_path = f"artifacts/{application_name}/{selected_option}/output/model.tar.gz" destination_directory = f"applications/{application_name}/src/{application_name}/" destination_path = os.path.join(destination_directory, "model.tar.gz") # noqa: PTH118 diff --git a/tools/prepare_training_data.py b/tools/src/tools/prepare_training_data.py similarity index 96% rename from tools/prepare_training_data.py rename to tools/src/tools/prepare_training_data.py index da4d243f..4d06a240 100644 --- a/tools/prepare_training_data.py +++ b/tools/src/tools/prepare_training_data.py @@ -1,13 +1,3 @@ -"""Prepare consolidated training data from equity bars and categories. - -This script: -1. Reads equity bars from S3 (partitioned parquet) -2. Reads categories CSV from S3 -3. Joins them on ticker -4. Filters by minimum price/volume thresholds -5. Outputs consolidated parquet to S3 for SageMaker training -""" - import io import os import sys diff --git a/tools/run_training_job.py b/tools/src/tools/run_training_job.py similarity index 100% rename from tools/run_training_job.py rename to tools/src/tools/run_training_job.py diff --git a/tools/sync_equity_bars_data.py b/tools/src/tools/sync_equity_bars_data.py similarity index 100% rename from tools/sync_equity_bars_data.py rename to tools/src/tools/sync_equity_bars_data.py diff --git a/tools/sync_equity_details_data.py b/tools/src/tools/sync_equity_details_data.py similarity index 100% rename from tools/sync_equity_details_data.py rename to tools/src/tools/sync_equity_details_data.py diff --git a/tools/vulture_whitelist.py b/tools/src/tools/vulture_whitelist.py similarity index 100% rename from tools/vulture_whitelist.py rename to tools/src/tools/vulture_whitelist.py diff --git a/tools/tests/test_download_model_artifacts.py b/tools/tests/test_download_model_artifacts.py new file mode 100644 index 00000000..42a20ba4 --- /dev/null +++ b/tools/tests/test_download_model_artifacts.py @@ -0,0 +1,48 @@ +from datetime import UTC, datetime +from unittest.mock import MagicMock, patch + +from tools.download_model_artifacts import download_model_artifacts + + +def test_download_model_artifacts_github_actions_selects_latest() -> None: + mock_s3_client = MagicMock() + mock_s3_client.list_objects_v2.return_value = { + "Contents": [ + { + "Key": "artifacts/equitypricemodel/run_20250601/output/model.tar.gz", + "LastModified": datetime(2025, 6, 1, tzinfo=UTC), + } + ] + } + + mock_tar = MagicMock() + + with ( + patch( + "tools.download_model_artifacts.boto3.client", + return_value=mock_s3_client, + ), + patch("tools.download_model_artifacts.os.makedirs"), + patch("tools.download_model_artifacts.tarfile.open") as mock_tarfile_open, + ): + mock_tarfile_open.return_value.__enter__.return_value = mock_tar + + download_model_artifacts( + application_name="equitypricemodel", + artifacts_bucket="test-artifacts-bucket", + github_actions_check=True, + ) + + mock_s3_client.list_objects_v2.assert_called_once_with( + Bucket="test-artifacts-bucket", + Prefix="artifacts/equitypricemodel", + ) + mock_s3_client.download_file.assert_called_once_with( + Bucket="test-artifacts-bucket", + Key="artifacts/equitypricemodel/run_20250601/output/model.tar.gz", + Filename="applications/equitypricemodel/src/equitypricemodel/model.tar.gz", + ) + mock_tar.extractall.assert_called_once_with( + path="applications/equitypricemodel/src/equitypricemodel/", + filter="data", + ) diff --git a/tools/tests/test_prepare_training_data.py b/tools/tests/test_prepare_training_data.py new file mode 100644 index 00000000..c2b372df --- /dev/null +++ b/tools/tests/test_prepare_training_data.py @@ -0,0 +1,180 @@ +import io +from datetime import UTC, datetime +from unittest.mock import MagicMock, patch + +import polars as pl +from tools.prepare_training_data import ( + MINIMUM_CLOSE_PRICE, + MINIMUM_VOLUME, + consolidate_data, + filter_equity_bars, + prepare_training_data, + read_categories_from_s3, + read_equity_bars_from_s3, + write_training_data_to_s3, +) + +_TARGET_DATE = datetime(2025, 6, 1, tzinfo=UTC) + +_SAMPLE_EQUITY_BARS = pl.DataFrame( + { + "ticker": ["AAPL"], + "timestamp": [_TARGET_DATE], + "open_price": [148.0], + "high_price": [152.0], + "low_price": [147.0], + "close_price": [150.0], + "volume": [1_000_000], + "volume_weighted_average_price": [151.0], + } +) + +_SAMPLE_CATEGORIES = pl.DataFrame( + { + "ticker": ["AAPL"], + "sector": ["Technology"], + "industry": ["Consumer Electronics"], + } +) + + +def _to_parquet_bytes(data: pl.DataFrame) -> bytes: + buffer = io.BytesIO() + data.write_parquet(buffer) + return buffer.getvalue() + + +def _to_csv_bytes(data: pl.DataFrame) -> bytes: + return data.write_csv().encode() + + +def test_filter_equity_bars_keeps_rows_above_thresholds() -> None: + data = pl.DataFrame( + { + "close_price": [MINIMUM_CLOSE_PRICE + 1.0, 0.5], + "volume": [MINIMUM_VOLUME + 1, 50_000], + } + ) + + result = filter_equity_bars(data) + + assert len(result) == 1 + assert result["close_price"][0] == MINIMUM_CLOSE_PRICE + 1.0 + + +def test_filter_equity_bars_empty_input_returns_empty() -> None: + data = pl.DataFrame({"close_price": [], "volume": []}).cast( + {"close_price": pl.Float64, "volume": pl.Int64} + ) + + result = filter_equity_bars(data) + + assert len(result) == 0 + + +def test_consolidate_data_joins_on_ticker_and_retains_columns() -> None: + result = consolidate_data(_SAMPLE_EQUITY_BARS, _SAMPLE_CATEGORIES) + + assert len(result) == 1 + assert result["ticker"][0] == "AAPL" + assert "sector" in result.columns + assert "industry" in result.columns + + +def test_consolidate_data_excludes_unmatched_tickers() -> None: + categories = pl.DataFrame( + { + "ticker": ["MSFT"], + "sector": ["Technology"], + "industry": ["Software"], + } + ) + + result = consolidate_data(_SAMPLE_EQUITY_BARS, categories) + + assert len(result) == 0 + + +def test_read_equity_bars_from_s3_returns_dataframe() -> None: + parquet_bytes = _to_parquet_bytes(_SAMPLE_EQUITY_BARS) + + mock_body = MagicMock() + mock_body.read.return_value = parquet_bytes + mock_s3_client = MagicMock() + mock_s3_client.get_object.return_value = {"Body": mock_body} + + result = read_equity_bars_from_s3( + s3_client=mock_s3_client, + bucket_name="test-bucket", + start_date=_TARGET_DATE, + end_date=_TARGET_DATE, + ) + + assert len(result) == 1 + assert result["ticker"][0] == "AAPL" + mock_s3_client.get_object.assert_called_once() + + +def test_read_categories_from_s3_returns_dataframe() -> None: + csv_bytes = _to_csv_bytes(_SAMPLE_CATEGORIES) + + mock_body = MagicMock() + mock_body.read.return_value = csv_bytes + mock_s3_client = MagicMock() + mock_s3_client.get_object.return_value = {"Body": mock_body} + + result = read_categories_from_s3( + s3_client=mock_s3_client, + bucket_name="test-bucket", + ) + + assert len(result) == 1 + assert result["ticker"][0] == "AAPL" + mock_s3_client.get_object.assert_called_once_with( + Bucket="test-bucket", + Key="equity/details/categories.csv", + ) + + +def test_write_training_data_to_s3_returns_s3_uri() -> None: + mock_s3_client = MagicMock() + + result = write_training_data_to_s3( + s3_client=mock_s3_client, + bucket_name="test-bucket", + data=_SAMPLE_EQUITY_BARS, + output_key="training/data.parquet", + ) + + assert result == "s3://test-bucket/training/data.parquet" + mock_s3_client.put_object.assert_called_once() + call_kwargs = mock_s3_client.put_object.call_args.kwargs + assert call_kwargs["Bucket"] == "test-bucket" + assert call_kwargs["Key"] == "training/data.parquet" + + +def test_prepare_training_data_returns_s3_uri() -> None: + parquet_bytes = _to_parquet_bytes(_SAMPLE_EQUITY_BARS) + csv_bytes = _to_csv_bytes(_SAMPLE_CATEGORIES) + + mock_body_bars = MagicMock() + mock_body_bars.read.return_value = parquet_bytes + mock_body_categories = MagicMock() + mock_body_categories.read.return_value = csv_bytes + + mock_s3_client = MagicMock() + mock_s3_client.get_object.side_effect = [ + {"Body": mock_body_bars}, + {"Body": mock_body_categories}, + ] + + with patch("tools.prepare_training_data.boto3.client", return_value=mock_s3_client): + result = prepare_training_data( + data_bucket_name="test-data-bucket", + model_artifacts_bucket_name="test-artifacts-bucket", + start_date=_TARGET_DATE, + end_date=_TARGET_DATE, + ) + + assert result.startswith("s3://test-artifacts-bucket/") + mock_s3_client.put_object.assert_called_once() diff --git a/tools/tests/test_run_training_job.py b/tools/tests/test_run_training_job.py new file mode 100644 index 00000000..f2cf81ff --- /dev/null +++ b/tools/tests/test_run_training_job.py @@ -0,0 +1,44 @@ +import sys +from unittest.mock import MagicMock, patch + +# sagemaker is a runtime dependency resolved from the workspace root; it is not +# available in isolated test environments, so mock its modules before importing +# the module under test to allow pytest to collect this file. +sys.modules.setdefault("sagemaker", MagicMock()) +sys.modules.setdefault("sagemaker.estimator", MagicMock()) +sys.modules.setdefault("sagemaker.inputs", MagicMock()) +sys.modules.setdefault("sagemaker.session", MagicMock()) + +from tools.run_training_job import run_training_job # noqa: E402 + + +def test_run_training_job_calls_estimator_fit() -> None: + mock_boto3_session = MagicMock() + mock_sagemaker_session = MagicMock() + mock_estimator_instance = MagicMock() + + with ( + patch( + "tools.run_training_job.boto3.Session", + return_value=mock_boto3_session, + ), + patch( + "tools.run_training_job.Session", + return_value=mock_sagemaker_session, + ), + patch( + "tools.run_training_job.Estimator", + return_value=mock_estimator_instance, + ), + ): + run_training_job( + application_name="equitypricemodel", + trainer_image_uri="123456789.dkr.ecr.us-east-1.amazonaws.com/trainer:latest", + s3_data_path="s3://test-bucket/training/data.parquet", + iam_sagemaker_role_arn="arn:aws:iam::123456789:role/SageMakerRole", + s3_artifact_path="s3://test-bucket/artifacts", + ) + + mock_estimator_instance.fit.assert_called_once() + fit_call_args = mock_estimator_instance.fit.call_args.args[0] + assert "train" in fit_call_args diff --git a/tools/tests/test_sync_equity_bars_data.py b/tools/tests/test_sync_equity_bars_data.py new file mode 100644 index 00000000..4e0b5948 --- /dev/null +++ b/tools/tests/test_sync_equity_bars_data.py @@ -0,0 +1,84 @@ +import json +from datetime import UTC, datetime, timedelta +from unittest.mock import MagicMock, patch + +from tools.sync_equity_bars_data import ( + sync_equity_bars_data, + sync_equity_bars_for_date, + validate_and_parse_dates, +) + + +def _recent_date_range_json(days_ago_start: int = 10, days_ago_end: int = 9) -> str: + now = datetime.now(tz=UTC).replace(hour=0, minute=0, second=0, microsecond=0) + start = (now - timedelta(days=days_ago_start)).strftime("%Y-%m-%d") + end = (now - timedelta(days=days_ago_end)).strftime("%Y-%m-%d") + return json.dumps({"start_date": start, "end_date": end}) + + +def test_validate_and_parse_dates_returns_datetime_tuple() -> None: + date_range_json = _recent_date_range_json() + + start_date, end_date = validate_and_parse_dates(date_range_json) + + assert isinstance(start_date, datetime) + assert isinstance(end_date, datetime) + assert start_date.tzinfo is UTC + assert end_date.tzinfo is UTC + assert start_date <= end_date + + +def test_validate_and_parse_dates_clamps_to_current_day() -> None: + now = datetime.now(tz=UTC).replace(hour=0, minute=0, second=0, microsecond=0) + date_range_json = json.dumps( + { + "start_date": now.strftime("%Y-%m-%d"), + "end_date": now.strftime("%Y-%m-%d"), + } + ) + + _, end_date = validate_and_parse_dates(date_range_json) + + assert end_date <= now + + +def test_sync_equity_bars_for_date_returns_status_and_body() -> None: + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = '{"synced": true}' + + target_date = datetime(2025, 6, 1, tzinfo=UTC) + + with patch( + "tools.sync_equity_bars_data.requests.post", return_value=mock_response + ) as mock_post: + status_code, response_text = sync_equity_bars_for_date( + base_url="http://localhost:8080", + date=target_date, + ) + + assert status_code == 200 # noqa: PLR2004 + assert response_text == '{"synced": true}' + mock_post.assert_called_once() + call_kwargs = mock_post.call_args + assert call_kwargs.args[0] == "http://localhost:8080/equity-bars" + assert call_kwargs.kwargs["json"]["date"] == "2025-06-01T00:00:00Z" + + +def test_sync_equity_bars_data_single_date_makes_one_request() -> None: + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = "ok" + + now = datetime.now(tz=UTC).replace(hour=0, minute=0, second=0, microsecond=0) + target_date = now - timedelta(days=5) + + with patch( + "tools.sync_equity_bars_data.requests.post", return_value=mock_response + ) as mock_post: + sync_equity_bars_data( + base_url="http://localhost:8080", + date_range=(target_date, target_date), + ) + + assert mock_post.call_count == 1 diff --git a/tools/tests/test_sync_equity_details_data.py b/tools/tests/test_sync_equity_details_data.py new file mode 100644 index 00000000..8bd945b5 --- /dev/null +++ b/tools/tests/test_sync_equity_details_data.py @@ -0,0 +1,33 @@ +from unittest.mock import MagicMock, patch + +from tools.sync_equity_details_data import sync_equity_details, sync_equity_details_data + + +def test_sync_equity_details_returns_status_and_body() -> None: + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = '{"synced": true}' + + with patch( + "tools.sync_equity_details_data.requests.post", return_value=mock_response + ) as mock_post: + status_code, response_text = sync_equity_details( + base_url="http://localhost:8080" + ) + + assert status_code == 200 # noqa: PLR2004 + assert response_text == '{"synced": true}' + mock_post.assert_called_once_with( + "http://localhost:8080/equity-details", timeout=300 + ) + + +def test_sync_equity_details_data_success() -> None: + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = "ok" + + with patch( + "tools.sync_equity_details_data.requests.post", return_value=mock_response + ): + sync_equity_details_data(base_url="http://localhost:8080") diff --git a/uv.lock b/uv.lock index a186b997..73636101 100644 --- a/uv.lock +++ b/uv.lock @@ -17,76 +17,6 @@ members = [ "tools", ] -[[package]] -name = "aiohappyeyeballs" -version = "2.6.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" } -wheels = [ - { url = 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