From d555ab6a07abc56607cc97dc99f88cd8f3baf215 Mon Sep 17 00:00:00 2001 From: nlebovits Date: Thu, 19 Sep 2024 17:28:25 -0400 Subject: [PATCH 1/2] run checks --- data/src/Pipfile | 1 + data/src/Pipfile.lock | 6510 +++++++++++++------------- data/src/data_utils/park_priority.py | 138 +- data/src/test/test_data_utils.py | 127 +- 4 files changed, 3507 insertions(+), 3269 deletions(-) diff --git a/data/src/Pipfile b/data/src/Pipfile index 1435fb4b..be8a79a7 100644 --- a/data/src/Pipfile +++ b/data/src/Pipfile @@ -30,6 +30,7 @@ networkx = "*" libpysal = "*" jenkspy = "*" pyarrow = "*" +tqdm = "*" [dev-packages] diff --git a/data/src/Pipfile.lock b/data/src/Pipfile.lock index 99ebdb20..3498c849 100644 --- a/data/src/Pipfile.lock +++ b/data/src/Pipfile.lock @@ -1,3217 +1,3297 @@ { - "_meta": { - "hash": { - "sha256": "12b576071f145f5cde13a62b748d82fe6371a32f9e0fb929acd5ad207b5eb610" - }, - "pipfile-spec": 6, - "requires": { - "python_full_version": "3.11.4", - "python_version": "3.11" - }, - 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file_name_prefix + '_ParkPriorityAreas.dbf', - file_name_prefix + '_ParkPriorityAreas.shx', - file_name_prefix + '_ParkPriorityAreas.prj', - file_name_prefix + '_ParkPriorityAreas.CPG', - file_name_prefix + '_ParkPriorityAreas.sbn', - file_name_prefix + '_ParkPriorityAreas.sbx' +from tqdm import tqdm + + +def get_latest_shapefile_url() -> str: + """ + Scrapes the TPL website to get the URL of the latest shapefile. + + Returns: + str: The URL of the latest shapefile. + + Raises: + ValueError: If the shapefile link is not found on the page. + """ + url: str = "https://www.tpl.org/park-data-downloads" + response: requests.Response = requests.get(url) + soup: BeautifulSoup = BeautifulSoup(response.content, "html.parser") + + shapefile_link: Union[BeautifulSoup, None] = soup.find("a", string="Shapefile") + if shapefile_link: + return str(shapefile_link["href"]) + else: + raise ValueError("Shapefile link not found on the page") + + +def park_priority(primary_featurelayer: FeatureLayer) -> FeatureLayer: + """ + Downloads and processes park priority data, then joins it with the primary feature layer. + + This function performs the following steps: + 1. Downloads the latest shapefile from TPL. + 2. Extracts relevant files from the downloaded zip. + 3. Processes the shapefile, filtering for Philadelphia County. + 4. Creates a GeoJSON file with the processed data. + 5. Joins the processed data with the primary feature layer. + + Args: + primary_featurelayer (FeatureLayer): The primary feature layer to join with park priority data. + + Returns: + FeatureLayer: The primary feature layer with park priority data joined. + """ + park_url: str = get_latest_shapefile_url() + print(f"Downloading park priority data from: {park_url}") + + file_name_prefix: str = "Parkserve" + target_files: List[str] = [ + file_name_prefix + "_ParkPriorityAreas.shp", + file_name_prefix + "_ParkPriorityAreas.dbf", + file_name_prefix + "_ParkPriorityAreas.shx", + file_name_prefix + "_ParkPriorityAreas.prj", + file_name_prefix + "_ParkPriorityAreas.CPG", + file_name_prefix + "_ParkPriorityAreas.sbn", + file_name_prefix + "_ParkPriorityAreas.sbx", ] + geojson_path: str = "tmp/phl_parks.geojson" - geojson_path = "tmp/phl_parks.geojson" - - - shapefile_exists = all(os.path.exists(os.path.join("tmp", file_name)) for file_name in target_files) + os.makedirs("tmp/", exist_ok=True) if not os.path.exists(geojson_path): - if not shapefile_exists: - print("Downloading park priority data (slow operation)...") - zipfile_save_path = save_stream_url(park_url) - - with zipfile.ZipFile(zipfile_save_path, "r") as zip_ref: - # Extract only the necessary files - for file_name in target_files: - zip_ref.extract(file_name, "tmp/") - else: - print("Park priority files already exist in /tmp, skipping download.") - - pa_parks = gpd.read_file("tmp/" + file_name_prefix + "_ParkPriorityAreas.shp") + print("Downloading and processing park priority data...") + response: requests.Response = requests.get(park_url, stream=True) + total_size: int = int(response.headers.get("content-length", 0)) + + with tqdm( + total=total_size, unit="iB", unit_scale=True, desc="Downloading" + ) as progress_bar: + buffer: BytesIO = BytesIO() + for data in response.iter_content(1024): + size: int = buffer.write(data) + progress_bar.update(size) + + with zipfile.ZipFile(buffer) as zip_ref: + for file_name in tqdm(target_files, desc="Extracting"): + zip_ref.extract(file_name, "tmp/") + + print("Processing shapefile...") + pa_parks: gpd.GeoDataFrame = gpd.read_file( + "tmp/" + file_name_prefix + "_ParkPriorityAreas.shp" + ) pa_parks = pa_parks.to_crs(USE_CRS) - # Filter for Philadelphia County - phl_parks = pa_parks[pa_parks["ID"].str.startswith("42101")] + phl_parks: gpd.GeoDataFrame = pa_parks[pa_parks["ID"].str.startswith("42101")] + phl_parks = phl_parks.loc[:, ["ParkNeed", "geometry"]] - # Select relevant columns - modify as needed once we know the correct column names - phl_parks = phl_parks[["ParkNeed", "geometry"]] + # Print the type of phl_parks for debugging + print(f"Type of phl_parks: {type(phl_parks)}") - phl_parks.rename(columns={"ParkNeed": "park_priority"}, inplace=True) + if isinstance(phl_parks, gpd.GeoDataFrame): + phl_parks.rename(columns={"ParkNeed": "park_priority"}, inplace=True) + else: + raise TypeError( + "Expected a GeoDataFrame, got Series or another type instead" + ) - # Write the filtered data to GeoJSON - phl_parks.to_file(geojson_path, driver='GeoJSON') + print(f"Writing filtered data to GeoJSON: {geojson_path}") + phl_parks.to_file(geojson_path, driver="GeoJSON") else: - print("GeoJSON file already exists, loading from tmp.") - phl_parks = gpd.read_file(geojson_path) + print(f"GeoJSON file already exists, loading from {geojson_path}") + phl_parks: gpd.GeoDataFrame = gpd.read_file(geojson_path) - park_priority_layer = FeatureLayer("Park Priority") + park_priority_layer: FeatureLayer = FeatureLayer("Park Priority") park_priority_layer.gdf = phl_parks primary_featurelayer.spatial_join(park_priority_layer) - return primary_featurelayer - diff --git a/data/src/test/test_data_utils.py b/data/src/test/test_data_utils.py index cfd6ccc0..4b160413 100644 --- a/data/src/test/test_data_utils.py +++ b/data/src/test/test_data_utils.py @@ -1,17 +1,124 @@ -from data_utils.park_priority import park_priority +import unittest +import zipfile +from io import BytesIO +from unittest.mock import MagicMock, patch + +import geopandas as gpd +from config.config import USE_CRS +from data_utils.park_priority import get_latest_shapefile_url, park_priority from data_utils.ppr_properties import ppr_properties from data_utils.vacant_properties import vacant_properties +from shapely.geometry import Point + -class TestDataUtils: +class TestDataUtils(unittest.TestCase): """ - test methods for data utils feature layer classes + Test methods for data utils feature layer classes """ - def test_park_priority(self): - """ test the park priority layer. Simply construct the class for now to see if it works. - """ - park_priority(vacant_properties()) + + @patch("data_utils.park_priority.requests.get") + def test_get_latest_shapefile_url(self, mock_get): + """ + Test the get_latest_shapefile_url function. + """ + mock_response = MagicMock() + mock_response.content = ( + b'Shapefile' + ) + mock_get.return_value = mock_response + + url = get_latest_shapefile_url() + self.assertEqual(url, "https://example.com/shapefile.zip") + + @patch( + "data_utils.park_priority.requests.get" + ) # Mock requests.get globally in park_priority + @patch("geopandas.read_file") + @patch("geopandas.GeoDataFrame.to_file") # Mock to_file to prevent actual writing + @patch("os.path.exists") + @patch("os.makedirs") + @patch("zipfile.ZipFile.extract") + def test_park_priority( + self, + mock_extract, + mock_makedirs, + mock_exists, + mock_to_file, + mock_read_file, + mock_get, + ): + """ + Test the park_priority function with mocking. + """ + + # Simulate that the GeoJSON file does not exist + mock_exists.return_value = False + + # First call to requests.get (HTML page to get the shapefile URL) + mock_html_response = MagicMock() + mock_html_response.content = ( + b'Shapefile' + ) + + # Second call to requests.get (actual shapefile download) + mock_zip_content = BytesIO() + with zipfile.ZipFile(mock_zip_content, "w") as zf: + zf.writestr("Parkserve_ParkPriorityAreas.shp", b"mock shapefile content") + + mock_response = MagicMock() + mock_response.headers.get.return_value = "1000" # Mock content-length + mock_response.iter_content.return_value = [mock_zip_content.getvalue()] + + # Set the side effect for requests.get to return the two different responses + mock_get.side_effect = [mock_html_response, mock_response] + + # Create a real mock GeoDataFrame with geometries and a CRS + mock_gdf = gpd.GeoDataFrame( + { + "ID": ["42101ABC", "42101DEF", "12345XYZ"], + "ParkNeed": [5, 3, 1], + "geometry": [ + Point(0, 0), + Point(1, 1), + Point(2, 2), + ], # Use actual Point geometries + }, + crs=USE_CRS, # Assign the expected CRS + ) + + mock_read_file.return_value = mock_gdf # Return the mock GeoDataFrame + + # Create a mock primary feature layer + mock_primary_layer = MagicMock() + + # Run the function + result = park_priority(mock_primary_layer) + + # Assert that requests.get was called twice (once for HTML, once for shapefile) + self.assertEqual(mock_get.call_count, 2) + + # Assert that to_file was called once (simulating the write operation) + mock_to_file.assert_called_once_with("tmp/phl_parks.geojson", driver="GeoJSON") + + # Assert other function calls were made correctly + mock_read_file.assert_called_once() + mock_primary_layer.spatial_join.assert_called_once() + mock_extract.assert_called() + + self.assertEqual(result, mock_primary_layer) def test_ppr_properties(self): - """ test the ppr properties layer. Simply construct the class for now to see if it works. - """ - ppr_properties(vacant_properties()) \ No newline at end of file + """ + Test the ppr properties layer. Simply construct the class for now to see if it works. + """ + ppr_properties(vacant_properties()) + + def test_vacant_properties(self): + """ + Test the vacant properties layer. Simply construct the class to see if it works. + """ + vacant_properties() + + +if __name__ == "__main__": + unittest.main() From 77b99e7e9a0decd56a0a88f53611ac3779efbdb0 Mon Sep 17 00:00:00 2001 From: nlebovits Date: Mon, 23 Sep 2024 21:24:32 -0400 Subject: [PATCH 2/2] integrate nico's change --- data/src/test/test_data_utils.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/data/src/test/test_data_utils.py b/data/src/test/test_data_utils.py index 4b160413..ab8ed8df 100644 --- a/data/src/test/test_data_utils.py +++ b/data/src/test/test_data_utils.py @@ -16,8 +16,16 @@ class TestDataUtils(unittest.TestCase): Test methods for data utils feature layer classes """ + def test_get_latest_shapefile_url(self): + """ + Test the get_latest_shapefile_url function. + """ + url = get_latest_shapefile_url() + self.assertTrue(url.startswith("https://")) + self.assertTrue(url.endswith(".zip")) + @patch("data_utils.park_priority.requests.get") - def test_get_latest_shapefile_url(self, mock_get): + def test_get_latest_shapefile_url_mock(self, mock_get): """ Test the get_latest_shapefile_url function. """