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": {
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- },
- "pipfile-spec": 6,
- "requires": {
- "python_full_version": "3.11.4",
- "python_version": "3.11"
- },
- "sources": [
- {
- "name": "pypi",
- "url": "https://pypi.org/simple",
- "verify_ssl": true
- }
- ]
- },
- "default": {
- "affine": {
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- ],
- "markers": "python_version >= '3.7'",
- "version": "==2.4.0"
- },
- "agate": {
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- ],
- "version": "==1.9.1"
- },
- "annotated-types": {
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- ],
- "markers": "python_version >= '3.8'",
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- },
- "anyio": {
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- "markers": "python_version >= '3.8'",
- "version": "==4.4.0"
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- "argon2-cffi": {
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diff --git a/data/src/data_utils/park_priority.py b/data/src/data_utils/park_priority.py
index e4c8f2d8..953ed5b1 100644
--- a/data/src/data_utils/park_priority.py
+++ b/data/src/data_utils/park_priority.py
@@ -1,65 +1,115 @@
import os
import zipfile
+from io import BytesIO
+from typing import List, Union
import geopandas as gpd
+import requests
+from bs4 import BeautifulSoup
from classes.featurelayer import FeatureLayer
-
from config.config import USE_CRS
-from data_utils.utils import save_stream_url
-
-def park_priority(primary_featurelayer):
- park_url = 'https://parkserve.tpl.org/downloads/Parkserve_Shapefiles_05212024.zip'
-
- file_name_prefix: str = 'Parkserve'
-
- target_files = [
- 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'
+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..ab8ed8df 100644
--- a/data/src/test/test_data_utils.py
+++ b/data/src/test/test_data_utils.py
@@ -1,17 +1,132 @@
-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())
+
+ 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_mock(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()