From 4eabd965608442bab815eb887fca5ece243d222e Mon Sep 17 00:00:00 2001 From: shnmrt Date: Tue, 16 Sep 2025 12:05:51 +0200 Subject: [PATCH 01/34] test: unit tests for database module --- tests/test_database.py | 56 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 56 insertions(+) create mode 100644 tests/test_database.py diff --git a/tests/test_database.py b/tests/test_database.py new file mode 100644 index 0000000..2c105e9 --- /dev/null +++ b/tests/test_database.py @@ -0,0 +1,56 @@ +import os +import shutil +import unittest +from src.saferoad.database import DataBase + + +class TestDataBase(unittest.TestCase): + def setUp(self): + self.db = DataBase() + + def tearDown(self): + if self.db.connection: + self.db.connection.close() + # Remove the database file if it exists + if self.db.db_path and os.path.exists(self.db.db_path): + os.remove(self.db.db_path) + # Remove the directory and all its contents if it exists + if os.path.exists("SafeRoadDB"): + shutil.rmtree("SafeRoadDB") + # os.rmdir("SafeRoadDB") + + def test_setup_creates_database_file(self): + self.db.setup() + + # Check if the database file is created + self.assertIsNotNone(self.db.db_path) + self.assertTrue(os.path.exists(self.db.db_path)) + + def test_setup_raises_error_if_already_initialized(self): + self.db.setup() + + with self.assertRaises(AssertionError) as context: + self.db.setup() + self.assertIn( + "Database connection already established.", str(context.exception) + ) + + def test_run_executes_query(self): + self.db.setup() + + # Create a table and insert data + self.db.run("CREATE TABLE test_table (id INTEGER, name STRING);") + self.db.run("INSERT INTO test_table VALUES (1, 'Test Name');") + + # Verify the table exists and data is inserted + result = self.db.connection.execute("SELECT * FROM test_table;").fetchall() + self.assertEqual(result, [(1, "Test Name")]) + + def test_run_raises_error_if_no_connection(self): + with self.assertRaises(AssertionError) as context: + self.db.run("SELECT 1;") + self.assertIn("Database connection is not established.", str(context.exception)) + + +if __name__ == "__main__": + unittest.main() From 5bd6ffe9a28aefbfd69bd5db4115819b8ce6a011 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Tue, 16 Sep 2025 12:06:59 +0200 Subject: [PATCH 02/34] feat: database module --- src/saferoad/database.py | 65 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 65 insertions(+) create mode 100644 src/saferoad/database.py diff --git a/src/saferoad/database.py b/src/saferoad/database.py new file mode 100644 index 0000000..a066c06 --- /dev/null +++ b/src/saferoad/database.py @@ -0,0 +1,65 @@ +import os +import duckdb +from pathlib import Path +from datetime import datetime + + +class DataBase: + """Class for managing a DuckDB database connection. + + This class provides methods to set up a DuckDB database connection, and run SQL queries. + """ + + def __init__(self): + self.connection = None + self.db_path = None + + def setup(self): + """Setup the DuckDB database connection. + This method initializes the database path and establishes a connection + to the DuckDB database. It also loads the spatial extension if available. + + :raises AssertionError: If the database connection or path is already established. + """ + assert self.connection is None, "Database connection already established." + assert self.db_path is None, "Database path already initialized." + + self.db_path = self.init_database_path() + self.connection = duckdb.connect(self.db_path) + # Load the spatial extension if available + self.connection.install_extension("spatial") + self.connection.load_extension("spatial") + + def init_database_path(self): + """Initialize the database path. + + This method creates a directory for the database if it does not exist + and generates a filename based on the current date and time. + + :return: The path to the DuckDB database file. + :rtype: str + """ + assert self.connection is None, "Database connection already established." + assert self.db_path is None, "Database path already initialized." + + # Create a folder for the database if it does not exist + dbFolder = "SafeRoadDB" + os.makedirs(dbFolder, exist_ok=True) + filename = os.path.join( + dbFolder, f"{datetime.now().strftime('%Y%m%d%H%M')}.duckdb" + ) + return filename + + def run(self, query: str): + """Run a SQL query on the database. + + This method executes the provided SQL query on the connected database. + + :param query: The SQL query to execute. + :type query: str + :raises AssertionError: If the database connection is not established. + """ + if self.connection is None: + raise AssertionError("Database connection is not established.") + + self.connection.execute(query) From 9829d3581d0e525040c70a4b6de94b573b24bd00 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Tue, 16 Sep 2025 12:09:30 +0200 Subject: [PATCH 03/34] tests: unit tests for utility methods --- tests/test_utils.py | 134 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 134 insertions(+) create mode 100644 tests/test_utils.py diff --git a/tests/test_utils.py b/tests/test_utils.py new file mode 100644 index 0000000..a89066a --- /dev/null +++ b/tests/test_utils.py @@ -0,0 +1,134 @@ +import unittest +from datetime import datetime +from src.saferoad.utils import extract_dates, time_vector, Timer +import io +from contextlib import redirect_stdout +import time + + +class TestExtractDates(unittest.TestCase): + + def test_valid_dates(self): + column_names = ["data_20230101", "info_20221231", "value_20220101"] + expected_names = ["data_20230101", "info_20221231", "value_20220101"] + expected_dates = [ + datetime(2023, 1, 1).date(), + datetime(2022, 12, 31).date(), + datetime(2022, 1, 1).date(), + ] + result_names, result_dates = extract_dates(column_names) + self.assertEqual(result_names, expected_names) + self.assertEqual(result_dates, expected_dates) + + def test_no_dates(self): + column_names = ["data", "info", "value"] + expected_names = [] + expected_dates = [] + result_names, result_dates = extract_dates(column_names) + self.assertEqual(result_names, expected_names) + self.assertEqual(result_dates, expected_dates) + + def test_mixed_columns(self): + column_names = ["data_20230101", "info", "value_20220101"] + expected_names = ["data_20230101", "value_20220101"] + expected_dates = [ + datetime(2023, 1, 1).date(), + datetime(2022, 1, 1).date(), + ] + result_names, result_dates = extract_dates(column_names) + self.assertEqual(result_names, expected_names) + self.assertEqual(result_dates, expected_dates) + + def test_empty_list(self): + column_names = [] + with self.assertRaises(AssertionError): + extract_dates(column_names) + + def test_invalid_input_type(self): + column_names = "data_20230101" + with self.assertRaises(AssertionError): + extract_dates(column_names) + + def test_non_string_elements(self): + column_names = ["data_20230101", 123, "value_20220101"] + with self.assertRaises(AssertionError): + extract_dates(column_names) + + def test_time_vector(self): + dates = [ + datetime(2022, 1, 1), + datetime(2022, 1, 2), + datetime(2022, 1, 10), + datetime(2022, 1, 20), + ] + expected_vector = [0, 1, 9, 19] + result_vector = time_vector(dates) + self.assertEqual(result_vector, expected_vector) + + def test_time_vector_single_date(self): + dates = [datetime(2022, 1, 1)] + expected_vector = [0] + result_vector = time_vector(dates) + self.assertEqual(result_vector, expected_vector) + + def test_extract_date_with_list_numbers(self): + column_names = ["data_20230101", "info_20221231", "value_20220101", 123] + with self.assertRaises(AssertionError): + extract_dates(column_names) + + def test_extract_date_with_empty_list(self): + column_names = [] + with self.assertRaises(AssertionError): + extract_dates(column_names) + + +class TestTimer(unittest.TestCase): + + def test_timer_with_name(self): + """Test that Timer works correctly with a name parameter.""" + + # Capture stdout + f = io.StringIO() + with redirect_stdout(f): + with Timer(name="test_timer"): + time.sleep(0.1) # Sleep for a short time + + output = f.getvalue() + self.assertIn("test_timer took", output) + self.assertRegex(output, r"test_timer took \d+\.\d+ seconds") + + def test_timer_without_name(self): + """Test that Timer works correctly without a name parameter.""" + + # Capture stdout + f = io.StringIO() + with redirect_stdout(f): + with Timer(): + time.sleep(0.1) # Sleep for a short time + + # No output should be produced when name is None + output = f.getvalue() + self.assertEqual(output, "") + + def test_timer_accuracy(self): + """Test that Timer measures time with reasonable accuracy.""" + + sleep_time = 0.2 # seconds + timer = Timer("accuracy_test") + + # Measure the time manually + start_time = time.time() + with redirect_stdout(io.StringIO()): # Suppress output + with timer: + time.sleep(sleep_time) + end_time = time.time() + + elapsed_time = end_time - start_time + # Check that the elapsed time is reasonably close to sleep_time + # Allow for some overhead in timing operations + self.assertGreaterEqual(elapsed_time, sleep_time) + self.assertLess(elapsed_time, sleep_time + 0.1) # Allow 0.1s margin + + +if __name__ == "__main__": + unittest.main() From 64031e5f11b885327c62ec86100e24210f80a81e Mon Sep 17 00:00:00 2001 From: shnmrt Date: Tue, 16 Sep 2025 12:10:06 +0200 Subject: [PATCH 04/34] feat: utility functions for library --- src/saferoad/utils.py | 54 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 54 insertions(+) create mode 100644 src/saferoad/utils.py diff --git a/src/saferoad/utils.py b/src/saferoad/utils.py new file mode 100644 index 0000000..7a64cb9 --- /dev/null +++ b/src/saferoad/utils.py @@ -0,0 +1,54 @@ +import re +import time +from datetime import datetime +from dateutil import parser as dsparser + + +def extract_dates(column_names: list[str]) -> tuple[list[str], list[datetime]]: + """Extracts date fields from a list of column names. + + :param column_names: List of column names to search for dates. + :type column_names: list[str] + :return: A tuple containing two numpy arrays: one with the column names and another with the parsed date objects. + :rtype: tuple[ndarray, ndarray] + """ + assert isinstance(column_names, list), "column_names must be a list of strings" + assert all( + isinstance(name, str) for name in column_names + ), "All items in column_names must be strings" + assert len(column_names) > 0, "column_names must not be empty" + + nameFields: list = [] + dateFields: list = [] + for date in column_names: + dateSearch = re.search(r"\d{8}", date) + if dateSearch: + pdate: datetime = dsparser.parse(dateSearch.group(), fuzzy=True).date() + dateFields.append(pdate) + nameFields.append(date) + return nameFields, dateFields + + +def time_vector(dates: list[datetime]) -> list[float]: + """Generates a time vector in days from a list of datetime objects. + + :param dates: List of datetime objects. + :type dates: list[datetime] + :return: List of time differences in days from the first date. + :rtype: list[float] + """ + return [(i - dates[0]).days for i in dates] + + +class Timer(object): + """Context manager for timing code execution.""" + + def __init__(self, name=None): + self.name = name + + def __enter__(self): + self.tstart = time.time() + + def __exit__(self, type, value, traceback): + if self.name: + print("%s took %.2f seconds" % (self.name, time.time() - self.tstart)) From c1dc908c3c3048bc1ded40725b30a727bee12832 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Wed, 17 Sep 2025 10:19:48 +0200 Subject: [PATCH 05/34] tests: unit tests of pipeline module --- tests/test_pipeline.py | 317 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 317 insertions(+) create mode 100644 tests/test_pipeline.py diff --git a/tests/test_pipeline.py b/tests/test_pipeline.py new file mode 100644 index 0000000..a85fd93 --- /dev/null +++ b/tests/test_pipeline.py @@ -0,0 +1,317 @@ +import unittest +from pathlib import Path +from unittest.mock import patch, mock_open +from saferoad.pipeline import Pipeline + + +class TestPipelineProcessing(unittest.TestCase): + + def test_load_file(self): + # Mock Path.exists to always return True + with patch("pathlib.Path.exists", return_value=True): + # Test CSV file + query = Pipeline.Processing.load_file("test.csv", "test_table") + self.assertIn("read_csv_auto", query) + self.assertIn("test_table", query) + + # Test non-CSV file + query = Pipeline.Processing.load_file("test.shp", "test_table") + self.assertIn("ST_Read", query) + self.assertIn("test_table", query) + + # Test file not found + with patch("pathlib.Path.exists", return_value=False): + with self.assertRaises(AssertionError): + Pipeline.Processing.load_file("nonexistent.csv", "test_table") + + def test_dissolve_features(self): + # Test with attribute + query = Pipeline.Processing.dissolve_features("test_attr", "test_table") + self.assertIn("GROUP BY test_attr", query) + self.assertIn("test_table", query) + + # Test without attribute + query = Pipeline.Processing.dissolve_features("", "test_table") + self.assertNotIn("GROUP BY", query) + self.assertIn("test_table", query) + + def test_split_to_segments(self): + query = Pipeline.Processing.split_to_segments(10.0, "test_table") + self.assertIn("10.0", query) + self.assertIn("test_table", query) + self.assertIn("CREATE OR REPLACE TABLE segments", query) + + def test_generate_patches(self): + # Test with valid parameters + query = Pipeline.Processing.generate_patches(5.0, 10.0, "test_segments") + self.assertIn("5.0", query) + self.assertIn("10.0", query) + self.assertIn("test_segments", query) + + # Test with invalid width + with self.assertRaises(AssertionError): + Pipeline.Processing.generate_patches(0, 10.0) + + # Test with invalid length + with self.assertRaises(AssertionError): + Pipeline.Processing.generate_patches(5.0, 0) + + def test_spatial_transformation(self): + query = Pipeline.Processing.spatial_tranformation( + "EPSG:4326", "EPSG:3857", "test_table" + ) + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) + self.assertIn("test_table", query) + + def test_build_geometry(self): + query = Pipeline.Processing.build_geometry("lat", "lon", "test_table") + self.assertIn("lat", query) + self.assertIn("lon", query) + self.assertIn("test_table", query) + self.assertIn("ST_Point", query) + + def test_relate_point_patches(self): + query = Pipeline.Processing.relate_point_patches("test_points", "test_patches") + self.assertIn("test_points", query) + self.assertIn("test_patches", query) + self.assertIn("ST_Within", query) + + def test_calc_point_density(self): + query = Pipeline.Processing.calc_point_density("test_points", "test_patches") + self.assertIn("test_points", query) + self.assertIn("test_patches", query) + self.assertIn("ps_density", query) + + def test_get_column_names(self): + query = Pipeline.Processing.get_column_names("test_table") + self.assertIn("test_table", query) + self.assertIn("column_name", query) + + def test_calc_cum_disp(self): + dates = ["date1", "date2", "date3"] + query = Pipeline.Processing.calc_cum_disp(dates, "test_table") + self.assertIn("date1", query) + self.assertIn("date3", query) + self.assertIn("test_table", query) + + def test_calc_avg_cum_disp(self): + query = Pipeline.Processing.calc_avg_cum_disp() + self.assertIn("avg_cum_disp", query) + self.assertIn("AVG(displacement)", query) + + def test_calc_avg_velocity(self): + time_vector = [0, 10, 20] + fields = ["field1", "field2", "field3"] + query = Pipeline.Processing.calc_avg_velocity(time_vector, fields, "test_table") + for field in fields: + self.assertIn(field, query) + self.assertIn("test_table", query) + self.assertIn("avg_velocity_gcp", query) + + def test_calc_avg_disp_ts_gcp(self): + date_fields = ["date1", "date2", "date3"] + query = Pipeline.Processing.calc_avg_disp_ts_gcp(date_fields) + for date in date_fields: + self.assertIn(date, query) + self.assertIn("avg_disp_ts_gcp", query) + + def test_calc_std_disp_ts_gcp(self): + date_fields = ["date1", "date2", "date3"] + query = Pipeline.Processing.calc_std_disp_ts_gcp(date_fields) + for date in date_fields: + self.assertIn(date, query) + self.assertIn("std_disp_ts_gcp", query) + + def test_select_lcps(self): + query = Pipeline.Processing.select_lcps("test_table") + self.assertIn("test_table", query) + self.assertIn("lcp_uid", query) + + def test_calc_lcp_velocity(self): + query = Pipeline.Processing.calc_lcp_velocity() + self.assertIn("lcp_velocity", query) + self.assertIn("avg_velocity_gcp", query) + + def test_calc_avg_velocity_gcp(self): + query = Pipeline.Processing.calc_avg_velocity_gcp("test_table") + self.assertIn("test_table", query) + self.assertIn("avg_gcp_velocity", query) + + def test_calc_avg_std_disp_ts_lcp(self): + date_fields = ["date1", "date2", "date3"] + query = Pipeline.Processing.calc_avg_std_disp_ts_lcp(date_fields, "test_table") + for date in date_fields: + self.assertIn(date, query) + self.assertIn("test_table", query) + self.assertIn("avg_disp_ts_lcp", query) + self.assertIn("std_disp_ts_lcp", query) + + def test_calc_avg_velocity_lcp(self): + query = Pipeline.Processing.calc_avg_velocity_lcp("test_table") + self.assertIn("test_table", query) + self.assertIn("avg_velocity_lcp", query) + + def test_calc_avg_lcp_velocity(self): + query = Pipeline.Processing.calc_avg_lcp_velocity("test_table") + self.assertIn("test_table", query) + self.assertIn("avg_lcp_velocity", query) + + def test_calc_outliers(self): + query = Pipeline.Processing.calc_outliers(1000.0, "test_table") + self.assertIn("test_table", query) + self.assertIn("outlier_uid", query) + self.assertIn("1000.0", query) + + def test_lcp_ts_patch(self): + date_fields = ["date1", "date2", "date3"] + query = Pipeline.Processing.lcp_ts_patch(date_fields, "test_table") + for date in date_fields: + self.assertIn(date, query) + self.assertIn("test_table", query) + self.assertIn("lcp_disp_ts", query) + + def test_outlier_ts_patch(self): + date_fields = ["date1", "date2", "date3"] + query = Pipeline.Processing.outlier_ts_patch(date_fields, "test_table") + for date in date_fields: + self.assertIn(date, query) + self.assertIn("test_table", query) + self.assertIn("outlier_disp_ts", query) + + def test_outlier_rel_ts_patch(self): + query = Pipeline.Processing.outlier_rel_ts_patch() + self.assertIn("outlier_rel_ts", query) + self.assertIn("outlier_disp_ts", query) + self.assertIn("lcp_disp_ts", query) + + +class TestPipelineVisualisation(unittest.TestCase): + + def test_get_table_bbox(self): + query = Pipeline.Visualisation.get_table_bbox("test_table", "EPSG:4326") + self.assertIn("test_table", query) + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + + def test_get_ps_density(self): + query = Pipeline.Visualisation.get_ps_density("EPSG:4326") + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("ps_density", query) + + def test_get_outliers_map(self): + query = Pipeline.Visualisation.get_outliers_map("EPSG:4326", 1000.0) + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("1000.0", query) + self.assertIn("avg_velocity_lcp", query) + + def test_get_cum_disp_map(self): + query = Pipeline.Visualisation.get_cum_disp_map("EPSG:4326", 1000.0) + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("1000.0", query) + self.assertIn("avg_cum_disp", query) + + def test_get_ps_vel_gcp(self): + query = Pipeline.Visualisation.get_ps_vel_gcp("EPSG:4326", 1000.0) + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("1000.0", query) + self.assertIn("avg_velocity_gcp", query) + + def test_get_ps_vel_lcp(self): + query = Pipeline.Visualisation.get_ps_vel_lcp("EPSG:4326", 1000.0) + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("1000.0", query) + self.assertIn("avg_velocity_lcp", query) + + def test_get_outlier_zoom(self): + query = Pipeline.Visualisation.get_outlier_zoom("EPSG:4326") + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("outlier_uid", query) + + def test_get_ps_points(self): + query = Pipeline.Visualisation.get_ps_points(123, "EPSG:4326", "test_table") + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("test_table", query) + self.assertIn("123", query) + + def test_get_center(self): + query = Pipeline.Visualisation.get_center(123, "EPSG:4326") + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("123", query) + self.assertIn("ST_Centroid", query) + + def test_get_patch_center(self): + query = Pipeline.Visualisation.get_patch_center(123, "EPSG:4326") + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("123", query) + self.assertIn("ST_Centroid", query) + + def test_get_lcp_point(self): + query = Pipeline.Visualisation.get_lcp_point(123, "EPSG:4326") + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("123", query) + self.assertIn("lcp_uid", query) + + def test_get_outlier_point(self): + query = Pipeline.Visualisation.get_outlier_point(123, "EPSG:4326") + self.assertIn("EPSG:4326", query) + self.assertIn("EPSG:3857", query) # Default projection + self.assertIn("123", query) + self.assertIn("outlier_uid", query) + + def test_get_cum_disp_graph(self): + query = Pipeline.Visualisation.get_cum_disp_graph(123, 1000.0) + self.assertIn("123", query) + self.assertIn("1000.0", query) + self.assertIn("outlier_disp_ts", query) + + def test_get_avg_cum_disp_graph(self): + query = Pipeline.Visualisation.get_avg_cum_disp_graph(123, 1000.0) + self.assertIn("123", query) + self.assertIn("1000.0", query) + self.assertIn("avg_disp_ts_gcp", query) + + def test_get_std_cum_disp_graph(self): + query = Pipeline.Visualisation.get_std_cum_disp_graph(123, 1000.0) + self.assertIn("123", query) + self.assertIn("1000.0", query) + self.assertIn("std_disp_ts_gcp", query) + + def test_get_lcp_disp_graph(self): + query = Pipeline.Visualisation.get_lcp_disp_graph(123, 1000.0) + self.assertIn("123", query) + self.assertIn("1000.0", query) + self.assertIn("lcp_disp_ts", query) + + def test_get_avg_disp_lcp_graph(self): + query = Pipeline.Visualisation.get_avg_disp_lcp_graph(123, 1000.0) + self.assertIn("123", query) + self.assertIn("1000.0", query) + self.assertIn("avg_disp_ts_lcp", query) + + def test_get_std_disp_lcp_graph(self): + query = Pipeline.Visualisation.get_std_disp_lcp_graph(123, 1000.0) + self.assertIn("123", query) + self.assertIn("1000.0", query) + self.assertIn("std_disp_ts_lcp", query) + + def test_get_outlier_rel_ts_graph(self): + query = Pipeline.Visualisation.get_outlier_rel_ts_graph(123, 1000.0) + self.assertIn("123", query) + self.assertIn("1000.0", query) + self.assertIn("outlier_rel_ts", query) + + def test_patch_uids(self): + query = Pipeline.Visualisation.patch_uids() + self.assertIn("uid", query) + self.assertIn("outlier_uid IS NOT NULL", query) From df48858be7601141805d0abc188fdb04455a7064 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Thu, 18 Sep 2025 10:06:25 +0200 Subject: [PATCH 06/34] feat: pipelines for data processing and plotting --- src/saferoad/pipeline.py | 1298 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 1298 insertions(+) create mode 100644 src/saferoad/pipeline.py diff --git a/src/saferoad/pipeline.py b/src/saferoad/pipeline.py new file mode 100644 index 0000000..632f74e --- /dev/null +++ b/src/saferoad/pipeline.py @@ -0,0 +1,1298 @@ +from pathlib import Path + + +class Pipeline: + class Processing: + """Processing class for processing road data. + + This class provides methods to load files into a database, dissolve features, + split lines into segments, generate patches, and save tables as GeoJSON files. + It assumes that the database connection is already established and that the + necessary SQL functions for spatial operations are available. + The methods in this class generate SQL queries that can be executed against + a spatial database, such as DuckDB. + + The class does not handle database connections or query execution directly; + it only generates the SQL queries as strings. + The methods are static and can be called without instantiating the class. + The class is designed to be used in a pipeline for processing road data, + where each method can be chained together to perform a series of operations + on the road data. + + The methods assume that the input data is already in a suitable format for + processing, such as a GIS vector file for loading into a database or a table + containing road geometries for dissolving and segmenting. + The class is intended to be used in conjunction with a spatial database + that supports SQL queries for spatial operations, such as DuckDB with + the Spatial extension or PostGIS. + The methods are designed to be flexible and can be adapted to different + use cases by modifying the parameters passed to them. + """ + + @staticmethod + def load_file(file_path: str, table_name: str) -> str: + """Load a file into a database table. + + Method validates the provided file path and determines if existing + and determines the appropriate loading method based on the file type. + + + :param file_path: The path to the file to be loaded. + :type file_path: str + :param table_name: The name of the table to create or replace in the database. + :type table_name: str + + :raises AssertionError: If the file does not exist. + :return: SQL query string to create or replace the table with the file data. + :rtype: str + + """ + + assert Path(file_path).exists(), f"File {file_path} does not exist." + + loader_method = ( + "read_csv_auto" if Path(file_path).suffix == ".csv" else "ST_Read" + ) + query = f""" + CREATE OR REPLACE TABLE '{table_name}' AS SELECT * FROM {loader_method}('{file_path}'); + CREATE OR REPLACE SEQUENCE {table_name}_id; + ALTER TABLE '{table_name}' ADD COLUMN uid INTEGER DEFAULT nextval('{table_name}_id'); + """ + return query + + @staticmethod + def dissolve_features(attribute: str, table_name: str) -> str: + """Dissolve features in a table based on a specified attribute. + + This method generates an SQL query to dissolve features in a table + based on the provided attribute. It assumes the table is already loaded + into the database. + + :param attribute: The attribute to dissolve features by. + :type attribute: str + :param table_name: The name of the table containing the features, default is "road". + :type table_name: str + + :return: SQL query string to dissolve features. + :rtype: str + """ + + group_expression = f"GROUP BY {attribute}, " if attribute else "" + + return f""" + CREATE OR REPLACE TABLE dissolved AS + SELECT UNNEST(ST_Dump(ST_LineMerge(ST_Union_Agg(geom))), recursive := true) as geom + FROM {table_name} {group_expression} + """ + + @staticmethod + def split_to_segments( + segment_length: float, table_name: str = "dissolved" + ) -> str: + """Split lines into segments of a specified length. + + This method generates an SQL query to split lines in a table into segments + of a specified length. It transforms the geometries to a computational + coordinate reference system (CRS) and calculates the lengths in meters. + The segments are created by generating windows of fixed length along the lines. + The resulting segments are stored in a new table named "segments". + The method assumes that the input table is already dissolved and contains + geometries in a suitable format. + + The segments are created by cutting the lines into fixed-length segments + and filtering out any empty geometries. + This method is useful for preparing road segments for further analysis or processing. + It is particularly useful in road network analysis, where roads need to be + divided into manageable segments for tasks such as traffic analysis, road condition + assessment, or infrastructure planning. + + :param segment_length: The length of each segment in meters. + :type segment_length: float + :param computational_crs: The coordinate reference system to use for calculations. + :type computational_crs: str + :param table_name: The name of the table containing the lines, default is "dissolved". + :type table_name: str + :return: SQL query string to create or replace the segments table. + :rtype: str + """ + computational_crs = None + query = f""" + CREATE OR REPLACE TABLE segments AS + -- transform to local projection system + -- and calculate length in meters + WITH measured AS ( + SELECT + -- ST_Transform(geom, 'EPSG:4326', '{computational_crs}', always_xy := true) AS geom_m, + -- ST_Length(ST_Transform(geom, 'EPSG:4326', '{computational_crs}', always_xy := true)) AS len_m + geom, + ST_Length(geom) AS len_m + FROM {table_name} + ), + -- generate windows of fixed length + windows AS ( + SELECT + + m.geom, + m.len_m, + -- start distance (meters) + (i * CAST({segment_length} AS DOUBLE)) AS s, + -- end distance (meters), capped at total length + LEAST((i + 1) * CAST({segment_length} AS DOUBLE), m.len_m) AS e + FROM measured AS m + JOIN LATERAL generate_series( + 0, + CAST(CEIL(m.len_m / CAST({segment_length} AS DOUBLE)) AS BIGINT) - 1 + ) AS g(i) ON TRUE + WHERE m.len_m > 0 + ), + -- cut the lines into segments + cut AS ( + SELECT + + ST_LineSubstring( + geom, + s / NULLIF(len_m, 0), + e / NULLIF(len_m, 0) + ) AS geom + FROM windows + WHERE len_m > 0 + ) + -- filter out empty geometries + SELECT + geom + FROM cut + WHERE NOT ST_IsEmpty(geom); + """ + return query + + @staticmethod + def generate_patches( + width: float, length: float, table_name: str = "segments" + ) -> str: + """Generate patches from segments. + + This method generates patches from segments by creating a rectangular + envelope around each segment, rotated to align with the segment's direction. + The patches are created by translating and rotating the envelope to the + start point of the segment, ensuring that each patch is oriented correctly + along the segment's direction. + + :param width: The width of the patches in meters. + :type width: float + :param length: The length of the patches in meters. + :type length: float + :param table_name: The name of the table containing the segments, default is "segments". + :type table_name: str + :return: SQL query string to create or replace the patches table. + :rtype: str + """ + assert width > 0, "Width must be greater than 0." + assert length > 0, "Length must be greater than 0." + query = f""" + CREATE OR REPLACE TABLE patches AS + SELECT + ST_Translate( + ST_RotateZ( + ST_MakeEnvelope(-{width} / 2, 0, {width} / 2, {length}), + -ST_Azimuth(ST_StartPoint(geom), ST_EndPoint(geom)) + ), + ST_X(ST_StartPoint(geom)), ST_Y(ST_StartPoint(geom)) + ) AS geom + FROM {table_name}; + CREATE OR REPLACE SEQUENCE patches_id; + ALTER TABLE patches ADD COLUMN uid INTEGER DEFAULT nextval('patches_id'); + """ + return query + + # @staticmethod + # def save_table_as_geojson(table_name: str, output_path: str) -> str: + # """Save a table as a GeoJSON file. + # This method generates an SQL query to save the contents of a table + # as a GeoJSON file. It assumes that the table contains geometries in a + # format compatible with GeoJSON and that the output path is a valid file path. + + # :param table_name: The name of the table to save as GeoJSON. + # :type table_name: str + # :param output_path: The path where the GeoJSON file will be saved. + # :type output_path: str + # :raises AssertionError: If the output path does not exist. + # :return: SQL query string to save the table as a GeoJSON file. + # :rtype: str + # """ + # assert Path( + # output_path + # ).parent.exists(), f"Directory {Path(output_path).parent} does not exist." + + # return f""" + # COPY (SELECT * FROM {table_name}) TO '{output_path}' (FORMAT GDAL, DRIVER 'GeoJSON', OVERWRITE TRUE); + # """ + + @staticmethod + def spatial_tranformation( + source_epsg: str, target_epsg: str, table_name: str + ) -> str: + """Transform geometries from one EPSG code to another. + + This method generates an SQL query to transform geometries in a table + from one EPSG code to another. It assumes that the input table contains + geometries in the source EPSG code and that the target EPSG code is valid. + + :param source_epsg: The source EPSG code of the geometries. + :type source_epsg: str + :param target_epsg: The target EPSG code to transform the geometries to. + :type target_epsg: str + :param table_name: The name of the table containing the geometries, default is "patches". + :type table_name: str + + :return: SQL query string to transform the geometries. + :rtype: str + """ + + return f""" + UPDATE '{table_name}' SET geom = ST_Transform(geom, '{source_epsg}', '{target_epsg}', always_xy := true); + """ + + @staticmethod + def build_geometry(latitude: str, longitude: str, table_name: str) -> str: + """Build a geometry from latitude and longitude coordinates. + + This method generates an SQL query to build a geometry column in a table + from latitude and longitude coordinates. It assumes that the input table + contains columns for latitude and longitude. + + :param latitude: The name of the column containing latitude values. + :type latitude: str + :param longitude: The name of the column containing longitude values. + :type longitude: str + :param table_name: The name of the table to add the geometry column to. + :type table_name: str + :return: SQL query string to build the geometry column. + :rtype: str + """ + return f""" + ALTER TABLE {table_name} ADD COLUMN geom GEOMETRY; + UPDATE {table_name} SET geom = ST_Point({longitude}, {latitude}); + """ + + @staticmethod + def relate_point_patches(point_name: str, patch_name: str = "patches") -> str: + """Relate points to patches by assigning patch IDs to points. + + This method generates an SQL query to relate points in one table to patches + in another table by assigning patch IDs to points based on their spatial + relationship. It assumes that the point table contains a geometry column + and that the patch table contains a geometry column and a unique identifier + for each patch. + + :param point_name: The name of the table containing the points. + :type point_name: str + :param patch_name: The name of the table containing the patches, default is "patches". + :type patch_name: str + :return: SQL query string to relate points to patches. + :rtype: str + """ + return f""" + ALTER TABLE {point_name} ADD COLUMN patch_id INTEGER; + UPDATE {point_name} + SET patch_id = subquery.uid + FROM ( + SELECT first.uid AS point_uid, second.uid AS uid + FROM {point_name} AS first + JOIN {patch_name} AS second + ON ST_Within(first.geom, second.geom) + ) AS subquery + WHERE {point_name}.uid = subquery.point_uid; + """ + + @staticmethod + def calc_point_density(point_name: str, patch_name: str = "patches") -> str: + """Calculate point density per patch. + + This method generates an SQL query to calculate the point density per patch + by counting the number of points within each patch and dividing by the area + of the patch in square kilometers. It assumes that the point table contains + a geometry column and that the patch table contains a geometry column and + a unique identifier for each patch. + + :param point_name: The name of the table containing the points. + :type point_name: str + :param patch_name: The name of the table containing the patches, default is "patches". + :type patch_name: str + :return: SQL query string to calculate point density per patch. + :rtype: str + """ + return f""" + -- calculate the point count and density per patch + ALTER TABLE {patch_name} ADD COLUMN point_count INTEGER; + ALTER TABLE {patch_name} ADD COLUMN ps_density FLOAT DEFAULT 0.0; + + UPDATE {patch_name} + SET point_count = subquery.point_count, + ps_density = subquery.point_count / (ST_Area(subquery.geom) / 1_000_000.0) + FROM ( + SELECT second.uid AS patch_id, COUNT(first.uid) AS point_count, second.geom + FROM {point_name} AS first + JOIN {patch_name} AS second + ON ST_Within(first.geom, second.geom) + GROUP BY second.uid, second.geom + ) AS subquery + WHERE {patch_name}.uid = subquery.patch_id; + """ + + @staticmethod + def get_column_names(table_name: str) -> str: + """Get column names from a table. + + This method generates an SQL query to retrieve the column names from a specified table. + + :param table_name: The name of the table to retrieve column names from. + :type table_name: str + :return: SQL query string to get the column names. + :rtype: str + """ + return f""" + SELECT column_name FROM (DESCRIBE {table_name}); + """ + + @staticmethod + def calc_cum_disp(dates: list[str], table_name: str = "pspoint") -> str: + """Calculate cumulative displacement. + + This method generates an SQL query to calculate the cumulative displacement + for each point in a table based on the provided date fields. It assumes that + the input table contains columns for displacement values at different dates. + + :param dates: List of column names representing dates. + :type dates: list[str] + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to calculate cumulative displacement. + :rtype: str + """ + return f""" + ALTER TABLE {table_name} ADD COLUMN displacement FLOAT; + UPDATE {table_name} + SET displacement = first.disp + FROM ( + SELECT uid, {dates[-1]} - {dates[0]} as disp + FROM {table_name} + ) as first + JOIN {table_name} as second + ON first.uid = second.uid + WHERE {table_name}.uid = first.uid; + """ + + @staticmethod + def calc_avg_cum_disp() -> str: + """Calculate average cumulative displacement per patch. + + This method generates an SQL query to calculate the average cumulative + displacement for each patch by averaging the displacement values of points + within each patch. It assumes that the point table contains a geometry column, + a displacement column, and that the patch table contains a geometry column + and a unique identifier for each patch. + + :return: SQL query string to calculate average cumulative displacement per patch. + :rtype: str + """ + return f""" + ALTER TABLE patches ADD COLUMN avg_cum_disp DOUBLE DEFAULT 0.0; + UPDATE patches + SET avg_cum_disp = ( + SELECT AVG(displacement) + FROM pspoint + WHERE patch_id = patches.uid + ); + """ + + @staticmethod + def calc_avg_velocity( + time_vector: list[float], + field_names: list[str], + table_name: str = "pspoint", + ) -> str: + """Calculate average velocity using linear regression. + + This method generates an SQL query to calculate the average velocity for + each point in a table using linear regression on displacement values over time. + It assumes that the input table contains columns for displacement values at different dates and that the time vector is provided in days. + + :param time_vector: List of time differences in days from the first date. + :type time_vector: list[float] + :param field_names: List of column names representing displacement values at different dates. + :type field_names: list[str] + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to calculate average velocity. + :rtype: str + """ + x_vals_sql = "[" + ", ".join(map(str, time_vector)) + "]::DOUBLE[]" + + y_fields_sql = ( + "[" + ", ".join(f"CAST({c} AS DOUBLE)" for c in field_names) + "]" + ) + + return f""" + ALTER TABLE {table_name} ADD COLUMN avg_velocity_gcp DOUBLE; + WITH pairs AS ( + SELECT + uid, + list_element({y_fields_sql}, idx) as y, + list_element({x_vals_sql}, idx) as x, + patch_id + FROM {table_name} + CROSS JOIN UNNEST(range(1, {len(field_names)} + 1)) AS u(idx) + WHERE patch_id IS NOT NULL + ), + slopes AS ( + SELECT + uid, + regr_slope(y, x) AS slope + FROM pairs + WHERE y IS NOT NULL AND x IS NOT NULL + GROUP BY uid + ) + UPDATE {table_name} AS t + SET avg_velocity_gcp = s.slope * 365.25 -- convert from per day to per year + FROM slopes AS s + WHERE t.uid = s.uid; + """ + + @staticmethod + def calc_avg_disp_ts_gcp(date_fields: list[str]): + """Calculate average displacement time series for patches (Average Local Displacement (ALD)). + + This method generates an SQL query to calculate the average displacement + time series for each patch by averaging the displacement values of points within each patch for the specified date fields. + It assumes that the point table contains a geometry column, displacement columns for each date field, and that the patch table contains a geometry column and a unique identifier for each patch. + + :param date_fields: List of column names representing displacement values at different dates. + :type date_fields: list[str] + :return: SQL query string to calculate average displacement time series per patch. + :rtype: str + """ + expression = ", ".join([f"AVG({i})" for i in (date_fields)]) + + return f""" + ALTER TABLE patches ADD COLUMN avg_disp_ts_gcp DOUBLE[]; + UPDATE patches + SET avg_disp_ts_gcp = subquery.disp_ts + FROM ( + SELECT + patch_id, + ARRAY[{expression}] AS disp_ts + FROM pspoint + WHERE patch_id IS NOT NULL + GROUP BY patch_id + ) AS subquery + WHERE patches.uid = subquery.patch_id; + """ + + @staticmethod + def calc_std_disp_ts_gcp(date_fields: list[str]): + """Calculate standard deviation of displacement time series for patches based on global control point (GCP). + + This method generates an SQL query to calculate the standard deviation + of displacement time series for each patch by computing the standard deviation of displacement values of points within each patch for the specified date fields. + + :param date_fields: List of column names representing displacement values at different dates. + :type date_fields: list[str] + :return: SQL query string to calculate standard deviation of displacement time series per patch. + :rtype: str + """ + + expression = ", ".join([f"stddev_pop({i})" for i in (date_fields)]) + + return f""" + ALTER TABLE patches ADD COLUMN std_disp_ts_gcp DOUBLE[]; + UPDATE patches + SET std_disp_ts_gcp = subquery.disp_ts + FROM ( + SELECT + patch_id, + ARRAY[{expression}] AS disp_ts + FROM pspoint + WHERE patch_id IS NOT NULL + GROUP BY patch_id + ) AS subquery + WHERE patches.uid = subquery.patch_id; + """ + + @staticmethod + def select_lcps(table_name: str = "pspoint") -> str: + """Select linear control points (LCPs) for patches. + + This method generates an SQL query to select linear control points (LCPs) for each patch by identifying the point with the minimum absolute average velocity within each patch. + + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to select LCPs for patches. + :rtype: str + """ + + return f""" + ALTER TABLE patches ADD COLUMN lcp_uid INTEGER; + WITH min_velocities AS ( + SELECT + patch_id, + MIN(ABS(avg_velocity_gcp)) AS min_velocity + FROM {table_name} + WHERE patch_id IS NOT NULL + GROUP BY patch_id + ) + UPDATE patches + SET lcp_uid = subquery.uid + FROM ( + SELECT + p.patch_id, + p.uid + FROM {table_name} AS p + JOIN min_velocities AS mv + ON p.patch_id = mv.patch_id + AND ABS(p.avg_velocity_gcp) = mv.min_velocity + ) AS subquery + WHERE patches.uid = subquery.patch_id; + """ + + @staticmethod + def calc_lcp_velocity() -> str: + """Calculate LCP velocity for patches. + + This method generates an SQL query to calculate the velocity of the linear control point (LCP) for each patch by retrieving the average velocity of the point identified as the LCP. + + :return: SQL query string to calculate LCP velocity for patches. + :rtype: str + """ + return f""" + ALTER TABLE patches ADD COLUMN lcp_velocity FLOAT; + WITH subquery AS ( + SELECT patch_id, avg_velocity_gcp + FROM pspoint + WHERE uid IN ( + SELECT lcp_uid + FROM patches + WHERE lcp_uid IS NOT NULL + ) + ) + UPDATE patches + SET lcp_velocity = subquery.avg_velocity_gcp + FROM subquery + WHERE patches.uid = subquery.patch_id; + """ + + @staticmethod + def calc_avg_velocity_gcp(table_name: str = "pspoint") -> str: + """Calculate average velocity based on ground control points (GCPs) for patches. + + This method generates an SQL query to calculate the average velocity for each patch based on the average velocities of points within each patch. + + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to calculate average velocity based on GCPs for patches. + :rtype: str + """ + + return f""" + ALTER TABLE patches ADD COLUMN avg_gcp_velocity FLOAT; + UPDATE patches + SET avg_gcp_velocity = subquery.avg_vel + FROM ( + SELECT + patch_id, + AVG(avg_velocity_gcp) AS avg_vel + FROM {table_name} + WHERE patch_id IS NOT NULL + GROUP BY patch_id + ) AS subquery + WHERE patches.uid = subquery.patch_id + """ + + @staticmethod + def calc_avg_std_disp_ts_lcp( + date_fields: list[str], table_name: str = "pspoint" + ) -> str: + """Calculate average and standard deviation of displacement time series based on LCPs. + + This method generates an SQL query to calculate the average and standard + deviation of displacement time series for each patch based on the displacement + values of points within each patch relative to the local control point (LCP). + It assumes that the point table contains columns for displacement values at + different dates and that the patch table contains a geometry column and a unique + identifier for each patch. + + :param date_fields: List of column names representing displacement values at different dates. + :type date_fields: list[str] + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to calculate average and standard deviation of displacement time series based on LCPs. + :rtype: str + """ + expression_to_select_date_fields = ( + "[" + ", ".join([i for i in date_fields]) + "]" + ) + indices = range(1, len(date_fields) + 1) + expression_to_explode = ",".join( + f"list_extract(displacement, {i}) as {date_fields[i-1]}" + for i in indices + ) + expresion_for_avg_per_date = ", ".join([f"AVG({i})" for i in date_fields]) + expresion_for_std_per_date = ", ".join( + [f"stddev_pop({i})" for i in date_fields] + ) + return f""" + ALTER TABLE patches ADD COLUMN avg_disp_ts_lcp DOUBLE[]; + ALTER TABLE patches ADD COLUMN std_disp_ts_lcp DOUBLE[]; + WITH y as ( + SELECT patch_id, {expression_to_select_date_fields} as y + FROM {table_name} + WHERE patch_id IS NOT NULL + ), + x as ( + SELECT patch_id, {expression_to_select_date_fields} as x + FROM {table_name} + WHERE uid IN (SELECT lcp_uid FROM patches WHERE lcp_uid IS NOT NULL) + ), + process as ( + SELECT + x.patch_id, + list_transform(list_zip(y.y, x.x), arr -> arr[1] - arr[2]) as displacement + FROM x + JOIN y + ON x.patch_id = y.patch_id + ), + exploded AS ( + SELECT + patch_id, + {expression_to_explode} + FROM process + ), + final AS ( + SELECT + patch_id, + ARRAY[{expresion_for_avg_per_date}] AS avg_disp_ts_lcp, + ARRAY[{expresion_for_std_per_date}] AS std_disp_ts_lcp + FROM exploded + GROUP BY patch_id + ) + UPDATE patches + SET avg_disp_ts_lcp = final.avg_disp_ts_lcp, + std_disp_ts_lcp = final.std_disp_ts_lcp + FROM final + WHERE patches.uid = final.patch_id; + """ + + @staticmethod + def calc_avg_velocity_lcp(table_name: str = "pspoint") -> str: + """Calculate average velocity based on local control points (LCPs) for points. + + This method generates an SQL query to calculate the average velocity for each point + based on the average velocity of the local control point (LCP) associated with the patch + to which the point belongs. It assumes that the point table contains a geometry column, + an average velocity column based on ground control points (GCPs), and that the patch table + contains a geometry column, a unique identifier for each patch, and the average velocity + of the LCP. + + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to calculate average velocity based on LCPs for points. + :rtype: str + """ + return f""" + ALTER TABLE {table_name} ADD COLUMN avg_velocity_lcp DOUBLE; + WITH y AS ( + SELECT uid, patch_id, avg_velocity_gcp + FROM {table_name} + WHERE patch_id IS NOT NULL + ), + x AS ( + SELECT uid, lcp_velocity, lcp_uid + FROM patches + WHERE lcp_uid IS NOT NULL + ) + UPDATE {table_name} + SET avg_velocity_lcp = subquery.avg_velocity_lcp + FROM ( + SELECT + y.avg_velocity_gcp - x.lcp_velocity AS avg_velocity_lcp, + y.uid as uid + FROM x + JOIN y ON x.uid = y.patch_id + ) AS subquery + WHERE {table_name}.uid = subquery.uid; + """ + + @staticmethod + def calc_avg_lcp_velocity(table_name: str = "pspoint") -> str: + """Calculate average LCP velocity per patch. + + This method generates an SQL query to calculate the average velocity of + local control points (LCPs) for each patch by averaging the average velocities + of points within each patch based on their LCP velocities. + + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to calculate average LCP velocity per patch. + :rtype: str + """ + return f""" + ALTER TABLE patches ADD COLUMN avg_lcp_velocity FLOAT; + UPDATE patches + SET avg_lcp_velocity = subquery.avg_vel + FROM ( + SELECT + patch_id, + AVG(avg_velocity_lcp) as avg_vel + FROM {table_name} + WHERE patch_id IS NOT NULL + GROUP BY patch_id + ) AS subquery + WHERE patches.uid = subquery.patch_id + """ + + @staticmethod + def calc_outliers(scaling_factor: float, table_name: str = "pspoint") -> str: + """Identify outlier points based on absolute average velocity. + + This method generates an SQL query to identify outlier points based on their + average velocity relative to local control points (LCPs). Points with an absolute + average LCP velocity exceeding a specified threshold (5 mm/year) are + marked as outliers by assigning their unique identifier to a new column in the + patches table. The unit parameter allows for specifying the measurement unit + (meters, centimeters, or millimeters) to appropriately scale the threshold. + + :param unit: The measurement unit for velocity ("m", "cm", or "mm"). + :type unit: str + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :raises ValueError: If the provided unit is not recognized. + :return: SQL query string to identify outlier points. + :rtype: str + """ + + return f""" + ALTER TABLE patches ADD COLUMN outlier_uid INTEGER; + WITH subquery AS ( + SELECT + patch_id, + uid, + FROM {table_name} + WHERE ABS(avg_velocity_lcp) > 5 / {scaling_factor} + QUALIFY ROW_NUMBER() OVER + ( + PARTITION BY patch_id + ORDER BY ABS(avg_velocity_lcp) DESC + ) = 1 + ) + UPDATE patches + SET outlier_uid = subquery.uid + FROM subquery + WHERE patches.uid = subquery.patch_id; + """ + + @staticmethod + def lcp_ts_patch(date_fields: list[str], table_name: str = "pspoint"): + date_fields_str = "[" + ", ".join(date_fields) + "]" + return f""" + ALTER TABLE patches ADD COLUMN lcp_disp_ts DOUBLE[]; + UPDATE patches + SET lcp_disp_ts = subquery.disp_ts + FROM ( + SELECT + p.patch_id, + {date_fields_str} AS disp_ts + FROM {table_name} AS p + JOIN patches AS pa + ON p.uid = pa.lcp_uid + WHERE p.patch_id IS NOT NULL + -- GROUP BY p.patch_id + ) AS subquery + WHERE patches.uid = subquery.patch_id; + """ + + def outlier_ts_patch(date_fields: list[str], table_name: str = "pspoint"): + date_fields_str = "[" + ", ".join(date_fields) + "]" + return f""" + ALTER TABLE patches ADD COLUMN outlier_disp_ts DOUBLE[]; + UPDATE patches + SET outlier_disp_ts = subquery.disp_ts + FROM ( + SELECT + p.patch_id, + {date_fields_str} AS disp_ts + FROM {table_name} AS p + JOIN patches AS pa + ON p.uid = pa.outlier_uid + WHERE p.patch_id IS NOT NULL + -- GROUP BY p.patch_id + ) AS subquery + WHERE patches.uid = subquery.patch_id; + """ + + @staticmethod + def outlier_rel_ts_patch(): + return f""" + ALTER TABLE patches ADD COLUMN outlier_rel_ts DOUBLE[]; + UPDATE patches + SET outlier_rel_ts = list_transform( + outlier_disp_ts, + (value, idx) -> value - list_element(lcp_disp_ts, idx) + ) + WHERE outlier_disp_ts IS NOT NULL AND lcp_disp_ts IS NOT NULL; + """ + + class Visualisation: + """SQL queries for visualisation of results. + + 2D visualisation is done in Web Mercator (EPSG:3857). + """ + + projection = "EPSG:3857" + + @staticmethod + def get_table_bbox(table_name: str, source_crs: str) -> str: + """Get the bounding box of a table in a specified projection. + + This method generates an SQL query to retrieve the bounding box of geometries + from a specified table, transforming the geometries from a source CRS to + a target projection defined in the Visualisation class. + + :param table_name: The name of the table to get the bounding box from. + :type table_name: str + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :return: SQL query string to get the bounding box of the table. + :rtype: str""" + return f""" + with transformed as ( + SELECT + ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true) as geom + FROM {table_name} + ) + SELECT + MIN(ST_XMIN(geom)) AS min_x, + MIN(ST_YMIN(geom)) AS min_y, + MAX(ST_XMAX(geom)) AS max_x, + MAX(ST_YMAX(geom)) AS max_y + FROM transformed; + """ + + @staticmethod + def get_ps_density(source_crs: str) -> str: + """Get point density per patch. + + This method generates an SQL query to retrieve the point density for each patch, + transforming the geometries from a source CRS to a target projection defined + in the Visualisation class. + + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :return: SQL query string to get the point density per patch. + :rtype: str + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, + ps_density + FROM patches + """ + + @staticmethod + def get_outliers_map(source_crs: str, scaling_factor: float) -> str: + """Get outlier points based on absolute average LCP velocity. + + This method generates an SQL query to retrieve outlier points based on their + average velocity relative to local control points (LCPs). Points with an absolute + average LCP velocity exceeding a specified threshold (5 mm/year) are + marked as outliers by assigning their unique identifier to a new column in the + patches table. The unit parameter allows for specifying the measurement unit + (meters, centimeters, or millimeters) to appropriately scale the threshold. + + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :param unit: The measurement unit for velocity ("m", "cm", or "mm"). + :type unit: str + :return: SQL query string to identify outlier points. + :rtype: str + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, + ABS(avg_velocity_lcp) * {scaling_factor} AS velocity, + FROM pspoint + WHERE uid IN ( + SELECT + outlier_uid, + FROM patches + WHERE outlier_uid IS NOT NULL + ) + ORDER BY velocity ASC; + """ + + @staticmethod + def get_cum_disp_map(source_crs: str, scaling_factor: float) -> str: + """Get cumulative displacement per patch. + + This method generates an SQL query to retrieve the cumulative displacement + for each patch, transforming the geometries from a source CRS to a target + projection defined in the Visualisation class. + + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :param unit: The measurement unit for displacement ("m", "cm", or "mm"). + :type unit: str + :return: SQL query string to get the cumulative displacement per patch. + :rtype: str + """ + # scaling_factor = [1, 100, 1000][["m", "cm", "mm"].index(unit)] + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, + avg_cum_disp * {scaling_factor} AS cum_disp + FROM patches + WHERE avg_cum_disp IS NOT NULL + ORDER BY cum_disp ASC; + """ + + @staticmethod + def get_ps_vel_gcp(source_crs: str, scaling_factor: float) -> str: + """Get average velocity based on ground control points (GCPs). + This method generates an SQL query to retrieve the average velocity for + each point based on ground control points (GCPs), transforming the geometries + from a source CRS to a target projection defined in the Visualisation class. + + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :param unit: The measurement unit for velocity ("m", "cm", or "mm"). + :type unit: str + :return: SQL query string to get the average velocity based on GCPs. + :rtype: str + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, + avg_velocity_gcp * {scaling_factor} AS velocity + FROM pspoint + WHERE patch_id IS NOT NULL + ORDER BY velocity ASC; + """ + + @staticmethod + def get_ps_vel_lcp(source_crs: str, scaling_factor: float) -> str: + """Get average velocity based on local control points (LCPs). + + This method generates an SQL query to retrieve the average velocity for + each point based on local control points (LCPs), transforming the geometries + from a source CRS to a target projection defined in the Visualisation class. + + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :param unit: The measurement unit for velocity ("m", "cm", or "mm"). + :type unit: str + :return: SQL query string to get the average velocity based on LCPs. + :rtype: str + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, + ABS(avg_velocity_lcp) * {scaling_factor} AS velocity + FROM pspoint + WHERE patch_id IS NOT NULL + ORDER BY velocity ASC; + """ + + @staticmethod + def get_outlier_zoom(source_crs: str) -> str: + """Get outlier points for zoomed-in view. + + This method generates an SQL query to retrieve outlier points based on their + average velocity relative to local control points (LCPs). Points with an absolute + average LCP velocity are retrieved, transforming the geometries from a source CRS + to a target projection defined in the Visualisation class. + + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :return: SQL query string to get the outlier points. + :rtype: str + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, + ABS(avg_velocity_lcp) AS velocity + FROM pspoint + WHERE uid IN ( + SELECT + outlier_uid, + FROM patches + WHERE outlier_uid IS NOT NULL + ) + ORDER BY velocity DESC; + """ + + @staticmethod + def get_ps_points(patch_id: float, source_crs: str, table_name: str) -> str: + """Get points within a specific patch. + This method generates an SQL query to retrieve points within a specific patch, + transforming the geometries from a source CRS to a target projection defined + in the Visualisation class. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :param table_name: The name of the table containing the points. + :type table_name: str + :return: SQL query string to get the points within the specified patch. + :rtype: str + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, + FROM {table_name} + WHERE patch_id = {patch_id} + """ + + @staticmethod + def get_center(patch_id: float, source_crs: str) -> str: + """Get the center point of the outlier within a specific patch. + + This method generates an SQL query to retrieve the center point of the outlier + within a specific patch, transforming the geometry from a source CRS to a target + projection defined in the Visualisation class. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :return: SQL query string to get the center point of the outlier within the specified patch. + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(ST_Centroid(geom), '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom + FROM pspoint + WHERE uid = ( + SELECT outlier_uid + FROM patches + WHERE uid = {patch_id} + ) + """ + + def get_patch_center(patch_id: float, source_crs: str) -> str: + """Get the center point of a specific patch. + + This method generates an SQL query to retrieve the center point of a specific + patch, + transforming the geometry from a source CRS to a target projection defined in the Visualisation class. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :return: SQL query string to get the center point of the specified patch. + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(ST_Centroid(geom), '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom + FROM patches + WHERE uid = {patch_id} + """ + + @staticmethod + def get_lcp_point(patch_id: float, source_crs: str) -> str: + """Get the local control point (LCP) within a specific patch. + + This method generates an SQL query to retrieve the local control point (LCP) + within a specific patch, transforming the geometry from a source CRS to a target + projection defined in the Visualisation class. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :return: SQL query string to get the LCP within the specified patch. + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom + FROM pspoint + WHERE uid = ( + SELECT lcp_uid + FROM patches + WHERE uid = {patch_id} + ) + """ + + @staticmethod + def get_outlier_point(patch_id: float, source_crs: str) -> str: + """Get the outlier point within a specific patch. + + This method generates an SQL query to retrieve the outlier point within a specific patch, + transforming the geometry from a source CRS to a target projection defined in the Visualisation class. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :return: SQL query string to get the outlier point within the specified patch. + """ + return f""" + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom + FROM pspoint + WHERE uid = ( + SELECT outlier_uid + FROM patches + WHERE uid = {patch_id} + ) + """ + + @staticmethod + def get_cum_disp_graph(patch_id: float, scaling_factor: float) -> str: + """Get outlier displacement time series. + + This method generates an SQL query to retrieve the outlier displacement time series + for a specific patch, scaling the displacement values by a specified factor. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param scaling_factor: The factor to scale the displacement values. + :type scaling_factor: float + :return: SQL query string to get the outlier displacement time series for the specified patch. + """ + return f""" + SELECT + list_transform(outlier_disp_ts, x -> x * {scaling_factor}) + FROM patches + WHERE uid = {patch_id} + """ + + @staticmethod + def get_avg_cum_disp_graph(patch_id: float, scaling_factor: float) -> str: + """Get average cumulative displacement time series. + + This method generates an SQL query to retrieve the average cumulative displacement + time series for a specific patch, scaling the displacement values by a specified factor. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param scaling_factor: The factor to scale the displacement values. + :type scaling_factor: float + :return: SQL query string to get the average cumulative displacement time series for the specified patch. + """ + return f""" + SELECT + list_transform(avg_disp_ts_gcp, x -> x * {scaling_factor}) + FROM patches + WHERE uid = {patch_id} + """ + + @staticmethod + def get_std_cum_disp_graph(patch_id: float, scaling_factor: float) -> str: + """Get standard deviation of cumulative displacement time series. + + This method generates an SQL query to retrieve the standard deviation of cumulative + displacement time series for a specific patch, scaling the displacement values by a specified factor. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param scaling_factor: The factor to scale the displacement values. + :type scaling_factor: float + :return: SQL query string to get the standard deviation of cumulative displacement time series for the specified patch. + """ + return f""" + SELECT + list_transform(std_disp_ts_gcp, x -> x * {scaling_factor}) + FROM patches + WHERE uid = {patch_id} + """ + + @staticmethod + def get_lcp_disp_graph(patch_id: float, scaling_factor: float) -> str: + """Get local control point (LCP) displacement time series. + + This method generates an SQL query to retrieve the local control point (LCP) + displacement time series for a specific patch, scaling the displacement values by a specified factor. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param scaling_factor: The factor to scale the displacement values. + :type scaling_factor: float + :return: SQL query string to get the LCP displacement time series for the specified patch. + """ + return f""" + SELECT + list_transform(lcp_disp_ts, x -> x * {scaling_factor}) + FROM patches + WHERE uid = {patch_id} + """ + + @staticmethod + def get_avg_disp_lcp_graph(patch_id: float, scaling_factor: float) -> str: + """Get average displacement time series based on local control points (LCPs). + This method generates an SQL query to retrieve the average displacement time series + based on local control points (LCPs) for a specific patch, scaling the displacement + values by a specified factor. + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param scaling_factor: The factor to scale the displacement values. + :type scaling_factor: float + :return: SQL query string to get the average displacement time series based on LCPs for the specified patch. + """ + return f""" + SELECT + list_transform(avg_disp_ts_lcp, x -> x * {scaling_factor}) + FROM patches + WHERE uid = {patch_id} + """ + + @staticmethod + def get_std_disp_lcp_graph(patch_id: float, scaling_factor: float) -> str: + """Get standard deviation of displacement time series based on local control points (LCPs). + This method generates an SQL query to retrieve the standard deviation of displacement + time series based on local control points (LCPs) for a specific patch, scaling the + displacement values by a specified factor. + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param scaling_factor: The factor to scale the displacement values. + :type scaling_factor: float + :return: SQL query string to get the standard deviation of displacement time series based on LCPs for the specified patch. + """ + return f""" + SELECT + list_transform(std_disp_ts_lcp, x -> x * {scaling_factor}) + FROM patches + WHERE uid = {patch_id} + """ + + def get_outlier_rel_ts_graph(patch_id: float, scaling_factor: float) -> str: + """Get outlier relative displacement time series. + This method generates an SQL query to retrieve the outlier relative displacement + time series for a specific patch, scaling the displacement values by a specified factor. + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param scaling_factor: The factor to scale the displacement values. + :type scaling_factor: float + :return: SQL query string to get the outlier relative displacement time series for the specified patch. + """ + return f""" + SELECT + list_transform(outlier_rel_ts, x -> x * {scaling_factor}) + FROM patches + WHERE uid = {patch_id} + """ + + @staticmethod + def patch_uids() -> str: + """Get all patch UIDs that have outliers. + + This method generates an SQL query to retrieve all unique identifiers (UIDs) + of patches that have been identified as containing outliers. + + :return: SQL query string to get all patch UIDs with outliers. + :rtype: str + """ + return """ + SELECT uid + FROM patches + WHERE outlier_uid IS NOT NULL + ORDER BY uid ASC; + """ From e8db997bc1fe26656ced9196910efba2e6d42cf8 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Thu, 18 Sep 2025 17:39:03 +0200 Subject: [PATCH 07/34] tests: test configuration --- tests/test_suite.py | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 tests/test_suite.py diff --git a/tests/test_suite.py b/tests/test_suite.py new file mode 100644 index 0000000..6404e21 --- /dev/null +++ b/tests/test_suite.py @@ -0,0 +1,20 @@ +import unittest + + +def suite(): + laoder = unittest.TestLoader() + suite = unittest.TestSuite() + + for module in [ + "test_utils", + "test_pipeline", + "test_database", + ]: + suite.addTests(laoder.loadTestsFromName(f"tests.{module}")) + + return suite + + +if __name__ == "__main__": + runner = unittest.TextTestRunner(verbosity=2) + runner.run(suite()) From 91a36f2b9b157bb4be710a92e7c7e8e81f18199d Mon Sep 17 00:00:00 2001 From: shnmrt Date: Fri, 19 Sep 2025 13:50:34 +0200 Subject: [PATCH 08/34] tests: unit tests of plotter --- tests/test_plotter.py | 170 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 170 insertions(+) create mode 100644 tests/test_plotter.py diff --git a/tests/test_plotter.py b/tests/test_plotter.py new file mode 100644 index 0000000..459e52d --- /dev/null +++ b/tests/test_plotter.py @@ -0,0 +1,170 @@ +import unittest +from unittest.mock import patch +from shapely.geometry import Point, Polygon +from shapely.wkb import dumps as dump_wkb +import matplotlib.pyplot as plt +from datetime import datetime, timedelta + +from src.saferoad.plotter import Plotter # replace with actual import path + + +class TestMapPane(unittest.TestCase): + def setUp(self): + self.pane = Plotter.MapPane() + + def test_generate_figure(self): + fig, axs = self.pane.get_figure() + self.assertIsInstance(fig, plt.Figure) + self.assertEqual(len(axs), 5) + + @patch("contextily.add_basemap") + def test_plot_basemap(self, mock_basemap): + bbox = ([0, 0, 100, 100],) + self.pane.plot_basemap(bbox) + self.assertTrue(mock_basemap.called) + + def test_ps_density_color_label(self): + self.assertEqual(self.pane.ps_density_color_label(50), ("red", "Low")) + self.assertEqual(self.pane.ps_density_color_label(200), ("yellow", "Medium")) + self.assertEqual(self.pane.ps_density_color_label(600), ("green", "High")) + + def test_outlier_color_label(self): + self.assertEqual(self.pane.outlier_color_label(6), ("yellow", "5<|v|<7 mm/yr")) + self.assertEqual(self.pane.outlier_color_label(8), ("orange", "7<|v|<9 mm/yr")) + self.assertEqual(self.pane.outlier_color_label(12), ("red", "9<|v|<12 mm/yr")) + + def test_cum_disp_color_label(self): + self.assertEqual(self.pane.cum_disp_color_label(-30), ("red", "(-60,-20) mm")) + self.assertEqual( + self.pane.cum_disp_color_label(-17), ("orange", "(-20,-15) mm") + ) + self.assertEqual(self.pane.cum_disp_color_label(-10), ("yellow", "(-15,-5) mm")) + self.assertEqual(self.pane.cum_disp_color_label(0), ("lightgreen", "(-5,5) mm")) + self.assertEqual(self.pane.cum_disp_color_label(10), ("cyan", "(5,15) mm")) + self.assertEqual(self.pane.cum_disp_color_label(20), ("blue", "(15,60) mm")) + + def test_gcp_vel_color(self): + self.assertEqual(self.pane.gcp_vel_color(-7), "red") + self.assertEqual(self.pane.gcp_vel_color(-5), "orange") + self.assertEqual(self.pane.gcp_vel_color(-3), "yellow") + self.assertEqual(self.pane.gcp_vel_color(1), "lightgreen") + self.assertEqual(self.pane.gcp_vel_color(3), "cyan") + self.assertEqual(self.pane.gcp_vel_color(10), "blue") + + def test_lcp_vel_color(self): + self.assertEqual(self.pane.lcp_vel_color(1), "green") + self.assertEqual(self.pane.lcp_vel_color(5), "red") + + def test_plot_ps_density(self): + poly = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)]) + data = [(dump_wkb(poly), 200)] + self.pane.plot_ps_density(data) + self.assertTrue(len(self.pane.axs[0].patches) > 0) + + def test_plot_outliers(self): + pt = Point(0, 0) + data = [(dump_wkb(pt), 8)] + self.pane.plot_outliers(data) + self.assertTrue(len(self.pane.axs[1].collections) > 0) + + def test_plot_cum_disp(self): + poly = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)]) + data = [(dump_wkb(poly), -10)] + self.pane.plot_cum_disp(data) + self.assertTrue(len(self.pane.axs[2].patches) > 0) + + def test_plot_gcp_velocity(self): + pt = Point(0, 0) + data = [(dump_wkb(pt), -5)] + self.pane.plot_gcp_velocity(data) + self.assertTrue(len(self.pane.axs[3].collections) > 0) + + def test_plot_lcp_velocity(self): + pt = Point(0, 0) + data = [(dump_wkb(pt), 5)] + self.pane.plot_lcp_velocity(data) + self.assertTrue(len(self.pane.axs[4].collections) > 0) + + def test_post_process_runs(self): + self.pane.post_process() # should not raise + + +class TestTimeSeriesPane(unittest.TestCase): + def setUp(self): + self.pane = Plotter.TimeSeriesPane() + self.dates = [datetime(2020, 1, 1) + timedelta(days=i) for i in range(5)] + + @patch("contextily.add_basemap") + def test_plot_basemap_outlier(self, mock_basemap): + self.pane.plot_basemap_outlier(([100], [200])) + self.assertTrue(mock_basemap.called) + + @patch("contextily.add_basemap") + def test_plot_basemap_pspoint(self, mock_basemap): + self.pane.plot_basemap_pspoint(([100], [200])) + self.assertTrue(mock_basemap.called) + + def test_outlier_color_label(self): + self.assertEqual(self.pane.outlier_color_label(6), ("yellow", "5<|v|<7 mm/yr")) + self.assertEqual(self.pane.outlier_color_label(8), ("orange", "7<|v|<9 mm/yr")) + self.assertEqual(self.pane.outlier_color_label(12), ("red", "9<|v|<12 mm/yr")) + + def test_plot_all_outliers(self): + pt = Point(0, 0) + data = [(dump_wkb(pt), 10)] + self.pane.plot_all_outliers(data) + self.assertTrue(len(self.pane.axs[0].collections) > 0) + + def test_plot_square(self): + self.pane.plot_square([(0, 0), (10, 10)]) + self.assertTrue(len(self.pane.axs[0].patches) > 0) + + def test_plot_pspoint_dist(self): + pt = Point(0, 0) + data = [(dump_wkb(pt),)] + self.pane.plot_pspoint_dist(data) + self.assertTrue(len(self.pane.axs[1].collections) > 0) + + def test_plot_outlier(self): + pt = Point(0, 0) + data = [(dump_wkb(pt), 9)] + self.pane.plot_outlier(data) + self.assertTrue(len(self.pane.axs[1].collections) > 0) + + def test_plot_lcp(self): + pt = Point(0, 0) + data = [dump_wkb(pt)] + self.pane.plot_lcp(data) + self.assertTrue(len(self.pane.axs[1].collections) > 0) + + def test_cum_disp_graphs(self): + y = [([1, 2, 3, 4, 5],)] + std = [([1, 1, 1, 1, 1],)] + self.pane.plot_cum_disp_graph(y, self.dates) + self.pane.plot_avg_disp_graph(y, self.dates) + self.pane.plot_std_disp_graph(y, std, self.dates) + # scatter + 2x fill_between -> collections exist + self.assertGreater(len(self.pane.axs[2].collections), 0) + + def test_rel_disp_graphs(self): + y = [([1, 2, 3, 4, 5],)] + std = [([1, 1, 1, 1, 1],)] + self.pane.plot_rel_disp_graph(y, self.dates) + self.pane.plot_avg_rel_disp_graph(y, self.dates) + self.pane.plot_std_rel_disp_graph(y, std, self.dates) + self.assertTrue(len(self.pane.axs[3].collections) > 0) + + def test_lcp_disp_graphs(self): + y = [([1, 2, 3, 4, 5],)] + std = [([1, 1, 1, 1, 1],)] + self.pane.plot_lcp_disp_graph(y, self.dates) + self.pane.plot_avg_lcp_disp_graph(y, self.dates) + self.pane.plot_std_lcp_disp_graph(y, std, self.dates) + self.assertTrue(len(self.pane.axs[4].collections) > 0) + + def test_post_process_runs(self): + self.pane.post_process() # should not raise + + +if __name__ == "__main__": + unittest.main() From aa8f8da316655d6dfbb7115bd18af120b8339467 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Fri, 19 Sep 2025 13:51:26 +0200 Subject: [PATCH 09/34] refac: include test_plotter --- tests/test_suite.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/test_suite.py b/tests/test_suite.py index 6404e21..c149161 100644 --- a/tests/test_suite.py +++ b/tests/test_suite.py @@ -9,6 +9,7 @@ def suite(): "test_utils", "test_pipeline", "test_database", + "test_plotter", ]: suite.addTests(laoder.loadTestsFromName(f"tests.{module}")) From 9ca1948b364ed4f3bb06d51fee2ad64e49e276c5 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Fri, 19 Sep 2025 13:56:25 +0200 Subject: [PATCH 10/34] feat: plotter module for report generation --- src/saferoad/plotter.py | 887 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 887 insertions(+) create mode 100644 src/saferoad/plotter.py diff --git a/src/saferoad/plotter.py b/src/saferoad/plotter.py new file mode 100644 index 0000000..62e652c --- /dev/null +++ b/src/saferoad/plotter.py @@ -0,0 +1,887 @@ +from matplotlib import pyplot as plt +import contextily as ctx +from shapely.wkb import loads as load_wkb +from matplotlib.lines import Line2D +from datetime import datetime +import matplotlib.dates as mdates + + +class Plotter: + """Class to create and manage plots for geospatial data analysis.""" + + class MapPane: + """ + Class to create and manage a multi-panel map figure. + + Panels include: + - PS Density + - Outliers + - Cumulative Displacement + - PS Velocity based on GCP + - PS Velocity based on LCP + """ + + def __init__(self): + self.generate_figure() + + def generate_figure(self): + """ + Generates a multi-panel figure with specified layout and titles. + """ + fig = plt.figure(figsize=(18, 12)) + layout = [ + ["A", "A", "B", "B", "C", "C"], # top row: 3 panels, equal widths + [".", "D", "D", "E", "E", "."], # bottom row: 2 panels centered + ] + axs = fig.subplot_mosaic(layout, empty_sentinel=".") + + # Optional spacing (no constrained_layout -> safer with contextily) + fig.subplots_adjust(wspace=0.25, hspace=0.35) + axs["A"].set_title("PS Density", fontsize=10) + axs["B"].set_title("Outliers", fontsize=10) + axs["C"].set_title("Cumulative Displacement", fontsize=10) + axs["D"].set_title("PS Velocity based on GCP", fontsize=10) + axs["E"].set_title("PS Velocity based on LCP", fontsize=10) + self.fig = fig + self.axs = [axs["A"], axs["B"], axs["C"], axs["D"], axs["E"]] + + def plot_basemap(self, bbox: tuple[float, float, float, float]): + """ + Plots a basemap on all axes using the provided bounding box. + + :param bbox: A tuple representing the bounding box (minx, miny, maxx, maxy). + """ + bbox = [i for i in bbox[0]] + + for ax in self.axs: + ax.set_xlim(bbox[0] - 2000, bbox[2] + 2000) + ax.set_ylim(bbox[1] - 2000, bbox[3] + 4000) + ctx.add_basemap( + ax, + source=ctx.providers.CartoDB.Positron, + crs="EPSG:3857", + ) + + def plot_ps_density(self, plot_data: list[tuple]) -> None: + """ + Plots PS Density data on the first axis. + + :param plot_data: List of tuples containing geometry and PS density value. + """ + label_store = [] + for geom, psdensity in plot_data: + geom = load_wkb(geom) + color, label = self.ps_density_color_label(psdensity) + if label not in label_store: + label_store.append(label) + else: + label = None + + self.axs[0].fill( + *geom.exterior.xy, + fc=color, + ec=color, + label=label, + ) + self.axs[0].legend( + title="PS Density", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def plot_outliers(self, plot_data: list[tuple]) -> None: + """ + Plots outlier data on the second axis. + + :param plot_data: List of tuples containing geometry and outlier velocity value. + """ + label_store = [] + for geom, vel in plot_data: + geom = load_wkb(geom) + color, label = self.outlier_color_label(vel) + if label not in label_store: + label_store.append(label) + else: + label = None + + self.axs[1].scatter( + *geom.xy, + s=10, + c=color, + label=label, + ) + self.axs[1].legend( + title="Outlier", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def plot_cum_disp(self, plot_data: list[tuple]) -> None: + """ + Plots cumulative displacement data on the third axis. + + :param plot_data: List of tuples containing geometry and cumulative displacement value. + """ + label_store = [] + for geom, disp in plot_data: + geom = load_wkb(geom) + color, label = self.cum_disp_color_label(disp) + if label not in label_store: + label_store.append(label) + else: + label = None + + self.axs[2].fill( + *geom.exterior.xy, + fc=color, + ec=color, + label=label, + ) + self.axs[2].legend( + title="Cumulative\nDisplacement", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def plot_gcp_velocity(self, plot_data: list[tuple]) -> None: + """Plots GCP velocity data on the fourth axis. + + :param plot_data: List of tuples containing geometry and GCP velocity value. + """ + points, colors = [], [] + for geom, vel in plot_data: + geom = load_wkb(geom) + points.append(geom.xy) + colors.append(self.gcp_vel_color(vel)) + + x_coords = [p[0][0] for p in points] + y_coords = [p[1][0] for p in points] + + self.axs[3].scatter( + x_coords, + y_coords, + s=4, + c=colors, + alpha=0.7, + ) + legend_elements = [ + Line2D( + [0], + [0], + marker="o", + color="w", + markerfacecolor="red", + markersize=6, + label="(-15,-6) mm", + ), + Line2D( + [0], + [0], + marker="o", + color="w", + markerfacecolor="orange", + markersize=6, + label="(-6,-4) mm", + ), + Line2D( + [0], + [0], + marker="o", + color="w", + markerfacecolor="yellow", + markersize=6, + label="(-4,-2) mm", + ), + Line2D( + [0], + [0], + marker="o", + color="w", + markerfacecolor="lightgreen", + markersize=6, + label="(-2,2) mm", + ), + Line2D( + [0], + [0], + marker="o", + color="w", + markerfacecolor="cyan", + markersize=6, + label="(2,5) mm", + ), + Line2D( + [0], + [0], + marker="o", + color="w", + markerfacecolor="blue", + markersize=6, + label="(5,15) mm", + ), + ] + + self.axs[3].legend( + handles=legend_elements, + title="PS Velocity GCP", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def plot_lcp_velocity(self, plot_data: list[tuple]) -> None: + """Plots LCP velocity data on the fifth axis. + + :param plot_data: List of tuples containing geometry and LCP velocity value. + """ + points, colors = [], [] + for geom, vel in plot_data: + geom = load_wkb(geom) + points.append(geom.xy) + colors.append(self.lcp_vel_color(vel)) + x_coords = [p[0][0] for p in points] + y_coords = [p[1][0] for p in points] + + self.axs[4].scatter( + x_coords, + y_coords, + s=2, + c=colors, + alpha=0.6, + ) + + legend_elements = [ + Line2D( + [0], + [0], + marker="o", + color="w", + markerfacecolor="green", + markersize=6, + label="(0,2) mm", + ), + Line2D( + [0], + [0], + marker="o", + color="w", + markerfacecolor="red", + markersize=6, + label="(2,12) mm", + ), + ] + self.axs[4].legend( + handles=legend_elements, + title="PS Velocity LCP", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def post_process(self): + """ + Post-processes the figure for better aesthetics. + + """ + for i in [1, 2, 4]: + self.axs[i].get_yaxis().set_visible(False) + xticks = self.axs[i].get_xticks() + self.axs[i].set_xticks(xticks[::2]) # Keep every other tick + self.axs[i].set_xticklabels(self.axs[i].get_xticks()) + for i in [0, 3]: + yticks = self.axs[i].get_yticks() + self.axs[i].set_yticks(yticks[::3]) # Keep every other tick + self.axs[i].set_yticklabels( + self.axs[i].get_yticks(), + horizontalalignment="center", + verticalalignment="center", + ) + xticks = self.axs[i].get_xticks() + self.axs[i].set_xticks(xticks[::2]) # Keep every other tick + self.axs[i].set_xticklabels(self.axs[i].get_xticks()) + + # self.fig.tight_layout() + + def get_figure(self) -> tuple[plt.Figure, list[plt.Axes]]: + """ + Returns the figure and axes. + + :return: Tuple containing the figure and axes. + :rtype: tuple[plt.Figure, list[plt.Axes]] + """ + return self.fig, self.axs + + def outlier_color_label(self, value: float) -> tuple[str, str]: + """Returns color and label based on outlier velocity value. + + :param value: Outlier velocity value. + :type value: float + :return: Tuple containing color and label. + :rtype: tuple[str, str] + """ + if value <= 7: + return "yellow", "5<|v|<7 mm/yr" + elif value <= 9: + return "orange", "7<|v|<9 mm/yr" + else: + return "red", "9<|v|<12 mm/yr" + + def ps_density_color_label(self, value: float) -> tuple[str, str]: + """Returns color and label based on PS density value. + + :param value: PS density value. + :type value: float + :return: Tuple containing color and label. + :rtype: tuple[str, str] + """ + if value < 100: + return "red", "Low" + if 100 <= value < 500: + return "yellow", "Medium" + else: + return "green", "High" + + def cum_disp_color_label(self, value: float) -> str: + """Returns color and label based on cumulative displacement value. + + :param value: Cumulative displacement value. + :type value: float + :return: Tuple containing color and label. + :rtype: tuple[str, str] + """ + if value < -20: + return "red", "(-60,-20) mm" + elif value < -15: + return "orange", "(-20,-15) mm" + elif value < -5: + return "yellow", "(-15,-5) mm" + elif value < 5: + return "lightgreen", "(-5,5) mm" + elif value < 15: + return "cyan", "(5,15) mm" + else: + return "blue", "(15,60) mm" + + def gcp_vel_color(self, value: float) -> str: + """Returns color based on GCP velocity value. + + :param value: GCP velocity value. + :type value: float + :return: Color string. + :rtype: str + """ + if value <= -6: + return "red" + elif value <= -4: + return "orange" + elif value <= -2: + return "yellow" + elif value <= 2: + return "lightgreen" + elif value <= 5: + return "cyan" + else: + return "blue" + + def lcp_vel_color(self, value: float) -> str: + """Returns color based on LCP velocity value. + + :param value: LCP velocity value. + :type value: float + :return: Color string. + :rtype: str + """ + if value <= 2: + return "green" + else: + return "red" + + class TimeSeriesPane: + """Class to create and manage a multi-panel time series figure. + Panels include: + - Basemap with Outliers + - Basemap with PS Points + - Cumulative Displacement + - Relative Displacement + - Local Control Point Displacement + """ + + def __init__(self): + self.generate_figure() + + def generate_figure(self): + """Generates a multi-panel figure with specified layout and titles.""" + fig = plt.figure(figsize=(12, 12), dpi=150) + layout = [ + 3 * ["A"] + 3 * ["C"], # ["A", "A", "A", "C", "C", "C"], + 3 * ["A"] + 3 * ["C"], # ["A", "A", "A", "C", "C", "C"], + 3 * ["A"] + 3 * ["D"], # ["A", "A", "A", "D", "D", "D"], + 3 * ["B"] + 3 * ["D"], # ["B", "B", "B", "D", "D", "D"], + 3 * ["B"] + 3 * ["E"], # ["B", "B", "B", "E", "E", "E"], + 3 * ["B"] + 3 * ["E"], # ["B", "B", "B", "E", "E", "E"], + ] + axs = fig.subplot_mosaic(layout, empty_sentinel=".") + fig.subplots_adjust(wspace=1, hspace=1) + axs["C"].set_title("Cumulative Displacement", fontsize=10) + axs["C"].set_ylabel("[mm]", fontsize=8, labelpad=2) + axs["D"].set_title("Relative Displacement", fontsize=10) + axs["D"].set_ylabel("[mm]", fontsize=8, labelpad=2) + axs["E"].set_title("Local Control Point Displacement", fontsize=10) + axs["E"].set_ylabel("[mm]", fontsize=8, labelpad=2) + self.fig = fig + self.axs = [axs["A"], axs["B"], axs["C"], axs["D"], axs["E"]] + + def plot_basemap_outlier(self, center: tuple[float, float]): + """ + Plots a basemap on the first axis using the provided center point. + + :param center: A tuple representing the center point (x, y). + :type center: tuple[float, float] + """ + self.axs[0].set_xlim(center[0][0] - 2000, center[0][0] + 2000) + self.axs[0].set_ylim(center[1][0] - 2000, center[1][0] + 4000) + ctx.add_basemap( + self.axs[0], + source=ctx.providers.CartoDB.Positron, + crs="EPSG:3857", + ) + + def plot_basemap_pspoint(self, center: tuple[float, float]): + """ + Plots a basemap on the second axis using the provided center point. + + :param center: A tuple representing the center point (x, y). + :type center: tuple[float, float] + """ + self.axs[1].set_xlim(center[0][0] - 1000, center[0][0] + 1000) + self.axs[1].set_ylim(center[1][0] - 1000, center[1][0] + 1000) + ctx.add_basemap( + self.axs[1], + source=ctx.providers.CartoDB.Positron, + crs="EPSG:3857", + ) + + def plot_all_outliers(self, plot_data: list[tuple]) -> None: + """Plots all outlier data on the first axis. + + :param plot_data: List of tuples containing geometry and outlier velocity value. + :type plot_data: list[tuple] + """ + label_store = [] + for geom, vel in plot_data: + geom = load_wkb(geom) + color, label = self.outlier_color_label(vel) + if label not in label_store: + label_store.append(label) + else: + label = None + + self.axs[0].scatter( + *geom.xy, + s=10, + c=color, + label=label, + ) + self.axs[0].legend( + title="Outlier", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def plot_square(self, plot_data: list[tuple]) -> None: + """Plots a square on the first axis to indicate zoom area. + + :param plot_data: List of tuples containing geometry and outlier velocity value. + :type plot_data: list[tuple] + """ + label_store = [] + x, y = plot_data[0][0], plot_data[1][0] + square = [ + (x - 75, y - 75), + (x + 75, y - 75), + (x + 75, y + 75), + (x - 75, y + 75), + (x - 75, y - 75), # Close the square + ] + square_x, square_y = zip(*square) + self.axs[0].fill( + square_x, + square_y, + fc="none", + ec="black", + label="Zoom Area", + ) + self.axs[0].legend( + title="Outliers", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def plot_pspoint_dist(self, plot_data: list[tuple]) -> None: + """Plots PS Points on the second axis. + + :param plot_data: List of tuples containing geometry. + :type plot_data: list[tuple] + """ + points = [] + for geom in plot_data: + if isinstance(geom, tuple) and len(geom) > 0: + geom = load_wkb(geom[0]) + points.append(geom.xy) + x_coords = [p[0][0] for p in points] + y_coords = [p[1][0] for p in points] + + self.axs[1].scatter( + x_coords, + y_coords, + s=6, + c="black", + label="PS Points", + ) + self.axs[1].legend( + title="Legend", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def plot_outlier(self, plot_data: list[tuple]) -> None: + """Plots outlier data on the second axis. + + :param plot_data: List of tuples containing geometry and outlier velocity value. + :type plot_data: list[tuple] + """ + label_store = [] + for geom, vel in plot_data: + geom = load_wkb(geom) + color, label = self.outlier_color_label(vel) + if label not in label_store: + label_store.append(label) + else: + label = None + + self.axs[1].scatter( + *geom.xy, + s=16, + c=color, + label=label, + ) + self.axs[1].legend( + title="Legend", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def plot_lcp(self, plot_data: list[tuple]) -> None: + """Plots LCP data on the second axis. + + :param plot_data: List of tuples containing geometry. + :type plot_data: list[tuple] + """ + geom = load_wkb(plot_data[0]) + self.axs[1].scatter( + *geom.xy, + s=20, + marker="^", + c="lightblue", + label="LCP", + ) + self.axs[1].legend( + title="Legend", + loc="upper right", + fontsize=6, + title_fontsize=6, + frameon=True, + facecolor="white", + edgecolor="black", + ) + + def plot_cum_disp_graph( + self, plot_data: list[tuple], dates: list[datetime] + ) -> None: + """Plots cumulative displacement data on the third axis. + + :param plot_data: List of tuples containing cumulative displacement values. + :type plot_data: list[tuple] + :param dates: List of datetime objects corresponding to the displacement values. + :type dates: list[datetime] + """ + y = plot_data[0][0] + x = dates + self.axs[2].scatter( + x, + y, + s=6, + color="black", + ) + + def plot_avg_disp_graph( + self, plot_data: list[tuple], dates: list[datetime] + ) -> None: + """Plots average cumulative displacement data on the third axis. + + :param plot_data: List of tuples containing average cumulative displacement values. + :type plot_data: list[tuple] + :param dates: List of datetime objects corresponding to the displacement values. + :type dates: list[datetime] + """ + + y = plot_data[0][0] + x = dates + self.axs[2].plot( + x, + y, + color="red", + linewidth=1, + ) + + def plot_std_disp_graph( + self, avg_data: list[tuple], std_data: list[tuple], dates: list[datetime] + ): + """Plots standard deviation of cumulative displacement data on the third axis. + + :param avg_data: List of tuples containing average cumulative displacement values. + :type avg_data: list[tuple] + :param std_data: List of tuples containing standard deviation of cumulative displacement values. + :type std_data: list[tuple] + :param dates: List of datetime objects corresponding to the displacement values. + :type dates: list[datetime] + """ + y_avg = avg_data[0][0] + y_std = std_data[0][0] + x = dates + self.axs[2].fill_between( + x, + [y_avg[i] - 2 * y_std[i] for i in range(len(y_avg))], + [y_avg[i] + 2 * y_std[i] for i in range(len(y_avg))], + color="dimgray", + alpha=0.5, + # label="±2 Std Dev", + ) + self.axs[2].fill_between( + x, + [y_avg[i] - y_std[i] for i in range(len(y_avg))], + [y_avg[i] + y_std[i] for i in range(len(y_avg))], + color="lightgrey", + alpha=0.5, + # label="±1 Std Dev", + ) + + def plot_lcp_disp_graph( + self, plot_data: list[tuple], dates: list[datetime] + ) -> None: + """Plots LCP displacement data on the fifth axis. + + :param plot_data: List of tuples containing LCP displacement values. + :type plot_data: list[tuple] + :param dates: List of datetime objects corresponding to the displacement values. + :type dates: list[datetime] + """ + y = plot_data[0][0] + x = dates + self.axs[4].scatter( + x, + y, + s=6, + color="black", + ) + + def plot_avg_lcp_disp_graph( + self, plot_data: list[tuple], dates: list[datetime] + ) -> None: + """Plots average LCP displacement data on the fifth axis. + + :param plot_data: List of tuples containing average LCP displacement values. + :type plot_data: list[tuple] + :param dates: List of datetime objects corresponding to the displacement values. + :type dates: list[datetime] + """ + y = plot_data[0][0] + x = dates + self.axs[4].plot( + x, + y, + color="red", + linewidth=1, + ) + + def plot_std_lcp_disp_graph( + self, avg_data: list[tuple], std_data: list[tuple], dates: list[datetime] + ): + """Plots standard deviation of LCP displacement data on the fifth axis. + + :param avg_data: List of tuples containing average LCP displacement values. + :type avg_data: list[tuple] + :param std_data: List of tuples containing standard deviation of LCP displacement values. + :type std_data: list[tuple] + :param dates: List of datetime objects corresponding to the displacement values. + :type dates: list[datetime] + """ + y_avg = avg_data[0][0] + y_std = std_data[0][0] + x = dates + self.axs[4].fill_between( + x, + [y_avg[i] - 2 * y_std[i] for i in range(len(y_avg))], + [y_avg[i] + 2 * y_std[i] for i in range(len(y_avg))], + color="dimgray", + alpha=0.5, + # label="±2 Std Dev", + ) + self.axs[4].fill_between( + x, + [y_avg[i] - y_std[i] for i in range(len(y_avg))], + [y_avg[i] + y_std[i] for i in range(len(y_avg))], + color="whitesmoke", + alpha=0.5, + # label="±1 Std Dev", + ) + + def plot_rel_disp_graph( + self, plot_data: list[tuple], dates: list[datetime] + ) -> None: + """Plots relative displacement data on the fourth axis. + + :param plot_data: List of tuples containing relative displacement values. + :type plot_data: list[tuple] + :param dates: List of datetime objects corresponding to the displacement values. + :type dates: list[datetime] + """ + y = plot_data[0][0] + x = dates + self.axs[3].scatter( + x, + y, + s=6, + color="black", + ) + + def plot_avg_rel_disp_graph( + self, plot_data: list[tuple], dates: list[datetime] + ) -> None: + """Plots average relative displacement data on the fourth axis. + + :param plot_data: List of tuples containing average relative displacement values. + :type plot_data: list[tuple] + :param dates: List of datetime objects corresponding to the displacement values. + :type dates: list[datetime] + """ + y = plot_data[0][0] + x = dates + self.axs[3].plot( + x, + y, + color="red", + linewidth=1, + ) + + def plot_std_rel_disp_graph( + self, avg_data: list[tuple], std_data: list[tuple], dates: list[datetime] + ): + """Plots standard deviation of relative displacement data on the fourth axis. + + :param avg_data: List of tuples containing average relative displacement values. + :type avg_data: list[tuple] + :param std_data: List of tuples containing standard deviation of relative displacement values. + :type std_data: list[tuple] + :param dates: List of datetime objects corresponding to the displacement values. + :type dates: list[datetime] + """ + y_avg = avg_data[0][0] + y_std = std_data[0][0] + x = dates + self.axs[3].fill_between( + x, + [y_avg[i] - 2 * y_std[i] for i in range(len(y_avg))], + [y_avg[i] + 2 * y_std[i] for i in range(len(y_avg))], + color="dimgray", + alpha=0.5, + # label="±2 Std Dev", + ) + self.axs[3].fill_between( + x, + [y_avg[i] - y_std[i] for i in range(len(y_avg))], + [y_avg[i] + y_std[i] for i in range(len(y_avg))], + color="whitesmoke", + alpha=0.5, + # label="±1 Std Dev", + ) + + def outlier_color_label(self, value: float) -> tuple[str, str]: + """Returns color and label based on outlier velocity value. + + :param value: Outlier velocity value. + :type value: float + :return: Tuple containing color and label. + :rtype: tuple[str, str] + """ + if value <= 7: + return "yellow", "5<|v|<7 mm/yr" + elif value <= 9: + return "orange", "7<|v|<9 mm/yr" + else: + return "red", "9<|v|<12 mm/yr" + + def post_process(self): + """Post-processes the figure for better aesthetics.""" + for i in [0, 1]: + xticks = self.axs[i].get_xticks() + yticks = self.axs[i].get_yticks() + self.axs[i].set_xticks(xticks[::3]) # Keep every other tick + self.axs[i].set_xticklabels(self.axs[i].get_xticks()) + self.axs[i].set_yticks(yticks[::3]) # Keep every other tick + self.axs[i].set_yticklabels(self.axs[i].get_yticks()) + + ymins, ymaxs = [], [] + + for ax in [self.axs[2], self.axs[3], self.axs[4]]: + ymin, ymax = ax.get_ylim() + ymins.append(ymin) + ymaxs.append(ymax) + + for ax in [self.axs[2], self.axs[3], self.axs[4]]: + ax.set_ylim(min(ymins), max(ymaxs)) + ax.xaxis.set_major_locator(mdates.YearLocator()) + ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y")) + ax.xaxis.set_minor_locator(mdates.MonthLocator()) + + def get_figure(self) -> tuple[plt.Figure, list[plt.Axes]]: + """Returns the figure and axes. + + :return: Tuple containing the figure and axes. + :rtype: tuple[plt.Figure, list[plt.Axes]] + """ + return self.fig, self.axs From 96f80b0e052243f03bab8c7511c6a2c0885e2a3a Mon Sep 17 00:00:00 2001 From: shnmrt Date: Tue, 23 Sep 2025 14:58:38 +0200 Subject: [PATCH 11/34] tests: unit tests for the saferoad module --- tests/test_saferoad.py | 193 +++++++++++++++++++++++++++++++++++++++++ tests/test_suite.py | 1 + 2 files changed, 194 insertions(+) create mode 100644 tests/test_saferoad.py diff --git a/tests/test_saferoad.py b/tests/test_saferoad.py new file mode 100644 index 0000000..94c3d22 --- /dev/null +++ b/tests/test_saferoad.py @@ -0,0 +1,193 @@ +import unittest +from src.saferoad.saferoad import SafeRoad, PsData, Road +import os + + +class TestSafeRoad(unittest.TestCase): + def setUp(self): + # Setup the test data + self.computational_crs = "EPSG:28992" + self.road = Road( + filepath="./examples/fixtures/A10_ams.geojson", + crs_code="EPSG:4326", + name="road", + ) + self.ps_data = PsData( + filepath="./examples/fixtures/psdata_mod.csv", + latitude="pnt_lat", + longitude="pnt_lon", + unit="m", + crs_code="EPSG:4326", + name="pspoint", + ) + self.saferoad = SafeRoad( + road=self.road, + ps_data=self.ps_data, + computational_crs=self.computational_crs, + ) + + def test_initialization(self): + # Test initialization of SafeRoad + self.assertEqual( + self.saferoad.road_data.filepath, "./examples/fixtures/A10_ams.geojson" + ) + self.assertEqual( + self.saferoad.ps_data.filepath, "./examples/fixtures/psdata_mod.csv" + ) + self.assertEqual(self.saferoad.computational_crs, "EPSG:28992") + + def test_load_files(self): + # Test loading files + try: + self.saferoad.load_files() + except Exception as e: + self.fail(f"load_files raised an exception: {e}") + + def test_preprocess(self): + # Test preprocessing + try: + self.saferoad.load_files() + self.saferoad.preprocess() + except Exception as e: + self.fail(f"preprocess raised an exception: {e}") + + def test_generate_rectangles(self): + # Test generating rectangles + try: + self.saferoad.load_files() + self.saferoad.preprocess() + self.saferoad.generate_rectangles(road_width=8, segment_length=500) + except Exception as e: + self.fail(f"generate_rectangles raised an exception: {e}") + + def test_run_analysis(self): + # Test running analysis + try: + self.saferoad.load_files() + self.saferoad.preprocess() + self.saferoad.generate_rectangles(road_width=8, segment_length=500) + self.saferoad.run_analysis() + except Exception as e: + self.fail(f"run_analysis raised an exception: {e}") + + def test_generate_report(self): + # Test generating report + try: + self.saferoad.load_files() + self.saferoad.preprocess() + self.saferoad.generate_rectangles(road_width=8, segment_length=500) + self.saferoad.run_analysis() + self.saferoad.generate_report("./test_report2.pdf") + except Exception as e: + self.fail(f"generate_report raised an exception: {e}") + + def test_scaling_factor(self): + # Test the _scaling_factor_ property + self.ps_data.unit = "m" + self.assertEqual(self.saferoad._scaling_factor_, 1000) + + self.ps_data.unit = "cm" + self.assertEqual(self.saferoad._scaling_factor_, 10) + + self.ps_data.unit = "mm" + self.assertEqual(self.saferoad._scaling_factor_, 1) + + def test_invalid_initialization(self): + # Test initialization with invalid inputs + with self.assertRaises(AssertionError): + SafeRoad( + road="not_a_road", + ps_data=self.ps_data, + computational_crs=self.computational_crs, + ) + with self.assertRaises(AssertionError): + SafeRoad( + road=self.road, + ps_data="not_ps_data", + computational_crs=self.computational_crs, + ) + with self.assertRaises(AssertionError): + SafeRoad(road=self.road, ps_data=self.ps_data, computational_crs=123) + + def test_generate_rectangles_different_values(self): + # Test generating rectangles with different values + try: + self.saferoad.load_files() + self.saferoad.preprocess() + # Test with smaller values + self.saferoad.generate_rectangles(road_width=5, segment_length=250) + # Test with larger values + self.saferoad.generate_rectangles(road_width=10, segment_length=1000) + except Exception as e: + self.fail( + f"generate_rectangles with different values raised an exception: {e}" + ) + + def test_ps_data_validation(self): + # Test PsData validation + with self.assertRaises(AssertionError): + PsData(filepath="", latitude="lat", longitude="lon") # Empty filepath + with self.assertRaises(AssertionError): + PsData(filepath="test.csv", latitude="", longitude="lon") # Empty latitude + with self.assertRaises(AssertionError): + PsData(filepath="test.csv", latitude="lat", longitude="") # Empty longitude + with self.assertRaises(AssertionError): + PsData( + filepath="test.csv", + latitude="lat", + longitude="lon", + unit="invalid", + ) # Invalid unit + + def test_road_validation(self): + # Test Road validation + with self.assertRaises(AssertionError): + Road(filepath="", name="road") # Empty filepath + with self.assertRaises(AssertionError): + Road(filepath=123, name="road") # Non-string filepath + with self.assertRaises(AssertionError): + Road(filepath="test.geojson", name="") # Empty name + + def test_generate_report_custom_output(self): + # Test generating report with custom output path + try: + self.saferoad.load_files() + self.saferoad.preprocess() + self.saferoad.generate_rectangles(road_width=8, segment_length=500) + self.saferoad.run_analysis() + self.saferoad.generate_report("./custom_report_output.pdf") + except Exception as e: + self.fail(f"generate_report with custom output raised an exception: {e}") + + def test_render_ts_plots_workers(self): + """Test that time series plots are correctly rendered in the report.""" + + # First, load files and run necessary preprocessing + self.saferoad.load_files() + self.saferoad.preprocess() + self.saferoad.generate_rectangles(road_width=8, segment_length=500) + self.saferoad.run_analysis() + + # Generate a report + report_path = "./test_ts_plots_report.pdf" + try: + self.saferoad.generate_report(report_path) + + # Check if the report file exists + self.assertTrue(os.path.exists(report_path)) + + # Check file size to ensure it contains plots (a PDF with time series plots + # should be reasonably large) + file_size = os.path.getsize(report_path) + self.assertGreater( + file_size, 10000 + ) # A reasonable minimum size for a PDF with plots + + finally: + # Clean up the test file + if os.path.exists(report_path): + os.remove(report_path) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_suite.py b/tests/test_suite.py index c149161..a75d7ad 100644 --- a/tests/test_suite.py +++ b/tests/test_suite.py @@ -10,6 +10,7 @@ def suite(): "test_pipeline", "test_database", "test_plotter", + "test_saferoad", ]: suite.addTests(laoder.loadTestsFromName(f"tests.{module}")) From 3f0a329ad8b34a4ce09d98076c7b194dde0f28f9 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Mon, 29 Sep 2025 13:51:24 +0200 Subject: [PATCH 12/34] refac: selection of the outliers --- src/saferoad/pipeline.py | 312 ++++++++++++++++++++++++++++++++++----- 1 file changed, 272 insertions(+), 40 deletions(-) diff --git a/src/saferoad/pipeline.py b/src/saferoad/pipeline.py index 632f74e..0e8949f 100644 --- a/src/saferoad/pipeline.py +++ b/src/saferoad/pipeline.py @@ -1,4 +1,5 @@ from pathlib import Path +from numpy import where as npwhere class Pipeline: @@ -148,18 +149,16 @@ def split_to_segments( -- cut the lines into segments cut AS ( SELECT - ST_LineSubstring( - geom, - s / NULLIF(len_m, 0), - e / NULLIF(len_m, 0) + geom, + s / NULLIF(len_m, 0), + e / NULLIF(len_m, 0) ) AS geom FROM windows WHERE len_m > 0 ) -- filter out empty geometries - SELECT - geom + SELECT geom FROM cut WHERE NOT ST_IsEmpty(geom); """ @@ -463,8 +462,10 @@ def calc_avg_disp_ts_gcp(date_fields: list[str]): """Calculate average displacement time series for patches (Average Local Displacement (ALD)). This method generates an SQL query to calculate the average displacement - time series for each patch by averaging the displacement values of points within each patch for the specified date fields. - It assumes that the point table contains a geometry column, displacement columns for each date field, and that the patch table contains a geometry column and a unique identifier for each patch. + time series for each patch by averaging the displacement values of points within each patch + for the specified date fields. It assumes that the point table contains a geometry column, + displacement columns for each date field, and that the patch table contains a geometry column + and a unique identifier for each patch. :param date_fields: List of column names representing displacement values at different dates. :type date_fields: list[str] @@ -522,7 +523,7 @@ def calc_std_disp_ts_gcp(date_fields: list[str]): def select_lcps(table_name: str = "pspoint") -> str: """Select linear control points (LCPs) for patches. - This method generates an SQL query to select linear control points (LCPs) for each patch by identifying the point with the minimum absolute average velocity within each patch. + This method generates an SQL query to select local control points (LCPs) for each patch by identifying the point with the minimum absolute average velocity within each patch. :param table_name: The name of the table containing the points, default is "pspoint". :type table_name: str @@ -681,6 +682,80 @@ def calc_avg_std_disp_ts_lcp( WHERE patches.uid = final.patch_id; """ + @staticmethod + def calc_med_std_disp_ts_lcp( + date_fields: list[str], table_name: str = "pspoint" + ) -> str: + """Calculate average and standard deviation of displacement time series based on LCPs. + + This method generates an SQL query to calculate the average and standard + deviation of displacement time series for each patch based on the displacement + values of points within each patch relative to the local control point (LCP). + It assumes that the point table contains columns for displacement values at + different dates and that the patch table contains a geometry column and a unique + identifier for each patch. + + :param date_fields: List of column names representing displacement values at different dates. + :type date_fields: list[str] + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to calculate average and standard deviation of displacement time series based on LCPs. + :rtype: str + """ + expression_to_select_date_fields = ( + "[" + ", ".join([i for i in date_fields]) + "]" + ) + indices = range(1, len(date_fields) + 1) + expression_to_explode = ",".join( + f"list_extract(displacement, {i}) as {date_fields[i-1]}" + for i in indices + ) + expresion_for_avg_per_date = ", ".join([f"AVG({i})" for i in date_fields]) + expresion_for_std_per_date = ", ".join( + [f"stddev_pop({i})" for i in date_fields] + ) + return f""" + ALTER TABLE patches ADD COLUMN med_disp_ts_lcp DOUBLE[]; + ALTER TABLE patches ADD COLUMN med_std_disp_ts_lcp DOUBLE[]; + WITH y as ( + SELECT patch_id, {expression_to_select_date_fields} as y + FROM {table_name} + WHERE patch_id IS NOT NULL + ), + x as ( + SELECT patch_id, {expression_to_select_date_fields} as x + FROM {table_name} + WHERE uid IN (SELECT lcp_uid FROM patches WHERE lcp_uid IS NOT NULL) + ), + process as ( + SELECT + x.patch_id, + list_transform(list_zip(y.y, x.x), arr -> arr[1] - arr[2]) as displacement + FROM x + JOIN y + ON x.patch_id = y.patch_id + ), + exploded AS ( + SELECT + patch_id, + {expression_to_explode} + FROM process + ), + final AS ( + SELECT + patch_id, + ARRAY[{expresion_for_avg_per_date}] AS med_disp_ts_lcp, + ARRAY[{expresion_for_std_per_date}] AS med_std_disp_ts_lcp + FROM exploded + GROUP BY patch_id + ) + UPDATE patches + SET med_disp_ts_lcp = final.med_disp_ts_lcp, + med_std_disp_ts_lcp = final.med_std_disp_ts_lcp + FROM final + WHERE patches.uid = final.patch_id; + """ + @staticmethod def calc_avg_velocity_lcp(table_name: str = "pspoint") -> str: """Calculate average velocity based on local control points (LCPs) for points. @@ -760,33 +835,154 @@ def calc_outliers(scaling_factor: float, table_name: str = "pspoint") -> str: patches table. The unit parameter allows for specifying the measurement unit (meters, centimeters, or millimeters) to appropriately scale the threshold. - :param unit: The measurement unit for velocity ("m", "cm", or "mm"). - :type unit: str + :param scaling_factor: The factor to scale the velocity threshold based on the unit. + :type scaling_factor: float :param table_name: The name of the table containing the points, default is "pspoint". :type table_name: str - :raises ValueError: If the provided unit is not recognized. :return: SQL query string to identify outlier points. :rtype: str """ return f""" - ALTER TABLE patches ADD COLUMN outlier_uid INTEGER; - WITH subquery AS ( - SELECT + CREATE OR REPLACE TABLE outliers AS + SELECT patch_id, uid + FROM {table_name} + WHERE ABS(avg_velocity_lcp) > 5 / {scaling_factor} + AND patch_id IS NOT NULL; + """ + + @staticmethod + def calc_outliers_avg_lcd( + table_name: str = "pspoint", date_vector=[int], date_names=[str] + ) -> str: + """Calculate outliers based on average local control displacement (LCD). + + This method generates an SQL query to identify outlier points based on their + displacement time series relative to the average local control displacement (LCD) + of their associated patches. Points with displacement values exceeding the average + LCD by more than standard deviations at any time point are marked as outliers + by inserting their unique identifier and patch ID into a new outliers table. + + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :param date_vector: List of time differences in days from the first date. + :type date_vector: list[int] + :param date_names: List of column names representing displacement values at different dates. + :type date_names: list[str] + :return: SQL query string to identify outlier points based on average LCD. + :rtype: str + """ + + if date_vector.max() < 730: + return "" + + first_index = npwhere(date_vector >= date_vector - 730)[0][0] + column_select = ", ".join(date_names[first_index:]) + + return f""" + with underthreshold as ( + SELECT + uid, patch_id, + ARRAY[{column_select}] as disp_ts + FROM {table_name} + WHERE uid NOT IN (SELECT uid FROM outliers) + AND patch_id IS NOT NULL + ), + sel_ts as ( + SELECT + uid, + avg_disp_ts_lcp[{first_index}:] as avg, + std_disp_ts_lcp[{first_index}:] as std, + FROM patches + WHERE patches.uid IN (SELECT patch_id FROM underthreshold) + ), + joined as ( + SELECT * from underthreshold + JOIN sel_ts on sel_ts.uid = underthreshold.patch_id + ), + ald_points as ( + SELECT uid, + patch_id, + list_min( + list_apply( + array_zip(disp_ts, avg, std), + x -> abs(x[1]-x[2]) > x[3] + ) + ) as all_greater + FROM joined + WHERE all_greater = true + ) + INSERT INTO outliers (uid, patch_id) + SELECT uid, patch_id FROM ald_points + """ + + @staticmethod + def calc_outliers_med_lcd( + table_name: str = "pspoint", date_vector=[int], date_names=[str] + ) -> str: + """Calculate outliers based on median local control displacement (LCD). + + This method generates an SQL query to identify outlier points based on their + displacement time series relative to the median local control displacement (LCD) + of their associated patches. Points with displacement values exceeding the median + LCD by more than standard deviations at any time point are marked as outliers + by inserting their unique identifier and patch ID into a new outliers table. + + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :param date_vector: List of time differences in days from the first date. + :type date_vector: list[int] + :param date_names: List of column names representing displacement values at different dates. + :type date_names: list[str] + :return: SQL query string to identify outlier points based on median LCD. + :rtype: str + """ + + if date_vector.max() < 730: + return "" + + first_index = npwhere(date_vector >= date_vector - 730)[0][0] + column_select = ", ".join(date_names[first_index:]) + + return f""" + with underthreshold as ( + SELECT + uid, + patch_id, + ARRAY[{column_select}] as disp_ts FROM {table_name} - WHERE ABS(avg_velocity_lcp) > 5 / {scaling_factor} - QUALIFY ROW_NUMBER() OVER - ( - PARTITION BY patch_id - ORDER BY ABS(avg_velocity_lcp) DESC - ) = 1 + WHERE uid NOT IN (SELECT uid FROM outliers) + AND patch_id IS NOT NULL + ), + sel_ts as ( + SELECT + uid, + med_disp_ts_lcp[{first_index}:] as med, + med_std_disp_ts_lcp[{first_index}:] as std, + FROM patches + WHERE patches.uid IN (SELECT uid FROM underthreshold) + ), + joined as ( + SELECT * from underthreshold + JOIN sel_ts on sel_ts.uid = underthreshold.patch_id + ), + ald_points as ( + SELECT + uid, + patch_id, + list_min( + list_apply( + array_zip(disp_ts, med, std), + x -> abs(x[1]-x[2]) > x[3] + ) + ) as all_greater + FROM joined + WHERE all_greater = true ) - UPDATE patches - SET outlier_uid = subquery.uid - FROM subquery - WHERE patches.uid = subquery.patch_id; + INSERT INTO outliers (uid, patch_id) + SELECT uid, patch_id FROM ald_points """ @staticmethod @@ -810,34 +1006,70 @@ def lcp_ts_patch(date_fields: list[str], table_name: str = "pspoint"): """ def outlier_ts_patch(date_fields: list[str], table_name: str = "pspoint"): + """Get outlier displacement time series for patches.""" + date_fields_str = "[" + ", ".join(date_fields) + "]" + # return f""" + # ALTER TABLE patches ADD COLUMN outlier_disp_ts DOUBLE[]; + # UPDATE patches + # SET outlier_disp_ts = subquery.disp_ts + # FROM ( + # SELECT + # p.patch_id, + # {date_fields_str} AS disp_ts + # FROM {table_name} AS p + # JOIN patches AS pa + # ON p.uid = pa.outlier_uid + # WHERE p.patch_id IS NOT NULL + # -- GROUP BY p.patch_id + # ) AS subquery + # WHERE patches.uid = subquery.patch_id; + # """ return f""" - ALTER TABLE patches ADD COLUMN outlier_disp_ts DOUBLE[]; - UPDATE patches - SET outlier_disp_ts = subquery.disp_ts + ALTER TABLE outliers ADD COLUMN disp_ts DOUBLE[]; + UPDATE outliers + SET disp_ts = subquery.disp_ts FROM ( SELECT - p.patch_id, + p.uid, {date_fields_str} AS disp_ts FROM {table_name} AS p - JOIN patches AS pa - ON p.uid = pa.outlier_uid - WHERE p.patch_id IS NOT NULL - -- GROUP BY p.patch_id + WHERE p.uid IN (SELECT uid FROM outliers) ) AS subquery - WHERE patches.uid = subquery.patch_id; + WHERE outliers.uid = subquery.uid; """ @staticmethod def outlier_rel_ts_patch(): + # return f""" + # ALTER TABLE patches ADD COLUMN outlier_rel_ts DOUBLE[]; + # UPDATE patches + # SET outlier_rel_ts = list_transform( + # outlier_disp_ts, + # (value, idx) -> value - list_element(lcp_disp_ts, idx) + # ) + # WHERE outlier_disp_ts IS NOT NULL AND lcp_disp_ts IS NOT NULL; + # """ return f""" - ALTER TABLE patches ADD COLUMN outlier_rel_ts DOUBLE[]; - UPDATE patches - SET outlier_rel_ts = list_transform( - outlier_disp_ts, - (value, idx) -> value - list_element(lcp_disp_ts, idx) + ALTER TABLE outliers ADD COLUMN rel_ts DOUBLE[]; + with p_lcp as ( + SELECT uid, lcp_disp_ts + FROM patches + WHERE lcp_uid IS NOT NULL + ), + p_out as ( + SELECT o.uid, o.patch_id, o.disp_ts, p_lcp.lcp_disp_ts + FROM outliers AS o + JOIN p_lcp + ON o.patch_id = p_lcp.uid + ) + UPDATE outliers + SET rel_ts = list_transform( + p_out.disp_ts, + (value, idx) -> value - list_element(p_out.lcp_disp_ts, idx) ) - WHERE outlier_disp_ts IS NOT NULL AND lcp_disp_ts IS NOT NULL; + FROM p_out + WHERE outliers.uid = p_out.uid """ class Visualisation: From 33cadde6106116887227d2d6fa8f9c1ce4ff0472 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Tue, 30 Sep 2025 14:35:22 +0200 Subject: [PATCH 13/34] refac: add outlier determination criteria field to table --- src/saferoad/pipeline.py | 220 +++++++++++++++++++-------------------- 1 file changed, 108 insertions(+), 112 deletions(-) diff --git a/src/saferoad/pipeline.py b/src/saferoad/pipeline.py index 0e8949f..5bed82e 100644 --- a/src/saferoad/pipeline.py +++ b/src/saferoad/pipeline.py @@ -849,6 +849,8 @@ def calc_outliers(scaling_factor: float, table_name: str = "pspoint") -> str: FROM {table_name} WHERE ABS(avg_velocity_lcp) > 5 / {scaling_factor} AND patch_id IS NOT NULL; + ALTER TABLE outliers ADD COLUMN criteria VARCHAR; + UPDATE outliers SET criteria = 'threshold'; """ @staticmethod @@ -914,8 +916,8 @@ def calc_outliers_avg_lcd( FROM joined WHERE all_greater = true ) - INSERT INTO outliers (uid, patch_id) - SELECT uid, patch_id FROM ald_points + INSERT INTO outliers (uid, patch_id, criteria) + SELECT uid, patch_id, 'ald' FROM ald_points """ @staticmethod @@ -968,7 +970,7 @@ def calc_outliers_med_lcd( SELECT * from underthreshold JOIN sel_ts on sel_ts.uid = underthreshold.patch_id ), - ald_points as ( + med_points as ( SELECT uid, patch_id, @@ -981,8 +983,8 @@ def calc_outliers_med_lcd( FROM joined WHERE all_greater = true ) - INSERT INTO outliers (uid, patch_id) - SELECT uid, patch_id FROM ald_points + INSERT INTO outliers (uid, patch_id, criteria) + SELECT uid, patch_id, 'med' FROM med_points """ @staticmethod @@ -1151,12 +1153,7 @@ def get_outliers_map(source_crs: str, scaling_factor: float) -> str: ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, ABS(avg_velocity_lcp) * {scaling_factor} AS velocity, FROM pspoint - WHERE uid IN ( - SELECT - outlier_uid, - FROM patches - WHERE outlier_uid IS NOT NULL - ) + WHERE uid IN (SELECT uid FROM outliers) ORDER BY velocity ASC; """ @@ -1232,56 +1229,28 @@ def get_ps_vel_lcp(source_crs: str, scaling_factor: float) -> str: ORDER BY velocity ASC; """ - @staticmethod - def get_outlier_zoom(source_crs: str) -> str: - """Get outlier points for zoomed-in view. - - This method generates an SQL query to retrieve outlier points based on their - average velocity relative to local control points (LCPs). Points with an absolute - average LCP velocity are retrieved, transforming the geometries from a source CRS - to a target projection defined in the Visualisation class. - - :param source_crs: The source coordinate reference system of the geometries. - :type source_crs: str - :return: SQL query string to get the outlier points. - :rtype: str - """ - return f""" - SELECT - ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, - ABS(avg_velocity_lcp) AS velocity - FROM pspoint - WHERE uid IN ( - SELECT - outlier_uid, - FROM patches - WHERE outlier_uid IS NOT NULL - ) - ORDER BY velocity DESC; - """ + # @staticmethod + # def get_outlier_zoom(source_crs: str) -> str: + # """Get outlier points for zoomed-in view. - @staticmethod - def get_ps_points(patch_id: float, source_crs: str, table_name: str) -> str: - """Get points within a specific patch. - This method generates an SQL query to retrieve points within a specific patch, - transforming the geometries from a source CRS to a target projection defined - in the Visualisation class. + # This method generates an SQL query to retrieve outlier points based on their + # average velocity relative to local control points (LCPs). Points with an absolute + # average LCP velocity are retrieved, transforming the geometries from a source CRS + # to a target projection defined in the Visualisation class. - :param patch_id: The unique identifier of the patch. - :type patch_id: float - :param source_crs: The source coordinate reference system of the geometries. - :type source_crs: str - :param table_name: The name of the table containing the points. - :type table_name: str - :return: SQL query string to get the points within the specified patch. - :rtype: str - """ - return f""" - SELECT - ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, - FROM {table_name} - WHERE patch_id = {patch_id} - """ + # :param source_crs: The source coordinate reference system of the geometries. + # :type source_crs: str + # :return: SQL query string to get the outlier points. + # :rtype: str + # """ + # return f""" + # SELECT + # ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, + # ABS(avg_velocity_lcp) AS velocity + # FROM pspoint + # WHERE uid IN (SELECT uid FROM outliers) + # ORDER BY velocity DESC; + # """ @staticmethod def get_center(patch_id: float, source_crs: str) -> str: @@ -1298,22 +1267,22 @@ def get_center(patch_id: float, source_crs: str) -> str: :return: SQL query string to get the center point of the outlier within the specified patch. """ return f""" - SELECT + SELECT ST_AsWKB(ST_TRANSFORM(ST_Centroid(geom), '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom FROM pspoint - WHERE uid = ( - SELECT outlier_uid - FROM patches - WHERE uid = {patch_id} + WHERE uid IN ( + SELECT uid + FROM outliers + WHERE patch_id = {patch_id} ) """ + @staticmethod def get_patch_center(patch_id: float, source_crs: str) -> str: """Get the center point of a specific patch. This method generates an SQL query to retrieve the center point of a specific - patch, - transforming the geometry from a source CRS to a target projection defined in the Visualisation class. + patch, transforming the geometry from a source CRS to a target projection defined in the Visualisation class. :param patch_id: The unique identifier of the patch. :type patch_id: float @@ -1322,61 +1291,84 @@ def get_patch_center(patch_id: float, source_crs: str) -> str: :return: SQL query string to get the center point of the specified patch. """ return f""" - SELECT + SELECT ST_AsWKB(ST_TRANSFORM(ST_Centroid(geom), '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom FROM patches WHERE uid = {patch_id} """ @staticmethod - def get_lcp_point(patch_id: float, source_crs: str) -> str: - """Get the local control point (LCP) within a specific patch. - - This method generates an SQL query to retrieve the local control point (LCP) - within a specific patch, transforming the geometry from a source CRS to a target - projection defined in the Visualisation class. + def get_ps_points(patch_id: float, source_crs: str, table_name: str) -> str: + """Get points within a specific patch. + This method generates an SQL query to retrieve points within a specific patch, + transforming the geometries from a source CRS to a target projection defined + in the Visualisation class. :param patch_id: The unique identifier of the patch. :type patch_id: float :param source_crs: The source coordinate reference system of the geometries. :type source_crs: str - :return: SQL query string to get the LCP within the specified patch. + :param table_name: The name of the table containing the points. + :type table_name: str + :return: SQL query string to get the points within the specified patch. + :rtype: str """ return f""" - SELECT - ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom - FROM pspoint - WHERE uid = ( - SELECT lcp_uid - FROM patches - WHERE uid = {patch_id} - ) + SELECT + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, + FROM {table_name} + WHERE patch_id = {patch_id} """ @staticmethod - def get_outlier_point(patch_id: float, source_crs: str) -> str: - """Get the outlier point within a specific patch. + def get_lcp_point(patch_id: float, source_crs: str) -> str: + """Get the local control point (LCP) within a specific patch. - This method generates an SQL query to retrieve the outlier point within a specific patch, - transforming the geometry from a source CRS to a target projection defined in the Visualisation class. + This method generates an SQL query to retrieve the local control point (LCP) + within a specific patch, transforming the geometry from a source CRS to a target + projection defined in the Visualisation class. :param patch_id: The unique identifier of the patch. :type patch_id: float :param source_crs: The source coordinate reference system of the geometries. :type source_crs: str - :return: SQL query string to get the outlier point within the specified patch. + :return: SQL query string to get the LCP within the specified patch. """ return f""" - SELECT + SELECT ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom FROM pspoint WHERE uid = ( - SELECT outlier_uid + SELECT lcp_uid FROM patches WHERE uid = {patch_id} ) """ + # @staticmethod + # def get_outlier_point(patch_id: float, source_crs: str) -> str: + # """Get the outlier point within a specific patch. + + # This method generates an SQL query to retrieve the outlier point within a specific patch, + # transforming the geometry from a source CRS to a target projection defined in the Visualisation class. + + # :param patch_id: The unique identifier of the patch. + # :type patch_id: float + # :param source_crs: The source coordinate reference system of the geometries. + # :type source_crs: str + # :return: SQL query string to get the outlier point within the specified patch. + # """ + # return f""" + # SELECT + # ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom + # FROM pspoint + # WHERE uid = ( + # SELECT outlier_uid + # FROM patches + # WHERE uid = {patch_id} + # ) + # """ + @staticmethod def get_cum_disp_graph(patch_id: float, scaling_factor: float) -> str: """Get outlier displacement time series. @@ -1392,8 +1384,8 @@ def get_cum_disp_graph(patch_id: float, scaling_factor: float) -> str: """ return f""" SELECT - list_transform(outlier_disp_ts, x -> x * {scaling_factor}) - FROM patches + list_transform(disp_ts, x -> x * {scaling_factor}) + FROM outliers WHERE uid = {patch_id} """ @@ -1437,6 +1429,26 @@ def get_std_cum_disp_graph(patch_id: float, scaling_factor: float) -> str: WHERE uid = {patch_id} """ + def get_outlier_rel_ts_graph(patch_id: float, scaling_factor: float) -> str: + # TODO: check the logic here + """Get outlier relative displacement time series. + + This method generates an SQL query to retrieve the outlier relative displacement + time series for a specific patch, scaling the displacement values by a specified factor. + + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param scaling_factor: The factor to scale the displacement values. + :type scaling_factor: float + :return: SQL query string to get the outlier relative displacement time series for the specified patch. + """ + return f""" + SELECT + list_transform(rel_ts, x -> x * {scaling_factor}) + FROM outliers + WHERE patch_id = {patch_id} + """ + @staticmethod def get_lcp_disp_graph(patch_id: float, scaling_factor: float) -> str: """Get local control point (LCP) displacement time series. @@ -1479,9 +1491,11 @@ def get_avg_disp_lcp_graph(patch_id: float, scaling_factor: float) -> str: @staticmethod def get_std_disp_lcp_graph(patch_id: float, scaling_factor: float) -> str: """Get standard deviation of displacement time series based on local control points (LCPs). + This method generates an SQL query to retrieve the standard deviation of displacement time series based on local control points (LCPs) for a specific patch, scaling the displacement values by a specified factor. + :param patch_id: The unique identifier of the patch. :type patch_id: float :param scaling_factor: The factor to scale the displacement values. @@ -1495,23 +1509,6 @@ def get_std_disp_lcp_graph(patch_id: float, scaling_factor: float) -> str: WHERE uid = {patch_id} """ - def get_outlier_rel_ts_graph(patch_id: float, scaling_factor: float) -> str: - """Get outlier relative displacement time series. - This method generates an SQL query to retrieve the outlier relative displacement - time series for a specific patch, scaling the displacement values by a specified factor. - :param patch_id: The unique identifier of the patch. - :type patch_id: float - :param scaling_factor: The factor to scale the displacement values. - :type scaling_factor: float - :return: SQL query string to get the outlier relative displacement time series for the specified patch. - """ - return f""" - SELECT - list_transform(outlier_rel_ts, x -> x * {scaling_factor}) - FROM patches - WHERE uid = {patch_id} - """ - @staticmethod def patch_uids() -> str: """Get all patch UIDs that have outliers. @@ -1523,8 +1520,7 @@ def patch_uids() -> str: :rtype: str """ return """ - SELECT uid - FROM patches - WHERE outlier_uid IS NOT NULL - ORDER BY uid ASC; + SELECT patch_id + FROM outliers + GROUP BY patch_id; """ From 4d4c1dbf174367dd09badad60875b83d6c16eed7 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Tue, 30 Sep 2025 23:48:28 +0200 Subject: [PATCH 14/34] refac: outlier access method and some docs --- src/saferoad/pipeline.py | 179 ++++++++++++++++++--------------------- 1 file changed, 83 insertions(+), 96 deletions(-) diff --git a/src/saferoad/pipeline.py b/src/saferoad/pipeline.py index 5bed82e..034797d 100644 --- a/src/saferoad/pipeline.py +++ b/src/saferoad/pipeline.py @@ -36,17 +36,17 @@ def load_file(file_path: str, table_name: str) -> str: Method validates the provided file path and determines if existing and determines the appropriate loading method based on the file type. - + It generates an SQL query to create or replace a table in the database + with the contents of the file. The method supports CSV files and other + GIS vector files, using different loading methods for each type. :param file_path: The path to the file to be loaded. :type file_path: str :param table_name: The name of the table to create or replace in the database. :type table_name: str - :raises AssertionError: If the file does not exist. :return: SQL query string to create or replace the table with the file data. :rtype: str - """ assert Path(file_path).exists(), f"File {file_path} does not exist." @@ -109,8 +109,6 @@ def split_to_segments( :param segment_length: The length of each segment in meters. :type segment_length: float - :param computational_crs: The coordinate reference system to use for calculations. - :type computational_crs: str :param table_name: The name of the table containing the lines, default is "dissolved". :type table_name: str :return: SQL query string to create or replace the segments table. @@ -559,7 +557,8 @@ def select_lcps(table_name: str = "pspoint") -> str: def calc_lcp_velocity() -> str: """Calculate LCP velocity for patches. - This method generates an SQL query to calculate the velocity of the linear control point (LCP) for each patch by retrieving the average velocity of the point identified as the LCP. + This method generates an SQL query to calculate the velocity of the linear control point (LCP) + for each patch by retrieving the average velocity of the point identified as the LCP. :return: SQL query string to calculate LCP velocity for patches. :rtype: str @@ -855,7 +854,7 @@ def calc_outliers(scaling_factor: float, table_name: str = "pspoint") -> str: @staticmethod def calc_outliers_avg_lcd( - table_name: str = "pspoint", date_vector=[int], date_names=[str] + table_name: str = "pspoint", date_vector=list[int], date_names=list[str] ) -> str: """Calculate outliers based on average local control displacement (LCD). @@ -922,7 +921,7 @@ def calc_outliers_avg_lcd( @staticmethod def calc_outliers_med_lcd( - table_name: str = "pspoint", date_vector=[int], date_names=[str] + table_name: str = "pspoint", date_vector=list[int], date_names=list[str] ) -> str: """Calculate outliers based on median local control displacement (LCD). @@ -989,6 +988,19 @@ def calc_outliers_med_lcd( @staticmethod def lcp_ts_patch(date_fields: list[str], table_name: str = "pspoint"): + """Get Local Control Point's displacement time series for patches. + + This method generates an SQL query to retrieve the displacement time series + of the local control point (LCP) for each patch based on specified date fields. + + :param date_fields: List of column names representing displacement values at different dates. + :type date_fields: list[str] + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to get LCP displacement time series for patches. + :rtype: str + + """ date_fields_str = "[" + ", ".join(date_fields) + "]" return f""" ALTER TABLE patches ADD COLUMN lcp_disp_ts DOUBLE[]; @@ -1008,25 +1020,20 @@ def lcp_ts_patch(date_fields: list[str], table_name: str = "pspoint"): """ def outlier_ts_patch(date_fields: list[str], table_name: str = "pspoint"): - """Get outlier displacement time series for patches.""" + """Get outlier displacement time series for patches. + + This method generates an SQL query to retrieve the displacement time series + of outlier points based on specified date fields. + + :param date_fields: List of column names representing displacement values at different dates. + :type date_fields: list[str] + :param table_name: The name of the table containing the points, default is "pspoint". + :type table_name: str + :return: SQL query string to get outlier displacement time series for patches. + :rtype: str + """ date_fields_str = "[" + ", ".join(date_fields) + "]" - # return f""" - # ALTER TABLE patches ADD COLUMN outlier_disp_ts DOUBLE[]; - # UPDATE patches - # SET outlier_disp_ts = subquery.disp_ts - # FROM ( - # SELECT - # p.patch_id, - # {date_fields_str} AS disp_ts - # FROM {table_name} AS p - # JOIN patches AS pa - # ON p.uid = pa.outlier_uid - # WHERE p.patch_id IS NOT NULL - # -- GROUP BY p.patch_id - # ) AS subquery - # WHERE patches.uid = subquery.patch_id; - # """ return f""" ALTER TABLE outliers ADD COLUMN disp_ts DOUBLE[]; UPDATE outliers @@ -1043,15 +1050,18 @@ def outlier_ts_patch(date_fields: list[str], table_name: str = "pspoint"): @staticmethod def outlier_rel_ts_patch(): - # return f""" - # ALTER TABLE patches ADD COLUMN outlier_rel_ts DOUBLE[]; - # UPDATE patches - # SET outlier_rel_ts = list_transform( - # outlier_disp_ts, - # (value, idx) -> value - list_element(lcp_disp_ts, idx) - # ) - # WHERE outlier_disp_ts IS NOT NULL AND lcp_disp_ts IS NOT NULL; - # """ + """Calculate outlier displacement time series relative to LCP for patches. + + This method generates an SQL query to calculate the displacement time series + of outlier points relative to the displacement time series of their associated + local control points (LCPs). It assumes that the outliers table contains a + geometry column, a displacement time series column, and a patch ID column, + and that the patches table contains a geometry column, a unique identifier + for each patch, and a displacement time series column for the LCP. + + :return: SQL query string to calculate outlier displacement time series relative to LCP for patches. + :rtype: str + """ return f""" ALTER TABLE outliers ADD COLUMN rel_ts DOUBLE[]; with p_lcp as ( @@ -1143,8 +1153,8 @@ def get_outliers_map(source_crs: str, scaling_factor: float) -> str: :param source_crs: The source coordinate reference system of the geometries. :type source_crs: str - :param unit: The measurement unit for velocity ("m", "cm", or "mm"). - :type unit: str + :param scaling_factor: The factor to scale the velocity threshold based on the unit. + :type scaling_factor: float :return: SQL query string to identify outlier points. :rtype: str """ @@ -1229,39 +1239,16 @@ def get_ps_vel_lcp(source_crs: str, scaling_factor: float) -> str: ORDER BY velocity ASC; """ - # @staticmethod - # def get_outlier_zoom(source_crs: str) -> str: - # """Get outlier points for zoomed-in view. - - # This method generates an SQL query to retrieve outlier points based on their - # average velocity relative to local control points (LCPs). Points with an absolute - # average LCP velocity are retrieved, transforming the geometries from a source CRS - # to a target projection defined in the Visualisation class. - - # :param source_crs: The source coordinate reference system of the geometries. - # :type source_crs: str - # :return: SQL query string to get the outlier points. - # :rtype: str - # """ - # return f""" - # SELECT - # ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom, - # ABS(avg_velocity_lcp) AS velocity - # FROM pspoint - # WHERE uid IN (SELECT uid FROM outliers) - # ORDER BY velocity DESC; - # """ - @staticmethod - def get_center(patch_id: float, source_crs: str) -> str: + def get_center(point_uid: float, source_crs: str) -> str: """Get the center point of the outlier within a specific patch. This method generates an SQL query to retrieve the center point of the outlier within a specific patch, transforming the geometry from a source CRS to a target projection defined in the Visualisation class. - :param patch_id: The unique identifier of the patch. - :type patch_id: float + :param point_uid: The unique identifier of the outlier point. + :type point_uid: float :param source_crs: The source coordinate reference system of the geometries. :type source_crs: str :return: SQL query string to get the center point of the outlier within the specified patch. @@ -1270,11 +1257,7 @@ def get_center(patch_id: float, source_crs: str) -> str: SELECT ST_AsWKB(ST_TRANSFORM(ST_Centroid(geom), '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom FROM pspoint - WHERE uid IN ( - SELECT uid - FROM outliers - WHERE patch_id = {patch_id} - ) + WHERE uid = {point_uid} """ @staticmethod @@ -1300,6 +1283,7 @@ def get_patch_center(patch_id: float, source_crs: str) -> str: @staticmethod def get_ps_points(patch_id: float, source_crs: str, table_name: str) -> str: """Get points within a specific patch. + This method generates an SQL query to retrieve points within a specific patch, transforming the geometries from a source CRS to a target projection defined in the Visualisation class. @@ -1345,39 +1329,40 @@ def get_lcp_point(patch_id: float, source_crs: str) -> str: ) """ - # @staticmethod - # def get_outlier_point(patch_id: float, source_crs: str) -> str: - # """Get the outlier point within a specific patch. + @staticmethod + def get_outlier_points(patch_id: float, source_crs: str) -> str: + """Get the outlier points within a specific patch. - # This method generates an SQL query to retrieve the outlier point within a specific patch, - # transforming the geometry from a source CRS to a target projection defined in the Visualisation class. + This method generates an SQL query to retrieve the outlier point within a specific patch, + transforming the geometry from a source CRS to a target projection defined in the Visualisation class. - # :param patch_id: The unique identifier of the patch. - # :type patch_id: float - # :param source_crs: The source coordinate reference system of the geometries. - # :type source_crs: str - # :return: SQL query string to get the outlier point within the specified patch. - # """ - # return f""" - # SELECT - # ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom - # FROM pspoint - # WHERE uid = ( - # SELECT outlier_uid - # FROM patches - # WHERE uid = {patch_id} - # ) - # """ + :param patch_id: The unique identifier of the patch. + :type patch_id: float + :param source_crs: The source coordinate reference system of the geometries. + :type source_crs: str + :return: SQL query string to get the outlier point within the specified patch. + """ + return f""" + SELECT + uid, + ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom + FROM pspoint + WHERE uid IN ( + SELECT uid + FROM outliers + WHERE patch_id = {patch_id} + ) + """ @staticmethod - def get_cum_disp_graph(patch_id: float, scaling_factor: float) -> str: + def get_cum_disp_graph(outlier_id: float, scaling_factor: float) -> str: """Get outlier displacement time series. This method generates an SQL query to retrieve the outlier displacement time series for a specific patch, scaling the displacement values by a specified factor. - :param patch_id: The unique identifier of the patch. - :type patch_id: float + :param outlier_id: The unique identifier of the patch. + :type outlier_id: float :param scaling_factor: The factor to scale the displacement values. :type scaling_factor: float :return: SQL query string to get the outlier displacement time series for the specified patch. @@ -1386,7 +1371,7 @@ def get_cum_disp_graph(patch_id: float, scaling_factor: float) -> str: SELECT list_transform(disp_ts, x -> x * {scaling_factor}) FROM outliers - WHERE uid = {patch_id} + WHERE uid = {outlier_id} """ @staticmethod @@ -1429,15 +1414,15 @@ def get_std_cum_disp_graph(patch_id: float, scaling_factor: float) -> str: WHERE uid = {patch_id} """ - def get_outlier_rel_ts_graph(patch_id: float, scaling_factor: float) -> str: + def get_outlier_rel_ts_graph(outlier_id: float, scaling_factor: float) -> str: # TODO: check the logic here """Get outlier relative displacement time series. This method generates an SQL query to retrieve the outlier relative displacement time series for a specific patch, scaling the displacement values by a specified factor. - :param patch_id: The unique identifier of the patch. - :type patch_id: float + :param outlier_id: The unique identifier of the patch. + :type outlier_id: float :param scaling_factor: The factor to scale the displacement values. :type scaling_factor: float :return: SQL query string to get the outlier relative displacement time series for the specified patch. @@ -1446,7 +1431,7 @@ def get_outlier_rel_ts_graph(patch_id: float, scaling_factor: float) -> str: SELECT list_transform(rel_ts, x -> x * {scaling_factor}) FROM outliers - WHERE patch_id = {patch_id} + WHERE uid = {outlier_id} """ @staticmethod @@ -1472,9 +1457,11 @@ def get_lcp_disp_graph(patch_id: float, scaling_factor: float) -> str: @staticmethod def get_avg_disp_lcp_graph(patch_id: float, scaling_factor: float) -> str: """Get average displacement time series based on local control points (LCPs). + This method generates an SQL query to retrieve the average displacement time series based on local control points (LCPs) for a specific patch, scaling the displacement values by a specified factor. + :param patch_id: The unique identifier of the patch. :type patch_id: float :param scaling_factor: The factor to scale the displacement values. From 2905d000bbb77b97bb8da837c4ada8f7e453ad75 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Tue, 30 Sep 2025 23:55:59 +0200 Subject: [PATCH 15/34] refac: return numpy array for convenience --- src/saferoad/utils.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/saferoad/utils.py b/src/saferoad/utils.py index 7a64cb9..434865d 100644 --- a/src/saferoad/utils.py +++ b/src/saferoad/utils.py @@ -2,6 +2,7 @@ import time from datetime import datetime from dateutil import parser as dsparser +from numpy import array as nparray def extract_dates(column_names: list[str]) -> tuple[list[str], list[datetime]]: @@ -29,7 +30,7 @@ def extract_dates(column_names: list[str]) -> tuple[list[str], list[datetime]]: return nameFields, dateFields -def time_vector(dates: list[datetime]) -> list[float]: +def time_vector(dates: list[datetime]) -> nparray: """Generates a time vector in days from a list of datetime objects. :param dates: List of datetime objects. @@ -37,7 +38,7 @@ def time_vector(dates: list[datetime]) -> list[float]: :return: List of time differences in days from the first date. :rtype: list[float] """ - return [(i - dates[0]).days for i in dates] + return nparray([(i - dates[0]).days for i in dates]) class Timer(object): From 8e3abdeeda33e52d516d19c5851187d936025d2a Mon Sep 17 00:00:00 2001 From: shnmrt Date: Tue, 30 Sep 2025 23:59:40 +0200 Subject: [PATCH 16/34] update: test updates --- tests/test_pipeline.py | 26 +++++++++----------------- 1 file changed, 9 insertions(+), 17 deletions(-) diff --git a/tests/test_pipeline.py b/tests/test_pipeline.py index a85fd93..658b7fe 100644 --- a/tests/test_pipeline.py +++ b/tests/test_pipeline.py @@ -160,7 +160,7 @@ def test_calc_avg_lcp_velocity(self): def test_calc_outliers(self): query = Pipeline.Processing.calc_outliers(1000.0, "test_table") self.assertIn("test_table", query) - self.assertIn("outlier_uid", query) + self.assertIn("uid", query) self.assertIn("1000.0", query) def test_lcp_ts_patch(self): @@ -177,12 +177,12 @@ def test_outlier_ts_patch(self): for date in date_fields: self.assertIn(date, query) self.assertIn("test_table", query) - self.assertIn("outlier_disp_ts", query) + self.assertIn("disp_ts", query) def test_outlier_rel_ts_patch(self): query = Pipeline.Processing.outlier_rel_ts_patch() - self.assertIn("outlier_rel_ts", query) - self.assertIn("outlier_disp_ts", query) + self.assertIn("rel_ts", query) + self.assertIn("disp_ts", query) self.assertIn("lcp_disp_ts", query) @@ -228,12 +228,6 @@ def test_get_ps_vel_lcp(self): self.assertIn("1000.0", query) self.assertIn("avg_velocity_lcp", query) - def test_get_outlier_zoom(self): - query = Pipeline.Visualisation.get_outlier_zoom("EPSG:4326") - self.assertIn("EPSG:4326", query) - self.assertIn("EPSG:3857", query) # Default projection - self.assertIn("outlier_uid", query) - def test_get_ps_points(self): query = Pipeline.Visualisation.get_ps_points(123, "EPSG:4326", "test_table") self.assertIn("EPSG:4326", query) @@ -262,18 +256,17 @@ def test_get_lcp_point(self): self.assertIn("123", query) self.assertIn("lcp_uid", query) - def test_get_outlier_point(self): - query = Pipeline.Visualisation.get_outlier_point(123, "EPSG:4326") + def test_get_outlier_points(self): + query = Pipeline.Visualisation.get_outlier_points(123, "EPSG:4326") self.assertIn("EPSG:4326", query) self.assertIn("EPSG:3857", query) # Default projection self.assertIn("123", query) - self.assertIn("outlier_uid", query) def test_get_cum_disp_graph(self): query = Pipeline.Visualisation.get_cum_disp_graph(123, 1000.0) self.assertIn("123", query) self.assertIn("1000.0", query) - self.assertIn("outlier_disp_ts", query) + self.assertIn("disp_ts", query) def test_get_avg_cum_disp_graph(self): query = Pipeline.Visualisation.get_avg_cum_disp_graph(123, 1000.0) @@ -309,9 +302,8 @@ def test_get_outlier_rel_ts_graph(self): query = Pipeline.Visualisation.get_outlier_rel_ts_graph(123, 1000.0) self.assertIn("123", query) self.assertIn("1000.0", query) - self.assertIn("outlier_rel_ts", query) def test_patch_uids(self): query = Pipeline.Visualisation.patch_uids() - self.assertIn("uid", query) - self.assertIn("outlier_uid IS NOT NULL", query) + self.assertIn("patch_id", query) + self.assertIn("outliers", query) From 2535f39d6ee5255af5000099a03d2d76e15095f3 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Wed, 1 Oct 2025 00:02:01 +0200 Subject: [PATCH 17/34] refac: clean up after tests added --- tests/test_saferoad.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/tests/test_saferoad.py b/tests/test_saferoad.py index 94c3d22..eb0bade 100644 --- a/tests/test_saferoad.py +++ b/tests/test_saferoad.py @@ -81,6 +81,11 @@ def test_generate_report(self): except Exception as e: self.fail(f"generate_report raised an exception: {e}") + finally: + # Clean up the test file + if os.path.exists("./test_report2.pdf"): + os.remove("./test_report2.pdf") + def test_scaling_factor(self): # Test the _scaling_factor_ property self.ps_data.unit = "m" @@ -159,6 +164,11 @@ def test_generate_report_custom_output(self): except Exception as e: self.fail(f"generate_report with custom output raised an exception: {e}") + finally: + # Clean up the test file + if os.path.exists("./custom_report_output.pdf"): + os.remove("./custom_report_output.pdf") + def test_render_ts_plots_workers(self): """Test that time series plots are correctly rendered in the report.""" From 3ed9737a19f36562ce77860b150ec1574be3b44a Mon Sep 17 00:00:00 2001 From: shnmrt Date: Wed, 1 Oct 2025 00:05:18 +0200 Subject: [PATCH 18/34] update: type change --- tests/test_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_utils.py b/tests/test_utils.py index a89066a..f1a7fce 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -63,7 +63,7 @@ def test_time_vector(self): ] expected_vector = [0, 1, 9, 19] result_vector = time_vector(dates) - self.assertEqual(result_vector, expected_vector) + self.assertEqual(list(result_vector), expected_vector) def test_time_vector_single_date(self): dates = [datetime(2022, 1, 1)] From 2dbe0cabc1ec668262653744d924f9cbc563337d Mon Sep 17 00:00:00 2001 From: shnmrt Date: Wed, 1 Oct 2025 11:51:33 +0200 Subject: [PATCH 19/34] fix: color of the 1sigma std --- src/saferoad/plotter.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/saferoad/plotter.py b/src/saferoad/plotter.py index 62e652c..d96d066 100644 --- a/src/saferoad/plotter.py +++ b/src/saferoad/plotter.py @@ -337,9 +337,9 @@ def outlier_color_label(self, value: float) -> tuple[str, str]: :return: Tuple containing color and label. :rtype: tuple[str, str] """ - if value <= 7: + if 5 <= value <= 7: return "yellow", "5<|v|<7 mm/yr" - elif value <= 9: + elif 7 < value <= 9: return "orange", "7<|v|<9 mm/yr" else: return "red", "9<|v|<12 mm/yr" @@ -695,7 +695,7 @@ def plot_std_disp_graph( x, [y_avg[i] - y_std[i] for i in range(len(y_avg))], [y_avg[i] + y_std[i] for i in range(len(y_avg))], - color="lightgrey", + color="whitesmoke", alpha=0.5, # label="±1 Std Dev", ) From a0c48a7b53992c8108d7b614fef9cd03f74aee98 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Wed, 1 Oct 2025 16:28:47 +0200 Subject: [PATCH 20/34] add: init module --- src/saferoad/__init__.py | 7 +++++++ tests/__main__.py | 6 ++++++ 2 files changed, 13 insertions(+) create mode 100644 src/saferoad/__init__.py create mode 100644 tests/__main__.py diff --git a/src/saferoad/__init__.py b/src/saferoad/__init__.py new file mode 100644 index 0000000..7661727 --- /dev/null +++ b/src/saferoad/__init__.py @@ -0,0 +1,7 @@ +from .saferoad import SafeRoad, PsData, Road +from .database import DataBase +from .pipeline import Pipeline + +__version__ = "0.1.0" + +__all__ = ["SafeRoad", "PsData", "Road", "DataBase", "Pipeline", "__version__"] diff --git a/tests/__main__.py b/tests/__main__.py new file mode 100644 index 0000000..bdbf88f --- /dev/null +++ b/tests/__main__.py @@ -0,0 +1,6 @@ +from .test_suite import suite +import unittest + +if __name__ == "__main__": + runner = unittest.TextTestRunner(verbosity=2) + runner.run(suite()) From 9890e97e2244fe1989af5021d3dbc3c14de1cfa0 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Fri, 3 Oct 2025 09:51:54 +0200 Subject: [PATCH 21/34] feat: fundamental data classes --- src/saferoad/saferoad.py | 82 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 82 insertions(+) create mode 100644 src/saferoad/saferoad.py diff --git a/src/saferoad/saferoad.py b/src/saferoad/saferoad.py new file mode 100644 index 0000000..77e7929 --- /dev/null +++ b/src/saferoad/saferoad.py @@ -0,0 +1,82 @@ +# standard modules +import io +from datetime import datetime +from joblib import Parallel, delayed +from shapely.wkb import loads as wkb_loads +from dataclasses import dataclass +from typing import Literal +from tqdm import tqdm + +# plotting modules +import matplotlib +from matplotlib.backends.backend_pdf import PdfPages +from matplotlib import pyplot as plt + +matplotlib.use("Agg") +# saferoad modules +from .plotter import Plotter +from .database import DataBase +from .pipeline import Pipeline +from .utils import extract_dates, time_vector, Timer + + +@dataclass +class PsData: + """Class for storing point source data information. + + :param filepath: Path to the point source data file. + :type filepath: str + :param latitude: Field name of the latitude field in the data file. + :type latitude: str + :param longitude: Field name of the longitude field in the data file. + :type longitude: str + :param unit: Unit of measurement for the coordinates. Options are "m", "cm", or "mm". Default is "m". + :type unit: Literal["m", "cm", "mm"] + :param crs_code: Coordinate Reference System code. Default is "EPSG:4326". + :type crs_code: str + :param name: Name identifier for the point source data. Default is "pspoint". + :type name: str + """ + + filepath: str + latitude: str + longitude: str + unit: Literal["m", "cm", "mm"] = "m" + crs_code: str = "EPSG:4326" + name: str = "pspoint" + + def __post_init__(self): + assert self.filepath, "File path must be provided." + assert isinstance(self.filepath, str), "File path must be a string." + assert self.latitude, "Latitude field name must be provided." + assert isinstance(self.latitude, str), "Latitude field name must be a string." + assert self.longitude, "Longitude field name must be provided." + assert isinstance(self.longitude, str), "Longitude field name must be a string." + assert self.unit in ["m", "cm", "mm"], "Unit must be one of 'm', 'cm', or 'mm'." + assert self.crs_code, "CRS code must be provided." + assert isinstance(self.crs_code, str), "CRS code must be a string." + assert self.name, "Name must be provided." + assert isinstance(self.name, str), "Name must be a string." + + +@dataclass +class Road: + """Class for storing road data information. + + :param filepath: Path to the road data file. + :type filepath: str + :param crs_code: Coordinate Reference System code. Default is "EPSG:4326". + :type crs_code: str + :param name: Name identifier for the road data. Default is "road". + :type name: str + """ + + filepath: str + crs_code: str = "EPSG:4326" + name: str = "road" + + def __post_init__(self): + assert self.filepath, "File path must be provided." + assert isinstance(self.filepath, str), "File path must be a string." + assert self.name, "Name must be provided." + assert isinstance(self.name, str), "Name must be a string." From 1463510c4cec15245c7b389d63a5e3cb5ea6f81f Mon Sep 17 00:00:00 2001 From: shnmrt Date: Fri, 3 Oct 2025 09:56:15 +0200 Subject: [PATCH 22/34] feat: saferoad class initialization --- src/saferoad/saferoad.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/src/saferoad/saferoad.py b/src/saferoad/saferoad.py index 77e7929..cbf6476 100644 --- a/src/saferoad/saferoad.py +++ b/src/saferoad/saferoad.py @@ -80,3 +80,32 @@ def __post_init__(self): assert isinstance(self.filepath, str), "File path must be a string." assert self.name, "Name must be provided." assert isinstance(self.name, str), "Name must be a string." + + +class SafeRoad: + """ + A class to perform road deformation analysis using MT-InSAR data. + + :param road: An instance of the Road class containing road data information. + :type road: Road + :param ps_data: An instance of the PsData class containing MT-InSAR data information. + :type ps_data: PsData + :param computational_crs: A string representing the EPSG code for the computational CRS. + :type computational_crs: str + """ + + def __init__(self, road: Road, ps_data: PsData, computational_crs: str): + + assert isinstance(road, Road), "road must be an instance of Road class" + assert isinstance( + ps_data, PsData + ), "ps_data must be an instance of PsData class" + assert isinstance( + computational_crs, str + ), "computational_crs must be a string representing the EPSG code" + + self.ps_data = ps_data + self.road_data = road + self.database = DataBase() + # self.scaling_factor = self._set_scaling_factor_() + self.computational_crs = computational_crs From de5638fe056eddf122b895802a802f8f12a7f07b Mon Sep 17 00:00:00 2001 From: shnmrt Date: Fri, 3 Oct 2025 09:59:51 +0200 Subject: [PATCH 23/34] feat: scaling factor based on the unit of the given mt-insar data --- src/saferoad/saferoad.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/src/saferoad/saferoad.py b/src/saferoad/saferoad.py index cbf6476..d58b6fe 100644 --- a/src/saferoad/saferoad.py +++ b/src/saferoad/saferoad.py @@ -109,3 +109,10 @@ def __init__(self, road: Road, ps_data: PsData, computational_crs: str): self.database = DataBase() # self.scaling_factor = self._set_scaling_factor_() self.computational_crs = computational_crs + + @property + def _scaling_factor_(self): + # determine the scaling factor based on the unit + units = ["m", "cm", "mm"] + sf = [1000, 10, 1] + return sf[units.index(self.ps_data.unit)] From 14b1cb70da6b29ed142a75983442e4571c30795b Mon Sep 17 00:00:00 2001 From: shnmrt Date: Mon, 1 Dec 2025 11:45:14 +0100 Subject: [PATCH 24/34] closing plot to prevent warnings --- src/saferoad/plotter.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/saferoad/plotter.py b/src/saferoad/plotter.py index d96d066..a874fd7 100644 --- a/src/saferoad/plotter.py +++ b/src/saferoad/plotter.py @@ -448,6 +448,7 @@ def generate_figure(self): axs["E"].set_ylabel("[mm]", fontsize=8, labelpad=2) self.fig = fig self.axs = [axs["A"], axs["B"], axs["C"], axs["D"], axs["E"]] + plt.close() def plot_basemap_outlier(self, center: tuple[float, float]): """ From 241eed08f8a0c9a5bcc76a335a59dcbe0a8bedcb Mon Sep 17 00:00:00 2001 From: shnmrt Date: Mon, 1 Dec 2025 15:05:28 +0100 Subject: [PATCH 25/34] last touches --- src/saferoad/saferoad.py | 542 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 542 insertions(+) diff --git a/src/saferoad/saferoad.py b/src/saferoad/saferoad.py index d58b6fe..565dcac 100644 --- a/src/saferoad/saferoad.py +++ b/src/saferoad/saferoad.py @@ -116,3 +116,545 @@ def _scaling_factor_(self): units = ["m", "cm", "mm"] sf = [1000, 10, 1] return sf[units.index(self.ps_data.unit)] + + def load_files(self): + """ + Load the road and MT-InSAR data files into the database. + """ + + # setup the db if loading + with Timer("Setting up the database"): + self.database.setup() + # road_query + with Timer("Loading road data"): + self.database.run( + Pipeline.Processing.load_file( + self.road_data.filepath, self.road_data.name + ) + ) + # ps_query + with Timer("Loading ps data"): + self.database.run( + Pipeline.Processing.load_file(self.ps_data.filepath, self.ps_data.name) + ) + + def preprocess(self, attribute: str = None): + """ + Preprocess the road and MT-InSAR data. + + This includes transforming the data to the computational CRS, dissolving road features, + and building geometries for the MT-InSAR points. + 1. Transform the road and MT-InSAR data to the computational CRS. + 2. Dissolve road features based on the provided attribute if given, otherwise merge all features. + 3. Build geometries for the MT-InSAR points from the latitude and longitude columns. + 4. Transform the MT-InSAR data to the computational CRS. + + :param attribute: An optional string representing the attribute to dissolve road features. + If None, all features will be merged. Default is None. + :type attribute: str, optional + """ + # Transform the road projection + with Timer("Transforming road data to computational CRS"): + self.database.run( + Pipeline.Processing.spatial_tranformation( + source_epsg=self.road_data.crs_code, + target_epsg=self.computational_crs, + table_name=self.road_data.name, + ) + ) + + # Dissolve the road features based on the provided attribute if given if not merge everything + with Timer("Dissolving road features"): + self.database.run( + Pipeline.Processing.dissolve_features( + attribute=attribute, table_name=self.road_data.name + ) + ) + # build the geometry for the psoints from csv headers + with Timer("Building geometry for PS data"): + self.database.run( + Pipeline.Processing.build_geometry( + latitude=self.ps_data.latitude, + longitude=self.ps_data.longitude, + table_name=self.ps_data.name, + ) + ) + + # Transform the ps data to the computational CRS + with Timer("Transforming PS data to computational CRS"): + self.database.run( + Pipeline.Processing.spatial_tranformation( + source_epsg=self.ps_data.crs_code, + target_epsg=self.computational_crs, + table_name=self.ps_data.name, + ) + ) + + def generate_rectangles(self, road_width: float, segment_length: float): + """ + Generate road segments and patches. + + This involves: + 1. Splitting the road into segments of equal length. + 2. Generating rectangles along the road segments with a specified width. + 2. Rotating the generated rectangles int the same direction along the road. + + :param road_width: A float representing the width of the road segments in meters. + :param segment_length: A float representing the length of each road segment in meters. + """ + + with Timer("Generating road segments and patches"): + self.database.run( + Pipeline.Processing.split_to_segments(segment_length=segment_length) + ) + self.database.run( + Pipeline.Processing.generate_patches( + width=road_width, length=segment_length + ) + ) + + def run_analysis(self): + """ + Run the deformation analysis on the MT-InSAR data for road network. + + This includes calculating cumulative displacement, average velocity, point density, + local control points, and outliers. + """ + # calculate displacement per points + # get the column names from the ps_data + fields = [ + i[0] + for i in self.database.connection.sql( + Pipeline.Processing.get_column_names(self.ps_data.name) + ).fetchall() + ] + + # extract dates from the column names and generate time vector + names, dates = extract_dates(column_names=fields) + date_vector = time_vector(dates=dates) + + with Timer("Calculating cumulative displacement per point"): + self.database.run( + Pipeline.Processing.calc_cum_disp( + dates=names, table_name=self.ps_data.name + ) + ) + + # build spatial relation with + # assign points to patches generate patch_id field on pspoint table + with Timer("Relating points to patches"): + self.database.run( + Pipeline.Processing.relate_point_patches(self.ps_data.name) + ) + + # calculate average velocity per point needs patch_id in pspoint table for optimization purposes + with Timer("Calculating average velocity per point"): + self.database.run( + Pipeline.Processing.calc_avg_velocity( + time_vector=date_vector, + field_names=names, + table_name=self.ps_data.name, + ) + ) + + # calculate point count per patch and point density + with Timer("Calculating point density per patch"): + self.database.run(Pipeline.Processing.calc_point_density(self.ps_data.name)) + # calculate average cumulative displacement per patch + with Timer("Calculating average cumulative displacement per patch"): + self.database.run(Pipeline.Processing.calc_avg_cum_disp()) + # calculate average displacement time series per patch based on gcp + with Timer( + "Calculating average displacement time series per patch based on GCP" + ): + self.database.run( + Pipeline.Processing.calc_avg_disp_ts_gcp(date_fields=names) + ) + # calculate standard deviation of displacement time series per patch based on gcp + with Timer( + "Calculating standard deviation of displacement time series per patch based on GCP" + ): + self.database.run( + Pipeline.Processing.calc_std_disp_ts_gcp(date_fields=names) + ) + + # calculate average velocity per patch based on gcp + with Timer("Calculating average velocity per patch based on GCP"): + self.database.run( + Pipeline.Processing.calc_avg_velocity_gcp(table_name=self.ps_data.name) + ) + + # calculate the local control point per patch + with Timer("Calculating local control points per patch"): + self.database.run(Pipeline.Processing.select_lcps(self.ps_data.name)) + + # calculate the local control point avg velocity per patch + with Timer("Calculating local control points average velocity per patch"): + self.database.run(Pipeline.Processing.calc_lcp_velocity()) + + # calculate the average and std of the displacement time series per patch based on lcp + with Timer( + "Calculating average and std of displacement time series per patch based on LCP" + ): + self.database.run( + Pipeline.Processing.calc_avg_std_disp_ts_lcp( + date_fields=names, table_name=self.ps_data.name + ) + ) + + # calculate the median and std of the displacement time series per patch based on lcp + with Timer( + "Calculating median and std of displacement time series per patch based on LCP" + ): + self.database.run( + Pipeline.Processing.calc_med_std_disp_ts_lcp( + date_fields=names, table_name=self.ps_data.name + ) + ) + + # calculate the average velocity per patch based on lcp + with Timer("Calculating average velocity per patch based on LCP"): + self.database.run( + Pipeline.Processing.calc_avg_velocity_lcp(table_name=self.ps_data.name) + ) + + # calculate the average relative velocity per patch based on lcp + with Timer("Calculating average relative velocity per patch based on LCP"): + self.database.run( + Pipeline.Processing.calc_avg_lcp_velocity(self.ps_data.name) + ) + + # calulate the outliers per patch based + with Timer("Calculating outliers per patch"): + self.database.run( + Pipeline.Processing.calc_outliers( + self._scaling_factor_, self.ps_data.name + ) + ) + + threshold_count = self.database.connection.execute( + "Select count(*) from outliers;" + ).fetchone()[0] + print("%s outliers detected by threshold method" % threshold_count) + + self.database.run( + Pipeline.Processing.calc_outliers_avg_lcd( + self.ps_data.name, date_vector=date_vector, date_names=names + ) + ) + ald_count = ( + self.database.connection.execute( + "Select count(*) from outliers;" + ).fetchone()[0] + - threshold_count + ) + print("%s outliers detected by avg local disp method" % (ald_count)) + + self.database.run( + Pipeline.Processing.calc_outliers_med_lcd( + self.ps_data.name, date_vector=date_vector, date_names=names + ) + ) + med_count = ( + self.database.connection.execute( + "select count(*) from outliers;" + ).fetchone()[0] + - ald_count + - threshold_count + ) + print("%s outliers detected by median local disp method" % (med_count)) + + with Timer("Collecting and patching the LCP time series"): + self.database.run( + Pipeline.Processing.lcp_ts_patch( + date_fields=names, table_name=self.ps_data.name + ) + ) + with Timer("Collecting outlier time series"): + self.database.run( + Pipeline.Processing.outlier_ts_patch( + date_fields=names, table_name=self.ps_data.name + ) + ) + with Timer("collecting differential displacement time series"): + self.database.run(Pipeline.Processing.outlier_rel_ts_patch()) + + def generate_report(self, output_name: str): + """ + Generate a PDF report containing maps and time series plots. + + :param output_name: A string representing the name of the output PDF file endswith `.pdf` extension. + :type output_name: str + """ + + def render_ts_plots_workers( + patch_uid: float, + outliers: list[tuple], + dates: list[datetime], + outlier_center: tuple[float, float], # + patch_center: tuple, + pspoints: list[tuple], + lcp_point: list[tuple], + cum_disp: list[tuple], + avg_cum_disp: list[tuple], + std_cum_disp: list[tuple], + outlier_rel_ts: list[tuple], + avg_lcp_disp: list[tuple], + std_lcp_disp: list[tuple], + lcp_disp: list[tuple], + ) -> bytes: + + # plotting + tsplotter = Plotter.TimeSeriesPane() + # 0 + tsplotter.plot_basemap_outlier(wkb_loads(outlier_center[0]).xy) + tsplotter.plot_all_outliers(outliers) + tsplotter.plot_square(wkb_loads(outlier_center[0]).xy) + tsplotter.plot_basemap_pspoint(wkb_loads(patch_center[0]).xy) + # 1 + tsplotter.plot_pspoint_dist(pspoints) + tsplotter.plot_lcp(lcp_point) + tsplotter.plot_outlier(outliers) + # 2 + tsplotter.plot_std_disp_graph(avg_cum_disp, std_cum_disp, dates) + tsplotter.plot_avg_disp_graph(avg_cum_disp, dates) + tsplotter.plot_cum_disp_graph(cum_disp, dates) + + # 3 + tsplotter.plot_std_rel_disp_graph(avg_lcp_disp, std_lcp_disp, dates) + tsplotter.plot_avg_rel_disp_graph(avg_lcp_disp, dates) + tsplotter.plot_rel_disp_graph(outlier_rel_ts, dates) + + # 4 + tsplotter.plot_std_lcp_disp_graph(avg_cum_disp, std_cum_disp, dates) + tsplotter.plot_avg_lcp_disp_graph(avg_cum_disp, dates) + tsplotter.plot_lcp_disp_graph(lcp_disp, dates) + tsplotter.post_process() + + fig, _ = tsplotter.get_figure() + + buf = io.BytesIO() + fig.savefig(buf, format="png") + plt.close(fig) + return buf.getvalue() + + # export the results + with Timer("Generating and saving the report"): + with PdfPages(output_name) as pdf: + # bbox of the patches + + bbox = self.database.connection.execute( + Pipeline.Visualisation.get_table_bbox( + "patches", self.computational_crs + ) + ).fetchall() + # ps density and patch geometries + ps_density = self.database.connection.execute( + Pipeline.Visualisation.get_ps_density(self.computational_crs) + ).fetchall() + # outliers and coordinates + outliers = self.database.connection.execute( + Pipeline.Visualisation.get_outliers_map( + self.computational_crs, self._scaling_factor_ + ) + ).fetchall() + # cumulative displacement per point + cum_disp = self.database.connection.execute( + Pipeline.Visualisation.get_cum_disp_map( + self.computational_crs, self._scaling_factor_ + ) + ).fetchall() + # gcp average velocity per point + gcp_vel = self.database.connection.execute( + Pipeline.Visualisation.get_ps_vel_gcp( + self.computational_crs, self._scaling_factor_ + ) + ).fetchall() + # lcp average velocity per point + lcp_vel = self.database.connection.execute( + Pipeline.Visualisation.get_ps_vel_lcp( + self.computational_crs, self._scaling_factor_ + ) + ).fetchall() + + # plotting the first page -- maps + print("Starting to render the map page") + map_plotter = Plotter.MapPane() + map_plotter.plot_basemap(bbox=bbox) + map_plotter.plot_ps_density(ps_density) + map_plotter.plot_outliers(outliers) + map_plotter.plot_cum_disp(cum_disp) + map_plotter.plot_gcp_velocity(gcp_vel) + map_plotter.plot_lcp_velocity(lcp_vel) + map_plotter.post_process() + fig, _ = map_plotter.get_figure() + plt.close(fig) + pdf.savefig(fig) + print("Map page has been rendered") + + print("Intiating time series rendering") + # collect the patch_ids which has outliers + puids = [ + i[0] + for i in self.database.connection.execute( + Pipeline.Visualisation.patch_uids() + ).fetchall() + ] + _, dates = extract_dates( + [ + i[0] + for i in self.database.connection.execute( + Pipeline.Processing.get_column_names(self.ps_data.name) + ).fetchall() + ] + ) + outliers_map = self.database.connection.execute( + Pipeline.Visualisation.get_outliers_map( + self.computational_crs, self._scaling_factor_ + ) + ).fetchall() + + # prepare the data for parallel processing + data_ready = [] + for uid in puids: + outliers = self.database.connection.execute( + Pipeline.Visualisation.get_outlier_points( + patch_id=uid, source_crs=self.computational_crs + ) + ).fetchall() + patch_center = self.database.connection.execute( + Pipeline.Visualisation.get_patch_center( + patch_id=uid, source_crs=self.computational_crs + ) + ).fetchone() + + pspoints = self.database.connection.execute( + Pipeline.Visualisation.get_ps_points( + patch_id=uid, + source_crs=self.computational_crs, + table_name=self.ps_data.name, + ) + ).fetchall() # pspoints + + lcp_point = self.database.connection.execute( + Pipeline.Visualisation.get_lcp_point( + patch_id=uid, source_crs=self.computational_crs + ) + ).fetchone() # lcp point + + avg_cum_disp = self.database.connection.execute( + Pipeline.Visualisation.get_avg_cum_disp_graph( + patch_id=uid, scaling_factor=self._scaling_factor_ + ) + ).fetchall() # avg_cum_disp + + std_cum_disp = self.database.connection.execute( + Pipeline.Visualisation.get_std_cum_disp_graph( + patch_id=uid, scaling_factor=self._scaling_factor_ + ) + ).fetchall() # std_cum_disp + + avg_lcp_disp = self.database.connection.execute( + Pipeline.Visualisation.get_avg_disp_lcp_graph( + patch_id=uid, scaling_factor=self._scaling_factor_ + ) + ).fetchall() # avg_lcp_disp + + std_lcp_disp = self.database.connection.execute( + Pipeline.Visualisation.get_std_disp_lcp_graph( + patch_id=uid, scaling_factor=self._scaling_factor_ + ) + ).fetchall() # std_lcp_disp + + lcp_disp = self.database.connection.execute( + Pipeline.Visualisation.get_lcp_disp_graph( + patch_id=uid, scaling_factor=self._scaling_factor_ + ) + ).fetchall() # lcp_disp + + for outlier in outliers: + o_id = outlier[0] + center = self.database.connection.execute( + Pipeline.Visualisation.get_center( + point_uid=o_id, source_crs=self.computational_crs + ) + ).fetchone() + cum_disp = self.database.connection.execute( + Pipeline.Visualisation.get_cum_disp_graph( + outlier_id=o_id, scaling_factor=self._scaling_factor_ + ) + ).fetchall() # cum_disp + + outlier_rel_ts = self.database.connection.execute( + Pipeline.Visualisation.get_outlier_rel_ts_graph( + outlier_id=o_id, scaling_factor=self._scaling_factor_ + ) + ).fetchall() # outlier_rel_ts + data_ready.append( + ( + uid, + outliers_map, + dates, + center, + patch_center, + pspoints, + lcp_point, + cum_disp, + avg_cum_disp, + std_cum_disp, + outlier_rel_ts, + avg_lcp_disp, + std_lcp_disp, + lcp_disp, + ) + ) + + print(f"Total pages to render for outliers: {len(data_ready)}") + + png_pages = Parallel(n_jobs=-1, backend="loky")( + delayed(render_ts_plots_workers)( + patch_uid, + outliers, + dates, + outlier_center, + patch_center, + pspoints, + lcp_point, + cum_disp, + avg_cum_disp, + std_cum_disp, + outlier_rel_ts, + avg_lcp_disp, + std_lcp_disp, + lcp_disp, + ) + for ( + patch_uid, + outliers, + dates, + outlier_center, + patch_center, + pspoints, + lcp_point, + cum_disp, + avg_cum_disp, + std_cum_disp, + outlier_rel_ts, + avg_lcp_disp, + std_lcp_disp, + lcp_disp, + ) in tqdm(data_ready) + ) + print("All plots rendered, now saving to pdf") + for png in png_pages: + img = plt.imread(io.BytesIO(png), format="png") + fig, ax = plt.subplots(figsize=(12, 12), dpi=80) + # ax = fig.add_subplot(111) + ax.imshow(img) + ax.axis("off") + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_frame_on(False) + pdf.savefig(fig) + plt.close(fig) + print("All pages saved to pdf") From 685017e8824ef75318cc02802488588515c3c36a Mon Sep 17 00:00:00 2001 From: shnmrt Date: Mon, 1 Dec 2025 15:13:16 +0100 Subject: [PATCH 26/34] readme file --- README.md | 52 +++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 51 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index cbdafca..126d93e 100644 --- a/README.md +++ b/README.md @@ -1 +1,51 @@ -# SafeRoads \ No newline at end of file +# SafeRoad + +## About + +**SafeRoad** is an open-source Python library designed to monitor the structural condition of the road network by providing tools for data analysis and visualisation. +It aims to assist researchers, policymakers, and developers in understanding and mitigating structural safety issues of road networks. +**SafeRoad** is built with a focus on usability, performance, and extensibility. It uses modern Python libraries such as [duckdb](https://duckdb.org/), +[shapely](https://shapely.readthedocs.io/en/stable/), [matplotlib](https://matplotlib.org/) and [contextily](https://contextily.readthedocs.io/en/latest/) to provide a robust framework for road network safety analyses. + +You can access the more detailed description of the methodology from the [paper](https://doi.org/10.1177/14759217211045912). + +The library is modular, user-friendly, and well-documented, making it suitable for both beginners and experts in the field of structural safety. + +## Installation + +1. Create a virtual environment and activate it + +```bash +# conda +conda create --name saferoad_env python=3.10 +# activate environment +conda activate saferoad_env +``` + +2. Clone the reposity to your current directory + +```bash +git clone https://github.com/SafeStruct/SafeRoad.git +``` + +3. Install the library from directory using pip + +```bash +pip install -e ./SafeRoad +``` + +4. Testing the installation using tutorial + +```bash +# before testing one extension needs to be installed +python -c "import duckdb; duckdb.install_extension('spatial')" +# change the directory to examples and run the tutorial +cd SafeRoad/examples +python tutorial.py +``` + +If everything works correctly, you should see a folder called **`SafeRoadDB`** inside the example folder. Inside that folder, you will find the generated **PDF** report for the entire dataset provided. + +# Disclaimer + +The Multi-Temporal SAR data provided in the repository is not real; it is synthetic. It is produced to demonstrate how the tool works and what kind of report it generates. From ebcc4f14668e64e471434b3b062b91850f99c7c0 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Mon, 1 Dec 2025 15:13:42 +0100 Subject: [PATCH 27/34] build instructions --- pyproject.toml | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) create mode 100644 pyproject.toml diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..e53c73b --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,16 @@ +# pyproject.toml +[build-system] +requires = ["setuptools>=61.0"] +build-backend = "setuptools.build_meta" + +[project] +name = "saferoad" +version = "0.1.0" +description = "Road network safety analysis using Multi Temporal InSAR and road network data" +authors = [{ name = "Murat Sahin", email = "m.sahin@tudelft.nl" }] +readme = "README.md" +requires-python = ">=3.10" +dependencies = ["matplotlib", "duckdb", "shapely", "contextily", "tqdm"] + +[tool.setuptools.packages.find] +where = ["src"] From a76eb2fa2f030e799151f53c92fc05618e7b8744 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Mon, 1 Dec 2025 15:14:29 +0100 Subject: [PATCH 28/34] sample road data --- examples/fixtures/A10_ams.geojson | 17683 ++++++++++++++++++++++++++++ 1 file changed, 17683 insertions(+) create mode 100644 examples/fixtures/A10_ams.geojson diff --git a/examples/fixtures/A10_ams.geojson b/examples/fixtures/A10_ams.geojson new file mode 100644 index 0000000..cc835af --- /dev/null +++ b/examples/fixtures/A10_ams.geojson @@ -0,0 +1,17683 @@ +{ + "type": "FeatureCollection", + "generator": "overpass-turbo", + "copyright": "The data included in this document is from www.openstreetmap.org. 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"Feature", + "properties": { + "@id": "way/1375575558", + "carriageway_ref": "Re", + "highway": "motorway", + "int_ref": "E 35", + "lanes": "4", + "lit": "yes", + "maxspeed": "100", + "name": "Ringweg-Oost", + "oneway": "yes", + "operator": "Rijkswaterstaat", + "ref": "A10", + "shoulder": "no", + "smoothness": "excellent", + "surface": "asphalt", + "width": "15" + }, + "geometry": { + "type": "LineString", + "coordinates": [ + [ + 4.938273, + 52.33581 + ], + [ + 4.9374902, + 52.3354952 + ] + ] + }, + "id": "way/1375575558" + } + ] +} \ No newline at end of file From 7f83c766704c61137678cd6f9a848022cbff0c49 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Mon, 1 Dec 2025 15:14:59 +0100 Subject: [PATCH 29/34] synthetic psdata --- examples/fixtures/psdata_synthetic.csv | 999 +++++++++++++++++++++++++ 1 file changed, 999 insertions(+) create mode 100644 examples/fixtures/psdata_synthetic.csv diff --git a/examples/fixtures/psdata_synthetic.csv b/examples/fixtures/psdata_synthetic.csv new file 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From 51dfcc080581265be2f60963d4a5aeb3d34773d3 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Mon, 1 Dec 2025 15:15:38 +0100 Subject: [PATCH 30/34] sample tutorial --- examples/tutorial.py | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) create mode 100644 examples/tutorial.py diff --git a/examples/tutorial.py b/examples/tutorial.py new file mode 100644 index 0000000..983da48 --- /dev/null +++ b/examples/tutorial.py @@ -0,0 +1,30 @@ +from saferoad import SafeRoad, PsData, Road + +# define the SafeRoad object + +SR = SafeRoad( + road=Road(filepath="./fixtures/A10_ams.geojson", crs_code="EPSG:4326", name="road"), + ps_data=PsData( + filepath="./fixtures/psdata_synthetisch.csv", + latitude="pnt_lat", + longitude="pnt_lon", + unit="m", + crs_code="EPSG:4326", + ), + computational_crs="EPSG:28992", +) + +# laoding the data into database +SR.load_files() + +# applying preprocess steps +SR.preprocess() + +# generating patches +SR.generate_rectangles(road_width=8, segment_length=500) + +# run the analysis +SR.run_analysis() + +# generate the report +SR.generate_report(output_name="./SafeRoadDB/SafeRoadReport.pdf") From 7b92abe5ae91940ccee6f8987b379a6a14590fb2 Mon Sep 17 00:00:00 2001 From: shnmrt Date: Mon, 1 Dec 2025 15:16:53 +0100 Subject: [PATCH 31/34] the docs --- docs/Makefile | 20 + docs/build/doctrees/api/modules.doctree | Bin 0 -> 2800 bytes .../doctrees/api/saferoad.database.doctree | Bin 0 -> 15214 bytes docs/build/doctrees/api/saferoad.doctree | Bin 0 -> 411933 bytes .../doctrees/api/saferoad.pipeline.doctree | Bin 0 -> 333636 bytes .../doctrees/api/saferoad.plotter.doctree | Bin 0 -> 180620 bytes .../doctrees/api/saferoad.saferoad.doctree | Bin 0 -> 63785 bytes .../build/doctrees/api/saferoad.utils.doctree | Bin 0 -> 19402 bytes docs/build/doctrees/environment.pickle | Bin 0 -> 301376 bytes docs/build/doctrees/index.doctree | Bin 0 -> 9161 bytes docs/build/html/.buildinfo | 4 + docs/build/html/_modules/index.html | 105 + 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When it is not found, a full rebuild will be done. +config: ae51672f3ba48d0bc0d242e97b3d37a6 +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/build/html/_modules/index.html b/docs/build/html/_modules/index.html new file mode 100644 index 0000000..a087049 --- /dev/null +++ b/docs/build/html/_modules/index.html @@ -0,0 +1,105 @@ + + + + + + + + Overview: module code — saferoad 0.1 documentation + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+
    +
    • +
  • Overview: module code
    • +
  • +
    • +
+
+
+
+
+ +

All modules for which code is available

+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/docs/build/html/_modules/saferoad/database.html b/docs/build/html/_modules/saferoad/database.html new file mode 100644 index 0000000..b890359 --- /dev/null +++ b/docs/build/html/_modules/saferoad/database.html @@ -0,0 +1,178 @@ + + + + + + + + saferoad.database — saferoad 0.1 documentation + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +

Source code for saferoad.database

+import os
+import duckdb
+from pathlib import Path
+from datetime import datetime
+
+
+

+[docs]
+class DataBase:
+    """Class for managing a DuckDB database connection.
+
+    This class provides methods to set up a DuckDB database connection, and run SQL queries.
+    """
+
+    def __init__(self):
+        self.connection = None
+        self.db_path = None
+
+

+[docs]
+    def setup(self):
+        """Setup the DuckDB database connection.
+        This method initializes the database path and establishes a connection
+        to the DuckDB database. It also loads the spatial extension if available.
+
+        :raises AssertionError: If the database connection or path is already established.
+        """
+        assert self.connection is None, "Database connection already established."
+        assert self.db_path is None, "Database path already initialized."
+
+        self.db_path = self.init_database_path()
+        self.connection = duckdb.connect(self.db_path)
+        # Load the spatial extension if available
+        self.connection.install_extension("spatial")
+        self.connection.load_extension("spatial")

+
+
+

+[docs]
+    def init_database_path(self):
+        """Initialize the database path.
+
+        This method creates a directory for the database if it does not exist
+        and generates a filename based on the current date and time.
+
+        :return: The path to the DuckDB database file.
+        :rtype: str
+        """
+        assert self.connection is None, "Database connection already established."
+        assert self.db_path is None, "Database path already initialized."
+
+        # Create a folder for the database if it does not exist
+        dbFolder = "SafeRoadDB"
+        os.makedirs(dbFolder, exist_ok=True)
+        filename = os.path.join(
+            dbFolder, f"{datetime.now().strftime('%Y%m%d%H%M')}.duckdb"
+        )
+        return filename

+
+
+

+[docs]
+    def run(self, query: str):
+        """Run a SQL query on the database.
+
+        This method executes the provided SQL query on the connected database.
+
+        :param query: The SQL query to execute.
+        :type query: str
+        :raises AssertionError: If the database connection is not established.
+        """
+        if self.connection is None:
+            raise AssertionError("Database connection is not established.")
+
+        self.connection.execute(query)

+

+
+
+ +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/docs/build/html/_modules/saferoad/pipeline.html b/docs/build/html/_modules/saferoad/pipeline.html new file mode 100644 index 0000000..f7ef736 --- /dev/null +++ b/docs/build/html/_modules/saferoad/pipeline.html @@ -0,0 +1,1761 @@ + + + + + + + + saferoad.pipeline — saferoad 0.1 documentation + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +

Source code for saferoad.pipeline

+from pathlib import Path
+from numpy import where as npwhere
+
+
+

+[docs]
+class Pipeline:
+

+[docs]
+    class Processing:
+        """Processing class for processing road data.
+
+        This class provides methods to load files into a database, dissolve features,
+        split lines into segments, generate patches, and save tables as GeoJSON files.
+        It assumes that the database connection is already established and that the
+        necessary SQL functions for spatial operations are available.
+        The methods in this class generate SQL queries that can be executed against
+        a spatial database, such as DuckDB.
+
+        The class does not handle database connections or query execution directly;
+        it only generates the SQL queries as strings.
+        The methods are static and can be called without instantiating the class.
+        The class is designed to be used in a pipeline for processing road data,
+        where each method can be chained together to perform a series of operations
+        on the road data.
+
+        The methods assume that the input data is already in a suitable format for
+        processing, such as a GIS vector file for loading into a database or a table
+        containing road geometries for dissolving and segmenting.
+        The class is intended to be used in conjunction with a spatial database
+        that supports SQL queries for spatial operations, such as DuckDB with
+        the Spatial extension or PostGIS.
+        The methods are designed to be flexible and can be adapted to different
+        use cases by modifying the parameters passed to them.
+        """
+
+

+[docs]
+        @staticmethod
+        def load_file(file_path: str, table_name: str) -> str:
+            """Load a file into a database table.
+
+            Method validates the provided file path and determines if existing
+            and determines the appropriate loading method based on the file type.
+            It generates an SQL query to create or replace a table in the database
+            with the contents of the file. The method supports CSV files and other
+            GIS vector files, using different loading methods for each type.
+
+            :param file_path: The path to the file to be loaded.
+            :type file_path: str
+            :param table_name: The name of the table to create or replace in the database.
+            :type table_name: str
+            :raises AssertionError: If the file does not exist.
+            :return: SQL query string to create or replace the table with the file data.
+            :rtype: str
+            """
+
+            assert Path(file_path).exists(), f"File {file_path} does not exist."
+
+            loader_method = (
+                "read_csv_auto" if Path(file_path).suffix == ".csv" else "ST_Read"
+            )
+            query = f"""
+            CREATE OR REPLACE TABLE '{table_name}' AS SELECT * FROM {loader_method}('{file_path}');
+            CREATE OR REPLACE SEQUENCE {table_name}_id;
+            ALTER TABLE '{table_name}' ADD COLUMN uid INTEGER DEFAULT nextval('{table_name}_id');
+            """
+            return query

+
+
+

+[docs]
+        @staticmethod
+        def dissolve_features(attribute: str, table_name: str) -> str:
+            """Dissolve features in a table based on a specified attribute.
+
+            This method generates an SQL query to dissolve features in a table
+            based on the provided attribute. It assumes the table is already loaded
+            into the database.
+
+            :param attribute: The attribute to dissolve features by.
+            :type attribute: str
+            :param table_name: The name of the table containing the features, default is "road".
+            :type table_name: str
+
+            :return: SQL query string to dissolve features.
+            :rtype: str
+            """
+
+            group_expression = f"GROUP BY {attribute}, " if attribute else ""
+
+            return f"""
+                CREATE OR REPLACE TABLE dissolved AS
+                SELECT UNNEST(ST_Dump(ST_LineMerge(ST_Union_Agg(geom))), recursive := true) as geom
+                FROM {table_name} {group_expression}
+                """

+
+
+

+[docs]
+        @staticmethod
+        def split_to_segments(
+            segment_length: float, table_name: str = "dissolved"
+        ) -> str:
+            """Split lines into segments of a specified length.
+
+            This method generates an SQL query to split lines in a table into segments
+            of a specified length. It transforms the geometries to a computational
+            coordinate reference system (CRS) and calculates the lengths in meters.
+            The segments are created by generating windows of fixed length along the lines.
+            The resulting segments are stored in a new table named "segments".
+            The method assumes that the input table is already dissolved and contains
+            geometries in a suitable format.
+
+            The segments are created by cutting the lines into fixed-length segments
+            and filtering out any empty geometries.
+            This method is useful for preparing road segments for further analysis or processing.
+            It is particularly useful in road network analysis, where roads need to be
+            divided into manageable segments for tasks such as traffic analysis, road condition
+            assessment, or infrastructure planning.
+
+            :param segment_length: The length of each segment in meters.
+            :type segment_length: float
+            :param table_name: The name of the table containing the lines, default is "dissolved".
+            :type table_name: str
+            :return: SQL query string to create or replace the segments table.
+            :rtype: str
+            """
+            computational_crs = None
+            query = f"""
+            CREATE OR REPLACE TABLE segments AS
+            -- transform to local projection system
+            -- and calculate length in meters
+            WITH measured AS (
+            SELECT  
+                -- ST_Transform(geom, 'EPSG:4326', '{computational_crs}', always_xy := true) AS geom_m,
+                -- ST_Length(ST_Transform(geom, 'EPSG:4326', '{computational_crs}', always_xy := true)) AS len_m
+                geom,
+                ST_Length(geom) AS len_m
+            FROM {table_name}
+            ),
+            -- generate windows of fixed length
+            windows AS (
+            SELECT
+                
+                m.geom,
+                m.len_m,
+                -- start distance (meters)
+                (i * CAST({segment_length} AS DOUBLE)) AS s,
+                -- end distance (meters), capped at total length
+                LEAST((i + 1) * CAST({segment_length} AS DOUBLE), m.len_m) AS e
+            FROM measured AS m
+            JOIN LATERAL generate_series(
+                0,
+                CAST(CEIL(m.len_m / CAST({segment_length} AS DOUBLE)) AS BIGINT) - 1
+            ) AS g(i) ON TRUE
+            WHERE m.len_m > 0
+            ),
+            -- cut the lines into segments
+            cut AS (
+            SELECT
+                ST_LineSubstring(
+                    geom,
+                    s / NULLIF(len_m, 0),
+                    e / NULLIF(len_m, 0)
+                ) AS geom
+            FROM windows
+            WHERE len_m > 0
+            )
+            -- filter out empty geometries
+            SELECT geom
+            FROM cut
+            WHERE NOT ST_IsEmpty(geom);
+            """
+            return query

+
+
+

+[docs]
+        @staticmethod
+        def generate_patches(
+            width: float, length: float, table_name: str = "segments"
+        ) -> str:
+            """Generate patches from segments.
+
+            This method generates patches from segments by creating a rectangular
+            envelope around each segment, rotated to align with the segment's direction.
+            The patches are created by translating and rotating the envelope to the
+            start point of the segment, ensuring that each patch is oriented correctly
+            along the segment's direction.
+
+            :param width: The width of the patches in meters.
+            :type width: float
+            :param length: The length of the patches in meters.
+            :type length: float
+            :param table_name: The name of the table containing the segments, default is "segments".
+            :type table_name: str
+            :return: SQL query string to create or replace the patches table.
+            :rtype: str
+            """
+            assert width > 0, "Width must be greater than 0."
+            assert length > 0, "Length must be greater than 0."
+            query = f"""
+            CREATE OR REPLACE TABLE patches AS
+            SELECT 
+                ST_Translate(
+                ST_RotateZ(
+                    ST_MakeEnvelope(-{width} / 2, 0, {width} / 2, {length}),
+                    -ST_Azimuth(ST_StartPoint(geom), ST_EndPoint(geom))
+                ),
+                ST_X(ST_StartPoint(geom)), ST_Y(ST_StartPoint(geom))
+                ) AS geom
+            FROM {table_name};
+            CREATE OR REPLACE SEQUENCE patches_id;
+            ALTER TABLE patches ADD COLUMN uid INTEGER DEFAULT nextval('patches_id');
+            """
+            return query

+
+
+        # @staticmethod
+        # def save_table_as_geojson(table_name: str, output_path: str) -> str:
+        #     """Save a table as a GeoJSON file.
+        #     This method generates an SQL query to save the contents of a table
+        #     as a GeoJSON file. It assumes that the table contains geometries in a
+        #     format compatible with GeoJSON and that the output path is a valid file path.
+
+        #     :param table_name: The name of the table to save as GeoJSON.
+        #     :type table_name: str
+        #     :param output_path: The path where the GeoJSON file will be saved.
+        #     :type output_path: str
+        #     :raises AssertionError: If the output path does not exist.
+        #     :return: SQL query string to save the table as a GeoJSON file.
+        #     :rtype: str
+        #     """
+        #     assert Path(
+        #         output_path
+        #     ).parent.exists(), f"Directory {Path(output_path).parent} does not exist."
+
+        #     return f"""
+        #     COPY (SELECT * FROM {table_name}) TO '{output_path}' (FORMAT GDAL, DRIVER 'GeoJSON', OVERWRITE TRUE);
+        #     """
+
+

+[docs]
+        @staticmethod
+        def spatial_tranformation(
+            source_epsg: str, target_epsg: str, table_name: str
+        ) -> str:
+            """Transform geometries from one EPSG code to another.
+
+            This method generates an SQL query to transform geometries in a table
+            from one EPSG code to another. It assumes that the input table contains
+            geometries in the source EPSG code and that the target EPSG code is valid.
+
+            :param source_epsg: The source EPSG code of the geometries.
+            :type source_epsg: str
+            :param target_epsg: The target EPSG code to transform the geometries to.
+            :type target_epsg: str
+            :param table_name: The name of the table containing the geometries, default is "patches".
+            :type table_name: str
+
+            :return: SQL query string to transform the geometries.
+            :rtype: str
+            """
+
+            return f"""
+            UPDATE '{table_name}' SET geom = ST_Transform(geom, '{source_epsg}', '{target_epsg}', always_xy := true);
+            """

+
+
+

+[docs]
+        @staticmethod
+        def build_geometry(latitude: str, longitude: str, table_name: str) -> str:
+            """Build a geometry from latitude and longitude coordinates.
+
+            This method generates an SQL query to build a geometry column in a table
+            from latitude and longitude coordinates. It assumes that the input table
+            contains columns for latitude and longitude.
+
+            :param latitude: The name of the column containing latitude values.
+            :type latitude: str
+            :param longitude: The name of the column containing longitude values.
+            :type longitude: str
+            :param table_name: The name of the table to add the geometry column to.
+            :type table_name: str
+            :return: SQL query string to build the geometry column.
+            :rtype: str
+            """
+            return f"""
+            ALTER TABLE {table_name} ADD COLUMN geom GEOMETRY;
+            UPDATE {table_name} SET geom = ST_Point({longitude}, {latitude});    
+            """

+
+
+

+[docs]
+        @staticmethod
+        def relate_point_patches(point_name: str, patch_name: str = "patches") -> str:
+            """Relate points to patches by assigning patch IDs to points.
+
+            This method generates an SQL query to relate points in one table to patches
+            in another table by assigning patch IDs to points based on their spatial
+            relationship. It assumes that the point table contains a geometry column
+            and that the patch table contains a geometry column and a unique identifier
+            for each patch.
+
+            :param point_name: The name of the table containing the points.
+            :type point_name: str
+            :param patch_name: The name of the table containing the patches, default is "patches".
+            :type patch_name: str
+            :return: SQL query string to relate points to patches.
+            :rtype: str
+            """
+            return f"""
+            ALTER TABLE {point_name} ADD COLUMN patch_id INTEGER;
+            UPDATE {point_name}
+            SET patch_id = subquery.uid
+            FROM (
+                SELECT first.uid AS point_uid, second.uid AS uid
+                FROM {point_name} AS first
+                JOIN {patch_name} AS second
+                ON ST_Within(first.geom, second.geom)
+            ) AS subquery
+            WHERE {point_name}.uid = subquery.point_uid;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_point_density(point_name: str, patch_name: str = "patches") -> str:
+            """Calculate point density per patch.
+
+            This method generates an SQL query to calculate the point density per patch
+            by counting the number of points within each patch and dividing by the area
+            of the patch in square kilometers. It assumes that the point table contains
+            a geometry column and that the patch table contains a geometry column and
+            a unique identifier for each patch.
+
+            :param point_name: The name of the table containing the points.
+            :type point_name: str
+            :param patch_name: The name of the table containing the patches, default is "patches".
+            :type patch_name: str
+            :return: SQL query string to calculate point density per patch.
+            :rtype: str
+            """
+            return f"""
+            -- calculate the point count and density per patch
+            ALTER TABLE {patch_name} ADD COLUMN point_count INTEGER;
+            ALTER TABLE {patch_name} ADD COLUMN ps_density FLOAT DEFAULT 0.0;
+
+            UPDATE {patch_name}
+            SET point_count = subquery.point_count,
+                ps_density = subquery.point_count / (ST_Area(subquery.geom) / 1_000_000.0)
+            FROM (
+                SELECT second.uid AS patch_id, COUNT(first.uid) AS point_count, second.geom
+                FROM {point_name} AS first
+                JOIN {patch_name} AS second
+                ON ST_Within(first.geom, second.geom)
+                GROUP BY second.uid, second.geom
+            ) AS subquery
+            WHERE {patch_name}.uid = subquery.patch_id;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_column_names(table_name: str) -> str:
+            """Get column names from a table.
+
+            This method generates an SQL query to retrieve the column names from a specified table.
+
+            :param table_name: The name of the table to retrieve column names from.
+            :type table_name: str
+            :return: SQL query string to get the column names.
+            :rtype: str
+            """
+            return f"""
+            SELECT column_name FROM (DESCRIBE {table_name});
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_cum_disp(dates: list[str], table_name: str = "pspoint") -> str:
+            """Calculate cumulative displacement.
+
+            This method generates an SQL query to calculate the cumulative displacement
+            for each point in a table based on the provided date fields. It assumes that
+            the input table contains columns for displacement values at different dates.
+
+            :param dates: List of column names representing dates.
+            :type dates: list[str]
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to calculate cumulative displacement.
+            :rtype: str
+            """
+            return f"""
+            ALTER TABLE {table_name} ADD COLUMN displacement FLOAT;
+            UPDATE {table_name}
+            SET displacement = first.disp
+            FROM (
+                SELECT uid, {dates[-1]} - {dates[0]} as disp 
+                FROM {table_name}
+            ) as first
+            JOIN {table_name} as second
+            ON first.uid = second.uid
+            WHERE {table_name}.uid = first.uid;            
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_avg_cum_disp() -> str:
+            """Calculate average cumulative displacement per patch.
+
+            This method generates an SQL query to calculate the average cumulative
+            displacement for each patch by averaging the displacement values of points
+            within each patch. It assumes that the point table contains a geometry column,
+            a displacement column, and that the patch table contains a geometry column
+            and a unique identifier for each patch.
+
+            :return: SQL query string to calculate average cumulative displacement per patch.
+            :rtype: str
+            """
+            return f"""
+            ALTER TABLE patches ADD COLUMN avg_cum_disp DOUBLE DEFAULT 0.0;
+            UPDATE patches
+            SET avg_cum_disp = (
+                SELECT AVG(displacement)
+                FROM pspoint
+                WHERE patch_id = patches.uid
+            );
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_avg_velocity(
+            time_vector: list[float],
+            field_names: list[str],
+            table_name: str = "pspoint",
+        ) -> str:
+            """Calculate average velocity using linear regression.
+
+            This method generates an SQL query to calculate the average velocity for
+            each point in a table using linear regression on displacement values over time.
+            It assumes that the input table contains columns for displacement values at different dates and that the time vector is provided in days.
+
+            :param time_vector: List of time differences in days from the first date.
+            :type time_vector: list[float]
+            :param field_names: List of column names representing displacement values at different dates.
+            :type field_names: list[str]
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to calculate average velocity.
+            :rtype: str
+            """
+            x_vals_sql = "[" + ", ".join(map(str, time_vector)) + "]::DOUBLE[]"
+
+            y_fields_sql = (
+                "[" + ", ".join(f"CAST({c} AS DOUBLE)" for c in field_names) + "]"
+            )
+
+            return f"""
+            ALTER TABLE {table_name} ADD COLUMN avg_velocity_gcp DOUBLE;
+            WITH pairs AS (
+                SELECT 
+                    uid,
+                    list_element({y_fields_sql}, idx) as y,
+                    list_element({x_vals_sql}, idx) as x,
+                    patch_id
+                FROM {table_name}
+                CROSS JOIN UNNEST(range(1, {len(field_names)} + 1)) AS u(idx)
+                WHERE patch_id IS NOT NULL
+            ),
+            slopes AS (
+                SELECT 
+                    uid,
+                    regr_slope(y, x) AS slope
+                FROM pairs
+                WHERE y IS NOT NULL AND x IS NOT NULL
+                GROUP BY uid
+            )
+            UPDATE {table_name} AS t
+            SET avg_velocity_gcp = s.slope * 365.25 -- convert from per day to per year
+            FROM slopes AS s
+            WHERE t.uid = s.uid;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_avg_disp_ts_gcp(date_fields: list[str]):
+            """Calculate average displacement time series for patches (Average Local Displacement (ALD)).
+
+            This method generates an SQL query to calculate the average displacement
+            time series for each patch by averaging the displacement values of points within each patch
+            for the specified date fields. It assumes that the point table contains a geometry column,
+            displacement columns for each date field, and that the patch table contains a geometry column
+            and a unique identifier for each patch.
+
+            :param date_fields: List of column names representing displacement values at different dates.
+            :type date_fields: list[str]
+            :return: SQL query string to calculate average displacement time series per patch.
+            :rtype: str
+            """
+            expression = ", ".join([f"AVG({i})" for i in (date_fields)])
+
+            return f"""
+            ALTER TABLE patches ADD COLUMN avg_disp_ts_gcp DOUBLE[];
+            UPDATE patches
+            SET avg_disp_ts_gcp = subquery.disp_ts
+            FROM (
+                SELECT 
+                    patch_id,
+                    ARRAY[{expression}] AS disp_ts
+                FROM pspoint
+                WHERE patch_id IS NOT NULL
+                GROUP BY patch_id
+            ) AS subquery
+            WHERE patches.uid = subquery.patch_id;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_std_disp_ts_gcp(date_fields: list[str]):
+            """Calculate standard deviation of displacement time series for patches based on global control point (GCP).
+
+            This method generates an SQL query to calculate the standard deviation
+            of displacement time series for each patch by computing the standard deviation of displacement values of points within each patch for the specified date fields.
+
+            :param date_fields: List of column names representing displacement values at different dates.
+            :type date_fields: list[str]
+            :return: SQL query string to calculate standard deviation of displacement time series per patch.
+            :rtype: str
+            """
+
+            expression = ", ".join([f"stddev_pop({i})" for i in (date_fields)])
+
+            return f"""
+            ALTER TABLE patches ADD COLUMN std_disp_ts_gcp DOUBLE[];
+            UPDATE patches
+            SET std_disp_ts_gcp = subquery.disp_ts
+            FROM (
+                SELECT 
+                    patch_id,
+                    ARRAY[{expression}] AS disp_ts
+                FROM pspoint
+                WHERE patch_id IS NOT NULL
+                GROUP BY patch_id
+            ) AS subquery
+            WHERE patches.uid = subquery.patch_id;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def select_lcps(table_name: str = "pspoint") -> str:
+            """Select linear control points (LCPs) for patches.
+
+            This method generates an SQL query to select local control points (LCPs) for each patch by identifying the point with the minimum absolute average velocity within each patch.
+
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to select LCPs for patches.
+            :rtype: str
+            """
+
+            return f"""
+            ALTER TABLE patches ADD COLUMN lcp_uid INTEGER;
+            WITH min_velocities AS (
+                SELECT 
+                    patch_id,
+                    MIN(ABS(avg_velocity_gcp)) AS min_velocity
+                FROM {table_name}
+                WHERE patch_id IS NOT NULL
+                GROUP BY patch_id
+            )
+            UPDATE patches
+            SET lcp_uid = subquery.uid
+            FROM (
+                SELECT
+                    p.patch_id,
+                    p.uid
+                FROM {table_name} AS p
+                JOIN min_velocities AS mv 
+                ON p.patch_id = mv.patch_id 
+                AND ABS(p.avg_velocity_gcp) = mv.min_velocity
+            ) AS subquery
+            WHERE patches.uid = subquery.patch_id;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_lcp_velocity() -> str:
+            """Calculate LCP velocity for patches.
+
+            This method generates an SQL query to calculate the velocity of the linear control point (LCP)
+            for each patch by retrieving the average velocity of the point identified as the LCP.
+
+            :return: SQL query string to calculate LCP velocity for patches.
+            :rtype: str
+            """
+            return f""" 
+            ALTER TABLE patches ADD COLUMN lcp_velocity FLOAT;
+            WITH subquery AS (
+                SELECT patch_id, avg_velocity_gcp
+                FROM pspoint
+                WHERE uid IN (
+                    SELECT lcp_uid 
+                    FROM patches 
+                    WHERE lcp_uid IS NOT NULL
+                )
+            )
+            UPDATE patches
+            SET lcp_velocity = subquery.avg_velocity_gcp
+            FROM subquery
+            WHERE patches.uid = subquery.patch_id;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_avg_velocity_gcp(table_name: str = "pspoint") -> str:
+            """Calculate average velocity based on ground control points (GCPs) for patches.
+
+            This method generates an SQL query to calculate the average velocity for each patch based on the average velocities of points within each patch.
+
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to calculate average velocity based on GCPs for patches.
+            :rtype: str
+            """
+
+            return f""" 
+            ALTER TABLE patches ADD COLUMN avg_gcp_velocity FLOAT;
+            UPDATE patches
+            SET avg_gcp_velocity = subquery.avg_vel 
+            FROM (
+                SELECT
+                    patch_id,
+                    AVG(avg_velocity_gcp) AS avg_vel
+                FROM {table_name}
+                WHERE patch_id IS NOT NULL
+                GROUP BY patch_id
+            ) AS subquery
+            WHERE patches.uid = subquery.patch_id 
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_avg_std_disp_ts_lcp(
+            date_fields: list[str], table_name: str = "pspoint"
+        ) -> str:
+            """Calculate average and standard deviation of displacement time series based on LCPs.
+
+            This method generates an SQL query to calculate the average and standard
+            deviation of displacement time series for each patch based on the displacement
+            values of points within each patch relative to the local control point (LCP).
+            It assumes that the point table contains columns for displacement values at
+            different dates and that the patch table contains a geometry column and a unique
+            identifier for each patch.
+
+            :param date_fields: List of column names representing displacement values at different dates.
+            :type date_fields: list[str]
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to calculate average and standard deviation of displacement time series based on LCPs.
+            :rtype: str
+            """
+            expression_to_select_date_fields = (
+                "[" + ", ".join([i for i in date_fields]) + "]"
+            )
+            indices = range(1, len(date_fields) + 1)
+            expression_to_explode = ",".join(
+                f"list_extract(displacement, {i}) as {date_fields[i-1]}"
+                for i in indices
+            )
+            expresion_for_avg_per_date = ", ".join([f"AVG({i})" for i in date_fields])
+            expresion_for_std_per_date = ", ".join(
+                [f"stddev_pop({i})" for i in date_fields]
+            )
+            return f"""
+            ALTER TABLE patches ADD COLUMN avg_disp_ts_lcp DOUBLE[];
+            ALTER TABLE patches ADD COLUMN std_disp_ts_lcp DOUBLE[];
+            WITH y as (
+                SELECT patch_id, {expression_to_select_date_fields} as y
+                FROM {table_name}
+                WHERE patch_id IS NOT NULL
+            ),
+            x as (
+                SELECT patch_id, {expression_to_select_date_fields} as x
+                FROM {table_name}
+                WHERE uid IN (SELECT lcp_uid FROM patches WHERE lcp_uid IS NOT NULL)
+            ),
+            process as (
+                SELECT
+                    x.patch_id,
+                    list_transform(list_zip(y.y, x.x), arr -> arr[1] - arr[2]) as displacement
+                FROM x
+                JOIN y
+                ON x.patch_id = y.patch_id
+            ),
+            exploded AS (
+                SELECT
+                    patch_id,
+                    {expression_to_explode}
+                FROM process
+            ),
+            final AS (
+                SELECT 
+                    patch_id,
+                    ARRAY[{expresion_for_avg_per_date}] AS avg_disp_ts_lcp,
+                    ARRAY[{expresion_for_std_per_date}] AS std_disp_ts_lcp
+                FROM exploded
+                GROUP BY patch_id
+            )
+            UPDATE patches
+            SET avg_disp_ts_lcp = final.avg_disp_ts_lcp,
+                std_disp_ts_lcp = final.std_disp_ts_lcp
+            FROM final
+            WHERE patches.uid = final.patch_id;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_med_std_disp_ts_lcp(
+            date_fields: list[str], table_name: str = "pspoint"
+        ) -> str:
+            """Calculate average and standard deviation of displacement time series based on LCPs.
+
+            This method generates an SQL query to calculate the average and standard
+            deviation of displacement time series for each patch based on the displacement
+            values of points within each patch relative to the local control point (LCP).
+            It assumes that the point table contains columns for displacement values at
+            different dates and that the patch table contains a geometry column and a unique
+            identifier for each patch.
+
+            :param date_fields: List of column names representing displacement values at different dates.
+            :type date_fields: list[str]
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to calculate average and standard deviation of displacement time series based on LCPs.
+            :rtype: str
+            """
+            expression_to_select_date_fields = (
+                "[" + ", ".join([i for i in date_fields]) + "]"
+            )
+            indices = range(1, len(date_fields) + 1)
+            expression_to_explode = ",".join(
+                f"list_extract(displacement, {i}) as {date_fields[i-1]}"
+                for i in indices
+            )
+            expresion_for_avg_per_date = ", ".join([f"AVG({i})" for i in date_fields])
+            expresion_for_std_per_date = ", ".join(
+                [f"stddev_pop({i})" for i in date_fields]
+            )
+            return f"""
+            ALTER TABLE patches ADD COLUMN med_disp_ts_lcp DOUBLE[];
+            ALTER TABLE patches ADD COLUMN med_std_disp_ts_lcp DOUBLE[];
+            WITH y as (
+                SELECT patch_id, {expression_to_select_date_fields} as y
+                FROM {table_name}
+                WHERE patch_id IS NOT NULL
+            ),
+            x as (
+                SELECT patch_id, {expression_to_select_date_fields} as x
+                FROM {table_name}
+                WHERE uid IN (SELECT lcp_uid FROM patches WHERE lcp_uid IS NOT NULL)
+            ),
+            process as (
+                SELECT
+                    x.patch_id,
+                    list_transform(list_zip(y.y, x.x), arr -> arr[1] - arr[2]) as displacement
+                FROM x
+                JOIN y
+                ON x.patch_id = y.patch_id
+            ),
+            exploded AS (
+                SELECT
+                    patch_id,
+                    {expression_to_explode}
+                FROM process
+            ),
+            final AS (
+                SELECT 
+                    patch_id,
+                    ARRAY[{expresion_for_avg_per_date}] AS med_disp_ts_lcp,
+                    ARRAY[{expresion_for_std_per_date}] AS med_std_disp_ts_lcp
+                FROM exploded
+                GROUP BY patch_id
+            )
+            UPDATE patches
+            SET med_disp_ts_lcp = final.med_disp_ts_lcp,
+                med_std_disp_ts_lcp = final.med_std_disp_ts_lcp
+            FROM final
+            WHERE patches.uid = final.patch_id;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_avg_velocity_lcp(table_name: str = "pspoint") -> str:
+            """Calculate average velocity based on local control points (LCPs) for points.
+
+            This method generates an SQL query to calculate the average velocity for each point
+            based on the average velocity of the local control point (LCP) associated with the patch
+            to which the point belongs. It assumes that the point table contains a geometry column,
+            an average velocity column based on ground control points (GCPs), and that the patch table
+            contains a geometry column, a unique identifier for each patch, and the average velocity
+            of the LCP.
+
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to calculate average velocity based on LCPs for points.
+            :rtype: str
+            """
+            return f"""
+            ALTER TABLE {table_name} ADD COLUMN avg_velocity_lcp DOUBLE;
+            WITH y AS (
+                SELECT uid, patch_id, avg_velocity_gcp
+                FROM {table_name}
+                WHERE patch_id IS NOT NULL
+            ),
+            x AS (
+                SELECT uid, lcp_velocity, lcp_uid
+                FROM patches
+                WHERE lcp_uid IS NOT NULL
+            )
+            UPDATE {table_name}
+            SET avg_velocity_lcp = subquery.avg_velocity_lcp
+            FROM (
+                SELECT 
+                    y.avg_velocity_gcp - x.lcp_velocity AS avg_velocity_lcp, 
+                    y.uid as uid
+                FROM x
+                JOIN y ON x.uid = y.patch_id
+            ) AS subquery
+            WHERE {table_name}.uid = subquery.uid;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_avg_lcp_velocity(table_name: str = "pspoint") -> str:
+            """Calculate average LCP velocity per patch.
+
+            This method generates an SQL query to calculate the average velocity of
+            local control points (LCPs) for each patch by averaging the average velocities
+            of points within each patch based on their LCP velocities.
+
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to calculate average LCP velocity per patch.
+            :rtype: str
+            """
+            return f"""
+            ALTER TABLE patches ADD COLUMN avg_lcp_velocity FLOAT;
+            UPDATE patches
+            SET avg_lcp_velocity = subquery.avg_vel
+            FROM (
+                SELECT
+                    patch_id,
+                    AVG(avg_velocity_lcp) as avg_vel
+                FROM {table_name}
+                WHERE patch_id IS NOT NULL
+                GROUP BY patch_id
+            ) AS subquery
+            WHERE patches.uid = subquery.patch_id
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_outliers(scaling_factor: float, table_name: str = "pspoint") -> str:
+            """Identify outlier points based on absolute average velocity.
+
+            This method generates an SQL query to identify outlier points based on their
+            average velocity relative to local control points (LCPs). Points with an absolute
+            average LCP velocity exceeding a specified threshold (5 mm/year) are
+            marked as outliers by assigning their unique identifier to a new column in the
+            patches table. The unit parameter allows for specifying the measurement unit
+            (meters, centimeters, or millimeters) to appropriately scale the threshold.
+
+            :param scaling_factor: The factor to scale the velocity threshold based on the unit.
+            :type scaling_factor: float
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to identify outlier points.
+            :rtype: str
+            """
+
+            return f""" 
+            CREATE OR REPLACE TABLE outliers AS
+                SELECT patch_id, uid
+                FROM {table_name}
+                WHERE ABS(avg_velocity_lcp) > 5 / {scaling_factor}
+                AND patch_id IS NOT NULL;
+            ALTER TABLE outliers ADD COLUMN criteria VARCHAR;
+            UPDATE outliers SET criteria = 'threshold';
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_outliers_avg_lcd(
+            table_name: str = "pspoint", date_vector=list[int], date_names=list[str]
+        ) -> str:
+            """Calculate outliers based on average local control displacement (LCD).
+
+            This method generates an SQL query to identify outlier points based on their
+            displacement time series relative to the average local control displacement (LCD)
+            of their associated patches. Points with displacement values exceeding the average
+            LCD by more than standard deviations at any time point are marked as outliers
+            by inserting their unique identifier and patch ID into a new outliers table.
+
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :param date_vector: List of time differences in days from the first date.
+            :type date_vector: list[int]
+            :param date_names: List of column names representing displacement values at different dates.
+            :type date_names: list[str]
+            :return: SQL query string to identify outlier points based on average LCD.
+            :rtype: str
+            """
+
+            if date_vector.max() < 730:
+                return ""
+
+            first_index = npwhere(date_vector >= date_vector - 730)[0][0]
+            column_select = ", ".join(date_names[first_index:])
+
+            return f"""
+            with underthreshold as (
+                SELECT 
+                    uid, 
+                    patch_id,
+                    ARRAY[{column_select}] as disp_ts 
+                FROM {table_name}
+                WHERE uid NOT IN (SELECT uid FROM outliers)
+                AND patch_id IS NOT NULL
+            ),
+            sel_ts as (
+                SELECT 
+                    uid, 
+                    avg_disp_ts_lcp[{first_index}:] as avg,
+                    std_disp_ts_lcp[{first_index}:] as std,
+                FROM patches
+                WHERE patches.uid IN (SELECT patch_id FROM underthreshold)  
+            ),
+            joined as (
+                SELECT * from underthreshold
+                JOIN sel_ts on sel_ts.uid = underthreshold.patch_id
+            ),
+            ald_points as (
+                SELECT
+                    uid,
+                    patch_id,
+                    list_min(
+                        list_apply(
+                            array_zip(disp_ts, avg, std),
+                            x -> abs(x[1]-x[2]) > x[3]
+                        )
+                    ) as all_greater
+                FROM joined
+                WHERE all_greater = true
+            )
+            INSERT INTO outliers (uid, patch_id, criteria)
+            SELECT uid, patch_id, 'ald' FROM ald_points
+            """

+
+
+

+[docs]
+        @staticmethod
+        def calc_outliers_med_lcd(
+            table_name: str = "pspoint", date_vector=list[int], date_names=list[str]
+        ) -> str:
+            """Calculate outliers based on median local control displacement (LCD).
+
+            This method generates an SQL query to identify outlier points based on their
+            displacement time series relative to the median local control displacement (LCD)
+            of their associated patches. Points with displacement values exceeding the median
+            LCD by more than standard deviations at any time point are marked as outliers
+            by inserting their unique identifier and patch ID into a new outliers table.
+
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :param date_vector: List of time differences in days from the first date.
+            :type date_vector: list[int]
+            :param date_names: List of column names representing displacement values at different dates.
+            :type date_names: list[str]
+            :return: SQL query string to identify outlier points based on median LCD.
+            :rtype: str
+            """
+
+            if date_vector.max() < 730:
+                return ""
+
+            first_index = npwhere(date_vector >= date_vector - 730)[0][0]
+            column_select = ", ".join(date_names[first_index:])
+
+            return f"""
+            with underthreshold as (
+                SELECT 
+                    uid, 
+                    patch_id,
+                    ARRAY[{column_select}] as disp_ts 
+                FROM {table_name}
+                WHERE uid NOT IN (SELECT uid FROM outliers)
+                AND patch_id IS NOT NULL
+            ),
+            sel_ts as (
+                SELECT 
+                    uid, 
+                    med_disp_ts_lcp[{first_index}:] as med,
+                    med_std_disp_ts_lcp[{first_index}:] as std,
+                FROM patches
+                WHERE patches.uid IN (SELECT uid FROM underthreshold)  
+            ),
+            joined as (
+                SELECT * from underthreshold
+                JOIN sel_ts on sel_ts.uid = underthreshold.patch_id
+            ),
+            med_points as (
+                SELECT
+                    uid,
+                    patch_id,
+                    list_min(
+                        list_apply(
+                            array_zip(disp_ts, med, std),
+                            x -> abs(x[1]-x[2]) > x[3]
+                        )
+                    ) as all_greater
+                FROM joined
+                WHERE all_greater = true
+            )
+            INSERT INTO outliers (uid, patch_id, criteria)
+            SELECT uid, patch_id, 'med' FROM med_points
+            """

+
+
+

+[docs]
+        @staticmethod
+        def lcp_ts_patch(date_fields: list[str], table_name: str = "pspoint"):
+            """Get Local Control Point's displacement time series for patches.
+
+            This method generates an SQL query to retrieve the displacement time series
+            of the local control point (LCP) for each patch based on specified date fields.
+
+            :param date_fields: List of column names representing displacement values at different dates.
+            :type date_fields: list[str]
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to get LCP displacement time series for patches.
+            :rtype: str
+
+            """
+            date_fields_str = "[" + ", ".join(date_fields) + "]"
+            return f"""
+            ALTER TABLE patches ADD COLUMN lcp_disp_ts DOUBLE[];
+            UPDATE patches
+            SET lcp_disp_ts = subquery.disp_ts
+            FROM (
+                SELECT 
+                    p.patch_id,
+                    {date_fields_str} AS disp_ts
+                FROM {table_name} AS p
+                JOIN patches AS pa
+                ON p.uid = pa.lcp_uid
+                WHERE p.patch_id IS NOT NULL
+                -- GROUP BY p.patch_id
+            ) AS subquery
+            WHERE patches.uid = subquery.patch_id;
+            """

+
+
+

+[docs]
+        def outlier_ts_patch(date_fields: list[str], table_name: str = "pspoint"):
+            """Get outlier displacement time series for patches.
+
+            This method generates an SQL query to retrieve the displacement time series
+            of outlier points based on specified date fields.
+
+            :param date_fields: List of column names representing displacement values at different dates.
+            :type date_fields: list[str]
+            :param table_name: The name of the table containing the points, default is "pspoint".
+            :type table_name: str
+            :return: SQL query string to get outlier displacement time series for patches.
+            :rtype: str
+            """
+
+            date_fields_str = "[" + ", ".join(date_fields) + "]"
+            return f"""
+            ALTER TABLE outliers ADD COLUMN disp_ts DOUBLE[];
+            UPDATE outliers
+            SET disp_ts = subquery.disp_ts
+            FROM (
+                SELECT 
+                    p.uid,
+                    {date_fields_str} AS disp_ts
+                FROM {table_name} AS p
+                WHERE p.uid IN (SELECT uid FROM outliers)
+            ) AS subquery
+            WHERE outliers.uid = subquery.uid;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def outlier_rel_ts_patch():
+            """Calculate outlier displacement time series relative to LCP for patches.
+
+            This method generates an SQL query to calculate the displacement time series
+            of outlier points relative to the displacement time series of their associated
+            local control points (LCPs). It assumes that the outliers table contains a
+            geometry column, a displacement time series column, and a patch ID column,
+            and that the patches table contains a geometry column, a unique identifier
+            for each patch, and a displacement time series column for the LCP.
+
+            :return: SQL query string to calculate outlier displacement time series relative to LCP for patches.
+            :rtype: str
+            """
+            return f"""
+            ALTER TABLE outliers ADD COLUMN rel_ts DOUBLE[];
+            with p_lcp as (
+                SELECT uid, lcp_disp_ts
+                FROM patches
+                WHERE lcp_uid IS NOT NULL
+            ),
+            p_out as (
+                SELECT o.uid, o.patch_id, o.disp_ts, p_lcp.lcp_disp_ts
+                FROM outliers AS o
+                JOIN p_lcp
+                ON o.patch_id = p_lcp.uid
+            )
+            UPDATE outliers
+            SET rel_ts = list_transform(
+                p_out.disp_ts, 
+                (value, idx) -> value - list_element(p_out.lcp_disp_ts, idx)
+            )
+            FROM p_out
+            WHERE outliers.uid = p_out.uid
+            """

+

+
+
+

+[docs]
+    class Visualisation:
+        """SQL queries for visualisation of results.
+
+        2D visualisation is done in Web Mercator (EPSG:3857).
+        """
+
+        projection = "EPSG:3857"
+
+

+[docs]
+        @staticmethod
+        def get_table_bbox(table_name: str, source_crs: str) -> str:
+            """Get the bounding box of a table in a specified projection.
+
+            This method generates an SQL query to retrieve the bounding box of geometries
+            from a specified table, transforming the geometries from a source CRS to
+            a target projection defined in the Visualisation class.
+
+            :param table_name: The name of the table to get the bounding box from.
+            :type table_name: str
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :return: SQL query string to get the bounding box of the table.
+            :rtype: str"""
+            return f"""
+            with transformed as (
+                SELECT 
+                ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true) as geom 
+                FROM {table_name}
+            )
+            SELECT
+                MIN(ST_XMIN(geom)) AS min_x,
+                MIN(ST_YMIN(geom)) AS min_y,
+                MAX(ST_XMAX(geom)) AS max_x,
+                MAX(ST_YMAX(geom)) AS max_y
+            FROM transformed;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_ps_density(source_crs: str) -> str:
+            """Get point density per patch.
+
+            This method generates an SQL query to retrieve the point density for each patch,
+            transforming the geometries from a source CRS to a target projection defined
+            in the Visualisation class.
+
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :return: SQL query string to get the point density per patch.
+            :rtype: str
+            """
+            return f"""
+            SELECT
+                ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom,
+                ps_density
+            FROM patches
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_outliers_map(source_crs: str, scaling_factor: float) -> str:
+            """Get outlier points based on absolute average LCP velocity.
+
+            This method generates an SQL query to retrieve outlier points based on their
+            average velocity relative to local control points (LCPs). Points with an absolute
+            average LCP velocity exceeding a specified threshold (5 mm/year) are
+            marked as outliers by assigning their unique identifier to a new column in the
+            patches table. The unit parameter allows for specifying the measurement unit
+            (meters, centimeters, or millimeters) to appropriately scale the threshold.
+
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :param scaling_factor: The factor to scale the velocity threshold based on the unit.
+            :type scaling_factor: float
+            :return: SQL query string to identify outlier points.
+            :rtype: str
+            """
+            return f"""
+            SELECT
+                ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom,
+                ABS(avg_velocity_lcp) * {scaling_factor} AS velocity,
+            FROM pspoint
+            WHERE uid IN (SELECT uid FROM outliers)
+            ORDER BY velocity ASC;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_cum_disp_map(source_crs: str, scaling_factor: float) -> str:
+            """Get cumulative displacement per patch.
+
+            This method generates an SQL query to retrieve the cumulative displacement
+            for each patch, transforming the geometries from a source CRS to a target
+            projection defined in the Visualisation class.
+
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :param unit: The measurement unit for displacement ("m", "cm", or "mm").
+            :type unit: str
+            :return: SQL query string to get the cumulative displacement per patch.
+            :rtype: str
+            """
+            # scaling_factor = [1, 100, 1000][["m", "cm", "mm"].index(unit)]
+            return f"""
+            SELECT
+                ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom,
+                avg_cum_disp * {scaling_factor} AS cum_disp
+            FROM patches
+            WHERE avg_cum_disp IS NOT NULL
+            ORDER BY cum_disp ASC;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_ps_vel_gcp(source_crs: str, scaling_factor: float) -> str:
+            """Get average velocity based on ground control points (GCPs).
+            This method generates an SQL query to retrieve the average velocity for
+            each point based on ground control points (GCPs), transforming the geometries
+            from a source CRS to a target projection defined in the Visualisation class.
+
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :param unit: The measurement unit for velocity ("m", "cm", or "mm").
+            :type unit: str
+            :return: SQL query string to get the average velocity based on GCPs.
+            :rtype: str
+            """
+            return f"""
+            SELECT
+                ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom,
+                avg_velocity_gcp * {scaling_factor} AS velocity
+            FROM pspoint
+            WHERE patch_id IS NOT NULL
+            ORDER BY velocity ASC;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_ps_vel_lcp(source_crs: str, scaling_factor: float) -> str:
+            """Get average velocity based on local control points (LCPs).
+
+            This method generates an SQL query to retrieve the average velocity for
+            each point based on local control points (LCPs), transforming the geometries
+            from a source CRS to a target projection defined in the Visualisation class.
+
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :param unit: The measurement unit for velocity ("m", "cm", or "mm").
+            :type unit: str
+            :return: SQL query string to get the average velocity based on LCPs.
+            :rtype: str
+            """
+            return f"""
+            SELECT
+                ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom,
+                ABS(avg_velocity_lcp) * {scaling_factor} AS velocity
+            FROM pspoint
+            WHERE patch_id IS NOT NULL
+            ORDER BY velocity ASC;
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_center(point_uid: float, source_crs: str) -> str:
+            """Get the center point of the outlier within a specific patch.
+
+            This method generates an SQL query to retrieve the center point of the outlier
+            within a specific patch, transforming the geometry from a source CRS to a target
+            projection defined in the Visualisation class.
+
+            :param point_uid: The unique identifier of the outlier point.
+            :type point_uid: float
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :return: SQL query string to get the center point of the outlier within the specified patch.
+            """
+            return f"""
+            SELECT
+                ST_AsWKB(ST_TRANSFORM(ST_Centroid(geom), '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom
+            FROM pspoint
+            WHERE uid = {point_uid}
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_patch_center(patch_id: float, source_crs: str) -> str:
+            """Get the center point of a specific patch.
+
+            This method generates an SQL query to retrieve the center point of a specific
+            patch, transforming the geometry from a source CRS to a target projection defined in the Visualisation class.
+
+            :param patch_id: The unique identifier of the patch.
+            :type patch_id: float
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :return: SQL query string to get the center point of the specified patch.
+            """
+            return f"""
+            SELECT
+                ST_AsWKB(ST_TRANSFORM(ST_Centroid(geom), '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom
+            FROM patches
+            WHERE uid = {patch_id}
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_ps_points(patch_id: float, source_crs: str, table_name: str) -> str:
+            """Get points within a specific patch.
+
+            This method generates an SQL query to retrieve points within a specific patch,
+            transforming the geometries from a source CRS to a target projection defined
+            in the Visualisation class.
+
+            :param patch_id: The unique identifier of the patch.
+            :type patch_id: float
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :param table_name: The name of the table containing the points.
+            :type table_name: str
+            :return: SQL query string to get the points within the specified patch.
+            :rtype: str
+            """
+            return f"""
+            SELECT
+                ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom,
+            FROM {table_name}
+            WHERE patch_id = {patch_id}
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_lcp_point(patch_id: float, source_crs: str) -> str:
+            """Get the local control point (LCP) within a specific patch.
+
+            This method generates an SQL query to retrieve the local control point (LCP)
+            within a specific patch, transforming the geometry from a source CRS to a target
+            projection defined in the Visualisation class.
+
+            :param patch_id: The unique identifier of the patch.
+            :type patch_id: float
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :return: SQL query string to get the LCP within the specified patch.
+            """
+            return f"""
+            SELECT
+                ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom
+            FROM pspoint
+            WHERE uid = (
+                SELECT lcp_uid
+                FROM patches
+                WHERE uid = {patch_id}
+            )
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_outlier_points(patch_id: float, source_crs: str) -> str:
+            """Get the outlier points within a specific patch.
+
+            This method generates an SQL query to retrieve the outlier point within a specific patch,
+            transforming the geometry from a source CRS to a target projection defined in the Visualisation class.
+
+            :param patch_id: The unique identifier of the patch.
+            :type patch_id: float
+            :param source_crs: The source coordinate reference system of the geometries.
+            :type source_crs: str
+            :return: SQL query string to get the outlier point within the specified patch.
+            """
+            return f"""
+            SELECT
+                uid,
+                ST_AsWKB(ST_TRANSFORM(geom, '{source_crs}', '{Pipeline.Visualisation.projection}', always_xy := true)) AS geom
+            FROM pspoint
+            WHERE uid IN (
+                SELECT uid
+                FROM outliers
+                WHERE patch_id = {patch_id}
+            )
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_cum_disp_graph(outlier_id: float, scaling_factor: float) -> str:
+            """Get outlier displacement time series.
+
+            This method generates an SQL query to retrieve the outlier displacement time series
+            for a specific patch, scaling the displacement values by a specified factor.
+
+            :param outlier_id: The unique identifier of the patch.
+            :type outlier_id: float
+            :param scaling_factor: The factor to scale the displacement values.
+            :type scaling_factor: float
+            :return: SQL query string to get the outlier displacement time series for the specified patch.
+            """
+            return f"""
+            SELECT
+                list_transform(disp_ts, x -> x * {scaling_factor})
+            FROM outliers
+            WHERE uid = {outlier_id}
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_avg_cum_disp_graph(patch_id: float, scaling_factor: float) -> str:
+            """Get average cumulative displacement time series.
+
+            This method generates an SQL query to retrieve the average cumulative displacement
+            time series for a specific patch, scaling the displacement values by a specified factor.
+
+            :param patch_id: The unique identifier of the patch.
+            :type patch_id: float
+            :param scaling_factor: The factor to scale the displacement values.
+            :type scaling_factor: float
+            :return: SQL query string to get the average cumulative displacement time series for the specified patch.
+            """
+            return f"""
+            SELECT
+                list_transform(avg_disp_ts_gcp, x -> x * {scaling_factor})
+            FROM patches
+            WHERE uid = {patch_id}
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_std_cum_disp_graph(patch_id: float, scaling_factor: float) -> str:
+            """Get standard deviation of cumulative displacement time series.
+
+            This method generates an SQL query to retrieve the standard deviation of cumulative
+            displacement time series for a specific patch, scaling the displacement values by a specified factor.
+
+            :param patch_id: The unique identifier of the patch.
+            :type patch_id: float
+            :param scaling_factor: The factor to scale the displacement values.
+            :type scaling_factor: float
+            :return: SQL query string to get the standard deviation of cumulative displacement time series for the specified patch.
+            """
+            return f"""
+            SELECT
+                list_transform(std_disp_ts_gcp, x -> x * {scaling_factor})
+            FROM patches
+            WHERE uid = {patch_id}
+            """

+
+
+

+[docs]
+        def get_outlier_rel_ts_graph(outlier_id: float, scaling_factor: float) -> str:
+            # TODO: check the logic here
+            """Get outlier relative displacement time series.
+
+            This method generates an SQL query to retrieve the outlier relative displacement
+            time series for a specific patch, scaling the displacement values by a specified factor.
+
+            :param outlier_id: The unique identifier of the patch.
+            :type outlier_id: float
+            :param scaling_factor: The factor to scale the displacement values.
+            :type scaling_factor: float
+            :return: SQL query string to get the outlier relative displacement time series for the specified patch.
+            """
+            return f"""
+            SELECT
+                list_transform(rel_ts, x -> x * {scaling_factor})
+            FROM outliers
+            WHERE uid = {outlier_id}
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_lcp_disp_graph(patch_id: float, scaling_factor: float) -> str:
+            """Get local control point (LCP) displacement time series.
+
+            This method generates an SQL query to retrieve the local control point (LCP)
+            displacement time series for a specific patch, scaling the displacement values by a specified factor.
+
+            :param patch_id: The unique identifier of the patch.
+            :type patch_id: float
+            :param scaling_factor: The factor to scale the displacement values.
+            :type scaling_factor: float
+            :return: SQL query string to get the LCP displacement time series for the specified patch.
+            """
+            return f"""
+            SELECT
+                list_transform(lcp_disp_ts, x -> x * {scaling_factor})
+            FROM patches
+            WHERE uid = {patch_id}
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_avg_disp_lcp_graph(patch_id: float, scaling_factor: float) -> str:
+            """Get average displacement time series based on local control points (LCPs).
+
+            This method generates an SQL query to retrieve the average displacement time series
+            based on local control points (LCPs) for a specific patch, scaling the displacement
+            values by a specified factor.
+
+            :param patch_id: The unique identifier of the patch.
+            :type patch_id: float
+            :param scaling_factor: The factor to scale the displacement values.
+            :type scaling_factor: float
+            :return: SQL query string to get the average displacement time series based on LCPs for the specified patch.
+            """
+            return f"""
+            SELECT
+                list_transform(avg_disp_ts_lcp, x -> x * {scaling_factor})
+            FROM patches
+            WHERE uid = {patch_id}
+            """

+
+
+

+[docs]
+        @staticmethod
+        def get_std_disp_lcp_graph(patch_id: float, scaling_factor: float) -> str:
+            """Get standard deviation of displacement time series based on local control points (LCPs).
+
+            This method generates an SQL query to retrieve the standard deviation of displacement
+            time series based on local control points (LCPs) for a specific patch, scaling the
+            displacement values by a specified factor.
+
+            :param patch_id: The unique identifier of the patch.
+            :type patch_id: float
+            :param scaling_factor: The factor to scale the displacement values.
+            :type scaling_factor: float
+            :return: SQL query string to get the standard deviation of displacement time series based on LCPs for the specified patch.
+            """
+            return f"""
+            SELECT
+                list_transform(std_disp_ts_lcp, x -> x * {scaling_factor})
+            FROM patches
+            WHERE uid = {patch_id}
+            """

+
+
+

+[docs]
+        @staticmethod
+        def patch_uids() -> str:
+            """Get all patch UIDs that have outliers.
+
+            This method generates an SQL query to retrieve all unique identifiers (UIDs)
+            of patches that have been identified as containing outliers.
+
+            :return: SQL query string to get all patch UIDs with outliers.
+            :rtype: str
+            """
+            return """
+            SELECT patch_id
+            FROM outliers
+            GROUP BY patch_id;
+            """

+

+

+
+
+ +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/docs/build/html/_modules/saferoad/plotter.html b/docs/build/html/_modules/saferoad/plotter.html new file mode 100644 index 0000000..78482da --- /dev/null +++ b/docs/build/html/_modules/saferoad/plotter.html @@ -0,0 +1,1099 @@ + + + + + + + + saferoad.plotter — saferoad 0.1 documentation + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +

Source code for saferoad.plotter

+from matplotlib import pyplot as plt
+import contextily as ctx
+from shapely.wkb import loads as load_wkb
+from matplotlib.lines import Line2D
+from datetime import datetime
+import matplotlib.dates as mdates
+
+
+

+[docs]
+class Plotter:
+    """Class to create and manage plots for geospatial data analysis."""
+
+

+[docs]
+    class MapPane:
+        """
+        Class to create and manage a multi-panel map figure.
+
+        Panels include:
+        - PS Density
+        - Outliers
+        - Cumulative Displacement
+        - PS Velocity based on GCP
+        - PS Velocity based on LCP
+        """
+
+        def __init__(self):
+            self.generate_figure()
+
+

+[docs]
+        def generate_figure(self):
+            """
+            Generates a multi-panel figure with specified layout and titles.
+            """
+            fig = plt.figure(figsize=(18, 12))
+            layout = [
+                ["A", "A", "B", "B", "C", "C"],  # top row: 3 panels, equal widths
+                [".", "D", "D", "E", "E", "."],  # bottom row: 2 panels centered
+            ]
+            axs = fig.subplot_mosaic(layout, empty_sentinel=".")
+
+            # Optional spacing (no constrained_layout -> safer with contextily)
+            fig.subplots_adjust(wspace=0.25, hspace=0.35)
+            axs["A"].set_title("PS Density", fontsize=10)
+            axs["B"].set_title("Outliers", fontsize=10)
+            axs["C"].set_title("Cumulative Displacement", fontsize=10)
+            axs["D"].set_title("PS Velocity based on GCP", fontsize=10)
+            axs["E"].set_title("PS Velocity based on LCP", fontsize=10)
+            self.fig = fig
+            self.axs = [axs["A"], axs["B"], axs["C"], axs["D"], axs["E"]]

+
+
+

+[docs]
+        def plot_basemap(self, bbox: tuple[float, float, float, float]):
+            """
+            Plots a basemap on all axes using the provided bounding box.
+
+            :param bbox: A tuple representing the bounding box (minx, miny, maxx, maxy).
+            """
+            bbox = [i for i in bbox[0]]
+
+            for ax in self.axs:
+                ax.set_xlim(bbox[0] - 2000, bbox[2] + 2000)
+                ax.set_ylim(bbox[1] - 2000, bbox[3] + 4000)
+                ctx.add_basemap(
+                    ax,
+                    source=ctx.providers.CartoDB.Positron,
+                    crs="EPSG:3857",
+                )

+
+
+

+[docs]
+        def plot_ps_density(self, plot_data: list[tuple]) -> None:
+            """
+            Plots PS Density data on the first axis.
+
+            :param plot_data: List of tuples containing geometry and PS density value.
+            """
+            label_store = []
+            for geom, psdensity in plot_data:
+                geom = load_wkb(geom)
+                color, label = self.ps_density_color_label(psdensity)
+                if label not in label_store:
+                    label_store.append(label)
+                else:
+                    label = None
+
+                self.axs[0].fill(
+                    *geom.exterior.xy,
+                    fc=color,
+                    ec=color,
+                    label=label,
+                )
+            self.axs[0].legend(
+                title="PS Density",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def plot_outliers(self, plot_data: list[tuple]) -> None:
+            """
+            Plots outlier data on the second axis.
+
+            :param plot_data: List of tuples containing geometry and outlier velocity value.
+            """
+            label_store = []
+            for geom, vel in plot_data:
+                geom = load_wkb(geom)
+                color, label = self.outlier_color_label(vel)
+                if label not in label_store:
+                    label_store.append(label)
+                else:
+                    label = None
+
+                self.axs[1].scatter(
+                    *geom.xy,
+                    s=10,
+                    c=color,
+                    label=label,
+                )
+            self.axs[1].legend(
+                title="Outlier",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def plot_cum_disp(self, plot_data: list[tuple]) -> None:
+            """
+            Plots cumulative displacement data on the third axis.
+
+            :param plot_data: List of tuples containing geometry and cumulative displacement value.
+            """
+            label_store = []
+            for geom, disp in plot_data:
+                geom = load_wkb(geom)
+                color, label = self.cum_disp_color_label(disp)
+                if label not in label_store:
+                    label_store.append(label)
+                else:
+                    label = None
+
+                self.axs[2].fill(
+                    *geom.exterior.xy,
+                    fc=color,
+                    ec=color,
+                    label=label,
+                )
+            self.axs[2].legend(
+                title="Cumulative\nDisplacement",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def plot_gcp_velocity(self, plot_data: list[tuple]) -> None:
+            """Plots GCP velocity data on the fourth axis.
+
+            :param plot_data: List of tuples containing geometry and GCP velocity value.
+            """
+            points, colors = [], []
+            for geom, vel in plot_data:
+                geom = load_wkb(geom)
+                points.append(geom.xy)
+                colors.append(self.gcp_vel_color(vel))
+
+            x_coords = [p[0][0] for p in points]
+            y_coords = [p[1][0] for p in points]
+
+            self.axs[3].scatter(
+                x_coords,
+                y_coords,
+                s=4,
+                c=colors,
+                alpha=0.7,
+            )
+            legend_elements = [
+                Line2D(
+                    [0],
+                    [0],
+                    marker="o",
+                    color="w",
+                    markerfacecolor="red",
+                    markersize=6,
+                    label="(-15,-6) mm",
+                ),
+                Line2D(
+                    [0],
+                    [0],
+                    marker="o",
+                    color="w",
+                    markerfacecolor="orange",
+                    markersize=6,
+                    label="(-6,-4) mm",
+                ),
+                Line2D(
+                    [0],
+                    [0],
+                    marker="o",
+                    color="w",
+                    markerfacecolor="yellow",
+                    markersize=6,
+                    label="(-4,-2) mm",
+                ),
+                Line2D(
+                    [0],
+                    [0],
+                    marker="o",
+                    color="w",
+                    markerfacecolor="lightgreen",
+                    markersize=6,
+                    label="(-2,2) mm",
+                ),
+                Line2D(
+                    [0],
+                    [0],
+                    marker="o",
+                    color="w",
+                    markerfacecolor="cyan",
+                    markersize=6,
+                    label="(2,5) mm",
+                ),
+                Line2D(
+                    [0],
+                    [0],
+                    marker="o",
+                    color="w",
+                    markerfacecolor="blue",
+                    markersize=6,
+                    label="(5,15) mm",
+                ),
+            ]
+
+            self.axs[3].legend(
+                handles=legend_elements,
+                title="PS Velocity GCP",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def plot_lcp_velocity(self, plot_data: list[tuple]) -> None:
+            """Plots LCP velocity data on the fifth axis.
+
+            :param plot_data: List of tuples containing geometry and LCP velocity value.
+            """
+            points, colors = [], []
+            for geom, vel in plot_data:
+                geom = load_wkb(geom)
+                points.append(geom.xy)
+                colors.append(self.lcp_vel_color(vel))
+            x_coords = [p[0][0] for p in points]
+            y_coords = [p[1][0] for p in points]
+
+            self.axs[4].scatter(
+                x_coords,
+                y_coords,
+                s=2,
+                c=colors,
+                alpha=0.6,
+            )
+
+            legend_elements = [
+                Line2D(
+                    [0],
+                    [0],
+                    marker="o",
+                    color="w",
+                    markerfacecolor="green",
+                    markersize=6,
+                    label="(0,2) mm",
+                ),
+                Line2D(
+                    [0],
+                    [0],
+                    marker="o",
+                    color="w",
+                    markerfacecolor="red",
+                    markersize=6,
+                    label="(2,12) mm",
+                ),
+            ]
+            self.axs[4].legend(
+                handles=legend_elements,
+                title="PS Velocity LCP",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def post_process(self):
+            """
+            Post-processes the figure for better aesthetics.
+
+            """
+            for i in [1, 2, 4]:
+                self.axs[i].get_yaxis().set_visible(False)
+                xticks = self.axs[i].get_xticks()
+                self.axs[i].set_xticks(xticks[::2])  # Keep every other tick
+                self.axs[i].set_xticklabels(self.axs[i].get_xticks())
+            for i in [0, 3]:
+                yticks = self.axs[i].get_yticks()
+                self.axs[i].set_yticks(yticks[::3])  # Keep every other tick
+                self.axs[i].set_yticklabels(
+                    self.axs[i].get_yticks(),
+                    horizontalalignment="center",
+                    verticalalignment="center",
+                )
+                xticks = self.axs[i].get_xticks()
+                self.axs[i].set_xticks(xticks[::2])  # Keep every other tick
+                self.axs[i].set_xticklabels(self.axs[i].get_xticks())

+
+
+            # self.fig.tight_layout()
+
+

+[docs]
+        def get_figure(self) -> tuple[plt.Figure, list[plt.Axes]]:
+            """
+            Returns the figure and axes.
+
+            :return: Tuple containing the figure and axes.
+            :rtype: tuple[plt.Figure, list[plt.Axes]]
+            """
+            return self.fig, self.axs

+
+
+

+[docs]
+        def outlier_color_label(self, value: float) -> tuple[str, str]:
+            """Returns color and label based on outlier velocity value.
+
+            :param value: Outlier velocity value.
+            :type value: float
+            :return: Tuple containing color and label.
+            :rtype: tuple[str, str]
+            """
+            if 5 <= value <= 7:
+                return "yellow", "5<|v|<7 mm/yr"
+            elif 7 < value <= 9:
+                return "orange", "7<|v|<9 mm/yr"
+            else:
+                return "red", "9<|v|<12 mm/yr"

+
+
+

+[docs]
+        def ps_density_color_label(self, value: float) -> tuple[str, str]:
+            """Returns color and label based on PS density value.
+
+            :param value: PS density value.
+            :type value: float
+            :return: Tuple containing color and label.
+            :rtype: tuple[str, str]
+            """
+            if value < 100:
+                return "red", "Low"
+            if 100 <= value < 500:
+                return "yellow", "Medium"
+            else:
+                return "green", "High"

+
+
+

+[docs]
+        def cum_disp_color_label(self, value: float) -> str:
+            """Returns color and label based on cumulative displacement value.
+
+            :param value: Cumulative displacement value.
+            :type value: float
+            :return: Tuple containing color and label.
+            :rtype: tuple[str, str]
+            """
+            if value < -20:
+                return "red", "(-60,-20) mm"
+            elif value < -15:
+                return "orange", "(-20,-15) mm"
+            elif value < -5:
+                return "yellow", "(-15,-5) mm"
+            elif value < 5:
+                return "lightgreen", "(-5,5) mm"
+            elif value < 15:
+                return "cyan", "(5,15) mm"
+            else:
+                return "blue", "(15,60) mm"

+
+
+

+[docs]
+        def gcp_vel_color(self, value: float) -> str:
+            """Returns color based on GCP velocity value.
+
+            :param value: GCP velocity value.
+            :type value: float
+            :return: Color string.
+            :rtype: str
+            """
+            if value <= -6:
+                return "red"
+            elif value <= -4:
+                return "orange"
+            elif value <= -2:
+                return "yellow"
+            elif value <= 2:
+                return "lightgreen"
+            elif value <= 5:
+                return "cyan"
+            else:
+                return "blue"

+
+
+

+[docs]
+        def lcp_vel_color(self, value: float) -> str:
+            """Returns color based on LCP velocity value.
+
+            :param value: LCP velocity value.
+            :type value: float
+            :return: Color string.
+            :rtype: str
+            """
+            if value <= 2:
+                return "green"
+            else:
+                return "red"

+

+
+
+

+[docs]
+    class TimeSeriesPane:
+        """Class to create and manage a multi-panel time series figure.
+        Panels include:
+        - Basemap with Outliers
+        - Basemap with PS Points
+        - Cumulative Displacement
+        - Relative Displacement
+        - Local Control Point Displacement
+        """
+
+        def __init__(self):
+            self.generate_figure()
+
+

+[docs]
+        def generate_figure(self):
+            """Generates a multi-panel figure with specified layout and titles."""
+            fig = plt.figure(figsize=(12, 12), dpi=150)
+            layout = [
+                3 * ["A"] + 3 * ["C"],  # ["A", "A", "A", "C", "C", "C"],
+                3 * ["A"] + 3 * ["C"],  # ["A", "A", "A", "C", "C", "C"],
+                3 * ["A"] + 3 * ["D"],  # ["A", "A", "A", "D", "D", "D"],
+                3 * ["B"] + 3 * ["D"],  # ["B", "B", "B", "D", "D", "D"],
+                3 * ["B"] + 3 * ["E"],  # ["B", "B", "B", "E", "E", "E"],
+                3 * ["B"] + 3 * ["E"],  # ["B", "B", "B", "E", "E", "E"],
+            ]
+            axs = fig.subplot_mosaic(layout, empty_sentinel=".")
+            fig.subplots_adjust(wspace=1, hspace=1)
+            axs["C"].set_title("Cumulative Displacement", fontsize=10)
+            axs["C"].set_ylabel("[mm]", fontsize=8, labelpad=2)
+            axs["D"].set_title("Relative Displacement", fontsize=10)
+            axs["D"].set_ylabel("[mm]", fontsize=8, labelpad=2)
+            axs["E"].set_title("Local Control Point Displacement", fontsize=10)
+            axs["E"].set_ylabel("[mm]", fontsize=8, labelpad=2)
+            self.fig = fig
+            self.axs = [axs["A"], axs["B"], axs["C"], axs["D"], axs["E"]]

+
+
+

+[docs]
+        def plot_basemap_outlier(self, center: tuple[float, float]):
+            """
+            Plots a basemap on the first axis using the provided center point.
+
+            :param center: A tuple representing the center point (x, y).
+            :type center: tuple[float, float]
+            """
+            self.axs[0].set_xlim(center[0][0] - 2000, center[0][0] + 2000)
+            self.axs[0].set_ylim(center[1][0] - 2000, center[1][0] + 4000)
+            ctx.add_basemap(
+                self.axs[0],
+                source=ctx.providers.CartoDB.Positron,
+                crs="EPSG:3857",
+            )

+
+
+

+[docs]
+        def plot_basemap_pspoint(self, center: tuple[float, float]):
+            """
+            Plots a basemap on the second axis using the provided center point.
+
+            :param center: A tuple representing the center point (x, y).
+            :type center: tuple[float, float]
+            """
+            self.axs[1].set_xlim(center[0][0] - 1000, center[0][0] + 1000)
+            self.axs[1].set_ylim(center[1][0] - 1000, center[1][0] + 1000)
+            ctx.add_basemap(
+                self.axs[1],
+                source=ctx.providers.CartoDB.Positron,
+                crs="EPSG:3857",
+            )

+
+
+

+[docs]
+        def plot_all_outliers(self, plot_data: list[tuple]) -> None:
+            """Plots all outlier data on the first axis.
+
+            :param plot_data: List of tuples containing geometry and outlier velocity value.
+            :type plot_data: list[tuple]
+            """
+            label_store = []
+            for geom, vel in plot_data:
+                geom = load_wkb(geom)
+                color, label = self.outlier_color_label(vel)
+                if label not in label_store:
+                    label_store.append(label)
+                else:
+                    label = None
+
+                self.axs[0].scatter(
+                    *geom.xy,
+                    s=10,
+                    c=color,
+                    label=label,
+                )
+            self.axs[0].legend(
+                title="Outlier",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def plot_square(self, plot_data: list[tuple]) -> None:
+            """Plots a square on the first axis to indicate zoom area.
+
+            :param plot_data: List of tuples containing geometry and outlier velocity value.
+            :type plot_data: list[tuple]
+            """
+            label_store = []
+            x, y = plot_data[0][0], plot_data[1][0]
+            square = [
+                (x - 75, y - 75),
+                (x + 75, y - 75),
+                (x + 75, y + 75),
+                (x - 75, y + 75),
+                (x - 75, y - 75),  # Close the square
+            ]
+            square_x, square_y = zip(*square)
+            self.axs[0].fill(
+                square_x,
+                square_y,
+                fc="none",
+                ec="black",
+                label="Zoom Area",
+            )
+            self.axs[0].legend(
+                title="Outliers",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def plot_pspoint_dist(self, plot_data: list[tuple]) -> None:
+            """Plots PS Points on the second axis.
+
+            :param plot_data: List of tuples containing geometry.
+            :type plot_data: list[tuple]
+            """
+            points = []
+            for geom in plot_data:
+                if isinstance(geom, tuple) and len(geom) > 0:
+                    geom = load_wkb(geom[0])
+                    points.append(geom.xy)
+            x_coords = [p[0][0] for p in points]
+            y_coords = [p[1][0] for p in points]
+
+            self.axs[1].scatter(
+                x_coords,
+                y_coords,
+                s=6,
+                c="black",
+                label="PS Points",
+            )
+            self.axs[1].legend(
+                title="Legend",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def plot_outlier(self, plot_data: list[tuple]) -> None:
+            """Plots outlier data on the second axis.
+
+            :param plot_data: List of tuples containing geometry and outlier velocity value.
+            :type plot_data: list[tuple]
+            """
+            label_store = []
+            for geom, vel in plot_data:
+                geom = load_wkb(geom)
+                color, label = self.outlier_color_label(vel)
+                if label not in label_store:
+                    label_store.append(label)
+                else:
+                    label = None
+
+                self.axs[1].scatter(
+                    *geom.xy,
+                    s=16,
+                    c=color,
+                    label=label,
+                )
+            self.axs[1].legend(
+                title="Legend",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def plot_lcp(self, plot_data: list[tuple]) -> None:
+            """Plots LCP data on the second axis.
+
+            :param plot_data: List of tuples containing geometry.
+            :type plot_data: list[tuple]
+            """
+            geom = load_wkb(plot_data[0])
+            self.axs[1].scatter(
+                *geom.xy,
+                s=20,
+                marker="^",
+                c="lightblue",
+                label="LCP",
+            )
+            self.axs[1].legend(
+                title="Legend",
+                loc="upper right",
+                fontsize=6,
+                title_fontsize=6,
+                frameon=True,
+                facecolor="white",
+                edgecolor="black",
+            )

+
+
+

+[docs]
+        def plot_cum_disp_graph(
+            self, plot_data: list[tuple], dates: list[datetime]
+        ) -> None:
+            """Plots cumulative displacement data on the third axis.
+
+            :param plot_data: List of tuples containing cumulative displacement values.
+            :type plot_data: list[tuple]
+            :param dates: List of datetime objects corresponding to the displacement values.
+            :type dates: list[datetime]
+            """
+            y = plot_data[0][0]
+            x = dates
+            self.axs[2].scatter(
+                x,
+                y,
+                s=6,
+                color="black",
+            )

+
+
+

+[docs]
+        def plot_avg_disp_graph(
+            self, plot_data: list[tuple], dates: list[datetime]
+        ) -> None:
+            """Plots average cumulative displacement data on the third axis.
+
+            :param plot_data: List of tuples containing average cumulative displacement values.
+            :type plot_data: list[tuple]
+            :param dates: List of datetime objects corresponding to the displacement values.
+            :type dates: list[datetime]
+            """
+
+            y = plot_data[0][0]
+            x = dates
+            self.axs[2].plot(
+                x,
+                y,
+                color="red",
+                linewidth=1,
+            )

+
+
+

+[docs]
+        def plot_std_disp_graph(
+            self, avg_data: list[tuple], std_data: list[tuple], dates: list[datetime]
+        ):
+            """Plots standard deviation of cumulative displacement data on the third axis.
+
+            :param avg_data: List of tuples containing average cumulative displacement values.
+            :type avg_data: list[tuple]
+            :param std_data: List of tuples containing standard deviation of cumulative displacement values.
+            :type std_data: list[tuple]
+            :param dates: List of datetime objects corresponding to the displacement values.
+            :type dates: list[datetime]
+            """
+            y_avg = avg_data[0][0]
+            y_std = std_data[0][0]
+            x = dates
+            self.axs[2].fill_between(
+                x,
+                [y_avg[i] - 2 * y_std[i] for i in range(len(y_avg))],
+                [y_avg[i] + 2 * y_std[i] for i in range(len(y_avg))],
+                color="dimgray",
+                alpha=0.5,
+                # label="±2 Std Dev",
+            )
+            self.axs[2].fill_between(
+                x,
+                [y_avg[i] - y_std[i] for i in range(len(y_avg))],
+                [y_avg[i] + y_std[i] for i in range(len(y_avg))],
+                color="whitesmoke",
+                alpha=0.5,
+                # label="±1 Std Dev",
+            )

+
+
+

+[docs]
+        def plot_lcp_disp_graph(
+            self, plot_data: list[tuple], dates: list[datetime]
+        ) -> None:
+            """Plots LCP displacement data on the fifth axis.
+
+            :param plot_data: List of tuples containing LCP displacement values.
+            :type plot_data: list[tuple]
+            :param dates: List of datetime objects corresponding to the displacement values.
+            :type dates: list[datetime]
+            """
+            y = plot_data[0][0]
+            x = dates
+            self.axs[4].scatter(
+                x,
+                y,
+                s=6,
+                color="black",
+            )

+
+
+

+[docs]
+        def plot_avg_lcp_disp_graph(
+            self, plot_data: list[tuple], dates: list[datetime]
+        ) -> None:
+            """Plots average LCP displacement data on the fifth axis.
+
+            :param plot_data: List of tuples containing average LCP displacement values.
+            :type plot_data: list[tuple]
+            :param dates: List of datetime objects corresponding to the displacement values.
+            :type dates: list[datetime]
+            """
+            y = plot_data[0][0]
+            x = dates
+            self.axs[4].plot(
+                x,
+                y,
+                color="red",
+                linewidth=1,
+            )

+
+
+

+[docs]
+        def plot_std_lcp_disp_graph(
+            self, avg_data: list[tuple], std_data: list[tuple], dates: list[datetime]
+        ):
+            """Plots standard deviation of LCP displacement data on the fifth axis.
+
+            :param avg_data: List of tuples containing average LCP displacement values.
+            :type avg_data: list[tuple]
+            :param std_data: List of tuples containing standard deviation of LCP displacement values.
+            :type std_data: list[tuple]
+            :param dates: List of datetime objects corresponding to the displacement values.
+            :type dates: list[datetime]
+            """
+            y_avg = avg_data[0][0]
+            y_std = std_data[0][0]
+            x = dates
+            self.axs[4].fill_between(
+                x,
+                [y_avg[i] - 2 * y_std[i] for i in range(len(y_avg))],
+                [y_avg[i] + 2 * y_std[i] for i in range(len(y_avg))],
+                color="dimgray",
+                alpha=0.5,
+                # label="±2 Std Dev",
+            )
+            self.axs[4].fill_between(
+                x,
+                [y_avg[i] - y_std[i] for i in range(len(y_avg))],
+                [y_avg[i] + y_std[i] for i in range(len(y_avg))],
+                color="whitesmoke",
+                alpha=0.5,
+                # label="±1 Std Dev",
+            )

+
+
+

+[docs]
+        def plot_rel_disp_graph(
+            self, plot_data: list[tuple], dates: list[datetime]
+        ) -> None:
+            """Plots relative displacement data on the fourth axis.
+
+            :param plot_data: List of tuples containing relative displacement values.
+            :type plot_data: list[tuple]
+            :param dates: List of datetime objects corresponding to the displacement values.
+            :type dates: list[datetime]
+            """
+            y = plot_data[0][0]
+            x = dates
+            self.axs[3].scatter(
+                x,
+                y,
+                s=6,
+                color="black",
+            )

+
+
+

+[docs]
+        def plot_avg_rel_disp_graph(
+            self, plot_data: list[tuple], dates: list[datetime]
+        ) -> None:
+            """Plots average relative displacement data on the fourth axis.
+
+            :param plot_data: List of tuples containing average relative displacement values.
+            :type plot_data: list[tuple]
+            :param dates: List of datetime objects corresponding to the displacement values.
+            :type dates: list[datetime]
+            """
+            y = plot_data[0][0]
+            x = dates
+            self.axs[3].plot(
+                x,
+                y,
+                color="red",
+                linewidth=1,
+            )

+
+
+

+[docs]
+        def plot_std_rel_disp_graph(
+            self, avg_data: list[tuple], std_data: list[tuple], dates: list[datetime]
+        ):
+            """Plots standard deviation of relative displacement data on the fourth axis.
+
+            :param avg_data: List of tuples containing average relative displacement values.
+            :type avg_data: list[tuple]
+            :param std_data: List of tuples containing standard deviation of relative displacement values.
+            :type std_data: list[tuple]
+            :param dates: List of datetime objects corresponding to the displacement values.
+            :type dates: list[datetime]
+            """
+            y_avg = avg_data[0][0]
+            y_std = std_data[0][0]
+            x = dates
+            self.axs[3].fill_between(
+                x,
+                [y_avg[i] - 2 * y_std[i] for i in range(len(y_avg))],
+                [y_avg[i] + 2 * y_std[i] for i in range(len(y_avg))],
+                color="dimgray",
+                alpha=0.5,
+                # label="±2 Std Dev",
+            )
+            self.axs[3].fill_between(
+                x,
+                [y_avg[i] - y_std[i] for i in range(len(y_avg))],
+                [y_avg[i] + y_std[i] for i in range(len(y_avg))],
+                color="whitesmoke",
+                alpha=0.5,
+                # label="±1 Std Dev",
+            )

+
+
+

+[docs]
+        def outlier_color_label(self, value: float) -> tuple[str, str]:
+            """Returns color and label based on outlier velocity value.
+
+            :param value: Outlier velocity value.
+            :type value: float
+            :return: Tuple containing color and label.
+            :rtype: tuple[str, str]
+            """
+            if value <= 7:
+                return "yellow", "5<|v|<7 mm/yr"
+            elif value <= 9:
+                return "orange", "7<|v|<9 mm/yr"
+            else:
+                return "red", "9<|v|<12 mm/yr"

+
+
+

+[docs]
+        def post_process(self):
+            """Post-processes the figure for better aesthetics."""
+            for i in [0, 1]:
+                xticks = self.axs[i].get_xticks()
+                yticks = self.axs[i].get_yticks()
+                self.axs[i].set_xticks(xticks[::3])  # Keep every other tick
+                self.axs[i].set_xticklabels(self.axs[i].get_xticks())
+                self.axs[i].set_yticks(yticks[::3])  # Keep every other tick
+                self.axs[i].set_yticklabels(self.axs[i].get_yticks())
+
+            ymins, ymaxs = [], []
+
+            for ax in [self.axs[2], self.axs[3], self.axs[4]]:
+                ymin, ymax = ax.get_ylim()
+                ymins.append(ymin)
+                ymaxs.append(ymax)
+
+            for ax in [self.axs[2], self.axs[3], self.axs[4]]:
+                ax.set_ylim(min(ymins), max(ymaxs))
+                ax.xaxis.set_major_locator(mdates.YearLocator())
+                ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y"))
+                ax.xaxis.set_minor_locator(mdates.MonthLocator())

+
+
+

+[docs]
+        def get_figure(self) -> tuple[plt.Figure, list[plt.Axes]]:
+            """Returns the figure and axes.
+
+            :return: Tuple containing the figure and axes.
+            :rtype: tuple[plt.Figure, list[plt.Axes]]
+            """
+            return self.fig, self.axs

+

+

+
+
+ +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/docs/build/html/_modules/saferoad/saferoad.html b/docs/build/html/_modules/saferoad/saferoad.html new file mode 100644 index 0000000..65875a8 --- /dev/null +++ b/docs/build/html/_modules/saferoad/saferoad.html @@ -0,0 +1,785 @@ + + + + + + + + saferoad.saferoad — saferoad 0.1 documentation + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +

Source code for saferoad.saferoad

+# standard modules
+import io
+from datetime import datetime
+from joblib import Parallel, delayed
+from shapely.wkb import loads as wkb_loads
+from dataclasses import dataclass
+from typing import Literal
+from tqdm import tqdm
+
+# plotting modules
+import matplotlib
+from matplotlib.backends.backend_pdf import PdfPages
+from matplotlib import pyplot as plt
+
+matplotlib.use("Agg")
+# saferoad modules
+from .plotter import Plotter
+from .database import DataBase
+from .pipeline import Pipeline
+from .utils import extract_dates, time_vector, Timer
+
+
+

+[docs]
+@dataclass
+class PsData:
+    """Class for storing point source data information.
+
+    :param filepath: Path to the point source data file.
+    :type filepath: str
+    :param latitude: Field name of the latitude field in the data file.
+    :type latitude: str
+    :param longitude: Field name of the longitude field in the data file.
+    :type longitude: str
+    :param unit: Unit of measurement for the coordinates. Options are "m", "cm", or "mm". Default is "m".
+    :type unit: Literal["m", "cm", "mm"]
+    :param crs_code: Coordinate Reference System code. Default is "EPSG:4326".
+    :type crs_code: str
+    :param name: Name identifier for the point source data. Default is "pspoint".
+    :type name: str
+    """
+
+    filepath: str
+    latitude: str
+    longitude: str
+    unit: Literal["m", "cm", "mm"] = "m"
+    crs_code: str = "EPSG:4326"
+    name: str = "pspoint"
+
+    def __post_init__(self):
+        assert self.filepath, "File path must be provided."
+        assert isinstance(self.filepath, str), "File path must be a string."
+        assert self.latitude, "Latitude field name must be provided."
+        assert isinstance(self.latitude, str), "Latitude field name must be a string."
+        assert self.longitude, "Longitude field name must be provided."
+        assert isinstance(self.longitude, str), "Longitude field name must be a string."
+        assert self.unit in ["m", "cm", "mm"], "Unit must be one of 'm', 'cm', or 'mm'."
+        assert self.crs_code, "CRS code must be provided."
+        assert isinstance(self.crs_code, str), "CRS code must be a string."
+        assert self.name, "Name must be provided."
+        assert isinstance(self.name, str), "Name must be a string."

+
+
+
+

+[docs]
+@dataclass
+class Road:
+    """Class for storing road data information.
+
+    :param filepath: Path to the road data file.
+    :type filepath: str
+    :param crs_code: Coordinate Reference System code. Default is "EPSG:4326".
+    :type crs_code: str
+    :param name: Name identifier for the road data. Default is "road".
+    :type name: str
+    """
+
+    filepath: str
+    crs_code: str = "EPSG:4326"
+    name: str = "road"
+
+    def __post_init__(self):
+        assert self.filepath, "File path must be provided."
+        assert isinstance(self.filepath, str), "File path must be a string."
+        assert self.name, "Name must be provided."
+        assert isinstance(self.name, str), "Name must be a string."

+
+
+
+

+[docs]
+class SafeRoad:
+    """
+    A class to perform road deformation analysis using MT-InSAR data.
+
+    :param road: An instance of the Road class containing road data information.
+    :type road: Road
+    :param ps_data: An instance of the PsData class containing MT-InSAR data information.
+    :type ps_data: PsData
+    :param computational_crs: A string representing the EPSG code for the computational CRS.
+    :type computational_crs: str
+    """
+
+    def __init__(self, road: Road, ps_data: PsData, computational_crs: str):
+
+        assert isinstance(road, Road), "road must be an instance of Road class"
+        assert isinstance(
+            ps_data, PsData
+        ), "ps_data must be an instance of PsData class"
+        assert isinstance(
+            computational_crs, str
+        ), "computational_crs must be a string representing the EPSG code"
+
+        self.ps_data = ps_data
+        self.road_data = road
+        self.database = DataBase()
+        # self.scaling_factor = self._set_scaling_factor_()
+        self.computational_crs = computational_crs
+
+    @property
+    def _scaling_factor_(self):
+        # determine the scaling factor based on the unit
+        units = ["m", "cm", "mm"]
+        sf = [1000, 10, 1]
+        return sf[units.index(self.ps_data.unit)]
+
+

+[docs]
+    def load_files(self):
+        """
+        Load the road and MT-InSAR data files into the database.
+        """
+
+        # setup the db if loading
+        with Timer("Setting up the database"):
+            self.database.setup()
+        # road_query
+        with Timer("Loading road data"):
+            self.database.run(
+                Pipeline.Processing.load_file(
+                    self.road_data.filepath, self.road_data.name
+                )
+            )
+        # ps_query
+        with Timer("Loading ps data"):
+            self.database.run(
+                Pipeline.Processing.load_file(self.ps_data.filepath, self.ps_data.name)
+            )

+
+
+

+[docs]
+    def preprocess(self, attribute: str = None):
+        """
+        Preprocess the road and MT-InSAR data.
+
+        This includes transforming the data to the computational CRS, dissolving road features,
+        and building geometries for the MT-InSAR points.
+        1. Transform the road and MT-InSAR data to the computational CRS.
+        2. Dissolve road features based on the provided attribute if given, otherwise merge all features.
+        3. Build geometries for the MT-InSAR points from the latitude and longitude columns.
+        4. Transform the MT-InSAR data to the computational CRS.
+
+        :param attribute: An optional string representing the attribute to dissolve road features.
+                          If None, all features will be merged. Default is None.
+        :type attribute: str, optional
+        """
+        # Transform the road projection
+        with Timer("Transforming road data to computational CRS"):
+            self.database.run(
+                Pipeline.Processing.spatial_tranformation(
+                    source_epsg=self.road_data.crs_code,
+                    target_epsg=self.computational_crs,
+                    table_name=self.road_data.name,
+                )
+            )
+
+        # Dissolve the road features based on the provided attribute if given if not merge everything
+        with Timer("Dissolving road features"):
+            self.database.run(
+                Pipeline.Processing.dissolve_features(
+                    attribute=attribute, table_name=self.road_data.name
+                )
+            )
+        # build the geometry for the psoints from csv headers
+        with Timer("Building geometry for PS data"):
+            self.database.run(
+                Pipeline.Processing.build_geometry(
+                    latitude=self.ps_data.latitude,
+                    longitude=self.ps_data.longitude,
+                    table_name=self.ps_data.name,
+                )
+            )
+
+        # Transform the ps data to the computational CRS
+        with Timer("Transforming PS data to computational CRS"):
+            self.database.run(
+                Pipeline.Processing.spatial_tranformation(
+                    source_epsg=self.ps_data.crs_code,
+                    target_epsg=self.computational_crs,
+                    table_name=self.ps_data.name,
+                )
+            )

+
+
+

+[docs]
+    def generate_rectangles(self, road_width: float, segment_length: float):
+        """
+        Generate road segments and patches.
+
+        This involves:
+        1. Splitting the road into segments of equal length.
+        2. Generating rectangles along the road segments with a specified width.
+        2. Rotating the generated rectangles int the same direction along the road.
+
+        :param road_width: A float representing the width of the road segments in meters.
+        :param segment_length: A float representing the length of each road segment in meters.
+        """
+
+        with Timer("Generating road segments and patches"):
+            self.database.run(
+                Pipeline.Processing.split_to_segments(segment_length=segment_length)
+            )
+            self.database.run(
+                Pipeline.Processing.generate_patches(
+                    width=road_width, length=segment_length
+                )
+            )

+
+
+

+[docs]
+    def run_analysis(self):
+        """
+        Run the deformation analysis on the MT-InSAR data for road network.
+
+        This includes calculating cumulative displacement, average velocity, point density,
+        local control points, and outliers.
+        """
+        # calculate displacement per points
+        # get the column names from the ps_data
+        fields = [
+            i[0]
+            for i in self.database.connection.sql(
+                Pipeline.Processing.get_column_names(self.ps_data.name)
+            ).fetchall()
+        ]
+
+        # extract dates from the column names and generate time vector
+        names, dates = extract_dates(column_names=fields)
+        date_vector = time_vector(dates=dates)
+
+        with Timer("Calculating cumulative displacement per point"):
+            self.database.run(
+                Pipeline.Processing.calc_cum_disp(
+                    dates=names, table_name=self.ps_data.name
+                )
+            )
+
+        # build spatial relation with
+        # assign points to patches generate patch_id field on pspoint table
+        with Timer("Relating points to patches"):
+            self.database.run(
+                Pipeline.Processing.relate_point_patches(self.ps_data.name)
+            )
+
+        # calculate average velocity per point needs patch_id in pspoint table for optimization purposes
+        with Timer("Calculating average velocity per point"):
+            self.database.run(
+                Pipeline.Processing.calc_avg_velocity(
+                    time_vector=date_vector,
+                    field_names=names,
+                    table_name=self.ps_data.name,
+                )
+            )
+
+        # calculate point count per patch and point density
+        with Timer("Calculating point density per patch"):
+            self.database.run(Pipeline.Processing.calc_point_density(self.ps_data.name))
+        # calculate average cumulative displacement per patch
+        with Timer("Calculating average cumulative displacement per patch"):
+            self.database.run(Pipeline.Processing.calc_avg_cum_disp())
+        # calculate average displacement time series per patch based on gcp
+        with Timer(
+            "Calculating average displacement time series per patch based on GCP"
+        ):
+            self.database.run(
+                Pipeline.Processing.calc_avg_disp_ts_gcp(date_fields=names)
+            )
+        # calculate standard deviation of displacement time series per patch based on gcp
+        with Timer(
+            "Calculating standard deviation of displacement time series per patch based on GCP"
+        ):
+            self.database.run(
+                Pipeline.Processing.calc_std_disp_ts_gcp(date_fields=names)
+            )
+
+        # calculate average velocity per patch based on gcp
+        with Timer("Calculating average velocity per patch based on GCP"):
+            self.database.run(
+                Pipeline.Processing.calc_avg_velocity_gcp(table_name=self.ps_data.name)
+            )
+
+        # calculate the local control point per patch
+        with Timer("Calculating local control points per patch"):
+            self.database.run(Pipeline.Processing.select_lcps(self.ps_data.name))
+
+        # calculate the local control point avg velocity per patch
+        with Timer("Calculating local control points average velocity per patch"):
+            self.database.run(Pipeline.Processing.calc_lcp_velocity())
+
+        # calculate the average and std of the displacement time series per patch based on lcp
+        with Timer(
+            "Calculating average and std of displacement time series per patch based on LCP"
+        ):
+            self.database.run(
+                Pipeline.Processing.calc_avg_std_disp_ts_lcp(
+                    date_fields=names, table_name=self.ps_data.name
+                )
+            )
+
+        # calculate the median and std of the displacement time series per patch based on lcp
+        with Timer(
+            "Calculating median and std of displacement time series per patch based on LCP"
+        ):
+            self.database.run(
+                Pipeline.Processing.calc_med_std_disp_ts_lcp(
+                    date_fields=names, table_name=self.ps_data.name
+                )
+            )
+
+        # calculate the average velocity per patch based on lcp
+        with Timer("Calculating average velocity per patch based on LCP"):
+            self.database.run(
+                Pipeline.Processing.calc_avg_velocity_lcp(table_name=self.ps_data.name)
+            )
+
+        # calculate the average relative velocity per patch based on lcp
+        with Timer("Calculating average relative velocity per patch based on LCP"):
+            self.database.run(
+                Pipeline.Processing.calc_avg_lcp_velocity(self.ps_data.name)
+            )
+
+        # calulate the outliers per patch based
+        with Timer("Calculating outliers per patch"):
+            self.database.run(
+                Pipeline.Processing.calc_outliers(
+                    self._scaling_factor_, self.ps_data.name
+                )
+            )
+
+            threshold_count = self.database.connection.execute(
+                "Select count(*) from outliers;"
+            ).fetchone()[0]
+            print("%s outliers detected by threshold method" % threshold_count)
+
+            self.database.run(
+                Pipeline.Processing.calc_outliers_avg_lcd(
+                    self.ps_data.name, date_vector=date_vector, date_names=names
+                )
+            )
+            ald_count = (
+                self.database.connection.execute(
+                    "Select count(*) from outliers;"
+                ).fetchone()[0]
+                - threshold_count
+            )
+            print("%s outliers detected by avg local disp method" % (ald_count))
+
+            self.database.run(
+                Pipeline.Processing.calc_outliers_med_lcd(
+                    self.ps_data.name, date_vector=date_vector, date_names=names
+                )
+            )
+            med_count = (
+                self.database.connection.execute(
+                    "select count(*) from outliers;"
+                ).fetchone()[0]
+                - ald_count
+                - threshold_count
+            )
+            print("%s outliers detected by median local disp method" % (med_count))
+
+        with Timer("Collecting and patching the LCP time series"):
+            self.database.run(
+                Pipeline.Processing.lcp_ts_patch(
+                    date_fields=names, table_name=self.ps_data.name
+                )
+            )
+        with Timer("Collecting outlier time series"):
+            self.database.run(
+                Pipeline.Processing.outlier_ts_patch(
+                    date_fields=names, table_name=self.ps_data.name
+                )
+            )
+        with Timer("collecting differential displacement time series"):
+            self.database.run(Pipeline.Processing.outlier_rel_ts_patch())

+
+
+

+[docs]
+    def generate_report(self, output_name: str):
+        """
+        Generate a PDF report containing maps and time series plots.
+
+        :param output_name: A string representing the name of the output PDF file endswith `.pdf` extension.
+        :type output_name: str
+        """
+
+        def render_ts_plots_workers(
+            patch_uid: float,
+            outliers: list[tuple],
+            dates: list[datetime],
+            outlier_center: tuple[float, float],  #
+            patch_center: tuple,
+            pspoints: list[tuple],
+            lcp_point: list[tuple],
+            cum_disp: list[tuple],
+            avg_cum_disp: list[tuple],
+            std_cum_disp: list[tuple],
+            outlier_rel_ts: list[tuple],
+            avg_lcp_disp: list[tuple],
+            std_lcp_disp: list[tuple],
+            lcp_disp: list[tuple],
+        ) -> bytes:
+
+            # plotting
+            tsplotter = Plotter.TimeSeriesPane()
+            # 0
+            tsplotter.plot_basemap_outlier(wkb_loads(outlier_center[0]).xy)
+            tsplotter.plot_all_outliers(outliers)
+            tsplotter.plot_square(wkb_loads(outlier_center[0]).xy)
+            tsplotter.plot_basemap_pspoint(wkb_loads(patch_center[0]).xy)
+            # 1
+            tsplotter.plot_pspoint_dist(pspoints)
+            tsplotter.plot_lcp(lcp_point)
+            tsplotter.plot_outlier(outliers)
+            # 2
+            tsplotter.plot_std_disp_graph(avg_cum_disp, std_cum_disp, dates)
+            tsplotter.plot_avg_disp_graph(avg_cum_disp, dates)
+            tsplotter.plot_cum_disp_graph(cum_disp, dates)
+
+            # 3
+            tsplotter.plot_std_rel_disp_graph(avg_lcp_disp, std_lcp_disp, dates)
+            tsplotter.plot_avg_rel_disp_graph(avg_lcp_disp, dates)
+            tsplotter.plot_rel_disp_graph(outlier_rel_ts, dates)
+
+            # 4
+            tsplotter.plot_std_lcp_disp_graph(avg_cum_disp, std_cum_disp, dates)
+            tsplotter.plot_avg_lcp_disp_graph(avg_cum_disp, dates)
+            tsplotter.plot_lcp_disp_graph(lcp_disp, dates)
+            tsplotter.post_process()
+
+            fig, _ = tsplotter.get_figure()
+
+            buf = io.BytesIO()
+            fig.savefig(buf, format="png")
+            plt.close(fig)
+            return buf.getvalue()
+
+        # export the results
+        with Timer("Generating and saving the report"):
+            with PdfPages(output_name) as pdf:
+                # bbox of the patches
+
+                bbox = self.database.connection.execute(
+                    Pipeline.Visualisation.get_table_bbox(
+                        "patches", self.computational_crs
+                    )
+                ).fetchall()
+                # ps density and patch geometries
+                ps_density = self.database.connection.execute(
+                    Pipeline.Visualisation.get_ps_density(self.computational_crs)
+                ).fetchall()
+                # outliers and coordinates
+                outliers = self.database.connection.execute(
+                    Pipeline.Visualisation.get_outliers_map(
+                        self.computational_crs, self._scaling_factor_
+                    )
+                ).fetchall()
+                # cumulative displacement per point
+                cum_disp = self.database.connection.execute(
+                    Pipeline.Visualisation.get_cum_disp_map(
+                        self.computational_crs, self._scaling_factor_
+                    )
+                ).fetchall()
+                # gcp average velocity per point
+                gcp_vel = self.database.connection.execute(
+                    Pipeline.Visualisation.get_ps_vel_gcp(
+                        self.computational_crs, self._scaling_factor_
+                    )
+                ).fetchall()
+                # lcp average velocity per point
+                lcp_vel = self.database.connection.execute(
+                    Pipeline.Visualisation.get_ps_vel_lcp(
+                        self.computational_crs, self._scaling_factor_
+                    )
+                ).fetchall()
+
+                # plotting the first page -- maps
+                print("Starting to render the map page")
+                map_plotter = Plotter.MapPane()
+                map_plotter.plot_basemap(bbox=bbox)
+                map_plotter.plot_ps_density(ps_density)
+                map_plotter.plot_outliers(outliers)
+                map_plotter.plot_cum_disp(cum_disp)
+                map_plotter.plot_gcp_velocity(gcp_vel)
+                map_plotter.plot_lcp_velocity(lcp_vel)
+                map_plotter.post_process()
+                fig, _ = map_plotter.get_figure()
+                plt.close(fig)
+                pdf.savefig(fig)
+                print("Map page has been rendered")
+
+                print("Intiating time series rendering")
+                # collect the patch_ids which has outliers
+                puids = [
+                    i[0]
+                    for i in self.database.connection.execute(
+                        Pipeline.Visualisation.patch_uids()
+                    ).fetchall()
+                ]
+                _, dates = extract_dates(
+                    [
+                        i[0]
+                        for i in self.database.connection.execute(
+                            Pipeline.Processing.get_column_names(self.ps_data.name)
+                        ).fetchall()
+                    ]
+                )
+                outliers_map = self.database.connection.execute(
+                    Pipeline.Visualisation.get_outliers_map(
+                        self.computational_crs, self._scaling_factor_
+                    )
+                ).fetchall()
+
+                # prepare the data for parallel processing
+                data_ready = []
+                for uid in puids:
+                    outliers = self.database.connection.execute(
+                        Pipeline.Visualisation.get_outlier_points(
+                            patch_id=uid, source_crs=self.computational_crs
+                        )
+                    ).fetchall()
+                    patch_center = self.database.connection.execute(
+                        Pipeline.Visualisation.get_patch_center(
+                            patch_id=uid, source_crs=self.computational_crs
+                        )
+                    ).fetchone()
+
+                    pspoints = self.database.connection.execute(
+                        Pipeline.Visualisation.get_ps_points(
+                            patch_id=uid,
+                            source_crs=self.computational_crs,
+                            table_name=self.ps_data.name,
+                        )
+                    ).fetchall()  # pspoints
+
+                    lcp_point = self.database.connection.execute(
+                        Pipeline.Visualisation.get_lcp_point(
+                            patch_id=uid, source_crs=self.computational_crs
+                        )
+                    ).fetchone()  # lcp point
+
+                    avg_cum_disp = self.database.connection.execute(
+                        Pipeline.Visualisation.get_avg_cum_disp_graph(
+                            patch_id=uid, scaling_factor=self._scaling_factor_
+                        )
+                    ).fetchall()  # avg_cum_disp
+
+                    std_cum_disp = self.database.connection.execute(
+                        Pipeline.Visualisation.get_std_cum_disp_graph(
+                            patch_id=uid, scaling_factor=self._scaling_factor_
+                        )
+                    ).fetchall()  # std_cum_disp
+
+                    avg_lcp_disp = self.database.connection.execute(
+                        Pipeline.Visualisation.get_avg_disp_lcp_graph(
+                            patch_id=uid, scaling_factor=self._scaling_factor_
+                        )
+                    ).fetchall()  # avg_lcp_disp
+
+                    std_lcp_disp = self.database.connection.execute(
+                        Pipeline.Visualisation.get_std_disp_lcp_graph(
+                            patch_id=uid, scaling_factor=self._scaling_factor_
+                        )
+                    ).fetchall()  # std_lcp_disp
+
+                    lcp_disp = self.database.connection.execute(
+                        Pipeline.Visualisation.get_lcp_disp_graph(
+                            patch_id=uid, scaling_factor=self._scaling_factor_
+                        )
+                    ).fetchall()  # lcp_disp
+
+                    for outlier in outliers:
+                        o_id = outlier[0]
+                        center = self.database.connection.execute(
+                            Pipeline.Visualisation.get_center(
+                                point_uid=o_id, source_crs=self.computational_crs
+                            )
+                        ).fetchone()
+                        cum_disp = self.database.connection.execute(
+                            Pipeline.Visualisation.get_cum_disp_graph(
+                                outlier_id=o_id, scaling_factor=self._scaling_factor_
+                            )
+                        ).fetchall()  # cum_disp
+
+                        outlier_rel_ts = self.database.connection.execute(
+                            Pipeline.Visualisation.get_outlier_rel_ts_graph(
+                                outlier_id=o_id, scaling_factor=self._scaling_factor_
+                            )
+                        ).fetchall()  # outlier_rel_ts
+                        data_ready.append(
+                            (
+                                uid,
+                                outliers_map,
+                                dates,
+                                center,
+                                patch_center,
+                                pspoints,
+                                lcp_point,
+                                cum_disp,
+                                avg_cum_disp,
+                                std_cum_disp,
+                                outlier_rel_ts,
+                                avg_lcp_disp,
+                                std_lcp_disp,
+                                lcp_disp,
+                            )
+                        )
+
+                print(f"Total pages to render for outliers: {len(data_ready)}")
+
+                png_pages = Parallel(n_jobs=-1, backend="loky")(
+                    delayed(render_ts_plots_workers)(
+                        patch_uid,
+                        outliers,
+                        dates,
+                        outlier_center,
+                        patch_center,
+                        pspoints,
+                        lcp_point,
+                        cum_disp,
+                        avg_cum_disp,
+                        std_cum_disp,
+                        outlier_rel_ts,
+                        avg_lcp_disp,
+                        std_lcp_disp,
+                        lcp_disp,
+                    )
+                    for (
+                        patch_uid,
+                        outliers,
+                        dates,
+                        outlier_center,
+                        patch_center,
+                        pspoints,
+                        lcp_point,
+                        cum_disp,
+                        avg_cum_disp,
+                        std_cum_disp,
+                        outlier_rel_ts,
+                        avg_lcp_disp,
+                        std_lcp_disp,
+                        lcp_disp,
+                    ) in tqdm(data_ready)
+                )
+                print("All plots rendered, now saving to pdf")
+                for png in png_pages:
+                    img = plt.imread(io.BytesIO(png), format="png")
+                    fig, ax = plt.subplots(figsize=(12, 12), dpi=80)
+                    # ax = fig.add_subplot(111)
+                    ax.imshow(img)
+                    ax.axis("off")
+                    ax.set_xticks([])
+                    ax.set_yticks([])
+                    ax.set_frame_on(False)
+                    pdf.savefig(fig)
+                    plt.close(fig)
+                print("All pages saved to pdf")

+

+
+
+ +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/docs/build/html/_modules/saferoad/utils.html b/docs/build/html/_modules/saferoad/utils.html new file mode 100644 index 0000000..d86ee4d --- /dev/null +++ b/docs/build/html/_modules/saferoad/utils.html @@ -0,0 +1,165 @@ + + + + + + + + saferoad.utils — saferoad 0.1 documentation + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +

Source code for saferoad.utils

+import re
+import time
+from datetime import datetime
+from dateutil import parser as dsparser
+from numpy import array as nparray
+
+
+

+[docs]
+def extract_dates(column_names: list[str]) -> tuple[list[str], list[datetime]]:
+    """Extracts date fields from a list of column names.
+
+    :param column_names: List of column names to search for dates.
+    :type column_names: list[str]
+    :return: A tuple containing two numpy arrays: one with the column names and another with the parsed date objects.
+    :rtype: tuple[ndarray, ndarray]
+    """
+    assert isinstance(column_names, list), "column_names must be a list of strings"
+    assert all(
+        isinstance(name, str) for name in column_names
+    ), "All items in column_names must be strings"
+    assert len(column_names) > 0, "column_names must not be empty"
+
+    nameFields: list = []
+    dateFields: list = []
+    for date in column_names:
+        dateSearch = re.search(r"\d{8}", date)
+        if dateSearch:
+            pdate: datetime = dsparser.parse(dateSearch.group(), fuzzy=True).date()
+            dateFields.append(pdate)
+            nameFields.append(date)
+    return nameFields, dateFields

+
+
+
+

+[docs]
+def time_vector(dates: list[datetime]) -> nparray:
+    """Generates a time vector in days from a list of datetime objects.
+
+    :param dates: List of datetime objects.
+    :type dates: list[datetime]
+    :return: List of time differences in days from the first date.
+    :rtype: list[float]
+    """
+    return nparray([(i - dates[0]).days for i in dates])

+
+
+
+

+[docs]
+class Timer(object):
+    """Context manager for timing code execution."""
+
+    def __init__(self, name=None):
+        self.name = name
+
+    def __enter__(self):
+        self.tstart = time.time()
+
+    def __exit__(self, type, value, traceback):
+        if self.name:
+            print("%s took %.2f seconds" % (self.name, time.time() - self.tstart))

+
+
+ +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/docs/build/html/_sources/api/modules.rst.txt b/docs/build/html/_sources/api/modules.rst.txt new file mode 100644 index 0000000..75f2a20 --- /dev/null +++ b/docs/build/html/_sources/api/modules.rst.txt @@ -0,0 +1,7 @@ +saferoad +======== + +.. toctree:: + :maxdepth: 4 + + saferoad diff --git a/docs/build/html/_sources/api/saferoad.database.rst.txt b/docs/build/html/_sources/api/saferoad.database.rst.txt new file mode 100644 index 0000000..0e0c25b --- /dev/null +++ b/docs/build/html/_sources/api/saferoad.database.rst.txt @@ -0,0 +1,7 @@ +saferoad.database module +======================== + +.. automodule:: saferoad.database + :members: + :show-inheritance: + :undoc-members: diff --git a/docs/build/html/_sources/api/saferoad.pipeline.rst.txt b/docs/build/html/_sources/api/saferoad.pipeline.rst.txt new file mode 100644 index 0000000..8973f90 --- /dev/null +++ b/docs/build/html/_sources/api/saferoad.pipeline.rst.txt @@ -0,0 +1,7 @@ +saferoad.pipeline module +======================== + +.. automodule:: saferoad.pipeline + :members: + :show-inheritance: + :undoc-members: diff --git a/docs/build/html/_sources/api/saferoad.plotter.rst.txt b/docs/build/html/_sources/api/saferoad.plotter.rst.txt new file mode 100644 index 0000000..147c4b7 --- /dev/null +++ b/docs/build/html/_sources/api/saferoad.plotter.rst.txt @@ -0,0 +1,7 @@ +saferoad.plotter module +======================= + +.. automodule:: saferoad.plotter + :members: + :show-inheritance: + :undoc-members: diff --git a/docs/build/html/_sources/api/saferoad.rst.txt b/docs/build/html/_sources/api/saferoad.rst.txt new file mode 100644 index 0000000..85870b1 --- /dev/null +++ b/docs/build/html/_sources/api/saferoad.rst.txt @@ -0,0 +1,22 @@ +saferoad package +================ + +Submodules +---------- + +.. toctree:: + :maxdepth: 4 + + saferoad.database + saferoad.pipeline + saferoad.plotter + saferoad.saferoad + saferoad.utils + +Module contents +--------------- + +.. automodule:: saferoad + :members: + :show-inheritance: + :undoc-members: diff --git a/docs/build/html/_sources/api/saferoad.saferoad.rst.txt b/docs/build/html/_sources/api/saferoad.saferoad.rst.txt new file mode 100644 index 0000000..e29e335 --- /dev/null +++ b/docs/build/html/_sources/api/saferoad.saferoad.rst.txt @@ -0,0 +1,7 @@ +saferoad.saferoad module +======================== + +.. automodule:: saferoad.saferoad + :members: + :show-inheritance: + :undoc-members: diff --git a/docs/build/html/_sources/api/saferoad.utils.rst.txt b/docs/build/html/_sources/api/saferoad.utils.rst.txt new file mode 100644 index 0000000..8c742b5 --- /dev/null +++ b/docs/build/html/_sources/api/saferoad.utils.rst.txt @@ -0,0 +1,7 @@ +saferoad.utils module +===================== + +.. automodule:: saferoad.utils + :members: + :show-inheritance: + :undoc-members: diff --git a/docs/build/html/_sources/index.rst.txt b/docs/build/html/_sources/index.rst.txt new file mode 100644 index 0000000..2f021a4 --- /dev/null +++ b/docs/build/html/_sources/index.rst.txt @@ -0,0 +1,39 @@ +.. project documentation master file, created by + sphinx-quickstart on Mon Sep 1 09:55:46 2025. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Welcome to SafeRoad's Documentation +====================================== + +**SafeRoad** is an open-source Python library designed to monitor the structural condition of the road network by providing tools for data analysis and visualisation. +It aims to assist researchers, policymakers, and developers in understanding and mitigating structural safety issues of road networks. +**SafeRoad** is built with a focus on usability, performance, and extensibility. It uses modern Python libraries such as `duckdb`_, +`shapely`_, `matplotlib`_ and `contextily`_ to provide a robust framework for road network safety analysis. + +You can access the relavant paper from `here`_. + +.. _here: https://doi.org/10.1177/14759217211045912 +.. _duckdb: https://duckdb.org/ +.. _shapely: https://shapely.readthedocs.io/en/stable/ +.. _matplotlib: https://matplotlib.org/ +.. _contextily: https://contextily.readthedocs.io/en/latest/ + +Summary +------- +SafeRoad offers a comprehensive suite of features, including: + +- Data preprocessing tools for cleaning and organizing road and Multi-Temporal dataset. +- Visualisation utilities to generate insightful charts and graphs. +- Statistical analysis methods to identify trends and patterns. +- Extensible APIs for integrating with other applications. + +The library is modular, user-friendly, and well-documented, making it suitable for both beginners and experts in the field of structural safety. + + + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + api/modules \ No newline at end of file diff --git a/docs/build/html/_static/_sphinx_javascript_frameworks_compat.js b/docs/build/html/_static/_sphinx_javascript_frameworks_compat.js new file mode 100644 index 0000000..8141580 --- /dev/null +++ b/docs/build/html/_static/_sphinx_javascript_frameworks_compat.js @@ -0,0 +1,123 @@ +/* Compatability shim for jQuery and underscores.js. + * + * Copyright Sphinx contributors + * Released under the two clause BSD licence + */ + +/** + * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL + */ +jQuery.urldecode = function(x) { + if (!x) { + return x + } + return decodeURIComponent(x.replace(/\+/g, ' ')); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. 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