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Merge pull request #39 from sdsc-ordes/fix/nofail-on-missing-ext-resource
Browse files- src/maps/obs_map.py +60 -7
- tests/test_obs_map.py +65 -0
src/maps/obs_map.py
CHANGED
@@ -3,6 +3,10 @@ import logging
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import pandas as pd
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from datasets import load_dataset
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import streamlit as st
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import folium
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from streamlit_folium import st_folium
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@@ -62,6 +66,13 @@ _colors = [
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whale2color = {k: v for k, v in zip(viewer.WHALE_CLASSES, _colors)}
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def create_map(tile_name:str, location:Tuple[float], zoom_start: int = 7) -> folium.Map:
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"""
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Create a folium map with the specified tile layer
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@@ -113,6 +124,43 @@ def create_map(tile_name:str, location:Tuple[float], zoom_start: int = 7) -> fol
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#folium.LayerControl().add_to(m)
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return m
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def present_obs_map(dataset_id:str = "Saving-Willy/Happywhale-kaggle",
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@@ -139,14 +187,19 @@ def present_obs_map(dataset_id:str = "Saving-Willy/Happywhale-kaggle",
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"""
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# load/download data from huggingface dataset
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metadata =
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if dbg_show_extra:
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# add a few samples to visualise colours
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_df.loc[len(_df)] = {'lat': 0, 'lon': 0, 'species': 'rough_toothed_dolphin'}
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import pandas as pd
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from datasets import load_dataset
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from datasets import DatasetDict, Dataset
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import time
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import streamlit as st
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import folium
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from streamlit_folium import st_folium
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whale2color = {k: v for k, v in zip(viewer.WHALE_CLASSES, _colors)}
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presentation_data_schema = {
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'lat': 'float',
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'lon': 'float',
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'species': 'str',
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}
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def create_map(tile_name:str, location:Tuple[float], zoom_start: int = 7) -> folium.Map:
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"""
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Create a folium map with the specified tile layer
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#folium.LayerControl().add_to(m)
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return m
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def try_download_dataset(dataset_id:str, data_files:str) -> dict:
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"""
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Attempts to download a dataset from Hugging Face, catching any errors that occur.
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Args:
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dataset_id (str): The ID of the dataset to download.
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data_files (str): The data files associated with the dataset.
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Returns:
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dict: A dictionary containing the dataset metadata if the download is successful,
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or an empty dictionary if an error occurs.
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"""
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m_logger.info(f"Starting to download dataset {dataset_id} from Hugging Face")
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t1 = time.time()
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try:
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metadata:DatasetDict = load_dataset(dataset_id, data_files=data_files)
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t2 = time.time(); elap = t2 - t1
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except ValueError as e:
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t2 = time.time(); elap = t2 - t1
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msg = f"Error downloading dataset: {e}. (after {elap:.2f}s)."
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st.error(msg)
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m_logger.error(msg)
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metadata = {}
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except Exception as e:
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# catch all (other) exceptions and log them, handle them once isolated
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t2 = time.time(); elap = t2 - t1
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msg = f"!!Unknown Error!! downloading dataset: {e}. (after {elap:.2f}s)."
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st.error(msg)
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m_logger.error(msg)
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metadata = {}
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msg = f"Downloaded dataset: (after {elap:.2f}s). "
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m_logger.info(msg)
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st.write(msg)
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return metadata
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def present_obs_map(dataset_id:str = "Saving-Willy/Happywhale-kaggle",
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"""
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# load/download data from huggingface dataset
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metadata = try_download_dataset(dataset_id, data_files)
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if not metadata:
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# create an empty, but compliant dataframe
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_df = pd.DataFrame(columns=presentation_data_schema).astype(presentation_data_schema)
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else:
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# make a pandas df that is compliant with folium/streamlit maps
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_df = pd.DataFrame({
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'lat': metadata["train"]["latitude"],
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'lon': metadata["train"]["longitude"],
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'species': metadata["train"]["predicted_class"],}
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)
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if dbg_show_extra:
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# add a few samples to visualise colours
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_df.loc[len(_df)] = {'lat': 0, 'lon': 0, 'species': 'rough_toothed_dolphin'}
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tests/test_obs_map.py
ADDED
@@ -0,0 +1,65 @@
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import pytest
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from unittest.mock import patch, MagicMock
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from maps.obs_map import try_download_dataset
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# tests for try_download_dataset
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# - the main aim here is to mock the function load_dataset which makes external HTTP requests,
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# and follow the successful and failing pathways.
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# - tests templates generated with copilot, they test the text/messages too; the core
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# is the return value, which should have similar form but change according to if an exception was raised or not
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# since this function uses st and m_logger to keep track of the download status, we need to mock them too
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@patch('maps.obs_map.load_dataset')
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@patch('maps.obs_map.st')
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@patch('maps.obs_map.m_logger')
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def test_try_download_dataset_success(mock_logger, mock_st, mock_load_dataset):
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# Mock the return value of load_dataset
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mock_load_dataset.return_value = {'train': {'latitude': [1], 'longitude': [2], 'predicted_class': ['whale']}}
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dataset_id = "test_dataset"
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data_files = "test_file"
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result = try_download_dataset(dataset_id, data_files)
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# Assertions
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mock_logger.info.assert_any_call(f"Starting to download dataset {dataset_id} from Hugging Face")
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mock_load_dataset.assert_called_once_with(dataset_id, data_files=data_files)
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assert result == {'train': {'latitude': [1], 'longitude': [2], 'predicted_class': ['whale']}}
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mock_logger.info.assert_called_with("Downloaded dataset: (after 0.00s). ")
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mock_st.write.assert_called_with("Downloaded dataset: (after 0.00s). ")
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@patch('maps.obs_map.load_dataset', side_effect=ValueError("Download failed"))
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@patch('maps.obs_map.st')
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@patch('maps.obs_map.m_logger')
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def test_try_download_dataset_failure_known(mock_logger, mock_st, mock_load_dataset):
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# testing the case where we've found (can reproduce by removing network connection)
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dataset_id = "test_dataset"
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data_files = "test_file"
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result = try_download_dataset(dataset_id, data_files)
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# Assertions
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mock_logger.info.assert_any_call(f"Starting to download dataset {dataset_id} from Hugging Face")
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mock_load_dataset.assert_called_once_with(dataset_id, data_files=data_files)
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mock_logger.error.assert_called_with("Error downloading dataset: Download failed. (after 0.00s).")
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mock_st.error.assert_called_with("Error downloading dataset: Download failed. (after 0.00s).")
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assert result == {}
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mock_logger.info.assert_called_with("Downloaded dataset: (after 0.00s). ")
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mock_st.write.assert_called_with("Downloaded dataset: (after 0.00s). ")
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@patch('maps.obs_map.load_dataset', side_effect=Exception("Download engine corrupt"))
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@patch('maps.obs_map.st')
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@patch('maps.obs_map.m_logger')
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def test_try_download_dataset_failure_unknown(mock_logger, mock_st, mock_load_dataset):
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# the cases we haven't found, but should still be handled (maybe network error, etc)
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dataset_id = "test_dataset"
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data_files = "test_file"
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result = try_download_dataset(dataset_id, data_files)
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# Assertions
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mock_logger.info.assert_any_call(f"Starting to download dataset {dataset_id} from Hugging Face")
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mock_load_dataset.assert_called_once_with(dataset_id, data_files=data_files)
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mock_logger.error.assert_called_with("!!Unknown Error!! downloading dataset: Download engine corrupt. (after 0.00s).")
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mock_st.error.assert_called_with("!!Unknown Error!! downloading dataset: Download engine corrupt. (after 0.00s).")
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assert result == {}
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mock_logger.info.assert_called_with("Downloaded dataset: (after 0.00s). ")
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mock_st.write.assert_called_with("Downloaded dataset: (after 0.00s). ")
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