Spaces:
Sleeping
Sleeping
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
|
|
| 3 |
|
| 4 |
import pandas as pd
|
| 5 |
from datasets import load_dataset
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
import streamlit as st
|
| 7 |
import folium
|
| 8 |
from streamlit_folium import st_folium
|
|
@@ -62,6 +66,13 @@ _colors = [
|
|
| 62 |
|
| 63 |
whale2color = {k: v for k, v in zip(viewer.WHALE_CLASSES, _colors)}
|
| 64 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 65 |
def create_map(tile_name:str, location:Tuple[float], zoom_start: int = 7) -> folium.Map:
|
| 66 |
"""
|
| 67 |
Create a folium map with the specified tile layer
|
|
@@ -113,6 +124,43 @@ def create_map(tile_name:str, location:Tuple[float], zoom_start: int = 7) -> fol
|
|
| 113 |
#folium.LayerControl().add_to(m)
|
| 114 |
return m
|
| 115 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 116 |
|
| 117 |
|
| 118 |
def present_obs_map(dataset_id:str = "Saving-Willy/Happywhale-kaggle",
|
|
@@ -139,14 +187,19 @@ def present_obs_map(dataset_id:str = "Saving-Willy/Happywhale-kaggle",
|
|
| 139 |
"""
|
| 140 |
|
| 141 |
# load/download data from huggingface dataset
|
| 142 |
-
metadata =
|
| 143 |
|
| 144 |
-
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
|
| 148 |
-
|
| 149 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 150 |
if dbg_show_extra:
|
| 151 |
# add a few samples to visualise colours
|
| 152 |
_df.loc[len(_df)] = {'lat': 0, 'lon': 0, 'species': 'rough_toothed_dolphin'}
|
|
|
|
| 3 |
|
| 4 |
import pandas as pd
|
| 5 |
from datasets import load_dataset
|
| 6 |
+
from datasets import DatasetDict, Dataset
|
| 7 |
+
|
| 8 |
+
import time
|
| 9 |
+
|
| 10 |
import streamlit as st
|
| 11 |
import folium
|
| 12 |
from streamlit_folium import st_folium
|
|
|
|
| 66 |
|
| 67 |
whale2color = {k: v for k, v in zip(viewer.WHALE_CLASSES, _colors)}
|
| 68 |
|
| 69 |
+
presentation_data_schema = {
|
| 70 |
+
'lat': 'float',
|
| 71 |
+
'lon': 'float',
|
| 72 |
+
'species': 'str',
|
| 73 |
+
}
|
| 74 |
+
|
| 75 |
+
|
| 76 |
def create_map(tile_name:str, location:Tuple[float], zoom_start: int = 7) -> folium.Map:
|
| 77 |
"""
|
| 78 |
Create a folium map with the specified tile layer
|
|
|
|
| 124 |
#folium.LayerControl().add_to(m)
|
| 125 |
return m
|
| 126 |
|
| 127 |
+
def try_download_dataset(dataset_id:str, data_files:str) -> dict:
|
| 128 |
+
"""
|
| 129 |
+
Attempts to download a dataset from Hugging Face, catching any errors that occur.
|
| 130 |
+
|
| 131 |
+
Args:
|
| 132 |
+
dataset_id (str): The ID of the dataset to download.
|
| 133 |
+
data_files (str): The data files associated with the dataset.
|
| 134 |
+
Returns:
|
| 135 |
+
dict: A dictionary containing the dataset metadata if the download is successful,
|
| 136 |
+
or an empty dictionary if an error occurs.
|
| 137 |
+
|
| 138 |
+
"""
|
| 139 |
+
|
| 140 |
+
m_logger.info(f"Starting to download dataset {dataset_id} from Hugging Face")
|
| 141 |
+
t1 = time.time()
|
| 142 |
+
try:
|
| 143 |
+
metadata:DatasetDict = load_dataset(dataset_id, data_files=data_files)
|
| 144 |
+
t2 = time.time(); elap = t2 - t1
|
| 145 |
+
except ValueError as e:
|
| 146 |
+
t2 = time.time(); elap = t2 - t1
|
| 147 |
+
msg = f"Error downloading dataset: {e}. (after {elap:.2f}s)."
|
| 148 |
+
st.error(msg)
|
| 149 |
+
m_logger.error(msg)
|
| 150 |
+
metadata = {}
|
| 151 |
+
except Exception as e:
|
| 152 |
+
# catch all (other) exceptions and log them, handle them once isolated
|
| 153 |
+
t2 = time.time(); elap = t2 - t1
|
| 154 |
+
msg = f"!!Unknown Error!! downloading dataset: {e}. (after {elap:.2f}s)."
|
| 155 |
+
st.error(msg)
|
| 156 |
+
m_logger.error(msg)
|
| 157 |
+
metadata = {}
|
| 158 |
+
|
| 159 |
+
|
| 160 |
+
msg = f"Downloaded dataset: (after {elap:.2f}s). "
|
| 161 |
+
m_logger.info(msg)
|
| 162 |
+
st.write(msg)
|
| 163 |
+
return metadata
|
| 164 |
|
| 165 |
|
| 166 |
def present_obs_map(dataset_id:str = "Saving-Willy/Happywhale-kaggle",
|
|
|
|
| 187 |
"""
|
| 188 |
|
| 189 |
# load/download data from huggingface dataset
|
| 190 |
+
metadata = try_download_dataset(dataset_id, data_files)
|
| 191 |
|
| 192 |
+
if not metadata:
|
| 193 |
+
# create an empty, but compliant dataframe
|
| 194 |
+
_df = pd.DataFrame(columns=presentation_data_schema).astype(presentation_data_schema)
|
| 195 |
+
else:
|
| 196 |
+
# make a pandas df that is compliant with folium/streamlit maps
|
| 197 |
+
_df = pd.DataFrame({
|
| 198 |
+
'lat': metadata["train"]["latitude"],
|
| 199 |
+
'lon': metadata["train"]["longitude"],
|
| 200 |
+
'species': metadata["train"]["predicted_class"],}
|
| 201 |
+
)
|
| 202 |
+
|
| 203 |
if dbg_show_extra:
|
| 204 |
# add a few samples to visualise colours
|
| 205 |
_df.loc[len(_df)] = {'lat': 0, 'lon': 0, 'species': 'rough_toothed_dolphin'}
|
tests/test_obs_map.py
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import pytest
|
| 2 |
+
from unittest.mock import patch, MagicMock
|
| 3 |
+
from maps.obs_map import try_download_dataset
|
| 4 |
+
|
| 5 |
+
# tests for try_download_dataset
|
| 6 |
+
# - the main aim here is to mock the function load_dataset which makes external HTTP requests,
|
| 7 |
+
# and follow the successful and failing pathways.
|
| 8 |
+
# - tests templates generated with copilot, they test the text/messages too; the core
|
| 9 |
+
# is the return value, which should have similar form but change according to if an exception was raised or not
|
| 10 |
+
# since this function uses st and m_logger to keep track of the download status, we need to mock them too
|
| 11 |
+
|
| 12 |
+
@patch('maps.obs_map.load_dataset')
|
| 13 |
+
@patch('maps.obs_map.st')
|
| 14 |
+
@patch('maps.obs_map.m_logger')
|
| 15 |
+
def test_try_download_dataset_success(mock_logger, mock_st, mock_load_dataset):
|
| 16 |
+
# Mock the return value of load_dataset
|
| 17 |
+
mock_load_dataset.return_value = {'train': {'latitude': [1], 'longitude': [2], 'predicted_class': ['whale']}}
|
| 18 |
+
|
| 19 |
+
dataset_id = "test_dataset"
|
| 20 |
+
data_files = "test_file"
|
| 21 |
+
result = try_download_dataset(dataset_id, data_files)
|
| 22 |
+
|
| 23 |
+
# Assertions
|
| 24 |
+
mock_logger.info.assert_any_call(f"Starting to download dataset {dataset_id} from Hugging Face")
|
| 25 |
+
mock_load_dataset.assert_called_once_with(dataset_id, data_files=data_files)
|
| 26 |
+
assert result == {'train': {'latitude': [1], 'longitude': [2], 'predicted_class': ['whale']}}
|
| 27 |
+
mock_logger.info.assert_called_with("Downloaded dataset: (after 0.00s). ")
|
| 28 |
+
mock_st.write.assert_called_with("Downloaded dataset: (after 0.00s). ")
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
@patch('maps.obs_map.load_dataset', side_effect=ValueError("Download failed"))
|
| 32 |
+
@patch('maps.obs_map.st')
|
| 33 |
+
@patch('maps.obs_map.m_logger')
|
| 34 |
+
def test_try_download_dataset_failure_known(mock_logger, mock_st, mock_load_dataset):
|
| 35 |
+
# testing the case where we've found (can reproduce by removing network connection)
|
| 36 |
+
dataset_id = "test_dataset"
|
| 37 |
+
data_files = "test_file"
|
| 38 |
+
result = try_download_dataset(dataset_id, data_files)
|
| 39 |
+
|
| 40 |
+
# Assertions
|
| 41 |
+
mock_logger.info.assert_any_call(f"Starting to download dataset {dataset_id} from Hugging Face")
|
| 42 |
+
mock_load_dataset.assert_called_once_with(dataset_id, data_files=data_files)
|
| 43 |
+
mock_logger.error.assert_called_with("Error downloading dataset: Download failed. (after 0.00s).")
|
| 44 |
+
mock_st.error.assert_called_with("Error downloading dataset: Download failed. (after 0.00s).")
|
| 45 |
+
assert result == {}
|
| 46 |
+
mock_logger.info.assert_called_with("Downloaded dataset: (after 0.00s). ")
|
| 47 |
+
mock_st.write.assert_called_with("Downloaded dataset: (after 0.00s). ")
|
| 48 |
+
|
| 49 |
+
@patch('maps.obs_map.load_dataset', side_effect=Exception("Download engine corrupt"))
|
| 50 |
+
@patch('maps.obs_map.st')
|
| 51 |
+
@patch('maps.obs_map.m_logger')
|
| 52 |
+
def test_try_download_dataset_failure_unknown(mock_logger, mock_st, mock_load_dataset):
|
| 53 |
+
# the cases we haven't found, but should still be handled (maybe network error, etc)
|
| 54 |
+
dataset_id = "test_dataset"
|
| 55 |
+
data_files = "test_file"
|
| 56 |
+
result = try_download_dataset(dataset_id, data_files)
|
| 57 |
+
|
| 58 |
+
# Assertions
|
| 59 |
+
mock_logger.info.assert_any_call(f"Starting to download dataset {dataset_id} from Hugging Face")
|
| 60 |
+
mock_load_dataset.assert_called_once_with(dataset_id, data_files=data_files)
|
| 61 |
+
mock_logger.error.assert_called_with("!!Unknown Error!! downloading dataset: Download engine corrupt. (after 0.00s).")
|
| 62 |
+
mock_st.error.assert_called_with("!!Unknown Error!! downloading dataset: Download engine corrupt. (after 0.00s).")
|
| 63 |
+
assert result == {}
|
| 64 |
+
mock_logger.info.assert_called_with("Downloaded dataset: (after 0.00s). ")
|
| 65 |
+
mock_st.write.assert_called_with("Downloaded dataset: (after 0.00s). ")
|