Bug fix for lat lon

README.md

@@ -11,13 +11,14 @@ For full dashboard functionality, upload a CSV or XLS file with the following co
 - `View`: View of the sample (eg., 'ventral' or 'dorsal' for butterflies).
 - `Sex`: Sex of each sample.
 - `hybrid_stat`: Hybrid status of each sample (eg., 'valid_subspecies', 'subspecies_synonym', or 'unknown').
-- `lat`*: Latitude at which image was taken or specimen was collected.
-- `lon`*: Longitude at which image was taken or specimen was collected.
+- `lat`*: Latitude at which image was taken or specimen was collected: number in [-90,90].
+- `lon`*:  Longitude at which image was taken or specimen was collected: number in [-180,180].
 - `file_url`*: URL to access file.
 
 ***Note:** 
-- `lat` and `lon` columns are not required to utilize the dashboard, but there will be no map view if they are not included.
+- `lat` and `lon` columns are not required to utilize the dashboard, but there will be no map view if they are not included. Blank (or null) entries are recorded as `unknown`, and thus excluded from map view.
 - `Image_filename` and `file_url` are not required, but there will be no sample images option if either one is not included.
+- `locality` may be provided, otherwise it will take on the value `lat|lon` or `unknown` if these are not provided.
 
 ## Running Dashboard
 

components/divs.py

@@ -22,6 +22,10 @@
                 {'label': 'Locality', 'value': 'locality'}
                 ]
 DOCS_URL = "https://github.com/Imageomics/dashboard-prototype#how-it-works"
+DOCS_LINK = html.A("documentation",
+                    href=DOCS_URL,
+                    target='_blank',
+                    style = ERROR_STYLE)
 
 def get_hist_div(mapping):
     '''
@@ -303,20 +307,24 @@ def get_error_div(error_dict):
                             html.H3("Source data does not have '" + feature + "' column. ",
                                     style = ERROR_STYLE),
                             html.H4(["Please see the ",
-                                        html.A("documentation",
-                                                href=DOCS_URL,
-                                                target='_blank',
-                                                style = ERROR_STYLE),
+                                        DOCS_LINK,
                                         " for list of required columns."], 
                                         style = ERROR_STYLE)
                         ])
+    elif 'mapping' in error_dict.keys():
+        error_msg = error_dict['mapping']
+        error_div = html.Div([
+                            html.H4("Latitude or longitude columns have non-numeric values: " + error_msg + ".",
+                                     style = ERROR_STYLE),
+                            html.H4(["Please see the ",
+                                     DOCS_LINK,
+                                     "."],
+                            style = ERROR_STYLE)
+        ])
     elif 'type' in error_dict.keys():
         error_div = html.Div([
                             html.H4(["The source file is not a valid CSV format, please see the ",
-                                     html.A("documentation", 
-                                            href=DOCS_URL,
-                                            target='_blank',
-                                            style = ERROR_STYLE),
+                                     DOCS_LINK,
                                      "."],
                             style = ERROR_STYLE)
         ])

dashboard.py

@@ -1,4 +1,5 @@
 import pandas as pd
+import numpy as np
 import base64
 import io
 import json
@@ -97,6 +98,18 @@ def parse_contents(contents, filename):
         else:
             included_features.append(feature)
 
+    # Check for lat/lon bounds & type if columns exist
+    if mapping:
+        try:
+            # Check lat and lon within appropriate ranges (lat: [-90, 90], lon: [-180, 180])
+            valid_lat = df['lat'].astype(float).between(-90, 90)
+            df.loc[~valid_lat, 'lat'] = 'unknown'
+            valid_lon = df['lon'].astype(float).between(-180, 180)
+            df.loc[~valid_lon, 'lon'] = 'unknown'
+        except ValueError as e:
+            print(e)
+            return json.dumps({'error': {'mapping': str(e)}})
+
     # get dataset-determined static data:
         # the dataframe and categorical features - processed for map view if mapping is True
         # all possible species, subspecies

test_data/HCGSD_test_latLonOOB.csv

@@ -0,0 +1,11 @@
+NHM_Specimen,Image_filename,View,Species,Subspecies,Sex,addit_taxa_info,type_stat,hybrid_stat,in_reduced,locality,lat,lon,speciesdesig,file_url
+10429021,10429021_V_lowres.png,,erato,notabilis,,f._notabilis,,subspecies synonym,1,,-1.583333333,-77.75,e. notabilis,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10428972,10428972_V_lowres.png,ventral,erato,petiverana,male,petiverana,,valid subspecies,1,Songolica (= Zongolica) MEX VC,18.66666667,-96.98333333,e. petiverana,
+10429172,,ventral,,petiverana,male,petiverana,,valid subspecies,1,San Ramon NIC ZE,92,-84.68333333,e. petiverana,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10428595,10428595_D_lowres.png,dorsal,erato,phyllis,male,f._phyllis,,subspecies synonym,1,Resistencia ARG CH,-27.45,-58.98333333,e. phyllis,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/dorsal_images/
+10428140,10428140_V_lowres.png,ventral,,plesseni,male,plesseni,,valid subspecies,1,Banos ECD TU,-1.4,-740,m. plesseni,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10428250,10428250_V_lowres.png,ventral,melpomene,,male,ab._rubra,,subspecies synonym,1,Caradoc (Hda) PER CU,-13.36666667,-70.95,m. schunkei,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10427979,,dorsal,melpomene,rosina_S,male,rosina_S,,valid subspecies,1,Turrialba CRI CA,9.883333333,-83.63333333,m. rosina,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/dorsal_images/
+10428803,10428803_D_lowres.png,dorsal,erato,guarica,female,guarica,,valid subspecies,1,Fusagasuga COL CN,4.35,-74.36666667,e. guarica,
+10428169,10428169_V_lowres.png,ventral,melpomene,plesseni,male,f._pura,ST,subspecies synonym,1,Canelos ECD PA,-1.583333333,730,m. plesseni,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10428321,10428321_D_lowres.png,,melpomene,nanna,male,nanna,ST,valid subspecies,1,Espirito Santo BRA ES,-20.33333333,-40.28333333,m. nanna,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/dorsal_images/

test_data/HCGSD_test_nonnumeric.csv

@@ -0,0 +1,11 @@
+NHM_Specimen,Image_filename,View,Species,Subspecies,Sex,addit_taxa_info,type_stat,hybrid_stat,in_reduced,locality,lat,lon,speciesdesig,file_url
+10429021,10429021_V_lowres.png,,erato,notabilis,,f._notabilis,,subspecies synonym,1,,-1.583333333,-77.75,e. notabilis,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10428972,10428972_V_lowres.png,ventral,erato,petiverana,male,petiverana,,valid subspecies,1,Songolica (= Zongolica) MEX VC,18.66666667,,e. petiverana,
+10429172,,ventral,,petiverana,male,petiverana,,valid subspecies,1,San Ramon NIC ZE,92,-84.68333333,e. petiverana,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10428595,10428595_D_lowres.png,dorsal,erato,phyllis,male,f._phyllis,,subspecies synonym,1,Resistencia ARG CH,-27.45,-58.98333333,e. phyllis,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/dorsal_images/
+10428140,10428140_V_lowres.png,ventral,,plesseni,male,plesseni,,valid subspecies,1,Banos ECD TU,,Non numeric,m. plesseni,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10428250,10428250_V_lowres.png,ventral,melpomene,,male,ab._rubra,,subspecies synonym,1,Caradoc (Hda) PER CU,-13.36666667,-70.95,m. schunkei,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10427979,,dorsal,melpomene,rosina_S,male,rosina_S,,valid subspecies,1,Turrialba CRI CA,Non numeric,-83.63333333,m. rosina,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/dorsal_images/
+10428803,10428803_D_lowres.png,dorsal,erato,guarica,female,guarica,,valid subspecies,1,Fusagasuga COL CN,4.35,-74.36666667,e. guarica,
+10428169,10428169_V_lowres.png,ventral,melpomene,plesseni,male,f._pura,ST,subspecies synonym,1,Canelos ECD PA,-1.583333333,,m. plesseni,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/ventral_images/
+10428321,10428321_D_lowres.png,,melpomene,nanna,male,nanna,ST,valid subspecies,1,Espirito Santo BRA ES,-20.33333333,-40.28333333,m. nanna,https://github.com/Imageomics/dashboard-prototype/raw/main/test_data/images/dorsal_images/

tests/test_filters.py

@@ -57,6 +57,15 @@ def generate_mock_upload(filepath):
             "expected_mapping": False,
             "expected_images": True
         },
+        {   # Check with full columns expected, but lat/lon out of bounds (1 lat and 2 lon)
+            "filepath": "test_data/HCGSD_test_latLonOOB.csv",
+            "filename": "HCGSD_test_latLonOOB.csv",
+            "expected_columns": ['Species', 'Subspecies', 'View', 'Sex', 'hybrid_stat', 'lat', 'lon', 
+                                    'file_url', 'Image_filename', 'locality', 'lat-lon', 
+                                    'Samples_at_locality', 'Species_at_locality', 'Subspecies_at_locality'],
+            "expected_mapping": True,
+            "expected_images": True
+        },
 ]
 
 def test_parse_contents():
@@ -70,3 +79,7 @@ def test_parse_contents():
         assert list(dff.columns) == case['expected_columns']
         assert output['mapping'] == case['expected_mapping']
         assert output['images'] == case['expected_images']
+
+        if case['filename'] == "HCGSD_test_latLonOOB.csv":
+            assert len(dff.loc[dff.lat == 'unknown']) == 1
+            assert len(dff.loc[dff.lon == 'unknown']) == 2