Dependency

README.md

@@ -21,8 +21,8 @@ Requires [Git] and [Miniconda] (or Anaconda) with Python 3.6 or newer.
 1. Clone the repository and `cd` into it:
 
 ```sh
-git clone https://github.com/moja-global/GCBM.Visualisation_Tool
-cd GCBM.Visualisation_Tool
+git clone https://github.com/moja-global/taswira
+cd taswira
 ```
 
 2. Create a conda environment and activate it:

environment.yml

@@ -4,7 +4,7 @@ channels:
   - nodefaults
 dependencies:
   - python>=3.6
-  - numpy
+  - numpy=1.19.5
   - rasterio>=1.0
   - shapely
   - crick
@@ -15,3 +15,4 @@ dependencies:
     - pylint>=2.5.2
     - dash==1.13.3
     - dash-leaflet==0.0.19
+    - MarkupSafe==2.0.1

setup.py

@@ -30,7 +30,7 @@ def _get_version(rel_path):
     description="An interactive visualization tool for GCBM",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    url="https://github.com/moja-global/GCBM.Visualisation_Tool",
+    url="https://github.com/moja-global/taswira",
     author="moja global",
     classifiers=[
         'Development Status :: 3 - Alpha',

src/taswira/__init__.py

@@ -1,7 +1,7 @@
 """A command-line tool for visualizing GCBM output."""
 from .scripts.console import console
 
-__version__ = "0.1.0"
+__version__ = "0.1.1"
 
 
 def main():

src/taswira/scripts/ingestion.py

@@ -2,6 +2,7 @@
 import glob
 import os
 import re
+import logging
 
 import tqdm
 from terracotta import get_driver
@@ -12,7 +13,7 @@
 from .metadata import get_metadata
 
 DB_NAME = 'terracotta.sqlite'
-GCBM_RASTER_NAME_PATTERN = r'.*_(?P<year>\d{4}).tiff'
+GCBM_RASTER_NAME_PATTERN = r'.*_(?P<year>\d{4}).tif{1,2}'
 GCBM_RASTER_KEYS = ('title', 'year')
 GCBM_RASTER_KEYS_DESCRIPTION = {
     'title': 'Name of indicator',
@@ -64,10 +65,16 @@ def ingest(rasterdir, db_results, outputdir, allow_unoptimized=False):
             title = raster.get('title', raster['database_indicator'])
             year = _find_raster_year(raster['path'])
             unit = find_units(raster.get('graph_units'))
+            try:
+                indicator_value = str(metadata[title][year])
+            except KeyError:
+                # Handle missing metadata gracefully
+                logging.warning(f"Metadata for year {year} and title {title} is missing.")
+                indicator_value = "N/A"
             computed_metadata = driver.compute_metadata(
                 raster['path'],
                 extra_metadata={
-                    'indicator_value': str(metadata[title][year]),
+                    'indicator_value': indicator_value,
                     'colormap': raster.get('palette').lower(),
                     'unit': unit.value[2]
                 })