Added in read of december figures

etl/eligibility/ha_15_32/ha_analysis_batch_3.py

@@ -47,11 +47,13 @@ class DataLoader:
         "HA107": 52
     }
 
-    def __init__(self, directories, use_cache):
+    def __init__(self, directories, december_figures_filepath, use_cache):
         self.directories = directories
         self.use_cache = use_cache
+        self.december_figures_filepath = december_figures_filepath
 
         self.data = {}
+        self.december_figures = None
 
     def create_asset_list_matching_address(self, ha_name, asset_list):
 
@@ -730,6 +732,11 @@ class DataLoader:
             )
             return
 
+        # Get the december figures, which is just a csv
+        self.december_figures = pd.read_csv(self.december_figures_filepath)
+        # Remove the spaces in HA Name
+        self.december_figures["HA Name"] = december_figures["HA Name"].str.replace(" ", "")
+
         data = {}
         for filepath in self.directories:
             ha_name = filepath.split("/")[2]
@@ -763,9 +770,43 @@ class DataLoader:
         """
         ha_facts_and_figures = []
         for ha_name, data_assets in self.data.items():
-            asset_list = data_assets["asset_list"]
-            survey_list = data_assets["survey_list"]
-            ciga_list = data_assets["ciga_list"]
+            asset_list = data_assets["asset_list"].copy()
+            survey_list = data_assets["survey_list"].copy()
+            ciga_list = data_assets["ciga_list"].copy()
+
+            asset_list["ECO Eligibility"].value_counts()
+
+            # We merge on ciga and update the status to reflect if it has failed ciga or not
+            # If Guarantee is Yes, this means that there is a guarantee in place, and the property failed the CIGA
+            # check
+            asset_list = asset_list.merge(
+                ciga_list[["asset_list_row_id", "Guarantee"]],
+                how='left',
+                on="asset_list_row_id"
+            )
+
+            asset_list["ECO Eligibility"].value_counts()
+
+            asset_list["ECO Eligibility"] = np.where(
+                (
+                    asset_list["ECO Eligibility"].str.contains("(Subject to CIGA)", regex=False) &
+                    (asset_list["Guarantee"] == "Yes")
+                ),
+                "Failed CIGA",
+                asset_list["ECO Eligibility"]
+            )
+
+            # We replace any remaining "Subject to CIGA" with pass Ciga
+            asset_list["ECO Eligibility"] = np.where(
+                asset_list["ECO Eligibility"].str.contains("Subject to CIGA", regex=False),
+                "Pass CIGA",
+                asset_list["ECO Eligibility"]
+            )
+
+            asset_list = asset_list.drop(columns=["Guarantee"])
+
+            # Update the asset list with the categorisations
+            self.data[ha_name]["asset_list"] = asset_list
 
         return ha_facts_and_figures
 
@@ -1532,16 +1573,18 @@ def app():
     :return:
     """
 
-    use_cache = False
+    use_cache = True
 
     # List all of the data in the folder
     directories = [str(list(entry.iterdir())[0]) for entry in DATA_FOLDER.iterdir() if entry.is_dir()]
+    # Grab the December HA figures filepath
+    december_figures_filepath = "local_data/ha_data/HA_December_figures.csv"
 
     priority_has = ["HA1", "HA6", "HA14", "HA39", "HA107"]
     # Filter down the directories to only the priority HAs
     directories = [d for d in directories if d.split("/")[2] in priority_has]
 
-    loader = DataLoader(directories, use_cache)
+    loader = DataLoader(directories, december_figures_filepath, use_cache)
     loader.load()
     loader.ha_facts_and_figures()