fix city script

vkoves · Jan 17, 2024 · 0ef3afe · 0ef3afe
1 parent ca06b2c
commit 0ef3afe
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Showing 2 changed files with 26 additions and 32 deletions.
diff --git a/src/constants/buildings-custom-info.constant.vue b/src/constants/buildings-custom-info.constant.vue
@@ -1315,10 +1315,10 @@ export const BuildingsCustomInfo: { [buildingSlug: string]: IBuildingCustomInfo
    * City of Chicago
    * Helpful source: https://www.chicago.gov/city/en/depts/dcd/supp_info/city-owned_land_inventory.html
    */
+  // 400 W Superior St
+  '103812': { owner: BuildingOwners.cityofchicago.key },
   // Chicago Indoor Sports
   '120015': { owner: BuildingOwners.cityofchicago.key },
-  // Damen Marketplace
-  '254152': { owner: BuildingOwners.cityofchicago.key },
   // City Hall
   '250115': { owner: BuildingOwners.cityofchicago.key },
   // Harold Washington Library
@@ -1329,14 +1329,12 @@ export const BuildingsCustomInfo: { [buildingSlug: string]: IBuildingCustomInfo
   '250058': { owner: BuildingOwners.cityofchicago.key },
   // Sulzer Library
   '250065': { owner: BuildingOwners.cityofchicago.key },
-  // Lake Village East Apartments
-  '252070': { owner: BuildingOwners.cityofchicago.key },
-  // // Museum of Science and Industry
-  // '102460': { owner: BuildingOwners.cityofchicago.key },
+  // 1533 W.Warren Blvd
+  '256759': { owner: BuildingOwners.cityofchicago.key },
   // Englewood Health Center
   '250057': { owner: BuildingOwners.cityofchicago.key },
-  // // Gallery 37
-  // '250063': { owner: BuildingOwners.cityofchicago.key },
+  // Gallery 37
+  '250063': { owner: BuildingOwners.cityofchicago.key },
   // CDOT Central Office
   '250066': { owner: BuildingOwners.cityofchicago.key },
 };

diff --git a/src/data/scripts/find_city_buildings.py b/src/data/scripts/find_city_buildings.py
@@ -1,6 +1,6 @@
 import csv
 
-found = []
+found = set()
 
 # Read through an export of the City of Chicago Land Inventory, filtering to only buildings with
 # the status 'Owned by City' and Managing Organization = 'AIS'
@@ -14,34 +14,30 @@ def clean_address(address):
     return address.lower().strip().replace(" ", "").replace(".", "")
 
 def find_addresses():
+    benchmark_buildings = {}
     with open('src/data/source/City-Owned_Land_Inventory.csv') as source_file:
         city_file = csv.DictReader(source_file)
         MAIN_FILE_ADDRESS_INDEX = 4
         MAIN_FILE_ID_INDEX = 1
 
-        with open('src/data/source/ChicagoEnergyBenchmarking.csv', newline='') as all_data:
-            whole_file = all_data.read().splitlines()
-            for i, line in enumerate(city_file):
-                if line["Address"].strip() == "" or line["Property Status"] != "Owned by City":
-                    continue
-
-                for j, whole_file_line in enumerate(whole_file):
-                    print(i, j)
-                    address = whole_file_line.split(",")[MAIN_FILE_ADDRESS_INDEX]
-
-                    # Only include buildings that are owned AND managed by the city. Some buildings
-                    # are on land that appears to be owned by the city from their inventory
-                    if clean_address(line["Address"]) == clean_address(address) and line["Managing Organization"] == "AIS":
-                        found.append(whole_file_line.split(",")[MAIN_FILE_ID_INDEX])
-                        break
-
-                if i%50 == 49:
-                    with open("temp.txt", "w") as f:
-                        f.write(str(len(found)))
-                        f.write("/n")
-                        f.write(", ".join(found))
-
-            print("found addresses: ", found.__str__(), len(found))
+        for i, line in enumerate(city_file):
+            if line["Property Status"] == "Owned by City" and line["Managing Organization"] == "AIS":
+                benchmark_buildings[clean_address(line["Address"])] = 0 
+
+    with open('src/data/source/ChicagoEnergyBenchmarking.csv', newline='') as all_data:
+        whole_file = all_data.read().splitlines()
+        for i, line in enumerate(whole_file):
+            address = line.split(",")[MAIN_FILE_ADDRESS_INDEX]
+            if clean_address(address) in benchmark_buildings:
+                found.add(line.split(",")[MAIN_FILE_ID_INDEX])
+
+        if i%50 == 49:
+            with open("temp.txt", "w") as f:
+                f.write(str(len(found)))
+                f.write("/n")
+                f.write(", ".join(found))
+
+        print("found addresses: ", found.__str__(), len(found))
 
 def print_tags():
     with open('src/data/source/ChicagoEnergyBenchmarking.csv', newline='') as all_data: