scripts to find buildings for large owners

src/data/scripts/find_cha_buildings.py

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+import csv
+
+found = []
+
+with open("src/data/scripts/cha_building_names.txt") as f:
+    looking_for = f.read().splitlines()
+    with open("src/data/source/ChicagoEnergyBenchmarking.csv") as a:
+        whole_file = list(csv.DictReader(a))
+
+        for i, p in enumerate(looking_for):
+            for j, whole_file_line in enumerate(whole_file):
+                if p.lower().strip().replace(" ", "") in whole_file_line["Property Name"].lower().strip().replace(" ", ""):
+                    found.append((whole_file_line["ID"], whole_file_line["Property Name"]))
+                    break
+
+for place in found:
+    print('// '+place[1])
+    print("'" + place[0] + "'" + ": { owner: BuildingOwners.cha.key },")

src/data/scripts/find_city_buildings.py

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+import csv
+
+found = []
+
+def find_addresses():
+    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]
+                    if line["Address"].lower().strip().replace(" ", "") == address.lower().strip().replace(" ", ""):
+                        found.append(whole_file_line.split(",")[MAIN_FILE_ID_INDEX])
+                        break
+
+                if i%50 == 49:
+                    print(found)
+                    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:
+        whole_dict = csv.DictReader(all_data)
+
+        for line in whole_dict:
+            if line["ID"] in found:
+                print("// "+line["Property Name"])
+                print(line["ID"] + ": { owner: BuildingOwners.cityofchicago.key },")
+                found.remove(line["ID"])
+
+find_addresses()
+print_tags()

src/data/scripts/find_cps_schools.py

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+import csv
+
+cps_schools:[str, str] = {}
+
+with open('src/data/source/ChicagoEnergyBenchmarking.csv', newline='') as csvfile:
+    whole_file = csv.DictReader(csvfile)
+    for row in whole_file:
+        if "CPS" in row["Property Name"]:
+            cps_schools[row["ID"]] = row["Property Name"]
+
+    for id, school in cps_schools.items():
+        cleaned_school_name = school.removesuffix("-CPS").strip()  
+        print("// "+cleaned_school_name)
+        print('"' + id + '"' + ": { owner: BuildingOwners.cps.key },")