port services code from co-data.

app/main.py

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+#!/usr/bin/python3
+
+import requests
+from datetime import datetime
+from services import art_services, data_services
+
+def main():
+    raw_art_data = data_services.get_json("https://api.craigoates.net/api/1.0/Artwork")
+    cd_totals = art_services.get_creation_date_totals(raw_art_data)
+    print(cd_totals)
+    cat_totals = art_services.get_db_column_totals(raw_art_data, "category")
+    print(cat_totals)
+    med_totals = art_services.get_db_column_totals(raw_art_data, "medium")
+    print(med_totals)
+    width_totals = art_services.get_dimension_totals(raw_art_data, "dimensions", "width")
+    print(width_totals)
+    height_totals = art_services.get_dimension_totals(raw_art_data, "dimensions", "height")
+    print(height_totals)
+    depth_totals = art_services.get_dimension_totals(raw_art_data, "dimensions", "depth")
+    print(depth_totals)
+
+    # Use for console priting for the moment.
+    date = datetime.now().strftime('%d/%m/%Y')
+    time = datetime.now().strftime("%H:%M")
+
+    return 0
+
+if __name__ == "__main__":
+    main()

app/services/art_services.py

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+from datetime import datetime
+
+'''
+Note: Hard-Coding "Months" and "Days" Sets
+======================================================================
+I have hardcoded the "months" and "days" sets because they are
+fixed values -- unless something monumental happens scientifically
+or politically. On top of that, this makes the graphs easier to
+read because they are in chronological order. This is not
+guaranteed if the "keys" for "months" and "sets" are formed from
+the data-object this function receives.
+Unfortunately, I cannot do the same for years. That will continue
+to grow as the years roll on through here -- unless something
+monumental happens scientifically or politically.
+'''
+def get_creation_date_totals(data):
+    years = {}
+    
+    months = {"1": 0, "2": 0, "3": 0, "4": 0, "5": 0, "6": 0,
+              "7": 0, "8": 0, "9": 0,"10": 0, "11": 0, "12": 0}
+
+    days = {"1": 0, "2": 0, "3": 0, "4": 0, "5": 0, "6": 0,
+            "7": 0, "8": 0, "9": 0,"10": 0, "11": 0, "12": 0,
+            "13": 0, "14": 0, "15": 0, "16": 0, "17": 0, "18": 0,
+            "19": 0, "20": 0, "21": 0,"22": 0, "23": 0, "24": 0,
+            "25": 0, "26": 0, "27": 0, "28": 0, "29": 0, "30": 0,
+            "31": 0}
+
+    for item in data:
+        ft = datetime.fromisoformat(item["dateCreated"])
+
+        if str(ft.year) in years:
+            years[str(ft.year)] += 1
+        else:
+            years[str(ft.year)] = 1
+            
+        if str(ft.month) in months:
+            months[str(ft.month)] += 1
+        else:
+            months[str(ft.month)] = 1
+            
+        if str(ft.day) in days:
+            days[str(ft.day)] += 1
+        else:
+            days[str(ft.day)] = 1
+
+    return [years, months, days]
+
+def get_category_totals(data):
+    categories = {}
+    for item in data:
+        cat = item["category"]
+        '''
+        The join and split is because the data returned from the A.P.I.
+        call contains a lot of white spaces. This just cleans it up.
+        The white space was, also, making the chart render incorrectly.
+        '''
+        cat = ''.join(cat.split())
+        if cat in categories:
+            total = categories.get(cat)
+            categories[cat] = total + 1
+        else:
+           categories[cat] = 1
+    return categories
+
+def get_db_column_totals(data, column_name):
+    column_data = {}
+    for item in data:
+        col = item[column_name]
+        col = " ".join(col.split())
+        # print(col)
+        if col in column_data:
+            total = column_data.get(col)
+            column_data[col] = total + 1
+        else:
+            column_data[col] = 1
+    return column_data
+
+def get_dimension_totals(data, column_name, dimension):
+    dimensions = {}
+    for item in data:
+        dim = item[column_name]
+        distance = dim[dimension]["value"]["distance"]
+        if distance is not None:
+            w = str(distance)
+            if w not in dimensions:
+                dimensions[str(distance)] = 1
+            else:
+                total = dimensions.get(str(distance))
+                dimensions[str(distance)] = total + 1
+    return dimensions

app/services/data_services.py

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+import requests
+
+def get_data(url):
+    return requests.get(url)
+
+def get_json(url):
+    return requests.get(url).json()

requirements.txt

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+certifi==2020.4.5.1
+chardet==3.0.4
+idna==2.9
+pkg-resources==0.0.0
+requests==2.23.0
+urllib3==1.25.9