First commit

LICENSE

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+MIT License
+
+Copyright (c) 2023 Dita Aji Pratama
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# JobScore
+Python Script for check your profession value.
+
+## Usage
+
+import the script
+
+    import jobscore
+
+prepare your list.
+
+    history = [
+        {
+            'year'   : 2015,
+            'salary' : 2200000.00,
+            'based'  : {
+                'gold' : 474773.00,
+                'umr'  : 2700000.00
+            }
+        },
+        {
+            'year'   : 2016,
+            'salary' : 3300000.00,
+            'based'  : {
+                'gold' : 568643.00,
+                'umr'  : 3100000.00
+            }
+        },
+        {
+            'year'   : 2018,
+            'salary' : 4000000.00,
+            'based'  : {
+                'gold' : 567498.00,
+                'umr'  : 3648036.00
+            }
+        },
+        {
+            'year'   : 2019,
+            'salary' : 8000000.00,
+            'based'  : {
+                'gold' : 758000.00,
+                'umr'  : 3900000.00
+            }
+        }
+    ]
+
+define a number formating (optional).
+
+    def formating(i):
+        return "{:,.2f}".format(i)
+
+to get a percent of the changes comparison in your profession value.
+
+    data = {
+        'from'  : 2018,
+        'to'    : 2019,
+        'based' : 'gold'
+    }
+
+    result = formating( jobscore.compare(history, data) )
+    print(f'{result}%')
+
+to get a salary increase proposal based on your last profession value.
+
+    data = {
+        'percent' : 20, # increase you expected
+        'from'    : 2019,
+        'based'   : {
+            'type'  : 'gold',
+            'value' : 1073235.00 # current based value
+        }
+    }
+    
+    result = formating( jobscore.proposal(history, data) )
+    print(f'Rp {result}')

jobscore.py

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+def compare(history, data):
+
+    for row in history:
+        if row['year'] == data['from' ]:
+            before = row
+        if row['year'] == data['to'   ]:
+            after  = row
+        else:
+            pass
+
+    before_value = before ['salary'] / before ['based'][data['based']]
+    after_value  = after  ['salary'] / after  ['based'][data['based']]
+    change       = (after_value - before_value) / before_value * 100
+
+    return change
+
+def proposal(history, data):
+    for row in history:
+        if row['year'] == data['from']:
+            before = row
+        else:
+            pass
+
+    new_value = ((data['percent']/100)+1) * before['salary'] / before['based'][data['based']['type']] * data['based']['value']
+
+    return new_value