Uploaded Python solution files by Prasanth

Solution-Prasanth/codechallenge1.py

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+""" Problem Statement 1
+
+- Given a list of purchases, each has an item and its quantity.
+- Find the vendor for each purchase where cost is minimum (primary objective) and time-efficient (secondary objective).  Do not assign multiple vendors to a single purchase.
+- If a purchase is not possible, mark that purchase as not possible.
+- Quantity will always be in KG.
+- Use the data given in `vendors.csv`.
+
+**Input**: A CSV file `input.csv`. Each row contains the purchase id, item, and required quantity.
+
+**Expected Output**: A CSV file `output.csv`. Each row contains the purchase id, item, required quantity, indication if a purchase is possible (true/false), vendor, total cost, and delivery time.
+"""
+
+import pandas as pd
+df = pd.read_csv("C:/Users/3108p/code_challenge/vendors.csv")
+
+from flask import Flask, request, jsonify
+app = Flask(__name__)
+
+purchases = []
+result = []
+
+@app.route("/purchases", methods=["GET"])
+def get_purchase():
+    return jsonify(purchases)
+
+@app.route("/purchases", methods=["POST"])
+def computing_result():
+    result_dictionary={}
+    if request.is_json:
+        purchase = request.get_json()
+        purchases.append(purchase)
+        cost = 1000000
+        mintime = 10000
+        isavail = "false"
+        vendor = " "
+        total = 0
+        time = 0
+        for j in range(df.shape[0]):
+
+            if purchase["item"] == df["Item"][j]:
+
+                if df["Cost Per KG"][j] < cost:
+                    cost = int(df["Cost Per KG"][j])
+                    mintime = int(df["Time to Deliver"][j])
+                    isavail = "true"
+                    vendor = df["Vendor"][j]
+                    total = int(df["Cost Per KG"][j])*int(purchase["Req. Quantity"])
+                    time = mintime
+
+                elif int(df["Cost Per KG"][j]) == cost:
+
+                    if int(df["Time to Deliver"][j]) < mintime:
+
+                        mintime = int(df["Time to Deliver"][j])
+                        isavail = "true"
+                        vendor = df["Vendor"][j]
+                        total = int(df["Cost Per KG"][j])*int(purchase["Req. Quantity"])
+                        time = mintime
+
+        result_dictionary["Purchase Id"] = purchase["Pur_id"]
+        result_dictionary["Item"] = purchase["item"]
+        result_dictionary["Quantity"] = purchase["Req. Quantity"]
+        result_dictionary["IsAvail"] = isavail
+        result_dictionary["Vendor"] = vendor
+        result_dictionary["Total cost"] = total
+        result_dictionary["Time"] = time
+        result.append(result_dictionary)
+        return result_dictionary,201
+    return {"error": "Request must be JSON"}, 415
+
+@app.route("/results", methods=["GET"])
+def get_result():
+    return jsonify(result)

Solution-Prasanth/codechallenge2.py

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+"""
+
+We have provided `vendor_capacities.csv` which contains vendor, item, cost, delivery time, quantity limit, and additional cost.
+
+- Given a list of purchases, each has an item and its quantity.
+- Find the vendor for each purchase where cost is minimum (primary objective) and time-efficient (secondary objective).  Do not assign multiple vendors to a single purchase.
+- Consider the quantity limit and additional cost if a purchase quantity exceeds the quantity limit. If a purchase is not possible, mark that purchase impossible.
+- Quantity will always be in KG.
+- Use the data given in `vendor_capacities.csv`.
+
+**Input**: A CSV file input-capacities.csv. Each row contains the purchase id, item, and required quantity.
+
+**Expected Output**: Same as Problem statement 1.
+
+"""
+
+import pandas as pd
+df = pd.read_csv("C:/Users/3108p/code_challenge/vendor-capacities.csv")
+
+from flask import Flask, request, jsonify
+app = Flask(__name__)
+
+purchases = []
+result = []
+
+@app.route("/purchases", methods=["GET"])
+def get_purchase():
+    return jsonify(purchases)
+
+@app.route("/purchases", methods=["POST"])
+def computing_result():
+    result_dictionary={}
+    if request.is_json:
+        purchase = request.get_json()
+        purchases.append(purchase)
+        mincost = 100000
+        mintime = 1000
+        isavail = "false"
+        vendor = " "
+        for j in range(df.shape[0]):
+
+            if purchase["item"] == df["Item"][j]:
+
+                if int(df["Default Quantity Limit in KG"][j]) >= int(purchase["Req. Quantity"]):
+
+                    cost = int(df["Cost Per KG"][j])*int(purchase["Req. Quantity"])
+
+                else:
+
+                    additional = int(df["Cost Per KG"][j]) + int(df["Additional Cost Per KG"][j])
+                    addtocost = ((int(purchase["Req. Quantity"])-int(df["Default Quantity Limit in KG"][j])) * additional)
+                    cost = (int(df["Cost Per KG"][j]) * int(df["Default Quantity Limit in KG"][j])) + addtocost
+
+                if cost < mincost: 
+                    mincost = int(cost)
+                    mintime = int(df["Time to Deliver"][j])
+                    isavail = "true"
+                    vendor = df["Vendor"][j]
+
+                elif cost == mincost:
+
+                    if df["Time to Deliver"][j] < mintime:
+
+                        mintime = int(df["Time to Deliver"][j])
+                        isavail = "true"
+                        vendor = df["Vendor"][j]
+
+        result_dictionary["Purchase Id"] = purchase["Pur_id"]
+        result_dictionary["Item"] = purchase["item"]
+        result_dictionary["Quantity"] = purchase["Req. Quantity"]
+        result_dictionary["IsAvail"] = isavail
+        result_dictionary["Vendor"] = vendor
+        if mincost == 100000 and mintime == 1000:
+            total=0
+            time=0
+        else:
+            total=mincost
+            time=mintime
+        result_dictionary["Total cost"] = total
+        result_dictionary["Time"] = time
+        result.append(result_dictionary)
+        return result_dictionary,201
+    return {"error": "Request must be JSON"}, 415
+
+@app.route("/results", methods=["GET"])
+def get_result():
+    return jsonify(result)