From e4e2ba5a94c02d1bb15c1d4aaf21430198fdf63a Mon Sep 17 00:00:00 2001
From: amilashanaka <dsa.amilashanaka@gmail.com>
Date: Tue, 3 Jan 2023 02:30:52 +0000
Subject: [PATCH] add new endpoints
---
api/run.py | 74 ++++++++++++++++++++++++++++++++++++++++++++++++++++--
1 file changed, 72 insertions(+), 2 deletions(-)
diff --git a/api/run.py b/api/run.py
index 1de2626..8e1ba81 100644
--- a/api/run.py
+++ b/api/run.py
@@ -9,6 +9,7 @@ from app import app
import pandas as pd
import datetime as dt
import numpy as np
+import json
from sqlalchemy import create_engine
@@ -23,6 +24,9 @@ from flask import flash, request
from datetime import datetime, timedelta
import matplotlib.pyplot as plt
+import matplotlib.dates as mdates
+import seaborn as sns
+sns.set_theme(style="darkgrid")
#=================================================
@@ -199,6 +203,72 @@ setup()
# end points declaration
+@app.route("/plot_order-demands",methods=['GET'])
+def plot_order_demands_total():
+ global raw_data_set
+ sns.lineplot(x='Date', y='Order_Demand',hue='Warehouse', data=raw_data_set)
+ plt.figure(figsize=(20, 7))
+ plt.xticks(rotation=15)
+ plt.gcf().autofmt_xdate()
+
+ plt.legend()
+ plt.show()
+
+ return "Order demand"
+
+
+@app.route("/plot_order_demand_total",methods=['GET'])
+def plot_order_demands():
+ global data_set
+ import matplotlib.pyplot as plt
+ from matplotlib.ticker import (MultipleLocator, FormatStrFormatter,
+ AutoMinorLocator)
+ import matplotlib.dates as mdates
+
+ dtFmt = mdates.DateFormatter('%Y-%b') # define the formatting
+
+ sns.lineplot(x='Date', y='Order_Demand', data=data_set)
+ plt.figure(figsize=(20, 7))
+ plt.gca().xaxis.set_major_formatter(dtFmt)
+ # show every 12th tick on x axes
+ plt.gca().xaxis.set_major_locator(mdates.MonthLocator(interval=1))
+ plt.xticks(rotation=90, fontweight='light', fontsize='x-small',)
+ plt.legend()
+ plt.show()
+
+ return "Order demand"
+
+
+@app.route("/products",methods=['GET'])
+
+def products():
+ global raw_data_set
+ result_array =raw_data_set['Product_code'].unique()
+ return result_array.tolist()
+
+@app.route("/date_range",methods=['GET'])
+
+def date_range():
+
+ result_array =data_set['Date'].unique()
+ return result_array.tolist()
+
+
+@app.route("/warehouse",methods=['GET'])
+
+def warehouse():
+ global raw_data_set
+ warehouse_array =raw_data_set['Warehouse'].unique()
+ return warehouse_array.tolist()
+
+
+@app.route("/row_data",methods=['GET'])
+def row_data():
+ global raw_data_set
+ return raw_data_set.to_json(orient='records')
+
+
+
@app.route("/validation",methods=['GET'])
def validation():
@@ -207,7 +277,7 @@ def validation():
return result.to_json(orient='records')
@app.route("/forecast_to_date",methods=["POST"])
-def forecast():
+def forecast_to_date():
global data_set
global scaler
global index_data_set
@@ -255,7 +325,7 @@ def forecast_to_range():
new_date=datetime.strptime(date, "%Y-%m-%d").date()
new_date=new_date - timedelta(days=(feature_length-1))
new_date=new_date.strftime("%Y-%m-%d")
-
+
result=predict_given_date(index_data_set,new_date, feature_length)
df=pd.DataFrame()
# df=pd.DataFrame(data=result,columns=["Prediction"])
--
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