Upload 2 files
Browse files- app.py +72 -0
- requirements.txt +4 -0
app.py
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import requests
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import pandas as pd
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import matplotlib.pyplot as plt
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import datetime
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import gradio as gr
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def plot_e_pricing(EIC_code,start_date,end_date,tomorrow_rate):
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#
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list_of_EIC_codes = ["10Y1001A1001A46L","10YDK-1--------W","10YES-REE------0","10YFR-RTE------C"]
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#
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if tomorrow_rate == True:
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now = datetime.datetime.utcnow()
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tomorrow = now + datetime.timedelta(days=1)
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now = now.replace(microsecond=0).isoformat() + 'Z'
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tomorrow = tomorrow.replace(microsecond=0).isoformat() + 'Z'
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#
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start_date = now
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end_date = tomorrow
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#
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url = "https://electri.p.rapidapi.com/api/v1/day-ahead-prices"
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querystring = {"to":end_date,"from":start_date,"eic":EIC_code}
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headers = {
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"X-RapidAPI-Key": "7ad267cb53mshf4f5255c38f192ap19f964jsnc7abc0be43eb",
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"X-RapidAPI-Host": "electri.p.rapidapi.com"
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}
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data = requests.request("GET", url, headers=headers, params=querystring).json()
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df = pd.json_normalize(data['data']['series'])
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df['time'] = pd.to_datetime(df['time'])
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#
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df_metadata = pd.json_normalize(data)
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currency = df_metadata['data.currency'].iloc[0]
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power_unit = df_metadata['data.unit'].iloc[0]
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eic = df_metadata['data.eic'].iloc[0]
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#
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fig, ax = plt.subplots(figsize=(8, 6))
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ax.plot(df['time'], df['price']);
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plt.title('Electrical prices '+ str(eic))
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plt.xlabel('Time')
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plt.ylabel('Price [' + str(currency) + '/' + str(power_unit) + ']')
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fig.autofmt_xdate()
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#
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#
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return fig
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inputs = [
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gr.Dropdown(list_of_EIC_codes, label="Electrical Provider EIC"),
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gr.Textbox(label="Start Date [YYYY-MM-DDTHH:MMZ]"),
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gr.Textbox(label="End Date [YYYY-MM-DDTHH:MMZ]"),
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gr.Checkbox(label="Tomorrow's rates?",default='False'),
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]
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outputs = gr.Plot()
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demo = gr.Interface(
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fn=plot_e_pricing,
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inputs=inputs,
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outputs=outputs,
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examples=[
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["10Y1001A1001A46L","2022-04-05T22:00Z","2022-05-05T22:00Z",False],
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["10YDK-1--------W","2022-08-05T22:00Z","2022-08-06T22:00Z",False],
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["10YDK-1--------W"," "," ",True],
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],
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cache_examples=True,
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)
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if __name__ == "__main__":
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demo.launch()
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# Requirements
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# pipreqs .
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requirements.txt
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@@ -0,0 +1,4 @@
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gradio==3.7
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matplotlib==3.5.1
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pandas==1.4.2
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requests==2.27.1
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