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Update app.py
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app.py
CHANGED
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@@ -1157,7 +1157,7 @@ def fetch_and_store_data_market():
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to_date = (datetime.now() - timedelta(days=1)).strftime('%d %b %Y')
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from_date_obj = datetime.strptime(from_date, '%d %b %Y')
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to_date_obj = datetime.strptime(to_date, '%d %b %Y')
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if
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print("Data already scraped")
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return None
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# Build the URL to be requested
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@@ -1206,7 +1206,6 @@ def fetch_and_store_data_market():
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df.dropna(subset=["Price Date"], inplace=True)
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df.sort_values(by="Price Date", inplace=True)
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df = df[df["Grade"]=="FAQ"]
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# Type casting for the columns
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df["Modal Price (Rs./Quintal)"] = pd.to_numeric(df["Modal Price (Rs./Quintal)"], errors='coerce').astype("int64")
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df["Market Name"] = df["Market Name"].astype("string")
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df.rename(columns={"Price Date": "Reported Date"}, inplace=True)
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to_date = (datetime.now() - timedelta(days=1)).strftime('%d %b %Y')
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from_date_obj = datetime.strptime(from_date, '%d %b %Y')
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to_date_obj = datetime.strptime(to_date, '%d %b %Y')
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if from_date_obj < to_date_obj:
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print("Data already scraped")
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return None
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# Build the URL to be requested
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df.dropna(subset=["Price Date"], inplace=True)
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df.sort_values(by="Price Date", inplace=True)
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df = df[df["Grade"]=="FAQ"]
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df["Modal Price (Rs./Quintal)"] = pd.to_numeric(df["Modal Price (Rs./Quintal)"], errors='coerce').astype("int64")
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df["Market Name"] = df["Market Name"].astype("string")
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df.rename(columns={"Price Date": "Reported Date"}, inplace=True)
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