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Update main.py
Browse files
main.py
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@@ -18,50 +18,48 @@ app.add_middleware(
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global page
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page = 1
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# Declare the continuous function as an async function.
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async def your_continuous_function():
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import pandas as pd
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import requests
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import json,httpx
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global page
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while True:
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print("data fetcher running.....")
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'Accept': 'application/json',
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'X-Tenant': 'royalexpress'
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}
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await asyncio.sleep(60) # Adjust the sleep interval as needed
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# Create a startup event.
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@app.on_event("startup")
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async def startup_event():
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# Start the continuous function as a background task.
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asyncio.create_task(your_continuous_function())
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@app.get("/test_api")
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async def test_api():
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global page
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page = 1
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# Declare the continuous function as an async function.
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#async def your_continuous_function():
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#await asyncio.sleep(60) # Adjust the sleep interval as needed
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# Create a startup event.
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#@app.on_event("startup")
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#async def startup_event():
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# Start the continuous function as a background task.
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#asyncio.create_task(your_continuous_function())
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@app.get("/trigger_the_data_fecher_every_60s")
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async def your_continuous_function():
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global page
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print("data fetcher running.....")
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# Initialize an empty DataFrame to store the combined data
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combined_df = pd.DataFrame()
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# Update the payload for each page
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url = "https://dev3.api.curfox.parallaxtec.com/api/ml/order-list?sort=id&paginate=500&page="+str(page)
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payload = {}
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headers = {
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'Accept': 'application/json',
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'X-Tenant': 'royalexpress'
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}
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response = requests.request("GET", url, headers=headers, data=payload)
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# Sample JSON response
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json_response = response.json()
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# Extracting 'data' for conversion
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data = json_response['data']
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df = pd.json_normalize(data)
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# Concatenate the current page's DataFrame with the combined DataFrame
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combined_df = pd.concat([combined_df, df], ignore_index=True)
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data = combined_df[combined_df['status.name'].isin(['RETURN TO CLIENT', 'DELIVERED'])]
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print("data collected from page : "+str(page))
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page+=1
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@app.get("/test_api")
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async def test_api():
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