update economic indicator
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@ -13,9 +13,9 @@ api_key = os.getenv('FMP_API_KEY')
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# Function to save JSON data
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async def save_json(data, name):
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async def save_json(data):
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os.makedirs('json/economic-indicator', exist_ok=True)
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with open(f'json/economic-indicator/{name}.json', 'w') as file:
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with open(f'json/economic-indicator/data.json', 'w') as file:
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ujson.dump(data, file)
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# Function to fetch data from the API
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@ -61,12 +61,88 @@ async def get_cpi():
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data = sorted(data, key=lambda x: x['date'])
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return data
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async def get_gdp():
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start_date = datetime(2000,1,1).strftime('%Y-%m-%d')
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end_date = datetime.now().strftime('%Y-%m-%d')
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async with aiohttp.ClientSession() as session:
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url = f"https://financialmodelingprep.com/api/v4/economic?name=GDP&from={start_date}&to={end_date}&apikey={api_key}"
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data = await get_data(session,url)
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data = sorted(data, key=lambda x: x['date'])
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return data
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async def get_real_gdp():
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start_date = datetime(2000,1,1).strftime('%Y-%m-%d')
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end_date = datetime.now().strftime('%Y-%m-%d')
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async with aiohttp.ClientSession() as session:
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url = f"https://financialmodelingprep.com/api/v4/economic?name=realGDP&from={start_date}&to={end_date}&apikey={api_key}"
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data = await get_data(session,url)
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data = sorted(data, key=lambda x: x['date'])
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return data
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async def get_real_gdp_per_capita():
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start_date = datetime(2000,1,1).strftime('%Y-%m-%d')
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end_date = datetime.now().strftime('%Y-%m-%d')
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async with aiohttp.ClientSession() as session:
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url = f"https://financialmodelingprep.com/api/v4/economic?name=realGDPPerCapita&from={start_date}&to={end_date}&apikey={api_key}"
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data = await get_data(session,url)
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data = sorted(data, key=lambda x: x['date'])
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return data
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async def get_unemployment_rate():
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start_date = datetime(2000,1,1).strftime('%Y-%m-%d')
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end_date = datetime.now().strftime('%Y-%m-%d')
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async with aiohttp.ClientSession() as session:
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url = f"https://financialmodelingprep.com/api/v4/economic?name=unemploymentRate&from={start_date}&to={end_date}&apikey={api_key}"
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data = await get_data(session,url)
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data = sorted(data, key=lambda x: x['date'])
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return data
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async def get_recession_probability():
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start_date = datetime(2000,1,1).strftime('%Y-%m-%d')
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end_date = datetime.now().strftime('%Y-%m-%d')
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async with aiohttp.ClientSession() as session:
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url = f"https://financialmodelingprep.com/api/v4/economic?name=smoothedUSRecessionProbabilities&from={start_date}&to={end_date}&apikey={api_key}"
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data = await get_data(session,url)
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data = sorted(data, key=lambda x: x['date'])
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return data
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async def get_inflation_rate():
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start_date = datetime(2000,1,1).strftime('%Y-%m-%d')
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end_date = datetime.now().strftime('%Y-%m-%d')
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async with aiohttp.ClientSession() as session:
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url = f"https://financialmodelingprep.com/api/v4/economic?name=inflationRate&from={start_date}&to={end_date}&apikey={api_key}"
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data = await get_data(session,url)
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data = sorted(data, key=lambda x: x['date'])
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data = [entry for entry in data if datetime.strptime(entry['date'], "%Y-%m-%d").day == 1]
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return data
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# Main function to manage the date iteration and API calls
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async def run():
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cpi = await get_cpi()
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treasury = await get_treasury()
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data = {'cpi': cpi, 'treasury': treasury}
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await save_json(data, 'data')
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unemployment_rate = await get_unemployment_rate()
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#recession_probability = await get_recession_probability()
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gdp = await get_gdp()
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real_gdp = await get_real_gdp()
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real_gdp_per_capita = await get_real_gdp_per_capita()
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inflation_rate = await get_inflation_rate()
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data = {
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'cpi': cpi,
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'treasury': treasury,
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'unemploymentRate': unemployment_rate,
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#'recessionProbability': recession_probability,
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'gdp': gdp,
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'realGDP': real_gdp,
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'realGDPPerCapita': real_gdp_per_capita,
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'inflationRate': inflation_rate
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}
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await save_json(data)
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# Run the asyncio event loop
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