add cron job sector performance

app/cron_sector.py

@@ -0,0 +1,83 @@
+from datetime import datetime, timedelta
+import ujson
+import asyncio
+import aiohttp
+import os
+from dotenv import load_dotenv
+from collections import defaultdict  # Import defaultdict
+
+# Load environment variables
+load_dotenv()
+api_key = os.getenv('FMP_API_KEY')
+
+
+def get_sector_path(sector):
+    sector_paths = {
+        'basicMaterialsChangesPercentage': "basic-materials",
+        'communicationServicesChangesPercentage': "communication-services",
+        'consumerCyclicalChangesPercentage': "consumer-cyclical",
+        'consumerDefensiveChangesPercentage': "consumer-defensive",
+        'financialServicesChangesPercentage': "financial",
+        'industrialsChangesPercentage': "industrials",
+        'energyChangesPercentage': "energy",
+        'utilitiesChangesPercentage': "utilities",
+        'realEstateChangesPercentage': "real-estate",
+        'technologyChangesPercentage': "technology",
+        'healthcareChangesPercentage': 'healthcare',
+    }
+    return sector_paths.get(sector, None)
+
+# Function to save JSON data
+async def save_json(data, name):
+    os.makedirs('json/sector', exist_ok=True)
+    with open(f'json/sector/{name}.json', 'w') as file:
+        ujson.dump(data, file)
+
+# Function to fetch data from the API
+async def get_data(session, start_date, end_date):
+    url = f"https://financialmodelingprep.com/api/v3/historical-sectors-performance?from={start_date}&to={end_date}&apikey={api_key}"
+    async with session.get(url) as response:
+        data = await response.json()
+        return data
+
+# Main function to manage the date iteration and API calls
+async def run():
+    sector_data = defaultdict(list)
+    start_date = datetime.now() - timedelta(days=180)
+    today = datetime.now()
+
+    async with aiohttp.ClientSession() as session:
+        while start_date <= today:
+            # Calculate the next end_date, ensuring it doesn't go beyond today
+            end_date = min(start_date + timedelta(days=30), today)
+
+            start_str = start_date.strftime('%Y-%m-%d')
+            end_str = end_date.strftime('%Y-%m-%d')
+
+            data = await get_data(session, start_str, end_str)
+            if data:
+                for item in data:
+                    date = item['date']
+                    for sector_key, sector_value in item.items():
+                        if sector_key == 'date':
+                            continue
+                        sector_name = get_sector_path(sector_key)
+                        if sector_name:
+                            sector_data[sector_name].append({
+                                'date': date,
+                                'changesPercentage': round(sector_value,3)
+                            })
+
+            # Update start_date for the next loop iteration
+            start_date = end_date + timedelta(days=1)
+
+    # Save each sector's data as a separate JSON file
+    for sector, records in sector_data.items():
+        records = sorted(records, key=lambda x: x['date'])
+        await save_json(records, sector)
+
+    return sector_data
+
+# Run the asyncio event loop
+loop = asyncio.get_event_loop()
+sector_results = loop.run_until_complete(run())

app/main.py

@@ -1812,6 +1812,38 @@ async def get_delisted_companies(api_key: str = Security(get_api_key)):
     return res
 
 
+@app.post("/historical-sector-price")
+async def historical_sector_price(data:FilterStockList, api_key: str = Security(get_api_key)):
+    data = data.dict()
+    print(data)
+    sector = data['filterList']
+    cache_key = f"history-price-sector-{sector}"
+    cached_result = redis_client.get(cache_key)
+
+    if cached_result:
+        return StreamingResponse(
+        io.BytesIO(cached_result),
+        media_type="application/json",
+        headers={"Content-Encoding": "gzip"})
+
+    try:
+        with open(f"json/sector/{sector}.json", 'rb') as file:
+            res = orjson.loads(file.read())
+    except:
+        res = []
+
+    data = orjson.dumps(res)
+    compressed_data = gzip.compress(data)
+    redis_client.set(cache_key, compressed_data)
+    redis_client.expire(cache_key, 60*60)  # Set cache expiration time to 1 day
+
+    return StreamingResponse(
+        io.BytesIO(compressed_data),
+        media_type="application/json",
+        headers={"Content-Encoding": "gzip"}
+    )
+
+
 @app.post("/filter-stock-list")
 async def filter_stock_list(data:FilterStockList, api_key: str = Security(get_api_key)):
     data = data.dict()
@@ -1828,8 +1860,7 @@ async def filter_stock_list(data:FilterStockList, api_key: str = Security(get_ap
     base_query = """
         SELECT symbol, name, price, changesPercentage, marketCap, revenue, netIncome
         FROM stocks 
-        WHERE symbol != ? 
+        WHERE (price IS NOT NULL OR changesPercentage IS NOT NULL) 
-        AND (price IS NOT NULL OR changesPercentage IS NOT NULL) 
         AND {}
     """
 
@@ -1867,7 +1898,7 @@ async def filter_stock_list(data:FilterStockList, api_key: str = Security(get_ap
     # Execute the query with the relevant country
     if filter_list in conditions:
         full_query = base_query.format(conditions[filter_list])
-        cursor.execute(full_query, ('%5EGSPC',))
+        cursor.execute(full_query)
 
     # Fetch the results
     raw_data = cursor.fetchall()