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update sentiment tracker cron job

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This commit is contained in:
MuslemRahimi 2024-10-18 09:02:11 +02:00
parent d66bcc5618
commit b062213410
2 changed files with 21 additions and 9 deletions
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26
app/cron_sentiment_tracker.py
View File

@ -19,7 +19,7 @@ async def save_json(data):
async def get_data(session, total_symbols):
sources = ["twitter", "stocktwits"] # Sources to loop through
result_data = {} # Dictionary to store results from both sources
result_data = {} # Dictionary to store the final combined results
for source in sources:
# Construct the API URL with the source parameter
@ -30,11 +30,11 @@ async def get_data(session, total_symbols):
if response.status == 200:
data = await response.json()
if len(data) > 0:
res_list = []
for item in data:
symbol = item['symbol']
item['sentiment'] = round(item['sentiment']*100)
item['lastSentiment'] = round(item['lastSentiment']*100)
if symbol in total_symbols:
try:
with open(f"json/quote/{symbol}.json", 'r') as file:
@ -42,17 +42,29 @@ async def get_data(session, total_symbols):
item['price'] = round(res['price'], 2)
item['changesPercentage'] = round(res['changesPercentage'], 2)
item['marketCap'] = round(res['marketCap'], 2)
res_list.append({**item})
except:
# If the symbol already exists, keep the one with the highest sentiment
if symbol in result_data:
if item['sentiment'] > result_data[symbol]['sentiment']:
result_data[symbol] = item
else:
result_data[symbol] = item
except Exception as e:
print(f"Error reading data for {symbol}: {e}")
pass
result_data[source] = res_list # Store the result list for the current source
except Exception as e:
print(f"Error fetching data from {source}: {e}")
pass
# Convert the result_data dictionary to a list of items
final_result = list(result_data.values())
# Save the combined result as a single JSON file
if result_data:
await save_json(result_data)
if final_result:
await save_json(final_result)

2
app/main.py
View File

@ -4040,7 +4040,7 @@ async def get_fomc_impact(api_key: str = Security(get_api_key)):
with open(f"json/sentiment-tracker/data.json", 'rb') as file:
res = orjson.loads(file.read())
except:
res = {}
res = []
data = orjson.dumps(res)
compressed_data = gzip.compress(data)