AmineTMIRI/backend
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

update metrics

Browse Source
This commit is contained in:
MuslemRahimi 2024-10-21 10:52:45 +02:00
parent 78984cb11e
commit d0e35852af
1 changed files with 33 additions and 23 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

56
app/cron_business_metrics.py
View File

@ -164,19 +164,27 @@ def generate_revenue_dataset(dataset):
"hardwareandaccessories": "Hardware & Accessories",
"software": "Software",
"collectibles": "Collectibles",
"automotivesales": "Auto",
"energygenerationandstoragesegment": "Energy and Storage",
"servicesandother": "Services & Other",
"automotiveregulatorycredits": "Regulatory Credits",
"intelligentcloud": "Intelligent Cloud",
"productivityandbusinessprocesses": "Productivity & Business"
}
# Filter out unwanted categories
excluded_names = {'compute', 'networking', 'cloudserviceagreements', 'digital', 'allother', 'preownedvideogameproducts'}
excluded_names = {'officeproductsandcloudservices','serverproductsandcloudservices','automotiverevenues','automotive','computeandnetworking','graphics','gpu','automotivesegment','energygenerationandstoragesales','energygenerationandstorage','automotivesaleswithoutresalevalueguarantee','salesandservices','compute', 'networking', 'cloudserviceagreements', 'digital', 'allother', 'preownedvideogameproducts'}
dataset = [revenue for revenue in dataset if revenue['name'].lower() not in excluded_names]
# Process and clean the dataset
for item in dataset:
name = item.get('name').lower()
value = int(float(item.get('value')))
if name in name_replacements:
item['name'] = name_replacements[name]
item['value'] = value
try:
name = item.get('name').lower()
value = int(float(item.get('value')))
if name in name_replacements:
item['name'] = name_replacements[name]
item['value'] = value
except:
pass
# Group by name and calculate total value
name_totals = defaultdict(int)
@ -239,25 +247,27 @@ def generate_geography_dataset(dataset):
aggregated_data = {}
for item in dataset:
# Standardize country names
name = item.get('name', '').lower()
date = item.get('date')
value = int(float(item.get('value', 0)))
try:
name = item.get('name', '').lower()
date = item.get('date')
value = int(float(item.get('value', 0)))
year = int(date[:4])
if year < 2019:
continue # Skip this item if the year is less than 2019
year = int(date[:4])
if year < 2019:
continue # Skip this item if the year is less than 2019
# Replace country name if necessary
country_name = country_replacements.get(name, 'Other')
# Replace country name if necessary
country_name = country_replacements.get(name, 'Other')
# Use (country_name, date) as the key to sum values
key = (country_name, date)
# Use (country_name, date) as the key to sum values
key = (country_name, date)
if key in aggregated_data:
aggregated_data[key] += value # Add the value if the country-date pair exists
else:
aggregated_data[key] = value # Initialize the value if new country-date pair
if key in aggregated_data:
aggregated_data[key] += value # Add the value if the country-date pair exists
else:
aggregated_data[key] = value # Initialize the value if new country-date pair
except:
pass
# Convert the aggregated data back into the desired list format
dataset = [{'name': country, 'date': date, 'value': total_value} for (country, date), total_value in aggregated_data.items()]
@ -364,6 +374,6 @@ if __name__ == "__main__":
run('GME', custom_order)
'''
for symbol in ['NVDA','AAPL','GME']:
for symbol in ['TSLA']: #['NVDA','AAPL','GME']:
run(symbol)