227 lines
9.4 KiB
Python
227 lines
9.4 KiB
Python
import io
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import os
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from datetime import datetime as dt, timezone as tz, datetime
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from celery import states
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from dateutil.relativedelta import relativedelta
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from flask import current_app
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from sqlalchemy import or_, and_
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from sqlalchemy.exc import SQLAlchemyError
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from common.extensions import db
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from common.models.user import Tenant
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from common.models.entitlements import BusinessEventLog, LicenseUsage, License
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from common.utils.celery_utils import current_celery
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from common.utils.eveai_exceptions import EveAINoLicenseForTenant
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# Healthcheck task
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@current_celery.task(name='ping', queue='entitlements')
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def ping():
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return 'pong'
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@current_celery.task(name='update_usages', queue='entitlements')
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def update_usages():
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current_timestamp = dt.now(tz.utc)
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tenant_ids = get_all_tenant_ids()
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for tenant_id in tenant_ids:
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tenant = Tenant.query.get(tenant_id)
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if tenant.storage_dirty:
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recalculate_storage_for_tenant(tenant)
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check_and_create_license_usage_for_tenant(tenant_id)
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logs = get_logs_for_processing(tenant_id, current_timestamp)
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if not logs:
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continue # If no logs to be processed, continu to the next tenant
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# Get the min and max timestamp from the logs
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min_timestamp = min(log.timestamp for log in logs)
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max_timestamp = max(log.timestamp for log in logs)
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# Retrieve relevant LicenseUsage records
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license_usages = get_relevant_license_usages(db.session, tenant_id, min_timestamp, max_timestamp)
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# Split logs based on LicenseUsage periods
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logs_by_usage = split_logs_by_license_usage(logs, license_usages)
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# Now you can process logs for each LicenseUsage
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for license_usage_id, logs in logs_by_usage.items():
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process_logs_for_license_usage(tenant_id, license_usage_id, logs)
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def get_all_tenant_ids():
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tenant_ids = db.session.query(Tenant.tenant_id).all()
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return [tenant_id[0] for tenant_id in tenant_ids] # Extract tenant_id from tuples
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def check_and_create_license_usage_for_tenant(tenant_id):
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current_date = dt.now(tz.utc).date()
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license_usages = (db.session.query(LicenseUsage)
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.filter_by(tenant_id=tenant_id)
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.filter_by(and_(LicenseUsage.period_start_date <= current_date,
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LicenseUsage.period_end_date >= current_date))
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.all())
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if not license_usages:
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active_license = (db.session.query(License).filter_by(tenant_id=tenant_id)
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.filter_by(and_(License.start_date <= current_date,
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License.end_date >= current_date))
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.one())
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if not active_license:
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current_app.logger.error(f"No License defined for {tenant_id}. "
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f"Impossible to calculate license usage.")
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raise EveAINoLicenseForTenant(message=f"No License defined for {tenant_id}. "
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f"Impossible to calculate license usage.")
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start_date, end_date = calculate_valid_period(current_date, active_license.period_start_date)
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new_license_usage = LicenseUsage(period_start_date=start_date,
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period_end_date=end_date,
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license_id=active_license.id,
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tenant_id=tenant_id
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)
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try:
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db.session.add(new_license_usage)
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db.session.commit()
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except SQLAlchemyError as e:
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db.session.rollback()
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current_app.logger.error(f"Error trying to create new license usage for tenant {tenant_id}. "
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f"Error: {str(e)}")
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raise e
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def calculate_valid_period(given_date, original_start_date):
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# Ensure both dates are of datetime.date type
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if isinstance(given_date, datetime):
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given_date = given_date.date()
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if isinstance(original_start_date, datetime):
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original_start_date = original_start_date.date()
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# Step 1: Find the most recent start_date less than or equal to given_date
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start_date = original_start_date
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while start_date <= given_date:
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next_start_date = start_date + relativedelta(months=1)
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if next_start_date > given_date:
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break
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start_date = next_start_date
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# Step 2: Calculate the end_date for this period
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end_date = start_date + relativedelta(months=1, days=-1)
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# Ensure the given date falls within the period
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if start_date <= given_date <= end_date:
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return start_date, end_date
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else:
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raise ValueError("Given date does not fall within a valid period.")
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def get_logs_for_processing(tenant_id, end_time_stamp):
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return (db.session.query(BusinessEventLog).filter(
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BusinessEventLog.tenant_id == tenant_id,
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BusinessEventLog.license_usage_id == None,
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BusinessEventLog.timestamp <= end_time_stamp,
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).all())
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def get_relevant_license_usages(session, tenant_id, min_timestamp, max_timestamp):
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# Fetch LicenseUsage records where the log timestamps fall between period_start_date and period_end_date
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return session.query(LicenseUsage).filter(
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LicenseUsage.tenant_id == tenant_id,
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LicenseUsage.period_start_date <= max_timestamp,
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LicenseUsage.period_end_date >= min_timestamp
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).order_by(LicenseUsage.period_start_date).all()
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def split_logs_by_license_usage(logs, license_usages):
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# Dictionary to hold logs categorized by LicenseUsage
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logs_by_usage = {lu.id: [] for lu in license_usages}
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for log in logs:
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# Find the corresponding LicenseUsage for each log based on the timestamp
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for license_usage in license_usages:
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if license_usage.period_start_date <= log.timestamp <= license_usage.period_end_date:
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logs_by_usage[license_usage.id].append(log)
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break
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return logs_by_usage
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def process_logs_for_license_usage(tenant_id, license_usage_id, logs):
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# Retrieve the LicenseUsage record
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license_usage = db.session.query(LicenseUsage).filter_by(id=license_usage_id).first()
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if not license_usage:
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raise ValueError(f"LicenseUsage with id {license_usage_id} not found.")
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# Initialize variables to accumulate usage data
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embedding_mb_used = 0
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embedding_prompt_tokens_used = 0
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embedding_completion_tokens_used = 0
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embedding_total_tokens_used = 0
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interaction_prompt_tokens_used = 0
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interaction_completion_tokens_used = 0
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interaction_total_tokens_used = 0
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# Process each log
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for log in logs:
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# Case for 'Create Embeddings' event
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if log.event_type == 'Create Embeddings':
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if log.message == 'Starting Trace for Create Embeddings':
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embedding_mb_used += log.document_version_file_size
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elif log.message == 'Final LLM Metrics':
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embedding_prompt_tokens_used += log.llm_metrics_prompt_tokens
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embedding_completion_tokens_used += log.llm_metrics_completion_tokens
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embedding_total_tokens_used += log.llm_metrics_total_tokens
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# Case for 'Ask Question' event
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elif log.event_type == 'Ask Question':
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if log.message == 'Final LLM Metrics':
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interaction_prompt_tokens_used += log.llm_metrics_prompt_tokens
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interaction_completion_tokens_used += log.llm_metrics_completion_tokens
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interaction_total_tokens_used += log.llm_metrics_total_tokens
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# Mark the log as processed by setting the license_usage_id
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log.license_usage_id = license_usage_id
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# Update the LicenseUsage record with the accumulated values
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license_usage.embedding_mb += embedding_mb_used
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license_usage.embedding_prompt_tokens_used += embedding_prompt_tokens_used
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license_usage.embedding_completion_tokens_used += embedding_completion_tokens_used
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license_usage.embedding_total_tokens_used += embedding_total_tokens_used
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license_usage.interaction_prompt_tokens_used += interaction_prompt_tokens_used
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license_usage.interaction_completion_tokens_used += interaction_completion_tokens_used
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license_usage.interaction_total_tokens_used += interaction_total_tokens_used
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# Commit the updates to the LicenseUsage and log records
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try:
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db.session.add(license_usage)
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db.session.add(logs)
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db.session.commit()
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except SQLAlchemyError as e:
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db.session.rollback()
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current_app.logger.error(f"Error trying to update license usage and logs for tenant {tenant_id}. ")
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raise e
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def recalculate_storage_for_tenant(tenant):
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# Perform a SUM operation to get the total file size from document_versions
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total_storage = db.session.execute(f"""
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SELECT SUM(file_size)
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FROM {tenant.id}.document_versions
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""").scalar()
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# Update the LicenseUsage with the recalculated storage
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license_usage = db.session.query(LicenseUsage).filter_by(tenant_id=tenant.id).first()
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license_usage.storage_mb = total_storage / (1024 * 1024) # Convert bytes to MB
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# Reset the dirty flag after recalculating
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tenant.storage_dirty = False
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# Commit the changes
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try:
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db.session.add(tenant)
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db.session.add(license_usage)
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db.session.commit()
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except SQLAlchemyError as e:
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db.session.rollback()
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current_app.logger.error(f"Error trying to update tenant {tenant.id} for Dirty Storage. ")
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