Feat/dify billing (#1679)
Co-authored-by: jyong <jyong@dify.ai> Co-authored-by: takatost <takatost@users.noreply.github.com>
This commit is contained in:
parent
d3a2c0ed34
commit
053102f433
7 changed files with 182 additions and 2 deletions
55
api/services/billing_service.py
Normal file
55
api/services/billing_service.py
Normal file
|
|
@ -0,0 +1,55 @@
|
|||
import os
|
||||
import requests
|
||||
|
||||
from services.dataset_service import DatasetService
|
||||
|
||||
|
||||
class BillingService:
|
||||
base_url = os.environ.get('BILLING_API_URL', 'BILLING_API_URL')
|
||||
secret_key = os.environ.get('BILLING_API_SECRET_KEY', 'BILLING_API_SECRET_KEY')
|
||||
|
||||
@classmethod
|
||||
def get_info(cls, tenant_id: str):
|
||||
params = {'tenant_id': tenant_id}
|
||||
|
||||
billing_info = cls._send_request('GET', '/info', params=params)
|
||||
|
||||
vector_size = DatasetService.get_tenant_datasets_usage(tenant_id) / 1024
|
||||
billing_info['vector_space']['size'] = int(vector_size)
|
||||
|
||||
return billing_info
|
||||
|
||||
@classmethod
|
||||
def get_subscription(cls, plan: str, interval: str, prefilled_email: str = '', user_name: str = '', tenant_id: str = ''):
|
||||
params = {
|
||||
'plan': plan,
|
||||
'interval': interval,
|
||||
'prefilled_email': prefilled_email,
|
||||
'user_name': user_name,
|
||||
'tenant_id': tenant_id
|
||||
}
|
||||
return cls._send_request('GET', '/subscription', params=params)
|
||||
|
||||
@classmethod
|
||||
def get_invoices(cls, prefilled_email: str = ''):
|
||||
params = {'prefilled_email': prefilled_email}
|
||||
return cls._send_request('GET', '/invoices', params=params)
|
||||
|
||||
@classmethod
|
||||
def _send_request(cls, method, endpoint, json=None, params=None):
|
||||
headers = {
|
||||
"Content-Type": "application/json",
|
||||
"Billing-Api-Secret-Key": cls.secret_key
|
||||
}
|
||||
|
||||
url = f"{cls.base_url}{endpoint}"
|
||||
response = requests.request(method, url, json=json, params=params, headers=headers)
|
||||
|
||||
return response.json()
|
||||
|
||||
@classmethod
|
||||
def process_event(cls, event: dict):
|
||||
json = {
|
||||
"content": event,
|
||||
}
|
||||
return cls._send_request('POST', '/webhook/stripe', json=json)
|
||||
|
|
@ -227,6 +227,36 @@ class DatasetService:
|
|||
return AppDatasetJoin.query.filter(AppDatasetJoin.dataset_id == dataset_id) \
|
||||
.order_by(db.desc(AppDatasetJoin.created_at)).all()
|
||||
|
||||
@staticmethod
|
||||
def get_tenant_datasets_usage(tenant_id):
|
||||
# get the high_quality datasets
|
||||
dataset_ids = db.session.query(Dataset.id).filter(Dataset.indexing_technique == 'high_quality',
|
||||
Dataset.tenant_id == tenant_id).all()
|
||||
if not dataset_ids:
|
||||
return 0
|
||||
dataset_ids = [result[0] for result in dataset_ids]
|
||||
document_ids = db.session.query(Document.id).filter(Document.dataset_id.in_(dataset_ids),
|
||||
Document.tenant_id == tenant_id,
|
||||
Document.completed_at.isnot(None),
|
||||
Document.enabled == True,
|
||||
Document.archived == False
|
||||
).all()
|
||||
if not document_ids:
|
||||
return 0
|
||||
document_ids = [result[0] for result in document_ids]
|
||||
document_segments = db.session.query(DocumentSegment).filter(DocumentSegment.document_id.in_(document_ids),
|
||||
DocumentSegment.tenant_id == tenant_id,
|
||||
DocumentSegment.completed_at.isnot(None),
|
||||
DocumentSegment.enabled == True,
|
||||
).all()
|
||||
if not document_segments:
|
||||
return 0
|
||||
|
||||
total_words_size = sum(document_segment.word_count * 3 for document_segment in document_segments)
|
||||
total_vector_size = 1536 * 4 * len(document_segments)
|
||||
|
||||
return total_words_size + total_vector_size
|
||||
|
||||
|
||||
class DocumentService:
|
||||
DEFAULT_RULES = {
|
||||
|
|
@ -488,7 +518,8 @@ class DocumentService:
|
|||
'score_threshold_enabled': False
|
||||
}
|
||||
|
||||
dataset.retrieval_model = document_data.get('retrieval_model') if document_data.get('retrieval_model') else default_retrieval_model
|
||||
dataset.retrieval_model = document_data.get('retrieval_model') if document_data.get(
|
||||
'retrieval_model') else default_retrieval_model
|
||||
|
||||
documents = []
|
||||
batch = time.strftime('%Y%m%d%H%M%S') + str(random.randint(100000, 999999))
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue