black shift

This commit is contained in:
berkay 2025-04-22 11:10:29 +03:00
parent d7f1da8de8
commit e5f88f2eb4
30 changed files with 671 additions and 521 deletions

View File

@ -23,26 +23,26 @@ class CommonHeaders(BaseModel):
tz: str = Header(None, alias="timezone"),
):
token = request.headers.get(api_config.ACCESS_TOKEN_TAG, None)
# Extract operation_id from the route
operation_id = None
if hasattr(request.scope.get('route'), 'operation_id'):
operation_id = request.scope.get('route').operation_id
if hasattr(request.scope.get("route"), "operation_id"):
operation_id = request.scope.get("route").operation_id
return cls(
language=language,
domain=domain,
timezone=tz,
token=token,
request=request,
language=language,
domain=domain,
timezone=tz,
token=token,
request=request,
response=response,
operation_id=operation_id
operation_id=operation_id,
)
def get_headers_dict(self):
"""Convert the headers to a dictionary format used in the application"""
import uuid
return {
"language": self.language or "",
"domain": self.domain or "",

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@ -5,13 +5,18 @@ from fastapi.responses import RedirectResponse
def create_events_if_any_cluster_set():
import Events
import Events
if not Events.__all__:
return
router_cluster_stack: list[RouterCluster] = [getattr(Events, e, None) for e in Events.__all__]
router_cluster_stack: list[RouterCluster] = [
getattr(Events, e, None) for e in Events.__all__
]
for router_cluster in router_cluster_stack:
event_cluster_stack: list[EventCluster] = list(router_cluster.event_clusters.values())
event_cluster_stack: list[EventCluster] = list(
router_cluster.event_clusters.values()
)
for event_cluster in event_cluster_stack:
print(f"Creating event:", event_cluster.name)
try:

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@ -200,7 +200,6 @@ def init_applications_for_tenant(super_user: BuildLivingSpace, db_session=None)
application_type="Dash",
description="Individual Page for tenant account view",
),
]
for list_of_created_app in list_of_created_apps:

View File

@ -22,7 +22,7 @@ def people_route_list(
List people endpoint
"""
token_object = TokenProvider.get_dict_from_redis(token=headers.token)
event_founder_dict = dict(endpoint_code=headers.operation_id, token=token_object)
event_founder_dict = dict(endpoint_code=headers.operation_id, token=token_object)
event_key = TokenProvider.retrieve_event_codes(**event_founder_dict)
FoundCluster = PeopleRouterCluster.get_event_cluster("PeopleList")
event_cluster_matched = FoundCluster.match_event(event_key=event_key)
@ -41,7 +41,7 @@ def people_route_create(
Create people endpoint
"""
token_object = TokenProvider.get_dict_from_redis(token=headers.token)
event_founder_dict = dict(endpoint_code=headers.operation_id, token=token_object)
event_founder_dict = dict(endpoint_code=headers.operation_id, token=token_object)
event_key = TokenProvider.retrieve_event_codes(**event_founder_dict)
FoundCluster = PeopleRouterCluster.get_event_cluster("PeopleCreate")
event_cluster_matched = FoundCluster.match_event(event_key=event_key)
@ -60,7 +60,7 @@ def people_route_update(
Update people endpoint
"""
token_object = TokenProvider.get_dict_from_redis(token=headers.token)
event_founder_dict = dict(endpoint_code=headers.operation_id, token=token_object)
event_founder_dict = dict(endpoint_code=headers.operation_id, token=token_object)
event_key = TokenProvider.retrieve_event_codes(**event_founder_dict)
FoundCluster = PeopleRouterCluster.get_event_cluster("PeopleUpdate")
event_cluster_matched = FoundCluster.match_event(event_key=event_key)

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@ -4,10 +4,8 @@ from fastapi import APIRouter
def get_routes() -> list[APIRouter]:
from .people.route import people_route
from .user.route import user_route
return [
user_route,
people_route
]
return [user_route, people_route]
def get_safe_endpoint_urls() -> list[tuple[str, str]]:

View File

@ -28,7 +28,9 @@ def user_list_route(
endpoint_code = "5bc09312-d3f2-4f47-baba-17c928706da8"
token = request.headers.get(api_config.ACCESS_TOKEN_TAG, None)
token_object = TokenProvider.get_dict_from_redis(token=token)
event_key = TokenProvider.retrieve_event_codes(endpoint_code=endpoint_code, token=token_object)
event_key = TokenProvider.retrieve_event_codes(
endpoint_code=endpoint_code, token=token_object
)
headers = {
"language": language or "",
"domain": domain or "",
@ -36,7 +38,9 @@ def user_list_route(
"tz": tz or "GMT+3",
"token": token,
}
event_cluster_matched = UserRouterCluster.get_event_cluster("UserList").match_event(event_key=event_key)
event_cluster_matched = UserRouterCluster.get_event_cluster("UserList").match_event(
event_key=event_key
)
response.headers["X-Header"] = "Test Header GET"
if runner_callable := event_cluster_matched.event_callable():
return runner_callable
@ -71,7 +75,9 @@ def user_create_route(
"tz": tz or "GMT+3",
"token": token,
}
event_cluster_matched = UserRouterCluster.get_event_cluster("UserCreate").match_event(event_key=event_key)
event_cluster_matched = UserRouterCluster.get_event_cluster(
"UserCreate"
).match_event(event_key=event_key)
response.headers["X-Header"] = "Test Header POST"
if runner_callable := event_cluster_matched.event_callable():
return runner_callable
@ -100,7 +106,9 @@ def user_update_route(request: Request, response: Response):
"tz": tz or "GMT+3",
"token": token,
}
event_cluster_matched = UserRouterCluster.get_event_cluster("UserUpdate").match_event(event_key=event_key)
event_cluster_matched = UserRouterCluster.get_event_cluster(
"UserUpdate"
).match_event(event_key=event_key)
response.headers["X-Header"] = "Test Header POST"
if runner_callable := event_cluster_matched.event_callable():
return runner_callable

View File

@ -2,31 +2,24 @@ from ApiControllers.abstracts.event_clusters import EventCluster, RouterCluster
from .supers_events import (
SupersPeopleCreateEvent,
SupersPeopleUpdateEvent,
SupersPeopleListEvent
SupersPeopleListEvent,
)
PeopleRouterCluster = RouterCluster(
name="PeopleRouterCluster"
)
PeopleRouterCluster = RouterCluster(name="PeopleRouterCluster")
PeopleEventClusterList = EventCluster(
name="PeopleList",
endpoint_uu_id="f102db46-031a-43e4-966a-dae6896f985b"
name="PeopleList", endpoint_uu_id="f102db46-031a-43e4-966a-dae6896f985b"
)
PeopleEventClusterList.add_event(SupersPeopleListEvent)
PeopleEventClusterCreate = EventCluster(
name="PeopleCreate",
endpoint_uu_id="eb465fde-337f-4b81-94cf-28c6d4f2b1b6"
name="PeopleCreate", endpoint_uu_id="eb465fde-337f-4b81-94cf-28c6d4f2b1b6"
)
PeopleEventClusterCreate.add_event(SupersPeopleCreateEvent)
PeopleEventClusterUpdate = EventCluster(
name="PeopleUpdate",
endpoint_uu_id="c9e5ba69-6915-43f5-8f9c-a5c2aa865b89"
name="PeopleUpdate", endpoint_uu_id="c9e5ba69-6915-43f5-8f9c-a5c2aa865b89"
)
PeopleEventClusterUpdate.add_event(SupersPeopleUpdateEvent)
PeopleRouterCluster.set_event_cluster(PeopleEventClusterList)
PeopleRouterCluster.set_event_cluster(PeopleEventClusterCreate)
PeopleRouterCluster.set_event_cluster(PeopleEventClusterUpdate)

View File

@ -1,29 +1,24 @@
from ApiControllers.abstracts.event_clusters import EventCluster, RouterCluster
from .supers_events import (
SuperUsersListEvent,
SuperUsersCreateEvent,
SuperUsersListEvent,
SuperUsersCreateEvent,
SuperUsersUpdateEvent,
)
UserRouterCluster = RouterCluster(
name="UserRouterCluster"
)
UserRouterCluster = RouterCluster(name="UserRouterCluster")
UserEventClusterList = EventCluster(
name="UserList",
endpoint_uu_id="5bc09312-d3f2-4f47-baba-17c928706da8"
name="UserList", endpoint_uu_id="5bc09312-d3f2-4f47-baba-17c928706da8"
)
UserEventClusterList.add_event(SuperUsersListEvent)
UserEventClusterCreate = EventCluster(
name="UserCreate",
endpoint_uu_id="08d4b572-1584-47bb-aa42-8d068e5514e7"
name="UserCreate", endpoint_uu_id="08d4b572-1584-47bb-aa42-8d068e5514e7"
)
UserEventClusterCreate.add_event(SuperUsersCreateEvent)
UserEventClusterUpdate = EventCluster(
name="UserUpdate",
endpoint_uu_id="b641236a-928d-4f19-a1d2-5edf611d1e56"
name="UserUpdate", endpoint_uu_id="b641236a-928d-4f19-a1d2-5edf611d1e56"
)
UserEventClusterUpdate.add_event(SuperUsersUpdateEvent)

View File

@ -71,6 +71,7 @@ def supers_users_create_callable():
},
}
SuperUsersCreateEvent.event_callable = supers_users_create_callable
# Update endpoint
@ -96,4 +97,5 @@ def supers_users_update_callable():
},
}
SuperUsersUpdateEvent.event_callable = supers_users_update_callable

View File

@ -11,7 +11,7 @@ from config import api_config
def create_events_if_any_cluster_set():
from events import retrieve_all_clusters
from events import retrieve_all_clusters
for event_cluster in retrieve_all_clusters():
for event in event_cluster.retrieve_all_event_clusters:

View File

@ -1,10 +1,9 @@
from .template.cluster import (
TemplateEventClusterSet
)
from .template.cluster import TemplateEventClusterSet
__all__ = [
"TemplateEventClusterSet",
]
def retrieve_all_clusters():
return [TemplateEventClusterSet]
return [TemplateEventClusterSet]

View File

@ -1,4 +1,7 @@
from ApiServices.TemplateService.initializer.event_clusters import EventCluster, SetEventCluster
from ApiServices.TemplateService.initializer.event_clusters import (
EventCluster,
SetEventCluster,
)
TemplateEventCluster = EventCluster(
@ -12,4 +15,3 @@ OtherTemplateEventCluster = EventCluster(
TemplateEventClusterSet = SetEventCluster()
TemplateEventClusterSet.add_event_cluster(TemplateEventCluster)
TemplateEventClusterSet.add_event_cluster(OtherTemplateEventCluster)

View File

@ -6,6 +6,7 @@ class EventCluster:
"""
EventCluster
"""
def __init__(self, endpoint_uu_id: str):
self.endpoint_uu_id = endpoint_uu_id
self.events = []
@ -96,13 +97,17 @@ class SetEventCluster:
"""
SetEventCluster
"""
list_of_event_clusters: list[EventCluster] = []
def add_event_cluster(self, event_cluster: EventCluster):
"""
Add an event cluster to the set
"""
endpoint_uu_id_list = [event_cluster_uuid.endpoint_uu_id for event_cluster_uuid in self.list_of_event_clusters]
endpoint_uu_id_list = [
event_cluster_uuid.endpoint_uu_id
for event_cluster_uuid in self.list_of_event_clusters
]
if event_cluster.endpoint_uu_id not in endpoint_uu_id_list:
self.list_of_event_clusters.append(event_cluster)

View File

@ -30,46 +30,46 @@ T = TypeVar("T")
class EmailProcessingContext:
"""Context manager for email processing that marks emails as unread if an error occurs."""
def __init__(self, email_message, mark_as_read: bool = True):
self.email_message = email_message
self.mark_as_read = mark_as_read
self.success = False
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
if exc_type is not None or not self.success:
# If an exception occurred or processing wasn't successful, mark as unread
try:
if hasattr(self.email_message, 'mark_as_unread'):
if hasattr(self.email_message, "mark_as_unread"):
self.email_message.mark_as_unread()
print(f"[EMAIL_SERVICE] Marked email as UNREAD due to processing error: {exc_val if exc_val else 'Unknown error'}")
print(
f"[EMAIL_SERVICE] Marked email as UNREAD due to processing error: {exc_val if exc_val else 'Unknown error'}"
)
except Exception as e:
print(f"[EMAIL_SERVICE] Failed to mark email as unread: {str(e)}")
elif self.mark_as_read:
# If processing was successful and mark_as_read is True, ensure it's marked as read
try:
if hasattr(self.email_message, 'mark_as_read'):
if hasattr(self.email_message, "mark_as_read"):
self.email_message.mark_as_read()
except Exception as e:
print(f"[EMAIL_SERVICE] Failed to mark email as read: {str(e)}")
return False # Don't suppress exceptions
def publish_payload_to_redis(
payload, filename: str, mail_info: dict
) -> bool:
def publish_payload_to_redis(payload, filename: str, mail_info: dict) -> bool:
# Create message document
# Use base64 encoding for binary payloads to ensure proper transmission
if isinstance(payload, bytes):
encoded_payload = base64.b64encode(payload).decode('utf-8')
encoded_payload = base64.b64encode(payload).decode("utf-8")
is_base64 = True
else:
encoded_payload = payload
is_base64 = False
message = {
"filename": filename,
"payload": encoded_payload,
@ -79,12 +79,14 @@ def publish_payload_to_redis(
"uuid": str(uuid4()), # Use UUID
**mail_info,
}
# Publish to Redis channel
result = redis_pubsub.publisher.publish(REDIS_CHANNEL, message)
if result.status:
print(f"[EMAIL_SERVICE] Published message with filename: {filename} to channel: {REDIS_CHANNEL}")
print(
f"[EMAIL_SERVICE] Published message with filename: {filename} to channel: {REDIS_CHANNEL}"
)
return True
else:
print(f"[EMAIL_SERVICE] Publish error: {result.error}")
@ -126,7 +128,7 @@ def app():
port = Config.EMAIL_PORT
username = Config.EMAIL_USERNAME
password = Config.EMAIL_PASSWORD
box = EmailBox(host=host, port=port, username=username, password=password)
if not box:
return Exception("Mailbox not found")
@ -136,41 +138,51 @@ def app():
filter_mail = OR(FROM(Config.MAILBOX), FROM(Config.MAIN_MAIL))
filter_print = f"{Config.MAILBOX} & {Config.MAIN_MAIL}"
# Determine if this is the first run of the day
# Determine if this is the first run of the day
# Store last run date in a file
last_run_file = "/tmp/email_service_last_run.json"
current_date = datetime.now().strftime("%Y-%m-%d")
days_to_check, full_check = 7, 90 # Default to 7 days
try:
if os.path.exists(last_run_file):
with open(last_run_file, 'r') as f:
with open(last_run_file, "r") as f:
last_run_data = json.load(f)
last_run_date = last_run_data.get('last_run_date')
last_run_date = last_run_data.get("last_run_date")
# If this is the first run of a new day, check 90 days
if last_run_date != current_date:
days_to_check = full_check
print(f"[EMAIL_SERVICE] First run of the day. Checking emails from the past {days_to_check} days")
print(
f"[EMAIL_SERVICE] First run of the day. Checking emails from the past {days_to_check} days"
)
else:
print(f"[EMAIL_SERVICE] Subsequent run today. Checking emails from the past {days_to_check} days")
print(
f"[EMAIL_SERVICE] Subsequent run today. Checking emails from the past {days_to_check} days"
)
else:
# If no last run file exists, this is the first run ever - check 90 days
days_to_check = full_check
print(f"[EMAIL_SERVICE] First run detected. Checking emails from the past {days_to_check} days")
print(
f"[EMAIL_SERVICE] First run detected. Checking emails from the past {days_to_check} days"
)
except Exception as e:
print(f"[EMAIL_SERVICE] Error reading last run file: {str(e)}. Using default of {days_to_check} days")
print(
f"[EMAIL_SERVICE] Error reading last run file: {str(e)}. Using default of {days_to_check} days"
)
# Update the last run file
try:
with open(last_run_file, 'w') as f:
json.dump({'last_run_date': current_date}, f)
with open(last_run_file, "w") as f:
json.dump({"last_run_date": current_date}, f)
except Exception as e:
print(f"[EMAIL_SERVICE] Error writing last run file: {str(e)}")
# Calculate the date to check from
check_since_date = (datetime.now() - timedelta(days=days_to_check)).strftime("%d-%b-%Y")
check_since_date = (datetime.now() - timedelta(days=days_to_check)).strftime(
"%d-%b-%Y"
)
for folder in mail_folders:
if folder.name == "INBOX":
# Search for emails since the calculated date
@ -184,27 +196,33 @@ def app():
# Use context manager to handle errors and mark email as unread if needed
with EmailProcessingContext(banks_mail) as ctx:
try:
headers = {k.lower(): v for k, v in banks_mail.headers.items()}
headers = {
k.lower(): v for k, v in banks_mail.headers.items()
}
mail_info = {
"from": headers["from"],
"to": headers["to"],
"subject": headers["subject"],
"date": str(headers["date"]),
}
# Process the email and publish to Redis
success = read_email_and_publish_to_redis(
email_message=email_message, mail_info=mail_info
)
# Set success flag for the context manager
ctx.success = success
if success:
print(f"[EMAIL_SERVICE] Successfully processed email with subject: {mail_info['subject']}")
print(
f"[EMAIL_SERVICE] Successfully processed email with subject: {mail_info['subject']}"
)
else:
print(f"[EMAIL_SERVICE] No matching attachments found in email with subject: {mail_info['subject']}")
print(
f"[EMAIL_SERVICE] No matching attachments found in email with subject: {mail_info['subject']}"
)
except Exception as e:
print(f"[EMAIL_SERVICE] Error processing email: {str(e)}")
# The context manager will mark the email as unread
@ -213,8 +231,8 @@ def app():
if __name__ == "__main__":
print("=== Starting Email Service with Redis Pub/Sub ===")
print(f"Publishing to channel: {REDIS_CHANNEL}")
time.sleep(20) # Wait for 20 seconds to other services to kick in
time.sleep(20) # Wait for 20 seconds to other services to kick in
while True:
print("\n[EMAIL_SERVICE] Checking for new emails...")
app()

View File

@ -18,14 +18,16 @@ REDIS_CHANNEL_OUT = "parser" # Publish to Parser Service channel
delimiter = "|"
def publish_parsed_data_to_redis(data, collected_data_dict: list[dict], filename: str) -> bool:
def publish_parsed_data_to_redis(
data, collected_data_dict: list[dict], filename: str
) -> bool:
"""Publish parsed data to Redis.
Args:
data: Original message data from Redis
collected_data_dict: Parsed data from Excel file
filename: Name of the processed file
Returns:
bool: Success status
"""
@ -40,16 +42,18 @@ def publish_parsed_data_to_redis(data, collected_data_dict: list[dict], filename
else:
message["parsed"] = None
message["stage"] = "not found" # Mark as 'not found' if parsing failed
# Add processing timestamp
message["parsed_at"] = str(arrow.now())
message["filename"] = filename
# Publish to Redis channel
result = redis_pubsub.publisher.publish(REDIS_CHANNEL_OUT, message)
if result.status:
print(f"[PARSER_SERVICE] Published parsed data for {filename} with stage: {message['stage']}")
print(
f"[PARSER_SERVICE] Published parsed data for {filename} with stage: {message['stage']}"
)
return True
else:
print(f"[PARSER_SERVICE] Publish error: {result.error}")
@ -58,10 +62,10 @@ def publish_parsed_data_to_redis(data, collected_data_dict: list[dict], filename
def parse_excel_file(excel_frame: DataFrame) -> list[dict]:
"""Parse Excel file data.
Args:
excel_frame: DataFrame containing Excel data
Returns:
list[dict]: List of parsed data dictionaries
"""
@ -76,13 +80,17 @@ def parse_excel_file(excel_frame: DataFrame) -> list[dict]:
dict(
iban=str(iban),
bank_date=arrow.get(
datetime.datetime.strptime(str(row[1]), "%d/%m/%Y-%H:%M:%S")
datetime.datetime.strptime(
str(row[1]), "%d/%m/%Y-%H:%M:%S"
)
).__str__(),
channel_branch=unidecode(str(row[3])),
currency_value=(
float(str(row[4]).replace(",", "")) if row[4] else 0
),
balance=float(str(row[5]).replace(",", "")) if row[5] else 0,
balance=(
float(str(row[5]).replace(",", "")) if row[5] else 0
),
additional_balance=(
float(str(row[6]).replace(",", "")) if row[6] else 0
),
@ -92,7 +100,9 @@ def parse_excel_file(excel_frame: DataFrame) -> list[dict]:
bank_reference_code=str(row[15]),
)
)
print(f"[PARSER_SERVICE] Successfully parsed {len(data_list)} records from Excel file")
print(
f"[PARSER_SERVICE] Successfully parsed {len(data_list)} records from Excel file"
)
except Exception as e:
print(f"[PARSER_SERVICE] Error parsing Excel file: {str(e)}")
return data_list
@ -100,13 +110,13 @@ def parse_excel_file(excel_frame: DataFrame) -> list[dict]:
def process_message(message):
"""Process a message from Redis.
Args:
message: Message data from Redis subscriber
"""
# Extract the message data
data = message["data"]
# If data is a string, parse it as JSON
if isinstance(data, str):
try:
@ -114,7 +124,7 @@ def process_message(message):
except json.JSONDecodeError as e:
print(f"[PARSER_SERVICE] Error parsing message data: {e}")
return
# Check if stage is 'red' before processing
if data.get("stage") == "red":
try:
@ -122,91 +132,109 @@ def process_message(message):
payload = data.get("payload")
is_base64 = data.get("is_base64", False)
print(f"[PARSER_SERVICE] Processing file: {filename}")
# Handle base64-encoded payload
if is_base64 and isinstance(payload, str):
try:
# Decode base64 string to bytes
payload = base64.b64decode(payload)
print(f"[PARSER_SERVICE] Successfully decoded base64 payload, size: {len(payload)} bytes")
print(
f"[PARSER_SERVICE] Successfully decoded base64 payload, size: {len(payload)} bytes"
)
except Exception as e:
print(f"[PARSER_SERVICE] Error decoding base64 payload: {str(e)}")
# Convert regular string payload to bytes if needed
elif isinstance(payload, str):
payload = payload.encode('utf-8')
payload = payload.encode("utf-8")
# Create an in-memory file-like object and try multiple approaches
excel_frame = None
errors = []
# Save payload to a temporary file for debugging if needed
temp_file_path = f"/tmp/{filename}"
try:
with open(temp_file_path, 'wb') as f:
with open(temp_file_path, "wb") as f:
f.write(payload)
print(f"[PARSER_SERVICE] Saved payload to {temp_file_path} for debugging")
print(
f"[PARSER_SERVICE] Saved payload to {temp_file_path} for debugging"
)
except Exception as e:
print(f"[PARSER_SERVICE] Could not save debug file: {str(e)}")
# Try different approaches to read the Excel file
approaches = [
# Approach 1: Try xlrd for .xls files
lambda: DataFrame(read_excel(io.BytesIO(payload), engine='xlrd')) if filename.lower().endswith('.xls') else None,
lambda: (
DataFrame(read_excel(io.BytesIO(payload), engine="xlrd"))
if filename.lower().endswith(".xls")
else None
),
# Approach 2: Try openpyxl for .xlsx files
lambda: DataFrame(read_excel(io.BytesIO(payload), engine='openpyxl')) if filename.lower().endswith('.xlsx') else None,
lambda: (
DataFrame(read_excel(io.BytesIO(payload), engine="openpyxl"))
if filename.lower().endswith(".xlsx")
else None
),
# Approach 3: Try xlrd with explicit sheet name
lambda: DataFrame(read_excel(io.BytesIO(payload), engine='xlrd', sheet_name=0)),
lambda: DataFrame(
read_excel(io.BytesIO(payload), engine="xlrd", sheet_name=0)
),
# Approach 4: Try with temporary file
lambda: DataFrame(read_excel(temp_file_path)),
]
# Try each approach until one works
for i, approach in enumerate(approaches):
try:
result = approach()
if result is not None:
excel_frame = result
print(f"[PARSER_SERVICE] Successfully read Excel file using approach {i+1}")
print(
f"[PARSER_SERVICE] Successfully read Excel file using approach {i+1}"
)
break
except Exception as e:
errors.append(f"Approach {i+1}: {str(e)}")
# If all approaches failed, raise an exception
if excel_frame is None:
error_details = "\n".join(errors)
raise Exception(f"Failed to read Excel file using all approaches:\n{error_details}")
raise Exception(
f"Failed to read Excel file using all approaches:\n{error_details}"
)
# Extract data from the Excel file
collected_data_dict = parse_excel_file(excel_frame)
# Publish parsed data to Redis
publish_parsed_data_to_redis(
data=data,
collected_data_dict=collected_data_dict,
filename=filename
data=data, collected_data_dict=collected_data_dict, filename=filename
)
except Exception as e:
print(f"[PARSER_SERVICE] Error processing message: {str(e)}")
else:
print(f"[PARSER_SERVICE] Skipped message with UUID: {data.get('uuid')} (stage is not 'red')")
print(
f"[PARSER_SERVICE] Skipped message with UUID: {data.get('uuid')} (stage is not 'red')"
)
def app():
"""Main application function."""
print("[PARSER_SERVICE] Starting Parser Service")
# Subscribe to the input channel
result = redis_pubsub.subscriber.subscribe(REDIS_CHANNEL_IN, process_message)
if result.status:
print(f"[PARSER_SERVICE] Subscribed to channel: {REDIS_CHANNEL_IN}")
else:
print(f"[PARSER_SERVICE] Subscribe error: {result.error}")
return
# Start listening for messages
listen_result = redis_pubsub.subscriber.start_listening(in_thread=True)
if listen_result.status:
print("[PARSER_SERVICE] Listening for messages")
else:
@ -217,7 +245,7 @@ def app():
if __name__ == "__main__":
# Initialize the app once
app()
# Keep the main thread alive
try:
while True:

View File

@ -11,13 +11,13 @@ def render_email_template(
) -> str:
"""
Render the HTML email template with the provided data.
Args:
headers: List of column headers for the table
rows: List of data rows for the table
balance_error: Flag indicating if there's a balance discrepancy
bank_balance: Current bank balance formatted as string
Returns:
Rendered HTML template as string
"""
@ -25,7 +25,7 @@ def render_email_template(
# Look for template in ServiceDepends directory
env = Environment(loader=FileSystemLoader("/"))
template = env.get_template("template_accounts.html")
# Render template with variables
return template.render(
headers=headers,
@ -35,7 +35,7 @@ def render_email_template(
today=str(arrow.now().date()),
)
except Exception as e:
print('Exception render template:',e)
print("Exception render template:", e)
err = e
raise
@ -43,25 +43,25 @@ def render_email_template(
def send_email_to_given_address(send_to: str, html_template: str) -> bool:
"""
Send email with the rendered HTML template to the specified address.
Args:
send_to: Email address of the recipient
html_template: Rendered HTML template content
Returns:
Boolean indicating if the email was sent successfully
"""
today = arrow.now()
subject = f"{str(today.date())} Gunes Apt. Cari Durum Bilgilendirme Raporu"
# Create email parameters using EmailSendModel
email_params = EmailSendModel(
subject=subject,
html=html_template,
receivers=[send_to],
text=f"Gunes Apt. Cari Durum Bilgilendirme Raporu - {today.date()}"
text=f"Gunes Apt. Cari Durum Bilgilendirme Raporu - {today.date()}",
)
try:
# Use the context manager to handle connection errors
with EmailService.new_session() as email_session:
@ -69,63 +69,74 @@ def send_email_to_given_address(send_to: str, html_template: str) -> bool:
EmailService.send_email(email_session, email_params)
return True
except Exception as e:
print(f'Exception send email: {e}')
print(f"Exception send email: {e}")
return False
def set_account_records_to_send_email() -> bool:
"""
Retrieve account records from the database, format them, and send an email report.
Usage:
from app import set_account_records_to_send_email
Returns:
Boolean indicating if the process completed successfully
"""
# Get database session and retrieve records
with AccountRecords.new_session() as db_session:
account_records_query = AccountRecords.filter_all(db=db_session).query
# Get the 3 most recent records
account_records: List[AccountRecords] | [] = (
account_records_query.order_by(
AccountRecords.bank_date.desc(),
AccountRecords.bank_reference_code.desc()
AccountRecords.bank_date.desc(),
AccountRecords.bank_reference_code.desc(),
)
.limit(3)
.all()
)
# Check if we have enough records
if len(account_records) < 2:
return False
# Check for balance discrepancy
first_record, second_record = account_records[0], account_records[1]
expected_second_balance = first_record.bank_balance - first_record.currency_value
expected_second_balance = (
first_record.bank_balance - first_record.currency_value
)
balance_error = expected_second_balance != second_record.bank_balance
if balance_error:
return False
# Format rows for the email template
list_of_rows = []
for record in account_records:
list_of_rows.append([
record.bank_date.strftime("%d/%m/%Y %H:%M"),
record.process_comment,
f"{record.currency_value:,.2f}",
f"{record.bank_balance:,.2f}"
])
list_of_rows.append(
[
record.bank_date.strftime("%d/%m/%Y %H:%M"),
record.process_comment,
f"{record.currency_value:,.2f}",
f"{record.bank_balance:,.2f}",
]
)
# Get the most recent bank balance
last_bank_balance = sorted(account_records, key=lambda x: x.bank_date, reverse=True)[0].bank_balance
last_bank_balance = sorted(
account_records, key=lambda x: x.bank_date, reverse=True
)[0].bank_balance
# Define headers for the table
headers = ["Ulaştığı Tarih", "Banka Transaksiyonu Ek Bilgi", "Aktarım Değeri", "Banka Bakiyesi"]
headers = [
"Ulaştığı Tarih",
"Banka Transaksiyonu Ek Bilgi",
"Aktarım Değeri",
"Banka Bakiyesi",
]
# Recipient email address
send_to = "karatay@mehmetkaratay.com.tr"
# Render email template
html_template = render_email_template(
headers=headers,
@ -133,7 +144,7 @@ def set_account_records_to_send_email() -> bool:
balance_error=balance_error,
bank_balance=f"{last_bank_balance:,.2f}",
)
# Send the email
return send_email_to_given_address(send_to=send_to, html_template=html_template)

View File

@ -12,13 +12,13 @@ def render_email_template(
) -> str:
"""
Render the HTML email template with the provided data.
Args:
headers: List of column headers for the table
rows: List of data rows for the table
balance_error: Flag indicating if there's a balance discrepancy
bank_balance: Current bank balance formatted as string
Returns:
Rendered HTML template as string
"""
@ -26,7 +26,7 @@ def render_email_template(
# Look for template in ServiceDepends directory
env = Environment(loader=FileSystemLoader("/"))
template = env.get_template("template_accounts.html")
return template.render(
headers=headers,
rows=rows,
@ -35,32 +35,34 @@ def render_email_template(
today=str(arrow.now().date()),
)
except Exception as e:
print(f'Template rendering failed: {e}')
print(f"Template rendering failed: {e}")
raise
def send_email_to_given_address(send_to: str, html_template: str, count_of_records: int) -> bool:
def send_email_to_given_address(
send_to: str, html_template: str, count_of_records: int
) -> bool:
"""
Send email with the rendered HTML template to the specified address.
Args:
send_to: Email address of the recipient
html_template: Rendered HTML template content
Returns:
Boolean indicating if the email was sent successfully
"""
today = arrow.now()
subject = f"{str(today.date())} Gunes Apt. Cari Durum Kayıt Giriş Raporu"
# Create email parameters using EmailSendModel
email_params = EmailSendModel(
subject=subject + f" ({count_of_records} kayıt)",
html=html_template,
receivers=[send_to],
text=f"Gunes Apt. Cari Durum Kayıt Giriş Raporu - {today.date()}"
text=f"Gunes Apt. Cari Durum Kayıt Giriş Raporu - {today.date()}",
)
try:
# Use the context manager to handle connection errors
with EmailService.new_session() as email_session:
@ -69,17 +71,17 @@ def send_email_to_given_address(send_to: str, html_template: str, count_of_recor
print(f"Email successfully sent to: {send_to}")
return True
except Exception as e:
print(f'Failed to send email: {e}')
print(f"Failed to send email: {e}")
return False
def process_unsent_email_records() -> bool:
"""
Process account records that haven't been emailed yet.
Finds records with is_email_send=False, formats them into an email,
sends the email, and updates the records as sent if successful.
Returns:
bool: True if email was sent successfully, False otherwise
"""
@ -87,42 +89,55 @@ def process_unsent_email_records() -> bool:
# Use the context manager to handle database connections
with AccountRecords.new_session() as db_session:
# Query un-sent mail rows - with limit for display only
account_records_query = AccountRecords.filter_all(
AccountRecords.is_email_send == False,
db=db_session,
).query.order_by(AccountRecords.bank_date.asc()).limit(20)
account_records_query = (
AccountRecords.filter_all(
AccountRecords.is_email_send == False,
db=db_session,
)
.query.order_by(AccountRecords.bank_date.asc())
.limit(20)
)
account_records: List[AccountRecords] = account_records_query.all()
if not account_records:
print("No unsent email records found")
return False
# Get the IDs of the records we're processing
record_ids = [record.id for record in account_records]
print(f"Found {len(account_records)} unsent email records")
# Format rows for the email template
list_of_rows = []
for record in account_records:
list_of_rows.append([
record.bank_date.strftime("%d/%m/%Y %H:%M"),
record.process_comment,
f"{record.currency_value:,.2f}",
f"{record.bank_balance:,.2f}"
])
list_of_rows.append(
[
record.bank_date.strftime("%d/%m/%Y %H:%M"),
record.process_comment,
f"{record.currency_value:,.2f}",
f"{record.bank_balance:,.2f}",
]
)
# Reverse list by date
list_of_rows = list_of_rows[::-1]
# Get the most recent bank balance
last_bank_balance = sorted(account_records, key=lambda x: x.bank_date, reverse=True)[0].bank_balance
last_bank_balance = sorted(
account_records, key=lambda x: x.bank_date, reverse=True
)[0].bank_balance
# Define headers for the table
headers = ["Ulaştığı Tarih", "Banka Transaksiyonu Ek Bilgi", "Aktarım Değeri", "Banka Bakiyesi"]
headers = [
"Ulaştığı Tarih",
"Banka Transaksiyonu Ek Bilgi",
"Aktarım Değeri",
"Banka Bakiyesi",
]
# Recipient email address
send_to = "karatay@mehmetkaratay.com.tr"
# Render email template
html_template = render_email_template(
headers=headers,
@ -130,32 +145,35 @@ def process_unsent_email_records() -> bool:
balance_error=False,
bank_balance=f"{last_bank_balance:,.2f}",
)
# Send the email
if send_email_to_given_address(send_to=send_to, html_template=html_template, count_of_records=len(list_of_rows)):
if send_email_to_given_address(
send_to=send_to,
html_template=html_template,
count_of_records=len(list_of_rows),
):
# Create a new query without limit for updating
update_query = AccountRecords.filter_all(
AccountRecords.id.in_(record_ids),
db=db_session
AccountRecords.id.in_(record_ids), db=db_session
).query
# Update records as sent
update_query.update({"is_email_send": True}, synchronize_session=False)
AccountRecords.save(db_session)
print(f"Successfully marked {len(account_records)} records as sent")
return True
print("Email sending failed, records not updated")
return False
except Exception as e:
print(f'Error processing unsent email records: {e}')
print(f"Error processing unsent email records: {e}")
return False
if __name__ == "__main__":
print("Starting Email Sender Service")
while True:
try:
result = process_unsent_email_records()
@ -165,7 +183,7 @@ if __name__ == "__main__":
print("No emails sent in this iteration")
except Exception as e:
print(f"Unexpected error in main loop: {e}")
# Sleep for 60 seconds before next check
print("Sleeping for 60 seconds")
time.sleep(60)

View File

@ -22,7 +22,7 @@ class Config:
class EmailConfig:
EMAIL_HOST: str = os.getenv("EMAIL_HOST", "10.10.2.34")
EMAIL_HOST: str = os.getenv("EMAIL_HOST", "10.10.2.34")
EMAIL_USERNAME: str = Config.EMAIL_SENDER_USERNAME
EMAIL_PASSWORD: str = Config.EMAIL_PASSWORD
EMAIL_PORT: int = Config.EMAIL_SEND_PORT

View File

@ -18,28 +18,30 @@ delimiter = "|"
def publish_written_data_to_redis(data: Dict[str, Any], file_name: str) -> bool:
"""Publish written data status to Redis.
Args:
data: Original message data from Redis
file_name: Name of the processed file
Returns:
bool: Success status
"""
# Create a copy of the original message to preserve metadata
message = data.copy() if isinstance(data, dict) else {}
# Update stage to 'written'
message["stage"] = "written"
# Add processing timestamp
message["written_at"] = str(arrow.now())
# Publish to Redis channel
result = redis_pubsub.publisher.publish(REDIS_CHANNEL_OUT, message)
if result.status:
print(f"[WRITER_SERVICE] Published written status for {file_name} with stage: written")
print(
f"[WRITER_SERVICE] Published written status for {file_name} with stage: written"
)
return True
else:
print(f"[WRITER_SERVICE] Publish error: {result.error}")
@ -48,10 +50,10 @@ def publish_written_data_to_redis(data: Dict[str, Any], file_name: str) -> bool:
def write_parsed_data_to_account_records(data_dict: dict, file_name: str) -> bool:
"""Write parsed data to account records database.
Args:
data_dict: Parsed data dictionary
Returns:
bool: True if record was created or already exists, False on error
"""
@ -61,8 +63,8 @@ def write_parsed_data_to_account_records(data_dict: dict, file_name: str) -> boo
data_dict["bank_balance"] = data_dict.pop("balance")
data_dict["import_file_name"] = file_name
data_dict = BankReceive(**data_dict).model_dump()
print('data_dict', data_dict)
print("data_dict", data_dict)
# Process date fields
bank_date = arrow.get(str(data_dict["bank_date"]))
data_dict["bank_date_w"] = bank_date.weekday()
@ -70,7 +72,7 @@ def write_parsed_data_to_account_records(data_dict: dict, file_name: str) -> boo
data_dict["bank_date_d"] = bank_date.day
data_dict["bank_date_y"] = bank_date.year
data_dict["bank_date"] = str(bank_date)
# Add build information if available
if build_iban := BuildIbans.filter_by_one(
iban=data_dict["iban"], db=db_session
@ -81,7 +83,7 @@ def write_parsed_data_to_account_records(data_dict: dict, file_name: str) -> boo
"build_uu_id": build_iban.build_uu_id,
}
)
# Create new record or find existing one using specific fields for matching
new_account_record = AccountRecords.find_or_create(
db=db_session,
@ -90,16 +92,20 @@ def write_parsed_data_to_account_records(data_dict: dict, file_name: str) -> boo
AccountRecords.bank_date,
AccountRecords.iban,
AccountRecords.bank_reference_code,
AccountRecords.bank_balance
]
AccountRecords.bank_balance,
],
)
if new_account_record.meta_data.created:
new_account_record.is_confirmed = True
new_account_record.save(db=db_session)
print(f"[WRITER_SERVICE] Created new record in database: {new_account_record.id}")
print(
f"[WRITER_SERVICE] Created new record in database: {new_account_record.id}"
)
return True
else:
print(f"[WRITER_SERVICE] Record already exists in database: {new_account_record.id}")
print(
f"[WRITER_SERVICE] Record already exists in database: {new_account_record.id}"
)
return False
except Exception as e:
print(f"[WRITER_SERVICE] Error writing to database: {str(e)}")
@ -108,13 +114,13 @@ def write_parsed_data_to_account_records(data_dict: dict, file_name: str) -> boo
def process_message(message):
"""Process a message from Redis.
Args:
message: Message data from Redis subscriber
"""
# Extract the message data
data = message["data"]
# If data is a string, parse it as JSON
if isinstance(data, str):
try:
@ -122,51 +128,55 @@ def process_message(message):
except json.JSONDecodeError as e:
print(f"[WRITER_SERVICE] Error parsing message data: {e}")
return
# Check if stage is 'parsed' before processing
if data.get("stage") == "parsed":
try:
file_name = data.get("filename")
parsed_data = data.get("parsed")
print(f"[WRITER_SERVICE] Processing file: {file_name}")
if not parsed_data:
print(f"[WRITER_SERVICE] No parsed data found for {file_name}")
return
# Process each parsed data item
success = True
for item in parsed_data:
result = write_parsed_data_to_account_records(data_dict=item, file_name=file_name)
result = write_parsed_data_to_account_records(
data_dict=item, file_name=file_name
)
if not result:
success = False
# Publish status update to Redis if all records were processed
if success:
publish_written_data_to_redis(data=data, file_name=file_name)
except Exception as e:
print(f"[WRITER_SERVICE] Error processing message: {str(e)}")
else:
print(f"[WRITER_SERVICE] Skipped message with UUID: {data.get('uuid')} (stage is not 'parsed')")
print(
f"[WRITER_SERVICE] Skipped message with UUID: {data.get('uuid')} (stage is not 'parsed')"
)
def app():
"""Main application function."""
print("[WRITER_SERVICE] Starting Writer Service")
# Subscribe to the input channel
result = redis_pubsub.subscriber.subscribe(REDIS_CHANNEL_IN, process_message)
if result.status:
print(f"[WRITER_SERVICE] Subscribed to channel: {REDIS_CHANNEL_IN}")
else:
print(f"[WRITER_SERVICE] Subscribe error: {result.error}")
return
# Start listening for messages
listen_result = redis_pubsub.subscriber.start_listening(in_thread=True)
if listen_result.status:
print("[WRITER_SERVICE] Listening for messages")
else:
@ -177,7 +187,7 @@ def app():
if __name__ == "__main__":
# Initialize the app once
app()
# Keep the main thread alive
try:
while True:

View File

@ -63,7 +63,7 @@ class MongoDBHandler:
if not hasattr(self, "_initialized") or not self._initialized:
self._debug_mode = debug_mode
self._mock_mode = mock_mode
if mock_mode:
# In mock mode, we don't need a real connection string
self.uri = "mongodb://mock:27017/mockdb"
@ -76,7 +76,7 @@ class MongoDBHandler:
# Use the configured connection string with authentication
self.uri = mongo_configs.url
print(f"Connecting to MongoDB: {self.uri}")
# Define MongoDB client options with increased timeouts for better reliability
self.client_options = {
"maxPoolSize": 5,
@ -132,11 +132,13 @@ class CollectionContext:
# If we're in mock mode, return a mock collection immediately
if self.db_handler._mock_mode:
return self._create_mock_collection()
try:
# Create a new client connection
self.client = MongoClient(self.db_handler.uri, **self.db_handler.client_options)
self.client = MongoClient(
self.db_handler.uri, **self.db_handler.client_options
)
if self.db_handler._debug_mode:
# In debug mode, we explicitly use the configured DB
db_name = mongo_configs.DB
@ -148,7 +150,7 @@ class CollectionContext:
except Exception:
db_name = mongo_configs.DB
print(f"Using fallback database '{db_name}'")
self.collection = self.client[db_name][self.collection_name]
# Enhance collection methods with retry capabilities
@ -159,13 +161,17 @@ class CollectionContext:
if "Authentication failed" in str(e):
print(f"MongoDB authentication error: {e}")
print("Attempting to reconnect with direct connection...")
try:
# Try a direct connection without authentication for testing
direct_uri = f"mongodb://{mongo_configs.HOST}:{mongo_configs.PORT}/{mongo_configs.DB}"
print(f"Trying direct connection: {direct_uri}")
self.client = MongoClient(direct_uri, **self.db_handler.client_options)
self.collection = self.client[mongo_configs.DB][self.collection_name]
self.client = MongoClient(
direct_uri, **self.db_handler.client_options
)
self.collection = self.client[mongo_configs.DB][
self.collection_name
]
self._add_retry_capabilities()
return self.collection
except Exception as inner_e:
@ -181,54 +187,56 @@ class CollectionContext:
if self.client:
self.client.close()
self.client = None
return self._create_mock_collection()
def _create_mock_collection(self):
"""
Create a mock collection for testing or graceful degradation.
This prevents the application from crashing when MongoDB is unavailable.
Returns:
A mock MongoDB collection with simulated behaviors
"""
from unittest.mock import MagicMock
if self.db_handler._mock_mode:
print(f"MOCK MODE: Using mock collection '{self.collection_name}'")
else:
print(f"Using mock MongoDB collection '{self.collection_name}' for graceful degradation")
print(
f"Using mock MongoDB collection '{self.collection_name}' for graceful degradation"
)
# Create in-memory storage for this mock collection
if not hasattr(self.db_handler, '_mock_storage'):
if not hasattr(self.db_handler, "_mock_storage"):
self.db_handler._mock_storage = {}
if self.collection_name not in self.db_handler._mock_storage:
self.db_handler._mock_storage[self.collection_name] = []
mock_collection = MagicMock()
mock_data = self.db_handler._mock_storage[self.collection_name]
# Define behavior for find operations
def mock_find(query=None, *args, **kwargs):
# Simple implementation that returns all documents
return mock_data
def mock_find_one(query=None, *args, **kwargs):
# Simple implementation that returns the first matching document
if not mock_data:
return None
return mock_data[0]
def mock_insert_one(document, *args, **kwargs):
# Add _id if not present
if '_id' not in document:
document['_id'] = f"mock_id_{len(mock_data)}"
if "_id" not in document:
document["_id"] = f"mock_id_{len(mock_data)}"
mock_data.append(document)
result = MagicMock()
result.inserted_id = document['_id']
result.inserted_id = document["_id"]
return result
def mock_insert_many(documents, *args, **kwargs):
inserted_ids = []
for doc in documents:
@ -237,40 +245,40 @@ class CollectionContext:
result = MagicMock()
result.inserted_ids = inserted_ids
return result
def mock_update_one(query, update, *args, **kwargs):
result = MagicMock()
result.modified_count = 1
return result
def mock_update_many(query, update, *args, **kwargs):
result = MagicMock()
result.modified_count = len(mock_data)
return result
def mock_delete_one(query, *args, **kwargs):
result = MagicMock()
result.deleted_count = 1
if mock_data:
mock_data.pop(0) # Just remove the first item for simplicity
return result
def mock_delete_many(query, *args, **kwargs):
count = len(mock_data)
mock_data.clear()
result = MagicMock()
result.deleted_count = count
return result
def mock_count_documents(query, *args, **kwargs):
return len(mock_data)
def mock_aggregate(pipeline, *args, **kwargs):
return []
def mock_create_index(keys, **kwargs):
return f"mock_index_{keys}"
# Assign the mock implementations
mock_collection.find.side_effect = mock_find
mock_collection.find_one.side_effect = mock_find_one
@ -283,10 +291,10 @@ class CollectionContext:
mock_collection.count_documents.side_effect = mock_count_documents
mock_collection.aggregate.side_effect = mock_aggregate
mock_collection.create_index.side_effect = mock_create_index
# Add retry capabilities to the mock collection
self._add_retry_capabilities_to_mock(mock_collection)
self.collection = mock_collection
return self.collection
@ -322,17 +330,25 @@ class CollectionContext:
"""
Add retry capabilities to mock collection methods.
This is a simplified version that just wraps the mock methods.
Args:
mock_collection: The mock collection to enhance
"""
# List of common MongoDB collection methods to add retry capabilities to
methods = [
'insert_one', 'insert_many', 'find_one', 'find',
'update_one', 'update_many', 'delete_one', 'delete_many',
'replace_one', 'count_documents', 'aggregate'
"insert_one",
"insert_many",
"find_one",
"find",
"update_one",
"update_many",
"delete_one",
"delete_many",
"replace_one",
"count_documents",
"aggregate",
]
# Add retry decorator to each method
for method_name in methods:
if hasattr(mock_collection, method_name):
@ -340,7 +356,7 @@ class CollectionContext:
setattr(
mock_collection,
method_name,
retry_operation(max_retries=1, retry_interval=0)(original_method)
retry_operation(max_retries=1, retry_interval=0)(original_method),
)
def __exit__(self, exc_type, exc_val, exc_tb):

View File

@ -22,7 +22,7 @@ def test_basic_crud_operations():
# First, clear any existing data
users_collection.delete_many({})
print("Cleared existing data")
# Insert multiple documents
insert_result = users_collection.insert_many(
[
@ -58,7 +58,7 @@ def test_basic_crud_operations():
condition2 = admin_users and admin_users[0].get("username") == "jane"
condition3 = update_result.modified_count == 2
condition4 = delete_result.deleted_count == 1
print(f"Condition 1 (admin count): {condition1}")
print(f"Condition 2 (admin is jane): {condition2}")
print(f"Condition 3 (updated 2 users): {condition3}")
@ -80,7 +80,7 @@ def test_nested_documents():
# Clear any existing data
products_collection.delete_many({})
print("Cleared existing data")
# Insert a product with nested data
insert_result = products_collection.insert_one(
{
@ -110,15 +110,17 @@ def test_nested_documents():
print(f"Found updated laptop: {updated_laptop is not None}")
if updated_laptop:
print(f"Updated laptop specs: {updated_laptop.get('specs')}")
if 'specs' in updated_laptop:
if "specs" in updated_laptop:
print(f"Updated RAM: {updated_laptop['specs'].get('ram')}")
# Check each condition separately
condition1 = laptop is not None
condition2 = laptop and laptop.get('specs', {}).get('ram') == "16GB"
condition2 = laptop and laptop.get("specs", {}).get("ram") == "16GB"
condition3 = update_result.modified_count == 1
condition4 = updated_laptop and updated_laptop.get('specs', {}).get('ram') == "32GB"
condition4 = (
updated_laptop and updated_laptop.get("specs", {}).get("ram") == "32GB"
)
print(f"Condition 1 (laptop found): {condition1}")
print(f"Condition 2 (original RAM is 16GB): {condition2}")
print(f"Condition 3 (update modified 1 doc): {condition3}")
@ -140,7 +142,7 @@ def test_array_operations():
# Clear any existing data
orders_collection.delete_many({})
print("Cleared existing data")
# Insert an order with array of items
insert_result = orders_collection.insert_one(
{
@ -170,10 +172,12 @@ def test_array_operations():
# Verify the update
updated_order = orders_collection.find_one({"order_id": "ORD001"})
print(f"Found updated order: {updated_order is not None}")
if updated_order:
print(f"Number of items in order: {len(updated_order.get('items', []))}")
items = updated_order.get('items', [])
print(
f"Number of items in order: {len(updated_order.get('items', []))}"
)
items = updated_order.get("items", [])
if items:
last_item = items[-1] if items else None
print(f"Last item in order: {last_item}")
@ -181,9 +185,13 @@ def test_array_operations():
# Check each condition separately
condition1 = len(laptop_orders) == 1
condition2 = update_result.modified_count == 1
condition3 = updated_order and len(updated_order.get('items', [])) == 3
condition4 = updated_order and updated_order.get('items', []) and updated_order['items'][-1].get('product') == "Keyboard"
condition3 = updated_order and len(updated_order.get("items", [])) == 3
condition4 = (
updated_order
and updated_order.get("items", [])
and updated_order["items"][-1].get("product") == "Keyboard"
)
print(f"Condition 1 (found 1 laptop order): {condition1}")
print(f"Condition 2 (update modified 1 doc): {condition2}")
print(f"Condition 3 (order has 3 items): {condition3}")
@ -205,7 +213,7 @@ def test_aggregation():
# Clear any existing data
sales_collection.delete_many({})
print("Cleared existing data")
# Insert sample sales data
insert_result = sales_collection.insert_many(
[
@ -219,13 +227,13 @@ def test_aggregation():
# Calculate total sales by product - use a simpler aggregation pipeline
pipeline = [
{"$match": {}}, # Match all documents
{"$group": {"_id": "$product", "total": {"$sum": "$amount"}}}
{"$group": {"_id": "$product", "total": {"$sum": "$amount"}}},
]
# Execute the aggregation
sales_summary = list(sales_collection.aggregate(pipeline))
print(f"Aggregation returned {len(sales_summary)} results")
# Print the results for debugging
for item in sales_summary:
print(f"Product: {item.get('_id')}, Total: {item.get('total')}")
@ -233,7 +241,8 @@ def test_aggregation():
# Check each condition separately
condition1 = len(sales_summary) == 3
condition2 = any(
item.get("_id") == "Laptop" and abs(item.get("total", 0) - 999.99) < 0.01
item.get("_id") == "Laptop"
and abs(item.get("total", 0) - 999.99) < 0.01
for item in sales_summary
)
condition3 = any(
@ -241,10 +250,11 @@ def test_aggregation():
for item in sales_summary
)
condition4 = any(
item.get("_id") == "Keyboard" and abs(item.get("total", 0) - 59.99) < 0.01
item.get("_id") == "Keyboard"
and abs(item.get("total", 0) - 59.99) < 0.01
for item in sales_summary
)
print(f"Condition 1 (3 summary items): {condition1}")
print(f"Condition 2 (laptop total correct): {condition2}")
print(f"Condition 3 (mouse total correct): {condition3}")
@ -325,35 +335,37 @@ def test_complex_queries():
# Update with multiple conditions - split into separate operations for better compatibility
# First set the discount
products_collection.update_many(
{"price": {"$lt": 100}, "in_stock": True},
{"$set": {"discount": 0.1}}
{"price": {"$lt": 100}, "in_stock": True}, {"$set": {"discount": 0.1}}
)
# Then update the price
update_result = products_collection.update_many(
{"price": {"$lt": 100}, "in_stock": True},
{"$inc": {"price": -10}}
{"price": {"$lt": 100}, "in_stock": True}, {"$inc": {"price": -10}}
)
# Verify the update
updated_product = products_collection.find_one({"name": "Cheap Mouse"})
# Print debug information
print(f"Found expensive electronics: {len(expensive_electronics)}")
if expensive_electronics:
print(f"First expensive product: {expensive_electronics[0].get('name')}")
print(
f"First expensive product: {expensive_electronics[0].get('name')}"
)
print(f"Modified count: {update_result.modified_count}")
if updated_product:
print(f"Updated product price: {updated_product.get('price')}")
print(f"Updated product discount: {updated_product.get('discount')}")
# More flexible verification with approximate float comparison
success = (
len(expensive_electronics) >= 1
and expensive_electronics[0].get("name") in ["Expensive Laptop", "Laptop"]
and expensive_electronics[0].get("name")
in ["Expensive Laptop", "Laptop"]
and update_result.modified_count >= 1
and updated_product is not None
and updated_product.get("discount", 0) > 0 # Just check that discount exists and is positive
and updated_product.get("discount", 0)
> 0 # Just check that discount exists and is positive
)
print(f"Test {'passed' if success else 'failed'}")
return success
@ -368,48 +380,51 @@ def run_concurrent_operation_test(num_threads=100):
import time
import uuid
from concurrent.futures import ThreadPoolExecutor
print(f"\nStarting concurrent operation test with {num_threads} threads...")
# Results tracking
results = {"passed": 0, "failed": 0, "errors": []}
results_lock = threading.Lock()
def worker(thread_id):
# Create a unique collection name for this thread
collection_name = f"concurrent_test_{thread_id}"
try:
# Generate unique data for this thread
unique_id = str(uuid.uuid4())
with mongo_handler.collection(collection_name) as collection:
# Insert a document
collection.insert_one({
"thread_id": thread_id,
"uuid": unique_id,
"timestamp": time.time()
})
collection.insert_one(
{
"thread_id": thread_id,
"uuid": unique_id,
"timestamp": time.time(),
}
)
# Find the document
doc = collection.find_one({"thread_id": thread_id})
# Update the document
collection.update_one(
{"thread_id": thread_id},
{"$set": {"updated": True}}
{"thread_id": thread_id}, {"$set": {"updated": True}}
)
# Verify update
updated_doc = collection.find_one({"thread_id": thread_id})
# Clean up
collection.delete_many({"thread_id": thread_id})
success = (doc is not None and
updated_doc is not None and
updated_doc.get("updated") is True)
success = (
doc is not None
and updated_doc is not None
and updated_doc.get("updated") is True
)
# Update results with thread safety
with results_lock:
if success:
@ -421,15 +436,15 @@ def run_concurrent_operation_test(num_threads=100):
with results_lock:
results["failed"] += 1
results["errors"].append(f"Thread {thread_id} exception: {str(e)}")
# Create and start threads using a thread pool
start_time = time.time()
with ThreadPoolExecutor(max_workers=num_threads) as executor:
futures = [executor.submit(worker, i) for i in range(num_threads)]
# Calculate execution time
execution_time = time.time() - start_time
# Print results
print(f"\nConcurrent Operation Test Results:")
print(f"Total threads: {num_threads}")
@ -437,14 +452,16 @@ def run_concurrent_operation_test(num_threads=100):
print(f"Failed: {results['failed']}")
print(f"Execution time: {execution_time:.2f} seconds")
print(f"Operations per second: {num_threads / execution_time:.2f}")
if results["failed"] > 0:
print("\nErrors:")
for error in results["errors"][:10]: # Show only first 10 errors to avoid flooding output
for error in results["errors"][
:10
]: # Show only first 10 errors to avoid flooding output
print(f"- {error}")
if len(results["errors"]) > 10:
print(f"- ... and {len(results['errors']) - 10} more errors")
return results["failed"] == 0
@ -493,10 +510,10 @@ def run_all_tests():
if __name__ == "__main__":
mongo_handler = MongoDBHandler()
# Run standard tests first
passed, failed = run_all_tests()
# If all tests pass, run the concurrent operation test
if failed == 0:
run_concurrent_operation_test(10000)

View File

@ -1,14 +1,16 @@
"""
Test script for MongoDB handler with a local MongoDB instance.
"""
import os
from Controllers.Mongo.database import MongoDBHandler, CollectionContext
from datetime import datetime
# Create a custom handler class for local testing
class LocalMongoDBHandler(MongoDBHandler):
"""A MongoDB handler for local testing without authentication."""
def __init__(self):
"""Initialize with a direct MongoDB URI."""
self._initialized = False
@ -22,6 +24,7 @@ class LocalMongoDBHandler(MongoDBHandler):
}
self._initialized = True
# Create a custom handler for local testing
def create_local_handler():
"""Create a MongoDB handler for local testing."""
@ -29,35 +32,36 @@ def create_local_handler():
handler = LocalMongoDBHandler()
return handler
def test_connection_monitoring():
"""Test connection monitoring with the MongoDB handler."""
print("\nTesting connection monitoring...")
# Create a local handler
local_handler = create_local_handler()
# Add connection tracking to the handler
local_handler._open_connections = 0
# Modify the CollectionContext class to track connections
original_enter = CollectionContext.__enter__
original_exit = CollectionContext.__exit__
def tracked_enter(self):
result = original_enter(self)
self.db_handler._open_connections += 1
print(f"Connection opened. Total open: {self.db_handler._open_connections}")
return result
def tracked_exit(self, exc_type, exc_val, exc_tb):
self.db_handler._open_connections -= 1
print(f"Connection closed. Total open: {self.db_handler._open_connections}")
return original_exit(self, exc_type, exc_val, exc_tb)
# Apply the tracking methods
CollectionContext.__enter__ = tracked_enter
CollectionContext.__exit__ = tracked_exit
try:
# Test with multiple operations
for i in range(3):
@ -72,18 +76,19 @@ def test_connection_monitoring():
print(f"Operation failed: {e}")
except Exception as e:
print(f"Connection failed: {e}")
# Final connection count
print(f"\nFinal open connections: {local_handler._open_connections}")
if local_handler._open_connections == 0:
print("✅ All connections were properly closed")
else:
print(f"{local_handler._open_connections} connections remain open")
finally:
# Restore original methods
CollectionContext.__enter__ = original_enter
CollectionContext.__exit__ = original_exit
if __name__ == "__main__":
test_connection_monitoring()

View File

@ -38,4 +38,4 @@ class Configs(BaseSettings):
# singleton instance of the POSTGRESQL configuration settings
postgres_configs = Configs()
print('url', postgres_configs.url)
print("url", postgres_configs.url)

View File

@ -240,10 +240,10 @@ class CRUDModel:
exclude_args = exclude_args or []
exclude_args = [exclude_arg.key for exclude_arg in exclude_args]
include_args = include_args or []
include_args = [include_arg.key for include_arg in include_args]
# If include_args is provided, only use those fields for matching
# Otherwise, use all fields except those in exclude_args
for key, value in kwargs.items():

View File

@ -478,46 +478,48 @@ def run_simple_concurrent_test(num_threads=10):
import time
import random
from concurrent.futures import ThreadPoolExecutor
print(f"\nStarting simple concurrent test with {num_threads} threads...")
# Results tracking
results = {"passed": 0, "failed": 0, "errors": []}
results_lock = threading.Lock()
def worker(thread_id):
try:
# Simple query to test connection pooling
with EndpointRestriction.new_session() as db_session:
# Just run a simple count query
count_query = db_session.query(EndpointRestriction).count()
# Small delay to simulate work
time.sleep(random.uniform(0.01, 0.05))
# Simple success criteria
success = count_query >= 0
# Update results with thread safety
with results_lock:
if success:
results["passed"] += 1
else:
results["failed"] += 1
results["errors"].append(f"Thread {thread_id} failed to get count")
results["errors"].append(
f"Thread {thread_id} failed to get count"
)
except Exception as e:
with results_lock:
results["failed"] += 1
results["errors"].append(f"Thread {thread_id} exception: {str(e)}")
# Create and start threads using a thread pool
start_time = time.time()
with ThreadPoolExecutor(max_workers=num_threads) as executor:
futures = [executor.submit(worker, i) for i in range(num_threads)]
# Calculate execution time
execution_time = time.time() - start_time
# Print results
print(f"\nConcurrent Operation Test Results:")
print(f"Total threads: {num_threads}")
@ -525,21 +527,23 @@ def run_simple_concurrent_test(num_threads=10):
print(f"Failed: {results['failed']}")
print(f"Execution time: {execution_time:.2f} seconds")
print(f"Operations per second: {num_threads / execution_time:.2f}")
if results["failed"] > 0:
print("\nErrors:")
for error in results["errors"][:10]: # Show only first 10 errors to avoid flooding output
for error in results["errors"][
:10
]: # Show only first 10 errors to avoid flooding output
print(f"- {error}")
if len(results["errors"]) > 10:
print(f"- ... and {len(results['errors']) - 10} more errors")
return results["failed"] == 0
if __name__ == "__main__":
generate_table_in_postgres()
passed, failed = run_all_tests()
# If all tests pass, run the simple concurrent test
if failed == 0:
run_simple_concurrent_test(100)

View File

@ -8,17 +8,17 @@ from Controllers.Redis.response import RedisResponse
class RedisPublisher:
"""Redis Publisher class for broadcasting messages to channels."""
def __init__(self, redis_client=redis_cli):
self.redis_client = redis_client
def publish(self, channel: str, message: Union[Dict, List, str]) -> RedisResponse:
"""Publish a message to a Redis channel.
Args:
channel: The channel to publish to
message: The message to publish (will be JSON serialized if dict or list)
Returns:
RedisResponse with status and message
"""
@ -26,113 +26,124 @@ class RedisPublisher:
# Convert dict/list to JSON string if needed
if isinstance(message, (dict, list)):
message = json.dumps(message)
# Publish the message
recipient_count = self.redis_client.publish(channel, message)
return RedisResponse(
status=True,
message=f"Message published successfully to {channel}.",
data={"recipients": recipient_count}
data={"recipients": recipient_count},
)
except Exception as e:
return RedisResponse(
status=False,
message=f"Failed to publish message to {channel}.",
error=str(e)
error=str(e),
)
class RedisSubscriber:
"""Redis Subscriber class for listening to channels."""
def __init__(self, redis_client=redis_cli):
self.redis_client = redis_client
self.pubsub = self.redis_client.pubsub()
self.active_threads = {}
def subscribe(self, channel: str, callback: Callable[[Dict], None]) -> RedisResponse:
def subscribe(
self, channel: str, callback: Callable[[Dict], None]
) -> RedisResponse:
"""Subscribe to a Redis channel with a callback function.
Args:
channel: The channel to subscribe to
callback: Function to call when a message is received
Returns:
RedisResponse with status and message
"""
try:
# Subscribe to the channel
self.pubsub.subscribe(**{channel: self._message_handler(callback)})
return RedisResponse(
status=True,
message=f"Successfully subscribed to {channel}."
status=True, message=f"Successfully subscribed to {channel}."
)
except Exception as e:
return RedisResponse(
status=False,
message=f"Failed to subscribe to {channel}.",
error=str(e)
status=False, message=f"Failed to subscribe to {channel}.", error=str(e)
)
def psubscribe(self, pattern: str, callback: Callable[[Dict], None]) -> RedisResponse:
def psubscribe(
self, pattern: str, callback: Callable[[Dict], None]
) -> RedisResponse:
"""Subscribe to Redis channels matching a pattern.
Args:
pattern: The pattern to subscribe to (e.g., 'user.*')
callback: Function to call when a message is received
Returns:
RedisResponse with status and message
"""
try:
# Subscribe to the pattern
self.pubsub.psubscribe(**{pattern: self._message_handler(callback)})
return RedisResponse(
status=True,
message=f"Successfully pattern-subscribed to {pattern}."
status=True, message=f"Successfully pattern-subscribed to {pattern}."
)
except Exception as e:
return RedisResponse(
status=False,
message=f"Failed to pattern-subscribe to {pattern}.",
error=str(e)
error=str(e),
)
def _message_handler(self, callback: Callable[[Dict], None]):
"""Create a message handler function for the subscription."""
def handler(message):
# Skip subscription confirmation messages
if message['type'] in ('subscribe', 'psubscribe'):
if message["type"] in ("subscribe", "psubscribe"):
return
# Parse JSON if the message is a JSON string
data = message['data']
data = message["data"]
if isinstance(data, bytes):
data = data.decode('utf-8')
data = data.decode("utf-8")
try:
data = json.loads(data)
except json.JSONDecodeError:
# Not JSON, keep as is
pass
# Call the callback with the message data
callback({
'channel': message.get('channel', b'').decode('utf-8') if isinstance(message.get('channel', b''), bytes) else message.get('channel', ''),
'pattern': message.get('pattern', b'').decode('utf-8') if isinstance(message.get('pattern', b''), bytes) else message.get('pattern', ''),
'data': data
})
callback(
{
"channel": (
message.get("channel", b"").decode("utf-8")
if isinstance(message.get("channel", b""), bytes)
else message.get("channel", "")
),
"pattern": (
message.get("pattern", b"").decode("utf-8")
if isinstance(message.get("pattern", b""), bytes)
else message.get("pattern", "")
),
"data": data,
}
)
return handler
def start_listening(self, in_thread: bool = True) -> RedisResponse:
"""Start listening for messages on subscribed channels.
Args:
in_thread: If True, start listening in a separate thread
Returns:
RedisResponse with status and message
"""
@ -140,50 +151,41 @@ class RedisSubscriber:
if in_thread:
thread = Thread(target=self._listen_thread, daemon=True)
thread.start()
self.active_threads['listener'] = thread
self.active_threads["listener"] = thread
return RedisResponse(
status=True,
message="Listening thread started successfully."
status=True, message="Listening thread started successfully."
)
else:
# This will block the current thread
self._listen_thread()
return RedisResponse(
status=True,
message="Listening started successfully (blocking)."
status=True, message="Listening started successfully (blocking)."
)
except Exception as e:
return RedisResponse(
status=False,
message="Failed to start listening.",
error=str(e)
status=False, message="Failed to start listening.", error=str(e)
)
def _listen_thread(self):
"""Thread function for listening to messages."""
self.pubsub.run_in_thread(sleep_time=0.01)
def stop_listening(self) -> RedisResponse:
"""Stop listening for messages."""
try:
self.pubsub.close()
return RedisResponse(
status=True,
message="Successfully stopped listening."
)
return RedisResponse(status=True, message="Successfully stopped listening.")
except Exception as e:
return RedisResponse(
status=False,
message="Failed to stop listening.",
error=str(e)
status=False, message="Failed to stop listening.", error=str(e)
)
def unsubscribe(self, channel: Optional[str] = None) -> RedisResponse:
"""Unsubscribe from a channel or all channels.
Args:
channel: The channel to unsubscribe from, or None for all channels
Returns:
RedisResponse with status and message
"""
@ -194,24 +196,21 @@ class RedisSubscriber:
else:
self.pubsub.unsubscribe()
message = "Successfully unsubscribed from all channels."
return RedisResponse(
status=True,
message=message
)
return RedisResponse(status=True, message=message)
except Exception as e:
return RedisResponse(
status=False,
message=f"Failed to unsubscribe from {'channel' if channel else 'all channels'}.",
error=str(e)
error=str(e),
)
def punsubscribe(self, pattern: Optional[str] = None) -> RedisResponse:
"""Unsubscribe from a pattern or all patterns.
Args:
pattern: The pattern to unsubscribe from, or None for all patterns
Returns:
RedisResponse with status and message
"""
@ -222,24 +221,21 @@ class RedisSubscriber:
else:
self.pubsub.punsubscribe()
message = "Successfully unsubscribed from all patterns."
return RedisResponse(
status=True,
message=message
)
return RedisResponse(status=True, message=message)
except Exception as e:
return RedisResponse(
status=False,
message=f"Failed to unsubscribe from {'pattern' if pattern else 'all patterns'}.",
error=str(e)
error=str(e),
)
class RedisPubSub:
"""Singleton class that provides both publisher and subscriber functionality."""
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super(RedisPubSub, cls).__new__(cls)

View File

@ -15,6 +15,7 @@ CHANNEL_WRITER = "chain:writer"
# Flag to control the demo
running = True
def generate_mock_data():
"""Generate a mock message with UUID, timestamp, and sample data."""
return {
@ -24,40 +25,43 @@ def generate_mock_data():
"data": {
"value": f"Sample data {int(time.time())}",
"status": "new",
"counter": 0
}
"counter": 0,
},
}
def reader_function():
"""
First function in the chain.
Generates mock data and publishes to the reader channel.
"""
print("[READER] Function started")
while running:
# Generate mock data
message = generate_mock_data()
start_time = time.time()
message["start_time"] = start_time
# Publish to reader channel
result = redis_pubsub.publisher.publish(CHANNEL_READER, message)
if result.status:
print(f"[READER] {time.time():.6f} | Published UUID: {message['uuid']}")
else:
print(f"[READER] Publish error: {result.error}")
# Wait before generating next message
time.sleep(2)
def processor_function():
"""
Second function in the chain.
Subscribes to reader channel, processes messages, and publishes to processor channel.
"""
print("[PROCESSOR] Function started")
def on_reader_message(message):
# The message structure from the subscriber has 'data' containing our actual message
# If data is a string, parse it as JSON
@ -68,47 +72,51 @@ def processor_function():
except json.JSONDecodeError as e:
print(f"[PROCESSOR] Error parsing message data: {e}")
return
# Check if stage is 'red' before processing
if data.get("stage") == "red":
# Process the message
data["processor_timestamp"] = datetime.now().isoformat()
data["data"]["status"] = "processed"
data["data"]["counter"] += 1
# Update stage to 'processed'
data["stage"] = "processed"
# Add some processing metadata
data["processing"] = {
"duration_ms": 150, # Mock processing time
"processor_id": "main-processor"
"processor_id": "main-processor",
}
# Publish to processor channel
result = redis_pubsub.publisher.publish(CHANNEL_PROCESSOR, data)
if result.status:
print(f"[PROCESSOR] {time.time():.6f} | Received UUID: {data['uuid']} | Published UUID: {data['uuid']}")
print(
f"[PROCESSOR] {time.time():.6f} | Received UUID: {data['uuid']} | Published UUID: {data['uuid']}"
)
else:
print(f"[PROCESSOR] Publish error: {result.error}")
else:
print(f"[PROCESSOR] Skipped message: {data['uuid']} (stage is not 'red')")
# Subscribe to reader channel
result = redis_pubsub.subscriber.subscribe(CHANNEL_READER, on_reader_message)
if result.status:
print(f"[PROCESSOR] Subscribed to channel: {CHANNEL_READER}")
else:
print(f"[PROCESSOR] Subscribe error: {result.error}")
def writer_function():
"""
Third function in the chain.
Subscribes to processor channel and performs final processing.
"""
print("[WRITER] Function started")
def on_processor_message(message):
# The message structure from the subscriber has 'data' containing our actual message
# If data is a string, parse it as JSON
@ -119,42 +127,45 @@ def writer_function():
except json.JSONDecodeError as e:
print(f"[WRITER] Error parsing message data: {e}")
return
# Check if stage is 'processed' before processing
if data.get("stage") == "processed":
# Process the message
data["writer_timestamp"] = datetime.now().isoformat()
data["data"]["status"] = "completed"
data["data"]["counter"] += 1
# Update stage to 'completed'
data["stage"] = "completed"
# Add some writer metadata
data["storage"] = {
"location": "main-db",
"partition": "events-2025-04"
}
data["storage"] = {"location": "main-db", "partition": "events-2025-04"}
# Calculate elapsed time if start_time is available
current_time = time.time()
elapsed_ms = ""
if "start_time" in data:
elapsed_ms = f" | Elapsed: {(current_time - data['start_time']) * 1000:.2f}ms"
elapsed_ms = (
f" | Elapsed: {(current_time - data['start_time']) * 1000:.2f}ms"
)
# Optionally publish to writer channel for any downstream listeners
result = redis_pubsub.publisher.publish(CHANNEL_WRITER, data)
if result.status:
print(f"[WRITER] {current_time:.6f} | Received UUID: {data['uuid']} | Published UUID: {data['uuid']}{elapsed_ms}")
print(
f"[WRITER] {current_time:.6f} | Received UUID: {data['uuid']} | Published UUID: {data['uuid']}{elapsed_ms}"
)
else:
print(f"[WRITER] Publish error: {result.error}")
else:
print(f"[WRITER] Skipped message: {data['uuid']} (stage is not 'processed')")
print(
f"[WRITER] Skipped message: {data['uuid']} (stage is not 'processed')"
)
# Subscribe to processor channel
result = redis_pubsub.subscriber.subscribe(CHANNEL_PROCESSOR, on_processor_message)
if result.status:
print(f"[WRITER] Subscribed to channel: {CHANNEL_PROCESSOR}")
else:
@ -167,18 +178,18 @@ def run_demo():
print("Chain: READER → PROCESSOR → WRITER")
print(f"Channels: {CHANNEL_READER}{CHANNEL_PROCESSOR}{CHANNEL_WRITER}")
print("Format: [SERVICE] TIMESTAMP | Received/Published UUID | [Elapsed time]")
# Start the Redis subscriber listening thread
redis_pubsub.subscriber.start_listening()
# Start processor and writer functions (these subscribe to channels)
processor_function()
writer_function()
# Create a thread for the reader function (this publishes messages)
reader_thread = Thread(target=reader_function, daemon=True)
reader_thread.start()
# Keep the main thread alive
try:
while True:

View File

@ -41,15 +41,15 @@ class RedisConn:
# Add connection pooling settings if not provided
if "max_connections" not in self.config:
self.config["max_connections"] = 50 # Increased for better concurrency
# Add connection timeout settings
if "health_check_interval" not in self.config:
self.config["health_check_interval"] = 30 # Health check every 30 seconds
# Add retry settings for operations
if "retry_on_timeout" not in self.config:
self.config["retry_on_timeout"] = True
# Add connection pool settings for better performance
if "socket_keepalive" not in self.config:
self.config["socket_keepalive"] = True

View File

@ -113,56 +113,58 @@ def run_all_examples() -> None:
def run_concurrent_test(num_threads=100):
"""Run a comprehensive concurrent test with multiple threads to verify Redis connection handling."""
print(f"\nStarting comprehensive Redis concurrent test with {num_threads} threads...")
print(
f"\nStarting comprehensive Redis concurrent test with {num_threads} threads..."
)
# Results tracking with detailed metrics
results = {
"passed": 0,
"failed": 0,
"passed": 0,
"failed": 0,
"retried": 0,
"errors": [],
"operation_times": [],
"retry_count": 0,
"max_retries": 3,
"retry_delay": 0.1
"retry_delay": 0.1,
}
results_lock = threading.Lock()
def worker(thread_id):
# Track operation timing
start_time = time.time()
retry_count = 0
success = False
error_message = None
while retry_count <= results["max_retries"] and not success:
try:
# Generate unique key for this thread
unique_id = str(uuid.uuid4())[:8]
full_key = f"test:concurrent:{thread_id}:{unique_id}"
# Simple string operations instead of JSON
test_value = f"test-value-{thread_id}-{time.time()}"
# Set data in Redis with pipeline for efficiency
from Controllers.Redis.database import redis_cli
# Use pipeline to reduce network overhead
with redis_cli.pipeline() as pipe:
pipe.set(full_key, test_value)
pipe.get(full_key)
pipe.delete(full_key)
results_list = pipe.execute()
# Check results
set_ok = results_list[0]
retrieved_value = results_list[1]
if isinstance(retrieved_value, bytes):
retrieved_value = retrieved_value.decode('utf-8')
retrieved_value = retrieved_value.decode("utf-8")
# Verify data
success = set_ok and retrieved_value == test_value
if success:
break
else:
@ -170,26 +172,28 @@ def run_concurrent_test(num_threads=100):
retry_count += 1
with results_lock:
results["retry_count"] += 1
time.sleep(results["retry_delay"] * (2 ** retry_count)) # Exponential backoff
time.sleep(
results["retry_delay"] * (2**retry_count)
) # Exponential backoff
except Exception as e:
error_message = str(e)
retry_count += 1
with results_lock:
results["retry_count"] += 1
# Check if it's a connection error and retry
if "Too many connections" in str(e) or "Connection" in str(e):
# Exponential backoff for connection issues
backoff_time = results["retry_delay"] * (2 ** retry_count)
backoff_time = results["retry_delay"] * (2**retry_count)
time.sleep(backoff_time)
else:
# For other errors, use a smaller delay
time.sleep(results["retry_delay"])
# Record operation time
operation_time = time.time() - start_time
# Update results
with results_lock:
if success:
@ -200,26 +204,30 @@ def run_concurrent_test(num_threads=100):
else:
results["failed"] += 1
if error_message:
results["errors"].append(f"Thread {thread_id} failed after {retry_count} retries: {error_message}")
results["errors"].append(
f"Thread {thread_id} failed after {retry_count} retries: {error_message}"
)
else:
results["errors"].append(f"Thread {thread_id} failed after {retry_count} retries with unknown error")
results["errors"].append(
f"Thread {thread_id} failed after {retry_count} retries with unknown error"
)
# Create and start threads using a thread pool
start_time = time.time()
with concurrent.futures.ThreadPoolExecutor(max_workers=num_threads) as executor:
futures = [executor.submit(worker, i) for i in range(num_threads)]
concurrent.futures.wait(futures)
# Calculate execution time and performance metrics
execution_time = time.time() - start_time
ops_per_second = num_threads / execution_time if execution_time > 0 else 0
# Calculate additional metrics if we have successful operations
avg_op_time = 0
min_op_time = 0
max_op_time = 0
p95_op_time = 0
if results["operation_times"]:
avg_op_time = sum(results["operation_times"]) / len(results["operation_times"])
min_op_time = min(results["operation_times"])
@ -227,8 +235,12 @@ def run_concurrent_test(num_threads=100):
# Calculate 95th percentile
sorted_times = sorted(results["operation_times"])
p95_index = int(len(sorted_times) * 0.95)
p95_op_time = sorted_times[p95_index] if p95_index < len(sorted_times) else sorted_times[-1]
p95_op_time = (
sorted_times[p95_index]
if p95_index < len(sorted_times)
else sorted_times[-1]
)
# Print detailed results
print("\nConcurrent Redis Test Results:")
print(f"Total threads: {num_threads}")
@ -237,17 +249,17 @@ def run_concurrent_test(num_threads=100):
print(f"Operations with retries: {results['retried']}")
print(f"Total retry attempts: {results['retry_count']}")
print(f"Success rate: {(results['passed'] / num_threads) * 100:.2f}%")
print("\nPerformance Metrics:")
print(f"Total execution time: {execution_time:.2f} seconds")
print(f"Operations per second: {ops_per_second:.2f}")
if results["operation_times"]:
print(f"Average operation time: {avg_op_time * 1000:.2f} ms")
print(f"Minimum operation time: {min_op_time * 1000:.2f} ms")
print(f"Maximum operation time: {max_op_time * 1000:.2f} ms")
print(f"95th percentile operation time: {p95_op_time * 1000:.2f} ms")
# Print errors (limited to 10 for readability)
if results["errors"]:
print("\nErrors:")
@ -255,7 +267,7 @@ def run_concurrent_test(num_threads=100):
print(f"- {error}")
if len(results["errors"]) > 10:
print(f"- ... and {len(results['errors']) - 10} more errors")
# Return results for potential further analysis
return results
@ -263,6 +275,6 @@ def run_concurrent_test(num_threads=100):
if __name__ == "__main__":
# Run basic examples
run_all_examples()
# Run enhanced concurrent test
run_concurrent_test(10000)

View File

@ -351,9 +351,7 @@ class BuildParts(CrudCollection):
if build_type := BuildTypes.filter_by_one(
system=True, id=self.part_type_id, db=db
).data:
return (
f"{str(build_type.type_name).upper()} : {str(self.part_no).upper()}"
)
return f"{str(build_type.type_name).upper()} : {str(self.part_no).upper()}"
return f"Undefined:{str(build_type.type_name).upper()}"