(20241219) Safety Push.

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2024-12-19 17:25:40 +05:30
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"""
AUTHOR:
Khushal P Soonderji
DATE:
Thursday, 5th Dec., 2024
OBJECTIVE:
To create an interface between OpenAI and our internal system to perform LLM-based activities.
REFERENCES:
N/A
DOWNLOADS:
N/A
"""
# *****************************************************************************************************************
# ***** ****
# *** IMPORT ***
# ***** ****
# *****************************************************************************************************************
# To make sibling directories accessible for imports:
import sys
sys.path.append(".")
sys.path.append("..")
# My async utils:
from utils_v2.database.async_mongo_v2 import AsyncMongo
# Base model:
from controllers.base import BaseModel
# Data Models:
from models.core.user import CoreUserInfoModel
from models.core.ai.llm import LLMInput, LLMOutput, LLMUsageTokens
# To work with LLMs:
from langchain_openai import ChatOpenAI
# *****************************************************************************************************************
# ***** ****
# *** MACROS / ONE-TIME INIT ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** VARIABLES ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** FUNCTIONS ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** CLASSES ***
# ***** ****
# *****************************************************************************************************************
class CoreLLMController(BaseModel):
AI_USAGE_COLLECTION = "_aiUsage"
def __init__(
self,
llm_creds: dict,
cache = None,
alert_url = None,
http_client = None,
debug = True,
debug_prefix = "Model | ",
debug_only_errors = True
):
"""
This is the model that works with OpenAi's LLM to perform tasks like text completion.
:param llm_creds: The JSON that holds the credentials to access your OpenAI account. Should have the keys
'model', and 'openai_api_key'.
:param cache: The object to use for caching results from database calls.
:param alert_url: Which URL to call when something goes wrong.
:param http_client: The instance of an HTTP client to use when trying to send alerts and make other APIs.
:param debug: Whether, or not, you would like to print debugging messages:
:param debug_prefix: The prefix to print with the debugging messages.
:param debug_only_errors: Whether you would like to print only error messages or all messages.
:return: None.
"""
# Initialize the parent:
super().__init__(
cache = cache,
alert_url = alert_url,
http_client = http_client,
debug = debug,
debug_prefix = debug_prefix,
debug_only_errors = debug_only_errors
)
# Create the interface to the LLM:
self.__llm = ChatOpenAI(**llm_creds)
async def invoke(
self,
mongo_conn: AsyncMongo,
user_info: CoreUserInfoModel,
llm_input: LLMInput
) -> LLMOutput:
# Format the message as per the format of OpenAI:
prompt = [
{
"role": {"system": "system", "ai": "assistant", "human": "user"}[message.role],
"content": message.content
} for message in llm_input.messages
]
# Invoke the AI, and format the response:
llm_response = await self.__llm.ainvoke(prompt)
llm_response = LLMOutput(
messages = llm_input.messages,
output = llm_response.content,
client = "openai",
model = llm_response.response_metadata["model_name"],
tokens = LLMUsageTokens(
input = llm_response.usage_metadata["input_tokens"],
output = llm_response.usage_metadata["output_tokens"],
total = llm_response.usage_metadata["total_tokens"],
)
)
# Store this into MongoDB:
mongo_document = {"user": user_info.model_dump()}
for k, v in llm_response.model_dump().items(): mongo_document[k] = v
inserted_id = await mongo_conn.insert_one(
collection = self.AI_USAGE_COLLECTION,
document = mongo_document
)
if inserted_id: llm_response.invocationId = str(inserted_id)
# Done here:
return llm_response
# *****************************************************************************************************************
# ***** ****
# *** MAIN PROGRAM ***
# ***** ****
# *****************************************************************************************************************
if __name__ == "__main__":
pass
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"""
AUTHOR:
Khushal P Soonderji
DATE:
Thursday, 12th Dec., 2024
OBJECTIVE:
To handle all auth-tokens from one place.
REFERENCES:
N/A
DOWNLOADS:
N/A
"""
# *****************************************************************************************************************
# ***** ****
# *** IMPORT ***
# ***** ****
# *****************************************************************************************************************
# To make sibling directories accessible for imports:
import sys
sys.path.append(".")
sys.path.append("..")
# My async utils:
from utils_v2.string import json
from utils_v2.date_time import date_time
from utils_v2.database.async_mysql_v2 import AsyncMySQL
from utils_v2.database.async_mongo_v2 import AsyncMongo
# Base model:
from controllers.base import BaseModel
# Data models:
from models.core.auth_token import CoreAuthTokenModel
# To work with datatypes:
from typing import List
# To work with MongoDB:
from bson import ObjectId
# *****************************************************************************************************************
# ***** ****
# *** MACROS / ONE-TIME INIT ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** VARIABLES ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** FUNCTIONS ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** CLASSES ***
# ***** ****
# *****************************************************************************************************************
class CoreAuthTokenController(BaseModel):
# ┏┓┓ ┓┏
# ┃ ┃┏┓┏┏ ┃┃┏┓┏┓┏
# ┗┛┗┗┻┛┛ ┗┛┗┻┛ ┛
# For MongoDB:
AUTH_COLLECTION = "_authTokens"
async def get_token_key(
self,
db_conn: AsyncMySQL,
mongo_conn: AsyncMongo,
auth_token: CoreAuthTokenModel,
token_notes: dict,
session_token: str = None,
) -> ObjectId:
"""
Stores params from the session info and gives an identifier to use in the authorization URL. Use this when the
user requests an authorization URL to link your service to another service (like GMail).
:param db_conn: The database connection (MariaDB) to use to perform the action.
:param mongo_conn: The database connection (MongoDB) to use to perform the action.
:param auth_token: An instance of the core auth-token model that holds data in the database.
:param token_notes: Any notes to feed into MariaDB with the token identifier.
:param session_token: The session token of the user who requested this service.
:return: An ObjectId to later store the granted tokens.
"""
# Note down the timestamp at which this event occurred:
request_ts = date_time.get_current_utc_date_time(as_string = False)
# Get the identifier from the database if it already exists, else create one.
# BE CAREFUL WITH THE KEYS HERE, THEY SHOULD MATCH THE FIELDS OF THE CORE AUTH-TOKEN MODEL:
mongo_json = await mongo_conn.find_one_and_update(
collection = self.AUTH_COLLECTION,
filter = mongo_conn.dict_to_dot_notation({
"serviceType": auth_token.serviceType,
"user": {
"entityId": auth_token.user.entityId,
"billingAccountId": auth_token.user.billingAccountId
},
"clientUserId": auth_token.clientUserId
}),
update = {
"$set": {
"lastRequestTs": auth_token.lastRequestTs,
"status": auth_token.status,
"syncFreq": auth_token.syncFreq
},
"$setOnInsert": {
"key": auth_token.key,
"serviceType": auth_token.serviceType,
"client": auth_token.client,
"authType": auth_token.authType,
"user": auth_token.user.model_dump(),
"clientUserId": auth_token.clientUserId,
"auth": auth_token.auth,
"token": auth_token.token,
"firstRefreshTs": auth_token.firstRefreshTs,
"lastRefreshTs": auth_token.lastRefreshTs,
"firstRequestTs": auth_token.firstRequestTs or request_ts,
}
},
projection = {
"_id": True,
"key": True
},
upsert = True,
return_updated = True
)
# Tell MariaDB that an authorization request was initiated:
db_json = {}
if mongo_json is not None:
db_json = await self.call_procedure(
db_conn = db_conn,
proc_name = "entity_integration_save",
proc_args = (
auth_token.user.entityId, # ..................................... 'p_entity_id'
auth_token.client, # ............................................ 'p_provider'
auth_token.status, # ............................................ 'p_current_status'
"Auth Requested", # ............................................. 'p_last_action'
None, # ......................................................... 'p_display_name'
None, # ......................................................... 'p_display_picture'
mongo_json["key"], # ............................................ 'p_token_id'
json.to_string(python_data = token_notes, no_space = True), # ... 'p_notes'
auth_token.user.userId # ........................................ 'p_created_by'
),
session_token = session_token
)
# Done here:
return mongo_json["key"] if mongo_json and db_json.get("status") == 1 else None
async def set_token(
self,
db_conn: AsyncMySQL,
mongo_conn: AsyncMongo,
token_key: ObjectId | str,
auth_token: CoreAuthTokenModel,
token_notes: dict,
session_token: str = None
) -> bool:
"""
This method is to be called when the end user authorizes your service to connect to his third-party account. For
example, when the end user allows you to access his GMail account. USE THIS FOR UPDATING (REFRESHING) TOKENS
ALSO.
:param db_conn: The database connection (MariaDB) to use to perform the action.
:param mongo_conn: The database connection (MongoDB) to use to perform the action.
:param token_key: The identifier granted by the 'get_token_key' method.
:param auth_token: The actual auth/token data to be saved to the database.
:param token_notes: Any notes to feed into MariaDB with the token identifier.
:param session_token: The session token of the user who requested this service.
:return: True if saved, False if failed.
"""
# Start by assuming failure:
token_saved = False
# Note down the timestamp at which this event occurred:
request_ts = date_time.get_current_utc_date_time(as_string = False)
# Save the token to MongoDB.
# BE CAREFUL WITH THE KEYS HERE, THEY SHOULD MATCH THE FIELDS OF THE CORE AUTH-TOKEN MODEL:
mongo_json = await mongo_conn.find_one_and_update(
collection = self.AUTH_COLLECTION,
filter = mongo_conn.dict_to_dot_notation({
"key": ObjectId(token_key),
"clientUserId": auth_token.clientUserId
}),
update = [{
"$set": {
"auth": auth_token.auth,
"token": auth_token.token,
"status": auth_token.status,
"lastRefreshTs": request_ts,
"firstRefreshTs": {
"$cond": {
"if": {
"$or": [
{"$eq": ["$firstRefreshTs", None]},
{"$eq": [{"$type": "$firstRefreshTs"}, "missing"]}
]
},
"then": request_ts,
"else": "$firstRefreshTs"
}
}
}
}],
projection = {"token": False},
return_updated = True,
upsert = False
)
# Tell MariaDB that the token was saved:
if mongo_json is not None:
db_json = await self.call_procedure(
db_conn = db_conn,
proc_name = "entity_integration_save",
proc_args = (
mongo_json["user"]["entityId"], # ............................... 'p_entity_id'
mongo_json["client"], # ......................................... 'p_provider'
auth_token.status, # ............................................ 'p_current_status'
"Auth Granted", # ............................................... 'p_last_action'
auth_token.token.get("displayName"), # .......................... 'p_display_name'
auth_token.token.get("displayPictureUrl"), # .................... 'p_display_picture'
token_key, # .................................................... 'p_token_id'
json.to_string(python_data = token_notes, no_space = True), # ... 'p_notes'
auth_token.user.userId # ........................................ 'p_created_by'
),
session_token = session_token
)
if db_json["status"] == 1: token_saved = True
# Done here:
return token_saved
async def get_token_from_id(
self,
mongo_conn: AsyncMongo,
token_id: ObjectId | str = None,
) -> CoreAuthTokenModel | None:
"""
To retrieve stored tokens from the database. One token at a time.
:param mongo_conn: The database connection (MongoDB) to use to perform the action.
:param token_id: The identifier of the document that holds the token's details.
:return: The retrieved record that has the token, and information about the service and client if found, else
None when there is no matching record.
"""
# If there is some filtering possible, we fetch the token:
token = await mongo_conn.find_one(
collection = self.AUTH_COLLECTION,
filter = {"_id": ObjectId(token_id)}
)
# Done here:
return CoreAuthTokenModel(**token) if token else None
async def get_token_from_key(
self,
mongo_conn: AsyncMongo,
token_key: ObjectId | str = None,
) -> CoreAuthTokenModel | None:
"""
To retrieve stored tokens from the database. One token at a time.
:param mongo_conn: The database connection (MongoDB) to use to perform the action.
:param token_key: The identifier granted by the 'get_token_key' method.
:return: The retrieved record that has the token, and information about the service and client if found, else
None when there is no matching record.
"""
# If there is some filtering possible, we fetch the token:
token = await mongo_conn.find_one(
collection = self.AUTH_COLLECTION,
filter = {"key": ObjectId(token_key)}
)
# Done here:
return CoreAuthTokenModel(**token) if token else None
async def get_tokens_from_ids(
self,
mongo_conn: AsyncMongo,
token_ids: List[ObjectId | str] = None,
limit: int = 100
) -> List[CoreAuthTokenModel]:
"""
To retrieve stored tokens from the database. Multiple tokens at a time.
:param mongo_conn: The database connection (MongoDB) to use to perform the action.
:param token_ids: The identifier of the document that holds the token's details.
:param limit: The max. no. of records to pick.
:return: The retrieved record that has the token, and information about the service and client if found, else
None when there is no matching record.
"""
# If there is some filtering possible, we fetch the token:
tokens = await mongo_conn.find_many(
collection = self.AUTH_COLLECTION,
filter = {"_id": {"$in": [ObjectId(k) for k in token_ids]}},
limit = limit
)
# Done here:
return [CoreAuthTokenModel(**token) for token in tokens]
async def get_tokens_from_keys(
self,
mongo_conn: AsyncMongo,
token_keys: List[ObjectId | str] = None,
limit: int = 100
) -> List[CoreAuthTokenModel]:
"""
To retrieve stored tokens from the database. Multiple tokens at a time.
:param mongo_conn: The database connection (MongoDB) to use to perform the action.
:param token_keys: the identifiers granted by the 'get_token_key' method.
:param limit: The max. no. of records to pick.
:return: The retrieved record that has the token, and information about the service and client if found, else
None when there is no matching record.
"""
# If there is some filtering possible, we fetch the token:
tokens = await mongo_conn.find_many(
collection = self.AUTH_COLLECTION,
filter = {"key": {"$in": [ObjectId(k) for k in token_keys]}},
limit = limit
)
# Done here:
return [CoreAuthTokenModel(**token) for token in tokens]
# *****************************************************************************************************************
# ***** ****
# *** MAIN PROGRAM ***
# ***** ****
# *****************************************************************************************************************
if __name__ == "__main__":
pass
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"""
AUTHOR:
Khushal P Soonderji
DATE:
Tuesday, 22nd Oct., 2024
OBJECTIVE:
To provide an easy way to create models to handle documents for Bicree.
This is the base model for this microservice. It will define the structure for all other models that will be
used in this particular microservice.
REFERENCES:
N/A
DOWNLOADS:
N/A
"""
# *****************************************************************************************************************
# ***** ****
# *** IMPORT ***
# ***** ****
# *****************************************************************************************************************
# To make sibling directories accessible for imports:
import sys
sys.path.append(".")
sys.path.append("..")
# My utils:
from utils_v2.database.async_mysql_v2 import AsyncMySQL
from utils_v2.cache.async_redis_cache_v2 import AsyncRedisCache
from utils_v2.api.codes import StatusCodes
# For asynchronous activities:
import asyncio
# For debugging:
from icecream import IceCreamDebugger
# To work with datatypes:
from typing import List
# *****************************************************************************************************************
# ***** ****
# *** MACROS / ONE-TIME INIT ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** VARIABLES ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** FUNCTIONS ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** CLASSES ***
# ***** ****
# *****************************************************************************************************************
class BaseModel:
PREVIEW_LENGTH = 250
def __init__(
self,
cache = None,
alert_url = None,
http_client = None,
debug = True,
debug_prefix = "Model | ",
debug_only_errors = True
):
"""
This is the base model.
:param cache: The object to use for caching results from database calls.
:param debug: Whether, or not, you would like to print debugging messages:
:param debug_prefix: The prefix to print with the debugging messages.
:param debug_only_errors: Whether you would like to print only error messages or all messages.
:return: None.
"""
# Prepare the caching utility:
self._cache = cache
# For sending alerts:
self._alert_url = alert_url
self._http_client = http_client
# Prepare the debugging utility:
self._debug_prefix = debug_prefix
self._printer = IceCreamDebugger(prefix = debug_prefix, includeContext = True)
if not debug: self._printer.disable()
self._debug_only_errors = debug_only_errors
# A semaphore for activities that must absolutely be done one at a time:
self.__exclusive_semaphore = asyncio.Semaphore(1)
# A simple debugging output:
self._printer("Model initialized.")
def enable_terminal_print(self):
self._printer.enable()
def disable_terminal_print(self):
self._printer.disable()
def debug_only_errors(self):
self._debug_only_errors = True
def debug_everything(self):
self._debug_only_errors = False
async def send_alert(
self,
message: str,
session_token = None,
alert_type = "error"
):
"""
Sends out an alert (ideally through the tech module). This is meant to be used when some exception occurs, and
you want to be informed before the client complains.
:param message: The message to send out to the admins.
:param session_token: The session token of the user (optional) so that the alert message can display the name of
the user who faced the trouble.
:param alert_type: The type of alert to throw ("error", "warning", or "info").
:return: None.
"""
if self._http_client is not None and self._alert_url is not None:
response = await self._http_client.post(
url = self._alert_url,
headers = {"X-Session-Token": session_token} if session_token else None,
json = {
"message": message,
"type": alert_type
}
)
async def call_cached_procedure(
self,
cache: AsyncRedisCache,
cache_key: str,
cache_expiry: int,
db_conn: AsyncMySQL,
proc_name: str,
proc_args: tuple,
retry_count: int = 1,
backoff_seconds: float = 0.5,
backoff_multiplier: float = 1.1,
session_token: str = None
):
"""
Calls a stored procedure and returns the response as a JSON-like object (dict or list).
:param cache: The caching object to use to set the session in cache memory.
:param cache_key: The string to use as the key when caching the response.
:param cache_expiry: The no. of seconds after which this information will be deleted from the cache.
:param db_conn: The connection instance to use to call the procedure.
:param proc_name: The name of the stored procedure that must be called.
:param proc_args: The args to be sent to the stored procedure.
:param retry_count: The max. number of times to try in case one or more attempts fail.
:param backoff_seconds: The time to wait before making the next attempt if the retry count is more than 1.
:param backoff_multiplier: The factor that dictates how much to modify the time delay by when waiting to retry.
:param session_token: A session token to share with the tech module when alerts need to be sent out for any
occurrence of exceptions. If this is passed, the tech module will be able to tell you which user faced the
issue.
:return: The response from the stored procedure.
"""
# check for the data in cache:
data = await cache.get(cache_key)
# If the data isn't in the cache, call the procedure:
if data is None:
# Make the database call:
data = await self.call_procedure(
db_conn = db_conn,
proc_name = proc_name,
proc_args = proc_args,
retry_count = retry_count,
backoff_seconds = backoff_seconds,
backoff_multiplier = backoff_multiplier,
session_token = session_token
)
# If the database call succeeded, cache the response:
if isinstance(data, dict) and data["status"] == 1:
await cache.set(key = cache_key, value = data, expiry = cache_expiry)
# Done here:
return data
async def call_procedure(
self,
db_conn: AsyncMySQL,
proc_name: str,
proc_args: tuple,
retry_count: int = 1,
backoff_seconds: float = 0.5,
backoff_multiplier: float = 1.1,
session_token: str = None
):
"""
Calls a stored procedure and returns the response as a JSON-like object (dict or list).
:param db_conn: The connection instance to use to call the procedure.
:param proc_name: The name of the stored procedure that must be called.
:param proc_args: The args to be sent to the stored procedure.
:param retry_count: The max. number of times to try in case one or more attempts fail.
:param backoff_seconds: The time to wait before making the next attempt if the retry count is more than 1.
:param backoff_multiplier: The factor that dictates how much to modify the time delay by when waiting to retry.
:param session_token: A session token to share with the tech module when alerts need to be sent out for any
occurrence of exceptions. If this is passed, the tech module will be able to tell you which user faced the
issue.
:return: The response from the stored procedure.
"""
# Call the stored procedure:
db_json, exception = await db_conn.call_procedure_and_get_json(
proc_name,
proc_args,
retry_count = retry_count,
backoff_seconds = backoff_seconds,
backoff_multiplier = backoff_multiplier,
return_exception = True
)
# Understand the response:
success = True if db_json["status"] == 1 else False
message = db_json.get("message")
# Debugging print:
if not success or not self._debug_only_errors:
self._printer(proc_name, proc_args, success, exception, message)
# Send an alert out on exceptions:
if exception is not None:
# Format the message in Markdown format:
exception_string = str(exception).replace("`", "'")
formatted_message = f"*Module:*\n`{self._debug_prefix}`\n\n"
formatted_message += f"*Proc:*\n`{proc_name}`\n\n"
formatted_message += f"*Args:*\n`({', '.join([str(_) for _ in proc_args])})`\n\n"
formatted_message += f"*Arg-Types:*\n`({', '.join([type(_).__name__ for _ in proc_args])})`\n\n"
formatted_message += f"*Message:*\n`{message}`\n\n"
formatted_message += f"*Success:*\n`{success}`\n\n"
formatted_message += f"*Exception:*\n`{exception_string}`\n\n"
# Send the alert:
await self.send_alert(formatted_message, session_token = session_token)
# Return the response:
db_json["status_code"] = StatusCodes.OK if success else StatusCodes.FAILED
return db_json
async def execute_one(
self,
db_conn: AsyncMySQL,
query: str,
session_token: str = None
):
"""
Runs one query and sends an alert if that fails.
:param db_conn: The connection to use to run the query.
:param query: The query to run.
:param session_token: A session token to share with the tech module when alerts need to be sent out for any
occurrence of exceptions. If this is passed, the tech module will be able to tell you which user faced the
issue.
:return: The response from the database.
"""
# Run the query:
rows_affected, db_response, exception = await db_conn.execute_one(query = query, return_exception = True)
# Send an alert out on exceptions:
if exception is not None:
# Created needed previews:
query_preview = query if len(query) <= self.PREVIEW_LENGTH else query[:self.PREVIEW_LENGTH] + "..."
# Format the message in Markdown format:
formatted_message = f"*Module:*\n`{self._debug_prefix}`\n\n"
formatted_message += f"*Query:*\n`{query_preview}`\n\n"
formatted_message += f"*Rows Affected:*\n`{rows_affected}`\n\n"
formatted_message += f"*DB Response:*\n`{db_response}`\n\n"
formatted_message += f"*Exception:*\n`{exception}`\n\n"
# Send the alert:
await self.send_alert(formatted_message, session_token = session_token)
# Return the response:
return rows_affected, db_response
async def execute_many(
self,
db_conn: AsyncMySQL,
query: str,
data: List[tuple],
session_token: str = None
):
"""
Runs many queries and sends an alert if that fails.
:param db_conn: The connection to use to run the query.
:param query: The query to run.
:param data: The data to feed into the query.
:param session_token: A session token to share with the tech module when alerts need to be sent out for any
occurrence of exceptions. If this is passed, the tech module will be able to tell you which user faced the
issue.
:return: The response from the database.
"""
# Run the query:
rows_affected, db_response, exception = await db_conn.execute_many(
query = query,
data = data,
return_exception = True
)
# Send an alert out on exceptions:
if exception is not None:
# Created needed previews:
query_preview = query if len(query) <= self.PREVIEW_LENGTH else query[:self.PREVIEW_LENGTH] + "..."
data_preview = str(data)
if len(data_preview) > self.PREVIEW_LENGTH: data_preview = data_preview[:self.PREVIEW_LENGTH] + "..."
# Format the message in Markdown format:
formatted_message = f"*Module:*\n`{self._debug_prefix}`\n\n"
formatted_message += f"*Query:*\n`{query_preview}`\n\n"
formatted_message += f"*Data:*\n`{data_preview}`\n\n"
formatted_message += f"*Rows Affected:*\n`{rows_affected}`\n\n"
formatted_message += f"*DB Response:*\n`{db_response}`\n\n"
formatted_message += f"*Exception:*\n`{exception}`\n\n"
# Send the alert:
await self.send_alert(formatted_message, session_token = session_token)
# Return the response:
return rows_affected, db_response
# *****************************************************************************************************************
# ***** ****
# *** MAIN PROGRAM ***
# ***** ****
# *****************************************************************************************************************
if __name__ == "__main__":
pass
+399
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@@ -0,0 +1,399 @@
"""
AUTHOR:
Khushal P Soonderji
DATE:
Thursday, 12th Dec., 2024
OBJECTIVE:
To handle all messages from one place.
REFERENCES:
N/A
DOWNLOADS:
N/A
"""
# *****************************************************************************************************************
# ***** ****
# *** IMPORT ***
# ***** ****
# *****************************************************************************************************************
# To make sibling directories accessible for imports:
import sys
sys.path.append(".")
sys.path.append("..")
# For Quart:
from quart import current_app
# My async utils:
from utils_v2.string import json
from utils_v2.date_time import date_time
from utils_v2.database.async_mysql_v2 import AsyncMySQL
from utils_v2.database.async_mongo_v2 import AsyncMongo, AsyncMongoStorage
# Base model:
from controllers.base import BaseModel
# Data models:
from models.core.auth_token import CoreAuthTokenModel
from models.core.message import CoreMessageModel
from models.core.user import CoreUserInfoModel
# To work with MongoDB:
from bson import ObjectId
from pymongo import InsertOne, UpdateOne, ReplaceOne
# To work with datatypes:
from typing import Literal, List, Dict, Any
# To make deep-copies:
import copy
# To work with base-64 encoding:
import base64
# To work with date and time:
import datetime
# For asynchronous activities:
import asyncio
# *****************************************************************************************************************
# ***** ****
# *** MACROS / ONE-TIME INIT ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** VARIABLES ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** FUNCTIONS ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** CLASSES ***
# ***** ****
# *****************************************************************************************************************
class CoreMessageController(BaseModel):
# ┏┓┓ ┓┏
# ┃ ┃┏┓┏┏ ┃┃┏┓┏┓┏
# ┗┛┗┗┻┛┛ ┗┛┗┻┛ ┛
# For MongoDB:
MESSAGES_COLLECTION = "_messages"
# ┏┓┳┓┳┳┳┓ ┏┓
# ┃ ┣┫┃┃┃┃ ━━ ┃ ┏┓┏┓┏┓╋┏┓
# ┗┛┛┗┗┛┻┛ ┗┛┛ ┗ ┗┻┗┗
async def insert(
self,
mongo_conn: AsyncMongo,
message: CoreMessageModel
) -> ObjectId:
"""
Simply insert one message document into the database.
:param mongo_conn: The instance of the database connector to use for the operation.
:param message: The message to save into the database.
:return: The object id of the inserted document.
"""
# Simply insert the document:
return await mongo_conn.insert_one(
collection = self.MESSAGES_COLLECTION,
document = message,
raise_exception = True
)
async def bulk_write(
self,
mongo_conn: AsyncMongo,
mongo_operations: list
) -> int:
"""
Needed in cases like forcing re-sync of mails where you need to perform actions like bulk replacements of
existing documents. Not recommended to use. Please use very carefully to ensure document integrity.
:param mongo_conn: The instance of the database connector to use for the operation.
:param mongo_operations: The list operations that are supported by MongoDB's Bulk Write system.
:return: The no. of documents affected.
"""
return await mongo_conn.bulk_write(
collection = self.MESSAGES_COLLECTION,
requests = mongo_operations,
raise_exception = True
)
# ┏┓┳┓┳┳┳┓ ┳┓ •
# ┃ ┣┫┃┃┃┃ ━━ ┣┫┏┓╋┏┓┓┏┓┓┏┏┓
# ┗┛┛┗┗┛┻┛ ┛┗┗ ┗┛ ┗┗ ┗┛┗
async def count_messages(
self,
mongo_conn: AsyncMongo,
token_ids: List[ObjectId | str],
additional_filter: dict = None
) -> int:
"""
Just counts the no. of messages that match a given set of conditions.
:param mongo_conn: The instance of the database connector to use for the operation.
:param token_ids: The token ids of the accounts from which these messages must be fetched.
:param additional_filter: Any addition filters to use.
:return: The no. of messages that match the given conditions.
"""
# Prepare the filter:
if not isinstance(token_ids, list): token_ids = [token_ids]
token_ids = [ObjectId(t) for t in token_ids]
filter_json = {"tokenId": {"$in": token_ids}}
if additional_filter:
for k, v in additional_filter.items():
filter_json[k] = v
# Get the count of the documents that match the criteria:
count = await mongo_conn.count(
collection = self.MESSAGES_COLLECTION,
filter = filter_json,
raise_exception = True
)
# Done here:
return count
async def get_previews(
self,
mongo_conn: AsyncMongo,
token_ids: List[ObjectId | str],
limit: int = 100,
skip: int = 0,
additional_filter: dict = None
) -> List[CoreMessageModel] | None:
"""
Fetches many messages in one call, but leaves out the full payloads.
:param mongo_conn: The instance of the database connector to use for the operation.
:param token_ids: The token ids of the accounts from which these messages must be fetched.
:param limit: The max. no. of messages to retrieve in this call.
:param skip: The no. of initial messages to skip. Useful for pagination.
:param additional_filter: Any addition filters to use.
:return: The list of messages (as the message model). This list can be empty.
"""
# Prepare the filter:
if not isinstance(token_ids, list): token_ids = [token_ids]
token_ids = [ObjectId(t) for t in token_ids]
filter_json = {"tokenId": {"$in": token_ids}}
if additional_filter:
for k, v in additional_filter.items():
filter_json[k] = v
# We fetch the messages that are identified by a specific token id,
# with the specified fetching limits, while enforcing the sorting condition:
records = await mongo_conn.find_many(
collection = self.MESSAGES_COLLECTION,
filter = filter_json,
limit = limit,
skip = skip,
sort = {"ts": -1},
projection = {
"_id": True,
"ts": True,
"syncTs": True,
"tokenId": True,
"serviceType": True,
"client": True,
"clientMessageId": True,
"clientThreadId": True,
"isSent": True,
"isBroadcast": True,
"sentSuccessfully": True,
"sender": True,
"chat": True,
"snippet": True,
"aiSnippet": True,
"tags": True
},
raise_exception = True
)
# Convert the fetched records to instances of the data model and return:
for record in records: record["message"] = {}
return [CoreMessageModel(**record) for record in records]
async def get_messages(
self,
mongo_conn: AsyncMongo,
token_ids: List[ObjectId | str],
limit: int = 100,
skip: int = 0,
additional_filter: dict = None
) -> List[CoreMessageModel] | None:
"""
Fetches many full messages in one call.
:param mongo_conn: The instance of the database connector to use for the operation.
:param token_ids: The token ids of the accounts from which these messages must be fetched.
:param limit: The max. no. of messages to retrieve in this call.
:param skip: The no. of initial messages to skip. Useful for pagination.
:param additional_filter: Any addition filters to use.
:return: The list of messages (as the message model). This list can be empty.
"""
# Prepare the filter:
if not isinstance(token_ids, list): token_ids = [token_ids]
token_ids = [ObjectId(t) for t in token_ids]
filter_json = {"tokenId": {"$in": token_ids}}
if additional_filter:
for k, v in additional_filter.items():
filter_json[k] = v
# We fetch the messages that are identified by a specific token id,
# with the specified fetching limits, while enforcing the sorting condition:
records = await mongo_conn.find_many(
collection = self.MESSAGES_COLLECTION,
filter = filter_json,
limit = limit,
skip = skip,
sort = {"ts": -1},
raise_exception = True
)
# Convert the fetched records to instances of the data model and return:
return [CoreMessageModel(**record) for record in records]
async def get_message(
self,
mongo_conn: AsyncMongo,
message_id: ObjectId | str,
) -> CoreMessageModel | None:
"""
Gets one message if you know its message id.
:param mongo_conn: The instance of the database connector to use for the operation.
:param message_id: The id of the message that needs to be read.
:return: The contents of that one message in a structured format.
"""
# We fetch the whole payload of that one message:
record = await mongo_conn.find_one(
collection = self.MESSAGES_COLLECTION,
filter = {"_id": ObjectId(message_id)},
raise_exception = True
)
# If no such message was found:
if record is None: return None
# If a record was found,
# we return it as our data model:
return CoreMessageModel(**record)
# ┏┓┳┓┳┳┳┓ ┳┳ ┓
# ┃ ┣┫┃┃┃┃ ━━ ┃┃┏┓┏┫┏┓╋┏┓
# ┗┛┛┗┗┛┻┛ ┗┛┣┛┗┻┗┻┗┗
# ┛
# We don't support updating messages themselves,
# but we will allow updating fields like tags, marking as read or unread, etc.
async def update_tags(
self,
mongo_conn: AsyncMongo,
message_id: ObjectId | str,
unset_tags: List[str] = None,
set_tags: List[str] = None
) -> bool:
"""
Updates the tags on one message. The tags to remove are processed first, the ones to add are processed later.
:param mongo_conn: The instance of the database connector to use for the operation.
:param message_id: The id of the message that needs to be read.
:param unset_tags: The tags to remove from the message.
:param set_tags: The tags to add to the message.
:return: True if the update was successful, else False.
"""
# Update the tags:
return await mongo_conn.update_one(
collection = self.MESSAGES_COLLECTION,
filter = {"_id": ObjectId(message_id)},
update = [{
"$set": {
"tags": {
"$let": {
"vars": {
"removed_tags": {
"$setDifference": [
"$tags",
unset_tags
]
}
},
"in": {
"$setUnion": [
"$$removed_tags",
set_tags
]
}
}
}
}
}],
raise_exception = True
)
# ┏┓┳┓┳┳┳┓ ┳┓ ┓
# ┃ ┣┫┃┃┃┃ ━━ ┃┃┏┓┃┏┓╋┏┓
# ┗┛┛┗┗┛┻┛ ┻┛┗ ┗┗ ┗┗
# No support whatsoever for deleting messages.
# *****************************************************************************************************************
# ***** ****
# *** MAIN PROGRAM ***
# ***** ****
# *****************************************************************************************************************
if __name__ == "__main__":
pass
+403
View File
@@ -0,0 +1,403 @@
"""
AUTHOR:
Khushal P Soonderji
DATE:
Monday, 16th Dec., 2024
OBJECTIVE:
To handle all payments from one place.
REFERENCES:
N/A
DOWNLOADS:
N/A
"""
# *****************************************************************************************************************
# ***** ****
# *** IMPORT ***
# ***** ****
# *****************************************************************************************************************
# To make sibling directories accessible for imports:
import sys
sys.path.append(".")
sys.path.append("..")
# For Quart:
from quart import current_app
# My async utils:
from utils_v2.string import json
from utils_v2.date_time import date_time
from utils_v2.database.async_mysql_v2 import AsyncMySQL
from utils_v2.database.async_mongo_v2 import AsyncMongo, AsyncMongoStorage
# Base model:
from controllers.base import BaseModel
# Data models:
from models.core.auth_token import CoreAuthTokenModel
from models.core.payment import CorePaymentModel, PaymentEvent
from models.core.user import CoreUserInfoModel
# To work with MongoDB:
from bson import ObjectId
from pymongo import InsertOne, UpdateOne, ReplaceOne
# To work with datatypes:
from typing import Literal, List, Dict, Any
# To make deep-copies:
import copy
# To work with base-64 encoding:
import base64
# To work with date and time:
import datetime
# For asynchronous activities:
import asyncio
# *****************************************************************************************************************
# ***** ****
# *** MACROS / ONE-TIME INIT ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** VARIABLES ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** FUNCTIONS ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** CLASSES ***
# ***** ****
# *****************************************************************************************************************
class CorePaymentController(BaseModel):
# ┏┓┓ ┓┏
# ┃ ┃┏┓┏┏ ┃┃┏┓┏┓┏
# ┗┛┗┗┻┛┛ ┗┛┗┻┛ ┛
# For MongoDB:
PAYMENTS_COLLECTION = "_payments"
# ┏┓┳┓┳┳┳┓ ┏┓
# ┃ ┣┫┃┃┃┃ ━━ ┃ ┏┓┏┓┏┓╋┏┓
# ┗┛┛┗┗┛┻┛ ┗┛┛ ┗ ┗┻┗┗
async def init(
self,
mongo_conn: AsyncMongo,
payment: CorePaymentModel
) -> ObjectId:
"""
Simply insert one payment document into the database.
:param mongo_conn: The instance of the database connector to use for the operation.
:param payment: The payment whose record needs to be saved in the database.
:return: The object id of the inserted document.
"""
# Receive te JSON:
payment_json = payment.model_dump()
payment_json.pop("_id")
# Simply insert the document:
return await mongo_conn.insert_one(
collection = self.PAYMENTS_COLLECTION,
document = payment_json,
raise_exception = True
)
# ┏┓┳┓┳┳┳┓ ┳┓ •
# ┃ ┣┫┃┃┃┃ ━━ ┣┫┏┓╋┏┓┓┏┓┓┏┏┓
# ┗┛┛┗┗┛┻┛ ┛┗┗ ┗┛ ┗┗ ┗┛┗
async def count_payments(
self,
mongo_conn: AsyncMongo,
token_ids: List[ObjectId | str],
additional_filter: dict = None
) -> int:
"""
Just counts the no. of payment records that match a given set of conditions.
:param mongo_conn: The instance of the database connector to use for the operation.
:param token_ids: The token ids of the accounts from which these payment details must be fetched.
:param additional_filter: Any addition filters to use.
:return: The no. of payment records that match the given conditions.
"""
# Prepare the filter:
if not isinstance(token_ids, list): token_ids = [token_ids]
token_ids = [ObjectId(t) for t in token_ids]
filter_json = {"tokenId": {"$in": token_ids}}
if additional_filter:
for k, v in additional_filter.items():
filter_json[k] = v
# Get the count of the documents that match the criteria:
count = await mongo_conn.count(
collection = self.PAYMENTS_COLLECTION,
filter = filter_json,
raise_exception = True
)
# Done here:
return count
async def get_payment_previews(
self,
mongo_conn: AsyncMongo,
token_ids: List[ObjectId | str],
limit: int = 100,
skip: int = 0,
additional_filter: dict = None
) -> List[CorePaymentModel] | None:
"""
Fetches many payment details in one call, but just their previews.
:param mongo_conn: The instance of the database connector to use for the operation.
:param token_ids: The token ids of the accounts from which these messages must be fetched.
:param limit: The max. no. of payment details to retrieve in this call.
:param skip: The no. of initial payment details to skip. Useful for pagination.
:param additional_filter: Any addition filters to use.
:return: The list of payments (as the payments model). This list can be empty.
"""
# Prepare the filter:
if not isinstance(token_ids, list): token_ids = [token_ids]
token_ids = [ObjectId(t) for t in token_ids]
filter_json = {"tokenId": {"$in": token_ids}}
if additional_filter:
for k, v in additional_filter.items():
filter_json[k] = v
# We fetch the messages that are identified by a specific token id,
# with the specified fetching limits, while enforcing the sorting condition:
records = await mongo_conn.find_many(
collection = self.PAYMENTS_COLLECTION,
filter = filter_json,
projection = {"events": False},
limit = limit,
skip = skip,
sort = {"ts": -1},
raise_exception = True
)
# Convert the fetched records to instances of the data model and return:
for record in records: record["events"] = []
return [CorePaymentModel(**record) for record in records]
async def get_payment(
self,
mongo_conn: AsyncMongo,
payment_id: ObjectId | str,
) -> CorePaymentModel | None:
"""
Gets one payment detail if you know its payment id.
:param mongo_conn: The instance of the database connector to use for the operation.
:param payment_id: The id of the payment detail that needs to be read.
:return: The contents of that one payment detail in a structured format.
"""
# We fetch the whole payload of that one message:
record = await mongo_conn.find_one(
collection = self.PAYMENTS_COLLECTION,
filter = {"_id": ObjectId(payment_id)},
raise_exception = True
)
# If no such message was found:
if record is None: return None
# If a record was found,
# we return it as our data model:
return CorePaymentModel(**record)
# ┏┓┳┓┳┳┳┓ ┳┳ ┓
# ┃ ┣┫┃┃┃┃ ━━ ┃┃┏┓┏┫┏┓╋┏┓
# ┗┛┛┗┗┛┻┛ ┗┛┣┛┗┻┗┻┗┗
# ┛
# We don't support updating payments themselves,
# but we will allow updating fields like tags, adding events, etc.
async def add_event_by_payment_id(
self,
mongo_conn: AsyncMongo,
payment_id: ObjectId | str,
event: PaymentEvent,
client_reference_id: str = None
) -> bool:
"""
Add an event to an existing record of a payment detail.
:param mongo_conn: The instance of the database connector to use for the operation.
:param payment_id: The id of the payment detail that needs to be read.
:param event: The event that occurred. This will typically be generated by the third-party client.
:param client_reference_id: The way the client identifies this payment. You need to pass this only on the first
event. Typically, when you initiate the payment request.
:return: True if successfully noted, else False.
"""
# Prepare the update document:
update_json = {
"$push": {
"events": event.model_dump()
},
"$set": {
"lastEventTs": event.eventTs,
"lastEventMessage": event.message,
"lastPaymentStatus": event.paymentStatus,
}
}
if client_reference_id: update_json["$set"]["clientPaymentReferenceId"] = client_reference_id
# Try to update the existing record:
return await mongo_conn.update_one(
collection = self.PAYMENTS_COLLECTION,
filter = {"_id": ObjectId(payment_id)},
update = update_json,
upsert = False,
raise_exception = True
)
async def add_event_by_client_reference_id(
self,
mongo_conn: AsyncMongo,
client_reference_id: str,
event: PaymentEvent,
) -> bool:
"""
Add an event to an existing record of a payment detail.
:param mongo_conn: The instance of the database connector to use for the operation.
:param event: The event that occurred. This will typically be generated by the third-party client.
:param client_reference_id: The way the client identifies this payment. You need to pass this only on the first
event. Typically, when you initiate the payment request.
:return: True if successfully noted, else False.
"""
# Prepare the update document:
update_json = {
"$push": {
"events": event.model_dump()
},
"$set": {
"lastEventTs": event.eventTs,
"lastEventMessage": event.message,
"lastPaymentStatus": event.paymentStatus
}
}
if client_reference_id: update_json["$set"]["clientPaymentReferenceId"] = client_reference_id
# Try to update the existing record:
return await mongo_conn.update_one(
collection = self.PAYMENTS_COLLECTION,
filter = {"clientPaymentReferenceId": client_reference_id},
update = update_json,
upsert = False,
raise_exception = True
)
async def update_tags(
self,
mongo_conn: AsyncMongo,
payment_id: ObjectId | str,
unset_tags: List[str] = None,
set_tags: List[str] = None
) -> bool:
"""
Updates the tags on one payment. The tags to remove are processed first, the ones to add are processed later.
:param mongo_conn: The instance of the database connector to use for the operation.
:param payment_id: The id of the payment detail that needs to be read.
:param unset_tags: The tags to remove from the payment record.
:param set_tags: The tags to add to the payment record.
:return: True if the update was successful, else False.
"""
# Update the tags:
return await mongo_conn.update_one(
collection = self.PAYMENTS_COLLECTION,
filter = {"_id": ObjectId(payment_id)},
update = [{
"$set": {
"tags": {
"$let": {
"vars": {
"removed_tags": {
"$setDifference": [
"$tags",
unset_tags
]
}
},
"in": {
"$setUnion": [
"$$removed_tags",
set_tags
]
}
}
}
}
}],
raise_exception = True
)
# ┏┓┳┓┳┳┳┓ ┳┓ ┓
# ┃ ┣┫┃┃┃┃ ━━ ┃┃┏┓┃┏┓╋┏┓
# ┗┛┛┗┗┛┻┛ ┻┛┗ ┗┗ ┗┗
# No support whatsoever for deleting messages.
# *****************************************************************************************************************
# ***** ****
# *** MAIN PROGRAM ***
# ***** ****
# *****************************************************************************************************************
if __name__ == "__main__":
pass