(20241212) Reorganizing code to perform core actions in one place.
This commit is contained in:
@@ -0,0 +1,182 @@
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"""
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AUTHOR:
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Khushal P Soonderji
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DATE:
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Thursday, 5th Dec., 2024
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OBJECTIVE:
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To create an interface between OpenAI and our internal system to perform LLM-based activities.
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REFERENCES:
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N/A
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DOWNLOADS:
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N/A
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"""
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# *****************************************************************************************************************
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# ***** ****
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# *** IMPORT ***
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# ***** ****
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# *****************************************************************************************************************
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# To make sibling directories accessible for imports:
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import sys
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sys.path.append(".")
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sys.path.append("..")
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# My async utils:
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from utils_v2.database.async_mongo_v2 import AsyncMongo
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# Base model:
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from controllers.base import BaseModel
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# Data Models:
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from models.core.user import CoreUserInfoModel
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from models.core.ai.llm import LLMInput, LLMOutput, LLMUsageTokens
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# To work with LLMs:
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from langchain_openai import ChatOpenAI
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# *****************************************************************************************************************
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# ***** ****
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# *** MACROS / ONE-TIME INIT ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** VARIABLES ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** FUNCTIONS ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** CLASSES ***
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# ***** ****
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# *****************************************************************************************************************
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class LLMController(BaseModel):
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AI_USAGE_COLLECTION = "_aiUsage"
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def __init__(
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self,
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llm_creds: dict,
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cache = None,
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alert_url = None,
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http_client = None,
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debug = True,
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debug_prefix = "Model | ",
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debug_only_errors = True
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):
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"""
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This is the model that works with OpenAi's LLM to perform tasks like text completion.
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:param llm_creds: The JSON that holds the credentials to access your OpenAI account. Should have the keys
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'model', and 'openai_api_key'.
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:param cache: The object to use for caching results from database calls.
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:param alert_url: Which URL to call when something goes wrong.
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:param http_client: The instance of an HTTP client to use when trying to send alerts and make other APIs.
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:param debug: Whether, or not, you would like to print debugging messages:
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:param debug_prefix: The prefix to print with the debugging messages.
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:param debug_only_errors: Whether you would like to print only error messages or all messages.
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:return: None.
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"""
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# Initialize the parent:
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super().__init__(
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cache = cache,
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alert_url = alert_url,
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http_client = http_client,
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debug = debug,
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debug_prefix = debug_prefix,
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debug_only_errors = debug_only_errors
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)
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# Create the interface to the LLM:
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self.__llm = ChatOpenAI(**llm_creds)
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async def invoke(
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self,
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mongo_conn: AsyncMongo,
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user_info: CoreUserInfoModel,
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llm_input: LLMInput
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) -> LLMOutput:
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# Format the message as per the format of OpenAI:
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prompt = [
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{
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"role": {"system": "system", "ai": "assistant", "human": "user"}[message.role],
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"content": message.content
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} for message in llm_input.messages
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]
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# Invoke the AI, and format the response:
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llm_response = await self.__llm.ainvoke(prompt)
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print("LLM RESPONSE:", llm_response)
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print("INPUT MESSAGES:", llm_input.messages)
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llm_response = LLMOutput(
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messages = llm_input.messages,
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output = llm_response.content,
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client = "openai",
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model = llm_response.response_metadata["model_name"],
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tokens = LLMUsageTokens(
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input = llm_response.usage_metadata["input_tokens"],
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output = llm_response.usage_metadata["output_tokens"],
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total = llm_response.usage_metadata["total_tokens"],
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)
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)
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# Store this into MongoDB:
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mongo_document = {"user": user_info.model_dump()}
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for k, v in llm_response.model_dump().items(): mongo_document[k] = v
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inserted_id = await mongo_conn.insert_one(
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collection = self.AI_USAGE_COLLECTION,
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document = mongo_document
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)
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if inserted_id: llm_response.invocationId = str(inserted_id)
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# Done here:
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return llm_response
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# *****************************************************************************************************************
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# ***** ****
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# *** MAIN PROGRAM ***
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# ***** ****
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# *****************************************************************************************************************
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if __name__ == "__main__":
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pass
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@@ -0,0 +1,314 @@
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"""
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AUTHOR:
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Khushal P Soonderji
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DATE:
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Thursday, 12th Dec., 2024
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OBJECTIVE:
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To handle all auth-tokens from one place.
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REFERENCES:
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N/A
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DOWNLOADS:
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N/A
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"""
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# *****************************************************************************************************************
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# ***** ****
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# *** IMPORT ***
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# ***** ****
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# *****************************************************************************************************************
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# To make sibling directories accessible for imports:
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import sys
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sys.path.append(".")
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sys.path.append("..")
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# For Quart:
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from quart import current_app
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# My async utils:
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from utils_v2.string import json
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from utils_v2.date_time import date_time
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from utils_v2.database.async_mysql_v2 import AsyncMySQL
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from utils_v2.database.async_mongo_v2 import AsyncMongo
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# Base model:
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from controllers.base import BaseModel
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# Data models:
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from models.core.auth_token import CoreAuthTokenModel
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# To work with MongoDB:
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from bson import ObjectId
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# *****************************************************************************************************************
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# ***** ****
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# *** MACROS / ONE-TIME INIT ***
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||||
# ***** ****
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# *****************************************************************************************************************
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||||
|
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# --- Nothing Yet
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||||
|
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# *****************************************************************************************************************
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# ***** ****
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# *** VARIABLES ***
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# ***** ****
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# *****************************************************************************************************************
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||||
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# --- Nothing Yet
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||||
|
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|
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# *****************************************************************************************************************
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# ***** ****
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# *** FUNCTIONS ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** CLASSES ***
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# ***** ****
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# *****************************************************************************************************************
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class AuthTokenController(BaseModel):
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# ┏┓┓ ┓┏
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# ┃ ┃┏┓┏┏ ┃┃┏┓┏┓┏
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# ┗┛┗┗┻┛┛ ┗┛┗┻┛ ┛
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# For MongoDB:
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AUTH_COLLECTION = "_authTokens"
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async def get_token_id(
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self,
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db_conn: AsyncMySQL,
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mongo_conn: AsyncMongo,
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auth_token: CoreAuthTokenModel,
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token_notes: dict,
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session_token: str = None,
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) -> ObjectId:
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"""
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Stores params from the session info and gives an identifier to use in the authorization URL. Use this when the
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user requests an authorization URL to link your service to another service (like GMail).
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:param db_conn: The database connection (MariaDB) to use to perform the action.
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:param mongo_conn: The database connection (MongoDB) to use to perform the action.
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:param auth_token: An instance of the core auth-token model that holds data in the database.
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:param token_notes: Any notes to feed into MariaDB with the token identifier.
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:param session_token: The session token of the user who requested this service.
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:return: An ObjectId to later store the granted tokens.
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"""
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# Note down the timestamp at which this event occurred:
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request_ts = date_time.get_current_utc_date_time(as_string = False)
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# Get the identifier from the database if it already exists, else create one.
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# BE CAREFUL WITH THE KEYS HERE, THEY SHOULD MATCH THE FIELDS OF THE CORE AUTH-TOKEN MODEL:
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mongo_json = await mongo_conn.find_one_and_update(
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collection = self.AUTH_COLLECTION,
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filter = mongo_conn.dict_to_dot_notation({
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"serviceType": auth_token.serviceType,
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"user": {
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"entityId": auth_token.user.entityId,
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"billingAccountId": auth_token.user.billingAccountId
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},
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"clientUserId": auth_token.clientUserId
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}),
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update = {
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"$set": {
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"lastRequestTs": auth_token.lastRequestTs,
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"status": auth_token.status,
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"syncFreq": auth_token.syncFreq
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},
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"$setOnInsert": {
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"serviceType": auth_token.serviceType,
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"client": auth_token.client,
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"authType": auth_token.authType,
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"user": auth_token.user.model_dump(),
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"clientUserId": auth_token.clientUserId,
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"auth": auth_token.auth,
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"token": auth_token.token,
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"firstRefreshTs": auth_token.firstRefreshTs,
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"lastRefreshTs": auth_token.lastRefreshTs,
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"firstRequestTs": auth_token.firstRequestTs or request_ts,
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}
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},
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projection = {
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"_id": True
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},
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upsert = True,
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return_updated = True
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)
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# Tell MariaDB that an authorization request was initiated:
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db_json = {}
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if mongo_json is not None:
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db_json = await self.call_procedure(
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db_conn = db_conn,
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proc_name = "entity_integration_save",
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proc_args = (
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auth_token.user.entityId, # ..................................... 'p_entity_id'
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auth_token.client, # ............................................ 'p_provider'
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auth_token.status, # ............................................ 'p_current_status'
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"Auth Requested", # ............................................. 'p_last_action'
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None, # ......................................................... 'p_display_name'
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None, # ......................................................... 'p_display_picture'
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str(mongo_json["_id"]), # ....................................... 'p_token_id'
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json.to_string(python_data = token_notes, no_space = True), # ... 'p_notes'
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auth_token.user.userId # ........................................ 'p_created_by'
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),
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session_token = session_token
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)
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# Done here:
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return mongo_json["_id"] if mongo_json and db_json.get("status") == 1 else None
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async def set_token(
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self,
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db_conn: AsyncMySQL,
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mongo_conn: AsyncMongo,
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token_id: ObjectId | str,
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auth_token: CoreAuthTokenModel,
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token_notes: dict,
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session_token: str = None
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) -> bool:
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"""
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This method is to be called when the end user authorizes your service to connect to his third-party account. For
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example, when the end user allows you to access his GMail account. USE THIS FOR UPDATING (REFRESHING) TOKENS
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ALSO.
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:param db_conn: The database connection (MariaDB) to use to perform the action.
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:param mongo_conn: The database connection (MongoDB) to use to perform the action.
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:param token_id: The identifier granted by the 'get_token_id' method.
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:param auth_token: The actual auth/token data to be saved to the database.
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:param token_notes: Any notes to feed into MariaDB with the token identifier.
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:param session_token: The session token of the user who requested this service.
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:return: True if saved, False if failed.
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"""
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# Start by assuming failure:
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token_saved = False
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# Note down the timestamp at which this event occurred:
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request_ts = date_time.get_current_utc_date_time(as_string = False)
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# Save the token to MongoDB.
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# BE CAREFUL WITH THE KEYS HERE, THEY SHOULD MATCH THE FIELDS OF THE CORE AUTH-TOKEN MODEL:
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mongo_json = await mongo_conn.find_one_and_update(
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collection = self.AUTH_COLLECTION,
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filter = mongo_conn.dict_to_dot_notation({
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"_id": ObjectId(token_id),
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"clientUserId": auth_token.clientUserId
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}),
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update = [{
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"$set": {
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"auth": auth_token.auth,
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"token": auth_token.token,
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"status": auth_token.status,
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"lastRefreshTs": request_ts,
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"firstRefreshTs": {
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"$cond": {
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"if": {
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"$or": [
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{"$eq": ["$firstRefreshTs", None]},
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{"$eq": [{"$type": "$firstRefreshTs"}, "missing"]}
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]
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},
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"then": request_ts,
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"else": "$firstRefreshTs"
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}
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}
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}
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}],
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projection = {"token": False},
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return_updated = True,
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upsert = False
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)
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# Tell MariaDB that the token was saved:
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if mongo_json is not None:
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db_json = await self.call_procedure(
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db_conn = db_conn,
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proc_name = "entity_integration_save",
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proc_args = (
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mongo_json["user"]["entityId"], # ............................... 'p_entity_id'
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mongo_json["client"], # ......................................... 'p_provider'
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auth_token.status, # ............................................ 'p_current_status'
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"Auth Granted", # ............................................... 'p_last_action'
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auth_token.token.get("displayName"), # .......................... 'p_display_name'
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auth_token.token.get("displayPictureUrl"), # .................... 'p_display_picture'
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token_id, # ..................................................... 'p_token_id'
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json.to_string(python_data = token_notes, no_space = True), # ... 'p_notes'
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auth_token.user.userId # ........................................ 'p_created_by'
|
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),
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session_token = session_token
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)
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if db_json["status"] == 1: token_saved = True
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# Done here:
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return token_saved
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async def get_token(
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self,
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mongo_conn: AsyncMongo,
|
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token_id: ObjectId | str = None,
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**kwargs
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) -> CoreAuthTokenModel | None:
|
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|
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"""
|
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To retrieve stored tokens from the database.
|
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:param mongo_conn: The database connection (MongoDB) to use to perform the action.
|
||||
:param token_id: The identifier granted by the 'get_token_id' method.
|
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:param kwargs: Any set of key-value pairs to build custom search criteria. This could be things like the user
|
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info, the client, the type of authentication used, or even the kind of service.
|
||||
:return: The retrieved record that has the token, and information about the service and client if found, else
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None when there is no matching record.
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"""
|
||||
|
||||
# Build the filter:
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filter_json = {k: v for k, v in kwargs.items()}
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if token_id: filter_json["_id"] = ObjectId(token_id)
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# If there is no search criteria, we exit with failure:
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if not filter_json: return None
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||||
# If there is some filtering possible, we fetch the token:
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token = await mongo_conn.find_one(
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collection = self.AUTH_COLLECTION,
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filter = filter_json,
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)
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# Done here:
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return CoreAuthTokenModel(**token) if token else None
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||||
|
||||
|
||||
# *****************************************************************************************************************
|
||||
# ***** ****
|
||||
# *** MAIN PROGRAM ***
|
||||
# ***** ****
|
||||
# *****************************************************************************************************************
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
pass
|
||||
@@ -0,0 +1,389 @@
|
||||
"""
|
||||
|
||||
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
|
||||
from pyexpat.errors import messages
|
||||
|
||||
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 MessageController(BaseModel):
|
||||
|
||||
# ┏┓┓ ┓┏
|
||||
# ┃ ┃┏┓┏┏ ┃┃┏┓┏┓┏
|
||||
# ┗┛┗┗┻┛┛ ┗┛┗┻┛ ┛
|
||||
|
||||
# For MongoDB:
|
||||
MESSAGES_COLLECTION = "_messages"
|
||||
|
||||
# ┏┓┳┓┳┳┳┓ ┏┓
|
||||
# ┃ ┣┫┃┃┃┃ ━━ ┃ ┏┓┏┓┏┓╋┏┓
|
||||
# ┗┛┛┗┗┛┻┛ ┗┛┛ ┗ ┗┻┗┗
|
||||
|
||||
async def insert(
|
||||
self,
|
||||
mongo_conn: AsyncMongo,
|
||||
message: CoreMessageModel
|
||||
) -> ObjectId:
|
||||
|
||||
# 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
|
||||
) -> int:
|
||||
|
||||
return await mongo_conn.bulk_write(
|
||||
collection = self.MESSAGES_COLLECTION,
|
||||
requests = mongo_operations
|
||||
)
|
||||
|
||||
# ┏┓┳┓┳┳┳┓ ┳┓ •
|
||||
# ┃ ┣┫┃┃┃┃ ━━ ┣┫┏┓╋┏┓┓┏┓┓┏┏┓
|
||||
# ┗┛┛┗┗┛┻┛ ┛┗┗ ┗┛ ┗┗ ┗┛┗
|
||||
|
||||
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. This does not mark messages as read.
|
||||
: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,
|
||||
"markedAsUnread": True,
|
||||
"serviceType": True,
|
||||
"client": True,
|
||||
"clientMessageId": True,
|
||||
"clientThreadId": True,
|
||||
"isSent": True,
|
||||
"isBroadcast": True,
|
||||
"sentSuccessfully": True,
|
||||
"aiSnippet": True,
|
||||
"preview": True,
|
||||
"message": {},
|
||||
"tags": True,
|
||||
"usedAi": True
|
||||
},
|
||||
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_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.
|
||||
"""
|
||||
|
||||
# Note down the timestamp at which this event occurred:
|
||||
request_ts = date_time.get_current_utc_date_time(as_string = False)
|
||||
|
||||
# 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
|
||||
)
|
||||
|
||||
# We now mark these fetched messages as read through a bulk-write operation:
|
||||
operations = [
|
||||
UpdateOne(
|
||||
filter = {"_id": record["_id"]},
|
||||
update = [{
|
||||
"$set": {
|
||||
"readTs": {
|
||||
"$cond": {
|
||||
"if": {
|
||||
"$or": [
|
||||
{"$eq": ["$readTs", None]},
|
||||
{"$eq": [{"$type": "$readTs"}, "missing"]}
|
||||
]
|
||||
},
|
||||
"then": request_ts,
|
||||
"else": "$readTs"
|
||||
}
|
||||
}
|
||||
}
|
||||
}],
|
||||
upsert = False
|
||||
) for record in records
|
||||
]
|
||||
updated_count = await mongo_conn.bulk_write(
|
||||
collection = self.MESSAGES_COLLECTION,
|
||||
requests = operations,
|
||||
raise_exception = True
|
||||
)
|
||||
|
||||
# Convert the fetched records to instances of the data model and return:
|
||||
return [CoreMessageModel(**record) for record in records]
|
||||
|
||||
async def get_message(
|
||||
self,
|
||||
mongo_conn: AsyncMongo,
|
||||
message_id: ObjectId | str,
|
||||
) -> CoreMessageModel | None:
|
||||
|
||||
"""
|
||||
Gets one message if you know its message id. Marks that message as read.
|
||||
:param mongo_conn:
|
||||
:param message_id:
|
||||
:return:
|
||||
"""
|
||||
|
||||
# Note down the timestamp at which this event occurred:
|
||||
request_ts = date_time.get_current_utc_date_time(as_string = False)
|
||||
|
||||
# We fetch the whole payload of that one message
|
||||
# while also marking it as read if not already marked:
|
||||
record = await mongo_conn.find_one_and_update(
|
||||
collection = self.MESSAGES_COLLECTION,
|
||||
filter = {"_id": ObjectId(message_id)},
|
||||
update = [{
|
||||
"$set": {
|
||||
"readTs": {
|
||||
"$cond": {
|
||||
"if": {
|
||||
"$or": [
|
||||
{"$eq": ["$readTs", None]},
|
||||
{"$eq": [{"$type": "$readTs"}, "missing"]}
|
||||
]
|
||||
},
|
||||
"then": request_ts,
|
||||
"else": "$readTs"
|
||||
}
|
||||
}
|
||||
}
|
||||
}],
|
||||
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.
|
||||
|
||||
# ┏┓┳┓┳┳┳┓ ┳┓ ┓
|
||||
# ┃ ┣┫┃┃┃┃ ━━ ┃┃┏┓┃┏┓╋┏┓
|
||||
# ┗┛┛┗┗┛┻┛ ┻┛┗ ┗┗ ┗┗
|
||||
|
||||
# No support whatsoever for deleting messages.
|
||||
|
||||
|
||||
# *****************************************************************************************************************
|
||||
# ***** ****
|
||||
# *** MAIN PROGRAM ***
|
||||
# ***** ****
|
||||
# *****************************************************************************************************************
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
pass
|
||||
Reference in New Issue
Block a user