Bug fixes for automations

- Pass the new conversation id as kwarg for the scheduled_chat function
- For edit automations, re-use the original conversation id
- Parse images correctly for image automations
This commit is contained in:
sabaimran 2024-08-11 10:41:43 +05:30
parent 5075d13902
commit acb825f4f5
4 changed files with 53 additions and 10 deletions

View file

@ -674,15 +674,27 @@ class ConversationAdapters:
@staticmethod
async def acreate_conversation_session(
user: KhojUser, client_application: ClientApplication = None, agent_slug: str = None
user: KhojUser, client_application: ClientApplication = None, agent_slug: str = None, title: str = None
):
if agent_slug:
agent = await AgentAdapters.aget_agent_by_slug(agent_slug, user)
if agent is None:
raise HTTPException(status_code=400, detail="No such agent currently exists.")
return await Conversation.objects.acreate(user=user, client=client_application, agent=agent)
return await Conversation.objects.acreate(user=user, client=client_application, agent=agent, title=title)
agent = await AgentAdapters.aget_default_agent()
return await Conversation.objects.acreate(user=user, client=client_application, agent=agent)
return await Conversation.objects.acreate(user=user, client=client_application, agent=agent, title=title)
@staticmethod
def create_conversation_session(
user: KhojUser, client_application: ClientApplication = None, agent_slug: str = None, title: str = None
):
if agent_slug:
agent = AgentAdapters.get_agent_by_slug(agent_slug, user)
if agent is None:
raise HTTPException(status_code=400, detail="No such agent currently exists.")
return Conversation.objects.create(user=user, client=client_application, agent=agent, title=title)
agent = AgentAdapters.get_default_agent()
return Conversation.objects.create(user=user, client=client_application, agent=agent, title=title)
@staticmethod
async def aget_conversation_by_user(

View file

@ -545,15 +545,19 @@ async def post_automation(
if not subject:
subject = await acreate_title_from_query(q)
# Create new Conversation Session associated with this new task
conversation = await ConversationAdapters.acreate_conversation_session(user, request.user.client_app)
title = f"Automation: {subject}"
calling_url = request.url.replace(query=f"{request.url.query}&conversation_id={conversation.id}")
# Create new Conversation Session associated with this new task
conversation = await ConversationAdapters.acreate_conversation_session(user, request.user.client_app, title=title)
calling_url = request.url.replace(query=f"{request.url.query}")
# Schedule automation with query_to_run, timezone, subject directly provided by user
try:
# Use the query to run as the scheduling request if the scheduling request is unset
automation = await schedule_automation(query_to_run, subject, crontime, timezone, q, user, calling_url)
automation = await schedule_automation(
query_to_run, subject, crontime, timezone, q, user, calling_url, conversation.id
)
except Exception as e:
logger.error(f"Error creating automation {q} for {user.email}: {e}", exc_info=True)
return Response(
@ -649,6 +653,16 @@ def edit_job(
automation_metadata["query_to_run"] = query_to_run
automation_metadata["subject"] = subject.strip()
automation_metadata["crontime"] = crontime
conversation_id = automation_metadata.get("conversation_id")
if not conversation_id:
title = f"Automation: {subject}"
# Create new Conversation Session associated with this new task
conversation = ConversationAdapters.create_conversation_session(user, request.user.client_app, title=title)
conversation_id = conversation.id
automation_metadata["conversation_id"] = conversation_id
# Modify automation with updated query, subject
automation.modify(
@ -659,6 +673,7 @@ def edit_job(
"scheduling_request": q,
"user": user,
"calling_url": request.url,
"conversation_id": conversation_id,
},
)

View file

@ -117,7 +117,8 @@ def send_task_email(name, email, query, result, subject, is_image=False):
template = env.get_template("task.html")
if is_image:
result = f"![{subject}]({result})"
image = result.get("image")
result = f"![{subject}]({image})"
html_result = markdown_it.MarkdownIt().render(result)
html_content = template.render(name=name, subject=subject, query=query, result=html_result)

View file

@ -1074,7 +1074,13 @@ def should_notify(original_query: str, executed_query: str, ai_response: str) ->
def scheduled_chat(
query_to_run: str, scheduling_request: str, subject: str, user: KhojUser, calling_url: URL, job_id: str = None
query_to_run: str,
scheduling_request: str,
subject: str,
user: KhojUser,
calling_url: URL,
job_id: str = None,
conversation_id: int = None,
):
logger.info(f"Processing scheduled_chat: {query_to_run}")
if job_id:
@ -1101,6 +1107,10 @@ def scheduled_chat(
# Replace the original scheduling query with the scheduled query
query_dict["q"] = [query_to_run]
# Replace the original conversation_id with the conversation_id
if conversation_id:
query_dict["conversation_id"] = conversation_id
# Construct the URL to call the chat API with the scheduled query string
encoded_query = urlencode(query_dict, doseq=True)
url = f"{scheme}://{calling_url.netloc}/api/chat?{encoded_query}"
@ -1130,7 +1140,9 @@ def scheduled_chat(
if raw_response.headers.get("Content-Type") == "application/json":
response_map = raw_response.json()
ai_response = response_map.get("response") or response_map.get("image")
is_image = response_map.get("image") is not None
is_image = False
if type(ai_response) == dict:
is_image = ai_response.get("image") is not None
else:
ai_response = raw_response.text
@ -1156,6 +1168,7 @@ async def schedule_automation(
scheduling_request: str,
user: KhojUser,
calling_url: URL,
conversation_id: int,
):
# Disable minute level automation recurrence
minute_value = crontime.split(" ")[0]
@ -1173,6 +1186,7 @@ async def schedule_automation(
"scheduling_request": scheduling_request,
"subject": subject,
"crontime": crontime,
"conversation_id": conversation_id,
}
)
query_id = hashlib.md5(f"{query_to_run}_{crontime}".encode("utf-8")).hexdigest()
@ -1191,6 +1205,7 @@ async def schedule_automation(
"user": user,
"calling_url": calling_url,
"job_id": job_id,
"conversation_id": conversation_id,
},
id=job_id,
name=job_metadata,