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- Finish editing of Specialists with overview, agent - task - tool editor

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- Split differrent caching mechanisms (types, version tree, config) into different cachers
- Improve resource usage on starting components, and correct gevent usage
- Refine repopack usage for eveai_app (too large)
- Change nginx dockerfile to allow for specialist overviews being served statically
This commit is contained in:
Josako
2025-01-23 09:43:48 +01:00
parent 7bddeb0ebd
commit d106520d22
39 changed files with 1312 additions and 281 deletions
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22
common/utils/specialist_utils.py
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@@ -23,7 +23,7 @@ def initialize_specialist(specialist_id: int, specialist_type: str, specialist_v
ValueError: If specialist not found or invalid configuration
SQLAlchemyError: If database operations fail
"""
config = cache_manager.specialist_config_cache.get_config(specialist_type, specialist_version)
config = cache_manager.specialists_config_cache.get_config(specialist_type, specialist_version)
if not config:
raise ValueError(f"No configuration found for {specialist_type} version {specialist_version}")
if config['framework'] == 'langchain':
@@ -99,16 +99,18 @@ def _create_agent(
timestamp: Optional[dt] = None
) -> EveAIAgent:
"""Create an agent with the given configuration."""
current_app.logger.debug(f"Creating agent {agent_type} {agent_version} with {name}, {description}")
if timestamp is None:
timestamp = dt.now(tz=tz.utc)
# Get agent configuration from cache
agent_config = cache_manager.agent_config_cache.get_config(agent_type, agent_version)
agent_config = cache_manager.agents_config_cache.get_config(agent_type, agent_version)
current_app.logger.debug(f"Agent Config: {agent_config}")
agent = EveAIAgent(
specialist_id=specialist_id,
name=name or agent_config.get('name', agent_type),
description=description or agent_config.get('description', ''),
description=description or agent_config.get('metadata').get('description', ''),
type=agent_type,
type_version=agent_version,
role=None,
@@ -122,6 +124,7 @@ def _create_agent(
set_logging_information(agent, timestamp)
db.session.add(agent)
current_app.logger.info(f"Created agent {agent.id} of type {agent_type}")
return agent
@@ -138,14 +141,16 @@ def _create_task(
timestamp = dt.now(tz=tz.utc)
# Get task configuration from cache
task_config = cache_manager.task_config_cache.get_config(task_type, task_version)
task_config = cache_manager.tasks_config_cache.get_config(task_type, task_version)
current_app.logger.debug(f"Task Config: {task_config}")
task = EveAITask(
specialist_id=specialist_id,
name=name or task_config.get('name', task_type),
description=description or task_config.get('description', ''),
description=description or task_config.get('metadata').get('description', ''),
type=task_type,
type_version=task_version,
task_description=None,
expected_output=None,
tuning=False,
configuration=None,
@@ -157,6 +162,7 @@ def _create_task(
set_logging_information(task, timestamp)
db.session.add(task)
current_app.logger.info(f"Created task {task.id} of type {task_type}")
return task
@@ -173,12 +179,13 @@ def _create_tool(
timestamp = dt.now(tz=tz.utc)
# Get tool configuration from cache
tool_config = cache_manager.tool_config_cache.get_config(tool_type, tool_version)
tool_config = cache_manager.tools_config_cache.get_config(tool_type, tool_version)
current_app.logger.debug(f"Tool Config: {tool_config}")
tool = EveAITool(
specialist_id=specialist_id,
name=name or tool_config.get('name', tool_type),
description=description or tool_config.get('description', ''),
description=description or tool_config.get('metadata').get('description', ''),
type=tool_type,
type_version=tool_version,
tuning=False,
@@ -189,4 +196,5 @@ def _create_tool(
set_logging_information(tool, timestamp)
db.session.add(tool)
current_app.logger.info(f"Created tool {tool.id} of type {tool_type}")
return tool