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Refactor team management (#26)

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* Refactor pipeline integration
* remove direct pipeline dependency from ChatManager and TelegramApp
* introduce PipelineInputs for better configuration management
* listener personalizzati per eventi nella funzione di interazione della pipeline
* added demos for agno
* USD in configs
* Dockerfile better cache
This commit was merged in pull request #26.
This commit is contained in:
Giacomo Bertolazzi
2025-10-15 14:00:39 +02:00
committed by GitHub
parent d85d6ed1eb
commit 38daafce9a
11 changed files with 281 additions and 133 deletions
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20
src/app/interface/chat.py
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@@ -1,7 +1,7 @@
import os
import json
import gradio as gr
from app.agents.pipeline import Pipeline
from app.agents.pipeline import Pipeline, PipelineInputs
class ChatManager:
@@ -12,9 +12,9 @@ class ChatManager:
- salva e ricarica le chat
"""
def __init__(self, pipeline: Pipeline):
def __init__(self):
self.history: list[dict[str, str]] = [] # [{"role": "user"/"assistant", "content": "..."}]
self.pipeline = pipeline
self.inputs = PipelineInputs()
def send_message(self, message: str) -> None:
"""
@@ -67,7 +67,11 @@ class ChatManager:
########################################
def gradio_respond(self, message: str, history: list[dict[str, str]]) -> tuple[list[dict[str, str]], list[dict[str, str]], str]:
self.send_message(message)
response = self.pipeline.interact(message)
self.inputs.user_query = message
pipeline = Pipeline(self.inputs)
response = pipeline.interact()
self.receive_message(response)
history.append({"role": "user", "content": message})
history.append({"role": "assistant", "content": response})
@@ -95,18 +99,18 @@ class ChatManager:
# Dropdown provider e stile
with gr.Row():
provider = gr.Dropdown(
choices=self.pipeline.list_providers(),
choices=self.inputs.list_models_names(),
type="index",
label="Modello da usare"
)
provider.change(fn=self.pipeline.choose_leader, inputs=provider, outputs=None)
provider.change(fn=self.inputs.choose_team_leader, inputs=provider, outputs=None)
style = gr.Dropdown(
choices=self.pipeline.list_styles(),
choices=self.inputs.list_strategies_names(),
type="index",
label="Stile di investimento"
)
style.change(fn=self.pipeline.choose_strategy, inputs=style, outputs=None)
style.change(fn=self.inputs.choose_strategy, inputs=style, outputs=None)
chatbot = gr.Chatbot(label="Conversazione", height=500, type="messages")
msg = gr.Textbox(label="Scrivi la tua richiesta", placeholder="Es: Quali sono le crypto interessanti oggi?")