mirror of
https://github.com/marcogll/telegram_new_socias.git
synced 2026-01-13 21:25:16 +00:00
feat: refactor schedule storage to vanity_hr schema, update onboarding command to /registro, and enhance horario flow with short name collection
This commit is contained in:
@@ -1,105 +1,153 @@
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import ast
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import json
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import os
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import logging
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import os
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from functools import partial
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from telegram import Update, ReplyKeyboardRemove, ReplyKeyboardMarkup
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from telegram import ReplyKeyboardMarkup, ReplyKeyboardRemove, Update
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from telegram.ext import (
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CommandHandler,
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ContextTypes,
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ConversationHandler,
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MessageHandler,
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CommandHandler,
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filters,
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)
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from .finalizer import finalize_flow
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async def end_cancel(update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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await update.message.reply_text("Flujo cancelado.")
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return ConversationHandler.END
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async def generic_callback(update: Update, context: ContextTypes.DEFAULT_TYPE, flow: dict):
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current_state_key = context.user_data.get("current_state", 0)
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current_step = next((step for step in flow["steps"] if step["state"] == current_state_key), None)
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if not current_step:
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await update.message.reply_text("Hubo un error en el flujo. Por favor, inicia de nuevo.")
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return ConversationHandler.END
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user_answer = update.message.text
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variable_name = current_step.get("variable")
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if variable_name:
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context.user_data[variable_name] = user_answer
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next_state_key = None
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if "next_steps" in current_step:
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for condition in current_step["next_steps"]:
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if condition.get("value") == user_answer:
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next_state_key = condition["go_to"]
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break
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elif condition.get("value") == "default":
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next_state_key = condition["go_to"]
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elif "next_step" in current_step:
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next_state_key = current_step["next_step"]
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if next_state_key is None:
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return await end_cancel(update, context)
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if next_state_key == -1:
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await finalize_flow(update, context)
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return ConversationHandler.END
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next_step = next((step for step in flow["steps"] if step["state"] == next_state_key), None)
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if not next_step:
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await update.message.reply_text("Error: No se encontró el siguiente paso del flujo.")
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return ConversationHandler.END
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reply_markup = ReplyKeyboardRemove()
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if next_step.get("type") == "keyboard" and "options" in next_step:
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# Create a 2D array for the keyboard
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options = next_step["options"]
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keyboard = [options[i:i+2] for i in range(0, len(options), 2)]
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reply_markup = ReplyKeyboardMarkup(
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keyboard,
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one_time_keyboard=True, resize_keyboard=True
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)
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await update.message.reply_text(next_step["question"], reply_markup=reply_markup)
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context.user_data["current_state"] = next_state_key
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return next_state_key
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def _build_keyboard(options):
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keyboard = [options[i : i + 2] for i in range(0, len(options), 2)]
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return ReplyKeyboardMarkup(
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keyboard,
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one_time_keyboard=True,
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resize_keyboard=True,
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)
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async def start_flow(update: Update, context: ContextTypes.DEFAULT_TYPE, flow: dict):
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context.user_data.clear()
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context.user_data["flow_name"] = flow["flow_name"]
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first_step = flow["steps"][0]
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context.user_data["current_state"] = first_step["state"]
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def _preprocess_flow(flow: dict):
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"""Populate missing next_step values assuming a linear order."""
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steps = flow.get("steps", [])
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for idx, step in enumerate(steps):
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if "next_step" in step or "next_steps" in step:
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continue
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if idx + 1 < len(steps):
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step["next_step"] = steps[idx + 1]["state"]
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else:
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step["next_step"] = -1
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reply_markup = ReplyKeyboardRemove()
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if first_step.get("type") == "keyboard" and "options" in first_step:
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options = first_step["options"]
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keyboard = [options[i:i+2] for i in range(0, len(options), 2)]
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reply_markup = ReplyKeyboardMarkup(
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keyboard,
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one_time_keyboard=True, resize_keyboard=True
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)
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await update.message.reply_text(first_step["question"], reply_markup=reply_markup)
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return first_step["state"]
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def _find_step(flow: dict, state_key):
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return next((step for step in flow["steps"] if step["state"] == state_key), None)
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ALLOWED_AST_NODES = (
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ast.Expression,
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ast.BoolOp,
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ast.Compare,
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ast.Name,
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ast.Load,
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ast.Constant,
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ast.List,
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ast.Tuple,
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ast.And,
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ast.Or,
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ast.Eq,
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ast.NotEq,
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ast.In,
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ast.NotIn,
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)
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def _evaluate_condition(condition: str, response: str) -> bool:
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"""Safely evaluate expressions like `response in ['Hoy', 'Mañana']`."""
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if not condition:
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return False
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try:
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tree = ast.parse(condition, mode="eval")
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for node in ast.walk(tree):
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if not isinstance(node, ALLOWED_AST_NODES):
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raise ValueError(f"Unsupported expression: {condition}")
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compiled = compile(tree, "<condition>", "eval")
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return bool(eval(compiled, {"__builtins__": {}}, {"response": response}))
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except Exception as exc:
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logging.warning("Failed to evaluate condition '%s': %s", condition, exc)
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return False
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def _determine_next_state(step: dict, user_answer: str):
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"""Resolve the next state declared in the JSON step."""
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if "next_steps" in step:
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default_target = None
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for option in step["next_steps"]:
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value = option.get("value")
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if value == "default":
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default_target = option.get("go_to")
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elif user_answer == value:
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return option.get("go_to")
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return default_target
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next_step = step.get("next_step")
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if isinstance(next_step, list):
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default_target = None
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for option in next_step:
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condition = option.get("condition")
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target = option.get("state")
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if condition:
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if _evaluate_condition(condition, user_answer):
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return target
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elif option.get("value") and user_answer == option["value"]:
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return target
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elif option.get("default"):
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default_target = target
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return default_target
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return next_step
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async def _go_to_state(update: Update, context: ContextTypes.DEFAULT_TYPE, flow: dict, state_key):
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"""Send the question for the requested state, skipping info-only steps."""
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safety_counter = 0
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while True:
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safety_counter += 1
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if safety_counter > len(flow["steps"]) + 2:
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logging.error("Detected potential loop while traversing flow '%s'", flow.get("flow_name"))
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await update.message.reply_text("Ocurrió un error al continuar con el flujo. Intenta iniciar de nuevo.")
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return ConversationHandler.END
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if state_key == -1:
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await finalize_flow(update, context)
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return ConversationHandler.END
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next_step = _find_step(flow, state_key)
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if not next_step:
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await update.message.reply_text("Error: No se encontró el siguiente paso del flujo.")
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return ConversationHandler.END
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reply_markup = ReplyKeyboardRemove()
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if next_step.get("type") == "keyboard" and "options" in next_step:
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reply_markup = _build_keyboard(next_step["options"])
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await update.message.reply_text(next_step["question"], reply_markup=reply_markup)
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context.user_data["current_state"] = state_key
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if next_step.get("type") == "info":
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state_key = _determine_next_state(next_step, None)
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if state_key is None:
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await update.message.reply_text("No se pudo continuar con el flujo actual. Intenta iniciar de nuevo.")
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return ConversationHandler.END
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continue
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return state_key
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def create_handler(flow: dict):
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states = {}
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all_states = sorted(list(set([step["state"] for step in flow["steps"]])))
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for state_key in all_states:
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# Skip the end state
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if state_key == -1:
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continue
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callback = partial(generic_callback, flow=flow)
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states[state_key] = [MessageHandler(filters.TEXT & ~filters.COMMAND, callback)]
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@@ -112,19 +160,54 @@ def create_handler(flow: dict):
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allow_reentry=True,
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)
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async def end_cancel(update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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await update.message.reply_text("Flujo cancelado.")
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return ConversationHandler.END
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async def generic_callback(update: Update, context: ContextTypes.DEFAULT_TYPE, flow: dict):
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current_state_key = context.user_data.get("current_state", 0)
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current_step = _find_step(flow, current_state_key)
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if not current_step:
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await update.message.reply_text("Hubo un error en el flujo. Por favor, inicia de nuevo.")
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return ConversationHandler.END
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user_answer = update.message.text
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variable_name = current_step.get("variable")
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if variable_name:
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context.user_data[variable_name] = user_answer
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next_state_key = _determine_next_state(current_step, user_answer)
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if next_state_key is None:
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return await end_cancel(update, context)
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return await _go_to_state(update, context, flow, next_state_key)
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async def start_flow(update: Update, context: ContextTypes.DEFAULT_TYPE, flow: dict):
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context.user_data.clear()
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context.user_data["flow_name"] = flow["flow_name"]
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first_state = flow["steps"][0]["state"]
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return await _go_to_state(update, context, flow, first_state)
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def load_flows():
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flow_handlers = []
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flow_dir = "conv-flows"
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if not os.path.isdir(flow_dir):
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logging.warning(f"Directory not found: {flow_dir}")
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return flow_handlers
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for filename in os.listdir(flow_dir):
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if filename.endswith(".json"):
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filepath = os.path.join(flow_dir, filename)
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with open(filepath, "r", encoding="utf-8") as f:
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try:
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flow_definition = json.load(f)
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_preprocess_flow(flow_definition)
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handler = create_handler(flow_definition)
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flow_handlers.append(handler)
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logging.info(f"Flow '{flow_definition['flow_name']}' loaded successfully.")
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