Parrot

flowtask.interfaces.parrot

Parrot-ai Interfaces for creating Chatbots and IA-Agents integrated with FlowTask.

agent

Create a Parrot AI Agent for FlowTask.

AgentBase

AgentBase(*args, **kwargs)

Bases: ABC

AgentBase.

Interface for creating new Parrot AI Agents to be used directly as Flowtask Components.

ask_agent async

ask_agent(userid, query=None, prompt_file=None, *args, **kwargs)

Asks the agent a question and returns an Object response.

create_agent async

create_agent(llm=None, model=None, tools=None, backstory=None)

Create and configure a BasicAgent instance.

db_connection

db_connection(driver='pg', dsn=None, credentials=None)

Return a database connection.

open_file async

open_file(file, prefix='files')

Opens a prompt file and returns its content.

open_prompt async

open_prompt(prompt_file=None, base_dir=None)

Opens a prompt file and returns its content.

start async

start(**kwargs)

Check for File and Directory information.

tools

models

EmployeeInput

Bases: BaseModel

Input schema for employee-related operations requiring an Employee ID.

ManagerInput

Bases: BaseModel

Input schema for manager-related operations requiring a Manager ID.

NextStopStore

Bases: Model

Model representing Table for the NextStop system.

Meta

Meta class for NextStopStore model.

StoreInfoInput

Bases: BaseModel

Input schema for store-related operations requiring a Store ID.

today_date

today_date()

Returns today's date.

store

StoreInfo

Bases: BaseToolkit

Comprehensive toolkit for store information and demographic analysis.

This toolkit provides tools to: 1. Get detailed visit information for specific stores including recent visit history 2. Retrieve comprehensive store information including location and visit statistics 3. Foot traffic analysis for stores, providing insights into customer behavior

All tools are designed to work asynchronously with database connections and external APIs.

Tools included: - get_visit_info: Retrieves the last visits for a specific store - get_foot_traffic: Fetches foot traffic data for a store - get_store_information: Gets complete store details and aggregate visit metrics - get_employee_sales: Fetches Employee Sales data and ranked performance.

get_by_employee_visits async

get_by_employee_visits(employee_id)

Get visits information for a specific employee.

This coroutine retrieves the most recent visits made by the specified employee, including detailed visit metrics and questions answered during those visits.

Parameters:

Name	Type	Description	Default
employee_id	str	The unique identifier of the employee.	required

Returns:

Name	Type	Description
dict	dict	Data containing the last visits with detailed information.

get_dataset async

get_dataset(query, output='pandas')

Fetch a dataset based on the provided query.

Parameters:

Name	Type	Description	Default
query	str	The query string to fetch the dataset.	required

Returns:

Type	Description
DataFrame	pd.DataFrame: A pandas DataFrame containing the dataset.

get_employee_sales async

get_employee_sales(manager_id)

Get foot traffic data for a specific store. This coroutine retrieves the foot traffic data for the specified store, including the number of visitors and average visits per day.

Parameters:

Name	Type	Description	Default
manager	str	The unique identifier of the Manager (Associate OID).	required

Returns: str: Data containing employee sales data and rankings.

get_employee_visits async

get_employee_visits(manager_id)

Get Employee Visits data for a specific Manager. This coroutine retrieves the visit data for employees under a specific manager, including the number of visits, average visit duration, and most frequent visit hours. Args: manager (str): The unique identifier of the Manager (Associate OID). Returns: str: Data containing employee sales data and rankings.

get_foot_traffic async

get_foot_traffic(store_id)

Get foot traffic data for a specific store. This coroutine retrieves the foot traffic data for the specified store, including the number of visitors and average visits per day.

Parameters:

Name	Type	Description	Default
store_id	str	The unique identifier of the store.	required

Returns: str: JSON string containing foot traffic data for the store.

get_store_information async

get_store_information(store_id)

Get comprehensive store information for a specific store.

This coroutine retrieves complete store details including location, contact information, operating schedule, and aggregate visit metrics.

Parameters:

Name	Type	Description	Default
store_id	str	The unique identifier of the store.	required

Returns:

Name	Type	Description
str	str	JSON string containing comprehensive store information and visit statistics.

get_tools

get_tools()

Get all available tools in the toolkit.

Returns:

Type	Description
List[BaseTool]	List[BaseTool]: A list of configured Langchain tools ready for agent use.

get_visit_info async

get_visit_info(store_id)

Get visit information for a specific store.

This coroutine retrieves the most recent visits for the specified store, including detailed visit metrics and questions answered during those visits.

Parameters:

Name	Type	Description	Default
store_id	str	The unique identifier of the store.	required

Returns:

Type	Description
List[dict]	List[dict]: Data containing the last visits with detailed information.