********************************************************************************
Step 1
********************************************************************************

------Action------
THOUGHT:
None
ACTION TYPE:
None
ACTION CONTENT:
None

-----Response-----
RESPONSE (User Message):
USER QUERY: Plan an adventure trip starting from "E" to "C" on 2023-12-01 (2 nights), then going to "B" on 2023-12-03 (3 nights), and finally to "D" on 2023-12-06 (2 nights). In "C", prefer a hotel with a pool; in "B", any hotel; in "D", a hotel with a gym. Always go with the cheaper flight and hotel. Give me the total budget for the trip.
Save the final answer in the variable `final_answer`.

Use the code base located at `/root/m3eval/m3eval` to solve this query. Your current directory is `/root/playground`.

If the import path in retrieved code block says `testing/dir_name/file_name.py` and you want to import variable, function or class called `obj` from this file, then import using `from testing.dir_name.file_name import obj`.

The code base path has either been installed via pip or has been already been added to the system path via
```
import sys
sys.path.extend(['/root/m3eval'])
```

********************************************************************************
Step 2
********************************************************************************

------Action------
THOUGHT:
Before writing any code, I need to understand the structure and capabilities of the travel_planner.py module within the m3eval codebase. I will search for the travel_planner.py file and look for functions related to planning trips, finding flights, making hotel reservations, and budget calculations. This will help me determine how to use the module to plan the adventure trip as requested.
ACTION TYPE:
search
ACTION CONTENT:
file_path: m3eval\/travel_planner.py

-----Response-----
RESPONSE (Retrieval Result):
QUERY:
file_path: m3eval\/travel_planner.py

CODE BLOCKS:
---
file_path=m3eval/travel_planner.py
lines=[33, 47]
type=FUNCTION
content={
def book_hotel(location: str, *preferences: str) -> List[Dict]:
    location = location.strip('"')
    if location not in SUPPORTED_LOC:
        raise ValueError(
            f"Location [{location}] is not supported. Supported locations: {LOC}"
        )

    suitable_hotels = [
        hotel
        for hotel in HOTELS
        if hotel["location"].strip('"') == location
        and all(pref in hotel["preferences"] for pref in preferences)
    ]
    return suitable_hotels
}
---
file_path=m3eval/travel_planner.py
lines=[11, 31]
type=FUNCTION
content={
def find_flights(from_location: str, to_location: str, date: str) -> List[Dict]:
    from_location = from_location.strip('"')
    to_location = to_location.strip('"')
    if from_location not in SUPPORTED_LOC:
        raise ValueError(
            f"Origin [{from_location}] is not supported. Supported from_locations: {LOC}"
        )

    if to_location not in SUPPORTED_LOC:
        raise ValueError(
            f"Destination [{to_location}] is not supported. Supported to_locations: {LOC}"
        )

    return [
        flight
        for flight in FLIGHTS
        if flight["to_location"].strip('"') == to_location
        and flight["date"] == date
        and flight["from_location"].strip('"') == from_location
    ]
}
---
file_path=m3eval/travel_planner.py
lines=[49, 53]
type=FUNCTION
content={
def budget_calculator(
    flight_price: float, hotel_price_per_night: float, num_nights: int
) -> float:
    return flight_price + hotel_price_per_night * num_nights
}
---
(7 additional code blocks not shown. Search again with the same query to see additional results.)

Prototypes for the next 0 out of 0 classes/functions found in unexpanded results (search again with the same query to see details):

********************************************************************************
Step 3
********************************************************************************

------Action------
THOUGHT:
The retrieved code blocks provide functions to book hotels, find flights, and calculate budgets. The `book_hotel` function takes a location and preferences to return a list of suitable hotels. The `find_flights` function finds flights based on from and to locations and a date. The `budget_calculator` function calculates the total budget based on flight price, hotel price per night, and the number of nights.

To plan the trip, I will need to use these functions to find the cheapest flights and hotels that meet the preferences for each location and calculate the total budget. I will start by finding flights and hotels for the first leg of the trip from "E" to "C" for 2 nights with a preference for a hotel with a pool.
ACTION TYPE:
code
ACTION CONTENT:
from m3eval.travel_planner import find_flights, book_hotel, budget_calculator

# Define the trip details
trip_details = [
    {"from": "E", "to": "C", "date": "2023-12-01", "nights": 2, "preferences": ["pool"]},
    {"from": "C", "to": "B", "date": "2023-12-03", "nights": 3, "preferences": []},
    {"from": "B", "to": "D", "date": "2023-12-06", "nights": 2, "preferences": ["gym"]}
]

# Initialize the total budget
total_budget = 0

# Find flights and hotels for the first leg of the trip
first_leg = trip_details[0]
flights_to_c = find_flights(first_leg["from"], first_leg["to"], first_leg["date"])
hotels_in_c = book_hotel(first_leg["to"], *first_leg["preferences"])

# Sort flights and hotels by price to find the cheapest options
cheapest_flight_to_c = sorted(flights_to_c, key=lambda x: x["price"])[0]
cheapest_hotel_in_c = sorted(hotels_in_c, key=lambda x: x["price_per_night"])[0]

# Calculate the budget for the first leg
budget_for_c = budget_calculator(
    cheapest_flight_to_c["price"],
    cheapest_hotel_in_c["price_per_night"],
    first_leg["nights"]
)

# Update the total budget
total_budget += budget_for_c

# Save the budget for the first leg in a variable
budget_for_first_leg = budget_for_c

-----Response-----
RESPONSE (Execution Result):
CODE EXECUTED WITHOUT ERROR, STDOUT WAS EMPTY
RELEVANT VARIABLES (only shown if string rep. has changed after code exec):
{"find_flights": <function find_flights at 0x7f89b8bd3100>, "book_hotel": <function book_hotel at 0x7f899c457e20>, "budget_calculator": <function budget_calculator at 0x7f899c457d80>, "trip_details": [{'from': 'E', 'to': 'C', 'date': '2023-12-01', 'nights': 2, 'preferences': ['pool']}, {'from': 'C', 'to': 'B', 'date': '2023-12-03', 'nights': 3, 'preferences': []}, {'from': 'B', 'to': 'D', 'date': '2023-12-06', 'nights': 2, 'preferences': ['gym']}], "total_budget": 780, "first_leg": {'from': 'E', 'to': 'C', 'date': '2023-12-01', 'nights': 2, 'preferences': ['pool']}, "flights_to_c": [{'from_location': '"E"', 'to_location': '"C"', 'date': '2023-12-01', 'price': 580}], "hotels_in_c": [{'location': '"C"', 'preferences': ['pool'], 'price_per_night': 100, 'rating': 3}, {'location': '"C"', 'preferences': ['wifi', 'pool'], 'price_per_night': 110, 'rating': 5}], "cheapest_flight_to_c": {'from_location': '"E"', 'to_location': '"C"', 'date': '2023-12-01', 'price': 580}, "cheapest_hotel_in_c": {'location': '"C"', 'preferences': ['pool'], 'price_per_night': 100, 'rating': 3}, "budget_for_c": 780, "budget_for_first_leg": 780}

********************************************************************************
Step 4
********************************************************************************

------Action------
THOUGHT:
The code executed without error and the budget for the first leg of the trip has been calculated successfully. The total budget after the first leg is $780. Now, I will proceed to find the cheapest flights and hotels for the second leg of the trip from "C" to "B" for 3 nights with no specific hotel preferences, and then calculate the budget for this leg. After that, I will do the same for the third leg from "B" to "D" for 2 nights with a preference for a hotel with a gym. Finally, I will sum up the budgets for all legs to get the total budget for the trip and save it in the variable `final_answer`.
ACTION TYPE:
code
ACTION CONTENT:
# Find flights and hotels for the second leg of the trip
second_leg = trip_details[1]
flights_to_b = find_flights(second_leg["from"], second_leg["to"], second_leg["date"])
hotels_in_b = book_hotel(second_leg["to"], *second_leg["preferences"])

# Sort flights and hotels by price to find the cheapest options
cheapest_flight_to_b = sorted(flights_to_b, key=lambda x: x["price"])[0]
cheapest_hotel_in_b = sorted(hotels_in_b, key=lambda x: x["price_per_night"])[0]

# Calculate the budget for the second leg
budget_for_b = budget_calculator(
    cheapest_flight_to_b["price"],
    cheapest_hotel_in_b["price_per_night"],
    second_leg["nights"]
)

# Update the total budget
total_budget += budget_for_b

# Find flights and hotels for the third leg of the trip
third_leg = trip_details[2]
flights_to_d = find_flights(third_leg["from"], third_leg["to"], third_leg["date"])
hotels_in_d = book_hotel(third_leg["to"], *third_leg["preferences"])

# Sort flights and hotels by price to find the cheapest options
cheapest_flight_to_d = sorted(flights_to_d, key=lambda x: x["price"])[0]
cheapest_hotel_in_d = sorted(hotels_in_d, key=lambda x: x["price_per_night"])[0]

# Calculate the budget for the third leg
budget_for_d = budget_calculator(
    cheapest_flight_to_d["price"],
    cheapest_hotel_in_d["price_per_night"],
    third_leg["nights"]
)

# Update the total budget
total_budget += budget_for_d

# Save the final total budget in the variable `final_answer`
final_answer = total_budget

-----Response-----
RESPONSE (Execution Result):
CODE EXECUTED WITHOUT ERROR, STDOUT WAS EMPTY
RELEVANT VARIABLES (only shown if string rep. has changed after code exec):
{"total_budget": 2200, "second_leg": {'from': 'C', 'to': 'B', 'date': '2023-12-03', 'nights': 3, 'preferences': []}, "flights_to_b": [{'from_location': '"C"', 'to_location': '"B"', 'date': '2023-12-03', 'price': 900}, {'from_location': '"C"', 'to_location': '"B"', 'date': '2023-12-03', 'price': 450}], "hotels_in_b": [{'location': '"B"', 'preferences': ['wifi', 'gym'], 'price_per_night': 150, 'rating': 4}, {'location': '"B"', 'preferences': ['pool', 'gym', 'wifi'], 'price_per_night': 160, 'rating': 5}], "cheapest_flight_to_b": {'from_location': '"C"', 'to_location': '"B"', 'date': '2023-12-03', 'price': 450}, "cheapest_hotel_in_b": {'location': '"B"', 'preferences': ['wifi', 'gym'], 'price_per_night': 150, 'rating': 4}, "budget_for_b": 900, "third_leg": {'from': 'B', 'to': 'D', 'date': '2023-12-06', 'nights': 2, 'preferences': ['gym']}, "flights_to_d": [{'from_location': '"B"', 'to_location': '"D"', 'date': '2023-12-06', 'price': 250}, {'from_location': '"B"', 'to_location': '"D"', 'date': '2023-12-06', 'price': 700}], "hotels_in_d": [{'location': '"D"', 'preferences': ['wifi', 'gym'], 'price_per_night': 140, 'rating': 4}, {'location': '"D"', 'preferences': ['wifi', 'gym', 'pool'], 'price_per_night': 135, 'rating': 5}], "cheapest_flight_to_d": {'from_location': '"B"', 'to_location': '"D"', 'date': '2023-12-06', 'price': 250}, "cheapest_hotel_in_d": {'location': '"D"', 'preferences': ['wifi', 'gym', 'pool'], 'price_per_night': 135, 'rating': 5}, "budget_for_d": 520, "final_answer": 2200}

********************************************************************************
Step 5
********************************************************************************

------Action------
THOUGHT:
The code executed without error, and the total budget for the trip has been calculated as $2200. This budget includes the cheapest flights and hotels that meet the specified preferences for each leg of the trip. The final total budget has been saved in the variable `final_answer` as requested.
ACTION TYPE:
done
ACTION CONTENT:
True

-----Response-----
None