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

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

-----Response-----
RESPONSE (User Message):
USER QUERY: I heard the 2016 movie, Moonlight, was really popular. Can you pull up its details and let me know what genre it falls into? Based on the genre, can you provide a general overview of what kinds of themes I might encounter in films of this type?
Any files mentioned in the query will be located at /root/input_data. E.g. if the query mentions example.png, it will be located at /root/input_data/example.png.

Use the code base located at `/root/mnm/mnm` 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/mnm'])
```

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

------Action------
THOUGHT:
First, I need to find a function in the `mnm` codebase that can retrieve movie details, including the genre. Once I have the genre, I can then search for a function that provides a general overview of themes typically found in films of that genre.
ACTION TYPE:
search
ACTION CONTENT:
text: movie details
text: genre overview

-----Response-----
RESPONSE (Retrieval Result):
QUERY:
text: movie details

CODE BLOCKS:
---
file_path=mnm/tool_api.py
lines=[943, 971]
type=FUNCTION
content={
def search_movie(movie_title: str, movie_year: str, ckpt=None):
    """
    Retrieve basic movie information, including title, year, genre, and director.
    """
    # paren_start = input['movie_title'].find('(')
    url = "http://www.omdbapi.com/"
    params = {
        "t": movie_title,
        "y": movie_year,
        "plot": "short",
        "r": "json",
        "apikey": OMDB_API_KEY,
    }
    response = requests.get(url, params=params)
    result_formatted = response.json()

    selected_keys = ["Title", "Year", "Genre", "Director", "Plot"]
    desc = ""
    if len(result_formatted) > 0:
        for k, v in result_formatted.items():
            # print(k, v)
            if k in selected_keys and len(v) > 0:
                desc += f"{k}: {v}\n"
    else:
        desc = "Movie not found!"
    result_formatted = {"text": desc}

    return result_formatted
}
---
file_path=mnm/tool_api.py
lines=[879, 893]
type=FUNCTION
content={
def get_math_fact(number: str, ckpt=None):
    """
    It provides interesting math facts about numbers.
    """
    url = f"https://numbersapi.p.rapidapi.com/{number}/math"
    params = {"fragment": "true", "json": "true"}
    headers = {
        "X-RapidAPI-Key": RAPID_API_KEY,
        "X-RapidAPI-Host": "numbersapi.p.rapidapi.com",
    }
    response = requests.get(url, headers=headers, params=params)
    result_formatted = response.json()

    return result_formatted
}
---
file_path=mnm/tool_api.py
lines=[973, 983]
type=FUNCTION
content={
def get_weather(lon: str, lat: str, ckpt=None):
    """
    Provides weather forecast data based on specific geographical coordinates.
    """
    url = "http://www.7timer.info/bin/api.pl"
    params = {"lon": lon, "lat": lat, "product": "civil", "output": "json"}
    response = requests.get(url, params=params)
    result_formatted = {"objects": response.json()["dataseries"]}

    return result_formatted
}
---
(33 additional code blocks not shown. Search again with the same query to see additional results.)

Prototypes for the next 7 out of 30 classes/functions found in unexpanded results (search again with the same query to see details):
def get_trivia_fact(number: str, ckpt=None): ... # mnm/tool_api.py
def get_date_fact(date: str, ckpt=None): ... # mnm/tool_api.py
def save_output(task_idx, node_idx, output_dict, result_folder): ... # mnm/tool_api.py
def object_detection(image, ckpt=MODEL_SELECTION['object_detection']): ... # mnm/tool_api.py
def love_calculator(first_name: str, second_name: str, ckpt=None): ... # mnm/tool_api.py
def get_location(city: str, ckpt=None): ... # mnm/tool_api.py
def background_blur(image, object, ckpt=None): ... # mnm/tool_api.py

QUERY:
text: genre overview

CODE BLOCKS:
---
file_path=mnm/tool_api.py
lines=[895, 909]
type=FUNCTION
content={
def get_trivia_fact(number: str, ckpt=None):
    """
    It provides interesting trivia facts about number.
    """
    url = f"https://numbersapi.p.rapidapi.com/{number}/trivia"
    params = {"fragment": "true", "json": "true"}
    headers = {
        "X-RapidAPI-Key": RAPID_API_KEY,
        "X-RapidAPI-Host": "numbersapi.p.rapidapi.com",
    }
    response = requests.get(url, headers=headers, params=params)
    result_formatted = response.json()

    return result_formatted
}
---
file_path=mnm/tool_api.py
lines=[111, 141]
type=FUNCTION
content={
def text_generation(text: str, ckpt=MODEL_SELECTION['text_generation']):
    """
    Generates a continuation of the given input text using a specified language model.
    
    Args:
        text (str): The input text prompt to be continued.
        ckpt (str, optional): The identifier for the language model to be used. Defaults to the model specified in MODEL_SELECTION["text_generation"].
    
    Returns:
        dict: A dictionary containing the generated text under the key 'text'.
    
    Raises:
        KeyError: If the OPENAI_API_KEY environment variable is not set.
        APIError: If the OpenAI API encounters an issue with the request.
    
    Examples:
        >>> generated_text = text_generation("Once upon a time")
        >>> print(generated_text)
        {'text': '...continued text from the model...'}
    """
    ...
}
---
file_path=mnm/tool_api.py
lines=[143, 163]
type=FUNCTION
content={
def text_summarization(text: str, ckpt=MODEL_SELECTION['text_summarization']):
    """
    Summarizes a given text into a few sentences using a pre-trained model.
    
    Args:
        text (str): The text to be summarized.
        ckpt: The checkpoint or model identifier to use for the summarization pipeline. Defaults to a pre-selected model checkpoint.
    
    Returns:
        dict: A dictionary containing the summarized text under the key 'text'.
    
    Examples:
        summary = text_summarization("The quick brown fox jumps over the lazy dog.")
        print(summary)  # Outputs a summarized version of the input text.
    """
    ...
}
---
(19 additional code blocks not shown. Search again with the same query to see additional results.)

Prototypes for the next 7 out of 17 classes/functions found in unexpanded results (search again with the same query to see details):
def love_calculator(first_name: str, second_name: str, ckpt=None): ... # mnm/tool_api.py
def get_year_fact(year: str, ckpt=None): ... # mnm/tool_api.py
def emoji(image, object, emoji, ckpt=None): ... # mnm/tool_api.py
def automatic_speech_recognition(audio: str, ckpt=MODEL_SELECTION['automatic_speech_recognition']): ... # mnm/tool_api.py
def get_location(city: str, ckpt=None): ... # mnm/tool_api.py
def image_crop_top(image, ckpt=None): ... # mnm/tool_api.py
def image_processing(img): ... # mnm/tool_api.py

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

------Action------
THOUGHT:
The function `search_movie` from the `mnm` codebase can be used to retrieve the movie details, including the genre, for the movie "Moonlight" from 2016. Once I have the genre, I can use the `text_generation` function to generate a general overview of the themes typically found in films of that genre.
ACTION TYPE:
code
ACTION CONTENT:
from mnm.tool_api import search_movie, text_generation

# Retrieve movie details for "Moonlight" (2016)
movie_details = search_movie("Moonlight", "2016")

# Extract the genre from the movie details
genre = movie_details.get('text', '').split("Genre: ")[1].split("\n")[0] if 'Genre: ' in movie_details.get('text', '') else "Genre not found"

# Generate a general overview of the themes based on the genre
themes_overview = text_generation(f"Common themes in {genre} films include:") if genre != "Genre not found" else "Could not generate themes overview without genre"

-----Response-----
RESPONSE (Execution Result):
STDOUT:
{'text': '1. Love and relationships: Many dramas revolve around the complexities of love and relationships, exploring themes such as heartbreak, betrayal, and passion.\n\n2.Identity and self-discovery: Drama films often showcase characters on journeys of self-discovery, grappling with questions of identity and purpose.\n\n3. Loss and grief: Loss and grief are common themes in drama films, as characters navigate the emotional challenges of losing loved ones or coping with personal tragedies.\n\n4. Redemption and forgiveness: Many drama films focus on themes of redemption and forgiveness, as characters seek to make amends for past mistakes and find ways to move forward.\n\n5. Social injustice and activism: Some drama films explore themes of social injustice and activism, shining a light on important societal issues and the struggles of marginalized communities.\n\n6. Family dynamics: Family relationships and dynamics are often central to drama films, as characters navigate the complexities of parent-child relationships, sibling rivalries, and generational conflicts.\n\n7. Coming-of-age: Coming-of-age stories are a common theme in drama films, as characters undergo personal growth and transformation while navigating the challenges of growing up.\n\n8. Power and corruption: Drama films often explore themes of power and corruption, depicting characters who are driven by ambition, greed, or a desire for control.\n\n9. Mental health and addiction: Some drama films tackle themes of mental health and addiction, shedding light on the struggles of individuals dealing with issues such as depression, anxiety, and substance abuse.\n\n10. Resilience and'}

RELEVANT VARIABLES (only shown if string rep. has changed after code exec):
{"search_movie": <function search_movie at 0x7f9e8f6dbbe0>, "text_generation": <function text_generation at 0x7f9e8f6dab00>, "movie_details": {'text': 'Title: Moonlight\nYear: 2016\nGenre: Drama\nDirector: Barry Jenkins\nPlot: A young African-American man grapples with his identity and sexuality while experiencing the everyday struggles of childhood, adolescence, and burgeoning adulthood.\n'}, "genre": Drama, "themes_overview": {'text': '1. Love and relationships: Many dramas revolve around the complexities of love and relationships, exploring themes such as heartbreak, betrayal, and passion.\n\n2.Identity and self-discovery: Drama films often showcase characters on journeys of self-discovery, grappling with questions of identity and purpose.\n\n3. Loss and grief: Loss and grief are common themes in drama films, as characters navigate the emotional challenges of losing loved ones or coping with personal tragedies.\n\n4...}

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

------Action------
THOUGHT:
The code execution was successful. The movie "Moonlight" is classified as a Drama, and a general overview of themes typically encountered in drama films has been generated. I will now provide a summary of the solution.
ACTION TYPE:
code_summary
ACTION CONTENT:
from mnm.tool_api import search_movie, text_generation
movie_details = search_movie("Moonlight", "2016")
genre = movie_details.get('text', '').split("Genre: ")[1].split("\n")[0]
themes_overview = text_generation(f"Common themes in {genre} films include:")

-----Response-----
RESPONSE (User Message):
Summary received and stored.

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

------Action------
THOUGHT:
The task has been completed successfully, and the user has acknowledged receipt of the summary.
ACTION TYPE:
done
ACTION CONTENT:
True

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