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

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

-----Response-----
RESPONSE (User Message):
USER QUERY: "I'm planning a trip to latitude 29.79 and longitude 95.39. Could you inform me about the expected weather conditions in that region?"
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:
Before writing any code, I need to find a function in the `mnm` codebase that can retrieve weather information based on geographical coordinates. I will search for a function that can handle this task.
ACTION TYPE:
search
ACTION CONTENT:
text: weather AND (text: latitude OR text: longitude)

-----Response-----
RESPONSE (Retrieval Result):
QUERY:
text: weather AND (text: latitude OR text: longitude)

CODE BLOCKS:
---
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
}
---
file_path=mnm/tool_api.py
lines=[195, 226]
type=FUNCTION
content={
def automatic_speech_recognition(audio: str, ckpt=MODEL_SELECTION['automatic_speech_recognition']):
    """
    Performs automatic speech recognition on an audio file using a pre-trained model.
    
    Args:
        audio (str): The file path to the audio file to be transcribed.
        ckpt (str, optional): The checkpoint identifier of the pre-trained model to use. Defaults to the model specified in MODEL_SELECTION["automatic_speech_recognition"].
    
    Returns:
        dict: A dictionary containing the transcription of the audio file with the key 'text'.
    
    Raises:
        ImportError: If the required libraries (librosa, transformers) are not installed.
    
    Examples:
        >>> transcription = automatic_speech_recognition("path/to/audio/file.wav")
        >>> print(transcription)
        {'text': 'The transcribed text of the audio.'}
    """
    ...
}
---
file_path=mnm/tool_api.py
lines=[911, 929]
type=FUNCTION
content={
def love_calculator(first_name: str, second_name: str, ckpt=None):
    """
    Enter your name and the name of your partner/lover/crush to find Love compatibility & chances of successful love relationship.
    """
    url = "https://love-calculator.p.rapidapi.com/getPercentage"
    params = {"fname": first_name, "sname": second_name}
    headers = {
        "X-RapidAPI-Key": RAPID_API_KEY,
        "X-RapidAPI-Host": "love-calculator.p.rapidapi.com",
    }
    response = requests.get(url, headers=headers, params=params)
    result_formatted = response.json()
    result_formatted = {
        "number": result_formatted["percentage"],
        "message": result_formatted["result"],
    }

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

Prototypes for the next 7 out of 11 classes/functions found in unexpanded results (search again with the same query to see details):
def image_classification(image, ckpt=MODEL_SELECTION['image_classification']): ... # mnm/tool_api.py
def image_captioning(image, ckpt=MODEL_SELECTION['image_captioning']): ... # mnm/tool_api.py
def image_segmentation(image, ckpt=MODEL_SELECTION['image_segmentation']): ... # mnm/tool_api.py
def text_generation(text: str, ckpt=MODEL_SELECTION['text_generation']): ... # mnm/tool_api.py
def object_detection(image, ckpt=MODEL_SELECTION['object_detection']): ... # mnm/tool_api.py
def image_generation(text: str, ckpt=MODEL_SELECTION['image_generation']): ... # mnm/tool_api.py
def text_classification(text: str, ckpt=MODEL_SELECTION['text_classification']): ... # mnm/tool_api.py

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

------Action------
THOUGHT:
The first code block from the search results contains the `get_weather` function, which is exactly what we need to retrieve weather forecast data based on specific geographical coordinates. I will write code to call this function with the provided latitude and longitude.
ACTION TYPE:
code
ACTION CONTENT:
from mnm.tool_api import get_weather

# Latitude and longitude for the specified region
latitude = "29.79"
longitude = "95.39"

# Call the get_weather function with the provided coordinates
weather_info = get_weather(lon=longitude, lat=latitude)
print(weather_info)

-----Response-----
RESPONSE (Execution Result):
EXECUTION ERROR:
Traceback (most recent call last):
  File "/opt/conda/lib/python3.10/site-packages/requests/models.py", line 971, in json
    return complexjson.loads(self.text, **kwargs)
  File "/opt/conda/lib/python3.10/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
  File "/opt/conda/lib/python3.10/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/opt/conda/lib/python3.10/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/root/codenav/codenav/environments/code_env.py", line 88, in exec_with_informative_errors
    exec(code_str, global_vars)
  File "<string>", line 8, in <module>
  File "/root/mnm/mnm/tool_api.py", line 980, in get_weather
    result_formatted = {"objects": response.json()["dataseries"]}
  File "/opt/conda/lib/python3.10/site-packages/requests/models.py", line 975, in json
    raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

RELEVANT VARIABLES (only shown if string rep. has changed after code exec):
{"get_weather": <function get_weather at 0x7f40cf314160>, "latitude": 29.79, "longitude": 95.39}

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

------Action------
THOUGHT:
The execution error indicates that the `get_weather` function is failing to decode the JSON response from the weather API. This could be due to an invalid response from the API or an issue with the network. To handle this, I will add error checking to the code to ensure that the response is valid JSON before attempting to decode it. If the response is not valid JSON, I will print an error message.
ACTION TYPE:
code
ACTION CONTENT:
from mnm.tool_api import get_weather
import requests

# Latitude and longitude for the specified region
latitude = "29.79"
longitude = "95.39"

# Call the get_weather function with the provided coordinates
try:
    weather_info = get_weather(lon=longitude, lat=latitude)
    print(weather_info)
except requests.exceptions.JSONDecodeError as e:
    print("Failed to decode JSON from the weather API response:", e)
except Exception as e:
    print("An error occurred while fetching the weather information:", e)

-----Response-----
RESPONSE (Execution Result):
STDOUT:
Failed to decode JSON from the weather API response: Expecting value: line 1 column 1 (char 0)

RELEVANT VARIABLES (only shown if string rep. has changed after code exec):
{"requests": <module 'requests' from '/opt/conda/lib/python3.10/site-packages/requests/__init__.py'>}

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

------Action------
THOUGHT:
The JSON decoding error persists, which suggests that the API response might be empty or not in JSON format. This could be due to various reasons such as API downtime, invalid parameters, or network issues. Since the error handling code is already in place and the issue seems to be with the API response, I will inform the user that the task cannot be completed due to an issue with the weather API response.
ACTION TYPE:
done
ACTION CONTENT:
False

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

********************************************************************************
Step 6
********************************************************************************

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

-----Response-----
RESPONSE (User Message):
Please immediately take a code_summary action to generate a summary of your code produced so far. If you have not produced any code yet, make an educated guess based on what you have learned so far.

********************************************************************************
Step 7
********************************************************************************

------Action------
THOUGHT:
The user has requested a code summary of the actions taken so far. I will summarize the steps taken to attempt to retrieve the weather information using the `get_weather` function from the `mnm` codebase and the error handling that was added to address the JSON decoding issue.
ACTION TYPE:
code_summary
ACTION CONTENT:
from mnm.tool_api import get_weather
import requests

# Latitude and longitude for the specified region
latitude = "29.79"
longitude = "95.39"

# Call the get_weather function with the provided coordinates
try:
    weather_info = get_weather(lon=longitude, lat=latitude)
    print(weather_info)
except requests.exceptions.JSONDecodeError as e:
    print("Failed to decode JSON from the weather API response:", e)
except Exception as e:
    print("An error occurred while fetching the weather information:", e)

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