diff --git a/examples/log/6f37996b-2ac7-44b0-8e68-6d28256631b4.log b/examples/log/6f37996b-2ac7-44b0-8e68-6d28256631b4.log
index 973ccba..0f4086d 100644
--- a/examples/log/6f37996b-2ac7-44b0-8e68-6d28256631b4.log
+++ b/examples/log/6f37996b-2ac7-44b0-8e68-6d28256631b4.log
@@ -388,3 +388,96 @@ The subset of S involved in any possible counter-examples that prove * is not co
b, c, d, e
These elements are already listed in alphabetical order.
+2024-01-02 16:49:09,244 - INFO - Anonymized telemetry enabled. See https://docs.trychroma.com/telemetry for more information.
+2024-01-02 16:49:16,770 - WARNING - Found cached dataset gaia (/home/heroding/.cache/huggingface/datasets/gaia-benchmark___gaia/2023_level1/0.0.1/ec492fe4320ee795b1aed6bb46229c5f693226b0f1316347501c24b4baeee005)
+2024-01-02 16:49:18,221 - INFO - HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK"
+2024-01-02 16:50:18,528 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-02 16:50:18,529 - INFO - To solve this QA task, we need to analyze the given table and determine if the operation * is commutative on the set S = {a, b, c, d, e}. An operation is commutative if for all elements x and y in the set, the equation x * y = y * x holds true. If we find any pair of elements (x, y) for which x * y ≠ y * x, then we have a counter-example that proves * is not commutative.
+
+We will go through the table and compare the elements in a pairwise manner to check for commutativity. If we find any elements that do not commute, we will add them to a set of counter-examples.
+
+Here is the step-by-step reasoning process:
+
+1. Compare the element at position (i, j) with the element at position (j, i) for all i, j in the set {a, b, c, d, e}, where i ≠ j.
+2. If the elements at (i, j) and (j, i) are different, record the pair (i, j) as a counter-example.
+3. After comparing all pairs, collect all unique elements involved in the counter-examples.
+4. Sort the unique elements in alphabetical order and provide them as a comma-separated list.
+
+Since this is a QA task, we do not need to write code or call an API. We will perform logical reasoning based on the information provided in the table.
+
+Here is the JSON result for the subtask:
+
+```json
+{
+ "find_counter_examples": {
+ "name": "find_counter_examples",
+ "description": "Analyze the given table to find any possible counter-examples that prove * is not commutative by comparing the elements at position (i, j) with the elements at position (j, i) for all i, j in the set {a, b, c, d, e}, where i ≠ j. Record any pairs (i, j) where the elements differ, collect all unique elements involved in the counter-examples, sort them in alphabetical order, and provide them as a comma-separated list.",
+ "dependencies": [],
+ "type": "QA"
+ }
+}
+```
+
+Now, let's perform the analysis:
+
+- Comparing a * b with b * a, we have b ≠ b (false, they are equal).
+- Comparing a * c with c * a, we have c ≠ c (false, they are equal).
+- Comparing a * d with d * a, we have b ≠ b (false, they are equal).
+- Comparing a * e with e * a, we have d ≠ d (false, they are equal).
+- Comparing b * c with c * b, we have c ≠ a (true, they are different).
+- Comparing b * d with d * b, we have e ≠ e (false, they are equal).
+- Comparing b * e with e * b, we have c ≠ b (true, they are different).
+- Comparing c * d with d * c, we have b ≠ b (false, they are equal).
+- Comparing c * e with e * c, we have a ≠ a (false, they are equal).
+- Comparing d * e with e * d, we have d ≠ d (false, they are equal).
+
+From the analysis, we have two counter-examples: (b, c) and (b, e). The unique elements involved in these counter-examples are b, c, and e.
+
+Sorting these elements in alphabetical order, we get: b, c, e.
+
+Therefore, the subset of S involved in any possible counter-examples that prove * is not commutative is {b, c, e}.
+2024-01-02 16:51:00,562 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-02 16:51:00,563 - INFO - To determine if the operation * defined on the set S = {a, b, c, d, e} is commutative, we need to check if the operation satisfies the commutative property for all pairs of elements in S. The commutative property states that for any two elements x and y in S, the equation x * y = y * x must hold true.
+
+We will check the table for any counter-examples where x * y ≠ y * x. If we find any such pairs, we will include those elements in our subset.
+
+Let's go through the table systematically:
+
+- For a * b and b * a: a * b = b, but b * a = b. This pair satisfies the commutative property.
+- For a * c and c * a: a * c = c, but c * a = a. This pair does not satisfy the commutative property, so a and c are part of the subset.
+- For a * d and d * a: a * d = b, but d * a = b. This pair satisfies the commutative property.
+- For a * e and e * a: a * e = d, but e * a = d. This pair satisfies the commutative property.
+- For b * c and c * b: b * c = a, but c * b = b. This pair does not satisfy the commutative property, so b and c are part of the subset.
+- For b * d and d * b: b * d = e, but d * b = e. This pair satisfies the commutative property.
+- For b * e and e * b: b * e = c, but e * b = b. This pair does not satisfy the commutative property, so b and e are part of the subset.
+- For c * d and d * c: c * d = b, but d * c = b. This pair satisfies the commutative property.
+- For c * e and e * c: c * e = a, but e * c = a. This pair satisfies the commutative property.
+- For d * e and e * d: d * e = d, but e * d = d. This pair satisfies the commutative property.
+
+From the above checks, we have found that the pairs (a, c), (b, c), and (b, e) do not satisfy the commutative property. Therefore, the elements involved in these counter-examples are a, b, c, and e.
+
+The subset of S involved in any possible counter-examples that prove * is not commutative is: a, b, c, e
+
+The elements are already listed in alphabetical order.
+2024-01-02 16:51:00,563 - INFO - To determine if the operation * defined on the set S = {a, b, c, d, e} is commutative, we need to check if the operation satisfies the commutative property for all pairs of elements in S. The commutative property states that for any two elements x and y in S, the equation x * y = y * x must hold true.
+
+We will check the table for any counter-examples where x * y ≠ y * x. If we find any such pairs, we will include those elements in our subset.
+
+Let's go through the table systematically:
+
+- For a * b and b * a: a * b = b, but b * a = b. This pair satisfies the commutative property.
+- For a * c and c * a: a * c = c, but c * a = a. This pair does not satisfy the commutative property, so a and c are part of the subset.
+- For a * d and d * a: a * d = b, but d * a = b. This pair satisfies the commutative property.
+- For a * e and e * a: a * e = d, but e * a = d. This pair satisfies the commutative property.
+- For b * c and c * b: b * c = a, but c * b = b. This pair does not satisfy the commutative property, so b and c are part of the subset.
+- For b * d and d * b: b * d = e, but d * b = e. This pair satisfies the commutative property.
+- For b * e and e * b: b * e = c, but e * b = b. This pair does not satisfy the commutative property, so b and e are part of the subset.
+- For c * d and d * c: c * d = b, but d * c = b. This pair satisfies the commutative property.
+- For c * e and e * c: c * e = a, but e * c = a. This pair satisfies the commutative property.
+- For d * e and e * d: d * e = d, but e * d = d. This pair satisfies the commutative property.
+
+From the above checks, we have found that the pairs (a, c), (b, c), and (b, e) do not satisfy the commutative property. Therefore, the elements involved in these counter-examples are a, b, c, and e.
+
+The subset of S involved in any possible counter-examples that prove * is not commutative is: a, b, c, e
+
+The elements are already listed in alphabetical order.
diff --git a/examples/log/cffe0e32-c9a6-4c52-9877-78ceb4aaa9fb.log b/examples/log/cffe0e32-c9a6-4c52-9877-78ceb4aaa9fb.log
index 70707d2..695a8d3 100644
--- a/examples/log/cffe0e32-c9a6-4c52-9877-78ceb4aaa9fb.log
+++ b/examples/log/cffe0e32-c9a6-4c52-9877-78ceb4aaa9fb.log
@@ -1124,3 +1124,304 @@ class identify_non_giver(BaseAction):
```
identify_non_giver()(employees=["Alice", "Bob", "Charlie"], matched_gifts=["Alice", "Charlie"], working_dir="/home/heroding/桌面/Jarvis/working_dir")
+2024-01-03 13:54:12,807 - INFO - Anonymized telemetry enabled. See https://docs.trychroma.com/telemetry for more information.
+2024-01-03 13:54:21,139 - INFO - HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK"
+2024-01-03 13:54:52,365 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-03 13:54:52,366 - INFO - To accomplish the task of determining who did not give a gift in the Secret Santa exchange, we need to analyze the document provided. The document is located at `/storage/hf-datasets-cache/medium/datasets/60530074150638-config-parquet-and-info-gaia-benchmark-GAIA-6a4b2225/downloads/1593b793b4874121c23969b271774a9a59f8a86f37c05e51bd7a35405efdf5c0`. Since the file path suggests that the document may be in Parquet format (as indicated by the 'parquet' in the path), we will need to read the Parquet file, analyze the data to find out who did not give a gift, and then summarize the result.
+
+The subtasks can be decomposed as follows:
+
+1. Read the Parquet file: We need to read the content of the Parquet file to access the profiles and gift exchange information.
+
+2. Analyze the data: After reading the file, we need to analyze the data to determine which of the twelve employees did not give a gift. This involves checking the gift-giving records against the employee profiles.
+
+3. Summarize the result: Once we have identified the employee who did not give a gift, we need to summarize this information.
+
+Here is the JSON representation of the subtasks:
+
+```json
+{
+ "read_parquet_file": {
+ "name": "read_parquet_file",
+ "description": "Read the content of the Parquet file located at the specified path to access the profiles and gift exchange information.",
+ "dependencies": [],
+ "type": "Code"
+ },
+ "analyze_gift_exchange_data": {
+ "name": "analyze_gift_exchange_data",
+ "description": "Analyze the data from the Parquet file to determine which of the twelve employees did not give a gift by checking the gift-giving records against the employee profiles.",
+ "dependencies": ["read_parquet_file"],
+ "type": "Code"
+ },
+ "summarize_result": {
+ "name": "summarize_result",
+ "description": "Summarize the information of the employee who did not give a gift based on the analysis of the gift exchange data.",
+ "dependencies": ["analyze_gift_exchange_data"],
+ "type": "QA"
+ }
+}
+```
+
+This JSON structure represents the subtasks and their dependencies, which can be executed in sequence to complete the overall task.
+2024-01-03 13:54:53,417 - INFO - HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK"
+2024-01-03 13:55:34,586 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-03 13:55:34,586 - INFO - ```python
+from jarvis.action.base_action import BaseAction
+import pandas as pd
+import os
+
+class read_parquet_file(BaseAction):
+ def __init__(self):
+ self._description = "Read the content of a Parquet file located at the specified path."
+
+ def __call__(self, file_path, working_directory=None, *args, **kwargs):
+ """
+ Read the content of the Parquet file located at the specified path.
+
+ Args:
+ file_path (str): The path to the Parquet file to be read.
+ working_directory (str, optional): The working directory where the operation will be performed.
+ If not provided, the current working directory will be used.
+
+ Returns:
+ DataFrame: The content of the Parquet file as a pandas DataFrame.
+ """
+ # If a working directory is provided, change to that directory
+ if working_directory:
+ os.chdir(working_directory)
+ else:
+ # Use the current working directory if none is provided
+ working_directory = os.getcwd()
+
+ # Construct the full path to the Parquet file
+ full_path = os.path.join(working_directory, file_path)
+
+ # Read the Parquet file
+ try:
+ df = pd.read_parquet(full_path)
+ print(f"Read Parquet file at {full_path} successfully.")
+ return df
+ except FileNotFoundError:
+ print(f"Failed to read Parquet file: {full_path} does not exist.")
+ except Exception as e:
+ print(f"An error occurred while reading the Parquet file {full_path}: {e}")
+
+# Example of how to use the class (this should be in the comments and not executed):
+# reader = read_parquet_file()
+# dataframe = reader(file_path='profiles.parquet', working_directory='/home/wengzhenmin/Projects/jarvis/working_dir')
+```
+
+read_parquet_file()(file_path='profiles.parquet', working_directory='/home/wengzhenmin/Projects/jarvis/working_dir')
+2024-01-03 13:55:34,932 - INFO - Failed to read Parquet file: /home/wengzhenmin/Projects/jarvis/working_dir/profiles.parquet does not exist.
+
+None
+
+2024-01-03 13:55:56,318 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-03 13:55:56,319 - INFO - ```json
+{
+ "reasoning": "The code is designed to read a Parquet file from a specified path and return its contents as a pandas DataFrame. The task requires reading profiles and gift exchange information from a Parquet file. The code output indicates that the file 'profiles.parquet' does not exist in the specified working directory, which is confirmed by the list of files and folders in the current working directory. The file 'profiles.parquet' is not present, hence the task of reading the Parquet file could not be completed. The code is somewhat general as it allows for reading any Parquet file from a given path and can handle FileNotFoundError and other exceptions. However, it does not check if the file path is a Parquet file, lacks detailed error handling for different types of exceptions, and does not restore the original working directory after changing it.",
+ "judge": false,
+ "score": 5
+}
+```
+2024-01-03 13:56:37,829 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-03 13:56:37,830 - INFO - ```python
+from jarvis.action.base_action import BaseAction
+import pandas as pd
+import os
+
+class read_parquet_file(BaseAction):
+ def __init__(self):
+ self._description = "Read the content of a Parquet file located at the specified path."
+
+ def __call__(self, file_path, working_directory=None, *args, **kwargs):
+ """
+ Read the content of the Parquet file located at the specified path.
+
+ Args:
+ file_path (str): The path to the Parquet file to be read.
+ working_directory (str, optional): The working directory where the operation will be performed.
+ If not provided, the current working directory will be used.
+
+ Returns:
+ DataFrame: The content of the Parquet file as a pandas DataFrame.
+ """
+ # Save the current working directory to restore later
+ original_working_directory = os.getcwd()
+
+ # If a working directory is provided, change to that directory
+ if working_directory:
+ os.chdir(working_directory)
+
+ # Construct the full path to the Parquet file
+ full_path = os.path.join(working_directory or original_working_directory, file_path)
+
+ # Read the Parquet file
+ try:
+ if not full_path.lower().endswith('.parquet'):
+ raise ValueError("The file path provided does not point to a Parquet file.")
+ df = pd.read_parquet(full_path)
+ print(f"Read Parquet file at {full_path} successfully.")
+ return df
+ except FileNotFoundError:
+ print(f"Failed to read Parquet file: {full_path} does not exist.")
+ except ValueError as ve:
+ print(ve)
+ except Exception as e:
+ print(f"An error occurred while reading the Parquet file {full_path}: {e}")
+ finally:
+ # Restore the original working directory
+ os.chdir(original_working_directory)
+
+# The code related to class instantiation and invocation must be commented out
+# reader = read_parquet_file()
+# dataframe = reader(file_path='profiles.parquet', working_directory='/home/wengzhenmin/Projects/jarvis/working_dir')
+```
+
+read_parquet_file()(file_path='profiles.parquet', working_directory='/home/wengzhenmin/Projects/jarvis/working_dir')
+2024-01-03 13:56:38,149 - INFO - Failed to read Parquet file: /home/wengzhenmin/Projects/jarvis/working_dir/profiles.parquet does not exist.
+
+None
+
+2024-01-03 13:57:01,374 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-03 13:57:01,375 - INFO - ```json
+{
+ "reasoning": "The provided code defines a class 'read_parquet_file' that inherits from 'BaseAction' and is intended to read the content of a Parquet file located at a specified path. The '__call__' method is designed to handle the reading of the file, with the ability to specify a working directory. The code checks if the file path ends with '.parquet' and attempts to read it using pandas' 'read_parquet' function. The code output indicates that the file 'profiles.parquet' does not exist in the specified working directory. The task description requires reading a Parquet file to access profiles and gift exchange information, but the file is not present in the current working directory, as confirmed by the list of files and folders provided. Therefore, the task is not complete because the required file is missing. The code is moderately generalizable as it includes error handling for file existence and file type, and it restores the original working directory after the operation. However, it lacks comprehensive exception handling for all potential pandas errors and does not provide a mechanism to ensure the file's existence before attempting to read it.",
+ "judge": false,
+ "score": 6
+}
+```
+2024-01-03 13:57:30,925 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-03 13:57:30,926 - INFO - ```python
+from jarvis.action.base_action import BaseAction
+import pandas as pd
+import os
+
+class read_parquet_file(BaseAction):
+ def __init__(self):
+ self._description = "Read the content of a Parquet file located at the specified path."
+
+ def __call__(self, file_path, working_directory=None, *args, **kwargs):
+ """
+ Read the content of the Parquet file located at the specified path.
+
+ Args:
+ file_path (str): The path to the Parquet file to be read.
+ working_directory (str, optional): The working directory where the operation will be performed.
+ If not provided, the current working directory will be used.
+
+ Returns:
+ DataFrame: The content of the Parquet file as a pandas DataFrame.
+ """
+ # Save the current working directory to restore later
+ original_working_directory = os.getcwd()
+
+ # If a working directory is provided, change to that directory
+ if working_directory:
+ os.chdir(working_directory)
+
+ # Construct the full path to the Parquet file
+ full_path = os.path.join(working_directory or original_working_directory, file_path)
+
+ # Check if the file exists before attempting to read
+ if not os.path.exists(full_path):
+ print(f"Failed to read Parquet file: {full_path} does not exist.")
+ os.chdir(original_working_directory) # Restore the original working directory
+ return None
+
+ # Read the Parquet file
+ try:
+ if not full_path.lower().endswith('.parquet'):
+ raise ValueError("The file path provided does not point to a Parquet file.")
+ df = pd.read_parquet(full_path)
+ print(f"Read Parquet file at {full_path} successfully.")
+ return df
+ except ValueError as ve:
+ print(ve)
+ except Exception as e:
+ print(f"An error occurred while reading the Parquet file {full_path}: {e}")
+ finally:
+ # Restore the original working directory
+ os.chdir(original_working_directory)
+```
+
+read_parquet_file()(file_path='profiles.parquet', working_directory='/home/wengzhenmin/Projects/jarvis/working_dir')
+2024-01-03 13:57:31,237 - INFO - Failed to read Parquet file: /home/wengzhenmin/Projects/jarvis/working_dir/profiles.parquet does not exist.
+
+None
+
+2024-01-03 13:57:42,695 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-03 13:57:42,696 - INFO - ```json
+{
+ "reasoning": "The code is designed to read a Parquet file from a specified path and return its contents as a pandas DataFrame. The task is to read profiles and gift exchange information from a Parquet file. The code output indicates that the file 'profiles.parquet' does not exist in the specified working directory, which is confirmed by the list of files and folders in the current working directory. Therefore, the code did not complete the task because the required file is not present in the working directory. The code is somewhat generalized as it checks for the existence of the file, handles different exceptions, and attempts to restore the original working directory after the operation. However, it lacks comprehensive error handling for different types of exceptions that might occur during file reading and does not provide a mechanism to log errors or warnings, which would be useful for debugging and tracking issues in a production environment.",
+ "judge": false,
+ "score": 5
+}
+```
+2024-01-03 13:58:10,087 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-03 13:58:10,088 - INFO - ```python
+from jarvis.action.base_action import BaseAction
+import pandas as pd
+import os
+
+class read_parquet_file(BaseAction):
+ def __init__(self):
+ self._description = "Read the content of a Parquet file located at the specified path."
+
+ def __call__(self, file_path, working_directory=None, *args, **kwargs):
+ """
+ Read the content of the Parquet file located at the specified path.
+
+ Args:
+ file_path (str): The path to the Parquet file to be read.
+ working_directory (str, optional): The working directory where the operation will be performed.
+ If not provided, the current working directory will be used.
+
+ Returns:
+ DataFrame: The content of the Parquet file as a pandas DataFrame.
+ """
+ # Save the current working directory to restore later
+ original_working_directory = os.getcwd()
+
+ # If a working directory is provided, change to that directory
+ if working_directory:
+ os.chdir(working_directory)
+
+ # Construct the full path to the Parquet file
+ full_path = os.path.join(working_directory or original_working_directory, file_path)
+
+ # Check if the file exists before attempting to read
+ if not os.path.exists(full_path):
+ print(f"Failed to read Parquet file: {full_path} does not exist.")
+ os.chdir(original_working_directory) # Restore the original working directory
+ return None
+
+ # Read the Parquet file
+ try:
+ if not full_path.lower().endswith('.parquet'):
+ raise ValueError("The file path provided does not point to a Parquet file.")
+ df = pd.read_parquet(full_path)
+ print(f"Read Parquet file at {full_path} successfully.")
+ return df
+ except ValueError as ve:
+ print(ve)
+ except Exception as e:
+ print(f"An error occurred while reading the Parquet file {full_path}: {e}")
+ finally:
+ # Restore the original working directory
+ os.chdir(original_working_directory)
+```
+
+read_parquet_file()('profiles.parquet')
+2024-01-03 13:58:10,401 - INFO - Failed to read Parquet file: /home/wengzhenmin/Projects/jarvis/working_dir/profiles.parquet does not exist.
+
+None
+
+2024-01-03 13:58:24,144 - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
+2024-01-03 13:58:24,145 - INFO - ```json
+{
+ "reasoning": "The code is designed to read a Parquet file from a specified path and return its contents as a pandas DataFrame. The task is to read the content of a Parquet file to access profiles and gift exchange information. The code output indicates that the file 'profiles.parquet' does not exist in the specified working directory, which is confirmed by the list of files and folders in the current working directory. Therefore, the code could not complete the task because the required file is not present in the working directory. The code is moderately general; it checks for the existence of the file, ensures the file has a '.parquet' extension, and handles exceptions. However, it could be improved by providing more detailed error messages, handling different file path formats, and potentially logging errors instead of printing them. It also restores the original working directory after execution, which is a good practice.",
+ "judge": false,
+ "score": 6
+}
+```
diff --git a/examples/run.py b/examples/run.py
index b621381..b7b99b2 100644
--- a/examples/run.py
+++ b/examples/run.py
@@ -33,7 +33,7 @@ def main():
parser.add_argument('--config_path', type=str, default='config.json', help='openAI config file path')
parser.add_argument('--query', type=str, default=None, help='user query')
parser.add_argument('--query_file_path', type=str, default='', help='user query file path')
- parser.add_argument('--task_id', type=str, default="e1fc63a2-da7a-432f-be78-7c4a95598703", help='GAIA dataset task_id')
+ parser.add_argument('--task_id', type=str, default="5cfb274c-0207-4aa7-9575-6ac0bd95d9b2", help='GAIA dataset task_id')
parser.add_argument('--cache_dir', type=str, default=None, help='GAIA dataset cache dir path')
parser.add_argument('--logging_filedir', type=str, default='log', help='GAIA dataset cache dir path')
args = parser.parse_args()
@@ -84,7 +84,7 @@ def main():
relevant_code = retrieve_agent.retrieve_action_code_pair(retrieve_name)
# task execute step
if type == 'QA':
- result = execute_agent.question_and_answer_action(pre_tasks_info, task)
+ result = execute_agent.question_and_answer_action(pre_tasks_info, description)
print(result)
else:
invoke = ''
diff --git a/jarvis/api/image_caption/gpt4v_caption.py b/jarvis/api/image_caption/gpt4v_caption.py
new file mode 100644
index 0000000..e69de29