Spaces:
Sleeping
Sleeping
Add file handling functionality
Browse files- .gitignore +1 -0
- basic_agent.py +101 -21
- file_handler.py +144 -0
.gitignore
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__pycache__/**
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__pycache__/**
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files/**
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basic_agent.py
CHANGED
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import os
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class BasicAgent:
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def __init__(self):
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print("BasicAgent initialized.")
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def __call__(self, task_id: str, question: str) -> str:
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print(f"
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agent = ToolCallingAgent(
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tools=
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WikipediaSearchTool(), PythonInterpreterTool()],
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model=model,
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max_steps=
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name="
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description="
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authorized_imports=['statistics', 'unicodedata', 'collections', 'queue',
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'time', 'pandas', 'stat', 'random', 'datetime', 're', 'math', 'itertools'],
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verbosity_level=2
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)
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answer = agent.run(
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f"""
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Answer the question using the tools provided. If you need to search the web, use the DuckDuckGoSearchTool.
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If you find relevant information, use it to answer the question. Do not make up answers.
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If you cannot find an answer, respond with 'I don't know'. Provide only the final answer, not the steps taken.
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Question: {question}
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"""
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)
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return answer
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import os
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# This assumes 'file_handler.py' is in the same directory or accessible via PYTHONPATH
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from file_handler import get_task_file_path, DEFAULT_FILES_DIR
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from smolagents import (
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ToolCallingAgent,
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DuckDuckGoSearchTool,
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VisitWebpageTool,
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WikipediaSearchTool,
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PythonInterpreterTool,
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LiteLLMModel
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)
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class BasicAgent:
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def __init__(self):
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print("BasicAgent initialized.")
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# This agent will use the DEFAULT_FILES_DIR from file_handler for context in prompts
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self.files_dir_for_prompt_context = os.path.abspath(DEFAULT_FILES_DIR)
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def __call__(self, task_id: str, question: str) -> str:
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print(f"\nProcessing Task ID: {task_id}")
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print(f"Original Question (first 70 chars): {question[:70]}...")
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# Use the function from file_handler.py to get the local file path
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# This function handles checking local first, then downloading.
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# It uses DEFAULT_FILES_DIR ("files") by default.
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local_file_path_str = get_task_file_path(task_id)
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file_context_for_prompt: str
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if local_file_path_str:
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file_context_for_prompt = (
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f"--- File Information for Task ID '{task_id}' ---\n"
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f"A file relevant to this task has been made available to the agent. "
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# local_file_path_str is the string filename
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f"Its local path is: '{local_file_path_str}'. "
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"If the question requires information from this file, you MUST pass the full path to the proper tool "
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"to access and process its content from this exact local path."
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f"--- End File Information ---"
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)
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else:
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file_context_for_prompt = ""
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question_to_llm = (
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f"{question}\n\n"
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f"{file_context_for_prompt}\n"
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)
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print(
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f"\nContext for LLM (first 400 chars of question part):\n{question_to_llm[:400]}...")
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# LLM as specified by the user
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model = LiteLLMModel(
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model_id="groq/deepseek-r1-distill-llama-70b",
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api_key=os.getenv("GROQ_API_KEY")
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)
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# Simplified and generic tool descriptions
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python_tool_description = (
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"Executes Python code. This is vital for calculations, data manipulation, "
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"or accessing content of local files. If 'File Information' (provided with the question) "
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f"gives a local path for a file (e.g., '{os.path.join(self.files_dir_for_prompt_context, "example_task_file.ext")}'), "
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"you MUST use this tool to open and process that file using its full, exact path. "
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"Output from `print()` in your code will be returned. Ensure code is self-contained."
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)
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agent_tools = [
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DuckDuckGoSearchTool(),
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VisitWebpageTool(),
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WikipediaSearchTool(),
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PythonInterpreterTool(authorized_imports=[
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'statistics', 'unicodedata', 'collections', 'queue', 'time', 'pandas',
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'stat', 'random', 'datetime', 're', 'math', 'itertools', 'os', 'sys',
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'io', 'csv', 'json', 'pathlib', 'subprocess', 'base64'
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])
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]
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agent = ToolCallingAgent(
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tools=agent_tools,
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model=model,
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max_steps=8,
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name="TaskProcessorAgent",
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description="An agent designed to answer questions by searching the web, processing local files (if a path is provided in 'File Information'), and executing Python code.",
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verbosity_level=2
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)
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# Simplified prompt template
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prompt_template = f"""
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Your primary goal is to accurately and concisely answer the provided question using your available tools and any supplied information.
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Key Instructions:
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1. **Understand the Task**: Carefully read the entire question. Crucially, examine the "File Information" section that follows the question. This section will state if a local file is available for this task and provide its exact path if so.
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2. **Select Tools Strategically**:
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* Choose the best tool(s) based on the question and any file details. Tool descriptions will help guide your choice.
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* For web research, use search tools. Use `VisitWebpageTool` for exploring specific URLs.
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* **Working with Local Files**: If the "File Information" section provides a local file path:
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* You **MUST** use the `PythonInterpreterTool` if the file's content is needed to answer the question.
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* Your Python code for the tool should open this file using the full, exact local path given in "File Information". Then, read, process, or execute its content as appropriate.
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* For general calculations, data analysis (not from a local file mentioned in "File Information"), or other Python tasks, use `PythonInterpreterTool`.
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3. **Verify and Combine Information**:
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* If multiple steps or tools are used, synthesize the information.
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* Always evaluate information for accuracy and direct relevance to the question asked.
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* Base your final answer *only* on the information you have gathered.
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4. **Formulate Your Response**:
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* Provide only the final, concise answer to the question.
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* Do not include your reasoning steps, apologies, self-correction narratives, or any conversational filler in the final answer.
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* If, after a thorough investigation with all relevant tools, you cannot determine a definitive answer, respond with the exact phrase 'I don't know'.
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--- Start of Question & File Information ---
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{question_to_llm}
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--- End of Question & File Information ---
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"""
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answer = agent.run(prompt_template)
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print(f"Agent returning answer for Task ID {task_id}: {answer}")
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return answer
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file_handler.py
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import os
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import re
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import requests
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DEFAULT_FILES_DIR = "files" # Subdirectory for task-related files
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FILE_API_BASE_URL = "https://agents-course-unit4-scoring.hf.space/files/"
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def _extract_filename_from_cd(cd_header: str | None) -> str | None:
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"""Extracts filename from Content-Disposition header."""
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if not cd_header:
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return None
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# Check for filename*=UTF-8''<encoded_filename>
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fname_star_match = re.search(
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r"filename\*=UTF-8''([^';\s]+)", cd_header, re.IGNORECASE)
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if fname_star_match:
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return requests.utils.unquote(fname_star_match.group(1))
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# Check for filename="<filename>"
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fname_match = re.search(r'filename="([^"]+)"', cd_header, re.IGNORECASE)
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if fname_match:
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return fname_match.group(1)
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# Check for plain filename=<filename>
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fname_plain_match = re.search(
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r'filename=([^;"]+)', cd_header, re.IGNORECASE)
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if fname_plain_match:
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return fname_plain_match.group(1).strip('"')
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return None
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def _get_extension_from_content_type(content_type: str | None) -> str | None:
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"""Suggests a file extension based on MIME type."""
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if not content_type:
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return None
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# Simple mapping, can be expanded
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mime_to_ext = {
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'text/plain': '.txt',
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'application/json': '.json',
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'text/csv': '.csv',
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'application/pdf': '.pdf',
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'image/jpeg': '.jpg',
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'image/png': '.png',
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'text/x-python': '.py',
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# Often used as a generic, extension might be in filename
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'application/octet-stream': ''
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}
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# Get the main type/subtype part
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main_type = content_type.split(';')[0].strip().lower()
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return mime_to_ext.get(main_type)
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def get_task_file_path(task_id: str, local_files_dir: str = DEFAULT_FILES_DIR) -> str | None:
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"""
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Checks for a local file starting with task_id in the specified directory.
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If not found, attempts to download it from the standard API.
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Returns the full absolute path to the file if found or successfully downloaded, otherwise None.
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Prints progress and errors to stdout.
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"""
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os.makedirs(local_files_dir, exist_ok=True)
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# 1. Check for existing local file whose name starts with the task_id
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try:
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for filename in os.listdir(local_files_dir):
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if filename.startswith(task_id):
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full_path = os.path.abspath(
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os.path.join(local_files_dir, filename))
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print(
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f"FileHandler: Found existing local file for task {task_id}: {full_path}")
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return full_path
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except OSError as e:
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print(
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f"FileHandler: Notice - Error listing files in {local_files_dir} (will attempt download): {e}")
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# 2. If not found locally, attempt to download
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file_api_url = f"{FILE_API_BASE_URL}{task_id}"
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print(
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f"FileHandler: Local file for task {task_id} not found. Attempting download from: {file_api_url}")
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try:
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with requests.Session() as session:
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# Increased timeout slightly
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response = session.get(
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file_api_url, timeout=15, allow_redirects=True)
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if response.status_code == 200:
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if not response.content: # Check if the content is empty
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print(
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f"FileHandler: File indicated for task {task_id} but server sent no content (empty file). Not saving.")
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return None
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cd_header = response.headers.get('Content-Disposition')
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original_filename = _extract_filename_from_cd(cd_header)
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# Determine a sane filename
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if original_filename:
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sane_filename_base = os.path.basename(original_filename)
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else: # Fallback if no Content-Disposition filename
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content_type = response.headers.get('Content-Type')
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extension = _get_extension_from_content_type(
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content_type) or ''
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# Default name if no CD
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sane_filename_base = f"{task_id}_downloaded{extension}"
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print(
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f"FileHandler: No filename in Content-Disposition for {task_id}. Using fallback: {sane_filename_base}")
|
| 107 |
+
|
| 108 |
+
# Ensure the filename starts with task_id for consistent local finding later
|
| 109 |
+
if not sane_filename_base.startswith(task_id):
|
| 110 |
+
sane_filename = f"{task_id}_{sane_filename_base}"
|
| 111 |
+
else:
|
| 112 |
+
sane_filename = sane_filename_base
|
| 113 |
+
|
| 114 |
+
file_path = os.path.join(local_files_dir, sane_filename)
|
| 115 |
+
|
| 116 |
+
with open(file_path, 'wb') as f:
|
| 117 |
+
f.write(response.content)
|
| 118 |
+
|
| 119 |
+
abs_path = os.path.abspath(file_path)
|
| 120 |
+
print(
|
| 121 |
+
f"FileHandler: File '{sane_filename}' for task {task_id} downloaded to '{abs_path}'. Size: {len(response.content)} bytes.")
|
| 122 |
+
return abs_path
|
| 123 |
+
|
| 124 |
+
elif response.status_code == 404:
|
| 125 |
+
print(
|
| 126 |
+
f"FileHandler: No file found for task_id {task_id} at API (HTTP 404 Not Found).")
|
| 127 |
+
return None
|
| 128 |
+
else:
|
| 129 |
+
print(
|
| 130 |
+
f"FileHandler: Failed to download file for task {task_id}. Server responded with HTTP status {response.status_code}.")
|
| 131 |
+
return None
|
| 132 |
+
|
| 133 |
+
except requests.exceptions.Timeout:
|
| 134 |
+
print(
|
| 135 |
+
f"FileHandler: Request timed out while trying to download file for task ID '{task_id}'.")
|
| 136 |
+
return None
|
| 137 |
+
except requests.exceptions.RequestException as e:
|
| 138 |
+
print(
|
| 139 |
+
f"FileHandler: An error occurred during file download for task ID '{task_id}': {type(e).__name__} - {e}.")
|
| 140 |
+
return None
|
| 141 |
+
except IOError as e: # Catch errors during file writing
|
| 142 |
+
print(
|
| 143 |
+
f"FileHandler: An IO error occurred while saving the file for task ID '{task_id}': {e}")
|
| 144 |
+
return None
|