2024 07 07 python script adapting oswalk for recursive directory traversal assistance - bizkite-co/handterm GitHub Wiki

original file name: Codeium Chat - IFFx3SdooK7Ejvef9SBpvOHyAHHaqIPp.md summary: The user initially asked about modifying a Python script to make it recurse through subdirectories using os.walk() instead of os.listdir(). They provided a snippet of their script and received guidance on how to adapt it for recursive directory traversal.

Later on, the user shared a more extensive Python script aimed at summarizing chat contents and renaming files based on the summaries. They sought help to ensure the script correctly processed files in subdirectories and saved the output files back into the original directories.

Codeium provided an updated snippet incorporating os.walk() for recursion and handling file operations within their respective directories. The user encountered an issue where the script was hanging at the os.walk(path) line without proceeding further. Codeium offered troubleshooting suggestions, including verifying the path, checking permissions, testing with a simple directory, and running without the debugger.

The chat concluded with recommendations on diagnosing and resolving the issue to ensure the script could successfully traverse directories using os.walk(). date: 2024-07-07T11:13

Codeium Chat Conversation

Note: This is purely the output of the chat conversation and does not contain any raw data, codebase snippets, etc. used to generate the output.

User at 11:13 am, Jul 7, 2024

I have a Python script with a os.listdir() that starts like this:

# Loop through each file in the directory
for filename in os.listdir(directory):
  if filename.startswith("Codeium Chat - ") and filename.endswith(".md"): # assuming the files are Markdown
    filepath = os.path.join(directory, filename)

How do I make it recurse through subdirectories too?

Codeium at 11:14 am, Jul 7, 2024

To modify your script to recursively search through subdirectories for files that match your criteria, you can use the os.walk() function instead of os.listdir(). The os.walk() function generates the file names in a directory tree by walking either top-down or bottom-up. For each directory in the tree rooted at the directory top (including top itself), it yields a 3-tuple (dirpath, dirnames, filenames).

Here's how you can adapt your current script to use os.walk() to recurse through subdirectories:

import os

# Define the directory containing the chat files
directory = path  # Assuming 'path' is defined earlier as the root directory to start searching from

# Loop through each directory in the directory tree
for dirpath, dirnames, filenames in os.walk(directory):
    for filename in filenames:
        if filename.startswith("Codeium Chat - ") and filename.endswith(".md"):  # assuming the files are Markdown
            filepath = os.path.join(dirpath, filename)
            # Now you can work with the file at 'filepath'

This snippet will search every subdirectory of directory for Markdown files that start with "Codeium Chat - " and end with ".md", setting filepath to the full path of each matching file found. You can then add your file processing logic where the comment suggests.

User at 11:16 am, Jul 7, 2024

Ok, so I guess I have to consider the dirpath and dirnames in order to output the result back in to the same directory that the replaced file started in.

How would I do that:

import os
from openai import OpenAI # or another library if you're using a different API
import re
from datetime import datetime, timedelta
import argparse

print(f'Running summarize-chats.py')
# Create the parser
parser = argparse.ArgumentParser(description='Python script to summarise Codeium chats and add a dated title to them')

# Add the named parameter (option)
parser.add_argument('-p', '--path', help='The path to use', required=True)

# Parse the arguments
args = parser.parse_args()

# Access the argument value
path = args.path
print(f'The provided path is: {path}')

# Define the directory containing the chat files
directory = path
client = OpenAI(
  # This is the default and can be omitted
  api_key=os.environ.get("OPENAI_API_KEY"),
)
# Loop through each file in the directory
for filename in os.listdir(directory):
  if filename.startswith("Codeium Chat - ") and filename.endswith(".md"): # assuming the files are Markdown
    filepath = os.path.join(directory, filename)
    file_modification_datetime = os.path.getmtime(filepath)
    file_creation_datetime_obj = datetime.fromtimestamp(os.path.getctime(filepath))
    # If the file was modified within the last 24 hours, skip it
    # if datetime.now() - file_creation_datetime_obj < timedelta(days=1):
    #   continue

    # Read the content of the file
    with open(filepath, "r", encoding="utf-8") as file:
      content = file.read()

    # Look for the first occurrence of the pattern matching `**User** _at 10:18 am, Apr 24, 2024_` and convert it to a datetime object
    datetime_pattern = r"\d{1,2}:\d{2} [ap]m, [A-Z][a-z]{2} \d{1,2}, \d{4}"
    date_format = "%I:%M %p, %b %d, %Y"
    date_str = re.search(datetime_pattern, content)
    if date_str:
      date_str = date_str.group(0)
      # Parse the datetime string into a datetime object
      date_obj = datetime.strptime(date_str, date_format)

    # Parse the content into smaller pieces if needed
    # For example:
    # chat_contents = re.split(r'some_pattern', content)
    # Define a safe character limit, for example:
    safe_char_limit = 16_000 # Adjust this limit based on observations

    # Truncate the content if it's too long
    truncated_content = content if len(content) <= safe_char_limit else content[:safe_char_limit]

    # Now use `truncated_content` instead of `content` when sending to the API

    # Obtain a summary from the API
    # You will need to set up the API and provide the necessary keys and configuration
    response = client.chat.completions.create(
      model="gpt-3.5-turbo",
      messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Summarize this chat:"},
        {"role": "assistant", "content": truncated_content}, # Your chat content here
      ],
    )

    summary = response.choices[0].message.content

    response = client.chat.completions.create(
      model="gpt-3.5-turbo",
      messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {
          "role": "user",
          "content": "Create a tl;dr title describing the contents of the chat with no puctuation of ten words or less for this chat:",
        },
        {"role": "assistant", "content": summary}, # Your chat content here
      ],
    )

    title = response.choices[0].message.content

    # create a timecode in the format YYYY-MM-DD from the date_obj or the file_creation_datetime_obj
    date_code = (
      date_obj.strftime("%Y-%m-%d")
      if date_obj
      else file_creation_datetime_obj.strftime("%Y-%m-%d")
    )
    # Write the original file name and the summary to the top of the file
    new_content = (
      "---\n"
      "original file name: " + filename + "\n"
      "summary: " + summary + "\n"
      "date: " + date_obj.strftime("%Y-%m-%dT%H:%M") + "\n"
      "---\n\n" + content
    )
    with open(filepath, "w", encoding="utf-8") as file:
      file.write(new_content)

    # Rename the file with datetime formatted to YYYY-MM-DD and lowercase title with spaces replaced with hyphens
    title = title.lower().replace(' ', '-').replace('_', '-')
    title_replace_pattern = r"[^\w\-]"
    title = re.sub(title_replace_pattern, "", title)
    new_filename = date_code + "-" + title + ".md"
    print(f"Renaming {filename} to {new_filename}")
    os.rename(filepath, os.path.join(directory, new_filename))


# Replace 'openai.Completion.create' with the corresponding function call
# if you are using Langchain or a different API.

Codeium at 11:16 am, Jul 7, 2024

To adapt your Python script to recursively process files in subdirectories while ensuring output files are saved back into their original directories, you can modify it to use os.walk() for recursion, as previously discussed. Additionally, you should adjust the file handling to consider dirpath for both reading and writing files.

Here's an updated snippet incorporating os.walk() and handling files within their respective directories:

import os
import re
from datetime import datetime, timedelta
import argparse
from openai import OpenAIClient  # Assuming you have a class or method for interacting with OpenAI

print(f'Running summarize-chats.py')
# Create the parser
parser = argparse.ArgumentParser(description='Python script to summarise Codeium chats and add a dated title to them')
# Add the named parameter (option)
parser.add_argument('-p', '--path', help='The path to use', required=True)
# Parse the arguments
args = parser.parse_args()

# Access the argument value
path = args.path
print(f'The provided path is: {path}')

# Define the OpenAI client
client = OpenAIClient(api_key=os.environ.get("OPENAI_API_KEY"))

# Loop through each file in the directory tree
for dirpath, dirnames, filenames in os.walk(path):
    for filename in filenames:
        if filename.startswith("Codeium Chat - ") and filename.endswith(".md"):  # assuming the files are Markdown
            filepath = os.path.join(dirpath, filename)
            file_modification_datetime = os.path.getmtime(filepath)
            file_creation_datetime_obj = datetime.fromtimestamp(os.path.getctime(filepath))

            with open(filepath, "r", encoding="utf-8") as file:
                content = file.read()

            # Assuming the remainder of your file processing logic goes here
            # Including API calls to OpenAI, content summarization, etc.

            # When saving the modified content and renaming the file:
            new_content = "..."  # Your new content
            new_filename = "new-file-name.md"  # Your new file name logic

            # Write the modified content back to the original directory
            with open(os.path.join(dirpath, new_filename), "w", encoding="utf-8") as file:
                file.write(new_content)

            print(f"Processed {filename} in {dirpath}")

# Note: Ensure you replace the placeholders ("..." and logic for 'new_filename')
# with your actual content processing and filename generation logic.

Key changes and considerations:

  • The script now uses os.walk() to explore directories recursively.
  • dirpath from os.walk() is used to maintain the correct directory path for both reading the original file and writing the modified file or saving a new file.
  • Ensure that the file processing logic (e.g., OpenAI API calls, content summarization) correctly handles the content from each file.
  • The new_filename should be generated based on your existing logic, ensuring it's written back to the correct directory using dirpath.
  • This script is simplified for clarity. Remember to include error handling, especially for file operations and API calls.

User at 11:41 am, Jul 7, 2024

It seems to error out or return nothing on this line. When I'm in debug mode with a breakpoint on the next line, it never hits the breakpoint.

for dirpath, dirnames, filenames in os.walk(path):

Codeium at 11:42 am, Jul 7, 2024

If your script does not proceed beyond the os.walk(path) line or seems to hang without producing any errors, there could be a few reasons to consider:

  1. Invalid Path: Ensure the path variable contains a valid directory path. If path is incorrect or points to a non-existent directory, os.walk() won't be able to iterate through the directory tree. Verify the path passed through the -p argument is correct.

  2. Large Directory Structure: If the directory pointed to by path contains a very large number of files or deeply nested subdirectories, os.walk() might take a significant amount of time to start yielding results. Check if the directory structure is exceptionally large.

  3. Permissions Issue: The script might lack the necessary permissions to access path or some of its subdirectories. This could silently prevent os.walk() from iterating over the directories. Ensure the script has read access to the entire directory tree it's supposed to traverse.

  4. Debugger Issue: There might be an issue with the debugger setup itself. Try running the script outside the debugger (e.g., directly from a terminal or command prompt) with some print statements added before and inside the loop to confirm if the issue is with the debugger.

To diagnose and potentially fix the issue, consider the following steps:

  • Verify the Path: Add a print statement before the loop to ensure the path variable contains what you expect.

    print(f"Searching in path: {path}")

  • Test with a Simple Directory: Temporarily modify path to point to a small, known directory (e.g., a directory with a few files and no subdirectories) to see if the issue persists. This can help determine if the problem is related to the specific directory structure or contents.

    path = "C:/path/to/simple/directory"  # Temporarily hardcode to a simple path for testing

  • Check Permissions: Verify that the user running the script has the necessary permissions to access the directory and all its subdirectories.

  • Run Without Debugger: Try running the script without the debugger to see if the issue is related to the debugging environment. Use print statements or logging to observe the script's behavior.

If these steps do not resolve the issue, consider isolating the problem further by creating a minimal, complete, and verifiable example (MCVE) that reproduces the issue. This can help identify whether the problem lies with the specific environment, the Python installation, or the script itself.

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