autoGPT_func.py

# * write_to_file
# Writes text to a file. If file exists, appends the text at the end. If not, creates a new file.

# * del_file
# Deletes a file.

# * read_file
# Reads a file and returns the content.

# * add_task
# Adds a task to the task file.

# * view_tasks
# Views all the tasks in the task file.

# * task_done
# Deletes a task from the task file.

# * get_google_patent_url
# get fulltext url of a patent from google patents

# * get_google_patent_search_url
# get search url of a patent from google patents

# * get_pubmed_search_url
# get search url of a paper from pubmed

# * get_PMC_full_text_url
# get fulltext url of a paper from pubmed

# * get_PMC_search_url
# get search url of a paper from pubmed

# * read_text_from_file
# read length text from file from a start position

# * read_last_text_from_file
# read length text from file from the end of the file

def write_to_file(file_name, text_content):
    with open(file_name, 'a', encoding='utf-8') as file:
        file.write(text_content + "\n")

def del_file(filename):
    import os
    if os.path.exists(filename):
        os.remove(filename)
        return True
    else:
        print("The file does not exist")
        return False
    
def read_file(filename):
    with open(filename, 'r', encoding='utf-8') as file:
        return file.read()
    
def add_task(task, task_file_name='tasks.txt'):
    write_to_file(task_file_name, task)

def view_tasks(task_file_name='tasks.txt'):
    return read_file(task_file_name)

def task_done(task, task_file_name='tasks.txt'):
    tasks = read_file(task_file_name)
    tasks = tasks.replace(task, '')
    del_file(task_file_name)
    write_to_file(task_file_name, tasks)

def get_google_patent_url(patentID):
    return f"https://patents.google.com/patent/{patentID}"

def get_google_patent_search_url(search_text):
    return f"https://patents.google.com/?q={search_text}"

def get_pubmed_search_url(search_text):
    return f"https://pubmed.ncbi.nlm.nih.gov/?term={search_text}"

def get_PMC_full_text_url(PMCID):
    return f"https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/{PMCID}/"

def get_PMC_search_url(search_text):
    return f"https://www.ncbi.nlm.nih.gov/pmc/?term={search_text}"

def read_text_from_file(filename,start_positon,length):
    with open(filename, 'r', encoding='utf-8') as file:
        file.seek(start_positon)
        return file.read(length)
    
def read_last_text_from_file(filename, length):
    with open(filename, 'r', encoding='utf-8') as file:
        file.seek(-length, 2)
        return file.read(length)