Adds more comments to the code.

[Snorkell.ai] Please review the generated documentation
This commit is contained in:
Daniel Miessler 2024-02-08 11:01:27 -08:00 committed by GitHub
commit 5a7d3dc6ec
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3 changed files with 217 additions and 0 deletions

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@ -14,6 +14,21 @@ env_file = os.path.join(config_directory, ".env")
class Standalone:
def __init__(self, args, pattern="", env_file="~/.config/fabric/.env"):
""" Initialize the class with the provided arguments and environment file.
Args:
args: The arguments for initialization.
pattern: The pattern to be used (default is an empty string).
env_file: The path to the environment file (default is "~/.config/fabric/.env").
Returns:
None
Raises:
KeyError: If the "OPENAI_API_KEY" is not found in the environment variables.
FileNotFoundError: If no API key is found in the environment variables.
"""
# Expand the tilde to the full path
env_file = os.path.expanduser(env_file)
load_dotenv(env_file)
@ -32,6 +47,18 @@ class Standalone:
self.args = args
def streamMessage(self, input_data: str):
""" Stream a message and handle exceptions.
Args:
input_data (str): The input data for the message.
Returns:
None: If the pattern is not found.
Raises:
FileNotFoundError: If the pattern file is not found.
"""
wisdomFilePath = os.path.join(
config_directory, f"patterns/{self.pattern}/system.md"
)
@ -80,6 +107,18 @@ class Standalone:
f.write(buffer)
def sendMessage(self, input_data: str):
""" Send a message using the input data and generate a response.
Args:
input_data (str): The input data to be sent as a message.
Returns:
None
Raises:
FileNotFoundError: If the specified pattern file is not found.
"""
wisdomFilePath = os.path.join(
config_directory, f"patterns/{self.pattern}/system.md"
)
@ -118,6 +157,15 @@ class Standalone:
class Update:
def __init__(self):
""" Initialize the object with default values and update patterns.
This method initializes the object with default values for root_api_url, config_directory, and pattern_directory.
It then creates the pattern_directory if it does not exist and calls the update_patterns method to update the patterns.
Raises:
OSError: If there is an issue creating the pattern_directory.
"""
self.root_api_url = "https://api.github.com/repos/danielmiessler/fabric/contents/patterns?ref=main"
self.config_directory = os.path.expanduser("~/.config/fabric")
self.pattern_directory = os.path.join(self.config_directory, "patterns")
@ -125,6 +173,12 @@ class Update:
self.update_patterns() # Call the update process from a method.
def update_patterns(self):
""" Update the patterns by downloading from the GitHub directory.
Raises:
HTTPError: If there is an HTTP error while downloading patterns.
"""
try:
self.progress_bar = tqdm(desc="Downloading Patterns…", unit="file")
self.get_github_directory_contents(
@ -145,6 +199,16 @@ class Update:
sys.exit() # Exit after handling the error.
def download_file(self, url, local_path):
""" Download a file from the given URL and save it to the local path.
Args:
url (str): The URL of the file to be downloaded.
local_path (str): The local path where the file will be saved.
Raises:
HTTPError: If an HTTP error occurs during the download process.
"""
try:
response = requests.get(url)
response.raise_for_status()
@ -156,6 +220,19 @@ class Update:
sys.exit()
def process_item(self, item, local_dir):
""" Process the given item and save it to the local directory.
Args:
item (dict): The item to be processed, containing information about the type, download URL, name, and URL.
local_dir (str): The local directory where the item will be saved.
Returns:
None
Raises:
OSError: If there is an issue creating the new directory using os.makedirs.
"""
if item["type"] == "file":
self.download_file(
item["download_url"], os.path.join(local_dir, item["name"])
@ -166,6 +243,22 @@ class Update:
self.get_github_directory_contents(item["url"], new_dir)
def get_github_directory_contents(self, api_url, local_dir):
""" Get the contents of a directory from GitHub API and process each item.
Args:
api_url (str): The URL of the GitHub API endpoint for the directory.
local_dir (str): The local directory where the contents will be processed.
Returns:
None
Raises:
HTTPError: If an HTTP error occurs while fetching the directory contents.
If the status code is 403, it prints a message about GitHub API rate limit exceeded
and closes the progress bar. For any other status code, it prints a message
about failing to fetch directory contents due to an HTTP error.
"""
try:
response = requests.get(api_url)
response.raise_for_status()
@ -184,22 +277,54 @@ class Update:
class Setup:
def __init__(self):
""" Initialize the object.
Raises:
OSError: If there is an error in creating the pattern directory.
"""
self.config_directory = os.path.expanduser("~/.config/fabric")
self.pattern_directory = os.path.join(self.config_directory, "patterns")
os.makedirs(self.pattern_directory, exist_ok=True)
self.env_file = os.path.join(self.config_directory, ".env")
def api_key(self, api_key):
""" Set the OpenAI API key in the environment file.
Args:
api_key (str): The API key to be set.
Returns:
None
Raises:
OSError: If the environment file does not exist or cannot be accessed.
"""
if not os.path.exists(self.env_file):
with open(self.env_file, "w") as f:
f.write(f"OPENAI_API_KEY={api_key}")
print(f"OpenAI API key set to {api_key}")
def patterns(self):
""" Method to update patterns and exit the system.
Returns:
None
"""
Update()
sys.exit()
def run(self):
""" Execute the Fabric program.
This method prompts the user for their OpenAI API key, sets the API key in the Fabric object, and then calls the patterns method.
Returns:
None
"""
print("Welcome to Fabric. Let's get started.")
apikey = input("Please enter your OpenAI API key\n")
self.api_key(apikey.strip())

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@ -41,8 +41,32 @@ with open("fabric_api_keys.json", "r") as tokens_file:
# The function to check if the token is valid
def auth_required(f):
""" Decorator function to check if the token is valid.
Args:
f: The function to be decorated
Returns:
The decorated function
"""
@wraps(f)
def decorated_function(*args, **kwargs):
""" Decorated function to handle authentication token and API endpoint.
Args:
*args: Variable length argument list.
**kwargs: Arbitrary keyword arguments.
Returns:
Result of the decorated function.
Raises:
KeyError: If 'Authorization' header is not found in the request.
TypeError: If 'Authorization' header value is not a string.
ValueError: If the authentication token is invalid or expired.
"""
# Get the authentication token from request header
auth_token = request.headers.get("Authorization", "")
@ -65,6 +89,16 @@ def auth_required(f):
# Check for a valid token/user for the given route
def check_auth_token(token, route):
""" Check if the provided token is valid for the given route and return the corresponding user.
Args:
token (str): The token to be checked for validity.
route (str): The route for which the token validity is to be checked.
Returns:
str: The user corresponding to the provided token and route if valid, otherwise returns "Unauthorized: You are not authorized for this API".
"""
# Check if token is valid for the given route and return corresponding user
if route in valid_tokens and token in valid_tokens[route]:
return valid_tokens[route][token]
@ -78,11 +112,32 @@ ALLOWLIST_PATTERN = re.compile(r"^[a-zA-Z0-9\s.,;:!?\-]+$")
# Sanitize the content, sort of. Prompt injection is the main threat so this isn't a huge deal
def sanitize_content(content):
""" Sanitize the content by removing characters that do not match the ALLOWLIST_PATTERN.
Args:
content (str): The content to be sanitized.
Returns:
str: The sanitized content.
"""
return "".join(char for char in content if ALLOWLIST_PATTERN.match(char))
# Pull the URL content's from the GitHub repo
def fetch_content_from_url(url):
""" Fetches content from the given URL.
Args:
url (str): The URL from which to fetch content.
Returns:
str: The sanitized content fetched from the URL.
Raises:
requests.RequestException: If an error occurs while making the request to the URL.
"""
try:
response = requests.get(url)
response.raise_for_status()
@ -99,6 +154,15 @@ def fetch_content_from_url(url):
@app.route("/extwis", methods=["POST"])
@auth_required # Require authentication
def extwis():
""" Extract wisdom from user input using OpenAI's GPT-4 model.
Returns:
JSON: A JSON response containing the generated response or an error message.
Raises:
Exception: If there is an error during the API call.
"""
data = request.get_json()
# Warn if there's no input

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@ -16,6 +16,19 @@ import os
def send_request(prompt, endpoint):
""" Send a request to the specified endpoint of an HTTP-only server.
Args:
prompt (str): The input prompt for the request.
endpoint (str): The endpoint to which the request will be sent.
Returns:
str: The response from the server.
Raises:
KeyError: If the response JSON does not contain the expected "response" key.
"""
base_url = "http://127.0.0.1:13337"
url = f"{base_url}{endpoint}"
headers = {
@ -37,6 +50,15 @@ app.secret_key = "your_secret_key"
@app.route("/favicon.ico")
def favicon():
""" Send the favicon.ico file from the static directory.
Returns:
Response object with the favicon.ico file
Raises:
-
"""
return send_from_directory(
os.path.join(app.root_path, "static"),
"favicon.ico",
@ -46,6 +68,12 @@ def favicon():
@app.route("/", methods=["GET", "POST"])
def index():
""" Process the POST request and send a request to the specified API endpoint.
Returns:
str: The rendered HTML template with the response data.
"""
if request.method == "POST":
prompt = request.form.get("prompt")
endpoint = request.form.get("api")