open-webui/backend/open_webui/utils/misc.py
Tim Jaeryang Baek 8d7d79d54b
0.6.33 (#18118)
* feat: improve ollama model management experience

This commit introduces several improvements to the Ollama model management modal:

- Adds a cancel button to the model pulling operation, using the existing 'x' button pattern.
- Adds a cancel button to the "Update All" models operation, allowing the user to cancel the update for the currently processing model.
- Cleans up toast notifications when updating all models. A single toast is now shown at the beginning and a summary toast at the end, preventing notification spam.
- Refactors the `ManageOllama.svelte` component to support these new cancellation features.
- Adds tooltips to all buttons in the modal to improve clarity.
- Disables buttons when their corresponding input fields are empty to prevent accidental clicks.

* fix

* i18n: improve Chinese translation

* fix: handle non‑UTF8 chars in third‑party responses without error

* German translation of new strings in i18n

* log web search queries only with level 'debug' instead of 'info'

* Tool calls now only include text and dont inlcude other content like image b64

* fix onedrive

* fix: discovery url

* fix: default permissions not being loaded

* fix: ai hallucination

* fix: non rich text input copy

* refac: rm print statements

* refac: disable direct models from model editors

* refac/fix: do not process xlsx files with azure doc intelligence

* Update pull_request_template.md

* Update generated image translation in DE-de

* added missing danish translations

* feat(onedrive): Enable search and "My Organization" pivot

* style(onedrive): Formatting fix

* feat: Implement toggling for vertical and horizontal flow layouts

This commit introduces the necessary logic and UI controls to allow users to switch the Flow component layout between vertical and horizontal orientations.

*   **`Flow.svelte` Refactoring:**
    *   Updates logic for calculating level offsets and node positions to consistently respect the current flow orientation.
    *   Adds a control panel using `<Controls>` and `<SwitchButton>` components.
    *   Provides user interface elements to easily switch the flow layout between horizontal and vertical orientations.

* build(deps): bump pydantic from 2.11.7 to 2.11.9 in /backend

Bumps [pydantic](https://github.com/pydantic/pydantic) from 2.11.7 to 2.11.9.
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/v2.11.9/HISTORY.md)
- [Commits](https://github.com/pydantic/pydantic/compare/v2.11.7...v2.11.9)

---
updated-dependencies:
- dependency-name: pydantic
  dependency-version: 2.11.9
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>

* build(deps): bump black from 25.1.0 to 25.9.0 in /backend

Bumps [black](https://github.com/psf/black) from 25.1.0 to 25.9.0.
- [Release notes](https://github.com/psf/black/releases)
- [Changelog](https://github.com/psf/black/blob/main/CHANGES.md)
- [Commits](https://github.com/psf/black/compare/25.1.0...25.9.0)

---
updated-dependencies:
- dependency-name: black
  dependency-version: 25.9.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

* build(deps): bump markdown from 3.8.2 to 3.9 in /backend

Bumps [markdown](https://github.com/Python-Markdown/markdown) from 3.8.2 to 3.9.
- [Release notes](https://github.com/Python-Markdown/markdown/releases)
- [Changelog](https://github.com/Python-Markdown/markdown/blob/master/docs/changelog.md)
- [Commits](https://github.com/Python-Markdown/markdown/compare/3.8.2...3.9.0)

---
updated-dependencies:
- dependency-name: markdown
  dependency-version: '3.9'
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

* build(deps): bump chromadb from 1.0.20 to 1.1.0 in /backend

Bumps [chromadb](https://github.com/chroma-core/chroma) from 1.0.20 to 1.1.0.
- [Release notes](https://github.com/chroma-core/chroma/releases)
- [Changelog](https://github.com/chroma-core/chroma/blob/main/RELEASE_PROCESS.md)
- [Commits](https://github.com/chroma-core/chroma/compare/1.0.20...1.1.0)

---
updated-dependencies:
- dependency-name: chromadb
  dependency-version: 1.1.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

* build(deps): bump opentelemetry-api from 1.36.0 to 1.37.0

Bumps [opentelemetry-api](https://github.com/open-telemetry/opentelemetry-python) from 1.36.0 to 1.37.0.
- [Release notes](https://github.com/open-telemetry/opentelemetry-python/releases)
- [Changelog](https://github.com/open-telemetry/opentelemetry-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/open-telemetry/opentelemetry-python/compare/v1.36.0...v1.37.0)

---
updated-dependencies:
- dependency-name: opentelemetry-api
  dependency-version: 1.37.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

* refac: ollama embed form data

* fix: non rich text handling

* fix: oauth client registration

* refac

* chore: dep bump

* chore: fastapi bump

* chore/refac: bump bcrypt and remove passlib

* Improving Korean Translation

* refac

* Improving Korean Translation

* feat: PWA share_target implementation

Co-Authored-By: gjveld <19951982+gjveld@users.noreply.github.com>

* refac: message input mobile detection behaviour

* feat: model_ids per folder

* Update translation.json (pt-BR)

inclusion of new translations of items that have been added

* refac

* refac

* refac

* refac

* refac/fix: temp chat

* refac

* refac: stop task

* refac/fix: azure audio escape

* refac: external tool validation

* refac/enh: start.sh additional args support

* refac

* refac: styling

* refac/fix: direct connection floating action buttons

* refac/fix: system prompt duplication

* refac/enh: openai tts additional params support

* refac

* feat: load data in parallel to accelerate page loading speed

* i18n: improve Chinese translation

* refac

* refac: model selector

* UPD: i18n es-ES Translation v0.6.33

UPD: i18n es-ES Translation v0.6.33

Updated new strings.

* refac

* improved query pref by querying only relevant columns

* refac/enh: docling params

* refac

* refac: openai additional headers support

* refac

* FEAT: Add Vega Char Visualizer Renderer

### FEAT: Add Vega Char Visualizer Renderer

Feature required in https://github.com/open-webui/open-webui/discussions/18022

Added npm vega lib to package.json
Added function for visualization renderer to src/libs/utils/index.ts
Added logic to src/lib/components/chat/Messages/CodeBlock.svelte

The treatment is similar as for mermaid diagrams.

Reference: https://vega.github.io/vega/

* refac

* chore

* refac

* FEAT: Add Vega-Lite Char Visualizer Renderer

### FEAT: Add Vega Char Visualizer Renderer

Add suport for Vega-Lite Specifications.
Vega-Lite is a "compiled" version of Vega Char Visualizer.
For be rendered with Vega it have to be compiled.
This PR add the check and compile if necessary, is a complement of recent Vega Renderer Feature added.

* refac

* refac/fix: switch

* enh/refac: url input handling

* refac

* refac: styling

* UPD: Add Validators & Error Toast for Mermaid & Vega diagrams

### UPD: Feat:  Add Validators & Error Toast for Mermaid & Vega diagrams

Description:
As many time the diagrams generated or entered have syntax errors the diagrams are not rendered due to that errors, but as there isn't any notification is difficult to know what happend.

This PR add validator and toast notification when error on Mermaid and Vega/Vega-Lite diagrams, helping the user to fix its.

* removed redundant knowledge API call

* Fix Code Format

* refac: model workspace view

* refac

* refac: knowledge

* refac: prompts

* refac: tools

* refac

* feat: attach folder

* refac: make tencentcloud-sdk-python optional

* refac/fix: oauth

* enh: ENABLE_OAUTH_EMAIL_FALLBACK

* refac/fix: folders

* Update requirements.txt

* Update pyproject.toml

* UPD: Add Validators & Error Toast for Mermaid & Vega diagrams

### UPD: Feat:  Add Validators & Error Toast for Mermaid & Vega diagrams

Description:
As many time the diagrams generated or entered have syntax errors the diagrams are not rendered due to that errors, but as there isn't any notification is difficult to know what happend.

This PR add validator and toast notification when error on Mermaid and Vega/Vega-Lite diagrams, helping the user to fix its.

Note:
Another possibility of integrating this Graph Visualizer is through its svelte component: https://github.com/vega/svelte-vega/tree/main/packages/svelte-vega

* Removed unused toast import & Code Format

* refac

* refac: external tool server view

* refac

* refac: overview

* refac: styling

* refac

* Update bug_report.yaml

* refac

* refac

* refac

* refac

* refac: oauth client fallback

* Fixed: Cannot handle batch sizes > 1 if no padding token is defined

Fixes Cannot handle batch sizes > 1 if no padding token is defined

For reranker models that do not have this defined in their config by using the eos_token_id if present as pad_token_id.

* refac: fallback to reasoning content

* fix(i18n): corrected typo in Spanish translation for "Reasoning Tags"

Typo fixed in Spanish translation file at line 1240 of `open-webui/src/lib/i18n/locales/es-ES/translation.json`:

- Incorrect: "Eriquetas de Razonamiento"
- Correct:   "Etiquetas de Razonamiento"

This improves clarity and consistency in the UI.

* refac/fix: ENABLE_STAR_SESSIONS_MIDDLEWARE

* refac/fix: redirect

* refac

* refac

* refac

* refac: web search error handling

* refac: source parsing

* refac: functions

* refac

* refac/enh: note pdf export

* refac/fix: mcp oauth2.1

* chore: format

* chore: Changelog (#17995)

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

* refac

* chore: dep bump

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: silentoplayz <jacwoo21@outlook.com>
Co-authored-by: Shirasawa <764798966@qq.com>
Co-authored-by: Jan Kessler <jakessle@uni-mainz.de>
Co-authored-by: Jacob Leksan <jacob.leksan@expedient.com>
Co-authored-by: Classic298 <27028174+Classic298@users.noreply.github.com>
Co-authored-by: sinejespersen <sinejespersen@protonmail.com>
Co-authored-by: Selene Blok <selene.blok@rws.nl>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Cyp <cypher9715@naver.com>
Co-authored-by: gjveld <19951982+gjveld@users.noreply.github.com>
Co-authored-by: joaoback <156559121+joaoback@users.noreply.github.com>
Co-authored-by: _00_ <131402327+rgaricano@users.noreply.github.com>
Co-authored-by: expruc <eygabi01@gmail.com>
Co-authored-by: YetheSamartaka <55753928+YetheSamartaka@users.noreply.github.com>
Co-authored-by: Akutangulo <akutangulo@gmail.com>
2025-10-07 16:20:27 -05:00

541 lines
16 KiB
Python

import hashlib
import re
import threading
import time
import uuid
import logging
from datetime import timedelta
from pathlib import Path
from typing import Callable, Optional
import json
import collections.abc
from open_webui.env import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["MAIN"])
def deep_update(d, u):
for k, v in u.items():
if isinstance(v, collections.abc.Mapping):
d[k] = deep_update(d.get(k, {}), v)
else:
d[k] = v
return d
def get_message_list(messages_map, message_id):
"""
Reconstructs a list of messages in order up to the specified message_id.
:param message_id: ID of the message to reconstruct the chain
:param messages: Message history dict containing all messages
:return: List of ordered messages starting from the root to the given message
"""
# Handle case where messages is None
if not messages_map:
return [] # Return empty list instead of None to prevent iteration errors
# Find the message by its id
current_message = messages_map.get(message_id)
if not current_message:
return [] # Return empty list instead of None to prevent iteration errors
# Reconstruct the chain by following the parentId links
message_list = []
while current_message:
message_list.insert(
0, current_message
) # Insert the message at the beginning of the list
parent_id = current_message.get("parentId") # Use .get() for safety
current_message = messages_map.get(parent_id) if parent_id else None
return message_list
def get_messages_content(messages: list[dict]) -> str:
return "\n".join(
[
f"{message['role'].upper()}: {get_content_from_message(message)}"
for message in messages
]
)
def get_last_user_message_item(messages: list[dict]) -> Optional[dict]:
for message in reversed(messages):
if message["role"] == "user":
return message
return None
def get_content_from_message(message: dict) -> Optional[str]:
if isinstance(message.get("content"), list):
for item in message["content"]:
if item["type"] == "text":
return item["text"]
else:
return message.get("content")
return None
def get_last_user_message(messages: list[dict]) -> Optional[str]:
message = get_last_user_message_item(messages)
if message is None:
return None
return get_content_from_message(message)
def get_last_assistant_message_item(messages: list[dict]) -> Optional[dict]:
for message in reversed(messages):
if message["role"] == "assistant":
return message
return None
def get_last_assistant_message(messages: list[dict]) -> Optional[str]:
for message in reversed(messages):
if message["role"] == "assistant":
return get_content_from_message(message)
return None
def get_system_message(messages: list[dict]) -> Optional[dict]:
for message in messages:
if message["role"] == "system":
return message
return None
def remove_system_message(messages: list[dict]) -> list[dict]:
return [message for message in messages if message["role"] != "system"]
def pop_system_message(messages: list[dict]) -> tuple[Optional[dict], list[dict]]:
return get_system_message(messages), remove_system_message(messages)
def update_message_content(message: dict, content: str, append: bool = True) -> dict:
if isinstance(message["content"], list):
for item in message["content"]:
if item["type"] == "text":
if append:
item["text"] = f"{item['text']}\n{content}"
else:
item["text"] = f"{content}\n{item['text']}"
else:
if append:
message["content"] = f"{message['content']}\n{content}"
else:
message["content"] = f"{content}\n{message['content']}"
return message
def replace_system_message_content(content: str, messages: list[dict]) -> dict:
for message in messages:
if message["role"] == "system":
message["content"] = content
break
return messages
def add_or_update_system_message(
content: str, messages: list[dict], append: bool = False
):
"""
Adds a new system message at the beginning of the messages list
or updates the existing system message at the beginning.
:param msg: The message to be added or appended.
:param messages: The list of message dictionaries.
:return: The updated list of message dictionaries.
"""
if messages and messages[0].get("role") == "system":
messages[0] = update_message_content(messages[0], content, append)
else:
# Insert at the beginning
messages.insert(0, {"role": "system", "content": content})
return messages
def add_or_update_user_message(content: str, messages: list[dict], append: bool = True):
"""
Adds a new user message at the end of the messages list
or updates the existing user message at the end.
:param msg: The message to be added or appended.
:param messages: The list of message dictionaries.
:return: The updated list of message dictionaries.
"""
if messages and messages[-1].get("role") == "user":
messages[-1] = update_message_content(messages[-1], content, append)
else:
# Insert at the end
messages.append({"role": "user", "content": content})
return messages
def prepend_to_first_user_message_content(
content: str, messages: list[dict]
) -> list[dict]:
for message in messages:
if message["role"] == "user":
message = update_message_content(message, content, append=False)
break
return messages
def append_or_update_assistant_message(content: str, messages: list[dict]):
"""
Adds a new assistant message at the end of the messages list
or updates the existing assistant message at the end.
:param msg: The message to be added or appended.
:param messages: The list of message dictionaries.
:return: The updated list of message dictionaries.
"""
if messages and messages[-1].get("role") == "assistant":
messages[-1]["content"] = f"{messages[-1]['content']}\n{content}"
else:
# Insert at the end
messages.append({"role": "assistant", "content": content})
return messages
def openai_chat_message_template(model: str):
return {
"id": f"{model}-{str(uuid.uuid4())}",
"created": int(time.time()),
"model": model,
"choices": [{"index": 0, "logprobs": None, "finish_reason": None}],
}
def openai_chat_chunk_message_template(
model: str,
content: Optional[str] = None,
reasoning_content: Optional[str] = None,
tool_calls: Optional[list[dict]] = None,
usage: Optional[dict] = None,
) -> dict:
template = openai_chat_message_template(model)
template["object"] = "chat.completion.chunk"
template["choices"][0]["index"] = 0
template["choices"][0]["delta"] = {}
if content:
template["choices"][0]["delta"]["content"] = content
if reasoning_content:
template["choices"][0]["delta"]["reasoning_content"] = reasoning_content
if tool_calls:
template["choices"][0]["delta"]["tool_calls"] = tool_calls
if not content and not reasoning_content and not tool_calls:
template["choices"][0]["finish_reason"] = "stop"
if usage:
template["usage"] = usage
return template
def openai_chat_completion_message_template(
model: str,
message: Optional[str] = None,
reasoning_content: Optional[str] = None,
tool_calls: Optional[list[dict]] = None,
usage: Optional[dict] = None,
) -> dict:
template = openai_chat_message_template(model)
template["object"] = "chat.completion"
if message is not None:
template["choices"][0]["message"] = {
"role": "assistant",
"content": message,
**({"reasoning_content": reasoning_content} if reasoning_content else {}),
**({"tool_calls": tool_calls} if tool_calls else {}),
}
template["choices"][0]["finish_reason"] = "stop"
if usage:
template["usage"] = usage
return template
def get_gravatar_url(email):
# Trim leading and trailing whitespace from
# an email address and force all characters
# to lower case
address = str(email).strip().lower()
# Create a SHA256 hash of the final string
hash_object = hashlib.sha256(address.encode())
hash_hex = hash_object.hexdigest()
# Grab the actual image URL
return f"https://www.gravatar.com/avatar/{hash_hex}?d=mp"
def calculate_sha256(file_path, chunk_size):
# Compute SHA-256 hash of a file efficiently in chunks
sha256 = hashlib.sha256()
with open(file_path, "rb") as f:
while chunk := f.read(chunk_size):
sha256.update(chunk)
return sha256.hexdigest()
def calculate_sha256_string(string):
# Create a new SHA-256 hash object
sha256_hash = hashlib.sha256()
# Update the hash object with the bytes of the input string
sha256_hash.update(string.encode("utf-8"))
# Get the hexadecimal representation of the hash
hashed_string = sha256_hash.hexdigest()
return hashed_string
def validate_email_format(email: str) -> bool:
if email.endswith("@localhost"):
return True
return bool(re.match(r"[^@]+@[^@]+\.[^@]+", email))
def sanitize_filename(file_name):
# Convert to lowercase
lower_case_file_name = file_name.lower()
# Remove special characters using regular expression
sanitized_file_name = re.sub(r"[^\w\s]", "", lower_case_file_name)
# Replace spaces with dashes
final_file_name = re.sub(r"\s+", "-", sanitized_file_name)
return final_file_name
def extract_folders_after_data_docs(path):
# Convert the path to a Path object if it's not already
path = Path(path)
# Extract parts of the path
parts = path.parts
# Find the index of '/data/docs' in the path
try:
index_data_docs = parts.index("data") + 1
index_docs = parts.index("docs", index_data_docs) + 1
except ValueError:
return []
# Exclude the filename and accumulate folder names
tags = []
folders = parts[index_docs:-1]
for idx, _ in enumerate(folders):
tags.append("/".join(folders[: idx + 1]))
return tags
def parse_duration(duration: str) -> Optional[timedelta]:
if duration == "-1" or duration == "0":
return None
# Regular expression to find number and unit pairs
pattern = r"(-?\d+(\.\d+)?)(ms|s|m|h|d|w)"
matches = re.findall(pattern, duration)
if not matches:
raise ValueError("Invalid duration string")
total_duration = timedelta()
for number, _, unit in matches:
number = float(number)
if unit == "ms":
total_duration += timedelta(milliseconds=number)
elif unit == "s":
total_duration += timedelta(seconds=number)
elif unit == "m":
total_duration += timedelta(minutes=number)
elif unit == "h":
total_duration += timedelta(hours=number)
elif unit == "d":
total_duration += timedelta(days=number)
elif unit == "w":
total_duration += timedelta(weeks=number)
return total_duration
def parse_ollama_modelfile(model_text):
parameters_meta = {
"mirostat": int,
"mirostat_eta": float,
"mirostat_tau": float,
"num_ctx": int,
"repeat_last_n": int,
"repeat_penalty": float,
"temperature": float,
"seed": int,
"tfs_z": float,
"num_predict": int,
"top_k": int,
"top_p": float,
"num_keep": int,
"presence_penalty": float,
"frequency_penalty": float,
"num_batch": int,
"num_gpu": int,
"use_mmap": bool,
"use_mlock": bool,
"num_thread": int,
}
data = {"base_model_id": None, "params": {}}
# Parse base model
base_model_match = re.search(
r"^FROM\s+(\w+)", model_text, re.MULTILINE | re.IGNORECASE
)
if base_model_match:
data["base_model_id"] = base_model_match.group(1)
# Parse template
template_match = re.search(
r'TEMPLATE\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
)
if template_match:
data["params"] = {"template": template_match.group(1).strip()}
# Parse stops
stops = re.findall(r'PARAMETER stop "(.*?)"', model_text, re.IGNORECASE)
if stops:
data["params"]["stop"] = stops
# Parse other parameters from the provided list
for param, param_type in parameters_meta.items():
param_match = re.search(rf"PARAMETER {param} (.+)", model_text, re.IGNORECASE)
if param_match:
value = param_match.group(1)
try:
if param_type is int:
value = int(value)
elif param_type is float:
value = float(value)
elif param_type is bool:
value = value.lower() == "true"
except Exception as e:
log.exception(f"Failed to parse parameter {param}: {e}")
continue
data["params"][param] = value
# Parse adapter
adapter_match = re.search(r"ADAPTER (.+)", model_text, re.IGNORECASE)
if adapter_match:
data["params"]["adapter"] = adapter_match.group(1)
# Parse system description
system_desc_match = re.search(
r'SYSTEM\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
)
system_desc_match_single = re.search(
r"SYSTEM\s+([^\n]+)", model_text, re.IGNORECASE
)
if system_desc_match:
data["params"]["system"] = system_desc_match.group(1).strip()
elif system_desc_match_single:
data["params"]["system"] = system_desc_match_single.group(1).strip()
# Parse messages
messages = []
message_matches = re.findall(r"MESSAGE (\w+) (.+)", model_text, re.IGNORECASE)
for role, content in message_matches:
messages.append({"role": role, "content": content})
if messages:
data["params"]["messages"] = messages
return data
def convert_logit_bias_input_to_json(user_input):
logit_bias_pairs = user_input.split(",")
logit_bias_json = {}
for pair in logit_bias_pairs:
token, bias = pair.split(":")
token = str(token.strip())
bias = int(bias.strip())
bias = 100 if bias > 100 else -100 if bias < -100 else bias
logit_bias_json[token] = bias
return json.dumps(logit_bias_json)
def freeze(value):
"""
Freeze a value to make it hashable.
"""
if isinstance(value, dict):
return frozenset((k, freeze(v)) for k, v in value.items())
elif isinstance(value, list):
return tuple(freeze(v) for v in value)
return value
def throttle(interval: float = 10.0):
"""
Decorator to prevent a function from being called more than once within a specified duration.
If the function is called again within the duration, it returns None. To avoid returning
different types, the return type of the function should be Optional[T].
:param interval: Duration in seconds to wait before allowing the function to be called again.
"""
def decorator(func):
last_calls = {}
lock = threading.Lock()
def wrapper(*args, **kwargs):
if interval is None:
return func(*args, **kwargs)
key = (args, freeze(kwargs))
now = time.time()
if now - last_calls.get(key, 0) < interval:
return None
with lock:
if now - last_calls.get(key, 0) < interval:
return None
last_calls[key] = now
return func(*args, **kwargs)
return wrapper
return decorator
def extract_urls(text: str) -> list[str]:
# Regex pattern to match URLs
url_pattern = re.compile(
r"(https?://[^\s]+)", re.IGNORECASE
) # Matches http and https URLs
return url_pattern.findall(text)