Files
gpt4free/g4f/gui/server/backend_api.py
hlohaus e53483d85b Improve tools support in OpenaiTemplate and GeminiPro
Update models in DDG, PerplexityLabs, Gemini
Fix issues with curl_cffi in new versions
2025-02-21 04:36:54 +01:00

424 lines
18 KiB
Python

from __future__ import annotations
import json
import flask
import os
import logging
import asyncio
import shutil
import random
import datetime
from flask import Flask, Response, request, jsonify, render_template
from typing import Generator
from pathlib import Path
from urllib.parse import quote_plus
from hashlib import sha256
from werkzeug.utils import secure_filename
try:
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
has_flask_limiter = True
except ImportError:
has_flask_limiter = False
from ...image import is_allowed_extension, to_image
from ...client.service import convert_to_provider
from ...providers.asyncio import to_sync_generator
from ...client.helper import filter_markdown
from ...tools.files import supports_filename, get_streaming, get_bucket_dir, get_buckets
from ...tools.run_tools import iter_run_tools
from ...errors import ProviderNotFoundError
from ...cookies import get_cookies_dir
from ... import ChatCompletion
from ... import models
from .api import Api
logger = logging.getLogger(__name__)
def safe_iter_generator(generator: Generator) -> Generator:
start = next(generator)
def iter_generator():
yield start
yield from generator
return iter_generator()
class Backend_Api(Api):
"""
Handles various endpoints in a Flask application for backend operations.
This class provides methods to interact with models, providers, and to handle
various functionalities like conversations, error handling, and version management.
Attributes:
app (Flask): A Flask application instance.
routes (dict): A dictionary mapping API endpoints to their respective handlers.
"""
def __init__(self, app: Flask) -> None:
"""
Initialize the backend API with the given Flask application.
Args:
app (Flask): Flask application instance to attach routes to.
"""
self.app: Flask = app
if has_flask_limiter and app.demo:
limiter = Limiter(
get_remote_address,
app=app,
default_limits=["200 per day", "50 per hour"],
storage_uri="memory://",
auto_check=False,
strategy="moving-window",
)
if has_flask_limiter and app.demo:
@app.route('/', methods=['GET'])
@limiter.exempt
def home():
return render_template('demo.html', backend_url=os.environ.get("G4F_BACKEND_URL", ""))
else:
@app.route('/', methods=['GET'])
def home():
return render_template('home.html')
@app.route('/backend-api/v2/models', methods=['GET'])
def jsonify_models(**kwargs):
response = get_demo_models() if app.demo else self.get_models(**kwargs)
if isinstance(response, list):
return jsonify(response)
return response
@app.route('/backend-api/v2/models/<provider>', methods=['GET'])
def jsonify_provider_models(**kwargs):
response = self.get_provider_models(**kwargs)
if isinstance(response, list):
return jsonify(response)
return response
@app.route('/backend-api/v2/providers', methods=['GET'])
def jsonify_providers(**kwargs):
response = self.get_providers(**kwargs)
if isinstance(response, list):
return jsonify(response)
return response
def get_demo_models():
return [{
"name": model.name,
"image": isinstance(model, models.ImageModel),
"vision": isinstance(model, models.VisionModel),
"providers": [
getattr(provider, "parent", provider.__name__)
for provider in providers
],
"demo": True
}
for model, providers in models.demo_models.values()]
def handle_conversation(limiter_check: callable = None):
"""
Handles conversation requests and streams responses back.
Returns:
Response: A Flask response object for streaming.
"""
kwargs = {}
if "files[]" in request.files:
images = []
for file in request.files.getlist('files[]'):
if file.filename != '' and is_allowed_extension(file.filename):
images.append((to_image(file.stream, file.filename.endswith('.svg')), file.filename))
kwargs['images'] = images
if "json" in request.form:
json_data = json.loads(request.form['json'])
else:
json_data = request.json
if app.demo and json_data.get("provider") not in ["Custom", "Feature", "HuggingFace", "HuggingSpace", "G4F"]:
model = json_data.get("model")
if model != "default" and model in models.demo_models:
json_data["provider"] = random.choice(models.demo_models[model][1])
else:
if not model or model == "default":
json_data["model"] = models.demo_models["default"][0].name
json_data["provider"] = random.choice(models.demo_models["default"][1])
if limiter_check is not None and json_data.get("provider") in ["Feature"]:
limiter_check()
if "images" in json_data:
kwargs["images"] = json_data["images"]
if "zerogpu_token" in json_data:
kwargs["zerogpu_token"] = json_data["zerogpu_token"]
kwargs = self._prepare_conversation_kwargs(json_data, kwargs)
return self.app.response_class(
self._create_response_stream(
kwargs,
json_data.get("conversation_id"),
json_data.get("provider"),
json_data.get("download_images", True),
),
mimetype='text/event-stream'
)
if has_flask_limiter and app.demo:
@app.route('/backend-api/v2/conversation', methods=['POST'])
@limiter.limit("2 per minute")
def _handle_conversation():
return handle_conversation(limiter.check)
else:
@app.route('/backend-api/v2/conversation', methods=['POST'])
def _handle_conversation():
return handle_conversation()
@app.route('/backend-api/v2/usage', methods=['POST'])
def add_usage():
cache_dir = Path(get_cookies_dir()) / ".usage"
cache_file = cache_dir / f"{datetime.date.today()}.jsonl"
cache_dir.mkdir(parents=True, exist_ok=True)
with cache_file.open("a" if cache_file.exists() else "w") as f:
f.write(f"{json.dumps(request.json)}\n")
return {}
@app.route('/backend-api/v2/log', methods=['POST'])
def add_log():
cache_dir = Path(get_cookies_dir()) / ".logging"
cache_file = cache_dir / f"{datetime.date.today()}.jsonl"
cache_dir.mkdir(parents=True, exist_ok=True)
data = {"origin": request.headers.get("origin"), **request.json}
with cache_file.open("a" if cache_file.exists() else "w") as f:
f.write(f"{json.dumps(data)}\n")
return {}
@app.route('/backend-api/v2/memory/<user_id>', methods=['POST'])
def add_memory(user_id: str):
api_key = request.headers.get("x_api_key")
json_data = request.json
from mem0 import MemoryClient
client = MemoryClient(api_key=api_key)
client.add(
[{"role": item["role"], "content": item["content"]} for item in json_data.get("items")],
user_id=user_id,
metadata={"conversation_id": json_data.get("id")}
)
return {"count": len(json_data.get("items"))}
@app.route('/backend-api/v2/memory/<user_id>', methods=['GET'])
def read_memory(user_id: str):
api_key = request.headers.get("x_api_key")
from mem0 import MemoryClient
client = MemoryClient(api_key=api_key)
if request.args.get("search"):
return client.search(
request.args.get("search"),
user_id=user_id,
filters=json.loads(request.args.get("filters", "null")),
metadata=json.loads(request.args.get("metadata", "null"))
)
return client.get_all(
user_id=user_id,
page=request.args.get("page", 1),
page_size=request.args.get("page_size", 100),
filters=json.loads(request.args.get("filters", "null")),
)
self.routes = {
'/backend-api/v2/version': {
'function': self.get_version,
'methods': ['GET']
},
'/backend-api/v2/synthesize/<provider>': {
'function': self.handle_synthesize,
'methods': ['GET']
},
'/images/<path:name>': {
'function': self.serve_images,
'methods': ['GET']
}
}
@app.route('/backend-api/v2/create', methods=['GET', 'POST'])
def create():
try:
tool_calls = [{
"function": {
"name": "bucket_tool"
},
"type": "function"
}]
web_search = request.args.get("web_search")
if web_search:
tool_calls.append({
"function": {
"name": "search_tool",
"arguments": {"query": web_search, "instructions": "", "max_words": 1000} if web_search != "true" else {}
},
"type": "function"
})
do_filter_markdown = request.args.get("filter_markdown")
cache_id = request.args.get('cache')
parameters = {
"model": request.args.get("model"),
"messages": [{"role": "user", "content": request.args.get("prompt")}],
"provider": request.args.get("provider", None),
"stream": not do_filter_markdown and not cache_id,
"ignore_stream": not request.args.get("stream"),
"tool_calls": tool_calls,
}
if cache_id:
cache_id = sha256(cache_id.encode() + json.dumps(parameters, sort_keys=True).encode()).hexdigest()
cache_dir = Path(get_cookies_dir()) / ".scrape_cache" / "create"
cache_file = cache_dir / f"{quote_plus(request.args.get('prompt').strip()[:20])}.{cache_id}.txt"
if cache_file.exists():
with cache_file.open("r") as f:
response = f.read()
else:
response = iter_run_tools(ChatCompletion.create, **parameters)
cache_dir.mkdir(parents=True, exist_ok=True)
with cache_file.open("w") as f:
for chunk in response:
f.write(str(chunk))
else:
response = iter_run_tools(ChatCompletion.create, **parameters)
if do_filter_markdown:
return Response(filter_markdown("".join([str(chunk) for chunk in response]), do_filter_markdown), mimetype='text/plain')
def cast_str():
for chunk in response:
if not isinstance(chunk, Exception):
yield str(chunk)
return Response(cast_str(), mimetype='text/plain')
except Exception as e:
logger.exception(e)
return jsonify({"error": {"message": f"{type(e).__name__}: {e}"}}), 500
@app.route('/backend-api/v2/buckets', methods=['GET'])
def list_buckets():
try:
buckets = get_buckets()
if buckets is None:
return jsonify({"error": {"message": "Error accessing bucket directory"}}), 500
sanitized_buckets = [secure_filename(b) for b in buckets]
return jsonify(sanitized_buckets), 200
except Exception as e:
return jsonify({"error": {"message": str(e)}}), 500
@app.route('/backend-api/v2/files/<bucket_id>', methods=['GET', 'DELETE'])
def manage_files(bucket_id: str):
bucket_id = secure_filename(bucket_id)
bucket_dir = get_bucket_dir(bucket_id)
if not os.path.isdir(bucket_dir):
return jsonify({"error": {"message": "Bucket directory not found"}}), 404
if request.method == 'DELETE':
try:
shutil.rmtree(bucket_dir)
return jsonify({"message": "Bucket deleted successfully"}), 200
except OSError as e:
return jsonify({"error": {"message": f"Error deleting bucket: {str(e)}"}}), 500
except Exception as e:
return jsonify({"error": {"message": str(e)}}), 500
delete_files = request.args.get('delete_files', True)
refine_chunks_with_spacy = request.args.get('refine_chunks_with_spacy', False)
event_stream = 'text/event-stream' in request.headers.get('Accept', '')
mimetype = "text/event-stream" if event_stream else "text/plain";
return Response(get_streaming(bucket_dir, delete_files, refine_chunks_with_spacy, event_stream), mimetype=mimetype)
@self.app.route('/backend-api/v2/files/<bucket_id>', methods=['POST'])
def upload_files(bucket_id: str):
bucket_id = secure_filename(bucket_id)
bucket_dir = get_bucket_dir(bucket_id)
os.makedirs(bucket_dir, exist_ok=True)
filenames = []
for file in request.files.getlist('files[]'):
try:
filename = secure_filename(file.filename)
if supports_filename(filename):
with open(os.path.join(bucket_dir, filename), 'wb') as f:
shutil.copyfileobj(file.stream, f)
filenames.append(filename)
finally:
file.stream.close()
with open(os.path.join(bucket_dir, "files.txt"), 'w') as f:
[f.write(f"{filename}\n") for filename in filenames]
return {"bucket_id": bucket_id, "files": filenames}
@app.route('/backend-api/v2/files/<bucket_id>/<filename>', methods=['PUT'])
def upload_file(bucket_id, filename):
bucket_id = secure_filename(bucket_id)
bucket_dir = get_bucket_dir(bucket_id)
filename = secure_filename(filename)
bucket_path = Path(bucket_dir)
if not supports_filename(filename):
return jsonify({"error": {"message": f"File type not allowed"}}), 400
if not bucket_path.exists():
bucket_path.mkdir(parents=True, exist_ok=True)
try:
file_path = bucket_path / filename
file_data = request.get_data()
if not file_data:
return jsonify({"error": {"message": "No file data received"}}), 400
with file_path.open('wb') as f:
f.write(file_data)
return jsonify({"message": f"File '{filename}' uploaded successfully to bucket '{bucket_id}'"}), 201
except Exception as e:
return jsonify({"error": {"message": f"Error uploading file: {str(e)}"}}), 500
@app.route('/backend-api/v2/upload_cookies', methods=['POST'])
def upload_cookies(self):
file = None
if "file" in request.files:
file = request.files['file']
if file.filename == '':
return 'No selected file', 400
if file and file.filename.endswith(".json") or file.filename.endswith(".har"):
filename = secure_filename(file.filename)
file.save(os.path.join(get_cookies_dir(), filename))
return "File saved", 200
return 'Not supported file', 400
def handle_synthesize(self, provider: str):
try:
provider_handler = convert_to_provider(provider)
except ProviderNotFoundError:
return "Provider not found", 404
if not hasattr(provider_handler, "synthesize"):
return "Provider doesn't support synthesize", 500
response_data = provider_handler.synthesize({**request.args})
if asyncio.iscoroutinefunction(provider_handler.synthesize):
response_data = asyncio.run(response_data)
else:
if hasattr(response_data, "__aiter__"):
response_data = to_sync_generator(response_data)
response_data = safe_iter_generator(response_data)
content_type = getattr(provider_handler, "synthesize_content_type", "application/octet-stream")
response = flask.Response(response_data, content_type=content_type)
response.headers['Cache-Control'] = "max-age=604800"
return response
def get_provider_models(self, provider: str):
api_key = request.headers.get("x_api_key")
api_base = request.headers.get("x_api_base")
models = super().get_provider_models(provider, api_key, api_base)
if models is None:
return "Provider not found", 404
return models
def _format_json(self, response_type: str, content = None, **kwargs) -> str:
"""
Formats and returns a JSON response.
Args:
response_type (str): The type of the response.
content: The content to be included in the response.
Returns:
str: A JSON formatted string.
"""
return json.dumps(super()._format_json(response_type, content, **kwargs)) + "\n"