DocsGPT/application/api/user/routes.py
2024-04-09 19:56:07 +04:00

418 lines
14 KiB
Python

import os
import uuid
import shutil
from flask import Blueprint, request, jsonify
from urllib.parse import urlparse
import requests
from pymongo import MongoClient
from bson.objectid import ObjectId
from werkzeug.utils import secure_filename
from application.api.user.tasks import ingest, ingest_remote
from application.core.settings import settings
from application.vectorstore.vector_creator import VectorCreator
mongo = MongoClient(settings.MONGO_URI)
db = mongo["docsgpt"]
conversations_collection = db["conversations"]
vectors_collection = db["vectors"]
prompts_collection = db["prompts"]
feedback_collection = db["feedback"]
api_key_collection = db["api_keys"]
user = Blueprint('user', __name__)
current_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
@user.route("/api/delete_conversation", methods=["POST"])
def delete_conversation():
# deletes a conversation from the database
conversation_id = request.args.get("id")
# write to mongodb
conversations_collection.delete_one(
{
"_id": ObjectId(conversation_id),
}
)
return {"status": "ok"}
@user.route("/api/get_conversations", methods=["get"])
def get_conversations():
# provides a list of conversations
conversations = conversations_collection.find().sort("date", -1).limit(30)
list_conversations = []
for conversation in conversations:
list_conversations.append({"id": str(conversation["_id"]), "name": conversation["name"]})
#list_conversations = [{"id": "default", "name": "default"}, {"id": "jeff", "name": "jeff"}]
return jsonify(list_conversations)
@user.route("/api/get_single_conversation", methods=["get"])
def get_single_conversation():
# provides data for a conversation
conversation_id = request.args.get("id")
conversation = conversations_collection.find_one({"_id": ObjectId(conversation_id)})
return jsonify(conversation['queries'])
@user.route("/api/update_conversation_name", methods=["POST"])
def update_conversation_name():
# update data for a conversation
data = request.get_json()
id = data["id"]
name = data["name"]
conversations_collection.update_one({"_id": ObjectId(id)},{"$set":{"name":name}})
return {"status": "ok"}
@user.route("/api/feedback", methods=["POST"])
def api_feedback():
data = request.get_json()
question = data["question"]
answer = data["answer"]
feedback = data["feedback"]
feedback_collection.insert_one(
{
"question": question,
"answer": answer,
"feedback": feedback,
}
)
return {"status": "ok"}
@user.route("/api/delete_by_ids", methods=["get"])
def delete_by_ids():
"""Delete by ID. These are the IDs in the vectorstore"""
ids = request.args.get("path")
if not ids:
return {"status": "error"}
if settings.VECTOR_STORE == "faiss":
result = vectors_collection.delete_index(ids=ids)
if result:
return {"status": "ok"}
return {"status": "error"}
@user.route("/api/delete_old", methods=["get"])
def delete_old():
"""Delete old indexes."""
import shutil
path = request.args.get("path")
dirs = path.split("/")
dirs_clean = []
for i in range(0, len(dirs)):
dirs_clean.append(secure_filename(dirs[i]))
# check that path strats with indexes or vectors
if dirs_clean[0] not in ["indexes", "vectors"]:
return {"status": "error"}
path_clean = "/".join(dirs_clean)
vectors_collection.delete_one({"name": dirs_clean[-1], 'user': dirs_clean[-2]})
if settings.VECTOR_STORE == "faiss":
try:
shutil.rmtree(os.path.join(current_dir, path_clean))
except FileNotFoundError:
pass
else:
vetorstore = VectorCreator.create_vectorstore(
settings.VECTOR_STORE, path=os.path.join(current_dir, path_clean)
)
vetorstore.delete_index()
return {"status": "ok"}
@user.route("/api/upload", methods=["POST"])
def upload_file():
"""Upload a file to get vectorized and indexed."""
if "user" not in request.form:
return {"status": "no user"}
user = secure_filename(request.form["user"])
if "name" not in request.form:
return {"status": "no name"}
job_name = secure_filename(request.form["name"])
# check if the post request has the file part
files = request.files.getlist("file")
if not files or all(file.filename == '' for file in files):
return {"status": "no file name"}
# Directory where files will be saved
save_dir = os.path.join(current_dir, settings.UPLOAD_FOLDER, user, job_name)
os.makedirs(save_dir, exist_ok=True)
if len(files) > 1:
# Multiple files; prepare them for zip
temp_dir = os.path.join(save_dir, "temp")
os.makedirs(temp_dir, exist_ok=True)
for file in files:
filename = secure_filename(file.filename)
file.save(os.path.join(temp_dir, filename))
# Use shutil.make_archive to zip the temp directory
zip_path = shutil.make_archive(base_name=os.path.join(save_dir, job_name), format='zip', root_dir=temp_dir)
final_filename = os.path.basename(zip_path)
# Clean up the temporary directory after zipping
shutil.rmtree(temp_dir)
else:
# Single file
file = files[0]
final_filename = secure_filename(file.filename)
file_path = os.path.join(save_dir, final_filename)
file.save(file_path)
# Call ingest with the single file or zipped file
task = ingest.delay(settings.UPLOAD_FOLDER, [".rst", ".md", ".pdf", ".txt", ".docx",
".csv", ".epub", ".html", ".mdx"],
job_name, final_filename, user)
return {"status": "ok", "task_id": task.id}
@user.route("/api/remote", methods=["POST"])
def upload_remote():
"""Upload a remote source to get vectorized and indexed."""
if "user" not in request.form:
return {"status": "no user"}
user = secure_filename(request.form["user"])
if "source" not in request.form:
return {"status": "no source"}
source = secure_filename(request.form["source"])
if "name" not in request.form:
return {"status": "no name"}
job_name = secure_filename(request.form["name"])
# check if the post request has the file part
if "data" not in request.form:
print("No data")
return {"status": "no data"}
source_data = request.form["data"]
if source_data:
task = ingest_remote.delay(source_data=source_data, job_name=job_name, user=user, loader=source)
# task id
task_id = task.id
return {"status": "ok", "task_id": task_id}
else:
return {"status": "error"}
@user.route("/api/task_status", methods=["GET"])
def task_status():
"""Get celery job status."""
task_id = request.args.get("task_id")
from application.celery import celery
task = celery.AsyncResult(task_id)
task_meta = task.info
return {"status": task.status, "result": task_meta}
@user.route("/api/combine", methods=["GET"])
def combined_json():
user = "local"
"""Provide json file with combined available indexes."""
# get json from https://d3dg1063dc54p9.cloudfront.net/combined.json
data = [
{
"name": "default",
"language": "default",
"version": "",
"description": "default",
"fullName": "default",
"date": "default",
"docLink": "default",
"model": settings.EMBEDDINGS_NAME,
"location": "remote",
}
]
# structure: name, language, version, description, fullName, date, docLink
# append data from vectors_collection
for index in vectors_collection.find({"user": user}):
data.append(
{
"name": index["name"],
"language": index["language"],
"version": "",
"description": index["name"],
"fullName": index["name"],
"date": index["date"],
"docLink": index["location"],
"model": settings.EMBEDDINGS_NAME,
"location": "local",
}
)
if settings.VECTOR_STORE == "faiss":
data_remote = requests.get("https://d3dg1063dc54p9.cloudfront.net/combined.json").json()
for index in data_remote:
index["location"] = "remote"
data.append(index)
return jsonify(data)
@user.route("/api/docs_check", methods=["POST"])
def check_docs():
# check if docs exist in a vectorstore folder
data = request.get_json()
# split docs on / and take first part
if data["docs"].split("/")[0] == "local":
return {"status": "exists"}
vectorstore = "vectors/" + secure_filename(data["docs"])
base_path = "https://raw.githubusercontent.com/arc53/DocsHUB/main/"
if os.path.exists(vectorstore) or data["docs"] == "default":
return {"status": "exists"}
else:
file_url = urlparse(base_path + vectorstore + "index.faiss")
if file_url.scheme in ['https'] and file_url.netloc == 'raw.githubusercontent.com' and file_url.path.startswith('/arc53/DocsHUB/main/'):
r = requests.get(file_url.geturl())
if r.status_code != 200:
return {"status": "null"}
else:
if not os.path.exists(vectorstore):
os.makedirs(vectorstore)
with open(vectorstore + "index.faiss", "wb") as f:
f.write(r.content)
# download the store
r = requests.get(base_path + vectorstore + "index.pkl")
with open(vectorstore + "index.pkl", "wb") as f:
f.write(r.content)
else:
return {"status": "null"}
return {"status": "loaded"}
@user.route("/api/create_prompt", methods=["POST"])
def create_prompt():
data = request.get_json()
content = data["content"]
name = data["name"]
if name == "":
return {"status": "error"}
user = "local"
resp = prompts_collection.insert_one(
{
"name": name,
"content": content,
"user": user,
}
)
new_id = str(resp.inserted_id)
return {"id": new_id}
@user.route("/api/get_prompts", methods=["GET"])
def get_prompts():
user = "local"
prompts = prompts_collection.find({"user": user})
list_prompts = []
list_prompts.append({"id": "default", "name": "default", "type": "public"})
list_prompts.append({"id": "creative", "name": "creative", "type": "public"})
list_prompts.append({"id": "strict", "name": "strict", "type": "public"})
for prompt in prompts:
list_prompts.append({"id": str(prompt["_id"]), "name": prompt["name"], "type": "private"})
return jsonify(list_prompts)
@user.route("/api/get_single_prompt", methods=["GET"])
def get_single_prompt():
prompt_id = request.args.get("id")
if prompt_id == 'default':
with open(os.path.join(current_dir, "prompts", "chat_combine_default.txt"), "r") as f:
chat_combine_template = f.read()
return jsonify({"content": chat_combine_template})
elif prompt_id == 'creative':
with open(os.path.join(current_dir, "prompts", "chat_combine_creative.txt"), "r") as f:
chat_reduce_creative = f.read()
return jsonify({"content": chat_reduce_creative})
elif prompt_id == 'strict':
with open(os.path.join(current_dir, "prompts", "chat_combine_strict.txt"), "r") as f:
chat_reduce_strict = f.read()
return jsonify({"content": chat_reduce_strict})
prompt = prompts_collection.find_one({"_id": ObjectId(prompt_id)})
return jsonify({"content": prompt["content"]})
@user.route("/api/delete_prompt", methods=["POST"])
def delete_prompt():
data = request.get_json()
id = data["id"]
prompts_collection.delete_one(
{
"_id": ObjectId(id),
}
)
return {"status": "ok"}
@user.route("/api/update_prompt", methods=["POST"])
def update_prompt_name():
data = request.get_json()
id = data["id"]
name = data["name"]
content = data["content"]
# check if name is null
if name == "":
return {"status": "error"}
prompts_collection.update_one({"_id": ObjectId(id)},{"$set":{"name":name, "content": content}})
return {"status": "ok"}
@user.route("/api/get_api_keys", methods=["GET"])
def get_api_keys():
user = "local"
keys = api_key_collection.find({"user": user})
list_keys = []
for key in keys:
list_keys.append({
"id": str(key["_id"]),
"name": key["name"],
"key": key["key"][:4] + "..." + key["key"][-4:],
"source": key["source"],
"prompt_id": key["prompt_id"],
"chunks": key["chunks"]
})
return jsonify(list_keys)
@user.route("/api/create_api_key", methods=["POST"])
def create_api_key():
data = request.get_json()
name = data["name"]
source = data["source"]
prompt_id = data["prompt_id"]
chunks = data["chunks"]
key = str(uuid.uuid4())
user = "local"
resp = api_key_collection.insert_one(
{
"name": name,
"key": key,
"source": source,
"user": user,
"prompt_id": prompt_id,
"chunks": chunks
}
)
new_id = str(resp.inserted_id)
return {"id": new_id, "key": key}
@user.route("/api/delete_api_key", methods=["POST"])
def delete_api_key():
data = request.get_json()
id = data["id"]
api_key_collection.delete_one(
{
"_id": ObjectId(id),
}
)
return {"status": "ok"}