mirror of
https://github.com/arc53/DocsGPT
synced 2024-11-19 21:25:39 +00:00
322 lines
10 KiB
Python
322 lines
10 KiB
Python
import os
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from flask import Blueprint, request, jsonify
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import requests
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from pymongo import MongoClient
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from bson.objectid import ObjectId
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from werkzeug.utils import secure_filename
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from application.api.user.tasks import ingest
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from application.core.settings import settings
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from application.vectorstore.vector_creator import VectorCreator
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mongo = MongoClient(settings.MONGO_URI)
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db = mongo["docsgpt"]
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conversations_collection = db["conversations"]
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vectors_collection = db["vectors"]
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prompts_collection = db["prompts"]
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feedback_collection = db["feedback"]
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user = Blueprint('user', __name__)
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current_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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@user.route("/api/delete_conversation", methods=["POST"])
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def delete_conversation():
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# deletes a conversation from the database
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conversation_id = request.args.get("id")
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# write to mongodb
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conversations_collection.delete_one(
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{
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"_id": ObjectId(conversation_id),
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}
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)
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return {"status": "ok"}
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@user.route("/api/get_conversations", methods=["get"])
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def get_conversations():
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# provides a list of conversations
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conversations = conversations_collection.find().sort("date", -1)
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list_conversations = []
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for conversation in conversations:
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list_conversations.append({"id": str(conversation["_id"]), "name": conversation["name"]})
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#list_conversations = [{"id": "default", "name": "default"}, {"id": "jeff", "name": "jeff"}]
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return jsonify(list_conversations)
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@user.route("/api/get_single_conversation", methods=["get"])
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def get_single_conversation():
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# provides data for a conversation
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conversation_id = request.args.get("id")
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conversation = conversations_collection.find_one({"_id": ObjectId(conversation_id)})
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return jsonify(conversation['queries'])
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@user.route("/api/update_conversation_name", methods=["POST"])
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def update_conversation_name():
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# update data for a conversation
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data = request.get_json()
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id = data["id"]
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name = data["name"]
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conversations_collection.update_one({"_id": ObjectId(id)},{"$set":{"name":name}})
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return {"status": "ok"}
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@user.route("/api/feedback", methods=["POST"])
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def api_feedback():
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data = request.get_json()
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question = data["question"]
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answer = data["answer"]
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feedback = data["feedback"]
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feedback_collection.insert_one(
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{
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"question": question,
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"answer": answer,
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"feedback": feedback,
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}
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)
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return {"status": "ok"}
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@user.route("/api/delete_by_ids", methods=["get"])
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def delete_by_ids():
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"""Delete by ID. These are the IDs in the vectorstore"""
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ids = request.args.get("path")
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if not ids:
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return {"status": "error"}
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if settings.VECTOR_STORE == "faiss":
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result = vectors_collection.delete_index(ids=ids)
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if result:
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return {"status": "ok"}
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return {"status": "error"}
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@user.route("/api/delete_old", methods=["get"])
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def delete_old():
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"""Delete old indexes."""
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import shutil
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path = request.args.get("path")
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dirs = path.split("/")
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dirs_clean = []
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for i in range(0, len(dirs)):
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dirs_clean.append(secure_filename(dirs[i]))
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# check that path strats with indexes or vectors
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if dirs_clean[0] not in ["indexes", "vectors"]:
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return {"status": "error"}
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path_clean = "/".join(dirs_clean)
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vectors_collection.delete_one({"name": dirs_clean[-1], 'user': dirs_clean[-2]})
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if settings.VECTOR_STORE == "faiss":
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try:
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shutil.rmtree(os.path.join(current_dir, path_clean))
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except FileNotFoundError:
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pass
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else:
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vetorstore = VectorCreator.create_vectorstore(
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settings.VECTOR_STORE, path=os.path.join(current_dir, path_clean)
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)
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vetorstore.delete_index()
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return {"status": "ok"}
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@user.route("/api/upload", methods=["POST"])
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def upload_file():
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"""Upload a file to get vectorized and indexed."""
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if "user" not in request.form:
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return {"status": "no user"}
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user = secure_filename(request.form["user"])
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if "name" not in request.form:
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return {"status": "no name"}
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job_name = secure_filename(request.form["name"])
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# check if the post request has the file part
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if "file" not in request.files:
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print("No file part")
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return {"status": "no file"}
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file = request.files["file"]
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if file.filename == "":
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return {"status": "no file name"}
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if file:
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filename = secure_filename(file.filename)
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# save dir
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save_dir = os.path.join(current_dir, settings.UPLOAD_FOLDER, user, job_name)
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# create dir if not exists
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if not os.path.exists(save_dir):
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os.makedirs(save_dir)
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file.save(os.path.join(save_dir, filename))
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task = ingest.delay(settings.UPLOAD_FOLDER, [".rst", ".md", ".pdf", ".txt", ".docx",
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".csv", ".epub", ".html", ".mdx"],
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job_name, filename, user)
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# task id
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task_id = task.id
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return {"status": "ok", "task_id": task_id}
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else:
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return {"status": "error"}
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@user.route("/api/task_status", methods=["GET"])
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def task_status():
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"""Get celery job status."""
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task_id = request.args.get("task_id")
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from application.celery import celery
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task = celery.AsyncResult(task_id)
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task_meta = task.info
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return {"status": task.status, "result": task_meta}
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@user.route("/api/combine", methods=["GET"])
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def combined_json():
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user = "local"
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"""Provide json file with combined available indexes."""
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# get json from https://d3dg1063dc54p9.cloudfront.net/combined.json
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data = [
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{
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"name": "default",
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"language": "default",
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"version": "",
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"description": "default",
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"fullName": "default",
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"date": "default",
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"docLink": "default",
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"model": settings.EMBEDDINGS_NAME,
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"location": "remote",
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}
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]
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# structure: name, language, version, description, fullName, date, docLink
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# append data from vectors_collection
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for index in vectors_collection.find({"user": user}):
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data.append(
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{
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"name": index["name"],
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"language": index["language"],
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"version": "",
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"description": index["name"],
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"fullName": index["name"],
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"date": index["date"],
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"docLink": index["location"],
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"model": settings.EMBEDDINGS_NAME,
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"location": "local",
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}
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)
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if settings.VECTOR_STORE == "faiss":
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data_remote = requests.get("https://d3dg1063dc54p9.cloudfront.net/combined.json").json()
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for index in data_remote:
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index["location"] = "remote"
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data.append(index)
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return jsonify(data)
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@user.route("/api/docs_check", methods=["POST"])
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def check_docs():
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# check if docs exist in a vectorstore folder
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data = request.get_json()
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# split docs on / and take first part
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if data["docs"].split("/")[0] == "local":
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return {"status": "exists"}
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vectorstore = "vectors/" + data["docs"]
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base_path = "https://raw.githubusercontent.com/arc53/DocsHUB/main/"
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if os.path.exists(vectorstore) or data["docs"] == "default":
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return {"status": "exists"}
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else:
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r = requests.get(base_path + vectorstore + "index.faiss")
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if r.status_code != 200:
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return {"status": "null"}
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else:
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if not os.path.exists(vectorstore):
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os.makedirs(vectorstore)
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with open(vectorstore + "index.faiss", "wb") as f:
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f.write(r.content)
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# download the store
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r = requests.get(base_path + vectorstore + "index.pkl")
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with open(vectorstore + "index.pkl", "wb") as f:
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f.write(r.content)
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return {"status": "loaded"}
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@user.route("/api/create_prompt", methods=["POST"])
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def create_prompt():
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data = request.get_json()
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content = data["content"]
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name = data["name"]
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if name == "":
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return {"status": "error"}
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user = "local"
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resp = prompts_collection.insert_one(
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{
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"name": name,
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"content": content,
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"user": user,
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}
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)
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new_id = str(resp.inserted_id)
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return {"id": new_id}
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@user.route("/api/get_prompts", methods=["GET"])
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def get_prompts():
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user = "local"
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prompts = prompts_collection.find({"user": user})
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list_prompts = []
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list_prompts.append({"id": "default", "name": "default", "type": "public"})
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list_prompts.append({"id": "creative", "name": "creative", "type": "public"})
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list_prompts.append({"id": "strict", "name": "strict", "type": "public"})
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for prompt in prompts:
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list_prompts.append({"id": str(prompt["_id"]), "name": prompt["name"], "type": "private"})
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return jsonify(list_prompts)
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@user.route("/api/get_single_prompt", methods=["GET"])
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def get_single_prompt():
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prompt_id = request.args.get("id")
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if prompt_id == 'default':
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with open(os.path.join(current_dir, "prompts", "chat_combine_default.txt"), "r") as f:
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chat_combine_template = f.read()
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return jsonify({"content": chat_combine_template})
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elif prompt_id == 'creative':
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with open(os.path.join(current_dir, "prompts", "chat_combine_creative.txt"), "r") as f:
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chat_reduce_creative = f.read()
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return jsonify({"content": chat_reduce_creative})
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elif prompt_id == 'strict':
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with open(os.path.join(current_dir, "prompts", "chat_combine_strict.txt"), "r") as f:
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chat_reduce_strict = f.read()
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return jsonify({"content": chat_reduce_strict})
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prompt = prompts_collection.find_one({"_id": ObjectId(prompt_id)})
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return jsonify({"content": prompt["content"]})
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@user.route("/api/delete_prompt", methods=["POST"])
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def delete_prompt():
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data = request.get_json()
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id = data["id"]
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prompts_collection.delete_one(
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{
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"_id": ObjectId(id),
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}
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)
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return {"status": "ok"}
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@user.route("/api/update_prompt", methods=["POST"])
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def update_prompt_name():
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data = request.get_json()
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id = data["id"]
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name = data["name"]
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content = data["content"]
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# check if name is null
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if name == "":
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return {"status": "error"}
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prompts_collection.update_one({"_id": ObjectId(id)},{"$set":{"name":name, "content": content}})
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return {"status": "ok"}
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