File size: 10,574 Bytes
8a41f4d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
import os
from flask import Blueprint, request, jsonify
import requests
from pymongo import MongoClient
from bson.objectid import ObjectId
from werkzeug.utils import secure_filename

from application.api.user.tasks import ingest

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"]
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)
    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
    if "file" not in request.files:
        print("No file part")
        return {"status": "no file"}
    file = request.files["file"]
    if file.filename == "":
        return {"status": "no file name"}

    if file:
        filename = secure_filename(file.filename)
        # save dir
        save_dir = os.path.join(current_dir, settings.UPLOAD_FOLDER, user, job_name)
        # create dir if not exists
        if not os.path.exists(save_dir):
            os.makedirs(save_dir)

        file.save(os.path.join(save_dir, filename))
        task = ingest.delay(settings.UPLOAD_FOLDER, [".rst", ".md", ".pdf", ".txt", ".docx", 
        ".csv", ".epub", ".html", ".mdx"],
         job_name, filename, user)
        # 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/" + data["docs"]
    base_path = "https://raw.githubusercontent.com/arc53/DocsHUB/main/"
    if os.path.exists(vectorstore) or data["docs"] == "default":
        return {"status": "exists"}
    else:
        r = requests.get(base_path + vectorstore + "index.faiss")

        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)

        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"}