Spaces:
Build error
Build error
File size: 27,726 Bytes
b91146d |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 |
# Setup for MongoDB
from pymongo import MongoClient
from datetime import datetime
from werkzeug.security import generate_password_hash
import os
from dotenv import load_dotenv
load_dotenv()
MONGO_URI = os.getenv("MONGO_URI")
client = MongoClient(MONGO_URI)
try:
client.admin.command("ping")
print("MongoDB connection successful")
except Exception as e:
print(f"MongoDB connection failed: {e}")
db = client["novascholar_db"]
########
# Research Assistant Schema
research_assistant_schema = {
"bsonType": "object",
"required": ["full_name", "password", "email", "courses_assisted"],
"properties": {
"full_name": {
"bsonType": "string",
"description": "Full name of the research assistant",
},
"password": {
"bsonType": "string",
"description": "Hashed password of the research assistant",
},
"email": {
"bsonType": "string",
"description": "Email address of the research assistant",
},
"courses_assisted": {
"bsonType": "array",
"description": "List of courses the research assistant is assisting",
"items": {
"bsonType": "object",
"required": ["course_id"],
"properties": {
"course_id": {
"bsonType": "string",
"description": "ID of the course",
}
},
},
},
},
}
# Create research assistants collection
research_assistants_collection = db["research_assistants"]
# Create indexes
research_assistants_collection.create_index("full_name", unique=True)
research_assistants_collection.create_index("email", unique=True)
# Optional: Sample data insertion function
def insert_sample_research_assistants():
sample_research_assistants = [
{
"full_name": "John Doe RA",
"password": generate_password_hash("password123"),
"email": "[email protected]",
"courses_assisted": [{"course_id": "CS101"}, {"course_id": "CS102"}],
}
]
try:
research_assistants_collection.insert_many(sample_research_assistants)
print("Sample research assistants inserted successfully!")
except Exception as e:
print(f"Error inserting sample research assistants: {e}")
###########
###############
# Add after research assistant schema
# Analyst Schema
analyst_schema = {
"bsonType": "object",
"required": ["full_name", "password", "email", "courses_analyzed"],
"properties": {
"full_name": {"bsonType": "string", "description": "Full name of the analyst"},
"password": {
"bsonType": "string",
"description": "Hashed password of the analyst",
},
"email": {"bsonType": "string", "description": "Email address of the analyst"},
"courses_analyzed": {
"bsonType": "array",
"description": "List of courses the analyst is analyzing",
"items": {
"bsonType": "object",
"required": ["course_id"],
"properties": {
"course_id": {
"bsonType": "string",
"description": "ID of the course",
}
},
},
},
},
}
# Create analysts collection
analysts_collection = db["analysts"]
# Create indexes for analysts
analysts_collection.create_index("full_name", unique=True)
analysts_collection.create_index("email", unique=True)
def insert_sample_analysts():
sample_analysts = [
{
"full_name": "jane",
"password": generate_password_hash("jane"),
"email": "[email protected]",
"courses_analyzed": [{"course_id": "CS101"}, {"course_id": "CS102"}],
}
]
try:
analysts_collection.insert_many(sample_analysts)
print("Sample analysts inserted successfully!")
except Exception as e:
print(f"Error inserting sample analysts: {e}")
##############@
# Define the course schema
course_schema = {
"bsonType": "object",
"required": [
"course_id",
"title",
"description",
"faculty",
"faculty_id",
"duration",
"created_at",
],
"properties": {
"course_id": {
"bsonType": "string",
"description": "Unique identifier for the course",
},
"title": {"bsonType": "string", "description": "Title of the course"},
"description": {
"bsonType": "string",
"description": "Description of the course",
},
"faculty": {"bsonType": "string", "description": "Name of the faculty"},
"duration": {"bsonType": "string", "description": "Duration of the course"},
"created_at": {
"bsonType": "date",
"description": "Date when the course was created",
},
"sessions": {
"bsonType": "array",
"description": "List of sessions associated with the course",
"items": {
"bsonType": "object",
"required": ["session_id", "title", "date", "status", "created_at"],
"properties": {
"session_id": {
"bsonType": "string",
"description": "Unique identifier for the session",
},
"title": {
"bsonType": "string",
"description": "Title of the session",
},
"date": {"bsonType": "date", "description": "Date of the session"},
"status": {
"bsonType": "string",
"description": "Status of the session (e.g., completed, upcoming)",
},
"created_at": {
"bsonType": "date",
"description": "Date when the session was created",
},
"pre_class": {
"bsonType": "object",
"description": "Pre-class segment data",
"properties": {
"resources": {
"bsonType": "array",
"description": "List of pre-class resources",
"items": {
"bsonType": "object",
"required": ["type", "title", "url"],
"properties": {
"type": {
"bsonType": "string",
"description": "Type of resource (e.g., pdf, video)",
},
"title": {
"bsonType": "string",
"description": "Title of the resource",
},
"url": {
"bsonType": "string",
"description": "URL of the resource",
},
"vector": {
"bsonType": "array",
"description": "Vector representation of the resource",
"items": {"bsonType": "double"},
},
},
},
},
"completion_required": {
"bsonType": "bool",
"description": "Indicates if completion of pre-class resources is required",
},
},
},
"in_class": {
"bsonType": "object",
"description": "In-class segment data",
"properties": {
"topics": {
"bsonType": "array",
"description": "List of topics covered in the session",
"items": {"bsonType": "string"},
},
"quiz": {
"bsonType": "object",
"description": "Quiz data",
"properties": {
"title": {
"bsonType": "string",
"description": "Title of the quiz",
},
"questions": {
"bsonType": "int",
"description": "Number of questions in the quiz",
},
"duration": {
"bsonType": "int",
"description": "Duration of the quiz in minutes",
},
},
},
"polls": {
"bsonType": "array",
"description": "List of polls conducted during the session",
"items": {
"bsonType": "object",
"required": ["question", "options"],
"properties": {
"question": {
"bsonType": "string",
"description": "Poll question",
},
"options": {
"bsonType": "array",
"description": "List of poll options",
"items": {"bsonType": "string"},
},
"responses": {
"bsonType": "object",
"description": "Responses to the poll",
"additionalProperties": {"bsonType": "int"},
},
},
},
},
},
},
"post_class": {
"bsonType": "object",
"description": "Post-class segment data",
"properties": {
"assignments": {
"bsonType": "array",
"description": "List of assignments",
"items": {
"bsonType": "object",
"required": ["id", "title", "due_date", "status"],
"properties": {
"id": {
"bsonType": "int",
"description": "Assignment ID",
},
"title": {
"bsonType": "string",
"description": "Title of the assignment",
},
"due_date": {
"bsonType": "date",
"description": "Due date of the assignment",
},
"status": {
"bsonType": "string",
"description": "Status of the assignment (e.g., pending, completed)",
},
"submissions": {
"bsonType": "array",
"description": "List of submissions",
"items": {
"bsonType": "object",
"required": [
"student_id",
"file_url",
"submitted_at",
],
"properties": {
"student_id": {
"bsonType": "string",
"description": "ID of the student who submitted the assignment",
},
"file_url": {
"bsonType": "string",
"description": "URL of the submitted file",
},
"submitted_at": {
"bsonType": "date",
"description": "Date when the assignment was submitted",
},
},
},
},
},
},
}
},
},
},
},
},
},
}
# Create the collection with the schema
# db.create_collection("courses_collection2", validator={"$jsonSchema": course_schema})
# sample_course = {
# "course_id": "CS101",
# "title": "Introduction to Computer Science",
# "description": "This course covers the basics of computer science and programming.",
# "faculty": "Dr. John Doe",
# "faculty_id": "F101",
# "duration": "10 weeks",
# "created_at": datetime.utcnow(),
# "sessions": [
# {
# "session_id": "S101",
# "title": "Introduction to Programming Fundamentals",
# "date": datetime.utcnow() - timedelta(days=7),
# "status": "completed",
# "created_at": datetime.utcnow() - timedelta(days=7),
# "pre_class": {
# "resources": [
# {
# "type": "pdf",
# "title": "Introduction to Python Basics",
# "url": "/assets/python_basics.pdf",
# "vector": [0.1, 0.2, 0.3] # Example vector
# }
# ],
# "completion_required": True
# },
# "in_class": {
# "topics": ["Variables", "Data Types", "Basic Operations"],
# "quiz": {
# "title": "Python Basics Quiz",
# "questions": 5,
# "duration": 15
# },
# "polls": [
# {
# "question": "How comfortable are you with Python syntax?",
# "options": ["Very", "Somewhat", "Not at all"],
# "responses": {"Very": 10, "Somewhat": 5, "Not at all": 2}
# }
# ]
# },
# "post_class": {
# "assignments": [
# {
# "id": 1,
# "title": "Basic Python Programs",
# "due_date": datetime.utcnow() + timedelta(days=2),
# "status": "pending",
# "submissions": []
# }
# ]
# }
# },
# {
# "session_id": "S102",
# "title": "Control Flow and Functions",
# "date": datetime.utcnow() - timedelta(days=3),
# "status": "completed",
# "created_at": datetime.utcnow() - timedelta(days=3),
# "pre_class": {
# "resources": [
# {
# "type": "pdf",
# "title": "Control Flow in Python",
# "url": "/assets/control_flow.pdf",
# "vector": [0.4, 0.5, 0.6] # Example vector
# }
# ],
# "completion_required": True
# },
# "in_class": {
# "topics": ["If-else statements", "Loops", "Function definitions"],
# "quiz": {
# "title": "Control Flow Quiz",
# "questions": 8,
# "duration": 20
# },
# "polls": [
# {
# "question": "Which loop type do you find more intuitive?",
# "options": ["For loops", "While loops", "Both"],
# "responses": {"For loops": 12, "While loops": 8, "Both": 10}
# }
# ]
# },
# "post_class": {
# "assignments": [
# {
# "id": 2,
# "title": "Function Implementation Exercise",
# "due_date": datetime.utcnow() + timedelta(days=4),
# "status": "pending",
# "submissions": []
# }
# ]
# }
# }
# ]
# }
courses_collection2 = db["courses_collection2"]
# Define the users schema
users_schema = {
"bsonType": "object",
"required": ["user_id", "username", "password", "role", "created_at"],
"properties": {
"user_id": {
"bsonType": "string",
"description": "Unique identifier for the user",
},
"username": {"bsonType": "string", "description": "Name of the User"},
"password": {"bsonType": "string", "description": "Password of the user"},
"role": {
"bsonType": "string",
"description": "Type of user (e.g., student, faculty)",
},
"created_at": {
"bsonType": "date",
"description": "Date when the user was created",
},
},
}
# Create the collection with the schema
# db.create_collection("users", validator={"$jsonSchema": users_schema})
users_collection = db["users"]
# Defining the Student Collection
student_schema = {
"bsonType": "object",
"required": ["SID", "full_name", "password", "enrolled_courses", "created_at"],
"properties": {
"SID": {
"bsonType": "string",
"description": "Unique identifier for the student",
},
"full_name": {"bsonType": "string", "description": "Full name of the student"},
"password": {
"bsonType": "string",
"description": "Hashed password of the student",
},
"enrolled_courses": {
"bsonType": "array",
"description": "List of courses the student is enrolled in",
"items": {
"bsonType": "object",
"required": ["course_id", "title"],
"properties": {
"course_id": {
"bsonType": "string",
"description": "Unique identifier for the course",
},
"title": {
"bsonType": "string",
"description": "Title of the course",
},
},
},
},
"created_at": {
"bsonType": "date",
"description": "Date when the student was created",
},
},
}
# Defining the Faculty Collection
faculty_schema = {
"bsonType": "object",
"required": ["TID", "full_name", "password", "courses_taught", "created_at"],
"properties": {
"TID": {
"bsonType": "string",
"description": "Unique identifier for the faculty",
},
"full_name": {"bsonType": "string", "description": "Full name of the faculty"},
"password": {
"bsonType": "string",
"description": "Hashed password of the faculty",
},
"courses_taught": {
"bsonType": "array",
"description": "List of courses the faculty is teaching",
"items": {
"bsonType": "object",
"required": ["course_id", "title"],
"properties": {
"course_id": {
"bsonType": "string",
"description": "Unique identifier for the course",
},
"title": {
"bsonType": "string",
"description": "Title of the course",
},
},
},
},
"created_at": {
"bsonType": "date",
"description": "Date when the faculty was created",
},
},
}
# Creating the Collections
# db.create_collection("students", validator={"$jsonSchema": student_schema})
# db.create_collection("faculty", validator={"$jsonSchema": faculty_schema})
students_collection = db["students"]
faculty_collection = db["faculty"]
# Defining the Vector Collection Schema
vector_schema = {
"bsonType": "object",
"required": ["resource_id", "vector"],
"properties": {
"resource_id": {
"bsonType": "objectId",
"description": "Unique identifier for the resource",
},
"vector": {
"bsonType": "array",
"description": "Vector representation of the resource",
"items": {"bsonType": "double"},
},
"text": {"bsonType": "string", "description": "Text content of the resource"},
"created_at": {
"bsonType": "date",
"description": "Date when the vector was created",
},
},
}
# Creating the Vector Collection
# db.create_collection("vectors", validator={"$jsonSchema": vector_schema})
vectors_collection = db["vectors"]
# Creating a Chat-History Collection
# Creating a Chat-History Collection
chat_history_schema = {
"bsonType": "object",
"required": ["user_id", "session_id", "messages", "timestamp"],
"properties": {
"user_id": {
"bsonType": "objectId",
"description": "Unique identifier for the user",
},
"session_id": {
"bsonType": "string",
"description": "Identifier for the session",
},
"timestamp": {
"bsonType": "date",
"description": "Timestamp when the chat session started",
},
"messages": {
"bsonType": "array",
"description": "List of chat messages",
"items": {
"bsonType": "object",
"properties": {
"prompt": {
"bsonType": "string",
"description": "User's question or prompt",
},
"response": {
"bsonType": "string",
"description": "Assistant's response",
},
"timestamp": {
"bsonType": "date",
"description": "Timestamp of the message",
},
},
},
},
},
}
# Create the collection with the schema
# db.create_collection("chat_history", validator={"$jsonSchema": chat_history_schema})
chat_history_collection = db["chat_history"]
# Database setup for Research Assistant
# Research Assistant Schema
research_assistant_schema = {
"bsonType": "object",
"required": ["full_name", "password", "email", "courses_assisted"],
"properties": {
"full_name": {
"bsonType": "string",
"description": "Full name of the research assistant",
},
"password": {
"bsonType": "string",
"description": "Hashed password of the research assistant",
},
"email": {
"bsonType": "string",
"description": "Email address of the research assistant",
},
"courses_assisted": {
"bsonType": "array",
"description": "List of courses the research assistant is assisting",
"items": {
"bsonType": "object",
"required": ["course_id"],
"properties": {
"course_id": {
"bsonType": "string",
"description": "ID of the course",
}
},
},
},
},
}
# Create research assistants collection
research_assistants_collection = db["research_assistants"]
# Create indexes
research_assistants_collection.create_index("full_name", unique=True)
research_assistants_collection.create_index("email", unique=True)
# Optional: Sample data insertion function
# def insert_sample_research_assistants():
# sample_research_assistants = [
# {
# "full_name": "John Doe RA",
# "password": generate_password_hash("password123"),
# "email": "[email protected]",
# "courses_assisted": [{"course_id": "CS101"}, {"course_id": "CS102"}],
# }
# ]
# try:
# research_assistants_collection.insert_many(sample_research_assistants)
# print("Sample research assistants inserted successfully!")
# except Exception as e:
# print(f"Error inserting sample research assistants: {e}")
# if __name__ == "__main__":
# insert_sample_analysts()
|