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Create store.py
Browse files- api/store.py +145 -0
api/store.py
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# api/store.py
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from __future__ import annotations
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import json
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import os
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from typing import Dict, Any, List, Optional
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from pathlib import Path
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from api.models import CourseDirectoryItem, Workspace, PersonContact, WorkspaceCourseRef, WorkspaceMember
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DATA_DIR = Path(os.getenv("CLARE_DATA_DIR", "./data"))
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COURSE_FILE = DATA_DIR / "course_directory.json"
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WORKSPACE_FILE = DATA_DIR / "workspaces.json"
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def _ensure_dir():
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DATA_DIR.mkdir(parents=True, exist_ok=True)
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def _read_json(path: Path) -> Optional[Any]:
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if not path.exists():
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return None
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with path.open("r", encoding="utf-8") as f:
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return json.load(f)
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def _write_json(path: Path, obj: Any) -> None:
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_ensure_dir()
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with path.open("w", encoding="utf-8") as f:
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json.dump(obj, f, ensure_ascii=False, indent=2)
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def seed_if_missing() -> None:
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"""
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Provide sane defaults so HF can run out-of-the-box.
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Replace these with your real course list/workspaces later.
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"""
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_ensure_dir()
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if not COURSE_FILE.exists():
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courses = [
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CourseDirectoryItem(
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id="course_ai_001",
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name="Introduction to AI",
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instructor=PersonContact(name="Dr. Smith", email="smith@uni.edu"),
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teachingAssistant=PersonContact(name="Alice", email="alice@uni.edu"),
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).model_dump()
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]
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_write_json(COURSE_FILE, {"items": courses})
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if not WORKSPACE_FILE.exists():
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workspaces = [
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Workspace(
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id="ws_group_ai_g3",
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type="group",
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category="course",
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name="Group Alpha",
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groupNo=3,
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courseId="course_ai_001",
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courseInfo=WorkspaceCourseRef(id="course_ai_001", name="Introduction to AI"),
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members=[
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WorkspaceMember(id="u1", name="Sarah", email="sarah@uni.edu", role="owner"),
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WorkspaceMember(id="u2", name="Bob", email="bob@uni.edu", role="member"),
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],
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).model_dump()
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]
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_write_json(WORKSPACE_FILE, {"items": workspaces})
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def load_courses() -> List[CourseDirectoryItem]:
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seed_if_missing()
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raw = _read_json(COURSE_FILE) or {}
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items = raw.get("items", [])
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out: List[CourseDirectoryItem] = []
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for x in items:
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out.append(CourseDirectoryItem(**x))
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return out
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def save_courses(courses: List[CourseDirectoryItem]) -> None:
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_write_json(COURSE_FILE, {"items": [c.model_dump() for c in courses]})
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def load_workspaces() -> List[Workspace]:
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seed_if_missing()
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raw = _read_json(WORKSPACE_FILE) or {}
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items = raw.get("items", [])
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out: List[Workspace] = []
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for x in items:
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out.append(Workspace(**x))
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return out
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def save_workspaces(workspaces: List[Workspace]) -> None:
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_write_json(WORKSPACE_FILE, {"items": [w.model_dump() for w in workspaces]})
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def enrich_workspace_course_info(workspaces: List[Workspace], courses: List[CourseDirectoryItem]) -> List[Workspace]:
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"""
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Ensure workspace.courseInfo has instructor/TA to satisfy CourseInfoSection fallback.
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Frontend prefers availableCourses, but this makes fallback robust.
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"""
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by_id = {c.id.strip().lower(): c for c in courses}
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by_name = {c.name.strip().lower(): c for c in courses}
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enriched: List[Workspace] = []
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for w in workspaces:
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ws_course = w.courseInfo
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hit: Optional[CourseDirectoryItem] = None
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if w.courseId:
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hit = by_id.get(w.courseId.strip().lower())
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if not hit and ws_course and ws_course.id:
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hit = by_id.get(ws_course.id.strip().lower())
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if not hit and ws_course and ws_course.name:
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hit = by_name.get(ws_course.name.strip().lower())
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if hit:
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w.courseId = w.courseId or hit.id
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w.courseInfo = WorkspaceCourseRef(
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id=hit.id,
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name=hit.name,
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instructor=hit.instructor,
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teachingAssistant=hit.teachingAssistant,
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)
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else:
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# keep whatever exists; CourseInfoSection will show fallback if nothing matches
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w.courseInfo = ws_course
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enriched.append(w)
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return enriched
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def rename_workspace(workspace_id: str, new_name: str) -> Workspace:
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workspaces = load_workspaces()
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found = None
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for w in workspaces:
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if w.id == workspace_id:
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w.name = new_name
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found = w
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break
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if not found:
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raise KeyError(f"workspace not found: {workspace_id}")
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save_workspaces(workspaces)
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return found
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