Feature/personalized learning path#76
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WalkthroughA new design document for an AI-driven personalized learning path feature has been added. Additionally, a FastAPI backend service for personalization is introduced, including data models and endpoints to handle user learning events and retrieve user-specific roadmaps. The service uses in-memory data structures for event storage and roadmap retrieval. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant API as Personalization Service (FastAPI)
participant DB as In-Memory Store
User->>API: POST /events (Event data)
API->>DB: Append event to events list
API-->>User: Confirmation with total events
User->>API: GET /user/{user_id}/path
API->>DB: Retrieve roadmap for user_id
alt Roadmap exists
API-->>User: Return Roadmap
else No roadmap
API-->>User: 404 error
end
Estimated code review effort🎯 2 (Simple) | ⏱️ ~8 minutes Poem
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Actionable comments posted: 7
🧹 Nitpick comments (5)
docs/personalization_design.md (1)
23-35: MVP scope: add success metrics, non-goals, and privacy considerationsAdding these improves alignment and reduces churn later.
- Success metrics: e.g., weekly active days ↑, completion rate of recommended tasks ↑, accuracy uplift on weak topics.
- Non-goals: clarify what’s not covered in MVP (e.g., LLM-generated explanations, multi-device sync).
- Privacy/PII: event retention policy, anonymization strategy, and user consent surface.
services/personalization/app.py (4)
39-41: Type the in-memory store for events; store models (or use model_dump for dicts)Typed stores reduce mistakes. If you prefer dicts, use model_dump() for Pydantic v2.
Option A (store models):
-mock_events = [] +mock_events: list[Event] = []And update the append call (see Lines 60-63).
45-54: Nit: “topics” mixing topic and subtopicThe sample uses ["arrays", "two-pointer"]. Consider either:
- a separate subtopics list, or
- use a structured object: {topic, subtopics: []}
Example:
- topics: ["arrays"]
- subtopics: ["two-pointer"]
Or:- topics: [{ "topic": "arrays", "subtopics": ["two-pointer"] }]
65-69: Endpoint naming and error messagesMinor API ergonomics.
- Consider plural resource naming: GET /users/{user_id}/roadmap
- Keep error details consistent with API style guide (e.g., use a code field: { "code": "ROADMAP_NOT_FOUND", "message": "..." })
1-69: Auth, CORS, and persistence (future)For MVP this is okay, but calling out next steps to avoid surprises.
- Add CORS if this will be called by a web frontend.
- Add basic auth/token checks before accepting events.
- Persist events/roadmaps to a store (SQLite/Postgres) to avoid memory loss on restart or multi-worker divergences.
- Add simple unit tests: POST /events happy path and validation failures; GET roadmap found/missing.
Happy to scaffold these if you want me to open follow-up issues.
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📒 Files selected for processing (2)
docs/personalization_design.md(1 hunks)services/personalization/app.py(1 hunks)
🧰 Additional context used
🪛 Ruff (0.12.2)
services/personalization/app.py
1-2: SyntaxError: Expected an expression
4-4: SyntaxError: Got unexpected token `
4-4: SyntaxError: Got unexpected token `
4-4: SyntaxError: Got unexpected token `
| \## Data Schema | ||
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| \*\*Events\*\* | ||
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| ```json | ||
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| { | ||
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| "user\_id": "string", | ||
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| "activity\_type": "quiz|coding|mock", | ||
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| "topic": "arrays|dp|graphs|system-design", | ||
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| "subtopic": "two-pointer", | ||
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| "timestamp": "ISO8601", | ||
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| "accuracy": 0.85, | ||
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| "time\_taken\_seconds": 120, | ||
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| "attempts": 1, | ||
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| "difficulty": "easy|medium|hard", | ||
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| "exercise\_id": "string" | ||
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| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Event schema: add constraints and a few operational fields
To make downstream validation and analytics simpler, specify constraints and add a few commonly used fields.
Recommended refinements:
- Constraints:
- accuracy: float in [0.0, 1.0]
- time_taken_seconds: non-negative int
- attempts: int ≥ 1
- difficulty: enum {easy, medium, hard}
- activity_type: enum {quiz, coding, mock}
- Additional fields:
- event_id (string UUID)
- session_id (string)
- source (e.g., web/app)
- platform (e.g., ios/android/web)
- language (e.g., python/java)
- version (client build/app version)
If you want, I can update the sample JSON here and mirror the same constraints in the FastAPI/Pydantic models.
🤖 Prompt for AI Agents
In docs/personalization_design.md around lines 37 to 65, the event schema lacks
explicit constraints and some useful operational fields. Update the JSON schema
to specify constraints such as accuracy being a float between 0.0 and 1.0,
time_taken_seconds as a non-negative integer, attempts as an integer greater or
equal to 1, and enums for difficulty and activity_type. Also, add additional
fields like event_id (UUID string), session_id, source, platform, language, and
version to improve validation and analytics clarity.
| ```json | ||
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| { | ||
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| "user\_id": "string", | ||
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| "activity\_type": "quiz|coding|mock", | ||
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| "topic": "arrays|dp|graphs|system-design", | ||
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| "subtopic": "two-pointer", | ||
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| "timestamp": "ISO8601", | ||
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| "accuracy": 0.85, | ||
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| "time\_taken\_seconds": 120, | ||
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| "attempts": 1, | ||
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| "difficulty": "easy|medium|hard", | ||
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| "exercise\_id": "string" | ||
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| } |
There was a problem hiding this comment.
Fix: Close the JSON code fence to avoid broken Markdown rendering
The JSON example block is opened (Line 41) but not closed, which will break rendering for everything that follows.
Apply this diff to close the code fence:
"exercise_id": "string"
}
-
+```📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| ```json | |
| { | |
| "user\_id": "string", | |
| "activity\_type": "quiz|coding|mock", | |
| "topic": "arrays|dp|graphs|system-design", | |
| "subtopic": "two-pointer", | |
| "timestamp": "ISO8601", | |
| "accuracy": 0.85, | |
| "time\_taken\_seconds": 120, | |
| "attempts": 1, | |
| "difficulty": "easy|medium|hard", | |
| "exercise\_id": "string" | |
| } |
🤖 Prompt for AI Agents
In docs/personalization_design.md between lines 41 and 65, the JSON code block
is opened but not closed, causing broken Markdown rendering. Fix this by adding
a closing triple backtick (```) after the JSON example to properly close the
code fence.
| --- | ||
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| ## **2. Backend Starter (FastAPI)** — `services/personalization/app.py` | ||
| ```python |
There was a problem hiding this comment.
Critical: File contains Markdown wrappers (front-matter and code fences) and won’t import
There’s ---, a Markdown header, and a ```python fence inside a .py file, which causes SyntaxError (matches the static analysis hints).
Apply this diff to strip Markdown from the Python file:
----
-
-## **2. Backend Starter (FastAPI)** — `services/personalization/app.py`
-```python
+"""
+Personalization Service (FastAPI)
+"""
@@
- return mock_roadmaps[user_id]
-```
+ return mock_roadmaps[user_id]Also applies to: 69-69
🧰 Tools
🪛 Ruff (0.12.2)
1-2: SyntaxError: Expected an expression
4-4: SyntaxError: Got unexpected token `
4-4: SyntaxError: Got unexpected token `
4-4: SyntaxError: Got unexpected token `
🤖 Prompt for AI Agents
In services/personalization/app.py at the very beginning (lines 1 to 4) and at
line 69, remove all Markdown-specific syntax including the front-matter '---'
and the triple backticks ```python and ``` that are wrapping the Python code.
These Markdown wrappers cause syntax errors in the Python file. Ensure the file
contains only valid Python code without any Markdown formatting.
| --- | ||
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| ## **2. Backend Starter (FastAPI)** — `services/personalization/app.py` | ||
| ```python | ||
| from fastapi import FastAPI, HTTPException | ||
| from pydantic import BaseModel | ||
| from typing import List | ||
| from datetime import datetime | ||
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| app = FastAPI(title="Personalization Service") | ||
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| # ---- Schemas ---- | ||
| class Event(BaseModel): | ||
| user_id: str | ||
| activity_type: str | ||
| topic: str | ||
| subtopic: str | ||
| timestamp: datetime | ||
| accuracy: float | ||
| time_taken_seconds: int | ||
| attempts: int | ||
| difficulty: str | ||
| exercise_id: str | ||
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| class Task(BaseModel): | ||
| description: str | ||
| completed: bool = False | ||
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| class WeekPlan(BaseModel): | ||
| week_no: int | ||
| topics: List[str] | ||
| tasks: List[Task] | ||
| goal: str | ||
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| class Roadmap(BaseModel): | ||
| user_id: str | ||
| weeks: List[WeekPlan] | ||
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| # ---- Mock Database ---- | ||
| mock_events = [] | ||
| mock_roadmaps = { | ||
| "u1": Roadmap( | ||
| user_id="u1", | ||
| weeks=[ | ||
| WeekPlan( | ||
| week_no=1, | ||
| topics=["arrays", "two-pointer"], | ||
| tasks=[ | ||
| Task(description="Solve 3 practice problems"), | ||
| Task(description="Watch 2 concept videos"), | ||
| Task(description="Take revision quiz") | ||
| ], | ||
| goal="Reach avg_accuracy ≥ 0.75" | ||
| ) | ||
| ] | ||
| ) | ||
| } | ||
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| # ---- Endpoints ---- | ||
| @app.post("/events") | ||
| def add_event(event: Event): | ||
| mock_events.append(event.dict()) | ||
| return {"message": "Event recorded", "total_events": len(mock_events)} | ||
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| @app.get("/user/{user_id}/path", response_model=Roadmap) | ||
| def get_roadmap(user_id: str): | ||
| if user_id not in mock_roadmaps: | ||
| raise HTTPException(status_code=404, detail="No roadmap found for this user") | ||
| return mock_roadmaps[user_id] No newline at end of file |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Verify and fix syntax errors flagged by static analysis
Confirm that the file no longer contains markdown fences/backticks and parses as Python.
Run:
🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "Detecting markdown fences in services/personalization/app.py"
rg -n '^(---|```)' services/personalization/app.py || echo "No markdown fences detected."
echo "AST-parse the file to catch syntax errors"
python - << 'PY'
import ast, sys, pathlib
p = pathlib.Path("services/personalization/app.py")
try:
ast.parse(p.read_text(encoding="utf-8"))
print("AST parse OK: services/personalization/app.py")
except SyntaxError as e:
print("SyntaxError:", e)
sys.exit(1)
PYLength of output: 373
Remove Markdown Fences Causing Syntax Errors
The file services/personalization/app.py still contains Markdown fences that break Python parsing. Please remove these lines (and any closing ``` fence) so the file is valid Python:
• services/personalization/app.py:1
– Remove the leading ---
• services/personalization/app.py:4
– Remove the opening ````python```
After stripping out all backticks/markdown fences, re-run your static analysis or ast.parse check to confirm there are no remaining syntax errors.
🧰 Tools
🪛 Ruff (0.12.2)
1-2: SyntaxError: Expected an expression
4-4: SyntaxError: Got unexpected token `
4-4: SyntaxError: Got unexpected token `
4-4: SyntaxError: Got unexpected token `
🤖 Prompt for AI Agents
In services/personalization/app.py at the beginning of the file (lines 1 to 4),
remove the leading markdown fences including the line with "---" and the opening
"```python" fence. Also ensure to remove any closing "```" fence if present
later in the file. This will make the file valid Python code and prevent syntax
errors during parsing or static analysis.
| from pydantic import BaseModel | ||
| from typing import List | ||
| from datetime import datetime | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Strengthen imports for validation and enums
Use Pydantic Field for constraints and Enum for typed fields.
-from pydantic import BaseModel
-from typing import List
-from datetime import datetime
+from pydantic import BaseModel, Field
+from typing import List
+from datetime import datetime
+from enum import Enum📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| from pydantic import BaseModel | |
| from typing import List | |
| from datetime import datetime | |
| from pydantic import BaseModel, Field | |
| from typing import List | |
| from datetime import datetime | |
| from enum import Enum |
🤖 Prompt for AI Agents
In services/personalization/app.py around lines 6 to 9, the imports should be
enhanced by adding Pydantic's Field to enable validation constraints on model
fields and importing Enum from the enum module to define typed enumerations.
Update the import statements to include these for stronger data validation and
clearer type definitions.
| class Event(BaseModel): | ||
| user_id: str | ||
| activity_type: str | ||
| topic: str | ||
| subtopic: str | ||
| timestamp: datetime | ||
| accuracy: float | ||
| time_taken_seconds: int | ||
| attempts: int | ||
| difficulty: str | ||
| exercise_id: str | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Schema hardening: enums and field constraints for Event
Constrain inputs to reduce bad data. Also future-proof for Pydantic v2 semantics.
-class Event(BaseModel):
- user_id: str
- activity_type: str
- topic: str
- subtopic: str
- timestamp: datetime
- accuracy: float
- time_taken_seconds: int
- attempts: int
- difficulty: str
- exercise_id: str
+class ActivityType(str, Enum):
+ quiz = "quiz"
+ coding = "coding"
+ mock = "mock"
+
+
+class Difficulty(str, Enum):
+ easy = "easy"
+ medium = "medium"
+ hard = "hard"
+
+
+class Event(BaseModel):
+ user_id: str
+ activity_type: ActivityType
+ topic: str
+ subtopic: str
+ timestamp: datetime
+ accuracy: float = Field(ge=0.0, le=1.0)
+ time_taken_seconds: int = Field(ge=0)
+ attempts: int = Field(ge=1)
+ difficulty: Difficulty
+ exercise_id: str📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| class Event(BaseModel): | |
| user_id: str | |
| activity_type: str | |
| topic: str | |
| subtopic: str | |
| timestamp: datetime | |
| accuracy: float | |
| time_taken_seconds: int | |
| attempts: int | |
| difficulty: str | |
| exercise_id: str | |
| class ActivityType(str, Enum): | |
| quiz = "quiz" | |
| coding = "coding" | |
| mock = "mock" | |
| class Difficulty(str, Enum): | |
| easy = "easy" | |
| medium = "medium" | |
| hard = "hard" | |
| class Event(BaseModel): | |
| user_id: str | |
| activity_type: ActivityType | |
| topic: str | |
| subtopic: str | |
| timestamp: datetime | |
| accuracy: float = Field(ge=0.0, le=1.0) | |
| time_taken_seconds: int = Field(ge=0) | |
| attempts: int = Field(ge=1) | |
| difficulty: Difficulty | |
| exercise_id: str |
🤖 Prompt for AI Agents
In services/personalization/app.py around lines 13 to 24, the Event model fields
lack constraints and enums, which can lead to invalid data. Define enums for
fields like activity_type, difficulty, and possibly topic/subtopic if values are
known. Add field constraints such as min/max lengths for strings, positive
values for numeric fields, and use Pydantic's Field with appropriate validators.
This will harden the schema and prepare it for Pydantic v2 compatibility.
| @app.post("/events") | ||
| def add_event(event: Event): | ||
| mock_events.append(event.dict()) | ||
| return {"message": "Event recorded", "total_events": len(mock_events)} |
There was a problem hiding this comment.
🛠️ Refactor suggestion
POST /events: return 201 and prefer model_dump() in Pydantic v2
Status 201 is more accurate for creation; model_dump avoids v2 deprecation warnings.
If you chose “store models” (Option A above):
-@app.post("/events")
-def add_event(event: Event):
- mock_events.append(event.dict())
- return {"message": "Event recorded", "total_events": len(mock_events)}
+@app.post("/events", status_code=201)
+def add_event(event: Event):
+ mock_events.append(event)
+ return {"message": "Event recorded", "total_events": len(mock_events)}If you prefer storing dicts:
-@app.post("/events")
-def add_event(event: Event):
- mock_events.append(event.dict())
+@app.post("/events", status_code=201)
+def add_event(event: Event):
+ mock_events.append(event.model_dump())
return {"message": "Event recorded", "total_events": len(mock_events)}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| @app.post("/events") | |
| def add_event(event: Event): | |
| mock_events.append(event.dict()) | |
| return {"message": "Event recorded", "total_events": len(mock_events)} | |
| @app.post("/events", status_code=201) | |
| def add_event(event: Event): | |
| mock_events.append(event) | |
| return {"message": "Event recorded", "total_events": len(mock_events)} |
| @app.post("/events") | |
| def add_event(event: Event): | |
| mock_events.append(event.dict()) | |
| return {"message": "Event recorded", "total_events": len(mock_events)} | |
| @app.post("/events", status_code=201) | |
| def add_event(event: Event): | |
| mock_events.append(event.model_dump()) | |
| return {"message": "Event recorded", "total_events": len(mock_events)} |
🤖 Prompt for AI Agents
In services/personalization/app.py around lines 60 to 63, the POST /events
endpoint should return HTTP status 201 to indicate resource creation, and use
event.model_dump() instead of event.dict() to comply with Pydantic v2 standards
and avoid deprecation warnings. Update the return statement to include status
code 201 and replace event.dict() with event.model_dump() when appending to
mock_events.
|
Hey @sneha12jyoti , |
2 participants
added event schema and design doc for ai driven learning path
Summary by CodeRabbit
New Features
Documentation