Zareian
ac93e17305
Self-contained app; wired into settings/urls in the next commit. Data
stays in the parallel team's live Qdrant — nothing is copied into our DB.
apps.py
- RagConfig.
models.py
- LessonChunk: DB-of-record for one summarized lesson chunk
(original_text + summary + embedding_vector) mirrored as a single
Qdrant point; loose lesson_id/grade_id ints, no cross-app FK.
LessonChunkImage for future multimodal lessons.
migrations/0001_initial.py
- initial tables for the two models.
services/clients.py
- lazy, lru_cache'd OpenAI + Qdrant clients (Rag_backend builds them at
import time and crashes without keys). RagNotConfigured raised when a
key/lib is missing; Qdrant client uses check_compatibility=False for
the 1.19-client / 1.17-server minor version gap.
services/config.py
- rag_is_configured(), collection-name template, grade-title resolution
(RAG_GRADE_TITLE_OVERRIDES -> content.Grade.title), retrieval top-k.
services/known_collections.py
- exact live Qdrant catalog: 6 collection names, math chapter-number ->
exact "فصل N: ..." string tables per (subject, grade), and the
علوم/اجتماعی lesson-number -> title maps. filter_key_for_subject()
picks `chapter` for math, `lesson_number` otherwise;
resolve_math_chapter() maps a plain chapter number (Persian or Latin
digits) to the stored string.
services/embedding.py
- embed_text() pinned to OPENAI_EMBEDDING_MODEL (text-embedding-3-small,
1536d) so vectors match the other team's existing collections.
services/chunking.py
- split_text_into_chunks(), summarize_chunk() (gpt-4o-mini, JSON out);
plain exceptions instead of ninja HttpError.
services/qdrant_store.py
- ensure_collection(), upsert_points(), search(): the lesson filter
matches the value both as str and native, since Qdrant stores
lesson_number as int and chapter as string.
services/retrieval.py
- resolve_target() -> (collection, filter_key, filter_value), reused by
the cache key and debug block.
- retrieve_context() -> (chunks, meta): embed -> Qdrant search scoped to
one lesson/chapter -> top-k. Math payloads (no `summary`) fall back to
generalSolution/problem/solution; a 404 collection returns empty.
services/generation.py
- generate_answer() and stream_answer() (token iterator for SSE);
context-grounded Persian prompt that explains from retrieved text
rather than refusing.
services/pdf.py
- textbook PDF -> page images -> gpt-4o vision problem-type extraction
(adapted from Rag_backend mathapp); returns dicts, no on-disk JSON.
pymupdf/pdf2image optional — missing libs raise RagNotConfigured.
services/ingest.py
- ingest_text() / ingest_pdf(): chunk -> summarize -> embed -> persist
LessonChunk + upsert Qdrant, in one transaction.
services/answer_cache.py
- short-TTL cache of the final answer keyed by
sha1(collection | filter_value | normalized-question).
services/tutor.py
- thin answer_question() (retrieve -> generate) for direct callers.
serializers.py, urls.py, views.py
- POST /api/rag/ingest/text, POST /api/rag/ingest/pdf (HasInternalServiceKey,
throttle scope rag_ingest), GET /api/rag/chunks review list.
RagProviderUnavailable -> clean 503.
admin.py
- LessonChunk admin with an inline for its images.
management/commands/rag_catalog.py
- read-only live Qdrant listing (--values, --json); never writes.
tests.py
- mocked-client tests: ask-with-retrieval, ingest, SSE stream, answer
cache, and rag_is_configured() gating.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
51 lines
2.2 KiB
Python
51 lines
2.2 KiB
Python
# Generated by Django 5.2.17 on 2026-08-28 18:56
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import django.db.models.deletion
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import uuid
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from django.db import migrations, models
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class Migration(migrations.Migration):
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initial = True
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dependencies = [
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]
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operations = [
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migrations.CreateModel(
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name='LessonChunk',
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fields=[
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('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
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('lesson_id', models.IntegerField(db_index=True)),
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('grade_id', models.IntegerField(blank=True, null=True)),
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('subject', models.CharField(max_length=100)),
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('lesson_number', models.IntegerField()),
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('chapter', models.IntegerField(blank=True, null=True)),
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('order', models.PositiveIntegerField()),
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('title', models.CharField(max_length=255)),
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('original_text', models.TextField()),
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('summary', models.TextField()),
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('embedding_vector', models.JSONField(blank=True, null=True)),
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('collection', models.CharField(db_index=True, max_length=200)),
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('qdrant_point_id', models.UUIDField(default=uuid.uuid4, editable=False)),
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('created_at', models.DateTimeField(auto_now_add=True)),
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],
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options={
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'ordering': ['lesson_id', 'order'],
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'indexes': [models.Index(fields=['subject', 'lesson_number'], name='rag_lessonc_subject_73ff32_idx')],
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'constraints': [models.UniqueConstraint(fields=('collection', 'qdrant_point_id'), name='uniq_lesson_chunk_qdrant_point')],
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},
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),
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migrations.CreateModel(
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name='LessonChunkImage',
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fields=[
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('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
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('img_url', models.TextField()),
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('description', models.TextField(blank=True)),
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('created_at', models.DateTimeField(auto_now_add=True)),
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('chunk', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='images', to='rag.lessonchunk')),
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],
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),
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]
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