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6b8bb0d e61da91 6b8bb0d e61da91 6b8bb0d | 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 | """FastAPI entrypoint for the DocuLearn-RAG learning service."""
from __future__ import annotations
import secrets
from typing import Annotated
from fastapi import FastAPI as _FastAPI
from fastapi import File, Header, HTTPException, UploadFile, status
from pydantic import BaseModel, ConfigDict, Field
from starlette.concurrency import run_in_threadpool
from src.config import settings
from src.filters import MetadataFilter, filters_to_dict
from src.indexing import save_and_ingest_pdf
from src.learning import generate_flashcards, generate_quiz
from src.learning import summarize as summarize_learning
from src.monitoring import add_monitoring_route
from src.rag import answer
from src.schemas import FlashcardSet, QuizSet, RagAnswer, Summary
from src.store import list_documents
class StrictRequest(BaseModel):
"""Reject misspelled request fields instead of silently ignoring them."""
model_config = ConfigDict(extra="forbid")
class AskRequest(StrictRequest):
question: str = Field(min_length=1)
k: int | None = Field(default=None, ge=1, le=64)
filters: MetadataFilter | None = None
class SummarizeRequest(StrictRequest):
document: str | None = None
query: str | None = None
filters: MetadataFilter | None = None
k: int | None = Field(default=None, ge=1, le=64)
class QuizRequest(SummarizeRequest):
count: int | None = Field(default=None, ge=1, le=50)
class FlashcardsRequest(SummarizeRequest):
count: int | None = Field(default=None, ge=1, le=100)
class HealthResponse(BaseModel):
status: str
class DocumentInfo(BaseModel):
filename: str
document_id: str
pages: list[int]
page_count: int
chunk_count: int
class UploadResponse(BaseModel):
filename: str
document_id: str
chunks_indexed: int
app = _FastAPI(
title="DocuLearn-RAG API",
description="Grounded Q&A, summaries, quizzes, and flashcards over indexed PDFs.",
version="0.1.0",
)
add_monitoring_route(app)
def _require_api_key(x_api_key: Annotated[str | None, Header()] = None) -> None:
"""Protect data and generation routes when RAG_API_KEY is configured."""
expected = settings.api_key
if expected is None:
return
if x_api_key is None or not secrets.compare_digest(x_api_key, expected):
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Missing or invalid API key.",
)
@app.get("/health", response_model=HealthResponse)
def health() -> HealthResponse:
return HealthResponse(status="ok")
@app.get("/documents", response_model=list[DocumentInfo])
def documents(
x_api_key: Annotated[str | None, Header()] = None,
) -> list[dict[str, object]]:
_require_api_key(x_api_key)
return list_documents()
@app.post("/upload", response_model=UploadResponse)
async def upload(
file: Annotated[UploadFile, File()],
x_api_key: Annotated[str | None, Header()] = None,
) -> dict[str, object]:
_require_api_key(x_api_key)
content = await file.read(settings.max_upload_bytes + 1)
if len(content) > settings.max_upload_bytes:
raise HTTPException(
status_code=status.HTTP_413_REQUEST_ENTITY_TOO_LARGE,
detail=f"PDF exceeds the {settings.max_upload_bytes}-byte upload limit.",
)
try:
return await run_in_threadpool(save_and_ingest_pdf, content, file.filename or "")
except ValueError as exc:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)) from exc
except (OSError, RuntimeError) as exc:
raise HTTPException(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
detail="The document could not be indexed.",
) from exc
@app.post("/ask", response_model=RagAnswer)
def ask(
request: AskRequest,
x_api_key: Annotated[str | None, Header()] = None,
) -> RagAnswer:
_require_api_key(x_api_key)
return answer(
request.question,
k=request.k,
filters=filters_to_dict(request.filters),
)
@app.post("/summarize", response_model=Summary)
def summarize(
request: SummarizeRequest,
x_api_key: Annotated[str | None, Header()] = None,
) -> Summary:
_require_api_key(x_api_key)
return summarize_learning(
document=request.document,
query=request.query,
filters=filters_to_dict(request.filters),
k=request.k,
)
@app.post("/quiz", response_model=QuizSet)
def quiz(
request: QuizRequest,
x_api_key: Annotated[str | None, Header()] = None,
) -> QuizSet:
_require_api_key(x_api_key)
return generate_quiz(
document=request.document,
query=request.query,
filters=filters_to_dict(request.filters),
count=request.count,
k=request.k,
)
@app.post("/flashcards", response_model=FlashcardSet)
def flashcards(
request: FlashcardsRequest,
x_api_key: Annotated[str | None, Header()] = None,
) -> FlashcardSet:
_require_api_key(x_api_key)
return generate_flashcards(
document=request.document,
query=request.query,
filters=filters_to_dict(request.filters),
count=request.count,
k=request.k,
)
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