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from typing import Annotated, Literal
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, ConfigDict, Field
from app.websockets.handlers import get_graph_manager
from app.services.citation_graph import CitationGraphService
from app.services.paper_acquisition import PaperAcquisitionResult, PaperAcquisitionService
from app.services.project_activity import ProjectActivityService
from app.services.recommendation_clarification import (
ClarificationExpiredError,
ClarificationProjectError,
ClarificationStateError,
RecommendationClarification,
RecommendationOutcome,
RecommendationResult,
)
from app.services.recommendation_service import RecommendationService
from app.services.scholar_service import fetch_top_papers
from app.services.paper_metadata import PaperAuthor, PaperDestination
router = APIRouter()
_activity = ProjectActivityService()
class RecommendRequest(BaseModel):
model_config = ConfigDict(extra="forbid", strict=True)
project_id: str = Field(min_length=1, max_length=128)
query: str | None = Field(default=None, max_length=4000)
project_context_enabled: bool = True
selection_text: str | None = Field(default=None, max_length=4000)
class PaperResponse(BaseModel):
model_config = ConfigDict(extra="forbid", strict=True)
candidate_id: str = ""
recommendation_id: str = ""
title: str
authors: str
year: int | None
cited_by: int
url: str
abstract: str = ""
why_recommended: str = ""
based_on: str = ""
source: str = ""
venue: str = ""
doi: str = ""
arxiv_id: str = ""
is_open_access: bool = False
pdf_url: str = ""
provider: str = ""
pdf_provider: str = ""
field_providers: dict[str, str] = Field(default_factory=dict)
resolution_confidence: float = 0.0
semantic_scholar_id: str = ""
openalex_id: str = ""
pmid: str = ""
openreview_id: str = ""
author_details: list[PaperAuthor] = Field(default_factory=list)
reference_count: int = 0
destinations: list[PaperDestination] = Field(default_factory=list)
metadata_quality: str = "sparse"
abstract_status: str = ""
looked_up_at: float = 0.0
error: str = ""
created_at: float = 0.0
can_acquire: bool = False
discovery_intent: str = "general"
discovery_modes: list[str] = Field(default_factory=list)
discovery_rank: int = 0
year_bucket: int | None = None
year_bucket_rank: float | None = None
rank_factors: dict[str, float] = Field(default_factory=dict)
matched_queries: list[str] = Field(default_factory=list)
seed_titles: list[str] = Field(default_factory=list)
domain_anchors: list[str] = Field(default_factory=list)
search_queries: list[str] = Field(default_factory=list)
seed_relation: str = ""
seed_relative_score: float = 0.0
anchor_hits: list[str] = Field(default_factory=list)
citation_verified: bool = False
verified_citation_direction: str = ""
verified_seed_openalex_id: str = ""
class RecommendationCoverageResponse(BaseModel):
requested: int
returned: int
complete: bool
message: str | None = None
class ClarificationChoiceResponse(BaseModel):
id: str
label: str
class RecommendationResponse(BaseModel):
kind: Literal["recommendations"] = "recommendations"
papers: list[PaperResponse]
assumptions: list[str] = Field(default_factory=list)
coverage: RecommendationCoverageResponse
class ClarificationRequiredResponse(BaseModel):
kind: Literal["clarification_required"] = "clarification_required"
clarification_token: str
question: str
choices: list[ClarificationChoiceResponse]
expires_at: datetime
RecommendationHttpOutcome = Annotated[
RecommendationResponse | ClarificationRequiredResponse,
Field(discriminator="kind"),
]
class RecommendationContinuationRequest(BaseModel):
model_config = ConfigDict(extra="forbid", strict=True)
project_id: str = Field(min_length=1, max_length=128)
clarification_token: str = Field(min_length=16, max_length=256)
answer: str = Field(min_length=1, max_length=1000)
selection_text: str | None = Field(default=None, max_length=4000)
class AddRecommendationRequest(BaseModel):
model_config = ConfigDict(extra="forbid", strict=True)
project_id: str = Field(min_length=1, max_length=128)
def _recommendation_context(project_id: str, enabled: bool):
if enabled:
graph = get_graph_manager()
nodes = graph.list_nodes(project_id)
labels = [node.label for node in sorted(nodes, key=lambda item: item.depth)[:4]]
return CitationGraphService().load(project_id), labels
from app.services.citation_graph import CitationGraph
return CitationGraph(project_id=project_id), []
def _http_outcome(outcome: RecommendationOutcome) -> RecommendationHttpOutcome:
if isinstance(outcome, RecommendationClarification):
return ClarificationRequiredResponse(
clarification_token=outcome.clarification_token,
question=outcome.question,
choices=[ClarificationChoiceResponse(id=choice.id, label=choice.label) for choice in outcome.choices],
expires_at=outcome.expires_at,
)
return RecommendationResponse(
papers=[PaperResponse.model_validate(paper) for paper in outcome.papers],
assumptions=outcome.assumptions,
coverage=RecommendationCoverageResponse.model_validate(outcome.coverage.model_dump()),
)
@router.post("/recommend", response_model=RecommendationHttpOutcome)
async def recommend_papers(req: RecommendRequest):
if not CitationGraphService.is_valid_project_id(req.project_id):
raise HTTPException(400, "Invalid project id")
citation_graph, graph_labels = _recommendation_context(req.project_id, req.project_context_enabled)
service = RecommendationService(fetcher=fetch_top_papers)
_activity.record(req.project_id, "recommendation", "Paper recommendation planning", status="running", metadata={"query": req.query or ""})
outcome = await service.recommend_or_clarify(
project_id=req.project_id,
query=req.query or "",
citation_graph=citation_graph,
graph_labels=graph_labels,
use_project_context=req.project_context_enabled,
selection_text=req.selection_text,
)
if isinstance(outcome, RecommendationClarification):
_activity.record(req.project_id, "recommendation", "Paper discovery is awaiting one clarification", metadata={"question": outcome.question})
else:
_activity.record(req.project_id, "recommendation", "Paper recommendations ready", metadata={"count": len(outcome.papers), "complete": outcome.coverage.complete})
return _http_outcome(outcome)
@router.post("/recommend/clarify", response_model=RecommendationHttpOutcome)
async def continue_recommendation(req: RecommendationContinuationRequest):
if not CitationGraphService.is_valid_project_id(req.project_id):
raise HTTPException(400, "Invalid project id")
service = RecommendationService(fetcher=fetch_top_papers)
try:
# Project-context preference is persisted in the pending token and applied by the service.
citation_graph, graph_labels = _recommendation_context(req.project_id, True)
outcome: RecommendationResult = await service.continue_after_clarification(
project_id=req.project_id,
token=req.clarification_token,
answer=req.answer,
citation_graph=citation_graph,
graph_labels=graph_labels,
selection_text=req.selection_text,
)
except ClarificationExpiredError as exc:
raise HTTPException(410, str(exc)) from exc
except ClarificationProjectError as exc:
raise HTTPException(403, str(exc)) from exc
except ClarificationStateError as exc:
raise HTTPException(404, str(exc)) from exc
_activity.record(req.project_id, "recommendation", "Paper discovery resumed after clarification", metadata={"count": len(outcome.papers), "complete": outcome.coverage.complete})
return _http_outcome(outcome)
@router.post("/recommendations/{recommendation_id}/add-to-project", response_model=PaperAcquisitionResult)
async def add_recommendation_to_project(recommendation_id: str, req: AddRecommendationRequest):
if not CitationGraphService.is_valid_project_id(req.project_id):
raise HTTPException(400, "Invalid project id")
paper = RecommendationService(fetcher=fetch_top_papers).get_cached(req.project_id, recommendation_id)
if paper is None:
raise HTTPException(404, "Recommendation not found")
return await PaperAcquisitionService().acquire(req.project_id, paper)
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