decompose application.py into enrichment, scholar processing, run completion

This commit is contained in:
Justin Visser 2026-02-27 14:19:39 +01:00
parent 9a7fa5004e
commit 6379c97e90
28 changed files with 2982 additions and 2576 deletions

View file

@ -2,11 +2,12 @@ from __future__ import annotations
from fastapi import APIRouter
from app.api.routers import admin, admin_dbops, auth, publications, runs, scholars, settings
from app.api.routers import admin, admin_dbops, admin_settings, auth, publications, runs, scholars, settings
router = APIRouter(prefix="/api/v1")
router.include_router(auth.router)
router.include_router(admin.router)
router.include_router(admin_settings.router)
router.include_router(admin_dbops.router)
router.include_router(scholars.router)
router.include_router(settings.router)

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@ -0,0 +1,104 @@
from __future__ import annotations
import logging
from fastapi import APIRouter, Depends, Request
from app.api.deps import get_api_admin_user
from app.api.errors import ApiException
from app.api.responses import success_payload
from app.api.schemas import (
AdminScholarHttpSettingsEnvelope,
AdminScholarHttpSettingsUpdateRequest,
)
from app.db.models import User
from app.logging_utils import structured_log
from app.settings import settings
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/admin/settings", tags=["api-admin-settings"])
_MAX_USER_AGENT_LENGTH = 512
_MAX_ACCEPT_LANGUAGE_LENGTH = 128
_MAX_COOKIE_LENGTH = 8192
def _normalize_header_value(value: str, *, field_name: str, max_length: int) -> str:
normalized = value.strip()
if len(normalized) > max_length:
raise ApiException(
status_code=400,
code="invalid_admin_setting",
message=f"{field_name} must be {max_length} characters or fewer.",
)
return normalized
def _serialize_scholar_http_settings() -> dict[str, object]:
return {
"user_agent": settings.scholar_http_user_agent,
"rotate_user_agent": bool(settings.scholar_http_rotate_user_agent),
"accept_language": settings.scholar_http_accept_language,
"cookie": settings.scholar_http_cookie,
}
def _apply_scholar_http_settings(payload: AdminScholarHttpSettingsUpdateRequest) -> None:
user_agent = _normalize_header_value(
payload.user_agent,
field_name="user_agent",
max_length=_MAX_USER_AGENT_LENGTH,
)
accept_language = _normalize_header_value(
payload.accept_language,
field_name="accept_language",
max_length=_MAX_ACCEPT_LANGUAGE_LENGTH,
)
cookie = _normalize_header_value(
payload.cookie,
field_name="cookie",
max_length=_MAX_COOKIE_LENGTH,
)
object.__setattr__(settings, "scholar_http_user_agent", user_agent)
object.__setattr__(settings, "scholar_http_rotate_user_agent", bool(payload.rotate_user_agent))
object.__setattr__(settings, "scholar_http_accept_language", accept_language)
object.__setattr__(settings, "scholar_http_cookie", cookie)
@router.get(
"/scholar-http",
response_model=AdminScholarHttpSettingsEnvelope,
)
async def get_scholar_http_settings(
request: Request,
admin_user: User = Depends(get_api_admin_user),
):
structured_log(
logger,
"info",
"api.admin.settings.scholar_http_read",
admin_user_id=int(admin_user.id),
)
return success_payload(request, data=_serialize_scholar_http_settings())
@router.put(
"/scholar-http",
response_model=AdminScholarHttpSettingsEnvelope,
)
async def update_scholar_http_settings(
payload: AdminScholarHttpSettingsUpdateRequest,
request: Request,
admin_user: User = Depends(get_api_admin_user),
):
_apply_scholar_http_settings(payload)
structured_log(
logger,
"info",
"api.admin.settings.scholar_http_updated",
admin_user_id=int(admin_user.id),
rotate_user_agent=bool(settings.scholar_http_rotate_user_agent),
user_agent_set=bool(settings.scholar_http_user_agent.strip()),
cookie_set=bool(settings.scholar_http_cookie.strip()),
)
return success_payload(request, data=_serialize_scholar_http_settings())

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@ -1,945 +0,0 @@
from __future__ import annotations
from datetime import datetime
from typing import Any, Literal
from pydantic import BaseModel, ConfigDict, Field, model_validator
class ApiMeta(BaseModel):
request_id: str | None = None
model_config = ConfigDict(extra="forbid")
class ApiErrorData(BaseModel):
code: str
message: str
details: Any | None = None
model_config = ConfigDict(extra="forbid")
class ApiErrorEnvelope(BaseModel):
error: ApiErrorData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class MessageData(BaseModel):
message: str
model_config = ConfigDict(extra="forbid")
class MessageEnvelope(BaseModel):
data: MessageData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class SessionUserData(BaseModel):
id: int
email: str
is_admin: bool
is_active: bool
model_config = ConfigDict(extra="forbid")
class AuthMeData(BaseModel):
authenticated: bool
csrf_token: str
user: SessionUserData
model_config = ConfigDict(extra="forbid")
class AuthMeEnvelope(BaseModel):
data: AuthMeData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class CsrfBootstrapData(BaseModel):
csrf_token: str
authenticated: bool
model_config = ConfigDict(extra="forbid")
class CsrfBootstrapEnvelope(BaseModel):
data: CsrfBootstrapData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class LoginRequest(BaseModel):
email: str
password: str
model_config = ConfigDict(extra="forbid")
class LoginData(BaseModel):
authenticated: bool
csrf_token: str
user: SessionUserData
model_config = ConfigDict(extra="forbid")
class LoginEnvelope(BaseModel):
data: LoginData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ChangePasswordRequest(BaseModel):
current_password: str
new_password: str
confirm_password: str
model_config = ConfigDict(extra="forbid")
class ScholarItemData(BaseModel):
id: int
scholar_id: str
display_name: str | None
profile_image_url: str | None
profile_image_source: str
is_enabled: bool
baseline_completed: bool
last_run_dt: datetime | None
last_run_status: str | None
model_config = ConfigDict(extra="forbid")
class ScholarsListData(BaseModel):
scholars: list[ScholarItemData]
model_config = ConfigDict(extra="forbid")
class ScholarsListEnvelope(BaseModel):
data: ScholarsListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ScholarCreateRequest(BaseModel):
scholar_id: str
profile_image_url: str | None = None
model_config = ConfigDict(extra="forbid")
class ScholarEnvelope(BaseModel):
data: ScholarItemData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ScholarSearchCandidateData(BaseModel):
scholar_id: str
display_name: str
affiliation: str | None
email_domain: str | None
cited_by_count: int | None
interests: list[str] = Field(default_factory=list)
profile_url: str
profile_image_url: str | None
model_config = ConfigDict(extra="forbid")
class ScholarSearchData(BaseModel):
query: str
state: str
state_reason: str
action_hint: str | None = None
candidates: list[ScholarSearchCandidateData]
warnings: list[str] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class ScholarSearchEnvelope(BaseModel):
data: ScholarSearchData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ScholarImageUrlUpdateRequest(BaseModel):
image_url: str
model_config = ConfigDict(extra="forbid")
class ScholarExportItemData(BaseModel):
scholar_id: str
display_name: str | None = None
is_enabled: bool = True
profile_image_override_url: str | None = None
model_config = ConfigDict(extra="forbid")
class PublicationExportItemData(BaseModel):
scholar_id: str
cluster_id: str | None = None
fingerprint_sha256: str | None = None
title: str
year: int | None = None
citation_count: int = 0
author_text: str | None = None
venue_text: str | None = None
pub_url: str | None = None
pdf_url: str | None = None
is_read: bool = False
model_config = ConfigDict(extra="forbid")
class DataExportData(BaseModel):
schema_version: int
exported_at: str
scholars: list[ScholarExportItemData]
publications: list[PublicationExportItemData]
model_config = ConfigDict(extra="forbid")
class DataExportEnvelope(BaseModel):
data: DataExportData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class DataImportRequest(BaseModel):
schema_version: int | None = None
scholars: list[ScholarExportItemData] = Field(default_factory=list)
publications: list[PublicationExportItemData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class DataImportResultData(BaseModel):
scholars_created: int
scholars_updated: int
publications_created: int
publications_updated: int
links_created: int
links_updated: int
skipped_records: int
model_config = ConfigDict(extra="forbid")
class DataImportEnvelope(BaseModel):
data: DataImportResultData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class RunListItemData(BaseModel):
id: int
trigger_type: str
status: str
start_dt: datetime
end_dt: datetime | None
scholar_count: int
new_publication_count: int
failed_count: int
partial_count: int
model_config = ConfigDict(extra="forbid")
class RunsListData(BaseModel):
runs: list[RunListItemData]
safety_state: ScrapeSafetyStateData
model_config = ConfigDict(extra="forbid")
class RunsListEnvelope(BaseModel):
data: RunsListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class RunSummaryData(BaseModel):
succeeded_count: int
failed_count: int
partial_count: int
failed_state_counts: dict[str, int] = Field(default_factory=dict)
failed_reason_counts: dict[str, int] = Field(default_factory=dict)
scrape_failure_counts: dict[str, int] = Field(default_factory=dict)
retry_counts: dict[str, int] = Field(default_factory=dict)
alert_thresholds: dict[str, int] = Field(default_factory=dict)
alert_flags: dict[str, bool] = Field(default_factory=dict)
model_config = ConfigDict(extra="forbid")
class ScrapeSafetyCountersData(BaseModel):
consecutive_blocked_runs: int = 0
consecutive_network_runs: int = 0
cooldown_entry_count: int = 0
blocked_start_count: int = 0
last_blocked_failure_count: int = 0
last_network_failure_count: int = 0
last_evaluated_run_id: int | None = None
model_config = ConfigDict(extra="forbid")
class ScrapeSafetyStateData(BaseModel):
cooldown_active: bool
cooldown_reason: str | None = None
cooldown_reason_label: str | None = None
cooldown_until: datetime | None = None
cooldown_remaining_seconds: int = 0
recommended_action: str | None = None
counters: ScrapeSafetyCountersData = Field(default_factory=ScrapeSafetyCountersData)
model_config = ConfigDict(extra="forbid")
class RunAttemptLogData(BaseModel):
attempt: int
cstart: int
state: str | None = None
state_reason: str | None = None
status_code: int | None = None
fetch_error: str | None = None
model_config = ConfigDict(extra="forbid")
class RunPageLogData(BaseModel):
page: int
cstart: int
state: str
state_reason: str | None = None
status_code: int | None = None
publication_count: int = 0
attempt_count: int = 0
has_show_more_button: bool = False
articles_range: str | None = None
warning_codes: list[str] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class RunDebugData(BaseModel):
status_code: int | None = None
final_url: str | None = None
fetch_error: str | None = None
body_sha256: str | None = None
body_length: int | None = None
has_show_more_button: bool | None = None
articles_range: str | None = None
state_reason: str | None = None
warning_codes: list[str] = Field(default_factory=list)
marker_counts_nonzero: dict[str, int] = Field(default_factory=dict)
page_logs: list[RunPageLogData] = Field(default_factory=list)
attempt_log: list[RunAttemptLogData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class RunScholarResultData(BaseModel):
scholar_profile_id: int
scholar_id: str
state: str
state_reason: str | None = None
outcome: str
attempt_count: int = 0
publication_count: int = 0
start_cstart: int = 0
continuation_cstart: int | None = None
continuation_enqueued: bool = False
continuation_cleared: bool = False
warnings: list[str] = Field(default_factory=list)
error: str | None = None
debug: RunDebugData | None = None
model_config = ConfigDict(extra="forbid")
class RunDetailData(BaseModel):
run: RunListItemData
summary: RunSummaryData
scholar_results: list[RunScholarResultData]
safety_state: ScrapeSafetyStateData
model_config = ConfigDict(extra="forbid")
class RunDetailEnvelope(BaseModel):
data: RunDetailData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ManualRunData(BaseModel):
run_id: int
status: str
scholar_count: int
succeeded_count: int
failed_count: int
partial_count: int
new_publication_count: int
reused_existing_run: bool
idempotency_key: str | None = None
safety_state: ScrapeSafetyStateData
model_config = ConfigDict(extra="forbid")
class ManualRunEnvelope(BaseModel):
data: ManualRunData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class QueueItemData(BaseModel):
id: int
scholar_profile_id: int
scholar_label: str
status: str
reason: str
dropped_reason: str | None
attempt_count: int
resume_cstart: int
next_attempt_dt: datetime | None
updated_at: datetime
last_error: str | None
last_run_id: int | None
model_config = ConfigDict(extra="forbid")
class QueueListData(BaseModel):
queue_items: list[QueueItemData]
model_config = ConfigDict(extra="forbid")
class QueueListEnvelope(BaseModel):
data: QueueListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class QueueItemEnvelope(BaseModel):
data: QueueItemData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class QueueClearData(BaseModel):
queue_item_id: int
previous_status: str
status: str
message: str
model_config = ConfigDict(extra="forbid")
class QueueClearEnvelope(BaseModel):
data: QueueClearData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminUserData(BaseModel):
id: int
email: str
is_active: bool
is_admin: bool
created_at: datetime
updated_at: datetime
model_config = ConfigDict(extra="forbid")
class AdminUsersListData(BaseModel):
users: list[AdminUserData]
model_config = ConfigDict(extra="forbid")
class AdminUsersListEnvelope(BaseModel):
data: AdminUsersListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminUserCreateRequest(BaseModel):
email: str
password: str
is_admin: bool = False
model_config = ConfigDict(extra="forbid")
class AdminUserActiveUpdateRequest(BaseModel):
is_active: bool
model_config = ConfigDict(extra="forbid")
class AdminUserEnvelope(BaseModel):
data: AdminUserData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminResetPasswordRequest(BaseModel):
new_password: str
model_config = ConfigDict(extra="forbid")
class AdminDbIntegrityCheckData(BaseModel):
name: str
count: int
severity: str
message: str
model_config = ConfigDict(extra="forbid")
class AdminDbIntegrityData(BaseModel):
status: str
checked_at: datetime
failures: list[str] = Field(default_factory=list)
warnings: list[str] = Field(default_factory=list)
checks: list[AdminDbIntegrityCheckData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class AdminDbIntegrityEnvelope(BaseModel):
data: AdminDbIntegrityData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminDbRepairJobData(BaseModel):
id: int
job_name: str
requested_by: str | None
dry_run: bool
status: str
scope: dict[str, Any] = Field(default_factory=dict)
summary: dict[str, Any] = Field(default_factory=dict)
error_text: str | None
started_at: datetime | None
finished_at: datetime | None
created_at: datetime
updated_at: datetime
model_config = ConfigDict(extra="forbid")
class AdminDbRepairJobsData(BaseModel):
jobs: list[AdminDbRepairJobData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class AdminDbRepairJobsEnvelope(BaseModel):
data: AdminDbRepairJobsData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class DisplayIdentifierData(BaseModel):
kind: str
value: str
label: str
url: str | None
confidence_score: float = Field(ge=0.0, le=1.0)
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueItemData(BaseModel):
publication_id: int
title: str
display_identifier: DisplayIdentifierData | None = None
pdf_url: str | None
status: str
attempt_count: int
last_failure_reason: str | None
last_failure_detail: str | None
last_source: str | None
requested_by_user_id: int | None
requested_by_email: str | None
queued_at: datetime | None
last_attempt_at: datetime | None
resolved_at: datetime | None
updated_at: datetime
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueData(BaseModel):
items: list[AdminPdfQueueItemData] = Field(default_factory=list)
total_count: int = 0
page: int = 1
page_size: int = 100
has_next: bool = False
has_prev: bool = False
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueEnvelope(BaseModel):
data: AdminPdfQueueData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueRequeueData(BaseModel):
publication_id: int
queued: bool
status: str
message: str
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueRequeueEnvelope(BaseModel):
data: AdminPdfQueueRequeueData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueBulkEnqueueData(BaseModel):
requested_count: int
queued_count: int
message: str
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueBulkEnqueueEnvelope(BaseModel):
data: AdminPdfQueueBulkEnqueueData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminRepairPublicationLinksRequest(BaseModel):
scope_mode: Literal["single_user", "all_users"] = "single_user"
user_id: int | None = Field(default=None, ge=1)
scholar_profile_ids: list[int] = Field(default_factory=list, max_length=200)
dry_run: bool = True
gc_orphan_publications: bool = False
requested_by: str | None = None
confirmation_text: str | None = None
model_config = ConfigDict(extra="forbid")
@model_validator(mode="after")
def validate_scope(self) -> AdminRepairPublicationLinksRequest:
if self.scope_mode == "single_user" and self.user_id is None:
raise ValueError("user_id is required when scope_mode=single_user.")
if self.scope_mode == "all_users" and self.user_id is not None:
raise ValueError("user_id must be omitted when scope_mode=all_users.")
if not self.dry_run and self.scope_mode == "all_users":
expected = "REPAIR ALL USERS"
provided = (self.confirmation_text or "").strip()
if provided != expected:
raise ValueError("confirmation_text must equal 'REPAIR ALL USERS' when applying a repair to all users.")
return self
class AdminRepairPublicationLinksResultData(BaseModel):
job_id: int
status: str
scope: dict[str, Any] = Field(default_factory=dict)
summary: dict[str, Any] = Field(default_factory=dict)
model_config = ConfigDict(extra="forbid")
class AdminRepairPublicationLinksEnvelope(BaseModel):
data: AdminRepairPublicationLinksResultData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminNearDuplicateClusterMemberData(BaseModel):
publication_id: int
title: str
year: int | None
citation_count: int
model_config = ConfigDict(extra="forbid")
class AdminNearDuplicateClusterData(BaseModel):
cluster_key: str
winner_publication_id: int
member_count: int
similarity_score: float = Field(ge=0.0, le=1.0)
members: list[AdminNearDuplicateClusterMemberData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class AdminRepairPublicationNearDuplicatesRequest(BaseModel):
dry_run: bool = True
similarity_threshold: float = Field(default=0.78, ge=0.5, le=1.0)
min_shared_tokens: int = Field(default=3, ge=1, le=8)
max_year_delta: int = Field(default=1, ge=0, le=5)
max_clusters: int = Field(default=25, ge=1, le=200)
selected_cluster_keys: list[str] = Field(default_factory=list, max_length=200)
requested_by: str | None = None
confirmation_text: str | None = None
model_config = ConfigDict(extra="forbid")
@model_validator(mode="after")
def validate_apply_mode(self) -> AdminRepairPublicationNearDuplicatesRequest:
if self.dry_run:
return self
if not self.selected_cluster_keys:
raise ValueError("selected_cluster_keys is required when dry_run=false.")
expected = "MERGE SELECTED DUPLICATES"
provided = (self.confirmation_text or "").strip()
if provided != expected:
raise ValueError(
"confirmation_text must equal 'MERGE SELECTED DUPLICATES' when applying near-duplicate merges."
)
return self
class AdminRepairPublicationNearDuplicatesResultData(BaseModel):
job_id: int
status: str
scope: dict[str, Any] = Field(default_factory=dict)
summary: dict[str, Any] = Field(default_factory=dict)
clusters: list[AdminNearDuplicateClusterData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class AdminRepairPublicationNearDuplicatesEnvelope(BaseModel):
data: AdminRepairPublicationNearDuplicatesResultData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class SettingsPolicyData(BaseModel):
min_run_interval_minutes: int
min_request_delay_seconds: int
automation_allowed: bool
manual_run_allowed: bool
blocked_failure_threshold: int
network_failure_threshold: int
cooldown_blocked_seconds: int
cooldown_network_seconds: int
model_config = ConfigDict(extra="forbid")
class SettingsData(BaseModel):
auto_run_enabled: bool
run_interval_minutes: int
request_delay_seconds: int
nav_visible_pages: list[str]
policy: SettingsPolicyData
safety_state: ScrapeSafetyStateData
openalex_api_key: str | None = None
crossref_api_token: str | None = None
crossref_api_mailto: str | None = None
model_config = ConfigDict(extra="forbid")
class SettingsEnvelope(BaseModel):
data: SettingsData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class SettingsUpdateRequest(BaseModel):
auto_run_enabled: bool
run_interval_minutes: int
request_delay_seconds: int
nav_visible_pages: list[str] | None = None
openalex_api_key: str | None = None
crossref_api_token: str | None = None
crossref_api_mailto: str | None = None
model_config = ConfigDict(extra="forbid")
class PublicationItemData(BaseModel):
publication_id: int
scholar_profile_id: int
scholar_label: str
title: str
year: int | None
citation_count: int
venue_text: str | None
pub_url: str | None
display_identifier: DisplayIdentifierData | None = None
pdf_url: str | None
pdf_status: str = "untracked"
pdf_attempt_count: int = 0
pdf_failure_reason: str | None = None
pdf_failure_detail: str | None = None
is_read: bool
is_favorite: bool = False
first_seen_at: datetime
is_new_in_latest_run: bool
model_config = ConfigDict(extra="forbid")
class PublicationsListData(BaseModel):
mode: str
favorite_only: bool = False
selected_scholar_profile_id: int | None
unread_count: int
favorites_count: int
latest_count: int
new_count: int
total_count: int
page: int
page_size: int
snapshot: str
has_next: bool = False
has_prev: bool = False
publications: list[PublicationItemData]
model_config = ConfigDict(extra="forbid")
class PublicationsListEnvelope(BaseModel):
data: PublicationsListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class MarkAllReadData(BaseModel):
message: str
updated_count: int
model_config = ConfigDict(extra="forbid")
class MarkAllReadEnvelope(BaseModel):
data: MarkAllReadData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class PublicationSelectionItem(BaseModel):
scholar_profile_id: int
publication_id: int
model_config = ConfigDict(extra="forbid")
class MarkSelectedReadRequest(BaseModel):
selections: list[PublicationSelectionItem] = Field(min_length=1, max_length=500)
model_config = ConfigDict(extra="forbid")
class MarkSelectedReadData(BaseModel):
message: str
requested_count: int
updated_count: int
model_config = ConfigDict(extra="forbid")
class MarkSelectedReadEnvelope(BaseModel):
data: MarkSelectedReadData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class RetryPublicationPdfRequest(BaseModel):
scholar_profile_id: int = Field(ge=1)
model_config = ConfigDict(extra="forbid")
class RetryPublicationPdfData(BaseModel):
message: str
queued: bool
resolved_pdf: bool
publication: PublicationItemData
model_config = ConfigDict(extra="forbid")
class RetryPublicationPdfEnvelope(BaseModel):
data: RetryPublicationPdfData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class TogglePublicationFavoriteRequest(BaseModel):
scholar_profile_id: int = Field(ge=1)
is_favorite: bool
model_config = ConfigDict(extra="forbid")
class TogglePublicationFavoriteData(BaseModel):
message: str
publication: PublicationItemData
model_config = ConfigDict(extra="forbid")
class TogglePublicationFavoriteEnvelope(BaseModel):
data: TogglePublicationFavoriteData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")

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from app.api.schemas.admin import * # noqa: F401, F403
from app.api.schemas.auth import * # noqa: F401, F403
from app.api.schemas.common import * # noqa: F401, F403
from app.api.schemas.publications import * # noqa: F401, F403
from app.api.schemas.runs import * # noqa: F401, F403
from app.api.schemas.scholars import * # noqa: F401, F403
from app.api.schemas.settings import * # noqa: F401, F403

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from __future__ import annotations
from datetime import datetime
from typing import Any, Literal
from pydantic import BaseModel, ConfigDict, Field, model_validator
from app.api.schemas.common import ApiMeta
from app.api.schemas.publications import DisplayIdentifierData
class AdminUserData(BaseModel):
id: int
email: str
is_active: bool
is_admin: bool
created_at: datetime
updated_at: datetime
model_config = ConfigDict(extra="forbid")
class AdminUsersListData(BaseModel):
users: list[AdminUserData]
model_config = ConfigDict(extra="forbid")
class AdminUsersListEnvelope(BaseModel):
data: AdminUsersListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminUserCreateRequest(BaseModel):
email: str
password: str
is_admin: bool = False
model_config = ConfigDict(extra="forbid")
class AdminUserActiveUpdateRequest(BaseModel):
is_active: bool
model_config = ConfigDict(extra="forbid")
class AdminUserEnvelope(BaseModel):
data: AdminUserData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminResetPasswordRequest(BaseModel):
new_password: str
model_config = ConfigDict(extra="forbid")
class AdminScholarHttpSettingsData(BaseModel):
user_agent: str
rotate_user_agent: bool
accept_language: str
cookie: str
model_config = ConfigDict(extra="forbid")
class AdminScholarHttpSettingsEnvelope(BaseModel):
data: AdminScholarHttpSettingsData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminScholarHttpSettingsUpdateRequest(BaseModel):
user_agent: str
rotate_user_agent: bool
accept_language: str
cookie: str
model_config = ConfigDict(extra="forbid")
class AdminDbIntegrityCheckData(BaseModel):
name: str
count: int
severity: str
message: str
model_config = ConfigDict(extra="forbid")
class AdminDbIntegrityData(BaseModel):
status: str
checked_at: datetime
failures: list[str] = Field(default_factory=list)
warnings: list[str] = Field(default_factory=list)
checks: list[AdminDbIntegrityCheckData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class AdminDbIntegrityEnvelope(BaseModel):
data: AdminDbIntegrityData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminDbRepairJobData(BaseModel):
id: int
job_name: str
requested_by: str | None
dry_run: bool
status: str
scope: dict[str, Any] = Field(default_factory=dict)
summary: dict[str, Any] = Field(default_factory=dict)
error_text: str | None
started_at: datetime | None
finished_at: datetime | None
created_at: datetime
updated_at: datetime
model_config = ConfigDict(extra="forbid")
class AdminDbRepairJobsData(BaseModel):
jobs: list[AdminDbRepairJobData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class AdminDbRepairJobsEnvelope(BaseModel):
data: AdminDbRepairJobsData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueItemData(BaseModel):
publication_id: int
title: str
display_identifier: DisplayIdentifierData | None = None
pdf_url: str | None
status: str
attempt_count: int
last_failure_reason: str | None
last_failure_detail: str | None
last_source: str | None
requested_by_user_id: int | None
requested_by_email: str | None
queued_at: datetime | None
last_attempt_at: datetime | None
resolved_at: datetime | None
updated_at: datetime
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueData(BaseModel):
items: list[AdminPdfQueueItemData] = Field(default_factory=list)
total_count: int = 0
page: int = 1
page_size: int = 100
has_next: bool = False
has_prev: bool = False
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueEnvelope(BaseModel):
data: AdminPdfQueueData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueRequeueData(BaseModel):
publication_id: int
queued: bool
status: str
message: str
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueRequeueEnvelope(BaseModel):
data: AdminPdfQueueRequeueData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueBulkEnqueueData(BaseModel):
requested_count: int
queued_count: int
message: str
model_config = ConfigDict(extra="forbid")
class AdminPdfQueueBulkEnqueueEnvelope(BaseModel):
data: AdminPdfQueueBulkEnqueueData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminRepairPublicationLinksRequest(BaseModel):
scope_mode: Literal["single_user", "all_users"] = "single_user"
user_id: int | None = Field(default=None, ge=1)
scholar_profile_ids: list[int] = Field(default_factory=list, max_length=200)
dry_run: bool = True
gc_orphan_publications: bool = False
requested_by: str | None = None
confirmation_text: str | None = None
model_config = ConfigDict(extra="forbid")
@model_validator(mode="after")
def validate_scope(self) -> AdminRepairPublicationLinksRequest:
if self.scope_mode == "single_user" and self.user_id is None:
raise ValueError("user_id is required when scope_mode=single_user.")
if self.scope_mode == "all_users" and self.user_id is not None:
raise ValueError("user_id must be omitted when scope_mode=all_users.")
if not self.dry_run and self.scope_mode == "all_users":
expected = "REPAIR ALL USERS"
provided = (self.confirmation_text or "").strip()
if provided != expected:
raise ValueError("confirmation_text must equal 'REPAIR ALL USERS' when applying a repair to all users.")
return self
class AdminRepairPublicationLinksResultData(BaseModel):
job_id: int
status: str
scope: dict[str, Any] = Field(default_factory=dict)
summary: dict[str, Any] = Field(default_factory=dict)
model_config = ConfigDict(extra="forbid")
class AdminRepairPublicationLinksEnvelope(BaseModel):
data: AdminRepairPublicationLinksResultData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class AdminNearDuplicateClusterMemberData(BaseModel):
publication_id: int
title: str
year: int | None
citation_count: int
model_config = ConfigDict(extra="forbid")
class AdminNearDuplicateClusterData(BaseModel):
cluster_key: str
winner_publication_id: int
member_count: int
similarity_score: float = Field(ge=0.0, le=1.0)
members: list[AdminNearDuplicateClusterMemberData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class AdminRepairPublicationNearDuplicatesRequest(BaseModel):
dry_run: bool = True
similarity_threshold: float = Field(default=0.78, ge=0.5, le=1.0)
min_shared_tokens: int = Field(default=3, ge=1, le=8)
max_year_delta: int = Field(default=1, ge=0, le=5)
max_clusters: int = Field(default=25, ge=1, le=200)
selected_cluster_keys: list[str] = Field(default_factory=list, max_length=200)
requested_by: str | None = None
confirmation_text: str | None = None
model_config = ConfigDict(extra="forbid")
@model_validator(mode="after")
def validate_apply_mode(self) -> AdminRepairPublicationNearDuplicatesRequest:
if self.dry_run:
return self
if not self.selected_cluster_keys:
raise ValueError("selected_cluster_keys is required when dry_run=false.")
expected = "MERGE SELECTED DUPLICATES"
provided = (self.confirmation_text or "").strip()
if provided != expected:
raise ValueError(
"confirmation_text must equal 'MERGE SELECTED DUPLICATES' when applying near-duplicate merges."
)
return self
class AdminRepairPublicationNearDuplicatesResultData(BaseModel):
job_id: int
status: str
scope: dict[str, Any] = Field(default_factory=dict)
summary: dict[str, Any] = Field(default_factory=dict)
clusters: list[AdminNearDuplicateClusterData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class AdminRepairPublicationNearDuplicatesEnvelope(BaseModel):
data: AdminRepairPublicationNearDuplicatesResultData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")

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from __future__ import annotations
from pydantic import BaseModel, ConfigDict
from app.api.schemas.common import ApiMeta
class SessionUserData(BaseModel):
id: int
email: str
is_admin: bool
is_active: bool
model_config = ConfigDict(extra="forbid")
class AuthMeData(BaseModel):
authenticated: bool
csrf_token: str
user: SessionUserData
model_config = ConfigDict(extra="forbid")
class AuthMeEnvelope(BaseModel):
data: AuthMeData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class CsrfBootstrapData(BaseModel):
csrf_token: str
authenticated: bool
model_config = ConfigDict(extra="forbid")
class CsrfBootstrapEnvelope(BaseModel):
data: CsrfBootstrapData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class LoginRequest(BaseModel):
email: str
password: str
model_config = ConfigDict(extra="forbid")
class LoginData(BaseModel):
authenticated: bool
csrf_token: str
user: SessionUserData
model_config = ConfigDict(extra="forbid")
class LoginEnvelope(BaseModel):
data: LoginData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ChangePasswordRequest(BaseModel):
current_password: str
new_password: str
confirm_password: str
model_config = ConfigDict(extra="forbid")

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from __future__ import annotations
from typing import Any
from pydantic import BaseModel, ConfigDict
class ApiMeta(BaseModel):
request_id: str | None = None
model_config = ConfigDict(extra="forbid")
class ApiErrorData(BaseModel):
code: str
message: str
details: Any | None = None
model_config = ConfigDict(extra="forbid")
class ApiErrorEnvelope(BaseModel):
error: ApiErrorData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class MessageData(BaseModel):
message: str
model_config = ConfigDict(extra="forbid")
class MessageEnvelope(BaseModel):
data: MessageData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")

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from __future__ import annotations
from datetime import datetime
from pydantic import BaseModel, ConfigDict, Field
from app.api.schemas.common import ApiMeta
class DisplayIdentifierData(BaseModel):
kind: str
value: str
label: str
url: str | None
confidence_score: float = Field(ge=0.0, le=1.0)
model_config = ConfigDict(extra="forbid")
class PublicationItemData(BaseModel):
publication_id: int
scholar_profile_id: int
scholar_label: str
title: str
year: int | None
citation_count: int
venue_text: str | None
pub_url: str | None
display_identifier: DisplayIdentifierData | None = None
pdf_url: str | None
pdf_status: str = "untracked"
pdf_attempt_count: int = 0
pdf_failure_reason: str | None = None
pdf_failure_detail: str | None = None
is_read: bool
is_favorite: bool = False
first_seen_at: datetime
is_new_in_latest_run: bool
model_config = ConfigDict(extra="forbid")
class PublicationsListData(BaseModel):
mode: str
favorite_only: bool = False
selected_scholar_profile_id: int | None
unread_count: int
favorites_count: int
latest_count: int
new_count: int
total_count: int
page: int
page_size: int
snapshot: str
has_next: bool = False
has_prev: bool = False
publications: list[PublicationItemData]
model_config = ConfigDict(extra="forbid")
class PublicationsListEnvelope(BaseModel):
data: PublicationsListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class MarkAllReadData(BaseModel):
message: str
updated_count: int
model_config = ConfigDict(extra="forbid")
class MarkAllReadEnvelope(BaseModel):
data: MarkAllReadData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class PublicationSelectionItem(BaseModel):
scholar_profile_id: int
publication_id: int
model_config = ConfigDict(extra="forbid")
class MarkSelectedReadRequest(BaseModel):
selections: list[PublicationSelectionItem] = Field(min_length=1, max_length=500)
model_config = ConfigDict(extra="forbid")
class MarkSelectedReadData(BaseModel):
message: str
requested_count: int
updated_count: int
model_config = ConfigDict(extra="forbid")
class MarkSelectedReadEnvelope(BaseModel):
data: MarkSelectedReadData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class RetryPublicationPdfRequest(BaseModel):
scholar_profile_id: int = Field(ge=1)
model_config = ConfigDict(extra="forbid")
class RetryPublicationPdfData(BaseModel):
message: str
queued: bool
resolved_pdf: bool
publication: PublicationItemData
model_config = ConfigDict(extra="forbid")
class RetryPublicationPdfEnvelope(BaseModel):
data: RetryPublicationPdfData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class TogglePublicationFavoriteRequest(BaseModel):
scholar_profile_id: int = Field(ge=1)
is_favorite: bool
model_config = ConfigDict(extra="forbid")
class TogglePublicationFavoriteData(BaseModel):
message: str
publication: PublicationItemData
model_config = ConfigDict(extra="forbid")
class TogglePublicationFavoriteEnvelope(BaseModel):
data: TogglePublicationFavoriteData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")

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from __future__ import annotations
from datetime import datetime
from pydantic import BaseModel, ConfigDict, Field
from app.api.schemas.common import ApiMeta
class RunListItemData(BaseModel):
id: int
trigger_type: str
status: str
start_dt: datetime
end_dt: datetime | None
scholar_count: int
new_publication_count: int
failed_count: int
partial_count: int
model_config = ConfigDict(extra="forbid")
class ScrapeSafetyCountersData(BaseModel):
consecutive_blocked_runs: int = 0
consecutive_network_runs: int = 0
cooldown_entry_count: int = 0
blocked_start_count: int = 0
last_blocked_failure_count: int = 0
last_network_failure_count: int = 0
last_evaluated_run_id: int | None = None
model_config = ConfigDict(extra="forbid")
class ScrapeSafetyStateData(BaseModel):
cooldown_active: bool
cooldown_reason: str | None = None
cooldown_reason_label: str | None = None
cooldown_until: datetime | None = None
cooldown_remaining_seconds: int = 0
recommended_action: str | None = None
counters: ScrapeSafetyCountersData = Field(default_factory=ScrapeSafetyCountersData)
model_config = ConfigDict(extra="forbid")
class RunsListData(BaseModel):
runs: list[RunListItemData]
safety_state: ScrapeSafetyStateData
model_config = ConfigDict(extra="forbid")
class RunsListEnvelope(BaseModel):
data: RunsListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class RunSummaryData(BaseModel):
succeeded_count: int
failed_count: int
partial_count: int
failed_state_counts: dict[str, int] = Field(default_factory=dict)
failed_reason_counts: dict[str, int] = Field(default_factory=dict)
scrape_failure_counts: dict[str, int] = Field(default_factory=dict)
retry_counts: dict[str, int] = Field(default_factory=dict)
alert_thresholds: dict[str, int] = Field(default_factory=dict)
alert_flags: dict[str, bool] = Field(default_factory=dict)
model_config = ConfigDict(extra="forbid")
class RunAttemptLogData(BaseModel):
attempt: int
cstart: int
state: str | None = None
state_reason: str | None = None
status_code: int | None = None
fetch_error: str | None = None
model_config = ConfigDict(extra="forbid")
class RunPageLogData(BaseModel):
page: int
cstart: int
state: str
state_reason: str | None = None
status_code: int | None = None
publication_count: int = 0
attempt_count: int = 0
has_show_more_button: bool = False
articles_range: str | None = None
warning_codes: list[str] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class RunDebugData(BaseModel):
status_code: int | None = None
final_url: str | None = None
fetch_error: str | None = None
body_sha256: str | None = None
body_length: int | None = None
has_show_more_button: bool | None = None
articles_range: str | None = None
state_reason: str | None = None
warning_codes: list[str] = Field(default_factory=list)
marker_counts_nonzero: dict[str, int] = Field(default_factory=dict)
page_logs: list[RunPageLogData] = Field(default_factory=list)
attempt_log: list[RunAttemptLogData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class RunScholarResultData(BaseModel):
scholar_profile_id: int
scholar_id: str
state: str
state_reason: str | None = None
outcome: str
attempt_count: int = 0
publication_count: int = 0
start_cstart: int = 0
continuation_cstart: int | None = None
continuation_enqueued: bool = False
continuation_cleared: bool = False
warnings: list[str] = Field(default_factory=list)
error: str | None = None
debug: RunDebugData | None = None
model_config = ConfigDict(extra="forbid")
class RunDetailData(BaseModel):
run: RunListItemData
summary: RunSummaryData
scholar_results: list[RunScholarResultData]
safety_state: ScrapeSafetyStateData
model_config = ConfigDict(extra="forbid")
class RunDetailEnvelope(BaseModel):
data: RunDetailData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ManualRunData(BaseModel):
run_id: int
status: str
scholar_count: int
succeeded_count: int
failed_count: int
partial_count: int
new_publication_count: int
reused_existing_run: bool
idempotency_key: str | None = None
safety_state: ScrapeSafetyStateData
model_config = ConfigDict(extra="forbid")
class ManualRunEnvelope(BaseModel):
data: ManualRunData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class QueueItemData(BaseModel):
id: int
scholar_profile_id: int
scholar_label: str
status: str
reason: str
dropped_reason: str | None
attempt_count: int
resume_cstart: int
next_attempt_dt: datetime | None
updated_at: datetime
last_error: str | None
last_run_id: int | None
model_config = ConfigDict(extra="forbid")
class QueueListData(BaseModel):
queue_items: list[QueueItemData]
model_config = ConfigDict(extra="forbid")
class QueueListEnvelope(BaseModel):
data: QueueListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class QueueItemEnvelope(BaseModel):
data: QueueItemData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class QueueClearData(BaseModel):
queue_item_id: int
previous_status: str
status: str
message: str
model_config = ConfigDict(extra="forbid")
class QueueClearEnvelope(BaseModel):
data: QueueClearData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")

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from __future__ import annotations
from datetime import datetime
from pydantic import BaseModel, ConfigDict, Field
from app.api.schemas.common import ApiMeta
class ScholarItemData(BaseModel):
id: int
scholar_id: str
display_name: str | None
profile_image_url: str | None
profile_image_source: str
is_enabled: bool
baseline_completed: bool
last_run_dt: datetime | None
last_run_status: str | None
model_config = ConfigDict(extra="forbid")
class ScholarsListData(BaseModel):
scholars: list[ScholarItemData]
model_config = ConfigDict(extra="forbid")
class ScholarsListEnvelope(BaseModel):
data: ScholarsListData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ScholarCreateRequest(BaseModel):
scholar_id: str
profile_image_url: str | None = None
model_config = ConfigDict(extra="forbid")
class ScholarEnvelope(BaseModel):
data: ScholarItemData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ScholarSearchCandidateData(BaseModel):
scholar_id: str
display_name: str
affiliation: str | None
email_domain: str | None
cited_by_count: int | None
interests: list[str] = Field(default_factory=list)
profile_url: str
profile_image_url: str | None
model_config = ConfigDict(extra="forbid")
class ScholarSearchData(BaseModel):
query: str
state: str
state_reason: str
action_hint: str | None = None
candidates: list[ScholarSearchCandidateData]
warnings: list[str] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class ScholarSearchEnvelope(BaseModel):
data: ScholarSearchData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class ScholarImageUrlUpdateRequest(BaseModel):
image_url: str
model_config = ConfigDict(extra="forbid")
class ScholarExportItemData(BaseModel):
scholar_id: str
display_name: str | None = None
is_enabled: bool = True
profile_image_override_url: str | None = None
model_config = ConfigDict(extra="forbid")
class PublicationExportItemData(BaseModel):
scholar_id: str
cluster_id: str | None = None
fingerprint_sha256: str | None = None
title: str
year: int | None = None
citation_count: int = 0
author_text: str | None = None
venue_text: str | None = None
pub_url: str | None = None
pdf_url: str | None = None
is_read: bool = False
model_config = ConfigDict(extra="forbid")
class DataExportData(BaseModel):
schema_version: int
exported_at: str
scholars: list[ScholarExportItemData]
publications: list[PublicationExportItemData]
model_config = ConfigDict(extra="forbid")
class DataExportEnvelope(BaseModel):
data: DataExportData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class DataImportRequest(BaseModel):
schema_version: int | None = None
scholars: list[ScholarExportItemData] = Field(default_factory=list)
publications: list[PublicationExportItemData] = Field(default_factory=list)
model_config = ConfigDict(extra="forbid")
class DataImportResultData(BaseModel):
scholars_created: int
scholars_updated: int
publications_created: int
publications_updated: int
links_created: int
links_updated: int
skipped_records: int
model_config = ConfigDict(extra="forbid")
class DataImportEnvelope(BaseModel):
data: DataImportResultData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")

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from __future__ import annotations
from pydantic import BaseModel, ConfigDict
from app.api.schemas.common import ApiMeta
from app.api.schemas.runs import ScrapeSafetyStateData
class SettingsPolicyData(BaseModel):
min_run_interval_minutes: int
min_request_delay_seconds: int
automation_allowed: bool
manual_run_allowed: bool
blocked_failure_threshold: int
network_failure_threshold: int
cooldown_blocked_seconds: int
cooldown_network_seconds: int
model_config = ConfigDict(extra="forbid")
class SettingsData(BaseModel):
auto_run_enabled: bool
run_interval_minutes: int
request_delay_seconds: int
nav_visible_pages: list[str]
policy: SettingsPolicyData
safety_state: ScrapeSafetyStateData
openalex_api_key: str | None = None
crossref_api_token: str | None = None
crossref_api_mailto: str | None = None
model_config = ConfigDict(extra="forbid")
class SettingsEnvelope(BaseModel):
data: SettingsData
meta: ApiMeta
model_config = ConfigDict(extra="forbid")
class SettingsUpdateRequest(BaseModel):
auto_run_enabled: bool
run_interval_minutes: int
request_delay_seconds: int
nav_visible_pages: list[str] | None = None
openalex_api_key: str | None = None
crossref_api_token: str | None = None
crossref_api_mailto: str | None = None
model_config = ConfigDict(extra="forbid")

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from __future__ import annotations
import asyncio
import logging
import re
from datetime import UTC, datetime, timedelta
from sqlalchemy import or_, select
from sqlalchemy.ext.asyncio import AsyncSession
from app.db.models import (
CrawlRun,
Publication,
RunStatus,
ScholarProfile,
ScholarPublication,
)
from app.logging_utils import structured_log
from app.services.arxiv.errors import ArxivRateLimitError
from app.services.publication_identifiers import application as identifier_service
from app.services.runs.events import run_events
from app.services.scholar.parser import PublicationCandidate
from app.settings import settings
logger = logging.getLogger(__name__)
class EnrichmentRunner:
"""Post-run OpenAlex enrichment logic.
Receives service dependencies at construction so it can be tested
independently of ``ScholarIngestionService``.
"""
async def run_is_canceled(
self,
db_session: AsyncSession,
*,
run_id: int,
) -> bool:
check_result = await db_session.execute(select(CrawlRun.status).where(CrawlRun.id == run_id))
status = check_result.scalar_one_or_none()
if status is None:
raise RuntimeError(f"Missing crawl_run for run_id={run_id}.")
return status == RunStatus.CANCELED
async def enrich_pending_publications(
self,
db_session: AsyncSession,
*,
run_id: int,
openalex_api_key: str | None = None,
) -> None:
"""Enrich unenriched publications with OpenAlex data.
Stops immediately on budget exhaustion (429 with $0 remaining).
Sleeps 60s and continues on transient rate limits.
"""
from app.services.openalex.client import (
OpenAlexBudgetExhaustedError,
OpenAlexClient,
OpenAlexRateLimitError,
)
from app.services.openalex.matching import find_best_match
run_result = await db_session.execute(select(CrawlRun.user_id).where(CrawlRun.id == run_id))
user_id = run_result.scalar_one()
now = datetime.now(UTC)
cooldown_threshold = now - timedelta(days=7)
stmt = (
select(Publication)
.join(ScholarPublication)
.join(ScholarProfile, ScholarPublication.scholar_profile_id == ScholarProfile.id)
.where(
ScholarProfile.user_id == user_id,
Publication.openalex_enriched.is_(False),
or_(
Publication.openalex_last_attempt_at.is_(None),
Publication.openalex_last_attempt_at < cooldown_threshold,
),
)
.distinct()
)
result = await db_session.execute(stmt)
publications = list(result.scalars().all())
if not publications:
return
resolved_key = openalex_api_key or settings.openalex_api_key
client = OpenAlexClient(api_key=resolved_key, mailto=settings.crossref_api_mailto)
batch_size = 25
arxiv_lookup_allowed = True
for i in range(0, len(publications), batch_size):
if await self.run_is_canceled(db_session, run_id=run_id):
logger.info("ingestion.enrichment_aborted", extra={"run_id": run_id})
return
batch = publications[i : i + batch_size]
titles = [
" ".join(re.sub(r"[^\w\s]", " ", p.title_raw).split())
for p in batch
if p.title_raw and p.title_raw.strip()
]
if not titles:
continue
try:
openalex_works = await client.get_works_by_filter(
{"title.search": "|".join(titles)}, limit=batch_size * 3
)
except OpenAlexBudgetExhaustedError:
structured_log(
logger,
"warning",
"ingestion.openalex_budget_exhausted",
run_id=run_id,
)
break
except OpenAlexRateLimitError:
structured_log(
logger,
"warning",
"ingestion.openalex_rate_limited",
run_id=run_id,
)
await asyncio.sleep(60)
continue
except Exception as e:
structured_log(
logger,
"warning",
"ingestion.openalex_enrichment_failed",
error=str(e),
run_id=run_id,
)
continue
for p in batch:
if await self.run_is_canceled(db_session, run_id=run_id):
logger.info("ingestion.enrichment_aborted", extra={"run_id": run_id})
return
p.openalex_last_attempt_at = now
arxiv_lookup_allowed = await self._discover_identifiers_for_enrichment(
db_session,
publication=p,
run_id=run_id,
allow_arxiv_lookup=arxiv_lookup_allowed,
)
match = find_best_match(
target_title=p.title_raw,
target_year=p.year,
target_authors=p.author_text or "",
candidates=openalex_works,
)
if match:
p.year = match.publication_year or p.year
p.citation_count = match.cited_by_count or p.citation_count
p.pdf_url = match.oa_url or p.pdf_url
p.openalex_enriched = True
await db_session.flush()
from app.services.publications.dedup import sweep_identifier_duplicates
merge_count = await sweep_identifier_duplicates(db_session)
if merge_count:
structured_log(
logger,
"info",
"ingestion.identifier_dedup_sweep",
merged_count=merge_count,
run_id=run_id,
)
async def _discover_identifiers_for_enrichment(
self,
db_session: AsyncSession,
*,
publication: Publication,
run_id: int,
allow_arxiv_lookup: bool,
) -> bool:
if not allow_arxiv_lookup:
await identifier_service.sync_identifiers_for_publication_fields(
db_session,
publication=publication,
)
await self._publish_identifier_update_event(
db_session,
run_id=run_id,
publication_id=int(publication.id),
)
return False
try:
await identifier_service.discover_and_sync_identifiers_for_publication(
db_session,
publication=publication,
scholar_label=publication.author_text or "",
)
await self._publish_identifier_update_event(
db_session,
run_id=run_id,
publication_id=int(publication.id),
)
return True
except ArxivRateLimitError:
structured_log(
logger,
"warning",
"ingestion.arxiv_rate_limited",
run_id=run_id,
publication_id=int(publication.id),
detail="arXiv temporarily disabled for remaining enrichment pass",
)
await identifier_service.sync_identifiers_for_publication_fields(
db_session,
publication=publication,
)
await self._publish_identifier_update_event(
db_session,
run_id=run_id,
publication_id=int(publication.id),
)
return False
async def _publish_identifier_update_event(
self,
db_session: AsyncSession,
*,
run_id: int,
publication_id: int,
) -> None:
display = await identifier_service.display_identifier_for_publication_id(
db_session,
publication_id=publication_id,
)
if display is None:
return
await run_events.publish(
run_id=run_id,
event_type="identifier_updated",
data={
"publication_id": int(publication_id),
"display_identifier": {
"kind": display.kind,
"value": display.value,
"label": display.label,
"url": display.url,
"confidence_score": float(display.confidence_score),
},
},
)
async def enrich_publications_with_openalex(
self,
scholar: ScholarProfile,
publications: list[PublicationCandidate],
) -> list[PublicationCandidate]:
if not publications:
return publications
from app.services.openalex.client import OpenAlexClient
from app.services.openalex.matching import find_best_match
client = OpenAlexClient(api_key=settings.openalex_api_key, mailto=settings.crossref_api_mailto)
batch_size = 25
enriched: list[PublicationCandidate] = []
for i in range(0, len(publications), batch_size):
batch = publications[i : i + batch_size]
titles = []
for p in batch:
if not p.title:
continue
safe_title = re.sub(r"[^\w\s]", " ", p.title)
safe_title = " ".join(safe_title.split())
if safe_title:
titles.append(safe_title)
if not titles:
enriched.extend(batch)
continue
query = "|".join(t for t in titles)
try:
openalex_works = await client.get_works_by_filter({"title.search": query}, limit=batch_size * 3)
except Exception as e:
logger.warning(
"ingestion.openalex_enrichment_failed",
extra={"error": str(e), "batch_size": len(batch), "scholar_id": scholar.id},
)
openalex_works = []
for p in batch:
match = find_best_match(
target_title=p.title,
target_year=p.year,
target_authors=p.authors_text or (scholar.display_name or scholar.scholar_id),
candidates=openalex_works,
)
if match:
new_p = PublicationCandidate(
title=p.title,
title_url=p.title_url,
cluster_id=p.cluster_id,
year=match.publication_year or p.year,
citation_count=match.cited_by_count,
authors_text=p.authors_text,
venue_text=p.venue_text,
pdf_url=match.oa_url or p.pdf_url,
)
enriched.append(new_p)
else:
enriched.append(p)
return enriched

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from __future__ import annotations
import hashlib
import logging
from datetime import UTC, datetime
from typing import Any
from app.db.models import (
CrawlRun,
RunStatus,
ScholarProfile,
)
from app.logging_utils import structured_log
from app.services.ingestion import safety as run_safety_service
from app.services.ingestion.constants import (
FAILED_STATES,
FAILURE_BUCKET_BLOCKED,
FAILURE_BUCKET_INGESTION,
FAILURE_BUCKET_LAYOUT,
FAILURE_BUCKET_NETWORK,
FAILURE_BUCKET_OTHER,
)
from app.services.ingestion.fingerprints import _build_body_excerpt
from app.services.ingestion.types import (
RunAlertSummary,
RunExecutionSummary,
RunFailureSummary,
RunProgress,
ScholarProcessingOutcome,
)
from app.services.scholar.parser import ParsedProfilePage, ParseState
from app.services.scholar.source import FetchResult
from app.settings import settings
logger = logging.getLogger(__name__)
def _int_or_default(value: Any, default: int = 0) -> int:
try:
return int(value)
except (TypeError, ValueError):
return default
def classify_failure_bucket(*, state: str, state_reason: str) -> str:
reason = state_reason.strip().lower()
normalized_state = state.strip().lower()
if normalized_state == ParseState.BLOCKED_OR_CAPTCHA.value or reason.startswith("blocked_"):
return FAILURE_BUCKET_BLOCKED
if normalized_state == ParseState.NETWORK_ERROR.value or reason.startswith("network_"):
return FAILURE_BUCKET_NETWORK
if normalized_state == ParseState.LAYOUT_CHANGED.value:
return FAILURE_BUCKET_LAYOUT
if normalized_state == "ingestion_error":
return FAILURE_BUCKET_INGESTION
return FAILURE_BUCKET_OTHER
def summarize_failures(
*,
scholar_results: list[dict[str, Any]],
) -> RunFailureSummary:
failed_state_counts: dict[str, int] = {}
failed_reason_counts: dict[str, int] = {}
scrape_failure_counts: dict[str, int] = {}
retries_scheduled_count = 0
scholars_with_retries_count = 0
retry_exhausted_count = 0
for entry in scholar_results:
retries_for_entry = max(0, _int_or_default(entry.get("attempt_count"), 0) - 1)
if retries_for_entry > 0:
retries_scheduled_count += retries_for_entry
scholars_with_retries_count += 1
if str(entry.get("outcome", "")) != "failed":
continue
state = str(entry.get("state", "")).strip()
if state not in FAILED_STATES:
continue
failed_state_counts[state] = failed_state_counts.get(state, 0) + 1
reason = str(entry.get("state_reason", "")).strip()
if reason:
failed_reason_counts[reason] = failed_reason_counts.get(reason, 0) + 1
bucket = classify_failure_bucket(state=state, state_reason=reason)
scrape_failure_counts[bucket] = scrape_failure_counts.get(bucket, 0) + 1
if state == ParseState.NETWORK_ERROR.value and retries_for_entry > 0:
retry_exhausted_count += 1
return RunFailureSummary(
failed_state_counts=failed_state_counts,
failed_reason_counts=failed_reason_counts,
scrape_failure_counts=scrape_failure_counts,
retries_scheduled_count=retries_scheduled_count,
scholars_with_retries_count=scholars_with_retries_count,
retry_exhausted_count=retry_exhausted_count,
)
def build_alert_summary(
*,
failure_summary: RunFailureSummary,
alert_blocked_failure_threshold: int,
alert_network_failure_threshold: int,
alert_retry_scheduled_threshold: int,
) -> RunAlertSummary:
blocked_failure_count = int(failure_summary.scrape_failure_counts.get(FAILURE_BUCKET_BLOCKED, 0))
network_failure_count = int(failure_summary.scrape_failure_counts.get(FAILURE_BUCKET_NETWORK, 0))
blocked_threshold = max(1, int(alert_blocked_failure_threshold))
network_threshold = max(1, int(alert_network_failure_threshold))
retry_threshold = max(1, int(alert_retry_scheduled_threshold))
alert_flags = {
"blocked_failure_threshold_exceeded": blocked_failure_count >= blocked_threshold,
"network_failure_threshold_exceeded": network_failure_count >= network_threshold,
"retry_scheduled_threshold_exceeded": failure_summary.retries_scheduled_count >= retry_threshold,
}
return RunAlertSummary(
blocked_failure_count=blocked_failure_count,
network_failure_count=network_failure_count,
blocked_failure_threshold=blocked_threshold,
network_failure_threshold=network_threshold,
retry_scheduled_threshold=retry_threshold,
alert_flags=alert_flags,
)
def apply_safety_outcome(
*,
user_settings: Any,
run: CrawlRun,
user_id: int,
alert_summary: RunAlertSummary,
) -> None:
pre_apply_state = run_safety_service.get_safety_event_context(
user_settings,
now_utc=datetime.now(UTC),
)
safety_state, cooldown_trigger_reason = run_safety_service.apply_run_safety_outcome(
user_settings,
run_id=int(run.id),
blocked_failure_count=alert_summary.blocked_failure_count,
network_failure_count=alert_summary.network_failure_count,
blocked_failure_threshold=alert_summary.blocked_failure_threshold,
network_failure_threshold=alert_summary.network_failure_threshold,
blocked_cooldown_seconds=settings.ingestion_safety_cooldown_blocked_seconds,
network_cooldown_seconds=settings.ingestion_safety_cooldown_network_seconds,
now_utc=datetime.now(UTC),
)
if cooldown_trigger_reason is not None:
structured_log(
logger,
"warning",
"ingestion.safety_cooldown_entered",
user_id=user_id,
crawl_run_id=int(run.id),
reason=cooldown_trigger_reason,
blocked_failure_count=alert_summary.blocked_failure_count,
network_failure_count=alert_summary.network_failure_count,
blocked_failure_threshold=alert_summary.blocked_failure_threshold,
network_failure_threshold=alert_summary.network_failure_threshold,
cooldown_until=safety_state.get("cooldown_until"),
cooldown_remaining_seconds=safety_state.get("cooldown_remaining_seconds"),
safety_counters=safety_state.get("counters", {}),
)
elif pre_apply_state.get("cooldown_active") and not safety_state.get("cooldown_active"):
structured_log(
logger,
"info",
"ingestion.cooldown_cleared",
user_id=user_id,
crawl_run_id=int(run.id),
reason=pre_apply_state.get("cooldown_reason"),
cooldown_until=pre_apply_state.get("cooldown_until"),
)
def finalize_run_record(
*,
run: CrawlRun,
scholars: list[ScholarProfile],
progress: RunProgress,
failure_summary: RunFailureSummary,
alert_summary: RunAlertSummary,
idempotency_key: str | None,
run_status: RunStatus,
) -> None:
run.end_dt = datetime.now(UTC)
if run.status != RunStatus.CANCELED:
run.status = run_status
run.error_log = {
"scholar_results": progress.scholar_results,
"summary": {
"succeeded_count": progress.succeeded_count,
"failed_count": progress.failed_count,
"partial_count": progress.partial_count,
"failed_state_counts": failure_summary.failed_state_counts,
"failed_reason_counts": failure_summary.failed_reason_counts,
"scrape_failure_counts": failure_summary.scrape_failure_counts,
"retry_counts": {
"retries_scheduled_count": failure_summary.retries_scheduled_count,
"scholars_with_retries_count": failure_summary.scholars_with_retries_count,
"retry_exhausted_count": failure_summary.retry_exhausted_count,
},
"alert_thresholds": {
"blocked_failure_threshold": alert_summary.blocked_failure_threshold,
"network_failure_threshold": alert_summary.network_failure_threshold,
"retry_scheduled_threshold": alert_summary.retry_scheduled_threshold,
},
"alert_flags": alert_summary.alert_flags,
},
"meta": {"idempotency_key": idempotency_key} if idempotency_key else {},
}
def resolve_run_status(
*,
scholar_count: int,
succeeded_count: int,
failed_count: int,
partial_count: int,
) -> RunStatus:
if scholar_count == 0:
return RunStatus.SUCCESS
if failed_count == scholar_count:
return RunStatus.FAILED
if failed_count > 0 or partial_count > 0:
return RunStatus.PARTIAL_FAILURE
if succeeded_count > 0:
return RunStatus.SUCCESS
return RunStatus.FAILED
def build_failure_debug_context(
*,
fetch_result: FetchResult,
parsed_page: ParsedProfilePage,
attempt_log: list[dict[str, Any]],
page_logs: list[dict[str, Any]] | None = None,
exception: Exception | None = None,
) -> dict[str, Any]:
context: dict[str, Any] = {
"requested_url": fetch_result.requested_url,
"final_url": fetch_result.final_url,
"status_code": fetch_result.status_code,
"fetch_error": fetch_result.error,
"state_reason": parsed_page.state_reason,
"profile_name": parsed_page.profile_name,
"profile_image_url": parsed_page.profile_image_url,
"articles_range": parsed_page.articles_range,
"has_show_more_button": parsed_page.has_show_more_button,
"has_operation_error_banner": parsed_page.has_operation_error_banner,
"warning_codes": parsed_page.warnings,
"marker_counts_nonzero": {key: value for key, value in parsed_page.marker_counts.items() if value > 0},
"body_length": len(fetch_result.body),
"body_sha256": hashlib.sha256(fetch_result.body.encode("utf-8")).hexdigest() if fetch_result.body else None,
"body_excerpt": _build_body_excerpt(fetch_result.body),
"attempt_log": attempt_log,
}
if page_logs:
context["page_logs"] = page_logs
if exception is not None:
context["exception_type"] = type(exception).__name__
context["exception_message"] = str(exception)
return context
def complete_run_for_user(
*,
user_settings: Any,
run: CrawlRun,
scholars: list[ScholarProfile],
user_id: int,
progress: RunProgress,
idempotency_key: str | None,
alert_blocked_failure_threshold: int,
alert_network_failure_threshold: int,
alert_retry_scheduled_threshold: int,
) -> tuple[RunFailureSummary, RunAlertSummary]:
failure_summary = summarize_failures(scholar_results=progress.scholar_results)
alert_summary = build_alert_summary(
failure_summary=failure_summary,
alert_blocked_failure_threshold=alert_blocked_failure_threshold,
alert_network_failure_threshold=alert_network_failure_threshold,
alert_retry_scheduled_threshold=alert_retry_scheduled_threshold,
)
if alert_summary.alert_flags["blocked_failure_threshold_exceeded"]:
structured_log(
logger,
"warning",
"ingestion.alert_blocked_failure_threshold_exceeded",
user_id=user_id,
crawl_run_id=int(run.id),
blocked_failure_count=alert_summary.blocked_failure_count,
threshold=alert_summary.blocked_failure_threshold,
)
if alert_summary.alert_flags["network_failure_threshold_exceeded"]:
structured_log(
logger,
"warning",
"ingestion.alert_network_failure_threshold_exceeded",
user_id=user_id,
crawl_run_id=int(run.id),
network_failure_count=alert_summary.network_failure_count,
threshold=alert_summary.network_failure_threshold,
)
if alert_summary.alert_flags["retry_scheduled_threshold_exceeded"]:
structured_log(
logger,
"warning",
"ingestion.alert_retry_scheduled_threshold_exceeded",
user_id=user_id,
crawl_run_id=int(run.id),
retries_scheduled_count=failure_summary.retries_scheduled_count,
threshold=alert_summary.retry_scheduled_threshold,
)
apply_safety_outcome(user_settings=user_settings, run=run, user_id=user_id, alert_summary=alert_summary)
run_status = resolve_run_status(
scholar_count=len(scholars),
succeeded_count=progress.succeeded_count,
failed_count=progress.failed_count,
partial_count=progress.partial_count,
)
finalize_run_record(
run=run,
scholars=scholars,
progress=progress,
failure_summary=failure_summary,
alert_summary=alert_summary,
idempotency_key=idempotency_key,
run_status=run_status,
)
return failure_summary, alert_summary
def result_counters(result_entry: dict[str, Any]) -> tuple[int, int, int]:
outcome = str(result_entry.get("outcome", "")).strip().lower()
if outcome == "success":
return 1, 0, 0
if outcome == "partial":
return 1, 0, 1
if outcome == "failed":
return 0, 1, 0
raise RuntimeError(f"Unexpected scholar outcome label: {outcome!r}")
def find_scholar_result_index(
*,
scholar_results: list[dict[str, Any]],
scholar_profile_id: int,
) -> int | None:
for index, result_entry in enumerate(scholar_results):
current_scholar_id = _int_or_default(result_entry.get("scholar_profile_id"), 0)
if current_scholar_id == scholar_profile_id:
return index
return None
def adjust_progress_counts(
*,
progress: RunProgress,
succeeded_delta: int,
failed_delta: int,
partial_delta: int,
) -> None:
progress.succeeded_count += succeeded_delta
progress.failed_count += failed_delta
progress.partial_count += partial_delta
if progress.succeeded_count < 0 or progress.failed_count < 0 or progress.partial_count < 0:
raise RuntimeError("RunProgress counters entered invalid negative state.")
def apply_outcome_to_progress(
*,
progress: RunProgress,
outcome: ScholarProcessingOutcome,
) -> None:
scholar_profile_id = _int_or_default(outcome.result_entry.get("scholar_profile_id"), 0)
if scholar_profile_id <= 0:
raise RuntimeError("Scholar outcome missing valid scholar_profile_id.")
prior_index = find_scholar_result_index(
scholar_results=progress.scholar_results,
scholar_profile_id=scholar_profile_id,
)
next_succeeded, next_failed, next_partial = result_counters(outcome.result_entry)
if prior_index is None:
progress.scholar_results.append(outcome.result_entry)
adjust_progress_counts(
progress=progress,
succeeded_delta=next_succeeded,
failed_delta=next_failed,
partial_delta=next_partial,
)
return
previous_entry = progress.scholar_results[prior_index]
prev_succeeded, prev_failed, prev_partial = result_counters(previous_entry)
progress.scholar_results[prior_index] = outcome.result_entry
adjust_progress_counts(
progress=progress,
succeeded_delta=next_succeeded - prev_succeeded,
failed_delta=next_failed - prev_failed,
partial_delta=next_partial - prev_partial,
)
def run_execution_summary(
*,
run: CrawlRun,
scholars: list[ScholarProfile],
progress: RunProgress,
) -> RunExecutionSummary:
return RunExecutionSummary(
crawl_run_id=run.id,
status=run.status,
scholar_count=len(scholars),
succeeded_count=progress.succeeded_count,
failed_count=progress.failed_count,
partial_count=progress.partial_count,
new_publication_count=run.new_pub_count,
)

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from __future__ import annotations
import asyncio
import logging
from datetime import UTC, datetime
from typing import Any
from sqlalchemy.ext.asyncio import AsyncSession
from app.db.models import (
CrawlRun,
RunStatus,
ScholarProfile,
)
from app.logging_utils import structured_log
from app.services.ingestion import queue as queue_service
from app.services.ingestion.constants import (
RESUMABLE_PARTIAL_REASON_PREFIXES,
RESUMABLE_PARTIAL_REASONS,
)
from app.services.ingestion.pagination import PaginationEngine
from app.services.ingestion.publication_upsert import upsert_profile_publications
from app.services.ingestion.run_completion import apply_outcome_to_progress, build_failure_debug_context
from app.services.ingestion.types import (
PagedParseResult,
RunProgress,
ScholarProcessingOutcome,
)
from app.services.scholar.parser import ParseState
logger = logging.getLogger(__name__)
def assert_valid_paged_parse_result(
*,
scholar_id: str,
paged_parse_result: PagedParseResult,
) -> None:
parsed_page = paged_parse_result.parsed_page
if parsed_page.state in {ParseState.OK, ParseState.NO_RESULTS} and any(
code.startswith("layout_") for code in parsed_page.warnings
):
raise RuntimeError(f"Layout warning marked as terminal for scholar_id={scholar_id}.")
for publication in paged_parse_result.publications:
if not publication.title.strip():
raise RuntimeError(f"Malformed publication title for scholar_id={scholar_id}.")
if publication.citation_count is not None and int(publication.citation_count) < 0:
raise RuntimeError(f"Negative citation count for scholar_id={scholar_id}.")
def apply_first_page_profile_metadata(
*,
scholar: ScholarProfile,
paged_parse_result: PagedParseResult,
run_dt: datetime,
) -> None:
first_page = paged_parse_result.first_page_parsed_page
if first_page.profile_name and not (scholar.display_name or "").strip():
scholar.display_name = first_page.profile_name
if first_page.profile_image_url:
scholar.profile_image_url = first_page.profile_image_url
scholar.last_initial_page_checked_at = run_dt
def build_result_entry(
*,
scholar: ScholarProfile,
start_cstart: int,
paged_parse_result: PagedParseResult,
) -> dict[str, Any]:
parsed_page = paged_parse_result.parsed_page
return {
"scholar_profile_id": scholar.id,
"scholar_id": scholar.scholar_id,
"state": parsed_page.state.value,
"state_reason": parsed_page.state_reason,
"outcome": "failed",
"attempt_count": len(paged_parse_result.attempt_log),
"publication_count": len(paged_parse_result.publications),
"start_cstart": start_cstart,
"articles_range": parsed_page.articles_range,
"warnings": parsed_page.warnings,
"has_show_more_button": parsed_page.has_show_more_button,
"pages_fetched": paged_parse_result.pages_fetched,
"pages_attempted": paged_parse_result.pages_attempted,
"has_more_remaining": paged_parse_result.has_more_remaining,
"pagination_truncated_reason": paged_parse_result.pagination_truncated_reason,
"continuation_cstart": paged_parse_result.continuation_cstart,
"skipped_no_change": paged_parse_result.skipped_no_change,
"initial_page_fingerprint_sha256": paged_parse_result.first_page_fingerprint_sha256,
}
def skipped_no_change_outcome(
*,
scholar: ScholarProfile,
run_dt: datetime,
paged_parse_result: PagedParseResult,
result_entry: dict[str, Any],
) -> ScholarProcessingOutcome:
first_page = paged_parse_result.first_page_parsed_page
scholar.last_run_status = RunStatus.SUCCESS
scholar.last_run_dt = run_dt
result_entry["state"] = first_page.state.value
result_entry["state_reason"] = "no_change_initial_page_signature"
result_entry["outcome"] = "success"
result_entry["publication_count"] = 0
result_entry["warnings"] = first_page.warnings
result_entry["debug"] = {
"state_reason": "no_change_initial_page_signature",
"first_page_fingerprint_sha256": paged_parse_result.first_page_fingerprint_sha256,
"attempt_log": paged_parse_result.attempt_log,
"page_logs": paged_parse_result.page_logs,
}
return ScholarProcessingOutcome(
result_entry=result_entry,
succeeded_count_delta=1,
failed_count_delta=0,
partial_count_delta=0,
discovered_publication_count=0,
)
async def upsert_publications_outcome(
db_session: AsyncSession,
*,
run: CrawlRun,
scholar: ScholarProfile,
run_dt: datetime,
paged_parse_result: PagedParseResult,
result_entry: dict[str, Any],
) -> ScholarProcessingOutcome:
parsed_page = paged_parse_result.parsed_page
publications = paged_parse_result.publications
had_page_failure = parsed_page.state not in {ParseState.OK, ParseState.NO_RESULTS}
has_partial_set = len(publications) > 0 and had_page_failure
if (not had_page_failure) or has_partial_set:
return await _upsert_success_or_exception(
db_session,
run=run,
scholar=scholar,
run_dt=run_dt,
paged_parse_result=paged_parse_result,
result_entry=result_entry,
has_partial_publication_set=has_partial_set,
)
return _parse_failure_outcome(
scholar=scholar,
run_dt=run_dt,
paged_parse_result=paged_parse_result,
result_entry=result_entry,
)
async def _upsert_success_or_exception(
db_session: AsyncSession,
*,
run: CrawlRun,
scholar: ScholarProfile,
run_dt: datetime,
paged_parse_result: PagedParseResult,
result_entry: dict[str, Any],
has_partial_publication_set: bool,
) -> ScholarProcessingOutcome:
try:
return _upsert_success(
run=run,
scholar=scholar,
run_dt=run_dt,
paged_parse_result=paged_parse_result,
result_entry=result_entry,
has_partial_publication_set=has_partial_publication_set,
)
except Exception as exc:
return _upsert_exception_outcome(
run=run,
scholar=scholar,
run_dt=run_dt,
paged_parse_result=paged_parse_result,
result_entry=result_entry,
exc=exc,
)
def _upsert_success(
*,
run: CrawlRun,
scholar: ScholarProfile,
run_dt: datetime,
paged_parse_result: PagedParseResult,
result_entry: dict[str, Any],
has_partial_publication_set: bool,
) -> ScholarProcessingOutcome:
discovered_count = paged_parse_result.discovered_publication_count
is_partial = (
paged_parse_result.has_more_remaining
or paged_parse_result.pagination_truncated_reason is not None
or has_partial_publication_set
)
scholar.last_run_status = RunStatus.PARTIAL_FAILURE if is_partial else RunStatus.SUCCESS
scholar.last_run_dt = run_dt
if not is_partial and paged_parse_result.first_page_fingerprint_sha256:
scholar.last_initial_page_fingerprint_sha256 = paged_parse_result.first_page_fingerprint_sha256
result_entry["outcome"] = "partial" if is_partial else "success"
if is_partial:
result_entry["debug"] = build_failure_debug_context(
fetch_result=paged_parse_result.fetch_result,
parsed_page=paged_parse_result.parsed_page,
attempt_log=paged_parse_result.attempt_log,
page_logs=paged_parse_result.page_logs,
)
return ScholarProcessingOutcome(
result_entry=result_entry,
succeeded_count_delta=1,
failed_count_delta=0,
partial_count_delta=1 if is_partial else 0,
discovered_publication_count=discovered_count,
)
def _upsert_exception_outcome(
*,
run: CrawlRun,
scholar: ScholarProfile,
run_dt: datetime,
paged_parse_result: PagedParseResult,
result_entry: dict[str, Any],
exc: Exception,
) -> ScholarProcessingOutcome:
scholar.last_run_status = RunStatus.FAILED
scholar.last_run_dt = run_dt
result_entry["state"] = "ingestion_error"
result_entry["state_reason"] = "publication_upsert_exception"
result_entry["outcome"] = "failed"
result_entry["error"] = str(exc)
result_entry["debug"] = build_failure_debug_context(
fetch_result=paged_parse_result.fetch_result,
parsed_page=paged_parse_result.parsed_page,
attempt_log=paged_parse_result.attempt_log,
page_logs=paged_parse_result.page_logs,
exception=exc,
)
logger.exception(
"ingestion.scholar_failed",
extra={
"crawl_run_id": run.id,
"scholar_profile_id": scholar.id,
"scholar_id": scholar.scholar_id,
},
)
return ScholarProcessingOutcome(result_entry, 0, 1, 0, 0)
def _parse_failure_outcome(
*,
scholar: ScholarProfile,
run_dt: datetime,
paged_parse_result: PagedParseResult,
result_entry: dict[str, Any],
) -> ScholarProcessingOutcome:
scholar.last_run_status = RunStatus.FAILED
scholar.last_run_dt = run_dt
result_entry["debug"] = build_failure_debug_context(
fetch_result=paged_parse_result.fetch_result,
parsed_page=paged_parse_result.parsed_page,
attempt_log=paged_parse_result.attempt_log,
page_logs=paged_parse_result.page_logs,
)
structured_log(
logger,
"warning",
"ingestion.scholar_parse_failed",
scholar_profile_id=scholar.id,
scholar_id=scholar.scholar_id,
state=paged_parse_result.parsed_page.state.value,
state_reason=paged_parse_result.parsed_page.state_reason,
status_code=paged_parse_result.fetch_result.status_code,
)
return ScholarProcessingOutcome(result_entry, 0, 1, 0, 0)
async def sync_continuation_queue(
db_session: AsyncSession,
*,
user_id: int,
scholar: ScholarProfile,
run: CrawlRun,
start_cstart: int,
result_entry: dict[str, Any],
paged_parse_result: PagedParseResult,
auto_queue_continuations: bool,
queue_delay_seconds: int,
) -> None:
queue_reason, queue_cstart = resolve_continuation_queue_target(
outcome=str(result_entry.get("outcome", "")),
state=str(result_entry.get("state", "")),
pagination_truncated_reason=paged_parse_result.pagination_truncated_reason,
continuation_cstart=paged_parse_result.continuation_cstart,
fallback_cstart=start_cstart,
)
if auto_queue_continuations and queue_reason is not None:
await queue_service.upsert_job(
db_session,
user_id=user_id,
scholar_profile_id=scholar.id,
resume_cstart=queue_cstart,
reason=queue_reason,
run_id=run.id,
delay_seconds=queue_delay_seconds,
)
result_entry["continuation_enqueued"] = True
result_entry["continuation_reason"] = queue_reason
result_entry["continuation_cstart"] = queue_cstart
return
if await queue_service.clear_job_for_scholar(db_session, user_id=user_id, scholar_profile_id=scholar.id):
result_entry["continuation_cleared"] = True
def resolve_continuation_queue_target(
*,
outcome: str,
state: str,
pagination_truncated_reason: str | None,
continuation_cstart: int | None,
fallback_cstart: int,
) -> tuple[str | None, int]:
if outcome == "partial":
reason = (pagination_truncated_reason or "").strip()
if reason in RESUMABLE_PARTIAL_REASONS or reason.startswith(RESUMABLE_PARTIAL_REASON_PREFIXES):
return reason, queue_service.normalize_cstart(
continuation_cstart if continuation_cstart is not None else fallback_cstart
)
return None, queue_service.normalize_cstart(fallback_cstart)
if outcome == "failed" and state == ParseState.NETWORK_ERROR.value:
return "network_error_retry", queue_service.normalize_cstart(
continuation_cstart if continuation_cstart is not None else fallback_cstart
)
return None, queue_service.normalize_cstart(fallback_cstart)
async def process_scholar(
db_session: AsyncSession,
*,
pagination: PaginationEngine,
run: CrawlRun,
scholar: ScholarProfile,
user_id: int,
request_delay_seconds: int,
network_error_retries: int,
retry_backoff_seconds: float,
rate_limit_retries: int,
rate_limit_backoff_seconds: float,
max_pages_per_scholar: int,
page_size: int,
start_cstart: int,
auto_queue_continuations: bool,
queue_delay_seconds: int,
) -> ScholarProcessingOutcome:
try:
run_dt, paged_parse_result, result_entry = await _fetch_and_prepare_scholar_result(
db_session,
pagination=pagination,
run=run,
scholar=scholar,
user_id=user_id,
start_cstart=start_cstart,
request_delay_seconds=request_delay_seconds,
network_error_retries=network_error_retries,
retry_backoff_seconds=retry_backoff_seconds,
rate_limit_retries=rate_limit_retries,
rate_limit_backoff_seconds=rate_limit_backoff_seconds,
max_pages_per_scholar=max_pages_per_scholar,
page_size=page_size,
)
outcome = await _resolve_scholar_outcome(
db_session,
run=run,
scholar=scholar,
run_dt=run_dt,
paged_parse_result=paged_parse_result,
result_entry=result_entry,
)
await sync_continuation_queue(
db_session,
user_id=user_id,
scholar=scholar,
run=run,
start_cstart=start_cstart,
result_entry=outcome.result_entry,
paged_parse_result=paged_parse_result,
auto_queue_continuations=auto_queue_continuations,
queue_delay_seconds=queue_delay_seconds,
)
return outcome
except Exception as exc:
return unexpected_scholar_exception_outcome(
run=run,
scholar=scholar,
start_cstart=start_cstart,
exc=exc,
)
async def _fetch_and_prepare_scholar_result(
db_session: AsyncSession,
*,
pagination: PaginationEngine,
run: CrawlRun,
scholar: ScholarProfile,
user_id: int,
start_cstart: int,
request_delay_seconds: int,
network_error_retries: int,
retry_backoff_seconds: float,
rate_limit_retries: int,
rate_limit_backoff_seconds: float,
max_pages_per_scholar: int,
page_size: int,
) -> tuple[datetime, PagedParseResult, dict[str, Any]]:
run_dt = datetime.now(UTC)
paged_parse_result = await pagination.fetch_and_parse_all_pages(
scholar=scholar,
run=run,
db_session=db_session,
start_cstart=start_cstart,
request_delay_seconds=request_delay_seconds,
network_error_retries=network_error_retries,
retry_backoff_seconds=retry_backoff_seconds,
rate_limit_retries=rate_limit_retries,
rate_limit_backoff_seconds=rate_limit_backoff_seconds,
max_pages=max_pages_per_scholar,
page_size=page_size,
previous_initial_page_fingerprint_sha256=scholar.last_initial_page_fingerprint_sha256,
upsert_publications_fn=upsert_profile_publications,
)
assert_valid_paged_parse_result(scholar_id=scholar.scholar_id, paged_parse_result=paged_parse_result)
apply_first_page_profile_metadata(scholar=scholar, paged_parse_result=paged_parse_result, run_dt=run_dt)
parsed_page = paged_parse_result.parsed_page
structured_log(
logger,
"info",
"ingestion.scholar_parsed",
user_id=user_id,
crawl_run_id=run.id,
scholar_profile_id=scholar.id,
scholar_id=scholar.scholar_id,
state=parsed_page.state.value,
publication_count=len(paged_parse_result.publications),
has_show_more_button=parsed_page.has_show_more_button,
pages_fetched=paged_parse_result.pages_fetched,
pages_attempted=paged_parse_result.pages_attempted,
has_more_remaining=paged_parse_result.has_more_remaining,
pagination_truncated_reason=paged_parse_result.pagination_truncated_reason,
warning_count=len(parsed_page.warnings),
skipped_no_change=paged_parse_result.skipped_no_change,
)
result_entry = build_result_entry(
scholar=scholar,
start_cstart=start_cstart,
paged_parse_result=paged_parse_result,
)
return run_dt, paged_parse_result, result_entry
async def _resolve_scholar_outcome(
db_session: AsyncSession,
*,
run: CrawlRun,
scholar: ScholarProfile,
run_dt: datetime,
paged_parse_result: PagedParseResult,
result_entry: dict[str, Any],
) -> ScholarProcessingOutcome:
if paged_parse_result.skipped_no_change:
return skipped_no_change_outcome(
scholar=scholar,
run_dt=run_dt,
paged_parse_result=paged_parse_result,
result_entry=result_entry,
)
return await upsert_publications_outcome(
db_session,
run=run,
scholar=scholar,
run_dt=run_dt,
paged_parse_result=paged_parse_result,
result_entry=result_entry,
)
def unexpected_scholar_exception_outcome(
*,
run: CrawlRun,
scholar: ScholarProfile,
start_cstart: int,
exc: Exception,
) -> ScholarProcessingOutcome:
scholar.last_run_status = RunStatus.FAILED
scholar.last_run_dt = datetime.now(UTC)
logger.exception(
"ingestion.scholar_unexpected_failure",
extra={
"crawl_run_id": run.id,
"scholar_profile_id": scholar.id,
"scholar_id": scholar.scholar_id,
},
)
return ScholarProcessingOutcome(
result_entry={
"scholar_profile_id": scholar.id,
"scholar_id": scholar.scholar_id,
"state": "ingestion_error",
"state_reason": "scholar_processing_exception",
"outcome": "failed",
"attempt_count": 0,
"publication_count": 0,
"start_cstart": start_cstart,
"warnings": [],
"error": str(exc),
"debug": {"exception_type": type(exc).__name__, "exception_message": str(exc)},
},
succeeded_count_delta=0,
failed_count_delta=1,
partial_count_delta=0,
discovered_publication_count=0,
)
async def run_scholar_iteration(
db_session: AsyncSession,
*,
pagination: PaginationEngine,
run: CrawlRun,
scholars: list[ScholarProfile],
user_id: int,
start_cstart_map: dict[int, int],
request_delay_seconds: int,
network_error_retries: int,
retry_backoff_seconds: float,
rate_limit_retries: int,
rate_limit_backoff_seconds: float,
max_pages_per_scholar: int,
page_size: int,
auto_queue_continuations: bool,
queue_delay_seconds: int,
) -> RunProgress:
progress = RunProgress()
scholar_kwargs = {
"request_delay_seconds": request_delay_seconds,
"network_error_retries": network_error_retries,
"retry_backoff_seconds": retry_backoff_seconds,
"rate_limit_retries": rate_limit_retries,
"rate_limit_backoff_seconds": rate_limit_backoff_seconds,
"page_size": page_size,
}
# ── Pass 1: first page of every scholar (breadth-first) ──────────
first_pass_cstarts: dict[int, int] = {}
for index, scholar in enumerate(scholars):
await db_session.refresh(run)
if run.status == RunStatus.CANCELED:
structured_log(logger, "info", "ingestion.run_canceled", run_id=run.id, user_id=user_id)
return progress
if index > 0 and request_delay_seconds > 0:
await asyncio.sleep(float(request_delay_seconds))
start_cstart = int(start_cstart_map.get(int(scholar.id), 0))
outcome = await process_scholar(
db_session,
pagination=pagination,
run=run,
scholar=scholar,
user_id=user_id,
start_cstart=start_cstart,
max_pages_per_scholar=1,
auto_queue_continuations=False,
queue_delay_seconds=queue_delay_seconds,
**scholar_kwargs,
)
apply_outcome_to_progress(progress=progress, outcome=outcome)
resume_cstart = outcome.result_entry.get("continuation_cstart")
if resume_cstart is not None and int(resume_cstart) > start_cstart:
first_pass_cstarts[int(scholar.id)] = int(resume_cstart)
# ── Pass 2: remaining pages for each scholar (depth) ─────────────
remaining_max = max(max_pages_per_scholar - 1, 0)
if remaining_max <= 0:
return progress
for index, scholar in enumerate(scholars):
resume_cstart = first_pass_cstarts.get(int(scholar.id))
if resume_cstart is None:
continue
await db_session.refresh(run)
if run.status == RunStatus.CANCELED:
structured_log(logger, "info", "ingestion.run_canceled", run_id=run.id, user_id=user_id)
break
if index > 0 and request_delay_seconds > 0:
await asyncio.sleep(float(request_delay_seconds))
outcome = await process_scholar(
db_session,
pagination=pagination,
run=run,
scholar=scholar,
user_id=user_id,
start_cstart=resume_cstart,
max_pages_per_scholar=remaining_max,
auto_queue_continuations=auto_queue_continuations,
queue_delay_seconds=queue_delay_seconds,
**scholar_kwargs,
)
apply_outcome_to_progress(progress=progress, outcome=outcome)
return progress

View file

@ -62,6 +62,7 @@ class LiveScholarSource:
*,
timeout_seconds: float = 25.0,
min_interval_seconds: float | None = None,
rotate_user_agents: bool | None = None,
user_agents: list[str] | None = None,
) -> None:
self._timeout_seconds = timeout_seconds
@ -72,6 +73,38 @@ class LiveScholarSource:
)
self._min_interval_seconds = max(configured_interval, 0.0)
self._user_agents = user_agents or DEFAULT_USER_AGENTS
self._rotate_user_agents = (
bool(settings.scholar_http_rotate_user_agent)
if rotate_user_agents is None
else bool(rotate_user_agents)
)
configured_user_agent = settings.scholar_http_user_agent.strip()
self._configured_user_agent = configured_user_agent or None
self._accept_language = settings.scholar_http_accept_language.strip() or "en-US,en;q=0.9"
self._cookie_header = settings.scholar_http_cookie.strip() or None
self._stable_user_agent = self._resolve_initial_user_agent()
def _resolve_initial_user_agent(self) -> str:
if self._configured_user_agent is not None:
return self._configured_user_agent
return random.choice(self._user_agents)
def _resolve_user_agent_for_request(self) -> str:
if self._configured_user_agent is not None:
return self._configured_user_agent
if self._rotate_user_agents:
return random.choice(self._user_agents)
return self._stable_user_agent
def _request_headers(self) -> dict[str, str]:
headers = {
"User-Agent": self._resolve_user_agent_for_request(),
"Accept": "text/html,application/xhtml+xml",
"Accept-Language": self._accept_language,
}
if self._cookie_header is not None:
headers["Cookie"] = self._cookie_header
return headers
async def fetch_profile_html(self, scholar_id: str) -> FetchResult:
return await self.fetch_profile_page_html(
@ -116,15 +149,21 @@ class LiveScholarSource:
return await asyncio.to_thread(self._fetch_sync, requested_url)
def _build_request(self, requested_url: str) -> Request:
return Request(
requested_url,
headers={
"User-Agent": random.choice(self._user_agents),
"Accept": "text/html,application/xhtml+xml",
"Accept-Language": "en-US,en;q=0.9",
"Connection": "close",
},
)
return Request(requested_url, headers=self._request_headers())
@staticmethod
def _http_error_reason(*, status_code: int, final_url: str, body: str) -> str:
lowered_url = final_url.lower()
lowered_body = body.lower()
if "sorry/index" in lowered_url or "sorry/index" in lowered_body:
return "blocked_google_sorry_challenge"
if "our systems have detected" in lowered_body or "unusual traffic" in lowered_body:
return "blocked_unusual_traffic_detected"
if "automated queries" in lowered_body:
return "blocked_automated_queries_detected"
if status_code == 429:
return "blocked_http_429_rate_limited"
return f"http_error_status_{status_code}"
@staticmethod
def _http_error_body(exc: HTTPError) -> str:
@ -151,18 +190,27 @@ class LiveScholarSource:
@staticmethod
def _http_error_result(requested_url: str, exc: HTTPError) -> FetchResult:
final_url = exc.geturl()
body = LiveScholarSource._http_error_body(exc)
block_reason = LiveScholarSource._http_error_reason(
status_code=exc.code,
final_url=final_url,
body=body,
)
structured_log(
logger,
"warning",
"scholar_source.fetch_http_error",
requested_url=requested_url,
status_code=exc.code,
final_url=final_url,
block_reason=block_reason,
)
return FetchResult(
requested_url=requested_url,
status_code=exc.code,
final_url=exc.geturl(),
body=LiveScholarSource._http_error_body(exc),
final_url=final_url,
body=body,
error=str(exc),
)

View file

@ -38,18 +38,18 @@ def classify_block_or_captcha_reason(
) -> str | None:
if "accounts.google.com" in final_url and ("signin" in final_url or "servicelogin" in final_url):
return "blocked_accounts_redirect"
if status_code == 429:
return "blocked_http_429_rate_limited"
if status_code == 403:
if "recaptcha" in body_lowered or "captcha" in body_lowered or "sorry/index" in final_url:
return "blocked_http_403_captcha_challenge"
return "blocked_http_403_forbidden"
if "sorry/index" in final_url or "sorry/index" in body_lowered:
return "blocked_google_sorry_challenge"
if "our systems have detected" in body_lowered or "unusual traffic" in body_lowered:
return "blocked_unusual_traffic_detected"
if "automated queries" in body_lowered:
return "blocked_automated_queries_detected"
if status_code == 429:
return "blocked_http_429_rate_limited"
if status_code == 403:
if "recaptcha" in body_lowered or "captcha" in body_lowered:
return "blocked_http_403_captcha_challenge"
return "blocked_http_403_forbidden"
if "not a robot" in body_lowered:
return "blocked_not_a_robot_challenge"
if "recaptcha" in body_lowered:

View file

@ -235,6 +235,13 @@ class Settings:
"SCHOLAR_NAME_SEARCH_ALERT_COOLDOWN_REJECTIONS_THRESHOLD",
3,
)
scholar_http_user_agent: str = _env_str("SCHOLAR_HTTP_USER_AGENT", "")
scholar_http_rotate_user_agent: bool = _env_bool("SCHOLAR_HTTP_ROTATE_USER_AGENT", False)
scholar_http_accept_language: str = _env_str(
"SCHOLAR_HTTP_ACCEPT_LANGUAGE",
"en-US,en;q=0.9",
)
scholar_http_cookie: str = _env_str("SCHOLAR_HTTP_COOKIE", "")
unpaywall_enabled: bool = _env_bool("UNPAYWALL_ENABLED", True)
unpaywall_email: str = _env_str("UNPAYWALL_EMAIL", "")
unpaywall_timeout_seconds: float = _env_float("UNPAYWALL_TIMEOUT_SECONDS", 4.0)