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Merge remote-tracking branch 'upstream/dev' into feat/instagram-scraper

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Anish Sarkar 2026-07-11 04:31:11 +05:30
commit e38ca19b18
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surfsense_backend/tests/fixtures/tiktok/listing_item.json vendored Normal file
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"desc": "Pull Apart Garlic Bread "
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{
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{
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{
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},
{
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},
{
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},
{
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},
{
"desc": "* 380g flour (about 3 cups)"
},
{
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},
{
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},
{
"desc": ""
},
{
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{
"desc": ""
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},
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},
{
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},
{
"desc": "* Shredded cheese"
},
{
"desc": ""
},
{
"desc": "Instructions"
},
{
"desc": ""
},
{
"desc": "1. In a bowl, mix the sugar and yeast. Add the milk, then add the flour and mix until combined."
},
{
"desc": "2. Add the salt and softened butter, then coil fold until the butter is fully incorporated."
},
{
"desc": "3. Cover and let the dough rest for 2 hours or until doubled."
},
{
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},
{
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},
{
"desc": "6. Cut the dough in half, stack one half on top of the other, then cut into strips. Transfer the pieces into a loaf pan."
},
{
"desc": "7. Cover and let rest for 20 minutes."
},
{
"desc": "8. Bake at 370°F for 30 minutes, or until golden brown."
},
{
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},
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}

660
surfsense_backend/tests/fixtures/tiktok/video_item_struct.json vendored Normal file
View file

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"uri": "tiktok-obj/64x_Capcut3x.png",
"urlList": [
"https://p16-common-sign.tiktokcdn-us.com/tiktok-obj/64x_Capcut3x.png~tplv-tiktokx-origin.image?dr=9627&x-expires=1783544400&x-signature=SJ6q86bjtCoRArlVNS1DjDDFWoc%3D&t=4d5b0474&ps=13740610&shp=81f88b70&shcp=9b759fb9&idc=useast5",
"https://p19-common-sign.tiktokcdn-us.com/tiktok-obj/64x_Capcut3x.png~tplv-tiktokx-origin.image?dr=9627&x-expires=1783544400&x-signature=GOZUldk%2BrxINygKT0jwxeJz9VLQ%3D&t=4d5b0474&ps=13740610&shp=81f88b70&shcp=9b759fb9&idc=useast5",
"https://p16-common-sign.tiktokcdn-us.com/tiktok-obj/64x_Capcut3x.png~tplv-tiktokx-origin.jpeg?dr=9627&x-expires=1783544400&x-signature=NBemEand1jjAoV81cQ1ANQzVqqc%3D&t=4d5b0474&ps=13740610&shp=81f88b70&shcp=9b759fb9&idc=useast5"
],
"width": 64,
"height": 64
},
"extraInfo": {
"subtype": ""
}
}
],
"collected": false,
"channelTags": [],
"item_control": {
"can_repost": true
},
"IsAigc": false,
"AIGCDescription": "",
"backendSourceEventTracking": "",
"CategoryType": 111,
"textLanguage": "en",
"textTranslatable": true,
"authorStatsV2": {
"followerCount": "372600",
"followingCount": "0",
"heart": "8000000",
"heartCount": "8000000",
"videoCount": "279",
"diggCount": "223",
"friendCount": "0"
},
"isReviewing": false,
"creatorAIComment": {
"hasAITopic": false,
"categoryList": [],
"eligibleVideo": false,
"notEligibleReason": 101
}
}

1
surfsense_backend/tests/unit/agents/multi_agent_chat/test_subagent_composition.py
View file

@ -38,6 +38,7 @@ _EXPECTED_SUBAGENTS = frozenset(
"memory",
"onedrive",
"reddit",
"tiktok",
"web_crawler",
"youtube",
}

10
surfsense_backend/tests/unit/capabilities/access/test_agent_tools.py
View file

@ -78,8 +78,14 @@ async def test_registry_becomes_one_tool_per_verb_plus_readers(isolate):
tools = isolate.module.build_capability_tools(workspace_id=7, capabilities=caps)
by_name = {t.name: t for t in tools}
# One tool per verb, plus the two shared run-reader tools.
assert set(by_name) == {"web_scrape", "web_discover", "read_run", "search_run"}
# One tool per verb, plus the shared run-reader tools.
assert set(by_name) == {
"web_scrape",
"web_discover",
"read_run",
"search_run",
"export_run",
}
assert by_name["web_scrape"].description == "web.scrape does a thing."
assert by_name["web_scrape"].args_schema is _EchoInput

0
surfsense_backend/tests/unit/capabilities/tiktok/__init__.py Normal file
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0
surfsense_backend/tests/unit/capabilities/tiktok/comments/__init__.py Normal file
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48
surfsense_backend/tests/unit/capabilities/tiktok/comments/test_executor.py Normal file
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@ -0,0 +1,48 @@
"""``tiktok.comments`` executor: verb input → scraper args → typed comment items.
Boundary mocked: the proprietary comments actor (injected fake). NOT mocked: the
verb's own payload→args forwarding and the dict→CommentItem wrapping.
"""
from __future__ import annotations
import pytest
from app.capabilities.tiktok.comments.executor import build_comments_executor
from app.capabilities.tiktok.comments.schemas import CommentsInput, CommentsOutput
pytestmark = pytest.mark.unit
_VIDEO = "https://www.tiktok.com/@bob/video/123"
class _FakeComments:
"""Records the urls + kwargs it was called with; returns canned items."""
def __init__(self, items: list[dict]):
self._items = items
self.calls: list[tuple[list[str], int, int | None]] = []
async def __call__(
self, video_urls: list[str], *, per_video: int, limit: int | None = None
) -> list[dict]:
self.calls.append((video_urls, per_video, limit))
return self._items
async def test_forwards_urls_and_limits_and_wraps_items():
comments = _FakeComments([{"id": "1", "text": "hi"}])
execute = build_comments_executor(comments_fn=comments)
out = await execute(
CommentsInput(video_urls=[_VIDEO], comments_per_video=15, max_items=40)
)
assert isinstance(out, CommentsOutput)
assert len(out.items) == 1
assert out.items[0].text == "hi"
(urls, per_video, limit) = comments.calls[0]
assert urls == [_VIDEO]
assert per_video == 15
assert limit == 40

48
surfsense_backend/tests/unit/capabilities/tiktok/comments/test_schemas.py Normal file
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@ -0,0 +1,48 @@
"""``tiktok.comments`` input guards and billing: a video URL is required, bounded,
and ErrorItems are surfaced free."""
from __future__ import annotations
import pytest
from pydantic import ValidationError
from app.capabilities.tiktok.comments.schemas import CommentsInput, CommentsOutput
from app.capabilities.tiktok.scrape.schemas import MAX_TIKTOK_ITEMS, MAX_TIKTOK_SOURCES
pytestmark = pytest.mark.unit
_VIDEO = "https://www.tiktok.com/@bob/video/123"
def test_rejects_input_with_no_url():
with pytest.raises(ValidationError):
CommentsInput(video_urls=[])
def test_defaults_and_bounds():
payload = CommentsInput(video_urls=[_VIDEO])
assert payload.max_items == 20
assert payload.comments_per_video == 20
assert payload.estimated_units == 20
with pytest.raises(ValidationError):
CommentsInput(video_urls=[_VIDEO], max_items=0)
with pytest.raises(ValidationError):
CommentsInput(video_urls=[_VIDEO], max_items=MAX_TIKTOK_ITEMS + 1)
def test_rejects_more_urls_than_the_cap():
too_many = [f"{_VIDEO}{i}" for i in range(MAX_TIKTOK_SOURCES + 1)]
with pytest.raises(ValidationError):
CommentsInput(video_urls=too_many)
def test_error_items_are_not_billed():
# Real comments count; ErrorItems (bad URL / empty video) are surfaced free.
out = CommentsOutput(
items=[
{"id": "1", "text": "hi"},
{"errorCode": "no_comments", "input": "123", "error": "empty"},
]
)
assert len(out.items) == 2
assert out.billable_units == 1

0
surfsense_backend/tests/unit/capabilities/tiktok/scrape/__init__.py Normal file
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79
surfsense_backend/tests/unit/capabilities/tiktok/scrape/test_executor.py Normal file
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@ -0,0 +1,79 @@
"""``tiktok.scrape`` executor: verb input → actor input mapping → typed items.
Boundary mocked: the proprietary scraper (injected fake). NOT mocked: the verb's
own payload→TikTokScrapeInput mapping and the dict→TikTokVideoItem wrapping.
"""
from __future__ import annotations
import pytest
from app.capabilities.tiktok.scrape.executor import build_scrape_executor
from app.capabilities.tiktok.scrape.schemas import ScrapeInput, ScrapeOutput
from app.exceptions import ForbiddenError
from app.proprietary.platforms.tiktok import TikTokAccessBlockedError, TikTokScrapeInput
pytestmark = pytest.mark.unit
class _FakeScraper:
"""Records the actor input + limit it was called with; returns canned items."""
def __init__(self, items: list[dict]):
self._items = items
self.calls: list[tuple[TikTokScrapeInput, int | None]] = []
async def __call__(
self, actor_input: TikTokScrapeInput, *, limit: int | None = None
) -> list[dict]:
self.calls.append((actor_input, limit))
return self._items
async def test_maps_urls_to_start_urls_and_wraps_items():
scraper = _FakeScraper([{"id": "123", "text": "hello"}])
execute = build_scrape_executor(scrape_fn=scraper)
out = await execute(ScrapeInput(urls=["https://www.tiktok.com/@nasa/video/123"]))
assert isinstance(out, ScrapeOutput)
assert len(out.items) == 1
assert out.items[0].id == "123"
(actor_input, _limit) = scraper.calls[0]
assert [u.url for u in actor_input.startUrls] == [
"https://www.tiktok.com/@nasa/video/123"
]
async def test_forwards_typed_sources_and_limit():
scraper = _FakeScraper([])
execute = build_scrape_executor(scrape_fn=scraper)
await execute(
ScrapeInput(
profiles=["nasa"],
hashtags=["food"],
search_queries=["cats"],
results_per_page=7,
max_items=25,
)
)
(actor_input, limit) = scraper.calls[0]
assert actor_input.profiles == ["nasa"]
assert actor_input.hashtags == ["food"]
assert actor_input.searchQueries == ["cats"]
assert actor_input.resultsPerPage == 7
# The outer collection limit is the caller's total-item cap.
assert limit == 25
async def test_access_blocked_maps_to_forbidden():
async def _blocked(actor_input: TikTokScrapeInput, *, limit: int | None = None):
raise TikTokAccessBlockedError("all IPs refused")
execute = build_scrape_executor(scrape_fn=_blocked)
with pytest.raises(ForbiddenError):
await execute(ScrapeInput(hashtags=["food"]))

58
surfsense_backend/tests/unit/capabilities/tiktok/scrape/test_schemas.py Normal file
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@ -0,0 +1,58 @@
"""``tiktok.scrape`` input guards: a source is required and the batch is bounded."""
from __future__ import annotations
import pytest
from pydantic import ValidationError
from app.capabilities.tiktok.scrape.schemas import (
MAX_TIKTOK_ITEMS,
MAX_TIKTOK_SOURCES,
ScrapeInput,
ScrapeOutput,
)
pytestmark = pytest.mark.unit
def test_rejects_input_with_no_source():
with pytest.raises(ValidationError):
ScrapeInput()
def test_accepts_urls_only():
payload = ScrapeInput(urls=["https://www.tiktok.com/@nasa"])
assert payload.profiles == []
def test_accepts_hashtags_only():
payload = ScrapeInput(hashtags=["food"])
assert payload.hashtags == ["food"]
def test_defaults_and_bounds():
payload = ScrapeInput(hashtags=["food"])
assert payload.max_items == 10
assert payload.results_per_page == 10
with pytest.raises(ValidationError):
ScrapeInput(hashtags=["food"], max_items=0)
with pytest.raises(ValidationError):
ScrapeInput(hashtags=["food"], max_items=MAX_TIKTOK_ITEMS + 1)
def test_rejects_more_sources_than_the_cap():
too_many = [f"tag{i}" for i in range(MAX_TIKTOK_SOURCES + 1)]
with pytest.raises(ValidationError):
ScrapeInput(hashtags=too_many)
def test_error_items_are_not_billed():
# Real videos count; ErrorItems (blocked/empty targets) are surfaced free.
out = ScrapeOutput(
items=[
{"id": "1", "webVideoUrl": "https://tiktok.com/@a/video/1"},
{"errorCode": "no_items", "input": "nasa", "error": "blocked"},
]
)
assert len(out.items) == 2
assert out.billable_units == 1

57
surfsense_backend/tests/unit/capabilities/tiktok/test_registry.py Normal file
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@ -0,0 +1,57 @@
"""The tiktok namespace registers its verb as one Capability the doors/agent read."""
from __future__ import annotations
import pytest
from app.capabilities import (
tiktok, # noqa: F401 — importing the namespace registers its verbs
)
from app.capabilities.core import BillingUnit
from app.capabilities.core.store import get_capability
from app.capabilities.tiktok.comments.schemas import CommentsInput, CommentsOutput
from app.capabilities.tiktok.scrape.schemas import ScrapeInput, ScrapeOutput
from app.capabilities.tiktok.trending.schemas import TrendingInput, TrendingOutput
from app.capabilities.tiktok.user_search.schemas import (
UserSearchInput,
UserSearchOutput,
)
pytestmark = pytest.mark.unit
def test_tiktok_scrape_is_registered_and_billed_per_video():
cap = get_capability("tiktok.scrape")
assert cap.name == "tiktok.scrape"
assert cap.input_schema is ScrapeInput
assert cap.output_schema is ScrapeOutput
assert cap.billing_unit is BillingUnit.TIKTOK_VIDEO
def test_tiktok_user_search_is_registered_and_billed_per_profile():
cap = get_capability("tiktok.user_search")
assert cap.name == "tiktok.user_search"
assert cap.input_schema is UserSearchInput
assert cap.output_schema is UserSearchOutput
assert cap.billing_unit is BillingUnit.TIKTOK_USER
def test_tiktok_comments_is_registered_and_billed_per_comment():
cap = get_capability("tiktok.comments")
assert cap.name == "tiktok.comments"
assert cap.input_schema is CommentsInput
assert cap.output_schema is CommentsOutput
assert cap.billing_unit is BillingUnit.TIKTOK_COMMENT
def test_tiktok_trending_is_registered_and_billed_per_video():
cap = get_capability("tiktok.trending")
assert cap.name == "tiktok.trending"
assert cap.input_schema is TrendingInput
assert cap.output_schema is TrendingOutput
# Trending returns videos, so it shares the per-video meter.
assert cap.billing_unit is BillingUnit.TIKTOK_VIDEO

0
surfsense_backend/tests/unit/capabilities/tiktok/trending/__init__.py Normal file
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38
surfsense_backend/tests/unit/capabilities/tiktok/trending/test_executor.py Normal file
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@ -0,0 +1,38 @@
"""``tiktok.trending`` executor: verb input → scraper count → typed video items.
Boundary mocked: the proprietary trending actor (injected fake). NOT mocked: the
verb's own count forwarding and the dict→TikTokVideoItem wrapping.
"""
from __future__ import annotations
import pytest
from app.capabilities.tiktok.trending.executor import build_trending_executor
from app.capabilities.tiktok.trending.schemas import TrendingInput, TrendingOutput
pytestmark = pytest.mark.unit
class _FakeTrending:
"""Records the count it was called with; returns canned items."""
def __init__(self, items: list[dict]):
self._items = items
self.calls: list[int] = []
async def __call__(self, *, count: int) -> list[dict]:
self.calls.append(count)
return self._items
async def test_forwards_count_and_wraps_items():
trending = _FakeTrending([{"id": "1", "text": "viral"}])
execute = build_trending_executor(trending_fn=trending)
out = await execute(TrendingInput(max_items=30))
assert isinstance(out, TrendingOutput)
assert len(out.items) == 1
assert out.items[0].id == "1"
assert trending.calls == [30]

33
surfsense_backend/tests/unit/capabilities/tiktok/trending/test_schemas.py Normal file
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@ -0,0 +1,33 @@
"""``tiktok.trending`` input guards and billing: bounded count, ErrorItems free."""
from __future__ import annotations
import pytest
from pydantic import ValidationError
from app.capabilities.tiktok.scrape.schemas import MAX_TIKTOK_ITEMS
from app.capabilities.tiktok.trending.schemas import TrendingInput, TrendingOutput
pytestmark = pytest.mark.unit
def test_defaults_and_bounds():
payload = TrendingInput()
assert payload.max_items == 20
assert payload.estimated_units == 20
with pytest.raises(ValidationError):
TrendingInput(max_items=0)
with pytest.raises(ValidationError):
TrendingInput(max_items=MAX_TIKTOK_ITEMS + 1)
def test_error_items_are_not_billed():
# Real videos count; an ErrorItem (empty/withheld feed) is surfaced free.
out = TrendingOutput(
items=[
{"id": "1", "webVideoUrl": "https://tiktok.com/@a/video/1"},
{"errorCode": "no_items", "input": "explore", "error": "empty"},
]
)
assert len(out.items) == 2
assert out.billable_units == 1

0
surfsense_backend/tests/unit/capabilities/tiktok/user_search/__init__.py Normal file
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49
surfsense_backend/tests/unit/capabilities/tiktok/user_search/test_executor.py Normal file
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@ -0,0 +1,49 @@
"""``tiktok.user_search`` executor: verb input → search args → typed profile items.
Boundary mocked: the proprietary search actor (injected fake). NOT mocked: the
verb's own payload→args forwarding and the dict→TikTokProfileItem wrapping.
"""
from __future__ import annotations
import pytest
from app.capabilities.tiktok.user_search.executor import build_user_search_executor
from app.capabilities.tiktok.user_search.schemas import (
UserSearchInput,
UserSearchOutput,
)
pytestmark = pytest.mark.unit
class _FakeSearch:
"""Records the queries + kwargs it was called with; returns canned items."""
def __init__(self, items: list[dict]):
self._items = items
self.calls: list[tuple[list[str], int, int | None]] = []
async def __call__(
self, queries: list[str], *, per_query: int, limit: int | None = None
) -> list[dict]:
self.calls.append((queries, per_query, limit))
return self._items
async def test_forwards_queries_and_limits_and_wraps_items():
search = _FakeSearch([{"id": "1", "name": "nasa"}])
execute = build_user_search_executor(search_fn=search)
out = await execute(
UserSearchInput(queries=["nasa"], results_per_query=7, max_items=25)
)
assert isinstance(out, UserSearchOutput)
assert len(out.items) == 1
assert out.items[0].name == "nasa"
(queries, per_query, limit) = search.calls[0]
assert queries == ["nasa"]
assert per_query == 7
assert limit == 25

49
surfsense_backend/tests/unit/capabilities/tiktok/user_search/test_schemas.py Normal file
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@ -0,0 +1,49 @@
"""``tiktok.user_search`` input guards and billing: a query is required, bounded,
and ErrorItems are surfaced free."""
from __future__ import annotations
import pytest
from pydantic import ValidationError
from app.capabilities.tiktok.scrape.schemas import MAX_TIKTOK_ITEMS, MAX_TIKTOK_SOURCES
from app.capabilities.tiktok.user_search.schemas import (
UserSearchInput,
UserSearchOutput,
)
pytestmark = pytest.mark.unit
def test_rejects_input_with_no_query():
with pytest.raises(ValidationError):
UserSearchInput(queries=[])
def test_defaults_and_bounds():
payload = UserSearchInput(queries=["nasa"])
assert payload.max_items == 10
assert payload.results_per_query == 10
assert payload.estimated_units == 10
with pytest.raises(ValidationError):
UserSearchInput(queries=["nasa"], max_items=0)
with pytest.raises(ValidationError):
UserSearchInput(queries=["nasa"], max_items=MAX_TIKTOK_ITEMS + 1)
def test_rejects_more_queries_than_the_cap():
too_many = [f"q{i}" for i in range(MAX_TIKTOK_SOURCES + 1)]
with pytest.raises(ValidationError):
UserSearchInput(queries=too_many)
def test_error_items_are_not_billed():
# Real accounts count; ErrorItems (empty/withheld queries) are surfaced free.
out = UserSearchOutput(
items=[
{"id": "1", "name": "nasa"},
{"errorCode": "no_users", "input": "ghost", "error": "empty"},
]
)
assert len(out.items) == 2
assert out.billable_units == 1

0
surfsense_backend/tests/unit/platforms/tiktok/__init__.py Normal file
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89
surfsense_backend/tests/unit/platforms/tiktok/test_comments.py Normal file
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@ -0,0 +1,89 @@
"""Comments orchestration over a fake fetch (no network).
Drives ``scrape_tiktok_comments``: video URLs -> captured raw comments -> items.
"""
from __future__ import annotations
from typing import Any
from app.proprietary.platforms.tiktok import scrape_tiktok_comments
_VIDEO = "https://www.tiktok.com/@bob/video/123"
def _comment(cid: str, reply_id: str = "0") -> dict[str, Any]:
return {
"cid": cid,
"text": f"comment {cid}",
"digg_count": 7,
"reply_comment_total": 2,
"create_time": 1700000000,
"reply_id": reply_id,
"user": {
"uid": "u1",
"unique_id": "alice",
"nickname": "Alice",
"avatar_thumb": {"url_list": ["https://cdn/a.webp"]},
},
}
async def test_comments_parse_dedupe_and_cap():
async def fake_fetch(_url: str, _cap: int) -> list[dict]:
return [_comment("1"), _comment("1"), _comment("2", reply_id="1")]
items = await scrape_tiktok_comments(
[_VIDEO], per_video=2, fetch_comments_fn=fake_fetch
)
assert [i["id"] for i in items] == ["1", "2"]
first = items[0]
assert first["text"] == "comment 1"
assert first["videoWebUrl"] == _VIDEO
assert first["diggCount"] == 7
assert first["uniqueId"] == "alice"
assert first["avatar"] == "https://cdn/a.webp"
assert first["createTimeISO"] is not None
assert first["repliesToId"] is None # reply_id "0" == top-level
assert first["scrapedAt"] is not None
assert items[1]["repliesToId"] == "1" # a reply carries its parent id
async def test_empty_video_emits_error_item():
async def fake_fetch(_url: str, _cap: int) -> list[dict]:
return []
items = await scrape_tiktok_comments(
[_VIDEO], per_video=5, fetch_comments_fn=fake_fetch
)
assert len(items) == 1
assert items[0]["errorCode"] == "no_comments"
assert items[0]["input"] == "123"
async def test_non_video_url_emits_bad_url_error():
async def fake_fetch(_url: str, _cap: int) -> list[dict]:
raise AssertionError("should not fetch for a non-video URL")
items = await scrape_tiktok_comments(
["https://www.tiktok.com/@bob"], per_video=5, fetch_comments_fn=fake_fetch
)
assert len(items) == 1
assert items[0]["errorCode"] == "bad_url"
async def test_comments_honor_limit_across_videos():
async def fake_fetch(_url: str, _cap: int) -> list[dict]:
return [_comment("1"), _comment("2")]
items = await scrape_tiktok_comments(
[_VIDEO, "https://www.tiktok.com/@bob/video/456"],
per_video=5,
limit=3,
fetch_comments_fn=fake_fetch,
)
assert len(items) == 3

135
surfsense_backend/tests/unit/platforms/tiktok/test_fetch_resilience.py Normal file
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@ -0,0 +1,135 @@
"""Fetch-seam resilience for the TikTok scraper (no network, fake sessions).
Fake sessions drive the cookie warm-up + rotate-on-block + backoff branches
deterministically; a live first IP normally warms and returns 200s.
"""
from __future__ import annotations
from app.proprietary.platforms.tiktok.session import (
TikTokAccessBlockedError,
client,
)
from app.proprietary.platforms.tiktok.session.proxy import _current_session
_HTML = "<html><body>ok</body></html>"
class _FakePage:
def __init__(self, status: int, *, cookies: dict | None = None, body: str = _HTML):
self.status = status
self.cookies = cookies or {}
self.body = body
@property
def text(self) -> str:
return self.body
class _FakeSession:
"""One 'IP': homepage warm mints ``ttwid`` per flag; page GETs return ``status``."""
def __init__(self, status: int = 200, *, warms: bool = True, body: str = _HTML):
self.status = status
self.warms = warms
self.body = body
self.page_calls = 0
self.warm_calls = 0
async def get(self, url, headers=None, cookies=None):
if url.rstrip("/") == "https://www.tiktok.com":
self.warm_calls += 1
return _FakePage(200, cookies={"ttwid": "x"} if self.warms else {})
self.page_calls += 1
return _FakePage(self.status, body=self.body)
class _FakeHolder:
def __init__(self, sessions: list[_FakeSession]) -> None:
self._sessions = sessions
self.session = sessions[0]
self.rotations = 0
self.warmed = False
async def rotate(self):
self.rotations += 1
self.session = self._sessions[min(self.rotations, len(self._sessions) - 1)]
self.warmed = False
return self.session
async def pace(self) -> None:
return None
async def close(self) -> None:
return None
def _no_sleep(monkeypatch) -> None:
async def _noop(_seconds):
return None
monkeypatch.setattr(client.asyncio, "sleep", _noop)
async def test_warms_then_returns_html():
holder = _FakeHolder([_FakeSession(200, warms=True)])
token = _current_session.set(holder)
try:
result = await client.fetch_html("https://www.tiktok.com/@scout2015")
finally:
_current_session.reset(token)
assert result == _HTML
assert holder.rotations == 0
assert holder.session.warm_calls == 1
async def test_rotates_when_warm_fails_then_succeeds():
holder = _FakeHolder([_FakeSession(200, warms=False), _FakeSession(200, warms=True)])
token = _current_session.set(holder)
try:
result = await client.fetch_html("https://www.tiktok.com/@scout2015")
finally:
_current_session.reset(token)
assert result == _HTML
assert holder.rotations == 1
async def test_404_returns_none_without_rotating():
holder = _FakeHolder([_FakeSession(404), _FakeSession(200)])
token = _current_session.set(holder)
try:
result = await client.fetch_html("https://www.tiktok.com/@missing")
finally:
_current_session.reset(token)
assert result is None
assert holder.rotations == 0
async def test_rotates_and_rewarms_on_403():
holder = _FakeHolder([_FakeSession(403), _FakeSession(200, warms=True)])
token = _current_session.set(holder)
try:
result = await client.fetch_html("https://www.tiktok.com/@scout2015")
finally:
_current_session.reset(token)
assert result == _HTML
assert holder.rotations == 1
assert holder.session.warm_calls == 1
async def test_persistent_403_raises_blocked(monkeypatch):
_no_sleep(monkeypatch)
holder = _FakeHolder(
[_FakeSession(403) for _ in range(client._MAX_ROTATIONS + 1)]
)
token = _current_session.set(holder)
try:
raised = False
try:
await client.fetch_html("https://www.tiktok.com/@scout2015")
except TikTokAccessBlockedError:
raised = True
finally:
_current_session.reset(token)
assert raised
assert holder.rotations == client._MAX_ROTATIONS

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"""Rehydration-blob extraction from TikTok page HTML (pure, no network)."""
from __future__ import annotations
from app.proprietary.platforms.tiktok.extraction import extract_rehydration_data
_BLOB = (
'<html><body><script id="__UNIVERSAL_DATA_FOR_REHYDRATION__" '
'type="application/json">'
'{"__DEFAULT_SCOPE__":{"webapp.video-detail":{"itemInfo":{"itemStruct":'
'{"id":"123"}}}}}'
"</script></body></html>"
)
def test_extracts_default_scope_from_blob():
data = extract_rehydration_data(_BLOB)
assert data is not None
item = data["__DEFAULT_SCOPE__"]["webapp.video-detail"]["itemInfo"]["itemStruct"]
assert item["id"] == "123"
def test_returns_none_when_blob_absent():
assert extract_rehydration_data("<html><body>no blob here</body></html>") is None
def test_returns_none_when_blob_json_malformed():
broken = (
'<script id="__UNIVERSAL_DATA_FOR_REHYDRATION__" '
'type="application/json">{not json}</script>'
)
assert extract_rehydration_data(broken) is None

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"""Input surface for the TikTok scraper (anonymous, Apify-shaped)."""
from __future__ import annotations
from app.proprietary.platforms.tiktok.schemas import TikTokScrapeInput
def test_input_has_no_auth_fields():
forbidden = {"username", "password", "token", "login", "auth", "credentials"}
assert forbidden.isdisjoint(TikTokScrapeInput.model_fields)
def test_input_defaults():
model = TikTokScrapeInput()
assert model.resultsPerPage == 1
assert model.profileSorting == "latest"
assert model.proxyCountryCode == "None"
assert model.hashtags == []
assert model.profiles == []
assert model.searchQueries == []
assert model.postURLs == []
def test_input_allows_extra_inert_fields():
model = TikTokScrapeInput(shouldDownloadVideos=True, videoKvStoreIdOrName="x")
assert model.model_dump().get("shouldDownloadVideos") is True

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"""Pulling item structs out of captured item_list / search API responses."""
from __future__ import annotations
from app.proprietary.platforms.tiktok.extraction import items_from_response
def test_reads_item_list_shape():
body = {"itemList": [{"id": "1"}, {"id": "2"}], "hasMore": True}
assert items_from_response(body) == [{"id": "1"}, {"id": "2"}]
def test_reads_search_data_shape():
body = {"data": [{"type": 1, "item": {"id": "9"}}, {"type": 4, "item": {}}]}
assert items_from_response(body) == [{"id": "9"}, {}]
def test_skips_malformed_entries():
body = {"data": [{"type": 1}, "junk", {"item": {"id": "7"}}]}
assert items_from_response(body) == [{"id": "7"}]
def test_returns_empty_for_unrelated_json():
assert items_from_response({"statusCode": 0}) == []
assert items_from_response("nope") == []

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"""Retry-on-empty for the browser ``item_list`` seam (no browser, fake fetch).
``fetch_item_list`` re-fetches an empty capture up to ``TIKTOK_LISTING_MAX_ATTEMPTS``
so a flagged rotating exit IP on the first draw doesn't collapse straight to an
``ErrorItem``. These drive that loop deterministically by faking ``_fetch_sync``.
"""
from __future__ import annotations
from app.proprietary.platforms.tiktok.session import listing
class _Fake:
"""Returns each queued result once, repeating the last; counts calls."""
def __init__(self, results: list[list[dict]]):
self.results = results
self.calls = 0
def __call__(self, *args, **kwargs):
out = self.results[min(self.calls, len(self.results) - 1)]
self.calls += 1
return out
def _patch(monkeypatch, fake: _Fake, attempts: int) -> None:
monkeypatch.setattr(listing, "_fetch_sync", fake)
monkeypatch.setattr(listing.config, "TIKTOK_LISTING_MAX_ATTEMPTS", attempts)
async def test_returns_first_nonempty_without_retrying(monkeypatch):
fake = _Fake([[{"id": "1"}]])
_patch(monkeypatch, fake, 3)
items = await listing.fetch_item_list("https://tt/@x", 5)
assert items == [{"id": "1"}]
assert fake.calls == 1 # a draw with items never retries
async def test_retries_past_empty_draws_then_hits(monkeypatch):
fake = _Fake([[], [], [{"id": "9"}]])
_patch(monkeypatch, fake, 3)
items = await listing.fetch_item_list("https://tt/@x", 5)
assert items == [{"id": "9"}]
assert fake.calls == 3 # two empty (flagged-IP) draws retried, third lands
async def test_stops_at_attempt_ceiling_when_always_empty(monkeypatch):
fake = _Fake([[]])
_patch(monkeypatch, fake, 3)
items = await listing.fetch_item_list("https://tt/@x", 5)
assert items == []
assert fake.calls == 3 # capped; caller then emits the ErrorItem
async def test_single_attempt_config_disables_retry(monkeypatch):
fake = _Fake([[]])
_patch(monkeypatch, fake, 1)
items = await listing.fetch_item_list("https://tt/@x", 5)
assert items == []
assert fake.calls == 1 # static-IP setups opt out via attempts=1

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"""End-to-end orchestration over a fake fetch (no network).
Drives the public collector: input -> target -> blob-first flow -> items.
"""
from __future__ import annotations
import json
from app.proprietary.platforms.tiktok import TikTokScrapeInput, scrape_tiktok
async def _no_html(_url: str) -> str:
"""Fetch stub that yields no rehydration blob (skips profile metadata)."""
return ""
def _profile_page(username: str, followers: int, videos: int) -> str:
blob = {
"__DEFAULT_SCOPE__": {
"webapp.user-detail": {
"userInfo": {
"user": {
"id": "u1",
"uniqueId": username,
"nickname": "Nick",
"verified": True,
},
"stats": {"followerCount": followers, "videoCount": videos},
}
}
}
}
return (
'<script id="__UNIVERSAL_DATA_FOR_REHYDRATION__" '
f'type="application/json">{json.dumps(blob)}</script>'
)
def _video_page(video_id: str, username: str) -> str:
blob = {
"__DEFAULT_SCOPE__": {
"webapp.video-detail": {
"itemInfo": {
"itemStruct": {
"id": video_id,
"desc": "hello",
"author": {"uniqueId": username},
"stats": {"diggCount": 5},
}
}
}
}
}
return (
'<script id="__UNIVERSAL_DATA_FOR_REHYDRATION__" '
f'type="application/json">{json.dumps(blob)}</script>'
)
async def test_scrape_video_url_returns_parsed_item():
url = "https://www.tiktok.com/@scout2015/video/123"
async def fake_fetch(_url: str) -> str:
return _video_page("123", "scout2015")
items = await scrape_tiktok(TikTokScrapeInput(postURLs=[url]), fetch=fake_fetch)
assert len(items) == 1
assert items[0]["id"] == "123"
assert items[0]["diggCount"] == 5
assert items[0]["webVideoUrl"] == "https://www.tiktok.com/@scout2015/video/123"
assert items[0]["scrapedAt"] is not None
async def test_scrape_honors_limit_across_targets():
urls = [
"https://www.tiktok.com/@a/video/1",
"https://www.tiktok.com/@b/video/2",
]
async def fake_fetch(url: str) -> str:
vid = url.rsplit("/", 1)[1]
user = url.split("@")[1].split("/")[0]
return _video_page(vid, user)
items = await scrape_tiktok(
TikTokScrapeInput(postURLs=urls), limit=1, fetch=fake_fetch
)
assert len(items) == 1
async def test_scrape_skips_unrecognized_urls():
async def fake_fetch(_url: str) -> str:
return ""
items = await scrape_tiktok(
TikTokScrapeInput(postURLs=["https://example.com/x"]), fetch=fake_fetch
)
assert items == []
async def test_scrape_profile_returns_listing_items():
async def fake_listing(_url: str, _count: int) -> list[dict]:
return [
{"id": "1", "author": {"uniqueId": "a"}},
{"id": "2", "author": {"uniqueId": "a"}},
]
items = await scrape_tiktok(
TikTokScrapeInput(profiles=["a"], resultsPerPage=5),
fetch=_no_html,
fetch_listing=fake_listing,
)
assert [i["id"] for i in items] == ["1", "2"]
assert items[0]["webVideoUrl"] == "https://www.tiktok.com/@a/video/1"
async def test_profile_emits_metadata_then_videos():
# The blob metadata item comes first and is billable; videos follow.
async def fake_fetch(_url: str) -> str:
return _profile_page("a", followers=100, videos=2)
async def fake_listing(_url: str, _count: int) -> list[dict]:
return [{"id": "1", "author": {"uniqueId": "a"}}]
items = await scrape_tiktok(
TikTokScrapeInput(profiles=["a"], resultsPerPage=5),
fetch=fake_fetch,
fetch_listing=fake_listing,
)
assert len(items) == 2
profile, video = items
assert "webVideoUrl" not in profile # metadata item, not a video
assert profile["name"] == "a"
assert profile["fans"] == 100
assert profile["verified"] is True
assert profile["scrapedAt"] is not None
assert video["id"] == "1"
async def test_profile_metadata_survives_blocked_listing():
# Videos withheld from anonymous access: we still return the profile metadata
# (not just an ErrorItem), so a blocked profile isn't a total loss.
async def fake_fetch(_url: str) -> str:
return _profile_page("a", followers=100, videos=9)
async def fake_listing(_url: str, _count: int) -> list[dict]:
return []
items = await scrape_tiktok(
TikTokScrapeInput(profiles=["a"], resultsPerPage=5),
fetch=fake_fetch,
fetch_listing=fake_listing,
)
assert len(items) == 2
assert items[0]["name"] == "a"
assert items[0]["fans"] == 100
assert items[1]["errorCode"] == "no_items"
async def test_listing_dedupes_then_caps_per_target():
async def fake_listing(_url: str, _count: int) -> list[dict]:
return [{"id": "1"}, {"id": "1"}, {"id": "2"}, {"id": "3"}]
items = await scrape_tiktok(
TikTokScrapeInput(hashtags=["x"], resultsPerPage=2), fetch_listing=fake_listing
)
assert [i["id"] for i in items] == ["1", "2"]
async def test_empty_listing_emits_error_item():
# A trust-gated/empty feed (0 videos) must surface one honest ErrorItem,
# tagged with errorCode, rather than vanishing silently.
async def fake_listing(_url: str, _count: int) -> list[dict]:
return []
items = await scrape_tiktok(
TikTokScrapeInput(profiles=["nasa"], resultsPerPage=5),
fetch=_no_html,
fetch_listing=fake_listing,
)
assert len(items) == 1
assert items[0]["errorCode"] == "no_items"
assert items[0]["input"] == "nasa"

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"""Raw TikTok payload -> normalized item mapping (pure, no network)."""
from __future__ import annotations
from app.proprietary.platforms.tiktok.extraction import parse_author, parse_video
_ITEM_STRUCT = {
"id": "7534061113365859586",
"desc": "haha #comeramabanana",
"createTime": 1_700_000_000,
"author": {
"id": "6733",
"uniqueId": "bruniela_",
"nickname": "Bruni",
"verified": False,
"signature": "bio here",
"avatarLarger": "https://cdn/avatar.jpg",
},
"authorStats": {
"followerCount": 51200,
"followingCount": 269,
"heartCount": 3_000_000,
"videoCount": 259,
},
"stats": {
"diggCount": 5344,
"shareCount": 701,
"playCount": 55700,
"commentCount": 24,
"collectCount": 291,
},
"music": {
"id": "7529",
"title": "som original",
"authorName": "fox_rus0",
"original": True,
"playUrl": "https://cdn/music.mp3",
},
"video": {
"height": 1024,
"width": 576,
"duration": 16,
"cover": "https://cdn/cover.jpg",
"format": "mp4",
"definition": "540p",
},
"challenges": [{"id": "4982299", "title": "comeramabanana"}],
}
def test_parse_video_maps_core_and_derived_fields():
item = parse_video(_ITEM_STRUCT)
assert item["id"] == "7534061113365859586"
assert item["text"] == "haha #comeramabanana"
assert item["createTimeISO"] == "2023-11-14T22:13:20.000Z"
assert item["authorMeta"]["name"] == "bruniela_"
assert item["authorMeta"]["nickName"] == "Bruni"
assert item["authorMeta"]["profileUrl"] == "https://www.tiktok.com/@bruniela_"
assert item["authorMeta"]["fans"] == 51200
assert item["musicMeta"]["musicName"] == "som original"
assert item["videoMeta"]["duration"] == 16
assert item["diggCount"] == 5344
assert item["playCount"] == 55700
assert item["hashtags"] == [{"id": "4982299", "name": "comeramabanana"}]
assert (
item["webVideoUrl"]
== "https://www.tiktok.com/@bruniela_/video/7534061113365859586"
)
_USER_INFO = {
"user": {
"id": "6733",
"uniqueId": "bruniela_",
"nickname": "Bruni",
"verified": True,
"signature": "bio here",
"avatarLarger": "https://cdn/avatar.jpg",
"privateAccount": False,
},
"stats": {
"followerCount": 51200,
"followingCount": 269,
"heartCount": 3_000_000,
"videoCount": 259,
},
}
def test_parse_author_maps_user_and_stats():
author = parse_author(_USER_INFO)
assert author["name"] == "bruniela_"
assert author["nickName"] == "Bruni"
assert author["verified"] is True
assert author["profileUrl"] == "https://www.tiktok.com/@bruniela_"
assert author["fans"] == 51200
assert author["video"] == 259

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surfsense_backend/tests/unit/platforms/tiktok/test_scopes.py Normal file
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"""Navigating the rehydration blob to its useful scopes (pure, no network)."""
from __future__ import annotations
from app.proprietary.platforms.tiktok.extraction import user_info, video_item_struct
def test_video_item_struct_navigates_video_detail_scope():
data = {
"__DEFAULT_SCOPE__": {
"webapp.video-detail": {"itemInfo": {"itemStruct": {"id": "123"}}}
}
}
item = video_item_struct(data)
assert item == {"id": "123"}
def test_user_info_navigates_user_detail_scope():
data = {
"__DEFAULT_SCOPE__": {
"webapp.user-detail": {"userInfo": {"user": {"uniqueId": "scout2015"}}}
}
}
info = user_info(data)
assert info == {"user": {"uniqueId": "scout2015"}}
def test_scopes_return_none_when_absent():
assert video_item_struct({}) is None
assert user_info({"__DEFAULT_SCOPE__": {}}) is None

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surfsense_backend/tests/unit/platforms/tiktok/test_target_resolver.py Normal file
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"""URL classification for the TikTok scraper (pure, no network)."""
from __future__ import annotations
from app.proprietary.platforms.tiktok.targets import resolve_target
def test_resolve_video_carries_username_and_id():
target = resolve_target("https://www.tiktok.com/@scout2015/video/6718335390845095173")
assert target is not None
assert target.kind == "video"
assert target.value == "6718335390845095173"
assert target.username == "scout2015"
def test_resolve_profile():
target = resolve_target("https://www.tiktok.com/@scout2015")
assert target is not None
assert target.kind == "profile"
assert target.value == "scout2015"
def test_resolve_hashtag():
target = resolve_target("https://www.tiktok.com/tag/funny")
assert target is not None
assert target.kind == "hashtag"
assert target.value == "funny"
def test_resolve_search_top_video_and_user_sections():
top = resolve_target("https://www.tiktok.com/search?q=cats")
assert top is not None
assert top.kind == "search"
assert top.value == "cats"
assert top.section is None
videos = resolve_target("https://www.tiktok.com/search/video?q=cats")
assert videos is not None and videos.section == "video"
users = resolve_target("https://www.tiktok.com/search/user?q=cats")
assert users is not None and users.section == "user"
def test_resolve_rejects_non_tiktok_and_unknown_paths():
assert resolve_target("https://example.com/@scout2015") is None
assert resolve_target("https://www.tiktok.com/") is None
assert resolve_target("https://www.tiktok.com/foundation") is None

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"""Trending orchestration over a fake fetch (no network).
Drives ``scrape_tiktok_trending``: the Explore feed -> captured itemStructs ->
video items, reusing the listing flow (parse/dedupe/cap/empty-ErrorItem).
"""
from __future__ import annotations
from app.proprietary.platforms.tiktok import scrape_tiktok_trending
async def test_trending_parses_dedupes_and_caps():
async def fake_fetch(url: str, _cap: int) -> list[dict]:
assert url == "https://www.tiktok.com/explore"
return [
{"id": "1", "author": {"uniqueId": "a"}},
{"id": "1", "author": {"uniqueId": "a"}},
{"id": "2", "author": {"uniqueId": "b"}},
]
items = await scrape_tiktok_trending(count=2, fetch_trending_fn=fake_fetch)
assert [i["id"] for i in items] == ["1", "2"]
assert items[0]["webVideoUrl"] == "https://www.tiktok.com/@a/video/1"
assert items[0]["scrapedAt"] is not None
async def test_trending_empty_feed_emits_error_item():
async def fake_fetch(_url: str, _cap: int) -> list[dict]:
return []
items = await scrape_tiktok_trending(count=5, fetch_trending_fn=fake_fetch)
assert len(items) == 1
assert items[0]["errorCode"] == "no_items"

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surfsense_backend/tests/unit/platforms/tiktok/test_user_search.py Normal file
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"""User-search orchestration over a fake fetch (no network).
Drives ``search_tiktok_users``: queries -> captured ``user_info`` -> profile items.
"""
from __future__ import annotations
from typing import Any
from app.proprietary.platforms.tiktok import search_tiktok_users
def _user(uid: str, unique_id: str, followers: int = 10) -> dict[str, Any]:
return {
"uid": uid,
"unique_id": unique_id,
"nickname": unique_id.upper(),
"signature": "bio",
"follower_count": followers,
"total_favorited": 999,
"sec_uid": f"sec-{uid}",
"enterprise_verify_reason": "official" if uid == "1" else "",
"avatar_thumb": {"url_list": [f"https://cdn/{uid}.webp"]},
}
async def test_user_search_parses_dedupes_and_caps():
async def fake_fetch(_url: str, _cap: int) -> list[dict]:
return [_user("1", "nasa"), _user("1", "nasa"), _user("2", "nasa2")]
items = await search_tiktok_users(
["nasa"], per_query=2, fetch_users=fake_fetch
)
assert [i["id"] for i in items] == ["1", "2"]
first = items[0]
assert first["name"] == "nasa"
assert first["nickName"] == "NASA"
assert first["profileUrl"] == "https://www.tiktok.com/@nasa"
assert first["verified"] is True
assert first["fans"] == 10
assert first["avatar"] == "https://cdn/1.webp"
assert first["secUid"] == "sec-1"
assert first["scrapedAt"] is not None
assert items[1]["verified"] is False
async def test_user_search_empty_query_emits_error_item():
async def fake_fetch(_url: str, _cap: int) -> list[dict]:
return []
items = await search_tiktok_users(
["ghost"], per_query=5, fetch_users=fake_fetch
)
assert len(items) == 1
assert items[0]["errorCode"] == "no_users"
assert items[0]["input"] == "ghost"
async def test_user_search_honors_limit_across_queries():
async def fake_fetch(_url: str, _cap: int) -> list[dict]:
return [_user("1", "a"), _user("2", "b")]
items = await search_tiktok_users(
["q1", "q2"], per_query=5, limit=3, fetch_users=fake_fetch
)
# 2 from q1 + 1 from q2, then the cross-query limit stops it.
assert len(items) == 3