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import pytest
from pydantic import Field
from pydantic.main import BaseModel
from pymongo.errors import OperationFailure
from beanie.odm.enums import SortDirection
from beanie.odm.utils.find import construct_lookup_queries
from tests.odm.models import DocumentWithTextIndexAndLink, Sample
async def test_aggregate(preset_documents):
q = Sample.aggregate(
[{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}}]
)
assert q.get_aggregation_pipeline() == [
{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}}
]
result = await q.to_list()
assert len(result) == 4
assert {"_id": "test_3", "total": 3} in result
assert {"_id": "test_1", "total": 3} in result
assert {"_id": "test_0", "total": 0} in result
assert {"_id": "test_2", "total": 6} in result
async def test_aggregate_with_filter(preset_documents):
q = Sample.find(Sample.increment >= 4).aggregate(
[{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}}]
)
assert q.get_aggregation_pipeline() == [
{"$match": {"increment": {"$gte": 4}}},
{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}},
]
result = await q.to_list()
assert len(result) == 3
assert {"_id": "test_1", "total": 2} in result
assert {"_id": "test_2", "total": 6} in result
assert {"_id": "test_3", "total": 3} in result
async def test_aggregate_with_sort_skip(preset_documents):
q = Sample.find(sort="_id", skip=2).aggregate(
[{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}}]
)
assert q.get_aggregation_pipeline() == [
{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}},
{"$sort": {"_id": SortDirection.ASCENDING}},
{"$skip": 2},
]
assert await q.to_list() == [
{"_id": "test_2", "total": 6},
{"_id": "test_3", "total": 3},
]
async def test_aggregate_with_sort_limit(preset_documents):
q = Sample.find(sort="_id", limit=2).aggregate(
[{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}}]
)
assert q.get_aggregation_pipeline() == [
{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}},
{"$sort": {"_id": SortDirection.ASCENDING}},
{"$limit": 2},
]
assert await q.to_list() == [
{"_id": "test_0", "total": 0},
{"_id": "test_1", "total": 3},
]
async def test_aggregate_with_projection_model(preset_documents):
class OutputItem(BaseModel):
id: str = Field(None, alias="_id")
total: int
ids = []
q = Sample.find(Sample.increment >= 4).aggregate(
[{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}}],
projection_model=OutputItem,
)
assert q.get_aggregation_pipeline() == [
{"$match": {"increment": {"$gte": 4}}},
{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}},
{"$project": {"_id": 1, "total": 1}},
]
async for i in q:
if i.id == "test_1":
assert i.total == 2
elif i.id == "test_2":
assert i.total == 6
elif i.id == "test_3":
assert i.total == 3
else:
raise KeyError
ids.append(i.id)
assert set(ids) == {"test_1", "test_2", "test_3"}
async def test_aggregate_with_session(preset_documents, session):
q = Sample.find(Sample.increment >= 4).aggregate(
[{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}}],
session=session,
)
assert q.session == session
q = Sample.find(Sample.increment >= 4, session=session).aggregate(
[{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}}]
)
assert q.session == session
result = await q.to_list()
assert len(result) == 3
assert {"_id": "test_1", "total": 2} in result
assert {"_id": "test_2", "total": 6} in result
assert {"_id": "test_3", "total": 3} in result
async def test_aggregate_pymongo_kwargs(preset_documents):
with pytest.raises(OperationFailure):
await (
Sample.find(Sample.increment >= 4)
.aggregate(
[
{
"$group": {
"_id": "$string",
"total": {"$sum": "$integer"},
}
}
],
wrong=True,
)
.to_list()
)
async def test_clone(preset_documents):
q = Sample.find(Sample.increment >= 4).aggregate(
[{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}}]
)
new_q = q.clone()
new_q.aggregation_pipeline.append({"a": "b"})
assert q.get_aggregation_pipeline() == [
{"$match": {"increment": {"$gte": 4}}},
{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}},
]
assert new_q.get_aggregation_pipeline() == [
{"$match": {"increment": {"$gte": 4}}},
{"$group": {"_id": "$string", "total": {"$sum": "$integer"}}},
{"a": "b"},
]
@pytest.mark.parametrize("text_query_count", [0, 1, 2])
@pytest.mark.parametrize("non_text_query_count", [0, 1, 2])
async def test_with_text_queries(
text_query_count: int, non_text_query_count: int
):
text_query = {"$text": {"$search": "text_search"}}
non_text_query = {"s": "test_string"}
aggregation_pipeline = [{"$count": "count"}]
queries = []
if text_query_count:
queries.append(text_query)
if text_query_count > 1:
queries.append(text_query)
if non_text_query_count:
queries.append(non_text_query)
if non_text_query_count > 1:
queries.append(non_text_query)
query = DocumentWithTextIndexAndLink.find(*queries, fetch_links=True)
expected_aggregation_pipeline = []
if text_query_count:
expected_aggregation_pipeline.append(
{"$match": text_query}
if text_query_count == 1
else {"$match": {"$and": [text_query, text_query]}}
)
expected_aggregation_pipeline.extend(
construct_lookup_queries(query.document_model)
)
if non_text_query_count:
expected_aggregation_pipeline.append(
{"$match": non_text_query}
if non_text_query_count == 1
else {"$match": {"$and": [non_text_query, non_text_query]}}
)
expected_aggregation_pipeline.extend(aggregation_pipeline)
assert (
query.build_aggregation_pipeline(*aggregation_pipeline)
== expected_aggregation_pipeline
)
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