repo_id stringclasses 409
values | prefix large_stringlengths 34 36.3k | target large_stringlengths 1 498 | assertion_type stringclasses 31
values | difficulty stringclasses 8
values | test_file stringlengths 10 121 | test_function stringlengths 1 104 | test_class stringlengths 0 51 | lineno int32 2 11.3k | commit_idx int32 |
|---|---|---|---|---|---|---|---|---|---|
openai/chatgpt-retrieval-plugin | import os
from time import sleep
import openai
import pytest
from fastapi.testclient import TestClient
from httpx import Response
from pymongo import MongoClient
from server.main import app
def documents():
""" List of documents represents data to be embedded in the datastore.
Minimum requirements fpr Docume... | scores[0] | assert | complex_expr | tests/datastore/providers/mongodb_atlas/test_integration.py | test_query | 99 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.supabase_datastore import SupabaseDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | "New text" | assert | string_literal | tests/datastore/providers/supabase/test_supabase_datastore.py | test_upsert_existing_chunk | 150 | null | |
openai/chatgpt-retrieval-plugin | import shutil
from typing import Dict, List
import pytest
import random
from datastore.providers.chroma_datastore import ChromaDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
Source,
)
TEST_PERSISTENCE_DIR = "chroma_test_datas... | list(document_chunks.keys()) | assert | func_call | tests/datastore/providers/chroma/test_chroma_datastore.py | test_add_chunks | 110 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | { "$and": [ {"created_at": {"$gte": to_unix_timestamp(date)}} ] } | assert | collection | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | test_build_mongo_filter_with_start_date | 227 | null | |
openai/chatgpt-retrieval-plugin | import shutil
from typing import Dict, List
import pytest
import random
from datastore.providers.chroma_datastore import ChromaDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
Source,
)
TEST_PERSISTENCE_DIR = "chroma_test_datas... | len(document_chunks["second-doc"]) | assert | func_call | tests/datastore/providers/chroma/test_chroma_datastore.py | test_delete_by_id | 286 | null | |
openai/chatgpt-retrieval-plugin | import logging
import os
import pytest
import weaviate
from _pytest.logging import LogCaptureFixture
from fastapi.testclient import TestClient
from loguru import logger
from weaviate import Client
from datastore.providers.weaviate_datastore import (
SCHEMA,
WeaviateDataStore,
extract_schema_properties,
)
... | 200 | assert | numeric_literal | tests/datastore/providers/weaviate/test_weaviate_datastore.py | test_upsert | 152 | null | |
openai/chatgpt-retrieval-plugin | import shutil
from typing import Dict, List
import pytest
import random
from datastore.providers.chroma_datastore import ChromaDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
Source,
)
TEST_PERSISTENCE_DIR = "chroma_test_datas... | len(query_results[0].results) | assert | func_call | tests/datastore/providers/chroma/test_chroma_datastore.py | test_add_and_query_all | 151 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | collection_size_callback_factory(collection, 2)) | assert_* | func_call | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | test_delete_with_document_id | 179 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
import qdrant_client
from qdrant_client.http.models import PayloadSchemaType
from datastore.providers.qdrant_datastore import QdrantDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
DocumentMetadataFilter,
So... | query_results[0].query | assert | complex_expr | tests/datastore/providers/qdrant/test_qdrant_datastore.py | test_query_returns_all_on_single_query | 141 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
import qdrant_client
from qdrant_client.http.models import PayloadSchemaType
from datastore.providers.qdrant_datastore import QdrantDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
DocumentMetadataFilter,
So... | len(query_results[1].results) | assert | func_call | tests/datastore/providers/qdrant/test_qdrant_datastore.py | test_query_filter_by_document_id_returns_this_document_chunks | 192 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | "Aenean euismod bibendum laoreet" | assert | string_literal | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | test_delete_with_source_filter | 209 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.postgres_datastore import PostgresDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | "chunk" | assert | string_literal | tests/datastore/providers/postgres/test_postgres_datastore.py | test_delete_all | 289 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | {} | assert | collection | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | test_build_mongo_filter_with_no_filter | 219 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from typing import Dict, List
from dotenv import dotenv_values
from datastore.datastore import DataStore
from datastore.providers.azurecosmosdb_datastore import AzureCosmosDBDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
)
import os
num_lists ... | [ f"doc:{doc_id}:chunk:{chunk.id}" for doc_id, chunk_list in initial_document_chunks.items() for chunk in chunk_list ] | assert | collection | tests/datastore/providers/azurecosmosdb/test_azurecosmosdb_datastore.py | test_upsert | 96 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | chunk_ids | assert | variable | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | test_upsert | 148 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.postgres_datastore import PostgresDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | "chunk1" | assert | string_literal | tests/datastore/providers/postgres/test_postgres_datastore.py | test_upsert_existing_chunk | 149 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from datastore.providers.milvus_datastore import (
OUTPUT_DIM,
MilvusDataStore,
)
def milvus_datastore():
return MilvusDataStore(consistency_level="Stron... | len(query_results[0].results) | assert | func_call | tests/datastore/providers/milvus/test_milvus_datastore.py | test_upsert_query_all | 213 | null | |
openai/chatgpt-retrieval-plugin | import logging
import os
import pytest
import weaviate
from _pytest.logging import LogCaptureFixture
from fastapi.testclient import TestClient
from loguru import logger
from weaviate import Client
from datastore.providers.weaviate_datastore import (
SCHEMA,
WeaviateDataStore,
extract_schema_properties,
)
... | 1 | assert | numeric_literal | tests/datastore/providers/weaviate/test_weaviate_datastore.py | test_upsert_same_docid | 515 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | lambda: res == chunk_ids) | assert_* | complex_expr | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | test_upsert_query_all | 157 | null | |
openai/chatgpt-retrieval-plugin | import shutil
from typing import Dict, List
import pytest
import random
from datastore.providers.chroma_datastore import ChromaDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
Source,
)
TEST_PERSISTENCE_DIR = "chroma_test_datas... | 0 | assert | numeric_literal | tests/datastore/providers/chroma/test_chroma_datastore.py | test_add_chunks | 106 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.supabase_datastore import SupabaseDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | "chunk2" | assert | string_literal | tests/datastore/providers/supabase/test_supabase_datastore.py | test_query_filter | 220 | null | |
openai/chatgpt-retrieval-plugin | import logging
import os
import pytest
import weaviate
from _pytest.logging import LogCaptureFixture
from fastapi.testclient import TestClient
from loguru import logger
from weaviate import Client
from datastore.providers.weaviate_datastore import (
SCHEMA,
WeaviateDataStore,
extract_schema_properties,
)
... | 2 | assert | numeric_literal | tests/datastore/providers/weaviate/test_weaviate_datastore.py | test_upsert | 181 | null | |
openai/chatgpt-retrieval-plugin | from datastore.providers.redis_datastore import RedisDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
Source,
DocumentMetadataFilter,
)
import pytest
import redis.asyncio as redis
import numpy as np
NUM_TEST_DOCS = 10
async def redis_datastore():
... | query_results[0].results[0].id | assert | complex_expr | tests/datastore/providers/redis/test_redis_datastore.py | test_redis_filter_query | 70 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
import qdrant_client
from qdrant_client.http.models import PayloadSchemaType
from datastore.providers.qdrant_datastore import QdrantDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
DocumentMetadataFilter,
So... | collection_info.payload_schema | assert | complex_expr | tests/datastore/providers/qdrant/test_qdrant_datastore.py | test_datastore_creates_payload_indexes | 89 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.supabase_datastore import SupabaseDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | 1 | assert | numeric_literal | tests/datastore/providers/supabase/test_supabase_datastore.py | test_query | 86 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from datastore.providers.milvus_datastore import (
OUTPUT_DIM,
MilvusDataStore,
)
def milvus_datastore():
return MilvusDataStore(consistency_level="Stron... | query_results[0].results[0].id | assert | complex_expr | tests/datastore/providers/milvus/test_milvus_datastore.py | test_query_accuracy | 233 | null | |
openai/chatgpt-retrieval-plugin | from datastore.providers.redis_datastore import RedisDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
Source,
DocumentMetadataFilter,
)
import pytest
import redis.asyncio as redis
import numpy as np
NUM_TEST_DOCS = 10
async def redis_datastore():
... | query_results[0].results[i].id | assert | complex_expr | tests/datastore/providers/redis/test_redis_datastore.py | test_redis_upsert_query | 56 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from typing import Dict, List
from dotenv import dotenv_values
from datastore.datastore import DataStore
from datastore.providers.azurecosmosdb_datastore import AzureCosmosDBDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
)
import os
num_lists ... | 2 | assert | numeric_literal | tests/datastore/providers/azurecosmosdb/test_azurecosmosdb_datastore.py | test_query | 121 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.supabase_datastore import SupabaseDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | 2 | assert | numeric_literal | tests/datastore/providers/supabase/test_supabase_datastore.py | test_query | 87 | null | |
openai/chatgpt-retrieval-plugin | import logging
import os
import pytest
import weaviate
from _pytest.logging import LogCaptureFixture
from fastapi.testclient import TestClient
from loguru import logger
from weaviate import Client
from datastore.providers.weaviate_datastore import (
SCHEMA,
WeaviateDataStore,
extract_schema_properties,
)
... | 4 | assert | numeric_literal | tests/datastore/providers/weaviate/test_weaviate_datastore.py | test_delete | 294 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from typing import Dict, List
from dotenv import dotenv_values
from datastore.datastore import DataStore
from datastore.providers.azurecosmosdb_datastore import AzureCosmosDBDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
)
import os
num_lists ... | len(queries) | assert | func_call | tests/datastore/providers/azurecosmosdb/test_azurecosmosdb_datastore.py | test_query | 115 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from datastore.providers.analyticdb_datastore import (
OUTPUT_DIM,
AnalyticDBDataStore,
)
def analyticdb_datastore():
return AnalyticDBDataStore()
def d... | len(query_results[0].results) | assert | func_call | tests/datastore/providers/analyticdb/test_analyticdb_datastore.py | test_upsert | 152 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from datastore.providers.elasticsearch_datastore import (
ElasticsearchDataStore,
)
import time
import os
DIM_SIZE = int(os.environ.get("EMBEDDING_DIMENSION", 25... | len(query_results[0].results) | assert | func_call | tests/datastore/providers/elasticsearch/test_elasticsearch_datastore.py | test_upsert_query_all | 106 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.supabase_datastore import SupabaseDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | "chunk1" | assert | string_literal | tests/datastore/providers/supabase/test_supabase_datastore.py | test_upsert_existing_chunk | 149 | null | |
openai/chatgpt-retrieval-plugin | import os
from time import sleep
import openai
import pytest
from fastapi.testclient import TestClient
from httpx import Response
from pymongo import MongoClient
from server.main import app
def documents():
""" List of documents represents data to be embedded in the datastore.
Minimum requirements fpr Docume... | 200 | assert | numeric_literal | tests/datastore/providers/mongodb_atlas/test_integration.py | test_delete | 61 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from typing import Dict, List
from dotenv import dotenv_values
from datastore.datastore import DataStore
from datastore.providers.azurecosmosdb_datastore import AzureCosmosDBDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
)
import os
num_lists ... | "doc:deleteDoc2:chunk:deleteChunk2" | assert | string_literal | tests/datastore/providers/azurecosmosdb/test_azurecosmosdb_datastore.py | test_delete | 158 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from typing import Dict, List
from dotenv import dotenv_values
from datastore.datastore import DataStore
from datastore.providers.azurecosmosdb_datastore import AzureCosmosDBDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
)
import os
num_lists ... | "doc:deleteDoc1:chunk:deleteChunk1" | assert | string_literal | tests/datastore/providers/azurecosmosdb/test_azurecosmosdb_datastore.py | test_delete | 157 | null | |
openai/chatgpt-retrieval-plugin | import shutil
from typing import Dict, List
import pytest
import random
from datastore.providers.chroma_datastore import ChromaDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
Source,
)
TEST_PERSISTENCE_DIR = "chroma_test_datas... | chunk.id | assert | complex_expr | tests/datastore/providers/chroma/test_chroma_datastore.py | test_query_accuracy | 184 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from datastore.providers.analyticdb_datastore import (
OUTPUT_DIM,
AnalyticDBDataStore,
)
def analyticdb_datastore():
return AnalyticDBDataStore()
def d... | query_results[0].results[0].id | assert | complex_expr | tests/datastore/providers/analyticdb/test_analyticdb_datastore.py | test_query_accuracy | 211 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | "Fred Smith" | assert | string_literal | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | test_delete_with_document_id | 183 | null | |
openai/chatgpt-retrieval-plugin | import os
from time import sleep
import openai
import pytest
from fastapi.testclient import TestClient
from httpx import Response
from pymongo import MongoClient
from server.main import app
def documents():
""" List of documents represents data to be embedded in the datastore.
Minimum requirements fpr Docume... | question | assert | variable | tests/datastore/providers/mongodb_atlas/test_integration.py | test_query | 93 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | predicate) | assert_* | variable | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | test_delete_with_source_filter | 206 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from datastore.providers.zilliz_datastore import (
ZillizDataStore,
)
from datastore.providers.milvus_datastore import (
EMBEDDING_FIELD,
)
def zilliz_datastore():
return ZillizDataStore()
@pytest.mark.asyncio
async def test_zilliz(zilliz_datastore):
assert True == zilliz_datastore.col... | index["index_param"]["index_type"] | assert | complex_expr | tests/datastore/providers/zilliz/test_zilliz_datastore.py | test_zilliz | 30 | null | |
openai/chatgpt-retrieval-plugin | import shutil
from typing import Dict, List
import pytest
import random
from datastore.providers.chroma_datastore import ChromaDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
Source,
)
TEST_PERSISTENCE_DIR = "chroma_test_datas... | list( initial_document_chunks.keys() ) | assert | func_call | tests/datastore/providers/chroma/test_chroma_datastore.py | test_upsert | 124 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
import qdrant_client
from qdrant_client.http.models import PayloadSchemaType
from datastore.providers.qdrant_datastore import QdrantDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
DocumentMetadataFilter,
So... | first_document_chunk.score | assert | complex_expr | tests/datastore/providers/qdrant/test_qdrant_datastore.py | test_query_returns_closest_entry | 161 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.postgres_datastore import PostgresDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | "New text" | assert | string_literal | tests/datastore/providers/postgres/test_postgres_datastore.py | test_upsert_existing_chunk | 150 | null | |
openai/chatgpt-retrieval-plugin | import shutil
from typing import Dict, List
import pytest
import random
from datastore.providers.chroma_datastore import ChromaDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
Source,
)
TEST_PERSISTENCE_DIR = "chroma_test_datas... | len(query_results) | assert | func_call | tests/datastore/providers/chroma/test_chroma_datastore.py | test_add_and_query_all | 150 | null | |
openai/chatgpt-retrieval-plugin | import os
from time import sleep
import openai
import pytest
from fastapi.testclient import TestClient
from httpx import Response
from pymongo import MongoClient
from server.main import app
def documents():
""" List of documents represents data to be embedded in the datastore.
Minimum requirements fpr Docume... | 0 | assert | numeric_literal | tests/datastore/providers/mongodb_atlas/test_integration.py | test_required_vars | 109 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from datastore.providers.milvus_datastore import (
OUTPUT_DIM,
MilvusDataStore,
)
def milvus_datastore():
return MilvusDataStore(consistency_level="Stron... | len(query_results) | assert | func_call | tests/datastore/providers/milvus/test_milvus_datastore.py | test_reload | 193 | null | |
openai/chatgpt-retrieval-plugin | import logging
import os
import pytest
import weaviate
from _pytest.logging import LogCaptureFixture
from fastapi.testclient import TestClient
from loguru import logger
from weaviate import Client
from datastore.providers.weaviate_datastore import (
SCHEMA,
WeaviateDataStore,
extract_schema_properties,
)
... | source | assert | variable | tests/datastore/providers/weaviate/test_weaviate_datastore.py | test_upsert | 188 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.postgres_datastore import PostgresDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | 0 | assert | numeric_literal | tests/datastore/providers/postgres/test_postgres_datastore.py | test_delete_all | 294 | null | |
openai/chatgpt-retrieval-plugin | from datastore.providers.redis_datastore import RedisDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
Source,
DocumentMetadataFilter,
)
import pytest
import redis.asyncio as redis
import numpy as np
NUM_TEST_DOCS = 10
async def redis_datastore():
... | len(query_results) | assert | func_call | tests/datastore/providers/redis/test_redis_datastore.py | test_redis_upsert_query | 53 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from datastore.providers.analyticdb_datastore import (
OUTPUT_DIM,
AnalyticDBDataStore,
)
def analyticdb_datastore():
return AnalyticDBDataStore()
def d... | len(query_results) | assert | func_call | tests/datastore/providers/analyticdb/test_analyticdb_datastore.py | test_reload | 175 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
import qdrant_client
from qdrant_client.http.models import PayloadSchemaType
from datastore.providers.qdrant_datastore import QdrantDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
DocumentMetadataFilter,
So... | document_id.data_type | assert | complex_expr | tests/datastore/providers/qdrant/test_qdrant_datastore.py | test_datastore_creates_payload_indexes | 94 | null | |
openai/chatgpt-retrieval-plugin | import shutil
from typing import Dict, List
import pytest
import random
from datastore.providers.chroma_datastore import ChromaDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
Source,
)
TEST_PERSISTENCE_DIR = "chroma_test_datas... | len(document_chunks["first-doc"]) + len( document_chunks["second-doc"] ) | assert | func_call | tests/datastore/providers/chroma/test_chroma_datastore.py | test_query_filter_by_date | 253 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.llama_datastore import LlamaDataStore
from models.models import DocumentChunk, DocumentChunkMetadata, QueryWithEmbedding
def create_embedding(non_zero_pos: int, size: int) -> List[float]:
vector = [0.0] * size
vector[non_zero_pos % size] = 1.... | 2 | assert | numeric_literal | tests/datastore/providers/llama/test_llama_datastore.py | test_query | 78 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.postgres_datastore import PostgresDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | 2 | assert | numeric_literal | tests/datastore/providers/postgres/test_postgres_datastore.py | test_query | 87 | null | |
openai/chatgpt-retrieval-plugin | import os
from time import sleep
import openai
import pytest
from fastapi.testclient import TestClient
from httpx import Response
from pymongo import MongoClient
from server.main import app
def documents():
""" List of documents represents data to be embedded in the datastore.
Minimum requirements fpr Docume... | 1 | assert | numeric_literal | tests/datastore/providers/mongodb_atlas/test_integration.py | test_query | 84 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.postgres_datastore import PostgresDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | 1 | assert | numeric_literal | tests/datastore/providers/postgres/test_postgres_datastore.py | test_query | 86 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | { "$and": [ {"metadata.source": "email"} ] } | assert | collection | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | test_build_mongo_filter_with_metadata_field | 250 | null | |
openai/chatgpt-retrieval-plugin | import logging
import os
import pytest
import weaviate
from _pytest.logging import LogCaptureFixture
from fastapi.testclient import TestClient
from loguru import logger
from weaviate import Client
from datastore.providers.weaviate_datastore import (
SCHEMA,
WeaviateDataStore,
extract_schema_properties,
)
... | url | assert | variable | tests/datastore/providers/weaviate/test_weaviate_datastore.py | test_upsert | 190 | null | |
openai/chatgpt-retrieval-plugin | import pytest
import os
import time
from typing import Union
from azure.search.documents.indexes import SearchIndexClient
from models.models import (
DocumentMetadataFilter,
Query,
Source,
Document,
DocumentMetadata,
)
AZURESEARCH_TEST_INDEX = "testindex"
os.environ["AZURESEARCH_INDEX"] = AZURESEAR... | azuresearch_mgmt_client.list_index_names() | assert | func_call | tests/datastore/providers/azuresearch/test_azuresearch_datastore.py | lifecycle | 113 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.llama_datastore import LlamaDataStore
from models.models import DocumentChunk, DocumentChunkMetadata, QueryWithEmbedding
def create_embedding(non_zero_pos: int, size: int) -> List[float]:
vector = [0.0] * size
vector[non_zero_pos % size] = 1.... | len(queries) | assert | func_call | tests/datastore/providers/llama/test_llama_datastore.py | test_query | 72 | null | |
openai/chatgpt-retrieval-plugin | from inspect import iscoroutinefunction
import pytest
import time
from typing import Callable
import os
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from services.date import to_unix_timestamp
from datetime import datetime
f... | collection_size_callback_factory(collection, 0)) | assert_* | func_call | tests/datastore/providers/mongodb_atlas/test_mongodb_datastore.py | mongodb_datastore | 75 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from models.models import (
DocumentChunkMetadata,
DocumentMetadataFilter,
DocumentChunk,
QueryWithEmbedding,
Source,
)
from datastore.providers.elasticsearch_datastore import (
ElasticsearchDataStore,
)
import time
import os
DIM_SIZE = int(os.environ.get("EMBEDDING_DIMENSION", 25... | 3 | assert | numeric_literal | tests/datastore/providers/elasticsearch/test_elasticsearch_datastore.py | test_upsert | 86 | null | |
openai/chatgpt-retrieval-plugin | import shutil
from typing import Dict, List
import pytest
import random
from datastore.providers.chroma_datastore import ChromaDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
Source,
)
TEST_PERSISTENCE_DIR = "chroma_test_datas... | len(chunks) | assert | func_call | tests/datastore/providers/chroma/test_chroma_datastore.py | test_query_filter_by_id | 203 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
import qdrant_client
from qdrant_client.http.models import PayloadSchemaType
from datastore.providers.qdrant_datastore import QdrantDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
DocumentMetadataFilter,
So... | query_results[1].query | assert | complex_expr | tests/datastore/providers/qdrant/test_qdrant_datastore.py | test_query_filter_by_document_id_returns_this_document_chunks | 190 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from typing import Dict, List
from dotenv import dotenv_values
from datastore.datastore import DataStore
from datastore.providers.azurecosmosdb_datastore import AzureCosmosDBDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
)
import os
num_lists ... | 0 | assert | numeric_literal | tests/datastore/providers/azurecosmosdb/test_azurecosmosdb_datastore.py | test_delete_all | 193 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.postgres_datastore import PostgresDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | "chunk2" | assert | string_literal | tests/datastore/providers/postgres/test_postgres_datastore.py | test_query_filter | 220 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.llama_datastore import LlamaDataStore
from models.models import DocumentChunk, DocumentChunkMetadata, QueryWithEmbedding
def create_embedding(non_zero_pos: int, size: int) -> List[float]:
vector = [0.0] * size
vector[non_zero_pos % size] = 1.... | 1 | assert | numeric_literal | tests/datastore/providers/llama/test_llama_datastore.py | test_query | 77 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
import qdrant_client
from qdrant_client.http.models import PayloadSchemaType
from datastore.providers.qdrant_datastore import QdrantDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
DocumentMetadataFilter,
So... | len(query_results[0].results) | assert | func_call | tests/datastore/providers/qdrant/test_qdrant_datastore.py | test_query_returns_all_on_single_query | 142 | null | |
openai/chatgpt-retrieval-plugin | import pytest
from typing import Dict, List
from dotenv import dotenv_values
from datastore.datastore import DataStore
from datastore.providers.azurecosmosdb_datastore import AzureCosmosDBDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
)
import os
num_lists ... | 1 | assert | numeric_literal | tests/datastore/providers/azurecosmosdb/test_azurecosmosdb_datastore.py | test_query | 120 | null | |
openai/chatgpt-retrieval-plugin | import logging
import os
import pytest
import weaviate
from _pytest.logging import LogCaptureFixture
from fastapi.testclient import TestClient
from loguru import logger
from weaviate import Client
from datastore.providers.weaviate_datastore import (
SCHEMA,
WeaviateDataStore,
extract_schema_properties,
)
... | None | assert | none_literal | tests/datastore/providers/weaviate/test_weaviate_datastore.py | test_upsert_no_metadata | 223 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.supabase_datastore import SupabaseDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
DocumentMetadataFilter,
QueryWithEmbedding,
)
import os
EMBEDDING_DIMENSION = int(os.environ.get("EMBEDDING_DIMENSION", 256)... | 0 | assert | numeric_literal | tests/datastore/providers/supabase/test_supabase_datastore.py | test_delete_all | 294 | null | |
openai/chatgpt-retrieval-plugin | import logging
import os
import pytest
import weaviate
from _pytest.logging import LogCaptureFixture
from fastapi.testclient import TestClient
from loguru import logger
from weaviate import Client
from datastore.providers.weaviate_datastore import (
SCHEMA,
WeaviateDataStore,
extract_schema_properties,
)
... | 3 | assert | numeric_literal | tests/datastore/providers/weaviate/test_weaviate_datastore.py | test_delete | 305 | null | |
openai/chatgpt-retrieval-plugin | import pytest
import os
import time
from typing import Union
from azure.search.documents.indexes import SearchIndexClient
from models.models import (
DocumentMetadataFilter,
Query,
Source,
Document,
DocumentMetadata,
)
AZURESEARCH_TEST_INDEX = "testindex"
os.environ["AZURESEARCH_INDEX"] = AZURESEAR... | f"{field} eq '{value}'" | assert | string_literal | tests/datastore/providers/azuresearch/test_azuresearch_datastore.py | test_translate_filter | 40 | null | |
openai/chatgpt-retrieval-plugin | import pytest
import os
import time
from typing import Union
from azure.search.documents.indexes import SearchIndexClient
from models.models import (
DocumentMetadataFilter,
Query,
Source,
Document,
DocumentMetadata,
)
AZURESEARCH_TEST_INDEX = "testindex"
os.environ["AZURESEARCH_INDEX"] = AZURESEAR... | ValueError) | pytest.raises | variable | tests/datastore/providers/azuresearch/test_azuresearch_datastore.py | test_translate_filter | 66 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
import qdrant_client
from qdrant_client.http.models import PayloadSchemaType
from datastore.providers.qdrant_datastore import QdrantDataStore
from models.models import (
DocumentChunk,
DocumentChunkMetadata,
QueryWithEmbedding,
DocumentMetadataFilter,
So... | len(document_ids) | assert | func_call | tests/datastore/providers/qdrant/test_qdrant_datastore.py | test_upsert_creates_all_points | 105 | null | |
openai/chatgpt-retrieval-plugin | from typing import Dict, List
import pytest
from datastore.providers.llama_datastore import LlamaDataStore
from models.models import DocumentChunk, DocumentChunkMetadata, QueryWithEmbedding
def create_embedding(non_zero_pos: int, size: int) -> List[float]:
vector = [0.0] * size
vector[non_zero_pos % size] = 1.... | [doc_id for doc_id in initial_document_chunks] | assert | collection | tests/datastore/providers/llama/test_llama_datastore.py | test_upsert | 58 | null | |
redimp/otterwiki | import pytest
import flask
from datetime import datetime
import otterwiki
import otterwiki.gitstorage
def create_app_raw_filenames(create_app):
create_app.config["RETAIN_PAGE_NAME_CASE"] = True
yield create_app
create_app.config["RETAIN_PAGE_NAME_CASE"] = False
def test_get_filename_raw(create_app_raw_fil... | "Home.md" | assert | string_literal | tests/test_helper.py | test_get_filename_raw | 140 | null | |
redimp/otterwiki | import pytest
class TestHousekeepingBrokenWikilinks:
def test_housekeeping_broken_wikilinks_unique_lists(
self, app_with_user, admin_client
):
"""Test that broken links and found_in lists are unique."""
from otterwiki.server import storage
from otterwiki.helper import get_filen... | 2 | assert | numeric_literal | tests/test_housekeeping.py | test_housekeeping_broken_wikilinks_unique_lists | TestHousekeepingBrokenWikilinks | 528 | null |
redimp/otterwiki | import pytest
from base64 import b64encode
def create_app_with_git(create_app):
create_app.config["GIT_WEB_SERVER"] = True
yield create_app
create_app.config["GIT_WEB_SERVER"] = False
def test_git_info_refs_permissions(create_app_with_git, test_client_with_git):
create_app_with_git.config["READ_ACCESS... | 401 | assert | numeric_literal | tests/test_remote.py | test_git_info_refs_permissions | 86 | null | |
redimp/otterwiki | import pytest
import flask
from datetime import datetime
import otterwiki
import otterwiki.gitstorage
def create_app_raw_filenames(create_app):
create_app.config["RETAIN_PAGE_NAME_CASE"] = True
yield create_app
create_app.config["RETAIN_PAGE_NAME_CASE"] = False
def test_get_filename_raw(create_app_raw_fil... | "hOme.md" | assert | string_literal | tests/test_helper.py | test_get_filename_raw | 141 | null | |
redimp/otterwiki | from bs4 import BeautifulSoup
def get_sidebar_shortcuts(test_client):
"""
Helper function to get all links from the sidebar and the dropdown menu.
"""
rv = test_client.get("/")
assert rv.status_code == | 200 | assert | numeric_literal | tests/test_sidebar.py | get_sidebar_shortcuts | 12 | null | |
redimp/otterwiki | import os
import pytest
from otterwiki.util import (
sha256sum,
sizeof_fmt,
slugify,
split_path,
join_path,
is_valid_email,
empty,
sanitize_pagename,
get_pagepath,
get_page_directoryname,
random_password,
mkdir,
titleSs,
patchset2filedict,
get_header,
strf... | True | assert | bool_literal | tests/test_util.py | test_empty | 104 | null | |
redimp/otterwiki | import re
from flask import url_for
def save_shortcut(test_client, pagename, content, commit_message):
"""Helper function to save a page"""
rv = test_client.post(
"/{}/save".format(pagename),
data={
"content": content,
"commit": commit_message,
},
follow_... | 4 | assert | numeric_literal | tests/test_history.py | test_page_history_links_after_single_rename | 172 | null | |
redimp/otterwiki | import os
import pytest
from otterwiki.util import (
sha256sum,
sizeof_fmt,
slugify,
split_path,
join_path,
is_valid_email,
empty,
sanitize_pagename,
get_pagepath,
get_page_directoryname,
random_password,
mkdir,
titleSs,
patchset2filedict,
get_header,
strf... | 2 | assert | numeric_literal | tests/test_util.py | test_int_or_None | 280 | null | |
redimp/otterwiki | import pytest
import re
from flask import url_for
def test_minimal_auth(app_with_user):
# check auth defaults
assert app_with_user.config.get("AUTH_METHOD") == | "" | assert | string_literal | tests/test_auth.py | test_minimal_auth | 100 | null | |
redimp/otterwiki | import bs4
def test_canonical_links(app_with_user, test_client):
# root URL "/" should have canonical pointing to itself (/)
response = test_client.get("/")
assert response.status_code == | 200 | assert | numeric_literal | tests/test_seo.py | test_canonical_links | 10 | null | |
redimp/otterwiki | import pytest
import flask
from datetime import datetime
import otterwiki
import otterwiki.gitstorage
def test_auto_url(create_app, req_ctx):
from otterwiki.helper import auto_url
name, path = auto_url("home.md")
assert name == "Home"
assert path == | "/Home" | assert | string_literal | tests/test_helper.py | test_auto_url | 97 | null | |
redimp/otterwiki | import os
import pytest
from otterwiki.util import (
sha256sum,
sizeof_fmt,
slugify,
split_path,
join_path,
is_valid_email,
empty,
sanitize_pagename,
get_pagepath,
get_page_directoryname,
random_password,
mkdir,
titleSs,
patchset2filedict,
get_header,
strf... | 3 | assert | numeric_literal | tests/test_util.py | test_int_or_None | 275 | null | |
redimp/otterwiki | import pytest
import flask
from datetime import datetime
import otterwiki
import otterwiki.gitstorage
def create_app_raw_filenames(create_app):
create_app.config["RETAIN_PAGE_NAME_CASE"] = True
yield create_app
create_app.config["RETAIN_PAGE_NAME_CASE"] = False
def test_get_filename(create_app, req_ctx):
... | "home.md" | assert | string_literal | tests/test_helper.py | test_get_filename | 131 | null | |
redimp/otterwiki | from bs4 import BeautifulSoup
def get_sidebar_shortcuts(test_client):
"""
Helper function to get all links from the sidebar and the dropdown menu.
"""
rv = test_client.get("/")
assert rv.status_code == 200
soup = BeautifulSoup(rv.data.decode(), "html.parser")
sidebar_menu = soup.find_all("d... | "Home" | assert | string_literal | tests/test_sidebar.py | test_sidebar_custom_menu_with_icons | 167 | null | |
redimp/otterwiki | import pytest
import os
import otterwiki.gitstorage
from flask import url_for
def create_app_with_home_page_env(tmpdir):
"""Create app with HOME_PAGE set via environment variable before initialization."""
original_home_page = os.environ.get("HOME_PAGE")
original_settings = os.environ.get("OTTERWIKI_SETTING... | files | assert | variable | tests/test_home_page.py | test_initialization_with_custom_home_page | 286 | null | |
redimp/otterwiki | from test_auth import login
def create_draft(test_client, pagepath, content):
cursor_line = "1"
cursor_ch = "2"
rv = test_client.post(
"/{}/draft".format(pagepath),
data={
"content": content,
"cursor_line": cursor_line,
"cursor_ch": cursor_ch,
},
... | content | assert | variable | tests/test_draft.py | test_create_draft | 38 | null | |
redimp/otterwiki | import pytest
def test_robots(test_client):
response = test_client.get("/robots.txt")
assert response.status_code == | 200 | assert | numeric_literal | tests/test_essentials.py | test_robots | 9 | null | |
redimp/otterwiki | import pytest
from bs4 import BeautifulSoup
from otterwiki.renderer import (
render,
clean_html,
OtterwikiRenderer,
pygments_render,
)
def test_codeblock():
html, _, _ = render.markdown(
"""```
abc
```"""
)
pre_code = BeautifulSoup(html, "html.parser").find(
'pre', {'class':... | None | assert | none_literal | tests/test_renderer.py | test_codeblock | 73 | null | |
redimp/otterwiki | import bs4
import re
from otterwiki.renderer import render
markdown_example = """# Header
Bla Bla.
```bash
WORLD="World"
echo "Hello $WORLD"
```
- a
- b
- c
1. one
2. two
3. three
| column1 | column2 |
|---------|---------|
| row11 | row21 |
| row12 | row22 |
| row13 | row23 |
Inline math: `$a^2+b^2=... | str(preview_soup) | assert | func_call | tests/test_preview.py | test_preview_all | 81 | null | |
redimp/otterwiki | import pytest
from bs4 import BeautifulSoup
from otterwiki.renderer import (
render,
clean_html,
OtterwikiRenderer,
pygments_render,
)
def test_basic_markdown():
html, toc, _ = render.markdown("**bold** _italic_")
assert "<strong>bold</strong>" in | html | assert | variable | tests/test_renderer.py | test_basic_markdown | 23 | null | |
redimp/otterwiki | from bs4 import BeautifulSoup
def get_sidebar_shortcuts(test_client):
"""
Helper function to get all links from the sidebar and the dropdown menu.
"""
rv = test_client.get("/")
assert rv.status_code == 200
soup = BeautifulSoup(rv.data.decode(), "html.parser")
sidebar_menu = soup.find_all("d... | [] | assert | collection | tests/test_sidebar.py | test_sidebar_custom_menu | 110 | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.