Source Azure Blob Storage: add integration tests (#36542)

Signed-off-by: Artem Inzhyyants <artem.inzhyyants@gmail.com>
Co-authored-by: Catherine Noll <noll.catherine@gmail.com>
Co-authored-by: Serhii Lazebnyi <serhii.lazebnyi@globallogic.com>

airbyte-integrations/connectors/source-azure-blob-storage/.coveragerc

@@ -0,0 +1,3 @@
+[run]
+omit =
+    source_azure_blob_storage/run.py

airbyte-integrations/connectors/source-azure-blob-storage/build_customization.py

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+# Copyright (c) 2024 Airbyte, Inc., all rights reserved.
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from dagger import Container
+
+
+async def pre_connector_install(base_image_container: Container) -> Container:
+    """
+    Docker compose is required to run the integration tests so we install Docker on top of the base image.
+    """
+    return (
+        base_image_container.with_exec(["sh", "-c", "apt-get update && apt-get install -y curl jq"])
+        # Download install-docker.sh script
+        .with_exec(["curl", "-fsSL", "https://get.docker.com", "-o", "/tmp/install-docker.sh"])
+        # Run the install-docker.sh script with a pinned Docker version
+        .with_exec(["sh", "/tmp/install-docker.sh", "--version", "25.0"])
+        # Remove the install-docker.sh script
+        .with_exec(["rm", "/tmp/install-docker.sh"])
+    )

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/configs/config_integration_avro.json

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+{
+  "azure_blob_storage_endpoint": "http://localhost:10000/account1",
+  "azure_blob_storage_account_name": "account1",
+  "azure_blob_storage_account_key": "key1",
+  "azure_blob_storage_container_name": "testcontainer",
+  "streams": [
+    {
+      "name": "users",
+      "file_type": "avro",
+      "globs": ["**/test_avro_users*.avro"],
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "avro"
+      }
+    },
+    {
+      "name": "purchases",
+      "file_type": "avro",
+      "globs": ["**/test_avro_purchases*.avro"],
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "avro"
+      }
+    },
+    {
+      "name": "products",
+      "file_type": "avro",
+      "globs": ["**/test_avro_products*.avro"],
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "avro"
+      }
+    }
+  ]
+}

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/configs/config_integration_csv.json

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+{
+  "azure_blob_storage_endpoint": "http://localhost:10000/account1",
+  "azure_blob_storage_account_name": "account1",
+  "azure_blob_storage_account_key": "key1",
+  "azure_blob_storage_container_name": "testcontainer",
+  "streams": [
+    {
+      "name": "users",
+      "file_type": "csv",
+      "globs": ["**/test_csv_users*.csv"],
+      "legacy_prefix": "",
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "csv",
+        "delimiter": ",",
+        "quote_char": "\"",
+        "double_quote": true,
+        "null_values": [
+          "",
+          "#N/A",
+          "#N/A N/A",
+          "#NA",
+          "-1.#IND",
+          "-1.#QNAN",
+          "-NaN",
+          "-nan",
+          "1.#IND",
+          "1.#QNAN",
+          "N/A",
+          "NA",
+          "NULL",
+          "NaN",
+          "n/a",
+          "nan",
+          "null"
+        ],
+        "true_values": ["1", "True", "TRUE", "true"],
+        "false_values": ["0", "False", "FALSE", "false"],
+        "inference_type": "Primitive Types Only",
+        "strings_can_be_null": false,
+        "encoding": "utf8",
+        "header_definition": {
+          "header_definition_type": "From CSV"
+        }
+      }
+    },
+    {
+      "name": "purchases",
+      "file_type": "csv",
+      "globs": ["**/test_csv_purchases*.csv"],
+      "legacy_prefix": "",
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "csv",
+        "delimiter": ",",
+        "quote_char": "\"",
+        "double_quote": true,
+        "null_values": [
+          "",
+          "#N/A",
+          "#N/A N/A",
+          "#NA",
+          "-1.#IND",
+          "-1.#QNAN",
+          "-NaN",
+          "-nan",
+          "1.#IND",
+          "1.#QNAN",
+          "N/A",
+          "NA",
+          "NULL",
+          "NaN",
+          "n/a",
+          "nan",
+          "null"
+        ],
+        "true_values": ["1", "True", "TRUE", "true"],
+        "false_values": ["0", "False", "FALSE", "false"],
+        "inference_type": "Primitive Types Only",
+        "strings_can_be_null": false,
+        "encoding": "utf8",
+        "header_definition": {
+          "header_definition_type": "From CSV"
+        }
+      }
+    },
+    {
+      "name": "products",
+      "file_type": "csv",
+      "globs": ["**/test_csv_products*.csv"],
+      "legacy_prefix": "",
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "csv",
+        "delimiter": ",",
+        "quote_char": "\"",
+        "double_quote": true,
+        "null_values": [
+          "",
+          "#N/A",
+          "#N/A N/A",
+          "#NA",
+          "-1.#IND",
+          "-1.#QNAN",
+          "-NaN",
+          "-nan",
+          "1.#IND",
+          "1.#QNAN",
+          "N/A",
+          "NA",
+          "NULL",
+          "NaN",
+          "n/a",
+          "nan",
+          "null"
+        ],
+        "true_values": ["1", "True", "TRUE", "true"],
+        "false_values": ["0", "False", "FALSE", "false"],
+        "inference_type": "Primitive Types Only",
+        "strings_can_be_null": false,
+        "encoding": "utf8",
+        "header_definition": {
+          "header_definition_type": "From CSV"
+        }
+      }
+    }
+  ]
+}

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/configs/config_integration_jsonl.json

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+{
+  "azure_blob_storage_endpoint": "http://localhost:10000/account1",
+  "azure_blob_storage_account_name": "account1",
+  "azure_blob_storage_account_key": "key1",
+  "azure_blob_storage_container_name": "testcontainer",
+  "streams": [
+    {
+      "name": "users",
+      "file_type": "jsonl",
+      "globs": ["**/test_jsonl_users*.jsonl"],
+      "legacy_prefix": "",
+      "newlines_in_values": true,
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "jsonl"
+      }
+    },
+    {
+      "name": "purchases",
+      "file_type": "jsonl",
+      "globs": ["**/test_jsonl_purchases*.jsonl"],
+      "legacy_prefix": "",
+      "newlines_in_values": true,
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "jsonl"
+      }
+    },
+    {
+      "name": "products",
+      "file_type": "jsonl",
+      "globs": ["**/test_jsonl_products*.jsonl"],
+      "legacy_prefix": "",
+      "newlines_in_values": true,
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "jsonl"
+      }
+    }
+  ]
+}

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/configs/config_integration_parquet.json

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+{
+  "azure_blob_storage_endpoint": "http://localhost:10000/account1",
+  "azure_blob_storage_account_name": "account1",
+  "azure_blob_storage_account_key": "key1",
+  "azure_blob_storage_container_name": "testcontainer",
+  "streams": [
+    {
+      "name": "users",
+      "file_type": "jsonl",
+      "globs": ["**/test_parquet_users*.parquet"],
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "parquet"
+      }
+    },
+    {
+      "name": "purchases",
+      "file_type": "jsonl",
+      "globs": ["**/test_parquet_purchases*.parquet"],
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "parquet"
+      }
+    },
+    {
+      "name": "products",
+      "file_type": "jsonl",
+      "globs": ["**/test_parquet_products*.parquet"],
+      "validation_policy": "Emit Record",
+      "format": {
+        "filetype": "parquet"
+      }
+    }
+  ]
+}

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/conftest.py

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+# Copyright (c) 2024 Airbyte, Inc., all rights reserved.
+
+import logging
+import os
+import subprocess
+import time
+import uuid
+from typing import Any, Mapping
+
+import azure
+import docker
+import pytest
+from airbyte_protocol.models import ConfiguredAirbyteCatalog
+from azure.storage.blob import BlobServiceClient, ContainerClient
+from azure.storage.blob._shared.authentication import SharedKeyCredentialPolicy
+from fastavro import parse_schema, writer
+from pandas import read_csv
+from source_azure_blob_storage import SourceAzureBlobStorage
+
+from .utils import get_docker_ip, load_config
+
+logger = logging.getLogger("airbyte")
+
+JSON_TO_AVRO_TYPES = {"string": "string", "integer": "long", "number": "float", "object": "record"}
+
+
+# Monkey patch credentials method to make it work with "global-docker-host" inside dagger
+# (original method handles only localhost and 127.0.0.1 addresses)
+def _format_shared_key_credential(account_name, credential):
+    credentials = {"account_key": "key1", "account_name": "account1"}
+    return SharedKeyCredentialPolicy(**credentials)
+
+
+azure.storage.blob._shared.base_client._format_shared_key_credential = _format_shared_key_credential
+
+
+@pytest.fixture(scope="session")
+def docker_client() -> docker.client.DockerClient:
+    return docker.from_env()
+
+
+def get_container_client() -> ContainerClient:
+    docker_ip = get_docker_ip()
+    blob_service_client = BlobServiceClient(f"http://{docker_ip}:10000/account1", credential="key1")
+    container_client = blob_service_client.get_container_client("testcontainer")
+    return container_client
+
+
+def generate_random_csv_with_source_faker():
+    """Generate csv files using source-faker and save output to folder: /tmp/csv"""
+    subprocess.run(f"{os.path.dirname(__file__)}/csv_export/main.sh")
+
+
+@pytest.fixture(scope="session", autouse=True)
+def connector_setup_fixture(docker_client) -> None:
+    generate_random_csv_with_source_faker()
+    container = docker_client.containers.run(
+        image="mcr.microsoft.com/azure-storage/azurite",
+        command="azurite-blob --blobHost 0.0.0.0 -l /data --loose",
+        name=f"azurite_integration_{uuid.uuid4().hex}",
+        hostname="azurite",
+        ports={10000: ("0.0.0.0", 10000), 10001: ("0.0.0.0", 10001), 10002: ("0.0.0.0", 10002)},
+        environment={"AZURITE_ACCOUNTS": "account1:key1"},
+        detach=True,
+    )
+    time.sleep(10)
+    container_client = get_container_client()
+    container_client.create_container()
+
+    yield
+
+    container.kill()
+    container.remove()
+
+
+def upload_csv_files(container_client: ContainerClient) -> None:
+    """upload 30 csv files"""
+    for table in ("products", "purchases", "users"):
+        csv_large_file = open(f"/tmp/csv/{table}.csv", "rb").read()
+        for i in range(10):
+            container_client.upload_blob(f"test_csv_{table}_{i}.csv", csv_large_file, validate_content=False)
+
+
+@pytest.fixture(name="configured_catalog")
+def configured_catalog_fixture() -> ConfiguredAirbyteCatalog:
+    return SourceAzureBlobStorage.read_catalog(f"{os.path.dirname(__file__)}/integration_configured_catalog/configured_catalog.json")
+
+
+@pytest.fixture(name="config_csv", scope="function")
+def config_csv_fixture() -> Mapping[str, Any]:
+    config = load_config("config_integration_csv.json")
+    config["azure_blob_storage_endpoint"] = config["azure_blob_storage_endpoint"].replace("localhost", get_docker_ip())
+    container_client = get_container_client()
+    upload_csv_files(container_client)
+    yield config
+    for blob in container_client.list_blobs():
+        container_client.delete_blob(blob.name)
+
+
+def upload_jsonl_files(container_client: ContainerClient) -> None:
+    """upload 30 csv files"""
+    for table in ("products", "purchases", "users"):
+        df = read_csv(f"/tmp/csv/{table}.csv")
+        df.to_json(f"/tmp/csv/{table}.jsonl", orient="records", lines=True)
+        jsonl_file = open(f"/tmp/csv/{table}.jsonl", "rb").read()
+        for i in range(10):
+            container_client.upload_blob(f"test_jsonl_{table}_{i}.jsonl", jsonl_file, validate_content=False)
+
+
+@pytest.fixture(name="config_jsonl", scope="function")
+def config_jsonl_fixture() -> Mapping[str, Any]:
+    config = load_config("config_integration_jsonl.json")
+    config["azure_blob_storage_endpoint"] = config["azure_blob_storage_endpoint"].replace("localhost", get_docker_ip())
+    container_client = get_container_client()
+    upload_jsonl_files(container_client)
+    yield config
+    for blob in container_client.list_blobs():
+        container_client.delete_blob(blob.name)
+
+
+def upload_parquet_files(container_client: ContainerClient) -> None:
+    """upload 30 parquet files"""
+    for table in ("products", "purchases", "users"):
+        df = read_csv(f"/tmp/csv/{table}.csv")
+        parquet_file = df.to_parquet()
+        for i in range(10):
+            container_client.upload_blob(f"test_parquet_{table}_{i}.parquet", parquet_file, validate_content=False)
+
+
+@pytest.fixture(name="config_parquet", scope="function")
+def config_parquet_fixture() -> Mapping[str, Any]:
+    config = load_config("config_integration_parquet.json")
+    config["azure_blob_storage_endpoint"] = config["azure_blob_storage_endpoint"].replace("localhost", get_docker_ip())
+    container_client = get_container_client()
+    upload_parquet_files(container_client)
+    yield config
+    for blob in container_client.list_blobs():
+        container_client.delete_blob(blob.name)
+
+
+def upload_avro_files(container_client: ContainerClient, json_schemas: Mapping) -> None:
+    """upload 30 avro files"""
+    for table in ("products", "purchases", "users"):
+        schema = {
+            "name": table,
+            "namespace": "test",
+            "type": "record",
+            "fields": [
+                {
+                    "name": k,
+                    "type": JSON_TO_AVRO_TYPES.get(v.get("type")[1] if isinstance(v.get("type"), list) else v.get("type")),
+                    "default": "" if (v.get("type")[1] if isinstance(v.get("type"), list) else v.get("type")) == "string" else 0,
+                }
+                for k, v in json_schemas.get(table)["properties"].items()
+            ],
+        }
+        df_records = read_csv(f"/tmp/csv/{table}.csv").fillna("").to_dict("records")
+        parsed_schema = parse_schema(schema)
+        with open(f"/tmp/csv/{table}.avro", "wb") as out:
+            writer(out, parsed_schema, df_records)
+        avro_file = open(f"/tmp/csv/{table}.avro", "rb").read()
+        for i in range(10):
+            container_client.upload_blob(f"test_avro_{table}_{i}.avro", avro_file, validate_content=False)
+
+
+@pytest.fixture(name="config_avro", scope="function")
+def config_avro_fixture(configured_catalog) -> Mapping[str, Any]:
+    schemas = {x.stream.name: x.stream.json_schema for x in configured_catalog.streams}
+    config = load_config("config_integration_avro.json")
+    config["azure_blob_storage_endpoint"] = config["azure_blob_storage_endpoint"].replace("localhost", get_docker_ip())
+    container_client = get_container_client()
+    upload_avro_files(container_client, schemas)
+    yield config
+    for blob in container_client.list_blobs():
+        container_client.delete_blob(blob.name)

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/csv_export/README.md

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+# Python Source CSV Export
+
+This collection of tools is used to run the source and capture it's AirbyteMessages and convert them into CSV files. This is useful if you want to manually inspect this data or load it into a database manually.
+
+To be fast, we make use of parallel processing per-stream and only using command-line tools. This works by the main file (`main.sh`) running the source via python and tee-ing the output of RECORDS to sub-scripts which use `jq` to convert the records into CSV-delimited output, which we finally write to disk.
+
+As we read the connector config files, e.g. `--config secrets/config.json --state secrets/state.json --catalog integration_tests/configured_catalog.json`, you can manually step forward your sync if you need to read and store the input in chunks.
+
+## The road to 1TB of faker data
+
+There's commentary on this at https://github.com/airbytehq/airbyte/pull/20558, along with some cool SQL tricks.
+
+- 2 Billion faker users for 1TB: `10,000,000*(1024/5.02) = 2,039,840,637`
+- 200 Million faker users for 100GB: `10,000,000*(100/5.02) = 199,203,187`
+- 20 Million faker users for 10GB: `10,000,000*(10/5.02) = 19,920,318`
+
+But let's assume we don't have 1TB of local hard disk. So, we want to make 10 chunks of data, each around 100GB in size.
+
+**`config.json`**
+
+```json
+{
+  "count": 2039840637,
+  "seed": 0
+}
+```
+
+**`state.json`**
+
+At the end of every sync, increment the `id` in the users stream and the `user_id` in the purchases stream by `203984064`
+
+```json
+[
+  {
+    "type": "STREAM",
+    "stream": {
+      "stream_state": {
+        "id": 0
+      },
+      "stream_descriptor": {
+        "name": "users"
+      }
+    }
+  },
+  {
+    "type": "STREAM",
+    "stream": {
+      "stream_state": {
+        "id": 0,
+        "user_id": 0
+      },
+      "stream_descriptor": {
+        "name": "purchases"
+      }
+    }
+  },
+  {
+    "type": "STREAM",
+    "stream": {
+      "stream_state": {
+        "id": 0
+      },
+      "stream_descriptor": {
+        "name": "products"
+      }
+    }
+  }
+]
+```
+
+Finally, ensure that you've opted-into all the streams in `integration_tests/configured_catalog.json`
+
+## TODO
+
+- This is currently set up very manually, in that we build bash scripts for each stream and manually populate the header information. This information all already lives in the connector's catalog. We probably could build these bash files on-demand with a python script...

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/csv_export/configured_catalog/configured_catalog.json

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+{
+  "streams": [
+    {
+      "stream": {
+        "name": "users",
+        "json_schema": {
+          "$schema": "http://json-schema.org/draft-07/schema#",
+          "type": "object",
+          "properties": {
+            "id": { "type": "integer" },
+            "created_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "updated_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "name": { "type": "string" },
+            "title": { "type": "string" },
+            "age": { "type": "integer" },
+            "email": { "type": "string" },
+            "telephone": { "type": "string" },
+            "gender": { "type": "string" },
+            "language": { "type": "string" },
+            "academic_degree": { "type": "string" },
+            "nationality": { "type": "string" },
+            "occupation": { "type": "string" },
+            "height": { "type": "string" },
+            "blood_type": { "type": "string" },
+            "weight": { "type": "integer" }
+          }
+        },
+        "supported_sync_modes": ["incremental", "full_refresh"],
+        "source_defined_cursor": true,
+        "default_cursor_field": ["created_at"]
+      },
+      "sync_mode": "incremental",
+      "destination_sync_mode": "overwrite"
+    },
+    {
+      "stream": {
+        "name": "purchases",
+        "json_schema": {
+          "properties": {
+            "id": { "type": "integer" },
+            "user_id": { "type": "integer" },
+            "product_id": { "type": "integer" },
+            "created_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "updated_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "added_to_cart_at": {
+              "type": ["null", "string"],
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "purchased_at": {
+              "type": ["null", "string"],
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "returned_at": {
+              "type": ["null", "string"],
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            }
+          }
+        },
+        "supported_sync_modes": ["incremental", "full_refresh"],
+        "source_defined_cursor": true,
+        "default_cursor_field": ["created_at"]
+      },
+      "sync_mode": "incremental",
+      "destination_sync_mode": "overwrite"
+    },
+    {
+      "stream": {
+        "name": "products",
+        "json_schema": {
+          "properties": {
+            "id": { "type": "integer" },
+            "make": { "type": "string" },
+            "model": { "type": "string" },
+            "year": { "type": "integer" },
+            "price": { "type": "number" },
+            "created_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "updated_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            }
+          }
+        },
+        "supported_sync_modes": ["incremental", "full_refresh"],
+        "source_defined_cursor": true,
+        "default_cursor_field": ["created_at"]
+      },
+      "sync_mode": "incremental",
+      "destination_sync_mode": "overwrite"
+    }
+  ]
+}

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/csv_export/main.sh

@@ -0,0 +1,14 @@
+#!/usr/bin/env bash
+
+cd "$(dirname "$0")"
+
+mkdir -p /tmp/csv
+cp -r $(pwd) /tmp/csv
+
+docker run --rm \
+ -v /tmp/csv/csv_export/secret_faker:/secrets \
+  -v /tmp/csv/csv_export/configured_catalog:/integration_tests \
+  airbyte/source-faker:latest read \
+  --config /secrets/secret_faker.json \
+  --catalog /integration_tests/configured_catalog.json \
+  | tee >(./purchases.sh) >(./products.sh) >(./users.sh) > /dev/null

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/csv_export/products.sh

@@ -0,0 +1,12 @@
+#!/usr/bin/env bash
+
+cd "$(dirname "$0")"
+
+FILE="/tmp/csv/products.csv"
+
+rm -rf $FILE
+echo "id,make,year,model,price,created_at,updated_at" >> $FILE
+
+jq -c 'select((.type | contains("RECORD")) and (.record.stream | contains("products"))) .record.data' \
+  | jq -r '[.id, .make, .year, .model, .price, .created_at, .updated_at] | @csv' \
+  >> $FILE

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/csv_export/purchases.sh

@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+cd "$(dirname "$0")"
+
+FILE="/tmp/csv/purchases.csv"
+
+rm -rf $FILE
+
+echo "id,product_id,user_id,added_to_cart_at,purchased_at,returned_at" >> $FILE
+
+jq -c 'select((.type | contains("RECORD")) and (.record.stream | contains("purchases"))) .record.data' \
+  | jq -r '[.id, .product_id, .user_id, .added_to_cart_at, .purchased_at, .returned_at] | @csv' \
+  >> $FILE

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/csv_export/secret_faker/secret_faker.json

@@ -0,0 +1,6 @@
+{
+  "count": 100000,
+  "seed": 0,
+  "parallelism": 2,
+  "always_updated": false
+}

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/csv_export/users.sh

@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+cd "$(dirname "$0")"
+
+FILE="/tmp/csv/users.csv"
+
+rm -rf $FILE
+
+echo "id,created_at,updated_at,name,title,age,email,telephone,gender,language,academic_degree,nationality,occupation,height,blood_type,weight" >> $FILE
+
+jq -c 'select((.type | contains("RECORD")) and (.record.stream | contains("users"))) .record.data' \
+  | jq -r '[.id, .created_at, .updated_at, .name, .title, .age, .email, .telephone, .gender, .language, .academic_degree, .nationality, .occupation, .height, .blood_type, .weight] | @csv' \
+  >> $FILE

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/docker-compose.yaml

@@ -0,0 +1,16 @@
+version: "3.9"
+services:
+  azurite:
+    image: mcr.microsoft.com/azure-storage/azurite
+    container_name: "azurite"
+    hostname: azurite
+    ports:
+      - "10000:10000"
+      - "10001:10001"
+      - "10002:10002"
+    volumes:
+      - ./data:/data
+    environment:
+      - AZURITE_ACCOUNTS=account1:key1
+      - UseDevelopmentStorage=true
+    command: "azurite-blob --blobHost 0.0.0.0 --location /data --loose"

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/integration_configured_catalog/configured_catalog.json

@@ -0,0 +1,115 @@
+{
+  "streams": [
+    {
+      "stream": {
+        "name": "users",
+        "json_schema": {
+          "$schema": "http://json-schema.org/draft-07/schema#",
+          "type": "object",
+          "properties": {
+            "id": { "type": "integer" },
+            "created_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "updated_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "name": { "type": "string" },
+            "title": { "type": "string" },
+            "age": { "type": "integer" },
+            "email": { "type": "string" },
+            "telephone": { "type": "string" },
+            "gender": { "type": "string" },
+            "language": { "type": "string" },
+            "academic_degree": { "type": "string" },
+            "nationality": { "type": "string" },
+            "occupation": { "type": "string" },
+            "height": { "type": "number" },
+            "blood_type": { "type": "string" },
+            "weight": { "type": "integer" }
+          }
+        },
+        "supported_sync_modes": ["incremental", "full_refresh"],
+        "source_defined_cursor": true,
+        "default_cursor_field": ["created_at"]
+      },
+      "sync_mode": "incremental",
+      "destination_sync_mode": "overwrite"
+    },
+    {
+      "stream": {
+        "name": "purchases",
+        "json_schema": {
+          "properties": {
+            "id": { "type": "integer" },
+            "user_id": { "type": "integer" },
+            "product_id": { "type": "integer" },
+            "created_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "updated_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "added_to_cart_at": {
+              "type": ["null", "string"],
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "purchased_at": {
+              "type": ["null", "string"],
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "returned_at": {
+              "type": ["null", "string"],
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            }
+          }
+        },
+        "supported_sync_modes": ["incremental", "full_refresh"],
+        "source_defined_cursor": true,
+        "default_cursor_field": ["created_at"]
+      },
+      "sync_mode": "incremental",
+      "destination_sync_mode": "overwrite"
+    },
+    {
+      "stream": {
+        "name": "products",
+        "json_schema": {
+          "properties": {
+            "id": { "type": "integer" },
+            "make": { "type": "string" },
+            "model": { "type": "string" },
+            "year": { "type": "integer" },
+            "price": { "type": "number" },
+            "created_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            },
+            "updated_at": {
+              "type": "string",
+              "format": "date-time",
+              "airbyte_type": "timestamp_with_timezone"
+            }
+          }
+        },
+        "supported_sync_modes": ["incremental", "full_refresh"],
+        "source_defined_cursor": true,
+        "default_cursor_field": ["created_at"]
+      },
+      "sync_mode": "incremental",
+      "destination_sync_mode": "overwrite"
+    }
+  ]
+}

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/integration_test.py

@@ -0,0 +1,33 @@
+# Copyright (c) 2024 Airbyte, Inc., all rights reserved.
+
+from typing import Any, Mapping
+
+import pytest
+from airbyte_cdk.sources.file_based.stream.cursor import DefaultFileBasedCursor
+from airbyte_cdk.test.entrypoint_wrapper import read
+from airbyte_protocol.models import ConfiguredAirbyteCatalog
+from source_azure_blob_storage import Config, SourceAzureBlobStorage, SourceAzureBlobStorageStreamReader
+
+
+@pytest.mark.parametrize(
+    "config",
+    [
+        "config_csv",
+        "config_jsonl",
+        "config_parquet",
+        "config_avro",
+    ],
+)
+def test_read_files(configured_catalog: ConfiguredAirbyteCatalog, config: Mapping[str, Any], request):
+    """Read 2_001_000 records in 30 files"""
+    config = request.getfixturevalue(config)
+    source = SourceAzureBlobStorage(
+        SourceAzureBlobStorageStreamReader(),
+        spec_class=Config,
+        catalog=configured_catalog,
+        config=config,
+        state=None,
+        cursor_cls=DefaultFileBasedCursor,
+    )
+    output = read(source=source, config=config, catalog=configured_catalog)
+    assert sum(x.state.sourceStats.recordCount for x in output.state_messages) == 2_001_000

airbyte-integrations/connectors/source-azure-blob-storage/integration_tests/utils.py

@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Airbyte, Inc., all rights reserved.
+
+
+import json
+import os
+import re
+from typing import Any, Mapping, Union
+
+
+def load_config(config_path: str) -> Mapping[str, Any]:
+    with open(f"{os.path.dirname(__file__)}/configs/{config_path}", "r") as config:
+        return json.load(config)
+
+
+def get_docker_ip() -> Union[str, Any]:
+    # When talking to the Docker daemon via a UNIX socket, route all TCP
+    # traffic to docker containers via the TCP loopback interface.
+    docker_host = os.environ.get("DOCKER_HOST", "").strip()
+    if not docker_host or docker_host.startswith("unix://"):
+        return "127.0.0.1"
+
+    match = re.match(r"^tcp://(.+?):\d+$", docker_host)
+    if not match:
+        raise ValueError('Invalid value for DOCKER_HOST: "%s".' % (docker_host,))
+    return match.group(1)

airbyte-integrations/connectors/source-azure-blob-storage/metadata.yaml

@@ -7,7 +7,7 @@ data:
   connectorSubtype: file
   connectorType: source
   definitionId: fdaaba68-4875-4ed9-8fcd-4ae1e0a25093
-  dockerImageTag: 0.3.5
+  dockerImageTag: 0.3.6
   dockerRepository: airbyte/source-azure-blob-storage
   documentationUrl: https://docs.airbyte.com/integrations/sources/azure-blob-storage
   githubIssueLabel: source-azure-blob-storage

airbyte-integrations/connectors/source-azure-blob-storage/poetry.lock

@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "airbyte-cdk"
-version = "0.75.0"
+version = "0.78.3"
 description = "A framework for writing Airbyte Connectors."
 optional = false
-python-versions = ">=3.9"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "airbyte-cdk-0.75.0.tar.gz", hash = "sha256:c1eb6f2896b0e2ad5e4a37a3f424859f4ace6fe3cbb5a6fae167ee14c6094e41"},
-    {file = "airbyte_cdk-0.75.0-py3-none-any.whl", hash = "sha256:33bf3ad7a0c774585ddcdbece0411f1c2868a7c7ce41acdb22e60db49b09ca19"},
+    {file = "airbyte_cdk-0.78.3-py3-none-any.whl", hash = "sha256:699d61ace9f8ca4477e06af3ff1bc56856e955a444081a1701c41d94629dcd74"},
+    {file = "airbyte_cdk-0.78.3.tar.gz", hash = "sha256:192c2594d0e93140a7ec635fea3d4644318faada6aa986805752adf4caf9b126"},
 ]
 
 [package.dependencies]
@@ -16,13 +16,13 @@ airbyte-protocol-models = "0.5.1"
 avro = {version = ">=1.11.2,<1.12.0", optional = true, markers = "extra == \"file-based\""}
 backoff = "*"
 cachetools = "*"
-Deprecated = ">=1.2,<2.0"
+Deprecated = ">=1.2,<1.3"
 dpath = ">=2.0.1,<2.1.0"
 fastavro = {version = ">=1.8.0,<1.9.0", optional = true, markers = "extra == \"file-based\""}
 genson = "1.2.2"
 isodate = ">=0.6.1,<0.7.0"
 Jinja2 = ">=3.1.2,<3.2.0"
-jsonref = ">=0.2,<1.0"
+jsonref = ">=0.2,<0.3"
 jsonschema = ">=3.2.0,<3.3.0"
 markdown = {version = "*", optional = true, markers = "extra == \"file-based\""}
 pdf2image = {version = "1.16.3", optional = true, markers = "extra == \"file-based\""}
@@ -33,20 +33,16 @@ pydantic = ">=1.10.8,<2.0.0"
 pyrate-limiter = ">=3.1.0,<3.2.0"
 pytesseract = {version = "0.3.10", optional = true, markers = "extra == \"file-based\""}
 python-dateutil = "*"
-PyYAML = ">=6.0.1"
+PyYAML = ">=6.0.1,<7.0.0"
 requests = "*"
-requests-cache = "*"
-unstructured = [
-    {version = "0.10.27", optional = true, markers = "extra == \"file-based\""},
-    {version = "0.10.27", extras = ["docx", "pptx"], optional = true, markers = "extra == \"file-based\""},
-]
+requests_cache = "*"
+unstructured = {version = "0.10.27", extras = ["docx", "pptx"], optional = true, markers = "extra == \"file-based\""}
 "unstructured.pytesseract" = {version = ">=0.3.12", optional = true, markers = "extra == \"file-based\""}
 wcmatch = "8.4"
 
 [package.extras]
-dev = ["avro (>=1.11.2,<1.12.0)", "cohere (==4.21)", "fastavro (>=1.8.0,<1.9.0)", "freezegun", "langchain (==0.0.271)", "markdown", "mypy", "openai[embeddings] (==0.27.9)", "pandas (==2.0.3)", "pdf2image (==1.16.3)", "pdfminer.six (==20221105)", "pyarrow (>=15.0.0,<15.1.0)", "pytesseract (==0.3.10)", "pytest", "pytest-cov", "pytest-httpserver", "pytest-mock", "requests-mock", "tiktoken (==0.4.0)", "unstructured (==0.10.27)", "unstructured.pytesseract (>=0.3.12)", "unstructured[docx,pptx] (==0.10.27)"]
-file-based = ["avro (>=1.11.2,<1.12.0)", "fastavro (>=1.8.0,<1.9.0)", "markdown", "pdf2image (==1.16.3)", "pdfminer.six (==20221105)", "pyarrow (>=15.0.0,<15.1.0)", "pytesseract (==0.3.10)", "unstructured (==0.10.27)", "unstructured.pytesseract (>=0.3.12)", "unstructured[docx,pptx] (==0.10.27)"]
-sphinx-docs = ["Sphinx (>=4.2,<5.0)", "sphinx-rtd-theme (>=1.0,<2.0)"]
+file-based = ["avro (>=1.11.2,<1.12.0)", "fastavro (>=1.8.0,<1.9.0)", "markdown", "pdf2image (==1.16.3)", "pdfminer.six (==20221105)", "pyarrow (>=15.0.0,<15.1.0)", "pytesseract (==0.3.10)", "unstructured.pytesseract (>=0.3.12)", "unstructured[docx,pptx] (==0.10.27)"]
+sphinx-docs = ["Sphinx (>=4.2,<4.3)", "sphinx-rtd-theme (>=1.0,<1.1)"]
 vector-db-based = ["cohere (==4.21)", "langchain (==0.0.271)", "openai[embeddings] (==0.27.9)", "tiktoken (==0.4.0)"]
 
 [[package]]
@@ -531,6 +527,27 @@ wrapt = ">=1.10,<2"
 [package.extras]
 dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 
+[[package]]
+name = "docker"
+version = "7.0.0"
+description = "A Python library for the Docker Engine API."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "docker-7.0.0-py3-none-any.whl", hash = "sha256:12ba681f2777a0ad28ffbcc846a69c31b4dfd9752b47eb425a274ee269c5e14b"},
+    {file = "docker-7.0.0.tar.gz", hash = "sha256:323736fb92cd9418fc5e7133bc953e11a9da04f4483f828b527db553f1e7e5a3"},
+]
+
+[package.dependencies]
+packaging = ">=14.0"
+pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""}
+requests = ">=2.26.0"
+urllib3 = ">=1.26.0"
+
+[package.extras]
+ssh = ["paramiko (>=2.4.3)"]
+websockets = ["websocket-client (>=1.3.0)"]
+
 [[package]]
 name = "dpath"
 version = "2.0.8"
@@ -722,13 +739,13 @@ files = [
 
 [[package]]
 name = "jsonref"
-version = "0.3.0"
-description = "jsonref is a library for automatic dereferencing of JSON Reference objects for Python."
+version = "0.2"
+description = "An implementation of JSON Reference for Python"
 optional = false
-python-versions = ">=3.3,<4.0"
+python-versions = "*"
 files = [
-    {file = "jsonref-0.3.0-py3-none-any.whl", hash = "sha256:9480ad1b500f7e795daeb0ef29f9c55ae3a9ab38fb8d6659b6f4868acb5a5bc8"},
-    {file = "jsonref-0.3.0.tar.gz", hash = "sha256:68b330c6815dc0d490dbb3d65ccda265ddde9f7856fd2f3322f971d456ea7549"},
+    {file = "jsonref-0.2-py3-none-any.whl", hash = "sha256:b1e82fa0b62e2c2796a13e5401fe51790b248f6d9bf9d7212a3e31a3501b291f"},
+    {file = "jsonref-0.2.tar.gz", hash = "sha256:f3c45b121cf6257eafabdc3a8008763aed1cd7da06dbabc59a9e4d2a5e4e6697"},
 ]
 
 [[package]]
@@ -768,96 +785,132 @@ six = "*"
 
 [[package]]
 name = "lxml"
-version = "5.1.0"
+version = "5.2.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
 files = [
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-    {file = "lxml-5.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9d3c0f8567ffe7502d969c2c1b809892dc793b5d0665f602aad19895f8d508da"},
-    {file = "lxml-5.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5fcfbebdb0c5d8d18b84118842f31965d59ee3e66996ac842e21f957eb76138c"},
-    {file = "lxml-5.1.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2f37c6d7106a9d6f0708d4e164b707037b7380fcd0b04c5bd9cae1fb46a856fb"},
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-    {file = "lxml-5.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:4946e7f59b7b6a9e27bef34422f645e9a368cb2be11bf1ef3cafc39a1f6ba68d"},
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+    {file = "pywin32-306-cp312-cp312-win_arm64.whl", hash = "sha256:5821ec52f6d321aa59e2db7e0a35b997de60c201943557d108af9d4ae1ec7040"},
+    {file = "pywin32-306-cp37-cp37m-win32.whl", hash = "sha256:1c73ea9a0d2283d889001998059f5eaaba3b6238f767c9cf2833b13e6a685f65"},
+    {file = "pywin32-306-cp37-cp37m-win_amd64.whl", hash = "sha256:72c5f621542d7bdd4fdb716227be0dd3f8565c11b280be6315b06ace35487d36"},
+    {file = "pywin32-306-cp38-cp38-win32.whl", hash = "sha256:e4c092e2589b5cf0d365849e73e02c391c1349958c5ac3e9d5ccb9a28e017b3a"},
+    {file = "pywin32-306-cp38-cp38-win_amd64.whl", hash = "sha256:e8ac1ae3601bee6ca9f7cb4b5363bf1c0badb935ef243c4733ff9a393b1690c0"},
+    {file = "pywin32-306-cp39-cp39-win32.whl", hash = "sha256:e25fd5b485b55ac9c057f67d94bc203f3f6595078d1fb3b458c9c28b7153a802"},
+    {file = "pywin32-306-cp39-cp39-win_amd64.whl", hash = "sha256:39b61c15272833b5c329a2989999dcae836b1eed650252ab1b7bfbe1d59f30f4"},
+]
+
 [[package]]
 name = "pyyaml"
 version = "6.0.1"
@@ -1882,22 +2031,20 @@ yaml = ["pyyaml (>=6.0.1)"]
 
 [[package]]
 name = "requests-mock"
-version = "1.11.0"
+version = "1.12.1"
 description = "Mock out responses from the requests package"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5"
 files = [
-    {file = "requests-mock-1.11.0.tar.gz", hash = "sha256:ef10b572b489a5f28e09b708697208c4a3b2b89ef80a9f01584340ea357ec3c4"},
-    {file = "requests_mock-1.11.0-py2.py3-none-any.whl", hash = "sha256:f7fae383f228633f6bececebdab236c478ace2284d6292c6e7e2867b9ab74d15"},
+    {file = "requests-mock-1.12.1.tar.gz", hash = "sha256:e9e12e333b525156e82a3c852f22016b9158220d2f47454de9cae8a77d371401"},
+    {file = "requests_mock-1.12.1-py2.py3-none-any.whl", hash = "sha256:b1e37054004cdd5e56c84454cc7df12b25f90f382159087f4b6915aaeef39563"},
 ]
 
 [package.dependencies]
-requests = ">=2.3,<3"
-six = "*"
+requests = ">=2.22,<3"
 
 [package.extras]
 fixture = ["fixtures"]
-test = ["fixtures", "mock", "purl", "pytest", "requests-futures", "sphinx", "testtools"]
 
 [[package]]
 name = "setuptools"
@@ -2034,6 +2181,17 @@ files = [
 mypy-extensions = ">=0.3.0"
 typing-extensions = ">=3.7.4"
 
+[[package]]
+name = "tzdata"
+version = "2024.1"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
+]
+
 [[package]]
 name = "unstructured"
 version = "0.10.27"
@@ -2282,4 +2440,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9,<3.12"
-content-hash = "393428f80d2c941036388c6ea1bb7d72a20e554b58da596593a63b64ada67f90"
+content-hash = "9f60ba4978f0e4d71316fa93c59dbaa0103f50be582641f436b0eade8a5ba0e4"

airbyte-integrations/connectors/source-azure-blob-storage/pyproject.toml

@@ -3,7 +3,7 @@ requires = [ "poetry-core>=1.0.0",]
 build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
-version = "0.3.5"
+version = "0.3.6"
 name = "source-azure-blob-storage"
 description = "Source implementation for Azure Blob Storage."
 authors = [ "Airbyte <contact@airbyte.io>",]
@@ -18,7 +18,7 @@ include = "source_azure_blob_storage"
 [tool.poetry.dependencies]
 python = "^3.9,<3.12"
 pytz = "==2024.1"
-airbyte-cdk = {version = "0.75", extras = ["file-based"]}
+airbyte-cdk = {extras = ["file-based"], version = "^0"}
 [tool.poetry.dependencies.smart-open]
 extras = [ "azure",]
 version = "==6.4.0"
@@ -27,6 +27,8 @@ version = "==6.4.0"
 source-azure-blob-storage = "source_azure_blob_storage.run:run"
 
 [tool.poetry.group.dev.dependencies]
+docker = "^7.0.0"
 pytest-mock = "^3.6.1"
 requests-mock = "^1.9.3"
+pandas = "2.2.1"
 pytest = "^6.2"

airbyte-integrations/connectors/source-azure-blob-storage/source_azure_blob_storage/stream_reader.py

@@ -1,7 +1,6 @@
 # Copyright (c) 2023 Airbyte, Inc., all rights reserved.
 
 import logging
-from contextlib import contextmanager
 from io import IOBase
 from typing import Iterable, List, Optional