diff --git a/.dlt/config.toml b/.dlt/config.toml index 2e36ec31..c86b2b79 100644 --- a/.dlt/config.toml +++ b/.dlt/config.toml @@ -10,7 +10,7 @@ log_format = "JSON" # default: 60 request_timeout = 60 # default: 5 -request_max_attempts = 2 +request_max_attempts = 10 # default: 1 request_backoff_factor = 1.5 # default: 300 diff --git a/.github/workflows/docker_build.yaml b/.github/workflows/docker_build.yaml index be606ea4..5949ec5b 100644 --- a/.github/workflows/docker_build.yaml +++ b/.github/workflows/docker_build.yaml @@ -6,12 +6,8 @@ on: workflow_call: push: - branches: ["main"] - # Publish semver tags as releases. - tags: - - "v[0-9]+.[0-9]+.[0-9]+" - - "[0-9]+.[0-9]+.[0-9]+" - - "[0-9]+.[0-9]+.[0-9]+-*" + branches: + - main pull_request: types: - opened diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index f8eb20ac..98287e6b 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -3,8 +3,7 @@ permissions: contents: read on: - push: - branches: [main, develop] + workflow_call: pull_request: types: diff --git a/.github/workflows/trivy.yaml b/.github/workflows/trivy.yaml index d09c170e..aa6735f4 100644 --- a/.github/workflows/trivy.yaml +++ b/.github/workflows/trivy.yaml @@ -6,8 +6,7 @@ name: trivy on: - push: - branches: [main, develop] + workflow_call: pull_request: types: diff --git a/README.md b/README.md index 98aba015..4ecc8b96 100644 --- a/README.md +++ b/README.md @@ -12,6 +12,7 @@ Repo for CDM input data loading and wrangling - [Loading genomes, contigs, and features](#loading-genomes-contigs-and-features) - [Running bbmap stats and checkm2 on genome or contigset files](#running-bbmap-stats-and-checkm2-on-genome-or-contigset-files) - [Changelog](#changelog) + - [v0.1.7](#v017) - [v0.1.6](#v016) - [v0.1.5](#v015) - [v0.1.4](#v014) @@ -171,6 +172,10 @@ where `path/to/genome_paths_file.json` specifies the path to the genome paths fi ## Changelog +### v0.1.7 + +- Add in AllTheBacteria file download client. + ### v0.1.6 - Make NCBI REST API client more resilient to errors and ensure existing imports are not lost. diff --git a/pyproject.toml b/pyproject.toml index c90538a0..b5cce288 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "cdm-data-loaders" -version = "0.1.6" +version = "0.1.7" description = "Data loaders and wranglers for the CDM." requires-python = ">= 3.13" readme = "README.md" @@ -16,16 +16,18 @@ dependencies = [ "delta-spark>=4.1.0", "dlt[deltalake,duckdb,filesystem,parquet]>=1.22.2", "frictionless[aws]>=5.18.1", + "frozendict>=2.4.7", "lxml>=6.0.2", "pydantic>=2.12.5", "pydantic-settings>=2.12.0", + "tqdm>=4.67.3", ] [project.scripts] -# idmapping = "cdm_data_loaders.parsers.uniprot.idmapping:cli" +all_the_bacteria = "cdm_data_loaders.pipelines.all_the_bacteria:cli" +ncbi_rest_api = "cdm_data_loaders.pipelines.ncbi_rest_api:cli" uniprot = "cdm_data_loaders.pipelines.uniprot_kb:cli" uniref = "cdm_data_loaders.pipelines.uniref:cli" -ncbi_rest_api = "cdm_data_loaders.pipelines.ncbi_rest_api:cli" [dependency-groups] dev = [ @@ -48,11 +50,6 @@ xml = [ ] [project.optional-dependencies] -# for s3 interactions -- see utils/s3.py for more details -s3 = [ - "boto3[crt]>=1.42.0", - "tqdm>=4.67.3", -] [tool.ruff] line-length = 120 diff --git a/scripts/entrypoint.sh b/scripts/entrypoint.sh index 74d90521..2be0475f 100755 --- a/scripts/entrypoint.sh +++ b/scripts/entrypoint.sh @@ -3,7 +3,7 @@ set -euo pipefail # Ensure at least one argument is provided if [ "$#" -eq 0 ]; then - echo "Usage: $0 {uniref|uniprot|ncbi_rest_api|xml_split|test} [args...]" + echo "Usage: $0 {all_the_bacteria|ncbi_rest_api|uniprot|uniref|xml_split|test} [args...]" exit 1 fi @@ -11,21 +11,25 @@ cmd="$1" shift case "$cmd" in - xml_split) - # Run the xml_file_splitter app - exec /usr/bin/tini -- xml_file_splitter "$@" + all_the_bacteria) + # All the Bacteria file importer + exec /usr/bin/tini -- uv run --no-sync all_the_bacteria "$@" ;; - uniref) - # Run the uniref pipeline with any additional arguments - exec /usr/bin/tini -- uv run --no-sync uniref "$@" + ncbi_rest_api) + # Run the NCBI datasets API importer + exec /usr/bin/tini -- uv run --no-sync ncbi_rest_api "$@" ;; uniprot) # Run the uniprot pipeline with any additional arguments exec /usr/bin/tini -- uv run --no-sync uniprot "$@" ;; - ncbi_rest_api) - # Run the NCBI datasets API importer - exec /usr/bin/tini -- uv run --no-sync ncbi_rest_api "$@" + uniref) + # Run the uniref pipeline with any additional arguments + exec /usr/bin/tini -- uv run --no-sync uniref "$@" + ;; + xml_split) + # Run the xml_file_splitter app + exec /usr/bin/tini -- xml_file_splitter "$@" ;; test) # run the tests @@ -35,7 +39,7 @@ case "$cmd" in exec /usr/bin/tini -- /bin/bash ;; *) - echo "Error: unknown command '$cmd'; valid commands are 'uniref', 'uniprot', 'ncbi_rest_api', or 'xml_split'." >&2 + echo "Error: unknown command '$cmd'; valid commands are 'all_the_bacteria', 'ncbi_rest_api', 'uniprot', 'uniref', or 'xml_split'." >&2 exit 1 ;; esac diff --git a/src/cdm_data_loaders/pipelines/all_the_bacteria.py b/src/cdm_data_loaders/pipelines/all_the_bacteria.py new file mode 100644 index 00000000..bb32836a --- /dev/null +++ b/src/cdm_data_loaders/pipelines/all_the_bacteria.py @@ -0,0 +1,221 @@ +"""All The Bacteria bulk data downloader. + +Project documentation: https://allthebacteria.org/ + +Batch downloading from OSF: https://allthebacteria.org/docs/osf_downloads/ + +all_atb_files.tsv: https://osf.io/xv7q9/files/r6gcp (or Rg6cp, casing varies) + +""" + +import csv +import logging +import re +from collections.abc import Generator +from pathlib import Path +from typing import Any + +import dlt +from dlt.extract.items import DataItemWithMeta +from dlt.sources.helpers.rest_client.client import RESTClient +from frozendict import frozendict +from pydantic import AliasChoices, Field +from pydantic_settings import SettingsConfigDict + +from cdm_data_loaders.pipelines.core import ( + run_cli, + run_pipeline, +) +from cdm_data_loaders.pipelines.cts_defaults import DEFAULT_SETTINGS_CONFIG_DICT, CtsSettings +from cdm_data_loaders.utils.download.sync_client import FileDownloader + +logger = logging.getLogger("dlt") + + +DATASET_NAME = "all_the_bacteria" +ALL_FILES_TSV_FILE_ID = "R6gcp" +ATB_VERSION = "2025-05" + +ARG_ALIASES = frozendict( + { + "version": ["-v", "--version"], + } +) + + +class AtbSettings(CtsSettings): + """Configuration for running the AllTheBacteria import pipeline.""" + + model_config = SettingsConfigDict(**DEFAULT_SETTINGS_CONFIG_DICT, cli_prog_name="all_the_bacteria") + + version: str = Field( + default=ATB_VERSION, + description="Name of the current AllTheBacteria version", + validation_alias=AliasChoices(*[alias.strip("-") for alias in ARG_ALIASES["version"]]), + ) + + @property + def raw_data_dir(self) -> str: + """Directory in which to save the raw data files that are downloaded. + + Set to the output directory / "raw_data" / version. + """ + return str(Path(self.output) / "raw_data" / self.version) + + +# project parts needed: +PROJECT_PARTS = ["Annotation/Bakta", "Assembly", "Metadata"] + +PROJECT_PART_REGEX = re.compile(f"^AllTheBacteria/({'|'.join(PROJECT_PARTS)})") + +EXPECTED_ATB_FIELDNAMES = ["project", "project_id", "filename", "url", "md5", "size(MB)"] +REQUIRED_ATB_FIELDNAMES = {"project", "filename", "url", "md5"} + + +def download_atb_index_tsv(settings: AtbSettings) -> Path: + """Download the ATB file index TSV file from the OSF and save it to disk. + + :param settings: pipeline config + :type settings: Settings + :raises RuntimeError: if the download URL cannot be found + :return: path to the downloaded file + :rtype: Path + """ + # make sure that the directory structure to save the file in can be written to + raw_data_dir = Path(settings.raw_data_dir) + raw_data_dir.mkdir(parents=True, exist_ok=True) + + # get the all_atb_files.tsv file info from the OSF API and retrieve the download link + osf_client = RESTClient( + base_url="https://api.osf.io/v2/", + headers={"accept": "application/json"}, + data_selector="data", + ) + resp = osf_client.get(f"https://api.osf.io/v2/files/{ALL_FILES_TSV_FILE_ID}/") + resp.raise_for_status() + + resp_json = resp.json() + all_files_tsv_download = resp_json.get("data", {}).get("links", {}).get("download") + if all_files_tsv_download is None: + logger.error("Could not find download URL in OSF API response:") + logger.error(resp_json) + err_msg = f"Could not find download URL in response from 'https://api.osf.io/v2/files/{ALL_FILES_TSV_FILE_ID}/'" + raise RuntimeError(err_msg) + + atb_files_tsv = raw_data_dir / "all_atb_files.tsv" + # download the file listing and save it + FileDownloader().download(all_files_tsv_download, atb_files_tsv) + return atb_files_tsv + + +def get_file_download_links(atb_files_tsv: Path) -> Generator[list[dict[str, Any]], Any]: + """Parse the ATB file index TSV and to yield a list of files to download. + + :param atb_files_tsv: path to the ATB file index TSV file + :type atb_files_tsv: Path + :yield: list of fields to download + :rtype: Generator[list[dict[str, Any]], Any] + """ + with atb_files_tsv.open() as index_file: + reader = csv.DictReader(index_file, delimiter="\t") + all_lines = list(reader) + if not all_lines: + err_msg = f"No valid TSV data found in {atb_files_tsv!s}" + logger.error(err_msg) + raise RuntimeError(err_msg) + + if reader.fieldnames != EXPECTED_ATB_FIELDNAMES: + err_msg = f"ATB file index TSV headers have changed.\nExpected: {EXPECTED_ATB_FIELDNAMES}\nGot: {reader.fieldnames}" + logger.warning(err_msg) + # do we have the essentials? project, filename, url, md5 + missing_required_fields = [f for f in REQUIRED_ATB_FIELDNAMES if f not in (reader.fieldnames or [])] + if missing_required_fields: + err_msg = f"Missing required ATB file index TSV headers: {sorted(missing_required_fields)}" + logger.error(err_msg) + raise RuntimeError(err_msg) + + files_to_download = [row for row in all_lines if PROJECT_PART_REGEX.match(row["project"])] + + yield files_to_download + + +def osf_file_downloader(settings: AtbSettings, atb_file_list: list[dict[str, Any]]) -> Generator[DataItemWithMeta, Any]: + """Download files from OSF to the local storage space. + + :param settings: pipeline config + :type settings: Settings + :param atb_file_list: list of dictionaries + :type atb_file_list: list[dict[str, Any]] + """ + client = FileDownloader() + raw_data_dir = Path(settings.raw_data_dir) + successful_downloads = [] + for f in atb_file_list: + try: + save_path = raw_data_dir / f["filename"] + client.download(f["url"], save_path, expected_checksum=f["md5"], checksum_fn="md5") + f["path"] = str(save_path) + successful_downloads.append(f) + except Exception as e: + # do something! + err_msg = f"Could not download file from {f['url']}: {e!s}" + logger.exception(err_msg) + continue + + yield dlt.mark.with_table_name(successful_downloads, "downloaded_files") + + +@dlt.resource(name="atb_file_list") +def atb_file_list(settings: AtbSettings) -> Generator[list[dict[str, Any]], Any, Any]: + """Generate a list of files to download from the list of all ATB files.""" + atb_files_tsv = download_atb_index_tsv(settings) + return get_file_download_links(atb_files_tsv) + + +@dlt.transformer(name="file_downloader", data_from=atb_file_list, parallelized=True) +def file_downloader( + atb_file_list: list[dict[str, Any]], + settings: AtbSettings, +) -> Generator[DataItemWithMeta, Any]: + """Download ATB files to disk. + + :param settings: pipeline config + :type settings: Settings + :param atb_file_list: list of files to download + :type atb_file_list: list[dict[str, Any]] + :return: output of the osf_file_downloader + :rtype: Generator[DataItemWithMeta] + """ + return osf_file_downloader(settings, atb_file_list) + + +def run_atb_pipeline(settings: AtbSettings) -> None: + """Run the AllTheBacteria pipeline. + + :param settings: configuration for the pipeline + :type settings: AtbSettings + """ + atb_file_list.bind(settings) + file_downloader.bind(settings) + + pipeline_kwargs: dict[str, Any] = { + "pipeline_name": DATASET_NAME, + "dataset_name": DATASET_NAME, + } + + run_pipeline( + settings=settings, + resource=file_downloader, + destination_kwargs={"max_table_nesting": 0}, + pipeline_kwargs=pipeline_kwargs, + pipeline_run_kwargs=None, + ) + + +def cli() -> None: + """CLI interface for the AllTheBacteria importer pipeline.""" + run_cli(AtbSettings, run_atb_pipeline) + + +if __name__ == "__main__": + cli() diff --git a/src/cdm_data_loaders/pipelines/core.py b/src/cdm_data_loaders/pipelines/core.py index 81dc3f7d..3d821f59 100644 --- a/src/cdm_data_loaders/pipelines/core.py +++ b/src/cdm_data_loaders/pipelines/core.py @@ -1,6 +1,8 @@ """Common reusable pipeline elements.""" import datetime +import logging +import os from collections.abc import Callable, Generator from typing import Any @@ -8,36 +10,64 @@ from dlt.common.runtime.slack import send_slack_message from dlt.extract.items import DataItemWithMeta from pydantic import ValidationError -from pydantic_settings import BaseSettings, SettingsError +from pydantic_settings import SettingsError -from cdm_data_loaders.pipelines.cts_defaults import DEFAULT_BATCH_SIZE, BatchedFileInputSettings, CtsDefaultSettings -from cdm_data_loaders.utils.cdm_logger import get_cdm_logger +from cdm_data_loaders.pipelines.cts_defaults import DEFAULT_BATCH_SIZE, BatchedFileInputSettings, CtsSettings from cdm_data_loaders.utils.file_system import BatchCursor from cdm_data_loaders.utils.xml_utils import stream_xml_file -logger = get_cdm_logger() +logger = logging.getLogger("dlt") -def run_cli(settings_cls: type[BaseSettings], pipeline_fn: Callable[[Any], None]) -> None: +def construct_env_var() -> None: + """Use environment variables to construct a new environment variable.""" + b_var = os.environ.get("VARIABLE_B") + t_var = os.environ.get("VARIABLE_T") + char_str = os.environ.get("CHAR_STR") + if all([b_var, t_var, char_str]): + os.environ["RUNTIME__SLACK_INCOMING_HOOK"] = f"https://hooks.slack.com/services/{b_var}/{t_var}/{char_str}/" + + +def sync_configs(settings: CtsSettings, dlt_config: Any) -> None: + """Sync the dlt config with the config derived from the CLI settings.""" + dlt_config["normalize.data_writer.disable_compression"] = settings.dev_mode + # make sure that the destination bucket_url is set correctly + dlt_config[f"destination.{settings.use_destination}.bucket_url"] = settings.output + + +def dump_settings(settings: CtsSettings) -> None: + """Dump the pipeline settings to the logger.""" + settings_minus_dlt_config = settings.model_dump(exclude={"dlt_config"}) + logger.info("Pipeline settings:") + logger.info(settings_minus_dlt_config) + + +def run_cli(settings_cls: type[CtsSettings], pipeline_fn: Callable[[Any], None]) -> None: """Generic CLI entry point for any pipeline. :param settings_cls: the Settings class to instantiate :param pipeline_fn: the run_pipeline function to call with the config """ + # piece together env vars + construct_env_var() + + # instantiate the config try: - config = settings_cls() - except (SettingsError, ValidationError) as e: - print(f"Error initialising config: {e}") + settings = settings_cls(dlt_config=dlt.config) + sync_configs(settings, dlt.config) + except (SettingsError, ValidationError, ValueError): + logger.exception("Error initialising config") raise - except Exception as e: - print(f"Unexpected error setting up config: {e}") + except Exception: + logger.exception("Unexpected error setting up config") raise - pipeline_fn(config) + dump_settings(settings) + pipeline_fn(settings) def run_pipeline( - config: CtsDefaultSettings, + settings: CtsSettings, resource: Any, # noqa: ANN401 destination_kwargs: dict[str, Any] | None = None, pipeline_kwargs: dict[str, Any] | None = None, @@ -45,8 +75,8 @@ def run_pipeline( ) -> None: """Execute a dlt pipeline. - :param config: pipeline config with output and destination - :type config: BatchedFileInputSettings + :param settings: pipeline config with output and destination + :type settings: BatchedFileInputSettings :param resource: dlt resource to run :type resource: Any :param destination_kwargs: keyword arguments for the dlt destination @@ -56,11 +86,20 @@ def run_pipeline( :param pipeline_run_kwargs: keyword arguments for the dlt pipeline run :type pipeline_run_kwargs: dict[str, Any] | None """ - if config.output: - dlt.config[f"destination.{config.destination}.bucket_url"] = config.output + if not pipeline_kwargs: + pipeline_kwargs = {} + + # set the output directory for all the pipeline gubbins + if settings.pipeline_dir: + pipeline_kwargs["pipelines_dir"] = settings.pipeline_dir + + # update dev mode + if settings.dev_mode: + pipeline_kwargs["dev_mode"] = settings.dev_mode + + destination = dlt.destination(settings.use_destination, **(destination_kwargs or {})) - destination = dlt.destination(config.destination, **(destination_kwargs or {})) - pipeline = dlt.pipeline(destination=destination, **(pipeline_kwargs or {})) + pipeline = dlt.pipeline(destination=destination, **pipeline_kwargs) slack_hook: str | None = pipeline.runtime_config.slack_incoming_hook @@ -83,24 +122,28 @@ def run_pipeline( def stream_xml_file_resource( - config: BatchedFileInputSettings, + settings: BatchedFileInputSettings, xml_tag: str, parse_fn: Callable, log_interval: int = 1000, ) -> Generator[DataItemWithMeta, Any]: """Core generator shared by XML-based dlt pipeline resources. - :param config: pipeline config with input_dir and start_at + :param settings: pipeline config with input_dir and start_at + :type settings: BatchedFileInputSettings :param xml_tag: XML element tag to stream + :type xml_tag: str :param parse_fn: callable(entry, timestamp, file_path) -> dict[str, rows] + :type parse_fn: Callable :param log_interval: log a progress message every N entries + :type log_interval: int """ timestamp = datetime.datetime.now(tz=datetime.UTC) batch_params: dict[str, Any] = {} - if config.start_at: - batch_params["start_at"] = config.start_at + if settings.start_at: + batch_params["start_at"] = settings.start_at - batcher = BatchCursor(config.input_dir, batch_size=DEFAULT_BATCH_SIZE, **batch_params) + batcher = BatchCursor(settings.input_dir, batch_size=DEFAULT_BATCH_SIZE, **batch_params) while files := batcher.get_batch(): for file_path in files: logger.info("Reading from %s", str(file_path)) diff --git a/src/cdm_data_loaders/pipelines/cts_defaults.py b/src/cdm_data_loaders/pipelines/cts_defaults.py index d609907b..5f59ff91 100644 --- a/src/cdm_data_loaders/pipelines/cts_defaults.py +++ b/src/cdm_data_loaders/pipelines/cts_defaults.py @@ -1,62 +1,172 @@ """Common defaults for running pipelines on the KBase CTS.""" -from pydantic import AliasChoices, Field, field_validator -from pydantic_settings import BaseSettings, SettingsConfigDict +from pathlib import Path +from typing import Any, Self + +import dlt.common.configuration.accessors +from frozendict import frozendict +from pydantic import AliasChoices, Field, computed_field, field_validator, model_validator +from pydantic_settings import BaseSettings, CliSuppress, SettingsConfigDict INPUT_MOUNT = "/input_dir" OUTPUT_MOUNT = "/output_dir" VALID_DESTINATIONS = ["local_fs", "s3"] DEFAULT_BATCH_SIZE = 50 +DEFAULT_START_AT = 0 + +# TODO: frozendict can be moved to the stdlib implementation when py 3.15 is released. + + +DEFAULT_CTS_SETTINGS = frozendict( + { + "dev_mode": False, + "input_dir": INPUT_MOUNT, + # N.b. this gets replaced by destination.local_fs.bucket_url + "output": "", + "use_destination": "local_fs", + "use_output_dir_for_pipeline_metadata": False, + } +) + +DEFAULT_BATCH_FILE_SETTINGS = frozendict( + { + **DEFAULT_CTS_SETTINGS, + "start_at": DEFAULT_START_AT, + } +) + + +ARG_ALIASES = frozendict( + { + "batch_size": ["-b", "--batch_size", "--batch-size"], + "dev_mode": ["--dev_mode", "--dev-mode", "--dev"], + "input_dir": ["-i", "--input_dir", "--input-dir"], + "output": ["-o", "--output"], + "start_at": ["-s", "--start_at", "--start-at"], + "use_destination": ["-d", "--use_destination", "--use-destination"], + "use_output_dir_for_pipeline_metadata": [ + "-p", + "--use_output_dir_for_pipeline_metadata", + "--use-output-dir-for-pipeline-metadata", + ], + } +) + +DEFAULT_SETTINGS_CONFIG_DICT = frozendict( + { + "cli_parse_args": True, + "cli_exit_on_error": False, + "cli_ignore_unknown_args": True, + "str_strip_whitespace": True, + } +) -class CtsDefaultSettings(BaseSettings): +class CtsSettings(BaseSettings): """Configuration for running a basic import pipeline.""" - model_config = SettingsConfigDict( - cli_parse_args=True, - cli_exit_on_error=False, - cli_ignore_unknown_args=True, + model_config = SettingsConfigDict(**DEFAULT_SETTINGS_CONFIG_DICT) + + dev_mode: bool = Field( + default=DEFAULT_CTS_SETTINGS["dev_mode"], + description="Whether to run the pipeline in dev mode, which saves raw API responses to disk and disables compression for easier debugging.", + validation_alias=AliasChoices(*[alias.strip("-") for alias in ARG_ALIASES["dev_mode"]]), ) input_dir: str = Field( - default=INPUT_MOUNT, - description="Location of directory containing UniRef XML files to import", + default=DEFAULT_CTS_SETTINGS["input_dir"], + description="Location of directory containing file(s) to import", # explicitly allow both kebab case and snake case - validation_alias=AliasChoices("i", "input_dir", "input-dir", "input_dir"), - ) - destination: str = Field( - default="local_fs", - description=f"Destination configuration to use for data output. Choices: {VALID_DESTINATIONS}", - validation_alias=AliasChoices("d", "destination"), + validation_alias=AliasChoices(*[alias.strip("-") for alias in ARG_ALIASES["input_dir"]]), ) - output: str | None = Field( - default=None, + output: str = Field( + default=DEFAULT_CTS_SETTINGS["output"], description="Location to save imported data to, if different from the default supplied by the destination config", - validation_alias=AliasChoices("o", "output"), + validation_alias=AliasChoices(*[alias.strip("-") for alias in ARG_ALIASES["output"]]), + ) + use_destination: str = Field( + default=DEFAULT_CTS_SETTINGS["use_destination"], + description=f"DLT destination configuration to use for data output. Choices: {VALID_DESTINATIONS}", + validation_alias=AliasChoices(*[alias.strip("-") for alias in ARG_ALIASES["use_destination"]]), + ) + use_output_dir_for_pipeline_metadata: bool = Field( + default=DEFAULT_CTS_SETTINGS["use_output_dir_for_pipeline_metadata"], + description="If true, use the output directory for pipeline metadata.", + validation_alias=AliasChoices( + *[alias.strip("-") for alias in ARG_ALIASES["use_output_dir_for_pipeline_metadata"]] + ), ) + # this should really just be _Accessor but leaving it as-is for ease of testing + dlt_config: CliSuppress[dlt.common.configuration.accessors._Accessor | dict[str, Any]] = Field( + description="DLT configuration for the pipeline.", + ) + + @model_validator(mode="after") + def reconcile_with_dlt_config(self) -> Self: + """Update dlt.config based on the current state of the settings.""" + # validate destination + all_destinations = self.dlt_config.get("destination") or {} # type: ignore[reportArgumentType] + if not all_destinations: + err_msg = "No valid destinations found in dlt configuration." + raise ValueError(err_msg) - @field_validator("destination") + if self.use_destination not in all_destinations: + err_msg = f"use_destination must be one of {sorted(all_destinations)}, got '{self.use_destination}'" + raise ValueError(err_msg) + + if not self.output: + if not self.dlt_config.get(f"destination.{self.use_destination}.bucket_url"): # type: ignore[reportArgumentType] + err_msg = f"No bucket_url specified for destination {self.use_destination}" + raise ValueError(err_msg) + + self.output = self.dlt_config[f"destination.{self.use_destination}.bucket_url"] + + return self + + @field_validator("dlt_config", mode="before") @classmethod - def validate_destination(cls, v: str) -> str: - """Validate the destination against valid choices. - - :param v: destination specified - :type v: str - :raises ValueError: if the destination is not valid - :return: valid destination - :rtype: str - """ - if v not in VALID_DESTINATIONS: - err_msg = f"destination must be one of {VALID_DESTINATIONS}, got '{v}'" + def validate_dlt_config(cls, dlt_config: Any) -> Any: + """Perform some rudimentary validation on the incoming dlt config.""" + if dlt_config is None: + err_msg = "dlt_config must be defined" raise ValueError(err_msg) - return v + + return dlt_config + + @field_validator("input_dir", "output", mode="after") + @classmethod + def validate_dir_path(cls, value: str) -> str: + """Remove any trailing slashes from directory paths.""" + if value == "/": + return value + return value.rstrip("/") + + @computed_field + @property + def raw_data_dir(self) -> str: + """Directory in which to save the raw data files that are downloaded. + + If not set, defaults to a 'raw_data' directory within the output directory after reconciling with dlt config. + """ + return str(Path(self.output or "") / "raw_data") + + @computed_field + @property + def pipeline_dir(self) -> str | None: + """Custom directory to save pipeline metadata to. + + If use_output_dir_for_pipeline_metadata is true, this defaults to a `.dlt_conf` directory within the output directory. + """ + if self.use_output_dir_for_pipeline_metadata: + return str(Path(self.output or "") / ".dlt_conf") + return None -class BatchedFileInputSettings(CtsDefaultSettings): +class BatchedFileInputSettings(CtsSettings): """Settings object for an importer that deals with batches of files.""" start_at: int = Field( - default=0, + default=DEFAULT_BATCH_FILE_SETTINGS["start_at"], description="File to start import at", - validation_alias=AliasChoices("s", "start", "start-at", "start_at"), + validation_alias=AliasChoices(*[alias.strip("-") for alias in ARG_ALIASES["start_at"]]), ) diff --git a/src/cdm_data_loaders/pipelines/ncbi_rest_api.py b/src/cdm_data_loaders/pipelines/ncbi_rest_api.py index a9b00f8d..f41d0acf 100644 --- a/src/cdm_data_loaders/pipelines/ncbi_rest_api.py +++ b/src/cdm_data_loaders/pipelines/ncbi_rest_api.py @@ -17,17 +17,15 @@ from dlt.sources.helpers.rest_client.paginators import ( JSONResponseCursorPaginator, ) -from pydantic import AliasChoices, Field, model_validator -from pydantic_settings import CliSuppress, SettingsConfigDict +from pydantic import AliasChoices, Field +from pydantic_settings import SettingsConfigDict from requests.exceptions import HTTPError from cdm_data_loaders.pipelines.core import ( run_cli, run_pipeline, ) -from cdm_data_loaders.pipelines.cts_defaults import ( - BatchedFileInputSettings, -) +from cdm_data_loaders.pipelines.cts_defaults import DEFAULT_SETTINGS_CONFIG_DICT, CtsSettings from cdm_data_loaders.utils.file_system import BatchCursor DATASET_NAME = "ncbi_rest_api" @@ -41,64 +39,28 @@ ANNOTATION = "annotation" ERROR = "error" -dlt_logger = logging.getLogger("dlt") +logger = logging.getLogger("dlt") REST_CLIENT_HOOKS = {} +ARG_ALIAS_BATCH_SIZE = ["-b", "--batch-size", "--batch_size"] + -class Settings(BatchedFileInputSettings): +class NcbiSettings(CtsSettings): """Configuration for running the NCBI REST API import pipeline.""" - model_config = SettingsConfigDict( - cli_parse_args=True, - cli_prog_name="ncbi_rest_api", - cli_exit_on_error=False, - cli_ignore_unknown_args=True, - ) + model_config = SettingsConfigDict(**DEFAULT_SETTINGS_CONFIG_DICT, cli_prog_name="ncbi_rest_api") batch_size: int = Field( default=MAX_RESULTS_PER_PAGE, description="Number of IDs to send in each request to the NCBI REST API.", - validation_alias=AliasChoices("b", "batch-size", "batch_size"), + validation_alias=AliasChoices(*[alias.strip("-") for alias in ARG_ALIAS_BATCH_SIZE]), ge=1, le=MAX_RESULTS_PER_PAGE, ) - pipeline_dir: CliSuppress[Path | None] = Field( - default=None, description="Custom directory to save pipeline metadata to." - ) - - use_output_dir_for_pipeline_metadata: bool = Field( - default=False, - description="If true, use the output directory for pipeline metadata.", - validation_alias=AliasChoices("p", "pipeline-dir", "pipeline_dir", "use_output_dir_for_pipeline_metadata"), - ) - - dev_mode: bool = Field( - default=False, - description="Whether to run the pipeline in dev mode, which saves raw API responses to disk and disables compression for easier debugging.", - validation_alias=AliasChoices("dev", "dev_mode", "dev-mode"), - ) - @model_validator(mode="after") - def set_output_dir(self) -> "Settings": - """Set a default for the output directory if not set.""" - if self.output is None: - self.output = dlt.config[f"destination.{self.destination}.bucket_url"] - else: - dlt.config[f"destination.{self.destination}.bucket_url"] = self.output - return self - - @model_validator(mode="after") - def set_pipeline_dir_default(self) -> "Settings": - """Set a default for the pipeline directory if not set.""" - if self.use_output_dir_for_pipeline_metadata: - p_dir = self.output - self.pipeline_dir = Path(p_dir) / ".dlt_conf" # type: ignore[reportArgumentType] - return self - - -def generate_file_path_name_from_url(config: Settings, url_string: str) -> Path: +def generate_file_path_name_from_url(settings: NcbiSettings, url_string: str) -> Path: """Given an NCBI URL, generate a save directory and file name for the raw HTTP responses. :param url_string: the URL @@ -106,7 +68,7 @@ def generate_file_path_name_from_url(config: Settings, url_string: str) -> Path: :return: path for the save dir :rtype: Path """ - raw_data_dir = Path(config.output) / "raw_responses" # type: ignore[reportArgumentType] + raw_data_dir = Path(settings.raw_data_dir) / "api_responses" # type: ignore[reportArgumentType] url = urlparse(url_string) # retrieve the page token page_token = "".join(parse_qs(url.query).get("page_token", [])) @@ -123,7 +85,7 @@ def generate_file_path_name_from_url(config: Settings, url_string: str) -> Path: return save_dir / file_name -def save_raw_response(config: Settings, response: Response, *_: Any, **__: Any) -> Response: # noqa: ANN401 +def save_raw_response(settings: NcbiSettings, response: Response, *_: Any, **__: Any) -> Response: # noqa: ANN401 """Save the response content to disk. :param response: HTTP Response object @@ -131,7 +93,7 @@ def save_raw_response(config: Settings, response: Response, *_: Any, **__: Any) :return: the response :rtype: Response """ - file_path = generate_file_path_name_from_url(config, response.url) + file_path = generate_file_path_name_from_url(settings, response.url) file_path.write_bytes(response.content) return response @@ -228,7 +190,7 @@ def get_dataset_reports(assembly_id_list: list[str]) -> dict[str, None | dict[st if not assembly_id_list: return {} - dlt_logger.info("fetching dataset reports for:\n%s", ", ".join(sorted(assembly_id_list))) + logger.info("fetching dataset reports for:\n%s", ", ".join(sorted(assembly_id_list))) assembly_dataset_reports = [] for page in ncbi_genome_client.paginate( @@ -249,7 +211,7 @@ def get_dataset_reports(assembly_id_list: list[str]) -> dict[str, None | dict[st def get_annotation_report(assembly_id: str) -> list[dict[str, Any]] | None: """Fetch the annotation report for an assembly from the NCBI datasets REST API.""" - dlt_logger.info("fetching annotation report for %s", assembly_id) + logger.info("fetching annotation report for %s", assembly_id) page_data = [] for page in ncbi_genome_client.paginate( @@ -265,27 +227,7 @@ def get_annotation_report(assembly_id: str) -> list[dict[str, Any]] | None: return page_data or None -@dlt.resource(name="assembly_list") -def assembly_list(config: Settings) -> Generator[list[str], Any, Any]: - """List of assemblies to fetch.""" - batcher = BatchCursor(config.input_dir, batch_size=1) - while files := batcher.get_batch(): - for file_path in files: - with file_path.open() as f: - while next_chunk := list(islice(f, config.batch_size)): - yield [line.strip() for line in next_chunk if line.strip()] - - -@dlt.transformer(name="assembly_reports", data_from=assembly_list, max_table_nesting=0) -def assembly_reports( - assembly_id_list: list[str], -) -> Generator[dict[str, dict[str, dict[str, Any]] | list[dict[str, Any]]], Any]: - """Fetch reports for a list of assemblies from the NCBI datasets REST API.""" - yield get_assembly_reports(assembly_id_list) - - -@dlt.transformer(name="assembly_report_parser", data_from=assembly_reports, max_table_nesting=0) -def assembly_report_parser( +def assemble_assembly_reports( assembly_reports: dict[str, dict[str, Any]], ) -> Generator[DataItemWithMeta, Any]: """Parse and export assembly data from the REST API. @@ -302,48 +244,75 @@ def assembly_report_parser( annotation_reports: dict[str, list[dict[str, Any]]] = assembly_reports.get(ANNOTATION) # type: ignore[reportAssignmentType] error_reports: list[dict[str, Any]] = assembly_reports.get(ERROR) # type: ignore[reportAssignmentType] - if error_reports: - yield dlt.mark.with_table_name(error_reports, "ncbi_import_error") - # yield the raw data to save as tables - yield dlt.mark.with_table_name( - [{"assembly_id": assembly_id, **(report or {})} for assembly_id, report in dataset_reports.items()], - f"{DATASET}_report", - ) + # every assembly_id in dataset_reports should have a row in the dataset_report table + # even if the value is None due to an error or invalid ID + if dataset_reports: + yield dlt.mark.with_table_name( + [{"assembly_id": assembly_id, **(report or {})} for assembly_id, report in dataset_reports.items()], + f"{DATASET}_report", + ) + + # save the rows from the annotation reports + # only assemblies with annotation reports have rows in the annotation_report table tr_annotation_rows = [ {"assembly_id": aid, **report} for aid, report_list in annotation_reports.items() for report in (report_list or []) ] - # save the rows from the annotation reports - yield dlt.mark.with_table_name(tr_annotation_rows, f"{ANNOTATION}_report") + if tr_annotation_rows: + yield dlt.mark.with_table_name(tr_annotation_rows, f"{ANNOTATION}_report") + + if error_reports: + yield dlt.mark.with_table_name(error_reports, "ncbi_import_error") + + +@dlt.resource(name="assembly_list") +def assembly_list(settings: NcbiSettings) -> Generator[list[str], Any, Any]: + """List of assemblies to fetch.""" + batcher = BatchCursor(settings.input_dir, batch_size=1) + while files := batcher.get_batch(): + for file_path in files: + with file_path.open() as f: + while next_chunk := list(islice(f, settings.batch_size)): + yield [line.strip() for line in next_chunk if line.strip()] + + +@dlt.transformer(name="assembly_reports", data_from=assembly_list, max_table_nesting=0, parallelized=True) +def assembly_reports( + assembly_id_list: list[str], +) -> Generator[dict[str, dict[str, dict[str, Any]] | list[dict[str, Any]]], Any]: + """Fetch reports for a list of assemblies from the NCBI datasets REST API.""" + yield get_assembly_reports(assembly_id_list) + + +@dlt.transformer(name="assembly_report_parser", data_from=assembly_reports, max_table_nesting=0, parallelized=True) +def assembly_report_parser( + assembly_reports: dict[str, dict[str, Any]], +) -> Generator[DataItemWithMeta, Any]: + """Parse and export assembly data from the REST API.""" + return assemble_assembly_reports(assembly_reports) -def run_ncbi_pipeline(config: Settings) -> None: +def run_ncbi_pipeline(settings: NcbiSettings) -> None: """Run the NCBI datasets API pipeline. - :param config: configuration for the pipeline - :type config: Settings + :param settings: configuration for the pipeline + :type settings: NcbiSettings """ - if config.dev_mode: - REST_CLIENT_HOOKS["response"] = [partial(save_raw_response, config)] - # update config according to the value of dev_mode - dlt.config["normalize.data_writer.disable_compression"] = config.dev_mode + if settings.dev_mode: + REST_CLIENT_HOOKS["response"] = [partial(save_raw_response, settings)] - # ensure that assembly_list has the correct config bound before running the pipeline - assembly_list.bind(config) + # ensure that assembly_list has the correct settings bound before running the pipeline + assembly_list.bind(settings) pipeline_kwargs = { "pipeline_name": DATASET_NAME, "dataset_name": DATASET_NAME, - "dev_mode": config.dev_mode, } - # set the output directory for all the pipeline gubbins - if config.use_output_dir_for_pipeline_metadata: - pipeline_kwargs["pipelines_dir"] = config.pipeline_dir run_pipeline( - config=config, + settings=settings, resource=[assembly_report_parser], destination_kwargs={"max_table_nesting": 0}, pipeline_kwargs=pipeline_kwargs, @@ -352,8 +321,8 @@ def run_ncbi_pipeline(config: Settings) -> None: def cli() -> None: - """CLI interface for the UniProt KB importer pipeline.""" - run_cli(Settings, run_ncbi_pipeline) + """CLI interface for the NCBI REST API importer pipeline.""" + run_cli(NcbiSettings, run_ncbi_pipeline) if __name__ == "__main__": diff --git a/src/cdm_data_loaders/pipelines/uniprot_kb.py b/src/cdm_data_loaders/pipelines/uniprot_kb.py index b6d1dc83..a17e5be1 100644 --- a/src/cdm_data_loaders/pipelines/uniprot_kb.py +++ b/src/cdm_data_loaders/pipelines/uniprot_kb.py @@ -13,39 +13,37 @@ run_pipeline, stream_xml_file_resource, ) -from cdm_data_loaders.pipelines.cts_defaults import BatchedFileInputSettings +from cdm_data_loaders.pipelines.cts_defaults import DEFAULT_SETTINGS_CONFIG_DICT, BatchedFileInputSettings APP_NAME = "uniprot_kb_importer" UNIPROT_LOG_INTERVAL = 1000 -class Settings(BatchedFileInputSettings): +class UniProtSettings(BatchedFileInputSettings): """Configuration for running the UniProt KB import pipeline.""" model_config = SettingsConfigDict( - cli_parse_args=True, + **DEFAULT_SETTINGS_CONFIG_DICT, cli_prog_name="uniprot", - cli_exit_on_error=False, - cli_ignore_unknown_args=True, ) @dlt.resource(name="parse_uniprot", parallelized=True) -def parse_uniprot(config: Settings) -> Generator[DataItemWithMeta, Any]: +def parse_uniprot(settings: UniProtSettings) -> Generator[DataItemWithMeta, Any]: """Parse the information from UniProt files, batch by batch.""" yield from stream_xml_file_resource( - config=config, + settings=settings, xml_tag=ENTRY_XML_TAG, parse_fn=parse_uniprot_entry, log_interval=UNIPROT_LOG_INTERVAL, ) -def run_uniprot_pipeline(config: Settings) -> None: +def run_uniprot_pipeline(settings: UniProtSettings) -> None: """Execute the UniProt KB pipeline.""" run_pipeline( - config=config, - resource=parse_uniprot(config), + settings=settings, + resource=parse_uniprot(settings), pipeline_kwargs={ "pipeline_name": "uniprot_kb", "dataset_name": "uniprot_kb", @@ -56,7 +54,7 @@ def run_uniprot_pipeline(config: Settings) -> None: def cli() -> None: """CLI interface for the UniProt KB importer pipeline.""" - run_cli(Settings, run_uniprot_pipeline) + run_cli(UniProtSettings, run_uniprot_pipeline) if __name__ == "__main__": diff --git a/src/cdm_data_loaders/pipelines/uniref.py b/src/cdm_data_loaders/pipelines/uniref.py index 15bba8b3..f4703da5 100644 --- a/src/cdm_data_loaders/pipelines/uniref.py +++ b/src/cdm_data_loaders/pipelines/uniref.py @@ -15,28 +15,28 @@ stream_xml_file_resource, ) from cdm_data_loaders.pipelines.cts_defaults import ( + DEFAULT_SETTINGS_CONFIG_DICT, BatchedFileInputSettings, ) -from cdm_data_loaders.utils.cdm_logger import get_cdm_logger - -logger = get_cdm_logger() APP_NAME = "uniref_importer" UNIREF_LOG_INTERVAL = 10000 -class Settings(BatchedFileInputSettings): +UNIREF_VARIANT_ALIASES = ["-u", "--uniref", "--uniref-variant", "--uniref_variant"] + + +class UnirefSettings(BatchedFileInputSettings): """Configuration for running the UniRef import pipeline.""" model_config = SettingsConfigDict( - cli_parse_args=True, + **DEFAULT_SETTINGS_CONFIG_DICT, cli_prog_name="uniref", - cli_exit_on_error=False, - cli_ignore_unknown_args=True, ) + uniref_variant: str = Field( description=f"Which UniRef variant to import. Choices: {UNIREF_VARIANTS}", - validation_alias=AliasChoices("u", "uniref", "uniref-variant", "uniref_variant"), + validation_alias=AliasChoices(*[alias.strip("-") for alias in UNIREF_VARIANT_ALIASES]), ) @field_validator("uniref_variant") @@ -57,33 +57,33 @@ def validate_uniref_variant(cls, v: str) -> str: @dlt.resource(name="parse_uniref", parallelized=True) -def parse_uniref(config: Settings) -> Generator[DataItemWithMeta, Any]: +def parse_uniref(settings: UnirefSettings) -> Generator[DataItemWithMeta, Any]: """Parse the information from UniRef files, batch by batch. - :param config: config for running the pipeline. - :type config: Settings + :param settings: config for running the pipeline. + :type settings: UnirefSettings """ yield from stream_xml_file_resource( - config=config, + settings=settings, xml_tag=ENTRY_XML_TAG, parse_fn=lambda entry, timestamp, file_path: parse_uniref_entry( - entry=entry, timestamp=timestamp, file_path=file_path, uniref_variant=f"UniRef {config.uniref_variant}" + entry=entry, timestamp=timestamp, file_path=file_path, uniref_variant=f"UniRef {settings.uniref_variant}" ), log_interval=UNIREF_LOG_INTERVAL, ) -def run_uniref_pipeline(config: Settings) -> None: +def run_uniref_pipeline(settings: UnirefSettings) -> None: """Execute the Uniref pipeline. - :param config: config for running the pipeline. - :type config: Settings + :param settings: config for running the pipeline. + :type settings: UnirefSettings """ run_pipeline( - config=config, - resource=parse_uniref(config), + settings=settings, + resource=parse_uniref(settings), pipeline_kwargs={ - "pipeline_name": f"uniref_{config.uniref_variant}", + "pipeline_name": f"uniref_{settings.uniref_variant}", "dataset_name": "uniprot_kb", }, pipeline_run_kwargs={"table_format": "delta"}, @@ -92,7 +92,7 @@ def run_uniref_pipeline(config: Settings) -> None: def cli() -> None: """CLI interface for the UniRef importer pipeline.""" - run_cli(Settings, run_uniref_pipeline) + run_cli(UnirefSettings, run_uniref_pipeline) if __name__ == "__main__": diff --git a/src/cdm_data_loaders/readers/dsv.py b/src/cdm_data_loaders/readers/dsv.py index 04712bbd..bd74280a 100644 --- a/src/cdm_data_loaders/readers/dsv.py +++ b/src/cdm_data_loaders/readers/dsv.py @@ -6,7 +6,7 @@ from pyspark.sql.types import StringType, StructField, StructType from cdm_data_loaders.core.constants import INVALID_DATA_FIELD_NAME -from cdm_data_loaders.utils.cdm_logger import get_cdm_logger, log_and_die +from cdm_data_loaders.utils.cdm_logger import get_cdm_logger # mapping of delimiters to format names (for logging) # spark defaults to separating on commas if nothing is specified @@ -57,7 +57,9 @@ def read( :rtype: DataFrame """ if not isinstance(schema_fields, list) or not all(isinstance(field, StructField) for field in schema_fields): - log_and_die("schema_fields must be specified as a list of StructFields", TypeError) + err_msg = "schema_fields must be specified as a list of StructFields" + logger.error(err_msg) + raise TypeError(err_msg) if not options: options = {} @@ -69,8 +71,9 @@ def read( } if dsv_options["mode"] != PERMISSIVE: - msg = "The only permitted read mode is PERMISSIVE." - log_and_die(msg, ValueError) + err_msg = "The only permitted read mode is PERMISSIVE." + logger.error(err_msg) + raise ValueError(err_msg) format_name = get_format_name(options.get("delimiter", options.get("sep"))) diff --git a/src/cdm_data_loaders/utils/download/core.py b/src/cdm_data_loaders/utils/download/core.py index 1a189f4b..cf788203 100644 --- a/src/cdm_data_loaders/utils/download/core.py +++ b/src/cdm_data_loaders/utils/download/core.py @@ -8,7 +8,7 @@ import httpx -from cdm_data_loaders.utils.cdm_logger import get_cdm_logger, log_and_die +from cdm_data_loaders.utils.cdm_logger import get_cdm_logger logger: logging.Logger = get_cdm_logger() @@ -60,7 +60,9 @@ def validate_args( # shake hashing algorithms require a length for the hexdigest => too much faff, error out if checksum_fn not in hashlib.algorithms_available or checksum_fn.startswith("shake"): - log_and_die(f"Hashing algorithm {checksum_fn} not supported.", ValueError) + err_msg = f"Hashing algorithm {checksum_fn} not supported." + logger.error(err_msg) + raise ValueError(err_msg) destination = Path(destination) destination.parent.mkdir(parents=True, exist_ok=True) diff --git a/tests/cassettes/get_assembly_reports.yaml b/tests/cassettes/get_assembly_reports.yaml deleted file mode 100644 index a90cd811..00000000 --- a/tests/cassettes/get_assembly_reports.yaml +++ /dev/null @@ -1,5276 +0,0 @@ -interactions: -- request: - body: null - headers: - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - User-Agent: - - dlt/1.22.2 - accept: - - application/json - method: GET - uri: https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1%2CGCF_000003135.1%2Cinvalid_id/dataset_report?page_size=1000 - response: - body: - string: '{"reports":[{"accession":"GCF_000007725.1","current_accession":"GCF_000007725.1","paired_accession":"GCA_000007725.1","source_database":"SOURCE_DATABASE_REFSEQ","organism":{"tax_id":224915,"organism_name":"Buchnera - aphidicola str. Bp (Baizongia pistaciae)","infraspecific_names":{"strain":"Bp - (Baizongia pistaciae)"}},"assembly_info":{"assembly_level":"Complete Genome","assembly_status":"current","paired_assembly":{"accession":"GCA_000007725.1","status":"current","annotation_name":"Annotation - submitted by Valencia Univ."},"assembly_name":"ASM772v1","assembly_type":"haploid","bioproject_lineage":[{"bioprojects":[{"accession":"PRJNA256","title":"Primary - endosymbiont of the Baizongia pistaciae aphid"}]}],"bioproject_accession":"PRJNA256","release_date":"2003-01-27","submitter":"Valencia - Univ.","biosample":{"accession":"SAMN02604289","last_updated":"2015-05-18T13:21:09.793","publication_date":"2014-01-30T15:13:22.847","submission_date":"2014-01-30T15:13:22.847","sample_ids":[{"label":"Sample - name","value":"AE016826"}],"description":{"title":"Sample from Buchnera aphidicola - str. Bp (Baizongia pistaciae)","organism":{"tax_id":224915,"organism_name":"Buchnera - aphidicola str. Bp (Baizongia pistaciae)"}},"owner":{"name":"NCBI"},"models":["Generic"],"bioprojects":[{"accession":"PRJNA256"}],"package":"Generic.1.0","attributes":[{"name":"strain","value":"Bp - (Baizongia pistaciae)"},{"name":"host","value":"Baizongia pistaciae"}],"status":{"status":"live","when":"2014-01-30T15:13:22.847"},"host":"Baizongia - pistaciae","strain":"Bp (Baizongia pistaciae)"}},"assembly_stats":{"total_number_of_chromosomes":2,"total_sequence_length":"618379","total_ungapped_length":"618379","number_of_contigs":2,"contig_n50":615980,"contig_l50":1,"number_of_scaffolds":2,"scaffold_n50":615980,"scaffold_l50":1,"number_of_component_sequences":2,"atgc_count":"618379","gc_count":"156707","gc_percent":25.5},"annotation_info":{"name":"GCF_000007725.1-RS_2025_02_20","provider":"NCBI - RefSeq","release_date":"2025-02-20","stats":{"gene_counts":{"total":561,"protein_coding":517,"non_coding":38,"pseudogene":6}},"method":"Best-placed - reference protein set; GeneMarkS-2+","pipeline":"NCBI Prokaryotic Genome Annotation - Pipeline (PGAP)","software_version":"6.9"},"checkm_info":{"checkm_marker_set":"Buchnera - aphidicola","checkm_species_tax_id":9,"checkm_marker_set_rank":"species","checkm_version":"v1.2.3","completeness":99.67,"completeness_percentile":95.6835},"average_nucleotide_identity":{"taxonomy_check_status":"Inconclusive","match_status":"low_coverage","submitted_organism":"Buchnera - aphidicola str. Bp (Baizongia pistaciae)","submitted_species":"Buchnera aphidicola","category":"category_na","submitted_ani_match":{"assembly":"GCA_000007365.1","organism_name":"Buchnera - aphidicola str. 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Information about PGAP can be found here: https://www.ncbi.nlm.nih.gov/genome/annotation_prok/\nThis - sequence is generated as a part of the Human Microbiome Project (HMP), funded - by the National Institutes of Health (NIH), National Human Genome Research - Institute (NHGRI) Large-Scale Sequencing Research Network and the National - Institute of Allergy and Infectious Diseases (NIAID) Microbial Genome Sequencing - Centers Program. The mission of the HMP is to generate resources to enable - the characterization of the human microbiota, the microbial communities living - within human bodies, and analyze the role of these organisms in human health - and disease. See http://www.hmpdacc.org/ for more information.\nThe sequenced - strain was obtained from ATCC. The genomic DNA was prepared from a single - bacterial isolate. 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+AllTheBacteria/MLST/ATB_Virulence_Factors gk7ec vfdb_2024db_summary.tsv.xz https://osf.io/download/8mg7w/ 01158578be913513407498c39da5d8b8 44.37 +AllTheBacteria/Metadata h7wzy 0.1/HQ_set_0.1/hq_dataset.accessions.txt.gz https://osf.io/download/3znhb/ 6f001b72101779b5ff6a556f46c9ddab 4.11 +AllTheBacteria/Metadata h7wzy 0.1/HQ_set_0.1/hq_dataset.counts_bar_plot.pdf https://osf.io/download/p5vkt/ a147e807f6a661b6f7f6dc856aa0465c 0.02 +AllTheBacteria/Species_Specific/Bacillus_cereus_group 8ua49 BTyper3_v3.4.0/0.2+inc-rel-2024-08/ATB_0.2+inc-rel-2024-08_Bacillus-cereus-group_BTyper3-v3.4.0_merged.tsv.gz https://osf.io/download/uf7va/ 4f02b2e8016360965b389f1bf5ca1948 0.17 +AllTheBacteria/Species_Specific/Bacillus_cereus_group 8ua49 BTyper3_v3.4.0/0.2+inc-rel-2024-08/ATB_0.2+inc-rel-2024-08_Bacillus-cereus-group_Status_File.tsv.gz https://osf.io/download/yz8p4/ 1c28768c74ea77f5617efab4a1bab09e 0.01 diff --git a/tests/data/atb/filtered_files.tsv b/tests/data/atb/filtered_files.tsv new file mode 100644 index 00000000..6a88c6a8 --- /dev/null +++ b/tests/data/atb/filtered_files.tsv @@ -0,0 +1,25 @@ +project project_id filename url md5 size(MB) +AllTheBacteria/Annotation/Bakta zt57s File_Lists/atb.bakta.incr_release.202408.status.tsv.gz https://osf.io/download/2skzy/ 7da48fce8e310916a072786872f475b1 14.19 +AllTheBacteria/Annotation/Bakta zt57s File_Lists/atb.bakta.r0.2.status.tsv.gz https://osf.io/download/rxfks/ b7255867206dc66f2c26db31921a67a6 53.87 +AllTheBacteria/Annotation/Bakta/Incr_release.202408_Set_1 kdnwp atb.bakta.incr_release.202408.batch.1.tar.xz https://osf.io/download/r84xg/ a3ba0148c435f31b4de3f0b72e01075d 1378.51 +AllTheBacteria/Annotation/Bakta/Incr_release.202408_Set_1 kdnwp atb.bakta.incr_release.202408.batch.10.tar.xz https://osf.io/download/qxye9/ e0724b0a605da7298b802f01145d8b49 388.76 +AllTheBacteria/Annotation/Bakta/Incr_release.202408_Set_2 p4kvy atb.bakta.incr_release.202408.batch.49.tar.xz https://osf.io/download/nyua7/ c8871eab5ee9071b101ba7bbafa7983b 2320.01 +AllTheBacteria/Annotation/Bakta/Incr_release.202408_Set_2 p4kvy atb.bakta.incr_release.202408.batch.50.tar.xz https://osf.io/download/tqrs2/ 887db770a7e176e644a2b413de4b07e5 2169.25 +AllTheBacteria/Annotation/Bakta/Release_0.2_Set_1 tyw72 atb.bakta.r0.2.batch.1.tar.xz https://osf.io/download/vpg3d/ 5e6ccd68f5c6a69a14dafaf599f9377e 293.86 +AllTheBacteria/Annotation/Bakta/Release_0.2_Set_1 tyw72 atb.bakta.r0.2.batch.10.tar.xz https://osf.io/download/gbzev/ 8fab65bbeadc99201a1df83f32b8c779 132.76 +AllTheBacteria/Annotation/Bakta/Release_0.2_Set_9 evurw atb.bakta.r0.2.batch.228.tar.xz https://osf.io/download/679b9dd3bc1fdea8290eb046/ dc061bcc2e1bb9c30887a4dfefb1b6c2 3841.85 +AllTheBacteria/Annotation/Bakta/Release_0.2_Set_9 evurw atb.bakta.r0.2.batch.229.tar.xz https://osf.io/download/679ba14cae64ecefd50eaea0/ db0081059366d08e8c3cd8c19857ef42 3902.73 +AllTheBacteria/Assembly zxfmy File_Lists/file_list.all.20240805.tsv.gz https://osf.io/download/dw3h7/ 5fc5c88a0593785341e466143a97f126 17.04 +AllTheBacteria/Assembly zxfmy File_Lists/file_list.all.202505.tsv.gz https://osf.io/download/69a03f582574717cb3643d62/ 0a9ee0b1efaf42b3ea9e89ce91d2b9e1 22.13 +AllTheBacteria/Assembly/Incremental_release_2024-08 zy7er atb.assembly.incr_release.202408.batch.1.tar.xz https://osf.io/download/bfeqh/ 2e5d42de7f7f047245b4c4b78e4dabaf 61.36 +AllTheBacteria/Assembly/Incremental_release_2024-08 zy7er atb.assembly.incr_release.202408.batch.10.tar.xz https://osf.io/download/66d9a2958e73e77956a3cc98/ b12558bfe26ceb27f24d7afbab84066a 43.54 +AllTheBacteria/Assembly/Incremental_release_2025-05 rzsby atb.assembly.incr_release.202505.batch.1.tar.xz https://osf.io/download/6852bf1bd63d81dd5ceb70f6/ aac4dbdfbe62a14eb49622124f507bcf 34.02 +AllTheBacteria/Assembly/Incremental_release_2025-05 rzsby atb.assembly.incr_release.202505.batch.10.tar.xz https://osf.io/download/6852bf3fe1cea8734945897b/ f471f71beb528e4f97c2433154437e23 17.57 +AllTheBacteria/Assembly/Release_0.2_Set_1 h28c3 atb.assembly.r0.2.batch.1.tar.xz https://osf.io/download/27tz5/ 65973bf642ddd13bfd4ffffc37b72efb 32.67 +AllTheBacteria/Assembly/Release_0.2_Set_1 h28c3 atb.assembly.r0.2.batch.10.tar.xz https://osf.io/download/z3vq5/ 01d5bd50ae5157bcc7b9d7be40bd66ec 16.0 +AllTheBacteria/Assembly/Release_0.2_Set_2 d9tzp atb.assembly.r0.2.batch.300.tar.xz https://osf.io/download/jubs7/ 47fca962dc897290e10b8c7d097b56c4 17.62 +AllTheBacteria/Assembly/Release_0.2_Set_2 d9tzp atb.assembly.r0.2.batch.301.tar.xz https://osf.io/download/6673fe7b2026e9027723dac6/ 76bf05d9b0b6b01a132e07b67db113b1 7.1 +AllTheBacteria/Assembly/Reproducibility j72bc Assembly_pipeline/GCA_009914755.split_ref.tar.xz https://osf.io/download/96s2h/ 61e0eb7b2edb534a0e347c92a160672f 724.81 +AllTheBacteria/Assembly/Reproducibility j72bc Assembly_pipeline/gtdb_r214.syldb.file2species.map https://osf.io/download/3427r/ a0e52ffc0f6f484f927c2aba6100b1a7 17.51 +AllTheBacteria/Metadata h7wzy 0.1/HQ_set_0.1/hq_dataset.accessions.txt.gz https://osf.io/download/3znhb/ 6f001b72101779b5ff6a556f46c9ddab 4.11 +AllTheBacteria/Metadata h7wzy 0.1/HQ_set_0.1/hq_dataset.counts_bar_plot.pdf https://osf.io/download/p5vkt/ a147e807f6a661b6f7f6dc856aa0465c 0.02 diff --git a/tests/data/atb/invalid_atb_files.tsv b/tests/data/atb/invalid_atb_files.tsv new file mode 100644 index 00000000..1be8252b --- /dev/null +++ b/tests/data/atb/invalid_atb_files.tsv @@ -0,0 +1,19 @@ + + + + + OSF + + + + + + + + + + + + diff --git a/tests/pipelines/conftest.py b/tests/pipelines/conftest.py index 52c78b53..4fefeae0 100644 --- a/tests/pipelines/conftest.py +++ b/tests/pipelines/conftest.py @@ -1,14 +1,116 @@ """Shared fixtures for pipelines tests.""" -from collections.abc import Generator +import logging from itertools import batched from pathlib import Path from typing import Any -from unittest.mock import MagicMock, patch +from unittest.mock import MagicMock +import dlt +import dlt.common.configuration.accessors import pytest +from frozendict import frozendict from cdm_data_loaders.pipelines import core +from cdm_data_loaders.pipelines.all_the_bacteria import AtbSettings +from cdm_data_loaders.pipelines.cts_defaults import ( + DEFAULT_CTS_SETTINGS, + DEFAULT_START_AT, + VALID_DESTINATIONS, + BatchedFileInputSettings, + CtsSettings, +) +from cdm_data_loaders.pipelines.ncbi_rest_api import NcbiSettings +from cdm_data_loaders.pipelines.uniprot_kb import UniProtSettings +from cdm_data_loaders.pipelines.uniref import UnirefSettings + +CASSETTES_DIR = "tests/cassettes" + +START_AT_VALUE = 50 +START_AT_STRING = "50" + +TEST_DLT_CONFIG = frozendict( + { + "destination.local_fs.bucket_url": "/output_dir", + "destination.local_fs.destination_type": "filesystem", + "destination.s3.bucket_url": "s3://some/s3/bucket", + "destination.s3.destination_type": "filesystem", + "normalize.data_writer.disable_compression": False, + } +) + + +DESTINATION_OUTPUT = TEST_DLT_CONFIG[f"destination.{DEFAULT_CTS_SETTINGS['use_destination']}.bucket_url"] + +DEFAULT_CTS_SETTINGS_RECONCILED = frozendict( + { + **DEFAULT_CTS_SETTINGS, + "output": DESTINATION_OUTPUT, + "raw_data_dir": f"{DESTINATION_OUTPUT}/raw_data", + "pipeline_dir": None, + } +) + +DEFAULT_BATCH_FILE_SETTINGS_RECONCILED = frozendict({**DEFAULT_CTS_SETTINGS_RECONCILED, "start_at": DEFAULT_START_AT}) + +TEST_CTS_SETTINGS = frozendict( + { + "dev_mode": "false", + "input_dir": "/dir/path", + "output": "/some/dir", + "use_destination": VALID_DESTINATIONS[1], + "use_output_dir_for_pipeline_metadata": "true", + } +) + +TEST_CTS_SETTINGS_EXPECTED = frozendict( + { + **TEST_CTS_SETTINGS, + "dev_mode": False, + "use_output_dir_for_pipeline_metadata": True, + } +) + +TEST_CTS_SETTINGS_RECONCILED = frozendict( + {**TEST_CTS_SETTINGS_EXPECTED, "pipeline_dir": "/some/dir/.dlt_conf", "raw_data_dir": "/some/dir/raw_data"} +) + +TEST_BATCH_FILE_SETTINGS = frozendict( + **TEST_CTS_SETTINGS, + start_at=START_AT_STRING, +) + +TEST_BATCH_FILE_SETTINGS_EXPECTED = frozendict( + **TEST_CTS_SETTINGS_EXPECTED, + start_at=START_AT_VALUE, +) +TEST_BATCH_FILE_SETTINGS_RECONCILED = frozendict( + {**TEST_BATCH_FILE_SETTINGS_EXPECTED, "pipeline_dir": "/some/dir/.dlt_conf", "raw_data_dir": "/some/dir/raw_data"} +) + + +DEFAULT_VCR_CONFIG = frozendict( + { + "cassette_library_dir": CASSETTES_DIR, + "record_mode": "once", # record on first run, replay thereafter + "serializer": "yaml", + "match_on": ["method", "scheme", "host", "path", "query"], + # strip the NCBI API key from cassettes + "filter_query_parameters": ["api_key"], + "filter_headers": ["api_key"], + "decode_compressed_response": True, + "allow_playback_repeats": True, + } +) + + +@pytest.fixture(autouse=True) +def logging_setup(caplog: pytest.LogCaptureFixture) -> None: + """Ensure that the dlt logger propagates logs to the root logger, is set to INFO, and that any messages are cleared.""" + logger = logging.getLogger("dlt") + logger.propagate = True + caplog.set_level(logging.INFO) + caplog.clear() def make_batcher(files: list[Path], batch_size: int = 5) -> MagicMock: @@ -19,6 +121,58 @@ def make_batcher(files: list[Path], batch_size: int = 5) -> MagicMock: return mock_batcher +def _generate_dlt_config() -> dict[str, Any]: + """Return a fresh DLT config dict (same shape as the conftest fixture).""" + return { + "destination": {"local_fs": {"bucket_url": "/output_dir"}, "s3": {"bucket_url": "s3://my-bucket/output"}}, + "destination.local_fs.bucket_url": "/output_dir", + "destination.s3.bucket_url": "s3://my-bucket/output", + "normalize.data_writer.disable_compression": False, + } + + +def make_settings( + settings_cls: type[CtsSettings], + dlt_config: dict[str, Any] | None = None, + **kwargs: str | int | Path | dict[str, Any] | dlt.common.configuration.accessors._ConfigAccessor, +) -> CtsSettings | BatchedFileInputSettings | NcbiSettings | AtbSettings: + """Generate a validated Settings object.""" + return settings_cls(**{"dlt_config": dlt_config, **kwargs}) + + +def make_settings_autofill_config( + settings_cls: type[CtsSettings], + **kwargs: str | int | Path | dict[str, Any] | bool | dlt.common.configuration.accessors._ConfigAccessor | None, +) -> CtsSettings | BatchedFileInputSettings | NcbiSettings | AtbSettings | UniProtSettings | UnirefSettings: + """Generate a validated Settings object, supplying the dlt_config if necessary.""" + if not kwargs: + kwargs = {} + if "dlt_config" not in kwargs: + kwargs["dlt_config"] = _generate_dlt_config() + return settings_cls.model_validate(kwargs) + + +def check_settings( + settings_object: CtsSettings, + expected: dict[str, Any] | frozendict, +) -> None: + """Check that the settings object has the expected values.""" + assert settings_object.dlt_config is not None + assert settings_object.model_dump(exclude={"dlt_config"}) == expected + + # make sure we have both raw_data_dir and pipeline_dir + assert "raw_data_dir" in expected + assert "pipeline_dir" in expected + for attr, value in expected.items(): + assert getattr(settings_object, attr) == value + + +@pytest.fixture +def dlt_config() -> dict[str, Any]: + """DLT config for testing purposes.""" + return _generate_dlt_config() + + @pytest.fixture def fake_files() -> list[Path]: """List of five files, used for testing.""" @@ -26,34 +180,33 @@ def fake_files() -> list[Path]: @pytest.fixture -def mock_dlt(monkeypatch: pytest.MonkeyPatch) -> MagicMock: +def mock_dlt(monkeypatch: pytest.MonkeyPatch, dlt_config: dict[str, Any]) -> MagicMock: """Patch dlt in core, wiring pipeline.return_value to a fresh MagicMock.""" dlt_mock = MagicMock() # patch the slack_incoming_hook config value so that tests do not send slack notifications - mock_slack_hook = MagicMock(slack_incoming_hook=None) - dlt_mock.pipeline.return_value = MagicMock(runtime_config=mock_slack_hook) + dlt_mock.pipeline.return_value.runtime_config.slack_incoming_hook = None + # patch the config in case dlt is used when initialising a settings object + dlt_mock.config = dlt_config monkeypatch.setattr(core, "dlt", dlt_mock) - return dlt_mock @pytest.fixture -def patched_io() -> Generator[tuple[MagicMock, MagicMock], Any]: - """Patch BatchCursor and stream_xml_file in core, yielding (mock_batcher_cls, mock_stream).""" - with ( - patch("cdm_data_loaders.pipelines.core.BatchCursor") as mock_batcher_cls, - patch("cdm_data_loaders.pipelines.core.stream_xml_file") as mock_stream, - ): - mock_batcher_cls.return_value = make_batcher([]) - yield mock_batcher_cls, mock_stream +def patched_io(monkeypatch: pytest.MonkeyPatch) -> tuple[MagicMock, MagicMock]: + """Patch BatchCursor and stream_xml_file inside core; return (mock_batcher_cls, mock_stream).""" + mock_batcher_cls = MagicMock() + mock_stream = MagicMock(return_value=[]) + monkeypatch.setattr(core, "BatchCursor", mock_batcher_cls) + monkeypatch.setattr(core, "stream_xml_file", mock_stream) + return mock_batcher_cls, mock_stream @pytest.fixture -def patched_io_empty_batcher() -> Generator[tuple[MagicMock, MagicMock], Any]: - """Patch BatchCursor to yield no files and stream_xml_file in core, yielding (mock_batcher_cls, mock_stream).""" - with ( - patch("cdm_data_loaders.pipelines.core.BatchCursor") as mock_batcher_cls, - patch("cdm_data_loaders.pipelines.core.stream_xml_file") as mock_stream, - ): - mock_batcher_cls.return_value.get_batch.return_value = [] - yield mock_batcher_cls, mock_stream +def patched_io_empty_batcher(monkeypatch: pytest.MonkeyPatch) -> tuple[MagicMock, MagicMock]: + """Like patched_io but BatchCursor immediately returns an empty batch.""" + mock_batcher_cls = MagicMock() + mock_stream = MagicMock(return_value=[]) + mock_batcher_cls.return_value = make_batcher([]) + monkeypatch.setattr(core, "BatchCursor", mock_batcher_cls) + monkeypatch.setattr(core, "stream_xml_file", mock_stream) + return mock_batcher_cls, mock_stream diff --git a/tests/pipelines/test_all_the_bacteria.py b/tests/pipelines/test_all_the_bacteria.py new file mode 100644 index 00000000..cec1f4e2 --- /dev/null +++ b/tests/pipelines/test_all_the_bacteria.py @@ -0,0 +1,382 @@ +"""Tests for the all_the_bacteria pipeline.""" + +import csv +import logging +from collections.abc import Callable +from pathlib import Path +from typing import Any +from unittest.mock import MagicMock, call, patch + +import pytest +from requests.exceptions import HTTPError + +from cdm_data_loaders.pipelines import all_the_bacteria, core +from cdm_data_loaders.pipelines.all_the_bacteria import ( + DATASET_NAME, + AtbSettings, + cli, + download_atb_index_tsv, + get_file_download_links, + osf_file_downloader, + run_atb_pipeline, +) +from cdm_data_loaders.pipelines.cts_defaults import VALID_DESTINATIONS +from cdm_data_loaders.utils.download.core import NonRetryableDownloadError +from tests.pipelines.conftest import CASSETTES_DIR + + +@pytest.fixture(autouse=True) +def patch_dlt_config(dlt_config: dict[str, Any], monkeypatch: pytest.MonkeyPatch) -> None: + """Monkeypatch the dlt config in all tests.""" + monkeypatch.setattr(core.dlt, "config", dlt_config) + + +@pytest.fixture(scope="module") +def vcr_config() -> dict[str, Any]: + """VCR config for tests that make HTTP requests.""" + return { + "cassette_library_dir": CASSETTES_DIR, + "record_mode": "once", # record on first run, replay thereafter + "serializer": "yaml", + "match_on": ["method", "scheme", "host", "path", "query"], + "decode_compressed_response": True, + "allow_playback_repeats": True, + } + + +@pytest.fixture +def test_settings(tmp_path: Path, dlt_config: dict[str, Any]) -> AtbSettings: + """Generate a fake settings for testing.""" + return AtbSettings(dlt_config=dlt_config, output=str(tmp_path)) + + +def test_cli_calls_run_ncbi_pipeline(monkeypatch: pytest.MonkeyPatch, dlt_config: dict[str, Any]) -> None: + """Ensure that cli() calls run_ncbi_pipeline with the settings.""" + mock_settings_instance = MagicMock() + mock_settings_cls = MagicMock(return_value=mock_settings_instance) + mock_run_atb_pipeline = MagicMock() + + monkeypatch.setattr(all_the_bacteria, "AtbSettings", mock_settings_cls) + monkeypatch.setattr(all_the_bacteria, "run_atb_pipeline", mock_run_atb_pipeline) + + cli() + + mock_settings_cls.assert_called_once_with(dlt_config=dlt_config) + mock_run_atb_pipeline.assert_called_once_with(mock_settings_instance) + + +@pytest.mark.vcr +def test_download_atb_index_tsv_vcr(test_settings: AtbSettings) -> None: + """Ensure that the download_atb_index function fetches the correct file.""" + output_file = download_atb_index_tsv(test_settings) + raw_data_dir = Path(test_settings.raw_data_dir) + assert raw_data_dir.is_dir() + assert output_file.exists() + assert output_file.parent == raw_data_dir + + +@pytest.mark.vcr +def test_download_atb_index_tsv_error_404(test_settings: AtbSettings) -> None: + """Ensure that a 404 response causes an error and the function to die.""" + with pytest.raises(HTTPError, match="404 Client Error"): + download_atb_index_tsv(test_settings) + + +@pytest.mark.vcr +def test_download_atv_index_tsv_error_missing_key(test_settings: AtbSettings) -> None: + """Ensure that the lack of a download link in the response throws an error.""" + with pytest.raises(RuntimeError, match="Could not find download URL in response from "): + download_atb_index_tsv(test_settings) + + +def test_download_atv_index_cannot_create_dir(dlt_config: dict[str, Any]) -> None: + """Ensure that the output raw_data_dir directory can be saved to.""" + with pytest.raises(OSError, match=r"(Read-only file system|Permission denied)"): + download_atb_index_tsv(AtbSettings(dlt_config=dlt_config, output="/path/to/file")) + + +@pytest.mark.vcr +def test_download_atv_index_tsv_error_cannot_download_tsv(test_settings: AtbSettings) -> None: + """Ensure that the lack of a download link in the response throws an error.""" + with pytest.raises(NonRetryableDownloadError, match="Client error: 404 Not Found"): + download_atb_index_tsv(test_settings) + + +def test_get_file_download_links() -> None: + """Ensure that the appropriate files are picked out of the ATB file index TSV file.""" + file_path = Path("tests") / "data" / "atb" / "all_atb_files.tsv" + filtered_files = list(get_file_download_links(file_path)) + # load the expected results + expected = Path("tests") / "data" / "atb" / "filtered_files.tsv" + with expected.open() as fh: + reader = csv.DictReader(fh, delimiter="\t") + expected_files = list(reader) + assert len(filtered_files[0]) > 1 + assert filtered_files[0] == expected_files + + +def test_get_file_download_links_invalid_file(caplog: pytest.LogCaptureFixture) -> None: + """Ensure that the correct fields are present in the ATB TSV file and throw an error if not.""" + file_path = Path("tests") / "data" / "atb" / "invalid_atb_files.tsv" + with pytest.raises(RuntimeError, match="Missing required ATB file index TSV headers"): + list(get_file_download_links(file_path)) + records = caplog.records + assert records[-1].levelno == logging.ERROR + assert records[-1].message.startswith( + "Missing required ATB file index TSV headers: ['filename', 'md5', 'project', 'url']" + ) + assert records[-2].levelno == logging.WARNING + assert records[-2].message.startswith("ATB file index TSV headers have changed.") + + +def test_get_file_download_links_empty_file(caplog: pytest.LogCaptureFixture, tmp_path: Path) -> None: + """Ensure that an empty file causes a runtime error.""" + file_path = tmp_path / "fake_file.tsv" + file_path.touch() + with pytest.raises(RuntimeError, match=f"No valid TSV data found in {file_path!s}"): + list(get_file_download_links(file_path)) + records = caplog.records + assert records[-1].levelno == logging.ERROR + assert records[-1].message == f"No valid TSV data found in {file_path!s}" + + +def test_get_file_download_links_no_file() -> None: + """Ensure an error is thrown if the file cannot be found.""" + file_path = Path("/path") / "to" / "file" + with pytest.raises(FileNotFoundError, match="No such file or directory"): + list(get_file_download_links(file_path)) + + +# osf_file_downloader tests +@pytest.mark.parametrize( + ("atb_file_list", "expected_calls", "expected_paths"), + [ + ( + [ + {"filename": "file1.txt", "url": "https://osf.io/file1", "md5": "md5sum1"}, + {"filename": "file2.txt", "url": "https://osf.io/file2", "md5": "md5sum2"}, + ], + [ + ( + "https://osf.io/file1", + "file1.txt", + "md5sum1", + ), + ( + "https://osf.io/file2", + "file2.txt", + "md5sum2", + ), + ], + ["file1.txt", "file2.txt"], + ), + ], +) +def test_osf_file_downloader_success( + test_settings: AtbSettings, + atb_file_list: list[dict[str, Any]], + expected_calls: list[tuple[str, str, str]], + expected_paths: list[str], + caplog: pytest.LogCaptureFixture, +) -> None: + """Ensure that the osf_file_downloader function correctly calls the download client for each file.""" + mock_download_client = MagicMock() + mock_logger = MagicMock() + with ( + patch("cdm_data_loaders.pipelines.all_the_bacteria.FileDownloader", return_value=mock_download_client), + patch("cdm_data_loaders.pipelines.all_the_bacteria.logger", mock_logger), + ): + output = list(osf_file_downloader(test_settings, atb_file_list)) + + for item, filename in zip(atb_file_list, expected_paths, strict=True): + assert item["path"] == str(Path(test_settings.raw_data_dir) / filename) + + assert output[0].data == [ + {**f, "path": str(Path(test_settings.raw_data_dir) / f["filename"])} for f in atb_file_list + ] + + assert mock_download_client.download.call_count == len(expected_calls) + + for url, filename, checksum in expected_calls: + mock_download_client.download.assert_any_call( + url, + Path(test_settings.raw_data_dir) / filename, + expected_checksum=checksum, + checksum_fn="md5", + ) + + mock_logger.assert_not_called() + # no logs should be emitted for successful downloads + assert caplog.records == [] + + +@pytest.mark.parametrize( + ("atb_file_list", "download_side_effect", "expected_exceptions", "expected_paths"), + [ + ( + [ + {"filename": "good_file.txt", "url": "https://osf.io/good", "md5": "md5sum1"}, + {"filename": "great_file.txt", "url": "https://osf.io/great", "md5": "md5sum2"}, + {"filename": "bad_file.txt", "url": "https://osf.io/bad", "md5": "badmd5"}, + ], + lambda url, _save_path, **_kwargs: ( + (_ for _ in ()).throw(RuntimeError("download failed")) if url == "https://osf.io/bad" else None + ), + ["Could not download file from https://osf.io/bad: download failed"], + {"good_file.txt": True, "great_file.txt": True, "bad_file.txt": False}, + ), + ( + [ + {"filename": "bad_file.txt", "url": "https://osf.io/bad", "md5": "badmd5"}, + {"filename": "even_worse.txt", "url": "https://osf.io/even_worse", "md5": "badmd5"}, + ], + lambda _url, _save_path, **_kwargs: (_ for _ in ()).throw(Exception("Boom!")), + [ + "Could not download file from https://osf.io/bad: Boom!", + "Could not download file from https://osf.io/even_worse: Boom!", + ], + {"bad_file.txt": False, "even_worse.txt": False}, + ), + ], +) +def test_osf_file_downloader_error_handling( + test_settings: AtbSettings, + atb_file_list: list[dict[str, Any]], + download_side_effect: Callable, + expected_exceptions: list[str], + expected_paths: dict[str, bool], +) -> None: + """Ensure that errors during file download are handled correctly.""" + mock_download_client = MagicMock() + mock_download_client.download.side_effect = download_side_effect + mock_logger = MagicMock() + + with ( + patch("cdm_data_loaders.pipelines.all_the_bacteria.FileDownloader", return_value=mock_download_client), + patch("cdm_data_loaders.pipelines.all_the_bacteria.logger", mock_logger), + ): + list(osf_file_downloader(test_settings, atb_file_list)) + + for item in atb_file_list: + if item["filename"] in expected_paths and expected_paths[item["filename"]]: + assert item["path"] == str(Path(test_settings.raw_data_dir) / item["filename"]) + else: + assert "path" not in item + + # FIXME: why is caplog not working here? Ideally this should use caplog instead of a mock logger. + exception_call_args = [call.args[0] for call in mock_logger.exception.call_args_list] + assert exception_call_args == expected_exceptions + + +def test_run_atb_pipeline( + test_settings: AtbSettings, + monkeypatch: pytest.MonkeyPatch, +) -> None: + """run_atb_pipeline binds settings and delegates to run_pipeline with correct args.""" + mock_atb_file_list = MagicMock() + mock_file_downloader = MagicMock() + mock_run_pipeline = MagicMock() + + monkeypatch.setattr(all_the_bacteria, "atb_file_list", mock_atb_file_list) + monkeypatch.setattr(all_the_bacteria, "file_downloader", mock_file_downloader) + monkeypatch.setattr(all_the_bacteria, "run_pipeline", mock_run_pipeline) + + output = run_atb_pipeline(test_settings) + assert output is None + + mock_atb_file_list.bind.assert_called_once_with(test_settings) + mock_file_downloader.bind.assert_called_once_with(test_settings) + mock_run_pipeline.assert_called_once_with( + settings=test_settings, + resource=mock_file_downloader, + destination_kwargs={"max_table_nesting": 0}, + pipeline_kwargs={ + "pipeline_name": DATASET_NAME, + "dataset_name": DATASET_NAME, + }, + pipeline_run_kwargs=None, + ) + + +def test_run_atb_pipeline_bind_order( + test_settings: AtbSettings, + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Both resources are bound before run_pipeline is called.""" + call_order: list[str] = [] + + mock_atb_file_list = MagicMock() + mock_atb_file_list.bind.side_effect = lambda *_: call_order.append("atb_file_list.bind") + + mock_file_downloader = MagicMock() + mock_file_downloader.bind.side_effect = lambda *_: call_order.append("file_downloader.bind") + + def track_run_pipeline(**_: Any) -> None: + call_order.append("run_pipeline") + + monkeypatch.setattr(all_the_bacteria, "atb_file_list", mock_atb_file_list) + monkeypatch.setattr(all_the_bacteria, "file_downloader", mock_file_downloader) + monkeypatch.setattr(all_the_bacteria, "run_pipeline", track_run_pipeline) + + run_atb_pipeline(test_settings) + + assert call_order.index("atb_file_list.bind") < call_order.index("run_pipeline") + assert call_order.index("file_downloader.bind") < call_order.index("run_pipeline") + + +def test_run_atb_pipeline_resource_passed_to_run_pipeline_is_file_downloader( + test_settings: AtbSettings, + monkeypatch: pytest.MonkeyPatch, +) -> None: + """The resource argument to run_pipeline is the (possibly mutated) file_downloader object.""" + sentinel = MagicMock(name="file_downloader_sentinel") + mock_run_pipeline = MagicMock() + + monkeypatch.setattr(all_the_bacteria, "atb_file_list", MagicMock()) + monkeypatch.setattr(all_the_bacteria, "file_downloader", sentinel) + monkeypatch.setattr(all_the_bacteria, "run_pipeline", mock_run_pipeline) + + run_atb_pipeline(test_settings) + + assert mock_run_pipeline.call_args.kwargs["resource"] is sentinel + + +@pytest.mark.parametrize("use_output_dir_for_pipeline_metadata", [True, False]) +@pytest.mark.parametrize("dev_mode", [True, False]) +def test_run_atb_pipeline_pipeline_dir_present_or_absent( + use_output_dir_for_pipeline_metadata: bool, + dev_mode: bool, + mock_dlt: MagicMock, + dlt_config: dict[str, Any], + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Check that the appropriate args are passed as pipeline_kwargs.""" + settings = AtbSettings( + dlt_config=dlt_config, + output="/my/output", + use_destination=VALID_DESTINATIONS[0], + use_output_dir_for_pipeline_metadata=use_output_dir_for_pipeline_metadata, + dev_mode=dev_mode, + ) + mock_file_downloader = MagicMock(name="file_downloader") + if use_output_dir_for_pipeline_metadata: + assert settings.pipeline_dir == "/my/output/.dlt_conf" + else: + assert settings.pipeline_dir is None + + monkeypatch.setattr(all_the_bacteria, "atb_file_list", MagicMock()) + monkeypatch.setattr(all_the_bacteria, "file_downloader", mock_file_downloader) + + run_atb_pipeline(settings) + + assert mock_dlt.destination.call_args_list == [call(VALID_DESTINATIONS[0], max_table_nesting=0)] + mock_pipeline = mock_dlt.pipeline.return_value + assert mock_pipeline.run.call_args_list == [call(mock_file_downloader)] + + pipeline_kwargs: dict[str, Any] = {"pipeline_name": DATASET_NAME, "dataset_name": DATASET_NAME} + if use_output_dir_for_pipeline_metadata: + pipeline_kwargs["pipelines_dir"] = settings.pipeline_dir + if dev_mode: + pipeline_kwargs["dev_mode"] = True + + assert mock_dlt.pipeline.call_args_list == [call(destination=mock_dlt.destination.return_value, **pipeline_kwargs)] diff --git a/tests/pipelines/test_core.py b/tests/pipelines/test_core.py index ff8fdb93..c6d57a75 100644 --- a/tests/pipelines/test_core.py +++ b/tests/pipelines/test_core.py @@ -2,169 +2,449 @@ import datetime import logging +import os +from collections.abc import Generator +from copy import deepcopy from pathlib import Path from typing import Any -from unittest.mock import MagicMock, call +from unittest.mock import MagicMock, call, patch import pytest from pydantic import ValidationError from pydantic_settings import SettingsError from cdm_data_loaders.pipelines import core -from cdm_data_loaders.pipelines.core import run_cli, run_pipeline, stream_xml_file_resource +from cdm_data_loaders.pipelines.core import ( + construct_env_var, + run_cli, + run_pipeline, + stream_xml_file_resource, + sync_configs, +) from cdm_data_loaders.pipelines.cts_defaults import ( DEFAULT_BATCH_SIZE, + VALID_DESTINATIONS, BatchedFileInputSettings, + CtsSettings, ) -from tests.pipelines.conftest import make_batcher +from tests.pipelines.conftest import TEST_CTS_SETTINGS, _generate_dlt_config, make_batcher +from tests.pipelines.test_cts_defaults import SETTINGS_CLASSES + + +@pytest.fixture(autouse=True) +def mock_send_slack_message(monkeypatch: pytest.MonkeyPatch) -> MagicMock: + """Patch send_slack_message in core to prevent undue slack notifications.""" + slack_mock = MagicMock() + monkeypatch.setattr(core, "send_slack_message", slack_mock) + return slack_mock + + +@pytest.fixture(autouse=True) +def patch_dlt_config(dlt_config: dict[str, Any], monkeypatch: pytest.MonkeyPatch) -> None: + """Monkeypatch the dlt config in all tests.""" + monkeypatch.setattr(core.dlt, "config", dlt_config) + + +def make_batched_settings(**kwargs: str | int) -> BatchedFileInputSettings: + """Generate a validated BatchedFileInputSettings object with a valid dlt config.""" + return BatchedFileInputSettings.model_validate({"dlt_config": _generate_dlt_config(), **kwargs}) + +@pytest.fixture +def test_bfi_settings(tmp_path: Path) -> BatchedFileInputSettings: + """Minimal valid BatchedFileInputSettings (no start_at, no output).""" + return make_batched_settings(input_dir="/fake/input", output=str(tmp_path)) -def make_settings(**kwargs: str | int) -> BatchedFileInputSettings: - """Generate a validated BatchedFileInputSettings object.""" - return BatchedFileInputSettings.model_validate(kwargs) + +@pytest.fixture +def test_cts_settings() -> CtsSettings: + """A fully validated CtsSettings instance using the test dlt config.""" + return CtsSettings.model_validate({**TEST_CTS_SETTINGS, "dlt_config": _generate_dlt_config()}) @pytest.fixture( params=[ pytest.param({"input_dir": "/fake/input"}, id="default"), pytest.param( - {"input_dir": "/path/to/dir", "destination": "s3", "start_at": 15, "output": "/some/dir"}, + {"input_dir": "/path/to/dir", "use_destination": "s3", "start_at": 15, "output": "/some/dir"}, id="alt", ), ] ) def config(request: pytest.FixtureRequest) -> BatchedFileInputSettings: """Parametrized fixture providing default and non-default settings.""" - return make_settings(**request.param) - - -@pytest.fixture -def default_config() -> BatchedFileInputSettings: - """Minimal valid BatchedFileInputSettings (no start_at, no output).""" - return make_settings(input_dir="/fake/input") - - -@pytest.fixture -def fake_files() -> list[Path]: - """List of five files, used for testing.""" - return [Path(f"/fake/input/part_{n}.xml") for n in [1, 2, 3, 4, 5]] - - -@pytest.fixture(autouse=True) -def mock_send_slack_message(monkeypatch: pytest.MonkeyPatch) -> MagicMock: - """Patch send_slack_message in core to prevent undue slack notifications.""" - slack_mock = MagicMock() - monkeypatch.setattr(core, "send_slack_message", slack_mock) - return slack_mock + return make_batched_settings(**request.param) def assert_pipeline_run_correctly( # noqa: PLR0913 mock_dlt: MagicMock, fake_resource: MagicMock, destination: str, - destination_kwargs: dict[str, Any], - pipeline_kwargs: dict[str, Any], - pipeline_run_kwargs: dict[str, Any], + destination_kwargs: dict[str, Any] | None, + pipeline_kwargs: dict[str, Any] | None, + pipeline_run_kwargs: dict[str, Any] | None, ) -> None: """Shared assertion block for run_pipeline tests.""" - assert mock_dlt.destination.call_args_list == [call(destination, **destination_kwargs)] - assert mock_dlt.pipeline.call_args_list == [call(destination=mock_dlt.destination.return_value, **pipeline_kwargs)] + assert mock_dlt.destination.call_args_list == [call(destination, **destination_kwargs or {})] + assert mock_dlt.pipeline.call_args_list == [ + call(destination=mock_dlt.destination.return_value, **pipeline_kwargs or {}) + ] mock_pipeline = mock_dlt.pipeline.return_value - assert mock_pipeline.run.call_args_list == [call(fake_resource, **pipeline_run_kwargs)] + assert mock_pipeline.run.call_args_list == [call(fake_resource, **pipeline_run_kwargs or {})] + + +# construct_env_var +@pytest.mark.parametrize( + ("b_var", "t_var", "char_str", "expected"), + [ + ("B123", "T456", "C789", "https://hooks.slack.com/services/B123/T456/C789/"), + ("one", "two", "three", "https://hooks.slack.com/services/one/two/three/"), + ], +) +def test_construct_env_var_sets_runtime_slack_incoming_hook( + b_var: str, t_var: str, char_str: str, expected: str +) -> None: + """Test successful setting of the RUNTIME__SLACK_INCOMING_HOOK env var when all three variables are present.""" + with patch.dict( + os.environ, + { + "VARIABLE_B": b_var, + "VARIABLE_T": t_var, + "CHAR_STR": char_str, + }, + clear=True, + ): + # function returns None + assert construct_env_var() is None + assert os.environ["RUNTIME__SLACK_INCOMING_HOOK"] == expected + + +@pytest.mark.parametrize( + ("b_var", "t_var", "char_str"), + [ + (None, "T456", "C789"), + ("B123", None, "C789"), + ("B123", "T456", None), + (None, None, None), + ("", "T456", "C789"), + ], +) +def test_construct_env_var_does_not_set_when_any_variable_missing( + b_var: str | None, t_var: str | None, char_str: str | None +) -> None: + """Test unsuccessful interpolation of env vars if any of the three variables are missing or empty.""" + env = {} + if b_var is not None: + env["VARIABLE_B"] = b_var + if t_var is not None: + env["VARIABLE_T"] = t_var + if char_str is not None: + env["CHAR_STR"] = char_str + + with patch.dict(os.environ, env, clear=True): + assert construct_env_var() is None + assert "RUNTIME__SLACK_INCOMING_HOOK" not in os.environ + + +def test_construct_env_var_overwrites_existing_hook() -> None: + """An existing RUNTIME__SLACK_INCOMING_HOOK is overwritten when all vars are present.""" + with patch.dict( + os.environ, + { + "VARIABLE_B": "B", + "VARIABLE_T": "T", + "CHAR_STR": "C", + "RUNTIME__SLACK_INCOMING_HOOK": "https://old.hook/", + }, + clear=True, + ): + assert construct_env_var() is None + assert os.environ["RUNTIME__SLACK_INCOMING_HOOK"] == "https://hooks.slack.com/services/B/T/C/" + + +# sync_configs +def test_sync_configs_mutates_dlt_config_in_place(dlt_config: dict[str, Any], test_cts_settings: CtsSettings) -> None: + """sync_configs mutates the supplied dlt_config dict in-place.""" + original_id = id(dlt_config) + sync_configs(test_cts_settings, dlt_config) + assert id(dlt_config) == original_id + + +def test_sync_configs_with_mock_dlt_config_object(test_cts_settings: CtsSettings) -> None: + """sync_configs works with any mapping that supports __setitem__.""" + mock_cfg = MagicMock() + sync_configs(test_cts_settings, mock_cfg) + mock_cfg.__setitem__.assert_any_call("normalize.data_writer.disable_compression", test_cts_settings.dev_mode) + mock_cfg.__setitem__.assert_any_call( + f"destination.{test_cts_settings.use_destination}.bucket_url", + test_cts_settings.output, + ) -# run_cli tests -def test_run_cli_success() -> None: - """Test that instantiating a settings object successfully allows the pipeline_fn to be run.""" +@pytest.mark.parametrize("use_destination", VALID_DESTINATIONS) +@pytest.mark.parametrize("dev_mode", [True, False]) +@pytest.mark.parametrize("output", ["/some/path", "s3://bucket/whatever"]) +def test_sync_configs_both_keys_set_in_single_call( + dlt_config: dict[str, Any], test_cts_settings: CtsSettings, dev_mode: bool, use_destination: str, output: str +) -> None: + """Test that sync_configs changes the disable_compression and bucket_url values.""" + original_dlt_config = deepcopy(dlt_config) + test_cts_settings.dev_mode = dev_mode + test_cts_settings.use_destination = use_destination + test_cts_settings.output = output + sync_configs(test_cts_settings, dlt_config) + assert dlt_config == { + **original_dlt_config, + "normalize.data_writer.disable_compression": dev_mode, + f"destination.{use_destination}.bucket_url": output, + } - def pipeline_fn(config: Any) -> None: # noqa: ANN401 - assert config == "fake config object" - mock_settings_cls = MagicMock(return_value="fake config object") +# tests for run_cli() +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_run_cli_calls_settings_cls_with_dlt_config( + settings_cls: type[CtsSettings], dlt_config: dict[str, Any] +) -> None: + """Ensure run_cli instantiates the supplied settings class with dlt.config.""" + captured: list[CtsSettings] = [] + original_cls = settings_cls + + class _CaptureCls(original_cls): # type: ignore[valid-type] + def __init__(self, **data: Any) -> None: # noqa: ANN401 + super().__init__(**data) + assert data == {"dlt_config": dlt_config} + captured.append(self) + + run_cli(_CaptureCls, MagicMock()) + + assert len(captured) == 1 + captured_config = captured[0] + assert isinstance(captured_config, original_cls) + # The object passed to sync_configs must be a fully initialised instance + for attr in ["dev_mode", "input_dir", "output", "use_destination", "use_output_dir_for_pipeline_metadata"]: + assert hasattr(captured_config, attr) + + +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_run_cli_function_calls_args(settings_cls: type[CtsSettings], dlt_config: dict[str, Any]) -> None: + """Ensure run_cli calls sync_configs with the instantiated config and dlt.config.""" + instantiated_cls = settings_cls(dlt_config=dlt_config) + pipeline_fn_mock = MagicMock() + settings_cls_mock = MagicMock(return_value=instantiated_cls) + + with ( + patch("cdm_data_loaders.pipelines.core.construct_env_var") as mock_env_var, + patch("cdm_data_loaders.pipelines.core.sync_configs") as mock_sync, + ): + run_cli(settings_cls_mock, pipeline_fn_mock) # type: ignore[reportArgumentType] + + mock_env_var.assert_called_once_with() + settings_cls_mock.assert_called_once_with(dlt_config=dlt_config) + mock_sync.assert_called_once_with(instantiated_cls, dlt_config) + pipeline_fn_mock.assert_called_once_with(instantiated_cls) + + +# error handling: SettingsError/ValidationError/ValueError +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_run_cli_reraises_settings_error( + settings_cls: type[CtsSettings], + caplog: pytest.LogCaptureFixture, +) -> None: + """SettingsError is printed and re-raised.""" + err = SettingsError("bad CLI arg") - assert run_cli(mock_settings_cls, pipeline_fn) is None # type: ignore[reportArgumentType] - mock_settings_cls.assert_called_once_with() + with ( + patch.object(settings_cls, "__init__", side_effect=err), + pytest.raises(SettingsError, match="bad CLI arg"), + ): + run_cli(settings_cls, MagicMock()) + log_records = caplog.records + assert log_records[-1].levelno == logging.ERROR + assert log_records[-1].message == "Error initialising config" + +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) @pytest.mark.parametrize( - "error", + ("bad_dlt_config", "error", "err_msg"), [ - pytest.param(ValidationError("Oh no!", []), id="ValidationError"), - pytest.param(SettingsError("something"), id="SettingsError"), - pytest.param(TypeError("whatever"), id="TypeError"), + (None, ValidationError, "dlt_config must be defined"), + ({}, ValueError, "No valid destinations found in dlt configuration"), + ({"destination": {}}, ValueError, "No valid destinations found in dlt configuration"), ], ) -def test_run_cli_error(error: Exception) -> None: - """Test that a settings instantiation failure re-raises without calling pipeline_fn.""" +def test_run_cli_reraises_validation_errors( # noqa: PLR0913 + settings_cls: type[CtsSettings], + bad_dlt_config: None | dict[str, Any], + error: type[Exception], + err_msg: str, + caplog: pytest.LogCaptureFixture, + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Ensure that errors in instantiating the configuration are re-raised. + + See also the cts_defaults test ``test_cli_app_run_dlt_config_errors``. + """ + monkeypatch.setattr(core.dlt, "config", bad_dlt_config) + with pytest.raises(error, match=err_msg): + run_cli(settings_cls, MagicMock()) + + log_records = caplog.records + assert log_records[-1].levelno == logging.ERROR + assert log_records[-1].message == "Error initialising config" + + +# error handling: unexpected Exception +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_run_cli_reraises_unexpected_exception( + settings_cls: type[CtsSettings], caplog: pytest.LogCaptureFixture +) -> None: + """Ensure that other exceptions are caught and re-raised.""" + boom = RuntimeError("disk on fire") mock_pipeline_fn = MagicMock() - mock_settings_cls = MagicMock(side_effect=error) + with ( + patch.object(settings_cls, "__init__", side_effect=boom), + patch("cdm_data_loaders.pipelines.core.sync_configs") as mock_sync, + pytest.raises(RuntimeError, match="disk on fire"), + ): + run_cli(settings_cls, mock_pipeline_fn) + + log_records = caplog.records + assert log_records[-1].levelno == logging.ERROR + assert log_records[-1].message == "Unexpected error setting up config" + + mock_sync.assert_not_called() + mock_pipeline_fn.assert_not_called() - with pytest.raises(type(error), match=error.args[0]): - run_cli(mock_settings_cls, mock_pipeline_fn) # type: ignore[reportArgumentType] +# sync_configs not called on error +@pytest.mark.parametrize( + "exc", + [ + SettingsError("bad"), + ValueError("bad value"), + ], +) +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_run_cli_sync_configs_not_called_on_settings_instantiation_error( + exc: Exception, + settings_cls: type[CtsSettings], +) -> None: + """Ensure that further execution is stopped if settings instantiation fails.""" + mock_pipeline_fn = MagicMock() + with ( + patch.object(settings_cls, "__init__", side_effect=exc), + patch("cdm_data_loaders.pipelines.core.sync_configs") as mock_sync, + pytest.raises(type(exc)), + ): + run_cli(settings_cls, mock_pipeline_fn) + + mock_sync.assert_not_called() + mock_sync.assert_not_called() mock_pipeline_fn.assert_not_called() - mock_settings_cls.assert_called_once_with() -# run_pipeline tests -def test_run_pipeline_no_output(default_config: BatchedFileInputSettings, mock_dlt: MagicMock) -> None: - """Ensure pipeline.run is called with correct args and dlt.config is not touched.""" - fake_resource = MagicMock() +def test_run_cli_uses_slack_env_var_if_set( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """RUNTIME__SLACK_INCOMING_HOOK built by construct_env_var is visible during run_cli.""" + monkeypatch.setenv("VARIABLE_B", "BBB") + monkeypatch.setenv("VARIABLE_T", "TTT") + monkeypatch.setenv("CHAR_STR", "CCC") - run_pipeline(default_config, fake_resource) + run_cli(CtsSettings, MagicMock()) - mock_dlt.config.__setitem__.assert_not_called() - assert_pipeline_run_correctly(mock_dlt, fake_resource, default_config.destination, {}, {}, {}) + expected = "https://hooks.slack.com/services/BBB/TTT/CCC/" + assert os.environ.get("RUNTIME__SLACK_INCOMING_HOOK") == expected -def test_run_pipeline_custom_output_sets_dlt_config(mock_dlt: MagicMock) -> None: - """Ensure a non-empty output sets the correct dlt.config bucket_url key.""" - cfg = make_settings(output="/custom/output", destination="s3") +def test_run_cli_no_slack_env_var_when_vars_missing( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """RUNTIME__SLACK_INCOMING_HOOK is not set when source vars are absent.""" + for var in ("VARIABLE_B", "VARIABLE_T", "CHAR_STR", "RUNTIME__SLACK_INCOMING_HOOK"): + monkeypatch.delenv(var, raising=False) + + run_cli(CtsSettings, MagicMock()) + + assert "RUNTIME__SLACK_INCOMING_HOOK" not in os.environ + + +# dlt.config state after successful run +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("use_destination", VALID_DESTINATIONS) +@pytest.mark.parametrize("dev_mode", [True, False]) +@pytest.mark.parametrize("output", ["/some/path", "s3://bucket/whatever"]) +def test_run_cli_dlt_config_updated_after_success( + dlt_config: dict[str, Any], settings_cls: type[CtsSettings], dev_mode: bool, use_destination: str, output: str +) -> None: + """Test that sync_configs changes the disable_compression and bucket_url values.""" + original_dlt_config = deepcopy(dlt_config) + settings = settings_cls(dlt_config=dlt_config, dev_mode=dev_mode, output=output, use_destination=use_destination) + assert settings.dev_mode == dev_mode + assert settings.output == output + assert settings.use_destination == use_destination + settings_cls_mock = MagicMock(return_value=settings) + + run_cli(settings_cls_mock, MagicMock()) # type: ignore[reportArgumentType] + + assert dlt_config == { + **original_dlt_config, + "normalize.data_writer.disable_compression": dev_mode, + f"destination.{use_destination}.bucket_url": output, + } + + +# run_pipeline tests +def test_run_pipeline_minimal(test_bfi_settings: BatchedFileInputSettings, mock_dlt: MagicMock) -> None: + """Ensure pipeline.run is called with correct args in the simplest case.""" fake_resource = MagicMock() + run_pipeline(test_bfi_settings, fake_resource) + assert_pipeline_run_correctly(mock_dlt, fake_resource, test_bfi_settings.use_destination, {}, {}, {}) + +@pytest.mark.parametrize("destination_kwargs", [None, {}, {"max_table_nesting": 0}]) +@pytest.mark.parametrize("pipeline_kwargs", [None, {}, {"pipeline_name": "p", "dataset_name": "d"}]) +@pytest.mark.parametrize("pipeline_run_kwargs", [None, {}, {"table_format": "delta"}]) +def test_run_pipeline_destination_pipeline_pipeline_run_kwargs_set( + mock_dlt: MagicMock, + destination_kwargs: dict[str, Any] | None, + pipeline_kwargs: dict[str, Any] | None, + pipeline_run_kwargs: dict[str, Any] | None, +) -> None: + """Ensure a non-empty output sets the correct dlt.config bucket_url key.""" + settings = make_batched_settings(input_dir="/i", output="/custom/output", use_destination="s3") + fake_resource = MagicMock() run_pipeline( - cfg, + settings, fake_resource, - pipeline_kwargs={"pipeline_name": "some pipeline", "dataset_name": "some dataset"}, - destination_kwargs={"max_table_nesting": 0}, - pipeline_run_kwargs={"table_format": "delta"}, + destination_kwargs=destination_kwargs, + pipeline_kwargs=pipeline_kwargs, + pipeline_run_kwargs=pipeline_run_kwargs, ) - - mock_dlt.config.__setitem__.assert_called_once_with("destination.s3.bucket_url", "/custom/output") assert_pipeline_run_correctly( mock_dlt, fake_resource, "s3", - {"max_table_nesting": 0}, - {"pipeline_name": "some pipeline", "dataset_name": "some dataset"}, - {"table_format": "delta"}, + destination_kwargs, + pipeline_kwargs, + pipeline_run_kwargs, ) -@pytest.mark.parametrize("slack_configured", [True, False]) def test_run_pipeline_graceful_fail( - default_config: BatchedFileInputSettings, + test_bfi_settings: BatchedFileInputSettings, mock_dlt: MagicMock, - mock_send_slack_message: MagicMock, - slack_configured: bool, caplog: pytest.LogCaptureFixture, ) -> None: """Ensure that errors during pipeline runs are caught and do not cause the entire pipeline to go ka-boom.""" error = RuntimeError("Oh crap!!") fake_resource = MagicMock() - if slack_configured: - slack_hook = "http://some.url.slack.com" - mock_dlt.pipeline.return_value.runtime_config.slack_incoming_hook = slack_hook # = mock_slack_hook - mock_dlt.pipeline.return_value.run.side_effect = error - run_pipeline(default_config, fake_resource) - - if slack_configured: - mock_send_slack_message.assert_called_once_with("http://some.url.slack.com", f"Pipeline failed: {error!s}") - else: - mock_send_slack_message.assert_not_called() + output = run_pipeline(test_bfi_settings, fake_resource) + assert output is None assert caplog.records[-1].levelno == logging.ERROR assert caplog.records[-1].message.startswith("Pipeline failed: ") @@ -174,42 +454,161 @@ def test_run_pipeline_graceful_fail( @pytest.mark.parametrize("slack_configured", [True, False]) -def test_run_pipeline_slack_configured( - default_config: BatchedFileInputSettings, +@pytest.mark.parametrize("success", [True, False]) +def test_run_pipeline_slack_configured( # noqa: PLR0913 + test_bfi_settings: BatchedFileInputSettings, mock_dlt: MagicMock, mock_send_slack_message: MagicMock, slack_configured: bool, + success: bool, caplog: pytest.LogCaptureFixture, ) -> None: """Test that a slack message is sent if the slack_incoming_hook runtime config value is available.""" + # set up slack config if slack_configured: slack_hook = "http://some.url.slack.com" - mock_dlt.pipeline.return_value.runtime_config.slack_incoming_hook = slack_hook # = mock_slack_hook + mock_dlt.pipeline.return_value.runtime_config.slack_incoming_hook = slack_hook + + # set an error to be triggered if success is false + if not success: + error = RuntimeError("Oh crap!!") + mock_dlt.pipeline.return_value.run.side_effect = error - run_pipeline(default_config, MagicMock()) + run_pipeline(test_bfi_settings, MagicMock()) if slack_configured: - mock_send_slack_message.assert_called_once_with("http://some.url.slack.com", "Pipeline completed successfully!") + if success: + mock_send_slack_message.assert_called_once_with( + "http://some.url.slack.com", "Pipeline completed successfully!" + ) + else: + mock_send_slack_message.assert_called_once_with("http://some.url.slack.com", f"Pipeline failed: {error!s}") assert "Slack webhook not configured; no Slack alerts will be sent" not in caplog.messages else: mock_send_slack_message.assert_not_called() assert "Slack webhook not configured; no Slack alerts will be sent." in caplog.messages + if success: + # log messages on success + assert caplog.records[-1].levelno == logging.INFO + assert caplog.records[-1].message.startswith("Work complete!") + else: + assert caplog.records[-1].levelno == logging.ERROR + assert caplog.records[-1].message.startswith("Pipeline failed: ") + + +@pytest.mark.usefixtures("dlt_config") +def test_run_pipeline_sets_pipelines_dir_when_pipeline_dir_set(mock_dlt: MagicMock) -> None: + """pipelines_dir is injected into pipeline_kwargs when config.pipeline_dir is set.""" + settings = make_batched_settings(input_dir="/i", output="/out", use_output_dir_for_pipeline_metadata=True) + assert settings.pipeline_dir is not None + + run_pipeline(settings, MagicMock()) + + pipeline_call_kwargs = mock_dlt.pipeline.call_args.kwargs + assert pipeline_call_kwargs["pipelines_dir"] == settings.pipeline_dir + + +def test_run_pipeline_no_pipelines_dir_when_pipeline_dir_none( + test_bfi_settings: BatchedFileInputSettings, mock_dlt: MagicMock +) -> None: + """pipelines_dir is absent from pipeline_kwargs when config.pipeline_dir is None.""" + assert test_bfi_settings.pipeline_dir is None + run_pipeline(test_bfi_settings, MagicMock()) + pipeline_call_kwargs = mock_dlt.pipeline.call_args.kwargs + assert "pipelines_dir" not in pipeline_call_kwargs + + +@pytest.mark.usefixtures("dlt_config") +def test_run_pipeline_sets_dev_mode_in_pipeline_kwargs_when_true(mock_dlt: MagicMock) -> None: + """dev_mode=True is forwarded to dlt.pipeline().""" + settings = make_batched_settings(input_dir="/i", output="/out", dev_mode=True) + run_pipeline(settings, MagicMock()) + pipeline_call_kwargs = mock_dlt.pipeline.call_args.kwargs + assert pipeline_call_kwargs.get("dev_mode") is True + + +def test_run_pipeline_dev_mode_absent_from_pipeline_kwargs_when_false( + test_bfi_settings: BatchedFileInputSettings, mock_dlt: MagicMock +) -> None: + """dev_mode=False is NOT forwarded to dlt.pipeline() (the branch is if config.dev_mode:).""" + assert test_bfi_settings.dev_mode is False + run_pipeline(test_bfi_settings, MagicMock()) + pipeline_call_kwargs = mock_dlt.pipeline.call_args.kwargs + assert "dev_mode" not in pipeline_call_kwargs + # stream_xml_file_resource tests +@pytest.mark.parametrize("start_at", [0, 5, 173]) +def test_stream_xml_resource_nonzero_start_at_passed_to_batcher( + patched_io: tuple[MagicMock, MagicMock], start_at: int +) -> None: + """start_at > 0 is truthy and must be forwarded to BatchCursor.""" + mock_batcher_cls, _ = patched_io + mock_batcher_cls.return_value = make_batcher([]) + settings = make_batched_settings(input_dir="/i", start_at=start_at) + + list(stream_xml_file_resource(settings, "tag", MagicMock())) + if start_at == 0: + assert "start_at" not in mock_batcher_cls.call_args.kwargs + else: + assert mock_batcher_cls.call_args.kwargs.get("start_at") == start_at + + +@pytest.mark.usefixtures("mock_dlt") +def test_stream_xml_resource_timestamp_is_utc( + patched_io: tuple[MagicMock, MagicMock], + test_bfi_settings: BatchedFileInputSettings, +) -> None: + """The timestamp is set once and passed to parse_fn.""" + files = [Path(f"/f/{i}.xml") for i in range(3)] + mock_batcher_cls, mock_stream = patched_io + mock_batcher_cls.return_value = make_batcher(files) + mock_stream.return_value = ["e1", "e2"] + mock_parse = MagicMock(return_value={}) + + list(stream_xml_file_resource(test_bfi_settings, "tag", mock_parse)) + + timestamps = {c.kwargs["timestamp"] for c in mock_parse.call_args_list} + assert len(timestamps) == 1 + ts: datetime.datetime = timestamps.pop() + assert ts.tzinfo is datetime.UTC + + +@pytest.mark.usefixtures("mock_dlt") +@pytest.mark.parametrize("log_interval", [1, 3, 1000]) +def test_stream_xml_resource_progress_logged_at_interval( + patched_io: tuple[MagicMock, MagicMock], + test_bfi_settings: BatchedFileInputSettings, + log_interval: int, + caplog: pytest.LogCaptureFixture, +) -> None: + """A progress log is emitted every log_interval entries.""" + n_entries = 6 + fake_file = Path("/f/file.xml") + mock_batcher_cls, mock_stream = patched_io + mock_batcher_cls.return_value = make_batcher([fake_file]) + mock_stream.return_value = [MagicMock() for _ in range(n_entries)] + + list(stream_xml_file_resource(test_bfi_settings, "tag", MagicMock(return_value={}), log_interval=log_interval)) + + progress_msgs = [m for m in caplog.messages if m.startswith("Processed")] + expected_count = n_entries // log_interval + assert len(progress_msgs) == expected_count + + def test_stream_xml_file_resource_empty_batch_yields_nothing( config: BatchedFileInputSettings, patched_io: tuple[MagicMock, MagicMock], caplog: pytest.LogCaptureFixture, ) -> None: """No items yielded when BatchCursor returns an empty batch; BatchCursor receives correct args.""" - mock_batcher_cls, mock_stream = patched_io mock_batcher = MagicMock() mock_batcher.get_batch.return_value = [] + mock_batcher_cls, mock_stream = patched_io mock_batcher_cls.return_value = mock_batcher results = list(stream_xml_file_resource(config, "xml_tag", MagicMock())) - assert results == [] expected_batcher_kwargs = {"batch_size": DEFAULT_BATCH_SIZE} @@ -225,7 +624,7 @@ def test_stream_xml_file_resource_empty_batch_yields_nothing( def test_stream_xml_file_resource_yields_items_for_each_table_in_parsed_entry( mock_dlt: MagicMock, patched_io: tuple[MagicMock, MagicMock], - default_config: BatchedFileInputSettings, + test_bfi_settings: BatchedFileInputSettings, ) -> None: """One item is yielded per table key returned by the parse function.""" fake_file = Path("/fake/input/part1.xml") @@ -237,9 +636,9 @@ def test_stream_xml_file_resource_yields_items_for_each_table_in_parsed_entry( mock_batcher_cls, mock_stream = patched_io mock_batcher_cls.return_value = make_batcher([fake_file]) mock_stream.return_value = [fake_entry] - mock_dlt.mark.with_table_name.return_value = object() - results = list(stream_xml_file_resource(default_config, "xml_tag", MagicMock(return_value=parsed_entry))) + + results = list(stream_xml_file_resource(test_bfi_settings, "xml_tag", MagicMock(return_value=parsed_entry))) assert len(results) == len(parsed_entry) actual_calls = [list(c.args) for c in mock_dlt.mark.with_table_name.call_args_list] @@ -251,7 +650,7 @@ def test_stream_xml_file_resource_yields_items_for_each_table_in_parsed_entry( @pytest.mark.usefixtures("mock_dlt") def test_stream_xml_file_resource_parse_fn_correct_args( patched_io: tuple[MagicMock, MagicMock], - default_config: BatchedFileInputSettings, + test_bfi_settings: BatchedFileInputSettings, ) -> None: """Ensure that parse_fn is called with (entry, timestamp, file_path) for every streamed XML entry.""" fake_file = Path("/fake/input/part1.xml") @@ -262,7 +661,7 @@ def test_stream_xml_file_resource_parse_fn_correct_args( mock_stream.return_value = mock_stream_return mock_parse = MagicMock(return_value={}) - list(stream_xml_file_resource(default_config, xml_tag, mock_parse)) + list(stream_xml_file_resource(test_bfi_settings, xml_tag, mock_parse)) assert mock_parse.call_count == len(mock_stream_return) for i, c in enumerate(mock_parse.call_args_list): @@ -277,7 +676,7 @@ def test_stream_xml_file_resource_processes_all_files_across_batches( patched_io: tuple[MagicMock, MagicMock], fake_files: list[Path], batch_size: int, - default_config: BatchedFileInputSettings, + test_bfi_settings: BatchedFileInputSettings, caplog: pytest.LogCaptureFixture, ) -> None: """Ensure that stream_xml_file is called for every file regardless of batch size; file reads are logged.""" @@ -285,7 +684,7 @@ def test_stream_xml_file_resource_processes_all_files_across_batches( mock_batcher_cls.return_value = make_batcher(fake_files, batch_size) mock_stream.return_value = [] - list(stream_xml_file_resource(default_config, "some_tag", MagicMock())) + list(stream_xml_file_resource(test_bfi_settings, "some_tag", MagicMock())) assert mock_stream.call_args_list == [call(f, "some_tag") for f in fake_files] assert caplog.messages == [f"Reading from {f!s}" for f in fake_files] @@ -295,14 +694,13 @@ def test_stream_xml_file_resource_multiple_batches_with_output( # noqa: PLR0913 mock_dlt: MagicMock, patched_io: tuple[MagicMock, MagicMock], fake_files: list[Path], - default_config: BatchedFileInputSettings, + test_bfi_settings: BatchedFileInputSettings, caplog: pytest.LogCaptureFixture, monkeypatch: pytest.MonkeyPatch, ) -> None: """End-to-end: generator processes all batches, parse output is passed to dlt.mark.""" mock_batcher_cls, _ = patched_io mock_batcher_cls.return_value = make_batcher(fake_files, batch_size=2) - # with patch("cdm_data_loaders.pipelines.core.BatchCursor") as mock_batcher_cls: xml_tag = "some_tag" captured_output: dict[str, list[Any]] = {"entry": [], "file_path": []} @@ -322,7 +720,7 @@ def store_table_output(rows: list[dict[str, Any]], table: str) -> None: monkeypatch.setattr(core, "stream_xml_file", fake_stream_xml_file) mock_dlt.mark.with_table_name.side_effect = store_table_output - output = list(stream_xml_file_resource(default_config, xml_tag, fake_parse)) + output = list(stream_xml_file_resource(test_bfi_settings, xml_tag, fake_parse)) assert len(output) == len(fake_files) * 2 assert caplog.messages == [f"Reading from {f!s}" for f in fake_files] @@ -334,11 +732,11 @@ def store_table_output(rows: list[dict[str, Any]], table: str) -> None: def test_integration_resource_and_pipeline_with_table_name_output_validated( mock_dlt: MagicMock, patched_io: tuple[MagicMock, MagicMock], - default_config: BatchedFileInputSettings, + test_bfi_settings: BatchedFileInputSettings, fake_files: list[Path], ) -> None: """Run test_stream_xml_file_resource_multiple_batches_with_output within the run_pipeline method.""" - mock_batcher_cls, mock_stream = patched_io + mock_batcher_cls, _ = patched_io mock_batcher_cls.return_value = make_batcher(fake_files) xml_tag = "entry" @@ -352,20 +750,18 @@ def fake_parse(entry: dict[str, Any], timestamp: datetime.datetime, file_path: P assert entry == {"file_path_from_stream_xml_file": file_path, "xml_tag": "entry"} return {"entry": [entry], "file_path": [file_path]} - # use the fake_stream_xml_file function to mock the output of stream_xml_file - mock_stream.side_effect = fake_stream_xml_file - # make pipeline.run execute the stream_xml_file_resource generator mock_dlt.pipeline.return_value.run.side_effect = lambda resource, **_: list(resource) - resource = stream_xml_file_resource(default_config, "entry", fake_parse) - run_pipeline( - default_config, - resource, - destination_kwargs=None, - pipeline_kwargs={"pipeline_name": "test_pipeline_name", "dataset_name": "test_dataset_name"}, - pipeline_run_kwargs={"table_format": "delta"}, - ) + resource = stream_xml_file_resource(test_bfi_settings, "entry", fake_parse) + with patch.object(core, "stream_xml_file", fake_stream_xml_file): + run_pipeline( + test_bfi_settings, + resource, + destination_kwargs=None, + pipeline_kwargs={"pipeline_name": "test_pipeline_name", "dataset_name": "test_dataset_name"}, + pipeline_run_kwargs={"table_format": "delta"}, + ) mock_dlt.pipeline.return_value.run.assert_called_once() assert mock_dlt.pipeline.return_value.run.call_args_list == [call(resource, table_format="delta")] @@ -382,111 +778,110 @@ def fake_parse(entry: dict[str, Any], timestamp: datetime.datetime, file_path: P assert call_args_list == expected -# test run_cli + stream_xml_file_resource + run_pipeline -def test_integration_cli_resource_and_pipeline_with_table_name_output_validated( +def test_integration_empty_input_pipeline_run_still_called( mock_dlt: MagicMock, - patched_io: tuple[MagicMock, MagicMock], - default_config: BatchedFileInputSettings, - fake_files: list[Path], + patched_io_empty_batcher: tuple[MagicMock, MagicMock], + test_bfi_settings: BatchedFileInputSettings, ) -> None: - """Run test_stream_xml_file_resource_multiple_batches_with_output within the run_pipeline method.""" - mock_batcher_cls, mock_stream = patched_io - mock_batcher_cls.return_value = make_batcher(fake_files) - xml_tag = "entry" - - def fake_stream_xml_file(file_path: Path, tag: str) -> list[dict[str, Any]]: - assert file_path in fake_files - assert tag == xml_tag - return [{"file_path_from_stream_xml_file": file_path, "xml_tag": tag}] + """pipeline.run is called even when the resource yields nothing.""" + _, mock_stream = patched_io_empty_batcher + resource = stream_xml_file_resource(test_bfi_settings, "entry", MagicMock(return_value={})) + run_pipeline(test_bfi_settings, resource, pipeline_kwargs={"pipeline_name": "p", "dataset_name": "d"}) - def fake_parse(entry: dict[str, Any], timestamp: datetime.datetime, file_path: Path) -> dict[str, list[Any]]: - assert isinstance(timestamp, datetime.datetime) - assert entry == {"file_path_from_stream_xml_file": file_path, "xml_tag": xml_tag} - return {"entry": [entry], "file_path": [file_path]} + mock_stream.assert_not_called() + mock_dlt.mark.with_table_name.assert_not_called() + mock_dlt.pipeline.return_value.run.assert_called_once() - # use the fake_stream_xml_file function to mock the output of stream_xml_file - mock_stream.side_effect = fake_stream_xml_file - # make pipeline.run execute the stream_xml_file_resource generator - mock_dlt.pipeline.return_value.run.side_effect = lambda resource, **_: list(resource) +# test run_cli + stream_xml_file_resource + run_pipeline +@pytest.mark.use_fixtures("patched_io_empty_batcher", "test_bfi_settings") +def test_integration_run_cli_calls_pipeline_fn_with_config(mock_dlt: MagicMock) -> None: + """The exact config produced by run_cli reaches stream_xml_file_resource unchanged.""" + received: list[CtsSettings] = [] - def pipeline_fn(cfg: BatchedFileInputSettings) -> None: - """Fake pipeline function.""" - resource = stream_xml_file_resource(cfg, xml_tag, fake_parse) - run_pipeline( - cfg, resource, pipeline_kwargs={"pipeline_name": "test_pipeline_name", "dataset_name": "test_dataset_name"} - ) + def pipeline_fn(settings: BatchedFileInputSettings) -> None: + received.append(settings) + resource = stream_xml_file_resource(settings, "entry", MagicMock(return_value={})) + run_pipeline(settings, resource, pipeline_kwargs={"pipeline_name": "p", "dataset_name": "d"}) - run_cli(MagicMock(return_value=default_config), pipeline_fn) # type: ignore[reportArgumentType] + run_cli(BatchedFileInputSettings, pipeline_fn) - mock_dlt.pipeline.assert_called_once_with( - pipeline_name="test_pipeline_name", - destination=mock_dlt.destination.return_value, - dataset_name="test_dataset_name", - ) + assert len(received) == 1 + assert isinstance(received[0], BatchedFileInputSettings) mock_dlt.pipeline.return_value.run.assert_called_once() - # check the output to with_table_name is correct for every file and both tables - call_args_list = [list(c.args) for c in mock_dlt.mark.with_table_name.call_args_list] - expected = [] - for f in fake_files: - expected.extend( - [ - [[{"file_path_from_stream_xml_file": f, "xml_tag": xml_tag}], "entry"], - [[f], "file_path"], - ] - ) - assert call_args_list == expected @pytest.mark.usefixtures("patched_io_empty_batcher") -def test_integration_resource_and_pipeline_custom_output( +def test_integration_full_pipeline_config_propagated( mock_dlt: MagicMock, + config: BatchedFileInputSettings, ) -> None: - """Ensure that when output is set, dlt.config bucket_url is written and pipeline.run still executes.""" - cfg = make_settings(output="/custom/output", destination="s3") + """The exact config object from run_cli reaches stream_xml_file_resource unchanged. + + TODO: this test and the previous test are almost identical. Remove one or the other. + """ + received: list[BatchedFileInputSettings] = [] + + def pipeline_fn(settings: BatchedFileInputSettings) -> None: + received.append(settings) + resource = stream_xml_file_resource(settings, "entry", MagicMock(return_value={})) + run_pipeline(settings, resource, pipeline_kwargs={"pipeline_name": "p", "dataset_name": "d"}) - resource = stream_xml_file_resource(cfg, "entry", MagicMock(return_value={})) - run_pipeline(cfg, resource, pipeline_kwargs={"pipeline_name": "p", "dataset_name": "d"}) + run_cli(MagicMock(return_value=config), pipeline_fn) # type: ignore[reportArgumentType] - mock_dlt.config.__setitem__.assert_called_once_with("destination.s3.bucket_url", "/custom/output") + assert len(received) == 1 + assert received[0] == config mock_dlt.pipeline.return_value.run.assert_called_once() -def test_integration_empty_input_dir_pipeline_run_still_called( +def test_integration_run_cli_full_xml_pipeline( mock_dlt: MagicMock, - patched_io_empty_batcher: tuple[MagicMock, MagicMock], - default_config: BatchedFileInputSettings, + patched_io: tuple[MagicMock, MagicMock], + fake_files: list[Path], ) -> None: - """Ensure that pipeline.run is called even when the resource generator yields nothing.""" - _, mock_stream = patched_io_empty_batcher + """Full integration: run_cli => pipeline_fn => stream_xml_file_resource => run_pipeline.""" + xml_tag = "entry" + mock_batcher_cls, _ = patched_io + mock_batcher_cls.return_value = make_batcher(fake_files) - resource = stream_xml_file_resource(default_config, "entry", MagicMock(return_value={})) - run_pipeline(default_config, resource, pipeline_kwargs={"pipeline_name": "p", "dataset_name": "d"}) + def fake_stream(file_path: Path, tag: str) -> list[dict]: + return [{"fp": file_path, "tag": tag}] - mock_stream.assert_not_called() - mock_dlt.mark.with_table_name.assert_not_called() - mock_dlt.pipeline.return_value.run.assert_called_once() + def fake_parse(entry: dict, timestamp: datetime.datetime, file_path: Path) -> dict: # noqa: ARG001 + return {"entry": [entry], "file_path": [file_path]} + mock_dlt.pipeline.return_value.run.side_effect = lambda resource, **_: list(resource) -@pytest.mark.usefixtures("patched_io_empty_batcher") -def test_integration_full_pipeline_config_propagated( - mock_dlt: MagicMock, - config: BatchedFileInputSettings, -) -> None: - """The exact config object from run_cli reaches stream_xml_file_resource unchanged.""" - received: list[BatchedFileInputSettings] = [] + def pipeline_fn(settings: BatchedFileInputSettings) -> None: + resource = stream_xml_file_resource(settings, xml_tag, fake_parse) + run_pipeline(settings, resource, pipeline_kwargs={"pipeline_name": "tp", "dataset_name": "td"}) - def pipeline_fn(inner_cfg: BatchedFileInputSettings) -> None: - received.append(inner_cfg) - resource = stream_xml_file_resource(inner_cfg, "entry", MagicMock(return_value={})) - run_pipeline( - inner_cfg, - resource, - pipeline_kwargs={"pipeline_name": "p", "dataset_name": "d"}, - ) + with ( + patch.object(core, "stream_xml_file", fake_stream), + ): + run_cli(BatchedFileInputSettings, pipeline_fn) - run_cli(MagicMock(return_value=config), pipeline_fn) # type: ignore[reportArgumentType] + # pipeline instantiation + mock_dlt.pipeline.assert_called_once_with( + destination=mock_dlt.destination.return_value, + dataset_name="td", + pipeline_name="tp", + ) - assert len(received) == 1 - assert received[0] == config + # pipeline.run called once with resource (stream_xml_file_resource) mock_dlt.pipeline.return_value.run.assert_called_once() + fn = next(iter(mock_dlt.pipeline.return_value.run.call_args_list[0].args)) + assert isinstance(fn, Generator) + assert fn.__name__ == "stream_xml_file_resource" # type: ignore[reportAttributeAccessIssue] + + # args to dlt.mark.with_table_name + actual = [list(c.args) for c in mock_dlt.mark.with_table_name.call_args_list] + expected = [] + for f in fake_files: + expected.extend( + [ + [[{"fp": f, "tag": xml_tag}], "entry"], + [[f], "file_path"], + ] + ) + assert actual == expected diff --git a/tests/pipelines/test_cts_defaults.py b/tests/pipelines/test_cts_defaults.py index e0e2b9a3..035b81d6 100644 --- a/tests/pipelines/test_cts_defaults.py +++ b/tests/pipelines/test_cts_defaults.py @@ -1,95 +1,391 @@ -"""Tests for the uniprot_kb DLT pipeline.""" +"""Tests for the Settings objects used by DLT pipelines.""" + +from pathlib import Path +from typing import Any import pytest from pydantic import ValidationError from pydantic_settings import CliApp from cdm_data_loaders.pipelines.cts_defaults import ( - INPUT_MOUNT, + ARG_ALIASES, + DEFAULT_START_AT, VALID_DESTINATIONS, BatchedFileInputSettings, + CtsSettings, +) +from tests.pipelines.conftest import ( + DEFAULT_BATCH_FILE_SETTINGS_RECONCILED, + DEFAULT_CTS_SETTINGS_RECONCILED, + TEST_BATCH_FILE_SETTINGS, + TEST_BATCH_FILE_SETTINGS_RECONCILED, + TEST_CTS_SETTINGS, + TEST_CTS_SETTINGS_RECONCILED, + check_settings, + make_settings, ) -START_AT_VALUE = 50 -START_AT_STRING = "50" +SETTINGS_CLASSES = [CtsSettings, BatchedFileInputSettings] +INVALID_DESTINATIONS = ["gcs", "filesystem", "", "LocalFs", "S3"] +INVALID_BOOLEAN_VALUES = ["what", "yep", "nope", "2", -1, "", " ", "wtf", None] -def make_settings(**kwargs: str | int) -> BatchedFileInputSettings: - """Generate a validated Settings object.""" - return BatchedFileInputSettings.model_validate(kwargs) +# a whole load of values that Pydantic will coerce to a boolean +TRUE_FALSE_VALUES = [ + ("0", False), + ("1", True), + ("f", False), + ("false", False), + ("False", False), + ("FALSE", False), + ("n", False), + ("no", False), + ("off", False), + ("on", True), + ("t", True), + ("true", True), + ("True", True), + ("TRUE", True), + ("y", True), + ("yes", True), + (0, False), + (1, True), + (False, False), + (True, True), +] -def test_settings_defaults() -> None: - """Ensure the settings defaults are set up correctly.""" - s = make_settings() - assert s.destination == "local_fs" - assert s.start_at == 0 - assert s.output is None - assert s.input_dir == INPUT_MOUNT +# Generic settings tests +@pytest.mark.parametrize( + ("settings_cls", "args", "expected"), + [ + # default values + (CtsSettings, {}, DEFAULT_CTS_SETTINGS_RECONCILED), + (BatchedFileInputSettings, {}, DEFAULT_BATCH_FILE_SETTINGS_RECONCILED), + # all args specified + (CtsSettings, TEST_CTS_SETTINGS, TEST_CTS_SETTINGS_RECONCILED), + (BatchedFileInputSettings, TEST_BATCH_FILE_SETTINGS, TEST_BATCH_FILE_SETTINGS_RECONCILED), + ], +) +def test_settings_all_settings_specified( + dlt_config: dict[str, Any], settings_cls: type[CtsSettings], args: dict[str, Any], expected: dict[str, Any] +) -> None: + """Ensure the CTS settings are set up correctly.""" + s = make_settings(settings_cls, dlt_config=dlt_config, **args) + check_settings(s, dict(expected)) -def test_settings_all_params_set() -> None: - """Ensure that settings are set correctly when all args are specified.""" - s = make_settings( - input_dir="/dir/path", - destination=VALID_DESTINATIONS[0], - start_at=START_AT_STRING, - output="/some/dir", +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_cli_app_run_default_settings(settings_cls: type[CtsSettings], dlt_config: dict[str, Any]) -> None: + """Ensure the CTS settings are set up correctly, CLI version.""" + s = CliApp.run(settings_cls, dlt_config=dlt_config) + expected = ( + DEFAULT_CTS_SETTINGS_RECONCILED if settings_cls == CtsSettings else DEFAULT_BATCH_FILE_SETTINGS_RECONCILED ) - assert s.input_dir == "/dir/path" - assert s.destination == VALID_DESTINATIONS[0] - assert s.start_at == START_AT_VALUE - assert s.output == "/some/dir" + check_settings(s, dict(expected)) + + +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_settings_no_dlt_config_error(settings_cls: type[CtsSettings]) -> None: + """Ensure an error is raised if there is no dlt_config.""" + with pytest.raises(ValidationError, match=r"dlt_config must be defined"): + make_settings(settings_cls, dlt_config=None) + + +@pytest.mark.parametrize("invalid_destination_config", [{}, {"destination": {}}]) +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_settings_no_destinations_set( + settings_cls: type[CtsSettings], invalid_destination_config: dict[str, dict[Any, Any]] +) -> None: + """Ensure that destinations are specified in the dlt config.""" + with pytest.raises(ValueError, match="No valid destinations found in dlt configuration"): + make_settings(settings_cls, dlt_config=invalid_destination_config) + + +# same thing but via CliApp.run +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize( + ("dlt_config", "error", "err_msg"), + [ + (None, ValidationError, "dlt_config must be defined"), + ({}, ValueError, "No valid destinations found in dlt configuration"), + ({"destination": {}}, ValueError, "No valid destinations found in dlt configuration"), + ], +) +def test_cli_app_run_dlt_config_errors( + settings_cls: type[CtsSettings], dlt_config: None | dict[str, Any], error: type[Exception], err_msg: str +) -> None: + """Test all the variants of the Settings fields.""" + with pytest.raises(error, match=err_msg): + CliApp.run(settings_cls, dlt_config=dlt_config) -@pytest.mark.parametrize("destination", VALID_DESTINATIONS) -def test_settings_valid_variants_accepted(destination: str) -> None: - """Ensure that each valid uniprot_kb_variant value is accepted without error.""" - s = make_settings(destination=destination) - assert s.destination == destination +# destination tests +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("use_destination", VALID_DESTINATIONS) +def test_settings_valid_destinations_accepted( + use_destination: str, settings_cls: type[CtsSettings], dlt_config: dict[str, Any] +) -> None: + """Test valid destinations against the settings class.""" + s = make_settings(settings_cls, dlt_config=dlt_config, use_destination=use_destination) + assert s.use_destination == use_destination -@pytest.mark.parametrize("bad", ["gcs", "filesystem", "", "LocalFs"]) -def test_invalid_destination_raises(bad: str) -> None: - """Ensure that an unrecognised destination raises a ValidationError.""" - with pytest.raises(ValidationError, match="destination must be one of"): - make_settings(destination=bad) +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("use_destination", INVALID_DESTINATIONS) +def test_settings_invalid_destination_raises( + use_destination: str, settings_cls: type[CtsSettings], dlt_config: dict[str, Any] +) -> None: + """Ensure that an unrecognised use_destination raises a ValidationError.""" + with pytest.raises(ValidationError, match=r"use_destination must be one of \['local_fs', 's3'\]"): + make_settings(settings_cls, dlt_config=dlt_config, use_destination=use_destination) -def _cliapp_run(cli_args: list[str]) -> BatchedFileInputSettings: - """Tests that Settings correctly parses command-line arguments via CliApp. +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_settings_destination_has_no_bucket_url(settings_cls: type[CtsSettings]) -> None: + """Ensure that destinations have a bucket_url.""" + with pytest.raises(ValueError, match="No bucket_url specified for destination local_fs"): + make_settings(settings_cls, dlt_config={"destination": {"local_fs": None}}, use_destination="local_fs") - Uses CliApp.run with explicit cli_args to avoid mutating sys.argv globally. - """ - return CliApp.run(BatchedFileInputSettings, cli_args=cli_args) +# destination tests, CLI versions +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("use_destination", VALID_DESTINATIONS) +@pytest.mark.parametrize("destination_arg", ARG_ALIASES["use_destination"]) +def test_cli_app_run_valid_destinations_accepted( + use_destination: str, settings_cls: type[CtsSettings], destination_arg: str, dlt_config: dict[str, Any] +) -> None: + """Test valid destinations using the command line.""" + s = CliApp.run(settings_cls, dlt_config=dlt_config, cli_args=[destination_arg, use_destination]) + assert s.use_destination == use_destination -@pytest.mark.parametrize("input_dir", ["-i", "--input-dir", "--input_dir"]) -@pytest.mark.parametrize("destination", ["-d", "--destination"]) -@pytest.mark.parametrize("start_at", ["-s", "--start-at", "--start_at"]) -@pytest.mark.parametrize("output", ["-o", "--output"]) -def test_cli_all_variants(input_dir: str, destination: str, start_at: str, output: str) -> None: + +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("use_destination", INVALID_DESTINATIONS) +@pytest.mark.parametrize("destination_arg", ARG_ALIASES["use_destination"]) +def test_cli_app_run_invalid_destinations_raises( + use_destination: str, settings_cls: type[CtsSettings], destination_arg: str, dlt_config: dict[str, Any] +) -> None: + """Test invalid destinations using the command line.""" + with pytest.raises(ValidationError, match="use_destination must be one of"): + CliApp.run(settings_cls, dlt_config=dlt_config, cli_args=[destination_arg, use_destination]) + + +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("destination_arg", ARG_ALIASES["use_destination"]) +def test_cli_app_run_destination_has_no_bucket_url(settings_cls: type[CtsSettings], destination_arg: str) -> None: + """Ensure that destinations have a bucket_url.""" + with pytest.raises(ValueError, match="No bucket_url specified for destination local_fs"): + CliApp.run(settings_cls, dlt_config={"destination": {"local_fs": None}}, cli_args=[destination_arg, "local_fs"]) + + +# boolean fields +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize(("input_arg", "value"), TRUE_FALSE_VALUES) +@pytest.mark.parametrize("input_arg_name", ["use_output_dir_for_pipeline_metadata", "dev_mode"]) +def test_settings_boolean_variants_accepted( + input_arg: str, value: bool, input_arg_name: str, settings_cls: type[CtsSettings], dlt_config: dict[str, Any] +) -> None: + """Ensure that each valid boolean value is accepted without error.""" + s = make_settings(settings_cls, dlt_config=dlt_config, **{input_arg_name: input_arg}) # type: ignore[reportArgumentType] + assert getattr(s, input_arg_name) == value + + +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("value", INVALID_BOOLEAN_VALUES) +@pytest.mark.parametrize("input_arg_name", ["use_output_dir_for_pipeline_metadata", "dev_mode"]) +def test_settings_invalid_boolean_variants_raises( + value: bool, input_arg_name: str, settings_cls: type[CtsSettings], dlt_config: dict[str, Any] +) -> None: + """Ensure that each invalid boolean value is throws an error.""" + with pytest.raises(ValidationError, match="Input should be a valid boolean"): + make_settings(settings_cls, dlt_config=dlt_config, **{input_arg_name: value}) # type: ignore[reportArgumentType] + + +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize(("input_arg", "value"), TRUE_FALSE_VALUES) +@pytest.mark.parametrize("input_arg_name", ["use_output_dir_for_pipeline_metadata", "dev_mode"]) +def test_cli_app_run_boolean_variants_accepted( + input_arg: str, value: bool, input_arg_name: str, settings_cls: type[CtsSettings], dlt_config: dict[str, Any] +) -> None: + """Ensure that each invalid boolean value is throws an error.""" + s = CliApp.run(settings_cls, dlt_config=dlt_config, cli_args=[input_arg_name, str(input_arg)]) + if input_arg_name in ARG_ALIASES["use_output_dir_for_pipeline_metadata"]: + assert s.use_output_dir_for_pipeline_metadata == value + elif input_arg_name in ARG_ALIASES["dev_mode"]: + assert s.dev_mode == value + + +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("value", INVALID_BOOLEAN_VALUES) +@pytest.mark.parametrize( + "input_arg_name", [*ARG_ALIASES["use_output_dir_for_pipeline_metadata"], *ARG_ALIASES["dev_mode"]] +) +def test_cli_app_run_invalid_boolean_values_raises( + value: bool, input_arg_name: str, settings_cls: type[CtsSettings], dlt_config: dict[str, Any] +) -> None: + """Ensure that each invalid boolean value is throws an error.""" + with pytest.raises(ValidationError, match="Input should be a valid boolean"): + CliApp.run(settings_cls, dlt_config=dlt_config, cli_args=[input_arg_name, str(value)]) + + +# input and output path coercion +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize( + ("raw", "expected"), + [ + ("/some/path/", "/some/path"), + ("/some/path//", "/some/path"), + ("/some/path", "/some/path"), + ("/", "/"), + ("", ""), + ], +) +@pytest.mark.parametrize("field_name", ["input_dir", "output"]) +def test_settings_trailing_slash_stripped( + settings_cls: type[CtsSettings], + raw: str, + expected: str, + field_name: str, + dlt_config: dict[str, Any], +) -> None: + """Ensure that validate_dir_path removes trailing slashes but leaves directory slashes intact.""" + s = make_settings(settings_cls, dlt_config=dlt_config, **{field_name: raw}) + # output gets filled in with the default if it is falsy + if field_name == "output" and raw == "": + expected = "/output_dir" + assert getattr(s, field_name) == expected + + +# All arguments set, using CliApp.run +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("dev_mode", ARG_ALIASES["dev_mode"]) +@pytest.mark.parametrize("input_dir", ARG_ALIASES["input_dir"]) +@pytest.mark.parametrize("output", ARG_ALIASES["output"]) +@pytest.mark.parametrize("start_at", ARG_ALIASES["start_at"]) +@pytest.mark.parametrize("use_destination", ARG_ALIASES["use_destination"]) +@pytest.mark.parametrize( + "use_output_dir_for_pipeline_metadata", + ARG_ALIASES["use_output_dir_for_pipeline_metadata"], +) +def test_cli_app_run_alt_settings( # noqa: PLR0913 + settings_cls: type[CtsSettings], + dev_mode: str, + input_dir: str, + output: str, + start_at: str, + use_destination: str, + use_output_dir_for_pipeline_metadata: str, + dlt_config: dict[str, Any], +) -> None: """Test all the variants of the Settings fields.""" - s = _cliapp_run( - [ - input_dir, - "/dir/path", - destination, - VALID_DESTINATIONS[0], - start_at, - START_AT_STRING, - output, - "/some/dir", - ] + # TEST_BATCH_FILE_SETTINGS is identical to TEST_CTS_SETTINGS, but also includes start_at + cli_args = [ + dev_mode, + TEST_BATCH_FILE_SETTINGS["dev_mode"], + input_dir, + TEST_BATCH_FILE_SETTINGS["input_dir"], + output, + TEST_BATCH_FILE_SETTINGS["output"], + use_destination, + TEST_BATCH_FILE_SETTINGS["use_destination"], + use_output_dir_for_pipeline_metadata, + TEST_BATCH_FILE_SETTINGS["use_output_dir_for_pipeline_metadata"], + ] + # add in start_at for the BatchedFileInputSettings + if settings_cls == BatchedFileInputSettings: + cli_args.extend([start_at, TEST_BATCH_FILE_SETTINGS["start_at"]]) + + expected = TEST_CTS_SETTINGS_RECONCILED if settings_cls == CtsSettings else TEST_BATCH_FILE_SETTINGS_RECONCILED + + s = CliApp.run( + settings_cls, + dlt_config=dlt_config, + cli_args=cli_args, + ) + check_settings(s, expected) + + +# CLI App: ignore extra properties +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +def test_cli_app_run_invalid_params_ignored(settings_cls: type[CtsSettings], dlt_config: dict[str, Any]) -> None: + """Test that invalid parameter values are ignored.""" + s = CliApp.run( + settings_cls, + dlt_config=dlt_config, + cli_args=[ + "--some_random_arg", + "some value", + "-q", + "answer", + ], ) - assert s.input_dir == "/dir/path" - assert s.destination == VALID_DESTINATIONS[0] - assert s.start_at == START_AT_VALUE - assert s.output == "/some/dir" + output = s.model_dump() + + assert "some value" not in output.values() + assert "answer" not in output.values() + + +# values set during reconcile_with_dlt_config +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("use_destination", VALID_DESTINATIONS) +def test_settings_reconcile_with_dlt_config_output_resolved_from_dlt_config_bucket_url( + settings_cls: type[CtsSettings], + use_destination: str, + dlt_config: dict[str, Any], +) -> None: + """When output is empty, it is populated from dlt config's bucket_url.""" + s = make_settings( + settings_cls, + dlt_config=dlt_config, + output="", + use_destination=use_destination, + ) + assert s.output == dlt_config[f"destination.{use_destination}.bucket_url"] + + +# properties derived from self.output +@pytest.mark.parametrize("settings_cls", SETTINGS_CLASSES) +@pytest.mark.parametrize("output", ["", "/output/dir", "some/convoluted/path/to/dir/"]) +@pytest.mark.parametrize("use_output_dir_for_pipeline_metadata", [True, False]) +@pytest.mark.parametrize("use_destination", VALID_DESTINATIONS) +def test_settings_generate_pipeline_raw_data_dirs( + settings_cls: type[CtsSettings], + output: str, + use_output_dir_for_pipeline_metadata: bool, + dlt_config: dict[str, Any], + use_destination: str, +) -> None: + """Ensure that the correct paths are generated for pipeline and raw data directories.""" + s = make_settings( + settings_cls, + dlt_config=dlt_config, + output=output, + use_destination=use_destination, + use_output_dir_for_pipeline_metadata=use_output_dir_for_pipeline_metadata, + ) + + expected = { + **DEFAULT_CTS_SETTINGS_RECONCILED, + "use_destination": use_destination, + "use_output_dir_for_pipeline_metadata": use_output_dir_for_pipeline_metadata, + "output": output.rstrip("/") or dlt_config[f"destination.{use_destination}.bucket_url"], + } + + if settings_cls == BatchedFileInputSettings: + expected["start_at"] = DEFAULT_START_AT + + # list containing the projected raw_data_dir and pipeline_dir + expected_properties = { + "": [str(Path(expected["output"]) / "raw_data"), str(Path(expected["output"]) / ".dlt_conf")], + "/output/dir": [str(Path("/output/dir") / "raw_data"), str(Path("/output/dir") / ".dlt_conf")], + "some/convoluted/path/to/dir/": [ + str(Path("some/convoluted/path/to/dir") / "raw_data"), + str(Path("some/convoluted/path/to/dir") / ".dlt_conf"), + ], + } + expected["raw_data_dir"] = expected_properties[output][0] + expected["pipeline_dir"] = expected_properties[output][1] if use_output_dir_for_pipeline_metadata else None -@pytest.mark.parametrize("bad", ["gcs", "filesystem", "", "LocalFs"]) -def test_cli_invalid_destination_via_cli_raises(bad: str) -> None: - """Ensure that an invalid destination passed via CLI raises an error.""" - with pytest.raises(ValidationError, match="Value error, destination must be one of"): - _cliapp_run(["--destination", bad]) + check_settings(s, expected) diff --git a/tests/pipelines/test_ncbi_rest_api.py b/tests/pipelines/test_ncbi_rest_api.py index 64cb9175..a5029f3a 100644 --- a/tests/pipelines/test_ncbi_rest_api.py +++ b/tests/pipelines/test_ncbi_rest_api.py @@ -6,18 +6,23 @@ from unittest.mock import MagicMock, patch import pytest +from dlt.extract.items import DataItemWithMeta +from frozendict import frozendict from pydantic import ValidationError from pydantic_settings import CliApp from requests import HTTPError +from cdm_data_loaders.pipelines import core from cdm_data_loaders.pipelines import ncbi_rest_api as ncbi_module -from cdm_data_loaders.pipelines.cts_defaults import INPUT_MOUNT, OUTPUT_MOUNT, VALID_DESTINATIONS +from cdm_data_loaders.pipelines.cts_defaults import ARG_ALIASES from cdm_data_loaders.pipelines.ncbi_rest_api import ( ANNOTATION, + ARG_ALIAS_BATCH_SIZE, DATASET, DATASET_NAME, ERROR, - Settings, + NcbiSettings, + assemble_assembly_reports, assembly_list, cli, get_annotation_report, @@ -25,13 +30,19 @@ get_dataset_reports, run_ncbi_pipeline, ) +from tests.pipelines.conftest import ( + DEFAULT_VCR_CONFIG, + TEST_CTS_SETTINGS, + TEST_CTS_SETTINGS_RECONCILED, + check_settings, + make_settings_autofill_config, +) -CASSETTES_DIR = "tests/cassettes" -DLT_TESTING_CONFIG = { - "destination.local_fs.bucket_url": "tests/dlt_test_output", - "normalize.data_writer.disable_compression": True, -} +@pytest.fixture(autouse=True) +def patch_dlt_config(dlt_config: dict[str, Any], monkeypatch: pytest.MonkeyPatch) -> None: + """Monkeypatch the dlt config in all tests.""" + monkeypatch.setattr(core.dlt, "config", dlt_config) @pytest.fixture(autouse=True) @@ -40,23 +51,29 @@ def patch_rest_client_hooks(monkeypatch: pytest.MonkeyPatch) -> None: monkeypatch.setattr("cdm_data_loaders.pipelines.ncbi_rest_api.REST_CLIENT_HOOKS", {}) +BATCH_SIZE_STRING = "500" +BATCH_SIZE_INT = 500 + +TEST_NCBI_SETTINGS = frozendict( + **TEST_CTS_SETTINGS, + batch_size=BATCH_SIZE_STRING, +) + +TEST_NCBI_SETTINGS_RECONCILED = frozendict( + **TEST_CTS_SETTINGS_RECONCILED, + batch_size=BATCH_SIZE_INT, +) + + @pytest.fixture(scope="module") def vcr_config() -> dict[str, Any]: """VCR config for tests that make HTTP requests.""" - return { - "cassette_library_dir": CASSETTES_DIR, - "record_mode": "once", # record on first run, replay thereafter - "serializer": "yaml", - "match_on": ["method", "scheme", "host", "path", "query"], - # strip the NCBI API key from cassettes - "filter_query_parameters": ["api_key"], - "filter_headers": ["api_key"], - "decode_compressed_response": True, - } + return {**DEFAULT_VCR_CONFIG} ID_WITH_2K_ANNOTS = "GCF_000003135.1" ID_WITH_500_ANNOTS = "GCF_000007725.1" +ID_TRIGGERS_500_ERR = "GCF_500_ERROR" VALID_IDS = [ID_WITH_500_ANNOTS, ID_WITH_2K_ANNOTS] INVALID_ID = "invalid_id" ALL_IDS = [*VALID_IDS, INVALID_ID] @@ -64,12 +81,6 @@ def vcr_config() -> dict[str, Any]: BATCH_SIZE_STRING = "500" -@pytest.fixture(scope="module") -def config() -> Settings: - """Default config for testing.""" - return Settings.model_validate({"input_dir": "/fake/dir"}) - - @pytest.fixture(scope="module") def valid_assembly_ids() -> list[str]: """A list of assembly IDs.""" @@ -94,103 +105,9 @@ def assembly_ids(valid_assembly_ids: list[str], invalid_assembly_id: str) -> lis return [*valid_assembly_ids, invalid_assembly_id] -def make_settings(**kwargs: str | int | bool) -> Settings: - """Generate a validated Settings object.""" - return Settings.model_validate(kwargs) - - -def test_settings_defaults() -> None: - """Ensure the settings defaults are set up correctly.""" - s = make_settings() - assert s.destination == VALID_DESTINATIONS[0] - assert s.dev_mode is False - assert s.input_dir == INPUT_MOUNT - assert s.pipeline_dir is None - # FIXME: should be dlt.config["destination.local_fs.bucket_url"] - assert s.output == OUTPUT_MOUNT - assert s.use_output_dir_for_pipeline_metadata is False - assert s.batch_size == ncbi_module.MAX_RESULTS_PER_PAGE - - -def test_settings_all_params_set() -> None: - """Ensure that settings are set correctly when all args are specified.""" - s = make_settings( - destination=VALID_DESTINATIONS[0], - dev_mode=True, - input_dir="/dir/path", - output="/some/dir", - use_output_dir_for_pipeline_metadata=True, - batch_size=BATCH_SIZE, - ) - assert s.destination == VALID_DESTINATIONS[0] - assert s.dev_mode is True - assert s.input_dir == "/dir/path" - assert s.pipeline_dir == Path("/some") / "dir" / ".dlt_conf" - assert s.output == "/some/dir" - assert s.use_output_dir_for_pipeline_metadata is True - assert s.batch_size == BATCH_SIZE - - -@pytest.mark.parametrize("destination", VALID_DESTINATIONS) -def test_settings_valid_variants_accepted(destination: str) -> None: - """Ensure that each valid destination value is accepted without error.""" - s = make_settings(destination=destination) - assert s.destination == destination - - -@pytest.mark.parametrize("bad", ["gcs", "filesystem", "", "LocalFs"]) -def test_invalid_destination_raises(bad: str) -> None: - """Ensure that an unrecognised destination raises a ValidationError.""" - with pytest.raises(ValidationError, match="destination must be one of"): - make_settings(destination=bad) - - -@pytest.mark.parametrize("input_dir", ["-i", "--input-dir", "--input_dir"]) -@pytest.mark.parametrize("destination", ["-d", "--destination"]) -@pytest.mark.parametrize("use_output_dir_for_pipeline_metadata", ["-p", "--pipeline-dir", "--pipeline_dir"]) -@pytest.mark.parametrize("output", ["-o", "--output"]) -@pytest.mark.parametrize("dev_mode_flag", ["--dev", "--dev-mode", "--dev_mode"]) -@pytest.mark.parametrize("batch_size", ["-b", "--batch-size", "--batch_size"]) -def test_cli_all_variants( # noqa: PLR0913 - input_dir: str, - destination: str, - use_output_dir_for_pipeline_metadata: str, - output: str, - dev_mode_flag: str, - batch_size: str, -) -> None: - """Test all the variants of the Settings fields.""" - s = CliApp.run( - Settings, - [ - input_dir, - "/dir/path", - destination, - VALID_DESTINATIONS[0], - output, - "/some/dir", - use_output_dir_for_pipeline_metadata, - "True", - dev_mode_flag, - "True", - batch_size, - BATCH_SIZE_STRING, - ], - ) - assert s.destination == VALID_DESTINATIONS[0] - assert s.dev_mode is True - assert s.input_dir == "/dir/path" - assert s.pipeline_dir == Path("/some") / "dir" / ".dlt_conf" - assert s.output == "/some/dir" - assert s.use_output_dir_for_pipeline_metadata is True - assert s.batch_size == BATCH_SIZE - - -@pytest.mark.parametrize("bad", ["gcs", "filesystem", "", "LocalFs"]) -def test_cli_invalid_destination_via_cli_raises(bad: str) -> None: - """Ensure that an invalid destination passed via CLI raises an error.""" - with pytest.raises(ValidationError, match="Value error, destination must be one of"): - CliApp.run(Settings, cli_args=["--destination", bad]) +def make_settings(**kwargs: str | int | bool) -> NcbiSettings: + """Generate a validated NcbiSettings object.""" + return NcbiSettings.model_validate(kwargs) @pytest.mark.parametrize( @@ -203,68 +120,84 @@ def test_cli_invalid_destination_via_cli_raises(bad: str) -> None: ("", "Input should be a valid integer"), ], ) -def test_cli_invalid_batch_size_via_cli_raises(bad_batch_size: str, message: str) -> None: +@pytest.mark.parametrize("use_cliapp", [True, False]) +def test_cli_invalid_batch_size_via_cli_raises(bad_batch_size: str, message: str, use_cliapp: bool) -> None: """Ensure that an invalid batch size passed via CLI raises an error.""" - with pytest.raises(ValidationError, match=message): - CliApp.run(Settings, cli_args=["--batch-size", bad_batch_size]) + if use_cliapp: + with pytest.raises(ValidationError, match=message): + CliApp.run(NcbiSettings, cli_args=["--batch-size", bad_batch_size]) + else: + with pytest.raises(ValidationError, match=message): + make_settings_autofill_config(NcbiSettings, batch_size=bad_batch_size) + + +def test_settings_all_params_set() -> None: + """Ensure that settings are set correctly when all args are specified.""" + s = make_settings_autofill_config(NcbiSettings, **TEST_NCBI_SETTINGS) + check_settings(s, TEST_NCBI_SETTINGS_RECONCILED) +@pytest.mark.parametrize("batch_size", ARG_ALIAS_BATCH_SIZE) +@pytest.mark.parametrize("dev_mode", ARG_ALIASES["dev_mode"]) +@pytest.mark.parametrize("input_dir", ARG_ALIASES["input_dir"]) +@pytest.mark.parametrize("output", ARG_ALIASES["output"]) +@pytest.mark.parametrize("use_destination", ARG_ALIASES["use_destination"]) @pytest.mark.parametrize( - ("boolean", "valid", "value"), - [ - (None, False, None), - ("notaboolean", False, None), - ("123", False, None), - ("", False, None), - ("Truee", False, None), - ("Falsee", False, None), - ("true", True, True), - ("false", True, False), - ("True", True, True), - ("False", True, False), - ("1", True, True), - ("0", True, False), - ], + "use_output_dir_for_pipeline_metadata", + ARG_ALIASES["use_output_dir_for_pipeline_metadata"], ) -def test_cli_invalid_boolean_via_cli_raises(boolean: str, valid: bool, value: bool) -> None: - """Ensure that an invalid boolean passed via CLI causes a ValidationError. - - :param boolean: the value of the boolean - :type boolean: str - :param valid: whether or not this is a valid CLI value for a boolean field - :type valid: bool - :param value: the expected parsed value of the boolean - :type value: bool - """ - if not valid: - with pytest.raises(ValidationError, match="Input should be a valid boolean, unable to interpret input"): - CliApp.run(Settings, cli_args=["--dev-mode", boolean]) - else: - s = CliApp.run(Settings, cli_args=["--dev-mode", boolean]) - assert s.dev_mode is value +def test_cli_all_variants( # noqa: PLR0913 + batch_size: str, + dev_mode: str, + input_dir: str, + output: str, + use_destination: str, + use_output_dir_for_pipeline_metadata: str, + dlt_config: dict[str, Any], +) -> None: + """Test all the variants of the NcbiSettings fields.""" + s = CliApp.run( + NcbiSettings, + dlt_config=dlt_config, + cli_args=[ + batch_size, + BATCH_SIZE_STRING, + dev_mode, + TEST_NCBI_SETTINGS["dev_mode"], + input_dir, + TEST_NCBI_SETTINGS["input_dir"], + output, + TEST_NCBI_SETTINGS["output"], + use_destination, + TEST_NCBI_SETTINGS["use_destination"], + use_output_dir_for_pipeline_metadata, + TEST_NCBI_SETTINGS["use_output_dir_for_pipeline_metadata"], + ], + ) + check_settings(s, TEST_NCBI_SETTINGS_RECONCILED) def test_cli_passes_settings_class_to_run_cli() -> None: - """Ensure that cli() calls run_cli with Settings as the settings class.""" + """Ensure that cli() calls run_cli with NcbiSettings as the settings class.""" with patch.object(ncbi_module, "run_cli") as mock_run_cli: cli() mock_run_cli.assert_called_once() - assert mock_run_cli.call_args[0] == (Settings, run_ncbi_pipeline) + assert mock_run_cli.call_args[0] == (NcbiSettings, run_ncbi_pipeline) -def test_cli_calls_run_ncbi_pipeline(monkeypatch: pytest.MonkeyPatch) -> None: - """Ensure that cli() calls run_ncbi_pipeline with the config.""" - mock_settings_instance = MagicMock(spec=Settings) +def test_cli_calls_run_ncbi_pipeline(monkeypatch: pytest.MonkeyPatch, dlt_config: dict[str, Any]) -> None: + """Ensure that cli() calls run_ncbi_pipeline with the settings.""" + mock_settings_instance = MagicMock() mock_settings_cls = MagicMock(return_value=mock_settings_instance) mock_run_ncbi_pipeline = MagicMock() - monkeypatch.setattr(ncbi_module, "Settings", mock_settings_cls) + monkeypatch.setattr(ncbi_module, "NcbiSettings", mock_settings_cls) monkeypatch.setattr(ncbi_module, "run_ncbi_pipeline", mock_run_ncbi_pipeline) cli() - mock_settings_cls.assert_called_once_with() + mock_settings_cls.assert_called_once_with(dlt_config=dlt_config) mock_run_ncbi_pipeline.assert_called_once_with(mock_settings_instance) @@ -290,9 +223,9 @@ def check_annotation_report(annotation_report: list[dict[str, Any]] | None, asse def test_assembly_list_resource() -> None: """Test that the assembly list resource yields the expected assembly IDs.""" - config = Settings.model_validate({"input_dir": "tests/data/ncbi_rest_api/input"}) + settings: NcbiSettings = make_settings_autofill_config(NcbiSettings, input_dir="tests/data/ncbi_rest_api/input") # type: ignore[reportAssignmentType] - ass_list = list(assembly_list(config)) + ass_list = list(assembly_list(settings)) assert ass_list == [ "GCF_029958545.3", "GCF_029958565.3", @@ -308,7 +241,6 @@ def test_assembly_list_resource() -> None: @pytest.mark.parametrize("dev_mode", [False, True, None]) @pytest.mark.parametrize("use_pipeline_dir", [False, True, None]) def test_run_ncbi_pipeline_sets_core_run_pipeline_args_correctly( - config: Settings, dev_mode: bool | None, use_pipeline_dir: bool | None, mock_dlt: MagicMock, @@ -326,22 +258,40 @@ def test_run_ncbi_pipeline_sets_core_run_pipeline_args_correctly( if use_pipeline_dir is not None: base_settings["use_output_dir_for_pipeline_metadata"] = use_pipeline_dir - config = Settings.model_validate(base_settings) + settings: NcbiSettings = make_settings_autofill_config(NcbiSettings, **base_settings) # type: ignore[reportAssignmentType] + + check_settings( + settings, + { + "dev_mode": bool(dev_mode), + "input_dir": "tests/data/ncbi_rest_api/input", + "output": "/some/dir", + "pipeline_dir": "/some/dir/.dlt_conf" if use_pipeline_dir else None, + "raw_data_dir": "/some/dir/raw_data", + "use_destination": "local_fs", + "use_output_dir_for_pipeline_metadata": bool(use_pipeline_dir), + "batch_size": 1000, + }, + ) + + run_ncbi_pipeline(settings) - run_ncbi_pipeline(config) + mock_dlt.destination.assert_called_once_with(settings.use_destination, max_table_nesting=0) + mock_dlt.destination.assert_called_once() + assert mock_dlt.destination.call_args_list[0].kwargs == {"max_table_nesting": 0} + assert mock_dlt.destination.call_args_list[0].args == ("local_fs",) + mock_assembly_list.bind.assert_called_once_with(settings) - mock_dlt.destination.assert_called_once_with(config.destination, max_table_nesting=0) mock_dlt.pipeline.assert_called_once() - mock_assembly_list.bind.assert_called_once_with(config) assert mock_dlt.pipeline.call_args.kwargs["destination"] == mock_dlt.destination.return_value assert mock_dlt.pipeline.call_args.kwargs["pipeline_name"] == DATASET_NAME assert mock_dlt.pipeline.call_args.kwargs["dataset_name"] == DATASET_NAME if dev_mode: # truthy assert mock_dlt.pipeline.call_args.kwargs["dev_mode"] is True else: - assert mock_dlt.pipeline.call_args.kwargs["dev_mode"] is False + assert "dev_mode" not in mock_dlt.pipeline.call_args.kwargs if use_pipeline_dir: # truthy - assert mock_dlt.pipeline.call_args.kwargs["pipelines_dir"] == Path(config.output) / ".dlt_conf" # type: ignore[reportArgumentType] + assert mock_dlt.pipeline.call_args.kwargs["pipelines_dir"] == f"{settings.output}/.dlt_conf" # type: ignore[reportArgumentType] else: assert "pipelines_dir" not in mock_dlt.pipeline.call_args.kwargs @@ -386,7 +336,7 @@ def test_get_annotation_report_multi_page() -> None: def test_get_annotation_report_multi_page_err() -> None: """An error in the middle of a multi-page retrieval should stop the whole retrieval process.""" with pytest.raises(HTTPError, match="500 Server Error: Internal Server Error for url"): - get_annotation_report(ID_WITH_2K_ANNOTS) + get_annotation_report(ID_TRIGGERS_500_ERR) @pytest.mark.default_cassette("test_get_assembly_reports.yaml") @@ -415,12 +365,77 @@ def test_get_assembly_reports() -> None: assert assembly_reports[ERROR] == [] +RECORDED_ERRORS = { + "dataset_404": { + "assembly_id": None, + "assembly_id_list": ALL_IDS, + "error_class": "HTTPError", + "error_from": "dataset_report", + "message": '404 Client Error: Not Found for url: https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1%2CGCF_000003135.1%2Cinvalid_id/dataset_report?page_size=1000\nResponse: {"error":"Not Found","code":404,"message":"Your request is invalid. (For more help, see the NCBI Datasets Documentation at https://www.ncbi.nlm.nih.gov/datasets/docs/)"}\n', + "request_url": "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1%2CGCF_000003135.1%2Cinvalid_id/dataset_report?page_size=1000", + "status": 404, + "reason": "Not Found", + }, + "annotation_report_500": { + "assembly_id": ID_WITH_2K_ANNOTS, + "assembly_id_list": None, + "error_class": "HTTPError", + "error_from": "annotation_report", + "message": '500 Server Error: Internal Server Error for url: https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000003135.1/annotation_report?page_size=1000&page_token=eNrjYos2NDAwjAUABagBiw\nResponse: {"error":"Internal Server Error","code":500,"message":"Internal Server Error (For more help, see the NCBI Datasets Documentation at https://www.ncbi.nlm.nih.gov/datasets/docs/)"}\n', + "request_url": "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000003135.1/annotation_report?page_size=1000&page_token=eNrjYos2NDAwjAUABagBiw", + "status": 500, + "reason": "Internal Server Error", + }, + "annotation_report_404": { + "assembly_id": ID_WITH_500_ANNOTS, + "assembly_id_list": None, + "error_class": "HTTPError", + "error_from": "annotation_report", + "message": '404 Client Error: Not Found for url: https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1/annotation_report?page_size=1000\nResponse: {"error":"Not Found","code":404,"message":"Your request is invalid. (For more help, see the NCBI Datasets Documentation at https://www.ncbi.nlm.nih.gov/datasets/docs/)"}\n', + "request_url": "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1/annotation_report?page_size=1000", + "status": 404, + "reason": "Not Found", + }, + "value_error": { + "assembly_id": INVALID_ID, + "assembly_id_list": None, + "error_class": "ValueError", + "error_from": "annotation_report", + "message": f"Some error message involving {INVALID_ID}.", + "request_url": None, + "status": None, + "reason": None, + }, +} + + @mock.patch("tenacity.nap.time.sleep", MagicMock()) @pytest.mark.default_cassette("test_get_assembly_reports_annotation_report_errors.yaml") @pytest.mark.vcr def test_get_assembly_reports_annotation_report_errors() -> None: """Test the retrieval of assembly data when errors occur fetching annotation reports.""" - assembly_reports = get_assembly_reports(ALL_IDS) + original_get_annotation_report = get_annotation_report + + def patched_get_annotation_report(assembly_id: str) -> list[dict[str, Any]] | None: + """Patched version of get_annotation_report that throws a value error with a certain input. + + :param assembly_id: assembly ID + :type assembly_id: str + :raises ValueError: if the ID is INVALID_ID + :return: output from the real get_annotation_report + :rtype: list[dict[str, Any]] | None + """ + if assembly_id == INVALID_ID: + err_msg = f"Some error message involving {INVALID_ID}." + raise ValueError(err_msg) + return original_get_annotation_report(assembly_id) + + with mock.patch( + "cdm_data_loaders.pipelines.ncbi_rest_api.get_annotation_report", + side_effect=patched_get_annotation_report, + ): + assembly_reports = get_assembly_reports(ALL_IDS) + assert set(assembly_reports) == {DATASET, ANNOTATION, ERROR} for datatype in [DATASET, ANNOTATION]: assert set(assembly_reports[datatype]) == set(ALL_IDS) @@ -431,18 +446,7 @@ def test_get_assembly_reports_annotation_report_errors() -> None: check_annotation_report(assembly_reports[ANNOTATION][ID_WITH_500_ANNOTS], ID_WITH_500_ANNOTS) assert assembly_reports[ANNOTATION][ID_WITH_2K_ANNOTS] is None - assert assembly_reports[ERROR] == [ - { - "assembly_id": ID_WITH_2K_ANNOTS, - "assembly_id_list": None, - "error_class": "HTTPError", - "error_from": "annotation_report", - "message": '500 Server Error: Internal Server Error for url: https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000003135.1/annotation_report?page_size=1000&page_token=eNrjYos2NDAwjAUABagBiw\nResponse: {"error":"Internal Server Error","code":500,"message":"Internal Server Error (For more help, see the NCBI Datasets Documentation at https://www.ncbi.nlm.nih.gov/datasets/docs/) (1D3311AB4E92F955000055F41870A1E3.1.1)"}\n', - "request_url": "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000003135.1/annotation_report?page_size=1000&page_token=eNrjYos2NDAwjAUABagBiw", - "status": 500, - "reason": "Internal Server Error", - } - ] + assert assembly_reports[ERROR] == [RECORDED_ERRORS["annotation_report_500"], RECORDED_ERRORS["value_error"]] @mock.patch("tenacity.nap.time.sleep", MagicMock()) @@ -458,60 +462,43 @@ def test_get_assembly_reports_dataset_report_errors() -> None: check_annotation_report(assembly_reports[ANNOTATION][assembly_id], assembly_id) assert assembly_reports[DATASET][assembly_id] is None - assert assembly_reports[ERROR] == [ - { - "assembly_id": None, - "assembly_id_list": ALL_IDS, - "error_class": "HTTPError", - "error_from": "dataset_report", - "message": '404 Client Error: Not Found for url: https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1%2CGCF_000003135.1%2Cinvalid_id/dataset_report?page_size=1000\nResponse: {"error":"Not Found","code":404,"message":"Your request is invalid. (For more help, see the NCBI Datasets Documentation at https://www.ncbi.nlm.nih.gov/datasets/docs/)"}\n', - "request_url": "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1%2CGCF_000003135.1%2Cinvalid_id/dataset_report?page_size=1000", - "status": 404, - "reason": "Not Found", - } - ] + assert assembly_reports[ERROR] == [RECORDED_ERRORS["dataset_404"]] @mock.patch("tenacity.nap.time.sleep", MagicMock()) @pytest.mark.vcr def test_get_assembly_reports_total_wipeout() -> None: """Test the retrieval of assembly data when all queries fail.""" - # TODO: another type of error? - output = get_assembly_reports(ALL_IDS) + original_get_annotation_report = get_annotation_report + + def patched_get_annotation_report(assembly_id: str) -> list[dict[str, Any]] | None: + """Patched version of get_annotation_report that throws a value error with a certain input. + + :param assembly_id: assembly ID + :type assembly_id: str + :raises ValueError: if the ID is INVALID_ID + :return: output from the real get_annotation_report + :rtype: list[dict[str, Any]] | None + """ + if assembly_id == INVALID_ID: + err_msg = f"Some error message involving {INVALID_ID}." + raise ValueError(err_msg) + return original_get_annotation_report(assembly_id) + + with mock.patch( + "cdm_data_loaders.pipelines.ncbi_rest_api.get_annotation_report", + side_effect=patched_get_annotation_report, + ): + output = get_assembly_reports(ALL_IDS) + assert output == { DATASET: dict.fromkeys(ALL_IDS), ANNOTATION: dict.fromkeys(ALL_IDS), ERROR: [ - { - "assembly_id": None, - "assembly_id_list": ALL_IDS, - "error_class": "HTTPError", - "error_from": "dataset_report", - "message": '404 Client Error: Not Found for url: https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1%2CGCF_000003135.1%2Cinvalid_id/dataset_report?page_size=1000\nResponse: {"error":"Not Found","code":404,"message":"Your request is invalid. (For more help, see the NCBI Datasets Documentation at https://www.ncbi.nlm.nih.gov/datasets/docs/)"}\n', - "request_url": "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1%2CGCF_000003135.1%2Cinvalid_id/dataset_report?page_size=1000", - "status": 404, - "reason": "Not Found", - }, - { - "assembly_id": ID_WITH_500_ANNOTS, - "assembly_id_list": None, - "error_class": "HTTPError", - "error_from": "annotation_report", - "message": '404 Client Error: Not Found for url: https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1/annotation_report?page_size=1000\nResponse: {"error":"Not Found","code":404,"message":"Your request is invalid. (For more help, see the NCBI Datasets Documentation at https://www.ncbi.nlm.nih.gov/datasets/docs/)"}\n', - "request_url": "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000007725.1/annotation_report?page_size=1000", - "status": 404, - "reason": "Not Found", - }, - { - "assembly_id": ID_WITH_2K_ANNOTS, - "assembly_id_list": None, - "error_class": "HTTPError", - "error_from": "annotation_report", - "message": '500 Server Error: Internal Server Error for url: https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000003135.1/annotation_report?page_size=1000&page_token=eNrjYos2NDAwjAUABagBiw\nResponse: {"error":"Internal Server Error","code":500,"message":"Internal Server Error (For more help, see the NCBI Datasets Documentation at https://www.ncbi.nlm.nih.gov/datasets/docs/) (1D32DF2AAA9FBB1500003B3C46C243D3.1.1)"}\n', - "request_url": "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCF_000003135.1/annotation_report?page_size=1000&page_token=eNrjYos2NDAwjAUABagBiw", - "status": 500, - "reason": "Internal Server Error", - }, + RECORDED_ERRORS["dataset_404"], + RECORDED_ERRORS["annotation_report_404"], + RECORDED_ERRORS["annotation_report_500"], + RECORDED_ERRORS["value_error"], ], } @@ -519,6 +506,169 @@ def test_get_assembly_reports_total_wipeout() -> None: @pytest.mark.skip("FIXME: not working, possibly due to parallelization?") @pytest.mark.vcr def test_get_assembly_report_parser_with_cassette(assembly_ids: list[str], tmp_path: Path) -> None: - with patch("dlt.mark") as mock_dlt_mark: - config = Settings.model_validate({"input_dir": "tests/data/ncbi_rest_api/input", "output": str(tmp_path)}) - run_ncbi_pipeline(config) + with patch("dlt.mark"): + settings: NcbiSettings = make_settings_autofill_config( + NcbiSettings, input_dir="tests/data/ncbi_rest_api/input", output=str(tmp_path) + ) # type: ignore[reportAssignmentType] + run_ncbi_pipeline(settings) + + +def collect_results(reports: dict) -> dict[str, list]: + """Drain the generator returned by assemble_assembly_reports into a dict keyed by table name.""" + results: dict[str, list] = {} + for item in assemble_assembly_reports(reports): + assert isinstance(item, DataItemWithMeta), f"Expected DataItemWithMeta, got {type(item)}" + table_name = item.meta.table_name + results.setdefault(table_name, []) + results[table_name].extend(item.data) + return results + + +# assemble_assembly_reports tests + +DATASET_REPORT_1 = { + "accession": ID_WITH_2K_ANNOTS, + "organism": {"tax_id": 9606, "organism_name": "Homo sapiens"}, + "assembly_stats": {"total_sequence_length": 3099734149}, +} + +DATASET_REPORT_2 = { + "accession": ID_WITH_500_ANNOTS, + "organism": {"tax_id": 10090, "organism_name": "Mus musculus"}, + "assembly_stats": {"total_sequence_length": 2728222451}, +} + +ANNOTATION_REPORT_1 = [ + {"release_date": "2022-01-01", "annotation_name": "Annotation A"}, + {"release_date": "2022-06-01", "annotation_name": "Annotation B"}, +] + +ANNOTATION_REPORT_2 = [ + {"release_date": "2023-01-01", "annotation_name": "Annotation C"}, +] + +ERROR_REPORT = { + "assembly_id": INVALID_ID, + "assembly_id_list": None, + "error_class": "HTTPError", + "error_from": "dataset_report", + "message": "404 Not Found", + "request_url": "https://api.ncbi.nlm.nih.gov/datasets/v2/genome/accession/GCA_000001635.9/dataset_report", + "status": 404, + "reason": "Not Found", +} + + +@pytest.fixture +def full_assembly_reports() -> dict[str, Any]: + """Assembly reports fixture with valid data for two assemblies and no errors.""" + return { + DATASET: { + ID_WITH_2K_ANNOTS: DATASET_REPORT_1, + ID_WITH_500_ANNOTS: DATASET_REPORT_2, + }, + ANNOTATION: { + ID_WITH_2K_ANNOTS: ANNOTATION_REPORT_1, + ID_WITH_500_ANNOTS: ANNOTATION_REPORT_2, + }, + ERROR: [], + } + + +@pytest.fixture +def reports_with_errors() -> dict[str, Any]: + """Assembly reports fixture with one None dataset report, one None annotation report, and one error entry.""" + return { + DATASET: { + ID_WITH_2K_ANNOTS: DATASET_REPORT_1, + ID_WITH_500_ANNOTS: DATASET_REPORT_2, + INVALID_ID: None, + }, + ANNOTATION: { + ID_WITH_2K_ANNOTS: ANNOTATION_REPORT_1, + ID_WITH_500_ANNOTS: ANNOTATION_REPORT_2, + INVALID_ID: None, + }, + ERROR: [ERROR_REPORT], + } + + +EXPECTED_DB_TABLES = { + f"{DATASET}_report": [ + {"assembly_id": ID_WITH_2K_ANNOTS, **DATASET_REPORT_1}, + { + "assembly_id": ID_WITH_500_ANNOTS, + **DATASET_REPORT_2, + }, + ], + f"{ANNOTATION}_report": [ + {"assembly_id": ID_WITH_2K_ANNOTS, **ANNOTATION_REPORT_1[0]}, + {"assembly_id": ID_WITH_2K_ANNOTS, **ANNOTATION_REPORT_1[1]}, + {"assembly_id": ID_WITH_500_ANNOTS, **ANNOTATION_REPORT_2[0]}, + ], +} + +EXPECTED_DB_TABLES_WITH_ERROR = { + f"{DATASET}_report": [*EXPECTED_DB_TABLES[f"{DATASET}_report"], {"assembly_id": INVALID_ID}], + f"{ANNOTATION}_report": [*EXPECTED_DB_TABLES[f"{ANNOTATION}_report"]], + "ncbi_import_error": [ERROR_REPORT], +} + + +@pytest.mark.parametrize("reports", [{}, None]) +def test_assemble_assembly_reports_empty_dict_yields_nothing(reports: None | dict[str, Any]) -> None: + """Ensure that empty or None as input produces no output items.""" + assert list(assemble_assembly_reports(reports)) == [] # type: ignore[reportArgumentType] + + +def test_assemble_assembly_reports_yields_two_items_when_no_errors(full_assembly_reports: dict[str, Any]) -> None: + """When the error list is empty, the generator should yield only two DataItemWithMeta objects.""" + assert len(list(assemble_assembly_reports(full_assembly_reports))) == 2 + + +def test_assemble_assembly_reports_all_items_are_data_item_with_meta(full_assembly_reports: dict[str, Any]) -> None: + """Every item yielded by the generator should be a DataItemWithMeta instance.""" + for item in assemble_assembly_reports(full_assembly_reports): + assert isinstance(item, DataItemWithMeta) + + +def test_assemble_assembly_reports_table_names_when_errors_present(reports_with_errors: dict[str, Any]) -> None: + """The output should contain dataset_report, annotation_report, and ncbi_import_error table names.""" + results = collect_results(reports_with_errors) + assert set(results) == {"dataset_report", "annotation_report", "ncbi_import_error"} + assert results == EXPECTED_DB_TABLES_WITH_ERROR + + +def test_assemble_assembly_reports_no_error_table_when_error_list_empty(full_assembly_reports: dict[str, Any]) -> None: + """When the error list is empty, no ncbi_import_error table should be present in the output.""" + results = collect_results(full_assembly_reports) + assert set(results) == {"dataset_report", "annotation_report"} + assert results == EXPECTED_DB_TABLES + + +def test_assemble_assembly_reports_dataset_report_none_report_emits_row_with_only_assembly_id() -> None: + """A None dataset report should still produce a row containing only the assembly_id key.""" + reports = { + DATASET: {INVALID_ID: None}, + ANNOTATION: {INVALID_ID: None}, + ERROR: [], + } + results = collect_results(reports) + # no ncbi_import_error or annotation_report + assert results["dataset_report"] == [{"assembly_id": INVALID_ID}] + + +def test_assemble_assembly_reports_multiple_errors_all_yielded() -> None: + """All entries in the error list should appear as individual rows in the ncbi_import_error table.""" + errors = [ + {"error_class": "HTTPError", "error_from": "dataset_report", "message": "err1"}, + {"error_class": "ValueError", "error_from": "annotation_report", "message": "err2"}, + ] + reports = { + DATASET: {}, + ANNOTATION: {}, + ERROR: errors, + } + results = collect_results(reports) + assert results["ncbi_import_error"] == errors + assert set(results) == {"ncbi_import_error"} diff --git a/tests/pipelines/test_uniprot.py b/tests/pipelines/test_uniprot.py index af746fac..56e3028b 100644 --- a/tests/pipelines/test_uniprot.py +++ b/tests/pipelines/test_uniprot.py @@ -1,4 +1,4 @@ -"""Tests for the UniProtDLT pipeline.""" +"""Tests for the UniProt DLT pipeline.""" import datetime from collections.abc import Callable @@ -7,163 +7,158 @@ from unittest.mock import MagicMock, patch import pytest -from pydantic import ValidationError +from frozendict import frozendict from pydantic_settings import CliApp from cdm_data_loaders.parsers.uniprot.uniprot_kb import ENTRY_XML_TAG +from cdm_data_loaders.pipelines import core from cdm_data_loaders.pipelines import uniprot_kb as uniprot_module -from cdm_data_loaders.pipelines.cts_defaults import INPUT_MOUNT, VALID_DESTINATIONS +from cdm_data_loaders.pipelines.cts_defaults import ARG_ALIASES from cdm_data_loaders.pipelines.uniprot_kb import ( UNIPROT_LOG_INTERVAL, - Settings, + UniProtSettings, cli, parse_uniprot, run_uniprot_pipeline, ) -from tests.pipelines.conftest import make_batcher +from tests.pipelines.conftest import ( + TEST_BATCH_FILE_SETTINGS, + TEST_BATCH_FILE_SETTINGS_RECONCILED, + check_settings, + make_batcher, + make_settings_autofill_config, +) # TODO: add a test to ensure that parse_uniprot_entry is called with the appropriate args. Requires mocking the file batcher and stream_xml_file_resource functions. -@pytest.fixture -def config() -> Settings: - """Provide a minimal valid Settings object.""" - return make_settings(input_dir="/fake/input") - - -START_AT_VALUE = 50 -START_AT_STRING = "50" +@pytest.fixture(autouse=True) +def patch_dlt_config(dlt_config: dict[str, Any], monkeypatch: pytest.MonkeyPatch) -> None: + """Monkeypatch the dlt config in all tests.""" + monkeypatch.setattr(core.dlt, "config", dlt_config) -def make_settings(**kwargs: str | int) -> Settings: - """Generate a validated Settings object.""" - return Settings.model_validate(kwargs) - +@pytest.fixture +def test_settings() -> UniProtSettings: + """Provide a minimal valid UniProtSettings object.""" + return make_settings_autofill_config(UniProtSettings) # type: ignore[reportReturnType] -def test_settings_defaults() -> None: - """Ensure the settings defaults are set up correctly.""" - s = make_settings() - assert s.destination == "local_fs" - assert s.start_at == 0 - assert s.output is None - assert s.input_dir == INPUT_MOUNT +TEST_SETTINGS = frozendict( + **TEST_BATCH_FILE_SETTINGS, +) -def test_settings_all_params_set() -> None: - """Ensure that settings are set correctly when all args are specified.""" - s = make_settings( - input_dir="/dir/path", - destination=VALID_DESTINATIONS[0], - start_at=START_AT_STRING, - output="/some/dir", - ) - assert s.input_dir == "/dir/path" - assert s.destination == VALID_DESTINATIONS[0] - assert s.start_at == START_AT_VALUE - assert s.output == "/some/dir" +TEST_SETTINGS_RECONCILED = frozendict( + **TEST_BATCH_FILE_SETTINGS_RECONCILED, +) -@pytest.mark.parametrize("destination", VALID_DESTINATIONS) -def test_settings_valid_variants_accepted(destination: str) -> None: - """Ensure that each valid destination value is accepted without error.""" - s = make_settings(destination=destination) - assert s.destination == destination +def test_make_settings_all_params_set() -> None: + """Ensure that settings are set correctly when all args are specified. + Note that TEST_SETTINGS includes a value for pipeline_dir. + """ + s = make_settings_autofill_config(UniProtSettings, **TEST_SETTINGS) # type: ignore[reportReturnType] + check_settings(s, TEST_SETTINGS_RECONCILED) -@pytest.mark.parametrize("bad", ["gcs", "filesystem", "", "LocalFs"]) -def test_invalid_destination_raises(bad: str) -> None: - """Ensure that an unrecognised destination raises a ValidationError.""" - with pytest.raises(ValidationError, match="destination must be one of"): - make_settings(destination=bad) +@pytest.mark.parametrize("dev_mode", ARG_ALIASES["dev_mode"]) +@pytest.mark.parametrize("input_dir", ARG_ALIASES["input_dir"]) +@pytest.mark.parametrize("output", ARG_ALIASES["output"]) +@pytest.mark.parametrize("start_at", ARG_ALIASES["start_at"]) +@pytest.mark.parametrize("use_destination", ARG_ALIASES["use_destination"]) +@pytest.mark.parametrize( + "use_output_dir_for_pipeline_metadata", + ARG_ALIASES["use_output_dir_for_pipeline_metadata"], +) +def test_cli_app_run_alt_settings( # noqa: PLR0913 + dev_mode: str, + input_dir: str, + output: str, + start_at: str, + use_destination: str, + use_output_dir_for_pipeline_metadata: str, + dlt_config: dict[str, Any], +) -> None: + """Test all the variants of the UniProtSettings fields.""" + cli_args = [ + dev_mode, + TEST_SETTINGS["dev_mode"], + input_dir, + TEST_SETTINGS["input_dir"], + output, + TEST_SETTINGS["output"], + start_at, + TEST_SETTINGS["start_at"], + use_destination, + TEST_SETTINGS["use_destination"], + use_output_dir_for_pipeline_metadata, + TEST_SETTINGS["use_output_dir_for_pipeline_metadata"], + ] -@pytest.mark.parametrize("input_dir", ["-i", "--input-dir", "--input_dir"]) -@pytest.mark.parametrize("destination", ["-d", "--destination"]) -@pytest.mark.parametrize("start_at", ["-s", "--start-at", "--start_at"]) -@pytest.mark.parametrize("output", ["-o", "--output"]) -def test_cli_all_variants(input_dir: str, destination: str, start_at: str, output: str) -> None: - """Test all the variants of the Settings fields.""" s = CliApp.run( - Settings, - [ - input_dir, - "/dir/path", - destination, - VALID_DESTINATIONS[0], - start_at, - START_AT_STRING, - output, - "/some/dir", - ], + UniProtSettings, + dlt_config=dlt_config, + cli_args=cli_args, ) - assert s.input_dir == "/dir/path" - assert s.destination == VALID_DESTINATIONS[0] - assert s.start_at == START_AT_VALUE - assert s.output == "/some/dir" - - -@pytest.mark.parametrize("bad", ["gcs", "filesystem", "", "LocalFs"]) -def test_cli_invalid_destination_via_cli_raises(bad: str) -> None: - """Ensure that an invalid destination passed via CLI raises an error.""" - with pytest.raises(ValidationError, match="Value error, destination must be one of"): - CliApp.run(Settings, cli_args=["--destination", bad]) + check_settings(s, TEST_SETTINGS_RECONCILED) def test_cli_passes_settings_class_to_run_cli() -> None: - """Ensure that cli() calls run_cli with Settings as the settings class.""" + """Ensure that cli() calls run_cli with UniProtSettings as the settings class.""" with patch.object(uniprot_module, "run_cli") as mock_run_cli: cli() mock_run_cli.assert_called_once() - assert mock_run_cli.call_args[0] == (Settings, run_uniprot_pipeline) + assert mock_run_cli.call_args[0] == (UniProtSettings, run_uniprot_pipeline) -def test_cli_calls_run_uniprot_pipeline(monkeypatch: pytest.MonkeyPatch) -> None: - """Ensure that cli() calls run_uniprot_pipeline with the config.""" - mock_settings_instance = MagicMock(spec=Settings) +def test_cli_calls_run_uniprot_pipeline(monkeypatch: pytest.MonkeyPatch, dlt_config: dict[str, Any]) -> None: + """Ensure that cli() calls run_uniprot_pipeline with the test_settings.""" + mock_settings_instance = MagicMock() mock_settings_cls = MagicMock(return_value=mock_settings_instance) mock_run_uniprot_pipeline = MagicMock() - monkeypatch.setattr(uniprot_module, "Settings", mock_settings_cls) + monkeypatch.setattr(uniprot_module, "UniProtSettings", mock_settings_cls) monkeypatch.setattr(uniprot_module, "run_uniprot_pipeline", mock_run_uniprot_pipeline) cli() - mock_settings_cls.assert_called_once_with() + mock_settings_cls.assert_called_once_with(dlt_config=dlt_config) mock_run_uniprot_pipeline.assert_called_once_with(mock_settings_instance) # Tests for running the pipeline itself -def test_run_uniprot_pipeline_args_set_correctly(config: Settings) -> None: +def test_run_uniprot_pipeline_args_set_correctly(test_settings: UniProtSettings) -> None: """Ensure that the pipeline arguments are set correctly, and each pipeline has a different name.""" with patch.object(uniprot_module, "run_pipeline") as mock_run_pipeline: - run_uniprot_pipeline(config) + run_uniprot_pipeline(test_settings) assert mock_run_pipeline.call_count == 1 _, kwargs = mock_run_pipeline.call_args - assert kwargs.keys() == {"config", "resource", "pipeline_kwargs", "pipeline_run_kwargs"} + assert kwargs.keys() == {"settings", "resource", "pipeline_kwargs", "pipeline_run_kwargs"} assert kwargs["pipeline_kwargs"] == {"pipeline_name": "uniprot_kb", "dataset_name": "uniprot_kb"} assert kwargs["pipeline_run_kwargs"] == {"table_format": "delta"} - assert kwargs["config"] == config + assert kwargs["settings"] == test_settings assert isinstance(kwargs["resource"], Callable) def test_run_uniprot_pipeline_sets_core_run_pipeline_args_correctly( - config: Settings, mock_dlt: MagicMock, monkeypatch: pytest.MonkeyPatch + test_settings: UniProtSettings, mock_dlt: MagicMock, monkeypatch: pytest.MonkeyPatch ) -> None: """Ensure that run_uniprot_pipeline calls core.run_pipeline with the correct args.""" mock_parse_uniprot = MagicMock() monkeypatch.setattr(uniprot_module, "parse_uniprot", mock_parse_uniprot) - run_uniprot_pipeline(config) + run_uniprot_pipeline(test_settings) - # parse_uniprot was called once with the config to produce the resource - mock_parse_uniprot.assert_called_once_with(config) + # parse_uniprot was called once with the test_settings to produce the resource + mock_parse_uniprot.assert_called_once_with(test_settings) - # the return value of parse_uniprot(config) is what gets passed to pipeline.run + # the return value of parse_uniprot(test_settings) is what gets passed to pipeline.run expected_resource = mock_parse_uniprot.return_value - mock_dlt.destination.assert_called_once_with(config.destination) + mock_dlt.destination.assert_called_once_with(test_settings.use_destination) mock_dlt.pipeline.assert_called_once_with( destination=mock_dlt.destination.return_value, pipeline_name="uniprot_kb", @@ -175,24 +170,24 @@ def test_run_uniprot_pipeline_sets_core_run_pipeline_args_correctly( ) -def test_parse_uniprot_resource(config: Settings) -> None: +def test_parse_uniprot_resource(test_settings: UniProtSettings) -> None: """Ensure that parse_uniprot calls stream_xml_file_resource with the namespaced UniProt XML tag.""" with patch.object(uniprot_module, "stream_xml_file_resource") as mock_stream: mock_stream.return_value = iter([]) - list(parse_uniprot(config)) + list(parse_uniprot(test_settings)) assert mock_stream.call_count == 1 kwargs = mock_stream.call_args.kwargs - assert kwargs.keys() == {"config", "xml_tag", "parse_fn", "log_interval"} + assert kwargs.keys() == {"settings", "xml_tag", "parse_fn", "log_interval"} assert kwargs["xml_tag"] == ENTRY_XML_TAG assert kwargs["log_interval"] == UNIPROT_LOG_INTERVAL - assert kwargs["config"] == config + assert kwargs["settings"] == test_settings assert isinstance(kwargs["parse_fn"], Callable) @pytest.mark.skip("FIXME: not working -- due to parallelization?") def test_integration_cli_uniprot_pipeline_output_validated( - config: Settings, # the uniprot_kb Settings fixture + test_settings: UniProtSettings, # the uniprot_kb UniProtSettings fixture fake_files: list[Path], mock_dlt: MagicMock, patched_io: tuple[MagicMock, MagicMock], @@ -223,16 +218,17 @@ def fake_parse_uniprot_entry( # make pipeline.run actually drain the generator so all assertions fire mock_dlt.pipeline.return_value.run.side_effect = lambda resource, **_: list(resource) - # exercise the real cli() wiring with Settings construction mocked out - monkeypatch.setattr(uniprot_module, "Settings", MagicMock(return_value=config)) + # exercise the real cli() wiring with UniProtSettings construction mocked out + monkeypatch.setattr(uniprot_module, "UniProtSettings", MagicMock(return_value=test_settings)) cli() mock_dlt.pipeline.assert_called_once_with( pipeline_name="uniprot_kb", destination=mock_dlt.destination.return_value, dataset_name="uniprot_kb", + dev_mode=False, ) - mock_dlt.destination.assert_called_once_with(config.destination) + mock_dlt.destination.assert_called_once_with(test_settings.use_destination) mock_dlt.pipeline.return_value.run.assert_called_once() # verify with_table_name received the right rows and table names for every file, in order diff --git a/tests/pipelines/test_uniref.py b/tests/pipelines/test_uniref.py index da5899ec..fe9deb68 100644 --- a/tests/pipelines/test_uniref.py +++ b/tests/pipelines/test_uniref.py @@ -1,4 +1,4 @@ -"""Tests for the uniref DLT pipeline.""" +"""Tests for the UniRef DLT pipeline.""" import datetime from collections.abc import Callable @@ -7,14 +7,29 @@ from unittest.mock import MagicMock, patch import pytest +from frozendict import frozendict from pydantic import ValidationError from pydantic_settings import CliApp from cdm_data_loaders.parsers.uniprot.uniref import ENTRY_XML_TAG, UNIREF_VARIANTS +from cdm_data_loaders.pipelines import core from cdm_data_loaders.pipelines import uniref as uniref_module -from cdm_data_loaders.pipelines.cts_defaults import INPUT_MOUNT, VALID_DESTINATIONS -from cdm_data_loaders.pipelines.uniref import UNIREF_LOG_INTERVAL, Settings, cli, parse_uniref, run_uniref_pipeline -from tests.pipelines.conftest import make_batcher +from cdm_data_loaders.pipelines.cts_defaults import ARG_ALIASES +from cdm_data_loaders.pipelines.uniref import ( + UNIREF_LOG_INTERVAL, + UNIREF_VARIANT_ALIASES, + UnirefSettings, + cli, + parse_uniref, + run_uniref_pipeline, +) +from tests.pipelines.conftest import ( + TEST_BATCH_FILE_SETTINGS, + TEST_BATCH_FILE_SETTINGS_RECONCILED, + check_settings, + make_batcher, + make_settings_autofill_config, +) # TODO: add a test to ensure that parse_uniref_entry is called with the appropriate args. Requires mocking the file batcher and stream_xml_file_resource functions. @@ -25,10 +40,21 @@ TEST_DEFAULT_UNIREF_VARIANT = "50" -def make_settings(uniref_variant: str = TEST_DEFAULT_UNIREF_VARIANT, **kwargs: str | int) -> Settings: - """Generate a validated Settings object.""" - data = {"uniref": uniref_variant, **kwargs} - return Settings.model_validate(data) +TEST_SETTINGS = frozendict( + **TEST_BATCH_FILE_SETTINGS, + uniref_variant=TEST_DEFAULT_UNIREF_VARIANT, +) + +TEST_SETTINGS_RECONCILED = frozendict( + **TEST_BATCH_FILE_SETTINGS_RECONCILED, + uniref_variant=TEST_DEFAULT_UNIREF_VARIANT, +) + + +@pytest.fixture(autouse=True) +def patch_dlt_config(dlt_config: dict[str, Any], monkeypatch: pytest.MonkeyPatch) -> None: + """Monkeypatch the dlt config in all tests.""" + monkeypatch.setattr(core.dlt, "config", dlt_config) @pytest.fixture(params=UNIREF_VARIANTS) @@ -38,183 +64,204 @@ def variant(request: pytest.FixtureRequest) -> str: @pytest.fixture -def config(variant: str) -> Settings: - """A valid Settings object for each uniref variant.""" - return make_settings(uniref_variant=variant, input_dir="/fake/input") - - -def test_settings_defaults() -> None: - """Ensure the settings defaults are set up correctly.""" - s = make_settings() - assert s.destination == "local_fs" - assert s.start_at == 0 - assert s.output is None - assert s.input_dir == INPUT_MOUNT - assert s.uniref_variant == TEST_DEFAULT_UNIREF_VARIANT - - -def test_settings_all_params_set() -> None: - """Ensure that settings are set correctly when all args are specified.""" - s = make_settings( - input_dir="/dir/path", - destination=VALID_DESTINATIONS[0], - uniref_variant="100", - start_at=START_AT_STRING, - output="/some/dir", - ) - assert s.input_dir == "/dir/path" - assert s.destination == VALID_DESTINATIONS[0] - assert s.uniref_variant == "100" - assert s.start_at == START_AT_VALUE - assert s.output == "/some/dir" +def test_settings(variant: str) -> UnirefSettings: + """A valid UnirefSettings object for each uniref variant.""" + return make_settings_autofill_config(UnirefSettings, uniref_variant=variant, input_dir="/fake/input") # type: ignore[reportReturnType] -@pytest.mark.parametrize("destination", VALID_DESTINATIONS) -@pytest.mark.parametrize("uniref_variant", UNIREF_VARIANTS) -def test_settings_valid_variants_accepted(uniref_variant: str, destination: str) -> None: +@pytest.mark.parametrize("variant", UNIREF_VARIANTS) +def test_settings_valid_variants_accepted(variant: str) -> None: """Ensure that each valid uniref_variant value is accepted without error.""" - s = make_settings(uniref_variant=uniref_variant, destination=destination) - assert s.uniref_variant == uniref_variant - assert s.destination == destination + s = make_settings_autofill_config(UnirefSettings, uniref_variant=variant) + assert isinstance(s, UnirefSettings) + assert s.uniref_variant == variant -@pytest.mark.parametrize("bad_variant", ["25", "75", "uniref50", "", "ALL"]) -def test_invalid_variant_raises(bad_variant: str) -> None: - """Ensure that an unrecognised uniref_variant raises a ValidationError.""" - with pytest.raises(ValidationError, match="uniref_variant must be one of"): - make_settings(uniref_variant=bad_variant) - +@pytest.mark.parametrize("value", UNIREF_VARIANTS) +@pytest.mark.parametrize("uniref_variant", UNIREF_VARIANT_ALIASES) +def test_cli_valid_variants_accepted(uniref_variant: str, dlt_config: dict[str, Any], value: str) -> None: + """Ensure that each valid uniref_variant value is accepted without error when passed via CLI.""" + s = CliApp.run(UnirefSettings, dlt_config=dlt_config, cli_args=[uniref_variant, value]) + assert isinstance(s, UnirefSettings) + assert s.uniref_variant == value -@pytest.mark.parametrize("bad_destination", ["gcs", "filesystem", "", "LocalFs"]) -def test_invalid_destination_raises(bad_destination: str) -> None: - """Ensure that an unrecognised destination raises a ValidationError.""" - with pytest.raises(ValidationError, match="destination must be one of"): - make_settings(destination=bad_destination) +@pytest.mark.parametrize("value", ["25", "75", "uniref50", "", "ALL"]) +def test_invalid_variant_raises(value: str) -> None: + """Ensure that an unrecognised uniref_variant raises a ValidationError.""" + with pytest.raises(ValidationError, match="1 validation error for UnirefSettings") as exc_info: + make_settings_autofill_config(UnirefSettings, uniref_variant=value) -@pytest.mark.parametrize("input_dir", ["-i", "--input-dir", "--input_dir"]) -@pytest.mark.parametrize("destination", ["-d", "--destination"]) -@pytest.mark.parametrize("uniref_variant", ["-u", "--uniref", "--uniref-variant", "--uniref_variant"]) -@pytest.mark.parametrize("start_at", ["-s", "--start-at", "--start_at"]) -@pytest.mark.parametrize("output", ["-o", "--output"]) -def test_cli_all_variants(input_dir: str, destination: str, uniref_variant: str, start_at: str, output: str) -> None: - """Test all the variants of the Settings fields.""" - s = CliApp.run( - Settings, - [ - input_dir, - "/dir/path", - destination, - VALID_DESTINATIONS[0], - uniref_variant, - TEST_DEFAULT_UNIREF_VARIANT, - start_at, - START_AT_STRING, - output, - "/some/dir", - ], - ) - assert s.input_dir == "/dir/path" - assert s.destination == VALID_DESTINATIONS[0] - assert s.uniref_variant == TEST_DEFAULT_UNIREF_VARIANT - assert s.start_at == START_AT_VALUE - assert s.output == "/some/dir" + exc_message = str(exc_info.value) + assert "uniref_variant must be one of" in exc_message -@pytest.mark.parametrize("bad_variant", ["25", "75", "uniref50", "", "ALL"]) -def test_cli_invalid_variant_via_cli_raises(bad_variant: str) -> None: +@pytest.mark.parametrize("value", ["25", "75", "uniref50", "", "ALL"]) +@pytest.mark.parametrize("uniref_variant", UNIREF_VARIANT_ALIASES) +def test_cli_invalid_variant_via_cli_raises(value: str, uniref_variant: str, dlt_config: dict[str, Any]) -> None: """Ensure that an invalid uniref_variant passed via CLI raises an error.""" - with pytest.raises(ValidationError, match="Value error, uniref_variant must be one of"): - CliApp.run(Settings, cli_args=["--uniref-variant", bad_variant]) + # with pytest.raises(ValidationError, match="Value error, uniref_variant must be one of"): + with pytest.raises(ValidationError, match="1 validation error for UnirefSettings") as exc_info: + CliApp.run(UnirefSettings, dlt_config=dlt_config, cli_args=[uniref_variant, value]) + + exc_message = str(exc_info.value) + assert "Value error, uniref_variant must be one of" in exc_message -@pytest.mark.parametrize("bad_destination", ["25", "75", "uniref50", "", "ALL"]) -def test_cli_invalid_destination_via_cli_raises(bad_destination: str) -> None: - """Ensure that an invalid destination passed via CLI raises an error.""" - with pytest.raises(ValidationError, match="Value error, destination must be one of"): - CliApp.run(Settings, cli_args=["--uniref-variant", "50", "--destination", bad_destination]) +def test_missing_required_uniref_variant_raises() -> None: + """Ensure that omitting the required uniref_variant argument raises a ValidationError.""" + with pytest.raises(ValidationError, match="1 validation error for UnirefSettings") as exc_info: + make_settings_autofill_config(UnirefSettings) + + exc_message = str(exc_info.value) + assert "Field required" in exc_message -def test_cli_missing_required_uniref_variant_raises() -> None: +def test_cli_missing_required_uniref_variant_raises(dlt_config: dict[str, Any]) -> None: """Ensure that omitting the required uniref_variant argument raises an error.""" - with pytest.raises(ValidationError, match="Field required"): - CliApp.run(Settings, cli_args=[]) + with pytest.raises(ValidationError, match="1 validation error for UnirefSettings") as exc_info: + CliApp.run(UnirefSettings, dlt_config=dlt_config, cli_args=[]) + exc_message = str(exc_info.value) + assert "Field required" in exc_message -@pytest.mark.parametrize("bad_variant", ["25", "75", "uniref50", "", "ALL"]) -@pytest.mark.parametrize("bad_destination", ["gcs", "filesystem", "", "LocalFs"]) -def test_cli_invalid_variant_and_destination_via_cli_raises(bad_variant: str, bad_destination: str) -> None: - """Ensure that invalid uniref_variant and destination passed via CLI raises an error with both errors.""" - with pytest.raises(ValidationError, match="2 validation errors for Settings") as exc_info: - CliApp.run(Settings, cli_args=["--uniref-variant", bad_variant, "--destination", bad_destination]) + +@pytest.mark.parametrize("value", ["25", "75", "uniref50", "", "ALL"]) +@pytest.mark.parametrize("uniref_variant", UNIREF_VARIANT_ALIASES) +def test_cli_invalid_variant_and_destination_via_cli_raises( + value: str, uniref_variant: str, dlt_config: dict[str, Any] +) -> None: + """Ensure that invalid uniref_variant and use_destination passed via CLI raises an error with both errors. + + N.b. Pydantic only reports the first error!!! + """ + with pytest.raises(ValidationError, match="1 validation error for UnirefSettings") as exc_info: + CliApp.run( + UnirefSettings, + dlt_config=dlt_config, + cli_args=[uniref_variant, value, "--use_destination", "some invalid destination"], + ) # Check that both errors are present in the exception message exc_message = str(exc_info.value) assert "Value error, uniref_variant must be one of" in exc_message - assert "Value error, destination must be one of" in exc_message + + +def test_make_settings_all_params_set() -> None: + """Ensure that settings are set correctly when all args are specified. + + Note that TEST_SETTINGS includes a value for pipeline_dir. + """ + s = make_settings_autofill_config(UnirefSettings, **TEST_SETTINGS) + check_settings(s, TEST_SETTINGS_RECONCILED) + + +@pytest.mark.parametrize("dev_mode", ARG_ALIASES["dev_mode"]) +@pytest.mark.parametrize("input_dir", ARG_ALIASES["input_dir"]) +@pytest.mark.parametrize("output", ARG_ALIASES["output"]) +@pytest.mark.parametrize("start_at", ARG_ALIASES["start_at"]) +@pytest.mark.parametrize("uniref_variant", UNIREF_VARIANT_ALIASES) +@pytest.mark.parametrize("use_destination", ARG_ALIASES["use_destination"]) +@pytest.mark.parametrize( + "use_output_dir_for_pipeline_metadata", + ARG_ALIASES["use_output_dir_for_pipeline_metadata"], +) +def test_cli_app_run_alt_settings( # noqa: PLR0913 + dev_mode: str, + input_dir: str, + output: str, + start_at: str, + uniref_variant: str, + use_destination: str, + use_output_dir_for_pipeline_metadata: str, + dlt_config, +) -> None: + """Test all the variants of the UnirefSettings fields.""" + cli_args = [ + dev_mode, + TEST_SETTINGS["dev_mode"], + input_dir, + TEST_SETTINGS["input_dir"], + output, + TEST_SETTINGS["output"], + start_at, + TEST_SETTINGS["start_at"], + uniref_variant, + TEST_SETTINGS["uniref_variant"], + use_destination, + TEST_SETTINGS["use_destination"], + use_output_dir_for_pipeline_metadata, + TEST_SETTINGS["use_output_dir_for_pipeline_metadata"], + ] + + s = CliApp.run( + UnirefSettings, + dlt_config=dlt_config, + cli_args=cli_args, + ) + check_settings(s, TEST_SETTINGS_RECONCILED) def test_cli_passes_settings_class_to_run_cli() -> None: - """Ensure that cli() calls run_cli with Settings as the settings class.""" + """Ensure that cli() calls run_cli with UnirefSettings as the settings class.""" with patch.object(uniref_module, "run_cli") as mock_run_cli: cli() mock_run_cli.assert_called_once() - assert mock_run_cli.call_args[0] == (Settings, run_uniref_pipeline) + assert mock_run_cli.call_args[0] == (UnirefSettings, run_uniref_pipeline) -def test_cli_calls_run_uniref_pipeline(monkeypatch: pytest.MonkeyPatch) -> None: - """Ensure that cli() calls run_uniref_pipeline with the config.""" - mock_settings_instance = MagicMock(spec=Settings) +def test_cli_calls_run_uniref_pipeline(monkeypatch: pytest.MonkeyPatch, dlt_config: dict[str, Any]) -> None: + """Ensure that cli() calls run_uniref_pipeline with the settings.""" + mock_settings_instance = MagicMock() mock_settings_cls = MagicMock(return_value=mock_settings_instance) mock_run_uniref_pipeline = MagicMock() - monkeypatch.setattr(uniref_module, "Settings", mock_settings_cls) + monkeypatch.setattr(uniref_module, "UnirefSettings", mock_settings_cls) monkeypatch.setattr(uniref_module, "run_uniref_pipeline", mock_run_uniref_pipeline) cli() - # no args - mock_settings_cls.assert_called_once_with() + mock_settings_cls.assert_called_once_with(dlt_config=dlt_config) mock_run_uniref_pipeline.assert_called_once_with(mock_settings_instance) # Tests for running the pipeline itself -def test_run_uniref_pipeline_args_set_correctly(config: Settings) -> None: +def test_run_uniref_pipeline_args_set_correctly(test_settings: UnirefSettings) -> None: """Ensure that the pipeline arguments are set correctly, and each pipeline has a different name.""" with patch.object(uniref_module, "run_pipeline") as mock_run_pipeline: - run_uniref_pipeline(config) + run_uniref_pipeline(test_settings) assert mock_run_pipeline.call_count == 1 _, kwargs = mock_run_pipeline.call_args - assert kwargs.keys() == {"config", "resource", "pipeline_kwargs", "pipeline_run_kwargs"} + assert kwargs.keys() == {"settings", "resource", "pipeline_kwargs", "pipeline_run_kwargs"} assert kwargs["pipeline_kwargs"] == { - "pipeline_name": f"uniref_{config.uniref_variant}", + "pipeline_name": f"uniref_{test_settings.uniref_variant}", "dataset_name": "uniprot_kb", } assert kwargs["pipeline_run_kwargs"] == {"table_format": "delta"} - assert kwargs["config"] == config + assert kwargs["settings"] == test_settings assert isinstance(kwargs["resource"], Callable) def test_run_uniref_pipeline_sets_core_run_pipeline_args_correctly( - config: Settings, mock_dlt: MagicMock, monkeypatch: pytest.MonkeyPatch + test_settings: UnirefSettings, mock_dlt: MagicMock, monkeypatch: pytest.MonkeyPatch ) -> None: """Ensure that run_uniref_pipeline calls core.run_pipeline with the correct args.""" mock_parse_uniref = MagicMock() monkeypatch.setattr(uniref_module, "parse_uniref", mock_parse_uniref) - run_uniref_pipeline(config) + run_uniref_pipeline(test_settings) - # parse_uniref was called once with the config to produce the resource - mock_parse_uniref.assert_called_once_with(config) + # parse_uniref was called once with the settings to produce the resource + mock_parse_uniref.assert_called_once_with(test_settings) - # the return value of parse_uniref(config) is what gets passed to pipeline.run + # the return value of parse_uniref(settings) is what gets passed to pipeline.run expected_resource = mock_parse_uniref.return_value - mock_dlt.destination.assert_called_once_with(config.destination) + mock_dlt.destination.assert_called_once_with(test_settings.use_destination) mock_dlt.pipeline.assert_called_once_with( destination=mock_dlt.destination.return_value, - pipeline_name=f"uniref_{config.uniref_variant}", + pipeline_name=f"uniref_{test_settings.uniref_variant}", dataset_name="uniprot_kb", ) mock_dlt.pipeline.return_value.run.assert_called_once_with( @@ -223,24 +270,24 @@ def test_run_uniref_pipeline_sets_core_run_pipeline_args_correctly( ) -def test_parse_uniref_resource(config: Settings) -> None: +def test_parse_uniref_resource(test_settings: UnirefSettings) -> None: """Ensure that parse_uniref calls stream_xml_file_resource with the namespaced UniRef XML tag.""" with patch.object(uniref_module, "stream_xml_file_resource") as mock_stream: mock_stream.return_value = iter([]) - list(parse_uniref(config)) + list(parse_uniref(test_settings)) assert mock_stream.call_count == 1 kwargs = mock_stream.call_args.kwargs - assert kwargs.keys() == {"config", "xml_tag", "parse_fn", "log_interval"} + assert kwargs.keys() == {"settings", "xml_tag", "parse_fn", "log_interval"} assert kwargs["xml_tag"] == ENTRY_XML_TAG assert kwargs["log_interval"] == UNIREF_LOG_INTERVAL - assert kwargs["config"] == config + assert kwargs["settings"] == test_settings assert isinstance(kwargs["parse_fn"], Callable) @pytest.mark.skip("FIXME: not working -- due to parallelization?") def test_integration_cli_uniref_pipeline_output_validated( - config: Settings, # parametrized over UNIREF_VARIANTS via the existing fixture + test_settings: UnirefSettings, # parametrized over UNIREF_VARIANTS via the existing fixture fake_files: list[Path], mock_dlt: MagicMock, patched_io: tuple[MagicMock, MagicMock], @@ -264,37 +311,37 @@ def fake_parse_uniref_entry( ) -> dict[str, list[Any]]: """Replacement for parse_uniref_entry; validates the injected label.""" assert isinstance(timestamp, datetime.datetime) - assert uniref_variant == f"UniRef {config.uniref_variant}" + assert uniref_variant == f"UniRef {test_settings.uniref_variant}" assert entry == {"stream_xml_file": file_path, "xml_tag": ENTRY_XML_TAG} return {"entry": [entry], "file_path": [file_path]} - def fake_pipeline_run(resource, **kwargs) -> list: + def fake_pipeline_run(resource, **kwargs) -> list: # noqa: ANN001, ANN003 """Fake pipeline run that drains the resource generator to trigger all assertions.""" assert isinstance(resource, Callable) # after draining the generator, resource should be a list - assert resource.name == "parse_uniref" # the resource should be the output of parse_uniref + # the resource should be the output of parse_uniref + assert resource.name == "parse_uniref" assert kwargs == {"table_format": "delta"} - output = list(resource) - return output + return list(resource) mock_stream.side_effect = fake_stream_xml_file monkeypatch.setattr(uniref_module, "parse_uniref_entry", fake_parse_uniref_entry) # make pipeline.run drain the generator so all assertions fire - # mock_dlt.pipeline.return_value.run.side_effect = lambda resource, **_: list(resource) mock_dlt.pipeline.return_value.run.side_effect = fake_pipeline_run - # exercise the real cli() wiring with Settings construction mocked out - monkeypatch.setattr(uniref_module, "Settings", MagicMock(return_value=config)) + # exercise the real cli() wiring with UnirefSettings construction mocked out + monkeypatch.setattr(uniref_module, "UnirefSettings", MagicMock(return_value=test_settings)) # RUN! cli() mock_dlt.pipeline.assert_called_once_with( - pipeline_name=f"uniref_{config.uniref_variant}", - destination=mock_dlt.destination.return_value, + pipeline_name=f"uniref_{test_settings.uniref_variant}", + use_destination=mock_dlt.use_destination.return_value, dataset_name="uniprot_kb", + dev_mode=False, ) - mock_dlt.destination.assert_called_once_with(config.destination) + mock_dlt.use_destination.assert_called_once_with(test_settings.use_destination) mock_dlt.pipeline.return_value.run.assert_called_once() # verify with_table_name received the right rows and table names for every file, in order diff --git a/tests/utils/download/test_clients.py b/tests/utils/download/test_clients.py index 3be2460c..0bc8120b 100644 --- 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