annotate data_source.py @ 0:cc18c3bf2666 draft default tip

planemo upload for repository https://github.com/AquaINFRA/tools-ecology/tree/aquainfra_importer commit 2b586af4c987b6105356736f875d2517b25a8be6

#!/usr/bin/env python
# Retrieves data from external data source applications and
# stores in a dataset file.
#
# Data source application parameters are temporarily stored
# in the dataset file.
import json
import os
import sys
from urllib.parse import urlencode, urlparse
from urllib.request import urlopen

from galaxy.datatypes import sniff
from galaxy.datatypes.registry import Registry
from galaxy.util import (
    DEFAULT_SOCKET_TIMEOUT,
    get_charset_from_http_headers,
    stream_to_open_named_file,
)

GALAXY_PARAM_PREFIX = "GALAXY"
GALAXY_ROOT_DIR = os.path.realpath(
    os.path.join(os.path.dirname(__file__), os.pardir, os.pardir)
)
GALAXY_DATATYPES_CONF_FILE = os.path.join(
    GALAXY_ROOT_DIR, "datatypes_conf.xml"
)


def main():
    if len(sys.argv) >= 3:
        max_file_size = int(sys.argv[2])
    else:
        max_file_size = 0

    with open(sys.argv[1]) as fh:
        params = json.load(fh)

    out_data_name = params["output_data"][0]["out_data_name"]

    URL = params["param_dict"].get("URL", None)
    URL_method = params["param_dict"].get("URL_method", "get")

    datatypes_registry = Registry()
    datatypes_registry.load_datatypes(
        root_dir=params["job_config"]["GALAXY_ROOT_DIR"],
        config=params["job_config"]["GALAXY_DATATYPES_CONF_FILE"],
    )

    for data_dict in params["output_data"]:
        cur_filename = data_dict["file_name"]
        cur_URL = params["param_dict"].get(
            "%s|%s|URL" % (GALAXY_PARAM_PREFIX,
                           data_dict["out_data_name"]), URL
        )
        if not cur_URL or urlparse(cur_URL).scheme not in ("http", "https",
                                                           "ftp"):
            open(cur_filename, "w").write("")
            sys.exit(
                "The remote data source application has not sent "
                "back a URL parameter in the request."
            )

        try:
            if URL_method == "get":
                page = urlopen(cur_URL, timeout=DEFAULT_SOCKET_TIMEOUT)
            elif URL_method == "post":
                param_dict = params["param_dict"]
                page = urlopen(
                    cur_URL,
                    urlencode(param_dict["incoming_request_params"]).encode(
                        "utf-8"
                    ),
                    timeout=DEFAULT_SOCKET_TIMEOUT,
                )
        except Exception as e:
            sys.exit(
                "The remote data source application may "
                "be off line, please try again later. Error: %s"
                % str(e)
            )
        if max_file_size:
            file_size = int(page.info().get("Content-Length", 0))
            if file_size > max_file_size:
                sys.exit(
                    "The requested data size (%d bytes) exceeds the maximum"
                    "allowed size (%d bytes) on this server."
                    % (file_size, max_file_size)
                )
        try:
            cur_filename = stream_to_open_named_file(
                page,
                os.open(
                    cur_filename,
                    os.O_WRONLY | os.O_TRUNC | os.O_CREAT
                ),
                cur_filename,
                source_encoding=get_charset_from_http_headers(page.headers),
            )
        except Exception as e:
            sys.exit("Unable to fetch %s:\n%s" % (cur_URL, e))

        try:
            ext = sniff.handle_uploaded_dataset_file(
                cur_filename, datatypes_registry, ext=data_dict["ext"]
            )
        except Exception as e:
            sys.exit(str(e))

        tool_provided_metadata = {out_data_name: {"ext": ext}}

        with open(
            params["job_config"]["TOOL_PROVIDED_JOB_METADATA_FILE"], "w"
        ) as json_file:
            json.dump(tool_provided_metadata, json_file)


if __name__ == "__main__":
    main()