Retrieve flattened run information for a processed directory from Galaxy nglims API.

def get_runinfo(galaxy_url, galaxy_apikey, run_folder, storedir):
    """Retrieve flattened run information for a processed directory from Galaxy nglims API.
    """
    galaxy_api = GalaxyApiAccess(galaxy_url, galaxy_apikey)
    fc_name, fc_date = flowcell.parse_dirname(run_folder)
    galaxy_info = galaxy_api.run_details(fc_name, fc_date)
    if "error" in galaxy_info:
        return galaxy_info
    if not galaxy_info["run_name"].startswith(fc_date) and not galaxy_info["run_name"].endswith(fc_name):
        raise ValueError("Galaxy NGLIMS information %s does not match flowcell %s %s" %
                         (galaxy_info["run_name"], fc_date, fc_name))
    ldetails = _flatten_lane_details(galaxy_info)
    out = []
    for item in ldetails:
        # Do uploads for all non-controls
        if item["description"] != "control" or item["project_name"] != "control":
            item["upload"] = {"method": "galaxy", "run_id": galaxy_info["run_id"],
                              "fc_name": fc_name, "fc_date": fc_date,
                              "dir": storedir,
                              "galaxy_url": galaxy_url, "galaxy_api_key": galaxy_apikey}
            for k in ["lab_association", "private_libs", "researcher", "researcher_id", "sample_id",
                      "galaxy_library", "galaxy_role"]:
                item["upload"][k] = item.pop(k, "")
        out.append(item)
    return out