github-actions[bot] opened a new issue, #632: URL: https://github.com/apache/incubator-wayang/issues/632
implement tuple types support https://github.com/apache/incubator-wayang/blob/1e0f9e8166225176fe3022de5fbcce3dbcba96b9/python/src/pywy/tests/test_word_count.py#L57 ```python # # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import os import subprocess import time import pytest from importlib import resources from typing import Tuple from typing import Iterable from pywy.dataquanta import WayangContext from pywy.platforms.java import JavaPlugin from pywy.platforms.spark import SparkPlugin from pywy.tests import resources as resources_folder def fm_func(w: str) -> Iterable[str]: return w.split() def filter_func(w: str) -> bool: return w.strip() != "" def map_func(w: str) -> Tuple[str, int]: return (w.lower(), 1) def key_func(t: Tuple[str, int]) -> str: return t[0] def reduce_func(t1: Tuple[str, int], t2: Tuple[str, int]) -> Tuple[str, int]: return (t1[0], int(t1[1]) + int(t2[1])) def sort_func(tup: Tuple[str, int]): return tup[0] @pytest.fixture(scope="session") def config(pytestconfig): return pytestconfig.getoption("config") # TODO: implement tuple types support @pytest.mark.skip(reason="missing implementation for tuple types in operators") def test_wordcount(config): with resources.path(resources_folder, "sample_data.md") as resource_path, \ resources.path(resources_folder, "wordcount_out_python.txt") as output_path, \ resources.path(resources_folder, "wayang.properties") as configuration_file_path: configuration_file_path = config if config is not None else configuration_file_path proc = subprocess.Popen([ f"mvn", f"-q", f"-f", f"wayang-api/wayang-api-json/pom.xml", f"exec:java", f"-Dexec.mainClass=org.apache.wayang.api.json.Main", f"-Dwayang.configuration=file://{configuration_file_path}", f"-Dexec.args=8080"], stdout=subprocess.PIPE, stderr=subprocess.PIPE, env=os.environ.copy(), cwd=os.getcwd()) print(proc.stdout.readline()), print(proc.stdout.readline()), time.sleep(1) # wait for zio to print to output try: # anonymous functions with type hints _ctx = WayangContext() \ .register({JavaPlugin, SparkPlugin}) \ .textfile(f"file://{resource_path}") \ .flatmap(lambda w: w.split(), str, str) \ .filter(lambda w: w.strip() != "", str) \ .map(lambda w: (w.lower(), 1), str, (str, int)) \ .reduce_by_key(lambda t: t[0], lambda t1, t2: (t1[0], int(t1[1]) + int(t2[1])), (str, int)) \ .store_textfile(f"file://{output_path}", (str, int)) # named functions with signatures _ctx = WayangContext() \ .register({JavaPlugin, SparkPlugin}) \ .textfile(f"file://{resource_path}") \ .flatmap(fm_func) \ .filter(filter_func) \ .map(map_func) \ .reduce_by_key(key_func, reduce_func) \ .sort(sort_func) \ .store_textfile(f"file://{output_path}", (str, int)) finally: proc.kill() ``` bb6b0af88acfaae28d3283c07c0a78450bbcaa3e -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
