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Kaushik Ravichandran
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Nov 16, 2023
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# coding=utf-8 | ||
# Copyright 2018-2023 EvaDB | ||
# | ||
# Licensed 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. | ||
"""hackernews search integration""" |
148 changes: 148 additions & 0 deletions
148
evadb/third_party/databases/hackernews/hackernews_handler.py
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# coding=utf-8 | ||
# Copyright 2018-2023 EvaDB | ||
# | ||
# Licensed 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 github | ||
import pandas as pd | ||
import requests | ||
import json | ||
|
||
from evadb.third_party.databases.hackernews.table_column_info import HACKERNEWS_COLUMNS | ||
from evadb.third_party.databases.types import ( | ||
DBHandler, | ||
DBHandlerResponse, | ||
DBHandlerStatus, | ||
) | ||
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class HackernewsSearchHandler(DBHandler): | ||
connection = lambda x: requests.get("https://www.google.com/").status_code == 200 | ||
def __init__(self, name: str, **kwargs): | ||
""" | ||
Initialize the handler. | ||
Args: | ||
name (str): name of the DB handler instance | ||
**kwargs: arbitrary keyword arguments for establishing the connection. | ||
""" | ||
super().__init__(name) | ||
self.query = kwargs.get("query", "") | ||
self.tags = kwargs.get("tags", "") | ||
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@property | ||
def supported_table(self): | ||
def _hackernews_topics_generator(): | ||
url = "http://hn.algolia.com/api/v1/search?" | ||
url += ("query=" + self.query) | ||
url += ("" if self.tags == "" else "&tags=" + self.tags) | ||
response = requests.get(url) | ||
if (response.status_code != 200): | ||
raise Exception("Could not reach website.") | ||
json_result = response.content | ||
dict_result = json.loads(json_result) | ||
for row in dict_result: | ||
yield { | ||
property_name: row[property_name] | ||
for property_name, _ in HACKERNEWS_COLUMNS | ||
} | ||
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mapping = { | ||
"search_results": { | ||
"columns": HACKERNEWS_COLUMNS, | ||
"generator": _hackernews_topics_generator(), | ||
}, | ||
} | ||
return mapping | ||
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def connect(self): | ||
""" | ||
Set up the connection required by the handler. | ||
Returns: | ||
DBHandlerStatus | ||
""" | ||
return DBHandlerStatus(status=True) | ||
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def disconnect(self): | ||
""" | ||
Close any existing connections. | ||
""" | ||
pass | ||
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def check_connection(self) -> DBHandlerStatus: | ||
""" | ||
Check connection to the handler. | ||
Returns: | ||
DBHandlerStatus | ||
""" | ||
if self.connection(): | ||
return DBHandlerStatus(status=True) | ||
else: | ||
return DBHandlerStatus(status=False, error="Not connected to the internet.") | ||
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def get_tables(self) -> DBHandlerResponse: | ||
""" | ||
Return the list of tables in the database. | ||
Returns: | ||
DBHandlerResponse | ||
""" | ||
if not self.connection(): | ||
return DBHandlerResponse(data=None, error="Not connected to the internet.") | ||
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try: | ||
tables_df = pd.DataFrame( | ||
list(self.supported_table.keys()), columns=["table_name"] | ||
) | ||
return DBHandlerResponse(data=tables_df) | ||
except Exception as e: | ||
return DBHandlerResponse(data=None, error=str(e)) | ||
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def get_columns(self, table_name: str) -> DBHandlerResponse: | ||
""" | ||
Returns the list of columns for the given table. | ||
Args: | ||
table_name (str): name of the table whose columns are to be retrieved. | ||
Returns: | ||
DBHandlerResponse | ||
""" | ||
if not self.connection(): | ||
return DBHandlerResponse(data=None, error="Not connected to the internet.") | ||
try: | ||
columns_df = pd.DataFrame( | ||
self.supported_table[table_name]["columns"], columns=["name", "dtype"] | ||
) | ||
return DBHandlerResponse(data=columns_df) | ||
except Exception as e: | ||
return DBHandlerResponse(data=None, error=str(e)) | ||
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def select(self, table_name: str) -> DBHandlerResponse: | ||
""" | ||
Returns a generator that yields the data from the given table. | ||
Args: | ||
table_name (str): name of the table whose data is to be retrieved. | ||
Returns: | ||
DBHandlerResponse | ||
""" | ||
if not self.connection: | ||
return DBHandlerResponse(data=None, error="Not connected to the database.") | ||
try: | ||
if table_name not in self.supported_table: | ||
return DBHandlerResponse( | ||
data=None, | ||
error="{} is not supported or does not exist.".format(table_name), | ||
) | ||
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return DBHandlerResponse( | ||
data=None, | ||
data_generator=self.supported_table[table_name]["generator"], | ||
) | ||
except Exception as e: | ||
return DBHandlerResponse(data=None, error=str(e)) |
24 changes: 24 additions & 0 deletions
24
evadb/third_party/databases/hackernews/table_column_info.py
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# coding=utf-8 | ||
# Copyright 2018-2023 EvaDB | ||
# | ||
# Licensed 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. | ||
|
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# Autogenerated by ChatGPT from https://github.com/PyGithub/PyGithub/blob/main/github/NamedUser.py | ||
HACKERNEWS_COLUMNS = [ | ||
["title", str], | ||
["url", str], | ||
["author", str], | ||
["points", int], | ||
["story_text", str], | ||
["num_comments", int] | ||
] |
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55 changes: 55 additions & 0 deletions
55
test/integration_tests/long/test_hackernews_datasource .py
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# coding=utf-8 | ||
# Copyright 2018-2023 EvaDB | ||
# | ||
# Licensed 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 unittest | ||
from test.util import get_evadb_for_testing | ||
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import pytest | ||
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from evadb.server.command_handler import execute_query_fetch_all | ||
from evadb.third_party.databases.github.table_column_info import STARGAZERS_COLUMNS | ||
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@pytest.mark.notparallel | ||
class HackernewsDataSourceTest(unittest.TestCase): | ||
def setUp(self): | ||
self.evadb = get_evadb_for_testing() | ||
# reset the catalog manager before running each test | ||
self.evadb.catalog().reset() | ||
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def tearDown(self): | ||
execute_query_fetch_all(self.evadb, "DROP DATABASE IF EXISTS hackernews_data;") | ||
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@pytest.mark.xfail(reason="Flaky testcase due to `bad request` error message") | ||
def test_should_run_select_query_in_github(self): | ||
# Create database. | ||
params = { | ||
"query": "EVADB", | ||
"tags": "story", | ||
} | ||
query = f"""CREATE DATABASE hackernews_data | ||
WITH ENGINE = "hackernews", | ||
PARAMETERS = {params};""" | ||
execute_query_fetch_all(self.evadb, query) | ||
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query = "SELECT * FROM hackernews_data.search_results LIMIT 5;" | ||
batch = execute_query_fetch_all(self.evadb, query) | ||
self.assertEqual(len(batch), 10) | ||
expected_column = list( | ||
["search_results.{}".format(col) for col, _ in STARGAZERS_COLUMNS] | ||
) | ||
self.assertEqual(batch.columns, expected_column) | ||
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if __name__ == "__main__": | ||
unittest.main() |