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85 lines
2.3 KiB
Python
85 lines
2.3 KiB
Python
# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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import json
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from mirage.core.slack._client import slack_get, slack_search_available
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from mirage.resource.slack.config import SlackConfig
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def search_available(config: SlackConfig) -> bool:
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return slack_search_available(config)
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async def search_messages(
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config: SlackConfig,
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query: str,
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count: int = 20,
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page: int = 1,
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) -> bytes:
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"""Search messages across workspace (single page).
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Args:
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config (SlackConfig): Slack credentials.
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query (str): search query.
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count (int): results per page (Slack caps at 100).
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page (int): 1-based page number.
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Returns:
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bytes: JSON response.
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"""
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params = {
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"query": query,
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"count": count,
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"page": page,
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"sort": "timestamp",
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}
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data = await slack_get(
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config,
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"search.messages",
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params=params,
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)
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return json.dumps(data, ensure_ascii=False, separators=(",", ":")).encode()
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async def search_files(
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config: SlackConfig,
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query: str,
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count: int = 20,
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page: int = 1,
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) -> bytes:
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"""Search files across workspace via search.files (single page).
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Args:
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config (SlackConfig): Slack credentials.
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query (str): search query.
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count (int): results per page (Slack caps at 100).
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page (int): 1-based page number.
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Returns:
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bytes: JSON response.
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"""
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params = {
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"query": query,
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"count": count,
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"page": page,
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"sort": "timestamp",
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}
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data = await slack_get(
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config,
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"search.files",
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params=params,
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)
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return json.dumps(data, ensure_ascii=False, separators=(",", ":")).encode()
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