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Expanded linting rules, added codespell and pip-audit, and fixed all violations.
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This commit is contained in:
LogalDeveloper
2026-02-20 10:30:36 -05:00
parent 0f2f43a55a
commit ee73e36f8e
19 changed files with 645 additions and 189 deletions
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crabstero/messages.py
+7 -10
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@@ -12,11 +12,11 @@
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Assists with generating Discord messages in response to other users and ingesting raw messages.
"""Generate Discord reply messages and ingest raw messages.
Orchestrates Markov chain generation and ingestion in the context of Discord messages, handling
reply logic, embed generation, mention filtering, and message ingestion with flag checks.
Orchestrates Markov chain generation and ingestion in the context of
Discord messages, handling reply logic, embed generation, mention
filtering, and message ingestion with flag checks.
"""
import re
@@ -39,8 +39,7 @@ _EMBED_CHANCE_THRESHOLD = 95 # Out of 100; sends an embed ~5% of the time.
async def reply_to_message(db: Database, message: discord.Message) -> None:
"""
Sends a new message in Discord in response to a given message.
"""Send a new message in Discord in response to a given message.
:param db: The database instance.
:param message: The message prompting the response.
@@ -115,8 +114,7 @@ async def reply_to_message(db: Database, message: discord.Message) -> None:
async def ingest_message(db: Database, message: discord.Message) -> None:
"""
Ingests a given message into its channel's Markov chain.
"""Ingest a given message into its channel's Markov chain.
:param db: The database instance.
:param message: The message to ingest.
@@ -148,8 +146,7 @@ async def ingest_message(db: Database, message: discord.Message) -> None:
async def _ingest_embed(
db: Database, channel_id: int, user_id: int, embed: discord.Embed
) -> None:
"""
Ingests a given embed into a given channel's Markov chain.
"""Ingest a given embed into a given channel's Markov chain.
:param db: The database instance.
:param channel_id: The ID of the channel to use for the Markov chain.