tags: cofacts, meeting note GA: UA-98468513-3 —

20250310 會議記錄

:::info

:potable_water: Release pipeline

:star: Released to production

:electric_plug: API

LLM transcript follow-up

昨晚我們將之前開發的 LLM-based 逐字稿推到 production 囉。看起來滿好的,不過有些例外 https://cofacts.tw/article/oOgGX5UBYrjt7MSMJFkX 完全無人聲也沒字幕,會變成一般的 video summarization。 如果同一則影片會有非常相近的描述,那代表同一則影片可以被歸類在一起,這樣倒還算不錯? https://cofacts.tw/article/7ui3XpUBYrjt7MSM3Vhq 沒有逐字稿 但至少不再有啥「在網際網路上傳播的影片的逐字稿」、「字幕由 Amara.org 社群提供」了 [name=mrorz]

Langfuse follow-up

Langfuse v3 clickhouse is taking up space:

(2025/3/8 ~4PM)
VOLUME NAME                                                        LINKS               SIZE
answerfamily-deploy_langfuse_clickhouse_data                       1                   11.72GB
answerfamily-deploy_langfuse_clickhouse_logs                       1                   1.881GB
(2025/3/10 ~7PM)
VOLUME NAME                                                        LINKS               SIZE
answerfamily-deploy_langfuse_clickhouse_data                       1                   14.14GB
answerfamily-deploy_langfuse_clickhouse_logs                       1                   1.71GB

–> ~1GB per day……

Clickhouse logs to stderr when disk is full, which is captured by cloud logging:

Even after disk space is freed up, Clickhouse in docker would continue sending log to stderr until it is restarted

Logs in volume:

:::spoiler Log content clickhouse-server.err.log repeatedly complain about memory every second:

clickhouse-server.log 被 error log 洗版 :::

Mitigation

Spam removal 更新

https://cofacts.github.io/community-builder/#/editorworks?type=2&day=365&userId=gOhKQZUBYrjt7MSMEiku&showAll=1 這個外送茶沒被 LLM 抓出來耶 [name=mrorz] comment 沒檢查 [name=nonumpa] 發現這類型的詐騙訊息也有被送進 article 的,不確定是不是“正常” user 傳進來的 https://cofacts.tw/article/ftick91dp54g [name=nonumpa] Bingo https://cofacts.github.io/community-builder/#/editorworks?type=2&day=365&userId=j4S8C_VvVO5-QRczPhyOyfaL-VQU-D1BnonMpo7Ro2HWjjAIg&showAll=1 [name=mrorz] 又出現了,他們好像很認真在巡邏喔? [name=nonumpa]

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