feat: tag-aware daily digest - tags in AI prompt, grouping, frontmatter, cross-day continuity

This commit is contained in:
Beast
2026-06-15 11:27:28 +08:00
parent 01d0aef23f
commit 75586f1fac
2 changed files with 186 additions and 36 deletions

View File

@ -1,12 +1,14 @@
"""Memos API client - fetch memos using Connect RPC protocol."""
import logging
from collections import Counter
from datetime import datetime, timezone, timedelta
TZ_BEIJING = timezone(timedelta(hours=8))
from re import findall
import requests
TZ_BEIJING = timezone(timedelta(hours=8))
logger = logging.getLogger(__name__)
@ -45,13 +47,11 @@ class MemosClient:
def list_memos(self, days=1, page_size=100):
"""Fetch memos from the last N days (Beijing time reference) via Connect RPC."""
user = self.get_user_id()
# Use Beijing time as reference for "last N days"
now_bj = datetime.now(TZ_BEIJING)
since_bj = now_bj - timedelta(days=days)
since_utc = since_bj.astimezone(timezone.utc)
since = since_utc.isoformat()
# Connect RPC uses POST with JSON body
payload = {
"pageSize": page_size,
"filter": f"creator == '{user}'",
@ -68,7 +68,6 @@ class MemosClient:
memos = data.get("memos", [])
logger.info("Memos API OK | fetched %d memos", len(memos))
# Filter by time client-side (Beijing time reference)
results = []
for m in memos:
created = m.get("createTime", "")
@ -88,9 +87,7 @@ class MemosClient:
"visibility": m.get("visibility", ""),
})
logger.info(
"Filtered to %d memos since %s", len(results), since[:10]
)
logger.info("Filtered to %d memos since %s", len(results), since[:10])
return results
def list_all_memos_from_range(self, start_date, end_date, page_size=200):
@ -110,7 +107,6 @@ class MemosClient:
memos = data.get("memos", [])
logger.info("Memos API OK | fetched %d memos total", len(memos))
# Client-side date range filtering
results = []
for m in memos:
created = m.get("createTime", "")
@ -136,8 +132,76 @@ class MemosClient:
)
return results
def list_memos_by_tag(self, tag, page_size=200):
"""Fetch all memos containing a specific tag.
Useful for retrieving memos across multiple days related to a specific
topic (e.g. a training course that spans a full week).
"""
payload = {"pageSize": page_size}
resp = self.session.post(
f"{self.base_url}/memos.api.v1.MemoService/ListMemos",
json=payload,
timeout=15
)
resp.raise_for_status()
data = resp.json()
memos = data.get("memos", [])
results = []
for m in memos:
content_text = m.get("content", "")
tags = self._extract_tags(content_text)
if tag not in tags:
continue
results.append({
"id": m.get("name", "").split("/")[-1],
"content": content_text,
"created_at": m.get("createTime", ""),
"tags": tags,
"visibility": m.get("visibility", ""),
})
logger.info("Found %d memos with tag #%s", len(results), tag)
return results
@staticmethod
def aggregate_tags(memos):
"""Count tag frequency across a list of memos.
Returns dict of {tag: count}, sorted by frequency descending.
"""
counter = Counter()
for m in memos:
for tag in m.get("tags", []):
counter[tag] += 1
return dict(counter.most_common())
@staticmethod
def group_memos_by_tag(memos):
"""Group memos by their tags.
Returns dict of {tag: [memo_list]}, with "无标签" key for memos
without any tags. A memo can appear under multiple tags.
"""
groups = {}
untagged = []
for m in memos:
tags = m.get("tags", [])
if not tags:
untagged.append(m)
continue
for tag in tags:
if tag not in groups:
groups[tag] = []
groups[tag].append(m)
if untagged:
groups["无标签"] = untagged
return groups
@staticmethod
def _extract_tags(content):
"""Extract #tags from memo content."""
import re
return re.findall(r"#(\w[\w\-]*)", content)
return findall(r"#(\w[\w\-]*)", content)