1#!/usr/bin/env python3
2"""
3Weekly Review Generator
4Compiles data from Digital Brain into a weekly review document.
5"""
6 
7import json
8import os
9from datetime import datetime, timedelta
10from pathlib import Path
11 
12# Get the digital brain root (parent of agents/)
13BRAIN_ROOT = Path(__file__).parent.parent.parent
14 
15def load_jsonl(filepath):
16    """Load JSONL file, skipping schema lines."""
17    items = []
18    if not filepath.exists():
19        return items
20    with open(filepath, 'r') as f:
21        for line in f:
22            line = line.strip()
23            if not line:
24                continue
25            try:
26                data = json.loads(line)
27                # Skip schema definition lines
28                if '_schema' not in data:
29                    items.append(data)
30            except json.JSONDecodeError:
31                continue
32    return items
33 
34def get_week_range():
35    """Get the start and end of the current week."""
36    today = datetime.now()
37    start = today - timedelta(days=today.weekday())
38    end = start + timedelta(days=6)
39    return start.strftime('%Y-%m-%d'), end.strftime('%Y-%m-%d')
40 
41def analyze_content(week_start):
42    """Analyze content published this week."""
43    posts = load_jsonl(BRAIN_ROOT / 'content' / 'posts.jsonl')
44    ideas = load_jsonl(BRAIN_ROOT / 'content' / 'ideas.jsonl')
45 
46    week_posts = [p for p in posts if p.get('published', '') >= week_start]
47    new_ideas = [i for i in ideas if i.get('created', '') >= week_start]
48 
49    return {
50        'posts_published': len(week_posts),
51        'new_ideas': len(new_ideas),
52        'posts': week_posts
53    }
54 
55def analyze_network(week_start):
56    """Analyze network activity this week."""
57    interactions = load_jsonl(BRAIN_ROOT / 'network' / 'interactions.jsonl')
58 
59    week_interactions = [i for i in interactions if i.get('date', '') >= week_start]
60 
61    return {
62        'interactions': len(week_interactions),
63        'details': week_interactions
64    }
65 
66def analyze_metrics():
67    """Get latest metrics if available."""
68    metrics = load_jsonl(BRAIN_ROOT / 'operations' / 'metrics.jsonl')
69    if metrics:
70        return metrics[-1]  # Most recent
71    return {}
72 
73def generate_review():
74    """Generate the weekly review output."""
75    week_start, week_end = get_week_range()
76 
77    content = analyze_content(week_start)
78    network = analyze_network(week_start)
79    metrics = analyze_metrics()
80 
81    review = f"""
82# Weekly Review: {week_start} to {week_end}
83Generated: {datetime.now().isoformat()}
84 
85## Summary
86 
87### Content
88- Posts published: {content['posts_published']}
89- New ideas captured: {content['new_ideas']}
90 
91### Network
92- Interactions logged: {network['interactions']}
93 
94### Latest Metrics
95"""
96 
97    if metrics:
98        audience = metrics.get('audience', {})
99        for key, value in audience.items():
100            review += f"- {key}: {value}\n"
101    else:
102        review += "- No metrics recorded yet\n"
103 
104    review += """
105## Action Items
106 
1071. [ ] Review content performance
1082. [ ] Plan next week's content
1093. [ ] Follow up on pending introductions
1104. [ ] Update goals progress
1115. [ ] Schedule key meetings
112 
113## Notes
114 
115[Add your reflections here]
116"""
117 
118    return review
119 
120if __name__ == '__main__':
121    print(generate_review())
122