-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathanalyze_students.py
More file actions
141 lines (121 loc) · 5.88 KB
/
Copy pathanalyze_students.py
File metadata and controls
141 lines (121 loc) · 5.88 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
import os
import json
import hashlib
from datetime import datetime
def get_file_info(filepath):
try:
stat = os.stat(filepath)
mtime = datetime.fromtimestamp(stat.st_mtime)
with open(filepath, 'r') as f:
content = f.read()
data = json.loads(content)
file_hash = hashlib.md5(content.encode('utf-8')).hexdigest()
# Check schema
has_profile = 'profile' in data
has_diagnostics = 'diagnostics' in data
has_recommendations = 'recommendations' in data
is_v4 = has_profile and has_diagnostics and has_recommendations
student_id = data.get('student_id')
student_name = data.get('student_name')
return {
'path': filepath,
'mtime': mtime,
'hash': file_hash,
'is_v4': is_v4,
'student_id': student_id,
'student_name': student_name,
'size': stat.st_size
}
except Exception as e:
return {
'path': filepath,
'error': str(e)
}
files = [
"data/students/jenny_assessments_v1/student_011_beya_structured.json",
"data/students/jenny_assessments_v1/student_006_arshiya_structured.json",
"data/students/jenny_assessments_v1/student_005_srinidhi_structured.json",
"data/students/jenny_assessments_v1/student_003_aaryan_structured.json",
"data/students/jenny_assessments_v1/student_007_aarnav_structured.json",
"data/students/jenny_assessments_v1/student_009_aarav_structured.json",
"data/students/jenny_assessments_v1/student_010_zainab_structured.json",
"data/students/jenny_assessments_v1/student_002_ananyaa_structured.json",
"data/students/jenny_assessments_v1/student_008_iqra_structured.json",
"data/students/jenny_assessments_v1/student_004_hiba_structured.json",
"data/students/jenny_assessments_v1/student_001_anoushka_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_009_aarav_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_004_hiba_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_011_beya_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_006_arshiya_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_006_arshiya_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_005_srinidhi_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_005_srinidhi_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_000_huda_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_001_anoushka_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_011_beya_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_003_aaryan_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_007_aarnav_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_009_aarav_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_007_aarnav_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_010_zainab_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_010_zainab_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_002_ananyaa_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_008_iqra_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_002_ananyaa_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_003_aaryan_structured_1.json",
"data/v4_organized/students/jenny_assessments_v1/student_004_hiba_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_001_anoushka_structured.json",
"data/v4_organized/students/jenny_assessments_v1/student_008_iqra_structured_1.json"
]
info_list = [get_file_info(f) for f in files]
# Group by student_id
students = {}
no_id = []
for info in info_list:
if 'error' in info:
no_id.append(info)
continue
sid = info.get('student_id')
if not sid:
# Try to infer from filename
basename = os.path.basename(info['path'])
if 'student_' in basename:
parts = basename.split('_')
if len(parts) >= 2:
sid = f"{parts[0]}_{parts[1]}" # e.g. student_001
if sid:
if sid not in students:
students[sid] = []
students[sid].append(info)
else:
no_id.append(info)
print("# CANONICAL MAPPING TABLE")
print(f"Generated at: {datetime.now()}")
print("")
for sid in sorted(students.keys()):
print(f"## Student: {sid}")
items = students[sid]
# Find newest
newest = max(items, key=lambda x: x['mtime'])
print("| File Path | Size | V4 Schema | MTime | Duplicate? | Recommendation |")
print("|---|---|---|---|---|---|")
# Check for duplicates
hashes = [x['hash'] for x in items]
for item in items:
is_newest = item == newest
is_dup = hashes.count(item['hash']) > 1
rec = ""
if "v4_organized" in item['path'] and not "_1.json" in item['path']:
rec = "**CANONICAL** (data/students/jenny_assessments_v1/)"
elif "_1.json" in item['path']:
rec = "ARCHIVE (data/archive/legacy_v3/duplicates/)"
elif "data/students" in item['path']:
rec = "ARCHIVE (data/archive/legacy_v3/students_backup/)"
else:
rec = "REVIEW"
print(f"| `{item['path']}` | {item['size']} | {item['is_v4']} | {item['mtime']} | {is_dup} | {rec} |")
print("")
if no_id:
print("## Files with NO Student ID")
for item in no_id:
print(f"- {item['path']} (Error: {item.get('error', 'Missing ID')})")