File size: 4,809 Bytes
b396cd3 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 |
# loader.py
import os
import json
from typing import List, Dict, Any
import qa_store
CURRICULUM_PATH = "data/1_Year_U_1.jsonl"
MANUAL_QA_PATH = "data/manual_qa.jsonl"
def load_curriculum() -> None:
"""
Load official textbook JSONL into qa_store.ENTRIES and AUTO_QA_KNOWLEDGE.
"""
qa_store.ENTRIES.clear()
qa_store.AUTO_QA_KNOWLEDGE.clear()
if not os.path.exists(CURRICULUM_PATH):
qa_store.RAW_KNOWLEDGE = "ຍັງບໍ່ມີຂໍ້ມູນປະຫວັດສາດຖືກໂຫຼດ."
return
with open(CURRICULUM_PATH, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
obj: Dict[str, Any] = json.loads(line)
except json.JSONDecodeError:
continue
if "text" not in obj:
continue
qa_store.ENTRIES.append(obj)
for pair in obj.get("qa", []):
q = (pair.get("q") or "").strip()
a = (pair.get("a") or "").strip()
if not q or not a:
continue
norm_q = qa_store.normalize_question(q)
qa_store.AUTO_QA_KNOWLEDGE.append(
{
"norm_q": norm_q,
"q": q,
"a": a,
"source": "auto",
"id": obj.get("id", ""),
}
)
if qa_store.ENTRIES:
qa_store.RAW_KNOWLEDGE = "\n\n".join(e["text"] for e in qa_store.ENTRIES)
else:
qa_store.RAW_KNOWLEDGE = "ຍັງບໍ່ມີຂໍ້ມູນປະຫວັດສາດທີ່ອ່ານໄດ້."
def load_manual_qa() -> None:
"""
Load manual_qa.jsonl into qa_store.MANUAL_QA_LIST and MANUAL_QA_INDEX.
"""
qa_store.MANUAL_QA_LIST.clear()
qa_store.MANUAL_QA_INDEX.clear()
max_num = 0
if not os.path.exists(MANUAL_QA_PATH):
qa_store.NEXT_MANUAL_ID = 1
return
with open(MANUAL_QA_PATH, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
obj = json.loads(line)
except json.JSONDecodeError:
continue
q = (obj.get("q") or "").strip()
a = (obj.get("a") or "").strip()
if not q or not a:
continue
entry_id = str(obj.get("id") or "")
if not entry_id:
max_num += 1
entry_id = f"manual_{max_num:04d}"
# track biggest number in id
import re as _re
m = _re.search(r"(\d+)$", entry_id)
if m:
max_num = max(max_num, int(m.group(1)))
norm_q = qa_store.normalize_question(q)
entry = {
"id": entry_id,
"q": q,
"a": a,
"norm_q": norm_q,
}
qa_store.MANUAL_QA_LIST.append(entry)
qa_store.MANUAL_QA_INDEX[norm_q] = entry
qa_store.NEXT_MANUAL_ID = max_num + 1 if max_num > 0 else 1
def generate_new_manual_id() -> str:
"""
Generate a new manual entry ID and increment the counter.
"""
new_id = f"manual_{qa_store.NEXT_MANUAL_ID:04d}"
qa_store.NEXT_MANUAL_ID += 1
return new_id
def save_manual_qa_file() -> None:
"""
Persist MANUAL_QA_LIST to data/manual_qa.jsonl.
"""
os.makedirs(os.path.dirname(MANUAL_QA_PATH), exist_ok=True)
with open(MANUAL_QA_PATH, "w", encoding="utf-8") as f:
for e in qa_store.MANUAL_QA_LIST:
obj = {"id": e["id"], "q": e["q"], "a": e["a"]}
f.write(json.dumps(obj, ensure_ascii=False) + "\n")
def rebuild_combined_qa() -> None:
"""
Combine auto and manual QA into QA_INDEX & ALL_QA_KNOWLEDGE.
Manual answers override auto ones if same normalized question.
"""
qa_store.QA_INDEX.clear()
qa_store.ALL_QA_KNOWLEDGE.clear()
# auto first
for item in qa_store.AUTO_QA_KNOWLEDGE:
norm_q = item["norm_q"]
qa_store.QA_INDEX[norm_q] = item["a"]
qa_store.ALL_QA_KNOWLEDGE.append(item)
# manual overrides
for e in qa_store.MANUAL_QA_LIST:
item = {
"norm_q": e["norm_q"],
"q": e["q"],
"a": e["a"],
"source": "manual",
"id": e["id"],
}
qa_store.QA_INDEX[item["norm_q"]] = item["a"]
qa_store.ALL_QA_KNOWLEDGE.append(item)
def manual_qa_table_data() -> List[List[str]]:
"""
Table rows for Teacher Panel.
"""
return [[e["id"], e["q"], e["a"]] for e in qa_store.MANUAL_QA_LIST]
|