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import pickle
import networkx as nx
import json
import os
from tqdm import tqdm
# Class for reading DCS pickle files
class DCS:
def __init__(self, sent_id, sentence):
self.sent_id = sent_id
self.sentence = sentence
self.dcs_chunks = []
self.lemmas = []
self.cng = []
# === Config Paths ===
graph_file_list = "graphFiles"
graph_folder = "After_graphml"
pkl_folder = "DCS_pick"
output_jsonl = "dataset.jsonl"
log_file = "conversion_log.txt"
# === Prepare Output Files ===
with open(output_jsonl, "w", encoding="utf-8") as out_fp, open(log_file, "w", encoding="utf-8") as log_fp:
with open(graph_file_list, "r") as id_file:
ids = [line.strip().replace(".graphml", "") for line in id_file]
success_count = 0
error_count = 0
for sid in tqdm(ids, desc="Converting files"):
try:
# === Load .p (pickle) file ===
pkl_path = os.path.join(pkl_folder, f"{sid}.p")
if not os.path.exists(pkl_path):
raise FileNotFoundError(f"Missing pickle: {pkl_path}")
with open(pkl_path, "rb") as f:
gold = pickle.load(f, encoding="utf-8")
# === Load .graphml file ===
graph_path = os.path.join(graph_folder, f"{sid}.graphml")
if not os.path.exists(graph_path):
raise FileNotFoundError(f"Missing graphml: {graph_path}")
G = nx.read_graphml(graph_path)
# === Extract candidates from graph ===
candidates = []
for node_id, node_data in G.nodes(data=True):
candidates.append({
"id": node_id,
"word": node_data.get("word", ""),
"lemma": node_data.get("lemma", ""),
"morph": node_data.get("morph", ""),
"cng": str(node_data.get("cng", "")),
"chunk_no": str(node_data.get("chunk_no", "")),
"position": int(node_data.get("position", -1)),
"length": int(node_data.get("length_word", -1)),
"pre_verb": node_data.get("pre_verb", "")
})
# === Final dictionary ===
sample = {
"id": sid,
"sentence": gold.sentence.strip(),
"gold_segments": gold.dcs_chunks,
"lemmas": gold.lemmas,
"morph_tags": gold.cng,
"candidates": candidates
}
json.dump(sample, out_fp, ensure_ascii=False)
out_fp.write("\n")
success_count += 1
except Exception as e:
log_fp.write(f"[ERROR] {sid}: {str(e)}\n")
error_count += 1
# === Done ===
print(f"\n✅ Conversion complete: {success_count} samples written")
print(f"⚠️ {error_count} samples skipped — see {log_file} for details")
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