140 lines
6.1 KiB
Python
140 lines
6.1 KiB
Python
"""routes/llm.py — LLM-извлечение + сравнение: один SSE-поток."""
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import json as _json
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import time as _time
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from flask import Response
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import db
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import extractor
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import differ
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def process(cid):
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"""
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GET /llm/process/<cid> — SSE-поток полного цикла:
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1. Для каждого файла договора: parsed_text → LLM → spec_rows
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2. Сравнение допников через differ.diff()
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3. Результат → SSE-сообщения в браузер
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"""
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def generate():
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start_time = _time.time()
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# ── Получить все файлы договора ─────────────────────
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supps, _ = db.query(
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"SELECT s.id as supp_id, s.type, d.id as doc_id, d.filename, d.parsed_text "
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"FROM supplements s JOIN documents d ON s.document_id = d.id "
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"WHERE s.contract_id = %s AND d.parsed_text IS NOT NULL "
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"ORDER BY s.created_at",
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(cid,),
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)
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if not supps:
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yield f"data: {_json.dumps({'type': 'error', 'message': 'Нет распарсенных файлов. Сначала нажмите Парсинг.'})}\n\n"
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return
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supp_rows = [dict(zip(supps["columns"], r)) for r in supps["rows"]]
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extracted = {} # supp_id → [rows]
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# ── Шаг 1: LLM-извлечение для каждого файла ─────────
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for s in supp_rows:
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# Пропустить уже извлечённые
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existing, _ = db.query(
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"SELECT 1 FROM spec_rows WHERE supplement_id = %s LIMIT 1",
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(s["supp_id"],),
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)
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if existing and existing["rows"]:
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# Загрузить существующие
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rows_res, _ = db.query(
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"SELECT row_num, name, price, qty, sum, date_start "
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"FROM spec_rows WHERE supplement_id = %s ORDER BY row_num",
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(s["supp_id"],),
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)
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rows = [dict(zip(rows_res["columns"], r)) for r in rows_res["rows"]] if rows_res else []
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extracted[s["supp_id"]] = rows
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yield f"data: {_json.dumps({'type': 'extract_skip', 'name': s['filename'], 'reason': 'уже извлечено', 'count': len(rows)})}\n\n"
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continue
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yield f"data: {_json.dumps({'type': 'extract_start', 'name': s['filename']})}\n\n"
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t0 = _time.time()
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result = extractor.extract(s["parsed_text"])
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if "error" in result:
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yield f"data: {_json.dumps({'type': 'extract_error', 'name': s['filename'], 'error': result['error']})}\n\n"
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continue
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rows = result.get("rows", [])
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unresolved = result.get("unresolved", [])
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elapsed = round(_time.time() - t0, 2)
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# Сохранить в БД
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db.execute("DELETE FROM spec_rows WHERE supplement_id = %s", (s["supp_id"],))
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for row in rows:
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db.execute(
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"INSERT INTO spec_rows (supplement_id, row_num, name, price, qty, sum, date_start) "
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"VALUES (%s, %s, %s, %s, %s, %s, %s)",
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(
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s["supp_id"],
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row.get("row_num"),
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row.get("name"),
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row.get("price"),
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row.get("qty"),
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row.get("sum"),
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row.get("date_start"),
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),
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)
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extracted[s["supp_id"]] = rows
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yield f"data: {_json.dumps({'type': 'extract_done', 'name': s['filename'], 'time_s': elapsed, 'count': len(rows), 'unresolved': unresolved})}\n\n"
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# ── Шаг 2: Сравнение ────────────────────────────────
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yield f"data: {_json.dumps({'type': 'diff_start', 'files': len(supp_rows)})}\n\n"
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# Группируем: ищем amendments, если нет — сравниваем первый с остальными
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initial_rows = None
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amendments = []
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for s in supp_rows:
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if s["type"] != "initial":
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amendments.append({
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"supp_id": s["supp_id"],
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"filename": s["filename"],
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"type": s["type"],
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"rows": extracted.get(s["supp_id"], []),
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})
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elif initial_rows is None:
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# Первый initial — базовый
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initial_rows = extracted.get(s["supp_id"], [])
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else:
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# Последующие initial — как допники (fallback)
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amendments.append({
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"supp_id": s["supp_id"],
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"filename": s["filename"],
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"type": "initial",
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"rows": extracted.get(s["supp_id"], []),
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})
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all_changes = []
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if initial_rows is not None:
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for am in amendments:
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if not am["rows"]:
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continue
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d = differ.diff(initial_rows, am["rows"])
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changes = d.get("changes", [])
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summary = d.get("summary", {})
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all_changes.append({
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"filename": am["filename"],
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"type": am["type"],
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"changes": changes,
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"summary": summary,
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})
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yield f"data: {_json.dumps({'type': 'diff_file', 'name': am['filename'], 'changes': len(changes), 'summary': summary})}\n\n"
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# ── Итог ────────────────────────────────────────────
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total_time = round(_time.time() - start_time, 2)
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yield f"data: {_json.dumps({'type': 'done', 'total_time_s': total_time, 'all_changes': all_changes})}\n\n"
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return Response(generate(), mimetype="text/event-stream")
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