179 lines
6.9 KiB
Python
179 lines
6.9 KiB
Python
import os
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import requests
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import pyodbc
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from datetime import datetime, timedelta
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OUTPUT_DIR_BASE = r"\\10.77.77.11\Contabilidade\AUTOMAÇÃO\NotadeDebito"
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DB_CONN = (
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"Driver={ODBC Driver 17 for SQL Server};"
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"Server=10.77.77.10;"
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"Database=GINSENG;"
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"UID=andrey;"
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"PWD=88253332Wa@;"
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)
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# 1️⃣ Token
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def get_token():
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print("🔐 Obtendo token...")
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r = requests.get("https://api.grupoginseng.com.br/api/tokens")
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r.raise_for_status()
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token = r.json()["data"][0]["token"]
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print("✅ Token obtido com sucesso.")
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return token
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# 2️⃣ Última data sincronizada
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def get_last_invoice_date(cursor):
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cursor.execute("SELECT MAX(invoiceDate) FROM dbo.DebitNotes WHERE invoiceDate IS NOT NULL")
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result = cursor.fetchone()[0]
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if result:
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print(f"🕓 Última data sincronizada: {result}")
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return result
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else:
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default = datetime.now() - timedelta(days=5)
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print(f"⚙️ Nenhuma data encontrada, buscando últimos 30 dias ({default.date()})")
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return default
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# 3️⃣ Busca com paginação
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def get_all_documents(token):
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print("📡 Consultando notas fiscais (paginado)...")
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url_base = "https://sf-fiscal-api.grupoboticario.digital/v1/debit-notes/documents-list"
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headers = {
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"accept": "application/json, text/plain, */*",
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"authorization": token,
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"content-type": "application/json",
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}
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payload = {
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"franchiseId": [
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"4494", "12522", "12817", "12818", "12820", "12823", "12824", "12826", "12828", "12829",
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"12830", "12838", "13427", "14617", "14668", "19103", "20005", "20006", "20009", "20056",
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"20057", "20441", "20683", "20712", "20858", "20968", "20969", "20970", "20979", "20986",
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"20988", "20989", "20991", "20992", "20993", "20994", "20995", "20996", "20997", "20998",
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"20999", "21000", "21001", "21007", "21068", "21277", "21278", "21296", "21375", "21381",
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"21383", "21495", "21624", "21647", "21737", "21738", "21739", "21740", "22448", "22475",
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"22501", "22526", "22532", "22533", "22541", "22593", "22632", "23156", "23475", "23665",
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"23701", "23702", "23703", "23704", "23705", "23706", "23707", "23708", "23709", "23711",
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"23712", "23713", "3546", "4560", "5699", "910173", "910291", "911486", "911487", "911488",
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"911489", "911490", "911491", "911492", "911509", "911510", "911511", "911512", "911513",
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"911514", "911515", "911516", "911517", "911518", "911519", "911762", "911766", "911924",
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"911940", "912242", "912273", "912856", "912857", "912858", "912859"
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]
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}
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skip, take = 0, 2000
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all_docs = []
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while True:
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url = f"{url_base}?cpId=10269&skip={skip}&take={take}"
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print(f"➡️ Página {skip // take + 1} — buscando registros {skip}–{skip + take}...")
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r = requests.post(url, headers=headers, json=payload)
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if r.status_code != 200:
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print(f"❌ Erro {r.status_code}: {r.text}")
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break
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docs = r.json().get("documentsList", [])
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if not docs:
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print("✅ Nenhum novo documento encontrado.")
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break
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all_docs.extend(docs)
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print(f"📦 Recebidos {len(docs)} registros (total: {len(all_docs)})")
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if len(docs) < take:
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break
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skip += take
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return all_docs
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# 4️⃣ Filtro local por data
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def filter_documents_by_date(documents, start_date, end_date):
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filtrados = []
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for doc in documents:
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try:
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inv_date = datetime.strptime(doc.get("invoiceDate", ""), "%Y-%m-%d")
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if start_date.date() <= inv_date.date() <= end_date.date():
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filtrados.append(doc)
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except Exception:
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continue
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print(f"📅 {len(filtrados)} documentos dentro do intervalo {start_date}–{end_date}")
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return filtrados
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# 5️⃣ Inserção e download
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def record_exists(cursor, doc_id):
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cursor.execute("SELECT 1 FROM dbo.DebitNotes WHERE id = ?", doc_id)
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return cursor.fetchone() is not None
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def insert_record(cursor, doc):
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cursor.execute("""
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INSERT INTO dbo.DebitNotes (
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id, debitNoteOrigin, cnpj, cpId, franchiseId, debitNoteNumber,
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invoiceNumber, invoiceItem, invoiceDate, invoiceDueDate, value,
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serviceDescription, imageId, notificationRead, notificationReadDate,
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acknowledged, acknowledgedDate, UUID, imageName, uploadedFile
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)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""", (
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doc.get("id"),
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doc.get("debitNoteOrigin") or "N/D",
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doc.get("cnpj") or "",
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doc.get("cpId"),
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doc.get("franchiseId"),
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doc.get("debitNoteNumber") or "",
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doc.get("invoiceNumber") or "",
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doc.get("invoiceItem") or "",
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doc.get("invoiceDate"),
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doc.get("invoiceDueDate"),
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doc.get("value") or 0,
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doc.get("serviceDescription") or "",
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doc.get("imageId"),
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1 if doc.get("notificationRead") else 0,
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doc.get("notificationReadDate"),
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1 if doc.get("acknowledged") else 0,
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doc.get("acknowledgedDate"),
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doc.get("UUID"),
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doc.get("imageName"),
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1 if doc.get("uploadedFile") else 0
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))
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def download_pdf(token, franchise_id, doc_id, image_name, invoice_date):
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try:
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url = f"https://sf-fiscal-api.grupoboticario.digital/v1/handle-images/NDEB/{franchise_id}/{doc_id}/{image_name}/download"
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r = requests.get(url, headers={"authorization": token})
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r.raise_for_status()
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s3_url = r.text.strip()
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pasta = os.path.join(OUTPUT_DIR_BASE, str(invoice_date))
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os.makedirs(pasta, exist_ok=True)
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file_path = os.path.join(pasta, image_name)
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pdf = requests.get(s3_url, stream=True)
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if pdf.status_code == 200:
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with open(file_path, "wb") as f:
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for chunk in pdf.iter_content(8192):
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f.write(chunk)
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print(f"📥 PDF salvo: {file_path}")
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except Exception as e:
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print(f"❌ Erro ao baixar {image_name}: {e}")
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# 🚀 Main
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def main():
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token = get_token()
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conn = pyodbc.connect(DB_CONN)
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cursor = conn.cursor()
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# Filtrar apenas notas do dia 29-10-2025
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data_especifica = datetime(2025, 10, 29)
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todos = get_all_documents(token)
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documentos = filter_documents_by_date(todos, data_especifica, data_especifica)
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novos, ignorados = 0, 0
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for doc in documentos:
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if record_exists(cursor, doc["id"]):
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ignorados += 1
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continue
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insert_record(cursor, doc)
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novos += 1
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download_pdf(token, doc["franchiseId"], doc["id"], doc["imageName"], doc["invoiceDate"])
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conn.commit()
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conn.close()
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print(f"\n✅ Finalizado. {novos} novos registros, {ignorados} já existiam.")
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print(f"🕓 Execução concluída em {datetime.now().strftime('%H:%M:%S')}")
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if __name__ == "__main__":
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main()
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