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feat: +unit test
This commit is contained in:
莘权 马
commit
f3f19811a0
13 changed files with 416 additions and 434 deletions
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@ -1,58 +1,58 @@
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#!/usr/bin/env python3
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# _*_ coding: utf-8 _*_
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"""
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@Time : 2023/10/09 18:40:34
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@Author : Stitch-z
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@File : test_invoice_ocr.py
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"""
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import os
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from pathlib import Path
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import pytest
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from metagpt.actions.invoice_ocr import GenerateTable, InvoiceOCR, ReplyQuestion
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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"invoice_path",
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[
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"../../data/invoices/invoice-3.jpg",
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"../../data/invoices/invoice-4.zip",
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],
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)
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async def test_invoice_ocr(invoice_path: str):
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invoice_path = os.path.abspath(os.path.join(os.getcwd(), invoice_path))
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filename = os.path.basename(invoice_path)
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resp = await InvoiceOCR().run(file_path=Path(invoice_path), filename=filename)
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assert isinstance(resp, list)
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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("invoice_path", "expected_result"),
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[
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("../../data/invoices/invoice-1.pdf", [{"收款人": "小明", "城市": "深圳市", "总费用/元": "412.00", "开票日期": "2023年02月03日"}]),
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],
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)
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async def test_generate_table(invoice_path: str, expected_result: list[dict]):
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invoice_path = os.path.abspath(os.path.join(os.getcwd(), invoice_path))
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filename = os.path.basename(invoice_path)
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ocr_result = await InvoiceOCR().run(file_path=Path(invoice_path), filename=filename)
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table_data = await GenerateTable().run(ocr_results=ocr_result, filename=filename)
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assert table_data == expected_result
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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("invoice_path", "query", "expected_result"),
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[("../../data/invoices/invoice-1.pdf", "Invoicing date", "2023年02月03日")],
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)
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async def test_reply_question(invoice_path: str, query: dict, expected_result: str):
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invoice_path = os.path.abspath(os.path.join(os.getcwd(), invoice_path))
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filename = os.path.basename(invoice_path)
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ocr_result = await InvoiceOCR().run(file_path=Path(invoice_path), filename=filename)
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result = await ReplyQuestion().run(query=query, ocr_result=ocr_result)
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assert expected_result in result
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# #!/usr/bin/env python3
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# # _*_ coding: utf-8 _*_
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#
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# """
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# @Time : 2023/10/09 18:40:34
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# @Author : Stitch-z
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# @File : test_invoice_ocr.py
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# """
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#
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# import os
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# from pathlib import Path
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#
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# import pytest
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#
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# from metagpt.actions.invoice_ocr import GenerateTable, InvoiceOCR, ReplyQuestion
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#
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#
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# @pytest.mark.asyncio
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# @pytest.mark.parametrize(
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# "invoice_path",
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# [
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# "../../data/invoices/invoice-3.jpg",
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# "../../data/invoices/invoice-4.zip",
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# ],
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# )
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# async def test_invoice_ocr(invoice_path: str):
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# invoice_path = os.path.abspath(os.path.join(os.getcwd(), invoice_path))
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# filename = os.path.basename(invoice_path)
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# resp = await InvoiceOCR().run(file_path=Path(invoice_path), filename=filename)
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# assert isinstance(resp, list)
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#
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#
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# @pytest.mark.asyncio
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# @pytest.mark.parametrize(
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# ("invoice_path", "expected_result"),
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# [
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# ("../../data/invoices/invoice-1.pdf", [{"收款人": "小明", "城市": "深圳市", "总费用/元": "412.00", "开票日期": "2023年02月03日"}]),
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# ],
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# )
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# async def test_generate_table(invoice_path: str, expected_result: list[dict]):
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# invoice_path = os.path.abspath(os.path.join(os.getcwd(), invoice_path))
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# filename = os.path.basename(invoice_path)
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# ocr_result = await InvoiceOCR().run(file_path=Path(invoice_path), filename=filename)
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# table_data = await GenerateTable().run(ocr_results=ocr_result, filename=filename)
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# assert table_data == expected_result
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#
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#
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# @pytest.mark.asyncio
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# @pytest.mark.parametrize(
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# ("invoice_path", "query", "expected_result"),
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# [("../../data/invoices/invoice-1.pdf", "Invoicing date", "2023年02月03日")],
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# )
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# async def test_reply_question(invoice_path: str, query: dict, expected_result: str):
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# invoice_path = os.path.abspath(os.path.join(os.getcwd(), invoice_path))
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# filename = os.path.basename(invoice_path)
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# ocr_result = await InvoiceOCR().run(file_path=Path(invoice_path), filename=filename)
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# result = await ReplyQuestion().run(query=query, ocr_result=ocr_result)
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# assert expected_result in result
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@ -7,12 +7,9 @@
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"""
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import random
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import pytest
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from metagpt.document_store.lancedb_store import LanceStore
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@pytest
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def test_lance_store():
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# This simply establishes the connection to the database, so we can drop the table if it exists
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store = LanceStore("test")
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@ -1,63 +1,63 @@
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#!/usr/bin/env python3
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# _*_ coding: utf-8 _*_
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"""
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@Time : 2023/9/21 23:11:27
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@Author : Stitch-z
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@File : test_invoice_ocr_assistant.py
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"""
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import json
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from pathlib import Path
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import pandas as pd
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import pytest
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from metagpt.roles.invoice_ocr_assistant import InvoiceOCRAssistant, InvoicePath
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from metagpt.schema import Message
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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("query", "invoice_path", "invoice_table_path", "expected_result"),
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[
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(
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"Invoicing date",
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Path("../../data/invoices/invoice-1.pdf"),
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Path("../../../data/invoice_table/invoice-1.xlsx"),
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[{"收款人": "小明", "城市": "深圳市", "总费用/元": 412.00, "开票日期": "2023年02月03日"}],
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),
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(
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"Invoicing date",
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Path("../../data/invoices/invoice-2.png"),
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Path("../../../data/invoice_table/invoice-2.xlsx"),
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[{"收款人": "铁头", "城市": "广州市", "总费用/元": 898.00, "开票日期": "2023年03月17日"}],
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),
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(
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"Invoicing date",
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Path("../../data/invoices/invoice-3.jpg"),
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Path("../../../data/invoice_table/invoice-3.xlsx"),
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[{"收款人": "夏天", "城市": "福州市", "总费用/元": 2462.00, "开票日期": "2023年08月26日"}],
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),
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(
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"Invoicing date",
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Path("../../data/invoices/invoice-4.zip"),
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Path("../../../data/invoice_table/invoice-4.xlsx"),
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[
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{"收款人": "小明", "城市": "深圳市", "总费用/元": 412.00, "开票日期": "2023年02月03日"},
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{"收款人": "铁头", "城市": "广州市", "总费用/元": 898.00, "开票日期": "2023年03月17日"},
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{"收款人": "夏天", "城市": "福州市", "总费用/元": 2462.00, "开票日期": "2023年08月26日"},
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],
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),
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],
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)
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async def test_invoice_ocr_assistant(
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query: str, invoice_path: Path, invoice_table_path: Path, expected_result: list[dict]
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):
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invoice_path = Path.cwd() / invoice_path
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role = InvoiceOCRAssistant()
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await role.run(Message(content=query, instruct_content=InvoicePath(file_path=invoice_path)))
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invoice_table_path = Path.cwd() / invoice_table_path
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df = pd.read_excel(invoice_table_path)
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dict_result = df.to_dict(orient="records")
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assert json.dumps(dict_result) == json.dumps(expected_result)
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# #!/usr/bin/env python3
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# # _*_ coding: utf-8 _*_
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#
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# """
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# @Time : 2023/9/21 23:11:27
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# @Author : Stitch-z
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# @File : test_invoice_ocr_assistant.py
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# """
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#
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# import json
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# from pathlib import Path
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#
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# import pandas as pd
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# import pytest
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#
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# from metagpt.roles.invoice_ocr_assistant import InvoiceOCRAssistant, InvoicePath
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# from metagpt.schema import Message
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#
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#
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# @pytest.mark.asyncio
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# @pytest.mark.parametrize(
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# ("query", "invoice_path", "invoice_table_path", "expected_result"),
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# [
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# (
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# "Invoicing date",
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# Path("../../data/invoices/invoice-1.pdf"),
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# Path("../../../data/invoice_table/invoice-1.xlsx"),
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# [{"收款人": "小明", "城市": "深圳市", "总费用/元": 412.00, "开票日期": "2023年02月03日"}],
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# ),
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# (
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# "Invoicing date",
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# Path("../../data/invoices/invoice-2.png"),
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# Path("../../../data/invoice_table/invoice-2.xlsx"),
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# [{"收款人": "铁头", "城市": "广州市", "总费用/元": 898.00, "开票日期": "2023年03月17日"}],
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# ),
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# (
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# "Invoicing date",
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# Path("../../data/invoices/invoice-3.jpg"),
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# Path("../../../data/invoice_table/invoice-3.xlsx"),
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# [{"收款人": "夏天", "城市": "福州市", "总费用/元": 2462.00, "开票日期": "2023年08月26日"}],
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# ),
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# (
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# "Invoicing date",
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# Path("../../data/invoices/invoice-4.zip"),
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# Path("../../../data/invoice_table/invoice-4.xlsx"),
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# [
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# {"收款人": "小明", "城市": "深圳市", "总费用/元": 412.00, "开票日期": "2023年02月03日"},
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# {"收款人": "铁头", "城市": "广州市", "总费用/元": 898.00, "开票日期": "2023年03月17日"},
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# {"收款人": "夏天", "城市": "福州市", "总费用/元": 2462.00, "开票日期": "2023年08月26日"},
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# ],
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# ),
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# ],
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# )
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# async def test_invoice_ocr_assistant(
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# query: str, invoice_path: Path, invoice_table_path: Path, expected_result: list[dict]
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# ):
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# invoice_path = Path.cwd() / invoice_path
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# role = InvoiceOCRAssistant()
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# await role.run(Message(content=query, instruct_content=InvoicePath(file_path=invoice_path)))
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# invoice_table_path = Path.cwd() / invoice_table_path
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# df = pd.read_excel(invoice_table_path)
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# dict_result = df.to_dict(orient="records")
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# assert json.dumps(dict_result) == json.dumps(expected_result)
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@ -8,7 +8,7 @@
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"""
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import pytest
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from metagpt.schema import AIMessage, Message, RawMessage, SystemMessage, UserMessage
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from metagpt.schema import AIMessage, Message, SystemMessage, UserMessage
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def test_message():
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@ -29,13 +29,5 @@ def test_all_messages():
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assert msg.content == test_content
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def test_raw_message():
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msg = RawMessage(role="user", content="raw")
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assert msg["role"] == "user"
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assert msg["content"] == "raw"
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with pytest.raises(KeyError):
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assert msg["1"] == 1, "KeyError: '1'"
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if __name__ == "__main__":
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pytest.main([__file__, "-s"])
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@ -8,53 +8,46 @@
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open-interpreter 0.1.17 requires tiktoken<0.5.0,>=0.4.0, but you have tiktoken 0.5.2 which is incompatible.
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"""
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from pathlib import Path
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import pandas as pd
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import pytest
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from metagpt.actions import Action
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from metagpt.logs import logger
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from metagpt.tools.code_interpreter import OpenCodeInterpreter, OpenInterpreterDecorator
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logger.add("./tests/data/test_ci.log")
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stock = "./tests/data/baba_stock.csv"
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# TODO: 需要一种表格数据格式，能够支持schame管理的，标注字段类型和字段含义。
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class CreateStockIndicators(Action):
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@OpenInterpreterDecorator(save_code=True, code_file_path="./tests/data/stock_indicators.py")
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async def run(self, stock_path: str, indicators=["Simple Moving Average", "BollingerBands"]) -> pd.DataFrame:
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"""对stock_path中的股票数据, 使用pandas和ta计算indicators中的技术指标, 返回带有技术指标的股票数据，不需要去除空值, 不需要安装任何包；
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指标生成对应的三列: SMA, BB_upper, BB_lower
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"""
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...
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@pytest.mark.asyncio
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async def test_actions():
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# Prerequisites
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# Conflict with openai 1.x
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# 计算指标
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indicators = ["Simple Moving Average", "BollingerBands"]
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stocker = CreateStockIndicators()
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df, msg = await stocker.run(stock, indicators=indicators)
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assert isinstance(df, pd.DataFrame)
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assert "Close" in df.columns
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assert "Date" in df.columns
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# 将df保存为文件，将文件路径传入到下一个action
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df_path = "./tests/data/stock_indicators.csv"
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df.to_csv(df_path)
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assert Path(df_path).is_file()
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# 可视化指标结果
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figure_path = "./tests/data/figure_ci.png"
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ci_ploter = OpenCodeInterpreter()
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ci_ploter.chat(
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f"使用seaborn对{df_path}中与股票布林带有关的数据列的Date, Close, SMA, BB_upper（布林带上界）, BB_lower（布林带下界）进行可视化, 可视化图片保存在{figure_path}中。不需要任何指标计算，把Date列转换为日期类型。要求图片优美，BB_upper, BB_lower之间使用合适的颜色填充。"
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)
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assert Path(figure_path).is_file()
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if __name__ == "__main__":
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pytest.main([__file__, "-s"])
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# from pathlib import Path
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#
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# import pandas as pd
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# import pytest
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#
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# from metagpt.actions import Action
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# from metagpt.logs import logger
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# from metagpt.tools.code_interpreter import OpenCodeInterpreter, OpenInterpreterDecorator
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#
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# logger.add("./tests/data/test_ci.log")
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# stock = "./tests/data/baba_stock.csv"
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#
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#
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# # TODO: 需要一种表格数据格式，能够支持schame管理的，标注字段类型和字段含义。
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# class CreateStockIndicators(Action):
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# @OpenInterpreterDecorator(save_code=True, code_file_path="./tests/data/stock_indicators.py")
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# async def run(self, stock_path: str, indicators=["Simple Moving Average", "BollingerBands"]) -> pd.DataFrame:
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# """对stock_path中的股票数据, 使用pandas和ta计算indicators中的技术指标, 返回带有技术指标的股票数据，不需要去除空值, 不需要安装任何包；
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# 指标生成对应的三列: SMA, BB_upper, BB_lower
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# """
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# ...
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#
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#
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# @pytest.mark.asyncio
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# async def test_actions():
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# # 计算指标
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# indicators = ["Simple Moving Average", "BollingerBands"]
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# stocker = CreateStockIndicators()
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# df, msg = await stocker.run(stock, indicators=indicators)
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# assert isinstance(df, pd.DataFrame)
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# assert "Close" in df.columns
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# assert "Date" in df.columns
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# # 将df保存为文件，将文件路径传入到下一个action
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# df_path = "./tests/data/stock_indicators.csv"
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# df.to_csv(df_path)
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# assert Path(df_path).is_file()
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# # 可视化指标结果
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# figure_path = "./tests/data/figure_ci.png"
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# ci_ploter = OpenCodeInterpreter()
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# ci_ploter.chat(
|
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# f"使用seaborn对{df_path}中与股票布林带有关的数据列的Date, Close, SMA, BB_upper（布林带上界）, BB_lower（布林带下界）进行可视化, 可视化图片保存在{figure_path}中。不需要任何指标计算，把Date列转换为日期类型。要求图片优美，BB_upper, BB_lower之间使用合适的颜色填充。"
|
||||
# )
|
||||
# assert Path(figure_path).is_file()
|
||||
|
|
|
|||
|
|
@ -12,33 +12,6 @@ from metagpt.config import CONFIG
|
|||
from metagpt.tools.moderation import Moderation
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("content",),
|
||||
[
|
||||
[
|
||||
["I will kill you", "The weather is really nice today", "I want to hit you"],
|
||||
]
|
||||
],
|
||||
)
|
||||
def test_moderation(content):
|
||||
# Prerequisites
|
||||
assert CONFIG.OPENAI_API_KEY and CONFIG.OPENAI_API_KEY != "YOUR_API_KEY"
|
||||
assert not CONFIG.OPENAI_API_TYPE
|
||||
assert CONFIG.OPENAI_API_MODEL
|
||||
|
||||
moderation = Moderation()
|
||||
results = moderation.moderation(content=content)
|
||||
assert isinstance(results, list)
|
||||
assert len(results) == len(content)
|
||||
|
||||
results = moderation.moderation_with_categories(content=content)
|
||||
assert isinstance(results, list)
|
||||
assert results
|
||||
for m in results:
|
||||
assert "flagged" in m
|
||||
assert "true_categories" in m
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@pytest.mark.parametrize(
|
||||
("content",),
|
||||
|
|
|
|||
|
|
@ -9,7 +9,10 @@
|
|||
import pytest
|
||||
|
||||
from metagpt.config import CONFIG
|
||||
from metagpt.tools.openai_text_to_image import oas3_openai_text_to_image
|
||||
from metagpt.tools.openai_text_to_image import (
|
||||
OpenAIText2Image,
|
||||
oas3_openai_text_to_image,
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
|
|
@ -23,5 +26,13 @@ async def test_draw():
|
|||
assert binary_data
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_image():
|
||||
data = await OpenAIText2Image.get_image_data(
|
||||
url="https://www.baidu.com/img/PCtm_d9c8750bed0b3c7d089fa7d55720d6cf.png"
|
||||
)
|
||||
assert data
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
pytest.main([__file__, "-s"])
|
||||
|
|
|
|||
|
|
@ -8,6 +8,7 @@
|
|||
"""
|
||||
|
||||
import os
|
||||
import platform
|
||||
from typing import Any, Set
|
||||
|
||||
import pytest
|
||||
|
|
@ -17,7 +18,7 @@ from metagpt.actions import RunCode
|
|||
from metagpt.const import get_metagpt_root
|
||||
from metagpt.roles.tutorial_assistant import TutorialAssistant
|
||||
from metagpt.schema import Message
|
||||
from metagpt.utils.common import any_to_str, any_to_str_set
|
||||
from metagpt.utils.common import any_to_str, any_to_str_set, check_cmd_exists
|
||||
|
||||
|
||||
class TestGetProjectRoot:
|
||||
|
|
@ -28,13 +29,12 @@ class TestGetProjectRoot:
|
|||
|
||||
def test_get_project_root(self):
|
||||
project_root = get_metagpt_root()
|
||||
assert project_root.name == "metagpt"
|
||||
assert project_root.name == "MetaGPT"
|
||||
|
||||
def test_get_root_exception(self):
|
||||
with pytest.raises(Exception) as exc_info:
|
||||
self.change_etc_dir()
|
||||
get_metagpt_root()
|
||||
assert str(exc_info.value) == "Project root not found."
|
||||
self.change_etc_dir()
|
||||
project_root = get_metagpt_root()
|
||||
assert project_root
|
||||
|
||||
def test_any_to_str(self):
|
||||
class Input(BaseModel):
|
||||
|
|
@ -65,8 +65,8 @@ class TestGetProjectRoot:
|
|||
want={"metagpt.roles.tutorial_assistant.TutorialAssistant", "metagpt.actions.run_code.RunCode", "a"},
|
||||
),
|
||||
Input(
|
||||
x={TutorialAssistant, RunCode(), "a"},
|
||||
want={"metagpt.roles.tutorial_assistant.TutorialAssistant", "metagpt.actions.run_code.RunCode", "a"},
|
||||
x={TutorialAssistant, "a"},
|
||||
want={"metagpt.roles.tutorial_assistant.TutorialAssistant", "a"},
|
||||
),
|
||||
Input(
|
||||
x=(TutorialAssistant, RunCode(), "a"),
|
||||
|
|
@ -77,6 +77,25 @@ class TestGetProjectRoot:
|
|||
v = any_to_str_set(i.x)
|
||||
assert v == i.want
|
||||
|
||||
def test_check_cmd_exists(self):
|
||||
class Input(BaseModel):
|
||||
command: str
|
||||
platform: str
|
||||
|
||||
inputs = [
|
||||
{"command": "cat", "platform": "linux"},
|
||||
{"command": "ls", "platform": "linux"},
|
||||
{"command": "mspaint", "platform": "windows"},
|
||||
]
|
||||
plat = "windows" if platform.system().lower() == "windows" else "linux"
|
||||
for i in inputs:
|
||||
seed = Input(**i)
|
||||
result = check_cmd_exists(seed.command)
|
||||
if plat == seed.platform:
|
||||
assert result == 0
|
||||
else:
|
||||
assert result != 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
pytest.main([__file__, "-s"])
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue