mirror of
https://github.com/Aider-AI/aider.git
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324 lines
11 KiB
Python
324 lines
11 KiB
Python
import os
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import shutil
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import tempfile
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import unittest
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from pathlib import Path
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from unittest.mock import MagicMock, patch
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from aider import models
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from aider.coders import Coder
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from aider.coders.wholefile_coder import WholeFileCoder
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from aider.dump import dump # noqa: F401
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from aider.io import InputOutput
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class TestWholeFileCoder(unittest.TestCase):
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def setUp(self):
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self.original_cwd = os.getcwd()
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self.tempdir = tempfile.mkdtemp()
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os.chdir(self.tempdir)
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self.patcher = patch("aider.coders.base_coder.check_model_availability")
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self.mock_check = self.patcher.start()
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self.mock_check.return_value = True
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def tearDown(self):
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os.chdir(self.original_cwd)
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shutil.rmtree(self.tempdir, ignore_errors=True)
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self.patcher.stop()
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def test_no_files(self):
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[])
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coder.partial_response_content = (
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'To print "Hello, World!" in most programming languages, you can use the following'
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' code:\n\n```python\nprint("Hello, World!")\n```\n\nThis code will output "Hello,'
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' World!" to the console.'
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)
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# This is throwing ValueError!
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coder.render_incremental_response(True)
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def test_no_files_new_file_should_ask(self):
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io = InputOutput(yes=False) # <- yes=FALSE
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[])
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coder.partial_response_content = (
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'To print "Hello, World!" in most programming languages, you can use the following'
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' code:\n\nfoo.js\n```python\nprint("Hello, World!")\n```\n\nThis code will output'
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' "Hello, World!" to the console.'
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)
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coder.update_files()
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self.assertFalse(Path("foo.js").exists())
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def test_update_files(self):
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Set the partial response content with the updated content
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coder.partial_response_content = f"{sample_file}\n```\nUpdated content\n```"
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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def test_update_files_live_diff(self):
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("\n".join(map(str, range(0, 100))))
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Set the partial response content with the updated content
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coder.partial_response_content = f"{sample_file}\n```\n0\n\1\n2\n"
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lines = coder.update_files(mode="diff").splitlines()
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# the live diff should be concise, since we haven't changed anything yet
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self.assertLess(len(lines), 20)
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def test_update_files_with_existing_fence(self):
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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original_content = """
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Here is some quoted text:
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```
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Quote!
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```
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"""
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with open(sample_file, "w") as f:
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f.write(original_content)
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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coder.choose_fence()
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self.assertNotEqual(coder.fence[0], "```")
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# Set the partial response content with the updated content
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coder.partial_response_content = (
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f"{sample_file}\n{coder.fence[0]}\nUpdated content\n{coder.fence[1]}"
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)
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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def test_update_files_bogus_path_prefix(self):
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Set the partial response content with the updated content
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# With path/to/ prepended onto the filename
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coder.partial_response_content = f"path/to/{sample_file}\n```\nUpdated content\n```"
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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def test_update_files_not_in_chat(self):
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io)
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# Set the partial response content with the updated content
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coder.partial_response_content = f"{sample_file}\n```\nUpdated content\n```"
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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def test_update_files_no_filename_single_file_in_chat(self):
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sample_file = "accumulate.py"
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content = (
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"def accumulate(collection, operation):\n return [operation(x) for x in"
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" collection]\n"
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)
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Set the partial response content with the updated content
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coder.partial_response_content = (
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f"Here's the modified `{sample_file}` file that implements the `accumulate`"
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f" function as per the given instructions:\n\n```\n{content}```\n\nThis"
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" implementation uses a list comprehension to apply the `operation` function to"
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" each element of the `collection` and returns the resulting list."
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)
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn(sample_file, edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, content)
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def test_update_files_earlier_filename(self):
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fname_a = Path("a.txt")
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fname_b = Path("b.txt")
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fname_a.write_text("before a\n")
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fname_b.write_text("before b\n")
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response = """
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Here is a new version of `a.txt` for you to consider:
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```
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after a
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```
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And here is `b.txt`:
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```
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after b
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```
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"""
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[fname_a, fname_b])
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# Set the partial response content with the updated content
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coder.partial_response_content = response
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn(str(fname_a), edited_files)
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self.assertIn(str(fname_b), edited_files)
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self.assertEqual(fname_a.read_text(), "after a\n")
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self.assertEqual(fname_b.read_text(), "after b\n")
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def test_update_named_file_but_extra_unnamed_code_block(self):
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sample_file = "hello.py"
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new_content = "new\ncontent\ngoes\nhere\n"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Set the partial response content with the updated content
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coder.partial_response_content = (
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f"Here's the modified `{sample_file}` file that implements the `accumulate`"
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f" function as per the given instructions:\n\n```\n{new_content}```\n\nThis"
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" implementation uses a list comprehension to apply the `operation` function to"
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" each element of the `collection` and returns the resulting list.\n"
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"Run it like this:\n\n"
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"```\npython {sample_file}\n```\n\n"
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)
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn(sample_file, edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, new_content)
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def test_full_edit(self):
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# Create a few temporary files
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_, file1 = tempfile.mkstemp()
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with open(file1, "w", encoding="utf-8") as f:
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f.write("one\ntwo\nthree\n")
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files = [file1]
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# Initialize the Coder object with the mocked IO and mocked repo
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coder = Coder.create(models.GPT4, "whole", io=InputOutput(), fnames=files)
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# no trailing newline so the response content below doesn't add ANOTHER newline
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new_content = "new\ntwo\nthree"
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def mock_send(*args, **kwargs):
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coder.partial_response_content = f"""
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Do this:
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{Path(file1).name}
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```
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{new_content}
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```
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"""
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coder.partial_response_function_call = dict()
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coder.send = MagicMock(side_effect=mock_send)
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# Call the run method with a message
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coder.run(with_message="hi")
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content = Path(file1).read_text(encoding="utf-8")
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# check for one trailing newline
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self.assertEqual(content, new_content + "\n")
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if __name__ == "__main__":
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unittest.main()
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