yilsemandClaude Opus 5.5
1ce5ab82cf
Adds the IDE's models and combos to Codex's model list and keeps conversation summaries readable across providers, so switching models in Codex no longer drops the conversation. Standard-library Python, run on the agent venv. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01HRDGW1LiKcDUZYUdKBoWYW
84 lines
4.0 KiB
Python
84 lines
4.0 KiB
Python
"""Regression coverage for Codex -> external API access_programs compatibility."""
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import ast
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import copy
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import json
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from pathlib import Path
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import unittest
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from unittest.mock import Mock
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import urllib.request
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# Load only the actual adapter and routing method: no catalog/network/thread
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# startup or credential loading is needed to exercise the production code.
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source = ast.parse(Path(__file__).with_name("bridge.py").read_text(encoding="utf-8"))
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flatten = next(n for n in source.body if isinstance(n, ast.FunctionDef) and n.name == "flatten_request")
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claude_sonu = next(n for n in source.body if isinstance(n, ast.FunctionDef) and n.name == "claude_sonu_duzelt")
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handler = next(n for n in source.body if isinstance(n, ast.ClassDef) and n.name == "H")
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responses = next(n for n in handler.body if isinstance(n, ast.FunctionDef) and n.name == "_responses")
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class AccessPrograms(unittest.TestCase):
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def setUp(self):
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self.upstream = Mock(return_value=Mock(status=200))
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self.env = {
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"json": json,
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"urllib": Mock(request=Mock(Request=urllib.request.Request, urlopen=self.upstream)),
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"decompress": lambda body, encoding: body,
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"MODEL_MAP": {},
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"CFG": {"nine_router_catalog": {"enabled": True, "route": "9router", "prefix": "9r/"},
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"resim_sadelestir": False, "pano_kanca_user": False},
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"ROUTES": {"9router": {"url": "https://example.invalid/v1/responses", "key": "test-only", "flatten_tools": True}},
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"fix_tool_ids": lambda req: 0,
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"drop_foreign_items": lambda req: 0,
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"SseRewriter": Mock(),
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"log": lambda message: None,
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"DEBUG": False, "UA": "test", "RETRIES": 1, "UPSTREAM_IDLE_TIMEOUT": 3900,
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}
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exec(compile(ast.Module(body=[flatten, claude_sonu, responses], type_ignores=[]), "bridge.py", "exec"), self.env)
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def request(self, model):
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return {"model": model, "access_programs": {"cyber": "standard"},
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"metadata": {"access_programs": "preserve nested data"},
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"input": [{"role": "user", "content": [{"type": "input_text", "text": "hello"}]}],
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"tools": [{"type": "function", "name": "echo", "parameters": {"type": "object", "properties": {}}}]}
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def test_adapter_removes_only_top_level_field(self):
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req = self.request("meta/muse-spark-1.3")
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original = copy.deepcopy(req)
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self.env["flatten_request"](req)
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self.assertNotIn("access_programs", req)
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self.assertEqual(req["metadata"], original["metadata"])
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self.assertEqual(req["input"], original["input"])
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self.assertEqual(req["tools"][0]["name"], "echo")
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def test_absent_null_and_empty_values(self):
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for value in (None, {}, {"cyber": "standard"}):
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with self.subTest(value=value):
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req = {"input": [], "access_programs": value}
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self.env["flatten_request"](req)
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self.assertNotIn("access_programs", req)
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self.env["flatten_request"]({"input": []})
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def test_model_and_combo_external_request_strips_field(self):
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for model in ("9r/meta/muse-spark-1.3-contributor", "9r/Fusion-Hizli"):
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with self.subTest(model=model):
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body = json.dumps(self.request(model)).encode()
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fake = Mock(headers={})
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self.env["_responses"](fake, 1, "/responses", body)
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sent = json.loads(self.upstream.call_args.args[0].data)
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self.assertNotIn("access_programs", sent)
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self.assertEqual(sent["model"], model.removeprefix("9r/"))
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self.assertIn("access_programs", json.loads(body))
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fake._stream.assert_called_once()
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def test_chatgpt_passthrough_preserves_original_body(self):
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body = json.dumps(self.request("gpt-6-astra")).encode()
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fake = Mock(headers={})
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self.env["_responses"](fake, 1, "/responses", body)
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self.assertEqual(fake._passthrough.call_args.args[2], body)
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self.upstream.assert_not_called()
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if __name__ == "__main__":
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unittest.main()
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