From 35fc52f791bcda1b61579ccfab5387800f6b5663 Mon Sep 17 00:00:00 2001 From: gabrii Date: Wed, 17 Sep 2025 16:22:19 +0200 Subject: [PATCH 01/18] Fix typo on replay name --- .../downstream_request.json | 0 .../downstream_response.sse | 0 .../upstream_request.json | 0 .../upstream_response.sse | 0 tests/test_replays.py | 2 +- 5 files changed, 1 insertion(+), 1 deletion(-) rename tests/recordings/{multiple_ping_pong => multiple_ping_pongs}/downstream_request.json (100%) rename tests/recordings/{multiple_ping_pong => multiple_ping_pongs}/downstream_response.sse (100%) rename tests/recordings/{multiple_ping_pong => multiple_ping_pongs}/upstream_request.json (100%) rename tests/recordings/{multiple_ping_pong => multiple_ping_pongs}/upstream_response.sse (100%) diff --git a/tests/recordings/multiple_ping_pong/downstream_request.json b/tests/recordings/multiple_ping_pongs/downstream_request.json similarity index 100% rename from tests/recordings/multiple_ping_pong/downstream_request.json rename to tests/recordings/multiple_ping_pongs/downstream_request.json diff --git a/tests/recordings/multiple_ping_pong/downstream_response.sse b/tests/recordings/multiple_ping_pongs/downstream_response.sse similarity index 100% rename from tests/recordings/multiple_ping_pong/downstream_response.sse rename to tests/recordings/multiple_ping_pongs/downstream_response.sse diff --git a/tests/recordings/multiple_ping_pong/upstream_request.json b/tests/recordings/multiple_ping_pongs/upstream_request.json similarity index 100% rename from tests/recordings/multiple_ping_pong/upstream_request.json rename to tests/recordings/multiple_ping_pongs/upstream_request.json diff --git a/tests/recordings/multiple_ping_pong/upstream_response.sse b/tests/recordings/multiple_ping_pongs/upstream_response.sse similarity index 100% rename from tests/recordings/multiple_ping_pong/upstream_response.sse rename to tests/recordings/multiple_ping_pongs/upstream_response.sse diff --git a/tests/test_replays.py b/tests/test_replays.py index 9dc8be8..661582e 100644 --- a/tests/test_replays.py +++ b/tests/test_replays.py @@ -15,7 +15,7 @@ class TestOnePingPong(ReplyBase): class TestMultiplePingPongs(ReplyBase): """Test multiple ping-pong interactions back and forth, no tool calls.""" - recording = "one_ping_pong" + recording = "multiple_ping_pongs" class TestContextWithSingleToolCalls(ReplyBase): From 0f43b84fbc866dc69e0a0b920ba97d6505184338 Mon Sep 17 00:00:00 2001 From: gabrii Date: Wed, 17 Sep 2025 16:29:04 +0200 Subject: [PATCH 02/18] Remove early response functionality --- app/azure/adapter.py | 9 ++------- app/azure/request_adapter.py | 19 +++---------------- 2 files changed, 5 insertions(+), 23 deletions(-) diff --git a/app/azure/adapter.py b/app/azure/adapter.py index 64ea65b..4e9e85e 100644 --- a/app/azure/adapter.py +++ b/app/azure/adapter.py @@ -23,12 +23,11 @@ class AzureAdapter: Provides a Completions-compatible interface to the caller by composing a RequestAdapter (pre-request transformations) and a ResponseAdapter (post-request transformations). The adapters receive a reference to this - instance for shared per-request state (models/early_response). + instance for shared per-request state (models). """ # Per-request state (streaming completions only) inbound_model: Optional[str] = None - early_response: Optional[Response] = None def __init__(self) -> None: """Initialize child adapters and shared state references.""" @@ -42,16 +41,12 @@ class AzureAdapter: High-level flow: 1) RequestAdapter builds the upstream request kwargs and stores state - on this adapter (models) or sets early_response. + on this adapter (models). 2) Perform the upstream HTTP call using a short-lived requests call. 3) ResponseAdapter converts the upstream response into a Flask Response. """ request_kwargs = self.request_adapter.adapt(req) - # Allow early short-circuit responses (e.g., config errors) - if self.early_response is not None: - return self.early_response - record_payload(request_kwargs.get("json", {}), "upstream_request") # Perform upstream request with kwargs directly (no long-lived session) diff --git a/app/azure/request_adapter.py b/app/azure/request_adapter.py index 24d1e0e..b669312 100644 --- a/app/azure/request_adapter.py +++ b/app/azure/request_adapter.py @@ -9,7 +9,7 @@ from __future__ import annotations import json from typing import Any, Dict, List, Optional -from flask import Request, Response, current_app +from flask import Request, current_app class RequestAdapter: @@ -17,9 +17,7 @@ class RequestAdapter: Transforms OpenAI Completions/Chat-style inputs into Azure Responses API request parameters suitable for streaming completions in this codebase. - Returns request_kwargs for requests.request(**kwargs). If an early - short-circuit is needed (for example, missing config), sets - self.adapter.early_response and returns an empty dict. Also sets + Returns request_kwargs for requests.request(**kwargs). Also sets per-request state on the adapter (model). """ @@ -194,22 +192,11 @@ class RequestAdapter: def adapt(self, req: Request) -> Dict[str, Any]: """Build requests.request kwargs for the Azure Responses API call. - Validates the inbound request, sets early_response on error, maps inputs - to the Responses schema, and returns a dict suitable for + Maps inputs to the Responses schema and returns a dict suitable for requests.request(**kwargs). """ # Reset per-request state self.adapter.inbound_model = None - self.adapter.early_response = None - - # Validate method - if (req.method or "").upper() != "POST": - self.adapter.early_response = Response( - "Only POST supported for Azure backend", - status=405, - mimetype="text/plain", - ) - return {} # Parse request body raw_body = req.get_data(cache=True) From f808f2d5fdae37a8e49613c36cb93cde2bdc7715 Mon Sep 17 00:00:00 2001 From: gabrii Date: Wed, 17 Sep 2025 16:34:06 +0200 Subject: [PATCH 03/18] Parametrize status codes, headers, and more in ReplyBase --- tests/replay_base.py | 112 ++++++++++++++++++++++++------------------- 1 file changed, 63 insertions(+), 49 deletions(-) diff --git a/tests/replay_base.py b/tests/replay_base.py index f2535d1..a36267d 100644 --- a/tests/replay_base.py +++ b/tests/replay_base.py @@ -6,7 +6,8 @@ See: http://webtest.readthedocs.org/ import json import os import re -from typing import Any +from io import BytesIO +from typing import Any, Dict from requests_mock import MockerCore from webtest import TestApp @@ -20,28 +21,53 @@ class ReplyBase: """ # The subdirectory under tests/recordings/ to load fixtures from - recording: str + recording: str = "default_recording" + upstream_status_code: int = 200 + expected_downstream_status_code: int = 200 # Endpoint to mock for the upstream request UPSTREAM_URL = "https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview" - def _get_request_path(self, kind: str) -> str: - """Return path for a recorded request JSON of given kind. + def _get_recording_path(self, file_name: str) -> str: + return os.path.join("tests", "recordings", self.recording, file_name) - Example: kind="upstream" -> tests/recordings//upstream_request.json - """ - return os.path.join( - "tests", "recordings", self.recording, f"{kind}_request.json" - ) + def _get_request_body(self, kind: str) -> str: + request_path = self._get_recording_path(f"{kind}_request.json") + with open(request_path, "r") as f: + return f.read() - def _get_response_path(self, kind: str) -> str: - """Return path for a recorded response SSE of given kind. + def _get_response_body(self, kind: str) -> bytes: + response_path = self._get_recording_path(f"{kind}_response.sse") + with open(response_path, "rb") as f: + return f.read() - Example: kind="downstream" -> tests/recordings//downstream_response.sse - """ - return os.path.join( - "tests", "recordings", self.recording, f"{kind}_response.sse" - ) + @property + def expected_upstream_request_body(self) -> str: + """Return recorded upstream request JSON string.""" + return self._get_request_body("upstream") + + @property + def downstream_request_body(self) -> str: + """Return recorded downstream request JSON string.""" + return self._get_request_body("downstream") + + @property + def upstream_response_body(self) -> bytes: + """Return recorded upstream response SSE bytes.""" + return self._get_response_body("upstream") + + @property + def expected_downstream_response_body(self) -> bytes: + """Return recorded downstream response SSE bytes.""" + return self._get_response_body("downstream") + + @property + def downstream_request_headers(self) -> Dict[str, str]: + """Return headers for the downstream request.""" + return { + "Content-Type": "application/json", + "Authorization": "Bearer test-service-api-key", + } def _normalize_response(self, sse_response: bytes) -> str: """Normalize the response id and created timestamp (use re.sub).""" @@ -52,55 +78,43 @@ class ReplyBase: text = re.sub(r'"created":(\d+)', '"created":1234567890', text) return text - def _mock_upstream(self, requests_mock: MockerCore) -> Any: + def mock_upstream(self, requests_mock: MockerCore) -> Any: """Mock upstream request with recorded SSE upstream response. Returns the mock object so callers can inspect ``last_request``. """ - upstream_response_path = self._get_response_path("upstream") return requests_mock.post( self.UPSTREAM_URL, - body=open( - upstream_response_path, "rb" - ), # Yes, we need to pass the file object here, not the .read() result + status_code=self.upstream_status_code, + body=BytesIO(self.upstream_response_body), ) - def _perform_downstream_request(self, testapp: TestApp): + def perform_downstream_request(self, testapp: TestApp): """Perform recorded downstream request and return the response.""" - downstream_request_path = self._get_request_path("downstream") - with open(downstream_request_path, "r") as f: - downstream_request = f.read() + return testapp.post( "/chat/completions", - status=200, - params=downstream_request, - headers={ - "Content-Type": "application/json", - "Authorization": "Bearer test-service-api-key", - }, + status=self.expected_downstream_status_code, + params=self.downstream_request_body, + headers=self.downstream_request_headers, ) - def _verify_upstream_request(self, mock: Any) -> None: - """Verify upstream request matches the recorded upstream request.""" - upstream_request_path = self._get_request_path("upstream") - with open(upstream_request_path, "r") as f: - upstream_request = json.load(f) - assert mock.last_request.json() == upstream_request + def assert_upstream_request(self, mock: Any) -> None: + """Assert upstream request matches the recorded upstream request.""" + expected_upstream_request_json = json.loads(self.expected_upstream_request_body) + assert mock.last_request.json() == expected_upstream_request_json - def _verify_downstream_response(self, response) -> None: - """Verify downstream response matches the recorded downstream response.""" - downstream_response_path = self._get_response_path("downstream") - with open(downstream_response_path, "rb") as f: - recorded_downstream_response = f.read() + def assert_downstream_response(self, response) -> None: + """Assert downstream response matches the recorded downstream response.""" response_normalized = self._normalize_response(response.body) - recorded_response_normalized = self._normalize_response( - recorded_downstream_response + expected_response_normalized = self._normalize_response( + self.expected_downstream_response_body ) - assert response_normalized == recorded_response_normalized + assert response_normalized == expected_response_normalized def test(self, testapp: TestApp, requests_mock: MockerCore): """Run the replay flow using the configured recording fixtures.""" - mock = self._mock_upstream(requests_mock) - response = self._perform_downstream_request(testapp) - self._verify_upstream_request(mock) - self._verify_downstream_response(response) + mock = self.mock_upstream(requests_mock) + response = self.perform_downstream_request(testapp) + self.assert_upstream_request(mock) + self.assert_downstream_response(response) From 868fca2182acd6ae7f09b32072437ed90d544960 Mon Sep 17 00:00:00 2001 From: gabrii Date: Wed, 17 Sep 2025 18:25:16 +0200 Subject: [PATCH 04/18] Add tests for azure errors --- tests/test_azure_errors.py | 118 +++++++++++++++++++++++++++++++++++++ 1 file changed, 118 insertions(+) create mode 100644 tests/test_azure_errors.py diff --git a/tests/test_azure_errors.py b/tests/test_azure_errors.py new file mode 100644 index 0000000..f3f45c4 --- /dev/null +++ b/tests/test_azure_errors.py @@ -0,0 +1,118 @@ +"""Functional tests using WebTest. + +See: http://webtest.readthedocs.org/ +""" + +from .replay_base import ReplyBase + + +class TestError400(ReplyBase): + """Test a single ping-pong interaction, no tool calls.""" + + upstream_status_code = 400 + expected_downstream_status_code = 400 + upstream_response_body = b'{"foo": "bar"}' + expected_downstream_response_body = b""" +Check "azure_response" for the error details: +\t{ +\t "endpoint": "https://t***e.openai.azure.com/openai/responses?api-version=2025-04-01-preview", +\t "azure_status_code": 400, +\t "azure_response": { +\t "foo": "bar" +\t }, +\t "request_body": { +\t "instructions": "REDACTE...", +\t "input": "...redacted 2 input items...", +\t "model": "gpt-5", +\t "tools": "...redacted 11 tools...", +\t "tool_choice": "auto", +\t "prompt_cache_key": "RED***TED", +\t "stream": true, +\t "reasoning": { +\t "effort": "minimal", +\t "summary": "detailed" +\t }, +\t "store": false, +\t "stream_options": { +\t "include_obfuscation": false +\t }, +\t "truncation": "auto" +\t } +\t} +If the issue persists, report it to: +\thttps://github.com/gabrii/Cursor-Azure-GPT-5/issues +Including all the details above""" + + +class TestError401(ReplyBase): + """Test a single ping-pong interaction, no tool calls.""" + + upstream_status_code = 401 + expected_downstream_status_code = 400 + upstream_response_body = b'{"error": "Bad API Key or whatever"}' + expected_downstream_response_body = b""" +Check "azure_response" for the error details: +\t{ +\t "endpoint": "https://t***e.openai.azure.com/openai/responses?api-version=2025-04-01-preview", +\t "azure_status_code": 401, +\t "azure_response": { +\t "error": "Bad API Key or whatever" +\t }, +\t "request_body": { +\t "instructions": "REDACTE...", +\t "input": "...redacted 2 input items...", +\t "model": "gpt-5", +\t "tools": "...redacted 11 tools...", +\t "tool_choice": "auto", +\t "prompt_cache_key": "RED***TED", +\t "stream": true, +\t "reasoning": { +\t "effort": "minimal", +\t "summary": "detailed" +\t }, +\t "store": false, +\t "stream_options": { +\t "include_obfuscation": false +\t }, +\t "truncation": "auto" +\t } +\t} +If the issue persists, report it to: +\thttps://github.com/gabrii/Cursor-Azure-GPT-5/issues +Including all the details above""" + + +class TestError500(ReplyBase): + """Test an error response where the response body is not json.""" + + upstream_status_code = 500 + expected_downstream_status_code = 500 + upstream_response_body = b"Internal Server Error" + expected_downstream_response_body = b""" +Check "azure_response" for the error details: +\t{ +\t "endpoint": "https://t***e.openai.azure.com/openai/responses?api-version=2025-04-01-preview", +\t "azure_status_code": 500, +\t "azure_response": "Internal Server Error", +\t "request_body": { +\t "instructions": "REDACTE...", +\t "input": "...redacted 2 input items...", +\t "model": "gpt-5", +\t "tools": "...redacted 11 tools...", +\t "tool_choice": "auto", +\t "prompt_cache_key": "RED***TED", +\t "stream": true, +\t "reasoning": { +\t "effort": "minimal", +\t "summary": "detailed" +\t }, +\t "store": false, +\t "stream_options": { +\t "include_obfuscation": false +\t }, +\t "truncation": "auto" +\t } +\t} +If the issue persists, report it to: +\thttps://github.com/gabrii/Cursor-Azure-GPT-5/issues +Including all the details above""" From 35ff9c9d07fb2bc85fc846a536ce01f4bc62348a Mon Sep 17 00:00:00 2001 From: gabrii Date: Wed, 17 Sep 2025 18:25:33 +0200 Subject: [PATCH 05/18] Prune seamingly unused code --- app/azure/adapter.py | 2 +- app/azure/request_adapter.py | 72 +++-------------------------------- app/azure/response_adapter.py | 40 +------------------ app/common/logging.py | 29 +------------- app/common/recording.py | 2 - app/common/sse.py | 18 --------- 6 files changed, 10 insertions(+), 153 deletions(-) diff --git a/app/azure/adapter.py b/app/azure/adapter.py index 4e9e85e..a5fc4ef 100644 --- a/app/azure/adapter.py +++ b/app/azure/adapter.py @@ -61,7 +61,7 @@ class AzureAdapter: try: resp_content = resp.json() except ValueError: - resp_content = resp.content + resp_content = resp.text body = request_kwargs.get("json", {}) if "instructions" in body: diff --git a/app/azure/request_adapter.py b/app/azure/request_adapter.py index b669312..176a314 100644 --- a/app/azure/request_adapter.py +++ b/app/azure/request_adapter.py @@ -6,7 +6,6 @@ requests into Azure Responses API request parameters. from __future__ import annotations -import json from typing import Any, Dict, List, Optional from flask import Request, current_app @@ -49,17 +48,6 @@ class RequestAdapter: mapping[original] = norm return norm - def _parse_json_body(self, req: Request, body: bytes) -> Optional[Any]: - if not body: - return None - data = req.get_json(silent=True, force=False) - if data is not None: - return data - try: - return json.loads(body.decode(req.charset or "utf-8", errors="replace")) - except json.JSONDecodeError: - return None - def _copy_request_headers_for_azure( self, src: Request, *, api_key: str ) -> Dict[str, str]: @@ -76,24 +64,6 @@ class RequestAdapter: instructions_parts: List[str] = [] input_items: List[Dict[str, Any]] = [] - def content_to_text(c: Any) -> str: - if c is None: - return "" - if isinstance(c, str): - return c - if isinstance(c, list): - parts: List[str] = [] - for it in c: - if isinstance(it, dict): - if it.get("type") in {"text", "input_text"} and "text" in it: - parts.append(str(it.get("text", ""))) - elif "content" in it and isinstance(it["content"], str): - parts.append(it["content"]) - else: - parts.append(str(it)) - return "\n".join([p for p in parts if p]) - return json.dumps(c, ensure_ascii=False) - # Maintain stable mapping of long tool call ids within a single request call_id_map: Dict[str, str] = {} @@ -101,7 +71,7 @@ class RequestAdapter: role = m.get("role") c = m.get("content") if role in {"system", "developer"}: - text = content_to_text(c) + text = c if text: instructions_parts.append(text) continue @@ -114,13 +84,13 @@ class RequestAdapter: ) item = { "type": "function_call_output", - "output": content_to_text(c), + "output": c, "status": "completed", "call_id": norm_call_id, } input_items.append(item) else: - text = content_to_text(c) + text = c item = { "role": role or "user", "content": [ @@ -152,13 +122,8 @@ class RequestAdapter: } def _transform_tools_for_responses(self, tools: Any) -> Any: - if not isinstance(tools, list): - return tools out: List[Dict[str, Any]] = [] for t in tools: - if not isinstance(t, dict): - out.append(t) - continue ttype = t.get("type") if ttype == "function" and isinstance(t.get("function"), dict): f = t["function"] @@ -172,22 +137,8 @@ class RequestAdapter: transformed["parameters"] = f["parameters"] transformed["strict"] = False out.append(transformed) - else: - out.append(t) return out - def _transform_tool_choice(self, tool_choice: Any) -> Any: - if tool_choice in (None, "auto", "none"): - return tool_choice - if isinstance(tool_choice, dict): - t = tool_choice.get("type") - if t == "function": - fn = tool_choice.get("function") or {} - name = fn.get("name") - if name: - return {"type": "function", "name": name} - return tool_choice - # ---- Main adaptation (always streaming completions-like) ---- def adapt(self, req: Request) -> Dict[str, Any]: """Build requests.request kwargs for the Azure Responses API call. @@ -199,10 +150,7 @@ class RequestAdapter: self.adapter.inbound_model = None # Parse request body - raw_body = req.get_data(cache=True) - payload = self._parse_json_body(req, raw_body) - if not isinstance(payload, dict): - payload = {} + payload = req.get_json(silent=True, force=False) # Determine target model: prefer env AZURE_MODEL/AZURE_DEPLOYMENT inbound_model = payload.get("model") if isinstance(payload, dict) else None @@ -218,8 +166,6 @@ class RequestAdapter: messages = payload.get("messages") or [] tools_in = payload.get("tools") or [] tool_choice_in = payload.get("tool_choice") - top_p = payload.get("top_p") - max_tokens = payload.get("max_tokens") or payload.get("max_output_tokens") prompt_cache_key = payload.get("user") or payload.get("prompt_cache_key") mapped = ( @@ -238,15 +184,9 @@ class RequestAdapter: # Transform tools and tool choice if tools_in: responses_body["tools"] = self._transform_tools_for_responses(tools_in) - mapped_tool_choice = self._transform_tool_choice(tool_choice_in) - if mapped_tool_choice is not None: - responses_body["tool_choice"] = mapped_tool_choice + if tool_choice_in is not None: + responses_body["tool_choice"] = tool_choice_in - # Optional sampling/limits - if top_p is not None: - responses_body["top_p"] = top_p - if max_tokens is not None: - responses_body["max_output_tokens"] = max_tokens if prompt_cache_key is not None: responses_body["prompt_cache_key"] = prompt_cache_key diff --git a/app/azure/response_adapter.py b/app/azure/response_adapter.py index a851b9f..13b60c0 100644 --- a/app/azure/response_adapter.py +++ b/app/azure/response_adapter.py @@ -40,31 +40,6 @@ class ResponseAdapter: alphabet = ascii_letters + digits return "chatcmpl-" + "".join(random.choices(alphabet, k=24)) - @staticmethod - def _filter_response_headers( - headers: Dict[str, str], *, streaming: bool - ) -> Dict[str, str]: - """Filter hop-by-hop and incompatible headers for downstream responses.""" - # Minimal hop-by-hop headers list for downstream filtering - hop_by_hop_headers = { - "connection", - "keep-alive", - "proxy-authenticate", - "proxy-authorization", - "te", - "trailers", - "transfer-encoding", - "upgrade", - } - out: Dict[str, str] = {} - for k, v in headers.items(): - if k.lower() in hop_by_hop_headers: - continue - if streaming and k.lower() == "content-length": - continue - out[k] = v - return out - def _build_completion_chunk( self, *, @@ -91,8 +66,7 @@ class ResponseAdapter: self, obj: Optional[Dict[str, Any]] ) -> Iterable[Dict[str, Any]]: """Handle response.output_item.added events and emit chunks as needed.""" - if not isinstance(obj, dict): - return [] + item_type = obj.get("item", {}).get("type") if item_type == "reasoning": self._thinking = True @@ -142,13 +116,6 @@ class ResponseAdapter: ) -> Iterable[Dict[str, Any]]: """Handle response.function_call.arguments.delta events.""" out: list[Dict[str, Any]] = [] - if self._thinking: - out.append( - self._build_completion_chunk( - delta={"role": "assistant", "content": "\n\n"} - ) - ) - self._thinking = False arguments_delta = obj.get("delta", "") if isinstance(obj, dict) else "" out.append( self._build_completion_chunk( @@ -249,11 +216,8 @@ class ResponseAdapter: finally: upstream_resp.close() - headers = self._filter_response_headers( - dict(getattr(upstream_resp, "headers", {})), streaming=True - ) + headers = {} headers["Content-Type"] = "text/event-stream; charset=utf-8" - headers.pop("Content-Length", None) headers["Cache-Control"] = "no-cache" headers["Connection"] = "keep-alive" headers["X-Accel-Buffering"] = "no" diff --git a/app/common/logging.py b/app/common/logging.py index 8f7c041..80991ea 100644 --- a/app/common/logging.py +++ b/app/common/logging.py @@ -163,32 +163,6 @@ def log_request(req: Request) -> str: if messages: console.rule(f"Messages ({len(messages)})") - def render_content(content: Any) -> str: - """Render a message content value into readable text for logs.""" - # Show content with actual newlines - if content is None: - return "" - if isinstance(content, bytes): - return content.decode("utf-8", errors="replace") - if isinstance(content, str): - return content - if isinstance(content, list): - parts: List[str] = [] - for it in content: - if isinstance(it, dict): - t = it.get("type") - if t == "text" and "text" in it: - parts.append(str(it.get("text", ""))) - elif "content" in it and isinstance(it["content"], str): - parts.append(it["content"]) - else: - parts.append(json.dumps(it, ensure_ascii=False, indent=2)) - else: - parts.append(str(it)) - return "\n".join(p for p in parts if p is not None) - # Fallback: pretty JSON - return json.dumps(content, ensure_ascii=False, indent=2) - for idx, msg in enumerate(messages, start=1): role = "" content_val: Any = "" @@ -207,8 +181,7 @@ def log_request(req: Request) -> str: console.print( Padding( Markdown( - render_content(content_val) - .replace("<", "\n`<") + content_val.replace("<", "\n`<") .replace(">", ">`\n") .replace(">`\n\n\n`<", ">`\n\n`<") ), diff --git a/app/common/recording.py b/app/common/recording.py index d344512..3798cef 100644 --- a/app/common/recording.py +++ b/app/common/recording.py @@ -31,8 +31,6 @@ except FileNotFoundError: for entry in entries: entry_path = os.path.join(RECORDINGS_DIR, entry) - if not os.path.isdir(entry_path): - continue try: recording_index = int(entry) if recording_index > __LAST_RECORDING_INDEX: diff --git a/app/common/sse.py b/app/common/sse.py index 10fc927..2464e12 100644 --- a/app/common/sse.py +++ b/app/common/sse.py @@ -86,8 +86,6 @@ class SSEDecoder: retry: Optional[int] = None for line in lines: - if not line: - continue if line.startswith(b"event:"): ev_type = ( line.split(b":", 1)[1] @@ -99,22 +97,6 @@ class SSEDecoder: if part.startswith(b" "): part = part[1:] data_parts.append(part) - elif line.startswith(b"id:"): - val = line.split(b":", 1)[1] - if val.startswith(b" "): - val = val[1:] - ev_id = val.decode(self.encoding, errors="replace") - elif line.startswith(b"retry:"): - val = line.split(b":", 1)[1] - if val.startswith(b" "): - val = val[1:] - try: - retry = int(val.strip()) - except ValueError: - retry = None - elif line.startswith(b":"): - # Comment line, ignore - pass data_text = ( b"\n".join(data_parts).decode(self.encoding, errors="replace") From 88d124317cd605240275ff34b1c0587640876b8d Mon Sep 17 00:00:00 2001 From: gabrii Date: Wed, 17 Sep 2025 18:31:31 +0200 Subject: [PATCH 06/18] Add default recording for tests --- .../default_recording/downstream_request.json | 396 +++++++++++++++++ .../default_recording/downstream_response.sse | 10 + .../default_recording/upstream_request.json | 400 ++++++++++++++++++ .../default_recording/upstream_response.sse | 33 ++ 4 files changed, 839 insertions(+) create mode 100644 tests/recordings/default_recording/downstream_request.json create mode 100644 tests/recordings/default_recording/downstream_response.sse create mode 100644 tests/recordings/default_recording/upstream_request.json create mode 100644 tests/recordings/default_recording/upstream_response.sse diff --git a/tests/recordings/default_recording/downstream_request.json b/tests/recordings/default_recording/downstream_request.json new file mode 100644 index 0000000..faa20ae --- /dev/null +++ b/tests/recordings/default_recording/downstream_request.json @@ -0,0 +1,396 @@ +{ + "model": "gpt-minimal", + "temperature": 0, + "user": "REDACTED", + "messages": [ + { + "role": "system", + "content": "REDACTED" + }, + { + "role": "user", + "content": "REDACTED" + }, + { + "role": "user", + "content": "REDACTED" + } + ], + "tools": [ + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "explanation": { + "type": "string", + "description": "REDACTED" + }, + "query": { + "type": "string", + "description": "REDACTED" + }, + "target_directories": { + "type": "array", + "items": { + "type": "string" + }, + "description": "REDACTED" + }, + "search_only_prs": { + "type": "boolean", + "description": "REDACTED" + } + }, + "required": [ + "explanation", + "query", + "target_directories" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "command": { + "type": "string", + "description": "REDACTED" + }, + "is_background": { + "type": "boolean", + "description": "REDACTED" + }, + "explanation": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "command", + "is_background" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "pattern": { + "type": "string", + "description": "REDACTED" + }, + "path": { + "type": "string", + "description": "REDACTED" + }, + "glob": { + "type": "string", + "description": "REDACTED" + }, + "output_mode": { + "type": "string", + "description": "REDACTED", + "enum": [ + "content", + "files_with_matches", + "count" + ] + }, + "-B": { + "type": "number", + "description": "REDACTED" + }, + "-A": { + "type": "number", + "description": "REDACTED" + }, + "-C": { + "type": "number", + "description": "REDACTED" + }, + "-i": { + "type": "boolean", + "description": "REDACTED" + }, + "type": { + "type": "string", + "description": "REDACTED" + }, + "head_limit": { + "type": "number", + "description": "REDACTED" + }, + "multiline": { + "type": "boolean", + "description": "REDACTED" + } + }, + "required": [ + "pattern" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_file": { + "type": "string", + "description": "REDACTED" + }, + "explanation": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "target_file" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "paths": { + "description": "REDACTED", + "type": "array", + "items": { + "type": "string" + } + } + }, + "required": [] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_notebook": { + "type": "string", + "description": "REDACTED" + }, + "cell_idx": { + "type": "number", + "description": "REDACTED" + }, + "is_new_cell": { + "type": "boolean", + "description": "REDACTED" + }, + "cell_language": { + "type": "string", + "description": "REDACTED" + }, + "old_string": { + "type": "string", + "description": "REDACTED" + }, + "new_string": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "target_notebook", + "cell_idx", + "is_new_cell", + "cell_language", + "old_string", + "new_string" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "merge": { + "type": "boolean", + "description": "REDACTED" + }, + "todos": { + "type": "array", + "description": "REDACTED", + "items": { + "type": "object", + "properties": { + "content": { + "type": "string", + "description": "REDACTED" + }, + "status": { + "type": "string", + "enum": [ + "pending", + "in_progress", + "completed", + "cancelled" + ], + "description": "REDACTED" + }, + "id": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "content", + "status", + "id" + ] + }, + "minItems": 2 + } + }, + "required": [ + "merge", + "todos" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_file": { + "type": "string", + "description": "REDACTED" + }, + "instructions": { + "type": "string", + "description": "REDACTED" + }, + "code_edit": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "target_file", + "instructions", + "code_edit" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_file": { + "type": "string", + "description": "REDACTED" + }, + "offset": { + "type": "integer", + "description": "REDACTED" + }, + "limit": { + "type": "integer", + "description": "REDACTED" + } + }, + "required": [ + "target_file" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_directory": { + "type": "string", + "description": "REDACTED" + }, + "ignore_globs": { + "type": "array", + "items": { + "type": "string" + }, + "description": "REDACTED" + } + }, + "required": [ + "target_directory" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_directory": { + "type": "string", + "description": "REDACTED" + }, + "glob_pattern": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "glob_pattern" + ] + } + } + } + ], + "tool_choice": "auto", + "stream": true +} \ No newline at end of file diff --git a/tests/recordings/default_recording/downstream_response.sse b/tests/recordings/default_recording/downstream_response.sse new file mode 100644 index 0000000..e459820 --- /dev/null +++ b/tests/recordings/default_recording/downstream_response.sse @@ -0,0 +1,10 @@ +data: {"id":"chatcmpl-ERO7qkefORSgjuOmbThzZoG8","object":"chat.completion.chunk","created":1758093803,"model":"gpt-minimal","choices":[{"index":0,"delta":{"role":"assistant","content":"\n\n"},"finish_reason":null}]} + +data: {"id":"chatcmpl-ERO7qkefORSgjuOmbThzZoG8","object":"chat.completion.chunk","created":1758093804,"model":"gpt-minimal","choices":[{"index":0,"delta":{"role":"assistant","content":"\n\n"},"finish_reason":null}]} + +data: {"id":"chatcmpl-ERO7qkefORSgjuOmbThzZoG8","object":"chat.completion.chunk","created":1758093804,"model":"gpt-minimal","choices":[{"index":0,"delta":{"role":"assistant","content":"pong"},"finish_reason":null}]} + +data: {"id":"chatcmpl-ERO7qkefORSgjuOmbThzZoG8","object":"chat.completion.chunk","created":1758093806,"model":"gpt-minimal","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]} + +data: [DONE] + diff --git a/tests/recordings/default_recording/upstream_request.json b/tests/recordings/default_recording/upstream_request.json new file mode 100644 index 0000000..c6db862 --- /dev/null +++ b/tests/recordings/default_recording/upstream_request.json @@ -0,0 +1,400 @@ +{ + "instructions": "REDACTED", + "input": [ + { + "role": "user", + "content": [ + { + "type": "input_text", + "text": "REDACTED" + } + ] + }, + { + "role": "user", + "content": [ + { + "type": "input_text", + "text": "REDACTED" + } + ] + } + ], + "model": "gpt-5", + "tools": [ + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "explanation": { + "type": "string", + "description": "REDACTED" + }, + "query": { + "type": "string", + "description": "REDACTED" + }, + "target_directories": { + "type": "array", + "items": { + "type": "string" + }, + "description": "REDACTED" + }, + "search_only_prs": { + "type": "boolean", + "description": "REDACTED" + } + }, + "required": [ + "explanation", + "query", + "target_directories" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "command": { + "type": "string", + "description": "REDACTED" + }, + "is_background": { + "type": "boolean", + "description": "REDACTED" + }, + "explanation": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "command", + "is_background" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "pattern": { + "type": "string", + "description": "REDACTED" + }, + "path": { + "type": "string", + "description": "REDACTED" + }, + "glob": { + "type": "string", + "description": "REDACTED" + }, + "output_mode": { + "type": "string", + "description": "REDACTED", + "enum": [ + "content", + "files_with_matches", + "count" + ] + }, + "-B": { + "type": "number", + "description": "REDACTED" + }, + "-A": { + "type": "number", + "description": "REDACTED" + }, + "-C": { + "type": "number", + "description": "REDACTED" + }, + "-i": { + "type": "boolean", + "description": "REDACTED" + }, + "type": { + "type": "string", + "description": "REDACTED" + }, + "head_limit": { + "type": "number", + "description": "REDACTED" + }, + "multiline": { + "type": "boolean", + "description": "REDACTED" + } + }, + "required": [ + "pattern" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_file": { + "type": "string", + "description": "REDACTED" + }, + "explanation": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "target_file" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "paths": { + "description": "REDACTED", + "type": "array", + "items": { + "type": "string" + } + } + }, + "required": [] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_notebook": { + "type": "string", + "description": "REDACTED" + }, + "cell_idx": { + "type": "number", + "description": "REDACTED" + }, + "is_new_cell": { + "type": "boolean", + "description": "REDACTED" + }, + "cell_language": { + "type": "string", + "description": "REDACTED" + }, + "old_string": { + "type": "string", + "description": "REDACTED" + }, + "new_string": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "target_notebook", + "cell_idx", + "is_new_cell", + "cell_language", + "old_string", + "new_string" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "merge": { + "type": "boolean", + "description": "REDACTED" + }, + "todos": { + "type": "array", + "description": "REDACTED", + "items": { + "type": "object", + "properties": { + "content": { + "type": "string", + "description": "REDACTED" + }, + "status": { + "type": "string", + "enum": [ + "pending", + "in_progress", + "completed", + "cancelled" + ], + "description": "REDACTED" + }, + "id": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "content", + "status", + "id" + ] + }, + "minItems": 2 + } + }, + "required": [ + "merge", + "todos" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_file": { + "type": "string", + "description": "REDACTED" + }, + "instructions": { + "type": "string", + "description": "REDACTED" + }, + "code_edit": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "target_file", + "instructions", + "code_edit" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_file": { + "type": "string", + "description": "REDACTED" + }, + "offset": { + "type": "integer", + "description": "REDACTED" + }, + "limit": { + "type": "integer", + "description": "REDACTED" + } + }, + "required": [ + "target_file" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_directory": { + "type": "string", + "description": "REDACTED" + }, + "ignore_globs": { + "type": "array", + "items": { + "type": "string" + }, + "description": "REDACTED" + } + }, + "required": [ + "target_directory" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_directory": { + "type": "string", + "description": "REDACTED" + }, + "glob_pattern": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "glob_pattern" + ] + }, + "strict": false + } + ], + "tool_choice": "auto", + "prompt_cache_key": "REDACTED", + "stream": true, + "reasoning": { + "effort": "minimal", + "summary": "detailed" + }, + "store": false, + "stream_options": { + "include_obfuscation": false + }, + "truncation": "auto" +} \ No newline at end of file diff --git a/tests/recordings/default_recording/upstream_response.sse b/tests/recordings/default_recording/upstream_response.sse new file mode 100644 index 0000000..03731da --- /dev/null +++ b/tests/recordings/default_recording/upstream_response.sse @@ -0,0 +1,33 @@ +event: response.created +data: {"type":"response.created","sequence_number":0,"response":{"id":"resp_68ca61ea133c8190a25851b67c2dc1fa000638fabbdbe241","object":"response","created_at":1758093802,"status":"in_progress","background":false,"content_filters":null,"error":null,"incomplete_details":null,"instructions":"REDACTED","max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5","output":[],"parallel_tool_calls":true,"previous_response_id":null,"prompt_cache_key":"REDACTED","reasoning":{"effort":"minimal","summary":"detailed"},"safety_identifier":null,"service_tier":"auto","store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"explanation":{"type":"string","description":"REDACTED"},"query":{"type":"string","description":"REDACTED"},"target_directories":{"type":"array","items":{"type":"string"},"description":"REDACTED"},"search_only_prs":{"type":"boolean","description":"REDACTED"}},"required":["explanation","query","target_directories"]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"command":{"type":"string","description":"REDACTED"},"is_background":{"type":"boolean","description":"REDACTED"},"explanation":{"type":"string","description":"REDACTED"}},"required":["command","is_background"]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"pattern":{"type":"string","description":"REDACTED"},"path":{"type":"string","description":"REDACTED"},"glob":{"type":"string","description":"REDACTED"},"output_mode":{"type":"string","description":"REDACTED","enum":["content","files_with_matches","count"]},"-B":{"type":"number","description":"REDACTED"},"-A":{"type":"number","description":"REDACTED"},"-C":{"type":"number","description":"REDACTED"},"-i":{"type":"boolean","description":"REDACTED"},"type":{"type":"string","description":"REDACTED"},"head_limit":{"type":"number","description":"REDACTED"},"multiline":{"type":"boolean","description":"REDACTED"}},"required":["pattern"]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"target_file":{"type":"string","description":"REDACTED"},"explanation":{"type":"string","description":"REDACTED"}},"required":["target_file"]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"paths":{"description":"REDACTED","type":"array","items":{"type":"string"}}},"required":[]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"target_notebook":{"type":"string","description":"REDACTED"},"cell_idx":{"type":"number","description":"REDACTED"},"is_new_cell":{"type":"boolean","description":"REDACTED"},"cell_language":{"type":"string","description":"REDACTED"},"old_string":{"type":"string","description":"REDACTED"},"new_string":{"type":"string","description":"REDACTED"}},"required":["target_notebook","cell_idx","is_new_cell","cell_language","old_string","new_string"]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"merge":{"type":"boolean","description":"REDACTED"},"todos":{"type":"array","description":"REDACTED","items":{"type":"object","properties":{"content":{"type":"string","description":"REDACTED"},"status":{"type":"string","enum":["pending","in_progress","completed","cancelled"],"description":"REDACTED"},"id":{"type":"string","description":"REDACTED"}},"required":["content","status","id"]},"minItems":2}},"required":["merge","todos"]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"target_file":{"type":"string","description":"REDACTED"},"instructions":{"type":"string","description":"REDACTED"},"code_edit":{"type":"string","description":"REDACTED"}},"required":["target_file","instructions","code_edit"]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"target_file":{"type":"string","description":"REDACTED"},"offset":{"type":"integer","description":"REDACTED"},"limit":{"type":"integer","description":"REDACTED"}},"required":["target_file"]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"target_directory":{"type":"string","description":"REDACTED"},"ignore_globs":{"type":"array","items":{"type":"string"},"description":"REDACTED"}},"required":["target_directory"]},"strict":false},{"type":"function","description":"REDACTED","name":"REDACTED","parameters":{"type":"object","properties":{"target_directory":{"type":"string","description":"REDACTED"},"glob_pattern":{"type":"string","description":"REDACTED"}},"required":["glob_pattern"]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+ From 933567edc0a0247171b55cf5107696ec956f6460 Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 07:59:25 +0200 Subject: [PATCH 07/18] Remove call id normalization --- app/azure/request_adapter.py | 42 ++++++------------------------------ 1 file changed, 6 insertions(+), 36 deletions(-) diff --git a/app/azure/request_adapter.py b/app/azure/request_adapter.py index 176a314..35fd405 100644 --- a/app/azure/request_adapter.py +++ b/app/azure/request_adapter.py @@ -6,7 +6,7 @@ requests into Azure Responses API request parameters. from __future__ import annotations -from typing import Any, Dict, List, Optional +from typing import Any, Dict, List from flask import Request, current_app @@ -25,29 +25,6 @@ class RequestAdapter: self.adapter = adapter # AzureAdapter instance for shared config/env # ---- Helpers (kept local to minimize cross-module coupling) ---- - def _normalize_call_id( - self, original: Optional[str], mapping: Dict[str, str] - ) -> Optional[str]: - """Return a <=64 char stable call_id. - - - Azure Responses API limits function call ids to 64 chars. - - Cursor/OpenAI tool_call ids may exceed that. We map any long ids - to a deterministic 64-char hex digest for this request, while - preserving pairing between function_call and function_call_output. - """ - if not original: - return original - if len(original) <= 64: - # Still ensure consistent mapping if we've seen it before - return mapping.get(original, original) - if original in mapping: - return mapping[original] - import hashlib - - norm = hashlib.sha256(original.encode("utf-8")).hexdigest() # 64 hex chars - mapping[original] = norm - return norm - def _copy_request_headers_for_azure( self, src: Request, *, api_key: str ) -> Dict[str, str]: @@ -64,9 +41,6 @@ class RequestAdapter: instructions_parts: List[str] = [] input_items: List[Dict[str, Any]] = [] - # Maintain stable mapping of long tool call ids within a single request - call_id_map: Dict[str, str] = {} - for m in messages: role = m.get("role") c = m.get("content") @@ -77,16 +51,13 @@ class RequestAdapter: continue # For user/assistant/tools as inputs if role == "tool": - # Map tool outputs back to a normalized call id - original_tool_call_id = m.get("tool_call_id") - norm_call_id = self._normalize_call_id( - original_tool_call_id, call_id_map - ) + call_id = m.get("tool_call_id") + item = { "type": "function_call_output", "output": c, "status": "completed", - "call_id": norm_call_id, + "call_id": call_id, } input_items.append(item) else: @@ -105,13 +76,12 @@ class RequestAdapter: if tool_calls := m.get("tool_calls"): for tool_call in tool_calls: function = tool_call.get("function", {}) - original_id = tool_call.get("id") - norm_call_id = self._normalize_call_id(original_id, call_id_map) + call_id = tool_call.get("id") item = { "type": "function_call", "name": function.get("name"), "arguments": function.get("arguments"), - "call_id": norm_call_id, + "call_id": call_id, } input_items.append(item) From 0315a42be6bbac0e10da6cddb365980225917d8c Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 08:36:16 +0200 Subject: [PATCH 08/18] Test configuration --- app/azure/response_adapter.py | 3 --- tests/test_functional.py | 30 ++++++++++++++++++++++++++++++ 2 files changed, 30 insertions(+), 3 deletions(-) diff --git a/app/azure/response_adapter.py b/app/azure/response_adapter.py index 13b60c0..7dfdeba 100644 --- a/app/azure/response_adapter.py +++ b/app/azure/response_adapter.py @@ -190,9 +190,6 @@ class ResponseAdapter: for ev in sse_to_events( upstream_resp.iter_content(chunk_size=8192) ): - if ev.is_done: - # Upstream [DONE] sentinel - continue handler_name = "_" + (ev.event or "").replace( "response.", "" ).replace(".", "__") diff --git a/tests/test_functional.py b/tests/test_functional.py index 261ac60..4490351 100644 --- a/tests/test_functional.py +++ b/tests/test_functional.py @@ -3,6 +3,8 @@ See: http://webtest.readthedocs.org/ """ +import environs + class TestConfig: """Config.""" @@ -13,6 +15,21 @@ class TestConfig: assert app.config["AZURE_BASE_URL"] != "change_me" assert app.config["AZURE_API_KEY"] != "change_me" + def test_default_settings_load(self, monkeypatch): + """Patch Env.read_env to read from .env.example and import settings.""" + orig_read_env = environs.Env.read_env + monkeypatch.setattr( + environs.Env, + "read_env", + lambda *args, **kwargs: orig_read_env( + ".env.example", override=True, **kwargs + ), + ) + + from app import settings + + assert settings.AZURE_BASE_URL == "https://change-me.openai.azure.com" + class TestModels: """Models.""" @@ -21,6 +38,19 @@ class TestModels: """Ensure /models endpoint returns HTTP 400.""" testapp.get("/models", status=400) + def test_models_endpoint_returns_200(self, testapp): + """Ensure /models endpoint returns HTTP 400.""" + response = testapp.get( + "/models", + status=200, + headers={"Authorization": "Bearer test-service-api-key"}, + ) + content = response.body.decode("utf-8") + assert '"gpt-high"' in content + assert '"gpt-medium"' in content + assert '"gpt-low"' in content + assert '"gpt-minimal"' in content + def test_health_endpoint_returns_200(self, testapp): """Ensure /health endpoint returns HTTP 200.""" testapp.get("/health", status=200) From 6ab49d2db1398fc9121c5b6a5c17d6271d8c2664 Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 09:14:03 +0200 Subject: [PATCH 09/18] Extend replay_base to be able to overwrite config --- tests/replay_base.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/tests/replay_base.py b/tests/replay_base.py index a36267d..0d6383e 100644 --- a/tests/replay_base.py +++ b/tests/replay_base.py @@ -112,8 +112,19 @@ class ReplyBase: ) assert response_normalized == expected_response_normalized + def modify_settings(self, app) -> None: + """Hook to allow subclasses to tweak app.config before running the test. + + Override in subclasses, e.g.: + + def modify_settings(self, app): + app.config["RECORD_TRAFFIC"] = True + """ + pass + def test(self, testapp: TestApp, requests_mock: MockerCore): """Run the replay flow using the configured recording fixtures.""" + self.modify_settings(testapp.app) mock = self.mock_upstream(requests_mock) response = self.perform_downstream_request(testapp) self.assert_upstream_request(mock) From 2bb2fae779dfc11e2f0f0fe97e3e4f7541495e1d Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 09:16:04 +0200 Subject: [PATCH 10/18] Split tests --- tests/test_config.py | 35 ++++++++++++++++++++ tests/{test_functional.py => test_models.py} | 27 --------------- 2 files changed, 35 insertions(+), 27 deletions(-) create mode 100644 tests/test_config.py rename tests/{test_functional.py => test_models.py} (53%) diff --git a/tests/test_config.py b/tests/test_config.py new file mode 100644 index 0000000..26e9d69 --- /dev/null +++ b/tests/test_config.py @@ -0,0 +1,35 @@ +"""Functional tests using WebTest. + +See: http://webtest.readthedocs.org/ +""" + +import importlib +import sys + +import environs + + +class TestConfig: + """Config.""" + + def test_test_config_is_set(self, testapp): + """Ensure that test config is set.""" + app = testapp.app + assert app.config["AZURE_BASE_URL"] != "change_me" + assert app.config["AZURE_API_KEY"] != "change_me" + + def test_env_example_loads(self, monkeypatch): + """Patch Env.read_env to read from .env.example and import settings.""" + orig_read_env = environs.Env.read_env + monkeypatch.setattr( + environs.Env, + "read_env", + lambda *args, **kwargs: orig_read_env( + ".env.example", override=True, **kwargs + ), + ) + + sys.modules.pop("app.settings", None) + settings = importlib.import_module("app.settings") + + assert settings.AZURE_BASE_URL == "https://change-me.openai.azure.com" diff --git a/tests/test_functional.py b/tests/test_models.py similarity index 53% rename from tests/test_functional.py rename to tests/test_models.py index 4490351..bdcd1aa 100644 --- a/tests/test_functional.py +++ b/tests/test_models.py @@ -3,33 +3,6 @@ See: http://webtest.readthedocs.org/ """ -import environs - - -class TestConfig: - """Config.""" - - def test_config_is_set(self, testapp): - """Ensure required config values are set.""" - app = testapp.app - assert app.config["AZURE_BASE_URL"] != "change_me" - assert app.config["AZURE_API_KEY"] != "change_me" - - def test_default_settings_load(self, monkeypatch): - """Patch Env.read_env to read from .env.example and import settings.""" - orig_read_env = environs.Env.read_env - monkeypatch.setattr( - environs.Env, - "read_env", - lambda *args, **kwargs: orig_read_env( - ".env.example", override=True, **kwargs - ), - ) - - from app import settings - - assert settings.AZURE_BASE_URL == "https://change-me.openai.azure.com" - class TestModels: """Models.""" From ee086576573f91c60fe9f7c358c166404edc45d7 Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 09:39:29 +0200 Subject: [PATCH 11/18] Add recording functionality tests --- tests/test_recording.py | 45 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 tests/test_recording.py diff --git a/tests/test_recording.py b/tests/test_recording.py new file mode 100644 index 0000000..d75b9a5 --- /dev/null +++ b/tests/test_recording.py @@ -0,0 +1,45 @@ +"""Functional tests using WebTest. + +See: http://webtest.readthedocs.org/ +""" + +import os + +from app.common import recording + +from .replay_base import ReplyBase + + +class TestRecording(ReplyBase): + """Test a single ping-pong interaction, no tool calls.""" + + def modify_settings(self, app): + """Enables traffic recording.""" + app.config["RECORD_TRAFFIC"] = True + + def test(self, testapp, requests_mock, monkeypatch, tmp_path): + """Test recording.""" + monkeypatch.setattr(recording, "RECORDINGS_DIR", tmp_path) + monkeypatch.setattr(recording, "__LAST_RECORDING_INDEX", 0) + super().test(testapp, requests_mock) + directories = os.listdir(tmp_path) + assert len(directories) == 1 + directory = directories[0] + assert directory.isdigit() + assert directory == "1" + assert os.path.exists( + os.path.join(tmp_path, directory, "upstream_request.json") + ) + assert os.path.exists( + os.path.join(tmp_path, directory, "upstream_response.sse") + ) + assert os.path.exists( + os.path.join(tmp_path, directory, "downstream_request.json") + ) + assert os.path.exists( + os.path.join(tmp_path, directory, "downstream_response.sse") + ) + + super().test(testapp, requests_mock) + directories = os.listdir(tmp_path) + assert len(directories) == 2 From effda388d6ddd1d47fd580051a3e2ad52067cc7c Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 09:39:38 +0200 Subject: [PATCH 12/18] Test commands --- requirements/dev.txt | 1 + tests/test_commnads.py | 107 +++++++++++++++++++++++++++++++++++++++++ 2 files changed, 108 insertions(+) create mode 100644 tests/test_commnads.py diff --git a/requirements/dev.txt b/requirements/dev.txt index 569476e..5f68334 100644 --- a/requirements/dev.txt +++ b/requirements/dev.txt @@ -7,6 +7,7 @@ pytest==8.4.2 pytest-cov==7.0.0 WebTest==3.0.6 requests-mock==1.12.1 +pytest-mock==3.15.1 # Lint and code style black==25.1.0 diff --git a/tests/test_commnads.py b/tests/test_commnads.py new file mode 100644 index 0000000..621d655 --- /dev/null +++ b/tests/test_commnads.py @@ -0,0 +1,107 @@ +"""Tests for click commands defined in app.commands.""" + +from click.testing import CliRunner + +import app.commands as commands + + +def test_test_command_calls_pytest_with_coverage_and_exits(mocker): + """Invoke `test` command with defaults and ensure pytest args include coverage.""" + fake_main = mocker.patch("pytest.main", return_value=0) + + runner = CliRunner() + result = runner.invoke(commands.test) + + assert result.exit_code == 0 + expected = [ + commands.TEST_PATH, + "--verbose", + "--cov=app", + "--cov-branch", + "--cov-report=xml", + "--cov-report=html", + "--cov-report=term", + ] + fake_main.assert_called_once() + assert fake_main.call_args.kwargs["args"] == expected + + +def test_test_command_no_coverage_and_filter(mocker): + """Invoke `test` with no coverage and a filter; ensure pytest args are correct.""" + fake_main = mocker.patch("pytest.main", return_value=5) + + runner = CliRunner() + result = runner.invoke(commands.test, ["-C", "-k", "unit and not e2e"]) + + assert result.exit_code == 5 + expected = [ + commands.TEST_PATH, + "--verbose", + "-k", + "unit and not e2e", + ] + fake_main.assert_called_once() + assert fake_main.call_args.kwargs["args"] == expected + + +def test_lint_command_invokes_tools_with_expected_order(mocker): + """Invoke `lint` and ensure isort, black, flake8 are called in order.""" + mock_call = mocker.patch("app.commands.call", return_value=0) + + runner = CliRunner() + result = runner.invoke(commands.lint) + + assert result.exit_code == 0 + # Expect three calls: isort, black, flake8 + assert mock_call.call_count == 3 + + first_cmd = mock_call.call_args_list[0].args[0] + second_cmd = mock_call.call_args_list[1].args[0] + third_cmd = mock_call.call_args_list[2].args[0] + + assert first_cmd[0] == "isort" + assert "--check" not in first_cmd + + assert second_cmd[0] == "black" + assert "--check" not in second_cmd + + assert third_cmd[0] == "flake8" + + +def test_lint_command_check_mode_adds_check_flags(mocker): + """Invoke `lint -c` and ensure --check is added to isort and black only.""" + mock_call = mocker.patch("app.commands.call", return_value=0) + + runner = CliRunner() + result = runner.invoke(commands.lint, ["-c"]) # --check + + assert result.exit_code == 0 + assert mock_call.call_count == 3 + + first_cmd = mock_call.call_args_list[0].args[0] + second_cmd = mock_call.call_args_list[1].args[0] + third_cmd = mock_call.call_args_list[2].args[0] + + # isort and black should receive --check + assert first_cmd[0] == "isort" + assert "--check" in first_cmd + + assert second_cmd[0] == "black" + assert "--check" in second_cmd + + # flake8 should be called without --check + assert third_cmd[0] == "flake8" + assert "--check" not in third_cmd + + +def test_lint_command_exits_on_nonzero_return(mocker): + """Ensure lint exits with the tool's non-zero code and stops after first call.""" + mock_call = mocker.patch("app.commands.call", return_value=2) + + runner = CliRunner() + result = runner.invoke(commands.lint) + + assert result.exit_code == 2 + assert mock_call.call_count == 1 + first_cmdline = mock_call.call_args[0][0] + assert first_cmdline[0] == "isort" From 40c39a03725fdeddbc0579d2af4e6c3280ce52f0 Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 10:47:02 +0200 Subject: [PATCH 13/18] Remove unused code --- app/common/logging.py | 110 ++++++++++++++++-------------------------- app/common/sse.py | 90 +++++++++++++++------------------- 2 files changed, 80 insertions(+), 120 deletions(-) diff --git a/app/common/logging.py b/app/common/logging.py index 80991ea..f13cb64 100644 --- a/app/common/logging.py +++ b/app/common/logging.py @@ -13,8 +13,6 @@ from rich.markdown import Markdown from rich.padding import Padding from rich.panel import Panel -from .sse import SSEEvent - # Global console instance for consistent logging across modules console = Console() @@ -59,37 +57,13 @@ def redact_headers(headers: Dict[str, str]) -> Dict[str, str]: if k.lower() in sensitive: redacted[k] = redact_value(v) else: - # Heuristic: mask common bearer/api-key looking values - if isinstance(v, str) and ( - v.startswith("Bearer ") or v.startswith("sk-") or "api_key" in k.lower() - ): - redacted[k] = redact_value(v) - else: - redacted[k] = v + redacted[k] = v return redacted def multidict_to_dict(md) -> Dict[str, List[str]]: """Convert a werkzeug MultiDict-like object to a plain dict of lists.""" - try: - return {k: list(vs) for k, vs in md.lists()} - except AttributeError: - # Fallback for objects without .lists() - return {k: [md.get(k)] for k in md.keys()} - - -def files_summary(req: Request) -> List[Dict[str, Any]]: - """Return a summary of uploaded files from a Flask request.""" - items: List[Dict[str, Any]] = [] - for name, storage in req.files.items(): - items.append( - { - "field": name, - "filename": getattr(storage, "filename", ""), - "content_type": getattr(storage, "content_type", ""), - } - ) - return items + return {k: list(vs) for k, vs in md.lists()} def _capture_request_details(req: Request, request_id: str) -> Dict[str, Any]: @@ -111,7 +85,6 @@ def _capture_request_details(req: Request, request_id: str) -> Dict[str, Any]: "query_args": multidict_to_dict(req.args), "form": multidict_to_dict(req.form), "json": req.get_json(silent=True), - "files": files_summary(req), "cookies": req.cookies.to_dict() if req.cookies else {}, "headers": redacted_headers, "user_agent": str(req.user_agent) if req.user_agent else "", @@ -217,46 +190,45 @@ def log_request(req: Request) -> str: return request_id -# --- SSE logging helpers --- +# --- SSE logging helpers, keeping for future use if we enable SSE logging --- +# from .sse import SSEEvent +# def _clean_payload(obj: Any) -> Any: +# """Default cleaning to reduce noisy fields in logs. + +# - If obj is a dict, remove top-level 'tools' +# - If it contains a nested 'response' dict, also remove its 'tools' +# Returns a shallow-cleaned copy when applicable; otherwise returns the input unchanged. +# """ +# if not isinstance(obj, dict): +# return obj +# # Shallow copy top-level +# cleaned = {k: v for k, v in obj.items()} +# if "tools" in cleaned: +# cleaned = {k: v for k, v in cleaned.items() if k != "tools"} +# resp = cleaned.get("response") +# if isinstance(resp, dict) and "tools" in resp: +# # Shallow copy nested response to drop tools +# new_resp = {k: v for k, v in resp.items() if k != "tools"} +# cleaned = {**cleaned, "response": new_resp} +# return cleaned -def _clean_payload(obj: Any) -> Any: - """Default cleaning to reduce noisy fields in logs. +# def log_event(ev: SSEEvent) -> None: +# """Pretty-print one SSE event using Rich. - - If obj is a dict, remove top-level 'tools' - - If it contains a nested 'response' dict, also remove its 'tools' - Returns a shallow-cleaned copy when applicable; otherwise returns the input unchanged. - """ - if not isinstance(obj, dict): - return obj - # Shallow copy top-level - cleaned = {k: v for k, v in obj.items()} - if "tools" in cleaned: - cleaned = {k: v for k, v in cleaned.items() if k != "tools"} - resp = cleaned.get("response") - if isinstance(resp, dict) and "tools" in resp: - # Shallow copy nested response to drop tools - new_resp = {k: v for k, v in resp.items() if k != "tools"} - cleaned = {**cleaned, "response": new_resp} - return cleaned - - -def log_event(ev: SSEEvent) -> None: - """Pretty-print one SSE event using Rich. - - - Title reflects whether the event had an 'event' name and its index - - If payload parses as JSON (ev.json), it is cleaned and printed as JSON; otherwise raw text is printed - """ - obj = ev.json - if obj is not None: - title = ( - f"SSE JSON #{ev.index}" if not ev.event else f"SSE {ev.event} #{ev.index}" - ) - console.print(Panel.fit(title)) - console.print_json(data=_clean_payload(obj)) - else: - title = f"SSE data #{ev.index}" - if ev.event: - title = f"SSE {ev.event} #{ev.index}" - console.print(Panel.fit(title)) - console.print(ev.data) +# - Title reflects whether the event had an 'event' name and its index +# - If payload parses as JSON (ev.json), it is cleaned and printed as JSON; otherwise raw text is printed +# """ +# obj = ev.json +# if obj is not None: +# title = ( +# f"SSE JSON #{ev.index}" if not ev.event else f"SSE {ev.event} #{ev.index}" +# ) +# console.print(Panel.fit(title)) +# console.print_json(data=_clean_payload(obj)) +# else: +# title = f"SSE data #{ev.index}" +# if ev.event: +# title = f"SSE {ev.event} #{ev.index}" +# console.print(Panel.fit(title)) +# console.print(ev.data) diff --git a/app/common/sse.py b/app/common/sse.py index 2464e12..843bbcd 100644 --- a/app/common/sse.py +++ b/app/common/sse.py @@ -8,7 +8,7 @@ This module provides helpers to decode and encode SSE streams, including: import json from dataclasses import dataclass, field -from typing import Any, Dict, Iterable, Iterator, List, Optional, Tuple +from typing import Any, Dict, Iterable, Iterator, List, Optional from .recording import record_sse @@ -150,58 +150,13 @@ def sse_to_events( yield from decoder.end_of_input() -def sse_to_chunks( - stream: Iterable[bytes], *, skip_done: bool = True, encoding: str = "utf-8" -) -> Iterator[Dict[str, Any]]: - """Convert an SSE byte-stream to an iterator of JSON dicts. - - - Collects multi-line data fields per SSE spec - - Uses event.json to avoid repeated json.loads - - Skips the [DONE] sentinel by default - """ - for ev in sse_to_events(stream, encoding=encoding): - if skip_done and ev.is_done: - continue - if ev.json is None: - continue - yield ev.json - - -def sse_to_json_events( - stream: Iterable[bytes], *, skip_done: bool = True, encoding: str = "utf-8" -) -> Iterator[Tuple[Optional[str], Dict[str, Any]]]: - """Yield (event, json_obj) pairs for events whose data parses as JSON. - - Non-JSON events are skipped. The [DONE] sentinel is skipped if skip_done - is True. - """ - for ev in sse_to_events(stream, encoding=encoding): - if skip_done and ev.is_done: - continue - obj = ev.json - if obj is None: - continue - yield (ev.event, obj) - - -def encode_sse_data( - data: str, *, event: Optional[str] = None, id: Optional[str] = None -) -> bytes: +def encode_sse_data(data: str) -> bytes: """Encode a single SSE message into bytes. If the data contains newlines, they are split into multiple "data:" lines as per the SSE spec. Optionally include event and id. """ out = bytearray() - if id is not None: - out.extend(b"id: ") - out.extend(id.encode("utf-8")) - out.extend(b"\n") - if event is not None: - out.extend(b"event: ") - out.extend(event.encode("utf-8")) - out.extend(b"\n") - if data == "": out.extend(b"data:\n") else: @@ -213,12 +168,10 @@ def encode_sse_data( return bytes(out) -def encode_sse_json( - obj: Any, *, event: Optional[str] = None, id: Optional[str] = None -) -> bytes: +def encode_sse_json(obj: Any) -> bytes: """Encode a Python object as JSON in SSE format and return bytes.""" payload = json.dumps(obj, ensure_ascii=False, separators=(",", ":")) - return encode_sse_data(payload, event=event, id=id) + return encode_sse_data(payload) def chunks_to_sse( @@ -245,3 +198,38 @@ def chunks_to_sse( def done_event_bytes() -> bytes: """Return the SSE-encoded [DONE] sentinel as bytes.""" return encode_sse_data("[DONE]") + + +# Keeping for future use if we enable OpenAI backend +# def sse_to_chunks( +# stream: Iterable[bytes], *, skip_done: bool = True, encoding: str = "utf-8" +# ) -> Iterator[Dict[str, Any]]: +# """Convert an SSE byte-stream to an iterator of JSON dicts. +# +# - Collects multi-line data fields per SSE spec +# - Uses event.json to avoid repeated json.loads +# - Skips the [DONE] sentinel by default +# """ +# for ev in sse_to_events(stream, encoding=encoding): +# if skip_done and ev.is_done: +# continue +# if ev.json is None: +# continue +# yield ev.json +# +# +# def sse_to_json_events( +# stream: Iterable[bytes], *, skip_done: bool = True, encoding: str = "utf-8" +# ) -> Iterator[Tuple[Optional[str], Dict[str, Any]]]: +# """Yield (event, json_obj) pairs for events whose data parses as JSON. +# +# Non-JSON events are skipped. The [DONE] sentinel is skipped if skip_done +# is True. +# """ +# for ev in sse_to_events(stream, encoding=encoding): +# if skip_done and ev.is_done: +# continue +# obj = ev.json +# if obj is None: +# continue +# yield (ev.event, obj) From 4a5c63c1265da22a5f6127086005cac977016027 Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 11:03:24 +0200 Subject: [PATCH 14/18] Test logging --- app/common/logging.py | 2 +- tests/test_logging.py | 51 +++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 52 insertions(+), 1 deletion(-) create mode 100644 tests/test_logging.py diff --git a/app/common/logging.py b/app/common/logging.py index f13cb64..7575d0d 100644 --- a/app/common/logging.py +++ b/app/common/logging.py @@ -35,7 +35,7 @@ def redact_value(value: str) -> str: if not value: return value if len(value) <= 8: - return "***" + return "..." return value[:4] + "…" + value[-4:] diff --git a/tests/test_logging.py b/tests/test_logging.py new file mode 100644 index 0000000..371609b --- /dev/null +++ b/tests/test_logging.py @@ -0,0 +1,51 @@ +"""Functional tests using WebTest. + +See: http://webtest.readthedocs.org/ +""" + +from app.common.logging import redact_headers + +from .replay_base import ReplyBase + + +class TestModelInvalidJson(ReplyBase): + """Test logging of context containing an invalid JSON tool call.""" + + recording = "context_tool_call_invalid_json" + + def test(self, testapp, requests_mock, mocker): + """Test logging of context containing an invalid JSON tool call.""" + console_print = mocker.patch( + "rich.console.Console.print", return_value=mocker.Mock() + ) + super().test(testapp, requests_mock) + console_print.assert_any_call("[red]Invalid JSON generated by the model:[/red]") + + +def test_redact_headers(): + """Test redacting headers.""" + headers = { + "Authorization": "Bearer test-service-api-key", + "authorization": "Bearer test-service-api-key", + "non-sensitive": "test-value", + "api-key": "", # Empty value + "api_key": "short", + } + redacted_headers = redact_headers(headers) + assert redacted_headers == { + "Authorization": "Bear…-key", + "authorization": "Bear…-key", + "non-sensitive": "test-value", + "api-key": "", + "api_key": "...", + } + + +def test_should_not_refact(mocker): + """Test that headers are not redacted if should_redact is False.""" + mocker.patch("app.common.logging.should_redact", return_value=False) + headers = { + "api_key": "test", + } + redacted_headers = redact_headers(headers) + assert redacted_headers == headers From 230b3be8f8179e1471a8aa19293f5a4a88e275dc Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 11:04:16 +0200 Subject: [PATCH 15/18] Add recording for invalid json --- .../downstream_request.json | 648 +++++++++++ .../downstream_response.sse | 674 +++++++++++ .../upstream_request.json | 654 +++++++++++ .../upstream_response.sse | 1029 +++++++++++++++++ 4 files changed, 3005 insertions(+) create mode 100644 tests/recordings/context_tool_call_invalid_json/downstream_request.json create mode 100644 tests/recordings/context_tool_call_invalid_json/downstream_response.sse create mode 100644 tests/recordings/context_tool_call_invalid_json/upstream_request.json create mode 100644 tests/recordings/context_tool_call_invalid_json/upstream_response.sse diff --git a/tests/recordings/context_tool_call_invalid_json/downstream_request.json b/tests/recordings/context_tool_call_invalid_json/downstream_request.json new file mode 100644 index 0000000..46c1d94 --- /dev/null +++ b/tests/recordings/context_tool_call_invalid_json/downstream_request.json @@ -0,0 +1,648 @@ +{ + "model": "gpt-high", + "temperature": 0, + "user": "REDACTED", + "messages": [ + { + "role": "system", + "content": "REDACTED" + }, + { + "role": "user", + "content": "REDACTED" + }, + { + "role": "user", + "content": "REDACTED" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_4FV11dO0cANJcmBiybINeEtu", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/pyproject.toml\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":200,\"explanation\":\"Check the Python version and any tooling configs that might affect typing and flake8 #BREAK JSON" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_4FV11dO0cANJcmBiybINeEtu", + "content": "Requested to read lines 1-200, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/pyproject.toml, lines 1-16 (entire file):\n 1|[tool.isort]\n 2|profile = \"black\"\n 3|\n 4|[tool.coverage.run]\n 5|source = [\"app\"]\n 6|omit = [\"tests/*\", \"autoapp.py\"]\n 7|\n 8|[tool.flake8]\n 9|ignore = [\"D401\", \"D202\", \"E226\", \"E302\", \"E41\", \"W503\", \"E203\"]\n 10|max-line-length = 120\n 11|max-complexity = 30\n 12|\n 13|[tool.pytest.ini_options]\n 14|filterwarnings = [\n 15| \"ignore::DeprecationWarning\",\n 16|]" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_BUWisTddnJGfyDFMHxQEkXnQ", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/app/commands.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Verify the flask CLI lint command exists and what it runs.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_BUWisTddnJGfyDFMHxQEkXnQ", + "content": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/app/commands.py, lines 1-94 (entire file):\n 1|\"\"\"Click commands.\"\"\"\n 2|\n 3|import os\n 4|from glob import glob\n 5|from subprocess import call\n 6|\n 7|import click\n 8|\n 9|HERE = os.path.abspath(os.path.dirname(__file__))\n 10|PROJECT_ROOT = os.path.join(HERE, os.pardir)\n 11|TEST_PATH = os.path.join(PROJECT_ROOT, \"tests\")\n 12|\n 13|\n 14|@click.command()\n 15|@click.option(\n 16| \"-c/-C\",\n 17| \"--coverage/--no-coverage\",\n 18| default=True,\n 19| is_flag=True,\n 20| help=\"Show coverage report\",\n 21|)\n 22|@click.option(\n 23| \"-k\",\n 24| \"--filter\",\n 25| default=None,\n 26| help=\"Filter tests by keyword expressions\",\n 27|)\n 28|def test(coverage, filter):\n 29| \"\"\"Run the tests.\"\"\"\n 30| import pytest\n 31|\n 32| args = [TEST_PATH, \"--verbose\"]\n 33| if coverage:\n 34| args.append(\"--cov=app\")\n 35| args.append(\"--cov-branch\")\n 36| args.append(\"--cov-report=xml\")\n 37| args.append(\"--cov-report=html\")\n 38| args.append(\"--cov-report=term\")\n 39| if filter:\n 40| args.extend([\"-k\", filter])\n 41| rv = pytest.main(args=args)\n 42| exit(rv)\n 43|\n 44|\n 45|@click.command()\n 46|@click.option(\n 47| \"-f\",\n 48| \"--fix-imports\",\n 49| default=True,\n 50| is_flag=True,\n 51| help=\"Fix imports using isort, before linting\",\n 52|)\n 53|@click.option(\n 54| \"-c\",\n 55| \"--check\",\n 56| default=False,\n 57| is_flag=True,\n 58| help=\"Don't make any changes to files, just confirm they are formatted correctly\",\n 59|)\n 60|def lint(fix_imports, check):\n 61| \"\"\"Lint and check code style with black, flake8 and isort.\"\"\"\n 62| skip = [\n 63| \"requirements\",\n 64| \"migrations\",\n 65| \"supervisord\",\n 66| \"htmlcov\",\n 67| \"__pycache__\",\n 68| ]\n 69| root_files = glob(\"*.py\")\n 70| root_directories = [\n 71| name for name in next(os.walk(\".\"))[1] if not name.startswith(\".\")\n 72| ]\n 73| files_and_directories = [\n 74| arg for arg in root_files + root_directories if arg not in skip\n 75| ]\n 76|\n 77| def execute_tool(description, *args):\n 78| \"\"\"Execute a checking tool with its arguments.\"\"\"\n 79| command_line = list(args) + files_and_directories\n 80| click.echo(f\"{description}: {' '.join(command_line)}\")\n 81| rv = call(command_line)\n 82| if rv != 0:\n 83| exit(rv)\n 84|\n 85| isort_args = []\n 86| black_args = []\n 87| if check:\n 88| isort_args.append(\"--check\")\n 89| black_args.append(\"--check\")\n 90| if fix_imports:\n 91| execute_tool(\"Fixing import order\", \"isort\", *isort_args)\n 92| execute_tool(\"Formatting style\", \"black\", *black_args)\n 93| execute_tool(\"Checking code style\", \"flake8\")\n 94|" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_SKtLcZzYtBNWQDXdHkRSqlI0", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/app/__init__.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Understand how Flask app and CLI commands are set up, and if 'flask lint' is registered.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_SKtLcZzYtBNWQDXdHkRSqlI0", + "content": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/app/__init__.py, lines 1-5 (entire file):\n 1|\"\"\"Main application package.\"\"\"\n 2|\n 3|__all__ = [\"create_app\"]\n 4|from .app import create_app\n 5|" + }, + { + "role": "assistant", + "content": "", + "tool_calls": [ + { + "type": "function", + "id": "call_Ur70Dm3eIf4NdR4EbhHernwb", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/app/app.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Check CLI registration and the app factory to ensure commands are registered, especially lint and test commands.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_Ur70Dm3eIf4NdR4EbhHernwb", + "content": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/app/app.py, lines 1-42 (entire file):\n 1|\"\"\"The app module, containing the app factory function.\"\"\"\n 2|\n 3|import logging\n 4|import sys\n 5|\n 6|from flask import Flask\n 7|\n 8|from . import commands\n 9|from .blueprint import blueprint\n 10|\n 11|\n 12|def create_app(config_object=\"app.settings\"):\n 13| \"\"\"Create application factory, as explained here: http://flask.pocoo.org/docs/patterns/appfactories/.\n 14|\n 15| :param config_object: The configuration object to use.\n 16| \"\"\"\n 17| app = Flask(__name__.split(\".\")[0])\n 18| app.config.from_object(config_object)\n 19| register_commands(app)\n 20| register_blueprints(app)\n 21| configure_logger(app)\n 22| return app\n 23|\n 24|\n 25|def register_blueprints(app):\n 26| \"\"\"Register Flask blueprints.\"\"\"\n 27| app.register_blueprint(blueprint)\n 28| return None\n 29|\n 30|\n 31|def register_commands(app):\n 32| \"\"\"Register Click commands.\"\"\"\n 33| app.cli.add_command(commands.test)\n 34| app.cli.add_command(commands.lint)\n 35|\n 36|\n 37|def configure_logger(app):\n 38| \"\"\"Configure loggers.\"\"\"\n 39| handler = logging.StreamHandler(sys.stdout)\n 40| if not app.logger.handlers:\n 41| app.logger.addHandler(handler)\n 42|" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_0HrpxMFxd4OKKM6GWg5YpJiC", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/autoapp.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":200,\"explanation\":\"Check if this defines the Flask app for the CLI so 'flask lint' works by default.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_0HrpxMFxd4OKKM6GWg5YpJiC", + "content": "Requested to read lines 1-200, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/autoapp.py, lines 1-6 (entire file):\n 1|\"\"\"Create an application instance.\"\"\"\n 2|\n 3|from app import create_app\n 4|\n 5|app = create_app()\n 6|" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_oxlkmymernZWcEviO7XnsK0d", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/requirements/prod.txt\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Check whether 'requests' is already included as a prod dependency.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_oxlkmymernZWcEviO7XnsK0d", + "content": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/requirements/prod.txt, lines 1-21 (entire file):\n 1|# Everything needed in production\n 2|\n 3|# Flask\n 4|click>=7.0\n 5|Flask==3.1.2\n 6|\n 7|# Logging\n 8|rich==14.1.0\n 9|loguru==0.7.3\n 10|\n 11|# Requests\n 12|requests==2.32.5\n 13|\n 14|# Deployment\n 15|gevent==25.8.2\n 16|gunicorn>=19.9.0\n 17|supervisor==4.3.0\n 18|\n 19|# Environment variable parsing\n 20|environs==14.3.0\n 21|" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_OUvEKOPBvyfP7Hzil4TnsAcT", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/conftest.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Review test fixtures such as testapp and requests_mock plugin setup to ensure compatibility.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_OUvEKOPBvyfP7Hzil4TnsAcT", + "content": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/tests/conftest.py, lines 1-29 (entire file):\n 1|\"\"\"Defines fixtures available to all tests.\"\"\"\n 2|\n 3|import logging\n 4|\n 5|import pytest\n 6|from flask import Flask\n 7|from webtest import TestApp\n 8|\n 9|from app import create_app\n 10|\n 11|\n 12|@pytest.fixture\n 13|def app() -> Flask:\n 14| \"\"\"Create application for the tests.\"\"\"\n 15| _app = create_app(\"tests.settings\")\n 16| _app.logger.setLevel(logging.CRITICAL)\n 17| ctx = _app.test_request_context()\n 18| ctx.push()\n 19|\n 20| yield _app\n 21|\n 22| ctx.pop()\n 23|\n 24|\n 25|@pytest.fixture\n 26|def testapp(app) -> TestApp:\n 27| \"\"\"Create Webtest app.\"\"\"\n 28| return TestApp(app)\n 29|" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_Mig72ssZK02hDIIDbaVJC4pV", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"instructions\":\"I will refactor the test class to be extensible with a `recording` attribute, move normalization into a private method using re.sub, add helper path methods, split the test workflow into four private methods, and make `test()` call those helpers.\",\"code_edit\":\"\\\"\\\"\\\"Functional tests using WebTest.\\n\\nSee: http://webtest.readthedocs.org/\\n\\\"\\\"\\\"\\n\\nimport json\\nimport os\\nimport re\\nfrom typing import Any\\n\\nfrom requests_mock import MockerCore\\nfrom webtest import TestApp\\n\\n\\nclass TestReplayRecording:\\n \\\"\\\"\\\"Tests the reply of /recordings//.\\\"\\\"\\\"\\n\\n # The subdirectory under tests/recordings/ to load fixtures from\\n recording: str = \\\"ping\\\"\\n\\n # Endpoint to mock for the upstream request\\n UPSTREAM_URL = (\\n \\\"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\\\"\\n )\\n\\n def _get_request_path(self, kind: str) -> str:\\n \\\"\\\"\\\"Return path for a recorded request JSON of given kind.\\n\\n Example: kind=\\\"upstream\\\" -> tests/recordings//upstream_request.json\\n \\\"\\\"\\\"\\n return os.path.join(\\n \\\"tests\\\", \\\"recordings\\\", self.recording, f\\\"{kind}_request.json\\\"\\n )\\n\\n def _get_response_path(self, kind: str) -> str:\\n \\\"\\\"\\\"Return path for a recorded response SSE of given kind.\\n\\n Example: kind=\\\"downstream\\\" -> tests/recordings//downstream_response.sse\\n \\\"\\\"\\\"\\n return os.path.join(\\n \\\"tests\\\", \\\"recordings\\\", self.recording, f\\\"{kind}_response.sse\\\"\\n )\\n\\n def _normalize_response(self, sse_response: bytes) -> str:\\n \\\"\\\"\\\"Normalize the response id and created timestamp (use re.sub).\\\"\\\"\\\"\\n text = sse_response.decode(\\\"utf-8\\\")\\n text = re.sub(r'data: {\\\"id\\\":\\\"chatcmpl-(.*?)\\\"', 'data: {\\\"id\\\":\\\"chatcmpl-ABC123\\\"', text)\\n text = re.sub(r'\\\"created\\\":(\\\\d+)', '\\\"created\\\":1234567890', text)\\n return text\\n\\n def _mock_upstream(self, requests_mock: MockerCore) -> Any:\\n \\\"\\\"\\\"Mock upstream request with recorded SSE upstream response.\\\"\\\"\\\"\\n upstream_response_path = self._get_response_path(\\\"upstream\\\")\\n with open(upstream_response_path, \\\"rb\\\") as f:\\n body = f.read()\\n return requests_mock.post(self.UPSTREAM_URL, body=body)\\n\\n def _perform_downstream_request(self, testapp: TestApp):\\n \\\"\\\"\\\"Perform recorded downstream request and return the response.\\\"\\\"\\\"\\n downstream_request_path = self._get_request_path(\\\"downstream\\\")\\n with open(downstream_request_path, \\\"r\\\") as f:\\n downstream_request = f.read()\\n return testapp.post(\\n \\\"/chat/completions\\\",\\n status=200,\\n params=downstream_request,\\n headers={\\n \\\"Content-Type\\\": \\\"application/json\\\",\\n \\\"Authorization\\\": \\\"Bearer test-service-api-key\\\",\\n },\\n )\\n\\n def _verify_upstream_request(self, mock: Any) -> None:\\n \\\"\\\"\\\"Verify upstream request matches the recorded upstream request.\\\"\\\"\\\"\\n upstream_request_path = self._get_request_path(\\\"upstream\\\")\\n with open(upstream_request_path, \\\"r\\\") as f:\\n upstream_request = json.load(f)\\n assert mock.last_request.json() == upstream_request\\n\\n def _verify_downstream_response(self, response) -> None:\\n \\\"\\\"\\\"Verify downstream response matches the recorded downstream response.\\\"\\\"\\\"\\n downstream_response_path = self._get_response_path(\\\"downstream\\\")\\n with open(downstream_response_path, \\\"rb\\\") as f:\\n recorded_downstream_response = f.read()\\n response_normalized = self._normalize_response(response.body)\\n recorded_response_normalized = self._normalize_response(\\n recorded_downstream_response\\n )\\n assert response_normalized == recorded_response_normalized\\n\\n def test(self, testapp: TestApp, requests_mock: MockerCore):\\n mock = self._mock_upstream(requests_mock)\\n response = self._perform_downstream_request(testapp)\\n self._verify_upstream_request(mock)\\n self._verify_downstream_response(response)\\n\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_Mig72ssZK02hDIIDbaVJC4pV", + "content": "The apply model made the following changes to the file:\n\n```\n \n import json\n+ import os\n import re\n+ from typing import Any\n \n from requests_mock import MockerCore\n from webtest import TestApp\n \n- \n- def normalize_response(sse_response: bytes) -> bytes:\n- \"\"\"Normalize the response id and created timestamp.\"\"\"\n- \n- # TODO: Change to use re.sub instead of compiled regexes\n- a = re.compile(r'data: {\"id\":\"chatcmpl-(.*?)\"')\n- b = re.compile(r'\"created\":(\\d+)')\n- sse_response = sse_response.decode(\"utf-8\")\n- sse_response = a.sub('data: {\"id\":\"chatcmpl-ABC123\"', sse_response)\n- sse_response = b.sub('\"created\":1234567890', sse_response)\n- return sse_response\n- \n \n class TestReplayRecording:\n- \"\"\"Tests the reply of /recordings/ping/.\"\"\"\n- \n- def test(self, testapp: TestApp, requests_mock: MockerCore):\n- # Mock upstream request with recorded sse upstream response\n- mock = requests_mock.post(\n- \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\",\n- body=open(\"tests/recordings/ping/upstream_response.sse\", \"rb\"),\n- )\n- \n- # Perform recorded downstream request\n- downstream_request = open(\"tests/recordings/ping/downstream_request.json\").read()\n- response = testapp.post(\n+ \"\"\"Tests the reply of /recordings//.\"\"\"\n+ \n+ # The subdirectory under tests/recordings/ to load fixtures from\n+ recording: str = \"ping\"\n+ \n+ # Endpoint to mock for the upstream request\n+ UPSTREAM_URL = (\n+ \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\"\n+ )\n+ \n+ def _get_request_path(self, kind: str) -> str:\n+ \"\"\"Return path for a recorded request JSON of given kind.\n+ \n+ Example: kind=\"upstream\" -> tests/recordings//upstream_request.json\n+ \"\"\"\n+ return os.path.join(\n+ \"tests\", \"recordings\", self.recording, f\"{kind}_request.json\"\n+ )\n+ \n+ def _get_response_path(self, kind: str) -> str:\n+ \"\"\"Return path for a recorded response SSE of given kind.\n+ \n+ Example: kind=\"downstream\" -> tests/recordings//downstream_response.sse\n+ \"\"\"\n+ return os.path.join(\n+ \"tests\", \"recordings\", self.recording, f\"{kind}_response.sse\"\n+ )\n+ \n+ def _normalize_response(self, sse_response: bytes) -> str:\n+ \"\"\"Normalize the response id and created timestamp (use re.sub).\"\"\"\n+ text = sse_response.decode(\"utf-8\")\n+ text = re.sub(r'data: {\"id\":\"chatcmpl-(.*?)\"', 'data: {\"id\":\"chatcmpl-ABC123\"', text)\n+ text = re.sub(r'\"created\":(\\d+)', '\"created\":1234567890', text)\n+ return text\n+ \n+ def _mock_upstream(self, requests_mock: MockerCore) -> Any:\n+ \"\"\"Mock upstream request with recorded SSE upstream response.\"\"\"\n+ upstream_response_path = self._get_response_path(\"upstream\")\n+ with open(upstream_response_path, \"rb\") as f:\n+ body = f.read()\n+ return requests_mock.post(self.UPSTREAM_URL, body=body)\n+ \n+ def _perform_downstream_request(self, testapp: TestApp):\n+ \"\"\"Perform recorded downstream request and return the response.\"\"\"\n+ downstream_request_path = self._get_request_path(\"downstream\")\n+ with open(downstream_request_path, \"r\") as f:\n+ downstream_request = f.read()\n+ return testapp.post(\n \"/chat/completions\",\n status=200,\n...\n )\n \n- # Verify upstream request matches recorded upstream request\n- upstream_request = open(\"tests/recordings/ping/upstream_request.json\").read()\n- assert mock.last_request.json() == json.loads(upstream_request)\n+ def _verify_upstream_request(self, mock: Any) -> None:\n+ \"\"\"Verify upstream request matches the recorded upstream request.\"\"\"\n+ upstream_request_path = self._get_request_path(\"upstream\")\n+ with open(upstream_request_path, \"r\") as f:\n+ upstream_request = json.load(f)\n+ assert mock.last_request.json() == upstream_request\n \n- # Verify downstream response matches recorded downstream response\n- downstream_response = open(\n- \"tests/recordings/ping/downstream_response.sse\", \"rb\"\n- ).read()\n- response_normalized = normalize_response(response.body)\n- recorded_response_normalized = normalize_response(downstream_response)\n+ def _verify_downstream_response(self, response) -> None:\n+ \"\"\"Verify downstream response matches the recorded downstream response.\"\"\"\n+ downstream_response_path = self._get_response_path(\"downstream\")\n+ with open(downstream_response_path, \"rb\") as f:\n+ recorded_downstream_response = f.read()\n+ response_normalized = self._normalize_response(response.body)\n+ recorded_response_normalized = self._normalize_response(\n+ recorded_downstream_response\n+ )\n assert response_normalized == recorded_response_normalized\n \n- # Installed requests-mock-1.12.1,\n- # TODO: Add it to requirements/dev.txt\n+ def test(self, testapp: TestApp, requests_mock: MockerCore):\n+ mock = self._mock_upstream(requests_mock)\n+ response = self._perform_downstream_request(testapp)\n+ self._verify_upstream_request(mock)\n+ self._verify_downstream_response(response)\n \n```" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_CIDD6twcNy9fBycZUUtFOuh7", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/requirements/dev.txt\",\"instructions\":\"I will add requests-mock as a testing dependency per the TODO note.\",\"code_edit\":\"# Everything the developer needs in addition to the production requirements\\n-r prod.txt\\n\\n# Testing\\nfactory-boy==3.3.3\\npytest==8.4.2\\npytest-cov==7.0.0\\nWebTest==3.0.6\\nrequests-mock==1.12.1\\n\\n# Lint and code style\\nblack==25.1.0\\nflake8-blind-except==0.2.1\\nflake8-debugger==4.1.2\\nflake8-docstrings==1.7.0\\nflake8-isort==6.1.2\\nFlake8-pyproject==1.2.3\\nflake8==7.3.0\\nisort==6.0.1\\npep8-naming==0.15.1\\n\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_CIDD6twcNy9fBycZUUtFOuh7", + "content": "The apply model made the following changes to the file:\n\n```\n pytest-cov==7.0.0\n WebTest==3.0.6\n+ requests-mock==1.12.1\n \n # Lint and code style\n```" + }, + { + "role": "assistant", + "content": "", + "tool_calls": [ + { + "type": "function", + "id": "call_hCrrHRkt8BDlblpqBLSmSQtH", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"command\":\"source .venv/bin/activate && flask lint\",\"is_background\":false,\"explanation\":\"Run the project\u2019s lint command after making code edits, as required by workspace rules.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_hCrrHRkt8BDlblpqBLSmSQtH", + "content": "Exit code: 1\n\nCommand output:\n\n```\nFixing import order: isort autoapp.py assets componses app tests recordings\nFormatting style: black autoapp.py assets componses app tests recordings\nreformatted /home/gabri/componses/tests/test_replay_recording.py\n\nAll done! \u2728 \ud83c\udf70 \u2728\n1 file reformatted, 20 files left unchanged.\nChecking code style: flake8 autoapp.py assets componses app tests recordings\ntests/test_replay_recording.py:91:1: D102 Missing docstring in public method\n```\n\nCommand completed.\n\nThe previous shell command ended, so on the next invocation of this tool, you will be reusing the shell.\n\nOn the next terminal tool call, the directory of the shell will already be /home/gabri/componses." + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_S7oJekFCnLT4N3RXqZGS8Ons", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"should_read_entire_file\":true,\"explanation\":\"Inspect the current file content and line numbers to locate flake8 D102 issue and add missing docstring accordingly.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_S7oJekFCnLT4N3RXqZGS8Ons", + "content": "Contents of /home/gabri/componses/tests/test_replay_recording.py, lines 1-96 (entire file):\n 1|\"\"\"Functional tests using WebTest.\n 2|\n 3|See: http://webtest.readthedocs.org/\n 4|\"\"\"\n 5|\n 6|import json\n 7|import os\n 8|import re\n 9|from typing import Any\n 10|\n 11|from requests_mock import MockerCore\n 12|from webtest import TestApp\n 13|\n 14|\n 15|class TestReplayRecording:\n 16| \"\"\"Tests the reply of /recordings//.\"\"\"\n 17|\n 18| # The subdirectory under tests/recordings/ to load fixtures from\n 19| recording: str = \"ping\"\n 20|\n 21| # Endpoint to mock for the upstream request\n 22| UPSTREAM_URL = \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\"\n 23|\n 24| def _get_request_path(self, kind: str) -> str:\n 25| \"\"\"Return path for a recorded request JSON of given kind.\n 26|\n 27| Example: kind=\"upstream\" -> tests/recordings//upstream_request.json\n 28| \"\"\"\n 29| return os.path.join(\n 30| \"tests\", \"recordings\", self.recording, f\"{kind}_request.json\"\n 31| )\n 32|\n 33| def _get_response_path(self, kind: str) -> str:\n 34| \"\"\"Return path for a recorded response SSE of given kind.\n 35|\n 36| Example: kind=\"downstream\" -> tests/recordings//downstream_response.sse\n 37| \"\"\"\n 38| return os.path.join(\n 39| \"tests\", \"recordings\", self.recording, f\"{kind}_response.sse\"\n 40| )\n 41|\n 42| def _normalize_response(self, sse_response: bytes) -> str:\n 43| \"\"\"Normalize the response id and created timestamp (use re.sub).\"\"\"\n 44| text = sse_response.decode(\"utf-8\")\n 45| text = re.sub(\n 46| r'data: {\"id\":\"chatcmpl-(.*?)\"', 'data: {\"id\":\"chatcmpl-ABC123\"', text\n 47| )\n 48| text = re.sub(r'\"created\":(\\d+)', '\"created\":1234567890', text)\n 49| return text\n 50|\n 51| def _mock_upstream(self, requests_mock: MockerCore) -> Any:\n 52| \"\"\"Mock upstream request with recorded SSE upstream response.\"\"\"\n 53| upstream_response_path = self._get_response_path(\"upstream\")\n 54| with open(upstream_response_path, \"rb\") as f:\n 55| body = f.read()\n 56| return requests_mock.post(self.UPSTREAM_URL, body=body)\n 57|\n 58| def _perform_downstream_request(self, testapp: TestApp):\n 59| \"\"\"Perform recorded downstream request and return the response.\"\"\"\n 60| downstream_request_path = self._get_request_path(\"downstream\")\n 61| with open(downstream_request_path, \"r\") as f:\n 62| downstream_request = f.read()\n 63| return testapp.post(\n 64| \"/chat/completions\",\n 65| status=200,\n 66| params=downstream_request,\n 67| headers={\n 68| \"Content-Type\": \"application/json\",\n 69| \"Authorization\": \"Bearer test-service-api-key\",\n 70| },\n 71| )\n 72|\n 73| def _verify_upstream_request(self, mock: Any) -> None:\n 74| \"\"\"Verify upstream request matches the recorded upstream request.\"\"\"\n 75| upstream_request_path = self._get_request_path(\"upstream\")\n 76| with open(upstream_request_path, \"r\") as f:\n 77| upstream_request = json.load(f)\n 78| assert mock.last_request.json() == upstream_request\n 79|\n 80| def _verify_downstream_response(self, response) -> None:\n 81| \"\"\"Verify downstream response matches the recorded downstream response.\"\"\"\n 82| downstream_response_path = self._get_response_path(\"downstream\")\n 83| with open(downstream_response_path, \"rb\") as f:\n 84| recorded_downstream_response = f.read()\n 85| response_normalized = self._normalize_response(response.body)\n 86| recorded_response_normalized = self._normalize_response(\n 87| recorded_downstream_response\n 88| )\n 89| assert response_normalized == recorded_response_normalized\n 90|\n 91| def test(self, testapp: TestApp, requests_mock: MockerCore):\n 92| mock = self._mock_upstream(requests_mock)\n 93| response = self._perform_downstream_request(testapp)\n 94| self._verify_upstream_request(mock)\n 95| self._verify_downstream_response(response)\n 96|" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_sGRyjz7ajH0XR1UAViUHXeJc", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"instructions\":\"I will add a short docstring to the public test() method to satisfy flake8 D102.\",\"code_edit\":\"// ... existing code ...\\n def test(self, testapp: TestApp, requests_mock: MockerCore):\\n+ \\\"\\\"\\\"Run the replay flow using the configured recording fixtures.\\\"\\\"\\\"\\n mock = self._mock_upstream(requests_mock)\\n response = self._perform_downstream_request(testapp)\\n self._verify_upstream_request(mock)\\n self._verify_downstream_response(response)\\n// ... existing code ...\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_sGRyjz7ajH0XR1UAViUHXeJc", + "content": "The apply model made the following changes to the file:\n\n```\n \n import json\n- import os\n import re\n- from typing import Any\n \n from requests_mock import MockerCore\n from webtest import TestApp\n \n+ \n+ def normalize_response(sse_response: bytes) -> bytes:\n+ \"\"\"Normalize the response id and created timestamp.\"\"\"\n+ \n+ # TODO: Change to use re.sub instead of compiled regexes\n+ a = re.compile(r'data: {\"id\":\"chatcmpl-(.*?)\"')\n+ b = re.compile(r'\"created\":(\\d+)')\n+ sse_response = sse_response.decode(\"utf-8\")\n+ sse_response = a.sub('data: {\"id\":\"chatcmpl-ABC123\"', sse_response)\n+ sse_response = b.sub('\"created\":1234567890', sse_response)\n+ return sse_response\n+ \n \n class TestReplayRecording:\n- \"\"\"Tests the reply of /recordings//.\"\"\"\n- \n- # The subdirectory under tests/recordings/ to load fixtures from\n- recording: str = \"ping\"\n- \n- # Endpoint to mock for the upstream request\n- UPSTREAM_URL = \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\"\n- \n- def _get_request_path(self, kind: str) -> str:\n- \"\"\"Return path for a recorded request JSON of given kind.\n- \n- Example: kind=\"upstream\" -> tests/recordings//upstream_request.json\n- \"\"\"\n- return os.path.join(\n- \"tests\", \"recordings\", self.recording, f\"{kind}_request.json\"\n- )\n- \n- def _get_response_path(self, kind: str) -> str:\n- \"\"\"Return path for a recorded response SSE of given kind.\n- \n- Example: kind=\"downstream\" -> tests/recordings//downstream_response.sse\n- \"\"\"\n- return os.path.join(\n- \"tests\", \"recordings\", self.recording, f\"{kind}_response.sse\"\n- )\n- \n- def _normalize_response(self, sse_response: bytes) -> str:\n- \"\"\"Normalize the response id and created timestamp (use re.sub).\"\"\"\n- text = sse_response.decode(\"utf-8\")\n- text = re.sub(\n- r'data: {\"id\":\"chatcmpl-(.*?)\"', 'data: {\"id\":\"chatcmpl-ABC123\"', text\n- )\n- text = re.sub(r'\"created\":(\\d+)', '\"created\":1234567890', text)\n- return text\n- \n- def _mock_upstream(self, requests_mock: MockerCore) -> Any:\n- \"\"\"Mock upstream request with recorded SSE upstream response.\"\"\"\n- upstream_response_path = self._get_response_path(\"upstream\")\n- with open(upstream_response_path, \"rb\") as f:\n- body = f.read()\n- return requests_mock.post(self.UPSTREAM_URL, body=body)\n- \n- def _perform_downstream_request(self, testapp: TestApp):\n- \"\"\"Perform recorded downstream request and return the response.\"\"\"\n- downstream_request_path = self._get_request_path(\"downstream\")\n- with open(downstream_request_path, \"r\") as f:\n- downstream_request = f.read()\n- return testapp.post(\n- \"/chat/completions\",\n- status=200,\n- params=downstream_request,\n- headers={\n- \"Content-Type\": \"application/json\",\n- \"Authorization\": \"Bearer test-service-api-key\",\n- },\n- )\n- \n- def _verify_upstream_request(self, mock: Any) -> None:\n- \"\"\"Verify upstream request matches the recorded upstream request.\"\"\"\n- upstream_request_path = self._get_request_path(\"upstream\")\n- with open(upstream_request_path, \"r\") as f:\n- upstream_request = json.load(f)\n- assert mock.last_request.json() == upstream_request\n- \n- def _verify_downstream_response(self, response) -> None:\n- \"\"\"Verify downstream response matches the recorded downstream response.\"\"\"\n- downstream_response_path = self._get_response_path(\"downstream\")\n- with open(downstream_response_path, \"rb\") as f:\n- recorded_downstream_response = f.read()\n- response_normalized = self._normalize_response(response.body)\n- recorded_response_normalized = self._normalize_response(\n- recorded_downstream_response\n- )\n- assert response_normalized == recorded_response_normalized\n+ \"\"\"Tests the reply of /recordings/ping/.\"\"\"\n \n def test(self, testapp: TestApp, requests_mock: MockerCore):\n+ \"\"\"Run the replay flow using the configured recording fixtures.\"\"\"\n mock = self._mock_upstream(requests_mock)\n response = self._perform_downstream_request(testapp)\n self._verify_upstream_request(mock)\n self._verify_downstream_response(response)\n+ \n+ # Installed requests-mock-1.12.1,\n+ # TODO: Add it to requirements/dev.txt\n \n```" + }, + { + "role": "assistant", + "content": "", + "tool_calls": [ + { + "type": "function", + "id": "call_KgpVH3dIVLZbCRWQ9PFZERuN", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_KgpVH3dIVLZbCRWQ9PFZERuN", + "content": " \n def test(self, testapp: TestApp, requests_mock: MockerCore):\n+ \"\"\"Run the replay flow using the configured recording fixtures.\"\"\"\n+ mock = self._mock_upstream(requests_mock)\n+ response = self._perform_downstream_request(testapp)\n+ self._verify_upstream_request(mock)\n+ self._verify_downstream_response(response)\n+ \n+ def _mock_upstream(self, requests_mock: MockerCore):\n # Mock upstream request with recorded sse upstream response\n mock = requests_mock.post(\n \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\",\n body=open(\"tests/recordings/ping/upstream_response.sse\", \"rb\"),\n )\n+ return mock\n \n+ def _perform_downstream_request(self, testapp: TestApp):\n # Perform recorded downstream request\n downstream_request = open(\"tests/recordings/ping/downstream_request.json\").read()\n\n },\n )\n+ return response\n \n+ def _verify_upstream_request(self, mock: MockerCore):\n # Verify upstream request matches recorded upstream request\n upstream_request = open(\"tests/recordings/ping/upstream_request.json\").read()\n assert mock.last_request.json() == json.loads(upstream_request)\n \n+ def _verify_downstream_response(self, response: TestApp.TestResponse):\n # Verify downstream response matches recorded downstream response\n downstream_response = open(" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_igUg0ZnXhJ162Jo9FgSkFn1b", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"should_read_entire_file\":true,\"explanation\":\"Assess the current file after previous flawed edits so we can correct it fully.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_igUg0ZnXhJ162Jo9FgSkFn1b", + "content": "Contents of /home/gabri/componses/tests/test_replay_recording.py, lines 1-73 (entire file):\n 1|\"\"\"Functional tests using WebTest.\n 2|\n 3|See: http://webtest.readthedocs.org/\n 4|\"\"\"\n 5|\n 6|import json\n 7|import re\n 8|\n 9|from requests_mock import MockerCore\n 10|from webtest import TestApp\n 11|\n 12|\n 13|def normalize_response(sse_response: bytes) -> bytes:\n 14| \"\"\"Normalize the response id and created timestamp.\"\"\"\n 15|\n 16| # TODO: Change to use re.sub instead of compiled regexes\n 17| a = re.compile(r'data: {\"id\":\"chatcmpl-(.*?)\"')\n 18| b = re.compile(r'\"created\":(\\d+)')\n 19| sse_response = sse_response.decode(\"utf-8\")\n 20| sse_response = a.sub('data: {\"id\":\"chatcmpl-ABC123\"', sse_response)\n 21| sse_response = b.sub('\"created\":1234567890', sse_response)\n 22| return sse_response\n 23|\n 24|\n 25|class TestReplayRecording:\n 26| \"\"\"Tests the reply of /recordings/ping/.\"\"\"\n 27|\n 28| def test(self, testapp: TestApp, requests_mock: MockerCore):\n 29| \"\"\"Run the replay flow using the configured recording fixtures.\"\"\"\n 30| mock = self._mock_upstream(requests_mock)\n 31| response = self._perform_downstream_request(testapp)\n 32| self._verify_upstream_request(mock)\n 33| self._verify_downstream_response(response)\n 34|\n 35| def _mock_upstream(self, requests_mock: MockerCore):\n 36| # Mock upstream request with recorded sse upstream response\n 37| mock = requests_mock.post(\n 38| \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\",\n 39| body=open(\"tests/recordings/ping/upstream_response.sse\", \"rb\"),\n 40| )\n 41| return mock\n 42|\n 43| def _perform_downstream_request(self, testapp: TestApp):\n 44| # Perform recorded downstream request\n 45| downstream_request = open(\"tests/recordings/ping/downstream_request.json\").read()\n 46| response = testapp.post(\n 47| \"/chat/completions\",\n 48| status=200,\n 49| params=downstream_request,\n 50| headers={\n 51| \"Content-Type\": \"application/json\",\n 52| \"Authorization\": \"Bearer test-service-api-key\",\n 53| },\n 54| )\n 55| return response\n 56|\n 57| def _verify_upstream_request(self, mock: MockerCore):\n 58| # Verify upstream request matches recorded upstream request\n 59| upstream_request = open(\"tests/recordings/ping/upstream_request.json\").read()\n 60| assert mock.last_request.json() == json.loads(upstream_request)\n 61|\n 62| def _verify_downstream_response(self, response: TestApp.TestResponse):\n 63| # Verify downstream response matches recorded downstream response\n 64| downstream_response = open(\n 65| \"tests/recordings/ping/downstream_response.sse\", \"rb\"\n 66| ).read()\n 67| response_normalized = normalize_response(response.body)\n 68| recorded_response_normalized = normalize_response(downstream_response)\n 69| assert response_normalized == recorded_response_normalized\n 70|\n 71| # Installed requests-mock-1.12.1,\n 72| # TODO: Add it to requirements/dev.txt\n 73|" + }, + { + "role": "assistant", + "content": "REDACTED", + "tool_calls": [ + { + "type": "function", + "id": "call_UYH4JZjzMk18Qq2wGD60sVLb", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"explanation\":\"Remove the corrupted test file so we can recreate it cleanly with the intended refactor.\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_UYH4JZjzMk18Qq2wGD60sVLb", + "content": "File deleted successfully." + }, + { + "role": "assistant", + "content": "", + "tool_calls": [ + { + "type": "function", + "id": "call_JvL9LSFOV8WELrsdOHPYhzON", + "index": 0, + "function": { + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"instructions\":\"I will recreate this test file with the refactored, extensible class, proper helpers, and docstrings as requested.\",\"code_edit\":\"\\\"\\\"\\\"Functional tests using WebTest.\\n\\nSee: http://webtest.readthedocs.org/\\n\\\"\\\"\\\"\\n\\nimport json\\nimport os\\nimport re\\nfrom typing import Any\\n\\nfrom requests_mock import MockerCore\\nfrom webtest import TestApp\\n\\n\\nclass TestReplayRecording:\\n \\\"\\\"\\\"Tests the reply of /recordings//.\\n\\n This class is extensible via the ``recording`` attribute, which determines\\n which subdirectory under ``tests/recordings/`` to load fixtures from.\\n \\\"\\\"\\\"\\n\\n # The subdirectory under tests/recordings/ to load fixtures from\\n recording: str = \\\"ping\\\"\\n\\n # Endpoint to mock for the upstream request\\n UPSTREAM_URL = (\\n \\\"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\\\"\\n )\\n\\n def _get_request_path(self, kind: str) -> str:\\n \\\"\\\"\\\"Return path for a recorded request JSON of given kind.\\n\\n Example: kind=\\\"upstream\\\" -> tests/recordings//upstream_request.json\\n \\\"\\\"\\\"\\n return os.path.join(\\n \\\"tests\\\", \\\"recordings\\\", self.recording, f\\\"{kind}_request.json\\\"\\n )\\n\\n def _get_response_path(self, kind: str) -> str:\\n \\\"\\\"\\\"Return path for a recorded response SSE of given kind.\\n\\n Example: kind=\\\"downstream\\\" -> tests/recordings//downstream_response.sse\\n \\\"\\\"\\\"\\n return os.path.join(\\n \\\"tests\\\", \\\"recordings\\\", self.recording, f\\\"{kind}_response.sse\\\"\\n )\\n\\n def _normalize_response(self, sse_response: bytes) -> str:\\n \\\"\\\"\\\"Normalize the response id and created timestamp (use re.sub).\\\"\\\"\\\"\\n text = sse_response.decode(\\\"utf-8\\\")\\n text = re.sub(r'data: {\\\"id\\\":\\\"chatcmpl-(.*?)\\\"', 'data: {\\\"id\\\":\\\"chatcmpl-ABC123\\\"', text)\\n text = re.sub(r'\\\"created\\\":(\\\\d+)', '\\\"created\\\":1234567890', text)\\n return text\\n\\n def _mock_upstream(self, requests_mock: MockerCore) -> Any:\\n \\\"\\\"\\\"Mock upstream request with recorded SSE upstream response.\\n\\n Returns the mock object so callers can inspect ``last_request``.\\n \\\"\\\"\\\"\\n upstream_response_path = self._get_response_path(\\\"upstream\\\")\\n with open(upstream_response_path, \\\"rb\\\") as f:\\n body = f.read()\\n return requests_mock.post(self.UPSTREAM_URL, body=body)\\n\\n def _perform_downstream_request(self, testapp: TestApp):\\n \\\"\\\"\\\"Perform recorded downstream request and return the response.\\\"\\\"\\\"\\n downstream_request_path = self._get_request_path(\\\"downstream\\\")\\n with open(downstream_request_path, \\\"r\\\") as f:\\n downstream_request = f.read()\\n return testapp.post(\\n \\\"/chat/completions\\\",\\n status=200,\\n params=downstream_request,\\n headers={\\n \\\"Content-Type\\\": \\\"application/json\\\",\\n \\\"Authorization\\\": \\\"Bearer test-service-api-key\\\",\\n },\\n )\\n\\n def _verify_upstream_request(self, mock: Any) -> None:\\n \\\"\\\"\\\"Verify upstream request matches the recorded upstream request.\\\"\\\"\\\"\\n upstream_request_path = self._get_request_path(\\\"upstream\\\")\\n with open(upstream_request_path, \\\"r\\\") as f:\\n upstream_request = json.load(f)\\n assert mock.last_request.json() == upstream_request\\n\\n def _verify_downstream_response(self, response) -> None:\\n \\\"\\\"\\\"Verify downstream response matches the recorded downstream response.\\\"\\\"\\\"\\n downstream_response_path = self._get_response_path(\\\"downstream\\\")\\n with open(downstream_response_path, \\\"rb\\\") as f:\\n recorded_downstream_response = f.read()\\n response_normalized = self._normalize_response(response.body)\\n recorded_response_normalized = self._normalize_response(\\n recorded_downstream_response\\n )\\n assert response_normalized == recorded_response_normalized\\n\\n def test(self, testapp: TestApp, requests_mock: MockerCore):\\n \\\"\\\"\\\"Run the replay flow using the configured recording fixtures.\\\"\\\"\\\"\\n mock = self._mock_upstream(requests_mock)\\n response = self._perform_downstream_request(testapp)\\n self._verify_upstream_request(mock)\\n self._verify_downstream_response(response)\\n\"}" + } + } + ] + }, + { + "role": "tool", + "name": "REDACTED", + "tool_call_id": "call_JvL9LSFOV8WELrsdOHPYhzON", + "content": "The apply model made the following changes to the file:\n\n```\n- \n+ \"\"\"Functional tests using WebTest.\n+ \n+ See: http://webtest.readthedocs.org/\n+ \"\"\"\n+ \n+ import json\n+ import os\n+ import re\n+ from typing import Any\n+ \n+ from requests_mock import MockerCore\n+ from webtest import TestApp\n+ \n+ \n+ class TestReplayRecording:\n+ \"\"\"Tests the reply of /recordings//.\n+ \n+ This class is extensible via the ``recording`` attribute, which determines\n+ which subdirectory under ``tests/recordings/`` to load fixtures from.\n+ \"\"\"\n+ \n+ # The subdirectory under tests/recordings/ to load fixtures from\n+ recording: str = \"ping\"\n+ \n+ # Endpoint to mock for the upstream request\n+ UPSTREAM_URL = (\n+ \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\"\n+ )\n+ \n+ def _get_request_path(self, kind: str) -> str:\n+ \"\"\"Return path for a recorded request JSON of given kind.\n+ \n+ Example: kind=\"upstream\" -> tests/recordings//upstream_request.json\n+ \"\"\"\n+ return os.path.join(\n+ \"tests\", \"recordings\", self.recording, f\"{kind}_request.json\"\n+ )\n+ \n+ def _get_response_path(self, kind: str) -> str:\n+ \"\"\"Return path for a recorded response SSE of given kind.\n+ \n+ Example: kind=\"downstream\" -> tests/recordings//downstream_response.sse\n+ \"\"\"\n+ return os.path.join(\n+ \"tests\", \"recordings\", self.recording, f\"{kind}_response.sse\"\n+ )\n+ \n+ def _normalize_response(self, sse_response: bytes) -> str:\n+ \"\"\"Normalize the response id and created timestamp (use re.sub).\"\"\"\n+ text = sse_response.decode(\"utf-8\")\n+ text = re.sub(r'data: {\"id\":\"chatcmpl-(.*?)\"', 'data: {\"id\":\"chatcmpl-ABC123\"', text)\n+ text = re.sub(r'\"created\":(\\d+)', '\"created\":1234567890', text)\n+ return text\n+ \n+ def _mock_upstream(self, requests_mock: MockerCore) -> Any:\n+ \"\"\"Mock upstream request with recorded SSE upstream response.\n+ \n+ Returns the mock object so callers can inspect ``last_request``.\n+ \"\"\"\n+ upstream_response_path = self._get_response_path(\"upstream\")\n+ with open(upstream_response_path, \"rb\") as f:\n+ body = f.read()\n+ return requests_mock.post(self.UPSTREAM_URL, body=body)\n+ \n+ def _perform_downstream_request(self, testapp: TestApp):\n+ \"\"\"Perform recorded downstream request and return the response.\"\"\"\n+ downstream_request_path = self._get_request_path(\"downstream\")\n+ with open(downstream_request_path, \"r\") as f:\n+ downstream_request = f.read()\n+ return testapp.post(\n+ \"/chat/completions\",\n+ status=200,\n+ params=downstream_request,\n+ headers={\n+ \"Content-Type\": \"application/json\",\n+ \"Authorization\": \"Bearer test-service-api-key\",\n+ },\n+ )\n+ \n+ def _verify_upstream_request(self, mock: Any) -> None:\n+ \"\"\"Verify upstream request matches the recorded upstream request.\"\"\"\n+ upstream_request_path = self._get_request_path(\"upstream\")\n+ with open(upstream_request_path, \"r\") as f:\n+ upstream_request = json.load(f)\n+ assert mock.last_request.json() == upstream_request\n+ \n+ def _verify_downstream_response(self, response) -> None:\n+ \"\"\"Verify downstream response matches the recorded downstream response.\"\"\"\n+ downstream_response_path = self._get_response_path(\"downstream\")\n+ with open(downstream_response_path, \"rb\") as f:\n+ recorded_downstream_response = f.read()\n+ response_normalized = self._normalize_response(response.body)\n+ recorded_response_normalized = self._normalize_response(\n+ recorded_downstream_response\n+ )\n+ assert response_normalized == recorded_response_normalized\n+ \n+ def test(self, testapp: TestApp, requests_mock: MockerCore):\n+ \"\"\"Run the replay flow using the configured recording fixtures.\"\"\"\n+ mock = self._mock_upstream(requests_mock)\n+ response = self._perform_downstream_request(testapp)\n+ self._verify_upstream_request(mock)\n+ self._verify_downstream_response(response)\n+ \n```" + } + ], + "tools": [ + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_file": { + "type": "string", + "description": "REDACTED" + }, + "should_read_entire_file": { + "type": "boolean", + "description": "REDACTED" + }, + "start_line_one_indexed": { + "type": "integer", + "description": "REDACTED" + }, + "end_line_one_indexed_inclusive": { + "type": "integer", + "description": "REDACTED" + }, + "explanation": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "target_file", + "should_read_entire_file" + ] + } + } + }, + { + "type": "function", + "function": { + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "command": { + "type": "string", + "description": "REDACTED" + }, + "is_background": { + "type": 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new file mode 100644 index 0000000..514d6f3 --- /dev/null +++ b/tests/recordings/context_tool_call_invalid_json/upstream_request.json @@ -0,0 +1,654 @@ +{ + "instructions": "REDACTED", + "input": [ + { + "role": "user", + "content": [ + { + "type": "input_text", + "text": "REDACTED" + } + ] + }, + { + "role": "user", + "content": [ + { + "type": "input_text", + "text": "REDACTED" + } + ] + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/pyproject.toml\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":200,\"explanation\":\"Check the Python version and any tooling configs that might affect typing and flake8 #BREAK JSON", + "call_id": "call_4FV11dO0cANJcmBiybINeEtu" + }, + { + "type": "function_call_output", + "output": "Requested to read lines 1-200, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/pyproject.toml, lines 1-16 (entire file):\n 1|[tool.isort]\n 2|profile = \"black\"\n 3|\n 4|[tool.coverage.run]\n 5|source = [\"app\"]\n 6|omit = [\"tests/*\", \"autoapp.py\"]\n 7|\n 8|[tool.flake8]\n 9|ignore = [\"D401\", \"D202\", \"E226\", \"E302\", \"E41\", \"W503\", \"E203\"]\n 10|max-line-length = 120\n 11|max-complexity = 30\n 12|\n 13|[tool.pytest.ini_options]\n 14|filterwarnings = [\n 15| \"ignore::DeprecationWarning\",\n 16|]", + "status": "completed", + "call_id": "call_4FV11dO0cANJcmBiybINeEtu" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/app/commands.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Verify the flask CLI lint command exists and what it runs.\"}", + "call_id": "call_BUWisTddnJGfyDFMHxQEkXnQ" + }, + { + "type": "function_call_output", + "output": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/app/commands.py, lines 1-94 (entire file):\n 1|\"\"\"Click commands.\"\"\"\n 2|\n 3|import os\n 4|from glob import glob\n 5|from subprocess import call\n 6|\n 7|import click\n 8|\n 9|HERE = os.path.abspath(os.path.dirname(__file__))\n 10|PROJECT_ROOT = os.path.join(HERE, os.pardir)\n 11|TEST_PATH = os.path.join(PROJECT_ROOT, \"tests\")\n 12|\n 13|\n 14|@click.command()\n 15|@click.option(\n 16| \"-c/-C\",\n 17| \"--coverage/--no-coverage\",\n 18| default=True,\n 19| is_flag=True,\n 20| help=\"Show coverage report\",\n 21|)\n 22|@click.option(\n 23| \"-k\",\n 24| \"--filter\",\n 25| default=None,\n 26| help=\"Filter tests by keyword expressions\",\n 27|)\n 28|def test(coverage, filter):\n 29| \"\"\"Run the tests.\"\"\"\n 30| import pytest\n 31|\n 32| args = [TEST_PATH, \"--verbose\"]\n 33| if coverage:\n 34| args.append(\"--cov=app\")\n 35| args.append(\"--cov-branch\")\n 36| args.append(\"--cov-report=xml\")\n 37| args.append(\"--cov-report=html\")\n 38| args.append(\"--cov-report=term\")\n 39| if filter:\n 40| args.extend([\"-k\", filter])\n 41| rv = pytest.main(args=args)\n 42| exit(rv)\n 43|\n 44|\n 45|@click.command()\n 46|@click.option(\n 47| \"-f\",\n 48| \"--fix-imports\",\n 49| default=True,\n 50| is_flag=True,\n 51| help=\"Fix imports using isort, before linting\",\n 52|)\n 53|@click.option(\n 54| \"-c\",\n 55| \"--check\",\n 56| default=False,\n 57| is_flag=True,\n 58| help=\"Don't make any changes to files, just confirm they are formatted correctly\",\n 59|)\n 60|def lint(fix_imports, check):\n 61| \"\"\"Lint and check code style with black, flake8 and isort.\"\"\"\n 62| skip = [\n 63| \"requirements\",\n 64| \"migrations\",\n 65| \"supervisord\",\n 66| \"htmlcov\",\n 67| \"__pycache__\",\n 68| ]\n 69| root_files = glob(\"*.py\")\n 70| root_directories = [\n 71| name for name in next(os.walk(\".\"))[1] if not name.startswith(\".\")\n 72| ]\n 73| files_and_directories = [\n 74| arg for arg in root_files + root_directories if arg not in skip\n 75| ]\n 76|\n 77| def execute_tool(description, *args):\n 78| \"\"\"Execute a checking tool with its arguments.\"\"\"\n 79| command_line = list(args) + files_and_directories\n 80| click.echo(f\"{description}: {' '.join(command_line)}\")\n 81| rv = call(command_line)\n 82| if rv != 0:\n 83| exit(rv)\n 84|\n 85| isort_args = []\n 86| black_args = []\n 87| if check:\n 88| isort_args.append(\"--check\")\n 89| black_args.append(\"--check\")\n 90| if fix_imports:\n 91| execute_tool(\"Fixing import order\", \"isort\", *isort_args)\n 92| execute_tool(\"Formatting style\", \"black\", *black_args)\n 93| execute_tool(\"Checking code style\", \"flake8\")\n 94|", + "status": "completed", + "call_id": "call_BUWisTddnJGfyDFMHxQEkXnQ" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/app/__init__.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Understand how Flask app and CLI commands are set up, and if 'flask lint' is registered.\"}", + "call_id": "call_SKtLcZzYtBNWQDXdHkRSqlI0" + }, + { + "type": "function_call_output", + "output": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/app/__init__.py, lines 1-5 (entire file):\n 1|\"\"\"Main application package.\"\"\"\n 2|\n 3|__all__ = [\"create_app\"]\n 4|from .app import create_app\n 5|", + "status": "completed", + "call_id": "call_SKtLcZzYtBNWQDXdHkRSqlI0" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/app/app.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Check CLI registration and the app factory to ensure commands are registered, especially lint and test commands.\"}", + "call_id": "call_Ur70Dm3eIf4NdR4EbhHernwb" + }, + { + "type": "function_call_output", + "output": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/app/app.py, lines 1-42 (entire file):\n 1|\"\"\"The app module, containing the app factory function.\"\"\"\n 2|\n 3|import logging\n 4|import sys\n 5|\n 6|from flask import Flask\n 7|\n 8|from . import commands\n 9|from .blueprint import blueprint\n 10|\n 11|\n 12|def create_app(config_object=\"app.settings\"):\n 13| \"\"\"Create application factory, as explained here: http://flask.pocoo.org/docs/patterns/appfactories/.\n 14|\n 15| :param config_object: The configuration object to use.\n 16| \"\"\"\n 17| app = Flask(__name__.split(\".\")[0])\n 18| app.config.from_object(config_object)\n 19| register_commands(app)\n 20| register_blueprints(app)\n 21| configure_logger(app)\n 22| return app\n 23|\n 24|\n 25|def register_blueprints(app):\n 26| \"\"\"Register Flask blueprints.\"\"\"\n 27| app.register_blueprint(blueprint)\n 28| return None\n 29|\n 30|\n 31|def register_commands(app):\n 32| \"\"\"Register Click commands.\"\"\"\n 33| app.cli.add_command(commands.test)\n 34| app.cli.add_command(commands.lint)\n 35|\n 36|\n 37|def configure_logger(app):\n 38| \"\"\"Configure loggers.\"\"\"\n 39| handler = logging.StreamHandler(sys.stdout)\n 40| if not app.logger.handlers:\n 41| app.logger.addHandler(handler)\n 42|", + "status": "completed", + "call_id": "call_Ur70Dm3eIf4NdR4EbhHernwb" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/autoapp.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":200,\"explanation\":\"Check if this defines the Flask app for the CLI so 'flask lint' works by default.\"}", + "call_id": "call_0HrpxMFxd4OKKM6GWg5YpJiC" + }, + { + "type": "function_call_output", + "output": "Requested to read lines 1-200, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/autoapp.py, lines 1-6 (entire file):\n 1|\"\"\"Create an application instance.\"\"\"\n 2|\n 3|from app import create_app\n 4|\n 5|app = create_app()\n 6|", + "status": "completed", + "call_id": "call_0HrpxMFxd4OKKM6GWg5YpJiC" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/requirements/prod.txt\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Check whether 'requests' is already included as a prod dependency.\"}", + "call_id": "call_oxlkmymernZWcEviO7XnsK0d" + }, + { + "type": "function_call_output", + "output": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/requirements/prod.txt, lines 1-21 (entire file):\n 1|# Everything needed in production\n 2|\n 3|# Flask\n 4|click>=7.0\n 5|Flask==3.1.2\n 6|\n 7|# Logging\n 8|rich==14.1.0\n 9|loguru==0.7.3\n 10|\n 11|# Requests\n 12|requests==2.32.5\n 13|\n 14|# Deployment\n 15|gevent==25.8.2\n 16|gunicorn>=19.9.0\n 17|supervisor==4.3.0\n 18|\n 19|# Environment variable parsing\n 20|environs==14.3.0\n 21|", + "status": "completed", + "call_id": "call_oxlkmymernZWcEviO7XnsK0d" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/conftest.py\",\"should_read_entire_file\":false,\"start_line_one_indexed\":1,\"end_line_one_indexed_inclusive\":400,\"explanation\":\"Review test fixtures such as testapp and requests_mock plugin setup to ensure compatibility.\"}", + "call_id": "call_OUvEKOPBvyfP7Hzil4TnsAcT" + }, + { + "type": "function_call_output", + "output": "Requested to read lines 1-400, but returning the full file (since it's shorter than the requested range).\nContents of /home/gabri/componses/tests/conftest.py, lines 1-29 (entire file):\n 1|\"\"\"Defines fixtures available to all tests.\"\"\"\n 2|\n 3|import logging\n 4|\n 5|import pytest\n 6|from flask import Flask\n 7|from webtest import TestApp\n 8|\n 9|from app import create_app\n 10|\n 11|\n 12|@pytest.fixture\n 13|def app() -> Flask:\n 14| \"\"\"Create application for the tests.\"\"\"\n 15| _app = create_app(\"tests.settings\")\n 16| _app.logger.setLevel(logging.CRITICAL)\n 17| ctx = _app.test_request_context()\n 18| ctx.push()\n 19|\n 20| yield _app\n 21|\n 22| ctx.pop()\n 23|\n 24|\n 25|@pytest.fixture\n 26|def testapp(app) -> TestApp:\n 27| \"\"\"Create Webtest app.\"\"\"\n 28| return TestApp(app)\n 29|", + "status": "completed", + "call_id": "call_OUvEKOPBvyfP7Hzil4TnsAcT" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"instructions\":\"I will refactor the test class to be extensible with a `recording` attribute, move normalization into a private method using re.sub, add helper path methods, split the test workflow into four private methods, and make `test()` call those helpers.\",\"code_edit\":\"\\\"\\\"\\\"Functional tests using WebTest.\\n\\nSee: http://webtest.readthedocs.org/\\n\\\"\\\"\\\"\\n\\nimport json\\nimport os\\nimport re\\nfrom typing import Any\\n\\nfrom requests_mock import MockerCore\\nfrom webtest import TestApp\\n\\n\\nclass TestReplayRecording:\\n \\\"\\\"\\\"Tests the reply of /recordings//.\\\"\\\"\\\"\\n\\n # The subdirectory under tests/recordings/ to load fixtures from\\n recording: str = \\\"ping\\\"\\n\\n # Endpoint to mock for the upstream request\\n UPSTREAM_URL = (\\n \\\"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\\\"\\n )\\n\\n def _get_request_path(self, kind: str) -> str:\\n \\\"\\\"\\\"Return path for a recorded request JSON of given kind.\\n\\n Example: kind=\\\"upstream\\\" -> tests/recordings//upstream_request.json\\n \\\"\\\"\\\"\\n return os.path.join(\\n \\\"tests\\\", \\\"recordings\\\", self.recording, f\\\"{kind}_request.json\\\"\\n )\\n\\n def _get_response_path(self, kind: str) -> str:\\n \\\"\\\"\\\"Return path for a recorded response SSE of given kind.\\n\\n Example: kind=\\\"downstream\\\" -> tests/recordings//downstream_response.sse\\n \\\"\\\"\\\"\\n return os.path.join(\\n \\\"tests\\\", \\\"recordings\\\", self.recording, f\\\"{kind}_response.sse\\\"\\n )\\n\\n def _normalize_response(self, sse_response: bytes) -> str:\\n \\\"\\\"\\\"Normalize the response id and created timestamp (use re.sub).\\\"\\\"\\\"\\n text = sse_response.decode(\\\"utf-8\\\")\\n text = re.sub(r'data: {\\\"id\\\":\\\"chatcmpl-(.*?)\\\"', 'data: {\\\"id\\\":\\\"chatcmpl-ABC123\\\"', text)\\n text = re.sub(r'\\\"created\\\":(\\\\d+)', '\\\"created\\\":1234567890', text)\\n return text\\n\\n def _mock_upstream(self, requests_mock: MockerCore) -> Any:\\n \\\"\\\"\\\"Mock upstream request with recorded SSE upstream response.\\\"\\\"\\\"\\n upstream_response_path = self._get_response_path(\\\"upstream\\\")\\n with open(upstream_response_path, \\\"rb\\\") as f:\\n body = f.read()\\n return requests_mock.post(self.UPSTREAM_URL, body=body)\\n\\n def _perform_downstream_request(self, testapp: TestApp):\\n \\\"\\\"\\\"Perform recorded downstream request and return the response.\\\"\\\"\\\"\\n downstream_request_path = self._get_request_path(\\\"downstream\\\")\\n with open(downstream_request_path, \\\"r\\\") as f:\\n downstream_request = f.read()\\n return testapp.post(\\n \\\"/chat/completions\\\",\\n status=200,\\n params=downstream_request,\\n headers={\\n \\\"Content-Type\\\": \\\"application/json\\\",\\n \\\"Authorization\\\": \\\"Bearer test-service-api-key\\\",\\n },\\n )\\n\\n def _verify_upstream_request(self, mock: Any) -> None:\\n \\\"\\\"\\\"Verify upstream request matches the recorded upstream request.\\\"\\\"\\\"\\n upstream_request_path = self._get_request_path(\\\"upstream\\\")\\n with open(upstream_request_path, \\\"r\\\") as f:\\n upstream_request = json.load(f)\\n assert mock.last_request.json() == upstream_request\\n\\n def _verify_downstream_response(self, response) -> None:\\n \\\"\\\"\\\"Verify downstream response matches the recorded downstream response.\\\"\\\"\\\"\\n downstream_response_path = self._get_response_path(\\\"downstream\\\")\\n with open(downstream_response_path, \\\"rb\\\") as f:\\n recorded_downstream_response = f.read()\\n response_normalized = self._normalize_response(response.body)\\n recorded_response_normalized = self._normalize_response(\\n recorded_downstream_response\\n )\\n assert response_normalized == recorded_response_normalized\\n\\n def test(self, testapp: TestApp, requests_mock: MockerCore):\\n mock = self._mock_upstream(requests_mock)\\n response = self._perform_downstream_request(testapp)\\n self._verify_upstream_request(mock)\\n self._verify_downstream_response(response)\\n\"}", + "call_id": "call_Mig72ssZK02hDIIDbaVJC4pV" + }, + { + "type": "function_call_output", + "output": "The apply model made the following changes to the file:\n\n```\n \n import json\n+ import os\n import re\n+ from typing import Any\n \n from requests_mock import MockerCore\n from webtest import TestApp\n \n- \n- def normalize_response(sse_response: bytes) -> bytes:\n- \"\"\"Normalize the response id and created timestamp.\"\"\"\n- \n- # TODO: Change to use re.sub instead of compiled regexes\n- a = re.compile(r'data: {\"id\":\"chatcmpl-(.*?)\"')\n- b = re.compile(r'\"created\":(\\d+)')\n- sse_response = sse_response.decode(\"utf-8\")\n- sse_response = a.sub('data: {\"id\":\"chatcmpl-ABC123\"', sse_response)\n- sse_response = b.sub('\"created\":1234567890', sse_response)\n- return sse_response\n- \n \n class TestReplayRecording:\n- \"\"\"Tests the reply of /recordings/ping/.\"\"\"\n- \n- def test(self, testapp: TestApp, requests_mock: MockerCore):\n- # Mock upstream request with recorded sse upstream response\n- mock = requests_mock.post(\n- \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\",\n- body=open(\"tests/recordings/ping/upstream_response.sse\", \"rb\"),\n- )\n- \n- # Perform recorded downstream request\n- downstream_request = open(\"tests/recordings/ping/downstream_request.json\").read()\n- response = testapp.post(\n+ \"\"\"Tests the reply of /recordings//.\"\"\"\n+ \n+ # The subdirectory under tests/recordings/ to load fixtures from\n+ recording: str = \"ping\"\n+ \n+ # Endpoint to mock for the upstream request\n+ UPSTREAM_URL = (\n+ \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\"\n+ )\n+ \n+ def _get_request_path(self, kind: str) -> str:\n+ \"\"\"Return path for a recorded request JSON of given kind.\n+ \n+ Example: kind=\"upstream\" -> tests/recordings//upstream_request.json\n+ \"\"\"\n+ return os.path.join(\n+ \"tests\", \"recordings\", self.recording, f\"{kind}_request.json\"\n+ )\n+ \n+ def _get_response_path(self, kind: str) -> str:\n+ \"\"\"Return path for a recorded response SSE of given kind.\n+ \n+ Example: kind=\"downstream\" -> tests/recordings//downstream_response.sse\n+ \"\"\"\n+ return os.path.join(\n+ \"tests\", \"recordings\", self.recording, f\"{kind}_response.sse\"\n+ )\n+ \n+ def _normalize_response(self, sse_response: bytes) -> str:\n+ \"\"\"Normalize the response id and created timestamp (use re.sub).\"\"\"\n+ text = sse_response.decode(\"utf-8\")\n+ text = re.sub(r'data: {\"id\":\"chatcmpl-(.*?)\"', 'data: {\"id\":\"chatcmpl-ABC123\"', text)\n+ text = re.sub(r'\"created\":(\\d+)', '\"created\":1234567890', text)\n+ return text\n+ \n+ def _mock_upstream(self, requests_mock: MockerCore) -> Any:\n+ \"\"\"Mock upstream request with recorded SSE upstream response.\"\"\"\n+ upstream_response_path = self._get_response_path(\"upstream\")\n+ with open(upstream_response_path, \"rb\") as f:\n+ body = f.read()\n+ return requests_mock.post(self.UPSTREAM_URL, body=body)\n+ \n+ def _perform_downstream_request(self, testapp: TestApp):\n+ \"\"\"Perform recorded downstream request and return the response.\"\"\"\n+ downstream_request_path = self._get_request_path(\"downstream\")\n+ with open(downstream_request_path, \"r\") as f:\n+ downstream_request = f.read()\n+ return testapp.post(\n \"/chat/completions\",\n status=200,\n...\n )\n \n- # Verify upstream request matches recorded upstream request\n- upstream_request = open(\"tests/recordings/ping/upstream_request.json\").read()\n- assert mock.last_request.json() == json.loads(upstream_request)\n+ def _verify_upstream_request(self, mock: Any) -> None:\n+ \"\"\"Verify upstream request matches the recorded upstream request.\"\"\"\n+ upstream_request_path = self._get_request_path(\"upstream\")\n+ with open(upstream_request_path, \"r\") as f:\n+ upstream_request = json.load(f)\n+ assert mock.last_request.json() == upstream_request\n \n- # Verify downstream response matches recorded downstream response\n- downstream_response = open(\n- \"tests/recordings/ping/downstream_response.sse\", \"rb\"\n- ).read()\n- response_normalized = normalize_response(response.body)\n- recorded_response_normalized = normalize_response(downstream_response)\n+ def _verify_downstream_response(self, response) -> None:\n+ \"\"\"Verify downstream response matches the recorded downstream response.\"\"\"\n+ downstream_response_path = self._get_response_path(\"downstream\")\n+ with open(downstream_response_path, \"rb\") as f:\n+ recorded_downstream_response = f.read()\n+ response_normalized = self._normalize_response(response.body)\n+ recorded_response_normalized = self._normalize_response(\n+ recorded_downstream_response\n+ )\n assert response_normalized == recorded_response_normalized\n \n- # Installed requests-mock-1.12.1,\n- # TODO: Add it to requirements/dev.txt\n+ def test(self, testapp: TestApp, requests_mock: MockerCore):\n+ mock = self._mock_upstream(requests_mock)\n+ response = self._perform_downstream_request(testapp)\n+ self._verify_upstream_request(mock)\n+ self._verify_downstream_response(response)\n \n```", + "status": "completed", + "call_id": "call_Mig72ssZK02hDIIDbaVJC4pV" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/requirements/dev.txt\",\"instructions\":\"I will add requests-mock as a testing dependency per the TODO note.\",\"code_edit\":\"# Everything the developer needs in addition to the production requirements\\n-r prod.txt\\n\\n# Testing\\nfactory-boy==3.3.3\\npytest==8.4.2\\npytest-cov==7.0.0\\nWebTest==3.0.6\\nrequests-mock==1.12.1\\n\\n# Lint and code style\\nblack==25.1.0\\nflake8-blind-except==0.2.1\\nflake8-debugger==4.1.2\\nflake8-docstrings==1.7.0\\nflake8-isort==6.1.2\\nFlake8-pyproject==1.2.3\\nflake8==7.3.0\\nisort==6.0.1\\npep8-naming==0.15.1\\n\"}", + "call_id": "call_CIDD6twcNy9fBycZUUtFOuh7" + }, + { + "type": "function_call_output", + "output": "The apply model made the following changes to the file:\n\n```\n pytest-cov==7.0.0\n WebTest==3.0.6\n+ requests-mock==1.12.1\n \n # Lint and code style\n```", + "status": "completed", + "call_id": "call_CIDD6twcNy9fBycZUUtFOuh7" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"command\":\"source .venv/bin/activate && flask lint\",\"is_background\":false,\"explanation\":\"Run the project\u2019s lint command after making code edits, as required by workspace rules.\"}", + "call_id": "call_hCrrHRkt8BDlblpqBLSmSQtH" + }, + { + "type": "function_call_output", + "output": "Exit code: 1\n\nCommand output:\n\n```\nFixing import order: isort autoapp.py assets componses app tests recordings\nFormatting style: black autoapp.py assets componses app tests recordings\nreformatted /home/gabri/componses/tests/test_replay_recording.py\n\nAll done! \u2728 \ud83c\udf70 \u2728\n1 file reformatted, 20 files left unchanged.\nChecking code style: flake8 autoapp.py assets componses app tests recordings\ntests/test_replay_recording.py:91:1: D102 Missing docstring in public method\n```\n\nCommand completed.\n\nThe previous shell command ended, so on the next invocation of this tool, you will be reusing the shell.\n\nOn the next terminal tool call, the directory of the shell will already be /home/gabri/componses.", + "status": "completed", + "call_id": "call_hCrrHRkt8BDlblpqBLSmSQtH" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"should_read_entire_file\":true,\"explanation\":\"Inspect the current file content and line numbers to locate flake8 D102 issue and add missing docstring accordingly.\"}", + "call_id": "call_S7oJekFCnLT4N3RXqZGS8Ons" + }, + { + "type": "function_call_output", + "output": "Contents of /home/gabri/componses/tests/test_replay_recording.py, lines 1-96 (entire file):\n 1|\"\"\"Functional tests using WebTest.\n 2|\n 3|See: http://webtest.readthedocs.org/\n 4|\"\"\"\n 5|\n 6|import json\n 7|import os\n 8|import re\n 9|from typing import Any\n 10|\n 11|from requests_mock import MockerCore\n 12|from webtest import TestApp\n 13|\n 14|\n 15|class TestReplayRecording:\n 16| \"\"\"Tests the reply of /recordings//.\"\"\"\n 17|\n 18| # The subdirectory under tests/recordings/ to load fixtures from\n 19| recording: str = \"ping\"\n 20|\n 21| # Endpoint to mock for the upstream request\n 22| UPSTREAM_URL = \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\"\n 23|\n 24| def _get_request_path(self, kind: str) -> str:\n 25| \"\"\"Return path for a recorded request JSON of given kind.\n 26|\n 27| Example: kind=\"upstream\" -> tests/recordings//upstream_request.json\n 28| \"\"\"\n 29| return os.path.join(\n 30| \"tests\", \"recordings\", self.recording, f\"{kind}_request.json\"\n 31| )\n 32|\n 33| def _get_response_path(self, kind: str) -> str:\n 34| \"\"\"Return path for a recorded response SSE of given kind.\n 35|\n 36| Example: kind=\"downstream\" -> tests/recordings//downstream_response.sse\n 37| \"\"\"\n 38| return os.path.join(\n 39| \"tests\", \"recordings\", self.recording, f\"{kind}_response.sse\"\n 40| )\n 41|\n 42| def _normalize_response(self, sse_response: bytes) -> str:\n 43| \"\"\"Normalize the response id and created timestamp (use re.sub).\"\"\"\n 44| text = sse_response.decode(\"utf-8\")\n 45| text = re.sub(\n 46| r'data: {\"id\":\"chatcmpl-(.*?)\"', 'data: {\"id\":\"chatcmpl-ABC123\"', text\n 47| )\n 48| text = re.sub(r'\"created\":(\\d+)', '\"created\":1234567890', text)\n 49| return text\n 50|\n 51| def _mock_upstream(self, requests_mock: MockerCore) -> Any:\n 52| \"\"\"Mock upstream request with recorded SSE upstream response.\"\"\"\n 53| upstream_response_path = self._get_response_path(\"upstream\")\n 54| with open(upstream_response_path, \"rb\") as f:\n 55| body = f.read()\n 56| return requests_mock.post(self.UPSTREAM_URL, body=body)\n 57|\n 58| def _perform_downstream_request(self, testapp: TestApp):\n 59| \"\"\"Perform recorded downstream request and return the response.\"\"\"\n 60| downstream_request_path = self._get_request_path(\"downstream\")\n 61| with open(downstream_request_path, \"r\") as f:\n 62| downstream_request = f.read()\n 63| return testapp.post(\n 64| \"/chat/completions\",\n 65| status=200,\n 66| params=downstream_request,\n 67| headers={\n 68| \"Content-Type\": \"application/json\",\n 69| \"Authorization\": \"Bearer test-service-api-key\",\n 70| },\n 71| )\n 72|\n 73| def _verify_upstream_request(self, mock: Any) -> None:\n 74| \"\"\"Verify upstream request matches the recorded upstream request.\"\"\"\n 75| upstream_request_path = self._get_request_path(\"upstream\")\n 76| with open(upstream_request_path, \"r\") as f:\n 77| upstream_request = json.load(f)\n 78| assert mock.last_request.json() == upstream_request\n 79|\n 80| def _verify_downstream_response(self, response) -> None:\n 81| \"\"\"Verify downstream response matches the recorded downstream response.\"\"\"\n 82| downstream_response_path = self._get_response_path(\"downstream\")\n 83| with open(downstream_response_path, \"rb\") as f:\n 84| recorded_downstream_response = f.read()\n 85| response_normalized = self._normalize_response(response.body)\n 86| recorded_response_normalized = self._normalize_response(\n 87| recorded_downstream_response\n 88| )\n 89| assert response_normalized == recorded_response_normalized\n 90|\n 91| def test(self, testapp: TestApp, requests_mock: MockerCore):\n 92| mock = self._mock_upstream(requests_mock)\n 93| response = self._perform_downstream_request(testapp)\n 94| self._verify_upstream_request(mock)\n 95| self._verify_downstream_response(response)\n 96|", + "status": "completed", + "call_id": "call_S7oJekFCnLT4N3RXqZGS8Ons" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"instructions\":\"I will add a short docstring to the public test() method to satisfy flake8 D102.\",\"code_edit\":\"// ... existing code ...\\n def test(self, testapp: TestApp, requests_mock: MockerCore):\\n+ \\\"\\\"\\\"Run the replay flow using the configured recording fixtures.\\\"\\\"\\\"\\n mock = self._mock_upstream(requests_mock)\\n response = self._perform_downstream_request(testapp)\\n self._verify_upstream_request(mock)\\n self._verify_downstream_response(response)\\n// ... existing code ...\"}", + "call_id": "call_sGRyjz7ajH0XR1UAViUHXeJc" + }, + { + "type": "function_call_output", + "output": "The apply model made the following changes to the file:\n\n```\n \n import json\n- import os\n import re\n- from typing import Any\n \n from requests_mock import MockerCore\n from webtest import TestApp\n \n+ \n+ def normalize_response(sse_response: bytes) -> bytes:\n+ \"\"\"Normalize the response id and created timestamp.\"\"\"\n+ \n+ # TODO: Change to use re.sub instead of compiled regexes\n+ a = re.compile(r'data: {\"id\":\"chatcmpl-(.*?)\"')\n+ b = re.compile(r'\"created\":(\\d+)')\n+ sse_response = sse_response.decode(\"utf-8\")\n+ sse_response = a.sub('data: {\"id\":\"chatcmpl-ABC123\"', sse_response)\n+ sse_response = b.sub('\"created\":1234567890', sse_response)\n+ return sse_response\n+ \n \n class TestReplayRecording:\n- \"\"\"Tests the reply of /recordings//.\"\"\"\n- \n- # The subdirectory under tests/recordings/ to load fixtures from\n- recording: str = \"ping\"\n- \n- # Endpoint to mock for the upstream request\n- UPSTREAM_URL = \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\"\n- \n- def _get_request_path(self, kind: str) -> str:\n- \"\"\"Return path for a recorded request JSON of given kind.\n- \n- Example: kind=\"upstream\" -> tests/recordings//upstream_request.json\n- \"\"\"\n- return os.path.join(\n- \"tests\", \"recordings\", self.recording, f\"{kind}_request.json\"\n- )\n- \n- def _get_response_path(self, kind: str) -> str:\n- \"\"\"Return path for a recorded response SSE of given kind.\n- \n- Example: kind=\"downstream\" -> tests/recordings//downstream_response.sse\n- \"\"\"\n- return os.path.join(\n- \"tests\", \"recordings\", self.recording, f\"{kind}_response.sse\"\n- )\n- \n- def _normalize_response(self, sse_response: bytes) -> str:\n- \"\"\"Normalize the response id and created timestamp (use re.sub).\"\"\"\n- text = sse_response.decode(\"utf-8\")\n- text = re.sub(\n- r'data: {\"id\":\"chatcmpl-(.*?)\"', 'data: {\"id\":\"chatcmpl-ABC123\"', text\n- )\n- text = re.sub(r'\"created\":(\\d+)', '\"created\":1234567890', text)\n- return text\n- \n- def _mock_upstream(self, requests_mock: MockerCore) -> Any:\n- \"\"\"Mock upstream request with recorded SSE upstream response.\"\"\"\n- upstream_response_path = self._get_response_path(\"upstream\")\n- with open(upstream_response_path, \"rb\") as f:\n- body = f.read()\n- return requests_mock.post(self.UPSTREAM_URL, body=body)\n- \n- def _perform_downstream_request(self, testapp: TestApp):\n- \"\"\"Perform recorded downstream request and return the response.\"\"\"\n- downstream_request_path = self._get_request_path(\"downstream\")\n- with open(downstream_request_path, \"r\") as f:\n- downstream_request = f.read()\n- return testapp.post(\n- \"/chat/completions\",\n- status=200,\n- params=downstream_request,\n- headers={\n- \"Content-Type\": \"application/json\",\n- \"Authorization\": \"Bearer test-service-api-key\",\n- },\n- )\n- \n- def _verify_upstream_request(self, mock: Any) -> None:\n- \"\"\"Verify upstream request matches the recorded upstream request.\"\"\"\n- upstream_request_path = self._get_request_path(\"upstream\")\n- with open(upstream_request_path, \"r\") as f:\n- upstream_request = json.load(f)\n- assert mock.last_request.json() == upstream_request\n- \n- def _verify_downstream_response(self, response) -> None:\n- \"\"\"Verify downstream response matches the recorded downstream response.\"\"\"\n- downstream_response_path = self._get_response_path(\"downstream\")\n- with open(downstream_response_path, \"rb\") as f:\n- recorded_downstream_response = f.read()\n- response_normalized = self._normalize_response(response.body)\n- recorded_response_normalized = self._normalize_response(\n- recorded_downstream_response\n- )\n- assert response_normalized == recorded_response_normalized\n+ \"\"\"Tests the reply of /recordings/ping/.\"\"\"\n \n def test(self, testapp: TestApp, requests_mock: MockerCore):\n+ \"\"\"Run the replay flow using the configured recording fixtures.\"\"\"\n mock = self._mock_upstream(requests_mock)\n response = self._perform_downstream_request(testapp)\n self._verify_upstream_request(mock)\n self._verify_downstream_response(response)\n+ \n+ # Installed requests-mock-1.12.1,\n+ # TODO: Add it to requirements/dev.txt\n \n```", + "status": "completed", + "call_id": "call_sGRyjz7ajH0XR1UAViUHXeJc" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\"}", + "call_id": "call_KgpVH3dIVLZbCRWQ9PFZERuN" + }, + { + "type": "function_call_output", + "output": " \n def test(self, testapp: TestApp, requests_mock: MockerCore):\n+ \"\"\"Run the replay flow using the configured recording fixtures.\"\"\"\n+ mock = self._mock_upstream(requests_mock)\n+ response = self._perform_downstream_request(testapp)\n+ self._verify_upstream_request(mock)\n+ self._verify_downstream_response(response)\n+ \n+ def _mock_upstream(self, requests_mock: MockerCore):\n # Mock upstream request with recorded sse upstream response\n mock = requests_mock.post(\n \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\",\n body=open(\"tests/recordings/ping/upstream_response.sse\", \"rb\"),\n )\n+ return mock\n \n+ def _perform_downstream_request(self, testapp: TestApp):\n # Perform recorded downstream request\n downstream_request = open(\"tests/recordings/ping/downstream_request.json\").read()\n\n },\n )\n+ return response\n \n+ def _verify_upstream_request(self, mock: MockerCore):\n # Verify upstream request matches recorded upstream request\n upstream_request = open(\"tests/recordings/ping/upstream_request.json\").read()\n assert mock.last_request.json() == json.loads(upstream_request)\n \n+ def _verify_downstream_response(self, response: TestApp.TestResponse):\n # Verify downstream response matches recorded downstream response\n downstream_response = open(", + "status": "completed", + "call_id": "call_KgpVH3dIVLZbCRWQ9PFZERuN" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"should_read_entire_file\":true,\"explanation\":\"Assess the current file after previous flawed edits so we can correct it fully.\"}", + "call_id": "call_igUg0ZnXhJ162Jo9FgSkFn1b" + }, + { + "type": "function_call_output", + "output": "Contents of /home/gabri/componses/tests/test_replay_recording.py, lines 1-73 (entire file):\n 1|\"\"\"Functional tests using WebTest.\n 2|\n 3|See: http://webtest.readthedocs.org/\n 4|\"\"\"\n 5|\n 6|import json\n 7|import re\n 8|\n 9|from requests_mock import MockerCore\n 10|from webtest import TestApp\n 11|\n 12|\n 13|def normalize_response(sse_response: bytes) -> bytes:\n 14| \"\"\"Normalize the response id and created timestamp.\"\"\"\n 15|\n 16| # TODO: Change to use re.sub instead of compiled regexes\n 17| a = re.compile(r'data: {\"id\":\"chatcmpl-(.*?)\"')\n 18| b = re.compile(r'\"created\":(\\d+)')\n 19| sse_response = sse_response.decode(\"utf-8\")\n 20| sse_response = a.sub('data: {\"id\":\"chatcmpl-ABC123\"', sse_response)\n 21| sse_response = b.sub('\"created\":1234567890', sse_response)\n 22| return sse_response\n 23|\n 24|\n 25|class TestReplayRecording:\n 26| \"\"\"Tests the reply of /recordings/ping/.\"\"\"\n 27|\n 28| def test(self, testapp: TestApp, requests_mock: MockerCore):\n 29| \"\"\"Run the replay flow using the configured recording fixtures.\"\"\"\n 30| mock = self._mock_upstream(requests_mock)\n 31| response = self._perform_downstream_request(testapp)\n 32| self._verify_upstream_request(mock)\n 33| self._verify_downstream_response(response)\n 34|\n 35| def _mock_upstream(self, requests_mock: MockerCore):\n 36| # Mock upstream request with recorded sse upstream response\n 37| mock = requests_mock.post(\n 38| \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\",\n 39| body=open(\"tests/recordings/ping/upstream_response.sse\", \"rb\"),\n 40| )\n 41| return mock\n 42|\n 43| def _perform_downstream_request(self, testapp: TestApp):\n 44| # Perform recorded downstream request\n 45| downstream_request = open(\"tests/recordings/ping/downstream_request.json\").read()\n 46| response = testapp.post(\n 47| \"/chat/completions\",\n 48| status=200,\n 49| params=downstream_request,\n 50| headers={\n 51| \"Content-Type\": \"application/json\",\n 52| \"Authorization\": \"Bearer test-service-api-key\",\n 53| },\n 54| )\n 55| return response\n 56|\n 57| def _verify_upstream_request(self, mock: MockerCore):\n 58| # Verify upstream request matches recorded upstream request\n 59| upstream_request = open(\"tests/recordings/ping/upstream_request.json\").read()\n 60| assert mock.last_request.json() == json.loads(upstream_request)\n 61|\n 62| def _verify_downstream_response(self, response: TestApp.TestResponse):\n 63| # Verify downstream response matches recorded downstream response\n 64| downstream_response = open(\n 65| \"tests/recordings/ping/downstream_response.sse\", \"rb\"\n 66| ).read()\n 67| response_normalized = normalize_response(response.body)\n 68| recorded_response_normalized = normalize_response(downstream_response)\n 69| assert response_normalized == recorded_response_normalized\n 70|\n 71| # Installed requests-mock-1.12.1,\n 72| # TODO: Add it to requirements/dev.txt\n 73|", + "status": "completed", + "call_id": "call_igUg0ZnXhJ162Jo9FgSkFn1b" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "REDACTED" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"explanation\":\"Remove the corrupted test file so we can recreate it cleanly with the intended refactor.\"}", + "call_id": "call_UYH4JZjzMk18Qq2wGD60sVLb" + }, + { + "type": "function_call_output", + "output": "File deleted successfully.", + "status": "completed", + "call_id": "call_UYH4JZjzMk18Qq2wGD60sVLb" + }, + { + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": "" + } + ] + }, + { + "type": "function_call", + "name": "REDACTED", + "arguments": "{\"target_file\":\"/home/gabri/componses/tests/test_replay_recording.py\",\"instructions\":\"I will recreate this test file with the refactored, extensible class, proper helpers, and docstrings as requested.\",\"code_edit\":\"\\\"\\\"\\\"Functional tests using WebTest.\\n\\nSee: http://webtest.readthedocs.org/\\n\\\"\\\"\\\"\\n\\nimport json\\nimport os\\nimport re\\nfrom typing import Any\\n\\nfrom requests_mock import MockerCore\\nfrom webtest import TestApp\\n\\n\\nclass TestReplayRecording:\\n \\\"\\\"\\\"Tests the reply of /recordings//.\\n\\n This class is extensible via the ``recording`` attribute, which determines\\n which subdirectory under ``tests/recordings/`` to load fixtures from.\\n \\\"\\\"\\\"\\n\\n # The subdirectory under tests/recordings/ to load fixtures from\\n recording: str = \\\"ping\\\"\\n\\n # Endpoint to mock for the upstream request\\n UPSTREAM_URL = (\\n \\\"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\\\"\\n )\\n\\n def _get_request_path(self, kind: str) -> str:\\n \\\"\\\"\\\"Return path for a recorded request JSON of given kind.\\n\\n Example: kind=\\\"upstream\\\" -> tests/recordings//upstream_request.json\\n \\\"\\\"\\\"\\n return os.path.join(\\n \\\"tests\\\", \\\"recordings\\\", self.recording, f\\\"{kind}_request.json\\\"\\n )\\n\\n def _get_response_path(self, kind: str) -> str:\\n \\\"\\\"\\\"Return path for a recorded response SSE of given kind.\\n\\n Example: kind=\\\"downstream\\\" -> tests/recordings//downstream_response.sse\\n \\\"\\\"\\\"\\n return os.path.join(\\n \\\"tests\\\", \\\"recordings\\\", self.recording, f\\\"{kind}_response.sse\\\"\\n )\\n\\n def _normalize_response(self, sse_response: bytes) -> str:\\n \\\"\\\"\\\"Normalize the response id and created timestamp (use re.sub).\\\"\\\"\\\"\\n text = sse_response.decode(\\\"utf-8\\\")\\n text = re.sub(r'data: {\\\"id\\\":\\\"chatcmpl-(.*?)\\\"', 'data: {\\\"id\\\":\\\"chatcmpl-ABC123\\\"', text)\\n text = re.sub(r'\\\"created\\\":(\\\\d+)', '\\\"created\\\":1234567890', text)\\n return text\\n\\n def _mock_upstream(self, requests_mock: MockerCore) -> Any:\\n \\\"\\\"\\\"Mock upstream request with recorded SSE upstream response.\\n\\n Returns the mock object so callers can inspect ``last_request``.\\n \\\"\\\"\\\"\\n upstream_response_path = self._get_response_path(\\\"upstream\\\")\\n with open(upstream_response_path, \\\"rb\\\") as f:\\n body = f.read()\\n return requests_mock.post(self.UPSTREAM_URL, body=body)\\n\\n def _perform_downstream_request(self, testapp: TestApp):\\n \\\"\\\"\\\"Perform recorded downstream request and return the response.\\\"\\\"\\\"\\n downstream_request_path = self._get_request_path(\\\"downstream\\\")\\n with open(downstream_request_path, \\\"r\\\") as f:\\n downstream_request = f.read()\\n return testapp.post(\\n \\\"/chat/completions\\\",\\n status=200,\\n params=downstream_request,\\n headers={\\n \\\"Content-Type\\\": \\\"application/json\\\",\\n \\\"Authorization\\\": \\\"Bearer test-service-api-key\\\",\\n },\\n )\\n\\n def _verify_upstream_request(self, mock: Any) -> None:\\n \\\"\\\"\\\"Verify upstream request matches the recorded upstream request.\\\"\\\"\\\"\\n upstream_request_path = self._get_request_path(\\\"upstream\\\")\\n with open(upstream_request_path, \\\"r\\\") as f:\\n upstream_request = json.load(f)\\n assert mock.last_request.json() == upstream_request\\n\\n def _verify_downstream_response(self, response) -> None:\\n \\\"\\\"\\\"Verify downstream response matches the recorded downstream response.\\\"\\\"\\\"\\n downstream_response_path = self._get_response_path(\\\"downstream\\\")\\n with open(downstream_response_path, \\\"rb\\\") as f:\\n recorded_downstream_response = f.read()\\n response_normalized = self._normalize_response(response.body)\\n recorded_response_normalized = self._normalize_response(\\n recorded_downstream_response\\n )\\n assert response_normalized == recorded_response_normalized\\n\\n def test(self, testapp: TestApp, requests_mock: MockerCore):\\n \\\"\\\"\\\"Run the replay flow using the configured recording fixtures.\\\"\\\"\\\"\\n mock = self._mock_upstream(requests_mock)\\n response = self._perform_downstream_request(testapp)\\n self._verify_upstream_request(mock)\\n self._verify_downstream_response(response)\\n\"}", + "call_id": "call_JvL9LSFOV8WELrsdOHPYhzON" + }, + { + "type": "function_call_output", + "output": "The apply model made the following changes to the file:\n\n```\n- \n+ \"\"\"Functional tests using WebTest.\n+ \n+ See: http://webtest.readthedocs.org/\n+ \"\"\"\n+ \n+ import json\n+ import os\n+ import re\n+ from typing import Any\n+ \n+ from requests_mock import MockerCore\n+ from webtest import TestApp\n+ \n+ \n+ class TestReplayRecording:\n+ \"\"\"Tests the reply of /recordings//.\n+ \n+ This class is extensible via the ``recording`` attribute, which determines\n+ which subdirectory under ``tests/recordings/`` to load fixtures from.\n+ \"\"\"\n+ \n+ # The subdirectory under tests/recordings/ to load fixtures from\n+ recording: str = \"ping\"\n+ \n+ # Endpoint to mock for the upstream request\n+ UPSTREAM_URL = (\n+ \"https://test-resource.openai.azure.com/openai/responses?api-version=2025-04-01-preview\"\n+ )\n+ \n+ def _get_request_path(self, kind: str) -> str:\n+ \"\"\"Return path for a recorded request JSON of given kind.\n+ \n+ Example: kind=\"upstream\" -> tests/recordings//upstream_request.json\n+ \"\"\"\n+ return os.path.join(\n+ \"tests\", \"recordings\", self.recording, f\"{kind}_request.json\"\n+ )\n+ \n+ def _get_response_path(self, kind: str) -> str:\n+ \"\"\"Return path for a recorded response SSE of given kind.\n+ \n+ Example: kind=\"downstream\" -> tests/recordings//downstream_response.sse\n+ \"\"\"\n+ return os.path.join(\n+ \"tests\", \"recordings\", self.recording, f\"{kind}_response.sse\"\n+ )\n+ \n+ def _normalize_response(self, sse_response: bytes) -> str:\n+ \"\"\"Normalize the response id and created timestamp (use re.sub).\"\"\"\n+ text = sse_response.decode(\"utf-8\")\n+ text = re.sub(r'data: {\"id\":\"chatcmpl-(.*?)\"', 'data: {\"id\":\"chatcmpl-ABC123\"', text)\n+ text = re.sub(r'\"created\":(\\d+)', '\"created\":1234567890', text)\n+ return text\n+ \n+ def _mock_upstream(self, requests_mock: MockerCore) -> Any:\n+ \"\"\"Mock upstream request with recorded SSE upstream response.\n+ \n+ Returns the mock object so callers can inspect ``last_request``.\n+ \"\"\"\n+ upstream_response_path = self._get_response_path(\"upstream\")\n+ with open(upstream_response_path, \"rb\") as f:\n+ body = f.read()\n+ return requests_mock.post(self.UPSTREAM_URL, body=body)\n+ \n+ def _perform_downstream_request(self, testapp: TestApp):\n+ \"\"\"Perform recorded downstream request and return the response.\"\"\"\n+ downstream_request_path = self._get_request_path(\"downstream\")\n+ with open(downstream_request_path, \"r\") as f:\n+ downstream_request = f.read()\n+ return testapp.post(\n+ \"/chat/completions\",\n+ status=200,\n+ params=downstream_request,\n+ headers={\n+ \"Content-Type\": \"application/json\",\n+ \"Authorization\": \"Bearer test-service-api-key\",\n+ },\n+ )\n+ \n+ def _verify_upstream_request(self, mock: Any) -> None:\n+ \"\"\"Verify upstream request matches the recorded upstream request.\"\"\"\n+ upstream_request_path = self._get_request_path(\"upstream\")\n+ with open(upstream_request_path, \"r\") as f:\n+ upstream_request = json.load(f)\n+ assert mock.last_request.json() == upstream_request\n+ \n+ def _verify_downstream_response(self, response) -> None:\n+ \"\"\"Verify downstream response matches the recorded downstream response.\"\"\"\n+ downstream_response_path = self._get_response_path(\"downstream\")\n+ with open(downstream_response_path, \"rb\") as f:\n+ recorded_downstream_response = f.read()\n+ response_normalized = self._normalize_response(response.body)\n+ recorded_response_normalized = self._normalize_response(\n+ recorded_downstream_response\n+ )\n+ assert response_normalized == recorded_response_normalized\n+ \n+ def test(self, testapp: TestApp, requests_mock: MockerCore):\n+ \"\"\"Run the replay flow using the configured recording fixtures.\"\"\"\n+ mock = self._mock_upstream(requests_mock)\n+ response = self._perform_downstream_request(testapp)\n+ self._verify_upstream_request(mock)\n+ self._verify_downstream_response(response)\n+ \n```", + "status": "completed", + "call_id": "call_JvL9LSFOV8WELrsdOHPYhzON" + } + ], + "model": "gpt-5", + "tools": [ + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "target_file": { + "type": "string", + "description": "REDACTED" + }, + "should_read_entire_file": { + "type": "boolean", + "description": "REDACTED" + }, + "start_line_one_indexed": { + "type": "integer", + "description": "REDACTED" + }, + "end_line_one_indexed_inclusive": { + "type": "integer", + "description": "REDACTED" + }, + "explanation": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "target_file", + "should_read_entire_file" + ] + }, + "strict": false + }, + { + "type": "function", + "name": "REDACTED", + "description": "REDACTED", + "parameters": { + "type": "object", + "properties": { + "command": { + "type": "string", + "description": "REDACTED" + }, + "is_background": { + "type": "boolean", + "description": "REDACTED" + }, + "explanation": { + "type": "string", + "description": "REDACTED" + } + }, + "required": [ + "command", + "is_background" + ] + }, + "strict": false + }, + { + "type": "function", + "name": 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+ From 876f539ebb1d29fd34f3839cd26efb6681734dc4 Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 12:20:36 +0200 Subject: [PATCH 16/18] Remove facory-boy requirement --- requirements/dev.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/requirements/dev.txt b/requirements/dev.txt index 5f68334..ec76a5d 100644 --- a/requirements/dev.txt +++ b/requirements/dev.txt @@ -2,7 +2,6 @@ -r prod.txt # Testing -factory-boy==3.3.3 pytest==8.4.2 pytest-cov==7.0.0 WebTest==3.0.6 From 6e7a0b66f4fa2bdc3e75605b65f151c1fe70552c Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 12:27:02 +0200 Subject: [PATCH 17/18] Change how we run pytest, to increase coverage calculation --- app/commands.py | 6 ++---- tests/test_commnads.py | 22 ++++++++++++---------- 2 files changed, 14 insertions(+), 14 deletions(-) diff --git a/app/commands.py b/app/commands.py index 69a9d21..c6158fa 100644 --- a/app/commands.py +++ b/app/commands.py @@ -27,9 +27,7 @@ TEST_PATH = os.path.join(PROJECT_ROOT, "tests") ) def test(coverage, filter): """Run the tests.""" - import pytest - - args = [TEST_PATH, "--verbose"] + args = ["pytest", TEST_PATH, "--verbose"] if coverage: args.append("--cov=app") args.append("--cov-branch") @@ -38,7 +36,7 @@ def test(coverage, filter): args.append("--cov-report=term") if filter: args.extend(["-k", filter]) - rv = pytest.main(args=args) + rv = call(args) exit(rv) diff --git a/tests/test_commnads.py b/tests/test_commnads.py index 621d655..6908bce 100644 --- a/tests/test_commnads.py +++ b/tests/test_commnads.py @@ -6,14 +6,17 @@ import app.commands as commands def test_test_command_calls_pytest_with_coverage_and_exits(mocker): - """Invoke `test` command with defaults and ensure pytest args include coverage.""" - fake_main = mocker.patch("pytest.main", return_value=0) + """Invoke `test` command with defaults and ensure subprocess call args include coverage.""" + mock_call = mocker.patch("app.commands.call", return_value=0) runner = CliRunner() result = runner.invoke(commands.test) assert result.exit_code == 0 - expected = [ + mock_call.assert_called_once() + cmdline = mock_call.call_args[0][0] + assert cmdline == [ + "pytest", commands.TEST_PATH, "--verbose", "--cov=app", @@ -22,26 +25,25 @@ def test_test_command_calls_pytest_with_coverage_and_exits(mocker): "--cov-report=html", "--cov-report=term", ] - fake_main.assert_called_once() - assert fake_main.call_args.kwargs["args"] == expected def test_test_command_no_coverage_and_filter(mocker): - """Invoke `test` with no coverage and a filter; ensure pytest args are correct.""" - fake_main = mocker.patch("pytest.main", return_value=5) + """Invoke `test` with no coverage and a filter; ensure subprocess call args are correct.""" + mock_call = mocker.patch("app.commands.call", return_value=5) runner = CliRunner() result = runner.invoke(commands.test, ["-C", "-k", "unit and not e2e"]) assert result.exit_code == 5 - expected = [ + mock_call.assert_called_once() + cmdline = mock_call.call_args[0][0] + assert cmdline == [ + "pytest", commands.TEST_PATH, "--verbose", "-k", "unit and not e2e", ] - fake_main.assert_called_once() - assert fake_main.call_args.kwargs["args"] == expected def test_lint_command_invokes_tools_with_expected_order(mocker): From 0fbcd294a4f62202eb1ea24bb4747e4dbaa48d8f Mon Sep 17 00:00:00 2001 From: gabrii Date: Thu, 18 Sep 2025 12:56:52 +0200 Subject: [PATCH 18/18] Improve coverage of recording tests --- app/blueprint.py | 7 +++++- app/common/recording.py | 51 ++++++++++++++++++++++++----------------- tests/test_recording.py | 45 ++++++++++++++++++++++++++++++------ 3 files changed, 74 insertions(+), 29 deletions(-) diff --git a/app/blueprint.py b/app/blueprint.py index 89c58f6..d65ee7b 100644 --- a/app/blueprint.py +++ b/app/blueprint.py @@ -13,7 +13,11 @@ from rich.traceback import install as install_rich_traceback from .auth import require_auth from .azure.adapter import AzureAdapter from .common.logging import log_request -from .common.recording import increment_last_recording, record_payload +from .common.recording import ( + increment_last_recording, + init_last_recording, + record_payload, +) blueprint = Blueprint("blueprint", __name__) @@ -67,6 +71,7 @@ def catch_all(path: str): returns a 502 JSON error payload. """ log_request(request) + init_last_recording() increment_last_recording() record_payload(request.json, "downstream_request") adapter = AzureAdapter() diff --git a/app/common/recording.py b/app/common/recording.py index 3798cef..0cb6c4e 100644 --- a/app/common/recording.py +++ b/app/common/recording.py @@ -17,27 +17,7 @@ from flask import current_app, has_app_context RECORDINGS_DIR = os.path.join(os.path.dirname(__file__), "..", "..", "recordings") # Private, module-level counter tracking the latest recording index. -__LAST_RECORDING_INDEX = 0 - -# Initialize the counter based on existing subdirectories in the recordings -# directory so that subsequent runs continue incrementing from the maximum -# observed index. -try: - entries = os.listdir(RECORDINGS_DIR) -except FileNotFoundError: - # Create the recordings directory lazily when first used - os.makedirs(RECORDINGS_DIR, exist_ok=True) - entries = [] - -for entry in entries: - entry_path = os.path.join(RECORDINGS_DIR, entry) - try: - recording_index = int(entry) - if recording_index > __LAST_RECORDING_INDEX: - __LAST_RECORDING_INDEX = recording_index - except ValueError: - # Ignore unrelated folders that do not use a numeric name - pass +__LAST_RECORDING_INDEX = -1 def config_bypass(func): @@ -55,6 +35,35 @@ def config_bypass(func): return wrapper +@config_bypass +def init_last_recording() -> None: + """Initialize the recording index counter. + + Scans existing subdirectories in the recordings directory so that subsequent + runs continue incrementing from the maximum observed index. + """ + global __LAST_RECORDING_INDEX + if __LAST_RECORDING_INDEX != -1: + return + try: + entries = os.listdir(RECORDINGS_DIR) + except FileNotFoundError: + # Create the recordings directory lazily when first used + os.makedirs(RECORDINGS_DIR, exist_ok=True) + entries = [] + + for entry in entries: + try: + recording_index = int(entry) + if recording_index > __LAST_RECORDING_INDEX: + __LAST_RECORDING_INDEX = recording_index + except ValueError: + # Ignore unrelated folders that do not use a numeric name + pass + if __LAST_RECORDING_INDEX == -1: + __LAST_RECORDING_INDEX = 0 + + @config_bypass def increment_last_recording() -> None: """Advance the shared recording index for a new request lifecycle.""" diff --git a/tests/test_recording.py b/tests/test_recording.py index d75b9a5..a29ce61 100644 --- a/tests/test_recording.py +++ b/tests/test_recording.py @@ -11,21 +11,23 @@ from .replay_base import ReplyBase class TestRecording(ReplyBase): - """Test a single ping-pong interaction, no tool calls.""" + """Test different scenarios with traffic recording enabled.""" def modify_settings(self, app): """Enables traffic recording.""" app.config["RECORD_TRAFFIC"] = True - def test(self, testapp, requests_mock, monkeypatch, tmp_path): - """Test recording.""" + def test_multiple_requests(self, testapp, requests_mock, monkeypatch, tmp_path): + """Test two consecutive requests.""" monkeypatch.setattr(recording, "RECORDINGS_DIR", tmp_path) - monkeypatch.setattr(recording, "__LAST_RECORDING_INDEX", 0) + monkeypatch.setattr(recording, "__LAST_RECORDING_INDEX", -1) + super().test(testapp, requests_mock) + directories = os.listdir(tmp_path) - assert len(directories) == 1 + assert len(directories) == 1, "First directory created" + directory = directories[0] - assert directory.isdigit() assert directory == "1" assert os.path.exists( os.path.join(tmp_path, directory, "upstream_request.json") @@ -41,5 +43,34 @@ class TestRecording(ReplyBase): ) super().test(testapp, requests_mock) + directories = os.listdir(tmp_path) - assert len(directories) == 2 + assert len(directories) == 2, "Second directory created" + + def test_creates_folder(self, testapp, requests_mock, monkeypatch, tmp_path): + """Test recordings folder is created.""" + recordings_path = os.path.join(tmp_path, "recordings") + monkeypatch.setattr(recording, "RECORDINGS_DIR", recordings_path) + monkeypatch.setattr(recording, "__LAST_RECORDING_INDEX", -1) + + assert not os.path.exists(recordings_path) + + super().test(testapp, requests_mock) + + assert os.path.exists(recordings_path) + assert os.path.exists(os.path.join(recordings_path, "1")) + + def test_increments_index(self, testapp, requests_mock, monkeypatch, tmp_path): + """Test that the index for the next recording is incremented, and ignores unrelated folders.""" + monkeypatch.setattr(recording, "RECORDINGS_DIR", tmp_path) + monkeypatch.setattr(recording, "__LAST_RECORDING_INDEX", -1) + + # Last recording index 123 + os.makedirs(os.path.join(tmp_path, "123")) + + # Unrelated folder + os.makedirs(os.path.join(tmp_path, "foo")) + + super().test(testapp, requests_mock) + + assert os.path.exists(os.path.join(tmp_path, "124"))