trajectory_id stringlengths 18 68 | finish_reason stringclasses 1 value | image stringlengths 14 89 | messages stringlengths 11.4k 789k | reward float64 -1 1 | tools stringclasses 1 value | license stringclasses 9 values |
|---|---|---|---|---|---|---|
0b01001001__spectree-64_run1 | tool_calls | qingyangwu/sweb.eval.x86_64.0b01001001_1776_spectree-64 | [{"content": "You are OpenHands agent, a helpful AI assistant that can interact with a computer to solve tasks.\n\n<ROLE>\nYour primary role is to assist users by executing commands, modifying code, and solving technical problems effectively. You should be thorough, methodical, and prioritize quality over speed.\n* If the user asks a question, like \"why is X happening\", don't try to fix the problem. Just give an answer to the question.\n</ROLE>\n\n<EFFICIENCY>\n* Each action you take is somewhat expensive. Wherever possible, combine multiple actions into a single action, e.g. combine multiple bash commands into one, using sed and grep to edit/view multiple files at once.\n* When exploring the codebase, use efficient tools like find, grep, and git commands with appropriate filters to minimize unnecessary operations.\n</EFFICIENCY>\n\n<FILE_SYSTEM_GUIDELINES>\n* When a user provides a file path, do NOT assume it's relative to the current working directory. First explore the file system to locate the file before working on it.\n* If asked to edit a file, edit the file directly, rather than creating a new file with a different filename.\n* For global search-and-replace operations, consider using `sed` instead of opening file editors multiple times.\n</FILE_SYSTEM_GUIDELINES>\n\n<CODE_QUALITY>\n* Write clean, efficient code with minimal comments. Avoid redundancy in comments: Do not repeat information that can be easily inferred from the code itself.\n* When implementing solutions, focus on making the minimal changes needed to solve the problem.\n* Before implementing any changes, first thoroughly understand the codebase through exploration.\n* If you are adding a lot of code to a function or file, consider splitting the function or file into smaller pieces when appropriate.\n</CODE_QUALITY>\n\n<VERSION_CONTROL>\n* When configuring git credentials, use \"openhands\" as the user.name and \"openhands@all-hands.dev\" as the user.email by default, unless explicitly instructed otherwise.\n* Exercise caution with git operations. Do NOT make potentially dangerous changes (e.g., pushing to main, deleting repositories) unless explicitly asked to do so.\n* When committing changes, use `git status` to see all modified files, and stage all files necessary for the commit. Use `git commit -a` whenever possible.\n* Do NOT commit files that typically shouldn't go into version control (e.g., node_modules/, .env files, build directories, cache files, large binaries) unless explicitly instructed by the user.\n* If unsure about committing certain files, check for the presence of .gitignore files or ask the user for clarification.\n</VERSION_CONTROL>\n\n<PULL_REQUESTS>\n* **Important**: Do not push to the remote branch and/or start a pull request unless explicitly asked to do so.\n* When creating pull requests, create only ONE per session/issue unless explicitly instructed otherwise.\n* When working with an existing PR, update it with new commits rather than creating additional PRs for the same issue.\n* When updating a PR, preserve the original PR title and purpose, updating description only when necessary.\n</PULL_REQUESTS>\n\n<PROBLEM_SOLVING_WORKFLOW>\n1. EXPLORATION: Thoroughly explore relevant files and understand the context before proposing solutions\n2. ANALYSIS: Consider multiple approaches and select the most promising one\n3. TESTING:\n * For bug fixes: Create tests to verify issues before implementing fixes\n * For new features: Consider test-driven development when appropriate\n * If the repository lacks testing infrastructure and implementing tests would require extensive setup, consult with the user before investing time in building testing infrastructure\n * If the environment is not set up to run tests, consult with the user first before investing time to install all dependencies\n4. IMPLEMENTATION: Make focused, minimal changes to address the problem\n5. VERIFICATION: If the environment is set up to run tests, test your implementation thoroughly, including edge cases. If the environment is not set up to run tests, consult with the user first before investing time to run tests.\n</PROBLEM_SOLVING_WORKFLOW>\n\n<SECURITY>\n* Only use GITHUB_TOKEN and other credentials in ways the user has explicitly requested and would expect.\n* Use APIs to work with GitHub or other platforms, unless the user asks otherwise or your task requires browsing.\n</SECURITY>\n\n<ENVIRONMENT_SETUP>\n* When user asks you to run an application, don't stop if the application is not installed. Instead, please install the application and run the command again.\n* If you encounter missing dependencies:\n 1. First, look around in the repository for existing dependency files (requirements.txt, pyproject.toml, package.json, Gemfile, etc.)\n 2. If dependency files exist, use them to install all dependencies at once (e.g., `pip install -r requirements.txt`, `npm install`, etc.)\n 3. Only install individual packages directly if no dependency files are found or if only specific packages are needed\n* Similarly, if you encounter missing dependencies for essential tools requested by the user, install them when possible.\n</ENVIRONMENT_SETUP>\n\n<TROUBLESHOOTING>\n* If you've made repeated attempts to solve a problem but tests still fail or the user reports it's still broken:\n 1. Step back and reflect on 5-7 different possible sources of the problem\n 2. Assess the likelihood of each possible cause\n 3. Methodically address the most likely causes, starting with the highest probability\n 4. Document your reasoning process\n* When you run into any major issue while executing a plan from the user, please don't try to directly work around it. Instead, propose a new plan and confirm with the user before proceeding.\n</TROUBLESHOOTING>\n", "function_call": null, "name": null, "role": "system", "tool_call_id": null, "tool_calls": null}, {"content": "<uploaded_files>\n/testbed\n</uploaded_files>\n\nI've uploaded a python code repository in the directory /testbed. Consider the following issue description:\n\n<issue_description>\n[BUG]description for query paramters can not show in swagger ui\nHi, when I add a description for a schema used in query, it can not show in swagger ui but can show in Redoc\r\n```py\r\n@HELLO.route('/', methods=['GET'])\r\n@api.validate(query=HelloForm)\r\ndef hello():\r\n \"\"\"\r\n hello \u6ce8\u91ca\r\n :return:\r\n \"\"\"\r\n return 'ok'\r\n\r\nclass HelloForm(BaseModel):\r\n \"\"\"\r\n hello\u8868\u5355\r\n \"\"\"\r\n user: str # \u7528\u6237\u540d\u79f0\r\n msg: str = Field(description='msg test', example='aa')\r\n index: int\r\n data: HelloGetListForm\r\n list: List[HelloListForm]\r\n```\r\n\r\n\r\n\r\n\r\n\r\n\n</issue_description>\n\nCan you help me implement the necessary changes to the repository so that the requirements specified in the <issue_description> are met?\nI've already taken care of all changes to any of the test files described in the <issue_description>. This means you DON'T have to modify the testing logic or any of the tests in any way!\nAlso the development Python environment is already set up for you (i.e., all dependencies already installed), so you don't need to install other packages.\nYour task is to make the minimal changes to non-test files in the /testbed directory to ensure the <issue_description> is satisfied.\n\nFollow these phases to resolve the issue:\n\nPhase 1. READING: read the problem and reword it in clearer terms\n 1.1 If there are code or config snippets. Express in words any best practices or conventions in them.\n 1.2 Hightlight message errors, method names, variables, file names, stack traces, and technical details.\n 1.3 Explain the problem in clear terms.\n 1.4 Enumerate the steps to reproduce the problem.\n 1.5 Hightlight any best practices to take into account when testing and fixing the issue\n\nPhase 2. RUNNING: install and run the tests on the repository\n 2.1 Follow the readme\n 2.2 Install the environment and anything needed\n 2.2 Iterate and figure out how to run the tests\n\nPhase 3. EXPLORATION: find the files that are related to the problem and possible solutions\n 3.1 Use `grep` to search for relevant methods, classes, keywords and error messages.\n 3.2 Identify all files related to the problem statement.\n 3.3 Propose the methods and files to fix the issue and explain why.\n 3.4 From the possible file locations, select the most likely location to fix the issue.\n\nPhase 4. TEST CREATION: before implementing any fix, create a script to reproduce and verify the issue.\n 4.1 Look at existing test files in the repository to understand the test format/structure.\n 4.2 Create a minimal reproduction script that reproduces the located issue.\n 4.3 Run the reproduction script to confirm you are reproducing the issue.\n 4.4 Adjust the reproduction script as necessary.\n\nPhase 5. FIX ANALYSIS: state clearly the problem and how to fix it\n 5.1 State clearly what the problem is.\n 5.2 State clearly where the problem is located.\n 5.3 State clearly how the test reproduces the issue.\n 5.4 State clearly the best practices to take into account in the fix.\n 5.5 State clearly how to fix the problem.\n\nPhase 6. FIX IMPLEMENTATION: Edit the source code to implement your chosen solution.\n 6.1 Make minimal, focused changes to fix the issue.\n\nPhase 7. VERIFICATION: Test your implementation thoroughly.\n 7.1 Run your reproduction script to verify the fix works.\n 7.2 Add edge cases to your test script to ensure comprehensive coverage.\n 7.3 Run existing tests related to the modified code to ensure you haven't broken anything.\n\n\n8. FINAL REVIEW: Carefully re-read the problem description and verify your changes address all requirements.\n\n 8.1 Ensure you've fully addressed all requirements.\n 8.2 Run any tests in the repository related to:\n 8.2.1 The issue you are fixing\n 8.2.2 The files you modified\n 8.2.3 The functions you changed\n 8.3 If any tests fail, revise your implementation until all tests pass\n\nBe thorough in your exploration, testing, and reasoning. It's fine if your thinking process is lengthy - quality and completeness are more important than brevity.", "function_call": null, "name": null, "role": "user", "tool_call_id": null, "tool_calls": null}, {"content": "I'll help you implement the necessary changes to fix the issue with query parameter descriptions not showing in Swagger UI. Let me start by following the phases you outlined.\n\n## Phase 1. READING: Understanding the Problem\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"thought": "Let me analyze the issue description:\n\n1. The problem is that when adding descriptions for schema fields used in query parameters, these descriptions show up in Redoc but NOT in Swagger UI.\n\n2. Looking at the code snippet:\n - There's a route defined with `@HELLO.route('/', methods=['GET'])`\n - It uses `@api.validate(query=HelloForm)` for query parameter validation\n - The `HelloForm` class has fields with descriptions:\n - `msg: str = Field(description='msg test', example='aa')` - This field has a description\n - `user: str # \u7528\u6237\u540d\u79f0` - This is a comment, not a Field description\n - The images show that Redoc displays the descriptions but Swagger UI does not\n\n3. Key technical details:\n - Uses Pydantic BaseModel for schema definition\n - Uses Field() from Pydantic to add descriptions\n - The issue is specific to Swagger UI rendering, not the API functionality itself\n - This suggests the problem is in the OpenAPI/Swagger schema generation, not in the validation\n\n4. Steps to reproduce:\n - Create a Pydantic model with Field descriptions\n - Use it as a query parameter schema in a route\n - View the API documentation in both Swagger UI and Redoc\n - Observe that descriptions appear in Redoc but not Swagger UI\n\n5. Best practices for fixing:\n - Need to ensure OpenAPI schema generation properly includes field descriptions for query parameters\n - Should maintain compatibility with existing functionality\n - Should test both Swagger UI and Redoc to ensure the fix works for both"}, "name": "think"}, "id": "call_56a6b61abf44476ba7e0e8b7", "index": null, "type": "function"}]}, {"content": "Your thought has been logged.", "function_call": null, "name": "think", "role": "tool", "tool_call_id": "call_56a6b61abf44476ba7e0e8b7", "tool_calls": null}, {"content": "### 1.1 Code Analysis\nThe code snippet shows:\n- A Flask route with query parameter validation using a Pydantic `HelloForm` model\n- The model uses Pydantic's `Field()` function to add descriptions and examples\n- Standard Python docstring comments for additional documentation\n\n### 1.2 Technical Details\n- **Method names**: `@HELLO.route()`, `@api.validate()`\n- **Classes**: `HelloForm(BaseModel)`, `HelloGetListForm`, `HelloListForm`\n- **Field definitions**: `msg: str = Field(description='msg test', example='aa')`\n- **Tools**: Swagger UI (not showing descriptions), Redoc (showing descriptions)\n\n### 1.3 Problem Explanation\nThe issue is that when Pydantic model field descriptions are used for query parameters, these descriptions are properly rendered in Redoc documentation but are missing from Swagger UI. This suggests a problem in how the OpenAPI schema is generated for query parameters specifically.\n\n### 1.4 Steps to Reproduce\n1. Create a Pydantic BaseModel with Field descriptions\n2. Use this model as a query parameter schema in an API route\n3. Generate API documentation\n4. Compare Swagger UI vs Redoc rendering - descriptions will be missing in Swagger UI\n\n### 1.5 Best Practices\n- Ensure OpenAPI schema compliance\n- Maintain backward compatibility\n- Test both documentation viewers\n- Focus on minimal changes to fix the specific issue\n\n## Phase 2. RUNNING: Setting up and Running Tests\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "view", "path": "/testbed"}, "name": "str_replace_editor"}, "id": "call_fee6f7565248420aaf8f0876", "index": null, "type": "function"}]}, {"content": "Here's the files and directories up to 2 levels deep in /testbed, excluding hidden items:\n/testbed/\n/testbed/LICENSE\n/testbed/Makefile\n/testbed/README.md\n/testbed/docs/\n/testbed/docs/Makefile\n/testbed/docs/make.bat\n/testbed/docs/source/\n/testbed/examples/\n/testbed/examples/falcon_demo.py\n/testbed/examples/flask_demo.py\n/testbed/examples/starlette_demo.py\n/testbed/requirements.txt\n/testbed/setup.cfg\n/testbed/setup.py\n/testbed/spectree/\n/testbed/spectree.egg-info/\n/testbed/spectree.egg-info/PKG-INFO\n/testbed/spectree.egg-info/SOURCES.txt\n/testbed/spectree.egg-info/dependency_links.txt\n/testbed/spectree.egg-info/not-zip-safe\n/testbed/spectree.egg-info/requires.txt\n/testbed/spectree.egg-info/top_level.txt\n/testbed/spectree/__init__.py\n/testbed/spectree/config.py\n/testbed/spectree/plugins/\n/testbed/spectree/response.py\n/testbed/spectree/spec.py\n/testbed/spectree/utils.py\n/testbed/tests/\n/testbed/tests/__init__.py\n/testbed/tests/common.py\n/testbed/tests/test_config.py\n/testbed/tests/test_plugin.py\n/testbed/tests/test_plugin_falcon.py\n/testbed/tests/test_plugin_flask.py\n/testbed/tests/test_plugin_flask_blueprint.py\n/testbed/tests/test_plugin_starlette.py\n/testbed/tests/test_response.py\n/testbed/tests/test_spec.py\n/testbed/tests/test_utils.py\n\n3 hidden files/directories in this directory are excluded. You can use 'ls -la /testbed' to see them.", "function_call": null, "name": "str_replace_editor", "role": "tool", "tool_call_id": "call_fee6f7565248420aaf8f0876", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"path": "/testbed/README.md", "command": "view"}, "name": "str_replace_editor"}, "id": "call_f3f947918e0f43c09bd51c56", "index": null, "type": "function"}]}, {"content": "Here's the result of running `cat -n` on /testbed/README.md:\n 1\t# Spectree\n 2\t\n 3\t\n 4\t[](https://github.com/0b01001001/spectree/actions)\n 5\t[](https://pypi.python.org/pypi/spectree)\n 6\t[](https://github.com/0b01001001/spectree)\n 7\t[](https://lgtm.com/projects/g/0b01001001/spectree/context:python)\n 8\t[](https://spectree.readthedocs.io/en/latest/?badge=latest)\n 9\t\n 10\tYet another library to generate OpenAPI document and validate request & response with Python annotations.\n 11\t\n 12\t## Features\n 13\t\n 14\t* Less boilerplate code, only annotations, no need for YAML :sparkles:\n 15\t* Generate API document with [Redoc UI](https://github.com/Redocly/redoc) or [Swagger UI](https://github.com/swagger-api/swagger-ui) :yum:\n 16\t* Validate query, JSON data, response data with [pydantic](https://github.com/samuelcolvin/pydantic/) :wink:\n 17\t* Current support:\n 18\t * Flask [demo](#flask)\n 19\t * Falcon [demo](#falcon)\n 20\t * Starlette [demo](#starlette)\n 21\t\n 22\t## Quick Start\n 23\t\n 24\tinstall with pip: `pip install spectree`\n 25\t\n 26\t### Examples\n 27\t\n 28\tCheck the [examples](/examples) folder.\n 29\t\n 30\t* [flask example](/examples/flask_demo.py)\n 31\t* [falcon example with logging when validation failed](/examples/falcon_demo.py)\n 32\t* [starlette example](examples/starlette_demo.py)\n 33\t\n 34\t### Step by Step\n 35\t\n 36\t1. Define your data structure used in (query, json, headers, cookies, resp) with `pydantic.BaseModel`\n 37\t2. create `spectree.SpecTree` instance with the web framework name you are using, like `api = SpecTree('flask')`\n 38\t3. `api.validate` decorate the route with\n 39\t * `query`\n 40\t * `json`\n 41\t * `headers`\n 42\t * `cookies`\n 43\t * `resp`\n 44\t * `tags`\n 45\t4. access these data with `context(query, json, headers, cookies)` (of course, you can access these from the original place where the framework offered)\n 46\t * flask: `request.context`\n 47\t * falcon: `req.context`\n 48\t * starlette: `request.context`\n 49\t5. register to the web application `api.register(app)`\n 50\t6. check the document at URL location `/apidoc/redoc` or `/apidoc/swagger`\n 51\t\n 52\tIf the request doesn't pass the validation, it will return a 422 with JSON error message(ctx, loc, msg, type).\n 53\t\n 54\t## How To\n 55\t\n 56\t> How to add summary and description to endpoints?\n 57\t\n 58\tJust add docs to the endpoint function. The 1st line is the summary, and the rest is the description for this endpoint.\n 59\t\n 60\t> How to add description to parameters?\n 61\t\n 62\tCheck the [pydantic](https://pydantic-docs.helpmanual.io/usage/schema/) document about description in `Field`.\n 63\t\n 64\t> Any config I can change?\n 65\t\n 66\tOf course. Check the [config](https://spectree.readthedocs.io/en/latest/config.html) document.\n 67\t\n 68\tYou can update the config when init the spectree like: \n 69\t\n 70\t```py\n 71\tSpecTree('flask', title='Demo API', version='v1.0', path='doc')\n 72\t```\n 73\t\n 74\t> What is `Response` and how to use it?\n 75\t\n 76\tTo build a response for the endpoint, you need to declare the status code with format `HTTP_{code}` and corresponding data (optional).\n 77\t\n 78\t```py\n 79\tResponse(HTTP_200=None, HTTP_403=ForbidModel)\n 80\tResponse('HTTP_200') # equals to Response(HTTP_200=None)\n 81\t```\n 82\t\n 83\t> What should I return when I'm using the library?\n 84\t\n 85\tNo need to change anything. Just return what the framework required.\n 86\t\n 87\t> How to logging when the validation failed?\n 88\t\n 89\tValidation errors are logged with INFO level. Details are passed into `extra`. Check the [falcon example](examples/falcon_demo.py) for details.\n 90\t\n 91\t> How can I write a customized plugin for another backend framework?\n 92\t\n 93\tInherit `spectree.plugins.base.BasePlugin` and implement the functions you need. After that, init like `api = SpecTree(backend=MyCustomizedPlugin)`.\n 94\t\n 95\t> How can I change the response when there is a validation error? Can I record some metrics?\n 96\t\n 97\tThis library provides `before` and `after` hooks to do these. Check the [doc](https://spectree.readthedocs.io/en/latest) or the [test case](tests/test_plugin_flask.py). You can change the handlers for SpecTree or for a specific endpoint validation.\n 98\t\n 99\t## Demo\n 100\t\n 101\tTry it with `http post :8000/api/user name=alice age=18`. (if you are using `httpie`)\n 102\t\n 103\t### Flask\n 104\t\n 105\t```py\n 106\tfrom flask import Flask, request, jsonify\n 107\tfrom pydantic import BaseModel, Field, constr\n 108\tfrom spectree import SpecTree, Response\n 109\t\n 110\t\n 111\tclass Profile(BaseModel):\n 112\t name: constr(min_length=2, max_length=40) # Constrained Str\n 113\t age: int = Field(\n 114\t ...,\n 115\t gt=0,\n 116\t lt=150,\n 117\t description='user age(Human)'\n 118\t )\n 119\t\n 120\t class Config:\n 121\t schema_extra = {\n 122\t # provide an example\n 123\t 'example': {\n 124\t 'name': 'very_important_user',\n 125\t 'age': 42,\n 126\t }\n 127\t }\n 128\t\n 129\t\n 130\tclass Message(BaseModel):\n 131\t text: str\n 132\t\n 133\t\n 134\tapp = Flask(__name__)\n 135\tapi = SpecTree('flask')\n 136\t\n 137\t\n 138\t@app.route('/api/user', methods=['POST'])\n 139\t@api.validate(json=Profile, resp=Response(HTTP_200=Message, HTTP_403=None), tags=['api'])\n 140\tdef user_profile():\n 141\t \"\"\"\n 142\t verify user profile (summary of this endpoint)\n 143\t\n 144\t user's name, user's age, ... (long description)\n 145\t \"\"\"\n 146\t print(request.context.json) # or `request.json`\n 147\t return jsonify(text='it works')\n 148\t\n 149\t\n 150\tif __name__ == \"__main__\":\n 151\t api.register(app) # if you don't register in api init step\n 152\t app.run(port=8000)\n 153\t\n 154\t```\n 155\t\n 156\t### Falcon\n 157\t\n 158\t```py\n 159\timport falcon\n 160\tfrom wsgiref import simple_server\n 161\tfrom pydantic import BaseModel, Field, constr\n 162\tfrom spectree import SpecTree, Response\n 163\t\n 164\t\n 165\tclass Profile(BaseModel):\n 166\t name: constr(min_length=2, max_length=40) # Constrained Str\n 167\t age: int = Field(\n 168\t ...,\n 169\t gt=0,\n 170\t lt=150,\n 171\t description='user age(Human)'\n 172\t )\n 173\t\n 174\t\n 175\tclass Message(BaseModel):\n 176\t text: str\n 177\t\n 178\t\n 179\tapi = SpecTree('falcon')\n 180\t\n 181\t\n 182\tclass UserProfile:\n 183\t @api.validate(json=Profile, resp=Response(HTTP_200=Message, HTTP_403=None), tags=['api'])\n 184\t def on_post(self, req, resp):\n 185\t \"\"\"\n 186\t verify user profile (summary of this endpoint)\n 187\t\n 188\t user's name, user's age, ... (long description)\n 189\t \"\"\"\n 190\t print(req.context.json) # or `req.media`\n 191\t resp.media = {'text': 'it works'}\n 192\t\n 193\t\n 194\tif __name__ == \"__main__\":\n 195\t app = falcon.API()\n 196\t app.add_route('/api/user', UserProfile())\n 197\t api.register(app)\n 198\t\n 199\t httpd = simple_server.make_server('localhost', 8000, app)\n 200\t httpd.serve_forever()\n 201\t\n 202\t```\n 203\t\n 204\t### Starlette\n 205\t\n 206\t```py\n 207\timport uvicorn\n 208\tfrom starlette.applications import Starlette\n 209\tfrom starlette.routing import Route, Mount\n 210\tfrom starlette.responses import JSONResponse\n 211\tfrom pydantic import BaseModel, Field, constr\n 212\tfrom spectree import SpecTree, Response\n 213\t\n 214\t\n 215\tclass Profile(BaseModel):\n 216\t name: constr(min_length=2, max_length=40) # Constrained Str\n 217\t age: int = Field(\n 218\t ...,\n 219\t gt=0,\n 220\t lt=150,\n 221\t description='user age(Human)'\n 222\t )\n 223\t\n 224\t\n 225\tclass Message(BaseModel):\n 226\t text: str\n 227\t\n 228\t\n 229\tapi = SpecTree('starlette')\n 230\t\n 231\t\n 232\t@api.validate(json=Profile, resp=Response(HTTP_200=Message, HTTP_403=None), tags=['api'])\n 233\tasync def user_profile(request):\n 234\t \"\"\"\n 235\t verify user profile (summary of this endpoint)\n 236\t\n 237\t user's name, user's age, ... (long description)\n 238\t \"\"\"\n 239\t print(request.context.json) # or await request.json()\n 240\t return JSONResponse({'text': 'it works'})\n 241\t\n 242\t\n 243\tif __name__ == \"__main__\":\n 244\t app = Starlette(routes=[\n 245\t Mount('api', routes=[\n 246\t Route('/user', user_profile, methods=['POST']),\n 247\t ])\n 248\t ])\n 249\t api.register(app)\n 250\t\n 251\t uvicorn.run(app)\n 252\t\n 253\t```\n 254\t\n 255\t## FAQ\n 256\t\n 257\t> ValidationError: missing field for headers\n 258\t\n 259\tThe HTTP headers' keys in Flask are capitalized, in Falcon are upper cases, in Starlette are lower cases.\n 260\tYou can use [`pydantic.root_validators(pre=True)`](https://pydantic-docs.helpmanual.io/usage/validators/#root-validators) to change all the keys into lower cases or upper cases.\n 261\t\n 262\t> ValidationError: value is not a valid list for query\n 263\t\n 264\tSince there is no standard for HTTP query with multiple values, it's hard to find the way to handle this for different web frameworks. So I suggest not to use list type in query until I find a suitable way to fix it.\n 265\t\n", "function_call": null, "name": "str_replace_editor", "role": "tool", "tool_call_id": "call_f3f947918e0f43c09bd51c56", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "cd /testbed && python -m pytest --version"}, "name": "execute_bash"}, "id": "call_4a9436bc13314b4485a89658", "index": null, "type": "function"}]}, {"content": "pytest 8.3.4\n[The command completed with exit code 0.]\n[Current working directory: /testbed]\n[Python interpreter: /opt/conda/envs/testbed/bin/python]\n[Command finished with exit code 0]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_4a9436bc13314b4485a89658", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "cd /testbed && python -m pytest tests/ -v"}, "name": "execute_bash"}, "id": "call_5c6f177df7b845588ff38e58", "index": null, "type": "function"}]}, {"content": "/opt/conda/envs/testbed/lib/python3.9/site-packages/pytest_asyncio/plugin.py:207: PytestDeprecationWarning: The configuration option \"asyncio_default_fixture_loop_scope\" is unset.\nThe event loop scope for asynchronous fixtures will default to the fixture caching scope. Future versions of pytest-asyncio will default the loop scope for asynchronous fixtures to function scope. Set the default fixture loop scope explicitly in order to avoid unexpected behavior in the future. Valid fixture loop scopes are: \"function\", \"class\", \"module\", \"package\", \"session\"\n\n warnings.warn(PytestDeprecationWarning(_DEFAULT_FIXTURE_LOOP_SCOPE_UNSET))\n========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= test session starts ==========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\nplatform linux -- Python 3.9.21, pytest-8.3.4, pluggy-1.5.0 -- /opt/conda/envs/testbed/bin/python\ncachedir: .pytest_cache\nhypothesis profile 'default' -> database=DirectoryBasedExampleDatabase(PosixPath('/testbed/.hypothesis/examples'))\nbenchmark: 5.1.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nUsing --randomly-seed=14944321\nrootdir: /testbed\nplugins: hypothesis-6.123.1, asyncio-0.25.0, bdd-8.1.0, benchmark-5.1.0, cov-6.0.0, mock-3.14.0, randomly-3.16.0, xdist-3.6.1, requests-mock-1.12.1, anyio-4.10.0\nasyncio: mode=strict, asyncio_default_fixture_loop_scope=None\ncollected 29 items / 2 errors\n\n================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================ ERRORS ================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\n________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ERROR collecting tests/test_plugin.py _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________\n/opt/conda/envs/testbed/lib/python3.9/site-packages/starlette/testclient.py:44: in <module>\n import httpx\nE ModuleNotFoundError: No module named 'httpx'\n\nDuring handling of the above exception, another exception occurred:\ntests/test_plugin.py:6: in <module>\n from .test_plugin_starlette import api as starlette_api\n<frozen importlib._bootstrap>:1007: in _find_and_load\n ???\n<frozen importlib._bootstrap>:986: in _find_and_load_unlocked\n ???\n<frozen importlib._bootstrap>:680: in _load_unlocked\n ???\n/opt/conda/envs/testbed/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:184: in exec_module\n exec(co, module.__dict__)\ntests/test_plugin_starlette.py:7: in <module>\n from starlette.testclient import TestClient\n/opt/conda/envs/testbed/lib/python3.9/site-packages/starlette/testclient.py:46: in <module>\n raise RuntimeError(\nE RuntimeError: The starlette.testclient module requires the httpx package to be installed.\nE You can install this with:\nE $ pip install httpx\n___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ERROR collecting tests/test_plugin_starlette.py ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________\n/opt/conda/envs/testbed/lib/python3.9/site-packages/starlette/testclient.py:44: in <module>\n import httpx\nE ModuleNotFoundError: No module named 'httpx'\n\nDuring handling of the above exception, another exception occurred:\ntests/test_plugin_starlette.py:7: in <module>\n from starlette.testclient import TestClient\n/opt/conda/envs/testbed/lib/python3.9/site-packages/starlette/testclient.py:46: in <module>\n raise RuntimeError(\nE RuntimeError: The starlette.testclient module requires the httpx package to be installed.\nE You can install this with:\nE $ pip install httpx\n=========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== warnings summary ===========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\ntests/common.py:34\n /testbed/tests/common.py:34: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.10/migration/\n @root_validator(pre=True)\n\nspectree/spec.py:128: 14 warnings\n /testbed/spectree/spec.py:128: PydanticDeprecatedSince20: The `schema` method is deprecated; use `model_json_schema` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.10/migration/\n self.models[model.__name__] = model.schema()\n\nspectree/spec.py:133\nspectree/spec.py:133\nspectree/spec.py:133\nspectree/spec.py:133\n /testbed/spectree/spec.py:133: PydanticDeprecatedSince20: The `schema` method is deprecated; use `model_json_schema` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.10/migration/\n self.models[model.__name__] = model.schema()\n\ntests/test_plugin_falcon.py:60\n /testbed/tests/test_plugin_falcon.py:60: DeprecatedWarning: Call to deprecated function __init__(...). The API class will be removed in Falcon 5.0, use falcon.App instead.\n app = falcon.API()\n\ntests/test_spec.py:16\n /testbed/tests/test_spec.py:16: DeprecatedWarning: Call to deprecated function __init__(...). The API class will be removed in Falcon 5.0, use falcon.App instead.\n ('falcon', falcon.API()),\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n======================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= short test summary info ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\nERROR tests/test_plugin.py - RuntimeError: The starlette.testclient module requires the httpx package to be installed.\nERROR tests/test_plugin_starlette.py - RuntimeError: The starlette.testclient module requires the httpx package to be installed.\n!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Interrupted: 2 errors during collection !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n==================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== 21 warnings, 2 errors in 0.70s ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\n[The command completed with exit code 2.]\n[Current working directory: /testbed]\n[Python interpreter: /opt/conda/envs/testbed/bin/python]\n[Command finished with exit code 2]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_5c6f177df7b845588ff38e58", "tool_calls": null}, {"content": "Let me install the missing dependencies and run a subset of tests:\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "cd /testbed && pip install httpx"}, "name": "execute_bash"}, "id": "call_2b2179489a1c485eafa588e8", "index": null, "type": "function"}]}, {"content": "Collecting httpx\n Downloading httpx-0.28.1-py3-none-any.whl.metadata (7.1 kB)\nRequirement already satisfied: anyio in /opt/conda/envs/testbed/lib/python3.9/site-packages (from httpx) (4.10.0)\nRequirement already satisfied: certifi in /opt/conda/envs/testbed/lib/python3.9/site-packages (from httpx) (2024.12.14)\nCollecting httpcore==1.* (from httpx)\n Downloading httpcore-1.0.9-py3-none-any.whl.metadata (21 kB)\nRequirement already satisfied: idna in /opt/conda/envs/testbed/lib/python3.9/site-packages (from httpx) (3.10)\nCollecting h11>=0.16 (from httpcore==1.*->httpx)\n Downloading h11-0.16.0-py3-none-any.whl.metadata (8.3 kB)\nRequirement already satisfied: exceptiongroup>=1.0.2 in /opt/conda/envs/testbed/lib/python3.9/site-packages (from anyio->httpx) (1.2.2)\nRequirement already satisfied: sniffio>=1.1 in /opt/conda/envs/testbed/lib/python3.9/site-packages (from anyio->httpx) (1.3.1)\nRequirement already satisfied: typing_extensions>=4.5 in /opt/conda/envs/testbed/lib/python3.9/site-packages (from anyio->httpx) (4.12.2)\nDownloading httpx-0.28.1-py3-none-any.whl (73 kB)\nDownloading httpcore-1.0.9-py3-none-any.whl (78 kB)\nDownloading h11-0.16.0-py3-none-any.whl (37 kB)\nInstalling collected packages: h11, httpcore, httpx\nSuccessfully installed h11-0.16.0 httpcore-1.0.9 httpx-0.28.1\nWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable.It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\n[The command completed with exit code 0.]\n[Current working directory: /testbed]\n[Python interpreter: /opt/conda/envs/testbed/bin/python]\n[Command finished with exit code 0]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_2b2179489a1c485eafa588e8", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "cd /testbed && python -m pytest tests/test_plugin_flask.py -v"}, "name": "execute_bash"}, "id": "call_e9b3a43969e2404e990bd53e", "index": null, "type": "function"}]}, {"content": "/opt/conda/envs/testbed/lib/python3.9/site-packages/pytest_asyncio/plugin.py:207: PytestDeprecationWarning: The configuration option \"asyncio_default_fixture_loop_scope\" is unset.\nThe event loop scope for asynchronous fixtures will default to the fixture caching scope. Future versions of pytest-asyncio will default the loop scope for asynchronous fixtures to function scope. Set the default fixture loop scope explicitly in order to avoid unexpected behavior in the future. Valid fixture loop scopes are: \"function\", \"class\", \"module\", \"package\", \"session\"\n\n warnings.warn(PytestDeprecationWarning(_DEFAULT_FIXTURE_LOOP_SCOPE_UNSET))\n========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= test session starts ==========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\nplatform linux -- Python 3.9.21, pytest-8.3.4, pluggy-1.5.0 -- /opt/conda/envs/testbed/bin/python\ncachedir: .pytest_cache\nhypothesis profile 'default' -> database=DirectoryBasedExampleDatabase(PosixPath('/testbed/.hypothesis/examples'))\nbenchmark: 5.1.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nUsing --randomly-seed=3104906744\nrootdir: /testbed\nplugins: hypothesis-6.123.1, asyncio-0.25.0, bdd-8.1.0, benchmark-5.1.0, cov-6.0.0, mock-3.14.0, randomly-3.16.0, xdist-3.6.1, requests-mock-1.12.1, anyio-4.10.0\nasyncio: mode=strict, asyncio_default_fixture_loop_scope=None\ncollected 2 items\n\ntests/test_plugin_flask.py::test_flask_doc FAILED [ 50%]\ntests/test_plugin_flask.py::test_flask_validate FAILED [100%]\n\n=============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== FAILURES ===============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\n____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ test_flask_doc ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________\n\nclient = <FlaskClient <Flask 'tests.test_plugin_flask'>>\n\n def test_flask_doc(client):\n resp = client.get('/apidoc/openapi.json')\n> assert resp.json == api.spec\n\ntests/test_plugin_flask.py:97:\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\nspectree/spec.py:60: in spec\n self._spec = self._generate_spec()\nspectree/spec.py:151: in _generate_spec\n path, parameters = self.backend.parse_path(route)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\n\nself = <spectree.plugins.flask_plugin.FlaskPlugin object at 0x7fac9f5a0a30>, route = <Rule '/ping' (HEAD, OPTIONS, GET) -> ping>\n\n def parse_path(self, route):\n> from werkzeug.routing import parse_rule, parse_converter_args\nE ImportError: cannot import name 'parse_rule' from 'werkzeug.routing' (/opt/conda/envs/testbed/lib/python3.9/site-packages/werkzeug/routing/__init__.py)\n\nspectree/plugins/flask_plugin.py:45: ImportError\n---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Captured log call -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\nERROR tests.test_plugin_flask:app.py:875 Exception on /apidoc/openapi.json [GET]\nTraceback (most recent call last):\n File \"/opt/conda/envs/testbed/lib/python3.9/site-packages/flask/app.py\", line 1511, in wsgi_app\n response = self.full_dispatch_request()\n File \"/opt/conda/envs/testbed/lib/python3.9/site-packages/flask/app.py\", line 919, in full_dispatch_request\n rv = self.handle_user_exception(e)\n File \"/opt/conda/envs/testbed/lib/python3.9/site-packages/flask/app.py\", line 917, in full_dispatch_request\n rv = self.dispatch_request()\n File \"/opt/conda/envs/testbed/lib/python3.9/site-packages/flask/app.py\", line 902, in dispatch_request\n return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return]\n File \"/testbed/spectree/plugins/flask_plugin.py\", line 167, in <lambda>\n lambda: jsonify(self.spectree.spec),\n File \"/testbed/spectree/spec.py\", line 60, in spec\n self._spec = self._generate_spec()\n File \"/testbed/spectree/spec.py\", line 151, in _generate_spec\n path, parameters = self.backend.parse_path(route)\n File \"/testbed/spectree/plugins/flask_plugin.py\", line 45, in parse_path\n from werkzeug.routing import parse_rule, parse_converter_args\nImportError: cannot import name 'parse_rule' from 'werkzeug.routing' (/opt/conda/envs/testbed/lib/python3.9/site-packages/werkzeug/routing/__init__.py)\n_________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ test_flask_validate __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________\n\nclient = <FlaskClient <Flask 'tests.test_plugin_flask'>>\n\n def test_flask_validate(client):\n resp = client.get('/ping')\n> assert resp.status_code == 422\nE assert 415 == 422\nE + where 415 = <WrapperTestResponse streamed [415 UNSUPPORTED MEDIA TYPE]>.status_code\n\ntests/test_plugin_flask.py:63: AssertionError\n=========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== warnings summary ===========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\ntests/common.py:34\n /testbed/tests/common.py:34: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.10/migration/\n @root_validator(pre=True)\n\nspectree/spec.py:128\nspectree/spec.py:128\nspectree/spec.py:128\nspectree/spec.py:128\n /testbed/spectree/spec.py:128: PydanticDeprecatedSince20: The `schema` method is deprecated; use `model_json_schema` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.10/migration/\n self.models[model.__name__] = model.schema()\n\nspectree/spec.py:133\n /testbed/spectree/spec.py:133: PydanticDeprecatedSince20: The `schema` method is deprecated; use `model_json_schema` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.10/migration/\n self.models[model.__name__] = model.schema()\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n======================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= short test summary info ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\nFAILED tests/test_plugin_flask.py::test_flask_doc - ImportError: cannot import name 'parse_rule' from 'werkzeug.routing' (/opt/conda/envs/testbed/lib/python3.9/site-packages/werkzeug/routing/__init__.py)\nFAILED tests/test_plugin_flask.py::test_flask_validate - assert 415 == 422\n==================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== 2 failed, 6 warnings in 0.53s =====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\n[The command completed with exit code 1.]\n[Current working directory: /testbed]\n[Python interpreter: /opt/conda/envs/testbed/bin/python]\n[Command finished with exit code 1]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_e9b3a43969e2404e990bd53e", "tool_calls": null}, {"content": "There are some compatibility issues with the current environment. Let's look at the core files to understand the structure and then proceed with our exploration.\n\n## Phase 3. EXPLORATION: Finding Related Files\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"path": "/testbed/spectree", "command": "view"}, "name": "str_replace_editor"}, "id": "call_e725f7f703a049e29615081c", "index": null, "type": "function"}]}, {"content": "Here's the files and directories up to 2 levels deep in /testbed/spectree, excluding hidden items:\n/testbed/spectree/\n/testbed/spectree/__init__.py\n/testbed/spectree/config.py\n/testbed/spectree/plugins/\n/testbed/spectree/plugins/__init__.py\n/testbed/spectree/plugins/base.py\n/testbed/spectree/plugins/falcon_plugin.py\n/testbed/spectree/plugins/flask_plugin.py\n/testbed/spectree/plugins/page.py\n/testbed/spectree/plugins/starlette_plugin.py\n/testbed/spectree/response.py\n/testbed/spectree/spec.py\n/testbed/spectree/utils.py", "function_call": null, "name": "str_replace_editor", "role": "tool", "tool_call_id": "call_e725f7f703a049e29615081c", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "cd /testbed && find . -name \"*.py\" -exec grep -l \"description\\|swagger\\|query\" {} \\;"}, "name": "execute_bash"}, "id": "call_337c9da4037a45d7a4035233", "index": null, "type": "function"}]}, {"content": "cd /testbed && find . -name \"*.py\" -exec grep -l \"description\\|swagger\\|query\" {} \\;\n./examples/falcon_demo.py\n./examples/flask_demo.py\n./examples/starlette_demo.py\n./setup.py\n./spectree/config.py\n./spectree/plugins/base.py\n./spectree/plugins/falcon_plugin.py\n./spectree/plugins/flask_plugin.py\n./spectree/plugins/page.py\n./spectree/plugins/starlette_plugin.py\n./spectree/response.py\n./spectree/spec.py\n./spectree/utils.py\n./tests/common.py\n./tests/test_config.py\n./tests/test_plugin.py\n./tests/test_plugin_falcon.py\n./tests/test_plugin_flask.py\n./tests/test_plugin_flask_blueprint.py\n./tests/test_plugin_starlette.py\n./tests/test_response.py\n./tests/test_utils.py\n[The command completed with exit code 0.]\n[Current working directory: /testbed]\n[Python interpreter: /opt/conda/envs/testbed/bin/python]\n[Command finished with exit code 0]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_337c9da4037a45d7a4035233", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "cd /testbed && grep -r \"Field\\|description\" spectree/ --include=\"*.py\""}, "name": "execute_bash"}, "id": "call_667c9450c5e74632a209b8fa", "index": null, "type": "function"}]}, {"content": "spectree/response.py: responses[parse_code(code)] = {'description': DEFAULT_CODE_DESC[code]}\nspectree/response.py: 'description': DEFAULT_CODE_DESC[code],\nspectree/response.py: 'HTTP_431': 'Request Header Fields Too Large',\nspectree/spec.py: 'description': desc or '',\nspectree/utils.py: will be saved as description.\nspectree/utils.py: responses['422'] = {'description': 'Validation Error'}\n[The command completed with exit code 0.]\n[Current working directory: /testbed]\n[Python interpreter: /opt/conda/envs/testbed/bin/python]\n[Command finished with exit code 0]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_667c9450c5e74632a209b8fa", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"path": "/testbed/spectree/spec.py", "command": "view"}, "name": "str_replace_editor"}, "id": "call_453546dba2a84445894fb9d7", "index": null, "type": "function"}]}, {"content": "Here's the result of running `cat -n` on /testbed/spectree/spec.py:\n 1\tfrom functools import wraps\n 2\t\n 3\tfrom pydantic import BaseModel\n 4\t\n 5\tfrom .config import Config\n 6\tfrom .plugins import PLUGINS\n 7\tfrom .utils import (\n 8\t parse_comments, parse_request, parse_params, parse_resp, parse_name,\n 9\t default_before_handler, default_after_handler,\n 10\t)\n 11\t\n 12\t\n 13\tclass SpecTree:\n 14\t \"\"\"\n 15\t Interface\n 16\t\n 17\t :param str backend_name: choose from ('flask', 'falcon', 'starlette')\n 18\t :param backend: a backend that inherit `SpecTree.plugins.base.BasePlugin`\n 19\t :param app: backend framework application instance (you can also register to it later)\n 20\t :param before: a callback function of the form :meth:`spectree.utils.default_before_handler`\n 21\t ``func(req, resp, req_validation_error, instance)``\n 22\t that will be called after the request validation before the endpoint function\n 23\t :param after: a callback function of the form :meth:`spectree.utils.default_after_handler`\n 24\t ``func(req, resp, resp_validation_error, instance)``\n 25\t that will be called after the response validation\n 26\t :param kwargs: update default :class:`spectree.config.Config`\n 27\t \"\"\"\n 28\t\n 29\t def __init__(self,\n 30\t backend_name='base', backend=None,\n 31\t app=None,\n 32\t before=default_before_handler, after=default_after_handler,\n 33\t **kwargs):\n 34\t self.before = before\n 35\t self.after = after\n 36\t self.config = Config(**kwargs)\n 37\t self.backend_name = backend_name\n 38\t self.backend = backend(self) if backend else PLUGINS[backend_name](self)\n 39\t # init\n 40\t self.models = {}\n 41\t if app:\n 42\t self.register(app)\n 43\t\n 44\t def register(self, app):\n 45\t \"\"\"\n 46\t register to backend application\n 47\t\n 48\t This will be automatically triggered if the app is passed into the\n 49\t init step.\n 50\t \"\"\"\n 51\t self.app = app\n 52\t self.backend.register_route(self.app)\n 53\t\n 54\t @property\n 55\t def spec(self):\n 56\t \"\"\"\n 57\t get the OpenAPI spec\n 58\t \"\"\"\n 59\t if not hasattr(self, '_spec'):\n 60\t self._spec = self._generate_spec()\n 61\t return self._spec\n 62\t\n 63\t def bypass(self, func):\n 64\t \"\"\"\n 65\t bypass rules for routes (mode defined in config)\n 66\t\n 67\t :normal: collect all the routes that are not decorated by other\n 68\t `SpecTree` instance\n 69\t :greedy: collect all the routes\n 70\t :strict: collect all the routes decorated by this instance\n 71\t \"\"\"\n 72\t if self.config.MODE == 'greedy':\n 73\t return False\n 74\t elif self.config.MODE == 'strict':\n 75\t if getattr(func, '_decorator', None) == self:\n 76\t return False\n 77\t return True\n 78\t else:\n 79\t decorator = getattr(func, '_decorator', None)\n 80\t if decorator and decorator != self:\n 81\t return True\n 82\t return False\n 83\t\n 84\t def validate(self,\n 85\t query=None, json=None, headers=None, cookies=None, resp=None, tags=(),\n 86\t before=None, after=None):\n 87\t \"\"\"\n 88\t - validate query, json, headers in request\n 89\t - validate response body and status code\n 90\t - add tags to this API route\n 91\t\n 92\t :param query: `pydantic.BaseModel`, query in uri like `?name=value`\n 93\t :param json: `pydantic.BaseModel`, JSON format request body\n 94\t :param headers: `pydantic.BaseModel`, if you have specific headers\n 95\t :param cookies: `pydantic.BaseModel`, if you have cookies for this route\n 96\t :param resp: `spectree.Response`\n 97\t :param tags: a tuple of tags string\n 98\t :param before: :meth:`spectree.utils.default_before_handler` for specific endpoint\n 99\t :param after: :meth:`spectree.utils.default_after_handler` for specific endpoint\n 100\t \"\"\"\n 101\t\n 102\t def decorate_validation(func):\n 103\t # for sync framework\n 104\t @wraps(func)\n 105\t def sync_validate(*args, **kwargs):\n 106\t return self.backend.validate(\n 107\t func,\n 108\t query, json, headers, cookies, resp,\n 109\t before or self.before, after or self.after,\n 110\t *args, **kwargs)\n 111\t\n 112\t # for async framework\n 113\t @wraps(func)\n 114\t async def async_validate(*args, **kwargs):\n 115\t return await self.backend.validate(\n 116\t func,\n 117\t query, json, headers, cookies, resp,\n 118\t before or self.before, after or self.after,\n 119\t *args, **kwargs)\n 120\t\n 121\t validation = async_validate if self.backend_name == 'starlette' else sync_validate\n 122\t\n 123\t # register\n 124\t for name, model in zip(('query', 'json', 'headers', 'cookies'),\n 125\t (query, json, headers, cookies)):\n 126\t if model is not None:\n 127\t assert (issubclass(model, BaseModel))\n 128\t self.models[model.__name__] = model.schema()\n 129\t setattr(validation, name, model.__name__)\n 130\t\n 131\t if resp:\n 132\t for model in resp.models:\n 133\t self.models[model.__name__] = model.schema()\n 134\t validation.resp = resp\n 135\t\n 136\t if tags:\n 137\t validation.tags = tags\n 138\t\n 139\t # register decorator\n 140\t validation._decorator = self\n 141\t return validation\n 142\t\n 143\t return decorate_validation\n 144\t\n 145\t def _generate_spec(self):\n 146\t \"\"\"\n 147\t generate OpenAPI spec according to routes and decorators\n 148\t \"\"\"\n 149\t routes, tags = {}, {}\n 150\t for route in self.backend.find_routes():\n 151\t path, parameters = self.backend.parse_path(route)\n 152\t routes[path] = routes.get(path, {})\n 153\t for method, func in self.backend.parse_func(route):\n 154\t if self.backend.bypass(func, method) or self.bypass(func):\n 155\t continue\n 156\t\n 157\t name = parse_name(func)\n 158\t summary, desc = parse_comments(func)\n 159\t func_tags = getattr(func, 'tags', ())\n 160\t for tag in func_tags:\n 161\t if tag not in tags:\n 162\t tags[tag] = {'name': tag}\n 163\t\n 164\t routes[path][method.lower()] = {\n 165\t 'summary': summary or f'{name} <{method}>',\n 166\t 'operationID': f'{name}__{method.lower()}',\n 167\t 'description': desc or '',\n 168\t 'tags': getattr(func, 'tags', []),\n 169\t 'parameters': parse_params(func, parameters[:], self.models),\n 170\t 'responses': parse_resp(func),\n 171\t }\n 172\t\n 173\t request_body = parse_request(func)\n 174\t if request_body:\n 175\t routes[path][method.lower()]['requestBody'] = request_body\n 176\t\n 177\t spec = {\n 178\t 'openapi': self.config.OPENAPI_VERSION,\n 179\t 'info': {\n 180\t 'title': self.config.TITLE,\n 181\t 'version': self.config.VERSION,\n 182\t },\n 183\t 'tags': list(tags.values()),\n 184\t 'paths': {**routes},\n 185\t 'components': {\n 186\t 'schemas': {**self.models}\n 187\t },\n 188\t 'definitions': self._get_model_definitions()\n 189\t }\n 190\t return spec\n 191\t\n 192\t def _get_model_definitions(self):\n 193\t \"\"\"\n 194\t handle nested models\n 195\t \"\"\"\n 196\t definitions = {}\n 197\t for schema in self.models.values():\n 198\t if 'definitions' in schema:\n 199\t for key, value in schema['definitions'].items():\n 200\t definitions[key] = value\n 201\t del schema['definitions']\n 202\t\n 203\t return definitions\n 204\t\n", "function_call": null, "name": "str_replace_editor", "role": "tool", "tool_call_id": "call_453546dba2a84445894fb9d7", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"path": "/testbed/spectree/utils.py", "command": "view"}, "name": "str_replace_editor"}, "id": "call_8ed7c9604dfc42c49d64c6ce", "index": null, "type": "function"}]}, {"content": "Here's the result of running `cat -n` on /testbed/spectree/utils.py:\n 1\timport re\n 2\timport inspect\n 3\timport logging\n 4\t\n 5\t# parse HTTP status code to get the code\n 6\tHTTP_CODE = re.compile(r'^HTTP_(?P<code>\\d{3})$')\n 7\t\n 8\tlogger = logging.getLogger(__name__)\n 9\t\n 10\t\n 11\tdef parse_comments(func):\n 12\t \"\"\"\n 13\t parse function comments\n 14\t\n 15\t First line of comments will be saved as summary, and the rest\n 16\t will be saved as description.\n 17\t \"\"\"\n 18\t doc = inspect.getdoc(func)\n 19\t if doc is None:\n 20\t return None, None\n 21\t doc = doc.split('\\n', 1)\n 22\t if len(doc) == 1:\n 23\t return doc[0], None\n 24\t return doc[0], doc[1].strip()\n 25\t\n 26\t\n 27\tdef parse_request(func):\n 28\t \"\"\"\n 29\t get json spec\n 30\t \"\"\"\n 31\t data = {}\n 32\t if hasattr(func, 'json'):\n 33\t data = {\n 34\t 'content': {\n 35\t 'application/json': {\n 36\t 'schema': {\n 37\t '$ref': f'#/components/schemas/{func.json}'\n 38\t }\n 39\t }\n 40\t }\n 41\t }\n 42\t return data\n 43\t\n 44\t\n 45\tdef parse_params(func, params, models):\n 46\t \"\"\"\n 47\t get spec for (query, headers, cookies)\n 48\t \"\"\"\n 49\t if hasattr(func, 'query'):\n 50\t query = models[func.query]\n 51\t for name, schema in query['properties'].items():\n 52\t params.append({\n 53\t 'name': name,\n 54\t 'in': 'query',\n 55\t 'schema': schema,\n 56\t 'required': name in query.get('required', []),\n 57\t })\n 58\t\n 59\t if hasattr(func, 'headers'):\n 60\t headers = models[func.headers]\n 61\t for name, schema in headers['properties'].items():\n 62\t params.append({\n 63\t 'name': name,\n 64\t 'in': 'header',\n 65\t 'schema': schema,\n 66\t 'required': name in headers.get('required', []),\n 67\t })\n 68\t\n 69\t if hasattr(func, 'cookies'):\n 70\t cookies = models[func.cookies]\n 71\t for name, schema in cookies['properties'].items():\n 72\t params.append({\n 73\t 'name': name,\n 74\t 'in': 'cookie',\n 75\t 'schema': schema,\n 76\t 'required': name in cookies.get('required', []),\n 77\t })\n 78\t\n 79\t return params\n 80\t\n 81\t\n 82\tdef parse_resp(func):\n 83\t \"\"\"\n 84\t get the response spec\n 85\t\n 86\t If this function does not have explicit ``resp`` but have other models,\n 87\t a ``422 Validation Error`` will be append to the response spec. Since\n 88\t this may be triggered in the validation step.\n 89\t \"\"\"\n 90\t responses = {}\n 91\t if hasattr(func, 'resp'):\n 92\t responses = func.resp.generate_spec()\n 93\t\n 94\t if '422' not in responses and has_model(func):\n 95\t responses['422'] = {'description': 'Validation Error'}\n 96\t\n 97\t return responses\n 98\t\n 99\t\n 100\tdef has_model(func):\n 101\t \"\"\"\n 102\t return True if this function have ``pydantic.BaseModel``\n 103\t \"\"\"\n 104\t if any(hasattr(func, x) for x in ('query', 'json', 'headers')):\n 105\t return True\n 106\t\n 107\t if hasattr(func, 'resp') and func.resp.has_model():\n 108\t return True\n 109\t\n 110\t return False\n 111\t\n 112\t\n 113\tdef parse_code(http_code):\n 114\t \"\"\"\n 115\t get the code of this HTTP status\n 116\t\n 117\t :param str http_code: format like ``HTTP_200``\n 118\t \"\"\"\n 119\t match = HTTP_CODE.match(http_code)\n 120\t if not match:\n 121\t return None\n 122\t return match.group('code')\n 123\t\n 124\t\n 125\tdef parse_name(func):\n 126\t \"\"\"\n 127\t the func can be\n 128\t\n 129\t * undecorated functions\n 130\t * decorated functions\n 131\t * decorated class methods\n 132\t \"\"\"\n 133\t return func.__name__\n 134\t\n 135\t\n 136\tdef default_before_handler(req, resp, req_validation_error, instance):\n 137\t \"\"\"\n 138\t default handler called before the endpoint function after the request validation\n 139\t\n 140\t :param req: request provided by the web framework\n 141\t :param resp: response generated by SpecTree that will be returned\n 142\t if the validation error is not None\n 143\t :param req_validation_error: request validation error\n 144\t :param instance: class instance if the endpoint function is a class method\n 145\t \"\"\"\n 146\t if req_validation_error:\n 147\t logger.info(\n 148\t '422 Validation Error',\n 149\t extra={\n 150\t 'spectree_model': req_validation_error.model.__name__,\n 151\t 'spectree_validation': req_validation_error.errors(),\n 152\t },\n 153\t )\n 154\t\n 155\t\n 156\tdef default_after_handler(req, resp, resp_validation_error, instance):\n 157\t \"\"\"\n 158\t default handler called after the response validation\n 159\t\n 160\t :param req: request provided by the web framework\n 161\t :param resp: response from the endpoint function (if there is no validation error)\n 162\t or response validation error\n 163\t :param resp_validation_error: response validation error\n 164\t :param instance: class instance if the endpoint function is a class method\n 165\t \"\"\"\n 166\t if resp_validation_error:\n 167\t logger.info(\n 168\t '500 Response Validation Error',\n 169\t extra={\n 170\t 'spectree_model': resp_validation_error.model.__name__,\n 171\t 'spectree_validation': resp_validation_error.errors(),\n 172\t },\n 173\t )\n 174\t\n", "function_call": null, "name": "str_replace_editor", "role": "tool", "tool_call_id": "call_8ed7c9604dfc42c49d64c6ce", "tool_calls": null}, {"content": "Now let me look at the issue more closely. The problem is in how query parameters are handled. Let me examine the `parse_params` function in utils.py:\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"thought": "Looking at the code, I can see the issue now. In the `parse_params` function in `utils.py`, when processing query parameters (lines 49-57), the code only copies the `schema` from the model properties but doesn't include the `description` field that might be present in the schema.\n\nThe problem is on line 55:\n```python\n'schema': schema,\n```\n\nThis copies the entire schema object, but when Swagger UI processes query parameters, it might not be looking at the schema's description field properly. The issue could be that we need to explicitly add the description at the parameter level, not just within the schema.\n\nLet me check how the schema is structured by looking at what Pydantic generates."}, "name": "think"}, "id": "call_016c4a38efb3422cb5ab799a", "index": null, "type": "function"}]}, {"content": "Your thought has been logged.", "function_call": null, "name": "think", "role": "tool", "tool_call_id": "call_016c4a38efb3422cb5ab799a", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"path": "/testbed/examples/flask_demo.py", "command": "view"}, "name": "str_replace_editor"}, "id": "call_3f835f8e5e8f4421988c2dba", "index": null, "type": "function"}]}, {"content": "Here's the result of running `cat -n` on /testbed/examples/flask_demo.py:\n 1\tfrom flask import Flask, request, jsonify, abort\n 2\tfrom pydantic import BaseModel, Field\n 3\tfrom random import random\n 4\tfrom enum import Enum\n 5\t\n 6\tfrom spectree import SpecTree, Response\n 7\t\n 8\t\n 9\tapp = Flask(__name__)\n 10\tapi = SpecTree('flask')\n 11\t\n 12\t\n 13\tclass Query(BaseModel):\n 14\t text: str = 'default query strings'\n 15\t\n 16\t\n 17\tclass Resp(BaseModel):\n 18\t label: int\n 19\t score: float = Field(\n 20\t ...,\n 21\t gt=0,\n 22\t lt=1,\n 23\t )\n 24\t\n 25\t\n 26\tclass Data(BaseModel):\n 27\t uid: str\n 28\t limit: int = 5\n 29\t vip: bool\n 30\t\n 31\t class Config:\n 32\t schema_extra = {\n 33\t 'example': {\n 34\t 'uid': 'very_important_user',\n 35\t 'limit': 10,\n 36\t 'vip': True,\n 37\t }\n 38\t }\n 39\t\n 40\t\n 41\tclass Language(str, Enum):\n 42\t en = 'en-US'\n 43\t zh = 'zh-CN'\n 44\t\n 45\t\n 46\tclass Header(BaseModel):\n 47\t Lang: Language\n 48\t\n 49\t\n 50\tclass Cookie(BaseModel):\n 51\t key: str\n 52\t\n 53\t\n 54\t@app.route('/api/predict/<string(length=2):source>/<string(length=2):target>', methods=['POST'])\n 55\t@api.validate(query=Query, json=Data, resp=Response('HTTP_403', HTTP_200=Resp), tags=['model'])\n 56\tdef predict(source, target):\n 57\t \"\"\"\n 58\t predict demo\n 59\t\n 60\t demo for `query`, `data`, `resp`, `x`\n 61\t\n 62\t query with ``http POST ':8000/api/predict/zh/en?text=hello' uid=xxx limit=5 vip=false ``\n 63\t \"\"\"\n 64\t print(f'=> from {source} to {target}') # path\n 65\t print(f'JSON: {request.context.json}') # Data\n 66\t print(f'Query: {request.context.query}') # Query\n 67\t if random() < 0.5:\n 68\t abort(403)\n 69\t\n 70\t return jsonify(label=int(10 * random()), score=random())\n 71\t\n 72\t\n 73\t@app.route('/api/header', methods=['POST'])\n 74\t@api.validate(headers=Header, cookies=Cookie, resp=Response('HTTP_203'), tags=['test', 'demo'])\n 75\tdef with_code_header():\n 76\t \"\"\"\n 77\t demo for JSON with status code and header\n 78\t\n 79\t query with ``http POST :8000/api/header Lang:zh-CN Cookie:key=hello``\n 80\t \"\"\"\n 81\t return jsonify(language=request.context.headers.Lang), 203, {'X': 233}\n 82\t\n 83\t\n 84\tif __name__ == '__main__':\n 85\t api.register(app)\n 86\t app.run(port=8000)\n 87\t\n", "function_call": null, "name": "str_replace_editor", "role": "tool", "tool_call_id": "call_3f835f8e5e8f4421988c2dba", "tool_calls": null}, {"content": "Let me create a test script to reproduce the issue first:\n\n## Phase 4. TEST CREATION: Creating a Reproduction Script\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"path": "/testbed/reproduce_issue.py", "command": "create", "file_text": "#!/usr/bin/env python3\n\"\"\"\nScript to reproduce the issue with query parameter descriptions not showing in Swagger UI\n\"\"\"\n\nfrom flask import Flask, jsonify\nfrom pydantic import BaseModel, Field\nfrom typing import List\nfrom spectree import SpecTree, Response\n\napp = Flask(__name__)\napi = SpecTree('flask')\n\nclass HelloGetListForm(BaseModel):\n \"\"\"Nested form for testing\"\"\"\n item: str = Field(description='An item in the list')\n\nclass HelloListForm(BaseModel):\n \"\"\"Another nested form for testing\"\"\"\n value: int = Field(description='A numeric value')\n\nclass HelloForm(BaseModel):\n \"\"\"\n hello\u8868\u5355\n \"\"\"\n user: str # \u7528\u6237\u540d\u79f0 - this is a comment, not a Field description\n msg: str = Field(description='msg test', example='aa')\n index: int\n data: HelloGetListForm\n list: List[HelloListForm]\n\n@app.route('/', methods=['GET'])\n@api.validate(query=HelloForm)\ndef hello():\n \"\"\"\n hello \u6ce8\u91ca\n :return:\n \"\"\"\n return 'ok'\n\n@app.route('/test', methods=['GET'])\ndef test():\n \"\"\"Simple test endpoint\"\"\"\n return 'test'\n\nif __name__ == '__main__':\n api.register(app)\n print(\"Starting Flask app...\")\n print(\"Visit http://localhost:8000/apidoc/swagger to see the issue\")\n print(\"Visit http://localhost:8000/apidoc/redoc to compare with Redoc\")\n app.run(port=8000, debug=True)"}, "name": "str_replace_editor"}, "id": "call_f43fbf6df76e4ea1a5ab5ff7", "index": null, "type": "function"}]}, {"content": "File created successfully at: /testbed/reproduce_issue.py", "function_call": null, "name": "str_replace_editor", "role": "tool", "tool_call_id": "call_f43fbf6df76e4ea1a5ab5ff7", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "cd /testbed && python reproduce_issue.py > server.log 2>&1 &"}, "name": "execute_bash"}, "id": "call_fb8d617639c34196a0d9a981", "index": null, "type": "function"}]}, {"content": "[1] 386\n[The command completed with exit code 0.]\n[Current working directory: /testbed]\n[Python interpreter: /opt/conda/envs/testbed/bin/python]\n[Command finished with exit code 0]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_fb8d617639c34196a0d9a981", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "sleep 3 && curl -s http://localhost:8000/apidoc/openapi.json | python -m json.tool | grep -A 20 -B 5 \"msg\""}, "name": "execute_bash"}, "id": "call_05951b58de91492d8bc9efbd", "index": null, "type": "function"}]}, {"content": "[1]+ Stopped cd /testbed && python reproduce_issue.py > server.log 2>&1\n[The command has no new output after 10 seconds. You may wait longer to see additional output by sending empty command '', send other commands to interact with the current process, send keys to interrupt/kill the command, or use the timeout parameter in execute_bash for future commands.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_05951b58de91492d8bc9efbd", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "C-c", "is_input": true}, "name": "execute_bash"}, "id": "call_dd2887989bda4bc68ed130eb", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"C-c\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_dd2887989bda4bc68ed130eb", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "C-c", "is_input": true}, "name": "execute_bash"}, "id": "call_9a171750ff9a4fbd817a52f1", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"C-c\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_9a171750ff9a4fbd817a52f1", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "kill %1"}, "name": "execute_bash"}, "id": "call_61a53aa88e2946b799060152", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"kill %1\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_61a53aa88e2946b799060152", "tool_calls": null}, {"content": "Let me check what's running and kill it properly:\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "ps aux | grep python"}, "name": "execute_bash"}, "id": "call_142b5708c023456abb27cd2f", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"ps aux | grep python\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_142b5708c023456abb27cd2f", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "", "is_input": true}, "name": "execute_bash"}, "id": "call_25f106a14c5b49199a83503f", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[The command has no new output after 10 seconds. You may wait longer to see additional output by sending empty command '', send other commands to interact with the current process, send keys to interrupt/kill the command, or use the timeout parameter in execute_bash for future commands.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_25f106a14c5b49199a83503f", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "C-c", "is_input": true}, "name": "execute_bash"}, "id": "call_ba3caa5e060f44e59239b1a3", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"C-c\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_ba3caa5e060f44e59239b1a3", "tool_calls": null}, {"content": "Let me check the background processes differently:\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "jobs"}, "name": "execute_bash"}, "id": "call_d27ec344988645b9b84d6f6a", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"jobs\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_d27ec344988645b9b84d6f6a", "tool_calls": null}, {"content": "Let me try to kill the process directly:\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "pkill -f reproduce_issue.py"}, "name": "execute_bash"}, "id": "call_0542fbcfc64747b4bdc1f4eb", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"pkill -f reproduce_issue.py\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_0542fbcfc64747b4bdc1f4eb", "tool_calls": null}, {"content": "Let me try a different approach and look at the issue directly by examining the code:\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"path": "/testbed/debug_schema.py", "command": "create", "file_text": "#!/usr/bin/env python3\n\"\"\"\nDebug script to examine the OpenAPI schema generation\n\"\"\"\n\nfrom pydantic import BaseModel, Field\nfrom typing import List\n\nclass HelloGetListForm(BaseModel):\n \"\"\"Nested form for testing\"\"\"\n item: str = Field(description='An item in the list')\n\nclass HelloListForm(BaseModel):\n \"\"\"Another nested form for testing\"\"\"\n value: int = Field(description='A numeric value')\n\nclass HelloForm(BaseModel):\n \"\"\"\n hello\u8868\u5355\n \"\"\"\n user: str # \u7528\u6237\u540d\u79f0 - this is a comment, not a Field description\n msg: str = Field(description='msg test', example='aa')\n index: int\n data: HelloGetListForm\n list: List[HelloListForm]\n\n# Generate and examine the schema\nschema = HelloForm.schema()\nprint(\"HelloForm schema:\")\nimport json\nprint(json.dumps(schema, indent=2))\n\nprint(\"\\nProperties with descriptions:\")\nfor prop_name, prop_schema in schema['properties'].items():\n if 'description' in prop_schema:\n print(f\" {prop_name}: {prop_schema['description']}\")\n else:\n print(f\" {prop_name}: (no description)\")"}, "name": "str_replace_editor"}, "id": "call_fbf3350149024d5d9eed8458", "index": null, "type": "function"}]}, {"content": "File created successfully at: /testbed/debug_schema.py", "function_call": null, "name": "str_replace_editor", "role": "tool", "tool_call_id": "call_fbf3350149024d5d9eed8458", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "cd /testbed && python debug_schema.py"}, "name": "execute_bash"}, "id": "call_2290eff07dcd44b0b3d8a0b2", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"cd /testbed && python debug_schema.py\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_2290eff07dcd44b0b3d8a0b2", "tool_calls": null}, {"content": null, "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "C-c", "is_input": true}, "name": "execute_bash"}, "id": "call_d5027e86ea854cfba5d49820", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"C-c\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_d5027e86ea854cfba5d49820", "tool_calls": null}, {"content": "Let me restart the shell to clear the stuck processes:\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "C-z", "is_input": true}, "name": "execute_bash"}, "id": "call_9e8dc3e17c024f79955f8c0c", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"C-z\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_9e8dc3e17c024f79955f8c0c", "tool_calls": null}, {"content": "Let me try a different approach to debug this:\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"command": "cd /testbed && python -c \"from pydantic import BaseModel, Field; from typing import List; class HelloForm(BaseModel): msg: str = Field(description='msg test'); user: str; index: int; print(HelloForm.schema())\""}, "name": "execute_bash"}, "id": "call_52e082d9018f441fb1a8700f", "index": null, "type": "function"}]}, {"content": "[Below is the output of the previous command.]\n\n[Your command \"cd /testbed && python -c \"from pydantic import BaseModel, Field; from typing import List; class HelloForm(BaseModel): msg: str = Field(description='msg test'); user: str; index: int; print(HelloForm.schema())\"\" is NOT executed. The previous command is still running - You CANNOT send new commands until the previous command is completed. By setting `is_input` to `true`, you can interact with the current process: You may wait longer to see additional output of the previous command by sending empty command '', send other commands to interact with the current process, or send keys (\"C-c\", \"C-z\", \"C-d\") to interrupt/kill the previous command before sending your new command.]", "function_call": null, "name": "execute_bash", "role": "tool", "tool_call_id": "call_52e082d9018f441fb1a8700f", "tool_calls": null}, {"content": "Let me try to restart the session by finishing and starting over:\n\n", "function_call": null, "name": null, "role": "assistant", "tool_call_id": null, "tool_calls": [{"function": {"arguments": {"message": "I need to restart the session to clear stuck processes."}, "name": "finish"}, "id": "call_cbcc5115b8894d3e825df52f", "index": null, "type": "function"}]}] | 0 | [{"function": {"description": "Execute a bash command in the terminal within a persistent shell session.\n\n\n### Command Execution\n* One command at a time: You can only execute one bash command at a time. If you need to run multiple commands sequentially, use `&&` or `;` to chain them together.\n* Persistent session: Commands execute in a persistent shell session where environment variables, virtual environments, and working directory persist between commands.\n* Soft timeout: Commands have a soft timeout of 10 seconds, once that's reached, you have the option to continue or interrupt the command (see section below for details)\n\n### Long-running Commands\n* For commands that may run indefinitely, run them in the background and redirect output to a file, e.g. `python3 app.py > server.log 2>&1 &`.\n* For commands that may run for a long time (e.g. installation or testing commands), or commands that run for a fixed amount of time (e.g. sleep), you should set the \"timeout\" parameter of your function call to an appropriate value.\n* If a bash command returns exit code `-1`, this means the process hit the soft timeout and is not yet finished. By setting `is_input` to `true`, you can:\n - Send empty `command` to retrieve additional logs\n - Send text (set `command` to the text) to STDIN of the running process\n - Send control commands like `C-c` (Ctrl+C), `C-d` (Ctrl+D), or `C-z` (Ctrl+Z) to interrupt the process\n - If you do C-c, you can re-start the process with a longer \"timeout\" parameter to let it run to completion\n\n### Best Practices\n* Directory verification: Before creating new directories or files, first verify the parent directory exists and is the correct location.\n* Directory management: Try to maintain working directory by using absolute paths and avoiding excessive use of `cd`.\n\n### Output Handling\n* Output truncation: If the output exceeds a maximum length, it will be truncated before being returned.\n", "name": "execute_bash", "parameters": {"properties": {"command": {"description": "The bash command to execute. Can be empty string to view additional logs when previous exit code is `-1`. Can be `C-c` (Ctrl+C) to interrupt the currently running process. Note: You can only execute one bash command at a time. If you need to run multiple commands sequentially, you can use `&&` or `;` to chain them together.", "type": "string"}, "is_input": {"description": "If True, the command is an input to the running process. If False, the command is a bash command to be executed in the terminal. Default is False.", "enum": ["true", "false"], "type": "string"}, "timeout": {"description": "Optional. Sets a hard timeout in seconds for the command execution. If not provided, the command will use the default soft timeout behavior.", "type": "number"}}, "required": ["command"], "type": "object"}}, "type": "function"}, {"function": {"description": "Signals the completion of the current task or conversation.\n\nUse this tool when:\n- You have successfully completed the user's requested task\n- You cannot proceed further due to technical limitations or missing information\n\nThe message should include:\n- A clear summary of actions taken and their results\n- Any next steps for the user\n- Explanation if you're unable to complete the task\n- Any follow-up questions if more information is needed\n", "name": "finish", "parameters": {"properties": {"message": {"description": "Final message to send to the user", "type": "string"}}, "required": ["message"], "type": "object"}}, "type": "function"}, {"function": {"description": "Custom editing tool for viewing, creating and editing files in plain-text format\n* State is persistent across command calls and discussions with the user\n* If `path` is a text file, `view` displays the result of applying `cat -n`. If `path` is a directory, `view` lists non-hidden files and directories up to 2 levels deep\n* The following binary file extensions can be viewed in Markdown format: [\".xlsx\", \".pptx\", \".wav\", \".mp3\", \".m4a\", \".flac\", \".pdf\", \".docx\"]. IT DOES NOT HANDLE IMAGES.\n* The `create` command cannot be used if the specified `path` already exists as a file\n* If a `command` generates a long output, it will be truncated and marked with `<response clipped>`\n* The `undo_edit` command will revert the last edit made to the file at `path`\n* This tool can be used for creating and editing files in plain-text format.\n\n\nBefore using this tool:\n1. Use the view tool to understand the file's contents and context\n2. Verify the directory path is correct (only applicable when creating new files):\n - Use the view tool to verify the parent directory exists and is the correct location\n\nWhen making edits:\n - Ensure the edit results in idiomatic, correct code\n - Do not leave the code in a broken state\n - Always use absolute file paths (starting with /)\n\nCRITICAL REQUIREMENTS FOR USING THIS TOOL:\n\n1. EXACT MATCHING: The `old_str` parameter must match EXACTLY one or more consecutive lines from the file, including all whitespace and indentation. The tool will fail if `old_str` matches multiple locations or doesn't match exactly with the file content.\n\n2. UNIQUENESS: The `old_str` must uniquely identify a single instance in the file:\n - Include sufficient context before and after the change point (3-5 lines recommended)\n - If not unique, the replacement will not be performed\n\n3. REPLACEMENT: The `new_str` parameter should contain the edited lines that replace the `old_str`. Both strings must be different.\n\nRemember: when making multiple file edits in a row to the same file, you should prefer to send all edits in a single message with multiple calls to this tool, rather than multiple messages with a single call each.\n", "name": "str_replace_editor", "parameters": {"properties": {"command": {"description": "The commands to run. Allowed options are: `view`, `create`, `str_replace`, `insert`, `undo_edit`.", "enum": ["view", "create", "str_replace", "insert", "undo_edit"], "type": "string"}, "file_text": {"description": "Required parameter of `create` command, with the content of the file to be created.", "type": "string"}, "insert_line": {"description": "Required parameter of `insert` command. The `new_str` will be inserted AFTER the line `insert_line` of `path`.", "type": "integer"}, "new_str": {"description": "Optional parameter of `str_replace` command containing the new string (if not given, no string will be added). Required parameter of `insert` command containing the string to insert.", "type": "string"}, "old_str": {"description": "Required parameter of `str_replace` command containing the string in `path` to replace.", "type": "string"}, "path": {"description": "Absolute path to file or directory, e.g. `/workspace/file.py` or `/workspace`.", "type": "string"}, "view_range": {"description": "Optional parameter of `view` command when `path` points to a file. If none is given, the full file is shown. If provided, the file will be shown in the indicated line number range, e.g. [11, 12] will show lines 11 and 12. Indexing at 1 to start. Setting `[start_line, -1]` shows all lines from `start_line` to the end of the file.", "items": {"type": "integer"}, "type": "array"}}, "required": ["command", "path"], "type": "object"}}, "type": "function"}, {"function": {"description": "Use the tool to think about something. It will not obtain new information or make any changes to the repository, but just log the thought. Use it when complex reasoning or brainstorming is needed.\n\nCommon use cases:\n1. When exploring a repository and discovering the source of a bug, call this tool to brainstorm several unique ways of fixing the bug, and assess which change(s) are likely to be simplest and most effective.\n2. After receiving test results, use this tool to brainstorm ways to fix failing tests.\n3. When planning a complex refactoring, use this tool to outline different approaches and their tradeoffs.\n4. When designing a new feature, use this tool to think through architecture decisions and implementation details.\n5. When debugging a complex issue, use this tool to organize your thoughts and hypotheses.\n\nThe tool simply logs your thought process for better transparency and does not execute any code or make changes.", "name": "think", "parameters": {"properties": {"thought": {"description": "The thought to log.", "type": "string"}}, "required": ["thought"], "type": "object"}}, "type": "function"}] | Apache-2.0 |
0b01001001__spectree-64_run2 | tool_calls | qingyangwu/sweb.eval.x86_64.0b01001001_1776_spectree-64 | "[{\"content\": \"You are OpenHands agent, a helpful AI assistant that can interact with a computer (...TRUNCATED) | 1 | "[{\"function\": {\"description\": \"Execute a bash command in the terminal within a persistent shel(...TRUNCATED) | Apache-2.0 |
0b01001001__spectree-64_run3 | tool_calls | qingyangwu/sweb.eval.x86_64.0b01001001_1776_spectree-64 | "[{\"content\": \"You are OpenHands agent, a helpful AI assistant that can interact with a computer (...TRUNCATED) | 1 | "[{\"function\": {\"description\": \"Execute a bash command in the terminal within a persistent shel(...TRUNCATED) | Apache-2.0 |
0b01001001__spectree-64_run4 | tool_calls | qingyangwu/sweb.eval.x86_64.0b01001001_1776_spectree-64 | "[{\"content\": \"You are OpenHands agent, a helpful AI assistant that can interact with a computer (...TRUNCATED) | 1 | "[{\"function\": {\"description\": \"Execute a bash command in the terminal within a persistent shel(...TRUNCATED) | Apache-2.0 |
0b01001001__spectree-64_run5 | tool_calls | qingyangwu/sweb.eval.x86_64.0b01001001_1776_spectree-64 | "[{\"content\": \"You are OpenHands agent, a helpful AI assistant that can interact with a computer (...TRUNCATED) | 1 | "[{\"function\": {\"description\": \"Execute a bash command in the terminal within a persistent shel(...TRUNCATED) | Apache-2.0 |
0b01001001__spectree-64_run6 | tool_calls | qingyangwu/sweb.eval.x86_64.0b01001001_1776_spectree-64 | "[{\"content\": \"You are OpenHands agent, a helpful AI assistant that can interact with a computer (...TRUNCATED) | 1 | "[{\"function\": {\"description\": \"Execute a bash command in the terminal within a persistent shel(...TRUNCATED) | Apache-2.0 |
0b01001001__spectree-64_run7 | tool_calls | qingyangwu/sweb.eval.x86_64.0b01001001_1776_spectree-64 | "[{\"content\": \"You are OpenHands agent, a helpful AI assistant that can interact with a computer (...TRUNCATED) | 1 | "[{\"function\": {\"description\": \"Execute a bash command in the terminal within a persistent shel(...TRUNCATED) | Apache-2.0 |
0b01001001__spectree-64_run8 | tool_calls | qingyangwu/sweb.eval.x86_64.0b01001001_1776_spectree-64 | "[{\"content\": \"You are OpenHands agent, a helpful AI assistant that can interact with a computer (...TRUNCATED) | 1 | "[{\"function\": {\"description\": \"Execute a bash command in the terminal within a persistent shel(...TRUNCATED) | Apache-2.0 |
12rambau__sepal_ui-347_run1 | tool_calls | qingyangwu/sweb.eval.x86_64.12rambau_1776_sepal_ui-814 | "[{\"content\": \"You are OpenHands agent, a helpful AI assistant that can interact with a computer (...TRUNCATED) | 1 | "[{\"function\": {\"description\": \"Execute a bash command in the terminal within a persistent shel(...TRUNCATED) | MIT |
12rambau__sepal_ui-347_run2 | tool_calls | qingyangwu/sweb.eval.x86_64.12rambau_1776_sepal_ui-814 | "[{\"content\": \"You are OpenHands agent, a helpful AI assistant that can interact with a computer (...TRUNCATED) | 0 | "[{\"function\": {\"description\": \"Execute a bash command in the terminal within a persistent shel(...TRUNCATED) | MIT |
End of preview. Expand
in Data Studio
CoderForge-Preview: SOTA Open Dataset for Training Efficient Agents
CoderForge-Preview is the largest open test-verified coding agent dataset.
Fine-tuning Qwen-3 32B on it, we boost SWE-Bench Verified performance 23.0% → 59.4% pass@1 and rank #1 among open-data and #2 among open-weight models ≤32B parameters.
Limitations
- Adaptability to different scaffolds: We generated all trajectories using a single scaffold and fixed tool set (no permutations). Models trained via SFT on this data may perform worse when deployed with different scaffolds, tools, prompt templates, or tool-call formats.
- Task scope: Our data sources skew toward bug fixing. As a result, models trained on this dataset may be less capable on tasks outside that scope, such as feature implementation, refactors, or design-heavy changes.
- User interaction: Real coding-agent usage often involves ongoing user collaboration, with user messages appearing throughout the trajectory—not just at the start. This kind of interactive supervision is still largely missing from open coding-agent datasets (including ours). Models trained on SFT alone may therefore underperform in interactive settings.
Conclusion
In this release, we focus on large-scale agentic data generation: assembling 51K distinct open-source tasks and generating long-horizon, multi-step SFT trajectories. Our results show that a simple data-generation pipeline combined with pure SFT can produce substantial gains in coding-agent performance.
Next steps
Moving forward, we plan to:
- Scale data generation further (more tasks, more trajectories, longer horizons where helpful)
- Generate data under multiple scaffolds, tool sets, and prompt/tool-call permutations to improve robustness and transfer
- Train larger models and run more systematic hyperparameter tuning
- Follow the DeepSWE training paradigm by applying agentic reinforcement learning on top of our fine-tuned model to drive further performance gains
Citation
@misc{CoderForge2026,
title = {CoderForge-Preview: SOTA Open Dataset for Training Efficient Agents},
author = {Ariyak, Alpay and Zhang, Junda and Wang, Junxiong and Zhu, Shang and Bianchi, Federico and Srivastava, Sanjana and Panda, Ashwinee and Bharti, Siddhant and Xu, Chenfeng and Heo, John and Wu, Xiaoxia Shirley and Zhou, James and Liang, Percy and Song, Leon and Zhang, Ce and Athiwaratkun, Ben and Zhou, Zhongzhu and Wu, Qingyang},
year = {2026},
month = feb,
publisher = {TogetherAI Blog},
url = {https://www.together.ai/blog/coderforge-preview},
note = {Project core leads: Alpay Ariyak; Zhongzhu Zhou; Qingyang Wu}
}
- Downloads last month
- 48