fabro/checkpoint.json

{
  "timestamp": "2026-03-16T12:08:25.940038Z",
  "current_node": "extract_patch",
  "completed_nodes": [
    "start",
    "setup",
    "solve",
    "extract_patch"
  ],
  "node_retries": {
    "extract_patch": 1,
    "solve": 4,
    "setup": 1,
    "start": 1
  },
  "context_values": {
    "internal.thread_id": "solve",
    "failure_class": "",
    "command.output": "",
    "internal.retry_count.extract_patch": 1,
    "graph.rankdir": "LR",
    "internal.retry_count.solve": 4,
    "internal.run_id": "01KKV8NX5KPXHJZ9MDXVCM2XDN",
    "outcome": "success",
    "thread.setup.current_node": "solve",
    "current.preamble": "Goal: HttpResponse doesn't handle memoryview objects\nDescription\n\t\nI am trying to write a BinaryField retrieved from the database into a HttpResponse. When the database is Sqlite this works correctly, but Postgresql returns the contents of the field as a memoryview object and it seems like current Django doesn't like this combination:\nfrom django.http import HttpResponse\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n# String content\nresponse = HttpResponse(\"My Content\")\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\nresponse.content\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n# Out: b'My Content'\n# This is correct\n# Bytes content\nresponse = HttpResponse(b\"My Content\")\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \nresponse.content\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n# Out: b'My Content'\n# This is also correct\n# memoryview content\nresponse = HttpResponse(memoryview(b\"My Content\"))\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \nresponse.content\n# Out: b'<memory at 0x7fcc47ab2648>'\n# This is not correct, I am expecting b'My Content'\n\n\n\n## Additional Context\n\nI guess HttpResponseBase.make_bytes ​could be adapted to deal with memoryview objects by casting them to bytes. In all cases simply wrapping the memoryview in bytes works as a workaround HttpResponse(bytes(model.binary_field)).\nThe fact make_bytes would still use force_bytes if da56e1bac6449daef9aeab8d076d2594d9fd5b44 didn't refactor it and that d680a3f4477056c69629b0421db4bb254b8c69d0 added memoryview support to force_bytes strengthen my assumption that make_bytes should be adjusted as well.\nI'll try to work on this.\n\n## Completed stages\n- **setup**: fail\n  - Script: `git clone https://github.com/django/django.git . && git checkout 879cc3da6249e920b8d54518a0ae06de835d7373 && python -m pip install -e .`\n  - Stdout:\n    ```\n    fatal: destination path '.' already exists and is not an empty directory.\n    ```\n  - Stderr: (empty)\n- **solve**: fail\n\n## Context\n- failure_class: transient_infra\n- failure_signature: solve|transient_infra|api_transient|gemini|rate_limited\n",
    "internal.fidelity": "compact",
    "current_node": "extract_patch",
    "internal.retry_count.start": 1,
    "thread.start.current_node": "setup",
    "internal.retry_count.setup": 1,
    "failure_signature": "",
    "graph.goal": "HttpResponse doesn't handle memoryview objects\nDescription\n\t\nI am trying to write a BinaryField retrieved from the database into a HttpResponse. When the database is Sqlite this works correctly, but Postgresql returns the contents of the field as a memoryview object and it seems like current Django doesn't like this combination:\nfrom django.http import HttpResponse\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n# String content\nresponse = HttpResponse(\"My Content\")\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\nresponse.content\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n# Out: b'My Content'\n# This is correct\n# Bytes content\nresponse = HttpResponse(b\"My Content\")\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \nresponse.content\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n# Out: b'My Content'\n# This is also correct\n# memoryview content\nresponse = HttpResponse(memoryview(b\"My Content\"))\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \nresponse.content\n# Out: b'<memory at 0x7fcc47ab2648>'\n# This is not correct, I am expecting b'My Content'\n\n\n\n## Additional Context\n\nI guess HttpResponseBase.make_bytes ​could be adapted to deal with memoryview objects by casting them to bytes. In all cases simply wrapping the memoryview in bytes works as a workaround HttpResponse(bytes(model.binary_field)).\nThe fact make_bytes would still use force_bytes if da56e1bac6449daef9aeab8d076d2594d9fd5b44 didn't refactor it and that d680a3f4477056c69629b0421db4bb254b8c69d0 added memoryview support to force_bytes strengthen my assumption that make_bytes should be adjusted as well.\nI'll try to work on this.",
    "thread.solve.current_node": "extract_patch",
    "command.stderr": "",
    "internal.node_visit_count": 1
  },
  "logs": [],
  "node_outcomes": {
    "setup": {
      "status": "fail",
      "context_updates": {
        "command.output": "fatal: destination path '.' already exists and is not an empty directory.\n",
        "command.stderr": ""
      },
      "failure": {
        "message": "Script failed with exit code: 128\n\n## stdout\nfatal: destination path '.' already exists and is not an empty directory.\n",
        "failure_class": "deterministic"
      },
      "duration_ms": 26
    },
    "start": {
      "status": "success",
      "duration_ms": 0
    },
    "extract_patch": {
      "status": "success",
      "context_updates": {
        "command.stderr": "",
        "command.output": ""
      },
      "notes": "Script completed: git diff",
      "duration_ms": 28
    },
    "solve": {
      "status": "fail",
      "failure": {
        "message": "LLM error: Rate limited by gemini: You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_requests_per_model_per_day, limit: 250, model: gemini-3.1-pro\nPlease retry in 11h51m36.202664022s.",
        "failure_class": "transient_infra",
        "failure_signature": "api_transient|gemini|rate_limited"
      },
      "duration_ms": 67619
    }
  },
  "next_node_id": "exit",
  "loop_failure_signatures": {
    "setup|deterministic|script failed with exit code: <n> ## stdout fatal: destination path '.' already exists and is not an empty directory.": 1
  },
  "node_visits": {
    "extract_patch": 1,
    "setup": 1,
    "solve": 1,
    "start": 1
  }
}