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ROLLOUT 6 · CS-SI/eodag

cs-si__eodag-961

Not solved
457 stotal time
20tool calls
20model calls
5,782tokens generated
181,321prompt tokens read

Empty agent patch

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System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`.
Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run.

## Critical Environment & Grader Rules
1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`.
2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files.
3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`.
4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks:
   `pytest path/to/test_file.py -k pattern -q --tb=short --no-header`
   If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off.
5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission.

## Execution Protocol

### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls)
- The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories.
- Run a single compound `run_command` with `grep -rn --include="*.py"` to locate:
  (a) the exact symbols, error strings, or functions from the problem description,
  (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and
  (c) the closest existing unit test files under `tests/`.

### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls)
- Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests.
- Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types.

### Phase 3 — Reproduce Bug in One Call (1 tool call)
- Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts.

### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls)
- Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`.
- Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests.
- **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`.

### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls)
- Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`.
- Run `git status --short && git diff` via `run_command`. Confirm:
  - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately),
  - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched),
  - Minimal, clean diff with valid imports and indentation.
- Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 4,032 characters
You are evaluating a software engineering task for repository CS-SI/eodag.

Problem Statement:
eodag-authenticated and origin raw assets both available in server mode
In server mode, once #721 is done, make available both eodag-authenticated and origin raw assets using https://github.com/stac-extensions/alternate-assets:
```json
{
  "features": [
    {
      "id": "some-product",
      "assets": {
        "B01": {
          "title": "Download link",
          "href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01",
          "alternate": {
            "origin": {
              "title": "Origin asset link",
              "href": "s3://path/to/B01-asset"
            }
          }
        }
      }
    }
  ]
}
```


## Task Budget (Session terminates when any budget is exhausted)
- Time allowance: 7.5 minutes
- Tool calls allowance: 30 calls
- Max loop iterations: 40 turns

## Execution Environment Rules
- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)
- Command output limit: 5000 characters
- File view limit: 150 lines per read_file call
- File character limit: 10000 characters per read_file call
- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.

## Instructions:
0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.
1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.
2. Inspect existing codebase conventions and test files before making edits.
3. Verify your implementation using targeted tests or inline assertions before submitting.
4. Call submit_patch only after your implementation is complete and verified.
5. As your final action, you must return a text-only response reporting your completion to terminate the session.
## Workspace Layout
The repository is located at `/workspace`. Here is the directory tree (up to 3 levels):
```
./CHANGES.rst
./CODE_OF_CONDUCT.md
./CONTRIBUTING.rst
./LICENSE
./MANIFEST.in
./NOTICE
./README.rst
./charts
./charts/eodag-server
./charts/eodag-server/Chart.lock
./charts/eodag-server/Chart.yaml
./charts/eodag-server/README.md
./charts/eodag-server/templates
./charts/eodag-server/values.yaml
./docker
./docker-compose.yml
./docker/run-stac-server.sh
./docker/stac-browser.dockerfile
./docker/stac-server.dockerfile
./docs
./eodag
./eodag/__init__.py
./eodag/api
./eodag/api/__init__.py
./eodag/api/core.py
./eodag/api/product
./eodag/api/search_result.py
./eodag/cli.py
./eodag/config.py
./eodag/crunch.py
./eodag/plugins
./eodag/plugins/__init__.py
./eodag/plugins/apis
./eodag/plugins/authentication
./eodag/plugins/base.py
./eodag/plugins/crunch
./eodag/plugins/download
./eodag/plugins/manager.py
./eodag/plugins/search
./eodag/py.typed
./eodag/resources
./eodag/resources/ext_product_types.json
./eodag/resources/locations_conf_template.yml
./eodag/resources/product_types.yml
./eodag/resources/providers.yml
./eodag/resources/shp
./eodag/resources/stac.yml
./eodag/resources/stac_api.yml
./eodag/resources/stac_provider.yml
./eodag/resources/user_conf_template.yml
./eodag/rest
./eodag/rest/__init__.py
./eodag/rest/server.py
./eodag/rest/server.wsgi
./eodag/rest/stac.py
./eodag/rest/templates
./eodag/rest/utils.py
./eodag/utils
./eodag/utils/__init__.py
./eodag/utils/exceptions.py
./eodag/utils/import_system.py
./eodag/utils/logging.py
./eodag/utils/notebook.py
./eodag/utils/stac_reader.py
./get_pypi_latest_version.sh
./pyproject.toml
./pytest.ini
./readthedocs.yml
./requirements-dev.txt
./requirements-docs.txt
./requirements-tutorials.txt
./requirements.txt
./setup.cfg
./setup.py
./tests
./tox.ini
./utils
./utils/params_mapping_to_csv.py
./utils/product_types_information_to_csv.py
```
Turn 1at 29 s393 tokens out3,321 prompt tokens
The user wants to implement the "alternate assets" STAC extension in server mode for `eodag`.
Specifically, when serving STAC assets, the response should include both the `eodag-authenticated` link (the `href` under the asset) and the `origin` raw asset link (under `alternate.origin`).

Example requested structure:
```json
{
  "features": [
    {
      "id": "some-product",
      "assets": {
        "B01": {
          "title": "Download link",
          "href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01",
          "alternate": {
            "origin": {
              "title": "Origin asset link",
              "href": "s3://path/to/B01-asset"
            }
          }
        }
      }
    }
  ]
}
```

I need to find where the STAC API response is generated in server mode.
Looking at the workspace layout:
- `eodag/rest/stac.py` seems like a good place to start.
- `eodag/api/product` might also be involved.
- `eodag/rest/server.py` likely handles the routing.

Let's search for "assets" or "STAC" in `eodag/rest/stac.py` and other relevant files.
TOOL CALL · run_command
{
  "command": "grep -rn --include=\"*.py\" \"assets\" eodag/rest/stac.py eodag/rest/server.py eodag/api/product"
}
Result of run_command 2,101 characters
{
  "status": "ok",
  "stdout": "eodag/rest/stac.py:245:            product_dict[\"assets\"] = product.assets.as_dict()\neodag/rest/stac.py:256:            url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\neodag/rest/stac.py:268:            _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\neodag/rest/stac.py:274:                product_item[\"assets\"][\"downloadLink\"][\neodag/rest/stac.py:278:            # add origin assets to product assets\neodag/rest/stac.py:279:            origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\neodag/rest/stac.py:280:            if getattr(product, \"assets\", False):\neodag/rest/stac.py:282:                for asset_key, asset_value in origin_assets.items():\neodag/rest/stac.py:283:                    origin_assets[asset_key][\"href\"] = without_arg_url\neodag/rest/stac.py:285:                        origin_assets[asset_key][\neodag/rest/stac.py:289:                        origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\neodag/rest/stac.py:291:                product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\neodag/rest/stac.py:530:        product_dict[\"assets\"] = product.assets.as_dict()\neodag/api/product/_product.py:32:from eodag.api.product._assets import AssetsDict\neodag/api/product/_product.py:110:    assets: AssetsDict\neodag/api/product/_product.py:118:        self.assets = AssetsDict(self)\neodag/api/product/_product.py:205:            \"assets\": self.assets.as_dict(),\neodag/api/product/_product.py:240:        obj.assets = AssetsDict(obj, feature.get(\"assets\", {}))\neodag/api/product/_assets.py:28:    \"\"\"A UserDict object listing assets contained in a\neodag/api/product/_assets.py:51:        :returns: The representation of a :class:`~eodag.api.product._assets.AssetsDict`\neodag/api/product/_assets.py:59:    \"\"\"A UserDict object containg one of the assets of a\neodag/api/product/_assets.py:82:        :returns: The representation of a :class:`~eodag.api.product._assets.Asset` as a\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 393 tokens · stopped: STOP
<|channel>thought The user wants to implement the "alternate assets" STAC extension in server mode for `eodag`. Specifically, when serving STAC assets, the response should include both the `eodag-authenticated` link (the `href` under the asset) and the `origin` raw asset link (under `alternate.origin`). Example requested structure: ```json { "features": [ { "id": "some-product", "assets": { "B01": { "title": "Download link", "href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01", "alternate": { "origin": { "title": "Origin asset link", "href": "s3://path/to/B01-asset" } } } } } ] } ``` I need to find where the STAC API response is generated in server mode. Looking at the workspace layout: - `eodag/rest/stac.py` seems like a good place to start. - `eodag/api/product` might also be involved. - `eodag/rest/server.py` likely handles the routing. Let's search for "assets" or "STAC" in `eodag/rest/stac.py` and other relevant files.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "assets" eodag/rest/stac.py eodag/rest/server.py eodag/api/product<|"|>}<tool_call|><|tool_response>
Turn 2at 48 s276 tokens out4,469 prompt tokens
Okay, `eodag/rest/stac.py` seems to be the place where the STAC response is constructed.
Lines 245 and 530 call `product.assets.as_dict()`.
Lines 278-291 seem to be attempting to handle origin assets already, but maybe not in the way the "alternate assets" extension requires.

Wait, looking at `eodag/rest/stac.py:278-291`:
```python
            # add origin assets to product assets
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                for asset_key, asset_value in origin_assets.items():
                    origin_assets[asset_key]["href"] = without_arg_url
                    ...
```
This looks like it's doing something with `origin_assets` and putting them back into `assets`.

Let's examine `eodag/rest/stac.py` around those lines.
TOOL CALL · read_file
{
  "end_line": 300,
  "filepath": "eodag/rest/stac.py",
  "start_line": 230
}
Result of read_file 3,265 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "                    )\n\n        item_list: List[Dict[str, Any]] = []\n        for product in search_results:\n            # parse jsonpath\n            provider_dict = jsonpath_parse_dict_items(\n                provider_model,\n                {\n                    \"provider\": self.eodag_api.providers_config[\n                        product.provider\n                    ].__dict__\n                },\n            )\n\n            product_dict = deepcopy(product.__dict__)\n            product_dict[\"assets\"] = product.assets.as_dict()\n\n            product_item = jsonpath_parse_dict_items(\n                item_model,\n                {\n                    \"product\": product_dict,\n                    \"providers\": [provider_dict],\n                },\n            )\n\n            # parse download link\n            url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n            query_dict = parse_qs(url_parts.query)\n            without_arg_url = (\n                f\"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}\"\n                if url_parts.scheme\n                else f\"{url_parts.netloc}{url_parts.path}\"\n            )\n\n            # add provider to query-args\n            if self.provider:\n                query_dict.update(provider=[self.provider])\n            # add datacube query-string to query-args\n            _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\n            if _dc_qs:\n                query_dict.update(_dc_qs=_dc_qs)\n\n            # update download link with up-to-date query-args\n            if query_dict:\n                product_item[\"assets\"][\"downloadLink\"][\n                    \"href\"\n                ] = f\"{without_arg_url}?{urlencode(query_dict, doseq=True)}\"\n\n            # add origin assets to product assets\n            origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n            if getattr(product, \"assets\", False):\n                # replace origin asset urls with eodag-server ones\n                for asset_key, asset_value in origin_assets.items():\n                    origin_assets[asset_key][\"href\"] = without_arg_url\n                    if query_dict:\n                        origin_assets[asset_key][\n                            \"href\"\n                        ] += f\"/{asset_key}?{urlencode(query_dict, doseq=True)}\"\n                    else:\n                        origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\n\n                product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n\n            # apply conversion if needed\n            for prop_key, prop_val in need_conversion.items():\n                conv_func, conv_args = prop_val\n                # colon `:` in key breaks format() method, hide it\n                formatable_prop_key = prop_key.replace(\":\", \"\")\n                if conv_args is not None:\n                    product_item[\"properties\"][prop_key] = format_metadata(\n                        \"{%s#%s(%s)}\" % (formatable_prop_key, conv_func, conv_args),",
  "start_line": 230,
  "end_line": 300,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 276 tokens · stopped: STOP
Okay, `eodag/rest/stac.py` seems to be the place where the STAC response is constructed. Lines 245 and 530 call `product.assets.as_dict()`. Lines 278-291 seem to be attempting to handle origin assets already, but maybe not in the way the "alternate assets" extension requires. Wait, looking at `eodag/rest/stac.py:278-291`: ```python # add origin assets to product assets origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): for asset_key, asset_value in origin_assets.items(): origin_assets[asset_key]["href"] = without_arg_url ... ``` This looks like it's doing something with `origin_assets` and putting them back into `assets`. Let's examine `eodag/rest/stac.py` around those lines. <channel|><|tool_call>call:read_file{filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:230,end_line:300}<tool_call|><|tool_response>
Turn 3at 66 s301 tokens out5,632 prompt tokens
The code from line 278 to 291 is:
```python
            # add origin assets to product assets
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                # replace origin asset urls with eodag-server ones
                for asset_key, asset_value in origin_assets.items():
                    origin_assets[asset_key]["href"] = without_arg_url
                    if query_dict:
                        origin_assets[asset_key][
                            "href"
                        ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
                    else:
                        origin_assets[asset_key]["href"] += f"/{asset_key}"

                product_item["assets"] = dict(product_item["assets"], **origin_assets)
```

Wait, `product_item["assets"]` is coming from `jsonpath_parse_dict_items(item_model, ...)`.
The `item_model` probably defines how `product.assets.as_dict()` is mapped into the STAC Item assets.

Let's see what `product.assets.as_dict()` returns.
TOOL CALL · read_file
{
  "filepath": "eodag/api/product/_assets.py"
}
Result of read_file 3,731 characters
{
  "status": "ok",
  "filepath": "eodag/api/product/_assets.py",
  "content": "# -*- coding: utf-8 -*-\n# Copyright 2023, CS GROUP - France, https://www.csgroup.eu/\n#\n# This file is part of EODAG project\n#     https://www.github.com/CS-SI/EODAG\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nfrom __future__ import annotations\n\nfrom collections import UserDict\nfrom typing import TYPE_CHECKING, Any, Dict\n\nif TYPE_CHECKING:\n    from eodag.api.product import EOProduct\n\n\nclass AssetsDict(UserDict):\n    \"\"\"A UserDict object listing assets contained in a\n    :class:`~eodag.api.product._product.EOProduct` resulting from a search.\n\n    :param product: Product resulting from a search\n    :type product: :class:`~eodag.api.product._product.EOProduct`\n    :param args: (optional) Arguments used to init the dictionary\n    :type args: Any\n    :param kwargs: (optional) Additional named-arguments used to init the dictionary\n    :type kwargs: Any\n    \"\"\"\n\n    product: EOProduct\n\n    def __init__(self, product: EOProduct, *args: Any, **kwargs: Any) -> None:\n        self.product = product\n        super(AssetsDict, self).__init__(*args, **kwargs)\n\n    def __setitem__(self, key: str, value: Dict[str, Any]) -> None:\n        super().__setitem__(key, Asset(self.product, key, value))\n\n    def as_dict(self) -> Dict[str, Any]:\n        \"\"\"Builds a representation of AssetsDict to enable its serialization\n\n        :returns: The representation of a :class:`~eodag.api.product._assets.AssetsDict`\n                  as a Python dict\n        :rtype: dict\n        \"\"\"\n        return {k: v.as_dict() for k, v in self.data.items()}\n\n\nclass Asset(UserDict):\n    \"\"\"A UserDict object containg one of the assets of a\n    :class:`~eodag.api.product._product.EOProduct` resulting from a search.\n\n    :param product: Product resulting from a search\n    :type product: :class:`~eodag.api.product._product.EOProduct`\n    :param key: asset key\n    :type key: str\n    :param args: (optional) Arguments used to init the dictionary\n    :type args: Any\n    :param kwargs: (optional) Additional named-arguments used to init the dictionary\n    :type kwargs: Any\n    \"\"\"\n\n    product: EOProduct\n\n    def __init__(self, product: EOProduct, key: str, *args: Any, **kwargs: Any) -> None:\n        self.product = product\n        self.key = key\n        super(Asset, self).__init__(*args, **kwargs)\n\n    def as_dict(self) -> Dict[str, Any]:\n        \"\"\"Builds a representation of Asset to enable its serialization\n\n        :returns: The representation of a :class:`~eodag.api.product._assets.Asset` as a\n                  Python dict\n        :rtype: dict\n        \"\"\"\n        return self.data\n\n    def download(self, **kwargs: Any) -> str:\n        \"\"\"Downloads a single asset\n\n        :param kwargs: (optional) Additional named-arguments passed to `plugin.download()`\n        :type kwargs: Any\n        :returns: The absolute path to the downloaded product on the local filesystem\n        :rtype: str\n        \"\"\"\n        return self.product.download(asset=self.key, **kwargs)",
  "start_line": 1,
  "end_line": 96,
  "total_lines": 96,
  "is_truncated": false
}
Generated tokens 301 tokens · stopped: STOP
The code from line 278 to 291 is: ```python # add origin assets to product assets origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): # replace origin asset urls with eodag-server ones for asset_key, asset_value in origin_assets.items(): origin_assets[asset_key]["href"] = without_arg_url if query_dict: origin_assets[asset_key][ "href" ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}" else: origin_assets[asset_key]["href"] += f"/{asset_key}" product_item["assets"] = dict(product_item["assets"], **origin_assets) ``` Wait, `product_item["assets"]` is coming from `jsonpath_parse_dict_items(item_model, ...)`. The `item_model` probably defines how `product.assets.as_dict()` is mapped into the STAC Item assets. Let's see what `product.assets.as_dict()` returns.<channel|><|tool_call>call:read_file{filepath:<|"|>eodag/api/product/_assets.py<|"|>}<tool_call|><|tool_response>
Turn 4at 95 s507 tokens out7,058 prompt tokens
`AssetsDict.as_dict()` returns a dictionary where each value is `Asset.as_dict()`, which returns `self.data`.
So it's just a nested dictionary.

Now let's look at `eodag/rest/stac.py` again.
The code is doing:
```python
            # add origin assets to product assets
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                # replace origin asset urls with eodag-server ones
                for asset_key, asset_value in origin_assets.items():
                    origin_assets[asset_key]["href"] = without_arg_url
                    if query_dict:
                        origin_assets[asset_key][
                            "href"
                        ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
                    else:
                        origin_assets[asset_key]["href"] += f"/{asset_key}"

                product_item["assets"] = dict(product_item["assets"], **origin_assets)
```

This currently *overwrites* the assets with server-proxied links.
The goal is to have both the proxied link (as `href`) and the original link (as `alternate.origin.href`).

So, for each asset in `origin_assets`:
1. Save the current `href` of the asset as the `origin` link.
2. Set the `href` of the asset to the eodag-server proxied link.

Wait, `origin_assets` comes from `product_item["assets"].pop("origin_assets")`.
Where does `product_item["assets"]` come from?
It's from `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`.
And `product_dict["assets"] = product.assets.as_dict()`.

Let's see what `item_model` is in `eodag/rest/stac.py`.
TOOL CALL · read_file
{
  "end_line": 100,
  "filepath": "eodag/rest/stac.py",
  "start_line": 1
}
Result of read_file 3,252 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "# -*- coding: utf-8 -*-\n# Copyright 2018, CS Systemes d'Information, https://www.csgroup.eu/\n#\n# This file is part of EODAG project\n#     https://www.github.com/CS-SI/EODAG\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nfrom __future__ import annotations\n\nimport logging\nimport os\nfrom collections import defaultdict\nfrom datetime import datetime, timezone\nfrom typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, cast\nfrom urllib.parse import parse_qs, urlencode, urlparse\n\nimport dateutil.parser\nimport geojson\nimport shapefile\nfrom dateutil import tz\nfrom dateutil.relativedelta import relativedelta\nfrom shapely.geometry import shape\nfrom shapely.geometry.base import BaseGeometry\nfrom shapely.ops import unary_union\n\nfrom eodag.api.product.metadata_mapping import (\n    DEFAULT_METADATA_MAPPING,\n    format_metadata,\n    get_metadata_path,\n)\nfrom eodag.utils import (\n    deepcopy,\n    dict_items_recursive_apply,\n    format_dict_items,\n    jsonpath_parse_dict_items,\n    string_to_jsonpath,\n    update_nested_dict,\n    urljoin,\n)\nfrom eodag.utils.exceptions import (\n    NoMatchingProductType,\n    NotAvailableError,\n    ValidationError,\n)\n\nif TYPE_CHECKING:\n    from eodag.api.core import EODataAccessGateway\n    from eodag.api.product import EOProduct\n    from eodag.api.search_result import SearchResult\n\n\nlogger = logging.getLogger(\"eodag.rest.stac\")\n\nDEFAULT_MISSION_START_DATE = \"2015-01-01T00:00:00Z\"\nSTAC_CATALOGS_PREFIX = \"catalogs\"\n\n\nclass StacCommon:\n    \"\"\"Stac common object\n\n    :param url: Requested URL\n    :type url: str\n    :param stac_config: STAC configuration from stac.yml conf file\n    :type stac_config: dict\n    :param provider: (optional) Chosen provider\n    :type provider: str\n    :param eodag_api: EODAG python API instance\n    :type eodag_api: :class:`eodag.api.core.EODataAccessGateway`\n    :param root: (optional) API root\n    :type root: str\n    \"\"\"\n\n    def __init__(\n        self,\n        url: str,\n        stac_config: Dict[str, Any],\n        provider: Optional[str],\n        eodag_api: EODataAccessGateway,\n        root: str = \"/\",\n    ) -> None:\n        self.url = url.rstrip(\"/\") if len(url) > 1 else url\n        self.stac_config = stac_config\n        self.provider = provider\n        self.eodag_api = eodag_api\n        self.root = root.rstrip(\"/\") if len(root) > 1 else root\n\n        self.data: Dict[str, Any] = {}\n\n    def update_data(self, data: Dict[str, Any]) -> None:\n        \"\"\"Updates data using given input STAC dict data",
  "start_line": 1,
  "end_line": 100,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 507 tokens · stopped: STOP
`AssetsDict.as_dict()` returns a dictionary where each value is `Asset.as_dict()`, which returns `self.data`. So it's just a nested dictionary. Now let's look at `eodag/rest/stac.py` again. The code is doing: ```python # add origin assets to product assets origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): # replace origin asset urls with eodag-server ones for asset_key, asset_value in origin_assets.items(): origin_assets[asset_key]["href"] = without_arg_url if query_dict: origin_assets[asset_key][ "href" ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}" else: origin_assets[asset_key]["href"] += f"/{asset_key}" product_item["assets"] = dict(product_item["assets"], **origin_assets) ``` This currently *overwrites* the assets with server-proxied links. The goal is to have both the proxied link (as `href`) and the original link (as `alternate.origin.href`). So, for each asset in `origin_assets`: 1. Save the current `href` of the asset as the `origin` link. 2. Set the `href` of the asset to the eodag-server proxied link. Wait, `origin_assets` comes from `product_item["assets"].pop("origin_assets")`. Where does `product_item["assets"]` come from? It's from `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`. And `product_dict["assets"] = product.assets.as_dict()`. Let's see what `item_model` is in `eodag/rest/stac.py`. <channel|><|tool_call>call:read_file{end_line:100,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 5at 99 s70 tokens out8,619 prompt tokens
I need to find where `item_model` is defined. I'll search for `item_model` in `eodag/rest/stac.py`.
TOOL CALL · run_command
{
  "command": "grep -n \"item_model\" eodag/rest/stac.py"
}
Result of run_command 1,467 characters
{
  "status": "ok",
  "stdout": "213:        item_model = self.__filter_item_model_properties(\n220:        for k, v in item_model[\"properties\"].items():\n222:                conversion, item_model[\"properties\"][k] = get_metadata_path(\n223:                    item_model[\"properties\"][k]\n228:                    item_model[\"properties\"][k] = string_to_jsonpath(\n229:                        k, item_model[\"properties\"][k]\n248:                item_model,\n396:    def __filter_item_model_properties(\n397:        self, item_model: Dict[str, Any], product_type: str\n403:        :param item_model: Item model from stac_config\n404:        :type item_model: dict\n426:        result_item_model = deepcopy(item_model)\n427:        result_item_model[\"stac_extensions\"] = list(\n440:                v not in result_item_model[\"properties\"].values()\n443:                    k in str(prop) for prop in result_item_model[\"properties\"].values()\n446:                result_item_model[\"properties\"][\"oseo:\" + k] = string_to_jsonpath(k, v)\n450:            result_item_model[\"stac_extensions\"].remove(\n458:            if v in result_item_model[\"stac_extensions\"]\n460:        for k, v in item_model[\"properties\"].items():\n463:                result_item_model[\"properties\"].pop(k, None)\n465:        return result_item_model\n510:        item_model = self.__filter_item_model_properties(\n534:            item_model,\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 70 tokens · stopped: STOP
I need to find where `item_model` is defined. I'll search for `item_model` in `eodag/rest/stac.py`. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "item_model" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 6at 142 s837 tokens out9,189 prompt tokens
It seems `item_model` is derived from `self.stac_config` which is loaded from `stac.yml`.

Let's look at `eodag/rest/stac.py` again around lines 278-291.

```python
            # add origin assets to product assets
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                # replace origin asset urls with eodag-server ones
                for asset_key, asset_value in origin_assets.items():
                    origin_assets[asset_key]["href"] = without_arg_url
                    if query_dict:
                        origin_assets[asset_key][
                            "href"
                        ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
                    else:
                        origin_assets[asset_key]["href"] += f"/{asset_key}"

                product_item["assets"] = dict(product_item["assets"], **origin_assets)
```

If I change this to:
```python
            # add origin assets to product assets
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                # replace origin asset urls with eodag-server ones
                for asset_key, asset_value in origin_assets.items():
                    # Save original href
                    original_href = asset_value.get("href")
                    
                    # Set new eodag-server href
                    new_href = without_arg_url
                    if query_dict:
                        new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
                    else:
                        new_href += f"/{asset_key}"
                    
                    # Update asset with eodag-server href and origin href
                    origin_assets[asset_key]["href"] = new_href
                    if original_href:
                        origin_assets[asset_key]["alternate"] = {
                            "origin": {
                                "title": "Origin asset link",
                                "href": original_href
                            }
                        }

                product_item["assets"] = dict(product_item["assets"], **origin_assets)
```

Wait, `asset_value` is already `origin_assets[asset_key]`.

Let's re-examine the loop:
```python
                for asset_key, asset_value in origin_assets.items():
                    origin_assets[asset_key]["href"] = without_arg_url
                    if query_dict:
                        origin_assets[asset_key][
                            "href"
                        ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
                    else:
                        origin_assets[asset_key]["href"] += f"/{asset_key}"
```

The original `href` is in `asset_value["href"]`.
But it's being overwritten immediately by `origin_assets[asset_key]["href"] = without_arg_url`.

So I should store the original `href` first.

Wait, what about the `assets` and `origin_assets`?
In `product.assets.as_dict()`, we probably have the actual assets.
`item_model` is used to map these assets.

Let's see what `product.assets.as_dict()` returns for a typical product.
I'll try to find a test that exercises this.
`tests/` directory should have some tests.
TOOL CALL · run_command
{
  "command": "find tests -name \"*stac*\""
}
Result of run_command 231 characters
{
  "status": "ok",
  "stdout": "tests/resources/stac\ntests/resources/stac_singlefile.json\ntests/units/test_stac_reader.py\ntests/units/test_stac_utils.py\ntests/integration/test_search_stac_static.py\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 837 tokens · stopped: STOP
It seems `item_model` is derived from `self.stac_config` which is loaded from `stac.yml`. Let's look at `eodag/rest/stac.py` again around lines 278-291. ```python # add origin assets to product assets origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): # replace origin asset urls with eodag-server ones for asset_key, asset_value in origin_assets.items(): origin_assets[asset_key]["href"] = without_arg_url if query_dict: origin_assets[asset_key][ "href" ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}" else: origin_assets[asset_key]["href"] += f"/{asset_key}" product_item["assets"] = dict(product_item["assets"], **origin_assets) ``` If I change this to: ```python # add origin assets to product assets origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): # replace origin asset urls with eodag-server ones for asset_key, asset_value in origin_assets.items(): # Save original href original_href = asset_value.get("href") # Set new eodag-server href new_href = without_arg_url if query_dict: new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}" else: new_href += f"/{asset_key}" # Update asset with eodag-server href and origin href origin_assets[asset_key]["href"] = new_href if original_href: origin_assets[asset_key]["alternate"] = { "origin": { "title": "Origin asset link", "href": original_href } } product_item["assets"] = dict(product_item["assets"], **origin_assets) ``` Wait, `asset_value` is already `origin_assets[asset_key]`. Let's re-examine the loop: ```python for asset_key, asset_value in origin_assets.items(): origin_assets[asset_key]["href"] = without_arg_url if query_dict: origin_assets[asset_key][ "href" ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}" else: origin_assets[asset_key]["href"] += f"/{asset_key}" ``` The original `href` is in `asset_value["href"]`. But it's being overwritten immediately by `origin_assets[asset_key]["href"] = without_arg_url`. So I should store the original `href` first. Wait, what about the `assets` and `origin_assets`? In `product.assets.as_dict()`, we probably have the actual assets. `item_model` is used to map these assets. Let's see what `product.assets.as_dict()` returns for a typical product. I'll try to find a test that exercises this. `tests/` directory should have some tests. <channel|><|tool_call>call:run_command{command:<|"|>find tests -name "*stac*"<|"|>}<tool_call|><|tool_response>
Turn 7at 152 s154 tokens out10,129 prompt tokens
The `tests/` don't seem to have a direct test for `eodag/rest/stac.py`. Maybe it's tested via integration tests or I missed something.

Let's check `eodag/rest/stac.py` again for other places that generate assets.
Line 530: `product_dict["assets"] = product.assets.as_dict()`. This is in `get_item` or similar.
Let's check around line 530.
TOOL CALL · read_file
{
  "end_line": 550,
  "filepath": "eodag/rest/stac.py",
  "start_line": 510
}
Result of read_file 1,664 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "        item_model = self.__filter_item_model_properties(\n            self.stac_config[\"item\"], product_type\n        )\n        provider_model = deepcopy(self.stac_config[\"provider\"])\n\n        provider_dict = jsonpath_parse_dict_items(\n            provider_model,\n            {\"provider\": self.eodag_api.providers_config[product.provider].__dict__},\n        )\n\n        catalog = StacCatalog(\n            url=self.url.split(\"/items\")[0],\n            stac_config=self.stac_config,\n            root=self.root,\n            provider=self.provider,\n            eodag_api=self.eodag_api,\n            catalogs=[product_type],\n        )\n\n        product_dict = deepcopy(product.__dict__)\n        product_dict[\"assets\"] = product.assets.as_dict()\n\n        # parse jsonpath\n        product_item = jsonpath_parse_dict_items(\n            item_model,\n            {\n                \"product\": product_dict,\n                \"providers\": provider_dict,\n            },\n        )\n        # parse f-strings\n        format_args = deepcopy(self.stac_config)\n        format_args[\"catalog\"] = dict(\n            catalog.as_dict(), **{\"url\": catalog.url, \"root\": catalog.root}\n        )\n        format_args[\"item\"] = product_item\n        product_item = format_dict_items(product_item, **format_args)\n        product_item[\"bbox\"] = [float(i) for i in product_item[\"bbox\"]]\n\n        # remove empty properties\n        product_item = self.__filter_item_properties_values(product_item)",
  "start_line": 510,
  "end_line": 550,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 154 tokens · stopped: STOP
The `tests/` don't seem to have a direct test for `eodag/rest/stac.py`. Maybe it's tested via integration tests or I missed something. Let's check `eodag/rest/stac.py` again for other places that generate assets. Line 530: `product_dict["assets"] = product.assets.as_dict()`. This is in `get_item` or similar. Let's check around line 530. <channel|><|tool_call>call:read_file{end_line:550,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:510}<tool_call|><|tool_response>
Turn 8at 162 s120 tokens out10,794 prompt tokens
In this part (lines 510-550), it doesn't seem to do the `origin_assets` pop and update that we saw around line 278.

Wait, let's see if there's a call to a method that does this.
Line 530 is inside a method. Let's see which one.
TOOL CALL · read_file
{
  "end_line": 530,
  "filepath": "eodag/rest/stac.py",
  "start_line": 490
}
Result of read_file 1,671 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "            # feed found extensions list\n            elif (\n                extension_prefix in all_extensions_dict.keys()\n                and all_extensions_dict[extension_prefix] not in item[\"stac_extensions\"]\n            ):\n                # append path from item extensions\n                item[\"stac_extensions\"].append(all_extensions_dict[extension_prefix])\n\n        return item\n\n    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n        \"\"\"Build STAC item from EODAG product\n\n        :param product: EODAG product\n        :type product: :class:`eodag.api.product._product.EOProduct`\n        :returns: STAC item\n        :rtype: list\n        \"\"\"\n        product_type = str(product.product_type)\n\n        item_model = self.__filter_item_model_properties(\n            self.stac_config[\"item\"], product_type\n        )\n        provider_model = deepcopy(self.stac_config[\"provider\"])\n\n        provider_dict = jsonpath_parse_dict_items(\n            provider_model,\n            {\"provider\": self.eodag_api.providers_config[product.provider].__dict__},\n        )\n\n        catalog = StacCatalog(\n            url=self.url.split(\"/items\")[0],\n            stac_config=self.stac_config,\n            root=self.root,\n            provider=self.provider,\n            eodag_api=self.eodag_api,\n            catalogs=[product_type],\n        )\n\n        product_dict = deepcopy(product.__dict__)\n        product_dict[\"assets\"] = product.assets.as_dict()",
  "start_line": 490,
  "end_line": 530,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 120 tokens · stopped: STOP
In this part (lines 510-550), it doesn't seem to do the `origin_assets` pop and update that we saw around line 278. Wait, let's see if there's a call to a method that does this. Line 530 is inside a method. Let's see which one. <channel|><|tool_call>call:read_file{end_line:530,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:490}<tool_call|><|tool_response>
Turn 9at 167 s95 tokens out11,428 prompt tokens
Okay, so `get_stac_item_from_product` is another path. Let's see if it does the `origin_assets` thing.
I'll read more of `get_stac_item_from_product`.
TOOL CALL · read_file
{
  "end_line": 580,
  "filepath": "eodag/rest/stac.py",
  "start_line": 550
}
Result of read_file 1,055 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "        product_item = self.__filter_item_properties_values(product_item)\n\n        self.update_data(product_item)\n        return self.as_dict()\n\n\nclass StacCollection(StacCommon):\n    \"\"\"Stac collection object\n\n    :param url: Requested URL\n    :type url: str\n    :param stac_config: STAC configuration from stac.yml conf file\n    :type stac_config: dict\n    :param provider: (optional) Chosen provider\n    :type provider: str\n    :param eodag_api: EODAG python API instance\n    :type eodag_api: :class:`eodag.api.core.EODataAccessGateway`\n    :param root: (optional) API root\n    :type root: str\n    \"\"\"\n\n    def __init__(\n        self,\n        url: str,\n        stac_config: Dict[str, Any],\n        provider: Optional[str],\n        eodag_api: EODataAccessGateway,\n        root: str = \"/\",\n    ) -> None:\n        super(StacCollection, self).__init__(\n            url=url,",
  "start_line": 550,
  "end_line": 580,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 95 tokens · stopped: STOP
Okay, so `get_stac_item_from_product` is another path. Let's see if it does the `origin_assets` thing. I'll read more of `get_stac_item_from_product`. <channel|><|tool_call>call:read_file{end_line:580,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:550}<tool_call|><|tool_response>
Turn 10at 172 s97 tokens out11,892 prompt tokens
It doesn't seem to do the `origin_assets` pop and update here.

Wait, let's look at the code around line 245 again. This is likely in `get_stac_items_from_products` (plural).
TOOL CALL · read_file
{
  "end_line": 240,
  "filepath": "eodag/rest/stac.py",
  "start_line": 200
}
Result of read_file 1,848 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "    ) -> List[Dict[str, Any]]:\n        \"\"\"Build STAC items list from EODAG search results\n\n        :param search_results: EODAG search results\n        :type search_results: :class:`~eodag.api.search_result.SearchResult`\n        :param catalog: STAC catalog dict used for parsing item metadata\n        :type catalog: dict\n        :returns: STAC item dicts list\n        :rtype: list\n        \"\"\"\n        if len(search_results) <= 0:\n            return []\n\n        item_model = self.__filter_item_model_properties(\n            self.stac_config[\"item\"], str(search_results[0].product_type)\n        )\n        provider_model = deepcopy(self.stac_config[\"provider\"])\n\n        # check if some items need to be converted\n        need_conversion: Dict[str, Any] = {}\n        for k, v in item_model[\"properties\"].items():\n            if isinstance(v, str):\n                conversion, item_model[\"properties\"][k] = get_metadata_path(\n                    item_model[\"properties\"][k]\n                )\n                if conversion is not None:\n                    need_conversion[k] = conversion\n                    # convert str to jsonpath if needed\n                    item_model[\"properties\"][k] = string_to_jsonpath(\n                        k, item_model[\"properties\"][k]\n                    )\n\n        item_list: List[Dict[str, Any]] = []\n        for product in search_results:\n            # parse jsonpath\n            provider_dict = jsonpath_parse_dict_items(\n                provider_model,\n                {\n                    \"provider\": self.eodag_api.providers_config[\n                        product.provider\n                    ].__dict__",
  "start_line": 200,
  "end_line": 240,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 97 tokens · stopped: STOP
It doesn't seem to do the `origin_assets` pop and update here. Wait, let's look at the code around line 245 again. This is likely in `get_stac_items_from_products` (plural). <channel|><|tool_call>call:read_file{end_line:240,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:200}<tool_call|><|tool_response>
Turn 11at 196 s451 tokens out12,516 prompt tokens
Yes, the logic is in `get_stac_items_from_products` (around line 230-300).
But is it also needed in `get_stac_item_from_product` (singular)?

Let's re-read `get_stac_item_from_product`.
```python
    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:
        ...
        product_dict = deepcopy(product.__dict__)
        product_dict["assets"] = product.assets.as_dict()

        # parse jsonpath
        product_item = jsonpath_parse_dict_items(
            item_model,
            {
                "product": product_dict,
                "providers": provider_dict,
            },
        )
        ...
```

If `item_model` has `origin_assets` mapped to something in `product_dict["assets"]`, then `product_item["assets"]` will contain `origin_assets`.

Wait, if `get_stac_items_from_products` handles it, maybe there's a common method?
No, it looks like it's duplicated or only in the plural version.
Actually, `get_stac_item_from_product` does NOT have the `origin_assets` pop and update logic.

Let's check if `get_stac_item_from_product` should also have it.
If I call `get_stac_items_from_products([product])`, I get the assets updated.
If I call `get_stac_item_from_product(product)`, I get the assets without that update.
That seems inconsistent.

Wait, I should check if `get_stac_item_from_product` is used anywhere.
TOOL CALL · run_command
{
  "command": "grep -n \"get_stac_item_from_product\" eodag/rest/stac.py"
}
Result of run_command 145 characters
{
  "status": "ok",
  "stdout": "500:    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 451 tokens · stopped: STOP
Yes, the logic is in `get_stac_items_from_products` (around line 230-300). But is it also needed in `get_stac_item_from_product` (singular)? Let's re-read `get_stac_item_from_product`. ```python def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]: ... product_dict = deepcopy(product.__dict__) product_dict["assets"] = product.assets.as_dict() # parse jsonpath product_item = jsonpath_parse_dict_items( item_model, { "product": product_dict, "providers": provider_dict, }, ) ... ``` If `item_model` has `origin_assets` mapped to something in `product_dict["assets"]`, then `product_item["assets"]` will contain `origin_assets`. Wait, if `get_stac_items_from_products` handles it, maybe there's a common method? No, it looks like it's duplicated or only in the plural version. Actually, `get_stac_item_from_product` does NOT have the `origin_assets` pop and update logic. Let's check if `get_stac_item_from_product` should also have it. If I call `get_stac_items_from_products([product])`, I get the assets updated. If I call `get_stac_item_from_product(product)`, I get the assets without that update. That seems inconsistent. Wait, I should check if `get_stac_item_from_product` is used anywhere. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "get_stac_item_from_product" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 12at 204 s106 tokens out13,038 prompt tokens
It's only defined there. Let's see where `StacCommon` is used.
`StacItem` probably inherits from `StacCommon`?
Wait, I see `class StacCollection(StacCommon):` at line 564.

Let's see if there is a `StacItem` class.
TOOL CALL · run_command
{
  "command": "grep \"class StacItem\" eodag/rest/stac.py"
}
Result of run_command 89 characters
{
  "status": "ok",
  "stdout": "class StacItem(StacCommon):\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 106 tokens · stopped: STOP
It's only defined there. Let's see where `StacCommon` is used. `StacItem` probably inherits from `StacCommon`? Wait, I see `class StacCollection(StacCommon):` at line 564. Let's see if there is a `StacItem` class.<channel|><|tool_call>call:run_command{command:<|"|>grep "class StacItem" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 13at 206 s46 tokens out13,193 prompt tokens
Let's find `StacItem` definition.
TOOL CALL · run_command
{
  "command": "grep -n \"class StacItem\" eodag/rest/stac.py"
}
Result of run_command 93 characters
{
  "status": "ok",
  "stdout": "167:class StacItem(StacCommon):\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 46 tokens · stopped: STOP
Let's find `StacItem` definition. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "class StacItem" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 14at 209 s51 tokens out13,291 prompt tokens
Let's read `StacItem`.
TOOL CALL · read_file
{
  "end_line": 300,
  "filepath": "eodag/rest/stac.py",
  "start_line": 167
}
Result of read_file 5,557 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "class StacItem(StacCommon):\n    \"\"\"Stac item object\n\n    :param url: Requested URL\n    :type url: str\n    :param stac_config: STAC configuration from stac.yml conf file\n    :type stac_config: dict\n    :param provider: (optional) Chosen provider\n    :type provider: str\n    :param eodag_api: EODAG python API instance\n    :type eodag_api: :class:`eodag.api.core.EODataAccessGateway`\n    :param root: (optional) API root\n    :type root: str\n    \"\"\"\n\n    def __init__(\n        self,\n        url: str,\n        stac_config: Dict[str, Any],\n        provider: Optional[str],\n        eodag_api: EODataAccessGateway,\n        root: str = \"/\",\n    ) -> None:\n        super(StacItem, self).__init__(\n            url=url,\n            stac_config=stac_config,\n            provider=provider,\n            eodag_api=eodag_api,\n            root=root,\n        )\n\n    def __get_item_list(\n        self, search_results: SearchResult, catalog: Dict[str, Any]\n    ) -> List[Dict[str, Any]]:\n        \"\"\"Build STAC items list from EODAG search results\n\n        :param search_results: EODAG search results\n        :type search_results: :class:`~eodag.api.search_result.SearchResult`\n        :param catalog: STAC catalog dict used for parsing item metadata\n        :type catalog: dict\n        :returns: STAC item dicts list\n        :rtype: list\n        \"\"\"\n        if len(search_results) <= 0:\n            return []\n\n        item_model = self.__filter_item_model_properties(\n            self.stac_config[\"item\"], str(search_results[0].product_type)\n        )\n        provider_model = deepcopy(self.stac_config[\"provider\"])\n\n        # check if some items need to be converted\n        need_conversion: Dict[str, Any] = {}\n        for k, v in item_model[\"properties\"].items():\n            if isinstance(v, str):\n                conversion, item_model[\"properties\"][k] = get_metadata_path(\n                    item_model[\"properties\"][k]\n                )\n                if conversion is not None:\n                    need_conversion[k] = conversion\n                    # convert str to jsonpath if needed\n                    item_model[\"properties\"][k] = string_to_jsonpath(\n                        k, item_model[\"properties\"][k]\n                    )\n\n        item_list: List[Dict[str, Any]] = []\n        for product in search_results:\n            # parse jsonpath\n            provider_dict = jsonpath_parse_dict_items(\n                provider_model,\n                {\n                    \"provider\": self.eodag_api.providers_config[\n                        product.provider\n                    ].__dict__\n                },\n            )\n\n            product_dict = deepcopy(product.__dict__)\n            product_dict[\"assets\"] = product.assets.as_dict()\n\n            product_item = jsonpath_parse_dict_items(\n                item_model,\n                {\n                    \"product\": product_dict,\n                    \"providers\": [provider_dict],\n                },\n            )\n\n            # parse download link\n            url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n            query_dict = parse_qs(url_parts.query)\n            without_arg_url = (\n                f\"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}\"\n                if url_parts.scheme\n                else f\"{url_parts.netloc}{url_parts.path}\"\n            )\n\n            # add provider to query-args\n            if self.provider:\n                query_dict.update(provider=[self.provider])\n            # add datacube query-string to query-args\n            _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\n            if _dc_qs:\n                query_dict.update(_dc_qs=_dc_qs)\n\n            # update download link with up-to-date query-args\n            if query_dict:\n                product_item[\"assets\"][\"downloadLink\"][\n                    \"href\"\n                ] = f\"{without_arg_url}?{urlencode(query_dict, doseq=True)}\"\n\n            # add origin assets to product assets\n            origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n            if getattr(product, \"assets\", False):\n                # replace origin asset urls with eodag-server ones\n                for asset_key, asset_value in origin_assets.items():\n                    origin_assets[asset_key][\"href\"] = without_arg_url\n                    if query_dict:\n                        origin_assets[asset_key][\n                            \"href\"\n                        ] += f\"/{asset_key}?{urlencode(query_dict, doseq=True)}\"\n                    else:\n                        origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\n\n                product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n\n            # apply conversion if needed\n            for prop_key, prop_val in need_conversion.items():\n                conv_func, conv_args = prop_val\n                # colon `:` in key breaks format() method, hide it\n                formatable_prop_key = prop_key.replace(\":\", \"\")\n                if conv_args is not None:\n                    product_item[\"properties\"][prop_key] = format_metadata(\n                        \"{%s#%s(%s)}\" % (formatable_prop_key, conv_func, conv_args),",
  "start_line": 167,
  "end_line": 300,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 51 tokens · stopped: STOP
Let's read `StacItem`. <channel|><|tool_call>call:read_file{end_line:300,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:167}<tool_call|><|tool_response>
Turn 15at 228 s319 tokens out14,904 prompt tokens
The method is actually `__get_item_list` (line 188).

Wait, this `__get_item_list` is what's called by `get_items` probably.

Let's see what `get_stac_item_from_product` is doing again.
```python
    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:
        ...
        product_dict = deepcopy(product.__dict__)
        product_dict["assets"] = product.assets.as_dict()

        # parse jsonpath
        product_item = jsonpath_parse_dict_items(
            item_model,
            {
                "product": product_dict,
                "providers": provider_dict,
            },
        )
        ...
```

It's missing the asset update logic!
The asset update logic is duplicated in `__get_item_list`.

Wait, is `get_stac_item_from_product` used in `RestStac`?
`eodag/rest/stac.py` should be defining the API endpoints.

Let's search for `get_stac_item_from_product` calls.
TOOL CALL · run_command
{
  "command": "grep -n \"get_stac_item_from_product\" eodag/rest/stac.py"
}
Result of run_command 145 characters
{
  "status": "ok",
  "stdout": "500:    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 319 tokens · stopped: STOP
The method is actually `__get_item_list` (line 188). Wait, this `__get_item_list` is what's called by `get_items` probably. Let's see what `get_stac_item_from_product` is doing again. ```python def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]: ... product_dict = deepcopy(product.__dict__) product_dict["assets"] = product.assets.as_dict() # parse jsonpath product_item = jsonpath_parse_dict_items( item_model, { "product": product_dict, "providers": provider_dict, }, ) ... ``` It's missing the asset update logic! The asset update logic is duplicated in `__get_item_list`. Wait, is `get_stac_item_from_product` used in `RestStac`? `eodag/rest/stac.py` should be defining the API endpoints. Let's search for `get_stac_item_from_product` calls.<channel|><|tool_call>call:run_command{command:<|"|>grep -n "get_stac_item_from_product" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 16at 300 s105 tokens out4,512 prompt tokens
Wait, `get_stac_item_from_product` is a method of `RestStac` (or `StacItem`? No, it's likely `RestStac`).

Let's see the class definition of `get_stac_item_from_product`.
TOOL CALL · read_file
{
  "end_line": 550,
  "filepath": "eodag/rest/stac.py",
  "start_line": 480
}
Result of read_file 2,818 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "            all_extensions_dict, **{\"catalog\": {\"root\": self.root}}\n        )\n\n        item[\"stac_extensions\"] = []\n        # dict to list of keys to permit pop() while iterating\n        for k in list(item[\"properties\"]):\n            extension_prefix: str = k.split(\":\")[0]\n\n            if item[\"properties\"][k] is None:\n                item[\"properties\"].pop(k, None)\n            # feed found extensions list\n            elif (\n                extension_prefix in all_extensions_dict.keys()\n                and all_extensions_dict[extension_prefix] not in item[\"stac_extensions\"]\n            ):\n                # append path from item extensions\n                item[\"stac_extensions\"].append(all_extensions_dict[extension_prefix])\n\n        return item\n\n    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n        \"\"\"Build STAC item from EODAG product\n\n        :param product: EODAG product\n        :type product: :class:`eodag.api.product._product.EOProduct`\n        :returns: STAC item\n        :rtype: list\n        \"\"\"\n        product_type = str(product.product_type)\n\n        item_model = self.__filter_item_model_properties(\n            self.stac_config[\"item\"], product_type\n        )\n        provider_model = deepcopy(self.stac_config[\"provider\"])\n\n        provider_dict = jsonpath_parse_dict_items(\n            provider_model,\n            {\"provider\": self.eodag_api.providers_config[product.provider].__dict__},\n        )\n\n        catalog = StacCatalog(\n            url=self.url.split(\"/items\")[0],\n            stac_config=self.stac_config,\n            root=self.root,\n            provider=self.provider,\n            eodag_api=self.eodag_api,\n            catalogs=[product_type],\n        )\n\n        product_dict = deepcopy(product.__dict__)\n        product_dict[\"assets\"] = product.assets.as_dict()\n\n        # parse jsonpath\n        product_item = jsonpath_parse_dict_items(\n            item_model,\n            {\n                \"product\": product_dict,\n                \"providers\": provider_dict,\n            },\n        )\n        # parse f-strings\n        format_args = deepcopy(self.stac_config)\n        format_args[\"catalog\"] = dict(\n            catalog.as_dict(), **{\"url\": catalog.url, \"root\": catalog.root}\n        )\n        format_args[\"item\"] = product_item\n        product_item = format_dict_items(product_item, **format_args)\n        product_item[\"bbox\"] = [float(i) for i in product_item[\"bbox\"]]\n\n        # remove empty properties\n        product_item = self.__filter_item_properties_values(product_item)",
  "start_line": 480,
  "end_line": 550,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 105 tokens · stopped: STOP
Wait, `get_stac_item_from_product` is a method of `RestStac` (or `StacItem`? No, it's likely `RestStac`). Let's see the class definition of `get_stac_item_from_product`. <channel|><|tool_call>call:read_file{end_line:550,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:480}<tool_call|><|tool_response>
Turn 17at 427 s1,651 tokens out5,452 prompt tokens
So `get_stac_item_from_product` is in `RestStac` class.

`StacItem.__get_item_list` (lines 188-300) has the asset logic.
`RestStac.get_stac_item_from_product` (lines 500-550) DOES NOT have it.

And the core of the logic in `__get_item_list` is:
```python
            # add origin assets to product assets
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                # replace origin asset urls with eodag-server ones
                for asset_key, asset_value in origin_assets.items():
                    origin_assets[asset_key]["href"] = without_arg_url
                    if query_dict:
                        origin_assets[asset_key][
                            "href"
                        ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
                    else:
                        origin_assets[asset_key]["href"] += f"/{asset_key}"

                product_item["assets"] = dict(product_item["assets"], **origin_assets)
```

Wait, if I want to implement "alternate assets" extension:
The goal is:
1. `href` should be the eodag-server proxied link.
2. `alternate.origin.href` should be the original raw asset link.

But wait, where does the "original raw asset link" come from?
In `__get_item_list`, `origin_assets` comes from `product_item["assets"].pop("origin_assets")`.
`product_item` is the result of `jsonpath_parse_dict_items(item_model, ...)` where `item_model` comes from `stac_config["item"]`.
And `product_dict["assets"] = product.assets.as_dict()` was passed in.

Let's see what `product.assets.as_dict()` contains.
Usually `EOProduct.assets` contains the actual URLs.

In `__get_item_list`, the code does:
```python
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                # replace origin asset urls with eodag-server ones
                for asset_key, asset_value in origin_assets.items():
                    origin_assets[asset_key]["href"] = without_arg_url
                    ...
                product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
Wait, `origin_assets` is already in `product_item["assets"]`?
Actually, `product_item` is constructed from `item_model` and `product_dict`.
If `item_model` has something that puts `product.assets` into `origin_assets`, then `product_item["assets"]["origin_assets"]` will exist.

Let's look at `__get_item_list` again.
```python
            product_dict = deepcopy(product.__dict__)
            product_dict["assets"] = product.assets.as_dict()

            product_item = jsonpath_parse_dict_items(
                item_model,
                {
                    "product": product_dict,
                    "providers": [provider_dict],
                },
            )
```
If `item_model` maps `$.product.assets` to the `assets.origin_assets` part of the STAC item, then `product_item["assets"]["origin_assets"]` will contain the original hrefs.

Wait, if the code does `origin_assets = product_item["assets"].pop("origin_assets")`, then it takes those original hrefs and REPLACES them with proxied ones.

So to keep the original, we should do:
```python
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                for asset_key, asset_value in origin_assets.items():
                    original_href = asset_value.get("href")
                    # Set the proxied href
                    asset_value["href"] = without_arg_url
                    if query_dict:
                        asset_value["href"] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
                    else:
                        asset_value["href"] += f"/{asset_key}"
                    # Add original href as alternate
                    if original_href:
                        asset_value["alternate"] = {
                            "origin": {
                                "href": original_href,
                                "title": "Origin asset link",
                            }
                        }

                product_item["assets"] = dict(product_item["assets"], **origin_assets)
```

Wait, are there other places where this is done?
`StacItem.__get_item_list` and `RestStac.get_stac_item_from_product`.
The second one is currently MISSING the logic of processing `origin_assets` entirely! Or is it?

Let's re-examine `RestStac.get_stac_item_from_product`:
```python
        product_dict = deepcopy(product.__dict__)
        product_dict["assets"] = product.assets.as_dict()

        # parse jsonpath
        product_item = jsonpath_parse_dict_items(
            item_model,
            {
                "product": product_dict,
                "providers": provider_dict,
            },
        )
        # parse f-strings
        format_args = deepcopy(self.stac_config)
        ...
        product_item = format_dict_items(product_item, **format_args)
```
Indeed, it's missing the `origin_assets` pop and update logic that `StacItem.__get_item_list` has.
This is a bug (inconsistency) mentioned in the context.

So I should extract this logic into a helper method.

Where should the helper method be?
`StacItem` and `RestStac` are both in `eodag/rest/stac.py`.
`StacItem` seems to be a helper class for STAC items.
Actually `RestStac` is the main class.

Let's see where `StacItem` is used.
It is used in `RestStac.get_items`.

Wait, if I look at `eodag/rest/stac.py` again, `StacItem` seems to be a class that handles the logic of building the item list.

Actually, looking at `StacItem.__get_item_list`, it takes `search_results` (which is a list of `EOProduct`) and returns a list of dicts.

Let's see `RestStac.get_items` (which probably calls `StacItem.__get_item_list`).
Wait, I don't see `get_items` call to `StacItem`. Let me check.
TOOL CALL · run_command
{
  "command": "grep -n \"get_items\" eodag/rest/stac.py"
}
Result of run_command 127 characters
{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "",
  "details": {
    "stdout": "",
    "stderr": "",
    "exit_code": 1
  }
}
Generated tokens 1,651 tokens · stopped: STOP
So `get_stac_item_from_product` is in `RestStac` class. `StacItem.__get_item_list` (lines 188-300) has the asset logic. `RestStac.get_stac_item_from_product` (lines 500-550) DOES NOT have it. And the core of the logic in `__get_item_list` is: ```python # add origin assets to product assets origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): # replace origin asset urls with eodag-server ones for asset_key, asset_value in origin_assets.items(): origin_assets[asset_key]["href"] = without_arg_url if query_dict: origin_assets[asset_key][ "href" ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}" else: origin_assets[asset_key]["href"] += f"/{asset_key}" product_item["assets"] = dict(product_item["assets"], **origin_assets) ``` Wait, if I want to implement "alternate assets" extension: The goal is: 1. `href` should be the eodag-server proxied link. 2. `alternate.origin.href` should be the original raw asset link. But wait, where does the "original raw asset link" come from? In `__get_item_list`, `origin_assets` comes from `product_item["assets"].pop("origin_assets")`. `product_item` is the result of `jsonpath_parse_dict_items(item_model, ...)` where `item_model` comes from `stac_config["item"]`. And `product_dict["assets"] = product.assets.as_dict()` was passed in. Let's see what `product.assets.as_dict()` contains. Usually `EOProduct.assets` contains the actual URLs. In `__get_item_list`, the code does: ```python origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): # replace origin asset urls with eodag-server ones for asset_key, asset_value in origin_assets.items(): origin_assets[asset_key]["href"] = without_arg_url ... product_item["assets"] = dict(product_item["assets"], **origin_assets) ``` Wait, `origin_assets` is already in `product_item["assets"]`? Actually, `product_item` is constructed from `item_model` and `product_dict`. If `item_model` has something that puts `product.assets` into `origin_assets`, then `product_item["assets"]["origin_assets"]` will exist. Let's look at `__get_item_list` again. ```python product_dict = deepcopy(product.__dict__) product_dict["assets"] = product.assets.as_dict() product_item = jsonpath_parse_dict_items( item_model, { "product": product_dict, "providers": [provider_dict], }, ) ``` If `item_model` maps `$.product.assets` to the `assets.origin_assets` part of the STAC item, then `product_item["assets"]["origin_assets"]` will contain the original hrefs. Wait, if the code does `origin_assets = product_item["assets"].pop("origin_assets")`, then it takes those original hrefs and REPLACES them with proxied ones. So to keep the original, we should do: ```python origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): for asset_key, asset_value in origin_assets.items(): original_href = asset_value.get("href") # Set the proxied href asset_value["href"] = without_arg_url if query_dict: asset_value["href"] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}" else: asset_value["href"] += f"/{asset_key}" # Add original href as alternate if original_href: asset_value["alternate"] = { "origin": { "href": original_href, "title": "Origin asset link", } } product_item["assets"] = dict(product_item["assets"], **origin_assets) ``` Wait, are there other places where this is done? `StacItem.__get_item_list` and `RestStac.get_stac_item_from_product`. The second one is currently MISSING the logic of processing `origin_assets` entirely! Or is it? Let's re-examine `RestStac.get_stac_item_from_product`: ```python product_dict = deepcopy(product.__dict__) product_dict["assets"] = product.assets.as_dict() # parse jsonpath product_item = jsonpath_parse_dict_items( item_model, { "product": product_dict, "providers": provider_dict, }, ) # parse f-strings format_args = deepcopy(self.stac_config) ... product_item = format_dict_items(product_item, **format_args) ``` Indeed, it's missing the `origin_assets` pop and update logic that `StacItem.__get_item_list` has. This is a bug (inconsistency) mentioned in the context. So I should extract this logic into a helper method. Where should the helper method be? `StacItem` and `RestStac` are both in `eodag/rest/stac.py`. `StacItem` seems to be a helper class for STAC items. Actually `RestStac` is the main class. Let's see where `StacItem` is used. It is used in `RestStac.get_items`. Wait, if I look at `eodag/rest/stac.py` again, `StacItem` seems to be a class that handles the logic of building the item list. Actually, looking at `StacItem.__get_item_list`, it takes `search_results` (which is a list of `EOProduct`) and returns a list of dicts. Let's see `RestStac.get_items` (which probably calls `StacItem.__get_item_list`). Wait, I don't see `get_items` call to `StacItem`. Let me check. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "get_items" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 18at 436 s97 tokens out7,158 prompt tokens
Wait, if `get_items` is not in `eodag/rest/stac.py`, where is it?
Let's look at the file again.
Ah, I might have missed it. Let's list methods of `RestStac`.
TOOL CALL · run_command
{
  "command": "grep \"def \" eodag/rest/stac.py | grep \"RestStac\" -B 1"
}
Result of run_command 127 characters
{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "",
  "details": {
    "stdout": "",
    "stderr": "",
    "exit_code": 1
  }
}
Generated tokens 97 tokens · stopped: STOP
Wait, if `get_items` is not in `eodag/rest/stac.py`, where is it? Let's look at the file again. Ah, I might have missed it. Let's list methods of `RestStac`.<channel|><|tool_call>call:run_command{command:<|"|>grep "def " eodag/rest/stac.py | grep "RestStac" -B 1<|"|>}<tool_call|><|tool_response>
Turn 19at 441 s48 tokens out7,311 prompt tokens
I probably messed up the grep. Let's just look at the file.
TOOL CALL · run_command
{
  "command": "grep \"class RestStac\" eodag/rest/stac.py"
}
Result of run_command 127 characters
{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "",
  "details": {
    "stdout": "",
    "stderr": "",
    "exit_code": 1
  }
}
Generated tokens 48 tokens · stopped: STOP
I probably messed up the grep. Let's just look at the file.<channel|><|tool_call>call:run_command{command:<|"|>grep "class RestStac" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 20at 448 s58 tokens out7,415 prompt tokens
Wait, is it `StacAPI`? Or something else?
Let's look for the class that implements the REST API.
TOOL CALL · run_command
{
  "command": "grep \"class \" eodag/rest/stac.py"
}
Result of run_command 289 characters
{
  "status": "ok",
  "stdout": "class StacCommon:\nclass StacItem(StacCommon):\nclass StacCollection(StacCommon):\nclass StacCatalog(StacCommon):\n",
  "stderr": "",
  "exit_code": 0,
  "budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}
Generated tokens 58 tokens · stopped: STOP
Wait, is it `StacAPI`? Or something else? Let's look for the class that implements the REST API. <channel|><|tool_call>call:run_command{command:<|"|>grep "class " eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>

Patch, tests and logs

Final code change Included
Test output Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Test errors Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Test report (JUnit) Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Agent log Included
  [   0.0s] 📋 System Prompt: You are a principal Python software engineer resolving a repository issue in `/workspace`.
  [   0.0s] 🎯 Task Prompt: You are evaluating a software engineering task for repository CS-SI/eodag.
  [  24.6s] 💭 (1099 chars) "The user wants to implement the "alternate assets" STAC extension in server mode for 
`eodag`.
Specifically, when serving..."
  [  24.6s] 🔧 run_command grep -rn --include="*.py" "assets" eodag/rest/stac.py eodag/rest/server.py eodag
  [  24.7s]   → eodag/rest/stac.py:245:            product_dict["assets"] = product.assets.as_dict()
  [  43.7s] 💭 (825 chars) "Okay, `eodag/rest/stac.py` seems to be the place where the STAC response is constructed.
Lines 245 and 530 call `product..."
  [  43.7s] 📖 read_file (eodag/rest/stac.py)
  [  43.7s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '                    )\n\n        
item_list: List[Dict[str…
  [  61.4s] 💭 (1064 chars) "The code from line 278 to 291 is:
```python
            # add origin assets to product assets
            origin_assets ..."
  [  61.4s] 📖 read_file (eodag/api/product/_assets.py)
  [  61.4s]   ✓ {'status': 'ok', 'filepath': 'eodag/api/product/_assets.py', 'content': '# -*- coding: utf-8 -*-\n# 
Copyright 2023, CS G…
  [  90.4s] 💭 (1683 chars) "`AssetsDict.as_dict()` returns a dictionary where each value is `Asset.as_dict()`, which 
returns `self.data`.
So it's ju..."
  [  90.4s] 📖 read_file (eodag/rest/stac.py)
  [  90.5s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '# -*- coding: utf-8 -*-\n# Copyright 
2018, CS Systemes d\…
  [  95.2s] 💭 (99 chars) "I need to find where `item_model` is defined. I'll search for `item_model` in 
`eodag/rest/stac.py`."
  [  95.2s] 🔧 run_command grep -n "item_model" eodag/rest/stac.py
  [  95.3s]   → 213:        item_model = self.__filter_item_model_properties(
  [ 138.1s] 💭 (3323 chars) "It seems `item_model` is derived from `self.stac_config` which is loaded from `stac.yml`.

Let's look at `eodag/rest/sta..."
  [ 138.1s] 🔧 run_command find tests -name "*stac*"
  [ 138.2s]   → tests/resources/stac
  [ 148.0s] 💭 (339 chars) "The `tests/` don't seem to have a direct test for `eodag/rest/stac.py`. Maybe it's tested 
via integration tests or I mis..."
  [ 148.0s] 📖 read_file (eodag/rest/stac.py)
  [ 148.1s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '        item_model = 
self.__filter_item_model_properties(…
  [ 157.8s] 💭 (228 chars) "In this part (lines 510-550), it doesn't seem to do the `origin_assets` pop and update that 
we saw around line 278.

Wai..."
  [ 157.8s] 📖 read_file (eodag/rest/stac.py)
  [ 157.8s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '            # feed found extensions 
list\n            eli…
  [ 162.6s] 💭 (150 chars) "Okay, so `get_stac_item_from_product` is another path. Let's see if it does the 
`origin_assets` thing.
I'll read more of..."
  [ 162.6s] 📖 read_file (eodag/rest/stac.py)
  [ 162.7s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '        product_item = 
self.__filter_item_properties_valu…
  [ 167.6s] 💭 (174 chars) "It doesn't seem to do the `origin_assets` pop and update here.

Wait, let's look at the code around line 245 again. This..."
  [ 167.6s] 📖 read_file (eodag/rest/stac.py)
  [ 167.6s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '    ) -> List[Dict[str, Any]]:\n        
"""Build STAC ite…
  [ 191.9s] 💭 (1354 chars) "Yes, the logic is in `get_stac_items_from_products` (around line 230-300).
But is it also needed in `get_stac_item_from_..."
  [ 191.9s] 🔧 run_command grep -n "get_stac_item_from_product" eodag/rest/stac.py
  [ 192.0s]   → 500:    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:
  [ 199.4s] 💭 (214 chars) "It's only defined there. Let's see where `StacCommon` is used.
`StacItem` probably inherits from `StacCommon`?
Wait, I s..."
  [ 199.4s] 🔧 run_command grep "class StacItem" eodag/rest/stac.py
  [ 199.5s]   → class StacItem(StacCommon):
  [ 201.5s] 💭 (33 chars) "Let's find `StacItem` definition."
  [ 201.5s] 🔧 run_command grep -n "class StacItem" eodag/rest/stac.py
  [ 201.6s]   → 167:class StacItem(StacCommon):
  [ 204.8s] 💭 (22 chars) "Let's read `StacItem`."
  [ 204.8s] 📖 read_file (eodag/rest/stac.py)
  [ 204.9s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': 'class StacItem(StacCommon):\n    """Stac 
item object\n\n …
  [ 223.9s] 💭 (904 chars) "The method is actually `__get_item_list` (line 188).

Wait, this `__get_item_list` is what's called by `get_items` proba..."
  [ 223.9s] 🔧 run_command grep -n "get_stac_item_from_product" eodag/rest/stac.py
  [ 223.9s]   → 500:    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:
  [ 295.7s] 💭 (170 chars) "Wait, `get_stac_item_from_product` is a method of `RestStac` (or `StacItem`? No, it's likely
`RestStac`).

Let's see the..."
  [ 295.7s] 📖 read_file (eodag/rest/stac.py)
  [ 295.7s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '            all_extensions_dict, 
**{"catalog": {"root": s…
  [ 422.4s] 💭 (5920 chars) "So `get_stac_item_from_product` is in `RestStac` class.

`StacItem.__get_item_list` (lines 188-300) has the asset logic...."
  [ 422.4s] 🔧 run_command grep -n "get_items" eodag/rest/stac.py
  [ 422.4s]   → error (exit 0): 
  [ 431.7s] 💭 (157 chars) "Wait, if `get_items` is not in `eodag/rest/stac.py`, where is it?
Let's look at the file again.
Ah, I might have missed ..."
  [ 431.7s] 🔧 run_command grep "def " eodag/rest/stac.py | grep "RestStac" -B 1
  [ 431.8s]   → error (exit 0): 
  [ 436.8s] 💭 (59 chars) "I probably messed up the grep. Let's just look at the file."
  [ 436.8s] 🔧 run_command grep "class RestStac" eodag/rest/stac.py
  [ 436.8s]   → error (exit 0): 
  [ 444.0s] 💭 (96 chars) "Wait, is it `StacAPI`? Or something else?
Let's look for the class that implements the REST API."
  [ 444.0s] 🔧 run_command grep "class " eodag/rest/stac.py
  [ 444.0s]   → class StacCommon:
Native result row
{
  "agent_error": "Agent exceeded session timeout (7.5 min)",
  "duration_seconds": 456.53,
  "error": "Empty agent patch",
  "grade": {
    "error": "Empty agent patch",
    "resolved": false,
    "strict_clean_patch": false,
    "test_exit_code": -1
  },
  "instance_id": "cs-si__eodag-961",
  "pass_idx": 0,
  "patch_chars": 0,
  "phase1_seconds": 456.53,
  "repo": "CS-SI/eodag",
  "request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/cs-si__eodag-961__p0__r6.jsonl",
  "resolved": false,
  "rollout_idx": 6,
  "run_key": "cs-si__eodag-961__p0__r6",
  "strict_clean_patch": false,
  "tool_calls": 20,
  "total_llm_calls": 20,
  "trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_cs-si__eodag-961__p0__r6.json"
}