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ROLLOUT 5 · CS-SI/eodag

cs-si__eodag-961

Not solved
466 stotal time
15tool calls
15model calls
4,549tokens generated
136,870prompt tokens read

Empty agent patch

Turn by turn

Token shading: p ≥ 0.9 0.5 – 0.9 0.2 – 0.5 below 0.2. Hover a token for its id and probability.

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 34 s331 tokens out3,321 prompt tokens
The goal is to modify the server mode of `eodag` to provide both the authenticated download link and the origin raw asset link (using the STAC Alternate Assets extension) when generating STAC assets in server mode.

The problem statement provides a JSON example:
```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 response is generated in the server mode.
Looking at the Workspace Layout, `eodag/rest/stac.py` seems like the most likely place where STAC items are constructed for the server.

Let's start by searching for "assets" and "href" in `eodag/rest/stac.py` to see how assets are currently handled.
TOOL CALL · run_command
{
  "command": "grep -rn --include=\"stac.py\" \"assets\" eodag/rest/"
}
Result of run_command 1,275 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()\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 331 tokens · stopped: STOP
<|channel>thought The goal is to modify the server mode of `eodag` to provide both the authenticated download link and the origin raw asset link (using the STAC Alternate Assets extension) when generating STAC assets in server mode. The problem statement provides a JSON example: ```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 response is generated in the server mode. Looking at the Workspace Layout, `eodag/rest/stac.py` seems like the most likely place where STAC items are constructed for the server. Let's start by searching for "assets" and "href" in `eodag/rest/stac.py` to see how assets are currently handled.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="stac.py" "assets" eodag/rest/<|"|>}<tool_call|><|tool_response>
Turn 2at 48 s181 tokens out4,122 prompt tokens
Okay, `eodag/rest/stac.py` definitely seems to be the place.
Lines 245, 256, 268, 274, 278, 279, 280, 282, 283, 285, 289, 291, 530 refer to assets.

Let's examine the code around these lines. I'll read `eodag/rest/stac.py` around line 240 to 300 and 520 to 540.
TOOL CALL · read_file
{
  "end_line": 300,
  "filepath": "eodag/rest/stac.py",
  "start_line": 240
}
Result of read_file 2,906 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "                    ].__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": 240,
  "end_line": 300,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 181 tokens · stopped: STOP
Okay, `eodag/rest/stac.py` definitely seems to be the place. Lines 245, 256, 268, 274, 278, 279, 280, 282, 283, 285, 289, 291, 530 refer to assets. Let's examine the code around these lines. I'll read `eodag/rest/stac.py` around line 240 to 300 and 520 to 540.<channel|><|tool_call>call:read_file{end_line:300,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:240}<tool_call|><|tool_response>
Turn 3at 90 s644 tokens out5,106 prompt tokens
Looking at the code:
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)
```
It seems that `origin_assets` are currently being replaced by server-generated URLs. We want to keep the original URLs as `alternate` and use the server-generated URLs as the main `href`.

The `product_item["assets"]` seems to be populated from `product.assets.as_dict()`.

Wait, the provided example says:
```json
        "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"
            }
          }
        }
```

In the current code:
`origin_assets` is popped from `product_item["assets"]`. Then it iterates over them and modifies their `href` to be server URLs. Then it merges them back into `product_item["assets"]`.

If `origin_assets` contained the original S3 links, they are being overwritten.

Let's see where `origin_assets` comes from. It seems it's inside `product_item["assets"]` before it's popped.
`product_item` is generated by `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`.
`product_dict` contains `product.assets.as_dict()`.

So `product.assets.as_dict()` probably includes `origin_assets`.

Let's find the `ProductAssets` class or wherever `as_dict()` is implemented.
I'll search for `as_dict` in `eodag/api/product`.
TOOL CALL · run_command
{
  "command": "grep -rn \"as_dict\" eodag/api/product/"
}
Result of run_command 538 characters
{
  "status": "ok",
  "stdout": "eodag/api/product/_product.py:189:    def as_dict(self) -> Dict[str, Any]:\neodag/api/product/_product.py:205:            \"assets\": self.assets.as_dict(),\neodag/api/product/_product.py:245:    __geo_interface__ = property(as_dict)\neodag/api/product/_assets.py:48:    def as_dict(self) -> Dict[str, Any]:\neodag/api/product/_assets.py:55:        return {k: v.as_dict() for k, v in self.data.items()}\neodag/api/product/_assets.py:79:    def as_dict(self) -> Dict[str, Any]:\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 644 tokens · stopped: STOP
Looking at the code: 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) ``` It seems that `origin_assets` are currently being replaced by server-generated URLs. We want to keep the original URLs as `alternate` and use the server-generated URLs as the main `href`. The `product_item["assets"]` seems to be populated from `product.assets.as_dict()`. Wait, the provided example says: ```json "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" } } } ``` In the current code: `origin_assets` is popped from `product_item["assets"]`. Then it iterates over them and modifies their `href` to be server URLs. Then it merges them back into `product_item["assets"]`. If `origin_assets` contained the original S3 links, they are being overwritten. Let's see where `origin_assets` comes from. It seems it's inside `product_item["assets"]` before it's popped. `product_item` is generated by `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`. `product_dict` contains `product.assets.as_dict()`. So `product.assets.as_dict()` probably includes `origin_assets`. Let's find the `ProductAssets` class or wherever `as_dict()` is implemented. I'll search for `as_dict` in `eodag/api/product`. <channel|><|tool_call>call:run_command{command:<|"|>grep -rn "as_dict" eodag/api/product/<|"|>}<tool_call|><|tool_response>
Turn 4at 93 s52 tokens out5,978 prompt tokens
`eodag/api/product/_assets.py` seems to be the one. Let's read it.
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 52 tokens · stopped: STOP
`eodag/api/product/_assets.py` seems to be the one. Let's read it. <channel|><|tool_call>call:read_file{filepath:<|"|>eodag/api/product/_assets.py<|"|>}<tool_call|><|tool_response>
Turn 5at 139 s792 tokens out7,154 prompt tokens
`Asset.as_dict()` just returns `self.data`.

Now let's go back to `eodag/rest/stac.py`.
In `eodag/rest/stac.py`, around line 278:
```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)
```

It seems `product_item["assets"]` initially has a key `"origin_assets"`.
The code pops it, and then iterates over its items, modifying the `href` and adding it back to `product_item["assets"]`.

But wait, `origin_assets[asset_key]["href"]` is being overwritten.
We want to keep the original `href` in `alternate["origin"]["href"]`.

Let's see what `origin_assets` contains before it's modified.
If it contains the original assets' info, we should save the original `href` before overwriting it.

```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 = origin_assets[asset_key].get("href")
                    original_title = origin_assets[asset_key].get("title", "Origin asset link")

                    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}"

                    # Add original href to alternate
                    if original_href:
                        origin_assets[asset_key]["alternate"] = {
                            "origin": {
                                "title": original_title,
                                "href": original_href
                            }
                        }

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

Let me check if there is any other place where this is done.
I saw lines 530: `product_dict["assets"] = product.assets.as_dict()`.
Wait, line 530 is inside `_get_product_item` or something?
Let's check the context around line 530 in `eodag/rest/stac.py`.
TOOL CALL · read_file
{
  "end_line": 540,
  "filepath": "eodag/rest/stac.py",
  "start_line": 520
}
Result of read_file 798 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "        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",
  "start_line": 520,
  "end_line": 540,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 792 tokens · stopped: STOP
`Asset.as_dict()` just returns `self.data`. Now let's go back to `eodag/rest/stac.py`. In `eodag/rest/stac.py`, around line 278: ```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) ``` It seems `product_item["assets"]` initially has a key `"origin_assets"`. The code pops it, and then iterates over its items, modifying the `href` and adding it back to `product_item["assets"]`. But wait, `origin_assets[asset_key]["href"]` is being overwritten. We want to keep the original `href` in `alternate["origin"]["href"]`. Let's see what `origin_assets` contains before it's modified. If it contains the original assets' info, we should save the original `href` before overwriting it. ```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 = origin_assets[asset_key].get("href") original_title = origin_assets[asset_key].get("title", "Origin asset link") 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}" # Add original href to alternate if original_href: origin_assets[asset_key]["alternate"] = { "origin": { "title": original_title, "href": original_href } } product_item["assets"] = dict(product_item["assets"], **origin_assets) ``` Let me check if there is any other place where this is done. I saw lines 530: `product_dict["assets"] = product.assets.as_dict()`. Wait, line 530 is inside `_get_product_item` or something? Let's check the context around line 530 in `eodag/rest/stac.py`. <channel|><|tool_call>call:read_file{end_line:540,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:520}<tool_call|><|tool_response>
Turn 6at 146 s103 tokens out8,204 prompt tokens
This looks like it's part of a different function, but it follows the same pattern of preparing `product_dict` and then using `jsonpath_parse_dict_items`.

Let's see the whole function containing line 530.
Searching for the function name.
TOOL CALL · run_command
{
  "command": "grep -n \"def \" eodag/rest/stac.py | grep -C 5 \"530\""
}
Result of run_command 127 characters
{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "",
  "details": {
    "stdout": "",
    "stderr": "",
    "exit_code": 1
  }
}
Generated tokens 103 tokens · stopped: STOP
This looks like it's part of a different function, but it follows the same pattern of preparing `product_dict` and then using `jsonpath_parse_dict_items`. Let's see the whole function containing line 530. Searching for the function name. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "def " eodag/rest/stac.py | grep -C 5 "530"<|"|>}<tool_call|><|tool_response>
Turn 7at 153 s117 tokens out8,362 prompt tokens
Wait, `grep -n "def " eodag/rest/stac.py | grep -C 5 "530"` won't work because `grep -n` prints line numbers at the beginning of the line, not "530" in the content.

I'll just read a larger chunk around 530.
TOOL CALL · read_file
{
  "end_line": 600,
  "filepath": "eodag/rest/stac.py",
  "start_line": 450
}
Result of read_file 5,437 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "            result_item_model[\"stac_extensions\"].remove(\n                self.stac_config[\"stac_extensions\"][\"sar\"]\n            )\n\n        # Filter out unneeded properties\n        extensions_prefixes = [\n            k\n            for k, v in self.stac_config[\"stac_extensions\"].items()\n            if v in result_item_model[\"stac_extensions\"]\n        ]\n        for k, v in item_model[\"properties\"].items():\n            # remove key if extension not in stac_extensions\n            if \":\" in k and k.split(\":\")[0] not in extensions_prefixes:\n                result_item_model[\"properties\"].pop(k, None)\n\n        return result_item_model\n\n    def __filter_item_properties_values(self, item: Dict[str, Any]) -> Dict[str, Any]:\n        \"\"\"Removes empty properties, unused extensions, and add missing extensions\n\n        :param item: STAC item data\n        :type item: dict\n        :returns: Filtered item model\n        :rtype: dict\n        \"\"\"\n        all_extensions_dict: Dict[str, str] = deepcopy(\n            self.stac_config[\"stac_extensions\"]\n        )\n        # parse f-strings with root\n        all_extensions_dict = format_dict_items(\n            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)\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,\n            stac_config=stac_config,\n            provider=provider,\n            eodag_api=eodag_api,\n            root=root,\n        )\n\n    def __get_product_types(\n        self, filters: Optional[Dict[str, Any]] = None\n    ) -> List[Dict[str, Any]]:\n        \"\"\"Returns a list of supported product types\n\n        :param filters: (optional) Additional filters for product types search\n        :type filters: dict\n        :returns: List of corresponding product types\n        :rtype: list\n        \"\"\"\n        if filters is None:\n            filters = {}\n        try:",
  "start_line": 450,
  "end_line": 599,
  "total_lines": 1387,
  "is_truncated": true
}
Generated tokens 117 tokens · stopped: STOP
Wait, `grep -n "def " eodag/rest/stac.py | grep -C 5 "530"` won't work because `grep -n` prints line numbers at the beginning of the line, not "530" in the content. I'll just read a larger chunk around 530. <channel|><|tool_call>call:read_file{end_line:600,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:450}<tool_call|><|tool_response>
Turn 8at 161 s130 tokens out10,089 prompt tokens
Wait, this `get_stac_item_from_product` function doesn't have the logic to replace origin assets with server ones.
It’s in another function. Let's look for where the logic I saw before (lines 240-300) is.

It was around line 240 to 300. Let's see the function containing those lines.
TOOL CALL · run_command
{
  "command": "grep -n \"def \" eodag/rest/stac.py | grep -B 1 '240'"
}
Result of run_command 127 characters
{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "",
  "details": {
    "stdout": "",
    "stderr": "",
    "exit_code": 1
  }
}
Generated tokens 130 tokens · stopped: STOP
Wait, this `get_stac_item_from_product` function doesn't have the logic to replace origin assets with server ones. It’s in another function. Let's look for where the logic I saw before (lines 240-300) is. It was around line 240 to 300. Let's see the function containing those lines. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "def " eodag/rest/stac.py | grep -B 1 '240'<|"|>}<tool_call|><|tool_response>
Turn 9at 164 s62 tokens out10,274 prompt tokens
I'll just read the lines around 240 again and look for the function definition.
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 62 tokens · stopped: STOP
I'll just read the lines around 240 again and look for the function definition. <channel|><|tool_call>call:read_file{end_line:240,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:200}<tool_call|><|tool_response>
Turn 10at 169 s59 tokens out10,863 prompt tokens
The function starts before line 200. Let's read further back.
TOOL CALL · read_file
{
  "end_line": 200,
  "filepath": "eodag/rest/stac.py",
  "start_line": 180
}
Result of read_file 698 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "    \"\"\"\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]]:",
  "start_line": 180,
  "end_line": 200,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 59 tokens · stopped: STOP
The function starts before line 200. Let's read further back. <channel|><|tool_call>call:read_file{end_line:200,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:180}<tool_call|><|tool_response>
Turn 11at 232 s1,069 tokens out11,176 prompt tokens
The function is `__get_item_list`.
Wait, `get_stac_item_from_product` (lines 450-580) is another place where `product_item` is created.
But it doesn't seem to have the logic for `origin_assets`.

Wait, `get_stac_item_from_product` is probably used when requesting a single item.
`__get_item_list` is probably used when requesting a list of items.

If I want to support alternate assets in both cases, I should probably extract this logic into a helper method or make sure both use the same logic.

Let's re-examine `__get_item_list`.
Line 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)
```

Wait, why is `origin_assets` being popped and then merged back?
It seems `product_item["assets"]` is getting populated from `item_model` using `jsonpath_parse_dict_items`.
And `item_model` (from `stac.yml`) probably defines how to map product assets to STAC assets.

If `item_model`'s assets include something that maps to `product.assets.origin_assets`, then they end up in `product_item["assets"]["origin_assets"]`.

Actually, looking at the code:
`product_dict["assets"] = product.assets.as_dict()`
And `product_item = jsonpath_parse_dict_items(item_model, {"product": product_dict, ...})`

So if `item_model["assets"]` has a key `"origin_assets"` that is mapped to `$.product.assets`, then `product_item["assets"]["origin_assets"]` will contain the result of `product.assets.as_dict()`.

Wait, `product.assets` is an `AssetsDict`. `as_dict()` returns `{k: v.as_dict() for k, v in self.data.items()}` where `v` is an `Asset`. `Asset.as_dict()` returns `self.data`.

So `product_item["assets"]["origin_assets"]` is essentially the original assets of the product.

The code then iterates over these original assets and transforms their `href` to point to the eodag-server download endpoint.

Now, the request is to make the original raw asset available in `alternate`.

So I should modify this loop to:
1. Store original `href` (and `title` if available).
2. Update `href` to eodag-server download URL.
3. Add the original `href` to `alternate["origin"]`.

Let's check if I should also do this in `get_stac_item_from_product`.
In `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,
            },
        )
```
It doesn't have the `origin_assets` popping and transforming logic.
Is it because `get_stac_item_from_product` is used for something else? Or is it missing the feature?

Wait, if `get_stac_item_from_product` is used to get a single items' STAC representation, it should also provide the server-authenticated download links.

But let's see where `get_stac_item_from_product` is called.
Searching for `get_stac_item_from_product` in `eodag/rest/stac.py`.
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 1,069 tokens · stopped: STOP
The function is `__get_item_list`. Wait, `get_stac_item_from_product` (lines 450-580) is another place where `product_item` is created. But it doesn't seem to have the logic for `origin_assets`. Wait, `get_stac_item_from_product` is probably used when requesting a single item. `__get_item_list` is probably used when requesting a list of items. If I want to support alternate assets in both cases, I should probably extract this logic into a helper method or make sure both use the same logic. Let's re-examine `__get_item_list`. Line 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) ``` Wait, why is `origin_assets` being popped and then merged back? It seems `product_item["assets"]` is getting populated from `item_model` using `jsonpath_parse_dict_items`. And `item_model` (from `stac.yml`) probably defines how to map product assets to STAC assets. If `item_model`'s assets include something that maps to `product.assets.origin_assets`, then they end up in `product_item["assets"]["origin_assets"]`. Actually, looking at the code: `product_dict["assets"] = product.assets.as_dict()` And `product_item = jsonpath_parse_dict_items(item_model, {"product": product_dict, ...})` So if `item_model["assets"]` has a key `"origin_assets"` that is mapped to `$.product.assets`, then `product_item["assets"]["origin_assets"]` will contain the result of `product.assets.as_dict()`. Wait, `product.assets` is an `AssetsDict`. `as_dict()` returns `{k: v.as_dict() for k, v in self.data.items()}` where `v` is an `Asset`. `Asset.as_dict()` returns `self.data`. So `product_item["assets"]["origin_assets"]` is essentially the original assets of the product. The code then iterates over these original assets and transforms their `href` to point to the eodag-server download endpoint. Now, the request is to make the original raw asset available in `alternate`. So I should modify this loop to: 1. Store original `href` (and `title` if available). 2. Update `href` to eodag-server download URL. 3. Add the original `href` to `alternate["origin"]`. Let's check if I should also do this in `get_stac_item_from_product`. In `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, }, ) ``` It doesn't have the `origin_assets` popping and transforming logic. Is it because `get_stac_item_from_product` is used for something else? Or is it missing the feature? Wait, if `get_stac_item_from_product` is used to get a single items' STAC representation, it should also provide the server-authenticated download links. But let's see where `get_stac_item_from_product` is called. Searching for `get_stac_item_from_product` in `eodag/rest/stac.py`. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "get_stac_item_from_product" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 12at 241 s92 tokens out12,316 prompt tokens
It's only defined, but not called? Let me check the whole file again.
Wait, it's probably called in `server.py` or elsewhere.

Let's search for it in the whole `eodag/rest/` directory.
TOOL CALL · run_command
{
  "command": "grep -rn \"get_stac_item_from_product\" eodag/rest/"
}
Result of run_command 253 characters
{
  "status": "ok",
  "stdout": "eodag/rest/utils.py:682:        ).get_stac_item_from_product(product=found_products[0])\neodag/rest/stac.py:500:    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 92 tokens · stopped: STOP
It's only defined, but not called? Let me check the whole file again. Wait, it's probably called in `server.py` or elsewhere. Let's search for it in the whole `eodag/rest/` directory. <channel|><|tool_call>call:run_command{command:<|"|>grep -rn "get_stac_item_from_product" eodag/rest/<|"|>}<tool_call|><|tool_response>
Turn 13at 282 s782 tokens out12,526 prompt tokens
Okay, it's called in `eodag/rest/utils.py`.

Let's see if we should also implement the same logic there.
If the goal is to make origin raw assets available in server mode, it should probably apply to both list and single item requests.

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, `without_arg_url` and `query_dict` are defined earlier in `__get_item_list`.

Let's look at how `without_arg_url` and `query_dict` are calculated.
```python
            # parse download link
            url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
            query_dict = parse_qs(url_parts.query)
            without_arg_url = (
                f"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}"
                if url_parts.scheme
                else f"{url_parts.netloc}{url_parts.path}"
            )

            # add provider to query-args
            if self.provider:
                query_dict.update(provider=[self.provider])
            # add datacube query-string to query-args
            _dc_qs = product_item["assets"]["downloadLink"].pop("_dc_qs", None)
            if _dc_qs:
                query_dict.update(_dc_qs=_dc_qs)

            # update download link with up-to-date query-args
            if query_dict:
                product_item["assets"]["downloadLink"][
                    "href"
                ] = f"{without_arg_url}?{urlencode(query_dict, doseq=True)}"
```

So it uses the `downloadLink` asset to determine the base URL for the server download.

If I want to implement this in `get_stac_item_from_product`, I need to do the same thing.

However, maybe I can refactor this into a method that both `__get_item_list` and `get_stac_item_from_product` can use.

Let's see where `get_stac_item_from_product` is. It's in `StacItem` class (well, it's defined in `StacItem` based on the `self` and the context I saw).
Wait, let's check the class definition of `get_stac_item_from_product`.
TOOL CALL · read_file
{
  "end_line": 500,
  "filepath": "eodag/rest/stac.py",
  "start_line": 480
}
Result of read_file 1,017 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]:",
  "start_line": 480,
  "end_line": 500,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 782 tokens · stopped: STOP
Okay, it's called in `eodag/rest/utils.py`. Let's see if we should also implement the same logic there. If the goal is to make origin raw assets available in server mode, it should probably apply to both list and single item requests. 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, `without_arg_url` and `query_dict` are defined earlier in `__get_item_list`. Let's look at how `without_arg_url` and `query_dict` are calculated. ```python # parse download link url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"])) query_dict = parse_qs(url_parts.query) without_arg_url = ( f"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}" if url_parts.scheme else f"{url_parts.netloc}{url_parts.path}" ) # add provider to query-args if self.provider: query_dict.update(provider=[self.provider]) # add datacube query-string to query-args _dc_qs = product_item["assets"]["downloadLink"].pop("_dc_qs", None) if _dc_qs: query_dict.update(_dc_qs=_dc_qs) # update download link with up-to-date query-args if query_dict: product_item["assets"]["downloadLink"][ "href" ] = f"{without_arg_url}?{urlencode(query_dict, doseq=True)}" ``` So it uses the `downloadLink` asset to determine the base URL for the server download. If I want to implement this in `get_stac_item_from_product`, I need to do the same thing. However, maybe I can refactor this into a method that both `__get_item_list` and `get_stac_item_from_product` can use. Let's see where `get_stac_item_from_product` is. It's in `StacItem` class (well, it's defined in `StacItem` based on the `self` and the context I saw). Wait, let's check the class definition of `get_stac_item_from_product`. <channel|><|tool_call>call:read_file{end_line:500,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:480}<tool_call|><|tool_response>
Turn 14at 285 s47 tokens out13,621 prompt tokens
Wait, I missed the class definition. Let's find it.
TOOL CALL · run_command
{
  "command": "grep -n \"class Stac\" eodag/rest/stac.py"
}
Result of run_command 190 characters
{
  "status": "ok",
  "stdout": "68:class StacCommon:\n167:class StacItem(StacCommon):\n556:class StacCollection(StacCommon):\n728:class StacCatalog(StacCommon):\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 47 tokens · stopped: STOP
Wait, I missed the class definition. Let's find it.<channel|><|tool_call>call:run_command{command:<|"|>grep -n "class Stac" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 15at 290 s88 tokens out13,758 prompt tokens
`get_stac_item_from_product` is in `StacItem`. `__get_item_list` is also in `StacItem`.

Let's see how `__get_item_list` is called.
TOOL CALL · run_command
{
  "command": "grep -n \"__get_item_list\" eodag/rest/stac.py"
}
Result of run_command 171 characters
{
  "status": "ok",
  "stdout": "198:    def __get_item_list(\n391:        items[\"features\"] = self.__get_item_list(search_results, catalog)\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 88 tokens · stopped: STOP
`get_stac_item_from_product` is in `StacItem`. `__get_item_list` is also in `StacItem`. Let's see how `__get_item_list` is called. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "__get_item_list" 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.
  [  20.5s] 💭 (1020 chars) "The goal is to modify the server mode of `eodag` to provide both the authenticated download
link and the origin raw asse..."
  [  20.5s] 🔧 run_command grep -rn --include="stac.py" "assets" eodag/rest/
  [  20.6s]   → eodag/rest/stac.py:245:            product_dict["assets"] = product.assets.as_dict()
  [  34.4s] 💭 (261 chars) "Okay, `eodag/rest/stac.py` definitely seems to be the place.
Lines 245, 256, 268, 274, 278, 279, 280, 282, 283, 285, 289..."
  [  34.4s] 📖 read_file (eodag/rest/stac.py)
  [  34.4s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '                    ].__dict__\n         
},\n     …
  [  76.8s] 💭 (2244 chars) "Looking at the code:
Lines 278-291:
```python
            # add origin assets to product assets
            origin_asset..."
  [  76.8s] 🔧 run_command grep -rn "as_dict" eodag/api/product/
  [  76.9s]   → eodag/api/product/_product.py:189:    def as_dict(self) -> Dict[str, Any]:
  [  79.8s] 💭 (66 chars) "`eodag/api/product/_assets.py` seems to be the one. Let's read it."
  [  79.8s] 📖 read_file (eodag/api/product/_assets.py)
  [  79.8s]   ✓ {'status': 'ok', 'filepath': 'eodag/api/product/_assets.py', 'content': '# -*- coding: utf-8 -*-\n# 
Copyright 2023, CS G…
  [ 126.1s] 💭 (3026 chars) "`Asset.as_dict()` just returns `self.data`.

Now let's go back to `eodag/rest/stac.py`.
In `eodag/rest/stac.py`, around ..."
  [ 126.1s] 📖 read_file (eodag/rest/stac.py)
  [ 126.1s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '        catalog = StacCatalog(\n         
url=self.url.…
  [ 133.0s] 💭 (238 chars) "This looks like it's part of a different function, but it follows the same pattern of 
preparing `product_dict` and then ..."
  [ 133.0s] 🔧 run_command grep -n "def " eodag/rest/stac.py | grep -C 5 "530"
  [ 133.1s]   → error (exit 0): 
  [ 139.2s] 💭 (207 chars) "Wait, `grep -n "def " eodag/rest/stac.py | grep -C 5 "530"` won't work because `grep -n` 
prints line numbers at the begi..."
  [ 139.2s] 📖 read_file (eodag/rest/stac.py)
  [ 139.2s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '            
result_item_model["stac_extensions"].remove(\…
  [ 147.3s] 💭 (283 chars) "Wait, this `get_stac_item_from_product` function doesn't have the logic to replace origin 
assets with server ones.
It’s ..."
  [ 147.3s] 🔧 run_command grep -n "def " eodag/rest/stac.py | grep -B 1 '240'
  [ 147.4s]   → error (exit 0): 
  [ 150.9s] 💭 (79 chars) "I'll just read the lines around 240 again and look for the function definition."
  [ 150.9s] 📖 read_file (eodag/rest/stac.py)
  [ 150.9s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '    ) -> List[Dict[str, Any]]:\n        
"""Build STAC ite…
  [ 156.1s] 💭 (61 chars) "The function starts before line 200. Let's read further back."
  [ 156.1s] 📖 read_file (eodag/rest/stac.py)
  [ 156.1s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '    """\n\n    def __init__(\n        
self,\n        url:…
  [ 218.7s] 💭 (3692 chars) "The function is `__get_item_list`.
Wait, `get_stac_item_from_product` (lines 450-580) is another place where `product_it..."
  [ 218.7s] 🔧 run_command grep -n "get_stac_item_from_product" eodag/rest/stac.py
  [ 218.7s]   → 500:    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:
  [ 227.4s] 💭 (184 chars) "It's only defined, but not called? Let me check the whole file again.
Wait, it's probably called in `server.py` or elsew..."
  [ 227.4s] 🔧 run_command grep -rn "get_stac_item_from_product" eodag/rest/
  [ 227.5s]   → eodag/rest/utils.py:682:        ).get_stac_item_from_product(product=found_products[0])
  [ 268.7s] 💭 (2722 chars) "Okay, it's called in `eodag/rest/utils.py`.

Let's see if we should also implement the same logic there.
If the goal is ..."
  [ 268.7s] 📖 read_file (eodag/rest/stac.py)
  [ 268.8s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '            all_extensions_dict, 
**{"catalog": {"root": s…
  [ 271.2s] 💭 (51 chars) "Wait, I missed the class definition. Let's find it."
  [ 271.2s] 🔧 run_command grep -n "class Stac" eodag/rest/stac.py
  [ 271.3s]   → 68:class StacCommon:
  [ 276.6s] 💭 (131 chars) "`get_stac_item_from_product` is in `StacItem`. `__get_item_list` is also in `StacItem`.

Let's see how `__get_item_list`..."
  [ 276.6s] 🔧 run_command grep -n "__get_item_list" eodag/rest/stac.py
  [ 276.6s]   → 198:    def __get_item_list(
Native result row
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  "agent_error": "Agent exceeded session timeout (7.5 min)",
  "duration_seconds": 465.69,
  "error": "Empty agent patch",
  "grade": {
    "error": "Empty agent patch",
    "resolved": false,
    "strict_clean_patch": false,
    "test_exit_code": -1
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  "instance_id": "cs-si__eodag-961",
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  "phase1_seconds": 465.69,
  "repo": "CS-SI/eodag",
  "request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/cs-si__eodag-961__p0__r5.jsonl",
  "resolved": false,
  "rollout_idx": 5,
  "run_key": "cs-si__eodag-961__p0__r5",
  "strict_clean_patch": false,
  "tool_calls": 15,
  "total_llm_calls": 15,
  "trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_cs-si__eodag-961__p0__r5.json"
}