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ROLLOUT 0 · CS-SI/eodag

cs-si__eodag-961

Not solved
500 stotal time
7tool calls
8model calls
6,088tokens generated
66,278prompt 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 69 s346 tokens out3,321 prompt tokens
The user wants to implement the "alternate assets" STAC extension in the `eodag-server` mode.
Specifically, for each asset, it should provide both a download link (authenticated via the server) and the origin raw asset link.

Example expected JSON for an asset:
```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"
      }
    }
  }
}
```

I need to find where STAC items are generated in the `eodag-server`.
Looking at the Workspace Layout:
- `eodag/rest/stac.py` seems like the place where STAC API is implemented.
- `eodag/api/product` might be related to how products are handled.
- `eodag/api/core.py` might be relevant.

Let's start by searching for "STAC" and "asset" in `eodag/rest/stac.py`.
TOOL CALL · run_command
{
  "command": "grep -rn --include=\"*.py\" -e \"STAC\" -e \"assets\" | grep \"eodag/rest/stac.py\""
}
Result of run_command 3,242 characters
{
  "status": "ok",
  "stdout": "eodag/rest/stac.py:65:STAC_CATALOGS_PREFIX = \"catalogs\"\neodag/rest/stac.py:73:    :param stac_config: STAC configuration from stac.yml conf file\neodag/rest/stac.py:100:        \"\"\"Updates data using given input STAC dict data\neodag/rest/stac.py:102:        :param data: Catalog data (parsed STAC dict)\neodag/rest/stac.py:133:        \"\"\"Parse STAC extension from config and return as dict\neodag/rest/stac.py:137:        :param stac_config: STAC configuration from stac.yml conf file\neodag/rest/stac.py:143:        :returns: STAC extension as dictionnary\neodag/rest/stac.py:159:        :returns: STAC data dictionnary\neodag/rest/stac.py:172:    :param stac_config: STAC configuration from stac.yml conf file\neodag/rest/stac.py:201:        \"\"\"Build STAC items list from EODAG search results\neodag/rest/stac.py:205:        :param catalog: STAC catalog dict used for parsing item metadata\neodag/rest/stac.py:207:        :returns: STAC item dicts list\neodag/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:340:        \"\"\"Build STAC items from EODAG search results\neodag/rest/stac.py:344:        :param catalog: STAC catalog dict used for parsing item metadata\neodag/rest/stac.py:470:        :param item: STAC item data\neodag/rest/stac.py:501:        \"\"\"Build STAC item from EODAG product\neodag/rest/stac.py:505:        :returns: STAC item\neodag/rest/stac.py:530:        product_dict[\"assets\"] = product.assets.as_dict()\neodag/rest/stac.py:561:    :param stac_config: STAC configuration from stac.yml conf file\neodag/rest/stac.py:616:        \"\"\"Build STAC collections list\neodag/rest/stac.py:620:        :returns: STAC collection dicts list\neodag/rest/stac.py:675:        \"\"\"Build STAC collections\neodag/rest/stac.py:708:        \"\"\"Build STAC collection by its id\neodag/rest/stac.py:733:    :param stac_config: STAC configuration from stac.yml conf file\neodag/rest/stac.py:1258:                            self.url, f\"{STAC_CATALOGS_PREFIX}/{product_type['ID']}\"\neodag/rest/stac.py:1382:        \"\"\"Get nested STAC catalog as data dict\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 346 tokens · stopped: STOP
<|channel>thought The user wants to implement the "alternate assets" STAC extension in the `eodag-server` mode. Specifically, for each asset, it should provide both a download link (authenticated via the server) and the origin raw asset link. Example expected JSON for an asset: ```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" } } } } ``` I need to find where STAC items are generated in the `eodag-server`. Looking at the Workspace Layout: - `eodag/rest/stac.py` seems like the place where STAC API is implemented. - `eodag/api/product` might be related to how products are handled. - `eodag/api/core.py` might be relevant. Let's start by searching for "STAC" and "asset" in `eodag/rest/stac.py`.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" -e "STAC" -e "assets" | grep "eodag/rest/stac.py"<|"|>}<tool_call|><|tool_response>
Turn 2at 77 s120 tokens out4,868 prompt tokens
Line 245 and 530 in `eodag/rest/stac.py` show `product_dict["assets"] = product.assets.as_dict()`.
Lines 278-291 seem to deal with origin assets.

Let's examine `eodag/rest/stac.py` around these lines.
TOOL CALL · read_file
{
  "end_line": 300,
  "filepath": "eodag/rest/stac.py",
  "start_line": 200
}
Result of read_file 4,579 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__\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": 200,
  "end_line": 300,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 120 tokens · stopped: STOP
Line 245 and 530 in `eodag/rest/stac.py` show `product_dict["assets"] = product.assets.as_dict()`. Lines 278-291 seem to deal with origin assets. Let's examine `eodag/rest/stac.py` around these lines.<channel|><|tool_call>call:read_file{filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:200,end_line:300}<tool_call|><|tool_response>
Turn 3at 112 s516 tokens out6,234 prompt tokens
Wait, let's look at the current implementation of assets in `eodag/rest/stac.py`:

```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],
                },
            )

            # parse download link
            url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
            # ... (code to update download link)
            
            # 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 `product.assets.as_dict()` returns something that includes `origin_assets`.
Then `product_item["assets"]` is populated from `item_model` using `product_dict`.

Wait, let's check `eodag/api/product/assets.py` if it exists. The layout doesn't show it, but it's likely where `product.assets` comes from. Let's check `eodag/api/product/__init__.py` or similar.
Actually, let's see what `product.assets.as_dict()` does.
I'll search for `def as_dict` in `eodag/api/product`.
TOOL CALL · run_command
{
  "command": "grep -rn \"def as_dict\" eodag/api/product/"
}
Result of run_command 284 characters
{
  "status": "ok",
  "stdout": "eodag/api/product/_product.py:189:    def as_dict(self) -> Dict[str, Any]:\neodag/api/product/_assets.py:48:    def as_dict(self) -> Dict[str, Any]:\neodag/api/product/_assets.py:79:    def as_dict(self) -> Dict[str, Any]:\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 516 tokens · stopped: STOP
Wait, let's look at the current implementation of assets in `eodag/rest/stac.py`: ```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], }, ) # parse download link url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"])) # ... (code to update download link) # 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 `product.assets.as_dict()` returns something that includes `origin_assets`. Then `product_item["assets"]` is populated from `item_model` using `product_dict`. Wait, let's check `eodag/api/product/assets.py` if it exists. The layout doesn't show it, but it's likely where `product.assets` comes from. Let's check `eodag/api/product/__init__.py` or similar. Actually, let's see what `product.assets.as_dict()` does. I'll search for `def as_dict` in `eodag/api/product`. <channel|><|tool_call>call:run_command{command:<|"|>grep -rn "def as_dict" eodag/api/product/<|"|>}<tool_call|><|tool_response>
Turn 4at 115 s52 tokens out6,883 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 124 s121 tokens out8,059 prompt tokens
The `Asset` class in `eodag/api/product/_assets.py` just returns `self.data`.
The `AssetsDict` class calls `as_dict()` on each `Asset`.

Now let's look at how `product.assets` is populated. It's likely in `eodag/api/product/_product.py`.
TOOL CALL · read_file
{
  "end_line": 300,
  "filepath": "eodag/api/product/_product.py",
  "start_line": 150
}
Result of read_file 6,841 characters
{
  "status": "ok",
  "filepath": "eodag/api/product/_product.py",
  "content": "                        float(coords[1]),\n                        float(coords[0]),\n                        float(coords[3]),\n                        float(coords[2]),\n                    )\n        # Best effort to understand provider specific geometry (the default is to\n        # assume an object implementing the Geo Interface: see\n        # https://gist.github.com/2217756)\n        if isinstance(product_geometry, str):\n            try:\n                product_geometry = wkt.loads(product_geometry)\n            except (ShapelyError, GEOSException):\n                try:\n                    product_geometry = wkb.loads(product_geometry)\n                # Also catching TypeError because product_geometry can be a\n                # string and not a bytes string\n                except (ShapelyError, GEOSException, TypeError):\n                    # Giv up!\n                    raise\n        self.geometry = self.search_intersection = geometry.shape(product_geometry)\n        self.search_kwargs = kwargs\n        if self.search_kwargs.get(\"geometry\") is not None:\n            searched_geom = get_geometry_from_various(\n                **{\"geometry\": self.search_kwargs[\"geometry\"]}\n            )\n            try:\n                self.search_intersection = self.geometry.intersection(searched_geom)\n            except (GEOSException, ShapelyError):\n                logger.warning(\n                    \"Unable to intersect the requested extent: %s with the product \"\n                    \"geometry: %s\",\n                    searched_geom,\n                    product_geometry,\n                )\n                self.search_intersection = None\n        self.driver = self.get_driver()\n        self.downloader: Optional[Union[Api, Download]] = None\n        self.downloader_auth: Optional[Authentication] = None\n\n    def as_dict(self) -> Dict[str, Any]:\n        \"\"\"Builds a representation of EOProduct as a dictionary to enable its geojson\n        serialization\n\n        :returns: The representation of a :class:`~eodag.api.product._product.EOProduct` as a\n                  Python dict\n        :rtype: dict\n        \"\"\"\n        search_intersection = None\n        if self.search_intersection is not None:\n            search_intersection = geometry.mapping(self.search_intersection)\n\n        geojson_repr: Dict[str, Any] = {\n            \"type\": \"Feature\",\n            \"geometry\": geometry.mapping(self.geometry),\n            \"id\": self.properties[\"id\"],\n            \"assets\": self.assets.as_dict(),\n            \"properties\": {\n                \"eodag_product_type\": self.product_type,\n                \"eodag_provider\": self.provider,\n                \"eodag_search_intersection\": search_intersection,\n                **{\n                    key: value\n                    for key, value in self.properties.items()\n                    if key not in (\"geometry\", \"id\")\n                },\n            },\n        }\n\n        return geojson_repr\n\n    @classmethod\n    def from_geojson(cls, feature: Dict[str, Any]) -> EOProduct:\n        \"\"\"Builds an :class:`~eodag.api.product._product.EOProduct` object from its\n        representation as geojson\n\n        :param feature: The representation of a :class:`~eodag.api.product._product.EOProduct`\n                        as a Python dict\n        :type feature: dict\n        :returns: An instance of :class:`~eodag.api.product._product.EOProduct`\n        :rtype: :class:`~eodag.api.product._product.EOProduct`\n        \"\"\"\n        properties = feature[\"properties\"]\n        properties[\"geometry\"] = feature[\"geometry\"]\n        properties[\"id\"] = feature[\"id\"]\n        provider = feature[\"properties\"][\"eodag_provider\"]\n        product_type = feature[\"properties\"][\"eodag_product_type\"]\n        obj = cls(provider, properties, productType=product_type)\n        obj.search_intersection = geometry.shape(\n            feature[\"properties\"][\"eodag_search_intersection\"]\n        )\n        obj.assets = AssetsDict(obj, feature.get(\"assets\", {}))\n        return obj\n\n    # Implementation of geo-interface protocol (See\n    # https://gist.github.com/sgillies/2217756)\n    __geo_interface__ = property(as_dict)\n\n    def __repr__(self) -> str:\n        try:\n            return \"{}(id={}, provider={})\".format(\n                self.__class__.__name__, self.properties[\"id\"], self.provider\n            )\n        except KeyError as e:\n            raise MisconfiguredError(\n                f\"Unable to get {e.args[0]} key from EOProduct.properties\"\n            )\n\n    def register_downloader(\n        self, downloader: Union[Api, Download], authenticator: Optional[Authentication]\n    ) -> None:\n        \"\"\"Give to the product the information needed to download itself.\n\n        :param downloader: The download method that it can use\n        :type downloader: Concrete subclass of\n                          :class:`~eodag.plugins.download.base.Download` or\n                          :class:`~eodag.plugins.api.base.Api`\n        :param authenticator: The authentication method needed to perform the download\n        :type authenticator: Concrete subclass of\n                             :class:`~eodag.plugins.authentication.base.Authentication`\n        \"\"\"\n        self.downloader = downloader\n        self.downloader_auth = authenticator\n\n        # resolve locations and properties if needed with downloader configuration\n        location_attrs = (\"location\", \"remote_location\")\n        for location_attr in location_attrs:\n            try:\n                setattr(\n                    self,\n                    location_attr,\n                    urllib.parse.unquote(getattr(self, location_attr))\n                    % vars(self.downloader.config),\n                )\n            except ValueError as e:\n                logger.debug(\n                    f\"Could not resolve product.{location_attr} ({getattr(self, location_attr)})\"\n                    f\" in register_downloader: {str(e)}\"\n                )\n\n        for k, v in self.properties.items():\n            if isinstance(v, str):\n                try:\n                    if \"%\" in v:\n                        parsed = urllib.parse.urlparse(v)\n                        prop = urllib.parse.unquote(parsed.path) % vars(\n                            self.downloader.config\n                        )\n                        parsed = parsed._replace(path=urllib.parse.quote(prop))\n                        self.properties[k] = urllib.parse.urlunparse(parsed)\n                    else:",
  "start_line": 150,
  "end_line": 299,
  "total_lines": 541,
  "is_truncated": true
}
Generated tokens 121 tokens · stopped: STOP
The `Asset` class in `eodag/api/product/_assets.py` just returns `self.data`. The `AssetsDict` class calls `as_dict()` on each `Asset`. Now let's look at how `product.assets` is populated. It's likely in `eodag/api/product/_product.py`. <channel|><|tool_call>call:read_file{end_line:300,filepath:<|"|>eodag/api/product/_product.py<|"|>,start_line:150}<tool_call|><|tool_response>
Turn 6at 228 s1,940 tokens out9,878 prompt tokens
Wait, I'm looking at `eodag/rest/stac.py` 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],
                },
            )

            # parse download link
            url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
            # ...
            # 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"]` is coming from `item_model` (which is parsed from `stac.yml` and applied to `product_dict`).
`product_dict["assets"]` is `product.assets.as_dict()`.
So `item_model` probably maps `product.assets` entries to STAC assets.

If `stac.yml` is configured to map `origin_assets` to something, then `product_item["assets"]` will have `origin_assets`.

Let's see how `stac.yml` usually looks or how `item_model` is used.
The code in `eodag/rest/stac.py` does:
`origin_assets = product_item["assets"].pop("origin_assets")`

This means `origin_assets` is part of the assets dictionary in `product_item`.
Then it iterates over `origin_assets` and replaces their `href` with server-authenticated links.
Finally it merges them back into `product_item["assets"]`.

Wait, the goal is to have BOTH the authenticated link AND the origin link.
Currently, the code is REPLACING the origin link with the authenticated link.

```python
                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)
```

If `origin_assets` had the original links, this code replaces them.

Let's look at what `product_item["assets"]` contains before the `.pop("origin_assets")`.
It's the result of `jsonpath_parse_dict_items(item_model, {"product": product_dict, ...})`.
`product_dict["assets"]` is `product.assets.as_dict()`.

If `product.assets.as_dict()` contains the origin links, and `item_model` is configured to put them in `origin_assets`...

Let's see `eodag/rest/stac.py` around line 245.

```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],
                },
            )

            # parse download link
            url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
```

It seems `product_item["assets"]` already has a `downloadLink` asset.

In the problem statement, the desired format is:
```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"
            }
          }
        }
```

So for each asset (like "B01"), it should have an `href` (server link) and an `alternate.origin.href` (original link).

Current code does:
1. `product_item["assets"]` is created.
2. `origin_assets` is popped from `product_item["assets"]`.
3. `origin_assets`'s `href`s are updated to be server links.
4. `origin_assets` are merged back into `product_item["assets"]`.

If `product_item["assets"]` already had the assets, then `origin_assets` might be a separate list of assets, or the same ones.

Let's look at the code again.
```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 `origin_assets` contained `{"B01": {"href": "s3://..."}}`, then after the loop it becomes `{"B01": {"href": "http://.../B01"}}`.
And then it's merged into `product_item["assets"]`.

But where did the original `s3://...` go? It was overwritten.

Wait, maybe the original links are still in `product_item["assets"]`?
No, if `origin_assets` keys overlap with `product_item["assets"]` keys, the `dict(..., **origin_assets)` will overwrite them.

Let's see how `product_item["assets"]` is populated.
It's from `item_model`.
If `item_model` is:
```json
{
  "assets": {
    "downloadLink": {"href": "product.assets.some_link"},
    "origin_assets": "product.assets"
  }
}
```
Then `product_item["assets"]` would be:
```json
{
  "downloadLink": {"href": "..."},
  "origin_assets": {
    "B01": {"href": "s3://..."},
    "B02": {"href": "s3://..."}
  }
}
```

Then the code does:
1. `origin_assets = product_item["assets"].pop("origin_assets")`
2. For `B01`, `origin_assets["B01"]["href"]` becomes the server link.
3. `product_item["assets"]` becomes `{"downloadLink": {"href": "..."}, "B01": {"href": "server_link"}, "B02": {"href": "server_link"}}`.

The original `s3://` links are gone.

The user wants:
For each asset in `origin_assets`:
- its `href` should be the server link.
- its `alternate.origin.href` should be the original link.

So we should save the original link before overwriting it.

Let's see where else this happens. There is also `build_stac_item` method (line 501).
TOOL CALL · read_file
{
  "end_line": 570,
  "filepath": "eodag/rest/stac.py",
  "start_line": 500
}
Result of read_file 2,583 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "    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",
  "start_line": 500,
  "end_line": 570,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 1,940 tokens · stopped: STOP
Wait, I'm looking at `eodag/rest/stac.py` 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], }, ) # parse download link url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"])) # ... # 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"]` is coming from `item_model` (which is parsed from `stac.yml` and applied to `product_dict`). `product_dict["assets"]` is `product.assets.as_dict()`. So `item_model` probably maps `product.assets` entries to STAC assets. If `stac.yml` is configured to map `origin_assets` to something, then `product_item["assets"]` will have `origin_assets`. Let's see how `stac.yml` usually looks or how `item_model` is used. The code in `eodag/rest/stac.py` does: `origin_assets = product_item["assets"].pop("origin_assets")` This means `origin_assets` is part of the assets dictionary in `product_item`. Then it iterates over `origin_assets` and replaces their `href` with server-authenticated links. Finally it merges them back into `product_item["assets"]`. Wait, the goal is to have BOTH the authenticated link AND the origin link. Currently, the code is REPLACING the origin link with the authenticated link. ```python 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) ``` If `origin_assets` had the original links, this code replaces them. Let's look at what `product_item["assets"]` contains before the `.pop("origin_assets")`. It's the result of `jsonpath_parse_dict_items(item_model, {"product": product_dict, ...})`. `product_dict["assets"]` is `product.assets.as_dict()`. If `product.assets.as_dict()` contains the origin links, and `item_model` is configured to put them in `origin_assets`... Let's see `eodag/rest/stac.py` around line 245. ```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], }, ) # parse download link url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"])) ``` It seems `product_item["assets"]` already has a `downloadLink` asset. In the problem statement, the desired format is: ```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" } } } ``` So for each asset (like "B01"), it should have an `href` (server link) and an `alternate.origin.href` (original link). Current code does: 1. `product_item["assets"]` is created. 2. `origin_assets` is popped from `product_item["assets"]`. 3. `origin_assets`'s `href`s are updated to be server links. 4. `origin_assets` are merged back into `product_item["assets"]`. If `product_item["assets"]` already had the assets, then `origin_assets` might be a separate list of assets, or the same ones. Let's look at the code again. ```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 `origin_assets` contained `{"B01": {"href": "s3://..."}}`, then after the loop it becomes `{"B01": {"href": "http://.../B01"}}`. And then it's merged into `product_item["assets"]`. But where did the original `s3://...` go? It was overwritten. Wait, maybe the original links are still in `product_item["assets"]`? No, if `origin_assets` keys overlap with `product_item["assets"]` keys, the `dict(..., **origin_assets)` will overwrite them. Let's see how `product_item["assets"]` is populated. It's from `item_model`. If `item_model` is: ```json { "assets": { "downloadLink": {"href": "product.assets.some_link"}, "origin_assets": "product.assets" } } ``` Then `product_item["assets"]` would be: ```json { "downloadLink": {"href": "..."}, "origin_assets": { "B01": {"href": "s3://..."}, "B02": {"href": "s3://..."} } } ``` Then the code does: 1. `origin_assets = product_item["assets"].pop("origin_assets")` 2. For `B01`, `origin_assets["B01"]["href"]` becomes the server link. 3. `product_item["assets"]` becomes `{"downloadLink": {"href": "..."}, "B01": {"href": "server_link"}, "B02": {"href": "server_link"}}`. The original `s3://` links are gone. The user wants: For each asset in `origin_assets`: - its `href` should be the server link. - its `alternate.origin.href` should be the original link. So we should save the original link before overwriting it. Let's see where else this happens. There is also `build_stac_item` method (line 501). <channel|><|tool_call>call:read_file{end_line:570,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:500}<tool_call|><|tool_response>
Turn 7at 293 s1,113 tokens out12,633 prompt tokens
Wait, `get_stac_item_from_product` (line 501) does NOT have the `origin_assets` logic that `build_stac_items` (line 201) has.

Let's re-read `build_stac_items` (line 201) and `get_stac_item_from_product` (line 501).

Actually, `build_stac_items` (line 201) is for when searching, which means it handles multiple products.
`get_stac_item_from_product` (line 501) is for a single product.

Wait, if `get_stac_item_from_product` is missing the `origin_assets` processing, it's probably a bug or it was intended to be shared.

Wait, the problem says "make available both eodag-authenticated and origin raw assets".

If I look at `build_stac_items` again:

```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)
```

Here `origin_assets` are the assets of the product. The code currently replaces their `href` with the server's authenticated download link.

To implement `alternate assets`, we should:
1. Save the original `href` of each origin asset.
2. Set the new `href` to be the authenticated link.
3. Add an `alternate` field containing the original `href`.

Example:
```python
                for asset_key, asset_value in origin_assets.items():
                    # Save original href
                    original_href = asset_value.get("href")
                    
                    # Set server link as href
                    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 alternate origin link
                    if original_href:
                        origin_assets[asset_key]["alternate"] = {
                            "origin": {
                                "title": "Origin asset link",
                                "href": original_href
                            }
                        }
```

But I should also check if `get_stac_item_from_product` needs this too.
Looking at `get_stac_item_from_product`, it calls `jsonpath_parse_dict_items(item_model, ...)` but it doesn't seem to do the `origin_assets` popping and merging.

Wait, if `item_model` contains `origin_assets`, then `product_item["assets"]` will have `origin_assets` in it.
If the user accesses this item, they will see `origin_assets` as an asset (which is wrong according to STAC, assets should be key-value pairs where keys are asset names).

Actually, the logic in `build_stac_items` was trying to flatten `origin_assets` into `assets`.

Let's see if there's a common method for this.
It seems `build_stac_items` has this logic and `get_stac_item_from_product` doesn't. That's probably a bug in the current codebase (incosistency).

Wait, `get_stac_item_from_product` returns `self.as_dict()`.
Let's check `as_dict` in `StacItem` (or whatever class `self` is in `get_stac_item_from_product`).
Wait, `get_stac_item_from_product` is a method of `StacCatalog` or `StacCommon`?
Let's see. `get_stac_item_from_product` is probably in `StacCatalog`.

Let's look at the class definition of `get_stac_item_from_product`.
TOOL CALL · read_file
{
  "end_line": 500,
  "filepath": "eodag/rest/stac.py",
  "start_line": 450
}
Result of read_file 2,211 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]:",
  "start_line": 450,
  "end_line": 500,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 1,113 tokens · stopped: STOP
Wait, `get_stac_item_from_product` (line 501) does NOT have the `origin_assets` logic that `build_stac_items` (line 201) has. Let's re-read `build_stac_items` (line 201) and `get_stac_item_from_product` (line 501). Actually, `build_stac_items` (line 201) is for when searching, which means it handles multiple products. `get_stac_item_from_product` (line 501) is for a single product. Wait, if `get_stac_item_from_product` is missing the `origin_assets` processing, it's probably a bug or it was intended to be shared. Wait, the problem says "make available both eodag-authenticated and origin raw assets". If I look at `build_stac_items` again: ```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) ``` Here `origin_assets` are the assets of the product. The code currently replaces their `href` with the server's authenticated download link. To implement `alternate assets`, we should: 1. Save the original `href` of each origin asset. 2. Set the new `href` to be the authenticated link. 3. Add an `alternate` field containing the original `href`. Example: ```python for asset_key, asset_value in origin_assets.items(): # Save original href original_href = asset_value.get("href") # Set server link as href 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 alternate origin link if original_href: origin_assets[asset_key]["alternate"] = { "origin": { "title": "Origin asset link", "href": original_href } } ``` But I should also check if `get_stac_item_from_product` needs this too. Looking at `get_stac_item_from_product`, it calls `jsonpath_parse_dict_items(item_model, ...)` but it doesn't seem to do the `origin_assets` popping and merging. Wait, if `item_model` contains `origin_assets`, then `product_item["assets"]` will have `origin_assets` in it. If the user accesses this item, they will see `origin_assets` as an asset (which is wrong according to STAC, assets should be key-value pairs where keys are asset names). Actually, the logic in `build_stac_items` was trying to flatten `origin_assets` into `assets`. Let's see if there's a common method for this. It seems `build_stac_items` has this logic and `get_stac_item_from_product` doesn't. That's probably a bug in the current codebase (incosistency). Wait, `get_stac_item_from_product` returns `self.as_dict()`. Let's check `as_dict` in `StacItem` (or whatever class `self` is in `get_stac_item_from_product`). Wait, `get_stac_item_from_product` is a method of `StacCatalog` or `StacCommon`? Let's see. `get_stac_item_from_product` is probably in `StacCatalog`. Let's look at 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:450}<tool_call|><|tool_response>
Turn 8at 433 s1,880 tokens out14,402 prompt tokens
The class containing `get_stac_item_from_product` is likely `StacCatalog` (based on the `catalog = StacCatalog(...)` call inside it).

Wait, there is a duplication of logic between `build_stac_items` and `get_stac_item_from_product`.
Ideally, the logic for calculating the server-authenticated links and merging origin assets should be common.

Right now, in `build_stac_items`:
```python
            # parse download link
            url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
            # ... (updating download link)
            
            # add origin assets to product assets
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                # ...
```

This logic is completely missing from `get_stac_item_from_product`.

Wait, if I look at `build_stac_items` again:
It's basically:
1. Compute `product_item` using `item_model`.
2. Fix `downloadLink` asset.
3. Fix `origin_assets` and merge them into `assets`.

`get_stac_item_from_product` only does step 1 (and some formatting).

If the goal is to have this working in server mode, I should probably move this logic to a helper method or ensure both places use it.

Actually, the requested feature specifically mentions "server mode".

Let's create a reproduction script to see what the current output is for a STAC item from the server.

I'll need to mock some `EOProduct` and `StacCatalog` objects.
Looking at `eodag/rest/stac.py`, it depends on `EOProduct`, `StacCatalog`, `jsonpath_parse_dict_items`, etc.

I'll write a reproduction script.
TOOL CALL · write_file
{
  "content": "\nfrom unittest.mock import MagicMock\nfrom eodag.api.product import EOProduct\nfrom eodag.rest.stac import StacCatalog\nfrom urllib.parse import urlparse, urlencode, parse_qs\nfrom typing import Any, Dict, List\nimport json\n\n# Mocking some of the missing pieces if they are hard to instantiate\ndef jsonpath_parse_dict_items(model, data):\n    # Simple mock for jsonpath_parse_dict_items\n    # In reality, it would use jsonpath to extract values from data and put them in model\n    # For the sake of reproduction, let's just simulate its behavior for assets\n    processed_model = {}\n    for k, v in model.items():\n        if k == \"assets\":\n            assets = {}\n            for ak, av in v.items():\n                if ak == \"downloadLink\":\n                    assets[\"downloadLink\"] = {\"href\": \"http://placeholder/download\"}\n                elif ak == \"origin_assets\":\n                    assets[\"origin_assets\"] = data[\"product\"][\"assets\"]\n            processed_model[k] = assets\n        else:\n            processed_model[k] = v\n    return processed_model\n\ndef format_dict_items(d, **args):\n    return d\n\n# Override the real ones for reproduction\nimport eodag.rest.stac\neodag.rest.stac.jsonpath_parse_dict_items = jsonpath_parse_dict_items\neodag.rest.stac.format_dict_items = format_dict_items\n\ndef test_stac_assets():\n    # Setup\n    stac_config = {\n        \"item\": {\n            \"assets\": {\n                \"downloadLink\": {\"href\": \"product.assets.some_link\"},\n                \"origin_assets\": \"product.assets\"\n            }\n        },\n        \"provider\": {},\n        \"stac_extensions\": {}\n    }\n    \n    # Mock EOProduct\n    product = MagicMock(spec=EOProduct)\n    product.provider = \"test_provider\"\n    product.product_type = \"test_type\"\n    \n    # Mock product.assets\n    assets_dict = {\n        \"B01\": {\"href\": \"s3://path/to/B01\", \"title\": \"Asset B01\"},\n        \"B02\": {\"href\": \"s3://path/to/B02\", \"title\": \"Asset B02\"}\n    }\n    \n    # Need product.assets.as_dict() to work\n    product.assets.as_dict.return_value = assets_dict\n    # Need product.assets to be True-ish for the if getattr(product, \"assets\", False) check\n    # Actually MagicMock(spec=EOProduct) will have product.assets = MagicMock() which is True\n    \n    # Setup StacCatalog\n    catalog = MagicMock(spec=StacCatalog)\n    catalog.stac_config = stac_config\n    catalog.url = \"http://127.0.0.1:5000\"\n    catalog.root = \"/\"\n    catalog.provider = \"test_provider\"\n    catalog.eodag_api = MagicMock()\n    catalog.eodag_api.providers_config = {\"test_provider\": MagicMock()}\n    \n    # We want to test the logic inside build_stac_items\n    # Since build_stac_items is a method of the catalog, we can't easily call it \n    # if we mocked the catalog. Let's use the real StacCatalog but mock its dependencies.\n    \n    from eodag.rest.stac import StacCatalog\n    \n    # we need to instantiate StacCatalog. \n    # StacCatalog.__init__ might be complex.\n    # Let's just use the logic from build_stac_items directly in a function.\n    \ndef build_stac_items_logic(search_results, catalog):\n    item_model = catalog.stac_config[\"item\"]\n    item_list = []\n    for product in search_results:\n        product_dict = {\"assets\": product.assets.as_dict()}\n        # simulate jsonpath_parse_dict_items\n        product_item = {\n            \"assets\": {\n                \"downloadLink\": {\"href\": \"http://127.0.0.1:5000/download\"},\n                \"origin_assets\": product.assets.as_dict()\n            }\n        }\n        \n        # The logic to test\n        url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n        without_arg_url = f\"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}\"\n        query_dict = {}\n        \n        # add origin assets to product assets\n        origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n        if getattr(product, \"assets\", False):\n            for asset_key, asset_value in origin_assets.items():\n                origin_assets[asset_key][\"href\"] = without_arg_url + f\"/{asset_key}\"\n            product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n            \n        item_list.append(product_item)\n    return item_list\n\n# Test\nmock_product = MagicMock()\nmock_product.assets.as_dict.return_value = {\n    \"B01\": {\"href\": \"s3://path/to/B01\", \"title\": \"Asset B01\"},\n}\n# Ensure getattr(mock_product, \"assets\", False) is True\nmock_product.assets = MagicMock()\nmock_product.assets.as_dict.return_value = {\n    \"B01\": {\"href\": \"s3://path/to/B01\", \"title\": \"Asset B01\"},\n}\n\nresults = [mock_product]\ncatalog = MagicMock()\ncatalog.stac_config = {\"item\": {}}\n\noutput = build_stac_items_logic(results, catalog)\nprint(json.dumps(output[0][\"assets\"], indent=2))\n\"\n,filepath:"
}
Result of write_file 219 characters
{
  "error": "Invoking `write_file()` failed as the following mandatory input parameters are not present:\nfilepath\nYou could retry calling this tool, but it is IMPORTANT for you to provide all the mandatory parameters."
}
Generated tokens 1,880 tokens · stopped: STOP
The class containing `get_stac_item_from_product` is likely `StacCatalog` (based on the `catalog = StacCatalog(...)` call inside it). Wait, there is a duplication of logic between `build_stac_items` and `get_stac_item_from_product`. Ideally, the logic for calculating the server-authenticated links and merging origin assets should be common. Right now, in `build_stac_items`: ```python # parse download link url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"])) # ... (updating download link) # add origin assets to product assets origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): # ... ``` This logic is completely missing from `get_stac_item_from_product`. Wait, if I look at `build_stac_items` again: It's basically: 1. Compute `product_item` using `item_model`. 2. Fix `downloadLink` asset. 3. Fix `origin_assets` and merge them into `assets`. `get_stac_item_from_product` only does step 1 (and some formatting). If the goal is to have this working in server mode, I should probably move this logic to a helper method or ensure both places use it. Actually, the requested feature specifically mentions "server mode". Let's create a reproduction script to see what the current output is for a STAC item from the server. I'll need to mock some `EOProduct` and `StacCatalog` objects. Looking at `eodag/rest/stac.py`, it depends on `EOProduct`, `StacCatalog`, `jsonpath_parse_dict_items`, etc. I'll write a reproduction script. <channel|><|tool_call>call:write_file{content:<|"|> from unittest.mock import MagicMock from eodag.api.product import EOProduct from eodag.rest.stac import StacCatalog from urllib.parse import urlparse, urlencode, parse_qs from typing import Any, Dict, List import json # Mocking some of the missing pieces if they are hard to instantiate def jsonpath_parse_dict_items(model, data): # Simple mock for jsonpath_parse_dict_items # In reality, it would use jsonpath to extract values from data and put them in model # For the sake of reproduction, let's just simulate its behavior for assets processed_model = {} for k, v in model.items(): if k == "assets": assets = {} for ak, av in v.items(): if ak == "downloadLink": assets["downloadLink"] = {"href": "http://placeholder/download"} elif ak == "origin_assets": assets["origin_assets"] = data["product"]["assets"] processed_model[k] = assets else: processed_model[k] = v return processed_model def format_dict_items(d, **args): return d # Override the real ones for reproduction import eodag.rest.stac eodag.rest.stac.jsonpath_parse_dict_items = jsonpath_parse_dict_items eodag.rest.stac.format_dict_items = format_dict_items def test_stac_assets(): # Setup stac_config = { "item": { "assets": { "downloadLink": {"href": "product.assets.some_link"}, "origin_assets": "product.assets" } }, "provider": {}, "stac_extensions": {} } # Mock EOProduct product = MagicMock(spec=EOProduct) product.provider = "test_provider" product.product_type = "test_type" # Mock product.assets assets_dict = { "B01": {"href": "s3://path/to/B01", "title": "Asset B01"}, "B02": {"href": "s3://path/to/B02", "title": "Asset B02"} } # Need product.assets.as_dict() to work product.assets.as_dict.return_value = assets_dict # Need product.assets to be True-ish for the if getattr(product, "assets", False) check # Actually MagicMock(spec=EOProduct) will have product.assets = MagicMock() which is True # Setup StacCatalog catalog = MagicMock(spec=StacCatalog) catalog.stac_config = stac_config catalog.url = "http://127.0.0.1:5000" catalog.root = "/" catalog.provider = "test_provider" catalog.eodag_api = MagicMock() catalog.eodag_api.providers_config = {"test_provider": MagicMock()} # We want to test the logic inside build_stac_items # Since build_stac_items is a method of the catalog, we can't easily call it # if we mocked the catalog. Let's use the real StacCatalog but mock its dependencies. from eodag.rest.stac import StacCatalog # we need to instantiate StacCatalog. # StacCatalog.__init__ might be complex. # Let's just use the logic from build_stac_items directly in a function. def build_stac_items_logic(search_results, catalog): item_model = catalog.stac_config["item"] item_list = [] for product in search_results: product_dict = {"assets": product.assets.as_dict()} # simulate jsonpath_parse_dict_items product_item = { "assets": { "downloadLink": {"href": "http://127.0.0.1:5000/download"}, "origin_assets": product.assets.as_dict() } } # The logic to test url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"])) without_arg_url = f"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}" query_dict = {} # 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 + f"/{asset_key}" product_item["assets"] = dict(product_item["assets"], **origin_assets) item_list.append(product_item) return item_list # Test mock_product = MagicMock() mock_product.assets.as_dict.return_value = { "B01": {"href": "s3://path/to/B01", "title": "Asset B01"}, } # Ensure getattr(mock_product, "assets", False) is True mock_product.assets = MagicMock() mock_product.assets.as_dict.return_value = { "B01": {"href": "s3://path/to/B01", "title": "Asset B01"}, } results = [mock_product] catalog = MagicMock() catalog.stac_config = {"item": {}} output = build_stac_items_logic(results, catalog) print(json.dumps(output[0]["assets"], indent=2)) " ,filepath:<|"|>/tmp/repro.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.
  [  21.3s] 💭 (910 chars) "The user wants to implement the "alternate assets" STAC extension in the `eodag-server` 
mode.
Specifically, for each ass..."
  [  21.3s] 🔧 run_command grep -rn --include="*.py" -e "STAC" -e "assets" | grep "eodag/rest/stac.py"
  [  21.3s]   → eodag/rest/stac.py:65:STAC_CATALOGS_PREFIX = "catalogs"
  [  29.5s] 💭 (201 chars) "Line 245 and 530 in `eodag/rest/stac.py` show `product_dict["assets"] = 
product.assets.as_dict()`.
Lines 278-291 seem to..."
  [  29.5s] 📖 read_file (eodag/rest/stac.py)
  [  29.5s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '    ) -> List[Dict[str, Any]]:\n        
"""Build STAC ite…
  [  63.9s] 💭 (1878 chars) "Wait, let's look at the current implementation of assets in `eodag/rest/stac.py`:

```python
            product_dict = ..."
  [  63.9s] 🔧 run_command grep -rn "def as_dict" eodag/api/product/
  [  64.0s]   → eodag/api/product/_product.py:189:    def as_dict(self) -> Dict[str, Any]:
  [  67.2s] 💭 (66 chars) "`eodag/api/product/_assets.py` seems to be the one. Let's read it."
  [  67.2s] 📖 read_file (eodag/api/product/_assets.py)
  [  67.2s]   ✓ {'status': 'ok', 'filepath': 'eodag/api/product/_assets.py', 'content': '# -*- coding: utf-8 -*-\n# 
Copyright 2023, CS G…
  [  76.2s] 💭 (237 chars) "The `Asset` class in `eodag/api/product/_assets.py` just returns `self.data`.
The `AssetsDict` class calls `as_dict()` o..."
  [  76.2s] 📖 read_file (eodag/api/product/_product.py)
  [  76.2s]   ✓ {'status': 'ok', 'filepath': 'eodag/api/product/_product.py', 'content': '                        
float(coords[1]),\n   …
  [ 180.6s] 💭 (6741 chars) "Wait, I'm looking at `eodag/rest/stac.py` again.

```python
            product_dict = deepcopy(product.__dict__)
      ..."
  [ 180.6s] 📖 read_file (eodag/rest/stac.py)
  [ 180.7s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '    def get_stac_item_from_product(self, 
product: EOProdu…
  [ 245.2s] 💭 (3993 chars) "Wait, `get_stac_item_from_product` (line 501) does NOT have the `origin_assets` logic that 
`build_stac_items` (line 201)..."
  [ 245.2s] 📖 read_file (eodag/rest/stac.py)
  [ 245.2s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '            
result_item_model["stac_extensions"].remove(\…
  [ 385.5s] 💭 (1607 chars) "The class containing `get_stac_item_from_product` is likely `StacCatalog` (based on the 
`catalog = StacCatalog(...)` cal..."
  [ 385.5s] 📝 write_file (, 130 lines)
  [ 385.5s]   ❌ {'error': 'Invoking `write_file()` failed as the following mandatory input parameters are not 
present:\nfilepath\nYou co…
Native result row
{
  "agent_error": "Agent exceeded session timeout (7.5 min)",
  "duration_seconds": 500.17,
  "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": 500.17,
  "repo": "CS-SI/eodag",
  "request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/cs-si__eodag-961__p0__r0.jsonl",
  "resolved": false,
  "rollout_idx": 0,
  "run_key": "cs-si__eodag-961__p0__r0",
  "strict_clean_patch": false,
  "tool_calls": 7,
  "total_llm_calls": 8,
  "trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_cs-si__eodag-961__p0__r0.json"
}