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ROLLOUT 4 · CS-SI/eodag

cs-si__eodag-961

Not solved
466 stotal time
9tool calls
9model calls
4,262tokens generated
74,327prompt tokens read

Empty agent patch

Turn by turn

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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 36 s369 tokens out3,321 prompt tokens
The goal is to implement a feature in `eodag` server mode to provide both eodag-authenticated download links and the origin raw asset links (using the STAC Alternate Assets extension) in the STAC API response.

Looking at the problem statement:
- `eodag-authenticated` links should be in `href`.
- `origin` raw assets should be in `alternate`.

Example JSON:
```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 identify where the STAC API response is generated in `eodag` server mode.
From the workspace layout, `eodag/rest/stac.py` seems like the most likely place where the STAC API items and assets are constructed.

Let's start by searching for "assets" and "href" in `eodag/rest/stac.py`.
TOOL CALL · run_command
{
  "command": "grep -rn --include=\"*.py\" \"assets\" /workspace/eodag/rest | grep \"stac.py\""
}
Result of run_command 1,418 characters
{
  "status": "ok",
  "stdout": "/workspace/eodag/rest/stac.py:245:            product_dict[\"assets\"] = product.assets.as_dict()\n/workspace/eodag/rest/stac.py:256:            url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n/workspace/eodag/rest/stac.py:268:            _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\n/workspace/eodag/rest/stac.py:274:                product_item[\"assets\"][\"downloadLink\"][\n/workspace/eodag/rest/stac.py:278:            # add origin assets to product assets\n/workspace/eodag/rest/stac.py:279:            origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n/workspace/eodag/rest/stac.py:280:            if getattr(product, \"assets\", False):\n/workspace/eodag/rest/stac.py:282:                for asset_key, asset_value in origin_assets.items():\n/workspace/eodag/rest/stac.py:283:                    origin_assets[asset_key][\"href\"] = without_arg_url\n/workspace/eodag/rest/stac.py:285:                        origin_assets[asset_key][\n/workspace/eodag/rest/stac.py:289:                        origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\n/workspace/eodag/rest/stac.py:291:                product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n/workspace/eodag/rest/stac.py:530:        product_dict[\"assets\"] = product.assets.as_dict()\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 369 tokens · stopped: STOP
<|channel>thought The goal is to implement a feature in `eodag` server mode to provide both eodag-authenticated download links and the origin raw asset links (using the STAC Alternate Assets extension) in the STAC API response. Looking at the problem statement: - `eodag-authenticated` links should be in `href`. - `origin` raw assets should be in `alternate`. Example JSON: ```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 identify where the STAC API response is generated in `eodag` server mode. From the workspace layout, `eodag/rest/stac.py` seems like the most likely place where the STAC API items and assets are constructed. Let's start by searching for "assets" and "href" in `eodag/rest/stac.py`.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "assets" /workspace/eodag/rest | grep "stac.py"<|"|>}<tool_call|><|tool_response>
Turn 2at 43 s103 tokens out4,210 prompt tokens
It looks like `eodag/rest/stac.py` is indeed where the assets are handled.
Lines 245-291 and 530 seem relevant.

Let's read `eodag/rest/stac.py` around those lines.
TOOL CALL · read_file
{
  "end_line": 300,
  "filepath": "eodag/rest/stac.py",
  "start_line": 230
}
Result of read_file 3,265 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "                    )\n\n        item_list: List[Dict[str, Any]] = []\n        for product in search_results:\n            # parse jsonpath\n            provider_dict = jsonpath_parse_dict_items(\n                provider_model,\n                {\n                    \"provider\": self.eodag_api.providers_config[\n                        product.provider\n                    ].__dict__\n                },\n            )\n\n            product_dict = deepcopy(product.__dict__)\n            product_dict[\"assets\"] = product.assets.as_dict()\n\n            product_item = jsonpath_parse_dict_items(\n                item_model,\n                {\n                    \"product\": product_dict,\n                    \"providers\": [provider_dict],\n                },\n            )\n\n            # parse download link\n            url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n            query_dict = parse_qs(url_parts.query)\n            without_arg_url = (\n                f\"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}\"\n                if url_parts.scheme\n                else f\"{url_parts.netloc}{url_parts.path}\"\n            )\n\n            # add provider to query-args\n            if self.provider:\n                query_dict.update(provider=[self.provider])\n            # add datacube query-string to query-args\n            _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\n            if _dc_qs:\n                query_dict.update(_dc_qs=_dc_qs)\n\n            # update download link with up-to-date query-args\n            if query_dict:\n                product_item[\"assets\"][\"downloadLink\"][\n                    \"href\"\n                ] = f\"{without_arg_url}?{urlencode(query_dict, doseq=True)}\"\n\n            # add origin assets to product assets\n            origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n            if getattr(product, \"assets\", False):\n                # replace origin asset urls with eodag-server ones\n                for asset_key, asset_value in origin_assets.items():\n                    origin_assets[asset_key][\"href\"] = without_arg_url\n                    if query_dict:\n                        origin_assets[asset_key][\n                            \"href\"\n                        ] += f\"/{asset_key}?{urlencode(query_dict, doseq=True)}\"\n                    else:\n                        origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\n\n                product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n\n            # apply conversion if needed\n            for prop_key, prop_val in need_conversion.items():\n                conv_func, conv_args = prop_val\n                # colon `:` in key breaks format() method, hide it\n                formatable_prop_key = prop_key.replace(\":\", \"\")\n                if conv_args is not None:\n                    product_item[\"properties\"][prop_key] = format_metadata(\n                        \"{%s#%s(%s)}\" % (formatable_prop_key, conv_func, conv_args),",
  "start_line": 230,
  "end_line": 300,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 103 tokens · stopped: STOP
It looks like `eodag/rest/stac.py` is indeed where the assets are handled. Lines 245-291 and 530 seem relevant. Let's read `eodag/rest/stac.py` around those lines.<channel|><|tool_call>call:read_file{end_line:300,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:230}<tool_call|><|tool_response>
Turn 3at 161 s1,984 tokens out5,201 prompt tokens
Looking at 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)
```

Wait, `origin_assets` is popped from `product_item["assets"]`. Then it replaces the entries in `product_item["assets"]` with eodag-server URLs.

The requirement is to have the eodag-authenticated link as `href` and the origin raw asset link in `alternate.origin`.

In the current code:
1. `product_item["assets"]` probably contains `downloadLink` and `origin_assets`.
2. `origin_assets` is popped.
3. The code iterates over `origin_assets` and *overwrites* their `href` with the eodag-server link.
4. Then it merges `origin_assets` back into `product_item["assets"]`.

So currently, if `origin_assets` contains `B01`, the resulting `product_item["assets"]["B01"]["href"]` will be the eodag-server link. The original raw asset link is lost.

I need to:
1. Keep the raw asset link.
2. Put the eodag-server link in `href`.
3. Put the original raw asset link in `alternate: { origin: { href: ... } }`.

Let's see where `origin_assets` comes from. It's parsed via `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`.

I should check `item_model` and how `origin_assets` are populated. But the `origin_assets` dictionary already contains the original `href`.

Wait, if I look at lines 282-289:
```python
                for asset_key, asset_value in origin_assets.items():
                    origin_assets[asset_key]["href"] = without_arg_url
                    if query_dict:
                        origin_assets[asset_key][
                            "href"
                        ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
                    else:
                        origin_assets[asset_key]["href"] += f"/{asset_key}"
```
Here `origin_assets[asset_key]["href"]` is being overwritten. I should save the original `href` before overwriting it.

Let's double check the structure of `origin_assets`.
If `origin_assets[asset_key]` is a dict like `{"href": "s3://...", "title": "..."}`, I can do:
```python
                for asset_key, asset_value in origin_assets.items():
                    original_href = asset_value.get("href")
                    # ... set eodag-server url to asset_value["href"] ...
                    asset_value["alternate"] = {
                        "origin": {
                            "href": original_href,
                            "title": asset_value.get("title", "Origin asset link")
                        }
                    }
```
Wait, the 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"
            }
          }
        }
```
So the eodag-server link goes into `href`. The original raw asset link (if available) goes into `alternate.origin.href`.

Let's see what `asset_value` contains before the overwrite.
I suspect `origin_assets` comes from `product.assets.as_dict()` via `jsonpath_parse_dict_items`.

Let's look at `eodag/rest/stac.py` more carefully.

```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],
                },
            )
```

And then:
```python
            # add origin assets to product assets
            origin_assets = product_item["assets"].pop("origin_assets")
```

So `product_item["assets"]["origin_assets"]` contains the raw assets.

I should modify the loop:
```python
            # add origin assets to product assets
            origin_assets = product_item["assets"].pop("origin_assets")
            if getattr(product, "assets", False):
                # replace origin asset urls with eodag-server ones
                for asset_key, asset_value in origin_assets.items():
                    # Save original href
                    original_href = asset_value.get("href")
                    original_title = asset_value.get("title", "Origin asset link")

                    # Set eodag-server url to 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}"
                    
                    # Set title for eodag-server link
                    origin_assets[asset_key]["title"] = "Download link"

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

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

Wait, the `asset_value` is a reference to the dict inside `origin_assets`.

Let's check if `product_item["assets"]` might already have these keys.
The loop `for asset_key, asset_value in origin_assets.items():` updates `origin_assets[asset_key]["href"]`.

Let's verify the logic.
Before:
`origin_assets = {"B01": {"href": "s3://...", "title": "Original Title"}}`
After my proposed change:
`origin_assets = {"B01": {"href": "http://.../B01", "title": "Download link", "alternate": {"origin": {"title": "Original Title", "href": "s3://..."}}}}`
This matches the requirement.

Wait, the original code had:
```python
                for asset_key, asset_value in origin_assets.items():
                    origin_assets[asset_key]["href"] = without_arg_url
                    if query_dict:
                        origin_assets[asset_key][
                            "href"
                        ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
                    else:
                        origin_assets[asset_key]["href"] += f"/{asset_key}"
```
Note that it uses `origin_assets[asset_key]["href"]` instead of `asset_value["href"]`. Both work since `asset_value` is the same object.

I should also check if there's any other place where assets are handled. Line 530:
`product_dict["assets"] = product.assets.as_dict()`
Let's check around line 530 in `eodag/rest/stac.py`.
TOOL CALL · read_file
{
  "end_line": 550,
  "filepath": "eodag/rest/stac.py",
  "start_line": 510
}
Result of read_file 1,664 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "        item_model = self.__filter_item_model_properties(\n            self.stac_config[\"item\"], product_type\n        )\n        provider_model = deepcopy(self.stac_config[\"provider\"])\n\n        provider_dict = jsonpath_parse_dict_items(\n            provider_model,\n            {\"provider\": self.eodag_api.providers_config[product.provider].__dict__},\n        )\n\n        catalog = StacCatalog(\n            url=self.url.split(\"/items\")[0],\n            stac_config=self.stac_config,\n            root=self.root,\n            provider=self.provider,\n            eodag_api=self.eodag_api,\n            catalogs=[product_type],\n        )\n\n        product_dict = deepcopy(product.__dict__)\n        product_dict[\"assets\"] = product.assets.as_dict()\n\n        # parse jsonpath\n        product_item = jsonpath_parse_dict_items(\n            item_model,\n            {\n                \"product\": product_dict,\n                \"providers\": provider_dict,\n            },\n        )\n        # parse f-strings\n        format_args = deepcopy(self.stac_config)\n        format_args[\"catalog\"] = dict(\n            catalog.as_dict(), **{\"url\": catalog.url, \"root\": catalog.root}\n        )\n        format_args[\"item\"] = product_item\n        product_item = format_dict_items(product_item, **format_args)\n        product_item[\"bbox\"] = [float(i) for i in product_item[\"bbox\"]]\n\n        # remove empty properties\n        product_item = self.__filter_item_properties_values(product_item)",
  "start_line": 510,
  "end_line": 550,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 1,984 tokens · stopped: STOP
Looking at 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) ``` Wait, `origin_assets` is popped from `product_item["assets"]`. Then it replaces the entries in `product_item["assets"]` with eodag-server URLs. The requirement is to have the eodag-authenticated link as `href` and the origin raw asset link in `alternate.origin`. In the current code: 1. `product_item["assets"]` probably contains `downloadLink` and `origin_assets`. 2. `origin_assets` is popped. 3. The code iterates over `origin_assets` and *overwrites* their `href` with the eodag-server link. 4. Then it merges `origin_assets` back into `product_item["assets"]`. So currently, if `origin_assets` contains `B01`, the resulting `product_item["assets"]["B01"]["href"]` will be the eodag-server link. The original raw asset link is lost. I need to: 1. Keep the raw asset link. 2. Put the eodag-server link in `href`. 3. Put the original raw asset link in `alternate: { origin: { href: ... } }`. Let's see where `origin_assets` comes from. It's parsed via `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`. I should check `item_model` and how `origin_assets` are populated. But the `origin_assets` dictionary already contains the original `href`. Wait, if I look at lines 282-289: ```python for asset_key, asset_value in origin_assets.items(): origin_assets[asset_key]["href"] = without_arg_url if query_dict: origin_assets[asset_key][ "href" ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}" else: origin_assets[asset_key]["href"] += f"/{asset_key}" ``` Here `origin_assets[asset_key]["href"]` is being overwritten. I should save the original `href` before overwriting it. Let's double check the structure of `origin_assets`. If `origin_assets[asset_key]` is a dict like `{"href": "s3://...", "title": "..."}`, I can do: ```python for asset_key, asset_value in origin_assets.items(): original_href = asset_value.get("href") # ... set eodag-server url to asset_value["href"] ... asset_value["alternate"] = { "origin": { "href": original_href, "title": asset_value.get("title", "Origin asset link") } } ``` Wait, the 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" } } } ``` So the eodag-server link goes into `href`. The original raw asset link (if available) goes into `alternate.origin.href`. Let's see what `asset_value` contains before the overwrite. I suspect `origin_assets` comes from `product.assets.as_dict()` via `jsonpath_parse_dict_items`. Let's look at `eodag/rest/stac.py` more carefully. ```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], }, ) ``` And then: ```python # add origin assets to product assets origin_assets = product_item["assets"].pop("origin_assets") ``` So `product_item["assets"]["origin_assets"]` contains the raw assets. I should modify the loop: ```python # add origin assets to product assets origin_assets = product_item["assets"].pop("origin_assets") if getattr(product, "assets", False): # replace origin asset urls with eodag-server ones for asset_key, asset_value in origin_assets.items(): # Save original href original_href = asset_value.get("href") original_title = asset_value.get("title", "Origin asset link") # Set eodag-server url to 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}" # Set title for eodag-server link origin_assets[asset_key]["title"] = "Download link" # Add alternate origin asset if original_href: origin_assets[asset_key]["alternate"] = { "origin": { "title": original_title, "href": original_href, } } product_item["assets"] = dict(product_item["assets"], **origin_assets) ``` Wait, the `asset_value` is a reference to the dict inside `origin_assets`. Let's check if `product_item["assets"]` might already have these keys. The loop `for asset_key, asset_value in origin_assets.items():` updates `origin_assets[asset_key]["href"]`. Let's verify the logic. Before: `origin_assets = {"B01": {"href": "s3://...", "title": "Original Title"}}` After my proposed change: `origin_assets = {"B01": {"href": "http://.../B01", "title": "Download link", "alternate": {"origin": {"title": "Original Title", "href": "s3://..."}}}}` This matches the requirement. Wait, the original code had: ```python for asset_key, asset_value in origin_assets.items(): origin_assets[asset_key]["href"] = without_arg_url if query_dict: origin_assets[asset_key][ "href" ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}" else: origin_assets[asset_key]["href"] += f"/{asset_key}" ``` Note that it uses `origin_assets[asset_key]["href"]` instead of `asset_value["href"]`. Both work since `asset_value` is the same object. I should also check if there's any other place where assets are handled. Line 530: `product_dict["assets"] = product.assets.as_dict()` Let's check around line 530 in `eodag/rest/stac.py`. <channel|><|tool_call>call:read_file{end_line:550,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:510}<tool_call|><|tool_response>
Turn 4at 182 s277 tokens out7,696 prompt tokens
This part seems to be for a single item. It uses `jsonpath_parse_dict_items` and then `format_dict_items`. It doesn't seem to have the same asset rewriting logic as the loop in lines 245-291.

Wait, if the asset rewriting is only done in the search results loop, then the single item endpoint might not be providing authenticated links for the origin assets.

Let's check if `format_dict_items` or `jsonpath_parse_dict_items` handles this.
`item_model` is used in both cases.

Let's see what `item_model` looks like. It's in `self.stac_config["item"]`.

Wait, the logic for rewriting `href` and adding `origin_assets` is explicitly written in the loop for search results. If I want it for single items too, I should probably extract it into a method.

Let's see where the single item endpoint is. It's probably in `eodag/rest/stac.py`.
I'll search for `get_item` or similar.
TOOL CALL · run_command
{
  "command": "grep -n \"def \" eodag/rest/stac.py"
}
Result of run_command 1,906 characters
{
  "status": "ok",
  "stdout": "83:    def __init__(\n99:    def update_data(self, data: Dict[str, Any]) -> None:\n130:    def get_stac_extension(\n156:    def as_dict(self) -> Dict[str, Any]:\n182:    def __init__(\n198:    def __get_item_list(\n337:    def get_stac_items(\n396:    def __filter_item_model_properties(\n467:    def __filter_item_properties_values(self, item: Dict[str, Any]) -> Dict[str, Any]:\n500:    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n571:    def __init__(\n587:    def __get_product_types(\n613:    def __get_collection_list(\n672:    def get_collections(\n707:    def get_collection_by_id(self, collection_id: str) -> Dict[str, Any]:\n748:    def __init__(\n785:    def __update_data_from_catalog_config(self, catalog_config: Dict[str, Any]) -> bool:\n809:    def set_children(self, children: List[Dict[str, Any]] = []) -> bool:\n822:    def set_stac_product_type_by_id(\n858:    def get_stac_years_list(self, **kwargs: Any) -> List[int]:\n868:    def get_stac_months_list(self, **kwargs: Any) -> List[int]:\n883:    def get_stac_days_list(self, **kwargs: Any) -> List[int]:\n897:    def set_stac_year_by_id(self, year: str, **kwargs: Any) -> Dict[str, Any]:\n924:    def set_stac_month_by_id(self, month: str, **kwargs: Any) -> Dict[str, Any]:\n955:    def set_stac_day_by_id(self, day: str, **kwargs: Any) -> Dict[str, Any]:\n987:    def get_datetime_extent(self) -> Tuple[datetime, datetime]:\n1015:    def set_stac_date(\n1060:    def get_stac_cloud_covers_list(self, **kwargs: Any) -> List[int]:\n1068:    def set_stac_cloud_cover_by_id(\n1094:    def get_stac_location_list(self, catalog_name: str) -> List[str]:\n1129:    def set_stac_location_by_id(\n1190:    def build_locations_config(self) -> Dict[str, str]:\n1215:    def __build_stac_catalog(\n1381:    def get_stac_catalog(self) -> Dict[str, Any]:\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 277 tokens · stopped: STOP
This part seems to be for a single item. It uses `jsonpath_parse_dict_items` and then `format_dict_items`. It doesn't seem to have the same asset rewriting logic as the loop in lines 245-291. Wait, if the asset rewriting is only done in the search results loop, then the single item endpoint might not be providing authenticated links for the origin assets. Let's check if `format_dict_items` or `jsonpath_parse_dict_items` handles this. `item_model` is used in both cases. Let's see what `item_model` looks like. It's in `self.stac_config["item"]`. Wait, the logic for rewriting `href` and adding `origin_assets` is explicitly written in the loop for search results. If I want it for single items too, I should probably extract it into a method. Let's see where the single item endpoint is. It's probably in `eodag/rest/stac.py`. I'll search for `get_item` or similar. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "def " eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 5at 234 s779 tokens out8,778 prompt tokens
`get_stac_item_from_product` (line 500) seems to be the method for a single item.
And `__get_item_list` (line 198) is the one I was looking at before (lines 230-300).

Let's look at `__get_item_list` again. It processes the `search_results`.

```python
    def __get_item_list(self, search_results, product_type, provider_model):
        # ... (lines 230-300)
```

The logic to rewrite assets is duplicated if I just copy it to `get_stac_item_from_product`.
Wait, `__get_item_list` calls `jsonpath_parse_dict_items` and then does some manual rewriting.

If I look at `get_stac_item_from_product`:
```python
    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:
        # ... (lines 500-550)
        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 do the asset rewriting! This means `get_stac_item` (which probably calls this) doesn't return authenticated links for origin assets.

Wait, the problem statement says:
"In server mode, once #721 is done, make available both eodag-authenticated and origin raw assets"

It doesn't explicitly say it must be in both `__get_item_list` and `get_stac_item_from_product`, but for consistency it should.

Let's see if I can find a common place to put this logic.

Actually, first let's try to reproduce.
But I don't have an eodag server running. I can write a small test case that calls `__get_item_list` or `get_stac_item_from_product` using a mock `EOProduct`.

Let's see how `EOProduct` and its `assets` are defined.
`EOProduct` is likely from `eodag.api.product`.

I'll look at `eodag/api/product.py` or where `EOProduct` is defined.
Actually, I can just mock it.

Let's try to create a minimal reproduction script.
I need a `StacServer` instance (which is what has `__get_item_list` and `get_stac_item_from_product`).
`StacServer` is defined in `eodag/rest/stac.py`. It's likely a class.

Looking at `eodag/rest/stac.py` again:
```python
class StacServer: # (or whatever it's called)
```
Wait, I didn't see the class definition in my `grep`. Let's check the top of the file.
TOOL CALL · read_file
{
  "end_line": 100,
  "filepath": "eodag/rest/stac.py",
  "start_line": 1
}
Result of read_file 3,252 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "# -*- coding: utf-8 -*-\n# Copyright 2018, CS Systemes d'Information, https://www.csgroup.eu/\n#\n# This file is part of EODAG project\n#     https://www.github.com/CS-SI/EODAG\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nfrom __future__ import annotations\n\nimport logging\nimport os\nfrom collections import defaultdict\nfrom datetime import datetime, timezone\nfrom typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, cast\nfrom urllib.parse import parse_qs, urlencode, urlparse\n\nimport dateutil.parser\nimport geojson\nimport shapefile\nfrom dateutil import tz\nfrom dateutil.relativedelta import relativedelta\nfrom shapely.geometry import shape\nfrom shapely.geometry.base import BaseGeometry\nfrom shapely.ops import unary_union\n\nfrom eodag.api.product.metadata_mapping import (\n    DEFAULT_METADATA_MAPPING,\n    format_metadata,\n    get_metadata_path,\n)\nfrom eodag.utils import (\n    deepcopy,\n    dict_items_recursive_apply,\n    format_dict_items,\n    jsonpath_parse_dict_items,\n    string_to_jsonpath,\n    update_nested_dict,\n    urljoin,\n)\nfrom eodag.utils.exceptions import (\n    NoMatchingProductType,\n    NotAvailableError,\n    ValidationError,\n)\n\nif TYPE_CHECKING:\n    from eodag.api.core import EODataAccessGateway\n    from eodag.api.product import EOProduct\n    from eodag.api.search_result import SearchResult\n\n\nlogger = logging.getLogger(\"eodag.rest.stac\")\n\nDEFAULT_MISSION_START_DATE = \"2015-01-01T00:00:00Z\"\nSTAC_CATALOGS_PREFIX = \"catalogs\"\n\n\nclass StacCommon:\n    \"\"\"Stac common object\n\n    :param url: Requested URL\n    :type url: str\n    :param stac_config: STAC configuration from stac.yml conf file\n    :type stac_config: dict\n    :param provider: (optional) Chosen provider\n    :type provider: str\n    :param eodag_api: EODAG python API instance\n    :type eodag_api: :class:`eodag.api.core.EODataAccessGateway`\n    :param root: (optional) API root\n    :type root: str\n    \"\"\"\n\n    def __init__(\n        self,\n        url: str,\n        stac_config: Dict[str, Any],\n        provider: Optional[str],\n        eodag_api: EODataAccessGateway,\n        root: str = \"/\",\n    ) -> None:\n        self.url = url.rstrip(\"/\") if len(url) > 1 else url\n        self.stac_config = stac_config\n        self.provider = provider\n        self.eodag_api = eodag_api\n        self.root = root.rstrip(\"/\") if len(root) > 1 else root\n\n        self.data: Dict[str, Any] = {}\n\n    def update_data(self, data: Dict[str, Any]) -> None:\n        \"\"\"Updates data using given input STAC dict data",
  "start_line": 1,
  "end_line": 100,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 779 tokens · stopped: STOP
`get_stac_item_from_product` (line 500) seems to be the method for a single item. And `__get_item_list` (line 198) is the one I was looking at before (lines 230-300). Let's look at `__get_item_list` again. It processes the `search_results`. ```python def __get_item_list(self, search_results, product_type, provider_model): # ... (lines 230-300) ``` The logic to rewrite assets is duplicated if I just copy it to `get_stac_item_from_product`. Wait, `__get_item_list` calls `jsonpath_parse_dict_items` and then does some manual rewriting. If I look at `get_stac_item_from_product`: ```python def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]: # ... (lines 500-550) 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 do the asset rewriting! This means `get_stac_item` (which probably calls this) doesn't return authenticated links for origin assets. Wait, the problem statement says: "In server mode, once #721 is done, make available both eodag-authenticated and origin raw assets" It doesn't explicitly say it must be in both `__get_item_list` and `get_stac_item_from_product`, but for consistency it should. Let's see if I can find a common place to put this logic. Actually, first let's try to reproduce. But I don't have an eodag server running. I can write a small test case that calls `__get_item_list` or `get_stac_item_from_product` using a mock `EOProduct`. Let's see how `EOProduct` and its `assets` are defined. `EOProduct` is likely from `eodag.api.product`. I'll look at `eodag/api/product.py` or where `EOProduct` is defined. Actually, I can just mock it. Let's try to create a minimal reproduction script. I need a `StacServer` instance (which is what has `__get_item_list` and `get_stac_item_from_product`). `StacServer` is defined in `eodag/rest/stac.py`. It's likely a class. Looking at `eodag/rest/stac.py` again: ```python class StacServer: # (or whatever it's called) ``` Wait, I didn't see the class definition in my `grep`. Let's check the top of the file. <channel|><|tool_call>call:read_file{end_line:100,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 6at 246 s164 tokens out10,611 prompt tokens
It is `StacCommon`. No, wait. `StacCommon` seems to have `update_data`.

Looking at the functions I found earlier:
`get_stac_items` (line 337)
`get_stac_item_from_product` (line 500)
`get_collections` (line 672)
`get_stac_catalog` (line 1381)

Let's see what class they belong to.
I'll check around line 337.
TOOL CALL · read_file
{
  "end_line": 350,
  "filepath": "eodag/rest/stac.py",
  "start_line": 330
}
Result of read_file 881 characters
{
  "status": "ok",
  "filepath": "eodag/rest/stac.py",
  "content": "                    \"href\"\n                ] = f\"{without_arg_url}?{urlencode(query_dict, doseq=True)}\"\n\n            item_list.append(product_item)\n\n        return item_list\n\n    def get_stac_items(\n        self, search_results: SearchResult, catalog: Dict[str, Any]\n    ) -> Dict[str, Any]:\n        \"\"\"Build STAC items 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: Items dictionnary\n        :rtype: dict\n        \"\"\"\n        items_model = deepcopy(self.stac_config[\"items\"])\n",
  "start_line": 330,
  "end_line": 350,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 164 tokens · stopped: STOP
It is `StacCommon`. No, wait. `StacCommon` seems to have `update_data`. Looking at the functions I found earlier: `get_stac_items` (line 337) `get_stac_item_from_product` (line 500) `get_collections` (line 672) `get_stac_catalog` (line 1381) Let's see what class they belong to. I'll check around line 337. <channel|><|tool_call>call:read_file{end_line:350,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:330}<tool_call|><|tool_response>
Turn 7at 252 s93 tokens out11,073 prompt tokens
Wait, `get_stac_items` is a method of some class. Looking at the indentation, it's a method.
Let's check what class it belongs to. I'll look for `class` keywords in `eodag/rest/stac.py`.
TOOL CALL · run_command
{
  "command": "grep -n \"class \" 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 93 tokens · stopped: STOP
Wait, `get_stac_items` is a method of some class. Looking at the indentation, it's a method. Let's check what class it belongs to. I'll look for `class` keywords in `eodag/rest/stac.py`. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "class " eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 8at 259 s121 tokens out11,255 prompt tokens
`get_stac_items` (line 337) is in `StacItem`. Let's check `StacItem` definition.

```python
167:class StacItem(StacCommon):
```

Let's check `StacItem` methods.
TOOL CALL · run_command
{
  "command": "grep -n \"def \" eodag/rest/stac.py | grep -E \"167|[^0-9]\" # This is not efficient. Just read the file.\n"
}
Result of run_command 1,906 characters
{
  "status": "ok",
  "stdout": "83:    def __init__(\n99:    def update_data(self, data: Dict[str, Any]) -> None:\n130:    def get_stac_extension(\n156:    def as_dict(self) -> Dict[str, Any]:\n182:    def __init__(\n198:    def __get_item_list(\n337:    def get_stac_items(\n396:    def __filter_item_model_properties(\n467:    def __filter_item_properties_values(self, item: Dict[str, Any]) -> Dict[str, Any]:\n500:    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n571:    def __init__(\n587:    def __get_product_types(\n613:    def __get_collection_list(\n672:    def get_collections(\n707:    def get_collection_by_id(self, collection_id: str) -> Dict[str, Any]:\n748:    def __init__(\n785:    def __update_data_from_catalog_config(self, catalog_config: Dict[str, Any]) -> bool:\n809:    def set_children(self, children: List[Dict[str, Any]] = []) -> bool:\n822:    def set_stac_product_type_by_id(\n858:    def get_stac_years_list(self, **kwargs: Any) -> List[int]:\n868:    def get_stac_months_list(self, **kwargs: Any) -> List[int]:\n883:    def get_stac_days_list(self, **kwargs: Any) -> List[int]:\n897:    def set_stac_year_by_id(self, year: str, **kwargs: Any) -> Dict[str, Any]:\n924:    def set_stac_month_by_id(self, month: str, **kwargs: Any) -> Dict[str, Any]:\n955:    def set_stac_day_by_id(self, day: str, **kwargs: Any) -> Dict[str, Any]:\n987:    def get_datetime_extent(self) -> Tuple[datetime, datetime]:\n1015:    def set_stac_date(\n1060:    def get_stac_cloud_covers_list(self, **kwargs: Any) -> List[int]:\n1068:    def set_stac_cloud_cover_by_id(\n1094:    def get_stac_location_list(self, catalog_name: str) -> List[str]:\n1129:    def set_stac_location_by_id(\n1190:    def build_locations_config(self) -> Dict[str, str]:\n1215:    def __build_stac_catalog(\n1381:    def get_stac_catalog(self) -> Dict[str, Any]:\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 121 tokens · stopped: STOP
`get_stac_items` (line 337) is in `StacItem`. Let's check `StacItem` definition. ```python 167:class StacItem(StacCommon): ``` Let's check `StacItem` methods.<channel|><|tool_call>call:run_command{command:<|"|>grep -n "def " eodag/rest/stac.py | grep -E "167|[^0-9]" # This is not efficient. Just read the file. <|"|>}<tool_call|><|tool_response>
Turn 9at 280 s372 tokens out12,182 prompt tokens
Okay, so `StacItem` has `__get_item_list` and `get_stac_item_from_product`.

I should encapsulate the asset rewriting logic into a separate method in `StacItem` and call it from both `__get_item_list` and `get_stac_item_from_product`.

Let's see if I can find where `item_model` is defined for `get_stac_item_from_product`.

```python
    def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:
        # ...
        item_model = self.__filter_item_model_properties(
            self.stac_config["item"], product_type
        )
        # ...
```

And for `__get_item_list`:
It's called by `get_stac_items`:
```python
    def get_stac_items(
        self, search_results: SearchResult, catalog: Dict[str, Any]
    ) -> Dict[str, Any]:
        # ...
        items_model = deepcopy(self.stac_config["items"])
        # ...
        item_list = self.__get_item_list(search_results, product_type, provider_model)
```
Wait, `__get_item_list` doesn't take `item_model` as an argument? Let's check its definition.
TOOL CALL · read_file
{
  "end_line": 230,
  "filepath": "eodag/rest/stac.py",
  "start_line": 180
}
Result of read_file 2,003 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]]:\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                    )",
  "start_line": 180,
  "end_line": 230,
  "total_lines": 1387,
  "is_truncated": false
}
Generated tokens 372 tokens · stopped: STOP
Okay, so `StacItem` has `__get_item_list` and `get_stac_item_from_product`. I should encapsulate the asset rewriting logic into a separate method in `StacItem` and call it from both `__get_item_list` and `get_stac_item_from_product`. Let's see if I can find where `item_model` is defined for `get_stac_item_from_product`. ```python def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]: # ... item_model = self.__filter_item_model_properties( self.stac_config["item"], product_type ) # ... ``` And for `__get_item_list`: It's called by `get_stac_items`: ```python def get_stac_items( self, search_results: SearchResult, catalog: Dict[str, Any] ) -> Dict[str, Any]: # ... items_model = deepcopy(self.stac_config["items"]) # ... item_list = self.__get_item_list(search_results, product_type, provider_model) ``` Wait, `__get_item_list` doesn't take `item_model` as an argument? Let's check its definition. <channel|><|tool_call>call:read_file{end_line:230,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:180}<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.
  [  23.0s] 💭 (1086 chars) "The goal is to implement a feature in `eodag` server mode to provide both 
eodag-authenticated download links and the ori..."
  [  23.0s] 🔧 run_command grep -rn --include="*.py" "assets" /workspace/eodag/rest | grep "stac.py"
  [  23.1s]   → /workspace/eodag/rest/stac.py:245:            product_dict["assets"] = product.assets.as_dict()
  [  29.4s] 💭 (164 chars) "It looks like `eodag/rest/stac.py` is indeed where the assets are handled.
Lines 245-291 and 530 seem relevant.

Let's r..."
  [  29.4s] 📖 read_file (eodag/rest/stac.py)
  [  29.4s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '                    )\n\n        
item_list: List[Dict[str…
  [ 147.6s] 💭 (7472 chars) "Looking at lines 278-291:
```python
            # add origin assets to product assets
            origin_assets = produc..."
  [ 147.6s] 📖 read_file (eodag/rest/stac.py)
  [ 147.7s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '        item_model = 
self.__filter_item_model_properties(…
  [ 168.5s] 💭 (874 chars) "This part seems to be for a single item. It uses `jsonpath_parse_dict_items` and then 
`format_dict_items`. It doesn't se..."
  [ 168.5s] 🔧 run_command grep -n "def " eodag/rest/stac.py
  [ 168.6s]   → 83:    def __init__(
  [ 220.5s] 💭 (2350 chars) "`get_stac_item_from_product` (line 500) seems to be the method for a single item.
And `__get_item_list` (line 198) is th..."
  [ 220.5s] 📖 read_file (eodag/rest/stac.py)
  [ 220.6s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '# -*- coding: utf-8 -*-\n# Copyright 
2018, CS Systemes d\…
  [ 232.7s] 💭 (308 chars) "It is `StacCommon`. No, wait. `StacCommon` seems to have `update_data`.

Looking at the functions I found earlier:
`get_..."
  [ 232.7s] 📖 read_file (eodag/rest/stac.py)
  [ 232.8s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '                    "href"\n             
] = f"{withou…
  [ 238.4s] 💭 (186 chars) "Wait, `get_stac_items` is a method of some class. Looking at the indentation, it's a method.
Let's check what class it b..."
  [ 238.4s] 🔧 run_command grep -n "class " eodag/rest/stac.py
  [ 238.4s]   → 68:class StacCommon:
  [ 245.3s] 💭 (160 chars) "`get_stac_items` (line 337) is in `StacItem`. Let's check `StacItem` definition.

```python
167:class StacItem(StacCommo..."
  [ 245.3s] 🔧 run_command grep -n "def " eodag/rest/stac.py | grep -E "167|[^0-9]" # This is not efficient
  [ 245.4s]   → 83:    def __init__(
  [ 266.5s] 💭 (1024 chars) "Okay, so `StacItem` has `__get_item_list` and `get_stac_item_from_product`.

I should encapsulate the asset rewriting lo..."
  [ 266.5s] 📖 read_file (eodag/rest/stac.py)
  [ 266.5s]   ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '    """\n\n    def __init__(\n        
self,\n        url:…
Native result row
{
  "agent_error": "Agent exceeded session timeout (7.5 min)",
  "duration_seconds": 465.72,
  "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": 465.72,
  "repo": "CS-SI/eodag",
  "request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/cs-si__eodag-961__p0__r4.jsonl",
  "resolved": false,
  "rollout_idx": 4,
  "run_key": "cs-si__eodag-961__p0__r4",
  "strict_clean_patch": false,
  "tool_calls": 9,
  "total_llm_calls": 9,
  "trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_cs-si__eodag-961__p0__r4.json"
}