ROLLOUT 1 · CS-SI/eodag
cs-si__eodag-961
Not solved
454 stotal time
17tool calls
17model calls
6,304tokens generated
150,977prompt 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 25 s341 tokens out3,321 prompt tokens
The objective is to make both eodag-authenticated and origin raw assets available in server mode, following the STAC Alternate Assets extension. Looking at the provided JSON example: - The `href` of the asset should be the eodag-authenticated link (e.g., `http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01`). - The `alternate` field should contain an `origin` object with the `href` to the raw asset (e.g., `s3://path/to/B01-asset`). I need to find where the STAC API response is constructed in server mode. Based on the workspace layout: - `eodag/rest/stac.py` seems like a likely place where STAC items are generated. - `eodag/rest/server.py` probably sets up the server. - `eodag/api/product` might contain the logic for product assets. Let's start by searching for "assets" or "STAC" or "alternate" in `eodag/rest/stac.py` and other relevant files.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" -e \"assets\" -e \"STAC\" eodag/rest/stac.py eodag/rest/server.py eodag/api/product | grep -v \"tests\" | head -n 20"
}Result of run_command 1,769 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():\n",
"stderr": "",
"exit_code": 0
}Generated tokens 341 tokens · stopped: STOP
<|channel>thought
The objective is to make both eodag-authenticated and origin raw assets available in server mode, following the STAC Alternate Assets extension.
Looking at the provided JSON example:
- The `href` of the asset should be the eodag-authenticated link (e.g., `http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01`).
- The `alternate` field should contain an `origin` object with the `href` to the raw asset (e.g., `s3://path/to/B01-asset`).
I need to find where the STAC API response is constructed in server mode.
Based on the workspace layout:
- `eodag/rest/stac.py` seems like a likely place where STAC items are generated.
- `eodag/rest/server.py` probably sets up the server.
- `eodag/api/product` might contain the logic for product assets.
Let's start by searching for "assets" or "STAC" or "alternate" in `eodag/rest/stac.py` and other relevant files.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" -e "assets" -e "STAC" eodag/rest/stac.py eodag/rest/server.py eodag/api/product | grep -v "tests" | head -n 20<|"|>}<tool_call|><|tool_response>
Turn 2at 30 s99 tokens out4,321 prompt tokens
It seems `eodag/rest/stac.py` is where the magic happens. Specifically, lines 245-282 seem very 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": 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 99 tokens · stopped: STOP
It seems `eodag/rest/stac.py` is where the magic happens.
Specifically, lines 245-282 seem very relevant.
Let's read `eodag/rest/stac.py` around those lines.
<channel|><|tool_call>call:read_file{filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:200,end_line:300}<tool_call|><|tool_response>
Turn 3at 61 s432 tokens out5,665 prompt tokens
Looking at lines 278-288:
```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)
```
The current implementation *replaces* the origin asset URLs with eodag-server URLs.
The requirement is to keep the eodag-server URL as the main `href` and put the origin asset URL in `alternate/origin/href`.
Wait, `origin_assets` comes from `product_item["assets"].pop("origin_assets")`.
`product_item` is constructed from `item_model` and `product_dict`.
`product_dict["assets"] = product.assets.as_dict()`.
Let's see what `product.assets.as_dict()` returns.
I suspect `product` is an instance of some class in `eodag.api.product`.
Let's check `eodag/api/product` to see if there's an `Assets` class.
Wait, the path is `eodag/api/product`. It's a directory.
Let's see what's inside.
TOOL CALL · run_command
{
"command": "ls eodag/api/product"
}Result of run_command 128 characters
{
"status": "ok",
"stdout": "__init__.py\n_assets.py\n_product.py\ndrivers\nmetadata_mapping.py\n",
"stderr": "",
"exit_code": 0
}Generated tokens 432 tokens · stopped: STOP
Looking at lines 278-288:
```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)
```
The current implementation *replaces* the origin asset URLs with eodag-server URLs.
The requirement is to keep the eodag-server URL as the main `href` and put the origin asset URL in `alternate/origin/href`.
Wait, `origin_assets` comes from `product_item["assets"].pop("origin_assets")`.
`product_item` is constructed from `item_model` and `product_dict`.
`product_dict["assets"] = product.assets.as_dict()`.
Let's see what `product.assets.as_dict()` returns.
I suspect `product` is an instance of some class in `eodag.api.product`.
Let's check `eodag/api/product` to see if there's an `Assets` class.
Wait, the path is `eodag/api/product`. It's a directory.
Let's see what's inside.
<channel|><|tool_call>call:run_command{command:<|"|>ls eodag/api/product<|"|>}<tool_call|><|tool_response>
Turn 4at 80 s312 tokens out6,162 prompt tokens
It seems `eodag/api/product/_assets.py` is where `Assets` class might be.
But the core change is in `eodag/rest/stac.py`.
Current logic in `eodag/rest/stac.py`:
1. `product_dict["assets"] = product.assets.as_dict()`
2. `product_item = jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`
3. `origin_assets = product_item["assets"].pop("origin_assets")` (Wait, `origin_assets` is popped from `product_item["assets"]`).
4. Then it loops through `origin_assets` and replaces their `href` with eodag-server URLs.
5. Finally, `product_item["assets"] = dict(product_item["assets"], **origin_assets)`.
Wait, if `product.assets.as_dict()` contains the raw/origin URLs, they are passed into `product_dict["assets"]` and then likely mapped into `product_item["assets"]["origin_assets"]` via `item_model`.
Let's verify this hypothesis by reading `eodag/api/product/_assets.py`.
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 312 tokens · stopped: STOP
It seems `eodag/api/product/_assets.py` is where `Assets` class might be.
But the core change is in `eodag/rest/stac.py`.
Current logic in `eodag/rest/stac.py`:
1. `product_dict["assets"] = product.assets.as_dict()`
2. `product_item = jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`
3. `origin_assets = product_item["assets"].pop("origin_assets")` (Wait, `origin_assets` is popped from `product_item["assets"]`).
4. Then it loops through `origin_assets` and replaces their `href` with eodag-server URLs.
5. Finally, `product_item["assets"] = dict(product_item["assets"], **origin_assets)`.
Wait, if `product.assets.as_dict()` contains the raw/origin URLs, they are passed into `product_dict["assets"]` and then likely mapped into `product_item["assets"]["origin_assets"]` via `item_model`.
Let's verify this hypothesis by reading `eodag/api/product/_assets.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>eodag/api/product/_assets.py<|"|>}<tool_call|><|tool_response>
Turn 5at 161 s1,530 tokens out7,598 prompt tokens
`AssetsDict.as_dict()` simply returns a dict of `Asset.as_dict()`, which is just `self.data`.
So `product.assets.as_dict()` returns exactly what was put into `AssetsDict` (the asset data).
Now let's go back to `eodag/rest/stac.py`.
```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)
```
The `origin_assets` dict contains the original assets (with their original `href`s).
The code *overwrites* `origin_assets[asset_key]["href"]` with the server's download URL.
We need to change this to:
1. Store the original `href` in `alternate/origin/href`.
2. Set the main `href` to the server's download URL.
Wait, `asset_value` is a reference to the original asset dict.
Let's see:
`origin_assets` is `product_item["assets"].pop("origin_assets")`.
If `origin_assets` was:
```json
{
"B01": {
"href": "s3://path/to/B01-asset",
"title": "Original B01"
}
}
```
After the current loop:
```json
{
"B01": {
"href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01",
"title": "Original B01"
}
}
```
We want:
```json
{
"B01": {
"href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01",
"title": "Original B01",
"alternate": {
"origin": {
"href": "s3://path/to/B01-asset",
"title": "Origin asset link"
}
}
}
}
```
(The `title` for origin is optional but in the problem statement it says `"title": "Origin asset link"`).
Wait, let's look at the problem statement's desired output again:
```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"
}
}
}
}
}
]
}
```
So, I should:
1. Capture the original `href`.
2. Set the new `href`.
3. Add the `alternate` section.
Let's refine the implementation in `eodag/rest/stac.py`.
Current code:
```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)
```
Proposed change:
```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
origin_href = asset_value.get("href")
# set eodag-server href
server_href = without_arg_url
if query_dict:
server_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
server_href += f"/{asset_key}"
asset_value["href"] = server_href
# add origin asset as alternate
if origin_href:
asset_value["alternate"] = {
"origin": {
"title": "Origin asset link",
"href": origin_href,
}
}
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
Wait, I should check if `asset_value` is modified in place or if I should be careful.
Actually, `origin_assets` is a dictionary of dictionaries. `asset_value` is one of those inner dictionaries. Modifying it modifies `origin_assets`.
Is there any other place where assets are handled?
In `eodag/rest/stac.py`, this is the main loop that builds the STAC items.
Let's check if there are other similar loops.
I'll grep for `product_item["assets"]` in `eodag/rest/stac.py`.
TOOL CALL · run_command
{
"command": "grep -n \"product_item[\\\"assets\\\"]\" eodag/rest/stac.py"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Generated tokens 1,530 tokens · stopped: STOP
`AssetsDict.as_dict()` simply returns a dict of `Asset.as_dict()`, which is just `self.data`.
So `product.assets.as_dict()` returns exactly what was put into `AssetsDict` (the asset data).
Now let's go back to `eodag/rest/stac.py`.
```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)
```
The `origin_assets` dict contains the original assets (with their original `href`s).
The code *overwrites* `origin_assets[asset_key]["href"]` with the server's download URL.
We need to change this to:
1. Store the original `href` in `alternate/origin/href`.
2. Set the main `href` to the server's download URL.
Wait, `asset_value` is a reference to the original asset dict.
Let's see:
`origin_assets` is `product_item["assets"].pop("origin_assets")`.
If `origin_assets` was:
```json
{
"B01": {
"href": "s3://path/to/B01-asset",
"title": "Original B01"
}
}
```
After the current loop:
```json
{
"B01": {
"href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01",
"title": "Original B01"
}
}
```
We want:
```json
{
"B01": {
"href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01",
"title": "Original B01",
"alternate": {
"origin": {
"href": "s3://path/to/B01-asset",
"title": "Origin asset link"
}
}
}
}
```
(The `title` for origin is optional but in the problem statement it says `"title": "Origin asset link"`).
Wait, let's look at the problem statement's desired output again:
```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"
}
}
}
}
}
]
}
```
So, I should:
1. Capture the original `href`.
2. Set the new `href`.
3. Add the `alternate` section.
Let's refine the implementation in `eodag/rest/stac.py`.
Current code:
```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)
```
Proposed change:
```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
origin_href = asset_value.get("href")
# set eodag-server href
server_href = without_arg_url
if query_dict:
server_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
server_href += f"/{asset_key}"
asset_value["href"] = server_href
# add origin asset as alternate
if origin_href:
asset_value["alternate"] = {
"origin": {
"title": "Origin asset link",
"href": origin_href,
}
}
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
Wait, I should check if `asset_value` is modified in place or if I should be careful.
Actually, `origin_assets` is a dictionary of dictionaries. `asset_value` is one of those inner dictionaries. Modifying it modifies `origin_assets`.
Is there any other place where assets are handled?
In `eodag/rest/stac.py`, this is the main loop that builds the STAC items.
Let's check if there are other similar loops.
I'll grep for `product_item["assets"]` in `eodag/rest/stac.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "product_item[\"assets\"]" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 6at 166 s69 tokens out9,183 prompt tokens
Wait, I used `grep -n "product_item[\"assets\"]"`. The quotes might be problematic. Let's try:
TOOL CALL · run_command
{
"command": "grep -n 'product_item\\[\"assets\"\\]' eodag/rest/stac.py"
}Result of run_command 490 characters
{
"status": "ok",
"stdout": "256: url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n268: _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\n274: product_item[\"assets\"][\"downloadLink\"][\n279: origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n291: product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 69 tokens · stopped: STOP
Wait, I used `grep -n "product_item[\"assets\"]"`. The quotes might be problematic.
Let's try:
<channel|><|tool_call>call:run_command{command:<|"|>grep -n 'product_item\["assets"\]' eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 7at 182 s254 tokens out9,429 prompt tokens
Okay, it seems this is the only place where assets are manipulated this way. Now, I need to make sure I didn't miss any other "parallel paths". The issue says "eodag-authenticated and origin raw assets both available in server mode". This seems focused on the STAC API implementation. Let's verify if there's any other STAC related code. `eodag/rest/stac.py` seems to be the core one. `eodag/rest/server.py` sets up the Flask app. `eodag/api/product` is for general product logic. I'll try to reproduce the bug with a small test. I don't have a full server running, but I can instantiate the class that implements this logic and check the output. The class in `eodag/rest/stac.py` seems to be some kind of `STACHandler` or similar. Let's see the class name.
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 254 tokens · stopped: STOP
Okay, it seems this is the only place where assets are manipulated this way.
Now, I need to make sure I didn't miss any other "parallel paths".
The issue says "eodag-authenticated and origin raw assets both available in server mode".
This seems focused on the STAC API implementation.
Let's verify if there's any other STAC related code.
`eodag/rest/stac.py` seems to be the core one.
`eodag/rest/server.py` sets up the Flask app.
`eodag/api/product` is for general product logic.
I'll try to reproduce the bug with a small test.
I don't have a full server running, but I can instantiate the class that implements this logic and check the output.
The class in `eodag/rest/stac.py` seems to be some kind of `STACHandler` or similar. Let's see the class name.
<channel|><|tool_call>call:read_file{end_line:100,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 8at 255 s1,001 tokens out10,738 prompt tokens
The class is `StacCommon`. Let's try to write a reproduction script to verify the current behavior. I need to mock `EODataAccessGateway`, `SearchResult`, and `EOProduct` and their assets.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport json\nfrom unittest.mock import MagicMock\nfrom eodag.rest.stac import StacCommon\n\nclass MockProduct:\n def __init__(self, product_type, provider, assets_data):\n self.product_type = product_type\n self.provider = provider\n self.assets = MagicMock()\n self.assets.as_dict.return_value = assets_data\n\nclass MockSearchResult:\n def __init__(self, product):\n self.product = product\n self.product_type = product.product_type\n\ndef test():\n mock_api = MagicMock()\n mock_api.providers_config = {\n \"my_provider\": MagicMock()\n }\n \n stac_config = {\n \"item\": {\n \"assets\": {\n \"origin_assets\": \"$.product.assets\"\n },\n \"properties\": {}\n },\n \"provider\": {\n \"name\": \"my_provider\"\n }\n }\n \n assets_data = {\n \"B01\": {\"href\": \"s3://path/to/B01\", \"title\": \"B01 Asset\"},\n \"B02\": {\"href\": \"s3://path/to/B02\", \"title\": \"B02 Asset\"}\n }\n \n product = MockProduct(\"my_product_type\", \"my_provider\", assets_data)\n search_results = [MockSearchResult(product)]\n \n stac_common = StacCommon(\n url=\"/stac\",\n stac_config=stac_config,\n provider=\"my_provider\",\n eodag_api=mock_api,\n root=\"/\"\n )\n \n # Need to simulate the search_results format that StacCommon.build_items expects\n # build_items(search_results, catalog)\n # The search_results in StacCommon.build_items is iterated over: 'for product in search_results:'\n # and it uses search_results[0].product_type.\n # Let's see if we can just use the list of products.\n \n # In StacCommon.build_items:\n # for product in search_results:\n # ...\n # product_dict = deepcopy(product.__dict__)\n # product_dict[\"assets\"] = product.assets.as_dict()\n \n # We need to make sure the SearchResult objects are processed correctly.\n # Actually, search_results is a List of products in my Mock.\n # But in StacCommon.build_items, search_results is passed as an argument.\n # Let's check the signature again. \n # build_items(self, search_results, catalog)\n \n # Wait, I need to implement a mock of the SearchResult class that mimics how eodag.api.search_result.SearchResult behaves.\n # The current code: \n # item_model = self.__filter_item_model_properties(self.stac_config[\"item\"], str(search_results[0].product_type))\n # Then 'for product in search_results:'\n # So search_results should be a list of EOProduct-like objects.\n \n # Let's use our MockProduct.\n products = [product]\n \n # Mock search_results[0].product_type for item_model\n catalog = {}\n \n # The build_items method is probably not public? It's probably internal or called from elsewhere.\n # Let's look at the file again. It's likely `_build_items` or something. \n # Actually the grep said `build_items` starting at line 201.\n \n try:\n items = stac_common.build_items(products, catalog)\n print(json.dumps(items, indent=2))\n except Exception as e:\n import traceback\n traceback.print_exc()\n\ntest()\nPY\n"
}Result of run_command 715 characters
{
"status": "ok",
"stdout": "",
"stderr": "/workspace/eodag/api/core.py:28: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n import pkg_resources\n/usr/local/lib/python3.10/site-packages/requests/__init__.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (6.0.0dev0)/charset_normalizer (3.4.4) doesn't match a supported version!\n warnings.warn(\nTraceback (most recent call last):\n File \"<stdin>\", line 86, in test\nAttributeError: 'StacCommon' object has no attribute 'build_items'\n",
"exit_code": 0
}Generated tokens 1,001 tokens · stopped: STOP
The class is `StacCommon`.
Let's try to write a reproduction script to verify the current behavior.
I need to mock `EODataAccessGateway`, `SearchResult`, and `EOProduct` and their assets.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import json
from unittest.mock import MagicMock
from eodag.rest.stac import StacCommon
class MockProduct:
def __init__(self, product_type, provider, assets_data):
self.product_type = product_type
self.provider = provider
self.assets = MagicMock()
self.assets.as_dict.return_value = assets_data
class MockSearchResult:
def __init__(self, product):
self.product = product
self.product_type = product.product_type
def test():
mock_api = MagicMock()
mock_api.providers_config = {
"my_provider": MagicMock()
}
stac_config = {
"item": {
"assets": {
"origin_assets": "$.product.assets"
},
"properties": {}
},
"provider": {
"name": "my_provider"
}
}
assets_data = {
"B01": {"href": "s3://path/to/B01", "title": "B01 Asset"},
"B02": {"href": "s3://path/to/B02", "title": "B02 Asset"}
}
product = MockProduct("my_product_type", "my_provider", assets_data)
search_results = [MockSearchResult(product)]
stac_common = StacCommon(
url="/stac",
stac_config=stac_config,
provider="my_provider",
eodag_api=mock_api,
root="/"
)
# Need to simulate the search_results format that StacCommon.build_items expects
# build_items(search_results, catalog)
# The search_results in StacCommon.build_items is iterated over: 'for product in search_results:'
# and it uses search_results[0].product_type.
# Let's see if we can just use the list of products.
# In StacCommon.build_items:
# for product in search_results:
# ...
# product_dict = deepcopy(product.__dict__)
# product_dict["assets"] = product.assets.as_dict()
# We need to make sure the SearchResult objects are processed correctly.
# Actually, search_results is a List of products in my Mock.
# But in StacCommon.build_items, search_results is passed as an argument.
# Let's check the signature again.
# build_items(self, search_results, catalog)
# Wait, I need to implement a mock of the SearchResult class that mimics how eodag.api.search_result.SearchResult behaves.
# The current code:
# item_model = self.__filter_item_model_properties(self.stac_config["item"], str(search_results[0].product_type))
# Then 'for product in search_results:'
# So search_results should be a list of EOProduct-like objects.
# Let's use our MockProduct.
products = [product]
# Mock search_results[0].product_type for item_model
catalog = {}
# The build_items method is probably not public? It's probably internal or called from elsewhere.
# Let's look at the file again. It's likely `_build_items` or something.
# Actually the grep said `build_items` starting at line 201.
try:
items = stac_common.build_items(products, catalog)
print(json.dumps(items, indent=2))
except Exception as e:
import traceback
traceback.print_exc()
test()
PY
<|"|>}<tool_call|><|tool_response>
Turn 9at 263 s77 tokens out11,995 prompt tokens
Ah, I must have misread the method name. Let's check `eodag/rest/stac.py` again around line 201.
TOOL CALL · read_file
{
"end_line": 210,
"filepath": "eodag/rest/stac.py",
"start_line": 200
}Result of read_file 590 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:",
"start_line": 200,
"end_line": 210,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 77 tokens · stopped: STOP
Ah, I must have misread the method name. Let's check `eodag/rest/stac.py` again around line 201.
<channel|><|tool_call>call:read_file{end_line:210,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:200}<tool_call|><|tool_response>
Turn 10at 266 s60 tokens out12,281 prompt tokens
I missed the method definition line. Let's read from line 180.
TOOL CALL · read_file
{
"end_line": 200,
"filepath": "eodag/rest/stac.py",
"start_line": 180
}Result of read_file 698 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " \"\"\"\n\n def __init__(\n self,\n url: str,\n stac_config: Dict[str, Any],\n provider: Optional[str],\n eodag_api: EODataAccessGateway,\n root: str = \"/\",\n ) -> None:\n super(StacItem, self).__init__(\n url=url,\n stac_config=stac_config,\n provider=provider,\n eodag_api=eodag_api,\n root=root,\n )\n\n def __get_item_list(\n self, search_results: SearchResult, catalog: Dict[str, Any]\n ) -> List[Dict[str, Any]]:",
"start_line": 180,
"end_line": 200,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 60 tokens · stopped: STOP
I missed the method definition line. Let's read from line 180.
<channel|><|tool_call>call:read_file{end_line:200,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:180}<tool_call|><|tool_response>
Turn 11at 274 s130 tokens out12,595 prompt tokens
The method is `__get_item_list`. It's a private method. Let's try calling `_StacItem__get_item_list` since it's name-mangled. And the class is `StacItem`, not `StacCommon`. (Wait, `StacItem` inherits from `StacCommon`). Let's check `StacItem` definition.
TOOL CALL · read_file
{
"end_line": 180,
"filepath": "eodag/rest/stac.py",
"start_line": 160
}Result of read_file 753 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " :rtype: dict\n \"\"\"\n return geojson.loads(geojson.dumps(self.data))\n\n __geo_interface__ = property(as_dict)\n\n\nclass StacItem(StacCommon):\n \"\"\"Stac item object\n\n :param url: Requested URL\n :type url: str\n :param stac_config: STAC configuration from stac.yml conf file\n :type stac_config: dict\n :param provider: (optional) Chosen provider\n :type provider: str\n :param eodag_api: EODAG python API instance\n :type eodag_api: :class:`eodag.api.core.EODataAccessGateway`\n :param root: (optional) API root\n :type root: str\n \"\"\"",
"start_line": 160,
"end_line": 180,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 130 tokens · stopped: STOP
The method is `__get_item_list`. It's a private method.
Let's try calling `_StacItem__get_item_list` since it's name-mangled.
And the class is `StacItem`, not `StacCommon`. (Wait, `StacItem` inherits from `StacCommon`).
Let's check `StacItem` definition.
<channel|><|tool_call>call:read_file{end_line:180,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:160}<tool_call|><|tool_response>
Turn 12at 292 s501 tokens out13,008 prompt tokens
Yes, `StacItem` inherits from `StacCommon`. Let's update the repro script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport json\nfrom unittest.mock import MagicMock\nfrom eodag.rest.stac import StacItem\n\nclass MockProduct:\n def __init__(self, product_type, provider, assets_data):\n self.product_type = product_type\n self.provider = provider\n self.assets = MagicMock()\n self.assets.as_dict.return_value = assets_data\n\ndef test():\n mock_api = MagicMock()\n mock_api.providers_config = {\n \"my_provider\": MagicMock()\n }\n \n stac_config = {\n \"item\": {\n \"assets\": {\n \"origin_assets\": \"$.product.assets\"\n },\n \"properties\": {}\n },\n \"provider\": {\n \"name\": \"my_provider\"\n }\n }\n \n assets_data = {\n \"B01\": {\"href\": \"s3://path/to/B01\", \"title\": \"B01 Asset\"},\n \"B02\": {\"href\": \"s3://path/to/B02\", \"title\": \"B02 Asset\"}\n }\n \n product = MockProduct(\"my_product_type\", \"my_provider\", assets_data)\n products = [product]\n \n stac_item = StacItem(\n url=\"/stac\",\n stac_config=stac_config,\n provider=\"my_provider\",\n eodag_api=mock_api,\n root=\"/\"\n )\n \n catalog = {}\n \n try:\n # Access the private method __get_item_list using name mangling\n items = stac_item._StacItem__get_item_list(products, catalog)\n print(json.dumps(items, indent=2))\n except Exception as e:\n import traceback\n traceback.print_exc()\n\ntest()\nPY\n"
}Result of run_command 1,261 characters
{
"status": "ok",
"stdout": "",
"stderr": "/workspace/eodag/api/core.py:28: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n import pkg_resources\n/usr/local/lib/python3.10/site-packages/requests/__init__.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (6.0.0dev0)/charset_normalizer (3.4.4) doesn't match a supported version!\n warnings.warn(\nTraceback (most recent call last):\n File \"/workspace/eodag/rest/stac.py\", line 411, in __filter_item_model_properties\n product_type_dict = [\nIndexError: list index out of range\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<stdin>\", line 50, in test\n File \"/workspace/eodag/rest/stac.py\", line 213, in __get_item_list\n item_model = self.__filter_item_model_properties(\n File \"/workspace/eodag/rest/stac.py\", line 420, in __filter_item_model_properties\n raise NoMatchingProductType(\neodag.utils.exceptions.NoMatchingProductType: Product type my_product_type not available for my_provider\n",
"exit_code": 0
}Generated tokens 501 tokens · stopped: STOP
Yes, `StacItem` inherits from `StacCommon`.
Let's update the repro script.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import json
from unittest.mock import MagicMock
from eodag.rest.stac import StacItem
class MockProduct:
def __init__(self, product_type, provider, assets_data):
self.product_type = product_type
self.provider = provider
self.assets = MagicMock()
self.assets.as_dict.return_value = assets_data
def test():
mock_api = MagicMock()
mock_api.providers_config = {
"my_provider": MagicMock()
}
stac_config = {
"item": {
"assets": {
"origin_assets": "$.product.assets"
},
"properties": {}
},
"provider": {
"name": "my_provider"
}
}
assets_data = {
"B01": {"href": "s3://path/to/B01", "title": "B01 Asset"},
"B02": {"href": "s3://path/to/B02", "title": "B02 Asset"}
}
product = MockProduct("my_product_type", "my_provider", assets_data)
products = [product]
stac_item = StacItem(
url="/stac",
stac_config=stac_config,
provider="my_provider",
eodag_api=mock_api,
root="/"
)
catalog = {}
try:
# Access the private method __get_item_list using name mangling
items = stac_item._StacItem__get_item_list(products, catalog)
print(json.dumps(items, indent=2))
except Exception as e:
import traceback
traceback.print_exc()
test()
PY
<|"|>}<tool_call|><|tool_response>
Turn 13at 300 s104 tokens out13,942 prompt tokens
Okay, `NoMatchingProductType` happened because `my_product_type` is not defined in the provider's config or the eodag config. Let's look at `__filter_item_model_properties` in `eodag/rest/stac.py`.
TOOL CALL · read_file
{
"end_line": 430,
"filepath": "eodag/rest/stac.py",
"start_line": 400
}Result of read_file 1,244 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " Removes not needed parameters, and adds supplementary ones as\n part of oseo extension.\n\n :param item_model: Item model from stac_config\n :type item_model: dict\n :param product_type: Product type\n :type product_type: str\n :returns: Filtered item model\n :rtype: dict\n \"\"\"\n try:\n product_type_dict = [\n pt\n for pt in self.eodag_api.list_product_types(\n provider=self.provider, fetch_providers=False\n )\n if pt[\"ID\"] == product_type\n or (\"alias\" in pt and pt[\"alias\"] == product_type)\n ][0]\n except IndexError:\n raise NoMatchingProductType(\n \"Product type {} not available for {}\".format(\n product_type, self.provider\n )\n )\n\n result_item_model = deepcopy(item_model)\n result_item_model[\"stac_extensions\"] = list(\n self.stac_config[\"stac_extensions\"].values()\n )\n",
"start_line": 400,
"end_line": 430,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 104 tokens · stopped: STOP
Okay, `NoMatchingProductType` happened because `my_product_type` is not defined in the provider's config or the eodag config.
Let's look at `__filter_item_model_properties` in `eodag/rest/stac.py`.
<channel|><|tool_call>call:read_file{end_line:430,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:400}<tool_call|><|tool_response>
Turn 14at 318 s552 tokens out14,405 prompt tokens
I need to mock `self.eodag_api.list_product_types` to return my product type. Let's update the repro script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport json\nfrom unittest.mock import MagicMock\nfrom eodag.rest.stac import StacItem\n\nclass MockProduct:\n def __init__(self, product_type, provider, assets_data):\n self.product_type = product_type\n self.provider = provider\n self.assets = MagicMock()\n self.assets.as_dict.return_value = assets_data\n\ndef test():\n mock_api = MagicMock()\n mock_api.providers_config = {\n \"my_provider\": MagicMock()\n }\n # Mock list_product_types\n mock_api.list_product_types.return_value = [\n {\"ID\": \"my_product_type\", \"provider\": \"my_provider\"}\n ]\n \n stac_config = {\n \"item\": {\n \"assets\": {\n \"origin_assets\": \"$.product.assets\"\n },\n \"properties\": {},\n \"stac_extensions\": {}\n },\n \"provider\": {\n \"name\": \"my_provider\"\n }\n }\n \n assets_data = {\n \"B01\": {\"href\": \"s3://path/to/B01\", \"title\": \"B01 Asset\"},\n \"B02\": {\"href\": \"s3://path/to/B02\", \"title\": \"B02 Asset\"}\n }\n \n product = MockProduct(\"my_product_type\", \"my_provider\", assets_data)\n products = [product]\n \n stac_item = StacItem(\n url=\"/stac\",\n stac_config=stac_config,\n provider=\"my_provider\",\n eodag_api=mock_api,\n root=\"/\"\n )\n \n catalog = {}\n \n try:\n items = stac_item._StacItem__get_item_list(products, catalog)\n print(json.dumps(items, indent=2))\n except Exception as e:\n import traceback\n traceback.print_exc()\n\ntest()\nPY\n"
}Result of run_command 942 characters
{
"status": "ok",
"stdout": "",
"stderr": "/workspace/eodag/api/core.py:28: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n import pkg_resources\n/usr/local/lib/python3.10/site-packages/requests/__init__.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (6.0.0dev0)/charset_normalizer (3.4.4) doesn't match a supported version!\n warnings.warn(\nTraceback (most recent call last):\n File \"<stdin>\", line 54, in test\n File \"/workspace/eodag/rest/stac.py\", line 213, in __get_item_list\n item_model = self.__filter_item_model_properties(\n File \"/workspace/eodag/rest/stac.py\", line 428, in __filter_item_model_properties\n self.stac_config[\"stac_extensions\"].values()\nKeyError: 'stac_extensions'\n",
"exit_code": 0
}Generated tokens 552 tokens · stopped: STOP
I need to mock `self.eodag_api.list_product_types` to return my product type.
Let's update the repro script.<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import json
from unittest.mock import MagicMock
from eodag.rest.stac import StacItem
class MockProduct:
def __init__(self, product_type, provider, assets_data):
self.product_type = product_type
self.provider = provider
self.assets = MagicMock()
self.assets.as_dict.return_value = assets_data
def test():
mock_api = MagicMock()
mock_api.providers_config = {
"my_provider": MagicMock()
}
# Mock list_product_types
mock_api.list_product_types.return_value = [
{"ID": "my_product_type", "provider": "my_provider"}
]
stac_config = {
"item": {
"assets": {
"origin_assets": "$.product.assets"
},
"properties": {},
"stac_extensions": {}
},
"provider": {
"name": "my_provider"
}
}
assets_data = {
"B01": {"href": "s3://path/to/B01", "title": "B01 Asset"},
"B02": {"href": "s3://path/to/B02", "title": "B02 Asset"}
}
product = MockProduct("my_product_type", "my_provider", assets_data)
products = [product]
stac_item = StacItem(
url="/stac",
stac_config=stac_config,
provider="my_provider",
eodag_api=mock_api,
root="/"
)
catalog = {}
try:
items = stac_item._StacItem__get_item_list(products, catalog)
print(json.dumps(items, indent=2))
except Exception as e:
import traceback
traceback.print_exc()
test()
PY
<|"|>}<tool_call|><|tool_response>
Turn 15at 389 s86 tokens out4,647 prompt tokens
Another KeyError: `'stac_extensions'`. It looks like `self.stac_config` in `StacItem` initialization is processed. Let's check `StacItem.__init__`.
TOOL CALL · read_file
{
"end_line": 100,
"filepath": "eodag/rest/stac.py",
"start_line": 50
}Result of read_file 1,654 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": "from 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": 50,
"end_line": 100,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 86 tokens · stopped: STOP
Another KeyError: `'stac_extensions'`.
It looks like `self.stac_config` in `StacItem` initialization is processed.
Let's check `StacItem.__init__`.
<channel|><|tool_call>call:read_file{end_line:100,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:50}<tool_call|><|tool_response>
Turn 16at 423 s686 tokens out5,327 prompt tokens
The `stac_config` passed to `StacItem` is used directly. In my repro, I passed:
```python
stac_config = {
"item": {
"assets": {
"origin_assets": "$.product.assets"
},
"properties": {},
"stac_extensions": {}
},
"provider": {
"name": "my_provider"
}
}
```
But `__filter_item_model_properties` does `self.stac_config["stac_extensions"].values()`.
This means `stac_extensions` should be at the top level of `stac_config`.
Let's fix the repro script again.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport json\nfrom unittest.mock import MagicMock\nfrom eodag.rest.stac import StacItem\n\nclass MockProduct:\n def __init__(self, product_type, provider, assets_data):\n self.product_type = product_type\n self.provider = provider\n self.assets = MagicMock()\n self.assets.as_dict.return_value = assets_data\n\ndef test():\n mock_api = MagicMock()\n mock_api.providers_config = {\n \"my_provider\": MagicMock()\n }\n # Mock list_product_types\n mock_api.list_product_types.return_value = [\n {\"ID\": \"my_product_type\", \"provider\": \"my_provider\"}\n ]\n \n stac_config = {\n \"stac_extensions\": {},\n \"item\": {\n \"assets\": {\n \"origin_assets\": \"$.product.assets\"\n },\n \"properties\": {},\n },\n \"provider\": {\n \"name\": \"my_provider\"\n }\n }\n \n assets_data = {\n \"B01\": {\"href\": \"s3://path/to/B01\", \"title\": \"B01 Asset\"},\n \"B02\": {\"href\": \"s3://path/to/B02\", \"title\": \"B02 Asset\"}\n }\n \n product = MockProduct(\"my_product_type\", \"my_provider\", assets_data)\n products = [product]\n \n stac_item = StacItem(\n url=\"/stac\",\n stac_config=stac_config,\n provider=\"my_provider\",\n eodag_api=mock_api,\n root=\"/\"\n )\n \n catalog = {}\n \n try:\n items = stac_item._StacItem__get_item_list(products, catalog)\n print(json.dumps(items, indent=2))\n except Exception as e:\n import traceback\n traceback.print_exc()\n\ntest()\nPY\n"
}Result of run_command 946 characters
{
"status": "ok",
"stdout": "",
"stderr": "/workspace/eodag/api/core.py:28: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n import pkg_resources\n/usr/local/lib/python3.10/site-packages/requests/__init__.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (6.0.0dev0)/charset_normalizer (3.4.4) doesn't match a supported version!\n warnings.warn(\nTraceback (most recent call last):\n File \"<stdin>\", line 54, in test\n File \"/workspace/eodag/rest/stac.py\", line 213, in __get_item_list\n item_model = self.__filter_item_model_properties(\n File \"/workspace/eodag/rest/stac.py\", line 441, in __filter_item_model_properties\n and k not in self.stac_config[\"metadata_ignore\"]\nKeyError: 'metadata_ignore'\n",
"exit_code": 0
}Generated tokens 686 tokens · stopped: STOP
The `stac_config` passed to `StacItem` is used directly. In my repro, I passed:
```python
stac_config = {
"item": {
"assets": {
"origin_assets": "$.product.assets"
},
"properties": {},
"stac_extensions": {}
},
"provider": {
"name": "my_provider"
}
}
```
But `__filter_item_model_properties` does `self.stac_config["stac_extensions"].values()`.
This means `stac_extensions` should be at the top level of `stac_config`.
Let's fix the repro script again.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import json
from unittest.mock import MagicMock
from eodag.rest.stac import StacItem
class MockProduct:
def __init__(self, product_type, provider, assets_data):
self.product_type = product_type
self.provider = provider
self.assets = MagicMock()
self.assets.as_dict.return_value = assets_data
def test():
mock_api = MagicMock()
mock_api.providers_config = {
"my_provider": MagicMock()
}
# Mock list_product_types
mock_api.list_product_types.return_value = [
{"ID": "my_product_type", "provider": "my_provider"}
]
stac_config = {
"stac_extensions": {},
"item": {
"assets": {
"origin_assets": "$.product.assets"
},
"properties": {},
},
"provider": {
"name": "my_provider"
}
}
assets_data = {
"B01": {"href": "s3://path/to/B01", "title": "B01 Asset"},
"B02": {"href": "s3://path/to/B02", "title": "B02 Asset"}
}
product = MockProduct("my_product_type", "my_provider", assets_data)
products = [product]
stac_item = StacItem(
url="/stac",
stac_config=stac_config,
provider="my_provider",
eodag_api=mock_api,
root="/"
)
catalog = {}
try:
items = stac_item._StacItem__get_item_list(products, catalog)
print(json.dumps(items, indent=2))
except Exception as e:
import traceback
traceback.print_exc()
test()
PY
<|"|>}<tool_call|><|tool_response>
Turn 17at 432 s70 tokens out6,360 prompt tokens
It seems `stac_config` requires several keys. Let's see `__filter_item_model_properties` again.
TOOL CALL · read_file
{
"end_line": 450,
"filepath": "eodag/rest/stac.py",
"start_line": 430
}Result of read_file 1,132 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": "\n # build jsonpath for eodag product default properties and adapt path\n eodag_properties_dict = {\n k: string_to_jsonpath(k, v.replace(\"$.\", \"$.product.\"))\n for k, v in DEFAULT_METADATA_MAPPING.items()\n if \"$.properties.\" in v\n }\n # add missing properties as oseo:missingProperty\n for k, v in eodag_properties_dict.items():\n if (\n v not in result_item_model[\"properties\"].values()\n and k not in self.stac_config[\"metadata_ignore\"]\n and not any(\n k in str(prop) for prop in result_item_model[\"properties\"].values()\n )\n ):\n result_item_model[\"properties\"][\"oseo:\" + k] = string_to_jsonpath(k, v)\n\n # Filter out unneeded extensions\n if product_type_dict.get(\"sensorType\", \"RADAR\") != \"RADAR\":\n result_item_model[\"stac_extensions\"].remove(",
"start_line": 430,
"end_line": 450,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 70 tokens · stopped: STOP
It seems `stac_config` requires several keys. Let's see `__filter_item_model_properties` again.
<channel|><|tool_call>call:read_file{end_line:450,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:430}<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.
[ 23.1s] 💭 (886 chars) "The objective is to make both eodag-authenticated and origin raw assets available in server
mode, following the STAC Alt..."
[ 23.1s] 🔧 run_command grep -rn --include="*.py" -e "assets" -e "STAC" eodag/rest/stac.py eodag/rest/se
[ 23.2s] → eodag/rest/stac.py:65:STAC_CATALOGS_PREFIX = "catalogs"
[ 28.6s] 💭 (158 chars) "It seems `eodag/rest/stac.py` is where the magic happens.
Specifically, lines 245-282 seem very relevant.
Let's read `e..."
[ 28.6s] 📖 read_file (eodag/rest/stac.py)
[ 28.7s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' ) -> List[Dict[str, Any]]:\n
"""Build STAC ite…
[ 60.0s] 💭 (1498 chars) "Looking at lines 278-288:
```python
# add origin assets to product assets
origin_assets = produc..."
[ 60.0s] 🔧 run_command ls eodag/api/product
[ 60.1s] → __init__.py
[ 78.8s] 💭 (913 chars) "It seems `eodag/api/product/_assets.py` is where `Assets` class might be.
But the core change is in `eodag/rest/stac.py..."
[ 78.8s] 📖 read_file (eodag/api/product/_assets.py)
[ 78.9s] ✓ {'status': 'ok', 'filepath': 'eodag/api/product/_assets.py', 'content': '# -*- coding: utf-8 -*-\n#
Copyright 2023, CS G…
[ 159.8s] 💭 (5407 chars) "`AssetsDict.as_dict()` simply returns a dict of `Asset.as_dict()`, which is just
`self.data`.
So `product.assets.as_dict..."
[ 159.8s] 🔧 run_command grep -n "product_item[\"assets\"]" eodag/rest/stac.py
[ 159.8s] → error (exit 0):
[ 164.8s] 💭 (94 chars) "Wait, I used `grep -n "product_item[\"assets\"]"`. The quotes might be problematic.
Let's try:"
[ 164.8s] 🔧 run_command grep -n 'product_item["assets"\]' eodag/rest/stac.py
[ 164.8s] → 256: url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
[ 180.6s] 💭 (761 chars) "Okay, it seems this is the only place where assets are manipulated this way.
Now, I need to make sure I didn't miss any..."
[ 180.6s] 📖 read_file (eodag/rest/stac.py)
[ 180.7s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '# -*- coding: utf-8 -*-\n# Copyright
2018, CS Systemes d\…
[ 254.0s] 💭 (188 chars) "The class is `StacCommon`.
Let's try to write a reproduction script to verify the current behavior.
I need to mock `EOD..."
[ 254.0s] 🔧 run_command (94 lines) python3 - <<'PY'
[ 255.6s] 🔧
[ 261.8s] 💭 (96 chars) "Ah, I must have misread the method name. Let's check `eodag/rest/stac.py` again around line
201."
[ 261.8s] 📖 read_file (eodag/rest/stac.py)
[ 261.8s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' ) -> List[Dict[str, Any]]:\n
"""Build STAC ite…
[ 264.8s] 💭 (62 chars) "I missed the method definition line. Let's read from line 180."
[ 264.8s] 📖 read_file (eodag/rest/stac.py)
[ 264.8s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' """\n\n def __init__(\n
self,\n url:…
[ 272.3s] 💭 (256 chars) "The method is `__get_item_list`. It's a private method.
Let's try calling `_StacItem__get_item_list` since it's name-ma..."
[ 272.3s] 📖 read_file (eodag/rest/stac.py)
[ 272.4s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' :rtype: dict\n """\n
return geojson…
[ 290.8s] 💭 (75 chars) "Yes, `StacItem` inherits from `StacCommon`.
Let's update the repro script."
[ 290.8s] 🔧 run_command (58 lines) python3 - <<'PY'
[ 291.3s] 🔧
[ 299.0s] 💭 (198 chars) "Okay, `NoMatchingProductType` happened because `my_product_type` is not defined in the
provider's config or the eodag co..."
[ 299.0s] 📖 read_file (eodag/rest/stac.py)
[ 299.0s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' Removes not needed parameters,
and adds supplemen…
[ 316.6s] 💭 (109 chars) "I need to mock `self.eodag_api.list_product_types` to return my product type.
Let's update the repro script."
[ 316.6s] 🔧 run_command (62 lines) python3 - <<'PY'
[ 317.1s] 🔧
[ 387.3s] 💭 (148 chars) "Another KeyError: `'stac_extensions'`.
It looks like `self.stac_config` in `StacItem` initialization is processed.
Let'..."
[ 387.3s] 📖 read_file (eodag/rest/stac.py)
[ 387.3s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': 'from eodag.utils.exceptions import (\n
NoMatchingProdu…
[ 421.6s] 💭 (568 chars) "The `stac_config` passed to `StacItem` is used directly. In my repro, I passed:
```python
stac_config = {
"i..."
[ 421.6s] 🔧 run_command (62 lines) python3 - <<'PY'
[ 422.0s] 🔧
[ 430.6s] 💭 (95 chars) "It seems `stac_config` requires several keys. Let's see `__filter_item_model_properties`
again."
[ 430.6s] 📖 read_file (eodag/rest/stac.py)
[ 430.6s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '\n # build jsonpath for eodag
product default prop…
Native result row
{
"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 453.71,
"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": 453.7,
"repo": "CS-SI/eodag",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/cs-si__eodag-961__p0__r1.jsonl",
"resolved": false,
"rollout_idx": 1,
"run_key": "cs-si__eodag-961__p0__r1",
"strict_clean_patch": false,
"tool_calls": 17,
"total_llm_calls": 17,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_cs-si__eodag-961__p0__r1.json"
}