ROLLOUT 2 · CS-SI/eodag
cs-si__eodag-961
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480 stotal time
9tool calls
9model calls
6,831tokens generated
78,225prompt tokens read
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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 40 s300 tokens out3,321 prompt tokens
The objective is to implement "alternate assets" in server mode for `eodag`. Specifically, when in server mode, both the `eodag-authenticated` download link and the `origin` raw asset link should be provided in the STAC response.
The provided example JSON shows:
```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"
}
}
}
}
}
]
}
```
Looking at the workspace layout, `eodag/rest/stac.py` seems like the most relevant file for handling STAC responses in server mode.
Let's start by searching for where STAC assets are generated.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"assets\" eodag/rest/stac.py"
}Result of run_command 1,028 characters
{
"status": "ok",
"stdout": "245: product_dict[\"assets\"] = product.assets.as_dict()\n256: 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\"][\n278: # add origin assets to product assets\n279: origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n280: if getattr(product, \"assets\", False):\n282: for asset_key, asset_value in origin_assets.items():\n283: origin_assets[asset_key][\"href\"] = without_arg_url\n285: origin_assets[asset_key][\n289: origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\n291: product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n530: product_dict[\"assets\"] = product.assets.as_dict()\n",
"stderr": "",
"exit_code": 0
}Generated tokens 300 tokens · stopped: STOP
<|channel>thought
The objective is to implement "alternate assets" in server mode for `eodag`. Specifically, when in server mode, both the `eodag-authenticated` download link and the `origin` raw asset link should be provided in the STAC response.
The provided example JSON shows:
```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"
}
}
}
}
}
]
}
```
Looking at the workspace layout, `eodag/rest/stac.py` seems like the most relevant file for handling STAC responses in server mode.
Let's start by searching for where STAC assets are generated.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "assets" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 2at 46 s95 tokens out3,960 prompt tokens
Okay, `eodag/rest/stac.py` seems to be the place. Lines 245-291 look very relevant. Let's read `eodag/rest/stac.py` around those lines.
TOOL CALL · read_file
{
"end_line": 310,
"filepath": "eodag/rest/stac.py",
"start_line": 200
}Result of read_file 5,067 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),\n **{formatable_prop_key: product_item[\"properties\"][prop_key]},\n )\n else:\n product_item[\"properties\"][prop_key] = format_metadata(\n \"{%s#%s}\" % (formatable_prop_key, conv_func),\n **{formatable_prop_key: product_item[\"properties\"][prop_key]},\n )\n\n # parse f-strings\n format_args = deepcopy(self.stac_config)",
"start_line": 200,
"end_line": 310,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 95 tokens · stopped: STOP
Okay, `eodag/rest/stac.py` seems to be the place. Lines 245-291 look very relevant.
Let's read `eodag/rest/stac.py` around those lines.<channel|><|tool_call>call:read_file{end_line:310,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:200}<tool_call|><|tool_response>
Turn 3at 123 s1,221 tokens out5,426 prompt tokens
In the 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)
```
It seems `origin_assets` is being popped from `product_item["assets"]` and then merged back into `product_item["assets"]`, but the `href` is being changed to the `eodag-server` download link.
The goal is to have BOTH the authenticated link AND the origin link.
Looking at the example:
```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"
}
}
}
```
Wait, the code currently does:
1. `origin_assets = product_item["assets"].pop("origin_assets")`
2. It modifies the `href` of these `origin_assets` to be the server download link.
3. It merges them back.
The `origin_assets` were probably the original links. If we want both, we should:
1. Keep the original `origin_assets` as the `alternate: origin` assets.
2. Create the server download links as the main asset.
Wait, the code seems to be doing exactly the opposite: it's taking the origin assets and making them the server download links.
Let's see how `product_item["assets"]` is constructed.
It's produced by `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`.
`item_model` comes from `self.stac_config["item"]`.
Let's see what's in `self.stac_config["item"]` by looking at `eodag/resources/stac.yml` or how it's loaded.
But first, let's analyze what's happening in `eodag/rest/stac.py` again.
```python
# parse download link
url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
```
It seems there is already a `downloadLink` asset.
Then:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
If `origin_assets` contained the actual origin links, they are being OVERWRITTEN by server links.
Wait, if `origin_assets[asset_key]` is a dict like `{"title": "...", "href": "s3://..."}`, then `origin_assets[asset_key]["href"] = ...` replaces the origin link with the server link.
The original `origin_assets` are gone once they are popped and then modified.
To implement the requested feature, we should:
1. Extract the origin assets.
2. For each origin asset, create a server download link.
3. Put the server download link as the main asset entry.
4. Put the original origin asset entry into `alternate: origin`.
Wait, the original origin assets are what we need for `alternate: origin`.
Let's see an example of `origin_assets` and `product_item["assets"]`. I'll write a reproduction script. I need to mock `product` and `self.stac_config`.
Actually, I can just try to reproduce this with a small script that imports `EodagStac` (assuming that's the class) from `eodag.rest.stac`.
Let's check `eodag/rest/stac.py` to 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 1,221 tokens · stopped: STOP
In the 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)
```
It seems `origin_assets` is being popped from `product_item["assets"]` and then merged back into `product_item["assets"]`, but the `href` is being changed to the `eodag-server` download link.
The goal is to have BOTH the authenticated link AND the origin link.
Looking at the example:
```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"
}
}
}
```
Wait, the code currently does:
1. `origin_assets = product_item["assets"].pop("origin_assets")`
2. It modifies the `href` of these `origin_assets` to be the server download link.
3. It merges them back.
The `origin_assets` were probably the original links. If we want both, we should:
1. Keep the original `origin_assets` as the `alternate: origin` assets.
2. Create the server download links as the main asset.
Wait, the code seems to be doing exactly the opposite: it's taking the origin assets and making them the server download links.
Let's see how `product_item["assets"]` is constructed.
It's produced by `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`.
`item_model` comes from `self.stac_config["item"]`.
Let's see what's in `self.stac_config["item"]` by looking at `eodag/resources/stac.yml` or how it's loaded.
But first, let's analyze what's happening in `eodag/rest/stac.py` again.
```python
# parse download link
url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
```
It seems there is already a `downloadLink` asset.
Then:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
If `origin_assets` contained the actual origin links, they are being OVERWRITTEN by server links.
Wait, if `origin_assets[asset_key]` is a dict like `{"title": "...", "href": "s3://..."}`, then `origin_assets[asset_key]["href"] = ...` replaces the origin link with the server link.
The original `origin_assets` are gone once they are popped and then modified.
To implement the requested feature, we should:
1. Extract the origin assets.
2. For each origin asset, create a server download link.
3. Put the server download link as the main asset entry.
4. Put the original origin asset entry into `alternate: origin`.
Wait, the original origin assets are what we need for `alternate: origin`.
Let's see an example of `origin_assets` and `product_item["assets"]`. I'll write a reproduction script. I need to mock `product` and `self.stac_config`.
Actually, I can just try to reproduce this with a small script that imports `EodagStac` (assuming that's the class) from `eodag.rest.stac`.
Let's check `eodag/rest/stac.py` to 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 4at 134 s154 tokens out7,701 prompt tokens
The class is `StacCommon` (though it might be used as a base class). Looking at the search results, the function I was reading was probably `build_items` or something similar in a subclass of `StacCommon`.
Actually, I can just look at the code again. I saw:
```python
) -> List[Dict[str, Any]]:
"""Build STAC items list from EODAG search results
```
This was line 200. Let's find the method name.
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 154 tokens · stopped: STOP
The class is `StacCommon` (though it might be used as a base class). Looking at the search results, the function I was reading was probably `build_items` or something similar in a subclass of `StacCommon`.
Actually, I can just look at the code again. I saw:
```python
) -> List[Dict[str, Any]]:
"""Build STAC items list from EODAG search results
```
This was line 200. Let's find the method name.
<channel|><|tool_call>call:read_file{end_line:200,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:180}<tool_call|><|tool_response>
Turn 5at 286 s2,693 tokens out8,109 prompt tokens
The method is `__get_item_list` in `StacItem`.
Let's see how it handles `origin_assets`.
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
Here's the plan to fix it:
1. Keep a copy of the original `origin_assets`.
2. For each `asset_key, asset_value` in `origin_assets`:
a. Calculate the server download link (already done in the loop).
b. Create a new asset dictionary that has the server download link as `href`.
c. Add an `alternate` field to this new asset dictionary, containing the original `asset_value` under the `origin` key.
d. Put this new asset dictionary back into `product_item["assets"]`.
Wait, let's look at the loop carefully.
```python
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
for asset_key, asset_value in origin_assets.items():
# ... calculate new_href ...
origin_assets[asset_key]["href"] = new_href # THIS MODIFIES origin_assets IN PLACE
```
Yes, it modifies `origin_assets` in place. Since `asset_value` is a reference to the dict inside `origin_assets`, `origin_assets[asset_key]["href"] = ...` modifies that dict.
Revised Plan:
```python
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# Create a new dict to hold the updated assets
updated_assets = {}
for asset_key, asset_value in origin_assets.items():
# Keep original asset value for the 'origin' alternate
origin_asset_value = deepcopy(asset_value)
# Calculate server download link
new_href = without_arg_url
if query_dict:
new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
new_href += f"/{asset_key}"
# Construct the new asset entry
updated_assets[asset_key] = {
"title": asset_value.get("title", "Download link"),
"href": new_href,
"alternate": {
"origin": origin_asset_value
}
}
product_item["assets"] = dict(product_item["assets"], **updated_assets)
```
Wait, I should check if `asset_value` has other fields that should be preserved in the main asset entry. The example only shows `title` and `href`.
Example:
```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"
}
}
}
```
If `asset_value` was `{"title": "Origin asset link", "href": "s3://path/to/B01-asset"}`, the center asset becomes `{"title": "Download link", "href": "...", "alternate": {"origin": {"title": "Origin asset link", "href": "s3://..."}}}`.
Wait, the `title` in the center asset is "Download link" in the example, while the title in the origin asset is "Origin asset link".
If the original `origin_assets` had `title: "Origin asset link"`, then `asset_value.get("title", "Download link")` would give "Origin asset link". But the example wants "Download link" for the server asset and "Origin asset link" for the origin asset.
Wait, maybe the `origin_assets` already have different titles? Or maybe we should just set it to "Download link" for the server asset if it's different?
Actually, let's see what `origin_assets` typically contains. I don't have that info, but I can try to see if there's any other clue.
In the example:
`"title": "Download link"` for the server asset.
`"title": "Origin asset link"` for the origin asset.
If `asset_value` is the origin asset, and we want to create a server asset, we should probably use a default title "Download link" unless we want to preserve it. But the example specifically shows different titles.
Actually, if I use `deepcopy(asset_value)` for the origin asset, and then I set `href` and `title` for the main asset, it should work.
```python
# Construct the new asset entry
updated_assets[asset_key] = {
"title": "Download link",
"href": new_href,
"alternate": {
"origin": origin_asset_value
}
}
```
But what if `asset_value` had other important metadata? STAC assets can have more fields.
The current implementation does:
```python
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
# ...
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
The current implementation preserves all other fields in `origin_assets[asset_key]` because it modifies it in place.
So, to preserve other fields and implement the requested change:
```python
for asset_key, asset_value in origin_assets.items():
# Keep original asset value for the 'origin' alternate
origin_asset_value = deepcopy(asset_value)
# Calculate server download link
new_href = without_arg_url
if query_dict:
new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
new_href += f"/{asset_key}"
# Construct the new asset entry:
# - use a copy of the original asset value to preserve other fields
# - update href to the server link
# - update title to "Download link"
# - add alternate: origin
server_asset_value = deepcopy(asset_value)
server_asset_value["href"] = new_href
server_asset_value["title"] = "Download link" # Based on example
server_asset_value["alternate"] = {
"origin": origin_asset_value
}
updated_assets[asset_key] = server_asset_value
```
Actually, if I want to be safer about the title: maybe only use "Download link" if the original title doesn't look like "Download link"? No, the example is pretty explicit.
Let's double check if `origin_assets` can be something other than a dict of dicts.
`origin_assets = product_item["assets"].pop("origin_assets")`
`for asset_key, asset_value in origin_assets.items():`
So `origin_assets` is a dict, and `asset_value` is what we're using.
Wait, let's check if `product_item["assets"]` already contains assets that might be overwritten.
`product_item["assets"] = dict(product_item["assets"], **origin_assets)`
This means if `origin_assets` has a key that already exists in `product_item["assets"]`, it's overwritten.
Let's look at the current code again.
```python
# parse download link
url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
```
There's a `downloadLink` asset.
Then:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# ...
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
It seems `origin_assets` are the actual product assets (like "B01", "B02", etc.), while `downloadLink` is a more general link.
Let's verify this with a reproduction script. I need to mock the structures.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport json\nfrom urllib.parse import urlparse, urlencode, parse_qs\n\ndef mock_build_assets(product_item, product, provider, without_arg_url, query_dict):\n # This is a simplified version of the logic in __get_item_list\n \n # parse download link (we just mock this part)\n # url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n # query_dict = parse_qs(url_parts.query)\n # ...\n \n # add origin assets to product assets\n origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n if getattr(product, \"assets\", False):\n # CURRENT IMPLEMENTATION\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][\"href\"] += 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 return product_item\n\nclass MockProduct:\n def __init__(self):\n self.assets = True\n\nproduct_item = {\n \"assets\": {\n \"downloadLink\": {\"href\": \"http://127.0.0.1:5000/download\"},\n \"origin_assets\": {\n \"B01\": {\"title\": \"Origin asset link\", \"href\": \"s3://path/to/B01-asset\"},\n \"B02\": {\"title\": \"Origin asset link\", \"href\": \"s3://path/to/B02-asset\"},\n }\n }\n}\nproduct = MockProduct()\nprovider = \"some-provider\"\nwithout_arg_url = \"http://127.0.0.1:5000/collections/some-collection/items/some-product/download\"\nquery_dict = {\"provider\": [\"some-provider\"]}\n\nresult = mock_build_assets(product_item, product, provider, without_arg_url, query_dict)\nprint(json.dumps(result, indent=2))\nPY\n"
}Result of run_command 554 characters
{
"status": "ok",
"stdout": "{\n \"assets\": {\n \"downloadLink\": {\n \"href\": \"http://127.0.0.1:5000/download\"\n },\n \"B01\": {\n \"title\": \"Origin asset link\",\n \"href\": \"http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01?provider=some-provider\"\n },\n \"B02\": {\n \"title\": \"Origin asset link\",\n \"href\": \"http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B02?provider=some-provider\"\n }\n }\n}\n",
"stderr": "",
"exit_code": 0
}Generated tokens 2,693 tokens · stopped: STOP
The method is `__get_item_list` in `StacItem`.
Let's see how it handles `origin_assets`.
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
Here's the plan to fix it:
1. Keep a copy of the original `origin_assets`.
2. For each `asset_key, asset_value` in `origin_assets`:
a. Calculate the server download link (already done in the loop).
b. Create a new asset dictionary that has the server download link as `href`.
c. Add an `alternate` field to this new asset dictionary, containing the original `asset_value` under the `origin` key.
d. Put this new asset dictionary back into `product_item["assets"]`.
Wait, let's look at the loop carefully.
```python
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
for asset_key, asset_value in origin_assets.items():
# ... calculate new_href ...
origin_assets[asset_key]["href"] = new_href # THIS MODIFIES origin_assets IN PLACE
```
Yes, it modifies `origin_assets` in place. Since `asset_value` is a reference to the dict inside `origin_assets`, `origin_assets[asset_key]["href"] = ...` modifies that dict.
Revised Plan:
```python
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# Create a new dict to hold the updated assets
updated_assets = {}
for asset_key, asset_value in origin_assets.items():
# Keep original asset value for the 'origin' alternate
origin_asset_value = deepcopy(asset_value)
# Calculate server download link
new_href = without_arg_url
if query_dict:
new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
new_href += f"/{asset_key}"
# Construct the new asset entry
updated_assets[asset_key] = {
"title": asset_value.get("title", "Download link"),
"href": new_href,
"alternate": {
"origin": origin_asset_value
}
}
product_item["assets"] = dict(product_item["assets"], **updated_assets)
```
Wait, I should check if `asset_value` has other fields that should be preserved in the main asset entry. The example only shows `title` and `href`.
Example:
```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"
}
}
}
```
If `asset_value` was `{"title": "Origin asset link", "href": "s3://path/to/B01-asset"}`, the center asset becomes `{"title": "Download link", "href": "...", "alternate": {"origin": {"title": "Origin asset link", "href": "s3://..."}}}`.
Wait, the `title` in the center asset is "Download link" in the example, while the title in the origin asset is "Origin asset link".
If the original `origin_assets` had `title: "Origin asset link"`, then `asset_value.get("title", "Download link")` would give "Origin asset link". But the example wants "Download link" for the server asset and "Origin asset link" for the origin asset.
Wait, maybe the `origin_assets` already have different titles? Or maybe we should just set it to "Download link" for the server asset if it's different?
Actually, let's see what `origin_assets` typically contains. I don't have that info, but I can try to see if there's any other clue.
In the example:
`"title": "Download link"` for the server asset.
`"title": "Origin asset link"` for the origin asset.
If `asset_value` is the origin asset, and we want to create a server asset, we should probably use a default title "Download link" unless we want to preserve it. But the example specifically shows different titles.
Actually, if I use `deepcopy(asset_value)` for the origin asset, and then I set `href` and `title` for the main asset, it should work.
```python
# Construct the new asset entry
updated_assets[asset_key] = {
"title": "Download link",
"href": new_href,
"alternate": {
"origin": origin_asset_value
}
}
```
But what if `asset_value` had other important metadata? STAC assets can have more fields.
The current implementation does:
```python
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
# ...
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
The current implementation preserves all other fields in `origin_assets[asset_key]` because it modifies it in place.
So, to preserve other fields and implement the requested change:
```python
for asset_key, asset_value in origin_assets.items():
# Keep original asset value for the 'origin' alternate
origin_asset_value = deepcopy(asset_value)
# Calculate server download link
new_href = without_arg_url
if query_dict:
new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
new_href += f"/{asset_key}"
# Construct the new asset entry:
# - use a copy of the original asset value to preserve other fields
# - update href to the server link
# - update title to "Download link"
# - add alternate: origin
server_asset_value = deepcopy(asset_value)
server_asset_value["href"] = new_href
server_asset_value["title"] = "Download link" # Based on example
server_asset_value["alternate"] = {
"origin": origin_asset_value
}
updated_assets[asset_key] = server_asset_value
```
Actually, if I want to be safer about the title: maybe only use "Download link" if the original title doesn't look like "Download link"? No, the example is pretty explicit.
Let's double check if `origin_assets` can be something other than a dict of dicts.
`origin_assets = product_item["assets"].pop("origin_assets")`
`for asset_key, asset_value in origin_assets.items():`
So `origin_assets` is a dict, and `asset_value` is what we're using.
Wait, let's check if `product_item["assets"]` already contains assets that might be overwritten.
`product_item["assets"] = dict(product_item["assets"], **origin_assets)`
This means if `origin_assets` has a key that already exists in `product_item["assets"]`, it's overwritten.
Let's look at the current code again.
```python
# parse download link
url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
```
There's a `downloadLink` asset.
Then:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# ...
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
It seems `origin_assets` are the actual product assets (like "B01", "B02", etc.), while `downloadLink` is a more general link.
Let's verify this with a reproduction script. I need to mock the structures.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import json
from urllib.parse import urlparse, urlencode, parse_qs
def mock_build_assets(product_item, product, provider, without_arg_url, query_dict):
# This is a simplified version of the logic in __get_item_list
# parse download link (we just mock this part)
# url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
# query_dict = parse_qs(url_parts.query)
# ...
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# CURRENT IMPLEMENTATION
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)
return product_item
class MockProduct:
def __init__(self):
self.assets = True
product_item = {
"assets": {
"downloadLink": {"href": "http://127.0.0.1:5000/download"},
"origin_assets": {
"B01": {"title": "Origin asset link", "href": "s3://path/to/B01-asset"},
"B02": {"title": "Origin asset link", "href": "s3://path/to/B02-asset"},
}
}
}
product = MockProduct()
provider = "some-provider"
without_arg_url = "http://127.0.0.1:5000/collections/some-collection/items/some-product/download"
query_dict = {"provider": ["some-provider"]}
result = mock_build_assets(product_item, product, provider, without_arg_url, query_dict)
print(json.dumps(result, indent=2))
PY
<|"|>}<tool_call|><|tool_response>
Turn 6at 313 s650 tokens out11,026 prompt tokens
Yes, the current implementation replaces the origin `href` and keeps the origin `title`. Now let's implement the requested change in the reproduction script to verify it.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport json\nfrom urllib.parse import urlparse, urlencode, parse_qs\nfrom copy import deepcopy\n\ndef mock_build_assets_FIXED(product_item, product, provider, without_arg_url, query_dict):\n # add origin assets to product assets\n origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n if getattr(product, \"assets\", False):\n updated_assets = {}\n for asset_key, asset_value in origin_assets.items():\n # Keep original asset value for the 'origin' alternate\n origin_asset_value = deepcopy(asset_value)\n \n # Calculate server download link\n new_href = without_arg_url\n if query_dict:\n new_href += f\"/{asset_key}?{urlencode(query_dict, doseq=True)}\"\n else:\n new_href += f\"/{asset_key}\"\n \n # Construct the new asset entry\n server_asset_value = deepcopy(asset_value)\n server_asset_value[\"href\"] = new_href\n server_asset_value[\"title\"] = \"Download link\"\n server_asset_value[\"alternate\"] = {\n \"origin\": origin_asset_value\n }\n updated_assets[asset_key] = server_asset_value\n\n product_item[\"assets\"] = dict(product_item[\"assets\"], **updated_assets)\n \n return product_item\n\nclass MockProduct:\n def __init__(self):\n self.assets = True\n\nproduct_item = {\n \"assets\": {\n \"downloadLink\": {\"href\": \"http://127.0.0.1:5000/download\"},\n \"origin_assets\": {\n \"B01\": {\"title\": \"Origin asset link\", \"href\": \"s3://path/to/B01-asset\"},\n \"B02\": {\"title\": \"Origin asset link\", \"href\": \"s3://path/to/B02-asset\"},\n }\n }\n}\nproduct = MockProduct()\nprovider = \"some-provider\"\nwithout_arg_url = \"http://127.0.0.1:5000/collections/some-collection/items/some-product/download\"\nquery_dict = {\"provider\": [\"some-provider\"]}\n\nresult = mock_build_assets_FIXED(product_item, product, provider, without_arg_url, query_dict)\nprint(json.dumps(result, indent=2))\nPY\n"
}Result of run_command 868 characters
{
"status": "ok",
"stdout": "{\n \"assets\": {\n \"downloadLink\": {\n \"href\": \"http://127.0.0.1:5000/download\"\n },\n \"B01\": {\n \"title\": \"Download link\",\n \"href\": \"http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01?provider=some-provider\",\n \"alternate\": {\n \"origin\": {\n \"title\": \"Origin asset link\",\n \"href\": \"s3://path/to/B01-asset\"\n }\n }\n },\n \"B02\": {\n \"title\": \"Download link\",\n \"href\": \"http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B02?provider=some-provider\",\n \"alternate\": {\n \"origin\": {\n \"title\": \"Origin asset link\",\n \"href\": \"s3://path/to/B02-asset\"\n }\n }\n }\n }\n}\n",
"stderr": "",
"exit_code": 0
}Generated tokens 650 tokens · stopped: STOP
Yes, the current implementation replaces the origin `href` and keeps the origin `title`.
Now let's implement the requested change in the reproduction script to verify it.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import json
from urllib.parse import urlparse, urlencode, parse_qs
from copy import deepcopy
def mock_build_assets_FIXED(product_item, product, provider, without_arg_url, query_dict):
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
updated_assets = {}
for asset_key, asset_value in origin_assets.items():
# Keep original asset value for the 'origin' alternate
origin_asset_value = deepcopy(asset_value)
# Calculate server download link
new_href = without_arg_url
if query_dict:
new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
new_href += f"/{asset_key}"
# Construct the new asset entry
server_asset_value = deepcopy(asset_value)
server_asset_value["href"] = new_href
server_asset_value["title"] = "Download link"
server_asset_value["alternate"] = {
"origin": origin_asset_value
}
updated_assets[asset_key] = server_asset_value
product_item["assets"] = dict(product_item["assets"], **updated_assets)
return product_item
class MockProduct:
def __init__(self):
self.assets = True
product_item = {
"assets": {
"downloadLink": {"href": "http://127.0.0.1:5000/download"},
"origin_assets": {
"B01": {"title": "Origin asset link", "href": "s3://path/to/B01-asset"},
"B02": {"title": "Origin asset link", "href": "s3://path/to/B02-asset"},
}
}
}
product = MockProduct()
provider = "some-provider"
without_arg_url = "http://127.0.0.1:5000/collections/some-collection/items/some-product/download"
query_dict = {"provider": ["some-provider"]}
result = mock_build_assets_FIXED(product_item, product, provider, without_arg_url, query_dict)
print(json.dumps(result, indent=2))
PY
<|"|>}<tool_call|><|tool_response>
Turn 7at 326 s170 tokens out11,996 prompt tokens
This matches the requested JSON structure. Now let's apply this to `eodag/rest/stac.py`. Wait, I should check if there are other places in `eodag/rest/stac.py` where this logic is duplicated. I saw line 530: `product_dict["assets"] = product.assets.as_dict()`. That's just preparing `product_dict`. The actual STAC item asset building seems to happen in `__get_item_list`. Let's search for `origin_assets` in `eodag/rest/stac.py`.
TOOL CALL · run_command
{
"command": "grep -rn \"origin_assets\" eodag/rest/stac.py"
}Result of run_command 529 characters
{
"status": "ok",
"stdout": "279: origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n282: for asset_key, asset_value in origin_assets.items():\n283: origin_assets[asset_key][\"href\"] = without_arg_url\n285: origin_assets[asset_key][\n289: origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\n291: product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 170 tokens · stopped: STOP
This matches the requested JSON structure.
Now let's apply this to `eodag/rest/stac.py`.
Wait, I should check if there are other places in `eodag/rest/stac.py` where this logic is duplicated.
I saw line 530: `product_dict["assets"] = product.assets.as_dict()`. That's just preparing `product_dict`. The actual STAC item asset building seems to happen in `__get_item_list`.
Let's search for `origin_assets` in `eodag/rest/stac.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "origin_assets" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 8at 403 s1,407 tokens out12,346 prompt tokens
It only appears in one place.
Now I will apply the fix using `edit_file`.
Wait, I need to make sure I import `deepcopy` if I use it. It is already imported at line 56: `from eodag.utils import ( ... deepcopy, ... )`.
Let's review the original code block:
```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)
```
I'll replace it with:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
updated_assets = {}
for asset_key, asset_value in origin_assets.items():
# Keep original asset value for the 'origin' alternate
origin_asset_value = deepcopy(asset_value)
# Calculate server download link
new_href = without_arg_url
if query_dict:
new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
new_href += f"/{asset_key}"
# Construct the new asset entry
server_asset_value = deepcopy(asset_value)
server_asset_value["href"] = new_href
server_asset_value["title"] = "Download link"
server_asset_value["alternate"] = {
"origin": origin_asset_value
}
updated_assets[asset_key] = server_asset_value
product_item["assets"] = dict(product_item["assets"], **updated_assets)
```
Wait, I should check if `datepicker` or other fields are important. The original code was:
```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}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
This modified `origin_assets` in place. Since `asset_value` was a reference to the dictionary in `origin_assets`, the modifications persisted.
My proposed fix:
1. Use `updated_assets` map.
2. Use `deepcopy(asset_value)` to keep the origin.
3. Use `deepcopy(asset_value)` to create the server asset and then modify its `href`, `title`, and `alternate`.
This seems correct and preserves other metadata.
One detail: `without_arg_url` is defined as:
```python
without_arg_url = (
f"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}"
if url_parts.scheme
else f"{url_parts.netloc}{url_parts.path}"
)
```
And `url_parts` comes from `product_item["assets"]["downloadLink"]["href"]`.
Let's apply the fix.
TOOL CALL · edit_file
{
"filepath": "eodag/rest/stac.py",
"new_string": " # add origin assets to product assets\n origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n if getattr(product, \"assets\", False):\n updated_assets = {}\n for asset_key, asset_value in origin_assets.items():\n # Keep original asset value for the 'origin' alternate\n origin_asset_value = deepcopy(asset_value)\n\n # Calculate server download link\n new_href = without_arg_url\n if query_dict:\n new_href += f\"/{asset_key}?{urlencode(query_dict, doseq=True)}\"\n else:\n new_href += f\"/{asset_key}\"\n\n # Construct the new asset entry\n server_asset_value = deepcopy(asset_value)\n server_asset_value[\"href\"] = new_href\n server_asset_value[\"title\"] = \"Download link\"\n server_asset_value[\"alternate\"] = {\n \"origin\": origin_asset_value\n }\n updated_assets[asset_key] = server_asset_value\n\n product_item[\"assets\"] = dict(product_item[\"assets\"], **updated_assets)",
"old_string": " # 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)"
}Result of edit_file 2,126 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"occurrences": 1,
"strategy": "exact",
"diff": "--- a/eodag/rest/stac.py\n+++ b/eodag/rest/stac.py\n@@ -278,17 +278,28 @@\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+ updated_assets = {}\n for asset_key, asset_value in origin_assets.items():\n- origin_assets[asset_key][\"href\"] = without_arg_url\n+ # Keep original asset value for the 'origin' alternate\n+ origin_asset_value = deepcopy(asset_value)\n+\n+ # Calculate server download link\n+ new_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+ new_href += 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+ new_href += f\"/{asset_key}\"\n+\n+ # Construct the new asset entry\n+ server_asset_value = deepcopy(asset_value)\n+ server_asset_value[\"href\"] = new_href\n+ server_asset_value[\"title\"] = \"Download link\"\n+ server_asset_value[\"alternate\"] = {\n+ \"origin\": origin_asset_value\n+ }\n+ updated_assets[asset_key] = server_asset_value\n+\n+ product_item[\"assets\"] = dict(product_item[\"assets\"], **updated_assets)\n \n # apply conversion if needed\n for prop_key, prop_val in need_conversion.items():\n",
"is_truncated": false
}Generated tokens 1,407 tokens · stopped: STOP
It only appears in one place.
Now I will apply the fix using `edit_file`.
Wait, I need to make sure I import `deepcopy` if I use it. It is already imported at line 56: `from eodag.utils import ( ... deepcopy, ... )`.
Let's review the original code block:
```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)
```
I'll replace it with:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
updated_assets = {}
for asset_key, asset_value in origin_assets.items():
# Keep original asset value for the 'origin' alternate
origin_asset_value = deepcopy(asset_value)
# Calculate server download link
new_href = without_arg_url
if query_dict:
new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
new_href += f"/{asset_key}"
# Construct the new asset entry
server_asset_value = deepcopy(asset_value)
server_asset_value["href"] = new_href
server_asset_value["title"] = "Download link"
server_asset_value["alternate"] = {
"origin": origin_asset_value
}
updated_assets[asset_key] = server_asset_value
product_item["assets"] = dict(product_item["assets"], **updated_assets)
```
Wait, I should check if `datepicker` or other fields are important. The original code was:
```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}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
This modified `origin_assets` in place. Since `asset_value` was a reference to the dictionary in `origin_assets`, the modifications persisted.
My proposed fix:
1. Use `updated_assets` map.
2. Use `deepcopy(asset_value)` to keep the origin.
3. Use `deepcopy(asset_value)` to create the server asset and then modify its `href`, `title`, and `alternate`.
This seems correct and preserves other metadata.
One detail: `without_arg_url` is defined as:
```python
without_arg_url = (
f"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}"
if url_parts.scheme
else f"{url_parts.netloc}{url_parts.path}"
)
```
And `url_parts` comes from `product_item["assets"]["downloadLink"]["href"]`.
Let's apply the fix.<channel|><|tool_call>call:edit_file{filepath:<|"|>eodag/rest/stac.py<|"|>,new_string:<|"|> # add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
updated_assets = {}
for asset_key, asset_value in origin_assets.items():
# Keep original asset value for the 'origin' alternate
origin_asset_value = deepcopy(asset_value)
# Calculate server download link
new_href = without_arg_url
if query_dict:
new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
new_href += f"/{asset_key}"
# Construct the new asset entry
server_asset_value = deepcopy(asset_value)
server_asset_value["href"] = new_href
server_asset_value["title"] = "Download link"
server_asset_value["alternate"] = {
"origin": origin_asset_value
}
updated_assets[asset_key] = server_asset_value
product_item["assets"] = dict(product_item["assets"], **updated_assets)<|"|>,old_string:<|"|> # 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)<|"|>}<tool_call|><|tool_response>
Turn 9at 422 s141 tokens out14,340 prompt tokens
Now that I've applied the fix, I should verify it again. I'll run the same reproduction script, but this time I can try to import the actual function from `eodag.rest.stac` if I can set up the mock objects correctly. Actually, since the reproduction script is simple and I've already verified the logic, I'll just do one final check on the code for any obvious errors and then check if there are any tests I can run. Searching for tests in `tests/` that might relate to STAC.
TOOL CALL · run_command
{
"command": "find tests -name \"*stac*\""
}Result of run_command 231 characters
{
"status": "ok",
"stdout": "tests/resources/stac\ntests/resources/stac_singlefile.json\ntests/units/test_stac_reader.py\ntests/units/test_stac_utils.py\ntests/integration/test_search_stac_static.py\n",
"stderr": "",
"exit_code": 0
}Generated tokens 141 tokens · stopped: STOP
Now that I've applied the fix, I should verify it again. I'll run the same reproduction script, but this time I can try to import the actual function from `eodag.rest.stac` if I can set up the mock objects correctly.
Actually, since the reproduction script is simple and I've already verified the logic, I'll just do one final check on the code for any obvious errors and then check if there are any tests I can run.
Searching for tests in `tests/` that might relate to STAC.
<channel|><|tool_call>call:run_command{command:<|"|>find tests -name "*stac*"<|"|>}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
diff --git a/eodag/rest/stac.py b/eodag/rest/stac.py
index 4114e3c..21a9e68 100644
--- a/eodag/rest/stac.py
+++ b/eodag/rest/stac.py
@@ -278,17 +278,28 @@ class StacItem(StacCommon):
# 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
+ updated_assets = {}
for asset_key, asset_value in origin_assets.items():
- origin_assets[asset_key]["href"] = without_arg_url
+ # Keep original asset value for the 'origin' alternate
+ origin_asset_value = deepcopy(asset_value)
+
+ # Calculate server download link
+ new_href = without_arg_url
if query_dict:
- origin_assets[asset_key][
- "href"
- ] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
+ new_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
- origin_assets[asset_key]["href"] += f"/{asset_key}"
+ new_href += f"/{asset_key}"
+
+ # Construct the new asset entry
+ server_asset_value = deepcopy(asset_value)
+ server_asset_value["href"] = new_href
+ server_asset_value["title"] = "Download link"
+ server_asset_value["alternate"] = {
+ "origin": origin_asset_value
+ }
+ updated_assets[asset_key] = server_asset_value
- product_item["assets"] = dict(product_item["assets"], **origin_assets)
+ product_item["assets"] = dict(product_item["assets"], **updated_assets)
# apply conversion if needed
for prop_key, prop_val in need_conversion.items():
Test output Included
============================= test session starts ==============================
collected 30 items
tests/units/test_stac_utils.py .............................. [100%]
=============================== warnings summary ===============================
../usr/local/lib/python3.10/site-packages/requests/__init__.py:113
/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!
warnings.warn(
eodag/api/core.py:28
/eodag/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.
import pkg_resources
tests/units/test_stac_utils.py::TestStacUtils::test_detailled_collections_list
/usr/local/lib/python3.10/site-packages/whoosh/codec/whoosh3.py:1116: SyntaxWarning: "is" with a literal. Did you mean "=="?
elif fixedsize is 0:
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
==================================== PASSES ====================================
______________________ TestStacUtils.test_filter_products ______________________
------------------------------ Captured log call -------------------------------
WARNING eodag.crunch.latest_tpl_name:filter_latest_tpl_name.py:88 The name of the product EOProduct(id=S2B_MSIL1C_20200815T030549_N0209_R075_T55XEB_20200815T051416, provider=peps) as returned by the search plugin does not match the name pattern expected by the cruncher FilterLatestByName. Name of the product: S2B_MSIL1C_20200815T030549_N0209_R075_T55XEB_20200815T051416. Name pattern expected: re.compile('S2[AB]_MSIL1C_20(?P<tileid>\\d{6}).*T21NY.*')
WARNING eodag.crunch.latest_tpl_name:filter_latest_tpl_name.py:88 The name of the product EOProduct(id=S2B_MSIL1C_20200815T030549_N0209_R075_T54XVH_20200815T051416, provider=peps) as returned by the search plugin does not match the name pattern expected by the cruncher FilterLatestByName. Name of the product: S2B_MSIL1C_20200815T030549_N0209_R075_T54XVH_20200815T051416. Name pattern expected: re.compile('S2[AB]_MSIL1C_20(?P<tileid>\\d{6}).*T21NY.*')
_____________________ TestStacUtils.test_get_product_types _____________________
------------------------------ Captured log call -------------------------------
WARNING eodag.config:config.py:548 Could not read local external product types conf from
WARNING eodag.config:config.py:548 Could not read local external product types conf from
_____________________ TestStacUtils.test_get_stac_catalogs _____________________
------------------------------ Captured log call -------------------------------
WARNING eodag.config:config.py:548 Could not read local external product types conf from
_________________ TestStacUtils.test_get_stac_collection_by_id _________________
------------------------------ Captured log call -------------------------------
WARNING eodag.config:config.py:548 Could not read local external product types conf from
___________________ TestStacUtils.test_get_stac_collections ____________________
------------------------------ Captured log call -------------------------------
WARNING eodag.config:config.py:548 Could not read local external product types conf from
____________________ TestStacUtils.test_get_stac_item_by_id ____________________
------------------------------ Captured log call -------------------------------
WARNING eodag.product.metadata_mapping:metadata_mapping.py:483 Could not extract property from Not Available using (?P<ONLINE>disk|tier2)|(?P<STAGING>staging)|(?P<OFFLINE>unknown|tape|tier3)
WARNING eodag.config:config.py:548 Could not read local external product types conf from
WARNING eodag.core:core.py:1490 unknown product type S3_MSI_L1C
WARNING eodag.config:config.py:548 Could not read local external product types conf from
WARNING eodag.core:core.py:1018 No result could be obtained from provider peps, we will try to get the data from another provider
WARNING eodag.core:core.py:1753 Results found on provider 'theia' is the total number of products available in the searched collection (e.g. SENTINEL2) instead of the total number of products matching the search criteria
WARNING eodag.core:core.py:1018 No result could be obtained from provider theia, we will try to get the data from another provider
WARNING eodag.core:core.py:1018 No result could be obtained from provider creodias, we will try to get the data from another provider
ERROR eodag.search.qssearch:qssearch.py:844 Skipping error while counting results for onda ODataV4Search instance:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/urllib/request.py", line 1348, in do_open
h.request(req.get_method(), req.selector, req.data, headers,
File "/usr/local/lib/python3.10/http/client.py", line 1283, in request
self._send_request(method, url, body, headers, encode_chunked)
File "/usr/local/lib/python3.10/http/client.py", line 1329, in _send_request
self.endheaders(body, encode_chunked=encode_chunked)
File "/usr/local/lib/python3.10/http/client.py", line 1278, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "/usr/local/lib/python3.10/http/client.py", line 1038, in _send_output
self.send(msg)
File "/usr/local/lib/python3.10/http/client.py", line 976, in send
self.connect()
File "/usr/local/lib/python3.10/http/client.py", line 1448, in connect
super().connect()
File "/usr/local/lib/python3.10/http/client.py", line 942, in connect
self.sock = self._create_connection(
File "/usr/local/lib/python3.10/socket.py", line 836, in create_connection
for res in getaddrinfo(host, port, 0, SOCK_STREAM):
File "/usr/local/lib/python3.10/socket.py", line 967, in getaddrinfo
for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
socket.gaierror: [Errno -3] Temporary failure in name resolution
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/eodag/eodag/plugins/search/qssearch.py", line 830, in _request
urllib_response = urlopen(urllib_req, timeout=timeout)
File "/usr/local/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/local/lib/python3.10/urllib/request.py", line 519, in open
response = self._open(req, data)
File "/usr/local/lib/python3.10/urllib/request.py", line 536, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "/usr/local/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/local/lib/python3.10/urllib/request.py", line 1391, in https_open
return self.do_open(http.client.HTTPSConnection, req,
File "/usr/local/lib/python3.10/urllib/request.py", line 1351, in do_open
raise URLError(err)
urllib.error.URLError: <urlopen error [Errno -3] Temporary failure in name resolution>
ERROR eodag.core:core.py:1768 Error while searching on provider onda (ignored):
Traceback (most recent call last):
File "/usr/local/lib/python3.10/urllib/request.py", line 1348, in do_open
h.request(req.get_method(), req.selector, req.data, headers,
File "/usr/local/lib/python3.10/http/client.py", line 1283, in request
self._send_request(method, url, body, headers, encode_chunked)
File "/usr/local/lib/python3.10/http/client.py", line 1329, in _send_request
self.endheaders(body, encode_chunked=encode_chunked)
File "/usr/local/lib/python3.10/http/client.py", line 1278, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "/usr/local/lib/python3.10/http/client.py", line 1038, in _send_output
self.send(msg)
File "/usr/local/lib/python3.10/http/client.py", line 976, in send
self.connect()
File "/usr/local/lib/python3.10/http/client.py", line 1448, in connect
super().connect()
File "/usr/local/lib/python3.10/http/client.py", line 942, in connect
self.sock = self._create_connection(
File "/usr/local/lib/python3.10/socket.py", line 836, in create_connection
for res in getaddrinfo(host, port, 0, SOCK_STREAM):
File "/usr/local/lib/python3.10/socket.py", line 967, in getaddrinfo
for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
socket.gaierror: [Errno -3] Temporary failure in name resolution
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/eodag/eodag/plugins/search/qssearch.py", line 830, in _request
urllib_response = urlopen(urllib_req, timeout=timeout)
File "/usr/local/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/local/lib/python3.10/urllib/request.py", line 519, in open
response = self._open(req, data)
File "/usr/local/lib/python3.10/urllib/request.py", line 536, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "/usr/local/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/local/lib/python3.10/urllib/request.py", line 1391, in https_open
return self.do_open(http.client.HTTPSConnection, req,
File "/usr/local/lib/python3.10/urllib/request.py", line 1351, in do_open
raise URLError(err)
urllib.error.URLError: <urlopen error [Errno -3] Temporary failure in name resolution>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/eodag/eodag/api/core.py", line 1640, in _do_search
res, nb_res = search_plugin.query(count=count, auth=auth_plugin, **kwargs)
File "/eodag/eodag/plugins/search/qssearch.py", line 479, in query
self.search_urls, total_items = self.collect_search_urls(
File "/eodag/eodag/plugins/search/qssearch.py", line 549, in collect_search_urls
_total_results = self.count_hits(
File "/eodag/eodag/plugins/search/qssearch.py", line 740, in count_hits
response = self._request(
File "/eodag/eodag/plugins/search/qssearch.py", line 853, in _request
raise RequestError(str(err))
eodag.utils.exceptions.RequestError: <urlopen error [Errno -3] Temporary failure in name resolution>
WARNING eodag.core:core.py:1018 No result could be obtained from provider onda, we will try to get the data from another provider
WARNING eodag.core:core.py:1018 No result could be obtained from provider astraea_eod, we will try to get the data from another provider
WARNING eodag.core:core.py:1018 No result could be obtained from provider usgs_satapi_aws, we will try to get the data from another provider
WARNING eodag.core:core.py:1018 No result could be obtained from provider earth_search, we will try to get the data from another provider
WARNING eodag.core:core.py:1018 No result could be obtained from provider earth_search_cog, we will try to get the data from another provider
WARNING eodag.core:core.py:1018 No result could be obtained from provider earth_search_gcs, we will try to get the data from another provider
WARNING eodag.core:core.py:1018 No result could be obtained from provider sara, we will try to get the data from another provider
WARNING eodag.core:core.py:1018 No result could be obtained from provider cop_dataspace, we will try to get the data from another provider
ERROR eodag.core:core.py:1025 No result could be obtained from any available provider
______________________ TestStacUtils.test_search_products ______________________
------------------------------ Captured log call -------------------------------
WARNING eodag.product.metadata_mapping:metadata_mapping.py:483 Could not extract property from Not Available using (?P<ONLINE>disk|tier2)|(?P<STAGING>staging)|(?P<OFFLINE>unknown|tape|tier3)
WARNING eodag.product.metadata_mapping:metadata_mapping.py:483 Could not extract property from Not Available using (?P<ONLINE>disk|tier2)|(?P<STAGING>staging)|(?P<OFFLINE>unknown|tape|tier3)
WARNING eodag.product.metadata_mapping:metadata_mapping.py:483 Could not extract property from Not Available using (?P<ONLINE>disk|tier2)|(?P<STAGING>staging)|(?P<OFFLINE>unknown|tape|tier3)
___________________ TestStacUtils.test_search_stac_items_get ___________________
------------------------------ Captured log call -------------------------------
WARNING eodag.config:config.py:548 Could not read local external product types conf from
__________________ TestStacUtils.test_search_stac_items_post ___________________
------------------------------ Captured log call -------------------------------
WARNING eodag.config:config.py:548 Could not read local external product types conf from
___________ TestStacUtils.test_search_stac_items_with_stac_providers ___________
------------------------------ Captured log call -------------------------------
WARNING eodag.config:config.py:548 Could not read local external product types conf from
- generated xml file: /tmp/rebench-grade-ea114d7ccd1a461c818fc9ed099acb92.xml --
=========================== short test summary info ============================
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_detailled_collections_list
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_filter_products
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_filter_misuse_raise_error
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_missing_additional_parameters_raise_error
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_unknown_cruncher_raise_error
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_format_product_types
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_arguments_query_paths
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_criterias_from_metadata_mapping
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_date
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_datetime
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_geometry
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_int
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_metadata_query_paths
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_pagination_info
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_product_types
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_catalogs
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_collection_by_id
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_collections
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_conformance
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_extension_oseo
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_item_by_id
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_get_templates_path
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_home_page_content
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_search_bbox
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_search_product_by_id
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_search_products
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_get
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_post
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_with_non_stac_providers
PASSED tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_with_stac_providers
======================== 30 passed, 3 warnings in 2.99s ========================
Test errors Included
Test report (JUnit) Included
<?xml version="1.0" encoding="utf-8"?><testsuites name="pytest tests"><testsuite name="pytest" errors="0" failures="0" skipped="0" tests="30" time="2.988" timestamp="2026-11-14T04:50:05.120631+00:00" hostname="a64e9976186e"><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_detailled_collections_list" time="0.977" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_filter_products" time="0.001" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_filter_products_filter_misuse_raise_error" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_filter_products_missing_additional_parameters_raise_error" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_filter_products_unknown_cruncher_raise_error" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_format_product_types" time="0.001" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_arguments_query_paths" time="0.011" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_criterias_from_metadata_mapping" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_date" time="0.001" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_datetime" time="0.001" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_geometry" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_int" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_metadata_query_paths" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_pagination_info" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_product_types" time="0.031" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_stac_catalogs" time="0.007" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_stac_collection_by_id" time="0.134" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_stac_collections" time="0.298" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_stac_conformance" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_stac_extension_oseo" time="0.002" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_stac_item_by_id" time="0.031" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_get_templates_path" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_home_page_content" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_search_bbox" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_search_product_by_id" time="0.000" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_search_products" time="0.005" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_search_stac_items_get" time="0.027" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_search_stac_items_post" time="0.019" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_search_stac_items_with_non_stac_providers" time="0.015" /><testcase classname="tests.units.test_stac_utils.TestStacUtils" name="test_search_stac_items_with_stac_providers" time="0.020" /></testsuite></testsuites>
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.
[ 17.6s] 💭 (893 chars) "The objective is to implement "alternate assets" in server mode for `eodag`. Specifically,
when in server mode, both the..."
[ 17.6s] 🔧 run_command grep -rn --include="*.py" "assets" eodag/rest/stac.py
[ 17.6s] → 245: product_dict["assets"] = product.assets.as_dict()
[ 23.4s] 💭 (136 chars) "Okay, `eodag/rest/stac.py` seems to be the place. Lines 245-291 look very relevant.
Let's read `eodag/rest/stac.py` aro..."
[ 23.4s] 📖 read_file (eodag/rest/stac.py)
[ 23.4s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' ) -> List[Dict[str, Any]]:\n
"""Build STAC ite…
[ 100.5s] 💭 (4407 chars) "In the current code:
```python
# add origin assets to product assets
origin_assets = product_ite..."
[ 100.5s] 📖 read_file (eodag/rest/stac.py)
[ 100.5s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '# -*- coding: utf-8 -*-\n# Copyright
2018, CS Systemes d\…
[ 111.3s] 💭 (409 chars) "The class is `StacCommon` (though it might be used as a base class). Looking at the search
results, the function I was r..."
[ 111.3s] 📖 read_file (eodag/rest/stac.py)
[ 111.4s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' """\n\n def __init__(\n
self,\n url:…
[ 263.6s] 💭 (8698 chars) "The method is `__get_item_list` in `StacItem`.
Let's see how it handles `origin_assets`.
```python
# add o..."
[ 263.6s] 🔧 run_command (48 lines) python3 - <<'PY'
[ 263.6s] → {
[ 291.0s] 💭 (171 chars) "Yes, the current implementation replaces the origin `href` and keeps the origin `title`.
Now let's implement the reques..."
[ 291.0s] 🔧 run_command (55 lines) python3 - <<'PY'
[ 291.1s] → {
[ 303.8s] 💭 (433 chars) "This matches the requested JSON structure.
Now let's apply this to `eodag/rest/stac.py`.
Wait, I should check if there..."
[ 303.8s] 🔧 run_command grep -rn "origin_assets" eodag/rest/stac.py
[ 303.8s] → 279: origin_assets = product_item["assets"].pop("origin_assets")
[ 380.6s] 💭 (3737 chars) "It only appears in one place.
Now I will apply the fix using `edit_file`.
Wait, I need to make sure I import `deepcopy..."
[ 380.6s] ✏️ edit_file (eodag/rest/stac.py)
[ 380.7s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'occurrences': 1, 'strategy': 'exact', 'diff': '---
a/eodag/rest/stac…
[ 399.9s] 💭 (477 chars) "Now that I've applied the fix, I should verify it again. I'll run the same reproduction
script, but this time I can try ..."
[ 399.9s] 🔧 run_command find tests -name "*stac*"
[ 399.9s] → tests/resources/stac
Native result row
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"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 479.8,
"error": "Agent exceeded session timeout (7.5 min)",
"grade": {
"collected_tests": 30,
"competition_junit_ok": true,
"error": null,
"required_issues_count": 0,
"resolved": true,
"status_counts": {
"PASSED": 30
},
"strict_clean_patch": true,
"test_exit_code": 0
},
"instance_id": "cs-si__eodag-961",
"pass_idx": 0,
"patch_chars": 2034,
"phase1_seconds": 474.9,
"repo": "CS-SI/eodag",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/cs-si__eodag-961__p0__r2.jsonl",
"resolved": true,
"rollout_idx": 2,
"run_key": "cs-si__eodag-961__p0__r2",
"strict_clean_patch": true,
"tool_calls": 9,
"total_llm_calls": 9,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_cs-si__eodag-961__p0__r2.json"
}